{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "yTQ_7XYdYaxB"
   },
   "source": [
    "# Motion Capture Data Analysis - NM17"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "qByp7OonY3mV"
   },
   "source": [
    "## Libraries\n",
    "Installing and importing libraries for data processing, sound analysis and visualization. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 241
    },
    "colab_type": "code",
    "collapsed": true,
    "id": "3Y5EniIkf5Fb",
    "outputId": "3dc26124-a03b-4887-a961-2b3106bcb272"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: librosa in ./anaconda/lib/python3.6/site-packages (0.7.2)\n",
      "Requirement already satisfied: decorator>=3.0.0 in ./anaconda/lib/python3.6/site-packages (from librosa) (4.0.11)\n",
      "Requirement already satisfied: resampy>=0.2.2 in ./anaconda/lib/python3.6/site-packages (from librosa) (0.2.2)\n",
      "Requirement already satisfied: audioread>=2.0.0 in ./anaconda/lib/python3.6/site-packages (from librosa) (2.1.8)\n",
      "Requirement already satisfied: six>=1.3 in ./anaconda/lib/python3.6/site-packages (from librosa) (1.10.0)\n",
      "Requirement already satisfied: joblib>=0.12 in ./anaconda/lib/python3.6/site-packages (from librosa) (0.15.1)\n",
      "Requirement already satisfied: numpy>=1.15.0 in ./anaconda/lib/python3.6/site-packages (from librosa) (1.16.4)\n",
      "Requirement already satisfied: scipy>=1.0.0 in ./anaconda/lib/python3.6/site-packages (from librosa) (1.5.0)\n",
      "Requirement already satisfied: numba>=0.43.0 in ./anaconda/lib/python3.6/site-packages (from librosa) (0.49.1)\n",
      "Requirement already satisfied: scikit-learn!=0.19.0,>=0.14.0 in ./anaconda/lib/python3.6/site-packages (from librosa) (0.18.1)\n",
      "Requirement already satisfied: soundfile>=0.9.0 in ./anaconda/lib/python3.6/site-packages (from librosa) (0.10.3.post1)\n",
      "Requirement already satisfied: llvmlite<=0.33.0.dev0,>=0.31.0.dev0 in ./anaconda/lib/python3.6/site-packages (from numba>=0.43.0->librosa) (0.31.0)\n",
      "Requirement already satisfied: setuptools in ./anaconda/lib/python3.6/site-packages (from numba>=0.43.0->librosa) (34.2.0)\n",
      "Requirement already satisfied: cffi>=1.0 in ./anaconda/lib/python3.6/site-packages (from soundfile>=0.9.0->librosa) (1.9.1)\n",
      "Requirement already satisfied: packaging>=16.8 in ./anaconda/lib/python3.6/site-packages (from setuptools->numba>=0.43.0->librosa) (16.8)\n",
      "Requirement already satisfied: appdirs>=1.4.0 in ./anaconda/lib/python3.6/site-packages (from setuptools->numba>=0.43.0->librosa) (1.4.0)\n",
      "Requirement already satisfied: pycparser in ./anaconda/lib/python3.6/site-packages (from cffi>=1.0->soundfile>=0.9.0->librosa) (2.17)\n",
      "Requirement already satisfied: pyparsing in ./anaconda/lib/python3.6/site-packages (from packaging>=16.8->setuptools->numba>=0.43.0->librosa) (2.1.10)\n",
      "\u001b[33mYou are using pip version 19.0.1, however version 20.2b1 is available.\n",
      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "# Install a pip package in the current Jupyter kernel\n",
    "import sys\n",
    "!{sys.executable} -m pip install librosa #Sound analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 258
    },
    "colab_type": "code",
    "collapsed": true,
    "id": "BAT-dJunf7Q5",
    "outputId": "9917e6c8-c972-4fdb-db08-55fc374136c9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: chart_studio in ./anaconda/lib/python3.6/site-packages (1.1.0)\n",
      "Requirement already satisfied: retrying>=1.3.3 in ./anaconda/lib/python3.6/site-packages (from chart_studio) (1.3.3)\n",
      "Requirement already satisfied: requests in ./anaconda/lib/python3.6/site-packages (from chart_studio) (2.12.4)\n",
      "Requirement already satisfied: six in ./anaconda/lib/python3.6/site-packages (from chart_studio) (1.10.0)\n",
      "Requirement already satisfied: plotly in ./anaconda/lib/python3.6/site-packages (from chart_studio) (4.2.1)\n",
      "\u001b[33mYou are using pip version 19.0.1, however version 20.2b1 is available.\n",
      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!{sys.executable} -m pip install chart_studio  #Librosa plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting numba==0.49.1\n",
      "  Using cached https://files.pythonhosted.org/packages/ac/7d/e01bcbf4a35cbb07ce04aaa545030bde231331aaabe7c44726b099f8fd86/numba-0.49.1-cp36-cp36m-macosx_10_14_x86_64.whl\n",
      "Requirement already satisfied: numpy>=1.15 in ./anaconda/lib/python3.6/site-packages (from numba==0.49.1) (1.16.4)\n",
      "Requirement already satisfied: setuptools in ./anaconda/lib/python3.6/site-packages (from numba==0.49.1) (34.2.0)\n",
      "Requirement already satisfied: llvmlite<=0.33.0.dev0,>=0.31.0.dev0 in ./anaconda/lib/python3.6/site-packages (from numba==0.49.1) (0.31.0)\n",
      "Requirement already satisfied: six>=1.6.0 in ./anaconda/lib/python3.6/site-packages (from setuptools->numba==0.49.1) (1.10.0)\n",
      "Requirement already satisfied: packaging>=16.8 in ./anaconda/lib/python3.6/site-packages (from setuptools->numba==0.49.1) (16.8)\n",
      "Requirement already satisfied: appdirs>=1.4.0 in ./anaconda/lib/python3.6/site-packages (from setuptools->numba==0.49.1) (1.4.0)\n",
      "Requirement already satisfied: pyparsing in ./anaconda/lib/python3.6/site-packages (from packaging>=16.8->setuptools->numba==0.49.1) (2.1.10)\n",
      "Installing collected packages: numba\n",
      "  Found existing installation: numba 0.48.0\n",
      "    Uninstalling numba-0.48.0:\n",
      "      Successfully uninstalled numba-0.48.0\n",
      "Successfully installed numba-0.49.1\n",
      "\u001b[33mYou are using pip version 19.0.1, however version 20.2b1 is available.\n",
      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!{sys.executable} -m pip install numba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 139
    },
    "colab_type": "code",
    "collapsed": true,
    "id": "iLSXEKDeY_I6",
    "outputId": "c410ff86-9140-486e-aa70-1383081e2e01"
   },
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "cannot import name 'cached_property'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-255-81894ef7c171>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mlibrosa\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mlibrosa\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdisplay\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/vesanche/anaconda/lib/python3.6/site-packages/librosa/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;31m# And all the librosa sub-modules\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0m_cache\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcache\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcore\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mbeat\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mdecompose\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/vesanche/anaconda/lib/python3.6/site-packages/librosa/core/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m    123\u001b[0m \"\"\"\n\u001b[1;32m    124\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 125\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mtime_frequency\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m  \u001b[0;31m# pylint: disable=wildcard-import\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    126\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0maudio\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m  \u001b[0;31m# pylint: disable=wildcard-import\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    127\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mspectrum\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m  \u001b[0;31m# pylint: disable=wildcard-import\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/vesanche/anaconda/lib/python3.6/site-packages/librosa/core/time_frequency.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mParameterError\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdeprecation\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mDeprecated\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m __all__ = ['frames_to_samples', 'frames_to_time',\n",
      "\u001b[0;32m/Users/vesanche/anaconda/lib/python3.6/site-packages/librosa/util/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     75\u001b[0m \"\"\"\n\u001b[1;32m     76\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 77\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mutils\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m  \u001b[0;31m# pylint: disable=wildcard-import\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     78\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mfiles\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m  \u001b[0;31m# pylint: disable=wildcard-import\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     79\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mmatching\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m  \u001b[0;31m# pylint: disable=wildcard-import\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/vesanche/anaconda/lib/python3.6/site-packages/librosa/util/utils.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_cache\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcache\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mParameterError\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mdecorators\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mdeprecated\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     16\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m \u001b[0;31m# Constrain STFT block sizes to 256 KB\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/vesanche/anaconda/lib/python3.6/site-packages/librosa/util/decorators.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mdecorator\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mdecorator\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0msix\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mnumba\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecorators\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mjit\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0moptional_jit\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0m__all__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'moved'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'deprecated'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'optional_jit'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/vesanche/anaconda/lib/python3.6/site-packages/numba/core/decorators.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mlogging\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mnumba\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merrors\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mDeprecationError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNumbaDeprecationWarning\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mnumba\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstencils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstencil\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mstencil\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mnumba\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcore\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msigutils\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mregistry\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/vesanche/anaconda/lib/python3.6/site-packages/numba/core/errors.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mcollections\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mdefaultdict\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 14\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mnumba\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mutils\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0madd_metaclass\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreraise\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mchain_exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     15\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mfunctools\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mwraps\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     16\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mabc\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mabstractmethod\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/vesanche/anaconda/lib/python3.6/site-packages/numba/core/utils.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     23\u001b[0m from numba.core.config import (PYVERSION, MACHINE_BITS, # noqa: F401\n\u001b[1;32m     24\u001b[0m                                DEVELOPER_MODE) # noqa: F401\n\u001b[0;32m---> 25\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mnumba\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcore\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mtypes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     26\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     27\u001b[0m \u001b[0mINT_TYPES\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/vesanche/anaconda/lib/python3.6/site-packages/numba/core/types/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mnumba\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcore\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mutils\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mabstract\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mcontainers\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mfunctions\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/vesanche/anaconda/lib/python3.6/site-packages/numba/core/types/abstract.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mnumba\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mutils\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcached_property\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0madd_metaclass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;31m# Types are added to a global registry (_typecache) in order to assign\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mImportError\u001b[0m: cannot import name 'cached_property'"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import librosa\n",
    "import librosa.display\n",
    "import matplotlib\n",
    "import random\n",
    "%matplotlib inline\n",
    "import csv\n",
    "import glob\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "import math\n",
    "import sys\n",
    "import pylab\n",
    "import numpy.linalg\n",
    "import chart_studio\n",
    "\n",
    "%load_ext rpy2.ipython\n",
    "\n",
    "#r packages\n",
    "from rpy2.robjects import r\n",
    "from rpy2.robjects.packages import importr\n",
    "from rpy2.robjects import FloatVector\n",
    "stats = importr('stats')\n",
    "base = importr('base')\n",
    "\n",
    "from scipy import stats\n",
    "import seaborn\n",
    "from IPython.display import display, Markdown\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "suCUp5fPZewK"
   },
   "source": [
    "## Reading Motion Capture Data into Pandas Dataframes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "cOJnmRGGYQ-P"
   },
   "outputs": [],
   "source": [
    "#Reading QTOM generated tsv files (one for each group of participants) from local drive\n",
    "\n",
    "nm17raw = {}\n",
    "\n",
    "path = r'/Users/vesanche/Desktop/NM17_ex1/2020exports/' # use your path for the folder containing mocap files\n",
    "nm_files = sorted(glob.glob(os.path.join(path, \"*.tsv\")))\n",
    "\n",
    "i=1\n",
    "\n",
    "for filename in nm_files:\n",
    "    nm17raw[i] = pd.read_csv(filename, delimiter='\\t', encoding='utf-8', skiprows=10, low_memory=False)\n",
    "    nm17raw[i].drop(nm17raw[i].columns[len(nm17raw[i].columns)-10:len(nm17raw[i].columns)], axis=1, inplace=True)\n",
    "    #nm17raw[i].drop(nm17raw[i].iloc[:, 0:6],  axis = 1, inplace = True)\n",
    "    i = i+1\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "collapsed": true,
    "id": "yWMIbGWIY1CW"
   },
   "outputs": [
    {
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>798.355</td>\n",
       "      <td>1614.595</td>\n",
       "      <td>1740.940</td>\n",
       "      <td>725.281</td>\n",
       "      <td>-176.369</td>\n",
       "      <td>1544.383</td>\n",
       "      <td>-679.113</td>\n",
       "      <td>1016.888</td>\n",
       "      <td>1845.888</td>\n",
       "      <td>-677.280</td>\n",
       "      <td>167.352</td>\n",
       "      <td>1568.789</td>\n",
       "      <td>-663.426</td>\n",
       "      <td>-644.679</td>\n",
       "      <td>1671.558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>798.475</td>\n",
       "      <td>1614.556</td>\n",
       "      <td>1740.929</td>\n",
       "      <td>725.296</td>\n",
       "      <td>-176.358</td>\n",
       "      <td>1544.399</td>\n",
       "      <td>-679.158</td>\n",
       "      <td>1016.907</td>\n",
       "      <td>1845.906</td>\n",
       "      <td>-677.376</td>\n",
       "      <td>167.369</td>\n",
       "      <td>1568.843</td>\n",
       "      <td>-663.396</td>\n",
       "      <td>-644.687</td>\n",
       "      <td>1671.569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>798.582</td>\n",
       "      <td>1614.517</td>\n",
       "      <td>1740.912</td>\n",
       "      <td>725.320</td>\n",
       "      <td>-176.367</td>\n",
       "      <td>1544.380</td>\n",
       "      <td>-679.169</td>\n",
       "      <td>1016.865</td>\n",
       "      <td>1845.880</td>\n",
       "      <td>-677.428</td>\n",
       "      <td>167.364</td>\n",
       "      <td>1568.841</td>\n",
       "      <td>-663.349</td>\n",
       "      <td>-644.700</td>\n",
       "      <td>1671.545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>798.689</td>\n",
       "      <td>1614.489</td>\n",
       "      <td>1740.917</td>\n",
       "      <td>725.332</td>\n",
       "      <td>-176.357</td>\n",
       "      <td>1544.368</td>\n",
       "      <td>-679.209</td>\n",
       "      <td>1016.869</td>\n",
       "      <td>1845.882</td>\n",
       "      <td>-677.474</td>\n",
       "      <td>167.364</td>\n",
       "      <td>1568.891</td>\n",
       "      <td>-663.332</td>\n",
       "      <td>-644.727</td>\n",
       "      <td>1671.534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>798.789</td>\n",
       "      <td>1614.458</td>\n",
       "      <td>1740.912</td>\n",
       "      <td>725.360</td>\n",
       "      <td>-176.353</td>\n",
       "      <td>1544.389</td>\n",
       "      <td>-679.245</td>\n",
       "      <td>1016.870</td>\n",
       "      <td>1845.867</td>\n",
       "      <td>-677.528</td>\n",
       "      <td>167.366</td>\n",
       "      <td>1568.891</td>\n",
       "      <td>-663.292</td>\n",
       "      <td>-644.749</td>\n",
       "      <td>1671.539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>798.884</td>\n",
       "      <td>1614.441</td>\n",
       "      <td>1740.916</td>\n",
       "      <td>725.383</td>\n",
       "      <td>-176.345</td>\n",
       "      <td>1544.374</td>\n",
       "      <td>-679.299</td>\n",
       "      <td>1016.897</td>\n",
       "      <td>1845.874</td>\n",
       "      <td>-677.567</td>\n",
       "      <td>167.356</td>\n",
       "      <td>1568.899</td>\n",
       "      <td>-663.256</td>\n",
       "      <td>-644.752</td>\n",
       "      <td>1671.534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>799.145</td>\n",
       "      <td>1614.531</td>\n",
       "      <td>1740.968</td>\n",
       "      <td>725.397</td>\n",
       "      <td>-176.357</td>\n",
       "      <td>1544.376</td>\n",
       "      <td>-679.309</td>\n",
       "      <td>1016.858</td>\n",
       "      <td>1845.866</td>\n",
       "      <td>-677.600</td>\n",
       "      <td>167.353</td>\n",
       "      <td>1568.895</td>\n",
       "      <td>-663.216</td>\n",
       "      <td>-644.779</td>\n",
       "      <td>1671.524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>799.246</td>\n",
       "      <td>1614.534</td>\n",
       "      <td>1740.973</td>\n",
       "      <td>725.435</td>\n",
       "      <td>-176.331</td>\n",
       "      <td>1544.380</td>\n",
       "      <td>-679.380</td>\n",
       "      <td>1016.901</td>\n",
       "      <td>1845.871</td>\n",
       "      <td>-677.634</td>\n",
       "      <td>167.343</td>\n",
       "      <td>1568.916</td>\n",
       "      <td>-663.196</td>\n",
       "      <td>-644.817</td>\n",
       "      <td>1671.520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>799.348</td>\n",
       "      <td>1614.532</td>\n",
       "      <td>1740.969</td>\n",
       "      <td>725.463</td>\n",
       "      <td>-176.332</td>\n",
       "      <td>1544.381</td>\n",
       "      <td>-679.390</td>\n",
       "      <td>1016.867</td>\n",
       "      <td>1845.878</td>\n",
       "      <td>-677.674</td>\n",
       "      <td>167.334</td>\n",
       "      <td>1568.925</td>\n",
       "      <td>-663.169</td>\n",
       "      <td>-644.835</td>\n",
       "      <td>1671.506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>799.446</td>\n",
       "      <td>1614.527</td>\n",
       "      <td>1740.965</td>\n",
       "      <td>725.461</td>\n",
       "      <td>-176.339</td>\n",
       "      <td>1544.368</td>\n",
       "      <td>-679.419</td>\n",
       "      <td>1016.872</td>\n",
       "      <td>1845.852</td>\n",
       "      <td>-677.708</td>\n",
       "      <td>167.328</td>\n",
       "      <td>1568.925</td>\n",
       "      <td>-663.155</td>\n",
       "      <td>-644.876</td>\n",
       "      <td>1671.521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>799.552</td>\n",
       "      <td>1614.543</td>\n",
       "      <td>1740.978</td>\n",
       "      <td>725.499</td>\n",
       "      <td>-176.315</td>\n",
       "      <td>1544.387</td>\n",
       "      <td>-679.469</td>\n",
       "      <td>1016.890</td>\n",
       "      <td>1845.852</td>\n",
       "      <td>-677.739</td>\n",
       "      <td>167.328</td>\n",
       "      <td>1568.942</td>\n",
       "      <td>-663.132</td>\n",
       "      <td>-644.899</td>\n",
       "      <td>1671.520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>799.592</td>\n",
       "      <td>1614.495</td>\n",
       "      <td>1740.948</td>\n",
       "      <td>725.528</td>\n",
       "      <td>-176.333</td>\n",
       "      <td>1544.384</td>\n",
       "      <td>-679.507</td>\n",
       "      <td>1016.892</td>\n",
       "      <td>1845.847</td>\n",
       "      <td>-677.751</td>\n",
       "      <td>167.315</td>\n",
       "      <td>1568.943</td>\n",
       "      <td>-663.086</td>\n",
       "      <td>-644.918</td>\n",
       "      <td>1671.511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>799.694</td>\n",
       "      <td>1614.518</td>\n",
       "      <td>1740.965</td>\n",
       "      <td>725.540</td>\n",
       "      <td>-176.344</td>\n",
       "      <td>1544.391</td>\n",
       "      <td>-679.561</td>\n",
       "      <td>1016.936</td>\n",
       "      <td>1845.872</td>\n",
       "      <td>-677.770</td>\n",
       "      <td>167.314</td>\n",
       "      <td>1568.948</td>\n",
       "      <td>-663.077</td>\n",
       "      <td>-644.975</td>\n",
       "      <td>1671.530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>799.776</td>\n",
       "      <td>1614.520</td>\n",
       "      <td>1740.967</td>\n",
       "      <td>725.578</td>\n",
       "      <td>-176.305</td>\n",
       "      <td>1544.394</td>\n",
       "      <td>-679.588</td>\n",
       "      <td>1016.900</td>\n",
       "      <td>1845.846</td>\n",
       "      <td>-677.798</td>\n",
       "      <td>167.305</td>\n",
       "      <td>1568.948</td>\n",
       "      <td>-663.046</td>\n",
       "      <td>-644.979</td>\n",
       "      <td>1671.518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>799.852</td>\n",
       "      <td>1614.524</td>\n",
       "      <td>1740.954</td>\n",
       "      <td>725.583</td>\n",
       "      <td>-176.292</td>\n",
       "      <td>1544.379</td>\n",
       "      <td>-679.639</td>\n",
       "      <td>1016.904</td>\n",
       "      <td>1845.855</td>\n",
       "      <td>-677.825</td>\n",
       "      <td>167.306</td>\n",
       "      <td>1568.958</td>\n",
       "      <td>-663.031</td>\n",
       "      <td>-645.013</td>\n",
       "      <td>1671.499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>799.895</td>\n",
       "      <td>1614.508</td>\n",
       "      <td>1740.958</td>\n",
       "      <td>725.607</td>\n",
       "      <td>-176.313</td>\n",
       "      <td>1544.389</td>\n",
       "      <td>-679.667</td>\n",
       "      <td>1016.910</td>\n",
       "      <td>1845.856</td>\n",
       "      <td>-677.844</td>\n",
       "      <td>167.284</td>\n",
       "      <td>1568.950</td>\n",
       "      <td>-663.020</td>\n",
       "      <td>-645.065</td>\n",
       "      <td>1671.510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>799.989</td>\n",
       "      <td>1614.516</td>\n",
       "      <td>1740.968</td>\n",
       "      <td>725.617</td>\n",
       "      <td>-176.345</td>\n",
       "      <td>1544.385</td>\n",
       "      <td>-679.718</td>\n",
       "      <td>1016.928</td>\n",
       "      <td>1845.860</td>\n",
       "      <td>-677.870</td>\n",
       "      <td>167.281</td>\n",
       "      <td>1568.957</td>\n",
       "      <td>-663.000</td>\n",
       "      <td>-645.103</td>\n",
       "      <td>1671.513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>800.026</td>\n",
       "      <td>1614.506</td>\n",
       "      <td>1740.936</td>\n",
       "      <td>725.640</td>\n",
       "      <td>-176.331</td>\n",
       "      <td>1544.371</td>\n",
       "      <td>-679.766</td>\n",
       "      <td>1016.926</td>\n",
       "      <td>1845.861</td>\n",
       "      <td>-677.878</td>\n",
       "      <td>167.266</td>\n",
       "      <td>1568.949</td>\n",
       "      <td>-662.988</td>\n",
       "      <td>-645.118</td>\n",
       "      <td>1671.493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>800.075</td>\n",
       "      <td>1614.502</td>\n",
       "      <td>1740.945</td>\n",
       "      <td>725.667</td>\n",
       "      <td>-176.311</td>\n",
       "      <td>1544.388</td>\n",
       "      <td>-679.795</td>\n",
       "      <td>1016.921</td>\n",
       "      <td>1845.848</td>\n",
       "      <td>-677.895</td>\n",
       "      <td>167.274</td>\n",
       "      <td>1568.944</td>\n",
       "      <td>-662.957</td>\n",
       "      <td>-645.130</td>\n",
       "      <td>1671.487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>800.123</td>\n",
       "      <td>1614.488</td>\n",
       "      <td>1740.916</td>\n",
       "      <td>725.694</td>\n",
       "      <td>-176.328</td>\n",
       "      <td>1544.393</td>\n",
       "      <td>-679.849</td>\n",
       "      <td>1016.925</td>\n",
       "      <td>1845.849</td>\n",
       "      <td>-677.904</td>\n",
       "      <td>167.259</td>\n",
       "      <td>1568.963</td>\n",
       "      <td>-662.944</td>\n",
       "      <td>-645.177</td>\n",
       "      <td>1671.500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71970</th>\n",
       "      <td>790.218</td>\n",
       "      <td>1623.962</td>\n",
       "      <td>1741.614</td>\n",
       "      <td>753.584</td>\n",
       "      <td>-181.143</td>\n",
       "      <td>1540.622</td>\n",
       "      <td>-677.664</td>\n",
       "      <td>1004.199</td>\n",
       "      <td>1843.820</td>\n",
       "      <td>-663.507</td>\n",
       "      <td>182.764</td>\n",
       "      <td>1571.793</td>\n",
       "      <td>-651.571</td>\n",
       "      <td>-638.281</td>\n",
       "      <td>1669.052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71971</th>\n",
       "      <td>790.236</td>\n",
       "      <td>1623.955</td>\n",
       "      <td>1741.633</td>\n",
       "      <td>753.572</td>\n",
       "      <td>-181.178</td>\n",
       "      <td>1540.616</td>\n",
       "      <td>-677.670</td>\n",
       "      <td>1004.199</td>\n",
       "      <td>1843.844</td>\n",
       "      <td>-663.541</td>\n",
       "      <td>182.781</td>\n",
       "      <td>1571.787</td>\n",
       "      <td>-651.545</td>\n",
       "      <td>-638.268</td>\n",
       "      <td>1669.063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71972</th>\n",
       "      <td>790.258</td>\n",
       "      <td>1623.948</td>\n",
       "      <td>1741.618</td>\n",
       "      <td>753.589</td>\n",
       "      <td>-181.133</td>\n",
       "      <td>1540.633</td>\n",
       "      <td>-677.646</td>\n",
       "      <td>1004.177</td>\n",
       "      <td>1843.834</td>\n",
       "      <td>-663.592</td>\n",
       "      <td>182.781</td>\n",
       "      <td>1571.791</td>\n",
       "      <td>-651.541</td>\n",
       "      <td>-638.271</td>\n",
       "      <td>1669.054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71973</th>\n",
       "      <td>790.248</td>\n",
       "      <td>1623.936</td>\n",
       "      <td>1741.607</td>\n",
       "      <td>753.576</td>\n",
       "      <td>-181.116</td>\n",
       "      <td>1540.627</td>\n",
       "      <td>-677.676</td>\n",
       "      <td>1004.213</td>\n",
       "      <td>1843.846</td>\n",
       "      <td>-663.638</td>\n",
       "      <td>182.797</td>\n",
       "      <td>1571.781</td>\n",
       "      <td>-651.530</td>\n",
       "      <td>-638.261</td>\n",
       "      <td>1669.048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71974</th>\n",
       "      <td>790.272</td>\n",
       "      <td>1623.945</td>\n",
       "      <td>1741.617</td>\n",
       "      <td>753.570</td>\n",
       "      <td>-181.111</td>\n",
       "      <td>1540.648</td>\n",
       "      <td>-677.677</td>\n",
       "      <td>1004.220</td>\n",
       "      <td>1843.857</td>\n",
       "      <td>-663.688</td>\n",
       "      <td>182.794</td>\n",
       "      <td>1571.776</td>\n",
       "      <td>-651.516</td>\n",
       "      <td>-638.288</td>\n",
       "      <td>1669.067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71975</th>\n",
       "      <td>790.271</td>\n",
       "      <td>1623.929</td>\n",
       "      <td>1741.615</td>\n",
       "      <td>753.560</td>\n",
       "      <td>-181.110</td>\n",
       "      <td>1540.641</td>\n",
       "      <td>-677.671</td>\n",
       "      <td>1004.214</td>\n",
       "      <td>1843.817</td>\n",
       "      <td>-663.714</td>\n",
       "      <td>182.802</td>\n",
       "      <td>1571.776</td>\n",
       "      <td>-651.496</td>\n",
       "      <td>-638.297</td>\n",
       "      <td>1669.045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71976</th>\n",
       "      <td>790.286</td>\n",
       "      <td>1623.943</td>\n",
       "      <td>1741.619</td>\n",
       "      <td>753.574</td>\n",
       "      <td>-181.119</td>\n",
       "      <td>1540.615</td>\n",
       "      <td>-677.671</td>\n",
       "      <td>1004.220</td>\n",
       "      <td>1843.828</td>\n",
       "      <td>-663.743</td>\n",
       "      <td>182.817</td>\n",
       "      <td>1571.762</td>\n",
       "      <td>-651.459</td>\n",
       "      <td>-638.277</td>\n",
       "      <td>1669.047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71977</th>\n",
       "      <td>790.300</td>\n",
       "      <td>1623.926</td>\n",
       "      <td>1741.612</td>\n",
       "      <td>753.534</td>\n",
       "      <td>-181.118</td>\n",
       "      <td>1540.585</td>\n",
       "      <td>-677.671</td>\n",
       "      <td>1004.220</td>\n",
       "      <td>1843.828</td>\n",
       "      <td>-663.806</td>\n",
       "      <td>182.828</td>\n",
       "      <td>1571.766</td>\n",
       "      <td>-651.433</td>\n",
       "      <td>-638.280</td>\n",
       "      <td>1669.037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71978</th>\n",
       "      <td>790.319</td>\n",
       "      <td>1623.944</td>\n",
       "      <td>1741.607</td>\n",
       "      <td>753.525</td>\n",
       "      <td>-181.133</td>\n",
       "      <td>1540.599</td>\n",
       "      <td>-677.656</td>\n",
       "      <td>1004.195</td>\n",
       "      <td>1843.814</td>\n",
       "      <td>-663.852</td>\n",
       "      <td>182.851</td>\n",
       "      <td>1571.752</td>\n",
       "      <td>-651.432</td>\n",
       "      <td>-638.296</td>\n",
       "      <td>1669.052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71979</th>\n",
       "      <td>790.341</td>\n",
       "      <td>1623.939</td>\n",
       "      <td>1741.608</td>\n",
       "      <td>753.544</td>\n",
       "      <td>-181.097</td>\n",
       "      <td>1540.599</td>\n",
       "      <td>-677.652</td>\n",
       "      <td>1004.189</td>\n",
       "      <td>1843.807</td>\n",
       "      <td>-663.886</td>\n",
       "      <td>182.862</td>\n",
       "      <td>1571.752</td>\n",
       "      <td>-651.389</td>\n",
       "      <td>-638.302</td>\n",
       "      <td>1669.025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71980</th>\n",
       "      <td>790.338</td>\n",
       "      <td>1623.933</td>\n",
       "      <td>1741.600</td>\n",
       "      <td>753.545</td>\n",
       "      <td>-181.096</td>\n",
       "      <td>1540.608</td>\n",
       "      <td>-677.674</td>\n",
       "      <td>1004.217</td>\n",
       "      <td>1843.838</td>\n",
       "      <td>-663.921</td>\n",
       "      <td>182.877</td>\n",
       "      <td>1571.739</td>\n",
       "      <td>-651.380</td>\n",
       "      <td>-638.293</td>\n",
       "      <td>1669.013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71981</th>\n",
       "      <td>790.383</td>\n",
       "      <td>1623.953</td>\n",
       "      <td>1741.608</td>\n",
       "      <td>753.531</td>\n",
       "      <td>-181.097</td>\n",
       "      <td>1540.605</td>\n",
       "      <td>-677.700</td>\n",
       "      <td>1004.220</td>\n",
       "      <td>1843.839</td>\n",
       "      <td>-663.982</td>\n",
       "      <td>182.887</td>\n",
       "      <td>1571.765</td>\n",
       "      <td>-651.355</td>\n",
       "      <td>-638.283</td>\n",
       "      <td>1669.025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71982</th>\n",
       "      <td>790.375</td>\n",
       "      <td>1623.950</td>\n",
       "      <td>1741.609</td>\n",
       "      <td>753.543</td>\n",
       "      <td>-181.070</td>\n",
       "      <td>1540.596</td>\n",
       "      <td>-677.691</td>\n",
       "      <td>1004.256</td>\n",
       "      <td>1843.871</td>\n",
       "      <td>-664.023</td>\n",
       "      <td>182.920</td>\n",
       "      <td>1571.762</td>\n",
       "      <td>-651.337</td>\n",
       "      <td>-638.287</td>\n",
       "      <td>1669.027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71983</th>\n",
       "      <td>790.460</td>\n",
       "      <td>1624.000</td>\n",
       "      <td>1741.650</td>\n",
       "      <td>753.537</td>\n",
       "      <td>-181.077</td>\n",
       "      <td>1540.599</td>\n",
       "      <td>-677.714</td>\n",
       "      <td>1004.271</td>\n",
       "      <td>1843.875</td>\n",
       "      <td>-664.062</td>\n",
       "      <td>182.944</td>\n",
       "      <td>1571.783</td>\n",
       "      <td>-651.299</td>\n",
       "      <td>-638.269</td>\n",
       "      <td>1669.024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71984</th>\n",
       "      <td>790.444</td>\n",
       "      <td>1623.959</td>\n",
       "      <td>1741.617</td>\n",
       "      <td>753.542</td>\n",
       "      <td>-181.045</td>\n",
       "      <td>1540.611</td>\n",
       "      <td>-677.739</td>\n",
       "      <td>1004.267</td>\n",
       "      <td>1843.864</td>\n",
       "      <td>-664.088</td>\n",
       "      <td>182.964</td>\n",
       "      <td>1571.775</td>\n",
       "      <td>-651.278</td>\n",
       "      <td>-638.272</td>\n",
       "      <td>1669.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71985</th>\n",
       "      <td>790.482</td>\n",
       "      <td>1623.979</td>\n",
       "      <td>1741.645</td>\n",
       "      <td>753.551</td>\n",
       "      <td>-181.070</td>\n",
       "      <td>1540.622</td>\n",
       "      <td>-677.722</td>\n",
       "      <td>1004.255</td>\n",
       "      <td>1843.877</td>\n",
       "      <td>-664.122</td>\n",
       "      <td>182.974</td>\n",
       "      <td>1571.771</td>\n",
       "      <td>-651.257</td>\n",
       "      <td>-638.234</td>\n",
       "      <td>1669.036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71986</th>\n",
       "      <td>790.514</td>\n",
       "      <td>1623.972</td>\n",
       "      <td>1741.644</td>\n",
       "      <td>753.550</td>\n",
       "      <td>-181.035</td>\n",
       "      <td>1540.624</td>\n",
       "      <td>-677.749</td>\n",
       "      <td>1004.274</td>\n",
       "      <td>1843.897</td>\n",
       "      <td>-664.166</td>\n",
       "      <td>182.989</td>\n",
       "      <td>1571.795</td>\n",
       "      <td>-651.213</td>\n",
       "      <td>-638.231</td>\n",
       "      <td>1669.033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71987</th>\n",
       "      <td>790.520</td>\n",
       "      <td>1623.958</td>\n",
       "      <td>1741.635</td>\n",
       "      <td>753.563</td>\n",
       "      <td>-181.089</td>\n",
       "      <td>1540.606</td>\n",
       "      <td>-677.768</td>\n",
       "      <td>1004.274</td>\n",
       "      <td>1843.881</td>\n",
       "      <td>-664.191</td>\n",
       "      <td>183.001</td>\n",
       "      <td>1571.797</td>\n",
       "      <td>-651.197</td>\n",
       "      <td>-638.213</td>\n",
       "      <td>1669.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71988</th>\n",
       "      <td>790.510</td>\n",
       "      <td>1623.932</td>\n",
       "      <td>1741.620</td>\n",
       "      <td>753.544</td>\n",
       "      <td>-181.082</td>\n",
       "      <td>1540.615</td>\n",
       "      <td>-677.777</td>\n",
       "      <td>1004.257</td>\n",
       "      <td>1843.888</td>\n",
       "      <td>-664.228</td>\n",
       "      <td>183.004</td>\n",
       "      <td>1571.793</td>\n",
       "      <td>-651.163</td>\n",
       "      <td>-638.185</td>\n",
       "      <td>1669.009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71989</th>\n",
       "      <td>790.545</td>\n",
       "      <td>1623.914</td>\n",
       "      <td>1741.620</td>\n",
       "      <td>753.548</td>\n",
       "      <td>-181.092</td>\n",
       "      <td>1540.605</td>\n",
       "      <td>-677.812</td>\n",
       "      <td>1004.279</td>\n",
       "      <td>1843.864</td>\n",
       "      <td>-664.256</td>\n",
       "      <td>183.025</td>\n",
       "      <td>1571.794</td>\n",
       "      <td>-651.151</td>\n",
       "      <td>-638.169</td>\n",
       "      <td>1669.023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71990</th>\n",
       "      <td>790.561</td>\n",
       "      <td>1623.902</td>\n",
       "      <td>1741.605</td>\n",
       "      <td>753.543</td>\n",
       "      <td>-181.087</td>\n",
       "      <td>1540.596</td>\n",
       "      <td>-677.843</td>\n",
       "      <td>1004.279</td>\n",
       "      <td>1843.865</td>\n",
       "      <td>-664.288</td>\n",
       "      <td>183.026</td>\n",
       "      <td>1571.781</td>\n",
       "      <td>-651.122</td>\n",
       "      <td>-638.139</td>\n",
       "      <td>1669.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71991</th>\n",
       "      <td>790.567</td>\n",
       "      <td>1623.892</td>\n",
       "      <td>1741.603</td>\n",
       "      <td>753.535</td>\n",
       "      <td>-181.092</td>\n",
       "      <td>1540.608</td>\n",
       "      <td>-677.871</td>\n",
       "      <td>1004.310</td>\n",
       "      <td>1843.861</td>\n",
       "      <td>-664.307</td>\n",
       "      <td>183.029</td>\n",
       "      <td>1571.795</td>\n",
       "      <td>-651.103</td>\n",
       "      <td>-638.137</td>\n",
       "      <td>1669.009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71992</th>\n",
       "      <td>790.591</td>\n",
       "      <td>1623.889</td>\n",
       "      <td>1741.588</td>\n",
       "      <td>753.528</td>\n",
       "      <td>-181.119</td>\n",
       "      <td>1540.609</td>\n",
       "      <td>-677.868</td>\n",
       "      <td>1004.274</td>\n",
       "      <td>1843.859</td>\n",
       "      <td>-664.334</td>\n",
       "      <td>183.028</td>\n",
       "      <td>1571.798</td>\n",
       "      <td>-651.067</td>\n",
       "      <td>-638.109</td>\n",
       "      <td>1668.989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71993</th>\n",
       "      <td>790.627</td>\n",
       "      <td>1623.898</td>\n",
       "      <td>1741.602</td>\n",
       "      <td>753.554</td>\n",
       "      <td>-181.084</td>\n",
       "      <td>1540.600</td>\n",
       "      <td>-677.912</td>\n",
       "      <td>1004.308</td>\n",
       "      <td>1843.886</td>\n",
       "      <td>-664.351</td>\n",
       "      <td>183.027</td>\n",
       "      <td>1571.786</td>\n",
       "      <td>-651.027</td>\n",
       "      <td>-638.065</td>\n",
       "      <td>1668.994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71994</th>\n",
       "      <td>790.664</td>\n",
       "      <td>1623.907</td>\n",
       "      <td>1741.606</td>\n",
       "      <td>753.555</td>\n",
       "      <td>-181.122</td>\n",
       "      <td>1540.611</td>\n",
       "      <td>-677.911</td>\n",
       "      <td>1004.279</td>\n",
       "      <td>1843.896</td>\n",
       "      <td>-664.375</td>\n",
       "      <td>183.026</td>\n",
       "      <td>1571.803</td>\n",
       "      <td>-651.006</td>\n",
       "      <td>-638.043</td>\n",
       "      <td>1668.988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71995</th>\n",
       "      <td>790.682</td>\n",
       "      <td>1623.899</td>\n",
       "      <td>1741.609</td>\n",
       "      <td>753.560</td>\n",
       "      <td>-181.116</td>\n",
       "      <td>1540.605</td>\n",
       "      <td>-677.953</td>\n",
       "      <td>1004.286</td>\n",
       "      <td>1843.911</td>\n",
       "      <td>-664.374</td>\n",
       "      <td>183.029</td>\n",
       "      <td>1571.812</td>\n",
       "      <td>-650.980</td>\n",
       "      <td>-638.016</td>\n",
       "      <td>1668.981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71996</th>\n",
       "      <td>790.729</td>\n",
       "      <td>1623.929</td>\n",
       "      <td>1741.618</td>\n",
       "      <td>753.560</td>\n",
       "      <td>-181.124</td>\n",
       "      <td>1540.601</td>\n",
       "      <td>-677.965</td>\n",
       "      <td>1004.275</td>\n",
       "      <td>1843.895</td>\n",
       "      <td>-664.383</td>\n",
       "      <td>183.035</td>\n",
       "      <td>1571.816</td>\n",
       "      <td>-650.955</td>\n",
       "      <td>-637.992</td>\n",
       "      <td>1668.981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71997</th>\n",
       "      <td>790.718</td>\n",
       "      <td>1623.902</td>\n",
       "      <td>1741.605</td>\n",
       "      <td>753.568</td>\n",
       "      <td>-181.123</td>\n",
       "      <td>1540.595</td>\n",
       "      <td>-677.999</td>\n",
       "      <td>1004.292</td>\n",
       "      <td>1843.888</td>\n",
       "      <td>-664.397</td>\n",
       "      <td>183.039</td>\n",
       "      <td>1571.825</td>\n",
       "      <td>-650.926</td>\n",
       "      <td>-637.942</td>\n",
       "      <td>1668.981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71998</th>\n",
       "      <td>790.773</td>\n",
       "      <td>1623.942</td>\n",
       "      <td>1741.639</td>\n",
       "      <td>753.581</td>\n",
       "      <td>-181.147</td>\n",
       "      <td>1540.597</td>\n",
       "      <td>-678.010</td>\n",
       "      <td>1004.293</td>\n",
       "      <td>1843.900</td>\n",
       "      <td>-664.394</td>\n",
       "      <td>183.050</td>\n",
       "      <td>1571.836</td>\n",
       "      <td>-650.919</td>\n",
       "      <td>-637.935</td>\n",
       "      <td>1668.979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71999</th>\n",
       "      <td>790.791</td>\n",
       "      <td>1623.936</td>\n",
       "      <td>1741.627</td>\n",
       "      <td>753.581</td>\n",
       "      <td>-181.148</td>\n",
       "      <td>1540.616</td>\n",
       "      <td>-678.029</td>\n",
       "      <td>1004.287</td>\n",
       "      <td>1843.924</td>\n",
       "      <td>-664.389</td>\n",
       "      <td>183.059</td>\n",
       "      <td>1571.842</td>\n",
       "      <td>-650.887</td>\n",
       "      <td>-637.904</td>\n",
       "      <td>1668.982</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72000 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         P01 X     P01 Y     P01 Z    P03 X    P03 Y     P03 Z    P10 X  \\\n",
       "0      797.440  1615.391  1741.077  725.214 -176.485  1544.417 -678.800   \n",
       "1      797.551  1615.334  1741.073  725.236 -176.459  1544.410 -678.854   \n",
       "2      797.688  1615.305  1741.069  725.253 -176.444  1544.410 -678.872   \n",
       "3      797.800  1615.244  1741.071  725.258 -176.422  1544.402 -678.913   \n",
       "4      797.933  1615.188  1741.077  725.266 -176.409  1544.421 -678.934   \n",
       "5      798.047  1615.128  1741.074  725.276 -176.394  1544.396 -678.992   \n",
       "6      797.909  1614.781  1740.953  725.186 -176.381  1544.351 -678.946   \n",
       "7      798.021  1614.714  1740.938  725.194 -176.361  1544.357 -678.981   \n",
       "8      798.144  1614.669  1740.932  725.196 -176.351  1544.350 -679.018   \n",
       "9      798.241  1614.601  1740.928  725.224 -176.291  1544.367 -679.061   \n",
       "10     798.355  1614.595  1740.940  725.281 -176.369  1544.383 -679.113   \n",
       "11     798.475  1614.556  1740.929  725.296 -176.358  1544.399 -679.158   \n",
       "12     798.582  1614.517  1740.912  725.320 -176.367  1544.380 -679.169   \n",
       "13     798.689  1614.489  1740.917  725.332 -176.357  1544.368 -679.209   \n",
       "14     798.789  1614.458  1740.912  725.360 -176.353  1544.389 -679.245   \n",
       "15     798.884  1614.441  1740.916  725.383 -176.345  1544.374 -679.299   \n",
       "16     799.145  1614.531  1740.968  725.397 -176.357  1544.376 -679.309   \n",
       "17     799.246  1614.534  1740.973  725.435 -176.331  1544.380 -679.380   \n",
       "18     799.348  1614.532  1740.969  725.463 -176.332  1544.381 -679.390   \n",
       "19     799.446  1614.527  1740.965  725.461 -176.339  1544.368 -679.419   \n",
       "20     799.552  1614.543  1740.978  725.499 -176.315  1544.387 -679.469   \n",
       "21     799.592  1614.495  1740.948  725.528 -176.333  1544.384 -679.507   \n",
       "22     799.694  1614.518  1740.965  725.540 -176.344  1544.391 -679.561   \n",
       "23     799.776  1614.520  1740.967  725.578 -176.305  1544.394 -679.588   \n",
       "24     799.852  1614.524  1740.954  725.583 -176.292  1544.379 -679.639   \n",
       "25     799.895  1614.508  1740.958  725.607 -176.313  1544.389 -679.667   \n",
       "26     799.989  1614.516  1740.968  725.617 -176.345  1544.385 -679.718   \n",
       "27     800.026  1614.506  1740.936  725.640 -176.331  1544.371 -679.766   \n",
       "28     800.075  1614.502  1740.945  725.667 -176.311  1544.388 -679.795   \n",
       "29     800.123  1614.488  1740.916  725.694 -176.328  1544.393 -679.849   \n",
       "...        ...       ...       ...      ...      ...       ...      ...   \n",
       "71970  790.218  1623.962  1741.614  753.584 -181.143  1540.622 -677.664   \n",
       "71971  790.236  1623.955  1741.633  753.572 -181.178  1540.616 -677.670   \n",
       "71972  790.258  1623.948  1741.618  753.589 -181.133  1540.633 -677.646   \n",
       "71973  790.248  1623.936  1741.607  753.576 -181.116  1540.627 -677.676   \n",
       "71974  790.272  1623.945  1741.617  753.570 -181.111  1540.648 -677.677   \n",
       "71975  790.271  1623.929  1741.615  753.560 -181.110  1540.641 -677.671   \n",
       "71976  790.286  1623.943  1741.619  753.574 -181.119  1540.615 -677.671   \n",
       "71977  790.300  1623.926  1741.612  753.534 -181.118  1540.585 -677.671   \n",
       "71978  790.319  1623.944  1741.607  753.525 -181.133  1540.599 -677.656   \n",
       "71979  790.341  1623.939  1741.608  753.544 -181.097  1540.599 -677.652   \n",
       "71980  790.338  1623.933  1741.600  753.545 -181.096  1540.608 -677.674   \n",
       "71981  790.383  1623.953  1741.608  753.531 -181.097  1540.605 -677.700   \n",
       "71982  790.375  1623.950  1741.609  753.543 -181.070  1540.596 -677.691   \n",
       "71983  790.460  1624.000  1741.650  753.537 -181.077  1540.599 -677.714   \n",
       "71984  790.444  1623.959  1741.617  753.542 -181.045  1540.611 -677.739   \n",
       "71985  790.482  1623.979  1741.645  753.551 -181.070  1540.622 -677.722   \n",
       "71986  790.514  1623.972  1741.644  753.550 -181.035  1540.624 -677.749   \n",
       "71987  790.520  1623.958  1741.635  753.563 -181.089  1540.606 -677.768   \n",
       "71988  790.510  1623.932  1741.620  753.544 -181.082  1540.615 -677.777   \n",
       "71989  790.545  1623.914  1741.620  753.548 -181.092  1540.605 -677.812   \n",
       "71990  790.561  1623.902  1741.605  753.543 -181.087  1540.596 -677.843   \n",
       "71991  790.567  1623.892  1741.603  753.535 -181.092  1540.608 -677.871   \n",
       "71992  790.591  1623.889  1741.588  753.528 -181.119  1540.609 -677.868   \n",
       "71993  790.627  1623.898  1741.602  753.554 -181.084  1540.600 -677.912   \n",
       "71994  790.664  1623.907  1741.606  753.555 -181.122  1540.611 -677.911   \n",
       "71995  790.682  1623.899  1741.609  753.560 -181.116  1540.605 -677.953   \n",
       "71996  790.729  1623.929  1741.618  753.560 -181.124  1540.601 -677.965   \n",
       "71997  790.718  1623.902  1741.605  753.568 -181.123  1540.595 -677.999   \n",
       "71998  790.773  1623.942  1741.639  753.581 -181.147  1540.597 -678.010   \n",
       "71999  790.791  1623.936  1741.627  753.581 -181.148  1540.616 -678.029   \n",
       "\n",
       "          P10 Y     P10 Z    P11 X    P11 Y     P11 Z    P12 X    P12 Y  \\\n",
       "0      1016.819  1845.735 -676.639  167.570  1568.894 -664.057 -644.955   \n",
       "1      1016.878  1845.778 -676.722  167.580  1568.901 -663.989 -644.980   \n",
       "2      1016.835  1845.749 -676.802  167.558  1568.914 -663.911 -644.959   \n",
       "3      1016.866  1845.779 -676.876  167.542  1568.903 -663.872 -644.996   \n",
       "4      1016.851  1845.775 -676.946  167.526  1568.900 -663.829 -644.966   \n",
       "5      1016.866  1845.784 -677.025  167.507  1568.905 -663.776 -644.976   \n",
       "6      1016.880  1845.895 -676.952  167.499  1568.865 -663.621 -644.630   \n",
       "7      1016.870  1845.893 -677.001  167.485  1568.859 -663.555 -644.647   \n",
       "8      1016.878  1845.896 -677.145  167.555  1568.820 -663.492 -644.631   \n",
       "9      1016.881  1845.913 -677.199  167.537  1568.834 -663.462 -644.666   \n",
       "10     1016.888  1845.888 -677.280  167.352  1568.789 -663.426 -644.679   \n",
       "11     1016.907  1845.906 -677.376  167.369  1568.843 -663.396 -644.687   \n",
       "12     1016.865  1845.880 -677.428  167.364  1568.841 -663.349 -644.700   \n",
       "13     1016.869  1845.882 -677.474  167.364  1568.891 -663.332 -644.727   \n",
       "14     1016.870  1845.867 -677.528  167.366  1568.891 -663.292 -644.749   \n",
       "15     1016.897  1845.874 -677.567  167.356  1568.899 -663.256 -644.752   \n",
       "16     1016.858  1845.866 -677.600  167.353  1568.895 -663.216 -644.779   \n",
       "17     1016.901  1845.871 -677.634  167.343  1568.916 -663.196 -644.817   \n",
       "18     1016.867  1845.878 -677.674  167.334  1568.925 -663.169 -644.835   \n",
       "19     1016.872  1845.852 -677.708  167.328  1568.925 -663.155 -644.876   \n",
       "20     1016.890  1845.852 -677.739  167.328  1568.942 -663.132 -644.899   \n",
       "21     1016.892  1845.847 -677.751  167.315  1568.943 -663.086 -644.918   \n",
       "22     1016.936  1845.872 -677.770  167.314  1568.948 -663.077 -644.975   \n",
       "23     1016.900  1845.846 -677.798  167.305  1568.948 -663.046 -644.979   \n",
       "24     1016.904  1845.855 -677.825  167.306  1568.958 -663.031 -645.013   \n",
       "25     1016.910  1845.856 -677.844  167.284  1568.950 -663.020 -645.065   \n",
       "26     1016.928  1845.860 -677.870  167.281  1568.957 -663.000 -645.103   \n",
       "27     1016.926  1845.861 -677.878  167.266  1568.949 -662.988 -645.118   \n",
       "28     1016.921  1845.848 -677.895  167.274  1568.944 -662.957 -645.130   \n",
       "29     1016.925  1845.849 -677.904  167.259  1568.963 -662.944 -645.177   \n",
       "...         ...       ...      ...      ...       ...      ...      ...   \n",
       "71970  1004.199  1843.820 -663.507  182.764  1571.793 -651.571 -638.281   \n",
       "71971  1004.199  1843.844 -663.541  182.781  1571.787 -651.545 -638.268   \n",
       "71972  1004.177  1843.834 -663.592  182.781  1571.791 -651.541 -638.271   \n",
       "71973  1004.213  1843.846 -663.638  182.797  1571.781 -651.530 -638.261   \n",
       "71974  1004.220  1843.857 -663.688  182.794  1571.776 -651.516 -638.288   \n",
       "71975  1004.214  1843.817 -663.714  182.802  1571.776 -651.496 -638.297   \n",
       "71976  1004.220  1843.828 -663.743  182.817  1571.762 -651.459 -638.277   \n",
       "71977  1004.220  1843.828 -663.806  182.828  1571.766 -651.433 -638.280   \n",
       "71978  1004.195  1843.814 -663.852  182.851  1571.752 -651.432 -638.296   \n",
       "71979  1004.189  1843.807 -663.886  182.862  1571.752 -651.389 -638.302   \n",
       "71980  1004.217  1843.838 -663.921  182.877  1571.739 -651.380 -638.293   \n",
       "71981  1004.220  1843.839 -663.982  182.887  1571.765 -651.355 -638.283   \n",
       "71982  1004.256  1843.871 -664.023  182.920  1571.762 -651.337 -638.287   \n",
       "71983  1004.271  1843.875 -664.062  182.944  1571.783 -651.299 -638.269   \n",
       "71984  1004.267  1843.864 -664.088  182.964  1571.775 -651.278 -638.272   \n",
       "71985  1004.255  1843.877 -664.122  182.974  1571.771 -651.257 -638.234   \n",
       "71986  1004.274  1843.897 -664.166  182.989  1571.795 -651.213 -638.231   \n",
       "71987  1004.274  1843.881 -664.191  183.001  1571.797 -651.197 -638.213   \n",
       "71988  1004.257  1843.888 -664.228  183.004  1571.793 -651.163 -638.185   \n",
       "71989  1004.279  1843.864 -664.256  183.025  1571.794 -651.151 -638.169   \n",
       "71990  1004.279  1843.865 -664.288  183.026  1571.781 -651.122 -638.139   \n",
       "71991  1004.310  1843.861 -664.307  183.029  1571.795 -651.103 -638.137   \n",
       "71992  1004.274  1843.859 -664.334  183.028  1571.798 -651.067 -638.109   \n",
       "71993  1004.308  1843.886 -664.351  183.027  1571.786 -651.027 -638.065   \n",
       "71994  1004.279  1843.896 -664.375  183.026  1571.803 -651.006 -638.043   \n",
       "71995  1004.286  1843.911 -664.374  183.029  1571.812 -650.980 -638.016   \n",
       "71996  1004.275  1843.895 -664.383  183.035  1571.816 -650.955 -637.992   \n",
       "71997  1004.292  1843.888 -664.397  183.039  1571.825 -650.926 -637.942   \n",
       "71998  1004.293  1843.900 -664.394  183.050  1571.836 -650.919 -637.935   \n",
       "71999  1004.287  1843.924 -664.389  183.059  1571.842 -650.887 -637.904   \n",
       "\n",
       "          P12 Z  \n",
       "0      1671.752  \n",
       "1      1671.759  \n",
       "2      1671.743  \n",
       "3      1671.728  \n",
       "4      1671.725  \n",
       "5      1671.712  \n",
       "6      1671.583  \n",
       "7      1671.568  \n",
       "8      1671.583  \n",
       "9      1671.564  \n",
       "10     1671.558  \n",
       "11     1671.569  \n",
       "12     1671.545  \n",
       "13     1671.534  \n",
       "14     1671.539  \n",
       "15     1671.534  \n",
       "16     1671.524  \n",
       "17     1671.520  \n",
       "18     1671.506  \n",
       "19     1671.521  \n",
       "20     1671.520  \n",
       "21     1671.511  \n",
       "22     1671.530  \n",
       "23     1671.518  \n",
       "24     1671.499  \n",
       "25     1671.510  \n",
       "26     1671.513  \n",
       "27     1671.493  \n",
       "28     1671.487  \n",
       "29     1671.500  \n",
       "...         ...  \n",
       "71970  1669.052  \n",
       "71971  1669.063  \n",
       "71972  1669.054  \n",
       "71973  1669.048  \n",
       "71974  1669.067  \n",
       "71975  1669.045  \n",
       "71976  1669.047  \n",
       "71977  1669.037  \n",
       "71978  1669.052  \n",
       "71979  1669.025  \n",
       "71980  1669.013  \n",
       "71981  1669.025  \n",
       "71982  1669.027  \n",
       "71983  1669.024  \n",
       "71984  1669.038  \n",
       "71985  1669.036  \n",
       "71986  1669.033  \n",
       "71987  1669.038  \n",
       "71988  1669.009  \n",
       "71989  1669.023  \n",
       "71990  1669.005  \n",
       "71991  1669.009  \n",
       "71992  1668.989  \n",
       "71993  1668.994  \n",
       "71994  1668.988  \n",
       "71995  1668.981  \n",
       "71996  1668.981  \n",
       "71997  1668.981  \n",
       "71998  1668.979  \n",
       "71999  1668.982  \n",
       "\n",
       "[72000 rows x 15 columns]"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Example: Group1. All participants.\n",
    "nm17raw[1]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "VGflH4upaESl"
   },
   "source": [
    "## Extracting individuals from groups and nesting in dictionaries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "PBOV-1-iaGDY"
   },
   "outputs": [],
   "source": [
    "nm17 = {}\n",
    "Fs = 200 #sampling frequency of the Mocap system (fps)    \n",
    "num_groups = len(nm17raw)\n",
    "    \n",
    "\n",
    "for g_id in range(1,num_groups+1):\n",
    "    nm17[g_id] = {}\n",
    "    j = 0\n",
    "    k = 0\n",
    "    for i in range (3,len(nm17raw[g_id].columns)+3,3):\n",
    "        j = j+1\n",
    "        nm17[g_id][j] = nm17raw[g_id].iloc[:,k:i:1]\n",
    "        nm17[g_id][j].columns = ['X', 'Y', 'Z']\n",
    "        time = np.linspace(0, len(nm17raw[g_id])/Fs, len(nm17raw[g_id]))\n",
    "        nm17[g_id][j].insert(0, 'Time (s)', time)\n",
    "        k = k+3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "collapsed": true,
    "id": "LrdMx0PEaMdg"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time (s)</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>-664.057</td>\n",
       "      <td>-644.955</td>\n",
       "      <td>1671.752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>-663.989</td>\n",
       "      <td>-644.980</td>\n",
       "      <td>1671.759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.010000</td>\n",
       "      <td>-663.911</td>\n",
       "      <td>-644.959</td>\n",
       "      <td>1671.743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.015000</td>\n",
       "      <td>-663.872</td>\n",
       "      <td>-644.996</td>\n",
       "      <td>1671.728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.020000</td>\n",
       "      <td>-663.829</td>\n",
       "      <td>-644.966</td>\n",
       "      <td>1671.725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.025000</td>\n",
       "      <td>-663.776</td>\n",
       "      <td>-644.976</td>\n",
       "      <td>1671.712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.030000</td>\n",
       "      <td>-663.621</td>\n",
       "      <td>-644.630</td>\n",
       "      <td>1671.583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.035000</td>\n",
       "      <td>-663.555</td>\n",
       "      <td>-644.647</td>\n",
       "      <td>1671.568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.040001</td>\n",
       "      <td>-663.492</td>\n",
       "      <td>-644.631</td>\n",
       "      <td>1671.583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.045001</td>\n",
       "      <td>-663.462</td>\n",
       "      <td>-644.666</td>\n",
       "      <td>1671.564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.050001</td>\n",
       "      <td>-663.426</td>\n",
       "      <td>-644.679</td>\n",
       "      <td>1671.558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.055001</td>\n",
       "      <td>-663.396</td>\n",
       "      <td>-644.687</td>\n",
       "      <td>1671.569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.060001</td>\n",
       "      <td>-663.349</td>\n",
       "      <td>-644.700</td>\n",
       "      <td>1671.545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.065001</td>\n",
       "      <td>-663.332</td>\n",
       "      <td>-644.727</td>\n",
       "      <td>1671.534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.070001</td>\n",
       "      <td>-663.292</td>\n",
       "      <td>-644.749</td>\n",
       "      <td>1671.539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.075001</td>\n",
       "      <td>-663.256</td>\n",
       "      <td>-644.752</td>\n",
       "      <td>1671.534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.080001</td>\n",
       "      <td>-663.216</td>\n",
       "      <td>-644.779</td>\n",
       "      <td>1671.524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.085001</td>\n",
       "      <td>-663.196</td>\n",
       "      <td>-644.817</td>\n",
       "      <td>1671.520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.090001</td>\n",
       "      <td>-663.169</td>\n",
       "      <td>-644.835</td>\n",
       "      <td>1671.506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.095001</td>\n",
       "      <td>-663.155</td>\n",
       "      <td>-644.876</td>\n",
       "      <td>1671.521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.100001</td>\n",
       "      <td>-663.132</td>\n",
       "      <td>-644.899</td>\n",
       "      <td>1671.520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.105001</td>\n",
       "      <td>-663.086</td>\n",
       "      <td>-644.918</td>\n",
       "      <td>1671.511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.110002</td>\n",
       "      <td>-663.077</td>\n",
       "      <td>-644.975</td>\n",
       "      <td>1671.530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.115002</td>\n",
       "      <td>-663.046</td>\n",
       "      <td>-644.979</td>\n",
       "      <td>1671.518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.120002</td>\n",
       "      <td>-663.031</td>\n",
       "      <td>-645.013</td>\n",
       "      <td>1671.499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.125002</td>\n",
       "      <td>-663.020</td>\n",
       "      <td>-645.065</td>\n",
       "      <td>1671.510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.130002</td>\n",
       "      <td>-663.000</td>\n",
       "      <td>-645.103</td>\n",
       "      <td>1671.513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.135002</td>\n",
       "      <td>-662.988</td>\n",
       "      <td>-645.118</td>\n",
       "      <td>1671.493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.140002</td>\n",
       "      <td>-662.957</td>\n",
       "      <td>-645.130</td>\n",
       "      <td>1671.487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.145002</td>\n",
       "      <td>-662.944</td>\n",
       "      <td>-645.177</td>\n",
       "      <td>1671.500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71970</th>\n",
       "      <td>359.854998</td>\n",
       "      <td>-651.571</td>\n",
       "      <td>-638.281</td>\n",
       "      <td>1669.052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71971</th>\n",
       "      <td>359.859998</td>\n",
       "      <td>-651.545</td>\n",
       "      <td>-638.268</td>\n",
       "      <td>1669.063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71972</th>\n",
       "      <td>359.864998</td>\n",
       "      <td>-651.541</td>\n",
       "      <td>-638.271</td>\n",
       "      <td>1669.054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71973</th>\n",
       "      <td>359.869998</td>\n",
       "      <td>-651.530</td>\n",
       "      <td>-638.261</td>\n",
       "      <td>1669.048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71974</th>\n",
       "      <td>359.874998</td>\n",
       "      <td>-651.516</td>\n",
       "      <td>-638.288</td>\n",
       "      <td>1669.067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71975</th>\n",
       "      <td>359.879998</td>\n",
       "      <td>-651.496</td>\n",
       "      <td>-638.297</td>\n",
       "      <td>1669.045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71976</th>\n",
       "      <td>359.884998</td>\n",
       "      <td>-651.459</td>\n",
       "      <td>-638.277</td>\n",
       "      <td>1669.047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71977</th>\n",
       "      <td>359.889998</td>\n",
       "      <td>-651.433</td>\n",
       "      <td>-638.280</td>\n",
       "      <td>1669.037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71978</th>\n",
       "      <td>359.894999</td>\n",
       "      <td>-651.432</td>\n",
       "      <td>-638.296</td>\n",
       "      <td>1669.052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71979</th>\n",
       "      <td>359.899999</td>\n",
       "      <td>-651.389</td>\n",
       "      <td>-638.302</td>\n",
       "      <td>1669.025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71980</th>\n",
       "      <td>359.904999</td>\n",
       "      <td>-651.380</td>\n",
       "      <td>-638.293</td>\n",
       "      <td>1669.013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71981</th>\n",
       "      <td>359.909999</td>\n",
       "      <td>-651.355</td>\n",
       "      <td>-638.283</td>\n",
       "      <td>1669.025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71982</th>\n",
       "      <td>359.914999</td>\n",
       "      <td>-651.337</td>\n",
       "      <td>-638.287</td>\n",
       "      <td>1669.027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71983</th>\n",
       "      <td>359.919999</td>\n",
       "      <td>-651.299</td>\n",
       "      <td>-638.269</td>\n",
       "      <td>1669.024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71984</th>\n",
       "      <td>359.924999</td>\n",
       "      <td>-651.278</td>\n",
       "      <td>-638.272</td>\n",
       "      <td>1669.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71985</th>\n",
       "      <td>359.929999</td>\n",
       "      <td>-651.257</td>\n",
       "      <td>-638.234</td>\n",
       "      <td>1669.036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71986</th>\n",
       "      <td>359.934999</td>\n",
       "      <td>-651.213</td>\n",
       "      <td>-638.231</td>\n",
       "      <td>1669.033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71987</th>\n",
       "      <td>359.939999</td>\n",
       "      <td>-651.197</td>\n",
       "      <td>-638.213</td>\n",
       "      <td>1669.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71988</th>\n",
       "      <td>359.944999</td>\n",
       "      <td>-651.163</td>\n",
       "      <td>-638.185</td>\n",
       "      <td>1669.009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71989</th>\n",
       "      <td>359.949999</td>\n",
       "      <td>-651.151</td>\n",
       "      <td>-638.169</td>\n",
       "      <td>1669.023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71990</th>\n",
       "      <td>359.954999</td>\n",
       "      <td>-651.122</td>\n",
       "      <td>-638.139</td>\n",
       "      <td>1669.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71991</th>\n",
       "      <td>359.959999</td>\n",
       "      <td>-651.103</td>\n",
       "      <td>-638.137</td>\n",
       "      <td>1669.009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71992</th>\n",
       "      <td>359.965000</td>\n",
       "      <td>-651.067</td>\n",
       "      <td>-638.109</td>\n",
       "      <td>1668.989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71993</th>\n",
       "      <td>359.970000</td>\n",
       "      <td>-651.027</td>\n",
       "      <td>-638.065</td>\n",
       "      <td>1668.994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71994</th>\n",
       "      <td>359.975000</td>\n",
       "      <td>-651.006</td>\n",
       "      <td>-638.043</td>\n",
       "      <td>1668.988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71995</th>\n",
       "      <td>359.980000</td>\n",
       "      <td>-650.980</td>\n",
       "      <td>-638.016</td>\n",
       "      <td>1668.981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71996</th>\n",
       "      <td>359.985000</td>\n",
       "      <td>-650.955</td>\n",
       "      <td>-637.992</td>\n",
       "      <td>1668.981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71997</th>\n",
       "      <td>359.990000</td>\n",
       "      <td>-650.926</td>\n",
       "      <td>-637.942</td>\n",
       "      <td>1668.981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71998</th>\n",
       "      <td>359.995000</td>\n",
       "      <td>-650.919</td>\n",
       "      <td>-637.935</td>\n",
       "      <td>1668.979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71999</th>\n",
       "      <td>360.000000</td>\n",
       "      <td>-650.887</td>\n",
       "      <td>-637.904</td>\n",
       "      <td>1668.982</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72000 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Time (s)        X        Y         Z\n",
       "0        0.000000 -664.057 -644.955  1671.752\n",
       "1        0.005000 -663.989 -644.980  1671.759\n",
       "2        0.010000 -663.911 -644.959  1671.743\n",
       "3        0.015000 -663.872 -644.996  1671.728\n",
       "4        0.020000 -663.829 -644.966  1671.725\n",
       "5        0.025000 -663.776 -644.976  1671.712\n",
       "6        0.030000 -663.621 -644.630  1671.583\n",
       "7        0.035000 -663.555 -644.647  1671.568\n",
       "8        0.040001 -663.492 -644.631  1671.583\n",
       "9        0.045001 -663.462 -644.666  1671.564\n",
       "10       0.050001 -663.426 -644.679  1671.558\n",
       "11       0.055001 -663.396 -644.687  1671.569\n",
       "12       0.060001 -663.349 -644.700  1671.545\n",
       "13       0.065001 -663.332 -644.727  1671.534\n",
       "14       0.070001 -663.292 -644.749  1671.539\n",
       "15       0.075001 -663.256 -644.752  1671.534\n",
       "16       0.080001 -663.216 -644.779  1671.524\n",
       "17       0.085001 -663.196 -644.817  1671.520\n",
       "18       0.090001 -663.169 -644.835  1671.506\n",
       "19       0.095001 -663.155 -644.876  1671.521\n",
       "20       0.100001 -663.132 -644.899  1671.520\n",
       "21       0.105001 -663.086 -644.918  1671.511\n",
       "22       0.110002 -663.077 -644.975  1671.530\n",
       "23       0.115002 -663.046 -644.979  1671.518\n",
       "24       0.120002 -663.031 -645.013  1671.499\n",
       "25       0.125002 -663.020 -645.065  1671.510\n",
       "26       0.130002 -663.000 -645.103  1671.513\n",
       "27       0.135002 -662.988 -645.118  1671.493\n",
       "28       0.140002 -662.957 -645.130  1671.487\n",
       "29       0.145002 -662.944 -645.177  1671.500\n",
       "...           ...      ...      ...       ...\n",
       "71970  359.854998 -651.571 -638.281  1669.052\n",
       "71971  359.859998 -651.545 -638.268  1669.063\n",
       "71972  359.864998 -651.541 -638.271  1669.054\n",
       "71973  359.869998 -651.530 -638.261  1669.048\n",
       "71974  359.874998 -651.516 -638.288  1669.067\n",
       "71975  359.879998 -651.496 -638.297  1669.045\n",
       "71976  359.884998 -651.459 -638.277  1669.047\n",
       "71977  359.889998 -651.433 -638.280  1669.037\n",
       "71978  359.894999 -651.432 -638.296  1669.052\n",
       "71979  359.899999 -651.389 -638.302  1669.025\n",
       "71980  359.904999 -651.380 -638.293  1669.013\n",
       "71981  359.909999 -651.355 -638.283  1669.025\n",
       "71982  359.914999 -651.337 -638.287  1669.027\n",
       "71983  359.919999 -651.299 -638.269  1669.024\n",
       "71984  359.924999 -651.278 -638.272  1669.038\n",
       "71985  359.929999 -651.257 -638.234  1669.036\n",
       "71986  359.934999 -651.213 -638.231  1669.033\n",
       "71987  359.939999 -651.197 -638.213  1669.038\n",
       "71988  359.944999 -651.163 -638.185  1669.009\n",
       "71989  359.949999 -651.151 -638.169  1669.023\n",
       "71990  359.954999 -651.122 -638.139  1669.005\n",
       "71991  359.959999 -651.103 -638.137  1669.009\n",
       "71992  359.965000 -651.067 -638.109  1668.989\n",
       "71993  359.970000 -651.027 -638.065  1668.994\n",
       "71994  359.975000 -651.006 -638.043  1668.988\n",
       "71995  359.980000 -650.980 -638.016  1668.981\n",
       "71996  359.985000 -650.955 -637.992  1668.981\n",
       "71997  359.990000 -650.926 -637.942  1668.981\n",
       "71998  359.995000 -650.919 -637.935  1668.979\n",
       "71999  360.000000 -650.887 -637.904  1668.982\n",
       "\n",
       "[72000 rows x 4 columns]"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nm17[1][1] #data from group 1, participant 1 with time column"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "7V9pZKKWaN0v"
   },
   "source": [
    "## Calculating variables for analysis (displacement, velocity, quantity of motion)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "K4smYqjjaXkm"
   },
   "source": [
    "### Calculating displacement (change of position)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "5y0gXZicaSYD"
   },
   "outputs": [],
   "source": [
    "def displacement(position):\n",
    "\n",
    "    displacement = (\n",
    "        np.roll(position, -1, axis=0)\n",
    "        - position)\n",
    "    displacement = displacement.drop(displacement.index[len(displacement)-1])\n",
    "    \n",
    "    displacement.index =  position['Time (s)'][1:]\n",
    "    \n",
    "    return displacement\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "5gjQlJDLgzz6"
   },
   "outputs": [],
   "source": [
    "displacements = {}    \n",
    "\n",
    "for groups in range(1,num_groups+1):\n",
    "    displacements[groups] = {}\n",
    "    \n",
    "    for i in range(1,len(nm17[groups]) + 1):\n",
    "        displacements[groups][i] = displacement(nm17[groups][i])\n",
    "        displacements[groups][i]['timestep (s)'] = displacements[groups][i]['Time (s)']\n",
    "        displacements[groups][i] = displacements[groups][i].drop(['Time (s)'], axis=1)\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "collapsed": true,
    "id": "LbgO0-fLiASq"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Z</th>\n",
       "      <th>timestep (s)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Time (s)</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.005000</th>\n",
       "      <td>0.111</td>\n",
       "      <td>-0.057</td>\n",
       "      <td>-0.004</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.010000</th>\n",
       "      <td>0.137</td>\n",
       "      <td>-0.029</td>\n",
       "      <td>-0.004</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.015000</th>\n",
       "      <td>0.112</td>\n",
       "      <td>-0.061</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.020000</th>\n",
       "      <td>0.133</td>\n",
       "      <td>-0.056</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.025000</th>\n",
       "      <td>0.114</td>\n",
       "      <td>-0.060</td>\n",
       "      <td>-0.003</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.030000</th>\n",
       "      <td>-0.138</td>\n",
       "      <td>-0.347</td>\n",
       "      <td>-0.121</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.035000</th>\n",
       "      <td>0.112</td>\n",
       "      <td>-0.067</td>\n",
       "      <td>-0.015</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.040001</th>\n",
       "      <td>0.123</td>\n",
       "      <td>-0.045</td>\n",
       "      <td>-0.006</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.045001</th>\n",
       "      <td>0.097</td>\n",
       "      <td>-0.068</td>\n",
       "      <td>-0.004</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.050001</th>\n",
       "      <td>0.114</td>\n",
       "      <td>-0.006</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.055001</th>\n",
       "      <td>0.120</td>\n",
       "      <td>-0.039</td>\n",
       "      <td>-0.011</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.060001</th>\n",
       "      <td>0.107</td>\n",
       "      <td>-0.039</td>\n",
       "      <td>-0.017</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.065001</th>\n",
       "      <td>0.107</td>\n",
       "      <td>-0.028</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.070001</th>\n",
       "      <td>0.100</td>\n",
       "      <td>-0.031</td>\n",
       "      <td>-0.005</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.075001</th>\n",
       "      <td>0.095</td>\n",
       "      <td>-0.017</td>\n",
       "      <td>0.004</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.080001</th>\n",
       "      <td>0.261</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0.052</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.085001</th>\n",
       "      <td>0.101</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.090001</th>\n",
       "      <td>0.102</td>\n",
       "      <td>-0.002</td>\n",
       "      <td>-0.004</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.095001</th>\n",
       "      <td>0.098</td>\n",
       "      <td>-0.005</td>\n",
       "      <td>-0.004</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.100001</th>\n",
       "      <td>0.106</td>\n",
       "      <td>0.016</td>\n",
       "      <td>0.013</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.105001</th>\n",
       "      <td>0.040</td>\n",
       "      <td>-0.048</td>\n",
       "      <td>-0.030</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.110002</th>\n",
       "      <td>0.102</td>\n",
       "      <td>0.023</td>\n",
       "      <td>0.017</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.115002</th>\n",
       "      <td>0.082</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.120002</th>\n",
       "      <td>0.076</td>\n",
       "      <td>0.004</td>\n",
       "      <td>-0.013</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.125002</th>\n",
       "      <td>0.043</td>\n",
       "      <td>-0.016</td>\n",
       "      <td>0.004</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.130002</th>\n",
       "      <td>0.094</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.135002</th>\n",
       "      <td>0.037</td>\n",
       "      <td>-0.010</td>\n",
       "      <td>-0.032</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.140002</th>\n",
       "      <td>0.049</td>\n",
       "      <td>-0.004</td>\n",
       "      <td>0.009</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.145002</th>\n",
       "      <td>0.048</td>\n",
       "      <td>-0.014</td>\n",
       "      <td>-0.029</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.150002</th>\n",
       "      <td>0.073</td>\n",
       "      <td>0.018</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.854998</th>\n",
       "      <td>0.058</td>\n",
       "      <td>0.044</td>\n",
       "      <td>0.022</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.859998</th>\n",
       "      <td>0.018</td>\n",
       "      <td>-0.007</td>\n",
       "      <td>0.019</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.864998</th>\n",
       "      <td>0.022</td>\n",
       "      <td>-0.007</td>\n",
       "      <td>-0.015</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.869998</th>\n",
       "      <td>-0.010</td>\n",
       "      <td>-0.012</td>\n",
       "      <td>-0.011</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.874998</th>\n",
       "      <td>0.024</td>\n",
       "      <td>0.009</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.879998</th>\n",
       "      <td>-0.001</td>\n",
       "      <td>-0.016</td>\n",
       "      <td>-0.002</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.884998</th>\n",
       "      <td>0.015</td>\n",
       "      <td>0.014</td>\n",
       "      <td>0.004</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.889998</th>\n",
       "      <td>0.014</td>\n",
       "      <td>-0.017</td>\n",
       "      <td>-0.007</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.894999</th>\n",
       "      <td>0.019</td>\n",
       "      <td>0.018</td>\n",
       "      <td>-0.005</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.899999</th>\n",
       "      <td>0.022</td>\n",
       "      <td>-0.005</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.904999</th>\n",
       "      <td>-0.003</td>\n",
       "      <td>-0.006</td>\n",
       "      <td>-0.008</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.909999</th>\n",
       "      <td>0.045</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.914999</th>\n",
       "      <td>-0.008</td>\n",
       "      <td>-0.003</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.919999</th>\n",
       "      <td>0.085</td>\n",
       "      <td>0.050</td>\n",
       "      <td>0.041</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.924999</th>\n",
       "      <td>-0.016</td>\n",
       "      <td>-0.041</td>\n",
       "      <td>-0.033</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.929999</th>\n",
       "      <td>0.038</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.028</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.934999</th>\n",
       "      <td>0.032</td>\n",
       "      <td>-0.007</td>\n",
       "      <td>-0.001</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.939999</th>\n",
       "      <td>0.006</td>\n",
       "      <td>-0.014</td>\n",
       "      <td>-0.009</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.944999</th>\n",
       "      <td>-0.010</td>\n",
       "      <td>-0.026</td>\n",
       "      <td>-0.015</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.949999</th>\n",
       "      <td>0.035</td>\n",
       "      <td>-0.018</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.954999</th>\n",
       "      <td>0.016</td>\n",
       "      <td>-0.012</td>\n",
       "      <td>-0.015</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.959999</th>\n",
       "      <td>0.006</td>\n",
       "      <td>-0.010</td>\n",
       "      <td>-0.002</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.965000</th>\n",
       "      <td>0.024</td>\n",
       "      <td>-0.003</td>\n",
       "      <td>-0.015</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.970000</th>\n",
       "      <td>0.036</td>\n",
       "      <td>0.009</td>\n",
       "      <td>0.014</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.975000</th>\n",
       "      <td>0.037</td>\n",
       "      <td>0.009</td>\n",
       "      <td>0.004</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.980000</th>\n",
       "      <td>0.018</td>\n",
       "      <td>-0.008</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.985000</th>\n",
       "      <td>0.047</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.009</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.990000</th>\n",
       "      <td>-0.011</td>\n",
       "      <td>-0.027</td>\n",
       "      <td>-0.013</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.995000</th>\n",
       "      <td>0.055</td>\n",
       "      <td>0.040</td>\n",
       "      <td>0.034</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360.000000</th>\n",
       "      <td>0.018</td>\n",
       "      <td>-0.006</td>\n",
       "      <td>-0.012</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>71999 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                X      Y      Z  timestep (s)\n",
       "Time (s)                                     \n",
       "0.005000    0.111 -0.057 -0.004         0.005\n",
       "0.010000    0.137 -0.029 -0.004         0.005\n",
       "0.015000    0.112 -0.061  0.002         0.005\n",
       "0.020000    0.133 -0.056  0.006         0.005\n",
       "0.025000    0.114 -0.060 -0.003         0.005\n",
       "0.030000   -0.138 -0.347 -0.121         0.005\n",
       "0.035000    0.112 -0.067 -0.015         0.005\n",
       "0.040001    0.123 -0.045 -0.006         0.005\n",
       "0.045001    0.097 -0.068 -0.004         0.005\n",
       "0.050001    0.114 -0.006  0.012         0.005\n",
       "0.055001    0.120 -0.039 -0.011         0.005\n",
       "0.060001    0.107 -0.039 -0.017         0.005\n",
       "0.065001    0.107 -0.028  0.005         0.005\n",
       "0.070001    0.100 -0.031 -0.005         0.005\n",
       "0.075001    0.095 -0.017  0.004         0.005\n",
       "0.080001    0.261  0.090  0.052         0.005\n",
       "0.085001    0.101  0.003  0.005         0.005\n",
       "0.090001    0.102 -0.002 -0.004         0.005\n",
       "0.095001    0.098 -0.005 -0.004         0.005\n",
       "0.100001    0.106  0.016  0.013         0.005\n",
       "0.105001    0.040 -0.048 -0.030         0.005\n",
       "0.110002    0.102  0.023  0.017         0.005\n",
       "0.115002    0.082  0.002  0.002         0.005\n",
       "0.120002    0.076  0.004 -0.013         0.005\n",
       "0.125002    0.043 -0.016  0.004         0.005\n",
       "0.130002    0.094  0.008  0.010         0.005\n",
       "0.135002    0.037 -0.010 -0.032         0.005\n",
       "0.140002    0.049 -0.004  0.009         0.005\n",
       "0.145002    0.048 -0.014 -0.029         0.005\n",
       "0.150002    0.073  0.018  0.006         0.005\n",
       "...           ...    ...    ...           ...\n",
       "359.854998  0.058  0.044  0.022         0.005\n",
       "359.859998  0.018 -0.007  0.019         0.005\n",
       "359.864998  0.022 -0.007 -0.015         0.005\n",
       "359.869998 -0.010 -0.012 -0.011         0.005\n",
       "359.874998  0.024  0.009  0.010         0.005\n",
       "359.879998 -0.001 -0.016 -0.002         0.005\n",
       "359.884998  0.015  0.014  0.004         0.005\n",
       "359.889998  0.014 -0.017 -0.007         0.005\n",
       "359.894999  0.019  0.018 -0.005         0.005\n",
       "359.899999  0.022 -0.005  0.001         0.005\n",
       "359.904999 -0.003 -0.006 -0.008         0.005\n",
       "359.909999  0.045  0.020  0.008         0.005\n",
       "359.914999 -0.008 -0.003  0.001         0.005\n",
       "359.919999  0.085  0.050  0.041         0.005\n",
       "359.924999 -0.016 -0.041 -0.033         0.005\n",
       "359.929999  0.038  0.020  0.028         0.005\n",
       "359.934999  0.032 -0.007 -0.001         0.005\n",
       "359.939999  0.006 -0.014 -0.009         0.005\n",
       "359.944999 -0.010 -0.026 -0.015         0.005\n",
       "359.949999  0.035 -0.018  0.000         0.005\n",
       "359.954999  0.016 -0.012 -0.015         0.005\n",
       "359.959999  0.006 -0.010 -0.002         0.005\n",
       "359.965000  0.024 -0.003 -0.015         0.005\n",
       "359.970000  0.036  0.009  0.014         0.005\n",
       "359.975000  0.037  0.009  0.004         0.005\n",
       "359.980000  0.018 -0.008  0.003         0.005\n",
       "359.985000  0.047  0.030  0.009         0.005\n",
       "359.990000 -0.011 -0.027 -0.013         0.005\n",
       "359.995000  0.055  0.040  0.034         0.005\n",
       "360.000000  0.018 -0.006 -0.012         0.005\n",
       "\n",
       "[71999 rows x 4 columns]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "displacements[1][1] #displacement for group 1, participant 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "RHh3qQrhwxWR"
   },
   "source": [
    "### Plotting displacement\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 541
    },
    "colab_type": "code",
    "id": "zYwueuFJwT_H",
    "outputId": "b4b420f1-b6d3-4f76-ccda-921b8920988d"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Vd9vKGU/bV0ysjt/x/v37ERUVhZMnTyIkJATVqlVD4cKF8yzHcfubTCafqgt+5swZDBs2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\njEE4EREREZHH/j8zKFwh2xC7lgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig5, ax5 = plt.subplots(1)\n",
    "fig5.set_figheight(8)\n",
    "fig5.set_figwidth(12)\n",
    "ax5.set_facecolor(\"white\")\n",
    "ax5.plot(displacements[1][1]['X'], lw=1, label='Displacement participant 1_1 along X axis', color='red', alpha=0.5) #Displacement on x axis\n",
    "\n",
    "plt.tick_params(axis='both', which='major', labelsize=14)\n",
    "ax5.legend(loc='upper right', fontsize=16)\n",
    "plt.xlabel('Time (s)', fontsize=16);\n",
    "plt.ylabel('Displacement (mm)', fontsize=16);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "QeUGMPvE31mf"
   },
   "source": [
    "### Calculating norm of displacement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "KUkOLgEp35Gy"
   },
   "outputs": [],
   "source": [
    "def disp_norm(displacement):\n",
    "  \n",
    "       \n",
    "    dispnorm = np.sqrt(\n",
    "         displacement.X ** 2 +\n",
    "         displacement.Y ** 2 +\n",
    "         displacement.Z ** 2\n",
    "    )\n",
    "    \n",
    "    return pd.DataFrame({\n",
    "        'Norm of Displacement': dispnorm,\n",
    "    })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "O6vPEaC1_yyK"
   },
   "outputs": [],
   "source": [
    "disp_norms = {}    \n",
    "\n",
    "for groups in range(1,num_groups+1):\n",
    "    disp_norms[groups] = {}\n",
    "    \n",
    "    for i in range(1,len(nm17[groups])+1):\n",
    "        disp_norms[groups][i] = disp_norm(displacements[groups][i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "collapsed": true,
    "id": "Spc3faO4__wo"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Norm of Displacement</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Time (s)</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.005000</th>\n",
       "      <td>0.124844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.010000</th>\n",
       "      <td>0.140093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.015000</th>\n",
       "      <td>0.127550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.020000</th>\n",
       "      <td>0.144433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.025000</th>\n",
       "      <td>0.128860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.030000</th>\n",
       "      <td>0.392548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.035000</th>\n",
       "      <td>0.131370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.040001</th>\n",
       "      <td>0.131111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.045001</th>\n",
       "      <td>0.118528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.050001</th>\n",
       "      <td>0.114787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.055001</th>\n",
       "      <td>0.126657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.060001</th>\n",
       "      <td>0.115148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.065001</th>\n",
       "      <td>0.110716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.070001</th>\n",
       "      <td>0.104814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.075001</th>\n",
       "      <td>0.096592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.080001</th>\n",
       "      <td>0.280936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.085001</th>\n",
       "      <td>0.101168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.090001</th>\n",
       "      <td>0.102098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.095001</th>\n",
       "      <td>0.098209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.100001</th>\n",
       "      <td>0.107986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.105001</th>\n",
       "      <td>0.069311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.110002</th>\n",
       "      <td>0.105934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.115002</th>\n",
       "      <td>0.082049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.120002</th>\n",
       "      <td>0.077208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.125002</th>\n",
       "      <td>0.046054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.130002</th>\n",
       "      <td>0.094868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.135002</th>\n",
       "      <td>0.049930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.140002</th>\n",
       "      <td>0.049980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.145002</th>\n",
       "      <td>0.057801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.150002</th>\n",
       "      <td>0.075425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.854998</th>\n",
       "      <td>0.076053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.859998</th>\n",
       "      <td>0.027092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.864998</th>\n",
       "      <td>0.027532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.869998</th>\n",
       "      <td>0.019105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.874998</th>\n",
       "      <td>0.027514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.879998</th>\n",
       "      <td>0.016155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.884998</th>\n",
       "      <td>0.020905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.889998</th>\n",
       "      <td>0.023108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.894999</th>\n",
       "      <td>0.026646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.899999</th>\n",
       "      <td>0.022583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.904999</th>\n",
       "      <td>0.010440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.909999</th>\n",
       "      <td>0.049890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.914999</th>\n",
       "      <td>0.008602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.919999</th>\n",
       "      <td>0.106799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.924999</th>\n",
       "      <td>0.055009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.929999</th>\n",
       "      <td>0.051264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.934999</th>\n",
       "      <td>0.032772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.939999</th>\n",
       "      <td>0.017692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.944999</th>\n",
       "      <td>0.031639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.949999</th>\n",
       "      <td>0.039357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.954999</th>\n",
       "      <td>0.025000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.959999</th>\n",
       "      <td>0.011832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.965000</th>\n",
       "      <td>0.028460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.970000</th>\n",
       "      <td>0.039661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.975000</th>\n",
       "      <td>0.038288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.980000</th>\n",
       "      <td>0.019925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.985000</th>\n",
       "      <td>0.056480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.990000</th>\n",
       "      <td>0.031922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.995000</th>\n",
       "      <td>0.076033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360.000000</th>\n",
       "      <td>0.022450</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>71999 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Norm of Displacement\n",
       "Time (s)                        \n",
       "0.005000                0.124844\n",
       "0.010000                0.140093\n",
       "0.015000                0.127550\n",
       "0.020000                0.144433\n",
       "0.025000                0.128860\n",
       "0.030000                0.392548\n",
       "0.035000                0.131370\n",
       "0.040001                0.131111\n",
       "0.045001                0.118528\n",
       "0.050001                0.114787\n",
       "0.055001                0.126657\n",
       "0.060001                0.115148\n",
       "0.065001                0.110716\n",
       "0.070001                0.104814\n",
       "0.075001                0.096592\n",
       "0.080001                0.280936\n",
       "0.085001                0.101168\n",
       "0.090001                0.102098\n",
       "0.095001                0.098209\n",
       "0.100001                0.107986\n",
       "0.105001                0.069311\n",
       "0.110002                0.105934\n",
       "0.115002                0.082049\n",
       "0.120002                0.077208\n",
       "0.125002                0.046054\n",
       "0.130002                0.094868\n",
       "0.135002                0.049930\n",
       "0.140002                0.049980\n",
       "0.145002                0.057801\n",
       "0.150002                0.075425\n",
       "...                          ...\n",
       "359.854998              0.076053\n",
       "359.859998              0.027092\n",
       "359.864998              0.027532\n",
       "359.869998              0.019105\n",
       "359.874998              0.027514\n",
       "359.879998              0.016155\n",
       "359.884998              0.020905\n",
       "359.889998              0.023108\n",
       "359.894999              0.026646\n",
       "359.899999              0.022583\n",
       "359.904999              0.010440\n",
       "359.909999              0.049890\n",
       "359.914999              0.008602\n",
       "359.919999              0.106799\n",
       "359.924999              0.055009\n",
       "359.929999              0.051264\n",
       "359.934999              0.032772\n",
       "359.939999              0.017692\n",
       "359.944999              0.031639\n",
       "359.949999              0.039357\n",
       "359.954999              0.025000\n",
       "359.959999              0.011832\n",
       "359.965000              0.028460\n",
       "359.970000              0.039661\n",
       "359.975000              0.038288\n",
       "359.980000              0.019925\n",
       "359.985000              0.056480\n",
       "359.990000              0.031922\n",
       "359.995000              0.076033\n",
       "360.000000              0.022450\n",
       "\n",
       "[71999 rows x 1 columns]"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "disp_norms[1][1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "7xbFTCzS3C6k"
   },
   "source": [
    "### Distance travelled\n",
    "Cummulative distance travelled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "3vLtW5LiBtUL"
   },
   "outputs": [],
   "source": [
    "#Concatenating norm of displacement for all participants in each group\n",
    "disp_norms_group = {}\n",
    "for group_id in range (1,num_groups+1):\n",
    "    disp_norms_group[group_id] = pd.concat(disp_norms[group_id],1)\n",
    "   \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "collapsed": true,
    "id": "Cjlfj2bMIdA7"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Norm of Displacement</th>\n",
       "      <th>Norm of Displacement</th>\n",
       "      <th>Norm of Displacement</th>\n",
       "      <th>Norm of Displacement</th>\n",
       "      <th>Norm of Displacement</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Time (s)</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.005000</th>\n",
       "      <td>0.124844</td>\n",
       "      <td>0.034771</td>\n",
       "      <td>0.090807</td>\n",
       "      <td>0.083893</td>\n",
       "      <td>0.072787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.010000</th>\n",
       "      <td>0.140093</td>\n",
       "      <td>0.022672</td>\n",
       "      <td>0.054900</td>\n",
       "      <td>0.083982</td>\n",
       "      <td>0.082347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.015000</th>\n",
       "      <td>0.127550</td>\n",
       "      <td>0.023937</td>\n",
       "      <td>0.059515</td>\n",
       "      <td>0.076505</td>\n",
       "      <td>0.055812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.020000</th>\n",
       "      <td>0.144433</td>\n",
       "      <td>0.024372</td>\n",
       "      <td>0.026115</td>\n",
       "      <td>0.071868</td>\n",
       "      <td>0.052517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.025000</th>\n",
       "      <td>0.128860</td>\n",
       "      <td>0.030822</td>\n",
       "      <td>0.060581</td>\n",
       "      <td>0.081406</td>\n",
       "      <td>0.055480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.030000</th>\n",
       "      <td>0.392548</td>\n",
       "      <td>0.101459</td>\n",
       "      <td>0.120967</td>\n",
       "      <td>0.083624</td>\n",
       "      <td>0.400477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.035000</th>\n",
       "      <td>0.131370</td>\n",
       "      <td>0.022361</td>\n",
       "      <td>0.036455</td>\n",
       "      <td>0.051313</td>\n",
       "      <td>0.069785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.040001</th>\n",
       "      <td>0.131111</td>\n",
       "      <td>0.012369</td>\n",
       "      <td>0.037974</td>\n",
       "      <td>0.164794</td>\n",
       "      <td>0.066708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.045001</th>\n",
       "      <td>0.118528</td>\n",
       "      <td>0.068359</td>\n",
       "      <td>0.046336</td>\n",
       "      <td>0.058617</td>\n",
       "      <td>0.049860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.050001</th>\n",
       "      <td>0.114787</td>\n",
       "      <td>0.097923</td>\n",
       "      <td>0.058121</td>\n",
       "      <td>0.206908</td>\n",
       "      <td>0.038743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.055001</th>\n",
       "      <td>0.126657</td>\n",
       "      <td>0.024536</td>\n",
       "      <td>0.052058</td>\n",
       "      <td>0.111450</td>\n",
       "      <td>0.032939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.060001</th>\n",
       "      <td>0.115148</td>\n",
       "      <td>0.031906</td>\n",
       "      <td>0.050606</td>\n",
       "      <td>0.052278</td>\n",
       "      <td>0.054351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.065001</th>\n",
       "      <td>0.110716</td>\n",
       "      <td>0.019698</td>\n",
       "      <td>0.040249</td>\n",
       "      <td>0.067941</td>\n",
       "      <td>0.033749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.070001</th>\n",
       "      <td>0.104814</td>\n",
       "      <td>0.035228</td>\n",
       "      <td>0.039013</td>\n",
       "      <td>0.054037</td>\n",
       "      <td>0.045924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.075001</th>\n",
       "      <td>0.096592</td>\n",
       "      <td>0.028601</td>\n",
       "      <td>0.060778</td>\n",
       "      <td>0.041049</td>\n",
       "      <td>0.036469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.080001</th>\n",
       "      <td>0.280936</td>\n",
       "      <td>0.018547</td>\n",
       "      <td>0.041049</td>\n",
       "      <td>0.033377</td>\n",
       "      <td>0.049285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.085001</th>\n",
       "      <td>0.101168</td>\n",
       "      <td>0.046217</td>\n",
       "      <td>0.083156</td>\n",
       "      <td>0.041195</td>\n",
       "      <td>0.043128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.090001</th>\n",
       "      <td>0.102098</td>\n",
       "      <td>0.028036</td>\n",
       "      <td>0.036125</td>\n",
       "      <td>0.041976</td>\n",
       "      <td>0.035341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.095001</th>\n",
       "      <td>0.098209</td>\n",
       "      <td>0.014900</td>\n",
       "      <td>0.039268</td>\n",
       "      <td>0.034525</td>\n",
       "      <td>0.045848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.100001</th>\n",
       "      <td>0.107986</td>\n",
       "      <td>0.048795</td>\n",
       "      <td>0.053141</td>\n",
       "      <td>0.035355</td>\n",
       "      <td>0.032542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.105001</th>\n",
       "      <td>0.069311</td>\n",
       "      <td>0.034264</td>\n",
       "      <td>0.038380</td>\n",
       "      <td>0.017720</td>\n",
       "      <td>0.050577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.110002</th>\n",
       "      <td>0.105934</td>\n",
       "      <td>0.017720</td>\n",
       "      <td>0.074007</td>\n",
       "      <td>0.019672</td>\n",
       "      <td>0.060754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.115002</th>\n",
       "      <td>0.082049</td>\n",
       "      <td>0.054534</td>\n",
       "      <td>0.051971</td>\n",
       "      <td>0.029411</td>\n",
       "      <td>0.033481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.120002</th>\n",
       "      <td>0.077208</td>\n",
       "      <td>0.020469</td>\n",
       "      <td>0.051942</td>\n",
       "      <td>0.028810</td>\n",
       "      <td>0.041737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.125002</th>\n",
       "      <td>0.046054</td>\n",
       "      <td>0.033422</td>\n",
       "      <td>0.028653</td>\n",
       "      <td>0.030150</td>\n",
       "      <td>0.054277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.130002</th>\n",
       "      <td>0.094868</td>\n",
       "      <td>0.033764</td>\n",
       "      <td>0.054231</td>\n",
       "      <td>0.027092</td>\n",
       "      <td>0.043046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.135002</th>\n",
       "      <td>0.049930</td>\n",
       "      <td>0.030348</td>\n",
       "      <td>0.048052</td>\n",
       "      <td>0.018788</td>\n",
       "      <td>0.027731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.140002</th>\n",
       "      <td>0.049980</td>\n",
       "      <td>0.037656</td>\n",
       "      <td>0.032171</td>\n",
       "      <td>0.019442</td>\n",
       "      <td>0.033779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.145002</th>\n",
       "      <td>0.057801</td>\n",
       "      <td>0.032296</td>\n",
       "      <td>0.054157</td>\n",
       "      <td>0.025826</td>\n",
       "      <td>0.050468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.150002</th>\n",
       "      <td>0.075425</td>\n",
       "      <td>0.019875</td>\n",
       "      <td>0.077440</td>\n",
       "      <td>0.025690</td>\n",
       "      <td>0.014629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.854998</th>\n",
       "      <td>0.076053</td>\n",
       "      <td>0.020149</td>\n",
       "      <td>0.066038</td>\n",
       "      <td>0.046368</td>\n",
       "      <td>0.037014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.859998</th>\n",
       "      <td>0.027092</td>\n",
       "      <td>0.037483</td>\n",
       "      <td>0.024739</td>\n",
       "      <td>0.038484</td>\n",
       "      <td>0.031081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.864998</th>\n",
       "      <td>0.027532</td>\n",
       "      <td>0.051020</td>\n",
       "      <td>0.034059</td>\n",
       "      <td>0.051157</td>\n",
       "      <td>0.010296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.869998</th>\n",
       "      <td>0.019105</td>\n",
       "      <td>0.022226</td>\n",
       "      <td>0.048374</td>\n",
       "      <td>0.049719</td>\n",
       "      <td>0.016031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.874998</th>\n",
       "      <td>0.027514</td>\n",
       "      <td>0.022405</td>\n",
       "      <td>0.013077</td>\n",
       "      <td>0.050339</td>\n",
       "      <td>0.035861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.879998</th>\n",
       "      <td>0.016155</td>\n",
       "      <td>0.012247</td>\n",
       "      <td>0.040890</td>\n",
       "      <td>0.027203</td>\n",
       "      <td>0.031064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.884998</th>\n",
       "      <td>0.020905</td>\n",
       "      <td>0.030871</td>\n",
       "      <td>0.012530</td>\n",
       "      <td>0.035525</td>\n",
       "      <td>0.042107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.889998</th>\n",
       "      <td>0.023108</td>\n",
       "      <td>0.050010</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.064078</td>\n",
       "      <td>0.028018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.894999</th>\n",
       "      <td>0.026646</td>\n",
       "      <td>0.022405</td>\n",
       "      <td>0.032342</td>\n",
       "      <td>0.053301</td>\n",
       "      <td>0.021954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.899999</th>\n",
       "      <td>0.022583</td>\n",
       "      <td>0.040706</td>\n",
       "      <td>0.010050</td>\n",
       "      <td>0.035735</td>\n",
       "      <td>0.051127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.904999</th>\n",
       "      <td>0.010440</td>\n",
       "      <td>0.009110</td>\n",
       "      <td>0.047212</td>\n",
       "      <td>0.040237</td>\n",
       "      <td>0.017493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.909999</th>\n",
       "      <td>0.049890</td>\n",
       "      <td>0.014353</td>\n",
       "      <td>0.026192</td>\n",
       "      <td>0.067060</td>\n",
       "      <td>0.029479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.914999</th>\n",
       "      <td>0.008602</td>\n",
       "      <td>0.030887</td>\n",
       "      <td>0.049000</td>\n",
       "      <td>0.052716</td>\n",
       "      <td>0.018547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.919999</th>\n",
       "      <td>0.106799</td>\n",
       "      <td>0.009695</td>\n",
       "      <td>0.027749</td>\n",
       "      <td>0.050379</td>\n",
       "      <td>0.042154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.924999</th>\n",
       "      <td>0.055009</td>\n",
       "      <td>0.034540</td>\n",
       "      <td>0.027604</td>\n",
       "      <td>0.033764</td>\n",
       "      <td>0.025417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.929999</th>\n",
       "      <td>0.051264</td>\n",
       "      <td>0.028758</td>\n",
       "      <td>0.024536</td>\n",
       "      <td>0.035665</td>\n",
       "      <td>0.043463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.934999</th>\n",
       "      <td>0.032772</td>\n",
       "      <td>0.035071</td>\n",
       "      <td>0.038601</td>\n",
       "      <td>0.052316</td>\n",
       "      <td>0.044204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.939999</th>\n",
       "      <td>0.017692</td>\n",
       "      <td>0.058387</td>\n",
       "      <td>0.024839</td>\n",
       "      <td>0.027803</td>\n",
       "      <td>0.024597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.944999</th>\n",
       "      <td>0.031639</td>\n",
       "      <td>0.022159</td>\n",
       "      <td>0.020469</td>\n",
       "      <td>0.037336</td>\n",
       "      <td>0.052735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.949999</th>\n",
       "      <td>0.039357</td>\n",
       "      <td>0.014697</td>\n",
       "      <td>0.047802</td>\n",
       "      <td>0.035014</td>\n",
       "      <td>0.024413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.954999</th>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.011446</td>\n",
       "      <td>0.031016</td>\n",
       "      <td>0.034554</td>\n",
       "      <td>0.045442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.959999</th>\n",
       "      <td>0.011832</td>\n",
       "      <td>0.015264</td>\n",
       "      <td>0.041964</td>\n",
       "      <td>0.023791</td>\n",
       "      <td>0.019519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.965000</th>\n",
       "      <td>0.028460</td>\n",
       "      <td>0.027911</td>\n",
       "      <td>0.036180</td>\n",
       "      <td>0.027185</td>\n",
       "      <td>0.049800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.970000</th>\n",
       "      <td>0.039661</td>\n",
       "      <td>0.044520</td>\n",
       "      <td>0.061814</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.059674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.975000</th>\n",
       "      <td>0.038288</td>\n",
       "      <td>0.039573</td>\n",
       "      <td>0.030692</td>\n",
       "      <td>0.029428</td>\n",
       "      <td>0.031000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.980000</th>\n",
       "      <td>0.019925</td>\n",
       "      <td>0.009849</td>\n",
       "      <td>0.045144</td>\n",
       "      <td>0.009539</td>\n",
       "      <td>0.038131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.985000</th>\n",
       "      <td>0.056480</td>\n",
       "      <td>0.008944</td>\n",
       "      <td>0.022825</td>\n",
       "      <td>0.011533</td>\n",
       "      <td>0.034655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.990000</th>\n",
       "      <td>0.031922</td>\n",
       "      <td>0.010050</td>\n",
       "      <td>0.038652</td>\n",
       "      <td>0.017117</td>\n",
       "      <td>0.057801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.995000</th>\n",
       "      <td>0.076033</td>\n",
       "      <td>0.027368</td>\n",
       "      <td>0.016310</td>\n",
       "      <td>0.015843</td>\n",
       "      <td>0.010100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360.000000</th>\n",
       "      <td>0.022450</td>\n",
       "      <td>0.019026</td>\n",
       "      <td>0.031193</td>\n",
       "      <td>0.011916</td>\n",
       "      <td>0.044654</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>71999 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              1                    2                    3  \\\n",
       "           Norm of Displacement Norm of Displacement Norm of Displacement   \n",
       "Time (s)                                                                    \n",
       "0.005000               0.124844             0.034771             0.090807   \n",
       "0.010000               0.140093             0.022672             0.054900   \n",
       "0.015000               0.127550             0.023937             0.059515   \n",
       "0.020000               0.144433             0.024372             0.026115   \n",
       "0.025000               0.128860             0.030822             0.060581   \n",
       "0.030000               0.392548             0.101459             0.120967   \n",
       "0.035000               0.131370             0.022361             0.036455   \n",
       "0.040001               0.131111             0.012369             0.037974   \n",
       "0.045001               0.118528             0.068359             0.046336   \n",
       "0.050001               0.114787             0.097923             0.058121   \n",
       "0.055001               0.126657             0.024536             0.052058   \n",
       "0.060001               0.115148             0.031906             0.050606   \n",
       "0.065001               0.110716             0.019698             0.040249   \n",
       "0.070001               0.104814             0.035228             0.039013   \n",
       "0.075001               0.096592             0.028601             0.060778   \n",
       "0.080001               0.280936             0.018547             0.041049   \n",
       "0.085001               0.101168             0.046217             0.083156   \n",
       "0.090001               0.102098             0.028036             0.036125   \n",
       "0.095001               0.098209             0.014900             0.039268   \n",
       "0.100001               0.107986             0.048795             0.053141   \n",
       "0.105001               0.069311             0.034264             0.038380   \n",
       "0.110002               0.105934             0.017720             0.074007   \n",
       "0.115002               0.082049             0.054534             0.051971   \n",
       "0.120002               0.077208             0.020469             0.051942   \n",
       "0.125002               0.046054             0.033422             0.028653   \n",
       "0.130002               0.094868             0.033764             0.054231   \n",
       "0.135002               0.049930             0.030348             0.048052   \n",
       "0.140002               0.049980             0.037656             0.032171   \n",
       "0.145002               0.057801             0.032296             0.054157   \n",
       "0.150002               0.075425             0.019875             0.077440   \n",
       "...                         ...                  ...                  ...   \n",
       "359.854998             0.076053             0.020149             0.066038   \n",
       "359.859998             0.027092             0.037483             0.024739   \n",
       "359.864998             0.027532             0.051020             0.034059   \n",
       "359.869998             0.019105             0.022226             0.048374   \n",
       "359.874998             0.027514             0.022405             0.013077   \n",
       "359.879998             0.016155             0.012247             0.040890   \n",
       "359.884998             0.020905             0.030871             0.012530   \n",
       "359.889998             0.023108             0.050010             0.000000   \n",
       "359.894999             0.026646             0.022405             0.032342   \n",
       "359.899999             0.022583             0.040706             0.010050   \n",
       "359.904999             0.010440             0.009110             0.047212   \n",
       "359.909999             0.049890             0.014353             0.026192   \n",
       "359.914999             0.008602             0.030887             0.049000   \n",
       "359.919999             0.106799             0.009695             0.027749   \n",
       "359.924999             0.055009             0.034540             0.027604   \n",
       "359.929999             0.051264             0.028758             0.024536   \n",
       "359.934999             0.032772             0.035071             0.038601   \n",
       "359.939999             0.017692             0.058387             0.024839   \n",
       "359.944999             0.031639             0.022159             0.020469   \n",
       "359.949999             0.039357             0.014697             0.047802   \n",
       "359.954999             0.025000             0.011446             0.031016   \n",
       "359.959999             0.011832             0.015264             0.041964   \n",
       "359.965000             0.028460             0.027911             0.036180   \n",
       "359.970000             0.039661             0.044520             0.061814   \n",
       "359.975000             0.038288             0.039573             0.030692   \n",
       "359.980000             0.019925             0.009849             0.045144   \n",
       "359.985000             0.056480             0.008944             0.022825   \n",
       "359.990000             0.031922             0.010050             0.038652   \n",
       "359.995000             0.076033             0.027368             0.016310   \n",
       "360.000000             0.022450             0.019026             0.031193   \n",
       "\n",
       "                              4                    5  \n",
       "           Norm of Displacement Norm of Displacement  \n",
       "Time (s)                                              \n",
       "0.005000               0.083893             0.072787  \n",
       "0.010000               0.083982             0.082347  \n",
       "0.015000               0.076505             0.055812  \n",
       "0.020000               0.071868             0.052517  \n",
       "0.025000               0.081406             0.055480  \n",
       "0.030000               0.083624             0.400477  \n",
       "0.035000               0.051313             0.069785  \n",
       "0.040001               0.164794             0.066708  \n",
       "0.045001               0.058617             0.049860  \n",
       "0.050001               0.206908             0.038743  \n",
       "0.055001               0.111450             0.032939  \n",
       "0.060001               0.052278             0.054351  \n",
       "0.065001               0.067941             0.033749  \n",
       "0.070001               0.054037             0.045924  \n",
       "0.075001               0.041049             0.036469  \n",
       "0.080001               0.033377             0.049285  \n",
       "0.085001               0.041195             0.043128  \n",
       "0.090001               0.041976             0.035341  \n",
       "0.095001               0.034525             0.045848  \n",
       "0.100001               0.035355             0.032542  \n",
       "0.105001               0.017720             0.050577  \n",
       "0.110002               0.019672             0.060754  \n",
       "0.115002               0.029411             0.033481  \n",
       "0.120002               0.028810             0.041737  \n",
       "0.125002               0.030150             0.054277  \n",
       "0.130002               0.027092             0.043046  \n",
       "0.135002               0.018788             0.027731  \n",
       "0.140002               0.019442             0.033779  \n",
       "0.145002               0.025826             0.050468  \n",
       "0.150002               0.025690             0.014629  \n",
       "...                         ...                  ...  \n",
       "359.854998             0.046368             0.037014  \n",
       "359.859998             0.038484             0.031081  \n",
       "359.864998             0.051157             0.010296  \n",
       "359.869998             0.049719             0.016031  \n",
       "359.874998             0.050339             0.035861  \n",
       "359.879998             0.027203             0.031064  \n",
       "359.884998             0.035525             0.042107  \n",
       "359.889998             0.064078             0.028018  \n",
       "359.894999             0.053301             0.021954  \n",
       "359.899999             0.035735             0.051127  \n",
       "359.904999             0.040237             0.017493  \n",
       "359.909999             0.067060             0.029479  \n",
       "359.914999             0.052716             0.018547  \n",
       "359.919999             0.050379             0.042154  \n",
       "359.924999             0.033764             0.025417  \n",
       "359.929999             0.035665             0.043463  \n",
       "359.934999             0.052316             0.044204  \n",
       "359.939999             0.027803             0.024597  \n",
       "359.944999             0.037336             0.052735  \n",
       "359.949999             0.035014             0.024413  \n",
       "359.954999             0.034554             0.045442  \n",
       "359.959999             0.023791             0.019519  \n",
       "359.965000             0.027185             0.049800  \n",
       "359.970000             0.020833             0.059674  \n",
       "359.975000             0.029428             0.031000  \n",
       "359.980000             0.009539             0.038131  \n",
       "359.985000             0.011533             0.034655  \n",
       "359.990000             0.017117             0.057801  \n",
       "359.995000             0.015843             0.010100  \n",
       "360.000000             0.011916             0.044654  \n",
       "\n",
       "[71999 rows x 5 columns]"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "disp_norms_group[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 540
    },
    "colab_type": "code",
    "id": "7I8rp80PIqyK",
    "outputId": "a1fa5757-6a08-4bac-bc18-544651b2a7b9"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distance travelled for all participants, Group 1')"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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bWzu+/ro3GzYE4+e3GIC8vDxGjHDD1tZOZn9z85aMGzcBAENDQ06dOomZmQWu\nriMBkJOTY/JkD/766zFNm5qUq3xzcwsAqlevKf27rHR0dAGIj4+ncWPZtOvXr6GqqsagQS4oKytj\nZWWNkpIiCgqyH8uePXsxcqQ7ADY2tgwY8BU7d27j//5vdpHyXr16ybBhoxgwYBAAVlbWpKQkExCw\nnPT0dNTV1dm0aT3W1q2l+9va2hEfH8+NG1cBWLcuiObNzZkzxx+Atm3boaWlxfz5cxg82IVatWr/\n3S7V8fH5Djk5OczNLThwYB+GhtXx9CzogaxVqzYDB/bi7t3b1KxZk7CwUPT09FmyZCVKSkoA1KtX\nn/Hj3YiKisTSshUA8vIKLFq0HBUVFQwNq3HlyjUOHNgPQJ06ddHR0eXFi+dFzomxsSkbNoTw4sUL\natasWdZTJQiC8K8Tl5RByIGb3H+a9M5tRUBXxbx48Yy2bdtVeDn29g506uRMSMgaOnTohIaGhkx6\nVNQVGjVqLA2mAJSUlHBwcOTXXw/LbFu/foMi+Tdvbib9W1dXHwBT0+bS97S1tYGC1bXFKUv5FaVF\nC0syMtIZPnwQTk5daNfOnh49vkJOTk5mu86du8rU0dbWjitXLheb5+TJUwFISEjgyZNoHj+O5uzZ\nMwDk5GSTlSXPvXt3mTjxG5n9PDwmApCZmcmtW3/i5uZBbm6uNN3Wth35+flERkbQo8eXQEF7F9ZV\nRUUVdXV1TE2bSffR0io4B6mpBefgypXLdOjggJycnDRvMzMLNDQ0uHz5kjSga9KkKSoqKtJ8DA2r\nk5mZ8c72rFmzFlBwjYuAThCET92zuDSW7Y7idXIW2hrKDHR6e8eLCOjKoTw9Y/8WqampqKiofpSy\nJk+extCh/Vi61J/vvpsnk5aSklLs8K6urj5paWlvvFd0OzU19SLvqaqW/rjKUv77KJz7Vb169SJp\nLVta4u+/lF27trFly0bCwkKpVasOU6d6y/RI6usbyOyno6NLcnJyseU9fhzNwoXzuHYtClVVVZo0\nMUZdvSCYlkiQ7qejU/zQekpKMvn5+QQHryY4eHWR9H8uOlBXL3oO3nZtJSUl8tNP+/jpp31F0uLi\n/pfvm+dRXl6+VPedK9wvNTX1ndsKgiD8m939K5GAH66RlplLkzraTOrfAg1VpbfuIwK6KkZbW5u0\ntI/zhWdgYMC4cRNZvHg+x479KpOmpaXFkyfRRfZ5/Tpe2rtWkT5W+ZGREaioqGBmZkZqam6RdHv7\njtjbdyQ1NZXz58+yadN6Zs/24cCB/80FS0pKQk9PX/o6IeE1urq6RfLKz89nxgwvtLS02bx5Jw0b\nNkZeXp59+/Zw8WI4gLSnNDHZ4+O9AAAgAElEQVQxQWbfV69eEhPzF8bGBcPxw4aNokMHhyJlGBgY\nlqMVCmhqamJv70Dv3v2KpGlr65Q730IpKcl/51Xx148gCEJFyMjK5cczDzl+OQaJBKyaGjDmSzOU\nlRTeua9YFFHFVK9eg9jYlx+tvC+/7E3LllasXRsg836LFpY8evSQ6OhH0vdycnI4ffokFhYV3wP6\nMcp/8iSaU6dO0LXr5zK3iCm0fn0w7u7DgYJgp3Pnbgwe7EpqaqpML+G5c2ekf2dnZ3P+/DlatSq6\n6jYxMYGYmL/48sveNG7cBHn5go/3hQvngIIVsOrqGhgZNZHJE2Dv3l3MnTsLDQ0NmjQx5unTGExN\nm0v/KSoqsXbtal6+LP+106KFJU+eRGNi0kyab/XqNQgKWs3Dhw9KnU/hcb0pNragN7RGDTHcKgjC\np0UikRBx+xXfrjvPsYgY5JDjM9v6ePQ2L1UwB6KHrsqxtm5TrqdAJCQk8PRpDI0aNZLeJLc05OTk\nmD79W0aMGCzzfo8ePdm9ewfTpk3CzW0cGhqa7N69nYSE19KFDRXpQ5cfE/MXN24UrGTNysrk3r07\n7NixBQMDQ9zdi7/ZbatWNoSFhbJw4TycnbuSkpLM5s0baNHCEl1dXR79HWuGhYWiqKhI/foN2LNn\nJxkZGQwe7FokP11dPWrUqMmePTvQ1dVDQUGBI0cOce7cH9J6QcFK0VmzvFm40A8nJ2cePLjP3r07\n8fCYiJycHKNHj8HHZyqampp07OhIYmIi69YFIS8vh5FR+RfPDBs2mnHjRjJrljc9enxJdnY2mzaF\n8urVS4yNiy5cKYmmZjViY19x6dJ5TEyao6WlBcCNG9do0KDhW+8XKAiC8G+TnJbN9mN3uXjrFQCN\na2vh2s2E+jVK/10LIqCrchwcHNm6NYynT2OK3LrkbcLD/2D+/DmsWrWWhg1rlanMBg0a4uo6ktDQ\ntdL31NU1CAwMITBwBcuWLSQvLw8zMwtWrw6RDvtVpA9dfnBwoPRvJSUlatSoibNzV1xdR6GjU/xw\nopWVNb6+fmzdGsbRo7+grKyCnV07PD29ZLYbP34Se/fu5vnzpzRvbk5gYEixT62Qk5PDz28xK1Ys\nZvZsHzQ0NGjWzIwVK9YwadI4bty4Rs2atXB07MzcuQvYtCmUX345RI0aNRk/fhJ9+w4ECha0+Psv\nJSwslMOHD6KurkHr1raMHetZpnmKbzI1bcbKlUGEhKxh5szpKCurYGHRkpkz52JoWHSOYUm++qoP\n586dYfp0L2bOnIOzc8GikUuXztOxo2O56ycIgvCx3X6cQOCP10nLzEVVWYH+jk1wsKyN/BuL40pD\nTlLFn3IdG1v8Ksj/Mk9Pd1q0sMTd3aNM+33//Xf07t0fR8d2VbLd3oehYbUyt1lkZAQTJ44lNHSz\nzAreqqS07Xbnzm3GjRvFnj0/FVlEUtWU51oTRLuVh2iz8jE0rMbzF0n8HP6YA388QgI0a6DLkC7G\n1DbQeOe+JRFz6Kogd3cPDh36ifT00q/mfPToIbdv36RJk6YVWDNBKJ9du7bRr9+AKh/MCYLw73f3\nSQJzwy7x0x8F82q+aNeAbwa2fGcw9y4ioKuCWrSwpHPnrmzfvqXU++jq6rFs2er3GnIThIpw794d\n7ty5xahRYyq7KoIgCCWSSCScu/Ec78A/iIlNw0BbFa+BLenT0QiFEhZ7lYUYchXdxWUmutnLTrRZ\n+Yh2KzvRZuUj2q3sRJuV3uvkTDb/ekf6lKmOLWsxuLNxqVewFnrbkKtYFCEIgiAIglABJBIJZ649\nZ9eJe2Rk5aGmooh7L3NaNNQt8lSg9yUCOkEQBEEQhA8sNjGDsCO3ufW44Ebulk0McOlmgnFjgwrp\n2RQBnSAIgiAIwgeSL5Fw4nIMP5x6SFZOHppqSgzpYkybZtU/eK/cP4mAThAEQRAE4QNIz8xh9b7r\n3H6SCECbZtUZ3NkYLQ3lCi9bBHSCIAiCIAjvKTYxg6W7oniVkIGWhjIuXU2wNin/86/LSgR0giAI\ngiAI7+Hagzg2/XKHhJQs6lXXZEIfCwx0ij7DuyKJgE4QhE+ORCKp0LkogiAIpfEqIZ0dx+5x9e/b\nkRjX1WZS/5aoqXz88ErcWLiKCgxcyfr1wdLX169fZcKEMXz2WSe++uozvv/+O16/ji9Tnn5+vnTo\n0JqoqMgiaSkpKdjb23D48MH3rvvH9Ouvh+nduztOTu3Ztm1TkfTnz59hb28j88/R0Y7+/b9k6dKF\nJCS8ltne09Od6dMnf7D6HT58EHt7GxITEz9Ynv92V69GMXPmdOnre/fu4uIygOzs7EqslSAIVUlO\nbh77zzxkZugFrj6IR1VZga+dmjB1kFWlBHMgeuiqpFu3/uTo0V/YsWMfANHRj5g0yYPWrdswe7Yf\nKSkphIYG8c03EwgN3YyiYukvE4lEwqJFfoSF7UBZueIngVa0lSuX0rSpMSNGuFG7dp0StxszZjxW\nVjYAZGVl8uDBfTZv3kB4+B8EB2+U3gxyyhRvFBTE76j3cejQfp48eSx93bSpMaamzdm4cR1jxoyv\nxJoJglAV3HmSwOZf7/A8Ph2AduY16d/JCG1NlQotV5Kb+9Z0EdBVQUFBAfTu3Q81tYLx/R9+2I2+\nvgF+foulwVu9evVwcxvGpUvnsbOzL3Xe6uoaxMT8RVhYKO7uHhVS/48pOTkJW1s7LC1bvXW7unXr\nYW5uIX1tbd0aG5s2uLm5smbNKlatWg5Ao0aNK7S+VdWQIcMYOXII/foNFM9zFQShQiSmZrH7xH3O\n33wJQE09dYZ/bopxPZ0KLzv71SueLl9M9dC1JW4jAroq5u7d20RGRjBjxkzpe40aNaZhw0YyPXH1\n6zcA4NmzZ2XKv0aNGlhZWbN9+2Y6d+5K48ZNStw2MTGR4ODVnD9/juTkJMzMLPDwmIipaXOgYDgx\nMHAFQ4YMY+vWTaiqqrJt2166dOmAt/cswsP/4MKFcDQ0NBk+fDT29h1ZtMiPK1cuY2BQnUmTpmBn\n175c5UdGRjBx4lgA1qxZxZo1q/jjj4gytUXjxkZ06uTM8eO/kZ5e8EvO09MddXV1Fi1aAcCRI4fY\ntm0zz57FoK2tg6OjM2PGeKKioiKtw7Jlq1m7NoDo6GgaNWqMh8dErK1bF1umRCJhz56dHDq0n5iY\nv1BQUMTMzJwJE77ByOh/5+LUqRNs3ryR6OiH6Onp07NnL1xcRkjnpV26dJ6QkCAePLiPtrY2PXp8\nyYgRbigoFDympl+/nvTq1ZenT2M4ceIoioqK9OkzgIEDh7Bs2ULOnPkdLS1tRo0aQ/fuPaXl3r59\ni6CgVdy4cQ01NTWcnbsybtxE6TOCPT3dMTExRVlZhZ9/PkB6ehqtW9syZYo3BgaG+Pn5cuTIIQDs\n7W1YtWotrVrZ0LBhI+rVa8DevbtEL50gCB+URCLhRORTfjj1gMzsPJQU5enRtgGft22AkmLFjrhI\nJBJSws/xaud28tPT3rrtRx37efDgAcOHD8fKygpHR0dCQ0OlaU+fPmXkyJFYWlry+eefc+rUKZl9\nz58/T8+ePWnZsiUuLi48fvxYJn3Lli107NgRKysrfHx8pF+ggqxjx37FyKgpderUlb7Xp09/+vYd\nILPd2bNnAGjQoGGZyxg71hM9PX0WLJhHfn5+sdukp6czduxIIiIuMnasJ3Pm+CORSBg/3o0HD+5L\nt0tNTeW3335h9ux5TJjgJe1VDAhYRt269Vm4cDnm5hYsX76IyZM9sLBoib//UqpV02Tu3FlkZmaW\nq3wTE1PWrt0IQL9+A6V/l5WNTRtyc3O5fv16kbSoqEj8/efSpUs3li4NwNV1JPv372PjxnUy2/n6\nfou9vQN+fgvR0dFl6tSJPHx4v0h+ADt2bGXt2gC++KIXS5cG4OU1jejoR/j5+Uq3+f3343z77XSM\njJowf/4S+vUbyIYNIWzdWjBHMCLiIlOnTqJ27drMn7+YQYNc2LlzKytWLJEpa/PmjeTl5TF//hIc\nHbuwceM63Nxc0dPTx99/KY0bG7FokR8vXrwA4NGjh3h6ugFyzJ27gLFjJ3D8+FG++85bJt+ffz7A\nzZt/4uMzC19fXyIjI1i1ahkAw4ePxs6uPbVr12Ht2o2YmJhK93NwcOT48d9Kd2IEQRBKIT4pk2W7\nr7Lt6F0ys/NoaaTPvNG2fGnfqMKDueyXL3m6bAkvNqwjPz0NdTPzt27/0XrocnJycHNzw9bWljlz\n5vDw4UOmTJlC9erV6dmzJx4eHhgZGbF3715OnDjBxIkTOXToEPXq1eP58+eMGzcODw8PHB0dCQwM\nxMPDg4MHDyIvL89vv/3GihUrWLRoEdWrV8fHx4cFCxYwd+7cCjmWNVc38Gf87QrJu7TM9E3xaDmy\nzPtFRl6W+RIszsuXLwgMXIGpafMSe4LeRl1dg2++mY639xR++GE3/ft/XWSbw4cP8OxZDJs27ZQO\nQ9ra2vH1173ZsCEYP7/FAOTl5TFihBu2tnYy+5ubt2TcuAkAGBoacurUSczMLHB1LWgTOTk5Jk/2\n4K+/HtO0qUm5yi8cQq1evabMcGpZ6OjoAhAfH0/jN0Zbr1+/hqqqGoMGuaCsrIyVlTVKSoooKMh+\nLHv27MXIke4A2NjYMmDAV+zcuY3/+7/ZRcp79eolw4aNYsCAQQBYWVmTkpJMQMBy0tPTUVdXZ9Om\n9Vhbt5bub2trR3x8PDduXAVg3bogmjc3Z84cfwDatm2HlpYW8+fPYfBgF2rVqv13u1THx+c75OTk\nMDe34MCBfRgaVsfTs2DRR61atRk4sBd3796mZs2ahIWFoqenz5IlK1FSUgKgXr36jB/vRlRUpHRY\nW15egUWLlqOiooKhYTWuXLnGgQP7AahTpy46Orq8ePG8yDkxNjZlw4YQXrx4Qc2aNct6qgRBEKQk\nEgmnop6x6+R9srLz0FBVZNhnptiYVq/4svPzSTz2G3E//oAkJwd5DQ0MBwxCq13JI07wEQO6ly9f\n0qJFC2bPno2qqioNGjSgXbt2XLp0CUNDQx49esS2bdvQ1NSkSZMmnDt3jr179+Ll5cXu3bsxNTXF\nzc0NgPnz59O+fXvOnz9Pu3bt2LRpE0OHDsXZ2RkAX19fRowYwYwZM9DQ0PhYh/hJePHiGW3btisx\n/eXLF0ya5EF+voQ5c+aX+9YQ9vYOdOrkTEjIGjp06FTkPERFXaFRo8Yyc8qUlJRwcHDk118Py2xb\nOPz7T82bm0n/1tXVB5AO1QJoa2sDBatri1OW8itKixaWZGSkM3z4IJycutCunT09enxVpM07d+4q\nU0dbWzuuXLlcbJ6TJ08FICEhgSdPonn8OFra25qTk01Wljz37t1l4sRvZPbz8JgIQGZmJrdu/Ymb\nmwe5/5iAa2vbjvz8fCIjI+jR40ugoL0L66qiooq6ujqmps2k+2hpFZyD1NSCc3DlymU6dHBATk5O\nmreZmQUaGhpcvnxJGtA1adIUFZX/TS42NKxOZmbGO9uzZs1aQME1LgI6QRDKKzktmw2Hb3Ht71uR\nWJsYMrSrCdof4WkPuUmJvAzbQNr1awBUa2tH9YGDUahW7Z37frSArm7duqxYUTBvSCKREBkZyaVL\nl5g9ezZXr16lefPmaGpqSre3trYmIqJgztLVq1dp3fp/PUVqamqYmZlx5coVbG1tuX79OuPGjZOm\nW1pakpeXx61bt7Cxsfngx1KenrF/i9TUVFRUVItNe/jwPlOnTiI3N5flywNlhmXLY/LkaQwd2o+l\nS/357rt5MmkpKSno6uoV2UdXV5+0tLQ33iu6nZqaepH3CudhlUZZyn8fcXGxQEFv1ptatrTE338p\nu3ZtY8uWjYSFhVKrVh2mTvWW6ZF8c5K/jo4uycnJxZb3+HE0CxfO49q1KFRVVWnSxBh19YJgWiJB\nup+OTtFjB0hJSSY/P5/g4NUEB68ukh4fHyf9W1296Dko6doCSEpK5Kef9vHTT/uKpMXF/S/fN8+j\nvLw8EomkxHzf3C81NfWd2wqCILxJIpEQ/ucLdp24T0p6Dhqqirh0M6FNsxofpfzkC+G82rGN/NRU\n5NXVqTnSDU1Lq1LvXymLIjp27MirV69wdHSkW7duzJ8/v8gXnr6+vnTuTWxsbLHpL1++JDk5mays\nLJl0RUVFdHR0pPsL/6OtrU1aWtEvvD//vMGUKRPQ1NQkMHAd9erVf++yDAwMGDduIosXz+fYsV9l\n0rS0tHjyJLrIPq9fx0t71yrSxyo/MjICFRUVzMzMSE0tuuTc3r4j9vYdSU1N5fz5s2zatJ7Zs304\ncOB/c8GSkpLQ09OXvk5IeI2urm6RvPLz85kxwwstLW02b95Jw4aNkZeXZ9++PVy8GA4g7SlNTEyQ\n2ffVq5fExPyFsXHBcPywYaPo0MGhSBkGBuV/jI2mpib29g707t2vSJq29vuvEktJSf47r4q/fgRB\n+G958jKFrUfvcj8mCQDT+jqM/qI5elql7ygor5yEBOL27CTl4gUA1M3MqTF8FErF/D//NpUS0K1Z\ns4ZXr17h6+uLv78/GRkZ0jk1hZSVlcnJyQEgIyOjyD3NlJWVyc7Olk56Lyn9XQrvD1ZV1K5dm+Tk\n1zLH/ddffzF9+iSqVzckLCyMGjXe/WukuHZTVVVCUVFBJm3UKFdOnvxN2ttTrZoqhobVaNfOllOn\nTpCc/AojIyMAsrOzOXv2FDY2NhgaVqNatYIPkr6+Bnp6suVpaqpIy1FRkcjkDRAXVxC46OioF1vX\n0pRfXFlvysoqKEdLS63INg8fPuTUqRN89dVXqKmpoaYGysqKKCsrYmhYjYCAAM6cOcPu3bsxNKxG\no0b9UFVVwNvbGzU1OXR0CnrArl69SJs2LaV1vHgxHGdn5yJtlJ+fQ0zMX/j5jcXW9n+/6q5cufiP\ndtTD2NiYiIhwxo93l24TFraWAwcOcPr0aUxNTYmPf0mHDrbS9Nu3b7Nw4UImT56MoWFjFBTkUVNT\nljlmOTk5NDRKPi82NjY8e/YX9vZtpEO1cXFxTJ06lWHDhtGihYlM+xTS0CgYfi18T11dpch1VtBO\nBT9UmjdvUuU+12+q6sdfXqLdyu6/0GY/nLjHpsM3kUhAp5oKI75oTqdW9ZCXr7in0RgaViM/O5un\n+w8Qs3cf+VlZyCsr02j0CGp07VKu6U6VEtBZWBRMZs7MzGTGjBn07du3yDBJdna2dAhFRUWlSHCW\nnZ2Njo6OdK5NcemlGYKLjS1+jtV/VcuW1pw8eUzmuH1955KamsrkydO4efMBN28+kKbVrFkLAwMD\nEhISePo0hkaNGtGwYa1i2y0zM4fc3LwiaV5e3owYMRiAlJRMYmNTcHDoyoYNYYwaNRo3t3FoaGiy\ne/d24uLiGDjQhdjYFFJSCoL1+Pg08vJkA/7U1CxpOSkpqTJ5AyQkFAybJiamF1vX0pRfXFlvev26\noJybN++ioqIFFNxY+N69O+zYsQUDA0NcXQsCp9jYFLKzc1FUzCU2NgUTEwsCAwOZOnUGzs5dSUlJ\nJiRkDS1aWJKXp0RiYsFK7cDAQLKy8qhfvwF79uwkLS2dPn0GFWkjbW1tatSoyYYNG1FUVEdBQYEj\nRw7x+++/A/D0aRx5eUq4uIxk1ixvpk71xsnJ+e+bIG/Gw2MicXGpDB/uho/PVBQVVejY0ZHExETW\nrQtCXl4OPb3axMamkJeXT0ZGtky7SCQS0tJKPi+DBg1n3LiRjB07nh49viQ7O5tNm0J59eolNWrU\nL9I+UPCfXlpalrT9ABQVVXn+/DmHDx/FxKQ5WloF7X727AUaNGiIgoJGlftc/5OhYbUqffzlJdqt\n7D71NsvJzWf7sbucinqGHNDZpi697BujrqpIfHzFTd0wMNDkwf7DxB/YT+7rgqcJabayxrD/1ygY\nGhIXV3LZbwugP+qiiBs3bkgXLgAYGRmRk5ODoaEhd+/eldk+Li4OQ8OC4Z0aNWoQGxtbJL1p06bS\noC4uLg5jY2MAcnNzSUxMLHbeUlXn4ODI1q1hPH0aQ506dcnNzSU8/Cx5eXnMmTOzyPYeHpMYPNiF\n8PA/mD9/DqtWraVhw1plKrNBg4a4uo4k9B83RFRX1yAwMITAwBUsW7aQvLw8zMwsWL06RDrsV5E+\ndPnBwYHSv5WUlKhRoybOzl1xdR2Fjk7xw4lWVtb4+vqxdWsYR4/+grKyCnZ27fD09JLZbvz4Sezd\nu5vnz5/SvLk5gYEhxT61Qk5ODj+/xaxYsZjZs33Q0NCgWTMzVqxYw6RJ47hx4xo1a9bC0bEzc+cu\nYNOmUH755RA1atRk/PhJ9O07EChY0OLvv5SwsFAOHz6IuroGrVvbMnasZ5nmKb7J1LQZK1cGERKy\nhpkzp6OsrIKFRUtmzpyLoWHpP6tffdWHc+fOMH26FzNnzsHZuWDRyKVL5+nY0bHc9RMEoeqITcxg\nzY83ePwyBUUFeUZ2N6WtWcUvpspLT+PusvXEnS5YrKZcpy7VBw1B/R8LyspLTlKa2cYfwLlz5xg9\nejRnzpxBX79gPtAPP/zAkiVLWLZsGR4eHpw9e1Y60XrYsGFYWlri5eXFypUriYiIYMuWLUDBEGz7\n9u0JCAigffv2DBkyhLZt2zJhQsFtLCIiIhgxYgTnz59/5yrXT/nXRXl5errTooVlmZ/k8P3339G7\nd38cHdtVyXZ7H+X5JVt4Y+HQ0M0yK3irktK22507txk3bhR79vxU5Z8U8an3mlQW0W5l96m22V+v\nUlm2O4qk1GwMtFUZ18ucRrW0KrRMiURC6uUIXu3YSl5SEnIqKtQYOoxqtm2Rky/9/eze1kP30W4s\n3Lp1a4yMjPD29ubBgwecPHmSpUuXMnbsWNq0aUPt2rXx9vbm3r17hISEcPXqVfr37w9A3759uXr1\nKkFBQdy/f59vv/2W2rVrY2dXsBJw8ODBbNiwgd9++43r168zZ84c+vbtK25ZUgJ3dw8OHfqJ9Hfc\ndfqfHj16yO3bN2nSpGkF1kwQymfXrm306zegygdzgiC83bkbz/HbHEFSajam9XXwHdG6woO5rGfP\neLpyGc/XBpKXlEQ1UxPqfzsbLbt2ZQrm3uWjDbkqKSkREhLCnDlz6N+/PxoaGgwbNgxXV1fk5ORY\ns2YN3377LX369KF+/fqsXr2aunULbptRt25dAgIC8Pf3Z+3atbRs2ZI1a9Yg/3dD9OjRg6dPn+Lr\n60t2djZdunTB29v7bdWp0lq0sKRz565s376F0aPHlmofXV09li1b/V5DboJQEe7du8OdO7eYMWNr\nZVdFEIR/qbTMHHYdv88f158D0M68JsM+M0FJUaHCyszPzCT+0AESfvsF8vORV1PDoE8/mvT7krj4\nD3d7rEIfbcj13+pT7C6ubJ9qN3tlEm1WPqLdyk60WfmIdiu7T6XN7j9NIvDH6ySlZqOoIM/QrsZ0\naFGr3DfOL42069d4uSWsYNGDnBzaHR3Q/6oPilpa79Vu/4pFEYIgCIIgCB9LRlYue35/wKkrT5EA\nTepoM/xzU2obVNx0rLzUVF7t2k5K+DkAVBo0pPoQV9TefPZjBRABnSAIgiAI/yk3o18TduQ2cUmZ\nKMjL0bV1PXp1aIySYsUtHUg6e4a4vbvJS0lBTkkJ/V590O3cFTmFihvW/ScR0AmCIAiC8J+Qm5fP\njuP3OBn5FID6NTQZ3aM5datrvmPP8pPk5RG7aweJJ44BoGZsQo1hI1EuxU36PyQR0AmCIAiC8MnL\nyc0n7Mgtwv98iaKCHF+2b8RntvVRVKi4Xrm81FRebFhH2rWryCkqUn2IC1r2HSt0fl5JREAnCIIg\nCMInLSc3n9X7rnP9YTzKivJM/dqKJnUr9rnO6Xfv8Dx4DXlJScirq1NnghdqTSvv1l4ioBMEQRAE\n4ZOVmpHDuoM3uf4wHk01JSb1b4FR7YoL5vKzsog/+JP0diRqTY2pOdINpb+fblVZREAnCMInRyKR\nVMqQhiAI/y4PnyWzet81ElOz0VBVZOrXltSvUfKtPd6HRCIhNeISsXt2Sm9HovtZdwz69PugNwgu\nr8qvgVApAgNXsn59sPT1+fPnGD3alc6d7fn6697s3buTst6i0M/Plw4dWhMVFVkkLSUlBXt7Gw4f\nPvjedf+Yfv31ML17d8fJqT3btm0qkv78+TPs7W1k/jk62tG//5csXbqQhITXMtt7erozffrkD1a/\nw4cPYm9vQ2Ji4gfL89/u6tUoZs6cLn19795dXFwGkJ2dXYm1EgThY4t5lcqyXVEkpmZjVEeLWcNs\nKiyYy3n9mpili3gevIbc169RqVefej4zMew34F8RzIHooauSbt36k6NHf2HHjn0A3LhxjRkzvOjW\nrTtjxozn7t3bBAQsJy8vj4EDh5Qpb4lEwqJFfoSF7UBZWbkiqv9RrVy5lKZNjRkxwo3ateuUuN2Y\nMeOxsrIBICsrkwcP7rN58wbCw/8gOHij9GaQU6Z4o1CBE3SrgkOH9vPkyWPp66ZNjTE1bc7GjesY\nM2Z8JdZMEISP5c6TBFbvu056Vi5WTQ3w6G2OQgUFVtmxr3i6bAk5sa9Q0KyGfu8+aHdw+NcEcoVE\nQFcFBQUF0Lt3P9TU1ADYtWs7jRoZ4ePzHXJycrRubcvjx9Hs27enzAGduroGMTF/ERYWiru7R0VU\n/6NKTk7C1tYOS8tWb92ubt16mJtbSF9bW7fGxqYNbm6urFmzilWrlgPQqFHF31yyKhoyZBgjRw6h\nX7+B4nmugvAflpefz9nrL9h+9C7ZuflYNTVg7FdmFRLMSfLySDx5nLh9e5FkZ6PSoCF1Jn+DYrWK\nffZreYmAroq5e/c2kZERzJgxU/qep+dkMjIyZOYkKSoqkpOTU+b8a9SogZWVNdu3b6Zz5640btyk\nxG0TExMJDl7N+fPnSE5OwszMAg+PiZiaNgcKhhMDA1cwZMgwtm7dhKqqKtu27aVLlw54e88iPPwP\nLlwIR0NDk+HDR2Nv3zdQlKAAACAASURBVJFFi/y4cuUyBgbVmTRpCnZ27ctVfmRkBBMnFjznds2a\nVaxZs4o//ogoU1s0bmxEp07OHD/+G+np6UDBkKu6ujqLFq0A4MiRQ2zbtplnz2LQ1tbB0dGZMWM8\nUVFRkdZh2bLVrF0bQHR0NI0aNcbDYyLW1q2LLVMikbBnz04OHdpPTMxfKCgoYmZmzoQJ32Bk9L9z\ncerUCTZv3kh09EP09PTp2bMXLi4jpNfApUvnCQkJ4sGD+2hra9Ojx5eMGOGGwt83yOzXrye9evXl\n6dMYTpw4iqKiIn36DGDgwCEsW7aQM2d+R0tLm1GjxtC9e09pubdv3yIoaBU3blxDTU0NZ+eujBs3\nUfqMYE9Pd0xMTFFWVuHnnw+Qnp5G69a2TJnijYGBIX5+vhw5cggAe3sbVq1aS6tWNjRs2Ih69Rqw\nd+8u0UsnCP9RD54lseH/2bvv+Jqv/4Hjr3szbmTfRKYRIyRkmU0RIxJaUqtWKTGjMYp+f2q0KFpC\nNWYRBImmdhVVW1sdqkakqBVkEDIlkpude+/vj8ttr9DKMHOej0cebj7jnJPzuZH3PfP7S9zJ0Px/\n6uPpwNA3XZFKK388bUFiAqlRkRTcuAGAWcvXsB00BD2Tp7fLREW9WO2FwlN35MhB6tdvQI0aNbXH\n7OzsqVOnLqAZ67Z//14OHNhHjx5vlyuP4OBxWFlZM3/+Z6hUqkdek5eXR3DwcE6fPklw8Dhmzw5B\nrVYzdmwQ169f016nUCg4dOgAn3zyGe+//4G2VXH58kXUrFmbBQsW4+7uweLFnzNx4hg8PLwICQnF\nzMyUOXNmUFBQUK78XVxcCQvbAECfPv21r8uqRYvXKCkp4fz586XOxcREExIyh06d3iA0dDmBgcPZ\ntWsnGzas1blu1qyP8fFpz9y5C7C0lDNp0nhu3LhWKj2AzZujCAtbzltv9SQ0dDkffPAh8fFxzJ07\nS3vNTz8d5eOPJ1O/vjPz5n1Bnz79Wb9+DVFRmjGCp0+fZNKkCTg6OjJv3kIGDBjMli1RLFnyhU5e\nGzduQKlUMm/eF/j6dmLDhrUEBQViZWVNSEgo9erV5/PP55KcnAxAXNwNxo0LAiTMmTOf4OD3OXr0\nMDNnTtVJ9/vv93Dx4l9MmzaDWbNmER19mmXLFgEwdOhIWrVqg6NjDcLCNuDi4qq9r317X44ePfRk\nD0YQhJdGcYmKrw9dZd7GM9zJyMPWshpB3RozrEvlB3OqwkJSt3xN4qezKLhxA325HMex43F4b8wL\nHcyBaKErl6Sli8g9f+65lsHEw5MaE/5X5vuio8/o/BH8p+TkO/Tpo2lNcXVtTK9efcpVNmNjE/73\nv8lMnfp/fPPNNvr2fafUNfv27eH27VtERm7RdkN6e7finXd6sX79aubOXQiAUqlk2LAgvL1b6dzv\n7u7F6NHvA2BjY8OxYz/i5uZBYOBwACQSCRMnjuHmzQQaNHApV/4PulBtbe11ulPLwtJSDkBGRgYP\nb+V3/vw5jIyqMWDAYAwNDWnatDkGBvro6en+Wnbr1pPhw0cB0KKFN/369WDLlq/56KNPSuWXmprC\nkCEj6NdvAABNmzYnJyeb5csXk5eXh7GxMZGR62jevKX2fm/vVmRkZHDhwp8ArF27isaN3Zk9OwSA\n119vjbm5OfPmzWbgwME4ODjerxdbbTe9u7sHe/bsxMbGlnHjNJM+HBwc6d+/J1evXsbe3p6IiHCs\nrKz54oulGBgYAFCrVm3Gjg0iJiZa260tlerx+eeLkclk2NiYcfbsOfbs2QVAjRo1sbSUk5x8p9Qz\nadjQlfXr15CcnIy9vX1ZH5UgCC+gEqWKtXsvcvpyqmYLr9dq0dOnLgb6lb+dVkF8PMnhqylKvgNS\nKZZ+nbDu3hM9Y+NKz+tpEAFdFZOcfJvXX2/9yHPGxiYsWxZGRkY64eFhvPfeMDZs2KTtDisLH5/2\ndOjgx5o1K2nbtgMmD32yiYk5S9269XTGlBkYGNC+vS8HD+7TubZ2badS6Tdu7KZ9LZdbA2i7agEs\nLDRrEOXk5DyyfGXJ/2nx9GxCfn4eQ4cOoGPHTrRu7UNAQI9Sy3H4+3fWKaO3dyvOnj3zyDQnTpwE\nQGZmJomJ8SQkxPPbb78AUFxcRGGhlNjYq4wfr/thYMyY8QAUFBRw6dJfBAWNoaSkRHve27s1KpWK\n6OjTBAR0BzT1/aCsMpkRxsbGuLo20t5jbq55BgqF5hmcPXuGtm3bI5FItGm7uXlgYmLCmTOntAGd\ns3MDZDKZNh0bG1sKCvL/sz7t7R0AzXtcBHSC8PJLSM5hw/5LJKYoMDLU48MBTanrUPnj19QlJdw9\nsI+M73aDUomhgyP2I0dh5FSn0vN6mkRAVw7laRl7USgUCmSyRwdo5ubmNGummalZr54zQ4a8w48/\nHqFLl7fKldfEiR8yaFAfQkNDmDnzM51zOTk5yOVWpe6Ry63Jzc196Fjp66pVK/2JqSyBZ1nyr4j0\n9DRA05r1MC+vJoSEhLJ169d89dUGIiLCcXCowaRJU3VaJB8e5G9pKSc7O/uR+SUkxLNgwWecOxeD\nkZERzs4NMTbWBNNqNdr7LC1L/+wAOTnZqFQqVq/+ktWrvyx1PiMjXfva+BGfWh/33gK4dy+L3bt3\nsnv3zlLn0tP/Tvfh5yiVSp9oCZ0H9ykUiv+8VhCEF1dhsZKdx25w5MxN1GqobmHEyLcaP5VgLu/q\nFVK//oqipFsAWPp3ovrbfZG+hKs0iICuirGwsCA3V/cP3s8//4SNjQ2NGv3d6lWvXn309fV1/tCW\nVfXq1Rk9ejwLF87jyJGDOufMzc1JTIwvdc/duxna1rWn6VnlHx19GplMhpubGwpFSanzPj7t8PFp\nh0Kh4MSJ34iMXMcnn0xjz56/x4Ldu3cPKytr7feZmXeRy+Wl0lKpVEyZ8gHm5hZs3LiFOnXqIZVK\n2blzOydP/g6gbSnNysrUuTc1NYVbt27SsKGmO37IkBG0bdu+VB7Vq5d/JXRTU1N8fNo/sivfwsKy\n3Ok+kJOTfT+tp//+EQTh6cjOLWL1nr+4lJCJRAKdWtSih09djI0qN1xRFRaStnUT934+BoCBjS22\ngwIxcXOv1HyeJTEpooqxtbUjLS1F51hUVAQrVizVORYdfZqSkhKdmZHl0b17L7y8mhIWtlznuKdn\nE+LibhAfH6c9VlxczM8//4iHh1eF8nwSzyL/xMR4jh37gc6du2gnc/zTunWrGTVqKKAJdvz932Dg\nwEAUCoVOK+Hx479oXxcVFXHixHFtS+o/ZWVlcuvWTbp370W9es5I70/j/+OP44BmBqyxsQn16zvr\npAmwY8dW5syZgYmJCc7ODUlKuoWra2Ptl76+AWFhX5KSklIq3yfl6dmExMR4XFwaadO1tbVj1aov\nuXHj+hOnI33M8gRpaZrWUDs70d0qCC8jRX4xn0ae5lJCJuYmhswY0oIB/g0qPZjLj40lYc5M7v18\nDIm+Ptbde+I057OXOpgD0UJX5TRv/ho//nhE51hg4HCmTv0fn38+l44dO3HzZiLr1oXRtGlz7bIf\nmZmZJCXdom7dutpFcp+ERCJh8uSPGTZsoM7xgIBubNu2mQ8/nEBQ0GhMTEzZtm0TmZl3tRMbnqbK\nzv/WrZtcuKCZyVpYWEBs7BU2b/6K6tVtGDXq0ctoNGvWgoiIcBYs+Aw/v87k5GSzceN6PD2bIJfL\nibsfa0ZEhKOvr0/t2k5s376F/Px8Bg4MLJWeXG6FnZ0927dvRi63Qk9Pj/3793L8+K/acoFmpuiM\nGVNZsGAuHTv6cf36NXbs2MKYMeORSCSMHPke06ZNwtTUlHbtfMnKymLt2lVIpZIKBfhDhoxk9Ojh\nzJgxlYCA7hQVFREZGU5qagoNG5aeuPI4pqZmpKWlcurUCVxcGmNurumGuXDhHE5OdbC1tSt3GQVB\neD6KS1Ss//4SGdkF1LYzZdzbHlS3KP1BuCJUxUWk7/yGrCOHQK3G0NERh1GjkdWsVan5PC8ioKti\n2rf3JSoqgqSkW9qlS3x82jF/figREes4eHAfpqZmvPFGV4KCxmgHvf/++6/MmzebZcvCqFPHoUx5\nOjnVITBwOOHhYdpjxsYmrFixhhUrlrBo0QKUSiVubh58+eUabbff01TZ+a9evUL72sDAADs7e/z8\nOhMYOAJLy0d3JzZt2pxZs+YSFRXB4cMHMDSU0apVa8aN+0DnurFjJ7Bjxzbu3EmicWN3VqxY88hd\nKyQSCXPnLmTJkoV88sk0TExMaNTIjSVLVjJhwmguXDiHvb0Dvr7+zJkzn8jIcA4c2IudnT1jx06g\nd+/+gGZCS0hIKBER4ezb9x3Gxia0bOlNcPC4ck2QecDVtRFLl65izZqVTJ8+GUNDGR4eXkyfPgcb\nm9JjDB+nR4+3OX78FyZP/oDp02fj56eZNHLq1AnatfMtd/kEQXg+Uu7mEbbnLxKSc5AZ6jG6p3ul\nB3MlWZncXrGcgrgbIJVi1fUtrN7qjvT+jPtXgURd1g07XzFpaY+eBfkqGzduFJ6eTcq8k8Onn86k\nV6+++Pq2rpL1VhE2NmZlrrMHCwuHh2/UmcFblTxpvV25cpnRo0ewffvuKr9TRHnea4Kot/KoaJ2V\nKFUcOnWT3b/GUVyiwspcxvtve+JkX7n7sebfuMHtlctQZmWhb22NY/BYjJ7jrj0Vqbd/6yETLXRV\n0KhRY5g+fQqDBg3RzoD8L3FxN7h8+SLOzg2ecukEoey2bv2aPn36VflgThBeFlcSM9l8JJbEVM0k\nvdfd7BjUyaVSx8upCgvJ2P0tmYcPglpNtYYuOIwe+8Ju3VVRIqCrgjw9m+Dv35lNm75i5MjgJ7pH\nLrdi0aIvK9TlJghPQ2zsFa5cucSUKVHPuyiCIPyHEqWKrUevcTRas0xIdQsjAt9wwb2e9X/cWTa5\nF86TGrWR4vQ0kEiw9O+MTZ9+SPRf3bBHdLmKJvYyE10TZSfqrHxEvZWdqLPyEfVWdmWts9TMPFbv\n+Yu4OznoSSUEtHKii7cTMsPK2/VBmZ9P6tcbyTmhWarJsGYt7IcMe65drA8TXa6CIAiCILyUTlxM\nZuOBKxQUKbE2lxHc0536jpW7ZmT+9Wskr11NcXoaEkNDrLv1RN6p8yvdKvdPVeOnFARBEAThmSso\nKmHT4Vh+PX8HgOYuNgzt4oqJUeXNLlUV5JO+exdZRw+DSoWsthMOo4IxtC/bigwvOxHQCYIgCIJQ\n6RJTcli64xyZOYUY6EsZ4NeA9k0cS+1XXRGKP2NIjdpISeZdkEiQd34T6169X6nlSJ6UCOgEQRAE\nQag0KrWaH6OT2PbjNYpLVDjZmzEioBE1bUwrLY/ijHRSN39NbsxZAGR16mIXOBSj2k6VlsfLRgR0\ngiAIgiBUitSsfCL2XeJyYhYAbTzsCXzDBQP9ypn4oFapyPrpB9K/2YG6sACJTEb1Hm9j6d8JyWO2\nBawqREAnCIIgCEKFqNVqfj1/h01HYiksUmJazYAhb7rQ3OXJd4H5LyVZWaRs3EDuuT8BMG3eAtsB\ng9B/zG48VY0I6ARBeOmo1epKHYcjCEL5KfKLidx/mTNX0wBo4WLD4DdcMDM2rJT01Wo12cd/I23r\nJlR5eUiNjbEbMhyz5i0qJf1XRdVun6zCVqxYyrp1qx95bv36Nfj4lP0XZe7cWbRt25KYmOhS53Jy\ncvDxacG+fd+VOd3n6eDBffTq1ZWOHdvw9deRpc7fuXMbH58WOl++vq3o27c7oaELyMy8q3P9uHGj\nmDx5YqWVb9++7/DxaUFWVlalpfmi+/PPGKZPn6z9Pjb2KoMH96OoqOg5lkoQqqYLcRnMWPcHZ66m\nYWSox4iARozu6V5pwVzJvXskLQklZUM4qrw8TDw8cZr1mQjmHkG00FVBly79xeHDB9i8eWepczdu\nXOOrrzaUO221Ws3nn88lImIzhoaV8wv9PC1dGkqDBg0ZNiwIR8caj73uvffG0rSp5j+YwsICrl+/\nxsaN6/n9919ZvXqDdjHI//u/qejpic9RFbF37y4SExO03zdo0BBX18Zs2LCW994b+xxLJghVR35h\nCSu/+ZP9x+MBaFDTgqC3GlPdslqlpK9Wq8k59QdpWzahzM5GamyCTf8BmLduI1rnH0MEdFXQqlXL\n6dWrD9Wq6f7iKZVKQkLmYGkpJy0ttVxpGxubcOvWTSIiwhk1akxlFPe5ys6+h7d3K5o0afav19Ws\nWQt3dw/t982bt6RFi9cICgpk5cplLFu2GIC6L9Bq5a+Sd98dwvDh79KnT3+xn6sgPGVXb2YRvvci\n6fcK0JNK6Nm2Ll28nZBKKyfQKkpLJfWrSPIu/gWAkXMDHIPHirFy/0E0FVQxV69eJjr6NP7+b5Q6\nt3XrJvLy8ujdu1+507ezs6Nnz95s2rSRGzeu/eu1WVlZLFjwGb16dcXPrw3jxwdz+fJF7fl9+74j\nIMCPTZs20rWrH2+/HUB+fj4+Pi3Yu3c3H3/8If7+PvTo8SbffruDtLRUPvxwAv7+Przzztv8/vtv\n5c4/Ovq0ttt55cpl5eqCrlevPh06+HH06CHy8vKA0l2u+/fvZdCgfnTs2JpevbqybFkohYWFOmU4\nefIEw4e/S8eObRgxYjBnzpx6bJ5qtZpt2zYTGNifjh1b06lTOyZOHMP167rP4tixHxgxYjB+fm3o\n27c7Gzeu55+7AJ46dYKgoCF07NiGXr26Eh4ehlKp1J7v06cbUVERLFjwGW+80Z6AAD/WrVuNQqFg\nzpwZdOrUlt693yrVxX758iUmTBiNn18b3nrLn8WLP6egoEB7fty4USxfvojVq1fQvfsbeHl5MW3a\n/5GerhmbM3fuLPbv30tc3A18fFoQHX0agDp16lKrlhM7dmwt0zMSBOHJlShV7PjpOgu+jib9XgH1\nHC34ZGhLAlrVqZRg7sFYuYRZM8i7+BdSExNsA4dSa8pHIph7AiKgq2KOHDlI/foNqFGjps7xW7du\nsn79aiZPnl7hrtLg4HFYWVkzf/5nqFSqR16Tl5dHcPBwTp8+SXDwOGbPDkGtVjN2bJBO8KFQKDh0\n6ACffPIZ77//gbZVcfnyRdSsWZsFCxbj7u7B4sWfM3HiGDw8vAgJCcXMzJQ5c2boBAtlyd/FxZWw\nME3Xc58+/bWvy6pFi9coKSnh/Pnzpc7FxEQTEjKHTp3eIDR0OYGBw9m1aycbNqzVuW7WrI/x8WnP\n3LkLsLSUM2nS+McGy5s3RxEWtpy33upJaOhyPvjgQ+Lj45g7d5b2mp9+OsrHH0+mfn1n5s37gj59\n+rN+/RqiojRjBE+fPsmkSRNwdHRk3ryFDBgwmC1boliy5AudvDZu3IBSqWTevC/w9e3Ehg1rCQoK\nxMrKmpCQUOrVq8/nn88lOTkZgLi4G4wbFwRImDNnPsHB73P06GFmzpyqk+733+/h4sW/mDZtBrNm\nzSI6+jTLli0CYOjQkbRq1QZHxxqEhW3AxcVVe1/79r4cPXroyR6MIAhlkpNXxKKtMew7kQASCGjl\nxBcT2lHTtnLWliu8fZtbXywgef1a1IWFmDZvQZ1PQ7Bs10F0sT4h0eVaDt9vP0fi9bv/feFTVLu+\nFQF9Pct8X3T0GZ0/gqD5VDR//qe8+WYAXl5NuHLl4mPufjLGxib873+TmTr1//jmm2307ftOqWv2\n7dvD7du3iIzcou2G9PZuxTvv9GL9+tXMnbsQ0HQDDxsWhLd3K5373d29GD36fQBsbGw4duxH3Nw8\nCAwcDoBEImHixDHcvJlAgwYu5cr/QReqra29TndqWVhaygHIyMig3kO9refPn8PIqBoDBgzG0NCQ\npk2bY2Cgj56e7q9lt249GT58FAAtWnjTr18Ptmz5mo8++qRUfqmpKQwZMoJ+/QYA0LRpc3Jyslm+\nfDF5eXkYGxsTGbmO5s1bau/39m5FRkYGFy5olgJYu3YVjRu7M3t2CACvv94ac3Nz5s2bzcCBg3Fw\ncLxfL7ZMmzYTiUSCu7sHe/bsxMbGlnHjNC2QDg6O9O/fk6tXL2Nvb09ERDhWVtZ88cVSDO6v4l6r\nVm3Gjg0iJiZa260tlerx+eeLkclk2NiYcfbsOfbs2QVAjRo1sbSUk5x8p9QzadjQlfXr15CcnIy9\nvX1ZH5UgCI9QXKLkyOlb7P09gfzCEixMDRnT050GNS0x0K94m5CquIi7+77n7r69oFSiZ2pG9b79\nMG/tIwK5MhIBXRWTnHyb119vrXNs9+5vSEq6xYIFiyotHx+f9nTo4MeaNStp27YDJiYmOudjYs5S\nt249nTFlBgYGtG/vy8GD+3Surf2Ilb8bN3bTvpbLrQFwdW2sPWZhodn0OScn55HlK0v+T4unZxPy\n8/MYOnQAHTt2onVrHwICepT6T8zfv7NOGb29W3H27JlHpjlx4iQAMjMzSUyMJyEhnt9++wWA4uIi\nCgulxMZeZfz4/+ncN2bMeAAKCgq4dOkvgoLGUFJSoj3v7d0alUpFdPRpAgK6A5r6flBWmcwIY2Nj\nXF0bae8xN9c8A4VC8wzOnj1D27btkUgk2rTd3DwwMTHhzJlT2oDO2bkBMplMm46NjS0FBfn/WZ/2\n9/dtTE6+LQI6QagE2XlFLNn2J/HJmt9htzpyhnRxpbpF5Ux8yLt8iZSoSIrvt+Kbt22HTe9+6JlW\n3o4SVYkI6MqhPC1jLwqFQoFMZqT9PiUlmZUrl/PRRzORyYwoKSnRdpOWlJQglUqRlnP17YkTP2TQ\noD6EhoYwc+ZnOudycnKQy61K3SOXW5Obm/vQsdLXVatmXOqYkZFRqWOPU5b8K+LB2C9b29KLa3p5\nNSEkJJStW7/mq682EBERjoNDDSZNmqrTIvnwIH9LSznZ2dmPzC8hIZ4FCz7j3LkYjIyMcHZuiLGx\nJphWq9HeZ2lZ+mcHyMnJRqVSsXr1l6xe/WWp8xkZ6drXxsaln8E/31sPu3cvi927d7J7d+nZ1enp\nf6f78HOUSqU64/se58F9CoXiP68VBOHf3cnI5YstMWTmFFLdwojAN11wr2tdKWmXZGWSuikKRbTm\ng6mhvQO2gUMxbli6N0V4ciKgq2IsLCzIzf37D96ZM6fIy8tl+vQppa7t0OF1hg0LYsSI98qVV/Xq\n1Rk9ejwLF87jyJGDOufMzc1JTIwvdc/duxna1rWn6VnlHx19GplMhpubGwpFSanzPj7t8PFph0Kh\n4MSJ34iMXMcnn0xjz56/x4Ldu3cPK6u//yPNzLyLXC4vlZZKpWLKlA8wN7dg48Yt1KlTD6lUys6d\n2zl58ncAbUtpVlamzr2pqSncunWThg013fFDhoygbdv2pfKoXt2mHLWgYWpqio9Pe3r16lPqnIVF\nxQc85+Rk30/r6b9/BOFV9vuFZKIOXyW/sAQnOzMm9vXEwlT23zf+B3VJCZmHD5Gxd4922y6rLgHI\n3+iC9P4wDKH8xKSIKsbW1o60tBTt923atCU8fKPOV//+7wIQHr6RHj3erlB+3bv3wsurKWFhy3WO\ne3o2IS7uBvHxcdpjxcXF/Pzzj3h4eFUozyfxLPJPTIzn2LEf6Ny5S6klYgDWrVvNqFFDAU2w4+//\nBgMHBqJQKHRaCY8f/0X7uqioiBMnjtOsWelZt1lZmdy6dZPu3XtRr56ztmX1jz+OA5qxksbGJtSv\n76yTJsCOHVuZM2cGJiYmODs3JCnpFq6ujbVf+voGhIV9SUpKSql8n5SnZxMSE+NxcWmkTdfW1o5V\nq77kxo3rT5zO41qM09I0raF2dqK7VRDK6/yNDNbuvUh+YQlNnKsz5d2mFQ7m1Go1uRfOEf/JdNK/\n2Ya6sACTps2o8+k8rN/qLoK5SiJa6KqY5s1f48cfj2i/t7CwLNU6cu5cDKA7Ji0zM5OkpFvUrVtX\nu0juk5BIJEye/DHDhg3UOR4Q0I1t2zbz4YcTCAoajYmJKdu2bSIz8652YsPTVNn537p1kwsXNDNZ\nCwsLiI29wubNX1G9ug2jRj16sdtmzVoQERHOggWf4efXmZycbDZuXI+nZxPkcjlx92PNiIhw9PX1\nqV3bie3bt5Cfn8/AgYGl0pPLrbCzs2f79s3I5Vbo6emxf/9ejh//VVsu0MwUnTFjKgsWzKVjRz+u\nX7/Gjh1bGDNmPBKJhJEj32PatEmYmprSrp0vWVlZrF27CqlUQv36zmWumweGDBnJ6NHDmTFjKgEB\n3SkqKiIyMpzU1BQalqGrxdTUjLS0VE6dOoGLS2PMzc0BuHDhHE5OdbC1tSt3GQWhKrtwI4OV314A\noFvrOvRsW7fCExOKMzNJjYok90/N3xUDO3tsB7yLSTknmgmPJwK6KqZ9e1+ioiJISrpVaumSf/P7\n778yb95sli0Lo04dhzLl6eRUh8DA4YSHh2mPGRubsGLFGlasWMKiRQtQKpW4uXnw5ZdrtN1+T1Nl\n57969QrtawMDA+zs7PHz60xg4AgsH7N+UtOmzZk1ay5RUREcPnwAQ0MZrVq1Zty4D3SuGzt2Ajt2\nbOPOnSQaN3ZnxYo1j9y1QiKRMHfuQpYsWcgnn0zDxMSERo3cWLJkJRMmjObChXPY2zvg6+vPnDnz\niYwM58CBvdjZ2TN27AR69+4PaCa0hISEEhERzr5932FsbELLlt4EB48r0zjFh7m6NmLp0lWsWbOS\n6dMnY2gow8PDi+nT52Bj8+QbePfo8TbHj//C5MkfMH36bPz8NJNGTp06Qbt2vuUunyBUZeeup7Ny\n1wWKilW0crOnh0/Fgjm1Wk3Oid9J3fQVqvx8pNWqYdW1G/JOnZHoi9DjaZCon2S08SssLe3RsyBf\nZePGjcLTs0mZd3L49NOZ9OrVF1/f1lWy3irCxsaszHUWHX2a8eODCQ/fqNNaWpU8ab1duXKZ0aNH\nsH377iq/U0R53mtC1a23vIIStvwQy6/n7gDg3diOUd0aP1Ew97g6U+bnk/r1RnJO3B+76+mF7eCh\nGDxi7G9VVJH3jzHorAAAIABJREFU2r/1kIkwuQoaNWoM06dPYdCgIdoZkP8lLu4Gly9fxNm5wVMu\nnSCU3datX9OnT78qH8wJQlncTs9l+c7zpNzNQ19Pytvt6tG5Za0KtczlX7/GnTWrKMnIQGJoiO3A\nQZi3aSvWlHsGREBXBXl6NsHfvzObNn3FyJHBT3SPXG7FokVfVqjLTRCehtjYK1y5cokpU6Ked1EE\n4aWgVKk48Eciu3+Np0SpoqaNCcE93HGs/mQf8B9FrVaTdfgQad9sA6USmVMdHEaOwvD+QuTC0ye6\nXKtgE3tFVdWuiYoQdVY+ot7KTtRZ+VSVektMySFi/2XtYsE+ng4M8GtANVnZ23ce1JkyN5fkDeHk\nxpwFwNK/MzZ9+omxco8hulwFQRAEQSiX4hIl3/4Sx8GTiajVYGUuY+ibrrjXq9hiwQVxN7i9eiUl\n6elIq1XDbthIzJo1r6RSC2UhAjpBEARBeIUlJOcQvvciSem5SCTg36ImvdrWK1er3ANqpZKkXXtI\n3Bil6WKtUxfH98ZgYFP+xceFihEBnSAIgiC8glRqNQf/SGTnzzdQqtTYyasx8q3G1K9Rsd1UilJT\nSV63hoLr1wCw7OhP9b79xQLBz9kz3SkiMTGR4OBgWrZsSbt27Zg/fz6FhYUAzJw5ExcXF52viIgI\n7b0nTpygW7dueHl5MXjwYBISEnTS/uqrr2jXrh1NmzZl2rRp5OXlPcsfTRAEQRBeGHezC1i6/Rzb\nf7qOUqXGr3lNZg1/rULBnFqt5t6vv5AweyYF169haG2F4/sTsR04SARzL4Bn1kJXVFREcHAwzs7O\nbNmyhYyMDD766CMApk6dSmxsLJMnT6Z79+7ae0xNTQG4c+cOo0ePZsyYMfj6+rJixQrGjBnDd999\nh1Qq5dChQyxZsoTPP/8cW1tbpk2bxvz585kzZ86z+vEEQRAE4YXw+1/JbDxwhcJiJSZG+ox4qzFN\nnCu2pI9SoSDlqwgUZ04DYNqiJY0njiWroDJKLFSGZ9ZCd+7cORITEwkJCaF+/fq89tprTJgwge++\n+w6AGzdu4O7ujo2Njfbrwf6X27Ztw9XVlaCgIJydnZk3bx537tzhxIkTAERGRjJo0CD8/Pzw8PBg\n1qxZfPvttzr7YQqCIAjCqy76ahrr9l6isFhJcxcb5ozwrnAwp4g5S/wn01GcOY3UyAj7EUE4vDcG\nA7Mn3wZSePqeWQtdvXr1WLNmDSYmf69zI5FIyM7OJi0tjaysLOrWrfvIe//8809atmyp/b5atWq4\nublx9uxZvL29OX/+PKNHj9aeb9KkCUqlkkuXLtGiRelNzAVBeLmp1WqxUKkg/IMiv5jtP17jl/s7\nPrz5Wm36dSz/3ssAJVlZpG6O0rbKVWvQEPsRQRhUFxMfXkTPrIXOysqK1q1ba79XqVRERUXRunVr\nrl27hr6+PkuXLqVt27Z0796dnTt3aq9NS0vD1lZ3r0dra2tSUlLIzs6msLBQ57y+vj6WlpYkJyc/\n/R/sJbVixVLWrVut/X7y5A/w8WlR6qssYxHnzp1F27YtiYmJLnUuJycHH58W7Nv3XaWU/1k5eHAf\nvXp1pWPHNnz9dWSp83fu3C5VZ76+rejbtzuhoQvIzLyrc/24caOYPHlipZVv377v8PFpQVZWVqWl\n+aL7888Ypk+frP0+NvYqgwf3o6io6DmWShCeD7VazR8XU5i+9gS/nLuDvp6Evh3q08e3foXSLYiP\nI2HOTBRnTiORybDpN4CaH04VwdwL7LnNcg0JCeHSpUvs2LGDkydPAuDq6srgwYM5efIkM2fOpFq1\nanTp0oX8/HwMDQ117jc0NKSoqIiCggLt9486/1/+bZG+V9W5c+c4evQgBw8exNjYGIC4uGsEBgYS\nEBCgc22tWjZIpaXj/kfVm5GRAWq1mtDQEPbs2aPzTGQyzfrVZmZGL1WdL1++CFdXV8aNG0etWrVK\nlb2wUNPi/L///Q9vb28A8vPzuXr1KmFhYZw8eZytW7cCZtjYmDF37qdIpdJKqwMzM83OHdbWJlhZ\nvTz1WhYP19WRI99z+/Yt7XEbm+Y0aeLFtm0b+eCDD55HEV84L9Pv2IvkZau3jHv5LNsaQ/SVVADc\n6lkzrq8XNW3L/3Oo1WpSDh/h1tr1qIqKMHd3o+HE95E9ZjmSl63OXhRPo96eeUCnVquZO3cumzdv\nZunSpTRo0ABnZ2cCAgKwtLQENIFdQkICmzdvpkuXLshkslLBWVFREZaWlshkMu33D59/km2qqsLK\n4A8LCVlAjx69yc1VkpubQ05ODnfu3MHTswU1auh+qsvIKD0O8XGrXBcUFGNsbEJCQgILFy5m1Kgx\n2nM5OYr7/xa8VHWelZVFs2avUaeOK1D6/XL3rqZ+5HJbnbpzdnbH1dWLoKBAPv10HsuWLSYtLQcL\nC7tHplNeOTmaDzQZGbkola/eLLNHvdcKCoopKVHqHO/deyDDh79Lly49q/x+rlVlx4PK9rLVW0xs\nOuv3XUKRX4yJkT59OtSnrZcjUkn5/39R5uWRErEORfQZAMzbtMVu8BCy0YdHpPmy1dmL4mntFPFM\nly1RqVR89NFHbNmyhcWLF+Pv7w9oxtI9COYeqFevHikpKQDY2dmRlpamcz49PR0bGxttUJeenq49\nV1JSQlZWVqluWgGuXr1MdPRp/P3f0B67fj0WAGfnBhVO387Ojp49e7Np00Zu3Lj2r9dmZWWxYMFn\n9OrVFT+/NowfH8zlyxe15/ft+46AAD82bdpI165+vP12APn5+fj4tGDv3t18/PGH+Pv70KPHm3z7\n7Q7S0lL58MMJ+Pv78M47b/P777+VO//o6NP4+GjGX65cuUz7uizq1atPhw5+HD16SNt1/XCX6/79\nexk0qB8dO7amV6+uLFsWql3K50EZTp48wfDh79KxYxtGjBjMmTOnHpunWq1m27bNBAb2p2PH1nTq\n1I6JE8dw/bruszh27AdGjBiMn18b+vbtzsaN6/nnLoCnTp0gKGgIHTu2oVevroSHh6FUKrXn+/Tp\nRlRUBAsWfMYbb7QnIMCPdetWo1AomDNnBp06taV377dKdbFfvnyJCRNG4+fXhrfe8mfx4s+1rewP\n6mf58kWsXr2C7t3fwMvLi2nT/o/0dM3v/9y5s9i/fy9xcTfw8WlBdLRmbE+dOnWpVcuJHTu2lukZ\nCcLL5l5uEev3XWLZN+dQ5BfjVteKz0Z6075JDaQVGFdaeDuJxHlzUESfQVqtGvZB72E3dLjYvusF\nkVOk4MjVb/71mmca0M2fP5/vvvuO5cuX07lzZ53j7733ns61ly5dol69egB4eXkRHf33uKz8/Hwu\nXrxIkyZNkEqleHh4cObMGe35mJgY9PT0aNSo0VP+iV4+R44cpH79BtSoUVN77Pr1WAwNDVmzZiVd\nu/rh59eG6dOnkJGR/i8pPV5w8DisrKyZP/8zVCrVI6/Jy8sjOHg4p0+fJDh4HLNnh6BWqxk7Nkgn\n+FAoFBw6dIBPPvmM99//QDvzefnyRdSsWZsFCxbj7u7B4sWfM3HiGDw8vAgJCcXMzJQ5c2boBAtl\nyd/FxZWwsA0A9OnTX/u6rFq0eI2SkhLOnz9f6lxMTDQhIXPo1OkNQkOXExg4nF27drJhw1qd62bN\n+hgfn/bMnbsAS0s5kyaNf2ywvHlzFGFhy3nrrZ6Ehi7ngw8+JD4+jrlzZ2mv+emno3z88WTq13dm\n3rwv6NOnP+vXryEqSjNG8PTpk0yaNAFHR0fmzVvIgAGD2bIliiVLvtDJa+PGDSiVSubN+wJf305s\n2LCWoKBArKysCQkJpV69+nz++VztWNa4uBuMGxcESJgzZz7Bwe9z9OhhZs6cqpPu99/v4eLFv5g2\nbQazZs0iOvo0y5YtAmDo0JG0atUGR8cahIVtwMXFVXtf+/a+HD166MkejCC8hC4nZPLxmhP8eu4O\nelIJ/Xyd+aCvFxamsgqlm3noIAmzZ1KcnIxhjZrUnj4Lc+9WYuLRC+BuQSb7Lm3iTMxCGub+9a/X\nPrPQOyYmhsjISP7v//4Pd3d3nRY3X19fIiMj2bhxIx06dODnn39m165d2oWFe/fuzbp161i1ahWd\nOnVi5cqVODo60qpVKwAGDhzI9OnTcXFxwcHBgdmzZ9O7d2+dGbWVKfX6Jgqy/7316WkzMnfGtv7A\nMt8XHX1G548gwLVr1ygqKsLY2IR58xZy+3YSa9euYsKE0axf/3Wp8Yn/xdjYhP/9bzJTp/4f33yz\njb593yl1zb59e7h9+xaRkVuoW1cTuHt7t+Kdd3qxfv1q5s5dCIBSqWTYsCC8vVvp3O/u7sXo0e8D\nYGNjw7FjP+Lm5kFg4HBA0+o7ceIYbt5MoEEDl3Ll7+7uAYCtrb32dVlZWsoByMjI4P7nE63z589h\nZFSNAQMGY2hoSNOmzTEw0EdPT/fXslu3ngwfPgqAFi286devB1u2fM1HH31SKr/U1BSGDBlBv34D\nAGjatDk5OdksX76YvLw8jI2NiYxcR/PmLbX3e3u3IiMjgwsX/gRg7dpVNG7szuzZIQC8/nprzM3N\nmTdvNgMHDsbBwfF+vdgybdpMJBIJ7u4e7NmzExsbW8aN07RAOjg40r9/T65evYy9vT0REeFYWVnz\nxRdLMbi/CGmtWrUZOzaImJhomjRpBoBUqsfnny9GJpNhY2PG2bPn2LNnFwA1atTE0lJOcvKdUs+k\nYUNX1q9fQ3JyMvb29mV9VILwwipRqjh4MpFdv8ShVKlxqyNnYKeGOFhX7G+cuqSE1C2buPfTDwCY\nt22Hbf+BSJ9guJLwdN0rzOZU3PfIci7jrq8HBnqU8O8B9jML6A4ePAhAaGgooaGhOuf++usvQkND\nWblyJQsXLqRWrVosWrRIu+RIzZo1Wb58OSEhIYSFheHl5cXKlSu1g/UDAgJISkpi1qxZFBUV0alT\nJ6ZO1f3UL2gkJ9/m9ddb6xx755136dTpDZo109R3kybNcHKqy3vvDeWHHw7z5psBj0rqX/n4tKdD\nBz/WrFlJ27YdSgXXMTFnqVu3njaYAjAwMKB9e18OHtync23t2k6l0m/c2E37Wi7XbC7t6tpYe8zC\nQrMaek7Oo8cplCX/p8XTswn5+XkMHTqAjh070bq1DwEBPUp9Kvb3/7s128DAAG/vVpw9e+bh5ACY\nOHESAJmZmSQmxpOQEM9vv/0CQHFxEYWFUmJjrzJ+/P907hszZjwABQUFXLr0F0FBYygpKdGe9/Zu\njUqlIjr6NAEBmsW/XV0ba8sqkxlhbGyMq+vfreLm5ppnoFBonsHZs2do27Y9EolEm7abmwcmJiac\nOXNKG9A5OzfQjo0FsLGxpaAg/z/r097eAdC8x0VAJ7wqUjLzWPf9Ja7dugdApxa16N/RGam0Yq1n\nJffucSdsBfmxV5Ho62M3bATmD31wFp69EmUx0de/QS/7Mg31pKCvCeQM5F441fD713ufWUA3ZcoU\npkyZ8tjzXbt2pWvXro893759e9q3b//Y86NGjWLUqFEVKuOTKk/L2ItCoVAgk+l++nJyqoOTUx2d\nY25u7piamnHtWmy585o48UMGDepDaGgIM2d+pnMuJycHudyq1D1yuXWpBaEfdV21asaljj3JJJjy\n5F8RD8Z+PWo8p5dXE0JCQtm69Wu++moDERHhODjUYNKkqTotkg8P8re0lJOdnf3I/BIS4lmw4DPO\nnYvByMgIZ+eGGBtrgmm1Gu19lpalf3aAnJxsVCoVq1d/yerVX5Y6/89u+AczpP/p4ffWP927l8Xu\n3TvZvXtnqXP/HAP78HOUSqU64/se58F9CoXiP68VhJfBmSuprN17kaJiFZamhgwPaIR7XesKp5sf\nG8udNasoybyLvlyOw+j3qfZwF4LwTKlUKq4n/UhB2nHsJWrQk1KAFJncizo1/ZHqV/vPNMRoxyrG\nwsKC3FzdP3hHjhykenUbbQsJaAbXFxcXYWFh+XAST6x69eqMHj2ehQvnceTIQZ1z5ubmJCbGl7rn\n7t0Mbeva0/Ss8o+OPo1MJsPNzQ2FoqTUeR+fdvj4tEOhUHDixG9ERq7jk0+msWfP32PB7t27h5XV\n3/+JZ2beRS6Xl0pLpVIxZcoHmJtbsHHjFurUqYdUKmXnzu2cPPk7gLalNCsrU+fe1NQUbt26ScOG\nmu74IUNG0LZt6Q9Q1SuwBpWpqSk+Pu3p1atPqXMVeZ89kJOTfT+tp//+EYSnqUSpYv+JBHb9Goda\nDa81smVQZxdMq1VsJrtapSJt2xayjmj+fzGq74zjmHHoV8Lvn1A+KpWKy7eOUJh+CmuJEpkEslVg\nYPMaDWv6I5E+eZj2TCdFCM+fra0daWkpOsd27fqGpUu/0JnA8Pvvv1FYWEiTJk0rlF/37r3w8mpK\nWNhyneOenk2Ii7tBfHyc9lhxcTE///wjHh5eFcrzSTyL/BMT4zl27Ac6d+6inczxT+vWrWbUqKGA\nJtjx93+DgQMDUSgUOq2Ex4//on1dVFTEiRPHtd3j/5SVlcmtWzfp3r0X9eo5a4ck/PHHcUATpBsb\nm1C/vrNOmgA7dmxlzpwZmJiY4OzckKSkW7i6NtZ+6esbEBb2pXbmeXl4ejYhMTEeF5dG2nRtbe1Y\ntepLbty4/sTpPGpdREA7LtfOTnS3Ci+ve4pCFm2N4dtfNMFcT5+6vNfdrcLBnKogn+Tw1ZpgTk8P\nq4Bu1PpwqgjmnqPL6Zf44+wCTDNOYC1RkqtSc9u4Pg29JuNS+80yBXMgWuiqnObNX+PHH4/oHBs8\neBiTJo1nzpwZBAR0IzExkfDwMDp06KgNbjIzM0lKukXdunXLtCCiRCJh8uSPGTZMt5s6IKAb27Zt\n5sMPJxAUNBoTE1O2bdtEZuZd7cSGp6my87916yYXLmhmshYWFhAbe4XNm7+ienUbRo0a+8h7mjVr\nQUREOAsWfIafX2dycrLZuHE9np5NkMvlxN2PNSMiwtHX16d2bSe2b99Cfn4+AwcGlkpPLrfCzs6e\n7ds3I5dboaenx/79ezl+/FdtuUAzU3TGjKksWDCXjh39uH79Gjt2bGHMmPFIJBJGjnyPadMmYWpq\nSrt2vmRlZbF27SqkUgn165d/K6EhQ0YyevRwZsyYSkBAd4qKioiMDCc1NYWGDUtPXHkcU1Mz0tJS\nOXXqBC4ujTE3NwfgwoVzODnVwdbWrtxlFITnRa1Wc/JSKl8fvooivxgLE0OCujWmcZ1HD48oi4L4\neO6EraA4PQ2pkRGO4yZg7CpWgXherqbf4OuzO2lUlEQDQ30K1ZBj2hC3ut2RGZQeyvKkREBXxbRv\n70tUVARJSbe0S5d4e7di/vxFRESsZdq0SZiYmBIQ0J2goGDtfb///ivz5s1m2bIw6tRxKFOeTk51\nCAwcTnh4mPaYsbEJK1asYcWKJSxatAClUombmwdffrlG2+33NFV2/qtXr9C+NjAwwM7OHj+/zgQG\njii1xuIDTZs2Z9asuURFRXD48AEMDWW0atWaceN0dzsYO3YCO3Zs486dJBo3dmfFijU4OtYolZ5E\nImHu3IUsWbKQTz6ZhomJCY0aubFkyUomTBjNhQvnsLd3wNfXnzlz5hMZGc6BA3uxs7Nn7NgJ9O7d\nH9BMaAkJCSUiIpx9+77D2NiEli29CQ4eV6Zxig9zdW3E0qWrWLNmJdOnT8bQUIaHhxfTp8/BxubJ\n14zs0eNtjh//hcmTP2D69Nn4+WkmjZw6dYJ27XzLXT5BeF7uKQqJPHCFmGuasaSN68gZEdAYuVnF\nliMByLt6haQloaiLipDVdsJ+2EhktWpVOF2h7AqVRWy7uovE1Gi6mBhR3VAfpUQfhwaDaWBa8Wci\nUT/JaONXWFVc5XrcuFF4ejbR2cnhSXz66Ux69eqLr2/rKllvFVGelcGjo08zfnww4eEbdWbwViVP\nWm9Xrlxm9OgRbN++W+wUIVbvL5fnUW9qtZroq2lEHb7KPUUR1WR69PN1pp2XY6WsAZd17EdSN0WB\nUonZa97YDRuJ1KDydpQR77Unk1eczw83f+HP28d53UBFA0NNW5qeoRW29ftjYPTkY5P/rYdMtNBV\nQaNGjWH69CkMGjREOwPyv8TF3eDy5YuVspuEIFS2rVu/pk+fflU+mBNeHteT7rH1h2tcS9IsR9Kw\nliWjujXGyrzia8CpVSoydu3k7r69AFj6d8amTz+x68Mzll+Sz6GEn4hJ+p0WhmreNdZHKtEHqT7m\nNt5Y2Lcv8zi5fyOebhXk6dkEf//ObNr0FSNHBv/3DWjGZy1a9GWFutwE4WmIjb3ClSuXmDIl6nkX\nRRD+U3ZuEZuOXOXkpVQAzI0N6NamLh2aOqL3mAk/ZVEQH0fKV5EUJsSDVIrdkGFYtGlb4XSFsrl8\nN5bNl7bRSJLPYFMD9CUS1EgwsfKivkc3srIrfxcO0eUqmovLTDSzl52os/IR9VZ2os7K51nUW1J6\nLl9sOcs9RREG+lI6t6xF19edqCareNuKMi+P9G93cO+nH0GtRt/KCttBQzD1fHqrBoj3WmmFyiJ2\nx+4lPf00bYwMketpgnRjuQcWDu0xkFlVqN5El6sgCIIgPCcqlZqDpxL59uc4SpQqnGtYMKp7Y6pb\n/PdisU8i7+oVktetoSQjA/T0kPt3xrpbD7GF1zOkVqv5M+Us1xL34aZXgpmJpu71ZdWxrv0WMtPa\nT70MIqATBEEQhKfkSmImW364RkKypkXGx8OBAf4NKqVVTlVQQPrOHWT9oFmKSuZUB/vhI5HdX8FA\neDYS7iXy5/XtuKoVvGYgAaRgYIGVQwdMrDyQSJ7Nkr8ioBMEQRCESpZXUELUoSucuKhZjFtuJmPI\nmy541q+ciTu5F/8iJWIdJXfvahYK7voW1gHdxMSHZygj/y4Hb+zDTnGVJob6IJFQYGBJjZpvYmzR\noFJmKpeFePKCIAiCUEnUajUx19LZfCSW9HsFGBpI6ertxBuv1UZmqFcp6Wd8+412BqvMqQ52Q4Zh\nVNupwmkLT6ZIWcyhuAPkpZ2kuaE+1Qz1KUEPea0Aall7PfNA7gER0AmCIAhCJbiTkcv67y9x/bZm\nX+HadqaM7uGOnVX5V///J7VSSfqunWTu/x6kUqy798SqSwASvYoHisJ/K1QW8fPN30hJ/oUWBmqM\njTRr+kmNa1K7bm/0DZ/vPtIioBMEQRCECigsUvL9iXgO/HGTEqUKM2MD3mpVB99mNdDXq5zxU4W3\nb5O8fi2F8XEgkeAwajRmLVpWStrCvytSFvHzreNcSvqJNoZqXGR6gAS1kR12tbogM6n13Frl/kkE\ndIIgCIJQTjduZ7Pu+4vcycgDoI2HPQP9G1bKpAfQtMplHT1M+s4dqEtK0Leywm7oCEwau1VK+sLj\n5Zfk88utE/yV9DOvG6roUU3TEqrSN8GmZheMLRu9EIHcAyKgEwRBEIQyKi5R8d3xePafSECpUuNg\nbcywLo1wrll53W5FaancWbWCwsQEAMx92mLTbwB6xpXThSs8Wl5xHj/c/IXLt3+jpSH0NtYH9FBJ\nZcjt2mBu+3ql7vBQWV68EgmCIAjCC+xa0j027LukbZXzb1GTPu3rY2hQeWPZ8i5d5HbYClS5uehb\nW2M7cDCmXk0qLX2htLziPI4k/szlO8fxNoR+JpoQSS3Rx8K2FeZ2rZHqyZ5zKR9PBHSCIAiC8AQK\ni5R88/N1jp6+hRqwtzJmaBdXGtayrLQ8lLm5pO/cwb1fjoFKhYmnF/Yj3xOtck9RiaqE3++c4nj8\nIZrpK3lHG8gZYGH7Oma2r6OnXzmLQD9NIqATBEEQhP8QE5vOxoOXyVIUIZVI6Pp6bbq3qYOBfuW1\nyuXHXuXO2jDN2nISiWZtuZ5vI6mEPV6F0gpKCvjt9kl+vfkzLfQKGWBsAOijlujdD+RavxSB3AMi\noBMEQRCEf/Hzn7eJ2H8ZACd7M4a+6YqT/eP31CwrZW4uGbt3kvXjD6BWY1SvHnZDRyBzrFFpeQh/\nK1IW8dOt3ziScAwnaRH9qhliIjVAjRSz6s0xt/dB36Dynu+zIgI6QRAEQXiMQ6dusuVoLAC92tUj\noJUT0kqa2ahWqbh37CfSd+9EpVCAVIpVlwCsu/cUOz48BUqVkj+Sz/DdjQM4qPPpb2yIjZ5mz1VD\nk1pY1+6OgZH1cy5l+Yl3jCAIgiA8RKVSs/PnG+w7oZlh2te3Pl28K283hsJbN0let4bCmzcBqObi\niu077yKrVavS8hA0lColv90+yeHEH7FW5tCnmiE2epquVD0DcywcOmBi9fx2eKgsIqATBEEQhH/I\nUhSy4tvzXE/KRiqRMKyrK208HColbbVSSdYPRzTryhUXo29ljU2/dzBt3uKlDyheNGq1mnPpF9l1\n/Xvy8zPwM5bhUu3vQM7c3gdTqyYv5BIk5fFq/BSCIAiCUAlup+eyZPufpN8rQG4mY3jXRrjVtaqU\ntAuTkjS7PSTEA2Depi22Awchlb24S2G8rOLuJbDz2l4S7iXwmpEBrSxMMJCARGqIpWNHTK2bvTKB\n3AOv1k8jCIIgCOWgUqk5FpPE5qOxFBWrqOtgzsS+npgZG1Y4bbVKReahA2Ts2nl/twdrbN8V68o9\nDVmF9/j22vecTonB3VCf9yxMMJNqWj6rWTZCXqPzc99z9WkRAZ0gCIJQpWXmFLL0m3P8GZsOQCs3\nOwa/4YKRYcX/RBalJJO8PpyC69cAsGjXHpt+7yA1enmWw3gZFKtK+DHxF/YnHMVcXcIAs2rUvr+k\njIGRLfKab2BkVvc5l/LpEgGdIAiCUCWp1Wp+/yuZTYdjySsswczYgIH+DXmtkW2Fx7OpiorIPHSA\nu99/h7q4GD1LS+yHDMfEw7OSSi+A5hmeT7/Izmt7URdm0tnIgMYyYySAVN8YeY3OGMs9qsT4RBHQ\nCYIgCFVObkExkfsvc/pKGgDNXG15168BcrOKjWdTq9Uook+Ttm0LJRkZAJi1ao3tO++iZ2JS4XIL\nf0vOTWUc97xeAAAgAElEQVTH1V2giMdfZkBti/u7aUj0MLVuhoVDe/T0q84OGyKgEwRBEKoMlUrN\nmatpbPshlozsQmSGegz0a0Avv4akpysqlHbx3bukbf4axdkzABjWrIXtOwMxdm1UGUUX7rtbkMm+\nG4fJzTxHW5k+clPNWnISqSEmVl6Y27ZCX1Z527G9LERAJwiCIFQJ6ffyWfvdRWJv3QOgroM5wT3c\nsLGsVqEuOVVxMVmHD5Kxdw/qoiKkRkZU790Xi/a+YtuuSnS3IJMjCcdISTuNj5E+1vcnrEgN5VjY\ntcZE7o5Ur+rOGBYBnSAIgvDK+yvuLmG7L5BbUIKFiSHd29ShrZcj+noVC7gKEuK5s3oVxakpAJg2\nb4FNvwEYWL+8Ow68aFLz0jmc8CO308/SxsiA1000gZzEwBwrx44Yy92RSETgLAI6QRAE4ZWlVqs5\nfOomW3+4hhrwqGdNULfGmFYzqFi6SiV3D+wjY88uUCoxdHDEZsC7mDR2q5yCC2QX5fB93GGupZyi\njcyAtve7VpHKkDv6Ylq9ORKJ3vMt5AtEBHSCIAjCK0mRr5n4cOaqZuJD9zZ16N6mLlJpxWY8Ft5O\nIiVyw99LkXToiE3/AUgNKhYkChr3CnM4dus3rt85jrdMQhuz+0u8SA2wsPPBzOa1Kte1WlhQzJnj\nCfTo3/Sx14iAThAEQXjlpGTm8cXms2RkF2JkqEfgmy683ti+Qmkq8/PJ2LWTrJ9+AKVSsxTJsJGY\nuLlXUqmrNkVRLgcTfuBa8glayfTobXI/RJEaYGbdDHO7NugZmD7fQj5jhQXFnPjpBlcupKAsUYmA\nThAEQaga1Go1Z66kEXX4Ktn/z959BkZZpgsf/0/LpPdJDyEJ6aH30AVEQVBBXEDBsnpcXbeoe9bC\n+q6ua1nP4eweu65lLSgoiooFEBAEAekJkEp6z0z6TKY/z/thNHsQ0Amk5/59kueZJFduZzLX3OW6\nTDbiI/248+pMQgMvrZBv+5FDNLz3Ls7WFlAoCJg1m9Cly0Upkm5gc9rZXbWP4xVfM0kLK31ds2+y\nQkNgxHT8dJNRqi69Y8dAU36mkZ2f5WG1OACIGR70k48XCZ0gCIIwKDS1WXhneyEnzrg6PoyIDuB3\ny0fh43nxS6GS1Yph84e07NgOgGdCAuGrb0YbO6xbYh7KnJKTI/Un2F+6lVEqKyt9v09JFGr8w6bg\nFzYVlXroddSwWR3s3V5E4WnXQZvI2ABmXp5MsO6nPzyIhE4QBEEY8M5UtfLc5pO0mWx4aVVcNyuR\nWWOjUV5CORJjzgn0767HbtCDQoHuFysJvGyeKEVyiSwOC/trD5NdtZdMpYVlXmpAjaxQ4a+bhH9Y\nFirN0Jv5NLVbOXGokvycWmxWJ2qNkgnThjNmcqxbZXVEQicIgiAMaOV17fz3xuPY7BKpwwK5fXHG\nJXV8sFZXY9i0EdPJHAC0scMIv+lWPIcP76aIh6YOewd7qvZzvHof4zROlmrVKBRqZJT46SYQED59\nyO2RA7CY7Rw7UMGpY9U4HRIAETH+zFyQTIjO/fEQCZ0gCIIwYB08Xcfb2wuw2SWmZITzy0VpqC5y\nBs3R0oLhk49o27cXZBmlpychS64l8LK5KNTi7fJimR1mtpfv5nj1t0zyULDKW41SoUFGiU/oOAIi\nZqDW+PV1mL3O2G4l+7tK8k+6ZuQA4pNDGZ8Vhy6i6+MhnqGCIAjCgGM023lvRxEHTtcBMD5Zx81X\npF5UMidZzJSv/4zqj12dHlCpCJg5m5DFV6P29+/u0IcMp+Rkf+1hdpduY6zawc2+GpQKBTIKfELG\nuhI5j4C+DrPXmYxW9u88w6njNZ0zcrHxQUyelXBRidwPREInCIIgDBiSLLPzaBUf7y3FbHXgoVay\ncl4SM0dHXVT7LmtlJTXPP+PaJwf4jh1P6LLleERcWomToa6ouZhPCjeTILVwg7cGtULjSuSCR7sS\nOe1Pn9gcjKwWB9mHKjl5tKpzRi4xVcfYKcMuKZH7gUjoBEEQhAGhttHEu18VcrqsGYCM4UGsmp9M\nZMjFbaBv2/8t9e+8iWyz4ZMQT/DyVXglJXVnyEOOJEtsyt+EszmHqz01aBWuciPegRkERM5G4zn0\nWqK1tZjJOVxF4en6zhIkwxKDmTQjvlsSuR+IhE4QBEHo12RZZvfxajbuOoPNIeHjqebmK9MYn6K7\nqO9nb25G/+47GI8fBcBvahaZ9/6GxlZrd4Y95FS0lFBY8hFjMaH1ciVyWr9EgqLm4uE99GY8W5vN\nnPiugvycOiRJBlwlSBZcnYmXb/d3FREJnSAIgtBv1TV18Pa2AvLKXbNyUzMi+MVlI/D36XqhWVmW\naT/8HQ3vvI3UYUKh1RK28gb8p81A6eEBiITuYujbqzhV/BHRzmaSlQpAgeQZTkTslXj6Dq16fbIs\n01DbTs7hKorzG5BdeRzJGeGMmhhDaLgvYWH+6PXt3f6zRUInCIIg9Eu5ZU08v/kUZqsDH081a65I\nZWJq2EV9L8lmo+Hdt10nWAHvzJGE33QrmqCht5eru5gsbRzMfR2dpYpEhQKUClqVfkQPv4rggKG1\ndC3LMsX5ek58V4G+zgiAUqkgJTOcMZNjCQrt+bp6IqETBEEQ+hW7Q+LDPcV8dbgSGRibFMrNV6bi\n531x7Z9Mp0/R8M5b2PUNKDw80P1iFQEzZ13UIQoBHA4LuaWfoGkvIEoBKBQYFD7EDruSYcHpfR1e\nr3I4nBSdbuDEdxW0NJkB8PRSkzIyglETYvD19+y1WERCJwiCIPQb+hYzL31yitLadpQKBYuz4lg8\nbfhFlSNxtLag37iB9kMHAfCIjiH8plvwSkjs7rCHBFly0FC3l7a6fQQqZFBAk6wiIGoe4yIm93V4\nvaqlqYO87Fryc2qxmF0HHfz8tYydOoyUzAjUGlWvxyQSOkEQBKFfOF6o57XP8+iwOggN8ORXV2eS\nENX1OnCS3UbLV9tp/HwLstWKwsODkMVXEzR/gSgQfBFkWcLUlIOhegdKZwdaBdQ5IWjYdEaFzkY5\nhFqhtTab2bO1gOryls5roeG+jJ4US2KqDpWq78ZCPLMFQRCEPuVwSmzaXcz2w5WAa4n11kVp+Hh2\n/SSg6VQODevfwa5vAMBn9BjCVtyARndxJ2KHMlmWMbcV0lC5FaW9FSWgdzrJJYBrRv0HCdGRPbK5\nv7/5YX/c6eM11Fa2IMug1ihJTA0jY2wUYZF+/WL53q2ErqysjL1793Ly5EkaGxtRKpWEhoaSmZnJ\nrFmziImJ6ek4BUEQhEGossHIa5/nUlFvRKVUcN3sRC6f6F4z8v/LVleL/v0NmHKyAfCIiiJs5Y14\npw2tPV3dQZZlLO3FGKp3IlvqUQKtTolDNhgWNZsVw2agUQ6N+aDq8mb27yzG0PD9QQeVghEpOqbP\nT8LTq/tLj1yKn/w/cvjwYZ5//nmOHj3KyJEjGTFiBBkZGUiSRHNzM5s3b+app55i0qRJ3HHHHUya\nNOknf1hFRQVPPPEER48excvLi4ULF3LPPfeg1Wqprq7m4Ycf5tixY0RGRvLAAw8wa9aszq89ePAg\njz/+OBUVFYwaNYq//vWvxMXFdd5/++23+ec//0l7eztXXHEFDz/8MN7e3pc4PIIgCEJPcEoSW7+r\n4JN9pTicMqEBntyxJIPE6K61gpIlieatX2D4ZDM4nSi0noRctYSg+ZeL5dUukmWZjpbTtNR9i9NS\nD4BJkjhkkwgNy2JV3Cy81F59HGXvkCSZk0eqOPB1MbIMPn4ejJsaR1J6GNqLmDnuDRd8tv/hD3+g\nvr6elStX8txzz+Hr63vex5lMJrZu3cq6deuIiYlh3bp1532czWbjV7/6FSNGjGDDhg00Njby0EMP\nAXD//fdz1113kZiYyKZNm9i1axe//e1v+eyzz4iNjaW2tpY777yTu+66izlz5vD8889z1113sWXL\nFpRKJdu3b+cf//gHTz/9NGFhYTz44IM89dRT/OUvf+mGIRIEQRC6k8li540v8jlW6Gq3NXtsNMtn\nJ+Kl7VoCZtM3UP/6q5iLCgHwnz6D0KXLRf/Vi2AzN9BSswtLm2ssTZLEYYsDj+BRLBu5CF+Pni+7\n0R/YrA5KCvScOFRJs6EDgLFThzEhK65PDjp0xQVfPVdffTUzZsz42W/g4+PDsmXLWLZsGXv27Lng\n43JycqioqOCDDz7Ax8eHxMREfve73/HUU08xa9YsSktLWb9+Pb6+vowYMYL9+/ezadMm7rnnHt5/\n/31SU1O5/fbbAXjiiSeYNm0aBw8eJCsrizfffJMbb7yRuXPnAvDII49wyy23cP/99+PjMzSehIIg\nCANBRX07z310EkOrBS+til9dncnIhK61g5IdDpq/2k7jlo+RbTZUAYFE3HobPhmZPRT14GU1VdNW\n/y0drfkoAKsss7vDitUnjmtGLSbGL6qvQ+xxTqdEdXkzhafrKS004LBLgOvU6rR5I4hPHhj7Ly+Y\n0LmTzP3Y/10i/bGEhAReeeWVsxIshUJBW1sb2dnZpKennzULOH78eI4cOQJAdnY2EydO7Lzn5eVF\nRkYGx48fZ/LkyZw8eZI777yz8/6YMWNwOp3k5eUxYcKELv8egiAIQvfbm1PD+u2F2BwSwyP8uH1x\nepf7sNrq66h54Tls1VUA+E2egm7FKtR+YlauK6ymKlrrvsHSdgYApyyTbbWTJ3uxMGUZo0Mz+sVG\n/55kszrIy67l+MEKzB32zuuRMQGkjoogKT0clXrgnOB1a37bYDDw2muvUVpais1mO+f+66+//rPf\nIzg4mKysrM5/S5LEO++8Q1ZWFnq9nrCws6t/h4SEUFdXB3DB+/X19bS1tWG1Ws+6r1arCQwM7Px6\nQRAEoe+YLHbe/aqIA6ddf5Onj4xk9YJkNGr3l7BkWaZt3zc0bHgP2WpBExZO2Kob8ckc2VNhD0p2\nSyMtNV9hbnUtrdpkmWNWO9k2iYnR07kvfh5a1cUVcB4oHA4nuSdqOXagHLPJlcgFhXiTmBZGSmY4\n/oEDc5+gWwndPffcQ3V1NXPnzsXTs3uqHj/55JPk5eWxadMm3njjDTSaszcZenh4YLe7BtpsNuPh\n4XHOfZvNhsVi6fz3+e7/HJ3O71J+jSFLjFvXiTG7OGLcuq4/jVlJdStPvX2M2kYTapWSu5aNYv7k\nuJ//wv/D1tLCmedepPmwa9UmJGsqSb/9NSqv7n3j7U/j1t3Mxnrqy3bTWHsMZKkzkTtqdTAxbgpP\nZl5FiHfX26ANtDGrrmhh01tHaG12dXWIHhbI9HlJJKeH9+qMZE+Mm1sJ3cmTJ3nvvfdIS0u75B8o\nyzKPP/447733Hv/7v/9LUlISWq0Wo9F41uNsNltn8qjVas9Jzmw2G4GBgWi12s5/X+jrf8pQqKHT\n3XQ6PzFuXSTG7OKIceu6/jJmTW0WPtxTwsHTdcjAsHBf7rw6k/Bg7y7FZzx+lPq3/oWzvR2llxdh\nq1bjN2UqTUYHGLvv9+wv49bdbOZ6Wuu+wdySB4AkwymbnW/MNuKDU7hv9GLCvHVIJtCbuvb7D6Qx\na2+1kHuihpzDVTgcEsE6HybNiGd4UggKhQKDwfjz36SbXMq4/VQi6FZCN2rUKKqrqy85oZMkibVr\n17Jlyxb+/ve/M2/ePADCw8PJz88/67EGgwHd94Ugw8PD0ev159xPSkrqTOoMBgPJyckAOBwOWlpa\nzlmmFQRBEHqWJMt8fayaj74pxmx1olIqmDMummtnJHTpFKuzo4OG9W/R/p2rbZdXahoRt96GJrhr\nByiGKqfdSHPVNjpaTrv+DeRY7Ryy2HCqfFiRsZxxYaP6NsheIEkyp45V892eks7DDqmjIpi5ILlP\nuzr0BLdeXU888QSrVq1i586dREVFnTMteffdd7v1w5566im2bNnCs88+y5w5czqvjx49mpdffpmO\njo7O2nFHjx5lzJgxnfd/OCABriXY3Nxc7rzzTpRKJSNHjuTo0aOde/ROnDiBSqXqlhlFQRAEwT12\nh5OXPjnN8SID4Or4sGJuErou7kmylJVR+9Lz2A16FBoNocuWE3jZPBRDqMXUxZKcNtr1h2hv2I/k\ntCCh4LjVxgGzDafSg8uHL2BO7HQ8Bvk+OQBDvZFvthdSX90GQHxyKJnjoomOCxyUBz7cSuj+8Y9/\n0NTUREFBAeXl5WfdUygUbiV0J06c4M033+S+++4jMzPzrBm3SZMmERUVxQMPPMBvfvMbvv76a7Kz\ns3n88ccBWLZsGa+99hovvvgi8+fP54UXXiAqKoqpU6cCsGrVKv70pz+RkpJCZGQkjz76KMuWLRMl\nSwRBEHpJcXUrb20roLLBiLdWzS0LUxmf0rVVElmWad27B/2Gd5FtNrTD4oi84y48wsN7KOrBQ5Ls\nGPVHaGv4Fsnhqp9WZnfyhcmCUYZp0ZO5Kv5y/DzOX1N2MDHUGznybRmlha4PFj6+Hsy4PJn45NA+\njqxnuZXQ7dixg1dffZUpU6Zc9A/atm0bAOvWrTun+PDp06d54YUXWLt2LUuXLmXYsGE899xznS3F\nYmJiePbZZ3nyySd56aWXGD16NC+88EJnQ+BFixZRXV3NI488gs1mY/78+TzwwAMXHasgCILgHqPZ\nzua9Jew+Vo0MBPtr+d11o4kN61ri4DSZqH/zdYzHjgLgnzWdsNU3odT0z6r8/YXD1obRcBhj4/HO\nRK7GIfGN2Uq5w8m4sFEsip9PhM/gT4qNbRZOHKrk9LEaJElGqVKQMSaKiTOG99vuDt1JIcuy/HMP\nWrhwIU899RSjRg2+9faBsqGzPxlIG2H7CzFmF0eMW9f15pgdL9Lz9rYCWow2lAoFCybHsiQrHq1H\n1yrqd+TlUvvPl3C2tbkOPty4Bv/JU3so6vMbaM81h62V1trdmJpPguzaG9bghD0dZkocTjJDUlmc\ncEWPFgbuD2MmyzLV5S2cOlZNWZGBHzKajHFRjM+Kw8dX26fxnU+fHoq4++67uf/++7npppuIiYlB\npTr7xfrD0qcgCIIw+DW3W/ng6zMczHX1+xwRHcCaK1KI0XVtVk52OGje+RWGjzaB04nniCQifnk7\nHjpxoO1CnA4zbfX7MOoPI8sOZBSUS2r2GduodkoM84vh9yMWkRSU2Neh9hinQ6KmsoWyIgOlRY2Y\n2q0AKJUKElN1jJs6jJAuzhAPBm4ldPfeey/gaqn1YwqFgry8vG4NShAEQeifDuXV89bWAjqsDjzU\nSpbOSuSycdGou3hi0JR7Gv1767HV1gAQNH8Boct/IQ4+XIBrj9whWuv3ITtdCUwVnnze2kiLJBOk\nDeTmlCsZHz4apWLwjmFJgZ5dn+djtzk7r/n4aUkfHUnamMh+OSPXW9xK6H5cUkQQBEEYWto6bLy3\no4jvvp+VG5UYwsp5SYQHeXfp+9jq6zFseh/jcddeOY0uDN3KG/AdNbrbYx4MZFnC1JRNa+1unHbX\nMl29rOHL9lbqnUa81F5cHT+bOTHT0agG5z4xSZKpr26lKK+B3OM1yLKrs0N8SijxSaHoIvwG5anV\nrrpgQrdnz56f7M16Pl9//fVZ5UgEQRCEgU2SZHYeq+LTfaWYLK5ZuV9cNoLZY6O79Cbq7DDR9NkW\nWnbtQHY4UGi1hCxaTOD8BeLgw3nIsoy5rZDWml3YLa6qEM2ymu3GdsocRnzU3iyKn8asmGn4aLqW\nVA8UdpuT3BM1nDhUSYfx380DxmfFMXHGcJHE/cgFE7ovvviCl156iVWrVjF79mz8/M6/Ec9oNLJt\n2zY2bNjA8OHDRUInCIIwSBhazbz2WR4FlS0ApA8PYs0VqYR1oa6cLEm07d+H4cMPcLa7Zpj8s6YR\ncu11aIK63mpqKLCaKmmp3oHVVAmASVay09RBnt2Bt9qLxQmzmBWThZe6e1px9jeyLHP6WA1HD5R3\nJnL+gZ4MTwolJTOC0PChtz/OHRdM6P72t79x5MgRXnzxRR566CEyMjJITEwkKCgIp9NJS0sLBQUF\nFBYWMmnSJO67775LKmsiCIIg9B8nSxp56ZNTmK1O/H08uGlBCmOSQrs0K2LTN1D/+quYi1yN4D1H\nJBG24gY8hw/voagHNrvFQEvNLsytrm1OFlnBPrOFE1Y7HmovFsbP4bLY6XipB2bz+J8jyzJ1Va2c\n+K6SsjONAOgifJkwfThxiSFiRu5n/OQeugkTJvDaa69RXl7Ovn37OHXqFIWFhSiVSkJCQli2bBkz\nZ84kNja2t+IVBEEQetiZ6lae33wSm11ibFIoN12Zir+3+50FJLud5m1f0vT5FmS7HZW/P7rrV+A3\neap4Uz4Ph72dtto9GBuPAzJ2GQ5bbHxnseGtDeCaETPIipqE5yCdkbPbHJw+XkPuiVpam80AqNRK\n5ixMYURamHjOuMmtQxFxcXHExcX1dCyCIAhCH9t9opr12wtxSjJZmRH8clFal95QzSUl1L3+Cva6\nOgD8Jk8hbMUNqC6wbWcokyUHrXV7aWs4ALIDSYZsm51vzTa8tEEsTZnFlIgJg/awA0BNRQtffZJL\nh8m1tOrt60FKZjhpo6MICBqcM5E9xf1OyYIgCMKgZXdIrP+qkG+yXWVE5o6L4RdzR7idzMkOB42f\nfkzTl5+DLKOJiCD8hjV4p6X3ZNgDlqW9jKbq7TjMrsS3wObgG7MVL+8Irk+fw1jdSFTKrhVoHkgk\nSeLIvnKO7ne1Ew2L9GN8VhzDEoM7u0AJXSMSOkEQhCGutLaN1z/Po9pgQqNWsmZBCtNGRrr99c4O\nEzXPPYO5sAAUCoIWXEHI1UtRegz+BvBd5bC1Yaj8EltbAQAtTonPTBYkTx3L0i9ntC5zUC8xOp0S\nVWXNHP22nPqaNsB1anXC9DiRyF0ikdAJgiAMUbIss+9kLRt2FmG2OtEFenLnNZkMj/B3+3tYKsqp\n++fL2GprUAUGEnn7r/BOSe3BqAcmWXJiqN2NseEAKiRssswhi506TShLMhaQEZI6qBM5u91J0el6\njh+soK3FAoCPrwdzF6cRHSdOO3cHtxK6w4cPM3bsWNTqsx9us9n45ptvmDdvXo8EJwiCIPSM2kYT\nb28rIL/CVZJkUloYv1yUhkbt3jKf02jE8MlmWvd8DZKER1QU0b+7D01ISE+GPSC1tuRTX74FT8mM\nCtfyaplHJFkpc1gZnDJoEzlJkqmpaCEvp5ayIgMOu6vnbECQFymZ4WSOj0HrKeaVustPjqQkSciy\nzJo1a/jmm28I+dELNT8/n3vvvZecnJweDVIQBEHoPkfyG3jjy3zMVge+XhpWzktiSnq424lF67d7\n0W94F8lsBoWCwLnzCV16HUrt0G27dD7trcVUVnyBr6MZT6DZKZGn0jE1bQnz/QdvdQiH3cmpYzWc\nOlZNe6ul83p4tD+Z46IZkaYTy6s94IIJ3YYNG3jkkUdQKBTIsszMmTPP+7hp06b1WHCCIAhC9zFZ\n7Kz/qpCDp13tu8Yl67j5ylR8vdw7Reloa6Ph3bcxHjkMgHd6BrpfrEQbHdNjMQ9E1o46yks342nT\n4wtYZZlC2Zfk+MWsCEnu6/B6jCzLlBToOfB1SWci5xfgSXJGOKmjIvDvQkFqoesumNCtWLGCxMRE\nJEnipptu4plnniEgIKDzvkKhwNvbm+TkwfvkFARBGCwqG4w8symbxjYrHholv5jTtfZd7YcP0fDu\nOzjb21BotYStvIGA6ef/oD9U2c16qiq+QGkqx1PhSuSKZS/ihl3JwtDBfdihtqqVfduLMDQYAQjW\n+TB5VjzDEkJQKgfv792f/OSS68SJEwHYuXMnUVFRg/rJKAiCMFh9e7KWt7cVYHNIxEf68x9L0gkP\ncr//p/H4MWpffgEAr+QUIm69DU2orqfCHXAc1hbqqnfgaM1FBTiQybMr0EXNY0F01qB+76yrbiX7\nUBUlBa5+sz6+HozLiiN9TKRYVu1lbu1G1Ol0bNy4kZMnT+JwOJBl+az7Tz/9dI8EJwiCIFw8u8PJ\nezuK2H3CVVtuWmYEqxek4KFx7+CDLMu0HzxA/dv/AiD4qsWELLkWhXijBkByWtHX7MJiOIICGWSZ\nHLuEZ+hk5g2fh1Y1OMu2SJJEaaGBLe9lU1XeDLg6O4yaGMOErDjUbj6/hO7lVkL30EMPsWPHDmbM\nmIGvr2iKKwiC0N/VNpp4fvMpagwm1ColN16ezMzRUW5/vU3fQMM7b9Fx+hQA/tNnimTue067CX3d\nXkyGo2hwgixz2ubA6p/C3Mxr8PMYnO+T5g4bBSfrOXW0ivY2KwBaTzVpoyMZOT4aX//B2ZpsoHAr\nodu5cyfPP/+8OAAhCIIwAJwqbeSVT3Mxmu2EB3tzx5L0LtWWa/vuAPVv/QvZakXp7YPu+hX4T5s+\nqJcO3eG0m2is24PJcAwVEhqgyuGk3COSqekLGe4/rK9D7HY/HHQ4dayG2soWfligCwjyImvOCKKH\nB6LxEDNy/YFbCZ2/vz/h4eE9HYsgCIJwCdo7bHzwYTZb95chA5kJwfz6mpFo3XzDdZpM6De+R9v+\nfQD4TZyEbsUNqP/PgbihyGk30Vy3F6PhCEokVECx3UGTZyyTEheS5R/d1yF2uw6TjYKTdeTl1NLa\nZAZAqVQQmxBExtgo4hJDCAvzR69v7+NIhR+4ldD9+te/5vHHH2ft2rXExsai0Zx9xF1sfBQEQehb\nRwv0vPFFHh1WB0qFgqunD+eqqcPdOmEoSxLt3x1Ev2kjztZWFGo1ul+sJGD2ZUN6Vk6WZTpa8mko\n/xiVbEcJnLE5qPYI57L0pUT7ut8ebaBobTZzaG8pJfl6JMk1Hefj68G4qXEkZYSh9XSvxI3Q+9xK\n6J5//nkaGxtZvHjxee/n5eV1a1CCIAiCexxOic3flPDldxUAjEnWsWxGPNE69/Zx2RoaqH/zdcwF\n+QB4jkgi4uZb8YgYfMlKV5iNFVSXfYqHvQkVUG53kKsIZOaIq7hsENaSs9ucHN5Xyskj1UiSjEIB\nw45/KlAAACAASURBVJNCSBsdybCEYDFxMwC4ldD913/9V0/HIQiCIHRRc7uVFz4+SXF1G0qFgutm\nJ3LjonQMBuPPfq0sSbTs2oHho03INhsqP39Cly3HP2vakD74YLc0UlH2CRpzFR5AhyRz3KFixLBr\n+I+IsYNuxtJitpNzpIq87Fo6jDYAUjLDmTgjHr8AcchhIHEroZs0aRIA9fX1lJaWMmbMGIxGI6Gh\noT0anCAIgnB+hZUtvPjxKVpNNoL8tNyxJIPk2EC3Eg5LWSkN776NpaQEAL/JUwhbcQMqP7+eDrvf\nsnY0Uln8Mc62fDSAXZY55VARFnUZy6MmoVYOrp6jTofEyaNVHN1fjs3qBEAX4cvMBcmERbp/gEbo\nP9x6hppMJh588EG2b9+OUqlk27ZtPPHEEzQ3N/P888+f0+NVEARB6DnfZNfw9rYCnJJM6rBAfnV1\nJv4+P1/zzNHWhuGjTbR9uxdkGVVAIOGrb8J3zNheiLp/ctjaaKz9mvKmbBTgKkFil/EKy2Jh3GVo\nBlkip69rJz+njpJCfeeMXMzwIMZNHUbUMPc+EAj9k1vP1L/97W80Nzezc+dOrrrqKgAeeOAB7r//\nfv7617/y97//vUeDFARBEFz75TbuPMPOY1UAzJ8Qy/WXJaL6mSVS2eGgZfcuGj/ZjGQ2g0pF0PwF\nhFy1GKXn0Oyv6bC301L7DabGY51FgU/Zndj907ks86pBV0uu2WBi/9fFVBQ3dV4LCvUm67JEhiWI\nSZnBwK2EbteuXbzyyitER//7aHZcXByPPPIIa9as6bHgBEEQBJcqvZFXP8ulot6IWqVg9YIUZoz6\n+ULBHXm5NLy3HltNNQDemaMIW7EKj4iIng65X3La22mp24fRcBQFEgogz2anRhvOlZnXE+ET1tch\ndiunUyIvu5b9u4pxOiTUGiVpoyJJzgxHF+EnZuQGEbcSOovFck6pEgCbzXZOGzBBEASh+8iyzPbD\nlXy4pxiHUyY0wJM7lmSQGP3TteEcLS00vPcOxqNHANDowtCtWIXPqNFD8k3caTfSWr+fdsNhFLIT\nBVBgc1Cg8GN6wlJuSJvi1mGSgcJuc5CfU0f24SraWy0ApIyMYOqcBLy8B2dLsqHOrYRu7ty5rFu3\n7qyerWVlZTz22GPMnj27p2ITBEEY0goqmtmw6wzlda7irbPGRHH9nBF4aS/8p1t2OmnetYPGjz9C\n6uhAodUSsmgxgfMvR6kZem/ksixhasqmsXIrCtnemcjl48u0+Cu4S5eJUqEcVEluWZGBPdsKO/fI\nBQR7MWlGPCPSBtfso3A2txK6hx9+mAcffJDJkycjyzLXXHMNHR0dTJ8+nbVr1/Z0jIIgCEOKxeZg\n0+5idh1zLZP6+3iwZkEK45J1P/11ZWXkPPU2xjPFgGt5NXz1TWiG4ME1WZYxt+RhqN4B9hYUQInd\nwSGbknHD5vKrmGmD7sBDfU0bJ76rpKRAD0BYpB9jJg8jPjnUrQLTwsDm1rPZ19eXZ599lsrKSoqL\ni3E4HMTHx5OYmNjT8QmCIAwpeeXNvPFFHoZWCyqlgkVT47hyShxazYXbdzk7TBg2f0Tr7l0gy6iD\ngtCtvBHfseMG1cyTO2RZxtxa4ErkbK4DAC1OiYNWieiIafwmbhZe6sFTX83plCgtNJBzuIr6mjYA\n1Golk2bFM3J8jEjkhhC3P560tbXR2tqKv7+rPk1rayvHjh0DYNy4cT0TnSAIwhBhtTv5cE8xO49U\nIQPDwny5dVEaw8IvXBtOliRa931D4+YPcba3g1JJ1NWL8Z535ZA7vSrLMua2QhqrdyJbDQC0SRKH\nrE6CdZNYFXcZvh4+fRxl97GY7eSeqOHUsWpM7a6lVa2nmrTRkYwcH42v/+BJWgX3uJXQrV+/nqee\negq73X7OPYVCIVp/CYIgXIK8sib+tTUffYsFpULB4qw4rsoajlp14XIktrpa6t9+s7Nll1dSMmE3\nrCZmbPqQapguSXY6mk/RUr8fydoIQLsk8Z3FgW/IWJZmziNQ+9MHSAYSq8VBfk4tR/eXY7U4AAgM\n8WbUhGiSMyLQeFx4JlcY3Nzu5Xrbbbdxyy234Okpsn5BEITuYLU5+WRfKdsOVyDLEK3z4ZeL0hge\nceFK/c4OE02ff0bzju3gdKLy80O38gb8Jk4ecsur5rZiGis+RbK7ElijJPGdxY4mMJMl6QsI9Qru\n4wi7j93moOBUPccPVmBsswIQFRvA2KlxxMYHDbn/98K53EroFAoFixcv7lxuFQRBEC5NTnEjb28r\noLHNgkIBi7OGs3jahWflZFmmdc/XGD7ahNTRAQoF/tNnolu2fEi17JJlGauxjJbaPdhMFQDUO5wc\nttrR+qeyKHUBET7hfRxl95FlmeJ8PXu3F2Exu1bJQsN9GZ8VR3xyqEjkhE5uJXR33nkn69atY+3a\ntURF/XwhS0EQBOH8mtutvL2tgBNnXPu8hoX5ctOVqcT/RP9MR0szdf96nY5TJwHwSk1Dt2w5nvEJ\nvRJzfyBLTjpaTtPWcAC7uR4AiyTzndVGq1ccS1IXMswvpo+j7F7NjR0c2FVMebFrKTksyo9RE2JI\nSNGh+onleGFociuhS0xM5JlnnmHu3LnnvS/20AmCIPy806VNvPzpaYxmO15aFYuz4pk/MeaCrbtk\nWab90EEa3n0HyWRC6e1D+Oqb8Js4qZcj7zuS04ax8RjtDQdwfr+0apIkjlntlCv8WZJ8PRkhqYNm\npsrpkCgp1JN7opaaihYAPLQqpsxOJH1M5KD5PYXu53YduilTpnDttdeKPXSCIAhdZLU7v68rV4Us\nQ0Z8MLdcmUrwT5xEtDc30/DOm5iyTwDgnZFJxC2/RB0Y1Fth9ynJacNoOEJbwwEkhwkAvVPiiMVG\nsVPN5fGXsyJmOirl4DgE0NrcQe6JWvJz6jqXVtUaJSPSwhifFYd/4NA6tSx0nVsJXWNjI//5n/9J\nbGxsT8cjCIIwqJTWtvHKllzqmzpQKhRclRXH1TPiUV5gpkWWZdr2fYP+/Q1IZjNKLy90y1fgP2Pm\nkJidkWUnRv0RWuv3Ijk6AKh1OPnWYqPMATOip3Bj/Hx8NN59HOmls9uclJ0xkJddS3V5S+f1EJ0P\n6WOjSEoPR+s5uIofCz3HrWfKsmXL+PDDD/n973/f0/EIgiAMCpIk89mBMj7dV4Yky0SF+nD7VenE\nRVz4AINdr6f+rX/RkXcaAJ9RowlbfTOaoKExK2duK6a5ahuO7+vINUgK9pg6KHVITIwYy5r4+YR6\nDeyuFw6Hk4riJs7kNVB+phGHQwJcxYAT08JIHxNJeJT/kEjehe7lVkLX3NzMxo0b2bRpEzExMahU\nZ09xr1+/vkeCEwRBGIgamjt4+dPTlNa69nxdPjGWZbMS0KjPvzwoSxItX+/E8NEmZKsVpa8vYStv\nwG/SlCHxxu6wtdJcvR1zi2s/dqsEOzvMFNmdRPtG8mD6CqJ9I/s4yosnyzLV5S0Una6npFCPzers\nvBcR7c+I9DCSM8LRemr6MEphoHMroYuPj+eOO+7o6VgEQRAGvMLKFl74+BRtJhtBflpuXZhGRvyF\n66HZ6uqof/N1zEWFAPhOmETYqhtRD4EyUZLTSlvDAdobDiBLduwyfGu2csRqJ9Q7jBtHzGZS+NgB\nu0/OZnVQXtzIqaPV1FW3dV4PDfdlRFoYI9LC8AsQ+9KF7uFWQnf33Xd3/rfD4UClUg2JT42CIAju\nkmWZnUer2LjrDE5JJi0uiLuXjsRLe/4/s7LTSfP2bTR+8hGyw4EqIICwG9bgN258L0fe+2RZxmg4\nQmvdns59cgU2Bzs7rPh6h3Fz0nzG6DJRKgZeaQ6b1UFZkYHiAj2VJU04nTIAnl5qMsZFk5QWRlDo\n4GlBJvQfbu+2XL9+Pf/617+ora3lyy+/5JVXXiEoKIjf//73KC9w5F4QBGEoMJrtvPjxKfLKmwFY\nMCmW62YnXrAcibn4DA3vrcdaVgqAf9Z0dL9Yicpn8L/RSw4zhopPsbQWAFDlcLK7w4pdG8x1adcy\nLnz0gEzkmg0mjh+soLhAj8MudV6PjAkgMU1HSmYEHhdI7gWhO7j17HrjjTd46623+N3vfscjjzwC\nwLRp03jssccAuPfee3ssQEEQhP4sp9jwfccHK/7eGm68PIUJqWHnfaxktWL4aBMtO78CQB0cTPia\nW/DJHNmbIfcJWZZobzxGY/UOVJINiySzrcOKXuXHwuTFTByAS6tOh0TZGQP5J+uoLGlCdk3GERET\nQFJaGPHJofj4afs2SGHIcCuh27BhA3/5y1+YMWMGjz76KABXXHEFfn5+PPjggyKhEwRhyLHanLy1\nLZ8Dp11dC+Ij/fj1tSMvWFvOXHyGutf/ib2+HlQqgi6/guCFV6HyGvz1xTraSqgt/xSNow0VUGl3\nss/hwbSEBUyNnDigEjlZljHUG8nPqaMotx6rxQGAUqkgbXQEoyfFEhg88EuqCAOPWwldXV0dw4cP\nP+d6REQEbW1t536BIAjCIFZR384/t+RSbTDhoVFyzfSEC3Z8kOx2Gj/ZTPO2L0GW8YiKJuKXt+MZ\nN7z3A+9lNksjFaWb8bDUoAFanRJHnRpSYq/kDxHjBlwiV1nazHd7SjDUGzuvh4b5kjIygqSMMLy8\nPfowQmGocyuhGzNmzDl16CRJ4tVXX2XUqFE9FpwgCEJ/YrE52PpdBZ8fKMcpyUQEe3P30pFEXWCT\nu6WslLrXX8VWUw0KBUFXLiJkyTUoNYO7PIXd0kR55VZU7WfwUIBNlsm2q4iMnsfqqMkDJpGTZZkm\nvYmSAj1lRY0YGlyJnKeXhqSMMFJHRhAafuG6goLQm9xK6P70pz9x++23s3v3bmw2G3/+858pLS3F\nZrPx2muv9XSMgiAIfe54oZ53viqkud0KwJxx0Vw/ewRaj3OTE7tBj2Hzh7Qf+g5kGU14BBG33oZX\n4ojeDrtXSZJEQeV2tI2H8FCAjEyBXYF3+AyWxM5EoxwYhwKaG00UnKyjpMBAa7O587qHVs24rGGM\nHB+N+gI1BQWhr7j16kpKSmLbtm1s2bKF4uJinE4n8+fPZ8mSJfhcxKksm83G0qVLeeihh8jKygLg\n5Zdf5n/+53/OetyaNWtYu3YtAPn5+fz5z38mPz+fxMREHnnkkbNmB7/44gv+/ve/09DQQFZWFn/9\n618JCRnYFcUFQeh7TW0WNuws4kiBHoC4CD9Wzk0iOTbwnMfKkkTLrh2uAsE2m2uv3Nz5hFx9LUrt\n4N4cf6b+OE3VXxKhcIACih0yyuAJzBp+OR6q/j8jKUkyZUUGTh6tpqqsufO6p5eG4UkhJKToiB4W\niFojEjmhf3L749Lp06cZPnw41113HQDPPvssZ86cYfTo0V36gVarlfvuu4+ioqKzrhcVFbF69eqz\nChh7fb9ZuKOjg9tuu42FCxfyxBNPsGHDBu644w6++uorfH19ycnJ4YEHHuCRRx4hPT2dxx9/nD/+\n8Y9i9lAQhIsmyzJ7c2rZsLMIi82JVqNi6awE5o6LQak8tw6ntaaa+n+9jqWkGAC/iZMIve56NCGh\nvR16r6pvryaveCNxUjsRCgUWGdp8k5gSfy1emv5dNFeWZRobjBTlNlBa+O/ZOLVaSVJGOEnpYUTG\nBojSXMKA4FZC9+GHH/Loo49y//33M2HCBABqampYs2YNTz75JAsXLnTrh505c4b77rsP+Yez3f9H\ncXExq1evRqfTnXPviy++QKPR8MADD6BUKnnooYfYs2cPX375JcuXL+edd97h8ssvZ+nSpQA8/fTT\nzJ49m/LycuLi4tyKTRAE4QetJhtvfJFHTnEjAGOTQlk5L4nQgHNPpMoOB01ffk7jZ5+C04kqMJDw\nG2/Cd8zY3g67V9UY68gp+YQ4ex0JSgUy0OgRRkriL/D27N+9Z9tbLRSeqqMot4Hmxo7O634BnmSO\niyZtdIRowyUMOG4ldC+99BJPPvkkixYt6rz25JNPkpWVxTPPPON2Qnfo0CEmT57MPffcw5gxYzqv\nS5JEaWkp8fHx5/267Oxsxo0b1/kpSaFQMG7cOI4fP87y5cvJzs7m1ltv7Xx8ZGQk0dHRHD9+XCR0\ngiB0idXm5PnNJzlT1Yq3Vs2NlyczOT38vN1xzCUl1L/5OrbqKgACZs0mdNn1qLwHb9mK8rZKDpRt\nJc5aRbpaBUoFrQovohOuJS6g/+4RdNidlBYZyM+pO2dJNTFNx4Spw/H00Zx39lUQBgK3Ejq9Xk9G\nRsY510eOHEltba3bP2zVqlXnvV5dXY3ZbOb999/n3nvvxdPTk2XLlnHrrbeiVCrR6/XnJHshISHk\n5+cD0NDQQFhY2Dn36+vr3Y5NEAShw2LnvzacoLyunQBfD/60egIh5+m16TSbMXy0idbdu1yHHsLC\nCV9zM96paX0Qde+oNtbyVfGXBJtLmeqhRqFWYUONb+RsMsOn9st2kLIsU1fVSv7JOkoK9NisTgCU\nKgUJKTpSMsOJjgtCpVKi0/mh17f3ccSCcPHcSuhGjhzJm2++yf/7f//vrBft+vXrSU1NveQgiotd\ne07Cw8N56aWXyM3N5fHHHwfgtttuw2w24+Fxdn0fDw8PbDYbABaL5Sfv/xSdThw5vxhi3LpOjNnF\n6a1xyy7U8+wHJ6hv6iAyxIc/3TqJYRH+Zz1GlmUM+/ZT+ca/sDU2gVJJ9LVXE7vielT96NBDd45Z\nTVsd7+d8hFdTAdO1Gjy0GmQUBERPJj5lESp1/9sn11DXzsmjVZw+UUNL07+XVKNiAxg9cRiZY6PO\nWzNOvEa7TozZxemJcXMroXvwwQe55ZZb2LNnD2lprk+g+fn5dHR08PLLL19yELNnz+bgwYMEBbn2\nXaSkpNDc3Mz69eu57bbb0Gq15yRnNpsNT0/XH5Kfu/9TxCeyrhOfZLtOjNnF6Y1x67DY2bjrDHtz\nXKsNsWG+3L10JF4qxVk/W5Yk9B9spOWrbQB4xicQvuYWtLGxNLXZgJ//ANkbumvMGjoMbCvdgbX5\nJDO8PPDydCVAat94dLFXoPHU0dRsB+yX/LO6S5Pe1U+18PS/V2d8fD1IHhlBcno4wTpXVQajyYrR\nZD3ra8VrtOvEmF2cSxm3n0oE3Uro0tPT2bp1K1988QXFxcVoNBqmTZvGkiVL8PX1vaigfuyHZO4H\niYmJNDQ0AK6ZO71ef9Z9g8HQeYAiPDwcg8FwwfuCIAjnc6xQz9vbC2g12lCrFCyZFs8Vk4ehVp19\nqtHR2kLD+rcxHjsKKhVhK24gYNZsFIPw9GOdqYFtpTsxNp9kupcHQT6umUeVdwy62IV4eEf0cYTn\nqqls4eSRKkoLDciyqw1XysgIkjPCiYgJEPvihCHB7bIlQUFB3HDDDedcr6urIyLi0l7gb775Jps2\nbWLLli2d13Jzczv3zY0ePZoXX3wRWZZRKBTIssyxY8e4/fbbO+8fPXqU5cuXA1BbW0tNTc1ZBy8E\nQRB+0Gqysf6rQo7kuz40jogO4JaFqUSGnF1XU5Zl2g/sp2HDeqSODhRaT6LuuhufjMy+CLtHtdna\n2XJmK+1NJ5jiqSHY17XCofAIIiRqLl6Baf1qn5wsy9RUtJB9qIry708jKxSQPiaSsVOG4R84+Hvk\nCsL/5VZCV1xczNNPP01RURGSJAGuF5PNZqOlpYW8vLxLCmLGjBmsW7eOdevWcd1115GTk8M///lP\nHn30UQCuuOIK1q1bx2OPPcaqVat4//33MZlMnadrV65cyerVqxk3bhyjR4/m8ccfZ+bMmeftPysI\nwtAlyzIHTtfx3o4iTBYHWo2KZbMSuGx8DMofJSuyJKHf+B4tO78CwDtzJOE3rEEzyGb+my0tfF3x\nDU36w0zUqjpn5BSaAIIiZuATMhqFov8U05UkibKiRk4eqaKmshUAtUbJ6ImxpI+Nwtev/+xlFITe\n5FZC9/DDDyNJEnfccQdPPPEEf/zjH6murubdd9/lySefvOQgEhISePnll/nv//5v3nrrLUJDQ/nD\nH/7A4sWLAfD19eXll1/mz3/+Mx988AEpKSm88sorncu9Y8eO5bHHHuOZZ56hpaWFrKwsHnvssUuO\nSxCEwaOpzcKbWws4WeKazckYHsRNV6QSep6ZHHujgfo336Aj9zQKtZqwG2/Cf9r0fjVDdalqTfV8\nXb4HU3MOk7VqAr1dddcUmgCCImfjEzwShaL/LCmbO2zkZddy+ngNxjbX/jcPraozkfP2OfeQgyAM\nJQr5fFV+f2TUqFFs3LiRtLQ0Vq5cyW9/+1umTp3KBx98wObNm3n33Xd7I9YeITZ0dp3YCNt1Yswu\nTneMm1OS2HW0mo/2lmC1OfHWqlkxN4lpIyPOSdBkWaZ1z9foP3gf2WpB6eND5B134ZN+btmm/urn\nxsxgbuSz4q1YWnLJ8tQQ+MN+QU0AIVFz8A7K7FeJXIfRyunjNZw4VInD7lohCgjyInNcNCkjw7ut\nALB4jXadGLOL06eHItRqNX5+rm+SkJBAXl4eU6dOJSsri7/97W8XFZQgCEJPq6hv59XP8qjSGwFX\nx4fVC1II9D13Wc7ZYaLu1Vcw5WQD4Dt+AmGrVqMOCOjVmHtKq7Wdz4q/pL0pm6memn8vrXoEEhw5\nB++gjH6TyP2wPy73RC0lBXokyTXvEJsQzKgJ0cTGBw+q2VJB6A5uJXTjx4/ntdde449//COZmZls\n2bKFm2++mezsbLT9qPaSIAgCuLo9bN5bwo4jVUiyTGiAJ6vmJTMm6fx9VTvycml49x1stTUovX0I\nX30TfhMn9XLUPUOSJXZV7uVUxU6maxWEde6RCyQ4ana/mpFzOiUKT9Vz+ng1+jpXEq5QQHxyKCPH\nRxMd179biglCX3IroXvggQe46667eO+991ixYgVvvfUWEyZMwGKx8Otf/7qnYxQEQXBbU5uFZz88\nSXl9Owpg7rgYls1OwNPj3D93tvp69Js2Yjp+DABNRAQxv78PTejgOPjQYm3l07wNxFirWerz/e+v\n8SMkam6/SuTaWy3kZdeSl11Lh8lVz8/LW0P62CjSRkXid55uHYIgnM2thC4xMZFt27ZhNpvx8vLi\nww8/5NChQwQGBorSIIIg9BsFFc08v/kURrOdsEAv7rwmk7iIc/ecyJJE05ef0/jpx+B0otBqCV54\nFUHzF6D0GPib6yVZ4kjlbprr9jFTLaP0UCMrVARGzMI/bAoKpdsVq3ouRkmmoriR3BM1lBc3dV4P\nCvFmzORYEtPC0Gj6z+laQejvLviqrqys/MkvTExM7HxcbGxs90YlCILQBbIs8+3JOt7alo/DKZMR\nH8x/LE7H7zztnSSrlfq33qD9u4MA+GdNJ3TpMtSBA385T5ZljhR+RW3JDqKUEhEakGUF6sAMwmMW\noNJ0TyH4S2G1ODh5tIq87NrO06pKlYLEFB3pY6KIjA0Q++ME4SJcMKGbP3/+WS+qHx+G/aHAr0Kh\nuOQ6dIIgCBdL32Lmne2FneVILhsXzap5yed0B5BlGeOxoxg+2IjdoHcVCb7zLnwyR/VF2N2upOE4\nDVXbiFLYiFKCQwabTxwJcYvw8Dz/3sHeJEkypYV6vt15BlO7a1k1IMiL9DGRpIyMOG9vVUEQ3HfB\nhG7nzp29GYcgCEKXyLLMobwG3tyaj8XmxEurZvmcRGaNjjpnhsfR3kbda6/ScSoHAI+YWCJuvhXP\n4fF9EXq3qm0upLx8C1GyiSgF2GWZdp8E0hKuRdsPZuQa9UYKT9VTlFvfmciFRfkxeWY80XFBYjZO\nELrJBRO66Ojoc67l5+dTUlKCQqEgNTW1szWXIAhCbzKa7by1NZ8jBa4ez+OTddx4eTIBPypHIssy\n7QcPoN/4Hk5jO0pvb0KvWUrArDkoVAN7f1ZjWxmlZZ8Q6mghSqHAIcs0ayPJmrAGq7lvDxF0GK0U\n5TZQeKoeQ4Ox87p/oCejJ8WSPiZK9FcVhG7m1s7YhoYGfvOb35CdnU1AQACSJGE0Gpk6dSr/+Mc/\n8Pf37+k4BUEQANfBh5c+OU2ryYbWQ8X1c0Ywe8y5s3LWmhoa3n0bc75rS4hXSioRv/wPNMHBfRF2\nt2lrL6Wi9FP8na2EAU6gXhXIiPilJPjF4O/rh97c+8Ve7XYnpYUGCk/VUVXWzA+7dLSeahLTwkjJ\nCCc82l/MyAlCD3EroVu7di1arZYdO3YQExMDQHl5OWvXruXRRx9l3bp1PRqkIAiCwynxxcFyPtlX\niixDckwAty5KIyzI+6zHSXY7TVs+oWnbl+B0ovTxQXf9CvyzBnbrruaWIiortxHoaMIf19JqndKP\nhPglTAwc0ScxSZJMZWkTxXkNlBQasNucACiVCoaPCCE5M5y4xBBU6v5RHkUQBjO3ErojR47wwQcf\ndCZzAHFxcfzpT39i1apVPRacIAgCuJZYn/swh8IqVzP2RVPjuGZGPCrl2YmCpayMutdfwVZTA4D/\njJnoll2Pyrfv95JdLKfDzJmi9XhZaggEHLJMCT4kDF/CtODkPonJYXeSf7KOYwcqMLVbO6+HR/mT\nnBnOiLQwPL26pyWXIAjucSuhi4uLIy8vjxEjzv4UWF1dfd69doIgCN2lvrmDf7yfTX2zmUBfD355\nVToZw89eNpUsZhq3fELz9m0gy2jCI4i49Ta8Evtm5qo7yLJMZd1+jHW78cWJXZYpU/gxLHY+c0Mz\n+2S2sbmxgzN5DZw+Vo25ww64TqomZ4QzIj2MwGDvn/kOgiD0FLcSumuuuYa//OUvnDp1ijFjxqBW\nq8nLy+Odd97h2muvZdOmTZ2Pve6663osWEEQhpbc0kYef+soRrOd2DBffnfdKIL9/73hX5Yk2vZ/\ni+GjD3C2tYFCQeD8BYResxTlAG5LWGXIxlC5lWCs+AIGp4wtbCaXxc7u9UTO2GahKLeBM7kNZx1w\nCA33ZdzUOBJSQgf0UrYgDBYK+ccF5s7jsssuc++bKRQDrtyJXt/7m4cHOp3OT4xbF4kx67q959rR\nggAAIABJREFUOTW8va0Qh1NiZEIIv7o6Ay/tvz+D2hoaqH/jVcxFhQB4JiQSturGAV2KpKa9msKS\nD0mQWgDokGT0XrGMTlyGvzbAre/RHc81p1OisrSJgpN1lBYaOg84eGhVxCfrSM4IG3QlR8RrtOvE\nmF2cSxk3ne7czjc/cGuGbteuXRf1gwVBELrKaLaz/qtCvsutB1yFglfOS+rcLydLEq17dqP/YAOy\nzYbK3x/d8hX4TZk6YBOMyrYqTpdtIdZeT4JSiSTL1HmEkZpwHanevddX1m5zkpdTy7H95Z1Lqkql\ngvjkUJIzwhmWECwOOAhCP+V2Q79vv/2W1NRUQv4/e/cdHld553//faaPNNKozahLltUt2ZJ7tzFg\nwDamGxIICQQIC/uE/WW5dsNmE5K9gOR35bnybDbZkA2B0EIgpho3sMG94S4XWZYlq/dep5/z/DFG\n4AXbkpBs2f6+/so15Zx7TjyjD/e5v987Opr333+f9evXk5+fz2OPPYbRKItfhRDf3JHyVl5eX0JX\nrxeTUcdjd0yiIO2L9XLuqkqaXn0ZT3UVAGEzZuG89zuXbdFDbU8dB05/SLKviQl6Heh09CkWYlKW\nMCt64kUZg6ZptDb1cvJYI6XHmvC4/QBExoSQnR9H5gQntvBL29dOCHFhgwp0L7zwAs8//zyvvPIK\nlZWV/PSnP+X2229n3bp1dHd389Of/nS0xymEuIJ193l5d2s52480AJCRZOehZbnkZ8XS0tKD6vUG\nix4+Xg+qiiEyCsc93yJs2oxLPPLhaeht5ODpD4jzNjJZrwO9Drdiwh5/DcnOmRdlptHnC3DicAPF\nRfV0tPYPPB6bEM7kWSmMy4y+bGc8hbgaDSrQvfXWW/z2t7+lsLCQp59+msmTJ/Pss89y5MgR/uEf\n/kECnRBiWDRNY/fxRt785BR9bj8GvcLtC8Zz4/SUgZ0E3JUVNLz4J3yNjcGih+tvIOb2Oy/Looem\n3gaOnf4Ap7eJiWeCnEcxYo+dS3LsXBTd6O9e4fcHOHm0kf07qujvC27FZbEayJwQS/bEOGJibRLk\nhLgMDSrQtbW1kZ2dDcCWLVv43ve+B0BERARut3v0RieEuGJpmsarH51kW1GwZ1zeuEi+dX0WiTGh\nwecDAWpWvkP1WyshEMAUn0DsA9+/LFuRtPY1U1L+Nk5fK5k6BfQ6XIqJiNi5JMfORtENevXLsPl9\nAU4ea+LwZ9V0dwZ/tx1xwUrV1Ixo9HpZGyfE5WxQvyLp6em89957REdH09zczHXXXYfX6+XFF18k\nNzd3tMcohLjCdPZ6eGntCY5XtGMy6vjO4mzmTowbmBny1NXR+Jc/46mqBCDi+sXE3LkCndF0CUc9\ndO39rRSdfh+Hp44UnQ50Cl2KFUfCIpIdU0d9JkzTNBpruzh5rImyE80DOznYI63MXJjG+GyHzMYJ\ncYUYVKD78Y9/zBNPPEFXVxff+c53GDduHP/xH//Bpk2b+NOf/jTaYxRCXEGqGnv4/XtHaO/2EGox\n8MjyPCalRwPBANK9YxvNb7yO5vdjdsTg+O73CcmdcIlHPTTegI+dpW/i7K8gXaeATkevYiIqeRkT\nL0KxQ3eni9LjTZQea6KrwzXwuCMujIIZSaTnONDpZEZOiCvJoPrQAaiqSk9PD3Z7sBdSa2srdrv9\nsq9wlR46Qye9h4ZOrlkwrO0pbuLV9SV4/SoZiXb+8Y6J2EODs26B3l6aXn+F3gP7AQift4Dcf3yE\njr7ApRz2kKiayuG6XXQ1biFdrwLQg4nI+IXEx84a9dmwtuZeSo81cXhvzcBjoTYTWflxZOfHEnnm\ndrb4KvmODp1cs+G56H3odu/ezfTp0zEYDOzevfu8J5g9e/awBiaEuDp09Hh47aMSisrbAJg3MZ77\nb8zCaAgWAfSfKKbxL3/G39GBYrYQe9/9hM+ZiyEkBPrG/h8MTdM42nSA1toNjNf5iNEr+DXQO2Yz\nIen6UQ1yPV1uSo83cfpkC61NwZ0cdDqF9BwH2RPjSEyNHCgwEUJcuc4Z6B588EF27txJdHQ0Dz74\n4DkPoCgKJ06cGJXBCSEub5qmsa2onpWby3B5AljNeu5elMGCggQURUELBGj94D06PloHmoYlPYO4\nh3+AyeG81EMftOruGg6WvU2u1kOGXkHVFPosiYwfdytma8yonNPvC1B+soXSY03UVnYMPG406Zk4\nJZHsSXGyr6oQV5lzBrqSkpKv/d9CCDEYbV1uXlpbTEl1cBurwowY7r8xm8iwYLsRT309Ta+8hPt0\nOeh0RC+/lahly1H0o9+6YyS4/W4+Ln2buL4yphj0oCj0G6NITb8Hq3V0dndwu3ycKGrg8GfVuF3B\nBsB6vUJaloPMCU6SxkUSnxAht8GEuAoNqiiipqaGsrIy+vr6CAsLIzMzk4SEhNEemxDiMnWwtIWX\n152gz+3HZjVy3+IsZuQ6B2499pecoO53/4nm9WKIjCTukX8gJCv7Eo96cDRNY3/jfppr1lNo0FAM\neryKkeikJSRHF4zK7VW/P8CeLac5frAeVQ0ue3bE2cgtiCcj14nZcnmvZRZCfHPnDXS7d+/mV7/6\nFadOneLLtROKopCXl8dTTz3FtGnTRn2QQojLQ0ePhzc/PcX+kmYAJo6P5uGbcwkLCRY+aJpGz+5d\nNL3+CprPR+jkKcQ98BD60MtjsX51dxUHT71DFj1MNOpQNQV95CTGJy9Bpx/5RseBgErlqVb276yi\nvaUPRYHktEgmTU8mOS1SWo4IIQacM9Dt2LGDRx99lGXLlvH000+TkZFBWFgYvb29lJSU8O677/Lg\ngw/y2muvMXny5Is5ZiHEGHTgZAt/WXcCl8eP2ajnzoXjuXZqErozoUPz+2l48QV69+8FwL7gGpzf\n+S7KZdA+o93dwd5T75DoqWOKXgfo8BrCSRq/Akto4qic8+SxRvZuq6C32wNAeISFxbdOwBkfPirn\nE0Jc3s4Z6P7whz/wwAMP8C//8i9nPW6325k5cyYzZ84kNjaWP/7xj7zwwgujPlAhxNjkD6is2VXJ\n6p2VaMCk9GjuW5yFI8I68JpAfx+Nf/4TfUePoLNacXzrPsLnzB3zM0w9nl72nF6FtaeUCUZ9cIcH\nnYXYpBuxR00a8fFrmsbpky0c3ltDc31wHVxElJX8KYnkFMRjNF4e6wuFEBffeYsinnnmmfO+efny\n5bz//vsjPighxOXhVG0nr6wvoaEtuLn7HQvGs2x26llBx9/TTe2v/y/ehnp0oaEk/tM/Yx2ffqmG\nPChuv4dtVRsxtu0n26gDox4fOkJi55McPx9FGdlZxYBfpaq8jUN7qmluCAY5k1nP7GvTyZ0UP+aD\nrxDi0jtnoHO73QNNhM8lMjKS9vb2ER+UEGJs8/gCvL/tNBv31aABsZFWHliSQ3ZK5Nmvq6+n/r//\nC19zE6aEBBJ/+COMjtGpAB0JATXA7todtDRsId8IZqMOHwrGqKmkJV2LTm8Z0fN1d7ooPtzAiSMN\nuPt9QLAR8JQ5qWTnx2E0yYycEGJwzhnoNE274NYwiqIwyI0mhBBXiPL6Ll5cc4Km9n50isLSWSnc\nMjcNo+GL3wtN0+jdv4+m115GdbkwJ6eQ+E//jCEi4hKO/Nw0TaOo6SA1NR+Rq/eTYgrOiAVCkkhN\nuwuDaeTWramqRk1FO8cP1lFV/sV/EEc7QsnMjyWvMAGTeVANCIQQYsB5fzXWrFlD6Hmqz3p7e0d8\nQEKIsamrz8vqnRVsPliHBiTEhPLQslzS/tcifV97G81vvkHfoYMA2KZNJ+7Bh9GZR74KdCScaiuh\ntPJDshQXBQYFUPCaY0lKWYLFljJi52lt6qGyrI2SI430dLkB0OmDOzrkT04kNjFcbq0KIYbtnIEu\nISGBV1999YIHiI+PH9EBCSHGFrfXz7o9VWzYV4PXp6IosGRGCrfNTxvYuguCVawdGz+mbfUqNK8X\nncVCzF13Y1+4aEwGldquSkpOv0+S2s1EXTDIuYxRpKTegjVsZIKcpmlUnmrl8Gc1NNZ1DzweZreQ\nNzmBnElxWM+0dBFCiG/inIFu06ZNF3McQogxqKisldc+PklHT7B1RmFGDLcvGE+y03bW6/pPFNP8\nxut4GxsAsE2dhuOeb2OMir7oY76Qut4GdlSsI9dTQ5ZeBzqFPn0YianLSbFnjNh5+no9rF15hLbm\nPgDMFgPjsx2kZcWQnBYl+6sKIUaULNQQQnyFy+Nn5eYyth6uByAtPoxvX59FRuLZhVL+zg5aVr5F\nz97PADDGxuK8935C8/Iv+pgvpM/Xz9snV9HXcZSbQs0Y9Tp6dVbiUpaTHJE9orOIHW39rH/3KF3t\nLixWI1PnpJJbEIfRJD+5QojRIb8uQoiz1DT38vwHx2hq70evU7hzYTo3TE8+a0ZJ8/vp3PQJras+\nQPO4UUwmopbeTOSNS9AZx9Y2VN6Al001O9hSvZVrzSo5tmClqsGeS+6421F0I/czqGkaZSea2fZx\nKV5PgGhHKMvunkRo2NhcPyiEuHJIoBNCDNhzvJGX15fg86skOUJ59JY8Eh1n3151lZfR9NoreOtq\nAQgtnIzzW/dijBlb7Uh8qp/d9fv4qPITYrV+vh1iJlJvBJ2RyMTF2KKnjuisXG+3m01rS6ir6gQg\nNSOa65fnSsWqEOKikF8aIQSaprG1qJ6/flyKqmksKIjn3uuzMH1pZwJNVen4+CNa33sbNA1jjAPH\nvfdhm1R4CUf+VZqmcajlKO+dWkNEoIe7QszE6IO7VhgsDmLG3YnJ6hzR89VXd7J53Ul6utxYrEZm\nXTOenElxY7IYRAhxZZJAJ8RVTlU1/r6pjI37awC4ec447lgw/qzXeBvqaXr9VVylJwGIvGkp0bfc\nhs40dio0NU3jSGsx6ys2oroaWWQxkRkSDHJ6YzjhsXOxxUxBUUamWa+maZw40sCRfbV0tAZ3ynDE\nhbHs7olSuSqEuOgk0AlxFevq9fDaxyc5dKoVvU7hgSU5zJ34RSsi1eul4+P1tK9djeb3ow8Lw3n/\nA4RNmXoJR/1Vzf0tvF36IR1dp5hvNZEWHgKAohiwxy8kzDlrxILc5w7vrWHP5tMAWEONTChIoGBG\nMmaL/KwKIS4++eUR4ipVWtPJf793lF6XD6tZzw/vmERO6hdbd/UeOUzTq68Q6AquCQuftwDHXXej\nt9nOdciLzhvw8nHVZg7WbGWGWU/e50FOZyLMMZMwxwz0xnM3Rx/WOT1+9u+opGhfcA3h/BsyyS2I\nR68f2f1dhRBiKCTQCXGV6XcHW5JsKwq2JMlOjuCBpTnERgbDkK+tjea/vU5f0WEAzCmpOO7+FiE5\nuZdszP/b57dXd5Z/QL7Ow4PhZ/ZYVfSEO2cR5pyN3hAyoudUVY2TRxvZu72C/l4vADMWpJE/JXFE\nzyOEEMMhgU6Iq0hdSy+/f/cozZ0u9DqFpbNSWT53HIYzs0s9B/YH91/t60NnsRB9y21EXH8DygX2\ndb6Yqrtq2Hn6AxJ9LdxsNgAGNMVAWFQB4XFzMZhGfr/YlsYeNq0tob0l2CTYmRDGghuycMSFjfi5\nhBBiOCTQCXEV0DSNNbsq+XBnJQFVI9lp49Fb8kiICd6ODPT20vzmX+n5bA8AIfmTiHvg+xgiRj4c\nDVdDbz37y94nztfMXIMejAZURY/dOQe7czY6g2XEz6lpGgd3VbFvRyWaBmHhZmYsHE/mBKdUsAoh\nxhQJdEJc4TzeAB/urGD9Z9UowDWFCaxYlIH1TH80b1Mjdb/9Db6WFhSTCcddd2O/5toxMyvnC3jZ\nVfomUf0VFOh0YNDjVQzYnbOIds4ZlSAH4PMF2LKuhLITLQDkFsQzb3EGBsPIFlcIIcRIkEAnxBXK\nH1DZerie1bsq6e7zogAPL5/A7Ly4gdd0bt1M6zsrUV0uzCmpxD/6OKbY2Es36C9RNZXdpRvpPL2R\nNJ0GOh39ionouAUkO2eM6A4PX6ZpGhWlrezeXE53pxujSc/1t+QyLiNmVM4nhBAjQQKdEFcYTdM4\nXtHOG5+coqk92B8tLT6Me67NJCs5YuA1nZ9+QstbbwBgmzyVuIceQWcZndmuoapqPUZF1WrSFC9O\nnUKfBhbnXLITF6EoozNz6Or3UnKkkRNFDXR1uACIjA7hhtvyiHKMbKWsEEKMNAl0QlxBOno8vLK+\nhKOn2wCIiwrhzoXpTMmKGVjz5e/qpOn1V+k7fAgA5333E7Houks25i9rai+mpno9DrWX8TqFgKbQ\nZ00lO/0ujCPcfgSCwbb6dDvHD9ZTU9GOqmoAhNpMTJ6dQt7kBHRj5NazEEKczyUJdF6vlzvuuIOf\n/OQnzJkzB4DOzk6efvppduzYQUREBD/84Q+5/fbbB95TUlLCz3/+c0pKSkhPT+cXv/gFkyZNGnh+\n3bp1/Od//ifNzc3MmTOHZ599lujo6Iv+2YS4FDRN48DJFl7fcJKefh8hZgPLZqeyeHryQAUrQN/x\nYzS++CcCPT3orFYc37oP+9x5l3DkwbG3th2hqf5TwgO9OAE/0GGMZs7U7+HxjE7fu64OF9s3lFJT\n0QGAokBKehR5kxNIGR+NTidFD0KIy8dFD3Qej4cnn3ySU6dOnfX4U089RX9/P2+++SZHjx7l6aef\nJjU1lSlTptDf38/DDz/M0qVL+eUvf8lbb73Fo48+ysaNG7HZbBw5coSnnnqKX/ziF0yYMIHnnnuO\nf/3Xf+Wll1662B9PiIuuuaOfv24s5djpdgAmjIvk4ZsnEGEzD7xG9XppX7ea9rVrQNMIyc0j9sGH\nMEZFXapho2ka7a2HaKn/hBDVTTjg0TSaDFFkp93O+LAkwsPDaGnpGdHzdrb3c6KogWMH6/D7VExm\nA1Nmp5A9MY6QUNmySwhxebqoga6srIwnn3wSTdPOery6uprNmzezYcMGUlNTyc7O5tChQ/ztb39j\nypQprFu3DqPRyFNPPYVOp+MnP/kJW7duZf369axYsYK//vWv3HDDDdxxxx0A/PrXv+aaa66hqqqK\n1NTUi/kRhbhoNE1jy+F63t5chtsbwGrWc9fCdBYWJp41u+QqL6PxLy/ia2oERSFq+a1EL7/1klax\n9vTWUVPxLjZ/JyFAj6rSaIgmM2UZ8yLHX/D9Q6VpGqdPtnLsQC31NV0Dj2fkOpi3OFP2XhVCXPYu\naqDbu3cvM2fO5Ec/+hGFhYUDjxcVFeFwOM4KX1OnTuX5558feH7KlCkDa1kURWHKlCkcOnSIFStW\nUFRUxPe///2B98bHx5OYmMihQ4ck0Ikrks8f4OV1JewpbgJgWo6T79yQRfiXgonq9dK26j06NnwM\nmoYpPgHn/d8jJCv7Ug2b9p5qqipXEeFrx6YouFSNEp2dyZl3kBeeMuLnCwRUyktaOLKvlpbG4Eyf\nwagjI8dJbmE8cYn2ET+nEEJcChc10N17771f+3hLSwtOp/Osx6Kjo2lsbBx4Pi0t7SvPl5SUANDc\n3Py1729qahqpoQsxZnT3efn9e0cor+vGbNTzwJIcZuSe3ejWVV5G48sv4msMzspF3rSU6FtvQ2e8\nNDNRbT3VlFeuwulrJ1pRUIEqrDhTlnBLTN6IN+n1uP2UnWiiaG/tQMVqSKiJKXNSyMqLw2yRejAh\nxJVlTPyquVwuTKaz/9CYTCZ8Ph+app3zea83uJ+i2+0+7/Pn43DI1j3DIddt6Ebimh0pa+E3bxyg\nvdtDTISVpx+aSVrCF7NMqtdL9d/eom7ValBVrEmJZD7x/xCWnfWNzz0cDc0nKT7xHuHuNuLOBLlG\nQxhZubczPX7ioI4xlOumqRrHD9ez/v2juPp9AETFhDL7mnQmTU3EaBoTP3mjTr6fwyPXbejkmg3P\naFy3MfHrZjabvxK+vF4vFosFRVHO+/yF3n8hI73g+mrgcIz8QvUr3Te9Zl5fgPe3n2bD3ho0ICPJ\nzuO35WMz6gaO62tvp+6//j+8dbVnzcq5jSbcF/n/r+bOU9RXryUq0E0EEAAaFBvJqUuZEZUDDO67\nN9jr1t/rofhwAyVHGujp9gAQlxRO3uREMnId6HQ6Ortc3+QjXTbk+zk8ct2GTq7Z8HyT63a+IDgm\nAl1sbCytra1nPdba2orD4Rh4vqWl5bzPn+/9QlzOTtV28pe1J2jqcKEocPPscdw2L+2swoe+Y0dp\nfPEFAr09GGPjiPv+w1jTMy76WNt66ig9/S7xgQ6iFAWvptGgtzMueSkzo0Z+lrCpvptDu6upLGvl\n81qrMLuFKbNTyC2Il/1WhRBXjTER6AoLC2lqaqK2tpakpCQADhw4QEFBAQAFBQX88Y9/RNM0FEUJ\nbph98CCPPPLIwPMHDhxgxYoVADQ0NFBfX39W4YUQlxufP8Da3VWs3V1FQNVIjAnl+8tySYsPH3iN\nFgjQtup92tetASAkL5/4R/4BvW10eredS19/I2UVqwjzNJJ45tZqvc5Ocupy5keMbNWq3x+g8lQb\nJUcaBnrI6XQK4zKiyZuSQNK4SAlyQoirzpgIdMnJycybN48f//jH/OxnP+P48eOsXr2a1157DYCb\nbrqJ3/zmNzzzzDPce++9rFy5kr6+PpYuXQrAt7/9be6//36mTJlCQUEBzz33HAsWLGDcuHGX8FMJ\nMXy1zb38eU0xNc29ANwwPZk7F6ZjNHzRasTf2UHDC/+Dq/QkKArRt95O1NKbL2o7kt6eaqqq1mDz\nthKpgAY0KSGkpt3KrIjMET2X1+Pn8N4ajh2ow+P2A8GK1YlTk5g0LZGQL/XdE0KIq82YCHQQ7B33\n7//+79x9993ExMTw7LPPMnnyZABsNht/+tOf+PnPf87bb79NdnY2L7zwArYzsxCTJ0/mmWee4Xe/\n+x2dnZ3MmTOHZ5555lJ+HCGG7Uh5G3/84BgeXwBHhIXvL80lOyVy4HlN0+g9sI/mN14n0NOD3h5B\n/KOPXdR2JG5XC6fLV2LztREG+NGoUs0kJC1meuzUET1Xe2sfxw/WcfJYEz5vAICYWBvZ+XFk5cdi\nsRpH9HxCCHE5UrT/3eX3KiMLOodOFsIO3WCumaZpbNxfy8pNZaiaxuy8WO6/MRvLlyozfa0tNL/x\nOn1HjwAQkptH3COPYggPP9dhR5Qn4GVf9WaiOz4jVAGvpnFas5KUtJhcZ+GI3epUVY366k5OHmmk\ntPiL9kPxyXamzxtHYmrked59dZPv5/DIdRs6uWbDc0UXRQhxtatt7uXNT09xoiq4JuymGSnctSgd\n3ZmApGkanZ9+QtsH76K63eisVmLuXIF9wTUX5RZrv6+frbW7KG/YwXVmCNXpaFB1hCYtZbFz8ogF\nOb8/wKnjzRz+rJrO9mBVqt6gIzs/lvwpiUQ7L+7aQCGEuFxIoBPiElI1jU/21fDO1nL8AY1Qi4EH\nluQyNfuLCm1vczPNr79K/4njANimTsN573cw2CNGfXxdnh4212xnW90ucvQqy0PMKIqCz+xkavaD\nGPTffN2aqqrUVXVSVtzM6dIWvJ7gbVVbuJnJM1MYn+OQPVaFEOICJNAJcYk0tPXxyvoSTtUG9xZd\nUJDAXdekYzuzJkzz+2n/eD3taz5E8/nQhYYS+90HCZs6bdTH1uPtZUPVZrbV7cav+pliNrI4JNjX\nMTxuAfa4BSjKN58ZrK/pZNvHpXS09g885ogLY+LURDImOImLs8stHSGEGAQJdEJcAscr2vnv94/i\n8QawWY08uCSHyVlfzMq5TpfT/PoreGpqAAibPQfH3d/CEDa6a+W8AR+fVm9jQ/VmvAEvETqFW6Oc\nxGnBwBWZeCNhzpnf+DyapnFoTzWfba0Agr3jsvNjyZjgJDI69BsfXwghrjYS6IS4iDRNY+O+Gt7e\nUk5A1ZiW4+SBm7IJsRgHnu/c+DEtb/8dNA1DTAyx332Q0Al5oz620o4y3jjxDq3udkIUhdsjYxlH\nP2j9KIqByOSl2KK/eW/H6tNt7Nl8mraWPgCmzElh6pxUDAb9Nz62EEJcrSTQCXGR9Lp8vPZRCftP\nBnc9WTIzhTuv+aLwwV1VSes7K+k/UQxA5A03EX3r7ejMo9tfraW/jVXl6zjUchQjcFNYFJOMKorW\nByiERhVij1+IwWS/0KHOydXvpfxECyVHG2lpDN5CDQ0zM/e6DNJzZEcXIYT4piTQCXERnKxq55ev\n7KW924PZpOfhZRMGCh98ba20vvcuPZ/tBkAXEhJcKzdt+qiOqaanno8qP6Wo5RgKGtMsZhaGhGDQ\nvKCBJTyTiITrMFmdwzp+IKBSUdpKyZEGais7BrbmMpkNTJ2TQv7URJmVE0KIESKBTohR5PL4eX/b\naTYdrEXVID0hnEduycMZYSXQ00PHpxvp2LgBzeNGMRiIuPZ6opbePKpbd1X31PJh+UecaC9FBxSY\nTcwPDSVE84HmwxSSSETi9VhsqUM+tqZp1FZ2UFbcTGV5G+5+HwCKAinjo8jKjyUtMwaDUYKcEEKM\nJAl0QoyS5k4Xz79/lOqmXnQK3DgjuH2XXlPp2PAxbWtWofYHiw1sU6biuPtbGGNG7/ZjU38L75et\n5WhrMTpgssXCgpAQLJoXNB8GczQRCdditecMua+cqmpUlbVStK+WhpqugccjY0LIm5xARq4Ta4i0\nHhFCiNEigU6IEaZqGtsO1/P2ljJcngDOSCs//f5MbEYdqs9L3e9+O7BOLiR3AtG33IY1M2vUxtPj\n7WV95Sdsr9uDTlOZYbEwJyQEs+YFzYvBHI09bj4hkflDbkXicfsoOdLI0QN19HS5ATBbDEyalkRa\ndgxRMaEj1nRYCCHEuUmgE2IENXX089pHJwd2fJia5eB7S3JIS7BTc+AYLSvfwlVyAn14OLEPPIRt\nUsGojcUb8LK5ZgcbqrbgDrjJNBpYZgvHjP9LQW4BIZF5Qw5yvd1uDu2ppuRoI36fCkB4hIX8qYnk\nTIzHbJGfFiGEuJjkV1eIEeDy+Pnos2rWf1aNP6Bisxr5zg1ZTM9xEujqovS3b9CyeQsPzI1EAAAg\nAElEQVQAutBQkp78V8yJSaMyloAaYFfDXtZVfEK3t4cUg57FkVHE4AX8GK1x2OMWYLVnDTnItbX0\ncnhPDWUlzaiBYJVDYmoEE6clkZoejU4ns3FCCHEpSKAT4hvQNI2dRxt5e0sZPWcKAObmx7FiUQZh\nZh0dGz6i7cNVA0UP9msWEXnDEoxRUaMynsruat4seY/a3npi9TruirDjUAKAF0VvwR63gDDHzCHd\nBlVVjYrSFor21dJU1z3weHqOg6lzUmV/VSGEGAMk0AkxTC6Pn7+sPcGB0mBfufTEcO5elEFGop2+\nosNUvfcO3vo6AKJmTif8ljsxxcaNylj6ff18ePpjdtTtwalXuDMsjHQDKATQ6a2EOWcSFjMDncEy\n+GP2eSkrbubYwTq6OlwAGE16svJjKZyRTHiEdVQ+ixBCiKGTQCfEMDR39PO7d49S39qH1azn3uuz\nmJMfh6v0JDW/+j3u0+UAGB0OnPfdz7hFc0dlT9KAGmBn/V7WVWwkQuvnHpuFVKMe0AAFm2MGEfGL\n0OkH15xY0zSqT7dzZF8ttZUdA4+H2S0UzkwmOz8Oo0lajgghxFgjgU6IITpe0c7/rDpGn9tPfHQI\nT9w1CUeInpY336Bz0ycA6MPCiFpyM/ZFi9AZR6ddR2NfE68Uv4nO1cRyi4lkYwgAis6ELXoyYc6Z\nGEwRgzqW2+XjVHETxw/W09EWbKWi0yskj4ske2IcaVkx6HRDW28nhBDi4pFAJ8QgqZrGhzsqWL2z\nEg0oSI/mB7fkoVWVU/Xyi/haWkCnI2rJMqKWLENnGfztzaFo7m9h3elPaO04ygKLkaSw4K1Pnd6C\nzTGDcMesQd9a7e12U3KkkaJ9NXg9ASC4JdfEaYlMKIjHfGaPWSGEEGObBDohBsHjDfDi2mIOnGxB\nUeC2uWnckGai/eU/0bt/HwCmpGTivv8wlpSh77AwGK2udj6u2Eh3+xGmmg3E2YKhTdFbCXfOJswx\nfVC3VjVNo7KsjeLD9dScbh/YkisxNYIJhQmkZcWg18tsnBBCXE4k0AlxAaqm8ec1xRwsbcFi0vP4\nwniiD2+k+tXdoGkoBgORNy0l+uZbUAwj/5Vy+V18Uvkpnc17mGo2YAs9E9r0ViJi52CLmTboNXKN\ntV3s2lROU32wWlWnV0jPiiG3IIHE1AhpAiyEEJcpCXRCXMCanZUcLG3BblD5YVgF/v95hR5NA70e\n+/yFRC1bjjEycsTP6w342Fa7k4b6Lcw0KViswbV4ijmayNg5hEZORNEN7ivc1tLLZ1sqqCpvA8Aa\namTyzBSy8mNlSy4hhLgCSKAT4jwOlrbwwY4KUvsb+VbvXvwlnaDTET57DtHLb8PoGPm9V11+F5tr\ndlBav4vZJpUsS7CqVLM4cSZejyUsfdAzaZqmcXB3Nft3VKKqGgajjoLpyRTOTMZklq+/EEJcKeQX\nXYhzOHCymZdWH2V6xwmubT+IoqmYx6UR9+BDo7LLQ6urnS3V22lqPcBEI9wRYgD0qHorjuSbCY3M\nHfIxD+6uZu+2CgDyJicwbd44QkJlRk4IIa40EuiE+BrFle18+OanfKdpDzG+LgAib1pKzO13ouhH\ntg9bl6ebNeUf0dB2mPkWIzNCgl9LTTFgj51DuHMOOv3QQ1hHWx/7tgfD3I235zE+e+RnE4UQQowN\nEuiE+JKAqrJl1yk633+H+7pOAWCMjcNx1wpsk6eO6Ln6ff1srNpCfdNuppp0zD9TtYo+hIi4edii\nCtAZhr8bw95tFWgaTCiMlzAnhBBXOAl0QpxR39rLhj+/S2HFLpJVD6pOT8yym4laejM648j1Y3P5\nXWyr3c2xuq3MNcHkkDPH1luwO+cQ5pyJTjf886mqxtH9tZw+2YrBoGPq3HEjM3AhhBBjlgQ6IYBD\nRRW0/eXPzOmrByCQnM74HzyEOT5hxM7h8rvZUr2d0w07mGKCFSFnih30VqITriM0atKgq1a/jqZp\nnDrexP6dVQN7r85aNB5b2OBamgghhLh8SaATVzVPv5tNL71D3LEdpATceI1W4u+9j6h5c0esJ1tA\nDbChbBufHvuQuSaV5Z8HOZ0Ju2MG4bFzB91H7utomkZDTRefbaugsTa43i/MbmHWNePJyHWOyGcQ\nQggxtkmgE1clTdOo3bmX5rfeIN0dbLLrjh9Hzv/5Iabo6BE7x7G2E+wuX0220sfdZ6pWNZ2ZyPiF\n2KKnDKvY4XOqqnL6ZCtFe2tobugBwBpiZNY148nKj0OnkybBQghxtZBAJ646/WVllL78OiFNVYQB\nHZYIYu9cQeY1c0ZsVq66u5YPyz4k1dvATWYjYEBT9ITFTCMi/ppvNCPn8wYoLqrn6P46errcAFis\nBvKnJDJpejJmi3ythRDiaiO//OKq4W1spH7lSrxHDhIC9OvMNObPZf5DKwgNHX416ZfV9tSzvvJT\nujuKuTHUTLjZiIZC/PjrMIRO/kZVqz5fgOMH6zn8WTWufh8A9kgrk6YnkT0xDqNxZNupCCGEuHxI\noBNXPH9XJ20frqJz21YUTcWn6DniyGfi/Su4KXdkGgS39LexrnIjJ5sPM89i5MawYHAzWONxpN5G\nQsp4Wlp6hnVsny9A8aF6Du35Isg548OYMjuF1IwYubUqhBBCAp24cmmBAB2fbKBt1QdoXg8aCkXh\nmTQVLOC7d87Abvtm1Z+apnGqs5zNNTspaS1mlsXIw+FWDIoCip6I+EWEOWehKLphHd/j9lO0t4bi\nw/VnBblp88aRMj5qxG4PCyGEuPxJoBNXJH9XF3W/+088VZUAnApNYlfsdOZdW8hdM1PQfYMwFFAD\n7G86zKc122jsbSDPZOBhewhhZ2bKQiInYo9fiNEcNazj9/V4OH64nuMH63G7JMgJIYS4MAl04oqi\nqSo9+/bS+u7b+Nvb6DOHsTZqOn1JmfzzPYU4Ioa/hs0b8LGnYR+fVG+lx91BodnIHXYbIWcm4Ewh\nCUQm3YQ5dOi3cT9vPXL8UB2nT7aiqhoAcUl2Zi5IIz7ZLkFOCCHEOUmgE1eM/pMltLz9dzyVwf1L\nm60xvBW7CGOEnZ99ezJR4ZZhHdcb8LGjfg8bqjbT7+2lwGxkfoQNy5l8ZbTGEe6cTUhk/pBDl6Zp\nlBxp5MCuqoGKVUWB8dkx5E9JJCElQoKcEEKIC5JAJy57vrZWmt98g77DhwDwh4Sx0ZbPkbB0slOj\nePjmCcMKc5qmcaC5iPdOraHH281Us5E5EWFYlODsmSk0CXvcAixh6cMKXY11XXy2tYL66k4AbOFm\nsvJjyStMwDbM8CmEEOLqJIFOXLY0TaN7xzZa/v4mqtuNYjJTNm4qH/hT8emMLJudym3z09Drhl6U\n0Opq462T73OivZRMo55vR4RjV1RAw2iNxx43H6s9e1hBrrfbzZ4tpzlV3AyA2WJg3vUZZEyIlYpV\nIYQQwyKBTlyWAj09NP7lz/QdPQKAmj2R1w0TafAYMFv0/ODGbGblxQ35uC6/i41VW9lUs41EncYD\n4aHE6hVAxWCOIjLxBizhmUMOch63n5PHGjlV3ExtRTuaBgaDjkkzkiiYnozFahzyWIUQQojPSaAT\nlx13ZSUNf/4ffE2NKFYrR7MXsaYnGgIKGUl2Hr55As4hFj8E1AA76z9jbcVGLAEXt1hNZJiCXw+d\nwYY9bh626KkousE37w0EVKpPt1NW3ERlWRt+nxo8nk4hPSeGmQvHE/4NijSEEEKIz0mgE5cN1eel\n7cNVdHy8HlQVV4STVyIX0NUbgtGo45a541gyM3VIty01TeN4Wwnvl63F627hOquJbGMIigKKzkR4\n7DzCnDPR6QY3g6ZpGg21XZw82khFaSset3/gufgkO5l5TsZnO7CGDH8PVyGEEOJ/k0AnLgv9JSdo\n/utreBsb0FA46pzIBttEAjoDcyfGcfv88UMufGh1tfH30g9o7ChlntVEdngoOgVQ9Niip2CPm4/e\naBvUsdwuH6XHmyg+VE9HW//A49HOUDInxDJzXhpef2BI4xNCCCEGSwKdGNMC/X20rPw73Tu2AdBn\ni+Jd+0zqrQ7GxYXx3ZuyGRcXPqRjuvwu1ld8yu66ncww61kaHoJeUQAdtuhCwuMWYDAN7pitTb0U\n7a2h7ETzQO+4EJuJ7PxYsvLjiIoJBcAeGTLsrb+EEEKIC5FAJ8Ys1+nTNLzwPP7WVjS9ns+iC9hu\ny0VvMnL3/PEsnp40pApWVVPZXb+P1ac/IkPn4aEwCyFnbs+GRk/GHrcAg8l+weP4/QHKS1o4fqie\nprpuINg7LjktktyCBMZlRqPXD2+7LyGEEGI4JNCJMUcLBOj8dCMt774NgQBd4U5WRsyizRRBTkoE\nDyzJwRkZMqRjnu6q4u3SD9C7Grk7xESMPnh71mxLITLxRkwh8Rc8ht8X4MDuKooP1eN2BdfGmcx6\nsvLiKJiRJAUOQgghLhkJdGJMcVecpuGlF/A1NgJwOHoCGyMmY7KYeODaTOZPih9Sy5AOdyerytdT\n1VrEAquJ9LBg6NKbIolMvB6rPeeCxwsEVPZuq6DkSMNAkIuJtZE3OYHMCbEYTYOvfBVCCCFGgwQ6\nMWZ0791D08svofl89FntrI+YQlloMvnjo/jejTlE2wdf9OAN+Pi0ehv7ajYz26zj2vDgjJ6iM2GP\nW0CYYwaK7sL//Btru9j5aRnNDcH1b9GOUObdkEl8kuytKoQQYuyQQCcuOW9jIy1vv0Vf0WEAjkVk\nsS56OmaLmQeuzRjSrJzL72Jn/V4O1Gyl0ODjezZj8L2KnrCYaYTHzh1U5WogoLJny2mO7KsFICTU\nxHXLc0lMlb1VhRBCjD0S6MQlE3C5aF+9io5PN0IggF9vZFPkZA7asynMdHD/jdlEhpkHdSyf6mdz\nzXZ2Vm9mqlHjHqsBnWJEQ4ctejL2+AXojWGDOpbX4+fj949TW9kBQM6kOOZcm4HZIl8XIYQQY5P8\nhRKXhKu8jKaXXzrTVw6OhGewNWoyii2MHyzOYuaE2EHPhJV2lLOq9ANS1Q6+G2rEqChoQGjUZOzx\nCwfdggSguaGbrR+V0trUi8GoY9ndk0hIjhjehxRCCCEuEgl04qJSPR5aP3iPzk82gKbRZQzj/dj5\nNFsdLJqcyK3z07ANcl9TVVNZW7aG7pbPuNVswqIL7r5gjcglIn4RRkvMoI7T0+XmVHET5SdaaG3u\nBcBsMbD8WwU44gY3qyeEEEJcSmMq0K1Zs4Ynn3zyrMeuu+46nn/+eerq6vjZz37GwYMHiY+P56mn\nnmLhwoUDr9uzZw/PPfcc1dXVTJo0iWeffZbU1NSL/RHEebjKy2j8y4v4mhpRUfgsIp+dUZPITHPw\n+PWZJDkGtysDgNvTyWcnXiVX7cRkDd6WNdlSiUy4HnNo4uCO4fKxf2clxw/WDzQFNpn15E1OoGBG\nsmzPJYQQ4rIxpgLdqVOnWLx4MT//+c8HHjObzWiaxuOPP056ejrvvPMOmzZt4oknnmDNmjUkJyfT\n0NDAY489xuOPP86iRYv4wx/+wOOPP87q1avRDaHxrBgdmqrSvn4tbaveB1Wl1RzBGsccXNEJPHpD\nFlOyHIO+vep1NdNQt4lAdylpCqAo+C1xJCTdgCVs3ODGo2kcP1jPvp2VuPt9AKTnOMicEEvy+EgM\nBmlDIoQQ4vIypgJdeXk52dnZOByOsx7fvXs3FRUVvPHGG9hsNjIyMti1axfvvPMOP/rRj1i5ciU5\nOTk88sgjAPzyl79k7ty57Nmzhzlz5lyKjyLO8LY00/jiC7jLywD4LGIC26InMykrlgeX5g769qrP\n3UJb3Sd4u0+hAAYFalU9qanLSYmZNOjxtDT2sG97BVXl7QAkJNuZe30mMbGDnx0UQgghxpoxFejK\nysq46aabvvJ4UVEREyZMwGb74o/u1KlT2b9//8Dz06dPH3jOarWSl5fHoUOHJNBdIpqm0b1jG81v\nvYnmceOx2Hg/ahaVIQncNj+Nm+eMQzeIWTm/t5vOhi30tR9GAXyaxlGPH2NUAYszbsWkv3AgdPV7\nOXW8mZKjDbQ19wFgNOlZcGMWmROc0oZECCHEZW/MBDqv10tNTQ2bN2/mv/7rv9A0jZtuuoknnniC\nlpYWnE7nWa+Pjo6m8cxuAud6vqmp6aKNX3zB391N02sv03f4EABl9jTWRM1ANVt5/OYJTMtxXuAI\nZwJh82466zehoKJpGoe9fhpM8dw4YRlp9vOvj9Q0jdrKDooP11N5qm1gjZzZYiArP5Yps1IIsQ2u\nJYoQQggx1o2ZQFdVVYXf7yckJITf//73VFdX89xzz9HX14fH48FoPHsmxmQy4fMF1z+5XC5MJtNX\nnvd6vRc8r8MhVYzDca7r1r7/ABW/+wO+ri4CRjNro6ZTbEsjLz2GJ+4pJCHmwrc23X2tFB95A62n\nFgUo8fo4Rgh3TrmfhxMLLvj+irJWPl17gvrqTgAUBTJynRROTyYrL/aSrZGTf2vDI9dt6OSaDY9c\nt6GTazY8o3Hdxkygy8zMZM+ePURGRgKQk5ODpmk8+eSTrFixgt7e3rNe7/V6sVjObLBuNn8lvHm9\nXiIiLtw/rKWlZ4Q+wdXD4Qj7ynVTPR5aVr5J19YtANTZ4vkgeg4ui41vL8rguqlJ6DTtvNdb9bup\nrloNXSfQKeBWNbZ4FbKTl/BEwgwMOsN5369pGvu2V3JgVxUAFquRSdOTyJ4Yh+1Mg+KOjv5v+OmH\n5+uumbgwuW5DJ9dseOS6DZ1cs+H5JtftfEFwzAQ6YCDMfS49PR2fz4fT6aSkpOSs51pbWweKJ2Jj\nY2lpafnK85mZmaM7YAFA7+FDNL/5V/xtbaiKji1RheyNyCPJGcY/L8sl9QK93DRNpb5hO/1N2zGj\noqFR7NMwxszme6mLMOsv3D6kv8/Lzk/LKCtuBmDqnFQmz0rBaJKKVSGEEFe+MRPoNmzYwC9+8Qu2\nbNkycPu0uLiY8PBwCgsLeeGFF+jv7yckJLjJ+oEDBygsLASgoKBgoEACgrdgi4uLeeyxxy7+B7mK\nuCsraX13Jf0nigFoNkex2jmX3nAHD16bwdxJ8ectfNA0ja72IppqPsKqeTEDdX6VXvtEFqQtJcRo\nveAYerrcFO2t4URRA36/ik6nsGhZDll5sSP1MYUQQogxb8wEuunTp6NpGk8//TSPPvooVVVV/PrX\nv+ahhx5ixowZJCQk8NRTT/HDH/6QzZs3U1RUxHPPPQfAnXfeyUsvvcQf//hHFi9ezPPPP09CQgKz\nZ8++xJ/qyqT6fLS8/Xc6Nn4MqopHb2Zb5CQO2rOZlhvHfYuzCA89/6yaq6eSuqoPMfk6sQKdAZUm\nawozJ6wg3HzhtQW93W4O7q7mRFHDQMFDano00+al4owf/FZfQgghxJVA0TRNu9SD+FxxcTG/+tWv\nOHbsGDabjXvuuYd//Md/RFEUqqqq+Pd//3eKiopISUnh3/7t35g3b97Ae7du3cqvfvUrGhoaKCgo\n4NlnnyUlJeWC55T7/0PjOl1O299eo7+yCg2F/fYcdkZNxGIP5zs3ZDMly3He9/vcbTRUr4a+agB6\nVZWThDE18x5SwpMufP5+L3u3VVBypBFV1VAUSM91MmVWCtHOsdtLTtaaDI9ct6GTazY8ct2GTq7Z\n8IzWGroxFeguBfnHODj+ri7aVr1H1/ZtoGl0m8P5IGYuHRFx3LEgnQUF8RjPUz2qBry0N2yht2UP\nOsCraRT5FJKTbmR6wowL9oJTVZWTR5vYu72C/l5vMMjlOJg6dxxRMaEj/GlHnvzwDY9ct6GTazY8\nct2GTq7Z8FwVRRFi7NH8fjo2bqB97YeobjeaTsf+qHy22icSHxfBf9wxkZiIc691U1Uffa0H6Wjc\nDoF+dMBRj59AZCFL05dgNVx4nVz16Xa2byilu9MNQFySnWuWZBEZPfaDnBBCCHExSKAT59R3/Bgt\nf38Tb30dAM2OND6wTqLdZGfmhFi+d1M2FtPX/xMK+F30tu6ju/kztIALgAZ/gMOajVsmfpf40AsX\nLWiaxoGdVezbUQmAPdLKtHnjyMh1otPJ7g5CCCHE5yTQia8I9PbS8vbf6d65HQDVHsW66Bkc0zkJ\ntRj417sKyUn6+sKDgK+X7uZd9LYeQFODjZ/r/QH2uL0kOWfxYMbSQW3XpWkae7dXcHBXcK3dlNkp\nTJ+fJkFOCCGE+BoS6MQATdPo3r6NlvfeRu3tBYOBk2kz+TAwjoBOT3piOI8uzyM30/mV+/8Bv4ue\npp10t+wFzQ9Ahc/PHrePkLA07iy8meSwhEGNw+cNsPHDYqrK2lAUWHzrBNIHsV2YEEIIcbWSQCcA\n8DY10vzX1wZ6yvXEprLSUkiLZsdq1XPnwnSuKUz8ygyZpgXoadlHV8NWNNUDQKnXzy63l7CwVO6Y\neAOZkemDHkd3p4uNq4ppbujBbDFw7bIcxmXGjNwHFUIIIa5AEuiucqrbRdua1cGecoEAhISyPWEW\nO7UEFEVhQUE8t80fT8TXbGTv87TTUvEuflcDAJU+P9tcXqy2ZO6eeAPZkRkXrF79svqaTta/cwyv\nx0+Y3cLN90wiIipkxD6rEEIIcaWSQHcVC/T2UvP//l+8dbUA9OdO4VV/Fl2aidjoEH6wfAJpX9Ok\nV1X99LQcoK3uY3San66AykaXB9WayF0TbxxykPO4fRzaU03RvlrUgEbK+CgWLcsh5ALNiYUQQggR\nJIHuKqW6XdT+9jd462rRO2PZMf5atrYGixVm58Vy/41frWBVVR+9rQeoO76bgLcHHXDS6+eoLool\neUvJicwcUpDr7XZzaE8Npccb8XoCAEycmsic6zKk+EEIIYQYAgl0VyHV66Xud7/FU1mBEhnNX2Ku\npaHViNVs4P4bspg5IfasYKZpGv2dxXTWfULA1wVASyDAAa9CfurN/J+EaegU3aDP7/P6ObinmiN7\na/H7VQASUyOYuXA8sQmybZcQQggxVBLorjLuitM0vf4qnuoqVFs4r0QvotlrJCs5gkdunkC03XLW\n6z29NXTWf4rnzFZdzQGNbS43IeGZ3DtpBeGmC++7+rnO9n6OHaij9HgTHnewEnZ8toOpc1KJiR27\n23YJIYQQY50EuquE5vfT8s5KOj/dCJqGJ9TOa1ELaSOE6TlOHlqWi8n4xdZdXlcTnfWbcHefAqBf\ng+39boq8fmYnT+Vb6Xeh1517q68v6+3xcGBXFScO1/P5RnPOhDDmXptBXJJ9xD+rEEIIcbWRQHcV\n8Hd1Uv/8f+MuL0PT6TjimMgntjwCehN3Lkhj6azUgVusPncbXY1b6e84FnwvCntdHvZ5vMSFpfBP\neUuYk1U4qH3omhu6KT7cwKniJvw+FUWB7PxYJk5LIibWNqT1dkIIIYQ4Nwl0VzDN76dzyybaVq9C\n7evDbQnj7zHzabDEkOy08cCSnIEq1oC/n866T+hrLwI0VBQOebzscnnx64wsS1/GtcnzB7VWTtM0\nDu6uZu+2ioHHUsZHMXtROlEO2X9VCCGEGGkS6K5Qnro6Gv70B7z19QDUhyfyTtQc/NZQVsxN44YZ\nyeh1OjRNpb/jGB11n6D6e9FQOOZV2d7voleDmXFTWZ5+IxHmC98aVVWNqvI2Dn9WQ2NtsHhi4tRE\n8iYnEBkjQU4IIYQYLRLorjBaIEDnpxtp/eA9NK8XV2gka8MLKQtJIskZxmO35REfHQxXXlczHbXr\n8fRWAVAf0FjT20eHqjEhOpvb05eRYIu74Dld/V5KjzVRfLieznYXAEaTnkVLs2XLLiGEEOIikEB3\nBfE2N9P40gu4y8sAOBmRzpqoGWhGE7fMSmXZ7FSMBj1+Twddjdvoaz8CaPRrsKXfzVGvn9TwZO5L\nu5Hc6KzznkvTNOqrOzl+qJ6K0lZUNVjtEGa3kD8lgQmFCZjM8s9LCCGEuBjkL+4VQPP76djwEW1r\nV6N5PHhDwvjAPp3ToUlkJ0fwvSU5xEWFoKl+Ohu20N20AzQV9f9v786joyrvPoB/J/tKyA4kEEhC\nFrInJGQBBApi2EpVqoAor9KiRRTLqViPWj2UA/paquUtEIoCBYqy1QpaN4KIIAIJhAAJZCEhBJJM\nNrLMZGYy83v/oEwdIQFUZjKZ7+ec/JHn3jvz3B/PJd9zn7sIcFKjw6EOLfq6BeKpqGzE+EZ1e7NC\np06Pw/tLcfTrC2hp7gAAKBRASJgPouL7IyTcF/b2t/9MOiIiIvrxGOisnOr8OdT9fSO0Ndfep1rl\nPxS7PJKhcXDGL0YOweSMwVAogPamM7h6ZT86NY0AgNP/CXIKRy88EPVzpPVL7vaGhw61Die/rUJx\n4RWo23UAAHdPZ0TH90N0Qn949HHpclsiIiK6uxjorJRerUb9rh24emA/IAL4+OHfvmkoED94ezpj\n0bQYRAzsi47WcjRV74NOfS3wNegN+ETVgVY7d9wXno2MAWlwtOt+GNRdacG/d52Gqk0LAOgf7IWk\n9EEYGOrDV3QRERH1AAx0Vqj99CnU/n0TOhsbADt7NMZnYqM6BFqDHYb098TT98fDy90OjRc/QltD\nHgCg1WDAIbUWF8QZ4wdPwqigDDjZO3b7PS3Nanz9eQkqy66d1esX1AfpY0IRlxSM+vq2u76fRERE\ndHsY6KyIiKB+1w40ffIxAMDQLxh7/DNQ1O4KABiXHISHxg2FXl2Jy2c/gEHXik4RHOrQ4oTGgJED\ns/Do4PFwceh+etRgEBQVXMahfWXQdxrg4GiH6IT+SL8nFA6O9nwgMBERUQ/DQGclDDot6ndsR3Pu\nF4C9PS7H3YPNrQMgajsE9HXFIxMjMGyQB67W5KKl7jAUAGo79fi3SgMfr3AsSfw5At38b/k9dVda\nsP/jc2hUtgMAwqMDkDU+HG7uTnd5D4mIiOiHYqCzAtq6OlxZ83/QVF0E7OxwOGICvmoLgJ2dAr8Y\nNQT3jRgEbet5VJ15Fwq9GgoAh9VaXHT0x4Ox92GYb2S3ny8iUNa04ujBClSVX0duNf0AABkuSURB\nVJte9fRyQfqYUIRH8zlyREREPR0DXQ/XmncMtRvfhUGthqGvL3Z6Z6Bc5wNvT2c8+fMYhAf1weUL\nu6G/ehYKAJc79Tja6YiM0AfwUGBit9OjBoMBF87X49jXFWiqVwEAHBztEJMUhLRRg+HgaG+mvSQi\nIqIfg4Guh9KrVFBu24qWbw4BABoHRGCTczI09k5ICPPFE1OGAfoanDu1Hm4GFXQiONRhQED/UZg/\naDSc7bueIm2qb0fJ2TqcO12DthYNAMDF1RGRcYFIzgiBi2v3N0sQERFRz8JA1wOpiotQs2E9Ohsa\nIA6OONwvFQedw2Bvb4eHxoThZ8kBKKr4J9xaiuGmAK7qDahwHYxfxD4ITyePm36mwSA4f7oGp/Or\noaz57x2qXt6uiE8NRnRCfz4QmIiIyEox0PUgIoKGf+1G4949AIDmPgHY3jcDjU5eCAn0xP9MioCL\nFKL01N/hpTAACuCCwRGDwn6Jqd5hXX6uWqXFgU/O48L5egCAk7M9QiP9MXRYIIJC+vKuVSIiIivH\nQNdD6OqVqN20EaqiMxCFHY74xeNgn1i4uTljZlYIMoa0oKlmEzq0zXBTAPV6wM4vDSMHTYC93Y3X\nuhkMgitVzSg+VYOy4jro9QInZwdkjgvD0JgAODjw+jgiIqLegoHOwsRgwNUvc6HctQOi0aDDwQV7\n/DNR5h6MpKF+mDUuGNK8H40XzwAAGvUGnBE3TIv/DTydb5xebWlW48yJyzhXWAO1SmdsHxTmg8xx\nYfD2dTfbvhEREZF5MNBZkLa2FrWb3oX6/DkAQJFHCD73S4O7nzeeHhOMIZ7n0Fa5FyKd0IogV6VB\nq8sAPJX4ONwc3Uw+q6GuDfnfXERpUZ2xzcvbFWFR/ohO6I8+fV3Num9ERERkPgx0FiAGA5q/+Bz1\nH+yCaLVQObjgU78RuOA9BL/I6IuUoGqomw+gVX3tDFuJthP71RokDsjCvKFTYKe4dvOCiKDqQiPy\nDlei5lILAMDOToHw6ADEpgQhoL8nr48jIiKyAQx0Zqa5fBm1G99BR3kZAOC0Zyi+8BuOYUP74OWk\nGujbDkLVKACAyk7BfpUajWKH+wZPxMSQsVAoFNDrDSgrVqLw+CXUXWkFcO1Gh4iYfkhKHwiPPt2/\n2ouIiIh6FwY6MxGRa9fKvb8N0tmJNgc3/Ns/HZe8BuDXY5rg65APfZsBgB0q4YIvrjag3mBArG8U\nFkbeD2+XvtB06HD25BUU5l1Ce6sWAODs4oCkjEGITRoARyf+cxIREdkiJgAz0Kvaodz+Hlq+PggA\nKOgTjlzf4YiP9MScqEJAVwcI0O4yAO8pK1Df2QJ3Bzc8EjEZ6f2H42qTGl8fLEHRqSvo1BkAAN6+\nbohPDcbQYYFwdOIdq0RERLaMge4u0zU24tL/roBOWYdOhT0+DshAhV8Enhjnjn6K/TDoVNA7uOMj\nlR5FTecBAMkB8fhlxHSIyh65HxWj5Ewt5NosLIIHeyMhLRgDh/jw+jgiIiICwEB3V7WfPYMr69bC\n0NaKWidv7AkciciEAMyMroBedQEGAFfEEe/X10IjgK+LNyYPuRehigic2H8ZRQVXYDAI7OwUiIwN\nRNzwYPgF3vxNEERERGS7GOjukpYjh3HlnfVQiAEXXPvjQGgWHh2jQh98Cb1K0AkFvlVrcKijDe6O\n7pg0YBz8mwej+OMa5CvzAAAKBRARG4jUkYP52BEiIiLqEgPdT0zf2orqTRvRcTIPCgDHvaPgPi4U\nT/Y/DYgWAiC/Q4dDHRoY7JwwwX883CuDUP5tA0o6r9356uLqiNAof8SlBMHHjw8CJiIiou4x0P1E\nRASt336DK9v+AUV7GzQKB5wMT0D6BMBZUQwIcKHTgH3tajQb7JHmeA8Croag4mgD9HolgGvXx0XF\n90NopD/s7e0svEdERERkLRjofgJiMKDuvX/gau4XUAC45B0Ix3tDMdqvDgoImvSCz1UduNCpR5Q6\nCeGVg9DaokMr6gEA4dEBSBs9GF7ebt1/EREREdFNMND9SCKCypwcaPO+RSfscCgkBaPvU8PVoRZ6\nERRodPiqQ4swzyhk1ySg6nQr2qFDn74uGBoTiPDoAE6rEhER0Y/CQPcj6NracWrVWniWFUKrcMCJ\ntHSMTVHCSaHDlU499rR3INh7GKZ1JqPkQBOqdK2ws1dg5PihiE7oDzs7PnaEiIiIfjwGuh+o9Mtv\n0LZ9Czy17dAHukF372Dc0+cyAKBS14njCj9M9RsP5dlOFJU3AAD6BXshY2wo+gV5WbLrRERE1Msw\n0N2hq+0aHF23FQPPHIS7jwP0owbCPdgR7uiARgRn9E7wcZ6CIacVyK+qAwA4OTvgnvsiEB4dYOHe\nExERUW/EQHcHzhRfRun6DRhmuACHif6wD7/2kF+NCArUBijaM6Ct8MaZxhYA196zGpcShGFJA+Du\n4WzJrhMREVEvxkB3G7RaHQ79/QP0LdyPuGRX2McMhMJegU4RnNLooWpNhOZcADraOwGo4ebhhOj4\n/khIC4azi6Olu09ERES9HAPdLZSUXEHdu39BSJgG9rMDoHC0g4jgbLsCytp4aC76QqfRA+hE4IA+\nSBwxECHhvnyOHBEREZkNA10XWtq1yP30MCLaP0Hw/S5QOFx79dbFFmdUlEShtf76jQ16+PfzQELa\nQIRFBfDOVSIiIjI7Brrv0XXqse9YBaRwJxKj22E35NrDfq/Ue6K8NAzNV/sAANw9nDAkwh9R8f3g\n38/Tkl0mIiIiG9drAp1Wq8XSpUvxySefwMnJCXPnzsWvfvWrO/qM0ktXceSz3UgPKYdTqiMABzQ1\ne6LwzFC0tnnAydkeEbF+iIwNxIBB3jwbR0RERD1Crwl0b7zxBk6ePIkNGzagpqYGzz//PAYMGIDJ\nkyffclu9wYD9n3wF76bPMCrBGQo7R6jVTjhXOhg1yn4YEh6AzCh/DArzgYODvRn2hoiIiOj29YpA\np1KpsH37dqxduxaxsbGIjY3FvHnzsGXLllsGuuKiMjSd2oHQwTo49HeBCFBaPhAl5SEIj+6Px34Z\nzjtViYiIqEfrFYGuuLgYWq0WKSkpxraUlBSsXr0aer0e9vY3P6v2j//7MwYPrEVQhB4A0NDYB5fq\nwjEoPAEj7g2AuyefHUdEREQ9X68IdEqlEl5eXnB2/m8A8/Pzg06nQ0NDAwICbv6GhsiIa6/qamry\nwOXWQUjLnIgkf97gQERERNalVwQ6tVoNJycnk7brv2u12i6302odcKnaB/fMeALjfXzuah97G38G\n3zvGmv0wrNudY81+GNbtzrFmP8zdqFuvCHTOzs43BLfrv7u6una5XVr2HxHeqAL0gFLZelf72Jv4\n+3uyXneINfthWLc7x5r9MKzbnWPNfpgfU7fugmCveJ1BYGAgWlpaTEKdUqmEk5MTvLy8utyuq2vr\niIiIiKxJrwh00dHRcHR0xIkTJ4xteXl5iImJgYNDrzgJSURERNSlXhHoXF1dMX36dLz22ms4deoU\n9u3bh3fffRePPvqopbtGREREdNf1mtNXv//97/Hqq6/iscceg7u7OxYsWIBJkyZZultEREREd12v\nCXSurq54/fXX8frrr1u6K0RERERm1SumXImIiIhsGQMdERERkZVjoCMiIiKycgx0RERERFaOgY6I\niIjIyjHQEREREVk5BjoiIiIiK8dAR0RERGTlGOiIiIiIrBwDHREREZGVY6AjIiIisnIMdERERERW\njoGOiIiIyMopREQs3QkiIiIi+uF4ho6IiIjIyjHQEREREVk5BjoiIiIiK8dAR0RERGTlGOiIiIiI\nrBwDHREREZGVs8lAp9Vq8fLLLyM1NRVZWVn429/+Zuku9Uh79+5FZGSkyc9vfvMbAEB1dTUef/xx\nJCYmIjs7GwcOHLBwby1Lq9ViypQpOHz4sLGtubkZzzzzDJKTkzFu3Dj885//NNmmuLgYDz30EBIS\nEnD//ffj1KlT5u62xd2sbjk5OTeMu2XLlhmX22rdLl68iCeffBKpqakYPXo0VqxYAY1GA+DWx+OR\nI0cwdepUJCQkYM6cOaisrLTELlhEd3V75ZVXbhhrGzduNG5rq3UrKyvD3LlzkZSUhLFjx2L9+vXG\nZRxrXeuubmYZa2KDli5dKlOmTJHCwkL5/PPPJSkpSfbu3WvpbvU4K1eulAULFkhdXZ3x5+rVq2Iw\nGGTatGny3HPPSUlJieTk5Eh8fLxcvHjR0l22iI6ODlmwYIFERETIoUOHjO3z58+XOXPmSHFxsezY\nsUNiY2MlLy9PRETa29slKytLli1bJqWlpfLHP/5R0tPTpbW11VK7YXZd1W3x4sWydOlSk3F3vS62\nWjeNRiPZ2dmycOFCKS0tlW+//VZ+9rOfyfLly295PF6+fFkSExNl3bp1UlJSIosWLZJJkyaJXq+3\n8F7dfd3VTUTk4YcflvXr15uMNZVKJSK2WzetVitjx46VF154QSoqKiQ3N1eSkpLkX//6F8daN7qr\nm4h5xprNBbr29naJi4sz+QPy17/+VR5++GEL9qpnWrBggfzlL3+5of3w4cMSFxdn8kf0sccek5Ur\nV5qzez1CSUmJTJs2TaZOnWoSTCorKyUiIkIqKiqM67744ouyePFiERHZsWOHjBkzxnjAGgwGmTBh\ngmzfvt38O2EBXdVNRGT69Omya9eum25nq3U7duyYxMTESFtbm7Htww8/lMzMzFsej2+99ZbJ/28q\nlUqSkpJMat5bdVc3EZG0tDQ5cuTITbe11bpVVVXJs88+K2q12ti2YMECeemllzjWutFd3UTMM9Zs\nbsq1uLgYWq0WKSkpxraUlBQUFhZCr9dbsGc9T2lpKYYMGXJDe0FBAYYNGwYPDw9jW0pKCk6ePGnO\n7vUIR48exYgRI/D++++btBcUFMDf3x8hISHGtu/WqKCgAMnJybCzu3YIKhQKJCcn48SJE+brvAV1\nVTeDwYALFy7cdNwBtlu30NBQrFu3Du7u7sY2hUKBlpaWWx6PBQUFSE1NNS5zdXVFTExMr68Z0H3d\nlEolmpubux1rtli34OBgvPXWW3BxcYGIIC8vD8eOHUNGRgbHWje6q5u5xprNBTqlUgkvLy84Ozsb\n2/z8/KDT6dDQ0GDBnvUsWq0WVVVV2L9/PyZMmIDx48fjzTffhFarhVKpREBAgMn6vr6+qKmpsVBv\nLWfWrFl48cUX4erqatJ+qxp1tby2tvbudriH6Kpu1dXVUKvV2L59O8aOHYvs7GysX78eBoMBgO3W\nzcfHB5mZmcbfDQYDtmzZgszMTI61bnRXt9LSUjg4OODtt9/GqFGjMG3aNOzevdu4ri3X7brRo0dj\n1qxZSEpKwsSJEznWbtP362ausebwk/TeiqjVajg5OZm0Xf9dq9Vaoks9UmVlJTo7O+Hm5oZVq1bh\n4sWLWLZsGdrb26HRaODo6GiyvpOTE3Q6nYV62/N0Nc50Oh1EpMvltj4Gy8rKAACBgYFYu3Ytzp49\na7whYt68eazbfyxfvhxFRUXYuXMnNmzY0O3xyJr913frdvToUQBAVFQU5syZg6NHj+KVV16Bq6sr\nsrOzWTcAq1evRl1dHV599VUsX74carWaY+02fL9u18/M3e2xZnOBztnZ+YYiXf/9+2cLbNnQoUNx\n5MgReHt7A7g2EEUEixcvxowZM9DW1mayvlarhYuLiyW62iN1Nc5cXFygUCi6XW7LxowZYzLuIiMj\n0dTUhK1bt2LevHk2XzcRwbJly7Bt2za8/fbbGDp0KJydnbs9HruqWd++fc3Wb0u7Wd3Cw8MxefJk\nYx2ioqJQWVmJbdu2ITs7m3UDEBcXBwDo6OjAkiVL8MADD3Cs3Ybv1y0/P98sY83mplwDAwPR0tJi\nUjylUgknJyd4eXlZsGc9z/U/qteFhYVBp9MhICAASqXSZFl9fT38/f3N2b0eLTAwEPX19SZt361R\nYGAga9iFm427uro6ALZdN4PBgBdffBHvvfce/vznP2P8+PEAbl0TW64Z0HXdFArFDX8wQ0NDjdNc\ntlq32tpa7Nu3z6Tt+v/9/v7+HGtd6K5ubW1tZhlrNhfooqOj4ejoaHKxYV5eHmJiYuDgYHMnLLv0\n2WefITMz0yT4nj17Fn369EFiYiKKi4uhUqmMy/Ly8pCYmGiJrvZIiYmJqK2txaVLl4xteXl5SEhI\nAAAkJCTgxIkTEBEA184g5Ofn23wNN23ahKlTp5q0nT171jhlYct1W7FiBfbs2YNVq1bh3nvvNbYn\nJCR0ezwmJCQgPz/fuEytVuPs2bM2UTOg67qtWLEC8+fPN1m3qKgIoaGhAGy3bmVlZVi4cKHJNeVn\nzpyBj48PUlJSONa60F3d1q1bZ56xdkf3xPYSL7/8smRnZ0tBQYF88cUXkpycLB999JGlu9WjNDY2\nSnp6uixZskTKy8tl//79kpWVJWvWrJHOzk6ZNGmSLFy4UM6fPy85OTmSkJAgVVVVlu62RX3/8RuP\nP/64zJo1S4qKimTnzp0SGxsr+fn5IiLS2toq6enp8tprr0lJSYksW7ZMMjIyev3z1G7mu3UrKyuT\nuLg4efPNN6WiokI+/PBDSUpKkg8//FBEbLduJ06ckIiICMnJyTF5jlVdXd0tj8eqqiqJi4uT1atX\nS0lJiTz33HMyefJkm3g2WHd1O3LkiERFRcmmTZuksrJSNm/eLDExMXLs2DERsd26abVamTJlisyb\nN09KS0slNzdXMjIyZOPGjRxr3eiubuYaazYZ6FQqlTz//POSmJgoWVlZ8s4771i6Sz3SmTNn5JFH\nHpHExEQZOXKkrFq1SgwGg4iIVFRUyOzZsyU2NlYmTZokBw8etHBvLe/7ga6+vl7mz58vcXFxMnbs\nWPnggw9M1i8oKJDp06dLbGysPPDAA1JYWGjuLvcI36/b4cOH5f7775f4+HgZN26cbN261WR9W6zb\nihUrJCIi4qY/Op3ulsfjl19+KRMnTpT4+HiZM2eOVFZWWmhPzOtWdfvoo49k8uTJEhsbK9nZ2fLp\np5+abG+rdbt8+bLMnz9fkpKSZOTIkbJ27drb/r/fVmsm0n3dzDHWFCL/mbsgIiIiIqtkc9fQERER\nEfU2DHREREREVo6BjoiIiMjKMdARERERWTkGOiIiIiIrx0BHREREZOUY6IjIprzwwguIjIzs8mf3\n7t1YtWoVZs6cabY+lZWV3db3ffXVV1i8eLEZekRE1obPoSMim9La2oqOjg4AwPHjx7Fo0SJ8/fXX\nxuWenp7Q6/XQ6XRme6n43Llz8cQTT2DUqFG3XHf27Nl45plnMGLECDP0jIisBV9eSkQ2xdPTE56e\nngAALy8vALDoy8Pz8/NRXV19W2EOuBboVq9ezUBHRCY45UpE9D3fnXLdvXs3Zs6cibVr1yI1NRVZ\nWVnYs2cPPv74Y4wZMwapqalYuXKlcVutVotly5YhPT0dI0aMwLPPPov6+vouv2vbtm0YP3688ffW\n1lYsWrQIaWlpSE5OxtNPPw2lUmlcPnr0aOTl5aG8vPwu7DkRWSsGOiKiWygsLERFRQV27tyJ7Oxs\nvPLKK9i6dStycnLw29/+Fjk5OTh37hwAYOXKlTh58iRycnKwefNmiAjmz5+Pm13dIiI4ePAgMjMz\njW1vv/02qqursXnzZmzfvh0NDQ1Yvny5cbmHhwfi4uJw8ODBu7/jRGQ1GOiIiG7BYDDgpZdeQkhI\nCGbMmAGVSoWFCxciMjISM2fOhIeHB8rLy6FWq7Flyxa89tprSEhIQEREBN544w2UlpYiLy/vhs+t\nrq5GU1MTwsLCTNrc3NwQHByM8PBwvPHGG3jiiSdMtgsPD0dhYeFd328ish68ho6I6Ba8vb3h4eEB\nAHBxcQEABAUFGZe7uLhAq9WiqqoKOp0Os2fPNtleo9HgwoULGD58uEl7Y2Oj8fOvmzt3Lp566ilk\nZGRgxIgRmDBhAqZPn26yXd++fVFdXf3T7SARWT0GOiKiW7C3t7+hTaFQ3NCm1+sBAJs3bzbeeHGd\nj49Pl59xfTsAGDFiBL766ivk5ubiwIEDWLFiBfbs2YPNmzcb1zEYDDf9fiKyXZxyJSL6iQwcOBD2\n9vZoampCSEgIQkJC4OPjg+XLl9/0jJqfnx8AoLm52di2ceNGFBQUYNq0afjTn/6EdevW4ejRoyY3\nVjQ1NVn0zlwi6nkY6IiIfiIeHh6YMWMGli5dim+++QZlZWVYsmQJzp8/j8GDB9+wfr9+/eDr62u8\noQIAampqsHTpUuTn56Oqqgp79uzBgAEDTKZlz507h9jYWHPsEhFZCQY6IqKf0AsvvICsrCw899xz\nePDBB6HRaPDOO+8Yr737LoVCgZEjR+L48ePGtmeffRbDhw/HggULMHnyZJSXl2PNmjXGad+2tjac\nO3cO99xzj9n2iYh6Pr4pgojIgo4fP47f/e53yM3Nva3r4nbt2oW9e/diw4YNZugdEVkLnqEjIrKg\n4cOHIygoCAcOHLit9d9//338+te/vsu9IiJrw0BHRGRhf/jDH7BmzZpbrvfll18iKCgIGRkZZugV\nEVkTTrkSERERWTmeoSMiIiKycgx0RERERFaOgY6IiIjIyjHQEREREVk5BjoiIiIiK8dAR0RERGTl\n/h+3OA5XKwJS8AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_norms_group[1].cumsum().plot(figsize=(10,8), linewidth=2, fontsize=14) #Indicate group number to plot\n",
    "plt.xlabel('Time (s)', fontsize=14);\n",
    "plt.ylabel('Displacement (mm)', fontsize=14);\n",
    "plt.legend(loc='upper left', fontsize=16)\n",
    "plt.title('Distance travelled for all participants, Group 1', fontsize=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting the planar displacement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 394
    },
    "colab_type": "code",
    "id": "MKBuZMcbQa7n",
    "outputId": "174429ab-1cef-4bd3-ed71-c8acbdfdcdde"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([-652., -650., -648., -646., -644., -642., -640., -638., -636.,\n",
       "        -634., -632.]), <a list of 11 Text yticklabel objects>)"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+/RorvVevPsz248dxrCElTk7OzLaRUenDD0v2CEqCy+Vi7NixaNWqCWJirrKO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\nTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1008x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.ticker import FormatStrFormatter\n",
    "\n",
    "fig = plt.figure(figsize=(14,6))\n",
    "aa = plt.subplot(1, 3, 1)\n",
    "plt.plot(nm17[1][5]['X'], nm17[1][5]['Y'], color='k') #XY plane participant 5, group 1\n",
    "plt.title('X-Y (mm)', fontsize=14)\n",
    "aa.xaxis.set_major_formatter(FormatStrFormatter('%.2f'))\n",
    "aa.yaxis.set_major_formatter(FormatStrFormatter('%.3f'))\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=12)\n",
    "\n",
    "\n",
    "ab = plt.subplot(1, 3, 2)\n",
    "plt.plot(nm17[1][5]['X'], nm17[1][5]['Z'], color='k') #XZ plane participant 5, group 1\n",
    "plt.title('X-Z (mm)', fontsize=14)\n",
    "ab.xaxis.set_major_formatter(FormatStrFormatter('%.2f'))\n",
    "ab.yaxis.set_major_formatter(FormatStrFormatter('%.2f'))\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=12)\n",
    "\n",
    "\n",
    "ac = plt.subplot(1, 3, 3)\n",
    "plt.plot(nm17[1][5]['Z'], nm17[1][5]['Y'], color='k') #ZY plane participant 5, group 1\n",
    "plt.title('Z-Y (mm)', fontsize=14)\n",
    "ac.xaxis.set_major_formatter(FormatStrFormatter('%.2f'))\n",
    "ac.yaxis.set_major_formatter(FormatStrFormatter('%.3f'))\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=12)\n",
    "\n",
    "\n",
    "#fig.savefig(\"paths.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "BuWuybEtQFgV"
   },
   "source": [
    "### Calculating velocity in X, Y, and Z directions\n",
    "Defining and running functions to calculate velocity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Zikl5OdgQMK6"
   },
   "outputs": [],
   "source": [
    "def x_vel(displacement):\n",
    "    \n",
    "    #displacement = displacement.drop(displacement.index)\n",
    "    \n",
    "    vel = np.sqrt(\n",
    "         displacement.X ** 2) /  displacement['timestep (s)']\n",
    "    \n",
    "    return pd.DataFrame({\n",
    "        'Vel X': vel,\n",
    "    })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "6O-8TWv4QMnN"
   },
   "outputs": [],
   "source": [
    "def y_vel(displacement):\n",
    "   \n",
    "    #displacement = displacement.drop(displacement.index)\n",
    "    \n",
    "    vel = np.sqrt(\n",
    "         displacement.Y ** 2) /  displacement['timestep (s)']\n",
    "    \n",
    "    return pd.DataFrame({\n",
    "        'Vel Y': vel,\n",
    "    })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "PRhKoO8IQMsG"
   },
   "outputs": [],
   "source": [
    "def z_vel(displacement):\n",
    "    \n",
    "    #displacement = displacement.drop(displacement.index)\n",
    "    \n",
    "    vel = np.sqrt(\n",
    "         displacement.Z ** 2) /  displacement['timestep (s)']\n",
    "    \n",
    "    return pd.DataFrame({\n",
    "        'Vel Z': vel,\n",
    "    })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "rQHuvLSVEJ-D"
   },
   "outputs": [],
   "source": [
    "\n",
    "velx = {} #anteriorposterior (AP)\n",
    "vely = {} #mediolateral (ML)\n",
    "velz = {} #vertical (SI)\n",
    "\n",
    "for groups in range(1,num_groups+1):\n",
    "    velx[groups] = {}\n",
    "    vely[groups] = {}\n",
    "    velz[groups] = {}\n",
    "    \n",
    "    for i in range(1,len(nm17[groups])+1):\n",
    "        velx[groups][i] = x_vel(displacements[groups][i])\n",
    "        vely[groups][i] = y_vel(displacements[groups][i])\n",
    "        velz[groups][i] = z_vel(displacements[groups][i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "collapsed": true,
    "id": "UrSMGJ1fJtMD"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vel X</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Time (s)</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.005000</th>\n",
       "      <td>4.399939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.010000</th>\n",
       "      <td>3.399953</td>\n",
       "    </tr>\n",
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       "</table>\n",
       "<p>71999 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Vel X\n",
       "Time (s)             \n",
       "0.005000     4.399939\n",
       "0.010000     3.399953\n",
       "0.015000     0.999986\n",
       "0.020000     1.599978\n",
       "0.025000     1.999972\n",
       "0.030000    17.999750\n",
       "0.035000     1.599978\n",
       "0.040001     0.399994\n",
       "0.045001     5.599922\n",
       "0.050001    11.399842\n",
       "0.055001     2.999958\n",
       "0.060001     4.799933\n",
       "0.065001     2.399967\n",
       "0.070001     5.599922\n",
       "0.075001     4.599936\n",
       "0.080001     2.799961\n",
       "0.085001     7.599894\n",
       "0.090001     5.599922\n",
       "0.095001     0.399994\n",
       "0.100001     7.599894\n",
       "0.105001     5.799919\n",
       "0.110002     2.399967\n",
       "0.115002     7.599894\n",
       "0.120002     0.999986\n",
       "0.125002     4.799933\n",
       "0.130002     1.999972\n",
       "0.135002     4.599936\n",
       "0.140002     5.399925\n",
       "0.145002     5.399925\n",
       "0.150002     2.999958\n",
       "...               ...\n",
       "359.854998   3.599950\n",
       "359.859998   2.399967\n",
       "359.864998   3.399953\n",
       "359.869998   2.599964\n",
       "359.874998   1.199983\n",
       "359.879998   1.999972\n",
       "359.884998   2.799961\n",
       "359.889998   7.999889\n",
       "359.894999   1.799975\n",
       "359.899999   3.799947\n",
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       "359.909999   2.799961\n",
       "359.914999   2.399967\n",
       "359.919999   1.199983\n",
       "359.924999   0.999986\n",
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       "359.934999   0.199997\n",
       "359.939999   2.599964\n",
       "359.944999   3.799947\n",
       "359.949999   0.799989\n",
       "359.954999   0.999986\n",
       "359.959999   1.599978\n",
       "359.965000   1.399981\n",
       "359.970000   5.199928\n",
       "359.975000   0.199997\n",
       "359.980000   0.999986\n",
       "359.985000   0.000000\n",
       "359.990000   1.599978\n",
       "359.995000   2.599964\n",
       "360.000000   0.000000\n",
       "\n",
       "[71999 rows x 1 columns]"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "velx[1][2] #velocity in the AP direction for participant 1_2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "HOflmqIz3_OX"
   },
   "source": [
    "### Calculating norm of velocity (QoM)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "TxwnzKDoeRG7"
   },
   "outputs": [],
   "source": [
    "def velocity_norm(displacement):\n",
    "    \n",
    "    #displacement = displacement.drop(displacement.index)\n",
    "    \n",
    "    vel = np.sqrt(\n",
    "         displacement.X ** 2 +\n",
    "         displacement.Y ** 2 +\n",
    "         displacement.Z ** 2\n",
    "    ) /  displacement['timestep (s)']\n",
    "    \n",
    "    return pd.DataFrame({\n",
    "        'Velocity': vel,\n",
    "    })\n",
    "       "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "h_UwayJnnGpc"
   },
   "outputs": [],
   "source": [
    "velocities = {}    \n",
    "\n",
    "for groups in range(1,num_groups+1):\n",
    "    velocities[groups] = {}\n",
    "    \n",
    "    for i in range(1,len(nm17[groups])+1):\n",
    "        velocities[groups][i] = velocity_norm(displacements[groups][i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "collapsed": true,
    "id": "fZZVQGZZqGYu"
   },
   "outputs": [
    {
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       "      <th>359.965000</th>\n",
       "      <td>9.959781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.970000</th>\n",
       "      <td>11.934657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.975000</th>\n",
       "      <td>6.199914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.980000</th>\n",
       "      <td>7.626164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.985000</th>\n",
       "      <td>6.930993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.990000</th>\n",
       "      <td>11.560116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.995000</th>\n",
       "      <td>2.019873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360.000000</th>\n",
       "      <td>8.930721</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>71999 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Velocity\n",
       "Time (s)             \n",
       "0.005000    14.557270\n",
       "0.010000    16.469137\n",
       "0.015000    11.162282\n",
       "0.020000    10.503187\n",
       "0.025000    11.095791\n",
       "0.030000    80.094331\n",
       "0.035000    13.956883\n",
       "0.040001    13.341479\n",
       "0.045001     9.971822\n",
       "0.050001     7.748441\n",
       "0.055001     6.587776\n",
       "0.060001    10.869992\n",
       "0.065001     6.749721\n",
       "0.070001     9.184642\n",
       "0.075001     7.293732\n",
       "0.080001     9.856840\n",
       "0.085001     8.625424\n",
       "0.090001     7.068141\n",
       "0.095001     9.169387\n",
       "0.100001     6.508366\n",
       "0.105001    10.115194\n",
       "0.110002    12.150551\n",
       "0.115002     6.696175\n",
       "0.120002     8.347339\n",
       "0.125002    10.855263\n",
       "0.130002     8.609178\n",
       "0.135002     5.546093\n",
       "0.140002     6.755644\n",
       "0.145002    10.093422\n",
       "0.150002     2.925707\n",
       "...               ...\n",
       "359.854998   7.402599\n",
       "359.859998   6.216022\n",
       "359.864998   2.059097\n",
       "359.869998   3.206199\n",
       "359.874998   7.172069\n",
       "359.879998   6.212804\n",
       "359.884998   8.421284\n",
       "359.889998   5.603492\n",
       "359.894999   4.390839\n",
       "359.899999  10.225316\n",
       "359.904999   3.498523\n",
       "359.909999   5.895679\n",
       "359.914999   3.709396\n",
       "359.919999   8.430778\n",
       "359.924999   5.083235\n",
       "359.929999   8.692405\n",
       "359.934999   8.840692\n",
       "359.939999   4.919281\n",
       "359.944999  10.546891\n",
       "359.949999   4.882554\n",
       "359.954999   9.088328\n",
       "359.959999   3.903790\n",
       "359.965000   9.959781\n",
       "359.970000  11.934657\n",
       "359.975000   6.199914\n",
       "359.980000   7.626164\n",
       "359.985000   6.930993\n",
       "359.990000  11.560116\n",
       "359.995000   2.019873\n",
       "360.000000   8.930721\n",
       "\n",
       "[71999 rows x 1 columns]"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "velocities[1][5] #displaying velocity for group 1, participant 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "IYCDhMaTqV0q"
   },
   "outputs": [],
   "source": [
    "#Concatenating velocities for all participants in each group\n",
    "vels_group = {}\n",
    "velsx_group = {}\n",
    "velsy_group = {}\n",
    "velsz_group = {}\n",
    "\n",
    "for group_id in range(1,num_groups+1):\n",
    "    vels_group[group_id] = pd.concat(velocities[group_id],1)\n",
    "    velsx_group[group_id] = pd.concat(velx[group_id],1)\n",
    "    velsy_group[group_id] = pd.concat(vely[group_id],1)\n",
    "    velsz_group[group_id] = pd.concat(velz[group_id],1)\n",
    "    \n",
    "    ID_group = list(range(1,(len(vels_group[group_id].columns)+1)))\n",
    "    \n",
    "    vels_group[group_id].columns = ID_group\n",
    "    velsx_group[group_id].columns = ID_group\n",
    "    velsy_group[group_id].columns = ID_group\n",
    "    velsz_group[group_id].columns = ID_group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "collapsed": true,
    "id": "cttAzz9XTGCu"
   },
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Time (s)</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "    <tr>\n",
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       "      <td>7.748441</td>\n",
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       "      <td>22.289598</td>\n",
       "      <td>6.587776</td>\n",
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       "    <tr>\n",
       "      <th>0.060001</th>\n",
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       "      <td>6.381134</td>\n",
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       "      <td>10.455475</td>\n",
       "      <td>10.869992</td>\n",
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       "    <tr>\n",
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       "      <td>8.049733</td>\n",
       "      <td>13.588041</td>\n",
       "      <td>6.749721</td>\n",
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       "      <td>9.184642</td>\n",
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       "    <tr>\n",
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       "      <td>5.720060</td>\n",
       "      <td>12.155488</td>\n",
       "      <td>8.209636</td>\n",
       "      <td>7.293732</td>\n",
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       "      <td>9.856840</td>\n",
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       "      <td>6.904975</td>\n",
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       "      <td>10.115194</td>\n",
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       "      <td>3.934408</td>\n",
       "      <td>12.150551</td>\n",
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       "      <td>10.906727</td>\n",
       "      <td>10.394085</td>\n",
       "      <td>5.882095</td>\n",
       "      <td>6.696175</td>\n",
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       "    <tr>\n",
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       "      <td>4.093841</td>\n",
       "      <td>10.388311</td>\n",
       "      <td>5.761864</td>\n",
       "      <td>8.347339</td>\n",
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       "    <tr>\n",
       "      <th>0.125002</th>\n",
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       "      <td>6.684217</td>\n",
       "      <td>5.730540</td>\n",
       "      <td>6.029842</td>\n",
       "      <td>10.855263</td>\n",
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       "    <tr>\n",
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       "      <td>3.757607</td>\n",
       "      <td>5.546093</td>\n",
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       "      <td>3.888390</td>\n",
       "      <td>6.755644</td>\n",
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       "    <tr>\n",
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       "      <td>10.831285</td>\n",
       "      <td>5.165197</td>\n",
       "      <td>10.093422</td>\n",
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       "    <tr>\n",
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       "      <td>3.974866</td>\n",
       "      <td>15.487845</td>\n",
       "      <td>5.138022</td>\n",
       "      <td>2.925707</td>\n",
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       "    <tr>\n",
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       "      <td>7.402599</td>\n",
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       "    <tr>\n",
       "      <th>359.859998</th>\n",
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       "    <tr>\n",
       "      <th>359.864998</th>\n",
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       "    <tr>\n",
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       "      <td>5.520793</td>\n",
       "      <td>6.752683</td>\n",
       "      <td>5.083235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.929999</th>\n",
       "      <td>10.252662</td>\n",
       "      <td>5.751442</td>\n",
       "      <td>4.907070</td>\n",
       "      <td>7.132923</td>\n",
       "      <td>8.692405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.934999</th>\n",
       "      <td>6.554297</td>\n",
       "      <td>7.014174</td>\n",
       "      <td>7.719996</td>\n",
       "      <td>10.463124</td>\n",
       "      <td>8.840692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.939999</th>\n",
       "      <td>3.538312</td>\n",
       "      <td>11.677166</td>\n",
       "      <td>4.967828</td>\n",
       "      <td>5.560498</td>\n",
       "      <td>4.919281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.944999</th>\n",
       "      <td>6.327629</td>\n",
       "      <td>4.431642</td>\n",
       "      <td>4.093841</td>\n",
       "      <td>7.467158</td>\n",
       "      <td>10.546891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.949999</th>\n",
       "      <td>7.871358</td>\n",
       "      <td>2.939347</td>\n",
       "      <td>9.560202</td>\n",
       "      <td>7.002759</td>\n",
       "      <td>4.882554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.954999</th>\n",
       "      <td>4.999931</td>\n",
       "      <td>2.289073</td>\n",
       "      <td>6.203139</td>\n",
       "      <td>6.910765</td>\n",
       "      <td>9.088328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.959999</th>\n",
       "      <td>2.366399</td>\n",
       "      <td>3.052825</td>\n",
       "      <td>8.392738</td>\n",
       "      <td>4.758085</td>\n",
       "      <td>3.903790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.965000</th>\n",
       "      <td>5.692021</td>\n",
       "      <td>5.582037</td>\n",
       "      <td>7.235921</td>\n",
       "      <td>5.436835</td>\n",
       "      <td>9.959781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.970000</th>\n",
       "      <td>7.932103</td>\n",
       "      <td>8.903808</td>\n",
       "      <td>12.362676</td>\n",
       "      <td>4.166475</td>\n",
       "      <td>11.934657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.975000</th>\n",
       "      <td>7.657570</td>\n",
       "      <td>7.914434</td>\n",
       "      <td>6.138318</td>\n",
       "      <td>5.885494</td>\n",
       "      <td>6.199914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.980000</th>\n",
       "      <td>3.984916</td>\n",
       "      <td>1.969744</td>\n",
       "      <td>9.028717</td>\n",
       "      <td>1.907852</td>\n",
       "      <td>7.626164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.985000</th>\n",
       "      <td>11.295860</td>\n",
       "      <td>1.788830</td>\n",
       "      <td>4.565021</td>\n",
       "      <td>2.306480</td>\n",
       "      <td>6.930993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.990000</th>\n",
       "      <td>6.384267</td>\n",
       "      <td>2.009947</td>\n",
       "      <td>7.730352</td>\n",
       "      <td>3.423401</td>\n",
       "      <td>11.560116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.995000</th>\n",
       "      <td>15.206366</td>\n",
       "      <td>5.473497</td>\n",
       "      <td>3.261856</td>\n",
       "      <td>3.168552</td>\n",
       "      <td>2.019873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360.000000</th>\n",
       "      <td>4.489927</td>\n",
       "      <td>3.805207</td>\n",
       "      <td>6.238503</td>\n",
       "      <td>2.383242</td>\n",
       "      <td>8.930721</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>71999 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    1          2          3          4          5\n",
       "Time (s)                                                         \n",
       "0.005000    24.968434   6.954039  18.161245  16.778325  14.557270\n",
       "0.010000    28.018176   4.534251  10.979829  16.796195  16.469137\n",
       "0.015000    25.509644   4.787417  11.902775  15.300768  11.162282\n",
       "0.020000    28.886274   4.874355   5.222953  14.373387  10.503187\n",
       "0.025000    25.771720   6.164328  12.115937  16.281051  11.095791\n",
       "0.030000    78.508527  20.291588  24.193052  16.724600  80.094331\n",
       "0.035000    26.273577   4.472074   7.290989  10.262411  13.956883\n",
       "0.040001    26.221764   2.473829   7.594630  32.958304  13.341479\n",
       "0.045001    23.705366  13.671679   9.267018  11.723318   9.971822\n",
       "0.050001    22.957033  19.584416  11.623951  41.381064   7.748441\n",
       "0.055001    25.331052   4.907070  10.411387  22.289598   6.587776\n",
       "0.060001    23.029226   6.381134  10.121124  10.455475  10.869992\n",
       "0.065001    22.142863   3.939488   8.049733  13.588041   6.749721\n",
       "0.070001    20.962533   7.045468   7.802455  10.807255   9.184642\n",
       "0.075001    19.318117   5.720060  12.155488   8.209636   7.293732\n",
       "0.080001    56.186407   3.709396   8.209636   6.675235   9.856840\n",
       "0.085001    20.233354   9.243248  16.631065   8.238818   8.625424\n",
       "0.090001    20.419315   5.607060   7.224856   8.395120   7.068141\n",
       "0.095001    19.641519   2.979891   7.853552   6.904975   9.169387\n",
       "0.100001    21.596922   9.758963  10.628117   7.070970   6.508366\n",
       "0.105001    13.861986   6.852642   7.675830   3.543960  10.115194\n",
       "0.110002    21.186494   3.543960  14.801146   3.934408  12.150551\n",
       "0.115002    16.409525  10.906727  10.394085   5.882095   6.696175\n",
       "0.120002    15.441288   4.093841  10.388311   5.761864   8.347339\n",
       "0.125002     9.210735   6.684217   5.730540   6.029842  10.855263\n",
       "0.130002    18.973402   6.752683  10.846047   5.418412   8.609178\n",
       "0.135002     9.985851   6.069512   9.610278   3.757607   5.546093\n",
       "0.140002     9.995860   7.531164   6.434194   3.888390   6.755644\n",
       "0.145002    11.560116   6.459012  10.831285   5.165197  10.093422\n",
       "0.150002    15.084882   3.974866  15.487845   5.138022   2.925707\n",
       "...               ...        ...        ...        ...        ...\n",
       "359.854998  15.210311   4.029832  13.207390   9.273490   7.402599\n",
       "359.859998   5.418412   7.496562   4.947658   7.696646   6.216022\n",
       "359.864998   5.506283  10.203779   6.811660  10.231182   2.059097\n",
       "359.869998   3.820942   4.445160   9.674575   9.943704   3.206199\n",
       "359.874998   5.502650   4.481009   2.615303  10.067631   7.172069\n",
       "359.879998   3.231054   2.449456   8.177906   5.440513   6.212804\n",
       "359.884998   4.180851   6.174054   2.505958   7.104829   8.421284\n",
       "359.889998   4.621624  10.001861   0.000000  12.815437   5.603492\n",
       "359.894999   5.329091   4.481009   6.468295  10.660058   4.390839\n",
       "359.899999   4.516573   8.141140   2.009947   7.146928  10.225316\n",
       "359.904999   2.088032   1.822061   9.442326   8.047248   3.498523\n",
       "359.909999   9.977837   2.870500   5.238248  13.411749   5.895679\n",
       "359.914999   1.720441   6.177292   9.799864  10.543098   3.709396\n",
       "359.919999  21.359479   1.939045   5.549698  10.075573   8.430778\n",
       "359.924999  11.001665   6.907870   5.520793   6.752683   5.083235\n",
       "359.929999  10.252662   5.751442   4.907070   7.132923   8.692405\n",
       "359.934999   6.554297   7.014174   7.719996  10.463124   8.840692\n",
       "359.939999   3.538312  11.677166   4.967828   5.560498   4.919281\n",
       "359.944999   6.327629   4.431642   4.093841   7.467158  10.546891\n",
       "359.949999   7.871358   2.939347   9.560202   7.002759   4.882554\n",
       "359.954999   4.999931   2.289073   6.203139   6.910765   9.088328\n",
       "359.959999   2.366399   3.052825   8.392738   4.758085   3.903790\n",
       "359.965000   5.692021   5.582037   7.235921   5.436835   9.959781\n",
       "359.970000   7.932103   8.903808  12.362676   4.166475  11.934657\n",
       "359.975000   7.657570   7.914434   6.138318   5.885494   6.199914\n",
       "359.980000   3.984916   1.969744   9.028717   1.907852   7.626164\n",
       "359.985000  11.295860   1.788830   4.565021   2.306480   6.930993\n",
       "359.990000   6.384267   2.009947   7.730352   3.423401  11.560116\n",
       "359.995000  15.206366   5.473497   3.261856   3.168552   2.019873\n",
       "360.000000   4.489927   3.805207   6.238503   2.383242   8.930721\n",
       "\n",
       "[71999 rows x 5 columns]"
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vels_group[1] #QoM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 454
    },
    "colab_type": "code",
    "id": "xuLMstln0cUL",
    "outputId": "b652d918-1ffc-4863-931d-583600696c73"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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A3HHik9ATNZ9QA57xaKOZ/v3766qrrtL27du1d+9eScd3ZLz00ksVFOTxnjWo\nJ4WFhYY1AADuYEdgoG48TsVHjhxR+/btZbfbXaPYJ+Tk5CgqKkpNmjQxrUF4LjAw0LAGAMAdR44c\nMawBuMetOdgrV67UqFGj1KVLF11xxRXq3bu37Ha7kpOT9dZbb6m8vFxOp1MPPfSQnnrqqfruGWeR\nnJxsWAMA4I6Tt8jwYMNnAP9xxhHsgoICjRs3Tps3b1ZwcLDsdruio6MVEBCg/Px8ZWVlafPmzVq2\nbJn69OmjHTt26C9/+UtD9Y4aXHDBBYY1AADuiIyMNKwBuKfGgF1WVqYHHnhAO3bs0P/8z//ozjvv\nVERERLXnHD16VMuWLdPcuXO1Y8cOjRkzRh07dqz3pnFmaWlp1er58+db2A0AoLFJSkpyXeTIAgaA\n52qcIrJ69Wpt27ZN8+bN05gxY04L15IUFhamESNGuEI1c6+9w/79+w1rAADckZmZaVgDcE+NAfvd\nd9/VVVddpSuvvPKMB1ixYoWys7PVuXNnffzxx6Y3CM8xdw4AUBf79u0zrAG4p8aA/dNPP6lnz55n\nPcDu3bs1ePBg3XLLLdqzZ4+pzaF2Tv60weiTBwAAzqSoqMiwBuCeGudgV1ZWKiws7KwHmDx5siTp\nrbfeUmVlpXmdodYOHTpkWAMAAKD+1TiC3aFDB23ZssXtA23ZskUdOnQwpSnUzcm/6PBLDwDAU6wi\nAtRNjQH7uuuu05o1a7Rz586zHiQ7O1tr1qzRoEGDTG0OtcNGMwCAuigtLTWsAbinxoB9++23Kzo6\nWnfffbe+/PLLGg/w2WefafTo0WrXrp1uv/32emkSnmnevLlhDQBGHA6HHA6H1W3Ai1RUVBjW8G+8\nV7ivxjnYTZs21Ysvvqj77rtP9957r2JjY5WYmKjo6GhJUl5enjZt2qScnBy1b99eL7zwAh8jeYnD\nhw8b1gBgJD09XZKUmppqcScAvBnvFe47406OHTt21Jo1a/TSSy9pzZo1evfdd6s93qFDB40dO1aj\nR49WeHh4vTYK95WXlxvWAHAqh8Ph2lDE4XDIbrdb3BEAb8R7hWfOGLCl48u8TZgwQRMmTFB+fr7y\n8vIkSTExMa7RbABA43RiROpEzcgUACO8V3jmrAH7ZNHR0YRqAAAA4AxqvMgRAOD7kpOTDWsAOFlS\nUpJhDWMEbADwY3a7XaGhoQoNDWVOJYAaZWZmGtYwRsAGAD/mcDh07NgxHTt2jOW3AMAkBGwA8GNp\naWmGNQCcjOlknvHoIkcAgG/57bffDGsAOJndbld8fLyrxpkRsAHAj1VVVRnWAHAqRq7dR8AGAD8W\nEBBgWAPAqRi5dh/vpgDgx1rxa4okAAAZBklEQVS0aGFYAwBqj4ANAH7MZrMZ1gBwqtWrV2v16tVW\nt9EoMEUEAPxYQUGBYQ0ApzqxXfqQIUMs7sT7MYINAH6soqLCsAaAk61evVolJSUqKSlhFNsNBGwA\nAACc0YnR61NrGCNgAwAA4IzKy8sNaxgjYAN+xOFwsB02AAD1jIAN+JH09HQ+2gMAeCw4ONiwhjEC\nNuAnHA6HsrKylJWVxSg2AMAjsbGxhjWMEbABP8EFKgCA2tqxY4dhDWMEbAAAAJxRVVWVYQ1jBGzA\nTyQnJxvWAHCqwMBAwxr+i9eEZwjYgJ+w2+2KiIhQRESE7Ha71e0A8GLNmjUzrOG/nE6nYQ1jBGzA\nTzgcDtcuXFzkCOBMiouLDWv4r+joaMMaxgjYgJ/gIkcA7qqoqDCs4b8GDx5sWMMYARsAAFTDdACc\nasWKFYY1jBGwAT/BRY4AgNoqLCw0rGGMgA0AAACYiIAN+AnmYAMAastmsxnWMEbABvwEqwIAAGqL\nefmeIWADfuLo0aOGNQAAMBcBG/AT+fn5hjUAADAXARvwE5WVlYY1AABnc8kllxjWMEbABgAAwBkd\nPHjQsIYxAjYAAADOKDc317CGMQI2AAAAYCICNgAAAGAiAjYAAABgIgI2AAAAYCICNgAAAGAiAjYA\nAABgIgI2AAAAYCICNgAAAGAiAjYAAABgoiArT56Tk6PZs2dr48aNCg8P16BBg/Twww8rNDRU+/bt\n04wZM7Rp0yb94Q9/0NSpU3XllVda2W6dLV68WF999VWDn/eee+6p93P07t1bo0aNqvfzAAAAeDvL\nRrDLysp0//33KyQkRG+++aaeffZZffrpp5o7d66cTqfGjh2rFi1aaPny5br55ps1fvx47dmzx6p2\nAQAAALdYNoK9bds25eTk6J133lGTJk0UFxenCRMm6Omnn9aVV16p3bt3a+nSpYqMjNSFF16oDRs2\naPny5Xr44YetarnORo0a1SCjvIMHD652+5VXXqn3cwIAAOA4y0awL7jgAqWlpalJkyau+2w2mw4d\nOqStW7eqc+fOioyMdD3WrVs3bdmyxYpWG52MjAzDGgAAAPXPshHsVq1aqVevXq7bVVVVWrJkiXr1\n6qX8/HzFxMRUe35UVJT2799/1uMuXLhQ+fn5pvfbWM2aNcvqFuCleG3ACK8LGOF1gVPxmpBmzpxZ\n42OWXuR4stTUVP3www9avny5Xn31VQUHB1d7PCQkROXl5Wc9ztixY+urxUblxIWNZ/rLh385deoQ\nrw1IvC5gjNcFTsVrwjOWL9PndDr15JNPKj09XXPmzFHHjh0VGhp6WpguKytTWFiYRV0CAAAA7rF0\nBLuqqkrTp09XRkaG5s6dqwEDBkiS2rRpo+zs7GrPLSgoUHR0tBVtAkCD89VlPVnSE4A/sHQE++mn\nn1ZGRobmz5+va665xnV/ly5dlJ2drZKSEtd9GzduVNeuXa1oEwAAAHCbZSPYW7Zs0euvv66JEycq\nPj6+2oWJPXr0ULt27TR16lSNGzdO69ev19atW/XUU09Z1S4ANCiW9QSAxsuyEeyPPvpIkjRnzhz1\n6dOn2n9Op1MLFy7UwYMHdcstt2j16tVasGCB2rdvb1W7AOCTWNYTAMxn2Qj2lClTNGXKlBofj42N\n1ZIlSxqwIwAAAKDuvGaZPgCANU7ddwAAUDeWL9MHAAAA+BICNgAAAGAiAjYAAABgIgI2AAAAYCIC\nNgAAAGAiAjYAAABgIgI2AAAAYCICNgAAAGAiNpoBAABoxBYvXqyvvvqqQc95zz331Ps5evfurVGj\nRtX7eeoDARuwmBVvjFL9vzk25jdGAADqgoANAADQiI0aNareBzRuuukmVVZWSpICAwP1yiuv1Ov5\nGjsCNmCxhnhjlI6PWOfl5UmSYmJieHMEALht1apVGjx4sKvGmXGRI+AnTg7UhGsAAOoPI9iAH7HZ\nbFa3AABopGJiYqxuodEgYAN+JDo62uoWANQBF0UDjQNTRAAAAAATMYINAEAj0VAXRZ+4mO0ErtsA\nPMMINgAAqCYjI8OwBuAeAjYAAABgIqaIAACA07BiBFB7jGADAAAAJiJgAwAAACby+ykikydP1oED\nB6xuw3QFBQWS6n/t0oYWFRWlZ555xuo2AAAAauT3AfvAgQPKy8uXLTjc6lZM5fzPhxP5hcUWd2Ie\nZ3mp1S0AAACcld8HbEmyBYcr8sIbrW4DZ1H843tWtwAAAHBWBGwAcBNTyhoXppQBsAoBGwDcdODA\nAeXn5SkywLeuDw+sqpIklf4naPuC4v98TwBgBQI2AHggMiBAdzZvZXUbOIslvx+0ugUAfsy3hmEA\nAAAAixGwAQAAABMRsAEAAAATEbABAAAAE3GRIwAAgMl8cVlPX13SUzJ/WU8CNmDAF98YJd99c2S9\nYwDe5sCBA8rPz1PTJiFWt2KaoMDj/z9aUmRtIyY7fKTM9GMSsAEDBw4cUF5+ngLCfeufSFWAU5JU\nUOw7S5hVlVZY3QIAGGraJET33WG3ug2cxaKlDtOP6VvpoRaKi4vlLC9lG+5GwFlequLihjtfQHiQ\nWl7boeFOiFop/DDH6hYAAKjG7wM2ALiruLhYpVVVbGLSCBRXVamyIX8jB4CT+H3AjoyMVGm5FHnh\njVa3grMo/vE9RUZGWt0GAFTDNRuNC9dsoCH4fcAGAHdFRkYq8OhRtkpvBJb8flDhDfQL+YEDB5SX\nl6/Q4IgGOV9Dsen4FW2/Fx6xuBPzHCsvsboF+AkCNgAAdRQaHKHES261ug2cxaYfVljdAvwEG80A\nAAAAJmIEGzBQXFysqtIKVqhoBKpKK1QsLmYD4F2Ki4tVWlpWL0vAwVyHj5SposrcnyOMYAMAAAAm\nYgQbMBAZGamjKmMd7Eag8MMcVpcB4HUiIyMVFFDBRjONwKKlDoVFmPtzhBFsAAAAwESMYEs+uZOj\ns7JMkmQLDLG4E/M4y0slMVIJaxX74EYzR6uqJElhAb4z5lJcVaXwhjpXcbGOlZeyQkUjcKy8RMXF\nTqvbgB/w+4AdFRVldQv14sQGAa1b+lIgjfTZvy80Dr76+jvyn/eL8NatLe7EPOHy3b8vAN7P7wO2\nr+7mdGLnrVdeecXiTgDfwfsFjERGRqqy3MY62I3Aph9WKDKyidVtwA/4zueBAAAAgBfw+xFsoCa+\nuA52VVmlJCkgJNDiTsxTVVrB1HwAXunwEd9aB/vosQpJUliob8XHw0fKFBZh7jF9608IMImvzt10\nzc2PbGVxJyaK9N2/LwCNly++LxWXHP8ZEhbRwuJOzBUWYf7fFwEbMMBcWwBAXfjizxF+hriPgA0A\nQB0dKy/xuWX6Kv6z3GuQDy33eqy8RBIXOaL+EbABAKgDX5wKIEkFBaWSpOYtfSmQNvHZvy94FwI2\nAAB14ItTASSmAwB1wTJ9AAAAgIkI2AAAAICJCNgAAACAiQjYAAAAgIkI2AAAAICJCNgAAACAiQjY\nAAAAgIm8OmCXlZVpxowZ6t69u3r37q2XXnrJ6pYAAACAM/LqjWaeeeYZbdmyRa+++qr279+vyZMn\nq127drr++uutbg0AAAAw5LUj2CUlJXr77bc1bdo0xcfHa8CAARo9erSWLFlidWsAAABAjbw2YGdn\nZ6usrEzdunVz3detWzc5HA5VVlZa2BkAAABQM5vT6XRa3YSRjz76SI8++qi++eYb1327du3SoEGD\n9MUXXygmJsbC7mpn8eLF+uqrrxrkXAUFBZKk1q1bN8j5evfurVGjRjXIuXyNr74ueE3UDa8LGOF1\nASMN9bogW7jPa+dgl5aWKiQkpNp9J26XlZXV+HULFy5Ufn5+vfZWW3v27FFRUVGDnrOhzrdhwwbt\n2bOnQc7la3z1dcFrom54XcAIrwsYaejXBdniuJkzZ9b4mNcG7NDQ0NOC9Inb4eHhNX7d2LFj67Uv\nAAAA4Ey8dg52mzZtdOjQoWohOz8/XyEhIWrevLmFnQEAAAA189qAfckllyg4OFibN2923bdx40Zd\neumlCgry2oF3AAAA+DmvDdjh4eG66aabNGvWLG3btk1r167V4sWL9ec//9nq1gAAAIAaee0qItLx\nCx0fe+wxffzxx2rSpIlGjRrVaK8mBQAAgH/w6oANAAAANDZeO0UEAAAAaIwI2AAAAICJCNgAAACA\niQjYAAAAgIkI2AAAAICJCNgAAACAiQjYAAAAgIkI2AAAAICJCNgAAACAiQjYAAAAgIkI2AAAAICJ\nCNgAAACAiQjYAAAAgIkI2AAAAICJCNgAAACAiQjYAAAAgIkI2AAAAICJCNgAAACAiQjYPqqsrEw3\n3HCDNmzYYHUr8AI5OTm6//771b17d/Xt21dPP/20jh07ZnVbsNiuXbs0cuRIJSQk6Oqrr9bLL79s\ndUvwMo888ojuuusuq9uAF1izZo06depU7b+xY8da3ZbXCrK6AZjv2LFjmjhxonbu3Gl1K/ACZWVl\nuv/++3XhhRfqzTff1IEDB5SSkiJJmjp1qsXdwSrl5eW69957dcUVV2jWrFn66aefNHHiRMXExOjG\nG2+0uj14ga+//lrvvPOOevToYXUr8AI7d+7UwIEDNXPmTNd9oaGhFnbk3RjB9jE//vijhg8frpyc\nHKtbgZfYtm2bcnJylJqaqri4OPXo0UMTJkxQRkaG1a3BQrm5ubrssss0c+ZMxcbG6uqrr1avXr30\n7bffWt0avEBJSYlmzJihxMREq1uBl9i1a5c6deqk6Oho13/NmjWzui2vRcD2Mf/+9791xRVX6K23\n3rK6FXiJCy64QGlpaWrSpInrPpvNpkOHDlnYFazWvn17/e1vf1NYWJicTqc2btyob7/9Vj179rS6\nNXiBuXPnqkePHoxew+XHH3/U+eefb3UbjQZTRHxMcnKy1S3Ay7Rq1Uq9evVy3a6qqtKSJUuq3Qf/\n1rdvX+Xl5enqq6/Wn/70J6vbgcU2b96sDz/8UGvWrNHixYutbgdeoKysTHv27NH69es1b948OZ1O\nXXvttRo/frxCQkKsbs8rMYIN+JnU1FT98MMPmjRpktWtwEssXLhQCxcu1Pbt25Wammp1O7BQWVmZ\npk+frpSUFDVv3tzqduAlfvnlF1VUVCgiIkLz58/X5MmTlZGRwfvFGTCCDfgJp9Opp556SsuWLdO8\nefPUsWNHq1uCl7Db7ZKko0ePasqUKZo8eTKjUn7q+eefV2xsrK677jqrW4EX6dixozIzM9WyZUtJ\n0sUXXyyn06mJEydq+vTpCgoiTp6KPxHAD1RVVWn69OnKyMjQ3LlzNWDAAKtbgsVyc3OVlZWl/v37\nu+6Li4tTeXm5iouL1apVKwu7g1UyMjKUn5+vhIQEScdXm6msrFRCQoI2b95scXew0olwfcKJ94uD\nBw8qJibGoq68F1NEAD/w9NNPKyMjQ/Pnz9c111xjdTvwArt27dK4ceN04MAB133bt29Xq1atCNd+\n7I033tCaNWu0atUqrVq1SsOGDVN8fLxWrVpldWuw0Mcff6xevXqprKzMdd/333+vZs2aKTo62sLO\nvBcj2ICP27Jli15//XVNnDhR8fHxys/Pdz3GG6P/6t69u+Li4jR16lRNnTpVOTk5mjNnju6//36r\nW4OFzjnnnGq3mzVrprCwMMXGxlrUEbxB9+7d5XQ69eijj+q+++7TL7/8omeeeUb33HOPbDab1e15\nJQI24OM++ugjSdKcOXM0Z86cao9t376duXN+Kjg4WGlpaZo1a5aGDRumJk2aaMSIEfrzn/9sdWsA\nvEzLli31yiuvKDU1VbfccosiIyN1++2367777rO6Na9lczqdTqubAAAAAHwFc7ABAAAAExGwAQAA\nABMRsAEAAAATEbABAAAAExGwAQAAABMRsAEAAAATEbABoB5NnTpVnTp1qvbfJZdcosTERA0bNkwr\nV6409XwHDhxQSUnJaef3xPz589WpUyft3bvX1N5qo6qqyiv6AABPsMMEADSAadOmqWXLlpIkp9Op\n4uJivffee5o6daoKCws1atSoOp/j888/16RJk7Ry5UpFRERIkm677Tb17NnTo+MMHDhQHTp0sHzL\n9OLiYo0cOVJXXnmlxo0bZ2kvAOAJAjYANIABAwaoffv21e4bOnSoBg0apOeff1533nmnQkJC6nSO\nbdu26dChQ9XuS0hIUEJCgkfHufjii3XxxRfXqRczFBUVyeFw6Morr7S6FQDwCFNEAMAiYWFh6tev\nn4qLi7Vz506r2wEAmISADQAWstlskqTKyko5nU4tW7ZMQ4cOVUJCgux2u6699lqlpaXJ6XS6vqZf\nv3565JFHlJKSossuu0x9+/bVfffdpwULFkiS+vfvr7vuukuS8Rzs3NxcpaSkqE+fPkpISNCtt96q\nTz/91PX4qXOw58+fr86dO+unn37SXXfdpS5duqhfv35auHChKisrqx17+/btGjdunHr16qVLL71U\nPXv21MSJE7V///5qx7fb7fr555913333KSEhQd27d9eUKVNUWFgoSfrmm2/Uv39/SdKCBQu8Zk44\nALiDKSIAYJGqqir9+9//VkhIiOLi4vS3v/1NL774om6++WYNHz5cR44c0apVqzRnzhw1adJEd9xx\nh+tr33//fV1wwQVKSUlRQUGBevfureDgYH3yySeaNm2aOnbsaHjOoqIiDR8+XEVFRbrjjjt07rnn\nas2aNXrwwQe1YMECDRgwwPDrnE6n7r77bnXs2FH/7//9P33zzTeaN2+e9u/fr8cff1yStGPHDiUn\nJys2NlZjxoxReHi4Nm3apNWrV+uXX37R8uXLq33vf/7zn3X55ZdrypQpcjgcWr58uY4ePap58+Yp\nLi5O06ZNU2pqqgYOHKiBAwdaPiccANxFwAaABnDo0CEdPHhQ0vHR6n379um1115Tdna2Ro4cqZCQ\nEC1ZskTXX3+9nn76adfXDRs2TD179tQXX3xRLWAfPXpUCxcuVJs2bVz3derUSZ988onhfO8TXnrp\nJe3fv1/p6enq1q2bJOmWW27RDTfcoBdffLHGgF1VVaX4+HgtWLBANptNd955pyZNmqS3335bI0aM\nUFxcnNLT02Wz2fSPf/xDLVq0kHT8Isvy8nK9//77Kioqct1fUVGhQYMGaerUqZKk22+/Xbm5ufr0\n009VWlqq1q1ba8CAAUpNTVWnTp00ZMiQ2v7RA0CDI2ADQAO4+eabT7svJCREd911lyZOnKjg4GBt\n2LBB5eXl1Z5TWFioyMjIakvvSVKHDh2qhWt3ffbZZ7r00ktd4VqSQkNDlZaWptDQ0DN+7ZgxY1xT\nWiTp7rvvVkZGhtavX6+4uDg99thjmjBhgitES8dXAjlx3JKSkmqPXXfdddWOf8kll+iLL75QUVGR\nwsPDPf7eAMBbELABoAH89a9/VevWrSVJAQEBatasmeLi4qqF2uDgYH322Wdau3atdu/erV9++UW/\n//67JFWbgy1JUVFRtepj37596tev32n3n3/++Wf92ri4uGq3Y2NjXceUjs8nLyws1KJFi7Rjxw7l\n5OTo119/dfVeVVVV7etPnfJxYhWVU+d1A0BjQ8AGgAaQmJhY47QN6XiAHjt2rNavX69u3bopISFB\nt912m7p3764RI0ac9vzAwMBa9VFZWVltFNoTwcHB1W6fCMwnevnggw80adIkxcTEKCkpSX379lV8\nfLy+/PJLLVq06LTj1bYPAPB2BGwA8ALfffed1q9fr7Fjx2rChAmu+ysqKlRUVKRzzz3XlPO0a9dO\nOTk5p92/cuVKbdy4UY8++miNX7tnzx5deOGFrts///yzpP8byZ4zZ45iY2O1YsUK10Y3kpSRkWFK\n7wDQWLBMHwB4gaKiIkmqFmAl6e2331ZpaakqKirOeoyAgONv6adOJzlZ37595XA4lJWV5bqvvLxc\nr7zyirKyss642c0bb7xR7farr76qoKAg15SToqIitWvXrlq4/u233/Txxx9L8nzqx4mR8VOnlgCA\nt2MEGwC8QEJCgiIjI5Wamqp9+/apefPm+uabb/TBBx8oNDRUR44cOesxTsxpfvnll9W3b1/XOtIn\nu//++/XRRx9pxIgRuvPOOxUTE6P3339fu3bt0uLFi894/JUrV6q4uFiJiYn64osvtH79ej3wwAM6\n55xzJB0P7x988IEeffRR2e127d271/ULgiS3voeTtWjRQgEBAVq7dq3atWuna665Rs2bN/foGABg\nBUawAcALtG7dWmlpaTr33HP1wgsv6LnnntOvv/6q5557TsnJyfrxxx9VUFBwxmNcf/316tWrl959\n9109++yzhs+JiorSW2+9pauvvlpvvvmmnn32WTmdTi1evFg9e/Y84/EXLFigvXv36umnn1ZOTo6e\neOIJjR8/3vX4Y489pqFDh2rdunV68skn9eGHH+qmm27Sa6+9JknKzMz06M8kPDxcDz/8sHJzc/Xk\nk08qOzvbo68HAKvYnGf6LBEA4Pfmz5+vBQsWaO3atWe8UBMAcBwj2AAAAICJCNgAAACAiQjYAAAA\ngImYgw0AAACYiBFsAAAAwEQEbAAAAMBEBGwAAADARARsAAAAwEQEbAAAAMBE/x+k4F/DCsGjaAAA\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Box plot of QoM\n",
    "\n",
    "figbox, axbox = plt.subplots(figsize=(12,7))\n",
    "qombox = seaborn.boxplot(ax=axbox, data=vels_group[1], width=0.8) #Box plot for Group 1\n",
    "axbox.set_facecolor(\"white\")\n",
    "axbox.yaxis.grid(color='gray')\n",
    "qombox.set_xlabel(\"Participant\",fontsize=18)\n",
    "qombox.set_ylabel(\"QoM (mm/s)\",fontsize=18)\n",
    "qombox.tick_params(labelsize=14)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "LSK2-ZGNjv9K"
   },
   "source": [
    "### Smoothing velocity\n",
    "Calculating the envelope of the velocity using a rolling average"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "lzuYYv7Hi99n"
   },
   "outputs": [],
   "source": [
    "#Smoothing the velocity profile for all participants (envelope)\n",
    "velenv = {}    \n",
    "velenvx = {}\n",
    "velenvy = {}\n",
    "velenvz = {}\n",
    "\n",
    "for groups in range(1,num_groups+1):\n",
    "    velenv[groups] = {}\n",
    "    velenvx[groups] = {}\n",
    "    velenvy[groups] = {}\n",
    "    velenvz[groups] = {}\n",
    "    \n",
    "    \n",
    "    for i in range(1,len(nm17[groups])+1):\n",
    "        velenv[groups][i] = vels_group[groups][i].rolling(200,center=True,win_type='boxcar',min_periods=1).mean()\n",
    "        \n",
    "        velenvx[groups][i] = velsx_group[groups][i].rolling(200,center=True,win_type='boxcar',min_periods=1).mean()\n",
    "        velenvy[groups][i] = velsy_group[groups][i].rolling(200,center=True,win_type='boxcar',min_periods=1).mean()\n",
    "        velenvz[groups][i] = velsz_group[groups][i].rolling(200,center=True,win_type='boxcar',min_periods=1).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "tGhikyntkfZx"
   },
   "outputs": [],
   "source": [
    "#Concatenating smoothed velocity for all participants in each group\n",
    "vel_env_group = {}\n",
    "vel_envx_group = {}\n",
    "vel_envy_group = {}\n",
    "vel_envz_group = {}\n",
    "\n",
    "for group_id in range(1,num_groups+1):\n",
    "    vel_env_group[group_id] = pd.concat(velenv[group_id],1)\n",
    "    \n",
    "    vel_envx_group[group_id] = pd.concat(velenvx[group_id],1)\n",
    "    vel_envy_group[group_id] = pd.concat(velenvy[group_id],1)\n",
    "    vel_envz_group[group_id] = pd.concat(velenvz[group_id],1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "collapsed": true,
    "id": "W3-V0GDnWhO-"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Time (s)</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.005000</th>\n",
       "      <td>11.511840</td>\n",
       "      <td>3.839947</td>\n",
       "      <td>8.269885</td>\n",
       "      <td>5.293926</td>\n",
       "      <td>7.141901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.010000</th>\n",
       "      <td>11.457267</td>\n",
       "      <td>3.821729</td>\n",
       "      <td>8.231569</td>\n",
       "      <td>5.289035</td>\n",
       "      <td>7.191979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.015000</th>\n",
       "      <td>11.425332</td>\n",
       "      <td>3.790143</td>\n",
       "      <td>8.233219</td>\n",
       "      <td>5.274437</td>\n",
       "      <td>7.144999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.020000</th>\n",
       "      <td>11.401783</td>\n",
       "      <td>3.764996</td>\n",
       "      <td>8.207653</td>\n",
       "      <td>5.275655</td>\n",
       "      <td>7.131940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.025000</th>\n",
       "      <td>11.382534</td>\n",
       "      <td>3.765332</td>\n",
       "      <td>8.238347</td>\n",
       "      <td>5.255696</td>\n",
       "      <td>7.124901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.030000</th>\n",
       "      <td>11.293176</td>\n",
       "      <td>3.750424</td>\n",
       "      <td>8.245600</td>\n",
       "      <td>5.253260</td>\n",
       "      <td>7.089425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.035000</th>\n",
       "      <td>11.256447</td>\n",
       "      <td>3.792400</td>\n",
       "      <td>8.171585</td>\n",
       "      <td>5.220682</td>\n",
       "      <td>7.064053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.040001</th>\n",
       "      <td>11.169938</td>\n",
       "      <td>3.799947</td>\n",
       "      <td>8.192410</td>\n",
       "      <td>5.231703</td>\n",
       "      <td>7.059715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.045001</th>\n",
       "      <td>11.105401</td>\n",
       "      <td>3.777725</td>\n",
       "      <td>8.183220</td>\n",
       "      <td>5.235112</td>\n",
       "      <td>7.031384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.050001</th>\n",
       "      <td>11.062232</td>\n",
       "      <td>3.750407</td>\n",
       "      <td>8.183373</td>\n",
       "      <td>5.218276</td>\n",
       "      <td>7.009077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.055001</th>\n",
       "      <td>10.976211</td>\n",
       "      <td>3.739948</td>\n",
       "      <td>8.130796</td>\n",
       "      <td>5.203564</td>\n",
       "      <td>6.998085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.060001</th>\n",
       "      <td>10.934983</td>\n",
       "      <td>3.727876</td>\n",
       "      <td>8.127815</td>\n",
       "      <td>5.207135</td>\n",
       "      <td>6.949453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.065001</th>\n",
       "      <td>10.890920</td>\n",
       "      <td>3.717806</td>\n",
       "      <td>8.094530</td>\n",
       "      <td>5.199928</td>\n",
       "      <td>6.912404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.070001</th>\n",
       "      <td>10.808699</td>\n",
       "      <td>3.697294</td>\n",
       "      <td>8.035287</td>\n",
       "      <td>5.208777</td>\n",
       "      <td>6.884860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.075001</th>\n",
       "      <td>10.750728</td>\n",
       "      <td>3.673633</td>\n",
       "      <td>8.050765</td>\n",
       "      <td>5.220980</td>\n",
       "      <td>6.884115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.080001</th>\n",
       "      <td>10.674634</td>\n",
       "      <td>3.650384</td>\n",
       "      <td>8.020758</td>\n",
       "      <td>5.196450</td>\n",
       "      <td>6.893817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.085001</th>\n",
       "      <td>10.608473</td>\n",
       "      <td>3.632708</td>\n",
       "      <td>7.994717</td>\n",
       "      <td>5.189583</td>\n",
       "      <td>6.851629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.090001</th>\n",
       "      <td>10.567375</td>\n",
       "      <td>3.622172</td>\n",
       "      <td>7.926386</td>\n",
       "      <td>5.158903</td>\n",
       "      <td>6.832384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.095001</th>\n",
       "      <td>10.484600</td>\n",
       "      <td>3.605035</td>\n",
       "      <td>7.889721</td>\n",
       "      <td>5.152471</td>\n",
       "      <td>6.784652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.100001</th>\n",
       "      <td>10.458678</td>\n",
       "      <td>3.626840</td>\n",
       "      <td>7.840227</td>\n",
       "      <td>5.139424</td>\n",
       "      <td>6.779738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.105001</th>\n",
       "      <td>10.388189</td>\n",
       "      <td>3.604950</td>\n",
       "      <td>7.821558</td>\n",
       "      <td>5.099929</td>\n",
       "      <td>6.754906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.110002</th>\n",
       "      <td>10.342005</td>\n",
       "      <td>3.578463</td>\n",
       "      <td>7.775099</td>\n",
       "      <td>5.072657</td>\n",
       "      <td>6.713956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.115002</th>\n",
       "      <td>10.276906</td>\n",
       "      <td>3.560606</td>\n",
       "      <td>7.711368</td>\n",
       "      <td>5.067143</td>\n",
       "      <td>6.708104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.120002</th>\n",
       "      <td>10.261646</td>\n",
       "      <td>3.560926</td>\n",
       "      <td>7.651926</td>\n",
       "      <td>5.029198</td>\n",
       "      <td>6.720232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.125002</th>\n",
       "      <td>10.219213</td>\n",
       "      <td>3.545112</td>\n",
       "      <td>7.638604</td>\n",
       "      <td>5.001543</td>\n",
       "      <td>6.685391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.130002</th>\n",
       "      <td>10.183859</td>\n",
       "      <td>3.526351</td>\n",
       "      <td>7.590295</td>\n",
       "      <td>4.975931</td>\n",
       "      <td>6.687907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.135002</th>\n",
       "      <td>10.153827</td>\n",
       "      <td>3.499951</td>\n",
       "      <td>7.545927</td>\n",
       "      <td>4.950725</td>\n",
       "      <td>6.634828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.140002</th>\n",
       "      <td>10.119544</td>\n",
       "      <td>3.480267</td>\n",
       "      <td>7.494384</td>\n",
       "      <td>4.913318</td>\n",
       "      <td>6.614081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.145002</th>\n",
       "      <td>10.102985</td>\n",
       "      <td>3.460889</td>\n",
       "      <td>7.454584</td>\n",
       "      <td>4.878057</td>\n",
       "      <td>6.631158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.150002</th>\n",
       "      <td>10.060325</td>\n",
       "      <td>3.440262</td>\n",
       "      <td>7.410750</td>\n",
       "      <td>4.851095</td>\n",
       "      <td>6.593707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.854998</th>\n",
       "      <td>4.812241</td>\n",
       "      <td>2.604579</td>\n",
       "      <td>8.353730</td>\n",
       "      <td>6.558370</td>\n",
       "      <td>4.258402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.859998</th>\n",
       "      <td>4.816987</td>\n",
       "      <td>2.609266</td>\n",
       "      <td>8.381279</td>\n",
       "      <td>6.565800</td>\n",
       "      <td>4.260406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.864998</th>\n",
       "      <td>4.813996</td>\n",
       "      <td>2.592151</td>\n",
       "      <td>8.326447</td>\n",
       "      <td>6.613971</td>\n",
       "      <td>4.260878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.869998</th>\n",
       "      <td>4.766863</td>\n",
       "      <td>2.576342</td>\n",
       "      <td>8.329018</td>\n",
       "      <td>6.614081</td>\n",
       "      <td>4.286555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.874998</th>\n",
       "      <td>4.784061</td>\n",
       "      <td>2.542822</td>\n",
       "      <td>8.352265</td>\n",
       "      <td>6.650701</td>\n",
       "      <td>4.280893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.879998</th>\n",
       "      <td>4.782334</td>\n",
       "      <td>2.497565</td>\n",
       "      <td>8.297485</td>\n",
       "      <td>6.665507</td>\n",
       "      <td>4.284740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.884998</th>\n",
       "      <td>4.809611</td>\n",
       "      <td>2.487062</td>\n",
       "      <td>8.296659</td>\n",
       "      <td>6.680552</td>\n",
       "      <td>4.304779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.889998</th>\n",
       "      <td>4.790177</td>\n",
       "      <td>2.481266</td>\n",
       "      <td>8.219398</td>\n",
       "      <td>6.716980</td>\n",
       "      <td>4.300753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.894999</th>\n",
       "      <td>4.796655</td>\n",
       "      <td>2.463900</td>\n",
       "      <td>8.183493</td>\n",
       "      <td>6.742529</td>\n",
       "      <td>4.296662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.899999</th>\n",
       "      <td>4.803239</td>\n",
       "      <td>2.457817</td>\n",
       "      <td>8.128813</td>\n",
       "      <td>6.781724</td>\n",
       "      <td>4.294155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.904999</th>\n",
       "      <td>4.798267</td>\n",
       "      <td>2.476632</td>\n",
       "      <td>8.064888</td>\n",
       "      <td>6.791572</td>\n",
       "      <td>4.309940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.909999</th>\n",
       "      <td>4.831866</td>\n",
       "      <td>2.475596</td>\n",
       "      <td>7.930982</td>\n",
       "      <td>6.840241</td>\n",
       "      <td>4.317587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.914999</th>\n",
       "      <td>4.849085</td>\n",
       "      <td>2.449119</td>\n",
       "      <td>7.913449</td>\n",
       "      <td>6.869396</td>\n",
       "      <td>4.328753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.919999</th>\n",
       "      <td>4.820446</td>\n",
       "      <td>2.461504</td>\n",
       "      <td>7.798182</td>\n",
       "      <td>6.928109</td>\n",
       "      <td>4.328145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.924999</th>\n",
       "      <td>4.836140</td>\n",
       "      <td>2.451690</td>\n",
       "      <td>7.684376</td>\n",
       "      <td>6.963696</td>\n",
       "      <td>4.353388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.929999</th>\n",
       "      <td>4.850367</td>\n",
       "      <td>2.457357</td>\n",
       "      <td>7.579025</td>\n",
       "      <td>7.024250</td>\n",
       "      <td>4.318201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.934999</th>\n",
       "      <td>4.838529</td>\n",
       "      <td>2.475404</td>\n",
       "      <td>7.524457</td>\n",
       "      <td>7.049025</td>\n",
       "      <td>4.287660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.939999</th>\n",
       "      <td>4.837101</td>\n",
       "      <td>2.454833</td>\n",
       "      <td>7.353880</td>\n",
       "      <td>7.111406</td>\n",
       "      <td>4.322064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.944999</th>\n",
       "      <td>4.860647</td>\n",
       "      <td>2.473180</td>\n",
       "      <td>7.205257</td>\n",
       "      <td>7.133829</td>\n",
       "      <td>4.316011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.949999</th>\n",
       "      <td>4.875608</td>\n",
       "      <td>2.448615</td>\n",
       "      <td>7.104406</td>\n",
       "      <td>7.176477</td>\n",
       "      <td>4.308048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.954999</th>\n",
       "      <td>4.872660</td>\n",
       "      <td>2.436330</td>\n",
       "      <td>6.928995</td>\n",
       "      <td>7.221718</td>\n",
       "      <td>4.292668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.959999</th>\n",
       "      <td>4.853144</td>\n",
       "      <td>2.445838</td>\n",
       "      <td>6.891647</td>\n",
       "      <td>7.245771</td>\n",
       "      <td>4.284344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.965000</th>\n",
       "      <td>4.868451</td>\n",
       "      <td>2.424040</td>\n",
       "      <td>6.696203</td>\n",
       "      <td>7.273973</td>\n",
       "      <td>4.292533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.970000</th>\n",
       "      <td>4.835447</td>\n",
       "      <td>2.429873</td>\n",
       "      <td>6.570002</td>\n",
       "      <td>7.332608</td>\n",
       "      <td>4.263492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.975000</th>\n",
       "      <td>4.760311</td>\n",
       "      <td>2.435815</td>\n",
       "      <td>6.462174</td>\n",
       "      <td>7.356502</td>\n",
       "      <td>4.277299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.980000</th>\n",
       "      <td>4.790410</td>\n",
       "      <td>2.459013</td>\n",
       "      <td>6.266580</td>\n",
       "      <td>7.409421</td>\n",
       "      <td>4.222798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.985000</th>\n",
       "      <td>4.796087</td>\n",
       "      <td>2.480735</td>\n",
       "      <td>6.174914</td>\n",
       "      <td>7.426820</td>\n",
       "      <td>4.217249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.990000</th>\n",
       "      <td>4.761099</td>\n",
       "      <td>2.497053</td>\n",
       "      <td>6.029042</td>\n",
       "      <td>7.458149</td>\n",
       "      <td>4.240718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.995000</th>\n",
       "      <td>4.752875</td>\n",
       "      <td>2.425457</td>\n",
       "      <td>5.909722</td>\n",
       "      <td>7.492053</td>\n",
       "      <td>4.223471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360.000000</th>\n",
       "      <td>4.748449</td>\n",
       "      <td>2.429669</td>\n",
       "      <td>5.762296</td>\n",
       "      <td>7.514747</td>\n",
       "      <td>4.164299</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>71999 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    1         2         3         4         5\n",
       "Time (s)                                                     \n",
       "0.005000    11.511840  3.839947  8.269885  5.293926  7.141901\n",
       "0.010000    11.457267  3.821729  8.231569  5.289035  7.191979\n",
       "0.015000    11.425332  3.790143  8.233219  5.274437  7.144999\n",
       "0.020000    11.401783  3.764996  8.207653  5.275655  7.131940\n",
       "0.025000    11.382534  3.765332  8.238347  5.255696  7.124901\n",
       "0.030000    11.293176  3.750424  8.245600  5.253260  7.089425\n",
       "0.035000    11.256447  3.792400  8.171585  5.220682  7.064053\n",
       "0.040001    11.169938  3.799947  8.192410  5.231703  7.059715\n",
       "0.045001    11.105401  3.777725  8.183220  5.235112  7.031384\n",
       "0.050001    11.062232  3.750407  8.183373  5.218276  7.009077\n",
       "0.055001    10.976211  3.739948  8.130796  5.203564  6.998085\n",
       "0.060001    10.934983  3.727876  8.127815  5.207135  6.949453\n",
       "0.065001    10.890920  3.717806  8.094530  5.199928  6.912404\n",
       "0.070001    10.808699  3.697294  8.035287  5.208777  6.884860\n",
       "0.075001    10.750728  3.673633  8.050765  5.220980  6.884115\n",
       "0.080001    10.674634  3.650384  8.020758  5.196450  6.893817\n",
       "0.085001    10.608473  3.632708  7.994717  5.189583  6.851629\n",
       "0.090001    10.567375  3.622172  7.926386  5.158903  6.832384\n",
       "0.095001    10.484600  3.605035  7.889721  5.152471  6.784652\n",
       "0.100001    10.458678  3.626840  7.840227  5.139424  6.779738\n",
       "0.105001    10.388189  3.604950  7.821558  5.099929  6.754906\n",
       "0.110002    10.342005  3.578463  7.775099  5.072657  6.713956\n",
       "0.115002    10.276906  3.560606  7.711368  5.067143  6.708104\n",
       "0.120002    10.261646  3.560926  7.651926  5.029198  6.720232\n",
       "0.125002    10.219213  3.545112  7.638604  5.001543  6.685391\n",
       "0.130002    10.183859  3.526351  7.590295  4.975931  6.687907\n",
       "0.135002    10.153827  3.499951  7.545927  4.950725  6.634828\n",
       "0.140002    10.119544  3.480267  7.494384  4.913318  6.614081\n",
       "0.145002    10.102985  3.460889  7.454584  4.878057  6.631158\n",
       "0.150002    10.060325  3.440262  7.410750  4.851095  6.593707\n",
       "...               ...       ...       ...       ...       ...\n",
       "359.854998   4.812241  2.604579  8.353730  6.558370  4.258402\n",
       "359.859998   4.816987  2.609266  8.381279  6.565800  4.260406\n",
       "359.864998   4.813996  2.592151  8.326447  6.613971  4.260878\n",
       "359.869998   4.766863  2.576342  8.329018  6.614081  4.286555\n",
       "359.874998   4.784061  2.542822  8.352265  6.650701  4.280893\n",
       "359.879998   4.782334  2.497565  8.297485  6.665507  4.284740\n",
       "359.884998   4.809611  2.487062  8.296659  6.680552  4.304779\n",
       "359.889998   4.790177  2.481266  8.219398  6.716980  4.300753\n",
       "359.894999   4.796655  2.463900  8.183493  6.742529  4.296662\n",
       "359.899999   4.803239  2.457817  8.128813  6.781724  4.294155\n",
       "359.904999   4.798267  2.476632  8.064888  6.791572  4.309940\n",
       "359.909999   4.831866  2.475596  7.930982  6.840241  4.317587\n",
       "359.914999   4.849085  2.449119  7.913449  6.869396  4.328753\n",
       "359.919999   4.820446  2.461504  7.798182  6.928109  4.328145\n",
       "359.924999   4.836140  2.451690  7.684376  6.963696  4.353388\n",
       "359.929999   4.850367  2.457357  7.579025  7.024250  4.318201\n",
       "359.934999   4.838529  2.475404  7.524457  7.049025  4.287660\n",
       "359.939999   4.837101  2.454833  7.353880  7.111406  4.322064\n",
       "359.944999   4.860647  2.473180  7.205257  7.133829  4.316011\n",
       "359.949999   4.875608  2.448615  7.104406  7.176477  4.308048\n",
       "359.954999   4.872660  2.436330  6.928995  7.221718  4.292668\n",
       "359.959999   4.853144  2.445838  6.891647  7.245771  4.284344\n",
       "359.965000   4.868451  2.424040  6.696203  7.273973  4.292533\n",
       "359.970000   4.835447  2.429873  6.570002  7.332608  4.263492\n",
       "359.975000   4.760311  2.435815  6.462174  7.356502  4.277299\n",
       "359.980000   4.790410  2.459013  6.266580  7.409421  4.222798\n",
       "359.985000   4.796087  2.480735  6.174914  7.426820  4.217249\n",
       "359.990000   4.761099  2.497053  6.029042  7.458149  4.240718\n",
       "359.995000   4.752875  2.425457  5.909722  7.492053  4.223471\n",
       "360.000000   4.748449  2.429669  5.762296  7.514747  4.164299\n",
       "\n",
       "[71999 rows x 5 columns]"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vel_envx_group[1] #smoothed velocities group 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 541
    },
    "colab_type": "code",
    "id": "gAeZmoE8wc42",
    "outputId": "9012c666-b925-4264-d71a-fbf66aa7fec4"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Velocity (QoM) participant 1_5')"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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lS+qf//ynOVAfPXpUV65cydQsdEZ/P7LC2rVr9fHHH+v27dvmthMnTujs2bPmZxMA5G7M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\nQgghhGSIgmpCCCGEEEIy9P8BF01cK+LEY/gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Raw and smooth velocity plot for one participant\n",
    "\n",
    "fig, ax = plt.subplots(1)\n",
    "fig.set_figheight(8)\n",
    "fig.set_figwidth(12)\n",
    "ax.set_facecolor(\"white\")\n",
    "ax.plot(vels_group[1][5], lw=1, label='QoM', alpha=0.2)\n",
    "ax.plot(velenv[1][5], lw=1, label='Smoothed QoM', color='c')\n",
    "plt.tick_params(axis='both', which='major', labelsize=14)\n",
    "ax.legend(loc='upper right', fontsize=16)\n",
    "plt.xlabel('Time (s)', fontsize=16);\n",
    "plt.ylabel('Velocity (m/s)', fontsize=16);\n",
    "plt.title('Velocity (QoM) participant 1_5', fontsize=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 540
    },
    "colab_type": "code",
    "id": "GeLPU7Lezmrc",
    "outputId": "16b7074d-8ec8-48d2-ced3-0f1c37467f30"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Velocities from all participants in Group 1')"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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qkZNwc5eoHisYwREROZy4uDhcunQJ/fr1w5w5cyCXmz4AOzNwRM5CoecxERHp\ndeN8NNJTrltkXaXK1UatJkP1vl+lShV88cUXaN26NWbNmoXffvsN3bp1M2lbDOCInIQgfmMnBiIi\nhxMSEgJPT08AQJs2bXDu3DmT18UAjshZKBS6HhIRUSEKy5hZ2g8//IAGDRqga9euOHv2LGrXrm3y\numzaBi4xMREjR45Es2bN0KZNG8ydOxc5OTkAgP/++w9DhgxBo0aN8NZbb+HIkSOFrmvPnj144403\nEBISgrCwMDx+/NgWH4HIYTFmIyJybEOHDsW2bdswYMAAPH36FF26dDF5XTYL4KRSKUaOHAkvLy9s\n3rwZ//d//4cDBw4gMjISCoUCo0aNQunSpbF9+3b06NED4eHhuHv3rs51Xbp0CRMnTkRYWBi2bNmC\nZ8+e4csvv7TVRyFyTGoRHDNwRESOp0KFCli7di3WrVuHmTNnwt3d3eR12awK9dKlS0hMTMS2bdvg\n4+ODoKAgfP7555g7dy7atm2LW7duYcOGDfD19UXNmjVx/PhxbN++HWPGjNFa1/r16/Hmm2+iZ8+e\nAIDvvvsO7dq1w507d1CtWjVbfSQiB8YIjojImdksA1ejRg2sWLECPj4+qtckEgnS09MRGxuLunXr\nwtfXV/Ve06ZNcfHiRZ3rio2NRbNmzVTPK1eujICAAFy4cMF6H4DIgWl2WmAGjojIudksgPP390er\nVq1Uz+VyOdavX49WrVohOTkZFSpUECxftmxZPHjwQOe6Hj16pHP5hw8fWr7gRGKgEbCxFyoRkXOz\n20C+c+bMwbVr1zBu3Dg8f/5c1a1WycvLC7m5uTr/Njs7G15eXlrLS6VSq5WXyJExYCMici02D+AU\nCgVmz56NjRs3YsGCBahVqxaKFSumFaxJpVIUL15c5zqKFSumFawVtjyRs9MM3xjPERE5N5sGcHK5\nHJMmTcLmzZsRGRmJTp06AQAqVqyI5ORkwbIpKSkoX768zvVUrFgRKSkpBi9P5PQYwRERuRSbBnBz\n585FTEwMFi1ahDfffFP1ekhICK5fv46srCzVa+fOnUOjRo10rickJEQwenFSUhLu37+vd3kiZ6c5\n9ynDNyIi52azAO7ixYtYu3YtwsPDUb9+fSQnJ6v+NW/eHFWqVMHEiRNx48YNrFixArGxsXj//fcB\n5FePJicnQyaTAQA++ugj7N69G1u3bkVcXBwmTJiANm3a4OWXX7bVxyFyLFqdGOxTDCIisg2bBXD7\n9u0DACxYsAChoaGCfwqFAlFRUUhNTUXPnj2xa9cuLF68GIGBgQCACxcuIDQ0FElJSQCAxo0bY9as\nWVi6dCn69OmDkiVLYt68ebbC4D7gAAAgAElEQVT6KEQORyteYwRHROTUJAp2XyMSvVxpHuZ89bvq\n+Zhpb6BkKXbqISJyVnYbRoSILEfrNoy3ZURETo0BHJET0uzUQEREzoUBHJET0MzAKeT2KQcREdkG\nAzgip8A6VCIiV8IAjsgJaGXgGL8RETk1BnBEREREIsMAjsgJaI4GxAwcEZFzYwBH5AS0AzZGcERE\nzowBHJEzYAaOiMilMIAjcgJafVAZwREROTUGcETOgPEaEZFLYQBH5AS0M3B2KQYREdkIAzgiZ8CB\n4IiIXAoDOCInwAwcEZFrYQBH5Aw0E3D2KQUREdkIAzgiJ6DQiuAYwhEROTMGcETOgBk4IiKXwgCO\nyAloJdwYwREROTUGcEROQGsuVEZwREROjQEckRNSyO1dAiIisiYGcEROgJPZExG5FgZwRE6Bk9kT\nEbkSBnBEToABGxGRa2EAR+SEGNARETk3BnBETkCzFyrbwBEROTcGcEROiBk4IiLnxgCOyAloBmza\nGTkiInImDOCInIFWBGefYhARkW0wgCNyAmwBR0TkWhjAETkDrQiOIRwRkTNjAEfkBLTmQmX8RkTk\n1BjAETkB7SpURnBERM6MARyRM2AjOCIil8IAjsgJaGbcGL8RETk3BnBEzoAZOCIil8IAjsgJcCBf\nIiLXwgCOyCmwFyoRkSthAEfkBLQDNkZwRETOjAEckRNiBo6IyLl52GOjUqkUPXv2xKRJk9CqVSss\nWrQIixcv1lpOIpHg+vXrOtfRuXNn3L59W/Dazp07UadOHWsUmcihMWAjInItNg/gcnJyEBERgRs3\nbqheGzJkCPr06aN6np2djf79++Ptt9/WuQ6pVIq7d+9i06ZNqFq1qur1MmXKWK/gRA5Nsw0cIzoi\nImdm0wAuPj4eERERWhcXHx8f+Pj4qJ7PmzcPPj4+GDt2rM713Lx5ExKJBA0aNICnp6dVy0wkBozX\niIhci03bwJ0+fRotWrTAli1b9C5z7949rFu3DhMmTNAbnCUkJCAwMJDBG9ELnAuViMi12DQD17dv\n3yKXWbVqFerUqYO2bdvqXSY+Ph7u7u4YNmwYrl27hurVq2P8+PEICQmxZHGJxIPjwBERuRSH6oWa\nlZWFXbt2YfDgwYUul5CQgPT0dPTt2xcrVqxAUFAQBg0ahHv37tmopESOhaOIEBG5Frv0QtXnr7/+\ngkKhQKdOnQpdbsGCBcjJyYGvry8AYPr06Th//jx27tyJ0aNH26KoRERERHbjUAHc0aNH0a5dO3h5\neRW6nKenp6D9m0QiQY0aNfDo0SNrF5HIMWm1gWMKjojImTlUFWpsbCyaNWtW5HK9e/fGihUrVM/l\ncjni4uJQo0YNaxaPXIhcLq4ASFylJSIiczlMAJeXl4dbt26hVq1aWu/JZDIkJydDKpUCANq1a4fo\n6GgcOXIEN2/exPTp0/H06VP06tXL1sUmJ7Rp33X0nBCD+8nP7F0Uw2l1YrBPMYiIyDYcJoB78uQJ\n8vLy4Ofnp/VeUlISQkNDceHCBQBAWFgY+vXrh2nTpqF79+64desW1qxZg5IlS9q62OSENv4RB5lc\nge1/3ih6YQeh0MrBMYIjInJmdmsDFxcXJ3herlw5rdeUAgMDBe+5u7sjPDwc4eHhVi0jkVgxA0dE\n5NwcJgNH5GhEFQSxCpWIyKUwgCPSQy6iKEh7HDjxlJ2IiIzHAI5ID1ENxaGZgbNPKYiIyEYYwBHp\nIaYgSCvYFFPhiYjIaAzgiPRQyO1dAtNp90olIiJnwgCOSA9RB0EiLjoRERWNARyRHqJqAscaVCIi\nl8IAjkgPMfVC1QzZRNUBg4iIjMYAjkgPUQdBIi46EREVjQEckR5iit+0qlBFVHYiIjIeAzgiPUSd\ngWMKjojIqTGAI9JDTPGbZrApprITEZHxGMAR6cEgiIiIHBUDOCI9xDwOnLirf4mIqCgM4Ij0EFMM\nxE4MRESuhQEckR7izmKJuexERFQUBnBEesjl4gmC2ImBiMi1MIAj0kNUQZCYykpERGZjAEekh7g7\nMdi7BEREZE0M4Ij0EHUQJOrCExFRURjAEekhphhIqw2cncpBRES2wQCOSA+5mCI4DeLuQUtEREVh\nAEfkjBi/ERE5NQZwRHqIaxgRjef2KQYREdkIAzgip8CpGIiIXAkDOCI9xNQGjhk4IiLXwgDOhdz+\neT3u/brT3sUQDzFHQWIuOxERFcnD3gUg28hNz8B/v+wAAAT27G7n0oiDmDJwmkRcdCIiMgAzcC4i\n9fRpexdBdG7cfWLvIhhMqwqVERwRkVNjAOciniXcVD1WyGR2LIlji/032d5FMA0DNiIil8IAzgXJ\n8/LsXQSH9euReHsXwSSa4RszcEREzo0BnAtS5DKA08dNIlE9rlLOx44lMRLjNSIil8IAzkVIJAW7\nWp4rtWNJxEMmooF8NTEBR0Tk3BjAuQjvl19SPZZLc+1YEvEQUy9UhXYlql3KQUREtsEAzkV4+fur\nHuemp9uxJI5Nve2YmKbS4kQMRESuhQGcq1C7ouc9e2bHgji283GPVI/FFMCJp6RERGQJDOBchEIt\nGPHw9rZjSRxbraqlVY9F3QZOxGUnIqKiMYBzFQq52kN5IQu6ttK+xVWPxZSB06wzFVHJiYjIBAzg\nXIXaFZ0D+eqnNoqIyDoxFPUCERE5E7sEcFKpFF27dsXx48dVry1fvhzBwcGCf998843edZw8eRLd\nunVDSEgIBgwYgDt37tii6KKlUM/AMYAziKiqUDU7MTCCIyIH9+x5Ln7a9Q9u3X9q76KIks0DuJyc\nHIwdOxY3btwQvH7jxg0MGDAAx44dU/37/PPPda4jKSkJYWFhePfdd/HLL7+gXLlyGDVqFOSsGtRP\nLZvEAE6/R2lZqsdiqkLVShaKp+hE5KLW/nYV/zt6E+ELDtu7KKJk0wAuPj4eH3zwARITE7XeS0hI\nQN26dVG+fHnVP19fX53r2bp1K2rXro1PPvkENWvWxLfffoukpCScPHnS2h9BtNQbtbMNnH53HmSo\nHospgNMk3pITkau4+zCj6IVIL5sGcKdPn0aLFi2wZcsWwetyuRy3bt1C9erVDVpPbGwsmjVrpnpe\nokQJ1KtXDxcuXLBoeZ0KM3AGaVGvkuqxuOYT5UBwRCQu6ZmcFcgcHrbcWN++fXW+/t9//+H58+fY\nunUrxo4di+LFi6NXr14YMmQI3Ny0Y8zk5GRUqFBB8FrZsmXx8OFDq5TbKTCAM0hA+YKsr1yRn4Vz\nc5MU8heOQTNeY/xGRI6OGTjz2DSA0ychIQEAULFiRSxbtgxXr15VdWAYNmyY1vLPnz+Hl5eX4DUv\nLy9IpYzm9RF2YmAVqj6a1aYykQRwmhjAERE5N6MCuLy8PKSlpcHNzQ3+/v6QSCxzYWvXrh1OnjyJ\nMmXKAACCg4ORlpaGDRs26AzgihUrphWsSaVSlC5dWmtZekG9DZwsz44FcWyaQ4eIZSgR7epecZSb\niIhMU2QAl5SUhM2bN+Ovv/5CXFycqqenm5sb6tSpg3bt2qFXr16oXLmyWQVRBm9KQUFBePTokc5l\nK1asiOTkZMFrKSkpqFWrllllcGYcRsQwmhk4sXZkEEncSUQurGpFX9x9yKkdTaU3gEtNTcX8+fPx\n559/olWrVvjoo49Qs2ZNlC5dGnK5HGlpaYiLi8P58+fx7rvvomPHjhg/fjzKli1rdCHWrl2L7du3\nIyYmRvXa1atX9XZqCAkJwdmzZ1XPnz9/jqtXryIsLMzobbsMwUC+rELVRzNgE1dHBiIiMRFf8xRH\nojeAGzJkCAYOHIiZM2fC09NT5zKvvvoq+vXrh6ysLOzcuRODBw/G//73P6ML8frrr2PBggVYsGAB\nevfujUuXLuGnn37CjBkzAAAymQypqanw8/ODl5cXevXqhejoaCxduhRvvPEGoqKiUKVKFbRs2dLo\nbbsMZuAMItOsQhVJBk67E4M4yk1ErkuEzYsdit5hRLZu3YqePXvqDd7UeXt7o2/fvti+fbtJhahR\nowaWL1+O48eP491338UPP/yAcePGoVu3bgDyq3FDQ0NVw4QEBgZi0aJF2LVrF3r16oWUlBRERUXp\n7LFK+QQXdDkDOH10dWIQB7GUk4gon6Xa0bsqvRk4zV6ez549g6enJ4oVK4Z///0XR48eRb169QRZ\nL82/KUxcXJzgecuWLfHLL7/oXDYwMFBr+bZt26Jt27YGb8/lCToxsApVH602cCLNZDEDR0Tk3AxK\nWR0+fBivv/46zp07h7t376Jfv37Ytm0bwsLCsHnzZmuXkSxA/YKu3qGBhDQzbmKtQmVCjogcHRNw\n5jEogIuMjMSIESPQsmVLbN++HeXKlcPevXvxf//3f4iOjrZ2GckSBFWovLrrozWMiEhjXe5hMocs\nOxvZD3WPAkBkKaxCNY9BAdytW7fw3nvvQSKR4M8//0SnTp0gkUhQp04dvUN9OLPcjAzc3bodOY8f\n27sohlPvxMDqNb3EWoXKDBxZ0vlPP8e54WF4/t99exeFnBjjN/MYFMBVqFAB169fx/Xr13Hjxg20\na9cOAHDs2DEEBARYs3wOKWHJMiRu2ISr02fZuygGU5/MXrRpJRsQ7ThwCg5/QpYjTUkBADy9ctXO\nJSFnxvjNPAbNxDB48GB89tlncHNzQ6NGjdC0aVNERUUhKioKc+fOtXYZHU5G3L8AgKzEu3YuiTHU\n28Dx4q6PWGdiILIGCcd5ICtiFap5DArg+vXrh8aNG+P+/fsIDQ0FALRq1QodOnRA7dq1rVpARyRx\nF99wJczAGUasGTitGlQGnmQJvMA6PWmuDEkpmXipUkmbB1Q8vMyjN4Dr0KEDWrZsqfpXt25d1K1b\nV/V+o0aNbFJARyRNe2LvIhhPwQycITRjW9Fk4F4UUyLJ39ViKTY5OB5HTu+LyMO4+/AZJn3cDC0b\nVLHptiWsRDWL3lTS5s2b0axZMxw7dgy9evVCt27d8O233+LQoUPIzMy0ZRkdjiJPfJPBK9QjE2bg\n9JJpfDfiycDll1M5mDWDdLIEBc8VTk85F+mqmCu23zjjN7PozcBVqFAB3bt3R/fu3QEACQkJOHny\nJLZv346vvvoKL7/8sio717x5c5sVmEwkZy9UQ4i1ClWZKXFzl0AmE1G5yaFx2j3X8VLFUjbfphvr\nUM1iUBs4AAgKCkJQUBD69esHuVyOy5cv4/jx44iKimIAJwLMwBlGM7YVTRXqC8o2LAoGcGQJnHbP\nZXh6iq9tt6szOIBLT09HYmIipFKp6rXmzZszeBMJ9QCO1SL6aQ/kK45ASFlKtxe9BkUWd5KD4rR7\nZE1MwJnHoABuw4YNmDt3LnJzc7Xek0gkuHbtmsULZg1nrj5Ao1cqwNPDBe801IM2Xt21/HP+HgAR\nz8SgULaByz8jiiXwJMfGKlSyJnc3F7wWW5BBAdySJUswbNgwDB48GMWLF7d2maxmZvQpfP5hY3Rq\n/pK9i2Jz6iditoETUigU2LHhAgBAXr204D2xVKFqZ+DEUW5ybAzgyJqYgTOPQeGvRCJBt27dUKpU\nKXh5eWn9E5P0TGnRCzkhtoErhFqso9l27PglcU0lJGEGjiyIzS1ciB1OGZfiU2y/USdiUAAXFhaG\nBQsW4P59cV3MdLFoZkJE6V8Fe6EaRDPwOXf9oZ1KYiRlL1Rm4MiC5Dk59i4CuQies4xnUBVqUFAQ\nfvzxR3Ts2FHn+2JpAwdYtkqsRIBtBz00CzNweqkfEZrHR7fXg2xbGBMpNAM4ZuDIAu5t/xXVBvSz\ndzHIBuxdnalQ2L8MYmNQADd16lS89tpr6NGjh6jbwAGWbb8vpnnchL1QeXEXUDsolAFc5XI+SErJ\nhE8JT3uVykganRi4i4nICPYek02uUMDNiJF9s6V5uJzwGCG1ysHTw92KJXNcBgVwjx8/xvjx41G1\nalVrl8fqLJqmFVMApz4cgIIZOH2UVage7uKa0YAZOCIyi90zcMads5Zsj8Xhc/fQNbQ6RvRoaKVS\nOTaDGnH16tULv/zyi7XLYhMWva6JKYBjGzi91L8N5Vfj4S7OzgDsxEBEprB1Bk7zOiQz8px1+Fz+\n0E8HzyRarExiY1AGLi0tDVu2bMH27dsRGBgId3dhunLDhg1WKZw1WDJ4kUjE04lB2AaOF3cBta9D\nmps/bIK7yDJwSsqTsNjKTUT2Zet8hNasNyZfl8STSLE0gwK46tWrY8SIEdYui01YdFwvER03nIlB\nP4VaBJf0OAsA4CGytmTKgM3N3fIBXNqDWNxP+ANBjT5GcZ/yFlsvOb7SjRvZuwhkI9dvp9l0e5rn\nKFNPWSKqCLM4gwK40aNHW7scNmPRxISIMnCCATnZBq5Iygyc2KoiJW6WL/fNS+sBAInXd+CVpsMt\ntl5HkpqejW0H/sWAt+vAu7hYOq4QmefKzceqx0mPM226bc0zlKnJFReO3/S3gevbty+OHz9u8IqO\nHDmCPn36WKRQ1mTRKlQ38Rw6rtQL9VmWFNk5eYb/gY6vw8MKmSxrskUnBnmec44Jlvk8F4Nm7MPu\nv2/hw8l77F0cuxMc8yI5/sk0yU+e223bmudWk286XTgFpzcDN2vWLMyePRszZsxAx44d0bp1awQF\nBaFMmTKQyWR48uQJ4uLicPbsWfz+++8ICAjA7NmzbVl2k1g2oyKiA8dF5kJNS8/GwBn7AAAxC94z\n6G90fRvKOfrEFutaczJ7sQSzxtp/+o69i+BY1PYzm1s4OTv+prXawJlYFk938dSEWZreAC4oKAir\nV6/G+fPnsXnzZowbNw5PnjwRLOPv74/Q0FDMnz8fTZs2tXphLcGiTeDEmoFz4irU7YduGP03Uh3Z\nOnfR9ULNL6dybEKrzOHqpMdNMU/XHENK06X4ZBw+dw+fdKureo0BnHPLybXfXLdaVaiiOdc6jiLb\nwDVp0gRNmjQBAPz33394/Pgx3NzcUK5cOVSqVMnqBbQ0y17YRBrAyZz3pJwjLTghKRQKkwdb5jhw\nurbhnMdN8WIFp0EPF76bn7w0v8lMuZJeqKZ80UEDuNw8OX7a+Q/6vBkM/1LiHlzenrKyjWhqYmGa\n5yhDD7XktOcoV7pgnyvsMYmrgzCoE4NSQEAAAgICrFUWmzD3eiy4oIsnftPoxOC8B7z6HaWhU7PI\nZQXfhwT5d4buIuuFqqTqhWqVgovsyzBQca+CDFyeE9/cGOrps2zVY0e92es5IQYA8PuJ2wY3lSBt\nlcv52G3bmmcTQ26Wfz9+C1G/XML7HWup/Z2FCyYiLne7aXZGRdCWzLxV2ZTcNWZiqBlYWvXY0Gyr\nTMdFykOkvVDdrFmF6qSNhV0566aLu9p+ZhWqc7Pnsa/VicGAc9aa364CALYdLGgqI5ZaEmtwuTOX\nuRc29UyWmKqUXKUXapmSxVSPDf1h6wrS3EXaC1V17bVKsZ0zgCMhNzf1Tgz2ayNF1mfPjLMpA/nq\nqvIVySnaKlwugDP3wia4IxXR3anCRXqhqk/HYujULHIdJ7GCXqgi+a5elFPiZs3A0zkDuBQ7DqXg\niAQXBRHc7InlJssRGTt9lSVZahw4V977BgVwYWFh2LNnD7Kzs4te2MFZNgNn/UMnT5aHXFmu2esR\nlNtBA89bN1Lw89ITeJKaZfI61KtDDd09uk5iqrlQRXJxUJbSmsOIOGf4JuzEQBpVqA5ay1AjwE/1\nOC3DOccntAXN5iO2DIYtNQ6cKwfwBgVwNWvWRGRkJFq2bImIiAgcOnQIeXn2671iDrM7Mdh4TtGR\nMV9hyM7xkJt7IhXBVFrrlp3A7fgU7N4Wa/I68tQ6JBh6QlDvxKBU0AvV5KLYlqoK1YoZOCdtA+cu\nouGArOXw+Xuqx+7qX4eDnivUD0UOA2O6PJllgihTaJ6iDDllNQmuoGM9YjlJW55BAVxERAT279+P\ntWvXokKFCpg1axZat26Nr7/+GqdOnbJ2GS3K/Ayc7cZTkyvkSM95hpy8HOTKzAuYxVSF+jzL9Iyj\nejbN0B929nPt7Yl1Ki1rZuCcNQcnsl1sFalPC6qR1dtFOWp7WfXfpT1nExA7zQycLWscTOnEoHs9\nliiNOBnVBq5hw4aYMGECdu7ciY8++gi7du3CoEGD0KZNG/z444/IyjK96stWzM7A2XA4jjy1BsR5\ncssFcI6agVMyJ9GjflIwtH2Hh0fBz0C5afFVoQoH8nXlu1JjGRqk372VitsJKVYujX1Ur1JQJfk0\nQ62pjINWoWarjffo5el6TbktRfMcact4XfMUZcj5Wtd5zZXPdAYf+RkZGdixYweGDx+O1q1bY//+\n/RgxYgT27duHBQsW4K+//kJYWJg1y2oRlhxGxOqBkFpZLVmF6vi3LKZHcOoBl8EfU8fmrJvJsgJl\nFaoVOzEYOyhyzuNUXJ05G+nXrlu8LJZkaAC3evHf+DnqBPLsOHq9tZTy8Sp47O2peuyoN3vPsqSq\nxx5uDODW/X4N5+MeGf13Whk4W1ahaoRepp6zHDVLbAsGtd4dPnw4Tpw4gXLlyuHtt9/G2LFjUbt2\nbdX71apVw9ChQzFp0iSrFdRSzK5CldsuAyeHejBiwapfBz0pq5iVgSt4bPC+1rGY2MaBU5ZSGWM5\nQuB5duhwQKFA2rkLaL3rF3sXRy/139bLlUsVuXz281z4Olm7K/XjpUp5H91vOJDnatPfiSVLbi3H\nL93H1gP/AjB8/melPK3ZEOzXBs6Qbetawl57P+vefyhesQLcPD2LXthKDArgqlSpgtWrV+PVV1/V\nu0yzZs2wY8cOixXMWixZhWrtyF9hwQycLQNPc+VKTc9wyE1oA6drKXerDsdhBS/K6WbNchtbty2S\n7049ANA3Mr36bz0vz8FvgEwgF975qB466s1e09oVcerKAwCiOczM8izhJrz8y8CrTBmt93YeSTB5\nvQ7VBs6QQ01H8eyx/9POncfVmd+gZPAraPjdHNsX4AWDcs83b97EK6+8ovV6amoqevbsCQAoW7Ys\nqlWrZtnSWYHZGbg89UDIuic3QQBn5n2GmNrAqbdJM5Z6A2yDxzjScUyIdSotFQfoxOD9suOfDwDD\ngn7184ZTBnB6gjZHrZ5Sn0FANDdZJsr49wZix47H1Znf6Hz/2u1Uk9dtz16omgy5Nuua99Qe+z/p\n970AgIy4f22+bXV6M3BHjhzBxYsXAQBnzpxBVFQUSpQoIVgmMTER//33n3VLaGHmxly27MQgR0Fh\nLdoGzkFPykqeXqZXT6mfkMyoQVW19xJfFapE8Lwo/yamYcPe6xjeowECyvsWuqzEyADO2DZz9qK+\ni/UdM+rHgTO2gVO/eAqOeQftxKBeXnsORmsLGXFxAIDMm7csvm7tTgy2+y418wim90K1/f73LFnS\n5tvURW8AV6NGDURHR0OhUEChUODixYvwVKvrlUgk8Pb2xrx582xSUEsxd2fL1ca/s2UVqkXbwDno\nSdkS1DNw5gRfVq2KtAZlJwZVIzjD/ixi4VEAwPz1Z/HDmHaq17Mzk3Hj/EoE1nrbjEKJJIBTO070\nXUTUf+uJt1JRSW0gWWcgzEI6frZeJrPcudHRZT94aLV1O1InBpMH8rVEYYzlIB1n9AZwVatWxc8/\n/wwA+OqrrzB58mT4+hZ+h24oqVSKnj17YtKkSWjVqhUA4MqVK5g7dy4uX76MMmXK4MMPP8Qnn3wC\nNz1fVOfOnXH79m3Bazt37kSdOnUK3bYlZ2KwaRWq2W3gxDMFmDm7SL16y+ATu47FlHGQWBpIK4tp\nauCZcO+p4Pn1Uz9ClpeNm5fWF7wokoyasYQ3SrqXUb+47N1xGc1Dq1u7WDYl6L2tfiF10OyWSb3N\nRcq9ePFC329WtyLOXDUtyNOcC9WWlwbtgXxNzcBZoDBGkkhMC+AUCjlkednw8PS2SDn0BnB3795F\nYGAgJBIJRo0ahbS0NKSlpelctmrVqgZvMCcnBxEREbhx44bqtSdPnuCTTz7BW2+9hZkzZ+L27duY\nOHEivL29MWDAAK11SKVS3L17F5s2bRJsu4yOBp6azO/EYLsMnEV7ocpNCGxEKE9ufBs49TtBZYji\nJrIqVBXjEnB6yfJ0TZtnZAAnkhkOBNWH+trAie04MJJCcH/n+J0YDMmaOgt3H90da5QqlS38/cLk\niqwTg7HNOKzGxHPb+f0TAAD1QyeimHdZs4uhN4B744038Pfff6Ns2bJ44403IJFIdF74JRIJrl27\nZtDG4uPjERERobWeI0eOwMPDA5MnT4abmxuqV6+OwYMHIyYmRmcAd/PmTUgkEjRo0EBQrWsIy3Zi\nsGEvVHMvySJqA2dOosdSGTjRjQOnGshX+dTyBTd+tzjIybYIwoCl6ACuWeuXrV0km5OpHy/q0ZyD\n/gAEAZyDn8/MVVRbUi8PYYcOY9qePs8WDhCfnpkDuVyhtze2NRlybXZzkJtCc9v3Xj42F03fnG92\nOfQGcAcPHoS/v7/qsSWcPn0aLVq0wJgxY9CoUSPV682bN8f3338vqC6VSCRIT0/XuZ6EhAQEBgYa\nHbwBlmhLpj6ZvTirUAVDijggc34cpnRiyNXRKF3VicFBL2CalMU0thOD0mv1KxW9kBNWoUpzZfj7\n0n3Vc327WyFoIyaOY8IYgmpkEWTghFPm2bEgNiDxKLxTl6fa+3K5Au7uhv9O959OFDwf+0N+m9i1\n0zrDv1ThVbfm0jy3GhKIq5+CJBI77nsLtIGTy/Pg5mbQSG76i6HvjYCAANXFICAgABcuXMD169cR\nEBCAgIAALF68GP/88w8CAgIM3ljfvn0xadIkrd6slStXFowxl52dja1bt6rax2mKj4+Hu7s7hg0b\nhtatW6N///6IjTVsAnSzq1DVOjFYO5Ol3gvVkoGno5/xzIkTDpy+o3psaPB1eG+c1mvKGz1z7+5z\n0zNwftRn+G/HLrPWYyhVAGdkuQ27s7V+AKdQKHDjbhqyc8ybOs5Q36w5jX8Tn6ie669CtUznGEel\nfxgRxwzgDKn2Nkdy2tXl0m0AACAASURBVHPceaA7gWB7hf/u1AM2zSrRwhTWxOROkg0+u8bmZQYc\na+p/Ys/LmMQSAZxMWvRCRTCoFMuXL8fMmTPx/HnBpMGVK1fG119/reroYCkymQzjx4/H8+fP9U7N\nlZCQgPT0dPTt2xcrVqxAUFAQBg0ahHv37hW5fkt2YrD2nbj1MnCOfQEyJwMnaH9t4OdM0mjADxS0\ngTN3Fz/4fS+e/3cft9dY9neiSXmsmPrdGdS2xAYJuJOXkzD2h6OYtPRv628MwPnrwumH9HdiUH/s\n2L8fUwirJFmFOmT2Hxg9/xCePc+1+LqNV3j2V/0nn2vEGIXSQobDscVe17wWG9Jm2WF+eyZ2YrA0\ng0qxadMmREZGomvXrqrXwsPDMX/+fKxZs8ZihZFKpRgzZgyOHTuGpUuXonz58jqXW7BgAfbu3YsO\nHTqgXr16mD59OqpWrYqdO3cWuQ2zp0K100C+oprD1UGYE6xbqgpVlq2rM4D1WHUqLXOz1wYU6u/Y\nJADAjbtPiljSOlw2AydIbag9dNBzhUzQKct623nwONN6KzdQUSMIqN98FRaUaSo0gLNB4K65CZms\n6G2aU65nWVKLfS6Ju4gCuPT0dFSqpN1GJjAwEKmppo8CrS47OxthYWH4+++/sXLlSoSEhOhd1tPT\nUzCkiUQiQY0aNfDoUdGT+ZrfiaHgjszq48CpnUktOoyIg48DZ6kBYM0bB+7FOsw8XooaAsDSrNtM\nzdjvomD5/3bF4HT/j/H8/v1Clrc9P18vwXN9x4z6b11uwIVGbITDcogsA2fNMjrAx1cfw1N9HFJd\ncowI4Apb1h673aAqVD3lKip7dyHuET6a+juW/nrJlKJpscg1ygJfskEBXLNmzbBw4UJkZhbcjWRm\nZmLJkiVo2rSp2YUAgHHjxuHSpUtYvXp1kevs3bs3VqxYoXoul8sRFxeHGjVqFLkdc4MuzbZkGakJ\nuPL3fDx7ckf/H5m6LQu287BHG7j7Kc9w9prx4xOZk51Wn03AlI+pOYyIg8e6KqpODBYagNjNvZiO\nbZj+ZdxetQZ5z57hzrqNhS5nTANsSyjrJ2yPq3cqLQOq7C6du4crF8Q1M42SvunEHDUDJ+xU7wBR\nljUVUaWtfqOfY8A80gqFAjdXRCP16FHVawHlfbSWsTatKlQDboz07eteE2KwKuaK3r/75VD+sGW/\nH79teAELY4EAzhLfsUFdIKZOnYqhQ4ciNDRUNd9pYmIiKleujKioKLMLsWfPHuzfvx/z589H5cqV\nkZycDABwd3eHv78/ZDIZUlNT4efnBy8vL7Rr1w7R0dEIDg5G1apVsWbNGjx9+hS9evUqclvmfmXq\nw4go5HLcOPcTFAoZ7t/4Ha80G2nm2oXkVsrA2eqkPGJOfu/lyDFtUTOwtMF/Z87dTYliBT2yzJli\nx2K9UG3Wc1PYBs7cYrt7loBclqOxCWNXqv3Z5bmO0KaogObuEY6mIUdC1HL4vlILqN9MbRnt70Em\nk2PnxgsAgHqNDe/Y5SgEn0n9QuqgAZxMz7iWf55NRHpmLrq3DbLIdnTNvWmMzOe5WPrLJQx4uw4q\n+ps2eKug3bWO/aG+67Jzig7g0i9fQdJve/Kf1ByIymV9UKK4cEQHm8TEGtvIM+B8XVgGbsfheAzp\nVk/n+5pzvprLEp0YLJHeNSiACwwMRExMDE6cOIH4+Hh4enqiWrVqeP311/XOlGCMvXvzJ4YdP368\n4PWKFSvi6NGjSEpKQseOHfHzzz+jRYsWCAsLg1wux7Rp05CamoqQkBCsWbMGJQ2Yn8z83pxqKWyF\nAgpF/g8mM8Pyd96CO2ELjgNn604M9x5mGBfAmbEtS11v3NwsFMDZKjugzMAVDARn1uo8PEogF8J2\naAoY++XqKIODZUs0jzX1/f300j94uP8AHu4/gOqLC3rJa04/BGi3VxXLPLBKhVVJOuLnkaqP96i2\nOyI35QfRHV6tilI+Xpp/ZjRzD9c+U/IDpSMX7iFmwXumlUG99kTHuVv9fJ4tLbr3dlaicOgQnd+T\nDXa31jAiBvSgNbVZzJWbj036O300EyKmBXQ2CuAAqMZcc3Nzg1QqRV5eHvLy8uDlZdqPJC6uYOiG\nH3/8sdBlAwMDBcu7u7sjPDwc4eHhRm/Xsp0YClamnFpDIZMh7cJFlKpdGx6+5g2GqFAo8rchkZiV\ngdO6a7N1vaCRJ3/zeqEaX+2sazyhgl6o5h0wzxISilzm+KX7yMiSovNrL5u1LcC4TgyFfTZ3zxLa\nL1og+Coq++tdrOCUZIvAQXP96t9JbsYzna8Xdd598ZMVFcH89Zr7WS4H3Asfi8zWctQCFeXvXD3j\nbkh7Kl1O/HMfF/5N1lq3PRVVe6K+7wwJ4J5evip47uXprjWllj0OX4N6oTrA/gA025SbViabVaHe\nv38fYWFhSExMRPXq1SGTyXDnzh1UqlQJa9euRcWKFc0uiK1YdBgR9WmbcrMAAEl7fsetlavhExSE\nRt9/Z9a28jIz8fmm/JOJor3p5RbcwcEx27WoH8z/mjivH6DZGNv478wLQC7U5kI1M1tZrJzuntTq\n5qw9AwB4rX5l+Plqtz0zhLKUkkICz6dXriBx/SYEfRoG78AAPFcba00zw+vuoR3AWaRdTBHHnpdn\nQaCQJ1PA08PaAZzwuWAYGmlBFbKisAAH0Oi5qRDNNGJKhU2fpZDLIXGwAO55jvpwTvn/qwchbiZG\n0N+uOSN4fulGCmpX8zdpXZZS1Pzb6sdjtlSG7IcP8fTyFVRo11bnfnt8/ITguZenm10CI81NGlLN\nqRlo2ot6xxLTfx826sQwc+ZMVKhQAYcPH8avv/6KXbt24dChQ6hatSq++eYbswthSxYdyFfHylLP\nnAMAZBqQeSnK4xXrVI/N+YFpBWwOOAyC5sfLyTatrZTwQmTgttUel3rxv6Wm0vIs7WfwssaM4aRF\nVYUqfK7u8qSvkX71Gv5dEAkA+DexYG5jzQbE7u46MusWyNwWdfPgqTYtUG6e9WcM0Rz/TlAVqn6S\nFjRn0Kb+mqNkCYxR2I2PI97wqfegVGXg1HtrWmgfZJl4HrKkojNwagFcTh7OjfgU8T8uwaNDhw1Y\nuQJenu5aAa8tqsy1x4ETzmN9Pu6RYBy+vy7+hwQdY3bahSXalNuqF+qpU6fw5Zdfws+v4GJUpkwZ\njBs3Dn//bZsBNy3F3IxKUQP5WutO1axODJp31La+wBiwPc12eXkmBjMm9dxVW0xrMnszv6ui2kao\nlzflyXO9y52++gAJ9/SPjaY5kG9hpc59kn8SLF+moFG1ZvWFZzHt9qSWOGqKOtmp32E/t8VsDIV0\nYhCm1dSXKbxtnxiHGRF8Js1zpIMFpAqFQmebvVzBPMiW2Vatl8pYZkVm0Mz2aL0vqEKVqV54lnCz\nyHVLoICXh7t9qvw19pH6OWj+urOYtuIEPnrRhhAAvlt31lYlK5L6dJQKI7KCbmo3xpY4RA0K4Pz8\n/PDkifbF48mTJybNR2pPZgdwgqm01HbcizZwlrxz8e4YWrCpPNPvBLUzcLa9ozYkCNJaxsTdZG7T\nhAovruiWqkItas489YDFu7juFg0PHmdiVvQpfBF5pMjNqY6/Qoqt7IijftHWrJrQ3WnGAhk4WeFZ\nNfWTuKV7jhlCeBwW/JZ1tYHbufECdm+LffE+dC8rEoV2YnCwjL3mb1JZPvVj2FKDLR/QmCvUWG80\nf8n8QsiL6MSgUYVqDDcoIHGzzyTxmucY9VoA9fmJHZGp46oKzyM2ysB17doVU6ZMwbFjx5Ceno70\n9HT89ddf+PrrrwWzM4iBzJLjqQne0KzDMp9C7UeVF3fL9PVoZeBsHMAZ0j1c86Rs4rZkpmTg1Hi+\nuGgrT2jnrhc9OHRhisrAqWcN9AX/aek5Ol/Xvb38/wsLInKf5s9z+Cyr4KZAax8VkWUyVVEBnHo5\njBlV3lRJKcKR9tW/N4na70+hsYxMJselc/dw/mSi1rErxpka5PJCLiwOVoWq+fUqn09YfKzgNQvt\ng2Z1zWvf7WGBEfuLGkZE0IlBLWutrzaoyrsF12yJQgE3iUQrgLNFRk7zMFNWoTrOHLT6FZUVLeQv\n9Tw2jUGdGMLDw5GSkoLhw4erTnDu7u7o06eP1tAfjs7sDJzenaUM4MxavXCN6j9cM3a28mCTeHjk\nZxBtfIHRl2GWy+SQuEkgkUi0Aw4L9OwxNRPi9qJMStnSPBT3MrjDtpBEmMXRDNLSMwsmNNbXQNeQ\nHuoF9w9FV6EqLdp2Ue+2dQX5xn+f2j+GoqobZDYO4ALK+yI9s2A2GeHPW3cGTqGA4AvOy5MJDldR\nBnDq8ZsBN3xPLsbixsLFqDUmHKUbNrB28QR0DXMCAA9Ts/QuY6oSxUz83b+gHhjJ5QqTMl1FZXuE\nGbiiA7inV64VlA8KSCSmd/owh+b5RJmBu5xg2SE/rEKQFTUigLPk0GAwMIDz8vLC3LlzMWnSJNy+\nfRvFihXDSy+9hBIldAw14OAsH8BJILxcWuaHcPT2KWSk3oVy9DSFqQEEoDrAlAGcsRfigwnHEOhX\nGcHlTBscMz1TO4Mkl8kx+8vfAABT5nfVitdMPf8KR5Q3bR0/TeqE/x4VDCGR+TzX9ABO/QeblweJ\nRpMD9fXq68Rg2En/RRs4HdvVJ/FBhuqxZicG3Vla475QnR155MZk4Kyf+dG8QMv1ZOCEbeCEJ1+Z\nTCHIWBgynpWjKbT3to4L1JVpMwEAV6fPQqtft1q1bJo0z+G6gjVLBXCGzA5QGPVy5MrkKOZmfBvp\norI9gk4MalWo+jL6uU8LOgKoMnBaw+kYXUyjaWfg8l+wRNbS2kwdGF+heSIxk95v6sSJE1r/rly5\ngszMTKSmpuLixYuq18XE7B+25s4qbCh3Ez3IeITFp9bg6M3jBZs1Y8Bk5QHm5vHiYmXEARf/+DaW\nn92AqQf/z+Tt/37ittZrz54VBHUnj9zU7vmmI1hISL2DqQfm42aq/mnLLDFHYoUy3oK/NWdGB8EP\nXUf1ofp29GXg1D+GvrIol1H1ntW1UCHHUJ7WWIGFt7UxhE/16trrMKINnKFjeT1++hzjfzyK01cf\nGFU+QPszCZ+rZ+A0llHPuMnkos/ACafPKuw70fg7O1SvareBK3oZU5nz2weEx02uiRllo2ZiUMvA\n/bdjl87fW+lGDVWPJcivFdC+jFn/GNYK4F6c/9z13LDao52ePsJ9YsR3JfjQVszADR482KAVSCQS\nXLt2regFHYTFM3AaZ4/MW6a3VVN6mpOfGZEILhrmDOSbf7ApU+rGnHRTslKLXqgINapoD6Whfnd4\n/HA8GjWvKlxAx26afXghMnOf45sjixDdQ3dAaanG5Oq9YM06ZooI4ArrSKDrdZlMDncdd/GqXqjK\nk5yOIkvc3PTue83DS3d63/wTTlbi3ULfV/+uDc1+rNx1GdfvpGFW9CmjR7t317jbF+xq9QSc1g1G\nAZlc8f/sfXmYHVWd9lt17+0t6c6+khAIS4KgIMIgm6Aw6OcozoiiM8LMOOoo+DnjpyMoDrgxDCCi\nAiKOy7iyKwoihDUBQgIhG9n3dKeT7k7v+93qnO+PqlPnd5Za7u1OhAd/z5Mnt2s5derUWd7z/jbQ\nT2LL1DBWKZY8fP++tTj7LXNx1lvmjnv5KnNdQdihP4PDhhHB37rZGJ9nrdhwAO9++4Kq76ftWm2Y\nIJ7kxEAzMWiptNqfeBJz/s971OtJ/3QCFeoh4CESxXBiCBm4CKBWYaVYuYy+teswMH1+8sUVijKP\nVmkDd0gD+W7dunXMhb8W5dDZwPky8dhj0NM9dtADAC6dVBOYizihNnD+gcOxu5LPWHyUGQiTqpn+\n+n1vsjAhZpnDJT/MxmBx2DwZiKcwcKmrG1vOmBg48iKjIwU0TlCzcyhel2X7cyiAK3tMCXarixNj\nc+dkMqoXNRHTC9i2008/UXn5fFWbDj0WVBp5YX31HmsCbF35oZNx54PrIydVhUnVAYTHwEn8ukMR\nRuTxlXvx3Nr9eG7t/qpTMsWJ0tYGw/XaUgkbDNwhnM/G6sSkZPaoFsBVoEIdHCkq54pdpj0ZXUtc\nLhg4FTQdjliGUSrUDNEUuBGORGmk9cHfYd8998FpmgTMHN8xU40Tw6Hop6n1coVCAQ8//DBuv/12\n9PX1YeXKlWHS+deTjGcmBgBwM2rk/EyMXWC5NIqRgeScqWIRUxg4bwwxsYQKNecDuEomZI9XBxzp\nHGtjJOgk7LqOBbCZ30kPump/7vjscCj7M14M3KeuX4Kegbx2mk7w9ramwI6G1tj/+4ex/AOXoPP5\n5SHeUuZhrdpxHrGmYbilj6Rsz513/ggrP/IxjOw1Vd21M+MzU9Cuaah1I2RyY3XZKwD53rlg16+o\nQxS1KJ2wudIWOlPYvn/8g40ODh/agLJqGLhkMP/nFNMGzrzmtRLKhbZlscrA1N3LpSmN3bRB/t6x\nTw33VR4ZQcvd9yJ/UAJRupYIBi6uzEMl+jcSG9UMYeCmT6qruk777rnPv2/gEAT/rcoGTh9XY2/k\nVACuubkZ7373u3HbbbfhRz/6EQYHB3Hvvffife97HzZu3DjmShxOGbNtRMLHYqXoiXbzi7dgy8rv\nYbgvPraQAE0uXUvGEJVedLDQK4nz1BNctTkF6YJnC8hq2AylYOBsRrk9XcMo0pRQii1PurpOnW7m\nrFWM1MeJgctwhlVamrA0tnY6Aydk7//+AgCw/ZZbw/pSexb9G+teaRedIVVD6byA07VDx5InIs8l\ne6Gq6uI0csFp1atIdMNpx+PYsaUDnHMVxNIdN7T+q9nAPXT32qrrEyWHGpAoG5/XOgOnM6A2teLh\nqkyCjIcKlUoSA6dL+58ex777HsCma78uy6ApxziLcGI4/Ayc7TtWm1oQAOrm2k0NxuPdqooDZzz3\nMAG466+/HhdeeCGefPLJMHDvrbfeine/+9244YYbxlyJwynjr0JVy+teHu3UUSr48W0GenbGPiNk\n4Kg6kAap9EoojKR3tQ7r7LqVZTsH4CV4DUbfJ8tft8NkaukgKhY9tB8YiDwvRM9G0d05hDv++xnc\nceMz8ppxcGLQZSw2TYq6AtwAxGkcFKIAnJDMhAalHGEHNzBcVMCzo9l7ZbQQB0q9LEF7x2fiS/BC\nrcJ5ZCwAW7Bn2UAFetRQCff85GW8snyv8nEUBs6m+jmMAOuQlB8TB+61FshX/95JuWn/nKI4MaQA\ncDZTGeq5nuTEECX5drlxtDJwrwEbODG3Uc/wsYQ3yR+wm1aMh4ML/U6dPcPYcyCZ5dPfdzzCiKQC\ncGvXrsXHPvYxhQFxXRef/OQnX1cODMA4qFANJ4aYayPt1hJYCBsDRwbd1pduw8YXbsTwQGtsOfJx\nhIETccJS7qqrVqGSQWLLX0cXhcd+twF3//gl9XyKz9S618/lOUQC3arrULpvbbsuDbBKWXj407Xs\n1BTAGfEcmg/QBuDcbC58jkN20//0jSW49JpHw+tEAN/weRSgGARc9QxcnCQycEQdmTYTw++XVZ93\neGjUtxnSQxc89tBGpY8q9eZc7R9ldsjxwljDWSSJ2hcMauSQPrtSiVKh0kwmrxH8VtF6s+3bt+LF\nD16K5t/coxxvOmExKTB+YzV9cnJoL8WJIbCB04HSYbGB015FzLP0yWMNvG+T4XwZP3hwPTbs6qq6\nDLp+fu2uF/Fv31lq2B+aN/2ZVKgNDQ1We7ft27ejqanJcsdrV8bsFp6wAE1/B0l/FalOjW92wXqp\nNnBEJTnkh0vo70wHngWQdFwXYhNYTqmSLY8DA1dXY/OajL8/Dfiic86OLR3GfeNFHIxlx0YHusuZ\nYcWneF1GPOehpZKxtS7kjrQhdFwtflmMxILHcQnka31o/GnFtiwdcFi0oPp8lfs6/Hh/eh7aE0+Z\nq9Q1joHzTQDUY+PNWj2zOt57d6zCosAqIuwhA5mw0AwVc6glKpAvBfyV9FXOOT51w5P4/r3jr/qu\nRCPQ9YKfV7z1/gfV+lWQzP6iFKm7dK2A45jRSysd64OFIbT2t1V0T5QqfDyCscfJ75ftxOMr9uKa\nO6vP407b0AkGf99g+ow5QSlVP19IKgD30Y9+FNdddx2eeuopAMCuXbtw//3347rrrsOHPvShMVfi\ncMr428DRzsaUyY8V7Yg8Kb1Smfls24m75KJiUz0N9qRjHsJB77jgAeoZGk7YLQRCVahdw+m9aynQ\nOHXxTON80mRm+04TahrUAwTB3fOTlwFUN/iTLhsvBi4DZvjrpwEs55x8RPi7dzBvvSYMIwJpK+ho\n5+pmq2mB4hw+DhkDlwDgqvH+XbxAejlXO+HPmtpgHKPARWHjOAdtC89j+O9fvKzcO94MRuWLQ2US\nCzTivsOfIYK/Pjc8G4Bbyk5X0vwvbWpHe/cInlplt00eC4igt1btC5KQ4LnS6ungw7V6oVZW5hWP\nXIMvPP5NtA+ld2zU6y2+n2EfXaVkI8ilTm2zFiUjra3Yd98D8AqWsUe+iQBwSZlj0syx7d3D+OML\nuyMd2nRJFV7+yiuvRGNjI66//nqMjo7iM5/5DKZNm4aPf/zj+MQnPpHqQa8VGTMDZ9gwabYj5Hx5\neBi5KhjKUqAubRyxLyBCauvTMQ+iztxxwMWynnI28aqcdRSVTEICZpvYTg8XR5S/bUsHMxbaNGJe\nd+LCaeHvah05AJ2B47EMXDmib05pkoa8d/3uVdx51QXqBZSBs+Q1ZIwjk3GQmzQ5tIVZueEA9nUM\nKtdoFbe8zDgAuIgwJrZ6pGXg9L6WiYojZZH5sxqxr2MQDXU582RMGB/aFPl8GZv29OCtZD/MGQcq\nD7r/ZxMVaGhzXEz/j4r2fyhF76ub9/SAMV7l2Ae27o3fmDIOVNCltHvTM3BRUgkDl2Z5UwActwfy\nrXSsFz1f27S7pwWzJ8Z7mgsR9XYdv96elYFLXwc9vJJu8xs+N6U5wtrP/rt/fbmMBR/7e+WcroYG\ngFw2iQ9Lns8+e/MzKJYZRgtlfPiC4xOvjwRw/f39mDRJBmC9/PLLcfnll2NkZASe56GxsTGx8Nei\nHEonBg6unK9mcsu3tyP7+W/j7BMaMHE0fuA2Tk2Z2ioEcG4I4JyUI6NQJruPCl4nSTWYhAuTJuAy\n85T6zD9+OnoH8soENpZPPX1yPY6a04S9bQNjsz/SVahaGyqZGCKMnGlbtnePGOeVXLIkKKd4VJlx\nZDIqo3TD/74E7pDYZTp+s4Da8TC6jWKlw/NVMHAU6HnBu+rSuu0RjAy14bhTP6WMS6Ea1YOHcs1T\nW2HgtHr1DxVigfnrQVQvVN3ON46BO/xpj2zV2bVfDZ9RSeufdsIs/PbZaMcyvx9Uh+CqBZXK8xMA\nHJ1L48A2K5Xg5nJKRAMXHK4lkG+13beSJU+0Rzbjolhm4TxLH10J6DW87iP6ZtrwREJGmk1mVtmY\nBzVes60TR86OIWwSbOAO9o6gGKwBu1KGIoocfWeffTauvPJKPP744yiSSbehoeF1C96AsTNwugqV\nq6MnNuBnGln96c8CAE7bMoK2aQRfWzqd46Tb4oc7LtcFDwbYwZ7oYLhUHtgkjeBZBR0/yTg/mYGL\nP1/0ikpcuLXbO/Hde9ZUVIa8zn58apMfg2i8woj4VLvJjgmJYvqSQA0jrJaNgRPAkO4ajx45gEkl\nme81VeyvcYoHFvddlMDGKYGzEnPQ0j6l4hA6mp/DYPcO9HVsUO8NXkl3YvC1pHThJKlzgEhwJ+8f\nXwBny2YynhLHmMcycK6DB5/ZgdvuW3vYYq/ZFvWhEc3euIKqJDEnY7KB5fbfFUlC1H/R7o2lYcz/\n5U3R5QjzmR075CHi/GQr81CKeIRofzH/8YS1I0qMayPQZKUbcptNMbeoUJetjXcqNL1Q1W/5ieuf\nDH9nU6bOjLzqjjvuQGNjI6699lqcddZZ+MpXvoIVK1YctkF6qCRNh/CjyNuvM4/THRYDEtKeBBcm\n1gEAeicRryouOjdV5aTb7ojOVvR4yMD95w9fSHXvCTOODX/rYTziJCkcRKITg+WeRdMl46iDSQc+\niFPrkKKimix+8+zwtwBC4xXI17dPU0+nCTNA2+/8U+cZ58sDA6oNnKvawIW2QaQul7Y9gyuaf0fq\noU0uh8iJYcStxcX/8TD2dw5Zz1ejQtUZOF3KJHPHQPc29V7CAlDhnCt90CuWlHNRdY47NhYZQyrk\nVKIwRRWoUAEHv3h0M558uUVRyVciXX2j2Nnal3xhILZvPFOzYayELU7aoI3lW1arQqV9Oq0K9Yy+\nTciO2scVALC8acvlgMN1x5YLVYl1mZJUAGS9syGAMxm4ausBRDtzVb4ht5TDVDW0f2j8xnxaM5DI\naeH888/HTTfdhOXLl+PGG29EqVTCZz/7WbzjHe/AjTfeiM2bN49bZQ+nJH28ruUvYuVHPoYX/zbC\nOSNmMuOcqyk2qmAsJh53XPjblkqLc8oEpCtfDPpcLitVqCnrc9y0heHvSgCcl7CLqsYGbk6jdIYo\ncw/Dw/GG3dUwcJOmNJDj/omx2cARBs5iA5fGaJ+238wpprE9ALDQ09gxnBhC4+AYj+J06YnGPkH1\n1Pgqhht/sSqxHmkn2iRHEIckKp0y+2Tr8/QJ02fgZLm9qwm7q1XLlqR8vL1Qd1pC8YynxHskR78L\nK8oxWG2g2o9/6wn8v+8uQ2dvOuPyNICqkr1GIoAbkxNDBSpUgqI27ZFxPhX7yxgnBsqoR9QGAFB/\nhAxw64pk9rpmoIJXFk53QGVmQ1zbPHmhEwPti+nrYdQ5YtdTKSC3hpmyqFBTFBT/N5HdgQq155XV\nsUUm7utqampw4YUX4pZbbsHKlStx7bXXoqOjA5dddhne+9734q677kpR89eGiL4V9wG33fyd2DKU\nHZBh+KmqUKNGQdxAblgg3cDndBK1QIjy6bGUvTsM5OuEXqhpbeDK5HmVTGSJNnBVqFDpMY95mDAh\nPkp3+kWUW3+LZgzZ+AAAIABJREFUPIjPrU1OfxZdB5Vqj8s5GGkDp7y3/Rrxro4DQ4WaL3pGXcxn\nGAWazxgHBs4Nymjvtqvwq8nEkLRZKBflwqa3gbheZ+DAVXtWXqYbMzUOnO27vc5M4JT36WhRs4XE\nqlCzVEswtjrsO5iOwbMnr0+zAYkoL4E5GRsBTxm4+GsnvEVuLmj6vLQMXNG1OOK4mmMNYIkD588b\nWVbGEaMH/b5fQfsNFKgpRiVaGv//EMCFTgz0murBVqQNXKWB2W1zoWcycOdZtCNRdQPiWeK9bQMY\nLZSx5VvxiRIqIuZrampw0UUX4Tvf+Q5uu+021NbW4vvf/34lRfxZRQQrHK+wEGb0am3Sj+h8zEsX\nEmDSsDlw1R1dZQwc3EzIwKXdNdA4cBUNzkQGLv5+23kdwCVt9qr6zJZ70gTHjC5PBXD6ppC2zas7\n7YElaX+lLEdu8mT5mLBtTAZOnIuLYZgmE0NqBi7mw7hBuQJUmvWQv5PGKeccS1Y2Yy/J4mG7p2Pv\nc+FvEUMxfF7QNhntw5SHR5RO2HCMZKK5/3B5bcmM7/day16QJHShPGpUi+cVM1jjcj9XKpt3p8su\no/fVY+ZNMsmNCp6bpp9VK6oNXMJzyLhRNmp6Ht6I+gl2WxFLyiedPRJhRC5pexaX738cb+vfijse\nWB9bVyqKU1AlWicNwAmb17EAOKVvRExDla7/tnnTZgNXV5ukPq7AOQjAyo3JcfVSA7hyuYxly5bh\nq1/9Ks466yxcffXVOPXUU3HPPfck3/waEZE6aLwocXOhYokGpwDQvueZyPLpYBiqp7snAeDseT/j\nJNwtOA5YqEJNd2+J0OPV2sBtsbjpJ05mNrsi8vwy9xJdnqpRodI7Ljjdz7G5YHb1Tju6CtVk0ePb\nCYhmM93aGuM5NgYufESC+t9+U8Ixe2GRp9yEMujClbRTfuKlFtzxwDrsbYsHcE3TpTu+m1FZCsnA\nqW02sH1HZMfgTN07D1hU+a83W+EBEhdy+4QjlXO66l114BgfxxYAWHhEOkcNHcDV5jKW/pv+uUle\nieNlA5eoQXWpV3hEG8ek0jqjd1Ns+eEaoocRgT9vHB0A93d0VxbQ2Kt2kx9UXDgxCLtmOroq3Qil\nubzS1Ii9FjWmLZBvUj+pdE649e41idfExoErFot4/vnnsWTJEixduhTlchkXXHABbr75Zpx99tnI\n2Pz1X8MiFjbPY0DOXvdpZ74d3StWRhcSo0I1GbgqJjdSZtfkLCYGqX5EuYwAqrQqVBkHTnqhplWh\nVgPgOGPoe/BeHDtcws4JPggqlDzUkjZPGpg2kE0TFpW9MpIs+ULVQsnDfU9tx5lvnoNj502OvYdO\n/JKxjb8lvhKqE4ORBoiUfcrx9vhJimcmVeUR71MJ4KRBsmgd0Q6xKlTDBs6yUGir4tOrWtBQl8OZ\nb54TWa4uTrALrY/YrdLvXkywqbrjgXXGMZuKOZORqvZszQT1eaENnObE4HlKezE9LZ6ln9jKfa3L\nTx/eiLXbDqK5XaovJ0+sAagWVX8XCrJL8XH9KpG09lOii2RcBx7zN0V6azPO8cqWDhwzbxKmNNbF\nlpfklTiWDX9FTgyknWscCmLSqVBHM7WoiYmzGKpQlTmJKXazANBZ68cX5dw0+bAJBXCV2AuHNnC6\nE4NihVS9CjXSC3U8xqYW39M/VGm5Y69HJID7whe+gGXLlqFQKOCcc87B1772NVxwwQWoq4sfDK9l\nkQxc9DWx4A3aAKrABs7m5ReloxdCnRjCWG6MMnCV2cBxkrU4LQPXOyq9w+IGE2McpaKH2rosela9\ngpGnn8CHANx47D8CAPoHC4qnWLIKNVpVIOuSAOCC5rnvqe24P/h333+9F0OjJcUZIErN4Y4zY+uA\no1/LgEHL7u63Z1lQgv16EQBOlOOY3lfF/fuxf8WzYKXoGGym3Xo8Azc8WsL3gtRDj3znA5Hl6iIm\nu/NPnW89TxfTR57fjX/92zenLlu/X4i66dEAdPB36IkXnOZwlGuVrAwaYNhvsd16vTBwtjyyunlF\nnH1ZuVAMV5GxxglMa/8u1d4+gGMWBPfc2v14dPkeAMCPr7kQs6dN0IuR5R1CL1RlbkliaAgQytE8\nihY1qO0Zk8oJoaFEOdSDEght4MLLAsVc32ABU5qS1/vqtTT+/9lgvgpVqORjVtr0yrfi2u/gJbv7\nk51lkjVEpgo1eZ3Qx1FiNRIlEkF0dHTgS1/6El544QXcdddd+Ju/+ZvXNXgDNAauWkmwgVPsFdTR\nq10bUQcykmgye9GT6WJUKJTw3NrW5BQeoQ2cDORr1C9CNh3cTqoQ3W4//8Fy3PTVxzA8VEB5YMA4\nn82aYRpi66yd9vJ58BKdKJJTjYgBdf9T8h0u//oSfOL6J9E7YAdLVELAP5b+og30Xzyqem/TQR8V\nhoFOSi2EKWEKA+c/hyamFl/64Df/E3t//kuUeqNDNaSKAwdp3FwkwUCXv3ogslxdXGGHk7YeMaKH\njgDsiy3zJHDVx5243nWAiR5NXacF8vUixjVgePBF1aNasY2VNVsPorndHGdp5fEVe/HUyylTR8UE\n9qWbiLG+c1r/RVE/wZoyZkJHAd4A4FM3PBVbXhJrNJaFthInBgoKPDK+eERIEVluugpymw0cD2zg\naHnB/JGmf22/9ftou/YmOGJ9qqCxdAaOhWWQuiQ0Wi7r4iN/fbxUw0aonl1if9YzkGyDTlWkM84/\nz3LeAuAqVqGq33JCncqnveXY6Yn1jARwv/nNb/DRj34UkycnqJxeR5KGUZn69jNiy1B2UXrwQ+gM\nHBl4ZrbrhNqqAI5bGLg/Lt+Fb/96NW75TbyrsbSBcxUv1OHRUsxdvtTnJGiPa7fWvb0AgOZd3Uq7\nZAKgZWZqSdrhkImvVMLKj3wMp965VKlL0o7d9gwBdtXJiTIt8mgI+MfEwKkeX7rQQZ9GhbqtpVeW\nXbKpUM04cGmE6YAlsn+ak9XvnpWBQZNsogS7E7WJqgQEnPfWI4xjVtW7Z3pz689zXQc1dFPg67vl\nbTGhNSZPrLH07/i6VyJ6QOO2rmF87ccr8H+//WxV5Q2PlvCDB9fj+/fZbZ0cfbMZFxeOqpnHaA6X\nVoUqniM2WHrWjErlcMWBq4TV8Urm5sz/bdFMpK2fMKWwgA9qBiDspJNUzwDQuew5lJpbMXXAHzuV\nMHAhgHM18BXRZo0NppftCUdNxWXvOSEEcEoTW9ScqetGg6NbwpHoIBhIoZpNqIM+d/3VibMjrpRy\n+POg/BklkyYwa6JuL06FqtnAxdgupFF/2lWo8r7+ILH5ig3x3ipqLtSg7JTqjqMnS1VXmsHJGVfa\nUDAueudMVqHK36U+nznK5eVC7KVh4IL2m9xohhspKWEhlCeHv/RAvlfc9DQ+/JU/VrRY2CZLWx0B\noKmhxjgPaG1HFitmUaHaMjGkFRbRDooEz6Htd/x8mZM3CcAJEBvloFDJYml7T5sKlTMShFfb9VIv\n1Iyj9VGyC2dM7S/0ypGBAowvN44IboT0+2zGwTOv7Et9ny1g8mghwW4tKZCvrkINZCzxEgGk3nGE\nAWAFA8fH1tyH0gaukryeCoCLYt1inBgS62JxYnA5QyZvpucDollym3gBkqgsUoH/v4jB2DdYAOc8\nhoHzr7vojAXhETEHCPAflSEldaw28dwSmTMs8TOtTgyJHyJ6HAGmrXWajBFvKACXJoyIMojyppot\nPO84FhUq0+wVlO2Aea1VZKGOUhQz7nOclJ2SODEI+wYHPJUxZ8VhRGheTkTvTiqJA8fK5gBKUxfx\nSFv2gsYJdrBEqyUG0E8f3gTGOFoPDiFf9NA3lC4MjF6gbX2ig/65dfZ4c+Ekxjk+se8RrP/Cl8QJ\n+ZhQhSons1TrIW3nFA44gkmmAE5xAEhk4PzzkUGLI2wfr7r9edz0SzX4r815wOZRyGgaLO28Rxi4\njDbJtz4oM1UYphHk0vZd3VisTaXjSMApwhhH4wSTiWCM48FndmBbs/RkvuKmZ/CZG582VPNJAM74\nBPrmi3y7oSE5R1ZjHK7aLKW7R8wN7uFi4MZQtgJGkuY8soKLzdmm3d0oFe1sHC13WjFFJgvGsb2l\nF0WSVeTcnnWY9T/fwsRWyaJPK/naiaQ2pRtIFmq3qmDgyPzxxEstoB1BBXPCAUqqGkUfEHs58S23\nb+5AZ2ZaeJ3OKifWjTKgugOTXxmj7KT9izGstCN6dqE0qSvfWAAuo+rabUI/Fi+X0ffqBiz/wCXo\nfH55cDBgOjIZa16kKC9UfUGMWiBpkaoKVfxBqFsC4OLS2FDQKb1Q/YFfLHl4elUL+gbtoKRE2Iut\nzSniNHGuJEsWKlTTyzGpGHlBsaeHngCQbrcvnllXY/rq2BZ/XagdzQe+9HDi9VZJUKGmmVfEpJTh\nDDOKfRjevceYVMS7Ui/UNOKCy1yEZMcXucGwMGglxV4nnhkNAX3E7pJ+1roa31P10eV7sGVvD15Y\nr9ra2Rg4awpXEnpncNs2cpxj1mgXar0CXAcagHOQmyTDWngF1QEk0WCfA22PLcHmb/6XspuvRnQ7\nqoEh0xnlxQ0H8ItHN+M/bns+PNYT2Hlu3qOGp3l1h5pyThdThaq9Kznvkt+x8yrnuOHnLxuew0kp\n9+xl+f8L5oaPkYFLWijHpEKNcWSzXBz+LAdj6ss/eAGFYnzwds6B+hSxRTln+OL3n1PUiTMD4Ddj\ng0ytWA7SYSW9tzcibUbDdFJVODHQLCi/fmyLGonL0j9o7tqMwcAB5ZKHe3/6Ml5pOiu8bkwMXGIc\nuOCeSlWo2p/6/V6M05mQNxSAy6Rg4JSghGUPm679OgBg+y23AiBMRyZjUByDu3ZgtJWwKMrg1enT\niI5OnRgSVKgUwC1dE51IN6TOiRODAw7GOO59chu+d+9aXBORG5UycL96PGX6NNIuOQHgYnbx1jqT\n026NZMvEK6dS56bWLVR2TyXJkG3eSkpZKZ4nBnYT8TJjWrgAJd5cBTZwl737eKKKUnYM1utF+1AG\nTlFHp2TgolSodGzmsv5C8qOHNlivTWI0ZZ1kHz747NLwd+/Gzfjn1j/hEy2PwHEcRYWamTgR099x\nTvh390svy/JSfDMOYPdd/4Pe1WvQ9cLyxOvjRLeBW0cAmKjLwR6pBtuwswt5wtrksmpL/fSR+Hhh\nxrePUaG6SgiJ6HbpHSxgxYY2LFnZrBxXsmikHK/iHmo7pQPqqSm8J4Xc++T22PNjAYeq53zCtVRV\np6g5yToSwcDl3fisNP6FDKceP8MOZqimJYiOIK5q6duPn6+5H0MF1cu12CM39JXMy0J0GzgA6Bsq\nRKpBw+9OGDuxEadsLE1tJzROY7GBS8rE4KZWoarnS5Qs0lTHfh3+wsApIrxd4nL2KQyabeesMHDq\nqZ2336ldGr0gRqqoyFfM0EtEjBxFhWotAqX+fiz/wCXY98Bv/XtEjjnHBRQAB6wPFoN9HUPWhYnm\nuQOQ6PEKANkG6bL/5oGdAEzQU00gX0C2iT5ROJzj3O51mJ2X2QziBpTCNlW4O6sk56MCrGA6XqTZ\n3YfeWXRzoav3Rb90pQ1cGgD3wfOOCXexXiq2wH/3agFcHSsB3K6+39s2gMERuetMCuRrM3pPAnC0\nUbqXvwgAaPJ88EMZOLemRmXjFe9tJKv76MJdSN5Jx4nONk+eKBdr0Yy0La754XIlr6jeJIn9NyEm\nIP3GOWLnEdeXh0bsbUBtvdIyXdILVdqoGuRGBQt2T4JH+riFEalEhUp+Uw9Ka4BzxlOFheKMY+22\nDus5yrp21UxS6vsfS67Hn3Y8i3s3qFqIdf/+RXJ/UJcqAJyRh5j8TmLgdBUq41yJlSnAqAuG2dPs\neaRtotrA2eYUVbPiNAxgec9j6M/bPXf3dQxieFQdA0MjNE2lpQ5ecozFNxSAq835rxsHQvrWSoqf\ne2UjIS5l4IwFRFfpxNgURSYWJ/dkLCotmsyeMnB0B/7yP/4LAKDl13drZcph7oAHnpyyzjbbrjLt\nRA5PBeAoSnlb/1a/CoYTQxIDR96d7IYyoas5UybHKaVBnN37Kv659U/hMTHx2gBaVPR1Xx3Dsekb\n1+PSHjtzEqVutoo20KtZaMQCniN9ZnD7DuUaqUJN780H+P1ZTKCVqFCpFy8NKZLGFXFmsVfJnlDs\n6UXfuvW49W7Vm9oG4OhiantNaxgR3bs0kIOPPa5cRwEc51xZUOvnygTg0FR2k+aYmTrGQNoYooNd\nGseKfvcoGXPuR8OpgXwDLx0DF5WvNinlnrV6wWXUC9W4JlVJ6WS8AvnGjXXPU+2nbbk2/QJtKlSu\ngLxI4dFAj37HkUyduFyRbV1mzMDwflG9CtpKfG49D7GNtfQ8RrKmRKtQGfNT24VlOZKBM/Idx9Wt\nFO25rocLc8FQd9KL6MnuwO3Lf22Uta9jEFfe/Ayuuv055XjGje/7NttvXd5QAE4YW6dVgb26ozNy\n8rIxcIZTQ1RMOMQxcPJ41qJCVdQXBMDZPC31Mpkjk9mD+52GGjTTHYGQgSKlzdM5PlBw+vjMtwfV\n198/oQw68ZHJJRP89DhTCplVMNNQxVVVSWBNr+NAeWgIfWvWYmGPfcKyeJVHihrI11KPwIVO7IBt\n4TXEp88RW67sBDUwqc0LNQ2M455HGDjy7AQnBhpiQGHgYsBC2c2hZdKbMKU8gq4+CUJWffyT2PS1\nb4Lt3KZcb2uLavJW0tA7cUhHsYHjar/LTZtOTqlG80NdlgCqFTAvSaK3w87W/sSya2tkpovtLaqB\n+/vOPjr2ebqtZpwNnMM8YsQd/Z5qvkyTVdGPx4mev5bxyjeIlch42cBF7W1+9sgm/O1VjyjOBdTx\nhqo8bQw353b7WuM6xlATMXc5ZKMeZhbQymzutztZAWNUoRJgNbmxFipe5RgeKmDPftnnqe1ryMAR\nMK+OFxE2iynMXWLdLDE2SaW0i+XP/QMHjbKicpqyhL7vjNq9g6m8oQCc+OxpVWY/uF+NkzS0e3c4\neTkZNxHAqfy53rHtdeAKAyePj46W0DuQj/RCTeVZ62g2cCkGfaFM2CaHY8Mue8J15XnUqB12x5FK\nbODoYBJ2gYyzFFqs6CsoA6fiN/Uem/dSJSpUPZCvcZpz/F37MnxuzwPIsrKVBQ3DJsTkwWWB15SD\nyhg4MAbXVVPZADFjJHguJZtLdMcbQ/tvn/5X2DHjr1Bfb49v9M5ulYFj3K8TnXgpyLTuWi2fpqeN\n5BQkM97Ek05SrlMZOCh2QXT8ci7jHgKAV7IsqvquoAIZ7NmN1U98CfkRf6zFje3OAAjr33z9dmkn\n98RLqt3ZjCkJCegT48Cp9ckGDGecYxF1nPAYR8/LqzDSsi+SmYuTMHZfhjBwXL8mVVGpZLxs4KLm\no4eW+mYmPb1kwRYghHN1WbGUwThPZaTPGUNTxs7quApgFPbW8eXNvPBd4e/qnBgEECdaoEHVBi4D\n4DtfewK//6m0QaUbaD2MCONcdRwRNnIYCwMXPx5cbeOny2BAjOhRI5Q0a5a+f9QDtyXW840F4Iin\nShrRDR+3/vfN4c1OJmvu5rW/t974bRQ6u4Jn6jZwEQCO7PqzhCU60DGAT9/4FGgPoQzcI8/vjkwR\nIsr048CpTgx0t5JJET9syx57wvXwWVAXcZH7suI4cHQQUgYuOO4xprIcpO3rPd+mRYbfMMuPXBS5\nyiKdcKSZYLsyGzgTwOlqo0XDLWhgBRyRt3sHioXx2GHpqKJ7e5aC7BeO40BkaEvFwDFmxLsDYhji\n4B3K5NoSaa+dd/ww8lk99b4aMufaQ7iMEkNsUaeyx/Cu00gswoQFvxIVTm66GumcqqGYpkJVPBU5\nx0BCKBkln2OFNnDbX/HbcNMLNwEAdhHGTZcv3+E7H+nfWrcropKIkww9f7QTA0BiPcYUPG+WVDMP\n7d6DLf91I9Z+7vOKNqRSG7hsGLrCUuUK+sGpi2bGnh+/MCLx19INnsi9q2/6opwYUuW2ZszqkQ+k\nY+B0yTU1yfuDSyvLhRrcq6079KlCzzBCPK8z1NFPADShWOLqWBXrnct5KgauWCjjN/+zEpu3E5bb\nIB80+2vQNdR8xtSmOrzn4Ar8y74/KsdZwmY0jbyhANw7V/wKswrxoTBqyKSu2xV4o3miQjUZOMNA\nvVjE9lu/B8CyIEbtVJQIz+qp0YKnlKPjrW//OiIjA4kDJ4p0uN9paF+02crQTAyOwzFnenROQSF0\n4csI1aChQk3PwFFbAJc4MUSxRBd0+vHCZGoW8zrV3osyT9A8jEwZ6ezG4LZ4zzVSePhTTLIU8KjN\nYldRhwnXKQukAbhsMJk6rqOESEmKf8Q9ZnViQJSNZvAOFPhTu8i+devD36f//CeYddGF4d+FnOw7\nR8+Vk7+QbRMXhL/FZFsuM2XnTD0yrW1l+dZN0xfLP2I2KfRbM661McVvAJatlsF09QVIXuXL3v/9\nReQz08hdD70aeS5kbLUqzJtp2uWFNbO0UYZ7mFQaEhfoN2h/q30qaoxTqc1JlW6hS87BFSV7D68L\nnpsR0fdNL9S4+WXHbT/Aui9cFV6TZCM4JgBXQRgR1zK+jby0NhUqSxcmg3OOhpy9/zs0P2rEnDF/\n0lz1ADXnCX5WpkINnmeYHqnzMZV5Mycq403cqzBwioOaYOCYlYHre3UD8h1S7bl+1T7s2taJp1ZI\nht2wgdP6CyV6bOY10ybV4ZSBHcYYpQCumhiKwBsMwDUNd+OokbbYgaSwR9p15cHB2DAittYcbgkm\n+tReqPbjYSdRbKrU+u3YZw/mqGRicAgDx7kSbsDWiZS2cjjmzZxofYZyj203VyGAU4x/PbsTg/r6\n8mOcNLRHKcO2u/EYw7d//Qq+cqcWPoVz9Xm2YMnf/k+8etVXMNKqhm5hjON7967Bn17cI4uzMHBK\nIFTNOy9OLdhaJ1NtmfHWyKRGbOBqWLwnE2eeNUNJUiot2leiGMmaKVPgZO07ftvnp4dyGanWpfW6\n+VcymK81bZZtIozKnqKtHIoKFY7SD/R0Rs3ECcNqd1f9mh9KrtZnf9M4Dun5WON29LZ2u6z1cVzR\n/DvMynenSKWlMXCWPqFcz7kCknhWBiIW7ZhlZWRfWoZdG3fjtvvWxiYcDzc0wu7J4oUatx4efPoZ\nDO/aheFduwGYAO7Y+ZNx1WWnYb5gDcfwLdOoUIXYbN1cfRyOkYGbEAHgXDpnk7AYHgF2WSej3KP0\ni+DxJc9Df8pA52FAZiMlpf23A99ezrUycHIOU/o+SR2p5+Oele/Gpmu/jtX/ekV4zLoGGjZw6nik\ntbd9hnXbDip1CYupwnxAlz8LgCsWi3jf+96HF198MTzW19eHf/u3f8Opp56Kd73rXXjooYdiy1i5\nciXe//734+STT8bll1+O5ubm2OuFuAm2U9R+ywFHwdEWIE4BXLwRXHf9XDw942Js29huqlAjatH9\n4grr8XDxpypUjaKz7SQ5l8GFGVQVqsc4CmRxsDl3qDsqjrZu07BSDZei7lAEizkmJwbqhRpUt8w8\n5ZpC1oz7JB5pGxuex/Hc2v3YuKtbBS7Q6h9T0ZFmNRn4hl1deHrVPvzwt4QxsQBuOkn8+vGtpAQn\nEmwCGsDw9A2Bf67Q0QFeKASlARO9BENYZjJwfmR7O2gQz6EMXCnGW8px7FOMdaIk40dMth5jCuBY\nv4OEiYlhK9Vy6YSuVE65jrYv0/qxvvi6tKBxAGtWqcDkQ5+K4lglW3lzAs3EeT1rTcYhxokBkAyc\nre0//92luPg/HsYQybvMSNt962cv+c/tXou6Zx7GnuuuxZMvt+COB9YbZcn6qwCOcTMTQxoVqlvr\nq+z1ea+hNotz33pEmFx8LGC8IhWqsmn15zdDhRppA5fMfPlODPZKUAZOgEbOOTbulmYdE2rUMBzc\noi16aNkOXPa1x/H+L/4huT7CHEkHNhEN7sKfF1yFgRNODLJMlcGTNnA5jYETERKo2MyIYnMBQ/tu\nlnr39FmcnACFPKmW5T3sAK5QKOALX/gCduxQwyB8+ctfRl9fH+655x5ceeWVuO6667BmzRprGW1t\nbbjiiitw8cUX47e//S2mT5+OK6+8MlXqiUyiSkn1/qGfMzdlSrwXqtaaG+acDy9Tg/v+d5UJ2CpM\n7eGA44Nv3obuA68o9aNiRfGMaSpU1QbuvWdJjzQBFDjnaG3uRX60ZDBwfyLZCcJXUSYprgCu6cX+\n8Lh6T3yHpc2jZHYI3rHMSmq8IFfdHdJn2Owyomw19jf3qjZ3Matzpk4FjXSRCutAc6GGgDK6zDgV\nqrIb13aBosjtt9yK/nUyFM7HWpdEPgvwJyNhtyFAWRR4C24w6lmMswmkk60laj9t65lTZHuGoNLj\nkbtTO2NsqzMB0RnZT+jo9goFbSftqHHgFI/y+LAdkfWoUMQj6mvNvh11rZA4T/s4B6KFIwdMNkdf\nwCJs4GzfQ9jv/fqxLfJ+Bfz695ze758X9quvbLHHKwNMFSrj5sIZ1WeU+T3nA7SSrhITrA1Ry1Ur\nFalQtXhvjFmYtYgwIqm8UD0PdRG2kfR+sa5wBvznj2QoJUM9qoVIAlRD/WQtS/A8UqVTF82M3RBl\nXUe53syFqrW5AHicGQxcT41pxmEd2IYKVWfg4tfyE+ZPEhcqsmm3NCXwPIZ5ox2oTZFRg8phBXA7\nd+7EpZdeipYWlbloaWnBs88+i29961tYtGgRPvShD+Hiiy/G3XffbS3n/vvvx+LFi/GpT30Kxx57\nLG644Qa0tbVh5cqViXVwoaveVPFGJGPhcmZ6DoZODMlhRBQxJsHKANy0OVm8ZW4nhnp3y/qlyIXK\nymXViSGoo8tNL1RhX7Rz60H87LYX8JPvPa8OWofj4nMXGs9QdjyMKx38bX3+xDy2MCLUCzW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ckgRoQd1AFc31AeLb+5x3JHPAP3rZ+uxK8e24Lv3WuPErGeqNpzeS8WjDsOIgL5UgBHN8gm2IsT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\ndRMNgyKerEIsnkZuoYC3j6ipNo6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pInCRlzIalAy1OHBoXfALTW5IBe7aZScfzpv7HBJr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\nARLydM2ihHlBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotting all smoothed velocities for one group\n",
    "ax1 = vel_env_group[1].plot(figsize=(10,8), linewidth=2, fontsize=14)\n",
    "ax1.set_facecolor(\"white\")\n",
    "plt.xlabel('Time (s)', fontsize=14);\n",
    "plt.ylabel('Velocity (m/s)', fontsize=14);\n",
    "plt.legend(loc='upper right', fontsize=9)\n",
    "plt.title('Velocities from all participants in Group 1', fontsize=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "bU-qRk4OTrYl"
   },
   "source": [
    "### Mean of Norm of the Velocity (mean QoM)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "VVipYRiwibKe"
   },
   "outputs": [],
   "source": [
    "#Mean of cleaned velocities\n",
    "\n",
    "for groups in range(1,num_groups+1):\n",
    "    \n",
    "    for i in range(1,len(nm17[groups])+1):\n",
    "        velocities[groups][i].loc['mean'] = velocities[groups][i].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "i5R-OQcn2Anp"
   },
   "source": [
    "## Segmenting data by conditions and stimuli\n",
    "Using the order of presentation of stimuli for each group to segment full trials into conditions (music-silence), and stimuli"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 576
    },
    "colab_type": "code",
    "id": "KoWof6M92H9F",
    "outputId": "13aa36e8-cfd6-45b4-db3b-bb341fff0cad"
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Group</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
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       "    <tr>\n",
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      "text/plain": [
       "       1  2  3\n",
       "Group         \n",
       "A      2  1  3\n",
       "B      3  1  2\n",
       "C      3  2  1\n",
       "D      1  2  3\n",
       "E      2  3  1\n",
       "F      3  2  1\n",
       "G      1  3  2\n",
       "H      2  1  3\n",
       "I      1  3  2\n",
       "J      2  1  3\n",
       "K      1  2  3\n",
       "L      1  3  2\n",
       "M      2  1  3"
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Stimuli presentation order.\n",
    "nm17songorder = pd.read_csv('/Users/vesanche/Desktop/IMV UiO/NM/2017 NM/nm17songorder.csv') #read the stimuli order file\n",
    "nm17songorder.columns = ['Group','1', '2', '3']\n",
    "nm17songorder.set_index('Group',inplace=True, drop=True) #Displaying song order table\n",
    "nm17songorder"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "R-kvpadJ38OT"
   },
   "source": [
    "### Segmenting group data based on the order and duration of stimuli"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "holMkq9_35wB"
   },
   "outputs": [],
   "source": [
    "def segments(songorder,data):\n",
    "    #Silence 1 - 30s\n",
    "    #Silence 2, 3 - 60s\n",
    "    #1 - Telespringar - 60s\n",
    "    #2 - EDM - 60s\n",
    "    #3 - Indian - 60s\n",
    "    #Silence 4 - 30s\n",
    "    #Total duration of recording 360s\n",
    "   \n",
    "    \n",
    "    start = {}\n",
    "    segments = {}\n",
    "    segments[1] = data[0:30]\n",
    "    start[1] = 0\n",
    "    start[2] = 30\n",
    "    song = 0\n",
    "    stim_dur = 60\n",
    "    \n",
    "    while song <= len(songorder.columns)-2:\n",
    "        for inicio in range (2,7,2):\n",
    "            if songorder.iloc[0][song] == 1:\n",
    "                        segments[inicio]=data[start[inicio]:start[inicio]+stim_dur] \n",
    "                        segments[inicio+1]=data[start[inicio]+stim_dur:start[inicio]+stim_dur+60] #60s silence\n",
    "                        start[inicio+2] = start[inicio]+stim_dur+60\n",
    "                        song = song+1  \n",
    "            elif songorder.iloc[0][song] == 2:\n",
    "                        segments[inicio]=data[start[inicio]:start[inicio]+stim_dur] \n",
    "                        segments[inicio+1]=data[start[inicio]+stim_dur:start[inicio]+stim_dur+60] #60s silence\n",
    "                        start[inicio+2] = start[inicio]+stim_dur+60\n",
    "                        song = song+1\n",
    "            elif songorder.iloc[0][song] == 3:\n",
    "                        segments[inicio]=data[start[inicio]:start[inicio]+stim_dur] \n",
    "                        segments[inicio+1]=data[start[inicio]+stim_dur:start[inicio]+stim_dur+60] #60s silence\n",
    "                        start[inicio+2] = start[inicio]+stim_dur+60\n",
    "                        song = song+1\n",
    "            \n",
    "    return segments"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "4-1yXg-P4KaY"
   },
   "source": [
    "### Segmenting raw and smoothed Velocity (QoM)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "U2HkdNJ-4J7p"
   },
   "outputs": [],
   "source": [
    "QoM_segmented = {}\n",
    "QoMX_segmented = {}\n",
    "QoMY_segmented = {}\n",
    "QoMZ_segmented = {}\n",
    "\n",
    "for group_id in range(1,num_groups+1):\n",
    "    QoM_segmented[group_id] = segments(nm17songorder[group_id-1:group_id],vels_group[group_id])\n",
    "    QoMX_segmented[group_id] = segments(nm17songorder[group_id-1:group_id],velsx_group[group_id])\n",
    "    QoMY_segmented[group_id] = segments(nm17songorder[group_id-1:group_id],velsy_group[group_id])\n",
    "    QoMZ_segmented[group_id] = segments(nm17songorder[group_id-1:group_id],velsz_group[group_id])\n",
    "    \n",
    "QoM_smooth_segmented = {}\n",
    "QoMX_smooth_segmented = {}\n",
    "QoMY_smooth_segmented = {}\n",
    "QoMZ_smooth_segmented = {}\n",
    "\n",
    "for group_id in range(1,num_groups+1):\n",
    "    QoM_smooth_segmented[group_id] = segments(nm17songorder[group_id-1:group_id],vel_env_group[group_id])\n",
    "    QoMX_smooth_segmented[group_id] = segments(nm17songorder[group_id-1:group_id],vel_envx_group[group_id])\n",
    "    QoMY_smooth_segmented[group_id] = segments(nm17songorder[group_id-1:group_id],vel_envy_group[group_id])\n",
    "    QoMZ_smooth_segmented[group_id] = segments(nm17songorder[group_id-1:group_id],vel_envz_group[group_id])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "collapsed": true,
    "id": "kJPGjUn97RlM"
   },
   "outputs": [
    {
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       "      <th>Time (s)</th>\n",
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       "      <td>15.064982</td>\n",
       "      <td>7.429567</td>\n",
       "      <td>13.654114</td>\n",
       "      <td>7.868817</td>\n",
       "      <td>1.886770</td>\n",
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       "    <tr>\n",
       "      <th>330.039584</th>\n",
       "      <td>9.046421</td>\n",
       "      <td>8.364093</td>\n",
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       "      <td>9.709654</td>\n",
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       "      <td>13.392349</td>\n",
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       "      <td>1.939045</td>\n",
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       "      <td>2.163301</td>\n",
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       "      <td>19.242394</td>\n",
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       "      <td>4.123048</td>\n",
       "      <td>9.971822</td>\n",
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       "    <tr>\n",
       "      <th>330.084585</th>\n",
       "      <td>14.539399</td>\n",
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       "      <td>18.510280</td>\n",
       "      <td>10.810955</td>\n",
       "      <td>6.873041</td>\n",
       "      <td>21.520853</td>\n",
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       "    <tr>\n",
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       "      <td>7.135726</td>\n",
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       "      <td>12.536173</td>\n",
       "      <td>9.933643</td>\n",
       "      <td>6.393658</td>\n",
       "      <td>16.830690</td>\n",
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       "      <td>6.489902</td>\n",
       "      <td>4.009932</td>\n",
       "      <td>25.616826</td>\n",
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       "    <tr>\n",
       "      <th>330.114585</th>\n",
       "      <td>13.684838</td>\n",
       "      <td>4.476544</td>\n",
       "      <td>3.583245</td>\n",
       "      <td>3.560849</td>\n",
       "      <td>16.681495</td>\n",
       "      <td>8.811234</td>\n",
       "      <td>8.356917</td>\n",
       "      <td>16.809288</td>\n",
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       "    <tr>\n",
       "      <th>330.119585</th>\n",
       "      <td>18.174455</td>\n",
       "      <td>6.678230</td>\n",
       "      <td>1.886770</td>\n",
       "      <td>8.325748</td>\n",
       "      <td>10.442077</td>\n",
       "      <td>4.931463</td>\n",
       "      <td>7.028416</td>\n",
       "      <td>21.520853</td>\n",
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       "    <tr>\n",
       "      <th>330.124585</th>\n",
       "      <td>12.473800</td>\n",
       "      <td>3.492801</td>\n",
       "      <td>1.939045</td>\n",
       "      <td>3.261856</td>\n",
       "      <td>10.759033</td>\n",
       "      <td>5.477150</td>\n",
       "      <td>4.874355</td>\n",
       "      <td>7.249727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330.129585</th>\n",
       "      <td>14.979779</td>\n",
       "      <td>5.172935</td>\n",
       "      <td>4.386282</td>\n",
       "      <td>4.967828</td>\n",
       "      <td>14.698095</td>\n",
       "      <td>6.477564</td>\n",
       "      <td>10.556368</td>\n",
       "      <td>5.418412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330.134585</th>\n",
       "      <td>15.151027</td>\n",
       "      <td>8.543885</td>\n",
       "      <td>5.003929</td>\n",
       "      <td>7.717405</td>\n",
       "      <td>12.216213</td>\n",
       "      <td>5.047702</td>\n",
       "      <td>7.031261</td>\n",
       "      <td>6.434194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330.139585</th>\n",
       "      <td>13.465324</td>\n",
       "      <td>5.868479</td>\n",
       "      <td>2.144731</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12.602999</td>\n",
       "      <td>8.279982</td>\n",
       "      <td>9.055259</td>\n",
       "      <td>17.279806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330.144585</th>\n",
       "      <td>15.885622</td>\n",
       "      <td>4.108471</td>\n",
       "      <td>3.638631</td>\n",
       "      <td>8.182795</td>\n",
       "      <td>18.279790</td>\n",
       "      <td>4.147231</td>\n",
       "      <td>5.549698</td>\n",
       "      <td>18.336593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330.149585</th>\n",
       "      <td>17.606572</td>\n",
       "      <td>8.091859</td>\n",
       "      <td>2.097589</td>\n",
       "      <td>6.228878</td>\n",
       "      <td>9.247574</td>\n",
       "      <td>5.134128</td>\n",
       "      <td>7.051143</td>\n",
       "      <td>15.576690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.854998</th>\n",
       "      <td>20.708165</td>\n",
       "      <td>7.402599</td>\n",
       "      <td>5.095025</td>\n",
       "      <td>6.427974</td>\n",
       "      <td>4.103600</td>\n",
       "      <td>7.249727</td>\n",
       "      <td>7.665401</td>\n",
       "      <td>22.990113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.859998</th>\n",
       "      <td>19.376005</td>\n",
       "      <td>3.458275</td>\n",
       "      <td>2.569011</td>\n",
       "      <td>7.539126</td>\n",
       "      <td>7.399897</td>\n",
       "      <td>7.443014</td>\n",
       "      <td>3.280198</td>\n",
       "      <td>8.842954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.864998</th>\n",
       "      <td>22.579323</td>\n",
       "      <td>16.633470</td>\n",
       "      <td>6.199914</td>\n",
       "      <td>7.149726</td>\n",
       "      <td>9.143177</td>\n",
       "      <td>4.024866</td>\n",
       "      <td>3.820942</td>\n",
       "      <td>8.002388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.869998</th>\n",
       "      <td>20.207639</td>\n",
       "      <td>10.057693</td>\n",
       "      <td>5.196080</td>\n",
       "      <td>9.801904</td>\n",
       "      <td>9.471933</td>\n",
       "      <td>2.349435</td>\n",
       "      <td>4.902992</td>\n",
       "      <td>8.072062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.874998</th>\n",
       "      <td>17.808739</td>\n",
       "      <td>13.038224</td>\n",
       "      <td>4.886649</td>\n",
       "      <td>9.668371</td>\n",
       "      <td>14.150422</td>\n",
       "      <td>3.429238</td>\n",
       "      <td>3.693186</td>\n",
       "      <td>19.911529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.879998</th>\n",
       "      <td>20.777584</td>\n",
       "      <td>3.903790</td>\n",
       "      <td>8.049733</td>\n",
       "      <td>5.440513</td>\n",
       "      <td>7.445701</td>\n",
       "      <td>5.314058</td>\n",
       "      <td>6.867219</td>\n",
       "      <td>19.021828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.884998</th>\n",
       "      <td>23.782857</td>\n",
       "      <td>3.206199</td>\n",
       "      <td>2.999958</td>\n",
       "      <td>6.563444</td>\n",
       "      <td>14.654489</td>\n",
       "      <td>5.772268</td>\n",
       "      <td>2.792809</td>\n",
       "      <td>12.244012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.889998</th>\n",
       "      <td>16.411963</td>\n",
       "      <td>5.418412</td>\n",
       "      <td>4.108471</td>\n",
       "      <td>3.826172</td>\n",
       "      <td>13.441539</td>\n",
       "      <td>5.786110</td>\n",
       "      <td>3.255719</td>\n",
       "      <td>11.921244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.894999</th>\n",
       "      <td>20.353587</td>\n",
       "      <td>3.298439</td>\n",
       "      <td>9.641443</td>\n",
       "      <td>5.939614</td>\n",
       "      <td>9.391355</td>\n",
       "      <td>5.414719</td>\n",
       "      <td>9.329393</td>\n",
       "      <td>20.971118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.899999</th>\n",
       "      <td>16.353366</td>\n",
       "      <td>3.117648</td>\n",
       "      <td>4.280127</td>\n",
       "      <td>5.075361</td>\n",
       "      <td>2.154036</td>\n",
       "      <td>3.847023</td>\n",
       "      <td>7.727764</td>\n",
       "      <td>24.923538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.904999</th>\n",
       "      <td>16.862743</td>\n",
       "      <td>9.459255</td>\n",
       "      <td>6.820462</td>\n",
       "      <td>5.741000</td>\n",
       "      <td>8.442631</td>\n",
       "      <td>9.297182</td>\n",
       "      <td>5.083235</td>\n",
       "      <td>11.063300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.909999</th>\n",
       "      <td>18.198648</td>\n",
       "      <td>6.118738</td>\n",
       "      <td>6.138318</td>\n",
       "      <td>3.671461</td>\n",
       "      <td>5.351561</td>\n",
       "      <td>5.617751</td>\n",
       "      <td>9.820251</td>\n",
       "      <td>15.973507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.914999</th>\n",
       "      <td>17.628141</td>\n",
       "      <td>4.098723</td>\n",
       "      <td>5.734029</td>\n",
       "      <td>5.325337</td>\n",
       "      <td>8.876813</td>\n",
       "      <td>8.340148</td>\n",
       "      <td>4.185632</td>\n",
       "      <td>14.518751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.919999</th>\n",
       "      <td>16.106918</td>\n",
       "      <td>8.694705</td>\n",
       "      <td>7.665401</td>\n",
       "      <td>3.046267</td>\n",
       "      <td>9.433850</td>\n",
       "      <td>3.693186</td>\n",
       "      <td>2.638145</td>\n",
       "      <td>10.160568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.924999</th>\n",
       "      <td>22.132022</td>\n",
       "      <td>3.352564</td>\n",
       "      <td>3.820942</td>\n",
       "      <td>8.583586</td>\n",
       "      <td>14.676308</td>\n",
       "      <td>5.993246</td>\n",
       "      <td>4.512143</td>\n",
       "      <td>8.790782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.929999</th>\n",
       "      <td>20.090515</td>\n",
       "      <td>6.624106</td>\n",
       "      <td>3.006618</td>\n",
       "      <td>8.786231</td>\n",
       "      <td>5.425789</td>\n",
       "      <td>10.154661</td>\n",
       "      <td>1.562028</td>\n",
       "      <td>4.758085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.934999</th>\n",
       "      <td>20.575428</td>\n",
       "      <td>8.255792</td>\n",
       "      <td>11.709662</td>\n",
       "      <td>7.499229</td>\n",
       "      <td>5.035801</td>\n",
       "      <td>8.143596</td>\n",
       "      <td>7.758758</td>\n",
       "      <td>5.102869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.939999</th>\n",
       "      <td>13.320476</td>\n",
       "      <td>6.177292</td>\n",
       "      <td>5.215289</td>\n",
       "      <td>9.193348</td>\n",
       "      <td>16.749693</td>\n",
       "      <td>9.175928</td>\n",
       "      <td>5.993246</td>\n",
       "      <td>7.641883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.944999</th>\n",
       "      <td>27.053644</td>\n",
       "      <td>7.345645</td>\n",
       "      <td>8.004887</td>\n",
       "      <td>7.615667</td>\n",
       "      <td>9.197698</td>\n",
       "      <td>9.123469</td>\n",
       "      <td>5.440513</td>\n",
       "      <td>13.281382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.949999</th>\n",
       "      <td>23.286583</td>\n",
       "      <td>9.401997</td>\n",
       "      <td>6.148085</td>\n",
       "      <td>4.436153</td>\n",
       "      <td>10.941512</td>\n",
       "      <td>5.574867</td>\n",
       "      <td>10.667560</td>\n",
       "      <td>13.067335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.954999</th>\n",
       "      <td>12.628364</td>\n",
       "      <td>4.935517</td>\n",
       "      <td>5.506283</td>\n",
       "      <td>8.024850</td>\n",
       "      <td>17.668937</td>\n",
       "      <td>10.749734</td>\n",
       "      <td>4.294122</td>\n",
       "      <td>14.270051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.959999</th>\n",
       "      <td>26.790671</td>\n",
       "      <td>11.258618</td>\n",
       "      <td>7.434949</td>\n",
       "      <td>8.997653</td>\n",
       "      <td>7.399897</td>\n",
       "      <td>9.674575</td>\n",
       "      <td>4.335836</td>\n",
       "      <td>8.039789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.965000</th>\n",
       "      <td>18.385609</td>\n",
       "      <td>5.535264</td>\n",
       "      <td>4.326601</td>\n",
       "      <td>7.833154</td>\n",
       "      <td>6.764520</td>\n",
       "      <td>7.386372</td>\n",
       "      <td>6.734890</td>\n",
       "      <td>6.639185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.970000</th>\n",
       "      <td>20.682072</td>\n",
       "      <td>7.345645</td>\n",
       "      <td>6.228878</td>\n",
       "      <td>7.224856</td>\n",
       "      <td>18.824191</td>\n",
       "      <td>6.016560</td>\n",
       "      <td>4.673264</td>\n",
       "      <td>14.704897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.975000</th>\n",
       "      <td>23.526679</td>\n",
       "      <td>5.114614</td>\n",
       "      <td>2.675780</td>\n",
       "      <td>8.569595</td>\n",
       "      <td>9.391355</td>\n",
       "      <td>10.673183</td>\n",
       "      <td>12.840382</td>\n",
       "      <td>13.366938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.980000</th>\n",
       "      <td>22.883738</td>\n",
       "      <td>9.734340</td>\n",
       "      <td>4.223684</td>\n",
       "      <td>8.713087</td>\n",
       "      <td>21.541288</td>\n",
       "      <td>8.173013</td>\n",
       "      <td>5.915998</td>\n",
       "      <td>7.402599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.985000</th>\n",
       "      <td>26.510007</td>\n",
       "      <td>6.340259</td>\n",
       "      <td>5.418412</td>\n",
       "      <td>10.027822</td>\n",
       "      <td>10.121124</td>\n",
       "      <td>6.752683</td>\n",
       "      <td>8.411780</td>\n",
       "      <td>1.754969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.990000</th>\n",
       "      <td>19.807804</td>\n",
       "      <td>4.874355</td>\n",
       "      <td>6.135059</td>\n",
       "      <td>11.057875</td>\n",
       "      <td>11.455844</td>\n",
       "      <td>5.219123</td>\n",
       "      <td>8.221808</td>\n",
       "      <td>11.331215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359.995000</th>\n",
       "      <td>23.455164</td>\n",
       "      <td>4.326601</td>\n",
       "      <td>4.009932</td>\n",
       "      <td>10.470767</td>\n",
       "      <td>8.560255</td>\n",
       "      <td>8.673979</td>\n",
       "      <td>10.359393</td>\n",
       "      <td>12.485018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360.000000</th>\n",
       "      <td>23.810591</td>\n",
       "      <td>7.615667</td>\n",
       "      <td>4.331221</td>\n",
       "      <td>10.017845</td>\n",
       "      <td>13.932502</td>\n",
       "      <td>6.477564</td>\n",
       "      <td>11.364700</td>\n",
       "      <td>8.231532</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6000 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    1          2          3          4          5          6  \\\n",
       "Time (s)                                                                       \n",
       "330.004583  10.742290   7.113269   7.138528  19.345015   5.399925   8.316134   \n",
       "330.009583   8.740588   9.028717   1.766328  19.815880   9.046421  12.372378   \n",
       "330.014584  13.696525  11.001665   4.677541  20.168012   6.505292   5.899071   \n",
       "330.019584   9.568566  17.759258   2.505958  15.447763   8.747450  12.049729   \n",
       "330.024584  17.951909   6.770430   2.842495  24.742332   2.408285   8.518097   \n",
       "330.029584  10.704990   9.858869   1.414194  19.047045   7.626164  11.599839   \n",
       "330.034584  13.618915   5.203772   1.939045  15.064982   7.429567  13.654114   \n",
       "330.039584   9.046421   8.364093   2.340907  15.730007   7.496562  13.620384   \n",
       "330.044584  11.677166  13.392349   3.452487  13.243683   7.717405   9.771251   \n",
       "330.049584  11.787966   5.720060   2.849522  12.338386  11.525464  15.760492   \n",
       "330.054584  12.008164   9.195523   2.638145  17.997528   4.907070  12.297797   \n",
       "330.059584  10.742290   8.657824   2.441277  10.003860  12.637862  13.137549   \n",
       "330.064584  14.143353   4.354248   3.111227   9.722005   9.279957  10.415229   \n",
       "330.069584   9.288574   8.328149   6.308636  11.528934   9.484593  13.857657   \n",
       "330.074584  16.162696   9.290727   3.059369  10.912227  10.442077  13.335481   \n",
       "330.079584   9.885205   5.440513   2.374835   9.267018  19.242394   9.202046   \n",
       "330.084585  14.539399   5.695533   3.521314   4.069341  18.510280  10.810955   \n",
       "330.089585  11.589490  11.606733   4.422607   7.873899   9.037573  13.748991   \n",
       "330.094585  17.104148   3.280198   2.599964   5.549698  10.759033  11.108401   \n",
       "330.099585  10.646917   1.469673   5.585618   6.852642  12.536173   9.933643   \n",
       "330.104585  11.622231   5.915998   4.142406   2.749507  10.057693   7.735524   \n",
       "330.109585  16.644287   8.912788   2.946143   1.232866  13.357958   6.489902   \n",
       "330.114585  13.684838   4.476544   3.583245   3.560849  16.681495   8.811234   \n",
       "330.119585  18.174455   6.678230   1.886770   8.325748  10.442077   4.931463   \n",
       "330.124585  12.473800   3.492801   1.939045   3.261856  10.759033   5.477150   \n",
       "330.129585  14.979779   5.172935   4.386282   4.967828  14.698095   6.477564   \n",
       "330.134585  15.151027   8.543885   5.003929   7.717405  12.216213   5.047702   \n",
       "330.139585  13.465324   5.868479   2.144731   0.000000  12.602999   8.279982   \n",
       "330.144585  15.885622   4.108471   3.638631   8.182795  18.279790   4.147231   \n",
       "330.149585  17.606572   8.091859   2.097589   6.228878   9.247574   5.134128   \n",
       "...               ...        ...        ...        ...        ...        ...   \n",
       "359.854998  20.708165   7.402599   5.095025   6.427974   4.103600   7.249727   \n",
       "359.859998  19.376005   3.458275   2.569011   7.539126   7.399897   7.443014   \n",
       "359.864998  22.579323  16.633470   6.199914   7.149726   9.143177   4.024866   \n",
       "359.869998  20.207639  10.057693   5.196080   9.801904   9.471933   2.349435   \n",
       "359.874998  17.808739  13.038224   4.886649   9.668371  14.150422   3.429238   \n",
       "359.879998  20.777584   3.903790   8.049733   5.440513   7.445701   5.314058   \n",
       "359.884998  23.782857   3.206199   2.999958   6.563444  14.654489   5.772268   \n",
       "359.889998  16.411963   5.418412   4.108471   3.826172  13.441539   5.786110   \n",
       "359.894999  20.353587   3.298439   9.641443   5.939614   9.391355   5.414719   \n",
       "359.899999  16.353366   3.117648   4.280127   5.075361   2.154036   3.847023   \n",
       "359.904999  16.862743   9.459255   6.820462   5.741000   8.442631   9.297182   \n",
       "359.909999  18.198648   6.118738   6.138318   3.671461   5.351561   5.617751   \n",
       "359.914999  17.628141   4.098723   5.734029   5.325337   8.876813   8.340148   \n",
       "359.919999  16.106918   8.694705   7.665401   3.046267   9.433850   3.693186   \n",
       "359.924999  22.132022   3.352564   3.820942   8.583586  14.676308   5.993246   \n",
       "359.929999  20.090515   6.624106   3.006618   8.786231   5.425789  10.154661   \n",
       "359.934999  20.575428   8.255792  11.709662   7.499229   5.035801   8.143596   \n",
       "359.939999  13.320476   6.177292   5.215289   9.193348  16.749693   9.175928   \n",
       "359.944999  27.053644   7.345645   8.004887   7.615667   9.197698   9.123469   \n",
       "359.949999  23.286583   9.401997   6.148085   4.436153  10.941512   5.574867   \n",
       "359.954999  12.628364   4.935517   5.506283   8.024850  17.668937  10.749734   \n",
       "359.959999  26.790671  11.258618   7.434949   8.997653   7.399897   9.674575   \n",
       "359.965000  18.385609   5.535264   4.326601   7.833154   6.764520   7.386372   \n",
       "359.970000  20.682072   7.345645   6.228878   7.224856  18.824191   6.016560   \n",
       "359.975000  23.526679   5.114614   2.675780   8.569595   9.391355  10.673183   \n",
       "359.980000  22.883738   9.734340   4.223684   8.713087  21.541288   8.173013   \n",
       "359.985000  26.510007   6.340259   5.418412  10.027822  10.121124   6.752683   \n",
       "359.990000  19.807804   4.874355   6.135059  11.057875  11.455844   5.219123   \n",
       "359.995000  23.455164   4.326601   4.009932  10.470767   8.560255   8.673979   \n",
       "360.000000  23.810591   7.615667   4.331221  10.017845  13.932502   6.477564   \n",
       "\n",
       "                    7          8  \n",
       "Time (s)                          \n",
       "330.004583   7.469836   8.404644  \n",
       "330.009583   5.789566   7.464479  \n",
       "330.014584   8.627742   5.083235  \n",
       "330.019584   5.134128  13.879288  \n",
       "330.024584   6.046403   3.394065  \n",
       "330.029584   6.968404  15.472341  \n",
       "330.034584   7.868817   1.886770  \n",
       "330.039584   9.709654  16.698271  \n",
       "330.044584   1.939045   4.617294  \n",
       "330.049584  10.516507   7.688846  \n",
       "330.054584   2.727598  10.869992  \n",
       "330.059584   8.199886  18.867700  \n",
       "330.064584   5.851414  14.053986  \n",
       "330.069584   7.520534   7.235921  \n",
       "330.074584   2.163301  19.622164  \n",
       "330.079584   4.123048   9.971822  \n",
       "330.084585   6.873041  21.520853  \n",
       "330.089585   5.817135   7.135726  \n",
       "330.094585   7.613041  10.353599  \n",
       "330.099585   6.393658  16.830690  \n",
       "330.104585   7.591996  15.408874  \n",
       "330.109585   4.009932  25.616826  \n",
       "330.114585   8.356917  16.809288  \n",
       "330.119585   7.028416  21.520853  \n",
       "330.124585   4.874355   7.249727  \n",
       "330.129585  10.556368   5.418412  \n",
       "330.134585   7.031261   6.434194  \n",
       "330.139585   9.055259  17.279806  \n",
       "330.144585   5.549698  18.336593  \n",
       "330.149585   7.051143  15.576690  \n",
       "...               ...        ...  \n",
       "359.854998   7.665401  22.990113  \n",
       "359.859998   3.280198   8.842954  \n",
       "359.864998   3.820942   8.002388  \n",
       "359.869998   4.902992   8.072062  \n",
       "359.874998   3.693186  19.911529  \n",
       "359.879998   6.867219  19.021828  \n",
       "359.884998   2.792809  12.244012  \n",
       "359.889998   3.255719  11.921244  \n",
       "359.894999   9.329393  20.971118  \n",
       "359.899999   7.727764  24.923538  \n",
       "359.904999   5.083235  11.063300  \n",
       "359.909999   9.820251  15.973507  \n",
       "359.914999   4.185632  14.518751  \n",
       "359.919999   2.638145  10.160568  \n",
       "359.924999   4.512143   8.790782  \n",
       "359.929999   1.562028   4.758085  \n",
       "359.934999   7.758758   5.102869  \n",
       "359.939999   5.993246   7.641883  \n",
       "359.944999   5.440513  13.281382  \n",
       "359.949999  10.667560  13.067335  \n",
       "359.954999   4.294122  14.270051  \n",
       "359.959999   4.335836   8.039789  \n",
       "359.965000   6.734890   6.639185  \n",
       "359.970000   4.673264  14.704897  \n",
       "359.975000  12.840382  13.366938  \n",
       "359.980000   5.915998   7.402599  \n",
       "359.985000   8.411780   1.754969  \n",
       "359.990000   8.221808  11.331215  \n",
       "359.995000  10.359393  12.485018  \n",
       "360.000000  11.364700   8.231532  \n",
       "\n",
       "[6000 rows x 8 columns]"
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "QoM_segmented[1][2] #Displaying QoM data for group 1, segment 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "L5qLeVgU9z4X"
   },
   "source": [
    "### Grouping data into Music and Silence conditions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "zAj1oSv69jtP"
   },
   "outputs": [],
   "source": [
    "#Odd segments are silence, even segments are music\n",
    "QoM_segmented_mus = {} #creating empty dictionaries for music and silence\n",
    "QoMX_segmented_mus = {}\n",
    "QoMY_segmented_mus = {}\n",
    "QoMZ_segmented_mus = {}\n",
    "\n",
    "QoM_segmented_sil = {}\n",
    "QoMX_segmented_sil = {}\n",
    "QoMY_segmented_sil = {}\n",
    "QoMZ_segmented_sil = {}\n",
    "\n",
    "QoM_smooth_segmented_mus = {}\n",
    "QoMX_smooth_segmented_mus = {}\n",
    "QoMY_smooth_segmented_mus = {}\n",
    "QoMZ_smooth_segmented_mus = {}\n",
    "\n",
    "QoM_smooth_segmented_sil = {}\n",
    "QoMX_smooth_segmented_sil = {}\n",
    "QoMY_smooth_segmented_sil = {}\n",
    "QoMZ_smooth_segmented_sil = {}\n",
    "\n",
    "\n",
    "for group_id in range(1,num_groups+1):\n",
    "  QoM_segmented_mus[group_id] = {} #creating empty dictionary for each group for both music and silence conditions\n",
    "  QoMX_segmented_mus[group_id] = {}\n",
    "  QoMY_segmented_mus[group_id] = {}\n",
    "  QoMZ_segmented_mus[group_id] = {}\n",
    "  \n",
    "  QoM_segmented_sil[group_id] = {}\n",
    "  QoMX_segmented_sil[group_id] = {}\n",
    "  QoMY_segmented_sil[group_id] = {}\n",
    "  QoMZ_segmented_sil[group_id] = {}\n",
    "  \n",
    "  QoM_smooth_segmented_mus[group_id] = {}\n",
    "  QoMX_smooth_segmented_mus[group_id] = {}\n",
    "  QoMY_smooth_segmented_mus[group_id] = {}\n",
    "  QoMZ_smooth_segmented_mus[group_id] = {}\n",
    "  \n",
    "  QoM_smooth_segmented_sil[group_id] = {}\n",
    "  QoMX_smooth_segmented_sil[group_id] = {}\n",
    "  QoMY_smooth_segmented_sil[group_id] = {}\n",
    "  QoMZ_smooth_segmented_sil[group_id] = {}\n",
    "  \n",
    "  k = 0\n",
    "  ksil=0\n",
    "  \n",
    "  for j in range (1,8,2):\n",
    "    QoM_segmented_sil[group_id][ksil] = QoM_segmented[group_id][j] #filling each participant's dictionary with odd segments (silence)\n",
    "    QoM_smooth_segmented_sil[group_id][ksil] = QoM_smooth_segmented[group_id][j]\n",
    "    \n",
    "    QoMX_segmented_sil[group_id][ksil] = QoMX_segmented[group_id][j] \n",
    "    QoMX_smooth_segmented_sil[group_id][ksil] = QoMX_smooth_segmented[group_id][j]\n",
    "    QoMY_segmented_sil[group_id][ksil] = QoMY_segmented[group_id][j] \n",
    "    QoMY_smooth_segmented_sil[group_id][ksil] = QoMY_smooth_segmented[group_id][j]\n",
    "    QoMZ_segmented_sil[group_id][ksil] = QoMZ_segmented[group_id][j] \n",
    "    QoMZ_smooth_segmented_sil[group_id][ksil] = QoMZ_smooth_segmented[group_id][j]\n",
    "    \n",
    "    ksil=ksil+1\n",
    "  for i in range (1,7,2):  \n",
    "    QoM_smooth_segmented_mus[group_id][k] = QoM_smooth_segmented[group_id][i+1]\n",
    "    QoM_segmented_mus[group_id][k] = QoM_segmented[group_id][i+1] #filling each participant's dictionary with even segments (music)\n",
    "     \n",
    "    QoMX_smooth_segmented_mus[group_id][k] = QoMX_smooth_segmented[group_id][i+1]\n",
    "    QoMX_segmented_mus[group_id][k] = QoMX_segmented[group_id][i+1] \n",
    "    QoMY_smooth_segmented_mus[group_id][k] = QoMY_smooth_segmented[group_id][i+1]\n",
    "    QoMY_segmented_mus[group_id][k] = QoMY_segmented[group_id][i+1] \n",
    "    QoMZ_smooth_segmented_mus[group_id][k] = QoMZ_smooth_segmented[group_id][i+1]\n",
    "    QoMZ_segmented_mus[group_id][k] = QoMZ_segmented[group_id][i+1] \n",
    "    k=k+1\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "collapsed": true,
    "id": "pQ5K7lLL2Gmw"
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Time (s)</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <td>4.690351</td>\n",
       "      <td>8.138683</td>\n",
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       "      <td>5.895679</td>\n",
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       "      <td>7.121699</td>\n",
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       "      <td>8.126387</td>\n",
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       "      <td>5.546093</td>\n",
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       "      <td>4.686085</td>\n",
       "      <td>4.766484</td>\n",
       "      <td>7.048306</td>\n",
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       "    <tr>\n",
       "      <th>30.115418</th>\n",
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       "      <td>6.563444</td>\n",
       "      <td>8.496940</td>\n",
       "      <td>3.026507</td>\n",
       "      <td>4.870251</td>\n",
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       "    <tr>\n",
       "      <th>30.120418</th>\n",
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       "      <td>13.393842</td>\n",
       "      <td>1.428266</td>\n",
       "      <td>1.019790</td>\n",
       "      <td>4.199942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.125418</th>\n",
       "      <td>3.778836</td>\n",
       "      <td>12.204748</td>\n",
       "      <td>1.077018</td>\n",
       "      <td>2.835450</td>\n",
       "      <td>5.571278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.130418</th>\n",
       "      <td>11.072335</td>\n",
       "      <td>5.744483</td>\n",
       "      <td>4.753880</td>\n",
       "      <td>1.854698</td>\n",
       "      <td>6.112198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.135419</th>\n",
       "      <td>8.160769</td>\n",
       "      <td>5.340338</td>\n",
       "      <td>10.697515</td>\n",
       "      <td>4.967828</td>\n",
       "      <td>8.503999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.140419</th>\n",
       "      <td>4.686085</td>\n",
       "      <td>9.175928</td>\n",
       "      <td>2.630553</td>\n",
       "      <td>3.773540</td>\n",
       "      <td>3.136834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.145419</th>\n",
       "      <td>5.079299</td>\n",
       "      <td>8.062146</td>\n",
       "      <td>5.635523</td>\n",
       "      <td>2.441277</td>\n",
       "      <td>4.093841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.851248</th>\n",
       "      <td>15.682894</td>\n",
       "      <td>2.545549</td>\n",
       "      <td>12.084533</td>\n",
       "      <td>12.762268</td>\n",
       "      <td>7.348367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.856248</th>\n",
       "      <td>21.504119</td>\n",
       "      <td>6.563444</td>\n",
       "      <td>6.743792</td>\n",
       "      <td>6.292766</td>\n",
       "      <td>6.708111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.861248</th>\n",
       "      <td>16.785475</td>\n",
       "      <td>6.393658</td>\n",
       "      <td>7.079450</td>\n",
       "      <td>12.669473</td>\n",
       "      <td>5.730540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.866248</th>\n",
       "      <td>17.474310</td>\n",
       "      <td>12.122538</td>\n",
       "      <td>10.945167</td>\n",
       "      <td>9.404124</td>\n",
       "      <td>3.078918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.871248</th>\n",
       "      <td>11.808308</td>\n",
       "      <td>7.011322</td>\n",
       "      <td>2.835450</td>\n",
       "      <td>4.029832</td>\n",
       "      <td>9.408376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.876248</th>\n",
       "      <td>12.816998</td>\n",
       "      <td>5.827440</td>\n",
       "      <td>9.662164</td>\n",
       "      <td>11.506360</td>\n",
       "      <td>7.725176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.881248</th>\n",
       "      <td>28.281757</td>\n",
       "      <td>5.003929</td>\n",
       "      <td>10.233137</td>\n",
       "      <td>8.185239</td>\n",
       "      <td>5.344081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.886248</th>\n",
       "      <td>17.377906</td>\n",
       "      <td>5.716563</td>\n",
       "      <td>6.415517</td>\n",
       "      <td>14.903484</td>\n",
       "      <td>8.758874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.891248</th>\n",
       "      <td>14.903484</td>\n",
       "      <td>6.651223</td>\n",
       "      <td>13.010584</td>\n",
       "      <td>10.744152</td>\n",
       "      <td>5.287648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.896249</th>\n",
       "      <td>8.243671</td>\n",
       "      <td>7.087920</td>\n",
       "      <td>7.008469</td>\n",
       "      <td>8.560255</td>\n",
       "      <td>4.816571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.901249</th>\n",
       "      <td>29.700093</td>\n",
       "      <td>0.916502</td>\n",
       "      <td>8.279982</td>\n",
       "      <td>9.655952</td>\n",
       "      <td>7.378244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.906249</th>\n",
       "      <td>9.511965</td>\n",
       "      <td>7.113269</td>\n",
       "      <td>8.768002</td>\n",
       "      <td>14.319019</td>\n",
       "      <td>5.403627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.911249</th>\n",
       "      <td>22.909942</td>\n",
       "      <td>9.734340</td>\n",
       "      <td>10.394085</td>\n",
       "      <td>10.461212</td>\n",
       "      <td>4.686085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.916249</th>\n",
       "      <td>16.839006</td>\n",
       "      <td>3.693186</td>\n",
       "      <td>11.434875</td>\n",
       "      <td>10.266308</td>\n",
       "      <td>9.593615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.921249</th>\n",
       "      <td>20.432044</td>\n",
       "      <td>7.972342</td>\n",
       "      <td>11.745474</td>\n",
       "      <td>77.305847</td>\n",
       "      <td>5.976538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.926249</th>\n",
       "      <td>15.478803</td>\n",
       "      <td>3.033108</td>\n",
       "      <td>6.884670</td>\n",
       "      <td>60.923369</td>\n",
       "      <td>3.405830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.931249</th>\n",
       "      <td>30.048875</td>\n",
       "      <td>4.824868</td>\n",
       "      <td>9.937669</td>\n",
       "      <td>7.031261</td>\n",
       "      <td>3.594390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.936249</th>\n",
       "      <td>21.440784</td>\n",
       "      <td>7.634028</td>\n",
       "      <td>9.997861</td>\n",
       "      <td>72.621302</td>\n",
       "      <td>10.063657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.941249</th>\n",
       "      <td>29.007182</td>\n",
       "      <td>6.933878</td>\n",
       "      <td>10.217490</td>\n",
       "      <td>7.002759</td>\n",
       "      <td>8.163219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.946249</th>\n",
       "      <td>26.854794</td>\n",
       "      <td>4.608623</td>\n",
       "      <td>10.225316</td>\n",
       "      <td>11.095791</td>\n",
       "      <td>7.581451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.951249</th>\n",
       "      <td>30.521044</td>\n",
       "      <td>3.187431</td>\n",
       "      <td>10.250711</td>\n",
       "      <td>9.158475</td>\n",
       "      <td>7.090741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.956249</th>\n",
       "      <td>28.945064</td>\n",
       "      <td>7.735524</td>\n",
       "      <td>11.271046</td>\n",
       "      <td>7.022722</td>\n",
       "      <td>3.059369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.961249</th>\n",
       "      <td>17.688169</td>\n",
       "      <td>4.608623</td>\n",
       "      <td>10.751595</td>\n",
       "      <td>8.975398</td>\n",
       "      <td>9.204219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.966250</th>\n",
       "      <td>29.367602</td>\n",
       "      <td>5.283865</td>\n",
       "      <td>11.081362</td>\n",
       "      <td>8.442631</td>\n",
       "      <td>7.312901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.971250</th>\n",
       "      <td>25.713452</td>\n",
       "      <td>5.440513</td>\n",
       "      <td>10.178267</td>\n",
       "      <td>9.024286</td>\n",
       "      <td>4.943614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.976250</th>\n",
       "      <td>26.791418</td>\n",
       "      <td>5.895679</td>\n",
       "      <td>11.969796</td>\n",
       "      <td>9.134423</td>\n",
       "      <td>10.818352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.981250</th>\n",
       "      <td>24.390643</td>\n",
       "      <td>1.183200</td>\n",
       "      <td>9.288574</td>\n",
       "      <td>61.439524</td>\n",
       "      <td>12.840382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.986250</th>\n",
       "      <td>40.306760</td>\n",
       "      <td>6.318140</td>\n",
       "      <td>9.808024</td>\n",
       "      <td>8.912788</td>\n",
       "      <td>5.926131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.991250</th>\n",
       "      <td>25.743768</td>\n",
       "      <td>9.628989</td>\n",
       "      <td>14.006946</td>\n",
       "      <td>70.363787</td>\n",
       "      <td>7.280009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89.996250</th>\n",
       "      <td>25.003652</td>\n",
       "      <td>10.019841</td>\n",
       "      <td>10.199858</td>\n",
       "      <td>59.725547</td>\n",
       "      <td>8.492232</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12000 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   1          2          3          4          5\n",
       "Time (s)                                                        \n",
       "30.000417   3.376342   4.673264   8.325748   7.045468   2.653263\n",
       "30.005417   5.491736   6.232088   6.796964   8.199886   3.867762\n",
       "30.010417  13.548243   8.527484  10.019841   7.840809   1.280607\n",
       "30.015417   5.295207   3.224858   8.153414   5.617751   6.076099\n",
       "30.020417   4.386282   5.003929   2.374835   7.249727   5.249689\n",
       "30.025417  13.024411   6.936762  14.462164   7.769062   3.376342\n",
       "30.030417   1.886770   7.467158   3.429238   5.477150   3.944562\n",
       "30.035417   3.757607   3.714784   9.674575   6.794021   8.883570\n",
       "30.040417  11.539337   6.514509   6.731920   7.845909   7.124506\n",
       "30.045417   6.462108   6.033157   9.140989   5.768802   2.999958\n",
       "30.050417   7.188780   4.161673   9.004318   4.690351   8.138683\n",
       "30.055417  11.706246  11.399842   2.814210   5.895679   2.561214\n",
       "30.060418   8.508701   7.954762   4.766484   7.121699   3.693186\n",
       "30.065418   9.505656   6.449717   5.692021   2.835450   4.093841\n",
       "30.070418  14.725284   3.810459   1.886770   7.304691   8.126387\n",
       "30.075418  16.895919   6.327629  13.347474   5.817135   9.484593\n",
       "30.080418  11.653164   5.134128   7.820377   4.745458   5.695533\n",
       "30.085418   9.520372   4.489927   5.161323   4.386282   0.663316\n",
       "30.090418   8.496940   7.573533   9.204219   3.231054   1.979871\n",
       "30.095418   7.719996   5.610626   3.924229   2.939347   3.111227\n",
       "30.100418   7.934624   6.377999   3.687767   5.628421   5.617751\n",
       "30.105418  11.133578   6.327629   7.467158   4.069341   5.546093\n",
       "30.110418   7.135726   8.004887   4.686085   4.766484   7.048306\n",
       "30.115418   9.553924   6.563444   8.496940   3.026507   4.870251\n",
       "30.120418   4.999931  13.393842   1.428266   1.019790   4.199942\n",
       "30.125418   3.778836  12.204748   1.077018   2.835450   5.571278\n",
       "30.130418  11.072335   5.744483   4.753880   1.854698   6.112198\n",
       "30.135419   8.160769   5.340338  10.697515   4.967828   8.503999\n",
       "30.140419   4.686085   9.175928   2.630553   3.773540   3.136834\n",
       "30.145419   5.079299   8.062146   5.635523   2.441277   4.093841\n",
       "...              ...        ...        ...        ...        ...\n",
       "89.851248  15.682894   2.545549  12.084533  12.762268   7.348367\n",
       "89.856248  21.504119   6.563444   6.743792   6.292766   6.708111\n",
       "89.861248  16.785475   6.393658   7.079450  12.669473   5.730540\n",
       "89.866248  17.474310  12.122538  10.945167   9.404124   3.078918\n",
       "89.871248  11.808308   7.011322   2.835450   4.029832   9.408376\n",
       "89.876248  12.816998   5.827440   9.662164  11.506360   7.725176\n",
       "89.881248  28.281757   5.003929  10.233137   8.185239   5.344081\n",
       "89.886248  17.377906   5.716563   6.415517  14.903484   8.758874\n",
       "89.891248  14.903484   6.651223  13.010584  10.744152   5.287648\n",
       "89.896249   8.243671   7.087920   7.008469   8.560255   4.816571\n",
       "89.901249  29.700093   0.916502   8.279982   9.655952   7.378244\n",
       "89.906249   9.511965   7.113269   8.768002  14.319019   5.403627\n",
       "89.911249  22.909942   9.734340  10.394085  10.461212   4.686085\n",
       "89.916249  16.839006   3.693186  11.434875  10.266308   9.593615\n",
       "89.921249  20.432044   7.972342  11.745474  77.305847   5.976538\n",
       "89.926249  15.478803   3.033108   6.884670  60.923369   3.405830\n",
       "89.931249  30.048875   4.824868   9.937669   7.031261   3.594390\n",
       "89.936249  21.440784   7.634028   9.997861  72.621302  10.063657\n",
       "89.941249  29.007182   6.933878  10.217490   7.002759   8.163219\n",
       "89.946249  26.854794   4.608623  10.225316  11.095791   7.581451\n",
       "89.951249  30.521044   3.187431  10.250711   9.158475   7.090741\n",
       "89.956249  28.945064   7.735524  11.271046   7.022722   3.059369\n",
       "89.961249  17.688169   4.608623  10.751595   8.975398   9.204219\n",
       "89.966250  29.367602   5.283865  11.081362   8.442631   7.312901\n",
       "89.971250  25.713452   5.440513  10.178267   9.024286   4.943614\n",
       "89.976250  26.791418   5.895679  11.969796   9.134423  10.818352\n",
       "89.981250  24.390643   1.183200   9.288574  61.439524  12.840382\n",
       "89.986250  40.306760   6.318140   9.808024   8.912788   5.926131\n",
       "89.991250  25.743768   9.628989  14.006946  70.363787   7.280009\n",
       "89.996250  25.003652  10.019841  10.199858  59.725547   8.492232\n",
       "\n",
       "[12000 rows x 5 columns]"
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "QoM_segmented_mus[1][0] #Smoothed Group1 music segment0 (1st stimuli segment)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Abv-1dG82nRW"
   },
   "source": [
    "### Mean QoM for each segment for each participant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "T-KdEZDl2LTF"
   },
   "outputs": [],
   "source": [
    "# Mean QoM for each participant in each group for each segment\n",
    "\n",
    "Mean_QoM_segm = {}    \n",
    "\n",
    "for qoms_group in range(1,num_groups+1):\n",
    "    Mean_QoM_segm[qoms_group] = {}\n",
    "    \n",
    "    for i in range(1,len(QoM_segmented[qoms_group]) + 1):\n",
    "       Mean_QoM_segm[qoms_group][i] = (QoM_segmented[qoms_group][i].mean())\n",
    "       "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "M6tfE3UA2vgz"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    8.938577\n",
       "2    6.647966\n",
       "3    8.345877\n",
       "4    5.079588\n",
       "5    6.867002\n",
       "dtype: float64"
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Mean_QoM_segm[1][5] #Displaying mean QoM for participants in group 1, 5th segment (Silence 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "CtKc34qd3pzy"
   },
   "source": [
    "### Sorting Music data by Stimuli"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "OexA40w13w48"
   },
   "outputs": [],
   "source": [
    "## Function to assign segments to stimuli based on the order of presentation for each group\n",
    "\n",
    "def sort_stimuli(songorder,data):\n",
    "   \n",
    "    sorted_stimuli = {}\n",
    "    song = 0\n",
    "    while song <= len(songorder.columns)-1:\n",
    "        \n",
    "            if songorder.iloc[0][song] == 1:\n",
    "                       sorted_stimuli[1] = data[song]\n",
    "                       song = song+1\n",
    "            elif songorder.iloc[0][song] == 2:\n",
    "                       sorted_stimuli[2] = data[song]\n",
    "                       song = song+1\n",
    "            elif songorder.iloc[0][song] == 3:\n",
    "                       sorted_stimuli[3] = data[song]\n",
    "                       song = song+1\n",
    "            \n",
    "    return sorted_stimuli"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "56FqBzaZ4VCY"
   },
   "outputs": [],
   "source": [
    "## Running stimuli sorting function for full Music data from all groups\n",
    "QoM_segmented_sort_mus = {}\n",
    "QoMX_segmented_sort_mus = {}\n",
    "QoMY_segmented_sort_mus = {}\n",
    "QoMZ_segmented_sort_mus = {}\n",
    "\n",
    "QoM_smooth_segmented_sort_mus = {}\n",
    "QoMX_smooth_segmented_sort_mus = {}\n",
    "QoMY_smooth_segmented_sort_mus = {}\n",
    "QoMZ_smooth_segmented_sort_mus = {}\n",
    "\n",
    "\n",
    "for group_id in range(1,num_groups+1):  \n",
    "    QoM_segmented_sort_mus[group_id] = sort_stimuli(nm17songorder[group_id-1:group_id],QoM_segmented_mus[group_id])\n",
    "    QoMX_segmented_sort_mus[group_id] = sort_stimuli(nm17songorder[group_id-1:group_id],QoMX_segmented_mus[group_id])\n",
    "    QoMY_segmented_sort_mus[group_id] = sort_stimuli(nm17songorder[group_id-1:group_id],QoMY_segmented_mus[group_id])\n",
    "    QoMZ_segmented_sort_mus[group_id] = sort_stimuli(nm17songorder[group_id-1:group_id],QoMZ_segmented_mus[group_id])\n",
    "    \n",
    "    QoM_smooth_segmented_sort_mus[group_id] = sort_stimuli(nm17songorder[group_id-1:group_id],QoM_smooth_segmented_mus[group_id])\n",
    "    QoMX_smooth_segmented_sort_mus[group_id] = sort_stimuli(nm17songorder[group_id-1:group_id],QoMX_smooth_segmented_mus[group_id])\n",
    "    QoMY_smooth_segmented_sort_mus[group_id] = sort_stimuli(nm17songorder[group_id-1:group_id],QoMY_smooth_segmented_mus[group_id])\n",
    "    QoMZ_smooth_segmented_sort_mus[group_id] = sort_stimuli(nm17songorder[group_id-1:group_id],QoMZ_smooth_segmented_mus[group_id])\n",
    "    \n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "collapsed": true,
    "id": "VJRZdHSQ4XXX"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Time (s)\n",
       "270.003750     8.669697\n",
       "270.008750     8.758556\n",
       "270.013750     8.835091\n",
       "270.018750     8.919675\n",
       "270.023750     8.979205\n",
       "270.028750     9.078700\n",
       "270.033750     9.176697\n",
       "270.038751     9.271615\n",
       "270.043751     9.348912\n",
       "270.048751     9.432597\n",
       "270.053751     9.532432\n",
       "270.058751     9.622942\n",
       "270.063751     9.709319\n",
       "270.068751     9.797973\n",
       "270.073751     9.881962\n",
       "270.078751     9.966376\n",
       "270.083751    10.047690\n",
       "270.088751    10.109142\n",
       "270.093751    10.202219\n",
       "270.098751    10.266906\n",
       "270.103751    10.341277\n",
       "270.108752    10.396758\n",
       "270.113752    10.447490\n",
       "270.118752    10.502413\n",
       "270.123752    10.546929\n",
       "270.128752    10.617495\n",
       "270.133752    10.657916\n",
       "270.138752    10.694147\n",
       "270.143752    10.730775\n",
       "270.148752    10.755179\n",
       "                ...    \n",
       "329.854581     6.716671\n",
       "329.859581     6.708282\n",
       "329.864581     6.714415\n",
       "329.869582     6.716312\n",
       "329.874582     6.744134\n",
       "329.879582     6.734403\n",
       "329.884582     6.699863\n",
       "329.889582     6.747933\n",
       "329.894582     6.722433\n",
       "329.899582     6.742771\n",
       "329.904582     6.725375\n",
       "329.909582     6.741073\n",
       "329.914582     6.741897\n",
       "329.919582     6.737961\n",
       "329.924582     6.698355\n",
       "329.929582     6.720517\n",
       "329.934582     6.722107\n",
       "329.939582     6.725643\n",
       "329.944583     6.717709\n",
       "329.949583     6.687748\n",
       "329.954583     6.671336\n",
       "329.959583     6.695216\n",
       "329.964583     6.674049\n",
       "329.969583     6.673718\n",
       "329.974583     6.660205\n",
       "329.979583     6.661765\n",
       "329.984583     6.644400\n",
       "329.989583     6.603605\n",
       "329.994583     6.603436\n",
       "329.999583     6.606718\n",
       "Name: 2, dtype: float64"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "QoM_smooth_segmented_sort_mus[2][3][2] #Sorted stimuli: smooth QoM data for Group 2, Stimuli 3, Participant 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "rwF9LYuF45xd"
   },
   "source": [
    "## Plotting segmented QoM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 723
    },
    "colab_type": "code",
    "id": "Ll-uRm2F4-qW",
    "outputId": "4ec7a591-6fe4-4bf5-9307-e88545afd866"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Hm266CRUVFZg9ezZuvfVWrF+/Hj169MCUKVPsrqdEYgr56JEECpYgkpYkf1EUDjFJdJ2k\nSDLOzp07MWvWLHz55ZdITU01VUZFRYXPa3LV+EqCHieq++KKnQw/cADlioJLLhf+lJYW6upcMdAL\nGGrffOGFFzB9+nS0adMGS5Ys8RpI5syZg9jYWNSuXRuRkZGIj49nljto0CAMHz4cHTt2xG233Ya4\nuDiMGzcOCQkJGD16NNLT0wP+2axgypK0Y8cOvPPOO7j++uuRmJiIwsJCjB07Fi1atMATTzyB8ePH\n211PicQUcoVOEiikJYmNX+IGC/Wxi3B0AaxOnDlzBmvWrPG+/u677zBp0iTD5dDudfTE7EpBWpL4\nFBEC8kgNcsdUFAV/TE1FUmEhZnXqhKkJCUyrzsGDB7F4wwbv69tuuw0D+/YNeP3oBQvy9fDhwzF8\n+HAUFBRg27Zt+P777zF16lS0b99et9zWrVt7/46JiUGLFi18XtMLJ+GGKUtSZWUl6tevDwDYtGkT\nateujeuvvx7A5S9W7o0kCReq95RVEs5UV5GUlZWFKVOmeAPoSUIdk+RWFCQXFdlufZKWJGvMnj3b\nlnISExN9Xl+plqSauBF1IIgKE3dMO7Yx2FlQgDlnzmBfURFu2rOHfy+qLWRmZvqdc+zYMaxbtw4X\nL160XC8Vui96PB4cOXIE77zzjvdYvXr1MGzYMHz11Vfo3r078xlCExER4fOa52LLct8Nh/HBVAvs\n2rUrfvjhB+zfvx8rV67EzTffjMjISFy8eBFffPEFunfvbnc9JRJTWBnaNl68iEF792JqRoZt9ZHU\nHKqru92XX36J0tJS/Pzzz969LlRocWKm/1RaiP9psnUreiYlIW7zZhN35iMtSdagJzpmOX36tM/r\nK9WSRIskaUliEw6uuhsvXkTEpk1wbNzoF9tohC35+ULn0c+VY8eO+bwuLCzE/PnzsX37dqxevdp0\nfWhYLqButxtz587Fvn37fN5zOByoW7cuGjVqZNtm4VFRUQAu77ukkpWVZUvZVjAlkv785z9j8+bN\neOihh6AoCl544QUAwIgRI3DixAlMnDjR1kpKJKHg1v37sTk/H39JT8chouNKJED1tSSR0A8hVu2N\nTuDMCpJyjwcXqlYOyzwelNkoOKVIskabNm1sKadHjx4+r8NhpTgUyOx2YlwKg/YxJDnZ+/czR48G\n/H56beHgwYPev2kBZQWWJalbt2649dZbMW7cOCxduhSZmZk4cOAApk+fjsOHD+OBBx5A7dq1kZub\ny7R4GeHqq69GbGwsPv/8c2RmZuLrr79GSkqKpTLtwJRI6tmzJ3755Rd8//33WL9+PRKq/Co/+OAD\nrF69Wma2k4QNZlfoTlKZXlKkSJJQ1IQU4LSFgLVya3T6ZnYz2Y8pwVZm48RRiiRr2LVaHOo9YMIF\naUkSo30YZLYjXXW/zckx/VuJXqVXvpoy225YIgkAPvroIzz44IP4/PPPMWLECDz55JNITU3FvHnz\n0KxZMwwZMgROpxMjR47080wwQlxcHP7xj39g9erVGDlyJA4ePIixY8da+kx2IJy4YdSoURg4cCD6\n9++P6667DnFxcejZs6fPOQMHDrS9ghKJFcxOs85SwYTRYeIbLQkfaoIlyW9Fm/WZFAURBibJZgXJ\naydO+Ly2c/osRZI17BJJdJB2desvdiFFkhjhuIHHotxcjDaxKb3oYhHdJ8jEBwBw4cIFw/cWgSeS\nYmNjMWHCBEyYMIF5XatWrbBu3Trv6/Xr13v/njt3rs+5L730ks/rQYMG+ViL7r77btx9993M+4wf\nP96bFO6+++7Dfffdp/eRbEF45jd+/HgUFRXhjTfewI033ohnn30Wc+fOxQnqwSaRhBNmHz30pLCu\nTT75kppDsESSx+PBqVOnghK/wRImRj+R2SQJzaiEP3YKGStxUhL79jOiRdKVKg6ku50YdolzO1l+\n/ryp65YJXqfXNq6++mpT99dDpqVnI2xJuv3223H77bcDADIyMrB582Zs2bIF06dPR4MGDTBgwAAM\nGDAA/fr1Q1xcXMAqLJEYQeshfKqsDL8/cgSNIyPxbZcuqE0IIXoglJMqCU2wEjcsW7YMBw4cQLNm\nzfDHP/7R0sRBbwWb6W4XpJikh5s0wVTCr93OoG1pSbKGXbEPUhxcRlqSqi9GrOokv4uLw87CQt3z\n6D5BP1MCJRylSGJjap+kNm3a4LHHHsNjjz0Gl8uF3bt3Y+vWrZg1axZefvlldO/eHd99953ddZVI\nDKP16Om2axeKqwaCVunp+IhYodldVORzrpxUSWiCZUk6cOAAAODs2bO4ePEiGjVqZLosvQch093O\n4D3MCpKGkb6PIzv7nJ0iSVEUlHs8iL1CrMt2uvfI/YEuI1OAixF+diTzdbq6Vi2h8/Ti9lh9yA7h\nJBcw2JgSST4FREaiT58+6NOnD15++WVcuHABW7ZssaNuEolltB7BxcQgMCM720ck0QMV7UIkkQQj\ncYPdk0i9VUqmu51FS5KoRajC5HVm6mRWJLk8HgzYuxeHSkrw3y5dcM9VV9lRvbDGzs0er3SRlJKS\ngvT0dOTm5vocv9K+B1HsEEmKouBgcTGurlXLloUNs5YkUfTGaNb5dqTol5YkNqZF0v79+7F//34U\nFBTYWR+JxFbMPnr61q+PtcRGbdKSVLOwY/UtGJYkOpjW6mSKfhCuXLkSPXv29O5RYUd2O7MxSYGM\nG7JLJH159qzXZWYUkYp3RseOmNCqlfkKhhi7VqP1uJJXq4uLi7Fw4ULme1IkBY5hyclYV/Usrxg0\nyPIGtVEm+wl91a6CAtxYr57feXoiiWVpskMkXcl9UwtTImn27NmYPn06nE4nateu7fe+w+HAuHHj\nLFdOIrGK6MMnhhr4ZKB3zcTtdnt3EB86dChuuukm02UFIyaJFklWy2ddv23bNtx8880A+NntjGBW\nkATSkmRWuNEcp7YGUHkxLa3aiqSsrCwsWrQIjRo1wmOPPeY34bJzAn8lW5K0klxdSd+DEeyQ7euI\nxc7XT5zAB1Vb1pjFqshS6bNnD5RbbvE7ridW6NculwvRVNIbM0hLEhtTIunbb7/Fvffei7feesuW\nH0ciCRSi3bycekjREzYpkmoGpCvw2rVrLYmkYFiS/NzhLIqkYsZ+XxkZGb+Vz7jGaMs3K5JoIROO\nKcDDMUbCKosXL0Z+fj7y8/OxY8cO9O/fX/cas9nuruTVaq2Nc6VIYmO3dfN/eXnWRZLJOplNAa6X\n5CM1NRW9evUyVSet+15JfVMLUyNdeXk57rrrLimQJGGP2UdPBTVA0JYlSfXk0qVLtpUVCnc7qyIp\nMtJ/XYyc8NphSfITO6KWpCC72ymKgs9Pn8br6eko0pjAktREkUT2iSxqQ18eZievV7IlSUskyQlp\ncBjcsKHlMiJNtn3R8UwvqQf9evny5abqQyMtSWxMiaR77rkHK1assLUiFRUVGDlyJLZt2+Y9dunS\nJUyYMAG9e/fGbbfdhqVLl9p6T8mVy9b8fL9jZ8vLvX9LS1LNJNbGHdyDkbjBbpHEevCRIsmOmKTd\nVJpb05akAIukbQUFeDY1Fe9mZGDi8eNC5YTjvi12IhrbQLaZiooK7N6928ciyUOKJDZX0vcQSprY\nsLBv1pIkmvxJr4/Q7zdo0MBUffTuK0XSZUy5202cOBGjRo3C0KFD0bVrV7+Jh8PhwHvvvSdcXnl5\nOSZOnOi3F8Pf/vY3lJSUYMGCBThw4ADefPNNtG3bFr179zZTbYnEy2fZ2X7H9hQVYXhMDIDArmpL\nQoddm2IC7IeIx+PBxYsXsXbtWtSrVw933nmnpYl1MEQSWT87stvRCMckBdmS9COxF9rsM2fweefO\nuuXUbInEFoF6k6VNmzZh27ZtcDgcePHFF1G/fn3uuVfyREzGJBnH7v5m58KLUUTHM70+QreVLl26\nWKtYFdKSxMaUSJoyZQpOnTqF+Ph4Zsc3MilIS0vDxIkT/X74jIwMbNiwAevWrUPbtm3RuXNn7N27\nF/Pnz5ciSWKZYY0aYd65cz7HmlRl+AL8LUl/SU/Hsy1bBqVu4Up2djbS09PRr18/W7LpVHdYExtF\nUbBy5Uocr7JMNG/eHNdee63pe9gtklh11nW3M3iP5tRq7SVBV7ZgW5IyCcuxKPZJbPNcqqzE+xkZ\n6FS7Np5q3jzg92O1mShirFS9PxRFQVJSknfTeRZXsiUpPj4eqampzPeupO8hlNgx7Tc7LtklkujX\nderUMVUfo/e9UjElklasWIHx48fjhRdesFyBXbt2oU+fPnjppZd8gs/279+P+Ph4tG3b1nvsuuuu\nw8yZMy3fU3JlQkr3WoxJPjn9pFe1C91uHCouRjebBqTqRl5eHubMmQMAWL9+PSZNmhTiGpnDTncp\nnkg6TrhuJScnWxJJdidu0LUk2RCTVELdY39xMXIrKhCv4+piVwY60bLNtIRwcLe7fvduHC8rAwAk\nxMbiFhviLFQuEpnAVFhtpqSkhHl9ZWWlZvlX8kRMq+9KkXQZOvY3HC1JZkdgUXc7vUQNgdqI+Eru\nm1qYWhiLjo62zZrz6KOP4rXXXkMtajfi3NxcNGnSxOdY48aNcfbsWVvuK6n50IMJOeCyJn7kAMoa\n0DbbGPQfSi5WVmJ1Xh5cBgbBr7/+OoA1qp7wRJKd0JYkqw8uvZgkVulG71jAsBz949Qp3esWUhts\nWpnQVHg8PvVgWZKcJgSP1hVW3RJFUQUSANy6f7+tZWdnZ2PNmjU+x3ht+jzhrihKdbIkHThwABs2\nbOAKQqNo9V2z/fpEaSkcGzfCsXEjCgUttuHMYJvbM42ZMeUqwmoKWNiIOkCWJLvEjHS3Y2NKJN1/\n//349ttvbd2Jm6a0tNQve150dDQqKyvDemCVhA/0oOTBbw9l1oDl0hFJ4bCKbJVitxuNtm7F8AMH\nEJWYKHzdVVddFcBaBQ87f0PWQ8RPmFu8X9BjkmywJL3HCODPMuHaZvaTHispQUxiIupv2YJ5OTkA\n2CLJlCVJ471ymycVIpPeZgHIMLtz506f17zn7YULF/yO6U2sqstqdVZWFpYsWYLExESfbQOsEIjE\nDR2I36qeTfUMJZuohEp2xxCZaW20z0mw3e2kJSm0mHK3q6iowK5duzBw4EB06tTJzyfS4XDgs88+\ns1SxmJgYPxFWUVGB2NjYGjFZlVjnRGkpWsbEIJoTjE/HFQGXB6ooh4M50OlZksIhHsEq6xnuNCK0\nb98epwSsAVcSIpYkq4kiaPen6pDdjoWZtLlmV2xv3bfP+/fjhw/jsaZN/cqq9HhstySVezxMN14z\njD92DJ9kZ+P5Fi3waadO3PNutSmzlRa8yZKZtl1dLEmkUNy+fTuGDBliuUzpbmccqy639AKPma08\n6CvMiiQr7naKonjnvdKSFFxMPcEPHz6Mrl27olPV4F1cXOzzr6ioyHLFmjZt6mfOP3/+POLj4y2X\nLan+TMvMRIedO9Fm+3buCi5rQFQHKtbjyseSxJpM1gBxTg/wolaCmpKoIRgxSXbej47xCLQlielu\nZ2BSwJvsmfkWzE5GChjfEdPdjjpHxHKj9XvSG1KbxaMo+KQq++bM06c162U2HbEWtPjh/aZmxoTq\nIpICQTBSgH+SlYU5p08HzfUz0FjdUIEWJmb6KP1dBtvdDvBtH9KSFFxMWZLmzp1rdz386NWrF3Jy\ncpCVlYVWrVoBAHbv3o2ePXsG/N6S8OeVquD4nMpKTM3IwOvt2vmdw7IkeUWSCUuSaJaucIZ+SFxy\nudCI8rlmUVNEEg25QmfmWr1jVkUSbaUvLi62VJ4ZSxLr0f5SWhqW5Obiw4QEjCZiR0VXS1lcFRWF\n84QoNDsZubpWLeyhFupYiRvoRY+UkhL0qVePW+7Fykq8dfIk93273O3opDHnKitRl7EJcKCIomMw\nOOMea0zQm+wbXa0uKChAUlIS2rVrhw4dOmieayeB8FYJhEhywLd/jk9LAwDUi4zEg1RMd3XEqiWJ\nXuwsM9FHaaEWKHe7iooKlJSU6IqkQC00SJHERtiStGzZMlM3WLJkianrWrdujQEDBuCvf/0rjhw5\ngsWLF+PHH3/E448/bqo8Sc3lBBHITEJPNoDfBk2mSCKvZbz/anq6bl0qPB6U2ryhqJ3Qq9KiDw3R\n1eVwx84HgUhMklV3O/oemzZtsrU8QMCSRL0+UlyMj7KykFFejgdTUnzeK+a0fZEpJz2h4U1GjpeW\n4nhpKbecFEagPcuSRKP3S/VCYmFrAAAgAElEQVTZs0fzfbtEEr2QcVEjY1wweuF3331nW1lGJnip\nqamYPn06Nm/ejLlz59qWQCFUaIkks+NQNEfMPctJNV7dsCqS6OtZfdSjKPjf+fP48fx59hYI1DHT\n2e00fuPi4mK8//77mDFjBg4ePOhfB+LaQFmSpLsdG+En+IYNGzBq1CisXLkSpRoPKOByetBFixbh\nrrvuwoYNG0xXbsqUKahbty4efPBBfPrpp3jnnXcspdOV1EziOFYOXkwS+T/rPUDbVY/HpcpKdNm1\nC/W2bPHZqDKcKKQGQtGHED0waz3wwxn6QWDlcwTDkiSS2ciIC57uSr/AJEFrf6EcTjIfke9BJAX4\n9vx8XL1zJzru3IltVJA3AGy8eJEp/FkiiZ4wFel8j6xFF5JAWZJY45hKoEWS0Ym9XvsSXaQoKirC\nggULfI4lJydrlm0XFRUVOHDggO3lBsSSxOlXNWXzc6uJG+gxhTU2rMzLw10HD+LugwexMi9Ptw6B\ncLej2zoN2U8CZfGRliQ2wjb8GTNmYN26dZg2bRpef/119OvXD127dkXz5s0RGxuLoqIinD17Fvv2\n7cPevXvRpEkTTJgwASNGjBCuzNGjR31eN27cGLNmzRL/NJIrEt7Qw7Qk6bjbZZWVIa20VHNiwuPH\nvDykV1m17j54EMottxguI9DQE1yzftIul8vPLac6YOe+Q8FIAa71oCotLcWcOXNQUlKCxx57zOuW\nLFKeAuBo48Yoio5GT2KRQSRxQy2GVVGdrOXo7JOjhchmsmOPHPH29/579/r1MV5KbBGRRC8g0LSv\nVQunNASimTGDBV0vuzN8GUFPJNHtPTk5GSNHjgRwOfudy+Xy2cpD1JJ0kuHWWLduXdFqW2LVqlV+\nx0i3f7MEQiTxYo+suL2GE3Zbklgi6V7CcvPo4cMoHDjQ5327EjfQdalDjKNxcXGa12q52/3666/o\n3bs3mjVrZqpevHKlSLqMIUfnIUOGYPDgwfj555+xcuVK/Pe///XJvtSoUSP07dsX77//PoYMGWLZ\n1UQiEYE3kGrGJDHOz6moQOsdO0zXYy2VEtdKvEugoN2UzIqkyspKv73NqgP05wi0SLL6oNGq39at\nW71pmP/zn//g73//u255an1Ox8Xhu+7dAQDXx8djlPo+6xqdNqJmjAR8H/wkehFtiqL4iyTGeScp\n11q3oiBCp48pisIUSfSEiSWSPIqClOJidK1TR+h7sAN63NIqd1FuLuZ26WLLfVXIMUtPJNHts0tV\nXdLS0jBv3jwAl+cNffv29V5DwhMH9IIpAMTGxgrU3jr7GUJbtH9pEQiRZGSBsDpitU/RgoYlksgW\nzPIgsStxAz2+ka9jYmI0r9VytwMuW6JefPFFS3Nu6W7HxnA0qMPhwODBgzF48GAAl1czCwsL0aBB\nA799jSSSYMBb2TnGcAvVsiQ9f+yYpXrQe8HMPH0aL7RsaalMu2lLTTREV8XoATMtLc22DaWDiZ2W\nJBF3I6uWJa0H1blz57x/u1wuZGdnY/HixUhISOBa8NXyzhEJIU4YTAHO8vOPqiqDt4KtlxpbVJzR\n9z5bUYGWOhOM/+XlCVmS1HThJA8eOoTF58/j3quu0u0rWqv3lR4PvqraCP2Z5s01M2XS9SLrzpr0\nZZeX634HZtGb2NPvq9kYVYEEAOvWrTMsklhxGaF08bXj3oGISeK1uZoyvbVqRaVHdz2XWNZ2IoFK\n3GDE2qdlSQIuJzj5+OOPERMTg8cff1zXMsVCWpLYWDb11KpVC02aNJECSRIyeIPWA4cO+R3Tikmy\nCr0R3t7CQtvvYRW6w5u1JP3444821Si47CP20AHstySZOUcLrQcVvWo4Z84cXLx4EUlJSdyYCrU8\nJznxJt83EbhMWj547UlXYLBWeAW+uxM68bEAsLOgwK98liUJAMqI9qAoChZXxRYuPX9eN32wnsXn\n2dRUPJuaiq/OnNEsR8vdjvU97Swo0CzPClrJEjwej9/En7eSnZKSgqVLl6KcWkgyMhGzmv4+1ND7\nPpJU10Q4gSYYliQSnjVZq0xR6M+iEGXpeZzoWZIA4NKlS8jJycHy5ctN1U9akthIfzhJtcNFdV4j\nex9oZbezSncqXXP7MHRHE8nyxaImDJhHjhzxO2a3SLJ7NU6rfloPVl5WUbU+5JUujmDyXkO9ptsM\n6dpjViSVstxcNK+4DJ3Zku6DAHBjvXpsSxKjTiVEPeiVXr3EDlrZq9QtCwDgmdRUvzGMhK4XWXdW\nnZvYHBtItiutyTtLJPHa68KFC5mJF4yIg+o+BmntH2lGJF0JwirYIqkBI9W+3vgnCstyJLq5rZ4l\niSStKg28UaQliY0USZJqBz3Q8dIOs9BytxNBa+X69gYNfF63DZALjBVEMoixYA2YiYmJttQpWHz/\n/fd+x+zObmf3g4a+npzAavmft2PsGwb8VmcfS5KGOxegv5JqhyVJb98yHumUSGL9Jk5GvYrcbuxg\nWGDKNQSf3gRLqy/RWf9WVsWSlXs8uOfAAVyXlITDVXtg0fEkPlsTMOpgV8IIFnouYmXU92+0vRs5\nX+vcwsJCnDp1KmyFg9vt1qybmXqnClhRqzuW3e0YrsFa0H2YZVk3nQKcUdYn2dn4+swZ3QUhEUuS\nVaRIYiNFkqTaQa+m8kTSGCq+APhtEDQ70D3BsEao8ARImduNTZcu2ZYi2Ap2WpI2bNiA3bt321Kv\nYNC4cWO/Y4G2JFl1EWLFcKhlalmSeIHALHc7sg0w3e2o11p7j/Dak147Y31LQiJJYKLoUvwTN/Cs\nz6QQEkkfTKIVY0B/PnW/si9On8aKvDzsKSpC119/BeAf20jWnSWIrATp6yUfqdTIVujxeLCDSnRj\ntL3zJnysjWp5k7bS0lJ8/PHH+Oabb7B161ZD9w8W6Tp77JmZ+JrZGLW6YdmSRL0+qjNeiIgk05Yk\nxu/15/R0/OHoUezUsQZrpQC3C+lux0aKJEm1gxYbPJEUw1hpt2pJ2szYm0WFnsCo9xqWnIxb9u3z\nSTUaKugBXvR74E1+/ve//1muU7Do2rWr3zG7RZKdiSF416ur+1oiifceMyZJx92O/pymLEncmvKv\nYz2ib6GstbQliUWloggvipRpCD69TaKNTJ4aVk2K6DjGQ8XFePTwYZ9j5PfNmhgbtSSdOnUKq1at\nwtmzZ3WFvp5I4i0KiGb15ImDevXqadaLZNeuXd56/vLLL0L3DTZ6MdtmJqT0xuDVlc+ys/HHo0eR\nXV7utzmu3e52ALCeyMhMQ7da1q9idu6gtYjySe3amteS/SRYlqRwtcoGG+HsdocYQfBadOvWzXBl\nJBIRWPubTMvMRP969XBT/fre46wBVh2oApG4gV7RrVSUy1akqonQ6gsXkFNRgaYhTHJip7sdAHTo\n0MFSfTwej61bBRQXF+O///0vhg4d6udyJiJqjMD6TuzcrJZ3D5fLhZiYGFPp5dXvwMERNmay24nE\nJOlakgTd7ehjxzQSC5D31kvfzSqfXvnVEyNGslWp3xm9EfbS3Fy/c8nvjiWSjFio3W43vvnmGwCX\n91dhpbU2IpI6dOjgkyTEG/PmcAhNsnjjCp3gQevcYGW9s7Klg944Y2ZCmq9RZvNqkkjrYFGRN6vs\nmYoKv/6d53LheGkpEkzG97LGkBXnz+O2hg2Z59O/rlk3YBZa40OJw4GD8fHozuj/ALG/naIETLxI\nSxIbYZF0//33MwM66UFDHUgOU6thEold0BOF5OJib2D0vuuvR8+q9JdMkRTAxA0sSxJd12bbtoV0\nk1m7Ezew3GJEOXLkCJYtW4bmzZtjzJgxtoilDz/8EMDlfU0mTpzokwqVNVEJd0sSTyQB4qv1rPJ4\nliSh7HYaliRyIhDlcAhbbkUtSXR/ojevZd3FpSjiFlPib6MLClrvP9KkCRYQKdtVYUP/gpMYm6iS\ndf9PVRpxEiOWJDp5Cat9ku2afr9jx47ewHDWAoddliQjIilYe9GFnUjSEIdG4nRDydKq7JHA5VT9\nLO47eBD7b7jBVPmsfj+0USPh61ktzs7EDSSLunZFqx070ECj7QfSuiNjktgIi6RatWqhtLQU11xz\nDe6880706tUr7DbKlFwZaK2c9kpK8ooQ1mDmEpy0qUQ6HMKDIm1JcikKM2tXKLFbJGmtNOuhJlI4\nefIkkpOT0atXL9NlAf4ryomJiRg+fLj3tYjlxwihiEkCfvvOLYkk4pjV7Ha8mKRYpxOVVZ/fjEhi\nXWMm/saIux15T6P7mmi9H0X9VqqwoTPTeQDc2qABNly6xKzHNwyRZMSSRLdZlhWGbHNk++3du7dP\nm/N4PJY3T+YtArD6Da/sYE3m3G636YWcQIikAg2RVOh2C220zGNGVhYWnjuHN9q1MyQqjHJBwAqY\nXFxs+rOIjGckAbUkCbTTtEaNcD1jiwC1fQSyrUtLEhthkbRjxw5s2rQJa9aswaxZs1C/fn0MGTIE\nd955J6699tpA1lEi8UE05beWu53opCnKiEiiJ1UeT9gF19ITOdHvgfcQtyKSSPI4q4hGyM7O9nnd\nokULn9da8T1mCJVISklJwaBBg0yVx8xuR95PxJJEvc9zt4t1Or37jphxt7MraNqQJYljFRO9Dw+6\nLPU7i2e4RWnFZTzdvDnez8hgliUCHRvDav88S5LT6fQTSbRQt8OSxOuTvEmbGYGxadMmbNy4Ebff\nfjsGDBggdI2VSWMgRJLWc1ABcKGyktm+9DhdXo4/VVkLhyUnB9TzIUawnZR7PKhtwmuB1e+NLCoE\nOrsdDe8MaUkKHcIiKSYmBkOGDMGQIUNQXl6OTZs2Ye3atXjqqadQt25dDB06FMOGDUPv3r0DWV+J\nDr/++iu2bNmCG264QXjwr25oDXI3EQG/miJJcLCJdjggmmiVFZNU0y1JwYoHECGKWpWnXQG1rDJm\nCJW73YYNGzBo0CBTZXtjRuyMSeKUFUusupuyJAmcR6fddzImXUZEkovzWYxeS0NPkNQJLuuaElpo\nE+f8yFhMMLJPHN1fee1fdS0j259IfwqkSKKD15OSklBQUIBSg6mwy8vLsXHjRgCXEz30799fqL6B\nFElmytYTx8VuN+INlwqcEkiGYhes5EosKmwUSUYWFYLpbgf4W7K89aiqcyCFixRJbIRFEgkpmCoq\nKpCYmIi1a9fi2WefRa1atTB06FC89tprdtdVIsCqVasAXB78b7zxRt2sOtURLZFUyVnV9r6vMTlh\nEeV0AoKTUdqS5GLEJIUa2uQfSnc7ki1btqBv376orZHlp6KiAidPnkTr1q1RixHIS0+uRAZ9VuwD\nC5fLhQsXLiA+Pt47oRJx3wtEdjsVrYeYnmuSkex29ETDLyaJ0+fICZBdiRvocupTmz/y+nwwLEla\n7jR+SSCqXrPqS8eTqOecLC3Fwaq9lETvS0P3kQpq/yYVVSSR7S8iIkJ3U0sycYMIRlxgyXPVDH1m\noOOySktLveOO1kq9lb4cEEuShZT0WgQziEJUJJn9LEyRZKAso+52HkXB1vx8NIuOxtXUs8zsZwCC\nY0mS7nZsLEdKR0dH44477sBDDz2EkSNHIi8vD3PnzrWjbhKD0B1IdAKoUlxcXC06htYgR64k2xGT\nRMcSaNaLld2OZb0I4XccTjFJNDNnztR8/+uvv8aCBQvw+eefm7LisCYqIn3E4/Fgzpw5+Oyzz/DT\nTz95j4u425WXl1uytrG+d3UCakZAsdzt9PZJoo/QbebeQ4eYk37SlcZMCnCRY34WGlaMi2IgJoks\n22A/NWRJ0hBJfpakqv/XcVIXG5r0UW2GJ5LU9nOGiI9wOp0+MTkej8fyooBZdzsr+yEtW7bM5zVp\nidKahFp5NuqNAWYmv3q/u1mLB52C3so+XHpYEUmKomBaZiZeS0/nxmexWqMhdzvGMa3v9euzZzFo\n3z5cs2sX0qjMmyLjiUdn64ZgWpKsLvDVFEyLJLfbjS1btuDNN9/EgAEDMHbsWBw6dAgvvfQS1q1b\nZ2cdJYLQA7GRRp6cnIwPP/wQM2bM4D44wwWtQZscYuzIbmdIJDEmcCx3u1Bal8yIJJfL5bf6qmLn\nylYxY5Vcxe1242xV0Hp+fj5KGKmf9QZ51gNGpK1nZGQgJycHALB9+3bvcdGU4rNmzdK9Bw9WndXt\nFaxYkkh3Ozfnb+81OpYkAN7skuRkJtaAJSmQIsnIJE8rcYMeeRoTYSPudjxLUh2Ou5GRFWojliTg\ncvybSlpamo9IcrvdXJFkxZIkIpLsHHdEN+oMt5gkvXZt1nJxgnK3KxSYRyw/fx7rLlwQ/hxny8vx\nWXY2Tgi6SrI+y1dnz+KV48fxfkYGZlLxqCpGLUl0u2XGJGlc//TRo5evA/D2qVPC91XZ1qoV83go\nLElyn6TLGHK3U13r1q1bh40bN6KoqAjXXnst/vjHP2LIkCFo1qxZoOopEYB+uBhZwV66dCkAoKCg\nAGvWrMHdd99ta93sRHOQI/62I3FDtNOJehERKKgaQBpF8rsMK7sdSxAFIv24KH6JGwTqsmbNGu6A\nGayBlI47YFmwAmVJos9JTk5Gjx49hEWSlaQUWlm+zEzo1PK4liRWWdRrVr/6ODsb/776atMxSSJu\nfqx706uzLJFkaB8hC+5275w6hb+3aYNYhpjhpRNnfZf0mKHWiReRYUQEnj592vdaHUsSydmzZ9G5\nc2fv602bNnGvsxKTJOJuZxY966/WPcLO3S5AliSazLIyNKbiPUkmnTjhFQRzOnfGU82b65b5UEoK\nEjU2ZqdhWWH+lp7u/fuDzEz8rW1bv3NYIsfsookK73v9A7WQWET85h5FERpPLnH2gzJqSTKTrt6u\nmCQrqfLDEWFL0oQJE9CnTx/86U9/Qm5uLl566SUkJiZi3rx5GDt2rBRIYQA9cTTr5rN37147qhMw\nRN1gtAY4I5akzzp18r5uExvLPZeV3a6UlVEthCLJjCVp9+7d3PeCJZLoSQZLJOkN8mZjkujPqC4o\naMVkkNQnNjg2Cqs8tT5m3O3UMYEc+NW+UOZ24xhjZVfEknR11cPdzsQNIsf80pEzrjGS2MCKJQkA\nfuBsBsmLBaTvUcvp5H5G3ucw4m63b98+32t1LEk0eimww92SZEUkVbfEDWYsSazvR810x4O0mKiW\nFD2MCCSA3cbPE8+ASwbc7ciy6HHJL6U9q0zO9/o1lZ6fTFlu1WXRqCXpDCONuBaKotgikpYvX463\n334bs2fPNlyHcEXYkrRu3To4nU706NEDMTEx2LRpE3MlCbg8QH722We2VVIihl7gOo/qEIdEYiUm\nyWh2uyiHA93q1PG+1rpONCYplJ6+ZmOSeIRKJLEmd3rudqyJSmpqqu69L1y4wDwuugpuZcNdrUmk\nmQmdVyQxxECtzZvZZdFlMD53J4ZICkbiBhF3Oz1LUgR+65Nam8mKcJojukUtSZWKgkiOKOW56eot\nGqWlpeHUqVO4hZHK2YhIGjlypG4mOaPPEjtSgBtBb/+lauVuFwBLEqvNbzIoaPQw81n1+mJ9zhir\nN67QfYe+j5VtCMhlAiMLGSyMWpIKCgr8tsDQQiS+Vo9z5855F2HOnDmD2bNn4y9/+QszyVJ1QtiS\ndMMNN+C6665DVFQUiouLNf8VFRUFss4SDmZFEr0q36NHD9vqFAgsxSRpuLmwiHY6EUkGoGuJJMZE\naHtBgd95VoTJpcpKFFlIBMCbrJklUCIpLS0Ne/bs8bZpEUuSnijipQDXc4czEo9l915MrPLUY2Zc\ng7wr/eRqqk4d6IkCq82oq6Y8kWSXJYluv+TrCo+HOZnSE0k8i5eZvvHqiRPM46IiycVwy1HP4Ykk\nrQlYdnY25s2bhy1btmDGjBn+9eIkXlHbFjnRatq0qbAlSXRcMOtuZ3bc0epPeuUG0t1O794sdLPb\nmRB1VjKwBfIeenG8DTnugHoLLVrjCcBxA9asyW+QcxEjLr8s8quEquiczqgwMbJ5M49LxAbYKlOm\nTDFURjgibEmSGevCH/qBJ9rIRSag4YSVmCR1sDViSSLXqLQmTixLUoSFlSia5KIi9ExKAnDZvSm1\nTx/DZYSLJUmrbZ49exbz5s0DAJSVlaFfv36mLEn51Aoob6Iyf/58jB8/nluf3/3ud8jMzPQ7Lrr6\nZjTLpF55POGodx15LWlJSistxU8caxngb0li3dXJEElGEjcwV3wZ52lZkmISE5ll602wYp1OFDOy\nzdk5YTQSk0RPqPREklY9ly9f7v27sLDQ7309SxLZxunsdrzrWK47PILtbheuliTAeCyHnguXGUkX\nyEx2KmYEA22h/ZVafORtSqtrSaLd7areVxd9rFiSSK8Wq5akNWvWoE+fPsLt3ujCnKjr+JWIpRTg\nqampmDdvHmbPno2FCxfieFWGI0loMGtJEt1gMFzQtCTpuNupmaNEHyBRDoePb7FbUZDvcjHrwMpu\n1zImxu88s4kbVIEEgBk7IoKZxA1a2DlZUSGzY6opt+nzWQ8B+hw6/oLXH9q0aaNZV97ERXSPl4SE\nBM3ytQiGux0ADElO5pclIKzVY+TqtY8liVt61fuCkxEzIt+sJcnMSvwrrVszj/MSTrDqTx9hudu1\nJcYVrfFQL1ZYTySR7UhEJAGX+4CRAHMaq+52Rq1B4SSSjKA38TYztltdGKgj0D7MiCQ6y+z7GRk+\nr5tw9oPUW2hhfV6y3xtJ3EBDfhOinzlaR9yItkGeizgPOyxJrPbbvXt3Q2WEI6Y2k3W73Xj11Vfx\n448/QlEUREdHo6KiAg6HA3feeSemTp1qyQ9fYg67LElW3IOCgeiqDGswUzPOGLIkEQP08bIytNi2\nDbUjIrD/+uvRgpis0MGjLkVBIeO7rE6JG/TaUCBEkpk9kAD9uvLuqeeawLtO1FVIZGLJQ0uImZnQ\nqTFYtEjSgv5ErL7zv7w8zM/JsTW7Hd02PYriZ9USETIiliTWPc30U94vLZq4gYV6DpkEpl5kJFC1\nuq41sdWzTOhltzMjklj7J2mdS2PV3c7j8fjNP7KyspCVlYWOHTtqlhuq7HaA/e52oRBJxQL90Ugi\nFRU6DfndjRtj6fnz3te8VqknclgLDJWKAjU9E+vTmIlJEhVJDx86pPm+aBtZtWoVbrjhBqFzAXss\nSay6aW0OX10w9fT+5JNPsHbtWrz11ltISkpCcnIyfv31V0yaNAkbNmyQSRtChLQk6U9yjIokOiYJ\nuLzZ4/nKSjxPBP2z4oTOV1ZiWlaW33Gz1psnbcggaVQk6Qlms6urWpMG1sTODpHEez9SI607716q\nW5HIuXavQJt1tyPr6zDQBkUsSQDw2OHDpt3tRPYjYfUbclJ3NUfsGhFJZlKAT2jZ0vs3bwHHiLsd\njfork5+jLiECrLhI0dZWFSuWJJfLZSkmqYzap0frXBZ02z979iy+/PJLrF27Fp9++qnm+YHaTFak\n7kZFEtkeehDJhVRMiaQguFjtZMTp6kFnjaSfybx+ZzQmiT5mKXEDUccNjHgdkqf37MHTe/agvc55\ngXKBC5RIOkxtTFwdMSWSli5digkTJuChhx5CXFwcAKBu3bp4+OGHMW7cOG+KXElwMSuSalJMEjnI\nswazuTk5cGzciIMaG5eS0JYkkr1EgpLVDPP2Rs6AZ9aSxHvoJV66hHk5OUKrVbwVbR579uzRfN9u\nkcSbKNBtUi8A28g99eC5vInGJFlJbmGnux35+Y1YkvxikjSu9UncIJjwhPe+iKAnJzTku68SLpR6\nK9dWLUmkOONNMq2IJK8rI3EuubGslpizGjNoViSJwqofuZcTOdE0G+c0e/Zs4fMD5W4ncq3R8tcT\nz5dpCQn4F+XWa2a0M2NJMjqJvF/HWsJiGWE1AvznALxnn9GYJMC3T4ru38aC/F5eOHZM89xWhYVo\nVVgIvYi0QCVKsmNxj3U+Kw6yumFKJOXn56NLly7M96655hrkcvaKkAQWs+52V5IlSSVDMJieTtxA\nQgZmxhlwLzUrkljxRCnFxbh53z48fvgwPuHsOq51b70BX8+32UiQts99DW4YSW+CKTKoqws4evc0\n425XWVkp7Cpk9+TKrLsd2c8NiSQD1kezKcBZn4Rum3oxSuREieyPRixJR0pKMObwYWy+dEl4whhN\nXB8ISxJLJNUm7qn1+azuJ2RGJBl5frDa6VVXXeVXD/pcIxYfve8gGO52dluS9lGTz0ZRUXipdWuM\nIr67YLnbtWPsHZhX5Wkx6cQJ7/hxrqICjo0bhcpsQ8Xy0pYyeg7AtSQxjvlYkjjudipWLEmBwMiz\nxEh7ssOSxFscCdY2IYHClEhKSEjA+vXrme/98ssvuoHQksBglyWpOsckkQOcHYNZFMPdToU8WseA\nSDLrbldKPxg8HrxK7Dr+ikDiFKPudu3bt9ct08zkQcuSxMokR06ceNfrtWOyP7Qldmc3MolS2bdv\nn7AlKVzc7cjvI8pAncxakgzFJNlgSbJDJH2QmYn/5uRg0L59yBccB6MENo20EpPkZpxLfj6t8dBu\nkSSCEZGk14fi4+OZx7WwsgKude33339vqFyjdTLyW82hNupUnz/kU8jMc8aM66aTej66FQWfZmfj\ns9On8fapU/i8aoGr6bZtwmU2iorC3Guu8b7uRosk6rPx6q23sKKXuIFVqgK2eBK5t1WMtBG953Jx\ncTFKSkq45xrtR7z7Xbx40VA54YapxA3/93//h/Hjx+PSpUsYNmwYGjdujLy8PKxevRqrVq3Cu+++\na3c9JQLYFZMUaBPpkeJipJWWYlijRog0EdSutdplt0iK1nC3UwCcLS9HfHS0oRU4s/WiJ3sVin8g\nux5G90niBXaT2G1JYol0Ok6JdQ5dDy0Xvfr163OvE6lrYWFhyCxJZt3tyO+sYd264nUwaUmKtTm7\nHVMkEZ+zgiMijIgkkvnnzmlepxJoS5L63fDc7bQmtna624mmp7ZqSSLbaTSRtUzUkiS67xGrXJY1\nmtz3MScnB02bNtUtU4cQpMkAACAASURBVOsePIz8Vl0p0dC0ap+gCJ3srnqwEi/w+ocKvQBQ5vFg\n0smT3tfvnjqF54i4PREiANQnYkULqPGedq/j9TvWd0CORazryH7GE5ouRUG0XlIU4trHmjTBvKrx\npENsLMo8HpwWeLbSGHmW6G2zMWfOHLjdbjzzzDPMBRC7LEm5ublo1KiRobLCCVOWpMGDB2Py5MnY\ntm0bxo0bh0ceeQTjxo3Dtm3b8Prrr+O+++6zu54SAezKbgcEzkR6urwcv0tKwl0HD+JfjKQGItjh\nbieKVkzSybIyNN++Hdfs2qU7ESMx67ThJ5I8Ht2BmkZrnxkWIhMeOy1JPL9m+riIJUlrM1kyWQOr\nrNzcXEybNg0bNmxgvt+2bVvh+KNAiCQ9N0fdySdn80VmWdRrrV/bZ9+iILjb8SxJpIjQi9WrxbEC\n8/ZeAYCGkZFwAFjUrZtPH+T1JztEEnlubZtjkpo1a4YmTZr4XUdbkkTKMyqSsrOzfa4h+1sU0U7N\nuNsZXeQh/27ZsiU6dOjgcy4pmIxgd0xSXarNqoJCdONzHsWMsY5Ov01Dtz/6OWVm9ItwOHzaeImO\nKOL1cT1LEi+7nQrPYiSSVIYsux7xvHm5dWu/2KPbbruNeR8aI21E67m8YsUK7/tffPEFd3HP7Xbj\n+PHj3GQqIvf7+eefBWscnpiyJAHAQw89hNGjRyM9PR35+flo0KAB2rdvbyndrcQadsUkAZc3wIxl\n+Bpb5b1Tp7yD1F/T0/EXE66Z4eJup5JWWorJxMqZHnZZkioVRfcBRsJMoaxTl/OFhdjTrBmaFxWh\nOWeCYLdIatKkCc4Rq/j/+te/hK7niRZ1BVxk8qUyc+ZMAEBiYiJzrxmXy2UpzbEovGv10iyXl5ej\ntLTUJ96K7Od6Gf187mXAkkSm6g2Gux1vwkNakvT2FOOtlO/kWNSjHQ5k9u2Li5WVaBUbi2VEDC5r\n0qUoil8/U18byW5HrtiTMUlai0aiba9WrVpe1xvyOlokibhiGxFJ5eXlmDNnDq666io8//zzcDgc\nvm6hnH4qukAgUhfyfJ/kJowYrGjOfjxG7sHDyMJkfar/qmOcz55+wqX9Bksk6S0A6ookRUGuQatJ\nhMPh08ZL6M3E6UUzA5Yk8hjtwg5QliRO/ehy9fZNJM+Pcjj8rLIDBw7khrAAQJ0qy6Fd7nZnKHdN\nnpv40qVLcejQIcTHx+O5557TtCbzxobOnTsL1jg8MaVoioqKsG7dOnz77bdITEzEuXPn0LBhQ++A\nsmrVKiRydj+XBI4tW7b4vLZiSSo1uVmpHhdtiHfSmhToZbczipa7HcmvBlwUbXO383h0BZzeffV8\n0P9+5gxWdO6MOddei3LOirsZkaS1YaTIg0A0ux15jGdJ0usnZ8+eZZYr+rmtWGXpSRt5XK/e6ka8\nKqZFEl0njc9DusUYSgHOOEZ/u1oTHreieM93wNiGlXruRDSRDgfqRESgVdUikp67nZYADLQlSTS+\n1Ol0+kyA1DZLtl2n0ynU5s0k/jl//jxOVi00ibjbicbjidSXJ75YIslqjJfVc1TI3/xeIl6T3vjc\nKEWM76tSUTTLErEkscSIFk74tnG/eFwBSw7ATsygK5LI9iMovlj9mByDyO8o0uFg/tYDBgzweU22\nPdaihR5Wz/V4PDhUlYkwNzfXZ+GSBW+sqcNIT1+dMGRJqqiowPTp0zF//nxUVFT4/NBRUVEYPXo0\nnn/+ebz33nt4+eWXba+sxBiik7hiRjrsQCVvsEO4aFmS7Ha3qx0Rwc1uZxaziRtYMUl00KwWeu5K\nLNKqfIndTifOxMWhXX6+3zl2W5JEyhO1JPEmTHqWJJH7ByqQXIV2qYuOjva6PbhcLt1y04mkHuo1\nKoGyJBUQ33FMECxJnqr6kWI/2uFAQwOfz4xIIvFxt9NZmVaxGpNErrKnlJSg9fbt+LJzZwyhfP9F\nBQstCHjudnZbkkhU1ziRfmqnSOItpERERAjFQopgtyWJbO+kN4HVxA0sSxIA7CsqwnWcOEa6zZdS\nZSgwnhAiwuFALdKSxFggJOH1I2ZMEimSOKKQdS5Jl127cLZ/f8378LxaeAubUZQLdGRkpLdPqO3H\nasY6HiLPU722z+tr4Z4tWQ/hJ4miKBg3bhy2bNmCe+65B0OGDEHr1q3hcDiQlZWFn3/+GT/88AOW\nLVuG9u3bY9SoUYGst0QA0U6ydu1av2OBEkmHCZcOs2hakmwWSbWcTiFLkhHM1ose0Cs8Ht19FUj0\nNs5jUUGs5jXg+CUHI3GDyPVaAz0tOLQsSeUC6eGD4W5HPxCjoqK8IknkwUNP8Gir1CutW+NDRiZB\nGhH/exXSkkTG9Hjg6/qodw/WMV5bdSuKz6ptjNOJVlQKYS2MiiTaxVXPkqRlATMtkiirblZ5OSaf\nPGlJJLH2JKJFUrt27XTLMjspUtu7iCVJ1N1OZCzRsiTRmP1sdosksi34iCSLliRajKh8kp2Nr4ls\nc7y6AMB2arPYCOjvVUZDiyT62ee3HQanHD3xwrIkkdfwfrUcqh3oeWnQ7nbZDPdDWiRFRUV5RZJI\nsh4arXPr1KnjszhuR8wcr6+Fe7ZkPYRF0uLFi7F9+3bMmTMH/fr183kvISEBN998MxISEvDPf/4T\nI0aMkLFJQcbu1MOBUP8rzp/HAcFNXLXQsiQVuN2YkpGBDrGxsC6RLrvuOBwOOGEuAJWFXZakfUVF\nhkSSGUuSk5iMxXBEQSgsSbt378bIkSP9ruXdh5yAOBwORBCfi76uREDIB8OSVEBPNsiMZiYyI9Gu\nU1MTEvBpdrauK4z6riIwsc8nrQBOp0+/cSsKdxWVVQPRdPUuRfGZhMU4nYaETy2LliRykspy87Ns\nSaKuAXwtSSrbqPYCiGcqZVmS6IUFp9OJFi1a4NZbb0V2djZSU1OZZWUL7NfGQm1fhw8f9h4LhiVp\n+/bt6NWrF2rVqqUrkgJpSTIyTviIJKKeVmOSeAuQpzgLZIqi+D2Po6nvzelwmLIkkZZoWmSx9gxk\nwepf5HNUNyZJo3+mFBd7swzqPVtJa5uoJSk6OtorZNxut7dPiqLVnpo2berjaSCSpvtKtSQJPx0W\nLVqERx991E8gqbhcLnz77bdo2bIl1q1bZ1sFJWKIpERmwet0gVD/9xw8aEs5egPuX9PTMTolxZZ7\nnamajFq1JpEb7tkVk/RxdrZwWl7efVnuQSqKoqCceFBFB0kkibY9uu1qLRRoBWTT14nGRNllSVIf\ngDS0RYu0fomIpEuXLnHroX5+EYHgURScLi+Hc9MmODdt0kyEQAZYR1LxfFrflll3O/U47W7XRDDA\n3gH97F009CSH/Iy7GKLEqkhibiYruC+baDY2VkwSvbCgvj9o0CA88sgj3LKSk5OF7knD6id5eXne\nv3NycrB8+XIcPHjQVpFUWFjonbMEypJke0wS1d5V9CxJaSUlWJKby43Z4y1A3tW4sc/rx1NS4Ni4\nEd8x4lTo/nSmooLrxscjAr7uuvQzn7fvGA3rODlGsZJSiIqkuw8c0LwPz5IU6XD4bJarZiqkXaDp\n9ldaWmpbdjs6TkgkBl2v7ddUS5KwSEpPT/cLLCM5efIkGjdujDfffNPPF15ymZKSEku7du/duxc/\n//yzcAyRldWrcG7YWpYku1EHfCMJElhcFxfn/dsukfRAfLwxdzvBVW6Vco/HO7GN8HgQwXN3snkz\nWdHyTldtUqhVJsttKCIiQlMk2R13oTX5OXfuHD766CPMmDHDb9WfFEKNGzfG+fPnva9FHmoxlMsZ\na88bEYuLB0DHnTu9r0lrcEtKjJBtNNLh8Ok3Wu2elWpXJAW4epx2t4sRtA5FUXUUuoYqO13nt9AK\nHjeduEHg8xkZw2mRdPr0aVN7JBm5Hw3rHh07dvT+7XK5sG/fPixevFhT/BkVScDlzaHpa4NtSVIU\nBVu2bMGKFSt0LYBcdzviHLr/XKysxNW7duH+Q4fwf0ePMssV2ZT1eGmpd8+fRwmrn1YZA6u+X1Ei\nHA4f8UeLOiuWJNJ6xLT8CiRuAIDjhHVNz5Wd/r229e6NTrVqoWV0NDL79r18nLIk0W03KSnJNksS\n/Z7IopveOby+ZmXOGw4Y8jOI0Fi96tixIxYuXIjo6OiA7bFTndmyZQumTp2Kd955R8idBwB27tyJ\nyZMnY/LkyUhNTcWKFSuwdetWLF++3O9csyKJN9mzSyTlu1xYWrVydaOBDSy1IAex1gZiD8ygTrZE\ndtjmMaVDB8u+4grlUgSA6054tKQEE9PSsJ4yoRt1tyMzHfGsSIC9Isntdgu3PXrlzS5Lksj9jbi7\nafXDn376CUVFRcjPz8fKlSu59YgjRDYAzJs3T/e+CQkJ3Hqon19IJCkK1yXvq2uuQZfatX87l3jP\nz5Kk0dZYrUHUklRJufyo7j5NBfaCousoAi2qbqpXT/N82xI3EL+BniUpPz/f0E73DocDp06d8r5e\nt26drmDo1q0bs6wGDRp4/+alzGYJInXecBWRrY1u9yKYEUms82nhCAQ2Juno0aP45ZdfsHfvXixa\ntEjzXCF3O6ptNdq61fv3f3JymOWS/SiCc3zthQuaddtvg0s9y92OnFfS/cYDoO327XiBcgHVE0l6\n4kav9Wi5IPNSgEc6HGgZE4Ojffogq18/bzp3WiTRngCRkZGGY5I2bdqERYsW+Y0FZuJwzVqSrIR9\nhAPCIqlDhw7YSnQyHps3b/bbgE0C/PLLL96/p06dKnTNmjVrvH8vWLDA+/exY8fw0Ucf+Zwrmu2L\nJpAmUo+ioMGWLbjv0CHEJiZatsaokIPPyt/9Dsott2hu/Gg05oCkXtVkxGjgKUk0tdeSGUsSyy2g\n2O32zzzm8eAPR47gX1lZuPfgQRQRv6PRxA3kZ440sColAm/yQk7UjJahlcyBtiRpxSSJxFSwrLk8\ntL6ftLQ0798ZGRk+75Gfx0g2OhW6D9MxSYC4JYlHtMOB5pyJMG1J0hRJApYkrQ0jfSxJVfekYyNY\nmLEk0eeT32E8Q5hp9Ts7stvRZGdnY8aMGd69vkRgiSC9BAh33HEHsyxyASE+Pt7w/ch2b2avPisi\nKZSWpN27d3v/zsjI0LyXSOIGM88Z3l5j5PE6OgL9I5ObxJNEOBxwUn2TZ5lRySgvx8zTp3GUWIRm\nfQeXXC5crJrw620mq7eg+UnVs0LPlV0ku52etTYuLs6QASI1NRUbN27EoUOH/Bbg6H4hsuinJ5Ku\neEvSvffei3nz5mHv3r3cc5KSkjB//nzcf//9tlROwic/Px+5xCaGrFVDj8eD06dPIyUlxXBQnR0i\n6RNqsmmbSCL9saseZFplG81eRfKH5s1NX6tCT8REh4wz5eVeEVTI+P3m5eT4rQiWeTzeAO4Ctxu7\nCbcU0ZikySdP4o59+7CTCAR3ak1wbbQkkQsDetBt1A5LUllZGVatWqV77wOEP7oeoiKSfgDSKbvJ\nTfnI1XoeWt+P0ZgkHvQCAEmUw+GzGm3U3Y4+n2fNyiwvR29igqmuQIvEGtFCTgT6G6tFTBr1YhxU\nrCZu0Prdli9fbtibgzVB03Obb9CgASZNmoQ333wTPXv29B4nV6XJzYxJWM8dtY+GSiRduHAhpDFJ\n9ET1KMclDvAdt7nZ7YxUUK0DUU8fkcSxMAUK9R6kyx353Nda3DtOuL+yFjezysvRaOtWfJqdzXTd\nJ5+1eiJpQtUil54liWf5I2F5avXq1cv7N73tQ7du3TB27Fg88MADzPLIufrx48d93qP7hR0u5le8\nJWn06NG49tprMXbsWLzzzjvYtm0bTp48iZMnT2Lr1q2YPHkynnzySdxwww0YPXp0IOssqYKMS6hN\nuLyoZGdn44svvsDChQvxzjvvMMsIpCUpmnrw2iWSThK+wOoDgjfwABCOT2DRwgZ3vijKpUdkYvTU\nkSNosX072mzfDkVRmC4OxxkZh/Kpwe8QYfEQcbdLKijAWydP4pdLl3B/1UZyQPBEkpUyREWSVkzS\n0qVLLdeLVwc9ysrKfCZTJ06c8P6dnp7uE59Bu2Kw0BJJRmJMtGqvZYmx6m5HH2MJEAC4ac8en9fR\nBkRSlIkU/ymUuzS5CKO3OaWK1RTgWuMduXgmCmuCpjVJJ3E4HH4bHbP+1oNl9bUqksg4Pj0+/vjj\noFiSyH5cl3BBp63TWqv7PEsSz3IrurmyiCWJ1w/tRO2T0ZTLnYpWwiG1rh5FwZwzZ7jnjTt2jCm2\nXiMWB0Rd41n9OJcQFSKWpDZt2vgdI13wKisr/baxaN++PbePaLVVWjSJiP8r1ZIk7MPhdDoxa9Ys\n/Otf/8KCBQv8fOKjo6MxZswY/OlPf7I9yFPChnTBYa1UkZMsHryGH4iGnSng9yoCOViqg6nWhEhP\nnNVxOlEcwIGfnkjqTYwURcFXZ88CALIrKrC7sBBLBR/2JynhRO4Xo7WirfITJ46hfp066NKlC44c\nOeLX1kSSCNDsJBIBmMXtdqO8vBwbN2702XiPPgfwt6JoxSTZjZHyN2zYgNtuuw0AsGvXLu/xyspK\nn0xfItB9mOVuR4tqFlqJCfJdLk2RZCVxA32+6ORMdbcTWZQx425HE+1wwIHLMYIuRYHL40Ek0b7s\nikkSmWiZhSUIjFijePHKLIvnK6+8gg8//NDvOGtBIzIyEk6n01AfqqiowLJly5CVleUXl6dHMPZJ\nGjp0KEaNGoXY2Fh8+eWX3CQNvHH1WEkJkglB5ROTRJxHTvAPCroHk89WUiSRbbgoCJNer0gi3e0E\nLUnqXk/vCbhus9ztzhG/segn5dXn2aNHMatzZ6G+GxkZiXbt2uHkyZPeY2S/orOgqvNsXt/jtZ+z\nVXMLn/oLtGs9lzxSlN1www349ddfAVR/S5IhR/eYmBi8+uqrGD9+PLZu3erNLtWiRQv079/fVJDl\nlQK9eZcdiG6up8LazDGQ7na0qVsrdbBZ1AFHy6VOb0IhIpCead4cX2isSmlBr1brTYxYmXxERdJr\nlIsMLw0pWTYJ75uoExuLBx98EF999RUyqQ1If/rpJ2zatAnt2rXDqFGjhBZJRFMTa+HxeLBlyxbs\n2LFD8xxA25JEvldXMLlI7dq1hROwGJlsbt682SuSaG666SbNz0ojYkkqEOjnaRr9tm/9+viMyjKo\nYncKcL39nFS8liQBC3Ik5RJoBofD4ZNEpczjQVwARBKd5pxHdHS04X20WBMtrURNoudeffXVPm4/\nDz/8sF/6YRWWu11ERASio6O9myiLsGvXLu8YZXRhgY5dNJPURa9ch8Ph/Q60xkqWq+KuggL0oSyn\nIpvJLmFYF92K4mdFFbEksVy/7Ya1+Cm6UfzOggI82rQpEvPzde+jt0+gFUsSAHx+5gxmde7MtfzR\n0HNoWiSxRLyRfgqA6U5ut7sd+Ryt7pYkU35IcXFxGDp0KJ588kk8+eSTGDp0qBRIOpgJvNbDqEhi\nZTDhdQ47GnYwzPJXVZmjL2p0cjtWXVtacLuLptKZ6u3zRItLUVcJAH4PhjKDIok33KrfIaudlZWV\noaCgAMnJyTh27Bi3bnZnvVRT5mrBSgHudDp9XBTUOpeWlvqlzeYhKpDoexuhT58+Pn/X08miRiMS\nk3SO8eCb2KoV/tSqlfe11gJEnYgIYUuSYXc76vzplDjnsbrKNTVYliQaehJpV0wSvWEuDzpLlggs\nq0nLli0tXQ/4P/e0JmNr165FZmamn1Ax+nnoRRwjBMPdjiyX973R16j8/sgRv2MiMUnXMRZ/WC5r\nZBxNHU5MUlBEUtX/pLvdgL17vfstaYkb1cWunoB40Fv4fIpwOX2iaVPueXr9WNQKTFt/rFiSeFx9\n9dV+x0QsSYcI93sWZN8gn6NXpEiSGIdeMTK60seC7DBmM9klJiYKn2uUQIgkF7kih99WVLVcAOyY\nBJVY6OhRDodPoPXLlD8wDf29WXFv+IowrbMeLLQbBi8+Q/0OC4hkDizOMTYXBIAdO3bg7bffxuTJ\nk23bgdvIPmD06jRtMUpKSsKUKVOwbds2W+rGqoNRyP7doEEDOBwOQw9EEZHE4k+tWqERMbkt4dS/\nYdU5Wm1G1IIq4m53yIAwVe8vco7dIimLWoxife5AWZJ+unAB6XXqYEvr1oYC91ntihQbN954o+Hr\nAeNZtL766iu/JCtmRJ9Z6HvT2JG4QVQksSaXLJd1EUsS6/nFSlrAy2JHPjuMbgzL4vkWLTTfZ1mS\nMsrLEbd5MxwbN2KzhpVIHa/yLM5hilwun/7JGufUTWGDJZLssCSx4tdF5nulpaVMVz1WGaRIqu7u\ndlIkBQm6ER5mbMJmFKOWJFZHoNMOa51rFBGRZNS6QJZZi7GPBQs7JkFm9jZSiXI6fTJgAcBGjT1M\n6O/NSrzUBiLAX2sgP1BUhEuVlXDqiKRWhIWBBe+hv3btWu/fn376qc/v9vTTT2uWyUOk7fBceBo2\nbOhzHp0i1U6MPCTI75euM/m/CCIpwFnEOJ0+7YC3QKAK/3OciS/tymY1Bbgot1fFwYhakvQSN9xH\n7NsjAt2HrCZuUM+hN8xlMSQ5GZ916YKfO3TADMISqVtnRnnJycnev/Uy3fH2WaHHC5FVZbqdBlMk\nhZMlifVdsdqSSEwS6xnCWjTjWZLIdmp18fO6uDh81LGjz0IMjdqHRNL488izuBhHi0jWKJFR1e71\n+jEvGyHNE0884f379ttv94udtcOSxJozibbrfRqbAktLksQSdCNctmyZ5TKNpjo1sgpmZbU/u7wc\niqIIDaaiEyFFubwXChmXIJra246UpXq+y1rQliQAOKKxKp5J+d/zJqGiqAMrLyPQJ1lZ6JGUhA47\nd+I853dXJ5yDBw/WvJfIgE26DTidTrTQWFUkM0HRGLEkkf0vKirKsFXGCkZEEu/hIiqSeLFWdD3U\nB+UHjD3tYpxOnwcDz5KktmnepzOSsIRVBn3+VYKT5aZV+zbZZUkSSZM+oH5979/0SrsdMUmKwt4w\nV4sCA5nhIiIiMGrUKO77elnieBvXWnHDVzdzDVY/bd++vV/afRo7EjeIiiTWxJWV0lrEksSy/rDc\nvjcRi2p1yLg64lyWBcoIIxs3RpTTiY1Eemsa9RcXyVDJ44JFkUT320pFYS6YKIrC7cfqhtailqTo\n6GhvWv0BAwYIWZK02hBJSUkJcnNzbbWQkpAx92Q8nV2eI6FCiqQgQQ94vTQGCMDYBFD0fCOrYGYb\n9h+PHkWr7dvx+OHDKBUQbiKThLPl5XBu2oTYxEQ0IdyhRDeJ1UvqsKZHD90ybhAM6GfBEkk8iw0A\nfEj51E8gNhw1g9bGlY0jIzG+qvyLLhf+ybEsqgN7w4YN8eabb2LIkCHM80QmNKRPdGRkpF8KYZVO\nnTrh0Ucf5ZYj0uZVoUC2Z3XyE83ZBNVujFhLKysroSgKJk+e7LNqJyqSyPfLysqQSuxAz3rAPssQ\nqHEREWKWpKp78fZRMpQCXMCS1I3hJsJifpXLp10pwGsLtGlyQkm7x/I2k9WaXJG4q85Tz4wA38XR\nLE6nE506dfK+ptMKN2vWTPN6Vixft27dAPgudJB7felhxnpqBUVR/EQSLZR4nhd68NLvG7UksRCJ\nSWIJIpbYIdtqNrE4J5o0QQT1eazVP1nZ7Yzg8ngsudupi7IkFYqC+V27YkGXLj7HV1244CMi+xOx\noxWMZ6/IuMSyEvFikkSZOnUqZs6cie3bt/u9Jzrf492TztBYn1g0MpKGPxwxJJJyc3PxxRdfYPLk\nyfjqq6+48QcSX+jBVwSRRmtVJGkFn5sRSSnFxd5AyPnnzuFzgWxwIhaaP3NcPUgXtv9SAxeJ1g7h\nLkXBEMr1isUjTZvi/quuQifO5ohaRDudfkJNq+MtN5iRSQ/V+iaSuIEHufrFEzUAWxDQbYkcaNVJ\nCGvV9pprrtF8EIiID7VfkL7eqmtQIJKpsFCqJsQiuFwuvP32237HRVcN6fe/++47755KLJFUj/Ed\nOB0OQ5Yk3sqyX+IGjXqLZLfzsaTY5GYb6XDoTlroBY5bGGmtC4gJ7SVqnOX1MdEVeTfEXO2soJXx\nEQCGDRumeT2rfasTvJEjR6Jfv3549NFHhbNHAmIxF48++igeeeQR3HTTTcLl8vB4PH4iqV+/fpbL\nBeyLSWJBWhV5MYDbGbGkegmEfCxJRFlaexSJ4N3sWeOze2OSTLb1Yo/HkltghaL4fT8VHg9inE48\nTCVwWH7+vM93Tc431H5Lfn9G3P9FLElGQxZY83bR+Snvebx69Wqf16Qlye6ETcFGuAWmpKRg+PDh\nmDZtGhYsWIApU6Zg2LBh3MB/yW+wBju9RhkIkUSXeYTKlHPttdcauj/Nwykphq8RWZVaytkckZy8\n9NZw69BbCRZZkYlwOLCoe3ccNeDnrxLlcPiJpGDuJaZaAvR80LWgB3bew53V1k9TKaLJ+AVVqLAm\nQmosAu9eRixJK1as8B47VbV/hl2xDryU3ax6kLD6GK/fia6q0wJWURRv/KPIKmT3qtTEIpakX6tW\nD3mTLUOJGxjH6PPJ9qvVp2dXWUREY5L0XNdoq+93Xbv6nUNOQufn5Pi8x5tUiljagcsC0qirnVGc\nTqdP2/J4PD6ChrXfEYmWSKpfvz4GDx7sY0EWcRESsSDFx8ejU6dOtliF3W63n0iKi4vDc88953Oe\nmUkfz91O6zNq7XNG4mNJIq8nzl/BWHjTWyC7h3AtI/uiFddzwJglyexTkpXsqIGBRbE3Tpzwezby\nnpWb8/O5IollSTIrkjweD9Mi2bBhQ8vZpUXbNO+5QXtG0f2xOsclCY+2M2bMQKNGjTB//nzs378f\ny5YtQ0JCAt55551A1q9GwBJEehM8kX1krGa3o1fSexBuZ0az7ymKggMm9oESEUm8xAWk8NCaONQ2\nMaloGhXF9Zl+ID7eUFlRDoffYK+1ijdUwLJlBE1LkuBqmxWRRLvukFYdLUuSnkgykriBhRlLEktY\n8fZ90asHa980ae4rywAAIABJREFU3uKJqEhSFMXvc6nfk2h2OwBCliQV3qTJsrsdfR8qaQuPjlWr\nmKzJCH1VJJWenwX9blPGhLwh8Z13ptwCed+P6Eq3m3L9iQnAAgvLkkQKdj0Rwnr+aLXVxx57TLdO\nIivl6j3ssAq73W6/jWwBoEmTJj7nmUneYEdMEq8fkmKDl3Kf5S1BP4MURfERWaSVuTLYIqnqf60s\ndlqkMMZWI/FNUzMzMZda7OA9swfVr+/zbCXHJpeiYEZWFi6QMbEG5iNa7nakd8GYMWNwxx13CJdr\nFl57JcVTx44d/cSUHYnAQoXwr7Vv3z68/PLL6N27N2JiYnDNNdfgjTf+n737Do+qSv8A/p30AoFQ\nEhBCCCEQIISEECGhBukgKkixoKi4qNiwwfKjyCKiYl1WFFZXXWVRURAVRCygK4p0pEUhUoJSQug1\n7f7+IDN758y5bUomCd/P8/hIpt6ZueW857znPVOQn5/PtDsDVoIk+0FgZvE8T9PtjqhOAgkJCU4X\nQqsjSWYXehR5csJVB0l6J0C9BlWCZHLzmvR0HMrORneN3lOjxnmckJ8fbLPhTyHo1Pu+9NID3WEf\nCZAFSWb7d8wGSbIqV+K+6a0gycq8vYSEBMdtffv2BaBdrtxOVipV1lg0MyIlOweYHV0C/nexNApu\nZEHSV199pZmqoUU9emJ0hOoFSd4s3FCs0RARhes0wsRUNVMjSbr3XnarKgWniXBO0fp+GkrmBsiI\nI0lHTJ6bOx08aOpxwP+KJKipr0FG+3hOTo7LbXpBUjNJwRCt5+udb+378b59+wxfz0hJSYlLgRc7\ndUePp0GSu3OSzmi8r5nCDW0lHTlFioLcc+dwUZVpoH5HdeeiuoPC0yAp1MJIkrumSvYHq0UgxPm5\n6s/9gGoNsSNFRU4dHsFCx8vDwpxib6fbAZcD+c6dOzt1dLtL77jVuubKtkt9/azKxRtMB0lnzpxB\nrJCLmZSUBEVRcLx88T6SMxMkFRUVYfbs2fjb3/6GQ4cOmUo18DTdTr045alTp5wagFZ/01Nu9hTo\nNZx+v3ABHx496qgQIwo1GSS9I/QIqdlPZk/ExQEAsqOikBUVpZsO97tBADupSROnv4MDAnBYCJL0\n1l2ysnisGfaAzJOLm9kgac2aNS63uRsk2fdHvSDJbA+3OkfabGpCE+F31NpOrV5s9bZt2bIFW7du\ndfouZOcFo5Ekd4Ik4HLZdTMlwB1VB3XfxZnWfmXzsAQ4ADy6Zw8OlwfeZoMke+eJrDEipr2KDRqZ\nFBMjherzjzg662mjshTAXmH9FABobLDwcaCF80hgYKDuOc/oeiS2Dcw8x8ip8lEEMyNJderU8ei9\ngMuNUPXSHOrjSP1vq0GSOCfR3TlJBRoNTacS4BpzAGVXm6l796LV+vVou2EDisvKXCquOu3TXpyT\nZE+FMzMnyV2yoNCTSnmAc4Ea9esvLSzE3aoCOUE2m+68QStBkji6a5Qy3aNHDzRs2ND068vodYho\nBTuy9cXUr3NFBEllZWUuB7S9EVCV8w0rgrrClJ3YcPznP//pKKQwf/58UydiT0eS1AdcUlKS005d\nVFSEDz74wPA17Z5zc5VzrQbENydOIPHnnzFi507NnlN148bdE6D9ZPZsYiLyOnbE9+nphvOF9EoR\nPx4X55L7HGKzYYZqJAPQT2GSlXn1hP29PKlKZDZIku2HZoIk2YnZfp/W76EoiuHJV7aYrNnUHFnF\nLlkaqtbrqZ//9ddf45NPPsH27dsdt8mOca00V7OFGxRFkT7mxIkTmr3ZPVUjpkPKU0n1qi/a2dNC\n9YJ6rfQfkVaFvBcPHsTY8vOnOt1Fb05SqE6QJAZXQSZGklpGRGBsw4aICw3F4vKKbSKtBiXgeaOy\nVFGk2/hJSgqu1imEEGjheNfbr0JCQtyaQ1kRVens2+1pwxBwbcccVI3EqY9xqw0+sZfd3ZGk1A0b\npI8zM5IkO/d/WV62fc+FC1hWWIilQhUy9fGjXnTc06B/bfn8Pb1gwf45Ei2UsVdrKOk8szqXL0Po\nTFN/ar1sjyDJHGQ1K20VsyNJdtHR0fjLX/5i+vVl9K6PWvu+ertkKbAlJSXYsGEDpk+fjunTp1ep\nYg4sAe5jhYWFLpU/ANeGo1gmsSKq24kHnNhQFQs76NFrCMiqQTm2SeNg6bV1q+F7qntr9E64Nws5\n5WrqE2ez8HBTPViyVc/tagYGumxLsM2GyMBAPKQaotcbSdKbr+ROKfILqnQKd5kNkmTEi72scIMs\nSDIaSSoqKjI82drfW73vm228yeYFiiuiA9o9b7Iga8mSJY5/y45xrePYykiSrEGbmpqqeYH9Z8uW\n6BwVhcF16+Kv5aNnZr6hv5SXD9fbX80WbtDrZrNPOvfGSJL4vNCAAMORpCCbDa+3bIkDWVm4QWM+\norpXXJzg7fFIkqI4Xahblo+KZtSsiZ8zMjSfF2DhffWOCbMFTsQCJt4KkvSubfb3CHej6qhIPE+p\nR8c8GUmSrXdm5/US4OrnGwRJapcUBe2Fa4t6nz6vWsjU0xLgLyYmXn59E3OSFqekuPUesvl+VjtS\nxddQ/2UUJGmNJNlgrgPK8Vqq/U6cM+erTgi9411r35ddW8SRJPWC7QsXLvR0MyuMpSDp559/xsqV\nKx3/ffXVV7DZbC63r1y50isb9/nnn6Nly5ZO/913331eee2K8qNqXR81o6DGFyNJYi+1OEQqOzgK\nNCrLifRSP/Tu8+SE65Rup3OxeVBY9V3NnXUYjBpo4rbY/26o+h5e+eMPzdfQ65mfIEkBM1KRI0mA\na5UovX3TzEiS1ntZmbfnzkiSbJFb2YVJ6/WMGpdWGltWgiSZ8PBwaW8fcLlz4If27bG0bVtHWX0z\nF3L78Sc2roD/FTfRSv8RmVlU2mqQdEQyKhcu/H6hAQGGjSezVfIc2yns7542KksU54W5ZYUjZKyk\n29n3K9n6fWaDJPE4MNpXR4wYoXt/o/JOpT90zpX291Cv8WTWVVddhVaqpSPE4zGxvDEPeBYk6fX+\nWyncME5j0W13R5LUIgICnEZze0VHu3R+nLXY2bYzM1N6e+3y/cnMnKTUGjVwr85i41pkqYliaX4j\np4UgVf39ROr8bsEBrkt+2FlJtQNc9zutc7jojjvusPQ+ar4IksTn7d692+3tq2iWSsK88MIL0tuf\ne+45p79tNptTbq+7du/ejd69e2PatGmO22S9s5WZVpqCN4Ikq9XtxJ5rcceWNfbMXhD0Fm7Tqy7X\n75dfkJ+VZeo9REbpdvWCgzEqNlY3JcWdNUc+TUlB3Nq1AIA5zZvjid9/d8z7uToqyqX8qH3bXjSZ\nkqiXbhdis+HxuDjMtpDeqFfdzixxhE3v4q6ueDl16lRTQZJeQQRvBEmykaRrrrkG33zzjfR5UVFR\niCufp6YmO55lF6vAwEDDxqWsyIUWs0FSmarHV62oqMhpO61Ut9NiP/5eb9EC8eXHg5193TK9wg2l\nioLDRUVoFBqqmW6nZrYEuP2Y/k5SGUs6kmTwXZhp2KjPRS7pdh4GScVCkKSXyqNmJd1Ob26P2SBJ\nfJxRT3dycjJGjBihmdZt1JmhTl0LDAxE/fr1TXfqAZercHXu3NnRVhFHbtSfR32feN4pLS3F4sWL\nceLECVx//fUu1fC8MZJ0/PhxbFi3DpB0+JmZk2R07r9YVuaUTlYrMNDlOd+ePInr6tUzvT8nGyz+\nrDsHTnXf3BYtEB8Whoka6yXKvHX4sMttYvEkI2eE/UFdyKmGzr4dFhCgWYHS6lwrcQqE2ZGkJk2a\nYPz48XjppZcsvZ/4niIrc5L0UlQ7urGUir+YDpK0GhOiP//8Ex9//LHbG6SWl5eHli1bor7FksuV\nidaOfODAAaxcuRIdO3Z0Wp0YuLxz+SLdTlwtXC9X2srrAvqjH3qNkIOXLuGXs2eR6kadf73CDckR\nEdh19dWGr+FOJbnGYWE4mp2N4yUlaBkRgVaRkRi/Zw96RUeje+3aWCkUvbA3oP6WkIB7JPPTREbf\n5XOJiehXpw4e2L0bO3UWBLZzrJPkwdwId9Pttm/frtuxYT+Ryh5jFCSZCTL0RpKys7Ol5zV7p0xe\nXp7h6wPaQZJRI/Gjjz4y9frq97CS5qhWVFTkFIhaqW6nxX7MidXcgP8dm1rpdqWKgowNG7D13Dk8\nn5hoWGXxQmmp85wkEyNJsrVSXIIkE4UbTI0kqSuBeTlIKiorc+o4Mdux485Ikl6VSSPi48zsq3qF\nV+z7/J133ol//etfLveLr2913TOxY1DsSFG/vjr4+vnnn52q823atAk7y9cIXLRoEcaNG+f0PrIG\npNbfsudNnz4dAHBQtY6hmjdGksQgKTwwEBlC5+Jnx45dDpJM7ldm5rE92rgxXjx4EK0iIpyuZWKn\nSa0KmN8mOi10/P5ffLzj33rthrCAABzQuDaZ6QxSE0djrKTbRUVFIT09HZs3b3b7PUVm5iSZKdzg\njXXNKorpK26jRo00/4uNjcW2bdswdepUjB49GkuXLvXKxu3Zs8epdG9VpHcS/Omnn/D5559L7/NF\nup0YjJkpCWx2kqpeQ8AoneUDN0vIqxs34gnZ7I5d082Tb/2QEMd6KNdER+OXzEy82Lw5ANfPa29A\n5RgsyGinGySVv3bP6GjTr1fRI0lO733hgqm1imSNM/tF4ET5BGORlSBJNpIk+wzqBTTFi1CPHj10\nF80Ub9u7d6/h9plltnCDFnH+ljdGktSBgdbj1e95444djn9/UViIreWTwR/LyzNsPLx35IjTXB8z\nI0kyvhpJ8mnhBgB/qPb1vSZGUAEgxEJBJb11uMw2aMT5eu7uq+I2xcXFYdKkSZgwYYL0fq2/jdhs\nNs2GvF5DUV35VVEULF++3PG3OLcYkE9qtzNKtytULQJboDEyozUnqcRCkPT24cNYpAoEwyXHhX0k\nxdOgX+355s1xsksXLBIKonwsfI9immxFUB+1j8XFOQVGRkGSOAole00zxNEYq3OS3Jm35K0gSb3t\nVrImKhuPzmJ5eXl49tln0a1bN4wfPx6//vorbrnlFnz44Yceb1hRURHy8/OxatUq9O7dG7169cLz\nzz9veZFTfzNKGdgj1NAHLp+8zXxOT0uAmwmSjII1RVFw+PBhx1oLMkZBUpaqFLldqomyu3qNIbOD\n2noFFNwlnkDtnz9KuH19eZUfkdlRObPVevTWSTJLbCiaPfmuW7fOVLqd7Dgx6omUFVEQ2S8qZuck\n9evXz/Fv8TPWqlVLM0hqXh4g2+k1fty5YNi/C6OGZ7du3TTf0911krSoj2utPetzVSNPTZwzYDQn\n6XRpqdP+q5e2Yr/v78JvArgGV2EmCzcY8WUJcABOC1tuN7lod5gbc95kx4aZhc0B17lDZgoP1KtX\nz3CbgMsNN3FRavH8YLVBaM+eMBMYpqtGcdTzmNatW2f4Pp6MJKlHm0fu2IFgyXfqjZGkb0+edDpW\n7aOxo1TFK+x7tZX9+Y4GDQwfExUUhNbC9f6A0BFgNsVUz/2qwklWiZ0rekGS3l5oZu6lmjpgOXPm\njN+DJDNzkuzvqT6GxIXTq9Lispb3vIsXL2Lx4sW46aabMGjQILz//vs4ceIEpkyZgu+//x6TJk1C\n27ZtPd6w/fv3o6SkBBEREZgzZw6eeOIJfPbZZ5g1a5bHr12R3F0J3BdB0v79+zWf7+5I0ueff455\n8+YhV2MiXtdatQwb8+fKynC2pAQfHD2K/PKTo5mTiV6QZLaCzFKNRpwnxBOqfVuihH2h+5Yt0ueL\n1bHU1BdEs4GgN9ZJcnckqbCw0K3CDdddd53hax86dMjwMbKRJL1jsnXr1o5/i59Rr/KclV7tw5J8\neSOO9Ysk33uLFi2QlZWFjh07okuXLtLHiJN+vTknCdAOkrSayeK+u/rkSd33Ekd839NZ+8xutKSB\nVhEjSe5Wt5uts8CquqSxXrVQNStBkl66nWx0RCY7O9vp7zNnzhg+JyoqCgMHDkR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f3K2e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iIiIiIq0xSCIiIiIiIhJhkERERERERCTCIImIiIiIiEiEQRIREREREZEIgySV5OTk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\nguDw/5YZs8pSr7UDAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1008x864 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotting segmented QoM in the three directions with color-coded conditions for one participant\n",
    "f = plt.figure(figsize=(14,12))\n",
    "hfont = {'fontname':'Helvetica'}\n",
    "\n",
    "\n",
    "axX = plt.subplot(3, 1, 1)\n",
    "axX.set_facecolor(\"white\")\n",
    "for i in range(0,4,1):\n",
    "  axX.plot(QoMX_smooth_segmented_sil[2][i][2], 'gray', lw=3, label='_nolegend_') #plotting silence segments\n",
    "for j in range(0,3,1):\n",
    "  axX.plot(QoMX_smooth_segmented_mus[2][j][2], 'c', lw=3, label='_nolegend_') #plotting music segments\n",
    "  \n",
    "plt.plot([], label=\"Silence\", color='gray')  \n",
    "plt.plot([], label=\"Stimuli\", color='c')\n",
    "plt.tick_params(axis='both', which='major', labelsize=14)\n",
    "plt.ylabel('AP QoM (mm/s)', fontsize=16);\n",
    "plt.legend(loc='upper right', fontsize=14)\n",
    "\n",
    "\n",
    "axZ = plt.subplot(3, 1, 2)\n",
    "axZ.set_facecolor(\"white\")\n",
    "for i in range(0,4,1):\n",
    "  axZ.plot(QoMY_smooth_segmented_sil[2][i][2], 'gray', lw=3, label='_nolegend_') #plotting silence segments\n",
    "for j in range(0,3,1):\n",
    "  axZ.plot(QoMY_smooth_segmented_mus[2][j][2], 'c', lw=3, label='_nolegend_') #plotting music segments\n",
    "  \n",
    "plt.plot([], label=\"Silence\", color='gray')  \n",
    "plt.plot([], label=\"Stimuli\", color='c')\n",
    "plt.tick_params(axis='both', which='major', labelsize=14)\n",
    "plt.ylabel('ML QoM (mm/s)', fontsize=16);\n",
    "plt.legend(loc='upper right', fontsize=14)\n",
    "\n",
    "\n",
    "axY = plt.subplot(3, 1, 3)\n",
    "axY.set_facecolor(\"white\")\n",
    "for i in range(0,4,1):\n",
    "  axY.plot(QoMZ_smooth_segmented_sil[2][i][2], 'gray', lw=3, label='_nolegend_') #plotting silence segments\n",
    "for j in range(0,3,1):\n",
    "  axY.plot(QoMZ_smooth_segmented_mus[2][j][2], 'c', lw=3, label='_nolegend_') #plotting music segments\n",
    "  \n",
    "plt.plot([], label=\"Silence\", color='gray')  \n",
    "plt.plot([], label=\"Stimuli\", color='c')\n",
    "plt.tick_params(axis='both', which='major', labelsize=14)\n",
    "plt.xlabel('Time (s)', fontsize=16);\n",
    "plt.ylabel('SI QoM (mm/s)', fontsize=16);\n",
    "plt.legend(loc='upper right', fontsize=14)\n",
    "\n",
    "\n",
    "plt.subplots_adjust(hspace=0.5)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 541
    },
    "colab_type": "code",
    "id": "ZiQaI9nk5MxN",
    "outputId": "88e27850-991d-43c1-e6b5-aac9cbc72fcc"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fc6e1ffbcf8>"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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MmzYNCQkJaNu2LQ4ePMiMVGJJRkaG3ntRqGjRoihevLjeND8/P2b0i6ysLHz33XdM+U21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\nLa3Hkmb57tCGREm1Rh1l0fx7ct1jRWy+I8arr77auW3ZsmWhMiYZZ4K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C/z1KSj1llMLZ\nP0xbdXFztB0flJt4jx78V7JJTnQx+e7Wxyb4oZ8gC4+LG0TM49Z4fK58m9kgIB+EBwWvQqBAKuqa\n+vRdkbO4lWqTMVqoSWJ8Mhw9zjlVarxg/z0P6fJBgV1FQrhIh1j/YRUAMs2r5FFzTRCm0iOCOkZ2\n7NhhFE9nDB522GHGdQsJo8Vfhg0bhpEjR2LUqFHIZrOhBVxMMXz4cJx22mn48Y9/jPfeew+PPPII\nnnzySXzxi1+0jt0doWv/sJn8pUKcJEikLlNalNk/WjpSDBaTpzrysi8hpToO+wd1EjMVxaxU5x8O\njJRqUSXR8ddVsDt3s0q1Q9JuG4vXd1+wna1ncDwOHDgQi6UjX9ZkvIvON1cPeIVQqjUiBf7mker2\n/c37FmrGSQn2JQTRwyK5TOSOII5DQDbDsV4xOPzwkdL9puNbFk/2WYZBgwaFPrNpg4sV5Cmzu3bt\nwty5czFnzhwsXrwYlZWVmDZtGm655RZMnz7dSWduvvlm/OQnP8Gll16K/v3744YbbsBxxx3nJHZ3\ng+0FsNiV6vwlVeipJto/eBMV/3v+fNy4cCH+7wknkOIU40RFl4iDVNvcxOP2eFPa0iHV1dXVaGpq\nMjsPRO0ISbVh7Aip1oijim8bi0uqiUE17TDPP/88Fi1ahL59OUubc8OE47iyf1BFDldKdRwqnrs3\nOjxSHdzrwwOQaVoe3uGxczJkcUyU+xyymW3wfZdeXRlRtgjjCCeccDzmL1wtbjZmUk1FLpfDAw88\nENq2bds2jBo1ykW3YoWUVG/ZsgVz5szBnDlzsHTpUlRXV+OMM87ArbfeitNPP106WYICdhnjfv36\n4Y477rCKebCgmJRqG5h6qo2U6o7/f75gAQDg90uW4KLx4637KENvwWQ8HiI3Qo2y1H2mfbGB7liz\nIdWFsH/YHStNUi0qT1F1dcqTIFLUFLX21RP64pO+ky98+ODXXbRoEQBg9+7dil4GQ8Wjagfx3nvv\nGcVzafMomFLN2DaAdhuIKrrnsS/S5eRcF417n0Jb8wfqgkIQlGpOGV90XoWOdzysuqKiEn379hWe\nH9Tf3HSVXmr8ZcuWRbZVVRViMqo+hKT6kksuwbvvvou6ujqcddZZuOqqq3DKKacYpyoqQQ9F5am2\niCVUqvMp9QSkh7yiIlOPjddKmPCZ1IvDyOW2gPYPyopzNvF1tydJqnWV6vxncssU+0dri7quTjvF\nkqcaQG7eLKSnnS2vT4npS4i3Iw9tUkr1+vXrjeK5VKpdq9mulGrxSaJSo1UJVeWwI9T8NvOqu7gE\nAmPakaqdh1cB+KoUnp50jFOVatOxRK23d+/eyLaePXsatZk0hKR6xYoV8DwPdXV1WLZsGffJIQ/P\n8/DEE0/E0sFDFbbqn1NPtUVdY6WaSKrZ7B9tzPfOEo5DMdo/MqJFQ+CGWNos9kKJr7s9LlItiqFD\nqvN9M2pZ1E4qxVerRY3oKtUuHhVjtX8ItkfKmXnMdZCEUn366adj4cKoZ9gVqaaguDzVgt0hMGVD\nYQqfZpf/PlXnPJSVNTj2nHOlqnY6mhsWdG3w1KSagjVr1tC65FDsi8PiFAeEpPqiiy46JPNDFwsO\nFqVaVVPoqSbEZu0fOd/HZmZ54haCUm1Dqm3y4cpaffvtt4X7XNwcba1bLS1dSmsSlgxTiNoyUaoN\ne8DfnBOyZ/vYgFul2pZVc0l1Th3X98XHyZFoYKJUmyh5ZWX8W60r+wdljoMuYvVUe57BsGLjePxd\nHWhtXIHWpndQWX08yqvG6Dam2R/RJgnxJpVlSviyxYei9zovHU1r6kKppqJYY8UJIam+6aabkuzH\nIYv169dj3rx5GDNmDE499dTO7baeaqee2RjsH3nYKtXBy8OepiZ84dFHQ2XmdywxbdNHKtpyOZSl\nxAl1IrqEYbsu3kKkJP2k4sCBA6iurnaipiVt/9CpY2f/IJBnL9WlMgntDoobOLvfxZjuVKo1Y9X2\nYgMJ4hPaT+BGGvy9TZYg123DNhavHoVUv/nmmzjiiCOM2zCHQqk2zVPthfeGPvkZNNXPAgA0tm5E\n78OupXWV0o88seV2m/JdfOZ/0ziUOtHjXUhSfUgr1TzMnz8fS5Yswf79+9GnTx9MmTIF06ZNKyna\nFrjnnnsAAGvXrsWRRx7ZudiNrVKd9426+G1shrIq+wdvv+/TJip6CF8gnv7AzCNnS6oz2SzOuO8+\nrNy5EzMvuQRnjx5Nase0XRfE0sW4WL58OU4++eREiK6srklbJvYPjVaDwdTFgzdoCgmntOPyBqQZ\nKzXlZHV9n/I+yoeO/cOU7OraP0yUalNS7ZJIrFixAp/5zGfI5V1ZrYLouu6YXH/YlRkl5DAnts/Z\nIwcgDeU5KYSIVFPr0o+dx2RN9gieagr69evH3Z7JZPDyyy+jrKwMp5xyinF8m74VGiRS3djYiKuu\nugqvvfYaevfujb59+2Lnzp3485//jClTpuCuu+7qNibyYsa2bds6SbWLjArFgDhXVEynUg7mgNuT\n6j+/8QZe2rABADDjgQfgX389t5yO/UOGJEmsDL16sYqkul3RdtMJYCblTe0fdKWaWrADlAcc1f07\njvPfNGaaua2ISDWBU+so9y6uga7sH7x6Ott168Vh/1CB1o5KpWbLBCGbqKiYxMjasRmBye4YaZBq\n2XXGmRotQSSDipuJikOHDuVuf/nllzF//nwA7dk6RNdfE1GnWDKaqUB6B/zrX/8aq1atwl133YXF\nixfj2WefxWuvvYa//OUv+Oijj/Db3/427n4ecrBVqgF3g9DmAmSU/YPYZtrz8KggVZUObG9CK7Zv\np7XjqN2kSHVNTY00Rl1dHQD+TO04+mMCt/YP6o1AU6kOWnFMlepYsn/4ZrEifMdQqfZ9ST5vN2PI\nRKk2QTEo1bpw07aICBvIIaHuyJXq6MW2DblsAxr3PIPmhkWgrbUriq1zXGTnreTBSBivq99eWi5q\ntIOleCknSnXw3hBEnlADwAsvvOD0fClW4ZAFiVTPmjUL11xzDU477bTQ9tNPPx1XX301Zs2aFUvn\nDjWEJt1peqpbW6OpdJxNWLGpa6hUU9pMp1KY0F+wDLQGbJVq6lN3oewfpjGCkxllFpI33nhDq41C\n2z9MlWojUO0fqvLce7OEvOc/V9DzqAvj637/6NMjrRyvQDdVquO2fyShVLsh/DZKtaRc5HeKDLrQ\np0zzeziw62FkmleiZf9iZJpWEtuU9UP0sCjrF68Mr6z6nEmlegjiBMAq1Z6HLVu2CItTx3d+lVkZ\nRLGSEpMKBRKpbm5uxpAhQ7j7hgwZgvr6eu6+EsyhO4DmzZtnHUPYF4u6SvuHAenJI+15OEEwLnVg\nTaqJ5bqb/UPVTp6AiFa5Klb7R+yeat0flvRQprg5i4hspcWCCeYDVP4ZADn7hwapNn3bEYenmtqG\nK6U6jvOn6JRqWfaPCMJjoWnfAuSyXWlEm+pnk1tNlx/G9CLX+Ze8jwpQCLgkPuX3YT3VKsrnmri6\nJNUHlf1jwoQJ+Pe//83d9+ijj2Ls2LFOO3WowkapDqY4o9ahIg77R2dsQR2qUi3LtkGFVUo9aKwu\npdGubJll3d/jww8/jGxz4dnPbxs+fLh1rIMq+4fJREVVeVOl2mqxLlOlmkKqoT6gvqRth/aPIFxl\n/0haqXaxTxekWMEywmMrikP3VEfvGOwYDN8fvVQ01ZwIXqoHvKAq3PkGh1I7Wqhx71Noa90oDyA8\ntsExTrm2MBMVIx5rtll3i7/4vu9UcO0uSjVpouL3vvc9XH755di8eTPOOecc9O/fHzt37sSsWbPw\n9ttv4/bbb4+7n4ccdEk1JYYpklaqF6xbhxpCHuW05yHtIItFUko1205SN8YGJnc3NYbqlbJLP2iS\nnurY7R/B4q5ItfI1soBUlFmQ6nxI7fODQqqJrDoGUu15nrFdotBK9axZs7BmzZrIks3dWqkmNxOO\nJb3uKo9rG7XRzva6IFaqaXKQjwO7/okevT8Z2a6uSZ/Z0Q62dAojR47EWkGqWdek2rSuy3pJg0Sq\nTzzxRPzpT3/Crbfeil/+8pfw/fbZmxMmTMDtt9+OM844I+5+HhII5g5OyjcbN1Qp9UQ9pKTHKwal\nGtBQqjXsH3GrTS6V6qTsKC7bMrF/jAT1RixQkPsPBHZyJrUq1CNxM2ql2isvt3go1qhZWQW0NEv7\nEomt+i0l9o/c268jdfxJ8AYMDhSn9TdIqnWV6kJ6qjds2IDFixdrt63TnmnfJKUCf3vcP4XjzA+n\nxQu21/47SSbcRSYiphFaHMWPvtmVI3iO+sz/4OwTfaaWpTxcU45/Olzbb5OuUeDy4axEqhWYPn06\npk+fjsbGRjQ0NKC2traURs8xbOwfPBSD/UOpRVnETnueMake378/3tu5s70Pxj1oh0FOCAByMu/7\nPpoA8KaDJEWqqTdV3YtnUp5qV+pg/vMYMqkO1e76M5XmF4nF/pFv0+Khs5M7qMeKN2AQ/I3r+H3R\nmqzFlBGVa2pE212/R9n3fwqvR/t9SEepDjfDkjVZl8zOPVHfdOJt3bpVuI+qvOs8TDsRdgK/vafp\nqfYiE/FEqje/5SBSZX2Ra9uhbFPQE+YczXW0YHt8BOcsuYq6QnQ8ZxNb/MVmzNsIL4UGiVSvWbMG\n8+fPx+bNm5HL5TBkyBCceuqpGD9+PADggQceQK9evfCpT30q1s4e7JDl0Swoqbaoq0ypZxE7nUoh\nbUgaJg8e3EmqbZcpN83+ISN9dxw4gPcBnA3gVM5+WyShVOtsj0OpFpXVVarzn5vgoZYyYkVikmis\nphzYP0TqcOC4eqPHwV/9viC+uM3snCc16kj6woamEmsRWluQe3Mx0qe2vyk1IdW6JIJaPpPJ4Oab\nb8bFF1+MsWPHGj/gBb+TCwW6sPYPzTLSDB+RRNTSzxU9JqG5YT6hLyIE3iJrqM/yY2iiVAfGOOn3\nYY+hm8VCxcgFAAAgAElEQVRfKOXa2kxECLs2iwFSUr1371787Gc/w3PPPRf5QrfccgumTZuGq6++\nGr/73e/wi1/8ItaOHgpwrVS7erJ71nClQsDMU02FjVJdHqhXbNk/lmzahPc7LkjPoXCkmqp+JWn/\ncAFTUt1smafaS6X4v3noJmeoVIv2Bcqkpp6GrAap9le+g7Z/3gP/A830YyRSTfi9fV9dLhDbVKmm\n7mtvjk7Cm5qa8OCDD+L666938ircBeFxSUxIsYJlPL5SLY6iWuCFnv3DTr7x4MELRNDJ/qHTru4D\niBmpVtk/XHmqXdft9qS6tbUVX//617F69Wp861vfwowZMzB8+HCkUils3LgRzz33HO6++25ccskl\nOPnkk3H22Wcn2e+DEu5WfHIXAwB2NTUZ1zXJ/kFFOpUynqhYke56FV9searfkOQRBZIbGypS7VKp\nPnDggLI/spi27VP2k0m1L7jxicZJ0FMt7JqmUs3L3KF9rvjw33uHVjSYD5tCqmXbg/tVZQJfiUqq\n2bkrLh4KTevojEXZ96P2KWn7B/OqpvMvL7SH2o5EqVaSWduHdt4CTYI3MPINgTAmBFyXVANllWPQ\n1vIhvFQN0uWDnNg/qGMjlUo5EQht6iUNIal+8MEH8dFHH2HmzJk48sgjQ/tGjx6N0aNHo6qqCjfd\ndBOmTp0ae0cPRsgmyRSTp9oGbia78FEMSrUqW2oQkUuooN2U42NWW1sbyQCSzWYFpeltqki1TqzX\nXnvNuK5uWZVSLYrRZLsKnGiskjzVuqSac4N0MKmXi4GD4Y0cA/+jVfy+qPougA+S8zYQkvabqpTq\niy66SJhC1tRz6oJUJ61Uu7l2i4hw9DdIVwxHtnVDsAFJKNWVN1zXp7wZEcFjPNV5gs79+ubKtOxT\n12Z9pbpH3Qy0NR+Bsorh8Lx0YvYPUTnX8xKKDcKr7BNPPIHLL788QqjzaG5uxh133IGJEydi9mx6\nIvUSuiDzTReTp9oGKsJqQ2htsn+UF0Cppto/VEnQdH9XNv0WUNiJijZwpVRTiUfwb7r9IxgscJwp\nExVNb8rc78MovTGQ6vSX/y/KvnF12BdOTamnVKpzsSjV4W5Ex8Lo0aOVdUzaobYvque6nAqU8/+p\np57C/fffj50d81M4pSgtEbcHf1+5Uh0l0XaELNe2i9OW+rtlmt6TRWU+6x0r6kTJVKoHKnoejVRZ\nXcdne/uHCBVMKtzE7UZFAOHRXbt2LU488URhxa1bt+Lkk0/GD3/4Q6xbty6Wzh3skKnRLp7KimEQ\nighr2sVERc8znqhYZpi+kEeMTfNUi47NxEGDtPqgggsPc9xKdRwQtdPa2mpEPMzsHwGQlGqNmAql\nup24Bkm9Y1I9cDBSo8bAS5dJ1Xbu8aSMAZ9STvx2T1hDoVTH8XbtYCTVa9aswRtvvIE1a9Zg5syZ\n3PptrUErmyr7B9te+HNb6/rOv7OtGwUxaLH0EG6nfeEWUUx2m+SNoPSNjmC8WHuq5eOfeg7Z8BNT\ne0kx8BkKhFfZyspKtLa2CiuOHDkSv/vd75DJZFBWRs7Md8hj9+7deOWVV1BfXy8l1S6UahfEfFdj\no1V9EXFM5Um1pVK9t7nZqK6p/YOXwcN0RUXhdw/E4y3CrnvMeOPAxURF3jZZrvWdO3fihRdewKZN\nm5RtU/pkWnbv3r3keiGl2iSfdEgpFoyTINnVeU2tugmzarBpPmwRBBPPSPYP2fauAurjIbHMUcCS\nWs/zUFNTg4EDBwrr2K7caJp9xMX1PK5X6Lt27Ypsa218G017n+raoFpRUXEcWvbLcnTLVG3onVcM\n2F63HngLfq6F02a4H+rf1aRPqrdTDDiHXKZUt4c1vye7eAMqwvbtnBz/RQjh0R03bhxeeOEFZYC5\nc+di3LhxTjt1sML3ffz973/HnDlz8M9//lM6OWvZsmWRuibt2WLFDtPcnu1QkmqL2GnP64yjXTdI\nqjXq8dRm0+wfQjIf+E5cPceBMqyrFlCVatlk23vvvRcLFy7EvHnzIrGGDOE9Psj7ZFPWRPUje6pF\nCrKI1FLGsJFSzWx3rVQH+01aFRL6ZULHj3OcNCd381JgsvU8z8OXv/xlYQxbUq0zUTK4r0cPXtb6\naLmklGoVmvfNDX0WroHoR/7o+GTRfuSNot4cEhly2T3Yt+02qEh1Litfoju6QA2BMGv/JvpKtamS\nDNDS6JmOq7lz56oLFQGEV9lLL70UjzzyCGbNmiWs/PTTT+PRRx/FZZddFkvnDjY0Nzdj9+7dAIAt\nW7ZgC5PlIXQDt8i4wYtniptfesmuD4LtrpRq00XKyxwp1VYqt6BciKQq9lPAK79hwwZOSb0YPFIt\nU0FkD5HptMBvTOiHSVmTfS22Sq/NREUOQv3k3t8ZUurcUy0i1Ww/OCSU7ZsIGv13ocLmCUd1dTUO\nP/xwQZfs3hqakmoqioVUR2Fn/5DHU9S1+i4e0hXRsdDaJE816ef2y8NGzgtKHxVvpwhwMVGxBDGE\nvo3zzjsP8+fPx9VXX43HH38cZ555ZqeatGnTJsydOxcLFy7ERRddhHPPPTexDndnsISjsrIy9DnJ\niysVH3Y8BJhC6KnuOBY2PVy9ezeO6NPHqG4wFZ8OMc7ylGrH9g/lS3EHpJr3ula3HRWp1ulnkou/\n6NQL/t1qa/8gpNTzRW8+TJRqZqKi55hUe0Klmn31Luq74vfh2lfEiiNlDPFUatE4oZ7XFATbSKfT\nyGQyyvbZet0zpV4QHvdP4Thg2i/vMQmZphXt1b3o5OtwRLcTFXkqeyolX1E6uiJkGFmjFR51SbWe\nUk21I/m+j+XLlyOTyeDYY48liyL5ui7KFCukZuibb74ZRx11FO666y7MmzevaxU838egQYPw05/+\nFF/4whcS6ejBAHagsMqda2XNhXLzlcmT8f+ef964fpye6tc2b8agmhqjumlT8ufQ/iFUqgN/u1Cq\n4570KrJ/UOsD8Xg9Xds/9opf7LEB+H8L7R+0sNJ2RJ7q4HGN01MtU9uFhF8R3/fDVXkPBQ7sH+z+\nrub0jtfnP/95PPjgg9x9LpRqWRrMOOwfuqivr0fv3r0lJURKtc/8z27vqBEgsRU1JyDbulVUlDPm\nLK8vvHPHi9Kn8PGVjx8PLBGlEObgtcXsO7lQqleuXIlXX30VQPu4lCW1MG2ju0I5w/DLX/4yvvSl\nL2HFihXYvHkzgHb/46RJk5w+yR8KYAdTz549pfup+0SExMXgHW2oBOchXKa8438Xp1d1eTkOdCg/\nVJgq1VxS7XiZ8mC5uOwfuvVsPdUZxe9D7aOpUl1RURGaeC2L0yyY/NqcSsMbNBz+Zj3rTCcEJM3z\nAistivplolTHbf8QkWpeP7jblKxaq/+mb/NcKdWyVHysUk1pn623f7/CTsCpo7PPpiwA7Nu3T06q\nRRNbu1pUfO66z3kRwiqva5WnWrQagehhUdgnJmpE6fY5f4XRVP8cqvt+Bl6qUlAi0kpki+xhkeqp\nrq/v8os/88wzJVIdAOkq63kejjrqKMyYMQMzZszAUUcdVSLUBmDJL3uRNB1scZJq2whZQd9yHEJm\nCpPJiqaeavb7aCnVzGdRuypSDWiq6woVeNiwYcoYtp7qN998Uxo/bvtHkMioFMj58+dzY3ieh9SJ\n7KLx3IYDfwdT2lGyf/C/H3drsZLqiFLNqUvk1Mo83zEq1br3OKoCaKpUv/LKK8JyDQ0NnUSne3iq\nQy0J2pO88fBS0gc5P8fOSbJ9E0Z5CGC2KY8f5Y1OGNnMVjQ3vNRRmzDeedsc2D9s8Mgjj+COO+6w\nygJVzIhpia0SeGAH67PPPivcz3qUTC6ULk4OlvhVaHinACAjIEu7mprwj+XLscMyZR9gRqrTDicq\nul78RTVRkRdLhEwmg0bFMe7Xr59RG7z9IqVa1Ye4lerg+aRSY4KrT0bK6Y61YHVS9g+HSjW73bUQ\nIlAeI8dMNFFR11OteCigLnUfbiKaUo/3ty2CD42mSrUK9957r1Y/VCj8RMUwshlRzuto3WBO6/bd\nMSjV1pJTuE9trcH1PsSxWxuXarSvp1QnoSJv2LAB27Ztw/333x97W4VAiVQ7QCaTwaZNm7RJiCwP\neISAGdg/nOQ11egHD22CPrRms/j8o4/i9Q5LkQ2SVKrZslkNpdqV/UNWl4VM3epsg+CDNlGqg9tV\nuezj9lSzNxKT9rzIcsWkTnT9zb2ZMfGEP6vqVbOg7YSUak+qVAv6rhzChP4H2l2xYoUqICmlXh4q\nyxIvtgjr13eRPB2lWgf5/OvFq1QLWyJtD5Lqtpb1CD3IMTXLK48Ifc5l5bnppfDAPe+jkyHZnmgq\n1dowI9UtLS3iiAko1XnI+E93RmnVFkv4vo8bb7wRQPvF8rrrrpOWVcXKQ+emH4f941/vvotXN27E\n0cwiCLpLemckk2tcwUipduSp1qmveLmpFY/621JS51EUORNPdRCq2eFx2z88z0MqlepsRzbpS9oe\nMae030loFUpxhKiLFGd+O9y/Q2UIy6SHOyTuQ6SoxURFklLN1FWQ6qOPPhqrVq2Sx4x0I9yH4Pg1\nWSmYtyKj7/shIhNc0tulUk2pU1g/q+rcodsh2lpWo7zqSHFdpq1sZivMIfJU25Fq35ddgwi/E+W3\n5HRblvnpYPc7J4ESqbbExo0bO/9WEQMqqZYRGB5ck+oX1qzBZx9+mB9TM5ZIqXYJk6XKQ9k/NOqx\nKfUA+neMkGqRbSfwt61S/eGHHyrLJKFU1yiytMRt//A8L3SexKpUtzSj7c7fAI0H1Nk3WBVM+P0M\n7B9+jiGlhL6nPCBnSaqphEAp5DFKNffYe9ixYwceffRRbN2qJk46SrUrqEhusZJq18fF94MTgNV2\nCpvFX6wWjuGAf+aoriF6SnUqrZsUwOw7yq591ImKcaMY+mCKkv3DEuwKQibkl62rS6pde6rPknid\ndGOKPNUusd3AS+lSqeYRbUpdilLtYqIiD0HyS0kdZqtUV1XJ88omoVSbIBKDkJYuO28WsHUzsC+8\noho3T7THqGAanFpNqpntlJR6OscpRKoF/RL0zaco1exsRs7x8zzg4YcfJhFqbgsSpdoEvPpsG8FF\nZeIg1TIU0lPtZ/nzKrraob7LQ0eeatmDnMu+85VqrtIcOmaqNzHh38JLVdDrkstE+63Kd27zuw8e\nPNi4LtuP7ooSqbYEq8DZJOiXkWoZRG1SlgzVhU7Pcr6vbRfRQc/ycuO6rjzVQNTiQn3ISSL7x5Qp\nU/htBMZMEkq1yaRHKtra2jB//nzMnTtXmDbPBanuCKSutJe/YJLfwlsllWj/UCjVwnceKvtEpDsa\nt4Sgoh2sR7F/UMA+FHDtK+1KNRWFUKpzuRyGDh3a+Tk4v+BQUqqBrvsR93yMNCch1ekayO0kbF29\nCfZR8M4LuYVMec1jlO5Q2j/SoTf7feJ8iKuoqFAXIqBEqg9hsIQ2mL+RRdL2j8WLF0vbixtxWz/+\nYLGSp2n2D16KwE2BbBGAWLkuxETFHj3kq3oB8XmqdUi1jVL96quvYsGCBXjppZfw4osvcsu6yOTg\neR7NQiEC7zt6nlzl7dzO2xZUqnkZNpgylGOgYaXy163mx2a/pzD7h6oB1r5if7tSEeq4lGrZg+eh\nQ6qFLTH/q+GlmDdfir6mywdK96sb5D0E8Eg1/Tu0NX8k2RufUm1jR1L2yNGYKZHqQxgsGWCXHg/C\nxjdqQqq3b99Oak8X1O8RN6k+zHA1RcCt/WM/M4tZlJub+oIyRAYJZWSgkARTpZoHkZXElVLNK/d8\nYMXPl156iVs2TqU6ddpZwGHqXN9cr3LE/mGmVAsSWXNIteI4mJLKUK5tllRzylOvDcHfkDu29G++\nMmIdx/oLSZJqVw+v8YOQok7yXapqThHEENW1IWka9g+t7B/sm+Q4Hnj07B+246NEqkuk2ho6Ccyp\nxII3sE1I9aBBg8h90wGVhD5ESHFlA5OsH3m4ylMNRG0oonjsb5iEUk2BS/uHSKlWXayL1VMdBN9T\n7SF91nnwetepKgM5zk2YOvlRqVQLSDdLqlVtmarBuvYPklLN9J/TN93TgEeo4z6X2MlfcaXUo8Tr\nXkq1j2xmF3IdXuxUWVc+fS/Vg7k4ykm03YqKIthOVJSVj+/YyzIxFbNSrcogVSwokWpLsBOwbJ4C\nTT3VovJ9LJcYF7ZHLPfVxx+Ppf08bIhSWkD+VOAR5t1NYa8s2f6h0QYLlzc8lxMVTZXquPNUu5uo\nyMTp/KyK74nVWYr9Q6VUc/cjrBqzVhNuXwzPqZD9IzlSrc2qIR8L3V2pVmVviJNU65Xn5X1mkcX+\nnfeiYfufkMs2MPtUb13iV6p5tqbWpneR61zNMT5i7Pu8+Rk8RPstSydqS6pdXcd5faDcp4oB3aOX\nRYykJiqaKNWxkeoieTVjo1SbTlRs4kz+XMDks6XaP4SKduDvg0WpjtP+QSnreR769+9PritsT0Sq\nCZxa6Kmm2D9UxJRbzweC45Vk/zC8JQS95hH7B6/v+vYPPqnWu4lTsnPYQFepdkmCgXbCJHuYLB5S\nHarJ/B9Fw/a/QH5ldEmieeA9BETHXqbpXTTuedKsDzriTmanupAAKlJtCt/3sWXLFnVBYiwW1LUF\nCo0SqbYES2htBqwpqRYteKBaxc4UxUGp1TxGBlP7x59ff11ZRqRUF8L+QXm6T2LxlzgnKlLKep6H\nYcMIvmcJuEo1deKi54UJbnC76cNhiFQr9ufLqJoynYgpzbXN6RxltcKIfcWNUh2uHq7f3ZVqdmEP\n9vvE6ak2V6rVpBqR+QFsDE75EMy/d3vGGN7Y49/rs60dC25pj026/SPTTFzkSHM42yjVugsvycAb\np8UzH0CO0uIvlmAHoAtSrTt45s2bZ9SeKQ5lpZrN9MGDSKlW2T9W796N2atXhyZ4FvNERZX9Iyml\numfPnmhsjObAZUm1yetDtVKdj0mQqrMEUq2jVAdHEEex9XcyE5VTKTWBN7Z/BI5tJPsHp++Ua1zE\n/sF7Ba93LYo7pZ5u9o+XX34ZtbW1wni6lsB//etf0rRmcSrV1qRHqzm+Up3L7kc2swW+bz4JkA7z\nt9K2yEgzhwQRHY+ye4LNb7gi5jlUQPtxjePB1yVKpNoS7MmTkSgwNsTB5CSN68SmktCJAwbgXY0c\nsrpw5am2najIoqG1FQOqqyPbI/pdIFY2l8PZf/sb1uzdGypjS6qDF0kR+XSpVJuSapuLOVUdp44X\nkU2EO1FRw/7hi0h1EDrnrKJs9oE7w02l04jP/hHDRMVInm3ORCUDUt3c3LWyHyuCBMfI4MGDjReV\nCUJGqgFg9uzZwrq7du3Cz3/+c3Jbe/bswcCBXenjitf+EXyQjPwhaoGpz363LBq2/1nUOY2+sRB5\nqmV2hBx0iXwuu4dOGn3Cmx4D2CjVsnTCJv3gIZfLFf2ExZL9wxIsGTggWd0vrhUVVfFcgxq1lyS9\noAu4yv6hc5ROCiziIMLrmzdzt0fsH4G/19fXRwg14JZU8wg1ILeIUMakC/sHFTrnhqlSHVT6yJ5q\nCllt492Eqdk/FMRUdXzLO75TbEp1DJ5qn6nLzRWsT6qD58FDDz0kHL+XXHKJVmy2flcX5aRahmXL\nlmn3QdafOFdU1CovzdwhiK/wVMstEbbXH5qnumtn1qjNtpa1ndFl8Imk2uP0+xOf+IQkrjmpdsk3\nZKS62FEi1ZZgf/yWlhZyWd39uii0/eOc0aNjaT8PK0+1oVI9aaB6EYG/Ll3K3S5b/CWtaU1QXVy2\nbduGpqYm7Nu3TxkrCaU6zlnhFPBe++u2Ic/+QYCN/YMHHVKd/11iS6kn+Q7O7B/2nmp2DOzatUv4\ne1MWTqJANlExDrjyaMdr/+CNQ3F76Yqhof0eT6nOhdcLCEcWxy6rHCnc19UgLftHF3LSNoW12qhv\ndqmT9qL9Hj9+vLC07URFVxCNpe4wWbFk/7AEO5BWr16No446ilRWtL/YlWoqCR1ssTgLBYXwVIv8\n0kGwi8HkwbZCmZBoolTffffd2Lhxo7iDbBuS45h/HUm9UZum1KOCF4eijuso1SLbipRUK+0foomK\nkcZFnZJvo5JqFVws/uIqpR5hmfXc3KcwAT2wEuWRfTyoHqyC+03Ir2ul2gSyN0dxen3NY/vM/zx4\nzP7o90qlJfcbCQGurDkVqXRvtDaK3gqIsubIPNU54hhn6kHMAVxB5akuZqW6WOZzyVBSqi3B/sjD\nhw8nlxXtL3ZSTY2qQ1ZNYOWpNiTVi9avV5YpIxJLSquibyhThXQINWCvVO/Zs6dzm6mnmopHHnkE\nf//730MKvCh20Du7Z88e8ngJHltnExU94kRFHXVLi1R3+BBbxW/S2su5UKpdTVRk6gr83hejCb2J\n2R10Uuq5mhDVXUl1Yp7qrgjy8qGxEP1ucvuHeHyky/pCTYV440ammhaLoqo3hotFqe4O5FmEEqm2\nhM4rr6Q91XH5j1Qk9JkPPsD18+ZhE8F6YINCKNW/X7JEWebLxx7L3S6zf4j6YEKqdaFSqoP/8/bt\nDXjBgwQ7WGepwBJjgg8//BBPPPGEstz8+fM7/z5w4ICRUh0EV6lu3N+xkxCYp1SznmrRUDRWeztw\nQJ21pr07Sa2o6Cj7RwdGRJZ85kNHqdYh1ap5CUmSahmKxlMdrmlQJ+qpLquQCVqS8eGlFOPe43qT\npWn6DD3VgQAWdS1aLXJPdXcg2yX7hyUi6qMDP1ucr8rjjruhvh7/8eCDsbTLwkZHChJyGaluy+VQ\n/r//CwB4+vOfJ8WuEMxOZlsJfhbltnZJqocNG8ZVsWU3+ebmZixZsgTbt2+P7OONA96cgoaGBidZ\nFIJYvXq1ssxmZsKoiadaqVR37ZAHbWkGeOOCuvgLDyGl2tFDlpMVFSkTFYn2j+BZIiE+w5DF24SI\n3FYcKtUHk/0jcU+1pD0PKUTtH+EYqXQvcXO+7A1Nit8fpgfRmOLvm2lZJ7ejJAZ9pTr4u19++eWY\nM2cOaVGXEqluR0mptgT7IxdiRUXT9kwhI6Ez33knljZ5sFGqg3Vlx+mHc+Z0/k19WBAdH5dKtcmE\njd69e/Pb8Dwcd9xxABDJcbt48WK8+OKLeO+99yL1eMdtxIgRkf1r1qzR7qsN2riKMJ3MyEiWZ0OI\neL+Z59EyISg91cQ+lItzGAMwt3/IUurxOsf6rnlg7R+Svh0NYjaEmJTqfNmmpujy0d2VVNu0q1WP\nMng9Hqlmo5g+WHodpF28n/ew6UssHn6uEYVSm0PQvEWyv+HgwYNRSczi5ZKjlEj1IQwdUq3K43gw\nkOonBKsqffP44533I3/D+MsFF2jXpSrVz3z4oXZs4fLj7FgJfG7VJMkmSrXo4uh5Hs455xxccMEF\n+NrXvhbKA7pw4UJhvPz3GTx4cOc2HmFoICyY4xKilb1slWqu/aNzJ71/TKdo9g/ODj8TmBBLPdcV\nN0hTH7FoeXre5/ZtFPsHM9lLolRTM9fGtUy5bMGVQmb/cJVSL51Od/6jlFcdU76jWuGpVijVpm9r\nPM9DW34VRFHTPE91VmxvLGOylegjcOwrbFaC5Z/Pn/zkJ9tjp9P42Mc+1rk96YmKJVJdQgTsRUp2\n0XrjjTeksWSk2gSFmKgoSqNXU1EB//rrUeVw6fQ8Mf7K5MnGdQE5qV7LyR2tgihDiEy/e+aDD7h1\nXNo/RDd+z/NQWVmJKVOmYODAgdrkU0QY8tttlwfXhejYFNT+IYVkkl/nds62bVsUBXhNKS75Sdk/\nqOM3SBAVZLSccAx0lOoyxbWqZ8+enX9feumlwnLF5Kk2tX8cffTR+OEPf4hvfOMbwvLh8071++pO\nVGQfsHh1zS1Q2YwslZ0o+4cYvp/Vs3Kx9XNdk6yrak9DedWRxrF4mDp1Kr7yla/gO9/5TmhFT3Z8\n6Dxku5z31R3yUYtQItWW0FGqTzzxRK1Y1H29enV5yUaOHEmqYwMZCR1VV8fdniexNpYNEdIGMamk\nely/ftqxTewfJwuIp0tSLVOqTaAi1fk+Jk0ieK/gdSAl5UKl2oKMkqpyxlRVII+y6lwfNKT9f9Vq\nZHHYP0w91b5Ptn8AwJXYrwypUqpZ+8dXv/pVHC94yzZ27FhcccUVuPLKK0O2J178YlGqbTzVlZWV\npEnN7R8U1yfN3OyexwoC7pTqdqgmuuqe37SJszzksg3wc11j2fMq0LOP7G2swrrC2+p5GDFiBHr3\n7h15y8SOH9v8/iZ1RNfgklJ9CECHVKuW1zS1f5SXd+VorQnkhi7ERMX+AfUmiHwKO/eU2owUUkn1\neMGS1TJQ7R/BT6I0fPlejhgxAqMDbwFcK9WyzyLkv0+wL8Ex7vrNi6ofebzwwgvccvEq1YbI5WgE\ng7e5V2/5/gC8uj7tf6gInZPsH65S6jGZCBR972OoVAdTL7I4/PDDcf755wtjDR8+HEOHDpWOraee\neip0jnRHUq2fdlPnnPeZ/znwKkL2kGg2Dl/qcbaHrlLdZrT4CwA07n1ar23Pbtlu9u2iKTl2qVSX\n7B+HMHRINZUI2aQyCr6y1InTlsvh6VWr8OHu3cqyMhIq2heHUm1zggV7ocr+oQtRJo+I/SNQTmQZ\nyfczlUqFCKvJREWRUm17k2e9l+z2pC+EIpIUy4qKtqjfA1r2D4Xaq1QGO37jlEqpTir7B9X+EShn\nSvgD0LF/2MbKY+vWraGsON0lpV4Q+e9KVqo5VgwvFVyhUtf+4TP72aw5QGvjckl9G+if962Nb8PU\nU51K99Eq70lnFKj7HfxN2fFRbPaP7kCqSyn1LKHjqY4rT7VIBdEZgDctWoTr5s1Dper1MOSXChGh\nTBEuykkilP1DUs6EVJPtH4G/VSn1fN/nWit0EJdSLSLV+T7G7Y8TjfNTTjkFr7zySudnN0q1gBDZ\njGtKVdt7SdfTmaIcnfB5hx/R9UHX/kHK/uEzPMr+2uGSVJuS4+6oVFMQWjSJGbCeV4XqvpeIWgr9\nJ4GL+tgAACAASURBVOlRMCJz3vjIyiYbWoKfp1qMbOtGoOcxZm1FlGeCUm1xfZDZP9j9Itgo3DyU\nPNWHMHSUapW6aEqqg4tv8JRCCq6bNw8A0EJQQG2UahP/83ljx3K32/AMqv3DpA2T7B8q8p7L5Uik\nWvabiyZexW3/KNQFsqqqqvPv008/nVwvUaUagHThlK4dnE2BbapjnC+remjW+H7pi/4Pvx6BVPsb\n1qgb8Bl10gEZLYRSzSJOUl1ZWRmr/YOuVAf+9ipRO+ibSJcPCux3rFSjnbibIlUms/npT1QEQPKK\nC3qjV1yxcI2yuiRzD3WMf/DBB6GFv6go2T9KiMCl/UNGqvfu3YvFixeHCLSqP4XwVItsDHkynTa4\noQysrtbuhwpkUm3QxoHWVvx/Tz+NKx5/HHsCk+bYSMF2VfYPqlIt66/I0+9yoiJPqU7aU83bbjrh\nJkIsXE9UjDYu2M7bFhgDqmOcHy8tYv8wAC3i6vUJTOKV+sI5pHrVu8r4PhsrAduEzrnAWxCJgjhJ\n9YABA4rDUx2qm+Kor6GalM5EOTUTo6LmBHUcAWQLtXgAcrkDBlFNr3ue9GO0dHyeaup1c+bMmUZt\nH4wTFUv2D0uwP77saU2Vr1dGqufOnQugfbnnq666SjjQg6/4C7FMuUqpLje4obQIFvNwpVR/ZPCE\nLcN/L1jQmXe6pqICvz/3XADRYxMi1Qr7ByBXFFTb2fqy7a5T6hXK/mFKqkOvsSP2jziU6mBMjVEd\nEgYV9fL7d+/U6IsGguc1xVNNge87J9WqMaBKoxfE+vXrjfoQJ6lWkQ7TPNWUcyccO9gP6ve1VKot\npsFX9ToD+3fcI9jrIdu6WbBPjGxGv46offluMamm/G4q+0ecOBg91SWl2hLsj7xy5Uph2ffff18r\nFg/btm2TXhiDpDo2pVqyT+WpLid4tln8Q3OVxrlf+pKyDHuxeUegOpkcweBCLn9YsqQrFnNsguq0\nSqlm03q5JNWmN3mV/SMpT7UIuqSAVy+IROYDCH8+hf1DNfGPOrHVRZ5qSvYPCnw/HKvIPNWmiJtU\nu1Kqg7Cyf3BJIe9BUpdUh/ebZtsAgHRZX+n+8qox2jHbJysaQHsI2o1Zlf0jznOiO5NnEUqk2hI6\nP35w5TmbmMGBmMmEl+c19VTrIGlPtQii71dBIO5sFpLfBCa0BfHGZldqg8L+IfgugwcOxPTp03HM\nMccYpLUKQ3QzN1WqefaOYkipJ9pO/V7ZbFbc99ZWTg3A6sZGUap531Hwup2LHJFUmxI+mS/c+Pdn\nlWq719xAcUyUTnKiYp8+fYT7dOLol1eRam4ExT6xUm1KqGmLqnhSNZhbI1WrLsRtycS/7ZZUJ0lo\nRatMd2eyXSLVltD5kesEC6OwsVQx165d2/k3azehWARsISPVIsU1T2LXGKxQeNlRR3G3y75ddSB3\nt6w/eYi+07YDJl46Ptg2gkRadNzGjhmDj3/84xHFIE77hy6KMftHNpsNvRnSUVza2tpw++23o5Uh\n0J7nAX0FE5qsDqHMjyyBDqmOW6kOpuJjM3tYcOowqXajVF944YXWcWyQpP3j3A7rWR629g/ZORSK\nHewHt05wzBP6EinIMXtonDvVfT+LytrTUNXrLFJ5P9eiLhRAqkwvLZ4cqnHvIV1xuHl0RUq9OB9E\nH374Ye72HTv4K1yWSPUhAHYQTpgwgVyWBXXAzJ8/v/NvVqlOxP5hoFSbTFDMY0xf/qu5vYF8xB8f\nORIA0KOsDCcMGaLMh83ud6mgi2CS/UN0QXvqqadw//33Y+fOsEe2EJ7qQmf/4MW/4YYbQhPJdG8O\nu3btwuzZs6Nqd1kZ0Jt3w7RRqgN/i34+7u8aeAhXXVt2bCP2xVSpjsv+EWzDjae6kHmi832IC6zS\nWFtbi1NPPTW0XydWHrpvyXwtpZqijvL2Ry0gVJRVHo6qmpOQSvMXK2Ob8Ty5SMMi16aYu+AQfq4R\nPes+icqaj6Gqdpp2fdM0vC7Q2NgY2cZmSStk/0xQItWWYH9k2aqJNtk/ghg3blzn3yypLrhSrbB/\nmEC02uAnx3T53P7+6U/j5k98Ai9/7WvoUV6uJPFsf942nMmvQpCs8+wf+d+IctyCv202m8WaNWvw\n0EMPhconaf8oluwf7Hk1fvz4SBkTIvPmm29yY3jDzFUhLkJkUV+p9jcRJsw1E5dul6nB1TVAeftD\nuzdkeHif1P5h+lDF2j/ckOpCWkDibp/nqXYhtNh4qrkTCHWPgR9VUJnGoXXuaMHTfqDzc1GyqNUe\n53OqbICgfA6pdC2qak9BumKYfmsKpTppvMPMoZJOHC9ClEi1JXRS6qkGBJVUDxvWdeKwq+Ql8VQn\ni6ryVJuAVZFfuuIKZK67LrRtSG0tfnjqqZjc4VvfK1l6mNefpVu2GPdPhiC55x2bprY2LFi7Fs2C\nDCeq48a+JktyoiKvTRfZP1gfqC54D7amZIav1jkgCcGqgvaYjgi35RbOJbeVOvVMRWckYyFdhrIr\nvo3UGZ9E+jPMZODg93eW/YOp62iiosk4mD59unXbNu1TwfPEmt4T7DzVwTGgVqrVhJinfCdJ+Ar4\nINbxf2XNVEEJu7kGSQhxOti/f3+hu2CFUko9S+iQaldKdTCOTGWkniANLXp+MRtPtQlY1fljw4cL\nStLB9uZrxx1nHZOHtOL3mHbPPXhDQuiD/bSdqJi0/cNUqbYlHbzzzAWplsGDmhakv/xNZO+/g1NZ\nz1/aVbajMOX8zbfRo4e8nOwBy/PgDR6K9OCh8nquJir6ubBCWUClul+/fpFtn/70p43aT9JTzX7f\nxFLqhTiw3FPtm5Jqj91feEJoD/Gx8jwBXQsdX/2xLRoflLcTcWDAgLAiP2jQIGzb1m5fKwbSr0JJ\nqbaEy2XKqQgOrKD/aMiQIUak+saFC43bZyGyMdh4luM4kViST8kYYgKVUi0j1IDY/iGCC/sHFSr7\nh+/7WLx4MZ544gmtuLt37zbqTx6sJQowI1NHHHFE6HNXfc4xJsROjeKvDGqb/cOnWDv6ddyoVK+x\nZd9Dui9Iqh166B3bPwCz8c47d0aNGhXZdvbZZyvbTtr+YapE6k5U1Mn+oX0EfJ7ybe6p1oPndkyr\n2hIeHfVRMxlbxaZU9+wZ9rkXW/9UKJFqS7A/Ms94n4crpTo0IYSjTIj2iXDTSy+RyuVhk1LPBHGc\nRmx/RL5tW1DmoMmge9xkY0x0wbX10YlI9bZt2zBr1iytWC5UvE2bNlnHAKKr0yUCg+wfHmMB4yL/\n8K06vqbnacj+4UqpDnuqvQIq1bw6vG2nnHKKdfs8VVwHcZJqanm1/YO9Miruecp4vvk4IyBdQUuH\na4+c5BFENP7tHtKKTakOjqNhw4aVSPWhBvZH3rhxY+hzNptFU8dS1a481aL9NhdQHciiChcxceQ5\ndQUKqZY9PFBh+3sE68dl/2DHLBUq+0eLpq0IcHMBb2qKKrcmZGrx4sWRGLEgZP/QUKo7kDrpdHUb\n+d9I8R08mZItq5uSfAdHpFqlsm8n3M5MSTXvYY9KtHXa/+lPf4qPf/zjWn2bPHly598qT7Xp21Lt\nlHraeapVY4TXb1vJggoPZQYTAE3QboVhjlfHR98XXU/tvruKVCcN2UNhoRYS00HRker6+nr84Ac/\nwNSpU3H66afjlltuiaRYKSbIfuSWlhbccMMNuPnmmzF79uxYPNWyAbh8+fJYjp2JUp23f3xjyhTt\n9i4aPx51VVUAgK8GbiA2iKTUi4lU7wsQS5N4Sdg/WOh4qmU3cBPEdSEv5omKxnV1XklTb0ayvsiu\nJVL7hyPCozhOy6BOe2Y6vkwItCiObMKwLHuUCEOGDOn8W7XgUUNDAzmuzUTFcF2VUk0Jrl5Z02ZF\nxWJBS8Mi+D67wFT79/Vz7tZMCEUvMtLKXnO7W0q9opuo+POf/xw7duzAAw88gN27d+MHP/gB6urq\ncOWVVxa6a1zIfuRgPulXX30VRwkWMaHECuJAYEES1UV00aJFzmaui9oEgKdXrcLdS5eikeNnBbpI\n62cnTcKdTKoyFWorK/HK176GlzdswGcmTtTvMAdJKdVBJGH/SHqiouwCaAITolJVVYVmRbaXuCcq\n2sFQqc5vo/Qxv6Ki6hjIfr994oWb2GPr+37XNtND6PskMqUDl/YPk7Eua9/0dTv7Now9J1esWNH5\n+b333iPHdeWplr79aK9IGMMF9lQniNbGt5gt+eNnJ6qIIHqbWgz2j6TevrtE0SnVCxYswOWXX44j\njzwSJ598Ms4//3y8+uqrhe6WELIfme03u0KbKJZq4Mydy0+hxbtgB4m9K0RWBszlcP4//oHH3nsP\ns1ev5tbJK9Um3uq2XA7j+/fHFccdh14U/ygB7HHiTaQUWVl0MKi6uvNvkwuCS6VaVJ9Ny6gD2QXQ\nBMVGfLlKNW9cWCnVoQZFPeFs0iHVNPuH3ffgq9W5j97nFCaAIVt+i/zBiTIK4rZ/2LSf375dM2c+\nq+Sx58OGDRs0e9kVi+2bDHr2D12xIGBL4NIWtS+7+6Lj3pmWr8gMAF5K/1pe7Ep1iVRboq6uDk88\n8QSampqwbds2LFy4EJMmTSp0t4TQ+ZGpA1YVM+hVVSnVcYAl1aLVAIPIK9UmpLpeoUKagO1HOee1\nqwulWpX9Q4VgL13YP3gLoxzHpBPUUapZD14hlGrKeWVKprjKXs61pYrQL97Pmt+mQ6pVbdn8fsHj\nG5ysuHWzeczgDba6Rl6UmB0hzomKNu3nty9btsy4b7z7wYwZMzo/BxeCMWnDLPsHL2Copro8eG8s\ngm94FNVt0NFeTf8vw0v3irEheftllaJUsoGJ4mV9UF41AUAKVbW0N9QqpTpplEi1Y1x//fVYsmQJ\npkyZgmnTpqF///74zne+U+huCaHzZOdqmXIRXCiFFLC9pPTaRqk+0nI2PA9VZWHnE0+VFqUH1IFs\nRUUKXCvVPM8mq1Sb2j9SqVRBlOo4SXV9fX0oBgCkTjurc1vqZP1lgTmd6/pb6JO2VKrzfmjVIbBZ\nClwwWdE7QpBKUAU/F/5uPauBtNixGKdSnQSpNo0rU6o9z0Pv3r07P48ePZoc1yb7Ry67L7Cd94ZW\n07rBTanH1Cder8t7mFkI0+UD0LP3uUZ1bdClzNPcuj37nIdeg7+NypoTaPEFSnUxkupiUNJVKDpS\nvX79ekycOBEPPPAA7rzzTmzatAm//OUvC90tIXgkRkRsVJMGqfYPUVsmSqGJxYFVXCkKrI1SXVkW\nj/X/vwNecx6BdqFU7wykWLS1f1CgItW8i5KNulwMnmoqqTYB10s7bATSn/kSUp/4D6Q+fk6+oFH8\n9rqBvzXcH1qkuq19roPyOMRg//D6DTSL5yP83bwUyr71I3gj+MSQenaJjsFZZ53F3S6qI4pz+eWX\nS+OolOqTTjpJWF/VN975b5r9w2aiYtPeZ7rabNulqqmcZJjL1gc+dXyfyHGk9Zeq4HJREJ6p7232\nPPWk3a6yctJaaE91aaKiBdavX48bb7wRL7zwAgZ3LDddWVmJK664AldddRX69+9f4B5GISLVvIFI\nzcRhSqoB/RMgY0Cq2TZJpNpCqTapc/H48Xgs8Or+7COOwHMffSSMy1WqHTwVNwWWHzeyfzhUqlOp\nFFauXKnVpqotVtlwoVRPnjwZb73FTtYR94Fyvpj2rS3w+wXrpyaxWWhsvrcxq+74T2dcJWT/CPbJ\n+EbIqI8e4PXph9RJpyG7Ljp3w1apPvXUU4X1dDzVI0eONGrfxYMf737gglRT7B9ab23b9gTakc81\n6qgR+DvaB9qqjEDPuvORSvdUlgvCC5vwtOoCgJfqicrqqWhumK9dlwRLnlns9g/RvmJFUSnV77zz\nDmprazsJNQAcddRRyGaz2LzZwpcXI2RK9eGHHx7a7kqpHjduHHe7CXEwIY5/XbpUO4aNUm2C4w87\nLPT5xEDaKbZPAJ/wulCqxwWsK0nYP2Sg1tdph7V/uFCqTdunxNZFMKuItL4qdJlEOQqRUUEZmVKt\nM7KU9g+LMRb87UNLVhueR2xWCJ6XNlicENKU1CbpqdZNq6d6fW/6+txu8Rc5spmulWRbGl5B+NeT\na31+rj0toBd5GCW0L1rqmwy939xL9UDtwG8gVW5hYVSqznb3KRd5zE1RVxedfMmOu9WB5Ae8NQiK\nDUVFqgcOHIh9+/aFZj/nD+iwYckkX9cF70KSH5hsCj0qqVahb9++wjrapNrghvdXRkWkkM88OUyK\nVLPgHZeg35l3HGTH5vCAT1GG4CTOYrB/nHCC2mdn6ql2pVTrxKDeBEz7Vl5Of40qbX9sdIJo187A\n33Fl/+hsK077h8AbbkyqISDV4uIqFLOnOr+9TNPupmP/MFX69Ccq0pGuOAzwu+6NXqoctQO+hoqe\nbtYkCMIzItU2SnUanqefezyPiuopsSvGwfi7d++ObA+m8HUNlX2W/e4LFiyIrS+uUFSkevLkyTjy\nyCPxox/9CO+99x7eeustXHfddbjwwgtDRLKYUAhPtYhI8C7YPXr0kMZyYXGI2/5hArZH5RwFNahU\n846D7Hvx4vGwes8etHb87sWQ/YMy+9+U1LryVOu0/+6775LKmd7wqwMpEeX9kvc5Pf0cYl1BPy09\n1amzzuO0xStoY/8Ieqr9wJ+u7B/yvlEef1yRahurhopU9yY+sOchUho7J9Ym6Kn2fR8PPfSQsmx5\njwmdf5dVHI7WA11vP/1cE1JldaEyfBRCqdZE/mHE0B6WSskz3rhAcDJ2EPnxs379+tja5o1HGalu\nDMxRKlYUFakuKyvDnXfeid69e+Pyyy/Ht7/9bUydOhX/8z//U+iuCSEbFOxFKQ5SrVIKVa9LTDNc\n7G9txQ0vvog/vvZa7Cn1XKCC80pVpVRLSbXGK9q8XaYY7B+UV8umSrWr7B86MR577DGt2LogK9Wq\n0B0rgvLrEuwfFkq1N2Y8Uqee0fFBWtTS/hGoG0yp59z+wccgqOesmJJqdo0BVQzRw6tosnAw5qhR\no7T6prJ/JOWp9n0f8+bNw8qVK7FsRdfx8sqjb2k8Lyj2eGg58Bonoru3dF3tJq1Ut5c3X+0x/vul\naixfddVVsbWtS6qnTXOQbSlmFNVERQAYNGgQbr311kJ3gwyZ/SMyoc/RMuXi5WCjg7BXL3leTVOl\n+saFC/GLRYvI5VVKdW1FBRoUi+PogG2FR4JVSrXs2FCVagBYuH49vnnCCUVh/6AoyTb2jySVaupk\nRkA8eZhSL9g3MSxsFSFSrT9JWTWuyr7w9WBj8qA2KfWE9g/Dt2EsqVZgA2gPjCbjYMeOHZE4Mnzv\ne9/Dr371K277Knieh/79+2Pnzp2kvqnsH0l5qnO5HBYuXBgtn+IkGAjFE/VJ9ZDE9okyVvQpTy6w\nPLju2OlUqHOG9zab85EIUQKI/HcdPHgwrrjiCmzfvh1PPfWU07YppProo4/G8uXLAajfvBcDikqp\n7o6Q3dB0STUVTu0fhipSkFD/bN48ZXmZUj20thZLvv71yHYbfPGYYzr//szEidwVE5NSqhesXauM\nJ4Lr7B8ulWogqowlqVQ//vjj2rF1EXy7ZDVRkdw23U6Gxv2iKub9SFn8fgL7h3n2D+YGm39gE3Sx\nJcbFX6qYNw2qh8eePfkZJvKEWbSP97cKIs80T6m2SdeqV15VOvAgkGvhlmg58KayzUDroJwIJv7m\nbOtG7TqBFpn/TeuL4ef2G8ZuR3B8iN7MDR8+HMcff7xVOzxQPNW8POw7duwgZ1NLGiVSbYlC2D9k\nSnWz5uqDLjJc2Hiqv3D00Vj7/e9jvON0iSPq6jDrC1/A/55xBm4/7zx8csyYzn2TBgxo75NKqXbg\nqQaAwTXtvrhDwf6RtKeaClNfr7vZ8DZKNb/v/vsrkJ0/W6oEpy+4VNwWty82i7/EnP1DgRoSqTIb\nW0ceeaSTOPlz8HOf+5y0bzrnUVz2D14bsu+9detW7nbfj9Zpa1nX+XfLgcXcehUqTzXJNsXW0Veq\ns5ng9zKzf+SMiW/8FC04PlQiwsUXX+y0bd543LKlKzMM+4bR930899xz+OMf/4i77767KFPslUi1\nJWRPWknYP4LwPA8bN9Kfqnfs2IE3NV6hC/tDKCNSqstSKZRJbiDTRoww7tc5Y8bgp9OmYWB1NSYM\nGIC/fupT+OrkyXi044Zmo1TL+sxiTMckW5MHGJcrKvKU6qlTp2r3KdhWobN/6MbWBX2FMTP7hzfh\naDWplgyb3II5cuKpu3BSMeWp9hn1MU/4BeGqiMyKdx0+44wzpHVMHhZ5GavyY2j8+PH49re/zd2n\n255Iic5kMpH9cU5UDGeOkMfJte2IbItCNXb1Jyqm0rYT/zSvIR0HQr0Ajqh6/J5q1UTXIHTTParQ\n2toaERtfeumlzr9XrlwZeWh85ZVXALST702bNjntjwuUSLUl4iDVOm2ypIZVVERoa2vDvffei+cJ\n1g0WtcwkHJuUejLP8NEDB+L+iy7S7p8IXz3uOPz1wgs7lz0PKdWc7yD1VGtcXM7tUMlNnqp1L6kq\nTzWbruvkk0/mlqOi0Nk/dGPrgkxCiPYPb9SY0Ob0eZewDXIqK8aNbFyx31mpVNvYPxyTagDY1qVa\ndcXnx1tD8Mt6noeWlqjdYOjQodJ67LimjHPe63LZGDS1f6jKuvRUq9rKk65gsVzO7PdPa+V2ppFq\nexgq1YFl2/UQP0XTIcqiNTJs8OCDD0r3y+YM8M7lQqNEqi3hklSv7fDe2tg/8jFUWLduHRobG40u\nQ6cMHy7sjwgi+4foEvXdqVOx7JvfxAhOcnhXCD4M3MtR7F2k1AO6clXHZf9oaGjAkiVLQkoRDzz7\nBy9md8r+QYUL+4cLpTr9qc8B1TVAj54o++YP4NXUhoh0btHz0bo2XEGXVNs8FMVh/wh+3LZZGo/i\nsPQ8L/R6ObhdBpZEU8boMYF5Hbx6shim9g9VrDg91b169epMBxgsnsm0CWrIkUrzJ9lXVAty7cdk\nBUiVDbSo3X4gyntMtKovLWGZdk801ni/uW4OdQo++ugjqTU22L/9+8M2Gl27axIokWpL6HiqVaQ6\nn7bJJk81VanOWRC9VuYEoGTtENk/REp1nIplHvctWybdLyPVG/fRlYf8UvBx2T/++c9/4tlnn8Xf\n//536RjjKdU8It5dsn+YxNaFc6W6ri/Krr4OZdf8DN6g9lU/c2/x0okFYaFU6/4ezrJ/BJVqi+wf\nQaTL+Ns7QCXVIziWMtW4NSHVqVQKAweKCRkbw4X9Q7WfHc9bt27F3r17lW1QlOq+fft2Xg+C811X\nr/5IGV+Eip7HRrZ1kW19+4cJvFTwzayZUl1eZajwEs7H2gFfMYvdAd1r9plnnmnVni6C/WtrCz+g\nUdZdSBolUm2J4BKaeYhItYm9Q7WfLVtZWemkDRkyBrNuhUp1Ap4xEXYoVoqSTVRs0TgG+eNlZP8g\nHJ+8r2z37t2RJ3k2DkuqBw0aZNRmHoXM/mESWxd0pVrZeNef6TJ4wWXLG/iLL/i+D//AfjVXkJFW\nTaXas/JUB7N/OFCq2fDDDpfGyxKzf/Cgengy/e1lZFxGqpOwf6xcuRJ//vOfceutt3LT9+ler4Kx\nU+muNrdsiU5grKw5lRg1Oh5tVig0QvA4aI+DroeRXoO/j5r+X0J5j6O160tLpGj3fBF0lGoAOOWU\nU3D++edbtclCdv7JHgqLMcVeiVRb4O2335buj2tmqmyiInuCbNu2LVRv3bp1WLNmTedrE5Mevh2I\nSYW2Uq3fLW2o0gm6yIwCdCnVSWT/EF2c8uOCtX+wqcKo7QB8+4cKwXRiF154oXHbujDNUx33REUA\nQC++xSn7r7+h7ZbrkXtOkRtW6qlmfhOl/aOIPNV+DqgJWAA6xpc3ZDi3uJnJoB37NN48AfRru8xu\n5Uqp1rF/BMdzcOXD22+/PVLPZPGXfJ0jj+h6eK/rHSV9ZRVdkzjT5RI/O1epzR9Tti+q38SU7pjf\nB8K/dxrp8oHwNN4GeQln/wi1Lfity8rKcPzxx2PCBNWKl3SwCjSlH0B8HMsGRbf4S3eCaDU3ahYP\nFgM6Ur2ZKtUqlW/t2rW4//77AQBjx45tr6/Vw3aYLNKSV6rZ3olIdRKnylmjRuFDiQ9ZNlFRh3C3\nxWz/CGL79u3c7fm67E2ed0G1sX+o8KUvfQnvv/8+KioqcMwxx0RyTSdh+9EBOReqzQTA1uhkG39/\nA/x32+1JuSUL5bFlwyrSrqqfxeSpZuJ09M3r2x+p/7gEuacfCRWn2j94Y143520cpDqIuOwfsn7v\n3bsXdYE5LCZ5qnnxTzwhuqJieFzK3hJw2uWOUV+5amHtwCul+8UIxjVTqo2RwLXQ1LJna/ULguqp\nZsm3u5Sn7lBSqmOAKakWrcQoKscr29jYKKz38MMPd/79wQcftNfX6qE5REq16JKRBK1SpeuTkeD/\nM2kSuZ0s8XflQfc4vPjii/w4efsNwRtqY/+Qoba2Fr169cKJJ56IY489llveVFFWIX6lWgEZWW1u\nim7T8SFrZf9QxLL4jsJZ+qL+VVYhfdnXJBH98HEIqOjpEz4GVIVf/VLtH7xMH/n0c1RQz+VisH9Q\nU+r9+9//Nm4DaD8medIzZ377m9CWVh81fXlLSwctKWIbnsf5Tf1cU+deCqr7Xopeg69BKl0rLSea\n8FdWcbi0P3LwyuvEiJ+iiX5bHVuRLWTnnyiPNlAi1YcMTEm1izzVotW6gK6JkKFYGv2zgUlKvbih\n8obL7CGjO3JPUxB39g9SnPyrc0KMuOwfxx13HClmMXmq6SsqWijVZZxVzHQGi9ZExRjPN037hzdo\nCFJHSrIi+H5YqU4xXtp0+EUrxf6RV6pZ25Ps9TO/a93H/kFNqbdu3brQZ137Ry6Xw4GOeSrvrmrD\nfQ8dwH3/bEYqxfO9Bh7AJOnmMs0fRLb5HUt+Rx7ihL8J7e1Xzz4XAl4Z4FWgZ5+LkSobgLKKgJm9\n0AAAIABJREFUEaisPYnbbxpo5Wv6f9GqfiHg8sFPlrUsWJcl1cVo/yiR6hiQV4F1n6Ko5WUTFcvK\nynDCCV0ph/IpjgqNYpyoeMKQIdL9MqU65XnIXHcdfvmJTyjbSdL+IUIc+Tx17R+nnqqenPT/t3fm\ncVJU597/VXfPTM8+DMwGCsPgMMAwzDDDNqyyiQMDKpuKooYQ0YCoMSquN17lusSbzcQEo68m6vVq\nzI2i5kZNNCbGgARw5AYwgLIru+wwS5/3D+im+nQtp/bqmef7+aDTVafOOX36VNWvnnrO8+zfv99X\notqJhYoJdEmMEMFUFi8qckQjeoPBhYqWXjerun+oXNf0/LcT3D+48pxgFbl6Rn9Dt0S1EUu11nFa\nqNUTTezkVvIXvvyhrxlOnVYXuiJE2hLntrJPskb0D8EpHUotRk7hDcgpvAEp4TJkF1yDzM4zIUny\nh16D54fib6PkkqWy+JL7ruGcscbat4De9U7JSKeG3nwuKSkROpYs1R2UP/zhD9i+fbtjlmo194/o\nSSAXL/L9Sn5LXrt/eGmplid/iSaEkaPlUx2QJIQCAaQLxO1sM/nmAjD/SlikPitlooiKznnz5gmF\nP4pEIo65f5jBFVGt5IKTkSlcdWT138XrdtD9QzX6h1ryD13hyLt/cMLDqL84zv2GfBi5PIfi4bvh\n/qFG9K2lqE+11vkpulBRZJtePXKCKcUKB6tF/7Am4AFACqRBCii8OYoVsMFSrThvVVwwuO1pmbUG\n2xcjJycxJrjeb/TZZ58J168nqkWjf5Co7sD87ne/c8ynWu9CJZ+ER44c0XyidE1U+9D9Q55qXElA\n61mqAeDzQ4d027HL/cMORN5cOOH+YefrbLOYqVduwXTM/UMJu15rJlj1HLRUG3T/0F0UmeD+4dy1\noro6MR6yFk67f9jxal3pfqAlQnhRbXShoqLRRsMlQ4S2lsRwfOdki7wOzdW6Qm2JYVQyCVqqVcc3\nsb1QWCwXhRG03EbtQG/+aL0pooWKBIAzr0asxPnUQsv9A0i8uD388MN49tlnlesy0D8rGF2o6AZy\nUd1qUlRPFUjb6gf3jyi5ubkYN24cioqKcPnllyuWcTL6hwh+EtV2XbQ121aIZ89OaMdQF4YXoo66\nf8iOFYn+IfKgJbdyW4lMEuuKNctpFFF3ES8t1UrrKKyKaq1+GYugYv77nYtTLR9bDfcPO7HDUq1Y\nRqWcQnvpOWNif4ezxyTstws7r8N6RpWVK1cqbi8uLk46n2oKqecQJ06c8GShIqCcAGb79u3KdRnp\noAX8aKkOytpWEtVaCxWfXrMGVw8YgCqNjGmxemyK/mHlIpcvW1g5atQojBo1Sr1NB9w/rFiqc3Nz\ncfToUUsC1+zY2eb+oQU/L1gEbPNGe+o26lNt5THXqKVaaE7IRbWXj+DmMBtSzwhGLNVa1yD5feOr\nr77C//3f/+m2IceYX7p6fVJA2/UpmNI1WvDcRhaBHe4fehiNG60cLUTJJUvcUh0I5iCry3WItB1G\nKK3UUH/UcHptk971f/369bG/CwoKsG/fPgDA+PHj4xITkftHB8ftkHpqYdPMYLfYVbVU+8T9w6il\n+oOzK+ULMjPx3CWXoDBT/UZgl6XaCnau1I5iJvmLmfazs7PxzW9+E5dccgmWLFkifJzo/tTUVFRW\nVipmlxQW1VZ+J34hX4RBKjlPuaxRjPbLNp9quahWW6hoYL5IgcTx5z7X1dVh7NixKC5W8MONdctd\ny5aR9OZOrZ/go2SojUFKyjlf4mXLlun2kccuS3Vm/szY34Fgp4T9gVB0/Yu8johm9A/7MHiNE1yo\nqB6qT3l7MKUzUsJlKos2jWM1tKoeWqF+eeTzMD09ndw/OhJ6i1vcsFQrlTVyMqi1lBa0NxWsH0Pq\nyUX1HoWU5VoLFa/o3z/297U1Nfjfq65SLeuHkHoHDhwQLuuE+4cRnz2l1+Jdu3ZFTU2N4luYKLxV\nUK9eAKioqMCdd96JmTNnKhzhzkVb4kPqRdoAje+ZQFgjVa/RjIpWTkejyV+MiGqFsoEL4pOKNDY2\nYvTo0bYmpbCKl3Gq1Vw21NbYlJWVGW5DjiFRrVFfMOXcteKcgE7si9xqzDTcP2w13Njg/qG8Ra1e\nd0Sj06JalObmZuzevTuuD8nm/uGfq08Sct552tYkoz/46dOnsWbNGt1QNXruH7aIaoGoFkYw6v7h\nxgkd4m5472zZEvdZy7J8W3193GethwM/Rf8w2qYWjDEhS25JSUmc9cFo+8KRAjREdSCgYOmU7VPD\nDUt1cOqs+A38Aj09+KgYcoy6f/hpoaIcpd8oLZy4Ddq/U/QcnD59emzbVRoPxFbx0qdarQ61rKta\n56hIf4yF7RT7finhXhpVxLt/uCOv3F2o2Nayx2B75vDyjbGcd955J+6zJElJF/2DfKotoPeDmhFR\nb7zxhq4ASUZLtdGFim48gQYVRPVFvc5dxLV8qsPcQ4eWqPbTQkURDM0fAfePHjqZK/Xatyqq09LS\nUF1drSgm9OoWTv5iZeFVMZfhL6L1KluBiLqFUDJstbVLVOtbqtn+M7+HVDMY7JNV4nVHUfm9ReZL\nVVUVevbsiWAwiPR0DUu/RfzgU82jdt+K9lVJHJsx2GgjKKrTK3Hy8DtQvlNx7h8u+FTbIqoT7oHq\nluqggqXeLbwQ2qtXr07og5b7B1mq2xlOiGpAP2WuWrt2WqpTg0FbL0VGLdVunCq8pfo//x4f71dL\nBPPHBgVEtR9C6tmJmvsH75ts5HX8d7/7XdOiWqmd2bNnY8GCBUhNTTX1itOVhYoAkJ4hb9SYqNZ6\n7e6mpVo+/joP/gCAr3YBAIITpxqrO7bNuKiW9yUrK8tRQQ3401Kt9p2j5XlroV39iatP8O4iSRLC\nOeNU9srE1ukv4MZdw/g4iFiq1bYBwZTEdR5OYOb3dfrcARJF9SEuhC2J6naG2SgddrZrNOyRKCnB\noK2CLmoV5q3Dan1142ThhTGPEVGtNVYvrlsHwNx38sJSLfdp00LN/WPy5Mlx5UT73bVrV2QqLPg0\na6kOBoPo27cvOnXqJFSP3u+j7f4h1EV15POppRltL/5S/FgNS7XRMHRsy78MlY9vSzYI8lB4agsV\no4eJJLo5dTJxm8r5q/U7ic5tu/BDnGqeI0eU04JHz+U1a9YI12UaW+rj5j1TOw88NEyIfE8pAPU+\nevd2Uu83nzpV4GHYAEpvSLTc9gAS1e0OpyzVRtpVasOIZVCthymBgL2i2qCl2g146/Kcqqq4z1oL\nFY2I6qg4NzMb5LVaubGVl5cLlz18WCxFtlr0Dz4FtNZ8nDRpUuzvadOmAbDP/UOkHj4ygnkszmN5\ngo4VfzV2rCFLNb9wMf4zO64suIRQy6jo1I0vqDyvtOabkSgEdmDWUm0HavXxr9ijaN3P7HdbsV5H\nW3N8YphIRC22u3f3GKGQeoC6+Jbc8dA1I6rtThhz5MgRlJaWJvRB63z2o6gmn2oLeCWq+RS7VlAV\n1TZbqs+t2Oa2q5R341Thv9+Qrl3jPmtZqlN49w+NE79fQYHpuWDXb2BkzqSnp+PkSQXLoAIib0q0\nLs6DBw9GZmYmsrOzY24jdrl/iIy5EVHtqKVaJkjZ3i8tViavlxfV3P5gAGiVXceshOgyulDRKibc\nP/QixNiN3oOeHRi1VA8ZMkRxe3T+FxUVYc+e+AVy9kdUMeCi2HZMcXtb6z6unNoDoZcudCKiWj2k\nnqSakt1ezMxLu+fy0aNHFc+XZBPVZKm2gFfuH/LoIFbdP9yyVEcxElnCafi+HOWirmgtVDRiqe7V\nqZPphwS73D+iwfRFMCKoldw/+H5qXRSDwSCqqqriLBRmRbU8SQCQuFLcUfcPGy3V7ItN1upSqfcM\nXD85YSoVxT9Ymm5LbnCIOGWpNi6qS0pKnOmLCkYs1WrlzCKvo3v37rrlDx8+jF27dileK7y0VLe1\nHVTcHkwpsKEfTiPyPSWVcu49AJqxVNv9oNXc3JzwJokPqcfjx+gfJKot4JWothMjlmqtxXh2MFhm\nKb6sb19H21KiKDMzzjptl091G2OmIn8A9t3M+BTEdqC2UNFIwgslnHotbtX9Q7Mfp8UeRFRxKray\n3kLF5ng/xkB5fOxn023FuX84c+OTCpWTvPglPBhg/lyw26dabgFUEyKrVq3C008/rbjfS1EtqYjL\ntKzhghX4zada6X2tkkuIt/JM73c2Mg9EBHhOTo6iIUQ05KlfIFFtAa/cP9TasPNmomSp1lvYZwb5\nCL08cybmDhiAxyZMwLiePW1vS4nG3r1jf1//5pvo89Of4sjZBRPNGr6qKZyVTFNURyKeu39UVlYK\nl+0tGxMt1ES1EUu1Ek77mqrVPWzYMOGyPJG/vW+1I2LlsrKt1avXDJ+IRnaAVD1IvC0B9w+p5wU6\nndEm0KMXAoOGA506Izhnvqwb6l/SyjW5urra8DFm3T/stlTLw0kaSyeeWJct56ORh4aAWrQSb+RL\namadgdIC/tOSpDIe7n0/py3VF110kW4ZtfDAWu3I05v7BRLVJmGMYdvZVNVaZZxsn2/DzMVOrYdB\nl0S1nJ6dOuHXl12G20eMcLQdOV0yMuI+bzp4EPe99x4A4GmFVfBRjITUa2PMc/ePjRs3CpcVXai4\ne/fuuPCP0YufVVFs5vjy8nLdZEx6N46BAwdi6NChqlZ9Ry2gwueWwT4k9FnneN6yWlmN4NRZCExo\nRHDKDJ225O4f+qI6MHqidn0CBKfMQMriuxEoP/dmyylRHTKREMuN7I4ilurjsoyxK1eutNSGLYLf\nwDzWTAAj2JqdhLPHILtgvn5BQ20rXZu8FdV6c1d0Hlx22WVC50FqampCuUgkonnszp07hd0V3YJE\ntUn+zsU0VsJJUa2XdVEUtR4GJClBVPPW2faAkhj+9KxVZ+WuXarHGXL/iETMu3/I/7ZwMzNy4enT\nJ94FQOui9vHHH8f+9tJSnZOTY+omID8mFArh4osvjkUhMUJg6GjDx3AdEStndArw9eodrzRGtcMQ\nHDEWUoq2C5E80QwTsVSrZES0ip/SlJt9wLTbUm21brfcP9Ky6hO2hdJ6IJR2Rlin5zXG1xIUeXNj\nr6iWJAmBUK5oaYUtksLn9mupVvKLzs1NHL9XXnkFX30VH9ElGAzqGnnsDNxgBxT9wyTvvvuubplk\ncP/QEtV8RAtH3D889jtXEtV/3rpV9zgjorrVJvcPKzezzp3FM3MpxXtWc3WSB+P32qfajKg2YqHR\ntIAeFF8Iqly5TZbqLoXAflnmyIRXzTrtWBFMqj7VKnPfIfHrlKXaDEbm8o4dO4TK6bWhtL2goCC2\nAHHAgAHCdUeRnxNOiOrMzlcBrAXBVOW3TZn5l4IxpvDAnoG2tqM6LXnpY2/ep5qphgi0HzOi2sgD\nIl926NChqKmpwTPPPIMDBw4ASFxoDgCZmZnIycnRrN/tiD56+OeRvh1y8KDyqmU70FtMYpXWSMR1\nn2ov0AqFp4aSFV+rHrvcP6zQ18DCz/fOur9EEX3treb+4ZZPtRkLpdIxZix8bNMGw23H1W2TpTrQ\nv5Yrzx1wUidOc0I/DMxceVsRgYWKHVBUO8UIBZc5edvFxcWK20Vx2qc6EMxBKO18zbqV93kpmPVh\n7JTCVjFR7SZuW6olSUJ6errmurTBgwcjFAol5D3gMeOW5SQkqm1C6XUGH+vTTqKrZK3eJNSO3nLw\noDui2mNLtRnRqjQOjrl/2HQzs/JKXNR1RM39ww1Ltd6CFrV6lI4xY6m2jHDdOtajYi4kHp/cZetm\nm/qhdKxymnLVkHoqcaat4tTvJF/se/7555vqi1PRP8aPH69Zh1KUGyPXBPvHlH+DYrZ+ge/g0oON\nEq2nRMJjaoeN8wo7o3/wROcen3ZcTkVFRVxZvbr8gr96k8QYeQVhxySIPuE55f6x9/hx1xcqeoGZ\nMIGGRTUXJcMIdrl/uBF6yOvoH7w/nl69gH2W6sBknUV8OrBd28UK6o1FChe9gy+fk6dTPzceRqZt\nQO7+IZCmPMks1T179sTEiRNRXV2N6dOnm+qLU+JJkqSEtNF6otqIhc9pn2pJ4qPOiFbjPzGqS4JL\nVvSzd9/F6egfZu4JUU2lp628NszxtD+V5BFGRIudotoqatOxxSX3D6/RctuoV4kmwWdTBLRF9T92\n7zZtqbbL/ePDDz8ULtvTZDhDL6N/AMCxY8qZ17TqMXIz0Xw1HfDJzZ0X1fxcPaoT2SXhO5p0/5AL\n6eMqv4uB60lgZKIlVrWsRr1Wr73Dhw/HpZdeirw8nYeTs5gVoEaEQrQN/p6g5getFDlKtA3+bz3U\nhTtfh9nfReQ4n5ybMdT6469+2mmpPno03u9d5NiomNY7Z0lUt1OMrEC140m/ra0NDzzwAN5++21L\n9WpNxw7hU60xZrkqvlxK46Bn8f7fzTqv3VWQ1+rWK8IZMxKtrt/4xjdQVVWlGW9UbaGi3ZZqPf9R\nIxhx/9BCKrUWc1m8IZ0bHR+hgy+frRO1gP/uRk7QOFEtcKCBkGGBUeKi2k+v0t3sy9q1a1XbVhLV\n8nCYemgtVCwtLU0oP2jQINTW1uK2225TqZE/x83dW9qavxQo5Z/5oIyapbr9RP/gjToix0YfyPS0\nld8SwJCoNoHSk5F8IYgedlxom5qaNOu1ow0jovreUaMwr6bGcptuo2Wp3nXkiOJ2o+4fAHDlb39r\nrGMK9bp1g87MzEzY1r17d0yfPh3l5eWqx9llqebhj58wYQJuv/12y/UA9rl/qKXMdh0dUS2lpcV9\nDs64WrO8IRR8qtlhdZ9JtIiHBZVS0/QLRcsaXuzmHEbOhX79+llqg4/qoSeqzbTB/w0oJ8UZMWIE\npk6dqrrITJIkhHMuhBTMRjhnrOH+nEMkkY0zv3ko7eyDtJSGQLCTYpnUjFqFrXx/lEV1SlgsCZcd\nOO3+MWbMGEN1A+cs1XraiizV7QCrkTfscP/YsEE72sBVV10lVI+WrcKIqA4FAmgzMbm9PiG0LMzr\nZFnI5JgR1Waxq94MLsmNE9gV/UMk45uZ7+PoQkW3XKMM+1Rz4Q3L46PASF25BXd2uX9EFydqCef0\nc5nypO7mXI6Uu6E+Rmlp4uLcDoyI6vz8fKFyahQWFqq2xYtqeTIYEU6fPpfOnu+bkouHvLwaaZl1\nyCm8HmmZSsLT/6TnTkQ4ZyyyOl+OzC5XIiNvKlIz4h8wQmlKLoT8teLseCb4WvvbUm1kjvLuUtFr\n7JAhQ1SPiYpqvegfXmsIHhLVJlAS1WYXfdiJvN6CggKhY/5PY58RUR00Kaq9Rk20/uqTT1SPUXT/\ncGHRlZV5o5dtkEfNZ1RzsZ5Nlupo3NIoJ07ohIETpF2Iaj14S3WQE9WZ2QhecyMCYy5C6Nb7Ey3s\nVr6HUfcPWfSP4Iy5kM4vhVR6AaTe5iy257oR/zvV159JKBIMBjF2rBWrqPW+iJY14++slRKdr/vU\nKaVQb+rskiXCEnloVoqG5QSBYL5+IYcs1YFgBtIyaxFMKUAgkI6U9N6QJD5Bkv6bsHOfk8v9w0r9\n0c/y5GFq6C1U9Jv7h78C/CUJSj+ikegfdkxWvfZErYMHNPYZEtWShDafTW4R1MTwda+/bugYNyzV\nVubN0KFD7eiO0Kt1uy3VIpZrN3yqtUW1S+4fet8zFEJg1AREVvwFgeEXQlLoV6DnBUDPM6+u2THO\nxYmv37RPdUT/ePnczslFaN5NAIDW5S8baFSp2vjvMGjQIPTr1w85OTnIysqyVLfVvpidpwMHDsTa\ntWsRCoVUzwetpEu8qDYqRLp3765YF6B8L0rh35g4RDClCyJt2vkg3Ez3LSaMxdw/3PQFNyuqb7/9\ndrzxxhsoKipCcXExXnvtNRQXF2Pbtm1x9Zi5J0R9/pNtoSKJahPs3r07YZuRJ3M7RLWeC4rwIgKV\n7YfuvBP1zzwTt80JS7XXp8MxE+netyosnHDq8meXqDZ6kzMVVu7s/LCaUZFPmmRXxizRG4ep9vxi\nqQ4EERzXgMDYSWJighfdCccYOEPlYxC9FmiJN7UxsyiClG7gRt/U2IURUa21b+rUqRg8eDAYY/jl\nL3+peJzWvOVFtdE5ruWaolSXe1nufBb9I+H3FhHV0a1S/NnGjN+b7ETkup2RkYHLL7889vn2229H\nMBjEAw88oFmXiD5RWtujhN8s1T65EyQXmxUiObi9ACaaclaO/InNrKg+vGQJ2u6/H3nhsGFLtZmw\ncV4/Zf7n3/9u+Bil7ylJziTDtatOozc5M/PZ1AI/BXh/TJE5IkmSrjXeUfcPt0SE3ljGXHAEL+18\nvxMs1WZD6p09rk3jLYPgOEvduiuWU++Gu9diLezqiyRJKCkp0XQz5OetXGzwotrodVfu12r1TZSt\niIyvq5ZqHgOWau67tLUor+lxArvcP9TuM2qGluzsbNW6ROeo1xqCh0S1CUpKShK2mfWdA4CZM2ca\n7kNqKu+7ZU5U82vzc9LSYmLaqE/1eBPxjb0+Hco6Ka/aNoMTftV2WartuvG54VPduXNnw/0KBAJx\n1jQl2r1PtRQwPkf0fqvTBnxvlUS11loTNbHD96Gz2PqQc4fb43JhB3ZZqrXKqFmqDx8+nFAGMO7+\ncfXV8RFiRCzV7iFy3rl3bjaf3Bi/QchSrez+EWnTiJxjM277VEevsVqCWHRRMYnqdoDSymkrojon\nJ8dwH/iV3kC8ZUJURGldWnlR/eF29axvQUnC/NpaXNm/P4Z264ZR3Y1Zl7yiwMaoGE74VXslqs1Y\nne26CPPng8hFU+T7iYpqNZHgC1EtSeoL+cz0Qe4WpHA827pFvC7Z+EQ+/BPYka+1Ld1q48lvN/i9\nrLof2YndAl/koTaK3Kot98NuaWlBW1ubUHvTp09Hr1694rbxC4e9FdUi4+ne78/a+ORKCnM34TdU\n86l2D9Fro9m61c7JyspK1ePkolpLYJP7RztAKcSLlZB6dk1eM5bq/hr7eJF4SmPBWHNbG0KBAP5r\nxgysmD8fA4qKhNr3+ilzTlWVbXXZIaq7cq/DvBIEZkT1Z599ZkvbohfJioqK2N9KsXJ5nLRUu7cY\nSkJw6iwgnJ64S8vVQq02KYDgNxcjMGQUQt9cnLj/vB4GKosfg7bX/lvTp1p1PPntBseWLNVI+PyP\nf/wj9veqVauEzzGl9vjIIV6KarHzzr3fPxCMj5ok1D/Jn6LaDUv1+eefr1Q8Aa0QjV5rCB5aqGgC\npdfMVizVZiav0kVRPrlE65wMYC+A0wD+duONcfuMiMSVspBLgPjloWnPHuE2nKCbhk+XUfSyKoqQ\nn56O3bKUrmYs1V27dkVJSQlWr15t+Fg9tOr5/PPPbWlDNAV0Y2MjCgoKUFJSgoKCAnzxxRea5R11\n/3ALCZCychBsnIW2V39tS5WB83oAauI5TyRkWbRv8ePDvtgEJhC5Ra8eyaa3LF5gd1+MiHL5PA6H\nwzExHA6HsWWL2BsIkf576lMtcKdxdz7wbZl3/0jLSswc6xROi2o1S7Udc4cs1e0ApacrIxOQ94e2\nS1SrLUzRIgPAjQBuBlDJuZQYEdW/Wb/e1LFvC17cnSLFRiuLHZZqXpibEdXf/OY3UcS9KXBjoaKS\nnz8AbN261VA9/fvHvz9Rs0RkZWVh/PjxwpnoHI3+4Rpn+xtwTigEL5tzto0AghOmiB+oMJbs09UK\nBQ3WY3Oaezcx0helqFJ69cm38edJ165dY3/X1p5LsFJZWYn33ntPty219nhEEr04h88kTMJ4iUf/\nSHyYdDdREY+dhhi1t/N2iGq/Wap9NiOTh3vuuQd5eXmQJAnTpk0zNAGrqqpi8VJHjRplamIp+cSZ\nfWKTAGQouLRYEYm9dBaN+YUUG60sdohqvg4zNQYCgYQLjdEMhErRZQDtC+2kSZMUtxvN3mb2Qqt3\ncXXcUp3fRXu/HcSMWs4JxcCAOoQWfAehm++FlGtgIa9CnyL/+Mh4B/hX5h3E/UNkbY3W8fw5LvdD\nNZKcTLS9KPx9p5ONi7918TSyhxL6rkuJcaLU3D/cm7d2nyNlZWWxv3v06KF6HrRHUU3uHyYJhUJY\ntGgRTp48iaysLPzhD38QPjYlJQULFy7E/v370a1bN1UBo0U0MLocfnLNnj0bK1asQEpKiu7rvm98\n4xsJ23iB1zU7O841QYvramrw7x98gAMnT+KJhgbVcg0XXCBUn1P4zlLNP9GbXKjI3+j0Ur2KotUH\ntcQaPXoY8Mt1EKdFdaCqFpEP3jHXOWHO9sFhMSEVdzN+kF0PqAk+1cbOKz8vVNTC6IMv30ZKSgqu\nvPJKrFu3DoMHD1bth5lsjVrw411eXi5cv3X84+pzBm7uCViqoyI7IU51EiR/UeOSSy7BJ598grKy\nMoTD4Q7l/kGi2gLBYDAmJIwuVAyHw7GEBGYmr1JWLf5i2bdvX/Tt2xfr1q1TFdXBYBA333yzYrxI\nXiQ+e8klmPTCC0L9y0lLw5bFi7H76FH06aJuwZvi6gU4ETOWarVfy2xIvdE9euAv27ahNC8P6ZxF\nyayodurp3Uj0gSh89ACnMPPgYFv0D8BSVkWpqhZs3RqBgtG2/GahA9BskxtAgqg2erh/hJab0T8A\noHfv3ujdu7fmcUZEiIjo6cJd3426e1lBWbR6R8LCRKWH3wSDtLKl2s15bLeozsnJwejRo2OfnRTV\nfrNU+2tGdhC0FpSIoiSq1S6WWifH9OnTVQOw86K6SiGMnxa54TD6FhQktD9L5gM7SyOkjhuYsVSr\nHWPWUv1f06fjl1On4r1rrsE/OL9KyaSotssyzSMqqkeNGgUA6Nevn/DCQzVEL5q8LzaP4+4fQfOX\n0+CkSwRLnvWf/XKXTjn3ifzZJis9N86RbcYWwPrJ/WPHjh1xn50Q1UajhhgR1SJ18xb2vXvdS1ri\npBuUOfhrQHKkKVfCyegfUSMfWaoJVYw8LfFlnbJUR9GauJoZuhRuThkpKTih4HpihCc3rU5uAAAg\nAElEQVSnTMGQbt0w7LzzUCiYitQpzFiq1Y4xK6qLsrIw/+xCIj7Bjtk6BwwYgA8++ACHDx/GRRdd\nZKoOo8jn2bhx41BfX4/0dIXQbw6ht8BQVFSbvpkEzV9OpUxl15nEgmf+x3ZtM92WU0j9a8Ca/qFf\nULcibvy/3GnwcP+I6uLiYlvrM/td5MeJxqi20p57+MsuGOHjVBtJ/iK0yNEZ3I7+cfLkScXtZiBL\nNYFjx47FfbZLVJuxVCvVE0Vp0ZyayCtR8adVoktGBr47fDhG+iBBTKoJS/VxlYcKsyH15MfxVnAj\n7h9ZWVmx7JzBYBCLFi3CokWLUF9fb6pfShhx/3BTUItgNcGBvvuHtctpYOR4kV6c+W+5WMQTNwn0\nqtAvJILN1lwvhWEmZzRwMk616HFGLHvNzc3CZb3BX6KfReIT44j4VKtv99b9w85QiXxdNTU1htq4\n5pprVPeRqG6nGLlw89mBnEj+Ilp/3759VfcpWarVvuXq66/X7Z8f8cNCRfnc4S3Vkko5npSUFHzn\nO9+Jy1AVCoVMpfzWQqsPTr2Gs+uiadUao1dWsjqXsgRipp/tg5Rv7+9qC3adS/x15/xSg4f7R2gZ\nWTSplP+Ax21RvWaNgJ8/h6sP0z6L/hFK49ePKP02gu4fHs9jJ90/ohpIVPuUlpaq7vOb+4e/ZmQH\nYT0X09muyas2ufiJe9ddd2Hu3LlYsmSJtuWR9/1WKPvyzJlouuEGlNiYRMVN/BZSz6z7hyRJrogJ\nrVfHfru48ThuqbYoKqWiEv0y0f76cawV3F+k6kGxvwMTGoGzIfoCQ0ep18N9N6mPtq88TzJF/7ji\niisQDodRVlaGKoHsrm67f/CWdrV6e/bsGdt20003GeydedTNPN6Q0amR26JgEEj4Db33qXb6HFGL\nUy3arlY5v1mqyafaJoz8sLv47IM2TegDBw4IlUtJSYmLI6mGkvsH39fZHi80tEqbjSekE6JaHlHE\n6qtjI4wZMwYffPCBoWP8IKovuugivPPOmQVzAwcO1C2vJqqrqqqwbt26uG2mo3+kiS0alXr0gtS9\nDGy7xsK86M2oq1h6X1dRWp8hE9pSOIzQDbeB7fkSUvdS1WoiK/8av8FgVBU/uX/oCfyKigrcfvvt\nwg93dvi+GjlP6+rqhMpdc801OHToEHJyclxOnuQ3uyD33SXlhFjxZc6+fUq433orqleuXImLL77Y\nkfqj8/3QoUOW6/bDfUeO32Zkh0Trojh+vIif5RlERbXoRVjJ/aO9wYtYJf44d27c5zSVm4bZkHpy\n8rlXp1myLIVuiupRo0ahoqICJSUluFGWvj4cDqveNFNSUmztQxQjD6xDhgzBmDFjMGzYMMVkNKKR\nd/gwYUrHJqA2LyZN0z5OVn/oGwsRuu8x3TakDG8X+CqitFBTfsOTJEjhdAR6lCWGHpPDh+YzOLeT\nSVQrlQEQSynOY4f7x6effqpbPoqRc7pTp06uZyNtaxW757mFJEnIzL8cgWAuMvNnK/9eSRL9w07U\nLNV2zBeyVBMYMGBA3GctK0VRURGuv/56nDhxAmvWrElwHRHB7KRLWIssSTjiaUpa+8lN004Fe/PQ\noQkXxrULFiiWtcNSbbYGu4VDMBjEFVdckbA9EAjg+uuvx9q1a7FixYq4fd19sPA0GAziwgsvVN0v\nSVLc+aB27pm62HMW1dCiJQBjkLoYC0UpaVlm5fty8oAjX5/bNXiEoXZsR3HMZNceQf/XwJiL4pPo\nWExT7iVm+8K/JbFan1PHeS1o2lr2eNq+EqG085BdOF+jROIbYKXtbvpUu+3+EW1PZB2BHl7PQR6y\nVHvApZdeGvdZzwJZUlKCXr16Ydu2bZr1yv3a5JiddP+7eXN8X0zV4m+ydUT11q+/TkyqU1CgWFZU\nVPeXxfteMiJeCB3TWG3vpqVai8LCwgThGg6HfSVm1BC1VJsKtceLyoxMw4JaF3kb/I3KoO+x7Sgl\nf+Es1UKkx8c9liyKar9bqo3gtqi2MwKEE6Rl1njdBRPE/xaMtShub093XH7+RaOO2ZHSntw/CEMX\nffm+rl27mmrPyegJyU5aMIhBGuN6+/DhwnXxIfU+nq9srQhKEti//Rsi99+PhydMiNu36eBB1fr9\nIqqV2nP7ta9ZRM89W0S1E7+JvF98Hz0WQFKOQpIf+bVHtH/8uBmM8ODnhYqifcnJybG1PrP4XVRL\nkjNJrpwl/jeLtJ0JsdvWspsr522cajvhQ/dGE85RnGrCEbQmlnyy62XJ491K7MYO9wa/IUkS3rjy\nSvy/acp+r+WdOyut31aEHx81K3i0nLK/nTp+FtVO3nztvGiK9lvpIcHwQkULv0mgfozyjjhLNdee\n1wJI6esyE5bqhIeF9uNTLcoFF1yguN3sd1u7dq2pfvjekOKzkHpCJHh5qHnheuv+YecamSwuj4Wk\ncQ80ClmqiQTsEEsjRoxAdXW14j7bLNW21OI/irOy8A2VSBEpgYDw+PGiWi1cn9Zvuus734n9/WvO\nTUiL9iyq7cRV9w8ronriVIQW3gGpnIsjH1B3/zAaJcN2lM6TE7JkGKLhsyx+Lz8JQbMimBchRo/n\nOXz4sOo+rQgP/j+v/d4/BRLOE5X7i8fzODVVIHKJIIFAAGPHjgUATJw40dZz1G+Walqo6DJGLWBx\niUFUUopfdtllmlZqcv8Qozw/P8H9IhQICFuq+egfatkatUaxJDsbR5YswdenTuH83Nz443xsqU6W\nueGopZo/xoIgkSQJ6FKUGFFDw6fac0t1XmJCGvb5v859ELUq8t+jnUf/UKJXr174y1/+AiDeFcTs\ndystLcXGjRtV96nhe1GdhJbqcz7UsS0AgFBaGVpPnwun6XVIPbvF6ujRozF69Ghb6wT8J6qTb0Ym\nKYMHD0bXrl1x3XXXJewTdf9Qi2rw1VdfWe2eIumciG+P7h9yfj5lSsK2kBVLtYqo1hvH7LS0BEEN\n+FtUJ4v7B1+XEUu1HgkWVjt+E74Oedxybn4ZXdBnN5Le62JRNw6/ubVYwOx50b17d4wbNw4VFRW4\n6qqrYtvNimqtV/mFhYU4/3zluOd+f1hWTgMeX8JvtLV8GfeZxVyk+O/ibd/9JlbV8Jv7B1mqXWLy\n5Mmq+0TFktriFb2oIOXl5QiHwzh16pQhv+u35szBuF//+lxfhI9MTroqZIU0Yqnmx4dfuBgr58CN\nymtR7febb5RmLrqKrZZq3mpmx5icOhH3UdJ0//C5+DTrU52E1sgoVs6TUaM0sk5a7Ae/77rrrsOG\nDRvw6quvCh/nC3TmhhTI0NzvBaG0Hjh9TB6O9IwoTIzd7u1CRb1smn7Bb+I/ea9WSYSeb5JVC+Se\nPdqxOlNSUjBv3jxMnToVDQ0NuvVFKc2LX83v+wusRcIK7jXBQADHNcLcyeHHJ03FXcfsKPrZUu1k\n+9kKDzt2YWv0D94Sa8OYsC/iw1r62v1DD7PuH0kcp9ovIfX0LOaBQAAFCqFClayAV199dezvG264\nwVR/7EPP394/cyFKgtBXs1S72PWjR48mbJsxY4Z7HbAAWao7IPKMdEYRuYiKxHosKChQvGhqwbsv\ntHf3DyVRHZAktAqetPzo5OhE/zCKn8QCj919u/zyy/Hyyy8jFArZlipXCVst1W7EmfXzQkU9ROcI\nL779/rCgAT+/2trafNEPJZTmd5rCNaxXr164//77VY9xE8XMnFIqwM4YQlIzqlzukT7BEJ/w5Kyl\n1UNL9UcffRT3+cYbb0Rhoc0x9h0iI8NfbyN8J6pbWlrw+OOP47XXXgNwZmXyPffcY+tKVLfJy1OI\n3yqIyEWrp0rSF6vw0SskAI+MH48lf/qTI+15jZKoBoDRPXrE/u7MpRE3g9c3IifYv3+/rfX16dMH\nixcvRjgcRroNY66GrdE/EgzVNvzOoRSgVbawSW4Nd8KH20kExXHkX/+M32BxoaKX8PPIb6+q5SiN\nm9r54Z8xTuxHRt7FaDn5GaRAGGlZQz3okzEY/OdTbUdSFit069ZNc3/v3r2RmpoKSZLQv7/HSa84\nfGcCeOyxx/Duu+/iySefxM9//nP89a9/xc9+9jOvu2WaIUOGWDpe5OI1bNgwS22oEVJ4dXnnyJEo\nO3vCvS17DdgeUBPVJdnZ+O3s2VhQV4cP582z3I4Tlmqvb3JOiIVOnTo5KqgBexcqOkIW5/oi/519\nuKBP6qtuGWR7v1TdF8cerpwPvpddHNRI7uQ1ph4kPUfhQSCYg4xOjUjPnQBJ8vnbGyAWYi/SeoDb\n4Z+oNW5SWlqq63qSnp6OGTNmYPr06br5O9zGV5bqI0eO4KWXXsKyZctQV1cHAFi0aBF+//vfe9wz\n83Tv3t3S8SIXtfx8/nWSPfAh4qJicMvixY605zVqPtAAML1vX0zv21d1vxqjunfHX7dvj9vmhE81\nn7GKEMNe9w8HOH2K64R6RkV25GtIud5amIIzrwHbuhltzy9L3HmQFw3KSP0GgH25U7bB78JOnKam\nJlxqIP68mygmo/L92CuJam/PAeOcsVTzUUHcHPuysjJ8/rksnJ9Hv3t2djauvfZa3XJ668i8xFcm\ngNWrVyM9PR3DZamhp0+fjqefftrDXlnD6hOf3uRW8nmzi7xwGFPKywEA82pqHGvHLzjhM15bUpKw\nzewFS+u4I0eOmKqzo2Or+4cTnIyP/qFlqZYynVvQKYoUCCBQ1lt5J291V6ujkDtnDL4F8b8QdB+R\nN0ntRVQnW7QYFjmusse9sa+vr49v2cXfvfysxgCAfv36CR3jVBhhO/DV7Nu+fTu6du2KN998E1Om\nTMHYsWPx6KOPJoTBSiaULF5K1NbWKm73+qK2/Mor8a9Fi/C0ShpvQpvvyh4Qo7T3BZ/JhNr55RtL\nNQc78vW5D7zwz1YOuekb0gUXFPGL+Xzsh+w1Vt2u5FZBpQdJ37hBqaF4Tvq8zyqkpPOuU96F1HPz\nWtfY2IiePXuioqIilnUxmfGV+8fx48exc+dOvPDCC3jggQdw/PhxPPDAA2htbcU999zjdfdMIXpR\namxsRH19fYL/OD+5U1NT4x4ynH7gCEgSyjsnZkojxMhQSLrghPuH16glj/Ab1dXVaGpqin32vaWa\n74M8w2KShdSTwoL+8Rb96P3wO/kNNfEtz6aYnOOm1Odk/B5AIBA/7xnrGC59OTk5uOaaawwd06tX\nL4d6Yx1fXYVDoRCOHTuG73//+xg0aBDGjBmDO+64Ay+//LLvYhGKImqpliQJXbp0UdwuZ+rUqbb0\ni7AfxdXzNr5S1TrOKb96Uc477zxP2xeFd5dKNks1QskrqkV9o6Ue3A3TD+Oe5HQWMIwoWSt9Mec1\nSXxY8H+fVeDcViKt/l3U6jV+Tkzjq6twYWEhQqFQ3OK+nj174vTp075eNa2F3T7VfCIMP4doSkZW\nfetbttanJKqdcP/wOuSk718TG8TU93HiVMzMiv8sd43gzn3FmL1eoeTqISqq+XJJHFKPp3dvFX9z\nhxk2bJhu3OFkzJIaCGTpF/I7UvRtZvx4h1KTw1DhFjNnzgRwxvg6YcIEj3ujjo+uwkBNTQ1aW1vx\n2WefxbZt2bIFmZmZlmI9u4GauBW1VEfhw8MouX8QzjGoa1fcMnQoenfujN/PmWO5Prf8p72+AXrd\nvt20tLQkbNP9jrn2X6NC82+O+xzZuC72N/t0te3t2Qa/wBKAVCr+ylYqveDMH4EgpPN6aJb1O2Vl\nZbG/p0+f7kkfQqGQbvZD/h6WDOe0FEhFRqdz631S0o1HaPIeifv/2U9B/1pjvaCyshKLFi3Crbfe\n6miWXav4yqe6tLQU48ePx1133YV///d/x6lTp/D4449j9uzZCGmEO2tPzJgxAy+++KLq/uLiYhd7\n0zH54cUX44cmjvvi0KGEbUqi+o+y0EVG0Hor4fUN0Ov2RRHtZ05O4qI/vWOltDCCs69D5J+fIDB0\npKn+JdSZx7n1HD9mS71eIGXnCpcNXjYHkaZ/QCorh5RqLMKR3+bi1VdfjR07dqBz586ORmvSQ29c\n+Hus38ZRjZRwObILb0Bby26E0pxJhOYsytf1pIix7TIibkxe4zul+thjj2Hp0qW49tprEQqFcOml\nl+I73/mO193SRc2CvGvXLkP+pryvUDK+kuuo7DmeGBrJrV/L63nhdfuiiPbT7ELFQN8qBDQSoFgl\nMMq/rz3tRMrJRXDUeK+7YQuSJFnOV+AG/FvVZDmnASAQzEQgWK5f0JdExzk5140R8fjK/QMAsrKy\n8PDDD2P16tVYuXIl7rrrrqRweaivr0eKQqQHoynE+Zt5Ml3YiETsdP/ws/98ssxT0X76aaFicPpV\nZ/8IIXDhJE/6YBjRSB+Eb6B7jzdIURnm4+s7IY7vLNXJSkZGBhYvXozNmzfj9ddfj20/ffq0oXqS\n2VpAJEI+1f5CdAGin0LqBapqIfWtghRKfGj3LadOxn2U+rf/5FHJDolqjzjr5sE8tFTn5oq7ZhHa\n+M5SncxkZWWhhMugZzT0S3uLotDRcctS7fUN0Ov2RbHi/uElSSWolQiS/cYJ7Hx7xZ8bfn4zluyk\n5zXG/s7Im3L2rzblwi7QuXPnWGSaiRMnetaP9gBd6RzGavzg1taOEQC+vdJRLNXJEkd+z549po/1\neoyTGhq7pINEtXOkhHtD6nQZJCmE4NnQeS2nNnnWH0mScMUVV6Ctra3DBIVwCn+ZY9oBdl+IvE7q\nQVjDTiGWkSGY5tkDVq1a5XUXhNi6davpY/0mqkOLlsT+Dn5jkYc9ESDgXiQDEoP2QOPoHJIkISVc\nhlBa99h1RZK8XTsmSRIJahsgUe0z+Bu3315DE2KEHPjd0tPTcfHFF6OkpASzZ8+O2+e14KusrPS0\nfVGU4k+rMXny5LjPXo8xj9S5ACn/9p9I+bf/RKC7v0OJ+W3s2gtG3xANGjQo9rdeeDIS1e4SDBV4\n3QXCBuixxGb45C1GSU+nVfPtgVaH3CGGDh2KoUOHJmz3WrR06tTJ0/ZFCQaDaGsT813s3bs3fv/7\n38c+ez3GSY2LxgESg+pMmDABX375JU6cOIFZs2ZplhU9Twh7oGQv7QMyg9pMXl4eBg4ciGAwiEmT\njIe/CofDmDhxIrp06eJZ9i0i+SDBJ4aR9Lb0lsg+2O4drrV1/vnnx/4mI0U8aWlpmD9/Pm666SYU\nFRV53R1CRjhrGCTpjFEuPbZ4kUg2yFLtANOmTcOUKVMMpyiPMnz4cAwfPlx1f0VFRSyVe48eyZ3C\nt71S5rLl1gtRXVxcjK+++goAUF6eHIkXBg8ejE8//RQHDhzAjBkzNMtSiDH7YLu2u9ZWp06dcMkl\nl2DLli0YOdKezJbtDZrL/kMKhJFdeD0YO4lAMDGjK5EckKh2CLOCWoTLL78cK1euBGMMw4YNc6wd\nwhiz+vXDb9avBwBcX1vrcW+cZ9asWfjwww/RrVs3dOnSxevuCBEMBvGtb31LaJU7L6qNxpwnvKOm\npgY1Ne0zNnY4HMapU6e87gbhAFIgBRKSPHxmB4dEdRIiSRKJaR/yk4YGBAMB5Kal4db6elfb9sLy\nlJ+fj2nTprnerlVEV7nzoppcCQg/QFZmgvAvJKoJwiaKs7Lwko5LAQD0dcCqSzda++HH9OTJkyol\nCYIgCIIWKhKE6zw4dqzXXSAE4K3ZFDOe8AP0AE0Q/oVENUG4TGVhoS319O/fP/Z3XV2dLXUS5+Dd\nP9LS0jzqSfIR+u73vO5Cu4VENUH4F3L/IAiX6WOT+8fFF1+MjIwM5ObmoqKiwpY6iXjGjx+PDz/8\nEEOHDkVKCi0gEkXKzI7/3LufRz0hzNKtWzevu0AQSQeJaoJIUjIzM9HQ0OB1N9o1I0eOxIgRI8g6\naBGpe5nXXWg3uDUXKU47QRiHzhqCIAgNSFCbIzBs9Jk/QikI1CZmASXMQfORIPwLWaoJgiAI2wmM\na4BUch6k4m6Q0jO87g5hEBLvBGEcslQTBEEQtiOlpCIwoA5SYbHXXWlXOCl25RFuSktLHWuHINor\nJKoJgiAIIklwUlTPnj0bXbp0Qc+ePSnFO0GYgNw/CIIgCCJJiEQijtVdVFSEhQsXOlY/QbR3yFJN\nEC7SmVJdEwRhgaNHj3rdBYIgVCBRTRAOk5WaGvt75fz5HvaEIAiCIAinIPcPgnCYdTfeiJ9+/DEu\nLC1FL0p1TRAEQRDtEhLVBOEwpXl5ePyii7zuBkEQBEEQDkLuHwRBEARBEARhERLVBEEQBEEQBGER\nEtUEQRAEQRAEYRES1QRBEASRhAQCdAsnCD9BZyRBEARBJAmzZs1S/JsgCO+RGGPM604QBEEQBKFP\nJBLBhg0bEAgE0KdPH0fTlhMEYQwS1QRBEARBEARhEXL/IAiCIAiCIAiLkKgmCIIgCIIgCIuQqCYI\ngiAIgiAIi5CoJgiCIAiCIAiLkKgmCIIgCIIgCIuQqCYIgiAIgiAIi5CoJgiCIAiCIAiLkKgmCIIg\nCIIgCIuQqCYIgiAIgiAIi5CoJgiCIAiCIAiLkKgmCIIgCIIgCIuQqCYIgiAIgiAIi5CoJgiCIAiC\nIAiLkKgmCIIgCIIgCIuQqCYIgiAIgiAIi5CoJgiCIAiCIAiLkKgmCIIgCIIgCIuQqCYIgiAIgiAI\ni5CoJgiCIAiCIAiLkKgmCIIgCIIgCIuQqCYIgiAIgiAIi5CoJgiCIAiCIAiLkKgmCIIgCIIgCIuQ\nqCYIgiAIgiAIi5CoNkFzczPuu+8+DB48GCNGjMAvf/lLr7uUdLz55puoqKiI+/ftb38bALBr1y7M\nmzcPNTU1aGhowAcffOBxb/1Lc3MzGhsb8dFHH8W2ff3111i8eDFqa2sxbtw4/O53v4s7ZuPGjbj8\n8stRXV2N6dOn49NPP3W7275GaUyXLVuWMF+XLl0a209jmsj27dtxww03YPDgwRg9ejQeeeQRnD59\nGoD+Ob5ixQpMnToV1dXVmDt3LrZt2+bFV/AdWmN6//33J8zR5557LnYsjWkiW7ZswXXXXYeBAwdi\n7NixePrpp2P7aI6aQ2tMO8QcZYRhHnzwQdbY2MjWrVvH3n33XTZw4ED25ptvet2tpOIHP/gBW7hw\nIdu7d2/s3+HDh1kkEmHTpk1jt956K9u0aRNbtmwZGzBgANu+fbvXXfYdp06dYgsXLmS9e/dmf/vb\n32LbFyxYwObOncs2btzIfvOb37D+/fuz1atXM8YYO378OBsxYgRbunQp27x5M3vooYfYsGHD2NGj\nR736Gr5CbUxvu+029uCDD8bN1+iY0Zgmcvr0adbQ0MBuuukmtnnzZrZy5Uo2fvx49vDDD+ue47t3\n72Y1NTXsqaeeYps2bWK33HILmzx5Mmtra/P4W3mL1pgyxtgVV1zBnn766bg5euLECcYYjakSzc3N\nbOzYsWzJkiVs69at7L333mMDBw5kr7/+Os1Rk2iNKWMdY46SqDbI8ePHWVVVVdwN92c/+xm74oor\nPOxV8rFw4UL2k5/8JGH7Rx99xKqqquIEybXXXst+8IMfuNk937Np0yY2bdo0NnXq1DgBuG3bNta7\nd2+2devWWNm7776b3XbbbYwxxn7zm9+wCy+8MHahikQibOLEieyVV15x/0v4DLUxZYyxSy+9lP32\nt79VPI7GNJFVq1axyspKduzYsdi25cuXs+HDh+ue4z/60Y/irqcnTpxgAwcOjPs9OiJaY8oYY0OG\nDGErVqxQPJbGNJEdO3awm2++mZ08eTK2beHChezee++lOWoSrTFlrGPMUXL/MMjGjRvR3NyMurq6\n2La6ujqsW7cObW1tHvYsudi8eTN69uyZsL2pqQn9+vVDVlZWbFtdXR0++eQTN7vnez7++GMMHToU\nL7/8ctz2pqYmFBQUoEePHrFt8vFrampCbW0tAoEzp74kSaitrcXatWvd67xPURvTSCSCL774QnG+\nAjSmSpSVleGpp55CZmZmbJskSThy5IjuOd7U1ITBgwfH9qWnp6OysrJDjyegPab79u3D119/rTlH\naUzjOe+88/CjH/0I4XAYjDGsXr0aq1atQn19Pc1Rk2iNaUeZoySqDbJv3z7k5uYiLS0ttq1Lly5o\naWnBgQMHPOxZ8tDc3IwdO3bg/fffx8SJEzFhwgQ8/vjjaG5uxr59+1BYWBhXvnPnzvjqq6886q0/\nmTNnDu6++26kp6fHbdcbP7X9e/bscbbDSYDamO7atQsnT57EK6+8grFjx6KhoQFPP/00IpEIABpT\nJfLz8zF8+PDY50gkghdeeAHDhw+nOWoSrTHdvHkzQqEQfvzjH2PUqFGYNm0a/ud//idWlsZUm9Gj\nR2POnDkYOHAgJk2aRHPUBvgx7ShzNOR1B5KNkydPIjU1NW5b9HNzc7MXXUo6tm3bhtbWVmRkZOCJ\nJ57A9u3bsXTpUhw/fhynT59GSkpKXPnU1FS0tLR41NvkQm1+trS0gDGmup/mrjpbtmwBABQVFeEX\nv/gF1q9fH1ukOH/+fBpTAR5++GFs2LABr776Kp599lnNc5zGUwz5mH788ccAgD59+mDu3Ln4+OOP\ncf/99yM9PR0NDQ00pjo8+eST2Lt3L773ve/h4YcfxsmTJ2mOWoQf06iFur3PURLVBklLS0v4kaOf\neQsXoUx5eTlWrFiBTp06AThzkjHGcNttt2HWrFk4duxYXPnm5maEw2Evupp0qM3PcDgMSZI09xPK\nXHjhhXHztaKiAocOHcKLL76I+fPn05hqwBjD0qVL8dJLL+HHP/4xysvLkZaWpnmOq41nXl6ea/32\nM0pjesEFF2DKlCmxMerTpw+2bduGl156CQ0NDTSmOlRVVQEATp06hTvvvBMzZsygOWoRfkzXrFnT\nIeYouX8YpKioCEeOHIn78fft24fU1FTk5uZ62LPkIipQovTq1QstLS0oLCzEvn374vbt378fBQUF\nbnYvaSkqKsL+/fvjtsnHr6ioiMbXBErzde/evQBoTNWIRCK4++678d///d/44bxT8YwAAAkNSURB\nVA9/iAkTJgDQHy8aT3XUxlSSpATxUVZWFnt1TmOayJ49e/CnP/0pblv0PlRQUEBz1ARaY3rs2LEO\nMUdJVBukb9++SElJiXOeX716NSorKxEKkeFfhHfeeQfDhw+PezBZv349cnJyUFNTg40bN+LEiROx\nfatXr0ZNTY0XXU06ampqsGfPHuzcuTO2bfXq1aiurgYAVFdXY+3atWCMAThj9VqzZg2Nrwa/+tWv\nMHXq1Lht69evj73OpDFV5pFHHsEbb7yBJ554AhdddFFse3V1teY5Xl1djTVr1sT2nTx5EuvXr+/w\n4wmoj+kjjzyCBQsWxJXdsGEDysrKANCYKrFlyxbcdNNNcWuh/vnPfyI/Px91dXU0R02gNaZPPfVU\nx5ijXoUdSWbuu+8+1tDQwJqamtgf//hHVltby9566y2vu5U0HDx4kA0bNozdeeed7PPPP2fvv/8+\nGzFiBPv5z3/OWltb2eTJk9lNN93E/vWvf7Fly5ax6upqtmPHDq+77Vv48G/z5s1jc+bMYRs2bGCv\nvvoq69+/P1uzZg1jjLGjR4+yYcOGsQceeIBt2rSJLV26lNXX13fomMpKyMd0y5YtrKqqij3++ONs\n69atbPny5WzgwIFs+fLljDEaUyXWrl3LevfuzZYtWxYXk3bv3r265/iOHTtYVVUVe/LJJ9mmTZvY\nrbfeyqZMmZJ08WrtRmtMV6xYwfr06cN+9atfsW3btrHnn3+eVVZWslWrVjHGaEyVaG5uZo2NjWz+\n/Pls8+bN7L333mP19fXsueeeozlqEq0x7ShzlES1CU6cOMHuuOMOVlNTw0aMGMGeeeYZr7uUdPzz\nn/9kV199NaupqWEjR45kTzzxBItEIowxxrZu3cquuuoq1r9/fzZ58mT217/+1ePe+hteVO/fv58t\nWLCAVVVVsbFjx7LXXnstrnxTUxO79NJLWf/+/dmMGTPYunXr3O6y7+HH9KOPPmLTp09nAwYMYOPG\njWMvvvhiXHka03geeeQR1rt3b8V/LS0tuuf4n//8ZzZp0iQ2YMAANnfuXLZt2zaPvol/0BvTt956\ni02ZMoX179+fNTQ0sLfffjvueBrTRHbv3s0WLFjABg4cyEaOHMl+8YtfCN+HaDyV0RrTjjBHJcbO\nvrMkCIIgCIIgCMIU5FNNEARBEARBEBYhUU0QBEEQBEEQFiFRTRAEQRAEQRAWIVFNEARBEARBEBYh\nUU0QBEEQBEEQFiFRTRAEQRAEQRAWIVFNEAThMUuWLEFFRYXmvyeeeAI7d+5ERUUF/vCHP3jW10cf\nfRRPPPGEUNkXXngBd911l8M9IgiC8AcUp5ogCMJjtm/fjoMHD8Y+33nnnejRowe+/e1vx7YVFxcj\nPz8f69evR2lpKfLy8lzv56effoqFCxfi7bffRkZGhm751tZWTJkyBffddx9GjhzpQg8JgiC8I+R1\nBwiCIDo63bt3R/fu3WOfw+Ew8vPzUVNTk1BWaZtbPP7445gzZ46QoAaAUCiEa6+9Ft///vdJVBME\n0e4h9w+CIIgkgXf/WLJkCRYvXoxnnnkGo0ePRk1NDRYvXoxjx47hpz/9KYYPH46hQ4fioYceQiQS\nidVz4MAB3HHHHRgyZAgGDhyIG264ATt27NBse/369Vi5ciWmTJkS23bixAncc889GDlyJAYMGIDL\nLrsM77zzTtxxF198MTZt2oS//e1vNo4EQRCE/yBLNUEQRBLz4YcfYu/evXjwwQexc+dOPPTQQ/js\ns8/QvXt3PProo/j444/x1FNPoaamBo2NjTh16hSuueYanDp1Cvfeey/S09OxbNkyXH311Vi+fDly\nc3MV23nzzTdRUVERZ1FfunQpVqxYgXvuuQedOnXCq6++iptvvhlvvvkmevXqBQDIz89HXV0d3nrr\nLYwYMcKVMSEIgvACEtUEQRBJzIkTJ/CTn/wEhYWFAIDly5dj8+bN+O1vf4usrCyMGjUKy5cvR1NT\nExobG/Haa6/hiy++wBtvvBETvvX19Rg7diyef/55LFq0SLGdlStXorKyMm7b6tWrMWLECDQ0NAAA\namtr0aVLF7S2tsaVq6ysxLvvvmv3VycIgvAV5P5BEASRxJSUlMQENQB07twZPXv2RFZWVmxbXl4e\njh49CuCMOO7Rowd69OiB1tZWtLa2IhwOo66uDitWrFBtZ9euXSguLo7bNmjQILzyyiu44YYb8PLL\nL+PQoUOxSCZyunbtii+//BK0Lp4giPYMWaoJgiCSmMzMzIRt6enpquW//vprfP755wlWZwAoLS1V\nPe7YsWMJ9d57770oLCzE66+/jvfffx+BQABjxozBf/zHfyA/Pz+uP21tbTh+/Hic2CcIgmhPkKgm\nCILoQGRnZ6NPnz546KGHEvalpqaqHie3dkcJh8NYvHgxFi9ejM8//xxvv/02nnzySfz4xz/GAw88\nECt3+PBhpKSkkKAmCKJdQ+4fBEEQHYja2lrs3LkT3bp1Q1VVFaqqqtC/f38899xz+POf/6x6XHFx\nMb766qvY57a2NjQ2NuK5554DAJSVleHGG29ETU0Nvvzyy7hj9+zZg5KSEie+DkEQhG8gSzVBEEQH\nYubMmXj++ecxb948XH/99cjLy8PLL7+Md955B9OmTVM9rr6+Pi6TYzAYxIABA/Czn/0MaWlpKCsr\nQ1NTE1avXh1npQaATz75BMOHD3fsOxEEQfgBEtUEQRAdiKysLLz44ot47LHH8L3vfQ/Nzc0oLy/H\nk08+iTFjxqgeN3HiRDz11FPYvn17LKzevffei4yMDPziF7/AgQMH0K1bN9x5552YNWtW7LiDBw9i\nw4YNuOWWWxz/bgRBEF5CacoJgiAIIebOnYva2lrceuutwsc8++yzeP311/Haa6852DOCIAjvIZ9q\ngiAIQohbbrkFr776Ko4dOyZUvrm5GS+88IIhEU4QBJGskKgmCIIghKirq8OUKVPwzDPPCJV/6aWX\nUFdXp+lWQhAE0V4g9w+CIAiCIAiCsAhZqgmCIAiCIAjCIiSqCYIgCIIgCMIiJKoJgiAIgiAIwiIk\nqgmCIAiCIAjCIiSqCYIgCIIgCMIiJKoJgiAIgiAIwiL/Hx1Rlo567ptiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotting segmented QoM (norm) with color-coded stimuli for one participant\n",
    "\n",
    "fig8, ax8 = plt.subplots(1)\n",
    "fig8.set_figheight(8)\n",
    "fig8.set_figwidth(12)\n",
    "ax8.set_facecolor(\"white\")\n",
    "for i in range(0,4,1):\n",
    "  ax8.plot(QoM_smooth_segmented_sil[2][i][2], 'gray', lw=3, label='_nolegend_') #plotting silence segments\n",
    "\n",
    "ax8.plot(QoM_smooth_segmented_sort_mus[2][1][2], 'salmon', lw=3, label='_nolegend_') #plotting stimuli\n",
    "ax8.plot(QoM_smooth_segmented_sort_mus[2][2][2], 'khaki', lw=3, label='_nolegend_') #plotting stimuli\n",
    "ax8.plot(QoM_smooth_segmented_sort_mus[2][3][2], 'teal', lw=3, label='_nolegend_') #plotting stimuli\n",
    "\n",
    "\n",
    "plt.plot([], label=\"Silence\", color='gray')\n",
    "\n",
    "plt.plot([], label=\"Telespringar\", color='salmon')\n",
    "plt.plot([], label=\"EDM\", color='khaki')\n",
    "plt.plot([], label=\"Indian\", color='teal')\n",
    "\n",
    "plt.tick_params(axis='both', which='major', labelsize=14)\n",
    "plt.xlabel('Time (s)', fontsize=16);\n",
    "plt.ylabel('QoM (mm/s)', fontsize=16);\n",
    "plt.title('Segmented 3D QoM (participant 2_2)', fontsize=16)\n",
    "plt.legend(loc='upper right', fontsize=14)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "W77Tlg-cADvB"
   },
   "source": [
    "## Visualizing the stimuli"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 727
    },
    "colab_type": "code",
    "collapsed": true,
    "id": "lWjZKn2HACMJ",
    "outputId": "b459f3c2-7a03-40b7-aa1e-6e9536e04edd"
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'librosa' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-116-9aa5dedf9783>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m#Plotting segmented QoM (norm) with color-coded stimuli for one participant AND stimuli waveforms\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0my1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msr1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlibrosa\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'drive/My Drive/UiO RITMO/2019 NM/DRUMS90bpm.wav'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0my2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msr2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlibrosa\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'drive/My Drive/UiO RITMO/2019 NM/DRUMS120bpm.wav'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0my3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msr3\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlibrosa\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'drive/My Drive/UiO RITMO/2019 NM/DRUMS140bpm.wav'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'librosa' is not defined"
     ]
    }
   ],
   "source": [
    "#Plotting segmented QoM (norm) with color-coded stimuli for one participant AND stimuli waveforms\n",
    "\n",
    "#Loading stimuli files with librosa\n",
    "\n",
    "y1, sr1 = librosa.load('path_tele')\n",
    "y2, sr2 = librosa.load('path_edm')\n",
    "y3, sr3 = librosa.load('path_indian')\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(16,12))\n",
    "grid = plt.GridSpec(20, 7, wspace=0.5, hspace=0.5)\n",
    "\n",
    "\n",
    "plt.subplot(grid[12:19,0:2])\n",
    "librosa.display.waveplot(y1, sr=sr1, color='salmon')\n",
    "plt.xlabel('Time (s)', fontsize=16);\n",
    "plt.xticks(fontsize=14);\n",
    "plt.yticks(fontsize=14);\n",
    "plt.ylim((-1,1))\n",
    "\n",
    "\n",
    "plt.subplot(grid[12:19,2:4])\n",
    "librosa.display.waveplot(y2, sr=sr2, color='khaki')\n",
    "plt.xlabel('Time (s)', fontsize=16);\n",
    "plt.xticks(fontsize=14);\n",
    "plt.yticks(fontsize=14);\n",
    "plt.ylim((-1,1))\n",
    "\n",
    "\n",
    "plt.subplot(grid[12:19,4:6])\n",
    "librosa.display.waveplot(y3, sr=sr3, color='teal')\n",
    "plt.xlabel('Time (s)', fontsize=16);\n",
    "plt.xticks(fontsize=14);\n",
    "plt.yticks(fontsize=14);\n",
    "plt.ylim((-1,1))\n",
    "\n",
    "\n",
    "ax8 = plt.subplot(grid[0:10,0:6])\n",
    "\n",
    "for i in range(0,4,1):\n",
    "  ax8.plot(QoM_smooth_segmented_sil[5][i][2], 'gray', lw=3, label='_nolegend_') #plotting silences - group 5_participant 2\n",
    "\n",
    "ax8.plot(QoM_smooth_segmented_sort_mus[5][1][2], 'salmon', lw=3, label='_nolegend_') #plotting stimuli\n",
    "ax8.plot(QoM_smooth_segmented_sort_mus[5][2][2], 'khaki', lw=3, label='_nolegend_') #plotting stimuli\n",
    "ax8.plot(QoM_smooth_segmented_sort_mus[5][3][2], 'teal', lw=3, label='_nolegend_') #plotting stimuli\n",
    "\n",
    "\n",
    "plt.plot([], label=\"Silence\", color='gray')\n",
    "\n",
    "plt.plot([], label=\"Telespringar\", color='salmon')\n",
    "plt.plot([], label=\"EDM\", color='khaki')\n",
    "plt.plot([], label=\"Indian\", color='teal')\n",
    "\n",
    "\n",
    "plt.tick_params(axis='both', which='major', labelsize=14)\n",
    "plt.xlabel('Time (s)', fontsize=16);\n",
    "plt.ylabel('QoM (mm/s)', fontsize=16);\n",
    "plt.xticks(fontsize=14);\n",
    "plt.yticks(fontsize=14);\n",
    "\n",
    "plt.title('Segmented QoM (participant 5_2)', fontsize=16)\n",
    "#plt.legend(bbox_to_anchor=(1.05, 1.0), loc='upper left', fontsize=16)\n",
    "plt.legend(loc='upper left', fontsize=14, ncol=2)\n",
    "plt.tight_layout()\n",
    "fig.savefig(\"segmentsqom_stimuli.pdf\", bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 585
    },
    "colab_type": "code",
    "collapsed": true,
    "id": "mWEnzNAW6piL",
    "outputId": "f1f1e5af-a54f-477a-d612-3f28ea991408"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Generating spectrograms for all stimuli\n",
    "\n",
    "D1 = librosa.amplitude_to_db(np.abs(librosa.stft(y1)), ref=np.max)\n",
    "D2 = librosa.amplitude_to_db(np.abs(librosa.stft(y2)), ref=np.max)\n",
    "D3 = librosa.amplitude_to_db(np.abs(librosa.stft(y3)), ref=np.max)\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,8))\n",
    "\n",
    "plt.subplot(3, 1, 1)\n",
    "librosa.display.specshow(D1, y_axis='log')\n",
    "plt.colorbar(format='%+2.0f dB')\n",
    "plt.title('Telespringar')\n",
    "\n",
    "plt.subplot(3, 1, 2)\n",
    "librosa.display.specshow(D2, y_axis='log')\n",
    "plt.colorbar(format='%+2.0f dB')\n",
    "plt.title('EDM')\n",
    "\n",
    "plt.subplot(3, 1, 3)\n",
    "librosa.display.specshow(D3, x_axis='time', y_axis='log')\n",
    "plt.colorbar(format='%+2.0f dB')\n",
    "plt.title('Indian')\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "fig.savefig(\"spectrograms_stimuli.pdf\", bbox_inches='tight')\n"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "NM19_2",
   "provenance": [],
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