cmpe597_project2.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/alperkent/CIFAR10-CNN/blob/main/cmpe597_project2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3i61W8DkUiFQ"
      },
      "source": [
        "Next 4 cells are for installing a t-SNE package (tsne-cuda) that can utilize GPU to handle much faster calculations.\n",
        "\n",
        "tsne-cuda: https://github.com/CannyLab/tsne-cuda"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xTzan2_2qOUz",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "337d903d-619b-48e3-bd74-af34658461a4"
      },
      "source": [
        "!echo $PYTHONPATH\n",
        "%env PYTHONPATH="
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/env/python\n",
            "env: PYTHONPATH=\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FwlfjfofUL8M",
        "outputId": "3a201c8b-1945-4759-b96c-4ee66aeb3adf"
      },
      "source": [
        "%%bash\n",
        "MINICONDA_INSTALLER_SCRIPT=Miniconda3-4.5.4-Linux-x86_64.sh\n",
        "MINICONDA_PREFIX=/usr/local\n",
        "wget https://repo.continuum.io/miniconda/$MINICONDA_INSTALLER_SCRIPT\n",
        "chmod +x $MINICONDA_INSTALLER_SCRIPT\n",
        "./$MINICONDA_INSTALLER_SCRIPT -b -f -p $MINICONDA_PREFIX\n",
        "conda install --channel defaults conda python=3.7 --yes\n",
        "conda update --channel defaults --all --yes"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "PREFIX=/usr/local\n",
            "installing: python-3.6.5-hc3d631a_2 ...\n",
            "installing: ca-certificates-2018.03.07-0 ...\n",
            "installing: conda-env-2.6.0-h36134e3_1 ...\n",
            "installing: libgcc-ng-7.2.0-hdf63c60_3 ...\n",
            "installing: libstdcxx-ng-7.2.0-hdf63c60_3 ...\n",
            "installing: libffi-3.2.1-hd88cf55_4 ...\n",
            "installing: ncurses-6.1-hf484d3e_0 ...\n",
            "installing: openssl-1.0.2o-h20670df_0 ...\n",
            "installing: tk-8.6.7-hc745277_3 ...\n",
            "installing: xz-5.2.4-h14c3975_4 ...\n",
            "installing: yaml-0.1.7-had09818_2 ...\n",
            "installing: zlib-1.2.11-ha838bed_2 ...\n",
            "installing: libedit-3.1.20170329-h6b74fdf_2 ...\n",
            "installing: readline-7.0-ha6073c6_4 ...\n",
            "installing: sqlite-3.23.1-he433501_0 ...\n",
            "installing: asn1crypto-0.24.0-py36_0 ...\n",
            "installing: certifi-2018.4.16-py36_0 ...\n",
            "installing: chardet-3.0.4-py36h0f667ec_1 ...\n",
            "installing: idna-2.6-py36h82fb2a8_1 ...\n",
            "installing: pycosat-0.6.3-py36h0a5515d_0 ...\n",
            "installing: pycparser-2.18-py36hf9f622e_1 ...\n",
            "installing: pysocks-1.6.8-py36_0 ...\n",
            "installing: ruamel_yaml-0.15.37-py36h14c3975_2 ...\n",
            "installing: six-1.11.0-py36h372c433_1 ...\n",
            "installing: cffi-1.11.5-py36h9745a5d_0 ...\n",
            "installing: setuptools-39.2.0-py36_0 ...\n",
            "installing: cryptography-2.2.2-py36h14c3975_0 ...\n",
            "installing: wheel-0.31.1-py36_0 ...\n",
            "installing: pip-10.0.1-py36_0 ...\n",
            "installing: pyopenssl-18.0.0-py36_0 ...\n",
            "installing: urllib3-1.22-py36hbe7ace6_0 ...\n",
            "installing: requests-2.18.4-py36he2e5f8d_1 ...\n",
            "installing: conda-4.5.4-py36_0 ...\n",
            "installation finished.\n",
            "Solving environment: ...working... done\n",
            "\n",
            "## Package Plan ##\n",
            "\n",
            "  environment location: /usr/local\n",
            "\n",
            "  added / updated specs: \n",
            "    - conda\n",
            "    - python=3.7\n",
            "\n",
            "\n",
            "The following packages will be downloaded:\n",
            "\n",
            "    package                    |            build\n",
            "    ---------------------------|-----------------\n",
            "    libstdcxx-ng-9.1.0         |       hdf63c60_0         4.0 MB\n",
            "    urllib3-1.26.4             |     pyhd3eb1b0_0          99 KB\n",
            "    six-1.15.0                 |     pyhd3eb1b0_0          13 KB\n",
            "    openssl-1.1.1k             |       h27cfd23_0         3.8 MB\n",
            "    requests-2.25.1            |     pyhd3eb1b0_0          51 KB\n",
            "    pyopenssl-20.0.1           |     pyhd3eb1b0_1          48 KB\n",
            "    idna-2.10                  |     pyhd3eb1b0_0          52 KB\n",
            "    cryptography-3.4.7         |   py37hd23ed53_0         1.0 MB\n",
            "    pycosat-0.6.3              |   py37h27cfd23_0         108 KB\n",
            "    yaml-0.2.5                 |       h7b6447c_0          87 KB\n",
            "    xz-5.2.5                   |       h7b6447c_0         438 KB\n",
            "    ruamel_yaml-0.15.100       |   py37h27cfd23_0         267 KB\n",
            "    conda-package-handling-1.7.3|   py37h27cfd23_1         962 KB\n",
            "    pysocks-1.7.1              |           py37_1          27 KB\n",
            "    python-3.7.10              |       hdb3f193_0        52.7 MB\n",
            "    setuptools-52.0.0          |   py37h06a4308_0         921 KB\n",
            "    sqlite-3.35.4              |       hdfb4753_0         1.4 MB\n",
            "    pip-21.1.1                 |   py37h06a4308_0         2.0 MB\n",
            "    conda-4.10.1               |   py37h06a4308_1         3.1 MB\n",
            "    ld_impl_linux-64-2.33.1    |       h53a641e_7         645 KB\n",
            "    zlib-1.2.11                |       h7b6447c_3         120 KB\n",
            "    _libgcc_mutex-0.1          |             main           3 KB\n",
            "    libgcc-ng-9.1.0            |       hdf63c60_0         8.1 MB\n",
            "    ncurses-6.2                |       he6710b0_1         1.1 MB\n",
            "    cffi-1.14.5                |   py37h261ae71_0         224 KB\n",
            "    pycparser-2.20             |             py_2          94 KB\n",
            "    chardet-4.0.0              |py37h06a4308_1003         205 KB\n",
            "    brotlipy-0.7.0             |py37h27cfd23_1003         350 KB\n",
            "    certifi-2020.12.5          |   py37h06a4308_0         143 KB\n",
            "    wheel-0.36.2               |     pyhd3eb1b0_0          31 KB\n",
            "    libffi-3.3                 |       he6710b0_2          54 KB\n",
            "    ca-certificates-2021.4.13  |       h06a4308_1         120 KB\n",
            "    tqdm-4.59.0                |     pyhd3eb1b0_1          90 KB\n",
            "    readline-8.1               |       h27cfd23_0         464 KB\n",
            "    tk-8.6.10                  |       hbc83047_0         3.2 MB\n",
            "    ------------------------------------------------------------\n",
            "                                           Total:        86.0 MB\n",
            "\n",
            "The following NEW packages will be INSTALLED:\n",
            "\n",
            "    _libgcc_mutex:          0.1-main               \n",
            "    brotlipy:               0.7.0-py37h27cfd23_1003\n",
            "    conda-package-handling: 1.7.3-py37h27cfd23_1   \n",
            "    ld_impl_linux-64:       2.33.1-h53a641e_7      \n",
            "    tqdm:                   4.59.0-pyhd3eb1b0_1    \n",
            "\n",
            "The following packages will be UPDATED:\n",
            "\n",
            "    ca-certificates:        2018.03.07-0            --> 2021.4.13-h06a4308_1    \n",
            "    certifi:                2018.4.16-py36_0        --> 2020.12.5-py37h06a4308_0\n",
            "    cffi:                   1.11.5-py36h9745a5d_0   --> 1.14.5-py37h261ae71_0   \n",
            "    chardet:                3.0.4-py36h0f667ec_1    --> 4.0.0-py37h06a4308_1003 \n",
            "    conda:                  4.5.4-py36_0            --> 4.10.1-py37h06a4308_1   \n",
            "    cryptography:           2.2.2-py36h14c3975_0    --> 3.4.7-py37hd23ed53_0    \n",
            "    idna:                   2.6-py36h82fb2a8_1      --> 2.10-pyhd3eb1b0_0       \n",
            "    libffi:                 3.2.1-hd88cf55_4        --> 3.3-he6710b0_2          \n",
            "    libgcc-ng:              7.2.0-hdf63c60_3        --> 9.1.0-hdf63c60_0        \n",
            "    libstdcxx-ng:           7.2.0-hdf63c60_3        --> 9.1.0-hdf63c60_0        \n",
            "    ncurses:                6.1-hf484d3e_0          --> 6.2-he6710b0_1          \n",
            "    openssl:                1.0.2o-h20670df_0       --> 1.1.1k-h27cfd23_0       \n",
            "    pip:                    10.0.1-py36_0           --> 21.1.1-py37h06a4308_0   \n",
            "    pycosat:                0.6.3-py36h0a5515d_0    --> 0.6.3-py37h27cfd23_0    \n",
            "    pycparser:              2.18-py36hf9f622e_1     --> 2.20-py_2               \n",
            "    pyopenssl:              18.0.0-py36_0           --> 20.0.1-pyhd3eb1b0_1     \n",
            "    pysocks:                1.6.8-py36_0            --> 1.7.1-py37_1            \n",
            "    python:                 3.6.5-hc3d631a_2        --> 3.7.10-hdb3f193_0       \n",
            "    readline:               7.0-ha6073c6_4          --> 8.1-h27cfd23_0          \n",
            "    requests:               2.18.4-py36he2e5f8d_1   --> 2.25.1-pyhd3eb1b0_0     \n",
            "    ruamel_yaml:            0.15.37-py36h14c3975_2  --> 0.15.100-py37h27cfd23_0 \n",
            "    setuptools:             39.2.0-py36_0           --> 52.0.0-py37h06a4308_0   \n",
            "    six:                    1.11.0-py36h372c433_1   --> 1.15.0-pyhd3eb1b0_0     \n",
            "    sqlite:                 3.23.1-he433501_0       --> 3.35.4-hdfb4753_0       \n",
            "    tk:                     8.6.7-hc745277_3        --> 8.6.10-hbc83047_0       \n",
            "    urllib3:                1.22-py36hbe7ace6_0     --> 1.26.4-pyhd3eb1b0_0     \n",
            "    wheel:                  0.31.1-py36_0           --> 0.36.2-pyhd3eb1b0_0     \n",
            "    xz:                     5.2.4-h14c3975_4        --> 5.2.5-h7b6447c_0        \n",
            "    yaml:                   0.1.7-had09818_2        --> 0.2.5-h7b6447c_0        \n",
            "    zlib:                   1.2.11-ha838bed_2       --> 1.2.11-h7b6447c_3       \n",
            "\n",
            "\n",
            "Downloading and Extracting Packages\n",
            "Preparing transaction: ...working... done\n",
            "Verifying transaction: ...working... done\n",
            "Executing transaction: ...working... done\n",
            "Collecting package metadata (current_repodata.json): ...working... done\n",
            "Solving environment: ...working... done\n",
            "\n",
            "## Package Plan ##\n",
            "\n",
            "  environment location: /usr/local\n",
            "\n",
            "\n",
            "The following packages will be downloaded:\n",
            "\n",
            "    package                    |            build\n",
            "    ---------------------------|-----------------\n",
            "    six-1.15.0                 |   py37h06a4308_0          27 KB\n",
            "    ------------------------------------------------------------\n",
            "                                           Total:          27 KB\n",
            "\n",
            "The following packages will be SUPERSEDED by a higher-priority channel:\n",
            "\n",
            "  six                pkgs/main/noarch::six-1.15.0-pyhd3eb1~ --> pkgs/main/linux-64::six-1.15.0-py37h06a4308_0\n",
            "\n",
            "\n",
            "\n",
            "Downloading and Extracting Packages\n",
            "\rsix-1.15.0           | 27 KB     |            |   0% \rsix-1.15.0           | 27 KB     | ########## | 100% \n",
            "Preparing transaction: ...working... done\n",
            "Verifying transaction: ...working... done\n",
            "Executing transaction: ...working... done\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "--2021-05-25 15:40:14--  https://repo.continuum.io/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh\n",
            "Resolving repo.continuum.io (repo.continuum.io)... 104.18.201.79, 104.18.200.79, 2606:4700::6812:c84f, ...\n",
            "Connecting to repo.continuum.io (repo.continuum.io)|104.18.201.79|:443... connected.\n",
            "HTTP request sent, awaiting response... 301 Moved Permanently\n",
            "Location: https://repo.anaconda.com/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh [following]\n",
            "--2021-05-25 15:40:14--  https://repo.anaconda.com/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh\n",
            "Resolving repo.anaconda.com (repo.anaconda.com)... 104.16.130.3, 104.16.131.3, 2606:4700::6810:8203, ...\n",
            "Connecting to repo.anaconda.com (repo.anaconda.com)|104.16.130.3|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 58468498 (56M) [application/x-sh]\n",
            "Saving to: ‘Miniconda3-4.5.4-Linux-x86_64.sh’\n",
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            "  3850K .......... .......... .......... .......... ..........  6% 45.9M 1s\n",
            "  3900K .......... .......... .......... .......... ..........  6% 79.8M 1s\n",
            "  3950K .......... .......... .......... .......... ..........  7% 28.8M 1s\n",
            "  4000K .......... .......... .......... .......... ..........  7% 59.3M 1s\n",
            "  4050K .......... .......... .......... .......... ..........  7% 33.5M 1s\n",
            "  4100K .......... .......... .......... .......... ..........  7% 63.4M 1s\n",
            "  4150K .......... .......... .......... .......... ..........  7% 81.1M 1s\n",
            "  4200K .......... .......... .......... .......... ..........  7%  132M 1s\n",
            "  4250K .......... .......... .......... .......... ..........  7% 82.3M 1s\n",
            "  4300K .......... .......... .......... .......... ..........  7% 85.9M 1s\n",
            "  4350K .......... .......... .......... .......... ..........  7%  109M 1s\n",
            "  4400K .......... .......... .......... .......... ..........  7% 82.1M 1s\n",
            "  4450K .......... .......... .......... .......... ..........  7% 80.9M 1s\n",
            "  4500K .......... .......... .......... .......... ..........  7%  134M 1s\n",
            "  4550K .......... .......... .......... .......... ..........  8% 68.8M 1s\n",
            "  4600K .......... .......... .......... .......... ..........  8% 80.0M 1s\n",
            "  4650K .......... .......... .......... .......... ..........  8%  132M 1s\n",
            "  4700K .......... .......... .......... .......... ..........  8% 82.4M 1s\n",
            "  4750K .......... .......... .......... .......... ..........  8% 72.5M 1s\n",
            "  4800K .......... .......... .......... .......... ..........  8%  135M 1s\n",
            "  4850K .......... .......... .......... .......... ..........  8% 70.0M 1s\n",
            "  4900K .......... .......... .......... .......... ..........  8% 81.3M 1s\n",
            "  4950K .......... .......... .......... .......... ..........  8% 66.0M 1s\n",
            "  5000K .......... .......... .......... .......... ..........  8%  112M 1s\n",
            "  5050K .......... .......... .......... .......... ..........  8% 88.5M 1s\n",
            "  5100K .......... .......... .......... .......... ..........  9% 88.1M 1s\n",
            "  5150K .......... .......... .......... .......... ..........  9% 85.2M 1s\n",
            "  5200K .......... .......... .......... .......... ..........  9%  136M 1s\n",
            "  5250K .......... .......... .......... .......... ..........  9%  134M 1s\n",
            "  5300K .......... .......... .......... .......... ..........  9% 62.3M 1s\n",
            "  5350K .......... .......... .......... .......... ..........  9% 79.2M 1s\n",
            "  5400K .......... .......... .......... .......... ..........  9% 76.1M 1s\n",
            "  5450K .......... .......... .......... .......... ..........  9% 81.7M 1s\n",
            "  5500K .......... .......... .......... .......... ..........  9%  131M 1s\n",
            "  5550K .......... .......... .......... .......... ..........  9% 65.2M 1s\n",
            "  5600K .......... .......... .......... .......... ..........  9%  105M 1s\n",
            "  5650K .......... .......... .......... .......... ..........  9% 90.7M 1s\n",
            "  5700K .......... .......... .......... .......... .......... 10% 83.8M 1s\n",
            "  5750K .......... .......... .......... .......... .......... 10%  113M 1s\n",
            "  5800K .......... .......... .......... .......... .......... 10%  127M 1s\n",
            "  5850K .......... .......... .......... .......... .......... 10%  124M 1s\n",
            "  5900K .......... .......... .......... .......... .......... 10% 50.9M 1s\n",
            "  5950K .......... .......... .......... .......... .......... 10% 67.5M 1s\n",
            "  6000K .......... .......... .......... .......... .......... 10% 79.7M 1s\n",
            "  6050K .......... .......... .......... .......... .......... 10%  128M 1s\n",
            "  6100K .......... .......... .......... .......... .......... 10%  126M 1s\n",
            "  6150K .......... .......... .......... .......... .......... 10% 63.8M 1s\n",
            "  6200K .......... .......... .......... .......... .......... 10%  138M 1s\n",
            "  6250K .......... .......... .......... .......... .......... 11% 80.1M 1s\n",
            "  6300K .......... .......... .......... .......... .......... 11% 86.0M 1s\n",
            "  6350K .......... .......... .......... .......... .......... 11%  110M 1s\n",
            "  6400K .......... .......... .......... .......... .......... 11%  136M 1s\n",
            "  6450K .......... .......... .......... .......... .......... 11% 75.0M 1s\n",
            "  6500K .......... .......... .......... .......... .......... 11%  129M 1s\n",
            "  6550K .......... .......... .......... .......... .......... 11% 58.5M 1s\n",
            "  6600K .......... .......... .......... .......... .......... 11% 73.7M 1s\n",
            "  6650K .......... .......... .......... .......... .......... 11%  125M 1s\n",
            "  6700K .......... .......... .......... .......... .......... 11%  235M 1s\n",
            "  6750K .......... .......... .......... .......... .......... 11% 84.1M 1s\n",
            "  6800K .......... .......... .......... .......... .......... 11%  139M 1s\n",
            "  6850K .......... .......... .......... .......... .......... 12%  129M 1s\n",
            "  6900K .......... .......... .......... .......... .......... 12% 71.0M 1s\n",
            "  6950K .......... .......... .......... .......... .......... 12% 80.7M 1s\n",
            "  7000K .......... .......... .......... .......... .......... 12%  137M 1s\n",
            "  7050K .......... .......... .......... .......... .......... 12%  121M 1s\n",
            "  7100K .......... .......... .......... .......... .......... 12% 53.6M 1s\n",
            "  7150K .......... .......... .......... .......... .......... 12% 57.0M 1s\n",
            "  7200K .......... .......... .......... .......... .......... 12%  136M 1s\n",
            "  7250K .......... .......... .......... .......... .......... 12%  125M 1s\n",
            "  7300K .......... .......... .......... .......... .......... 12%  136M 1s\n",
            "  7350K .......... .......... .......... .......... .......... 12% 74.3M 1s\n",
            "  7400K .......... .......... .......... .......... .......... 13% 77.5M 1s\n",
            "  7450K .......... .......... .......... .......... .......... 13% 85.4M 1s\n",
            "  7500K .......... .......... .......... .......... .......... 13%  129M 1s\n",
            "  7550K .......... .......... .......... .......... .......... 13%  111M 1s\n",
            "  7600K .......... .......... .......... .......... .......... 13%  136M 1s\n",
            "  7650K .......... .......... .......... .......... .......... 13%  134M 1s\n",
            "  7700K .......... .......... .......... .......... .......... 13% 52.7M 1s\n",
            "  7750K .......... .......... .......... .......... .......... 13% 70.3M 1s\n",
            "  7800K .......... .......... .......... .......... .......... 13%  136M 1s\n",
            "  7850K .......... .......... .......... .......... .......... 13%  139M 1s\n",
            "  7900K .......... .......... .......... .......... .......... 13%  120M 1s\n",
            "  7950K .......... .......... .......... .......... .......... 14%  103M 1s\n",
            "  8000K .......... .......... .......... .......... .......... 14% 52.8M 1s\n",
            "  8050K .......... .......... .......... .......... .......... 14% 49.3M 1s\n",
            "  8100K .......... .......... .......... .......... .......... 14%  123M 1s\n",
            "  8150K .......... .......... .......... .......... .......... 14%  109M 1s\n",
            "  8200K .......... .......... .......... .......... .......... 14%  136M 1s\n",
            "  8250K .......... .......... .......... .......... .......... 14% 72.7M 1s\n",
            "  8300K .......... .......... .......... .......... .......... 14% 68.5M 1s\n",
            "  8350K .......... .......... .......... .......... .......... 14% 70.3M 1s\n",
            "  8400K .......... .......... .......... .......... .......... 14%  131M 1s\n",
            "  8450K .......... .......... .......... .......... .......... 14%  137M 1s\n",
            "  8500K .......... .......... .......... .......... .......... 14%  133M 1s\n",
            "  8550K .......... .......... .......... .......... .......... 15% 61.2M 1s\n",
            "  8600K .......... .......... .......... .......... .......... 15% 62.2M 1s\n",
            "  8650K .......... .......... .......... .......... .......... 15% 91.1M 1s\n",
            "  8700K .......... .......... .......... .......... .......... 15%  133M 1s\n",
            "  8750K .......... .......... .......... .......... .......... 15%  110M 1s\n",
            "  8800K .......... .......... .......... .......... .......... 15% 75.7M 1s\n",
            "  8850K .......... .......... .......... .......... .......... 15% 66.1M 1s\n",
            "  8900K .......... .......... .......... .......... .......... 15% 83.3M 1s\n",
            "  8950K .......... .......... .......... .......... .......... 15% 82.8M 1s\n",
            "  9000K .......... .......... .......... .......... .......... 15%  124M 1s\n",
            "  9050K .......... .......... .......... .......... .......... 15%  130M 1s\n",
            "  9100K .......... .......... .......... .......... .......... 16% 95.3M 1s\n",
            "  9150K .......... .......... .......... .......... .......... 16% 89.2M 1s\n",
            "  9200K .......... .......... .......... .......... .......... 16% 93.5M 1s\n",
            "  9250K .......... .......... .......... .......... .......... 16%  128M 1s\n",
            "  9300K .......... .......... .......... .......... .......... 16% 92.9M 1s\n",
            "  9350K .......... .......... .......... .......... .......... 16%  227M 1s\n",
            "  9400K .......... .......... .......... .......... .......... 16%  247M 1s\n",
            "  9450K .......... .......... .......... .......... .......... 16%  247M 1s\n",
            "  9500K .......... .......... .......... .......... .......... 16% 70.2M 1s\n",
            "  9550K .......... .......... .......... .......... .......... 16% 55.5M 1s\n",
            "  9600K .......... .......... .......... .......... .......... 16%  141M 1s\n",
            "  9650K .......... .......... .......... .......... .......... 16% 91.1M 1s\n",
            "  9700K .......... .......... .......... .......... .......... 17%  135M 1s\n",
            "  9750K .......... .......... .......... .......... .......... 17%  109M 1s\n",
            "  9800K .......... .......... .......... .......... .......... 17% 65.8M 1s\n",
            "  9850K .......... .......... .......... .......... .......... 17% 51.5M 1s\n",
            "  9900K .......... .......... .......... .......... .......... 17% 83.9M 1s\n",
            "  9950K .......... .......... .......... .......... .......... 17%  111M 1s\n",
            " 10000K .......... .......... .......... .......... .......... 17%  122M 1s\n",
            " 10050K .......... .......... .......... .......... .......... 17%  112M 1s\n",
            " 10100K .......... .......... .......... .......... .......... 17% 51.4M 1s\n",
            " 10150K .......... .......... .......... .......... .......... 17% 74.4M 1s\n",
            " 10200K .......... .......... .......... .......... .......... 17%  133M 1s\n",
            " 10250K .......... .......... .......... .......... .......... 18%  127M 1s\n",
            " 10300K .......... .......... .......... .......... .......... 18% 82.2M 1s\n",
            " 10350K .......... .......... .......... .......... .......... 18% 44.2M 1s\n",
            " 10400K .......... .......... .......... .......... .......... 18% 50.3M 1s\n",
            " 10450K .......... .......... .......... .......... .......... 18%  138M 1s\n",
            " 10500K .......... .......... .......... .......... .......... 18%  149M 1s\n",
            " 10550K .......... .......... .......... .......... .......... 18%  108M 1s\n",
            " 10600K .......... .......... .......... .......... .......... 18% 40.0M 1s\n",
            " 10650K .......... .......... .......... .......... .......... 18%  132M 1s\n",
            " 10700K .......... .......... .......... .......... .......... 18% 60.4M 1s\n",
            " 10750K .......... .......... .......... .......... .......... 18% 95.1M 1s\n",
            " 10800K .......... .......... .......... .......... .......... 19% 46.1M 1s\n",
            " 10850K .......... .......... .......... .......... .......... 19% 56.8M 1s\n",
            " 10900K .......... .......... .......... .......... .......... 19%  134M 1s\n",
            " 10950K .......... .......... .......... .......... .......... 19% 47.7M 1s\n",
            " 11000K .......... .......... .......... .......... .......... 19% 21.9M 1s\n",
            " 11050K .......... .......... .......... .......... .......... 19% 45.1M 1s\n",
            " 11100K .......... .......... .......... .......... .......... 19%  124M 1s\n",
            " 11150K .......... .......... .......... .......... .......... 19% 76.6M 1s\n",
            " 11200K .......... .......... .......... .......... .......... 19%  100M 1s\n",
            " 11250K .......... .......... .......... .......... .......... 19%  120M 1s\n",
            " 11300K .......... .......... .......... .......... .......... 19%  123M 1s\n",
            " 11350K .......... .......... .......... .......... .......... 19% 70.0M 1s\n",
            " 11400K .......... .......... .......... .......... .......... 20%  134M 1s\n",
            " 11450K .......... .......... .......... .......... .......... 20%  122M 1s\n",
            " 11500K .......... .......... .......... .......... .......... 20% 73.4M 1s\n",
            " 11550K .......... .......... .......... .......... .......... 20% 77.1M 1s\n",
            " 11600K .......... .......... .......... .......... .......... 20%  138M 1s\n",
            " 11650K .......... .......... .......... .......... .......... 20% 66.7M 1s\n",
            " 11700K .......... .......... .......... .......... .......... 20%  102M 1s\n",
            " 11750K .......... .......... .......... .......... .......... 20%  119M 1s\n",
            " 11800K .......... .......... .......... .......... .......... 20% 50.4M 1s\n",
            " 11850K .......... .......... .......... .......... .......... 20%  133M 1s\n",
            " 11900K .......... .......... .......... .......... .......... 20%  128M 1s\n",
            " 11950K .......... .......... .......... .......... .......... 21% 61.4M 1s\n",
            " 12000K .......... .......... .......... .......... .......... 21%  133M 1s\n",
            " 12050K .......... .......... .......... .......... .......... 21% 83.1M 1s\n",
            " 12100K .......... .......... .......... .......... .......... 21% 79.9M 1s\n",
            " 12150K .......... .......... .......... .......... .......... 21%  114M 1s\n",
            " 12200K .......... .......... .......... .......... .......... 21%  132M 1s\n",
            " 12250K .......... .......... .......... .......... .......... 21% 64.4M 1s\n",
            " 12300K .......... .......... .......... .......... .......... 21%  130M 1s\n",
            " 12350K .......... .......... .......... .......... .......... 21% 58.5M 1s\n",
            " 12400K .......... .......... .......... .......... .......... 21% 88.0M 1s\n",
            " 12450K .......... .......... .......... .......... .......... 21%  134M 1s\n",
            " 12500K .......... .......... .......... .......... .......... 21%  135M 1s\n",
            " 12550K .......... .......... .......... .......... .......... 22% 52.0M 1s\n",
            " 12600K .......... .......... .......... .......... .......... 22% 59.4M 1s\n",
            " 12650K .......... .......... .......... .......... .......... 22% 91.5M 1s\n",
            " 12700K .......... .......... .......... .......... .......... 22%  128M 1s\n",
            " 12750K .......... .......... .......... .......... .......... 22%  113M 1s\n",
            " 12800K .......... .......... .......... .......... .......... 22% 60.5M 1s\n",
            " 12850K .......... .......... .......... .......... .......... 22%  128M 1s\n",
            " 12900K .......... .......... .......... .......... .......... 22% 80.2M 1s\n",
            " 12950K .......... .......... .......... .......... .......... 22% 83.8M 1s\n",
            " 13000K .......... .......... .......... .......... .......... 22%  139M 1s\n",
            " 13050K .......... .......... .......... .......... .......... 22%  134M 1s\n",
            " 13100K .......... .......... .......... .......... .......... 23% 63.5M 1s\n",
            " 13150K .......... .......... .......... .......... .......... 23% 83.8M 1s\n",
            " 13200K .......... .......... .......... .......... .......... 23% 88.4M 1s\n",
            " 13250K .......... .......... .......... .......... .......... 23% 90.6M 1s\n",
            " 13300K .......... .......... .......... .......... .......... 23%  138M 1s\n",
            " 13350K .......... .......... .......... .......... .......... 23%  117M 1s\n",
            " 13400K .......... .......... .......... .......... .......... 23% 64.6M 1s\n",
            " 13450K .......... .......... .......... .......... .......... 23%  134M 1s\n",
            " 13500K .......... .......... .......... .......... .......... 23% 59.1M 1s\n",
            " 13550K .......... .......... .......... .......... .......... 23% 68.8M 1s\n",
            " 13600K .......... .......... .......... .......... .......... 23%  130M 1s\n",
            " 13650K .......... .......... .......... .......... .......... 23% 97.2M 1s\n",
            " 13700K .......... .......... .......... .......... .......... 24% 94.1M 1s\n",
            " 13750K .......... .......... .......... .......... .......... 24% 72.4M 1s\n",
            " 13800K .......... .......... .......... .......... .......... 24% 77.2M 1s\n",
            " 13850K .......... .......... .......... .......... .......... 24%  137M 1s\n",
            " 13900K .......... .......... .......... .......... .......... 24% 89.7M 1s\n",
            " 13950K .......... .......... .......... .......... .......... 24% 71.3M 1s\n",
            " 14000K .......... .......... .......... .......... .......... 24%  137M 1s\n",
            " 14050K .......... .......... .......... .......... .......... 24% 67.2M 1s\n",
            " 14100K .......... .......... .......... .......... .......... 24%  137M 1s\n",
            " 14150K .......... .......... .......... .......... .......... 24%  107M 1s\n",
            " 14200K .......... .......... .......... .......... .......... 24% 62.0M 1s\n",
            " 14250K .......... .......... .......... .......... .......... 25% 72.1M 1s\n",
            " 14300K .......... .......... .......... .......... .......... 25%  131M 1s\n",
            " 14350K .......... .......... .......... .......... .......... 25% 72.8M 1s\n",
            " 14400K .......... .......... .......... .......... .......... 25%  129M 1s\n",
            " 14450K .......... .......... .......... .......... .......... 25%  129M 1s\n",
            " 14500K .......... .......... .......... .......... .......... 25% 61.4M 1s\n",
            " 14550K .......... .......... .......... .......... .......... 25% 79.0M 1s\n",
            " 14600K .......... .......... .......... .......... .......... 25%  129M 1s\n",
            " 14650K .......... .......... .......... .......... .......... 25% 75.5M 1s\n",
            " 14700K .......... .......... .......... .......... .......... 25%  131M 1s\n",
            " 14750K .......... .......... .......... .......... .......... 25% 59.2M 1s\n",
            " 14800K .......... .......... .......... .......... .......... 26% 68.8M 1s\n",
            " 14850K .......... .......... .......... .......... .......... 26%  135M 1s\n",
            " 14900K .......... .......... .......... .......... .......... 26%  134M 1s\n",
            " 14950K .......... .......... .......... .......... .......... 26% 81.2M 1s\n",
            " 15000K .......... .......... .......... .......... .......... 26%  137M 1s\n",
            " 15050K .......... .......... .......... .......... .......... 26% 66.9M 1s\n",
            " 15100K .......... .......... .......... .......... .......... 26% 93.2M 1s\n",
            " 15150K .......... .......... .......... .......... .......... 26%  118M 1s\n",
            " 15200K .......... .......... .......... .......... .......... 26%  126M 1s\n",
            " 15250K .......... .......... .......... .......... .......... 26% 66.9M 1s\n",
            " 15300K .......... .......... .......... .......... .......... 26%  103M 1s\n",
            " 15350K .......... .......... .......... .......... .......... 26% 55.2M 1s\n",
            " 15400K .......... .......... .......... .......... .......... 27% 86.2M 1s\n",
            " 15450K .......... .......... .......... .......... .......... 27%  131M 1s\n",
            " 15500K .......... .......... .......... .......... .......... 27%  113M 1s\n",
            " 15550K .......... .......... .......... .......... .......... 27% 57.7M 1s\n",
            " 15600K .......... .......... .......... .......... .......... 27% 88.1M 1s\n",
            " 15650K .......... .......... .......... .......... .......... 27% 77.5M 1s\n",
            " 15700K .......... .......... .......... .......... .......... 27% 96.0M 1s\n",
            " 15750K .......... .......... .......... .......... .......... 27% 74.8M 1s\n",
            " 15800K .......... .......... .......... .......... .......... 27% 83.0M 1s\n",
            " 15850K .......... .......... .......... .......... .......... 27% 88.3M 0s\n",
            " 15900K .......... .......... .......... .......... .......... 27%  126M 0s\n",
            " 15950K .......... .......... .......... .......... .......... 28% 70.6M 0s\n",
            " 16000K .......... .......... .......... .......... .......... 28%  129M 0s\n",
            " 16050K .......... .......... .......... .......... .......... 28% 89.2M 0s\n",
            " 16100K .......... .......... .......... .......... .......... 28% 86.0M 0s\n",
            " 16150K .......... .......... .......... .......... .......... 28% 75.5M 0s\n",
            " 16200K .......... .......... .......... .......... .......... 28%  141M 0s\n",
            " 16250K .......... .......... .......... .......... .......... 28% 79.3M 0s\n",
            " 16300K .......... .......... .......... .......... .......... 28%  127M 0s\n",
            " 16350K .......... .......... .......... .......... .......... 28% 54.8M 0s\n",
            " 16400K .......... .......... .......... .......... .......... 28% 68.9M 0s\n",
            " 16450K .......... .......... .......... .......... .......... 28% 85.1M 0s\n",
            " 16500K .......... .......... .......... .......... .......... 28%  136M 0s\n",
            " 16550K .......... .......... .......... .......... .......... 29%  110M 0s\n",
            " 16600K .......... .......... .......... .......... .......... 29% 73.4M 0s\n",
            " 16650K .......... .......... .......... .......... .......... 29% 89.4M 0s\n",
            " 16700K .......... .......... .......... .......... .......... 29%  134M 0s\n",
            " 16750K .......... .......... .......... .......... .......... 29% 61.6M 0s\n",
            " 16800K .......... .......... .......... .......... .......... 29%  130M 0s\n",
            " 16850K .......... .......... .......... .......... .......... 29%  124M 0s\n",
            " 16900K .......... .......... .......... .......... .......... 29% 58.8M 0s\n",
            " 16950K .......... .......... .......... .......... .......... 29% 76.8M 0s\n",
            " 17000K .......... .......... .......... .......... .......... 29%  138M 0s\n",
            " 17050K .......... .......... .......... .......... .......... 29% 66.3M 0s\n",
            " 17100K .......... .......... .......... .......... .......... 30%  115M 0s\n",
            " 17150K .......... .......... .......... .......... .......... 30%  110M 0s\n",
            " 17200K .......... .......... .......... .......... .......... 30% 62.5M 0s\n",
            " 17250K .......... .......... .......... .......... .......... 30% 80.6M 0s\n",
            " 17300K .......... .......... .......... .......... .......... 30%  114M 0s\n",
            " 17350K .......... .......... .......... .......... .......... 30% 58.8M 0s\n",
            " 17400K .......... .......... .......... .......... .......... 30%  129M 0s\n",
            " 17450K .......... .......... .......... .......... .......... 30% 81.1M 0s\n",
            " 17500K .......... .......... .......... .......... .......... 30%  131M 0s\n",
            " 17550K .......... .......... .......... .......... .......... 30% 51.5M 0s\n",
            " 17600K .......... .......... .......... .......... .......... 30% 82.9M 0s\n",
            " 17650K .......... .......... .......... .......... .......... 30%  131M 0s\n",
            " 17700K .......... .......... .......... .......... .......... 31% 95.9M 0s\n",
            " 17750K .......... .......... .......... .......... .......... 31% 67.2M 0s\n",
            " 17800K .......... .......... .......... .......... .......... 31% 80.8M 0s\n",
            " 17850K .......... .......... .......... .......... .......... 31% 82.9M 0s\n",
            " 17900K .......... .......... .......... .......... .......... 31%  130M 0s\n",
            " 17950K .......... .......... .......... .......... .......... 31%  100M 0s\n",
            " 18000K .......... .......... .......... .......... .......... 31% 63.4M 0s\n",
            " 18050K .......... .......... .......... .......... .......... 31% 76.3M 0s\n",
            " 18100K .......... .......... .......... .......... .......... 31% 73.6M 0s\n",
            " 18150K .......... .......... .......... .......... .......... 31%  119M 0s\n",
            " 18200K .......... .......... .......... .......... .......... 31%  125M 0s\n",
            " 18250K .......... .......... .......... .......... .......... 32%  136M 0s\n",
            " 18300K .......... .......... .......... .......... .......... 32% 59.6M 0s\n",
            " 18350K .......... .......... .......... .......... .......... 32% 75.2M 0s\n",
            " 18400K .......... .......... .......... .......... .......... 32% 79.9M 0s\n",
            " 18450K .......... .......... .......... .......... .......... 32%  134M 0s\n",
            " 18500K .......... .......... .......... .......... .......... 32%  133M 0s\n",
            " 18550K .......... .......... .......... .......... .......... 32% 56.1M 0s\n",
            " 18600K .......... .......... .......... .......... .......... 32% 80.0M 0s\n",
            " 18650K .......... .......... .......... .......... .......... 32%  129M 0s\n",
            " 18700K .......... .......... .......... .......... .......... 32% 79.8M 0s\n",
            " 18750K .......... .......... .......... .......... .......... 32% 76.0M 0s\n",
            " 18800K .......... .......... .......... .......... .......... 33% 62.8M 0s\n",
            " 18850K .......... .......... .......... .......... .......... 33%  138M 0s\n",
            " 18900K .......... .......... .......... .......... .......... 33%  128M 0s\n",
            " 18950K .......... .......... .......... .......... .......... 33%  120M 0s\n",
            " 19000K .......... .......... .......... .......... .......... 33% 62.3M 0s\n",
            " 19050K .......... .......... .......... .......... .......... 33%  137M 0s\n",
            " 19100K .......... .......... .......... .......... .......... 33%  121M 0s\n",
            " 19150K .......... .......... .......... .......... .......... 33% 61.0M 0s\n",
            " 19200K .......... .......... .......... .......... .......... 33%  127M 0s\n",
            " 19250K .......... .......... .......... .......... .......... 33%  140M 0s\n",
            " 19300K .......... .......... .......... .......... .......... 33% 68.4M 0s\n",
            " 19350K .......... .......... .......... .......... .......... 33% 64.7M 0s\n",
            " 19400K .......... .......... .......... .......... .......... 34% 67.7M 0s\n",
            " 19450K .......... .......... .......... .......... .......... 34%  138M 0s\n",
            " 19500K .......... .......... .......... .......... .......... 34%  142M 0s\n",
            " 19550K .......... .......... .......... .......... .......... 34% 84.1M 0s\n",
            " 19600K .......... .......... .......... .......... .......... 34% 62.4M 0s\n",
            " 19650K .......... .......... .......... .......... .......... 34% 87.0M 0s\n",
            " 19700K .......... .......... .......... .......... .......... 34% 57.1M 0s\n",
            " 19750K .......... .......... .......... .......... .......... 34%  116M 0s\n",
            " 19800K .......... .......... .......... .......... .......... 34%  129M 0s\n",
            " 19850K .......... .......... .......... .......... .......... 34% 57.1M 0s\n",
            " 19900K .......... .......... .......... .......... .......... 34% 83.8M 0s\n",
            " 19950K .......... .......... .......... .......... .......... 35% 75.4M 0s\n",
            " 20000K .......... .......... .......... .......... .......... 35%  128M 0s\n",
            " 20050K .......... .......... .......... .......... .......... 35%  132M 0s\n",
            " 20100K .......... .......... .......... .......... .......... 35% 82.1M 0s\n",
            " 20150K .......... .......... .......... .......... .......... 35% 73.2M 0s\n",
            " 20200K .......... .......... .......... .......... .......... 35% 74.4M 0s\n",
            " 20250K .......... .......... .......... .......... .......... 35% 92.4M 0s\n",
            " 20300K .......... .......... .......... .......... .......... 35%  141M 0s\n",
            " 20350K .......... .......... .......... .......... .......... 35%  101M 0s\n",
            " 20400K .......... .......... .......... .......... .......... 35% 68.5M 0s\n",
            " 20450K .......... .......... .......... .......... .......... 35% 94.5M 0s\n",
            " 20500K .......... .......... .......... .......... .......... 35% 86.2M 0s\n",
            " 20550K .......... .......... .......... .......... .......... 36% 83.0M 0s\n",
            " 20600K .......... .......... .......... .......... .......... 36%  113M 0s\n",
            " 20650K .......... .......... .......... .......... .......... 36%  135M 0s\n",
            " 20700K .......... .......... .......... .......... .......... 36% 62.2M 0s\n",
            " 20750K .......... .......... .......... .......... .......... 36% 69.5M 0s\n",
            " 20800K .......... .......... .......... .......... .......... 36% 84.3M 0s\n",
            " 20850K .......... .......... .......... .......... .......... 36% 88.3M 0s\n",
            " 20900K .......... .......... .......... .......... .......... 36%  129M 0s\n",
            " 20950K .......... .......... .......... .......... .......... 36% 80.8M 0s\n",
            " 21000K .......... .......... .......... .......... .......... 36% 93.7M 0s\n",
            " 21050K .......... .......... .......... .......... .......... 36% 90.3M 0s\n",
            " 21100K .......... .......... .......... .......... .......... 37% 82.1M 0s\n",
            " 21150K .......... .......... .......... .......... .......... 37% 75.5M 0s\n",
            " 21200K .......... .......... .......... .......... .......... 37%  127M 0s\n",
            " 21250K .......... .......... .......... .......... .......... 37% 84.8M 0s\n",
            " 21300K .......... .......... .......... .......... .......... 37% 80.0M 0s\n",
            " 21350K .......... .......... .......... .......... .......... 37%  116M 0s\n",
            " 21400K .......... .......... .......... .......... .......... 37% 70.0M 0s\n",
            " 21450K .......... .......... .......... .......... .......... 37%  113M 0s\n",
            " 21500K .......... .......... .......... .......... .......... 37% 57.6M 0s\n",
            " 21550K .......... .......... .......... .......... .......... 37%  105M 0s\n",
            " 21600K .......... .......... .......... .......... .......... 37%  120M 0s\n",
            " 21650K .......... .......... .......... .......... .......... 38%  127M 0s\n",
            " 21700K .......... .......... .......... .......... .......... 38% 65.9M 0s\n",
            " 21750K .......... .......... .......... .......... .......... 38% 62.5M 0s\n",
            " 21800K .......... .......... .......... .......... .......... 38% 77.7M 0s\n",
            " 21850K .......... .......... .......... .......... .......... 38%  132M 0s\n",
            " 21900K .......... .......... .......... .......... .......... 38%  133M 0s\n",
            " 21950K .......... .......... .......... .......... .......... 38% 97.3M 0s\n",
            " 22000K .......... .......... .......... .......... .......... 38% 77.1M 0s\n",
            " 22050K .......... .......... .......... .......... .......... 38%  130M 0s\n",
            " 22100K .......... .......... .......... .......... .......... 38% 59.8M 0s\n",
            " 22150K .......... .......... .......... .......... .......... 38% 68.6M 0s\n",
            " 22200K .......... .......... .......... .......... .......... 38%  134M 0s\n",
            " 22250K .......... .......... .......... .......... .......... 39% 62.6M 0s\n",
            " 22300K .......... .......... .......... .......... .......... 39% 83.0M 0s\n",
            " 22350K .......... .......... .......... .......... .......... 39% 74.9M 0s\n",
            " 22400K .......... .......... .......... .......... .......... 39% 82.7M 0s\n",
            " 22450K .......... .......... .......... .......... .......... 39%  128M 0s\n",
            " 22500K .......... .......... .......... .......... .......... 39% 86.9M 0s\n",
            " 22550K .......... .......... .......... .......... .......... 39% 79.2M 0s\n",
            " 22600K .......... .......... .......... .......... .......... 39% 90.6M 0s\n",
            " 22650K .......... .......... .......... .......... .......... 39%  126M 0s\n",
            " 22700K .......... .......... .......... .......... .......... 39% 81.6M 0s\n",
            " 22750K .......... .......... .......... .......... .......... 39%  101M 0s\n",
            " 22800K .......... .......... .......... .......... .......... 40%  131M 0s\n",
            " 22850K .......... .......... .......... .......... .......... 40% 57.4M 0s\n",
            " 22900K .......... .......... .......... .......... .......... 40% 58.8M 0s\n",
            " 22950K .......... .......... .......... .......... .......... 40% 56.2M 0s\n",
            " 23000K .......... .......... .......... .......... .......... 40%  129M 0s\n",
            " 23050K .......... .......... .......... .......... .......... 40% 76.7M 0s\n",
            " 23100K .......... .......... .......... .......... .......... 40% 85.5M 0s\n",
            " 23150K .......... .......... .......... .......... .......... 40% 74.9M 0s\n",
            " 23200K .......... .......... .......... .......... .......... 40% 87.7M 0s\n",
            " 23250K .......... .......... .......... .......... .......... 40%  128M 0s\n",
            " 23300K .......... .......... .......... .......... .......... 40%  129M 0s\n",
            " 23350K .......... .......... .......... .......... .......... 40% 58.7M 0s\n",
            " 23400K .......... .......... .......... .......... .......... 41%  137M 0s\n",
            " 23450K .......... .......... .......... .......... .......... 41% 71.1M 0s\n",
            " 23500K .......... .......... .......... .......... .......... 41% 85.7M 0s\n",
            " 23550K .......... .......... .......... .......... .......... 41%  106M 0s\n",
            " 23600K .......... .......... .......... .......... .......... 41%  139M 0s\n",
            " 23650K .......... .......... .......... .......... .......... 41% 66.5M 0s\n",
            " 23700K .......... .......... .......... .......... .......... 41%  148M 0s\n",
            " 23750K .......... .......... .......... .......... .......... 41% 76.6M 0s\n",
            " 23800K .......... .......... .......... .......... .......... 41% 75.5M 0s\n",
            " 23850K .......... .......... .......... .......... .......... 41%  141M 0s\n",
            " 23900K .......... .......... .......... .......... .......... 41%  138M 0s\n",
            " 23950K .......... .......... .......... .......... .......... 42% 40.8M 0s\n",
            " 24000K .......... .......... .......... .......... .......... 42% 70.3M 0s\n",
            " 24050K .......... .......... .......... .......... .......... 42%  141M 0s\n",
            " 24100K .......... .......... .......... .......... .......... 42%  142M 0s\n",
            " 24150K .......... .......... .......... .......... .......... 42% 46.7M 0s\n",
            " 24200K .......... .......... .......... .......... .......... 42% 48.8M 0s\n",
            " 24250K .......... .......... .......... .......... .......... 42% 76.5M 0s\n",
            " 24300K .......... .......... .......... .......... .......... 42%  119M 0s\n",
            " 24350K .......... .......... .......... .......... .......... 42% 47.9M 0s\n",
            " 24400K .......... .......... .......... .......... .......... 42% 67.6M 0s\n",
            " 24450K .......... .......... .......... .......... .......... 42%  124M 0s\n",
            " 24500K .......... .......... .......... .......... .......... 42% 65.0M 0s\n",
            " 24550K .......... .......... .......... .......... .......... 43%  110M 0s\n",
            " 24600K .......... .......... .......... .......... .......... 43% 69.4M 0s\n",
            " 24650K .......... .......... .......... .......... .......... 43%  118M 0s\n",
            " 24700K .......... .......... .......... .......... .......... 43%  136M 0s\n",
            " 24750K .......... .......... .......... .......... .......... 43%  121M 0s\n",
            " 24800K .......... .......... .......... .......... .......... 43%  135M 0s\n",
            " 24850K .......... .......... .......... .......... .......... 43%  142M 0s\n",
            " 24900K .......... .......... .......... .......... .......... 43%  157M 0s\n",
            " 24950K .......... .......... .......... .......... .......... 43% 29.4M 0s\n",
            " 25000K .......... .......... .......... .......... .......... 43% 68.0M 0s\n",
            " 25050K .......... .......... .......... .......... .......... 43%  118M 0s\n",
            " 25100K .......... .......... .......... .......... .......... 44%  121M 0s\n",
            " 25150K .......... .......... .......... .......... .......... 44% 25.0M 0s\n",
            " 25200K .......... .......... .......... .......... .......... 44% 64.7M 0s\n",
            " 25250K .......... .......... .......... .......... .......... 44%  141M 0s\n",
            " 25300K .......... .......... .......... .......... .......... 44% 69.7M 0s\n",
            " 25350K .......... .......... .......... .......... .......... 44% 75.6M 0s\n",
            " 25400K .......... .......... .......... .......... .......... 44%  135M 0s\n",
            " 25450K .......... .......... .......... .......... .......... 44% 75.9M 0s\n",
            " 25500K .......... .......... .......... .......... .......... 44%  140M 0s\n",
            " 25550K .......... .......... .......... .......... .......... 44%  112M 0s\n",
            " 25600K .......... .......... .......... .......... .......... 44% 63.9M 0s\n",
            " 25650K .......... .......... .......... .......... .......... 45%  105M 0s\n",
            " 25700K .......... .......... .......... .......... .......... 45%  124M 0s\n",
            " 25750K .......... .......... .......... .......... .......... 45% 55.1M 0s\n",
            " 25800K .......... .......... .......... .......... .......... 45%  124M 0s\n",
            " 25850K .......... .......... .......... .......... .......... 45%  124M 0s\n",
            " 25900K .......... .......... .......... .......... .......... 45% 52.6M 0s\n",
            " 25950K .......... .......... .......... .......... .......... 45%  101M 0s\n",
            " 26000K .......... .......... .......... .......... .......... 45% 85.8M 0s\n",
            " 26050K .......... .......... .......... .......... .......... 45% 72.8M 0s\n",
            " 26100K .......... .......... .......... .......... .......... 45%  124M 0s\n",
            " 26150K .......... .......... .......... .......... .......... 45% 99.9M 0s\n",
            " 26200K .......... .......... .......... .......... .......... 45%  130M 0s\n",
            " 26250K .......... .......... .......... .......... .......... 46%  138M 0s\n",
            " 26300K .......... .......... .......... .......... .......... 46%  125M 0s\n",
            " 26350K .......... .......... .......... .......... .......... 46%  106M 0s\n",
            " 26400K .......... .......... .......... .......... .......... 46%  129M 0s\n",
            " 26450K .......... .......... .......... .......... .......... 46%  114M 0s\n",
            " 26500K .......... .......... .......... .......... .......... 46%  132M 0s\n",
            " 26550K .......... .......... .......... .......... .......... 46%  115M 0s\n",
            " 26600K .......... .......... .......... .......... .......... 46%  115M 0s\n",
            " 26650K .......... .......... .......... .......... .......... 46% 62.2M 0s\n",
            " 26700K .......... .......... .......... .......... .......... 46% 92.8M 0s\n",
            " 26750K .......... .......... .......... .......... .......... 46% 63.2M 0s\n",
            " 26800K .......... .......... .......... .......... .......... 47% 84.9M 0s\n",
            " 26850K .......... .......... .......... .......... .......... 47% 70.8M 0s\n",
            " 26900K .......... .......... .......... .......... .......... 47% 54.2M 0s\n",
            " 26950K .......... .......... .......... .......... .......... 47% 52.1M 0s\n",
            " 27000K .......... .......... .......... .......... .......... 47% 78.1M 0s\n",
            " 27050K .......... .......... .......... .......... .......... 47% 50.6M 0s\n",
            " 27100K .......... .......... .......... .......... .......... 47% 54.0M 0s\n",
            " 27150K .......... .......... .......... .......... .......... 47% 74.8M 0s\n",
            " 27200K .......... .......... .......... .......... .......... 47%  130M 0s\n",
            " 27250K .......... .......... .......... .......... .......... 47% 91.2M 0s\n",
            " 27300K .......... .......... .......... .......... .......... 47%  136M 0s\n",
            " 27350K .......... .......... .......... .......... .......... 47% 80.9M 0s\n",
            " 27400K .......... .......... .......... .......... .......... 48%  133M 0s\n",
            " 27450K .......... .......... .......... .......... .......... 48% 62.5M 0s\n",
            " 27500K .......... .......... .......... .......... .......... 48%  119M 0s\n",
            " 27550K .......... .......... .......... .......... .......... 48% 79.4M 0s\n",
            " 27600K .......... .......... .......... .......... .......... 48% 70.5M 0s\n",
            " 27650K .......... .......... .......... .......... .......... 48%  100M 0s\n",
            " 27700K .......... .......... .......... .......... .......... 48% 85.3M 0s\n",
            " 27750K .......... .......... .......... .......... .......... 48% 78.6M 0s\n",
            " 27800K .......... .......... .......... .......... .......... 48%  144M 0s\n",
            " 27850K .......... .......... .......... .......... .......... 48% 90.6M 0s\n",
            " 27900K .......... .......... .......... .......... .......... 48%  141M 0s\n",
            " 27950K .......... .......... .......... .......... .......... 49% 56.4M 0s\n",
            " 28000K .......... .......... .......... .......... .......... 49% 88.1M 0s\n",
            " 28050K .......... .......... .......... .......... .......... 49%  127M 0s\n",
            " 28100K .......... .......... .......... .......... .......... 49%  139M 0s\n",
            " 28150K .......... .......... .......... .......... .......... 49% 84.8M 0s\n",
            " 28200K .......... .......... .......... .......... .......... 49%  141M 0s\n",
            " 28250K .......... .......... .......... .......... .......... 49% 55.2M 0s\n",
            " 28300K .......... .......... .......... .......... .......... 49%  138M 0s\n",
            " 28350K .......... .......... .......... .......... .......... 49% 70.9M 0s\n",
            " 28400K .......... .......... .......... .......... .......... 49%  125M 0s\n",
            " 28450K .......... .......... .......... .......... .......... 49% 60.1M 0s\n",
            " 28500K .......... .......... .......... .......... .......... 50% 81.8M 0s\n",
            " 28550K .......... .......... .......... .......... .......... 50% 75.8M 0s\n",
            " 28600K .......... .......... .......... .......... .......... 50%  131M 0s\n",
            " 28650K .......... .......... .......... .......... .......... 50%  134M 0s\n",
            " 28700K .......... .......... .......... .......... .......... 50%  127M 0s\n",
            " 28750K .......... .......... .......... .......... .......... 50% 44.8M 0s\n",
            " 28800K .......... .......... .......... .......... .......... 50%  134M 0s\n",
            " 28850K .......... .......... .......... .......... .......... 50% 77.7M 0s\n",
            " 28900K .......... .......... .......... .......... .......... 50%  137M 0s\n",
            " 28950K .......... .......... .......... .......... .......... 50%  119M 0s\n",
            " 29000K .......... .......... .......... .......... .......... 50% 53.2M 0s\n",
            " 29050K .......... .......... .......... .......... .......... 50%  108M 0s\n",
            " 29100K .......... .......... .......... .......... .......... 51%  136M 0s\n",
            " 29150K .......... .......... .......... .......... .......... 51% 58.8M 0s\n",
            " 29200K .......... .......... .......... .......... .......... 51%  123M 0s\n",
            " 29250K .......... .......... .......... .......... .......... 51%  132M 0s\n",
            " 29300K .......... .......... .......... .......... .......... 51% 52.2M 0s\n",
            " 29350K .......... .......... .......... .......... .......... 51%  117M 0s\n",
            " 29400K .......... .......... .......... .......... .......... 51%  133M 0s\n",
            " 29450K .......... .......... .......... .......... .......... 51% 64.0M 0s\n",
            " 29500K .......... .......... .......... .......... .......... 51%  135M 0s\n",
            " 29550K .......... .......... .......... .......... .......... 51% 90.3M 0s\n",
            " 29600K .......... .......... .......... .......... .......... 51% 79.1M 0s\n",
            " 29650K .......... .......... .......... .......... .......... 52% 95.2M 0s\n",
            " 29700K .......... .......... .......... .......... .......... 52%  136M 0s\n",
            " 29750K .......... .......... .......... .......... .......... 52% 61.2M 0s\n",
            " 29800K .......... .......... .......... .......... .......... 52%  136M 0s\n",
            " 29850K .......... .......... .......... .......... .......... 52% 94.3M 0s\n",
            " 29900K .......... .......... .......... .......... .......... 52% 84.6M 0s\n",
            " 29950K .......... .......... .......... .......... .......... 52% 73.9M 0s\n",
            " 30000K .......... .......... .......... .......... .......... 52% 82.9M 0s\n",
            " 30050K .......... .......... .......... .......... .......... 52% 78.8M 0s\n",
            " 30100K .......... .......... .......... .......... .......... 52%  136M 0s\n",
            " 30150K .......... .......... .......... .......... .......... 52% 73.7M 0s\n",
            " 30200K .......... .......... .......... .......... .......... 52% 98.0M 0s\n",
            " 30250K .......... .......... .......... .......... .......... 53%  126M 0s\n",
            " 30300K .......... .......... .......... .......... .......... 53% 68.7M 0s\n",
            " 30350K .......... .......... .......... .......... .......... 53%  109M 0s\n",
            " 30400K .......... .......... .......... .......... .......... 53%  135M 0s\n",
            " 30450K .......... .......... .......... .......... .......... 53% 66.2M 0s\n",
            " 30500K .......... .......... .......... .......... .......... 53%  141M 0s\n",
            " 30550K .......... .......... .......... .......... .......... 53%  114M 0s\n",
            " 30600K .......... .......... .......... .......... .......... 53%  137M 0s\n",
            " 30650K .......... .......... .......... .......... .......... 53% 54.0M 0s\n",
            " 30700K .......... .......... .......... .......... .......... 53%  144M 0s\n",
            " 30750K .......... .......... .......... .......... .......... 53% 48.5M 0s\n",
            " 30800K .......... .......... .......... .......... .......... 54%  124M 0s\n",
            " 30850K .......... .......... .......... .......... .......... 54%  129M 0s\n",
            " 30900K .......... .......... .......... .......... .......... 54% 68.3M 0s\n",
            " 30950K .......... .......... .......... .......... .......... 54% 79.4M 0s\n",
            " 31000K .......... .......... .......... .......... .......... 54% 92.2M 0s\n",
            " 31050K .......... .......... .......... .......... .......... 54%  146M 0s\n",
            " 31100K .......... .......... .......... .......... .......... 54%  131M 0s\n",
            " 31150K .......... .......... .......... .......... .......... 54%  104M 0s\n",
            " 31200K .......... .......... .......... .......... .......... 54%  104M 0s\n",
            " 31250K .......... .......... .......... .......... .......... 54% 55.5M 0s\n",
            " 31300K .......... .......... .......... .......... .......... 54%  130M 0s\n",
            " 31350K .......... .......... .......... .......... .......... 54% 58.5M 0s\n",
            " 31400K .......... .......... .......... .......... .......... 55%  124M 0s\n",
            " 31450K .......... .......... .......... .......... .......... 55%  132M 0s\n",
            " 31500K .......... .......... .......... .......... .......... 55% 74.2M 0s\n",
            " 31550K .......... .......... .......... .......... .......... 55% 64.3M 0s\n",
            " 31600K .......... .......... .......... .......... .......... 55% 79.2M 0s\n",
            " 31650K .......... .......... .......... .......... .......... 55% 88.7M 0s\n",
            " 31700K .......... .......... .......... .......... .......... 55%  140M 0s\n",
            " 31750K .......... .......... .......... .......... .......... 55%  121M 0s\n",
            " 31800K .......... .......... .......... .......... .......... 55% 65.4M 0s\n",
            " 31850K .......... .......... .......... .......... .......... 55% 82.0M 0s\n",
            " 31900K .......... .......... .......... .......... .......... 55% 71.6M 0s\n",
            " 31950K .......... .......... .......... .......... .......... 56%  113M 0s\n",
            " 32000K .......... .......... .......... .......... .......... 56%  133M 0s\n",
            " 32050K .......... .......... .......... .......... .......... 56%  130M 0s\n",
            " 32100K .......... .......... .......... .......... .......... 56% 52.7M 0s\n",
            " 32150K .......... .......... .......... .......... .......... 56%  115M 0s\n",
            " 32200K .......... .......... .......... .......... .......... 56% 65.7M 0s\n",
            " 32250K .......... .......... .......... .......... .......... 56%  136M 0s\n",
            " 32300K .......... .......... .......... .......... .......... 56%  129M 0s\n",
            " 32350K .......... .......... .......... .......... .......... 56%  110M 0s\n",
            " 32400K .......... .......... .......... .......... .......... 56% 61.1M 0s\n",
            " 32450K .......... .......... .......... .......... .......... 56%  107M 0s\n",
            " 32500K .......... .......... .......... .......... .......... 57% 64.5M 0s\n",
            " 32550K .......... .......... .......... .......... .......... 57%  124M 0s\n",
            " 32600K .......... .......... .......... .......... .......... 57%  136M 0s\n",
            " 32650K .......... .......... .......... .......... .......... 57%  131M 0s\n",
            " 32700K .......... .......... .......... .......... .......... 57% 67.2M 0s\n",
            " 32750K .......... .......... .......... .......... .......... 57% 60.9M 0s\n",
            " 32800K .......... .......... .......... .......... .......... 57%  140M 0s\n",
            " 32850K .......... .......... .......... .......... .......... 57%  133M 0s\n",
            " 32900K .......... .......... .......... .......... .......... 57%  128M 0s\n",
            " 32950K .......... .......... .......... .......... .......... 57%  118M 0s\n",
            " 33000K .......... .......... .......... .......... .......... 57% 84.0M 0s\n",
            " 33050K .......... .......... .......... .......... .......... 57% 78.0M 0s\n",
            " 33100K .......... .......... .......... .......... .......... 58% 48.2M 0s\n",
            " 33150K .......... .......... .......... .......... .......... 58%  107M 0s\n",
            " 33200K .......... .......... .......... .......... .......... 58%  124M 0s\n",
            " 33250K .......... .......... .......... .......... .......... 58%  104M 0s\n",
            " 33300K .......... .......... .......... .......... .......... 58% 71.8M 0s\n",
            " 33350K .......... .......... .......... .......... .......... 58% 58.1M 0s\n",
            " 33400K .......... .......... .......... .......... .......... 58% 85.7M 0s\n",
            " 33450K .......... .......... .......... .......... .......... 58%  119M 0s\n",
            " 33500K .......... .......... .......... .......... .......... 58%  116M 0s\n",
            " 33550K .......... .......... .......... .......... .......... 58% 43.7M 0s\n",
            " 33600K .......... .......... .......... .......... .......... 58% 73.8M 0s\n",
            " 33650K .......... .......... .......... .......... .......... 59%  128M 0s\n",
            " 33700K .......... .......... .......... .......... .......... 59%  122M 0s\n",
            " 33750K .......... .......... .......... .......... .......... 59%  116M 0s\n",
            " 33800K .......... .......... .......... .......... .......... 59% 84.0M 0s\n",
            " 33850K .......... .......... .......... .......... .......... 59% 67.3M 0s\n",
            " 33900K .......... .......... .......... .......... .......... 59% 67.1M 0s\n",
            " 33950K .......... .......... .......... .......... .......... 59%  114M 0s\n",
            " 34000K .......... .......... .......... .......... .......... 59%  119M 0s\n",
            " 34050K .......... .......... .......... .......... .......... 59%  133M 0s\n",
            " 34100K .......... .......... .......... .......... .......... 59% 68.0M 0s\n",
            " 34150K .......... .......... .......... .......... .......... 59% 53.7M 0s\n",
            " 34200K .......... .......... .......... .......... .......... 59% 93.5M 0s\n",
            " 34250K .......... .......... .......... .......... .......... 60%  134M 0s\n",
            " 34300K .......... .......... .......... .......... .......... 60%  129M 0s\n",
            " 34350K .......... .......... .......... .......... .......... 60%  105M 0s\n",
            " 34400K .......... .......... .......... .......... .......... 60% 43.3M 0s\n",
            " 34450K .......... .......... .......... .......... .......... 60% 70.6M 0s\n",
            " 34500K .......... .......... .......... .......... .......... 60%  101M 0s\n",
            " 34550K .......... .......... .......... .......... .......... 60%  134M 0s\n",
            " 34600K .......... .......... .......... .......... .......... 60%  128M 0s\n",
            " 34650K .......... .......... .......... .......... .......... 60% 64.1M 0s\n",
            " 34700K .......... .......... .......... .......... .......... 60% 86.1M 0s\n",
            " 34750K .......... .......... .......... .......... .......... 60%  118M 0s\n",
            " 34800K .......... .......... .......... .......... .......... 61% 85.7M 0s\n",
            " 34850K .......... .......... .......... .......... .......... 61%  132M 0s\n",
            " 34900K .......... .......... .......... .......... .......... 61%  125M 0s\n",
            " 34950K .......... .......... .......... .......... .......... 61% 65.2M 0s\n",
            " 35000K .......... .......... .......... .......... .......... 61% 90.4M 0s\n",
            " 35050K .......... .......... .......... .......... .......... 61%  143M 0s\n",
            " 35100K .......... .......... .......... .......... .......... 61% 61.4M 0s\n",
            " 35150K .......... .......... .......... .......... .......... 61% 98.3M 0s\n",
            " 35200K .......... .......... .......... .......... .......... 61%  125M 0s\n",
            " 35250K .......... .......... .......... .......... .......... 61% 62.6M 0s\n",
            " 35300K .......... .......... .......... .......... .......... 61% 93.9M 0s\n",
            " 35350K .......... .......... .......... .......... .......... 61%  119M 0s\n",
            " 35400K .......... .......... .......... .......... .......... 62%  122M 0s\n",
            " 35450K .......... .......... .......... .......... .......... 62% 92.5M 0s\n",
            " 35500K .......... .......... .......... .......... .......... 62% 53.2M 0s\n",
            " 35550K .......... .......... .......... .......... .......... 62% 66.4M 0s\n",
            " 35600K .......... .......... .......... .......... .......... 62% 76.8M 0s\n",
            " 35650K .......... .......... .......... .......... .......... 62%  119M 0s\n",
            " 35700K .......... .......... .......... .......... .......... 62% 56.7M 0s\n",
            " 35750K .......... .......... .......... .......... .......... 62% 60.7M 0s\n",
            " 35800K .......... .......... .......... .......... .......... 62%  139M 0s\n",
            " 35850K .......... .......... .......... .......... .......... 62% 80.8M 0s\n",
            " 35900K .......... .......... .......... .......... .......... 62%  136M 0s\n",
            " 35950K .......... .......... .......... .......... .......... 63% 69.0M 0s\n",
            " 36000K .......... .......... .......... .......... .......... 63% 87.6M 0s\n",
            " 36050K .......... .......... .......... .......... .......... 63% 81.8M 0s\n",
            " 36100K .......... .......... .......... .......... .......... 63%  137M 0s\n",
            " 36150K .......... .......... .......... .......... .......... 63% 68.4M 0s\n",
            " 36200K .......... .......... .......... .......... .......... 63%  123M 0s\n",
            " 36250K .......... .......... .......... .......... .......... 63% 70.6M 0s\n",
            " 36300K .......... .......... .......... .......... .......... 63% 55.8M 0s\n",
            " 36350K .......... .......... .......... .......... .......... 63% 73.2M 0s\n",
            " 36400K .......... .......... .......... .......... .......... 63% 77.5M 0s\n",
            " 36450K .......... .......... .......... .......... .......... 63%  133M 0s\n",
            " 36500K .......... .......... .......... .......... .......... 64% 82.0M 0s\n",
            " 36550K .......... .......... .......... .......... .......... 64% 71.4M 0s\n",
            " 36600K .......... .......... .......... .......... .......... 64%  126M 0s\n",
            " 36650K .......... .......... .......... .......... .......... 64% 78.4M 0s\n",
            " 36700K .......... .......... .......... .......... .......... 64% 87.9M 0s\n",
            " 36750K .......... .......... .......... .......... .......... 64% 62.5M 0s\n",
            " 36800K .......... .......... .......... .......... .......... 64%  118M 0s\n",
            " 36850K .......... .......... .......... .......... .......... 64%  151M 0s\n",
            " 36900K .......... .......... .......... .......... .......... 64%  133M 0s\n",
            " 36950K .......... .......... .......... .......... .......... 64% 61.1M 0s\n",
            " 37000K .......... .......... .......... .......... .......... 64% 83.7M 0s\n",
            " 37050K .......... .......... .......... .......... .......... 64%  130M 0s\n",
            " 37100K .......... .......... .......... .......... .......... 65% 81.3M 0s\n",
            " 37150K .......... .......... .......... .......... .......... 65%  103M 0s\n",
            " 37200K .......... .......... .......... .......... .......... 65%  104M 0s\n",
            " 37250K .......... .......... .......... .......... .......... 65% 45.8M 0s\n",
            " 37300K .......... .......... .......... .......... .......... 65%  136M 0s\n",
            " 37350K .......... .......... .......... .......... .......... 65% 55.9M 0s\n",
            " 37400K .......... .......... .......... .......... .......... 65%  125M 0s\n",
            " 37450K .......... .......... .......... .......... .......... 65%  128M 0s\n",
            " 37500K .......... .......... .......... .......... .......... 65% 57.1M 0s\n",
            " 37550K .......... .......... .......... .......... .......... 65%  112M 0s\n",
            " 37600K .......... .......... .......... .......... .......... 65%  114M 0s\n",
            " 37650K .......... .......... .......... .......... .......... 66% 62.2M 0s\n",
            " 37700K .......... .......... .......... .......... .......... 66%  115M 0s\n",
            " 37750K .......... .......... .......... .......... .......... 66% 76.5M 0s\n",
            " 37800K .......... .......... .......... .......... .......... 66% 60.7M 0s\n",
            " 37850K .......... .......... .......... .......... .......... 66%  111M 0s\n",
            " 37900K .......... .......... .......... .......... .......... 66% 60.0M 0s\n",
            " 37950K .......... .......... .......... .......... .......... 66%  109M 0s\n",
            " 38000K .......... .......... .......... .......... .......... 66% 75.8M 0s\n",
            " 38050K .......... .......... .......... .......... .......... 66% 83.1M 0s\n",
            " 38100K .......... .......... .......... .......... .......... 66%  135M 0s\n",
            " 38150K .......... .......... .......... .......... .......... 66%  114M 0s\n",
            " 38200K .......... .......... .......... .......... .......... 66% 59.5M 0s\n",
            " 38250K .......... .......... .......... .......... .......... 67%  124M 0s\n",
            " 38300K .......... .......... .......... .......... .......... 67% 78.1M 0s\n",
            " 38350K .......... .......... .......... .......... .......... 67% 68.6M 0s\n",
            " 38400K .......... .......... .......... .......... .......... 67%  122M 0s\n",
            " 38450K .......... .......... .......... .......... .......... 67% 63.7M 0s\n",
            " 38500K .......... .......... .......... .......... .......... 67% 80.0M 0s\n",
            " 38550K .......... .......... .......... .......... .......... 67% 74.5M 0s\n",
            " 38600K .......... .......... .......... .......... .......... 67%  121M 0s\n",
            " 38650K .......... .......... .......... .......... .......... 67%  124M 0s\n",
            " 38700K .......... .......... .......... .......... .......... 67%  134M 0s\n",
            " 38750K .......... .......... .......... .......... .......... 67% 57.8M 0s\n",
            " 38800K .......... .......... .......... .......... .......... 68%  123M 0s\n",
            " 38850K .......... .......... .......... .......... .......... 68% 48.5M 0s\n",
            " 38900K .......... .......... .......... .......... .......... 68%  128M 0s\n",
            " 38950K .......... .......... .......... .......... .......... 68%  120M 0s\n",
            " 39000K .......... .......... .......... .......... .......... 68%  126M 0s\n",
            " 39050K .......... .......... .......... .......... .......... 68% 69.1M 0s\n",
            " 39100K .......... .......... .......... .......... .......... 68% 84.4M 0s\n",
            " 39150K .......... .......... .......... .......... .......... 68%  117M 0s\n",
            " 39200K .......... .......... .......... .......... .......... 68% 59.5M 0s\n",
            " 39250K .......... .......... .......... .......... .......... 68%  129M 0s\n",
            " 39300K .......... .......... .......... .......... .......... 68%  125M 0s\n",
            " 39350K .......... .......... .......... .......... .......... 69% 38.7M 0s\n",
            " 39400K .......... .......... .......... .......... .......... 69%  101M 0s\n",
            " 39450K .......... .......... .......... .......... .......... 69% 86.0M 0s\n",
            " 39500K .......... .......... .......... .......... .......... 69%  132M 0s\n",
            " 39550K .......... .......... .......... .......... .......... 69%  109M 0s\n",
            " 39600K .......... .......... .......... .......... .......... 69% 69.4M 0s\n",
            " 39650K .......... .......... .......... .......... .......... 69% 86.7M 0s\n",
            " 39700K .......... .......... .......... .......... .......... 69%  135M 0s\n",
            " 39750K .......... .......... .......... .......... .......... 69% 68.9M 0s\n",
            " 39800K .......... .......... .......... .......... .......... 69%  123M 0s\n",
            " 39850K .......... .......... .......... .......... .......... 69%  134M 0s\n",
            " 39900K .......... .......... .......... .......... .......... 69% 57.3M 0s\n",
            " 39950K .......... .......... .......... .......... .......... 70% 62.4M 0s\n",
            " 40000K .......... .......... .......... .......... .......... 70% 77.1M 0s\n",
            " 40050K .......... .......... .......... .......... .......... 70%  127M 0s\n",
            " 40100K .......... .......... .......... .......... .......... 70%  132M 0s\n",
            " 40150K .......... .......... .......... .......... .......... 70% 58.2M 0s\n",
            " 40200K .......... .......... .......... .......... .......... 70% 67.9M 0s\n",
            " 40250K .......... .......... .......... .......... .......... 70%  103M 0s\n",
            " 40300K .......... .......... .......... .......... .......... 70%  133M 0s\n",
            " 40350K .......... .......... .......... .......... .......... 70%  106M 0s\n",
            " 40400K .......... .......... .......... .......... .......... 70%  130M 0s\n",
            " 40450K .......... .......... .......... .......... .......... 70%  114M 0s\n",
            " 40500K .......... .......... .......... .......... .......... 71% 53.3M 0s\n",
            " 40550K .......... .......... .......... .......... .......... 71% 50.2M 0s\n",
            " 40600K .......... .......... .......... .......... .......... 71%  104M 0s\n",
            " 40650K .......... .......... .......... .......... .......... 71%  134M 0s\n",
            " 40700K .......... .......... .......... .......... .......... 71%  114M 0s\n",
            " 40750K .......... .......... .......... .......... .......... 71% 48.9M 0s\n",
            " 40800K .......... .......... .......... .......... .......... 71% 86.6M 0s\n",
            " 40850K .......... .......... .......... .......... .......... 71% 81.2M 0s\n",
            " 40900K .......... .......... .......... .......... .......... 71%  142M 0s\n",
            " 40950K .......... .......... .......... .......... .......... 71%  116M 0s\n",
            " 41000K .......... .......... .......... .......... .......... 71% 66.7M 0s\n",
            " 41050K .......... .......... .......... .......... .......... 71%  121M 0s\n",
            " 41100K .......... .......... .......... .......... .......... 72%  144M 0s\n",
            " 41150K .......... .......... .......... .......... .......... 72% 54.6M 0s\n",
            " 41200K .......... .......... .......... .......... .......... 72%  137M 0s\n",
            " 41250K .......... .......... .......... .......... .......... 72%  133M 0s\n",
            " 41300K .......... .......... .......... .......... .......... 72% 61.1M 0s\n",
            " 41350K .......... .......... .......... .......... .......... 72% 79.7M 0s\n",
            " 41400K .......... .......... .......... .......... .......... 72% 91.3M 0s\n",
            " 41450K .......... .......... .......... .......... .......... 72% 84.3M 0s\n",
            " 41500K .......... .......... .......... .......... .......... 72%  134M 0s\n",
            " 41550K .......... .......... .......... .......... .......... 72%  114M 0s\n",
            " 41600K .......... .......... .......... .......... .......... 72% 52.7M 0s\n",
            " 41650K .......... .......... .......... .......... .......... 73% 75.5M 0s\n",
            " 41700K .......... .......... .......... .......... .......... 73% 82.3M 0s\n",
            " 41750K .......... .......... .......... .......... .......... 73%  111M 0s\n",
            " 41800K .......... .......... .......... .......... .......... 73%  115M 0s\n",
            " 41850K .......... .......... .......... .......... .......... 73% 38.3M 0s\n",
            " 41900K .......... .......... .......... .......... .......... 73%  128M 0s\n",
            " 41950K .......... .......... .......... .......... .......... 73% 60.2M 0s\n",
            " 42000K .......... .......... .......... .......... .......... 73%  129M 0s\n",
            " 42050K .......... .......... .......... .......... .......... 73%  124M 0s\n",
            " 42100K .......... .......... .......... .......... .......... 73% 46.3M 0s\n",
            " 42150K .......... .......... .......... .......... .......... 73%  121M 0s\n",
            " 42200K .......... .......... .......... .......... .......... 73% 54.1M 0s\n",
            " 42250K .......... .......... .......... .......... .......... 74%  150M 0s\n",
            " 42300K .......... .......... .......... .......... .......... 74%  146M 0s\n",
            " 42350K .......... .......... .......... .......... .......... 74% 49.5M 0s\n",
            " 42400K .......... .......... .......... .......... .......... 74%  113M 0s\n",
            " 42450K .......... .......... .......... .......... .......... 74% 91.8M 0s\n",
            " 42500K .......... .......... .......... .......... .......... 74% 74.3M 0s\n",
            " 42550K .......... .......... .......... .......... .......... 74%  139M 0s\n",
            " 42600K .......... .......... .......... .......... .......... 74% 53.0M 0s\n",
            " 42650K .......... .......... .......... .......... .......... 74%  133M 0s\n",
            " 42700K .......... .......... .......... .......... .......... 74% 71.6M 0s\n",
            " 42750K .......... .......... .......... .......... .......... 74% 60.2M 0s\n",
            " 42800K .......... .......... .......... .......... .......... 75%  127M 0s\n",
            " 42850K .......... .......... .......... .......... .......... 75% 58.2M 0s\n",
            " 42900K .......... .......... .......... .......... .......... 75%  115M 0s\n",
            " 42950K .......... .......... .......... .......... .......... 75% 83.8M 0s\n",
            " 43000K .......... .......... .......... .......... .......... 75% 96.7M 0s\n",
            " 43050K .......... .......... .......... .......... .......... 75%  151M 0s\n",
            " 43100K .......... .......... .......... .......... .......... 75%  111M 0s\n",
            " 43150K .......... .......... .......... .......... .......... 75% 58.1M 0s\n",
            " 43200K .......... .......... .......... .......... .......... 75%  135M 0s\n",
            " 43250K .......... .......... .......... .......... .......... 75% 87.6M 0s\n",
            " 43300K .......... .......... .......... .......... .......... 75%  114M 0s\n",
            " 43350K .......... .......... .......... .......... .......... 76% 59.8M 0s\n",
            " 43400K .......... .......... .......... .......... .......... 76%  117M 0s\n",
            " 43450K .......... .......... .......... .......... .......... 76% 65.5M 0s\n",
            " 43500K .......... .......... .......... .......... .......... 76% 90.6M 0s\n",
            " 43550K .......... .......... .......... .......... .......... 76%  110M 0s\n",
            " 43600K .......... .......... .......... .......... .......... 76% 80.7M 0s\n",
            " 43650K .......... .......... .......... .......... .......... 76% 89.6M 0s\n",
            " 43700K .......... .......... .......... .......... .......... 76% 78.3M 0s\n",
            " 43750K .......... .......... .......... .......... .......... 76% 83.5M 0s\n",
            " 43800K .......... .......... .......... .......... .......... 76% 79.9M 0s\n",
            " 43850K .......... .......... .......... .......... .......... 76%  108M 0s\n",
            " 43900K .......... .......... .......... .......... .......... 76% 93.1M 0s\n",
            " 43950K .......... .......... .......... .......... .......... 77% 68.6M 0s\n",
            " 44000K .......... .......... .......... .......... .......... 77%  119M 0s\n",
            " 44050K .......... .......... .......... .......... .......... 77% 76.5M 0s\n",
            " 44100K .......... .......... .......... .......... .......... 77% 89.5M 0s\n",
            " 44150K .......... .......... .......... .......... .......... 77% 78.0M 0s\n",
            " 44200K .......... .......... .......... .......... .......... 77%  133M 0s\n",
            " 44250K .......... .......... .......... .......... .......... 77% 64.2M 0s\n",
            " 44300K .......... .......... .......... .......... .......... 77% 63.8M 0s\n",
            " 44350K .......... .......... .......... .......... .......... 77% 74.5M 0s\n",
            " 44400K .......... .......... .......... .......... .......... 77%  134M 0s\n",
            " 44450K .......... .......... .......... .......... .......... 77% 86.6M 0s\n",
            " 44500K .......... .......... .......... .......... .......... 78% 78.1M 0s\n",
            " 44550K .......... .......... .......... .......... .......... 78% 61.1M 0s\n",
            " 44600K .......... .......... .......... .......... .......... 78%  126M 0s\n",
            " 44650K .......... .......... .......... .......... .......... 78% 84.9M 0s\n",
            " 44700K .......... .......... .......... .......... .......... 78%  132M 0s\n",
            " 44750K .......... .......... .......... .......... .......... 78% 58.6M 0s\n",
            " 44800K .......... .......... .......... .......... .......... 78%  126M 0s\n",
            " 44850K .......... .......... .......... .......... .......... 78% 85.2M 0s\n",
            " 44900K .......... .......... .......... .......... .......... 78%  130M 0s\n",
            " 44950K .......... .......... .......... .......... .......... 78% 77.7M 0s\n",
            " 45000K .......... .......... .......... .......... .......... 78%  124M 0s\n",
            " 45050K .......... .......... .......... .......... .......... 78% 60.9M 0s\n",
            " 45100K .......... .......... .......... .......... .......... 79%  122M 0s\n",
            " 45150K .......... .......... .......... .......... .......... 79% 67.8M 0s\n",
            " 45200K .......... .......... .......... .......... .......... 79% 85.2M 0s\n",
            " 45250K .......... .......... .......... .......... .......... 79% 61.6M 0s\n",
            " 45300K .......... .......... .......... .......... .......... 79% 74.6M 0s\n",
            " 45350K .......... .......... .......... .......... .......... 79% 75.8M 0s\n",
            " 45400K .......... .......... .......... .......... .......... 79%  125M 0s\n",
            " 45450K .......... .......... .......... .......... .......... 79%  138M 0s\n",
            " 45500K .......... .......... .......... .......... .......... 79% 67.6M 0s\n",
            " 45550K .......... .......... .......... .......... .......... 79% 73.8M 0s\n",
            " 45600K .......... .......... .......... .......... .......... 79%  140M 0s\n",
            " 45650K .......... .......... .......... .......... .......... 80% 79.3M 0s\n",
            " 45700K .......... .......... .......... .......... .......... 80%  135M 0s\n",
            " 45750K .......... .......... .......... .......... .......... 80%  116M 0s\n",
            " 45800K .......... .......... .......... .......... .......... 80% 57.8M 0s\n",
            " 45850K .......... .......... .......... .......... .......... 80% 78.2M 0s\n",
            " 45900K .......... .......... .......... .......... .......... 80% 82.6M 0s\n",
            " 45950K .......... .......... .......... .......... .......... 80% 68.2M 0s\n",
            " 46000K .......... .......... .......... .......... .......... 80%  126M 0s\n",
            " 46050K .......... .......... .......... .......... .......... 80% 64.2M 0s\n",
            " 46100K .......... .......... .......... .......... .......... 80% 76.5M 0s\n",
            " 46150K .......... .......... .......... .......... .......... 80% 93.4M 0s\n",
            " 46200K .......... .......... .......... .......... .......... 81% 91.6M 0s\n",
            " 46250K .......... .......... .......... .......... .......... 81%  126M 0s\n",
            " 46300K .......... .......... .......... .......... .......... 81%  126M 0s\n",
            " 46350K .......... .......... .......... .......... .......... 81% 54.2M 0s\n",
            " 46400K .......... .......... .......... .......... .......... 81% 83.7M 0s\n",
            " 46450K .......... .......... .......... .......... .......... 81% 89.9M 0s\n",
            " 46500K .......... .......... .......... .......... .......... 81%  138M 0s\n",
            " 46550K .......... .......... .......... .......... .......... 81%  114M 0s\n",
            " 46600K .......... .......... .......... .......... .......... 81%  139M 0s\n",
            " 46650K .......... .......... .......... .......... .......... 81% 50.3M 0s\n",
            " 46700K .......... .......... .......... .......... .......... 81% 81.9M 0s\n",
            " 46750K .......... .......... .......... .......... .......... 81% 80.9M 0s\n",
            " 46800K .......... .......... .......... .......... .......... 82%  137M 0s\n",
            " 46850K .......... .......... .......... .......... .......... 82%  132M 0s\n",
            " 46900K .......... .......... .......... .......... .......... 82% 65.0M 0s\n",
            " 46950K .......... .......... .......... .......... .......... 82% 71.7M 0s\n",
            " 47000K .......... .......... .......... .......... .......... 82%  131M 0s\n",
            " 47050K .......... .......... .......... .......... .......... 82% 95.0M 0s\n",
            " 47100K .......... .......... .......... .......... .......... 82%  134M 0s\n",
            " 47150K .......... .......... .......... .......... .......... 82%  101M 0s\n",
            " 47200K .......... .......... .......... .......... .......... 82% 66.3M 0s\n",
            " 47250K .......... .......... .......... .......... .......... 82% 81.5M 0s\n",
            " 47300K .......... .......... .......... .......... .......... 82%  128M 0s\n",
            " 47350K .......... .......... .......... .......... .......... 83% 80.5M 0s\n",
            " 47400K .......... .......... .......... .......... .......... 83% 95.1M 0s\n",
            " 47450K .......... .......... .......... .......... .......... 83%  109M 0s\n",
            " 47500K .......... .......... .......... .......... .......... 83% 83.7M 0s\n",
            " 47550K .......... .......... .......... .......... .......... 83% 79.7M 0s\n",
            " 47600K .......... .......... .......... .......... .......... 83%  130M 0s\n",
            " 47650K .......... .......... .......... .......... .......... 83% 72.9M 0s\n",
            " 47700K .......... .......... .......... .......... .......... 83%  136M 0s\n",
            " 47750K .......... .......... .......... .......... .......... 83%  116M 0s\n",
            " 47800K .......... .......... .......... .......... .......... 83%  118M 0s\n",
            " 47850K .......... .......... .......... .......... .......... 83%  123M 0s\n",
            " 47900K .......... .......... .......... .......... .......... 83% 51.5M 0s\n",
            " 47950K .......... .......... .......... .......... .......... 84% 45.8M 0s\n",
            " 48000K .......... .......... .......... .......... .......... 84% 74.8M 0s\n",
            " 48050K .......... .......... .......... .......... .......... 84%  138M 0s\n",
            " 48100K .......... .......... .......... .......... .......... 84% 64.9M 0s\n",
            " 48150K .......... .......... .......... .......... .......... 84% 70.5M 0s\n",
            " 48200K .......... .......... .......... .......... .......... 84% 80.4M 0s\n",
            " 48250K .......... .......... .......... .......... .......... 84% 76.2M 0s\n",
            " 48300K .......... .......... .......... .......... .......... 84%  126M 0s\n",
            " 48350K .......... .......... .......... .......... .......... 84% 63.0M 0s\n",
            " 48400K .......... .......... .......... .......... .......... 84%  107M 0s\n",
            " 48450K .......... .......... .......... .......... .......... 84%  138M 0s\n",
            " 48500K .......... .......... .......... .......... .......... 85% 84.5M 0s\n",
            " 48550K .......... .......... .......... .......... .......... 85% 76.2M 0s\n",
            " 48600K .......... .......... .......... .......... .......... 85%  123M 0s\n",
            " 48650K .......... .......... .......... .......... .......... 85% 86.7M 0s\n",
            " 48700K .......... .......... .......... .......... .......... 85% 93.9M 0s\n",
            " 48750K .......... .......... .......... .......... .......... 85%  101M 0s\n",
            " 48800K .......... .......... .......... .......... .......... 85% 63.3M 0s\n",
            " 48850K .......... .......... .......... .......... .......... 85% 92.7M 0s\n",
            " 48900K .......... .......... .......... .......... .......... 85%  135M 0s\n",
            " 48950K .......... .......... .......... .......... .......... 85%  104M 0s\n",
            " 49000K .......... .......... .......... .......... .......... 85% 64.8M 0s\n",
            " 49050K .......... .......... .......... .......... .......... 85%  131M 0s\n",
            " 49100K .......... .......... .......... .......... .......... 86%  127M 0s\n",
            " 49150K .......... .......... .......... .......... .......... 86%  106M 0s\n",
            " 49200K .......... .......... .......... .......... .......... 86%  134M 0s\n",
            " 49250K .......... .......... .......... .......... .......... 86%  135M 0s\n",
            " 49300K .......... .......... .......... .......... .......... 86%  130M 0s\n",
            " 49350K .......... .......... .......... .......... .......... 86%  110M 0s\n",
            " 49400K .......... .......... .......... .......... .......... 86%  136M 0s\n",
            " 49450K .......... .......... .......... .......... .......... 86%  141M 0s\n",
            " 49500K .......... .......... .......... .......... .......... 86%  125M 0s\n",
            " 49550K .......... .......... .......... .......... .......... 86%  113M 0s\n",
            " 49600K .......... .......... .......... .......... .......... 86%  126M 0s\n",
            " 49650K .......... .......... .......... .......... .......... 87%  138M 0s\n",
            " 49700K .......... .......... .......... .......... .......... 87%  130M 0s\n",
            " 49750K .......... .......... .......... .......... .......... 87%  113M 0s\n",
            " 49800K .......... .......... .......... .......... .......... 87%  105M 0s\n",
            " 49850K .......... .......... .......... .......... .......... 87%  111M 0s\n",
            " 49900K .......... .......... .......... .......... .......... 87%  132M 0s\n",
            " 49950K .......... .......... .......... .......... .......... 87% 51.4M 0s\n",
            " 50000K .......... .......... .......... .......... .......... 87%  132M 0s\n",
            " 50050K .......... .......... .......... .......... .......... 87%  133M 0s\n",
            " 50100K .......... .......... .......... .......... .......... 87%  130M 0s\n",
            " 50150K .......... .......... .......... .......... .......... 87%  118M 0s\n",
            " 50200K .......... .......... .......... .......... .......... 88%  142M 0s\n",
            " 50250K .......... .......... .......... .......... .......... 88%  130M 0s\n",
            " 50300K .......... .......... .......... .......... .......... 88% 84.0M 0s\n",
            " 50350K .......... .......... .......... .......... .......... 88% 35.1M 0s\n",
            " 50400K .......... .......... .......... .......... .......... 88% 58.5M 0s\n",
            " 50450K .......... .......... .......... .......... .......... 88% 48.5M 0s\n",
            " 50500K .......... .......... .......... .......... .......... 88% 42.7M 0s\n",
            " 50550K .......... .......... .......... .......... .......... 88% 53.8M 0s\n",
            " 50600K .......... .......... .......... .......... .......... 88% 43.9M 0s\n",
            " 50650K .......... .......... .......... .......... .......... 88% 61.0M 0s\n",
            " 50700K .......... .......... .......... .......... .......... 88%  103M 0s\n",
            " 50750K .......... .......... .......... .......... .......... 88%  111M 0s\n",
            " 50800K .......... .......... .......... .......... .......... 89%  130M 0s\n",
            " 50850K .......... .......... .......... .......... .......... 89% 97.3M 0s\n",
            " 50900K .......... .......... .......... .......... .......... 89% 40.3M 0s\n",
            " 50950K .......... .......... .......... .......... .......... 89% 41.2M 0s\n",
            " 51000K .......... .......... .......... .......... .......... 89%  121M 0s\n",
            " 51050K .......... .......... .......... .......... .......... 89% 69.6M 0s\n",
            " 51100K .......... .......... .......... .......... .......... 89% 93.2M 0s\n",
            " 51150K .......... .......... .......... .......... .......... 89% 73.6M 0s\n",
            " 51200K .......... .......... .......... .......... .......... 89%  117M 0s\n",
            " 51250K .......... .......... .......... .......... .......... 89% 90.3M 0s\n",
            " 51300K .......... .......... .......... .......... .......... 89%  132M 0s\n",
            " 51350K .......... .......... .......... .......... .......... 90% 70.6M 0s\n",
            " 51400K .......... .......... .......... .......... .......... 90% 97.1M 0s\n",
            " 51450K .......... .......... .......... .......... .......... 90%  117M 0s\n",
            " 51500K .......... .......... .......... .......... .......... 90% 58.5M 0s\n",
            " 51550K .......... .......... .......... .......... .......... 90%  114M 0s\n",
            " 51600K .......... .......... .......... .......... .......... 90%  135M 0s\n",
            " 51650K .......... .......... .......... .......... .......... 90% 49.3M 0s\n",
            " 51700K .......... .......... .......... .......... .......... 90%  126M 0s\n",
            " 51750K .......... .......... .......... .......... .......... 90% 61.0M 0s\n",
            " 51800K .......... .......... .......... .......... .......... 90%  123M 0s\n",
            " 51850K .......... .......... .......... .......... .......... 90%  139M 0s\n",
            " 51900K .......... .......... .......... .......... .......... 90% 79.1M 0s\n",
            " 51950K .......... .......... .......... .......... .......... 91% 73.6M 0s\n",
            " 52000K .......... .......... .......... .......... .......... 91% 39.3M 0s\n",
            " 52050K .......... .......... .......... .......... .......... 91%  128M 0s\n",
            " 52100K .......... .......... .......... .......... .......... 91%  127M 0s\n",
            " 52150K .......... .......... .......... .......... .......... 91% 50.3M 0s\n",
            " 52200K .......... .......... .......... .......... .......... 91%  128M 0s\n",
            " 52250K .......... .......... .......... .......... .......... 91% 83.6M 0s\n",
            " 52300K .......... .......... .......... .......... .......... 91% 79.1M 0s\n",
            " 52350K .......... .......... .......... .......... .......... 91%  100M 0s\n",
            " 52400K .......... .......... .......... .......... .......... 91% 79.7M 0s\n",
            " 52450K .......... .......... .......... .......... .......... 91%  130M 0s\n",
            " 52500K .......... .......... .......... .......... .......... 92% 94.1M 0s\n",
            " 52550K .......... .......... .......... .......... .......... 92% 59.9M 0s\n",
            " 52600K .......... .......... .......... .......... .......... 92%  137M 0s\n",
            " 52650K .......... .......... .......... .......... .......... 92%  135M 0s\n",
            " 52700K .......... .......... .......... .......... .......... 92%  132M 0s\n",
            " 52750K .......... .......... .......... .......... .......... 92% 49.2M 0s\n",
            " 52800K .......... .......... .......... .......... .......... 92%  122M 0s\n",
            " 52850K .......... .......... .......... .......... .......... 92% 85.1M 0s\n",
            " 52900K .......... .......... .......... .......... .......... 92% 71.0M 0s\n",
            " 52950K .......... .......... .......... .......... .......... 92%  114M 0s\n",
            " 53000K .......... .......... .......... .......... .......... 92% 70.1M 0s\n",
            " 53050K .......... .......... .......... .......... .......... 92% 82.5M 0s\n",
            " 53100K .......... .......... .......... .......... .......... 93% 80.8M 0s\n",
            " 53150K .......... .......... .......... .......... .......... 93% 78.2M 0s\n",
            " 53200K .......... .......... .......... .......... .......... 93%  128M 0s\n",
            " 53250K .......... .......... .......... .......... .......... 93%  138M 0s\n",
            " 53300K .......... .......... .......... .......... .......... 93% 56.2M 0s\n",
            " 53350K .......... .......... .......... .......... .......... 93%  111M 0s\n",
            " 53400K .......... .......... .......... .......... .......... 93% 76.7M 0s\n",
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            " 56050K .......... .......... .......... .......... .......... 98%  122M 0s\n",
            " 56100K .......... .......... .......... .......... .......... 98%  136M 0s\n",
            " 56150K .......... .......... .......... .......... .......... 98%  118M 0s\n",
            " 56200K .......... .......... .......... .......... .......... 98%  144M 0s\n",
            " 56250K .......... .......... .......... .......... .......... 98%  132M 0s\n",
            " 56300K .......... .......... .......... .......... .......... 98%  130M 0s\n",
            " 56350K .......... .......... .......... .......... .......... 98%  109M 0s\n",
            " 56400K .......... .......... .......... .......... .......... 98%  132M 0s\n",
            " 56450K .......... .......... .......... .......... .......... 98%  135M 0s\n",
            " 56500K .......... .......... .......... .......... .......... 99%  134M 0s\n",
            " 56550K .......... .......... .......... .......... .......... 99%  118M 0s\n",
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            " 56950K .......... .......... .......... .......... .......... 99%  119M 0s\n",
            " 57000K .......... .......... .......... .......... .......... 99%  136M 0s\n",
            " 57050K .......... .......... .......... .......... ........  100%  135M=0.7s\n",
            "\n",
            "2021-05-25 15:40:15 (85.4 MB/s) - ‘Miniconda3-4.5.4-Linux-x86_64.sh’ saved [58468498/58468498]\n",
            "\n",
            "Python 3.6.5 :: Anaconda, Inc.\n",
            "\rlibstdcxx-ng-9.1.0   |  4.0 MB |            |   0% \rlibstdcxx-ng-9.1.0   |  4.0 MB | #######6   |  77% \rlibstdcxx-ng-9.1.0   |  4.0 MB | #########6 |  97% \rlibstdcxx-ng-9.1.0   |  4.0 MB | ########## | 100% \n",
            "\rurllib3-1.26.4       |   99 KB |            |   0% \rurllib3-1.26.4       |   99 KB | ########## | 100% \n",
            "\rsix-1.15.0           |   13 KB |            |   0% \rsix-1.15.0           |   13 KB | ########## | 100% \n",
            "\ropenssl-1.1.1k       |  3.8 MB |            |   0% \ropenssl-1.1.1k       |  3.8 MB | #######6   |  76% \ropenssl-1.1.1k       |  3.8 MB | #########7 |  98% \ropenssl-1.1.1k       |  3.8 MB | ########## | 100% \n",
            "\rrequests-2.25.1      |   51 KB |            |   0% \rrequests-2.25.1      |   51 KB | ########## | 100% \n",
            "\rpyopenssl-20.0.1     |   48 KB |            |   0% \rpyopenssl-20.0.1     |   48 KB | ########## | 100% \n",
            "\ridna-2.10            |   52 KB |            |   0% \ridna-2.10            |   52 KB | ########## | 100% \n",
            "\rcryptography-3.4.7   |  1.0 MB |            |   0% \rcryptography-3.4.7   |  1.0 MB | #######8   |  78% \rcryptography-3.4.7   |  1.0 MB | #########6 |  96% \rcryptography-3.4.7   |  1.0 MB | ########## | 100% \n",
            "\rpycosat-0.6.3        |  108 KB |            |   0% \rpycosat-0.6.3        |  108 KB | ########## | 100% \n",
            "\ryaml-0.2.5           |   87 KB |            |   0% \ryaml-0.2.5           |   87 KB | ########## | 100% \n",
            "\rxz-5.2.5             |  438 KB |            |   0% \rxz-5.2.5             |  438 KB | #########  |  90% \rxz-5.2.5             |  438 KB | ########## | 100% \n",
            "\rruamel_yaml-0.15.100 |  267 KB |            |   0% \rruamel_yaml-0.15.100 |  267 KB | ########## | 100% \n",
            "\rconda-package-handli |  962 KB |            |   0% \rconda-package-handli |  962 KB | ########7  |  88% \rconda-package-handli |  962 KB | ########## | 100% \n",
            "\rpysocks-1.7.1        |   27 KB |            |   0% \rpysocks-1.7.1        |   27 KB | ########## | 100% \n",
            "\rpython-3.7.10        | 52.7 MB |            |   0% \rpython-3.7.10        | 52.7 MB | 8          |   8% \rpython-3.7.10        | 52.7 MB | ##2        |  22% \rpython-3.7.10        | 52.7 MB | ###6       |  36% \rpython-3.7.10        | 52.7 MB | ####9      |  50% \rpython-3.7.10        | 52.7 MB | #####9     |  60% \rpython-3.7.10        | 52.7 MB | ######9    |  70% \rpython-3.7.10        | 52.7 MB | #######8   |  79% \rpython-3.7.10        | 52.7 MB | ########5  |  86% \rpython-3.7.10        | 52.7 MB | #########  |  90% \rpython-3.7.10        | 52.7 MB | #########3 |  94% \rpython-3.7.10        | 52.7 MB | #########6 |  96% \rpython-3.7.10        | 52.7 MB | #########8 |  98% \rpython-3.7.10        | 52.7 MB | #########9 | 100% \rpython-3.7.10        | 52.7 MB | ########## | 100% \n",
            "\rsetuptools-52.0.0    |  921 KB |            |   0% \rsetuptools-52.0.0    |  921 KB | ########   |  80% \rsetuptools-52.0.0    |  921 KB | ########## | 100% \n",
            "\rsqlite-3.35.4        |  1.4 MB |            |   0% \rsqlite-3.35.4        |  1.4 MB | ########3  |  83% \rsqlite-3.35.4        |  1.4 MB | ########## | 100% \n",
            "\rpip-21.1.1           |  2.0 MB |            |   0% \rpip-21.1.1           |  2.0 MB | #######7   |  78% \rpip-21.1.1           |  2.0 MB | #########  |  90% \rpip-21.1.1           |  2.0 MB | ########## | 100% \n",
            "\rconda-4.10.1         |  3.1 MB |            |   0% \rconda-4.10.1         |  3.1 MB | #######6   |  77% \rconda-4.10.1         |  3.1 MB | #########9 | 100% \rconda-4.10.1         |  3.1 MB | ########## | 100% \n",
            "\rld_impl_linux-64-2.3 |  645 KB |            |   0% \rld_impl_linux-64-2.3 |  645 KB | #########1 |  92% \rld_impl_linux-64-2.3 |  645 KB | ########## | 100% \n",
            "\rzlib-1.2.11          |  120 KB |            |   0% \rzlib-1.2.11          |  120 KB | ########## | 100% \n",
            "\r_libgcc_mutex-0.1    |    3 KB |            |   0% \r_libgcc_mutex-0.1    |    3 KB | ########## | 100% \n",
            "\rlibgcc-ng-9.1.0      |  8.1 MB |            |   0% \rlibgcc-ng-9.1.0      |  8.1 MB | #######5   |  75% \rlibgcc-ng-9.1.0      |  8.1 MB | #########7 |  97% \rlibgcc-ng-9.1.0      |  8.1 MB | ########## | 100% \n",
            "\rncurses-6.2          |  1.1 MB |            |   0% \rncurses-6.2          |  1.1 MB | #######8   |  78% \rncurses-6.2          |  1.1 MB | #########8 |  98% \rncurses-6.2          |  1.1 MB | ########## | 100% \n",
            "\rcffi-1.14.5          |  224 KB |            |   0% \rcffi-1.14.5          |  224 KB | ########## | 100% \n",
            "\rpycparser-2.20       |   94 KB |            |   0% \rpycparser-2.20       |   94 KB | ########## | 100% \n",
            "\rchardet-4.0.0        |  205 KB |            |   0% \rchardet-4.0.0        |  205 KB | ########## | 100% \n",
            "\rbrotlipy-0.7.0       |  350 KB |            |   0% \rbrotlipy-0.7.0       |  350 KB | ########## | 100% \n",
            "\rcertifi-2020.12.5    |  143 KB |            |   0% \rcertifi-2020.12.5    |  143 KB | ########## | 100% \n",
            "\rwheel-0.36.2         |   31 KB |            |   0% \rwheel-0.36.2         |   31 KB | ########## | 100% \n",
            "\rlibffi-3.3           |   54 KB |            |   0% \rlibffi-3.3           |   54 KB | ########## | 100% \n",
            "\rca-certificates-2021 |  120 KB |            |   0% \rca-certificates-2021 |  120 KB | ########## | 100% \n",
            "\rtqdm-4.59.0          |   90 KB |            |   0% \rtqdm-4.59.0          |   90 KB | ########## | 100% \n",
            "\rreadline-8.1         |  464 KB |            |   0% \rreadline-8.1         |  464 KB | #########8 |  98% \rreadline-8.1         |  464 KB | ########## | 100% \n",
            "\rtk-8.6.10            |  3.2 MB |            |   0% \rtk-8.6.10            |  3.2 MB | #######7   |  78% \rtk-8.6.10            |  3.2 MB | #########9 |  99% \rtk-8.6.10            |  3.2 MB | ########## | 100% \n",
            "\n",
            "The environment is inconsistent, please check the package plan carefully\n",
            "The following packages are causing the inconsistency:\n",
            "\n",
            "  - defaults/linux-64::asn1crypto==0.24.0=py36_0\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3UoIHGhtpkGD",
        "outputId": "90c3700e-8c80-47c7-f3ad-928bc72b1545"
      },
      "source": [
        "!yes Y | conda install faiss-gpu cudatoolkit=10.1 -c pytorch\n",
        "!apt search openblas\n",
        "!yes Y | apt install libopenblas-dev\n",
        "!wget https://anaconda.org/CannyLab/tsnecuda/2.1.0/download/linux-64/tsnecuda-2.1.0-cuda101.tar.bz2\n",
        "!tar xvjf tsnecuda-2.1.0-cuda101.tar.bz2 \n",
        "!cp -r site-packages/* /usr/local/lib/python3.7/dist-packages/\n",
        "!echo $LD_LIBRARY_PATH \n",
        "!ln -s /content/lib/libfaiss.so $LD_LIBRARY_PATH/libfaiss.so"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting package metadata (current_repodata.json): - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\bdone\n",
            "Solving environment: / \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \n",
            "The environment is inconsistent, please check the package plan carefully\n",
            "The following packages are causing the inconsistency:\n",
            "\n",
            "  - defaults/linux-64::asn1crypto==0.24.0=py36_0\n",
            "\b\b- \b\b\\ \b\b| \b\bdone\n",
            "\n",
            "## Package Plan ##\n",
            "\n",
            "  environment location: /usr/local\n",
            "\n",
            "  added / updated specs:\n",
            "    - cudatoolkit=10.1\n",
            "    - faiss-gpu\n",
            "\n",
            "\n",
            "The following packages will be downloaded:\n",
            "\n",
            "    package                    |            build\n",
            "    ---------------------------|-----------------\n",
            "    asn1crypto-1.4.0           |             py_0          80 KB\n",
            "    blas-1.0                   |              mkl           6 KB\n",
            "    cudatoolkit-10.1.243       |       h6bb024c_0       347.4 MB\n",
            "    faiss-gpu-1.6.3            |   py37h1a5d453_0        34.2 MB  pytorch\n",
            "    intel-openmp-2021.2.0      |     h06a4308_610         1.3 MB\n",
            "    mkl-2021.2.0               |     h06a4308_296       144.3 MB\n",
            "    mkl-service-2.3.0          |   py37h27cfd23_1          55 KB\n",
            "    mkl_fft-1.3.0              |   py37h42c9631_2         170 KB\n",
            "    mkl_random-1.2.1           |   py37ha9443f7_2         287 KB\n",
            "    numpy-1.20.2               |   py37h2d18471_0          23 KB\n",
            "    numpy-base-1.20.2          |   py37hfae3a4d_0         4.5 MB\n",
            "    ------------------------------------------------------------\n",
            "                                           Total:       532.3 MB\n",
            "\n",
            "The following NEW packages will be INSTALLED:\n",
            "\n",
            "  blas               pkgs/main/linux-64::blas-1.0-mkl\n",
            "  cudatoolkit        pkgs/main/linux-64::cudatoolkit-10.1.243-h6bb024c_0\n",
            "  faiss-gpu          pytorch/linux-64::faiss-gpu-1.6.3-py37h1a5d453_0\n",
            "  intel-openmp       pkgs/main/linux-64::intel-openmp-2021.2.0-h06a4308_610\n",
            "  mkl                pkgs/main/linux-64::mkl-2021.2.0-h06a4308_296\n",
            "  mkl-service        pkgs/main/linux-64::mkl-service-2.3.0-py37h27cfd23_1\n",
            "  mkl_fft            pkgs/main/linux-64::mkl_fft-1.3.0-py37h42c9631_2\n",
            "  mkl_random         pkgs/main/linux-64::mkl_random-1.2.1-py37ha9443f7_2\n",
            "  numpy              pkgs/main/linux-64::numpy-1.20.2-py37h2d18471_0\n",
            "  numpy-base         pkgs/main/linux-64::numpy-base-1.20.2-py37hfae3a4d_0\n",
            "\n",
            "The following packages will be UPDATED:\n",
            "\n",
            "  asn1crypto         pkgs/main/linux-64::asn1crypto-0.24.0~ --> pkgs/main/noarch::asn1crypto-1.4.0-py_0\n",
            "\n",
            "\n",
            "Proceed ([y]/n)? \n",
            "\n",
            "Downloading and Extracting Packages\n",
            "asn1crypto-1.4.0     | 80 KB     | : 100% 1.0/1 [00:00<00:00, 12.05it/s]\n",
            "numpy-base-1.20.2    | 4.5 MB    | : 100% 1.0/1 [00:00<00:00,  3.09it/s]\n",
            "intel-openmp-2021.2. | 1.3 MB    | : 100% 1.0/1 [00:00<00:00, 11.88it/s]\n",
            "mkl_fft-1.3.0        | 170 KB    | : 100% 1.0/1 [00:00<00:00, 21.04it/s]\n",
            "blas-1.0             | 6 KB      | : 100% 1.0/1 [00:00<00:00, 23.99it/s]\n",
            "mkl-service-2.3.0    | 55 KB     | : 100% 1.0/1 [00:00<00:00, 20.58it/s]\n",
            "mkl_random-1.2.1     | 287 KB    | : 100% 1.0/1 [00:00<00:00, 15.59it/s]\n",
            "cudatoolkit-10.1.243 | 347.4 MB  | : 100% 1.0/1 [00:10<00:00, 10.04s/it]               \n",
            "mkl-2021.2.0         | 144.3 MB  | : 100% 1.0/1 [00:36<00:00, 36.81s/it]               \n",
            "faiss-gpu-1.6.3      | 34.2 MB   | : 100% 1.0/1 [00:11<00:00, 11.80s/it]               \n",
            "numpy-1.20.2         | 23 KB     | : 100% 1.0/1 [00:00<00:00, 20.07it/s]\n",
            "Preparing transaction: - \b\bdone\n",
            "Verifying transaction: | \b\b/ \b\b- \b\bdone\n",
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            "Sorting... Done\n",
            "Full Text Search... Done\n",
            "\u001b[32mlibopenblas-base\u001b[0m/bionic,now 0.2.20+ds-4 amd64 [installed,automatic]\n",
            "  Optimized BLAS (linear algebra) library (shared library)\n",
            "\n",
            "\u001b[32mlibopenblas-dev\u001b[0m/bionic,now 0.2.20+ds-4 amd64 [installed]\n",
            "  Optimized BLAS (linear algebra) library (development files)\n",
            "\n",
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "libopenblas-dev is already the newest version (0.2.20+ds-4).\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-460\n",
            "Use 'apt autoremove' to remove it.\n",
            "0 upgraded, 0 newly installed, 0 to remove and 34 not upgraded.\n",
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            "/usr/lib64-nvidia\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RIPliVk4RXTj"
      },
      "source": [
        "# This does a t-SNE on 5000 points, so it should complete relatively quickly (1-2 seconds). If there are no error messages and it doesn't hang, you should be good to go.\n",
        "import tsnecuda\n",
        "tsnecuda.test()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uWmhvhBFUf3j"
      },
      "source": [
        "-----------------------------\n",
        "Actual code starts here:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pbbgByB5SCEM",
        "outputId": "113ab3d2-70ad-461a-f583-b97c334ed32d"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sJwpZuCLsPe5"
      },
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import pickle\n",
        "import torch\n",
        "import torch.nn as nn\n",
        "import torch.nn.functional as F\n",
        "import torch.optim as optim\n",
        "import torchvision\n",
        "import torchvision.transforms as transforms\n",
        "from tsnecuda import TSNE"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Id_VRGT8se0A"
      },
      "source": [
        "# unpickles CIFAR-10 data as instructed in README file\n",
        "def unpickle(file):\n",
        "    with open(file, 'rb') as fo:\n",
        "        dict = pickle.load(fo, encoding='bytes')\n",
        "    return dict"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cQkP_o4oskUs"
      },
      "source": [
        "# creates a dataset class suitable for loaders \n",
        "class Dataset(torch.utils.data.Dataset):\n",
        "  def __init__(self, data, labels, transform):\n",
        "        self.data = data\n",
        "        self.labels = labels\n",
        "        self.transform = transform\n",
        "\n",
        "  def __len__(self):\n",
        "        return len(self.data)\n",
        "\n",
        "  def __getitem__(self, index):\n",
        "        X = self.transform(self.data[index])\n",
        "        y = self.labels[index] \n",
        "        return X, y"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KKiusY5vsp6v"
      },
      "source": [
        "# creates the model\n",
        "class CNN(nn.Module):\n",
        "    def __init__(self):\n",
        "        super().__init__()\n",
        "        self.conv1 = nn.Conv2d(3, 32, 3, 1, 1)\n",
        "        self.bn1 = nn.BatchNorm2d(32)\n",
        "        self.pool = nn.AvgPool2d(2, 2)\n",
        "        self.conv2 = nn.Conv2d(32, 64, 3, 1, 1)\n",
        "        self.bn2 = nn.BatchNorm2d(64)\n",
        "        self.conv3 = nn.Conv2d(64, 128, 3, 1, 1)\n",
        "        self.bn3 = nn.BatchNorm2d(128)\n",
        "        self.fc1 = nn.Linear(128*4*4, 512)\n",
        "        self.bn4 = nn.BatchNorm1d(512)\n",
        "        self.dropout = nn.Dropout(0.1)\n",
        "        self.fc2 = nn.Linear(512, 128)\n",
        "        self.bn5 = nn.BatchNorm1d(128)\n",
        "        self.fc3 = nn.Linear(128, 10)\n",
        "\n",
        "    def forward(self, x):\n",
        "        x = self.pool(F.relu(self.bn1(self.conv1(x))))  # (N, 3, 32, 32)  -> (N, 32, 16, 16)\n",
        "        x = self.pool(F.relu(self.bn2(self.conv2(x))))  # (N, 32, 16, 16) -> (N, 64, 8, 8)\n",
        "        x = self.pool(F.relu(self.bn3(self.conv3(x))))  # (N, 64, 8, 8)   -> (N, 128, 4, 4)\n",
        "        x = torch.flatten(x, 1)                         # (N, 128, 4, 4)  -> (N, 2048)\n",
        "        x = self.dropout(x)\n",
        "        x = F.relu(self.bn4(self.fc1(x)))  # (N, 2048) -> (N, 512)\n",
        "        x = self.dropout(x)\n",
        "        x = F.relu(self.bn5(self.fc2(x)))  # (N, 512)  -> (N, 128)\n",
        "        x = self.fc3(x)                    # (N, 128)  -> (N, 10)\n",
        "        return x\n",
        "\n",
        "    def features(self, x):\n",
        "        x = self.pool(F.relu(self.bn1(self.conv1(x))))  # (N, 3, 32, 32)  -> (N, 32, 16, 16)\n",
        "        x = self.pool(F.relu(self.bn2(self.conv2(x))))  # (N, 32, 16, 16) -> (N, 64, 8, 8)\n",
        "        x = self.pool(F.relu(self.bn3(self.conv3(x))))  # (N, 64, 8, 8)   -> (N, 128, 4, 4)\n",
        "        x = torch.flatten(x, 1)                         # (N, 128, 4, 4)  -> (N, 2048)\n",
        "        return x"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_r3q-ruk9KZT"
      },
      "source": [
        "# creates a TSNE model and plots it\n",
        "def plot_TSNE(network, loader, epoch):\n",
        "    data = []\n",
        "    targets = []\n",
        "    with torch.no_grad():\n",
        "        for inputs, labels in loader:\n",
        "            inputs = inputs.to(device)\n",
        "            outputs = network.features(inputs).cpu().numpy()\n",
        "            data.append(outputs)\n",
        "            targets.append(labels.cpu().numpy())\n",
        "    data = np.array(data).reshape((-1, 2048))\n",
        "    targets = np.array(targets).reshape((-1))\n",
        "    tsne_data = TSNE(perplexity=50, n_iter=1000).fit_transform(data)\n",
        "    for i in range(len(classes)):\n",
        "      plt.scatter(tsne_data[np.where(targets[:] == i), 0], tsne_data[np.where(targets[:] == i), 1], s=0.5, label=classes[i])\n",
        "    plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
        "    plt.title('Latent space at epoch %d' % (epoch+1))\n",
        "    plt.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4DX0FMgFtCl0"
      },
      "source": [
        "# uses GPU to train the model determinisitically for reproducibility\n",
        "device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')\n",
        "torch.backends.cudnn.benchmark = False\n",
        "torch.manual_seed(421)\n",
        "np.random.seed(421)\n",
        "torch.use_deterministic_algorithms(True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i0bydecMs2WP"
      },
      "source": [
        "# loads training data \n",
        "train1 = unpickle('drive/MyDrive/CogSci/Spring 21/CMPE597/Project 2/cifar10_data/cifar10_data/data_batch_1')\n",
        "train2 = unpickle('drive/MyDrive/CogSci/Spring 21/CMPE597/Project 2/cifar10_data/cifar10_data/data_batch_2')\n",
        "train3 = unpickle('drive/MyDrive/CogSci/Spring 21/CMPE597/Project 2/cifar10_data/cifar10_data/data_batch_3')\n",
        "train4 = unpickle('drive/MyDrive/CogSci/Spring 21/CMPE597/Project 2/cifar10_data/cifar10_data/data_batch_4')\n",
        "trainset = np.concatenate((train1[b'data'], train2[b'data'], train3[b'data'], train4[b'data'])).reshape((-1, 3, 32, 32)).transpose((0, 2, 3, 1))\n",
        "trainlabels = torch.tensor(np.concatenate((train1[b'labels'], train2[b'labels'], train3[b'labels'], train4[b'labels'])), dtype=torch.long, device=device)\n",
        "del train1, train2, train3, train4\n",
        "\n",
        "# loads validation data\n",
        "train5 = unpickle('drive/MyDrive/CogSci/Spring 21/CMPE597/Project 2/cifar10_data/cifar10_data/data_batch_5')\n",
        "valset = train5[b'data'].reshape((-1, 3, 32, 32)).transpose((0, 2, 3, 1))\n",
        "vallabels = torch.tensor(train5[b'labels'], dtype=torch.long, device=device)\n",
        "del train5\n",
        "\n",
        "# loads test data\n",
        "test = unpickle('drive/MyDrive/CogSci/Spring 21/CMPE597/Project 2/cifar10_data/cifar10_data/test_batch')\n",
        "testset = test[b'data'].reshape((-1, 3, 32, 32)).transpose((0, 2, 3, 1))\n",
        "testlabels = torch.tensor(test[b'labels'], dtype=torch.long, device=device)\n",
        "del test\n",
        "\n",
        "# loads class labels\n",
        "label_info = unpickle('drive/MyDrive/CogSci/Spring 21/CMPE597/Project 2/cifar10_data/cifar10_data/batches.meta')\n",
        "classes = [x.decode('utf-8') for x in label_info[b'label_names']] \n",
        "del label_info"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n3cNwIIbtAS5"
      },
      "source": [
        "# hyperparameters\n",
        "batch_size = 64\n",
        "max_epochs = 100\n",
        "learning_rate = 0.001"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "etPeS2Wcs-IV"
      },
      "source": [
        "# transformations\n",
        "means = [trainset[:, :, :, 0].mean()/255, \n",
        "         trainset[:, :, :, 1].mean()/255, \n",
        "         trainset[:, :, :, 2].mean()/255]\n",
        "stds = [trainset[:, :, :, 0].std()/255, \n",
        "        trainset[:, :, :, 1].std()/255, \n",
        "        trainset[:, :, :, 2].std()/255]\n",
        "transform_train = transforms.Compose([\n",
        "    transforms.ToPILImage(),                                  \n",
        "    transforms.RandomCrop(32, padding=4),\n",
        "    transforms.RandomHorizontalFlip(),\n",
        "    transforms.ToTensor(),\n",
        "    transforms.Normalize(means, stds)])\n",
        "transform = transforms.Compose([\n",
        "    transforms.ToTensor(),\n",
        "    transforms.Normalize(means, stds)])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4hklDsTvs8A4"
      },
      "source": [
        "# loaders\n",
        "training_set = Dataset(trainset, trainlabels, transform_train)\n",
        "trainloader = torch.utils.data.DataLoader(training_set, batch_size=batch_size, shuffle=True)\n",
        "\n",
        "validation_set = Dataset(valset, vallabels, transform)\n",
        "valloader = torch.utils.data.DataLoader(validation_set, batch_size=batch_size)\n",
        "\n",
        "test_set = Dataset(testset, testlabels, transform)\n",
        "testloader = torch.utils.data.DataLoader(test_set, batch_size=batch_size)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u2ukwCqNsxnt",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "outputId": "8cab1eba-34ba-4e49-cacc-7a0ec43fd2d8"
      },
      "source": [
        "# functions to show an image\n",
        "def imshow(img):\n",
        "    npimg = np.transpose(img.numpy(), (1, 2, 0))\n",
        "    npimg = npimg * stds + means\n",
        "    plt.imshow(npimg)\n",
        "    plt.axis('off')\n",
        "    plt.show()\n",
        "\n",
        "# get some random training images\n",
        "dataiter = iter(trainloader)\n",
        "images, labels = dataiter.next()\n",
        "\n",
        "# show images\n",
        "imshow(torchvision.utils.make_grid(images))\n",
        "# print labels\n",
        "print(' '.join('%s' % classes[labels[j]] for j in range(batch_size)))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "cat horse truck truck automobile deer deer horse cat truck truck cat cat dog dog frog ship airplane airplane ship horse dog horse automobile truck frog deer dog cat cat dog airplane airplane dog airplane airplane dog cat horse cat automobile frog truck deer automobile dog automobile frog cat horse cat automobile frog deer deer automobile horse bird truck horse dog deer cat horse\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Okbjk2gvs57R"
      },
      "source": [
        "# initializes the network, loss function and optimizer\n",
        "network = CNN()\n",
        "network.to(device)\n",
        "criterion = nn.CrossEntropyLoss()\n",
        "optimizer = optim.Adam(network.parameters(), lr=learning_rate)\n",
        "# optimizer = optim.SGD(network.parameters(), lr=learning_rate, momentum=0.9)\n",
        "# optimizer = optim.Adagrad(network.parameters(), lr=learning_rate)\n",
        "# optimizer = optim.RMSprop(network.parameters(), lr=learning_rate)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tUSMJlhpKt9c"
      },
      "source": [
        "# initializes early stopping parameters\n",
        "stop = {'patience': 5, 'wait': 0, 'best_error': 1, 'best_epoch': 0}\n",
        "\n",
        "# path to file for saving model parameters\n",
        "PATH = 'drive/MyDrive/CogSci/Spring 21/CMPE597/Project 2/model.py'"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pZVjrrsZsup1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "aeb01ad0-5322-4229-9228-bca8a3a58ece"
      },
      "source": [
        "# loops over epochs\n",
        "losses = []\n",
        "train_acc = []\n",
        "val_acc = []\n",
        "for epoch in range(max_epochs):\n",
        "    # training\n",
        "    running_loss = 0.0\n",
        "    train_correct = 0\n",
        "    train_total = 0\n",
        "    for inputs, labels in trainloader:\n",
        "        inputs, labels = inputs.to(device), labels.to(device)\n",
        "        optimizer.zero_grad()\n",
        "        outputs = network(inputs)\n",
        "        loss = criterion(outputs, labels)\n",
        "        loss.backward()\n",
        "        optimizer.step()\n",
        "        _, predicted = torch.max(outputs.data, 1)\n",
        "        train_total += labels.size(0)\n",
        "        train_correct += (predicted == labels).sum().item()\n",
        "        running_loss += loss.item()\n",
        "    train_acc.append(100*train_correct/train_total)\n",
        "    losses.append(running_loss/train_total)\n",
        "        \n",
        "    # validation\n",
        "    val_correct = 0\n",
        "    val_total = 0\n",
        "    with torch.no_grad():\n",
        "        for inputs, labels in valloader:\n",
        "            inputs, labels = inputs.to(device), labels.to(device)\n",
        "            outputs = network(inputs)\n",
        "            _, predicted = torch.max(outputs.data, 1)\n",
        "            val_total += labels.size(0)\n",
        "            val_correct += (predicted == labels).sum().item()\n",
        "    val_acc.append(100*val_correct/val_total)\n",
        "\n",
        "    print('Loss at epoch %18d: %f' % (epoch+1, losses[-1]))\n",
        "    print('Training accuracy at epoch %5d: %.4f %%' % (epoch+1, train_acc[-1]))\n",
        "    print('Validation accuracy at epoch %3d: %.4f %%' % (epoch+1, val_acc[-1]))\n",
        "    print('-------------------------------------------')\n",
        "\n",
        "    # plots t-SNE at the beginning, middle, and end of training\n",
        "    if epoch == 0 or epoch == 13 or epoch == 28:\n",
        "        plot_TSNE(network, trainloader, epoch)\n",
        "        print('-------------------------------------------')\n",
        "\n",
        "    # evaluates early stopping and saves the model parameters accordingly\n",
        "    stop['current_error'] = 1 - val_acc[-1] / 100\n",
        "    if stop['current_error'] < stop['best_error']:\n",
        "        stop['best_error'] = stop['current_error']\n",
        "        stop['best_epoch'] = epoch\n",
        "        torch.save(network.state_dict(), PATH)\n",
        "        stop['wait'] = 1\n",
        "    else:\n",
        "        if stop['wait'] >= stop['patience']:\n",
        "            print('Terminated training for early stopping at epoch %d' % (epoch+1))\n",
        "            break\n",
        "        stop['wait'] += 1\n",
        "\n",
        "print('Final epoch for best model: %d' % (stop['best_epoch']+1))\n",
        "print('Final training accuracy: %.4f %%' % train_acc[stop['best_epoch']])\n",
        "print('Final validation accuracy: %.4f %%' % val_acc[stop['best_epoch']])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Loss at epoch                  1: 0.022364\n",
            "Training accuracy at epoch     1: 48.1625 %\n",
            "Validation accuracy at epoch   1: 60.0200 %\n",
            "-------------------------------------------\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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xVHc3+oE62vqdMXuMYN4pd6oNA9SSyNGDzQSWOVE4SubzoBFcF+6Cs9yESZZ5eUcJvvXBhEpqNge8ip2HhLrpdna2RlHhKFPVPYyyLEdGO3/G+zGLmFfVxZ3HXuJD5ynU+jaw2b2P8QMnuWZgFPVJL+JRrqbzw1n06hpYp13FAxo7iJpx3uOqUtng430FPpf7DVQoFD8rSqBVfEvBgJq1zRruaT2ArZeg19EBgRPQTXd3DrknHyQ+/gU6O3OoqnqV+OiV+KxYwSFdMHGN2+juyqKj4xha7RAMxiaQQRbQ2uvKkp0f4BDwLncl3MW63HU8P245SStXcJtHBJLJMk1iaIInM+9NpEB7hK/3b8cg5pPivoB3dL6sKQtguF0BzcajBBndaPe5B1HRg6a/ggWjAnj/cDUhjiqcup2wPdFAYMQp9N2hSA03Msyum0VqLW3t+7BtnM6RoSEc1fvgbK+myjCAQefB4oFNpNTtYdSaXgxqZ9aFJjN7diCOA0+ybecUrv4ihw2zJdpqkpkeupG+vgZuqLsX7bgRvNB1irsME3Gwcfip30KFQvEzogRaxbeM9R1DX8Qt9DaU0uSehNmhhdEJ99HU8A4OjpFo1HYAVFW9BoCQJUrlel7d/wmLorYTG/MsQUH30tWVj17fhCxUCMz4uTuzatY1aNRqRofdSoJngmWWqFAtmrwaXvr6bTSqBaTHDSUo3oX+4myuDi7mlaw0jjcVonIyYkLDIad87HSHSDwSxJMffsZk93SewIPs2g7MAkq1ZkRtJylexxnm9w41++9B5dXD5PAPyckNw2FKCUdPpOFoSgJa6eo3IQJbMEQnscGoZrS5gKOyDcOmx3JzViWSeiYZu6dhCJvP0yNCGB4cQir1aA4c4lHffBICXsfN3pvNeVtpLM9iUqgTafF/x97WMjeyJEmUlpYSFhaGRqP8yykU/2uU/3rFt3R2HMSu400SFryEl+fUM+tdwpedeWw2G0jQ3YFp30pgA53Zmyn18mDLqQRUnpEEOxej1+9DBlw1Y+k07KOu/g10ztl0dWXR4xnLpIArzkxIEeWez/3J64hyT2F7vpY4jxxqa18HINDdHr1dNS0O79FbswCpZTwekpYtLgmE2GzgWfNwDqBBqusEINTDkfsnhdHecxTZJNMR2cgnJ9Io6HYkubKT9MO1SBHh7NG3ohYSk4PK0Lmo8DA/g2fnSPzNztya1kOv02rKulMY8f4qbtu5H9WDMvrrF+F+ahcVNq3oPnDk3kVz8L92HMltrQzN/Zgo1Q5o17I/T5AYOBtnt3H8J6+Uyi8/4ebrrycqKurMMRw8faSNRhkuoVD8Win/3Ypv8dCNJyHhJTx048+7jZDAviUVzZiHOCn2Ejv1Af4dtoAnW3fh2fUHKipepFGMY3PZVDrspoJKhbNzCl1dx2krdSR/3w6Mhh4y8hp4eu0JTjZFkZT4EqfaYrn33WPktcQg2S1AllVU6A1UVvrhlX8Fqu4gpnifYI5TMw+P+oywiVnUe5xEFhITh+YyOyofV3UmHxwpY1bSYtROI7hp+m+ZEhtIdksSHzmMYGvqIxyaGE2orzPxngXMD38ZkwQHspIpd0mkN3oYZTWT2NT7V/424zH2DYtEO72H2pCvcbNZR13ii6gj32fHXcOZefNSwvRxVNYOUNFyKx1iKbjNINp3Grm597Oh6hB/bTMw9OrrqBywo75xm2WQGd+ejEOhUPw6KS3aX7DB8wj/mAkhzkelsvlGS/ZcuvdlUrP0UfxWPUdC4kg8dONJN0OJtpyWnm0A5HYcJDDmb4xNnE59XQtDvG9k997f0l5WhWvwxxQeD6K3KZ1ZPVp6qwbwSp7KBDczK24QHCxrp7gxnc4OWxAywf01zGw5ieOMXMJ8TiGEZYAVgJ3o586QzxkRtgczGrIDk/Hq/ortmQ54O1Tw8e6n2ZKfDsBodR6P9b5KX9k9lJs05LTG8FL2neS1BBPs6cp/GnpwbYtiyucr2XjHAmxt+1lTFcKIyNmEyv54pN7NiXfd8Mk5RPaQHMjYh81ue+LcN+GijcbdJ5G0+AfJLGkkLnY17h6jcHXpx9zYxytfv8X9yevQJL6Eq9tkJJOZ1TenKPMmKxS/ckqg/QXr3pdJzZIlZ0b7fhez2UCrfi8euvGoVBcflJ3GpTF01apvBHmT2UiPOQbIwMkpgXRyiAt3pqf7CJWVr1LRJ/j8kB+JzWPR9nTiFR9EaOJQtqlUXJEeDFgmucip1fNG9hboCWVWaDUzQrbxtXM63ZIzyb5HMPa4oXZop63fGZ19F9eFHUDnWA5AFsmsEst4yGk5wzgKMnT1VBDhZUtp8wBRY69if+derhzyNrIQ7Nc/SmzQPAoqM3jrOPxmchjXRMis8L+NzPBJxHasJNp3OrcdnsErE1LJzmynNW8i7eqJJEa2M01jxjSiD4/YRIxdKWTu348eZ/60o9Vyhx9vW6a6aTlV1sMk3ygiI1fgoRvPjsJmHnj/BK8sTD3TbXypupJNkpmqfD2BsTrUSpe0QvGTUwLtL9jgYPd9WvV7yc29n4SEl763tXohhI3Nt4J7RfZxdr28jZF3j6C7+yjBwfczxGsy/dIA1V5/ZFjPaJJqd5J4jR2RI0LIL1zK0IBF2AXNIbN+B9F2Zgr18agcinAa+g5TRBQz/LMobkzmipDtHKgfj37AHp1jO/o+V9zsOhACPJzKkWUwA7HmLB5SLSfenEVLcSItThLD/HJws/sXXX4PEeuZg9q+jH6DK7a2ndyVFsDJ+hOMdH+WIZP+yMyEOgoLHqG2+w7mSRXMSLqFFK9xSA4VDAt2xz7Ug40D/djVHSHC1ZOMzbbESc/SHFROXMJwhgZYbjqv824haECcCXo73yhEyI58phrgvrka0kI9eGZsJGmhHoAlyK7KKOblXSW8esvwi5pR6/R80FcuTiAk0fNi3maFQnEJKD93f8FOB7sL6Ta+kPOugxlNRnZV77LMNzyIQTKzJbeeLSfr6RkYYHvFDractEw2EZw0jMn3XUGvdBhn5wQqVJGYZMHGmhP8sTmO/QPHsXdfj+T0T7q6s/H0SKeq6hW+2P4y6w49Sn7+A+ze+jgRjvGM8F5Muv9JCuuTMB+eTfuALWl+e9DZ9gGgs++gSbJcowtgFk4IoEfyZZg4io1KArMnos0ZlQrC3SoIs/sH+pavEYCtbafl2t7KoxyuCeLVnNuQTEbyWsJ4MetOTjbHMnnIGEyOI/nr/mI+V/fzWn4Vao2KgcYNBL38b5p7S5lxtUTCDQ+REPMCQ7wmERUVhb2tlnBZy/bX8860LKfdHYNpQh+rT5jZUdhIQ1E79ZuraShqByzna9fsLuauRFsMRuNF3Vg+MFbHlYsTCIzV/eh9KBSKS0dp0f6PuJDzroMvQ8msz/zWvWNP3/911QaBwETayAxaS45R2j+HFbNvRGM4wFBdN9TKdHZlsa3mMWRhx6zA8cAhZvrNotomgCpzBtXVrwMq+g3zGNGl44Tdbbwh1nGXcTNF7dewxT6NCK2aVP9naXbuwMOuH7NwR9CGGTeKO905OlDJzZ5mhHBCTTcy4K6tPhN9jbrjRAxpp7F/CENsmnBxakFfY48cCG2SL64aR0Tvu9j0HEeIVMJt/o2hz5GR0ddyPLOM/6tuoF6vZkRFFg+Hfc0UaR47cmzYdNBM04JZXJnSj3tAGmszq5kj1ZJd0MTIEB2HCzczJnoG6XfHUSKM+AORSR50tXTxsnACGXyi3XC8IxyfaMslQBMivfjbFC8KM79mc95+bFV3MDUh4Ee912qNSmnJKhQ/IxfdohVCBAghdgoh8oUQeUKIh6zrdUKIbUKIYutf94sv7q/TN6Y8PMvZ92P9ofnPRZIkTp06hSRJ33hcUlLI1m3PUJifjWb/CZaP/dc3pgrcXbObdcV/5eqJuVw1MZ/m4iNMOubJ7Ro/Dud8jtz2R2pq16HTpdOsHcbOLktLW4UW595QDtTvp1JTy9KNCciu/yAh/gXiYxIITHuF30wbwlSv69CkTGVGtMwr0f4kOY6mz+RHXc/p34OWiSBUcjtRzuX4qmZxrCERWe4GQAhQqUCr9aRH+LNf3Y4Q4G3bhBCACkICq9FLfrir61HLJaiAVO98RvrvZUeXii3Venq06yHclnpHFY7delJ9YrnCeR4xiTNozNjF74/8B8mhjNq61/hs77/Yc/Iriose5MUt7/LBzneQ9H9izVdP0lCzkcc355OR3wClGQw79BAfTdST3vgaO5sb+UNXCxmtekqPHUKNibmTUpmXFsZzmhdwq9/zrffcYOglK+ttDIbeC3qfFQrFz8OlaNFKwKOyLB8XQjgDx4QQ24DbgQxZlp8SQvwe+D3wu0vwer8633X+9PQlIK8sTD3vebsfev61tLSU9evXMyE1Ga+gED7+5FPmz5+Pm3s1MbG7aCmxw+P/tqN64j4Ghqazcvsp7koL4WhFMzIye+o/5GHdHZT7JZBT78NkQwM19a3gDT29ycAOvmy24ebYxYwaMop1Ge+w4mg9qRHvcIengVWzFjAu4fdoVBKnDk5HCGiqf5kQmjCpoax4P1qnv9DR/AI6u3YSvEHf74TOvpaBAScMKiPFmgTGDrGjvSUImRzMwh/Z7npE/0dIxhqcBMzzHoJsakKYwdjnjr3RBcmtEk9NnWVaSGFp/HZJIQzzsAym2jFwnDc19zPSew8H5En0ObmydUCPymSPNiOf8pYyiqY8zMZGe6QGmW01qTjbFPOv8kdJCeyhqqYBZ5tong2cy8LyXVSkJlPb3cNWk4ax175GQ1k20TkvoOqtxbm/j57esXz53mauefSPhKWOIm7SfLJQsXCHIy8Mbf7Ge56f/zHNLU+Snw/Jybcq1+EqvtOxY8eGaDSa14F4lNOEl5MZOClJ0t2pqalN59pAyLJ8rvU/mhDiC2C1dZkky3K9EMIX2CXLctR35R0+fLh89OjRS1qen4PvG/H7Xenn+zI1mM3s0ncxSeeMBulMfuB7RxdLksS+rzdx/L11BE+9kdyaU8yfP59GpzpeP7iUO1Kewu54Me0JUbyx24ns8momi/VkOiahGbqBlIpw4ov62ZHShFtgL3d4DfBu3h14G/oZPuYGTtXvYX2xnvtTfNB3DzDS/Xm+rphMaqgBH/YCgoT4F2nvOEF19WtoNG5IUjuybAl+AJickFXdZ+ZJRoCQAWSOMYKVYhlX1m3hJp83kYHGjmvIbutmekjGmW8UnccETM0ddFVkYw61rBNmP443uZLoXYBKZdn3gMkNG1U7EhpOMIz+Xh1a+w72V46m2j2MZjcfBGaml23hLyW72Nz+O/pHFpEctIItFeMZEtTNStVvkRGAzMqCf1DoGEa3rTfBjQ00h0XxquMw7jeX8ooI5bXOjWg91DxW9gH/dh9LmO9tBCcmo67cA2FTMaA5854bTUZeO7aZe1JnoBUm8vM/JjZ2HjY2DmzPb/zeH2GK/w1CiGOyLA8fvC47O/tLHx+fGC8vr06VSnVpv+gVZ5jNZtHc3Oza0NCQn5SUdM25trmk52iFEMFACnAI8JZlud6a1ACc85tACLEIWAQQGBh4KYvzs/F9Lc7vOn96+p6uZrOBxsbd9DTEExTnza72Lu48WcGa2AAcBnJI85tAr0Hwnz1vEqZ5itjYlfj6XEVvXwc7dv+LMUMW0WKop1rXgWdTGSE+M1l1y++RNrUREhtPsN9QPA6W4e8xnWTf0bwfWc6aI3+gt3Uh480ZLNlUCdcaUQ1cQ2zTGJqHbaVZV8kVx/vY6zOBzJY4zLKG9tI+thUEcl20iXDtU2zrnECbYwAzQzPOXPcKMkapG7NZRgZsbPyxtQ2gpycXAK1wxahqRyDODHY6HWxlWZBIFkvk5djjQXPhVHpcmwj2/QIfN8t2di0m+r3U2NoFU+cSggjNPnPRrayuJ8mnDlnGMgczYKOyDEjKJYnV4lHCO0spcQzjJsf1dJ1wpS3YnmC5nCPl4bztVUm1Qx/LxvvxYdYSTJ6FxIkDPCS9QLE6kI3iWvYOTeIT56sxCxXj3YvItInAjIxjj8SI4n0MHZdOdEoyK7pqGXNsPW0OJoq/8CO84BU0N72NTdSMM4HzpcObeb3ocQCWjtxqLD0AACAASURBVJ1NcvKtZ47ihEgvXlmYqlyHqzifeC8vrzYlyF5eKpVK9vLy6mhoaIg/3zaXLNAKIZyAT4Clsix3CjHoa1WWZSHEOd9sWZbXAGvA0qK9VOX5OfmhI34HO32z8Hz9SeT6NdTsu5e+gesxO5h52q+NwqJi3in7B89Pfp5j+Z6YWr9E9pZpaztKnn44PVXP4qj5lMadvmTnVXAyYR+TE9p4qjGc/TpvOtMdGHf8MPvXm/Fd+TjOo+HfwLbancTYX8vRrkhadBWsnNWI44AHTQ4DbIt6i8AYN26rcGfiFiNbb/BDyBru9ddxsKMPtZAI97ahrn8EVwTvRpxp64GNdghGYxMF5ZuQHJfR1L0BP/IQgIduMppePxoNnSA2WFqzMtZwa/k8CeGAWu5lGEdR+YHZF7xO79z6t18XDZRSV/suDeUj8A39/8dTlmW6qhNwCcg9s39JaNgjJTNWk8uU+i85UOXEWEqY4r2BwJHRDPEOZmuTK0nyG0SH7GRzuZraqgwqpJvZ5nE7fnIzV9TtQB6axu96nybCMZeIbsFJ3Vh8TZvYy0OAipP9TRwZNoGakGASbB2ZMG055fYNVJh3kd84AaGbSFTFPggeD7ZOANyTOuMbfwc7/SPsQhkMvd9oESt+9VRKkP3vsB7n83bPX5J+eyGEFkuQfU+W5U+tqxutXcZY/56z7/p/wekW6w+ZKOL0AKfmFsst697IXkt+yUg66iN4/+huTm5fypDqe2g89QUPq+yxq3+LOJ8vGeadhxBwsqaQ+z97B7PnAqo6J+A2/goqx3tzTA7hUH4S4yv3E2EuwKf39ySNqGbM9ZNwu+tO5hwSLBmYzATXxzh8PJUQyYYra64lyWU8Ub0343nYTIka2jt2ExVRy+d3+NAVPZtRaLi+1ohDXS/XxVQQbfs0gQ6HMHZ7W+KfDGYzGIxNdJqieWjTdIwD2fg5tWCjtQSLjmZP1Ac8MUtfWeOmPYA1TFtiqUyvtYt3OEZZgwkNx+XhVPe5nhltbBbFDBhT6S+eSlJ3LK6mxDPHVZgd8bYpsZyftQbnbJJ5U/tbDlXfjqaiBxF6kuxKDW/mLCDFvow82yq2OMiEDJTS0hbMoZph9HYFMU21naXychLJYpvb1bygepQC+wiKyyPxbujh+aQUxrjN5O9eDVzRcpK/F65knXsrU73c6DZIPHNiLyUU0t3tz3DnAwS1Z8CB1bD32TPltZXVXNsSR8PXuzD191/Ep3DwOd6PL2o/CsXFmjhxYnhLS4v6h+SZO3du8BtvvPGLHFR7KUYdC2AtUCDL8nODkr4EbrM+vg344mJf63/J6e5mAZhc/0Zz3mj6d+jpDDlCuLSJlPgskM1MDj5Mo28A7V37KaxeS4eIQ0bwWakTdkPfpdyQQeaJozzX8gk7+ncwsjOaPKMdhTo1ZSKSMM8RuDjspLb1bXKnXE/LY09y0jeJjYfc8XZ2pFxjpjUkm5hRm1GFbcIQ7465K5bTUS1bjCWnchtj0so5mJyHW7QDt6T2WoKiDD12fsiAvsvZcv5VFuypCKDfbMemwiACht6N0diEbDOZB3eNpDVuGrLjnzBpxiOJKQBIaDhiHo4kazBjRw7JrBTLKBhIIJdkVqqW0eSy8Ez3sFCBSnuCvIg2auLfoV2di4duiqVMqh76vPvoNkWyq3wEHT3O5JwMxeFEE41l3egjBujyWspNU69jaZyBgxSzrtWBm5zKaNY54K0rY0ni6zg5l+LtWc8wjqBBIt4pg+TGo2xQzaHbPgjPkI9pPriWpAAdbY1vsV0Xwxbd7UyKHY9hYIAHvt7C893efDxwP/vlRnoCjVQkJ7LVI40er3i25zfSMzBA5uf7UGfWk7VVQ9WO3d8aYW6SjJQeO4TU20PXjp3IhvOPPI+NnYeX51+JjZ13uT62CsUF2b17d4mnp6dp8Dqz2YzJZDpfll+0S9GiTQNuAaYIIbKsy0zgKWCaEKIYSLc+V1wAg2QmuyaUENNiPFzSmBR7Lb8LmU7QTbNISxhKQOxBTP1ulparcQwrxDJySMYdb5zN+dQZ5+LmeBt91TficbybJZ+D6rNq3B2TKHWoI7ArhmvaZJaYl1PTlIlRvopTbbO4b30ut52yA42W1Tel8NCUINLDirAPtcMM1HiZmRPxBgt9TlHaY8OOdi3JLuXcl7SOKIdn8PB8jqHa52luWEdhTQj6MieKyiwBWThEA1DaHsCMkAzujn+L5tZtVHT4ISMwasaxZuIJhk/0R2XrgjDsRZg3AnDEPI4XVJY6quR+kshiQdtrxNrmECtymSV/xjinYiQ8OYYlIOdap2I81jUNgYydvR/u7hNpMcexuudB1KoqpoQewc2xk+neB0kSRxken8VonR6VEIS61/MO15BdlcR96kOkd/2Fgj4XzDLUDXhaWtkynI7uTq1mlnYVclfzB6T4bENCw2f9TrxRPpTqPT6EVpXx7/oE9hTX83rmcrY5+nANnxJv0mLXOwOfKiMl9vO4M/4fvFZgxwNvH+KVo5t5gPcoTpRISDfQH+BHU/MucnPvp1W/F7DMxvXls/+k8IP3qVmyhO59mef9XNnYOJCcfOs5u43l/n76tm1FvshWs0JxtvT09LC4uLiY8PDwuGeeecYTwN/fP6G+vl5z6tQpm+Dg4PjrrrsuODIyMq60tNTGwcEh5a677goIDw+PGzNmTGRdXd23TnE+9thjvvHx8TERERFxN910U5DZbLkUbuTIkVH33Xeff0JCQkxwcHD8li1bnMAyAHTx4sVD4+PjYyIjI2OXL1/+X73Q/KLP0cqyvA8GjXP5pouf6+9/hNFkJLMukzS/NPYU6Vm78mP+cuQ9Ov48DI2njM9z/0C77ElWtxZwd5JgU9kYUkP2E+dwgCVyHwlkobaTQMBXdVkcPTWMGSP9WdH+DPOnjsG7vo7eo8lEGa9ki3sJ/s0Cn0wX7O3mUJY5hIqoVlRC4proKnr6Y9he2EZD03buTVrLKzm3cUC+FY1dDbZlkxgbugtdawCRrpWo3I5QVTsDda033qmZjPDNBhmi/MsRMsQNSBQ3LWaIczHCHkLdqihpC2aETzYjfLMxG2/ipazbSVTtY0L8DnIyVQwf/QjbDyfgIudS2uXNCJd92MjdRJvzkVWgQWK6+3YEkC2nsEFcR1j7ciCYlWIZD8nLSRENLJWXk+CShRENG2oLSZCz2Kmax0GniTj3dXOr3RuAwF4tc2/SWwhkAgudedjnAHXmTD7XPooInkFIYz6vVd+CUEmAisNNwxji1IqvYzMyUNQYQZR3Ke3JM1hX60l7PTSqotgzZBiq3j7Gu0RRHBzBqJAWqjo+IFz1AQ+2leDR5cwXtmEc912I+8kegot2cIejmXEr3iTlN3+gI3QKekMQA3FByG3NfLR+PdePCyYhbtWZ8/3BScO45tE/EhQTT19w2AVNx3ku/Xv30JqhxYM92E+bfmk+1AoF8N5771V4e3uburu7RUpKSuzChQvbBqdXVVXZrl27tnzq1KkVAH19farhw4f3rF27tvqxxx7z/f3vf+/39ttvVw3Os2zZsqZnnnmmHmD27NkhH3zwgevNN9/cASBJksjNzS1Yv36965NPPul35ZVXFq1YscLT1dXVdPLkyYK+vj4xYsSI6FmzZnVGR0df2OQDF0mZGepnwCQZ2bj9bf7WsJpnJywntU7AA/PwKkqlN0eDy/XhND32V3pHOTDn1NXUZNpR7nKYbRXhTHXoIKU+hTz7OJp99lCjqaaUBm4IPoWbzWy21C1knY0/owOOMxAwnqLqXuZM0HBKaqT9RDs5ug+53v/3fJzby/TwEmb4v8KWrDwyyqcxNVhD8cDDqGlhCIVcG32Q7JZgzJiJ9KykvNODMJdWvIOjcQr4GqNchCRrOGAcyRjtYXoaVWz1iWOD/VQiautYQBTBdsXo5VmYbHLQGPei7v+ARaNvpKh/NFJ3C/cfjuIp3XbcyUd2HEaw80yifVwQpa+SI2JJkLPQIAGWrulYcrnSvJVYVS5emiiQlpMoslDJEgk0kEMyklnFatWjLGU56ebPQAXX2H6KTj8E5+4KREAV+v4hbLefymyf/bi1b6VUBDCrpBJX9zYWGv7JY+qH6Xez4VBDMhphwNexGUloyDYnY7QZhc6jjBFGPU80r+GwTwx7RQojqo4zeuguHLqNuNdWkWu05S9Bs5g30M9M1/fZJ13DUa9kIuUCtIHe3O9yL0KGwFHN9Dg5cbeXG29otUzSOaPSuXDDuHDC9i5F4/8WeH/zfP+55p6WJTP9RW3YRbojvuc6W7vxE/BgD3bjJ1zaD7fiF2VAMoktJxtcroz36bTVqC/JQKqnn37ae+PGjW4ADQ0N2ry8PLvB6b6+voapU6f2nH6uUqm4++679QB33nln65w5c8LP3ufmzZudn3vuOZ/+/n5Ve3u7JjY2tg/oAJg/f34bwNixY3uWLVtmA7B9+3aXwsJChy+//NIdoKurS52fn2+nBNpfOdlgoGPPbg5799P0n/00VuRxVVI8pv1HaXjqPUatWoXT/En0J7WxxzjAg7WV2B9+l9uC/sx2uZda10LsWueytb8Zm15/brfXU+9TwestWpLax3Bf02Scx/hgFFdQ3XcMlYhn/5FefjetjTDtvxmQHuMDF3vaG6/jgIsrIVI/LR39CMzMDN3GEJcSUjwqaDDNY3HSJ5Rv9eNAaTRjQwtRWfsvQpxbAWhtewdbJ8s9VXNI5nWbh3CUlyPptGwQ1zFCPsCEzi6OtSZCzLV4uGhZuuUqXrgmENHzLuq+99G261C56XlyfAJjo5ZSmp1IU+8JNGRx6NBwTD12rAhcxg0965jpaJmvWBIavpJns1k1nQg5F6/6Pib6GUHMoXCfHbXxTbzgcAcP8CwL29YxWhzB4CqYKzagwoB/QykVbjfwH7MH2JnZyHU0uPkwxi2Td8RtXBOynf/optMl38BR1WhkVATLlST6t1u6p8VMVqpuYcLAZka3bkalM9DuqWGTmE1CXxbHA1K4pfJLhkcEM+CYyv7cagocC3nPcxajqrK53ZxBjkcQR1RjaGs/xku1T9Jp74ccfRP/5+1MbGsHkz1d2F29A6R+Yl2K0c9agmfIeITBQNeu3VRUFXG45GMmyX8nfHjaN26d2F/SReu7BXgsjME+1uM7P4/Czk5pySrYcrLB5ZEPs8OA0muT/Tsudn9fffWV8+7du52PHj1a6OzsbB45cmRUX1/fN371OTg4fOfE3oOvYAHo7e0Vjz76aNChQ4fyw8PDjY888ohff3//mX3a2dnJABqNBpPJJABkWRbPPvts1dy5czsvtk4/hhJofyIde3ZTvfRhDo8LxE6vos3ehOsJPatMn7Fg+lWU2HuhqdyJMEdhlEwENNowM+hxDJKB2qCPuKO9nWy9iaOuwWRErKC56k4MVeGoHCrIdjvA69o0xtobyGopoVB+ESEEi674Czk10WxquoOTLUMwyX4A2BlNTO1TUW9U01o4HV30VlI9yynt9CbPHIhesmV4/FW4uzhwvFFLqk+uZbpDoK5nCCfK0/BL+AyARLJ4yDoSFxuYJX/GV+I6vHUNzB+yHtl2InL/bm4ZcyPREUt4alMHtU2uuHm4k+CVQ2RkCjkHnqFHHAd1CgXtgUS4b6CRMCY1biDdKwOzDAgfsuWhbBBzuEb+lH6jDX/1epSHjMsJluoICO7B2z6HG1sGcNHKjHT7mrp2TzxpRZYHKOoYRrH/GA66mfiadK6SPyWqL5cj9mOIai9gqe0aYnWZxDeVccLbh7vkF8mWU3HqamSl6/3MabNnyCnBbUM34dIVwi77mcxsscdB28YfxFPMLTjAm5EPcUX1MfR9vQwM0xM85gCGiitQecXiahuEf8le5qt3orM3sTrwZp7X7meoYSWhbfa8ml+OUfcgu3vN/HbPw1zpZABXCSEEiW0jsMuzoXbpUoyJZkLukXAOsExDOfjWiU4TJuKxMAa7yF/kQE3FT+DKeJ9OoNT696K1t7erXV1dTc7OzuYTJ07YZWdnO35fHrPZzBtvvOG+aNGitjfffNNj5MiRXYPTe3t7VQA+Pj5SR0eHasOGDe6zZs1qO/feLKZNm9bx8ssve1199dVdtra2ck5Ojm1wcLDRxcXlx9+94wdQAu1/wblmfsoKMLF3oi+mISMxunfydfA2vDrsSe+dQGNbMEXvvMW+UVsJ6U4jVPZnRtMhNDuvZou7JxEhaeQ0u7PfwQbJ2A+188lx7CbWoYLbPY282QJNXuX89sCz9FTfBMxH65pHSZUn2wsaiQiyDOpRC4mpIWXsLAvFNegUc1PXUbP/HopLpjA6YgfhLo0UluWQ1XwT1w4/iYfmACYnONGYQIRXP46i2HKeMqjkTF01SKRyBNl69eucri8JdS6hsdsRU8D1aA0f0mL2Y2PzZwy82MA+v0OYpVuI7C6kX9pNUfEuDlSNYUyQILc7G52rioz+G5nq8RELTK3YCEu3cb+hjURtCw+anyVFzgGthL3wwLevG1ebo2ztHku6kzPechi7KwaITjyKYcCPgOoaMsPu4+9uVyNj5n75OWRTN6PkXuZ4R3GqfT2xRkc0Lp/iKE3j44Cb2Wx0JkZdR5HJByOuLNC0Yqv1Z/iYHZw02yOpjKyTbyNHlHBEvoG/N/2DLKdEVrtPpsNfRUrOMPRHtzDKx5eC3rk80fUOkk0FT4fczxr/2Zy+AM9ZryehqgvntrdZP+YFXmhzZ42pkX8PtIO/LbVZXnRrg3GWm0lKm4fPc89R3t5MXLQHXl6WbuPBt040AplITAAu/g7Eiv8Fthq1fClasqfNnTu3Y82aNV6hoaFxoaGh/UlJST3fl8fe3t58+PBhx+XLl/t5eHgYP/3007LB6Z6enqYFCxY0x8TExHl5eUkXss+HH364paKiwjYhISFGlmWh0+mMmzZtKr2Yuv0QSqD9LzjXzFBJ5eCxux7Dn6KIuPZaNEdSUfUfwLvTl4aCryj2iCSkO43FUVvZ0aEmIzoereMuIjR+zI7axjpVOlr7Ddgg6KtZSGe/CX8bMwKIsfMlwnseO7LtiXFJpcjwGVqXPLqcP0DrFEyTwwc8ePVfibMzoe58mcauO6nTjuTVLDPJxmRyegyMkqGkPRij7Y3cG/slOnUmHR0e1PZ5keJ9EpWQ6e/wZl/FWPy0dfi7/P/6nr7u1Wx0Ikc1HCP9eIb0UdRRSaydGQ91DUvshxD+5WGcZqexVu7FJmgXyDJCgHOfloPmGxhu/wk5ZhXv2V3HEFM7yarNgGUCCzvtAAbJjuGaw5bWtWRiuOZLTDYyx5qSmBKyHxlIdXidWJ0/p/RxRAzJJVs/mpHqKu5o/Qgn53KSOM4Y9UHLPmoPkeRUh0o3FLOAfPuhbDY6gSxTYPJhiLmLLNc4siQQTuNpNjfzlbiOJab38KaOw6pIhIBu1/mYCtZyV/N61oXcRERXD9U+7ni1evFpkhs9zUFs9FoIQhDaU81tVR/yVdhNJKXdywkHL/qLvmalOooHKt8jPWUkmgkv0eQoU9bczT+9o7HLamWNdzM+mhY2nCplljtsajrFnJhIDnf3M2nSRIxmLtn9bRWKH8ve3l7es2dP8dnra2trcwF8fX0pLi7OOzv99ddfrwFqBq/75JNPKk4/XrVqVd2qVavqzs53+PDhU6cf+/r6SqdfR61Ws3r16lqg9iKq86Mpgfa/wEM3noTYVXi09IKbATQ2qFVqNGaZIA9PnDUa0vIPscRmJ4vdXTkV7EHaqHlktHxKRpeKdDeJqph82kpmMWJAhxAypn5PkjQTmT/+CjSGRF7cWcym8jII2c32jibC2vfy3NUL2JhThbbTQDkyhd0HuG9SOjG+zyL6opgY6UlbmxsTjL68vKuU+V5wndtJKnqdqewdTrj7MYb6VbIrr5soJ3Bw6aDPNQQ7hxQGeo9j59rI5NQm1B2lgIyMwCyDSliuff1cczVf2MwBLHMYp+lXYtM7hGDbLlwD9Hz82BVM9NhGev54BnI0FCToiPFqoNMzmZfV43hYLrV0RUsbkEQLrT1uuDp2k0MyiWSh1kgck4eTpMpCq4GBTi9ULnoaXEZT319Dg10I8RRgr6olSleLhIZKDy2ufbu5ckCmReWJjaNkuUrHDC59FXQZojEEzEHV8yzpuS+jGzmcgx16qmQzoSKDtTwAqBguHyS1+QAxHmoOilHUqwIAM576eiYZc/D1yMHGs4oQ/QDHfcL4yPtKjjoFMq1lL5uGjMcyUF9Q5hjIc2F302HrxvycU1RoxpDuZUYgk9hdSEejHo/0V/CWYK53JkMiAyhw0zFalYPNvqU4meZxrKiKxzWxFOQW836PxIOOjsSX7uCNHG8WT4hCMpsxSOYffuMByQClGRA2FTRKm1ih+LHUTzzxxE9dhjPWrFnzxKJFi37qYvxgRpORvbV78XfyR636/5OdmCQzlSdbcfV0xLGqkJZVD/KefRh1jl5ERUVgFxdHvZ8vqpxc6le8zcy48VyRMobrSp+lxN+THYaN2A34M8y1Db0E2ZpKbJ2aiXDV0yIJ5gRmYu5zpaGjnZZ+D2r687F3rKTZpKKyOooQ11DuGdFImHiJyf5TmBn7G2b/P/beOzCO6l7//sxs7yvtrsqqS1avlmxLlrElV2xjG2wwxbTQQy5xIEC4F7gJJfemEEILYDqEXkLHvcoFW5Ztyeq9995WWu3uzPuHbEISk/YmP27u1ecfaWdGs2elOXrme86c54k/n60nJR74tJKmvkFS/YtYlr4EPafIDH6cseBCBsxFpJvakWVQKmTiLAeQhVBKhFk8IdxNiOdLvGNTVKtT6JICCFCVIp61ZRKmJaSE2fxWvJEs+RjR3aWECd2cJxSQ4OylsTScUstcXrV9B3o9jB018n33MKG2FNpOOsl541NcsR6CFVqKO0PQhV/DU575xKuqqR6P5znNZnQeM6MKkafEu4imgSChA1E9TrFiHa+o1qFTTfG6cAOW4R6SvLVMdSdQOpDPY7Zb8Mois/SVuMUrqOyZRCuPoNP4cBsUOG1zGFbEMjV1lPcUm8Gr5eVyC3XBEaT3N7J+YCsunZEbFU+xtLmRhbXHOWQJp0KbyLzJQupN8czr/4DZ5ni8oyrc/WMETnZQbYqkWj+LOkM4q6VPCRx206IJAgHcSi3IMIQaEGjQhxMx3EqAuxnZfgzLiBupcpLOH9xB/7wcHnBLYI0k0bCAqrhgLk1IIkTr4JaEaPxbSqjbuZORgSGuS1ERHJXAh+++QoPXTmKIni2nn2HIPUSEOeIPrtVzUrsT3r0anBlgj/1ndZ8Z/gE8+OCDnQ888MDzX9/W3d19e1BQ0L9cpuJ9993X9W234e+hu7tbHxQU9Pi59s0I7T+Ag+0HuWPfHSTZk4i0RALT4vv5/v2cfL0bw2ADOh+8WK3gZ8l5fN4/ymw/E0qVyHvvv4/GZuVkWx0BuesJyFjEx742clNy6Z/0w6Y4TJRGJkot09CdS4BeJtrczdGpAXxTAYSpj2EVCxj1dqIyH+U6u4exqbmYhYu4b1UyTns0suxhvPddkBbQNOTHJ0ffYUHEOMqprQSIv0OSp1iceTOFjT0YxAr0ChmjAqbkMEplDQ56GPHFEiYUE0UD6RTToErgSeFujpFGNPUEyR0U9yRxoi+VUYuNaE8VSqXEfmEZGYZS9qpXMFdbjrc/gMmpKWZHnCKKBvIMB3CZBRzzqxn3a6Jl2AFzTWTE7idG7yTUvJ9Efyv+fnNJcbcxqOjiGLmUKqKZy1EC6EYnihT6FjBLUUUA0/PFq/mUFI2HuYrtyGoQzQPU9l7ECVsQ1SQQ5JvFLF0RAYYSahQXYxer0HoTkSfy2F98kPqp2bwWdAGHlFY2WMppnDhFkW0DJlMP+xT55LeUESBE86OY2/jUko8AhA92cnPfmzQr45hT/xFlcig3Jz/MdvtChlUWzsYTqV1wwpT8+6QE4KzBpMHrwiOqGNJaOeKfQ7c3C/+SrUQnpnI87xKW5sxBVCr4TWsf0aUKCgfeIjAjl/Xx2Wgb95C1/VqC5l1OsD6QvAs3Ej1ayNrqe3i10cJR8QQfNLzGnuY9JNuTCTWEUltbi9VqRRTPUe1aI6ZFNmYp/CVRnuFb5X+T0P6rMiO0/2RCjCEk2ZNY4FzwVZVwsP0g/3nyLmKampj13lv0z5vHgrQU7OMjXJWWwLIAP2x+fjidTvoDxtgxcJzxDiUtnkM4tV8wMrSHSHMws6ijsSOHzyYGkHwGLg4rYVvjMgbcJi5w1lI8FESlZ5I8awdF3emU+AYYHV9NmFDA74pVJJg/o8PtQx4v5rljEWSFTjDP71fMMh8lwDiBRhxn2KXF32Kn33Mep5tLiTVP21If7V/CM4ZbiJQbiBJOUDF2Eb3GjcTVyzRZJzHLXlaqJrF3HkSe8CcqoI4D7sW8b7qWeGUtWb4O4ikkZ6wAQQ0RrhLqjOeTGbwXFV6C6aBtKICGjrnEB5dxSs7kUeddNE1MkmeIw1oayljACQ6PK3l6LJMTHSriDLWcELKZI7UxJSnZqljNcWZTJSag8PjzhfJaCsgkVG5CkIwEqVNwKmyMSS2EmCyEi7uIrlWRrylCodpPCZk8rriBaBrwFmbhp32FwOg62psDCRR9zNKdJMQYzXeC3CjGdBwaDmVCZyZA6U+pR+Z9xxJAwDo1TJ05hnHBzEeOpSiQWNOzl3p9GEGTg1xR/T4DaOkzBdKrDgBBIMJVx7DK/0w2oACCiEehQiuIZ1YKQ6vCylZHHn2ClV941WRYjVwRZCbCU82s8RbizsvlvIhF09edNQIcKQw1+FF01EJgtD+2hCR8QemYkldyRUYeoghXJFxBXmgeDfUNvPvuuzidTuz2cxjliIrpSvbPiOzYxCTPHzlKUmAAatXMTNS3xYzQfvv8OaGd6Rn/AFQKFflh+Ux5JXZXdLMotTnxJQAAIABJREFUzsEC5wI2e3NJHN1F48bVlNRUk+OIJ/m3jzH7oZ+iDl2GT/KhHBtCMImMakxo48O4IHs1nxa1cl5EPO8echLTHYlGFtCIwZSGbuf5xgx6J6IIE53saJM4P6SElxvT2dpno6RxKT79PNYG1rImehe1g7V0tTdS1O0kuOEWrsmysyBpCUeLUsBTilk5Laiyz0PJ6VtQKhaQGVj21ecSRwbZqH2NVEMxCDJvjM+l3eygOnwthYIfiAKh7oNEBLSgAHwSXBXwJgMDdixakap6E45wCzWmFL4Q1iPo4XMhD42nBKPSTRrFhFm6cIQdQwDShWKu7XuN80J30zaeizfmErZ6ozDplche6AiMpkWzDtktUKQIQxBDWSN/TKAwxAF5Pu3aCMp804JR4M2nSpXO7NaTPCp4Se0bwRs/iL2qDGWgg8j8BzheHUyOXMLtrkdIk6opzRAI1LoJ6nWTI4rEpMXw713ZyB6BeX2dHBcDkfwEMofLedOSQpxwZt5SkBlSm8kfOsSvK3/F86GXU2NN5Td+sWw3zQeg2RBKm9bBpaN7KFLE0qgPo1Ufw9zRIxw35RI63kubYVqAvzJBlCQQRVZKE3QXlSMnzuGd40Ukp05g7/ghR3vOY0XbcqRIgc9Ot7Es0UZHTz2Hd5wid9W1hCf5MwXslbNw20QO1xTyvdRbUas1AMTExHDpJRsJmfJD9kp/YGrxdacylUL1J6/P8srRQn4uGZGPFvL9xTNmFzPMcC7+Iek9M0xTUNPLd984QUFNLwpBJjhTZvBmL7pVbvKyl1N1YoSTEQ5Od7fg83q+8qk1lMisqL2BPUfsvHbsaWJUR+nqfI0rl9ppDRolJPcFRh1t+BCpUVUTEvgq1yb8lub+DLZUn4/SXMHqqL2kOqpJ0fk42bucYcUmtrbfgt68HIPzFtKWRWDQ/ozurtcQvBUMSfPRaCLOzKk2IkkySu8hZEASgpE0FxMV5s8a41bGpWwmDQ/jqpRZ4TvKNcIdfF/+Fd+Xf8lC4Wn6x2KQEWgdiuJzYT2V/lkM63zkphxhpdbF5VUHebjnp6yRP+L6qefRKT08ccafWRBAb29EMe5AURtE6PY++lqNPDt4hJ+3beMd9Sxq62pYMlzArdKvuU9bzw+sFazhE74nbGOT2EafbKZWSCR4SkOUOAXIdAwfY533MMWBc2juLUWSZCrEw/Qmx7PT3sO4p4JlOQ8QNWEgk+OcFuN4THcXJWQgTgpIYisppQe5TtPENb0fcJwc8ocPgyyj8Xmn04h805WexesCRMbNCg4702jRBrPVPJtDopUVwycQgFatA1mWqJcCadCHM3u4gmtbP+OBti0ES220GRwkttbylQuxIGCSvSAIBOpsGLWzkGXYqbPxk1NG4mIfZ3nKYmJyLmBnwSFuHejl45ICPhSO8eANP6BrSTKK+h0crGznuzvKubWqnZsHLOwo+HLaz7h6G0okIghg6K1qRva0IHt/v6TwcMdh7th3B4c7Dp/z9VlWG3q5XX6E1Ybef3LvmmGGf11mho7/gQSYpp3FLpodwshwAT2tT6IQsmDqMLOSFlGldVEyUYi3sJGgyCjCdd2oU+zssvsxNHQYQ1YnOwY+wqq+iM8q5nGgJZ5tTf40jYahElaxuk/H8YE0Ek1Oksx1VLiCONa0iCBDH1l+3fS5bGxK+JDy/lAOtuWhlUvJsH7I+6diSEm+gLToHIICL6RpOJJ3Tk6QajsMGBEZnp4pnJ5CRGCMkMBFaIYuxtLsotN9FT1COzm211ii20rvRBpNbUZijQ4mScCuOcKAy59OcwivizewVv6IiKEqurtC2D5xE/ubbUiSh909CzB7+si2HCeaBtI5hQJpes2t2kWxfxyPpN9FiqWSTa4Gggima1AiKKKPHbqVhEtWFPZoAqa0POmew0anP9qRFxhHR2JfK36OJPZ6jchI3NC5hyRXE06TnsCBRgb8w3h1cojXXeHsN9xJTkACswx6Ot0V9IxWcsy9gChaWSjs5qhlDvcF3I+t/yQvmPLJnyrl8kgb37PqGXPXUdz7ApcqgwlnnFMaJxe3fYHCoGN1x3buC7+P8waOU2xJpldt4+retxhUBrO6aw/zR0r4NCAfBOjSBlBsjqNCnUCtbhYg4C8b6NKpQAad18e4UgmCwGmfl2qrlstFJcGjg+w0WsmUoliYuwixYR+R268jMewCVs9bQKzFQXZAAkuGilC8dzVhKbkkx6SzMszC8p52Rks1RLRvZaz0DnR+yahi00CG0QNtqEOMqBzTUv/H0yHnmh4BsDiiiRrVEpq2GlExM0D2bfG/Zej49ddft3q9XpxOp/cvH/33UV1drZ4/f37C5s2b/+Tu8LLLLouIjo52O51Ob0hISOqmTZsGTCbTX2VqMTN0/DdyLoOJv4ajDf1sOVBPRpiVJQkLSbD+Eu+Hel6JHaPSWscrrte47uLvcL40lxBdH4P7bmFvUj7PeuZz4cAYys49JFq9tE5E41MncqJ5mEh/HZH+ehK6mlj05kdIG77PjRf9kNPtUZS3vYLaLlKnqOaj4nkYrV4EQWZ+UCE6s5XWAQ3Pl36H81LWsCjeiVoZypRXwqvO5aq018AHMmNMSTbUYj9dw/FY9SqGKts5vaee48HPMFexiUMjh/lu8AuI0yOOmDWjnB91AhEBt+oSmgYCiDH1YGGEq9wvsES9H6XVi2QRCNd3U6IPJdvvbaImOnAa6pBlyKQIYQJk3e/t1VKFYm4cfpw0czHtikhiI3eQVOXC2mVlZbjAUHMrdyoSyB0/imQIpLHPzb6mK9gZuZrrbCd50W0lVeemxKVkOG45z/oykYHfJs5hrUbBNYOPg7mdXlsTYfUvUt96JzXCJTwyEUKNPgOQSByrJMlwgrXShyyXP0M5Psz7I4X8rKYfKSySldIrnJ98PtVDNn4mhLOudz/vhF8EgMOUjYSATvbwb1MlPK1O5VPzKkoM0QR42ni+7CHmjFXSKDgojg/jc+EiRmUTAGGClxq/6fzdlCEv19dV82BiKPNFL/2iHvvBLwiZs5RkZzR7JwZROw34JsdobSljIudhVi3MRqnRoVEvRDVwECFkHo3RDxIesZCVhulFzl8IIreLLahbdhGQbCbVT41DKWJeGo46zIQ2zo8pr0RBTS+L4hzkh+Uz7nbz9LGPuSlrFflh+X9yzSvUWkIyL/qb+9gMM5yLjz/+2Or1eoezsrK+lRipd999t/mfcd6ZoeNzcNZg4mwU2Z/j6/mgudE6tlxYSKK1EEmaQhmsQbhoiLxFd3BDys08tugRbjVEE5WeybNtYTzlXc3xaj+sLW8QlLyHdbPG+I7dQ3fPCYrbpn2ELYqTrA77DXuMxfzyIpGXlUPc+3EVGeG3cEXUj7kk7HKWFOYwu6eDFZEHkGWZzMAyEvW/5vzQZ7lpUQzp8T0Igg95aorCNz/h9jeO80bld6kdjKSkfwVqxRA+zWK04T9n+2QmHY1pLGjYz/WJu1DE7kLl8KNzcA3IMDJhxqysYXBKwciIP2rP+0Sbejh7y9ftnTaVGWkyIgqgE2r5sNTElBxKoKGJU8xhQpzP213X096fyftcziQaPCg54lqI9ZREU5WdXsmEFyVylJu84O08rP2cCP0gMnDIkAtAgy+Mzfopru99lwxxC4s0nZx2qYge/4z0Eye5qvd3XCKWsHakny+mJOrlEVTeegK6/4PPXIO8VPYRnzc0U6NPI9I7gIhAjT6Crt4EPhc3sDt8DujGeFgxhsUzyra6IryyAmF4B43N27lPquf7tqM8W/kgj7Y8zGMVv2RzzxekjVVze+E9vFb+n1zbvx8BiRjzST4Py2XRwHFUHg+3HXmPlKFm6qzhALSiJFr0IAB++gE+UI0zbDCzXW/juFZHadoKHrdaKd3Tys9MNhb7Gzmx7RHq2MLuqkNU1zf9wbVbfehFth+KpWXfoen1sNXb0EwWY+57ElvcAlKTf4PtjJuUoBTRJdkQlOIfTH8AvHBiGy/W/IQXTmz7x3SuP+ZM2/D+P/F2n+Fb4FwxeXq9fvbZ/a+88orfxRdfHLlr1y7D7t27rffff39oQkJCUnl5uebIkSO69PT0hLi4uKTly5fH9Pb2KmA6Du+GG24IS0lJSYyOjk4+cOCAfsWKFTEREREpmzdvdp499wMPPBAYGxubHBsbm/zQQw8FnN3u9XpZt25dVHR0dPLKlSujR0dHxbPnLSgo+JMcyWeeecY/NTU1MSEhIWnTpk0RXu/fVnDPVLTnwOa/kNTUZ76KIvtzdPUd5M3yF7kyGVwjJxHGX6eq6nXa2zMZHT0JKPDyEwrGtmDt8ENx9C5O5TzJ0ao6bkwroK5PQ9JIIvPDxtg7IiIj0mw4hMIYCSgYltJ4tuR6ZM0cWkNScLeEsqOiGwTYVa5lbuch7j1+mI+WrKW6zZ8+XRnRimiapGauTL6eqiEFrxbcyWOLHyOrVsb2yI958e6HiFq7jB++ZeQ6VStbWsOYk3ABL1e+SIzvKOG9AfzWmkxPhT9ej4EG6/OMN63j0gwjTsMIKmUgNrkb1P3UD4VTOxTN+ZH7KSWDXYa7SJIeId6RRniYgta2F7l34Xx0ilZOSbk8Jv6AOfIxjjvnU9E7l0bBQbscgpMOPjesh3xIn/iQH2g/4LhvDZ9or8Tc+y4t8givOi7namUtzQMujMZGtnsvJHbSxUvhV7JIl8eBCQdXdDUTMKVm5OQYb2TciCzBhr5PeLyxj7zJQ7w9dxXWoHU82RMBoQL+LV3gLxBTW8/s2HQ+VW1gXcx8fj11jIZJeFy8m++o38Xk385Twv3cNflz0rSnWBW1B5OygR5vI8nxycyyrsM71kIIRfxb0o95eeoQy479hC5/PS9WdDBi0HBH+I+pF97iN2FXcmvr21T4hRMotdMthqB2T9GgVoMgcVDjgHQ7mQo3pyQtGUYdxbLMbS1vsyEjn057HTV1w2xpD+S6EX8aJgKJd5WRKMV8de1aO0Yw+D1CuHoh1Pjgg+vI2/gKT2dfTqi7FG1vEmP6Sd4vfoRL52zGpJuurBfFOdhyVRaL4hwA3JS16g++fp0pSWL/wCj5/ibUf7Q86M/t+wPq90yv1b3sdYj/0/eY4V+fvxSTd5bly5ePL1u2bGjNmjXD11133SBAXFxc0mOPPdZywQUXjN1+++3Oe+65x/nyyy+3AqjVaqmsrKzy4YcfDti4ceOs48ePVwYEBHgjIyNT77333u7a2lrNW2+9ZTtx4kSlLMtkZWUlLl26dNRut/uampq0zz33XNOKFSvGN27cGPnII484Hnrooe5ztevkyZPaDz74wL+oqKhKo9HIV111VfiWLVtst912W/9f+zuYqWjPgSiqcdiXfuOw8der2NNk8AQ/4o22SHT6BLyoKNdczMDoaQB8QhBlDS8g9jzNY/XHuHnqB+zzpbI2tgkZsLqsxNhLebkmn6mRFJaYJCLGFwISutDXaXWXUtybSkmbm4aWULTmWsDLjvJuZMA/bz5vrM+jLNLAyrDTzNFE8+bJq+gc+j6T3kt56guRxUGXkWGbwzFbLEGPP86CKy6gsmsU8cQxwp74b+4ckPF5ZKb68hi3LKIzN4fD2Q30DUSRPjrOtQOpXCyKBBvG6By3cbrhPxluTQMgxq+FC8xtBAVcRTolPNryECNlVmpVq3BLPgqZy+6mEAo7M/jdwTzWSDs5znxkWcZpPgXIFAnZfCqs53z5U1bJn1Cs28ApMhEU3UjAa45L6RNauarnbWJO7+CwKQVVu5cfv/Q4efLnrOVDDkwGc6P/OMkBgzwefj7br7qQ7/IEF/AJH0VfiNfSwfaodfxCcRs1chDPJoRznTRJX0QQADYREj8Z5RaXmgVqL/rubgy9MtFSLS85rmCoL5wHe/6bRE3p2auEUU8DyGCoOgZfPkuzoZMgRwX/1fNT8ls+pz8mgapEHfOkIta3HuSx/i3cOLyf77W+g8foRAK6xWCCfSNMqdUopem82zCll1V0kNn4GTIy2VYDt4f6c2u4H1sjtPyw4G52McjO5FyGV/w3K9elUzL6IV19B7+6duX4VcgZcxC/fGK6uZe9jir2fCI8pbS2bqHuy0fZ8/FzhE69zJN7fsHnp1vY3bQXQfCxLCnwKxcpg0bD7bkXYdBo/qQf7Okd4frSRvb0/qn//P6BUa4va+TxqkPsbt6Nx+c5d2eLWTotsjEz0dX/I/BOCpS+b8E7+U0Z438zv/jFLwLj4+OTsrKyEs8Vk/dN9Pf3K0ZHRxUXXHDBGMBNN93Uf/ToUePZ/evXrx8CSE9Pn5g1a9ZERESER6fTyWFhYe6Ghgb1/v37jatXrx4ym82SxWKRLrjggsF9+/aZAIKCgqZWrFgxDnD11Vf3HzlyxHiuNgBs377dVFZWpk9PT09MSEhIOnTokLmhoeFPO8SfYaai/Rs4O3+VbDtNZcVtpKY+wxL7YjZbx3jxdyVkXjRKp+1uftE/m81SM1liEaLUTrpt2o4gyRaPNczCUwcbuSH3uxRXj5JqdRBn3slxVx+ZgeVsb8/gdNsyoiM66QRARhRgaUIAe1v3o3S+gVlxLRNDMaxJaGVhjBlTxG7qpu7hRHc6GUGl5M/rYndhAsr58B+rKnm28X1eLU7g2S9Enr7YQ744RbLtNHMvWcZ7A81c9vHbBFqCSXf0UNa8kC7BxzL/ZQw2S+RqdqPY0MNgdx0CEGzoJzH0M0qbZ2PmNIJbh+RXR2+pj1e7LiVebMUYnMBY1dNsVY/xlPAjiIEfSL/kPnU5HimGT0WZWVI1KapKjrD8jDeyQI8niEBVFzICDZMJRGhrEZFZ6i0BBYSjp26ol7ltR/k4bAOKSxtZoVVyqaeGkO53uMYSyNvBWdANxzUxZPjfSL6rkq2TAi5rPk+ecpIVMsErfSZyHApS3XZUIz14g3SoVKPERxfwk8HziGt6nTsT/wMfACIIAq8HXMZz3kOohBGgEeTpwXK75CTQOwhDNUScuU9f2HaQ/dZ5ZPa0sV9/E3Mspxkw1dNgm6BQWs3rjg0IgsDG7kIaQ9M5JVgw+NyMi2pAxuL1sY0QEoLyWWHVY+47zq8nIvC1DPC04MfmOb/mEus48qST/JQUDg7280RFLClyCM4ztokHp1K4rWQ+by9JIyPu/K8sFEMmo2lpCqaubBl9XjUT86/llfJkxJK30YW+xaP5j5IXmnfOpTx/TEyXh0sOjxHj74E/slLO9zexOWCEN47fzpv4eGLJE+ec40Wpnqlk/ydR+ZmZj74bA9STuvGfFpP39ei7iYmJv0vUz8bhiaKIRqP5KjtXFEW8Xu+fPecfR+/98euvI8uysHHjxv6nn3767/ZJnhHav4Gz81dbrkwjPfUZTNbz2NnTT7K3kMfXjsPITwmWVdxTnEF8Rgntrizc7m6irG20tiTQMdRFbtozZNivYcLVxrh7Lb7Ddo7llvNeTyAlylrqqOLa7EJihDBazfcghntJ0xUyqdrErso4Jtqu4vKkBQSKHxBv/Jgthd8B+Qauzc3C1L2DavWFbLUsYV0+hKneQOV5hTvD8liamE/M8OeIww/T0NRES8vzJAT8FPEnP6K3ZDHb+qr5XvqrFPTeTkPvOBcGfcqHc2/mtcJVzC2rYZZ6PqPd79LnpyCSHST430fPZCRGVRNDI3bMAY2sVkXjsB3ltOzi+p5DvFi+kn9L/xJvmwqXMZtFVY+w138u4eEh1BkSiZmoZ63mQzLba9hhXcZRUzZnHZI+061hjfQR17f8lqHhJJ5Ku4s1w8dwm4M4GjKP6JEuPjZHEyZNUtq+iX1hEWiHHmFVqEC1KZvOSSuMS6ze81P8/WYzOf8HzA4MYPvU9NxKb+sYp0p68M7XM3ukgjej8zk41kuL0cFzgbeyUv6EL4QLyR8+QowjAc1kL8mU0EAjyDLGES9jZhWB1VV4hyX223JZMFBIfY+Kp8Ju5b2wC8gbrGefNRatR4U0EcUzwpVIAdNZPTISW/XxjHu0xDBCvcJMoOClW1ZSJk/fLFep7VQPuoiRPiJ3NJdwZzw+WaC6z0N11x20NyzlKWkzccqtZMpqjtWGsaBbpvf1H7Lgml/z5BVzMXgV+FBy9jnhZjGBg23LWbTCRqYzBmfiEpLSeykd8vHGmYyUs0t5Hlv82LnF8QwxyTZ+ICQQnuT/J/vUokimYYo38XFdynUscC74x3TCGf65JK4dAerPfP3/zTfF5NlsNs/Jkye16enpk5988omf0Wj0ARiNRt/IyIh45hif2Wz2bd++3bhy5cqxl156yTZ//vyxv/a9Fy9ePHb99ddHPvzww12yLLN161a/V199tQGgs7NTvXv3bsOyZcvG33zzTf/c3NxvPO/KlStHNmzYMOvee+/tDgkJ8XZ3dyuGh4cVcXFxf/WDBTNC+zfw9fkrtTKUnX3D3FLZxmbf7/Ab1BDlL9MnZJEcpcajvohg+QMGFbMQBJEvh9LQKMYRZIm8gDYS7K9S5AuB2ns5UL6JCf9SyiYUpOm8zDd9QOOuEJRqB33pZSjxohdEROZwfuRiyht3k5/xESe6UskM0ZMVFch41SMEh53A7i5hs9CMt89Lh6IYQQCbbz+79v+UkX15ZF12FV/UL+RA+RTD5mHuyRGYf/V6JspqGO6t5sMyG1NSCC7P9fhZc+hM8fJ4TxbZvkES9UsxuwcQIltob/kQS3AzSlcKFksFY67l/NfJJSyYt4ht5kTc4fM4L+JCZKWBW4vKmMiwMTwvnvdUwcjIZE4dJ1pbyxbhB4yZD6OWp5ARiJZrmEUVze44Ptdu4BpxJ6ljI3ikD4n19DHWmU5UQCdNjmC+1/I2/c6l7AuN4DJBxXxdDDvbi9jGYpA9FHssGMMuIcVi5bYRGxJekCFSHMUUEoZ6LoDMKfO0HWKLMRC7IFCt8COrQcGV7jJGE7p5eSoHQbTi6S0ix66hglRWDh8hYkiLFxePxlzH08HruaPpV3ygCqQxZM10ClFNIGnxDcT0neSOxHuRZBkEWD1eSoMmgiqTlcCpfqJGqqh3LKBbVuIEgqon0DhhzKwnbqyKnvFZFARkUzshwegEW61+OHy3EhR1jKdGxggeN9FuyKTQLTNV3I2jLYl1EzZmaVVsf7GU0A2QnzuHHSd3sCpzFZddfjnhkdEcrh8gTCmyMjWYpb71zI0M+EoQH1v82DeK49fnX6PSzuEodYa80DyeWPLEX6yMZ/gfhFIr/yMq2bN8U0zegw8+2H7hhRfO8vf396anp7vGx8dFgCuvvHLg1ltvjdyyZUvgBx98UP/KK6803nrrrRGbN28Ww8PD3W+//XbTX/ve5513nmvTpk39mZmZiQBXX31174IFCyaqq6vVkZGRk0899VTAzTffrI+NjZ286667vnEheFZW1uT999/fvnTp0jhJklCpVPKTTz7Z8rcIrSDL8l8+6v8Rc+bMkYuKir7VNpw1kohMz0ShVCF7JSZrBtHG+SFLLvornsEv4SYGx05iMs7jlztfZK7+eYaqF2GL303jcDgx1hYGfNn4iccQRJBUi3ipVM280H2kG3wMjSfgp69CFuCj0rVoApXsndpBrHYd6eZO5qkPUHYsggWnO3k5TmTu7HTWL36ag/VjfFbWxoh8kjBhH6tCS5BlGVEQqBpcRbz1C8Y8gZg13ciywM7mPJZFtSNKtUzJSkrkTcxWvMPzxd8hMiWGd5WR/Cp0hMuj8yk//l90uV5lTHk522r86RmdpKQvBclfx8auGrYax7jJ509yz8ewsRpBEGhtSSam/jLEpd0ccC3ipYIu1kpNzE/ahTmiji7Hj/C3r2T0y0KKG7azNCqUEutpekb9sJuGaRSmDS6QBc5WstPev2cTWiFTPkp2SxfPha9j5cl2SmNNtJosXNy6HZcjmm3aOARB4MJj7Tg9hSQuUvIfQzJjpjWskjtZI3ZT2lrHlvBLSWacIfcg7ZrQM4PVAksUneSMKzkxUsm2gIUIyKz1fUheaznj+kt4KCCJ7/bvZsLXy2uOS9mkKOJN3xxul37JhtaDfBi2kMfFH7G55U1u7t3B8+ZEDF4HYVIXh3QLeD16GWsGj7KqazcV4ctJ8vSg7Sgi/bwbuLFd4LR2OpLPoFAwLp3pi2f+ptKZ4emVgzWU2BLolCRAQO06hr50kFi7m6KotWwof5uOoHiCJhwkHtczZ7FA9kX5gIKtBw7wQOvdbAq8guFjw6QtT+OSBZewu6SN1x5/gzsvCyVj2aV/Np3nrCtUTmAODXUNHHFLPDDs5YXEcKKHeomJiUGp/MN7dq/XS319/Tn3nYu/9fgZ/hBBEE7Isjzn69tKSkqa0tPT+76tNv1fo6SkxJ6enh55rn0zhhV/ROOpIj559Gd49CackWF0n/6M8feGUQapaWv7MdWD7yAMNlHT9hv0g2PEtjzFsC4UyZiHTlOIv256xMVPmYOPKnyCkmpVBsv8duJU+2ifCKB8wECkpRcZGJe1LAw4iNljZF9dKqUdFtRuiZCxPLQXFtGvyEJ14AZ6VQqePd7AYPOndNjeQafvJj74GvY25LKzIZUMywZGTgXhJ+Rgj1KhN0QTaFuAYupjBGROC1k8KX6HVIOWxIApNsaFYB14gTWhaaja/HF/5KHSUkO9K5UVIc8xN6gYW8IqjjkCuWTv+3ituygM9UdZE0OlZiHumglqJ9YxaqrlsakPiLXH0zHuY2F3BAtSEyi2hfKTwfl83j9KRIiCRZbfUNCcxwL3dirLY/ht1C3UkoC2aYgVjnEE7wT9ggEQWNJbzhgyLrWRTiGEfr94BhEZ9JPpMlpBmI7jO2qKI2lymPOKPAgBPgoHdGiTV+DRB7Pa04xDZ+ZhKZrjlmQEBHpkFWMKEyCTOlxFrF7igC+AwPomcgKj2TAriKiGraT1neLfI+5jjb2Fy/qOsbLjadThLdj7prjEt5fMriNkdtQR0TNCNyFI3DzhAAAgAElEQVRc2HmAYHcfbSo//jP+fq7v+ZjlA18ypQavoGC7fQEd/sl8ppmFMNrFryOvRa8QuWVklJMjHnoNRjxAuEaJn8/N8vatTJiCOb91B2WWBOp0dsZkSJJP4XIbuEYPOZH+HBx6jWQhhXlVLZgHJjEOdZO9KInsVQtoqxrG4tARExVGvH8CKZ5sOrzdXLL4IrQaLX5lx8l46RdEjH+GJiGVKVMYpfvfxz8kFsXXhM7nldh24CD3Ft9NgMvB/s/3M1RbxbqURPxaG9i+dSshISF/4JXs9XopKChg6zn2fRO1tbV/3nd5hj/L/xbDin9lZkIF/gYsAYF49CYKThTj599C69AD2F3HkUOnqBn9HSFSMtU9/qQ0n6La0MqIVUahHCXUacFhX8LI4ASnCMdfKsOoWs5xWc+vfLcgIxInV2FRjTKm7CVADQZDMg5NGcMdicwKbCHZ7Eewb5Bgn4oB3SDbR6wE2u8kJj6QCmmK5lOFrOooxC90jEvDJilqz+et0ll0uYIwWDXMC6okefCXtJramZhsRFSMUj7SRYBawCH0EEUDiZ5dWKRimge7WBW/CVFQcHLMD0XYF4iqA5R1Gciw5BCfdBMKOZ0dh1qZGPJRHOLPhHUvU5FXsC0+HZMcxycps7AHVvKdsWqa1IHsD82m3dPKgpBydnrc1JJA2kgjO6VA9N4M3g5MJMpURZi3C2W3keyJEq7RTHH7sg1cNFlFaXs983qa0ft6KbKlfWW2P3Qm4calVJ/ZJnGZ+nUm+qKpsNgYUJ+kKCwWY7iSvT4VnT41p0R/jns0nN93iDpDBPNFF/0+mczRk7RrQunROmjBOF1Ai+O8b3JC23HeNs3lsskWFmlb8PduIX2wjSA5mJKxYH7uvI1A1UkyhyvZ3nkJbf4B3Bt7NzGim/8Mv55lQ6cQZQ/XDB3miDGBW5J+QpyrmWp9JF2CHpCpMUSSpXLz6YQWn2KYvaaQrz5nFCJVskCFOY5BQUuLJRa38PuFAS7Zj3GVAaPWzi/nL6RyNJxd6jB6BAVRTeWYJ+eSYlPhVlnZ9lwJbvUA4VHBiG0W9rxUg9BmocVXQXJ8PPrwcBRJCRSet57w+HwqDn5E8sF/o9QXScVUIMFmDfU1NQwcH+bdExPMTl7JIlMqTad68aqGMY+PUFFWRmJiInPnzqWhoQGr1YokSRQUFFBQUEBycjLZ2dl/VYVqtVpxOp3ExMScO0lohj/LjNB++8wI7Rm+KTf264iigtDoGJxOJ/42D3192wmMuwQpKAn9pBf96d0MhTbT6+eHqBwHAUzGDIKDL6a+/hcUCtE8IdxNhFiBTT6KXW5HFkQ+Zz1RNOCkg0DV9P93r3e6qi0btuM092HRNhJpa8ZubyXU0Yx7PIC3SiPJiGmkps+EoqmYUE8nKoMWb5UBu2MFydYw/Ow6Kr3lzA95jlb1xbxTn0KYsQOd0ESgClQqB0hjBDFEePidVPf34RDK6Rmdoq9rC1uOimj9grEIh9FMpqBuq+TT02YavE6ygwysWORjUcyFiN5Q7sk24uxycO3cPgYG9/CpsIFYYzU5qj143SHcaVMyXr+LRx23ctXQ+1xm2kLEYTelk3NZSBXrxrYxqphL8GQDz8y6nIGmDgqUVsY9QYR+4sVnqOfNuFV/FCEHBs8oHsX0qoCIvg4yeupRjwiUOyJIMWkJ9nZSqQwlc6ScAL2FblmJIAgstvlx0quhTVLhFRSMq/y5uu1j7FODnGf3JwQ3l9W/yHb7QmpUAdzWtw1nkJ7JtiJ0lj6CWzsxmjMJZT4Zfe+TPfolAcZIZkXPY77VR8zALi6veZOs0SpKDdH81nkh6oj5XOFrIrl5G5EaNQ6dlhGUJIyU0KYNpUNWcd7EIF1NZoKMLfQPqjhfoyekyYXbrGRAFECWcSOc8cQUwOfDo9QQKgr8SA8flXWQZvIgdhRxNHQeIXOTuEijZuu8eESvRHCgi4LC7fR4dMzJisEvREOropj2xobpqjEwkENmOze0eUi3GJkbm0KZFEW1FMoTX5xE7mvm6MG9tI7reXGOPydFNYui7ETplGgMChqbGlFMGekZ7KC/o50Dhw7T2dnJsaNHKS8vJ8TppKGxkdDQ0D+pds9G83k8HgoKCnA6najVaux2+4zI/p3MCO23z4wF4xkONx/g9Vd+CNf9mvzoZd94nFKpJD4+HkmKQqXagix5KS27DRAwpKUgeJoQlePotFGER9yIWuWH3jyXE5o72VUNRAKSiCiMowbW8wExch2pFAMgjSjoqL4YfVI9/sYTWE2d+AQVhz1XEz20n16HP6lyMTmhpajV+4kUt+OIWM+T4166eu0syz3CB4VrSZgMxXiqj8wrJvjcnc7OsaWsDEvkSkcBCs8QRkMKkuRiYqJhOpZddlHZ+BGPHNrEmkX9zEXHdjmI/CQ7G3Kv4OdH/Kjp7+Z4yrWoGoeIGCzCNtpFtv5VelTX8qN5WVRXbiasbzbu3rVcxO9QtajwmzTTFPZ9Cg6HkLQwhuvybGxWmrm1pwP3YDiFfgqOJeoolFMIbM3jibDLWWYo45cV7/FLRx7HJlx8AVyVp6VsPAZBhuThFsqsEWfmKmXGVaZpwZGh2R7Cr2y3ICAQPiZx3Ogg0j3BUrGDfZZklno6QBGCjMAxMQBww5lg+mGFjr0hK2kQjQgTIi94v2R53z6MnsUIKjXq1hf4vpDPSMQDPNT3MqqJDzAonPS3pdE3q45BIQuHXwWzKx5gWIrBltKFqxdi26dIMXzMUUsa10aamVr3LIe2vsJrftlEj7fQaLDQaJnH2ZuHAp0N4gFMoJU5pRLojNTAmAdMX3tw6OwzFIrpG8M2GX5S10aD3YkwZufXNjNulYafpiTxsn2A3zR3o6wf4RfBArIsU/nG+4z1dBDt76S7rYXk5GQiIyMBWGg28F96P8JbJlGkmTBEZFH7zjssUsm010y/bZpDy3PxYUiAe1cpJ5oOkJOTAzUQmxhFVX0pVeWloDdRW1v7VZvbOzrIzc0lJiYG+P0crMfj4Xe/+x0b1m/g+JcnaelsRPJ4WHb++X9Xn4Y/TRqaYYb/afyfqmj1X1aie6eQrPhcDLFxf/F4QVCg04bicjVht69Arwund3A3ggBTkpIy5VXE+YVQWbGZXb0DPOpexibze+RSQIZwEgXTD6+IgkQwHSiQ8Emg0MrItloadEE46MGhdXGKTJ5Vfge9boTXxRuIlBtQlEwiDZoI6W1BEVhJAw0cmExkYGQ5IRGrKercy4IcDwHiA0RTT67qCCrPAQRJAwww4YnA6ylHqbQhyRN0jluwadoYs1p537AWtyixTc4hVN1JlRjMK2Ma7u9/Eb1Bw+mAWQz5BWF0DWMQvbzWsRdLxQihYUYE3Sksgsiw/hrUVQPEvt/KJ4OTJM/JpbxpFz1hi3iqd4TApkJymveRZs1hYjiaa4f3Eew6jU9QsN2WQ6cqiXqHFQRIMaiRdW6+NAWz1ivg33SY6oBY5D/8g4BwZosw/XpYo0AWYFBtoU804JEF6s/M9SIIdHt8X/vZ6W8HBc1Xm+yaCXKad9GRfC25YyYilKMIvUdYbzfgrH6buwNspPUXUhYmcU/kjey05BHdUUV2m5XJkfuxuU4y2RXM9qF/Z1t8ONuC5yON9/Cb+j6+MMYhCzKDaivBvgHGRP0Z4Zwe/kYQAYlAlZIurzS9WaP4qr2zhW66MP6+qgWiXYM0WhyEjY0xqtXgaKzkU3M44cMSkSjwSTIthV0sidIx2NaAv3eE7qkxemunSEyNo6K6lODgYLr7+9nVPMHIa7XUlFVjD7Sh8OmIT4nEZDLR3t5OYkwGLUcVhPtNYGj0UvplLeYALVabkezsbCY9Ljo6OkD1h2v3laKABEiSxHBHK7agIN55510OHz6M1WqltbWViT5o7qoFWcYhQExa2t9dzR5sP8gd++4gyZ5EpCXy7zrHvzozFe23z8zQ8RlOFR6hrK0RXUQk4WkZf9XP9PXvp6zsNoKDLyQ46CLGxxpxTdRTImTyqO9yjK5R2ls7SdYeIJoGMjhBkLcdQdIiiF/zwxRgalKPSjXtkFOhnM2T4t1E0UAwHbS0m4nzy8dd28cmtZqh/g6GJAXpqcfxBoIogEaVTFvvpYi+dlL9j7Aq8l36vC6sqnaC6MDtVaBUSAgMgADDbi/7WrKJsVSAAAa1B0GQidPVMdcWzYXGJlxjxQTJxTw9ksFaPmSNfYAAxadE0IRlcBJ6x1gb9jm2rlgqdSmc0PkRITfQ3qTiiy8NWIOX4nEIpOdu4LLzBohW/jeLwucSVDdIW/MkCmcK8Z0vkiQWUe9I5M6I6wgXp2hQ2ejWCYRIbkZFBT1TPhql6WrEn0ESbC4KBedXAnP2d/iV8p4Vn689NT+FgFby4RUUIAgYgSlkrgv246YwB8hQOzFFjDTKIEqWSfV8KEczHpPDg5PhBJcpOOJr5/MQP5bpdpAWtJg59gUsqD1Auz2Nz82zWTm6gz2ug6S5W4nz1eDnLkWn7Kcq1EKkdJodjvNwjQ5SYgwl3tVOv9pE9sBhBvsfx6b0cVXLxxiUCpo00x7HYRoVHZ6vh4P8/snrAVmHD/Frw+gyg0oNIDCi1fJvTn8C8OAn60kzGfnR26e5yqslbmEw8xRD9HpGOGV1MjfUyZLFy8nOSyMkNATf1BSP7jvEC352smepGO3/Eps1gGPvdBCbEcmXrS0o6swMWVyEzFJSVHqIoCgL9X2ncLlHaG9vZ3zITWV1OQI+wsPGGBlVwsgwqLVICOj1egYGBmjp7KKmqoKunl6Cg4OxWiy0tbXh6/DDGRaATSNR3tNDb28v0dHRX831nhXdrw81f5MQf1Oy0P8lZoT222dGaM8QFBeHIIrMW78RhfKvG2LSaUMxmVPxs2bT3PI8nZ3vYeyaQ1bQOtKCNVwetwhZlYtdWY/f5FFEZERRRuO2MaFQIzKJf78blysU1cQgGMHjMmCY7CJhqI40QzEiEgPCEKUlZg53xBEYcJjFQZ8RZutC0Qj4Q9eYjZr+ZdiURSQmNJGkPYwCCbOqEwRQKiwoLL9GSzle39B01JpiHFHpj1mrR5QHEc6olChIWCcOEuifRa5FQ6ZzGfNsUSySd6O2RhI2aiKzahfz1LN4pikDqyUdX+yVvGGMpVpIoknK4y2/VSSFJFDZup0l817C6ZdOzKzzsVrTMFQIWO/5d3bb0tkymcXizCkawmpx9U+iHu9mu38eAjIXT9SSV/8pvSoz69Vv4ZC7cblMVGvs9AoTDApfe/r0rN5KvjOVIGgFCe/X5nEBvKL4lThPnfm8VmmIgZFJlgTZ2Bhk4/7oYOZU/ZZbTvwXsYkphE24+EIOIlbTwFNhi+nR5rBgsJeckx8SmXQVrtJm4ob2ES40obIPcPXkOItcoPFUIYhqdtnncvv/x957B7ZV3+v/r6O9LUvykm157x0nceIsZ4eQMBIgzEJLoZRLC7cU6Lft7bi9pb20txQKlFlGgRJWGEkgk+zYjpPY8d57W5KHrC2d7x8OYZTe3u/vR3s7eP6R/DnHOkfS0Xk+7/F5nrw7WOY5jssgoV5dyIrxUzzTdB9haxq7tYuI1WbTrVqEV2IkKWCkSWMCQWA6FD7/DoTzalPChQlFCAkRYT8+yVyFZ7ngZhYJbkFKMgEWC0F+6tfRKpUwT+EnXqqju3+a52NFZj7Yw4BCz768Mq5eNJ9FGdFIZVIsFgvTNWdxnhbYlCzhplULsSXEk1eQjSCRMGqU8OL7g8QrhvF6h5hwDJOZlYU0MY+ESDXhcBiXy4VrVI6omCU92UtM0i7qhBIKY7NwTE5hMpmYnj6vdyAIeHxzyw0lEgmdnZ1I3DOkZ8fRPtqG0ztn0jIxMUFvby+VlZWf6Dz+c93IYjCMv22K9OTsT3RL/7Phb5Vo/5Ql3cft6P67/3/44YfNjz76aNTll1/+ua3t/UvhvyPaf6rOA4VKw9JtN6BQ/ZE5w5/Eh9qxzskqenoeJ9K0BldMDYq4CIqCVjQCrJI1oB3s4MO1oPqpIAH1CHLByag7mQmLllpLAoGYuRuBXDNLpN5HSXQNkzNzFmYFuiBbtQNsS63i/fAoJ7oXEhZhXDqnxRujtbMu4WniUxw8LLmXc0IxIjATzkCjKSQYmiI8fQ9ebzcOz5xA/IxfSZr+NFKx86M3dP4+rlIl093/ArWScmJjLiLbvZ0p+/v0Dr/CTkMWofiFpHY8yYNpL/PK2ShG7U3oJx6jTDLJ16OzkNU6EccDxOeIvNuTxokXjQy0uIiyrIbSMhq/eQmbv3QJv185S/rqX+DkBu61/RsHtBruEGr5nq+VqIgofpnzVZaprWz1pbBgoo1h7ZwGsCX8KUm0D5fZfixiMYX8fIpn+eSAQDqzHJpV8oorxDda+vlD/xC/Pv0O3oHTSLI3EpG4kTXzt/Dk9E6SY2fY4DnGN8RfYm3ZT7jwq9T9/nEqVS5mxuVEBtX8RnI3IXsk0rCfUbOCMVOY0PngekiWxinJYuaHT3L/xH8iFC1mieRBls0eo12WgSE4Q72xkDECqILhuWhcFMl1NZ+PzEUq/M3cFn6I7Kl6QCSWDzWCRY6ENUwgA1GkR5TSMNLLNybG2HR0JxKvm+fjRHpVTtY1VZOptWBzjPNvBikBUWDX2CQut5cTr+8jfukSLl0TwQKrhe4zo9RWDtLbaOfsnl7iA2HWJvejj69FkIQY0AzQ2trCszv2UV1VxfDwnDCoVOcAUcQ+YmBX37W8abuYiDUbsdlsOByOT313cxOe6elpTCYTYY2eodlxDAbDJ3YbGBhg6dKlF+q6AGlpaWzbtu0TYx+Ht82J/cVmvG2fqVP/Bf5GsX379t7PssL7f3XF+XvBPxXR/k/xcdOAD2E2LaOw8LfYQ0sJiQK7qlvYvn07Hcdfo7vyNga0w4iigH3ShMOZT2K/B0GAGE0P5yjiIeEe9s6uwhEqpn8mnhn/XF3LpHNQPRrHnoESLDl7iczowh79TVzetUgQ6PJlXSjr7empQDsj5U4eID8811ill7TTNZ3G0EwMEnFmzmhANTO3TeEDPkY9HwVLeL091Mrv4F979RwYHycsztUyW1Rb+bFrPb83aOlO1CBLPsv3cvbiqepA0pbB1y0ZXJJnZVOUkY6z4yhbl/PBTAzatTG8ovHjCgbZXvUWkanbkY//jOLKbzC8+5dcduI33KGZxGPcTJxLQfOhszzti2Bb2M4rR6dxxGTyfvRSAEqnmvDPfvTZ62Zn+OQbEYlwTzMkUWEJ+T5KH5+PZAu1Coq0c5/vqOt8Wvb8h7hvyscjwRxuy/kR/zVr5sbmQfY31jA2NMH/8c9nZjpEUv0MsX+Qc25fNdsLcwktddOxwEih9xBPDz/LKkc146opanMieT53JVZNKxeHdxAb7mbDxFFqJItpII/Ddg+T6BmSR1ESrmJapicu7OawJQfvedF+AYFGbRbZUicgYXZaYHw8EdEz5+jVKtGSE5r9jKtU4A11ApMzEXzTlMFCjYp1jdWUp0wS9J5G1pWOIT6NxAQrtzX3cmtjD8/sq+Lka7/hg5f3MWMd5Y233+D9P5xg4MwEZ5ua2PC1AoanWpCJZ8nJO8x4yiFyluWwaHE5lyxM/8TR/WIQBIFQSGD9qyf5TXiGePsIfX19mEyfkmT8WPr/QxJ2Tk5+FPUCZWVlbN26ldjYWEKhEK2trQSDwQuNiX9qiZAqMxLz9TmoMiM/c/sX+N/HZ1nSfdyOTqPRlNxyyy0JWVlZuQcOHNA99NBD5uTk5PyCgoKc/07s/+8Jn0uuRRCE3wGbgDFRFPPPj5mA7cz14PYAV4mi+Hcx7fzQ07Og4DGiLKsJBcP01E8CBSzOWcxLx4I8eEbPFRVWunWdKG0anMEyIqQnMRmdhCOc9DqL6RlXMxGlZIH7DHdqfkGBdo4ce/TFxDHKZBAMMgjN6uiZyeVJZz5xulFSZhswDgVoDi9BoQkwUPUVquUwIoO1Sc8xOLsAmTrI2ZFcjFoVcVHZvNikY0vWSSKUPZyjmEJqkYmfmh2KH5U4RWC89RTfTDlK9KiF/ok9JNluw627AaF5mKRwPgiHAUgxN/IfcW9x2PRdWqfeJNieyHz3CKlBE4o2GcmZAU4kzvJu/5wvbVH0CsbGWojXvYY9Us6exhFulQX4ps6NVKrgsqPfw5pzF1btLDdnzyeLYyzI2cDl9W9x2g3X6jw0iQZqEUmSS4hWazkFxBJiBCkgskQ1yllmGJbGk+MZo1lpAUFCjExKg8tLGBEEKTM6/RzJCoAYJmPAj015AnmUi2PWckQETvR2keXbgoiEY9HL+fJ0NdZFk2yPmMcLtpuJGXBxlXsPLTk6SpteRSEGEVBwTijm18K9jEW+wbuSy3kncY44U8NtvBC3kWPGMoyCi0mFgcTwOBvGj/F+1AoQRGLCQxSHpml3mgmbPLQwV7M9ZcnmFJkgSJg3NYNs1I8m2MNsVCx9lngQweqaJRgIMhYZwQupSlKe2Yc0Np78bj2F8tNkpBXSEzfN2dHdBKuG+X7COuLi4pEPReLKv5rh4ZMonO9QlHo1yrxYKusPkVuyhZRCC1bfMvpc3Tw3XkWTOMnyYALVlZUYjcZPXEqCIKBUKpn2epnaeBGXLCjm2Vd3APxRRKvT6XC5PltKVqFQkJSUxNKlSzl16hRHjx5l2bJlHDt2jG3btpGVlfWJ/YM+D53Hd5C4+DKOzQaoMOlR55r/5z/uL/BXx2dZ0n18u8fjkZSVlc0+9dRTA729vfKbbrop5fTp080mkylUXl6elZ+f/3dfZ/68ihrPAY8AL3xs7DvAAVEUfy4IwnfO/33f53S8vyg+7Ufb1+Rgz1MNIIpcdGsuN626Hrupi99MT3OifoarrPfx8HE9q8uKiZ3tJhQUUcRN8bBwNyDyLc0DFHGWc5Tg8Bp5Xn0rXw8+xiLZIQAWp7SziHZ2da9jY8oB/B1TeDUZRCiHKEruokrdg913I+faonjk3FeJyVmDpvtpNqQepJ5ibN5fcnN+gNFZC+cUxTwk3MM3xV9QymfLWYoiSASRXG0ncerVTE78HhDQGwpZb4nmGYmcwvACTNEPMD35PFNCD025OoZldv7LdwkLWvewZvgkLlMxHcpR+o3NfM3kIT0ylTw33PVqI49fewtJqkj00amkBot5X/wKoimP37QOE1X+EMdaRtnjNkBzHb8V4khsqmJYWAB4eV+ZzYGgFrXXS6+goVcqAQTK5DLe9ocBCbulmXw4bZg3c5Rm1RYAxgJBkr39dKsSQBSJFxwMYuQayWlWOUaYcDj5XtH1hBFAJlDs72CF5TcMO7ciiFv52lgdq0f20h9hYKbbzbd1fyBdO4lpMkRWi4eD0etZN72PffrFRA+E+JHyfqyWZjyzAq9rr0BEpFOSRed5XpoU55So+iVRlDgDEDV32jHuSfZqcxCjPkwqna/PimHSRQfz1TbuW57GU1V7+a1yHqIokOudoUmpZUirobi/jbHICFLGh/BdsZVfGA1sLg+TG7ET5z4rptSryJzJxFXrorXvJKsyitj3/iTzZ1z4pMNMN62gxS6yNWcW2+VXkpyWwpE9p1hUUcy1G29AW2XgxvhIlics50TgBEeOHPnUNSTiPV9fbbfbeeL5l5ixj36id41wGCSSOZIVw8glcgLhEAiQasvBF5xGo9XM1WFf2c7A4CBLysuJioriiiuu+GS6+LwrUWf/BNuPtZGAjh9IkvhdfjLrLBF/8rf8cQlVQfZFAu/PwRfyCQd6DxhWJ62eVko/csT5/4NPW9I9/PDD0R/fLpVKuemmm5wAR44c0S5atGjmw9rtli1bHG1tbf8jW72/ZXwuRCuK4hFBEJI/NXwpUHH++fPAIf5OiPbDuuyHsOWaWL8xAMd/TYLidpwOBSX+49wZbiUnqYF94R+QumCcN7QryRg10TudQIlsDKJFNok7KAw1ck5azK+Fe9ioegsAqXRukubzapGpfFS7lvNBz2J8Lj0nh3LY6m1mwa5hmu5IQ5p4DU+UXU1V5zi1bjmPeKV8s2AdjW4HD3Evy4d3c7F+J3G6CSxMcqf4iwtrdj9RsvxYhlVEoH3GxpjjYkpMIXKTFqA3lvN2zzEWqWdobv5XbLZbmJroRZTlEfY3kuyKZ6X7DAfM61m89ByLXj9IOD6XK8t/Qoo3jtWpFo60DLG9wonV3EJzy9MYCh4jGDbz1cYZvu5v58mmX1JRcStKivmg1s7CSAeR+59j59YbaGzZRbE1gX22LEDAo1LzUXEW/Ho9F48OsktmuDAmIGK09LF68hgHIpeRJpHQobJR7jhBuM/P1snneH9BLheNDrJyoI5DCcVcP6bkhagrKXa1U6hyEBSkKKw+vtZ7kDuiJzlkWsgysYYKk8i4polb8n7C75r+jSmtjG9F38V1CisvGrchAL/q+xEIMCKNQ0CkwrEbdWQQz6wWlcZF/ayMAf0mAMbdegREJN4OzmnzKAxXY/fHMqhKBARKZ5o4rc+lQ7CQUmfnmelGiuU/ZKO4ld3C5eR5emlR5VI+eRzdsIs1xggOWqyoDFK+bjTxGHlIp7/PJeVKTtY2kZaVxXallpqIBGweBWVeN13Rk1imMjkajqZm2ULcooODDj8TIw00tZ6mfbIHTaSV9spWtm3bhkqhYsmSJXi9XtrbunBO/rF0rlQqZco5Rr8llpxZOx6vHxCwSCRc2FuQECQ8ty4ake7OLkS578JrDA4Nop1NRBrQ8eabb3LllVcik8nw+XwcP36cJVGzKHd8mbTLn2Hb8hwSF68hbtqLdWKYoFH7J1PLH9ZwzdfnfBH5/g9woPeA4bvHvpt2P/d3bkzd+Lk0IP05SzqFQhH+R9e3/ku+uxhRFIfPPx/hjxwr5yAIwq3ArQA2m+0veDr/3xECepJyWZ56B5NmGWcb7qKeQookdZyV38EbwXREWTogYDFN0TtwtTUAACAASURBVJZSwnjPIJvFN7mEHUhlPgrFOu4Sf0EO9WSI7eSFaxEkoFLNcsy9gif1t7Ey421yqtZgUjQRNmk5taGc9PgPqB1wcyTbw4LYdiSN3+ZXtkdJde3H7q7l+9qdpMa+jIy5NLGcIPnhc8g/XFp0nlw9Mzai7Gm4kj+4UKhNjppld8t+ioteoWU4j0HHm3x3LI8fGE6Sjohel0ty8tfp6XkcifZ6FgWS6ArsI188AO5ztGYtZ5exioKJDbxx4A2yytdz4IO9PCp/mE7Zf5Gb9xvMpmWIE3OTit+69Ty39E40WUu5MktGTNwQucZ6TiTdwg5By+aKi6gY28nN6ct5e9DFPq+HPNHPxVEu/uAw8UNaiVm6goW1DZzzjdFzro9M7RgJMg+P2ZYiICDpauEbklPc0red3crFXCIZJLFplCWxZRxXq3lOP0aBuReJIFCnT6cWCfXBWOoMyaAXkc9W8Vj+/TwdPE7J8PNk9nRx58iTLHSc4pRHxwPiU6yXOsgMPkvMWA9rHJX8yPAVjhmXslI5wN3jw7S6+kjzrKC+6xDRshyeXwulgpMF+kFOIpIX8HBOBf3EM6WK5eKJeiKnKzEmT7OwuY2T+o0s84n8WJHMlwL30uFRI0RATGIU3+58GV/0CI+U3U1hXxu3t33Al9Yv4RW7HzEs5Q1DPll6CS5rNlNSOD0ZZJ0Y5o6FCRxpbCBKI+E9aww1uQsp6Wsjsb+NtZHRaMsWsze/jLb+F5msiuGHC1cg79tJc8CDKFFQXV390cqjT/8+QiH6zbHszV0ITdUke0dAhIlQCGRzzWtZKTYmnJPYnVMgCJ8gWYAF8xeQGV+KTzYBNVBfX09aWhrHjx+fi6aXLmHVtt8jS1tNVsGcAUJqXz/bX32VrVduZVw3/gnBiqA3yMDBfuKXx1+o4X4R3f55rE5aPX0/93euTlr9udjkwWdb0r333nvGz9p3+fLls/fdd1/iyMiINDIyMrxjx47IvLw8z+d1Lv9b+KtMI0RRFAVB+Mw0hCiKTwJPwpx7z1/jfP5fcaR1iMf2vYy4/joqzEaGo+7loYlifmWbZJ59mDv8vySMBClhCiLqiJkeZ89MOd1CIWnhDkqpQUaQeZxCRGAeNQgSEUJy5PqFtDoTEdXgnOxjV2wNca48vhoIcSpqKY01GroV8GpLH3cZk7k685e09R9myv0+MiBr+l3E86R6PlOHQjK3sOXCxFEEta6P8bAZ9ccaoqbdIS7KNyGotxIpvE9o7AT3KTeTPP0uNtvNmEzlzLiayMt9EGWThO7n/pV6SzkFm+wU64JkX30phcFrKIssJWUgzGhkNFdccQ3tbWFeP9bDtvgyYmMUrLXIeCwnnlPj7SzKKgeZAgVQFNNKff1d3JT7GIrZJLY5X8Z/7jVsGQW8r80Cj0jO/j3sqlhNv0zkOy2DvGB/CJOtnB398YQLEziLgCGUD4KENUYt+5MyWNd7iqqEtXw/6XZklSq6DT5eUC3mZ/4avtrrJH3sEHnCDFOimhejL+VsVDbp7gk61WYye/byhLkNp7+HuoQpZC4VLc0neKlsG7MtkVgn13Gan3Pl9CvMGDNRxBTzvcbnUcyL5YrhQbJG/8B25TK0K9fTMx6gWaNFAiwTn2FJXgLDbbu4qCedBys81AvxrNZ5qPAl82bTDFUpi7g2sZ96rZySjmNc9v4wI2m5tGZmkDo+QFPVs8xv8NOVn8PFK9TstGWxZc97hOapuWZ5IXUnatkelvN0/zhjRgt3xJn4wUAdm0plnHmjlQZ3O6l1PtJsKtaL1SQ6R0lML6CyycXa3gG+FqHhpLiQm0utJHkO0qV7geaDTayouBOlXI3P/8n7XQiBfnMM1vFREh2jrGuqJtEx+tFFJ5VeIOeuU1UELXHg94Dyj7v+p6anSL84Brdbj8lkorm5GbPZzLJlc+WbJUuWgPKTwhgfdiQPKge5+4O7P+GfO3CwH8nhfgaB5I0pAHia7F9Et38GSqlS/Lwi2Q/xWZZ0f4pok5KSAvfdd9/QokWLcvR6fegfoT4Lf1miHRUEIU4UxWFBEOKAsb/gsT43+INhjrSNn/eclUDQT67n99xe9Cw5pmKckzLixh/gP6LupcCRSbxcSUHzQeozS6mT6umbtHJZxGso9XbixEkKhVraR7OwRg6wW7GZjeEdaCU+RAQEaYAqt58jps1snH6DgmgPR0IBTConXTGFXBfjwP7tfXxp6etsz32YX72hwrhigiTJi4iyIupDctYOnKQlIhqDfoZGSRGF1IEAdWIxC5QeQr5GPP5oVPIx3Mop1OcbojwhGUbzIlLkD4BPxOmbuxjyfHMNLe7ZXs5W/jszwXdISLiN4WgJ4VuDpJ9rZvvQDObcTViH83Fb1QxVP4Pqp0/z/IKbWLEtgwWtT2Mqf5TXJFruCgbRESbQt5PnXAUE/e/xw4I1TDgqeWUwiatzHsFqKeMq95N0Tz9NU+RytH4b703OcMnYIfQLcmmUqbFJwhyLKuVQ4w/YHJ1LUN1Fi5jKU14j4cFaBFsGCc4xQM1jSdfypP01Hjn6E0ZaDDx6y30gSJAR5snmfwc3JHCUt1lBfU42C8JVnFIvhrDIKfUm7FIXuxOv5YdTP2NDVy93v+fBHJXDfkkJ9xap+aaoR9KTiSR5HIJfIsGUwI+rfsLkkJyncvUMxbdT2fc6zy29HEEMc4fKycXRC3i/r4pNtlp08RvYYomiflzDvKCGllPvoMsu5V+mponRmVhcV4NLLuD1WLmq8gkc6V9iaX8XO03ZFFwUJkWTQbJUSmlPIwtWJHAsK5/VMjmZU3YEfRxjBhMVSoGbhzoZ+cO9tOtDuJPvQBwBXYqCfO8Bws58FpQuRpwJcluhmZ69r1C15GJqbVkkB4MM1oTJiV2Pw2mmsqUSX8BzIZo1Go1MTk7SH2Flb24p6xqrSZ4YotTlxC6KZGZkMD44htN9/n4tiqjiktBH6Bn6VOZZAEQxzIzDjs/no7KyErvdjjqgx6rPQKlUsmrVKkLBAJ2nqy7YV8JHUqmpodQ/8s9NWJXIwPnHD/FFh/JfH1lZWf7u7u7GT49XV1e3fvjc7Xaf/fi2O++8037nnXfa/xrn99fCX5Jo3wFuBH5+/vHtv+CxPjccaRvnthdP8/j1pazJjSHQto/JXa/RbF6K2TxIQf5VpNi+irT3ZxzfF49pwV30q8txSVQ8InwbTf8weX0NROXoWCk8Qb1YTGFMLTu4greFKxiRxHE7DyMlhIhAAbXcFf4FhfpaZIYg+dE1dO1L5LmhLXjWq1j3gyXMju8iJOnn4UujWZJ7KTUNXZx1t/Br4R5E2wMUh5s5LZnHw8K32STuIJVOHhHu5uue37FIaEQtH0NoisSc1wUChIUI1EyRLH0DwuJ5HWQQBRlxsVvwBKbZa58guq6PTmUZ45IMavp+zI80RTCVztbQJM826zk13Mtb5Tq+STVX/epGig2X8ZNZF09mPM6INB4GJpBLpdznrWHznvuoWvFznp8uwn/yNWZD3bwjXg6STK6XVPFmzykuTvwa1rhV6CKHscYVsTQ2mwcHpxDEMN+Zeg9dfyUVeeUoJDKu2HMPD8auhMzvM5Q0H0SBdHk9d/oPI4oiRaOHiQ+5GYvQMt7mp9u0mJ+3/eqjL1qUURH081/v/wxvgZbTiYtZMdTM86nzAFgeriU5ooFAzgzxLhFf+KfMGyln89FcFGY9gj8AhBGysghav01tpx57bxNjeUN82eKjua8XzCJXu9u52yLlzVAOvxaWc4/8GFneR9k9mgGChcbBYUYSMjgTbWWgz09LpBKxeAGI4lwqfDidGkkCAUsk7YlZ+IdeIHPQx6ORLu5K2sk+UeSh9mHudLaxOsnKvR19jIcCbIkx0jjpQLr5K3i1MShio0gYkeJSnWM0WsV6QwotZ2boGWpmYXYJi9dejbL7DGFTBstijLzj8aM6OEBbQT+VYzWUUXbhozNnWYhyxhBqb+M7mgW0y1WEJBLsPh/5mfPILkgl+ZIUnnzmFaac/QiCwLTfx8y4F6l9FIMlDqcozqWQRUCQMDQ+MVeLXbKEgZ4eEju0TM12AkkA9NSd4Z3/up9L7v4uSUWlF7xrAbo6u1iathSZ9KPbmUwluxDJfghBJvkikv0C/yv4vJb3/IG5xieLIAgDwA+ZI9hXBUG4GegFrvo8jvV54Y8i1/NYnhnF49eXsjxzrgP9YLCARw1f44bMIE7nf+KcTKLXfSVvnfaxrlxCSYmIof0c1cLFCCLYEsaIkOezSxFPm2iiQ8his7iDi3mLETGOGmER5zxHsXk7MBkn8fmllChqCAtWEIcQgJikXJZ7zpKuPEKbSs4Oy028KyzhzplfUDQVAfJMCsVXuLf+AVKz6pEofBdKZ7uEy/mG+EuunH0enZDKsGghVmtn2pzJ6y1qBMtJvpS9GcH+IoQnUalS8Hq7EQULAhMMjLzFUfOTPCtoubPwAY50r6JNTCJPn4cioorkJCU/U8mYjL2Mhdl6BJ8LENAVFlKIBaHRxVhsPLfFW5AIAoXOSUJnHkIV8rNCbeWlGYHtoWKgiMuUE9yeV8ixSR0PCfdSEGGjkFpeanyW63Ju4ohPyW+l2VwUGkAaV0J5Si6HQnoqUhZxYu13+EP7di711XJ85HE2e0pJkOwmLl3Ju/4Smn1SEvM2Y8wJku2b5Z7W/0AhBhk3KTA7/fhC85gJ3U2q+xdUi1Ju738JUzDEB+SQEx7jesmvsXoiSBwao+GiMiZ1HeRLj3CDI8B0o4sYq4zYpmkmJ07xakQ8bV4zLFlKnqKVfIeDRf3voTUuZlPDz7nffSUSyzhh4Rs4Jfk0q+6gxr+QuMl+kuIzucF3hv1DXVwUUnNaZeXo8AS6hkoCpmhCjlH+RS/F1dfBBnGa9IWrcY7PcoVulJKYa5neewDj/gc5k2HHLVtEXloKU20d7D06gt8cy1iwnmP98ax2TJDg20JDuoa9MfcwO2Snq3Y35KWzsFBBtLwBn7mROi4m1deJ2/gBUiwoPGpWFizEPTF7od5fd7IGc14+QlhkdMbLjpxivqxXoJrx0nlmlIa2M1SUrkXeHI9O5iIiTc7AQBu9Kdks1GgYm/WAIJCoMKKz2cjITcHhsLNk4UI8R45ijTBwWNFAlhjG0NxIVkYWiflFlFx3M4n5RXR2drJ9+3a2bdsGwPbt26kou4glq0uRyj4m3djWjtxvIiU/CqlMgj8c5tC4kwpnNYr01f+t2f0X+AKfJz6vruNr/sSm1X9i/H8dB1vHuG1PI4+LeWzIi70wrpBJWJP7Ud+W16KjpqiMr2RZKVBmE2ksI7pzN8s1Q+h0e/F4vwpAqbiHS4Uo3jZdhNzfT4qvn3blXPfsTuFyEl19bBY/oFx7lHxlLXJVEAER7XlRidYBJTlWUE2VIk2Z4pbOfbj6pLyVuJy3JZezUKwkV6zndO0QL7YNc2OhhPqCTOqEHJLpRCqK3M6jyEQPsbO92EdV5KU+jijORaz62CqWxV3D4/1ymqYz2Jj4NSRCmL6+pwGB3OzvYR/w8dIpN7/P1bMp5GK5+hIKCgVm42I53pzF/ukaDkrOcWvW18iIs7HQLrLaYqQweD2Sg1JWb1LyVF4yArDGYuBIyzjet+4iKDvLgaybWKQs4ufHuhmWHMdmOMGWRV9BJQmzylHN73IXUmHUcbAhwEPcQ8HQGOLJhyD3R7wnjWePK8wd46d4VG3j6dZKVpf9K98TU2k+WM/dKTbMwW7SFPN4c9bAO7o7qEgzw8r7ePfUs9wlvRj4MRUzlZzL1ZPc7yGp6wwBzU84vDaWB4W5Zviv972CALRKovH02YieqWQwIR2ntoOEPj+nJGV06fNZ2PwWj/i3sKmwkHPeAL1D7xKHHJDijLyK2Ms3Ech+j/n9YzxZ9lOelOWS421HVEl4whvBrcplpI82kxGZyZNeD+EYG8v+8ye4xTDOpUvIQsCXXYwiRsrzLKTUOYgv7MfTf5ZiawLVE+dY2/40qmteQLzhF1iTDpMSH0TS4WPhigrMhw+hHxyi4eD7xCfPsJoydLXt+FY5GIrO57sSL+7tj5ERkc1vc8pZMjWM0vsU4zMKtppH+FHxMo7OfAWN1Yz/TBdrIjfSGHkQR2s3zigDEYMOtNEBfAJkj4/y22WL6e1p4mV1I6v1BtQTw0QMncPWdZBOs4/Y9A2ckcnZm7uQJXI1sUffZDAQ5KTo4Tq5m6LCfKQyOZP7D7D/4V/TGWOChFTeqX+HtuNtLFu6jNjYWI6criU6ZU444+PLfyrKLqLhnWkS4xykFM7JNHZ2dvLqa68RMZnDpV9eSUqhhUOOGb7S1MfvGh5l3dBpWH7vF2T7Bf4q+KfSOv44WsUgb8v8XGyLINJbiVqVgCD8sSB5T98U7x3v5bKEKHJs+bzVW0Vg/G50Ue3YbLfR5b6IN4f8pCr6yRdOMyTGc0ZWyJTMwCXsYEm4DqvYzirFfgzyUZpnC0hVdgFhhPNxaEhWzmwokyODg6RmZyEGDzNs0bJj8lLi/L0YdDMcEtaSSgfxWjlI9FSpknlXspV2sjlFGTXCYmKZZBXvEamYIS2yl0FxKYMzWQR8UxiUHlyOInLGllPZP0ia5jkMxm209cXT1xVBQvxGsvNWkKCwEhzpwlhzBO9IPxbzbxkYMTPR18aGuE7SzNdwXeHX8TbUotnhpCPURVKbAn+dDHFqgOJFOaSpJTgdh0mLSWLEIOVMhJV/Md/IwuQo1oe6WNZxD7H5JRhKbkPoOoT01RtISSvFOfg2WTvvoXimhSXJufTpkrgocx6bo41cOvEBq9vvRxs1hNIynyx1JNHdTxCXm0KDqp/vR/8b5QYJ15x+ilSxiw0d+zjc301Fy3YyxA42959Ao83C6ZcymCihyl2K8ZU+Umy9JMu72DRxnBXh/RgjBogRRtkk7aLH6sY6MIaxNUxT/I18LelfOGbNxVrSxqJ4Dc+PBHDGHODalAZOuOM5kZBMaoyaUn88zUMt5J28i0nvDLuiKhiXRXLecgj17CDnIlJYqhildeowlep8vCYDOe3tuCoupSmngHcNJmJNcXwrMYYK+wg7o9S8mLEB2chBpnbW4ihbT87ymwkEg9TV7cUij+fYM48TNkSydN3FBOVJJGXPIGR9QFz2Wg56IzgTnOHN3CKyJmVM9I2xdF4hhpgEKloaSCrdQq9/MVpTJPFDds489SwBUwR2cYbu/jYm3LPozRa6BgKYE+JweaZJjk+ns7sZfccwx4MeajIuYlNeNusMaZxtbSLj7HFSrryaCXMCZS4DUdVHkdYbsEZLqdKr2DOvgsCJg7hPVBMWwpycFWghwKKly1iwbCnJKcmEOidp6u4kOzsH0WTDopHz5ptvEK1PwpYaj0wmJSE5juikCGy5JiSSud+U0WgkLjaWzLx0+ozNJOgTSNaoKNIqqWAU6bEHwVoCloy/yv3mL42/Va3jfyZ8YSrwGUjWKCg2aCjiLE0Nt6PV5eDx9P4R4dpMGooidVRkRXPIOcPt7R4qbKtZmLie6Lir+N1QFa9JykkXWjH63WRMDuJUq7mEN1gr7MUpaHlRuBmzZ5SDzhx2mW4ihU58EyJN7g0Y2uOIi1hCae+veGNqNcU530Lrm2J3rY2Xc26iRHuGCj4gRegiN6hEKe4iPD3EPN0ZBrEyLMSzWThEkcrBW8ElJItdWIUh6uwJnHS3sCKyh25lDmZxDH+PEV1gP3EaL2bzCPuqIxntkmC2rWDl4sV0nLPzaEMfe885WJYgRxnbgkHdw6mRKTbYKhkObuGXH8wjUv02rw//kn5tHE/4H0QhLGa6V4GhIgtzgoGRsYPUN9yO19OLe+pZFIpOViatY0N8BtIkGzv0UUwFXkGrzabflch45DzCiVoaB+7HOO0j39nDO+Ys7hCWsTnYT0eXwFUxPvS2VdTPRPLD2UyS+l5ilh1oHOfQKQZIEbpYbdBRP3CWNfZOdieWc3vyfeSMOtkyuge5EKZ7NEiV3UJvagY/jfk/JJR00G6LJ1dVR0TEMG6jgFe/jmcCmzHqi1hT/wbqRpGRPRZ2Fl9P46DI+sQIYoISlhcVMC0sRjLcTnPfOvpjFtISV0SROpHEQ2+RWLCOEYLM638Hn8bCKW0GH/Z7fzvCzVKDhVuLS0CQUz2r5Ia0BKQZC/m3KAs9Mhmp4RaqvBHEjY1y6uBBXs1dwaKxMyx57RCzUoGy9TcyY5+g9cTbGH78OOfSwhwxOHD1C3RVnuHMSTuCw03RqmtISrqYCPskUQEJ8tojmNtnGMyORBln4bdyNZraFqQtTn4yLeeYOoH20CxfXlCOsnoCh0zAgx8BKe6glwXtp5lxjSDfcBmLc9JRzYYZOP42C0fcFCXFkDXsxN84y1n5KIH4PKqy89HuOUiJvIzpyXM4NH1MDDWikMVQm5RITL8Dc6+e9pMv0NbYz4rmWkqWLiOsVjB2qIXhmv1ER2VARgkP7q6lKDeLNEMMZ/b0oLePEJ2TgEQuQ2eRc2z4GPG6eMSwSGdnJ+kZ6TSFa/nW4W+Ra8klzZhCmk6DNHHRHMmmrf6EdvbfM74g2v99fEG0nwGpIJCmUaFVz7nzIIZpaLgDvaEArSb1o/0kAqlROgJhP2dGT7M1Po2L43OI0GVw0DHLfwzAFcqzLA2+gVybRrtCw1vCVXh9o6h0C5EKOk6Gc1giO0qua4ASzWkKhVp6NJk8pr0FOyH6XE1o00Zxxn6Vq4vL6PWW4Gx5lyXWo+SK9Qzbs1EPZuDvjMeQcJYUzwQBLSwUTpEpHaci/CYWXxj9ZB869TSxwihW9ST2IDiVpTwk3EOE002FejeyNC+RlpE57eTZAO3KAVYtWk5bjYS67R2ccDrJi60hjgbSko5wfMZGv9BDkTaMXTqfS2O1REsfoVAbYGdPDpeot+AzpfH64BTBOA3zU0zU9KvYdW4Aq3IvfuU19Hk3clneejQKBe9PuLhjSE0KnUT5Lex4q5qmfgfp6YtIlmox1x3BHqnAEdvBQpWeKacLTetvKTz3KG1yWHn6GYpnWrCJSjzaDryKABIhTEY4hWHHLHfLnOREqJAnOVk0qCbnyUMoE/QMZQaI8c/gTgCrdhybrAO/RsLDwj0UTrWybHAUtcuDqGrFMu7nCWUZi0eaSBwZYc+Wb/FIZhEbky3s9no5jhWD42kuSwkSrXgPXfcSrh19l+mcMr4eN8iA4sfIIySkRM9DnreF2Yz1vG2fpXSqke/Lermo7DKmVBpSZCJxxx7G1HKam1IjSQwryY+IY0OiHr+rhuZwMjmhEHUqBSMRZpZXVrOm8iRTq3Owphby9lNPkL94NR4NxESsJBAlQX+mlSGDgQ6rDJd7gpj2afTeAHUvvEswtIzcxiOE127gmawMtkrClB2oY6tYTE+kiw+G9GRHTHNaZSWipY3gQCdSqRmXzIPEr0GUBkgtXEbvimIeVduwn6pkXXEuUeZItEoZjcP99DmGsSaaUfU7EBNW8UBKJNFSL8vKc6gcbGTWoCVkMKIdaqZs0MNSTZgom5rEwhxm22tQIsEeaeTYay9SdukleGe1TA/nYAl2Ife2U5abjmc6QNvESSJ3vYrRZuOY3kSfo5q7D8150gbGAhccf4qSiv7YQk8inYtk/0FIFr4g2r8FfEG0/w0EQYpWk4pabUNvKMBsWnYhovUHw3zQMkZCpIZ3+k7yr30aYhhjeVQCUkHAKpMR5/BzTYKXsYkQ0tBxzFNToAxzRLGFqmAqoaDAkBBFKdXYnaUoDBPE96ahFBMYl0mpjphHk6EIt9/MW/ISnH2nuL4oH8G8kGWuk7w2U8Kvzbdzqt9Eme0cEZo2PFoZoiKDN8NrKBf3IZdEo6UBt1rDb4Rvk4SDWLELvzeegEpPtVBOoqqLZG0biGEEAeqmIvENLSMsVeJoMvBY0zSr0j1EZAyxIeUZGlxLOTyl4IS/B5M8TMf0Ak4cXU1cUyQ5C8qJTboEV1cWW7u1nK49Q2RikJdaZilIiGRxupkDw5Psa0rj+boijnQbQBDxyho40xCkvmGEy6IjqHMV4B3ooiCzhEVLSvFJ3ahUccykLWJcmkOE9/eYZCcxRo1TG05HjG3Bbv0SPkspmXuewVGfRvy0nRrLTdTWGCkbPswy3yhZogdHlILs7qVY9RM4V4XpifYxbZDjtwKyEDbvABbpGOndXWzorCJxxoluJoBPJbDIpWfZ0F7mizZG3pkgOjeRlVkWliuVNLW2MGq0sLE7khJHMlGlG7DGV9CTm8GvZg3Mb+/AfPg44zFn0dW8gyc+jezU1czTafiOzklB6RYOOGf5amMv1r5DhNXP4HAm4B1QIfuP+8lfWcaR2S6q69+kXFbAu+0BhrISWFt9mGj8jKca2Vi8nqPOQSb8UsYmOrHs6aNSSGd6doz8plba45N4a8FKlvd2sqYgl97pKY5K/RTKjchFH0WBdBaVJLAqIoakBimCCA7/FCtjghScPEtqYhxLzjXRGCklSTCjEeVMyqcwTXqY6FPik7/Dok6R9ZPRHJo4xsjRI4y5Qnj1WhSTakxBL96mUwjSABGddcQ2n6R7qBVdWyMunQb5+DApARMFEYU4++qJzokjKnMlbZohhvSJDHp9lK3bwKRNQKWPIi9SwPDwD8m8YgvayBwqXxmgrCKbeSsWcjInn6829bEhNo1LbKUssS7BFGnCarWSlpaGXCYnOSKZsBjmcN8RQj1qIiyaCynmfxT8IxDtzp079b29vfK0tLTAn9/7bw9fEO2fgT8Y5lCrnaz4PGRiGNr3gjGJD9rs3PbiaQriI1ibms6sZ4DfTWgo0mtI06gYaHTQt3s7QfVPcLak0etVMBxlZV7Iz8G+dNKlQ9SpshAQiWWY14ybqBbKKd0/QEX+CtotkOj/gIrgaeanX0doso5Nwr/j63dQNm8jv7PLeVK2mM3iDr6uO0aU8RDj/7JyZAAAIABJREFU4haS45fwwFQBB4QNSAiTJ54AIIoxUugiI1yPSuIjSjVNDKNzbkOSy9E7neANcNZpY7FlgJzYBuZFdSFr7CA3oYVgzRkiU/TUjJugb5Yjs+nkRZ/jy5Ygx/tzsQrFdE13kLxgFUd6Dfy+ZT/5k+dIrX2XWW8316aaWLV+CVXjlTzR8mOKU/K5cd4K1BEdLMoK8Z3j93CqWcNXEuOpHpjkpdgkVljTuHFdGVOtj1Lf/zPoP0WHqoU3jydzZHwxFdEpWAfOEqtZQ1LvaXqiN3OLdDFl4UbKQi7qzQl823Y7G7MVrClcTlrqWrTjwxiGBjFaljOSUE6iTg5DpxlXR4NyzhUoJJPgnylgeecJepYo0btCjBSUM6x3orNmU5Z7Peo1t9EnTjEqqWFVwyO4jEU4mzq4LFZGhbsW1y8eQ6tIInbDcgKzYVYkWlmXV4i2V4dscD6y3FKa/b/DGFFArimLLicYTWYCQ/2MVR3n0txCDLOzaHUrWbr5CpTWeZxJyODJd9pY5tWQ12FgU0kmlxfGsGaonYHGs4hjdkbPNdIn0WALRjES9BGTaMVWfZSMtGiCPb0MJSUSPTtFYe0pus+dI29+KQmRZgRFkP1SB1FhHWZTkO74UWwZWYwNuUh1RRAza2LAlsvmgRGcHXX0RekZl0yTNuziSGoKW/Qy1NoGkudVohpW0xlv4eGclaRLhggqIpHax+iJNDMjuJCoDYwYJaRNhvBKvExGxRMMB0lx64gU1fjcg5yNBf1gJx2djfTWy3FOT9BjHCehMA6pTsXu93cw1efCkp1A/sUbsa1bS4RZS7QUtBY3seWL6Z86w8G2J7gkLp5VtgqkEikSiQSz0YS3xU5/bz0RMTEcGz7Or3c8jbg3AUuilkiLBk+jncC4G5lJhfB3Trz/CET7+OOPW0ZGRuQrV678LLuqv3l8QbR/Bh80D/LYnt8TbUwhdaoStt8A1mISMgopiI9geWYUSpmcBaY4QmGImgwSpZfzgv0sOp9AoyqGlOhdtFDC4+p/QSYZpDlyHhNKMyBSEDxHvlDH/KpmCoY7WbZ3Dw9suIy3glFEik4Wx8/ju0MKegUz+aKSy07+hpPBRJ6yz3CFejsWwU72dDWntaWsz76It8ZjeDOQywJOch2/JxQyIOBBKoQxznppVaYj83hQyoOcFUsoF44hQWSNag8xagcmAV5uuZzAjAGrqRedLURC7BDmFC+R5tNkmHpIt3WTJTrRhtQEanQodFOktMUQNfkezcIUN2eUYG5oYYlsKfYYM7p0G2kvPYsqN49eeSZxWoGhxjp6p1/nhG8fF6dtIE4yH03LEKsrKkBl5KQgYVNwCkV/NXGH/p267B8wL3Urbl8mM7trKF+4gaJYBx3qZpJi5xNhWERLy1GSPYNcKbOjd9dg842SnJNHnPunNIvL+e6pRFZsuR2nPUB4bBeynrX4/C/Rb03llD6OaEaRnHfzGfFKcUWtR65uIzr1Fuwj5bRNOImva8GcvxK7fJSW7A3cKi0jKuoiooPTSIaqWZXYR7dxJ6b4IpzP7uc1hY5T1SdZlpKIJSaWAb2e6OQFHI3LYXqii4yEqxmo2sX2947ORVopKRhckwgz+5iSv0tB0RaC+0Zw18NMzH40mREYYxeyckCJPHOKkolhbBlKYlqeJSIpD2n6PIZ8fvRT00yrpGSHcsnMt5HxtWvRuDzERSahDQzTrYtkIiqKwYl+soqLyFq7HNX+g3i76tkfnOBgZyVxxXGkBCyEh9ycyNRwX46SbIeGYnk2ZlFPaiiKP2SY2ZuXjye6hhXBEF5TB/aQltFBNcuDbixNbjTDfbRb49m9/CJWTxowDfYg8weo0wkkilpK5SUMR0SxRrOUZG02puw8hkaN5MsyGENHhEeBQlpK7ISG2mA94a4AhgkfPYnpVOTnkrxoEYJUiq/NiXdnN1VHX0drM5OfuoC0CTMrc8s/oXfsbXFgf7GFysNz+xVklOFQjLLP9Q45JTZiB7Q4Xm7BUz+BIkGPPOp/7lH9t4i/ZaJ95JFHzNdff33KI488EnXgwAFdOBwWr7vuupSHH344+uWXX45ct27d1MjIiOzOO+9MOn36tPaZZ54xp6ene9LT0/1//tX/dvBPTbTBYJD2/8veeUdHepZn//dO731URmVGvdfdVd/ube69gAF3bLADmAABQkuCz2cItilrTDPuvdtrb/FWbW/SaiWtem+j0Yw0M5revj9MnJA4JN855AOCf3/OW85I57zvNc/93Nd9DQ5iMBgQiT56vqkydQKH+PtUOBpQZLTRrlaSVXYNMpmcfKsGcTIGg7vZlzTwreE5dh8dZUdgnB1RE+OpJXarm7AGF2jT7CMvHCP3rIF08RCt82cQDH7OiVdwWmgmUxLnpdLNyNeu5zWJClIppslGMtbPkDqTiyXD/F3DJxFn1vBPgSDHVHWIBC1vcDkhlYSnhDvIiJwkELdwOqHjal4iT3AiEvwkkirEohgd0ip+InwFFsSckK7hFelNiIUkbwtXU8gQGakZVPIANvkyKmUKg8qJWPxBpSYlT9DhbcIin0MsSmI0eMnW+5lV6liRN8WhcCmnZDrkukFWnyrglYx3MSqUpK64nPvPxihsXclCWR2f2zfIWt8od4xdRbu0lyunBS696H7Su4/xKdcPyK9uY2V9G7bhAa46+Sm+6pSz2Hg/f58so8ZeTfb4GUyHfawsEGE++yPUyzGYOcPR4nu5S3sJp/RV1M/sw1F3LR2Z19KVVLA8XsUDx/QYpR0c7/ESDHYiruhmyazAbT/DzsRl/FL6aRyMYHPPIKggLinmW+fz2FBQjv9CIZoHf4ghrY7KKz+FyyLlfM99JMMOmvwSPO8v0uUZxClYOGLcwDZrNkb1RRwvq+Xb+ZXYxvpwyCR4z/fwevshZixRvrokpVg4xKnJdtad2E5Ww/WgzWBxcZFdu3ZRO/kOQs41pLvtTH7ra+yvjCCzv8ILIQuvKiqp8Kfo6f0VGY88gWrNpdhKrCR63uTwhRAIUpYMKkqCcVZWlrL42D+SFIvpO9ZLjriFjIF5Uto0gqEFIgM9DJ44jKy3H3lZGZlqKe5YihrnFiqnRMSGg0wJCxR7JKRLY5yN/Zoik5bJQBiJe4Yt8Xxc4g6a+3rxdytJpVJYivpJuFTMOU38bNtWKl0+lLIE1U4/rUsyOo2LDCrFvL3xahTJAD6jlO311fhcu0lMdtBhSrHeVIEtqUEtChIN70Tm6kStiqBVKRFNTzFtbmBHQwMqr5vmcA9ibTah3rNI6xxcEA3jr1uHdDJG59OzpGLj2IpzEYnExBIxjoVO4yguwliXg6N2BRKJlPr0OrJz0mjLbiPac4bFlx5H3VKLbn3xh7OPY4kY7dPtZGmy/nVP9y+AP1ehPX36tOKLX/yi/fDhw/1f//rXnevXr/cXFhZG77//ftd9993n8nq9wquvvmq49dZbF+fm5sQtLS3+V199dewvTWThr1xoBwcHP2yMsFgsH3mOWpWDTleF1bKGw3Mn+NKZH1KeVoVD7/jdTXYTfelWzlrtlESfIT9NzX5xKYjAIzeRIkWGdIrVcjF60WH2Gct4w7QVcTTAKW0jl3r2UCLvIkd9ntNCE7IpF9N6HQgiEAQKg0OMqhxMnEuBUkZ0/jWKhCdJpTKoihbhCD1PpmyWU0IzNZHX2T9iZMGYTTNHsKXGiSOhS6jCyjxOMjkhtFCs7uF96SZqnKe5WfMUhUk31cIxJiNJIgEb6YYJZEElUtUSAMkUnBNW8BPll7GnxvCMZWIyztO1kMu5g63MKDPY62ygRl7M0aiEnpiGYykJ6bUbMGiUpEQifjOeJLvcynGTiOtXtjAWepvKyXHqXp/Erdey6533yNhwG3qjlsNuLZtqi3gpGOZd+V6urbyEppiMBm0/w4vfx6y4BJm+gr6SNLTmDLoyFukLFlOtKSR59jj60jUcU1j5+okp1L7D3DZ6MVJjD5fX/ZqmzDLKK69DKayg481iSletQZOehmPhWeokp1AvmhEPhwkk8jEm3iPf3MXus1Jq+kdANIjG6KAzK5PfDLzP6Y4Uq5ffp6G+lZLGRk5LdTyrz8Q0q8H87b9n8fob2SLEWWk1cKSzC8uBTmor06ia/x5qyyT+qIZfye5hSRNDJlvNoT07KCsrIj8/QMLSSmXjLcwMjvPStit4OG8V8WQmx2QXseXCTvJtNgq2lJPRkoWx6QomgpVk19UQiOsZT4HMPcuKPDuJYJJohZnw+s3s9jrJNCtZFhs5Lh0mJpcQkUWR+0Mkp+Y4qlASDLiQz4ZpMVYjDomYErt5X9ZNelKHaFTCzPIpzlcJFIU0DI5PEDUdoqHmDWZ9BcgC6URODuKMZzIXL0O2FGRrTMdlwSLCsijSiWysU0eIK2NYBvvQx7OxBcbI8c+j6+vAvjzPibJqnq1twTfRTZUrQESnZUKYR24ppcm0Hr3DSf+CFk04gzyPitrOJIf7d5M300fPj9/miHCKE844DxnyacvT4xDPceK1nzErsVBYlM/R2cN88eDfkshtZH3ZSsZGRjEYDB/u14pFYmTZWYiUFsIDEmQ5/7qibZ9u50v7P2iq+vD5/wvgjyW0yUhE8O3cqZfZ7VHhj5Co89vf/taUlZUVvf76670AGo0m1dPTo7jhhhvyHnzwwYyjR49qY7GYcNttt3l27dqllclkqY9Lx//D/E8IrcFg+LAx4t+vaFPRKMsHDyHPzkWtLUIQxGRpsv5jl6LBzl7TKu7153OFVUNN6GGs8lYWRAa8iSQAQ6IyNpRcz94FgVek2yiNXqBTVweCiJjYwklxLfkXxvhU6E36klaKgj7GdGYaksf4QuQkleEIhmwzT8Sk2HkPx7yfUu0RkukV1MWfZpWihPrRt5mbNHCRvYNK8Skq6aIrVcOMkMVPhb8lTxihgi4EAbJSXs4KtaxMHafUHSdXcxSRkMIggfP+T6KUK9Cquz6IQAVmg3bs8hGEFMRiJfzS8gkGhh0ED9q4LXWU/NVnkfkdfNGfR29MzxEENhVX8fLpGXb2OBmfD/C9yiw+tSafFSYNmzMs1JQ3Y0ulo9q0if6CBlauKEOf3Il0z//hO4MLzEzY+ck5DZ9taiXfP8azFwbIE4K8nLKzUqlmNE9OMLadiKiF7sR6HhQ10To9SW5tCw/FFfTMP8WmtDLycmrxBIwwYiTNlkXHc/sxW6qoXr2VdIeZab2PvQe3s9ZyBuVSHib3l7BWFxHUv07t22Apu4VkTI16Yx2+9R0Yaj5BaELFMwv7Kan6LD+wXo7HZuPG8iJqzBNoF7bTlp7O+NpP8gWpnmvKHWRET1BibiTLX0Xu1vWYiuux2+oY6aqnKvYu1fIbuGxtFZalJdIKAkzNfJviqutwHplke6eaZxxabpYnKNnzKCscZ4lNJ/lxXjMO8QjK6CPM9gkceTmJpjLCyi3XsNg/yYW5MAXSDDKW8kjO7iTisFLXtpmi1bXMTXQxlOHAIE4RTYiQhMNkJ80sRlwU1daR8AYIxvORL41hUmagNcSYGT2LSKSjZSJGtieB8oIbxeIkUUcZscwKPD0yzoiPogipIaQiHksSNxuIJEKoPXJml9IoLUwSvfAOE5lKIgjoEzJSihg+BExeN+lyJRLnLKZkHNvyNFK5lhcz/OS5EoxZBLT6QU6WDfNo+R1kLidQykNcHley7Hdw1j/ElLyCPWkDrK5NUqc4yOb0LErq1jItNvLd7m7qI2k0VVYSVlfz8JwGk8/DsddeJj0jnTTrv8agCmIxitJcZFmaD9J8frdH+5HP/18Afyyh9e3cqZ/52t8VyPPzg4ri4sh/fcUfpr29Xb28vCy++OKL/f/y2VVXXVVw3333OX/1q19NFRYWhvbt26e788473R8L7f8n/ieEViQSYbFYPrJs7N+7j+m/+RsGLQkyylciFokRi8Qf/ur915uISTflIPLF+FRJA1ZjFRLTCp6c8wAC8niYhEjKaq2eZ91WlgWB7OUF1s7tQ6330SMtoiSR4qbgY+zLbWCvaRNjOit3x32snX6egsgEwUUXP0y/hMaxM2yUF1DjyKbLdCffmM+nJWs9F8mzKc1cwajcgk3yOjZhhvNCI48IX6ZROEYzR6hJddJDNU8Jd9Aq7MUkLPGu7DIc0h5sknH8S0YUsjALozF+1Hsdel05fYsRCrVz6GReOoQVPCncjn7Rzy0vPUurXeBEoJysdCN7XdW8axAzqn6PEwlocRRRlDdBbX6QNJMf64yG212gsespytIz1eNB6DnFzP1fYqKmjTvbF7k0+zDToreYiopoFzIpPV/ONRuL2FAZ4u+dHo4Y1zEsT+dAogpTySpuKKlnadTDymM/p8JWRUbXSeKnlGytLaEsMMV1/T+layyPzS3XcMXFxZiydbhNZWQbczhxaID07Fzs1Wa6O4ZId86jsgwTOn8FtbdcR8IaJc28Cav9Ygb85xg4nkIi0pPtbuTocg3lR5Osr9vIxVERp2R6DgQ+CDlfY7RzamSK/iPzrG5qZm2ODWnHrwnEt6PTFZLTsAFlmZWoPo9DHXMYVpaSEdaxbU0NIy88g+TBH2LKTMc40c58p5ZedROS7iDldi1fby0lFjdQptDgfreLtPlpzjvfpNq8mfPPn8bU5kZQ/ByDrgqVrYrRyUFK0zNJST2cqoZqUR7jbhfjahffnupmT04jM+NSWpTLbKndTE6kFr0kiNFcRHbHHOnphcR6XyGYI2BoLiV9Xk6+zI7OWoRVWojZVMKoaIrpiJqpJRFGixVd9xTdeUtY1TK0Wi9BUQbpzhjNmjLC7naWzPN02WxEpRrieiMJRYxMUQbh5Rgxg4KocxpHopYKVBRJtIxJIjyxooGi8S4i5gLo6id7UUw8lCAqW+at6nKivknSOp5kMTRFMjbE2o1bydO2UCpRYZ42orLnMSufIHOon5YLGaQSKdL0MtbZszCKR3h59kVqy2rJM+SRTEZZcB9AqchGJJYgtap+rxHqI5//vwD+WEIrs9uj8vz8oHbTJt8fY0WrUqkS//RP/5R14403ujUaTcrpdIp/+ctfWm+++WaP3W6PfeMb37B5vV7JnXfe6T569KjK7/eLt27d6v+v7/znx1+10P4hIsPD+Hbu4ufmTgwllR/YAJJR5l3vEwwMo1Tmfmj1OdTv4nsvnKMq28S0KpdoCtbp5XQuTOIT6wBwjk0yrFCAIOBUWPm0/w3W697CGjKxT5ZHkf489rCYQ9J67nT3U1+cxxeFZvT6Xt6QXcyMwkaGsMgt6pMMRt/gsK+YLnLImZxi7f57GDBvYHXLFfim/GjN6WhCR8kTJqllmKzUECIhiRUXOSIrxZyjOnUYh2gRQbKMIRRjau/fsZDwUV55lvpcA4emm5gZ11ChXaBXlc9S0k6nqJJJtZWN5n1kO/aRnasjy/E0Y1ozZzOvQyE9Qdip45LJWfpHt7NH3M5k/ASXNq2huWEFyjwNfS/v5/iJ97FWtZG5oYncreupztFSkCMiPZZOsaqazBWXkGbRkGcJ0m8o47EFA5ukM/xDbhCjJp/77BlIBAmvDqXz5KgBXePNTAVERHveQCzSEx7pw5xTTVtpDvU19Uz0LXJ2ZoCBnYeIaVLMxydxu8fxaINcOLyD/MqduC9sZXZ4AzrHIGPTXybDdiXJdDHv+tp5pPJOirNeZl9Sy/bMEooyoTkV4d3XDvFcWQkIArdlmWk/u5sfSVfSbIpwReMGmJ1i154OLIoaKlbdxoGj58kttLHrSDv7jor5kSbG8flfYtlzjq6jR9Avh7BddhOzc0Z2n+xBIknwatzEtS25uLqO0n6mi8qqzaSmfUjGemjJv5GygpsYGIwyF4uRe9JJlnUN/ZYA6SNi8qcyCWR6eW3wCWTvDnIKAbvPyLzMRr9WxwbfLNrjbxEvryM3NIXnwBEmRE3YM4t4TbuLcVmI5cUwc10DyLWFaMRJRCiYDntxmQOEHRJUEzPUKVcRn5KyHOmlCBdFkRiWrRMsByzIXFLmfbPEBC+NsvWIxKeRLNcQ9ywiXhpCUKcRlAdQ+gJI3XNYdNl0axYwxozYZ+ZRTTgRR7w8vn4TMmmSlEtHXdBLc46NWV+MnNmjFA2HiMi0xFpakYbjVJ7JZvzkGAsv/gpLYRE5nhgFvSUICAxPj/Ju/wHaHDmUTPhwrGwloqnDrpSz6DnI+fOf+w9++b90/lhCK0gkKIqLI38MkQWw2WxxsVicuPvuux3bt2+3njp1SnXXXXe57rnnHsdvfvMbc2lpaXhubk525513us1mc/z73/++bfv27db/bc1Q/7tj7f8A0XiSk+nl1Dz8MJ8sEn0YseVa2E939+cBEdXVP8dq2Ug0mSRiFPHUBi/7pVG298wB8HBJNrWWXOaW3ORHZ3hbl8tKXzcprZIzokJ2WC7jBxdOEuMA5YvHcPsUbI0dZckB93ufZ/JEJTeJVyMty+Nsbh15gQlO6yv5ujPBd+wCaeEjCDSTrpHy1eSdVE++gogQDUce5XjLLUjEcepTxz5IQAFIgSgVJ33sTfS5UwCIU4s8wld5eOwBJuudjC6VUCicYVYySq76MVzlfQyZy/mJ8BVWBg8j0qbYmnqTpczVtPcrsOXlIBJgi+4A+nkz9ZazHMooZ4NawbZjW/nHpQDRlhpurbuI+b4e9O1ewu98CdsdMeS2CsTV63i2u5/Vnvfpm3+MEt0DyLJU5CRzeeH0Kyinhrj8s/fyhClA+eHP0R+VslW/nrERCzOG2/jpwXE2l2/jZEzgsZxSPnP5J1BL2lGVv0scAfG5dE4uujjVaSSgmmGjUExW1jixsInl7nz6ptzk+ldgI4+xsTALV8rJq1pN+rLug1D6aJQrk134kwHkg3pWV5dQJwoz/cJjzH/mDi67bgMatYbRxTE26koYMDr45OCLbCm6BolEQp4jnxr7BiYPx9m7dIbeuWMkk1FS+gNM6sZpjdezxVXEcCBCRSBOXnMb8sYG4op+irxJOuJBbtuopyAxw9nX97MhYzWBXR7iSw0UiXxUTRUxUxjlstuuoXPpEJI5A/tDY3y//RfElz/Bb3IMeNdm8KljnyJx6DQrBl0URMzYFvu5tiRB4aCO6lgpr703ztDqbK6qy2S6bJCjZwZIiZMYg1pa06+k0zrI3uVezIkgtb4CzvpcWHKKGFjwkBldYs6rQT1xgqaacg4q85lOask5P0bdwmaydFaOO9/EFZMwqHgNdev7OA/pGZYkMYTsNFrUTE5LWJjpJE9aRoW2nm7DIh2+c2wsk1A/qGNcSLC55wQ5HidRXQqJQcWZZCYncvTovQWkNZQSMJbwSI2Kq3a9QGbKTJmhmcAlWTgVYuwVLWhdp5AUl6OXl2CWlJExM8PsF+9n+Sc/517RBA9oAlxb0YCQcQ86fdPvvQ9S0Sj+AweBFNp16xBkH89A/mNx3333ue+7777fi727+eabl/79edXV1ZGBgYHe/3/f7P8ff7Ur2v1989z9fCerVtexobj6w1JRMDDM/Px72HPvIj3taoaGRjibFHPXhUmsk7vZLipks0yBe2iOCUHE4WAYJ2LsQjvhoJo+bTFKwYVJgA6JgxmyeNj+GQqTkzyy8k5aoye5IjWKInsFL1ia+Hn9ZSgVCkYlRuriQ4xKMxlXZ1AQhmsHnqTZWsB1x7+CssXGkDGBLXUKUXCBk6kIOo3/g2nJ/8YCKABGnQ9B+CBxOw0nxfEMRsV5PGVrZLP+OB6xlh+LvkKe1oUjng8+N43qk2TKZmkRjlJkruHBaBOrTe2skoWQJ6rReiD9wCjt1kt5xn4xlvQXyLEoWFRdxruTagrC05z89UN48+o5OlfKe9ES7NkXcWhumm8vxjC8foDWzM0Iex3Ien+EpayAzMo2iqqqGc8tZkNOAQF/DLeog1BklIDQQ2omyDuzDkbmA/jPu9iY3s3C+UeobG5ANJfOvGsVr4hrKch5HG9EoKZmC5P5S5yQHeeS1jVcGFvAJwwTDkHMK+OYeobnSlZSb9RRaiphnyeA6fQZlr/wAMGMchxlTWxs3kyvd5mFWSeltbWMmpcJ7DjC7PgAooCfuPcd8gxvYgtlIg0VsLfnDJPvJynfkM6sci9KaRYiTmE2v4aCXC5MdaJbsFF2oY+GHAeR3lmGzXtYkr6GtH2SnPMLqMc7sV1agFNTxL5RGdolMY1aBcPhPsbMYCtXM56TDq4gv7zwC8qOKLjKcT0b111CqGyJl3c/hc5jZUZyKfaho5jLjTje/Tn28XlUJYVozTmIRWEWIgNoOk6zX3ySgm2bWFnaSG//OO6wApPKRGHEgnohSIGuhlRilupUPkFVJ+75GQJZi4wn9zEUtZDrkbFC0UAkmUNFLIvjwvvYQwWI1KuokpQyE0tyOLaVN9Y30llSRvOMgbUhK3LXAhpFgANlhfy0MptiXwcFVS8Snxehitsoi+lROxeJekdxeBzYQ2IUvjHM3lmsCS2VsSR2T5iKeT11ilwEARL+F3hn736kYzLkMxaU9elMRRPs9J1j5ao16KprKG1pIs0Tx/vEMAvqKb7R/0MqrFVkabI+7DD2HzhM1z/8itibz6OsqECel/cRb40/X/5cu47/mvi4dPwRZBtVH3pkxf9mj0apzEWnqybLdj19Q2P88/sH2ZhpYVOuDaNSxbsRFStlCc6olHxCPsK8xIonlmRYKMYn0wECi4KFxZQSEBhU5YIg8OmZN7nOtYf1iyfRRJw4lQ7Kg68iD5rI0lo5KjZQTgZzg13cJZskoj5AraWKiob72GNp5tVkKU+mNhESfOisE4xrC0ljHoEkS0saFMoPqizRkJZw0IxUsQxAEjH7neVsyPJSmHybVdIjpDOHb9nMHvnFVAY7aLQc5a34FbwhuYHm1GE07jlyvCO0+dqJafop6zuNvvpa5gsOsqH2FvonPRRN9KHN38fGEhvNqy6CVb/JAAAgAElEQVRh3YoiYjoDy7Yy1EENm8pX0dZgZ8Edp/NYD58z+ym7/vOIGGA59ARItmHVB3hKW8Q3h2dJicSsE4cR7+9BnVtLfLaYr55v4+a1JZj0SlqGY1zZ9yQrp+aJVHSidzbw2oSEt+q3kRcrZ0PVpRy25vLAso6TQgve4CQ9M3upSOWTGN9P621XsqKyHLMxzDVZDg7ML3F7zzj1hQ6GZJk84U4izHWzW2Plp8tJtunUhJxnmNn+JnLpKtwyN3FFnGdnL9CiWklhzp0svjDIryOPU91aQ5/vPUqsz+Cf1jLu1BAL2+nuL+OGngmK5fOYRAb04ixiq4rw5L2Os9OMNFFNztkLyMxOpvJ3Ub/qCszeIPGDTzIsmuKovptOaZzevhH+2WDH3DfIJtUGWmO1WBZ0lFanszA7j2G6mRPSPWwyZFG4po3DVjk/M69CpVvDfHyKftUQcc95MkpqiEfnkbqk5AkFnNj5EqWRPOKaMtQnnkedJWfWO0eOppQhbx/zhvcxtR4kGCwiNDDPXO1VPL3xKtT+CDpBxnjPm/ii0wRMMkw5MTQBLeKMYcKVz3MqaWREX0LL4AVun9Fygg4MySBzdauwDSRYHVJSPuwkMK8mLbmFM+p55kU+zHNRzFI7FksuB2Td1Cx6CTmHCSUtDGnHkY4exqBPx6gwIY7DsESMeCbGSLwOiT7FgPM0Z3dH2RV5Bq9Uydo125BIJHhiHTzv+g1tTXVcXHAxrbZWjswc+bDDWJ4s5ch0Lo4bNpGxtYXBkZE/aAn8c+Njof3T87HQfgT/MsNY/O8mwvzLSEZBEHMmIeIRQcuG3Cw2WI2MuybYdvafybVXUiuZpyz4Da6VLDE9JaKqR42gnsOtNAAgikZIiaUgCAipFHnhGa5z7qTdtJKc8CzLLZfzvEFFZDLIPaM/xmeu4Tu2CNsUcbTjr/EtyzdovPAW49Ekt0eKGEiqqAlcoF22BmRtPJ3aQh7DpKXm6VdUksY8YhKIJVEkimUSgoROoZ7JpIMX9J8gOyJmna6LRHSW2UUHSp2fsgUnOssk4zTwluQyZHNdJKfcdKpD7DHdgV0zTINtA9kFdyMvvI6wt4CdCzH2T/4fqhZvpbUon6y6eynIMDE6OsKjZ3vYbrCyJ0NKNEPFBrMKs/gM64RF6of/AVHuSg5LAjh17dBTxAH3Ef5RVMYlihDPeqKUBASMP3wFs20bqZ+8TXZLE9kb6ngk4mc2EGSlXIfhSBcGx2V4x6qYk7gJLPvIHJ4kXFLFg04/N+x+i63WBB09O7lo6NNUrLazsqyZpM3IrM7Di29/k9zsQownLuAZ7qdtcR5xrgUZMSbkEt40ZJJ7bpCVO59hZtLJKo+csow25pND7KKbtSO342vdRMA8jl9l5dExP3FpHkO+o6ywDOMIFiHrM9Lj0pMfLCfNNoZk81kWXBYC7cdJN+SRfulnGJvU8EPrftas/xSCNI2Ci+4hI/Mi7JXFzCRhe2geXe0mcvxx5tS9XFqkpVn3A150pghkFpBzcj8io5pumZi/zdJyldtK43wGyQUJOxbPs2N9A5dYNGxzq+hNHUG6Mg3T2DizU3Nkqgqoka4haTSgMdgpkamxlOmY23eQfmMuh40uoq4z+BfDSOUNjEdtZBTWE/K5yXKGSU/MkD41QlPnaQJJMUt5FzCsOszg3DST0xJmk+mIJ2ewD46zeXAGicaCJJiDzGjhZLSPSFKM2j2AGxmepSb84lFUXi+KRS9h5UUkorMsiMGaitIsasPgDxLOUTHocZGmtVFxUQ1pI1IuqOY5IZ5CpV6JQatizC1Ce/oY5lwX+mwHt2+8DplIQrjPQ44tD0MsjfWVbRSaChGLft9hYEjXkubQU7CxguGx0f/SEvjnxsdC+6fnY6H9bxCPLzM69jN02ipEog/2Z+wqOTU6FRsseg54/NwxEaHAUct3lw3Uinwk9bV0+bp5WXslCvEMPVY7/1LHTYklQApSKVYu9/OOdQ0pQcQ3C79AQqSAlIZvyT9Dc2iWU9osHk/bQuOZh2iuaUJj07EiZyUxv5voyGFWaspQKSO0S+x8fuIF/saexUg8xOrki/Qkt/KI6G6yGWcxnodePMc+7yZccgePCveSJsyyhR0sjM+TrTnF2dRKuhRVPCu6DblfxOvaS2kRdpOPQIGzi1xLM9eNP02J1kml9BQJr5ZMdSkDHdN8r9fKJx2VZA4WcbnLSq/HQH5zCSKRGIPBgFuh4mA4SaFEwrHlEJHwBJrxz6LTbMZSdyOioo3Y0koYX8xCKfeTTHuNNmU2slPfYFNCydVrtiGvqKVHYuJA2ybeGFSyRa2isduLeTZMcCmdnKsvYjgzj77Rk4hrNERHHqdxzeVcXteKGPi8Vcu6dReRlZNGml7F4dN7EE8n2TdwDJvEwFy/iHW5VZS3tCEa6GOHWMGp6VlU7knUaZlYp4bZtjyL02QirjORFJawTToRjXZQrlfzeIWXV3X57Bv8BVtqCzCLKukYfZoKx/uY3OWQe5wZt5+5SBJd0IfHM0giksXcQJCgNILoi1ehWk7n7PMvcVXaatZ8+m/J3XQ5aqkd96tHOJaUEyxapis8x8HstZRMzlEkVZK3JGN8Tspw0siLJQ2US7IxBrpIH1VS6ZGy3qnE6x7kfELFBd8Y12aUsLHTS3JgJ29bD9ETmcLSE0NuUTHMECHfEgf1Y8xKQ0xJXQjXFiKxyek2FfHbhnpqRpw0F1ZT7t7AWfFpCmJ6qsKFFPSexRMeJxTNRCTNZrRkM6UnJ+hQS3H7q/GFephIeHEqyymbiCDKHeS8VMAglVKSyCQFjCimWFDGWVZF0SkizKj8KGIJ3Gk6JhRzJExxfEo/nbIOrG4RzrK1tMkWsA4lWWNcQ25zOQGjkuPHe8lNhGlVlKBxuMnydxM1xlEc2cmsex6XyEhw/xDio348kQRn3vZiytZgsWmB3+8wFokEjOkfzEDW6DQsyhdpqGhAnBIR7vMgMf55j2n8WGj/9HwstP8NRsd+xtjYdgRBjMnYDPxrwo9YEMiRCFT4LpAZPsvq0SdZUg7xYPhqyt1TNIZd7EirI/W7vFEAklEQJBQEx+lV53Pv5AsUBMbZaV3DSV0Zlw4/S25wmhwGyMs9zbpAiI0Z+bxhKsQ3/wCT40q+qtvEO5Y1MOfinEtBwKjEaM1nKC7j5agFRdSIVtzHCaEFi1/gKdXVxAM6XtdfS0m4HbtkhneEq8hYmkCW1sCSJIvtwi30icpoSB3jVvWPaZyfIjA1TVz6PpmZWn6huopmZRZPnCpjdVqEN45mk9vbzlsyLy8X1mLJ0HDX6lK6zrXTc+4FkskEWaXlSCRSqtIs4I2y750hLqnM4LsVpUTcubQ/pcNUVY3O386x8CzZAQs7n3iOUOPnWZIs8q7Tgy9QQ+H8Yd7Cwf5Te3mqtpk1TlhXk0GWSMR83zIrwuP0RiaZ785AEiukKWKkqW8PLlUGC4V1fGtkjobyYgTnLHWOWhiKYR2FZJqU1/XvMJvRyJtFrayyZdCzbw9v+sO8lV/FSFo2+UYTL6XZuVEGt91wNcnQMol4gssuvpPJRSmHHFIKTvSxfkU5lUYbtcpathY2sLNjBxuVp6hLcyIsG5G+o2XAN8vGC1rMi07CuhjWT1xPZkhBSXsHJWsuw7RqJUszPai73uOkZ5icogbOPfQkqok0dhw+xoJumYSrm9tnqsgYPIF/ohd9/UZ0cQ2F1jK2DsrJyx1k0fEQWk8J8jEPkfkezOm1zKkG0UXn2OrJxdiWiahOSVAYJ7wAtf3LuAUJJ4t9CJosCsUx9C4xW8Vrcc0l2dHzc2xqJ8L0NE3ZEYrFhcj9esLTg3gHjxBKBvEq5pCbp4ksLbBkEOHLjKNwmPGOJaiRxli9r5ujZRXsXnMLjtRZGhpPIF22k+EvIJwIUZiyYUqqsSeNZJsWmQ7rKEql4QhpKJLkU56041oKIpeqsJVqOLG0zE9ba4mNdmPwuVlKU1N85Qo6ZV0UJQop86UjRoRqSYtanMtY1IG+qB6jX4N0BjJ6+5Ca8xiSuHhfeB+Za4DqugYE8X9u3zk8c5hvnv0mldZKMmZ1uJ+5gCxL82c9pvFjof3T87HQ/jfQaasQBDH23Ls+XNH+W8RDe5jaeRtPiPpotW/DKq9DGnHzvGYdN80/S76ug8FICWGJ8oMLfmcLWpTpEQkCd069wgVNASf0NWxdOMygys5ztkt537Ca9RPnWXG6nY54jM8rLmXa5WDQVcwnQzswaQfYY2giYFQCKYYTcoSUgtlkkjWafNrCU+iiQ1xBkFgyiDMKtfIOtkrepzTeQ4FoBLUiyG/Fl7EytYNm4Qglxkp2houon5/Fbj3Mc6HLCUzoqUvL4mq9mSuOfJlVrdtYsfYraMan2LMsZ3N6OZnl5dzrSEcY2Uv7zG5K7cWc2b2XjIIiTLYPEo1WWXXU2PTcXm7jmC+EL5zOE71zrLH1MXDoi/zz2CCJ8ALqdbfzj4ksbsprYjS5zP701RhMZn4sNqIM9VFsdGFd6CZthQ5XRzdpS0YcBiuhpQm0lVqKbSp09OG6+ChvRUYIhFdxe0kBqq4R3tv1BmkZaUxnzBKOyfmy5nWy1OUsdIqYzcnEfO40vuEBBtKzmdNbyHNN03pgJ5pkmJyQl8bmZiSJTAZ3CchMHvwXuimRlWGdGGFRWKZ7Ksyj9hKkHcO8dj5GdsSD0WxkeXc2uyJZSBquI5Jag0c+SjDpQz4yhPr2yylr2oa8sZFH33qAjvhOitb62eNxsq8/hv/EIeTOITSrspidmCUmCXGjq5J3lMso61v59I2XMStOo3v7i5S1VnL+/HNUJrewOJuL0jmBqFqgLx7lvGQWv0qKePQEtkozpy88gaX8HMlQLamMVYQWpklbzkHtD6K/MIEv6WcpLjAxG0CzOI393BxNo3PUZZYRffIXDOYoGFvqJSQTgThCMm2evE2TKCL5LHkaEMmceOdmiGQXYj/TzWiuid7sAtad7kfnT+FPpDPrsTAmchNdHKdAXowxpUFmGeFQzVkezr+e9V4t5qk+ctUlGJEhDo6zVrkCszKJzpRFcnaUzRE1Edta6m1SXojt5PxvO/BN2jBVmTk6fY45zxGi6UGsc8vYNHas+hzSFGaWLCY0KNGUZBPoMJJ+4m0ysq0oCj6w9kSTSXa5vAwEwjiUMsSC8HslZZlZ9R+GWvw58rHQ/un5qxbaRDzGaMdp9GnpiP6ACV0kkmEyNn+kyAJEdbmckZtplByhqOhWdg1Ns0b2ME2uHjZF4jysuoIJhf0jr71n4gU+MfcWMamP3NAimniQ522X0uo6w9/Iz1IhLudnMzZW65IslqxnvzidabOK+qVO7pl9jqTCwK0jL7A6eJQy3ziN4j72y8q5Ns3NhZlxdoikzKpT7JCuZ1rhYFAopZBBMkVzTKdsTAar6JcV0JqaRywsIFqe45SohtzxSZKdcl6p/zTXBXdypsvOmHUVu0dVVCSH8C0usKrvu+jjhWTpQFSxikKNiudmonxLs4K6gjK2trbgqKknGE/xo3MTeMUpLrKbaV9a5rbuMS51WFlbamVVXS2hSAYi1yIVjj0sLVn55IqLuODuo+fsC1yu0nPF7u/iG4kwnraIbWGcr8xfR25pGaNV+dD1PulkQG6K8BYNX5n7BpsnVzMyU04ytpVfZtpY0RfAuccDG6vo0/r50Ykv489uo0O1Ec1xP9pYlPLwLI6pHmKClKqJIVQRKXe89jSCDiZUesSTo6QZdGRV5HNCucTGpjJm5/vQVeQTkc9ifecgphWlGAYnUJ94jZWmWa485GNWW0yT6BLGaqIcHcpiVaWFiMdO3kwnO+19PBHZT3XdNo7tex//m0foNIWYcefhLv4ke6xrKBKFMfX0Q66ItkuvpSASInttK8q6Gi5dV8Ovz+xA//wrtJ7ahXOoHUWyDGmiln2yXrIcAsG6pxgJisme1KKPLTPpHyco82FeOMTMqIXpWDW9cyJy1EWI5HUE0lNEiSJEw/ijk8jVEmIRN/P2fMZKyxHHfCQmprCnG1mamSLLaGE27EehyGM2kUNi2spyfICQOR1rWE6TbAUhrYwehYVXtlyHfXEOlTwFHjWNyUoSiz6yE2qsimzigsAxTTqFrihNc5lIZ/eiUPiJWhc4q7UTXYJYyo/h4AE0ZjuVkmlez1CxvcSBLRZnbO875PivosTkQrvOzJHJ0+zKT1A9oabAWMmk6wK9wSOE8yaJFzRiW5NDR2SYzOgIff4+ctasQ2PLZq/bxwVvkM/2jvOWy0symaLRoEYmlnxYUhZEAlKrimQyxeg5F4tzAfRW5Z9dzN5fitDef//9tiNHjqj+Uqc//SH+qn20o6dP8vaPH+SyL3yNwqbW/3A8mYzi9rRjNq3+T0UW4IAvzJeDK/ih/Rc8MGrkbbWVi6NSbrD+mB+or6JbUQEkWekfoE+exbJUjT7mxyvT0aMp55RkDX+vGue6yDgxRSkAxrALi/g5Xsp/jNf1rUTnD/DeYghBENgm9VOhUdPtr+EpzRZqlMf5zMQ+4kh4L/8n/CgrgHJ8lK8ZrgFETJAEUhRF+9gkfY+aQCdd6lp+Jvpb0MDlyVcxk+Q7fIWt4jeBJPqyYQozXKwO9/MOTUTr85iQp/hUdi6L4Q5mT4ywt/CnXNVjYuep3XzbMc6vRXBjRQlcGOLGskJUv/Mb/vTsGD9eXETwLvGkkGLd4kkeL2ugxazhqFgAQSCZEjgnWoF0Np0rLVWci8f4iVPDpsQ2xGemkF/0d6QH0xjVWKh193KmMReRRcI9fTNcwTwq2TGa7rgbd8+viKXCjBWcp2KqjM2NjVh7Z9kyCYcvzuIBSYjUvJYvrXgER/c0YedxLho+hKxtIxcWpjH1jZDSKdHFzNTMvIQQkzFZVM+umjY2956kZ2yKXYtBfiS3Enl/H1HXArj3c8N1t5HRegkKfRH2xAS9Hh17hg5xdePnWH9RDgec7VxhvQL9uQHC8SFO5+2lcu1qbmi4i+sEAc77GB/0kHHxevTqQdbZP4/e7OIz6lz6zkfw1Hvxd/VSknYG80O/IvmjcqSoeXl+B57O3WQEmhioWofaPUSOIg9T0kJbqICsqBn3iJNaZzMzgTMkUzpkym3IbO0E65Pk7vIwPNtBjrGQcKgI28wkoqkZNCta6JM50YyHiETXYSm2MSYsoZHGCIt1DOVlMk6QtJQYWd8AJeWlXJifJZZIJ7wwhF6mhckhAsvLRJ0+zM2bkC8tsn7/AW7e8TztmzYSUikZdZ/CHIDcSjuphRh7FEt8ryafLT0mVo/2Ifd6yay0807tCR4RtnBbQkfWYhRl/acR1OfxVj9NZVcpq11VNLvFvGayY5ScJnDOR9yxzHwqSWf5DRxTxJD2BDkvHEG5Qoqx+C0mjxgZGqkmMJ2kqvcg2669CUftSvZ5/NzWPcYXojEu6j+DT1rIdqBsYoQr2hpIiiRM9HrILTchloiY6PWw61fdAGy7u5q86r+MJqn/jcRiMaRS6Z/6a/w/8b9eaC3+EHWjc1j8oY887va0c/7856iqehSrZeN/ep91Ji2PV+YRS6bYMT6CIAjslDfSKv0M5lQPa+KdHJZU4xUpWJZp0UeTeH9n9zloqkGWV8aNS6/xUOn1JH83YCIkl/M61/COW8vFC+28m7aez0iH0MTexj+Twz3Wa/ju6BA3djyOobYfZ0DFU5ob+WmshF/6fZyzbYSZD3zf+alBHF4n+/VtXMLbFM3kkis9SkT0CyZy07hq+Qg5Z2XcVqglrvKCSUDlS/GqqYl2oZRUUTkAjZFJZmIJ7qr8HvdOPsP2bAcS6ygbxn18IfUDyuOfQSXbxm01H5xPPAo9b1I42otgvJxNBiUtnpPIXv4Um294mt3iFm7rHuNxo5vEwIvsLv8ul7qVeL/yNfTf+TY1gQSrdIu0tV2COBLiy5ZFtL1LjJzv5l5LOZ/TSQCBKZmV0337Se7MIdT8Sf7hYJyh86eov+laou9Ok744SaQijYtGj3Lj5BQvbL6M/ICN+nNhlrXvMFJWxBWtK/G87WRRFEe87GfBVE+uzIS4zEzcv8itO17AlpVBWW45E4/+mC/XZ3DXhk0MiivBkc/R/d34UglSw24uu2UNl25twDhZjGm5DHWphesk+STiSUb6Rzk7fAGHYENTvJqSCT8zCjHvPPcoLTfdQndQzHnvs2TO57D4xotc1nwvV2wrZ3TsaXSieyhtuomQo4COkIJzw7+hvOIA+TWQkcrj5HQGXaVp1F04hklsZWLmWYxNjfjzd2PzFYM/G0Gdi23wBKrFVvYnulkOOjB5k8QTbvzZ/RxXH2dbcg39o1ImjH3ccrCf09c4EEeHkPliLFsyGR0dRALMRWOMNreinB6mYGyS+KpaonIDQijEkiAASUw+P0N5xaxbMJIpd7IytIQ2nsARUDEU96Dt7UDVmMFs7TtwdAP+Xie3xlvZmMwjpk0gTrShXjCy5ZyYDGGZwHyI39jdXOL10+CqxBz6JgtaL6XdEU6qx5GUWBk850VfWE9QrOeGkiyC8+M8kW/HPwvmzGaeCXbz9YkNKLtjuMxgWpWitO0OYj0yIkN+1pWbeLzSQYtawelEEqs1m/6lYfK/fB/LDz/MgqWKnb84z9bPVpFXbSG33MSWOysByC03/RHeTH89fO1rX8t48cUXLWazOWaz2aJ1dXXBnp4e+d13353r8XgkCoUi+etf/3q8rq4uPDMzI7n11lvt09PTMoCHHnpoYvPmzYH777/fNjIyIp+YmJBnZWVF3n777dE/9d/1/8L/eqHVr13DigceRNP2H1ezAFpdK0n9A2h1H338X5CJRGy26IkmkzxWnMZk52PkjJ1H1PhZvhPbwmOaKe6YeRP7wGtc0fgESzIxCAKkUuTEvezN0KO3rCMpiLgoOYVsYZhN7mN8Oe3r3Dn5EpPWOpKpJK1dz7C04kq+klaHkEoxb83kpr7dvLRwNS+kZ7Db3MZWiZfQkUf5Wdk3qRYixEJj9CuKMeiWQBBIm0iiFJTYp/zYKuQ8JlxJoXaQWG2CVt3TPOP/G1Kk6BM387bQygcNXElAxA1akFjS2WZzszltLZLANOXJbxI7kOS6mWXcqUvItf3unxKPwqEfwKEfciLvC6SMsHsxyPbcKr50/dOQt4G4x88vDG7WFa8CyWd5PLzAaq0G781fZKBmFZ2TbsadO4ifGSK518WV2QpuFN/LgfkYlreeY3VFCVFHGXUXX4ap1Ip/9Wbu6ZvmQeka2tYUEbcmWa5PsPdsFx5jA+t7HVyWSlLym8eIFGRzUn6U7FUDSEdk/5e9946TpLrO/r9VnXP3TM/0TPfknHdmNsxs3mUjS0YgkAkCBEJIRhJIll/bryVwkC0bWVmWACGBBEjksCy7wOadDbNxdnYn5zzdPZ1zqt8fs4vAsn+vPx9Lxpb0/NVddbuquurWfe4595znMHiwk7l0CochB7daRiI7SOriDK9X15PQKGmz5vKctRBVSMG1Dz5Msc7NPqWCboUX46F+5kODKGPZJMwLROW1CFI2+fF81DVZpMkw3D9IeXk5W25qo+8H3YRDbs4fPE7oxWcQP38r+1udVKoNqPbI+NS6v+EWQaTnvdc4O/gGuuYWsroUlN5bR1om5yQSK9Y1Ick/hUuyMdMzTfhcL8pAL5qcMLnqJcgMdpY3fAqDP4vMKTndA+NEZAJjFj81dhXp2BIKz25BqWhB5XmVmEXB2PQwyyxFqI68SarIykiFi9fuKOC09DTr+3JQIpJtVJOWq4gCqUgQ5cIcYiiIp2o5EbWByWwba7UqJiNxkCQmjEYyRi07g3vxaJQczc9ly4aP05+dQMKCs3EVzMdp7GpnTD6JkL2GJlcuPoWJJU3ZKFNBkCQs841UKMfpX9rIO7kVFBw8SLXNQUOhjYSuiLxhGb5gMTv8VlyJITJ2E4/5nub2U9t5xGSnNHsAj9QDEZEmbYL9MljRmiIzLuExzxIq2ca5zj6a40kqLr3P6VSGYkcZRXVZ1GWshL71LfRrVqMV5Wy/v/F9UpXJRcpbcv/9weGP+A9x+PBh7auvvprV3d3dk0wmaW5urmtpaYnce++9xY8//vh4Y2NjfN++fboHHnig6Pjx4wP3339/4cMPPzy/bdu20ODgoHLbtm2VIyMjFwEGBwfVJ06c6NPr9dL/67z/0/B7T7SCUonhio3/4f4jQ34+85KGH6n9bK5T/6dcyfHECJW6V2hecwfR5Dk+M+EhNDHGDdfexr8UbMYXWlwLLg3OMKqz0eh8j7+uW4/kaOPlngnekxUi5DiYVVqREBjVFPCOpprlshgbqpfzXfM6pEiQOv8g/1p4K2MaBztzFv9DZXiMXbpipq03kEHgPBpETS0b9RH2BtsA2GPcjnX6ZcwN13PUksVV8XdIKuXoY5OcjLfznq0NAYGsySl25BykVuXBG1HxlO1KDngE6hZ20TBzgNPGRxne2U/rNf+XkrvMTEpe6tfe9Osb0fsWHHqMkKGYV/K3AqBNhfn2pMCgtYZrPBE+1zvJUxf/BaXmc1B/DVv738b13WcYNt6J/dkXeKS3i1DxaZ6uU/JXt3+WwEI2lh5IGsrJLTvNL2an2FnayhdmTmKpaqZl3MNnU+/SUNKCy2Ok4zv/Qvz6O3l1y8d5XRAJu2YJ+KeoK25hsn83eWElUqAWxdAcc5YjCMVl+PJsROVKPJpsLq7N53BjBYIg0OVfYN6Uzbdn5tFktJwJRzl1fD/6hIV4zExSKRDXO1lQzDMtm2L+wBwdHR3ceOONzM/Pc+TIEdasWYPdbicaWcBaWMbyqiLeO5XHjpJlfLm9icYhCe9dlSR1QaylJVinp+C9NznfdY6JfCM3lClIHT7EkSMdpJJJHA47oZ5GYj4lb9tDNPu7kAeVnMqcIrwQRvzsaoz7ILZQg1bdT12ZloPcT/kAACAASURBVOTIJId0Ml5v1nBXoIAdSQ3WrELCHfuYaCwhr/M8PSuquWiTKG9ahdadz8hYjOtqvSgujOEeHgMBDBXNkHQS1OQji4Xx6vxMZpXzTt1ybOf2Y5nqIaXWkrLmofa48VuszGpM7FqyGlniIEvGPcSUMrxmDapEmnOZUWwr9iD2bqAvVcqOARfKESUCICGQFGE0q5xV3UH+KVtGZcCGKaFg+IldVG3dxESzjtriUp5ceImc3jqqvEMo5DUotVGUksi9bjs/V40TFyOkhQh5I5XMNwgYaqa4bfP1PNP7DHtLT2Cy3EMF+QBM9Hjet1wL6k2crhRYLRNQyMQ/SPdwKpkRRs46jWUtuQG5QvwvE9r+/fv1O3bs8BkMhgzA1q1bfbFYTDx79qz+5ptvLr/cLpFICAAdHR3GwcFBzeXtoVBI5vf7RYDt27f7/jeSLPwBEO3/C+uqcvj+ba3Es1UkMhn8l13Jlk+R0/BFkH+YbN91B/jiuJG7rE9SaQ3yjd7DvFH0CSiAi64IEXkQQwSCWgOjOhut3hPssl+Pyt3BNypbeaAgh3+dcmGSyThrrgcEnNY6QOBMWs3R3hN83juON1iEfEriNuPbGBV+duZsoFwIMagrplmMcS5n0XVrRODLOhcvJo3vW9AHzU0cMi9hWXCKkxSCUkIQtuPUXuSiXw6ISFKGOWs+b+dsYMbdxy8GvkxIls2vctpZKP44Pd25PJx7hh8qniJteAZF21Vkf/BGpBLQ9SwJQcbDBZ8kItcBcOPcOzxbcAM73X4SmQyP1xayIfd+SMSg500o38jMjjneO3mRLcUlNFS1UFd7LbJAmkxigTsnRliV/wbXGB0oiw6TEr/KG5LAs0kXbl+KT86+wqb8nzOWrqJh5EtI2behOJ9mW/4pWmx5tMtdzAlFdCkmKam6gvT0KL2OLSwYOtFNDKMPJwjpFATUWby6fC2SIOHw+Zk2maidGUUejbN55BR9wzCZZaMwmYWARFrtQyEAaRn2tJ3OFzvJZBZLJO7duxefb9GFf+TIEdra2qiqqsJkMpExmmj8xN2kjBYah2aYefjLjH/h85yanmbVqlU42leyva6GWbebJXUG2h1r6Ty5D+XCLETDvPjSyyBlGMvO553VV5NRayibHkEK+ekKnsH85iyS40Y6ghcpKvagbn4LwVlIyYSRT7z5S5b4guwtCbAyE6K/eQlpZYZDq9oJ5uazJlSPv3+OVOce7rt6K8sbbuB1XkbrMpFTrWVsYQb1bBitOEQciUTAS2X3UTRTw9hdU8QEGUp3ApE5RNccmrCPVl8cRSJFKuRBncwiJk2R50yzoEkxFzaz0LOOi9FKdi0rwSTNUeM8Qz2tALyoGeF7S5r5xrkoy2YjaFUOkMCrvIqFE37yM1oGh7vZb3uRh2XbaElvQuvzUKW3MpycwxO3MpI9TZOyFcmVQpBLiKMJPnONlX0zx7nQeYIpSw9pIYWUyhAb8FJQZuTKq0ooqDJzZOYID+97mL+s+Euub7seSZDomOlgtX01CpmCdCrzoXXb30eMnHUa3/tZb/lmGK5akef/XZwjk8lgMBhSfX19v6FrLEkSZ86c6dVqtb9BqDqdLvO7uJ7/DvzeRx0DJNPJ9zVN/235K5ko0JcKcX/fBIWpHpbmt2MMpsl+858Q7M1grfxQ+6FwjDdcPs5EFMwFBHZmlvCZ4HEafC5+YiqhW9KRUC5W8EEQyCPNysA7vK7fTunMC7iNSzgVjBCTgEtz+XlUXKmM8qXyQrb4TiDr20lUVkvluydZnz7BTG4+NmmOSu0RTgltzEny948fR6IzKjGV0YAgoZNCJAUlSAJZ8/Oo4hGa0xeYVBdyUZWDIIewUoc9vkBW0suotpA5bQ5n1VXESuoYS6qYVGkocwdZM/UyOevuRtZ6J4iyRXLt20Vitoe9Z9+l8MIzvGrdwHeK76Qu0Ic9FSRfTOI3leHLwEg0wcfysymNTJJ56W4GL57DjI8XNPmMDb3Omp/uIXHFCobztnGwYzdL856kVlHB8vXXkc5az3sdXmbsNfRjZIlmghvSBswzR0hlomTnTHLBnyE3OoGjoJ6aWQVNBzsxjHnJNy0jGpxBsbSaM8ZCftRYQPHoNE2SjU3KVQgL06x89wWMRhN6jcgFSy41TifmiI8VUwNky2UMVrewp7iWnJAfczSE8G+CTCXp1+NALBb70L7p6WkWFhaYnp6mr6+fidl5enp6CRRp2Kn14AmpAJicnKSnpxddlpXOs12sqltNdF7G0ZddtG+sw1pZTE9vLwgCJvccua5p8iWJjNGMGIsiqarI71Mw7JVhzPiZkStJjCWQLkapn/JiSnmpvdiPUWFhShFhrryclDELVVqFyraSzTEz6gILhpV2rim9ite73+YdZy6V1VrcrimqCx34psZJqbWk84oRDbmo/AtY5yZIaHREC8rRKAUiWdkYfB6IhUnJ0viUWl7bdgslyIiLIVRClJDeiDzgx+jMIW80BnozNf3HoKqY+Vk944kEetMM6w1WKofmyRIMl94OOJVxc0ZzgRgpWqMFqL2l2D9WgmJgkFN2E6JXJN8+SjKUTVZQQ7a7BCnkQIzFOGG8yPGpp9D2VHDH3DamBS+VVbUUOLNZ+EUv3rkZ5Gf9yAsMlJVVkhvJpWdvD3a7nZ5YDw/tf4iqrComghNkxjW88/hFcoqNWGz/s3Jqf1tRx6ZcbcKSp42UteQGRNl/PbJaJpNJjz32WN7dd9/tDofD4le+8pXC5cuXh+fm5pRKpTLd0tISy2QyHD9+XFNYWJjq6OjQDg0NKa+44oowwNGjRzWFhYWp/w21av+go46B9zVNv7XxW2wo3PDhnakEwb6nkNjG+NRTeLOERUtW0wjlvxkctdlq5In6ErrGuvleUAuCRHphnClxcfatFCBxSbRCT4a7Jn7JleVVrMvsYbjgVn487V48kLQo+g9Q7Jrl7RwHZQNHUMy7oelzfF5/JY95R/g/lV9ml20tSBK3x94GDfy6ioAE6ShhmY5cIYpT0hAWDNikaXK8QS4U1YCUYVIoYEX0FJ2aZczrcjCko8yorcyorWyZP0QoKXKsYBVEBbYYolwl+VlYbqVA/1Ui5Vt49sIgVpsN2eRJtr59F3uzVnJf/aPcVXI/v8zfAQj0mGoBgS59GSQXSej+Aisbsgwcmm3ijdSDZMklPn7kNe654a/56dZP46kZ5RddT1CXm8cNG+8hNCpjcihNWoyiTxxHHzbT3D/HEfOrRKYGsK0epbj2CPNiI1LKSVDj57i1BXXXKK0a0FRsRxQE5qr1TMarqS2tZan3NVwX56gMLjBoUVOUCLDEtI4XtijRlOVRvf8NxjfcQJ/NTr8tl+2nDzCp0vBOtoOWyQEKPfOAhFyQk5LSv9m5JIn3WVj6wKMBLBYLPp8Pu93O9PQ0LMgwyWtx2B2L3y/h3LlzmEwmBgYGKHAUYF0dwlBVTnl5GTWlxfSNjCFo9RQlE6jmZxESYQRBJOpQMGTIkEmcxWvJQ+meJeSW0V9egbMsiKnMzAWHA/nEBJNLlyPTZ0iFRM6XFvJufR6qnR0InXVsv3oDkZfGyZ0b4dq8EGJ/mqYLs2Su3kG8sJLL5aFk7lkyCCSNFmTBAKXzM7h8TtQBAwkFxDUmNBkZSfniJHBc5qZMAINKQ3hqmDJVKQ1lVt7ML+BIlQNHvIAvTBRyoSxJj+c0yWScptMDpAQjg+IU3TlZVE0oCGRpKfLV06a0MhBLI8SLsF/MoHjtSTrXbiBWPorY3E8en0PlKcKRFjkdVjGXqscSnyWQvIkuaQnjxsNkBfPxTHk4UdJNQZuCt375beT2W6hOVbBZpuD6tutptDZSXl5OmVDGtzZ+i1QmxUP7H+Kb6/7lQ+u2v4+QK0Tpt2nJrlmzJnLDDTd4Ghoa6rOzs5NNTU1hgOeff37kvvvuK/7GN76Rn0qlhBtuuMGzcuXK6OOPPz557733FlVVVdWl02mhra0tuGrVqonf1vV8VBA+ODP/qLFs2TLp1KlTv/XjJtNJOmY6WG6uYrDrs6DLoa7+n0Bu4kD3AdrfvJ23mz/BmuZ15NuvXFybTSVgeO8i2cqVJDIZDniCbMgyoBRFEok4j53r5HshPZKUQUBAymRAJnt/4DUJEMpk+GFVPn0J+N7EPGt1cRYkA+dDCUCiRBSxJ6MclalYHKnhm8VGRs++yflkFodsTQCs93dgMM6zXFnMU6kmxrnk0pYk1p09zmp1B/9Q+xAgsiozyFHxkiWeToFMRp10hh5hKfWBSXoMDiRh0fVV7Zvgjtlf8nT5rTww/Czba1t4yK/hPdMa7lKOEPZK/FJXdVlYkmuc+1m9cJI/r/kzuHQMeSbBn2sDvJ02klwYpttUyw6rkZts2Wwwaxnu62X44glOWmqZP3KAm2++DVXWBA29MeYf+hJ/t/wOWm/dwU0147z65jg9vV4cuWnSop97Y9cxZjjDqfP7mMyb59q7b8UatuGKPEpgaDUX4hlM4w3cIF/BVHiAyWolfz1tQGkY4v6Um7r3DnOyqgKLVg8pPfJ0El9OLY9dsQIkiSsnZthV7ABg09ACK4/uZr7EwISpGEmZoNzrRkonQQKDxoJMnsAXDC0+4zQgfoBoL8Fut1NQUEBnZydr1qyhra2N3bt3s2XLFt599116e3tpb2/H6XQyNDT0H/bbmrJixg7tJ+YoRRHyETNYmJErqO/rJlduQ+tYQlwZpz8zh8I9S+H4PPGmUmZ9Liw1CmrrDuM7uJSJgTjm7Wt503uWNeNXYZ5/lxOlItsSKfYY8qluyWVHYgvThwaRzxynrGIHM7oLHO17D3VzI7PTs8jMDhTuWZLWfEBCPTmEeX4OhajDnb+EaP5lT5GEEPQzWlJN2cB55JKKhNWMZmqEmvI0uhWdjLxXxoT6LqzCHI3eZtzyBfp0PRSlsxmXLU5E3bkFvFLTyheGZ8n1q4gMC2CaYLxknPbZItIrdaz1ZnO+ohTTyWEM0T4WPHnsV/RSlHQQ9hRj0cd5Lec1qlN38pN2A1d2n6bAN4mqRcXzvuf5etvX0XSoqR5SY76tFm2NibGuM5QsaSUjwMGpgwCsyl9F53wn7bZ2xkfHKS8vR/5bqtf624IgCKclSVr2wW1dXV1jS5YscX9U1/SHhq6uLuuSJUtK/r19fxCuY5koo8hgp6vzJnyJPqKxMcKhES469dzjzWJpQSXXnfgmxqqbSWZX8a7Lg3boR+he/dL77uPdLj/3XhijXq+hSqdGJpPTll9IwjnAyZSaxWKwlwabS7Xr4pe0jjNhF8964mwyxNgXUuBMZt53/fqASVG89CMBBJHBuTHe0dczrsujVpThFkAjpDkqX0ljMoCgLWU4lVo8pyCwNjfFRE6cAaEOa6qPfrESURBQZ1KkZIvpMS5hMVQ4IUjcJE6Ra8wn6nMyZshnX85KPHIzI9ZmTluWsRsHJWKEfSkbF5RWkDJsdndgUus4aKhnRF+CV2ECJMwJPxG5DosMjqQ0PGqTUZlTRLvZyGd7x8kO+eh87WVOSBpezi/nqtZ2HOZRvnTwYZoat9KjbuRlfRBZ6HWK5U/gcSup75tmQG6jYOtSmpJKpnc/y3iejOa5YtCncM/2YPPVQNl+CnMmSTiXI6hVOChk0D9A00IHbXn9RFfEsNmXMOWcxp9TTjzmxmvLoVLKIR0dZ/nQKA86CzH4x7lhXsvtMzK6TQkSYpi4WsPuhuVkB7yYIyEQIJGMEUsmAYEsSw7RROQ3SBYgGAyi1+vxeDwUFRUhSRKHDh1CJpNx+vRpVq9ezcaNG2loaCCVSjE5Ofnv9lu310/b2rUUpBPkze7lWFEbu1s3olfKkQemmNGnkQJpoqo0tikXyqJuCrb2kZoEIRUnu9iDPrAJyaOm0mKmwJ2gQZfLiOsMVm+Ecm8JOkUZTp+baNDPskwRWs8osTol6lUVAMyf7EQVCmP0esmEA2SUSiSVFnnQR1pKEVaJ+Gx2TH4XSa0Wtc9DymTBMj+FIBPJztgJa9MUSVlULgwQq/NhHGnGIEoYJ+dpNtaRL2pICxnccT9RRRJ9VI6Q9FHpk7hzKhu/K02BQoYibuYqcyME43TO9WCaM5PlTJA7r0IVySMhpSmSrGRH8/BqnKyTZaOLmbkyYUTj96IL9mNJq3lR9gqOQDV+QeK1Y2Gs7WoaV9Yx0X2WN775dWxlFVzIjPDwgYfZM7aHptwmNhRuYLB/kF+98AJu0Y1iwYRnqgez7TeFcKREgtDBQygdjv9fqcffJv63CFb8PuMPWhnqMtwLB5ic/TmxhAJkIgORera/9ze0Flayqu1W3rGu5LRCxtTUCJ+eTKKNvUT1kpvQ1fwJiLL312avyzVTqVMDi1rIK3PzaQgNYjHn0xWOL57s0ti7I0vPFtHLczEdFfTx90USxTEPt5TWsc1qASTKNCpGokmK8OBHDWTwyQ0giGxIR2gtyuN0MIJbZsSRmMIgqOkZmcJrziI35iIq13BetPDJ9CBSdJ57B7+HoC5ik1HJlb1PcsDazmLqzuJFxWVqzgvZjCTThBTqxe2CgI0UE2gYjKcwkWIO9a9JRIARXRFOUYskSTT6exnXOrhn8iV+MNtNKlTHV7r+iZUtTWxp2sBKk4Gdw05OxGN8otTBmpJCVmgCbKxr4ROF2VhOj4J1KTOhBN8ZmURV/EvuHhhDXykRH9YxYlOi01jYmMzCFemmIzeXjN5BpiZIfsUe1FnjDIYUiD0bCIQK8I2vQi4kSAsxutQzZMXkDEdzeKL607RNl+CP+5GUMqwz49hzgyyNr6YmpKB4dgqHqpiywy+Ad5qLujj/sHUVOSE/dp+TXLefwsA8ogBEgqBUYc+3Y9Jn41yYRa/Xk0gkPtzRLjmIcsx2rGYbZ7pOUlFRQUtLCxqNhr6+Ptrb27HZbIiiSHFx8a/J9pLrWYyZUGllpNJJVq7fQHGTiMf2MpWGOhIDHlZ4fWRmVOjFONtUq0nO9TOfmMalWgN+NaEREY0uxMK0nZ5kDirLKLNDfuxZIqXRdpRFWnqzw2w23Eyx3IIVHWm5i8nYFLL1RoxL6nnr+4+xMDWBxZaNYcpJmUpJOgXeghLyk2m0WjepZD7DeQ5+tf1jGNNJSucWYHYMbTxBLCcPSaUhIkogl8gQpnz/OWR5N7Dgvool128kPe0hS7IyGPaSU2Jk/MJriMZiZqLvodMUsjlgwyKpCcpnqFKYcShluIiRq7UwrpjE4S3DFlcwFerDqLQSyFdSENDhz06jZ4aYJOOUqp9UXMeVMTOJcITg+EHyom3U+zayLrcQ/ZkX2anag2syxro127CXVyJJEjXFLRT567i6eRvrCtciE2X4pzOMHQ9zdP4Mno4pBvb9nLzyCrLsBR/qAqGDh5j6/OdR1zf8t9W1/SPRfvT4SIlWEITtjz766FuPPvroFx999FHtI488cuQ/avu7JFqNuoB0RiIQOs3L3MyPxI9Tki2w49Q/8UJ8jodSa9gTVLNu4F+4Ml/LVp2Z7vy7KNIbkAkCxQqBOv8FAgsnqLRWIpcvBrTIZHLs1kK6AhFaEnOcSi9ub/D38URuhLC1jl0LITyCFacvgWbvadaWFXNsYZJf+uGhEhsyQeR0RARBYpl0glnBwdXBLn64aStxSeRNtx8EgaDMRJ/MSLHg5Dr5Aj8a/mdanMe5xrUfKe7kCettePSNHDQ0cCatQafWMaC0cZlkS8IT+JQm9OEgCYUCZSZEWrhUyg8Z5kyUsKAgzqWIyvdrJAi0uc6wJjjERUMRE9oCQGCt/yxXzv6CttptTBZVsHzZVgQRvn/8NZ7Ye4TP1DdzR0U+ebY8sotrmPScZHbnOfjaX/KST8A99wy1dRuYmfFSNgxCtAG/SU9r8zGsinxM7z5HZPspspxzpJz5WHtCZPmmmVHYkUXqCThPYm/rIuYpZYFCutQSdVE5Cz4PU9qTWEMKQmaRIkHCNjWEqSCDdU0n3rk05YnluOPzDAROEgh66C/ehODpxuAfwxFbjLdIiQqUmTiT2TaqzAY8ZTWERofQ6dTEYwlisd8UQREFOTJBxOmdw+2eBxGmpqbYuHEjHo8HgLa2tveVbURRJBKJ0NvbiyO/mLraGsRUhIWQF4NWS2FRISdPjjIxIWAxtlM67WNu5AymZACXw0ogMcJk8gy9Ne28uPlGlAElDfp5Cjb0oZhqIKn3ULH8NKKqCF3zQUbnFUQ3Xo1MHqTKWcAeRQcXyt+ivH43efvOU77yFuxr15NTUETIO41zYgZDPMWwWkFUlCjPtRFPdFC2pZ8FWQH6gBFTPESly0lEoyBH0pGKWTCVDBNzS+TbiwgmIkhzk8wUlFNxep7C4hX83DpM07I6Fi52YXItEBf1pGJ+NLVyMi4NaY2BCdkCC9Fp+vVehIQOXySJcWoAvSIXaXaKCn0xvaFuTsWOEUxmk1Ib8AUylKXk4BPJUWbhi+rwho1MMYJ7bg+Cqh67fglucx+FVSUsWbuOmEdH8lgX7owO0TfL/p89jkJhZ+htOSualpCdv1jtx2TVcip2gq7kIXIEC+1bttO8dj2iKCOZTrJ/cj8j/hHKa1aia2xCv2b1Hy3aPyB8ZEQrCIIM2A1sA/4B+O6jjz566JFHHnH9e+1/K0R7KTIW1wBYSt935wrpNBa3jw5VEz+MXgEIFCv28QP77SiVY1zt2s+1miDrjXGiyWcZHIzxueRSatUiYyOdlPj6uHD2xzysvYUy7wHqHS3Aoij5F3oneWbOw8rhl2k3qTkpWHGpraworqPn5AGOq7IoinuZnfwa220rSBpVfDVoJCMIRLxe3gkl2JFt4EHFJMWaIB+fP0Wjo4rKbBt5537MbmUl3g/E4cypc2hw7eWimMf1zr0MlLZisHVhDJnYo2tlh/sQ94V38kDv48ilDB+XJpEH57g12osi5uaiqRIEkbSg4rJFm0AiLCjISriJyhYjKjXpBHYxzTb3W7SrdTzY94+04mdrwxoqfD08mJ9DYjRIZ/11PP2Oi+GUkpjiPP987q9QGLv5ZNUKUvNxZmdm2L33Jf5u6Bu8Pulg3fYbSUYVXLm3B43dytbuGHp5Be3KWwkMDTE3F6NSvwZaGpgcETEvGUAxp2fBGsK4cZ6EMkGOrYfAzAZU8xKhtJzhHA1PL63GMi6Rna5ByF0FgpVX60vQ+GdpZICl6XsYmXDh9KmIhYPUmduZCPcSkPlwFcoIW9S0WQsR5kchZeKZ9ZtAgI6KJgLRKHvyylDFJtHPe8mk05c1Pj4EScqQIbM4QREBaVEyrre3l3PnzuF2u3G5XNTW1iKKIvF4nH379uHxeMi1Wem+0I3f5wK5gkQiQf/AAB6Pj2jUiHtyCn/QSsyqxKzX4ug+h3Vyiom6lRhTUDsv0jDag9KXz4L2Rla4VjMXUeKc8nJhNod4qoDZiTgjmUHmewdoOHWWi8VGTuTNormoQ++sZ8icwV7fwk8PvEvJuyeIVmXhi2cQlK1UrWilVZLwH+lhQnKQHtAjuSfJRUFMJWAJKPCJAvqyOJUt+1C6rYzF1Nizs4hJEiGzmdlsJUdVQX5S2YL33CmqRRMZjYV9ygvEU/lUFjeiiiYR0RAREhjnFsiVmSGdRouDgiw7M4kUmfke5tX9dEX6iRSWkRGirEsV4Yl7mYucR7JYCAoRtIksZuQeXOZR0uo8CjPlrNUVEDAr6B49j9VRyHDvCCmjBVlCwcT+V1lx/c0sv3YHtlIzeTVm3nEHGBn3UWLV0VJZS2A2jWqwgOXr12C1GwE4PH34fVdzg62J6uaNHyJZKZX5nZbb+yPRfvT4KKOOVwBDkiSNAAiC8EvgOuA38qd+K7ikVJQ48h0OWFawQZSjrLlycd/wXsQX7ubWG59AFX4e/UQfPyvdzjH1ao6xkh+nn+a63Coyr30TpVlOSHaWHdJrHBlp5ufxIn5qSnBNQQspzVk0hdeQSMRRju7jgHkFu9w+rrUa+YJkQdnxIEuueR7B3soGq5GVm65k9OAhduocfNrxEK5nniO1I8YPc/QcVjXzXELBRlWa3QsBbM79/DTn49xoMPBaIJen3nyUk3EFw0USjsgM09p8QKBtpBNXqZqnhVsYzlnObnUlfzUR4/9O/DNXZO2nUThHX62GmE/Nw9FOfhDPYnflV9ktyPix5xWKp37JDwv/BABFOkZSpn7f3e1RZnHZhxmVKZmQYDLnWgQEylb+Bct7HsEwno++7zTOGYH4GwNorN+jQGkneXQOi8zCY84FMisfRN4T4sUzLy6mwkgS1Ykr2VG3ifNFE+zrmURWYqNqJEJL/l1c9J9gRualsH4d+7u0FN+Uixh+lPmJazB1V7I0fTdvmk8TDMyRZXLhW8jGPj/A+ZsMNEpvYxd2o+2+CeN8ERMVFp5fXsHHjh/jY2fHaTLtom+9kTMDM5gu2ghnm/BM9xKLxpmPjhPOzQEBlNFspMF+oq4RrEsy/EUsxszEAKttOYQnB8kN+anyK0hcjh/8t8bK5ajjdApkl16tS/f1cp4twMDAAHv37kWSJCYmJpiZmVnsosPDiw1UlytAXR6QFxNdkgolScUMkgRTahX2xjZGFsbQucxUBl0scdgIGWp5zajgx2X1fMo3jjdcw9ZBP+cKX8c3v5ZMth7DuIgj9AneveJXKGfaKTs7TkBbwvFqAeZjvPriz9hXspqtO0QE/x5WZddgq8hnqHM36tomdKIGp7CcQt85vPIU0uQISquJsGgmkaXBGVNh7L+aFZHtLET2MckCMzoT9mSSmMeFKTLM9fE5rs2totpn47x6FgmwmHSUDxg4KJexwp3AnlWCPmpgZyhCuuokX3HVM5NIY1OKTFcsJVbiwXA+ShTISWRALlGlt/JOeIwp5QUEYBNNmOMQBFJ6CXeqj87582j8S1lqL8blHGb70ivoWYgSPiHRet0DROoaQa6guMrM6wdGyWhE/wAAIABJREFU+VNFGMXZBZ4UBDbX2fjcdXcxUen5UPTxavtqHlv/2PufLyOdSjLWdYY8VSne5wbIvr0WTd2HMtL/iD8A/K6J1gF8MNJjCmj7YANBED4NfBqgqKjov3a24b1w+FscWP333CNr4ylLERsuRwuXXoHypp+injzJJ878hAQinZZldOQtDmNHNFo2zpzneMODbOj+Aacb72KncD2ZpMgOdYSoICNy4mn2X/EcO/vm+FlWD1tfv4MNH/85TzWsWoxGznwZHC1cVb6GhCjngCfIKrOOa5av5lpgtbGGr4cifNtUx5M9f81X1+bSOB1nx4qreKrnNOXuIX6aIyD19PMT4Rk2eDpxF94GUgaLO8B0sR0BqC+pISSKIGXQOsf4v+H3iElKei3b2LbwJs6KKpAWUCQDHIuEecZm5+qZF1B6NCwVnqBBlDMiGTiW3IJfubjeLE+nSYkyLptoyliEhFpLqVrBWDzFnxbl0uT10l2nZ15r50t112NJTPLs/U8SrTnEcuP1rBz+Noezf0xB4z8yf3aBs8eepmrlcmpcr9JrvYGNZTdT2rHA1/0v8bGrKhEPVaLb1UFIO0NQH+WELcrmvGqsldvInHcSMt/BFkHDXNPrnO/+Ft6IHaM/l3hCSXBqKW+UFPCusJErp3u4eWaOu/2tHDWO4ouf546hARSpKPnxM3iaDXxX/DJUC2xLxWgbGMeUziJH14CjwIL36POcuMKK3l+JemICfYOFc6ERmsbGsXqqac5oOZTJUOKeIwGXee/D+GBqzyWSdTgcOLIq8CfmqKqsYqBnFKdnGq/Py7Fjx/5TXVohV6AUZIQTUZAk5BmB1CVLOZrMJW5LI06eRiNGWciJM+GtJpmY4N7zGsbUbt5tXU6ZcRmtfj1qYyuzzveIqUGte5nSthOccaoZnYixcjSKqbaEM4Y+xKHXKPF6GXc7uE+3nqGcAEaliKV9M+ePvsNEQ5iWUjPGRA2e4Ys4ohH6rTVoPWUohXliERVDLgXeZB8x5xBdFddxqq6RHSeOUR06g0gGY3AI2Z9cgf/1AEtihUQ0Mtpi+bxcBj+tvIL++UluOKpmSpegVFbPoGTioOt1/NSgzI0wo/Si6xynyFiO3BkgRJiMJDEljhJwHqZE3U65ohyP4CdXZoFgNRn5AhvVdYylvVTpchDCIJ3LgCAhbFPydd8TpO038/3nu/jR7XKWT0ZpPjDHdzfa0G3LY11VzqXH+5uqUQqZgs3Fm3/j+Y11neGNb36dqz//FeQrZSjK9P+p5/5H/H7hI5c3kSTpcUmSlkmStCwnJ+e/drDyTXDjk2xIz/KkboqGqSfYOzPFPd3DvHj6Z7zgnyR24gcgZTiQtYKf2q7iTyd+wW2+F3nWfBP/7Itxj+kaDlTcxpoLT7LdeQgBibcTWh4IWPnkuud5I6ahRa/mhKaCwE0/ZcEEmbkAbzv9vOWJkKjcBnIlBy5VB/nOuJNPXxzjlXkvB31RfmFp4vZIH2/ML2fUGeaTpx/k7Ogpvhc1o5US/CTZwTe932dzthmllOaaqV9x/cyvIPIcX3R9h89NPMfPZAZeklqpSgzwYtF2EuoUjbUHyDP181LxOlTjU7in6kkKctriUe6QFbMr/2ZUdvhq7b183Xo/u4Wr2ORxcpkxrIpLc65EGhBIaLTkKmSMxlOUqhTc48jGqKhhYHINSnkRgiBw+yoFmlXfZazzNjpH1Ly8+jvcH8rj24Nhjrm91LetY9uqEl5oWor6xjtJ1rv5u4InWdmSQ0XmeZrKBM6V5rKrII1CWcranhnOI/Kk3kL3xG7UZ3vQLdSgn1+KtnGQJSWdOIouIksZKW1+kzL1TpaNzvBOQT0e5Uqmo14cKgNWywyby39GtWyMwKwFZa+Rq073cVPPr2genWCLbhsRvYqz+W+TUOWSWHEtbxTvocu+n/H8CgIesMpXMOPsR2n3ER4exaG3/7qfpfhQvuxl2HMLWbVqFddffz1r1qxh3dKrGN8H7fVbyFIW4zuRzZLqdgDa29uxWCz/5mX48Oe0IDDnKCaQWtQU1saipMQM+sTis0rLnCBJlLi9yBnE1/QaU7knECWJqtFe2vqGuadzAG+gkyFdDn/RrGMikyDLF8U7kSF1dAu+C0YS4jhCoIdRw1kSowe462AFN7pH+YsSNaXHL7Ap2Uj6zEX6AvvwrK5m5cbbcXac4bxKTWFDK0XNpbR1HCfbFicsxNDE87DmO3DpPLgclZyqrWfDbB/2uBNVYSFZLetpuuEm5jvH2dfzU86lzmAoE+nxHcOr9SMJAkdyC+msc5GI7mKiZpZXW1ZzvKGSjNzBQPIsIOHQVbBKuR55lpXpXC374/OcjcfQllVyJr+H4kwOKrQ0i1lsVTjYJjShQo4/FWcwluJsapif6fZypGiCkcws9199GxU2BX9bP0ZKPIeQo8ayvoCr2vLQX3gXUjGS6SQHJg+QTCf/U0NSyZJWrv3SX4Io8Nrz/8j4xXP/qd/9vuLhhx+2f/WrX7V91Nfx343ftUU7DRR+4HvBpW2/G8iV4LqI8ti3WZqlpLvOQKn3JF8QZIyF5Xxf/BJdVZ/ia4GzbDBk81TPV9kQHiQz4aW1dBSVf5b7YgLHUeHNXs2unLUgwRoxQeLsCU4uWU1leIzTlHA6FOOgMpc/nf00X5//KybzF3NNn6gv4apc86VqPyXEUhnSwE63H4dK5NvFATbm3chTBS7Ka3Kh2MqG0tU8cf4ghQvz1FS4kJNZVKQa2MUxSys7HbfwRe8PaDIdYSFzO99Qn+FwdIw3lDcCAucMzdzU+y5HDHU8VPw1NueeZa+mhc9mvoU7Wshqzdtc4T/Ms1nXACLkLJpfx0w6NKkQUbmBufRiqpBZLsd3KQDKmVpUPBuJJ7jvwhjXipX8TdEXeUQu59vFPkzjX0IVvIf1eRYS48+gxs21yTuxeJxoQgXkmtN8retV3tVoeWbAyeM1dfzJtZ+ionuB+Z/tRtm3B/faOpYKn2FpvhxEAVlOjOunfknj+hMoSHG+L4rO1o1v1IC5NMiEy4H/zI2kHd2UVdWSPn2KNf4M7S4j55J6tL4xlgibcIUUOC9Ok53fzLRbxlr9Uey1e+iV1jM368NcKlFSdwhXTE8yeBWtM3606T6ExmrkZyswBQL4jQbc4Rnc4UVW1SUsRKUgGXUKJKgsrWVsapBkMgGCSPvq5TQtaaK/v5+Ojg6WOybYctdWiuqyyGQSrL3LR0XDCvLLzJSXl7Nu3Tp+8YtfLLqOP2gRS6BVmpgrdvCKo5ItoRBr/G7GXW7UnjlSGbCbKwhOdaHRq0EJp5X1ND3Xi7rERr4zRGxugYS5jbwRI9mmanaFAty2ZydXROoxGrW8Z+7GEGuiTDlBLHwGS9VyNijaOWop4FyNjeH0MCnvORRaN4XeCGKVm03LuunpsTBBLnJHLsrJQUYFGZbyVWjuKMRoTrEys47eN/uwShpcApQ4p9jY8QQ7amrxhucJeQN49GE4OkTCc55sMvR5ThEbrKTJWoI4fI5rEjHMmRQFF3LJXnEjPu8YV52CrJgTnVrEPuUjqU/hV9gZN7qoKCuArCDze4fRx1Zgzm6gOTZIV16cmT4rNl2GLLmwmOsO5MlDFKrldGQZsIyuY8btITDfgyMrzOP6d7gj4Gf/e2uon7kf6+31nNr9OidfeZHgdJBotZy/d/0r39z0a/EbKZUh0udmLjpCSctSZPJfl3CTyRWUL20jnUpy7Zf+kpIlrb+z4e+P+J+L3zXRngQqBUEoZZFgbwX+5Hd6xtVfBGcf2f1v0pjZgMm2gY1n/5Y/y30ESS3wVO4trHd1s3X2LbZml8Oq+8ns/zvaUod4pWYtPxJuRRJEWgMXuWzwH8nIuaW1DYtRxx6hBBsp5lFwIa7kbyNfZzbPziaLnve8IU76Q2yxGklkMpwNRLivIJsdViO73AES8WlM05/hu5EnecqvpTlsZkPpFRzo7aBQkcUr7OAW+9VUXVND6I1n0RdfwarJozyocvPpZIo9k9X8WfFVPHn6q3wlJ4lCo8IdzWJXzga2ug+zJnScT3pe52eWa3lgbD8ecyHPmW/hoqeMC5ZWtroO827OOqpcQwxYspnVfGCt6JI71CdKIAnkyEVc6cUatzamORN08OnaIv5ONs+ttRWo5TA59ikWnnqcUksAz45qXsbNG3IlX6xdwraImulNS3h1qI07pvdRcvjntKa24y8o4g3/Cc6WK2lob2TL9jvJOZ5mPjrOWwvH2TxXw58PbCauMpGa0XCSWbR0k4rWER1vxzuSIGicoNktwxmcQ0BAKcgJZtKk0276fW+jE5czrcjFYAS9J0KDqp7ESBED8QCqGRMOQxZDLhszPevwRoxcoQ+yKbSMXq0aj28c0RZCNTGCOmCgvyRNc6YNr+QlrPSi81ajU4fIKssiHA2RTKUoyMujJD8PdSqbdCpDeXk5KwoL6Rwbw246hmz5zXjcHThD/wd9j8BYwQZKRRGlUsmaNWuIxeKc6ewiEg3h8bnRqgxEEgE+Lssnd3KK8MI8R7JtvLtqB1ceeIECQUlw5AISCQwhiXQcIvZK+qZU+CQFId00BdnXkjR3Ik4cZtBYy7LiUTR9JuoNRWQyEtVeDQlZmETSw2fnb0DlaIVeWButYKfyIm9suZXNPZ3UWwsI5ASpPaqgx1NIQqanuKSGublG1NnHCGhEzk3GKAhHmR46iNU+TCo8wOgpMxSU4yotp3FimNme90jrjYihAGaNhD8qYAxpsJbkMOwOop8aQeWowygpyDripnH4CLl334tPuxyFzk72XBxjQM9GTQ4nNH1IaQm5ohnSAvvGB6kalRG3JHF4pogu6JkyjCO4dbRaDViScgQE+sJOvGqJ5boqZhJpspVZeJFQx7NQhrW0vbKLgk/9KaZKBUWZBMZ1FSjKTGR7V1Fc0k+ts45jF17nzu1Xs8K24v1XJ9znxvNsHyedr8JnBcqX/np1LJVKMTw8THl5+Ye2/yHh3yuTd/ToUc0DDzxQHI1GxeLi4vhzzz03lpOTkz548KD2vvvuKxFFkfXr1wf27dtnGhwcvPhR/4f/Kn6nUcePPPJI5tFHHx0EngUeBH4hSdLL/1H730bUcUKUszdlJG/wLY41/zVn9Ra+TzldilZAYHN6gAcCZyA0x1uaWl7xuZjMLsJfGKPb3U7pyTH6SyrYFOjivO5ScQlJ4qIkYySWAiAsQZOYQKVQMSXTgwAFiQjjkoxTgQg1WjXfn3Dx9MwCSu8IX6utQSaT8VBZGRfFFv5hRs/ni218IsfAgSNPc0+kmPVzu1g9txNRmYP80KvM/GoYUTbCvzZ8gu/r22gZ28mm+VMIlhJuGnuB/ZpVfDf348hlCTzybBbUSqrsJ8mad5JJFPKp/jq2uF8lbQqzrutZjlngCxNPExUqOGmrA1GNLTMNaYmkqEabCpMU5ShiGTJygfxImHQ8RlyuZL0ixVeqq9iWm0WTzcrbLi9Pnh8glmtBVvk2qmVbGRZ6mA+uJG9+jJuHf4K6sYmmuqU0GfS0+2bRlD5BJFXF6++cZNVcLWJjCVuy76ToyBGkg0OIBfmY4tNkGl5E7S9nwa3i/2PvPcMkO8sz/985lXNOXd3VOfd09+SZntHMKMwoB0ACSzKWMGCERVovttf2mv+y5rIJXrRkAV5hI0AIBCigkTTSSJoZaXLs6emezqm6qyvnXHXO/8NIAu/ae+2u4ULGvj/WVeGtq85573qe937uO7pQINOfwqt2ofadJLvcjqqmxZswM6DcSWO9mUmhyEPbenEka+zDRFojs5ybRlErUnR7GdZvpk/2Um+6xETJhDknE5ULbFb2s5TMs2ptwBFZw6k3I8RCpE1lJLURNFo08TXaqi2orHEaAhuIp2No1JAUwsRSETLZFG6bhx1aPcefeZyZs2EczZ0k8mHWb9+OJZlk1i3T7u/AZGhBnWzmyCEXH1UWGDLrkVaW+fGPf8z69evZd8N1pB1pLly+hLImos814X7q5zSc3I+1dyeXSy+zTdNEWyKKby1EJRmlarGRbuvBlImjjcVIq5QIejXWhVVqmiQFhxFUWpwuBZ3Dz5BaLhIpm2lUeilnI3QY++gS21CYfMRLKxQlBU6NE1+hiL+uRJOaQqVWkhATtDt2Us/pWbRdjzE1zULmSTaOL7DS5EeRHEcSzQjSRjqjKTyt65FbtSzmFtAqrCgzSWRtC0W/B0c8QTG0gtppQQ6tInS24xm6isqck7XiAsLKaaqaCLV1mxFrVhYmgyQWRYr1CQY2byGsyFFJmhlxbmO1pkWolOlReempd6FK5Nhk6iGlU6OVjXRXnPhFDdm6jEaE80KWGeM4StlIl2jCmVfQsstPo1rBUM5DRGUnXe6HeoH84TGOqJaozKQ58VSapnOvEN5UR76qia8nH6e2pCWrjmCoznJBiPJw6BF6d2xhy44b3jKwqNarPHXiKV595lVssRiezs5f27jP21V1fOTIEf3nPvc53/nz5yfuvffexKc//Wn/8PBw4TOf+UzDF77wheWvfOUrK2fPntU9++yzlttvvz2zd+/erm984xuLX/ziF1efe+4509zcnPZjH/vYPzml8nbDb9TrWJbl/cD+X/fnvIlXE1l+P+3iozc8zpfSJoS0zF9kz4NJxkWUFxS3criq5nzz/Xw58GZxLTCSOMZR9wjrhUsgiKyKRq708+Q3rAYlrkofI28SOSNuYUlWkqpeGePwyEE2HPx74ld9jEtKC0/NTvBCRc9tmjwPPv8ejIZv8qd9twJwe8tOLOYrVo7KqWcZmPg0f9fwfq4Z/RrLqvU8/fhz3DykQt7ZwskhG18N3Mut8k/pEcf4WuAevmLczrBtPbcv/5SCrsSyS2KGj3Pn6iFe8NxJvEXLfmGYtuJL/NnSCT62domTrj6K1ls5v2U7B6tu2uUpZoUuwqIf3hg1KCgNiJJEVacEWWZWe2XEpzW6wvPuRlrSBZJj4zylMfNaTQZZwQ9CNh4KfJ3WlMjz5zQ8PnwXHzV9kXrDdTz+2gzv8c/TmTHw7AGRa679CyrJAa6uLGLyNrJ5yoiukKbCdjSdAuqwQDc+oq+7MBT7sXRYSeoOo/I8TwkZQRbQqxLYRx5Dt38n+awR9do8lZEOZEGmoEvxlFpNMlNlZ30jiVKBpeAlBF0H+ZZlakOPsvvCexHKg7ysvkQ2coAlbx8/3DRMUXgdT34CvCo6rU0kgrM84znCHak+jDsLuL0HiCegv+NqLk1foMXVS5dN4vKB1wkKkI4M0O94J2Oxn7C0MsCRC2M03nAHujUFU5cvIokCrroLv2kLwtI0v7vNyBajluBalZGREZqampgYv4QvpWHHzq30mDuRzq0yaezBEhpmc6abRGaKlep5MkClWkClVqLIZdAFZ3m9TUWrPkClqkcWoNLbjmliBmXWSNFqpFSpIx8eIlHqZsWWJht5Fmf5SiqR/Ea/2q71MTvzLDWvl6Op12mYuAarsZtdajevJF4grp9jyt3EIyNW9o6r6BQcVAct9J4/RWW9mv36Be4y+eks3wLIxEafxF9MYGh0UshnaN1yEyl7hJpgR520k0SL2uklklMgTE9i9ikoKCUsjVvI16ssySmkxXMEnRXsBhMlMcuFuf00rh8mMuHhmD7JydpBGoNLXDXwIBmlk+DpfkwqmbWoSBUbF5AQkZh3rLAz10hCH6LX0Mq6xBUtyGq5TnxymaGMioymhtxqZDMKiDSBq5EnR/dzJvQqav2txG64Bcs+C11JPX889n6Es03sT/53aJ2mavor7rz1fexuuopiVeBrL40x2BlGpZT565m/5lP+e1D+178i53D+byM73w6oVSvC9Imj5s6tIxmlSv1ricnL5/NiNptV3HzzzTmAD37wg/G77rqrLRaLKfL5vHjdddflAe67777Eiy++aP2XruHtgLeXYeevAFfORlsZsRpYN3YY+bWHuCZ+kn32cfb7/dhzdf5T+8eJaJz88sFYOGPjPdWjGCohPNka48YWfuHYIIEMRyzb+JPyIeZrKRJGB1ZRIC3BmtDI93Z9kpioAVlif0nDx0xZPmlIoZauJLv8slfyPqcFahWihTEu9xrYaFGjvlCnpXKa2/w25HQrpxpvYlvwBb6o/zTGxhm+5byb7zjfw0eXf8D25FkO2Tawo3iJRSGFYTXDUvtd/IOyl7sjP6FTd4lAeZQftVyFo3Gc7snL3Bw9RF2lAquHOaGLlvwyC4Z/rPKWRPENk3wQEBg2arne2szn03W+sRIH0YhcvfLno6u2xLQygBTP842yRFPHNiQgOOphLrCNd93ZQXt7O6M/+Rkp82Vyox6a8kUyTa2YFrMgqYkV5rBJOhQmHwIyIipc6UYElZL6TB7BXUdGJrfYSVdiL4b4AJGgArfmdgQt5NoT3CpEMZ8PYcHOXw4Z+KN5Lx2lNmSTAgo5zE0RVmM2vOf/EMItjEWP4NeZKJY62JuS0Y7OUyvEUcZWERHxxl1oLT3cvSBx0qVk57yfyHwGh2BG3ThDYD5Mp5ChsHsPE+cW2e5uoFNvoDTp5lWvC/qMNDe/i7+MV/ibmo8+E1jLZg4fPczOnRK13+3me7k4qtdGUb6+/8roU73G4RMnWVUoaajX6OqVWBp9mEnbVVxj72QicQyDS6RV72K+EKVdayUXXCXi92FXG+lSW8nXdKikJOPmNTpyPYSbZOxaAZdqlNyShWRNT7lJTaBuJ6uTqUh+gsUIfp0HATgmXMDqdDJjzkBxH1LoHPqAmVPJKuO2EA3OANuzFiYvnaQpEabq9JLWlqmIszTvnOLdR25jfaWHFUuYxoyX9TfejvrCYZaCNiR5hsnlFU7K52jVOjBbdVhTRaoWJcccJ7m2tId0dIGF7kECyQg9De14FzUseuegBk6nnvRylpShSONqEsc2N8FzJWb9cRzG9RgGu3jxkQNYGywEym6iSpFwDbTpBeajKQ5pf4Ki/aMMjg3SXVUStEkUU0mmikbkRYEGex5HWY+RHgQEsnUJk0Kkp7qFcV0bsq+B8KKSM19/jOGClR3ud4BRoF58B984F+ZiXMc3frcflULFQy9O8K3Tz2EIf58v7vlbvnjNFxlxbqHcuhHjzh38c3gztk/bZUP4DUbwTZ84an7uaw+1A7O9O/f8WmLy/i3it86CUSEItOu1qKUanakJulQShUWJzwU+zsPOmxg195F/Izv1l9UnKauLpuI8P/bdyKzGTVppBAREqYIsKN9wTwJ3Iky0riejN/Hpdi8txRXma0oS4pVQgJHQSVZMTbxPl6G/5ypo3ASdezmYzPP7YwsMmfS067UwfQDdk3+MafAPMSja+JG9m+fNfVyTPQHuOOWNF2kqLrNlbZZRYT2f9T2IIAi8u/Aia1j5g/6/okXSsJSs8Fh9DofeyzXUiGbDHHNezYuOrbxk3Y0mLfADy128Yt+GUM6ypzBPIgPLtl/SqAn8L569w6oK50uwgpI7vTbe67bSPjmD0qzn5tzTqNWrzAg9hPKrvCS2M6c1kBPUeM1tPDIrENUaqGsVyPEKPekw5h/8Pfa79tF492YuK2Y5e+EROjI2VM6uK0sQZES/RH05g6i1slqV0ZjCZD0nWbNvRDMqozn+KkWdGZOuh4LrIqGhr1H0nGZ9qJP2qIcWYYaO1s9jzLawVJFZaLqAavApnlG10rzSgQ8HdUHCZWnBnV2l3TKIJriEUFijUk5R8QYQNUYmlSEuBALs3349iswaVyc3El6aIpvLsuC2U780QXY+Tt7YhvLiJFKXkh9lD+CTTQx6b2R7pxfx1eNYLyeR/Sna/R7sXj8BZz8j67wImSrf3T/H7do0xflL9FrsnN9xHT/ztnP7QC8+zRhS58t45SZku5uiPs3SxbP4fHbS89M4pifJt7WT8LdSrFcpa66MjKiDQdry4Mhp2XB6Ek1bhOYdU5RWZaraPipqJWmxSEkjMKxupEnpZiofZ6aqwCZJ9BoHqCY1XFZNUZTmcQczOIb7sOmcHEq66TVI6NPzbK7146jl6fzJExi3vRtfZDurs0kKLKPeeD2XZ9JEpDjr+nbT6FVRtGuJiHmaaUFZVoAAcmwJZSTM8OBeIuEsC43tHOjfwjqjlvTcBBWnSLCQxiWZ2dy6G5XNSTi9THFeoqPBzXT5HB6zn77gCJJ+lcXFnxM11wlW6ySlKoq6lqrWRsngpXdwN4JcYjBr4kS9QD6hZJ3KQFRVwCyp6FRpWK3UMSlEVis1DqaeRaWSGA8/jdneQj3nJi9coKdYJdwosqQO0VlvJTj7OoNbruKO3RvZ0+OmWi1y/PjjnF5p4uq2zbx/w0102TtQqFRoWlv/t23j0uUE8e9NoPYbUbn+7yP4flWtY5uvoWJvaCx0bh3JiL+CNvc/F5M3MzOj7ezsLHZ0dFQ++9nPelwuV+3uu+9OPfzww66BgYFCa2tr9bOf/axndnb2t6J1/NtBtLUKTB8Aa/MvjP2nD1B//H7mrTdw3mXlr91bAZFAPkhabfkn3kRAAu5cO8D7Vn/KhthZLtl6KIh6NhSmuCn8CmctvUzo/WQMFvZoBEbqS/yXjJkiCmxUqMgivtkFVrwBWqefYqtORtF7M4gKmrRqhkx69tivWDpibabmGWRuTcXxqcf5I/sHOaZfh1pdYKg0gaHowdP8TpTBMzR51pErLnNr/AX8/jOoUiFekcI0lHV80/9B9qXGOVQ4wh2lPA/MPUFQqeLBxGF8Ronv6veyqvHiUwlMqdy0WK2c07m4xmJgvlx9g2DfUEIJAlqpTk0QaS0XCSrUpOp1zmaLtNYUfDNWZcmgJpk2cMK4hc70NAtiE1WVmpygBgQ63Q6mLSomhTrPJTIUps4y0L2Z+iYbrtICqvZ+Ekdfx2LeiE1sR5JkBEFAEK7MBQtKB4JSxuDTo4naESeSaOf8vNZ9jsuFGYbnjYQbW7Bdcy6JAAAgAElEQVTlm9Bmm9GvbSCZ8KOX9YSVNtrDjWgWG3GKbgwFH6P1Qf6u7Wo2pZWoolPIJgcH1WNEslOkcwuU6nHaXSPUizUMVTc7FF0ICHiiWXSRRbauudCupchXR3ndYseSXqNcypPUaJH0JrI2O7JdT200SMbkY/HEEokzr5I5u59caYzs4iRzp47T1rGN4z9NYkzP0+kW2VeJsm3j1aTiUeY33cRXyxUe9DvZffIIkz+/zHQ6jv+JJS7Gg2y/624sPj/6RB7t6ZMsuG2UylfsH6s2F3JqBV00giqXw2HZgNC6l5INwotxNNkeFuqtlPV6jDUTVUWRgGaeQkrCrwyQlmRm84sEy4dIq80csKv53k278MRCBPR7GFT0QN1ASDdFZ8XPpvoActVAm6IJNo3Q6N2AYtlKLjKDpq2fsfOgtq4yUZ/CE1RgNuixP/JFLjdvoi5k8en85GpZND4HaauEutZKsZTFVC7iyqVoCsepFyFbSYMMBaHMUiROZiyJ06RDVQjiyttYEKOsqw+xRdKxphQ4pDiJV6yTVUmUtTGUNROKuh61r47oSaM4Y2HSHSQdtdFylZ+QMs1L5eMoqgYymiSXS0VMso5T8WNQHEWs1VAbm7nGtBURAb3gYZutn+h6yG/TsnHdNmzrfKwTJPo39qJUKfn5S98l+cSzxC11zoT6GGqwIq0WOR1JUk6sYLfZEMV/ulpV2rSo/cYrFe3/g3PUr4poRYUCV6Cl/KsgWYBAIFANBoOKBx98sOWJJ56wdnR0lHw+X/WTn/xk+BOf+ETgoYcecpdKJeHhhx9eNhgM8sDAQOGBBx5o/trXvubyeDzVZDKp/NCHPvSvIoHot59opw/A4++FhuErZDt9AFquYj5v5+kfvcim7GFEs4VzxjbSKhO6eoGaqKalEiWjNPABaZZsIcusoZmk0kRc7SSoa2DM1A0CfGz8WbpqU+x37+H3gz/DaGrgHe0tKHJhblRkkMtZxkQbD+hzbPAF6FNneNiwkR5FkdFCkPbwGBp7G+1GwxWSBRAVvBK18P6nY3y8IcVA/Gn6Y69xt6vGmC/NfKaF9tbrCCoCHAoM8HntPu5IH2AkOE1btIwj2kY65eAduZd5YDVBj0pg3y2fx3zuUa6Pn2JN6+N3pr9HTqvignGAO51GrMnzNC2/zgd8DloWpjmgdb6RIgS2YoKSUkdNAFc6gVzME9eZ0csZqoKGglAjolXgEgRW9GZaoqvM2pqpqq54O7skgfJimpuNS7y3rYeey9PcqaoxYmkgWh/jxxe+zeAj55i/cJJKup2mSjOlehGV4krcnyBAPZVGUGlBFhHzddTddgoLCUxNBqw9B2ip3UiovY+j0jJO2YI730GkpOFl1SVmHRb+athFx0yJHtzUBZExh5m2sEChMEXv+XNIWgVKtRF1Jk02OU1BtlG2NfPIgAEheYFqMYVHstGjbCacjGIpDNChMLFameS4X8tT19+NrS5jS8dQZ71AFZfZzB3vupdcXkRfjXNGcR7V7CIxa5oOnZu2qWUG3vVuhu66A3N2idCj/40XC1l0oxNYVzxcrNS4FFJyOaDj+ulRDM8cYrDx3aRW8hzpqjFw0/Xo1UssliY4G1HR7/DQsH07q7OT+EJhmtxeDOEoxWIOta+XY+0NfGuwFbGcpqcgY+stsFpyIOQLaMJuPN5ZmjYfYbFuJR0VGdIFSGkihJxK4po0psQ4dqnOcEZPNieT6JQx+c7gSXfRUnWTD49hNXuRHCJiWserQoWqMkmi4mBQbMYdOUeruZOClCMTvoDrum7GDSbk+DBO2USnpMNttpNIwm3VnSxmM6i0CqpSEWsxh1olUpWKvzjVEaAqFFDp8sSVBXJ6FZmyCmVaidvgJZgSwG1Ft9jL4KCNQGA9qctanCYfhr463p46Y6PnaFCLTEtLnFVoaAm4mTp1AkvVT842SaRaoWwK0SZYsCrakRR1rnLdSKVuwqkxYlcKhFRhggUNYdUUj6Z+SLN6PVLoIvW/+Ou3wgNamnqImavs2HYXt65voq2m4MC3xzh59hBzi2fx+xtwOp3/5BYmiAIql/7/2Z7x7SqGAti7d2/uE5/4RORDH/pQ/J577kldffXV+aamptqHP/zh2Ec/+tHo7/3e7yUNBoMMYLfb63/8x38c+chHPhI9efKk3mAw1O+4447Mb/o7/J/gt59orc1XSLb92ivuUI+/Fxo3Ytl6F56WVkSNzC1TX6UuKDhpHaQmqrFW0vzJ7De5y67hvqOf5BpHiiOaIWY1Hmb1TRjreSIaJ3emljlb3MQNQgH38Fa6bXa+VbHzQjzL/rIOqjkagsc4Y+nFLkj8j6qOTmONpuJzhOpK/lsqQNv4f6ff4LgyG/tLaDRI3Jp+jFazguHxJ9iZnccUmuGcsIH/EPgUrqmD7Jr5Jq5Mgr7CcW7LrWBJxFgpbWA8/ods0ryEQu/AmvkA64rH0c18n9xMmiPN23l/71+wUVXjfT2bQKnmW0mYVzg5ZxnAuRbFGHqFw55NV84IESgpf2H7V9DoievNIMtU3/BDjtauGFm8edd25hYRogWyVuuV1wjQp0lxfuW/cO+EBee3vkT3yRkERYKLh1/jgmErwy4rrgUJV8v1pJUpjIKZqlRhRZnEJOtQqHRcOR0GEMjp88g/fYhSS4lSyyrLs7swx9Jo9bMoqyYquQwNqkacspmNeTt9aRljSI2qnuFFv8ynh20EwiV8ywKy0cVl6woLiihCocCh/nVsrnkYH9zAgVYfmqKGXathzI42VpKjLGZm2WDx0KIzMq8PYxMFOpQKrOEFnB4z9ZVREMqkDEaiowtMplYxB3ay+YZ1IEt059QshBOYtu1iYeRd9Plt+PqbMKr8VCMiY/YKpSYFwfIinQvnWa+pUjh2kIX2ANYOC5eD5xFc/XQ1VSgJ30anmUad0dH0xFFEjwfbps3MBRcQogkWu/oxCBqSDjO2XArL8gmGZhewtJ/D0juJNpsnM7GGXmFizWiktiSjWmxAvRwjr9EzqG0jmhjHOz2OqOnEnvGjU09Tih1jyVwkMPAkjalBqnNhCoqTCFcN8ewrX2F1cIA/77eRT0/Sll4j5xMIePMstnioLLpQt1gIa1dYOvQyjhEXxmYbp9KjpGPzZA11QpYsSaKUpRJ2qUpRVFCtXTGCsEgO3JIei85Nppam8ksFVlGVxVBJsl3uINiUIDQOy/azhDMxTP16+jzrWRpNoTVXGJ09iSHfRHt/K0upJfqtehTJi6wpU8j6NBIyjqqbHXILYsnKRBlMPhuNdR0lWYNZIRIvrdChaiBXCRKZeonBcCfRWRsHMy/j23MvPTftRVx4GaWjg77uLXT7bHS4TVhdOvTJeYYf+zwd73wHvTt2/LMV7b8Ub2ei/b/Bo48+ar333nvbvvSlL7nT6bTi61//evBNIdXbHb/9RCsqrpCYqHiLdCut1/BKushQeztWsYRq4kmGeq7iWdlFStRTUmh50TlCs5xjLdBNWXuAP7j8Y1437iCmstCfneM/LXybS9Z2Dvobychhvif7CCtthCo1boi+htlg5pDg4aylF4DZ+hVt2VhJw7TQzSXZywc0C3ygcwvKjr2/aGu/AcWRL2A4+zVecWynKXIGhcaMUCvRmVlhMDdF8+pF4rKFjtIE/UY3UmSSF5zb0HsnscQvk2mU+fC6j1O2nWVP/MeU5zIEX7PTqV+gTzHLTzUBDsRUbJz7ITv9WjS10wyWRPaeFdlvsjJkc9GsrTIrKemJr/Aniinyej/LNZmB5SnepzdhlmRmlCJ7LDoWylVABhnapo5hFoYIuq5UpL2zk3zDomekciONk07CFgMN7e9AOH6A511mFBt7GGwVuXgxgm/5PNZ3bqBmdLOSXOGgegwZGZ/VjaSYZW75NKruJl6dEMi26VGeiWJVr0f/8gzOwBz13eOM1vfSIloxVnWEa2GcgoXWPOQqSQSTzFjtLIE1Ay2JPEqdTLYSpKK9sv6LjT0cGt5MXFfAnk8x5nLiTq2xqWznpG4euSShMrgZ0LdyRD7DnCHPjFaFZ+wEssmKLanCa/eSzzjoFXVskIaoZtcYi0BFWiX98jHiVQOdHZ086WzkW1YnvmQVU3SGiqOD1ZNVBvb0s7W9j+pEmoHmRpaOP8Oe7e9k4JrtZGPzlBstmKxqlkoxpuYiCNFWKqEYWU8Po8sL5GQ1pWSUknCl5Z93uHAr1AiXz+Is1Sn4WxEmC2gLRebn/Jja1RQFCFRkNGELW7raiMpbmM/HyOXnidU8lPsC1FI2FI44L9umaKruYnOxC1+ph+mQRP7ik2jf8x4etR9hqhqhuaqgkwKm0ArDih7OFJ+l+fHnaNlzM8VUiuPSBMaYkXxsCnVvM7NzC6xqV9Aor6h+fY2+tzygi6ICp95JoVJAm29EqimJa8JIUp2KXMZZbMSWTpDVXyGqkk5FtqXOXHyejv4AlWUVlnYNPwo9xoatvUjpOktLS9TVWTy6Flq3NqBaqrE29QoRjR6HqOSkdgZd1Yo9MYBNNpJVKUlX6kAe97YWjnsv4VDqeHHtEBaHhXb8rFWypIUoBa9AS9ZIcsmKW5fF8uJ9LJbWIzjcHP2Hn+LsakWr0+DubcTQ30fz9ftQqFT/6P7PlWp8+eA0g41W1P9CAdRvC9Fu3Lix9JGPfCT6sY99LHr//fcn/rWQLPxbINpfxhuk+8vio67GXqoN6/mq2MWBmgUZ+GDwCXakz/NV6x5eVHRztbGdbcYAurmXed61i0VdA01Shh86ruLG7EVuDr/Ac85drFbrDOUv0Wu18KzQxFs9LvkXCuahzDjXZI6wRadC4dtK3tZBm1H/i7bxG6h61vGVuoY/M93KkKpGe+QEAAok2ovL+IUkXvHKRiS7u3m85Wo+4v84KYsaU+kyA8EgKmuN7zpvpEmYZ6J9HYfWbWCb4iKfbnsvr7pv4LKpiedcOzHIJZ4XdvDJ/gHm62G+09jDZYWSOVlNa6nAnMnBvpSWy0Y9y5LMB5aeYE8kjGfPdexP5PmPjS7Wz0/gjByjc0ZiV0Xk7l3bSFKnuZrjtMNLr7mR+nMp/CqRFVOIlps3sVaf5DvdR7h5+QSuvlHsCzkuECJn7eP4qWWq2TNk1HDUb6TLW2Ptqf/BpT0K/Nu3MynJJMcO4m39PQIMofdaOJ4zsKbaxRe7trJVY0eIrnBIM0lRSLIcOsFc+ggxtZFpk8BwJcuaOkheEcNV8rNZ9KPOCdxUbmRRCHNb4ji+pTxxvcCF9n625y005+skgIg1w0pukVVTmajRz8+37GYgkmeD1MCMNklXykW7po506VXw2ulVb2aL0s5Ql5rHlSEevfEBOjb62GCFXfpWNkkhnv721+kc7sC/qQutEObEwVepLEyiXdfHls17sYwZyRSWef3154hLBqpjlxAvBVGm/cheM53bxggHJQp1NymbG2UpjycWoyhVUJQL1E0CpU1tqCeXcNXNFLMxwgU/+gEDPRtOkU02U8m6kEynUex8kVRYQtAeQgwqkYdMROoZpMo0dW2dxrYWCpUc3coGxlNhJow51B0bOZVYJb4SpLnWjxDp4uYGN8ohC832XiqdVsodu+h65x4WI3MsptbI52s0bh5Gp24gFg/j0TXQ3BwgkUhcIVlZfkuIV6wUCBgcDGQmiNQ7KOtiVOQK3dYAbcPdmBwJpkNBlEoDCAL9ra1s33UVVreeCwtHKGSz+PN+vNoGLs4ep67JooqFKJYFxpcv0ltsZKVjAxuUFtJLXbSkhjHXfHgFJYN6FV5RQNVRYbR2DrUDDseeY+/qFi41LLI9PcTzulfIdhoQp+dwunqJaiR0KjPqgB+54UYO7NeQnxunN+TiyNQJ2jevQ6lS/rNCqC8fnOarr8wgCgIjHf90S/n/FL8tRPuvGf+2iPYN/CPxkULJQdz8ebDIg8zwofEv875mP4PVMHPFMleXF7lv67vRAE9HU5ywDHJz7FX0lSxnLANcpUiRNTby3s5u3IljHNAMcla4cmNcEznG/Bv5rG8irHFw0dDLWdHJ6WyJ/dEUg0YNHYZfqAkrksRX5s7y3akv8SF7A7sWHua4biOBUoh66zW8rO/Cnw0SlHdhZpmIuMorDR5OCCNMCz1ski9yQ/YiW61OHEKMvOjkLz33c8Y1yJK+gVedV/Gmea6AgCL9GCMKJR9QxIhcepRnXbu5OjqOToQprZX18QVKNiXPyXpAYDiWY93f/YDx9i0c0mnYOL2K9onv06dzUSqH2dHWyFStwsXTZznsb+IDhRIf2NpGRnqd8YkU9bmzZENpbPufZCCwj75nljnfdT8rc1n6Fot4jh8j3eMlnJpgyX0dz24ZxpzLUxs009b2DLEzSp4sZPFHJpGjZygpJV7RyXzuthtpv7TIzrxMz8x+lBMryG4Z5e2d/Cyfx5bPM9bbxvMbdqPNrdEQS1JVi9Tj8wiZZSilGLflaFUfp3PwAJG1EkllM3NuP87wJNnqIkV1EVU8RbWQw1OCd0tbUMaXuaWkoVEOMO6wsL3WyJyrwhPrujD2t9PYpEVqFDgjzcHL5/G3qdnV6uSzp/4z7zsfQ923gdG1GLIs4bTA0498k5BeS6nqo9/no/tdV6H2G/Hs7CG5MEtmbgplNnPlqqpUKJeNMF0kFbJAsYQkioTtPsRyBhmBme5hss16vtd8E13aNO+o7EZqCiLFqkS1AfIJB5XJASja8IktzEhGBNlF665jKEIu2pt3k6+U8KzlWWcaYSpzRbyj0GboeOpx8p0b2F4eYDU3hWluFVHpxWtxsvv9+1Cn3fz8+UOEIrMEczEuhGe4+c7bWJlbIFlJozdbmVucRq8zUCjkcblctDgaUUXq9Le2sOHqESp1AUVQR4g16l1WNsoDNJcMNDe00XZNP8+/sh913Yc/vIlBpZVaVqRy8SxqA1hsfcyei1JVZ9DlmlBWDSRLq3h17ZRLGkqWHJp4mIutTfxdXzMjYR2KUpRyRUGVaUz1OkJ9DYvaiaDVk4tp0GsDxB0hzhRneMn2Gm1CDzNyFK2rhK+xn52xIWLlFcKGNEtr83SObEMKFBi+dj0Hxo/zuYSVnkYHba5/PkRgsNGKKAg8sLv93yva3wL8myTaN8d83qwim7Rqhs167ukcoMfuRGFw8OWlKI823MZZXYDhyR/QueUeOmef4WxNw0OTn+dc992cFl2EKhIH9d20rr7GSrbItL7ljU8RsNSzrGmc/DLRGqQs1TdUuAhws/wkv+NUYDJ2vPWcg/EMfzZX4IHO3bwn/jR/7d7B33oeZCg3xUK5yu93/wW+ZI2J4HvQ+8aIGzUs2JycFEa4WX6SxlqWOX0D/a5OLO6beebQOG26VWaMbXxs6XtcVzxEVzlGJSFwn+oMrUo7j6pGkPJRVlr3caamYUHvJKbQM1DPcMHkpdHuxlWtEZTh/i2b6N++lYhSYuSSxKg3x8Nbr2PL8z+nw6Cj9sLzjKmLDPpPoA0puWNSgcE9R1j+FCuREIu+LuyeLOnhmzhXLZO4+b38TdMQg/Ysw4fPkjDomFXlkYGqEKZdrSGSS/Gdtl0ol3XMqnbyUn8PelRsnbzIuDKDmJ7lGu8QgXyUSHaR8prEvGOYsCHNuaKeg327CaSSeIoZ3PEQTZkkQjqCJh4lZapQqNc52+ZHSYVK0YAqaCAe7kcnFgjkCthTSzhSReT4GpKiTtXrRkqu4BICXF33UETmu/ppvrN5iFroNEJe5B+2baWNEEM+G6d+8GNUCkivLHNt6zqu2nYTm55fwPiD57A5XZSaGrg0PYsplaalu4vw2HmaAw1sf+/NLF8exdLqZvLxH2JEIH3+LGWNCrEuUTNbKHlbKEfqiOUydZOFqf4tPLNtL/ZcmomuYQ5t3EPg8iz+yiqOSImK8RTWLS9jynYhrok0JHXEM6fpNrqo2J1U0w0Ei3FE9QCR+T5qYdgldDEpzVIqWkiqMhQqRdYqRULDrcSkGqFSjoSpisFup6ATKcclkpk6kXCUYOEiAVcvZWOZxxT/QLAc5MauW7g8cZlMNkNPTw+htRA+nw+lUkkynyaYD9Pc302INX48+Qxtod2YemB1OU4srkNLBu277Ax2DDMzfonE0f24N/SzNtTP9kArHckmxkZfwTfsp3dgM7qkmsKKjc51zSSmoXtjgIX0ZZrtOgzzK+R0Mr64hCuUYcU0QU1KUrSl8WhN5LUqykKJGdU8U4Ui2dAicrGKNTbAOy03MRS2s77SjmmhxiOqJ7Ctb6Eh0MTmkREG1q0jYgjzZ2P/kdyCTONkL90bZW7xBFDbtVSrFc4cfQ2X14dC+QvrArVSZKTD+S8mWfh3on074N8k0f7PUAgCHrWSLy/H6Wvu58haiOvPfJZT5gFWtS72dW0keOEpfp7I8TPPXtS2AJ61BSaLOkI2PxvTYyxJGo7YN/PmOSUCrKmd/2hERi0V6S1eZk3dQNvCZfZqS4yEXmKTYx1KV/db63mz4n5PcY6Tpw7yBc+DfGTp+9yztp/mQpjeTJ3rsk8zNlyEjllOWwcYEEbpYBpfOc3fmP6IA5bd+CZ/ylJN5Bv9t9KynGBdaZo7HQvUvOMoOz7M98QW7uvdyu8mTlNdOcuXrXs4U9WAANdHX+ee3CI2l4szdR2zpRqdtQKLqLjh8ssktuziw+k6dkuMJ3RubrOUsWnNzBWzeDrasa+7jM91FqeiyqRrMw1KHe6yF7vch+SNY23/CSV1B9t3vINMPE7D8stsb3+M11wBjjuyDNW2YFLZqUo51ILIzqwL/5qGodlFTKEpKsUYG5ZEgp12kGt0WoZ55wO3kp0PUR4dIxQw0zRzFtHTjJiJYCisMKSbZahtG22XoyhVChxVLblaAtnVzmxLF89v2E1bosCQ0sfOzG5W6gnyujLGQpqAqERvUpJPRqh4A9hLOlpNzXQqWpmWQzTgpJKdx5aKcZ2kp6FuZ3NGTZ9corOhB8+8l7n502RrSdZmprDlKwze/2FkQUTd1gqxKIpygZZHf0DHbbeTlfKMlyooKgUOf/urZE6e4tT5U5RjAgkhj7ahiUohh1gpoyyVaJKdFGppqJYxlQrYpTo1g5HX+7ewfmkKW77Ai/17aFxMo1qcw1Dopjf/LrQ6D8XqIgbNPqLqODOGNFlVFkGtxFpyEKnNki5cYkEjELbWUeiq5FRlNLkqSC7KQoWao0awMoNBsFJPRJEMZiKijXTuEh3tXShlLd4WM0sz8wQaA1xcvMhw7zB+XQMrK0HaAq2shEKYTSYWlxbJZrM4rR4sVjPnjpxjQ9s6POst3HbDXrKaLC1FM+6fPcSKepDD0mGmTx5jxSMijAT4G5WT7S4LdouGC1M5DDkFQlpJy4KEc8hJfnuYrX2bsJhtLJ8q4Vzvp6LQIZcktNUIhVICWXMlI1lWykTFNBExxYIiSryaw5RRUy+dom6xs2yeZktPD+WkFoUIToWTDe3bSDTUOX9igsVkGUuqyoZ1GzCk5plemefu8lY2dreSe3YBtd/I6PQZ3PtlZvVB/M0tv5b97d+J9jePfyfaN/DQQpiHFsMsl6r8bVKBxtbKU6ZhQEBOzvO3QhebMuNsS1+gI3aeP+v8IHsTJ2mrBukqr/Hsm+1YGf5g+Ud4KgmmDa28Vc3KMnVRzZq6ARBIWp1MKC28ZN3FQFM/XcZftI4VgkC7WkQRmyagkhi+/H3uCR9AKUlkanfjzL6Dg20l/rLpAdQpDX+vv5+e2iwD4nmCSi87146zyXCUzpen2D3/MhuEccpqO99v3ceU0IHPuB5t3cz+qonG2Chbjn2G4949nDJ0vnWevGBoYn3iCN8wbrmiPhYEbHKWsKDltqXv0JxYZeuGa0kabfjFFNf5OviUbGCrRsVqJES/fQlJH+VYfivfcm0n/eoLNH7nWZI9W7kUylMp+5mbV1EsOThz5BAmUcA8UaMSfpD1GRtbPPtoMHazWlullljGX3fSdvRpwoogteE6645N0D40jF6sEFVpGBA7mbp4FEErshqdp2Q0UdCAqdJFThNjt2aRlv5XMY57MVR7Ka2Mk6i00NzjpZyPY1yYojFS4drpNSLpFlYNZ4mvnGTN1YhUWGbdyVHG/Y00qhvQlyCqr2LNSMRzc5y2xUlXY8ybSgzqzYyVV1kSIzgrWS4kZ1FrJNS1GBcWXseWyqJqbsb3wyfQr1uHpsHP+U9/iuPJENnYGp333keVMCcOvo5YyuMsVVCr1MzFong1AXZ63gGtFiaVMopSHl21QqOqkRHPHSTLa+SqcZTZNPZUDHtkBd/KAjvOHaU9uooxskRfbIWsvwnVmh6d1sFB9UW6yyL9pvXksquUjQaWTa00yjXWyilkjZa6xU5RU0Kbb8BY1LBZbKZU1pAxxXA0OyiGilxyTzLiX8ee7deCaMHk1uK3uylISWYWJ1hZDdLW1oYqpsIZc7KxYyPm+RLBGR2VQpxMPYNBayZXyAJQTWlYisyCDNlYljPxY9ib7dy64VacHXaeCQssyUuUxiSasjfRbk2xe+pldjRtZN3zWSJdacRghr6yl+VgiFiDDZWQ4c+XP0WnYgAiehRdRY5eeJFSWaYi1t8YGdKDsoasetNhUIaKAApQCnq0mXYEr5Z6VYVeUGBYFFBXytiqWgQE5vIz/JX8JdoVmzGehtWLj5FXLOE0/RSf+hr6d1+PZVMD6iYT2i4b7oYGZvVBhjZupTSV5GjhFH6TH4X4q/M9frsS7Wc+8xn3/fff33Lw4EHj3XffnfpNruXXjX8n2jcwbNKhEAT+tMnJ5sI07xq+GnnsZ5zQtjIrmrgldogf+m7iD6MvcEHXzEnLIBPWduYMzQjVGKu6Jt4UPhkKWW5NHaUGzOnfePyt7rEAssQN8de4Nn6C05Z+bvc46DRo/9F6qpefR/jR70FgG235RZSZRfL1rWTrHyQvvMx0ZonN2kt4F/Vs8D7DDatHOa1az4eZlysAACAASURBVBfVf8ou8VXWq07Tou1grOUe2hcWEPQR5s3dnNb5OVjzIqycYUrfzGnBTg2Rbzbczk3Rw3x86XtcZzOgdHXzRw0mlutKpiQNnWKV/3r0P5PN2livM3FgTuZMReCxqpKpkpJIqcZqtcaNDQ4KU5cZip2jbujGottHLL7KwMnXEHzNuIVeQuU10mUTINKoS3DdT37MjK2IT21BPbdAUJxBG4+T8WQZNclYtXBYvYw9oKduCtK57SL5ciuXCgKFuXGafWZm0mewzKXprW9HXLpMQaMkazWxWfCRzi6zLJqxhttRZQZ5RT1BoaSjraeByYVTFEx2FFjpT0K9/2rE1BEWLXXmfU08PXIDbXE3psg4JmMjK/oa3TkTfYouxFyKlfIUWasNoRyj/XKYq6/dQsuOEfRrdRbO/RxFKU+/zc7sTx4hYdCSdbpIuAOMu2RU1w7Rs24HVk0GR6CP/lvfSdfNtyAsJ0i9+CJ6rY61hRkiCgX55i6KuRDp7CIlbZZCaBmPLOFYWSOoKpKshFkpLzEb6MSSzyCoVKiyaRypCHW5RlGqYk/HaFpeJKuQqCWXqJfTFLOrWC+e4/kNjQS1KSYdVp4dHMKQCWMt5hAlAYusoyRUqWtyZHQ5ssU8PVv3sPGqPnKRKolkhGu2XMO7b3gvrx+7xOWZC+RSUeLJCPF4HJ1GT61eJZlMUipesR1Fhp23XUthZZrx7BxixUC2En/r+peURXrbhkmHKkiqIuaqmQZdA8GZGC8+/SxxRRJD2cNZxyh+Y4wD+hXElQdodDoQPAWKU3p6SxZWpSytGhuVbBV/RmRj5WqmT8qszaVBl6SYzYAMOoMHjVqgIuXfWoMsyCgKakSPFo2splIvUNCmqCnyyIoKupqJFWWEeUWEeGKccOoSx5Rh7uy8ld5ajvZzIayNvega9zE/ridzYStKi4H6UhbrkIvKXBq1TYe9aKZ8MUH62Tm+tvZ3WBuctFhafmV729uVaO+7776Wl156aerBBx9864evVqsofk3hCr9J/EZDBd5OMCqV/GmbDyafY99T74X3PMonzTmGJ/4/ZBl2Oh28Y/wlBjhPobYFZIl98aMkRZlT9hE6ijPMaNvpTM1yuGGEww3b2ZAe502GFYDro0doKa2iUGr5ZsPtfNMSZ8QfYI/T/L+s53B9kInabfzhsa8y2/Y7GOpTlGsS53I1ho0n2NUtsOI5x3hiBxtTM6w1qVhfmeET8hfo1o/hilXIt97Jj6ZKdGY7+NrAfUjI3BJ9lYbiGt8OvJsNUpyzohMB+OjS9/ly4F7abR4SCxP8XJWjNbCR29w6WrM5HiycZXnT73OP6GVk532UfvAYMyuLbJPguNXNmVyRzWY9zaEJIoJA0HwrZyYk5u1JTvVtpn33KMqTa8wrx3GEVqnrlDgdJv6+cpw/f+e13HU4TPB3B8hkx+l3XEurucaZg0fRNqkZbezg57vuw3PwxwwEbmFifJxk3YsqFsIpgLLmoJJZ4XyHC2c1hdbdwrC+nXAtQpPkYKFgY6LJiO7My/8/e+8ZJtlV3vv+au/KOVdX6Jxzz/TkGWZGk5QJEkggQARjzAFssI197GufY2yf64BtAVcWJoqMQIAEKI/SaHLUxO7pHKu7qrpyznvfDyMJyT7X99hHBnzQ71vvXc9+dvVTa73r/653/V8MThHsWmrKEGuzK2gSUXQGD2mTgsN2icfX6bm97sRRSOCtVbjp5JM4a1XiTgNNqjRD2UaKoRdQOjbRZ91CKVkkDCSNFnymKoVSgcdPfp+tdQueTB1Xbwv6vh7m3DbaoinqQz1MzE+hzZZRvximVH6Kw8d/iqV/D72jv0GtUODQC8+w4LZBrQhaNep8DpZnsNdq5BJX8Ldu5LrdHnL/dIjzfg91UeBks4VSqYNH9r+TWw7/FJ8CdMFZnIUCqXoFdyqHO5VDBDaMTSJJMqU+I8pcmuPbt/P1dRu4/YVHaEyEOTB+zbNYKSipUYV8CvQqZBkMgoKIqUCktkDjyQyrq7MkVBkUNQU/eOAHzM/P/4vfcjEjIWiUSNReuTYxMcHXEglysSRU1Ujq/GuqjNva2ugbaefq3EUMZTutopHqrMzJ6FOE1THay90057rQp7p4susrWKtmQKZ+OolZB0v1ZQKik6w+gaJsxq8UWClLXFmtM7jbj6lQo+Otmzh51kowrODw9BjNYg5qSlDWoC6gECUkfRUyVeovDWJ1TQc1LWK1jDqlxe7UkIq/iE/ZyZpLwdtqGwicUjEXncXfcwN+hYLJUzn6d9yJ3Kti9dkl/HqRYDyPajKNutFIZfGaijfuDnBXz2+w3fdz3+NKTeLwVJSdXa7XZb/2V4W77rqrKRgMam688cbOUCik3rt3b3ppaUnj9/vLf//3f7/yvve9ryWRSCgdDkftW9/61kJnZ2dlbGxMc9ddd7UWi0XhhhtuSH31q1/1FAqF87/s7/K/y6+Von2FVxlciE1b6Cws0tW3n8maD2JP8XjfKAPLV/FUC/zAdzOr2kY2Jo9x2TQCCgGLlCOltgIyIY0LFHCDFOSA18eDspffNuZ4z+V/YHjkFvYO76HLZPgXR3sAAg4TBc8Gmq0qTJfv55RjhN7qBUxNBgyjatzb/xzFqZ8xY3Nisy8gKQTOiYOsr19GUFRoqffzlHoL93sGeJMmxVsz36Urs8yn575AwqLjoGUX79Wssq4So9+gxlrOUqrX+YF+gKYXxwh0drGrwc3HJpbYKq3hfPRP+VHQxbFCjZZQkLlAM/c7W3h3vMpNi6BqNHKsVEJ64Wky/RvQHj9BwWLBVMrTUTzP9R2PINXspMsuClYbfpOZRHAZl3KAitlLp+0WUskCo+oDuPCyqDcwKQ1TV5ZRmwX2pSw0zc+gV0t4Oox4zs1xVRzDJ/cwoxfwmhrYUOuG+CSrGjhnjNBhNJEeO80TfS08smEDzmwS89JltCY7WlFJNpekUbeDXYYtnNGXMdYzuLMpPNko9lQJo6aEZfwSzdUSQucQGzq30xrzUwuOs5I8z4oiQb1eYUg/ijqTYpPtAM/EzxLPKgjNjlOkyFosQuvIBkSxiG9wEwsTU0iZNMZSmV3b93H43BjTc3FCwQj5M2e4cPoZlmfnQKHAb3GgFASK9SoNVjsb3v4url49j9g0hrrrPHXPBsQwXPS38tCed9A9d4W+2ctsDZcoayrUikmq5QpaCTK6awV4cw0OCgEPTw820fWeG9FMLqGem8OWWaNl7gwKVDiDcxgEPSWlgKWmohJdxmmxsVJbonNZJtW8ia92NKMOL2At5tBJGuJL8VfOvSLV4ZUmFIprqVj5pSOPr/qp5/N5qkgg1q/detU4SCaTOPQB3F4Hi9EZHG4fS3N5WnrjlBMa1MUWrtdaKTXInNMdoj/Tg1MyslFj5qJihYu6SXRKFT3lJqZIMp9XkVx+kazBjTuQIzBRZc64TO/oOs6cv4y2rQebOkOLuZdYdhUUMkaDmUqtjFrUUJfq6NRGKkIGWVmirqlhkBPETFX6xPXYjV4uaFdpVVgplLVY6gbGJD1lZYxWlY6kao6BgQ6yqhjWqILIUAF7zUxlKYu2347lQAumzV5a7a2vSRs/P7HGR75zjkG/5V+tUv7X+FVUtLfffnv6S1/6kvPEiROTpVKJ06dPG48fPz75/ve/P3nHHXe03nHHHYnvfOc7S7lcjs9+9rOeu+++O3nnnXe2fuADH4h985vfXLp8+bL20KFD5j/5kz8J/7K+w7+FN1LH/5yXDS6kOswfgvV3Q3YFz1O/xUXLFv6b4w8pXy7yvsijbKmO4S+tkVPamDc0oQD+eP7LaDQGPjb3dW6LPc9bOwf46OYDVBUqbnXb2NuzCbV/mPbu3Yji/3fSQBQUtHksCIUkz0TCfKj/L2hWinQon+NbVgtjYxMkZYE/8/1XVut+FoQWvqP4IM2KaYbyadoujvO06Oa0dYjuNit1zQXus36E9f37uKF5AAtJQs+PM6lTc59lC0+YBpnXNvCm1GX6yov8yLOet7rNNOvU3Bur41e7uVIp8dzgbrq++20ChgaUYwlM83k2XjzCO0cbWN/XwZTews9MbnJWC/50HH3OR7N5Cad7hvmQnQ2H5/HtcTKZUtJqteAonWVOsvKoI05t7DDW4FXm7SXGph/G7rpCtpRCk3fQK4BUDtDbAPmW+8lNl+jUDDJXLlIz2zB6+8iXV1AuziL7unBVZGrMkEiuUrKqcOXS7JqNYdUZEeVO1swVahYbQmmVmdYmvrC+D12pztDYWSSDAa1aQbsoYh67ilips+BwkarIrM0fZtlRI0WFXDUNZjfl9BIOn5qctshgbzOLsTmGTl4AWSav01DMhLH97DCnMlHKlRImjZ6WYIiIScfoHe8hePoIfpOT8sVLzAkTtG/24zf3MLu8QEM4SkqvJZ/Pkc+kUJiWaNwRITHuY+ZEjWytirGQRZQkuiMzbDSlaDTsY0qTRTI70WXS1KQKgkLEbO8hX0tzxdvKI/s/iPHwUVicp6YUcaXTVI1WKp4mVNkEzZPj2H0b6JaamLZVaa01YXb58XV0sxAbwxMPE0gnUJYNyGL1NQGUf+5wJClA8XO1Clxrwif/fEtFVAg0NjWRTqdfKSZcWVyjvhagWE6wVllF771Ec8cjNCeLRJLryJa19NzSTXfWhCNmRCXKrOSMrBS0WDU5+npHCcbzTCQ1pK1Z9t7kJulS0dqq4fTRh3gsfo4LF5cwT7YzkbrAWimEZboLsWogq0oj1Yv0dnezFl3DlBLQyWlqxQBC1Yy6bESTEbEKzWTyHhoUOoRqhRIqXPU6dqMHA3nOFSxU/FGOJicwXakwuHsdS40xOooBypfjrFbrKJxJLtpWacpMINpbX2NeE7DpGfRb2NnlQvwlWzDKNUlRvBS1KJ26yr/XDvLV3HPPPZ4Pf/jDsePHjxs6OztLt956axbgk5/8ZOMDDzywoFQqWbduXen3f//3G//oj/4o8slPfrLpgQcemBdFkd7e3tI999zT8H9CoP21Sh3/C162a7zz29fsG3veyq6xVb5a/jQBaZb5pg5USHy56Q4krk0sMjIPNtzItzQz2HfeBXIV1o5zMDrEhyfD3D/QglqtodJ+/SvpIAReaZGnfvUEVatcewfguuQ57pu7j721ZR6sDfF54bfBLfM3y/+DTfUTnFDuACTeLD/MEBeQqn0U62uYUkp+iwdw5LSE5018QvuXbLdZ0d5yDx9aOMEfbdrEIbGBDWKJs/VrNouHrcPo1CU+PXYf+31vp6nWyPSVk4yE3XjT7ez2JVl32y08cfUq3bYAcZaZaQowun0L4uFDOE6dYX/HCPaLVxjY58QmtzO+cILpE4N4S17a/6CVBfErbLO9j7lDz9C6f4mJxT083roXbU1g79kUsysn6dzbgab1EZLjuyhenOHq9Dn83RtJH55lYa2RRLWBDRs2M5IrcjKWJDofpKpLshBQU1cuY8uVkObn0NYMGJdn2RGuE5JCtNRb6bLbkdZm0apVxGJLyCe+zj7Ne3m6qw9rfImucpmUKHIpuobabQMUtCBilMLMF+epGhpQIWBxdBFyGxm1+WlY38LT932OhQtKsv3D1I1mTHoN3l370C2uoM8XaA0nMO3fh8Ni4/lyAa6cZ+lvZpAySrKOEpEGO43r/VgHLyJE22BMQV6pQkZB3WgmNDuDZGpgfLyN0qUCYiUNSpElfysnNuzG5y6wOfBNIi+ALqhCkiU0lToFFDQYW9nufBtHIw9TTKzxlqe+R0Nw5lqwA+rU0FcESgoFCVMGU28323IOlAYnE83rqCxfRJ2U6Iraaa4FEOVltJIaVViP2GcllV+BahmU19zArvlkX3v2UO8oqyuTxHK5l+793EzzpYFDnTqLS4uv3Aeoq3NMcQTzNctskkkvhy7fQEOlm6z1KnN5P6srC1RjZQrKNYzJblb1l3BVfcR1aSyXckzlrylrMWHk+ckwpSU/2qFOdDs24VycRC4VqKhjbNbaqa0M0Lfbx1IIBi1rRJ4JIQkypmQfQjZOLncEbY8BMdVFUjmBStvK+pyaFbFGQG0gQC9TpTp27bVAaVabcFYl6vpOLEGBRdnCbLXKW1wDZJ+8igJo8EgcSxj4w6yO+0/9dw4oldB94yv/GrVSYF+f539/PnsdKF6JmRMPTrXbYVY/4n5d2+QZDIb/NC5Prze/nor2ZV7tkaxUU6j0sxKSGEqOM+5z8KH+v+SW6CFuih2hipJZfYD2QpAxUxfLiTC3+r1UImM8O36cbYo46wcPvNKd59XpoHlBem2LvJe7DcWm4Yfvg4HbUMo1uuYe5qrZyanYELeI8+xUjON1HkEQ6sgoCCsC9NSnKQka5jMS37J/iq+370RZK/GgdTf9XgU/zR9kIHiRQHgG+dg9LDTeRGY5zG3mDDatk2I4xLu0YJgZR2oeJtOxg+6Feezf/Cbxm/bR6ZZoG/LQtWUzslTHa8oS1ah4x113cfrMWY4dO44oSQydOYx5oECj78do8jPYA+fRBbtwmjZx5rlnOSuX4IyHgT1vJbMWZffsTSijq9xVDeAy9OJoH+JULkhxLIs104R5LkpBI6OpFPFoy8TDKmId3TR1Vhix97B69Bgptw7/QpysNYrNU2SoshWhVMatcpOWPNSNNTIuO2qlggv6GAWVhRvF7QRVIVxKN3eW+ylEz+Cs5akLoMhnqVsciMUCYq2EZS3N6toCFaeXisuL1mCkGp7Bgpmj5RixxTMsiRHURRViMUeKOms2K7XpKWaTEcImE1GrgcHB9TizJdYmxsm6Hcx327nv5o/iiIUwx8PkV6oUohqkYitGpw/7+Dhhv49ioB213Uq7wczaQo55mxdLPo0gy1hzCfpKEzgnVigvC6zGzMiAugbJzm7EcoFiLkKiHCYopigFWnFFgijLBVCAqq6gbLKiUtSQcmk6FyVStQwLKh1PDjTyZGsDporAnqSeZtFCR93FXHmGglrCVY4yOLgOf2sPwaVVZOVLcvRVcbQilUhkMuiVNoSsHbOvgVIhgVAxgLKGKIjILx+LkwAB6vU6gkKBGhkFCoRMElmtRyjrqdQEJCrUNFkO15+jO9xPl8JOVlHBlu1CW9PTVGugUVQTqkpotCFkxyJ7cl3U2iVGru+jqbudyZNxyOsoVBZQLD/Lhps2ESoVSFyQKMku8pU28lk9yrqepClBzaXBpx4mF6ujEnXsLOip65Wo5SSzJROTJJBrGk7qLzFlC5KNeSg014hOlLnsPkF9bzefqUsoNUG6KwrEOAhFga7Kg2wKlLjOY0ccfufPFyuvE6+XolU6dRWVS1fQDTgzr7eiVavV8nXXXZcHOHjwoKlUKrFp06biF77wBUculxPuvvvu5JNPPmmUJEkeHR0t3XfffY7nn3/e8oai/c+OUv2alWWBh1gd/hIOeQ+7fW/mfmsDu9esqCcf4cb4UZ5wbOeUcQhrLcNf5I9B+8c5ZF7PB7mR+3v91xq6v8TOLhdffM/oK4r2/oEWdttN126+rKTf/vWfq+n264jXZki4Vnir9CwDsxPI2z7GN7iTLyhu4bflf8AvBfmp8nYUwLs1J3nc3gOyzCnnBvabivxe37tYzDo5O/0zztXeTv8td/N/px3c0nCev187RNbdxV92NvEWycw/eJb4nKMPxVSIr/QNc+5Tf8yXBQOfblGw8vBDbN++neMnTuAXz/G9wBKtl12MH53E5fOhFHJUavtRVp8CWaZsvkptpo/wqo0XXavYzZ20JCtkY5NMnpgmsGecUOwU6gxcCeXxKpwEi1ZyNg1qBmg7fJTCjnaktIbdtvcTUx6jxVOgzaKlqvsWp/K3EH9pXqpaHRQbL7GtewVXZQC11E0TvWRrIa4argLg0DSSN3v5++EGpMsXIGnHmtRwPvwozYvTaDrrxHOtGApF1LEYxUL2muLKhpGtRjpMBupXJzD19XDFaGKu2clPRvfy5qe+T2uhRE9vM8V8njlBoOhvIxwLYY9HyOsAhYKkVo040ENo6iK6QQ37+55FcV7GMxWkTh1REsksmkjE5yk1dtK5/U2Ii1OoYyFyTi/Tq7Ms2Bv46YF38ZaD36NjYQJrIMu6LePwHQN58/Ws+vWAjBycRRucRcxlkGSJdGoWq7eHIgpsag9ZkiB4KFkrlAJtlGQZfdRC1RYjtbkLIbnMlqtBRFnBxskUl02rCDVwCCbyWjXOnJV9luvQtzbzgyuPImlq1EsqtEURqTZHxqbCoHSRTCax6p2k8jEMVi1fi62ySbeCT/ZjREFBql1TvzUFKOtQqSKqNCjzIKbm6N91PbMvZCgJInVlmdZ8C0H1JA6NEXHy7RTUUS7q8kgFCaccQFYoiRWVPGA6S8Gc5IPZvVBu5IhyhvRYMx0TMS5ELlJNCpRsKzRLPbj6O3E29XD527NYe0VyV8GjlDitfJTm+k56Kx0sp2xEq9PkrAX8KRsVvZln1ZdY1cWp2GZpL6i5O7GTksLM+cghmmfDXNHGGTXeyJ7ALrpNAWJPL3Olfh+qqTIDN76TfM9GbjTcxPWKGvzoz6Bx42vmnV8lFEpBfr2V7P+ML37xi0t33313y+c///mGl4uhAO69997ld7/73a1/93d/592zZ0/GaDTW/6Pf5RfBr3eg/Wc4Bj7K4Dg4+j6KoDZyAKjc9lUuPfttOtee5DHDbn7m2IECmW+63fzu5FNsa9/Pb7dIbHM5AKiUS4wfeZi+N73tNemgA07LS0r2WWh5088D7Esr27Jc5fLAzfTMHqUhehL6b2XKpKKp8ACflK8yyAUG0isUwo3YnDVmXU6QZUbTV9iiLvIlYRNfX01z1NhGom0vO+ZeRLSu4xNtKr5z7h9RyzKfUF7gNsUNZH84zY50CK1Kzbob96IQRL4kGLh7rohHHiMoy3g8HrZu3szxkzJ/tJzAoEmgbWimdt7Doj9PIG7hkiaAdVzE1Xea56UCzqYxvLEtlNridPRNEVVtZ2WxSnZ8F8OJLrpyC6ymzuFxD9JhaKPmU6NOhLnQ7KF5MECqrYHo08e4uDvE+QtlBoQAwsEAC/l5NqhWSc80EO0Q8UltnD+vYPvh8wQdTpo8PQjxC2BQo8ykuGyG9kia3/zh4+jSQZpcG9mi28aKNEneN07jzhlq4w0k4te8qp2RFcrJCI2BFlq2b+Xc04+xb/9N1IdGOfvYo9gKeQ6MnaZNgEKgnfy5F9n7Wx9BcfRZpmJhKk4v6VIBZfZaodC5x36C02BGzGWonNezHPTiSSYRJBmFQkSWoW6yIOSyNKqh54Z3sPbZv4JoCLFUwKVWoYutwMEHaMtnCDa041tZYP6gTMtcCatWTXvoRZYaG7CLJdRGB9q6k3w+hMG5jUzmPF5AEbyMo1Ilbo3gkTuZtw7imjlNqbzC4c0bebp/mN+/6KGtlKNvIopL1YGUTXPJvMiIsZd9iSFyZQlRKfDs4WeI5+MoMwks6V7MJpFMLEpbvokliwKl3AlhExpfkXw1xHvVXvJFPyigIEvXgqwMYtVCpRrDL3pI5wy4dR1kJT/JRRWSwUHZeG2x1CwEcCQk9BoXRd0KcUMWENBWoviNQSL5FlLeEPJ1ZXomelBkBUIViUyqmfP+55BqE9RTWpTlRgw6A7tLHsSswNUzsxz4UD9uv8jJv32CbmUTlYgCpbbMFosaIe/CNruCpm0QQbCQy8YwCT04LXGe0H2VEeXtnA/P8ybaUZebWW6WGHUFmSyM0321n2PmF5gzPUnPQCNNW7r4ROZJ0vluvt62jQNW3c/H/a8JKysrlwHuueee1Vdf7+rqqpw8eXLqn3++paWleuHChQlBEPjyl79sm56e1vyi3vU/kjcC7asQ1EZcI3/4mmuHZ9N85KifD7/jHh5PJbhl7RBNxVXubbyTdc/9GdQM3Jt0sM6s54DTwviRh+k/8jHGgJF973rlOdV6lWNn72X7wb9Gdee3f76ifWmf9nhtnNraV5ns/Ci+3o8TtQosjn2Sico2htTHoKagErawQzrLn7v+C78lf5aVeI57M4cJhA4yeuO3WblyDCxbWNE+Ryxq4uGjR3jHko7h/X+BEB9j19N/QHWzHwU6Bi2b2eLxYXPaqArw1S4f9dlHOLe6ypYd2wm6/YxG1hCOnaBy842cmoywWLfiHdZxcVKP1KlGUDaSOKnFfTFJU5uSrs3j5C8Pk7xiI5zZwo7cXRyvPc7qFQ0rlVOEi3NYC0Wu6uqkVWP4VmQiKwVKPV4k4zbuXLZS/FCZ6PS3aVOZWE5VcMXeSat/AsPOS8TOzdJe3Y6598ccW+wg7fEQKZs4GnmIUHGB5nELMZUdVWaaaC5Pp66ZtNaCKXyOKYcKnbUVbbiT0GNlPGobekWWWDRCKZtBoQBxzy46LW7GtFZ0NjcPnjwHKGgOl+nNz7CyPIPOaKL7zbeyurLEwtw0DZKSTLVKLZd5KZjIuD0+1tZCGEtlciiI6Tup+BpQqcOIpTzIUAq0owvOEp2d5pEKaI1mlOkEylyapCzT1NyGlIlyoW8zB/s385Ynv0fH0iSpjlE2W/ezWM9RdViwXQjTabdgc9/I1cplDDofU+okmuVZcDlAIaCu5zkeMPHIUBu3Ji/TORGh//wZTLUYlXCY5/ROfBo3itwqW1QDCLU5dFaBhfEj0DvEifkKoZIJhVWBKpOiwa9lWlhmWHUb68QmjkV+wipXKDvaKNfzKCsm8oSgqgCVDIUc6I0YU0VyVhAVSiJyiqayn2JMpqG5gUPls+h9G9EVFRhyPpaEIkWtlaD6CrIa/EUPDpWOy05oqNiQVVEO6p/D8Zwbw5KNnzSd4lY24q4oGCy4+e6573Jn5f9CqRA5prxAS3sjwkUH0tgabGxn/J8+T3lc5FSbh5jQh96g4WS+QnGoRC4UZm9xA2hAVnvJ5Guoog72VHaR1FYoZ54hZB5heUDNO9Q9ZLSj8KIRl2FikQAAIABJREFUsWxjl3eYUmaW39zyexj0RiwrXVS0zdeyWYLwK6tkf1U4duyY/hOf+ESTLMuYzeb6N77xjYVf9ju9HrwRaP9/eDkFvKXDwUjSyG53B0jNbCnH2L3nI9C5na8k8wRmx5ieg+6ttzAG9L3pba95zrHVY/zu1Hf47IE/ZverV7QvpZG3vf0rHG/4KNukJqiUcMQgk7+JzxjexSflPCjhc71/wJ8tPMiXxv87KtU4e1oace7/DBce6aYhNM/ui5+GgT8mtdiINbbAp9/2SYSnvsvvjc3R3tlBZct/YdK2SNu7bkRerZI7soKuxYa6y4ZhbInnVoKo4yFCBjP/7eoyXxsYYdsf/zHqTRtJP/IYTE4QkO14y1a6WmVOXExQdvSxFC6SiTsZH3eRSqvR1RfRzGxjPnuQMfsFbGkTp7wqmjQKdLo+rhMO8NPc0/gvn2N121YkIHoiSEGw8UQkyeeGP8WnaiFMhQdpvH0X9eAVFAoFgjrA6mIfsbHraajP4j37LJOjd6AQOumz21EefZREqwfbmkiLupOsv59p5QIZLUwYjDQlx2nyqUhP6UExyc0f/30Wf3KYsWIZuX4JR6CRJ85fJNLUygMzY1SLVdwGP/utXTje3kFIWkau1jAUKnyppsTHcywMDBCW6nRk4jjNNjT5IuG1EHadgZSswOLoZsWpRyjkqDq9VGUZ7cosxvkpKOXQqtQolmcJ1J1EhAygoM05yNzSZdSlEl2145gWpgmszlEzWljOzVGLPEysuIBuxUjN3obTfRPzqdOc9hYZqBlpSUsUAgnWhHXIshI5OE3b9CXeAfimLyFKAnIpzGBkjuySHlO7k1XlGhhknq6fIqOEhWAUrdVPOb/ExtYe9LN2+kIrNLjewYk1JQFTBYtKy0S+wppkpzmeoeqvspQPoMsFqNknyKgSgICyYkKZmMXf2Em84KNPaUJAwSx1HITYXAywYNnH/7PByLvOQFNygRnrKo21HoYLduxKBY0KJ8H0JIbiIkLVSFQ/zN7Uu5Gq85SEwxTpYKFPRlqMUbvyHO8svg+hpMcyauO67i0YLzowOyM0Fv1MPPIEzes/wIuhMLIjSEy9iMMnkVpYpCqmOGNcxRirkrFdRVX2MqdO00czJPdRL/+EainF6YZT7JEC1H66whXvAbZu7sU5lWB2boz8koJT3/gWW7t72bt7Nwr167sf+38yN9xwQ25ycnL8l/0erze/3sVQr6JSk3h+Yo2ATf+aEntRUNDmMqIWBdqNekR3N6Knl3ZfB6K7m7pC4NTYGBfu/VumTxzB39VL95a9LF2+gMXtQXipjN9v9NPn7GN7x1sQ5w9dK8R6qX+u5B0gZdfSm9MgPvRhYuEn0F74CY7h3YiR5xnRnqKBMIOZKaYv9tIU6GfE6iZi+BnRhXHMSwEKcpyW9HEG20aoDr+fHd0tDJg82JwKtrU6kH78YZ7Iy9TMj1BUeUiHE/h2DaPvdbE4nuD495YY3t3LXGsHN3QXMBtbeLvPiaa5lednosi1AqmZAsnyCjZLntD5o5BcIZBYxFerEs1PUSw3I8YXUebSBC3z5Mpr6O0GlHkBv28Ed+tWiqkkkXyZePEqpQEzzg2DVBfTJHUlLhnyXPfAPzHVsMB+BWz5/tMM3Xw9DXof80+uEAtuprOQR2My0jB6kHJ9GLE2ygZ7B2PbOtjY6KSotBLOh0iatuJf30RRm+JquspTG/ay48xJLmueY8g1QiGZo01oxPDjb1Dt9pMqpqiUaixNjVMz22jqWod78So3DQ1i2zFIRArSun4D2rlF/ubpI3y9e5iQzY4yl+axnW/GHQ9jiCyTq19rXF6sVvDq29npuJXl3CQFkwEbdeSVOezVKuv7hkgn4hQrJUa861lvup5kJUygYmDE+1Y0jRaWE3OYRAXGeBi9zUna14JRCankIihk2vp3oCrGqE+fIpe4SsHqZFGXwzUYpan/LO6qD2NOh3NLJ/6FGPXQHDadlUq9Qm+fB+fuS1hm6oRDOYxNXRRrZdY1bkaZqpASCrRrujFknGwsu2ltqFNTGnBLVorqNBOGORbFKIqyRCH9PPm+BlY1FfpahzGuKdGKdvLFFHVNFUkLPT1buPlDH0CeEmnLa8lQ4IJ+nFz6HLOaKqqYk95MAcvci7iKq4zoN6Kv2BhUWSiUdYSrVdr1DaRKIlcUK0g6G1r1DJGNORaqIQKpHSQXdHh9BtJJN6LchqlZT0fxCN7gAJ0RNQn02CQllZINe6SE0yoxULbhqlnYFGtisOZnINGCAR3n24Lo4kYq6QZaZRubDSpymiiJ+CkEXSv+yttBrDJs3YliXYVyPUjr/nU0bukhdWGS5m/cT+HJJ9EODKBsbGbxShyzQ4vwOhQY/c/4VTxH++vGG+do/xf49x4afzae4ROrGW7dupV927fTum4Ds+fP8vCX7sPj9+PwNwIgCiItlhbEqafgwfdCwyC4ukEQiRHk8tjHMWVrFHPTXO63QGAjs7Xn2Kf0kopMIZjAoYnQ5FyivXAA9ZUBNC0l0uoXyHvOklO30SSrUE8+zN9d0eELbCNxPsafNHtZ1zrISljmRNRLUO7BH7zIwfkKLqGCd2gAg1VFRZPkuM3KFxUiqcRBvptpZr3FyPJ8jK/95H+wOPd1/H03Uw5myApZSkYdAdkJHhvD9ltIVsMUk1NoS1W8hlZ0mSKdvk0MPX8UdfdOdij34cnaCAV6SWdPk/K4WCyP4XwhRE3cwnRAww9HttDcaKBji4+B9l2k+m2Mt+j57qVL+Kdk9GRZ791BNusgn1eRDmox97ZxSBT4q3YrLS0D3HrLPpKzVfRdGl5cvcJQ/zqSoRA77Wa2ul20qm+jdtub8RRNNIUDPNkcJhqLsDC6n2wxR5PFSyG+QutUmL5nDlJ4/jlOJ9c4/fzPiC8t4tIZcSRnKQ5v4ZTBxobWVsZQcZPVwGgggCVfIJ7P0hJJkpCzxKQ42fgkjYk0q043+niUSinHSjhIpX7NRUlS11lJzRIuzjPQPIJBbKTkqbK0eAnXgc2kZuapFcsoFAq2Z00UDHle9AqI0UaCToGgpsRSdw/2op9a7BLlVhfrKzuYfmyMSHSVdVUdjudeoOgPEFYLbG3ZQVNpJ1MZPdZTEhrKLLmc9NoaWb1ipamsRllzskNykSzpWK3KLKrjnFOO45TNOGo2Aphw4kHjbWVFs8iDLYdY372BgWw/3bkqkQKUc3mcQgC56GLzvm0cP3aZhYsV0jWZlD5HTIghEiBnLKCXdehWI4iqLi77PHTHqiiUZhxKAZOoYL4MM+UZIqnHifgsSKYcbWIDb7/uVuJpE8pVF3ZbgfU5PRnZSk6CXCnMhBikvWgjLAhMJBREjHMMKJwkUyHmS3pCmbOcsq3iks3UqloWxTAbq+3oSzV21FpJ12TCtToKFCzk1NTrCeTKLF5dB7uU3TylP8fUxXtY9+AzLLR3EVvVMfuihrbb9xK44wb027Zy+pHDHP1hBHezBZtH/69NJ/9u3gi0v3zeqDr+X+A1VcL/BnbbTdw/0PqaM7J1g5mCv52ldI62Wg3lS62xKpLEobKW3Qol6pf/TmTZad3B4OAXcBjWg9BIj1nJxVMnGO7eRcOJB/Ehc9G2mYR2FrUlQlj3EK2Bd6OmyqosI2TaUZseYSbnoAcZt2uFB/WzFDQ/4nc9v8Fulw35rk9x+uHHubehA4P8t+woalls3UB3pcLJY0c5cvIInsEm9q0WcPY38cXexmv7SiuH6LvwOMmrJmyf0TNpcDETmSXoUtOi76Nd9rAoRJlpsqFbtuCWHGz3vI1YaQWXupGV7Wa0F7/PlXUCV1u28g8jbg5kdXQFZ+hOldg+Ps6Z9Vq6riiwJNOUNkks/uwgcWWSOd0qydWzvGfqJrb4dnM88lOma0E6NY0o4reicIG+s4GuYyF0jxwhU+7ksYbHCSZkpOknUDudaMMi+8vdXD34PM+7jFjMNv5uOc5bEwKZ8MMsiS6mt7+V0z2N3HzpBKp0GGtXlemZAdJbKoiijVDsPHqDmanTx6k98hid4QR3dwW4c/8H8M/nqD8xx603bELSpSn6BqkWLrFhKkW1VudgcBKpCKV8HF1wBrmcR4ECTbFMWadBo1ISjYWAayZLMxMvoNrr5djhBxEUItozOVRoKLncVJxeJPMQmlCNfdkEy/EXUCk8qJR6KkCP3kmoY4T5sXPEFBuZ783jT4WICG7URiOLGiUlfzuRdJGoMcRUTou8cTMt6iVsR4/hiUTJ3PgRGoVexEISUS3icdaZmZjDv66Isq2HuYPnGFrz0uIfYjorIWuX6Ahr+JjpvWwYeBtHHpmjSyMQKszikibYrnobP9Rf5LngsxwLneFN8ttYKi0R8w5gnRbQlixopDS+BolK/CpPBCo8u3U7G87n0CQmaJM6CZdhxZLhWd032BW3M5oeZUkqc9m4RJeYZ/+6rTxzaYp4UsezzjDFmoPL7sNoqDNUcLNSMrNWk5mzXyTrOIZzcjN91q3YgJPCMGr7D5AWN/Ni/BTZwCK99TspxLycoc6KJYMvbaJLJ5IoJ6ipZGLCFrSGMt/UPYtjdSdbp7pZuMlKZ+8mnv3GJM1LB/Hfdj3m/XuYPXeKUw/9I5tv+zhNffbXccZ6g/9MvKFoX+LlFPG/1Znln/e9BbDZrg2oY8eO4/P5cDqvNYl/Np7hg8sVhkdupr13D88m83zwygIjZiOD5nbyx8+g2XEXJ9VDfIhRtlqb6Jh6CMX238W54zNEQ0epyTF8gX147T70T/4VZtso7VdeJKj7AEONbSSHdzBhW+Gb3MAtA/3cKJlxxV9E7e5iY18fPekS12vSLDbfwcfyGZTT48yeOE5fXx83XHcDhyJBHjQM49eIyIWLWOck4t87jPn9H2Qlb6IxHsDuVxGOr2LOFFHpdbhlOy7ZwpC7g8XSIqqaiFffSry2ikfXzoQmja/oZFTZii42ScB2BSlSpn96jfHWKl/eE2LdaoDeRB39lMToyQliGgWB2GYCLjfnqmXU6SoR2cLwXddxxrTIA8J38W/qIx4/SeWZx5kUn8Sgy7EWm6fgNaC2OdA1ZXF0/JT6RITjwgRNW63kMgEaLh1k2JjE1ppBvZDk+wduYGMoTdOlRzG5dPQPPUM8W2LV4CNuVuCUTORzq3Rt3MpIWw+1i5dov+UO/KFVIk//iI7nnkLoMvOTw4eZDs6SWJ2i7QePUR8bY3DvjZQunKc7FIOBXkxmK9W1CGXttX27uiRh0Gopag04inVmh9eRdVeYzI7TI3WzxXYzy0KclMuOXZKorExjKa5gmZxhxe+j3NBEVavDGc/Qd+EMTYkQxvOzrGjrhJmmeVnLxQYdqqqanFqiZnFQLHXiyqxSFb2Usp04N/TzQ+VDjNgHsYwv8ph7HN/ICPa4krWcgpDSwkHhKe6c6Ec/2k6DxgtFEVWTEV9Sx1LLANuTDWRzKWa5xE6FnxRmolXxmmmFSk9lvAF73oeyFGLSMcX3t4zQGNPgzIKyrqenzYexbsEurtGTkBlIFDmnmsUpmQmm5rkoHONKyxxefRtvE3eRL5gplY3MrqxxIvUzlNUpZMlGoSJTV5ZQiyI6ZRmp0EJGKCHWddhLDYRUSQL5LgJaC1OlOgnHZbpGf8yxaoaU1sCkPkNUH+Gcap62YhulvJoTnmcoKwt01tvpt/TjM3hoFd0462ZWMkEKW2y85Q//lIVLKcLzaYav78B3wzYWr6YI9Dbj7ehkYPfW1/Sifb15Q9H+8nkjdfwLRpbq1BNRekfW0dHZifCS0n25B+3ulm5EWaIxeJjhxl52Oy0UDx8h+Du/g7Z/gI7+HobNBnY3dSIG1sP6uxG1JryNb0YhiLS1fRzB3onCtw7Dxt9D6V+Pf+t7OSoN0dW3h06zi83ubkZL8NAPf4zr6hcZU13F49tNWK+js3UnS2olGzNRCl/7HG2btvJkNE16NYk8NU5Qv8rhegPPT30Jjb2V70VbMI120z1tIu+6TMFg4lI1xarXy+ZiAEV8AbvOj6ZiZq0q0Wfo5YriCqU7XOQuHUd34QiiQknNZMPjmMM58DMKcRNBqUB94AB9DT00zIo0et/EgLafI/4QE20e1vvbyZ99lF5FAwm5A6ctw4737OC5yDn0jz/KhDrPpctPkKoJuLu72PLEaSy6ZtzrelkuFjFLZgIte3ghZKB5m5GMPs69npvpX8zTpv8R9qExLqpibHbsZsOVCyR6d/CVnq1or5TQzRioGdX4syrysct0D6gwufvwN7WhbWlF7XZz4c//G6fqObo29jP47ndjnk/RanLScNMInduux3LgAKLdjtDYyFpzgOnZSTLZDGWrHarXUsE6qU5Gb6bY2IFKLlFPRalcncaaVyGmI4TlGOXIGKIkkbRYMZcTCEvzTLU5GJoMovXaME1NkyvEyCrzOMYnMVYq2G+/Ed1AO1ZMdFa68djqaP0qnDYjw5KA5/xZnjZo6GgWGAk6abQPI4wvYhv5IMdMVxitedHmDDhUAqw8xahhEza5AUtIjVwUkQxK9NocR7Vq/uuIjt6sRG+4Trgjwaq5zIXCApvw0W2wE0mmkPVRhLIXyaamqUlNX9mHd7KAIAPqDIV1q5yNXMWTELi52oNaVuCV7JQqMWaij2POprFW+qmrBC7pVjlsO4mh6MQS82GItBA1pKgbwlS0McraGIa0l3ohiBI3OdsUKXWSU4EnKarzNCR2kKpLLCkrFKNZJgQZx8Q7ae1upnO6nwNSFzVPhm1lL2VHknUb2tk424hZKaJQgFahpFCv4lAYieeO0ji6hVC8yMXHI4ze0Mrw7SMsT6Z58kuX8bRaaVvX9Uqtxn8Uv6qBdnJyUr1169ae3/md34n+Mt/jF8EbgfYXzPz5szx6z1/Tt3EzzkDTK9dfo36nDyI++F4a2zdzSOGhvb0Vw8AAxh3bUSqV1z4nKq95Mr80SKs1gZPLzbS5rChVqmv3lGpwdvL8WJiv3fNd7G0t1PNqfnAiyq2jnbQ1egl5wtQqT/DQooc/jWpIzszy18ki7+5qZUd/L9mhjXxesNCusGEbA6+9woc3jrIzXiaQ07N9aDvrBTeZ8glCw/+IVbeNNWU39/Z20rN2nIRai0M2I8oClkyaM3KQDeohggtz/FA+TXO9lZ6ud6FXmslECwjlTnwnS3giBhK6O+g0CiT0MheFMPH0FJdGunik5yaMUyra9SL9zz9EvsVDZO0guVMnsY/Pk8pK6JbTbJsqonX10aK1Ytz5YTza9QgDbjCqaGjpoJbXET17Ejng5lz+GLfPm+lfO4Z71ywB/wdwD/0GDfUYVtdn4MxVzPUw9rgJj9uLNVpgr2YnFfsldDteZPbkMtGHjpA/f4G1lgGa25pRu11s+N1PUXr8HOpJG9rTRwlUi5j27+fi3/wVyz/7CcdTYSLRNeoGM1ZvE0mHF7FUQKyU0RRK1GQJsZhHyqZRVsrozXqOtK1iSwvkqzkqKhGpXEQs5akm1oh5veSbBtCZjUQjq3QtrVCw6kiIInGDjr5bb6Os1/Lio0+wFl1GKmUoXTmG3xnA+50fo0vVMWz8TfSGKAsTT1APNJNagoQ6QaOxB32sQKPUBwoFk7kYC/plLlvyOGUzStmAWpZRVCRqGYlq6DSDVSu7ogpWFXFezM2iVWnoCPcxZDAyU5mhuaOB3nIDRzzPsug8STkvkE40scmoIZWtQk2FnAnjz7ewWd2NiIBaocKCnkKDgnP5Q7Qn2tAoRjCGzmPKb8Lib8C52sYF33MImjwasYgqr0VW11BmTSw4i7iXzqEsq9AIfXSVWhizXqYtPoyl5OaK+TLmRIFq7nEuWFKMqFtRd1gJjy0gVaZ5Rj6P2mpnNB3gHPPMJUroqkaMooJiJoxOZ2EpdpVZXHjWt3D4zFNsvK4fr9+N1aPH4tLhajbT1Gf/DyuAejW/qoE2Ho+L3/ve9xz/nkD7n62d3huB9heMxe3B09ZBy/B6BEGkVqsxPT2N1Wp9Rd2+bP/4rG0THxxfYsRqpK+/B4UoIlVyxC5/Dp19GIXMNbtGazOPn5vno5kUPTNjtDfamV/6J8ymQQRBje3KGdZ/7W9RDbTzsyOHOR2pMhc7yW079xHwXsfV8wLlp9oQ84v0nFYwqFvktvVDjBnsvMlhZsSkoVH5Ux5KP8NA7xZ2lGVOfu9HzBcqtC+KNLT4YEKD2jxA7kQj69I6etI16vVprspJBBTYUiUeK97PlWoROb9AMC7hiC1hS1aZ0ytYqsCUrc7m7HoqsQi2eh599BIW/3oGCj3YJQNL9RUU5QoNaxUUlRLaSJ2ySiRh2IKlPstiapVYIYsnlSOvVWMYvI5xt55SosT0qhJlq8TTc6eIx+OsrKwQjKxhW/f/svfeYZJc9b33p6o65zzT09OTc9zZ2Zy0UbvSKgtYJMA2SYB9jeH6eTFcrn19ea8NxgZEtgkSkkDSkoRWIK1Wqw1abdSm2d3JOfbMdM656/1jhRBGNu81CCOsz/wxXeecrjr9PNXn1+fU73y/jTwqmNlR14t7ScXcjI+wWE+tupOe7luZySySXuzG7VTR5jmAI9rCaKJA3j/BshCCsJLobJa4fwNmQzknV63Hd/EoJwpFotMjFPN5ymwGirEF+vp/inDmND8ORJiOLGE3NRISU+gbmglby8hEQ5R0RhSxMFIuQ16pQADEfBYkgYLeRC6RRm1bhz4cw5JIYVEoSUklLO4g2YQKsnkMuQIt83m8djOG1c0MLwdQqRUkJQXFaALnqQmKyQDtu3aTn7yKwR/gHBl0qRyZlfuIq4rYZmMkKyspRhrI1znpcTfhX53HtaqWxGwBTV4kGJjFpGuksaqOyqiJXD6HWpQI5tIMqP2cNy2yNmHGVtKhCfpwabysiHkREbiUvszU0hGazZ2o81oalBXsCK4mbWzmi2v0bArl6a4yoJCGWOleTW1MjYTAfHIEo9KGIAiU7Wohr3IzHx7Hq91MyWjA2FPDlfkDiNIQKUlPVUaLuDSIJlWPaCqyoF3FkxtbWJ0yo45m8SobWWtQEc8JOENdCEDJkEGTcaN0WlmXWcFGmolm88yq59imWoMq3sliZwSL1kLvbZvom5wgH4jwhOtZlgsmovEsg7ED6DwecmUhlKu2Y/ctc/pHflwePbZKE9Yy3e8kyMLvd6B95JFH7KdPn9Z9/OMfr9y/f79l37594fPnz2tvueWWhi984QuuAwcOmG666aaYXq+X16xZ03z69GndJz/5SU8gEJAmJydVb3vb2+q/+tWvOh966CHbfffdFywUCnzoQx+q/MQnPuG5//77XZlMRt64ceN/+hL565YMJQjCW4G/BVqBNbIsn39V3SeA9wJF4MOyLD/7m1zrjYSkUFLfu/aV4/Hxcfbv38++fftobm6+Xviy/OPWUokHgK2BU2C5rhQVHPgaVwP/TOcAOLWdrxgftFw4zfsiO2mK38+llJ6Y9SIA9XX/HcuWzSi+/CW069dBSzvJviPsqvgyL15zU6+4Ad+xHuqmDtJnfp5C2SZK02a+ffwE92tdfLO9mtXiZa4Gv85tK/+ITz+joOMeLw23bODMiwcpbl/HEWme9nUeIgUnXkWQy4oR6lwTRDtXwhNnqAw9zkS1Gvp0bPWNYE4XSNe3EJZlkEuE5G7Cin6+vn0L+rOjOKu20lIzjH/GxNqkk5FMkWmhQNiiRZ1QU7RleHJ1J7c/+ygkZqlRHiWnsCLmwtijSajZRUeNneF1KXIvjOOscVBeqCVy4GGM22qIFUUEwGhVc9HVxZTCyPDsAvvi/ZyYTzFXAsWaek4unOQrP32IG0f/mM3v1LE8pWDQ70dQleHyRJiRatli3MLzCi+bzHMsG+/kwRVmtjscPN/RyS0vPIn4zAFys35S7VsYq6vkwq6tfHv97Xzw6FHasz3orXOYVjl59rGHIZFAAHT5HKVsnqJKiSuaxlrWwYAiRKaylgUZfrrldm7PZFBOjWLQ1eK2jOPcNc/koQoy8y6CnioEZyfpoYPMigFARG+vJuebQhuzo1t9O+nln6BWqWm4No5u1724K1yMhQ8ykxtkzqKlpkxLItbLvCnIQyvsfPZymu0BB4fMOtTLp9lo9NDS3IickJBKevL6DMakiIxMoKTEnS6nDA2VZjORKxexVPZQXYRCfBmPqYxYk5uu+T9CnzSTV2cxJ3QErAmsoWU+e6mS9cEi1hYrZVPNMHHdjEAGLNY6hLyAotlMMlhizUgFFs/dNGXUnEl2Mn3lGk0ZFZVFM46SASQjUipG0V6k2bkL69QUqf5R1mddFMy1RErXjYXMGScxdQCLKGNdKCC6JwgowhBZ5LRYZMGtwDDezX7XJaI1SSpPhSjXNzH6rZO4fTJrzVXkF3P4BTPazlqMs9uYV4dY6AvzU6vMnZeOsnt8EmvoTwH372y8+X1nZmZG893vfndiw4YN0zfffHPdww8/bL3//vvLv/CFL8zs3bs38ZGPfKTir/7qryoeeOCBWYBcLidcu3ZtEKCpqant0KFDI7W1tflAICAB3H///Q6z2Vy8du3aYDqdFlavXt1y6623xlpaWnL/mZ/z3+M3fTp/DbgL+JdXFwqC0Aa8HWgHKoDDgiA0ybL8B6Fb+X9LfX09+/bto76+/lfqVKLIjZFz17f8vOVBcjJcKLTTZb0Pe9ufgqiCfY9QqlqHueck9zz19wRzdVw+soe1t7morrq+AiCoVOi3biQYOkFP52baW+t58VoFvY2buDj6Kbb90Z+RH95FjyvLQ/NHeF9oJ+7qPMb++7k2citbV91IdfUH6LH+MYpTT6C6/DhbHM20PjPO1dZl/nu1i7dcmac59jjhJTOhehdazw9YeuFHdAzLRN5XRCkK1Bea8FcqCKW6eLLFy+bpAPq6DO0vfpPJlVk+O2qief/XmLypGl/3FSThHghUo2w+QXGpCIKIOlfQVGhSAAAgAElEQVRD59Aket9LrAvIFE2VtA7No1/9PvqUDzG8aCLpLrA4n0M4FMC6thrP8grKJtRM9+wgXpxAHdGht6a5EDvDO8+EyGmqeN/+h5Deto+aDTfQtgmqurooXOljx/q1rFsbxp/6G5y+P6dYcGJXPU/llkFU55s5RYwHN28nID/BXVdPcmO/nerxK2hDE5SJIkWDiWBDA9WONVxRXUU9Ocr7hCfRjF5mqEHJ2HQjHvU4CAIKp5u03UU6k0RSqyiampF0eTrLbyOjfJSJ+VHqk2nuLNbTPRrAaO5mY9kOTgaeZ/K5BAq/g2whg2NsiBllhGWln7JMDQZtjrBvkmprPap8nJNLT7CYnsQRMlNV1oak2YApJNPbVEXecBOzuQDcoMEWKKJeSKL0RdgAHF2M8El3ltsNfaytqESxIBEvFjEuJBFlmai2xGK4RJNGcd1btuiAsECxfMUrTj4KUxnBfAl9rBpLPkcoMs9R61Hu4p1YdC5emlSzJpNDqjKATcH18MorPgW6vIJAvsj40hl237GPi4kZPhX7B/46+79wGUUGpsIg11Od76QkFbiUm8Od2E7SEUZTlkQzN82WSS85WYfPfolF2cJSRkBXMhK39BMHmosqVhfWcao4xXzWz7HeM+SXirjcE3QvbEOa308yGeK75RPsi9cwoB3hZDzIkuQgYRvAUOPFPNhOqxgl0ZDhliY3jdo7cO9MY75h0+9kXHk9KBQKwuDgoKm1tTWmUCjk38Y5PR5PdsOGDWmAnp6e1Pj4uDoej0t79+5NALz//e8PvvWtb637eft77rkn9PPXq1atSrzjHe+oufvuu8PveMc7wgCHDx82DQ0N6Q4cOGAFiMfj0sDAgOYPNtDKsjwIv2zm/DK3A4/LspwFJgVBGAPWAKd/k+u9UVEoFL+Yyb4W9Tvg9q/DyS9yLKPkfW2f4gHHGipUL+/nbb6J4OXP0p96FJfDxWiiju7yPCs2fRpp/ASl2s0EY2eRSwWu9X+Yzs6v4XTsYOfKuzly8c+Rw08zXZKZOHc7K27YjUejYapviHxXK+r0ZR58oZkVin7E1PeYOROj98H9AAz/9ftR/+3/QrNyHZ85egJPR56S6SiD/Ztp9uwit9BNZdsl1NKtpC8sM1G3klVDD2L4kyw/G1jFhfY9ODhD4epZZtYNURdsof7xBxld1QlLRkI/8fFsXELdexBN0xPYFnox69axlIyTT5xmc343G5y3Ez/3zwx7UpQU38K85SXqXryNslwn09Igo2o1XE5zOn2WveIm1qhqcVQZcVRrmYv0E452E7t4nr/b6uHk+z5O7NhhhjcWaCseZ+ywyLWfTHGhfhyreSVD4VtRiB1860YTH7gWRhCGqFSbGMnOccuQmQMtd9GcGqZz+nli7grq5iawq8rJF0ssZ8cxpc20lpuZHYrS9OwhLLt2sfqD97D0rYcYvHaBTGUDrTNpptOTGLISKZODtFvH3NwEo9kvY9lxFcshL+FSBS2TP8MS9TGvDHNyKcZiahLdooKQPo2AQDafIB65Spmzk41ld3Jy6QkUiSUaB54l0KvDpn0Lxg43Vy+cQtqzF5NuFNMTRyhu7UWfgAH1VfQLEcq+70e99gOUX3qG/KTIuuY9fCwXwVnSoFiQ0W6q4Ko0ywqfkcxojBPtEs/NPMzH1e+iYk6BLAgIFLArrwfMYjaBqNJhU4iEFjIIGpFRpZNQYw9qlZ1cf4gb6wyIoSyCL43/zARaWSReLGGUxFeCrV0pYg+38NJTz7D5HW/hUwt/y6poG8FHhyg0b6LvYpBIrZHIkEB1R5HS/CLauXEWUlqis6eocu9hwTqPZ+M/Uzx5H1LCwha9k5+mPQS18yTyEdRaBVvlBkL6OiwXVuAqKenrOUeLeozBS3GUK97LF1ZXUH0pjWlGYiH4PFL7Ru644w50eRdDxUGkhJWVPR14Kuwc0+iotxkR/rVX7xuIwcFB0xNPPFEPjHd2dv5WzAVUKtUrAVuSJDkSiSj/vfZGo/EVO71HH3105siRI/oDBw6Ye3t72y5cuDAgy7Lwuc99bubuu++O/Tb697vg9co39wBnXnU893LZryAIwn3AfQBVVVWv1eQPH4UKRn4G8y+xVVDwgHyBra3v/qUm9rY/pfNKjkLXJJXSN2lo/wrS3EnY/y6Ct3yMq5Fv0956P50tX0J1pYS8KYegUrFevYXTvifZ0LkB/e4+zv/gGHs//Am62u7C09GJ2ddAMehHjP4NT49vZ5tfi+3m1aT1VowtW7j/1HkOTQf4H9eCaIuNNNd+AIUQY2hsGDG0TJ1bQMxWcSpRyYO2bey5sYp3nXiEtfFp3G2fxRCDZCTNpsQmJF0rs2WH8JZnWFV4J6cWRbpq0/xQrKZrcCvZQIbusZ+h6dmCL2zEFzvMWHiGuSYLS5kiqoWNJI4VKapMEHyBlKQC9OhzKkLaHD+Rz9KMh+7mzTw2OcgNjzxOa2U5hdpWDjes5K8NBj6ZXo99fJpwYDX1+Ta85ZXU5UyonruAyWmmtmOZD05No2MNpWMxntVWslVzFFtWTc3oFDfHO7mYM9BikyiMmOlx3Epy6RnijUXyoVlGTi8jIDPtsmAVBS6eOsF4KoJGhorlJO7yNRR9JxlXhxnvXE39yBXEZJSFhSiOpJlC3EK6qQHmxpl1mIAiC6kxEAQSejW/sKcT0MpFNBVDpKNHkX1XiZq1zKzTo3tblKo+AwptC9oeKwOTtRyte4je9TpW3tpI5NxlviM9TVeiicjWWm70GLFf3sVLG9RYxk/SedxAg7AVgKmpF3kofYSiuJ1rWpmv2lbwicxeSuUFmFMgICPLEj+flUpqAyWrgBiB+gotQjiLpbrIhzpuxjc2iQ0JlV1NMZRFrNBRcW8D/Y9doDjvQ1MsQymqSJdKaESR4chZanKrKSbSqE5fQXnzKhz3tnDq9JMoM14WYyKiICJcK+N47bOsT60i6legszbSoWrgueQE8yc/gHHJRSnVx0U0yKkiHquCVNLIsKpAk0aBXSFyi1KLjMzkyCDi8SF2bf0k6qgJ06UM1skJRnLNKPRmjmpfoHa5l5s3tbPzvSL+uQSeVivHQnHec22KBzpqfsnF641Ga2trDBh/+f/rgtlsLppMpuLBgwcNe/bsSXz729+2r1+/PvFabfv7+9Xbt29Pbt++PXn48GHzxMSEateuXdGvf/3rzltuuSWuVqvlK1euqGtqavImk+n31u/21wZaQRAOA+WvUfVJWZaf/E07IMvyN4BvAKxateq3slTxhmTv56FUQtV6Cze23fErfpWiyoBz1f+kVMqhCJ3AbtsMdmDfI+hynVRc1mIo66G0NMjkRz/KxBe+ws2bVqMVNGxf+VX8dhX50N+yae9tGD1hXO5diKKKnTXbKVXlWPLbiEZzqH0/I3DzGeoLf8PM6ACNV05SGTKxR9vN95NTiOELmG44R+L4GmouyEzL1SyKUeLlPmrmJJ6t3EL16XbM8RSmF8ZYEntQlSkwFiqYbPRSHjmFectLXHm+QMEVpb+wimfb1qEZ8LPDfJpzm1eRsx/BkK5HDGaYSA0TjRQpjysJ1U4yF7FRPzbI+d2bsb90jGblSnxLl9DWNdEse+iSq/nRuWHu7y5n6YMfpWP4IqH5YfSn/l/+Yped+gUFOt0dHBaKZIonaFw0sMPTwVITpHUys+M5hmrmObqii91Te3i21omldIhevslqAZaSf4wUbsJwdgqMVRTlIvrGmyhd+AZisUS31Y7sG2S5p5u+q5foqaqi1etFPTPOSG6JI6p+dFKIBXsZh9rXcvfEMDVyCb/JSH5eQcwIc0o1W/N2lomTNxiRElEMKjWCkEII5shry8gotCh6VBi29rF00UrX0UXmbFZGEm7cL7rJS9cYuXiIdtU8Wzb/b6rj67koBQifXuDh0kHuNb2FW0fXMpopoUnFmV5j4H63gnsUTjynD6CvtOEWPKivani3+TbOaftZITbyD5fS1L14ke+0HuS93s/hnpWuPwCVAUFAsKqQwjkkh5ZiII0MNId05J6YwoLAcKZIvSygABRmDf6JDOppEbvCCxLkKNGf8KEvzeC35mkZE5n74ovYjp3lQknAWdeL78hTGBr3kpmvw2zzoYk5qQ4YQXaRa8sSSep4KnmEhF6NkKxih7EG2VhDdOIYJW8Fg4Yiq8VGxmIFDKIIpQSJzDBNltV0abfjb7HSIJsQAe3SVYYDzzDrrcRbWYdQFJj/scC8K4IoCVw+NE1ZtZGt3Q4e6Khhg0nP4YEltjQ5USneeDNbhUIh/7Zmsv8eDz744OSHPvSh6g9/+MNiVVVV9rHHHpt6rXYf/ehHK6emptSyLAubNm2KrVu3Lr127dr01NSUurOzs1WWZcFms+Wffvrp8de7z78JvzbQyrK88z9w3nnA+6rjypfL3uTfQmeDfQ//SnEpUyB+fA7jDZWIGgWiqMLpeNmUQASab0JXKFEt3YumyQqNNia+8BX+m2jggcGT3Pjku2HfI5itmzFE74WnHqPf9RMk8SvYnLuYGQhR3mShP9jFzTdZmHPoYKqRir17sU2lkCdFrk3ZyO+2sjbzPDOhXiLHK1D5txBsPoEuUEBo24XD/wN2RqIsTzxJfTZLID9NbkCPssxP1uHmktXKN7rKeHt/BTfLkHQvUd7mY8OZKoyXHmTnisNIrXm0k1Y21M4xWKpDO9xMvNSPPiuwUK4l7TAARs6bXDy+YhN/LtrZuFDBM/ZpOuQaquRm/JlZ9i658V0dQhUdx5dNUpZS0KZqQ/WNJ4nMW5hpPIGluMRCLsWiYzteYZq5mcto9XpcS9f4434djXIVVUNXMc/bqC5K2M3v43L2GjVRGxaSZOvrOCUusjIxik3lpFTZRk3ZJpplmYny5xhzSLRWVHDu6PNkPPXUJhSYxSDy3BjmvMiGQBHx4GN4FycRRBmrO0bYZ2KiqZOn199Eh24R28CzTHks131q/QsoZCVFvYg+4wdRzfI4qIXVpC4sYQfaujZSzJYxbevH1XYEp3ENcscQirOPojwRRV6/lomBS6yzr6Wxpo3ZniF8kxGqnrvGu7a/G9newL3NlVz8mQI2ppEXwGKtwEgJY66TtAw96QJZUeQ+3V8THwNZDYJYopgHSRKRw1kEBIqBNAlzkW+pfsBbVLt5vPAUG/K9BCbr0RvV6ApFbIMh1NEMdoVIkgR62YA/B6vMHkq4iayeQLlkRJgRkNd8gLLmWo4tPAPA5hvbmLwSInbhPGuddxKJa5hzDNHY00LJ34r/4DBZr4JKoxeSAiVKRBvb0QfHWKdooF4sB9MSdsnNE2YzVQsWmoCWTC0HqyZ43jmMZaQZaU8dK6Pvo2V+gNbFlXjW2Vi5o53yOg2Hv/VdSqUakn19nDILbKu+gePDQT743Qv88zt7f8km878qzc3NudHR0f6fH3/qU59a+vnrvr6+oX/d/ty5c8OvPj506NBrBtCvfOUr87yBYsrrtXR8AHhUEITPcz0ZqhE49zpd6w+a+PE54kdnATDvrnnNNrJYIOG6jFrcjKhQcfPWDTwQirPV1ArKB6FYYHJskoNXBHav/BNs33wI5XtKDC8f4/hpAeeN5XzrpRMsbWylJbKI+h8eIC51kriqRCHokDxXGS9+G7XzIslxNy0jt3NV3UciO8jVug080aPljkMqqgMyzdkoOk83toCbeUWCfDSHxX0Va8bHX5R+RINCAgH8Qh2pczVsTO5jJHeZ6RduQtTqUaVzTI75UVva2WLoZG7ej8YY4sX0DK6cnXRMQpmP8rFpH/1Lj3ByuYlypxOv3Ehk6SJDjklc8XZuXxJY8lSjlqsZ0f8Ex55bcK3dxPjX/onY5EsUy6yo6iqJaKIMCjJyRRnmQDmm3lXEw3reG1RyUojinjqN0t1KwNzN1EyGlDLLTksPc6EzyA4ISnEuqRbp0KrxL/4UWb8L1VSWXqsKXaWJ5xLz7Cj0sCDGcMQk4kQxta5hdWYLw4rzVOhKGF1z6HaOoDpQpOzF46jzRWxLafyJKRTGKnKOcqR0EiEJqnyUpEaNPZLAVNFDT/5Wzlc/zVL4OPGxDJ0tIvpcD6WFSkKXU2Qj9yEeO0d47VoEQWBFQxOJk2c4i8Dd8iF0xg+RfUcv+t6VtB5/HvMN2xD3tvCIfIyPCQ0gg6LBgn5KQUW+wJQ5QlXTdlxJBU61jADIJRFRvC4hiQAyMiWdAn1E5j2KuzAWlbzNtIvZ8TOs2FVPs1FJUiGhqNRTnLsuSanHQF6IYbu1hbn8DNPnrlJj6sS5u534iXlUFXrOmQf4P31f53++68/Iq7ycbo1yZ+cdhJJK6oObCZ+aQLmoZu8duzkQeBFlf4kxxSCipxV/IMyMcYDttnZqSi4uFqe5rJ/glN7Et3sr2DObYMOgzEnFLHuyO0g4S0wpzNTbyylTDnL5ywcY7CzhoJmaDgdnfvQYI6d/Sl3jWsR/+iGPjMtw35fY0rTlPyTl+iZ/2Aiy/B9frRUE4U7gy4ATiACXZVne/XLdJ4H3AAXgI7IsP/Przrdq1Sr5/Pnzv67ZG5JiIc9U30VqulciKV6VC/CyH+2rTeBfzc9ntIaNFWSnYhSLReaVIRqaGl/RUPYHnufq1T99JQnqlxh+Bva/i8JbHmJcaqC+qor06TPIhTyzf/kxZj70FySrKph+LkzcOoQk5tigOU1t143Exa08efoQPaYsms79+IZrmfKvZ3u2mznfKfSOatLal5i+oYj5QhrH8yUWtyjwF9qpKpQxIwXwqifxrjnJ6LluXEI9jkQHadUpdNktjEQuMNdk4ZsdN3PnkZdoWChQSh9E0FUSqyrDs5xEM3EJdzhCX005eaOVTGUDADvyHaSCY8zNPcfmtVsZHpxHFZjgzMaNGMNtaONT1CtlWizrmLbHWfsXO5g4/gOUX/8bLofcTJXb6JxfRveuVVwNmljKqrDETZSK1aza0EI2PsS4b5zFQgZDqBFbfYyZyBLIUF10oCTFmJRiW64VBQp8wSGy+WXiFMnL7TgYorTUj1jWzibXnQymTzOYGkXOVZFTjRNxt/KdbXv4P5dTWMODzLrOkLi6gDr6i+XGgsFMwtuIT6midnIQdTyKVJIpSWBBT4w0BlsTC04dO9VqAu4l9FXPoLt2FxW+mzidPgVLAUqpDMu6Rao7b6XWnkH82teY2vd2TAUv9ekqzsZ8FBsUjMQGaC2voHh+AN1trayL16M0VbIwMc2CP8GPGq04pl/kpkwbFaIZsaggbE4TTPhpKtb84p57eRkZri8pp0olNJKAgIC23U52IITSayQ/E3/VW663TVpClGwWjJMiAgL2P2pD22YHrns6n5h9EfVFD98dHuHJNRXckxjDdHmQdZ3tXDjyHDmHm6bGZkbHRinXOPGlfEwq+ulI3UlSNUZl2IwhNsucvpqEI0yLdiVFpZ2F4kFGtZM0m27HeybHfOj7iPqbMFpsqGsFtlvMTAwleF51jX1v30dttZdzT/6I1TfdRvrcOS7XCWysvgGl9O/m+bxuCIJwQZblVa8u6+vrm+ru7g78p3TovyB9fX2O7u7umteq+02zjp8Anvg36v4O+Lvf5Px/SEz1XeTA5/6e2/7yf/zSHtuf+9HyajP4VyFqFJh31xDtD/CzQyNUhBZ5QXn9y/7zTGa7bTNtbV9mecmBf3mApqamV4Iw9TvgLQ+ioERzfS0oVBi3bCTX/wx9H3gLn9d+kX+KvhvV+CzWP9EjmlJkpBkmhW/R1NRAaxISx1axaJKZCq1mZ07GPnIJRWMt5XTyUinL1h8e4Wh+mfItPTSvPY7hJTvMlJC9CkKLJhIDNxDOlRPypyk4JqhYNIFwHsXqcdZ7h4kPgn15FPI63Np6ZsUQ6rkJApQQKt1kXh67HHYncwIgy8wmhliOnKdo0HI0E2WxqYxt69ZiD8fQSAWSGElniwgCNLl1jA8M8f2T45gNaymo4siIzO2uprr2WXq0t3FpwEgiX07S1s/w8iLzgevjU3ehmqAQZya8iBiLUDJZKSpCTMsFqpbyBBLPkavsICFF2Ga9ledjB6lLBGmruIMzJheqgSMckUSC8XFmypfxuFpJqepIKvWAwLXCICZpDuWwRFapRylkEGTIG8wYZAXRaIqnb72dG002WvpOUkwlmGnoYd2pI5TsBqLBYZwhNX1mD4G8iRvC70I4PsVQ9yjDmizmaJhA8w42+hdoi9dy2n8K/R23cDmXwxhRIZt8aGavkJK24W3wsjrvRnI2o5zPE/nRg+hWv58l33Hu39rJhSoLb9NvwzuVQwwqkZFxRA3Y0QMgXE+NemWbT9EksejPU6EWCXYVqbZUkXphAYD8TBzRrqEUzIBBgaLJwOLQNRxRD6VoiVhtiYAeLJUaJq8EqGqzoVQoqY118vThy7hNU9w4MEe9WsIP+NJ51Klu5FSB4IyMPtSEtkaP153DotqN+8Uy5iQlEUokRB2qQjXGcBSW4lTbCqwvbeMznnGEGoEDZyP0CDLVDXquZQcpG0hweudOdr11HbrhIvVVVSg0WjbtexcA6p272PrbHCze5A+ON5Whfkf8a7WoV3hZIYr6Ha9ILb4Wx+Ucf65Isr2rjhtWNNHQ2PCKypQgSMzPF/j+93/IwMAAHo/nFSMDRAlCE/CDP75+HUcj+eGnefHpD/KTQDc71uxDlV9DTLmMvuk7NDTeRzw4QFGMEY8soVYfJeMu41iokh+t7KCbBexLJS64rEjFHOeV80wkF9m5tJ56851o4rU0hrczn54naALbsp5IQkFRq4ZCClmtpVpdS94xgLftIonpXmKLZopGGw7qaLC3MWItIOUy5MqrKJhsFEo5xFyWbCyCRVBTDMyTDE8gU0LUqMj4l7FiYcbSQSA7TlIVRCv7CeesZE0J1N/5FBlZizffQiEZJFEIk3O4CWurwadl/OwS3eEokWKOpEUink4jxkI4tTpWRZKEDRoqZAe6UICWK+cxj8Uo5JMkaKVqYpBocZ6Zag8LuSJ+a4oKwxThrJ4rlhhqg4fpMjVGIc2lKiM1obW0+XyoNHEaMwKq2DSa4BJCJknR3YyQSZEwl8hXtDFU10JNJEFHRo0pMol7doZrLV0c2Ho7ZrWBtphIqhAhL+cpZmO4ig4yC3HMKhW1+o34Q/0slNfx0Na1OP0JstkMw6ZFbOV6yk7PkNb1gDeIv2c1VckYV/KjEBOxz44j4iXvrcWwspJYvohh/Bo1ZfV88HIJa4+X/EwcpcdAKZ5HePkPXg62QoGkow91xEG0wsTQcoa6He3obBrONOpp6C5HbVGRHQ6jrDJS8meY70nyIfl/s7FnB0GDwJwry9AzY/iGJ3jp1CxyWomnyYbZqSWtCDK5dIU6jYqAfxmAbVtvYKwYIp1dIF0MojNJ+JKjzEXibG9cSeuCkklpmYhxApVchaJowGKI4Es+x7A1iz80QMkV40ON78HZ00RNeR0b37YTVUAFDZXcfOt2SiOXSX3i4+g6O1HX1r4+A8V/kN9XZaj/Srwpwfh7gChK2Coqf1VcXJR+Sc/436JKp6LbpGNXvZMyl+sXUo5ct9u7WJJY6a1EsHhZu6IdAfkXso+2WvJlXRwrdFJpN3IqMcf+6Ri76nfhdvfwVycPsLV8E4FRHe7SBqynW0l6Z1l6+p3oqjpRNLdSmxDojfZRU/lFRk038amuTir8IYpFPw1VbqTgEi5jD1lfGLXKhRCepcbQRlBIIUUXSFv1WNIiGY0CSyRDJK0kUHChHO4k7R9GnSrRKHpYDl0klZhHikpI6WUU8TBSIk7R2IDBYCMdjCNlQ5QkiQlvE8ZwgKApTdJbxdd6V1M7PUJFJE3YokajTjKliaLY0snlaxeQk2GWUpPIgkxZrQdzSMX2u+8jNZNBObCAz96Fw1qivqMFXyxBUoZoYIYJm8SyFKXYUEZaUc28qY2B8gym0HkoRliwW1BnaylPyVgdPiybjlKRWkFFopFMuhbT9Ela0ksUe9aSzCzSoVtBNqTgmjCNQRBo9ouoY0vEXC7y6UUadJWUnJv5bmcrxnwca3gCTcBHGXqEiIBZSpHRKNkgNFIuGwho9bgUTWyzbWU5OYa97zixnSuIZ4IUJi/RVNCwo9WFmE+zkA9TY1kBDWaiTPOCTsmDjfWYAwpEr4P5xBCTxWm8Ujl62UHRl8aUN+NorWav2Y0wk0C70oWolNC0O8gOh3/pPpWBgP0S/p6voonXEJ+1UlNvxl1t5GdHxvmIvcDqRgfewDDhx7+B5bZ2DBvbsSjMVJesVDnWcu5AELMYIzD+feRwloA7TmC4hLPcTijpo7G5mvFrwwRjYZDBYnJQXVdJUYD4YBghPkNKc30blBoJRdTFaHCaReM8NUUXtnQ56ZKEp7mK3o4SRv8L+LxJPuiPk7rWgdVu5NRzcSSViqvHo2zZsxKnx4TK40HTfl2PXPg90+B9M9D+5/NmoH2DkCuUODq0TKVV9yt2fa9lx/dzDi2Hef/ANA6FkX86OEe310ox4mP//v0sFHXMGs1MpVz86aN9dHrMrMmXs/pkNVWLWvKeJWa1n6GtspOpySVk/Rkq+CGBskl0ygL9y/N8d+owmuIAKzzPojrfjGd2BysTAjvDGnJxHzUXp0jGUizpizznkak5/VNG5Rw+TYEFewo5uYwyGsIzFaRkdjGXvUraXo7Wpybuu4iYT9Gp6aDd1EM6G2JBXkISupFyOXTFDDmtirS3nFJoFjEXAsHIRFU1T+6+l/LAAi1WGzdu3oPt3ItY+s8hJ/xkCCPH4hRNVpyzy6w6dZ58VSO6xTBxUx2tCQeJhm2MX3iBUU0ard5JoNhHyGwmOz9FRlTiKhnxWTTUNDYx2LwWz4UCfuMiSY+HxzfeQNfYKEmnjay7GmMhwo3GTSzMh9H5NKSHLIRiV8gmBugeOEdY1DFl8lCvNdKZquNZ4yzf37oHZyLGFhpQRXu+KQQAACAASURBVFP4CaANRsnGo7giMZriGeqjPgoxDZZigfhb7+CamEFWqjjctgZDeBKnZGLKlEIdTxEP9DOmDpBvWMe5UoCMbwqrsZOUKorVpyHqLBJORvGFwvhSYdJyHmMmyR6XF4PexJfcBnaGLaxPduCUDOTFDApBRcljxLOunsTB6ev36UKA/GwGJIGiP42y2YK2yYJgUKJusqEc1aKN16APdGCTFGjieZQOLY095XQISjZkRIzd9ajrXBi3bKQYzhF5bISJ88eRbBYqGmsYOpNCUpRR1PTirawgt6xHW5nl6UNPsjg2y3xk8foStQCZXIrhoWEuh8+ikzTUlneRX3JhMsqIoSpSc8sEtP2IkpawIkmpGEBpcRKeLBDTmLiWgzv3foDKrjZUHZ1Ye8tx1ZppXlNGWa35FWMAQZJQ19b+3gVZeDPQ/j7wZqB9g3B0aJkPfvcCnR4zdU7D/+/3FYeuEH1qP/c2V7N1dRtbmpzYbVb8ORWP9V/hG5KBW6od3NHoYkuTE41Dh9JtQNvlROOZw5v+GZ36XYjLCxjqnyDq78aW7CRV+xxO1wy1C7Vk5+rRT5uwR+/GLVmpFCT8ZoH2nAeTcwVFey++6lr+YU0johDHnc2gyqdIJeYRFLV4l3LM1awkZk2hjsTQJrPIMRM1kouQsYJozoVOB+fTp0h561BmIgjpEYqlDPq0AnV0CTmbxuwoI6WSMPgXcZTy1I5co+QPMnn+DFUKI8WlObpMDlad6iNa5SZmtBEPLuKsWYOjvYKiy4h/eZhrNdX847oWQso85dEgyWiYRNNq5FKUkjKMaSnFynQdiyUDP3NoOGZzUcpr2B3Msv70MepKi3RcucpMcysORQ67L0eVoZW5+CUSSTWDRg0nVtSQNwg4ZQtko8xXV2AtGyQytAiuAM3hCTpDOtoLXkKqPDM2EWdJQzYTJW+v4E5WsayZI6DOM2wx8mBNF2Pl1dT552nyj3FbhQN5aIrp3g5WWwSetpsRdFpWSG3oozm8so1e01qWBT9jUgCdqCSeTaHN6ylIWQB0mQIrbU6EM0W2p2V2KPQksn4iiRnsKjclZOaSC5R1VqGwachPx0gOHGG6Ro+6rAyFL3X9OasokB+PIhmUlIJZlMlyBFkkLZZIV8s49zYhJYpY9o+RuxpA6TUjGctROPQo7FoUFToyZhN9x0TatpSRVQyzevc2Wtd5WX9TB+V1FtpX1+Cp9LB203qCU35CycgriVclUSRsaqS5wcrb79mHIxKk4lufJ3tDFxlXnrQgI7+8CJRW5zBbCmR8YaJJmZU1dlZuWU8uVoam2Y6kkjA4lJxaOklHfSMKSq8Ye/y6laf/LN5Igdbj8XTee++9oVcrQAF873vfMz/++OPWHTt2vKZ4xe87bwbaNwiVVh2dHjNbmpz/Vwb0VlcZrXYrjT29NJSZkEQBURRpyl3lLZc/QnvHHhpiCXrb61AqFAiigMKuoRjKoEo54ZSR8sadVOtUxBN2LF88QlEnclxtxzzVxVC8mhsKqyHioEZbR6YkIxVKzMen0Fz+CRh02PRO7BOXUUyd5d2qemo1a6gytLJQmCfkUtE00Y8xoSMhafBqXficOuyFNDVlqxmxBPBmBTq1jeRURjqoRo5OksBOQVdCFpsp5mcx5ETCKgXpilpEgxEjAkaVCeJBQCYe81NQSqQiIVJKFUq7g3gkSFXJTrfjFi6Nn6ayuQoBKzfKG5hLDnOqqZ0Vi0mMlnq+vqaLarXId9t20l6YZmtuFeSiuIIqytRZ7p4dxYyNnLuRE8YXWS8bcPUN0HL2Aie9ClLxBfTuGlbrtzOtkfnOul5WBIzs1KwkqI5h3uDHXn6SJatIXccpqlz9+JIaxrJ5lkSRnDJDr6qXolrPqQYXStVhlGNFEG2IqhzbJT29hw+gEQtEdEbuGqnnR+U2HmmqwhdKcKizl0Z/mHZ/ljZ9F05NJVdLfkbVPgBUEQtpZZyCIktDyYZCVhBVFgglEqRbGqifWSCZjHJEeQ2Xzk4krieljnBYdQXRqqGqohLRqGQmLXJEvkZsXKZWMlx3w4nmEG1qCrOJV6SLAZSygCoKc/FZKtY3o/QY0XY5QYbQo0OoPAaUZXqUNi12wULFijLmfC9xdrAPp01k5ZaVSAoRa5kOSSFhsViYmJzk6kg/6XT6ZZUsmHN5eaall5ngYeptatIekadSCaKFIulsimIxjyi8HCQFgXg2STE3SsaewXvoKeIlAfEF+Xp/nDpOzJ/go0c/SpujjZrlkesJiy/nOPw+8kYKtJ///OfL7rvvvsC/DrRdXV3ZN2qQhdfRvedNfruoFOKv3eT+WtuEXu0WlCuUeGHEf12ZpmkXyn3foTWq48D9f4/y5YxnOZMh9uMXiV9VY7u3Fe/ut5LKPoz57D9hXvc5yj/9aaTQBM6rKyhSwimEqChZmVAZGTVfpDHWzbQyxFn1JKr2dTQoG0GWMZR3syWcQZP3Egr280NPilrnKJuj1bgW5znbYqVH/X4atBIuaYoysxlJ1tNdqKHN4gEEGoU6yMNFfQPFUp60y4wi2IgUE0kKL5GXro/ia71e+id93KTcwUVthoX0OI4YxNR5onotwbJy0hU12CIZFoJ5HpYmURbO4zNqEKaHiDaJVEeL3NaX495YA34pxu7+s+wejmBoSVNVqOaaY4aKokBnuJyduiJPLp4m6akFGTZOKtCf6sP9zncyH8lRVYqTyw/zksFAd0yga2iY93iylEa1RFNjxK17cJ0Zo+D2YpHiyHI/szNthENuZDEJmiQFUeAn9iDKuq0crFPTKh/nVqETTaCLhWyIigET/YKBZ/QOjrRupCYcoTY4xI39c7x9ycbm9DI3h1vQ6CXm0nFeLJNom0nTba5kNqyiFE7htbTQqFEwEjnHslOHWNBwRa/jUIXEjRE/NQUHWwLtdKxsJbKwjHreTqehmkdHxlGciGOzWakoWeidzJMpmwfKeCXaaX4x2xNUInKuBMjMJUbwXm4i1RjC0OsCQC6UsL+z9brICpAZCRN+dIjyd7biufFGoES53UYuk2V+JE5Vmw1JITI+Ps4PfvAD/vW2xIrlWW7WSrinTYSqQ3TpN2DOduNttBCO+AmEl693UwaKIkglGru3MOuaZ3/BTyR2mP9nVw2uegPHZo+xpmwNX9j2BTZWbCRXLHHs9u+ztXYjv7oB703+PWKxmHjbbbfV+Xw+ValUEj72sY8tAHz2s591Pfvss+ZCoSDs379/oqenJ/OlL33Jfv78ef3DDz88c/fdd9eo1erSlStX9IlEQvr0pz89e88997zuilWvF288jbD/4vx8m9BU38XXrH9hxM9/e/gs5773JHIJaL6JmpVruO0v/wc13SsBSB4/TvyKhLYjSdR2jsHwv3Al8i0u1tzF/tMTzNfUor7lPkoeA5gkqkoOFEhUVA7Bmq+TdFyjKq9nU7YO27FHKUVHrqsVyDJ6pRkQ6G9bwQM3bMO/RYO/KggC5E0xjFOHiZaCLOobCIoyQSHGFcU0fiFGopgnpAqhk2CdrhI5coJFZQOCYpxc4SrarIw2EqW6/zLTzzxJaaafFyMH8aWniGmTCPoSOZUCc6ZA9cQ0ZcEkYYsOX5OXr23vJlG+gx+HDhIxSswn/EiyTHlskbOWcVRJJe/1OWgcvMq2YJzZ5AJHln7A0Ys/5sWlH4NHwdretRjCTSiDc5j/ZC+6HTuIKcvJC63MafWo1Guwu2UGki9hHD3Igu/LtNcuY/Z0sUavJK+y85CyjEtRHYMDW5md6UaWf/5bV2DOVsb3e9bxvVo1a/tO4DljRxfoYDkrUy47OOVQ0WbYyV8GOvnspRS1sZdY1sVZNx4jGszhnV5iPjZCuFBissrKl9aVEW2sx5uux52UKDOEiAVPM5AMsexexw35LrpUjXhDS3y0b4HqootvdNVyySSRfSmI1eRCQiBJI8+2r+Hgylr0yyIRawlVdTWrpRXXu265/hlmqkMkzEEA5NzLsowIVJRVAgKpgeVX7lNBIaJtsyO8LFOoabK+EnhVag1VFW6e+dI/cv6nL3DwX64yM3Dd0KW+vp63vvWt3HLLLdhsNlasuN4HSZa5u8yBUhYwZ8xcGj5BxjCPPzJPILKMw3b9B6xa0oNYQpW2071qG39284dpbXwvN4z/EUvFEqeWT/PRox/l3NI5tnq3opSUHItleE/YzrFY5rfyHf6vxI9//GNTeXl5fnh4eGB0dLT/rrvuigE4HI7CwMDA4Hve8x7/Zz7zmdecXczOzqr7+voGn3rqqdGPfOQj1alU6ndj7vs68ObS8RuMf3Ob0MtUWnX0+gax/+PfoGnvQF1b+ysZzycSKg4PnELYKOD3fYxM/gr2ib3oH/NzrGKEqjU9KJ/NIY5HkWutJBWjpAZHMSk60IRVaKdryHpNlCXsJCu8GM0tpHURjgSfJ6ZYZj4foGrsLO7Bk+gjEWbzrSzXrEVZ0tFVuYcLLit/1aMjkR6hLSrQ9P+x997Rcdzn2fY1s713LMruoix6JUiwggQpkVSxaFsSVWxHkYvcos9x3I6/OO8bpbx5c9xlpzjFluNYiZtkNUuyRFHspNgbQPTeyxbsYnuZ+f4ASYmW5DifFFuScfEcApjZMljM7jNP+d237EGbSNGnCnFKM4BTNrNkSTBTvpmH2yowZsM4A5NI0nJfMe9wsKjTI6h0BErc6BMx/FNKJgotGDMZYkqBjEpJOhXFKdtQTpzFvTCBe7KbG6ZriKsKyTitOCQjSSGDd6qbnuBL1JgtKM88h7HnNKZN63HWVBGcDGCb6CVqsnJ6fR2jI09SFghROBzhYvcFOkPDuPUK9DNpyFViHJ5kje06TjhmiIkaImobne4RFP3z/NMqNweq69Fol/Alp8lGdciiEkGQcDgn8Gbm2D5Xhzoyj2G2H0HRREPWiShEebJI4q9XWfEv5amKyZQmZHxCIS7ZQkHfCaYtUYYdCSpVZRQJJoqTErVRiY2BPGZZRNJlOW2cwasq5FC5yE/WNNGWVLMhrEOXyrApWUREJ+BfCHB7wEIsC6rQ8utdkpBJKWT+s1BJXSSPIRzikHIIs6zDIZkgvVwBTE0uYEu5yIs5RMSrKlH9pSF6s4OkbjBR5ih7zfNaEAVULj1IMqneEPYaH4WVVdRtXo+73Hp1IEkURVwuF8XFxaxfv57KykoKCwtpaGigbU0boijy0rGXCAaXA34qtRwcSz1VbN3WTi4jEAjNklclqWkoo6+3j+HOPpQNKe68aRcVtnLqnfW0F7ejuPx+8WrVtJj0bLObXnMY8a3Am1U6lqS0MDf3rEWvL8sIwhsveIqiKP/t3/5t8eDgoEqpVMrNzc3pb37zm+4HH3xw0mazSZlMRnjiiSds9913X/DEiRP66elp9W233Rb52c9+Zr3pppsimzZtSrrd7vxPf/pTa2tra9zr9ebe8EH9D7FSOn4H8aum8r+KWinS/v5biHmtqDdufE2B8y2NHmT1btorLSwGLSyMLVG6ZiP50l7urBRo924h1RRmsSeEo8WNbd7F3FPPkE3OY6p5F7r2HFZ/FdHHRxiMXsJYbGM+KjPm1hMqcmOfmUUx3M+Nc1HCvvdyYClMIqEiUKBnb/AIm2fNfJk1eEMFeAQzA9IUeb2O1VIRRRkLJZKdgbHT3GnzUphfIjwxjkiOLDIZs5aYuxSQESZn0U0MkUksMewrIllSCBODKGJRYg4XIBMJdeHVFKOYNSBLErHMFLImARhwjY3hWBpAiBmpKHLTn5/DUreeeKif4Zf2o/aUk/T4WciJnBY07InaucG9FmVomHPT/UhWIwIC08UeVNOdbCzycTZrIifILGkKyNpaUJWo+G75RjY4z3HS7aV2cYTj7rWsdR3EOR9kXi7CW3YRr7cLATg1bmVP6fuRanwIyISGQmwcD7PPokHGzVPmbraeixMM9xJc00pTiYf0RAO24mIWkyrcuUUysha1wkxH4MpnkoAiY2WzUEOxysWxVA8PHBuhI+FEEGUaFdU8bYnwNy0l3Nh9illRYsBtZXtYRK1XoYpnub8/S2tYZmMgTyKaocVWSqnkQkZGQCBjkihYKgIBlPJyS0NC5qjxApuHVhFaXUBd6Uay+SxHp4/SXtyOUlaQ6g+jrbZdzWxT/WGCD3dj2ualYvtaBKWIr17FaOeygEhZkxPFK85lpVJJfX391Z87OjooLCxkfHyc48ePs2HDBmKhDF19Z0kmY4xODeIrqWB8epi5+TmOHj2Kt8XLP0T+gTXBBrZ5t7HNu+3a95Qovq0def47zM8/b+7u+YIfGCosfM8bLtU2Nzenz5492/3zn//c8ud//ucle/fujQJotVoZlk0Mcrnca169/Kr96mvYsb5tWAm070AEtRrT9dext3vuNQXOVVKO9bPdaCrbKSy6mcKi5e3ZfCFMHwXA2OxEqVWgrbaR7G5Bv+GTiMYBYi/+C+YdHyM4O4lChqKKKp7yibyn00zOUciTVev5wOAvyNpMdLnNbE2sxR4Z5nH1AMaciSlnlsWiJP65bhIJF/26IU4ZZpCByjk9lbq1KNQiTn0jKhl0i5OMWTVoYirS6hS1w4vEzU7mF2NoY3EM8SUiRj0yCRxLITLxJbTOQhZcJYBMc3EBPrGS6YMvgQCKeAKsVmz5CFPpMQyymrg9Q8ZWSNog01LXTmrSiCHczWI4BEY75nQab2ieWw4+SVsgwQ7Tuwjq7RxLnlvWUl6apNiqIjb7HKvdN/FSbp6TNRXsaVhHy0QfMgKGUJY75zspWFTT1yEw27+DGYuJCs3z+HyXWBxbzZKQptX3FJ+YhoFoBeNFFn7kryWcGuT2IXBoMnx0NMbpyCDWkjKGJqHEpMdWsoYF8yILuSBeyU8WmResKZoWJApVBgTA6QJNyM2RSiVPVLbTfi6JEM8ySYhirNwQsZA50UVz3MmE3c1ftRrQXYizbX5ZkCJnUeKfTKNSi/ToFfQox3DIRqaUC6zP1HJq6QDrJ52oirygcUBORtQoKLq1Ge15B46zIfINMU6YOvns/s/y4HUPsn6pieB/9OC4p+6qzKKmwoK23sHSgQlUxUb0TU7Gu0M8/90uAG7+ZDPlzc5rAvYrZQ+vBN7q6mrKy8vx+/1IeRnxMZGugbN0dHTQ3t7O6OgoZWVleL1eSstLqZiroL24/bfx9nxLU1BwYxQYuvz1DTM6OqoqKCjI3X///SGbzZZ/6KGHnL/pfR977DHbpz71qWBvb69mYmJC09LS8rat3a8E2ncwHdWu1xQ4jx05yuSnP43n7/4OY8fWq1nF0ZmjVz8E24vbOWHqpF1oR1fvwvGHSpTeVkJFMrq1q7EcPMyY0MfzJh0PFXgZMZ6i6VwPXwiLpJM2+itqKbt0iQXlIC57Da2izHnlJL6kBe0TP8H7t3/NoQPDNApVpHIq5iMDJIQ44bkjaA0lWO3lnFZMMr/gwOjxMmbsxLekY8KlJW5dotldhGp6FDFoJKgxkPJUUJVJYRudITkxR3q9hvJ17UypjCz8+BFk5bJpyJynhFSJn9zcOXTIxDVgsRQSnj2HPV+FYfoYhqmLiAYFMa0G7cQgiyI0pcO4hkdJyrAQPUhmg0hZZ5pgcAjZ3YyBIDM9l9CFJeIVq7hn1oY1eRx9ch53dBFvaJ6aZBWP12i5ruc0w2orp1oruXdskKwcY1XGgnhChWZTAZvKHyemuo191rtpnBvnXQs6ZixuDrrVNPb6WePzUmksYNg4iKs8xiV1GndjE8YnLhGyJ7hkNPNAq4W/ODXHTWEZBDAoYGloL0WqNXxlSWBNMM8P7HGkRBfXJeYo0bSyO68lJzkJh4d54JCB9owSWbYBMtHkDCUqO1EhScvaenxBM5nJJfqEObQ2I+vC2xDd08iCFbLLg0pCOk/ZswpSi0GMWz1oq220C+1Xzy+lrMD+/lrkbJ5EZwBdnZ3UwCKpS8s9/byc48DEATbUbOTGjzUC4Ku3A3Bw8iCfP/B5vrHtG+wofbXBmFKpvCpRihLec+dNNAxVUV5WwVRfhMr6KhRK8eptfjWL/X1FFDXym5HJXuHMmTO6L33pSx5RFFEqlfJ3vvOdsfe///3+3+S+JSUlmZaWlrpYLKb41re+NabX69+2NqorgfYdzOtNMRs3t1P04LcJmGrI7R0jfnASfUuejbva+BfPg1R2ejmaOcpnj36W++rv40Pau9BW2Tjy/DOcfeEXyFIO+dvf4dGtN2KcGGKLIPL4hnXETbD19EXMzs0Mz4UIiBkG0t04qcI1GaDG4Wad1s/IB3cyODPKJd0ci7kY48o4DrWVkCmF3V7E4dgAumSacdscUaeDsslKyuPNSJxCRiA4N0swF8V3cZ4RbxVNo8P0oCBTa0Vvr+d0sUTC7ODp+RC/bKxlV4OH2kETcm4QRSyBKW2iqd9AutlCdyyGejKA21VDOF5O3jxMKOND4fQsezvmg4SqahlIX6SMPD61h6LibZw+/m8Mp/PIokQueBF1zMRFnxtbvpdxk5ZYJEVN70HsWQcGn4ess4gnPXC0rIyqGRVDhSUgyEylK/lP8UY+U/k13KE0nVMNNCztYGe4lXFVgMMFPtJTSW4J5NGdD5Nc0IE+wiO6Qf5uQwvpzgWi0XN0dIvU6JyQhFULk3wFLxsX9SRyUfLhUcw0E1rXyqFEJzvTrZxxOPneqiK+cGEd1XolmbCag2aRktQ8ncoRdmSbUMq2y2eMjLikZVwXoiRvR3EuhH1dBfHxaVpyZVxIDOMU9fhUXgRhkbSsRy0pSQpxNEEDv9QdoEHRzsyzh7l5x27ai9uvZqMIEPrJsjOa4w/rrw4wG7d6OGHs4gv7v8DXt36dHa2vDqZXSomvl92+kiuBd+RigOf+pZObPtFEefNvnFyt8P+T3bt3R3fv3t39ym1TU1OdV77v6OhIXLHG+/SnPx0Eglf27dy5c+lHP/rR+G/tYP8HWQm072AyksSB0BLb7CbU4rUD5tNz0PuLftYaFGjK8sz938/g5lsUX1AQl6dpooSPNH2Ei0ePE55uZvF6PYfOXaA6AX2eGro/9WX+ze/mvXt+xJqze3FF/KDKUVqoR5nqYyKnRDLcSKpSwZOh8/gnLyIoSjlbegZj01EOTXyAatmMei5CiSpOJixiK9XTpZ0Eq4YCCfKGYh5Z08Z9Z09h6OlHn1DgNJWhCIwQBQ5uv4sfbNvG/YcPo5o8h39uDYUt5XhmH2M4GqZYUHDDpZPsHAmSjOWYtBejL/JyvsiEua0J37mDJDdtYIYhVKkscu6XBLV1aH0fZ51RTU4U+Dd9luqJvbTaDEjzY4wWiByZfwKzRUFt1siEXqBk0c364lspCD/PZDaJLZskZNVSpGtD6Bpm/UKI2ZCVpvACBboirr8Q4bRtgJTWQeOFY2hyC1RJReij4/jEekrniviZfoTD1gJ2dHaiuXiCkG4V4YWjbFv3AdwjPrKzx7n1+Z9Sq3TgvXMXgacPspjLY1UWYHZAm5BABaiUZhYsevBJ+Nw12OYFXONmCpeyfPU8bAxokWWBl1wKvrhKz70TFm7sb6JEsi9Pkl8OZkldihdVnWynCV/eSXwghIhIs1SOK2OmRLYjIiDLNtTychatxUS2RqClpIPiF5V4KOVp4RHcq8qvVk7WyY0gczXjzeazTL8rz6r1xTA79KplPFfY6tnKNzu+iTvh5vDEYT5/6PM8eN2D/2Vm6qu3c9Mnmq5mxius8NtgZer4HcyLwSgf6RqlxaTHr9de3R47eIjI//4crjtvoOjGRizbKtA1NWDevpFQepa+S8eQjXP4fe2UVFdx2m5k3Zo6xhU29OvX8lm1FV+vzLsO/4Lrzh6k7NbtLOXT/KBtHfmhLiJ5FfGCHAqTyIIcJqlOEnGamHZpWBD0nBdaecx3CzExQ+FSlCJTBWmTgnldBFtSoFLwognoqU2U0p6Akvkw004lNkxc73gvgpRGrd3ILZoG3Bf3UKYKMG0rRCea6E90c8ySpXkhj9dYjXd2jrAocs6j5uHbP4Q2nuHFxlYqFpzorEry+Qx2lYZkZIDiuI4N2nqkwefI+JK81OblwWorRXo/c+lLeBpqCU7PE8OHyWljcHaUamsL5nMHkRwqvLUb8crNBOe6kDQZ+itqiZgt6AwedIpNrDV42RIWKVaZMUQuYRo6h0VUs1nZjFobRdq0B2W0lNmpGeKzZ6iKmfjMYimz8iynshdJesoxijoikz00WDZgzk2zYVMjM0enKI3XohWNBHMSesyYygvIL2QQpCh6VRGaiMihbJa/bHBRF5GpiOfxxfKIuj4OFxXQNichCAI/LDOxIaKhPHHZXFZYNgowSlqcspkSyc6UMI81pQUZFAhYZD2i8LKpgCQIl9URBVw31GCLGsiMRTlqPIftunK2+rZenezVOA2oPSaM6woRlCKHZ47wqfOfpaGggS0lW2hwLn9ViAryuSwj505jKXCjVKrIzGV45GePsLZ6LVtqtlwzKfx6iKKAza1H/G8IwrwdeDsJVvwm3H333Yutra1vq57sytTx7yGSlKFROs336lexzW66Zp9xczu+bz+4LI6uXl6Cb7r+OgB8u9YRD/Uw8+Of8tLUFLrN1/GgqKDn6CUe1at5MF/Id2uclGkiLP5gAfPiEl7fGtbe24H75Bl0BW56lmKASEKMo9MbSCbixAzLz6NKuIhMd9MiXeBcWTNFU8NEsuOgBK/k5ohHoCSrRZSjmKcuUKNt5XByHPQgWyWOzjyOygHepILAhf3kTSFsp2ao9VVwsR5G/W72NNwEz/2EG2fnCMtu6owVFAT6qbgwg2Y+xirjLLZkF8OGHNsyrUSKMoSmB6gv2onaXkOu0EraamZu78OUbr2NH1aU8Oep3ZRnAwyLvVS0OBg48yJudwWDsfX4jF3MJxdxzhroD+8n7gjSi5sn/eu5N3OeTclyxsURehdDCICqxEBn1nd6mQAAIABJREFUYIx4fTlV588xM3WEXKgOxUI7qbDMUXcSt1BKy8hFVG4PE/pRlPoC0kA2mMJcXE4mlUZXukjkhI7x4ARjuXP4HX4S4xP0mdKsa70NFQKywsySPocxoWRLoJOvHU+wIbYGBBGVdpwjikG+WLuOr6aSfPDwCepUreQEBVmDAmU8D7KMLAggpK9OGXtxX3bpuXJGXe7JqiXIKFAA8uUacFe4m5aO9ciCTFGFRFuqHqWsuJp55nMSszkZH6AA2otf7uGqFKprMtRftZr0+/3cfffd+P1+GpQNb/ZbaIUV3jRWBCveoQRDh+m9dD9rxPOvKhunJJEXE15Skkg2n+XAxAGy+SywvHyo4Z57qb/5JjYdOcoHcgn+Upb5xPEU3wqraDswx6awxJGx0xyJzpHYvZvuWCn5VB7v5EVKxp5ezoIyegASiRiCQyAq5FCkbGT0YarzJtomxrjx0kkU+X6KNAa2u2oQ6jewp3E9A0YLl9QLPOoXOag8wZBj+YPcam5jNisyNjlEt3OO8exZShx+bPEUqoUpGtMJKvovcMOlE9THEowLLawq8FOjU6MpULAUOUVAM4+q6xBVEQvbM02EchJnI/2UGBr5vtvMTDaBPldKSdhOpnIbowXFfHA4yY1TevRzXow7Pox95hJ5QeSYTk1N5QQb/+Q+yksrOTb3BJ2Rs0jDQbadPsn9J/bzp/fcTkQzSYXeT611LYH0JKNzp7GqC7g+04jKVMpUahg7IeYHluhz6fjF1vcwLyjoV83yL+rTmLI6SgJ5fHNxDIsJDkvddLv3IjX8gmP6f0fODiP4XajcFir8N9NWfj26mGk5/MkwNXWWGXcSQa5lzb4zJBxTaOqS9N7loKNxC1/tCrIhkEWMzaHSyPxZi46jBepl33ZBIKIKIAenl71mAYmXlfMEAGHZJE/OiKDMIwOyLDPty/H/jH2Bl0InsN1UwfpcE4s/6ifV/7Ljz2hngF/+80VGOwPkcxKTlyJsKepAlBWMXFzedoWSxibK730PJY1NwHLftdpfRbY/gpy7Rs1vhRXeUqxktO9QHPYtNDV9B4d9y6v2Pb93lPGnx3gesLZMXu2XXckeBLWagVtb+HH43/nDahUf87WSKg5TU2EhXR9hv1nmL92VPPCee8iqGjm3Z5LO4bNMxWaxS8uZhaxJoFBoyOVTyEEZs6wir122NYtnBbSizEYhy4xchuVMPxfMIZb0s/yxv5R1AYmjRc38uN7HQvcJRCxUjStp2L4BXTLDsZEI9I7ikP2Mx+3kGlaDzkZmpI8Jb5jrEw687R/h3MkBVEUyizkZu9oIASgQ7VRajZQmK8jIi2i8JtJDWjL1O3i0VU/buQTlwXkmkJBjw3zxgoOOoR6mA7C3aS3fLffyTx3/C8tjz/Hk2vWs+u6DuCNrKM6vZkg4jyTIxFQiBfk8H6z08tS//COphUWsidPkBZHZ5AgZhYm410jcbKAl1oRZLqfGsBqjykaD5GDq0klcSAw0b2BPw3o+vB8+oW1DQGAiPsaWbDFjeQcFJ5I41DXUFDZADKbjQXTCPLpYAcnBCC+5VGwI5Ki1tKF0ZEmUFdFp2sU3TN/m/eaP07vvEH869WG2yBBITeGsupHaOT1fmUyyMZgn7JJIKCKUzDlJL3ahcpYjyyIKFJeD+HK2KwBpvcRp4SLlTY0UHReRBQmDIPC1zV+/umzmlepPr8VI1wJP/eAAZatcuE0lXNw3fc3Q0vH5k/zV/D9gnfdfPVdT/eFXLRFaYYW3Gis92ncogqDAoK9AEF7dsyr1mQko4cYdZZRZvdQ761lbuJH9c2Fcx4+iKSnBYy/HVt1Iu3cLCqUSlUtPTsjzUuY0tp4Y4e7T3FbWwKqdDUQWkiz05PA3Oygjw1g+T01FA4vTKSRlCiEaRjToyOVyiKKIUlSDIFBUUEYoEiBgtpJwiOT1ScSpCwybEjhyMzRkzcjBAE+t3sg6bRqvMY1/wEYmMYw2GUWRDBPUhMgU+fHb16KWDZhzdsyOVi4MT9BdnqB2TkHXzCH0+x5Hq/eRjK0hEAphJIRNWYIppsGj9OBJQklkCf9imP3qTsqlAvKBaaxT3Syoo5SPDyPrZrhgOcIHB3zUzRXS1uiiNhDjYP9+lhYDuIZOMWc1YtcZSWmUzOsGGUhZWDJoWbBo0WSmKByfI6/XM1Dg4d/bWnFlUyScL6GI6Lg4vQcpFUY9148yGsISDWOXclQvLiLo4iwEhqkwN3LALvN/VjupDRYzHB8gkjQwpx7mhGoUk15EnxM5vHiSP7u+gepIlvHIHubrPEy/kGRuUccqfSuccbGaQtx5M2pXHpXPhhgWmAymqbLr0MUyPKPZi5TM480WovL6IKN4hcE7SIJwtSSmqbBSPGujoLSY/EQcAQFtRKTUUoq+ajkAXlF/El7RH7W4dBSUmiltdLCwOMm5oYPMhccI9MlUN5fScr3nqkBFibHkVapNSpsWdYlxWfTiHdZ3/e/wTuvRvh35dT3aldLx7yE6rZJbd1Wi0yqv9sGORlLc1zvJMxf1pA4fQpTBO69DlCGZyfGvx0f52P5TfPbFPyPqj/EnVatQTQSJH9jPjj+o5JZPrmZ7oZns/gMIgKDKk9WGcVoLkM02pDwoFMsFFJ0oUlvWyGD/OMiQ18mMOgqRExm0ZivKwAxzGYFAMMyHE03cNjnOTQ/+DRWxJS6Zj6DP5hhsXs1LN32QpLuaoFXNAXUPKaebmQITswsx+r1Z9jSs4ylrhukCE7Ebb2GgUIndM49LkUU2OZGEy4O1CKhk2DCnQCg2sGv1DXglJ4ZUgtlMEjEuY1r7MeRkln+Kvgv7sMhMtIf68QlcuVW49WXYRw9Qc8fdtO26nXmFgqXNLqxtZyi3HcIuZUCA89Y4oy4LQYuVwlyG+y4OYlI8T139QRSF0zj1JczGJlDGw6hji9hDIVYPjRHSQm82QefiSZ6PPk3z0igf2b+fjkuDbM80sV6rZ12ugbVJO1WLtXRFrdjGU3z0sZ8TmHyWAbOKRF8UtzmETh9iPtmNuWiS88IgI4YFckEVyiHIFUGVRqTAFsKgeIw7wjvZFG9BtOcgfvmCTb38kaFw6njlJVyuL8JQSiLeHUJC4rjuIsFVeUxbPb/2XFQoRcqbl9WeqqqruOOOO+hYdxPrO5oZPjfPVP/ir73/r2omr/DWIRAIKL785S+7/utb/tc8/fTTpuuuu67yzXis3wUrZ+cKAGyzm3io1sMtzQm0WzquMS945OIMD8TDPCfqWO39BlvKtqAKJjj8kkDX33yP5PGXKK4xcYY8qz73Oe66fTfbKtfhtLlJnp9HEQ1d81zJXI7e0S5kdRxZkJlwuNnTsJ6w3kRUrUMyFjOj1vBoWwMPusZ4ylPKgVWrGR2/yKlMBouvg4ixkZ+0tTJduBlDcnntZGJpGs9iEatLW7h3zsUXLszQcamPm8vLyOatgEA8O8OScpQX1Z1MicvHFUhNIykzJNSLHJw/TiKc5GQsQ7qkFLXpVjz1N2De7WftJ++m+Q92sujOcia4h5nBC4RP/yvDm6to/JsvU/LHn6Kw8jpE9RqyQzoCAS/FjVPEdc/iFBa4o2YdjXfcQ85VjIiEe76faNBNd3cHh5ZyTCnCyCoHWhpQ5tWkcwmU87PYkgJBZRy5tImpAgPKfAH3ZVsZtwmU5O0YciaUKPFF3JxO5Flyx5jyXo9JqCdi0VCmrmBuQuZFdSeuUgM7Ms00G0uoidcjltVguquSgfopTl14EgmJZI8Wsf7d6DcULV80hYYAGbQiZCQEo5J8IInSY1h+3Z15JCR8JhDDGQDWJ5spq69lrH/xmj7rr0OpVNLQ2MD1t2xgw3uruPmTzdcswzk6vSyocvSyetkKb22CwaDioYceKvjV7dls9ndxOL9TVgLt7ykZSWJPIEJGWv4QVIsiNxa7sOy8AUGrpaxl9VXHnzubi/hrg417NEa+2b4GlUJF9e2b2Nou0Pi/P4pxcztHjx7l8NGjXFQqyM2nOfzkPgLhOeIlafJmO5V+P1V+Py64ujYTQBJEJGBH9ynssgIxYyCvhfIZPVs791Pee4B7xo6Tz4QZ0hchIDJtl/EPG9jd3Uf5QgIxvSw0o3QYqWpvJ3H9EjZ/FfbJBJdKFcgDF2g8fITrsvW4y/0UOevwLdWiU9r4uTuBUV+ImFfj0bnZnm3CGsoTWXyWUTGEy5SgLGxmcSFLWes6pobjHOqXaL/uk/hjqzn2od38k38z55rbSCNx7ORPSbgiOAvmcDknUYyvRXOxmPpnT+L++o/xTud577vfTYXHww55HUUxDaGgl9Kcm9K0A6QZUsI0OUUGUXRg09jIz0gUJAUkaTmIzQtRJhQBLhoCDAsB8nKO/vwgE4Zh5vXjjOXOktUs4swPUBtWsy3qo95rQpAhMJ7AVWIlc/AQbUo3+8YjPDfXyfdn9mJub2ZSEUIs0RPrVCMtZgABRbEfEBD1yxc0ciyH4NCQm4wDoE9pEBFRZ0SEy/80dXZCGZFz3+tivPOqBgFyTiLZHURK5Uh2B193iOmVme4VXjmRvMJbn89//vOeiYkJTW1tbX1jY2PdmjVraq6//vrKqqqqxr6+PnVVVdXVUfEHHnjA/bnPfa4YoKurS7Np06bqmpqa+vr6+rpLly5pXvm4Bw8e1NfV1dX/6va3MivDUL+nHAgt8ZGuUb7fWPaagumvNC/QZjLctTRM2F6HUalcVuIJHqf9nmUbsVwuh83uwF5STjqd5bHTz1Lh8cEsoNSALDM4NLT8wJJEgULBvCxDLs1EYSl769ex89JJEFJImuX+X9a2RM1iHgpLyfX2Ilua6Z2YBGB+WsDqCeAIDJK0gl9XjT9ahnEoxMWZWS70vEjj3HaknTW0TUv4PVrE8n56MzKdo500Sz4c+hIeN0V5qKUQLsyze06PEM/jw0nfcICl7BjF0XeR8RaSVGl58ekRdro0KC4uUKxQkDa6sX3AzfszlVgOjLDenuLpwb0Mh+I49CK+wrU4Eh2oyutA/jZLZh/269uJzqqIHO7DVAFnjz2Lt8xCOpRgzLJAc6kH+3iIgtEUE04TFouVDe73cjTaRzw+SMJpBKBLOY414mG7vokSHIwKYxw2jOKbzxMsmGBVrpRyUx5doAKdrhQQaNTrKKy7EUNhOWV1VkImeGFeyfda9XxwOIo/4aU3HiGiGmHHDBT2nURdtxNQg8kFLCKF0ohOLVIghRxcdvZBq4DYy4YqV0wGjE0ujGqRtQYFdtXLF1ZXhpdMWz0sHZz8bw0x/epynxXe2nzjG9+Y3LVrl663t7f76aefNt15552V586du1RbW5vp6+t7XWvfD3zgA+Vf+MIXZu+9997FRCIh5PN5YWRkRA3wwgsvGD7zmc/4nnrqqcGqqqrMb++3eWOsBNrfU7bZTXy/sexVa2xfi9iRo3T+n3+ls+Hj3PxHKsZsXddMKg8NDfHkE08gyzKhqRH0cS/pwuX7qgSRHBJX9X1EcTnIAqg0eENz3NB9Em947qr8Hvk8KECtVpPNZPB6ilnqHwG5CG9ROf71ZcxPhmFyEIDx0AJZXRhTQTXajMCG2AbC2YN803Ird3QWYf7pd7Ddtp3RMRmsEErqsWYy/GHegP7cLDsDao6Ig6yTylChoMbgxNBxP08YjTzs0fKhkQxS6T7iIyKOAZE1egWnjs1RbNZgVU6w/sgehMYb2LVtF0MLUU4+d5adDx+g+Ft/R9BSz7r3/BEXDilRqno4JXZBWGDs0jS77mxjMpIn2DsLssBozMPOLVvY53uWzKSNqOI0qWwPYwXzwHKQtcXMtKp9yM4sHqOX+FScMoUPXyhEiaoWjz6DOGPE6tahyGWRkBHtWaRREXcqhVruYbG7AG11HZu6B/jyuMS6QT0H7V6mwxOsq2lFHQowfWScGmuSiDuIpX/5z6JtdGB9dwWxYzMonTqy8wnyqTypU7NXPdUVjhxSSIWgVqCrtSP+Yf01U8ZXJo+VPhPhvIyq4vfDFeftQlqShGcWIuZbXJaoRhTfVG3h5ubmeG1t7a8NjuFwWJybm1Pfe++9iwCX9Y1lgMHBQe39999f9sILL/SXlZW9rerPK4H295T/jvWXcXM7NX8uM2KqoLDWikdxbQnP7/eze/duuqYi1LpNDPWM0j14Ho/Hw+Tk5DVSfsigEvVkMzlQZdAoFJQFZy/vu6xGpFges8lkMsiyTDiUom7tRhAsLGXiHDr1PDdV1qD0bSKjSDB0oQ+0MhnFFGZ9MYklA4UVtdhn/pEKx/WIHSWIU08gyPdSp61jYdqKanIPoZurWZPS0q1L0SePk50doc22Dh1WnrZY+c8iJdfP5fhhhZrPrr+JmtJWlpLDpHuepTE/g/Lo7bDFh6bmZvpUOZrSORon4amWIywV7SRkqWbP9y5RXRGnsedx7Ed7Eda/G2NBA+miKjIXijgVeQhfykFdspAinZMz46cJKUHjXSKt8DO3kEQhB8mb7YBMavECKWWWImcbitkUJoUCZIn1ylLMGj1C2ICsBSGSQwYESWZx6EWsjjZy807iIyE0BgW5aAaVDNv64uTrXNx7x0b6X+rE9GKMC9kFphruIzY6jPe732bhjz9HzZb3oK20EnlxnPjhKRSbC3lBCLHlTAYVywIViWwU5VozxQX1V63vfjVbvbJt5GKA554Z5SaPaUVz+C3EMwsR8x/3jPmhdOh2t+1NMxcA0Ov1V/sESqVSlqSX2wapVOq/bGMWFBRk0+m0ePz4cX1ZWdmbemz/06z0aFd4XeRMhqV9+wE437qGP0tFOByNXy3hXRFwVyqVNDU18v6b2tHrNVwaOEddeSkFrssDh6/0kRQgKyVAlQEZcrkcVstywJcv/69RKqkpL6XQ7EAADHlortqC0qAj+MIj+BRahp98nHIyuOYWMCUbKHN4qPdvJZ3IM2w7z0LHPB/TbCLTvcBe0ciAtoElWy+uqkJkpZKebX7i0Qi1gWJWJ0qpyRZgn5HIZkwccyr4QZGS7RMTvO9CF185n+CjYi3yZIp0XwRtUyv5w/vQNqYwdBQz0DDNH49+kQMPP8L4RQ9fG/8jzD8/hHGwh/ptXRxb6sKwWqT4Y5+gybWD9JKS+CUblsgi6+JbyJvtFNpq8ahVlMf9mAQTUnI5QOWdESzlcVRpCRBxuaqos23EtqBG4cojiFFAwKx2XHkBSdvVHHIpyCmDpAb3kpqRyUxMIssQU1uREVC3OomW50EGg2IBhSCjsRQzpYpiVtvINStZVeVBRMbjKWBuZIBEX5D44SkA9vUt8CWtiqPFy2tqBUCvMmEYtVzjL/t6rGgOvzW5xWWJ/n1d6dAtLssbtsmzWCz5eDz+mieCx+PJhUIh5ezsrCKZTArPP/+8BcBms0mFhYWZhx9+2AqQTCaFpaUlEcBsNud/+ctfDjzwwAMlTz/99H9dinsLsRJoV3hdrtjpxY4c/Y1LzX6/n61trQwd2sfZc+de3iG/4qsAeQRGnYWIkhJVYnmdjZBO4rVZeNeWDYwf3ofFqgME0qEZnvnPp6nzNlD5vvspWt1Eb10tv+zt4sKZZygtnqZt60ZshSYymiA2xRQfNpewvagSIbCPpnCAsieeZeORI2h6j5HN7OfvW1sZmYwiIKJCxeZcIxVVO7GrRDYEcnz1fJKPdqfIxLx4M6NIU+fQlBlw3FNH1zqRb9wGXRtFxnsuMLf/BF9yfZLy1VvZ0H4Jr1iN7cPfIDTbS97xHW7YUEC09RYW2m6muyhHf9bEiBBjr7oTQWnFFLATT5g5Hc8T8xcghH1kjcu2fibnFHX1hynSGjDMCuhnQ4waRhgwDZGek5AlExPxPhbDy2X0tJjnhJjni6t0HLO60FbdQEHdzaiKW8gvzWBXiQjAxNgQxhEBGZnI4y8y9p3j7Pt+L32xFD8snOcrNWaet9Xi/Po3OTk0B0eSTI8McnJbAUKtlY2BPH95PsT6qSzjwgI5loN2pnfxGuWn1+O1hp1W+N2jEUX5drct8maUjQsLC/Nr1qyJVVVVNfzpn/7pNeu8NBqN/PnPf35m7dq1dVu2bKmurKy8qmv8H//xHyP/+I//WFBdXV3f1tZWOzExcbXy6vV6c88888zgZz7zGd++ffsMb/QYf1sIr+eO8bugra1NPn369O/6MFa4jJzJEDty9BpN5N+EfC7Lz3/yI7oHR17xYPI1me2oo5A99eu4ofvky6Vj4O677mR6sJ/DZ86DIOArLGdidgQZgbtuvx1vIIBi9Sp+8pOfMD47R53GTm8qBAJUmTz0L00xpDrLh+++n6JZLc/+/ddpHp8naoiRs9bT29jAzbW1DEZSSGemaLdtRImCBSGGUzYhCzLhrIxDKRJVSZhyAj/jIdYdy1H3iY9haG5CWW3i2PxLbCrYSHz/FLGDU+Taizh8/heUbPpnKnN/gWKflzHPHPHNI6hmNnLw+Ivo4170cR+OwjliUR1KOco2VRmn4lkmFWHUaTt1m9107TuGUGYkEU2gzumobo6jWywnP7xErcHJuCLAXtVF1kuFNGUbCcb2o+kZwND2UQRBIKCTuGRQs3Y+hk7QIuUyiMqX7eMEQQCrCnkxi6ATILl89ZPUK1AmM3zPuA+RHbinc1SVBnkp3sVaWymp2nb+RJXgy4M5irtjVGoVTIgBXlR3stHUgKB2sHpTDbZVhWSBQ/0LdFS7UK8E0/9xBEE4I8ty2yu3XbhwYbSlpSXwuzqm3zcuXLjgbGlpKXutfSvvgBVehSRlWAi8iKxcNht4vSB7ZamGnJOu0UxWKFW89873sX79eiorK6msrKSmvJR377qFmpoaCgsLl4egLp3EP5Vl85qd7N69m7vuuouq6hrc5ZUgCHiKyoieTtHs2ciu2lqKpqeY/PSnGX7s5yweep5ta1dz6598nK3+FnSTI8x3pfEp9dw4VMHi/gB9J7oAEN7zEQx3PEBfYwPeuhKab7+V4uIaBotyTIuLzKSn6XFZyYkCIYOM4NaBIGDOiTxm3UuRpRF128dJdSkJ/aiH/FCMza7NzPxsiPiBKczbvHh3lLH53e+jseEfKNryXo6WDlA4aeORI+fJV6dprFxFwjiOrWKUxCCkYxaScS9n4hKTijBRaw8ZTZiBC8fJxZ9hJnAJU8yPJlWMkNnIhhtWU2t0cVbVSbFko2Q+Tk//c8SKxlHvfxRDcxOCIKCusaHf4ad+KopOWHZsUqjUyJLEcoFXQJZZDrKAfDnIyoAmnoNaB3dWXM/HlgQ260RqQgWs0pSzfssOVh+a52vDeTaNJnHoBvmFtIdklZ5VjQ34tm5goA8iajWCUuRQ/wKf/I8zHOpf+G2csius8JZmZRhqhVcRDB2ms/N+mpq+g8u5/XVv90qd2ROmzmsmkTUaDTfffDOw3IcdGhrC7/djNJn58Y9/jAJYLUmEtEFK/Hbq6uvI57KMXjhDdWMLHR0dHD58GC2DTBwTUc4NINyzBv+3voVx0wZ0LU2UtaxGRsDVWsU65R1MzcwyuBSgpaiFC5MD6KaGqd94C8W6GgwjAkZRxQ/nHif+jJLri7ZTtlRPidLKUY+GL67S89XzSTbM5sGQvSo0uDPnQXN2HE21iKbWTsKhQ+kzMfnjHsTeMLlaG+btPgSlSEVLEVBEX18ffQuTLDUkubPtA7QOSUznteR7eumpA5O9DgggA2NpHeqcDeNiDYbiDOkRD6bqXfhWl5Lv1hGcSFLR7ERXacW0zYPRm2HxIpSPVGGcCGIvtRD6xJfQe1tJnlggv5TBdH4IncZAKD+PVtKiURmYUoYpke0oZJErI8Ly8q94dUlOUifhrDKjfGqRZD6PQ6lgURMlP+Nh+MQQDXc1si7ez+zFXsxb8qQab2Bj1XoMKg35nIRao73ac+2odvHP96yho/pNEQZaYYW3NW8o0AqC8DXg3UAGGAI+LMvy4uV9XwLuA/LAp2VZfv4NHusKvyV+nSHBK3mlSHy78PpiAkNDQ/z0pz+9amm2bf3NnNzXRYhJNm/ejIxMJp3i5BOPcPKJR3jvF/4XHR0dFBW6EaIRguMWTh61cra/h/etXoURBemeOLnqDEdPneDQoUOok04yugDaWAmU6Lh+oRH3LTsImzMYXoBZc4iz0ee4dfE2RrpNDNw2yLatq1C8NIM1eJqvnl/LpkAepUKBkHq5oVwS209+1wZiCSNLfjN7/nOArUNhzDMxwhOncRRoSFwqJDsdw3ydF1GrvMa+LXnoMGf/5rt01d9H3fqPYilRcfbsRTLaIAhgCtcjpg3YFecZT2rRGX1UeTYysmcBWU4CMud7OlHM6dGfEmjr8BO7OElF+3ZiS3UkxgU0U3q66caHA6bjyLJAXshjF11klfCEK0E42sUNmUY8kmvZxk6Qr/bNM0KOA/5pOoYLCRwfQY8CnUKBoMojDQ2xtqQFYVwg54/j3drG3EyCsU2tPNg/RVNBihucmqs91yuolSI76t1vzgm5wgpvc95oRvsC8CVZlnOCIHwF+BLw/wqCUA+8D2gAioG9giBUy7Kcf4PPt8JvAVFU/9pM9gqvXL6hQnxdMYFXBh6lUsmWnWvxFJWRVYeQkXn00UfpWLOKc08+yrpb76SsZTUKpZLayiqWDh1Fo1GjydrY0nYD+Xyenp8f4fBhiYmphzieDOPwOAlMBNDHvNj9Ri4u9LGuqZVMmQVfJ2QJURS1c134eqyyE7UmT4mxnLx9FuvdflxBidW9WvJy/OX1vsjLU7rCx8gvmRGmY8zGIkjOMNoZJTIitgYnGftqwj/uXX49RAHL9mKUQy9S498OSiXGze3YPiIjH5c4NxbEok+R0QVxFCh4Tj7OH5RuJnwCSs+O4t7VgOxuYfj8Aqt2eEmPTxDdu5cBhZuZ0EFu+8AXURUur6dVeSyYtilZ2j/BSFmU/XOdbBeb8ElOZEFGwXLmetyp5Gstbm6d2UpRWI9ianlpmeuyAAAZAElEQVTm5JV+sgf80zxQUctf0cvNllak+eDy/qwCe8kqZAE0DQ5MWz2M9S9yYb+S7VXyb7wOe4XfGZIkSYL4Jq+HXeHVSJIkAK+rNfqGAq0sy3te8eNx4I7L378X+Iksy2lgRBCEQWAd8NIbeb4V3p4olUpqamqu/qxQilSucgNucrkcd999N+VlpXidLuxhN0JOAOXy1PPs334X1YZPYtrlwbDUyaOP9nDHrbexLXSc8Fg/xtxmXAqZ7KKLrS21NOyu5sAv93K89wxC3xl2ZJqp8JSSm4wzqCqgQp9DNdpJ/y8Hycz0sbbqvRQtiuSFOPkSA4tjUexKxeXSsQyoUMykSNjUHCPHt7dVYD2fZOtCnnxxG2JvkHy1DYNagbG9mHzfHkZ/8BnKPvQtFA27ENRqDC2NZM4dJGrrZmlOoKGhgXftehd18y9xcXSRuc5xbrcfJzkX5Ln4Brwb1azdVYZKKOVU4Rzn+/qoXfceSm5oRSkryWz1MJ+T8bQXI0syLS4/ptkiCgN6FFYNF2cvUjXqQkBgQyDPB4cz/LDCTPtcki2AoM0jpxQk81kms9CRruKPEuMcGrbhKR3DJKYoVFpx3FjDYjCNs9SEoWH5gqpAhJs+2oivwUH1ypDTW52uhYWFepfLFVkJtv9zSJIkLCwsWICu17vNm9mj/Qjw08vfl7AceK8weXnbqxAE4ePAxwF8Pt+beDgrvB24EoTzuSyKXol4zxSiIGK5sQzdho3kPiTTU+vjS7Ewf/HwL2je0UxFbRXa+hoyPS+yeCDJwLGHWb/qXtwDUdLH56i6aOC0Ps+WZBP+uipC2VnEgQOYtjejL2rBnBCZTS2w3rULxeJyCTWpzhJxDGErqEc4F0JGuOJqDoDJoGb3dJbSgIK1wTyaBjuiRUNCENCqRVLdQWIFegIWK09N1vOeuA3/5d+xrMnJLR/cxPkliXpnPTWVtUz1RUArMHLmBa5zwuIvtRRt9lNfpeXgmRcx71Wyacc6oi4X9PXROzLGyOgYvryT2MFJzsXzyDd6UB2ZRkImLgZRb24hcXCaGlMJMtllcRBkPjqcoTaVZUNABlkmODNL1KnAIzup0irIeZ2s8Xj5vnyOG0tMnPj/2rvz6CjLe4Hj3+edmSyEBLKRkD2EBBISIIEKGIgIKGgVtKKg2EW7qLf33LpUr9V7bu9tT+21tm711mq97rRiqQvSiiyCEFYVkEA2EkgISwgkARKyzPbcP97JOEEooIaZCb/POTnMvO/LzPObzOQ3z37oY7415zqSQsNInzDUOye2s7yZ1j9XEn9zDjW1u70tFL58++NPPScuLKfT+YPGxsYXGhsb85GBr33JDex0Op0/ONMFZ/0kKKVWAomnOfWw1vpdzzUPA05g4fmWUGv9PPA8mNN7zvf/i8B2rlOE6j7bytIPHmfOzHu9W6s11LTz0WbF9LwQnnGdIHp2Efd1vczgw+OZmjoVS+5MBldVkzToJpJbo2ke5yLpshTqVBOujVYiS1L5RB+m++8WEnMK2XBkF/HDMmnNdVNZV06KvYB4azhuZwjNzuOsrNrJzEGKZBJAa7qUnTDMMrucDmwaZmbE43BY6drZzIAbc/j4cjdToyMxULR9tJ/EW3KY/dOHyRhTZMbvdGOvbiU7L4HU3dNBw4HyY7z/wg4SRrcSfzyJYROmk5KazcC5dzFk/TugNduWN2AYBqWbS8nNzSUvL4+srCwsGMQsyKXQodkTVsbeT8uIiU9iZ1MFrsMGOWlpOPedxIgJ5URHJ5FdFk4MbOeyAwPosmpsboMjg61ssO5iCsMZ7kpj+8oG8m/L4/lvj6c4K4b6YXEMqQ+heV0FMbeMRBmKsJxos0/+lmzqG1fy5oYa5s2b16ulAnr3x596TlxY48aNawJm+7sc4hy+5WitZ2it80/z05NkvwdcAyzQn0/KPQCk+jxMiueYuMj4LnrhOwXoVBljirjmvgdInTcWo34FOO3m6kG3jyRq3WJG3P1j8mNzeTDnP5iYMBGAfeUtfPbhQY6SQF2BJnf2JIwwK6OmFTF//nyODWvjs7/eR9xnf6JUvUNhXh6D13YxOiGdGfYCkt0xtO5Yx8GTBsnuWGY4xpAePdxTkVXeJIsGfbgbtKbxw3q6dpq70ZS6uvm3kA6Wle6la1czA6cko7RBen4RNbV7cDqd3pHZZe+V0vLnCloWlhOPi/zZUexs3MWEvPHkT5/AgJt/Qk1ZGdaoYuaOtHBt+ItMTGqipKSEqqoqQkJCsFqtKKtBRH4cmYXxZO5J48qThbgqYhgXPYLUiihOWk5iTRvIgbFmktVo9nUdRmlF60loOtmG6hrMdHsBidWVHM6owXatJilnAJmddYRYIJ0hdKw9aH7h0dD8egVd1a1mn7xtK8PX3828ycPJysr6wu8xKyuLm264gYSG/Wh70Kz5LkSf+krNCUqpWcADwGytdYfPqSXAfKVUqFIqE8gGtnyV5xLBaeDkYlKeftrcSu8M+4ma03q2mrXAPWvZ+8qTuKpXYbEaRLeWs/MfS4n8/vfZrgx2rdzF0o+X4nA5SM6JJD3vBG5cJI8YQcPO7di7u6itrSU9Mx3rJ+VMqc5j2JUzmHr57eSmTGJAXhwDxieQkpPDgAkJWAovYXiYBUMroh0xOKvaMGJCwWdYlEt9PsZhwDG798xkSwiPhMcwbXg8ISOjcTlcNC+sYOuLq1n0xhvUVFURlhPNwVlOfnziAY5aN1K9+3UcR3bxjSl5jBqeScm1U7Eoza6XX+a9xx/hg+dXMCByPMPDPyHEZlBSUsJNc28k2R5Nt93Za2vDxMvTWFMSz/BCxcBBsezuaMW2V+NoaOPVqlfYf4WDyhGNrIwrRSlIDrUwJCKS0KGdtLfsZs8lsD8ziZ8fuJ8V6xax5HePsGfrpzR2uIi4LIXIy1IIz43xjiwHIGs61vmvMKJk7mmbhq1WK8mHmzh09920l8q+sULAV++jfQYIBVYoc9WfTVrrO7XWu5RSbwLlmE3KP5YRxxcnFRJC5LTLgS/uJ9qTYN0uF0uffJTZ9z2EYYxl2bEHmNWdRybQODSRDZOLUQX5rN+4kdQxqfx6968BGB2STPWGlxhbdA3aHs6SZx4jc8Yt7NhfRcroFJY1fMIdRT+CditJqzRtzhq6rBY66o+jTjjoVooEYkCB3eYm0mEOgnK3dNMz2VShsGJ49zvwdeLASVJWN+AItXh3r2lxuhhSH0LJITuJhxpRo0ZRWFzMbxpv5eimpWwovpSk5EQaV69iZ3UNcatXMS48kuZXP8Q6/FoKryohbUY6ZC+EjClYa1eQ7i6i+S/VbLsxg7uON3u3Nizt6OSh8C5+uelDroi5kj2TYhkQNZSu9Y3cEPNtNkWW8ZLxIj8s/iGDLNk4D3Rw3KVJGJoFxGPYMlj+QgX/9a3HuGLyBA7E54ORzraXyvlGhIWwtCjC82J7bwxgDYERV/3T37nvlyshhCzBKPyo9tPNLPndI1xz979jWCyefk0L+8pbSMuLwWI1vINrMjIyqKurIz0znaUfL6V8VTk3zr0B16aNqCeeIvnxJ9jZ4uRgqQVjYge7arYzfvAQRh/IRYUeo7Wpi8GDk3AqFzYsuGjDQiRG4gBcjR0oFFjA6XLRYGsh1R6DRfUkUO1doxkNnW43oSNjGRAbRtemRoyYEMKzY7CmRNHScIKIti6s8UcJTckjPC8e3E6OffgR+w+5cScOYtS0cbhxUbp8Ge7cCEqSi6l+cxMfbXYz6tooJl9RZNYWq96HRd/Gff1rtB3MJXRKEms7OpkaE0mIYWB3u1n58QpSX36VzG/eQsQsMwHWL69n2dK9GEN34Jhp47axt7Hl8BaKk4rZv+s4y54rY9YdBSTnDGbr8n0UXZlGSJj5ndvldLOvrJkhNoUtO5K1jesAKEmcgqu2/Zw2DBAX3umWYBSBQ4YFCr/JGFPE7PseImNMEYZb0762lIGTi70LH+jOk3QufpacuXehQkO9g2uum3AdBXEF5uCg4dm0pWVhHZKHzVLBJRFwaGgkBePnMywphaY/f8ya9iHEt3UxGFBaUW85SrIrBq0UjuYuvJN5XJpayyHWG9VcHlJApiMecEHPakoACsItFth9jM7dGqXB3WKno76VE0cOELXXQreGEw1hhK6tZsBl7dSf2MqJP/yNo6Pv4JKBDrpTj9PkBgoGcf/ae3ni8ieYsmAqLYmfsmbz+ySmRZB8uImBk0pQ816j21FE20e7sQ0NZ9LRcmyTiyEkhBC3k9xdjViifsgRl5UIzNW6UqalMvNwO9aqIiKODGXL/g289tK9cNvjTMmb5t01Z195C9s+qCchI8r7mlusBpmF5mpOaxrW8NOPforWmj9lPkXSMut5bdQuhDDJV1PhNxarjaxxE7BYbb0GTfVoX/ws+x95gfbFz+Jyutm74ygupxsLBmmuOCwYuAyDeiI58kYVebG5NM5yEzVkCFlZWdgiI9g2cwQPjA3n79EGbS43B4wWVtnKqNDmWuuG/fNN6RWKiG8kMMM6ljRHLK4QqDdacJ0yD91tAFrTShs9s4B0YxeReww6hrjQQEibA0eYhYrSHbxXWUHkv9xA0XdGELMglyaHZtlzZaQdy/U2pVusBpdOL2TevHkkHmo0X4uNW2DEVYSNjCf21lycTeXm8UVPg9MOtatIrX8Q18gGUqaP48SqfTS/Vo5jz3Fiko9ir34fi20/Y/do7nvLzdg9uteuOWfbqq44qZjfXvZbfjf1d4ydMKl3X60Q4pxJ07EICKebBqQ7T9K++FkGzr2Lut2d3ibPRKvyrrG8z3KURYsWMWfCLEJTI3G4nbz11lvMvXEuo3JHseK3L7Dm2HHiG6MISR3M5d2RtNBBtyOKbEsobq0xlCIsN4buyhbCRsXStbMZF252pDSx7Wg5l9sKyWyLpjvChe2kwWcdLpITFLFtYGCYzc5Ad5SLiGQXJ8OScNa1EdHazZFCB7aR8WQYCUTkxqGshtk869M8DuY0oK7qVjORuZ3e18JlGN55qRa3m/ZFTzOw5n9Qt7wGWdOhdhVkTaezuo3m1yuIvCyFqOlpvR4D+MJre7oyiOAlTceBTRKtCAq+icEAb1KyuxysX7+e2Lh43nn7bQqSwnnBvop7Z91P1skxRHd1cuKtPbwQ+QFTF1zBxLYCWhZWmGs+5cZQGwnRR46QcUMhjk9biZiYSOu7tVRXVrHStoPxKQVcecs1OOvbKWssI2E51I+Gb8yZQNnmzWR1pGCLH4h9dwvQROcO2NLpJuwaRfJxuKvjQZ4a9uhZm107y5u9Xx681zjtVK1dzKJSnzmrnposWdPNgUkevon6XPpQ9+446v3i4rtG8Zdhd7tZ09Lm7TsWF54k2sAmnwoRFHybPHvWWFZWg7q6OkpLS6lobKfhsI3sp17lobirsFZH8P5zn9FqCyPm1lxKbp6GW7mw5kQSc2susQtySViQy0DXESL3GtS9vY22j/bjOHCSiMIEknUMSZYIRu2JxVnfTnheLGOLJ3H4aph4wyTCI8IpSCygc0Mjld2VDLo5m5hvTSR8rCb0m27eq36Z2O0Wnhr26Dk1u/Zs0BA6bJB360FqV5G17pQ5qz2jfq29F//wfU3Oxdmajc/HmpY2bt9Zx5qWtq/8WEL0R1KjFcHllBpdz6jktIxhrK88zLgjVRxMiGfx228zpWgG6S5F+sxxlB7Z2GsbPzBrgW07mthbU8mwK8dSsWM7YydMwmaxcbLyKFtsZaRVhpExczzWsNAvNLfau7t5d8Ub/Kb59zw27bfex3W4HKxvWM/49jwiRsZ5k9+51Dp71WxzIk9bew00UqP1P6nRBjb5VIiA4XQ6qaqqwul0nvmi2lWw6Nvmv3y+VnJ4qI0ZY1KInjGdAxGNbIzfiKulDtsGOw0rtn5hDi+Yzc8nFteQk1/Ap23buaPuHjYc2khXdSsRw6NIr6zivUW/oX7XdsBciWrZc2XsK28BYEPTRn7V/AQL8m/F6XZ6V7yyWWxMzZjKwPwhvRJqzypRXdWtZwzPd+vBM9VeA02IYXBl3CBJskKcgXwyRMDoWSe3trb2zBdlTYd5noFAHna3u9eKSYbF4NCAQ+iJcbgmh5J6RRE2i43iJHN1qq7ubmq3NXGww0n0LSPN/XQ9iXh8ex7Nr1fQse5DBtb/kmvnzfCuW+zb3KqdbsYfz+PJy54kPy6f+z+6/wsrXp2qVxI9g/NtAhZCBD5pOhYB48vu/LL86HFu31nnXTHJ4XKw/uB6ipOKsVls3uvWNKzhntX38Ivkx2n4m/m+v/JHo3CFH/M+Z0/zbvvgLZRV/oSCUb8nPmHmF57Tt4nXOiLqtM8nxIUiTceBTRKtCHr/rI/Qt1/U6epk/bY/MrHgRxyo7jT/b2gzf138V66/9GrypxZ5a5Jut53mlnXExkzBML7YdHu+o3yF6EuSaAOb/IUQQe+f9RH69ova6tYydfmvCdtfSlbhELIKh5Cdk831l15N1IcdvfpODSOE+LjpvZKs76IZwdTEa3e6WVl+GLvTffaLhRBfu8D/KyHEV9CrX/Q0/btWq5X8qUUMuXXUWVc9OnUw1Olou522D1cH1BZxa6uPcOfrn7K2+oi/iyLERUkSreifnHaoeh+F8/Oa51ecg3ouc09Pt5Skv5XkxPPHW8dRkhPv76IIcVGSRCv6p1OmAX0dfBfNOJNA3CIuxGowIy+BkCBo5haiP5Lde0T/dJpm4gvBd/9dIYQAqdGK/uqUZmKHy8GahjXeRSWEEOJCkUQrLgrrD67nntX3nHVRCSGE+LpJohUXhdMtwSiEEBeC9NGKi4LNYvMu+i+EEBeS1GiFEEKIPiSJVgghhOhDkmiFEEKIPiSJVgghhOhDkmiFEEKIPiSJVgghhOhDkmiFEEKIPhRQG78rpY4A9Z67ccBRPxanr0hcwaM/xgT9M67+GBOce1zpWmvZnilABVSi9aWU+kRrPd7f5fi6SVzBoz/GBP0zrv4YE/TfuC420nQshBBC9CFJtEIIIUQfCuRE+7y/C9BHJK7g0R9jgv4ZV3+MCfpvXBeVgO2jFUIIIfqDQK7RCiGEEEFPEq0QQgjRhwIu0SqlfqmU2qGU2q6UWq6USvIcV0qpp5VSNZ7zRf4u67lSSj2mlKr0lPttpdRgn3M/88RUpZSa6c9yni+l1I1KqV1KKbdSavwp54I2LgCl1CxP2WuUUg/6uzxfllLqRaVUk1Jqp8+xGKXUCqXUbs+/0f4s4/lSSqUqpVYrpco977+feI4He1xhSqktSqnPPHH9t+d4plJqs+e9uEgpFeLvsorzE3CJFnhMaz1aaz0WWAr8p+f4VUC25+dHwLN+Kt+XsQLI11qPBqqBnwEopfKA+cAoYBbwB6WUxW+lPH87gW8Ba30PBntcnrL+L+Z7Lg+42RNTMHoZ83fg60FgldY6G1jluR9MnMB9Wus8YCLwY8/vJ9jj6gamaa3HAGOBWUqpicCjwBNa6+FAK/B9P5ZRfAkBl2i11id87kYAPaO15gCvatMmYLBSaugFL+CXoLVerrV2eu5uAlI8t+cAb2itu7XWe4Ea4BJ/lPHL0FpXaK2rTnMqqOPCLGuN1nqP1toOvIEZU9DRWq8FWk45PAd4xXP7FeC6C1qor0hrfUhrvdVzuw2oAJIJ/ri01rrdc9fm+dHANGCx53jQxSUCMNECKKV+pZRqABbweY02GWjwuWy/51iwuR1433O7v8R0qmCPK9jLfzYJWutDntuNQII/C/NVKKUygEJgM/0gLqWURSm1HWjCbAmrBY75fFHvb+/Fi4JfEq1SaqVSaudpfuYAaK0f1lqnAguBf/VHGc/X2WLyXPMwZrPXQv+V9PycS1wieGlzfl9QzvFTSg0E/gbcfUpLWNDGpbV2ebrNUjBbVkb6uUjia2D1x5NqrWec46ULgX8APwcOAKk+51I8xwLC2WJSSn0PuAaYrj+fvBzQMcF5/a58BXxcZxHs5T+bw0qpoVrrQ57ulyZ/F+h8KaVsmEl2odb6Lc/hoI+rh9b6mFJqNTAJs5vM6qnV9rf34kUh4JqOlVLZPnfnAJWe20uA73hGH08Ejvs0EwU0pdQs4AFgtta6w+fUEmC+UipUKZWJOdBriz/K+DUL9rg+BrI9oz1DMAd2LfFzmb5OS4Dvem5/F3jXj2U5b0opBfwfUKG1ftznVLDHFd8zI0EpFQ5cgdn/vBqY67ks6OISAbgylFLqb8AIwI25Zd6dWusDng/XM5gjKDuA27TWn/ivpOdOKVUDhALNnkObtNZ3es49jNlv68RsAnv/9I8SeJRS1wO/B+KBY8B2rfVMz7mgjQtAKXU18CRgAV7UWv/Kz0X6UpRSfwGmYm63dhizdegd4E0gDfMzdpPW+tQBUwFLKTUZWAeUYf6dAHgIs582mOMajTnYyYJZCXpTa/0LpdQwzAF5McA24Fatdbf/SirOV8AlWiGEEKI/CbimYyGEEKI/kUQrhBBC9CFJtEIIIUQfkkQrhBBC9CFJtEIIIUQfkkQrhBBC9CFJtEIIIUQf+n9Jyr5+rvb8LAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "-------------------------------------------\n",
            "Loss at epoch                  2: 0.016724\n",
            "Training accuracy at epoch     2: 61.9475 %\n",
            "Validation accuracy at epoch   2: 66.3900 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                  3: 0.014550\n",
            "Training accuracy at epoch     3: 66.7200 %\n",
            "Validation accuracy at epoch   3: 71.0700 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                  4: 0.013096\n",
            "Training accuracy at epoch     4: 70.3950 %\n",
            "Validation accuracy at epoch   4: 72.5500 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                  5: 0.012168\n",
            "Training accuracy at epoch     5: 72.4950 %\n",
            "Validation accuracy at epoch   5: 73.3000 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                  6: 0.011411\n",
            "Training accuracy at epoch     6: 74.1375 %\n",
            "Validation accuracy at epoch   6: 75.7600 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                  7: 0.010782\n",
            "Training accuracy at epoch     7: 75.4500 %\n",
            "Validation accuracy at epoch   7: 76.4600 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                  8: 0.010228\n",
            "Training accuracy at epoch     8: 77.0050 %\n",
            "Validation accuracy at epoch   8: 76.1500 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                  9: 0.009752\n",
            "Training accuracy at epoch     9: 77.9975 %\n",
            "Validation accuracy at epoch   9: 76.8200 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 10: 0.009483\n",
            "Training accuracy at epoch    10: 78.4650 %\n",
            "Validation accuracy at epoch  10: 78.5600 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 11: 0.008890\n",
            "Training accuracy at epoch    11: 79.8675 %\n",
            "Validation accuracy at epoch  11: 77.8900 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 12: 0.008607\n",
            "Training accuracy at epoch    12: 80.5425 %\n",
            "Validation accuracy at epoch  12: 78.3500 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 13: 0.008364\n",
            "Training accuracy at epoch    13: 81.1325 %\n",
            "Validation accuracy at epoch  13: 78.4100 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 14: 0.007997\n",
            "Training accuracy at epoch    14: 82.0325 %\n",
            "Validation accuracy at epoch  14: 79.6500 %\n",
            "-------------------------------------------\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "-------------------------------------------\n",
            "Loss at epoch                 15: 0.007799\n",
            "Training accuracy at epoch    15: 82.2750 %\n",
            "Validation accuracy at epoch  15: 80.5200 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 16: 0.007539\n",
            "Training accuracy at epoch    16: 83.0175 %\n",
            "Validation accuracy at epoch  16: 79.1400 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 17: 0.007278\n",
            "Training accuracy at epoch    17: 83.5725 %\n",
            "Validation accuracy at epoch  17: 80.4900 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 18: 0.007073\n",
            "Training accuracy at epoch    18: 83.9550 %\n",
            "Validation accuracy at epoch  18: 80.3300 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 19: 0.006826\n",
            "Training accuracy at epoch    19: 84.6475 %\n",
            "Validation accuracy at epoch  19: 79.9500 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 20: 0.006752\n",
            "Training accuracy at epoch    20: 84.7575 %\n",
            "Validation accuracy at epoch  20: 80.8900 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 21: 0.006477\n",
            "Training accuracy at epoch    21: 85.4725 %\n",
            "Validation accuracy at epoch  21: 80.3000 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 22: 0.006328\n",
            "Training accuracy at epoch    22: 85.7625 %\n",
            "Validation accuracy at epoch  22: 81.3100 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 23: 0.006162\n",
            "Training accuracy at epoch    23: 86.0825 %\n",
            "Validation accuracy at epoch  23: 81.6400 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 24: 0.005955\n",
            "Training accuracy at epoch    24: 86.4550 %\n",
            "Validation accuracy at epoch  24: 81.6800 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 25: 0.005863\n",
            "Training accuracy at epoch    25: 86.6475 %\n",
            "Validation accuracy at epoch  25: 81.5900 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 26: 0.005636\n",
            "Training accuracy at epoch    26: 87.2100 %\n",
            "Validation accuracy at epoch  26: 82.1400 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 27: 0.005651\n",
            "Training accuracy at epoch    27: 87.0350 %\n",
            "Validation accuracy at epoch  27: 82.0700 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 28: 0.005523\n",
            "Training accuracy at epoch    28: 87.5225 %\n",
            "Validation accuracy at epoch  28: 81.8300 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 29: 0.005303\n",
            "Training accuracy at epoch    29: 88.0600 %\n",
            "Validation accuracy at epoch  29: 81.7800 %\n",
            "-------------------------------------------\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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PlgWzqqeXIHMxN0eMR6OzZRejWb4vi9+kR2DuepJ3CnuZ7h1AgM+leHlORAKOjiNo7y5lX7+egNY30QHe+hlERz3JsWN/xs4+AK3Whqqq1wBBWNhivH1uISP7T0TH/IWB/nyMxjaKirLRe6XT2ZmNo0MEWIeEK6tWW5+LhoSE5cTHP0d3dyEVvdewKjuIReP6EAj0+pkYDF9b5myP7cDLayaGlq2EhGjRaR4AVItWReXnjup1rGLhxNxnxDTQ2VJX/7l1PenpCQm5F3f3MUMim5u7mMTElScFhTiT8BpNCruLm5kS5Y0WqMxvxMkvD2/vqWxt7WNBXgWLHdtZ0eVEaHkJZSOiuEqs48mEdPT6S9nS3Ils6MBmcD+1Nv38sSWRh3iaO5PuxVtviRjVbNjGGzmvsIzH+JPrVkZ2vkZ83DL8/GYPteNE5CcB6PWXsr2ojfvXHmTFvEEuS7kKsFjt7e2HqKp6Bb1+Br6+sxFmEx5Fh6gItEPBhprBm5gSE4pOY6KxeRf5Na2Ijj8SGHgXNa29RAUk0Fr1Li2DeUgpyGpMJs0vl2RrEA0VlR+K6nV8caPO0apYOCWGcGPjV9+mnfQyZhnuNJuNQ0J6agzg7wu+b6vTMD3OF1udBjNQbNrPWwVrqG7ag0mRvBwVSNrxLNybXiTQ9zj2lS18Ja7lpQYbNtU3cV9+ORmN+zjS/gU+Rjv+os/DL3ABRpMJxdjNQP7n5JQ3cH30rTwb0s4VgYnExz+H0OhOmm/WaGzx9ZmJt+flDBR1MTHMhRVXZyPaf0d5xXJLb/XTcHFJAAQGwxZ6eorJK3qMqso1iNrD1NS+zsrNH7K7uJmW1j0UFiwhLsAV6fZXqppLoPddjtcVEuAyDgBFSsy2U4iOWY6X52Sk0UjX9h3IH+hxraKicvGiCq2KBeuwrjJiMk1Nm+jvr/s2bdh6UhRLPOra2jcpLv47x0v+QV39OurrPsVk6gE46+D7imJkd846luxxYhm/4d2eaBYWVNBetIHAf77KqN5B9jtdwU0jsrhafsoagyNvFx5m5jc7MNSX86LmcTrcfGg1bOS3dV6szV/D1n23U37o1ygdf6Kk5ijprmZKih6hp6eY/PwHreEXT3by6j3WROXX79JStAHR8zZubilUVLw09KLg4z2DxIQVJCSsIDRkIWFB91AZ6kgV+XjrZ7Jw2nWYFAUX14kkJq6koDWRlbsq0Bj3gP00Jrgkov/yGYKcLkcjNGRV9ZDfmsj2ojbad++h5sEH6d67D6NJYWtBI0aT8l2PTUVF5SeGOnSsctIQqiIHyc9/mG+DfJ09nh6X4R9wDV1debi4JODjPeOkCE0e7pfQ1n5wyBJuNmzjSO4DZOiW0uEcR5pvFLktpUxoXoi/+TJe1abj59JNlM9EqsqeYa8ST4aYAEiWymfwdE0kzM5IQ/27NOqSievLQWOvkCdSSNA5Yq/sHwq12GfqY0dLC1PcXamvWs+A8QBG1//FHDSNVHmIooIlxMY8jaF1M83Nmy1hG8OWoFE4aUh9+PPq6syhsuoVpPv/sehjB1bNT2N6nK9laPxYHfH6Qny9pw7VoYyYTK1hPx/mBhChd+ORj3NYeX0il7QeJ8s7GpNGy5L3jgzVo6JytqhDxxc3qjOUCi2te8jLWwKAXj8dUHByiqenJx8AjcYNRek4qYwENMIDKduGrrW27aG17dvAD4MRT9I/WI+UZqqr1xAWtojKypeH5nJdXCdyxOZBVhpHI9tgbXsdAgeivB+lwLCZLxjBXV2HeKS7A0XewyJewEfW4yq90GjtCep6i5yuRBJtJN7mo+Q5pNAn7VgtHmQpXzLD04GcxhHE+1TyYdEHLONRHmp+ilSZyYByCX/eo6E+uYIlIbHckbASzJbdeEJC7iM0ZCEGww7MNYfQ7l+OXr6CJsYyb2tSdOQaUpg0cipOLilkN0az/BYbpkR5oyhGOtr3MClyIntLkvDy0mGr00D0FWiAY+3JvLQri5mxniTr8zCJaD5Sqti8/SD3TJ/Pqvlp/+aNbOrrI2/9ehLmzEFrY0d/cRv2UR4InTogpaLyU0AVWhW8PCeTkLDcaqGtBgQ9PYWEhi4CCZVVLwNgaxuMk1MErW07QYKii8bZrpuenjxrTYPfViqhrPRFTBgA8PS6nPKeOcTHJQ4NKe8t6eCVjf5MiNtCqn8efjKOMkMHwWYbJsbeTvuxg6QoLxEu/ocSEUuNCOZm+S6HNaNZJh/nKvz4UlzLUuUplC4NL7g/xmL5LPcp75HMegwGEyXtxeTV/YUrwkYRhIHw5lm099lQ5rKEGV1b6HeIYHmVAa37SOZKHbX7f80Ir5toaz9Ibt4DgAJxLiR52HJC/nYXN7PonSxWzU8DkljyvuWzrU5Ds8EyPz3o8jd+/YkjK28ZxaxEf8DiBNY/aOLyWF9qmrawJGUN5r5+wjTvsCgJ4n3G4OU1bchRzNYqpHnr1/N5bi4AUdFTaH3vGJ43R+OYpFq9Kio/BVSh/Slwikfwf5z+PQw5BekvxcU1CSkHEcIGb/2lQ3kqq1ZhNFZjNNZgbx9Gf38FwpSBnesUenpOU6kAJ7doBgac6euvoKVlCyuPjmDxrDvx97UMJ8e7ZbAxYS/lMQtIkrAj9yCvB/8BO/k8mcVjyBRjyRVmykQ0AomChgOMAwlLeIZEkU24rCKJo2S6jUEiaK92ZpKXJwMucylUKkh2P8qRhmeo1+Xia3qYooxeGsebeb7XFn/PAP7k4IqPpp+uXX+j/JIJjJoZRHCsB1rdZBITXsSsmNBqdLh6TGJn9U7G+40h3iuHVbcmMWmkG21te1h1a9KQFerhfgn+Afey4pA/yI6TYh3vLm5m6ftZaJyPMSNoHHtzyhg7eS46jSQ2JA0Pj8m8sO04q3aVsvyWJOzdSpgYMJGEOXMASJgzh959B+g9+Aqu0+4FvhVas0mhqqCVkDjPofXIKioqFwfqX+RPgVM8gs8m/b+J6nRCcP185+DrMxOTqYf8gkcJCrqD2Nhn0Otn4OU1jYH+Cqt+KAhheVdzdk44qS4hHOjo2EdffwWKAortPBZPDWPSSDek0UjNzhXkFD3GfnGcSW3vow1MxTHxXgC2MIsMGYIiJRliHGM4zGw+YwNXs1w8ygrxCFoUHBhgFPvRYUKLGYHExQscHN9gZ4UPL4jH+ar2el5tuouP8n5FU9tHiChnxtrGMdu1G6PLyzi6lZHesZb0xG1oe/9GY+fvqNr5AluaunD1TEens8fVfSovHdrCwzseZlfRKvLzFhNk8x7tLTsoyF9CnGce++q2U1W7jl2Zd1Jb8xI2fe8wOtSFseFefNXYztf5DaSFeHDluA4cg9aS5LKVP7Z/hLvhXUTvWnQ6W3YWt7FqRzELEm3ROBTx8I6H2Ve3D2xscEhKwqQVHA434/Lb21nlI1ifWz3kOFVV0MrXL+dSVdCqOlWpqFxkaJ944okL3YYhVq9e/cTChQsvdDMuPtxDISDFYrFqtGeVbmjZSW7uYlxcE3FyDP+Pb6koRo5mL6C1dTcDA/WMjHgEP985uHqms7/XkyjXMLykNyMif0//QANOztG4OEfT1Z1vrcEEWCMRCtC7BdHfvgYP9ySUQzUYHv47eTPm80fnBfh59jBQ/ScctAaqBgU5IoXRopXUjmNEkMte3UQuYxPteNCKF7P4HE/a8B1oYv/gOHx0TTR3+5FmewD7kn4czOHYeAWRrPuIbX2TaR0ZRpRfD6lOm2nUHmSrJoqvjCksjErH36YfX3d3Cotb6KxwIbW4mm3bHXg4OJ7O7jJsKxZT0+HNun3F3BoYyUD3WFprKxBiE6J/MsU7ozDY+vJ2ycOE9G0EYz0IiPSooKm/ikKS+WOtgc37SjA27WLjER0Px9bi0h5JXOseOj196XWop65/PIdr3WmsrSC0PYdxMWOZHD2ZMT7j+Xz3IXIyVlJSUc1fy57ioEsUH/SHsu3INyS5BBLu7Yyrlz3eoa6ExHmyyzq0nRjoRri383/5pVP5KfHkk0/WP/HEE6svdDtUTo8qtD8FNFrQR55eZAEFMwZRi4NjKEJY8jjYB+HiFItXaz/CfcRQWaOisK2lk2B7W7TijBu/YWjZSVXVq7i5jSI+7lm0WgcAtrV083ClA17dn+Fo3Iuuq5G6jq10dR3Bzi6Q3r5yPN0n09dfOVSXQNDXV4qTUxx9fVX4xP+KwQSBq10mfsoBRtu1MzBoR+aAlk+5kVHGSrxrDrHZdwqzteuYwF5KZAQHxRRAECOLeFfchVkreN/mTszClnfs7sSHBt7xWUCM8y4GWsspc47kkMtExsgD7BTjiLaDvZrr2MQUorrMjDTXs6n494wwbsLZsYkD/TcQYBvIIVsdQSGVfDiQQjil+GoEY73eYULJfvIdvTjQpKcvdAHTEqdTbTazud6RA5XuzIiIQGO2vGhIuxFEOBbgI7MINR8mTO/CeMcXiHQvY4TTcY719NPjo8erN5M+p0mszNKw0eDIwjFdzBozmaAGA9Hxk9hd2s5be9dxRcJntOyrI9r7Bkoq27ne5zOmuI/A3WeQY9U6Kpt7idZqEe52lLX0cGWCP+kxPmg1Z/4dq/x8UIX24kado/0ZcFJkJvfJULoNTcQ0vNsV+PAuuPFtjJEz2dnahUmRLCyoZE1CGDP0bmes08tzMklJq/4tulMSR1nKq8wJGoVXbwqeMYswV4dQXf0K3j6z8PefS3vZJ7QO289Vq3XBbO6kuyefnp58MjoyMWnawSgZr9HT1Z6JIiEeO0ZzkAzbcSwM+YLR8htGUkgZ0QSIWmsLFEZQwlL5L+LJY4Qso5hIpIBgUclD8imSTPlk+8bzlfgVAGPkfkb09NEvK9jFPADMzXmsOejIb2ZcT1G3F9uLO8hpjuQjGcuCtErm8iLOg0nEeczjoc+1LLsmho2hRezs+4TkxAReGLge2+oc3mx4lJ7qW5k1YgYTUmN4f28ErYaNpPnmgF0EtgPFNPXM5gPn8WSU2RInG4j0eINAb2dytA6AC5CJV2IYvcKXbvkWTo0G6h9+A+0LLzDuknEYHHyp2BxEV7UjKSnRxE1PwGw8yBFbPUuz3sZ8PI7JnfHECSdqp/ixZG8RS+YoTBOzUWeHVFQuPOdEaIUQa4A5QJOUMsF67QngXqDZmu33UsoN5+J+v1jO4PR0UoCI49b52hvfPikIxecVe3m4ypWXYvz4u/4ok1y/ezhZo7E9bXhAP/1kbo/up7+oCK8J9yFsbXFzS8XdbSV6/aUYDDuo7t2Bl10C0tELNDaYzQO0d+xFUUCj0WEytQNaEGYGZAvCckZx881k+lgiKB3on0yOQxqt0osyEcUoeRCAMfIAaWRZNlYHNFJho+YaQGCLiVFkgs7yQnB//0p09j2kiMN8WRhLk884Am1LqfMdyewRW2nGmTBlO8d1v+VI0whGeDlS2dJL0sgr2Grw58tdGi67aQy3XWsks6mP1/fbsmDiINdFTyDJJoTJHs7E2TxDznFfFk2KYvv2KjYda+G+5Fy+KpuOUXctiS7/YobHJvyUJr7pTMZkMPJx81XYJAbwqdNlLJVPkd0UyQ7fuQRUluHf40MRdkQ9NZ81VBK4fRMBtcnke93Ika5BRvX1MjPGjy2dM1iZW47itYSrXHXMrz9O39tvM5g0ht/O6mJVyadoHapZlLQIG60NANKk0F/chk24M5X5RwlLHoVWZ/ODv5YqFydZWVk+Op3uVSAB9Y3rfKIAeSaT6Z60tLSm02U4VxbtG8By4K1Trj8npXz6HN1DpXSYiEZfMXT5JFG0iuuQGEdfQYthG26VD/Bc6Coie3ZQ27ScescWgsMeOmmvV6OisKW+Bv+Kx0hIXY7O3p0Gwx5ySCHd05mu9r14eU5moKiYEtNKxH4NDklJ5OU9gAepuI1Npa09E1BoMeaDETzdp9DRsRcBaDQgMCGEA1L2fdsv656tUR4bmS0HWC+uRd/TBw4Kx0U0l8hvuM74Jr42dcwV64ZEVgDJ4ihL5dMgIJXDlosS7HVujGMHnh6XY+y+gdiqOAwuWxkzOEAE65hp705OsD2gEORmw8xYXzYVNnL/1GD6Xar4sGMEY5JNfFPRyhvOJrQFLdwQVUOa/UeU1bOBkP4AACAASURBVCVzWaoHu4ubmRZ1KdNC4csNJTR8XcP40ZeyIlvS0J+Mo181s91r2VI+FSkFvq09PNL/Hl+WxrGhOYx7r1xLkuYozo5lJMvjODu14x9chrnWnQqbNuratMS6m8jya+G9wVk8NOoo3itWURFahdF7NotdckBewkPJETgRwzdOtbxqepnbB40sibySZTmvkahPJD04HYD+4jZa3ilkcLyWL977B1c/+nsi0i75Eb64KhcCnU73qp+fX6y3t3ebRqO5eCIT/cxQFEU0NzfHNTQ0vApcfbo850RopZS7hRBh56Iule9guIieAaNGx06vCaRrdEP7wnh5TiY18UW8PMehKKMAKHa6hSJDJ/cNG0be2drFvcXNXK2MZOGRJQRF3s3avDd4XvyGBx0bGN37EIkedxN4yUI4CL5jb6W64U3cSKRNZnIk41Z6KP+2MVLS1n5o6FSgRWLGLEErAazDy9aN0aXWgGN7N3pRw3b9BASCkbKIQ2IcE233cB0fk0MKSRwdEludMDFmIANpOyxSpACTqZUN5TOZ6ToFjfFP6KdtI8alkW218SQOtONRtB2/aGcURbBxTx0hsfGMCt6AvYzHvepFbjD9lSMZTuh7bblqsiebWvqpzevFq1dH5zU1PNdSwOpdlTx/Ywob8xv5OqeeEQ4SD1FKniGSwIg6CsNG8c/yx/DqbGBR0pu83Hkn/zLfRnuINxWaYMbW9KILNmFu8SS49yAHMmbhE9uMe0QrIt+DlqpQslMDqLUbSU38CGr4kMR/TaFUs4qCoo1c4lWGzm8xzraPAjBm3q+Rn5hxfGU1qffMIuyya5kYMHHo+dtHeeA1PxabcGeuDvg9Ycmjfug3UuXiJkEV2fOPRqOR3t7eHQ0NDQlnzHOe27BECJEjhFgjhPA4XQYhxEIhRKYQIrO5ufl0WVROYLVQv2utrGUv13I+r9g7tLTnhMWr0dii0zlT5Xw79xbUIRQTaxLCSHe1h2MbSXe15/4AN77UzKM+7GkkliHYBx2qyDiQhd3gOHSrl6Ep30PIZQ9T0/QOpVWvkuM5A1sRSQ9lgMTGxhraQQgk31qukhHUdXuD7EMCEgESWvu9OdoYy7vV8/nA4w6a3YMYLQ8yS37OcRFNmjxIhHKMdVzH8+Jx1onrMAkdCNBonMHu5HDMgzbXs/LoArz9F9GnSaKkU4/epRHRZ8bbowCdbS218QkgBI1t1xBdOYoW8xHujtlKhWEbGsXEVOd+NL72rHcwMjvKmxfmxTHtcg/aZ9/DI/1v8VrWem5Nqeb1/SV8lVtPhN4WV8/1FIrlpIR/yP+EPU1M+WEqS/2o6kphZfYCsg3xbJNjyNKG4e3qQGDpMTzK3IgNKaGw9jLKXb3RdsShaUigrnEKR0eWUdLnyLTw1dze9yZJ8ii19i6EhNzHKH052t3+RFZG0z8wwJfbdtA/MEDfqFh6rl2I88SppAenDw0bG00K24qbMYe7sbOsneDkMUPDxmaTQnmOAfN3LAf6b5aLqVxwNKrI/jhYn/MZ9fR8Cu1LQASQAtQDz5wuk5RytZRytJRytLe3uhH2D8FoUlAa+3g6qAO3ykW0tO45aU2lUVHYbOhgQmsGrxb8kfi6N1AUE5Rthw9uw7Z8O49HhvN64kgu9w/CzTOdzrCXuTHElnsS17JfO0BxhzuV9QXUZH1MkN8d1Hv/lj+1jeEAHoDA3j6MwUHLC5M8ZcBEUIKfsztoYjFrLkEA9j0mtKYeUnwL8dA3ciLG8mFxiXVtLGSJcWzRzOZLcS2jOcCXXEsuKZY+K/0cZjQmdBbx1njT0VdFRZs//b2fUFP/DyJcG2kb9ARHHUY5l0MNKbS7LgP3f7L2YDolvva855LGtu7HmRT9J3CaT3FHHLWtrdyRupnL41yhaR9hPs9SautMZ918Yu0VJno9Q3jtB7hpFYLbvuGdwQ8JaImk3CaPw10R1JU546RTaNcWkN0ci5eTIw5KP/c2fkFnRyeb+q8hr+EmBj4fh7EslWs1brikfoPZN49vfNtIq7mW9SNuYkPZPOq6NqHFRHlvPqaBXuqzppPf9Ds+bPBly979lH88yOtffsBXL7/F09WZ7K7dT2nWQcwmS7SuoWhWu0pZ9E4Wu4u/fakdvgb3THzfjkwqKv8JU6dOHWkwGE6/jOIMzJs3L+z1118/rcF2sXPevI6llI0nPgshXgHWn697qVjYXdzMkrWHWXVrEsmJL+LlOZntRd+GC1R87FmQV8Ga6FGkxQbwRkcWz3dMY1V0Cj4T7icpZCL2iokZLfvBfRqbW7p5qNKFJY5mQgKX83ydJ/53Z9POPzjSlkpAjiNTQwNY2vxPxjuacByMoa2/ELDsrJfdOJLkIIEwFQ61UctxkGDWxNKr+COd6nGlF4DpjjvolR54d/bh7FpHAtlEyFKQWKNAlRBHLuPEPsxoMKEjhxSWicdZqt1NyuAKMDfjpWtm7ngNLzs8xIPyKZqN/njb1GN2uAU7m0SWfzOBWY5HuTxwHI9EHuWTVheCM9sIrQon8s4ymnrfZV58GmHdH+HpkUFrthuOrZJSltLgOAZzdz1ddrYMVvdy++efUjc6CEOSDw+2PEhlny2pDgWMdS3kcOAu8vt0OOh30Vczn6buOB5q38rMA7tgHGTFjSAg9TVq9y0ioD6WA/IQ5bm22Pk7Et7gwPRDpUxx72W3rpIc4cs2mwYucyuirqEIjcaD6gEnIprimTz3V7g2HqG+0Btt512M7BLYHzHxxbr/JWz+VSQGzGFijJ5V89NIC7H8nxoX7jX0OwmJ82TWfYmExHme8bt1tjsyqaicDbt27So59ZqiKEgp0Wr/I/39SXDehFYI4S+lrLeeXgvkfVd+lR/OlChvXr45kSkiGxv3y0Fjy5Qo728D1SuDrPFoIb21Ct2+T7l1zv+QGBgC1Ttp4z32FiYx3ckRPrgN47zXGWxs4P6qY6wIvonFoo+X40cwzTOO9/MlL7QkIfo0LK2qJY0sBnolA9YlPVIEoyjVJPsWIUzg4XkZrV19iMFvLCIr7MFUiIN1PKUPO9aJW2mSHhwWY7lj4ENSOUyuSCFRZlMgEtFhtngUA1oUnuNxxnKAu8U7LJVPMX7AyID171MAYx0O4aysJE5zFBs7E1KCWWcgq+pJEpLHs6sjg/Ytk3nEsJ1Op9sZkz6dy9KDqLftJTBgAfuLduPrcQhZb6J6oBxC9nJ810w+MocBUNZiZG+tnjCTJV7IruQ0ppfmMVDmyeGSWxkw1JLfHoht4Ae49s+gpzsKgJfdp9MzTuEd78sI6Wilet8iehrjKPfMoj14Nz1OGu7Ud+DnFcGhGTk4VXbTGGLCv7WPhjI9HeFdeIT30OWs0O+8m3Fvf83GwR4m9aXQ0uOKd2AvSTOSCU/RY3Cp5Y2CbVy+PpwrFyUxPcmXrQWNrNpVSkqw+9AOQVqdhhFJ+u/8bp3JC11F5fuYPn16RH19ve3AwIBm0aJFjY899pghMDAwMTMzs7Czs1Mzc+bMqNTU1O7c3FynDRs2HE9JSYm/+eabDbt27XL19vYe/OSTT8oCAgJMw+t87LHH/L/++mv3gYEBzejRo7vXrl1bqdFoGDt2bHRaWlr33r17Xbu6urSrVq2qmDVrVrfJZOL+++8P2rdvn4vRaBT33ntv0+OPP274sZ7BuVre8x6QDuiFEDXAn4F0IUQKlo1eKoD7zsW9VM6MrU7DNNs8+OCOIc9kW52G6VEeULoJzCZmfH4XXPc63PA2ARHTCNDZ0u8+m715MClhtsU1+Ma32dmr4z6ZwoogyZUOAyzvceENjcCEliqHaczX1+A0oGfN50ZSZt9EqIcO2qqQ7qF0VgfQ4qKDvo/Qcoyq5gqcNGUAaE1m0PVjFDrWtc9hlE0GnzvdRCYTQIB/Xy0TvddbLFUeZwwHOCTGsZRXSCSDPKKIk7mMFQc4yESQ8Gv5IkaNCSGxmNIagd5tIkntu3B2TqFbzGZTzgFmhm3hTm/Jm4ZvSHCci39KM23hJkLKy0mPyedQ03o2FOu4O+VdarVJyOYwDsk+5lwyh8LPtawfTMfXzQ5PZw3FXVl8rIRTfsmdZPdHkJSdxf6+NrTOjSjdCdQqozD2GDHX2BLqmkYdXcxMa8Cxu5NtA/GYnMtoCPqIj6p+hb/vLiYJb64IPc7xxlD8cq4gw/4YwdH7qe1NxrXZldjWkRR6VbOhzBM/9wF6iyG42ZfPLg3jK783wSMUF3cXrpxiEcNNe/czZeKvqNb3MW1qNJ7hrjy96Rh3TxzB8ptTMQ4aOZZxgJGj0tQlPirnlbVr11b4+vqau7u7RWpqatz8+fPbhqdXVVXZvfbaa+XTpk2rAOjr69OMHj2657XXXqt+7LHH/H/7298GvPXWW1XDyzz++ONNTz/9dD3A3LlzR7z//vtut9xySweAyWQSubm5hR988IHbX/7yl4BZs2YVL1u2TO/m5mbOy8sr7OvrE2PGjIm56qqrOmNiYn4Up4NzMkcrpbxZSukvpbSRUgZJKV+TUt4mpUyUUiZJKa8eZt2qnE+GeyabjHBsIxRvsiwLAow3vM1mt1SMtYfBbMQ40E/R7nWMi76CvSUdGM2WOdL0mHG87NVFfugVbDA6sTTUl3RPF5aV17OytoW3WhzRChtiPIpR+j7l85YAKvq+4fjx49h8s5r9tQ58XR6IlOCsKbOsldW6oui0gCSXFD7zuIVDjlPIFOMAiV9/HY0OfuSSjFFx5krlMzLFOK6S60hmJ2UOV/I8j1MgElnISi5hHxmMI8c6X2tvHwIagYtzEoUt7igSuruOYu7+hEivFhQpQcJUnxuY6DyCGeE7sG+PYEb4Nmx6/sqO3g9I8+viX+WP8Lz4H+r0eq4OasK9fT+yqJlU2y4auwao7T+KQ9A7SNcyDvrHE+bvznFZAOEl+Pr3gFMJTT0KoMPcHUd+XR9a52I6lGe5IngFN9l9SlinAUVjxjSijQPuFezX1NNSOItI3yo22B/mkLmbgOzFlNrXMTJQhzE4lHF2zjR59FB3VMeCTX00OQXg2hfHTM2d+BqL+VP1UnbX7uKjz7+g7OMB1m79jDUFr9Hgc5yX95SyfEcJr+wpxaQoPPXaF3z57P9SeOjQab9G/8aJ75JJdYb6OTNgMovPj9a6DZjM5yyk2D//+U/f6OjouLS0tNiGhgab/Px8++Hp/v7+xmnTpg1tTaLRaLjnnntaARYsWNCSkZHxb3FEN27c6JKUlBQTFRUVt3//fpe8vDyHE2nXX399G8CECRN6ampqbAG2bt3q+uGHH3rFxMTEpaamxra1tekKCgrsT633fKFGhrrQmIwYS7ax02Ms6d4e2ComizACRM38z3fjOeGZDJZ/jB/cZrFgb3wbwiazsyiDBXVNrMnfywwkBUoE8XvuZ11zL7+pD+OjpCYSDzzMuhn/R6nndFZWt7A01JeHgzyxPb6JUGEPWCJKJQa5M2b69XzZFMrH/THcYV7MNMcXeC3kdj71jGbSQCkS2FI5hWkREmHegwS6Ov3JqvcgNPhz6qu6SXE6hH9wPRvtr2a2/Ix+k45XbRazRD7NUvmUZTmPNBHZ8zEPaUqGlvcs5kUmsYdEcRSA/gHLS29Xdw7+2hyyGhNI881DqxQR7gKFraPYXpVKfks0Sye1sqn8MqaN2E2ezZ0kmd5l1HF/bJPCuNRtDGF94KCZick1mi7jBzhfM4u/TprNHz9+m4N14TiLOzB3RwBwvPsQmsh2Or0foksKgg0GWpyPYu4OR+tchrk7CnN3FIdLbiMku4yZe7IIjnPDq3o2hQEb0bqZyHAporEzGr+idAJafOn2dONDt3a8nTOI1zdQWB1PZHAx7hX+yDpPVlxVT7gEWbGJucqV2P3fKiZNd+Swewb9BYOETY5m1qVXU57RSIrXaLoDOhCA0azwyeEaKh2C2eA9E3OujtgxytCOP0aT8m/b9AFnXMOt8vPi67wG10c+zI4ASq9JCez43gLfw/r161127drlkpmZWeTi4qKMHTs2uq+v7yQDz9HR8Tt3vxCnhIrt7e0Vjz76aOjBgwcLRo4cOfjII48E9Pf3D9Vpb28vAXQ6HWaz5YVBSimeeeaZqnnz5nX+0D79N6jRQi40pdvYuXUFCwqq2NnaZRHZj26HD2+3/HMzGSF3HWx9Ega6v7uuE1bHQLflZ9hkq3V7KZhNsOcZ0j+/mTWuTaTHjgfveOIuuZzquPuwm3gFg6lelIb48sWMv/NoTxIrqw0sCfEhwdmB7pLt/P3Adhy6TDwd1M2rscFc4eOGoJJ1mpFElhfTUjealdkL8NAkMa9nJ3f4vkON8Xo+PT6Xkt7xKFJQ3RqGi0sz/r4RVDtdTbiLE64tDQhp8Y5X0GCvM/GAsopRZDGKTLSYEIBODDKKzG/X0FojQZ04P4HEDgA32062VUygujGQgw3TePHITRxpTibW6zjR9k/h7p5Mpv2/eN58FUdaHmRSXi2RDs+Rdexrdu+tZHtBEw9tSOZgzw282LODVXue447YV0jQH6ejNRopdJi97ZFCg1NfLvE9Wwk+WkeH6QhjI19nTMT7uAW9RWrwZrQCaI+iq3mQN++OwRhkIsZkR0L9FCSgaMyUamGfuYNvvDPIUrIo6RdEe9eSUzmK/gNaXF+1YXyVgVvzB4npncgt3EKg2wz2DDiya/Y8Qht8qN/1JeP37EXXcYh3X32O7VXvsSZrMzqthkVTI1izr4IdxwwoQouwDcfxcDfL3s6mtdfIZkMH2481/ZtXMnBWa7hVfvrMSvDrfPaG5NJZCX7nRJDa29u1bm5uZhcXF+XIkSP22dnZTt9XRlEUTngXv/HGG15jx47tGp7e29urAfDz8zN1dHRovvzyy+/1RL788ss7XnrpJe+BgQEBkJOTY9fZ2fmj6Z9q0V5ITEYw9pMemcYal0bSnUZC1QGQCnhGQEAqFH4Fn9xpyd98DBKvAylAq7MIaMWeb6NAFW+Cj+6A8Utg/4sQMxsSfgWlOyzXkdhOfpQZKZdBqbQs6Zn0EOHHXiEoeQrLQp1wq1xCXOxzPNPTg4NTLAU9g9xXUMGVXlF8EeKH6IRHpCtzQ93Zauhk0CeRl8w55PXFsHpvDZCEt1MR1zmsYmP5dPwCb8Yka9haaCAyCfI6wskon46dj2CO+zpm+H9GVXc8R5sjwVdBSliueZQHtTvRmbcziI5McyqjdUewOUVQweIAgGVEeGgtratrCu1dZYR51NHp4UN6USlf2HsxPdIVW9OnbKpIZ135r/m6JJDEIGei7DKpNHWzzOk2BnNMJOqr0IlBFiW/jdH17wz4P8jtlWkE6aJZudeDIkMs44WOvREODI5wwTY7jqkeKXzsdBnXeL1JQ7MPd+mN4HWEr2tSmBW9mVX9fiQZiumOduaL8Pu5bOAdErZ0UB1zGABlQI/GpRCQGMy2zG1PI9eo5Y0mR7xzPImRczk88gWiphZSqA9jl6zAviGP9kgnnAv8qDAfwldCauTlNMR10txuizh8lNvGzMaMmYfe2cMfgo7z7LU3cLhugA25tZR3m/jMaYDyoio2fHWcIn0kL8UEf+s8Z8Vi5bYxOfxylOIO7KM8EOqetz9L7HRaeS4s2RPMmzevY/Xq1d7h4eHx4eHh/cnJyafbvfokHBwclIyMDKennnoqwMvLa/DTTz8tG56u1+vNt956a3NsbGy8t7e36WzqfPjhhw0VFRV2iYmJsVJK4enpObhhw4bSH9K3/wQh5cWznnn06NEyMzPzQjfjx+PYRnj/VpBmAIw2Lux0TSS9NQNbaQJ7b9AK6Dlt+EyIvQaKvoK5q6DoS3DyhczV4J8C9Ue/zRc9G+LngrCxCHTYRIsQ+yZhHDmdncWHSI+dCJgpKPiYuLjrQGfP0+UNvFjVxOIgb8Ltdbx7PI/bClfxdWMqZVNmc1wr0SD5w0Ap5tIqnq+OYBAdWmEiQV9IpzKKcG93GBykd/9u/MdXMjN8G5+VLWJUpC1PyPH8vun/iNJn82nvNXzmfAu3mL6gV+OO37EsJsXsJ4sxPC8eZwnPoEM5KSoUgAkd2dIaLUpYLF8bmyCMgzXsG5zIapsHuc/4PBNs9mPWJqA157GrfAprS36FgoZk71yWpLyClLCudCF2mgrmhG/mq7LphAeMpszGk49sI1geGcDRfet454gfvxkZiF17P/+T4oSuvJM7ut5lStIOS9SqPQVkmGdQE+hNU6+JnqZ25imHOeKezIixDXTttGVfyCT8v6nj9wc+4LmrYVC6c8jxMsLdSik1eXJ1VyJLBuL5pqOaT/3asanLwce5jS67QnoTTTQ1JRI4EMYTbXPY43+MRo0ttrk+BEaVMyIumV3Nmbw9sIYrG2bgOd2ft46/xZ2GiUx7bTs5S27nT9XJmK1/91KAU3gr2DyP2TGehYHX8sAlV580bLy1oJFF72TxztRognbV4zU/Fm2Ux9AQsxBm9tXtY2LAxKEAGSo/LkKILCnl6OHXsrOzK5KTk380z9pzhaOjY2pvb++RC92O/5Ts7Gx9cnJy2OnS1G3yLhQD3XD4XXD0BK0d9DSzzWM0C+L+QnJ3MRF91WDqhcFhL2uOviefG4otonp8E9QchLosy/XuBgCMNq5s80gjuGY3/5+98w6Po7DT/2dmm7RatV313q3eLXdb7mBjsAHjYLoBh9BJINwFLgckuRQDpgdIMBBKIBCMccHdcm+yeu+9111J22d+f6zcwCR3+UFyyfl9Hj/STtvRembf+bb3VfhEgU+4K7IdaoKid0AU2Be0iHXtDjK8dYx3dPDkmUHStG6UoeaJBpdjzjQfHb9o7qELd9DHcMY9kXYvJUE9nTzf+izX1r/OtPECyuVomuUQZEQEIRzNgJPioXFSOip48Mg7dIQtpl03E8/hYuYIfyRQ20qAbZhhuzcKT4mTwkyihCq2iUuZ6lNEn+hPMuXECg2AwEs8SjRNBNN17iMoIZsXhceIFloIoR9wIklGBNwJVrQRI/STrTgOgg+y9pdUlzRi7YumX/LCKLsRrg/HR1WBn/sIC1KzOdV3FQ39E+xoXoxpooPVwRvxcQQi9reRrv0NraZwxnXRNHa2oFMM4tZspGhsCmG2CYIszQz0akmff4aRIQP7jAYsUV/Q2j8XmzOMzdE3Ymt1o3EwhH43AzIyo2odt54YwOkTzPIANzoG4imRQ3DKx5jo2UeQTxfrdp2hxdfKbfsnOOHtiU2np8G3kCHTGELJSfoi7DSr2oj29eN4bRmG+gF8DHn82eZBpfMD7kq/k7uW/pC2UBXzrr+HpDBPZLdKWk21eCeY6A/PQ+oOx3vQgyMNA1gnfJgW7Y8kOzjceZhp4fFkhuvJSgukUZQIyQrkcMPAOc/bTlsRjxx4hGS/ZKK8o77Lu+YyvgGXssnr7e19OCgoaOIfdU5/K37xi18EP/HEEz3/6PP4n6K3t1cbFBT0wqXWXSbavzccNqjfDeWfwvEXYbABxl31sHBLNxljdeQPnULBV/oD1D6w4N+gfg82Qck+wyzCLZ0oTJ1gGfn6+yg92OedeZ64/UJdEW/VFpj1MChVUPkF4XHTyYhKI1/vyTujNraIWnx9fAlyU7Otf4Qr/LyY6elG+Fg7hQ4NDaIXlmYTggxzbFqOjHtSakuk0R7AZmku9slqROCEzMpxDb1KiTNqT8JmJDMmD3PFNH8CvD/A5gHBdOPhNoKXZoRAoZdYRztzxP3EUk+f0Zu33O8nwN7JDMUJAuglhibSKUG84LPxp49omsigGBH7hR80CiTCFCYEeRwRM3FWf/y37KZAyqZMHclds8OY6r+NSO1RNIp0esR72Vg5Qn1XBGl+VUQb1DQNerLU8BEzk69nR30KB5rC+cHMQb6Ug6iICCHKQ0dPjwOrRmJ+3FH07Q6IchCmb6JjIIW4NjXhFgVTOsvw6R6nXA7H7q9jUXs7t1Z+Sl96EIOiioCUASLTTuIzJlKj9aIk+EMkuzfNATdiSTJguPIePqSccb8YFjXexqC2HWniOItKHExoryaoz5PRhp0YYlJwT0pFktIp7HHjtpzZWEeyMCsbMHnmsaWhgD/XbaXK9h5KrwqcUhnygAe67kjsyiJmjG9hl3GIaI94Sr78NU81v4aslLk+ZQ4HG/pYf+BjZHUfK1MzyAzXMzfBnwivMJL9kpkVMgvFN3gmX8Z3i38lov1nJFm4TLT/UNgcEgdq+gjz1bpMuOt3u7o3c26H0W4wdUFgGoz3oUAi1tz+dZIFcFrA1AdB6ewTAliX/DTJY420aMMID4jGOTbIPn0u4V4GFOM9IDsJ14eS0X2AfGEYxVXPQe0OVw04Yw3MfgRCs3DGLKDF6iDKXcOQ3cmOgVEc41amjDeg9Axk+6CJnYNGpjV9xrrOzSyJTGFQ1tMdqMHbQ8Pp4FA0wyY22H9LtRhHgxQMwKgo06uUaFZK3JUfxz1rFxEcHEy3HMfJVh0GezVqNxvGsVi21S/A6qMnQ3UCd7uFQEUPA5pYCoVsZisOE0onoiwRrPBCIV+cRheRCKbrHPme8yqYNCxQKX1wwxe/oKtpIxxr2kHUMWrWpNRTJetIU7zJ2EQuKkUJu3tTKI0KJ1po5EdTXiHB+wyC7gZmpNyAm0rBzOQrCFJ+it75CuXdNozCUZL8opBG3Gkc8qZjNJT+wQxOqVM50ZpBekMPSZp6UscqMasjWNm3k25dOPXz0kgf9cIaX0TqgkqOq4IoHpiLt8WBXHcbTROexFmdpDcaqRatHInbwbAxmkJHCHlD7fhZs3BaqqmMTsLmuAa9HIYo+iBl6HjD9/c01SUT22ElMiIElUcYm4p3cdj4HDsre6i2v8c4dUxVptPaH4ta20qy2ZNuu5VpY1t5dLNMa0wb/qZeMl/YjS0unA8mDlA3VEe0nxeHRjdSNnKIdLuVBWnzUCiVKEQFUd5RlyRZu9PO4c7DhOpC8RzCYgAAIABJREFUL5Pwd4h/JaL9Z8Vlov174Gyk6hMJF3yhHKjpO5dii/HXgWewS7pIF4jt9Cb26acRPliBIiTLRboAgcnnotyLMNYLQ02uyNfSgSw7uSv5aTJGq2kRtaxL+TkZMRnE1n0GMx5EkbCQ2OLXUUwMYVO5s6/6JOHZ12P2CGaDUcvIhIlmpS93V7UhyRCgUbKtf5RuSWK3TUOD2caVBm/iJPjQI4kzUjyLghPJ9fdBGrFy7GAb4YJIW4eCCimaA84MpMlGdlmAYYWMLIBeq8LmsPFeSxFv7ekjSTpBdGQdTnsIkiWFXVIi2/xXEU0T8UpPrAyRbMgj2FpMFgddDx6CHkFux4GSYjmbAGECEQsOlJQwDX96EJEQmGyKmuyMckpjaEYGGbJV8U5xEBH6TkLV9ZRL/ryluAZ9cy8ROiVqdSu1XUoa2iKYpgujzRjCvpYkPDUacqN8qax6kLbWKjzEHeBxMzlx92BXBrFVCkbd349lXKTTEszYFA/OROcR1zxCKoeIXtyB4bhAV/A4uhvGmXmoEhphxek9+LVp2K/xoEXtwUpnOF8qBqiQ9Tg82smUVMS3ddKuUdHuHosaDwzDWkrd3PGWTnA4uZBxtybM/qmMjjtJSYlg5dqFnGrwYHRARYiugWMmGZXOl8YuNbfnzOHGpJX4q2MJtXuwMnA/jT35LAqI5trQbaT2jrM9aIQajxQqkgfRRkazX9vCoTAjsijQYmzBX2tgXdo6lqj8mbPn1xCQRnP7MN4BgYjfQLKvl73OL0/8khS/FEJ1oZdJ9zvCZaL9x+My0f49cDZSDckEv/hzi8N8taSFejM3wd8V0Tbugy8fh8Sr2afPY13QbWSkLSE2NBn6q8E8fGmSvQAKZGIXP0ZkRDYZvUfJj80gqvwdklOWIIdPIzJuBorc22GwGaq3YEu8mo0J9/OE+ywy9Aa+KN7Li0IC28warpHaCNSH80p7P8FqFdmebhSNWUgT7fSipN5sZU6AN8VjFsY8vOiwO3n3WCMOSzVjw26YBu1IiDTLIedIFsBdgGko6UaiYWCcOkcFhcHJzOUkzw68RZ0hHzf3GtTu9UzzPcXU/mrCtTV8wnxGe9QEKPYQLNdMkiwIky5ApcIsXuARouUagumiRMjmBX70tdrthRDdwnAIJqYYBvBS9CPgSjkHy+PM9D2AWtlEhyWXbP8jqBzx/HL1lXQM1NE8Vss1YR/Sbp7OGXM6IeJmHI7riIvK491TMCswCrmjh6ldp5hiNlEVEEx/cgQxzQ00dHvj36sm62QtheZglBORnJLV/DkqnlIhED9LAG4xq6jv1eMVPEpezp9p78vl5FgyE3YDwdp2anyLKIszE2FtRSONs6xzEX0aG97hPbRrOpEFmTCDGyapgrDKRNqHx/mkq4ZxlZGxgKOkJGTwZbGTe+cn8HD+LFJCDcyLSWVRcj7V/cH8oTiEawdDGG2Pw/+YmkH3Jo77LCA1KIEnZj/ACfM+OhxjyJMPLSaLkx/nPUZ8aB6KkEyaTT58sfFXBMbEoQ8J+9rnfrjzML86+SvuTL+Ta+Ou5WjX0cu13O8Il4n2H4/LRPv3gE+ki2RjF14U0SpEgRh/nYtkgTG1LxutQWSO1xF74jkyspaTr7ag+OyuyVqrDPFLQePlamryiQTLV7vtRUi5HsVgNbGFL6JIX41CH0WLNpy7uiQyFBbCR2rZZ1YR3rCFAtmHn7jP5sHIIG6MSyRHKyD7hHOnsofZCdPY0NBJvwTFpgluCzbQbzRTMikMIyDjrxRotDgAmR5ZRgrSMugbSL6+m84uJen+lQyYDciTRBtpcGfKBPwcd+qQaEfCNOJGFM3UNoVR7owlLSsNhfMozvFc6hrjmBexgF3k8aG4mCB3G2mKQlf6Vz47rO5KBfvi8qqYLRxEiRN/wVWjTZeLEQVXJ60rys3Gnz4EJJy45o9V4hgIIAkKFDiJEOvQKfxxMI5RyuVIWwQWaS7KwXcJ0rxJBR2c6phPixjFB27ZdDfGIuCOzvIM+5p8+fCMgFunmTzPHlS9JjBW462fQlONEydKaj2CGBcjacueze+Xr0RtTaRoyhX4DfnRGxbJOqeS2OYvOWiMocGeTYHVA4fNjyVqDx4zJ3LE34JsaWJ+sT/tQZ0YEssJtPpwZcZW7P1zqR6JZEhxDB+vGIyOLvT1oRiDv2T51EySJDceXHo7WRH+BHhpiPY7fw0KgoLqPh92VvYTkR5AX0UT417HGY5dRbtZwZD2U4x9tSzzLsUiT2FNyno6TcPUFK0iLTSQmEBvbD6xFI8omZqbTkxWziUj2lBdKMl+yVwbdy0qherc68u13G8fl4n2H4+/RLSXh+G+LfwVr9izFnUvFu5no8c0Xu0ZQ52wmCXiKGrZDsiQcCUkrnBFx92T3e0jreAb4zqGoGS3YSa20DzXukPPQ/yVUPEZHHmB/O23sslxgvwv1lKw/3XWmYIo0E8jPz6Ht50neSRAjbp5P7rIaTzR9i5Xq0b4U20jlTYnetcZ8EJ9F2esLpm9GNnIq1W/IGa43PV+k5HN2Ymw4TYjt2Z1c2/GJvKC6wBID/VCq1JwEgdPYmY00KVyJklK2hqCsEpu7JNyGO+oAUkiKsCH+QseoDsuhgenXsMacQ8rlZvOvZ+aEFdEK7gU1qpIY6uwiirScBnxTYpWCM5zn/VZneQisimSc881aIEray/iZMjijShNwezsQSUlsb1Gz5XR+whyfIaH+hOO1i/CaX2QeVG5XOvxDEuNtQiOKIq7Rvht6e1UDCQBoAuuwDi1mo1rrqN89iCNTUcQZFftOEg5Rr/ZyX3vPMuirXt58k9/5vYmO3OdGkqyfdjkMcJx3SDBzkGiSobw9Psjvn5N5CyI4knMFPTNoVmYxv7AuSwIDmBGWA0pnn0crMlj95gKX2UMIBOozkGjDwFkYrpltL01SJ+XUvLnbXR/coj3N/yBQ5Xno32bQ2J3ZQ8yUM2XfDH9fXanCwQPTHBLTBbXyPewd7iIdwbVHBtrJtg7iPtyvs/tq6YyYbdRWVVNQXUP9/6xlHpNCC+f2s641fq1a16lUF3kifvV15dxGV/Fe++953PmzJnvVBqxtrZWHR8fn3KpdWvWrIk8+/6hoaFp3d3d34rWxGWi/Ss4S5A26S+qhH3z/jYru0v3s7dviHUVLaRNmcMj48e5r+1DqNkGn90JogrmPuqaq63ZBtPvc4lOTFnuOshICyBSELeWdcnPUGCZjAZSrobara4Z2sTlqK9/iyWBgahlO/l+vmxyHCN/zu2oR1pYcuRx1B9/Dz6+GWn7w/RXvYLx8/s4aR4DUeSsynezLIEoADJNePK7+Du45/jjXKFyPRhnGVtAEIhqaaS2N5iM2CtolZ7kdHcCuZG+VHQaqe4ZwwEcxYFCcLBQPIMKByocLBFPsVQ8zXttc+jsy6V54hDv9J/mh4d+TFn9U1wtvYEb57+0bYKLICQsgMuI/uFJWUaXsfzXkU4JD7MBAXhReOycd+1ZCIgMWxYiibU4BBV1+qtIDvPj9+VrEXUwMPYoFfY1nKgKo7wnlpNlszl5SoVsOck96e8iIeKUXfdfpMGDTLGU62y1zBv2QhyPAiBENLJA1QABoRTd8jDxee78dNo83olRU+PRhSBL9FvrqVcmMrdfwMtzEet2zsbUF8Fze+o4igMHSuy2MAIDnFxdfR8VXcl85OzlC9HE+MBslNoeBAQKaofZN2yhwfP3rNtRzrWe08hcvpa4uhD06g7ubDlNRk/VOW/i/TW97K7u46o0P34+I5coVQ497r10BPpwfWI6oacTybAsocKi4NbUdTgkBw+dfodXTUae2n+KTz75mL6uJl65MYvq0UJ+X/efvHF6+990f1zGZVyIzz//3KesrMz9r2/53eDjjz9uzcnJsXzbx71MtH8FBUMm1lW0uOQRL8R/R2TdYaPgyLusG/BE7iljU1IYV5hKeDwqGJ1kcxHqrIdcAhJBGTDzARBEV1S88D9h9Ttww/tw3Vsw+2HyGz5mk/M0+UnTQZCheqsrAhZElwJUwlKQHBCWh7puO0uOPYH69BsuIkaA9kKY/QiD06+mPMWbZ/M3st2mJcZNdZ6wrK7IUIUrei1WhfDWordIUPsiyhIjogCyTKtbCE4BWroL0Ccv5dZr00jJCmDd3CjmJbi8TmUBInw6eFn9MvPFIuaKpbymeolXVS9iGCrj6fKbeLHj33jfkcvs6GfQSV/p6p9sIZZlJtWftCTFPclMOlDKdpzOyeXyhdufl2bMks/wMJOkzHm9VFmWCHP/Ell2Rb9PjU5F61vAnLBKZgbvotlaSWHnKApdFdqOI/zH6J+ZJVRSPRjPzub5KAU7CsH1ENEyNM6ejnsw11RwfcJO5viXAdAleVFtjmemKZBBPzMzgl4mPsZMRp+NQPcg7ji9m9jmQ/gk2GiLXoRi5DS5qn3M7K7APBmcK3R1aEM/pNfnEE9ri3ml8kZqBTWjbWvwCDzCqHoP1oG5OMeSmOKTR0NiFM+thBdsRhxp8/id/jQe01/nwDXVvK8ZYndFN/e8d4LjlV9wx8xQFsc00Vz3I9aGLcDaeRNz3UVaHQfozivD7LODbN853JF8B7tbdqMyl6Hrf4EJ6TDHAk7w89PHqOgyEq/Lxtp5MwmeF2klIDskzFWDyI6/7QH1Mv51sGjRotiUlJSkuLi4lGeffdYPXKIUZ9e//fbbvtddd13Unj17PPbu3evz5JNPhiUmJiZXVlZqjh075p6RkZGYkJCQvHjx4tj+/n4FQF5e3pQ777wzPDU1NSkmJibl4MGD2iVLlsRGRkamPvjggyFnj/3UU08FxsfHp8THx6c888wzAWeXOxwOrr766uiYmJiUK664IsZkMolnj3vo0CHtV/+G1157TZ+WlpaUmJiYvHbt2kiH4+sqdX8JlyUY/wry9Z5sSo0iX+958YoLRNZt8UspGDKRr/dELV4sxJ5/5D/YNOM/yR8YQC0OwOZ74Lrfw40fuvSHP7kdBhtdpLnqTUi+Go5MpvlDss/LLM58ALWoYInBHz5/Ela+4RrRmX4vtKxxbV+3CzavB6Tz6lCdk+4seXdD+ExQKDEYHaRVj5E+34Me2QdfhUBTjyumjXJX0yI5seNiN2/nIFHSCHJzIzluKk77pAEgB2kJm6jF4raX++vSEQQRWZJwr+nj1tBWjghB2Px0fBaRxjLTVILN7vxBkc39Iw8hO+GQlAECKAZ6uMqQyrXSSQ7Z1aTKStTC5EUsALKAIExKLDLB8MgxLPSAIKAQZWQE7E4BlUJmskSLLDCpjXzew/Ys5MnjajRmECBNLuEhfoN2dAiTTccZOZeeMSsqrxqE2Cp2NKQwan2E7pSFTB09SVD0KIuFQ7xR4kp/3pP+Lr8tvQPRnMDhljkcG0gHQEKkUPSmNVrBUEMYx0bWUTEQjij3MC2ggfdUWVyZ1svKnK0oP6qiw0fAeL2NK/a3M2FQoaoSOC0l4C+tJs9p55AoIevaUXpVorb5IfgWoHTKZLT2c9LdQXnnBDCT+Mhwjtd0szDeweylN1I7OMEXhs8YP9pEflgsKX7VzDRs4rXSdWwaSCLVbx0DVk+W67ew0HSEGpMnMRFzmCNbqBN8+I+jP+VA537mhy4gXDkTi8OL95tCSPObzusHG3llbRYvX30zCK6U9FlFKUvdMIPvV2O4OQn3ZAOX8X8Xf80m7ywWL148vmjRopGrrrpq9I477hgGSEhISN64cWPb8uXLxx5++OGQxx9/PGTTpk3tAGq1WqqoqKj+2c9+FrB69eq406dPVwcEBDiioqLSfvKTn/TW19drPvzwQ8OZM2eqZVkmJycnaeHChSY/Pz9nS0uL2xtvvNGyZMmS8dWrV0dt2LDB/5lnnum91HkVFRW5ffrpp/rCwsIajUYj33zzzRGvv/664f777x/8734Gl4n2b8UFIut7B4zcVdnC71OiWBbgc9E26jXvsKT9FBx53iWZCC4msFmgqxjy1sPJ3wIyVG9xSSoq3Vzbw3nC9I2F4UbwCHBte+p11/59Na5lZ95ykXJgMhh7oLv84vPtKASFO5x4BfG63+O/+G22eOWyraaTO0PPfxG2SE6yFSKp1mp22n3pc/PnPXsQdRMDWIO8CZ2w4TB20G8x0GwK53B5FkpPI44YL7TGrVzpN8Jsv+2U+q3DzzCPuuY6Pu2dzn7fbMyZ/nxZOpMszpAodKGQR/hB+ibau4/ToFaw0f8nPMCzTJVPIQiupqYyIfMi2cWRsW7OkEsGZQSoUhh0FKNQRiLQAoBdUFI2KcmoEhyucFcQJsPeyaj2gv4qFXYSrdVU+qTQRCzbhFU8EPksXp7+dBoeQtk5wD43AVuQO2pzJvvFeSQ0FeGwBKOcGGB7+734CKFkeu0iOeoIpaNTGHbkYbJYGdCpacv0RVUikxh1BUZpmKiRI2h8RzBHzKf+WDA+vxc5HiHzudvN3HN4L+n+KfhnvIb3aQVv2ZfTEjmMW48NbXwDgmMl5o6bcY7F4LSEMnewhB/uK+H3K90o099C84CD1vE6NGEH+bIhhDC3HN4u1qIOFZBlkT3VfSiFJN6vWU/1YDC5cR9zYnQtmd7bWTqlhI2102irDaNFd5g4NxXV5i+QJuvyiyIXYOmxUNNwitsTZvBWmYkf5MexIDGQQ3X93PP+GV6/Oeecmbxbgi+Gm5NwS3Dpvdud9ssyjf8McFgEqrd6kbTCiNLtW9Hn/fWvfx24fft2H4BL2eR9EwYHBxUmk0mxfPnyMYC77757cPXq1TFn169atWoEICMjwxwXF2eOjIy0A4SHh1ubmprUBQUFumXLlo14eXlJAMuXLx8+cOCA5+rVq0eCgoJsS5YsGQe45ZZbBl966aUA4JJEu3PnTs+KigptRkZGEoDFYhEDAgL+RyHtt2X8vgm4CuiTZTl1cpke+BiIwmX8foMsy5d8kvnfjLOp402pUSzx8z6/4gI7OpkJV/D11Z3PbhM1x9WJPPUu8E9wrTtrFOAe6NpT6z+Z4sUlvXgWZzWLhyf1r8/qHndORmpn9wGXecA3oavI9Q8RmyRQYNFQLJgnZR4EcjzdOWMyEzzWTZE2kCJFAkyWgkeUAhMxPizrP8Sy2CQqfTT81uaNJMsoB+fxSnwo9G3Fo/53VBrn8Ur/OqoGkrgxso2dvrFcH+pOlDMMWadhLPgkI/5jbBcXc7fxEGeGlkFwH41C/GQMfd4c4GxT08NsOBeZnjJreFF4jIfYQLajBUkGUWhh8s+ghGxeEh7lAflZsik6T9SCw3XsC1LNkgSiKFCjTuJl4VFkIK//DILdQWdIhuuAKAgf6iW2spGmAR26wDHU1niGxjuYp2qhssKTKrWAMiCAQ6W3UTGQhCyZiXVKhOvKKC3NggE7dRoj9uEuaiJnsDPCl4CGUXrMcXyanMmCWcV4157gv7TlZLTNwFJ0K2mOOuKFGro8+jgYFoVsvBXJGYokuG7ZADmDNruaXy+QqIgtYmLYk9ykNOo4RAjL2X7KC2hmcfI8YsNjaRTC2FM9iENWcqwznmtSXyMgyIdDQjD1rRHsNSopVkYxN+h2KuoFjGG9SEItkR6RtI230Wxs5p3Gdwg2BPAjpw7N7KV8f14saqXIrFg9v1hgYFas/tzlJijFiyLZs6M9G+dvJD88/5uv08v4x6J6qxeb74kFGklb/Z3Z5F1ofWc2m/8m79uzdniiKKLRaM59/YqiiMPh+IvH/Kr13ldfXwhZloXVq1cPvvrqq51/y3nCt1ejfQe44ivL/g3YJ8tyPLBv8vU/Hb4xdXwBFvt58XZaNIv9vC69gUYHc38MJ9+AQ89B+ccuYgUwTz5ETXzT7Ow3jEEoJ8sI4l/xq/UKP//79Pvhhj9Q4NSxbsAL51ArACeGjRSZzICM08N5numAyIl2Wqx2EAR2BMzlQZM/CuvHzO7exfflF2lzdFDePUCpyZMa00J2e91EaX8aKWEG3mvz5VFnF1OCU8kJqOD9LZXooheyTbyOlc4aZnj9DjdfH14RH+VL4RpWyJ8xx8vz3ANLGpUuP1q5BGQZESXpFPOwvIEMSnAyQomQixMlIGBBw1FmI+Ei7LNEXUbmOcWoCx+HJFHJGXJJopxlQ58wpbmQ9YaNjPZ7415dhrKkH69RG91OT5p6PNHFOinzCGFY00iX5EX5uBd+yi4ezdzJmvRPkAUBp6wk2iFyo2c992e8xc3BDSxK8CeAIRao61lj3sbDPMv9/UXM8G5ki2UNn525m5qOBZg6b+SIxZ/IkS6m91WS5daOYcgDpY+Cq4YSiHEIRGrLSA/WoOlvZGn/Abq0EUgCxEqnyQrTYumfS211BsHBTSh0Feyp6iXTbxa/WJlJjJ8HCsHBipgvWRrYQP9gCynNR3jQ/QiLvRzoHRPUS2+h9jtCu6WWKM8oOsY7uDv9btanref2tNsJ6ukm6L82UfjJDk40uTJnbS1N1B7bRVvLRSYrF2FWyCw2zt/IrJBZf/l6vYx/LJJWGFn1eiNJK75TmzyDwWAvKipyczqdbNmy5ZzNnU6nc561rzMYDE4vLy/nzp07dQBvvfWWYcaMGX/FK/Q85s+fP7Zjxw4fk8kkGo1GcceOHb7z5883AXR3d6v37t3rAfDBBx/oZ86c+Y3HveKKK4zbtm3z7ezsVAL09vYq6urq/kdG4d8K0cqyfAgY+sria4B3J39/F1j5bbzX3xtqUWSJn/dFtdevdiJfapuvoXLLZDpYgrov/wKxfhXOry/SBULGDbiGQm2u136JXyHdSYI2tru2Q3BF2AlLyU+ZyyY/I2p9JADlE7ZJ+hHoE0IvIFqJWK2Ss7nWRUozMjBkjGCV4EGhah3dQTF8MtrBG/okmjMDefP2bJanBZORHYg5w58DRPPm/j+hNj5Bhn8xvf3buVurIsPfgQMFgV3l3G3+nB9IzzPS40bdiJ4iOReHrESFmWyhEKXgAEFAwvUTwaVkvJnrzxEpyGxlFaeZSQK1ZAilJFPOCjaTQBWF5HGaPByC6lzquIxMXhIe462Ju4iz1XCt14d02ey02CWwhKLotzNuk7D7a+lCh9lhRUbARzeFML2W01Oy2bJkLQN+JkAmwNMNheDAO6SYMk8zb5bdQlXXCAV13RwcqUbhvYe57+8ipEVBo7eda3N+x/ci95HamkGITYtzLJlUv3oWLdhLzzVKpFsmGA+cg4fRh1prHRp9FfMkM2pnKcqwRHYGLqVFmEFSxzUsLA5A2dpHvGIAjeEYJu+3cQ/7AJWuji9KOvntwUaaBsZJ9avmyuh97DUp6ZKNPB71EvH+NQyNRxESHUz56CHsE2HIMrSa2sgPXMO65PWoFCpS/VJJW/wEv5i2lqAVQcyIdZVJYmNjWbNmDbGxseevWodEc9kAzslmqMujPf8kULrJpK0e/bbSxtddd92ow+EQYmJiUh577LHQs5Z2Tz/9dOc111wTl52dnRgYGHhOpPymm24aeumll4KSkpKSKysrNW+//Xbz448/HpaQkJBcVlbm/qtf/erSqjSXwOzZsyfWrl07mJ2dnZSTk5N0yy239M+aNcsMEBUVZXn55ZcDYmJiUkZGRpSPPvroN34h5+TkWJ588snOhQsXJiQkJCQvWLAgob29/X90IX9rNnmCIEQB2y5IHY/Isuwz+bsADJ99/ZX91gPrASIiInJaW1u/lfP5m+CwuZqczvq7fgN29w6yrqqNTckRLAn8bzZ6fHyrqwZ7KfhETY7wTCJqLrbWYxTo81yWeSot2C58wJxMVOetd6WDO85wicQ1eIZA/k9A44Gtp4KC6pPkJ01DHZKFLW4JXw6Ps7lnmJ1DJpSAA/AEzvdXy0SoFLTZXTHi0v4j7PafhSDLLPaysdfkhnL8JIZhDV2hmVwhb8FnTMZ4SsnylTfx3sgEhSoHdw3Vsr7jQTaGruZD39vJNh2jyHMmaz2b+ONYLA8ImxGd9bwg/JgVbGYrK3nM/CvS3CZniW1eyBojyFBELi8Kj7FM/pztwiquYjPX8QlKHJjR8DvupZDpPMQGAF7kMXI5wWlmAPCQ9BtyBFca2oGSzVzPVmEVK+TNrOJTlDioH83gGe8niWsuoZUo7NE+JDQX8W/Rz1FGBkdKsyiRc7Fn6lF3NvJD/RC6cYnnSvy5ImYXy2L2IctQWp5JRlo5r5auAyTuzXibuoZYEuIaObl/GiNRbiyNOcDxhiV80LIISdeE0hTBD1UfMXeijD+G5tM7EMzTNe8yUOPJy7NuxukxwEG3GdgD9CwyOqm399Cj6SJiUMNVQe4o2uOoj5doDz6IXhHFQH88Je3jROnVtNtK8LNHM9exl/1+4PA9Qoo9gWlefXxoNjIzIp9kN/BV382BjjPsqezFMZbIa2vzqBo9yh+afs6vpv2SwX0lbHT/mGcXvUB+eP4l66/NZQPsfKOcpesT8QytwqCfg3iJ7Isk2RgcOvyN6y/jv4d/JZu8f1b8JZu8v0szlCzLsiAIl2R0WZbfBN4Elx/t3+N8vgbrGBx9AfxTYPPdrianKVd+I/HmD59iU+Wr5AffB4GuOq1Nki7deXwWK16A4WboKTu/LHo+BKXDyVdh9g/BPxn6q8A/mQKTg3XJz7Cp+hmWDBz6ysEmP6bKL2B8ciQmOOu8yAWA0sOlnVzwX3DnLgrsnqxLuYpNlU+Sf+xlNl75GS+NeXJzsC8aAayTh8zz1dEyYaHR6gCESZKFHJ07S92nsGsCQgQ7u0xuLNPrCEZHoUOgS5YZH/dlp24ObwY9ha3eH7FvmAenp7Fu/gzKCxNZKO5hdFhHqkc4c9lAts2Ev+xJulSCgMw1A28x381IhuO/mNbtJNhpYkDU0JdoRJDBLqlJF0t4SN6AbfLSjaYRARE7SqrkNO6UXmO2eIgkZylKBVwlbOYLXEQaQwMZwnmfXiUOVvEpTklgi3gtY2Y3MkdgqyBSAAAgAElEQVRP01CTRGJEIYujCnhJ/BFXS5+hZJhnRx5hmVhPmD4Phk5RUeuHVvsqxfU3M60hjScW7CLQZx8yrlHkmT2lfDG0iApHEsnBbpwZreGknEn/0QMMOgNwFI6w11/Jorg9aHwb+MTcw5QT+cw8WMd787L4tH8pyUInnfXe7IiZQXZjMbO6K4l9cgEvBetJKe0h1NjEccNJouzTuWviOXq9r+Hfx0SsPYMccRjB2s9KDzu7xAHcww4Rc2Iutx48QlveTRTGx3JsLAbvaSPMCqiks28vIf4pLI/rY0XqzRS6tTBqUDJYU8jvautQhcvoSmqIfO1DXnpyPemjycj+Fo6WvMojde9fVH/1i3PDsagFpd845eU/Ii3tNfz9Fn7tthgcOkx5+b3n1ssOCUvd8GVz+cv4l8J3SbS9giAEy7LcLQhCMPAN7uX/C7D/F3DyNRdZrfqdq3mpait0nIbjr8DqdyF5BTZJYs+AEcFnKosW3Yc6zvXFYZMkNjZ18VJ7P29/U5Sr1cMdX8IH17kcdCKmw/feB4UaW+QMCnzzyO89hPrICxC3kHy1nU0Nz5E/eAxEpWs+9iuwTQxQYJjpinrNF/SZaf3Pp6ZNXfC7xcy0jvHA9OfIHSnn1zNf4dUxT8LVCt7tdu2nAuzAvuEx7gwx0Ng1CH0TEKBlqd6TjUnhPH2oHUGETllDMB18ORSGTCp4y6Q4x7mp/SBHk+bSMGUp03RNrA/aSvlEOpXVo0iKDlTADSEqYsND+LQOHNZG8hQ6nE5Xo1K25y58NaCXQdYncaBtFbKjmk4hmAyhBEmxFJW8lVRTE5LnOFdKu0gTShGxUTIZ6T4obiCXQpzKJESqWSV/SpzQQJpQgiBDKZMdydgBARV24oRGBOCA+zJGlLFUOT3IHK0kSygmreUMWucAE9EGKsWpxEptpLKVVWFb2dl+N1b3NI5JfyAiYwlx3psREGgwT8dcbyJ9cQXa3jjSR3aDJQiFt53TPvkMufvRGJ6CT/VxMm3HKB8MZ6pfE6Od2Xzqlc9/zYPqqQfxHu7mVOZcNvkYCTpVw5zGCqqnTCUrR83z5UaSd36EaWEWDYPXkjoQwzuekaxQRBNhHCOiS0NJ8G4k60cog8ZRemmZ4Xc9nXnjKBb/DKlLj9Q5Rla4D/mhqTQ6+6nwXMFGrmNo9z5+lBRDxKEuBjOdJBfpmOYJHt6PkLnoemT/TCL9khn6sI6qqbXklf+SjUv+/aL66zu1b/Om8U3ovZPvpb2GQT/nkreeQT+HtAvWXx4Luox/RXyXRPsFcBvwq8mf35A3/V+AlsOun93FrjGY/kpX0xIyNkFFgdWN/MmIdX1lCzLwTtpMlkxGuQVDJl5u7+fB1vfJD150Lsq95Pt0FEJ4HrSdcnUJJ6+gwG8m6yqa2dS8lSVI0LAHNbDk7H4yruYnx8WypQX6PFfUW/VTlgweO7/igvqvJMCgZoiTOT/nRSGR+oUfs83qaqRqt7nqvwJwY7AvAvBu9zCtFisisCTCwC6LGT96eaVFxZ8U/lzr6GNAE8xBZxgCAutC9JSazNwaHMKi0Lt5XjGMT/srTEzYqFTfykbnCu6zPI8ab1f3r/kjDgyGu7qJhY1kO0+cO4coDXSP+RPi0c+Is4qA0GrqjRm8KDzGw4rtuDeeJDES1J5DnCaPL8WlhNprmKM8SrJUy0PiBmKdJchKUFCNXVZSRibpsms86Iycy0viYzwkbyCHQhyCkiI5Gzsqlsmf00swhaoZTMmsp7J4Crua8ulo8WZFdDexHMQ8EUR3vY7UuFDXf4ujiZV+x+kaWIxFPYAowGh7JkNfxnFNxUdYUzXEzmtneuJO9lRfx4mSTNLtg4QGlbNc3oFWZyPZYKf2qBaNu0hnfSoKPYQZ7JR2rmF8zJ+VR0/yiDmf30QmcmTMSGFmHOx9jye67kKRMx3DcCIZVLPFw8yUHIFYN0/qxj5msNmL7M7FpFY08868Km6aehM9Riet4pe8qfPm1ityEY53cKZyCKt5E52GMzhFyBhqZfWmEl6/5ShtoZ7ckH4TtY5iymyfMla5lhVxI7hFOcloKKNrsYL72n7LhiX/Tn7uA3BB/fXOlDtxSk7ifRPx8Z2LKF66pCWK6osi3a+OBV3GZfwr4Nsa7/kjkA/4CYLQAfwnLoL9kyAIdwKtwA3fxnt9q7COweHnLhbtbz/mSu/OfABkKDDMZN2oPw80dXGfpZg3vd0QQrLOdSHbJAmHJPNGUjjzghZR4JvHTIeDYyPj57Y5l1KOXQhr3ge7GTruAskOVVvJl+GN4SLM44Ps8JvDosHjqGVXBGsTlK6odfAYao+g86liIH/oFJuqfkr+0KnJJZOVVs9QMLk60Qd91RSn6Dmi8kV2wDarFm9RZPQCSckENyV/6B4mRu1qoNo3NMb3w/w4PTqObJH5YEgDDCIM2fCLiGNpuC9rBRlZclDZfIoiayhnTGYaPXTkaELYVHYjt6SWY3PUgLCCQd3VfDwey8Pyb8imkLiJ7TzMPlc3MeDmNgWLpRZ3t0T8aaBIsRyno59MiljUdYIRj5dYbnNg8ShjCA0XzlK5q+zIeOKuMJEjFyJfcEWXC5m8yGM8zAukcRpZELlffo50SlzNVPL1bBGu5ewBfyA9TwhdIBhZnNLN1MASsgNKCfTopac1gkKrimkDVobCM3m17QrKrEtpKQ0nwNpPqpuO3iI9cmcUV5X/mS3TFAwYUomtWEbluBeRzbMp821hQu5GjElij6mbVe4JOKimIm4qMYGNxIgthAx3sWTeXuYX+/PlQDYrztRjlQ4RahCZa9Wx1DKHlyUHH/Em15wS6Js2zrvuEjahgj7rHykYjkChbcE7LR/fNAsf+rSRpFhHd7+N2aE3IEkCBlU4Pzn2GAqHzHJbLnGNN7JbMU6LbyXd3iW8dYOefeGe3B2fywzJzsGho/ws43vUxEeBtor33n6UgM8kEl7cyIYFz7oi2a80OWnVWjIDMv/bIz0X1movR7KX8a+Gb6vr+EZZloNlWVbJshwmy/JbsiwPyrK8UJbleFmWF8my/NWu5H8obJLE7qMfYjv6EpKxjT6Dml6DGqm7COKXYhtsYnfdGXJLfssyHw0vtvVx7MBvWbztJpS95+usBUMm1le14kTBw45Ebq9q5/mWXm4vb2bvgHFyDreZgtJ9LuWm2IWQeJUrHd1TDp/cBn++k4rAmdyb/FPuSnqKAn3e+ePr81iX9FPXsvEeCMk5t06t0LJk8Bjqc5XtyfSy6fy4l0GMZrRtCn+wxSAgk61zv4hkAbqsrv3cVUri3FxfmB0WO2dMZnyVCgREQED2VfPGmJHvV7diLy8jpOxlHBMfI8sSyDKvjmlxSi2snx2Lu1hEllzEI9KvWDj2FM/4niRb4Tovm7mCLArPiVCYLbWTZ2KhnEyed97Gi8KjlJBNY5wfUxVH6VadoMUZ5Jr7lSFLKOIRfkM6pZQyBQsaisjBImtcXcsoScNVz02TT1NOJi/zIxRIKHFQRhZbxVXkyCcAmavkzeQJhcRRz1b9rZwMyueAPR+9boQj5oV0aQwMJ+aSHFFMX+dH9CstmDNC8NJ7cX3uVqwGFcmJs5j1wHQKb3+IqsUr6MmtZJuhgc8GcqmK34cYvJkF6ib03olU+/yIeo9YDnRcyZagq9ldtYyUwZP00M3wGRFNVj+Jnq3UXB1O01UZpD/8b+yKsWI+9Tozm3uRwqfiPvVO3tXaUER8yBWJ/jw6MR+dupPVzu9x4kQ+B0d8mMOj3GidSsCBTH78aR0R4nW8d7wLWZbJbJa4a3chjbq3aPepcTWbK1XsmRLFSOBDNDn0HPTNY33KzyjzyebdhmcoHyjlxtt+g//zz1Pon8TM4LmX7CS2O+04JAcb5m04l1L+S7rhZ2u1g0OHv/mmvYzL+CfF/0mbPEmysbnpMPcaY8iw9eKtaqU8xZM+Pw1eY060HTXsw487k59GOdbBB+okruw/TGREOp8l/YD/MPlidDh4v2sQg0qBEoFy0wQ7h0zIQI6nliLTBCsCfFho8CLDWE3+F2tRVH6GLSSLfWIw4WOtKHY+DjMfYF/WI/xk3I/vt33MdMUY17d8dC6iDbT2IwhwXe9u1EGpFzc8SZPi+0Hp4HSeTy0HpYNKi806xn7PdPJ6i2kPm8uDiUmIojg5M3seZ9Wa++1Ohh0SD0QEkOutpX7MQpfNQay7hmGHk+iBLqbK4zSrdGj37cW7r5zy8AXUCGEgwAO6cW5On4HX4E66JkopJ4s0oRSNYMfHfBzkMZD0SLL5vPKwAHZZSYmQja+jnkiNBpvTRD1JTOMYYWILJimUSjmfMK9KkGREweWOEyJ0UUoWL/AYPXIQnwnfQ5bhPfFOYuggRG51edTKEkpJoJForhS+wA2by15PbmKecxdqwcnVbEaNHX/6aJOjOSNOp0SZS7UlkT3uVzJVd5qeQQ0pY364KepJOTaCSQxlw8qrKa6wUWftITRwN0Mj+3i/LxHbmJr1sYUUjyQxLWKcFfF/oHwwG5NiGvMTp+AzUc1S5VPEeNXjVe2BoS6Q0x7jTLcNUdwTRkKZJzhMRM6tpKNsAJ/yPj6RY/CijrQT5fgszKIi1B0FWvyCQxj4fJzvbd7CspC1zBiYTa0sk2wfZZnVj77eBraZ21m8NJfUUG/mxcQhirBs1vc47d3H1rBKRFFkuimdUGsAfWIVXlI/Td1/Yl5QInHuAp19W2kxNlI+UM7y+BV0u6Vyzx9LSAv1JsZf97V77HDnYX5U8COWxSwj1sc19rNv0Mi6ihYyPLXEai8WB3J3C8PTKw2Dfg6CcNlC73+KyzZ5/3hc9qP9CgYGCxiuu4+5bWVkmk9RKmSSMtBBUL8FhyIXj/F2IizdZI7VcZ04iDN5Je8TwnYxhNMON2SgyGSmfsLC3qEx6s1WmiznzQVuCdWzXO/JlqZa7Ao3VF5BxERlo0hZxT79dNZVtZGhshJb9ylMW0+4YCfTVE1geCb/KSSSbaom1twOQEHcWp4Iu9W1zNsPhhpctnmWC5qfxnpcilNjk2nlsV6wjLLPMJ11iT+lwz2IrboMItzUHBk20f8Vofcp7kqGHRLfD/VjXagfx4ZGeKV9gFGnhAyMOJwsN3hyR38FCV0fsd1/HlUxCeyOnMtDiTkEiv18Pzyc25xNqIcb0cZfS9GwD087VhMlNxJMF94+M7Fa2/EZHMWmVZwjWkGAUrJ5UXiMsT4l6W4HmUIN7mNGcqVK1MoJSsnkZcVdRMtNhApdWCU120xXEqdpIpAeJEQOCItZJn1OpNDKDOEoGRQiI1BCDgFiH++I6ygTsuknAI1sJ0joIUjoYYewkm3CKqJoopdgAukhUyyiQ4oim1OcVs0mpLeBFI9q9mivJ1TbweLgzxn292VPy1T6JwRum+eBXvotnRM5fFS9gACHgsKhKUSHTSMgeQkabTtB0ikKu+Zwuj+cI+XtTN21FzSxWIs9UAxMZ9zQxay5fgTEnWZEfxP9DT6MjQ1jbdMS4kzB7cQR3NxGMQsinTo3NsQdI0yKQLl/G8XKEiKnL6KhQ0P6sW38OamNOvTkD4ayTVvDLuMApwMTmRrnxy92VNAub6dibAuxfnH8YXQP2UPzSBGieLT9Juaasmlwa6VNOI2ATMtIE4eaP6TV2MTC8IX8IPMHzAubR6RBR1qoN3MT/M/53F6IS3nPhrupyfDUkq/3RCEIOB12mosL8Q4IRKFQ46GNuSTJ2hwSB2r6CPPVXvK9LuN/L9HW1taqZ8yYkfjggw9eNKe6Zs2ayJiYGGtISMhflDJ86aWXDK+++qr/qlWr/r9Vqr5r/CWi/T+jdXzh+I1BP4cs+zRk03beTZrPi+KP2VT5H+QPnWKfn4YFohK17HA1GOX9gCy9L/SOgSxP6txPFglleVL84OKbv9xkpmegnR1Wd3bUdYIg8GBEDo9GB/0/9s48vo36zvvvGcmSbEm2LFm25VO+7zOOkzixyU0CISHlPtpy96Dd0PLAtqW7FLZl21K6lB5cLXSBFgKBQBJyQULi3Inj2El83/chy7duaeb5Q04gQPu89tluuy18/tHL85v5zW9kzXzme32+LAVeAJaO9Qbdx4DyzVspiVShF1N4QTZR4e1nr6mCpe5ulna8xguZa1maMQ+6DgRPMPEpCjwX6qHjSiGhDGRYOtHHs5PbcETGI40dpDOknEb/JxpT0OYK/tbLDTrOTDvZPe4AYI08QEpSMb/ps7HLPsP6yvX0NEZdFPm/J86Ay9nM/cIY27sO4j3wH0yFC5hW/ZaN5Xfhb/sAU38dkgzTE80gwqRJxQXV4Qu6GIXSae4THycvug0AfSCBK2LmYdGbGBp+hXkc42t+yFWc4xTldCrS2GnYSLI8TCk1XM/7JEpj9E2F83TkfXyDJ6inmAAivxTu5ypxHzcHXmQ6YKBYruFJxQPcL/2GgOhgu7CRy9nOTq6iTchkg7wVi2eQc+pCEuROFtnOYnf4GK02khw/RUHuSn4xruC2uN+Sq3Cw8/wQFebDxCrAojnN8ph40qN3kNT9Tfb7Ejg54wS5nC8Gvs5ZWzxl6b18u7qWiJZjKKYKab/8JlK9LvoXZnLFkit5d3AlTws61sf+gbRuAbuYT8GKEuL6t+FPLiekupa40BRse2I5u0bDZImNrLz1/HDlDRxLX0708FXMS4bSo9Fkt07zXswxSpav454eP4VlFsTTB/ijbxd5EVdzZ96dSA1KNtiyabI6OZU2zD7XLmwxs+AEq95K10wXxeZi6m31iKJIVfyHruILusYX6mjLY8o5OXLyYj3tx+OyF4RdLqC7vpZtTzzG+vu/R9q8BX/y3v00LeXP8feNzZs3f6pggt/vR6n8x6Olz4xFu290nDsauilSS6Sf/jValw9F91kGhQSuGdjPivETHDCWc1fOwxTLk6QHpsA7i3ewjk7zPOKVAqd86uBkF8j1EpKVEQn2Rw04J5lRRTDiDbB67DBd2iROTjkpDg8jUxtK2sBBFG98GQquhYR5jHW/zrnMELQ2O6OmKrp8EnflPkKCv5FhMYZlI4dRNb/9oc7xx+AVlOxTp5Co1aEYOQfhCVD/KorxNrozv8BXlAtp1yazLCaG2tlgq0WRDyUuZCBJpeQ7abG81jFKV/8ki5UjPFG2AP9oE16NiXaXlxWReqoDfro8AnfYNpOjnub/2JMYmdjPr1iHKl5EiOlCDvjQm5cxSiTxjm5c/k4QnBdVnT7+biIKEMsgCjz4ZCX1PalE6d7COVuH4AlDFN1E+8doUOTzlPAALeRQoWikklEaZSPRdJEsdJAeCmkz3Qz5NLyg+gblHMMkzPCuvAoVfo4pKlksHmKhdIpCxXFiAgOkCp00k8c5oRSLPECtsIAFisOYGWWHsJFZr8xgXDrrWz5gusnPibgo6g0ZDLrTOG0oYL5Bg6LrEIKo51x3Fp2ylaauYt6Z8jMe8izZUhF3DQ2xULuA8127iJr6I8v3dSNVXo8u41qmxt2kyjGcbnsLr1VH3KEuLN5hhPPvE6KOwhWbQFR0PE3GFOSltyIrU0mMXk5m2ynSVBrsOStYO2Kkt34YtzmSUWM8qd44at/tJWl5AhPWCEoHe/G/vBk8WkrHUjG5MvjKDbfyavvLJCclcqi/mmXDeQz1a8muLOaB1fdRFF3EvUX3olQo+e7879I328d7Pe/RM9PD8sTlF61Uh8/DA7Vv8FzNoyBI/PjEj8mNysUaYf3036pf4r2zvQx+sI3sikriMnOwFpUSkCUODRwiXhd/ce4LSIgM+7PW8+f432vR2u12xUsvvWTav3+/7qGHHorftWuXfsOGDVOVlZWZWVlZruTkZF9YWFhJd3e38oEHHkjIzs52vfvuu/obb7wx7Xe/+53J4/EICoWCv3eL9jNDtIn9Byk6/hOW9ryNcH4zQ4KNZ4zX8KPEe/mCbT+Zzh4S3UMUzbaydKYBhWMEFCr2GBdyp2E95Z3vMC82iZqAhsQQBQpBxi1f2kpABmII0CEpGfYFsIh+vtT9GtbEQspjE7neEhkUszAkQ0w+BDyw+7uEDrWhnw1QJ8znzpRNrLMdYIXnGF0Jar4f832KhquDrmRVePCYC1AbIGkR+8RY7sh9lCLbSdLMcZB/Hd7WPewzLaRMnqQrMp92Sc3N4iCtsp7JgIQsfUQbRBCQZZmzMy72zjiQdSp6QyI4PdzN824DHW4fJT2t2KbH2E0kq8M9PB5nIGe8hcipNykNO0KYY4qZQSeZhm6mvB3U9bi4d9xCaecOwsJtQStWvRGt7MIlz1LHPMzCKCLSRfINC8vmdGARP4/8KspADJbZcTRhI6imDKT3jqKMiEL02EgPaWW/XEXPBGwPvRar3IlFGETBGIVTDcQa+kkROikUeyngBKl0sEQ4SLowTFagmxRFIwISEkpGhVgqffvpDaSxxreL0yHlePw6ZsRQhoVE3KE6ym21jLktDKjNLJg+iyIaytXvkT7awoakUGYiG/j3sO8y6wjh9pSn2etfSVJLO/1RC+iJL2axUYs0PkzMid3IWZcTseQqfqo9Ql1kHWmWABqVSMqbW2gf8NHQcJx5ew5S2jOJVFxIVHomTfv2MhKi54P6fhoGp6lo2MZBhUBO7QFcrTPM6/cRp8zj/fYm/v3MKMv9vRSsLmKb28Wzx0/QxHtIpgqs8UY8+lB6Ogw0cJLaD36JOimZorLFONRm4iJnKF8xn8GmBorSFxCqDmOBZQGaEA1+v8T+3n24hlxYoiz0zfYRr4vn1+0ned4ey9q4DB4svJkCc8El7uKP44PmUV781XNQ9z6iUknusjUcbLXT46rh/oPfvoSkL7iWjbGxpMeEoxAFvJLEPvs0iRoVij8jBP9Zw/9mov3hD38Y/8tf/rLnqaeeGnjnnXciWltbVe3t7ZrVq1dPJycn+77//e/Hf+1rXxt98cUX+0JCQuTbbrst5eTJk82bNm2y/fSnP42Njo72fU60f0H8jxGt34tirI00jYji/BuMGVW8nLWQpwxf5Z/6/sg1I3s5YCzH6pshc7YVhS+oXetF4M3olZyMKKAmIh9zRBRtLi/TErhlPnTXfiSzJ02rIZ9ZxmUVY7KCveYlnPZrqJ12Mi9CG0wCERVga4Utt8P0AAKgdQVIdI2SMx1gle8M+bY60hyDLLA1sWz8JApNFCiU4HNcvCyv5GefcSEVQ/spdfWy1Kgl0HWEfVEVtOXfxl2G9XS7PLyrCXbG8Q7UU6cJ9kRWSgKSAAZJwC+CS+aSODPIDBLKSoZZHZfEmrEmbm/8Lv0Z63mipAz9RBfKXd8hx5hHjUPPQp2FdONOQh2ZDI/EUDK8F7sphGsTUtGJEcz4urCoYpB1ERx3RfGk8AApdGJhCKVgoUbOItLfRAxtSC4FW1WrMU4NY5pU4tVezayljrjzN3CgNQ+dqpqqSEhRH2H1VDU5mnpEJM46IbzHg0NvwKrqRoGDMMFE9HAT6BSMYMTqHACVB8mhpF5Vwi+EB1EJPo4qKrmpfR9nTEV0KK0MC3EX/7G64WlqCkpxTIkMqQ20J6RRSzkrw/YSp84gzBOL5Ezg3LkA54RiGq0l3H50H9Ghg8jaWJaZM9j21h9oyunkUOhltIguBvV7KJ1Qc9vkm4zkrebdwQROB8JIsSbRe9V1WIpzqWtvYUhSEB9hJuH0CRLSi5nIL8WanMKWjAUMzXhY232Cw6FafFmZnEyM5guBAbKf+RHHDRbePufj6oUlqDQmPPWjpO45TtZV87FUFTB0upWrXz9BR8ENmE1FPP/Cmyx9/SeMRoSx85UXOCk1UZS58KKbuHMwlDPH/SyZjUNwzvLD9p+QY85lQ9IC1P5evpO7Cq0qFGuE9VNJNuCX6DlvJzfdiCElHWuUjgVXX0t1+wRffeU0a7JyWZddfglJd52pYdsTjxGTmo4xLgH48wlVn+VY7l+KaD0Bj7C3e29EUniSVyn+9124drtdsWXLlsinn366H0Cj0QS2bNkS6fF4xAtE+8Mf/jBuy5YtnaIosn379vCZmRnx7rvvHlcqldhsNtFutyv/3on2H88Z/nH4vVD9Uzj0c1i8CeLnYxo8xfVNR/HoXiV7toNq43zuyXmYF5oeZan9KLtMS2jQpZMfEuBpy818XTVOlxDG7nHhI3HZj+LDDWcdXiDsE2NroyI+2QHoEp1pJVKgkJLhjUjhY4hyH3F2J3ExsyD7wT2KV1DyflQlsgyrxo8FS3/i7+SbAQ3f6nkJ1WiAvSXf4g5hHs8N7eLrE9P8OunmuWCowBnzXNmQDH5FMFI6qfjYegSB68wGWh1O6p0ezioTeH9okoeijNwhf5dadyildY2kTA2wQlByOP1WHpqO4bcRI5QefpHfSen8qvA2FgcmqCaSNEHLl1WvMeASGHIfBDcUCkq+J24nV6EmI/Vx6pnHk62j3Cc/Tqm/mQ3qN0iV2yg0B+O778ws4WpByauKGRxRTcwzLqVpcopt4d+ixHOSLw9pMFiO4ZGvYjbzFPrQIZBBksEt2Jgy6OiggF/wAN8Me4KwWQXZ2pOstJ0g1/4vDPg1jFtcvJd1OyOigZCAB59CjTbgxqHU4LXmcnPTOeZnlqCLbeLszBPs6VqGNu4K3m+NRtvZgajrQpJCmRyMJcx1Btc8E6tL9tBWV8Jkl4P7J/fxWuwmziQV01o3QszsHYSfP8DBZQ8i9SrR66LYONxJy7plPBFjYaMvFeFkI8l9bTQ6ddzW0cMPI8cQHbMkYSIjSmRz9mXEpUDV+XH0M3qcUzNs8ZnZX/ZlJgaNrHer8NgCNJxxcuVUAw3pV5KgtdKrlnl83MzVm/6NVywJ3Ot28+Vv3oBlvJRTxjT2dJ1kxPUOyoYYvlnyTQCWZ8cxuXA5zUf3MHS8kYfW3nsxFnt/9pJP3nZ+Px0dHaRYU+lrnGC0e5q69/tY85UC1hQnQ/GXAAogB30AACAASURBVKjK1PDMrfOoyjSjUiZcMoe1qJT1938Pa1HpxW1/rpvW57Hc/z729ewL/97h76U9xmMdV6Re8Rcht/9XSzqVSiX9I8ZlP4p/eDFRqX0Pg01Pszt5I94jT0HplxFVBlrkfH6TeBNfz30YWSYo/DB9lgPGcr6W+zBPJd3KtpiV/KbpUcSJDnZ7NHyYqzvXDeejGT0fQcpcLeqauYfBuqgInsxJ/FAD2T9nOW54GsS5uC9+NGItWvWP2WGZxX3hbfIjNbv7jeXclfsI9+Q9wn8UPUyFBr6ptvFU0hc5UPB1+MJzVCy7l6+7a3H11+MyZyMJIgtxoQKmUGAWBXJFLx9/W7jeHI567lresE1y1hncZ8QvEYWTA+5hzsSWkmMfYFtjC3eJZXxj/i8py1zECwWpLM9fhilmLV8bb+W2Ti9HlSa+5Gxkke0wH5w/TWyvl7EeC8gyBqWFArEVv+cotpFJ8hVtXCVvpSxMQi8kE3JSTeJoN0r8HHNczrbwlZyjiMtK2/hq8QvkhP2M9foXuVLayumYBQyMeBntLWPcNoM2dAhRiiexz4UogNetxaDykDo+xCb5cULcIj8J/zav9dxKS+B6SuR66kbzOXlmmjhtGinSDD5F8H/iUGiI8U3SpZRoy56msHAAddgibsy8hfVpIv2+PjbHm9HNKrlGF+DKAgvf2SiT49+PonMdb9bcxfmxHHx5MpNfCbBqnhPD2FOsLZEZLK1ieMNqXmyCE2NtuBRH6bZkcEV6Ed82GvlBRSblWcVkdfZw5bIqTt72IKdiczmJnxejRP44NkW+uZthg5H3clNBllitc7HeHcqadZeTUmZhtszA082DrFt9GeUJZRS07sO+75dIqrP8W7mS7968hn+KiOS3bzWiCAlhMrqIytwE/ukLD/IdxzI2vu9CcgQ9KCqlyMbLSsnJycFnspBjXYQgC7S0tOD3fzJxtK21jdde28zR/WfY/dx5avf0UrwykaRc4yWdfVRKkZW5MajmdI39fj8tLS14Zhy0vHaI5JwiFMoP63RVoshyg5autrZPnLcq03yRtD/H/x9WJK+YfmzJYx0rklf8RdrkwX+tJV1VVZXjxIkT+uHhYYXH4xG2bt36DyER9g/vOh7ztfGyPMlDhk1Ejw5SMLAb0TFIjMeGLIjcPvAWl48fJdPZg8JgJXH8HFlxmaCNYpdkgnALr4QVsXbsEGmii3aliXkhHoakEArCNIz6AmgJ6gRfwKRfYo08gBRqYEmkHocUYIUpnFDFnPnYtjcoVCEIQbnHOQiCxA5rKvclP0yq3Ene1KWJeWFhdjRRA+Ta+nk28nLE2WHurX+MouIr8ORupFOfTndvHf/qT2WHuZLakKCbuB8FgTmr1inDfJORbySbOTg2zVw7dGJUSjrcwaso0mp4INGANN5Gp6DHKYfQq0ok0dVPhz6ekQgj86Yb+UCXS8/4IKkGEz2eACmF69BIXaSLdSxSznJT7UP82JzLr813EmXoY5EcgXm0g9FwF1JgAJq0xNuT+VHEQt51p5OvnkXn34sQ70OrdTHTW8qycwM4wmxU6g4iywPUUYp7RMXZsWzWRL5HKh3kx55BH9GPrMjFqGrDJi3j9bPz8WgE4g0DCALMjhWy0FtNWLiNFDowRmXwI92VaM19aMNzOOW3UBulwuiWmAhRovJ6CSgUOEU1MVN2WjRZNI7p+O3RPsJ1Tkbtj2DQKzghVDDb72Th8iV8a00Oe5prsMtbqJ9No96Ryn3WHuLTlyOr8/CLy1hrTcbc6cPU9AYrU17F1DUMU6UsWLaMeZdXkK49R2VuIdUtA3zQ+g7FKzOxLk3kXU8j13T2cV1qHPGXyZiGQ6G+nmzbEOej1KSkRqJaZ+DViRdxRGbydpSWwfYpbl2QRIUsYh0wI6cG6JtfwVu7XkBz6DhJmZlcXphDgSmUkAPNHN9jIzYlgpzRJrSP/gZv7Rm6xl2YFi+ks6Mdu93OoUOHyMsowWSOZHxinDfeeIO4uDiioqLwBXwc7K0m0B2K4NXQd9JF6aICIsxaRjqnKFqRiCleR895O7ufPYc5OZzImEuz4Nva2ti8eTNy1ySnj6vQOwcwF6Z86j4XznsBClEg1az7zLmN4S/nOlaKSjIiMzx/CbcxBF3HO3bsiOjp6VE99NBD8VqtVnryyScHXnrpJdMF1/GPfvQjy0MPPTQMYDAYJKVSGbjrrrtS/vM//9OUk5Pj+kdIhvrHttcB05TMLY3VmF0StjoP3XF20vRwNLKU3yTexAuN/3JRHAJ7MypjKhtiDKzd/gV+tOgpnlVlskbpYFdUJbIss8Z2mPfNlayPNhATouCc04PjY+dMlafZjQXGnSAExSHc/h7ywrXkhGlQR8xn1fUvo/LOzLXO+zCp6qq+o8Ajc59cMhY77uTOxn3oJyXC3T6eSvoiOQnZbCOOnY09yAjcHptGnmKYSWUovd7A3PEiFy1YXwDnjJunHG5cyMGpBZn9k8GrMAD1Djeb2/o5LcYiyjIZ3masyjZ0PVbmpweIDtNyh+cw9yrSeNcTxs7GHkDg+Vwrya4+Bg3HmHWt48WSL7MndC1rhNMESCep6beEzr8HW8CNw9lI2KlOfrBcx267k/W2g1SE7mFUCyGhBQw4SyltO4KcW0Sy/hrcAQ97Z1S8E3kj90X/lLLRJkLwUUoNSq8Bv3qS/FANsf0uxMTt3LhkMT7FeVTuAF6NiEFqIMbmZcysppRT+P11bBKOkiOfpy/rNlI8OixeNwm1+zAVLuU+VTdbe3tQ6yI5MBQDEWYK4yOpVcjERkGm6Uf0NLzF2qEjdIXM4lcI7KnvxzI0wO1mN20LQ1igmiSp5Ud8f5ud9/zlCEIzX61K5bmaNpJdGcwI4ayct4DlqQVohdex24eQdjxI3aIncTn7WF++m9NCMd6ON7E2RNIXvprMPh+NW2u507OcI0ovR1Mv552lWVyVl8zKKD3K9ZB21klczTCJlhBoO8xzpxU81Hce8dbbGXxXpJQ7Kb5aIladQghgOd/GwUaJvFyB+KwIGhonCBEEPAsrudObzb8cqqXl6B6+sH4DS/Q51J1ycr51CxUVFVx77bUX+9AeGTzCL97+Latb72TN3flsuH0ZSblG0oog2qrDq7Lj9xtJyjWy6u5c3EobHo+e7u5u0tLSUCqVF3vbWuMSiNOeIPMLFZ+4pz+t/+0FXHBZX5jvc/xtkZWV5e3q6mr4+PaTJ09ekIPD6XSe+ejYpk2b7Js2bbL/Ndb318I/vEUr6OPR9zZSMLgHi3oaq24CUYDEUA1FgoOl/TsICCL7TAtJdA+hcNlBUKKoup+XZ9W0CRGkKvyg1jERkIgVRbLNFt4dnyVSIdLl9jHHVoQJQct2Qgi6Hkt1ary+AC5gzOPj0JSDd8em2D42TcCYRklKMQdMC0nMX4siIhHvQC0HjeUsH63ncGRpcD1zDmuvoGS/cSHZE/2os6+kuHgdoiAw0HmKP6iyglQswJlZNyOykqlAcE0KQP6om1gh0h0IMOEPIAakuZpgLvK5GxmL5KZFEc7ltsMUqKY5qsomNzDN29GlNCkMnA6E0e90UR2axvW9u7hn8A2sSUU4+9t49FgiOZFa/ll/M/nhSZwOhJLFCH+QlxISo8Q13Up3zziK+G5+Vfw1DkUu4SqTnp+PbyW6YT8T4SEcVlj5oXgbmSYVLw4HMEe14eiwszhhP4VTzWRrzhGqd+N2lNM+GEFabx+zsUp+3HsFSjkKU0Qb2S2N+IzpHFZlYvU62Cnezp72TMpiExFcI7zWvpZcvxr/hILvqdZh1yvoUyq5YWYPjxQn0KMOsK9dwe6URXwx1coGZRjm0UEiBvZSLPwYZSCaHZst3HRqL7X5LjQGPXu3diBODRJ1TiZ3Mo3Y5dE0Kg+SWXAt8dE51PZOUpgQQWSYhuEZF8XSNJdVLcbb9ww9gVc51SLyfk8JP5wKsNiYyqkRP8+avoWGOM7aJlgw4+ekphl1hh77uXo0vXXk5aZz5dKFLJ6AUJOWqPpexu6/H2NHDe2jHUSfOkfy8lTyr15HY38P9kE7eblGSsuLmHi1FSFWTYfXga3dR+mGHMZdI7xVfZC0a65Fvf5KKooyWV2aTmJCPOZzI0S0aXGYhhkNzNLf309hYSHR0dH4/X5cwy5yczMoK8gjpcCM0aJFFAVEUcA2NcDrb7xOXFwc5mjzxb8FQWDXrl3ExMRgs9mw2+1kZGSgCtVgLkxBDAmSpd/vp62tDYPBgFKpJCoqCvFT2lE2Nzfz+uuvExsbi9n82XEh/2/NOv4s4bOdddy6Bw7+BDH7Cow5ixFlP8wOo3CNkzZ2GgUS75kWcmfev+EXQ1kQKqDo2g+zI/iHG9llrmKlysF7nhBAoHcshI6QIDldJFkZzEKAqY+EvIv0ocRp1Jx1BctxvB9bVs2UA3Gyi4dmIilKKyUGN5so4PHk2+kIjefx5NvIj04iIyEXBmrYbVrMXXn/Rp4hkswrHuaAOoXv9LsYj8yiSB9K95z1emtsJM2zbgJz5/lzDX7ljz2oVF4XAUUIs0LQAm7XJlMy1Unp7DGaAxmMaIzoJR8eUUlbWDIyIl5BxBpXyJOBWI6g4yFTKxtXfp306Wpu1YqUiW6+tH8T6kg38yd3Uxsdx2Pm7zDins+JkHzKFDPcEmpiKGI+upAm+g0TDA5HsUh3gqWpZmZCz/NUyB0sCW/nsuwvo57tRha7IexWcrOvAP/LDLv0NEfmsz3yBqK9TegcagYUcczqruAHiptQ+qJ4b+oFMj0yPqcWvaWNJa5o3Jn3Ut/RxLJwA1/q+A1XpuRwbW4udoPI8MD3OasupSc0ibWo8b7cxZu9MxRrAigHGtFHHadw0Ub2mxawO3st0V4z9yQPYBuoJbfHyynPatw2J/ubFaRkXUXG8PuYU/P5/ZEuEsaraQ91sm7+ZVhkJ42vNeIbNxCrLab8ra30ZpwnNjeKwsjdJKrKOb5dz7LJTHrytJRfWYElKYVAlIKDzlN42gdJCAlDv9+HKl5HaH4qRGbhdA+g6B+hO9bIko03st3QxNbGV4nv76NkfSWOwCQnqt/ifF8/9SONlC3NIVxnRHKrMEVGo0+L462tW1lclIExwkjH8RmIjWZwopkXFO+Taqtg0WVlFJflIUtwdF8tu/ZuY0HWAvxKJw2uBhL0CRcziA0GA3FxcaRYk+muP01yZhbxCQkUFhZisVgYHBxk9+7dNDY2Eh8ff9El7Pf7aW5u5ty5c+zateuSsU+DzWajsbGRvLy8z4n2c6L9q+KzQbR+bzD2aUgOls9cgK0VGt4OShcO1oKlCOztwTHrCvC5CFP2MBSl4RXDtRSPHCbRmMA+p8AycxRlCWl8Yc9tKGSJwpgkakP1rIrU0en2kqpWMhEI1oE6ubSkYdTrp83lIVwAD5/EN7UzfOW9LyJkX0lkeBQ7xmZ4KSSbdGcvxw2FyIKIL+BjRXwyqoyVtDs8bNMXc2XX63R4/ExFpHN4fIZhWcGk14t7juSnZ2ew81/UipUkEAQCF8XhL1jAEudDE6nX5jEcaiLa72JCoSHSO4lbEQoCjKuNqCNC6fKG8BXHIF+t/w6OKIGZ6V9hqnmLQrcTzVgDFlUHEwkKzDNqQttsZISXMes4xzfU/0LN8W6OnemnMSqCuLBOovx55Hs/wKhJQx04T7J8nvmOfUzMDOFVnEETqOQ3teF84HJQFZeHoD5Jp91Lzuw0a6K306mL51HD90hX9ZM7/B57atP5RloMsdNKflBwB/ljJq7ofIE+rYA1aTcRvnkkmaJxZ6wiMS6b9/ft4shsHDtNa8l3v0PKqAKhW4U2PYLWM80sPt7Iy9ZChPBcvrpqPcO9U9wdI9PVtIunjUeJXVTIMnM2mUkqMp56Hp9yHH/dEYa9U+j8Y9wc8SzvxXWgVOahmYKK6WLipflkXVGFrnIeoqGKfe/YWDJQTzQLOehtJ0YzjG3mPOd7a3lhpoXUpGgi8/PY5znJttAjVJavIq4gjZqTRwk9ruLJ9BrOKcOIqaygIyKE37c8xUbFJhRjKUiTevzSNC2N7+OeNSI6OrAmZXHs7VFGhz9goDaczCIreaUZpCUlcey5I9Qfn6Lr3DgjU6EUFCVRWbkAh2MG37SCjhobZ3eNUr4in7AIFVu2bGHz4GaSLckXa2JFUSQqKoru+tNse+IxLOmZpOTk0dXVhSzL7N69m0WLFpGcnExRUdFFt29bWxuvv/46fX19VFZWUlJS8qmW7IWa25TsHBISEsnIyPjU/T5qGX98/O+5Rvdzov3b47NBtG17YfMXIa4YojI+3B6ZAuZc0MeCLgbComE42J6NOZF+rRTGvOnTLFSEsKxsHQcUFu6I+SKlllRWFy3jkF/L9w2rKVN6qQmEcm9SNBpR5Pi0g2j3GA5lGEnqEIwhCibndIRTNCFM+qVLSDYvTEWJPoxVpnDuTk7kIUUBL/mi2GmbwqAzkuno4qQ6MbizDG0hZjp761AoRC5LKySv5ineTLuZn4u57JmYxTPn73XLAnkKL15ZYERWfKos5IeQLx27mDktfeKYfKmGfN8ken08I74AFeMnifJN0qFNBlkm1zvJ5dESVeYUjEPjJA4Pk517DQH3EUbpxmAPsDfnS0TERtAROUiCnEPY9HkSrG2kKG1UhP2RXnsk9wwfpnrxLbyiW46IRKWujpmQWca9TSA7sDBIQC3gESao9y+kpK2V6Tw/m9U3MTwyxOBABDv65rMhYQF652nM6i5SlBpKAi+Qpm1lXWKAhaVrkOVREoQdpJjnsTN8Hd2N46j1BlwNWs4lneF74wW0dZxjnvbHhLsqqUyaZo3veRaorcwm5GOY2cu8jVezPW8B78YuZ6RjFO+Bt7ihJIcd77xN9u5a4lPSuWndv9HfsY9Ru0Da9Rs5FArhi/bQ3Z6CJ+0KaoeNdLlK6eyK4Y6MGRpMAtlVhYQXxOJ1hmN+z4F1dQBP9iG6jAns7ZeJFNuI96eh8GVyKvt6pmxbyDZYWF36BeIjElk7bz3HR09w35n/Q4u6mxp9E6NxE6gcEttaNdxeuoEkrQlHm5HpGZkIxwQTXitJxngqb1pKTtUCBp0vYs55Gc+4lTBNCgUL03EdOYLn3x9At2o1RVflEJrkof7scUDg1NnD9J5yY2vxkVJixpKrITnJinNISWVFOTGjSqq7TpJmSUOpCBKnzhSFN0yPJiqG8fEJ3njjDXJzc8nLy2N2dpajR4+SkJCAwWCgra0Nq9WKxWIhLy+P0tLSPxl3vVBza0nPJKOg6FNJFv50IhX8+Rrd/+34nGj/9vhsEK0hOUiyaSsutWilADS9DUd/CWMtMDMUFH0wpsE1z8PMEMJQHXqXj3RbDYrRJhLb3qYoMYcKg5YDsokK22FKm15hIGEJp/walILMu2PTZISqSUCiHxVTAYlFSjXhmhCGvH4m/RJpGhUT/gD5oodRWYnNF6DD5aVm2knv2AA7AkbmKT0MyUra3V4y7HWEa/QMCVoEATKkWU7oMnmHOKo9aqTEBbwhW0AQCBOEuUznYJmRTVbgQfwTJHuBXOWP8OxH9pEkuPBg+shmR0BHa0giKTN99CvD2aj0U2zy0CnEMSmBTVRjlQP8atTDOYWCQ5Em0uQjTLY0kT/Wz5Gk6/iWuJaEKDVdLjdxY7WMm0MQ5USebyqkIKaJntAsfMlW0sW3iVbnsylsFr3DybjQ/2Fsee6jjlJ+ofg2Kl0npYrTeGcVlChNVJj/SPd4Mdnieda07eO8rpJE0zxU3oOozwjExq3m9fG96HRLeLdGhddg4DehWeRHjVOgfZ2QmHKUbjeakG52Kuaj7AtlVVQVmshSMmY0eB54kVn1GFmb3+HlKDe7UsupkCY5HxnH5Tt3MukfpiwD+mITeCa8mphzQ8Q/sYVz0zP4YlNIzC+irnaUwv1tZGemE+GO5qqVK7kjvpuyk98if8W1hOaXgN/H+5v30zUSQmu4hegMM3t2vkpUnp561RnSZk3c4VrGkH4LdxsPsnOgDk1oMi81vnRRkSnDmEF6Wg7xYRZusa/k2u6VLJ5fxOBgHc9M/Zyr5q+kxKig5LalhPtdmFZbGYlxIHfbOf3KVjwzlYSwlO76CQKSTOLibMYjczGVZpM6L5Z4qxlBENB5EhhvE1B5IolNDaerq4MzXdW4R0LoPyahHJrg5P7X6Lf76JvpoyC9AFEUae/oYOd7+2hsaiIyMpIFCxZgtVo5cuQIp0+fvmi1tra28vrrr2OxWMjNzcVsNv9ZCzU5MwtLeibWolLEP6FKBR+6sNPS0j4x38ebHvw94XOi/dvjb5p1LAhCNzADBAC/LMtl/yMnUqoga+2l2z4qVpF9JTRvB8dIcGy8E977V2jcBplroXVXcLu9FVVsEavtR9nbPM4duXG80HSc1TnlFIZNc0IRjdsfQEYOqkSpwsHrJwzY5XRyeWgoJfpQzsy46HB7uULlZKcnFASZcEFgei5oGq/wIyJzR9gM9yRksX10nJ1UISBwRcgsknuS3YoEDMCkLFMXCGXIrwAChIkCzo+39JzLHk7CRy/BePLFAXnuUxBACPBh+fQc6yrmspKF4OJEyYukUOFQBgXgA7OjoI6jW5rkCU8xyMGTlwqT7PAYWTN6kNRZBwmKWjoEK0/nPsqLjf/K4t43uC93BHmmmCeFBwkPfZPQkcPEx/RzR0U2XaoHecpexCORNZRMB1hY93ssGfM53HMIKVWNAMz4QtCF+BCAXM6xTt5KfEgUXd5/5uBxI4cFP3cUX4mIRHzCTt7wryXeeIpnjuRhkm/glqhCWrOr+I+2IbJtw1RNTqFS7EQghwSpkvg6mT7jAv5QL3K1Zgfp9lFyYvMZzInkxd2vcF3uQpb/JJs9Yec4o8gmo6YRtfUQV2X4WTB6nEL5HBHqCAb1e2kfWYRn5kYMKyxsvzueZ3Mv49aeGvJHY9gxtJh1C1NImhbxDBhQnWhk3jevg2Rj8OUQmD18BOsLD/P82hz2DJbw3WoPm94M8DPpGIEMkZ1JxxiZnaLB3cBLYyLNbpEyWebxyx7HLwUz51cmrwQgZ9LM9t3/jmnZrdimx5HefZ8bV12Hx+kl6doqjo/XYCyN5q0tb3E8+jhXzF/LvPX3cna/ApcQnOvMnh4EWebMCeBEM2s1KrxqO4cPH+aajdeyMCQfr3iKMx/YmF9VQmRGHsJsON7hYUa6AixadRMtwgC9db00pjSi1qixWq1cd9119PX1cfjwYa6//nqOHz9OQ0MDeXl5LF68mNbWVvr7+5FlmUAgQEtLy6dmEfv9fqqrqzl06BA33ngjWX+mMcHFx4RSSVZW1qeOfbzpwef4HH8p/I9btI888sh9wGJZln/+8Teuj+MvngzVthd2PhhUhEquhIikoMrSzFCww03HQaj6dnCseduHx3k9MFJPojGBosEPqIiO5UDc5bxbf4C3w3KCSVCyhFUMsMxsZMYXwBYIxjk7An6GvcEHlQAElKHBOC4CIXyYFDXPHEuMb4KsxFxWmQ0IgkBAlllqDEfvmeB1nxEEAQ8CUYKAE3BIMtqPkKxVpWByLrvYLASoULo541fxoXI/xMstePw6AqISpSQhiSIxbhsKhRIPl7qZdUh4EZEFxSWW7VCYhRvHjmNKr6TWKWGY8eNWixhUCkoVbvZo0vDNSGTNDvJE+m3808R+rtE4OJH/IBmeLtT+HTimwlmse5XK3l5iRgOk6m+goHgNkdNvkDz5DMcDcXzf/H0KpAnyUnMY80fS5jSzb2aYwjAZtyuGetXN/FG4gvXJFUQfeo2s8ROkZgQoj9uKpFqOfagUqfYyBl0ShcYpsIdTtmoFYa5p2rtrOBORgXUwHu1AP9M+P2KIjWZbN9MWmcrERGqGvCxQaEjZ/hqD6lYqy7fT1zbB6Qj4/eDLlFkWIg94mC/K/GjyTe6Q84h8s5eJ0g184CskrLadG7NEQiNeZMqux9vtROM7j6d7jFKLDrtzgpScGDzyAJfffRWiSsMHYxEkmPQoRAFVfDyu+AQmhmZJkFtoVds4kmTnTBrIooAkyAyoRwkIMiZdLoXmYu6fdz+j04O88rtvMRjhpyR2HkgS44P9hEdHc2zvZiJdM2g9BnReid7DO6mXJvlp10+IjDBybqAdfVoYe3r2UJw4H8keRmBWINysxuMI4JjxsGhDGtmLLCTnm4g0Rs5ZhOnMOA4zy8PYAzJR5lwCNj3H3urEMemhdLUVS1oKklOgb7ALfGoOHNrH+Pg45eXlDAwM0NvbS15eHvn5+UxOTrJmzRqOHj3Krl276Ovro6qqivDw8EtqdS+5vdva2LVr15+N3V7AR2OzPp+P6upq4uLi/mFKgP4RLNodO3boe3p6QtLS0nz/773/9+EzWUfrlSQOGMpZuvG3qJq2wuEnQRDwzr+bAx4NSzVaVAu/BsZUaHjzYwdPQvx8VJZ8Vp96np3CEu4yR3NPxhWU+j3UShoQRLplBd3DExRq1eABs1LE5pcIFyApVMV5p5dOj48UdQgTPolJKciQxVoNzw9NAmHsahnkvoEWfjGrnyvkmQb0c9alQKFWjSAIjM26UREk22hRYFSS6fb6KRA8nJM12FCyz68EMWjBGkSBSQlCQtLwzv2b/aKIKhBgRGPmw/rcDy3fWTnY0yfZ2UePNvHi1yEjY3J18bRtIXfFmznIOBNINPlUNKNCFqAuKZuvjjfyxNCbXN31IgfXv8pXxo2sbimjLLOE/YYKyv2hLCk30HF0APMHegTj+1inX+AsxeQK59jk3YxkKKR5+hckdzuQj6WQmTKN0lnG4p4jaNNrUcbWoKoWsAU8ZFzZAM3hvH72BqrH4nkl/BTes0eQLKcIJIlYIq+hP6SPvrMnKTc1cUKYhyZqCr3PwXetj+PRP0KzMhvX2R7GciN4+/IbuSw5ii6/mrTmN5isArV7CqsljXvivwJMnwAAIABJREFU7qFSsYS3297Be6qRxy+rYsF1j9Jgf5uTs9E8lx3LhuxYst+to9qpwewM56vRC8joLqKlcJaqNVWc2XEQb34Yv3A8hnUmB29fJj9+9X1UmVoqb74KSRT44EgDRaoybKKGW2x5/GecSEBx7hO/7+bJZlonW1mbshbtqUbu3yrxc+EFDkbnM3W+k+5XdlByxQbKrvoC/XvPsDh2IyHrEzg21MKqdA8F+p9gr49hfquac652bi27leaDzdQYa7kufBPWuCjOfjDA9KibpmNDXPtgGQG/ROupYepOdROYr+XQK3q0sV8hMaGA2r09qD2zFK1IIjYlnOGucd7843Yi04IvbQZzKNmqbBoaGpicnGRwcJBFixaRlpbGkSNHaGpqAqCxsRGAJUuWUFVVBXCxZtbj8XDo0CFiY2PJzs7+RD3tn7J8ATo6Oti8eTNXX3011dXVjI2N0d3dzS233IJarf7E/p/jr4/9+/frdTpdYNWqVR+XJvi7x19DglEG9gqCcFoQhE+Yq4Ig3CMIQo0gCDU2m+1TDv//w4HxGe5o6ufAmC0oCpG1FrKu4IB9hjtyH+XAhAOO/xre/tqHbuOPYuA0nHo+eAFxQW/3c54I7jr/M4plOx81+aJCgjGhCw3Vp2U47/QCMqmOXro9PiYliRgFIEsEpOALW7HSw6/1NhJqfkMUfi66eeULfmGZIY+furnWdhes4XylI9iQT4aY0dNcKOIp0oUCEOuxMSnJRCpEenwKzO4Pv1evQnlx7XEBP0gy2YLiw+sRBESNIehpRmaZ1MHdfW/QaiwCQaR3rI+WufMlK/0ICNwbOs1vA8e5vOEZDjeLHFvwFU46ZZ7UDnNtVjrxhiyebfwBddXTvFQ3Ra/iJH/ImcSoVjE0msOTPMBe3w28OrKXB/b3MuZfSHdSKPpIG1BMdX8JpxK+SlXnHkznXTwg385D5Q9xYmAF4WkVpGZeG/zqCtzIa0/wnTgtA85K+lDwm+0v4do3j6TWeB793X9wjcKOy3gVfs3NZCor2LT2Ztbn5DD/rX9hk/RTJgf+QPmaSoadVyK2FLNq/A50R09yb9FXyMnKxWRJoTknB3f3eQ6ceZa0mzaSlOjgntFZsgdj6UtYTUzPQrznm2k5+BL9WRI1rWfoPNlKclMks7UyPym5lUWx84nDzmUhnXj/8CyHNj/J5kfuI2zcTrxkYrkvn+MRpzmta/zET7PAVMAt2bcgIXF+7Dz/PP0y/mu+xBdv+il+yc8r5z/Ar8+idsfbxKZlMLpKx9Pa37NZ3I4xvhlx6zdwbHPzwv4j+Gd3UNibwTrLjVx73bV866pNLKzK4eyBARJyg+p3UYk6An6J3sZxdr92jFb7cc6caKBoeQrpuesJN+mZMTTjVU8wOerg1JF6jp44hlPbx+BIz5xLeAmiP5hgNDAwgCzLTExM0NraSnV1Nenp6TQ0NFBeXs6SJUuorKy8SJiBQIDGxkZeeuklDh8+zJYtW9i3bx/d5+2kp2WgVCovEmlHR8cl39UFSUer1coNN9xAY2MjY2NjhISE0Nvby6FDhz557/8XcGH+T5Oh/BxB/OpXvzJlZmbmZmVl5V599dUpf/zjHyMKCwuzc3JycisqKjL7+vqULS0tqpdeesn8zDPPxGRnZ+fu3r1b97de918Sfw2LdoksywOCIEQD7wmC0CzLcvWFQVmWnwOeAygrK/tzZZ//JVwUH9emgqcH2nbBeAcVooZvBtRUTNRC/DwYqPn0CRZ+Ha+g5D3TIhx+WN17GGt8ARM5V1EnG0CQiVIoGJtzGV/aMA9UgBeBiPBY5IBAsVZD3WzQi3PO6QcBooZOszO+iHezH5w7VsAq+uiRQyhSeKgLqBn1BytiI0SBKUkGZK6p+zkbFnyFF5162szzuUCSZ2ddwfNgJkohYvcHsIz5GIwyX9RkVhAgMCdjMSgqUUgSLXLgI6uX6RJ1rBw9ywKnkuGEWH6beP1cmFcmsf1dxMRrWDN2mJ8aJ9gnw/zTv+WEtoRWIYlbKwV+p4RtLiM39O6knTTqFNmsi9/EkYFZrPkZPOapAEEkZsrJ1Tlf4vxID9sOFaA3RJCudhKpOIGgXopj9QGQWyjqz0UbnU9n6O0kjjfhTI2ixNtMWeI+Xh3bz+roJfxq41Ics+/AAiVLWjNRz1Zg7nsEKWQpghxCXt5XOdXze47t345QqEVlqeXQYRgcXU1OhQ45/DGaxDoWhd1K69AU/ZUq0rPO0qfZij/5ED29ldTtGME+1ot6Wk/9oJ6DR99hWkhmaGQfGxbfRbd4isgxFaerh1BrQ/HM9jM1cRZZhsGAnT7TGD22g+SNVjNlzEW/bZjFvRIda++go/4N0h0pSNpZJEHmiO4Mx5ObME9EMxw6jCzI5BvzsegsPLzwYU6NnuKNxlcpa5ep8n2NWZ+B5OfOYE8xUjJgwWUJJT6uiri8QuJs9fgb64kvDeVb9mf5TvTjjJ3V8eV5CynILaDL4SEmXc/BE82kWoJi/IIARouW/sYJGg4OogoNwWQJY96iPPqHwylZkMeBl1tBhuW3Z3FZ+eU4+zS0NLUxbWjEFJ5CYdlCEpMSyM7O5ui+MzS01pEUn0rvYCcQFJcwGIJhkwtC821tbYyPjxMXF0dmZibV1dVUV198XFzEsWPHaZqaZsPty0jMNRAIBNi4cSOBQOAi6XV0dBAIBNiyZctFy7erqwsAny/4sitJ0n+r2fgFgr/hhhv+ZOz3s4yamhrNz372M8uxY8eaLRaLf2RkRCGKIjfeeGOzKIr8/Oc/j3r00Udjn3/++f4vfelLNp1OF3j00UdH/tbr/kvjf5xoZVkemPscFQRhK1AOfPLO+UvC70XVsY/VaSuCSVLTfTAefNM9GlnKLxNvpkThZPXYUdCYwP0xta8FX2NWqeE+u56dqhgkBDDHgFfAoDSCPxhzHQsELc/9Ew4EPkqGQetTBZwJBN1S9Q538Oklc5H03jcvAq+AjkDQbSvIBJQafpUeB7LAvc29/F/23js8rvpM+/+c6UUzmhlpJI3KqFery5Yt2zLuDQzYYEqAJZACCZAs5MqP3c2+2Ww22X2z6SQQSFggoRonFNNcMO6yJBdZktWL1etoNJrez/vH2DIEsr/ddzdvNuW+Ll2ac+acOUej8z33eZ7v89w3gB5YiIrkqxX8tTWRWvNnuH7BwmQkdkNJkkmYCUeJAhc8gcvnFnMZ0hshUSIhrJZzyevDd/k4VxCRSECMUrHQTau+kCtyjQX+ThI9Ub4tu21xW0EQKDVouW72CP/bto/gVBeGEiP/WnQX+4Rd3MR7XKPMZJUyyNt+MBSspMVvYHkA9umNfGFNMg/G9eEfa0CTOIHvrUnGbvh7NlrOc95QzPBcNlbzRbr9j7C7NB3X+wLOt49iquskb+RX3KX/JruSC1F3X6BrTMWz+dnkGgZJjR4hGrFQVvxDAkPncLo1rNyxncbftDDiTkdW38+h4TlUjjpybRexTA/SMVLMRDCEr/9pIoqTlJT/mNWTn+H0O6+iyrQy7ZOjPr+LNfMbeHvExKkjR7nxjQNE8muZzd+EX7udlcowanmIkpJjTNpU6BIO4JpKIWtHHc8PH2V1WyJ9+ggD80aGBy6xe3AP1tI7KC7ZDUdBXMjkYpmF71Yks0m2Ce3cFKqQix8kvIzJZaEqUE1kOkJjciMWq5lbrWV8veUVWvKu55r0a/iJ9jPEf+sZ+rbtolU1TtWIjUpFHYXhDJyBPoILxfzm8Z9yfP5FrrvzIbZuvBPzTBFL5OW8O3aaaPo0B6JSXpz6F+49/CX8R1W0GE9w8003s+3+cgKumHxoVrmJCweHEaMiggDVm7KxFhsxJE1jn0yk+90etj2yAplGhf51NQ1NLua0g1RIiyktLSUYCBEMhijOL6eoNIfImQDj4+Ox6y8Se5B0uVxYLBYmJyeBGAEODAxw8uRJjEYj8/PzAOTl5dHf309d3QpykyuxlpjoH+hj7969FBUV0d3dze7du5FKpezZs4edO3eyevVqsrKyGBgYoKmpidWrV5OcnMz4+DgNDQ3Y7XZ27tz5f5VC/vfkIP8YEQ0EBNehQ3rdpk1OiVL5Xw58Dhw4oN+xY8e8xWIJAyQnJ0eam5vVN954Y/rs7Kw8GAxKMjIyPklq4E8Kv1eiFQRBC0hEUXRdfr0Z+Obv85gADByGV+6EVV+C1OpYVXHXm6DPYK29OebUY2+OFUYRkzc8aqplrb2ZoCDjsbCVfmeId81r+HCKOEkqMBOJcjX6i72XKZcyHIoskuyV6DYIWORS/jo7mWPD/bjHWjluXgFAsVpOly+mLOVGujgnOxqK8PTIDCuxATH3HydglEkY8AVRyRQ8EMhjMhibxihTy5EG3czw0ZvEWqkH28IwF+OKY/Z33gB8pP3n8rlGI4gSCa3xRZR4xlANjHK+vA4Kt3LA4wUkZHtH2DJ3mqrkdDrm7eyz3kGKOMnttgT2jVWyz3otO8NdLLem8dbgAW4NNPFE7RO8M5dKeuss68IXidZKuK3EypnzLfwy8WYejTTypl/APHkMffyvMOsryZIUcWv5qyxEV9LZ2Ygn/kZG88vJX3KRfe6/o1m3guqEeXQtD7Mtt553sDE2dycRXmWDdQVnJktYeOcEJ4JuIo9/G4NxHzs028hO+hUfuFbTk+thqwht6aXUWU+gS15PU2+AYkSmp6eYjbiw1D1BJO4b1Cat5tQlB6ODfWyzv8PP8yVc+NQXcI8WMOjuoDTcz4IjkYNvy9hxwz+zIruON17y0zRlZnvdbayZXCD19iXkWldz0dvEwSW1lJSc4O6iDOJmK7kQ3EOHbBa7S85XWpcS9c2yLFTCa0kTzOf66RtrYjo6TVJyEpurN1OuEZHO/oIv5m+jNrkWuVRO1bZPc+LkDCZJEeuDEjDaaJh5k+TCQjZUFHNmYJS0n71AlSAQLcpEIipImSnkxddfALcJoe8I7zmzuHv9P/Dpyo287n+XS70CEkEgo9jAB784ghjVkyy3M5kMU9PtpE1Pc+bAWjo7T2Dv2odcey2DdgPHnmogf0slS7dnEdLYgRJWrK0kEg6x7/lfc3G0BwToHmgjLy9v8Tp1Op2YTCYmJiaIi7uaLRRFkaysLNLS0hgdHV1c7/P5uOWWWygoKFiMQnNzc6mvr/9I5JudlcOaZVuYmpzidONp0tLSyM3N5bbbblucx71C6t3d3fzw+99n2+oVlK6s/4hb0P8f/r0q5j9GuA4d0k88+je5qTAQf911vxch/wcffND65S9/eeqOO+5YePvtt3Xf/OY3U38fx/mfhN93RJsMvH45LSQDXhJFcf/v+Zixdon6h+HEDxCjUvxF/4Bq6RcRzj4BcR//nx411fLpkm9yne04GVEvj2vrQBslxzNCTnwi74djc58zl6uHP1ypqxNgOBT5yOdlqxSsNGh4YcrBVCjCkTkX+wMakj6U5vVcIezLbTlaBMLEVKRaPH4uiFoqpAHi9SbanB7mwzGJxUAkys+XWFl3pof5cBSPd4768UNI0tZyQ2Y++8bGqQ6N8Sx5bNX2cJHiq8e5UvwkXCmCirLO3swHiXUAdGozWJnhocrZyc+EJZRqE8EXZK2tmaesu/nC5D4eHH0Zp0rGhFmD0lpOxfkhXhdFLIKMkHOcQ1kPoxZfJyMQ5C1piPpsFyfN19AUjfCbvi4ebv8JP6x0sjVzFcs256LvPsweYx4LYSfFLglTnq2k6w6gkq4lqNrH/rSv8tLQDkZdaciis0iyRknxJqOaMbAx8XO8UrwM51QZ/oUS3nntVyxNtrGv9ItILv0r/cFSxu05yOZr+dLaHRwY/zoV7tMcc9/CyIidzIRStscnEQibmQxIcXgCzHWvoTh3nrf9YY6ov8/911XiUIWoU29lR+ldPPn8KeYiKlzuUhwegQcjBRjFAvoe+w61r57Eec8a7I2vsemZY0zX2Dh+00oGp/Vcnytyg6IW9XgB9t90YxkPk5q+nq5gMxnv/JLHlvfSnVpMgyOXzQoVlTXlPN/1PNtrt1NiLOHFvT9mk9RI+2QDVvNxkMtobzxC0DOM3yilwpVAlbYce+IUlZWZTH31K2gf/TTn/+p22ma6yG2U4dUPce7gMEdyG7k2wUT2kuPka+vZpJcjVyjYVbqWlosyQhMeeiW9NM52sbKmmNlQPv6JWeJ8Tuyyi+gt2YyEJsmuvhH7lAanvouBhXL6nmgjbblA2+gJbr31VuSCSMevfkVP61lISMFisZCVlcXp06cBSEhIoKcnpi2v0+lwuVyLY0gqlTI0NMTY2BgA+fn5eL1eJiYmkEqlyGSyRQOBrKwsUlJSuOmmm5BKpRQUFDDa6eDCwREc8Z0sWVJCVlbWx0jRYrEsvvYHArz+3n7UajW5VUsZaj1PVkX1f4p0/xSg27TJmQoDuk2b/lts8rZs2eK8+eab8772ta9NpaSkRKanp6Uul0tqtVpDAM8991zC4rF1uojT6fxPytr9ceD3SrSiKA4CFb/PY3wiZApY8/9BSgX+1mHmWpeQYOlCDRxVZnFvyTd5pvPrbJ6LOeSstTdzne04+8zr+eLIS2yXu3g3FMeg1spgBCoWumiNL+ZqdHs1ynV9QnJl0B+EeZGtJh377S6ilyNdk1LFTCAWRetlUghGFknvw2V2CgSCArRGleDwACLakAePXMsbM3N0ef0crCngU2fa6YvoGEzbxfWzR5lhjnPkUz12nm1WNUtT1/L2ZOx8q6M2oq5pLsSXIIgiWZIwl5CTlGKhGj/nIyoQRRqMRbGTEKHdH8bin2VUbUFEws8sN1BjP0e8IoHnJBsh4uTL9s+xbaaUJ1LW8Xj1au5uPcDzcTfxeZMJYWKeE6Z0hEiYVGGMG+NGcBqlmLT7GOx6Fau8gu7ybqzuXOIy72RLnkDOis00D0hYED/HU811NOdXIsSKock4P0igbYTy5Z/HMjZA/EUr6xy9FE4YOD3ewpCQRq2+lS/zr1xSTFA3vh5lQgUbczNpbnoHa9FR5otB3fc+1vRJ0ob3Mbani74dGRSW/BunJpK5Jm0jyB/D33YvW3K2U6D+NSIiR0eP4Ijsp11u43hRHRVuJVk2Py0tDuJOnMe69wg2Uynt840UXXcnTYUCub2XcD73DEt2341z33OETxxhYdMogSE5isJt2MIj9AyeZFg/wbnsILVZRrLtXfS3DLNUt5wn9X9F9ngub50boUadQkpJL586q+DU86dpD74OYpQV7ky0LWe5ZJLgLZigbM/7vKKQU/g3n+ank2dZP3QvTosLfGBM0xDaMMSwqwt3yR08N6zkXuUsYy+8jPVOCaqCjbhKpRxueJedN+5k7fJtsag0JOL80euMtZ9FqlyKcSEeZzQefbYZ11AYfbSESECHAIw1RSitXU0oGGL2gyN0HDhEWnUlQ74Ak5OTZGZmUlhYSG9vLwnxqZhMJgD6+/spKChAEgpQXFEJQFZWFrt27WJ6epqVK1cyNDS0uL6np2dx/nX16tWcPHmSm2++GalUSjAYZGDmApvvWMGEw8ipU6dYsmQJUqmUrKysRbeg4uJiamtraW5ujk3nKDUcO3OeY2fOs3DyMDu/8ii5/4He3D8lxyCJUin+d0ayS5cu9X/lK1+ZrK+vL5JIJGJpaan3a1/72sTtt9+eGx8fH169erVrZGRECXDTTTc5br755tz33nvP8KMf/Whk69atv9O39o8Ngij+t9Uf/ZexdOlS8ezZ31Gc9H8J0e/Hf+wIqvhRhPe/QTASWEwTI9NzVF+0mDJ+3PopHph+l9aSv+bb4TjOx5cgCBKuJoQXP/Ujy1qJgCf68e+xSqvCrJCBIHDI7vpIsdRGUxwtDjdzvy08cRnJChlbTTqO2V0MBcMfO2aNTk1FnJJnJuwkB2xMKxMp1yho84WwRlyMSPUkC2FmohLKpUEkgsiFiJIqiR+TROT9sPbyZ0ap14To9qqYXYx8odzZhUdjZkCWCGKUvNAMg/IkfjH0M6pTtvMPGRW8Y1tgR/Q3vCnZhShI+GluIiv7v01b1xir1z/AmxIlQ+PP0hl3H4c9WnbqnPy9cJTuhV8hipA54kVn2Yoo3MybQph7mu7jxDU7iYYOEtVuZeDELsbM59FmtOHo3oy1tR+/YOdHu+/BetbOXUMCTuNBOg1z5PhTSEofIifzLG3hbSxRJtDhXUvkaA9BzRhK3TzLKt/i0uxqAidvIS3vA9bf+mWG9ndyfLqP981RyifmWF1Zj9HUyImFrbx7upMHaprR6fYz4N2FKU6DLrqHBvtfYz6WTUHJPN7UMtbVp/HSywcJd5k4YOjli7duRBx6gv5X+hDW1ZO3upw3X/g7bkx+kFXXXsPgk3+DcziLjvh1ZAw9Q9Z4Fz+4ScK5fAnp02o2nDOTOzVPwayDKb2egap6ECJoCsfxTOURsK+mpOdXtFQtQZg6R0StxpuRR2pRCoGLDuyyEOpMAyrXeSr2evnVmgG2XfNtpgwDHGpoYF1dLck+M3KvmwrzFt5/ro+SazVERRsnzl1AFEUyLNn421Ipu97Ayg1VCIgMNDcx9NYQfXPJJOU56PR1UV+1CfeYkq7BC6idKYjhMXxG8OsmSU1KZ2JmFKMujnmna7E2ASBOE4/bs/AJImYiJmM88wsubrrpJiQSCXv37qW2tpampiZ27dqFTCZj79693HDDDXR3d6NSqZienkYQBCYmJkhNTWViYoLCwkJ27drF0NAQkUhkUe6xs7NzMYX83HPPLUbNCYZ45uYdIAgY9XrWb9yAVCb/SJr6k9DT0/MHL4gSBOHcb4sBtba2DlVUVNj+ICf0Z4jW1tbEioqKrE96709HgvF3QJDJkEf6Ed64D6IhpETJ9Y0iJcph63Xcm/dVKty95ColBEIRcl09vKJbwhsJa8jxjDCvMHB3iomuRUecj8sYhkXIuSy3eAVyYDwUZsAfZMAXJFkuw3O5j9Ysk3DRE8D37zzjeCJRRr0BJsNR8hRSpIJAtlK22EI0GQzT4o4VWHlkGjQSCWOhWGp7QaJEDjgvz8lOR6VMReWkMEEfJgajiivfDiAwEpRxpas9yzPKgkLP3w0+xWr7GURgvbOVDwxVPORt5oajzzH3bw3csHYVFYU5GGbnkQScDMoSMdtOEie+gD1pB1PW69mYmMHMeIgH4sJMDe6naeZJqpMTwN+PfiGEcS5M9+ANnOw5zDfzt+DTryBJa6A9EiA51EiRL0ySdS9O71YKzuZzIPMo+Qt2VhdXUGA0UxkaomLvcwQq9JQmxWPJOkiL/zp+rLoDe1TLq4pEjIER8jwCKfIocamdjF5ci9SRhc1tonuwh+FOE4HZdvau2UpUkJB06QK6lBcx2SJIHR7sgyqkM3Gc7ErmHdk+qiPFXLBlUOw6xsWgj1pDhAsuH3+XmETy/Bx/FY6jcNksHt8TeGdV9Ey3U6OwUP7rAH2SDYjDz+FZd5p5dxwpJg1h/QRHlik4mulGlAgYzBZKPUZkinwkzhlIL6Uz20ytvAZ33zxKdwipo5GLa7bwxLp6ChfChJznUYSUOL0CkoVsJuIm0dYIvOx+n6RcCwcsk+TkWDlysok1wzdiitPSd64bZ1s/4WQf6YXpHD97iOnmU+RXVGFzOHC6F8iuTOBs+8nL1nZJJGRYEeMTGWy1k1OezVwf6JTJdA224IsbQYwuEAk240+MpVtdC36QRlAqtAR8ftRqLeFIrNo3GIrVv6jlcYQjQRCgID+fObsdnz/2nslkQqPRLPbWulwunE4nEolkcd62u7ubqakp3G43LpcLtVq9WDg1NzeHzWYjMTGRvLw8RFHk/PnzrFq1iurqarq6umhqaiI1NZVNmzaxfv162lvaCYZC+IMBurq66ejo4MKFC5xpbKCouBiVSv2xsfrvyTr+v8KfgmDFHzv+PLSOfxfCQbD1wcQF8M9/5K2MhV4q3L3Uu7p503IdD+R8kXJ3L7vG32JYnUqjoRIQyFAr6fEG0EgEQr9FsjcnxROKigz4P2yEJ8YqlS8jV6VgNHjVt1YSFT9mm/dJuELE9oiINyoyG45SqlFglkuZDUUQgPvTE3EEw0yHPxoaf3hJHfYSlsipUCsYDcvJUshwXK6YvjfST+3oYfKFLApbQmyzwDG5Bqlcy2Ppt/D3Q79gu+8dtIlj3JUQh2HlZzm96jpSDGewGap4ZE5D6mwfI3Hp7PTakRhreTh8DW/bXHhHR/kOaRS4InxFP0VxfiWhudcYlO1CJevDnqRgzp1E6oqTaMLV/LpRToGyn+/HfZqSSzL2D1Qzpkrj5+btbPALFOUbeTrewfRomDsSx7H2ZSHah0lMLETb/hanK8sp0dWjDC2wX5JD/riLkqmLBAlgD4uoZyppCQbRiuDRD+Kal5O3voKMJAW+rDQalPFkyM1Y5vT8xmHBMjOD1jqL2VlPjqecfNcgM2VSXjTfRqY9jHroApq4eA7608jt6eJhj4VUUYutdwGjvQilsoDAhi1sX3sb8dYEZjwX8R4/TiBcwOiAmxFlHysO9DOYl0mPcY7KgQjSVAsLSPmUeAdTNVqWrF1J1B1C75YjT5Rg0pSToEhihZiLcn6AjK53GDHMkTstxWlOZkLRysmsEyTGJTDoHqKsegvVlqXcU3IPWuSMT3VTv2o1wzNzBAUpTY4uZBUROkb6sdpXkFBrxaROYHZuColEj5gAa1asQi5VMHB+kqmBNio2LsHlCDPXH2TWMU5GYjYeZ5hEWSFpmZnIwsn4fWFMinTiLXJs9lkQIByJSWkiirEfiUA4GiPZ5ctqyc3Lo7u7GwCtRs/1O3bQcLoBm81GUVERgiAwPj7O2NgYK1aswOfzMTc3h8FgwO+P9Zr/dj+rzWajs7OTSCSCzWZjbm6OtNQ0cnJy6OjoYGRkhIqKCurq6lAolZRXVNLbM4DXd3UyJxAI4PMH6O/pJt5o+pjzzxUVJ1O3AAAgAElEQVRnoj8UycJfiPZ/Av68ibbvIOy9GzZ/G5zj4J5afOtKdCuL+Mi3t1Lh6WWtvZnjkTIMljx2BTrIM5j525Jiak16/rkgjXAkzDmXD71EQkCEYV+AqVCEfLUCe/hyP+pl2zkQyFUpYnO2H4qEg7/DWec/ImM+E4owG4odp1KrJk0pJeicZVi8UrQhokDgamwtEJbKQZCwigk6ogaqdCqG/EHKCHB998/57ORvWK/3sFB9LTclzSLrep3nkzax1N3H/SMvQJycypk+kvLv5mDEwBeCJhS+NxC8InMKK42qFK6fH+Cr7V8hOVnH0u63uT6vlBmJhDNhFUrvWbY3/ysZSz7DEWE93wzUMzaTSdyogrz8T1FWvoktufXUyPZg0O8lWxxg40gBQd08lyLd3DNewRHCSJaUcEBXynhKFh75WUZMdlY4X8f6qbv4TeImfqzbjlQyjc9fQp8U7HoFhSERhSQFSTDMNnctwylTBCMLKGyT2OMj7L51A2+7PbwalHDDkIP5hR4mIzr2Fa8gNxRkRclLRINaxsdkeHxjyCVxmIcsZIymkJSqoiO4wNzEBOmSWVqjI7jpQbghB59HjsefyHfalCyxmujvauSiYxbD7Bzh8SjZk1OEAzO0rS7nNvE+kgaHuWn/FGeMc9gKdZyVtPOK7jjJFwMUTRdjVmUwYh/mVPw4eoWJCBGGoj3YEwWSRqLY1QJqtweUAn3maXbJ70GrEAnta+et0FHC0SxurroOhxCHT2HgzGtHSPSOIEkv5KEt95OcnYA61cA/Tfwt16+6luiMjkCbEel4AudcR9GHzBx8aj+jbS8yrwLngA5neAanoQOPM4zWbSUSkOCe1xBnAVtkAC82lEI8vqALqUSOKEaBKIqwhHSdBZlSjy/oAkQykxJx+QOLaVzFbBo9Qx0Mj8Xa8iYmJigrK1uMZHU6Hd3d3SQmJuJwOFi1ahXp6emL+/82xsbGmJubAxHGxsdISUmhsrISiUTC6tWrF1PDl4YucfZcMytWrMDj8uP3e2Ny4FIpJUuWcPDQof+RpvJ/Ido/PP5siTYaDWKLDqPO3YFQvAPiU+Hirz9xWwlR0lOXcKToHlrLH+Q7Miu3DDzPpzt+gNpaQ661FIVEQt1sA2LHGxyNL8OiiFnhLZMHeL68kGq9igzPGHep3aQnZJCilHNDcjyH7W6utNRsNGoZ9IcRELEqZCxEREwS4RPTyOlyCc6Pzf1eXhajJIZ8vOcKMhyVgwBpsgjSqB0PGgD0gsDDmUkMeAN4olGsoQ/okxQy5A+BCDPI2G+u56ShCu1sK181LGeptZCbRl+nMaqnWV9KwJhAT4qUEkUKtt4FZgb381bSerSKHJ4O5jFxmfRL+0+Rn29gWH2S6plBKgu2U5a/nHODJ+mYfYZ03Z2MYGV/+wQ11nQOq9LYnLuCbYZRLvh6UE3NYAv8BIkQpVpZQJ8bvuWvZlt1Ick5OfzEBEvlckoWoHPMQabGz0txq/Dk5OAN5vLysX5yPAPMjO5BOiyl3tvJmoR3sIeKeDk3l7hZPzLdPB/IDlFfVs/M4Bhvl9sZbhvG3ZuB0R0hErnIB8XLWW96hYxRB2ndyeSUpBE2vc2AsYqskxewiUaWICElS019aSopy5bRvyBDN+XBEbmA0RChJLmKtoOnkNgS2CS40Qr9dB16B6nPg9GUxpx6FaI4R03fLJfWWIhoAyx5/QPeWAHnK/VktE1SOSiSOXsNc7p40uTphAIw3/cuDmWYCV2UiNeELuKjSTfE8g3rCS5LRto3z9sFFygfySfhQi3SvrMI5iIKR7X80jmGb0LGj5rcLJvuZcd7z3IoqYYDYgV1tkHWrNxAXk4W+Qn5IIGNtfUM20/iSJvGO2rng8hBJqNeguo4jHM5eB1K1AoNUrkEt3IEaVgLqgBCSInTs0BQZQMBNHIdvqCLjMQC4tVGFnzzCAEj89hiJHvZplETb6C1tXXxKteYpMw5J9EqTAiueCIKN6FQiOLiYlYsX06yRoEoUzAyOsqqVStZunQZp06dwmw2I4riYoT7MVx+mi0uLiYxwcxI7yx9g51cGrpEeno6Op2O+fl51q1bh1qt4tKlYaJihJqaGs6ePQeA0WjEarX+QSPY38ZfiPYPjz9LrWOAOfsJ2ju/RFnZE5gBImHY+TR0vgm970LeRug7gGCpRJi8wAlpCp9TrOQpayLPTLawcs1nORh6iLXhEIpwEGQKFHkbeBioMlpZmRBPQ8dxVr71VzTofoUsEuHnHgMPRcd51pXAF9JN/GbacflsRLbOnmRHXAG3OJrZF9TxtnltTFRCKsUejSxud8XlJzbn+iFcKVwTAEHCxSu9s5crl8fDMiDxysfgFKM8OWbDEYlikUuJk9ZAJFbCmxFeYP3kYU5lXkdzfDlJwTmeiRtnadcBHpHWcDa+jOv9PSwzZvFgaCPmmV8yf3SAjdZLXFs8yltkACJ5dDNIIYYUPyltsySvWotx3WaGjQq+1X6RZmURd0s+zWCbkVbfMIdKlvGPES9bDB5k7mYaBn9O1CSj1/RpisTPIdN6cHX+gt7MNbgku8nJSCZh32GeEl/j8Nh60v0R/qZOyWRyPssnRklLWsG7Z5pZt9rEU8YC6scyOJaWy9qBESzhXN5KyWfl+AQ3jCeSmtVMzVwVwmgzlpkF5lO/gk8CB3NjLVsPDFnY1uIh2+Ok65KAvjzAS3PLcbried9azx03JqKb6eMdZ5hlp59DtXeOFx/8GgdLMtjCJOYhH85WDxOyPibNWkqCGibsXs6/swfzmmomGw9gnlMzqXiHZNsMU/XX82v1AZIdg2xZm8AbVTbK+13c8YGaOUsWtkoV+VMhUjQzdHYcQ21MYtm5ZsL6ESZTXdh9vdS6llJyzWbofIrSI01EE0qhz0ei93XitQEGLaBNMpGuaSPUa+Lr9espSk6jRXE71qxr+ZltgITv/iPHFQOczRUIz4TZM/Mqd3l2Em1oxnr7Zp4NnUI1m8jmqZtIkUmo1co4pnKw4NMQiShIUJnxi1Hm47ooX1KP3FdAb6+IXzXLHBOY1GmMzvVQV1fHSEMfYc08iBAvT6ag0opMLlts+THGJ6JSy5mcmiTJkM6MYwyVQQshmJqais3Hzs0ydOIDatauQ+q0E3Yu8Pzzz8ci1svQarV4PB4M+jgcTjdKpZJA4KouQiQc4enHf8nMwtgi+UokEiQSCR0dHQCLvyEW0QIxlauGBjIyMv6k+mf/gt8v/qQjWrUqHZ2+jARTPUL/4VgK2ZwPLc9D/SOw6R9BqoCt/wKjZ8gYOkBFfDwbNBEK3riLowWf4t4FMxVnvkeudxgyVoBMgTQxnwyNiiNzLgLqRN42r+XvXQa2Krzk9r3O5zp/iIwIPxEKmAhelTfs12ayP6jlhoEXyPaNEUFAG/LSo0jgSsQrIYCfmPawjKtzrRoihEQRjRAh9GFtYljc90px04fX+6MiWqkEe0SkQ4xZgBkCDmbkBkR1In2SOJYutPN417cpTUjmsXEHv0y9gR0LZ3nswiOYAmdZPtnCtbMHSE1LZjDJxA+Tb+A68Q0+Y0lkqdFEqiTAc5IqzNFUnOOz6FL9/PP4APsiFVyDm+SLXaQb1YyJw6T6tDyc4aH/wLc4pWnGapDSSjWprgXKTz+HJymN/vgxdIFEpPI5ihvO0z6QRHo6DGbko9U20ZEZ4RV/FVPOICflOgYTLWwe+jVun45tCzoCdiknCxJJ8bjIUR0jOOKifmIP0Q2HsURSsdnaSagJUmg4T13HEEYbrEt4gV3FBShHT+PV1DM5X8yzeT5OJeeQGNUyodKQ2w9Y3aQbJTTqzmJbdTdvpRWx9GIjaaOdJMelkHuxD0V1He7gAvmnT+AJjdMqM5OxME7VVBJZJXejFdwIthDdSbtZG1FTesmMte0SUwkhJOZsIm4dOlWEXF0pVcoqJgMv0EYQu3Y1o2Y75mw1S443MFtRwlyilpGJ43TLjyGtW4t/VQnt9mn00k9hj55DiIRJqbbS4b5EmjcNdXyYc6fO8J7+FLfUV7F+1WZ6ksJ8yfssU6MzJPclkyrJJv6ChYuZY9gLwrT62qiUL8c8kYs7GmYodYjk3QbUEhljwfMw00ZeTT4zbjvmOCWDXfOxa083SqI+Hfd0FFNCPEU5lSSk6JF4tSx4bQSiHiYmJ9CpErHZp0AEv9+L2xPr6tAZNRj0ZuwLMyCKSGUyRFHENu8grDcSVmpwhiKMTc/g8/mQSqWL7UJebyyQC0+MENXEkZ2djd1up6amBr1eT3tbJ3bn9EeGS0JCrKUzLi6O/Px8VCoVDoeDSCRCeno6ExMT5OfnU1dXR35+/mJEGwmHuNRylvikZKJRcdEl6P9lxPuXiPYPjz/b1LEgSNFqchAE6VVj+PJbYxZ5VXfBwBF471FIr4W0aqSdb5A704x0yU4ou5kMIUhF8/dYm5KE9NxzkFYFifkAHJ5zcu/FId6Zc9EUUvKANYkkUxpfD2dTZskmRWdie7yS7Uofyf3vMqE045Fp2WKKI6w1842kXfRrM5lWJYIgwaqQshAREblKoh+OZ0OXpRFDgvSyUnEMKmCl4GVYlF5tnxBF0vzjuGR6jME50qQCNlHK2tlGhjQZ+GUqdNEwo1I1943tQWeIck1KHqrRRirHDyNVG3i06/vsz16DM2OS6tlB4tPWY8opQ6ueRaNo5hbbe4hiMV925bPUE6BFVJAz3cm3Sq7nkqhjc/TfiOo28sN4J+aIlvaZU6xeepD9jkqcDj3jcxokaesIOXx8N+5RErw+9o6VYy5ZQk7/AicL7uN5/zISznegy2xntGCGp/XXMh700hy/ldUXzjCcU4goCKRP9VEu6vh1VhUBm0D+0ACt+UnMDTu5kFjHcHIOuekmDs03Ye1yY9k8htrkIDRqon8ynaK2KbSefNzT00iLXiDgzOHdOAPnC3MpHO3iocYR1vjM+NVN/LJgHZmuTsKhIDvW1ZPUMYl1+AJyjQG5zM2C14+sII8xhxNpVKS49STp3kn6lTJMU8N405VU3PUZlLNdKNqPo43LoCxhPRfTQ7RVRumQDVPkNuBbCOPXO4hoBwhvasIXb8Vr0HDcMsRISEHhrp2YUvRw4ixy9Qi1y2a5FDDy/Mz71AaSmHTOsLupmZN5NjpyQ1wrvYZQWxfBVCPvO8PMJDRjibNQllDOvp4DtIb7cMs9OJQO5NM+zFPdpBTX8OCOh5lamMHdJSGvPJ6o1Mmk/xJZRitbd64l2ZyEQZPGnG8Wiy6FvuZD+JLD5ORko45TMGUbIaJ04wk4GeyYZHi6jzhdHOpIIp6InRR1Aa62eCBKWOlC5UklOd2Ay+PE7XbjdMcyQlKJhMjlqv38/Hzsdjsud4yQjUYjfr8fURTx+XwfKYiyZOfg8niw2+2sXFmHy+Wiu7ubQND3saKIqakpxsfHmZubo6enh+np6UWJyMzMTLKzs2loaKC8vJykpKTF/S61nGXf9/+Z5Jw85jw+9uzZ84m2fr9P/LEQ7SOPPJJ66tQpzbp16/7kHHr+bFPHH8GHjeF/2yAeoOg6uOX52OuCLbE0cTjIZgGIhmDJzkWDboC1ehVPx89y1i/hZ34jZSqBi+7YYO+YvMQTGbfzTNPXCa14kGczbka8UqkskfKYtIhshYxLwRBXRnuRVs1I0L24bJVLGfktxakriABxgBvwA8dFDQiXVasQyRTcDKvSQIB5RQLzl1l5QaFn6+wJ9pvrcUlkVAXHWNDJeUmxGanjZf5l8hye1GTumf0JzRk7eDj9Ib7jfoEP9L1cJ5WjbfopSYVb2CrOMGuWUVGQyjNzc9RFFyjf92PsS65hq9LPu6E0RP1POexS8ETX21xM3cSppM+zS76DgRwLEuEAh6IOhuOuZx1ZRAFF3AW2rg4hel9m9pAcb8tP+Pza+whp5DTOlLEtWcPteif6dANPigJrLjSx8exp2F2KPamV/Ff6WO4I0lC1hoKRXr700kn6MtMJRmYQhQXSMwzoe7YSmAtz/EwZyVIVYp8bMVVKQ5yWbEMuKnGQ0c41yG1K7o34SRx+F+NIiDhdJRc9PeQ3X+DWsAfDxAJFcgXJrQ7K3niZrqpq1LYJEjQDpJGL8dIMaiGL8pQ1yDankvT+y9Sm15AYryU0pcbx2jBxtz1IQLeX/vka+qNHGddp0A7A58b1vFA2yDJBS9gSz4aZO2gYhvmjI4jaPpam16KeGCAUp6SqNBfZThkql4zx199mUqdll3wbSxvPYyuMIotGcGt9zEzZGJtxkrVhOY8F/o28wmux+UReuPg8qecliB9cJLVazWSil8JpF6czpolT1tCgfg3r6aVUj29mas7OUKQTuVONFDue3gWi14Drkob296fwew4QtNYSMeaBGKZvqJuIMqb0JPMZSTQlEppJQEgaY2zqEnK/iQx9Fa6eKSJxUjQaHT4gM0cFGjWIoFZq8AW9KCJSgtLYWEhKSmJkZOQj42F+fp64uDjcl4k3Pz8fk8mEw+FYVJ6Sz00i8Xvp6uoi3ZLFTH8AMd5OKPy7ZXav6CqnpaWRkpJCYWHhopTjFQQDIUZnRLZ96VGyKqoREf6ktI//JyIUCiGX/3Epdv35EG04GNNAvmI0ADFCve3Fq+tKdlzdtvOtq/u+9nm49fmr+4WDKE5+l+3Hv89GQcoK0zJ8jhU8btjBgyMvcn+6EWlaPEtZxZNhJaIYJTc8T65awaG5WIr3wyQLIgfn3ZRpFPR7g/jgk0lWuLq9+/K+MQ/cCIgCZYKNlJkuDplXASLlop2gIKVbjMcccdNiWIJEhBzvCIMaKy2KVD4vS0cqPc8Ky3JG/c28mpREuXCBtJEPeEBzJ0PKtTyhvQ1b6BQP8A4zthPsT76GDZbr+dm5MLn2JzlsKKFny4M84TPyv1Oc5IgJhBB432XjqYzdiJcfANYrJawd+Abx1j6w3sNjUQHPqAGKBHqdGpbrDjMyWorDmAwmC+vOh3jVNIVVk0ZkrISXKzWscws8pPkelcU9jPVacPW18Niyr/K3Kxp4qOVZzMkSpBoZo9k17C+sZd25Dh4V3Jw62IujuAZHZjYvZCvZ1NFEWuIF5EBWiohv/gIDtjEM6S5mJAsY4ge5IeMQfUOFHEoo5NmKKu72uknuaMaXkYfD5ue93j6MRRUoR/tJSJwka/Mo3vblDAlyTnIUc3ArhbllSAxZ6P1pkHAl4wDTh/v5Vu47PDgXz+i5VqbyJKycCbP6qB2TsIxvJWdT6uvlMdOvMY5auLRklAx1LxWaJZhUq0g7cJzp5zso/8F3uRQU6dbEoVWNIvdk0LhajaUgkV/HRZhMcZFoyuXarI2cNJ3htuDf8IvjfSjTocZdwqqJak5VK5lKeIq1Y/F85lU7rl0Sjueep2ZsM5PnpbRajrAqYw3BcS3+eDdgor8vwjuvnGTyTARTXRqjwxWEZQEMshRAgjCdTkjpJCJ3k2Uuo3Ktlfef60IMxPSMQ2o78xMQkZzBZ8qFSMxwo3eoDVETBwL4gt7LouF+JBolUTHKzMzMJw5vt9tNSkoKU1NTmM1mLBYLTU1NAKxaWUd6fBwj8zFVweV1NcTVWTjdfpDevt7fecsQo1GKi4vp7u7m9ddf57bbbvvYvGzDB+c52riftSu2UXRZrvEvc7cfxaOPPpqyZ8+exISEhFBqamqwqqrK29HRobz//vutdrtdplKpok8//fRwVVWVf2JiQnbPPfdkjo+PKwB+8IMfjGzevNnzyCOPpA4ODipHRkaUaWlpgbfeeuvSH/rv+s/gz4doBw7DnrtihFm47aPEC9Dz3lXCHbg8nwuw+5exfXI3xPbpPQAjjdD4UzAXo5jtYvNcA+8KUsT4a6l093A2up2fjC/AiI0nMg1cP3+St411XAoJ3D/yMo3WLZzHxGXTVxBBI0Ro9360u1YGfNzl8qo+MggoL3vXZvpH+JXzTb4mlHNlrlapTaLNEyNsmzR2g4sK8OXh5zmUuIqtoWGqo810R5fzoPVOHqz+BY9POPnWzD/RlqHgp149n1eLPKSe4tZld/OOuYSWQCyC7xyY4j2dBXR/g4CIxCvwGbOb5NH78fk/xzfV6/isJYELIzYyJBdIkRxhdKGGe0cbOZezi92BKAjfYzh9NxIhi5BzOT2tUxyT11G6pp4t0xNYppPIMK/kh2lLeHBqnrXTY7yfUkY575FVU87ZSCHddnvsK9EHaVlIJ0mbhy6xG2Fmis3hJurlp5goPcP7aY9wOqmIKCLVUz0sbT+PLdWCzO2gO7OIDPsMCQURipacZ+SiltGOILOyNfhcBUiEfm5siidloZAMvQ9t8jQdPVMo1UbmtRpMpnQ8PikjozrGnAKZqgjZgVQujBlQnjxCctE2Rr29ZGjzuWIBrfeqeTLyT+jsAlmuRgS1hDP6JuaXapHPz7NU62bJaBAhS4bMX8zmIjdJuV3IXnyV8o3fw1dbwoR2FOeFdvpPd+MrTyci0yLPOUG7z0+0twCFJ5Fl9lLSQxbMtjCdaY3UVibydb2JIz0iZduXMqXWMdqt5LrU23jX8jw5awy0ZzrJcBRROb4RT9oEW2Y24C/rQ+xuZdIoUJOwHde8QNvQMZIq0zg90oi1z47cWovgsiIke5CgQG1UMkE3BRuWIbtcTMRIIjplMRmlRlLLMohPqmR/YxMejyc2HDxOVPoEfOEA8fp4xJCUVI1IyKRh4LLjz5Vh8Nup3ytayQ0NDRQWFiIIAkVFRay5Zi1DQ0M07n8fgInJCdbU5+NtiI23K4VTHx1mIgODMTu/1NRUdDodqWYzF/bupfS665CpY8IVielaEARMqep/13j+zxUnTpzQvP7666b29vbOUChEZWVlSVVVlfezn/1s5s9//vPhsrKywAcffKD9whe+YG1sbOy97777Mh555JHpLVu2uPv6+hRbtmzJHxwc7ADo6+tTNTU1dcfFxf3PkTP8D+JP/4q4QqhZ9VcJEz5KvPBREs7dECNYiEW9kSB88C2YG4Set7kyQxq09fF+Yj2iCNfYz/Bc5/9ibVIyNH6DZ4w1rNTKKB9/mtWDv2ZHQh0SMYpQdC1PCgnUhMY5d/np3yKJMCle+VdcvYN8spX0FVOAGMYisXVjaivPyDfyrrQIhJj84xm3F4t/lkmVOVawLAjcp3KiE/386NKTvJdcwCsZmTwuuYMvjbzAA1ETNWVfZE3S3fQtHOKkv5FfeJfzTAI0+eBzC2aiiDw0/BJ3jr7JxNInKTFLWD5+kgHHAvdi4DvBR/Gc6OSbdRe5ZFdyNj6HNLEPhRjkO9JVNC77Md1D3+V70+8izXyIN0wZbPG5OdltRhW/ioaaDSQMDmKeTkG+Khm/SQAf+BVdVLz5Aaa8W6jIzaPXdhahc5Z8lZJbzr9GXsVrtBSu55n4FL4w6SI3ZENqm8TcPMsb4m00lFWzrfEYXTn5tKQUQh3csf8NxvW5HFyynG0tnSQJQ4iiiMI+THnaKubDKXilTkobmlAEuzm5+RbSUUHBftz+nUi6hzFZVXgnfJgM41jTx4mMSemOL0IxKcfseBlTuoGZ9B5aL50lgwKirmkkumS8CREm1kQ4N/gsy11hNKMLfOmUwFM3GhjSzTCR4EXULSNftJKaCfNt6+nxt1FZt4GFoBk5CwwOnGNqbITU1Zn0pWTgVfyGCmsf8bZrOTGbSlWqlV7bAHfPFvCS+iI+UwdZfh+GU3Kq2yREi0p5pyum6pQuT+PBiTtIHThKWaILdb2JmYQWblVvZ8Hfx2vzbejTc7FEISfdypxTwtCch+nxEczSdKKpReicS/DpJvEyQrxyCYH5KBhgdtTN1Mw0pWvSaD8W64OVSiS0fTBB6fX6RZJTSw0ofRYYTSVk6mVtzXWMX7xIa9d+Qt5khIAcURVZHAa/jQ+TZU9PD0ajka6uLsxmM6tWraKuro6GhgZOnz7N2NAUY5NDWNNySElPjOkdX4EofkQucmJiAgDnxARTCwtEo1Hi87LIqqimqLiI22+/jUgk8geXYfzvQDgUFQZbZvQ5VUlOmVzyXya0I0eOxG3fvt2h0+miAJs3b3b4/X5JS0tL3O7duxfz68FgUAA4deqUvq+vb1F+y+12SxcWFiQAW7dudfwxkiz8GRBtsP8wR99/nLUbQVH0obnZ3A0xYs2qjxVF3fzsVRKWKWIEO3A4tnzkX2IRLIAgBTE22I+aavls8TcQBIFnO/6ezYkJcONPYeAIm9v2QPdbrDAsIS7i57rZIwhLdhJc82l+cfE459uPcj7jNpZq5fw4P4/PnGujS6oh2T/LtMrMlTuJHAh90h8WjYIkViB1f3oiVe5e2lpbwVqEQMwEvnbhIs3x5SyTeDgX1SCKUQYCDv6t5Bs8MPIij2d8iu+OfJun3f+L9fZmFNU/ixktiNA5Uk6zeRmfXRhg7eobeN/hu3xggffTb6AxWkCrykSbC1KKbudn4w7a5ls4ZixH2FDKjeEmbj3/T/SVPMGbCTexJXiaalkTxxV1PGL5PiOeg7zifIX7NGnc2T3Jz8oNtDdJ2DBxkn159SSMH8ExG88bmqVsGx+ie7aRu5MTWNvSQpw+jcmKS6Tbq+mYy2Rv9U7CvRKqJTIeFv+V8jE74cFSbKYMzpet4q2y7ew+c4poEIaSUrlmKsDxzALqE5Ipnr3ITe3ZpHgmmHOn0dW5Fs+cwNRMC2qjFVfYyUiBmWB1Hc9lZnFLg4GE8S/yZOVK7lDsYXnRa0w4lyIfzubSQRHnaBCtegx/uYUZYZ7j0w6uyUrFuLoW8QxIDRrEKLT425k8O4VJXUP7kjIO5z6NI8uCOZCB3TDEiKwFXZWVQkMx3+3/Hreu+zxTjqWM+/owD/8f9t47Oq77uvb/3OkdU4EZAIPeQQJgA0iwCJJIiqJ6tWy5SLJkR7KlRHHsPKfYlpzlvDi2Vdyb7Di2ZMlWo6hCUqTYC9hBlJAx724AACAASURBVEGvAwyAacD0en9/DJtsOS/v/aI4LnutWWvmzp37vViYe/ecc/Y5u5yYLY+CuiuxDczwoOP7FBVEGQxMwWQlL6kDeBtXMRL6JSHFLhKGcUIWJw7PWnq9SdRV+dx291oEObSvWsXh43DcNUSDv4Xx9iRzlqNckSrltqZ72P5v+1kw9lKvW49/PkxRkQPXW1EEUYKKIgy1WWbdUySNEeQaDzHZBIpoCYG6UqznFjEEG5k6mia2MI+xQE1SGSBk7OPcJGzYugVLkYabb7qZob4Jakub2fvv/UR1U+QFluJxxejvT5KyOEAAdbQUtTWJRqVDrZMxMNp9qTVHkJAV390OFwgEKCoq4uDBgxQVFVFcXHzxvSnPGPkWB8tWLuXVba/+zvvH5R65M6EQbWVlaJ2FbPv6V7jxM39H5Yo2amtrSafTfxS12ZHTc4a3f9pXuRGGa1rt74tNXjabRa/Xp10uV+9vvnd+TGafRqP5LULVarW/YzL8/3z8UauOAXanDNwnrKS5sILKmUM59bFEmntYqy+liZfeDvl1lz44uBOe/zBkUiRHD7NbWYYzPoNUvFQ7dcZnWBIZ5obkCFdrpUhvfhrkavANQ2wB3CdQxecZq7kXfc16JJUdSG21DM2O8wXFSlYu9nJcYmV08DAnVAWUpBd51REFYzmnwjliu/TNujxXJrBFGefRqjJus1u4p9iKW5rHF1JOHlQtsHLkZT7u/jV/OfFzFGoDXz79eZaF+jDh5SXNGrZmX6VpcYg73bu53nOI2pImpBs+A3N9ORV236sMiUneKLiSqtQcGWspmWyatcoJhuIyhkQVKnmagCKPvyi28dDUc8x7hnFYulBK6lgieMikmvhWuIbq6VHCSQvHbbVMU4woCBSMx0lOT2GISrlpKsDJ08M4Tu+gqXkAdW2UNg5RujDPK7K3WJ1e5PaCH6LRb6Dg9XPMpc+yvUKCRpOHTnMd0emlLFckcJwrp6hqD6WmY0QjFpInRlmQePDpPDhSauwSP6pUAltogfKJI9giUZTSLKcLSzBHg4ybC7AvqLBEC/FppdgVJgJxH7HiSgSNkZUSKYb5EQqEF3BIYjSbdlM2fY7p6TpWPN9HnljASEwkpTWQLKliZdkSjogyknYH4XEvM4FBdEobxqQFwZDBHi5gctBFxcE3ibYWEV+ewj10iK2H/AxpBrlhwIzHe5pS0zLk5hJe9T9DRWqItXX9eBJavqb8N27ur8dCLZZ5A4tTY5TWXcFg1oA3cQRNcgbj3BBJeZxx5TRRphmSj6B1m1APzyBIJIhf/waqtg14Ro2s2FhBdWEVvgGRsrwKYqNBUvlRaqz1FDkUmPIKGPV34bCWE52WUL8hH4O2n5ZlV1PbVEHcKyE6IyGp8uEvKecXtWbs/gwFQRXpRO6eGYskUVrTCEETyrgNtU7OvmM7UMRteA4pyMvXkLXPMBPpp6zJQuVKK4k5DeFggrRikeISBzPBEUR3AeZ8E3OLEyCCTConk81cJnm4FJHqdDquueYaqiqrCc8KJFNJvP5ZLMZ8vIFZvF4v8Xic0tJSQqEQ4m9Esw0NDbS2tmI2m2ltbaVt40aMdgdpXR5LVq9Fej5N/Psew/hfpTrOy9ckTXZNtGJZ/qJE+p+ZVfcfQyqVil/72tfs9957rzcSiUg+97nPOVetWhXxeDwKhUKRWbZsWTybzXL06FG10+lMHzp0SDM0NKS46qqrIgCHDx9WO53O9I4dO/QKhUL8n6xW/pNt7wFwug/QfOyrdEh8SN/8XK7F53yLDnCp7afy6hz5wqX5yMYSOPgku5Wl3NfweM58IHbJhFpKlmqVgprpA0j9Q+Abgp6XYf+/gvs4kLv2TTXrkDha4KX7IZ1goGwL2/1RPh94m9rAGXQJPyfzlrAgUaETsvytaoYlznri2QzDsRQNQoJsPEBMpqHNoCGbzdKdlHC7Vc0q4TSKKRfDCjvXp8coDA7wReMmKuNurpAscMXENtTGEmoqVxAXlbyubmBd3MPXrR/m1vnd1JQ0wS3fg75tcPBJKFoB9TcyHJzlNduVdKtsvDG/wHbvAosLp+nJOrEKcdwKKwICDznz8Via+Eo8n1OSNqZQMigaOCoVmLIXs9RRRl2Jg5PpFMvFIImFMc46imgQo1j9UhbrWvmn9VtoTwcJtEp4WvI3lHQfZtngGPaGT9BeXUH3pJYnzbcgc6ZwTmSQVaooc3ZyWBpmcfQEN//qBQrL8vAYS2AmgP+gFVXaT1ClhnwjeSk5kkQKi9lFYZ+XmM6MKR4hltLw8vpNaEIx9i5ZiSU+jxifpSxjo3rDCuTGQuZDAUzJOI7tryF1zLJktYtQREVd3lkMBVHmAjWMFKygreA27AVOYuaTxN1hRlIiv1p/I+WzXpJq2CBuIBGyoFdIeGrpGAczb5GVm5E1t/Jt609wGkuZTMQoXZ5Ps7eAspMarvbYqRA2sdM7yc0+O1WuEuJmJ559E3TE19EgW85o4hQHpGeoXryXa6VWXlI9S5UqgtKfZfVsGwGZl5qJRTz6LMtjS+i09WGQm0j2TlNx90epumEjyakpVppFiq5oZF8ijOLYPIp0EZ1zZ1kYG2Om6yDBATXVTS0M940hSWqRiROYtr1J53QZcf8Ugwu9KOM2LGYziYVerKEgy1JyxEXFxevFXJ9mInESlVSHImRn0Z3F6tQy3RtBklEyPxohIyZYzHiIB6WcdR3F5tTTWN7Myg2NlBTWMHY0CoiULjEzNTOCJBYmI5Mhk8kuRbSXEWU4HGZychKD3MGOXxxBmy/iW5inoTE3O3lubg6TyYTH48mR7G/Uft1uN2JW5MyZM1gsFsrKyhgZHeWNXbspKi7+rRaedDr9B91HK5EKWIp0if8KkgUoKSlJTU1NST/1qU+V/frXvzZWVVXFHQ5H6rHHHpt5/PHHC//lX/7F/tRTT+WLoihu3rw5fOWVV4a///3v2x577DHHk08+mT89PS277bbbFv7QifZ9t8kTBGEL8BQgBX4kiuL//l37vh82ee+q0Y4deLfq+Hftd+DrcOgpuO1HkMmQPPgke7MGOvydKMQ0SUGWs9pLu1EkoxCbB1MFBEYu/NVgrgL/4KV91aCYOgwIJNf9NXv7Oumob0UxvIdt6Tw+UfcFli26uF8f5YYj/4jizp/wkqGNh1wT3Kdc4JmEARDQCBDNilRGxnk2/TNeyFNin0zxt86/41MTz/GXEz/n2+1P8E1pLQ+r/Ty6404UYhrqbiC59APs3fM92gOn2G9eiSiKbFr/MRRqHTz3IS7Ez8l1n+FNyzrOJqQUub6Fx6kk4i3kp7YPICLkKtSCwBaLgW/UOPl+7zQVBTr6Ywns6QHmpn+MV3Yvz2cs1Lh28rk1tyEUWtgzNM+zsRDXiy+y7O0jmJIiZkU7eyRWHsguYaz2HQ44r2Xly/9A1y2FfEv4G2473klJ1xv4r2rBYtEQ2/4cxR2fgREvKbmZYPcrBKrWUDTkQpGdRRMtxWdupmR2mEnlabpvuJeCySGcqn7KV3bS19tBYNKIqNGjClbjLojgCMUZcChw+mfRxJIkVHK2rryKKekAnfv2oVJV0DI4z4IYwdxqQu9bQdZ6lND0WRZCzWgtQYzZqyi0RHA3f5Phg21Uz1TiKipAme6izHk1qZOjBJIZjm0q5ZcFNZjnv8kXZeWwr5U3il5hTjPOFrGYhoZ9ZCY/yMixK1CZJ0nodnM2dJa/OtaItvUh3nKMIU0NER5ag6DfS5fsTaYL7FzjXsaNsk1sa/4StbYZDnQpOCEvxu6Z4TMvZdh+czMfzH6Sfyr+Ice157g+s5Ym5WZqMzoOH4alvT+m57Mf43Gdna1H3+IGfS0DsWkiUR8I0NG2hThBjh47illfhGy4ioYakWwmxenxAAgCAWmIyqISpudcpNR+ynWrCA+pc4Ihicj8RBjdkgBj873og3Wk5RFiulxUqk9Wowo4EMmSNvpIx0Qy8jAxrZur2rey4ZpVJBMptr34Fj2Dp7n1lluYnfOQr1bQOzmDy+VCoVCQTL63XYcgCPzmva7QVsL0/MR77m+z2Zifn79IvMq4laTaz1135dLDv+k/m0xn2T8wjwM/L/76V//ttdo/2+T9/vEf2eS9rzVaQRCkwLeBTcAUcFwQhG2iKP5Wbv59w+/qn71MdZyUyNjbc5CObfeiWPvpXGQHIJHD9BkU891svuyQe82t583jH2fzwv4cmUrsdEimUWTjoMkH/xCYKtgjsXN/45f5Uc8/ssVUBYEhFPl1bJZI4OATUHE1W4Z382joEE/nreNhQNv2D6wwZFBkokjFLJ7JM5C/AbtcymwyJ5Fq9Z/iWbGUb+V9mAeLBhEFCd8p/RCrllzNo+oUSbmFJ90C9Usf5sauJ0j2v8UeRTlNNQVo7F9H5vFyn2wNz6Tn2Fy2HupvgL5XobiNvfX38eCAFwF4oqSZMvEZ6kwdtKWP86qqgTcyekCgTKXk7/cP8bI0wQf9g/xKZuNT+hLeHrmKK5cUQjSGz+RCGX2JrOQTPJeIsDElYd1wnLS0jLxrD/HWjBTHzn28U93NGfnHeUWiprrpoyRPDiCuFEhHTUjSIvbDRexeup+Ov7iP2YAMt6+QUpeBqcar+NXq9XDFZrZ0H2X10Dji3E5SJbeRzqh5vayeNVIZdb/qZShSQ0BiR9TIQRTJyLuwJJQkFQJlPgCBhEoGiLwzdgTJ2R6uta5GSNrwlocZk01SOddI2D9E9/A0SssmNlQZ8TZ/G1lXHZIzKhZkN3DMUoltqI/rI1fySvo4uioLhcP5ZLIZdD1DaJO9FCn0WIzPIi+VUbHoYHXWiCtuJNsnof71TvoqFJTazrC0sZvYwFJ+VW5Cl+ci3TdDf0UKvfan2OZd3BVaxX5FETPaQYIzX6PeOsPwlI47n0kwddM03eUyXr95Ccd1k8ybf8lptYtm83Kipyz0ZbvwFxezvq0IU3UbaoeNDw4OoUmnGBpOUtpQRW/Mx4rm5eSXGpgamAZRROZPU9JgoqfHT+NWA+HQUfSBBuzRMuZmxkjp/ADMjQ2iEutxz0+gSJjIKeFNXFF+DZMuPyOLLoryapn3eJEtmFEWQm29kwVlkhOnjlNnbyORyaO5tY7+/n4SiQTdAycvEtihQ0doqGrBNZhz/Ekmk+j1epLJ5LvGLQK/RbIAM24vXP6b+7xgEMQcyQLFjjJWtS1HJVrJqhYoKyt7F8leMH0fT+p56LkzfOeDLe+q1WbSKcbOnqKseTlS2R9W7+ef8V+H9zV1/Nhjj60GmkRR/OaXvvSlzGOPPWYC6r70pS8dfK/93xf3nt8F1xvwwkfAvpTdEgf3TSRobtlK5fLboHAZ1N2QExv5x8Cdi7KTgozdltW0B06xPOyiw3+UjCDhidKP8vdVj9AcduVSy6kIIMDSO9EEdqKxTrHJ24neP5tbO68UNnwWHC3g6UbqG6A1T0fj+Jvc5H2HZu/z9Ap7WeqbpL3nJe7RxpDY6rhdscD03CgeVT4xtYldptU8Mvksj3R/jZaSWm5oaGN9xs2ed77PYaWTQcGAWLSCLXkK9mDmfse9aIR3qA1NUNe/m2bvMTqGX0Dqeg1G90HjLSTHDtLn2ECJNMt9FRVsKm+lezpLy5q/ZzqZ4uthHZ/URsk32DBPRvj1gTGuLAhz5ciPqbTaqS2r4eeiHkXcx4REyYNCihsmY1Q1ryG7kMR1aj+uQQ1bNKX8VL+M7Y5rkOSf4eqGg2jOOajq6mVdUT3uIROG9BANYoDEwmkqr9/IqmAM6VSSt+eG2NW0EUe6B+eZ3dSFstwZtLHu7GlWmTYhQcJyYyMO93FIJHh9STOmzFLWTcmZWxxGE0mQ0GvJKmRIFwOIypzIsSRjwxZM4leLFPrM+MwKKrOVuCOD9Gj9NKdLEX2TZKRJTjrX84Mt7SiGT5M/nc+xmAptNsuCfivfa6rAKJ1Cc24PI0ulbFl/G8HO48xKBQ7Jhtg8W0Ssa5wxqZ4CbztWh4JdMhOvrdpAxXiWJdZ+TjTt5+qqaV6fuYUfVjxIKmXDHhsloU1TFAxyy47jLJTfRFPRTYynhnjdeZT2qi1M+GL8MBNgyC7B2H4ldwWv55rAFvSTi2y+9nbWLdnEstEa4t1OpPlxfqF6BrsnwPzxOQ4tzqL0zyNb9KM2KAhMyVFGrejSafZ1HaC1fS2+riAZbznBuQjqonHKljlZunQpVl0hE+5xIoac2w4CSP19KIqVBJXjmE1WDLVKli+px2y00LfbR/WSMoKCh1BsFkEfR+KxYmnMcuTkPtatW4dOq+fswFHCgQTv7N/F4uIioVAIn8+HRePEMxDBExyGC+JYMUe2F6Y5XcRl6eAyh514MkM6k6awqJBQeAFSCqrLa0ECsXguM1ldXU0gEKCw2M76DeuwOPQEg0Hm5+f51a9+ddHBZ3BwkOeff56iPAXtZXlsXlGNzWJi/Owp8vILGDt76uLUKHNhMe8X/lAmQ/0x4/c5GaoImLzs9RTQdvkOgiB8AvgEQElJyft8Ou+BTJoO72GeqV1Ox8JMbvZxww25vtrnPwKrH+JCs+ulSPYLOXUusLP8Tp4uvptHJn9Bh/+yFgFdAfiHMAeSlE0lMQeSuZpvcCKnYJYpIJOBoR2AgCLPwXXzPeAbIWupQl77j1jy1lA4/1nQW1nV+VXuXfJP3Kf3sRgdZ1hdzCOTz/GoXYNCdTVb938WEsO8HlPxQP1jZMUsq7Je3vDD3kCYpthe/lLMckN0FsvpM0hELkXp4WkoboO6m9hVeTcPLlgRxSzf9pzkX8fC/IRr0A+e5KqGDfyw9xAnNFW84fYj84X56PIIP9VVs6v+7xAQ+c5MFx9VV/BvkdzNTzkrZ+KJXzCgdhBW6DndtJJ7fXuZMSxlr1XNjeJLbPVEMb+ugPU23JlhxqKnKKjS4Z51EZLaWOtWY+w6wX7XWVrG5tiy7BqWWE5znTrLoUyKDcowE7iwndpJujKNLj9XG9Nk8/hkrBHT4RN0LOootrWTJ8tnWD7FAlkKYhGCiwGU8VJMBRkmZV5Mjhgk1BjkKpqj9RRKDYQsE1gXHCyVlzAqemnUb0CpfJuk2EODcpHTUTsVfpBNL9CuTfPxfUcpPPcSqmk5Kl0Nbw/8PTNzAZrMy/GU1hN2nWDGUkXYZ2GffIASr5262RjmhX3cZB8ltnyQO3c5ic6lyYvL2RRysWK0AE9WisGs4FwwhaGhmS/ecQv37t2L3V3KarEWd9Ucq54aZe9NWk7WJfi75HJWj1XhbU7TUnIT4dQZdu+axLJ3mKIlV9IbC7I+0E5gbJigYxNw3q/ZZCaYDiKaAhRLCpkbq2LddaV4JhaINIdYODaOXe5nMh1lcvsUVq2JqjIH13ywlZ2dswT985iLzeRZixibd2NSFRGbVFFda2fbC2+xpm01m+6t5+zMdjrPnaBcKCSGD7kigJjVAuDz+mhwlpMXbKChfClmu5YDBw7kvlPhQvzBOZK6mXdfy+9VVvwNcdP48CCiWg8COEvt5OlM9A2eYXCij+qqKvzBecx5Of2BKIq4XC62bdtGXV0dL730Em1tbYgiZDNZEokEk5OTrF69msOHDyMIAkfkMRxaJa/96Hvc/ImHKFu6nLZbP42zseX/+Rb1Z/zh4/fu8ySK4g9EUVwpiuLK/1aPxwtToaQyFC98hM19P0Txwkdy6eR0EpLxHMnal0DtVgA6/J080/uFdxFqx9hL/KT3H3l0/Ge5WugFhD0wvJv9plYedf49+02tEDnv5KO152rAR54iiYSdNR8jefwZ8I+AzoHEN4Tt9W8i2fYo9L0Gnd+lPXCCazNT/EhSw4imBIkg0KzXoBBEcJ3v7T32XYTpE4hiFkGA+13f5Kd9j9Mx+HPs/ij3BALUnCdZZJpL5+pogRX3wksfJ3NeDyIChzMRfhwvYyuvEtDKQCZHVryC77tzqcG0XYsqdJJPa0OIQDYrkphQ8g9L7HxA4UcAvrPg5MijD/OIrYVn9OWsPPsm5qGD2Mdfpb37dVYeysP4hoBz9SdYs1qDLTyM7vjzzB/aQdHABE6Nga5P3k1hy0qWqDUIilIy4gZWnw0TiMVZsnQF57au48stKzhz9UdQVV+LPmTj6MIkw6VypoNHuDNax0hhKf75s/iOv0AP2Zxa1RMlUVyJKTqCToghilkmAwOUyM30yiaRKOJMC8+jWLubbNkEbomPiE5JGpFZ1TVsF25lPrGU5nQZlqSKhDyOXBTY4C/AUHUn5+rsREuqqfzIJ1ltLmCUDK+11XJ801IWlG70wXqKrDVoZ0sxROYoN54jWv4GSGC+vBzNMg/JguNUBV/Dld9FR383Bn8bC7WLHK7p5fozr1A+7EKriXKoehCWL+PH1xjproyTry7g+ZE9HA0nOawYJy52s5D8FguZPURKpBj3vgGiiCO6GknDeq6752ZuufkW9Pl60pksogACAglDlg0fq6J/upuDnW+z2BuipGyIdW88jyViQhZW4g37Odrdzdm+3RgsJoobi9mw8grGfTMUGEsIJKeZNAzQG+0lqpvgaOdR5sd6GHv2dRrdDRRL7Bh8tSwvN+EsLEMZt9Ln6uPw0VdoOfsi3rFXSJelufnWm6mvakGW0tM7fAaZQsFlxsvY7fbck9RlphuCgFKZyw87HA5Ejf7iW8eOdZIRLsw8Fgl4F5HFzPiDXgYGBzCZTJjNZnp7e+ntzVW7ZBk92ogTecrMoUOHOHgwl5xbvXo1hYWF7N+/H3coSqy4iozWwIQrSOehIBOuIH/Gny7e74jWDTgve118ftvvHxdqt+nkpX7aohU5sdTwbnjp45d+Dd/2I0hFUYy8czGSvQCFmP6tbZfjXeR8gYgbroNFD/S/zt7GB7nPdBPPKPVs7v422JtgaAam3y0KO1x5B28IhQjAlvn93Ox9h03eg+d7ekUoWgXeYTb6jvDjvi8iirDJf+Rd5G/rOZ5Lrwky9ua1nBd3ZaD9r2C2iyRSzqUVCAjcZ0vwaPlaql3/htawjs+6TciEfdyQCvOpoqU87c4JYHzOq3mscTnNizEWD/VgOevjVd0vuUr2NLr5zVxVPcpC07/ypGeQg3MCW/NkhMNJkv7TLLWsRVrlQFlxE0PA9lMR6ssMSLaEWS12sGeymKODZ9i+4gq0P3ySynk/qtoCrNL9LAx1s7N0MzWTZ+Hre3l05cdYr2yGrIjJuYLCiIsTnm7sqlLOamf538uquSeYYOWklo3OUo5P+Vgw59KE7jIb6olhmgqXYHeZcDQspT9yCk3mbU4FgpSd2EowbsAnCXNO78eW9LNm3spnX3kd/XwfZ2prqQj04RN6sPiqqbK0oJTUENIGGJafZnKmEHv9JuYHXuaBEz2kYkOsPXeOWGkx+Vkd4+VOdL1xIhEVgiAQ8efj79nM4qwSC/OI60S2CevxyZPcv+sZ5CUt6HV34PTB2zVd6IOF2CM1vLL/57TNmLEVwIx8ni1rtrAvbxcHF3fTa38IYcTERMqCJmvmxMoKQpUhJsdO03iVA4khzuz4LKG5ENI8Kf7QAg6VA29glv1dO5mdmkQfjJNfVMz1d36IN6JLeN0vckdeOQGOEk5GGBifBBHK6+rRZmzo5o2kPQ70dkA5weK4murqauRRgcarVjARuRnX6DhXXXMdwTNjtN7ZxsxYjOtu2srOQy8xEwqhuLWJX/t2IH2lk7tX3ETfUB9yVc6hJ5VMIFymjr3oQSu/xL4qpYp4Irddp9Ve3G40WAkueBkY7Ke2tpZwOIzb7cZUYCOdySMUWSAQyEX4JSUl9PX10djYSH6xnqhuipTcj9Vqpa6ujmw2y7FjxxBFkaKiIpLJFG1tbaTSGSbnzrJg7COlWAIUXFz/Qm33z5Ok/jTwfv+HjwPVgiCUkyPYu4APvc9r/t9BpsiR68COS9vOT4YSk2niMwpUYhbB3gQj71z2wQvWdIBcB9kMZM4PdZAoIJtTPyqkyncTscoIx3988RgdqbEcEde2wvrPwP6vgyABx/J3kW3H0HN8NzDJa84bedO6lrvmdpwnUQGUxlw7kcaKQkyz1Xvgt/9OWz1EgxCZeXcK3GaB6dNw7NvsanqE70QNfKrYwmcrmxgZfYrFxVOsSs1wn+V2tBMPE+r18jcND9Pc18nu+k/znGih/sjbKEylNMwd5ftWAzulq7ha/s/sthXgFV9k+7Cf60dOsa18M0WmMhIroqySJdCMjzAszDMu5jNmymfn0jb+Kvs6alcNg3kOvldWy+3JKNd0H0OXTXJ43ToaTh1nSnMG/4pr2NG4mmL3FKaAH8nhV+jUVFE2v4BQ2kKJvgVjOIG+oIlURCB96AwrJwW6y+4n1t/NgjpMibaEMD5MnhAm0UYsby3BYinhhV76AgdR61TUJ/KpCtxENHYUp6CgQNOEYSFEZ/QAxvlzKCqvRCBNsbqCFSdcJK5I887im0wUqCFfS7tqGdodC6RNFhK2OjqCCmQsIWaOMiKpZtfsAbZd1cLNczJq+s3EK51ozRM4an7Joj4LMyL64TTXVb7Ma2tuJZ3SsqFnBFNeCx6JjIaYmuPW3UgzUlLkc3jZPJ78MPdVfxJOmZgN99Cku4dXki18vO5L2N45AWpQBOsZz/oYdv6EtRN/xXNvP4clL+dIIy6IOOfLaN68jEOn9xCJBxEECWGTBnFOx47nTzEUHWG1WmBxToOsoBS/9BgOTzFC/DQGcyPn1G+A9210y9RERstBqUMky5DYg8nk5ucvTDDviSMIAmfdXbhn3fi2Kxg/EUFqdxNOnJ8WZapl1XASfbAeW52TPvpIqf3nr55354qDwSCIoJRr0Snz8PsXiHO+G0QU0UWj1NfX09fXR3Dxkhi3v7+flStXEgwGCSzmRFCFhYXotDqi4SS33XorJ0+d4ODBgzQ2NnLnHXcwMxrkwImdF0VWtbW1hEIh3G43bve7Y4kNrg+3NAAAIABJREFUGzZQXVP9LnIdHh7+o5gk9Wf85/C+Eq0oimlBED4N7CDX3vOMKIo9/4ePvX94L2MBePds47t+kYt0G24g3uvDt78Hi/yfUNeaoe3BHIFOnQS1DaJz4DkLqfC718le1mKQjuTStOnzmoR4EBBybkH9b6AwlbLZVp0j2QvnmM2AvZHkMdibVNAROI0iG0MtJnlT18Qjk8/S4e+81Drk78yJJzU2iP6Gml9fBCE3zPflXqttl6JsdQb6cylEGm9CcJ9ANFzHssggComTUd2HeErYwOLEL/lJvpaG4qdxp8cxWg1cd2UTa0vbkR47QHxyG48Ln+IfAsN80uhEKR1nW7qSta5FPiTfS62yGvnwO4yn5ikITVNc3Ix5LoZlGvKtdzDfLjB+8nUa+6WETKvp9gVp8s1y77le0CooSycpjWmoKqgjvmwR90wM3byB+4500tDvola5nHBshrcdEvRDLsJRIwuZGEbvIAZ7M0K1wG0RC+GlIdbNhlDTgjwxRD1VLJrTNC8k2WMb45llWv6F1bTPp5hWzjNqzLIojuCdfZWMf4g53SwOWytv+7cz4CyhVjCRjAyyXL8W2/x2UktuwKZvpWX8baTpAKOFeSz2DqMq3wDn//0ybZZScZHODgNlb/+QWFjkk7qD1J04gbS9ALVpirn5EpQyCSUl3VACA51baZ21sqA7R523k+LyJCvTMoYSsyj1lWhVYbZkUyTHNvBGwQmudqgoOb6cybPdbDVuYTzWT+mUm89/4Bp+9U4Ib0DCjFbJUWcbt06XMH9qBnTgC86h1ZhIeZKIvj0UWZdTUFyMxz1CaW0Em66Dyb44vj5YtWQNzjWFTJ0QcfX0YzYZqFrWQDRgYrJXz9yEnzzL1ZyKjbGyphxhwIq5LY1MB0bTfjp7MyjD7WAO8yPvD7gz7xb6hk+DEYiLSJJynMXVuE8lIU9gxTVltF3RzNziBC5XTmVMKkFtcSFDg4Nk9KZc9kmATEiJLzUNykuXgV2vx9myjNfefINqZzFD/X0UFlZRVF1CyO/lYlvheeGUVqtlcGgQMSty+kgftmIb7e3tlJWV0bnvHKd3jaOSFRLTuamrq8PlciGcrwVXVlYyMzNDNBrFaDRi01XQ19NHf88oPYOnueuuu6isrPyjmCT1f4u//uu/LtTpdJnHH3989vd9Lv+deN9zFqIovgG88X6v85/CbxoLXMDls40vs8JT1ZiwNHWhcp2EwXTOKq/3Vbg46k3ItfJE39tR5CLSvyH8a38ErvgcHHoSDjwBd/08J8La+89w+OnccQXYa179LvFVh7+Tn/R+gfbAKfaaW0kh5ZMNX7wkzvL2/fbaWkuOaC8grxhF3Mdm35Hc67rrwVhKsqAR0bjAt3TznEtWsOLc65xWNfHPRYtYxDepV9cw5nPwzsFRvmz7Ppb8azkQbeQ5oYCHS+L8Xfgoa144Ruzz9RyZ+Co3Ln2Sh5eVIt33MJbUNEUbR3B6Iuj+PUqXM4JVX038plbuaK1mqu8VrLvH8BXP8o0HHuFDnjOMd77B1qoGDps0BH1Zsku2kp6SMqYoIFAYA0aQJ0UGmpsoTTZx2tbOj5sLkBc3cI+3kqH+Z9EYtfw68z1WD1qI+sc5daeWjWdX453PsFKsZ5cpyVeb7fyTGObGsSjVpyPoZ3vpWphm3CFgCSZIhoNME6BcV06T81ZERJL117JtbTN37Po1RpWCvplJFkTwiueoDmrwlspoFbaSEbqQtFRx6tAOaqxruUrfSIVTxcD8LCvG1zEqBCnWldEeXMKxlgnUMTWe0SLme5bSkD9E3oiDnrkgXWILq1jgA6OFaO0VSFb/nM7jeUyfmSdWWYNgG6Gy5hR7DAOkNCmCx5cwMdpFQjhENFxGKUsZmBwlHoqgsU6Tnc3HGTSxZXSAilNWiGdICCFEjZ6q6jLOxk5j1rTT7Q0R7dZhqfBQkr8fbzCPuYiEamcDzW4HyRk10vYx8qM6nNp1THb7WDROoFdpMGRM9NT5cfoV+MYDtFQbyVP5eb1PwGi8ApOqjTndNCTh2tmtLKSjSHyzZK2FyCIK5Ekn4/MunJU1FNXVkmdVsv3lty628phNJvyBAAvIcJTUEw/NEhwbRjTXIxEVGFRmFhP+i8Q5G4kwMjSDmBWZ8gQRNXokKg2GiJzeN1/FtGItgfOmBACDg4O0tbUR8cXRBEd58Vhu3Ww2y+Fjh8EIteVNmAqcF6Pa6upqBgYGmJiYIJXKDU4NBoO8+NrPQJrTBRjzLDidTmQy2Z8j2T8h/GkVBy7MN76MTIF3W+RdBoE06qWFYPqLXKQZHD8fyV74MSZeRrJCrm1nYew/WH8TWGvBsYxsNoXPKMVy+4+QXEhdH3wid8zVn4LiFXSceykXeS7mCFQhpunwd/K10nv4lvODfM/1ZZ45T7w7Le25yFZjgcj587M3gac797x6E0T8OdGTUgvZNPRtR3RtJ4GEJ0s/yrecH+K2UIAXhCgH3AFOGL38ZUk1W/Lu5q3Db/LNxr/jrzbm053SU3tugCVnJvnaCi3m0nzWrbqTxNdrOWap4G7lSp6eU7PJP0mr3055QRar/V6m+QmBj1binbOQr7uNx2o0+JMJlk2UMtfYwVC5hBt2vYDDW46jpoW+4UFCQiXqoA5XspOZfC3KiWFUBUXEFQoQJBSPjmOQFZGlk79wXcEHvWW4gscwVzaRJ21k6/Ef4DXo+PfNn2WnoCMrjpBQ9iBLKphUCYhY6ZVN0SzJYpgZ4LRumuLIItUBM7OefiTZDIJEhk5fgojIZKSf24Vais/EyczHWYwOEM8mmdVnKYnEGS6exq+2MpHeQTarQzU9Q23xGk5ow7ROdXE6HGIxBOUFLUStFvx5AQ6HRonrR5lM3Mzi1DCrNHuRth4mcOhqjmSqeK2jhYrsv7J8dILwWCtneq8gMmVAo12BPSQSPuWkJ6vmiH4SnS+f5ukOxksOoBcr6LF0YQimaJm4kqee+GckEjUaiYxwfoiuzM+I5l9Pm1CDmNWjDBcycTIGMoiEnPQf+AV++TVULTTQ2wOCrJrCAjmzA2mO5I/g2RZioPAglqwC9ZQTTbyYCsNK5gNhJs357Gyo5qZONwUJFdG3d2Gb2kHbQ59HKNxMVhFGahAZHhhGk9Gg1inwCTo0iKS1STKyWUBkcr6fmaAPV9oFIkSENPbgEvIrZfgDATyzs7mBF2ozGZsUUZkkI3hIJqCurg4hraRv6Cxr165lbfs6Iv+WYNTTkyPfoTjBlB/L6i2M+6ff0xGoe+gsvskp8utqmYtE6Ovpx6S3Elj00j/aBZeZten1eoCLJHsRkgsTqyC46OPw4cNs3Ljxd98n/sjwXjZ5hw8fVj/44IOlsVhMUlpamnj22WfHbDZbZt++fZoHHnigTCKRcMUVVyzu2bMnb3Bw8PeXBf0vwu9ddfzfigsCqPeaDHU50slce49rO7x4P5Sszk1/GtpxGclehupryTlV513aps6/+DQrwLxZQTaxAMe+DS/eh+/QZznn/yG+1GBup6njXLzS/SMwdRJFeTubo30oUoGLx9prbuVbzg+CICDNZtjsO8xh03Lua3icveZWaLg11wMMULaB5B0/Y2f7P5Mc3perxW7/y9w8ZqUe+rYzW7iRDxu+yNMlH+ZhfYRVmlJE4EReIzdaDTxcakcSWEH0qJbPv/kEHx5bxGz8X9garkHVYCISdJFdeJOuV7/Bqbwyfv3iL8hGHfygoYwtV7fQXdjDs/NfY/i5OXq711Oq+wCb7v4YGxsKeERrZOKHu2F8BqG6mWdXtZFSSlFtlKA157F/VTsNmVJsEiflXrhKKqOxqIS4PEeyykUtpZY28my1bNBu5d7JEsTBXWT9o+TLGglMnqLfLqHzig3sqtPR5vZzjd+CIa+VAtHChzx5fOScC01ggLhGjSmTxJjMMGXTU6Kto1BVikNXg1NRTp2xFQEJU+F+Oj2vEB96BW9khFQqTqGmgozOjM4fom4sRXOqhPaYgSKJhDuzH6RFuoKlswKFEyP4gxompQHOyE+RsBYwo81yZukU9o3dNJS9wtWpBsx9ViQ7N9M3kk/VQDefOH6SNaOF7CqfIajrJn42RdXgBGbVItU6C1XSEDdOfozNoc3Y5voYMD+PXpSxKI8wphpDvzBJShlElKmJxsdI0ksqO0fH4rVUixlS8tz3SyJIEHwmjGkrBboZ1qy/m6akgkw6xKJ/BT8cMyCkjSwa++lJDJOQ91FRE8ChryCmnSCt8pGIHyds7qFOM81th4IU++fI2udpemADvnu/ylCXlcWIn6PHjjLjmqGyJpc6Lc6vQkOOqBBBVJ4vxwhQpc+1/UWFDFpkNF3ppLFyBRbTeXFRWkko7r/k7AMYjUZcLheLoSCFhYUsW7aMAwf3I89LXSTTpG6GkMmF3Ky9uNblGOzP9QTPOIuZO+8MFAj6CIS8lyQaqUv3kq6urt++N7zHcQsKCt57vz9CXG6Tt2vXrsGzZ89qAe65557yr3zlK1MDAwO9jY2Nsb/9278tBLj//vvLv/Od74y7XK5eqVT6B+nU817404po/7O4kGJe/VCufplJw3XfyBHw6CFI/oZU31IJidU5n9oLaL4Tjn0X1nwan0nKucV/Z2lfF7b6G8G1HUvBZpZmarA0PJRb78h5dyBEGHjvTHtSqiGFlO+5vow0m2GTP5f+7fB38kzfl+kQ50hmRfau+RIdggyFtZK9Aye5z3gT3zV8iOurNAgRNzjbQKGDDX9NwcEn+F+rb2TOFOCq+laePfgqgtDAx7MJvtDYjEIiYV/jcr70cRvXRDwsLyrg+0eOs6b9FuwNhfzjQIbbXffxN+PL0AT3kCo4yv2h6/h+1sjzx/czvuDnthM27NO7UNnt2DdVMxNT4g2d4eNX38aZ1lKqh5Voh7v5Kkuw9maomj/Hi9EYuz7yKYqk3cjnXNRWtZFJeqkZfAeZz8/4yiWEpk/RLQgI+QsIjnx2T57FqB0imkzC2Hai1msRp/sIhI5z7Vg9b5ZV8+3IOG/WlGI4OkzdjJ+HZmo4m/JSJDdxNOsiqJBS44sQd79JNk+P07GOyZmDnFvYSygpMBMdIqXVEy2oQp3UUZq1UVC4np32OeRqIzpVPjVZHfljcXpl/XQaLJAaxaQswLj8AcokPoYVClyTZ8gvW0LEUMILNS3kDftZtWQbs3vleMUx/KkVVCorMWkKqfPX8POklG9V3M0tKR/VySNMlyyj3/QqbxfoqF9UM5w4SNKbYWt3EWMaL1lHA0KehGv6WrjqRJTeRiNxqQRRXkvKmiST1DLEWdYHb0Sa0JIyJNEpkySSAUKyeZLuMSpmVGgcekIxUAfNfDJfIN4rUNhYR0Y7gat4B9fnj+AeqqTS2Iq8uA9L+S+I9W5g3iehWPAR0/gIkOGtQILk0NWMGc+gShdRYq3D6FDhcg0BMDQ4DDKw59tJRQXi4uJF27tIIOdVq49byKiCDJ320Bk7TUrlpb66hYRXwUigM1dxSWoRlZGcMApwe8ZBgOeeew6vN6dfsOoK8XlnEZU5I4KhocH3jGb9AS8WUz4l5UX09nSTSCRzdeCL+4ogT170s/2tSPY90N7eTn19/f9xv98X0qmkMHjssKG6rX1RJle8LzZ5kUhEEgqFpNddd10Y4IEHHvDdcccdFV6vVxqJRCQbN26MAHzsYx/z79q1y/j/9xz+J+DPRPteuJBiTsZzF5ZURlalY75uKYJvN1bfpWE0WKqgeAUc/S7UXJdL27pPkXU04lt7K5b8pVjqrmXpfDMW/0uw5avQ8kEklVdjuxBZX6gRjx+FY9/6rdO5IHq6vCbb4e88L4Q6iUJMsNm7D4CdQj73aYM8MzfL5r5H6RBkfLfCwpL524gXdCEd+AFv29YjLrmDttaHeVpVzyM6CbMHnubl5C14pHsQxAbaasuZPH2csublIJWBIPCWzkEgneBY/Up2BTPclZoBQSC/5QZ2FZ8gv/laOhbsPD27wOwpP19QFvE3BgWO1iR5KhnS517ALUJn9G0amvZzPDTKLbc/xsGvbMM4eRJprJ8BXQ2JgV0I1jR3nduDJBiicjpIkdnM0ZmD+DyTxEwaPAo9Kq0OSXiBszP7WX7UQytwqsyOgJRUnpZIuZLG/hjx6UlW79pJzRU3sSCP8slxF0Wjo2ivWEbY1c3Q3H6OVSdoHj5Oy3wB2tHTkE0zYWqgX3EOY8aDOzBMRmdAKqaRRUIUzUXQCTI0UjmnrWp2NrYhW/RTnEripodS/RTJaJKpxR3UlaylTtKGK3gMJQJXm5cyqZMzmImyPBvCfPwkmskIvfEOIkGBlR4RW7GT5SYnUgRcwRMYjDWAhEKJn0yqC19JHqKuhZ2NrRhmd+Ac6kRf0ErfMgWKETc6YZ72ZCvjQT+vLndBwVFqJ9aTsk8SJsqI/iz6jAZZXMei/CBptZyge5CMvYyOVDOe0gK6Z2aBOUot9UglMJo8hU5Zzzl/D7qaCKFDOt7K1FEW1SNxK8hKGpDr/oIr2jdw4s3TeL1aMPmwlQYpc76Je6oAh7+YyWEX6kgRE17XxbGHoixHUp45z0Uik6TU6I0mghE3giCQUQexyipYDAZIaXNRZWhcYGEuRPOy9VQty+f02yOMLJ7GrLXjj3pyMgqVDoPBQGlpKdFAGt+UG1GZU+wX5peiMcgZGhrCYSlifiqKVJcgkYmCkBOIieNpEsnUpcEXF020BJRK5W+bxl98W8ButzMzM4NeayQUCTI+Pk4mk/kf29IzeOyw4c1vP1EJDNev63hfbPL+FPFH797z/4QLFnqWSihaBtWb8AYOcG78y8zZlBga7kXr90IsANf+C9TfCPaluceVnwfnKryJfs7FXkR/4lV0xia0p15G6Hkll7Zddn4wxuWWfaZyGD8Ik8f4zZ/Wb1nWcn/jl7k2cILbZ9+6SLI5R6H+3NjH8ishOIZTraJ5/hgd/k6kWhvSZIiamkZU629E1bacPVI79wmtbJ8PMhSe5YWolWGZiqfyNrIj5eADJY3c5aymZGqUb7z8CgfUZj5U6qApMkiFtZgvVpejTE9QlFHi6u9nizFBrT3B5xPFvB6IYR2dw/n1nzG1sJyNajdXJfvY2XWc0iY1BXc/ykjtGujxMhnS0tM9im64EpnXQEVhCzusnTiLBUrra0hLRLLhYeq6JmmeS5F3VSPH1H14Q0kCtWVkpDqsnhlSYhoHEircc7zTnMFpLMCRsPPyimq+11SOaW4YT4GNk+VlXLlnO8pIEFFjYLDYhAUddQ/cwDZPgF+s30jx9CTR0CizeVosUgnypEjAkU9+3gThpJ5YcTWSRJRiWRFXWm4iblLSFXaxqIxR33uGup5zJGUGzD4feRNDBPLz0WkVzM6OEEh4GA13UeSLUWpbjddzAkkmQ2DoBDJPHxVROwblSkrGZ8jWbuCMJYYynqZAYkFAztKMlVLfAksiSU6XOfn3te04Fzw0uPsp7ekEZxmZaTdZ3ziV8TIS4SQ2sZaxrBZfUT4J3QgyqRyNp4QgPVilBowZPfF0D+q5gZxVRF4xaaWMmAi+oIWkyodiUYsuZCHsM6KRqpFELVib8ikf06Hp6qNh4QPUqPMICTFS/x977x0l11mn+X9u5ZxTV1d1zkFSt7JkJcsWzgnb2GYAw2AGh/EMw87Ogdndib9d2J0hTgAGDIwHYzDGYBsbWZYsWcmSlVsd1DlXd1V15Vx17/39UbJsGA+zB8wMsDzn1FHX1b1vXx2d+z73m56nbMJh7kKcTFI8NUvSqaSiTtFku5qwR8nAwBirL+XJuuykEVGoCyBAsaJAJVRlUlrMtbgDjZiUDlSzjShiNkREBE0ZCZFV6zvQJmtIZ1N4dc2sJFbIWSdxuZ30r+3ntROvURDTiFIF8fIMeblcIp6Io0RL6nU32byEypSnQgWVSsNiaB6ATD6NtuiioFrBbLJSKlf1ki2WN83p3xr5CoJApVLhZyGTyRD0NZKaUyBq0qTTaRQKBY2Nje/QZlXFOyXBaK/xlxz+QK5145aUQqn8he/r37LJGx8f17W2tuZbWlpKn/rUp7xut7ty7733Jr70pS+5e3p6co2NjeVPfepT3omJCd2jjz4a+YVv5D8A/5kSjL/eeIshgdOxjZ6ev0MAnIe+Va2j1m2qqka9YRD/vQ9e6Wh2lrbRexGcO1pg8QwM/qB6/qbLqeInfwe2fYzSVX/MwVSBndFjaI5/ERCqa1oCMH8SQmcRNBZkWUZt9rBn/EUAduokvmZZYaPzBuSVUwg1q2D6EJrYGHvaWmGlgnT1J1hJHse64Q+ZXYjSrG1m584P89VwDHnpAhtb1lI/NcCjijgnApsRFCqusenRTB3gxdp+nrvmbuSygHvwFH/y4t3c+p7HQX89az29fGF5CjnYynL4ALsD3fwveYiyuonkj56EG3YwG/0a1z02wcrvdDLRt4rT+h6Ewy/zZGo91xRW4zLb6d/gp+6IElkHw8nXaAvWETp8ihlXDSVnDddWdtJ0nQ1xTo2+t4nNpQkuaBLMqTw0CgK+5QhZqYLD7cF0z710KeIwtoQ6OsnGESMSEsZMjBmXhR9tv41NyzJ18WWmbFoQ4OzocU5/5hi14Qz3Smo2nDtJ2KYnodOQzxdx9O3C7pgh2DVC8dU2HIk08UyWKZeZ3MozpDUiFq2PvCTRHQ8RU5fR5pdYCTaR1gsUXV7EaAgdObQV6Ojo5dz0DPPLzzCkn6MrX0dGcCHLy0wyiX/JR0Ptduw6P3J2lA5VMzIy48nXUSr9LC2McbStF398mbvOnsYTPU8pHMLh2sqiIYNssBHSqhCLdbjyQVDKqMs6ti5vQlOo54JqlqJSxD4/gOy6moglg81nZ9zVh0ecRpuzoc0JVBJNOBwyctQB0f2kjGY03ixS3I97vQeHNcXxiTPU993MTKXEj61puibsKLUxZi6KlLVJ5NpaCsYR9Nk6Fk8o6HTchXlznOlSFk3chhsZuWaWmeQ09dGrWHCeRSmHiE9uAVMChuxomlaoa6zhxMUQyGDQmjlx4jVsGh8lXQxzIMCiWO2oHxw9S2wxS7y4iEowUhKzVwjRZnWSSK2Qq4QZ843hlNUggV5tJp6IvFlvFaCkzGBOdNC52svJC4dobWlhbHz8zT3hLe/AP21UoFKpsNlsV1LUb5jGm4xW5oznAKitrWXTpk3v5C71jkKl1sjvZCR71VVX5W6//fZYT09Pt9PpLK9atSoL8PWvf33qwQcfrH/00UcVdXV1xW9/+9vTAF/+8penP/rRj9YrFAo2b96cNpvN4s9a/9cFvyXa/0soFBq8nndVv9y4HlBU67bTh6v13Du//hMdzQqNCXf/J6pNVUc/D3UbYf4UTB+trrH1UTjyWQ46t/ChuIPHTAJ7Nv9+9YE//sVqmuqub8LiGa45+kW+4Wlj5w0fh71RShIcbH8vm7RrSF80od7xLQRfN7rNKoRjn4Xeu2Ht+1mxKRhIHcJx8gs8e0TFzXfdxQsaK72pEa57/j40d3+dv9QAT97Ptdv+iIPdH4XJA4jfuZ/m9f/MZ1b183goRkONn8xdj/OqdT1yOMFai57rHGYMuTQ3ru6l97mLBL76GDWf+xyxd38MzUmJG7odTCi+Sry1wPcV76Z46If4ZTW3CoexLqUZ9AZwTOY4tjRFm8lO03t3UTl7iZC1n5JLJjA5iWJjC4uKDA5FE8+Mvc7C6ZOUmltpKJaY0qgptW/AMz/AOUFEPjPNpCaK0dnK4pZWNg0tIMQOsLWhEfP4JOtzx1C2XUddpIQ//AIZcxYpHUPKLFGv2c57sn2cq50hJU7g1zdhyB/HKRQZm3IwzA5yoQLX3bSLs6eczChKzF3embeXOiknz1KJJlFY1tKp0WMttVERfMQqWs47oSWtoa/mNl6OvIBPdDFfnqTLtpqtrt0MJ15jKB7GUoCA24ZLFyAviBywFHEsjOO3tSPaagg1DDAp9LG3awN9s6P80ZhALGNlOrfAGVeYjkSFtuFhTgetJBtLiOkpDujVoIGEGKagyqBKxakUZYymGzHE1chinKEaDy9193LDWRUBeQx9NkhcN4y9cRW6M51IRh3qNUaW42M07NJw201beemF55EFmRWNzFypib1dZtyaKQyLF9GljBQsWYxRO+Z4B1aNl5Q2wtGzx7HKDaRsUwiZGrwNVpZWFrCgxt4qUWhUkx9wkls3wlBolDZLB+XMCopwVdVJpdSSK1bHb+LFEOqCA4k359UV6Rhrt3h4/aiWeDaC2aJAodaTLIQplaprpEYmqWnxEI1XsMgq8qXqeqq8HbvXQCS1gKhPoHMpmIqkkJEprsxgTKbIWi3/7h5RqVSukGwgEOC+++5jbm6OumA9yh8ouDh6hoWFBaanp+nq6vrFNqRfI3z6059e+vSnP73008fPnz8/8tPH1q5dmx8dHR0C+OQnP+kD3j4v/2uG36aOfx6o9dWoc/pwVboxsLY6PuPpAEmkNPoS+0UHQYMOpb0BkGDgadj2R2DyVSPfjQ8idd6EoXSBjToTu370fpRzr8Hmh6vzut23V/WYSzmUg9+nOXwCZf0WuPqT7JftfCjuZK12ns7+HjDVsPydcY6s3U5j/3aULbsgMYvSu5VzcQcbX/kb6q66h+ccbXxhLsLzBT19wTaaV91Eyd7CfsHFwMhRPsJqlgtaGu17OPCijqEGLXtzOfbG0iidLfzpeIjnIwkWihV+tJJiy8Xz3FNSE/mbv8X2wd9loezkbHoOjvyQrp0bMGj9hE4tckd9O9e3NiGFppnWGFlV70F38gSm3jW8poTOvU9hc3sJ3XobxvgycyjpunieI3Y9ysP7GapV8j+617AncpzGgSzuoVNI5hqusd5AZp0PORalr+4DeJNZ2j3XoBAUdFq2Ei2ECC1douRsQFu3k0/2GVHMHkM9fxZfyUmuHMcbl1BYvARNnRR+gEd7AAAgAElEQVQ1USxpibXBu4lrUij1EiVZx7xoQ511Yp1OYFc3MqOMQioOWj2p9DxxmxZ3IoWzoYsZ/SLWWIGElCEue6gbPYcmFmPAGGbBY2S1aT3IZRYSF0npFKwybSBRDOPRWtC4O0mnZvgX+xJPbN1Kefk0dfMzKGtn8K19heYRLekYnOjoxTI/hCcSYaC2jR+86zZMlQIyehSqdgRdBWUxAVo9MqDN1UMxTsWqRSsYkCUFZUGkLJ2jt8aHO2KhZUzLrH0QrdOCuUtP5TUnCAKC0kFKlWJUN8iFzCC6eJH+U7WIdUb6ezaTORHHG1nAd+YJtJIbm/4AlVwARfg1NNQjiXYUFTU6oUA5a6SkX8GcC+Kss5FbkNFm/eSTZY5LR5iwD7OxcS2K6QqSKo+m4ETQKiiU0kiyiJBLoShkkbQ6JHWBWDJ6RSVV1urJZXUsZ6ap6BKU5CKlfAGUMmWxjFBRI5kMiAUBl82JmDAgq/IoBDWiOovX70YQqjKOuVIOeVqJ0qHAX9fMQjpVfezVaiRJwufzoVKpMJvNGAwGcrmfzM7qdDpisRjKkplsokSgwYtCLSHLMisrK3R3d/NO67r/prj3PP7447b3vve9TZ///Oc9yWRS+Q//8A/zbzRS/arjZ6WOf0u0Py/GXqpGsoG11fSyQnnl+P6X/54PCWtZbTHSbDJCcFO11tv3vmrzlH9Nte679AJDsS+zRu/HsuqBN8nV2wXudkqVCvtDCwSdNSjnTkD37cj2VtwrBtaqZtily6Nr70JlV3NEOcuDFVjdsIrm+UPw3fdxwLmZhzLN9K+5nr617yIlCgT1ah5QzLN73x9QDps5VMnyu+U2qF3HqKhmQFRSNOjxrw/SFDCzdyXFg0EXf1Dvpduop96g5eMNHsov7+eOf/wMyAJDj/4R8mSaf056+fyaIPnMNPPBBhRNTj4RvIYb5TLrN21mX6CdbWKRsbYOZqeHednh5+l1O3BlEswWxvgT9xpUzW18x+XHO7tE80KIRXUBx/wsDTNj7HCvYiTfhG8ljNBkYiZyCb06T+PkJMLEBcTZE3x/lY855TLKqdeRpDDy+g1MqwU0i0P4R0/jnDtPi76ZDd7bMBUrjKtWyFTiiJocTQ6BxOnDLKmTDBZOIpZrCdg3MK2M4CmaETMLpHJzxKw6ggvzWBfmSQoVtCojYb+XTOgCLM+j1bvxOTo5ZxxhUmVidcBNUlWkHFlASkXIpaMoBZGZWhu55WGWs2PkBIEBT4lCdhnV/Flc6RiBpSkS6SlCGLAl+olMV9h86hKy3oRFXGaNfi2KvIA3PsfupJ4FY4aAoCKhLsFl6z8BgQISupKBiqGAJm1CiO1HtNSRqzFQyZdwTQVQykrk9gIN+Q5ORl8log/hzTQCInZJxBtZS1O8n9cyp9AnGgkv6rF6jEQm0zgzWpQKF+b6EI07XidZcSDmNqGS6zGYzlPM5iiv7EXUaNCX29m4tZvM9CmWlBFUop6sZZKA2ElUTuKK+CkV0+izAUzpFoSYBYVJolIUkXUK2uq6iIklEKvNU2/0J/lraliIzCArKiAqq92Kb0yHCIBCwmTQUyqVKRULyOqqmYB8WXwmkYhTKBRoa2vDVrYQL5cpCWnCkTfLg5Ik0d3djc/nY3x8nFwuh9/vJxaLYbPZKBQKV+q29f5mpk6kGY0eJxHJcujIAaLRKNu3b6e/vx+F4p2drPxNIdq1a9cWHnnkkcijjz4auf/++2O/LiQLvyXadxwlSWK/5CTYvBFly+43SRbAVk/QbKNLVUI2eqg36FAqVdXmqjcany7/rHesxpyVcXY/guDrBXf7T6y1/+KrfGjFxmqXh+b+26H1WgojKyS+PUqnp4hu3wfAvwYhNk7j3vexetV17GzsQBkdg6FnCLoCdHXtRrbUMprN89GRWT5a6+SmxlbKYTMr57tonvgb1tVb+MC6dzGdyzOeLzMgK3mllOdOn4M7fHbu9jk4tpKEpXP8WVhijUFNRhogmCow81/+Ow8lRTr2fpfNF16jKJ/C3LeFr1gasEwcYtDawobHvszLnlr+LlVmbnqWJ1xBNp89g9Fu5ExNM9fEB2nYeQRzoplPrN2A+tAgF5Ie/Ko+NNIUh7ftxBOeolyIk4qfxptYgoANeeQC5alpXPPLCCYPP965mS/u3EPf+VOok3NMtXeTnbqEOhXHI+YQS1mUpSJ6UwZz1kCNewPG+RFS5RjzpRXmV6LMWXVExQQmQyvTRht14+dx6y3UWj106TcxIk6iCk2QLWfJms0Ugk2UNSoCy2kMiThOQx1L6UukNbWk9Bk0BoFiepyGUyvkDUoWrQLx+iAFRCypHOmiFX0hSUaRwSda2W29ASETwxCdI97UxKX6ZtRaHUuZAkmXHVlZRDCIBKZnCBs0LJljaONzaNIxapQ+NgqrKFWyZPNOJEFCVpbRikbMuQ4UZROCwoiKIIqyCmUlR+NECHODk3M2B/ZJFaZsEUGZo6gok7BkCYoa5s1DOGUTsilGImsDylgtcWYzMYSMGkvNIDnJSVSTorxYR3Y0habcjFweJx8/hiyBaG0g75OosRuZHxtlZewAWqELTbEBWavAHK4jkKtDG67B6DKjCddgahYoxaFEirJ+BQSoda5CHPGgsSYpiIVqAj8VJ11+SylPFkAhIyhUzGoWcOuciGWRUrmCyWDAYfWSyafRaDSIUvU6vc5ERSzR2dBP6KSJvs2dpKUwbrebdDqNLMsYDAYWFxepq6tDkiTS6TSxWFV3+YqhweUQu7OrHY1VIppYxuY0E4vF2Lx5M7t27fqldBz/phDtrzN+FtH+vyVY8Q7hYCzNh4bnOeja8q/FL1QaNAKoj36OjwzPcTCWJlOp8OnJEJlCoVqzrZSgUkIxdRh3zx9SURl4KZqkJP3ky9vOzq085kqxs+PN5gmd4gxO1f9E56/Aex6n1Hg1LxV1AOzRFtAoFNWoeNvH4djfc3FumAcGp7kwMwyShLhwDlQadLd9EOeuApatm9lz+BM45g7yj7oJ/nLoH9g99Dr3GJVsd5i42mbkyYERPjg4S+XwF/iKdYWRyb18RrGO+3er0Ckn+FqHn9v3dND3gR7e+767uMMCgYEZ6n3dfKYUY/3VW3h0XQ/3ZFfoXJnlgy8+TcPsGMbTx/jLofPsKVzH0Ut38oRjNUf2n+YD03oeUSxRM/0NzjXXsa97I7H6LiKRZRrqm1je1cfQ4hIZn5spn534lpuIbb6btEHFo0//Mw1LMyQEkeDgeZolJc0T06SyIvlAMyalnc5EFxZnN0cLxzhmXmTF56NithDq6MbkasBgCnJ8bT9fefedfLuvltDYUZ4sXeLFzI9Z9BjIa9VAdT+vmYzjj6pIxSYw6rwEa7bh0ddTF5rg6lI3/nCWdDjNUPseBJWbsqsGgIqrhmIlS40yRUGdB1lg0uVFEpRosnEMsTlCZgUvrr+GaacPS0lFb6UO1I7qZu5qZFmfAWTUpSL6koJxXZxxcZJZcYKcZZGS2o6y6EKTNSAjUtJHyNhHEZULSLkXEGQrgz0+Bh06vrfVTM7noVkroCp5aQvtxBkWyeYs1DpqEbxxslNPEyilSduHWQ7vQ56Ioas/S+3WL1HvXkCd91CY24NW3IFK3YTZuwWFpg1ZmkAp1hC3drK8kCFiiiG4r0ZX6USFBtWKjaT5LCnbMGVtEi9NCIKSuoCXkjZO3riALluLS9nMwskKCllFwNdbTW0LAi5/EwAOm6cavSqly9Fqhb6aHkrZ0hXvx0w+T3Q+d8UkXlky0+jrJl+sCmR46sz03GqmYl8mFosxOzuLdPm5zOVytLa2cuzYMWRZprW1lXXr1l2x57NYLNitFlpbWnjtxGuMTFYFLMbGqqI0b2gh/xb/7+G3Ee3PgaBOw2qzgZ0OM0pBQJJKRFcOotcFEAQlLA0RPPMlVvfsYWdTF1+YCfPZmWWUiSmu+sF7qqnj+FQ19exfw49lDx++OE23QU3bwqErYz9KpYpmXyPKyQNXzhVadyPXejjg2kQw2MPBRI4PzZVYveZGmjuvfjNqDm5iv2MDf5qy8XCdB3cqg3Xv09zQ1oMrUIegUiEHajl8ZoGhTfcTbNlBaMnGtiYrSX8Xf5+WcCWjGIcPcHT/MVzpBEIkT133Ddzeuw5VaD8P5QKs0m1gMTtCy+v/lcXkEh3lJhrP/RnKtnfzP421dD7xDSYXJ/HX+Fg1PYrdaCZUypNRVpClEKta/IQGRghpVWw7eZzWyXMMpSZovHMLixkFea3E2gtjfEAPi5EIy8koyWSWsYZaGsNa8vpOHBNjqDxKfKcOE1TBxbYOapfC+JMZzvauJq0UqRTTKAs5etI6gs23Ma+IcdK0iE5vIuf04ynqqFWbMBlbmbKLuAsZ7Ok4/kKO0ZoAz159J5bIBGZBQJWKoTJoyfqb8cRnicgrCKU8Sb3AJUeZcmYJ01KImCKFFJ7AnUiQDbZg12yiR2VFRiapyNEVLrOp5k6ilShH1+3k6Y0bccwPEI2fI6vTkvR2MVJbT0t0llr7BPmlLPnoOEFjgEZ1GySjJPQgGUyEFEvELQ0U56LMeQSmarQ837+D3UOThItPUnJVkLRlGkQ31kSIBbuBkYAWqwhyKYIuFaNpQWTMOMRyyYCn6MYgesmYX2Of5ikGDdN0iutR5HtQFHMYTY1IGzzMXlDhTfdCwcaiZglBUKITm6uKTrsNaLpr0WjriLav5pvtbhpj0+jkIl6xEbFiAmRylgEqhjx60UjQ3kN0JovZq2Y0+xrqqBtlIY+g1ZBUzmI1Ogk0+Zgcnqd/cy8KQaDe4SG8UEFasVPWxq48px0tPRgECyuxMLX2FpQagUIpj9Vqp1CpEuvm9dto6w3iNPqp85jIZzUcOrmXXKaIzWYhk8mg1+uvjPFkMhlEUbwSzS4uLqJUKikWixSLRRxOFzMzM2+7b8zNzeHz+d7x+iz8NqL9VcBvU8fvMJSCQLNBh/LyG2p05SADAw9htvRiNDTByjjKoe/T3HsDyuQMa4KdKJVKHm5pRhPoq3YmO5qqhNu8m/F8mWcjCW4Vp2n9/n3V467WN3+hrZ5SzRr22zcQNBk5KHj50NDsFbLvNuoR9W6cp0+hr61FUFbJNuipZ7XZgFuj5o+XM6zv7OSGvjW8msgS1Gk4+f3v8OSZ8/yf4GYSsRLL35zAt7afot/Os5EEmjPHCEYeR+q7mdvs0LnwNB0dXRyM2rkjWcJ4zMOBSJbft1twB67i+JwVXaiZiP9qjJdEdrQHcIRnWbTZyS+OcvHoq3RpDWh2dDIy9TL3rVzFyXSKFeV2Gmqhd2WG6MggC7oSfmMzXidYLqyw4bXned1jZSHQgKpsY8pj57l33Y/CKOOIp5FsJcZXRjAnUwSnZnFkMrROTGHRaCimU7y0dgsbLg5gV0Hw0kUWFDGESoji0jRdsge5UOIay40s5OYZMsZBlvGGs/iiU9gzCmyUcE9dpGlyGE0+S1Bykc4soyxkECsV0o1tGJJhdMkEcqWIkI6j0oKjYTPTcpiY3UraY6RUMFGQFczoZllTqccbF1GM7eVkUwPf2bqNNbOj3Bk1YllZRnbVUtBJuDNJtmRO0LbmMGHRg1ZVT7tyFa9ohjCkk6xXr2VBFWGmppXn+7biykfxyFnqyifYdUZJZeUIGsFNTaGFsqTBHp4mYizxQo/Emd57qZ0eoSZqp2m5iZxqGGO+BW+2hpD2ICaxjjntaToXdXjVq1CknKjlBFJsP4LUyeZaL6WpcWR1L3LaSlaWsRZLdPZYsK0xcvTcPpamUyTFCLZlHTUhJYFcCKfRhehWkUvnEVV58uZlVFkwxlZTTAlYPToWc6PkhSVkYxTiF8g7VWizAUrlHLFIiox9hFQyRTgWYmlmhIpJxmA2UBSrjUthZZyGVUFGzlZ1jUVFgXS22klcKGVQFex0dLThE+M8d/QIKxdizA0fYGY5i0qjJZNLkMlmMButZHNvunOJ4r+eNikWi1d+Tr/FmOCtqK2tJZ1O/1IaoeC3RPurgN8S7S8Zel0As6UXp2NbNaK1N1abnwCeej8aQeaqVdei0Wj/Va22hMBkrsjNHhvXBptQ+nqr7kD2xjfrtQol+/H8BLm+8adGoWAqX+SBwRncX/0y8y4vTfUBlIKAUhAI6jRM5orUatV8LV5AUCj4b+OLrDYb2LqqB0sqgbO1na/HU1yz3s/OVT4ajVq6DUpWS89w3i3zv1U30eH081TUTczQxp8UCvRYAtQpw8y4FNyxuombu3rxe2rIihIvzZ1mRhEmODaFIfo8gQuLvOg8xw5zF67nX6bD30JTy53YxC7EfJywbZ5FMoSSEdocHgxlB62KzUzPTNDr2cVck5mx1Dw2pcTOWz6McXiQztcPY49MokpOky+lqdWaaJ+YQW0yY1peRiHLSIUC3732Fg5svBqj0YB6YZykv46B9nrSiQjtGR2twTtQx5exm+rxqwOIyjBWtY5GZSfeWBmvu59hfQLX8izaYoFu41o8nj6kXIRcLkxFEjFVSmwKL9I+sYRWIaC3tKHQuXCbOrlkL6FOJvAWNUh5EyH1CKslJYWlWcZVdSyXJ7ELapzpOHsOvYhGynGpPEM+H6O77GOLWEdfYSPTs8sIpxNYp06iTOXJZ0I0qFto07YTCp9FzM7QknWw7fB+7IEEbRsuUFgwkSpAIdDCBk0H6nw9IWWCb7qt9Otr6Boq0bqgQUsLJdUYRUcKuVhAky+iSRxm2rNEc/oW6CqwkJ3HPn8RQdGBQtNOxWQlJcO8eR5n2Uwsb0RdsiNJLiLLCqbzyxhibqyZOlyymVypgi2fRaiYWFFPkSmsUNJHsRYUKDJaVEvHUKn8KJQO1FoQkzoqqjwmsRZl1otaCiIrS+SN82iMeaTEMnkF1bHzxlUUZ70Yi0qKhQKStoQVI43mTqLhOKJcpFwpo9caqpGpAJK6QDS+jOLwEaJuF2YkMg4rslpElMtAtdZaKhX/lTTjv7sfvCUCNhgMlMtlrr76avr7+2ltbX3bRqhKpcLY2Bg2m+3napT6VSXav/7rv/bcf//9Dfv37zfde++9iX//il9f/LZG+0uGQqHBbduGYmx/tf76hpk8VC3xDn/2TVGLn8LBWJqPDM2gVghVIlaqquM/P3X+ToeZxzoDbIkcY184RkV6c1h+i83Iw7UOyjffyCMKEwdjb75VvxSJ8ZHBKWS5+iZekSW+0lVfJWmdgV3v+R20ag0SsGQT2D94ECplNghnUSle4CpTC1/pDODz17K3ZxOyRc1fR7N0i6/zUkTHx21GCsNDzI6NIZ6aI3yiQo3HD8ik1oQR7gxjfmALD+z6Wzbsuh3X+z9A/J++hjI1zlDiGJPR8yjifezY8C5u+t3fY95nYMSQZkDxKi/qDjDaNsOZ2DCF2mYqkoKD555mMZIn6PFQly8hmi3IggL76ATTrY3ks0lGvXYKNU5Wdu3ELWXpn7nE6pOvUluA2ZZW3HNhytIazmvCDE5+B0mnZyhxgv2pF5mYv8hYJc1BzRAnlBNcWjmGbn4SZGimhoLLy37NRabNMgqLA9FsJV5Tz6TKxlPbdxFv2YkncBVZrZJ0aIK6wUFs0mreZbmZjZKKO4pK1il2ATKiuIzB5afRtwWLmCCtERjKDCMhISEzKcVZTlq4OP8qk8tK6BTIqZwMqJdwqrx02TYxlHiNdGqSlpKTVu1L0NFPfeEW1EduodaoRVERMMxPcCkT4qTpIip5A2sVaQpzWjrCTuJWBdO2ITSVFkipMBZ6uFA/zuFVCYzaTgRBiSEtsFpeh9pwA0pNE87uWtKOEXp3B2ivdFKnFFhVK5L2rlDpXOac7wCaFZmSXaTWFqVdqyJtGyFtG0ajrY5FWkQn6pyDYhpUOjcq4w0I6joKmgjx0CBFxQhl3Qox3SUks4NATT2GTBBdNsCAcoKK1YE24yfgaEfW6uly1HK9KohFZafquyVx4sIhinLqyrOwY8cu6l3t1HrqufnGm9mx7loabr0dECgXG2ky9aEXtICMWVBV67rItARrfzb5vVW4QoZ8Pn/l6xujP2q1+t++Hq4YwU9MTPzM837d8LWvfc29b9++0WefffaKz9H/jSb0bxp+aUQrCMKfC4KwIAjCucufG35Zv+tXAm8YEbxBkBP7q4Tp76/6zf60Nd9l7HSYeayngZ2Oy84lb7Hyq1QqXLp0iUqlgkahYE/iJMf2/z0fGZ7jw4PTVUKtlDg2+Cp/vxhj8MJp/j9NVWWKSnWYP50ZQkaiUZzgo3Ker8xHic6mUb6l7+rReg8fq/fSlRnngytW9g0dxRkvsWoozWbbJm70edjjsPJnosjSj5+lcf4A0/k/pVZxmHcNv46pkuWp7z1J+OKX2GAQuL5Sx7WV1eyp/wjWzPvobLyfmv1aFj/zOAesdtKrwDw8SG7kOfKqDHW+EBs29jAez3I2N0su2MycUCAYUiOGxtjVvwFJNhGzuDFNZkCcYHH6AlG9nXygBdFkYb4pwECtn8NdHUS6tjCs1aK0GDBGFrn1+F4yFCj19gKQNEhY4i8jIZI0agna1pJzuZn3GFALKrTz4+jmxtEV8szVmJC0WrJ1LezrrueMehb70iIll49kbSMgY5icYf+2W/jK3R/m5TY3BzXDzPmMzJYuojXVojTmEIUS5p4sxaUS+RP/iHvkJDVqkXmNhZnQYQzzk2TlEsgygeUkDtca0kEHZdM4I0Yl6l4Dyzv0ZNabAYGl/BTHl3/AMgsICgFn6wU6uw4iWc/yinoEwWJHtfElVjdZqFNsIl9qpi7RDcj0hXZzU7adqHEaX66JhmQPs/ZhustbKXsucaH2EL2F+/CFW8jlX0Q5KJIefwEEgZQ/xvJstQlrdjDGUkZmv2aQM7kk5mUnTk0z1/RoyDqGUEfCTE99h/lYFk26DlONmwXSmEsuUooVCoY4g21ZVsyjVMxWco5p0vZhsoazVIqnsWYd6DK1mBQZ2vvdBLwKzJlGrvXeTsvmVlK6KeZXLjEyeYEL6VGmXQYcej3GbAl10oAp0Y4p0YFZCla9Ok5EyA16KQ3UU5g1cfrlOc4vimgzPgzmFDe9fwdNXgcAHq8Rp9lPjdtFTpSvNETxU2pQwJszRvAT0a/VWnXzam9vR5bln0mkv4lG8Pfdd1/d/Py89vrrr281m81rbrvttsb+/v6OO+64o/HSpUuaTZs2tbW1tXVt3ry5bWxsTAMwODioXb16dUdbW1vXo48+6jcYDH3/2f+OdwK/7Ij2s7Isr7n8+dUwf/9l4ae9bt/43vauf23N94YNX6VUJVCXtdotXClVCbphG0zsZ2L00k8+nM272XnNw3ylM8hXuy+T88R+dv7wXv5JPMkf3HYzv2ONovnum4R/e/1GPl+f5brFCrd97EH+PJom9Y1xZodiiNkEs089gr6Y4U+aatDWdCELArK3C6nxGmJdn0FqvKba7HXxefa8kuTdPjP+5XMYS+/hyCUH9z37DD1HX+BG6w/g+gHOmc8QXZqms9eBMjxO7lM/Yvb0Po4sf5+9ASN/3NLHwQd6qVzjwSH6URtvZj4UYN/nvsXMU9P0xZowzE+SHq92bCqfe4FJrYXHdl1LrHEN7ouvUzG5qZgsJGq9qFIxFJk0cZOdkstPqa6DkMdMrrGPSaORssuHlEzRPx1ik1pLYHIM33KYoEFNxWjFIymYV0S5oJoFZNLBehSATSGTNuqIqTQo4iuEVBqevup65hweMpUsuvkJ9PNTrMp4kOv7+HH/OrYND9I7OQNI2BMFrBon9TXbmXeJnLM8y+KavyPXvshEt5XKnu3MCTPkapSUMvMYtFoEobqJZ7x+MuJG3AUVlQvPoIifZjJWw+eF/8psvJ5ANIbTn0RWiGy33U5dbw2m3glSQy0sjzmwJfKMzbkYGtrBWKaVjY5u/GoNNSolAgIa/QAbjCp6hDx59wCvtDyO3pxgo1HN3aU+7ozdinteiVg4iaowSk6jIONcz4GOQ3yv5m/JaPMYIw5Cr1eQAASBSk5CQMAoncJp+xY1yiQOoxkZmaVyBmO/gE/dhqfoJ62pqifNeL28uH43IX0HFXWavHYJTd5J2eWnGGgGq4aCaYFY6gCvfucAi0sKZGTCA2lKlzJoVRpUOQ2OfABl2UCoVKGY0ZA1aihbcwgo0Bc9yKmqDV54uhrdykiMhS6Qto2wlBmjaAqxrFzk+1/5HnOjNursTiaWU6ykFwlFV1hcXESnq3b28zadw/9WtOvxeNi+fTujo6NA1bmnXC6/rT7yG0bwv6pmAz8PnnjiiVmPx1M+dOjQ6AMPPBAeGxvTvfrqq5eee+65qQcffLDuve9978ro6OjQe97znpUHH3wwCPDII48EH3roofDo6OhQIBD4jQl9f3P+V/+z8RZd5Lf9fhmVSoWJV79H8+E/RHXPN6H9eiSpxErsMM5ojspTD3Bw61+y8+j/oPndX/vJt1yVBk3H9dwIlEpFDp7fz05VHs2Wh7j+2Ccp3f0v7LdvZufdj6O5TPg6BO4qZylu3MbRz/4d921Yy3Jblro2E9Pfeh9P1amoeenL3Nu5itUWiY/J/0KveC8Xj57iuaMCt1Uu4HMd4lLya/jaP0rXxGdRX/cR/Jv+gGOGH2F8uY3UM/vQ/l4W0GCd3otD28XyX/0dudtv4WyDj00zE/iGj7DujrtILFxgT2QToaVFXPFLbND1sTS6j/F0gXWr76I+eSvnF76Lpk+D5vmLNG68itL3nuTuj7j4Tl091uvuQF1K0K40EqdAxOrED4QWZ9Ab9LAUol1bS1BXREpKLK0skZWLZMz1TE4MsqJWk29aRR4VBbnC7OAA1rk8NFf9g+tTSaKZFEmThbFVW3ipawM3lUusHh0CpY+aUoRak43s1Chtqi7aWm4ltvgs9xw9iEFMYCqW8c5X2OK6gYg4ilt20JFQ0VrXgHD+o8xMD8k7/xQAACAASURBVDMsL6CIhNigX4ey1M2cKUG3aGY0MUXYakJyBCnHvkm+rCZnMWDOlFhXakV+ZZTeogfNDhPOrZPEDjl5OXaKRb2L4MlNJC8kKBvjpGwOijEzlakOStYYF60v4Z3bQVCt51lhjJfsZ2laXMNG3Ro2lGWi+XMMaac5mS1Tl5kmkt+LN2chbtPhMniJ6bzkdDmWzJNcNbYWy0oOMbuPQr/Irk3X8/zhFxm1lekr7mBmzIFS3E5+JoK6dR4pey3qSiPmZSXxMdBgR58NkDfOE5iZ4d26CPZCiYJRiT4dwJCto1SMU1anSBqrOsZK3XoUlYZqzVQbI2Ubwq9ai0OO4cmtIWDJ87JtgIWwEoPOgSsfIGqoGgXIyAgI1XEfZERfhFwmQzQyR8DXgNlso6U9yPDhAZamNWQdI1y763bWCwLHj5xiMVztIC4UCjgcDlpaWhAEgZMnT+L3+1lYWKhGu5e1knU6HYVCAZfLxe23345Go6G2thZRFDl6tCq/es8999De3v4Ob0DvDOSKJOQvRi36HldKUCneJnz/+XHdddclTCaTDHD27Fnjiy++OAHw4IMPxv7iL/4icPm46aWXXhoH+PCHP7zy53/+54F38h7+s/DLJtpHBEF4P3AK+Lgsy/F/74LfdExMTPCdI+O8Z9vnaL9MhiuxwwwMPERv1xc4e8sTVe3jW55gT9tVtP8bJvUHh4/yoZiNx4Y+x57dH4U7v8HBvIoPLc3xWM8W9ly+rjy6D+VT72fvzd/lIcHJDVNLfK4riHJiH6PZPF9Q/iXYBGpe/u+o127nXHSAtWoHSC9yfc/7sBzMo1fvR9t0P5qR1TzZ/y/ctaWPk1Nf41tTX2dK8vCBboFUl4467wfQmSPUfPK/Ef5GHUtPP8lVG3vR/fBHvLwRrLUJHM8dY1jXgG/kNYy7d5EZu4S72Y5541pOHttHVqlldr1EV89h7M0Pkau7ipMv/AjPj5/ij7fcTm7mLPaKnkBFpJANo7OZ0E1M0YKCnL6RWEczy8NHSKm68Fy8iEMpoWhqY9LYTUuPFserzxMTJogWfBjMFqKqCjpjnjbKzM7PwsICgtWIMpOi7cJR1NElvAoFGZVAy9grWPICYSmJ5HIzEh8jEn6GaG6atZMisgBb3Lcixs8S1s+SMi4zMTlEzn2BpVVzpA+tp6j3IeRVmByt1Fm2MRo7iYCAz7abjDFD3u0k5BKxaZpI27QY5iZxx7JIKT+9qgtM1cg0p3bTfv5GdIOL5J0x1JE4s64mjDYr9YVlLgFebZqVueME3G50vS9TkrW8GvJxyfM6ZYXESLFC3rGC22XCdzhBo6cNAfB5W+nKXku08TR3/3CEkY4PovY0U5Lj3Hz+VvTxY5S9jRxpiTMrTyL/YD83v3yBZ67x4iorCVVclGe30jv0GOHmjUy745jKWWIzZZSlJCp1I4Z0EJWUw6I7T0PwEONTbSQXnOhkP5JOyazTT+1KNVWrSRoQlB4QBew1WsIzMfSqWvKFFcrTx4kYXSiEJqzKLtRFO6WiSFlrxlzsRFt0IqsqaEp2nIomMuoMWXkBTKDJO1kIz7C1NUB7eyfzg2l87hQnTyyiyKZoWbueEydPAGC324nH48RiMU6ePMmtt97KXXfdRblcZt++fWQyGRDAaDSSy+Xo7u7mlltuQavVAtXUcaVS4a677gL4lU4P5y9GLbHvjjY7YMKwxvOO2uQZjcZfG5Wndxq/ENEKgvAy4Hubv/pT4B+Bv6L6rvdXwN8CH3qbNT4CfASgrq7uF7mdXwv8RC3mcprI6dhGb+8/4HRsY6dbxWOxNDsdq+BnNGBsad/C7xdPsGXXR6vp6Yn97Hz+fTx2yxPVay/jVXEV3yn9IU1SPTIZno8maZ3V8SfNu9m9B/7JVocAbPX+Hsd1aj7o/xxbPeuIDweJuK5lQaNnkfv4q9OL7Fpj54tuAd3iWZxL/8gn6u/h4rRAPH6Uduk6rOFVzOz/LxzvXU+zScfZOi9Xx14j/tAujP0NdF8qw9QC2Tva+JdAnt9pXk9Q7+OFwj7ccyFSgSYOZvLYB+eJs53zUy7842fZVmonpFOiH4tytraRMbuHyrnXWOlZRTAWZtptY52xHVfNFsaEi2ibdhPTqlgIBtHPj6OOzGBoneZMpp912SyGkowzdoS8fTMzDj9S2UBFp0eVSbJiraYZBWS8iTwKeZxCoBlJb6Ds8sHCCpJWT8nlQxCmaNdZ8CRqaG28nePLP2Q0cZI2xwYuLL+AZeQ1ok4n5YKe3P5mpHiQLd4beGXlGaY8Bo7GjzKnmkcTX+bo8jMsaGZZ0tpojmaxZEsETW3kpAQ0uug3KXil5KM5Dc5sGVN4DYmAn116N0eWf8ycNoAupyEqnact3sYmfSdTQQf1KQeHz1cQ59zMW0PcHbueb3l/iGx+nZ78Zl6ZCOP2bGW7fgPHlWc4lpdJRk4jqpxc6thC1L2akjZG2jaEIWoj7ejHWVzDtfkOvIKWSF7Foa1/SqpmLxtiKr6ruoB60UBo88cxz5vZaY5xWpokbc+iz05Q3+4kNBOHhZfJGq9l9oCAPbaVslxCoW5kqlPDU10m7jikJDg/joxAJpBDkegmEZqmKBwhb2rGpO5D2XgXZnc7mUQZddSOPpAjEcmRto1gjrcjlaYI6wTsSjNpcRJM1WeirbUdhahlZHKFI0eOMHk2wmJmFJ+xmZKzhosTEUK5w8zPz2M2m4nH42zevJmBgQEymQyjo6P09vbyzDPPIAjClSg2m83S2dlJd3c3yp+ymFOpVL8WRgL6HlfKARP6Hlfq3z/750dfX1/2q1/9qv3hhx+OffnLX3asW7cuA7BmzZrMN77xDfsDDzwQf+yxxxy/zHv4j8QvVKOVZfkaWZZ73ubzQ1mWl2VZFuWqmOg/ARv+jTW+IsvyOlmW1/0y5st+1fB2tZgKKs6yjgoqNAoFu20GJk4c5/svv0qxUHzbdY5linwxZ+OYe8uVuq7m7q+zp/uqar33MrZ11nL3ez/CI6sa+FJXHQ8HnaxWXqIsCNU0tM/FDT4XJ7R6vvjsP6OogEZpYGmimaeefYHfHx3jlSJskPL4vZf4mC/DdbX9dLT8DYlXwRhvpXTTe7DJvZg3bmH4D/6IjwU7OJots2ZmmcTqbfzv3FnUgooTh76FN5XFEfDy3g9/DltHC0cUR4nZ9UgGPcsyfOuGe8gHW3k1NEfKOs5IcZFR1SXGbGUGVLNUrG72dm/gotODZ3qK+lUBGpvbOFucZDZ0mA6ri3VCD8igjC7iWF6mpqlM87ZLdHGBBtGBPxZisN5N0jCFR6OjzncVk4UKkslGm1yLU2+hkRoEqYIyncI6OYImuoR9aQ5BTlF2+2msVNhgbKHVdDU5Xz0iMhIwnD/H3tQLLHiMjHV1UVTKWLMqElMOZhMjvB76IaliDBAoW+wUXT6KDheziiiTdS18+4abGfI2EzI0cl41y4Iixkxqgqct+5gzj1CnC9Jl28hUboypuloGMxeJK1LkzfOUrFqMOS9CKsJwegi1RsVEXoH+WDde2cPuUi9hZRxNVEtrSsmCEGfWPExEqGO0IDFcNLJX/wT7NncRd7cQ8fQhWQpoinaMURtC9AALlnEEQUlN3MSmkh6vSqBOZSc4s46TmQqJVISCcJhUbJlcMMdAeY60LoO5omf99nsoF2qRCvVonDeidrZiTt1DwG6lw9yCs9ZAZ7nMXUczXBV3ope3oZO2Yo61o0hFKRXLaOQtuPJB+tJmDJkAyUiJVKRIUbPCXPkMZXW1414Sw5Szz+FJyQR6bCCANuOnu7WPsfHRK6pNAKl5gXrdOmrbq+cNT5wnGo3S3t5OOp1m+/btBINBMpkMdXV13HzzzVeu3bp1Kw8//DAdHR1s2LABp6mWp773FJfGLr2zG8d/EASVQjas8STf6bTxT+NLX/rS7OOPP+5qa2vr+va3/3/23jM6kvO88/1VVecc0ehuNHLGAJMDBpjhBOYgkmK2HLSStbJkL7WybMur3etd+54jybpHokxJlGxfZZkKpJgkmuRwhhxO4uQEDHJuxEbnHKvuBwyHki2H9RVtSju/L6huvKf6RR9UPfU+7/P8/993PvHEE0GAL33pS8EvfelLntbW1s6JiQmdyWS6bpP3zyEIgldRlKWrL+8FBt+pz/pV53A0xQcGZ/h6ew07hy6zYtDw5eee47mbHkI8cYZ79vW/PfhqwdSehn18o6OGPVe+Bse+APd/a601qHK1oKpp/9qerkrkxlY7TL7KrYE9BEeG+B8zn0S37y/ZE9hz7bS1I0VuHnk/tS1FkrNvUPnx/8Tz0GdZttXS2dpL2XMEi8vAke98hIGO3yE1F2FeVhNwTLGjfQcLf/iH1Dz+ONbdHnqf+ir5gTCKopBS7Ow772ZLfIn8FT3xh3bQsLudsUENL5x8Cc3KOA0GO+ueOUrTvXezeWmMxJUL1BvtrDCFrNNzxjhGS8RPRyWEdDBFJbyILbbEan0TkyMX8c3nqa9vZmZmgvyFYSpiBwFzkc6SzGIqy+yUnXSphsZJF+Ztv414+qt4TFomaxsxBCdxBmIYz8/irzhY33AvJ8LPk3Wkmatajz44jUnrIRUdpxwLsd61EWOxi+HYKSKJFKq6COc8eWLZ4yxLYbJ1rUhXWzrKLi+K0ok1coRZfQpR0TChWkFMpzDOTqMmjsaYRyjlyQWa6A7n6buYxZRJE5PjOPIq1PYYHuP7WEoquM8/SXSdi4DKwQW7mf9no44PJhRE0YUqvERZLmLw7afXqOfNyjKn1QMoWjtdbg89uiqCqRHcVgvNHhmDUk8oH8Gc7cBXcdJqlIhk6lHk9/By9x24h05BzZu8UfUKO2feS92SgRIyPZkuqlUCM0RZUZJUU89WowrTkoZJg4JVs45MjRrSEjPZ8/iLHtZrnfSUaxm6HCaU1qAIAoLcjJKSWdBGGNaMsJ9uYgtL5Khilxo2GyVe0mqR0358pRUWsi+ttT1VbSGhhyMpM/myCyVexF1rJLiyJv4vloxo8i7spjayOQOiuh5JXCtg0pSseLStVNpyjIyMsHPnTnxeH/FxFWeOXsJQu5bq9fv9jIyM0NbWxoMPPkhraysAjzzyCE1NTahUKlpbW6+9npycZGxsjD3bb+Py8wkmGhZY0a/QRdc7f/N4l7OwsDAA8IUvfGHxZ99vbW0tnjx5cuwfjq+vry9dvHhxRBRF/uZv/sY+Pj6u/fea6zvJO7lH+zlBEDawljqeAT78Dn7WrwTpcpmvzK3y+7VuTD+zon2rxWfz5fPMP/oo3sce4w/uuYf9mSy37dz+9gnKRTjyOTj2GJqHvsfNQPHY4xzo/wx7FND88Leg/7/CsS9eM6BXikXSP3wc08RnObDraT4jWLmv7otscfSQPHAAEDD17cSlVnH7HWVq9+8jGnuDxIfK3G4u0VxXz163BY3/fiIvvYh4sgrL89+ivDtLb+39dL9vKzZ3L+ovPo7k6kQlDeAPDaCquBEEgR2tvfhSahIHXuZ8QzVtmzQURj/O7Ml70S0s0YVE3euvk+pZh/mZ59j2UQ9jNifz0RAawB1MU+M0EVaSWHo3MVF1kurJC8iyiCUdxThfQBAVDKHXqXWsx2HRMzM4SHv1RkyHj5Fc14BSqSCverkshdFe+QaTjiKr6Sx1wUmKK4sMHvohoqQlpi2QaM/Ay3NUlWwsFqdxGmtYcOjw0oopV2RkdQB/Os5ig4NYcYVI8gz6/CKhdJy6mnqyRYW2LVs58eZFrIvLOAuTpFu8EJ2lYNaTr2lCF5xAnY6wQhRjWkVJqiAEp0ghUDd6lCuVIXyyg5oWJ+X1o/guriIGuwk33MyYOYqYW+CuYh3F00n228ocXwXjapn5dg3n8s9SUm2lVwigVULMRF3MKq/gWd3GQfXz2Nps9PjOk9BAy5fPMnzTI6wWnPy19RVKrKDT+blj4FW88TxT6gsYrBoONz3JJu0+TJEYD8+m8LerKGXtvGmsQk6VOJ0ps2IIAKArOhHiHajzJhxEyay8To32XkRRIB05ScFci7rUQVEbRZu3o8rb0CaNzMaOsJKboeLax0q5g9OVCCHjLAFZj09roJxvYLkkQugc+qyVrMZPUSvgr6ohlsqgLTjRZrrIqBMUdWEiGQOeqg4yiSJuYzWWWBetbc2cOzZI0j5K745eRFGkpbWFCWGCxOVhkhMC/f39lMtlFhYWGBsbY/369ahUqmuVwpVKhbGxMWRZvlZt/NZ2UEN9Iz5PhE6bxK7AzzwcX+dfzfHjxw0f+9jHahVFwWKxVL71rW/N/EfP6ZfBOxZoFUX5rXfq3L+qfGVulcdmVwD4ZKP32vtvtfgo/X1oHn8cU38fNo2Gjn94gslDyMceI9J/H86GXYiihsN3f3+teMoV4Ob7vwmV8poJff0uGH2JdFBi/i+/Tc0n/5Sbd27nI4OLfC0rsO/UBdo+/oegKKQfugnTj16l5q8eQ9LpcHr20rb0OeQf2+h7pMiJ4hF2eHZwLjbLif4+6rRZnqh+lc82pRge/wSS5kvovJt57pVx9noFxA/9T5zH56gNNIAgkj08QeM9DzKTDlL9zWFElQpDuw+9o8yej32C0a9+hZNjl+jY28fQ4ZdREKiYbfjmFwhZTQgV8OsMlGt11HfOs/x6I6FJLYX5aYxWGypbEPVNacQ3ioxfXiFj0nNyegTr3k2sZkqo0ynS2bXez9PuCsnabmxTI0RSUTCstW0YDWaq2joYeOMAGUcD2y23E1l5nqXQEN5yC6ZcmT7PvZxb+SkXOY8z1UpWkVl0adHPy9iyAunJOHHtNG9OXUClasVksDDLFJVoAklrRVGbAAFtsYAsCNiyJXy+PgbLwyC4yPotFMoeMqo8s+FlJlIlmk/sIFU0s1goIwvt+OLzBAse9JoSLfrDxLb+AIZ2E8/djCmuEFOvEgmXuOj7Btbd5xDOZUnn6hELVbQvd3Bg9CymQR9DxYt8UCmzaHiN8/WTDLuLbB+8TKNsps/ppDnUzPfsE0Ty0+yT30NPoodTDhXninu45BnnRWGGcz3v5XePB9EnMsQqq7izPsLeU5xyL7F/uZ1bxH7OB5ycMYxRSCdZtNlIWRMIuXMo+hJivANFgbwlw0LOhqa+n6QSxZGKsk3lQRbWs1jJc1BzGaOxASMNFHOtlLRF8iozadsQhEBTcKCyg8FugBkzIGIu1JBO57G3V0BQUJDJayPUt9QxPLdCLJRlZOoSoihek0T0dfqoyBVOnjxJR0cHw8PDwFqnwJEjRzh69Ci7du3i6NGj1y7JBx54AEmSrq10mzdU0/wLy1au86/h1ltvTY+Ojg79R8/jl811CcZ/RzaY9UiCwO/Xun9uH/UtBElC29CwplX8i7DVEbarGMg/i9m2AaOp5Zqe8R6XFSk2vSaS0X0/xfAUhw4+QVNHN8Y992K6/QEkUWTdxCBbO1q5qaUBQ0c7c1sCfEz/DDuNOaZ33IXfVUPw0kX8XbsQa2x8TRjl/z7/baqTChfOrIm7JGQt99b10PDaj7m42IptpYrhdR38F3UW6ZW/Z79Sx3R2FaneT9HUyomFeoSVCdoO/ARtOIEqBHNeM1esdrIvPM+6/t2kXz+MCVhSKlTMVnI1TbTMzeOsqaFSKrGo0TCdt6G7kiQ7LGNTacii4NYYiIQrWAsd9BR+mxlNmnwugqAoZAQN+ZoW7JEIJda2euRSEa1KTSURQUBBVa4giyI6UUSKqqj17uKSJUZ26QIr2RkkUSSXDZEWM8wpqywoEbTZCiVFg5S1okeFN55hxaamICcQAEs6j8Psos9zL7HiCopBJFLbQMVkxhHPUyrloVSgqWoXBZeXeZuApuBGkyqgi81QyGlRpRRc5QpmzRYuq4PYiyWymfPk1T484iobDB4GooMsKx4CoZ0Ycx5SiUvoSouEdWO0nVlGEXdwPDPIitlAypckZIAlrZpGNnK8I8xUlRmXqpdpq4OZuvdxdzCOOXILqlKYTaUmJoQoVS0+eqa7WBAncMgWRsxXcE++incmSlfGw/tzLlpFC9qyilXRwqIhy6XAQZryDpYjU4TjJdo1DcwEX0QvlMgJbhoLWjZLbZAukC9YEIs5hOibiPUBCqUSZN0MGSeorAQoOqKUhDi6YgOqkp2SQSHtDKItuNDlPWgKdsytIggZZvPnkIpmDDk/igxp0ywh+QoGq4bF3BVCySCxSIyiLoxWp6Mm4GP//v0k4jGGhoY5lz9LbipHf38/t9xyC4FAgMbGRo4dO3YtyPb19VFVVYXVamXr1q0sLy/z0ksv4ff7cblc/+I9oFQpcXThKH6TH0n8J67zfwPvVgnG/5O4rnX8LkEjivTbzb8wyP5TFGWZQ5EkAZ0GSVKhr9p6TVeZUoXckaN0tDSuFVfZ6q4ZFRxaWuADplvZoJfp2LKL9LHjFKamCH7ij1jdvI3WpnrUDXVM2HLsr7+RdOsd/OdUFe6VeS7/1Weobm5hwO/hT6ezFIzb0JFnv8VO5PxJVMkYe5sbIDbCKWEPtpcPUm1qxKcU8A4NIRSqOVKcYerYqxjrlmlKF7C/9C3W5AbWEOxVZDOreIaHSS7MM2BSU07EUbUUcZUsZONRVOkUc0qRvFJBrygo2TSZsExRraZULLNuIUQhkSRh0BNbLbAgxlmoMiLlM6jlChTySPkM1UYD2uUQGb2OkttL3lWNlEsjFgvIoogxXyQnCNgkG/HMPLn0ApnMMigysiIjSipKOgMxr4eyxYYI5Kv9qHKLiPFZ7NkMS23rkPJZxGIedyxFXEkRksMs5abIVHsoqw3Y43k2GjYz5iwjFaCYWWHcLWALldFUNmJyGrngleidSxGRx5BUMtO2tZvxFqmORCVI2J0kG71EMq8mEjtLKe0l6cwhZ6fIlmfIBRo5687j9axjVLKxqbwF+8oNbG7bieWKn/7sJnqFZjJyltLiFNaYTMtyB4L7dW7pepkVKc6dkdsQETEm6lnI59FNN6I3lFGHmqmKSawbnWfFE2HOoiKVncBZMlBr8BDJLzJsPML+0nb6M71ctsRxlNL067YgFDKIhtvIoSWfSUBRy0L8x5QtVnTlVsQqLXEyqHNOVGUDdnuAgmGJNw1v0LDUgLZYA4JAXr9KWZPEoa8mW0mxsbeV7q2NXDoxTlEXxlRxQ0lLyjpKwbgMCORnbLT01NLX34tLXUtGjhGKLBIOh6mtrUXKJJg8fIB1XdtJxvLs2LEDr9eLy+VibGyMl156id7eXnw+H263m2QyySuvvILL5eL48ePs2rWLjRs3/qs0io8uHOXjr3+cTlcn9db6/+17yD/F9UD7H8/1QPsrzKFIkg8MzrDebKDJoEMQJIyGRkqKwE+PnET4+McwdnaibWj4OVP5gLOG9dkJ9nTuInfsBPOPPorllls5f/vd/IFool4ZJ5yZ4o/e+GNub7oTU0jF5nMVmqvydO3aw/P6Ematg/e4HUjxMU6Mf4pNYRd99e303HwrTTfcgc1TS2klTYUUg/Pd3NrXBrkE6jOHWC5H8DflMdS+jL6zn5J6O8sNzdT91kPE82WW5oYJaURWrGZyZYUak4VEY4r6mxdIRw3klkpkdG/3EFcqZcRiHgFQECjaHMguO8uatZubUKmQUldQJaKoMkkURcZgsyEnE6TyWUw6DUmjhYK3llaTgarTp4mb9CAIlFQSmw2trPPcQzAzjFnKkimuGXkrgkjZaEZIp9HpDdgKWbbv2MHSxTNI6SSGfI7qUJSITiSvKqFyBkjIJcoqgVQpCgKoEika02qS8RnkQpJ8aolAxYpWpcdT62bD8BxRR5lTLnhuez9tKicBqxp5oZGKFEAoqyEeZ8klEzEv4+isphCqgLIOxZFjS2U9G1U9ZEoeluviGNpsLBbmqEtaSE6dRWuNEfIusyfu5zn7QSaME8RXz9NQ2kxImiRXp+eC/jXmyhXeEMLMSKtoMh5mMzomdIN4040c8r6IUp7BGD7DksfHM1unKLPA1tIWOlWdBDMjHNK8wl3JDdwg7MYiG3DJFoo5J/HVU8hte3CLKUZMV1AyoyzUbECNg4wrhmyIsY0GiiUtcd0yRV0YwhZUcQ81mQqsvoYoVmF0KESMk+gyfjLlGAXDMsgy+eAsglGHwWQlmUwhVsXISiECVQ2sb99KdYOVc1dO4LHWc/HIJDFlhiprgJtv2UdzSzPRdIbmzk4EtZXt27fT1tZ2LWiurq4yNDSEyWTiyJEj+P1+AoEAsViMG264gbq6OjZu3PgLFZ1+kVGA3+Sn09VJn6/v+or214zrgfZXmH/offsWhyJJPryapfeWG+np70WQJJR8nvzrr6Hy+1FpdWtetpIKyVPFqtmI9/bbaW5upF4Zxzr7e6zz3syW2jvo8/Xh89VQLs/QXqrwtE3hC6tmXoqkuN/r4Hcbm3GeSdL9t09xOlXAbbPg2biJyYUUT08eoXnPcWyjYVrr/Pi9dlShGUojVwhm1djLdfiaPsyRYwLRvI+icYX1vRuJTY2xAlic7QQbA9gmp3AILqLTJULzRspChoblDAmjDgQBo8lCqVREJwhUtAYyda0UUnH0ySQVlUTJYiMfaEaTShBQ15ApxSnlc2v7vSYrpXQG/9IqZZuW/tYOxsaGCHhqMDid+PRWhIEzjOhTRONjeCbmEJobyeayVIxWcoFmFK2WvNGKvLpIZWoC7coyeY2anN1JUaMgoiFX105Ja0BrcCImwpRNFozJFCud+7jDeCOJwhJL2QlqzHX0u+4hYGwnvTBHvf821FodK0yzNaGhz2nkVHSaolrAJqmImxdJFaYomczcletjY2MPY+eewVPtYtEIM+IqsZwB++R5zhh/QkWW+O2VexnUrGIw67hDfReRuhzn3CM8rXsOy+Q0t8y1MtJQRbWvjYdjNxDNrVIKr2fRPIsnvAHz6jqM+iSD1svEdSF8qUZ6czsp18ifiAAAIABJREFUNC6gyt2NM66iYyJDMetBqSxxSH+eKl0Ne3R7WSCEFTMrOS3Bkp6oKos2I5NU8mTD58g07OWbO9toyEg4Qhb02jzDmiB12NBkvIiSC3XKgSyXqCQvghzBq2+kzmRhWgqhLlkpGFdQpaIYy1qGc0FixWVS+QhldYqCnEZfccN0HZEJGa/fTXRMYf2WTix+kZmFCTL5JMW4Go0Rnv7xj5FVGi5cuIjDYae5+W2LSqPRyMzMDFNTU/T29tLd3c0PfvADJiYmkCQRp6Rgr/Yi/oKgOT4+zg9/+EN8Pt+1tLIkStRb63+pQRauB9p3A9cD7a8wUqVE08IRJHs9iNK1PZ4drgY2Wc3c1NGMSqWiUi4x+3c/onDGTmXqDXTr14EikB+JMj83wEtPfoPqpmbcNXV0WL1YTG0gQGf1bsoVmaOXn6fpzBiRT38Wh1ii69XD3NvTzq1dbejVarrXb+dk2zr+ZOsesqcPE5iZ4lg8x1dab6LpSIYbyjqKzVkif/I5qn7vo7hNVkxLIaoPDWPZ1k2wNEhFvER/Vyvh//bfiWRzqHzr2e28i9jqafJOicV4ElPBgcphoXVoAbZ0EkKNUCxSKq31E1eQMFsbKcfmkdIJKmoJYyZHGRmpkKVB8tHrvItkMUQltkDW4SRf0wSlPBmtiJxOMTE1SkGlIppLk0wmCGeT+KxWZjNLFLQqIlYj2XwWEQlKayvbkt2FJryIOh4lUyqQV6tQqwykG9qoFAoo+QwUsuglE3dJe1mW4kS9HlZMTr57010wdwL91EmKaolMPkassEI0OorVVY9FdCBW4qTLcaqmR1gsiRTTkLem2SoEKEamUenK1NVu4ZBwhNBCin11W9EWqpiWVkFjRaeOUzXwIiteMye9QTrKBl6xniGVL6JPbuAH4nNUt29l9UKITTM6Fuw5XP463LvqOTzyAtaxEN5sL4LKxqpxnp3JjezSm2mIr0NK1NFZ9tFVP4Juy49QCnak0E7Urix19g50ZQ8IRlpTWty6AFZMjGbCDGeCFOVpOlQVNtg6mYuPkkmPooubaCur0eQuIRVyKLNHEFU+Fg1xlJTMacdJVPkQutQySmkQQfSRyg+Q0ngpSzBuWKCkVKhaslDJdyNVTOjNalxmL7k4yKocqpwNBAWxrCVdWUWOmrF7zfTe1oHT7iS2kmUxNonD4SAYDOIwGUhOjLB500Y8gbpr19/Ro0cZHFzrTFQUhWg0ytDQEA6Hg+76AC998S/xNDbj8P1jpUCbzYbP56OpqenfZH33v8O7NdCOjo5qent72x999NHV/8h5/HvwzwXa61rH73becgW62q5zfPE4H3/94zy29zFu/pk+2JlL5/nJq89wa2c/qSe+jdJaywlnJ+uenqF6V5r31AxRp4uRG4qga7UjiCoGBz5Kd/cTXJoLoyT+O4unVUS39fBs5iD/5ZJCDb95bT+5gExeH+aLgUbitjSRb3yTVL2Xj+vcbNOJTOZPgTqH/w9uJWQ1Yt3QQ/G5p5GBF988woLOgG51kUOXX+T07dA2bUTOTXMx9DylXJiUUkAAlks5hEiOym4z1vYd5OaW0AfHUaXiIAiYHS0sVZnxhiCrSlEulymbTAhKBVU6wQIpTikyC9lJZJOeNTsVgQoKamVN91YpV1AXyqg1anIooCgMFrOUtGtWZmKlgixIyEIFbQmU8CJSIYuUTAAKZaMFKZ2kWCmgCS8jZlJIgoA2nUBMX+GCPocJMASnsCZj3P3KkxhiIYpuF3ImTclkYZoV6rQeHGo7sqxgFv3cRA3POd6glLSiLwRI219nrmuZ4qk0g343Dy6qMUtOCvOXueSArVMxmje1odno5XuX/he766pwLsJ2OYv31EFqe/w0JDP8tPWvaWzqxnb4VfylCoKqGaGySvL0CeSlK6jnEwzWpalihhtv28rJ8FGC8jHUyVbWC9WccB3Hm2nHFF6H5dxHaYl1M6AfZ73qzrXmPSO04uJV4RKuSgFd9RCxpJVS+qcE7A/RYatlLLNKOS4hGTbj1TrYGq/wmkamYM2gLu2jodyGv5hhoZzBuNxCJnQUSX8LtZ67UNV3kdXMMrw6Dii0r/pQ5zSU8i8i2234egKMzS2TiC9TbW9mORclb1wkzyJCzkGkGKO2djNOrwEBEZ1BRygRpK+vD7fbTXt7O8PDw4z7l9heVUAaWit6bagLUF6cwWg0kslkWFhYQLnq3hONRhFMdra/9w8IdG34hZfuW+I01/m3USqV/kV7wV8VrgfadznF+r0M7fwSnfV70QB9vj4e2/sYfb6+nxtXv34Td33iT6lTLZGbC3PEJvB78TBfvq+Ou1ud+KQnKCo9RL83jPM3O3C2vy372FF8heE45LZvZvB4nNu77sL3+D50fX0cnjpI90SF51NBZgbmKHSf4WDVET710W5uzOwkGM8xFnuJVNKP+ZUsqXPnma6apeqGLSw2eNGYnMS1Brz5LPXD46iuiFSvux05eZGwrUJ+dZylzVtwrcxTNTxCyuNArknScNMiw8Onsen9FNOJa64pqeg4XlrIhoYpX82+FQT52u9lpcJccgQAS5UDg2RgMbbCuL+ZpvHLaFQicrFIWaumDGsKUrJMSfP2pSCrrx4rCkW1gAiIyRg2UU3YYCAXaEYXnETWGyi6qtFmcvjmEwQdUDSZEPMldgQeYDh+kiHpBPWRJXKBFsKANjRHoaoOUAjH80xoBuhJ2dmk3sBCdAGbMMRUdZmWWJlsjZXQ+bN46j7ET9brkS8/i2VhEGO6gsGbYaV1Ayp7mZWfCCjNtRzeOIOl4iYtiJyrc+Mxy7zRGCLoyfM/xhoIDoboEkTyzRqKqib0wQl0wzkG19+JM/EqjshlFodcROan6QxquFw1hlvU0lNw8AqP4+VPCEQ3ogB6uQUFhVP6QSw5J+1Uo3coaA1XWFz/FTT5DyOmW6nRWQBIajNoXNWIJROKPopP7sSSFhh3bsKCjuNVajojw2TjbyBq/ICCX1SzWd/Byak8kRoJU7wNpbxKo7uN4MwUIFAqKiQmDOiLNTgsDnSqCAC6jB91yYK6YEXrjpAcWeBgUItKIyCUozz4wP0oCDz11FMA9PX30d/QjzKt8KNjPwIgYLesCWFo3tZM8Pv9LC0t0d5Qh7po59Lrq3hbUzT0/FroKrwjVCoVHn744bqzZ8+aPB5P8ZVXXpm4fPmy7iMf+UhdLpcT6+rqCk8++eSM2+2ubNu2rW3dunXZ06dPm+67775oXV1d8TOf+YxPFEXFbDZXzp49O1oul/n93//9muPHj5uLxaLwoQ99KPTHf/zH4f/ov/Of47rx+7ucI5MJ7n/NypHJNX1vtaRmT2APaklNqVLicPAw2WKWo0vHqd2wCVXX7Zg/8XWEmrUborbGTHY6zfnDGSqCgPM3O9C12tfM6l37EUUNapUGARHzxi0girT13obtxps4vnyCkec/z4XPf575wQWqPWbuXfLwKVU39sAFItv9fE9dov7mBbZtcbLrtv/Brj/+M+762Ce5+6E/wOT2EKupw1ip0PAbu3l5q8TFuioGNH7O9O7EG83TpBPxjlwhHw1hzxeQjDpii2UyY1vIDWQpn7+ABNd8QBUqpKKjlFUCWt3a/i2CgIJA2WRFEd7+l06uRFheDDJuq+KnN9zDZEs3crGI1mh6+wsWBHS5Ne9eFAUFBU2ugNfrXzvv2oKXstkGKg2N07M45iYBhaLLiya8hJKNs+DpWWtLCjSTsOoZiZ+i2b6DcOtuypIK7fwkjskJ6nM2espr4g45uYIvVsVcVMNoKcTljsscrjECCtn0EsXZMt75AsLyAbZc/hKV8It88IKWijZE+fI5XtcMMRIa42TDj5hzjFIyW2kubaJosRH0hnnvRQPt4WoEReB4e5YVexxdSzMPV27FG8qSUZY43dXAs/u24sw5MDurKc3P0VzcRKy4gj+UJZ1bZnzpHPdN7CSgOIgIaUQEzJIIgoBsM/DfGp/gGdshdmZ6uBgukz75e/Sk19PgrsWns5AtJzGnQ/TaaqiyaRizlzjCAG8EXDy/vYbj7Qae7rdysllD2dpCpTiDpN3GiqqO05kyC2KUUG4E47ocd3/gAe74w1109zSD60Yy7gSitoAp3UgqUmEqvYg+U4sp3UCtt5F1t1tZzk5QEI5R35WhkJ3g2b95goWJNdGJ9773vTzwwAPs3bOXQDnAmyfepKOxnpaWFoKx5M8FWVjTY79hy0YWXn4OoRLk1g93U9v5ayPJ+44wNzene/TRR0MTExNXrFZr5Tvf+Y79/e9/f8OnP/3p+bGxsaGurq7cJz/5Sd9b44vFojA4ODj853/+5yuf/exnvQcOHBgbHR0devnllycAvvjFL7qsVmtlcHBw+NKlS8Pf/va33SMjI7/YfeVdwvUV7buZcpEbOMtfP9LDrtZ/rAP9Vhr5A90f4BsD3+CxvY+xJ7CHctNN1E5M8PXOWva7LEyFRzmkGcAutKDNZfBXujm5dJpex3bSR+dYNo3S2fEYLucezMad1K/fBEBzNIHcPUlt7YdRqZs4+3df57gis3FhhdoP3Ir7nl3klg8gfdeIZanMecsC/Tc6yB6cJH7kOL2HT3HwjttJ6w3MTq5g3PwepNdt2JZOIhcqaOpqGJufIW2DxpUoc/4q4tk85ppOlIwdKTG0li42W0kl49csz95qEioUrupAKwplk/Wa6pIqk6JiWkvvCijULc1w85VT1C3NoimU6Kj3MWYtkFmYRQAyVwuu1gqnLBSUBNlIFFgzFyibbeRqmlgNTpD1evHMzhB02bFMT1IurCCgRZ27SOdUiELOTE/Ng5xdep5vuM/yzb17ufmKgdbRSziFdtLWDBvKAeKlKKuhC8QZpc27mVJNhuWklrbUNryL03RduYRg87AuKmJt3IdRvki+uxdjpZ0F59ewzcTp6+7E3tDA3576HFBBSifQzU8g6hPkGhqJ6+/DpBngrnNatF12dAk7+fgkp/TPk81P07CjF/9sBg48Sautmi3q/Rwde5ZBy0VKG+pRL6xQTlRI19RzyV3GVZJxqcwAeDVr6YSdS03cbdpNY6ERURGpT1s4N79Mzh1k1BzFmFukXVVDu20bI5kwdizsK65jIZGnNxPFLp6kdbyCL7qOmtUKGvrI+6pQZztRBIk5MYy2qEefCbCyEORM+iKFfBfL61YRQjK6tI9CRovGnUBOVjDF2tEWnGy6tYGu/ipe/tqL7Ozei6Z1KwNviBS0c+T8TRw7fwnhwuVrghMA9fX1dDbVM3H4VfL+f+yws23bNjo6OhA62glUe6hfvwlJ9euR2nyLcrksDA8PWzo6OpIqleqXonfs9/sLO3fuzAFs3LgxOzk5qU2lUtIdd9yRBvjQhz4UeeCBBxrfGv/II49E3zresmVL+n3ve1/9fffdF3vf+94XAzh48KBlZGTE8MILL9gBUqmUNDQ0pGtvby/+Mub7TnA90L6bmTyE+unfYf/934TJwbdN5a9qGb+VRt7m2Ua3q/taOnlycpJnfvQjHnroITQeB82tLTz08EMIySgvPPZZAr99N/9X8gjfFUATHODlnhPcOKPG6zXStHk7lbLM9OUw/o7bEK6ACQuBTZsZO3maxOQAuc27KH3hVcYWJHRHz7LccQOLNz/AnzTo+a8Tn8M+ukTTG1lObqxQnB7AvmErfxv+CjUhPXcUGoirE6hSEIynWbGZQIBVk460SgQFsvPLrKz+TLo4tXYsanQIxSLV+gaWs1MoItf2zN7ai0UQkfUmcjVNaMLLaELzaJMxOi4dQxuPUtSqObu6TC7QjFkRUBZnEK5+TsVoJlfThH5+kkQqfvW0AlI6iX5+EkUQibR0ktVpUKWTVAoplKp2qlMSoewUQYeJ+qnzXFGpmS/OYp2c4+7iMt5smpzbyyWbB218nJdzJ0nqKhic+1DltSzoJ0mfPIva7SfngiV/IwX3w2TjJsbX1zKmPIk4nKMp3MTpVAMtqxp2nZmn9v4qgqU8zUdyLGzQ4U6liW4TuKN9Ay/MznFs5U00kTLq1SKlwQusmvK4UzrG6kJEYmnq3lwT1m+z2phNJMnrk8ypFnnvG1NkvHtZNpnZRANftSzyQMTPOb8GFGiMpSk0gH9SxlQx8N74PuLqGCv5IAFjKwbJhE3tIx0aJl6YRq7ycYo5LKKWTr2XkdQqK8U0BrmJrtEx1Fkd7cUyHnUXI5ZhysY0grSEumQhaRvGEu/Eqg5AGqLLIgdmTpK0jSJoAW0cWVWgKEXApmCJd9GzN8D2Oxt45nNPExz4PsGl/WzfcyMF1UGmXnud3b/xO7jrm5AkiUqlwlNPPcU999zDyMgIw+NTdOzaj9Xt4eSpU7S2tuJ0OvH5fHR0dFwrPPx1ZXh42PLss882AZPd3d2/FJs8jUZzLWBLkqTE4/F/9unEbDZfs9N78skn51577TXjCy+8YN28eXPnuXPnhhRFET7/+c/P3Xfffe+ow9Avk+uB9t1M0/61IqhK+e2CKLh2LLXsp0tfQadSsSewB6VYJPXG6zT17vg5w/i3ijIq5RLv+cSnGPY1kBzZyEpLDTmTk78S++iodqE+eJaOXesJDsW58M0rcGMBc8rMxS//Gdp77mVJpcLXuI4tDQY0t3yGM7Uy4VKB0MQsm7MXuftQEN2+2/DFXsSduYI7KdC0FMI5+BTu9+xmaWqeuJKgIRRDEQUqrkZc8SBhm5G08WrhkgBqUUtcpUbKpRBE1dr7KCjFPNX6JgLeXSgLMkuF6WtflcOgx+qysTJXopjLolldpOj2IeUzGFdDFFAoSxJFi505ezX+SIiU04NDMSKvjlMpFxAzaYyJKCathiQ2hHSassuDOryMKp1AVgQ04WVM6TRVq3HGOzspOpwYLHVUL8CiMMklo4GiJkG4eS/e4aO0zo5htndxzFHNq10dvG8AEsootRPjuOIBig23YGlwElkq41wukrHVc8k4w4IRTJo4pUwnJq+PsE4mr3WzFPwalAuceGAbE5lxsgmRYz1ROqe17J2yIK43IpVe4xOauzm/skShpgkpZ8amqNCmwqCAc6aMKW8AQDJbKSViCMC8OUfe2cGMZxvb4xtwdBX4YTzOD7o6UE8X+W7DmlzlJ/M5XIeOYaxswqhTSGriHNIMUKHELVkjdboaFEHBZbJjHB3htLsK4no6bR4W8glGsxEqmZfw2+9nMZWiUjiET/sw24wBypkmZhUNmlgJSW3GHO/AoLdTlGPkjPOoSybUeSsGQYO2bCCfM5E3LaBP16AqmVEXrMwtTlB9IcrN//kWnv5qknl5kcmVQdLuGP03/w433HYHkkpNpSzzxitrnrNDQ0OMjq457gxPzdDvq+HBBx8E4Omnn+ahhx661is7c+k8L3z+07znE5+iafPPaJH/GtDR0ZEEJq/+fEewWq0Vi8VSefnll0233npr+utf/7qzt7c3/YvGXrlyRbtv377Mvn37MgcPHrROTU1pbrrppsRXv/pV95133pnSarXK5cuXtfX19SWLxfKu9bu9Hmjfzag00HbbmpnAQ999e0V79fiaYXz3E7hd+0kfO878o49S8/jjNO/uZ/ziOaYDLex329CIIpJKTdPm7QRkmW+qteyx6EiFv8Nf/P0Ajt47eTZyBYDG6no2msqsTH0bQv+J5fbtbNixie0DQ1w5dpDhQ/No/tMqjw+dYe+4i40btrH1Q48wdOAgfyE286nMa5z7vQ/R7BG58ONXqVlNcljjoc6SwRNKYSiWuBLwgBDDpjUDb10fCiCQM+jI+deKdVTZJChvFzvNixHGNAMY1HGkAmvpZAVSoSVSoaVr6V91JISUzyKlk5QlaW3/VlEY697Jga5tPPz8t6mP54nZ9HiLjcSKS2u6u1YHclwm5w4gZtPIBjOgoA0vIZstFF3VyJkccoMV39QEi0AmE2dFWEUBKiYLYz29HOjaziOikRsXIOdQ8RvLRjpCp6hdUsgmh+kZnUTesp9qo8jc5TIG724SlRXCyQhGmhFNMVLGCH6NDsuiDqdFw458FyfVYyyWJ5FlA+kfX2FX9XvJ6vexWp7m5M5mjLE8trNe0sFhVLKIfnEMu3OZdNAICoiCSCGfQwEkRcBTdrFMiqhRwRpaxle2sMWyh9nMCDOjyzws38CA9kW00Tpo6Gb31DS3TdoJF73UGK0ggEljoqdUx2XNLGeyBQQxSo1iY7PUx8XNLQzrhmgz1jIcP0WHrZf5ih7Z8AA7jAGO58+xomoBReHEynOEhDa0yRXKhbOUnftABRqHhlgogSneSmtPI7Mrb6K6fBrRcCcmTQM+r4/VeJrqdU4uzZwjksgx/9eTrOvp5zf+8Lc48NRpxi8so9gVqhqamJicoqmpieBQnOEXM1g0nThN1cAo27ZtQ6PRXFN86uvr+7mHVlgrPHzPJz51bYvl1wmVSqX8slay/xzf/OY3pz/ykY/UPfroo2JtbW3h+9///swvGvfxj3+8ZmZmRqsoitDf35/csWNHbvv27bmZmRltd3d3h6IogsPhKP393//95Ds95/8/XA+071KUskx+LLbWivNWwH2Lq8dOy3a67R/EaVl7qjb191Fz1ZRg6tJ5vvT00zx/y2/w150i2kiB3a1uNCrxmokBoy/hmPgM9+76LKmgmzt79tGxaz2SUiGy+Qgp62nkaTdb8i/jLdp4ftMmDk/sYf/WOG2PPMoHjz9Lg62M+vEniIgG1h0ZZMsNMle2dfJc5w38mb5Cjfwqp7ffwE9vuIebr5xCdekYJdGDiECNppF5ZYqCVKRTaKegUWGVFdJ2mcn5STyLS6S1KvI6LRWjBVUuic21QCWiQ0gnkBEpuqoR8xnU6SSCIlMxWa6lf1XpBAhQcDjJ1TShC06ye3UWzRtLbLxykVWXnepiC6tiklJNE9rgxNoeZzqNplym6KpGSkYhn6VksmGMrCLpDETqGomgoKWCdnWRtKAl3daFZ3QQdSJKy+WTmHMatgdlci4Nl1VzOONlcjYVC1o7fqOP4Nab2OxqZjj+JuOFMBGnGZ0nT86oxrC0jK12H/KMTKo8Rpd9J2eSBQ5IRzlXa6N2yYnR28OKaZBXpn+Kxagnmk7hKcXpbb6N114bRtBsQOuOojJN07AryOi5BgxLAdrqbuD0qWeQpToMTi19xrs4sfwccmYcT8t6VscvMya7MDqamVQtUYqN8VuXLXSa61FfGKOSHuOsroZYSCEvlREEkWZ0mHIBzBjwaxRqFBvjlUnEmUmCjl20yC7CqxFW1XakfJmoXqFYMHI6U2RZtmOyJNlq8XMmLlCNwkL8PIp9Cxl3HJDJZOJgBDHtZ/j8CTLuGH53O4XiWr9rMhshZZumx3MjDYKTleA8zpoeRo+/iK26DocOtAU7m7feiiiI/OAHP6R/042IosT+93egVqvJqUII5wVqAwE0+TT07eTo0aP4/f5/1KLz1gPrdf5l2traiuPj41feev0Xf/EXK28dX7p0aeQfjj99+vTPGfkeOHDgFwbQL3/5ywvAwi9xqu8o1wUr3qXkR6JEvjeMxm9C7TYgy0XCkcPodTUIwlrxhjBxCOMzf4Tg3wyulp8zJbBWeWh22NlaX8dPB5Z54vkBtiwNE+hsoiQIHIoksVtr+Gqynm1334O50U1gdyuCSiZ85QsYh75Krngr6R9N0LJpE6+Uxvhz453cv0FL0OfGvprl3P/7LRrrW/A/8BDDM3nq7ftojFdIL1yhWyXife3vmBeNyE4X7akY/oETiAgsWoJsNmxhs/s9GAtlJJWZbb73UmvqwG1uZ3p1BJWmQkwpoag1WJxtRL0equpS1PePkJBrKUdVGJyNpB12KmY7Uj6DWCzgzeZp6u0jcuUiXC2e0kgSQjqBKbJKWpHRWuyIdgOe2kZS5ThpezUgoE7GUGfWAraUTSMWciCIlKprKVscVEoFxEQYUaOjojWgyxWRlDaqsjlci+OEVTItOcio9WASUa8OkEIkY1Cw5KooZadoyrjp9exltphhWEgxn73ChriBJudGwuUlrNMjFPMr2No8aOxanjI8T3dfH9UWONrq4qn2rdhFEXFliSFNELW6mkxWgxSfx7VgoBwbIpLOYKgxocpoWDHXkF8qkxuQSLuc9KV3ES+ESBWncG/cTU3KwZA4RWfvfkxOJ4crp5izKsyqJ7BLeuzLywgmCb9UizE9R6tSx0zmGMq6FjZ1dxCVkriSIm+qp4gXVihWLOgrMZrVjQwXBzCrHZjTBtwzJ9A66+i2VBHJysTENLmSjrJRT9iVIhy9gl6pZoetloRsJie0IeaziPkyunwDkmxElclQKZ2jbHZAoRufr4pw5hIJ/SL6TA3eWhfDYxexqTU8+LvvR2cKIJeWOffT79KytZs99+0hExKYPZllaSrBWOQkVe5qNva34nA68Pv9qDIJXnzss2zds491m7f+u4hN/DJ4twpW/J/EdWWoX0FUdh0av+mquIRAOHKYgYGPYrZ0YzRcLdC7aiJQrN/L62MRauyGaybXoijh8tXwk8kw3yqkeUSI0/uFP0PXtY5jFicfGJxmbGiC79jrOL2wxD09dRSPHyOln2Qg+GnCbg1G/wO8lrNh3vcABxNeHmwWmAhf4geh40RnEthSndgPHeGsw8//iphYFx/BZK1n0lbCMzJBrJREa2mgV+xh49wUhXiSSGMDOhvc2Xc7C6fepMa3h2BmlGxqhJH8KHPpEebNFaIuD1Ihi1/ys9t5F8HMKCGVm9yigP5MGrfopdG5nUQqiBKewbe4iDlXZO9vfpCF0DzRhTkErvbWlkuIxQIVSUS5ajQglGUWjDakeBQxHkaViKBKJxEEkAWBktmIrDNTclVDIQ8qNaIso07H0UdWqahEPNOTJG1FllsasIiQzadJiAI5yqj1GqIeLxnD2hya1G6WzAoqEvzUmiSbv0jCnqdgNRDXrMOvAiG/juat7SxJRPkaAAAgAElEQVQbDJRCRlZKC+wu7WT9Xbu4lFtGfllNjSmKZe40GlFPY8mJvLqEOmxEsa+jJhHCd/YY8Q3NOHRx/j/23ju8kfO8175n0HslAQJg723J7YVbtEW7q17Wiiy5JFIctySOW5zESc53vsufHZdjy3Ect9iJ7RMplqxidWml1RZtb1wul713kABBEADRZ+b8Qe1asuycfEfykQvv6+JFYoYz817AvHjmfd/n+f3atO8ivDBOYjSEsKYJJVpBk8rLdN5AzQ3XodpoYbi9E3NuC81LDpzzRoyafjJyAbJfz3vnbqLEXM+sEmdJG+WEdoZ8Qo19MU5prALvnELEmyEXSWBNeYmKahYdvcxmsug0KjLVWtbnqshacoTMJUi5TlKCkyFVkpi9B3XOgCoRQ8yKJLMDpCUvi/ks04tPgSKSV66Q9jgwZHyY8n5IxbDqMiRMWgpzhfjrJMamjiMbLRiSfrxVNsanh0lLOTIzk1Q1VXD4h9+jZvNNjHV78JTbKWt04/a4MBbIlPoqKHLKWN0uxjsvUVHfgLPIh6eiiorWtRQUFv5WBFlYCbS/CawE2t9CBFFAU2BEeC1wGvSBa649V0e0V00EDvfP8+F/v0Cz30ZFgRkpn2Ok/Ty2Qg+rC6yoE3k+eV0L1lXNmLe2UWIyUBjKMXcmSk+xgSmVhvnOy1T+9adwrNuPq+kGCgtvZFzj4JGZR+mMF/G0rxFpdJITmdPECz6GffoMdlEhXdfEV+bdfNoVYc3AFGZXE5fdVmL6FJLdhcE/hzZVyNzCFJPuIqoHxrmhtJ7+0BTnpy6QT88wlhpBKfcz4DASyy+QcRWimQ+iic6TFVPMJ6dZUCXIGq0kZQ9pQWFRTjDozCOEx1EnFslYnZhtVYwE+xnv78Zgt5NPp7HbnKTTyWtrvIIAQi7zWsBNIsYWMKhUkExc/RfyJhuZ4hpkoxltOIh6ehLZYqVEZSej5LFGwuSkDIWLCRqr61DMMDc2giCApALJUkq8wMW83Yk+k0EfnqNYLKJWKeaCU8+/b96MU5ZwhXMYTQ7atDKLgpp6tZWDNg3SlJZF8zAt+TLW5srpOd7Duch5RvXDrBkvoGS4j7DHglPQEzXoMBZaiesXsS5MkLQbiRZGCO42YsgnaNn/QeraWgkUBFjoaKdMV8VMNkX17o2ozl6iZrGByeQMLzpPohRdwrr2OOsW96GbLcN85lE6LDmysQmaTVvQ6xdxCkO0mG7DrTEBkJkR8KmMuNQieucS8flxog6IO8upCdmZE+c5pu1BpzazzbyJAq2ZWEZNKrmEOplDTj2DtUIkavEiKwLZbDGi2ouorUcl29HIAXRZJ8gCljozBl0OQ6yUmCSQz6aYN2TJ5LU0bqvEszRHfziMNipQV7OfurZa5mSBPXf/Ab6qAvw1diZ7F8jpIrzwyjOU+228+v1/AgQO/9t38VRUYfcGiEUM2ApMiKLwi93yN5aVQPvO858F2rf0uCYIwl2CIHQJgiALgrDuF/b9jSAIg4Ig9AmCsO+tXGcF3iAw8YtsryngO+9dy/bXam2vZkWOdlzErFXzmdWlWEwGLLt2klcJnJw6xmaVhvpphU/EFtl48Riup37Iyc/+NxRXMwWmzXgun2b74jx/7NtG9egId/c+TJVKQRlcxZ9Oj3Dn6SCKKBCpcfBnO2Us6gQzda08K/TzvVXlTDg9OJwz1DccJc/LTBgyZBwK0ZoAQ9c3YCwqxWmxohdM+NICwxot1UYdYjoJKJikHIIiI+tkJoUJlgo8qMMzqGIRsq4iVCoNKAquxQSSyUq0opaSom2oEsvZtKnocnnOYiz6xjdLAUEBTTaLOrGIgEI2tXR1Fxq9aTnJGQVNOLgsSOF2o+gMjBgg6ithLlCEqVZmwutkMu/gUd0cgdAirpiA0+SlZSCEUVfCE81buewoJKD2c9I0yaOeGNVlEne1d1IcmUUyZRCmZaKSkXPqfp70LPGNWieKp4hVqSpa8mUE00mq1YXsS6xmZ9rHpKUb+/q16CeHMF46R6FiISYvYdYY6a2vI7/mNkIV9/OPwmcIpvcRSQ8jaMsYHmhnqsDAtGqB2soCDKd7cR5fFp+Q0xdwyBlKA634Oj5KaKmGbETNoW0+DtoeYtyn5knbKzQsrebJgiijtmmWRGl5/duV46T+IuPyLB2dj+JOBnBaN/KVliLGnU6qpSJa8qVM6sfplMMIgCofpnhpjEZjIc6qBio2P0+pMU7GFiejGSBvsWMtMKLWVqHPFiAgonZA38xB+uUoGXOKmL2XUEjAHHLiC6+lKiKg//zn2V/dSLX/JtbsrebU6TNcGRjm5OlTjE0NcvrJl3n+O5fQZJ3cfffdbNmzl1s/9Vk23HbgWnLTeHeEF77byXh3hBVWeLt4q8lQV4A7ge++fqMgCA3Au4FGwAe8LAhCjaIo0lu83gq/BK1aZE+D59rr/ywr8qrIxVe3f42bP7QKf42FOy9rObF5E3+X0TF6boxP9Zzn8ti3aUuluQUtMe/7+L5RZtRRx5/XgUt+jP76Ki6WVnHBUQOKwhp3iut1L2MZ93BgPIRjIceC5KOnewfJiIgqMolTb2fGqiX0xCHyooMSVwvHDUm8BU1sOn6cmJRGU+jAHJ+nLRLlvE5PPJ5BLDRhmBzCKMP8a2pMeSkDgoBkM6NKRHGGpxlbijKliiAq1wawKK/LWF4WpVhet81rf1kpn0JN/xBDTZUIk0Oo4ouIgogmHASTmazBgiE4haNGS/maAeZVG8mbd3Kh9Sb8sw9SPTaI1dSArVTm3YtVJEZy/LBpA0VzP0FjruSx5lameo+w5UI7ZruFhVyWgLoSo6xhY6aK8jkT5rOT7IvZ0AglTGfTXMroKLaGuCh2szNbT3GuiCW9lQKTwKB/GstiCdVFMD9ip9wWZk3GT+5Kng/MTmHQx3n02ecpX7qPndfdgHqiA7/sRAyBLIho/K3L74a2GlPyESKmp/E2/D9IwQU2Jn10S1H2nmvCuP4mHhdeBgS2LbQwF3ZTZlGxEJ2iPSWyaI8SUJewtvIAZwcfwjtq4n2KjHtSj0qnpjVfhj4Uos6x7GBTZ/ZhsPmYFiP447uxj1ZSuVCFkhtG1lmZsHRTXGglMa9Bb1GxmJ1DWXDg50ay+QXkrB2r1oIqESG/9DKKyYC+7kayn/4681E7E1NDXD5ip+2G12RK0waOnHkBw9QQ2/a/n5I6OxNdo6hUFdeSmq7+9tfaaLzVjL/W9rb0zRVWgLcYaBVF6QGuFfy/jtuAnyiKkgFGBEEYBDYAp97K9Vb45SjZLInjJzBvbUPQan9lVmROypHPpflK1T1sK9qApsyEks1SEFsiUC7wEcnHt5hHTTFPpz38D9s6lFCAiSmFP2s0sjDSza1Lf8tAo4qu8kra/fWsHx0jLWRoL61lq/w0la4Jbi0coDexnflwKZH5Yuy6PKXRRdzJWXpryjGiMGgWsGpcKCSZMamx2x04pkYQFJns5Cjd0QRx+7JUojC3hG8hTtN0mMHQAvryYnqX4mgjsyzGF1EsVjLhWcbcHrLucgwTEqqr6lDxRV5/ewoIiCo1spR/0/sjoTBf6GVBa0MdDiKZrTinZwj5iygYHWGqYRXW0ipmkkvQrqf0aATjzmE+PBRju89PV1rPlCNGSptlk36AvU+fJt7qJjDcD1oz9xQMsSEdZVKaIjMn4iisocO+SJduBPOCkZwmzv7FWtTAVFaiPSlSoBGoz7lQPDU403asMT2askKqZzR0WrVU37iR4konp79+mppcMf3pPI5KuD9oQ1iy4usvQ79GwHRxgValmDFDHlV6Gp/sY9wcQb3OQffFaVzyDTw3dIwbdxSSH3HStzTBSL6aouvq0C8plC94kASJV60dNCQW6YnqGXNEaGi8i87TQcLOHBVtLahnFglr+tn8yiBDxbsQlTzzpjGcTisCkFdkzCqRbtscZzJXcOss3DK4DgGBUlUB5So7R2IQDCoouSGiaTNxZx+WhXpc5iIiSwKCIqLLuLD6vESDKtbs30poKkXHaUhrh4g5uojr7UAJfr+fkuJSREHA65CpaF3L+WeOcebxb16rg83n8wwNDVFZWcnQ0CCHTz9PQbGZ+ob6X0+HXeH3jl9XeY8fOP2615OvbXsTgiB8EPggLOuIrvBfIJ+9pg6FWnutfrbo61/jUq2GNl8bGtWbR2wnpk/wl8f/igdmw2hczVB7A4ljR5j+i0/w4AEt9Xf9I5+NJZi73MFnK67Dc+k4jwnFtEjlrO83I8dcGEr+Gm2mHyV8hD9ZVGGdDtHtqqSztIau2A4Ez1FWo8ZsDoECkUiAqFVNWVkrorOGGW0XW0ctqAY6MBTpMOb7sZfU0NvYQEN6eQq3MJpAl8mBIKAFsopCRpNjrqqYcY1AQV8vBp+fsLMQrSyTdXvRhmeuaQ97l+IEXyvzsUyNQvyN04BSXkKy2K5JNAqCClmRybsDDLiXM5CzZiOi3kZSUZEKlDOQGsSIgEnU4lhYQLoSR9dawoKpF9PLHQzU1jHnMFOUUtO4YyPq6TEu6Gco7QuimB00qbUUxiPkkltImgeYNpjpr63g5cZNvKezF5XSz3mWUCWNNKhKOBPowJcpIJ6f5jweeqPDhOMNbN/RypOegyjaeW6e20Z+bJzhnmF6pkcJyT1MaczsKtjFwMI80bAFubqF9UmR6XQMn8HCbFhBoYgJ9zg90hi1PXXcn7ieswkJcWYdaclJunuBDWY3GjGMI+HiotzHJWOYubnnqKQFV6qAerufxfkuMqN9SOkLtAvlZA/n8BkrWa+p41x5HrttlFqpCuRKUCAjJdGrjGSEPHUxNyaxmYDsYowhYtEQDbYNqBAoVcVQtRlpf+5ZAqq9xOaSpDKL+K8rZqyzB6dSjxB0EQvnWLN3G4oo0HFwHAB/UTG5cIxTp0+iUgucPHmSu+++m+tu2ATAyOUwl14RrrnujFwOk1aH+OmjP+Xuu+9Gk3Vii9ajya7oF/+68Pv9zefPn+8pKip6w9Pugw8+aOvq6jJ84QtfCL5Tbft18b9doxUE4WVBEK78kp/b3o4GKIryPUVR1imKsq6g4M16viv8Eq5a5w0dAn5eP3upQuAThz/BiekTbzpEyWZp6Urxz6r3sWXfN6FyN1I+x2ysD8+WKE17PsY3Qha0P/kJt7tU7Dn6KD7LWracPMt6vRUl4UbrnsXQdgeH50ZIh5ZomVMQR6bQilcQgEO2DXyDT3ModAuB4h7qG1/FaVvuM0FtlPGZ46yfkqjwXI/fsYZm+xZa1KvYu7SNNf2z1IyOsa2khoICBxMex7J7zmsSi44EqGdCIAqE7GayyQQVc0l0uiSGySHs0QUMk0Now0Hkhfg12URNZO61N2D5PKJag2RZDsKSedlZBllB620g5/YiJJcFakS9DQWFHl+YpG6OopyGUk2S8OVjGKLTxKxwxGrG13YTPq+Zm/Z9gD25VZQsqik5YUSbLEZl3I9kqyUZqMDqqsUwV40vYSSvC5Bz+2iYmOL6rrPoogMANOdLiIUvczZ3BDkd4lzoWbIZPb3SCL6EGsPQUWZSL/LcxeeYF2FKjDJyMUfX0x0ImjJCYj2txp0UdKoRF50Irii9pm7azaOcDv4LJ6xX6PAeYYNZjXdjEYGiBsIDds4mcszlZVAUjDYtYUlhRBemY+hB+pbCtKiqWR+3Y/G0olpoRBALEQQBu5igZSnAqqJbWZNqYh0B3A4Ya0sR0XSwVapAAF4yXGI6m0evNpKVM6AoHJXP45PsqBERBTvnPSk61L0IgsDqe/aT22Kg7bqPsNnVxD7rzfiMlWhzTuq21dNJOxbnIigymckpOg5OEjQOAwrh0SQ1TeUIAni9Xu56112oUnak/LIoSkmDkxs+3MrG23cz1R/n+e9cZqFfzV3vuovKykrKmwq47b6dlDetfBf93+Y973nP4u9ikIX/wohWUZQ9/wfnnQKKX/c6wG9RcfFvPFelGV9TihK0Wiy7dtIm5XhA82YLPYDE8RMEP/lpHIJA5p/+Ca1ay8jpEzz905e45a6/5s833UtTJMG6P7kPTTbF1D/b8d95O2sCRpIdKkBhzuoh8/AAt+fa0A/Xoa/dg78wR8uUzEZ5iaAqzoA0gWHJSG9oOyigG6pila2AJWGSUfMEZcYh+pfK6UldYnJ2Hmm2h5xnigF5isXiCgwXzmFxOSiIJdBkcuT0ejymUsbXL5GLV7Dr5rtof+xnWPImNlpv5vjsE8wkB1En02jzRmQUIg4zgiKjW4qTU7+WoS38vNRHFV/EMj+FkoihoGB11TBtN+BMiUSMZtThaYxuE8n5JEU1a8nPq1ivb0Z9/CmEEjfaE6c421SPMjXEzMkXWHVZpCv5I1RmHVfyIyzMzmA814GreiOz0T4EbQH6tq2o8yJ05ampzbHQ1U/r5p2UzYk47C0MTIdwayyoPS2UKCWMJ+Z52aqhPuvFvuTlSu4SzTeVE95yB3tPWbANGgkpWbJ5ON2yjspgDpVQhdoiQB7sDXbmL0uUaBvwVRgZQ2a2L0zB+lrOBvMYByZ59/vfxZPx/4nqyCRS8S6yuiiDF+KUBKxUJNxESg4QrDQQvZKH6TzzhQWYbe2oL53nuN+PyueiJ3wataaGRrOLqYyEo1bg/JUhEtNH6BETuLf5KN7VQOx58M8KaEUdF9TDjKgT5FJ97KMJUmoC0RSFHjPn4jK68CCnDx5m9fQeJhQJBZjLC8wensbiLqIl7MJQaiIeWSKpdYCwgDdZ/pqCmIrG5noaNvuvqT+98C+d7P1AI6JKpKTBSfmq5bXikgYna/aX0f7iGPsrmq9JLF7dv8JbJxaLibfeemvFzMyMVpZl4TOf+cw0wJe//OXCF1980ZbP54WHH354ePXq1elvfOMbrvPnz5t+/OMfjx84cKBMp9PJly9fNiUSCdU//MM/TNxzzz2/dsWqXxe/riKxp4B3C4KgEwShHKgGzv6arvX7x1WlKPUbM5Bfb6H3i5i3tuH/+tfxP/A1zFuXA7E7nmL1SBC3pR6tVsc+rwvXrp1Ydu0h8E/fxLJrD453bcf5nnrmWnNYRmEw04tdtY4+3yLHlOewXxmnUnM9xaoj9KtH8SWCiLLIfLiU+flSFiwpiC4y5JAx1cgU7O3BVbFAsG4Lw+p5ghYtvckRsmYrQSuMFNrpFGXm7GamPA5URc3o2sop2z9J3DZB16EjLKRCTObGuTj+MHPCOHajmYLiSryGCkRFWB69CgLS6xOhrqIoy5tCs8vTxgjEIwM0hUT2CZtwRjOoUkmcBgNZt5d8RI1DZ2A0epwFaZZ4RwcTt91KsK6J1qbVrDOvxbLxw0T11zM5l2UpUIGg0lHr9lNWUIZ/Sc/2dQ2YK4089+zXGcz9K/mmZ6nywFD/HD2pKZLhKCHjFC9ruznhdpEWFGQkdmUbcStaaHTQeMcqns+Y+ejgHBfDSbZp3GSkYTJlOh7baiG5QUt9tUR3KM+ZRB5Jkdlo0rA6UIJvwsyqjAclc4HqnEgor6A838/Bn3yXweQ83rubUcxzxO09JHJZYkE45lKRTXtJjmt4yf0KE8XFGEqHCI0dpd+dJrhdg7t6PfX2zcTNafpTEgmdTPn1q1i9mEZQBMyJcXIhPabLfqwT4vIMhSzTlC+hJV9Gq1SDjEKqOM/11psoTpfStNON8UIvH1zcx3qTGkUAbb0DvWX5no6F02R088yNx/FW2hi7sgAKlDbZqWiOsue+asoanagTUeS8hCzJ7L6/jongKM9/t+MN2cQqtciafcUryU+/Rh5//HGr1+vN9fX1dQ8MDHTdeeedMQC3253v7u7uuf/++0Nf/OIXPb/s2ImJCV1HR0fP008/PfDxj3+8NJlM/vbUW/0Cb7W85w5BECaBzcCzgiC8CKAoShfwCNANvAD86UrG8TuLoNVi3Xs91r17EbTLAdrcthn3Bz+IuW0zAPl8nr6+PiRRxLRpM/OPvcrRwVeQ8ln6o8/xqONFniy6wmXr8/y/a06iJB9jLicz7XqEC81XeLFhE0F7AU7XBIKw/HGntKDTGdierSM1XUh39w4elG38aMcuBla1kTfbkRyFpF+byhUUBXV2eenGs5hCp7NyJJ5j5HAtsQkLmclRvNYyZEViWp5ESuawuAtQBDdtnjvwGiuuBderdnpX0Vmsbwq89iI/ChK55AJhMU7EYSBbUs3qve+iaXcT9QUlLGTSDBbaOLNpIxcaaxgY6kI/OYj24YeZ+6f/xvHws8ykk1QvKVyfbWazaz/TBZs5rJqjpGErbXd8CDXFVJurGM5vRtXxXlrz9+GMFBNIW4g6KtDKRhTDOr6xuoifuRc5rO1GQESHg0VJQ7W1lj0mN3u7zlIaDvG8MkyvI0sgEuRzwwkO9OUxrlLRUAtzksyAcp5X5x7j0oXvcSY6gRRZotR/PfWzPqo8McaK99A+sIiiKFwZXkSMubDGK5nPdXHcJ/OZ1QbOBXTkIyLrC1YTd/SCL4OIgEpS8IwYePbS50mEB1iLjwVDkBpFw+h3ruCWV1Pjbqa44b34kgGSr/YiVlleM4wQ0Qlq1kkVeNRaFjQZBmYHGUjneVUc4MSVH3Gp43mCxgkEAdbuK6VhYxHWVB4BsFbniDt7sFdNERyOsGZfCa3X++kZ6+BMuBvsSSa6LvHUV7/A+WeOcfD7XQTDkxw79wJNt1rf5B07MjrMkTPPMzI6/Lb3ud9GZDkjBINP2WQ587YEtTVr1qReffVV60c+8hH/Cy+8YHa5XBLAvffeuwCwYcOG5MTEhO6XHXvgwIGISqWiubk5U1xcnLl06ZL+7WjTO8FbzTp+AnjiV+z7PPD5t3L+Ff7PeKNO8q9+lhrrucLBl54iatKx+cC7GRoa5uGHH+buu++moH2GRDvMdF5kXlaxvl/Dxpp9vBR/jp8UDbApuhHT+hbmqGd9ROCGyyfRMoOiaae6/iTPTdyLZ1CmLmKlzlJFpzhBSq3FMOTmRpOZSNdZiiNzuBx1TJmyOKMZ8vE4CpDXqvFEE6zLedDbriMy+zyLERHJbGUiUIkjMoMvV0UwubwuN9vfR95gIJNcIpj6uaPPVWWoqxRVVJJJJpkZWJZT1VttFDe3UrZ6LSMjXYxFetgp1KMvtlNaUsLlR59FpfPhDS8RqPQiqkRKd92PIoiMtocor5zmYDjCjBlKFo5Q6MsRvvwsC+WbGZRq2DjVjvX0D+muruTYqWm8kQhjfjPHNV4OZI5iGO3ncuEmfthi5o9P1rLH46ekL0hqsYNNUiOuyXEeqcvwzfJ6rj95mi2TKsr0QaryXgrWVnCqe5J0TmHPoMJ0DqQrVqorY4ROXGCLv5lXLS/hOT1KZ3kI06ZbIFlFlzPPbHIAmdUULm0npx1gWhuixFyAkPThtTvwTIi8W5dgt9fCYF8XzeJqElGFocmLVNX5Kb1iJSjD2thqTAWV9ERPM7MlxdxUBYXRDFmbxMmdaZ7q+wG3z15Pg7GUQ7mLzGq1tGbLiedlLGoVCODK6blJ3Ah6qJarMN2wh5OW/6DxvpsQpiT0NQ4iV2bJlOtwjqbwB8pwzcboP/0wG+/8CBtuqaC/v4/klUm2trVRWVmJgMKtn/os/voGrKUvU9W0AU+ZlcrKSlS/0B8qKyvfZBrw+8zc3IvW7p5PVwJDXu+tb3mqdtWqVZmLFy92P/bYY7a///u/97/88ssxAL1er8CyiUE+n/+lQf0Xq1l+SXXLbw2/HfpiK/z/It2/wPy/95DuX/iV/6Nks7gicTbcfCfnnnyU0Y6LlJWV0bZ5M46RUWZr7cwUhRnQpOgNv4J+SxGxHTpmCs1U5ltwx3zIYg2FWzxMpwVMs224FBum6Y08N3Evj5XcRKljN3ZVCefnDnFJPYp2dgp56jxyz0H2Dc6zN9PITvUm6hMmbtHvw230XWufK51jJjnKTOePcPWcIeCw0rRpE4bJIQrixmujV7VaQ9agQ0ZmOjWEzK92yhq9fIm1N91O+doNAKRiMdpPHqf9+Wc4qh6h35FDmR/DP2ag40tPMNoXon9iAtf6enSpBL2nj6DW6RjvijHSbeXglQzp2DoKRuZY+8oLjF88yXCBFZephgbzCNjzSIhMDvQhJZ7HOXMF85Kalxo3ki3OsmbHrdyfX8dfHuvnfUsW5K5L1E/EWRAlTpgvcqpmnnRukHe39+CLzNFbVoAkCKj7OtG3B7k+u4p6oQBQUDu1+IIJjl+KMWWzci6kxvGB93GhqZyiLTtoFmtZZ1KxNDHHwuCrSOnT5LQLxLRhVuVLMWXtAIhRAwY7lPYl6Tv0FG75Cr6xJczOKT4Yv4EFo4vKqptQR7dytGiO/poZ4vvsvBzuY+6mMBOOEKo43BTcRbm9jJpCBxPiHEWjToqXlk0AzGqRZR1qlp0RBQFBEMhYFDTlFkZ3mMhpBc5YOskLEs+kJvhMq46RdRKzx4M0TxWx9boPYav1MNR+hsrKct797rvZtm0bPb3dPHnwR/ibmoknzzKX+GviS6epra29tgb7eq5aSP6yfb+PFBbuizXU/4+hwsJ9b4tN3ujoqMZiscgf/ehHI5/85CeDly5dMv5Xj3388ccdkiTR1dWlm5iY0LW0tKTfjja9E6zcXb+D6GscuN5bj77G8aYa26skjp9g5hOfoOmBByj61GcprW/iylNPcaK7m3BXN32NDRy47XbaXopyOfECXtMeYtMT3H7bTQxHnuHwpUk+N3iBv0+dZq2mjcOeJf6uNcC7zqU4MFCPc/YsW6L1TC52Yp69CKWbcAl2kqKRiCvJwuRhaovL0eo1EJmlz/wKghhGn8mR1mmYsOiJew3APJitTKv6aejSoE4sMkuc01OPEsyOIQvL08OKwrWSnWXbvWUjeMlsvVbGs+G2d1HZsoaJV5aztQ1uD+GCAFtaG2ltslOU8lA0FSLSmefCmBHJ5cQ/OUmJlONk/xX8tr3B+BIAACAASURBVL0MnL7CwLnncQa2EV48gVejZdWJU5iaVqEPKWRVAUAgM6tiyLQRNqu5YEiwxrGRioIczCf4cvsSdYtbyeds9Msh9LMuBp2TnNOOsSpZR6nKzIIqRlnLRtLdozSMurjcbOXhKj+3hGaJFRtRxZ2U6hdRa0QUFOY9Q1xSS0ymx9AYp+kYD1JurMOs/yDpwbOcjD+JqF9L1qnCZKxnaeocvpSDDaZV+BUnZxtnsGlc2LKFjHdGIDeOkrmAp3wvUvki+a5+TibGKV9fR09HiGBogbvsHuoG/fQ3FfCe4Uo6Hj2Bse8SGc9ejo/OsTO3imklzSFtF7tpxiUvP9e/9pGhCArzQhSXshzk9XGR4a+dJm+Z41OjH0eczpHbnWfzfCmfd0R4113bOew9yffaX6SlppXux09jmBzkwIf/jNq1G+nr6+Pxxx5HO9GPKArcuvd9NDd/C5dz2/+djvc7gCjqlLdjJHuVCxcuGP7mb/4mIIoiarVa+da3vjV2zz33/JemD/x+f7alpaU+kUiovv71r48ZjUblf3/UbyaCovzmtH3dunXK+fPn3+lm/E4Rf+XwNY9ay66d17b/YgCOv3KY0U9+jKW/ux3vmIWRyipWGcwEP/0p0nfchu6xJ0AWSXzmHpIlPyTv/ADB5xVG0ktsSJio023h/FqFwsQFAk/O8rXaw2zLXU/9i08S9Hg4vbWNndkmFsMDtOwsZ/CRw1TV3ktP9CTdC6fwJiX61qxDOz+DNjSDShDxGsqRZ64QtBswOywkIrHlNVZFoUxQMapIKMLyFHHebCMVqEQbDqIJzxDXxzGp/aQCVRgmB9m4aw9bDtxN/0MPkXvgAbqKCnDFlsjccge1e3ZQ1biG5IlZLDsCSLksF755glfnx1l39iCaP1qNbTGAbbaEE8HHMK3ysOv+j3L5+dOURtOkjxxmYU0dnkgjsfP/RqhsA7Zz/0bkzj/Ev1RIyK0jNGFkvUlDz8Rx3IX1FOjdjIkzvKLppTXZiLe8nMTcBOVpOyICIssqVmfzHaxVrWJMFeGUPseqmTGabRsRFIFTs0/gqS3jUK6L+hETh3xBnPYKzPMhmtSbOVhwhHszN1AWLuJ0bIqMW8M3S7+MDHxg5FaSQ+coMlRi8AY4Il2gIn4fAgKCIFIQ0MPEKJtsAc7NvMRoph2nv4rVjfs5cvQM+cw5tHv8/OH6v+VwzxlWdbgZSsngnKI6WcKUGIH8Il6hmE7NJOVyKdGUgGQMMeBycn1Yg0YRyFokdHEVkighyuJVS2JeNV+kLdHKbJmCd0SFtM1HvnCOvJxnyp2laKGGK0unaNQWYTDUUNZciIJMV1cnnaef4Y73/gUmkxUpLzPeHaGkwfmmaePfJQRBuKAoyhtkcDs6OkZbWlrC71Sb3goHDhwou/nmmxfvu+++Xz0t9xtGR0eHu6WlpeyX7VsZ0f6O83qP2tdztSQIWK6nNWqxfOWPCInfZeQZI5fOl7D43pu57oGvYd28heiWbYz0Z/APmImcfhVhvZnOyy9Q7CkmuhhD7ZFZ9e3vodx6I7q6tVznL6UrNANrGinsH6FhLs5U6gSzkoP0oR6KZRsgIOfyKMiIOg3a+SBZtw+rzcl1xtXYYl5GHQVoxVnGJ0dQa/WkdXpU8UXso9PUb1pPT3CC1htvw5HOc/H4cSYrqlBlkrQMRRgpjGGYHGTCHKTGnmPs8iVeevlpVt37B8x1nGeq2E86l6XvX77DHVW3Y4wWoOTyCBo1UjxO0jxJTh/noaEHabntw6R/9iwBBIbPnaVu20408Ti5ERfa0jtYuniOMwVZJJOBLaVhBrtk9GE1JpMH0wIY6iWUcQXBosGtcxFJjhDQF7Nb0eBV2ZmZGKNCdjKVlZjXLFAoGpiOa1iwmTmbnaNX38OeVDPF1o1MZyR8WjWlrg3UvW8Xmge7CBSqyaRmGFX3oEmIdLrH2VC8A5d3PWcfGsPSUs++u6sIPOdCkaHohnISlx1cGRrmlHCYewabOVdxlGEhRlnZJqoMXk6PF3IkPYDOvIm4dZbAlu1MDI9Sb9DTV9xAd3qG56In6Ovro0BYRa3BjbbCT/yJlzDW1xNXWwlqo1xmjIKclYDVyWmbn8+1GjB1pqiZyOJxOyG+SMYOuoiMKIgkXHlKGxoRXxUp83pJBtTk3bM8/cAXAdh04M85cmiQdl87hk0Ooq/8B4L4bipaijDns4SOnie4rofKtRuvaRfv/1DzStnOCu8YK4H2d5zXB9RfxVD7eX72g++wb1MbTfseQP0eFYvZcT4X+jb23Q+wQ2fAULKO1dfZiHfN0HF0Ld50lorZeUZQsOchPvotxtZY6Tv1CDfc9QkCHX1wcQBVWsds3SbarLcwEHyIae0gkzk16rJ6ZMMovvM/Q2lp4NjtNm4P1XBRyTIXhMWkliWxn/PTZzEnlsBsIK3TkwpUsc5qpv6eWo5cOAfBCQI1dVSvWoM0NcX81DCbr9tN9bt8LBpMlEwOUGXNMPrgszhv1tJ6z31s2rWbgv/4D+Z+8ANyqzawMOrkwtF/YZ2hFX3TftLdaoocAfYsQKCtllvX2PBfkhict7HJE2C2eIbE8DjPzfTii8expCQKxs4guHNM6cfoVxXguv8DHDv0Eg7ZyoIphlhRgTChpTCaQLArLHKF7EyYEt86xsR5Dmk72ZBqRDRkuaQZYHe2GTJXmNGmqaORQK4Zv+Ikpcswrr6AyAZ8ShEz/9xDQFYjABslI5XZJrI+O9LqWk6eOYvRdJaYdpq5y6149eNU9i53+XNnR3EEJ5EK1Tit68jXreI2xcXJ4JOoEwKO9W7aNs0wYFXhvZihW1PExOFJmvMpGuybqSk0cMdUip58mIvOizTq6qjQ2pgVIwj7S0hdTlFuKkHKyOwWmynSu1AvKWwOS3ylN8emWQm1RoUwsoiCgiHy89GmZV5DkVBGQpgie2YWz/sa0NYUc8sn/hqAQMNqFiMDKO27sSYuYdryfUzeJqDoTTrfJQ1O9n+o+U3Zxiv8ZvPYY4+NvtNteDtZCbQrIJmspPyVzD38OBXlf4N+11bMk0f5El9hi3sDC48eI3lZjeu99RwOHWTgbDt9ikBrMoMxM01Nb5JUWyt2s57m4UkuzD/F0dzLvGehns6mD1BTOsicqRej1sgNjdfRdbmXTo2e9MIUjR/7CK9aBwhdfBH7qXkubR5gdcm9ON0uXvjpj5CRMbRsQNYkiPeOkki0k113ExeGppgZaEdBYHhqivZDh7CeOUftntXk5BzflRb4vuLhX/fdyS0WHc/OwqlXDpEprsJXU0/NgbtIzeSpWb+fxMwkJ3iC8VoDpTe2MDz2Au0jBaz1i3SfusT4zB6sV36IB4WgzUSgsIXZL/47tg98EvuJH1Lua8YQi+GfuYhsDdBxpZ3d2wvZ5dmORV9E96LM3CuHMKpsxGaG0JT7iUemsZi6GRwJos+IbLNrqfC6QQKzosevOImbKlmvUiiW3YgIpNUZDBkttqjA+fwQ27w1XHZo2TSfJ5OTsRhs5DVxtIfakUyNlMUbKerI0aZeyxmVjLnRheTUocynKMvmKTDfSLkicyQ2x0zWSod5gEL9OjbY/AgDi2gqdXw1/m2+uuvzrI00Y8lX0v3yOUodGhxWA9mZNPVBN++veQ/XFa0hdWwGJypSBbU4zMuBMyiG8ZrdaOMiigCmWjvb+qKgU0FaulaCNemLcC59iTsiuwBQe8yYtvmXRU8qbIhqNdUbtgDLMoojl8JUNCe59Ngxdv/pX2AON6O45DfpfKvU4spIdoV3nBU/2hVwOJz4PB6qmpoJWwx0SkN8+thfcmPFjRR2TDL1t59G3rUH65YAC50nUbXW4Giswd98J+P7PXRGuvBW3IjtiedZvOkAbfd+FPdCGbXrt1Kxr4kKu0z2C/8fpgUTvuv3U7e+AmactGTrSDV4Ge6cYpVzC7W2m7G2NDM0NkNFRQ0WKclscJp0dh2X7UuslnZT3jvA6FAvG26/nVAmy1l3kOSsmrAEU4EAXfEu0md7EDuv0FJfxO2ROBOpNIfPXqC2ejXbdm3HNztH79FOvKFyQgsTGFIGdM1O1n/4j+h7+CGOnHwUTym8GDsKhgNUC314ep7DlAqRa91O4eYmLm6+if9WHKAaN5t1m5GiE4RiCsPee/BJSXxnrmApuYGxuVeISiPstt6C2uQjYl1DkcaDqVLN3K4XcA5JFLc24trcSnpaQIsGm2JEJQgUaEwUZs2ICExnFRyilrQ2g09bRonLRbtdy1+tNlAXjyFdOETWWsFiWoO3ZA36hJpylZmCxlIW5qdw7asiNJ1ENTKJaSJHJpSiJyUznQPvxgqGLEP82P1ttm+4CU9RCUabFvVAlv2W3ZQaSig4BxlNH55ZA27RiDyfQe0zIifyNO1cg8ZqIDMdh7SENrkcZIeFIE69DdPSchKeAKjdBqT5NLZbK8lOxiCrEC+TCe8TqDBWYBtRYWzzoSRzLB2bIjceRxOwoCn8ebKq1aWnsNRK655GvJU1FBvbWHhoAK3fjKbgv5zU+jvFih/tO89/5ke7MqJdAbVaTV1jI0PpBE9/9Qvc+PG/4oGdy1KOKmeW3F1/yrErUPbQYwS++X3aP7yOV2SZvf317Fv9PiZ2FVPW6aXzTj0XpBCqR09SO12EJIBN149gzqGtvRld7X7yaS+h0TC1cxIoUDCWZkdJM2W9drL9L+BsKWLeOomu6wzGDeuYDB1kY42ZlgUflY4StO//EE3VRsrXbWDKm8TxjWfRL5mx6I2UD47hLHYxuDDNrMPCrlOXCD75LMH3/znupQDdwVF8Ty9y/tVncNx5GyfmTlFU34yxykXT7v1MdHVSWOCjYi5K62oNhYfBsmcM3SPfZaBIwrT2PQwmNrP0pX9BV1rIfzdZcY8Ocqbyfvz+EpwXn6U8c4UR425m8z+kNH2K4UotXTNnWZNqxkA11UYwbCgkM9xA0aU/Ix9owLSznqUzs+hZ1lmOSzIWlYggQE6QmCGFCiOComDI6ZenWtMiG5JZvnQJNof15BtXoVNARIUAKAEzZytNrD42i01xETo1TXBqhjKbDwUFp0aFgoSm2EJWnqU3/wJ5Y5oRdyc3r9pB6nKE2FQI67CK5PAMM4EwgqqBgDPJOBFKcKK265GmkyS7QmR7o4BCJCdj1YAakQrZC6k33mvZ3gXM1wVAJ9J3c5rKgybiJUmeeOEh7mu4DwBRLZI4NnntGCX/xoTN149Sy1rWM945T+G9dehrHL+2PrLCCm+FlUC7wjWurm+VNrZSMpxArahInDmL5pFvsOOvvkb5bXfxqLab75pm+WDVFvZd10B5UyHF1bfyVPzfeSTyU95X/VHqklWMO6KUeSVmv/AZXB/9CrraGwCBpZNznJt7Ao1+Pc1lHobSgyye78UQiiGW19C64240L88Q9H8LyXE/elctW8ZLORm8iNaVZP0tf4p1Ikemd5E14wriGZn20ijpeJTCjRtw7P8Axad+xrxBheqb3yZ5x610XHyGxlU3UndhisTiSU5v2cyNVgfF+9dy5olHuCgItPasp+PyeQJWF1PeAoqyPnoa1rHNk8L1R+9H/Nd/w+bSYV86xYwux2BulNqwm/LxKyyID2MdPYOoSLjMOUYVEecfvp/I5CTxyRL2zU4TVA9g8RsZzShUXZxEfOoBpHd9CfuSmuhjQwgoSLFZVFYvFvVy9q0CqFFRjBm0vJZhDYnsAiqjEUNex/ZQHgGBVLEXw4R4TaTj1Uyaz+gEvuRWs30uTywg46tbzejQEFLQQJVeg0ujgmASgir+mvv5afogjyg/Yc/oWpwXRLSIJA0S+qTIQmc/mg0pvEIA1RYruqgTQ50DRVbI9C5cM21wqsXlQA/LNbK/IBoy3yphKzIS/UkfgmoOMVeE75iKzwp/jM7mwvTuQgy1DrTFFjLjMZZenUIQFFLd828QYLmaTSxLMge/37Wc7PQ7nFW8wm83K3fmCtdQqTVUNK8m9rNT1wQvzFvbKPnHB6j/g63odVoMpTcS9X6ciqI78UR6EOU8I2NjdM/NsGGkmOaQF2UgjhiEcUsxns9+ley4FvOOYpz31OK4p4a1H7yL1j/aQUYDsc5+tnjuwLh6D2PyWsa/c4Sirl24HqlAdTBJYdc8pxenkFAxPj/Luc99i8hDPUQe7EEKq1BpymkrqWWz1YMusJGDD46Qvf69BHzFhMwG5HwOAOnKCZ7WmEht34VhegRLqZ9avZ1G/3pWNe3D9eBjVEvL11hrb8S3VEzrzMucOvRT1PWN2N73aXpeegnjkf+gYrqPelMl7goHIOEaOQlIzHpcGI88xI71eQJ+gfihV/BoVFhkG+WVN+DW+yk3FWHP+tBX7sFplRAEEBQFRVZQO3UICGhqrK8pRS4HKcEmkY7PXgtZFq0LU96wLM6hLEtNmicE4nkZybJsorA5LPHl9hRbdToUAVqb61jbWMCGj1yHvUHBckcFKZeWq/U0IiJ3RfbyOflTuC6q0NYtjw4TZTLjziz1zs04RiZInf0OVTGRbPcC0ceHyPYuLJ9DWH4QgGUpCtmmxbixCGObD8utFQhOHfP1Ek+MvMw5ulG5DFTli5CKzdgO1GBocJPtipAPLiHq1Rib3Nj3luG8t57s9BLz/7P7DQIsV7OJgZVkp99QwuGw6otf/OLbYoP0zDPPWHbu3Fn1dpzrnWAl0P6eoGSzxF85jJLN/qf740eOMvv5j6NvyjK9NIAsClh27UTQLvveVn/q46y99HXc//ZVJj/2MRLHTxCQXOzJruKOWz6Ea2MJAgr6OjtrbqzAfvtWzFt9yK/ZlJkaC6jetBlXJINjVkNxXRuqhhT5DSWstajx712P2jiP2Ho7ly93sO62A7irC9AZ99PmuYOJ+VkS3sllo4OcQlfDnyAuOXEcP4X4j3/L9g15HLOXGTl3ioulXpaOHGWDrCUzOUSJPEjNdZu4YdNWLCfO0PvlHzOU2EzfRC3ZHX9A+eUe1o4Fqdu5GiV9im7dFP/9Tz7GI1GZ4YSVk9vaiO7fhxoBn87M6bF+krfciLapiZDFyMVCG/NmHdb2Z8l2XsarUthoVlO0dg3achMSeZa0EXLpYYTa/RyVTGRRSIhJEEWUvB3DBgf58X4UBCRJAgSURRWK6effV1d1pFWokF77W0TAohIR48uvNQpsD0lY17hJVMjkp5eY/3E3o98+i2tIRfBwH4b5LEmX9g1jzkK9Zzn2puaJrJJw9ahIz4h0GXsxnLxMamsLw9Y3qm+pqixkNctBP61Z/koZmkuTPBtkURDIDi+iRDI4e1TcH91L5TN65HAaXamV0g+3Yl3vwXFHFYZmN+a2n6uDCWoRQSWQeHUKy3XF6Gsc1/S4/bU29n+ombJmNyUNNkY7ziG99lC1wm8G8/Pzqh/84AeFv7g9l/v9+5xWAu3vCVfN4RPH3+xV+7/ae+/4qK4z//997p1eVEa9IhAISUgCTEdYGHBsYzv2Jln3EjuJS5rXjpM4ifPzb3fT4xon2fXGm+J1iUuavRAb29j04oYBISGKEKgB6mU0mnbP9487GiQQNl4gyPi8Xy+9GN1z597D0cw88zzneZ7P8PHqjmqyHr6f7gl2Xnr4JzRsfS9+jn3eHPruvYl70itIfvYVUr70JTwLKnGXpHLOdVUUXjIP+uoZeOsxJhR2YQG6/ryb/rXNDKxvofPZOgZ3dSEjBjIqkUg29vyNHU8+xIvvvk7PQgf+1W8S9WeQ0mnh03d8m3mXf46UJDgUlazw/x1PmYuJt1yGqyyV7BxBee3vybBqIHRSb7qBvCxo/sa/QGYmpS4n5fd8j4Rzz6U+I5mpZdPJ6h/E8sAj9P7hD/g6aynb8VvKqh/HtfIZnBVTKf7sldi8LvyvPcWM2u18+Z33OFz/Hs7JySzNmsKs732fxGv+P1K8i5nfl0yaP0jKjTeQmZjCOQfayEopp//1N+j83e/wXDATPdFA+tMJNwzQmtjBSls1tbbDbEy18u1pTv7H1UtNnxUpobG9mTef/xWtDX1EidJg7yQqo/QGO3BqGmEBa1IthKQZnBUIdPQhhxLE0YFaaN2yD2+9RmBDK2GbwNWl0xL04+qy0BmJYh/vwz0vC0uOG01oZHQmoqVGCe2DlAazcUaRw8KMqefinn0rvvA8wu+0jxBsEN0R7GEdw6bjCBsYPjuZ+R52B6Ks+HsD/UUpWPO9Zkg5z4veF8E2zkvCdZNY3bSG/urDDNR3MrCjjf76TvZta4/rx1onJBJZkIN7YS7CorF3716ee+459jXUM74iFd2i0bD1PV568McjXquKM8/dd9+d29jYaC8uLi4tKysrmTFjxuTFixdPnDRpUlldXZ1t0qRJU4bOve+++zK+8Y1vZANUV1fb58+fXzR58uTS0tLSkh07dowQHVi9erWrpKSk9OjjYxm1R/sJYahxhXvuvGP2u4bGu+67hTv8v+OByY9wbtbsEfWIABva3+Ku4P/w8IL7yfnFL9FSiqjf+h4F02fgLE0BwFtlNsawpJfSu6qRwPZ2otngmZCFI9uLjEoC2w/jX9dER0WYypQb8GZD4t5uom/toG/1Snoca3EfeI/8eb8gsOktup94grTii2g+vJPcqUuxuNwAuGeeg2fS62iOeRhXjMdWnoJ79iwGP3M5q9e/wdR9Ley+pIlZN9xE+HAbFXd8k/6NG4eaD6HJKJnOTozGRvB6CW7dSnDrVkLnn0/iddfT/FY3ibsMSsuKSKvR0IxUuv+0DSOQje48QMb4RGy5ObTe8x2QkuysaTjLb6LT7uANn4+lNQN4cjSk0U7gnb+QKARLZv8TvoEw9o4I/3agj3yPg/pmyWF/L1uMfkLyIMmeZEKikzX6dgKhKZTa0kDAxlQL90xz8rMtsLDdVDgSRJCxt/FoLdcT2qxITM/YEjRlA5PSUhF9IXwWHfHOIfyxTVVh14g0+xHoCHcU2asTiEax53pwpHqIZA8gAxHCVeno6x145mdj9IRxz8mg9+X9uC/I49ALe9AP9JEAeB0a4xbnkH9OGqIihb7VTbjnZuLfdBDvwlzWtK3jmeW/pbD5FlovMPh99u+5uvpmatdLLow1mGjc1c0ryxu4KNfL+IrUUUUAjq6dVYwNHnzwwaZLL73UuXPnzpply5Z5r7jiiolbtmzZUVxcHKqrq7Md73nXXnvt+G9+85sHb7zxxu6BgQERjUbFvn37bACvvfaa+84778x/6aWX9kyaNGn08NwYRHm0nxCGGlcEG/yjCg4Im41Zn/syD5z/iJltHKtH1NAJ1HQgIwaV2ZVmNvK4hVizK+h6vp53HnuBAy+/g4wcCSdG2gWdz+7Gkuog4Gvnb5seoTujnUhbgM5naundtJNg3Sus3P4EOavsJLY4uLgoFfeaN3HNvo36jGQGL/80enIR7rnzmHLbF5mXnE+mawLOiRPjIfDtjzzE6r5aGjrWs6Ytneof/46OPzyB4y9/49zMFOxfvYrpS2+i7s8v4Pjriwy++x5biyz88nKN4OQCEAKL12tOuq8vPn//668TPizJLF5KqqzFuWMFkV0rEJpGZ98Bov1r6PnTT9F0QfcTT2AZZzbLH3Ly1haUcP91V/CyPUSkfTdCSwYZwV9Sij7ow+PNZtASJfntQYya16lKFWS4E1hgTWBK2lKK3KnkGD6q9Cl4KiYTcgwAgjmHQvxsS4B57ZFYS36JxHJkP9d2lKnVozBomG0VISYRKHH3Bs2/uUsDO2AzPwZkUIKM+aoBM3vZqevorQF6X2rAaBlAdoWYtM5JpD1A1ClI/NQ4IgcD+K6ajD3ZRdq5ubjnpiOR1PW8hSbb0IBgfQ99q5vwbzpI3+omBnd3M7OnlGuXfB5neZipM2dyc8XNFFZbuOiSArIme1nVuIqsyd4Re7CjiQAMvVZ1y7E6zIqPRtAwxF8OdSUGDeOUS+VUVFT4i4uLP9A4dnV1aYcOHbLdeOON3QAul0t6vV4DYM+ePY6vfOUrBcuXL/9YGVlQHu0njuGCA0czJBw/nCEloJTrS3CWpsTHZaGHlgvCzOj+DNaNUQYLu3CWptC/bj2HfnQXGfc+gtG9k9CT97HoX+5AO5RK34YmnGWpBLa3Yy+6iHPPj5CUVoQuLGQXeuibCEYwi2l7ZyOWLafT2EvKDQ5SrlxIB6vIWr0Z73sFtC5/i8zvwfg58+l7dQVJA8+z4O45iLm3knjBFAZWr0BbsYnJ08tpfX0br7+2jEVf/zLNVtA2b+VzN/2Mcft1Qjtq6Xz8cQD0vDwMKZFNZlmJNV2j7/XHyArsI7G3jxA6Xe4we1ojZO7cQEY0TO/rb9CZWo6vcScJF1yAlpaBf+V/Utmxm2/1HuKCjm4sJedDcgj/Z5dSkDuLd7cchD4Da14Cs0N+dnan4InYQAh8ydkkyEwO6O3kGD4KB9IJNLZhbesHrxu70Khqj5jep5BDib7xbGRCw8pgLFHCjTVYs8qIJ1URe87Q+QNDX44M0ED4rMj28AjPOP5YM0/DAru9TYzvSOGN/Ss5/3AVfaubSLm+BIDOp2vREqNgwLiCQqybDfZb95O7OI/ka4s5OBBBm5+NYRh0P7eLigoLh370dewZjzKraiGDqaa84+rWNdz15l08vOhhzqsY+ZpUnD6Wt/UkfL12fyGM2/vZjORTJi4A4HK54t/GLRaLNIwjX84HBwc/1OlLT08PB4NBbdOmTa6CgoJTOrfTzckKv18hhNghhDCEEDOHHS8QQgSEEO/Hfh47+akqTgXCouEsTflAndrhHM8wbzi8kdsb76ZpeuSIUlDEQE8tJefhh0n+7Hy8VZXkPfwoCRmLePXlRsLzM+me2E3SNUX4ri/lnMpKDof3Yy9JNJWF5Hj8Gw7hOZRLyk034SwPY82y0PWnNSQtncGUO35EW/Es7HNuJTqYhyN3JtP//afkP/AAHl8+q9bWirlK2QAAIABJREFUs+O//pdQlxfv/BlYpl6N7S2D+T1mX+W///ohwr94jvQ/1nDwW9/FWV5G9kMP4rngAqKNjXEja586Fc+MaRiHq5kwczbO8gqQUbyNjVRmXE6WczwAnSmlbC+7Fb79ILkP3I9r1jlEDleTvGAuF234Kw4tEQnILhupzQUMbm5naloSOXadzIEIQkC6kcyeQBiQdIcP0qJ18Lp1G2+F3qc7EsHZbUH3ZhDF4IDeTjTmNktg6IPKGC1oHNGx5pRyxKoCCIQAI2oAI2tTMYAhI3u0Zzw0bhEQgcKGdA5m9DGvu4LeVQdwV2XjKEo2f6akYPTo6BmQff4cIvOzeWV5A427ujlswIo/1PDy3xtoMwQp15eQdNnceC/u4a/NyuxKHq56mJk9pSOiJYrTyyVpib2/LBm395K0xJOWyUtMTIz6/f5RP2hyc3MjnZ2dloMHD+qBQECsWLEiESA5OdnIzMwMPfnkk0kAgUBA9PX1aQAJCQnRl19+efd9992Xs2zZMu/Jzu8fycl6tNXAZ4H/GmVsr5Ry2kleX3GGGfrwO5p4GDm7EktU0r9mNXpqKZ3P7ibl+oq4JJ81uwLLU7VceEkB4dRDLHvkp1x29/eYMGUWDS9v5n//+HM+ffd3yLIV0vdmI+75WRj9TVh8Bk3f+jaH6r6LN5BOpPtddjd2s9JWzaUVi9DXteIX4LtuOgCWp2tJi9bgLboYffArvD5bMNu/D19eCO/yGlKd13HJ7d9CbujC3evDcc8svOdVgmbBmjsDz+Lz6V3xMiDZd/slpMmp5Dz6KzzzZtO3ag3+9xpp9lfTWvcY6Yd2YC8ro/S6G0hvhMzkCA3b2tlXaOGPn9G4uaiQgpzpdD/7GAYacnIZemsHtqwKos1+M+jbGSQ60IkvpQh3dACBjSRrJoHB3UzVxrE1YT85oW4SjTQEkmbRyUrrdhaFyymIpgICTdNACPTj/O2koSNsQAiwaxA05QP1BDA3Zo9DSCJFBH9BLUkpVcjWENFmP0QMogg0Kck+lET0UC/rPVuZ4DCYGcknWN+Do9jH4I4OnJPz6PpzPd4FmeRdBj4iuItSufCWMgDyy1PQAP+ODjoGxuE0tBEfRlbdypyBcjqeqUW/Xh/1Nag49dg1TZ4qTzYzMzM6Y8aM/kmTJk2x2+1GWlpaPN3YbrfLu+++u3XWrFklGRkZ4YkTJ8a1Zp966ql9t9xyy7gf/OAH2VarVb7wwgt7h8by8vIiy5cv37N06dJJLperYfHixf5TMdfTzSmRyRNCrAK+KaV8J/Z7AbBMSln2Ua6jZPLGFjJiMLir65jEqaMZkuLLeeRRrNkVI843BiP0rW7CMz+dvk0baPc6GT9zNqFdvXQ8VUt4nk7+0pkEd/bQ+XQtzoooh3/0dXIeeoimwzprNggWl0F6QYTWh57Af+U/MfW6T+Nf00L/miZ815YQNaJse249+vZl5J9XwV8aevjx5Zdy8+o3uT0yG9s4g/B+HVu+l+D+PpCS8PwsDpzTzMyeUrqf2YWesIe+V1+l/Uvz2dDSylUdF2JJqMeanUXPi2uxF11A4rVFbN/6FMk/eQItsxw55wLc0QIQ8FbAoOJTubT1vEbWijDWnHOwTQly6GAbSR25AASiBk5dR3gs0B/B3GM1Zf/MgtoIbZO3kt4/l/0tLaTZ0nAOmu/PcHiQVls/OdKHjtmYYuidO5rJlABSYtg19JBEZDqwJDkQiFjta4y4AY6RZIXuMMFz9tDg+wkTov8KKedjfaMG2aEhPAbSr2OblER4dzcdFVFStuk4ylIYrOnEc24O/WuaSL6qmIFD/by6o5Um+Xeu7biA1OunxA1mNGLQ+Op+9DVNSCkxFuZRcPH4/9PrT3H2yeR9HDlTMnnjhRBbgF7g+1LKtaOdJIS4FbgVID8//zROR/FROXp/9ngMl+IbLi4PR5Jgol0NHPrhXeQ++igALb21ZFb14zrvPDAkkYPb8V1TimNiIrYM81qTNQvOClNLVDMiRHo0PNutBPf1kPipcdjHJeAoSqZuVx0r7dVcet1SkibP54rDtXQEd3OAd9ncP50ZM8tJzu+jf00z1hwP4WY/bd5mcw+w6mEqKqD98ddwzb4Nf7CVqzor0Fwt9L36Gq45t2EvugAQRJsDzP3c1+jSpzGwzYY0DELuXrrtNVQn9DN7wwVMKq4imNOFRCINsyUihoE/sRd3XzKa14rsG/pibyYpyVhZTn/qdrpy/wPXVo3kggpC4QjORtNftVhtcSMLxMprTCMtBQiLAJsOA9HYlSHq1LHleoju6UUeHCR8cJBjGDKyNtDzE4nuMZ2Z9MJPoR22oq/Jon6whoJzs7DrrUTbdTxVZrP/8O5u8hPz8dPMYHUHjrIUPPOzEJrAWZzM2nSde6w93JV0Ac66MPYCd/y2B2o6WbG8gQsvzEdogtzFecdM7XjRFIXi48aHfk0UQrwuhKge5efyD3haK5AvpZwOfAN4RgiRMNqJUsrfSClnSilnpqWdkiYiilPEByVODWcoo/loIzv8GomXzCbj+7/EPXeeWff4i59zcOXXEPvfpH/deprvvINoew2ayxG/lggGcL/xNLKvj943W6ieofODnMd5x1MT/xCOiCjNln2cXx4lmOal84V9JORN53sXfY7rvngr0744hcwyH9WHtzHw9m8Y7K9m8wIfCd06D875KZWBPjyLJtM1ycOmc3Zyn3yIusmHyPjaUrzzygGDqC+Ka0G2WQ9c38v2+RZsU4J07X8DeyAR72vV/LOjAiEF0Vh98ODOFfQ88XsSOzJB00jKyEdPdSD7jy3WF7Gvu672crLf/xr2zlJ2NtWRGDOyQhgINOotLUeeJMEQmBbVMCAi40YWALtAHzSI7OmBZCta1hEjNyoh4kYWYHBHD+5D09CkhUK7juXtwzhK8uNbu/71LXgX5ZG4JB/PwtzYczriWcXB+h7mdRn8/P0A1+0yaPvRnfRuMLVrI4EAyYe2ceEXism/eDwFl07A4lB5mYqzlw99dUspz/+oF5VSBoFg7PG7Qoi9QBGg4sIfI/5PHkUkBHtXQuESsNji1wjUdDCwzYKzwm/WPd51DwXuLmR+FZH6tYTu+DIHdGh7eRPzF8/AZrfS/vh/0/HYY0T6sjD8WUyV+XDZF6nMPiJiv75lPWuW303VlBBrt/6Ziy/6FTlFyQhdY3GBqcP7es0h7typ8/zsi3jbWsC3nSE+32rlpg1tWBvv5N2uy1nfcZDKrUn8a/oVFB/KJNwaIeXer7L18dfJaE2hF0HG9SVsdm3nrjV38fCC+6lIO5fGzggZJTcTqTW/ZER29SDQMGbNIcE5Dv3wZkLMJbLHLB8SKXZkR/CoNTP/0aQFV/t0dGBWtARiAWJpaAi7waRQ7ogcpmByFHvEQlN/O7lGSkxOALACQRlvKiG7QhiE42FhrMDxmvPEQsnBmk7sJT7sJT4cpaloNo1gg5kfo6e48C7MxRtrImHLduM+N8est53sw5bnNROjgM+IIuwFbtzpj9Kckc7zzz3HZSUl2P/t38l99FF0S9ZHe30pFB9DTsvXSCFEGtAppYwKISYAk4D603EvxRhj70p47ga46kmYvDR+eLh3LCwahbNNY9n3xpts/bf7eK8gg/BbGwnkFKJpOlUXziL1li8B4Pv8hfjf6sK7MJfzHBNG3K4yuxI9/WYizzzNkiVXMz2tD0EEOOJdz81P4IE0nYT2cZzniXCbzcVvCmFB4SKy1nyH8tuug1/9BzkT5hF4/Mc4vjYjXmJyT+JP+Wnaj7C2vYhtq5e5X/mcmQ3bX0q1vZrMbYLOAsHwcI2e6sDd7iPa54tlCR/ZRT0SNh6dI4lNR8LCCJBBQXdCCwl9OWgxA+rq1Nlvb2eldTtLwuXkxxKncNmgJ3YfCWYMWzONLIxuZIf2jWOhZGu+l+DOTtwLc3g3rZaZ/aUMbDQ96sCONsK7uhFJDozOAP2rY9na15WM2Esd/kXNu3gREyMRrrrqKvJzstkiWymcNwfFacUwDENomnbyiTiKD8Qw646Pmx5/suU9nxFCNAHzgOVCiBWxoSpgmxDifeBPwO1Sys6TuZfizBONhNn77uYP7ilbuMQ0soVLRhweXrohI0a8CYZnQSXTfvBjLr3jW1xy4xeYmj+ZWQvMzmya203S177OqtZBnEvyERYt/rwhLFInxzWfrcHxpDtdrF92O+HdK0bce9sr66h963HaCkOk3TyP+eNa+U3ZOGbX7aDpZ0/St3IHJVf+C+FdXppK57Asz0lvXSfzfHP4xYSf0OpfTuoTm4j2FLL7wf9hZk8J3U/XgQE/yv1vQt4jn2P2Uh/R9qG90KFaV3nknRb68FIVbYIX6wQvhk2gT00mFPUDAvuBkGlkh31s5gSTmBWYQmIvpmGWQE+IodsiAHECb/P+CNhjXwhcGrZ8L865WfSvauL5/32Cd5w1uCqzsU/xYfjNv3//2kb6hsnZIY7s6+9/dX+8jeIQQ80mNne9y1cHf8+G9rc+fF6Kk6G6ra0t0TgNzScURzAMQ7S1tSViVuGMykl5tFLKvwJ/HeX4n4E/n8y1FWOPoZ6yl939PQpnHMcbsdhGeLKjMTzJyjHRi67rTJo5l/rtW2hY+Swt0ybEr79mVxu3P/Uuj10/g7lRwdZn1zP16ko85enxa9nehsuvvYd9Jb3cPZDKw04nC0Mhet9YRaRT55ylswGYcukC1hxcy7feuJvvZ34VnXz0tBIC2230hw7iqcwimnwl3w/Zsa3YzdLJGeSss/BMZhfWz2YyqW4Vq5q2cXnDLKzAlLRSrsu8mbS/mRnA7nNzsKa7CNZ0MmRk412bPsy+xrXlwJHtRbfqROr7MLZ2Y9c9SCTBfDuuQQ0ZNuJZx7rUKDR8hD1HGuUM2dehJCvESK/6aOKjQw0vBgz861rQUs0s5dsyPk9hoJTuDXVIJI45mWi6xsC0DPa9UMcku453YS6OiUkM7u4mMjebLa/sR2Z5GD/92LyL4aVhitNHJBL50sGDB//74MGDZagugKcTA6iORCJfOt4JKgNBccKcTE9ZGQrRv249ngWVI8LI/WtW03THHeQ++igFVQtGXD9kGART7Pzq6unMMXQaOcxK23ZS9GKKMQ3t0LXsExJJ3XmYX9u+xMyM+WaHqp//HufMWxHaFub98xKz7aQDctqdNLy6jDeuXUrGF2aR0RrBXtvJgCa49OqJ9HXu5cLFE6HJj5CCL2bcRF7CIG1/e4IlV19EWkEhWqGOs9hH0SMWor0aWkKUpAsL6FxeHyvaEQh7FELHqXJ16+A/krykZbkwWgYAGKzpwD4vi7AzijUQS4hC4PJngGEgMNCyPBitAaQQOC0WnDL2Vh5mT8Uoj475uwCRaBSLrqMn2zE6g/H5G+2DOMtTKbu4kGBDLy2firL23ZVcuflTpN4whdSiZHBa8FkFrmIfg7u66PzjThKrcpjp1vFZR7+vVbdyblYVB3aYGeW6Kt05LcyYMeMwcNmZnofiFNXRnipUHe3Zy1Ctbe6jj+JdvCh+fLgBHp61LCMGy95v5st9HfxnQgrT/7yfpGuKaLZ1UVhYOKLXLUCgpoOOJ3cwsPkxsr5/C54FlXGP1nPZHLa+9w7Zr1hIuraITY5tHFpdz0M8xtSGMN940YHzhvvJWFJCTW8t6a9IemYICieU0vWnHXB5J9b3vYTrrVgzIdJmwTU1iufy2ez57VskNGnoE7w4chNpqz2As800HCLWSekD/clhnuzQPulwZRwAIQRSSkJRA5umxZ83XKsnShQNjQECuHAeI7j+QQyf30BGlFeCq5g78zzKMspwlvjiEYika4t4x1PDzP5S3MWpx9S2DtW92ickms0rPqD+dd+2dl75r+2mYHtF6gnPVTE6o9XRKsYOytAq/iEcz6Aej0BNBwefqmFjqs7F50/CbtE+8IPb3PdtI3K4Bm/VyHusalzFt974Jr8e/wCz5lfREBMNz/pMFE9BhGlvWxncbifl+hL0Qg+1f9tIyhad5GuK6Y6up677HrK3fJUkUUGkTcc2LkrHr++k694v0lSnMS9Qjp7lMj1MIOKIYh00PVEDGYvcDpm+I2ZtyHPUc9xm5yWgNzdK78F20qypaAZYgzok6NAbxUCiEURiP+I1m3nJI9bCXuIjVDtSNOJECLuiWAd0JJLk64vxlKXH13aocQRG5CP9HY9HNGJwoEZ5tKcKZWjHNsrQKsYkMmIQqO0EAY6JSaN6SF39Ib7/YjU/vLyMJIdlRBehcDTM+pb18X3AocdW3Wp+yG/vID0W8pShEN0vbSLpsrloLgcDWw/T+WwdiVdOpNnZQZKnCev74xhsOIjRZMH7uUL0vjrwTab72T2mscx2E2nxE4hGze5PmIa0XXSTKpOGbZyadbEytmUWSjBILs9jYH2sRtalIQeix/FIjwgJDPdoJRIjGkHTLBjJAoslintWPv1vtsLgCfQJdlvo9QVxN4J/PIybOwXXlNH7YR8vMgEQiUTYu3fvqBEHxelFGdqxjfoqqRiTCIuGqzwVZ1EC3X9bN6q03/dfrGb59la+/2K1Gd58sobelQeQEYP1Leu56827WN+yPq5KZJGm5J8GZNo1up7ZyeCuLvybNnLoh19n07LfEAoGCbWY3uW+w008//xfaNuZSmBdG8YBM4S7o60P7+JFuCamYs3zADHBuhx33MiCaQhTZRLCbcFIspr+pzAAHeEQBFIN7L06CLBOTjKfNGCMNLJJw6XfTIEAcZSRRYKmWzAcAr1bYrRp+FcdiBtZy6SkUddY88V0s/0RkgJuNDTy5hXjnpp2THb4EENdwJxzZx+TgT4kyr53796jb6VQfKJRhlYxpjFl9+7EVRE5pkPVDy8v45LyLH54eRmOomS85+WZWqe7ukbNbA3UdtLxPzV0r2ggGojiqcrBPiExLnr/jf4nqH1pI/2rm7CkRymeU8xVV11FyblTcZSFCbz73zyv/ReByc0A9K1tJtLoB4+FaIufaLMf3XcknBr0mslO0h/B7okZtaFK2UHwYHZrGljXguE3s4aPDgPHa19jYwbGiDPEkPEFkhbnYC1KQgiQAR1/QheOeenYM1wAWLKPdIdyn5tD4oVmb2E91YnRMUjConw8penxc4b2Zod/wRnqAra/tpqXHvwxDVvfi4+NJsquUChU6Fgxxvkoe7ujNaEffiyws5POp2qPJCAJSLmhFGdpCuFomC3r15P9so4lPUq4VeI+R5D8z1UM7Ogg1NiDtOxjW5Ewhe91K/3vHab7+Tp686J4G2MJUDFPU89xI1w64d09RzxUtwX8ETPXf6gblM+Onu4ivLNrhJE9XjLT0N5sHLcG/iBSWtASDZIuKqHr+V0YGPGqHt/VpUQO+fFUZtO7pgn/mmaSrynGOTmZ3lWN6Ckuou0DJCzKQxvWCjEevjfMhhfOEl98XaORMA1b36Ng6jlKcH0MoELHYxu1kaIY0wx5UCd07rBORMZghJ4V9fjfb4GAqTbjnp5O8tXFMdF0gaFF2ezaTmXU3LudNb+KwdQubHlOupZtZNsMycyd7XT/sQ6AjhlWKsdVYpE6A9XthFv7QUDOnCIOhXbhOqSjpdjNWtpYMpJAYMnzYMvzMrCh1ZyoVSAjZojY6AxidAbj5x4xpKPkKmsghvUeiGY5cST10f+/q7FPXIL3vImEmv1IoJYIJcKCa14mwiJIWGIKdkQjZlZzJBwmWN9jdnWK3WpIpGH4lxWhCzqeMf//Q19KAHSL9fi11AqFYgQqdKw4K+le0YB/40HkgAZIQru76Xp+F+HWfpxTUnFPS+Pd5J3ctcbcxx3u+epeF9ULdO7a+C3ecdbgrsqhY1qU2/33sL5lPQPVHXQ+VYt/bTPOuVnomoW0SXnoOW6MjiCGBNtkH9aiREi0EGnsJ7DvSPhVBsw9z6gWPWbeQ0Y23lFqOAZoKQ6sk01BedEyQKjWgm3iEpyVmRi9YfzrmxFAKTbcVXm4CpLpfLqWwM5OBnd1EdhwEICG+l3ohR5aLoyScNVEfNeWxI3s8HCxoygZ33Ul8XGFQvHRUYZWMeYZLSnnw84f2HoIEPHOTCLZDDv3x/ZwYWSHoqMNzNDYzEAp/nUtTCgt5hcTfsY83xz8Ww/H7xU80EP383X417Wge817hHd2EarrJLyrB3rMGLFsPSJRJxBErQa6cTzJ9iPzBsB5JHHJ6BgkXNeDuyoHY042fQVR7s9+gr3eFvrXNJv7ziU+BODMSzB7HAOH39mJJd9F4pVFdJ5jUHzJHNa1rOPf3/4u7yTV4Co362KPVmwSFg1XWWp8XKFQfHTUO0cxphjNqI6WlPNBDO7qgoGh58eyc7tCuOdl4VmYi31CIjIUYnD1OhZmzMeqW48xMEOZyu7iVLO+VljIfsVC1x82E6o90rZbxvr+6jluIj2xEHDSsL3kLEf8oeazo+eYCUmW8EgjG/dd45s5w8LGAeLhZc1nxzU/i6TF+SS5dBIadG533EDpjHNouSiCa0kOqdeVkHx1MaHmPuzjE4gUa2i1EZrefB9vRTpFZeXY7HZy2pwsei8dqvuIBAL0vfEmGJF4T2qFQnFqUO8mxZhiNKN6orq4w89Pvrr4mC3OgYZu+teYWqn969bTdMcd9K9bD4wUPRjO0HFniQ9neYTB9xsYHtKVsaxgGYhgtA7Ejh3pO+yelIJzrikFZ3QG440phmNGiWOpUJFYtrL7iCG2TErEU5WDdXISRmeQgY2tBOt7sGaapUUJ9To1b7/HbQ13seHwRrOO+GA//aua6FvXTO5VM4kusJP3qXNGrO/Ec2Yx4/ovsm7LNqqXLRuxHgqF4tShkqEUY4rRjOpH1cUVFg33tDT0NCvtv9wePy5bA3gW5iINiXvuPHIffRTPghNrbC8sGs4pJQS2auCxQn8Eke3E6rYT2t2N0RlEeCzI/kj8OVqKA/+aZtxVOR98bWICABpIQ1IfPEBxqCCeXeypSCfaOYg1xUmYbhylPhxFyciIQV+em3CjnwkD2aZ8X08pMsuIG2FrpgeLw874T88DQC+yjpArXHDhxWRNnExhfj6BlNQTXg+FQnHiKI9WMaY4nmf5f8GRk0Tq18vBCiLDSeLnirDleel8ZifBBj/exYtOqI1gOBpmVeMqLJOT8C7Kh4Eo3kV5ZH6hAqHDkIcr+03v1jo5CXuJD6Nz0LSihsRVmY1rTia2yT7sM9PNUp8YUQcIJLZCLwIRN7L2Eh/JVxcTaQ/Q92YjQtfwLsrDd8VkhEUjWN9DuNFPo7+WnrQO5gyU0/3MLrPfcHEykapc7MUjowBHr++QdJ3F6Tzh9VAoFB8N5dEqzmocOUnk/uDc+O8yYnxgGHq0ut2hLlMPL3qYqoULAPAuzKVvdRPBnV1Iw0BognDz+1hzpmPP8pBwXh6Du7sJHujFv7b5mPu4q3Lwr20mmu1hy+4uZrg0Qrt7cVflxstt/OtacM/IwJrtwX1uDrZcb7w1oowYSEOSdOUkIo06GeXTWdM3yNzrinEUJZv9nJc3cFGuVzXtVyjOMCcr/H6/EGKnEGKbEOKvQoikYWPfFULsEULUCSEuPPmpKhQnz/E85qEkrN5V62n94eP0rVkfPz6zp5SHq8zs5GB9j9l9ak83lgw37sosHOWQ9JkCnNM1PAsy6V/TTOMLu7BNSsKW6wUwPdoF2YBpZBMX55NyQyk5t5Qz9cZikheG8F1ThD0vAf/6Fux5CaRcXwISup6rQ7NodD1Xx+CuLmTEoHflATqfrsVoG8S62WDFuka+WNvA5gwrwqKRX+rjotvKyS/1/WMXWKFQHMPJxudeA8qklBXALuC7AEKIUuBqYApwEfAfQojj1TIoFGecoSQhGcnHNed2duqSUDBI78oDdD9dx5yB8hHZyUjoer4OR6GPtBvOQ/rr6fr9b4n2tRCdnIyobqfpjUaEbu6zalaNpPPHkXJjKUkXFKA5LDiKkgnX91AwLRP3p85HWK04JiWRcn2JmXwVS8JKub4E78LcuCc+uKuLvtVNeM/Lw7swF+/CXKatOsh/JqZyns807LpFY3xFqlLGUSjGACcVOpZSvjrs103AP8ceXw48K6UMAvuEEHuA2cDGk7mfQnG6GC4gv8vTyFf3fZtfaj8nZ7XFLAkqcNP3xpt4FlTiLE05JgTtWVBJ+vceIbBNJ+WKVNrTXOQuzkO3mPuqfaubsOcn4CxNIRQM8v6GjZQkFdPz7B7TcAMdT9Xiu6Y4bpxhZCLY0L/DE8aERSNhST62PC8FRckITRlWhWKscSrflV8AXo49zgEah401xY4dgxDiViHEO0KId9ra2k7hdBSKE2fIoGkOC9MrK7l/8QP05xn8IOdxthYfwL9p4weXA2kW9KRxppKOVafg4vFYHBaERYt7nfYJiQC8v3kj6X+X1HbujGvgbnZtJ+naIhB8aM3w0fc+lQlkCoXi1POhHq0Q4nUgc5She6WUL8bOuRezTfrTH3UCUsrfAL8BU1Tgoz5foTjVDDWrCEfDWC6zUJldiSVbjigHOlrAYHBXF/1rm/EuysNZMnJfdGhf15bnxVmawrQ583ifjUybMw+b3c6qxlXctcZMtlqYVfWRaoYVCsXY56TVe4QQNwG3AUuklAOxY98FkFL+JPb7CuBfpZQfGDpW6j2KjwuBmg46nqo191NjoeSjlYOG+KAxYIRIvVU/vhLOiZ6n+OSh1HvGNiebdXwR8G3gsiEjG+Ml4GohhF0IMR6YBLx1MvdSKMYSo/UEPl749sNCu0Me9IcZz+Fi9gqF4uPDydbR/gqwA68Jswv6Jinl7VLKHUKI54EazJDyV6WUx0qVKBQfUz5qt6pTwWhi9gqFYuyjhN8VCoXiY44KHY9tVJqiQqFQKBSnEWVoFQqFQqE4jShDq1AoFArFaUQZWoVCoVAoTiPK0CoUCoVCcRpRhlahUCgUitOIMrQKhULFRjvTAAADoklEQVShUJxGxlQdrRCiDdh/ii+bCrSf4muejah1OjHUOp0Yap1OnFOxVuOklGmnYjKKU8+YMrSnAyHEO6qQ+8NR63RiqHU6MdQ6nThqrc5+VOhYoVAoFIrTiDK0CoVCoVCcRj4JhvY3Z3oCHxPUOp0Yap1ODLVOJ45aq7Ocs36PVqFQKBSKM8knwaNVKBQKheKMoQytQqFQKBSnkbPW0Aoh7hdC7BRCbBNC/FUIkTRs7LtCiD1CiDohxIVncp5nGiHEFUKIHUIIQwgx86gxtU7DEEJcFFuLPUKI75zp+YwVhBC/E0IcFkJUDzvmE0K8JoTYHfs3+UzOcSwghMgTQrwphKiJvef+JXZcrdVZzllraIHXgDIpZQWwC/gugBCiFLgamAJcBPyHEEI/Y7M881QDnwXWDD+o1mkksf/7r4GlQClwTWyNFPAHzNfIcL4DrJRSTgJWxn7/pBMB7pZSlgJzga/GXkNqrc5yzlpDK6V8VUoZif26CciNPb4ceFZKGZRS7gP2ALPPxBzHAlLKWill3ShDap1GMhvYI6Wsl1KGgGcx1+gTj5RyDdB51OHLgSdij58A/ukfOqkxiJSyVUr5XuxxH1AL5KDW6qznrDW0R/EF4OXY4xygcdhYU+yYYiRqnUai1uOjkSGlbI09PghknMnJjDWEEAXAdGAzaq3OeixnegIngxDidSBzlKF7pZQvxs65FzNk8/Q/cm5jiRNZJ4XidCGllEIIVUcYQwjhAf4M3Cml7BVCxMfUWp2dfKwNrZTy/A8aF0LcBFwKLJFHCoabgbxhp+XGjp21fNg6HYdP3Dp9CGo9PhqHhBBZUspWIUQWcPhMT2gsIISwYhrZp6WUf4kdVmt1lnPWho6FEBcB3wYuk1IODBt6CbhaCGEXQowHJgFvnYk5jnHUOo3kbWCSEGK8EMKGmSj20hme01jmJeDzscefBz7xkRNhuq6/BWqllA8NG1JrdZZz1naGEkLsAexAR+zQJinl7bGxezH3bSOY4ZuXR7/K2Y8Q4jPAL4E0oBt4X0p5YWxMrdMwhBAXA48AOvA7KeWPzvCUxgRCiD8C52HKvR0C/n/gb8DzQD6m9OWVUsqjE6Y+UQghFgBrge2AETv8Pcx9WrVWZzFnraFVKBQKhWIscNaGjhUKhUKhGAsoQ6tQKBQKxWlEGVqFQqFQKE4jytAqFAqFQnEaUYZWoVAoFIrTiDK0CoVCoVCcRpShVSgUCoXiNPL/AL0mjtg7rMAkAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "-------------------------------------------\n",
            "Loss at epoch                 30: 0.005216\n",
            "Training accuracy at epoch    30: 88.1100 %\n",
            "Validation accuracy at epoch  30: 81.6000 %\n",
            "-------------------------------------------\n",
            "Loss at epoch                 31: 0.005150\n",
            "Training accuracy at epoch    31: 88.2325 %\n",
            "Validation accuracy at epoch  31: 82.1400 %\n",
            "-------------------------------------------\n",
            "Terminated training for early stopping at epoch 31\n",
            "Final epoch for best model: 26\n",
            "Final training accuracy: 87.2100 %\n",
            "Final validation accuracy: 82.1400 %\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qZ4ZB3o5Rk6_",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "13c96ef7-3a82-499e-98bf-a6127a74e74f"
      },
      "source": [
        "# reloads best model\n",
        "network = CNN()\n",
        "network.to(device)\n",
        "network.load_state_dict(torch.load(PATH))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<All keys matched successfully>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5M9VBd-mv5lt",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "66d09677-4181-482d-bcf2-84c6c39cc8b7"
      },
      "source": [
        "correct = 0\n",
        "total = 0\n",
        "with torch.no_grad():\n",
        "    for inputs, labels in testloader:\n",
        "        inputs, labels = inputs.to(device), labels.to(device)\n",
        "        outputs = network(inputs)\n",
        "        _, predicted = torch.max(outputs.data, 1)\n",
        "        total += labels.size(0)\n",
        "        correct += (predicted == labels).sum().item()\n",
        "print('Test accuracy: %.4f %%' % (100*correct/total))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Test accuracy: 81.5600 %\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "48i-_xMuwam7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "4c00f009-398e-4b58-e7e5-d20db9dc452b"
      },
      "source": [
        "# plots costs over epochs\n",
        "plt.plot(range(1, stop['best_epoch']+2), losses[:stop['best_epoch']+1])\n",
        "plt.title('Cost per epoch')\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Cost')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UMEg__pkJizB",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "fdcfc04d-f288-49cb-dd20-988adfbe41f9"
      },
      "source": [
        "# plots training and validation errors over epochs\n",
        "plt.plot(range(1, stop['best_epoch']+2), [1-x/100 for x in train_acc[:stop['best_epoch']+1]], label='Training')\n",
        "plt.plot(range(1, stop['best_epoch']+2), [1-x/100 for x in val_acc[:stop['best_epoch']+1]], label='Validation')\n",
        "plt.title('Error per epoch')\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Error')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}