plottingLibraries.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ac05b6de-e7f4-4632-9c0c-2f2b53f2d7a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import numpy.random as rnd\n",
    "rnd.seed()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d68a8af-e014-42f3-9642-0611703c4492",
   "metadata": {},
   "source": [
    "## Different plotting libraries\n",
    "In this notebook, we'll look through several different python plotting libraries. In particular, we'll look at:\n",
    "- matplotlib | <https://matplotlib.org>\n",
    "- seaborn | <https://seaborn.pydata.org>\n",
    "- bokeh | <https://bokeh.org>\n",
    "- plotly | <https://plotly.com/python/>\n",
    "\n",
    "Where the later, holoviews, is not a library which does the plotting itself, but provides a very high level, but sometimes convienent, interface to multiple libraries.\n",
    "\n",
    "To get started make sure you download the above packages. Preferably, this can be done in anaconda. If you wish, you can create a new environment called, which will be detailed here:\n",
    "\n",
    "```bash\n",
    "conda create -n scivis python=3.9\n",
    "conda activate scivis\n",
    "conda install numpy pandas matplotlib seaborn bokeh\n",
    "conda install -c plotly plotly=5.7.0\n",
    "conda install -c conda-forge cmocean\n",
    "conda install \"jupyterlab>=3\" \"ipywidgets>=7.6\"\n",
    "conda install -c conda-forge -c plotly jupyter-dash\n",
    "\n",
    "```\n",
    "then, launch your JupyterLab with\n",
    "```bash\n",
    "jupyter-lab\n",
    "```\n",
    "\n",
    "Let's first remake the data from the scatter plots notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0a7f79a6-02d3-4b11-9489-087355dff22a",
   "metadata": {},
   "outputs": [],
   "source": [
    "Nsets = 12\n",
    "Nsmallest = 5\n",
    "Nbiggest = 100\n",
    "min_bounds = rnd.uniform(0, 2, Nsets)\n",
    "max_bounds = rnd.uniform(2, 6, Nsets)\n",
    "ndat_sets  = rnd.randint(Nsmallest, Nbiggest, Nsets)\n",
    "sigma = rnd.uniform(0.3, 0.9, Nsets)\n",
    "offsets = rnd.uniform(0.1, 0.3, Nsets)\n",
    "\n",
    "deviat = [rnd.normal(0, sigma[i], ndat_sets[i]) for i in range(Nsets)]\n",
    "x = [rnd.uniform(min_bounds[i], max_bounds[i], ndat_sets[i]) for i in range(Nsets)]\n",
    "y = [2.2*x[i] + 1.1 + deviat[i] + offsets[i] for i in range(Nsets)]\n",
    "ID = [(i+1)*np.ones(ndat_sets[i]) for i in range(Nsets)]\n",
    "labels = [\"Data %d\"%(i+1) for i in range(Nsets)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f8c42df0-4ab1-47cf-9500-83f7fcbe6a5e",
   "metadata": {},
   "outputs": [],
   "source": [
    "x1D = np.hstack(np.array(x, dtype=object))\n",
    "y1D = np.hstack(np.array(y, dtype=object))\n",
    "ID1D = np.hstack(np.array(ID, dtype=object))\n",
    "datMat = {'x':x1D, 'y':y1D, 'SrcID':ID1D.astype(int).astype(str)}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57a3d5e1-23f6-489a-b09b-70c0d74d72dc",
   "metadata": {},
   "source": [
    "Most of these libraries directly work (or work best with) pandas dataframes. If you're not familar with these, you can look them up here: <https://pandas.pydata.org>. Pandas dataframes are becoming more common and enable a lot of reduction and cleaning methods, searching functions, etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c12819f2-dd47-45c7-9b80-9f7bf6831075",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "76481477-02bb-4ba3-ab3e-057353143f41",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(datMat, columns=[\"x\", \"y\", \"SrcID\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6b631c3e-028f-4266-9309-b47fa1cdad1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\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>SrcID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3.891363</td>\n",
       "      <td>10.816092</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.262151</td>\n",
       "      <td>11.062942</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.631090</td>\n",
       "      <td>4.232717</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.984949</td>\n",
       "      <td>5.265821</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.952389</td>\n",
       "      <td>7.245629</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          x          y SrcID\n",
       "0  3.891363  10.816092     1\n",
       "1  4.262151  11.062942     1\n",
       "2  1.631090   4.232717     1\n",
       "3  1.984949   5.265821     1\n",
       "4  2.952389   7.245629     1"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fabbfef-16aa-4dd7-aa72-3f002f03bbfe",
   "metadata": {},
   "source": [
    "### Matplotlib\n",
    "This is the library most are familiar with. It's fairly low level, and enables a lot of control. However, it also means that making good looking, but complex, plots can sometimes take a lot of effort. But, it is widely used - so the saving grace is that MOST problems can be found on stackoverflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cfcce326-bd25-4a54-bd3d-5abe58649cfd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c0ea5306-1f1c-482a-98c5-18a0526d2094",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAt4AAAIyCAYAAAD8Es2mAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAAD3sUlEQVR4nOzdeXxTVfo/8M+92ZpuadOFttAFCgWVbVBUZBFQwAVckNFxAxyVwd1hXBAdAVHBHUVnVIQRHPmOW50B/YmyOQIyshQEZBGB0kKT7k3aNPs9vz/S3DZbm7ZJbto+79erL2iae++592lun5yc8xyOMcZACCGEEEIICSte6gYQQgghhBDSE1DiTQghhBBCSARQ4k0IIYQQQkgEUOJNCCGEEEJIBFDiTQghhBBCSARQ4k0IIYQQQkgEUOJNCCGEEEJIBFDiTQghhBBCSARQ4h1CjDEYjUbQmkSEEEIIIcSbXOoGdCf19fXQaDQwGAxITEyUujloaGiAIAjgeR7x8fFSN6dHohhIj2IgLbr+0qMYSIuuv/SiKQaUeHdjDQ0NcDqdkMlkkv+i9VQUA+lRDKRF1196FANp0fWXXjTFgIaaEEIIIYQQEgGUeBNCCCGEEBIBlHgTQgghhBASAZR4E0IIIYQQEgEco9p3IWM0GiWpaiIIAmw2m8/jTqdT/L9MJotYe0gzioH0KAbSousvve4SA4VC0SXb312uf1cWTTGgqiZdnM1mw+nTpyEIgtRNIYQQQsIqKSkJGRkZ4DhO6qYETepEj0RXDCjx7sIYY9DpdJDJZMjOzgbP08ghQggh3Q9jDI2NjaioqAAAZGZmStwiQjqGEu8uzOFwoLGxEVlZWYiNjZW6OYQQQkjYqNVqAEBFRQXS09OjqheTkGBR4t2FuccsKZXKVn8ORNfHLD0JxUB6FANp0fWXXneKgbuTyW63d5lzMZlMYIyB4zjExcVJ3ZweKZpiQIl3NxBorJsgCOIvWle5QXU3FAPpUQykRddfet0pBl1pbLdbfX29uGqi1ElfTxVNMaBBwYQQQgghhEQAJd6EEEIIIYREACXeJOJmz54NjuPAcRwUCgV69eqFSZMmYfXq1e0ui/jhhx8iKSkpJO0qLCzE5MmTkZKSAo7jcODAgZDstzuK1hi2NHfuXHAch7feeivk++4uojWO7jZ5f73yyish2X93Eq0xDOZ+arFY8MADDyAlJQXx8fG46aabUF5eHpLjExKtKPEmkrjqqqug0+lQXFyMb775BhMmTMAjjzyCqVOnwuFwSNImk8mEMWPG4KWXXpLk+F1NNMbQ7csvv8T//vc/ZGVlSdqOriAa46jT6Ty+Vq9eDY7jcNNNN0nSnmgXjTEM5n765z//GRs2bMBnn32G//73vygrK8P06dMj2EpCJMBIyBgMBgaAGQyGiBzPbDazI0eOMLPZ7PfnNpuNWa1WZrPZ2txXWV0j2/lbJSurawx1M33MmjWLXX/99T6Pb9myhQFgK1euFB977bXX2ODBg1lsbCzr06cPu++++1h9fT1jjLFt27YxAB5fCxcuZIwxtnbtWnbhhRey+Ph41qtXL3brrbey8vLyoNp3+vRpBoDt37+/s6farhh0+lg6HWvY9T9m0+nCfqxojuHZs2dZ79692eHDh1lubi579dVXIxaDULDXWZj5t1pmr7OE/ViRiOPq1avZiBEjOvRadLv++uvZxIkTO3yekXbObGXba4zsnNka9mMFE0P3fejll1+OmvtpXV0dUygU7LPPPhMfO3r0KAPAdu3aFXB/bf3di0Y6nY6dPXuW6SJwbyb+RVMMqMeb4JM9JRi9bCtuW/kTRi/bik/2lEjSjokTJ2LYsGEoLCwUH+N5Hm+99RZ++eUXrFmzBlu3bsUTTzwBALjsssuwfPlyJCYmij1jjz32GABXqaklS5bg559/xr///W8UFxdj9uzZUpxWRNR9/jl+m3gFSmbPxm8Tr0Dd559L0g6pYygIAu688048/vjjuOCCC8J2nuFi2qOHftluVK08BP2y3TDt0UvSjlDG0eFwYOHChdi7d2+HXovl5eX4+uuvcffdd4f0HMNlXVk1Ltp1BDMOnMRFu45gXVm1JO2Q+rXYln379sFut+PKK68UHxs0aBBycnKwa9euTu2bkGhG5QR7OJ3BjKcKD0Fgru8FBiwoPIxxBWnI1Kgj3p5Bgwbh4MGD4vePPvqo+P+8vDw8//zzmDt3Lv72t79BqVRCo9GA4zhkZGR47OePf/yj+P9+/frhrbfewsiRI9HQ0ID4+Piwn0ck2fV66J5dCLjHcwoCdM8uRNyYMVB4XZdIkDKGL730EuRyOR5++OHQnlQEOAxW1BaecPU1AgADagtPQFWQDLlGFfH2hCqOs2fPFkvZKRSKdr8W16xZg4SEhC4xBKHMYsNjx0vhHlktAHj8eCnGaxOQFeN/vYVw8o7hww8/DIVCAUD6+6ler4dSqfQZU96rVy/o9dK84SQRZDgH1JwEtPmAprfUrYko6vHu4U5XmcSk283JGIqrGiVpj/sPtNvmzZtxxRVXoHfv3khISMCdd96J6upqNDa23r59+/Zh2rRpyMnJQUJCAi6//HIAQEmJNL354WQrPtOcdLsJAmxnpDlXqWK4b98+vPnmm/jwww+7ZK1fR5W5Oel2Y02PSyBUcSwqKsKNN96I/Pz8Dr0WV69ejdtvvx0xMTEdP5kIOWW2wns6oxPAabNViub4xHDLli10PyXSK1oLLB8MrJnm+rdordQtiihKvLu5thKQvqlx4L2eIuM45KVKswT90aNH0bdvXwBAcXExpk6diqFDh+KLL77Avn378M477wAAbDZbwH2YTCZMmTIFiYmJ+Pjjj7Fnzx58+eWXbW4XLuFOApV5uQDv9VLmeShzc8J63ECkiuH27dtRUVGBnJwcyOVyyOVynDlzBk888QQKCgpCfJahJ09VA96/KlzT4xIIVRyvvfZaJCYmYs2aNe1+LW7fvh3Hjx/HPffcE4IzCr9+apXPH1UZgL7qyH9iAXjG8MyZM7jhhhui5n6akZEBm82Guro6j8fLy8t9ety7OrlcDoVCAbmcBhnAcA7Y8AjAmt6iMgHY8Kjr8TCKphhQ4t2NKRQK8SuQTI0aS6cPgawpOZRxHF6cPliSYSZbt27FoUOHxMoF+/btgyAIeO2113DppZeioKAAZWVlHtsolUqP5ZAB4NixY6iursayZcswduxYDBo0CBUVFRE7j5aCiUGnj5GRgcznFjcn3zyPzOcWSzLMRMoY3nnnnTh48CAOHDggfmVlZeHxxx/Ht99+G9YYhIJco0Ly9AHNyTcHJE8fIMkwk1DH8eWXX8aECRPa/VpctWoVLrzwQgwbNqzzJxUBWTFKvDowG+61IWUAXhmYLckwk5YxVCgUOHjwYFTdTy+88EIoFAps2bJFfOz48eMoKSnBqFGjOr3/aJKamor09HSkpqZK3RTp1ZxsTrrdmBOoORXWw0ZTDKRP/YnkbhmZg3EFaSiuakReamxEkm6r1Qq9Xg+n04ny8nJs3LgRS5cuxdSpUzFz5kwAQP/+/WG327FixQpMmzYNO3fuxLvvvuuxn7y8PDQ0NGDLli0YNmwYYmNjkZOTA6VSiRUrVmDu3Lk4fPgwlixZ0mabampqUFJSIv4xOn78OABXz0y098AkzZiBuDFjYDtTAmVuTkSS7miLYUpKClJSUjweUygUyMjIwMCBA0N78mESNzIDqoJkOKrMkKeqI5J0R1sc3YxGIz777DO89tprIT/ncLotKwXjtQk4bbair1oVkaQ7GmPY1v1Uo9Hg7rvvxrx586DVapGYmIiHHnoIo0aNwqWXXhriK0Q6y2Gwhua+pM0HON4z+eZkgLZf5xvZVUhaU6WbibZygtFq1qxZYrkquVzO0tLS2JVXXslWr17NnE6nx3Nff/11lpmZydRqNZsyZQpbu3YtA8Bqa2vF58ydO5elpKR4lL9at24dy8vLYyqVio0aNYqtX7++zRKB//jHP3zKabXcJ2kWrTH0lpuby954443On3A3Fc1xfO+995harWZ1dXUhPuvuJVpjGMz91Gw2s/vvv58lJyez2NhYduONN7ZZ7q2r/t3rqux1Flb71UlWOv8HVvrkD6x0/g+sYXcnS/LtW8PYomTGFia6/t23JjSN7SI4xpj3dB7SQUajERqNBgaDAYmJiWE/nsViwenTp9G3b98uMfGIEEII6Qz6uxc5pj161H5xwvcHHJAx/+LO9XwbzrmGl2j79biqJjTUpBtzOBzirPZomFDQE1EMpEcxkBZdf+lRDKRVU1MDQRDA8zy0Wq3UzQmKWN7Un6ZqS51KvDW9w59wtyhZWONUR00M6BXYjTHGQB9oSItiID2KgbTo+kuPYiAtm80Gp9MJmUzW9pOjhN/ypm4SVlsKWtHa5uopHA/ZuOdgLpgeFTGgqiaEEEIIIUTkt7wpIGm1paD5KVmY+MOz4BuiY2Em6vEmhBBCCCEe4sf0RsOOc2LPd/y43ogf3btdSXfIqqG0h5+ShRwTIDeWwBkF48kp8SaEEEIIIQCaJlUWnuhUwu2zn6ae8riRESjN66dkIeN4OBJz/HbiRxoNNSGEEEIIIc2TKluM727Y3v5VJX32w4DawhNwGKyhaWhrNL2BaW+66oMDACeDcdxzEOKjYz0O6vEmhBBCCCH+J1V2oIpJqPbTbu5KJvlXAI8eEksWms0ywGtVVqlQ4k0IIYQQQponVbZMmjtQxSRU+2kXr0ommPYmMMK1civM0TGxEqChJoQQQgghBIBco0Ly9AHNFU06WMUkVPsJmp9KJtjwqOvxKEOJN4m42bNng+M4cBwHhUKBXr16YdKkSVi9ejUEQWh7By18+OGHSEpK6nSb7HY7nnzySQwZMgRxcXHIysrCzJkzUVZW1ul9d0fRGEPvdrm/pk6dGpJ9d0fRGseGhgY8+OCD6NOnD9RqNc4//3y8++67Idl3dxOtMSwsLMTkyZORkpICjuNw4MABn+e8//77GD9+PBITE8FxHOrq6kJybNI5cSMzkDH/YqTeOwQZ8y/u8ITIUO0nKH4qmYA5XUNNogwl3t0Yz/PiV7S56qqroNPpUFxcjG+++QYTJkzAI488gqlTp8LhcES8PY2NjSgqKsJf//pXFBUVobCwEMePH8d1113Xqf1Gcww6K9pi6N0u99fHH3/cbWMQCuGOY0deA/PmzcPGjRvxz3/+E0ePHsWjjz6KBx98EOvXr+90e7qjtmIoxX3IZDJhzJgxeOmllwI+p7GxEVdddRUWLFgQsXZJITY2FvHx8YiNjZW6KUGTa1SIyU/y6aF2GKywnKwLepJkoP2EnLuSSUuczLUkPaIsBqyLO3bsGHvrrbfYrFmz2ODBg5lMJmMA2JIlS9q1n3feeYfBNRqJ3X333R1qi8FgYACYwWDo0PbtZTab2ZEjR5jZbO78zurOMnbqv65/w2zWrFns+uuv93l8y5YtDABbuXKl+Nhrr73GBg8ezGJjY1mfPn3Yfffdx+rr6xljjG3btk2Mmftr4cKFjDHG1q5dyy688EIWHx/PevXqxW699VZWXl7ernbu3r2bAWBnzpzp8LlGUn2NmZUeq2H1NSH4fWhDtMYwULu6krq6Onbq1ClWV1cX9mNFaxwvuOAC9txzz3k8NmLECPb000937oQjpKyuke38rZKV1TWG/VjRGkO306dPMwBs//79AZ/jPnZtbW2b+wvp3z3SLg27dax0/g+s9MkfWOn8H1jDbl3YjmWvszDzb7XMXmcJfqN9axhblMzYwkTXv/vWhK19ndHlu4D+/ve/4+GHH8aaNWtw+PBhODswa/XUqVN44oknwHHRUOFRAkVrgeWDgTXTXP8WrZWkGRMnTsSwYcNQWFgoPsbzPN566y388ssvWLNmDbZu3YonnngCAHDZZZdh+fLlSExMFHs3H3vsMQCuoSNLlizBzz//jH//+98oLi7G7Nmz29Ueg8EAjuNC9tFrOB3ZWYa1C37Ef97Yj7ULfsSRndIMkYmGGH7//fdIT0/HwIEDcd9996G6ujos5xoORUVFWL58OdasWYPly5ejqKhIknZIHcfLLrsM69evx7lz58AYw7Zt2/Drr79i8uTJYTvnUPlkTwlGL9uK21b+hNHLtuKTPSWStEPqGJLuJZLlAU179NAv242qlYegX7Ybpj1BTowcMdNVyWTWV65/3RMro0yXr2oyePBgPPbYY/jd736HESNG4MUXX8RHH30U9PaCIIhj5GbOnIk1a9aEsbVRKNCEhPwrXLUwI2zQoEE4ePCg+P2jjz4q/j8vLw/PP/885s6di7/97W9QKpXQaDTgOA4ZGZ5jx/74xz+K/+/Xrx/eeustjBw5Eg0NDYiPj2+zHRaLBU8++SRuvfVWJCYmdv7Ewqih1oLv/3kMrOmGyBjw/cfHkHO+FvHJMRFvj5QxvOqqqzB9+nT07dsXJ0+exIIFC3D11Vdj165dkMlkoT3REDMYDNiwYQNYUyAZY9iwYQPy8/Oh0Wgi3h4p47hixQrMmTMHffr0gVwuB8/zWLlyJcaNGxfakwwxncGMpwoPQWh6LQoMWFB4GOMK0pCpCWM1hwCi5X5Kur5IlQcMlOCrCpKDO46mtyS5S3t0+cT7nnvu8fi+vWPY3nzzTWzfvh3vvPMOKioqQtm0rqG1CQkS/PIyxjw+edi8eTOWLl2KY8eOwWg0wuFwwGKxoLGxsdWxWvv27cOiRYvw888/o7a2VpxkVFJSgvPPP7/VNtjtdtx8881gjOHvf/97aE4sjOoqzGLS7cYEwFBhliTxljKGf/jDH8T/DxkyBEOHDkV+fj6+//57XHHFFSE6w/CoqakRk243xhhqamokSbyljOOKFSvwv//9D+vXr0dubi5++OEHPPDAA8jKysKVV14Z2hMNodNVJjHpdnMyhuKqRkkS72i4n5LuIVLlASWr/x1BXX6oSWccP34cTz/9NC6//HLcd999Ujcn5Ox2O2w2G+x2e+AntTEhIdKOHj2Kvn37AgCKi4sxdepUDB06FF988QX27duHd955BwBgs9kC7sNkMmHKlClITEzExx9/jD179uDLL79sczugOek+c+YMNm3a1One7qBi0ElJ6Wp4j5LieECTHvk/9ID0MWypX79+SE1NxbFjx8Iag1DQarU+w904joNWq5WkPaGMY3x8PNasWRNUHM1mMxYsWIDXX38d06ZNw9ChQ/Hggw/illtuwauvvhriswytvqlx4L1eizKOQ16qNBO63DG02+349ddfJX0t9mR6vR7nzp2DXh89taTby195wPgxoe+cExP8lkKQ4EdTDHps4u10OjFr1ixwHIdVq1b13PHdfpZWxbTlkvR2b926FYcOHcJNN90EwNXLIggCXnvtNVx66aUoKCjwKe+nVCp9xvUfO3YM1dXVWLZsGcaOHYtBgwYF9WmGO+k+ceIENm/ejJSUlNCdXBjFJ8dg/B2DxPdPHA+Mv32QJL3dUsfQ29mzZ1FdXe3z0Xk00mg0mDZtmngv4jgO06ZNk6S3O9RxfP755zFmzJig4mi322G3230+vZTJZO0ujxdpmRo1lk4fAllTDGUchxenD5akt9s7hvv375f0tUi6Pnd5wPhxvQHmWkq+XWOwgxDx+t8S6PJDTTrqlVdewU8//YQ33ngD+fn5UjdHWiNmusZ0Ny2tGomk22q1Qq/Xw+l0ory8HBs3bsTSpUsxdepUzJzpmhDRv39/2O12rFixAtOmTcPOnTt9avnm5eWhoaEBW7ZswbBhwxAbG4ucnBwolUqsWLECc+fOxeHDh7FkyZJW22O32zFjxgwUFRXhq6++gtPpFN8Za7VaKJXK8FyIEDl/dBZyztfCUGGGJl0dkaQ72mLY0NCAxYsX46abbkJGRgZOnjyJJ554Avn5+V1iUh4AjBgxAvn5+aipqYFWq41I0h2JOP7tb3/DnDlzcPz48TbjmJiYiMsvvxyPP/441Go1cnNz8d///hdr167F66+/HrbrECq3jMzBuII0FFc1Ii81NiJJd1sxFAQB+fn5EXstAq6hUyUlJWJyf/z4cQBARkaG+EZYr9dDr9fjt99+AwAcOnQICQkJyMnJkeyTHtK2hu0tFqVp7xjsIMSNzICqINk1vCRV3a2SbgBdv5ygt1mzZrVZTvDQoUNMqVSyyy67jDmdTvHxhQsXtqucoMViYQaDQfwqLS0NSznB+vp6ptPpfL5KSkrYoUOHmNFoZDabjdntdo/tbDYba2xsZI2Njcxms7X65XA4PLYVBKHNbdxfLa8hY4w5nc5Wn3/nnXeK5arkcjlLS0tjV155JVu9ejWzWq0ez33llVdYZmYmU6vVbPLkyWz16tUMAKusrBSPN3fuXJaSksIAsGeeeYbZbDa2du1alpeXx1QqFbv00ktZYWEhA8B2797tc65Op5P9+uuvPqW03F+bNm0S2yMIgse2Doej1XN1X39/pa/sdntQ19e7ve7YhiM2Lb+8tTxXfzG84oor2MqVK5nVavXY7vXXX/cbw4qKCnF/c+bMEWPoLmG2bt26gDH0196GhgY2efJklpaWxhQKBcvNzWV33303O336dJuvg47Gxvs1F6nYtPf3MFB73fdLf3G0WCwe27766qtiHKdMmcLWrFnTahzdr8UPP/yQ5ebmMpVKxUaNGsXWr1/fahxtNhsrKSlhM2fOZFlZWSwmJoYNHDiQvfbaa0wQhIjExt89Ityx6ejvYaD7acsYun//X3rpJb+vxZZl/P70pz8FfT/1LhHY8lw/+OADv/fTZ555RoyN+2+u99cHH3wQ8HwbGho8ygk6HA6/fx/9fXlfY5PJFNR2/kon1tbWBrVtXV0d0+l07OzZs0ync5Xf0+v1QW3r/XfDarUGfa7e95dAeYT3V1VVlc+5VlVVsfIT+1n13i+Z7r97XOUEvb7O7T4plqZ0czqdrR6r7NcSdm73SVb2a4nP3w2z2RxUe/V6vU973de85deRI0fY4cOH2ZEjR8TH/JWvLC8vD+q4JpPJYzubzSbGty0cY97Tsrq22bNnY82aNViyZAmeeeYZn587HA5ccsklOHLkCA4cOICBAweKP1u0aBEWL16Mu+++Gx988EGbx3I/35vBYAhpJQyj0Yj6+nqfxx0OB4xGI3JzcxETEyOuXOZmt9vFBTDaquggk8k8nsMYC3pMrLvqgJsgCEEvvOHdk+xwOIL6OJnnecjlnh/Y2O12n8lp/nifa3vaq1AoPIYlOZ3OVktYOp1OcYKTWu3Z8xVse/2dqy3IsZVSxMb79xDoeGw683vojk3LGPh7Hfhrb2d+DyMRm/b+HrpJERun0yku3uI+Nt0jfHUmNm39Hrb2Guhq9wi73Y6SkhL07dsXMTExHp9OtiU9Pd3juCaTKajVMmUymc9wtZqaGpjN5ja3jY2NhdVqhdPpFPdTVlYW1LlqtVqPvxs2mw2VlZVtbgcAmZmZHnENlEd4UyqVSEtL83is/r/vIP77Z8AxAQ6kQW9ZDY+B2ByA2TlIzEz2yH0EQYBOp/N7HPaLEdhW5XqrxQEJ1/WFZlQf8edmsxk1NTVttpfjOGRlZXk8Vltbi8bGRo/H6urqIAgCeJ4XSwSr1WqfT1bcnxy1JSkpCXFxceL3drsdFRUV6N277REDPW6oyQsvvICioiK89NJLHkl3Rzz11FOYN2+e+L3RaER2dnZnm+iD53m/CYMgCD7LYwfSkTHsnRn33tW2DecxA8Um2GN2Zttg9xfsdsFsG+g5UsbG+99wHjeaf/ej5XepK24bzccMJq7teQ10tXtER0uFBnoz7s1ftbRAf5eD2VYmkwWVePu7Hh0917bay+rtYHV2cGkyoGXebTgnJt0AIEcl1LKtMDubq0RxgxIg06gCnqu/YzndSTcAMKB+/WnEnZ8mDivxFxuxjUkKcAkK8XnBnKu7bS1/FiiuwehMbHpc4u2ejb1hwwb8v//3/zx+VlxcDAD4+uuvMX78eACuxTgCUalUUKnCP/YoPj7eb61Ui8WChoYGKBQKn94DN5lM5rd3oS0d2catM0sTe/fatIcU7fXuGfOHeZX0cuuO5xpIR9vbmd/Dlu11xyDYffWk2HT0XNtzPb2TDLpHBCeU5xrsayDa7xHevZH+eqODFRsb2+ElxNuzsJp3z3ivXr06dEylUtnhcw2URwCuBWtqC4sBBlg4wDTdNc4aAFBzUky6AcDBUmB2TvDYnh2rR+oN50Ee75kP8Tzvt70WUx2q2igZGBMT47Ftyza6J1yKbfSi0Wj8zo9p+alDIOnp6QF/1hqFQhF0bHpc4u22Y8eOgD9zT/gghBBCCOmu2lywxl1yuCn5dghZ8CmI18462+2tCd7pRXWiTI8rJ3jgwAEwxvx+LVy4EABw9913i48RQgghhHRHrS1YA8Cn5LBcVg6fDdpZZ7u9JQPbbGMX02N7vAkhhBBCug3DOddq1Nr8oMsCB9X73KLksFzbD8m/ypp7oNtbZ7upjXEF+VDNvziokoGRWjUzUrp84l1UVIT7779f/P7kyZMAgPfeew9fffWV+PiXX36JzMzMiLdPSh0da0dCh2IgPYqBtOj6S49iIK3k5OSAc31CpmgtsOER15AQjnf1Uo+Y2eZm7t7nNhNpTW8xmY8biY7V2fZqo3zam5C3aKPDYPW7z6Db2IqIxCBIXT7xNhqN+Omnn3weP3v2LM6ePSt+b7VaI9msqNDRCTIkdCgG0qMYSIuuv/QoBtIKexEGw7nmhBZw/bvhUVcvdRA93x1ZsEauUbVvfHUbbXRNnjwRcPJkZxfViUQhjGB1+cR7/PjxIRuLvWjRIixatCgk+yKEEEIICbuak80JrRtzulajDnbISXsT6fZqpY0OpAY1eTLsbYwQehtMCCGEENJVuSuPtMTJAG0/adrjTytt7G6TJ9tCiXc3JgiC+EWkQTGQHsVAWnT9pUcxkJbVaoXFYgnfkNcWlUccLAUWYTgcV6wIurc7Iryqo4CTAdOWA5rezZMnWwrx5Mmwx6AdKPHuxpxOJxwOR1DLn0bS7NmzxRXOFAoFevXqhUmTJmH16tXt/sPw4Ycftmshg9YsWrQIgwYNQlxcHJKTk3HllVf6nT/QHtEag86K1hgCwNGjR3HddddBo9EgLi4OF198MU6dOtXtYhAKkYhjR14D5eXlmD17NrKyshAbG4urrroKJ06caFd7eopgYhhsDEL5WiwsLMTkyZORkpICjuNw4MABj5/X1NTgoYcewsCBA6FWq5GTk4OHH34YBoMhJMePJrW1taiurkZtbW3I9+0wWGE5WQdH/i0wTdgJvW0NqmzPQ/91Dkx7omw9khEzgUcPAbO+cv3bNLGyveUFOyKcMWgvSryJJK666irodDoUFxfjm2++wYQJE/DII49g6tSpcDgckrSpoKAAb7/9Ng4dOoQdO3YgLy8PkydPRmVlpSTtiXbRGMOTJ09izJgxGDRoEL7//nscPHgQCxYsQExMjCTt6QqiLY6MMdxwww04deoU/vOf/2D//v3Izc3FlVdeCZPJFPH2dAXRFkMAMJlMGDNmDF566SW/Py8rK0NZWRleffVVHD58GB9++CE2btyIu+++O8It7bpMe/TQL9uNqpWHoF+6G7X/r8pnnLTDIH0PrwdNb6DvWJ/e+LiRGciYfzFS7x2CjPkXB1yVsltgJGQMBgMDwAwGQ0SOZzab2ZEjR5jZbPb7c5vNxqxWK7PZbG3uS9egYz+V/cR0DbpQN9PHrFmz2PXXX+/z+JYtWxgAtnLlSvGx1157jQ0ePJjFxsayPn36sPvuu4/V19czxhjbtm0bg+s2I34tXLiQMcbY2rVr2YUXXsji4+NZr1692K233srKy8vb1U53PDdv3tzhc21PDDrLWFXJzhz6mRmrKsN+rGiN4S233MLuuOMOj8ciGYNQMJvLWHXNj8xsLgv7sSIRx9WrV7MRI0YEHcfjx48zAOzw4cPiY06nk6WlpXm0J6rVnWXs1H9d/4ZZMDF0vwZefvnliN9PT58+zQCw/fv3t/ncTz/9lCmVSma32wM+p62/e9FIp9Oxs2fPMp0udH9f7XUWVjr/B1b6ZOtf5t9qQ3bMoETgd99eZ2Hm32qZvc4S9DbhiEFHUY83QeGJQkz5Ygru/u5uTPliCgpPFErSjokTJ2LYsGEoLGw+Ps/zeOutt/DLL79gzZo12Lp1K5544gkAwGWXXYbly5cjMTEROp0OOp0Ojz32GADAbrdjyZIl+Pnnn/Hvf/8bxcXFmD17dtBtsdlseP/996HRaDBs2LCQnmc4HNr6HVY+cBc+W7IAKx+4C4e2fidJO6SMoSAI+Prrr1FQUIApU6YgPT0dl1xyCf7zn/+E9ZxDqazsU+z8cRz2778DO38ch7KyTyVpRyjj6HA4sHDhQuzduzeoOLrHYLb8lILneahUKuzYsSMMZxtiRWuB5YOBNdNc/xatlaQZ0XQ/DZbBYEBiYiLk8i5fcC3s/E5I9BbGRWbEIS4te9Qj8Lvv0cu/bHf0DacJAv1293B6kx6Ldy2G0FTmR2ACFu9ajMuyLkNGXOQ/6hk0aBAOHjwofv/oo4+K/8/Ly8Pzzz+PuXPn4m9/+xuUSiU0Gg04jkNGhmdb//jHP4r/79evH9566y2MHDkSDQ0NiI+PD3j8r776Cn/4wx/Q2NiIzMxMbNq0CampqaE7wTCor67CpvdXiGU1GWPYtPJt5A0bgYSUyLddqhhWVFSgoaEBy5Ytw/PPP4+XXnoJGzduxM0334zvvvsOl19+eehPNoQsFh2OHnsagHtstYCjx56GVjsWMTGRX/wrVHGcPXu2uHCFQqFoM46DBg1CTk4OnnrqKbz33nuIi4vDG2+8gbNnz0Kn04XtfEOik/WUQ807hg8//DAUCgWAyNxP26OqqgpLlizBnDlzQrK/7s7vao5A82NhGCft5rfmdoEz7L/7DoM1qLKD0Y56vHu4EmOJmHS7CUxAaX2pJO1hXitLbd68GVdccQV69+6NhIQE3HnnnaiurkZjY2Or+9m3bx+mTZuGnJwcJCQkiElXSUlJq9tNmDABBw4cwI8//oirrroKN998MyoqKjp/YmFUqyvzqWXPBAF1+jJJ2iNVDN0Tya6//nr8+c9/xvDhwzF//nxcc801WLlyZYjOLnwazcVoTrrdBJjNZyRoTejiWFRUhBtvvBH5+flBxVGhUKCwsBC//vortFotYmNjsW3bNlx99dXRvxBMa/WUJeAdwy1btkT0fhoso9GIa6+9Fueffz6tpREkvxMSbxoQ9nHSgZJfR0n4f/e7S9nBKL+LkXDLScwB71Vbk+d4ZCdkS9Keo0ePom/fvgCA4uJiTJ06FUOHDsUXX3yBffv24Z133gHgGgoSiMlkwpQpU5CYmIiPP/4Ye/bswZdfftnmdgAQFxeH/v3749JLL8WqVasgl8uxatWqEJ1deCRnZvksg8vxPJIysiRpj1QxTE1NhVwux/nnn+/x+KBBg1BaKs0byfaIVefB95bMQ63OlaA1oYvjtddei8TERKxZsybo1+KFF16IAwcOoK6uDjqdDhs3bkR1dTX69YuiusT+RFk9Ze8Y3nDDDRG9nwajvr4eV111FRISEvDll1+KPfKkbf4mJMo1KsTkJ4WtBzhg8suywv67H4myg5FAiXcPlxGXgYWjForJN8/xWDhqoSTDTLZu3YpDhw7hpptuAuDqZREEAa+99houvfRSFBQUoKzMsxdXqVT6lMg6duwYqqursWzZMowdOxaDBg3qcK+1IAhRUfezNQkpqZg05yFwTb2BHM9j0r0PSjLMRMoYKpVKjBw5EsePH/d4/MSJE8jJyQnB2YVXTEwmzhv0AppvyzzOG/SCJMNMQh3H559/Xqw2057XokajQVpaGk6cOIG9e/fi+uuv7/zJhVMrtYojzTuG+/fvl/x+6s1oNGLy5MlQKpVYv349VR/qgHAn2j7HC5T85maH/Xc/EmUHI4HGeBNMHzAdl2VdhtL6UmQnZEck6bZardDr9XA6nSgvL8fGjRuxdOlSTJ06FTNnump79u/fH3a7HStWrMC0adOwc+dOvPvuux77ycvLQ0NDA7Zs2YJhw4YhNjYWOTk5UCqVWLFiBebOnYvDhw9jyZIlrbbHZDLhhRdewHXXXYfMzExUVVXhnXfewblz5/D73/8+bNchVIZMnIy8YSNQpy9DUkZWRJLuaIshADz++OO45ZZbMG7cOEyYMAEbN27E119/jU2bNoXlGoRaVtbN0GrHwmw+A7U6NyJJdyTi+Le//Q1z5szB8ePHg4rjZ599hrS0NOTk5ODQoUN45JFHcMMNN2Dy5MlhuQYhNWKma1xrzSlXb18Eku62YigIAvLz8yP6WqypqUFJSYmY3LvfEGdkZCAjI0NMuhsbG/HPf/4TRqMRRqMRAJCWlgaZTBbiq0RCwZ38eo/xlmtUEfndjxuZAVVBMhxVZshT1V0u6QZA5QRDqSuXE4ykWbNmieWq5HI5S0tLY1deeSVbvXo1czqdHs99/fXXWWZmJlOr1WzKlCls7dq1DACrra0VnzN37lyWkpLiUf5q3bp1LC8vj6lUKjZq1Ci2fv36Vktamc1mduONN7KsrCymVCpZZmYmu+6669ju3bs7da7RGoPOisYYuq1atYr179+fxcTEsGHDhrHPP/+8W8YgFCIRx7Vr17Lc3Nx2xfHNN99kffr0YQqFguXk5LBnnnmGWa3WMFyBri+YGLrvQ6+88krEXov/+Mc/fMoTttynv/KF7q/Tp08H3C+VE4wOHSnpJ6VoigHHmNesLNJhRqMRGo1GLIkUbhaLBadPn0bfvn3pIzpCCCHdHv3dI10djfEmhBBCCCEkAijxJoQQQggJMb+LzJAejyZXEkIIIYSEkN9FZsJQV5t0PZR4d2NOp1NcQIFmiEuDYiA9ioG06PpLj2IQWYEWmbFnypHUJ7pXQu6ujEaj+BqIxBy81tBQk25MEATxi0iDYiA9ioG06PpLj2IQWYEWmWnUGSVpDwEaGxvR0NDQ5iqtkUCJdzdAhWkIIYT0BF3h712gRWa4JFqVk1Di3aW5PzIMxbK9hBBCSLRz91hG89Ly/lZYxIRUcAnR22YSOTTGuwuTy+WIjY1FZWUlFAoFeN7zfZTdbhfHNHkvA0wig2IgPYqBtOj6S687xIAxhsbGRlRUVCApKSnqx6q3XGGxVqiHEEv9nMSFEu8ujOM4ZGZm4vTp0zhz5ozPz2lCjfQoBtKjGEiLrr/0ulMMkpKSkJERmeogDoO1U0uTyzUqyDUqcHoL0MYbns4ei3QdlHh3cUqlEgMGDPA73KSyshKCIIDneaSlpUnQOkIxkB7FQFp0/aXXXWKgUCgi9sYhkuUAw3ksSuijDyXe3QDP836XzlUoFHA6nZDJZLS0rkQoBtKjGEiLrr/0KAbtE6gcoKogOeTJaziPRbXEoxMNOiKEEEIIaRKoHKCjytxljhUooadVNKVHiTchhBBCSJNA5QDlqeouc6xIvnkg7UOJdzemVCqhUqmgVCqlbkqPRTGQHsVAWnT9pdeZGDgMVlhO1vWonlJ/5QCTpw/o8NCP1q5/qI8l7jeCbx66gmi6D3GsK1Sj7yKMRiM0Gg0MBoPkS5ISQgghndHTxwhHcmJiOI7V0+MXrWhyJSGEEEI8RHKCYUfa5qgyw5logFVehlh1HmJiMkO2X3fy6/6KhHAcq2UtcapqEj0o8SaEEEKIh9bGCEuZwLl7ceuy/ovy8z8EOAaAx3mDXkBW1s2d3m936x2O5JsHEhwa400IIYQQD9E4RtjdC29X1rRIugFAwNFjT8Ni0XVqv1JWALGW1sO4/SyspfUROyaRBvV4d2NVVVXiogmpqalSN6dHohhIj2IgLbr+0utIDNyT/rx7gaXsPXX3wttjy1sk3W4CzOYzHRpyEu7e/bauf82nx9FYVCF+HzsiHdqbB3b6uJ1iOAfUnAS0+YCmt7RtCYFoug9R4t2NORwOcdEEIg2KgfQoBtKi6y+9jsYg2sYIu3vhFY29AMZ5Jd881OrcTu3XI/kOYe9+a9ffWlrvkXQDQGNRBeJGZUGVnRCS47db0VpgwyMAEwCOB6a9CYyYKU1bQiSa7kM01IQQQgghfsk1KsTkJ0medLvbkjx9ABQ2LXodmQ0wdwrjGuPd0QmW4SrpFwxrscHv4+aj1WE/tl+Gc81JN+D6d8OjrsdJSFCPNyGEEEK6BHcvfGrVEPRNvBM2uQ5qdW6nq5pI1buvytP4fbxhaykUyTGRn+BZc7I56XZjTqDmVLcYchINKPEmhBBCSJfRXKkjCXHo2PCS1vcbOarsBMSOSPcZbgJIVL5Rm+8aXtIy+eZkgLZf5NrQzdFQE0IIIYSQDurs6p7amwdCc0O+7w+kWOJd09s1pptrGgvNyYBpy6m3O4Sox5sQQgghpANCVf9bfV4KDP85GbYJnu0yYiaQf4VreIm2HyXdIUY93oQQQggh7RTK+t9STvD0S9Mb6DuWku4woB5vQgghhJB2CnX972gr30jCgxJvQgghhJB2Ckf9b1rivfujxLsbS0hIAGMMHOe97i+JFIqB9CgG0qLrLz2KQXgEu7onXX/pRVMMOMaY9wclpIOMRiM0Gg0MBgMSExOlbg4hhBBCwsxhsHZoeEhHtyNdG/V4E0IIIYR0UEeGh4SqGgrperp8VZPjx49jxYoVmD17NoYMGQK5XA6O4/D888/7fb4gCPjxxx/x7LPPYsyYMUhJSYFCoUBqaiomTZqEjz/+GPQhACGEEELCIZTVUEjX0+V7vP/+97/jzTffDPr5p06dwujRowEAWq0WF110EZKTk3Hq1Cls3rwZmzdvxr/+9S988cUXUCqV4Wp2RDidTvH/MplMwpb0XBQD6VEMpEXXX3oUA2l5X/9QV0MhbYum10CX7/EePHgwHnvsMXz88cc4evQo7rzzzlafz3EcJk6ciG+++QYVFRX49ttv8a9//Qu7d+/G999/j7i4OHz11VdYtmxZhM4gfCorK6HX61FZWSl1U3osioH0KAbSousvPYqBtLyvv1gNpSWpFsvpIaLpNdDle7zvuecej+95vvX3Evn5+diyZYvfn11++eWYP38+/vrXv2Lt2rV49tlnQ9ZOQgghhJBgq6GQ7qnLJ96h9rvf/Q4AUFpaKnFLCCGEENId0WI5PRcl3l5OnDgBAMjMzJS4JYQQQggJh2go5UeL5fRMlHi30NjYiLfeegsAcNNNN0ncGkIIIYSEmncpP81VeVD0SaCeZxIRlHi3cP/99+P06dPIysrCggUL2ny+1WqF1dpc/sdoNIalXQ0NDWhoaGjzeQqFAikpKR6P1dfXB1UeMT4+HvHx8eL3giCgoqIiqPZptVqPCjAWiwV1dXVtbsdxHHr16uXxmMFggNlsbnPbmJgYJCUleTxWUVEBQRDa3DYxMRGxsbHi93a7HdXV1W1uBwBpaWkeM6JNJhPq6+sDPr+2thaCIEChUCAjw7NGa01NDWw2W5vHjI2N9VmQSa/XB9Xe5ORkqFTNf0isVitqa2uD2ta7vUajEY2NjW1up1QqodVqPR6rqqqCw+Foc9uEhATExcWJ3zudzqAnw7hLg7o1NjbCaDSKMQg0/4PneaSnp3s8VldXB4vF0uYx1Wo1NBqNx2Pl5eVBveaSkpIQExMjfm+z2VBTU9PmdgCQnp7ucT6duUdUV1fDbre3uW1H7xG1tbWIjY31eN3QPcKXXC5Hamqqx2Ohuke09hroafcIrlHwKeVn+KbY9X8O4K9IBz/Y8zXd2XuEN7pH+Ap3HuHvNRCOe4T3a8IfSrybLFmyBGvWrEFMTAw+/fRTn188f5YuXYrFixeHvW2CIHiUwgnEX4kcxlhQ2/v7RQvmmP4wxoLa1t/SrcGeq7/2BrutvxteuM5VEATxy9/Pwt1e722DjU2gfXXF2LS8/sHuqzO/h06nM6g/qqE8187cIzp7rh3Zju4RvvwlxaFqb2uvgZ52j/Bbyk/cOSBsqYCQHQMuvvX0iO4R/o/hLVryCH+vAal+DynxBvD666/j2WefhUqlwpdffinW+W7LU089hXnz5onfG41GZGdnh7x9PM8HVXfS342b47igtve3bUdrXXIcF9S2/l4wnTnXtiratHbccJ2ru02B2tvR6xRse723DTY2gfbVmdiE+1z97Usmk3nEwN++OtPeQK+bYP6ohvJcO/u66cy5dmQ7ukf4CufrprXXQE+7R4il/FpJvnmjE3yLISd0jwjvPcKfUN8j/L0GpLpHcKybLdM4e/ZsrFmzBkuWLMEzzzzT5vNXrFiBhx9+GEqlEoWFhbj22ms7fGyj0QiNRgODweDzsZ8U9Ho9nE4nZDJZUB9/kNCjGEiPYiAtuv7Soxh48hjj7Y0DMuZfHNKx3nT9pRdNMejRPd7vvPOOmHR/8cUXnUq6CSGEENI+UlQXaVnKz3auAcZvTlM9bRIxPTbxfvfdd/Hggw+KSffUqVOlblLIBTNOnYQXxUB6FANp0fWXXrTGwLu6SPL0AYgbGZneSHcpv5j8JMQOS/NI/i0WHRrNxYhV5yEmpvOlhaP1+vck0RSDHpl4r1y5Evfff3+3TroBeFR4INKgGEiPYiAtuv7Si8YYOAxWn+oitYUnoCpIjniPc8t62mVln+LosacBCAB4nDfoBWRl3dyp/Ufj9e9poikGXX6Md1FREe6//37x+5MnT6Kqqgp9+vRB7969xce//PJLZGZm4sCBAxgxYgQYYxg0aBAuueSSgPv+8MMP29WWaBvjTQghhEQjy8k6VK085PN46r1DEJOfFPkGAbBYdNj54zi4km43HqMv+yEkPd+EAN2gx9toNOKnn37yefzs2bM4e/as+L273nZdXZ04m/jYsWM4duxYwH23N/EmhBBCSNv8Vhfhmh4PF8M5oOYkoM0HNL19ftxoLoZn0g0AAszmM5R4k5Dp8on3+PHjgyrL09Hnd2WNjY1gjIHjOI9C7yRyKAbSoxhIi66/9KIxBnKNCsnTB/iM8Q7bMJOitcCGRwAmABwPTHsTGDHT4ymx6jwAPLx7vNXq3E4dOhqvf08TTTHo8ok3CcxoNIrlc6T+ReupKAbSoxhIi66/9KIiBn56m1tWFwlrVRPDueakG3D9u+FRIP8Kj57vmJhMnDfoBZ8x3p3t7Y6K69/DRVMMKPEmhBBCSPi00tvccmJj2NScbE663ZgTqDnlM+QkK+tmaLVjYTafgVqdS0NMSMgFt0QPIYQQQkh7BeptNpyLXBu0+a6EvyVOBmj7+X16TEwmkpMvpaSbhAUl3oQQQggJj9Z6myNF09vVy841LenNyYBpy/1OsCQk3GioCSGEEELCw93b3DL5bqW3OWxGzHSN6a455To2Jd1EItTjTQghhJDwiKbeZk1voO9YSrqJpKjHmxBCCCHhE+HeZp3BjNNVJvRNjUOmJox1wQnpAEq8CSGEEBJemt4R6Wn+ZE8Jnio8BIEBPAcsnT4Et4zMCftxCQkWDTUhhBBCSJemM5jx1cEyzP/ClXQDgMCABYWHoTOYpW0cIS1Qj3c3xvO8x78k8igG0qMYSIuuv/QiFQOphni07OX25mQMxVWNkg45odeA9KIpBhzrKeunR4DRaIRGo4HBYEBiYqLUzSGEEEIiojNDPBwGa4dXr9QZzBi9bKvfpBsAZByHHfMn0FhvEjWox5sQQgghHaYzmD16nN1DPMYVpLWZ8Jr26FHx9U8oU1WivDEdw64cjvzLgx+TfbrK1GrS/eL0wZR0k6hCiTchhBBCOsxf8hvMEA+HwYrT//sAn/c7hjVHbgEDD+6bg3iBc+C2ccHV+e6bGgeeg8fxeQ546w+/w4V5yZR0k6gj/WAXQgghhHRZ7uS3JRnHIS81ttXtTPpiHO33pZh0AwADh2e+ORr0hMhMjRpLpw+BjOPE4y6dPgRTh2VR0k2iEvV4d2N1dXUQBAE8zyMpKUnq5vRIFAPpUQykRddfeuGOgTv5XVB4GE7Ggh7iYYsrR4U5TUy63QSGdk2IvGVkDsYVpKG4qhF5qbFRl3DTa0B60RQDSry7MYvFAqfTCZlMJnVTeiyKgfQoBtKi6y+9SMSgI8lvQuoApMdWgYPgkXzzHNrsLfeWqVFHXcLtRq8B6UVTDGioCSGEEEI6xV1KsL09zsMLbsKs8z8BDwEAwHMMS6cPidokOtQcBissJ+vgMFilbgqJEOrxJoQQQkiHdaSUYFnZpzh67GkAAsb24TB56HDYVdehICu7xyTdpj161BaeABgADkiePgBxIzOkbhYJM+rxJoQQQkiHBCol2NrkSItFJybdLgzmmvdwSd+E0CTdhnPA6R9c/4Zzm05wGKzNSTcAMKC28AT1fPcA1ONNCCGEkA7pSCnBRnMxmpNuNwFm8xnExGR2rkFFa4ENjwBMADgemPYmMGJm6LfpJEeVuTnpdmOux9u7iBDpWqjHmxBCCCEd0pFSgrHqPPimHzzU6tzONcZwrjmBBlz/bnjUfy+2u4f77L7gtwkheaoa8Lpu4JoeJ90aJd6EEEIIaZuf4Rj+6mi3VUowJiYT5w16Ac0pCI/zBr3Q+d7umpPNCbQbcwI1pzwfK1oLLB8MrJkGrLoiuG1CTK5RIXn6gObku2mMN/V2d3801IQQQgghrWtlOEZHSglmZd0MrXYszOYzUKtzO590A4A239W2lok0JwO0LVbB9OkV97PevPc2YRI3MgOqgmTX8JJUNSXdPQT1eBNCCCEksCCGcGRq1BiVn9KuyZExMZlITr40NEk3AGh6u94QcE21mjkZMG2563E3f73iAMR0yN82YSTXqBCTn0RJdw9CPd7dmFqtFldqItKgGEiPYiAtuv7h4a6b3Tc1rs1kV2WXwVlthyxF2bGDtTaEI0IJatBGzATyr3C1TdvPt32BesXv3gTYG/1v00n0GpBeNMWAEu9uTKPRSN2EHo9iID2KgbTo+odee+pmm/boYWpRK1o53dn+WtHBDOGIJpregZNnd6/4hkddbx7cPdx9Lgxfc+g1ILloigHHmL8BTqQjjEYjNBoNDAYDEhMTpW4OIYSQbkZnMGP0sq0eJfxkHIcd8yf49Hw7DFbol+32LFvHARnzL27/0Iaitb7JaphL7oWV4ZzfXnGHwUpjrklYUY83IYQQ0kW0p252SGtFtzWEIxQM51zDWrT54R/C4qdXnFaSJJFAiTchhJAer8xiwymzFf3UKmTFdHAsdAS462Z793j7q5st1or26vHucK3o1oZwdJYEi9i0FGglSVVBMvV8k5CSfpQ5CZvy8nKUlZWhvLxc6qb0WBQD6VEMpNUVrv+6smpctOsIZhw4iYt2HcG6smqpmxRQe+pmd5la0e1Z+CZMWvt0oLO6wmugu4umGFCPdzfGGBO/iDQoBtKjGEgr2q9/mcWGx46XiguYCwAeP16K8dqEqO35bk/d7LiRGTAm2eGssUKmVSFuQBQOnYiCqikh/3SghWh/DfQE0RQD6vEmhBDSY50yW+Fd1dkJ4LTZKkVzgtaeutlcggJcHzW4BEUEWuafxaJDTe0uWCw63x+6q6a0FOGqKV3m0wHS5VGPNyGEkB6rn1oFHvBIvmUA+qp7eMIVwomOZWWf4uixp+G6yq7l4bOybm5+QqASfxGuEU4rSZJIoMSbEEJIj5UVo8SrA7Px+PFSOOFKul8ZmC3pMBOLRYdGczFi1XmhW9WxPYKZ6BhkYm6x6Fok3QAg4Oixp6HVjvU8t0hUTQmCXKOihJuEFSXehBBCerTbslIwXpuA02Yr+kpc1aTN3uFwCzTRMf+K5mS4HRVIGs3FgM9gHgFm8xnfNxWhrpoSyfKEhASJxngTQgjp8bJilBidLO2EykC9w37HRbegM5jx48kq6Aydr8DR6kRHoN0VSGLVefBNNXio1bmdb2tritYCywcDa6a5/i1aG97jERIkSrwJIYSQKNBa73Agn+wpwehlW3Hbyp8wetlWfLKnpHONaGuiY1uJuZeYmEycN+gFNKcbrl78sA6hiYLyhIQEQkNNCCGEkCjQ3DvcMrEN3DusM5jxVOEhcTEdgQELCg9jXEFaUNVO/GproqM7MW+ZfLdRgSQr62ZotWNhNp+BWp0b/nHrUVCekJBAKPEmhBBCooC7d9h7jHegRLU9y8e3S2sTHTtYgSQmJjNyE0U78ObAB40PJ2FCiXc3lpSUBMYYOI5r+8kkLCgG0qMYSCtS199hsHaLMnDt6R0Odvn4DsVA0xsWFe+qrmLho7ICSUCdLU8Y4uXr6R4kvWiKAceiYRmfbsJoNEKj0cBgMCAxMVHq5hBCSI9g2qNHbeEJ16qDTQufxI2MwhUam4TyTcIne0qwoPAwnIyJy8ffMjKn022RvLpKKBjOtf/NgeGcazKmd2/5o4ei7w0G6ZKox5sQQkiX5TBYm5NuAGBAbeEJqAqSo7LnO9RvEtqzfHywbQm69na060h5QhofTsKMqpoQQgjpshxV5uak2401PR5lAr1JcBg6tzx9e5aPD6YtHamu0m1EwfL1pHujxLsbs9ls4heRBsVAehQDaYX7+stT1YD3sE2u6fEoI9WbBH8xaK0tktXejgbu8eGczPV9CJavp3uQ9KIpBl0+8T5+/DhWrFiB2bNnY8iQIZDL5eA4Ds8//3yb227evBnXXHMNUlNToVarMWjQIDz99NNoaGiIQMvDr6amBpWVlaipqZG6KT0WxUB6FANphfv6yzUqJE8f0Jx8Nw2ZiMZhJlK9SfAXg9baIknt7RYcBissJ+s6/UlAh42Y6RrTPesr17+dmFgJ0D0oGkRTDLr8GO+///3vePPNN9u93RtvvIF58+aB4ziMHTsWvXr1wvbt2/Hiiy/iiy++wI4dO5CamhqGFhNCCAmluJEZUBUkR31VE/ebBO9x1VK0t622tFVdJVxVZKJmomyol68npEmXT7wHDx6Mxx57DL/73e8wYsQIvPjii/joo49a3Wb//v34y1/+AplMhg0bNuDqq68GADQ2NuK6667Dli1bMHfuXHz++eeROAVCCCGdJNeoojbhbsnfmwSdwYzTVSb0TY3rXP3tYLSoTx03snerb1gC1d4OV3Lc1SbKEtIRXT7xvueeezy+5/m2R88sXboUjDHcddddYtINALGxsVi1ahX69euHL774AseOHcOgQYNC3mZCCCE9V8s3CZ/sKRFXn+Q5YOn0Ie0qB9ge6qOfAT8861GfWj5iZruS2nAmx62NO6fEm3QXXX6Md3vZbDZ8/fXXAIDbbrvN5+e5ubkYPXo0AODLL7+MaNsIIYT0HIGWfNcZ2j/Zsq1x0XyDHonupBtw/bvhUVcPeBDbi8cJ4wTRrjRRlpCO6vI93u3166+/orGxEQBw0UUX+X3ORRddhO3bt2P//v2RbBohhJAexN+S72msCjWHtyBz8O+CHmMczNAPufEMuAD1qU2/yny3L3D6LJmuM5hR0mBGbw6eyXeIkuNoGgNPSLj0uMT79OnTAFzLhyYkJPh9TnZ2tsdzCSGE9FyhmEjobx/eS77fLNuGpfIPINvEgM3BLVUe7NAPR2IuGMd7Jt+cDA55js/21n+/g1jl267nNg1J+cQ5XuydnwYFnuDU4MKQHHeVibKEdFSPS7zr6+sBAHFxcQGfEx8fD8C1BHxrrFYrrNbmj+Xaen5HNTQ0BFXiUKFQICUlxeOx+vp6MOb9uaCv+Ph48bwBQBAEVFRUBNU+rVYLpVIpfm+xWFBXV9fmdhzHoVevXh6PGQwGmM1tf2QZExODpKQkj8cqKiogCN6LPvhKTExEbGys+L3dbkd1dXWb2wFAWloaZDKZ+L3JZBJ/p/ypra2FIAhQKBTIyPDsgaqpqQmqpmhsbCwSExM9HtPr9UG1Nzk5GSpV8x8uq9WK2traoLb1bq/RaBQ/LWqNUqmEVqv1eKyqqgoOh6PNbRMSEjxem06nE5WVlUG1NyUlBQqFQvy+sbERRqNRjEGg+R88zyM9Pd3jsbq6OlgsljaPqVarodFoPB4rLy8P6jWXlJSEmJgY8XubzRZ0qav09HSP8+nMPaK6uhp2u73NbTt6j6itrUVsbKzH66Yr3SO8e5P5K9LBD9YE3NbfPcKw6yyELRU+++AAzL8iF8u2nEE6q3Yl3VzT7w4TwDY8isrEoRDiA09cFEob/Q79qPj1HPhs1zm4XgMxYBfNR+beZeCYAMbxMI5bDN4U67G9DFVIlq8Ax1q24xG8aXkTAnP97myAHbuZA1/ediHSc5PE5Dik94g4AGYL4BXqcNwj2tLZe4Q3ukf4Cnce4e/vQDjyCO+/m/70uMQ7lJYuXYrFixeH/TiCIMDpdLb5vJY3ezfGWFDb+/tFC+aY/jDGgtqW47wH8wV/rv7aG+y2/m544TpXQRDEL38/C3d7vbcNNjaB9tUVY9Py+ge7r878HjqdzqD+qIbyXDtzj+jsuXZku65yj/DXmyxsqYCQHQMuPrg/n06DtTnp9rOPa89LxsjsONiK/wfZLs/fCY45wdWehlOdFritiTLXuOiWyTNXBblZD4ehH4T4DPE1UJs3FVz/KyE3lsCRmAMhPgNJcpXH9nK+DBzn3Q4BOVw5ylhzQlYOhjNxcmS16JHuqveIjqB7hP9jeIuWPMLf3wGpfg97XOLtHl5iMpkCPsf9rtC7l9HbU089hXnz5onfG41GcZhKKPE87/fF4O953jiOC2p7f9sGc0x/OI4Lalt/L5jOnGswFW0CHTdc5+puU6D2dvQ6Bdte722DjU2gfXUmNuE+V3/7kslkHjHwt6/OtDfQ6yaYP6qhPNfOvm46c64d2a6r3CMCTSTkjU7wQQ6BEGptbe4jU6OGcuBg4H988+RHAIyTgSX3bf18NTLIr+4DyzdnAQbEyr5DsuJtcFvdvdrPwZhxJQDX+XOa3nBqeoMDIAMgT/IcV+1gWWDgwaFlO3iUMM9eRZ4D8lJjPR7rqveIttA9Irz3CH9CfY/w93dAqjyCY8FEvwuZPXs21qxZgyVLluCZZ57x+fmhQ4cwdOhQAK5E2d8473nz5uGNN97AjBkz8NlnnwV9bKPRCI1GA4PB0GbSHgkt380F+8tEQotiID2KgbSi7fq3p2a2w2CFftlun4mEGfMv9hw/3coY8GD3AQAoWuuqNMKczUuVB7lqosNghePMKai+vMxnHLfwyM9AomuCZKAYeJzDyU982vGJczwWFB6GkzHIOA4vTh8ctrKH3U20vQZ6omiKQch7vH/99Vfs2rULZWVlqKyshMViQUpKCtLS0nDeeedh9OjRHuNiIm3gwIGIjY1FY2Mj9u7diwkTJvg8Z+/evQCAESNGRLp5ISX1LxehGEQDioG0oun6t7dmtvzkJ0iWf4Va+/0AZADHkDy9wCNhbquiiFyjQvLVqaj9phJgXOuTEUfMBPKvAGpOAdp+7Vo5Ua5RQZ5Q6dFjDgBgTvC1xUBS65/GeixA5KcdtwAYV5CG4qpG5KXGhn+hn24kml4DPVU0xSAkifeuXbvw/vvv49tvv0V5eXnrB5TLMWLECNx+++248847fSYmhZtSqcS1116Lzz77DOvWrfNJvM+cOYMff/wRAHDjjTdGtG2EEELCI1DN7HEFaf6TSMM5YMMjiJMJUPF74RCyIJeVQ17wvfiUoCqKFK1F3LZHoFImw8F6Qz55LuQjxwZuaGeWKtfm+x0mwmn7tX9fftqRqVFTwk1IJ3XqLcA///lPDB06FGPGjMGaNWug1+vBGENcXBxycnIwfPhwjBo1CgMHDkRaWho4joPdbsdPP/2ERx55BL1798a9996L0tLSUJ1PUObPnw+O4/CPf/wDGzduFB9vbGzE3XffDafTiZtuuolWrSSEkG7CX81sJ2MorgpQhaPmpNh7LOeqESM7BDkqXL3ATdpcTKYpeQcTXPvgD0K+5SFx0ZpQcyAVtfYHwZjrTztjPGptD8KB1LAcjxDSfh3q8f7+++/x2GOPYf/+/WCMQavV4qabbsK4ceNwySWXoH///n63a2howN69e/HTTz9h/fr12LVrF1atWoWPP/4YjzzyCBYsWBCwtnYgRUVFuP/++8XvT548CQB477338NVXX4mPf/nll8jMzATgGkLy2muvYd68ebjmmmtw+eWXIz09Hdu3b4dOp8PAgQPx7rvvtveyRJ2GhgaxfE7LEj8kcigG0qMYSCtarr93zWwAkHGczwRBkTbfVcPaa7w0WvQeiystBlpMpkXyLmpatKbDvdqtcFSZ0eicDKtzBOR8GRxCFpxIBVdaAxkXJ3kMeqpoeQ30ZNEUgw4l3hMnTgQATJkyBXPnzsU111zjURszkPj4eIwfPx7jx4/Hk08+idOnT+Ojjz7CihUr8PLLLyM2NhZ//etf29UWo9GIn376yefxs2fP4uzZs+L3LettA8Cf//xnDBkyBK+99hp2794Nk8mEnJwcPPXUU3jqqafa/QYgGjU0NMDpdEImk0n+i9ZTUQykRzGQVrRc/0yNGkunD/GZIBhw6ISmt2sBG+/Jji0S5jZXWgwieQ8l9xsBJ0uFU2jq5eYAi8oBob5e8hj0VNHyGujJoikGHapqcvXVV2PRokW45JJLQtKIxsZGvP3224iLi8MDDzwQkn1KIdqqmuj1evEXLZii7iT0KAbSoxhIK9quv85gbt8EQcO5Nic7trqyZYtKJQ6kw3HpC5CPuj5sKzL6m+xZn42oikFPE22vgZ4ommLQ7coJSokSb+KNYiA9ioG06PoDMJyD6cdTqP0BAaufhJL3GwGKgbTo+ksvmmIQPfVVCCGEkG7IgdTmpBsQq584DNbWNuswuUaFmPyksPWqE0I6jhJvQgghJIzarH4ShXQGM348WQWdIXrbSEhX1OOWjCeEEBJYfXUVanVlSM7MQkIKlaELBb/VTwBwytaXmG7PKpuh1N6FhgghwQt54r19+3Zs27YNzz77bKh3TQghJIwObf0Om95fAcYYOI7DpDkPYcjEyVI3q8vzqX7SpPJvBwKO9ZYq+W33QkOEkHYJ+VCTH374AYsXLw71bgkhhIRRfXWVmHQDAGMMm1a+jfrqKolb1j3EjcxA2v3DXT3fbv7GehvOQXfoe7/JbySGfbR7oSFCSLvQGG9CCCGo1ZXBu8gVEwTU6cskalF0cBissJysC8lESGZztj7Wu2gtsHwwTn/6lGTJr3uhoZZaXWiIENIuQQ01+eMf/xj0Dn/++ecON4aElkKhgEwmA8/T+yupUAykRzEITnJmFjiO80i+OZ5HUkZWp/bbla+/v5rYnSkB2OpKly2Wl+/L68FDgNCib6wzyW97YtDuhYZIm7rya6C7iKYYBFXHm+d5nxtyqzvlODidzk43rquJtjrehBDSHoe2fodNK98GEwRwPI9J9z7YY8d4OwxW6Jft9kmSM+Zf7LdMX6CJkBaLDo3mYsSq8xATkxk4mT/9A7BmmrjdJ47xWOC4G07IxOQ3khMc273QECEkKEH1ePfq1QsjR47EZ5991uZzly5diiVLlnS6YYQQQiJryMTJyBs2AnX6MiRl9OyqJq2VAPROvANNhCwr+xRHjz0NQADA47xBLyBr5M1QFST7rnTptbz8LfLvMU5+GMXTv0Zebm7Ek99MjZoSbkLCIKjE+6KLLkJRURFUqraL8SsUik43ihBCiDQSUlJ7dMLt1uqwkBYCVQG5JIfhpJh0A4CAo8eehlY7FjGaTN9ec01vYNqb4vLy4GTInLYQmUMHhecECSGSCCrxvvDCC/H1119Dp9MhMzOz1edqNBrk5FC9T0IIIdGvzGLDKbMV/dQqZMUoxcd9SgA2DQvxTpgDVQH5VX8GMjHpdhNgNp9BTIzn31FxOMr5kxCTfwioOQVo+7mScUJItxLUGG+TyYSqqipkZWVRj3Yrom2Md3V1NQRBAM/zSElJkbo5PRLFQHoUA2lF8/VfV1aNx46XNg0EAV4dmI3bsjzb6DBYfYeFtKAzmDF62VaP5FvGcdjy6AU4+cuVgEfyzWP0ZT94JN5+h6Nk3RzCs+x8DNq6BqR10fwa6CmiKQZBTe+Mi4tDbm4uJd1djN1uh81mg91ul7opPRbFQHoUA2mF+vqHqrxfmcUmJt2AK+19/Hgpyiw2j+fJNSrE5CcFTDjdVUBknKsGn3siZF6vXJw36AU0/5l1JdUtk26LRdci6Xa14uixp2Gx6Dp1bt46EwPTHj30y3ajauUh6JfthmmPPqRt6wnoHiS9aIoBLRlPCCGkSwhleb9TZqvPQBAngNNmq8eQk2DcMjIH4wrSfKqAZGXdDK12LMzmM1Crc8Wk210BJVl+CghyOIoUHAar52qbTQv+qAqSqeebkA7qVEFDu92OoUOHYsOGDaFqDyGEEOIjUBIYTM93fXUVSg4f9FiFs59a5fMHUAagr7pjCWWmRo1R+Sk+lUBiYjKRnHypmEh/sqcEo5dtxW0rf8K179Zh+9lRXnvioVbndqgNodZaZRdCSMd0qsdbEAQcPnwYtbW1oWoPIYQQ4qM95f1aOrT1O2x6fwUYY+A4DpPmPIQhEycjK0aJVwdm4/HjpXDClXS/MjC73b3d7eGvAsrao3/ABanHoI2phb/hKFIKtrILISR4NNSEEEJI1OtIElhfXSUm3QDAGMOmlW8jb9gIJKSk4rasFIzXJuC02Yq+XlVNwsFfBRSBcUjvuw5DM2o8hqNEg2AruxBCgkeJNyGEkKjXkSSwVlfms+IyEwTU6cvEWuVZMcqwJ9xufVPjwHPwqYBSkJWNZE1BRNrQXnEjM/wv+EMI6RBKvAkhhHQJ7U0CkzOzkKCwIUnRiFqbGg0OFTieR1JGVoRa7MldAWVB4WE4GRMroET7CpFyjYoSbkJChBJvQgghkquvrkKtrsyVLLeycmZ7ksCEM/8P9/bfDQ4MAgM2lxcg8+YXWt1/uGtWB6qAQgjpGSjxJoQQ0iHBJsutcRisOLFpO77/chUaHfUeEyA7xXAO2PAIuKZB4TwHTMr8DdyFFwTcJJTlCluTqVFTwk1ID0WJdzcWHx8vrtREpEExkB7FIDwCVQvx1tr1dye6CUyFqX3mYk/VtzjdcNBjAmSH1ZwEmGeNbI4JruXY/SzF3p1rVtNrQFp0/aUXTTGgxLsbi4+Pl7oJPR7FQHoUg9Brq1pIS4Guv3eiy3E8LkqdAr35NMzOeo8JkB2izQc43jP55mSAtp//9nSwXGFXQK8BadH1l140xUD61J8QQkiX0lq1kGD5S3R5jke8Iik0EyA1vYFpb7qSbcD177Tlfnu7gRblCluimtWEkBCjHm9CCCHtkpyZBY7jPJLvoJJlwznXEBBtPuSpqT51uQUmwOQ0YNK9D3aut9ttxEwg/wrX8BJtv4BJN0A1qwkhkcEx726Ldjpz5gxSU1MRFxcXqjZ1WUajERqNBgaDAYmJiVI3B4LQ/BFrNIxr6okoBtKjGITHoa3fYdPKt8EEARzPY9K9D/od4y1e//0fwfbdn9EYwyPWIiBmynKYnJM9El12iRpJY/NCk3R3ULirmkiBXgPSousvvWiKQacTb9Is2hJvvV4Pp9MJmUyGjIzQz8wnbaMYSI9iED711VWo05chKSNwVRO9Xg9mOAdh2zU4NiAO4DiAMZx3ohFZt+6DA6ndLtENhVC+AaDXgLTo+ksvmmJAQ00IIYR0SEJKalC900Ldz81JNwBwHI4OiIW2Yi9iBlxPCbeXSJU1JIREHn3mQQghJGQcBissJ+vgMFjFx8xqWXPS7cZxrseJh0BlDVteT0JI1xWyHm+bzQa9Xg+lUunTjd/Q0IBFixZh06ZN4HkeU6dOxYIFC6BW02xxQkj3EopFZcKlzGLDKbMV/dQqZMUoQ75/fz21yAbkiUOBKq+ZlOCgTr0w5G3o6rpzWUNCSAgT7w8++AAPPfQQZs2ahdWrV3v87Nprr8WOHTvEGfAHDx7E9u3bsW3bNnDevSCEENJFBbuojBTWlVXjseOlEOD6qPPVgdm4LSslZPsP1FMr+2MeFLHpUKQ/gwMV/0YGziEFdRiQ+QScB0pgz+OgoHGvIrGsoed7FCprSEg3EbKhJt9++y0A4LbbbvN4fP369di+fTs4jsPtt9+Oe+65BwqFAtu3b8dHH30UqsMTQoikAi0qU19dJXHLXD3d7qQbAAQAjx8vRZnFFrJjBOqpZXV2/Ntgxh8qh+NFbhEe5d7HCdMrMN20HCWzZ+O3iVeg7vPPQ9aOrs5d1lCsKU5lDQnpVkKWeB89ehQAcOGFnh8drlu3DhzH4cknn8RHH32E999/H8uXLwdjDOvWrQvV4QkhRFKhWFQmXE6ZrRC8HnMCOG0O3bjhQAvQVMTzeKG8oUXSz+E5dTYqE5OaHhCge3Yh7Hp9UMexWHSoqd0Fi0UXqqZHnbiRGciYfzFS7x2CjPkX08RKQrqRkCXelZWViI2NRXJyssfj27ZtAwDcc8894mN33nknAODnn38O1eEJIURS7kVlWgrJCowh0E+t8rnZywD0VYeuFzVQT22pkvNJ+gWZDOfSerV4QIDtTInvTg3ngNM/uP4FUFb2KXb+OA7799+BnT+OQ1nZpyFrf7SRa1SIyU+inm5CupmQjfE2mUw+kyWLi4tRWVmJnJwc9O3bV3w8Li4OSUlJqKmpCdXhCSFEUgkpqZg05yGfRWWiYYJlVowSrw7MxuPHS+GEK+l+ZWB2yCdYxo3MgKog2aP+dK8P14LPHgyhxaIVvNOJ3pXlzRvyPJS5OZ47K1oLbHgEYALA8bBcuwRHjW8CLfrOjx57GlrtWMTEZAZsU7gnlBJCSHuELPHWarWorKxEXV0dkpKSAABbt24FAFx22WU+z3c4HIiPjw/V4QkhRHJDJk5G3rARbS4qI4XbslIwXpuA02Yr+oYxCZVrVGIvrV2vR8LLL2HepePw+m33QJDJwDudeLDkJNKMda4NeB6Zzy32nGBpOAdseAQOIRkOIQtyvgyNO54DhiZ4HU2A2XwmYOId7gmlhBDSXiFLvEeMGIFvv/0Wq1atwl/+8hcIgoBVq1aB4zhMmDDB47mVlZVoaGjAeeedF6rDEz+0Wq3UTejxKAbSi3QMgl1URgpZMcqw9vp69y7bis8AgoBrf/weFx85iHNpvdC7shyvXHAzvpy8AAtHJGLK5JG+VU1qTsJkvwK1jofgSpkFxNa/BuAIPGdw8lCrcwO2xd+E0vHahB7X8033IWnR9ZdeNMUgZIn3rFmzsHHjRsyfPx+bN29GZWUlioqKkJCQgN///vcez92+fTsAUOIdZkplz/rjEo0oBtKjGESGd+/ySzmZmC5LAxerBWusQVqd68vJcdDFp6IqJgmPHOWw43oNvPurHfLcFkk3APBoNM1DQfpR/FrxOtB0lPMGvYAapOBUbb3PUJLWJpR6J97dfTgKvQakRddfetEUg5Al3rfccgu+/fZbfPjhh2JpwZiYGLz77rvi0BO3Tz75xG9POCGEkK7HX+/yk2fKcP5/Teg1eSksBz6CvXgHnByHt4bNQJU6CQDgZAzFVY3I1HjOD3LYNPCd+y9DmvpWpF12A8zmM1Crc1FYo8Rju474HUrinlAqeOzBd0IpDUchhERSyBJvAFi9ejXuvvtu/Pjjj0hKSsIVV1yBfv36eTzHZrNBo9Fg5syZuOaaa0J5eEIIIRLw17sscBxKY3n0sjLE/G4mlA/PxE3flaAyJkl8jozjkJca67O/1haRkcckISYmsynZPxJwKEkwE0ppOAohJNJCmngDwOjRozF69OiAP1cqlXj//fdDfVjih8ViEVfQi4mJkbo5PRLFQHoUg/AvY++vd5lnDNmNTY8wIKnvQDx2ey4WFB6GkzHIOA4vTh8MppJhh9dQEXdpQu/l51uW1gtmKMltWSkYo1DhZEU98tMTkJPmOaG/PcNRujJ6DUiLrr/0oikGIU+8SfSoq6uD0+mETCZDBi3JLAmKgfQkj4HhHFBzEtDmA5reET98y2XswXEYcMtUXDz5emTEhe5aePcu84xhwS9W9LI2dVlzgEluxS0jczCuIA3FVY3IS43FNlMjLgowVKRlacKKRDn2yxn6WWxiQhzMUBLTHj34whMY0JS8m6YP8FiMJtjhKF2d5K+BHo6uv/SiKQYhW0CnqyopKcGDDz6IgQMHQq1WIyYmBn379sWsWbNogR9CSOcUrQWWDwbWTHP9W7Q2oof3XsYejOH4v9bjxn9eg8IThSE5hnslyelaG/aMOh9fDM/HD3HpuKHM7jokGNhFKnAJCgBApkaNUfkpYCpZm8vYyzUqFKqduPTwb5hx4CQu2nUE68qqATQn+7Km53oPJXEYrM095q6GoLbwBByG5tU629oHIYSEWo/u8f7pp58wadIk1NfXo3fv3pg8eTJkMhkOHDiAtWvXYt26dVi3bp1PVRZCCGlTUy1qMPdwCwHY8CiQf0XEer79LWPPg0O8icfiXYtxWdZlner5Liv7FEePPY2WVUZGZ90MXJKAmpM/oervH0Go14OtNyL2L/OAu+8Wtw1mmEdrY7ABIEetxFcjBqBREHxqkzuqzJ5jxAGAuR5vOWQlUvXNCSEE6OE93nPmzEF9fT3mzJmD06dP4z//+Q8KCwvx22+/4ZlnnoHD4cCcOXNgsVikbiohpKupOdmcdLsxJ1BzKmJN8LeMvQAGY6wDAhNQWl/a6vZ6kx67dbuhN+l9fmax6Fok3a49Hz32NCwWHUpKz2HjJ/8Hvb0CzFIHCAIaX3sddn3zfoJZxj5Qcr7ybCUu2nUEMw6cxLVFJ3DGbPNJmMUJmi01TdAE4LEcfVaMEqOTaUIlIST8emziXV1djYMHDwIAnn/+eSgUCvFnPM9j0aJFUKvVqKurw9GjR6VqJiGkq9LmA5zXLZaTAdp+/p8fBu5l7Lmm5doFMOwaUoNGtRM8xyM7ITvgtoUnCjHliymYveUxTPjqEaw6+h+PnzeaiwHfWib46OxZXPpbBeY9+jT+8MIKfH3Z+KYfCbCdKRGfGcwwD3/JOQ/gvdLKVoeoAM0TNMXku+UETYmHABFCeq4eO9REpQp+8kxqanSuQkcIiWKa3sC0N13DS5jTlXRPWx7WYSZ2vR624jNQ5uWKq0G6l7Ffv/cTvF28Cg0xdvAcj4WjFgYcZqI36bF412KYYseiQftHgOPxtE6ATX0K9+W53jjEqvMAr6mJ1UjFwlJFc1LM83j9tntw8ZGDSDPWQZmb43GctoZ5+CsJOCc7DX8vrfR4XqBKJC0naMpT1a6kOwqGABFCeq4em3jHx8dj7Nix2L59O5555hm8/fbbYq+3IAhYtGgRzGYzrr76amRnB+4VIoSQgEbMdCV0NadcPd1hTOzqPv8cumcXAoIA8Dwyn1uMpBkzALh6vm+f8gCuMN2E0vpSZCdktzq2u8RYAjuvEZNuAADHY8lpA67PcA3riInJxHmDXvAY463KeQaC1+gVQSbDuV6ZyL33j75Lw6PtZey9k3PAs8cbaL0SiVyj8hjT3eoQIEq8CSFh1mMTbwBYuXIlrrnmGrz//vv4+uuvcdFFF0Emk2H//v04d+4c7rzzTrz99ttSN5MQ0pVpeoc9obPr9c1JNwAIAnTPLkTcmDEeyW5GXEZQkylzEnOgFPr4DJURwHn0LGdl3Qytdqy4kmQNUsCXHvGp5z1g4TNQZXV8Eqd3ct7Wwjitcg8Bapl8d2IIkMWiQ6O5GLHqPMTEZHZoH4SQnqNHJ94DBw7Erl27cOedd+K7777DuXPnxJ+df/75GD9+PBITEwNub7VaYbU2l6YyGo1haWdDQwMaGhrafJ5CoUBKiudSx/X19T5VDfyJj49HfHzz4hKCIKCioiKo9mm1WiiVzX/0LBYL6urq2tyO4zj06tXL4zGDwQCz2dzmtjExMUhKSvJ4rKKiAoLgPebUV2JiImJjm1fLs9vtqK6ubnM7AEhLS4NMJhO/N5lMqK+vD/j82tpaCIIAhULhUzu0pqYGNpstwJbNYmNjfX4P9XrfyW7+JCcnewyrslqtqK2tDWpb7/YajUY0Nja2uZ1SqYRWq/V4rKqqCg6Ho81tExISEBcXJ37vdDpRWVnZyhbNUlJSPOZqNDY2wmg0ijHgef9TWnieR3p6usdjdXV1QU2qVqvV0Gg0Ho+Vl5cH9ZpLSkryWMjBZrOhpqYm4PPL7U6U2BzIUcoxpHcmeJ5HmcWGU2Yrko4eh8z7d18QoN9/AIrfDRcf8nePqK6uht1u93jst13bMWOPA+/0EcBaJN88cyKLNwBIaHGP4ADkwWoFeNTgr5mJWKIzirW552kUSEtJ8Nh/Z+8RE3k7/l//NPF69OLtPq+JwPcIGdTjnkPiD8+CY67zM45bDLNZBphd+wj2HlFbuwFlupfh7vHPynwCBQV/bNc9wk0ul/sMawzVPaK11wDdI9r+u93Ze4S3cN0jWkpPT/eId2fyCH/3CH+iOY/w9xoIRx4RTI3wsCTeTqcTJ06cQG1tbZvBGjduXDiaEJSdO3di+vTpkMvlWLduHSZOnAilUomdO3di3rx5uPvuu7Fz506sWrXK7/ZLly7F4sWLw95OQRDgdDrbfF7Lmz0AsZoBY6zN7f39ogVzTH+COV7L9nm3I5ht/bU32G393fDCda6MMfHLWyTa671tsLEJtK+uGJuWMQh2X535PXQfM5j2+dvWn38bzHihvEFMZl/mVeA5Tiy1x0ODeaMn4Nqd25o34nkgM8Njn973CPc5tHxOY10tfvpkLdIyG3AP3sUq9icInAw8c+JuvAdl3U0oKa2BpleG3/ZeynF40WqFYDZgaG46YmN4cBzn8XoPxT0ilQdSY1x/wvztq7Xfw4aC6WjMugxyYwkciTkQ4jOAFvsIJjZ2e0WLpBsABJTpXkZO7jWIi23+hCPYc/WXFIfqddPaa4DuER3btj33CPfvv/v3ORz3iGDa0ZE8oj3bRnMe4e81INXvYUgT77Nnz2LBggUoLCwMqteS47ig3uGGQ11dHW688UZUVVVh165duOSSS8SfTZ06Feeffz6GDBmC1atX44477sCECRN89vHUU09h3rx54vdGozEs48F5nvf7YvD3vJZ69eoFuVwe1DtVfzf9YI7pD8dxQW3r7wXT0XMN9Fiwxw3Xubp7deRy35dasOfamfZ6bxtsbALtqzOxCfe5+tuXTCbz6Vnz1zZ/j3X0XGUyWVB/VIM913K7U0y6AVea98SvZ8X/u/99/fZ7cfHRQ0irqQJ4HrF/meczpjqYczXVVAGMwWpQ4nJhC4bw+1HOMtELOmiFGhQ+VwJbgxwcx+HiW2ai/6ixECoq4Tx3Fv/PkoSXfqqGAA4cE/DIe8tx4+/HIuPOOz16s6LiHqHpDaemNzgA3nsLJjYWSxn8VXUxm894JN7R8Lpp7TVA94jwtpfneZ8e2VDfI4LR2ddNZ+6HHRHqe4S/14BUeQTHgol+EE6dOoXRo0ejoqIiqF8ot2C69MPh448/xh133IH8/Hz89ttvfp8zceJEbNu2DQsWLMALL7zQ5j6NRiM0Gg0MBkOrQ1QIId2Lw2D1rJwRQjtq6zHjwMmgnvtpTjIurCqHMjfH70TGYNRXV2HlA3eBMQbtwDpkj9O5hnoLQMkPGag5niw+l+N53HL1TTAuexmVygTMmvK059AUQcCHm5di1P8r7HB7opXFosPOH8fBM/nmMfqyH2isNyEkoJDV8V6wYAHKy8uRmpqKVatW4ezZs7Db7RAEodUvqZSUuOrJtpYgu8duBjumihDS85j26KFfthtVKw9Bv2w3THuCG38frEC1rP0tPpOYmIyfU/uhSq2BP/XVVSg5fBD11VUBjyfW/uZ41BxPwpGP8yFfE4u0d2So1aWjJKsv6uNc900mCDj91puAIKAsPtUj6QZc5QR1sVqP+t3BCKadUnNXdWmOhGvlTkq6CSGtCdlQk82bN4PjOPzrX//yOywj2vTu7foo8NixYzAYDD4TpOx2O4qKigAAffv2jXj7CCHRz2GworbwRPPS5AyoLTwBVUGyb8+34ZyrlJ02v11VTvzVsn5loGtIW8vHfq+Kw/TXt0NgAM8BS6cPwS0jm+tmH9r6HTa9vwKMMXAch0lzHsKQiZP9HtNd+/vsJ/+H2G9eR86IGnAccAEq8VjBY3iv112Y/MN/MPToXsRaXZP/shqqxMmKbrwgILOxxqd+d2sObf0OO1b9A/HyZDQ4ajHm7rsCtlNq3lVdKOkmhLQlZENN3DNZg5k1Gw0qKyvRt29fmEwm/P73v8fq1avFc7DZbJg3bx7eeecdKBQKHDt2DP36tV1qKtqGmhgMBnEWr/cbCxIZFAPphTMGlpN1qFp5yOfx1HuHICY/qfmBorXNi7ZwvGthnREzXfsIshxdmcXms9CM+7E4BxOTbjcZx2HH/AnI1KjF4SPyWBtUGhusBiUcZhXuffJPSOg7HND09j9cxnAObPlgcC1K7znAY+Sln0CvSMUbr8zHsOLmwt2bf3cb3sgZAYEDeAb8uXQ/bro6F+qpUyEzlSPRXtHqG4/66ipsfvJ1XJQyBRzHgzEBe2u+w5XL/oyEFFrIrKPoPiQtuv7Si6YYhKzHu2/fvjh16lSodhd2aWlpePfdd3HXXXfhs88+w/fff4+RI0dCoVBg7969OHfuHHiex1tvvRVU0h2NzGYznE4nZDKZ5L9oPRXFQHrhjIE8Ve2qptey+4JretytlZUSy0w7PRagOW/QC8jKutnvsfwtNON+7MeTVR5JNwA4GUNxVSMyNWrU6sqQXFArjtdmAlD6QybqPr4PCfH1MF2wCrX70lzn0bS0etzIDKDmpEfSDQByCOhrPgedKh1M0Vw6jItJwg054zCaA85CQB+OR3ru5eAuzQOKPkLCjoV+33i0VPvbWTHpBgCO43GhdjLqTp5FQkpqWMfSd2d0H5IWXX/pRVMMQjbG+5ZbboHFYsGWLVtCtcuwu+OOO7B3717Mnj0bCQkJ2LJlC7755hvI5XLcfvvt2LVrF+bOnSt1MwkhUUquUSF5+gBX8g2ISWswKyXa9HtaJN0AIODosadhseja3Y6+qXHgvSbZyzgOeamuOrNxKbLmSZJw5b7Z43SITbBAh1TU7E3xGS7jMFibF5tpwQEep9W9wTud6F1ZLj7OJ/QCx/FIB48RkCMdPMAA+8ljSNqxsDmBd7/xMJyDtwRlsph0i/vleMQrksM+lp4QQiIhZD3ef/nLX1BYWIg5c+Zg8+bNXWZc9LBhw/CPf/xD6mYQQrqouJEZUBUkB+6JDbBSYj0EBCpHZzcpXL3UmVlBDbHI1KixdPoQLCg8DCdjkHEcXpw+GJkaV887F2MExwMqqxOxZica1TJYVTLsSFfic+cQLC316oNhcJ1Pfm9X7/SGRwHmhAM8Hi94DBWqdDzXUI40Yx2cSQyOXkDGrdfB8TM8ev8FJqDo81eQ0ye4JdoT+mWgAWfAofldBANDbKoWlX87ENxYekIIiWIhS7zVajU2b96Me++9F0OGDMGMGTMwcuRIJCQktLrdzJm+HzcSQkhXIteoAieAGs/kFZwM1sGLYfw/GTCWA7iWY0R4nNl/BlvffyGoSZD11VVign7LyByMK0hDcVUj8lJjxaQbAGLVecjUWXHeiXpxZMzRAXGYG5cMmbUSAgTw4FEBwTVMBDxksfUo1f2KnIGTkZF/CKg5haq4bMxQpOBxtQpZMcNR0v9RnNC9BIChGkvRb+oTUHw1CGCupHtv1beotDBxwqfIa4n2lkNItDcVNE9Y5QDt9AIwm9NzOA/Q/OaAEm9CSBcS0gV0iouLUV5ejsbGRnz00Uf46KOPWn0+x3GUeBNCur8RM4H8K4CaU3Ao+qDynbNQMKDXkdkoP38NwLnGePft8xT+/ew/xbUQGGPYtPJt5A0b4dPzHahKSaZGDbteD9PRg1Dm5UKRkYEYq4DzfmtoOSIG550wQZmtQbmiDm9mrkO+bgZehQ1C089jPl0IedIe8ByPhaMWYvqA6cgA4K7GbbHocEL3MpozYgGnrC8j77p3sfPdz9Fgr4PZWQ9AhU26AZicdRIcBFfSPW252Ntt2qP3SLSTpw9AxvyLPT5BcBisbY+lJ4SQLiBkiffBgwcxfvx4mEwmAIBSqURqaqrfFfsIIaTH0fR2VQ85WQcw18qTSecuR1zVENhjy9HrhsthsFnBWKHHZkwQUKcv80i866urxKQb8EzQndu+h+7ZhYAgADyPzOcWI+nCdHBeBaw4ALl2J8rlcmyMOwwTpsI97YcBMOtuRFzccUBhxOJdi3FZ1mXIiGteBKfRXAx/Q2Vishyosp71WEjtF2MWBs19FbnJTT3dTUl3oHKMGfMv9qgK4x5L752gU283IaSrCVlWvHDhQjQ0NKBfv35YuXIlLr/88qCX3iSEkJ7CuxKKwqqFwqZFXEYeeEc9OI7zSFo5nkdSRpbHPiqPHPZZIZgJAqqOHIbFnXQDgCBA9+xCxK3/GHJw4Fp0GTPwmDHqCez9eQUctlT4zrXnIdhSwSuMEJiA0vpSj8Q7Vp3XtI3nyo0pvYZi0pyHsGnl22CCAI7jcdHvb4cqaxDgtXqlo8oc9BCSNsfSE0JIFxCyxPvHH38Ex3H45JNPcOGFF4Zqt4QQ0q201nubAJVn0srzmHTvgx693XWff466554DBmUDXPPAaY7nEWuxw+K9IrAgoKa4Cj/r+uPKjBPgOUBgwOby/hjT5wZ8238qDpQV475VVWBoORBbAK90rRzJczyyE7I9duteudG7HGJMTCaGTMxE3rARqNOXwS6TQ5Xgv3xXUOUYva4dJdyEkK4sZIl3Y2Mj4uLiKOkmhJA2tNZ76141sk5fhqQMz6omdr0eumcXQi0IGHK2Eof6pAEcB45zJeja84eghuebe7wBgOdhUslxqC4DpxuSkaQ0o86mRoNDhfP0Zci+YCiGZwHapPdRXXcj3L3YqoxC8AojeMawcMCtYm93ywmdra3cmJCSioSUVOj1ejidTr/XgYaQEEJ6mpAl3v3798exY8fEAuVEejExMeJKTUQaFAPpRWsMWuu9dSet3mzFZ8SkOrumHqn1jWhUKjDgpVfQa+KVAIDM5xb7jPGWnT8YHMehwaFCg8N1zJZDWHT/9xHWrtmFatURnItPxdaLa/C/5HrMranDdJMZmTfeCSDwhM7WVtxs6/rTEJLwi9bXQE9B11960RSDkC0Z/8Ybb+Avf/kLvvjiC9x4442h2GWXE21LxhNCug67Xg9b8RmxEkmg5/w28QqfHu3+W7d4bGPX62E7U4JarhHlVWeQOWgETh0/hp/WrAWakuaJt8zE8Bt/77NPLiYJSOiFp26qwqmkOizscxWmX/mquOy89/jze99eTcu5E0JIkELW4/3www/j66+/xp/+9CdkZGRg1KhRodo1IYR0a3Wff+5biWTGDJ/nKTIy/PZoeyfqiowMfPvJS+j77kbEMqCWAz67Wga+F48bd8oQb7VD9fQi1Dk5KPpki0m3Inc0VMPvBMfxeFMv4E1uHRbzm3CZSQ+brsLvhE7viiuEEEICC1ni/cILL2DUqFEoKirCmDFjMGbMGFx88cVtLqDz7LPPhqoJhBDS5bjHbftUIhkzxm/Pt+XqMWgoeA0ZtUDGwOF+n/Pxf9/C8Hc3gm/Kk3kG3PuNExxzgoddfJ7u2YVI+PAdMJ4Dr9SISTcA8ODxsO5WFMUdQWl9KQZl9g2q4kq0aDkWnd4YEEKiRcgS70WLFoFrmmHPGMP27duxY8eONrejxJsQEmkhTcoM54Cak66l4b2WQA9Gy3HbIkGA7UyJT1JdeKIQi3cthsAEMHkKbtc+gVlJVyIrRik+R2/S46v/vo8RDKiM0aAsPhVZDVVIsxh8Dy4IeK7wQcRcxeH+Pb3EpNtNBhl623shOyEbCXGpbVZciRaBxqITQojUQpZ4jxs3Tky8SXSoqKgQJxOkp6dL3ZweiWIgPe8YhDQpK1oLbHgEYALA8a6l4Ud4rsbbcjn0lhMH9SY9Sowl6JMeC/ipRKLMzfHYj96kF5Nuc9zlaND+EW9W8VhRdQSvDszGbVkpAIASYwnKkoFvci/GiuEzwDgeHBPw0IHPMeXMbp9q3Y/824n3ruHx1E1VeFPvWjoeAGSoAseXYtbwa8SKJq1VXHHTGcw4XWVC39Q4ZGrUEX8NtLa4UDS+SYgEug9Ji66/9KIpBiFLvL///vtQ7YqEiCAIAct4kcigGEivZQxCmpQZzjUn3YDr3w2PupaGb2U5dGU2sGXnP/GSbi2qEhh4jsfrD1yPrHf+0+q47RJjCQQmwClLRoP2j65EH64K2o8fL8V4bQKyYpTIScxBTWwy3ho+Q3wO43isGD4DRy84gUe+qYWsxVBtHsCcbwQ8cL9r6fhH9Xcgjv8OyfIV4DiGjO94QCUX31AEqrgCAJ/sKcFThYcgMIDngKXTh+DybCV0BjPKjA6MUCUgUxO6Zd79fXJRqysDYwz1cYmo1aQg2VCNBJOxR49Fp/uQtOj6Sy+aYiDpeu4GgwEajf+FFQghJNTcSVlLHZ4gWHOyOekWd+YEak65lob3txz6F7+i4bunkNtYg7c54L2reWwbBsxL+BrffPUvaCrNUObm+CTdDoMVfWpSkebQ4pyql5hQuzkBnDZbkRWjREZcBu7oPw9/P+H5HMbxGH3rK0gYW4LGp57z+JmMARm1DJvz/ocnrrkHyR+/3bzKpZ83FAB8htjoDGYx6QZci/QsKDyM+0Zn4W87zzUl479i6fQhuGWkZ29+RwT65CI5MwuHBl2Ib8ddD8bz4AQBU7avx5woHYtOCOlZQlbQ8K9//Wu7nm8wGDBp0qRQHZ4QQtqUnJnlMySuwxMEtfk+CTA4GaDtByDAcujgwMe6EnyeuXqatUYGgQk4F2tB3CUX+yTdpj166JfthvDROaz5bQmuqMn2SfhlAPqqm4exzBx+FXivkX8yjsOUghFQDBsM5vVDBqC/nsPCUQvRS24GhwBvKNyK1gLLBwNrprn+LVqL01UmMel2czKGd3ac80nGdQaz94VpVX11FUoOH0R9dZX4vb9PLuqrq1Afl4jvLr8BrKleL+N5fDfuetTHUYlXQoj0QpZ4v/DCC3j33XeDem5DQwOmTJmCffv2herwhBDSpoQU1wRBrikpa88EQb1Jj9263dCb9K4HNL1dY7q5pgXDOBkwbbnYK+xeDr1cxWFzEofNCifKBTuEhgpxn+6eZn9LsgPw6TXnGIcFpTfgYa0g3rxlAF4ZmO0xwTJTo8bS6UMga3qTIeM4vDh9MHZVfIOrd9yBjy73WaUdd3zPcMUJNezOxFbfUPgbYsM2PIp+9iqfZJ+H73sPJ2Mormr0d4n9OrT1O6x84C58tmQBVj5wFw5t/a7VTy5Oma0QvN5cCRyH02Zr0MckhJBwCdlQE5lMhoceegi9evVqdQGdhoYGXHXVVdi9ezeysuijP0JIZAUzQdBby2oiPMdj4aiFmD5gumvcc/4Vrt5gbT+PoRhyjQqbpvXGX38rg+yIARwAjmN4pFcBppzZDQBwckCFVobnhy5Gkj4GjlSrxwRMv73mDJiX0B+zB8XitNmKvmqVR9LtdsvIHIwrSENxVSPyUmPByQ2Y8oXrHE5ncs1DSdwEAWXz5gE8j9xHZyJW95Grp9vrDYW/ITYcc0K2dgtW/W487tl/Bk7GIOM4PHHVQLy08ZhHT7iM45CXGtvmNQcC92zfuuTVgKUNZWpV06L3LY4Jz08ECCFEKiFLvD/44APcdddduP322/Htt99i7NixPs8xmUy45ppr8OOPPyIjIwNbtmwJ1eEJISRorU0Q9NaymggACEzA4l2LcVnWZa5qH5refssIlllseNpQC0VT0g0AjOPw1vAZGFF+HGm2etj/chc+HjgNwicVqGKHxAmYcSNdw03cvebe3dPyxoPIsuYjK7m3axjGb/5LI2Zq1OJkxt26Q+I56JI5CBzEOt8eBAFnlm9G//VbUW8/gzNyOTKzLoR7AIzdmQg5A1p2KjPGwyFkYcD+Gmy/fzTO2BzIS40FU8lw2m7Cv3acAyyC2PMe7ATLQD3bDqslYGnDBACvDszG48dL4YT/TwQIIUQqIUu8Z82aBZ1OhwULFuCGG27ADz/8gAsuuED8eWNjI6699lrs2LED6enp2LJlCwYOHBiqwxNCSFi4q4m0JDABpfWlYpk9f06ZrYDJAe8iqwLHw/n8q+h/UX9w6mTol+32nIBZeAKqgmTINSrINSokTx/QYrgJQ2zj38E+2gjEAYdyHsGmb/eJEwzdy8CLWkyAzEnMAc/xEJiAmkQO713NY843gkeFk+ZGCthycDOebPjIp5ffVmVF5R4NMkcawHGupLvW8SCcSAUYoLUxZOWnYF1ZNR4rKoUgA7jLMzFLpcQjF/RtV1UT95h8fz3b2RcMDfjJxW1ZKRivTWj1EwFCCJFCyMZ4A8D8+fPx0EMPoba2FldddRVKS0sBAGazGdOmTcMPP/yAtLQ0bN68Geedd14oD00IIWGRk5gDJk+BTXUenLJkAAg4JrulfmoVECf3GSnCcUDyyKFQZGQEHEriqGqefBg3MgMZ8y9GTF4JGjY+ifJvD+C39b1w7kQCNm3c4zEMY8v/fYhza9e4NvSaAJlx/DssHLUQfNP47f8Ol+PU6ieQ9cYbnt3XAMDzeKlsrU8vv96khzIvF4biBJz8dgAqrC9Ab12NRmdTHXTO1UtfZrHhseOl4nAPBmCt1QamkrV1uT20NSY/ISUV2RcM9fvpRVaMEqOTEyjpJoRElZCXE3zzzTeh1+vx2WefYcqUKdi0aRNmz56Nbdu2ISUlBZs2bcLgwYNDfVhCCAmLrQYFqrPeAAMHMAGJtf/AsqETWu3tBlyJ36vD8vBElQWyX+rEESP285NwzZFTeNWZjZtT4/0PJUn17BVm5lpUvvkCIPb8cjh9LAUs3yth5jicXvEW0i8bBoWfCZCX3VeEb2/6FgfKiuG0pWBEnz7QaNRgpobmZet5HpZ5s1GlWOuxa7GXP2MkMp9bDN2zC2EsOgDVsMGuuZhNw2TkGhVO1dZ710WBAOC3qgZk9dG2ec1b6siYfEIIiVZhqeP9z3/+E5WVlfj+++9RUFAAs9mM5ORkbNq0CUOHDg3HIYkfiYmJ4kfQRBoUA+l1JgbunlvmHjDC8WjQ3o1Ls88PavvbslIw/vcjsWlUDZ76+QyEWDkQ4+r1ffx4KS4YngbZRDk0W+3gGAcnnHg/5VOc/7+DuO6iW8Qk01Z8pkXS7RJrtYMDa24bADCGWIsVjl93Q+FnAuQDO7chN/5S/HtrNQRW3VxXe8YMxI0ZA9uZEihzc1CdAPBf/NNjiE3LXv6kFs+XaTMBPsFjZc5+fiY48owh7oMjMF3bXxzD3lKgFT6B9o3JJ77oPiQtuv7Si6YYcMx75kqI1NfX4/LLL8eBAweQlJSEzZs3Y8SIEeE4VNQwGo3QaDQwGAxITKSasYR0dTtq6zHjwEmfx78Yno/RyQmd3k9yxVLILUeQak9Cpi0NMVWNOO8XGXhwAMdhctOiMHa9Hr9NvMJzWXmOoXH2Vfh+3wk0DbbGkLOVyK4zof/6j6H4eIJH9REHeIwc/n+o+Z/TY9y5jOOwY/4En7HXASu5BGldWbU4wZFnDAt+seKGc3aAAzLmX+yRXPtb4dNfck4IIV1dh3q8n3vuubafBODiiy/GgQMHMHbsWHz11Vf46quvfJ7z7LPPdqQJhBASNgaDATU1NUiLTwxJabqDRj91q5kTsfUV0BpVMMbW4yRfjxm/9HYl3QDQcjn7jAxxeIe4rPxTf0bcpKlItq1E2fp/I9ZihdrJXMvN9x8OTHsTbMOj4JgTDvB4vOAxlDuSoUSVRzPcdbW9E+/pA6bjsqzLUFpfiuyE7DaH1ni7LSsFo+oZfv73r8huFNDL6l4J0zWG3Z14+13hs8UEU0II6U461OPN83zQ3fVtde07nc72Hj5qUY83IV1fUVERNmzYIN67lFOm4W0z71Ga7raslKD3V2ax4aJdRzzHPDOG3OJCzPi2CDw4CGD4pa8RQ05rfLa/+dkXkX2Ba4ieXa8Xh4OYduxoTsQ5Dtq77oJ25p0eK1/qK4rxwM5tOKXuDZ0qHbA4ofqv3qPHm+eAnfMntqvaSLAcBqtn1RbAp8fbcrIOVSsP+Wybeu8QxOQnhbxNhBAipQ71eI8bNy4qxsmQ1tntdvH/CoVCwpb0XBQD6dmrz4CrOQmmzYciJbfV5xoMBjHpBlwdB7ZvN2Dr/Q+iSq7sUGm6U2arz0RDcBwuOVQr9m7z4DD4dKJrHLdngWzEyZpv04qMDCgyMmDX65uT7qbn1Xz4IbQz7/Q4TEZ6Hm665Do8ftxVYQoqQJZ7CMKZC4CmvvzxI8rDknQDrkWEEq/vB+N/TnkMI2nZkx2wVnlqeNrUE9F9SFp0/aUXTTHoUOL9/fffh7gZJByqq6vhdDohk8mQkUHjJaVAMZBY0VrINzwCjglgHO9a4n3ETHEoiVarhUbT3Mt8rKIKZzUp0DQ2IN5mAeBKvpUNRozu27dDTeinVvmZBOmE1lDj8TwOHPpW1uJ0WpLHmG2VocFnn7biM57jvQFwykSY9hYjfqznEA13Tet9tTrM3zITfGwNhP6JEGyp4JVV2GdugN40VRxK0tokx45ozJMBs3PAG51IL+jts0+fWuV+knPSOXQfkhZdf+lFUwzCUtWEEEIkZzgHNCXdAFz/bngUh8y9ULj5f+JQkmnTpmHEiBGuBV/O1kMYNgYcYxj36wGcpz8DjuOg1bavBF5LWTFKPNtXg8Wnal3LrzMntOVrEGcyAC2ScY7jkFddj7wqAxqVCsTa7FA7GZS5OT77VOblAjwvJt+K3NFQDb8TDTvsaNi522dyYlaMElmZufh10HX48JcPwSuM4BVGAIDAIC4GFK5Jjly8HHzTgkD+xI3MgKogOaQJPyGERKOQLqBDCCGR4DBYYTlZB4fBGvhJNSc9qnoAAJgT+zZ95jGUZMOGDTheWe254AvH4YeCYTCp1Jg2bZpHr3hH3JfXDy9knkVyxVJoy/4Mhf2/SL9hrDisRADDzsHVqP3TVKidDCkmS/NEST+9M4qmyZbgeXAxSVANvxNc08I47smJ/q7N7efdDt7rtu8uExhokmOr1ziAMosNO2rrUWaxBb2NXKNCTH4SJd2EkG6NerwJIV1K0L2y2nyA4z2Sb8bxqGGeSTRjDIcqa3zGYTOOx4jxEzDAT49zR8xMvgSTeylRruXRJ38YAOBG46eIN/EwxjrQqHZiHvc1vvnqX9BUmqHMzfGbdLu5a2mb9hajYYfd84cMqPtiI1L/eL3HwxlxGVh42UKfMoEZcRmwnKwLuIpme5LhdWXNb2J4AH/NTMR1CZRME0II0MEe71deeQVms7ntJ7bD3r178c0334R0n4SQ7qVdvbKa3q6Sek09wYzjYb5yGeo5z4pDHMdhSJrW52bICQKOr1yOlQ/chUNbvwPQsZ5cAKj7/HP8NvEKNMydh7g/zEPMNztQYixBQ4wd+hQrGtWu6k4CE3Au1oK4Sy5uNel2U2RkIH7s7wCvue5McKLq7Zdh1+t9tpk+YDq+velbrJ6yGt/e9K1Ym1ueqgbjPDNvxrF2TXL0XipeALBEZ0S5vftUryKEkM7oUOL95JNPol+/fnjjjTdQV1fXqQbs2LEDU6dOxSWXXII9e/Z0al+EkO7NUWUO2Cvr14iZqLx9Gyqv/RCVt29D7Og/Ydq0aWJVJvcY74FpKXh1YDZkTZtxgoDJP/wHCSYjWFM97dUnzuCiXUcw48BJXLTrCNaVVXscqr66CiWHD6K+2rNOtk8FEkGA7tmF6GNWg+f8D/sIht6kx27dblTJaxE7TAYmuJJbJjhh/fmfYI01sJ0p8bttRlwGRmaM9KjNXSWvxVsZ6+CEaz9OOPFWxjpUyWuDag/gv4KLAKCUEm9CCAHQwaEmCxYswBtvvIHHHnsMCxYswLXXXotbb70VY8eORXp6eqvb2u12HDhwAOvXr8e6detQXFwMxhguvvhi3HDDDR1pDiGkh/BXeo5xgFVmRgyS/G4jxGfAqU6DTOZKq0eMGIH8/Hyfqibu6h8/HTmKn99+FQkmo7gPozoer56t9ejJffx4KcZrE5AVo8Shrd9h0/srxAmbk5pWnAT8VyCBICDu+Dm8FHcnXtKtRVUC8xj20RbvVSWXDHgUBS9/AD42FUJDBZilDuB5vxMzAykxlmBj0k7sjfsFmbY06JSVqFLU4eamiZfB8LtUPIBshSzAFoQQ0rN0KPF+/vnncd9992HBggVYt24dCgsL8eWXXwIAsrOzMWzYMKSlpUGr1UKlUqG2thY1NTU4deoUfv75Z9hsro9pGWPIz8/HkiVL8Ic//CF0Z0UI6Za8S88JTMDeym9RPP+QR7LbFo1G43fCZFaMElfm9sbpxnqPjvXapDSfnlwngN/O6SA79Ss2rVrhMWFz08q3oTpvKCpi4hCnVUPJAXyLHZYnabH/3Q/Qp1yHvxmdsPzlLmT+4Y6gEly9SS8m3YDrGvz1xHKs/8vDaHzh9eaVLQNMzAwkJzEHPMejSlGHKkUdgPb1wAOu6/fqwGxxqXgZgGcyE9GLEm9CCAHQicmVvXv3xpo1a7B06VK8//77WL16Nc6ePYuSkhKUlJT4XWDH/YdJLpfj2muvxZ/+9CdMmTKFFuMhhAQtbmQGHGkM6xctQb2tFmZnPQA0L6+ektqp/SekpGLSnIewaeXbYIIAjudx/dRp+AxePbmMgd15O05YTWD9e3vs4+eC3+HVY3oIADgwXDhnApa9vw0yBnw1ejzeuO1eCDwPThDw+81fY8aq/2DwtXcAcc37sOv1sBWfgTIv1yOBLjGWiEm3W5LBier+cpz3r39BMLc9MdOfjLgMLBzlf+Jle7g/OThttqKvWgW+rqZbrVBMCCGd0emqJllZWVi0aBEWLVqEw4cP44cffsBPP/2EsrIyVFZWwmKxICUlBWlpaTj//PMxbtw4jB49GgkJCaFoPyGkBzI0VKLC7Dl+mQkC6vRlnU68AWDIxMnondUHVYcOIXXIEGgHnY9Xy6rFnlweDH/++H2k11TDrJB5rDhZH5eI78Zd32L+J4e9w+7GnIcPI93A8L+L73VVWwHAeB6fTp6Gz668Fk8fO46LWQlyEnMQ802L5eCbeq+TZswAAPxP9z+Ptk74WcCfvhHAs2Uobnpu3CUXd+i8pw+YjsuyLkNpfSmyE7LbnXS7ZcUoxRU+W07vDPXiPIQQ0tVwzN0NTTrNaDRCo9HAYDAgMTGx7Q3CrGUvk3t8K4ksikF41FdXYeUDd6Hl7Yvjedz79mqfxLsjMaj7/HOceu45NCpkiLU70e/ZZ5E0YwbKLDbsq9Vh9Zo78eKHleLzS7UJONQnDeA4lPTuh0+m/dFnn8kVSyEwBkOvBf4PypzQlv0Zverq8M47DnAtb808j/5bt+CfVd/g9X2viw9rjQzv/8OGmHgHbPVyOMwy8bnt7fEOF/f1b9xbDsO/T4Z8cR7SNroPSYuuv/SiKQZUx7sbk/qXi1AMwsXfcJBJ9z4oJt2BloQPhl2vx+43XsGhQdni0u1Vb7yCCWPGICsjA2dRjpq4Gggtxm1n19QjpcGMhqWP41+6Na7a4S0qlvAA/jX5dZQ1lOHu3+AzXhwAwMnglPdCr5pqz6QbAAQB+uMH8EbxGx4P31bTgIJpte5mQrdHA8OpONjOlERN4i2TyeAwWJuTbkAsA6kqSKae7wig+5C06PpLL5piQIk3ISSqBRqeMGTiZOQNG4E6fRmSMrLEpLuoqAgbNmzwWRI+WCV792L/gL7g7VbwDjvAcTjUOxXDDh9Gr4wM5CTmoE4jw3tXM8z5RoCMAU4OWHOlgG1VrwAKIL5mNRq0d4lLxD+QxTAsuTeGJffGqzLPVTJFzAmZoxy6ZM4jqQcA8Dz0yQArbn6wl8OBe1ite4QLOA7IvMiA6up4lNsakVZdFZJhN6HQWhlISrwJIT0JJd6EkKjV1iqVCSmpHsmlwWAQk26geUn4/Pz8oHq+i4qKsGHvXrC8QQBjUOnOQGmoAjgOjSrX7VKchIjF+LmvExm1DPpkDjWJzZPE1ab/Qmk5CKe8FxTOStx9yb/En7knH35wthLvlla6EnDmRHzNPyBz1qImkcPKq2X400bmMcbbkj8c/AFenFiZIbsAMpR5tJ/jgaPnp6D07Vd9yhpKyV8ZSHBo1+I8hBDSHXRoAR3SNZhMJjQ0NMBkMkndlB6LYtBx7VqlsklNTY2YdDcoY3AuKRX1ChXOnTvXZgx+0/+G9RvWN+eGHAdrZi4EuQIcxyH1/MHic92rP9498QkcyeU9km43mbMWSusx3Nxvos8kxbS6Gvyl6iz+1z8NXwzPxwuZZxHXuB2Aq4TfuPueQ/+tW5CzZg36b92CpBkzxISf53g4Zcn4pde9cHrdwgXGodYW47pcTWUNvRf0iTSTyQSLzI7Ya3OaV9hsehNFvd2RQfchadH1l140xYB6vLux+vp6OJ1OyGQyxMXFtb0BCTmKQcd1ZHiCVqsFx3E40isHPxQMB+M4cIwhy8JwW319wBgUnijERxvexjA2zvMHHAemUmPSHbN9hm1kxGVgct5kvLbvNZ/yfi198esXGJw6WFyave7zzz0qllzw3GKMnjED1+Zc4lNNxHuctrvqyNf6s3i6RI7HCh7DK7++CjkEOMDjM/MlaHA039ZDWemlo8TXQH8VMuZfTFVNJED3IWnR9ZdeNMWAerwJIVFJHJ7QEgdwysCTZDQaDUZdO01MugGAcRxerbNBp6vwu43epMcPf38Wf/7c4pqh2PJwHIc7Fr4YcLhGy15oN8GeCIepHwS7q7KRAAGLdy2G3qQPuHy8Xa/3u4x7oGNe3XsoeAD/l3ktRl76CaYPW45LLv0Ev1aneLaf55GUkdXq/iJJrlEhJj+Jkm5CSI9FiTchJCq5V6n0SL4ZUPm3AzDt0QfcLjZ/gJh0uwkch2OLnkPd55/7PP/coZ8x6ezF2DppkljFJBH16ItSTL/yUmTl5rXazukDpuOlsS8BAGx1F8H023yYS+bA9Nt82Oouch2fCSitLw24fLztTIn3bgPSm/Q4W3sAf+2bCBkAnSodPyX9Dn8ZeiGm3z4LHO+6rXtXeiGEECI9GmoCwGaz4d1338Wnn36KI0eOoLGxEampqRgyZAhmz56NW265ReomEtJj6E16lBhdC8lkjMyAPCMOle8caH5CG6Xo+qlV4OG1yqTTid7lOuieXYi4MWPEIRymPXrE/ZvD3vOaxx//jvsF09hm8BwDNhcC6jeBETPFffmrsjI8fTjgSIJVNx3N/Rk8rLrpkMf9CrmyAdkJ2VDmAeB5QBBQGaNBWXwqshpr0D83J6hrU3ii0GNlyedGPodBGRPRV61yLViT5b/SCyGEkOjQ4cTbXSO3qzt79iymTJmCI0eOIDU1FaNHj0ZcXBxKS0vxww8/IC4ujhJvQsKoodaCugozktLV+K7q//ksWX4NP9F3o1bGemfFKPHqwGw8drwEAjjwTifmrfsAaXU1ACDWuHYYrDhbeAinZRVgTUl3IuoxDU1JN+Cqx73hUSD/CujlMlT9eBpJWx0+VVYy4jJwR/95+PsJ7w8RecCehoWX/8U1hCQOyHxuMT784Cu8OewmMI4HD4alpTbc0kbZbb1JL14bwNWL/taeZ/HtTZcgI6Z5JWDvSi/hVmax4ZTZin7u5J8QQkhAHU68Bw8ejFWrVuHqq68OZXsiymw2Y9KkSTh27BgWLVqEBQsWQKFQiD9vbGzEr7/+KmELCenejuwsw/f/POYaWs0B/+23EUJ6c2K5eNdijJo0st2l6G7LSsEYpwU7H3gYvSv0YtINjoOyqXd536492Kjc6Uq6m46vRR147xmdzIlv9r2Dl0/twJrflkDs0fbqeZ85/Cq8t3ErhJYLTnLA/93wFoZmNvdomyddi7f2qcXh5AI4LCg8jHEFacjUBD6nEmOJzyRO9xCWji7t3lnrypprkvMAXh2YjduyUtrajBBCeqwOj/HW6/WYOnUq5syZExXlWTpi6dKlOHbsGObMmYOFCxd6JN0AEBsbi+HDh0vTOEK6uYZaS3PSDQAMGHvyZsRZm+ttC0zAWU7vOdY7QCm6+uoqlBw+KJbPy1TIMPzE0eakuwWDwYCNP20Re7rdiX0NkiDAd3z4a6e/RJYtDbz3LbOp5x0AMjVqLJ0+BLKm8eU8BywaFo/zOM9e4NNVJo/kHACcjKG4qjHwxQKQk5jjMYnTdQwe2QnZrW4XLmUWm8dCQAKAx4+Xosxik6Q9hBDSFXS4x3vGjBn4/PPPsWrVKmzduhX/+Mc/MHbs2FC2Lazsdjv+/ve/AwAef/xxiVtDSNfRmeXYW6qrMHsXEQEPHhpLGkwqg+v7psQybmQGVAXJAUvRHdr6HTa9v0JcrXLSnIfQL1YjVimpTNLibHoG+lTokXOmBDXpaWK9bxEHXHjeZFj6FCB281MAc4JxPJYmaFEul8PJKiBA8Ey+vXrebxmZg3EFaTj8xTdQvf0q0r6sxW88D8u82ci89U5kxGWgb2oceA4eybeM45CXGtvq9RIX7vEaiiNVb/cps9Vn9U0ngNNmKw05IYSQADqceH/66af4v//7Pzz00EM4deoUJkyYgEcffRQvvvgilMrov+kWFRWhqqoKWVlZ6N+/Pw4dOoTCwkKUlZUhOTkZY8eOxdVXXw2ep8IvhLh1djn2lpLS1e4iIs04hnp1NQBXEv7IsKfExFKuUfkd011fXSUm3f+/vTuPj6K+Hz/+mtnc1yabkAtCgCCnqOSHIKeIeBe1autFEdRqq22loBavIrXWKmrxqPUoKlSsB2q/oFUBFRBBhYIoYhAhQCQJIdfm2s2xM78/lt3sZjfJ5pxN8n724aPsMbOfnU928t5P3vN+Q2PjmLmL/wqKwnsTz+Txa3+JpqqomsbD5nguPlHv2zP4VhSF084/gyjzeXxXEcc3bz5DWW0EYQ1hnDSmlP0Z5TyR9iq/K7gaEyZ0Rcd0UYp7THZ7ATW2Q8RWRTPg0fu8SgaGPvYiV9v/xW/Pu5/LTrqMhy4bw91v78Gh65gUhb9cdnKLaSYurjreTet9GyGmQffJADIBgyOlVKAQQjSnQ1VNrr76as466yxuvPFG/vvf//K3v/2NDz/8kJUrVzJ27NjOGmOX+PrrrwEYMGAAixYt4pFHHvH6Jfzwww8zduxY/vOf/zBwYGAVB4JNSEgIqqrKlwcD9aY56Gg79qZiEiKYPnsEG1floGvOdufTrx1JmLKMhz/agqM2iT/nxBJespupyQoJaf6rdJQV5PusXuuahvV4EcfjLe6gG0BTVRYVVHD2oAHMmjXL50uE2WymsqSY91e8iq4735MKTPzGwtEkG+vit7Izei9pdf0oCDtO6cEKFqcs5ozoBr7LuQfQ0HWF+DNUorc21hs36ZBc6mDJtiVMSp/kXhk/VFzDoKSogIJu93trMFNfHYIeaVwTiNe3H+Gut7/BlB5Fw+h4UBRMwNLhGT6r3b3pM9BTyRwYS46/8YJpDjpcTjA1NZV3332X5cuXs3DhQr799lvOOOMM7rnnHu69996geJP+lJQ4V9V27drFl19+ya233srvfvc7UlNT3bd37drFRRddxM6dO33yvwFqa2uprW1sX11RUdElY62qqqKqqqrV54WGhpKY2HhhU1JSEiUlJdTX11NY2HzdY4CYmBhiYmLctzVNo6jIf8ORpiwWi9dfOex2O+Xl5a1upygKKSkpXvdZrVZsNlur20ZERBAfH+91X1FREVrTGsl+xMXFERXV+Gf9+vp6989Da/r164fJ1BhQVVdXU1lZ2ep2/j4HpaWl1NW1ng8bFRVFXFyc132tzadLQkIC4eGNK5C1tbWUlZUFtG1MeLy72khMQgR5eXm+Aa6u88MPP9C/f3/3fWFhYT4Vj4qLi2loaPB5DUuWyvm3nUR1aR3RljD0uHAeerIATc8CYGTld+Q/9yxvooOiMOHKOQyd6J3S1hASQtOlc0VVCamo4sd+Ke6g28UB/O9oAaenp3PttddSWVnJkCFD3F8e/AXyKgpxNSHURDooDi2nOLT8xAGAZV8uZnGaHVcBQ0XRsV7tIGKviqncme/tUKAwQUHTNXYf3g0WSIiPJy2r8fNaV1dHaalvPrqnNXuK+etHh9F0Zw75Q5eN4crTB7b7HAG4zxGtcZ0jCqw27nr7GzQdQo7WYCq2Q3QIL846idGq/3ONnCNaP0eEhISQlOT9xbKzzxGapvnc35FzRGqTzqoVFRXU1LR8rQK07RzRVGxsrFfnQYfDwfHjxwMab2Jiok8BhUB+b6uqSnJystd95eXl2O32VreNjIz0mddjx475prr5ER8fT0REhPt2IOcIl+TkZK/fO915jnAJxjjC8zPQFeeIpp8JfzqtjvcNN9zAzJkzuf766/nkk09YsmQJzzzzjNfAmlIUhQMHDnTWENrE9UNfX1/P1VdfzdNPP+1+bObMmaxfv57hw4ezZ88eXnvtNX7xi1/47OOhhx5iyZIlXT5WTdNwOBytPs/zZN/Wbf39oAWynT+6rge0rdKkyYlrHO0db6Db+jvhdfV79Rd4d8d4/QXKgWx7aFc5u9/bi+6Md5k+ewTxmfF+0zNiYmK89tnWuQmPUdE0ExXFdo6V1btzn6MbqjireFNjlRFd58vX/0XKsJFExSc0bh9r5vSfzWbH6lXomuZuHBM3aCgDiotQNc0r+FbR6W9ScDgcREZGEhMT47Vin5CW7vM+NXQqovwHBYkmBzTNdjZBXbJOZLmCQ4H3xp+44BKVlPAUHA5Hm+e1qKrOHXSDM0fcVQ0lWum+c0TTi0OVWg1q66ipsOOI812g8EfOEb562jmiuX31xrnxp6O/WwMJvDvzvUoc4cuon8NObaCTmZnJqlWrGD9+PEePHm31m46/A9ZdYmMb697efPPNPo8PHDiQiy66iLfeeosNGzb4DbzvuusuFixY4L5dUVFBRkbnVxhQVdXvh8Hf8zpz20C280dRlIC29Tf/HX2vgY6vqa5+rx2Zm46Mt+m2gYy3xlrPV+8dwyPeZeOqHH666BSmTZvG5s2b3ekZ06ZN80kzaet7zd1Zxs61Be6SfqdEmvg6zEF8vdWntJ+ua9SUFvuknAybfCYnT55Gdclxd+OYmpoaMm+Yy4JX/8nj19yIpqoousa073dTekQldWw2anI/n/HGJiYxefYNbHllOeg6GjrbxpRSE+n/pFriMEGTlj2aDn+8IIQpCTqzvtC5+Audn3zpIPeGc9x52S3N67F6B0fqGhgYFkJKqPO+/IqGZquhjEkJb3Fea8pLqThehCWtP/Tr5/VYWz9z/i4OVRXItES16edSzhHeetI5oqV9BfN79bcvo363BhJ4d+Z7lTjCl1HnCEUPZPYD9NZbb/HrX//a/Se5Sy65pNXcz5deeqmzXr5N/vvf/3LRRRcBcOTIEb8B85133snSpUs555xzWLduXav7rKiowGw2Y7Vaff7sJ0RP8eO+Mv7vb7t87r/092PpPzyhzVVN6gsLqTt0mLBBme6OkS5VZXZW3r2VcCDGpFDl0LEDz8fZaXBUMjfvFa/gW1FVfvn0i21qEFPyww/89Y3VlEfGYLZVEVNnR9E0fvLef8m6axHxV1wBNOmYGZ3Kwby9/Gr1XKyRdc0G3QoK90+63zvHG4U3SsPYV6DyzDMOVM8zrKoy9OOPfI6Dp+ZqYxdYbUz+68c+1VDeuW0Udr3IPe6m/FV8GTPj3ICPnz+vbz/ic3Holaf3zGthhBCiO3XKirfVauXWW2/l3//+N7quk5GRwUsvvcSMGX46zgWJ7Oxs95+Ti4uL/QbexcXOesCeOUs9SWlpKZqmoapqr+gy2hP1xDnwV21EUcGc7LwA0Gw2B3wxZfnq1RT8cbGzwoeqkvanJe5AN99ex5d5ZUTHqsxQVPfn8Subg39dmU21ORRHTjRfvvK8VwpJS0G3vy8FP1ZXE11nJ7quMR9TV1WqoqPcLeTXVm71KtP3u9P/xPDUGVx5/j08uf2PoDuDbAAdHVVRmTNqDjOzrqKSOIgMZ/KkqeRaD1NAGreGheD4fAOq/lfvAWqau3OmP83Vxp5uiSX9RJ1wz4D3Z2cd5Rfr7vIqL3jZSZe599dcxZdBp2Z3qLtlWy4O7Ymfgd5G5sBYcvyNF0xz0OHA+8MPP+TGG28kP995QdJ1113HE088EfQrvqmpqUyZMoVPP/2UDRs2+FRhqa+vZ9OmTQCMHz/eiCF2WF1dHQ6Ho91/6hEd1xPnwH+1kRHEJES0vrGH+sLCxqAbQNPcge6bWmjjqu75Zu7+tpZLj9ajKAqnRpqIT4wiLjMOsn7CqWecQXlhvjuFxIf1KJQe4Jt8G29v+NyrSsmY9HTCc3N9NlE0jZjKKtA0Cvd9xZLDja3Yq6Omck9BBhQeQCWTP4xeyaiafWQNOpkoi8Vdyu9jaygXfJWHxnFU4IqUBFYfi0CjDBV4ePBUxqmPNL5/AFV1d870p7Xa2J4Bb3R0pTvohsZOn5PSJ7lXvpur+FJemN/htvJp5siAqrH0xM9AbyNzYCw5/sYLpjlod+BdU1PDwoULef7559F1nX79+vH8889zySWXdOb4utTixYuZOXMmDz30EFOnTuWMM84AoKGhgYULF3Lw4EFiY2OZN2+ewSMVwaqypJiygvxmS931VKMmpzNwlAVrkQ3ziaombVV36LB30AmgaRzOPcLt9rDGVV1F4S+jw5lY3EBKrY6qKIQ1NG4Xm5jU/LHduRLW3ga6xmgUDjKTXZzsLHW4Zg362neJqq5m3JDBbD99HIqiomga43bsIMpmQ1dVciLL3cGrw5RAleV657cNnCvOD1s1HnhnH98c/xfn3PRbTp9x7omV6b1eK9NvHGusBKEBiwoq+OjPf6bm/sXUhJqIqncw5I9/bDHNZEhkeJNscd/a2K6A98uCA622kPd3oaiiqsSnpjc7BiGEEF2n3YH3KaecQm5uLrqu89Of/pTnnnvOp2ROsDv77LN54IEHuO+++5g6dSrjx48nNTWVnTt3cujQISIjI/n3v//tU6pGCOia3NlgEpMQ0WLA3TQnuqmwQZmgqj4rvkeTU9COeJcr0xSFvCiVlFpnLrVnN8hmWY+6g25wViuZxQYOkEkFsehAVXQUUdXVZB3MJbmwkP9MieXSLZXE1thwKPD8+bDpu4dQUNDRcYSkuoNuz7FZBpxFbcled5rGQTXcZ2W6KQewIz6eolGZ7p+RUEsc8S1skx4RxqPDM7hjXx4OaLY2NjS2kPcMvpu2kI9NTOKcm37L+hee9krXATiy5+te94VRCCGCXbsD74MHD2I2m3nyySf9VvzoKe69917Gjx/PsmXL+OKLL9i+fTupqanMnTuXP/zhD4wYMcLoIYog1FW5sz3F2/vf9mld7plbDBCamkran5b45HiHxFhQ9FJ0j6vCVV0no+ZEABlosaPSA+6g270fdCyUU0FsYzrJCbE1Ng4k1XLHPIXUMpXCBIXSOAXQUE78z9RQiDu/xmNsA2ugMjQem72S8sJ8hmSN8FmZbkoFDqz6JzFt/Bm5Jj2R6ZZYcm21DI4Mb7b9eqAt5MfMOJdBp2a703UO7d7JC7fO67VfGIUQIpi1O/CeOXMmL774IgMGDOjM8Rji3HPP5dxz5RePCFxX5s4Gu8LqQnewB/5zi13ir7iC6ClTqDt8hLDMgYSmplK1r4yLtlfz3rhodFVB1XXu/raWlFpX/UJoKLb5bQ/vxZLlDJA9gm8NhVKc9cbH/e9/RHk0UXA1sSmNcwXcjXR07p70ODVqAsdt0TxZVIOmNI6tn91BVX25O00j1s/K9OUpCbx1rMx9e1GMQl2V1ft1NI3yA18Tm9jyhefpEWHNBtyeAm0h70rX6etfGIUQwmjtDrwDKa8nRG/V03Nn8+11HLTVMqSFFdXmHKk40mpusUthdSFH9COED+tPUUUD8bt3kxGbxNjcWrIK66mKNfFTFFI9m/MpAaaamPvDrCdg7XzQHaCYsM98iJ+mn4vFYkFfv95rtT3nummUx23F3zp1iOlMFv6YhIaCio07w2MZ9FkRkQ061Sad9TWbsevVXlVVLtz6CQMef4Kjif3oX3KcUxbcxqKfXOxeqY6truCFpj8j6MSvuRpClkL2nEAPeYtSo1ObDbib6stfGIUQIhh0agMdIfqK5nJne0Lw0lyd6EAFklsMjeko1VFT3RcsKprGeW8/z4VH9kPGPOJsOgWhkBJlQlFUUCDhspNaX+12yZ4DWWdD6UGwDCHK3J/BJx4qvGAKVcMeIzK3nJDkTFIdDv4eeS2aWeOA/QDLdi5D0zUm7ktg7dnXo5/IcdGAR+oqueuSQTyUX4QGKKf/hPssl5M4YihbyioZWFVB9R8X00/T6FfqLDta8MfFDJ0yhXTXxZMRTX5G0DknbT+xIXbnl4Wss2kgybm6nxQZ+HvugJ7+hVEIIXo6CbyFaKemubM9IehusU50gCvfgeQWu9JR6lWzV5UQXVX5cNolDDqylPN23I8emkik7TjVCqgxyfS7/RaiTw9s9dbN3N/5n4c1215i9X+foCosBDV6ACfvOs3r8YsvvpgPL/+QHw/sJmfdC6xp0q1MQ+Ev+UXu1j26ovCnEjsPbP0WXVFQ0VlwxjQu2rrRYyPfGt1jZpzLIEs95at+TXyYjdjQE0v7uoPqrQcp23zQ3bEz4bKT2v7e26gnf2EUQojeQAJvITqgxVJ3Qai1OtGBai232JWO4q9KiK6qlMUn4SCHxPJS532Aw16OGh54I90Ga63f1eLDq5YT/vfnOHVAf7TQMKqHnuJzwebatWuZnzWfkTXxlOlHUXQN3WOcTW8DoDb20NRQePyaGxm/92v6nXgPzdXojh18GrExlV656A0kU7b5xBs/cQDK3t5P+LCELl/57olfGIUQoreQwLsXi4qKclcuEMYItjkIpE50oFrKLXalo/irEqJoGmH1tXyfOZSh+fmNgauiEDX2tFZft76wkMqNB6nZ7fBZLa4vLKT44WXsGTEQFAUtLAL8HHtd1yktLSUuKZGQChM36s+ynJvRFBOq7uBKVvE6v0BrocSKZjJxNCXNOf4TFVv81uj2k4veMOFB2Nh0UAFeVNoJuvMLY7B9BvoimQNjyfE3XjDNgaI3vdJGtFtFRQVmsxmr1Rr0nTtF3/VqfolPnei25HgHyjvHex4oJhRNY9T3X/Ht8NNAUVE1jQWrXuCizzd7tZN3qS8spCQnh8rYWJKHDkVfv57Cv/yN6HP+4swJd1EgddF4ar/7il23/oovhjpTT8LCEygZPMQn+FYUhZkzZ7JhwwZ0XSclZT+Wk76nSE0jRS9kysjb+aB6AvccKUF31SJXFK/9mIBtQ/uRmH/UXbGlRdaj7lz0BpIo/OuXjSveHu+hOwJvIYQQxpDAuxNJ4C16inx7Xat1ojtDYXUheZV5hIWns7+ojMN5X7NUHeGdfqI7eH9AKGOHnQKA1WqltLSUkM8/5+tXXmH7uHHugPfUr3YzulgnaspCn9dK+uUYTNF2vjn3XD4ZkcHg2FM5Pek8vg8p5NOQ79zpJk2DbpfwsGquvvgMUodOIiIiDYCPP97AmnfXEF9ezKGBw1g37RI0RemULyzV2wspe3t/t+Z4CyGEMJakmgjRBzRtbR9oneiOcqWjvL3/bR74Ygn2sOGQcrf3kxQTu0x1jAV27tzJ2rVrnQGxroNH0A2w+9RT4Nt9jNM1nxVvZ653PEP++EfK/v48wwafh6KoDHekM8BhoVC1knDpUDKHD6a0tNSnrF5tXTR6dLY76AaYMWMmp596mjsfujI6rtO+sESfnkr4sIRurWoihBDCWBJ4C9HLtdbavmlQ3tmKCr/ivx8vol+IiXzVN+cb3cH/s6RhtVobg27wm5uNorB71DCG7HoVy8irUVSTTwlC+wVTeOvQv7m7uPE1ookgS4sgKXEQEWbziV01KaunKFgsFp+X9MyHjoVO/cISYg6XgFsIIfoQCbx7scLCQhwOByaTidTW8k9FlzB6DlrrVNhaUN5hO1fSb+1t/FPXcACPx4XyUti/KE2aDYoJdAdXmPIZpA71uwrtl6pSbv2O8A33kPSbO4m//Hyv4DXvwFc4qgrR0FBpDL51RXc35jGbzcyaNcsd6CuKwqxZszCfCMo9daTZkDD+MyBkDowmx994wTQHEngL0Yu11KkQ6Nr24dajsPY2lBNl9EzAwoojqHsV1qf+jQlZP6Vmxw9E19pYtnEnM2fO9FmF9ndRo6IoDP/TAySOGO5zQWP56tXE/HEx8zUNe+a/iDhtNqpiwoFGycga4hsqicUZpGdnZ5OVlUVpaSkWi8UddHsG2htLKzvUbEgIIYTwJIG3EL2Yv06FKAoh4RGd2j7cdUGkZwBL6QGv2tUAKjqJWDnj2FAo/IZo1+vqOhs2bCDh5ASKvylGRUVD4/vYncRXh5DKaSeG7lyZTs3ObjKAozT8sJ3jD90DmnOV23H4MyqLvuX1C4aQckjDnlvJxv96r+qbzWaiiaCh2EYDtbxRXeUOtF2hfmPt7rY3G+ooWW0XQojeRQJvIXqxpp0KAdB1/n3vQqZeM7dT2od7XhDpCoyzs7PBkuXM5fYIvjUUSon3LqOHa1g67xx/h+qMaqLro6kOrcYWYkNVVN4691FMNpN3YO8ewEpYexshusbQn0DBdjPWg86QvrahkrgDVuwer+G5qu9ZWeRYhMLtZ8a4a5z7S3ppS7OhjgbNr+aXyGq7EEL0MmrrTxFC9GRjZpzL1Q886pWuoes6n/57hTP4PtEuvT3tw5teEKnrOmvXrsVqtbobx+iKCXAG3WuZSQWxfpsYaGjuYLs4stgddC+euJihqUMZPHiwb9B9Ip3FFdwrCqSNsxIS6QCgMjzMpwWOa1W/wVrbWM4PyItSfbp6NhVos6FX80sYt20vV3x1gHHb9vJqfkmr23jKt9e5g25oXG3Pt9e1aT9CCCGCi6x4C9EH1NvtzvJ8HnRNIzXrJH759Ivtbh/+46Fc33SVE10hzWYzZM9ByTqb77/4kHe37qWCGPeqOOAO2jU0diXtwhZic+/nztPv5JzMc5rtjglQkreXxCbpLIoKYbENlCmxvD3mPNLrcghpqPN43Lmq31Bs81rWzqjWUHUdrYXOZvcMSWt19bq5oLktKSoHbbU+XwLastouhBAiOEngLUQf4C/X2xWAtrd9+Dcfr+ODF5+FrDE+Fz+6yvIVVhdypOYoAydfyA0TLvfJA8/KyuKH/B+4Zdst1Jhq3PuIsYcypiaDaHsI7kTwJl7ffoQn3i7g0zAFk9L4vnRF5fPLf8veUisJCtTopxBReIiw8mKvVf2KqgpnIveJTVNqde7eW8tDoyNwNPOeT42LavW4dEbQPCQyHBW89hPoarsQQojgJakmQvQBrlzvjqSVeKosKWbd80+h1tcRXnDYvZruWZbv7f1vc95b53HDuhs4763z+KjoI590EbPZzP8b+f/4w9Q/oJ6o7T0sL5YrPunPR0sf5YVb5/HNx+t8Xr/AauOut78hX0/kroYbadCd2+qKCdvMv5JTXuH+LqAoUJc+mMk3/oZfPv0iY2acy97P8nnlrzvYVd2A5q4bDvMmDGL7xFE8PyrT5+QYaODrCprbs61LekQYjw7PwOSx/dLhGbLaLYQQPZyseAvRR4yZcS6DTs1ud1qJpwO5e9zBdki1FeXoQUBn+tzZZGdnU1hdyJJtS9BOpIFousaSbUuYlD7Jb+rIZSddxqT0SfyQ9y1fvL/MvW/XxZDhI0+hKCLafaFibnE12ol4+Q3HWWx2nMIg9Rh3XHUBlthodH2F1/51XSfU0o/YxCSqyuxsfCUHXYcjdTpF9Q3EhChccPv/Izozjmjg4ogwqhwad+zLw0HbAl9X0NyebT1dk57IdEtsp3XKFEIIYTwJvIUIYlVldsqLbMQnRxKTENHh/bU3raSpyugGNHQazP2oTct0LivrOoetJZwBHKk44g66XTRdI68yr9mc7dToVOoaiviiSc747mFjeTSn0Ku6x1lJ0agK7uC7kESO60mkZ2YRRZ3frpSulfbyIptXurtdB3u9TqXdQZzH63Yk8O2soDk9IkwCbiGE6EUk8O7FEhIS3CXehDE6Mgd7P8t3r8wqCkyfPYJRk9tW6q+zNC2Nd9LAk3n65BpGNmTimdORs+MHCqM3MmBgIqqiegXfqqKSEZsBNFP3G99c9MroONZNu8Snlvb2iaN46LIx3P32Hhy6jklR+MtlJ5NmjgQifbpSnn/++WRkOF87PjnS9T3BTVHBnBzp8747EvhK0Owk5yHjyRwYS46/8YJpDiTw7sXCw+VCLKO1dw480yHAGSRuXJXDwFGWVle+mwtq28t/PelULpo+j4MfHfR6bqxewbHHFxB1tJrHr7+cBbHvoekaCgpzRs0BWqj7jXNFfvx1c/hixUrQdcri+6Gr3hnTrgsVrzx9INOG9eNQcQ2DkqJOBN1OzXWlBIhJiGD67BFsXJWDrjmD7unXjuiUvygIX3IeMp7MgbHk+BsvmOZA0ZvWAhPtVlFRgdlsxmq1EhcX1/oGQjTjx31l/N/fdvncf+nvx9J/eEKz27UU1LZHvr2Ocdv2+lTXeDf7JIoqK1m/8mVi6pztacayh1n6BlRFR9ehYEcCPLWWf5euY+W3K9HQiHJEccGRC7xeQ1EU5s+f774gc8m2JUTUKJhtYVw++fcsqR7p8/rbJ47q8GpyVZkda5ENcyel8QghhBCtkaomQgQhVzqEp+bSIVxabGbTTs2Vxrtw536u21/IqjPO47vUTOKoZBbOoBtONLL5f2XoO7awcq8z6AaIrvOtDeiq++15QWZNpIMCi41ncv7KRUneQfHlKQltDrqtViu5ublexyImIYL+wxMk6BZCCNFtJPDuxWpra7Hb7dTW1ho9lD6rvXPgSoc4UWEvoHSI0tLSZpvZNJVvr2NLWWWrnRD9lcZD190517qisHnYqUSG1KA2abKuqFD/9FLO/KrBfV9VaBV60+edqPvt74LMetXMu8U2r/veOlbWpg6OX375JcuWLWPFihUsW7aMnTt3Bryt6Dg5DxlP5sBYcvyNF0xzIDnevVhZWRkOhwOTyURqavPd/0TX6cgcjJqczsBRloDTISwWi99qHnUxcWwpq3RfGOk/ZzvR7z7TI8J4aEgcdx0oQ1NMKLqGrniH4rqikhs5AK1S8Qq+dQ3qK0O46X2N3YMVSuMUbCE2dibtZGzxWFRUr7rfA0MGQkM8DbUW1LBi1NAK9NA09CZN39vSjMZqtfL+++/7/BUgKyuLGpxlCQcnRXvlh4vOJech48kcGEuOv/GCaQ4k8BYiiMUkRAScCmE2m32qeYSdN4uz9jQG2fcOSePPBwva1M58VtwxIvkdx/Q0wrBzv/5Xr+Bb0TWiw0t53zaNCxs2o6Cja1Cww0yDzYQJSC3TKY1zBtCHYg9xLPIYsfWxPHfpcwxNHQrApr11VP3wB3RdATQi097h9nMv4b7C9ndwbO6vAG9ty+HPm4rRdFAVeOiyMVx5+sCA9imEEEK0lwTeQvQintU86mLi3EE3OINXz6DbpbUV5KjIQSRSTiLOlJUbeZbl+s1oigkVnRt4jimjNqCjsORIMte92EBDZQgNthN9F1WVYwneq+S2EBu2EBtllAGNnSidQTeASm3h5VyYPoNIc027m9E091eAxzflo+nOfWg63P32HqYN6ycr30IIIbqU5HgL0cuYzWYGDx7M8ZAwnyBbA5pWMW1tBTkiIo2RIx7EdbqYzie8l3WYf49KYJn+K6azAQAFnckZDv4xJYJauzPodiiQf+slXHfWAgAsFTqjD2tYKpyB8J7iPQBenSjdY9XhUHEN16Qnsn3iKN46LYvtE0c1mxbT3LGYNm2au3aroiiMnHAWVbp34O7QdQ4V1wS8XyGEEKI9ZMVbiF7KdWGkO/i2OwipbuC3I9N5sqjEvYK8ZGAStQVHsbZQ9zs9/edYLFOx2Q4TGZlJREQapWXb2EWx1/NUBSqHpnLPnGOM+FEnZ4DCodj3+HDwh8R++CUj/7kRVYeaMBOvnxnHauurTE2ayuCk/l6dKAFMisKgpCgA4mwamUUNxCWHQhuLkIwcOZL09HSqqqoYOnQoNYShbvq42dcSQgghuooE3kIEE+tRKD0Aliww9+/QrtIjwnh0eAZ37MuDH6sJ+bYcBXjuf8X8cdYoTh6ZRPWB/Wx7ZTkrAqj7HRGRRm1tFAUFpVgsVqIiB4F3aI+uKwwoyOb61R8TY7OhKTrPXdDAj6ftZtTyTSg65Fli+d/JI4myDOL0UoVXnn2Fiy++mEUXZfLX9w6j6Xh1ouyMDp4xMTGYzWbnf9BC10shhBCi60jgLUSw2LkS1t6Gu53irCcge06HdnlNeiKjTKH8dN2njW3XdXhk7Xe8nzGODe/51v3Oysryu/LtrzlPUtLvOX78cRRFR9cV9u+fQH19DDWxMcTYbKg63PS+RtzUUqo1HVuoid2D0qlNG4RnofI1a9fwfsb7RGaFQH0/Fk6cw5WnDexQB8+WtNT1UgghhOgqEngLEQysRxuDbnD+/9r5kHV2h1e+a6rqaNqf1qHrfHukqNm6300D7+aa89xwww38971DRERUYLPFUlcXjaJpxFRWubc16WCOSKBaVakJC0ULj8SnO5AOUXVR1EQWQ2gFT3y9hAtPmkRDUbjP2HUNrEW2Dje+STNHSsAthBCiW8nFlUIEg9IDjUG3i+6A0oMtblZgtbH1QDEFVluzzxmcFI3aJM41KQqjBya7Lzp0cTWz8RleM2X56uvrOeeccxovXtQ0xu3YQZTNYzyqStTY00j70xKi6h2otTaaRtM6GtWh1e7bmq6RV5nXagfPlhoBVZXZ+XFfGTXWev8HRgghhOhmsuItRDCwZDkjSs/gWzGBZUizm7y+/Qh3vf1Ns7WoC6w2d4MYfznNwzKSfep+u5rZ+AyvmbJ8Dm0z1oo/M+YUZ72UyDciSTjY4LVt8sIFhKamEn/FFYyZMgXt3f9jw/bPsacOdK9870r6CltIY7CuKioZsRnERDs7eG5clePOwHF18GypEZBnXjgKnHZRClnjAq+GIoQQQnQFRW+6jCXaraKiArPZjNVqJS4uzujhiJ5m50pneonucAbds5Y1m+NdYLUx+a++lTm2LDqLNHOk36C8uZxmq9VKaWkplhaqmoAzx3vNmjXu2z/5yWSsFbfg1d5GV0i5LwxTqfNKyOTbF5J4ww0++6osKebowR/QwiLoP2gwHxV9xJJtS9B0DVVRWTxxMZeddJn7+VVldq8Onvn2OsZt2+vTWGf7xFHE2TRW3r3Va1FdUWHOg5M6nJ4ihBBCdISseAsRLLLnOHO6Sw86V7pbyO32V/fasxa1K+iGxgYxWxadxcQs31VfV7WPQLhWvRVFoTB3G5GJTdJjFJ2Ufz1KVHESYZkDCW2mNW9sYhIjEpPcty8zX8ak9EnkVeaREZtBarT3dk07eB601TbbCCizqKHL8sKFEEKIjpDAW4hgYu4f0MWUrrxtf7WoWwrK23sxob+LK7/+vpLxE5yryY1UYvuPJSIrrc2vkRqd6hNwN8enRjmNjYDikkNRFHxWvF154UIIIYRR5OJKIXqgNHMkD102BtOJHGnPWtTNXUzZkQYxnhdXhoVVYzYXUhkexSffzaRYc16MqWuQEvdrIiLaHnS3latG+Ymm9F6t5GMSnHnhri8EnnnhQgghhJEkx7sTBVuOd0VFhTstIBjG0xd19RwUWG1+87Zf337E52JKzwsvA2W3F1BjO4SjIZFnnvk3ySnfc9JJn7NJOZt/8it0RUXRNGbtfoMxe3cz9+F/EeuRQtKS+sJC6g4dJmxQZrMpKa3Jt9eRa6tlcGQ46RHebeBdeeFqpIMoc6h8Dgwi5yHjyRwYS46/8YJpDiTw7kTBFngXFhbicDgwmUyktjOwER1j5Bw0F5QHKj//Db7LuQdO1A2JiLgGm20VpUoCt/EcukeOiaJprFJKmTFjZkD7Ll+9moI/LgZNA1Ul7U9LiL/iijaPMRDyOTCWHH/jyRwYS46/8YJpDiTHW4heqq0NYvYdL+Gb46WM6WchM7bOI+gG0LDbV6EoOoWkewXdALqqEn7ahIBep76wsDHoBtA0Cv64mOgpU9q98i2EEEL0BBJ4CxGkAi3z1xn7eujznTxZo6ArCkphFTcruUz1qRviLIqdSj6KrnkF364LG8G7fri/wL/u0OHGoNtF06g7fEQCbyGEEL2aBN5CBKGdO3f6NLbJzs7ukn3tO17iDroBdEXhOX0Qo/REEpUSjz2pDM26Ew48wo08y3L9ZjTF5HVh4+vbj/Doqk9JqyymIDaJ26+d6pNbHjYoE1TVO/hWVcIy256DLoQQQvQkEngLEWT8le5bu3YtWcnRmOuPObtcBlBysMV9ZWW5V76/OV7qDrpddEVl97djmTH6Y1w53iNHPEh6+s9JSfkJ2bbDXK+mkK+Z3Rc2FlhtfPL4P3l512pUdDQUnjr2M6Y9u8hr5Ts0NZW0Py3xyfGW1W4hhBC9nQTeHu68806WLl0KwAMPPMC9995r8IhEX+RZus9F13VK/3k5ZvKc9fFmPdFsV8uA9lVa6g68x/SzoBRWeQXfiq5h+trG4DOfIyEjisjITHeZwIiINCIi0kgABnvs91BOLr89EXQDqOj85qs3OZxzFWkTRnqNIf6KK4ieMoW6w0dabLQjhBBC9CZSx/uErVu38thjj6E0WfkTortZLBafn0MFDQtlzhu65mwtbz2K3V5Aadk27PaCwPelKFgsFvft4f0S+bVqR9GdqR+KrjHjy48wV5ZBQioJCWcEVJu7f1WxO+h2Mek6KTu3UF9Y6PP80NRUoieMl6BbCCFEnyGBN1BTU8PcuXNJS0vjkksuMXo4oo8zm83MmjXLHTArCsxiA2aqGp+kO8g//BKfbZ3Grl2z+WzrNPLz3whgX84cb7PZTGVJMUf2fE1lSTF/nD6Rf9YW8rN1/+aX/17GaV9t5MvRlfzyv7/ltd2vBTTutNHDfFNWAPsTj/PDjLMpX726fQekCzVYa7EfKKfBWmv0UIQQQvQBkmoC3HXXXezfv5/33nuPN97wDV6E6AhbRT015XZiwu0Bd0/Mzs4mKyvLWYkktA7z8ifwXEy2h4fwXfEKPMv9fZdzDxbLVJ/Vaa99nahq8s3H61j//FPuCy7Puem3XHTBhYw8eRC/Wj2XWD2NkyvORClQ+O6d7/ik5hPOmnhWq+Nu+vci9+0gLBlYvb2Qsrf3u4q1kHDZSUSfHhxjE0II0Tv1+RXvjRs38tRTTzFnzhwuvPBCo4fTqcLCwggPDycsLKz1J4sukfd1JR8+eZBPVxxm5d1b2ftZfsDbms1mBg8ejHnAcGdOt3KiQbpiombG78Cn3J+GzXa45X2dWOl2Bd3gzPle/8LTVJYUUxxSRXkcnFxxGsqJsFlBYfO6zVit1hbHW3foMLTUj+tEycDu5u9z0GCtbQy6AXQoe3u/rHx3ATkPGU/mwFhy/I0XTHPQp1e8q6qquP7660lJSWHZsmVGD6fTeebxiu5XVWZn+zt57uBO12HjqhwGjrIEvPLtlj0Hss6G0oNgGUJUuApbX8E7+FaJjMxsdVdlBfm+F1xqGuWF+QwcNJDYhlh30O1+vMkFmf74KxNYExlJZWwssZWVRNXWGlIy0N/noKHYBk2/I+jO+0PM4d0zsD5CzkPGkzkwlhx/4wXTHPTpwPv2228nNzeXd955h4SEhDZvX1tbS21t4wpZRUVFZw7PraqqiqqqqlafFxoaSmJiotd9JSUl1NfXt7ptTEwMMTEx7tuaplFUVBTQ+CwWi9e3SLvdTnl5eavbKYpCSkqK131WqxWbzdbqthEREcTHx3vdV1RUhNa0MYsfcXFxREVFuW/X19dTUlLSwhaN+vXrh8lkct+urq6msrLS73OLcqt9FoB1DaxFNmISIigtLaWurq7V14yKiiIuLg4rMZQyAAsx2MptpKfdSX7BI7jK/aWn3Ul5uQI0XsiYkJBAeHhjIFlbW0tDSIgzcdxjcIqiUm8KIbQSrhp1FT8W/OgVfCuKQlhYGIV+LpL0GuvCBdQ89jhoGgeHDGH76ePcrzXZYiEBoIV9xMbGEh0d7b7tcDg4fvx4q8cIIDExkdDQUPftmpqaZj+TulbvzIPxnB8FQpKcZQ/Ly8ux2+2tvmZkZKTPl5Fjx475fLHxJz4+noiIxi9gdXV1lJaWtrodQHJyMqra+AdLOUf46gnnCE8hISEkJSV53dfWc4Sn1j6rLv7OEWVlZQFt27T1dkVFBTU1Na1uFxYW5hMIFRcX09DQ0Oq23XWO8KSqKsnJyV73yTnCl5wjSgJqR99nA+9169bx3HPPcdVVV3HppZe2ax8PPfQQS5Ys6dyB+aFpGg6Ho9XneZ7s27qtvx+0QLbzR9f1gLb1V0GmI+MNdFt/J7yueK9R8Saf4E5RQY2sJzc3F0VRvH4JtPQaTZvgTJkyhREjLiQychx19UcJC+1PaGiyz1j8lRIMjzVz+s9ms+PNVei6hqKojPvZtYTHmnE4HFw45EK2V29n9xe7vZruxMTEtHriDjn/fCwTJ6IXHWfHpo2Nwb2isLW8nIFWq9eJ2d97bapLfg6jVDgrCT4p9srxdq12d/RzE8gv1c58r3KO8NUTzhGePIMkl+4Yr79zRFe/1542N/7IOcL/azQl5whffTLwtlqt3HDDDfTr14+nnnqq3fu56667WLBggft2RUUFGRkZnTFEL6qq+v0w+HteZ24byHb+KIoS0Lb+PjAdfa+Bjq+pjrxXm82G1WrFbDZ7BZUxCSayZ6Wxa20Buu4MugdOh+df+oc7oJ02bRojR3rXuK6qqvLaX1VVlU8TnE8//ZTMzExiYtJaLPXnr5SgyWRi2OQzGTB6DJXHi4jtl0xUfOPqU1VVFRn9Mhh3wzjq6+vdF2RWVFQEdJxCU1OxRkb6/YVeVVXVYrpKZ89Ni9uekoA+OAalwkHS0DSvFJOOfm4C+aXame9VzhG+gukc0dVz05HxNneOaI9gf6/+9mXU50bOES3rzecIRQ9k9nuZefPm8fLLL/P666/z85//3OuxuXPnsmLFinY10KmoqMBsNmO1Wn3+7GeE4uJiNE1DVVWfP2GKztFaO/bi4mKqymqpKaunLimcZ9a8TVxNJTF1zj9RKorC/Pnz3cGov/0lJCSwYsUKn9eeNGkS5557bssDtB6F0gMBd7tsa6v6+sJC6g4dJmxQple1EqvVyrJly7x+uTR9r91FPgfGkuNvPJkDY8nxN14wzUGfrGryzjvvEBISwjPPPMP06dO9/vvggw8AWL58OdOnT+eqq64yeLTt19DQQH19fUB5c6LtmmvH7ln9o6GhgdAo2BSnceHhY6w5dTKrzjiP71Iz3du4cvaa219z6Sjbtm1jz549zVcb2bkSlp0MK2Y5/3/nyja9n8rQcJ7dvI19x/3ntpavXs0PM87myNy5PnW6W6of3px8ex1byirJt7ee09oW8jkwlhx/48kcGEuOv/GCaQ76ZKoJOCdh06ZNzT5+6NAhDh06RGZm61UiRN8USDt2gGP1Dh4oqHDXH9EVhc3DTiWj9Bix9bXui4ya2199fT2TJk1i69atPo+tXr3a/8q09Sisvc15NSc0drvMOrvZlW/P1/8uNZPNw05DVxTe3ZPHo8PhmvTGC27qCwsp+OPixgomfup0+6sf3pxX80u4fV/eictE4dHhGV6vJ4QQQvQGfXLFu7y8HF3X/f533XXXAfDAAw+g6zqHDh0ydrAiaAXSjh3gSL3Dp+K2rqhURMV4rQK3tL8JEyb4zSkD35X2fHsdW44eIj+0SeCqO5zlCFt5P1VhEe6gG5w1U+7Yl+e1El136LBX2UDnE33rdHvWD29Ovr3OHXQ393pCCCFEb9AnA28hOkOg6RQDQ00+HzQVuPqsM8nKygpof00fa8q10v5qfgnjtu3limPRjDvjdV5N9WgKpZjAMsR9s8BqY+uBYgqsNq/Xr4iK9Wn97gBybY2lM901u73elNquOt0HbbU+X0yavp4QQgjRG/TZVBMh2spuL6DGdoioyEHuSiKBpFOkhJq4Ly2OPxdU4ABUdKZ9/xWbCg6z+URwnTrqZA7aahky6mTmN7M/12vt/24v737woddrKIpCXUwct+/xWDlWTNwx7Haml24nvb4UZi1zp5m8vv0Id739DZoOqgIPXTaGK08fSHZ2NgszMnnXYz8AJmBwZGPVj9DUVNL+tKQx3URVSfvTkna1g49u5iryqACvLhdCCCF6Cgm8RZ9ntVpbzUPOz3+D73LuwdWsZuSIB0lPd1bEca1It+Sn8VFcMmgAe4pLWf+vFUTXOleZdV3nke272WxVvfObBw/2u5+crZvZ9OarhIVFUZcyABTFvTJ+PCTMd+VYMZF76UrS+2e6g+4Cq80ddANoOtz99h6mDetHmjmS4f0SeXS4M93DgTPoXjo8g/QI71a78VdcQfSUKdQdPkJY5sB2Bd0A1c00K6gJoImBEEII0ZNI4N3Eyy+/zMsvv2z0MEQ3CaR8nt1e4BF0A2h8l3MPFstUamujArp4ECA9Iozaehtbaxs7alWFRbDppNPcPXZc+c3TLbE+ge7WzZtZ9/kOGDgcdJ2woh8JqbUxe/FfSM8cRL69DtVjlHBipXrIOPDY157DRe6g28Wh6xwqriHN7OzceE16ItMtseTaaomhglr7AQqr60mN9g6uQ1NT2x1wuwyJDPc/7khp3S6EEKJ3kcBb9FnNle/LysryCqJrbIfAZy1ZY/fuDXzwwcGAa15D4wWMrte0RsU0m0/tGXhbrVbWf/yxs/06gKJQlzyA0B++xlHlbHmcHhHGo8MzWlyp3rlzJ+vXfIDCKegeLeFNisKgpMb2t679fZ73LrdsW4Kma6iKyuKJi7nspMtafI9tFci4hRBCiN5AAm/RY1SV2SkvshGfHElMQkSH9xdoOcCoyEHgsyar8vHH36DrUe7t/AXtTbkuYHQF/PG2ahR07yAY39Xe0tJSmixSg6Kgh0cSn5ruvstzpXpwZLhP8L527Vqi0JkYcohtDYPQUVAV+MtlJ7tXu10KqwtZciLoBtB0jSXbljApfZLPyndHtTRuIYQQoreQwLsXi42Nda/G9nR7P8tn4ys5ztbrCkyfPYJRk9Nb37AFTVefwX85wIiINEaOeNArxzsp6ffU1hZ5Pc9f0O5vDppekDm2uqHZ1d7KkmLKCvIJj43zGSu6zpk/u5rYRO8uXOkRYX4DV88vGsNCiulvslKhRXDDz2cxfoxvNZIjFUfcQbeLpmvkVeZ1euDd0rg7qjd9DnoiOf7Gkzkwlhx/4wXTHEjg3YtFR0cbPYROUVVmdwfdALoOG1flMHCUpf0r39ajmEsPMGvmFNZu2OKVLuJvxTo9/edYLFOx2Q4TGZlJbW0UiuLbEr1p0N7cHHhekHmNGb+rvd98vI71zz/lHtvYWT9n1w+NqS3nzJjBhGnTAn7LTb9oRCv1xIQ0MHxgit/nD4wbiKqoXsG3qqhkxGYE/JrBoLd8DnoqOf7Gkzkwlhx/4wXTHEjgLYJeeZGNJhkh6BpYi2ztC7x3rnR3dcxWVLJmPkZp+lmtXiAZEZHmLiNYW2tl4sSJ7m6SgbREb0nT1d7KkmJ30A3O1fQf3n2TX/71SWo1PaCLOZtqmubS2phTo1NZPHGxO93ElePdFavdQgghRF8ggbcIevHJkSgKXsG3ooI5ObL5jZrjp5W6ecPtmOd/AwEGsk0roUycOJEJEya0KRB2pZAkpKX7pIoAlBXk++afaxqOqgoGjz4l4Ndpqi1t3AEuO+kyJqVPIq8yj4zYDAm6hRBCiA6QwLsXczgc7n+bTCYDR9IxMQkRTJ89go2rctA1Z9A9/doR7VvtLj3QGHS7uFqpn6hz3RJ/lVC2bdvGhAkT/D7f3xw0TSE556bfMmbGuV7bHf/RBCjgcUmloqpeF1K2VyB1xz2lRqf26IC7t3wOeio5/saTOTCWHH/jBdMcSODdix0/fhyHw4HJZCK1g7WWjTZqcjoDR1mwFtkwd6SqiSXLGbl7Bt+erdStR53BuSXLbyAeaCUUl6Zz4C+FZP0LTzPo1Gz3yndVmZ0v/u8YIVEzaajZgDP4Vph27c1+V8dFy3rT56AnkuNvPJkDY8nxN14wzYEE3qLHiEmI6HgZQXN/mPUErJ3vXOlWTI2t1D1yv63EUTrpXiwTrvIKqAOthNKc5lJIygvz3UG1K6c9JHwMptBBaI5yVFM8aSdN6th7F0IIIYShJPAWfU/2HMg625leYhniDLo9cr93Mpq1zETfWoCybZlXY5y2XqDYVEJaum/g3iSFxDOnXVFjMamx7c9pF0IIIUTQkMBb9E3m/t6pJCdyv63EOINuVMB/Y5y2XqDoSQsJ5dSfz+F/a1ajKyqmhjrOneedQtKpOe1CCCGECBoSeAsB7tzvUj3eHXS7+MvhbusFiuBdDYVBIwFnmkp9fGPQbbcXUGM7xJD/N4iBoyZ1PKddCCGEEEFDAm8hwJ37bVlzLwqaV/DdlhxucFY+ca2Gu1RVVXlVQ3HxXFGvrv7QqzvmyBEP0n/4zzv6zoQQQggRJCTwFsIlew7mrLOZ9cUW1m7LaVcOd9Ma39OmTWPYsGFYrVYqQ8OxRsVgrqkips7u3kbXdYqK9nEkzxV0A2h8l3MPFstUImq1FiuttMTzS0B7m/sIIYQQonNI4C2EJ3N/ss+9kqwJbQ9Y/dX43rx5M+np6XxqimLVGeehKwqKrjPt+68YWXgYcK6oR0RW0Bh0u2jYdr9AxAd/w53sPesJ58WhAWj6JcDzIlEhhBBCdD+19acI0feYzWYGDx7cplXi5mp8Hyyv4JGyWnRFcd6nKGwedipVYRHugLhf0mh8P44qkR8v8+qyydr5zgosrfD3JWDt2rVYrdaA348QQgghOpcE3kLgbFrz474yqsrsrT+5Ga4a354URaE8MtpnLVtXVCZeejnz588nOzubiIg0Ro54kMaPpMrIpOuIqHU02fBEl00PlSXFHNnzNZUlxe77Wmr0I4QQQghjSKpJL5aYmGj0EHqEvZ/ls/GVHGfdbAWmzx7BqMltb83ur8b3hRdeSMqQQagl33sF3yZg4pBMzBFh7vvS03+OxTIVm+0wkZGZztxu5bHmu2zSfPv5jjb66YjKkmLKCvJJSEsPik6b8jkwlhx/48kcGEuOv/GCaQ4UvemymGi3iooKzGYzVquVuLg4o4cjAlBVZmfl3Vvx/BQoKsx5cFK7S/j5u6Dx1fwS7tiXhwNn0L10eAbXpDd/Isi313HQVsuQA++S/t6t3l02T+R4V5YU88Kt83ya8fzy6ReJTUwyJMe7uS8CQgghhJAVb9GDtVaxI5CKHq727J50DaxFtnYH3v5qfF+Tnsh0Syy5tloGR4aT7rHS3dSr+SXcvi/PVVSQR2d/yTVqQWOXzRNaaz/fkUY/7VFZUuwOusGZ2rL+hacZdGp2UKx8CyGEEEaTwFv0SK2t5ga62uvZnt2lq9qzp0eEtRhwg3Ol2xV0g7POyR1Hqpg+cYLPtoG0n29Po5/2au2LgBBCCNHXycWVvVhNTQ3V1dXU1NQYPZRO1VrFjrZU9HC1Z1dOfBLa257dbi+gtGwbdnuB1/3H88v4YXc+x/PLAtrPh1/v8bkQ0wHk2mp9nhubmMQ5N/0WRXUNXuH/XXhJm8bdmVxfBDw1/SJghN76Oegp5PgbT+bAWHL8jRdMcyAr3r1YRUUFDocDk8lEVFSU0cPpNC1V7DCbza0+3tSoyekMHGVpd3v2/Pw3fDpOpqf/nL2f5fPJKzmgAwqc1cpFm1arlb0frUeZcK679CA4vx0Pjgz3u82YGecy6NRsdr6/hv+9+w473n2H/733H0Nyq11fBNa/8DS6pqGoKuf88jeGr3b31s9BTyHH33gyB8aS42+8YJoDCbxFj9NaxY72VPSISYhoV0633V7gEXSDq+NkuGk8G1856Ay6AXTYuCqHgaMszb5OaWkp0bU2pn3/FZuHnYquqCi6xh+SokmPCGu84NJPjvj/3n0nKHKrXV8EygvziU8NjqomQgghRLCQVBPR47jK9rnSGpq2dW/t8c5UYzuEv46TJcf2N3vRZnNcXxhGFh7m2s/XMeurLcz+Yj1zM1N5Nb+Ecdv2csVXBxi3bS+v5pe4t2spt9oIsYlJZIw+RYJuIYQQoglZ8RY9UmsVO7qrokdU5CCc3189g2+VxJSTUJSDbbpo07MOeEydndj6WmbNmkV1eCS379zrfcHlvjymW2JJjwgL6CJLIYQQQhhPAm/RY7VWsaM7Knq4Ok42zfFOTBnE9Nlh3o15Arho098Xhi1llc1ecJkeERa0udVCCCGE8CaBtxAd5NNxMiINcF60GZHkoKLYTlxSBEOGB7YC3fQLw5DIcJ81dRPeF1xKbrUQQggR/CTwFqITRESkuQNuT1HmUMJjVEwmU7v3nR4RxqPDM3w6Xza9wDI2MUkCbiGEECKISeAt+rxAOlwarS2dL4UQQggRnCTwFn1aoB0ug0EgnS+FEEIIEbyknGAvpqrOFAdVlWn2py0dLtur6RxYrVZyc3M79TVEy+RzYCw5/saTOTCWHH/jBdMcyIp3L5acnGz0EIJaWztcNlVZUkxZQT4Jac1fzJicnOxOZfnss8/YsGFDj1hd703kc2AsOf7Gkzkwlhx/4wXTHEjgLfqs9nS4dPnm43Wsf/4pdxDdXIt2z1QWT67V9aysrKDNKxdCCCFE5zJ+zV2IrmY9Crmbnf/vob0dLitLit1BNzS2aK8sKfZ+2SapLE25VteFEEII0TfIirfo3XauhLW3Ofu1KyrMegKy57gfbk+Hy5ZatHumnPhLZfGkKAqhoaHk5uYGdUUVIYQQQnQOCbx7sfLycjRNQ1VV4uPj27WPnlBqr1nWo41BNzj/f+18yDobzP3dT2trh8tAW7T7S2VxP19ROOWUU1i+fLnkfHexzvgciPaT4288mQNjyfE3XjDNgQTevZjdbsfhcLS7eUtHS+0ZHrSXHmgMul10B5Qe9Aq8/akqs1NeZCM+OdKnzXugLdrNZjPTpk1j8+bN7mM4c+ZM0tPTCQ0NdQfdIDnfXamjnwPRMXL8jSdzYCw5/sYLpjmQwFv41VypvUADw6Coj23JcqaXeAbfigksQ1rcbO9n+Wx8JQddB0WB6bNHMGqy92p2oC3aR44cSXp6OlVVVQwdOtR97HJzcztUUUUIIYQQPY9cXCn8aqnUXmu6oz52QMz9nTndyolvuIoJZi1rcbW7qszuDroBdB02rsqhqszu89zYxCQyRp/Sapv2mJgY+vfv7xVQu9JQPDVXUSXfXseWskry7XUtvo4QQgghgpuseAu/OlJqr6P1sTtV9hxnTnfpQedKdyspJuVFNpqmZOsaWItsPiknHeGqqNL0rwJNj8+r+SXcvi8PDee35EeHZ3BNemKnjUMIIYQQ3UcCb+FXoIGhPx0J2ruEuX+rAbdLfHIkioJX8K2oYE6O7PRhtVZRJd9e5w66ATTgjn15TLfESut4IYQQogeSwFs0qz2l9qBtQbvhF2A2EZMQwfTZI9i4KsddgXD6tSM6dbXbU0sVVQ7aamlyaSgOINdWK4G3EEII0QP12cC7vr6ezZs388EHH7Bx40b2799PdXU1iYmJjB8/nptvvpmLLrrI6GEarq2l9lwCCdr9XYDZnkC/s42anM7AURasRTbMfqqadJchkeGo4BV8m4DBkeGGjEcIIYQQHdNnA+9NmzZxzjnnAJCamsqUKVOIjo5m7969rF27lrVr13LTTTfx7LPP+lwEJwLTUtDu7wLMNWvWuFNUjK5rHZMQYVjA7ZIeEcajwzO4Y18eDpxB99LhGbLaLYQQQvRQfTbwVlWVyy+/nNtuu42pU6d6Pfb6669z7bXX8vzzzzN58mTmzJnTzF5EezXX1VHqWnu7Jj2R6ZZYcm21DI4Ml6BbCCGE6MH6bOA9Y8YMZsyY4fexK6+8kvXr17N8+XJWrlzZYwPvyMhId6emYNNSV0eX3lDXujPmID0iTALuDgjmz0FfIMffeDIHxpLjb7xgmoM+G3i3ZuzYsQDk5eUZPJL2C+aAtekFmP4YWgmlkwTzHPQVMgfGkuNvPJkDY8nxN14wzYEE3s3Yv38/AGlpaQaPpPdqegHmgQMH2lW+UAghhBCiJ5DA24/CwkJefvllAC6//HJjB2OQ7irz53kBZnvLFwohhBBC9AQSeDfR0NDA7NmzsVqtjBkzhptvvrnZ59bW1lJbW+u+XVFR0SVjqqqqoqqqqtXnhYaGkpjo3dWwpKSE+vr6VreNiYkhJiYG8C3zN23aNEaOHNnsthaLhbCwxhxku91OeXl5q6+pKAopKSk+90dGRmKz2bDZbM1uGxERQXx8vNd9RUVFaFrTytf+X7empsYd3NfX11NSUtLqdgD9+vXDZDK5b1dXV1NZWdnqdiEhISQlebeWLy0tpa6u9TbwUVFRxMXFed1XWFgY0HgTEhIID28sP1hbW0tZWVlA26ampnrdrqiooKamptXtwsLCfFKEiouLaWhoaHXb2NhYoqOj3bcdDgfHjx8PaLyJiYmEhoa6b9fU1AT0mVRVleTkZK/7ysvLsdvtrW4bGRnp8wXx2LFjLV674BIfH09ERGPlnLq6OkpLS1vdDiA5OdkrV7G7zxEAmqZRVFQU0Hg78xxhtVpbPDe4dOQcERcXR1RUlPu2nCP8k3OEnCM8yTmixOcz4Y8E3k386le/4qOPPiIxMZHVq1d7/SA09dBDD7FkyZIuH5OmaTgcjlaf53myB+eHu6ysDE3TWl09dv2g+Svzt3nzZtLT070+UC3RdT2g8for0xjoe/X3wQhk25ycHLZs2eKVzjJmzJiAXtOf1t6r1WpF0zRCQ0N9fqkG+l79naADHW/TbQOdm+b21ZVz43qNpjo6XtccqKoa8F9ROvJz6HA4Avql2pnvtb3niLZs29x7bY3VaqWuro7w8HD3L8hgPke4xtdUV39u/F301VnjbekzIOeIrv3MaZrGsWPHcDgcmEwmUlJS5BwRgM4+R/j7DBj1cyiBt4fbbruN5cuXk5CQwPr16xk2bFiLz7/rrrtYsGCB+3ZFRQUZGRmdPi5VVf1+GPw9z5PrB0NRlFa3d23rr8yfrutUVVUFHLQE8nqu5/kbR3vea3P3eaqqqnIH3dBYsjAzMzOg1/SntfeqKIr7P3/jbe9xCnS8TbcNdG6a21dH5qar36u/fZlMJq858LevjozX37YmkymgX6qd+V47+rnpyHttjat6kecxCdZzREuv25M/Ny19BuQc0fWfG9fPv+szIOeI1nX2OcLfZ8Coc4SiBzL7fcDChQt5/PHHiY+PZ/369YwbN67N+6ioqMBsNmO1Wn3+7GeEwsJC97fsQP78Ac5vhcuWLfP5JTl//vygzLluSy56bm4uK1as8Ln/uuuuY/DgwV0yvvbMgehcMgfGkuNvPJkDY8nxN14wzYGseAN33nknjz/+OGazmXXr1rUr6O4tmpb5C+bqIv5azrfU6dJf7fDeULJQCCGEED1Dnw+8Fy1axNKlSzGbzaxfv57TTz/d6CEZridUF/GXi95ap8ue9KVCCCGEEL1Pnw687733Xh5++GHi4+NZt26dBN0ePMv8BaPmctFb63TZE75UCCGEEKJ36rOB95o1a3jwwQcBGDp0KH//+9/9Pi8pKYlHH320O4cmAtCRtJFg/1IhhBBCiN6pzwbenrUwd+zYwY4dO/w+LzMzUwLvICRpI0IIIYToafps4D137lzmzp1r9DBEB0jaiBBCCCF6kj4beIveQdJGhBBCCNFTSODdi8XHx7vTMIQxZA6MJ3NgLDn+xpM5MJYcf+MF0xxI4N2LRUREdMl+29K0JihZj0LpAbBkgbl/l75UV82BCJzMgbHk+BtP5sBYcvyNF0xzIIG3aJO2Nq0JOjtXwtrbQNdAUWHWE5A9x+hRCSGEEKIPCKwpvRA037TGarUaPLIAWY82Bt3g/P+18533CyGEEEJ0MVnx7sXq6urc/w4LC+vw/vLy8trVtCZolB5oDLpddAeUHmx3yklVmZ3yIhvxyZHEJPj+Kauz50C0ncyBseT4G0/mwFhy/I0XTHMggXcvVlpaisPhwGQykZqa2qF9uVJMmgq0aU1QsGQ500s8g2/FBJYh7drd3s/y2fhKDroOigLTZ49g1OR0r+d05hyI9pE5MJYcf+PJHBhLjr/xgmkOJNVEtKppiomnHtW0xtzfmdOtmJy3FRPMWtau1e6qMrs76AbQddi4KoeqMnvnjVcIIYQQvYqseItWlZaW+g26r7jiCk4++WQDRtQB2XMg62xneollSLtTTMqLbDQ9JLoG1iKb35QTIYQQQggJvEWrLBYLiqJ4Bd+KopCRkeG+3aNKDJr7d7iMYHxyJIqCV/CtqGBOjuzg4IQQQgjRW0ngLVplNpuZNWuWTxlBV4Dd40sMtkNMQgTTZ49g46ocd2XC6deOkNVuIYQQQjRLAm8RkOzsbLKysnxWtZsrMZiVlRX8K98dNGpyOgNHWbAW2TA3U9VECCGEEMJFAm/hpaWUEbPZ7HOfv/zvHlVisINiEiIk4BZCCCFEQCTwFm7tSRlpLv+7x5QYFEIIIYToJlJOUADt70rpyv9WFAXAJ/9bCCGEEEI4yYq3ADqWMtJc/rcQQgghhGgkgXcvlpycHPBzO5oy4i//W7RtDkTXkDkwlhx/48kcGEuOv/GCaQ4k1aQXU1XV/V9rJGWka7RlDkTXkDkwlhx/48kcGEuOv/GCaQ4U3V9LQtEuFRUVmM1mrFYrcXFxRg+nXXpUIxwhhBBCiB5EUk2EF0kZEUIIIYToGhJ492JVVVVomoaqqsTExBg9nD5J5sB4MgfGkuNvPJkDY8nxN14wzYEE3r1YVVUVDocDk8lk+A9ae1WV2SkvshHfQztD9oY56OlkDowlx994MgfGkuNvvGCaAwm8RdDa+1k+G1/JQddBUWD67BGMmpxu9LCEEEIIIdrF+Ms7hfCjqszuDroBdB02rsqhqsxu7MCEEEIIIdpJAm8RlMqLbDStt6NrYC2yGTMgIYQQQogOksBbBKX45EhOlBR3U1QwJ0caMyAhhBBCiA6SwFsEpZiECKbPHoFy4idUUWH6tSN65AWWQgghhBAgF1eKIDZqcjoDR1mwFtkw99CqJkIIIYQQLhJ4i6AWkxAhAbcQQgghegVJNRFCCCGEEKIbyIp3LxYaGorJZEJV5fuVUWQOjCdzYCw5/saTOTCWHH/jBdMcKLretGibaK+KigrMZjNWq5W4uDijhyOEEEIIIYKI8aG/EEIIIYQQfYAE3kIIIYQQQnQDCbyFEEIIIYToBnJxZS9WUlKCpmmoqkpiYqLRw+mTZA6MJ3NgLDn+xpM5MJYcf+MF0xxI4N2L1dfX43A4MJlMRg+lz5I5MJ7MgbHk+BtP5sBYcvyNF0xzIKkmQgghhBBCdAMJvIUQQgghhOgGEngLIYQQQgjRDSTwFkIIIYQQohtI4C2EEEIIIUQ3kMBbCCGEEEKIbiCBtxBCCCGEEN1AAm8hhBBCCCG6gaLrum70IHqLiooKzGYzVquVuLg4o4cjhBBCCCGCiATenUjXdSorK4mNjUVRFKOHI4QQQgghgogE3kIIIYQQQnQDyfEWQgghhBCiG0jgLYQQQgghRDeQwFsIIYQQQohuIIG3EEIIIYQQ3UACbyGEEEIIIbqBBN5CCCGEEEJ0Awm8hRBCCCGE6AYSeAshhBBCCNENJPAWQgghhBCiG0jgLYQQQgghRDeQwFsIIYQQQohuIIG3EEIIIYQQ3UACbyGEEEIIIbqBBN5CCCGEEEJ0Awm8hRBCCCGE6AYSeAshhBBCCNENJPAWQgghhBCiG4QYPQDRMl3XqaysNHoYQgghhBCiFbGxsSiK0uzjEngHucrKSsxms9HDEEIIIYQQrbBarcTFxTX7uKLrut6N4xFt1JEV74qKCjIyMsjLy2vxh0B0HZkD48kcGEuOv/FkDowlx9943TkHsuLdwymK0uEfkri4OPmwG0zmwHgyB8aS4288mQNjyfE3XjDMgVxcKYQQQgghRDeQwFsIIYQQQohuIIF3LxYeHs7ixYsJDw83eih9lsyB8WQOjCXH33gyB8aS42+8YJoDubhSCCGEEEKIbiAr3kIIIYQQQnQDCbyFEEIIIYToBhJ4CyGEEEII0Q0k8O6l3nzzTaZPn05CQgLR0dGceuqpPPLII9TX1xs9tF5t3759PPXUU8ydO5cxY8YQEhKCoij8+c9/NnpofUJ9fT0fffQRd9xxB6effjrx8fGEhoaSmprKxRdfzHvvvWf0EPuEVatWMWfOHE499VSSk5MJDQ3FbDYzfvx4HnroIaqqqoweYp9z5513oiiKnI+6ydy5c93Hu7n/7Ha70cPs9erq6njyySeZMmUKFouFiIgIBgwYwAUXXMDrr79uyJikgU4vNH/+fJ544glCQkKYMWMGMTExfPzxx/zhD39g7dq1rFu3jsjISKOH2Sv94x//4IknnjB6GH3Wpk2bOOeccwBITU1lypQpREdHs3fvXtauXcvatWu56aabePbZZ1vsLCY65h//+Adbt25l5MiRZGdnY7FYOHbsGNu2bWP79u28+OKLbNq0ifT0dKOH2ids3bqVxx57DEVRkHoK3Wvy5MkMHTrU72Mmk6mbR9O3/Pjjj5x33nns3buXpKQkJk+eTHR0NHl5eWzevJno6GiuvPLK7h+YLnqVd955Rwf0mJgY/X//+5/7/uPHj+tjxozRAX3hwoUGjrB3e+GFF/Tbb79dX7Vqlf7dd9/pv/jFL3RAf+CBB4weWp/w0Ucf6Zdffrm+efNmn8dee+013WQy6YC+YsUKA0bXd3z++ed6SUmJz/3FxcX6lClTdEC/6qqrDBhZ31NdXa2fdNJJev/+/fVLL71Uzkfd5LrrrtMB/aWXXjJ6KH1STU2NPmLECB3Q77//fr2urs7r8erqan3Xrl2GjE1STXqZv/zlLwAsWrSI7Oxs9/1JSUk888wzADz99NNYrVZDxtfb3XjjjSxdupRrrrmGESNGoKryEetOM2bMYPXq1UydOtXnsSuvvJK5c+cCsHLlym4eWd8yYcIELBaLz/2JiYnuc9S6deu6e1h90l133cX+/ft5/vnnMZvNRg9HiG7x0EMPkZOTw0033cTixYsJDQ31ejwqKorTTjvNkLFJVNCLHD16lO3btwNwzTXX+Dw+ZcoUMjIyqK2t5b///W93D08Iw40dOxaAvLw8g0fSd4WEODMcg6GRRW+3ceNGnnrqKebMmcOFF15o9HCE6Bb19fX84x//AOCOO+4weDS+JMe7F9m1axcAFouFwYMH+33OuHHjyMvLY9euXVx99dXdOTwhDLd//34A0tLSDB5J31RZWcn9998PwMUXX2zsYHq5qqoqrr/+elJSUli2bJnRw+mzPvnkE7755hsqKytJTExk/PjxXHjhhfLFswvt3LmT4uJi0tPTGTp0KN988w1vv/02+fn5JCQkMHXqVC644ALD/iItgXcvkpubC8DAgQObfU5GRobXc4XoKwoLC3n55ZcBuPzyy40dTB+xbt06Xn31VTRNc19cWVlZyfnnn8/DDz9s9PB6tdtvv53c3FzeeecdEhISjB5On+UvrS0tLY0XX3yR888/34AR9X5ff/01AAMGDGDRokU88sgjXhcVP/zww4wdO5b//Oc/LcZLXUVSTXqRyspKAKKjo5t9TkxMDAAVFRXdMiYhgkFDQwOzZ8/GarUyZswYbr75ZqOH1Cfs3buXFStW8K9//Yt169ZRWVnJNddcw8svvyz5xl1o3bp1PPfcc1x11VVceumlRg+nTzr11FN54okn2LNnDxUVFRw7dox169YxadIkCgoKuPjii9m4caPRw+yVSkpKAGcWwMMPP8wtt9zCvn37sFqtrF+/nmHDhrFr1y4uuugiQ0osS+AthOj1fvWrX/HRRx+RmJjI6tWrCQsLM3pIfcL8+fPRdZ26ujp++OEHHnvsMd5//31GjRrF5s2bjR5er2S1Wrnhhhvo168fTz31lNHD6bN+//vf87vf/Y7Ro0cTGxtLcnIy55xzDlu2bOGSSy6hvr6e+fPnGz3MXsm1ul1fX8/VV1/N008/zbBhw4iLi2PmzJmsX7+eiIgI9uzZw2uvvdbt45PAuxeJjY0FoLq6utnnuBpXxMXFdcuYhDDabbfdxvLly0lISHCvdojuFRoaSlZWFgsWLOD999+nrKyM2bNnY7PZjB5arzN//nx+/PFHnn76aZKSkowejmhCURSWLFkCwO7du+VC7y7gioUAv3/dHDhwIBdddBEAGzZs6LZxuUiOdy8yaNAgoOWKDa7HXM8VojdbuHAhTz75JPHx8axbt85d1UQYZ8KECYwaNYpvv/2WHTt2+C39KNrvnXfeISQkhGeeecZdQtYlJycHgOXLl7NhwwZSU1MNWfHr60aOHOn+948//ui+9kp0jiFDhvj9t7/nFBQUdMuYPEng3Yu4goqSkhJyc3P9VjbZsWMHgFeNbyF6ozvvvJPHH38cs9nMunXrGDdunNFDEie4rkMpKioyeCS9U0NDA5s2bWr28UOHDnHo0CEyMzO7cVTCxZWDDN6rs6JzZGdnu7u0FhcX+/1iU1xcDDRe99adJNWkFxkwYACnn346AK+++qrP41u2bCEvL4/w8HCp6Sp6tUWLFrF06VLMZjPr1693fy6E8YqLi9m9ezeApP10gfLycnRd9/vfddddB8ADDzyAruscOnTI2MH2Ua6/MsTFxTF8+HCDR9P7pKamMmXKFMB/Kkl9fb37i+n48eO7dWwggXevc/fddwPw17/+lZ07d7rvLykp4ZZbbgHgN7/5jVQUEL3Wvffey8MPP0x8fLwE3QbYu3cvq1atwm63+zz2/fff87Of/Yza2lrOOOMMxowZY8AIhehaX331FWvWrKGhocHrfk3TWL58ufv39O9+9zufjoqicyxevBhwdrD8/PPP3fc3NDSwcOFCDh48SGxsLPPmzev2sSm6Z3FD0SvcdtttPPnkk4SGhnL22WcTHR3NRx99RHl5OZMnT2b9+vVERkYaPcxeaefOne4vOAAHDhyguLiYAQMG0L9/f/f977zzjjRx6QJr1qzhkksuAZzNokaPHu33eUlJSTz66KPdObQ+Y+PGjZx11llER0czduxYBgwYQF1dHUeOHGHnzp1omsbIkSP54IMPDKmh25fNnTuXFStW8MADD3DvvfcaPZxe6z//+Q8//elPSUhIIDs7m5SUFMrLy9mzZw9HjhwB4Oqrr2blypXuTq6i8/35z3/mvvvuIyQkhPHjx5OamsrOnTs5dOgQkZGRvPnmm+6LLLuTzHgv9MQTTzB58mT+/ve/s3XrVurr68nKymLRokX8/ve/l1JqXaiiooIvvvjC5/4ff/yRH3/80X27tra2O4fVZ5SWlrr/vWPHDvc1DU1lZmZK4N1FRo8ezYMPPsinn35KTk4Ou3btor6+HovFwtlnn81ll13GvHnzpHOf6LVOPfVU5s+fz44dO8jJyeGzzz5D13VSUlK44oormDdvnqR7doN7772X8ePHs2zZMr744gu2b99Oamoqc+fO5Q9/+AMjRowwZFyy4i2EEEIIIUQ3kBxvIYQQQgghuoEE3kIIIYQQQnQDCbyFEEIIIYToBhJ4CyGEEEII0Q0k8BZCCCGEEKIbSOAthBBCCCFEN5DAWwghhBBCiG4ggbcQQgghhBDdQAJvIYQQXeKf//wniqLw61//2uihAPD555+jKArTpk0zeihCiD5KAm8hhOgDcnNziY2NRVEUFixY0OJzCwoKSExMRFEUbrjhhna9XlVVFffddx/h4eHcc8897dpHZzvjjDM477zz+PTTT3nnnXeMHo4Qog+SwFsIIfqAwYMHs3TpUgCeeOIJPv3002afe+ONN1JaWkpmZiZ/+9vf2vV6S5cupbCwkBtvvJEBAwa0ax9d4f777wdg0aJFNDQ0GDsYIUSfo+i6rhs9CCGEEN3j3HPPZf369QwZMoSvv/6a6Ohor8dfeOEFbrrpJhRFYcOGDcyYMaPNr2Gz2UhPT6e8vJw9e/YwevTozhp+pzjttNPYvXs3b775JldccYXRwxFC9CGy4i2EEH3I8uXLiYuL4+DBg9xxxx1ejx06dIiFCxcCcMstt7Qr6AZ4/fXXKS8v57TTTgu6oBtg9uzZADz33HMGj0QI0ddI4C2EEH1IRkYGy5YtA+DZZ59l/fr1AOi6zty5c6msrGTo0KE88sgj7X6NF154AYBrrrmm2ecMGjQIRVF4+eWXqays5K677mL48OFERkaSlJTEpZdeyhdffNHqa33xxRfMmzePoUOHEhUVRVxcHKNGjeL666/nww8/9LuNa1wfffQRBw8ebMc7FEKI9pFUEyGE6IN+8pOf8N5775GRkcGePXtYvnw5CxYsQFVVNm/ezOTJk9u1X6vVisViQdM0tm3bxhlnnOH3eYMGDeLw4cM8/vjjPPfcc+zbt4+wsDAiIiKoqKgAQFVVXnjhBa6//nqf7R0OBwsWLODJJ5903xcdHU1YWBjl5eXouo7ZbKa8vNzv6w8dOpQDBw7wzDPPBE3VFSFE7ycr3kII0Qe98MILJCQkkJeXx1VXXeWuPLJgwYJ2B90AW7ZsQdM0QkNDGTt2bKvPX7JkCUVFRbzxxhtUV1djtVrZu3cvZ555JpqmcfPNN7Nz506f7e6++2530H399dezb98+qqqqKC0tpaysjP/85z+cf/75zb7uhAkTANi0aVM736kQQrSdBN5CCNEHpaWl8fTTTwPw/vvvY7PZGDVqFH/+8587tF9Xesjw4cMJDw9v9flWq5U333yTn/3sZ4SEhAAwcuRI3n//fU466SQaGhq47777vLb5/vvvefTRRwG48847Wb58OcOGDXM/bjabueSSS3jttdeafV3Xl4Jt27a17Q0KIUQHSOAthBB91M9+9jNSUlLct//2t78FFCy3JD8/H4B+/foF9PzJkydz9tln+9wfGRnpvvjzgw8+wGq1uh9bsWIFmqaRmJjIkiVL2jXOpKQkwFmzXAghuosE3kII0Uc9+OCDHDt2zH37n//8Z4f3efz4cQAsFktAz2+pcorrMU3TvNJNtm7dCsA555xDREREu8bpGl99fX2zeeBCCNHZJPAWQog+aOfOnTz44IMAXHjhhQC8+eabvPnmmx3ar91uBwh45bx///4BPVZUVOT+d2FhIQCZmZntGSLgXFF3cY1ZCCG6mgTeQgjRx9TW1nLdddfR0NDAhAkTWLNmDVdffTUAt956q3vVuj0SExMBKCsr65Sx+qMoSof3UVpa6v63a8xCCNHVJPAWQog+ZvHixezZs4eIiAhWrFiByWTiqaeeIiUlhePHj3PLLbe0e9+u3G7PwLYlR48eDeix5ORk979TU1MBOHz4cHuGCDSOz2w2Exoa2u79CCFEW0jgLYQQfcjnn3/urgjyl7/8heHDhwPOVV9XJ8fVq1fzxhtvtGv/o0aNAiA3Nzeg53/yySetPqaqqldpwkmTJgGwfv36dqeJuMY3cuTIdm0vhBDtIYG3EEL0ETabjeuuuw6Hw8HUqVO57bbbvB6/5JJLuPbaawFnyolnXnWgpk2bBjhzsg8dOtTq87ds2cLGjRt97rfb7Tz22GMAnHfeecTHx7sfmzt3LiaTiZKSEhYvXtzmMUJj2cMzzzyzXdsLIUR7SOAthBB9xN133833339PdHQ0L730Eqrq+yvgySefJC0tjeLi4nalnIwcOdKdFhJIy3ez2czll1/O6tWraWhoACAnJ4eLLrqInJwcTCYTf/rTn7y2GTp0qLvU4COPPMKNN97I/v373Y9XVFTw+uuv89Of/tTvazocDv73v/8BEngLIbqZLoQQotfbtGmTriiKDuh///vfW3zumjVrdEAH9Ndee63Nr3XbbbfpgH7NNdc0+5zMzEwd0B9//HF9+PDhOqCHh4frZrPZ/dqKoujPP/+83+0bGhr0W2+91f1cQI+JidETEhLc79NsNvvd9sMPP9QBPTk5Wa+rq2vz+xNCiPaSFW8hhOjlqqurmTdvHrquc/bZZ/PrX/+6xefPmjWLX/ziFwD85je/aXPKyc033wzA//3f/1FdXd3icxMSEvjyyy9ZtGgRAwcOpLa2FovFwqxZs/jss8/45S9/6Xc7k8nE008/zZYtW7j22msZOHAg9fX16LrOqFGjuOGGG3jrrbf8brtq1SoA5s2bJxdWCiG6laLrum70IIQQQvQuM2bM4JNPPmHFihXMmTPH5/FBgwZx+PBhXnrpJebOndtt46quriYtLY2amhq+//57hgwZ0m2vLYQQsuIthBCi07ma8zzyyCME0/rO008/TWVlJTfeeKME3UKIbieBtxBCiE43ceJErrjiCr799tsOd8PsLFVVVTz66KPExMSwZMkSo4cjhOiDQowegBBCiN5p6dKljB49mvr6eqOHAsChQ4e49dZbGTt2LCkpKUYPRwjRB0ngLYQQoksMGjSI+++/3+hhuJ188smcfPLJRg9DCNGHycWVQgghhBBCdAPJ8RZCCCGEEKIbSOAthBBCCCFEN5DAWwghhBBCiG4ggbcQQgghhBDdQAJvIYQQQgghuoEE3kIIIYQQQnQDCbyFEEIIIYToBhJ4CyGEEEII0Q0k8BZCCCGEEKIb/H9jFzU7RPpJdwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "ax = fig.add_subplot(111)\n",
    "#Plot the data\n",
    "for i in range(Nsets):\n",
    "    ax.plot(x[i], y[i], '.', label=labels[i])\n",
    "\n",
    "#Get styling!\n",
    "ax.set_xlabel(\"X (pc)\", fontsize=18)\n",
    "ax.set_ylabel(\"Y (km s$^{-1}$)\", fontsize=18)\n",
    "ax.grid(which='major', linestyle='--', alpha=0.333, lw=2.0)\n",
    "ax.tick_params(which='major', axis='both', labelsize=16)\n",
    "\n",
    "#Maybe fiddle with the spines a bit...\n",
    "for spine in ['top', 'right']:\n",
    "    ax.spines[spine].set_visible(False)\n",
    "for spine in ['left', 'bottom']:\n",
    "    ax.spines[spine].set_position(('outward', 15))\n",
    "\n",
    "plt.legend(ncol=4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "98bde7fd-5e44-4b71-936a-6ed1ab254e67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "ax = fig.add_subplot(111)\n",
    "#Plot the data\n",
    "ax.hexbin(x1D, y1D, cmap=plt.cm.Blues, gridsize=16)\n",
    "\n",
    "#Get styling!\n",
    "ax.set_xlabel(\"X (pc)\", fontsize=18)\n",
    "ax.set_ylabel(\"Y (km s$^{-1}$)\", fontsize=18)\n",
    "ax.grid(which='major', linestyle='--', alpha=0.333, lw=2.0)\n",
    "ax.tick_params(which='major', axis='both', labelsize=16)\n",
    "\n",
    "ax.set_xlim(min(x1D), max(x1D))\n",
    "ax.set_ylim(min(y1D), max(y1D))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69afa1e0-98ad-4bf6-b914-2c4012634765",
   "metadata": {},
   "source": [
    "### Seaborn\n",
    "This library sits atop matplotlib. It interfaces well with pandas and can allow for very easy explorations of data sets. Because it sits on top of matplotlib, you can still do a lot of fiddling with plots. Since Seaborn is basically a high-level interface to matplotlib, you can do a lot of the same customization, while starting from something closer to what you may want!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5eb96b40-422a-4429-834c-19580949a750",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "bdd9bcf0-6bab-44e4-add5-bab375e9c35a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f9d90ba4520>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 590.125x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale=1.25)\n",
    "sns.set_style(\"whitegrid\")\n",
    "p = sns.relplot(x=\"x\", y=\"y\", hue=\"SrcID\", data=df)\n",
    "p.set_axis_labels(\"X\", \"Y (km s$^{-1}$)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c47f5540-9b23-4475-b946-afa0aa61fe28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x900 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = sns.relplot(x=\"x\", y=\"y\",\n",
    "            col=\"SrcID\", col_wrap=4, \n",
    "            height=3, aspect=.75, linewidth=2.5, data=df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "48be84d2-6416-4b0a-8252-170e3797311f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x7f9d61501640>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(data=df, x=\"x\", y=\"y\", kind='hex')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3aedac93-cf5f-4e53-aa1a-0d56c4bbef12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f9d41f1fac0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x900 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"x\", y=\"y\", data=df, col='SrcID', col_wrap=4, \n",
    "            height=3, aspect=.75)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95ad32b6-c324-459b-a2d7-66eab212d3a0",
   "metadata": {},
   "source": [
    "### Bokeh\n",
    "This is a separate library and again interfaces well with pandas. It is very useful for making interactive plots. It is very high level, so it can be a bit difficult to fiddle too much with plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "388bf400-1916-4b01-97a2-6eda80d76bae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1002\">Loading BokehJS ...</span>\n",
       "    </div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\nconst JS_MIME_TYPE = 'application/javascript';\n  const HTML_MIME_TYPE = 'text/html';\n  const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n  const CLASS_NAME = 'output_bokeh rendered_html';\n\n  /**\n   * Render data to the DOM node\n   */\n  function render(props, node) {\n    const script = document.createElement(\"script\");\n    node.appendChild(script);\n  }\n\n  /**\n   * Handle when an output is cleared or removed\n   */\n  function handleClearOutput(event, handle) {\n    const cell = handle.cell;\n\n    const id = cell.output_area._bokeh_element_id;\n    const server_id = cell.output_area._bokeh_server_id;\n    // Clean up Bokeh references\n    if (id != null && id in Bokeh.index) {\n      Bokeh.index[id].model.document.clear();\n      delete Bokeh.index[id];\n    }\n\n    if (server_id !== undefined) {\n      // Clean up Bokeh references\n      const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n      cell.notebook.kernel.execute(cmd_clean, {\n        iopub: {\n          output: function(msg) {\n            const id = msg.content.text.trim();\n            if (id in Bokeh.index) {\n              Bokeh.index[id].model.document.clear();\n              delete Bokeh.index[id];\n            }\n          }\n        }\n      });\n      // Destroy server and session\n      const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n      cell.notebook.kernel.execute(cmd_destroy);\n    }\n  }\n\n  /**\n   * Handle when a new output is added\n   */\n  function handleAddOutput(event, handle) {\n    const output_area = handle.output_area;\n    const output = handle.output;\n\n    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n    if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n      return\n    }\n\n    const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n      // store reference to embed id on output_area\n      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n    }\n    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n      const bk_div = document.createElement(\"div\");\n      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n      const script_attrs = bk_div.children[0].attributes;\n      for (let i = 0; i < script_attrs.length; i++) {\n        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n      }\n      // store reference to server id on output_area\n      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n    }\n  }\n\n  function register_renderer(events, OutputArea) {\n\n    function append_mime(data, metadata, element) {\n      // create a DOM node to render to\n      const toinsert = this.create_output_subarea(\n        metadata,\n        CLASS_NAME,\n        EXEC_MIME_TYPE\n      );\n      this.keyboard_manager.register_events(toinsert);\n      // Render to node\n      const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n      render(props, toinsert[toinsert.length - 1]);\n      element.append(toinsert);\n      return toinsert\n    }\n\n    /* Handle when an output is cleared or removed */\n    events.on('clear_output.CodeCell', handleClearOutput);\n    events.on('delete.Cell', handleClearOutput);\n\n    /* Handle when a new output is added */\n    events.on('output_added.OutputArea', handleAddOutput);\n\n    /**\n     * Register the mime type and append_mime function with output_area\n     */\n    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n      /* Is output safe? */\n      safe: true,\n      /* Index of renderer in `output_area.display_order` */\n      index: 0\n    });\n  }\n\n  // register the mime type if in Jupyter Notebook environment and previously unregistered\n  if (root.Jupyter !== undefined) {\n    const events = require('base/js/events');\n    const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  }\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    const el = document.getElementById(\"1002\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n          for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\nif (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));",
      "application/vnd.bokehjs_load.v0+json": ""
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import bokeh as bh\n",
    "from bokeh.plotting import figure, show, ColumnDataSource\n",
    "from bokeh.io import output_notebook\n",
    "from bokeh.transform import linear_cmap, factor_cmap\n",
    "from bokeh.util.hex import hexbin\n",
    "\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9aa48681-578a-4677-ae4d-50834395501f",
   "metadata": {},
   "outputs": [],
   "source": [
    "source = ColumnDataSource(df)\n",
    "\n",
    "TOOLTIPS = [\n",
    "    (\"index\", \"$index\"),\n",
    "    (\"(x,y)\", \"($x, $y)\"),\n",
    "    (\"SrcID\", \"@SrcID\"),\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1e0124bf-655b-4e55-bb93-ae86e21288c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"display: table;\"><div style=\"display: table-row;\"><div style=\"display: table-cell;\"><b title=\"bokeh.models.renderers.GlyphRenderer\">GlyphRenderer</b>(</div><div style=\"display: table-cell;\">id&nbsp;=&nbsp;'1041', <span id=\"1057\" style=\"cursor: pointer;\">&hellip;)</span></div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">coordinates&nbsp;=&nbsp;None,</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">data_source&nbsp;=&nbsp;ColumnDataSource(id='1003', ...),</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">glyph&nbsp;=&nbsp;Circle(id='1038', ...),</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">group&nbsp;=&nbsp;None,</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">hover_glyph&nbsp;=&nbsp;None,</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">js_event_callbacks&nbsp;=&nbsp;{},</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">js_property_callbacks&nbsp;=&nbsp;{},</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">level&nbsp;=&nbsp;'glyph',</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">muted&nbsp;=&nbsp;False,</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">muted_glyph&nbsp;=&nbsp;Circle(id='1040', ...),</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">name&nbsp;=&nbsp;None,</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">nonselection_glyph&nbsp;=&nbsp;Circle(id='1039', ...),</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">selection_glyph&nbsp;=&nbsp;'auto',</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">subscribed_events&nbsp;=&nbsp;[],</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">syncable&nbsp;=&nbsp;True,</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">tags&nbsp;=&nbsp;[],</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">view&nbsp;=&nbsp;CDSView(id='1042', ...),</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">visible&nbsp;=&nbsp;True,</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">x_range_name&nbsp;=&nbsp;'default',</div></div><div class=\"1056\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">y_range_name&nbsp;=&nbsp;'default')</div></div></div>\n",
       "<script>\n",
       "(function() {\n",
       "  let expanded = false;\n",
       "  const ellipsis = document.getElementById(\"1057\");\n",
       "  ellipsis.addEventListener(\"click\", function() {\n",
       "    const rows = document.getElementsByClassName(\"1056\");\n",
       "    for (let i = 0; i < rows.length; i++) {\n",
       "      const el = rows[i];\n",
       "      el.style.display = expanded ? \"none\" : \"table-row\";\n",
       "    }\n",
       "    ellipsis.innerHTML = expanded ? \"&hellip;)\" : \"&lsaquo;&lsaquo;&lsaquo;\";\n",
       "    expanded = !expanded;\n",
       "  });\n",
       "})();\n",
       "</script>\n"
      ],
      "text/plain": [
       "GlyphRenderer(id='1041', ...)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p = figure(title=\"Random Data\", x_axis_label='x', y_axis_label='y (km/s)',\n",
    "          tools=\"pan,lasso_select,box_select,crosshair\", tooltips=TOOLTIPS)\n",
    "# chage plot size\n",
    "p.width = 450\n",
    "p.height = 450\n",
    "\n",
    "p.circle(\"x\", \"y\", source=source, legend_field=\"SrcID\", \n",
    "        color=factor_cmap('SrcID', 'Category20_12', np.arange(1,Nsets+1,1).astype(str)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "3eb8992e-992b-462d-93e9-72585f59924c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div class=\"bk-root\" id=\"6084e272-4118-4395-b163-50eff4695b96\" data-root-id=\"1004\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": "(function(root) {\n  function embed_document(root) {\n  const docs_json = {\"ac5e7b93-1f02-4937-afbb-d9deab34919c\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1015\"}],\"center\":[{\"id\":\"1018\"},{\"id\":\"1022\"},{\"id\":\"1054\"}],\"height\":450,\"left\":[{\"id\":\"1019\"}],\"renderers\":[{\"id\":\"1041\"}],\"title\":{\"id\":\"1005\"},\"toolbar\":{\"id\":\"1030\"},\"width\":450,\"x_range\":{\"id\":\"1007\"},\"x_scale\":{\"id\":\"1011\"},\"y_range\":{\"id\":\"1009\"},\"y_scale\":{\"id\":\"1013\"}},\"id\":\"1004\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1051\",\"type\":\"Selection\"},{\"attributes\":{\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"syncable\":false,\"xs_units\":\"screen\",\"ys_units\":\"screen\"},\"id\":\"1028\",\"type\":\"PolyAnnotation\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"items\":[{\"id\":\"1055\"}]},\"id\":\"1054\",\"type\":\"Legend\"},{\"attributes\":{},\"id\":\"1009\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1007\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1013\",\"type\":\"LinearScale\"},{\"attributes\":{\"tools\":[{\"id\":\"1023\"},{\"id\":\"1024\"},{\"id\":\"1025\"},{\"id\":\"1026\"},{\"id\":\"1029\"}]},\"id\":\"1030\",\"type\":\"Toolbar\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"Random Data\"},\"id\":\"1005\",\"type\":\"Title\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1003\"},\"glyph\":{\"id\":\"1038\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1040\"},\"nonselection_glyph\":{\"id\":\"1039\"},\"view\":{\"id\":\"1042\"}},\"id\":\"1041\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1016\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1015\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1018\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1045\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1011\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.2},\"fill_color\":{\"field\":\"SrcID\",\"transform\":{\"id\":\"1036\"}},\"hatch_alpha\":{\"value\":0.2},\"hatch_color\":{\"field\":\"SrcID\",\"transform\":{\"id\":\"1036\"}},\"line_alpha\":{\"value\":0.2},\"line_color\":{\"field\":\"SrcID\",\"transform\":{\"id\":\"1036\"}},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1040\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"x\",\"coordinates\":null,\"formatter\":{\"id\":\"1048\"},\"group\":null,\"major_label_policy\":{\"id\":\"1049\"},\"ticker\":{\"id\":\"1016\"}},\"id\":\"1015\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_color\":{\"field\":\"SrcID\",\"transform\":{\"id\":\"1036\"}},\"hatch_color\":{\"field\":\"SrcID\",\"transform\":{\"id\":\"1036\"}},\"line_color\":{\"field\":\"SrcID\",\"transform\":{\"id\":\"1036\"}},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1038\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"tooltips\":[[\"index\",\"$index\"],[\"(x,y)\",\"($x, $y)\"],[\"SrcID\",\"@SrcID\"]]},\"id\":\"1029\",\"type\":\"HoverTool\"},{\"attributes\":{\"overlay\":{\"id\":\"1028\"}},\"id\":\"1024\",\"type\":\"LassoSelectTool\"},{\"attributes\":{},\"id\":\"1046\",\"type\":\"AllLabels\"},{\"attributes\":{\"data\":{\"SrcID\":[\"1\",\"1\",\"1\",\"1\",\"1\",\"1\",\"1\",\"1\",\"1\",\"1\",\"1\",\"1\",\"1\",\"1\",\"1\",\"1\",\"1\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"2\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"5\",\"5\",\"5\",\"5\",\"5\",\"5\",\"5\",\"5\",\"5\",\"5\",\"5\",\"5\",\"5\",\"5\",\"5\",\"5\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"6\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"7\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"9\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"10\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"11\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\",\"12\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548],\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[549]},\"y\":{\"__ndarray__\":\"2vw/ytahJUBMa47xOSAmQEwGZGtN7hBAxw5CajMQFUBJ8fYYhvscQKNp/QZt3BdATpr6SZKYJkCBEcb97vsXQNdrUV3i6hdAYuMQDWLPIEDAfx7CuKIjQALQCbZCMSRARLHKH4ryI0CNHvyrZ0ETQN+Ex5XCNx5A2lGlcNlJH0DEDFkLwNgcQNCvNjLXqyxAk5NW9IeMI0DjwLCMfq0kQNnMcpQ19ipAcF45WrDyHkDa5vXbyQ0tQL5zsf0GcCBAqTt5C3+HIUBb3Jx5azAgQDjV2wHlmQNAIFlO9nxRJ0ABOEbcQgAlQBDVpIgjByZAsvR/9ftxJUBZVe4S7SwnQOCKe2sWpCNAzy7zQnyZ+D8TAq6tB8EOQBxlFXSj5iBA8wuXSxrTC0B1BJyCz8IQQKNcIsqMNClAzJTk1ogjJEDh+kyxMMEKQH7IL9xwlhJAtpYzJlDkJUCWMAVqoyUcQMT0cuTZdCtAQOdpikUzHkD7utMkVYkWQKlycCctii1AS8BR4XM7CUAuCPADqHUrQEy5JeP24ytALRPa3dTVIkDT1q7ZLygZQPChj/s0MxZAHkb+Gx+kFUAuRsaExqkYQHj8wWVvLx1A5uUPuXqYGUDanqsnDHgUQDeo1HLRvxNA2WAuNBvNG0B/AirIe+kSQF/VjoyQ+RlAHQKXPYXEGUAMi8GNW14YQJK4+eUk/R1AjbFZ2l6GGEDwejySrpYcQCPS1WcJbiBAsOXqf0FEF0BY41jcc+sZQPAOarOoWxtARF1f2uG0G0A1k3hVszMcQMMpuDVrRRdA4rMJXYV/GUC0UNKvXbETQOJjm6166BdAmB9DuhVIFUAzx5XNUYcdQDmb2PHJWBpAorxV5Zk0IEAGFQnrMKkaQH49BYoz1xlAH4K39YeLHUAqlZJDJswYQOLPFIzUIhlAswhbGsLvF0AxfxOkkSETQEEWCoJ06BZAvOR5UNT5DEBOq0l4ynYUQHJLyyU2lRtAA+pPuIDSFUANyG4AyWUWQAnZj+qi6BpARoExQ8AdF0CEKKZmFH8TQF+db6fYAB1AxZ6fW+RWHUDat19OLP8UQCKvoKX90BdAan5vaTwIF0AwkuzEiVcTQEyQc/lb3BlA+Q3bMXd0EEA8HL5LqosVQMAtOxbByRZAMdaXZHHqEkCNsH6yI64dQKqzSacMyRdASosLjuJxHkB2ccqrGzIdQA4hoDzxfRxAJzfSzQqvHkDV+L0w7xQYQGHz86BUMhlApvoHzStJG0CwitUFhpYSQH400ub+RxpA32wy5YdIHkCDDyFFqMEaQFZVwrbLuQ5AI/mH41YOHEC9PY+yLQoeQFXs57MyJhlA3SFbnWzRH0BB/rJIaSEdQHwqKbkNyxxAJSttJQADGkDdQWU/kuYgQE1n9rWXZxtA2NLklhSAEEDVqrnTrSIVQBms6vbXKxpAsyZhjtjoGUCo59Xz5qIfQGKgVmXaARlAZ+wL5+jIFUBT5fJzOIEdQC7l5ZhaYxBAqZKK+toKGkDgG+wQaBIYQLg/xjLyXCBAZiJUO6JnFkDYbfRt1YAcQMxTgmmYhRdAnODIzf9PF0BCP3oK7MIZQENk1lr6RR9A2xpwmSrIEEAdndn7cI8WQNeF1Hj+zx1ALGblnT6LGkCjxr2BZW8YQM2ruFbeAxdAR+8xcSWAEkCY3wP411YRQH348DrAxhxAEsPE1feOFkBfqNuUInkXQI8KOayihBNA3CAhPMqqEkC+nZgzNxUgQOxcnLHPGiFAbfOOU8RgG0BjjpY5w2QcQESh8mykLBhADCE8pFt0FkCGifMi4oAdQEd5IBhdzhJAUZ1QCLQbHEAzTBSpSIAdQML7lV7C3hNA+SJDQp/XGEADbRE9SCoWQEPzbXTqaRZAA37ItUDOFUB7LrGYfHQfQBoHSH/+DQdAKlw6Uxh0C0AQRWF/cHMYQFR9iZAWWRRAIJGCAXnFF0Cc8+ef3v4TQHj4zml56hZAkcdd5tvW9j9yWFu4HIsIQEYp/P/ynhdAGNUeGcamEkBUCx9ffD0QQOp0sSONNxJAmKABpBBW7T8JBWJG5V0MQPUTiejz2AJAhjXrrjI1HEBX6fDllj8aQNdp6hdguhtAGCEjUCCYH0DaPZTcFMMhQEYvl40qWw1AU2BLdvx/CEDSv/zRrzQfQO48urRNoxJADB4jlsRfFUCohex0zT0fQPJjf6fgsxlAL6xnF/iFHEC7/RcLa2IeQD5WrqreaRVAJy2d/OpAFkACIRBc4e0WQLfivhfzvh5AYOByXE4fHUBWsdIkv4MeQJhBS5z/4xZAJqteVtTdHEBx6fvv7isHQGHGZvuMMyFAP1QASF6GFECA4TWhxkMEQJSSEwHRdxRAGU4OIb4yGECNIIj7nQsVQNGoOutV/SJA3EqkfAwYGED/35QzeHwXQKbfO6uScCBADopcY2dJHUDayjYDTVYbQGBT0roAMiJA4jtMNejlH0A7Qtp8uPUQQANVywAVbRZAqjiQVF15GUBheCf+Ob4WQCv3fyrrnRpAXMqkeXMxCEBszmWAmfARQBQ+uKmQCRdAFNjv7xPxFEAnM/jmSysWQNeWAmzg1iFAhjO/3AYsDEDAvLa+g9MdQIcIqza5yhdARotRQRlUEEBO//EC7kULQNp2id3gThpAhmHTnbsbHkAn478K+t8jQINMpHg1HytA17/Tv9VsK0B2RhMB2SMfQD9bYkLRMBZAko+42AfwFEDXZGy0p5kYQG6+KjkLVBdAAqk3d/amJECElhtVEjopQPICYoroOSRA2q8BbKJDIUDN3oF8Pt0sQMIK4/qOyR5Ar5ciYjMgK0DGwxQKmcMhQMt3on+xnydArT6OQVLWIUByqCsE6YkeQJB7DJG5Li1Ai/o5HwPcK0DIf7gL2rgrQOq4BS0lchxADPSkO4tQJEDpfkdGDbkVQJ2rJoQh1ihAUtnFiVN7JUDKmj/d24wkQIqfVpiVyCtA/QT96MpeHkCmf+jmMPknQI5uDOKi3hlA9/FUPiOGKUCmTVvPUqQgQNZPqolV4BZAAEs05rVbKUCpgZhJOQ4sQMG5N8QA7B5A3IyaljknJkCRWczW4vwaQMHU/DfuiCRAgBnwrqFBLUDo8LbkKWApQNNLdHBpyBpAu7Hx0qmGHUDR4zkXLs8pQHrJ2iHkCyRAvPScL3Z2KECSpuBb4fIqQMccdlIsXyFAWXO7MqdMKkBrmQ9olDcjQCkEOF6tyiBAua0WeO1eIkDh6fP/LsIpQHvwktaiDhtA4LxPch91IEBgFI7RKYMmQHD1vTJP4CxAIhfSzMIIHUCnRS0appojQAXPr53DpiNAjrrAWSj1GECAVml0BGcsQPiVrakrDSRA5N1YQncRKUCSwgqY22EfQF5Mkf3i/RVAVAJd0Dn1J0Cx0Az4UrobQEaQpuGRSBxAAUogmyUAI0AN/6x9tt8qQAdD6dctzCJAJX7JyfNFKUDI/NHZWgAXQKE6A+V37iNAMUfl1R8NH0CzN36pwNUpQOK0LWYlUyxAMhjdwBxYIkBfMar75kMQQNDJ19l2oyVAln+E/u3GHEAwxUha3GkZQPkEXMSIyxhALvOz8b3RK0Ah7+upeL4bQMDos01dnglA47oj12Q9FkBs02M665YPQOjehXVYnhJAM/HuAlsH9T9Kj1jXi5MXQFNTtbVOLxRAEr7ccXtoB0Byh2W8zkIPQE/pVbWj2v4/w0eEPcsVD0DBXsafMZ4ZQFm/7lmQ+hBAdBag1iukAUCwbCLBYYcUQF7bXuJpLgRAmWmJEKx//T/ChQOjuwoRQLwRn76K7QlAQF1zyO8qEUCootIg80UDQGY5CdXiXAlAXVpQIB9j8z+HVFeQumsTQBP7pUirPBZAKYypL47pCUCOQDuRjmwbQAl60+qHIRdA7exCuCMoFUCkNeMGpwENQMhh+7ndBw1ASK6rlNNbGUBSPsm6jeAPQLlUysCamwtAVFfdpL6bFUBuYfll5usOQLxdKbFN+RRAcyAVk9zcGEDBjN1vEuUEQKyW48Kh8RFAjmkZ97wUGEBE/+xZPbATQKa0X5Qb+A5A5l39dPgBG0BVzMpBIckNQH36bBp6gA5AGCnx49i9EkCx+K3mL+ASQJfOhKcd7xNAWmrNXBUzFUDuXfBlPVQQQKgesEw0qQdAd1SbJD4pDUCCPfG4UosYQNwWU9wyuwdAYmtvA1uKFUA0/qYe1tcVQOkOMiqkcP8/RN6gjumnEkCjJ7n546sVQJUHQWZB3vg/R7zjpXbQAkDNYbmKoXQEQNpaqS7ldwNAgqo1tFTAE0CidehluRcPQE6UATVmUg1AGFrgtMeDCkAU07AVu3EBQKa9+A643vY/g4EdxQKOJ0AM6Qy5MVsNQPC4+WcRLyVAIPM14DdrE0AamULSMQQfQOM9G0WQNBJAnCNQa4AKJUBOa8/Z5V8RQCoElgzYfCFA5IU7x9j7IED/MKv7xHAiQJW/bAo6BCBA0Y7/hf+MEUDc734PGlMWQKbHfl7iICZAEez1rgh+JkDyjcQul8YJQMFG/7P29R5AlLJu9vOtIkDSCIqMKxEHQLRX8tjzZilAEzcE9xFlEEAGTrXxdVwgQHEv3wto2h9AafVmJuWfJEAtypBAg4UeQPJTyqVm9xdAkHJny9AeE0A+9nUkDYEOQHQhpHmo6RlA9V5SemwqGUAXmubuF+0HQEEXKs9ZtCBAdYZ+QHsBFUANY2coKWEWQB03BEA+SgJAnIQ7a5oxEkC7ZW7LV1UWQGEqUnCrowZAxL/f6BtYJUDycJzsi+obQNl+voEmMwlA7148lps3FUD0lnIwUqQgQPtO69VvgRdA+lJI6CcKGECFx+9EAQAOQDVZO/goqhNAabsENFktFECLH+gxxrwaQNX1ZoFENRdAG+CDKTYvIEDXQdBBVQwaQMGXU8ze6RtALzELm+UkHUAVtjSDAM8UQLvWDjuHOSFAXveTFAVBH0B+woES0aogQIPDgZudwhRASoS8M/LYE0ByPq2tF3QZQNxpvmTcGhpArdO3uiyRG0Dx/TmvvkYTQAvnrA+60htAmyMhnn4jHEDmnytwJOsVQH3JOQLWJSFAa6DfNcjpDkCFEAowUF4WQKeHZFG6lRNAg/+obEpyIkCG+kxhimUgQLleVJd8OxZAeQ4YrFZjE0CMdRXqM9ccQHtCme4nMBdA8nAGP/bhIECNYqpzexEbQN5X27uFPSBAlHCQZgZxGED9PKSIc/YUQClZvREjNRdAZ7nR2DFoDkBKEtHG98EfQMtH753VeBpAo5feZ4YmIEBTcs39/YsWQGn9Nv10sh9AV7QUm9huHED7nI04c3cRQIhbUtR/HxFADS8vQ3qQDUD4zcXhfnIgQKFfDg4rORdAtVxvQkXyDUATAz1D0GAeQDvB2dR9tBJAQzCVwkvVGED3OwOuoKQNQDk+lTm0LhJAD6G1WQfDG0Cc6+b7YSsTQCyJxkuABBJAbMSzuLiqIkBP+f+H4f4iQP606uNOySZAQCbIwJ5+JkAjZ/utgX4UQPyWWizschxAVGAvmbJHIkCt1rnC2qUYQNWXm+mX4CRAfYhhK1mUH0AeLywlYaQmQAQWuGEMDx1AqI/iHM4KI0BrmwzczZkeQJTfca5y7SFArg2OWZinGUBvNwEtTxAcQBP6DIQzJRtAg3wytYZEH0ARFCI+2vUjQBfaK8hhIR1AmW1pk71ZFUCVQa7EVhYfQCPplXFavxhA7vb3E/G+E0BV+nfoqfUkQCcUTqTX/RRAIw9d1a3uHEBR+WcgYg0XQApUReXwrhxAwjoj9NjxHkCVKB6NFBMlQDcfh63Y1iVAENBaDZX5I0A96uVCLMEjQPWQ75NuBiZA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[549]}},\"selected\":{\"id\":\"1051\"},\"selection_policy\":{\"id\":\"1050\"}},\"id\":\"1003\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"field\":\"SrcID\",\"transform\":{\"id\":\"1036\"}},\"hatch_alpha\":{\"value\":0.1},\"hatch_color\":{\"field\":\"SrcID\",\"transform\":{\"id\":\"1036\"}},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"field\":\"SrcID\",\"transform\":{\"id\":\"1036\"}},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1039\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"y (km/s)\",\"coordinates\":null,\"formatter\":{\"id\":\"1045\"},\"group\":null,\"major_label_policy\":{\"id\":\"1046\"},\"ticker\":{\"id\":\"1020\"}},\"id\":\"1019\",\"type\":\"LinearAxis\"},{\"attributes\":{\"source\":{\"id\":\"1003\"}},\"id\":\"1042\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1048\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis\":{\"id\":\"1019\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1022\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1020\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1049\",\"type\":\"AllLabels\"},{\"attributes\":{\"label\":{\"field\":\"SrcID\"},\"renderers\":[{\"id\":\"1041\"}]},\"id\":\"1055\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"1026\",\"type\":\"CrosshairTool\"},{\"attributes\":{},\"id\":\"1023\",\"type\":\"PanTool\"},{\"attributes\":{\"overlay\":{\"id\":\"1027\"}},\"id\":\"1025\",\"type\":\"BoxSelectTool\"},{\"attributes\":{\"factors\":[\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\"],\"palette\":[\"#1f77b4\",\"#aec7e8\",\"#ff7f0e\",\"#ffbb78\",\"#2ca02c\",\"#98df8a\",\"#d62728\",\"#ff9896\",\"#9467bd\",\"#c5b0d5\",\"#8c564b\",\"#c49c94\"]},\"id\":\"1036\",\"type\":\"CategoricalColorMapper\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1027\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"1050\",\"type\":\"UnionRenderers\"}],\"root_ids\":[\"1004\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n  const render_items = [{\"docid\":\"ac5e7b93-1f02-4937-afbb-d9deab34919c\",\"root_ids\":[\"1004\"],\"roots\":{\"1004\":\"6084e272-4118-4395-b163-50eff4695b96\"}}];\n  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n  }\n  if (root.Bokeh !== undefined) {\n    embed_document(root);\n  } else {\n    let attempts = 0;\n    const timer = setInterval(function(root) {\n      if (root.Bokeh !== undefined) {\n        clearInterval(timer);\n        embed_document(root);\n      } else {\n        attempts++;\n        if (attempts > 100) {\n          clearInterval(timer);\n          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n        }\n      }\n    }, 10, root)\n  }\n})(window);",
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1004"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ce3f951d-1c2d-4759-93d0-5f776766b011",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div class=\"bk-root\" id=\"2754ddf6-b179-4a64-bb5e-e2763da75b82\" data-root-id=\"1124\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": "(function(root) {\n  function embed_document(root) {\n  const docs_json = {\"df68eae9-c958-4cea-b6ce-5ba8cb91aaff\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"background_fill_color\":\"#440154\",\"below\":[{\"id\":\"1135\"}],\"center\":[{\"id\":\"1138\"},{\"id\":\"1142\"}],\"left\":[{\"id\":\"1139\"}],\"match_aspect\":true,\"renderers\":[{\"id\":\"1162\"}],\"title\":{\"id\":\"1125\"},\"toolbar\":{\"id\":\"1150\"},\"x_range\":{\"id\":\"1127\"},\"x_scale\":{\"id\":\"1131\"},\"y_range\":{\"id\":\"1129\"},\"y_scale\":{\"id\":\"1133\"}},\"id\":\"1124\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis_label\":\"x\",\"coordinates\":null,\"formatter\":{\"id\":\"1180\"},\"group\":null,\"major_label_policy\":{\"id\":\"1181\"},\"ticker\":{\"id\":\"1136\"}},\"id\":\"1135\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1180\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data\":{\"counts\":[1,2,1,1,1,1,1,1,1,2,1,1,1,1,1,1,1,2,1,1,1,1,2,1,1,2,2,2,1,2,1,2,2,2,1,1,3,1,1,2,2,2,1,3,2,1,2,1,2,2,1,1,1,2,3,1,1,1,1,4,2,3,2,1,1,2,2,3,2,1,2,3,6,1,2,3,6,4,3,1,1,2,2,2,1,1,1,3,5,3,3,2,1,1,4,2,5,4,1,1,3,1,5,2,4,2,2,5,4,5,1,3,2,4,4,1,2,1,1,1,1,3,7,5,2,1,2,1,3,3,2,1,2,1,1,3,4,1,1,1,1,1,1,2,1,4,6,2,1,3,7,1,1,1,1,3,5,2,3,1,1,1,3,1,1,2,1,1,1,2,2,2,7,4,3,1,1,2,1,3,6,1,3,1,1,1,1,4,3,1,1,2,2,4,4,3,2,1,2,2,2,1,1,3,2,1,2,2,3,1,1,2,1,2,2,1,1,1,1,1,1,2,1,1,1,1,2,2,1,2,1,1,2,1,1,1,1,2,1,1,1,1,1,1,1,2,2,1,1,2,1,1,2,1,1,1,1,1,2,1,1,3,1,1,1,1,2,1,1,1,1,1,2,1,2,1,1,1,1,2,1,1,1,1,1,1,2,1,2,1,1,1,1,1,1,1,1,1,2,1,1,1,1,1,1],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304],\"q\":[5,6,6,6,7,9,9,9,10,10,10,11,12,13,13,13,14,14,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,19,19,19,19,19,20,20,20,21,21,21,21,21,22,22,22,22,22,23,23,23,23,23,23,23,24,24,24,24,24,24,25,25,25,25,25,26,26,26,26,26,26,27,27,27,27,27,28,28,28,28,28,28,28,29,29,29,29,29,29,29,30,30,30,30,30,30,31,31,31,31,31,31,32,32,32,32,32,32,32,33,33,33,33,33,33,33,33,34,34,34,34,34,34,34,35,35,35,35,35,35,35,35,35,36,36,36,36,36,36,37,37,37,37,37,37,38,38,38,38,38,38,39,39,39,39,39,39,39,39,39,40,40,40,40,40,40,40,41,41,41,41,41,41,41,41,41,42,42,42,42,42,42,43,43,43,43,43,43,44,44,44,44,44,44,45,45,46,46,46,46,46,46,47,47,47,47,47,47,48,48,49,49,50,50,51,52,52,52,52,53,53,53,53,53,54,54,54,55,55,55,55,56,56,56,56,57,57,57,58,58,58,58,59,59,60,60,61,61,62,62,62,62,63,63,63,64,64,64,65,65,66,66,67,67,67,69,70,70,70,71,71,71,72,73,74,74,75,76,77,77,78,79,79,79,79,79,79,80,80,80,81,81,81,82,82,83],\"r\":[-8,-10,-9,-6,-13,-16,-12,-10,-16,-15,-9,-13,-16,-20,-17,-16,-20,-17,-16,-15,-24,-21,-19,-17,-23,-22,-21,-19,-25,-24,-23,-22,-21,-20,-19,-26,-23,-21,-27,-26,-25,-24,-20,-26,-25,-24,-28,-27,-26,-25,-24,-31,-30,-28,-27,-26,-33,-31,-30,-29,-28,-27,-25,-38,-33,-32,-31,-30,-29,-35,-33,-32,-31,-27,-36,-34,-33,-32,-31,-30,-37,-35,-34,-33,-31,-39,-38,-37,-36,-35,-34,-32,-40,-39,-38,-37,-36,-35,-34,-40,-39,-38,-37,-36,-35,-41,-40,-39,-38,-37,-35,-42,-41,-40,-39,-38,-37,-35,-45,-44,-43,-42,-41,-40,-39,-38,-45,-44,-43,-42,-41,-40,-39,-46,-45,-44,-43,-42,-41,-40,-39,-38,-48,-47,-45,-44,-43,-42,-48,-47,-46,-44,-41,-40,-49,-48,-47,-46,-45,-44,-52,-51,-49,-48,-47,-46,-45,-44,-43,-52,-51,-50,-49,-48,-47,-46,-55,-53,-52,-51,-50,-49,-48,-47,-46,-57,-54,-52,-51,-50,-47,-55,-54,-53,-52,-51,-48,-57,-54,-53,-52,-51,-49,-56,-55,-59,-58,-57,-56,-55,-54,-59,-57,-56,-55,-54,-53,-63,-60,-61,-60,-61,-60,-58,-65,-63,-62,-61,-69,-66,-65,-64,-63,-66,-65,-63,-71,-67,-65,-61,-69,-67,-66,-64,-70,-67,-66,-72,-70,-69,-67,-72,-70,-70,-68,-73,-71,-75,-74,-70,-69,-75,-73,-71,-77,-75,-73,-79,-76,-78,-74,-85,-80,-79,-85,-85,-83,-82,-86,-84,-83,-86,-88,-86,-84,-90,-91,-92,-90,-93,-95,-94,-93,-92,-91,-90,-97,-96,-93,-98,-96,-95,-98,-96,-97]},\"selected\":{\"id\":\"1183\"},\"selection_policy\":{\"id\":\"1182\"}},\"id\":\"1157\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"tools\":[{\"id\":\"1143\"},{\"id\":\"1144\"},{\"id\":\"1145\"},{\"id\":\"1146\"},{\"id\":\"1149\"}]},\"id\":\"1150\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"tooltips\":[[\"index\",\"$index\"],[\"(x,y)\",\"($x, $y)\"],[\"SrcID\",\"@SrcID\"]]},\"id\":\"1149\",\"type\":\"HoverTool\"},{\"attributes\":{\"end\":6},\"id\":\"1127\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"1136\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1181\",\"type\":\"AllLabels\"},{\"attributes\":{\"axis\":{\"id\":\"1135\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1138\",\"type\":\"Grid\"},{\"attributes\":{\"overlay\":{\"id\":\"1148\"}},\"id\":\"1144\",\"type\":\"LassoSelectTool\"},{\"attributes\":{},\"id\":\"1129\",\"type\":\"DataRange1d\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"Random Data\"},\"id\":\"1125\",\"type\":\"Title\"},{\"attributes\":{\"axis_label\":\"y (km/s)\",\"coordinates\":null,\"formatter\":{\"id\":\"1177\"},\"group\":null,\"major_label_policy\":{\"id\":\"1178\"},\"ticker\":{\"id\":\"1140\"}},\"id\":\"1139\",\"type\":\"LinearAxis\"},{\"attributes\":{\"high\":7,\"low\":0,\"palette\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45065A\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460C5F\",\"#460E61\",\"#470F62\",\"#471163\",\"#471265\",\"#471466\",\"#471567\",\"#471669\",\"#47186A\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481D6F\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#482374\",\"#472575\",\"#472676\",\"#472777\",\"#472878\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462D7C\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45327F\",\"#45347F\",\"#453580\",\"#453681\",\"#443781\",\"#443982\",\"#433A83\",\"#433B83\",\"#433C84\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#414286\",\"#404387\",\"#404487\",\"#3F4587\",\"#3F4788\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4B89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B508A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39548B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#37598C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#355D8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#33618D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31658D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F698D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2E6D8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2C728E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A768E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277D8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#26818E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#24868D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#22898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218D8C\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#20918C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F958B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9D88\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA187\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#20A585\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A883\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#26AC81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2BB17D\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#30B47A\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#36B877\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3DBB74\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#44BE70\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4BC26C\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#55C666\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#5EC961\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#67CC5C\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#70CE56\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#79D151\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#86D449\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#90D643\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9AD83C\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A5DA35\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#AFDC2E\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BADE27\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#C7E01F\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D2E11B\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DCE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E7E419\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F1E51C\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FAE622\",\"#FDE724\"]},\"id\":\"1156\",\"type\":\"LinearColorMapper\"},{\"attributes\":{\"axis\":{\"id\":\"1139\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1142\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1140\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"field\":\"counts\",\"transform\":{\"id\":\"1156\"}},\"hatch_alpha\":{\"value\":0.1},\"line_alpha\":{\"value\":0.1},\"q\":{\"field\":\"q\"},\"r\":{\"field\":\"r\"},\"size\":0.1},\"id\":\"1160\",\"type\":\"HexTile\"},{\"attributes\":{},\"id\":\"1146\",\"type\":\"CrosshairTool\"},{\"attributes\":{\"fill_color\":{\"field\":\"counts\",\"transform\":{\"id\":\"1156\"}},\"q\":{\"field\":\"q\"},\"r\":{\"field\":\"r\"},\"size\":0.1},\"id\":\"1159\",\"type\":\"HexTile\"},{\"attributes\":{},\"id\":\"1143\",\"type\":\"PanTool\"},{\"attributes\":{\"overlay\":{\"id\":\"1147\"}},\"id\":\"1145\",\"type\":\"BoxSelectTool\"},{\"attributes\":{\"source\":{\"id\":\"1157\"}},\"id\":\"1163\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1133\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1182\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1147\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"1183\",\"type\":\"Selection\"},{\"attributes\":{\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"syncable\":false,\"xs_units\":\"screen\",\"ys_units\":\"screen\"},\"id\":\"1148\",\"type\":\"PolyAnnotation\"},{\"attributes\":{},\"id\":\"1131\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.2},\"fill_color\":{\"field\":\"counts\",\"transform\":{\"id\":\"1156\"}},\"hatch_alpha\":{\"value\":0.2},\"line_alpha\":{\"value\":0.2},\"q\":{\"field\":\"q\"},\"r\":{\"field\":\"r\"},\"size\":0.1},\"id\":\"1161\",\"type\":\"HexTile\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1157\"},\"glyph\":{\"id\":\"1159\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1161\"},\"nonselection_glyph\":{\"id\":\"1160\"},\"view\":{\"id\":\"1163\"}},\"id\":\"1162\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1177\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1178\",\"type\":\"AllLabels\"}],\"root_ids\":[\"1124\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n  const render_items = [{\"docid\":\"df68eae9-c958-4cea-b6ce-5ba8cb91aaff\",\"root_ids\":[\"1124\"],\"roots\":{\"1124\":\"2754ddf6-b179-4a64-bb5e-e2763da75b82\"}}];\n  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n  }\n  if (root.Bokeh !== undefined) {\n    embed_document(root);\n  } else {\n    let attempts = 0;\n    const timer = setInterval(function(root) {\n      if (root.Bokeh !== undefined) {\n        clearInterval(timer);\n        embed_document(root);\n      } else {\n        attempts++;\n        if (attempts > 100) {\n          clearInterval(timer);\n          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n        }\n      }\n    }, 10, root)\n  }\n})(window);",
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1124"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p2 = figure(title=\"Random Data\", x_axis_label='x', y_axis_label='y (km/s)',\n",
    "          tools=\"pan,lasso_select,box_select,crosshair\", tooltips=TOOLTIPS,\n",
    "           match_aspect=True, background_fill_color='#440154', x_range=(0,6))\n",
    "bins = hexbin(x1D, y1D, 0.1)\n",
    "p2.hex_tile(q=\"q\", r=\"r\", size=0.1, line_color=None, source=bins,\n",
    "           fill_color=linear_cmap('counts', 'Viridis256', 0, max(bins.counts)))\n",
    "show(p2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "832af2b7-1b0b-45d7-b107-58ecdd1fb14d",
   "metadata": {},
   "source": [
    "### Plotly\n",
    "This is becoming a more and more popular package. It has MANY different built in plots, almost any you could possibly want or think of. You can also add interactivity, and export in different forms. It is built on top of javascript, and so directly integrates also into JupyterLab.\n",
    "\n",
    "Here, we will focus on plotly express. However, you can use full plotly as well and experiment with it!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a616768f-d8fa-47b1-b3a1-5eff287ad16e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.express as px"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7bf4bb95-5203-4e06-b476-43ddf5aff13f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "SrcID=1<br>x=%{x}<br>y=%{y}<extra></extra>",
         "legendgroup": "1",
         "marker": {
          "color": "#636efa",
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "1",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          3.8913632562654996,
          4.262151355482432,
          1.6310897391359478,
          1.9849489311447686,
          2.9523886166784137,
          2.541590036318883,
          4.270743089472993,
          2.8987488205863485,
          1.8068361342759758,
          3.042501302326855,
          3.3673738894498424,
          3.7539014725993693,
          4.184801325790901,
          2.0681033295061013,
          2.7940459700188347,
          2.613143610109208,
          3.0054720538397035
         ],
         "xaxis": "x9",
         "y": [
          10.816091842947959,
          11.062942074427745,
          4.232717206935899,
          5.265821132928699,
          7.245628728935409,
          5.9652596561594775,
          11.297991096345097,
          5.996028866972098,
          5.979379137129363,
          8.4050449450603,
          9.817815843794847,
          10.096212090204066,
          9.973710053913813,
          4.8138720390922005,
          7.554453220656085,
          7.822118530359569,
          7.2116700909711575
         ],
         "yaxis": "y9"
        },
        {
         "hovertemplate": "<b>OLS trendline</b><br>y = 2.54402 * x + 0.213876<br>R<sup>2</sup>=0.891745<br><br>SrcID=1<br>x=%{x}<br>y=%{y} <b>(trend)</b><extra></extra>",
         "legendgroup": "1",
         "marker": {
          "color": "#636efa",
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "1",
         "showlegend": false,
         "type": "scatter",
         "x": [
          1.6310897391359478,
          1.8068361342759758,
          1.9849489311447686,
          2.0681033295061013,
          2.541590036318883,
          2.613143610109208,
          2.7940459700188347,
          2.8987488205863485,
          2.9523886166784137,
          3.0054720538397035,
          3.042501302326855,
          3.3673738894498424,
          3.7539014725993693,
          3.8913632562654996,
          4.184801325790901,
          4.262151355482432,
          4.270743089472993
         ],
         "xaxis": "x9",
         "y": [
          4.36339418602906,
          4.810495817570426,
          5.263617612842433,
          5.475163728184203,
          6.6797214601392225,
          6.861754892795296,
          7.321973380923225,
          7.588339102271129,
          7.724799598824701,
          7.859844709387146,
          7.954047707975907,
          8.780528749763546,
          9.763861084541738,
          10.113566054039088,
          10.860077181829922,
          11.056856890724104,
          11.0787143989927
         ],
         "yaxis": "y9"
        },
        {
         "hovertemplate": "SrcID=2<br>x=%{x}<br>y=%{y}<extra></extra>",
         "legendgroup": "2",
         "marker": {
          "color": "#EF553B",
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "2",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          5.940005477920129,
          3.668777195735585,
          4.80449933442296,
          5.611666862219884,
          2.7334924789819546,
          5.965660418840674,
          2.33638289109231,
          3.0256531843457317,
          3.393463278761579,
          0.6774839677372105,
          4.687213388999397,
          4.223551392915326,
          4.760696708008229,
          4.442698407127176,
          4.3396808820102635,
          3.4926497351207,
          0.7212425763480201,
          1.3306524969458118,
          3.1500830369898973,
          0.734617118371091,
          1.1996683446987668,
          5.462402058487892,
          4.03266333111665,
          0.7976876382911522,
          1.1223321888065323,
          4.718707956176605,
          2.5478002094616987,
          5.261404826119101,
          2.800981817152028,
          2.352393483878042,
          5.707796406348017,
          1.1809765061495372,
          5.690155614097989,
          5.505478076237249,
          3.789906469522174
         ],
         "xaxis": "x10",
         "y": [
          14.335626191306716,
          9.774474750107208,
          10.338856121612883,
          13.48087753201837,
          7.737000856162567,
          14.526930688636117,
          8.218803337012897,
          8.7646411500444,
          8.094569969556849,
          2.4501438279354737,
          11.659156510414107,
          10.500510104724528,
          11.01394297611344,
          10.72262541949235,
          11.587746230691367,
          9.82048354991042,
          1.5374720206481702,
          3.8442529267051753,
          8.450465800868692,
          3.4780774980040348,
          4.190244713566348,
          12.602636639303745,
          10.0694033769636,
          3.3443311549775534,
          4.646914902130559,
          10.945923990056468,
          7.036756187979469,
          13.728224886925439,
          7.550069964135957,
          5.634113860533712,
          14.769875748135137,
          3.154029617602679,
          13.729797480631614,
          13.9452429755735,
          9.417639668341133
         ],
         "yaxis": "y10"
        },
        {
         "hovertemplate": "<b>OLS trendline</b><br>y = 2.19471 * x + 1.33959<br>R<sup>2</sup>=0.967576<br><br>SrcID=2<br>x=%{x}<br>y=%{y} <b>(trend)</b><extra></extra>",
         "legendgroup": "2",
         "marker": {
          "color": "#EF553B",
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "2",
         "showlegend": false,
         "type": "scatter",
         "x": [
          0.6774839677372105,
          0.7212425763480201,
          0.734617118371091,
          0.7976876382911522,
          1.1223321888065323,
          1.1809765061495372,
          1.1996683446987668,
          1.3306524969458118,
          2.33638289109231,
          2.352393483878042,
          2.5478002094616987,
          2.7334924789819546,
          2.800981817152028,
          3.0256531843457317,
          3.1500830369898973,
          3.393463278761579,
          3.4926497351207,
          3.668777195735585,
          3.789906469522174,
          4.03266333111665,
          4.223551392915326,
          4.3396808820102635,
          4.442698407127176,
          4.687213388999397,
          4.718707956176605,
          4.760696708008229,
          4.80449933442296,
          5.261404826119101,
          5.462402058487892,
          5.505478076237249,
          5.611666862219884,
          5.690155614097989,
          5.707796406348017,
          5.940005477920129,
          5.965660418840674
         ],
         "xaxis": "x10",
         "y": [
          2.8264656816221727,
          2.9225030176401736,
          2.9518562221211595,
          3.090277550099505,
          3.802777302126734,
          3.9314844111737335,
          3.9725075249457547,
          4.259979394864283,
          6.467263192784308,
          6.502401757012579,
          6.931262316359046,
          7.338802488453473,
          7.486921828926988,
          7.980009709684588,
          8.253096810678612,
          8.787245194304212,
          9.004930430197263,
          9.391478646743856,
          9.65732194335602,
          10.190102189980795,
          10.609045605111586,
          10.863915837961137,
          11.090009148271552,
          11.62664795423434,
          11.695769309477612,
          11.787922327972673,
          11.884056270184523,
          12.886830070072953,
          13.327960155249414,
          13.422499404147981,
          13.655552703704647,
          13.82781253730203,
          13.866528912130299,
          14.376159847413057,
          14.432464932513493
         ],
         "yaxis": "y10"
        },
        {
         "hovertemplate": "SrcID=3<br>x=%{x}<br>y=%{y}<extra></extra>",
         "legendgroup": "3",
         "marker": {
          "color": "#00cc96",
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "3",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2.2820974369940688,
          1.9810363332655232,
          1.9880322459972388,
          1.792183729825237,
          2.5479927639459548,
          2.2910513123232965,
          1.6634459672079718,
          1.793533594085998,
          2.4420658022809136,
          1.7160739464105712,
          2.555022648068422,
          2.5380767940177646,
          2.1809753143731943,
          2.7782372950856984,
          2.1945109180187963,
          2.711205221449578,
          2.6956837843571924,
          2.5842975795893457,
          2.233891851338938,
          2.37016212619057,
          2.4067240297286943,
          2.82157019004846,
          2.111749765310864,
          2.265391004785413,
          1.6811846861494122,
          2.218962747932925,
          1.805920260537746,
          2.656074864522007,
          2.352713554759213,
          2.8273559140019677,
          2.7949125734270512,
          2.4352916021607074,
          2.690907803473479,
          2.5468038334970164,
          2.3149349677636657,
          2.305277098529926,
          1.6250873381822055,
          2.0671127630581716,
          1.5122177782516084,
          1.5781644733145157,
          2.705079410172446,
          1.726666767684688,
          1.6636464832043452,
          2.420604943511057,
          2.025954543921367,
          1.6977519948635742,
          2.3971337382414792,
          2.6512070835840795,
          1.7815668856804625,
          2.164930955589738,
          2.0340087961971145,
          1.7049410270377123,
          2.3042294424598264,
          1.4789638698993954,
          1.6976833338439854,
          1.570783689068884,
          1.6451700537352532,
          2.801179548449918,
          2.2051540751610323,
          2.814821566250255,
          2.750864519727086,
          2.187455937249754,
          2.7526259457365883,
          2.338731569628513,
          2.103403290723919,
          2.71609754871417,
          1.7812630405924172,
          2.55967407722809
         ],
         "xaxis": "x11",
         "y": [
          6.289245034500442,
          5.550006800309788,
          5.410274922747275,
          6.165796351052945,
          7.296323385205248,
          6.398905650706615,
          5.117233867502103,
          4.9373224203391635,
          6.950299086886127,
          4.7280112529412,
          6.49371547338282,
          6.441914522496998,
          6.092146124780594,
          7.49721106850315,
          6.131221210216961,
          7.1471503114141655,
          8.21491550908201,
          5.816656111442555,
          6.479934161114976,
          6.839510730121887,
          6.92664281088884,
          7.050488791927639,
          5.81779178558867,
          6.374532178609089,
          4.923208949290871,
          5.977030480012191,
          5.320395384165657,
          7.3821479914347945,
          6.586707857938387,
          8.10273663207619,
          6.66522567027028,
          6.460157543725812,
          7.38626083309694,
          6.199364715406128,
          6.2840139281943,
          5.984138881498597,
          4.782782138528817,
          5.727006942620904,
          3.6219869887541716,
          5.116006736275109,
          6.895714369328617,
          5.455569152715273,
          5.59939957309872,
          6.727183976201794,
          5.779053735634369,
          4.874101261035438,
          7.250826469600127,
          7.334855491273349,
          5.249192452041791,
          5.9540925864528464,
          5.7580429529476564,
          4.835486485423232,
          6.4651946045669995,
          4.113735941882163,
          5.386391814688121,
          5.697025630342466,
          4.728948184745193,
          7.420058049185298,
          5.946337331651117,
          7.611215800718876,
          7.298933681708482,
          7.122990557931429,
          7.67093965144685,
          6.0204436889600474,
          6.299150957955903,
          6.821456149684911,
          4.646995631369165,
          6.5703083101080875
         ],
         "yaxis": "y11"
        },
        {
         "hovertemplate": "<b>OLS trendline</b><br>y = 2.14621 * x + 1.41262<br>R<sup>2</sup>=0.806638<br><br>SrcID=3<br>x=%{x}<br>y=%{y} <b>(trend)</b><extra></extra>",
         "legendgroup": "3",
         "marker": {
          "color": "#00cc96",
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "3",
         "showlegend": false,
         "type": "scatter",
         "x": [
          1.4789638698993954,
          1.5122177782516084,
          1.570783689068884,
          1.5781644733145157,
          1.6250873381822055,
          1.6451700537352532,
          1.6634459672079718,
          1.6636464832043452,
          1.6811846861494122,
          1.6976833338439854,
          1.6977519948635742,
          1.7049410270377123,
          1.7160739464105712,
          1.726666767684688,
          1.7812630405924172,
          1.7815668856804625,
          1.792183729825237,
          1.793533594085998,
          1.805920260537746,
          1.9810363332655232,
          1.9880322459972388,
          2.025954543921367,
          2.0340087961971145,
          2.0671127630581716,
          2.103403290723919,
          2.111749765310864,
          2.164930955589738,
          2.1809753143731943,
          2.187455937249754,
          2.1945109180187963,
          2.2051540751610323,
          2.218962747932925,
          2.233891851338938,
          2.265391004785413,
          2.2820974369940688,
          2.2910513123232965,
          2.3042294424598264,
          2.305277098529926,
          2.3149349677636657,
          2.338731569628513,
          2.352713554759213,
          2.37016212619057,
          2.3971337382414792,
          2.4067240297286943,
          2.420604943511057,
          2.4352916021607074,
          2.4420658022809136,
          2.5380767940177646,
          2.5468038334970164,
          2.5479927639459548,
          2.555022648068422,
          2.55967407722809,
          2.5842975795893457,
          2.6512070835840795,
          2.656074864522007,
          2.690907803473479,
          2.6956837843571924,
          2.705079410172446,
          2.711205221449578,
          2.71609754871417,
          2.750864519727086,
          2.7526259457365883,
          2.7782372950856984,
          2.7949125734270512,
          2.801179548449918,
          2.814821566250255,
          2.82157019004846,
          2.8273559140019677
         ],
         "xaxis": "x11",
         "y": [
          4.586779276336223,
          4.658149073611525,
          4.783843687850581,
          4.799684384521907,
          4.900390602801975,
          4.94349228343986,
          4.982716191371334,
          4.983146540365505,
          5.020787168213065,
          5.056196694480072,
          5.056344055295433,
          5.071773212176469,
          5.0956667705007295,
          5.118401166076127,
          5.235576112495691,
          5.23622822719172,
          5.259014180839349,
          5.261911270036182,
          5.288495630112438,
          5.66433111019659,
          5.679345792625191,
          5.760734923983595,
          5.778021022989939,
          5.849069014668328,
          5.926956027980726,
          5.944869296788845,
          6.0590071818416815,
          6.093441709707074,
          6.107350473032543,
          6.1224919277432095,
          6.145334354551065,
          6.174970635674254,
          6.2070115937566515,
          6.274615322377289,
          6.310470797387821,
          6.329687674402904,
          6.35797068000784,
          6.360219167630567,
          6.3809469618502055,
          6.432019414235255,
          6.462027659693654,
          6.499475919687933,
          6.5573626036792705,
          6.577945362012639,
          6.607736687355521,
          6.639257308612281,
          6.653796149706106,
          6.859855688449127,
          6.878585728595109,
          6.881137420390744,
          6.896225012482937,
          6.906207945997091,
          6.959055098672117,
          7.102656797615794,
          7.113104067002623,
          7.187862792056487,
          7.198113039451502,
          7.218278004802547,
          7.231425268708042,
          7.2419252196124635,
          7.316542363762467,
          7.320322749992023,
          7.37529002757133,
          7.4110786399090545,
          7.424528870545827,
          7.453807475470211,
          7.468291424462424,
          7.48070879030343
         ],
         "yaxis": "y11"
        },
        {
         "hovertemplate": "SrcID=4<br>x=%{x}<br>y=%{y}<extra></extra>",
         "legendgroup": "4",
         "marker": {
          "color": "#ab63fa",
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "4",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2.634384901525704,
          2.6185158831529565,
          1.5786494582939052,
          2.5319835657473746,
          2.550617339937094,
          2.3861291753212637,
          2.8318185259379485,
          2.7284803850243025,
          2.375430728444672,
          2.4808172945533817,
          3.0074455819433012,
          2.5733036605518236,
          1.6626375095586292,
          1.9596994528812213,
          2.3949391955290826,
          2.5958701089231906,
          2.970564884879882,
          2.1035599570870214,
          1.828221755681378,
          2.71031884402539,
          1.6267248660933962,
          2.2433539130181526,
          2.0021410619220936,
          2.9911471591711165,
          2.1012238383095534,
          2.7731481602596677,
          2.335281707147078,
          1.6686783818002024,
          2.1514731474089337,
          2.9005353789204724,
          1.6347561199289449,
          2.2450927111326417,
          2.7672617904428645,
          2.3612357698660253,
          2.0041820067391494,
          1.992965103035977,
          1.6359007485826629,
          1.7313346201981645,
          2.7417062678359034,
          1.74793196164071,
          2.042158734673828,
          1.6395640812305667,
          1.638153681809168,
          2.6147656535387425,
          3.0572053712142733,
          2.4644536461843143,
          2.8930428309805074,
          2.3114872410760308,
          1.7332976013385508,
          2.6539736037689465,
          1.7027769230724301,
          2.594243015351696,
          2.4394999512458355,
          1.6248680679250638,
          2.006862727489545,
          1.9711299676657206,
          1.7486065751758326,
          1.8852170266729253,
          2.925009369031576
         ],
         "xaxis": "x12",
         "y": [
          7.57083089943191,
          6.689118461745127,
          3.8407205846839743,
          7.014003329443116,
          7.509939947121379,
          6.28730279067084,
          7.954515894591592,
          7.282628189015271,
          7.198294537675448,
          6.502930245197409,
          8.450334530935772,
          6.851164668239858,
          4.125078542438779,
          5.283866222579225,
          6.542816026757486,
          6.477388596229207,
          7.909084138804168,
          6.2518096765635125,
          5.446200952627897,
          7.3761919133188085,
          4.0970252886120715,
          6.510600962360209,
          6.01797510567755,
          8.181535326671892,
          5.6012048025228065,
          7.125814168971793,
          5.8804642186923495,
          5.8281242517333816,
          6.440353549682017,
          7.81833784040015,
          4.195475003688183,
          5.6400794364519955,
          7.453119171115268,
          6.635981051565562,
          6.108785655220035,
          5.753777842542104,
          4.625142830536624,
          4.334808230625548,
          7.194092675168688,
          5.639617290624999,
          5.868295980364649,
          4.879526797276994,
          4.666787089845652,
          8.041436779384522,
          8.552365827882078,
          6.844498925781278,
          7.098400974096509,
          6.043595983799893,
          5.613630834741581,
          7.375862642397243,
          4.701527001363792,
          7.0270539569094845,
          7.375277177680846,
          4.967538335708868,
          6.210568461749738,
          5.5412911931882745,
          5.603433436594801,
          5.45141872440536,
          7.863756547750763
         ],
         "yaxis": "y12"
        },
        {
         "hovertemplate": "<b>OLS trendline</b><br>y = 2.44652 * x + 0.766643<br>R<sup>2</sup>=0.871605<br><br>SrcID=4<br>x=%{x}<br>y=%{y} <b>(trend)</b><extra></extra>",
         "legendgroup": "4",
         "marker": {
          "color": "#ab63fa",
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "4",
         "showlegend": false,
         "type": "scatter",
         "x": [
          1.5786494582939052,
          1.6248680679250638,
          1.6267248660933962,
          1.6347561199289449,
          1.6359007485826629,
          1.638153681809168,
          1.6395640812305667,
          1.6626375095586292,
          1.6686783818002024,
          1.7027769230724301,
          1.7313346201981645,
          1.7332976013385508,
          1.74793196164071,
          1.7486065751758326,
          1.828221755681378,
          1.8852170266729253,
          1.9596994528812213,
          1.9711299676657206,
          1.992965103035977,
          2.0021410619220936,
          2.0041820067391494,
          2.006862727489545,
          2.042158734673828,
          2.1012238383095534,
          2.1035599570870214,
          2.1514731474089337,
          2.2433539130181526,
          2.2450927111326417,
          2.3114872410760308,
          2.335281707147078,
          2.3612357698660253,
          2.375430728444672,
          2.3861291753212637,
          2.3949391955290826,
          2.4394999512458355,
          2.4644536461843143,
          2.4808172945533817,
          2.5319835657473746,
          2.550617339937094,
          2.5733036605518236,
          2.594243015351696,
          2.5958701089231906,
          2.6147656535387425,
          2.6185158831529565,
          2.634384901525704,
          2.6539736037689465,
          2.71031884402539,
          2.7284803850243025,
          2.7417062678359034,
          2.7672617904428645,
          2.7731481602596677,
          2.8318185259379485,
          2.8930428309805074,
          2.9005353789204724,
          2.925009369031576,
          2.970564884879882,
          2.9911471591711165,
          3.0074455819433012,
          3.0572053712142733
         ],
         "xaxis": "x12",
         "y": [
          4.62883423820826,
          4.7419088010712445,
          4.746451487294056,
          4.76610007741703,
          4.76890042960617,
          4.774412266543273,
          4.777862831138564,
          4.8343123401732795,
          4.849091430100003,
          4.932514053138479,
          5.002380912930146,
          5.007183377481304,
          5.042986572496295,
          5.044637025229386,
          5.239416829398422,
          5.378856665517635,
          5.561079104740467,
          5.589044040788322,
          5.642464046425649,
          5.664913175643869,
          5.669906379568819,
          5.67646480548054,
          5.762817047900247,
          5.907320762472484,
          5.9130361141818115,
          6.030256495631123,
          6.255044248652901,
          6.259298245868998,
          6.421733518365401,
          6.47994705769541,
          6.543444084539874,
          6.578172276256324,
          6.604346196535136,
          6.625900050962241,
          6.734918647880813,
          6.795968259054805,
          6.836002184803375,
          6.961181280296747,
          7.0067691049371845,
          7.062271548800202,
          7.113500013038388,
          7.117480723315097,
          7.16370897346179,
          7.17288396980303,
          7.211707775406075,
          7.2596318467029874,
          7.397481372299968,
          7.441913870935447,
          7.474271203389486,
          7.536793195517288,
          7.551194292806813,
          7.694732274693889,
          7.84451850981703,
          7.862849147406577,
          7.922725153098026,
          8.034177446484893,
          8.08453230758479,
          8.124406657874172,
          8.246144772994281
         ],
         "yaxis": "y12"
        },
        {
         "hovertemplate": "SrcID=5<br>x=%{x}<br>y=%{y}<extra></extra>",
         "legendgroup": "5",
         "marker": {
          "color": "#FFA15A",
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "5",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          0.998469272460362,
          1.1528154002984559,
          1.7592709002636762,
          2.0649513677939586,
          1.4832718106676839,
          1.1668715156547083,
          1.7344995313033544,
          0.9172115918602137,
          0.767883368989992,
          1.7694152231686548,
          1.8511249833944226,
          1.0115377568365078,
          1.9876985118074701,
          0.49986491850256065,
          0.5380761174508585,
          0.8093672083536314
         ],
         "xaxis": "x5",
         "y": [
          2.8818330711227533,
          3.431687021463877,
          6.112733831703068,
          5.0870001396100015,
          5.942844413370295,
          4.998896120578959,
          5.728978780038339,
          1.4274558066067338,
          3.0679258730770522,
          5.905223846212101,
          4.662865059382305,
          4.060044752378264,
          4.554249341684434,
          0.916755981755176,
          3.5458474634803037,
          2.3559339682419655
         ],
         "yaxis": "y5"
        },
        {
         "hovertemplate": "<b>OLS trendline</b><br>y = 2.41389 * x + 0.947859<br>R<sup>2</sup>=0.611140<br><br>SrcID=5<br>x=%{x}<br>y=%{y} <b>(trend)</b><extra></extra>",
         "legendgroup": "5",
         "marker": {
          "color": "#FFA15A",
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "5",
         "showlegend": false,
         "type": "scatter",
         "x": [
          0.49986491850256065,
          0.5380761174508585,
          0.767883368989992,
          0.8093672083536314,
          0.9172115918602137,
          0.998469272460362,
          1.0115377568365078,
          1.1528154002984559,
          1.1668715156547083,
          1.4832718106676839,
          1.7344995313033544,
          1.7592709002636762,
          1.7694152231686548,
          1.8511249833944226,
          1.9876985118074701,
          2.0649513677939586
         ],
         "xaxis": "x5",
         "y": [
          2.154478741855265,
          2.2467164078314905,
          2.801446044424725,
          2.9015835073662073,
          3.161908084900439,
          3.358055261840386,
          3.3896011575431997,
          3.7306299775282357,
          3.764559906680879,
          4.528315704180819,
          5.134752016512069,
          5.194547398986917,
          5.219034687881737,
          5.416273135722631,
          5.745946735130021,
          5.932426702320598
         ],
         "yaxis": "y5"
        },
        {
         "hovertemplate": "SrcID=6<br>x=%{x}<br>y=%{y}<extra></extra>",
         "legendgroup": "6",
         "marker": {
          "color": "#19d3f3",
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "6",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2.5803688854785998,
          1.9094172505056668,
          2.4597924012557684,
          2.8760095073589094,
          2.9049222971509545,
          1.2147818698972366,
          1.2551736763845116,
          3.13497530619392,
          1.7249366230878054,
          1.4290817207073907,
          2.703372871561065,
          2.154260495898537,
          3.1783814596964,
          2.571227566119822,
          1.3503257055218336,
          2.167973990667482,
          2.339692795635853,
          2.977969690628508,
          2.059828249098199,
          2.4719134960801656,
          0.9181346836353211,
          3.234975203487025,
          1.2782174297754594,
          2.2950619306035405,
          1.5773084667707744,
          0.9070635153306161,
          1.8075954982602835,
          1.9442723534379531,
          2.013383975932374,
          2.793867920951784,
          2.148540135209017,
          2.6752895822731046,
          2.675668315581323,
          3.3065407314002684,
          2.408360503336815,
          3.335176747110225,
          2.8115913239785524,
          1.4593257422718868,
          1.6937888756976087,
          2.6252789157863248,
          2.7197331587188476,
          2.151310298985045,
          1.6317497884443188,
          1.584686514242821,
          2.1652480554509617,
          1.376557215720673,
          1.9870457353691569,
          3.106729442344114,
          1.1648930962055473,
          2.8754737316117893,
          1.8370748861009212,
          1.4034407695692,
          1.0653694167403538,
          2.277692095868975,
          2.6957527021441035
         ],
         "xaxis": "x6",
         "y": [
          7.051951153856299,
          6.562099068478651,
          6.932007192308865,
          7.898560764450188,
          8.881018536659145,
          3.669514757324495,
          3.0624932519677173,
          7.801451951076119,
          4.659476112238947,
          5.343523355382342,
          7.8103540677415495,
          6.425661675596517,
          7.1308292061831215,
          7.596111462916663,
          5.353388468638114,
          5.563396403401646,
          5.732304991230423,
          7.686474200273259,
          7.280572361480239,
          7.628658843383468,
          5.7226547642643695,
          7.21663031533061,
          2.8964518307449727,
          8.60068498258187,
          5.13121902944573,
          2.5330936998909124,
          5.11700822526895,
          6.049553410051453,
          5.261344843085806,
          9.494796133909775,
          6.023485133674253,
          5.8715522822967605,
          8.219868994768898,
          7.321683456919812,
          6.8342781545822735,
          9.097661817717096,
          7.974518616464566,
          4.239961577245192,
          5.606525432978063,
          6.3685200894380305,
          5.685768099936554,
          6.654217399654764,
          3.0241460326590595,
          4.484960561956182,
          5.759340907926816,
          5.235427617086334,
          5.542281731509127,
          8.919680953327243,
          3.5214974637842174,
          7.456557254699135,
          5.947972158612294,
          4.082127590753606,
          3.4091453771688185,
          6.577029668345597,
          7.52708288767497
         ],
         "yaxis": "y6"
        },
        {
         "hovertemplate": "<b>OLS trendline</b><br>y = 2.1458 * x + 1.51335<br>R<sup>2</sup>=0.714014<br><br>SrcID=6<br>x=%{x}<br>y=%{y} <b>(trend)</b><extra></extra>",
         "legendgroup": "6",
         "marker": {
          "color": "#19d3f3",
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "6",
         "showlegend": false,
         "type": "scatter",
         "x": [
          0.9070635153306161,
          0.9181346836353211,
          1.0653694167403538,
          1.1648930962055473,
          1.2147818698972366,
          1.2551736763845116,
          1.2782174297754594,
          1.3503257055218336,
          1.376557215720673,
          1.4034407695692,
          1.4290817207073907,
          1.4593257422718868,
          1.5773084667707744,
          1.584686514242821,
          1.6317497884443188,
          1.6937888756976087,
          1.7249366230878054,
          1.8075954982602835,
          1.8370748861009212,
          1.9094172505056668,
          1.9442723534379531,
          1.9870457353691569,
          2.013383975932374,
          2.059828249098199,
          2.148540135209017,
          2.151310298985045,
          2.154260495898537,
          2.1652480554509617,
          2.167973990667482,
          2.277692095868975,
          2.2950619306035405,
          2.339692795635853,
          2.408360503336815,
          2.4597924012557684,
          2.4719134960801656,
          2.571227566119822,
          2.5803688854785998,
          2.6252789157863248,
          2.6752895822731046,
          2.675668315581323,
          2.6957527021441035,
          2.703372871561065,
          2.7197331587188476,
          2.793867920951784,
          2.8115913239785524,
          2.8754737316117893,
          2.8760095073589094,
          2.9049222971509545,
          2.977969690628508,
          3.106729442344114,
          3.13497530619392,
          3.1783814596964,
          3.234975203487025,
          3.3065407314002684,
          3.335176747110225
         ],
         "xaxis": "x6",
         "y": [
          3.459726316645465,
          3.4834828626716288,
          3.7994195928695755,
          4.012977801618263,
          4.120029281261274,
          4.206702140302452,
          4.256149495177815,
          4.410879648716176,
          4.467167301674146,
          4.524854111843762,
          4.579874541404947,
          4.64477225323974,
          4.897939935972815,
          4.913771772282123,
          5.014760286677184,
          5.1478839454628265,
          5.214720874874519,
          5.392090536184011,
          5.455347494689611,
          5.610579956370504,
          5.68537214038108,
          5.777155391125401,
          5.833672066418137,
          5.933332326541429,
          6.1236905568073166,
          6.129634782514486,
          6.135965323865921,
          6.159542461981639,
          6.165391781913673,
          6.400825219865746,
          6.438097463135971,
          6.533866506668355,
          6.681213879015299,
          6.7915765992356505,
          6.817586080724691,
          7.030694508941799,
          7.050309979333878,
          7.1466780565483194,
          7.253991094115223,
          7.254803781179559,
          7.29790091787318,
          7.314252300175289,
          7.349358253238972,
          7.508436847534842,
          7.546467778702851,
          7.683546839867171,
          7.684696509066109,
          7.746737659786183,
          7.903482974957962,
          8.179776034891777,
          8.240386093932385,
          8.333527147804917,
          8.454966172319025,
          8.608531695935458,
          8.669978944003255
         ],
         "yaxis": "y6"
        },
        {
         "hovertemplate": "SrcID=7<br>x=%{x}<br>y=%{y}<extra></extra>",
         "legendgroup": "7",
         "marker": {
          "color": "#FF6692",
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "7",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          3.6774183423635076,
          5.23153814724348,
          5.760562852839504,
          2.957074992610738,
          2.4086552672203023,
          2.0834888711850263,
          2.2120205758801146,
          1.7671921686533618,
          3.2663456940005746,
          5.095176196699514,
          4.217677140415733,
          2.954771316661577,
          5.458581676601989,
          3.196187499278162,
          5.277971403964225,
          3.077021952805981,
          4.407775025154315,
          3.4549882887026477,
          2.4019314667716385,
          5.4797540339828,
          5.725859740755291,
          5.416832579382582,
          2.9165401816537804,
          4.462210553687908,
          1.9957213514953565,
          4.915138033099943,
          4.778722205676442,
          4.0802637828672905,
          5.849688284899171,
          3.090522495554019,
          4.718846756568922,
          3.033391754071783,
          4.163470996206254,
          2.9739714083840028,
          1.766793276297631,
          4.7679059857611765,
          5.544551547148167,
          2.774033209448414,
          5.074466694540238,
          2.60581646141357,
          3.713488924449778,
          5.508048868083664,
          4.545129759001642,
          1.8923833265490089,
          2.794728304216143,
          5.0877897676215795,
          4.091246473175185,
          5.058585432329911,
          5.8669933843603275,
          3.803684454947054,
          4.975227256626063,
          3.6881968560356317,
          3.155785935669811,
          4.167526404445662,
          5.317579921077672,
          2.7875531399225837,
          3.3262286774725487,
          4.419162223988288,
          5.653969385930775,
          2.3400306316973847,
          3.9619893810363553,
          3.5850000692637893,
          1.8589945628406437,
          5.529604254071738,
          3.9262738644587944,
          5.1129360860077195,
          2.26393953720464,
          1.9014182204658465,
          4.749530809308273,
          3.0973599767764064,
          2.4277622546701627,
          3.7115869578942235,
          5.541234016861551,
          3.4935222930592023,
          5.094565733055053,
          2.1531133021384905,
          3.50997877117928,
          3.1292342482694417,
          4.812092251521066,
          5.790103852621278,
          3.20255477876474,
          2.0756223042716155,
          4.004245906632834,
          2.5073738891828334,
          1.8371605338311674,
          2.0907172941741963,
          5.549715723554736,
          3.0140236926005035
         ],
         "xaxis": "x7",
         "y": [
          9.93745454399466,
          13.560954828315749,
          13.712568277929604,
          7.785007492829768,
          5.547673260930252,
          5.234404932274531,
          6.15005380546173,
          5.83207406352413,
          10.32609913401075,
          12.613421115510626,
          10.11310226866178,
          8.632098555761264,
          14.432117358067808,
          7.696834488017602,
          13.562892023775786,
          8.882026972803839,
          11.811901081640732,
          8.918596314061995,
          7.634677949108765,
          14.591259510778201,
          13.929711318805195,
          13.861038557311886,
          7.111469939684165,
          10.157312263379957,
          5.430714700807337,
          12.41822445842791,
          10.740871720696905,
          10.275114931120147,
          13.891766319822427,
          7.592570915644726,
          11.986701217538052,
          6.46741822434309,
          12.761987636441502,
          8.320944290061401,
          5.719076300640117,
          12.679122156032008,
          14.027780818811907,
          7.730471673871251,
          11.076611238828654,
          6.746959072325255,
          10.26744246445958,
          14.6281866710749,
          12.687819621402426,
          6.695714718912273,
          7.381507202150199,
          12.904648519341125,
          10.023224885899925,
          12.231370437535922,
          13.474375601933648,
          8.685885025899905,
          13.149713120824957,
          9.60855412664815,
          8.39585394319336,
          9.18540549542273,
          12.879264830135925,
          6.764293053358524,
          8.228755542977922,
          11.256178425401401,
          14.438104234398196,
          7.258555603335283,
          9.802048509622933,
          9.825711181365032,
          6.23941173781226,
          14.201205861910466,
          10.025723745765376,
          12.534113000247949,
          7.84556424680399,
          5.497936212533288,
          11.978956710199022,
          6.9319571264097,
          7.07086899356006,
          9.50028691071657,
          13.436939170234405,
          9.39878725740847,
          12.636625581594737,
          5.750346568528762,
          9.965758473056953,
          7.76281675540831,
          12.917485520036143,
          14.162394707755485,
          9.172094370831562,
          4.0663108179690814,
          10.819266135779714,
          7.194267250859317,
          6.353379641238732,
          6.1987639123119544,
          13.90965228387503,
          6.936007170701289
         ],
         "yaxis": "y7"
        },
        {
         "hovertemplate": "<b>OLS trendline</b><br>y = 2.24302 * x + 1.31719<br>R<sup>2</sup>=0.930841<br><br>SrcID=7<br>x=%{x}<br>y=%{y} <b>(trend)</b><extra></extra>",
         "legendgroup": "7",
         "marker": {
          "color": "#FF6692",
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "7",
         "showlegend": false,
         "type": "scatter",
         "x": [
          1.766793276297631,
          1.7671921686533618,
          1.8371605338311674,
          1.8589945628406437,
          1.8923833265490089,
          1.9014182204658465,
          1.9957213514953565,
          2.0756223042716155,
          2.0834888711850263,
          2.0907172941741963,
          2.1531133021384905,
          2.2120205758801146,
          2.26393953720464,
          2.3400306316973847,
          2.4019314667716385,
          2.4086552672203023,
          2.4277622546701627,
          2.5073738891828334,
          2.60581646141357,
          2.774033209448414,
          2.7875531399225837,
          2.794728304216143,
          2.9165401816537804,
          2.954771316661577,
          2.957074992610738,
          2.9739714083840028,
          3.0140236926005035,
          3.033391754071783,
          3.077021952805981,
          3.090522495554019,
          3.0973599767764064,
          3.1292342482694417,
          3.155785935669811,
          3.196187499278162,
          3.20255477876474,
          3.2663456940005746,
          3.3262286774725487,
          3.4549882887026477,
          3.4935222930592023,
          3.50997877117928,
          3.5850000692637893,
          3.6774183423635076,
          3.6881968560356317,
          3.7115869578942235,
          3.713488924449778,
          3.803684454947054,
          3.9262738644587944,
          3.9619893810363553,
          4.004245906632834,
          4.0802637828672905,
          4.091246473175185,
          4.163470996206254,
          4.167526404445662,
          4.217677140415733,
          4.407775025154315,
          4.419162223988288,
          4.462210553687908,
          4.545129759001642,
          4.718846756568922,
          4.749530809308273,
          4.7679059857611765,
          4.778722205676442,
          4.812092251521066,
          4.915138033099943,
          4.975227256626063,
          5.058585432329911,
          5.074466694540238,
          5.0877897676215795,
          5.094565733055053,
          5.095176196699514,
          5.1129360860077195,
          5.23153814724348,
          5.277971403964225,
          5.317579921077672,
          5.416832579382582,
          5.458581676601989,
          5.4797540339828,
          5.508048868083664,
          5.529604254071738,
          5.541234016861551,
          5.544551547148167,
          5.549715723554736,
          5.653969385930775,
          5.725859740755291,
          5.760562852839504,
          5.790103852621278,
          5.849688284899171,
          5.8669933843603275
         ],
         "xaxis": "x7",
         "y": [
          5.28013092521219,
          5.281025646840044,
          5.43796575534496,
          5.486939814880849,
          5.561831320290754,
          5.582096724920911,
          5.793620083777652,
          5.972839137509808,
          5.990483966881117,
          6.006697429713311,
          6.146652625683734,
          6.278782537669612,
          6.395237558492624,
          6.565911042081993,
          6.704755557720038,
          6.7198371445099685,
          6.762694408302869,
          6.941264516764335,
          7.162072705266864,
          7.539385432552175,
          7.56971084247426,
          7.585804845241226,
          7.85903074116818,
          7.944783759137691,
          7.949950939369826,
          7.987849857231657,
          8.077687740607004,
          8.121130597405331,
          8.21899379752492,
          8.249275720482073,
          8.26461229497849,
          8.336106771288174,
          8.39566261043081,
          8.486283932800568,
          8.500565837643782,
          8.643649831864577,
          8.777968275632801,
          9.066778044249668,
          9.153210402780246,
          9.190122533787031,
          9.358396447742896,
          9.565692041562308,
          9.58986841185374,
          9.642332766484579,
          9.64659890643001,
          9.848908854746352,
          10.12387876695503,
          10.203989214480101,
          10.298771244834809,
          10.46928049875594,
          10.493914840350412,
          10.655915545274802,
          10.665011887707658,
          10.777500752135792,
          11.20389320223253,
          11.229434862610464,
          11.32599292162535,
          11.511981961758115,
          11.901631832497198,
          11.970456630018862,
          12.011672430602271,
          12.035933376571226,
          12.110782897527741,
          12.341916154691402,
          12.476697198041501,
          12.663670855443511,
          12.69929276840589,
          12.729176624198306,
          12.744375217843483,
          12.745744497093563,
          12.785580199242414,
          13.051606428552558,
          13.155756930418248,
          13.244599437424185,
          13.4672246613263,
          13.560868522104604,
          13.608358442102096,
          13.671824185836906,
          13.72017324483288,
          13.746258979857293,
          13.753700250806341,
          13.765283577121396,
          13.999126129305541,
          14.16037728985424,
          14.238216898684808,
          14.304477811017312,
          14.438126599911163,
          14.476942201507978
         ],
         "yaxis": "y7"
        },
        {
         "hovertemplate": "SrcID=8<br>x=%{x}<br>y=%{y}<extra></extra>",
         "legendgroup": "8",
         "marker": {
          "color": "#B6E880",
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "8",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          0.9679254297322537,
          2.0193299648144025,
          1.1961760236932975,
          1.537493850272539,
          0.27236947684501367,
          2.026269996151,
          1.5908089879403575,
          1.1384146736705183,
          1.053422520250167,
          0.7218049264426653,
          0.9267500301243854,
          1.9773893457014984,
          1.3543484924740128,
          0.41657661695782405,
          1.979889464237799,
          1.007226981025439,
          0.587101981430789,
          1.153224188489407,
          1.0607263419134882,
          1.4461032478492424,
          0.17039656218756688,
          1.3363324952657498,
          0.12848046071596117,
          2.0174131421345063,
          2.0262873879677468,
          1.0368820347741963,
          2.134632283875581,
          1.9570838717088348,
          1.7424965957094996,
          0.9132414097767265,
          1.3784657967629754,
          2.128538520692644,
          1.6575947185781024,
          0.8957685316326943,
          1.8009777239229021,
          1.1386970174597018,
          1.5982041283658432,
          2.10640086904012,
          0.7573432258388508,
          1.543352987075607,
          1.5510403051201536,
          1.5944539298178384,
          1.4624142960230428,
          2.0514600545352417,
          1.061521770701083,
          1.2354340623568492,
          1.4195591028249024,
          1.6022612022253524,
          1.7279466123583676,
          1.6925197722118652,
          1.4846542924442816,
          0.6626923350119076,
          1.205799466945919,
          2.080333659425207,
          0.5738485832092439,
          1.8491614571410238,
          2.0755336791871115,
          0.15043831287120946,
          1.7379106420726973,
          1.8352114544874436,
          0.22539690630162393,
          0.3291756868434326,
          1.041648204432073,
          1.084041108372566,
          1.3022084879721196,
          1.204798006774387,
          0.7575436961250707,
          0.8088537072933797,
          0.457888220813199,
          0.19764657032963728
         ],
         "xaxis": "x8",
         "y": [
          3.202326399853604,
          5.55995498805598,
          3.9486908494677007,
          4.654634319587537,
          1.31429577966544,
          5.894088139324433,
          5.046198691551427,
          2.9260167022218946,
          3.907620879982397,
          1.928378780691293,
          3.8856415563577413,
          6.404486175997307,
          4.244691281506527,
          2.205161740074624,
          5.132208841062649,
          2.5226628956983594,
          1.8436699529616816,
          4.2604814024829825,
          3.2409872906011667,
          4.291930324593807,
          2.409155136516649,
          3.1703545230331427,
          1.211699606157388,
          4.855203872041904,
          5.5592471457773796,
          3.239040729867629,
          6.856012601129022,
          5.782745045812143,
          5.289198760113533,
          3.625806859787831,
          3.62884087847144,
          6.3396743039880405,
          3.9846453278221725,
          3.4509787618395333,
          5.402094436654654,
          3.8651855437021174,
          5.243460434102811,
          6.215685175098872,
          2.6118515719877853,
          4.485968632832435,
          6.020252095151944,
          4.922109036531598,
          3.8711463538844155,
          6.751924350704462,
          3.7232079639448252,
          3.8127328934199896,
          4.685397683710356,
          4.71893272816503,
          4.983511559945007,
          5.29988617900616,
          4.0822654655416795,
          2.957619284748791,
          3.645138059606832,
          6.1360577485314725,
          2.9664056027275887,
          5.385112813640122,
          5.46077773946995,
          1.9650003097785265,
          4.663976887291543,
          5.417861844945864,
          1.5542615885064823,
          2.3517888031124445,
          2.5569487417053325,
          2.4335425992424975,
          4.937823119903102,
          3.8865840875211726,
          3.6652340069872826,
          3.3143457537619376,
          2.1805326170527994,
          1.4293747505979382
         ],
         "yaxis": "y8"
        },
        {
         "hovertemplate": "<b>OLS trendline</b><br>y = 2.30324 * x + 1.10845<br>R<sup>2</sup>=0.866141<br><br>SrcID=8<br>x=%{x}<br>y=%{y} <b>(trend)</b><extra></extra>",
         "legendgroup": "8",
         "marker": {
          "color": "#B6E880",
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "8",
         "showlegend": false,
         "type": "scatter",
         "x": [
          0.12848046071596117,
          0.15043831287120946,
          0.17039656218756688,
          0.19764657032963728,
          0.22539690630162393,
          0.27236947684501367,
          0.3291756868434326,
          0.41657661695782405,
          0.457888220813199,
          0.5738485832092439,
          0.587101981430789,
          0.6626923350119076,
          0.7218049264426653,
          0.7573432258388508,
          0.7575436961250707,
          0.8088537072933797,
          0.8957685316326943,
          0.9132414097767265,
          0.9267500301243854,
          0.9679254297322537,
          1.007226981025439,
          1.0368820347741963,
          1.041648204432073,
          1.053422520250167,
          1.0607263419134882,
          1.061521770701083,
          1.084041108372566,
          1.1384146736705183,
          1.1386970174597018,
          1.153224188489407,
          1.1961760236932975,
          1.204798006774387,
          1.205799466945919,
          1.2354340623568492,
          1.3022084879721196,
          1.3363324952657498,
          1.3543484924740128,
          1.3784657967629754,
          1.4195591028249024,
          1.4461032478492424,
          1.4624142960230428,
          1.4846542924442816,
          1.537493850272539,
          1.543352987075607,
          1.5510403051201536,
          1.5908089879403575,
          1.5944539298178384,
          1.5982041283658432,
          1.6022612022253524,
          1.6575947185781024,
          1.6925197722118652,
          1.7279466123583676,
          1.7379106420726973,
          1.7424965957094996,
          1.8009777239229021,
          1.8352114544874436,
          1.8491614571410238,
          1.9570838717088348,
          1.9773893457014984,
          1.979889464237799,
          2.0174131421345063,
          2.0193299648144025,
          2.026269996151,
          2.0262873879677468,
          2.0514600545352417,
          2.0755336791871115,
          2.080333659425207,
          2.10640086904012,
          2.128538520692644,
          2.134632283875581
         ],
         "xaxis": "x8",
         "y": [
          1.4043674744730745,
          1.4549415900353315,
          1.5009101483537528,
          1.5636733481014164,
          1.6275889209186452,
          1.7357778363973324,
          1.866615944277898,
          2.0679209129333813,
          2.1630712861425634,
          2.430155367363006,
          2.4606810712665554,
          2.63478349487221,
          2.7709337434970087,
          2.852786834037979,
          2.8532485644180907,
          2.971427629291088,
          3.1716129816257035,
          3.2118571435871597,
          3.2429706842795203,
          3.33780734696252,
          3.4283280947489763,
          3.496630682119122,
          3.507608295656299,
          3.5347273237215493,
          3.551549748712631,
          3.5533818089314964,
          3.605249158148112,
          3.73048431117984,
          3.731134615559407,
          3.7645941188502783,
          3.863522331949362,
          3.8833807937713956,
          3.885687392890834,
          3.9539428598808004,
          4.107740120823868,
          4.186335762880001,
          4.22783085622237,
          4.283378699678844,
          4.378026281551479,
          4.439163711955455,
          4.4767319053038275,
          4.527955865696651,
          4.649657837500214,
          4.663152812312795,
          4.680858519974908,
          4.7724551819110355,
          4.780850343260429,
          4.789487935562592,
          4.798832334129662,
          4.926278480988845,
          5.006719121813079,
          5.0883154953976675,
          5.11126500733879,
          5.121827540848488,
          5.256523380658525,
          5.335371741302236,
          5.367501889611269,
          5.616072680029207,
          5.662840978722116,
          5.668599341738691,
          5.755025227515293,
          5.759440122516863,
          5.775424652531055,
          5.775464709989488,
          5.833443301838709,
          5.888890540782572,
          5.899946028065282,
          5.959984963664686,
          6.010973199901814,
          6.0250085746390125
         ],
         "yaxis": "y8"
        },
        {
         "hovertemplate": "SrcID=9<br>x=%{x}<br>y=%{y}<extra></extra>",
         "legendgroup": "9",
         "marker": {
          "color": "#FF97FF",
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "9",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          4.795103537195866,
          0.8647059451657687,
          4.342848247702628,
          1.5263954561254762,
          2.422610138706581,
          1.5939416334164402,
          3.7960074286164778,
          1.4932518796752783,
          3.028589437803551,
          3.202368717490562,
          3.7578910876551532,
          2.831819515780592,
          1.5505641324306338,
          2.103236993185417,
          4.391479632602094,
          4.4174857311190125,
          1.1227640479172247,
          2.6981405451844385,
          3.660479576868103,
          0.9336031377000361,
          4.5602281663172475,
          1.2434924032764423,
          2.918011293113163,
          3.5819535871016024,
          4.144925875278119,
          2.9142951506725616,
          2.2777575852473797,
          1.5865039496703033
         ],
         "xaxis": "x",
         "y": [
          11.777364883281512,
          3.6695284325661586,
          10.591929673417752,
          4.854705336850003,
          7.754096303286383,
          4.551331596172051,
          10.520511010677914,
          4.343650248799191,
          8.74383582431081,
          8.491888261810296,
          9.220252861640345,
          8.008255315566013,
          4.387693494532599,
          5.581154100535027,
          11.064227059341487,
          11.24615999938945,
          3.2219680455907502,
          7.740198910194239,
          9.339751912129294,
          2.883383844339826,
          12.70107915838512,
          4.098701343185684,
          8.180587342626506,
          7.963287530419493,
          10.31229515082187,
          7.630383499943986,
          5.991602507089725,
          4.78009336298841
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "<b>OLS trendline</b><br>y = 2.28966 * x + 1.12875<br>R<sup>2</sup>=0.965457<br><br>SrcID=9<br>x=%{x}<br>y=%{y} <b>(trend)</b><extra></extra>",
         "legendgroup": "9",
         "marker": {
          "color": "#FF97FF",
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "9",
         "showlegend": false,
         "type": "scatter",
         "x": [
          0.8647059451657687,
          0.9336031377000361,
          1.1227640479172247,
          1.2434924032764423,
          1.4932518796752783,
          1.5263954561254762,
          1.5505641324306338,
          1.5865039496703033,
          1.5939416334164402,
          2.103236993185417,
          2.2777575852473797,
          2.422610138706581,
          2.6981405451844385,
          2.831819515780592,
          2.9142951506725616,
          2.918011293113163,
          3.028589437803551,
          3.202368717490562,
          3.5819535871016024,
          3.660479576868103,
          3.7578910876551532,
          3.7960074286164778,
          4.144925875278119,
          4.342848247702628,
          4.391479632602094,
          4.4174857311190125,
          4.5602281663172475,
          4.795103537195866
         ],
         "xaxis": "x",
         "y": [
          3.1086342648316174,
          3.266385240578318,
          3.6994989432165477,
          3.975925531262767,
          4.547789197322965,
          4.623676636744442,
          4.679014628459395,
          4.761304501662806,
          4.778334250264899,
          5.944446206232675,
          6.344038594151436,
          6.6757013340551685,
          7.306571604250123,
          7.612650666003897,
          7.801491624553344,
          7.8100003180785125,
          8.063186399826218,
          8.461081436282893,
          9.330200791618648,
          9.509998415462022,
          9.733037414735826,
          9.820310781869793,
          10.619214530952469,
          11.072388981515733,
          11.18373819819083,
          11.243283257510459,
          11.570114549246796,
          12.107898711011323
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SrcID=10<br>x=%{x}<br>y=%{y}<extra></extra>",
         "legendgroup": "10",
         "marker": {
          "color": "#FECB52",
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "10",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          1.4872025242655136,
          2.4049785533578705,
          1.9808725697775613,
          1.1487315060191081,
          2.9432840843599397,
          2.1257961871687607,
          1.6873155344065938,
          1.1744753811208697,
          1.9078151308259443,
          1.393508006617691,
          1.1931509098078728,
          3.4366985857804773,
          2.3630663916629775,
          1.0259705440963371,
          2.1698018695343295,
          3.419896078253802,
          2.4722456704516995,
          2.0131094131697576,
          1.2993355102402349,
          1.5548382469458844,
          1.8515575043951702,
          2.965261103214727,
          2.1412969397746253,
          2.968398853040341,
          2.312297930516226,
          2.176723135454197,
          2.559496822867826,
          2.3192974621489766,
          2.6991439258326957,
          2.868451844610326,
          3.2456108183492587,
          2.1553978753177985,
          1.516704261288847,
          2.5761335075060834,
          2.3923357408635653,
          2.3536819021544697,
          1.3455722512507005,
          2.674438378200821,
          2.983374987691567,
          1.7223281651831817,
          3.019318393570549,
          1.0342268135127837,
          2.1622493814284303,
          1.8487719760155805,
          3.4141658977638953,
          3.1743907626455283,
          2.2039709876764415,
          1.3974823312322597,
          3.310429015673939,
          2.2379385859189327,
          3.3287570160065645,
          2.1168686221981217,
          3.227636963051185,
          2.913307265832974,
          2.4930888145179924,
          1.7349252874066425,
          1.7765254985209056,
          2.5257875186979506,
          2.203667494028286,
          2.8307532625757963,
          2.111220037649289,
          2.5729231606179233,
          2.339633047633079,
          1.5741516735813201,
          1.4482042214465112,
          1.103073525476347,
          3.0775310997186365,
          2.2801134069761133,
          1.775520533894271
         ],
         "xaxis": "x2",
         "y": [
          3.8130133484362707,
          6.478181744234792,
          6.291429435040972,
          2.9907683052181357,
          8.352247690094034,
          5.2514467313027255,
          5.594883567152249,
          2.2862515450750736,
          4.548440623767558,
          5.583342722523805,
          2.82991683722257,
          10.67208793383896,
          6.9790493937000395,
          3.1499757896670926,
          5.304304454264396,
          8.32093955420303,
          5.876403181540577,
          6.009917859472575,
          3.7500024209666116,
          4.916171911833136,
          5.0442855956924655,
          6.684349803726842,
          5.802019140156934,
          8.092210099552224,
          6.512043979965219,
          6.978388969995593,
          7.2860321260052805,
          5.202150392620315,
          8.612359853326202,
          7.813495942622323,
          8.333626345004856,
          5.190054349703931,
          4.961861427670621,
          6.36337157602212,
          6.526231359598082,
          6.891772191495801,
          4.819086778559254,
          6.955787892273075,
          7.034662695667886,
          5.479631188070902,
          8.573898381761632,
          3.8641514023657257,
          5.59210276662282,
          4.896218559037073,
          9.223224063520098,
          8.198321381232073,
          5.558092464947259,
          4.847010315864844,
          7.210158975181354,
          5.7970273285906115,
          8.441331834350851,
          6.767072493814919,
          8.120160933041856,
          6.110375979009536,
          5.240675101303393,
          5.801891591245558,
          3.800876325512195,
          7.939421755324085,
          6.61800238392784,
          8.075244184419551,
          5.63671108786055,
          7.924274403077427,
          7.108248160494518,
          4.366650470393547,
          4.2807610678927475,
          3.695545697095332,
          8.223624282260957,
          5.805828303935329,
          3.743296164535048
         ],
         "yaxis": "y2"
        },
        {
         "hovertemplate": "<b>OLS trendline</b><br>y = 2.31908 * x + 0.917202<br>R<sup>2</sup>=0.805674<br><br>SrcID=10<br>x=%{x}<br>y=%{y} <b>(trend)</b><extra></extra>",
         "legendgroup": "10",
         "marker": {
          "color": "#FECB52",
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "10",
         "showlegend": false,
         "type": "scatter",
         "x": [
          1.0259705440963371,
          1.0342268135127837,
          1.103073525476347,
          1.1487315060191081,
          1.1744753811208697,
          1.1931509098078728,
          1.2993355102402349,
          1.3455722512507005,
          1.393508006617691,
          1.3974823312322597,
          1.4482042214465112,
          1.4872025242655136,
          1.516704261288847,
          1.5548382469458844,
          1.5741516735813201,
          1.6873155344065938,
          1.7223281651831817,
          1.7349252874066425,
          1.775520533894271,
          1.7765254985209056,
          1.8487719760155805,
          1.8515575043951702,
          1.9078151308259443,
          1.9808725697775613,
          2.0131094131697576,
          2.111220037649289,
          2.1168686221981217,
          2.1257961871687607,
          2.1412969397746253,
          2.1553978753177985,
          2.1622493814284303,
          2.1698018695343295,
          2.176723135454197,
          2.203667494028286,
          2.2039709876764415,
          2.2379385859189327,
          2.2801134069761133,
          2.312297930516226,
          2.3192974621489766,
          2.339633047633079,
          2.3536819021544697,
          2.3630663916629775,
          2.3923357408635653,
          2.4049785533578705,
          2.4722456704516995,
          2.4930888145179924,
          2.5257875186979506,
          2.559496822867826,
          2.5729231606179233,
          2.5761335075060834,
          2.674438378200821,
          2.6991439258326957,
          2.8307532625757963,
          2.868451844610326,
          2.913307265832974,
          2.9432840843599397,
          2.965261103214727,
          2.968398853040341,
          2.983374987691567,
          3.019318393570549,
          3.0775310997186365,
          3.1743907626455283,
          3.227636963051185,
          3.2456108183492587,
          3.310429015673939,
          3.3287570160065645,
          3.4141658977638953,
          3.419896078253802,
          3.4366985857804773
         ],
         "xaxis": "x2",
         "y": [
          3.2965082005382706,
          3.3156551339129035,
          3.47531603407721,
          3.581200455645515,
          3.6409025119273033,
          3.6842125210209735,
          3.930462899653299,
          4.03768951193221,
          4.14885627115232,
          4.158073040223921,
          4.275701063678817,
          4.366141172659729,
          4.434558004128005,
          4.52299369412984,
          4.56778303836901,
          4.83021886674951,
          4.91141589108771,
          4.940629601028455,
          5.0347731470562875,
          5.037103738486808,
          5.204648960350197,
          5.211108818139105,
          5.341574646075789,
          5.511000550872627,
          5.5857603075502995,
          5.813286505582451,
          5.826386014157357,
          5.847089734332722,
          5.883037189827567,
          5.915738360265066,
          5.931627537858379,
          5.949142347427008,
          5.965193303464349,
          6.027679374644707,
          6.028383200109666,
          6.10715671241169,
          6.204963415189621,
          6.2796018380455045,
          6.295834298381518,
          6.3429941087945165,
          6.375574499276342,
          6.397337863128835,
          6.465215769092776,
          6.494535438338819,
          6.650533134675322,
          6.69887001306742,
          6.774700860971116,
          6.852875369152758,
          6.884012094639736,
          6.8914571397171915,
          7.119433809887936,
          7.17672790370094,
          7.48194023084231,
          7.569366185849957,
          7.673389409696107,
          7.742907992262699,
          7.793874414815171,
          7.801151101636657,
          7.835881927135805,
          7.919237491605558,
          8.054237302047092,
          8.278862422571416,
          8.402344518442536,
          8.444027292165009,
          8.59434575236051,
          8.636849816067539,
          8.834919681054254,
          8.848208416987012,
          8.8871747437761
         ],
         "yaxis": "y2"
        },
        {
         "hovertemplate": "SrcID=11<br>x=%{x}<br>y=%{y}<extra></extra>",
         "legendgroup": "11",
         "marker": {
          "color": "#636efa",
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "11",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2.783908305598337,
          1.360798332628316,
          2.2969227840808095,
          1.4029834956747622,
          1.2497963634121467,
          2.7162455931487095,
          1.7856331960952723,
          1.3198508935918176,
          3.600467273208685,
          3.821628887036103,
          4.622806259740291,
          4.425635923867809,
          1.914243397401564,
          2.3449010646126793,
          3.7138702272925563,
          2.398530604109253,
          3.9211110425715052,
          2.9579561769455918,
          4.5961563250329736,
          2.656841051095241,
          4.1360745023138605
         ],
         "xaxis": "x3",
         "y": [
          7.594544458960416,
          4.676261258879374,
          6.208296814304108,
          3.7053845972764026,
          4.54560937856109,
          6.940457727156413,
          4.792365966767559,
          4.504395660393396,
          9.333440563148734,
          9.497814416882333,
          11.39318001022411,
          11.247304939682294,
          5.123541563481726,
          7.112229054478799,
          9.140034472497213,
          6.161967318146407,
          10.438659000628755,
          7.894871404483749,
          11.32105365909916,
          7.264695669995039,
          9.521103766113654
         ],
         "yaxis": "y3"
        },
        {
         "hovertemplate": "<b>OLS trendline</b><br>y = 2.16146 * x + 1.36536<br>R<sup>2</sup>=0.973744<br><br>SrcID=11<br>x=%{x}<br>y=%{y} <b>(trend)</b><extra></extra>",
         "legendgroup": "11",
         "marker": {
          "color": "#636efa",
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "11",
         "showlegend": false,
         "type": "scatter",
         "x": [
          1.2497963634121467,
          1.3198508935918176,
          1.360798332628316,
          1.4029834956747622,
          1.7856331960952723,
          1.914243397401564,
          2.2969227840808095,
          2.3449010646126793,
          2.398530604109253,
          2.656841051095241,
          2.7162455931487095,
          2.783908305598337,
          2.9579561769455918,
          3.600467273208685,
          3.7138702272925563,
          3.821628887036103,
          3.9211110425715052,
          4.1360745023138605,
          4.425635923867809,
          4.5961563250329736,
          4.622806259740291
         ],
         "xaxis": "x3",
         "y": [
          4.066743872124611,
          4.218164128605672,
          4.306670492223373,
          4.3978521501662,
          5.224935218619756,
          5.502921376230598,
          6.330068610426188,
          6.433771875939831,
          6.549690127117952,
          7.108018532633488,
          7.236419236639442,
          7.382669668225378,
          7.758867656446726,
          9.147631448575007,
          9.392747707995339,
          9.62566403552726,
          9.840691007627784,
          10.305326515492329,
          10.931202738004528,
          11.299776230874448,
          11.357379071664843
         ],
         "yaxis": "y3"
        },
        {
         "hovertemplate": "SrcID=12<br>x=%{x}<br>y=%{y}<extra></extra>",
         "legendgroup": "12",
         "marker": {
          "color": "#EF553B",
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "12",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2.7022918160166816,
          3.3310562386667777,
          2.5821818796034868,
          2.655867549127525,
          2.00850126161512,
          2.847580855927868,
          4.138922231583284,
          2.2480821879067023,
          1.6747968109388438,
          2.3615422949512803,
          2.1433820690263397,
          1.623219193494351,
          4.643018953546658,
          1.9355870149034855,
          2.815082779622519,
          1.9202005689637263,
          2.8988679322242525,
          3.0183245048951823,
          4.13511601471083,
          4.194191488492427,
          3.786887208147323,
          3.9668306572008682,
          4.621034174514214
         ],
         "xaxis": "x4",
         "y": [
          7.650199354428746,
          8.96376557483726,
          6.4136671059563195,
          7.01592703170705,
          6.786329329769177,
          7.816920119482464,
          9.980180684719047,
          7.282599570919522,
          5.337637236890623,
          7.771815369735482,
          6.186868452811072,
          4.936466514596516,
          10.479811920781836,
          5.247892920747325,
          7.233084996991042,
          5.7630696357212665,
          7.1708408187451,
          7.736179175043334,
          10.537266168528996,
          10.919621870750786,
          9.987465302787342,
          9.87729081207828,
          11.01256239222901
         ],
         "yaxis": "y4"
        },
        {
         "hovertemplate": "<b>OLS trendline</b><br>y = 1.94849 * x + 2.13556<br>R<sup>2</sup>=0.932354<br><br>SrcID=12<br>x=%{x}<br>y=%{y} <b>(trend)</b><extra></extra>",
         "legendgroup": "12",
         "marker": {
          "color": "#EF553B",
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "12",
         "showlegend": false,
         "type": "scatter",
         "x": [
          1.623219193494351,
          1.6747968109388438,
          1.9202005689637263,
          1.9355870149034855,
          2.00850126161512,
          2.1433820690263397,
          2.2480821879067023,
          2.3615422949512803,
          2.5821818796034868,
          2.655867549127525,
          2.7022918160166816,
          2.815082779622519,
          2.847580855927868,
          2.8988679322242525,
          3.0183245048951823,
          3.3310562386667777,
          3.786887208147323,
          3.9668306572008682,
          4.13511601471083,
          4.138922231583284,
          4.194191488492427,
          4.621034174514214,
          4.643018953546658
         ],
         "xaxis": "x4",
         "y": [
          5.2983911148825875,
          5.398889639127724,
          5.877056657064391,
          5.907037008754492,
          6.049109763449901,
          6.31192380499434,
          6.5159310460634075,
          6.737007045375448,
          7.166921293963414,
          7.310497159078745,
          7.400954426061727,
          7.620726605394603,
          7.684048815130412,
          7.783981222558525,
          8.016741281274502,
          8.62609625511547,
          9.514278804209082,
          9.864896998175158,
          10.19279950549856,
          10.20021588488154,
          10.307907535459853,
          11.139606674649155,
          11.182443819094493
         ],
         "yaxis": "y4"
        }
       ],
       "layout": {
        "annotations": [
         {
          "font": {},
          "showarrow": false,
          "text": "SrcID=9",
          "x": 0.1175,
          "xanchor": "center",
          "xref": "paper",
          "y": 0.2866666666666666,
          "yanchor": "bottom",
          "yref": "paper"
         },
         {
          "font": {},
          "showarrow": false,
          "text": "SrcID=10",
          "x": 0.3725,
          "xanchor": "center",
          "xref": "paper",
          "y": 0.2866666666666666,
          "yanchor": "bottom",
          "yref": "paper"
         },
         {
          "font": {},
          "showarrow": false,
          "text": "SrcID=11",
          "x": 0.6275,
          "xanchor": "center",
          "xref": "paper",
          "y": 0.2866666666666666,
          "yanchor": "bottom",
          "yref": "paper"
         },
         {
          "font": {},
          "showarrow": false,
          "text": "SrcID=12",
          "x": 0.8824999999999998,
          "xanchor": "center",
          "xref": "paper",
          "y": 0.2866666666666666,
          "yanchor": "bottom",
          "yref": "paper"
         },
         {
          "font": {},
          "showarrow": false,
          "text": "SrcID=5",
          "x": 0.1175,
          "xanchor": "center",
          "xref": "paper",
          "y": 0.6433333333333333,
          "yanchor": "bottom",
          "yref": "paper"
         },
         {
          "font": {},
          "showarrow": false,
          "text": "SrcID=6",
          "x": 0.3725,
          "xanchor": "center",
          "xref": "paper",
          "y": 0.6433333333333333,
          "yanchor": "bottom",
          "yref": "paper"
         },
         {
          "font": {},
          "showarrow": false,
          "text": "SrcID=7",
          "x": 0.6275,
          "xanchor": "center",
          "xref": "paper",
          "y": 0.6433333333333333,
          "yanchor": "bottom",
          "yref": "paper"
         },
         {
          "font": {},
          "showarrow": false,
          "text": "SrcID=8",
          "x": 0.8824999999999998,
          "xanchor": "center",
          "xref": "paper",
          "y": 0.6433333333333333,
          "yanchor": "bottom",
          "yref": "paper"
         },
         {
          "font": {},
          "showarrow": false,
          "text": "SrcID=1",
          "x": 0.1175,
          "xanchor": "center",
          "xref": "paper",
          "y": 0.9999999999999999,
          "yanchor": "bottom",
          "yref": "paper"
         },
         {
          "font": {},
          "showarrow": false,
          "text": "SrcID=2",
          "x": 0.3725,
          "xanchor": "center",
          "xref": "paper",
          "y": 0.9999999999999999,
          "yanchor": "bottom",
          "yref": "paper"
         },
         {
          "font": {},
          "showarrow": false,
          "text": "SrcID=3",
          "x": 0.6275,
          "xanchor": "center",
          "xref": "paper",
          "y": 0.9999999999999999,
          "yanchor": "bottom",
          "yref": "paper"
         },
         {
          "font": {},
          "showarrow": false,
          "text": "SrcID=4",
          "x": 0.8824999999999998,
          "xanchor": "center",
          "xref": "paper",
          "y": 0.9999999999999999,
          "yanchor": "bottom",
          "yref": "paper"
         }
        ],
        "height": 800,
        "legend": {
         "title": {
          "text": "SrcID"
         },
         "tracegroupgap": 0
        },
        "margin": {
         "t": 60
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "width": 800,
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          0.235
         ],
         "title": {
          "text": "x"
         }
        },
        "xaxis10": {
         "anchor": "y10",
         "domain": [
          0.255,
          0.49
         ],
         "matches": "x",
         "showticklabels": false
        },
        "xaxis11": {
         "anchor": "y11",
         "domain": [
          0.51,
          0.745
         ],
         "matches": "x",
         "showticklabels": false
        },
        "xaxis12": {
         "anchor": "y12",
         "domain": [
          0.7649999999999999,
          0.9999999999999999
         ],
         "matches": "x",
         "showticklabels": false
        },
        "xaxis2": {
         "anchor": "y2",
         "domain": [
          0.255,
          0.49
         ],
         "matches": "x",
         "title": {
          "text": "x"
         }
        },
        "xaxis3": {
         "anchor": "y3",
         "domain": [
          0.51,
          0.745
         ],
         "matches": "x",
         "title": {
          "text": "x"
         }
        },
        "xaxis4": {
         "anchor": "y4",
         "domain": [
          0.7649999999999999,
          0.9999999999999999
         ],
         "matches": "x",
         "title": {
          "text": "x"
         }
        },
        "xaxis5": {
         "anchor": "y5",
         "domain": [
          0,
          0.235
         ],
         "matches": "x",
         "showticklabels": false
        },
        "xaxis6": {
         "anchor": "y6",
         "domain": [
          0.255,
          0.49
         ],
         "matches": "x",
         "showticklabels": false
        },
        "xaxis7": {
         "anchor": "y7",
         "domain": [
          0.51,
          0.745
         ],
         "matches": "x",
         "showticklabels": false
        },
        "xaxis8": {
         "anchor": "y8",
         "domain": [
          0.7649999999999999,
          0.9999999999999999
         ],
         "matches": "x",
         "showticklabels": false
        },
        "xaxis9": {
         "anchor": "y9",
         "domain": [
          0,
          0.235
         ],
         "matches": "x",
         "showticklabels": false
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          0.2866666666666666
         ],
         "title": {
          "text": "y"
         }
        },
        "yaxis10": {
         "anchor": "x10",
         "domain": [
          0.7133333333333333,
          0.9999999999999999
         ],
         "matches": "y",
         "showticklabels": false
        },
        "yaxis11": {
         "anchor": "x11",
         "domain": [
          0.7133333333333333,
          0.9999999999999999
         ],
         "matches": "y",
         "showticklabels": false
        },
        "yaxis12": {
         "anchor": "x12",
         "domain": [
          0.7133333333333333,
          0.9999999999999999
         ],
         "matches": "y",
         "showticklabels": false
        },
        "yaxis2": {
         "anchor": "x2",
         "domain": [
          0,
          0.2866666666666666
         ],
         "matches": "y",
         "showticklabels": false
        },
        "yaxis3": {
         "anchor": "x3",
         "domain": [
          0,
          0.2866666666666666
         ],
         "matches": "y",
         "showticklabels": false
        },
        "yaxis4": {
         "anchor": "x4",
         "domain": [
          0,
          0.2866666666666666
         ],
         "matches": "y",
         "showticklabels": false
        },
        "yaxis5": {
         "anchor": "x5",
         "domain": [
          0.35666666666666663,
          0.6433333333333333
         ],
         "matches": "y",
         "title": {
          "text": "y"
         }
        },
        "yaxis6": {
         "anchor": "x6",
         "domain": [
          0.35666666666666663,
          0.6433333333333333
         ],
         "matches": "y",
         "showticklabels": false
        },
        "yaxis7": {
         "anchor": "x7",
         "domain": [
          0.35666666666666663,
          0.6433333333333333
         ],
         "matches": "y",
         "showticklabels": false
        },
        "yaxis8": {
         "anchor": "x8",
         "domain": [
          0.35666666666666663,
          0.6433333333333333
         ],
         "matches": "y",
         "showticklabels": false
        },
        "yaxis9": {
         "anchor": "x9",
         "domain": [
          0.7133333333333333,
          0.9999999999999999
         ],
         "matches": "y",
         "title": {
          "text": "y"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.scatter(df, x=\"x\", y=\"y\", color=\"SrcID\", facet_col=\"SrcID\", trendline=\"ols\",\n",
    "                facet_col_wrap=4, width=800, height=800)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "5ce115ac-12ff-49eb-bb1c-86e3c1f217d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "x=%{x}<br>y (km/s)=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#1F77B4",
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "",
         "orientation": "v",
         "showlegend": false,
         "type": "scatter",
         "x": [
          3.8913632562654996,
          4.262151355482432,
          1.6310897391359478,
          1.9849489311447686,
          2.9523886166784137,
          2.541590036318883,
          4.270743089472993,
          2.8987488205863485,
          1.8068361342759758,
          3.042501302326855,
          3.3673738894498424,
          3.7539014725993693,
          4.184801325790901,
          2.0681033295061013,
          2.7940459700188347,
          2.613143610109208,
          3.0054720538397035,
          5.940005477920129,
          3.668777195735585,
          4.80449933442296,
          5.611666862219884,
          2.7334924789819546,
          5.965660418840674,
          2.33638289109231,
          3.0256531843457317,
          3.393463278761579,
          0.6774839677372105,
          4.687213388999397,
          4.223551392915326,
          4.760696708008229,
          4.442698407127176,
          4.3396808820102635,
          3.4926497351207,
          0.7212425763480201,
          1.3306524969458118,
          3.1500830369898973,
          0.734617118371091,
          1.1996683446987668,
          5.462402058487892,
          4.03266333111665,
          0.7976876382911522,
          1.1223321888065323,
          4.718707956176605,
          2.5478002094616987,
          5.261404826119101,
          2.800981817152028,
          2.352393483878042,
          5.707796406348017,
          1.1809765061495372,
          5.690155614097989,
          5.505478076237249,
          3.789906469522174,
          2.2820974369940688,
          1.9810363332655232,
          1.9880322459972388,
          1.792183729825237,
          2.5479927639459548,
          2.2910513123232965,
          1.6634459672079718,
          1.793533594085998,
          2.4420658022809136,
          1.7160739464105712,
          2.555022648068422,
          2.5380767940177646,
          2.1809753143731943,
          2.7782372950856984,
          2.1945109180187963,
          2.711205221449578,
          2.6956837843571924,
          2.5842975795893457,
          2.233891851338938,
          2.37016212619057,
          2.4067240297286943,
          2.82157019004846,
          2.111749765310864,
          2.265391004785413,
          1.6811846861494122,
          2.218962747932925,
          1.805920260537746,
          2.656074864522007,
          2.352713554759213,
          2.8273559140019677,
          2.7949125734270512,
          2.4352916021607074,
          2.690907803473479,
          2.5468038334970164,
          2.3149349677636657,
          2.305277098529926,
          1.6250873381822055,
          2.0671127630581716,
          1.5122177782516084,
          1.5781644733145157,
          2.705079410172446,
          1.726666767684688,
          1.6636464832043452,
          2.420604943511057,
          2.025954543921367,
          1.6977519948635742,
          2.3971337382414792,
          2.6512070835840795,
          1.7815668856804625,
          2.164930955589738,
          2.0340087961971145,
          1.7049410270377123,
          2.3042294424598264,
          1.4789638698993954,
          1.6976833338439854,
          1.570783689068884,
          1.6451700537352532,
          2.801179548449918,
          2.2051540751610323,
          2.814821566250255,
          2.750864519727086,
          2.187455937249754,
          2.7526259457365883,
          2.338731569628513,
          2.103403290723919,
          2.71609754871417,
          1.7812630405924172,
          2.55967407722809,
          2.634384901525704,
          2.6185158831529565,
          1.5786494582939052,
          2.5319835657473746,
          2.550617339937094,
          2.3861291753212637,
          2.8318185259379485,
          2.7284803850243025,
          2.375430728444672,
          2.4808172945533817,
          3.0074455819433012,
          2.5733036605518236,
          1.6626375095586292,
          1.9596994528812213,
          2.3949391955290826,
          2.5958701089231906,
          2.970564884879882,
          2.1035599570870214,
          1.828221755681378,
          2.71031884402539,
          1.6267248660933962,
          2.2433539130181526,
          2.0021410619220936,
          2.9911471591711165,
          2.1012238383095534,
          2.7731481602596677,
          2.335281707147078,
          1.6686783818002024,
          2.1514731474089337,
          2.9005353789204724,
          1.6347561199289449,
          2.2450927111326417,
          2.7672617904428645,
          2.3612357698660253,
          2.0041820067391494,
          1.992965103035977,
          1.6359007485826629,
          1.7313346201981645,
          2.7417062678359034,
          1.74793196164071,
          2.042158734673828,
          1.6395640812305667,
          1.638153681809168,
          2.6147656535387425,
          3.0572053712142733,
          2.4644536461843143,
          2.8930428309805074,
          2.3114872410760308,
          1.7332976013385508,
          2.6539736037689465,
          1.7027769230724301,
          2.594243015351696,
          2.4394999512458355,
          1.6248680679250638,
          2.006862727489545,
          1.9711299676657206,
          1.7486065751758326,
          1.8852170266729253,
          2.925009369031576,
          0.998469272460362,
          1.1528154002984559,
          1.7592709002636762,
          2.0649513677939586,
          1.4832718106676839,
          1.1668715156547083,
          1.7344995313033544,
          0.9172115918602137,
          0.767883368989992,
          1.7694152231686548,
          1.8511249833944226,
          1.0115377568365078,
          1.9876985118074701,
          0.49986491850256065,
          0.5380761174508585,
          0.8093672083536314,
          2.5803688854785998,
          1.9094172505056668,
          2.4597924012557684,
          2.8760095073589094,
          2.9049222971509545,
          1.2147818698972366,
          1.2551736763845116,
          3.13497530619392,
          1.7249366230878054,
          1.4290817207073907,
          2.703372871561065,
          2.154260495898537,
          3.1783814596964,
          2.571227566119822,
          1.3503257055218336,
          2.167973990667482,
          2.339692795635853,
          2.977969690628508,
          2.059828249098199,
          2.4719134960801656,
          0.9181346836353211,
          3.234975203487025,
          1.2782174297754594,
          2.2950619306035405,
          1.5773084667707744,
          0.9070635153306161,
          1.8075954982602835,
          1.9442723534379531,
          2.013383975932374,
          2.793867920951784,
          2.148540135209017,
          2.6752895822731046,
          2.675668315581323,
          3.3065407314002684,
          2.408360503336815,
          3.335176747110225,
          2.8115913239785524,
          1.4593257422718868,
          1.6937888756976087,
          2.6252789157863248,
          2.7197331587188476,
          2.151310298985045,
          1.6317497884443188,
          1.584686514242821,
          2.1652480554509617,
          1.376557215720673,
          1.9870457353691569,
          3.106729442344114,
          1.1648930962055473,
          2.8754737316117893,
          1.8370748861009212,
          1.4034407695692,
          1.0653694167403538,
          2.277692095868975,
          2.6957527021441035,
          3.6774183423635076,
          5.23153814724348,
          5.760562852839504,
          2.957074992610738,
          2.4086552672203023,
          2.0834888711850263,
          2.2120205758801146,
          1.7671921686533618,
          3.2663456940005746,
          5.095176196699514,
          4.217677140415733,
          2.954771316661577,
          5.458581676601989,
          3.196187499278162,
          5.277971403964225,
          3.077021952805981,
          4.407775025154315,
          3.4549882887026477,
          2.4019314667716385,
          5.4797540339828,
          5.725859740755291,
          5.416832579382582,
          2.9165401816537804,
          4.462210553687908,
          1.9957213514953565,
          4.915138033099943,
          4.778722205676442,
          4.0802637828672905,
          5.849688284899171,
          3.090522495554019,
          4.718846756568922,
          3.033391754071783,
          4.163470996206254,
          2.9739714083840028,
          1.766793276297631,
          4.7679059857611765,
          5.544551547148167,
          2.774033209448414,
          5.074466694540238,
          2.60581646141357,
          3.713488924449778,
          5.508048868083664,
          4.545129759001642,
          1.8923833265490089,
          2.794728304216143,
          5.0877897676215795,
          4.091246473175185,
          5.058585432329911,
          5.8669933843603275,
          3.803684454947054,
          4.975227256626063,
          3.6881968560356317,
          3.155785935669811,
          4.167526404445662,
          5.317579921077672,
          2.7875531399225837,
          3.3262286774725487,
          4.419162223988288,
          5.653969385930775,
          2.3400306316973847,
          3.9619893810363553,
          3.5850000692637893,
          1.8589945628406437,
          5.529604254071738,
          3.9262738644587944,
          5.1129360860077195,
          2.26393953720464,
          1.9014182204658465,
          4.749530809308273,
          3.0973599767764064,
          2.4277622546701627,
          3.7115869578942235,
          5.541234016861551,
          3.4935222930592023,
          5.094565733055053,
          2.1531133021384905,
          3.50997877117928,
          3.1292342482694417,
          4.812092251521066,
          5.790103852621278,
          3.20255477876474,
          2.0756223042716155,
          4.004245906632834,
          2.5073738891828334,
          1.8371605338311674,
          2.0907172941741963,
          5.549715723554736,
          3.0140236926005035,
          0.9679254297322537,
          2.0193299648144025,
          1.1961760236932975,
          1.537493850272539,
          0.27236947684501367,
          2.026269996151,
          1.5908089879403575,
          1.1384146736705183,
          1.053422520250167,
          0.7218049264426653,
          0.9267500301243854,
          1.9773893457014984,
          1.3543484924740128,
          0.41657661695782405,
          1.979889464237799,
          1.007226981025439,
          0.587101981430789,
          1.153224188489407,
          1.0607263419134882,
          1.4461032478492424,
          0.17039656218756688,
          1.3363324952657498,
          0.12848046071596117,
          2.0174131421345063,
          2.0262873879677468,
          1.0368820347741963,
          2.134632283875581,
          1.9570838717088348,
          1.7424965957094996,
          0.9132414097767265,
          1.3784657967629754,
          2.128538520692644,
          1.6575947185781024,
          0.8957685316326943,
          1.8009777239229021,
          1.1386970174597018,
          1.5982041283658432,
          2.10640086904012,
          0.7573432258388508,
          1.543352987075607,
          1.5510403051201536,
          1.5944539298178384,
          1.4624142960230428,
          2.0514600545352417,
          1.061521770701083,
          1.2354340623568492,
          1.4195591028249024,
          1.6022612022253524,
          1.7279466123583676,
          1.6925197722118652,
          1.4846542924442816,
          0.6626923350119076,
          1.205799466945919,
          2.080333659425207,
          0.5738485832092439,
          1.8491614571410238,
          2.0755336791871115,
          0.15043831287120946,
          1.7379106420726973,
          1.8352114544874436,
          0.22539690630162393,
          0.3291756868434326,
          1.041648204432073,
          1.084041108372566,
          1.3022084879721196,
          1.204798006774387,
          0.7575436961250707,
          0.8088537072933797,
          0.457888220813199,
          0.19764657032963728,
          4.795103537195866,
          0.8647059451657687,
          4.342848247702628,
          1.5263954561254762,
          2.422610138706581,
          1.5939416334164402,
          3.7960074286164778,
          1.4932518796752783,
          3.028589437803551,
          3.202368717490562,
          3.7578910876551532,
          2.831819515780592,
          1.5505641324306338,
          2.103236993185417,
          4.391479632602094,
          4.4174857311190125,
          1.1227640479172247,
          2.6981405451844385,
          3.660479576868103,
          0.9336031377000361,
          4.5602281663172475,
          1.2434924032764423,
          2.918011293113163,
          3.5819535871016024,
          4.144925875278119,
          2.9142951506725616,
          2.2777575852473797,
          1.5865039496703033,
          1.4872025242655136,
          2.4049785533578705,
          1.9808725697775613,
          1.1487315060191081,
          2.9432840843599397,
          2.1257961871687607,
          1.6873155344065938,
          1.1744753811208697,
          1.9078151308259443,
          1.393508006617691,
          1.1931509098078728,
          3.4366985857804773,
          2.3630663916629775,
          1.0259705440963371,
          2.1698018695343295,
          3.419896078253802,
          2.4722456704516995,
          2.0131094131697576,
          1.2993355102402349,
          1.5548382469458844,
          1.8515575043951702,
          2.965261103214727,
          2.1412969397746253,
          2.968398853040341,
          2.312297930516226,
          2.176723135454197,
          2.559496822867826,
          2.3192974621489766,
          2.6991439258326957,
          2.868451844610326,
          3.2456108183492587,
          2.1553978753177985,
          1.516704261288847,
          2.5761335075060834,
          2.3923357408635653,
          2.3536819021544697,
          1.3455722512507005,
          2.674438378200821,
          2.983374987691567,
          1.7223281651831817,
          3.019318393570549,
          1.0342268135127837,
          2.1622493814284303,
          1.8487719760155805,
          3.4141658977638953,
          3.1743907626455283,
          2.2039709876764415,
          1.3974823312322597,
          3.310429015673939,
          2.2379385859189327,
          3.3287570160065645,
          2.1168686221981217,
          3.227636963051185,
          2.913307265832974,
          2.4930888145179924,
          1.7349252874066425,
          1.7765254985209056,
          2.5257875186979506,
          2.203667494028286,
          2.8307532625757963,
          2.111220037649289,
          2.5729231606179233,
          2.339633047633079,
          1.5741516735813201,
          1.4482042214465112,
          1.103073525476347,
          3.0775310997186365,
          2.2801134069761133,
          1.775520533894271,
          2.783908305598337,
          1.360798332628316,
          2.2969227840808095,
          1.4029834956747622,
          1.2497963634121467,
          2.7162455931487095,
          1.7856331960952723,
          1.3198508935918176,
          3.600467273208685,
          3.821628887036103,
          4.622806259740291,
          4.425635923867809,
          1.914243397401564,
          2.3449010646126793,
          3.7138702272925563,
          2.398530604109253,
          3.9211110425715052,
          2.9579561769455918,
          4.5961563250329736,
          2.656841051095241,
          4.1360745023138605,
          2.7022918160166816,
          3.3310562386667777,
          2.5821818796034868,
          2.655867549127525,
          2.00850126161512,
          2.847580855927868,
          4.138922231583284,
          2.2480821879067023,
          1.6747968109388438,
          2.3615422949512803,
          2.1433820690263397,
          1.623219193494351,
          4.643018953546658,
          1.9355870149034855,
          2.815082779622519,
          1.9202005689637263,
          2.8988679322242525,
          3.0183245048951823,
          4.13511601471083,
          4.194191488492427,
          3.786887208147323,
          3.9668306572008682,
          4.621034174514214
         ],
         "xaxis": "x",
         "y": [
          10.816091842947959,
          11.062942074427745,
          4.232717206935899,
          5.265821132928699,
          7.245628728935409,
          5.9652596561594775,
          11.297991096345097,
          5.996028866972098,
          5.979379137129363,
          8.4050449450603,
          9.817815843794847,
          10.096212090204066,
          9.973710053913813,
          4.8138720390922005,
          7.554453220656085,
          7.822118530359569,
          7.2116700909711575,
          14.335626191306716,
          9.774474750107208,
          10.338856121612883,
          13.48087753201837,
          7.737000856162567,
          14.526930688636117,
          8.218803337012897,
          8.7646411500444,
          8.094569969556849,
          2.4501438279354737,
          11.659156510414107,
          10.500510104724528,
          11.01394297611344,
          10.72262541949235,
          11.587746230691367,
          9.82048354991042,
          1.5374720206481702,
          3.8442529267051753,
          8.450465800868692,
          3.4780774980040348,
          4.190244713566348,
          12.602636639303745,
          10.0694033769636,
          3.3443311549775534,
          4.646914902130559,
          10.945923990056468,
          7.036756187979469,
          13.728224886925439,
          7.550069964135957,
          5.634113860533712,
          14.769875748135137,
          3.154029617602679,
          13.729797480631614,
          13.9452429755735,
          9.417639668341133,
          6.289245034500442,
          5.550006800309788,
          5.410274922747275,
          6.165796351052945,
          7.296323385205248,
          6.398905650706615,
          5.117233867502103,
          4.9373224203391635,
          6.950299086886127,
          4.7280112529412,
          6.49371547338282,
          6.441914522496998,
          6.092146124780594,
          7.49721106850315,
          6.131221210216961,
          7.1471503114141655,
          8.21491550908201,
          5.816656111442555,
          6.479934161114976,
          6.839510730121887,
          6.92664281088884,
          7.050488791927639,
          5.81779178558867,
          6.374532178609089,
          4.923208949290871,
          5.977030480012191,
          5.320395384165657,
          7.3821479914347945,
          6.586707857938387,
          8.10273663207619,
          6.66522567027028,
          6.460157543725812,
          7.38626083309694,
          6.199364715406128,
          6.2840139281943,
          5.984138881498597,
          4.782782138528817,
          5.727006942620904,
          3.6219869887541716,
          5.116006736275109,
          6.895714369328617,
          5.455569152715273,
          5.59939957309872,
          6.727183976201794,
          5.779053735634369,
          4.874101261035438,
          7.250826469600127,
          7.334855491273349,
          5.249192452041791,
          5.9540925864528464,
          5.7580429529476564,
          4.835486485423232,
          6.4651946045669995,
          4.113735941882163,
          5.386391814688121,
          5.697025630342466,
          4.728948184745193,
          7.420058049185298,
          5.946337331651117,
          7.611215800718876,
          7.298933681708482,
          7.122990557931429,
          7.67093965144685,
          6.0204436889600474,
          6.299150957955903,
          6.821456149684911,
          4.646995631369165,
          6.5703083101080875,
          7.57083089943191,
          6.689118461745127,
          3.8407205846839743,
          7.014003329443116,
          7.509939947121379,
          6.28730279067084,
          7.954515894591592,
          7.282628189015271,
          7.198294537675448,
          6.502930245197409,
          8.450334530935772,
          6.851164668239858,
          4.125078542438779,
          5.283866222579225,
          6.542816026757486,
          6.477388596229207,
          7.909084138804168,
          6.2518096765635125,
          5.446200952627897,
          7.3761919133188085,
          4.0970252886120715,
          6.510600962360209,
          6.01797510567755,
          8.181535326671892,
          5.6012048025228065,
          7.125814168971793,
          5.8804642186923495,
          5.8281242517333816,
          6.440353549682017,
          7.81833784040015,
          4.195475003688183,
          5.6400794364519955,
          7.453119171115268,
          6.635981051565562,
          6.108785655220035,
          5.753777842542104,
          4.625142830536624,
          4.334808230625548,
          7.194092675168688,
          5.639617290624999,
          5.868295980364649,
          4.879526797276994,
          4.666787089845652,
          8.041436779384522,
          8.552365827882078,
          6.844498925781278,
          7.098400974096509,
          6.043595983799893,
          5.613630834741581,
          7.375862642397243,
          4.701527001363792,
          7.0270539569094845,
          7.375277177680846,
          4.967538335708868,
          6.210568461749738,
          5.5412911931882745,
          5.603433436594801,
          5.45141872440536,
          7.863756547750763,
          2.8818330711227533,
          3.431687021463877,
          6.112733831703068,
          5.0870001396100015,
          5.942844413370295,
          4.998896120578959,
          5.728978780038339,
          1.4274558066067338,
          3.0679258730770522,
          5.905223846212101,
          4.662865059382305,
          4.060044752378264,
          4.554249341684434,
          0.916755981755176,
          3.5458474634803037,
          2.3559339682419655,
          7.051951153856299,
          6.562099068478651,
          6.932007192308865,
          7.898560764450188,
          8.881018536659145,
          3.669514757324495,
          3.0624932519677173,
          7.801451951076119,
          4.659476112238947,
          5.343523355382342,
          7.8103540677415495,
          6.425661675596517,
          7.1308292061831215,
          7.596111462916663,
          5.353388468638114,
          5.563396403401646,
          5.732304991230423,
          7.686474200273259,
          7.280572361480239,
          7.628658843383468,
          5.7226547642643695,
          7.21663031533061,
          2.8964518307449727,
          8.60068498258187,
          5.13121902944573,
          2.5330936998909124,
          5.11700822526895,
          6.049553410051453,
          5.261344843085806,
          9.494796133909775,
          6.023485133674253,
          5.8715522822967605,
          8.219868994768898,
          7.321683456919812,
          6.8342781545822735,
          9.097661817717096,
          7.974518616464566,
          4.239961577245192,
          5.606525432978063,
          6.3685200894380305,
          5.685768099936554,
          6.654217399654764,
          3.0241460326590595,
          4.484960561956182,
          5.759340907926816,
          5.235427617086334,
          5.542281731509127,
          8.919680953327243,
          3.5214974637842174,
          7.456557254699135,
          5.947972158612294,
          4.082127590753606,
          3.4091453771688185,
          6.577029668345597,
          7.52708288767497,
          9.93745454399466,
          13.560954828315749,
          13.712568277929604,
          7.785007492829768,
          5.547673260930252,
          5.234404932274531,
          6.15005380546173,
          5.83207406352413,
          10.32609913401075,
          12.613421115510626,
          10.11310226866178,
          8.632098555761264,
          14.432117358067808,
          7.696834488017602,
          13.562892023775786,
          8.882026972803839,
          11.811901081640732,
          8.918596314061995,
          7.634677949108765,
          14.591259510778201,
          13.929711318805195,
          13.861038557311886,
          7.111469939684165,
          10.157312263379957,
          5.430714700807337,
          12.41822445842791,
          10.740871720696905,
          10.275114931120147,
          13.891766319822427,
          7.592570915644726,
          11.986701217538052,
          6.46741822434309,
          12.761987636441502,
          8.320944290061401,
          5.719076300640117,
          12.679122156032008,
          14.027780818811907,
          7.730471673871251,
          11.076611238828654,
          6.746959072325255,
          10.26744246445958,
          14.6281866710749,
          12.687819621402426,
          6.695714718912273,
          7.381507202150199,
          12.904648519341125,
          10.023224885899925,
          12.231370437535922,
          13.474375601933648,
          8.685885025899905,
          13.149713120824957,
          9.60855412664815,
          8.39585394319336,
          9.18540549542273,
          12.879264830135925,
          6.764293053358524,
          8.228755542977922,
          11.256178425401401,
          14.438104234398196,
          7.258555603335283,
          9.802048509622933,
          9.825711181365032,
          6.23941173781226,
          14.201205861910466,
          10.025723745765376,
          12.534113000247949,
          7.84556424680399,
          5.497936212533288,
          11.978956710199022,
          6.9319571264097,
          7.07086899356006,
          9.50028691071657,
          13.436939170234405,
          9.39878725740847,
          12.636625581594737,
          5.750346568528762,
          9.965758473056953,
          7.76281675540831,
          12.917485520036143,
          14.162394707755485,
          9.172094370831562,
          4.0663108179690814,
          10.819266135779714,
          7.194267250859317,
          6.353379641238732,
          6.1987639123119544,
          13.90965228387503,
          6.936007170701289,
          3.202326399853604,
          5.55995498805598,
          3.9486908494677007,
          4.654634319587537,
          1.31429577966544,
          5.894088139324433,
          5.046198691551427,
          2.9260167022218946,
          3.907620879982397,
          1.928378780691293,
          3.8856415563577413,
          6.404486175997307,
          4.244691281506527,
          2.205161740074624,
          5.132208841062649,
          2.5226628956983594,
          1.8436699529616816,
          4.2604814024829825,
          3.2409872906011667,
          4.291930324593807,
          2.409155136516649,
          3.1703545230331427,
          1.211699606157388,
          4.855203872041904,
          5.5592471457773796,
          3.239040729867629,
          6.856012601129022,
          5.782745045812143,
          5.289198760113533,
          3.625806859787831,
          3.62884087847144,
          6.3396743039880405,
          3.9846453278221725,
          3.4509787618395333,
          5.402094436654654,
          3.8651855437021174,
          5.243460434102811,
          6.215685175098872,
          2.6118515719877853,
          4.485968632832435,
          6.020252095151944,
          4.922109036531598,
          3.8711463538844155,
          6.751924350704462,
          3.7232079639448252,
          3.8127328934199896,
          4.685397683710356,
          4.71893272816503,
          4.983511559945007,
          5.29988617900616,
          4.0822654655416795,
          2.957619284748791,
          3.645138059606832,
          6.1360577485314725,
          2.9664056027275887,
          5.385112813640122,
          5.46077773946995,
          1.9650003097785265,
          4.663976887291543,
          5.417861844945864,
          1.5542615885064823,
          2.3517888031124445,
          2.5569487417053325,
          2.4335425992424975,
          4.937823119903102,
          3.8865840875211726,
          3.6652340069872826,
          3.3143457537619376,
          2.1805326170527994,
          1.4293747505979382,
          11.777364883281512,
          3.6695284325661586,
          10.591929673417752,
          4.854705336850003,
          7.754096303286383,
          4.551331596172051,
          10.520511010677914,
          4.343650248799191,
          8.74383582431081,
          8.491888261810296,
          9.220252861640345,
          8.008255315566013,
          4.387693494532599,
          5.581154100535027,
          11.064227059341487,
          11.24615999938945,
          3.2219680455907502,
          7.740198910194239,
          9.339751912129294,
          2.883383844339826,
          12.70107915838512,
          4.098701343185684,
          8.180587342626506,
          7.963287530419493,
          10.31229515082187,
          7.630383499943986,
          5.991602507089725,
          4.78009336298841,
          3.8130133484362707,
          6.478181744234792,
          6.291429435040972,
          2.9907683052181357,
          8.352247690094034,
          5.2514467313027255,
          5.594883567152249,
          2.2862515450750736,
          4.548440623767558,
          5.583342722523805,
          2.82991683722257,
          10.67208793383896,
          6.9790493937000395,
          3.1499757896670926,
          5.304304454264396,
          8.32093955420303,
          5.876403181540577,
          6.009917859472575,
          3.7500024209666116,
          4.916171911833136,
          5.0442855956924655,
          6.684349803726842,
          5.802019140156934,
          8.092210099552224,
          6.512043979965219,
          6.978388969995593,
          7.2860321260052805,
          5.202150392620315,
          8.612359853326202,
          7.813495942622323,
          8.333626345004856,
          5.190054349703931,
          4.961861427670621,
          6.36337157602212,
          6.526231359598082,
          6.891772191495801,
          4.819086778559254,
          6.955787892273075,
          7.034662695667886,
          5.479631188070902,
          8.573898381761632,
          3.8641514023657257,
          5.59210276662282,
          4.896218559037073,
          9.223224063520098,
          8.198321381232073,
          5.558092464947259,
          4.847010315864844,
          7.210158975181354,
          5.7970273285906115,
          8.441331834350851,
          6.767072493814919,
          8.120160933041856,
          6.110375979009536,
          5.240675101303393,
          5.801891591245558,
          3.800876325512195,
          7.939421755324085,
          6.61800238392784,
          8.075244184419551,
          5.63671108786055,
          7.924274403077427,
          7.108248160494518,
          4.366650470393547,
          4.2807610678927475,
          3.695545697095332,
          8.223624282260957,
          5.805828303935329,
          3.743296164535048,
          7.594544458960416,
          4.676261258879374,
          6.208296814304108,
          3.7053845972764026,
          4.54560937856109,
          6.940457727156413,
          4.792365966767559,
          4.504395660393396,
          9.333440563148734,
          9.497814416882333,
          11.39318001022411,
          11.247304939682294,
          5.123541563481726,
          7.112229054478799,
          9.140034472497213,
          6.161967318146407,
          10.438659000628755,
          7.894871404483749,
          11.32105365909916,
          7.264695669995039,
          9.521103766113654,
          7.650199354428746,
          8.96376557483726,
          6.4136671059563195,
          7.01592703170705,
          6.786329329769177,
          7.816920119482464,
          9.980180684719047,
          7.282599570919522,
          5.337637236890623,
          7.771815369735482,
          6.186868452811072,
          4.936466514596516,
          10.479811920781836,
          5.247892920747325,
          7.233084996991042,
          5.7630696357212665,
          7.1708408187451,
          7.736179175043334,
          10.537266168528996,
          10.919621870750786,
          9.987465302787342,
          9.87729081207828,
          11.01256239222901
         ],
         "yaxis": "y"
        },
        {
         "alignmentgroup": "True",
         "bingroup": "x",
         "hovertemplate": "x=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#1F77B4"
         },
         "name": "",
         "offsetgroup": "",
         "opacity": 0.5,
         "showlegend": false,
         "type": "histogram",
         "x": [
          3.8913632562654996,
          4.262151355482432,
          1.6310897391359478,
          1.9849489311447686,
          2.9523886166784137,
          2.541590036318883,
          4.270743089472993,
          2.8987488205863485,
          1.8068361342759758,
          3.042501302326855,
          3.3673738894498424,
          3.7539014725993693,
          4.184801325790901,
          2.0681033295061013,
          2.7940459700188347,
          2.613143610109208,
          3.0054720538397035,
          5.940005477920129,
          3.668777195735585,
          4.80449933442296,
          5.611666862219884,
          2.7334924789819546,
          5.965660418840674,
          2.33638289109231,
          3.0256531843457317,
          3.393463278761579,
          0.6774839677372105,
          4.687213388999397,
          4.223551392915326,
          4.760696708008229,
          4.442698407127176,
          4.3396808820102635,
          3.4926497351207,
          0.7212425763480201,
          1.3306524969458118,
          3.1500830369898973,
          0.734617118371091,
          1.1996683446987668,
          5.462402058487892,
          4.03266333111665,
          0.7976876382911522,
          1.1223321888065323,
          4.718707956176605,
          2.5478002094616987,
          5.261404826119101,
          2.800981817152028,
          2.352393483878042,
          5.707796406348017,
          1.1809765061495372,
          5.690155614097989,
          5.505478076237249,
          3.789906469522174,
          2.2820974369940688,
          1.9810363332655232,
          1.9880322459972388,
          1.792183729825237,
          2.5479927639459548,
          2.2910513123232965,
          1.6634459672079718,
          1.793533594085998,
          2.4420658022809136,
          1.7160739464105712,
          2.555022648068422,
          2.5380767940177646,
          2.1809753143731943,
          2.7782372950856984,
          2.1945109180187963,
          2.711205221449578,
          2.6956837843571924,
          2.5842975795893457,
          2.233891851338938,
          2.37016212619057,
          2.4067240297286943,
          2.82157019004846,
          2.111749765310864,
          2.265391004785413,
          1.6811846861494122,
          2.218962747932925,
          1.805920260537746,
          2.656074864522007,
          2.352713554759213,
          2.8273559140019677,
          2.7949125734270512,
          2.4352916021607074,
          2.690907803473479,
          2.5468038334970164,
          2.3149349677636657,
          2.305277098529926,
          1.6250873381822055,
          2.0671127630581716,
          1.5122177782516084,
          1.5781644733145157,
          2.705079410172446,
          1.726666767684688,
          1.6636464832043452,
          2.420604943511057,
          2.025954543921367,
          1.6977519948635742,
          2.3971337382414792,
          2.6512070835840795,
          1.7815668856804625,
          2.164930955589738,
          2.0340087961971145,
          1.7049410270377123,
          2.3042294424598264,
          1.4789638698993954,
          1.6976833338439854,
          1.570783689068884,
          1.6451700537352532,
          2.801179548449918,
          2.2051540751610323,
          2.814821566250255,
          2.750864519727086,
          2.187455937249754,
          2.7526259457365883,
          2.338731569628513,
          2.103403290723919,
          2.71609754871417,
          1.7812630405924172,
          2.55967407722809,
          2.634384901525704,
          2.6185158831529565,
          1.5786494582939052,
          2.5319835657473746,
          2.550617339937094,
          2.3861291753212637,
          2.8318185259379485,
          2.7284803850243025,
          2.375430728444672,
          2.4808172945533817,
          3.0074455819433012,
          2.5733036605518236,
          1.6626375095586292,
          1.9596994528812213,
          2.3949391955290826,
          2.5958701089231906,
          2.970564884879882,
          2.1035599570870214,
          1.828221755681378,
          2.71031884402539,
          1.6267248660933962,
          2.2433539130181526,
          2.0021410619220936,
          2.9911471591711165,
          2.1012238383095534,
          2.7731481602596677,
          2.335281707147078,
          1.6686783818002024,
          2.1514731474089337,
          2.9005353789204724,
          1.6347561199289449,
          2.2450927111326417,
          2.7672617904428645,
          2.3612357698660253,
          2.0041820067391494,
          1.992965103035977,
          1.6359007485826629,
          1.7313346201981645,
          2.7417062678359034,
          1.74793196164071,
          2.042158734673828,
          1.6395640812305667,
          1.638153681809168,
          2.6147656535387425,
          3.0572053712142733,
          2.4644536461843143,
          2.8930428309805074,
          2.3114872410760308,
          1.7332976013385508,
          2.6539736037689465,
          1.7027769230724301,
          2.594243015351696,
          2.4394999512458355,
          1.6248680679250638,
          2.006862727489545,
          1.9711299676657206,
          1.7486065751758326,
          1.8852170266729253,
          2.925009369031576,
          0.998469272460362,
          1.1528154002984559,
          1.7592709002636762,
          2.0649513677939586,
          1.4832718106676839,
          1.1668715156547083,
          1.7344995313033544,
          0.9172115918602137,
          0.767883368989992,
          1.7694152231686548,
          1.8511249833944226,
          1.0115377568365078,
          1.9876985118074701,
          0.49986491850256065,
          0.5380761174508585,
          0.8093672083536314,
          2.5803688854785998,
          1.9094172505056668,
          2.4597924012557684,
          2.8760095073589094,
          2.9049222971509545,
          1.2147818698972366,
          1.2551736763845116,
          3.13497530619392,
          1.7249366230878054,
          1.4290817207073907,
          2.703372871561065,
          2.154260495898537,
          3.1783814596964,
          2.571227566119822,
          1.3503257055218336,
          2.167973990667482,
          2.339692795635853,
          2.977969690628508,
          2.059828249098199,
          2.4719134960801656,
          0.9181346836353211,
          3.234975203487025,
          1.2782174297754594,
          2.2950619306035405,
          1.5773084667707744,
          0.9070635153306161,
          1.8075954982602835,
          1.9442723534379531,
          2.013383975932374,
          2.793867920951784,
          2.148540135209017,
          2.6752895822731046,
          2.675668315581323,
          3.3065407314002684,
          2.408360503336815,
          3.335176747110225,
          2.8115913239785524,
          1.4593257422718868,
          1.6937888756976087,
          2.6252789157863248,
          2.7197331587188476,
          2.151310298985045,
          1.6317497884443188,
          1.584686514242821,
          2.1652480554509617,
          1.376557215720673,
          1.9870457353691569,
          3.106729442344114,
          1.1648930962055473,
          2.8754737316117893,
          1.8370748861009212,
          1.4034407695692,
          1.0653694167403538,
          2.277692095868975,
          2.6957527021441035,
          3.6774183423635076,
          5.23153814724348,
          5.760562852839504,
          2.957074992610738,
          2.4086552672203023,
          2.0834888711850263,
          2.2120205758801146,
          1.7671921686533618,
          3.2663456940005746,
          5.095176196699514,
          4.217677140415733,
          2.954771316661577,
          5.458581676601989,
          3.196187499278162,
          5.277971403964225,
          3.077021952805981,
          4.407775025154315,
          3.4549882887026477,
          2.4019314667716385,
          5.4797540339828,
          5.725859740755291,
          5.416832579382582,
          2.9165401816537804,
          4.462210553687908,
          1.9957213514953565,
          4.915138033099943,
          4.778722205676442,
          4.0802637828672905,
          5.849688284899171,
          3.090522495554019,
          4.718846756568922,
          3.033391754071783,
          4.163470996206254,
          2.9739714083840028,
          1.766793276297631,
          4.7679059857611765,
          5.544551547148167,
          2.774033209448414,
          5.074466694540238,
          2.60581646141357,
          3.713488924449778,
          5.508048868083664,
          4.545129759001642,
          1.8923833265490089,
          2.794728304216143,
          5.0877897676215795,
          4.091246473175185,
          5.058585432329911,
          5.8669933843603275,
          3.803684454947054,
          4.975227256626063,
          3.6881968560356317,
          3.155785935669811,
          4.167526404445662,
          5.317579921077672,
          2.7875531399225837,
          3.3262286774725487,
          4.419162223988288,
          5.653969385930775,
          2.3400306316973847,
          3.9619893810363553,
          3.5850000692637893,
          1.8589945628406437,
          5.529604254071738,
          3.9262738644587944,
          5.1129360860077195,
          2.26393953720464,
          1.9014182204658465,
          4.749530809308273,
          3.0973599767764064,
          2.4277622546701627,
          3.7115869578942235,
          5.541234016861551,
          3.4935222930592023,
          5.094565733055053,
          2.1531133021384905,
          3.50997877117928,
          3.1292342482694417,
          4.812092251521066,
          5.790103852621278,
          3.20255477876474,
          2.0756223042716155,
          4.004245906632834,
          2.5073738891828334,
          1.8371605338311674,
          2.0907172941741963,
          5.549715723554736,
          3.0140236926005035,
          0.9679254297322537,
          2.0193299648144025,
          1.1961760236932975,
          1.537493850272539,
          0.27236947684501367,
          2.026269996151,
          1.5908089879403575,
          1.1384146736705183,
          1.053422520250167,
          0.7218049264426653,
          0.9267500301243854,
          1.9773893457014984,
          1.3543484924740128,
          0.41657661695782405,
          1.979889464237799,
          1.007226981025439,
          0.587101981430789,
          1.153224188489407,
          1.0607263419134882,
          1.4461032478492424,
          0.17039656218756688,
          1.3363324952657498,
          0.12848046071596117,
          2.0174131421345063,
          2.0262873879677468,
          1.0368820347741963,
          2.134632283875581,
          1.9570838717088348,
          1.7424965957094996,
          0.9132414097767265,
          1.3784657967629754,
          2.128538520692644,
          1.6575947185781024,
          0.8957685316326943,
          1.8009777239229021,
          1.1386970174597018,
          1.5982041283658432,
          2.10640086904012,
          0.7573432258388508,
          1.543352987075607,
          1.5510403051201536,
          1.5944539298178384,
          1.4624142960230428,
          2.0514600545352417,
          1.061521770701083,
          1.2354340623568492,
          1.4195591028249024,
          1.6022612022253524,
          1.7279466123583676,
          1.6925197722118652,
          1.4846542924442816,
          0.6626923350119076,
          1.205799466945919,
          2.080333659425207,
          0.5738485832092439,
          1.8491614571410238,
          2.0755336791871115,
          0.15043831287120946,
          1.7379106420726973,
          1.8352114544874436,
          0.22539690630162393,
          0.3291756868434326,
          1.041648204432073,
          1.084041108372566,
          1.3022084879721196,
          1.204798006774387,
          0.7575436961250707,
          0.8088537072933797,
          0.457888220813199,
          0.19764657032963728,
          4.795103537195866,
          0.8647059451657687,
          4.342848247702628,
          1.5263954561254762,
          2.422610138706581,
          1.5939416334164402,
          3.7960074286164778,
          1.4932518796752783,
          3.028589437803551,
          3.202368717490562,
          3.7578910876551532,
          2.831819515780592,
          1.5505641324306338,
          2.103236993185417,
          4.391479632602094,
          4.4174857311190125,
          1.1227640479172247,
          2.6981405451844385,
          3.660479576868103,
          0.9336031377000361,
          4.5602281663172475,
          1.2434924032764423,
          2.918011293113163,
          3.5819535871016024,
          4.144925875278119,
          2.9142951506725616,
          2.2777575852473797,
          1.5865039496703033,
          1.4872025242655136,
          2.4049785533578705,
          1.9808725697775613,
          1.1487315060191081,
          2.9432840843599397,
          2.1257961871687607,
          1.6873155344065938,
          1.1744753811208697,
          1.9078151308259443,
          1.393508006617691,
          1.1931509098078728,
          3.4366985857804773,
          2.3630663916629775,
          1.0259705440963371,
          2.1698018695343295,
          3.419896078253802,
          2.4722456704516995,
          2.0131094131697576,
          1.2993355102402349,
          1.5548382469458844,
          1.8515575043951702,
          2.965261103214727,
          2.1412969397746253,
          2.968398853040341,
          2.312297930516226,
          2.176723135454197,
          2.559496822867826,
          2.3192974621489766,
          2.6991439258326957,
          2.868451844610326,
          3.2456108183492587,
          2.1553978753177985,
          1.516704261288847,
          2.5761335075060834,
          2.3923357408635653,
          2.3536819021544697,
          1.3455722512507005,
          2.674438378200821,
          2.983374987691567,
          1.7223281651831817,
          3.019318393570549,
          1.0342268135127837,
          2.1622493814284303,
          1.8487719760155805,
          3.4141658977638953,
          3.1743907626455283,
          2.2039709876764415,
          1.3974823312322597,
          3.310429015673939,
          2.2379385859189327,
          3.3287570160065645,
          2.1168686221981217,
          3.227636963051185,
          2.913307265832974,
          2.4930888145179924,
          1.7349252874066425,
          1.7765254985209056,
          2.5257875186979506,
          2.203667494028286,
          2.8307532625757963,
          2.111220037649289,
          2.5729231606179233,
          2.339633047633079,
          1.5741516735813201,
          1.4482042214465112,
          1.103073525476347,
          3.0775310997186365,
          2.2801134069761133,
          1.775520533894271,
          2.783908305598337,
          1.360798332628316,
          2.2969227840808095,
          1.4029834956747622,
          1.2497963634121467,
          2.7162455931487095,
          1.7856331960952723,
          1.3198508935918176,
          3.600467273208685,
          3.821628887036103,
          4.622806259740291,
          4.425635923867809,
          1.914243397401564,
          2.3449010646126793,
          3.7138702272925563,
          2.398530604109253,
          3.9211110425715052,
          2.9579561769455918,
          4.5961563250329736,
          2.656841051095241,
          4.1360745023138605,
          2.7022918160166816,
          3.3310562386667777,
          2.5821818796034868,
          2.655867549127525,
          2.00850126161512,
          2.847580855927868,
          4.138922231583284,
          2.2480821879067023,
          1.6747968109388438,
          2.3615422949512803,
          2.1433820690263397,
          1.623219193494351,
          4.643018953546658,
          1.9355870149034855,
          2.815082779622519,
          1.9202005689637263,
          2.8988679322242525,
          3.0183245048951823,
          4.13511601471083,
          4.194191488492427,
          3.786887208147323,
          3.9668306572008682,
          4.621034174514214
         ],
         "xaxis": "x3",
         "yaxis": "y3"
        },
        {
         "alignmentgroup": "True",
         "bingroup": "y",
         "hovertemplate": "y (km/s)=%{y}<br>count=%{x}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#1F77B4"
         },
         "name": "",
         "offsetgroup": "",
         "opacity": 0.5,
         "showlegend": false,
         "type": "histogram",
         "xaxis": "x2",
         "y": [
          10.816091842947959,
          11.062942074427745,
          4.232717206935899,
          5.265821132928699,
          7.245628728935409,
          5.9652596561594775,
          11.297991096345097,
          5.996028866972098,
          5.979379137129363,
          8.4050449450603,
          9.817815843794847,
          10.096212090204066,
          9.973710053913813,
          4.8138720390922005,
          7.554453220656085,
          7.822118530359569,
          7.2116700909711575,
          14.335626191306716,
          9.774474750107208,
          10.338856121612883,
          13.48087753201837,
          7.737000856162567,
          14.526930688636117,
          8.218803337012897,
          8.7646411500444,
          8.094569969556849,
          2.4501438279354737,
          11.659156510414107,
          10.500510104724528,
          11.01394297611344,
          10.72262541949235,
          11.587746230691367,
          9.82048354991042,
          1.5374720206481702,
          3.8442529267051753,
          8.450465800868692,
          3.4780774980040348,
          4.190244713566348,
          12.602636639303745,
          10.0694033769636,
          3.3443311549775534,
          4.646914902130559,
          10.945923990056468,
          7.036756187979469,
          13.728224886925439,
          7.550069964135957,
          5.634113860533712,
          14.769875748135137,
          3.154029617602679,
          13.729797480631614,
          13.9452429755735,
          9.417639668341133,
          6.289245034500442,
          5.550006800309788,
          5.410274922747275,
          6.165796351052945,
          7.296323385205248,
          6.398905650706615,
          5.117233867502103,
          4.9373224203391635,
          6.950299086886127,
          4.7280112529412,
          6.49371547338282,
          6.441914522496998,
          6.092146124780594,
          7.49721106850315,
          6.131221210216961,
          7.1471503114141655,
          8.21491550908201,
          5.816656111442555,
          6.479934161114976,
          6.839510730121887,
          6.92664281088884,
          7.050488791927639,
          5.81779178558867,
          6.374532178609089,
          4.923208949290871,
          5.977030480012191,
          5.320395384165657,
          7.3821479914347945,
          6.586707857938387,
          8.10273663207619,
          6.66522567027028,
          6.460157543725812,
          7.38626083309694,
          6.199364715406128,
          6.2840139281943,
          5.984138881498597,
          4.782782138528817,
          5.727006942620904,
          3.6219869887541716,
          5.116006736275109,
          6.895714369328617,
          5.455569152715273,
          5.59939957309872,
          6.727183976201794,
          5.779053735634369,
          4.874101261035438,
          7.250826469600127,
          7.334855491273349,
          5.249192452041791,
          5.9540925864528464,
          5.7580429529476564,
          4.835486485423232,
          6.4651946045669995,
          4.113735941882163,
          5.386391814688121,
          5.697025630342466,
          4.728948184745193,
          7.420058049185298,
          5.946337331651117,
          7.611215800718876,
          7.298933681708482,
          7.122990557931429,
          7.67093965144685,
          6.0204436889600474,
          6.299150957955903,
          6.821456149684911,
          4.646995631369165,
          6.5703083101080875,
          7.57083089943191,
          6.689118461745127,
          3.8407205846839743,
          7.014003329443116,
          7.509939947121379,
          6.28730279067084,
          7.954515894591592,
          7.282628189015271,
          7.198294537675448,
          6.502930245197409,
          8.450334530935772,
          6.851164668239858,
          4.125078542438779,
          5.283866222579225,
          6.542816026757486,
          6.477388596229207,
          7.909084138804168,
          6.2518096765635125,
          5.446200952627897,
          7.3761919133188085,
          4.0970252886120715,
          6.510600962360209,
          6.01797510567755,
          8.181535326671892,
          5.6012048025228065,
          7.125814168971793,
          5.8804642186923495,
          5.8281242517333816,
          6.440353549682017,
          7.81833784040015,
          4.195475003688183,
          5.6400794364519955,
          7.453119171115268,
          6.635981051565562,
          6.108785655220035,
          5.753777842542104,
          4.625142830536624,
          4.334808230625548,
          7.194092675168688,
          5.639617290624999,
          5.868295980364649,
          4.879526797276994,
          4.666787089845652,
          8.041436779384522,
          8.552365827882078,
          6.844498925781278,
          7.098400974096509,
          6.043595983799893,
          5.613630834741581,
          7.375862642397243,
          4.701527001363792,
          7.0270539569094845,
          7.375277177680846,
          4.967538335708868,
          6.210568461749738,
          5.5412911931882745,
          5.603433436594801,
          5.45141872440536,
          7.863756547750763,
          2.8818330711227533,
          3.431687021463877,
          6.112733831703068,
          5.0870001396100015,
          5.942844413370295,
          4.998896120578959,
          5.728978780038339,
          1.4274558066067338,
          3.0679258730770522,
          5.905223846212101,
          4.662865059382305,
          4.060044752378264,
          4.554249341684434,
          0.916755981755176,
          3.5458474634803037,
          2.3559339682419655,
          7.051951153856299,
          6.562099068478651,
          6.932007192308865,
          7.898560764450188,
          8.881018536659145,
          3.669514757324495,
          3.0624932519677173,
          7.801451951076119,
          4.659476112238947,
          5.343523355382342,
          7.8103540677415495,
          6.425661675596517,
          7.1308292061831215,
          7.596111462916663,
          5.353388468638114,
          5.563396403401646,
          5.732304991230423,
          7.686474200273259,
          7.280572361480239,
          7.628658843383468,
          5.7226547642643695,
          7.21663031533061,
          2.8964518307449727,
          8.60068498258187,
          5.13121902944573,
          2.5330936998909124,
          5.11700822526895,
          6.049553410051453,
          5.261344843085806,
          9.494796133909775,
          6.023485133674253,
          5.8715522822967605,
          8.219868994768898,
          7.321683456919812,
          6.8342781545822735,
          9.097661817717096,
          7.974518616464566,
          4.239961577245192,
          5.606525432978063,
          6.3685200894380305,
          5.685768099936554,
          6.654217399654764,
          3.0241460326590595,
          4.484960561956182,
          5.759340907926816,
          5.235427617086334,
          5.542281731509127,
          8.919680953327243,
          3.5214974637842174,
          7.456557254699135,
          5.947972158612294,
          4.082127590753606,
          3.4091453771688185,
          6.577029668345597,
          7.52708288767497,
          9.93745454399466,
          13.560954828315749,
          13.712568277929604,
          7.785007492829768,
          5.547673260930252,
          5.234404932274531,
          6.15005380546173,
          5.83207406352413,
          10.32609913401075,
          12.613421115510626,
          10.11310226866178,
          8.632098555761264,
          14.432117358067808,
          7.696834488017602,
          13.562892023775786,
          8.882026972803839,
          11.811901081640732,
          8.918596314061995,
          7.634677949108765,
          14.591259510778201,
          13.929711318805195,
          13.861038557311886,
          7.111469939684165,
          10.157312263379957,
          5.430714700807337,
          12.41822445842791,
          10.740871720696905,
          10.275114931120147,
          13.891766319822427,
          7.592570915644726,
          11.986701217538052,
          6.46741822434309,
          12.761987636441502,
          8.320944290061401,
          5.719076300640117,
          12.679122156032008,
          14.027780818811907,
          7.730471673871251,
          11.076611238828654,
          6.746959072325255,
          10.26744246445958,
          14.6281866710749,
          12.687819621402426,
          6.695714718912273,
          7.381507202150199,
          12.904648519341125,
          10.023224885899925,
          12.231370437535922,
          13.474375601933648,
          8.685885025899905,
          13.149713120824957,
          9.60855412664815,
          8.39585394319336,
          9.18540549542273,
          12.879264830135925,
          6.764293053358524,
          8.228755542977922,
          11.256178425401401,
          14.438104234398196,
          7.258555603335283,
          9.802048509622933,
          9.825711181365032,
          6.23941173781226,
          14.201205861910466,
          10.025723745765376,
          12.534113000247949,
          7.84556424680399,
          5.497936212533288,
          11.978956710199022,
          6.9319571264097,
          7.07086899356006,
          9.50028691071657,
          13.436939170234405,
          9.39878725740847,
          12.636625581594737,
          5.750346568528762,
          9.965758473056953,
          7.76281675540831,
          12.917485520036143,
          14.162394707755485,
          9.172094370831562,
          4.0663108179690814,
          10.819266135779714,
          7.194267250859317,
          6.353379641238732,
          6.1987639123119544,
          13.90965228387503,
          6.936007170701289,
          3.202326399853604,
          5.55995498805598,
          3.9486908494677007,
          4.654634319587537,
          1.31429577966544,
          5.894088139324433,
          5.046198691551427,
          2.9260167022218946,
          3.907620879982397,
          1.928378780691293,
          3.8856415563577413,
          6.404486175997307,
          4.244691281506527,
          2.205161740074624,
          5.132208841062649,
          2.5226628956983594,
          1.8436699529616816,
          4.2604814024829825,
          3.2409872906011667,
          4.291930324593807,
          2.409155136516649,
          3.1703545230331427,
          1.211699606157388,
          4.855203872041904,
          5.5592471457773796,
          3.239040729867629,
          6.856012601129022,
          5.782745045812143,
          5.289198760113533,
          3.625806859787831,
          3.62884087847144,
          6.3396743039880405,
          3.9846453278221725,
          3.4509787618395333,
          5.402094436654654,
          3.8651855437021174,
          5.243460434102811,
          6.215685175098872,
          2.6118515719877853,
          4.485968632832435,
          6.020252095151944,
          4.922109036531598,
          3.8711463538844155,
          6.751924350704462,
          3.7232079639448252,
          3.8127328934199896,
          4.685397683710356,
          4.71893272816503,
          4.983511559945007,
          5.29988617900616,
          4.0822654655416795,
          2.957619284748791,
          3.645138059606832,
          6.1360577485314725,
          2.9664056027275887,
          5.385112813640122,
          5.46077773946995,
          1.9650003097785265,
          4.663976887291543,
          5.417861844945864,
          1.5542615885064823,
          2.3517888031124445,
          2.5569487417053325,
          2.4335425992424975,
          4.937823119903102,
          3.8865840875211726,
          3.6652340069872826,
          3.3143457537619376,
          2.1805326170527994,
          1.4293747505979382,
          11.777364883281512,
          3.6695284325661586,
          10.591929673417752,
          4.854705336850003,
          7.754096303286383,
          4.551331596172051,
          10.520511010677914,
          4.343650248799191,
          8.74383582431081,
          8.491888261810296,
          9.220252861640345,
          8.008255315566013,
          4.387693494532599,
          5.581154100535027,
          11.064227059341487,
          11.24615999938945,
          3.2219680455907502,
          7.740198910194239,
          9.339751912129294,
          2.883383844339826,
          12.70107915838512,
          4.098701343185684,
          8.180587342626506,
          7.963287530419493,
          10.31229515082187,
          7.630383499943986,
          5.991602507089725,
          4.78009336298841,
          3.8130133484362707,
          6.478181744234792,
          6.291429435040972,
          2.9907683052181357,
          8.352247690094034,
          5.2514467313027255,
          5.594883567152249,
          2.2862515450750736,
          4.548440623767558,
          5.583342722523805,
          2.82991683722257,
          10.67208793383896,
          6.9790493937000395,
          3.1499757896670926,
          5.304304454264396,
          8.32093955420303,
          5.876403181540577,
          6.009917859472575,
          3.7500024209666116,
          4.916171911833136,
          5.0442855956924655,
          6.684349803726842,
          5.802019140156934,
          8.092210099552224,
          6.512043979965219,
          6.978388969995593,
          7.2860321260052805,
          5.202150392620315,
          8.612359853326202,
          7.813495942622323,
          8.333626345004856,
          5.190054349703931,
          4.961861427670621,
          6.36337157602212,
          6.526231359598082,
          6.891772191495801,
          4.819086778559254,
          6.955787892273075,
          7.034662695667886,
          5.479631188070902,
          8.573898381761632,
          3.8641514023657257,
          5.59210276662282,
          4.896218559037073,
          9.223224063520098,
          8.198321381232073,
          5.558092464947259,
          4.847010315864844,
          7.210158975181354,
          5.7970273285906115,
          8.441331834350851,
          6.767072493814919,
          8.120160933041856,
          6.110375979009536,
          5.240675101303393,
          5.801891591245558,
          3.800876325512195,
          7.939421755324085,
          6.61800238392784,
          8.075244184419551,
          5.63671108786055,
          7.924274403077427,
          7.108248160494518,
          4.366650470393547,
          4.2807610678927475,
          3.695545697095332,
          8.223624282260957,
          5.805828303935329,
          3.743296164535048,
          7.594544458960416,
          4.676261258879374,
          6.208296814304108,
          3.7053845972764026,
          4.54560937856109,
          6.940457727156413,
          4.792365966767559,
          4.504395660393396,
          9.333440563148734,
          9.497814416882333,
          11.39318001022411,
          11.247304939682294,
          5.123541563481726,
          7.112229054478799,
          9.140034472497213,
          6.161967318146407,
          10.438659000628755,
          7.894871404483749,
          11.32105365909916,
          7.264695669995039,
          9.521103766113654,
          7.650199354428746,
          8.96376557483726,
          6.4136671059563195,
          7.01592703170705,
          6.786329329769177,
          7.816920119482464,
          9.980180684719047,
          7.282599570919522,
          5.337637236890623,
          7.771815369735482,
          6.186868452811072,
          4.936466514596516,
          10.479811920781836,
          5.247892920747325,
          7.233084996991042,
          5.7630696357212665,
          7.1708408187451,
          7.736179175043334,
          10.537266168528996,
          10.919621870750786,
          9.987465302787342,
          9.87729081207828,
          11.01256239222901
         ],
         "yaxis": "y2"
        },
        {
         "hovertemplate": "<b>OLS trendline</b><br>y = 2.25567 * x + 1.18151<br>R<sup>2</sup>=0.943460<br><br>x=%{x}<br>y (km/s)=%{y} <b>(trend)</b><extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#1F77B4",
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          0.12848046071596117,
          0.15043831287120946,
          0.17039656218756688,
          0.19764657032963728,
          0.22539690630162393,
          0.27236947684501367,
          0.3291756868434326,
          0.41657661695782405,
          0.457888220813199,
          0.49986491850256065,
          0.5380761174508585,
          0.5738485832092439,
          0.587101981430789,
          0.6626923350119076,
          0.6774839677372105,
          0.7212425763480201,
          0.7218049264426653,
          0.734617118371091,
          0.7573432258388508,
          0.7575436961250707,
          0.767883368989992,
          0.7976876382911522,
          0.8088537072933797,
          0.8093672083536314,
          0.8647059451657687,
          0.8957685316326943,
          0.9070635153306161,
          0.9132414097767265,
          0.9172115918602137,
          0.9181346836353211,
          0.9267500301243854,
          0.9336031377000361,
          0.9679254297322537,
          0.998469272460362,
          1.007226981025439,
          1.0115377568365078,
          1.0259705440963371,
          1.0342268135127837,
          1.0368820347741963,
          1.041648204432073,
          1.053422520250167,
          1.0607263419134882,
          1.061521770701083,
          1.0653694167403538,
          1.084041108372566,
          1.103073525476347,
          1.1223321888065323,
          1.1227640479172247,
          1.1384146736705183,
          1.1386970174597018,
          1.1487315060191081,
          1.1528154002984559,
          1.153224188489407,
          1.1648930962055473,
          1.1668715156547083,
          1.1744753811208697,
          1.1809765061495372,
          1.1931509098078728,
          1.1961760236932975,
          1.1996683446987668,
          1.204798006774387,
          1.205799466945919,
          1.2147818698972366,
          1.2354340623568492,
          1.2434924032764423,
          1.2497963634121467,
          1.2551736763845116,
          1.2782174297754594,
          1.2993355102402349,
          1.3022084879721196,
          1.3198508935918176,
          1.3306524969458118,
          1.3363324952657498,
          1.3455722512507005,
          1.3503257055218336,
          1.3543484924740128,
          1.360798332628316,
          1.376557215720673,
          1.3784657967629754,
          1.393508006617691,
          1.3974823312322597,
          1.4029834956747622,
          1.4034407695692,
          1.4195591028249024,
          1.4290817207073907,
          1.4461032478492424,
          1.4482042214465112,
          1.4593257422718868,
          1.4624142960230428,
          1.4789638698993954,
          1.4832718106676839,
          1.4846542924442816,
          1.4872025242655136,
          1.4932518796752783,
          1.5122177782516084,
          1.516704261288847,
          1.5263954561254762,
          1.537493850272539,
          1.543352987075607,
          1.5505641324306338,
          1.5510403051201536,
          1.5548382469458844,
          1.570783689068884,
          1.5741516735813201,
          1.5773084667707744,
          1.5781644733145157,
          1.5786494582939052,
          1.584686514242821,
          1.5865039496703033,
          1.5908089879403575,
          1.5939416334164402,
          1.5944539298178384,
          1.5982041283658432,
          1.6022612022253524,
          1.623219193494351,
          1.6248680679250638,
          1.6250873381822055,
          1.6267248660933962,
          1.6310897391359478,
          1.6317497884443188,
          1.6347561199289449,
          1.6359007485826629,
          1.638153681809168,
          1.6395640812305667,
          1.6451700537352532,
          1.6575947185781024,
          1.6626375095586292,
          1.6634459672079718,
          1.6636464832043452,
          1.6686783818002024,
          1.6747968109388438,
          1.6811846861494122,
          1.6873155344065938,
          1.6925197722118652,
          1.6937888756976087,
          1.6976833338439854,
          1.6977519948635742,
          1.7027769230724301,
          1.7049410270377123,
          1.7160739464105712,
          1.7223281651831817,
          1.7249366230878054,
          1.726666767684688,
          1.7279466123583676,
          1.7313346201981645,
          1.7332976013385508,
          1.7344995313033544,
          1.7349252874066425,
          1.7379106420726973,
          1.7424965957094996,
          1.74793196164071,
          1.7486065751758326,
          1.7592709002636762,
          1.766793276297631,
          1.7671921686533618,
          1.7694152231686548,
          1.775520533894271,
          1.7765254985209056,
          1.7812630405924172,
          1.7815668856804625,
          1.7856331960952723,
          1.792183729825237,
          1.793533594085998,
          1.8009777239229021,
          1.805920260537746,
          1.8068361342759758,
          1.8075954982602835,
          1.828221755681378,
          1.8352114544874436,
          1.8370748861009212,
          1.8371605338311674,
          1.8487719760155805,
          1.8491614571410238,
          1.8511249833944226,
          1.8515575043951702,
          1.8589945628406437,
          1.8852170266729253,
          1.8923833265490089,
          1.9014182204658465,
          1.9078151308259443,
          1.9094172505056668,
          1.914243397401564,
          1.9202005689637263,
          1.9355870149034855,
          1.9442723534379531,
          1.9570838717088348,
          1.9596994528812213,
          1.9711299676657206,
          1.9773893457014984,
          1.979889464237799,
          1.9808725697775613,
          1.9810363332655232,
          1.9849489311447686,
          1.9870457353691569,
          1.9876985118074701,
          1.9880322459972388,
          1.992965103035977,
          1.9957213514953565,
          2.0021410619220936,
          2.0041820067391494,
          2.006862727489545,
          2.00850126161512,
          2.0131094131697576,
          2.013383975932374,
          2.0174131421345063,
          2.0193299648144025,
          2.025954543921367,
          2.026269996151,
          2.0262873879677468,
          2.0340087961971145,
          2.042158734673828,
          2.0514600545352417,
          2.059828249098199,
          2.0649513677939586,
          2.0671127630581716,
          2.0681033295061013,
          2.0755336791871115,
          2.0756223042716155,
          2.080333659425207,
          2.0834888711850263,
          2.0907172941741963,
          2.1012238383095534,
          2.103236993185417,
          2.103403290723919,
          2.1035599570870214,
          2.10640086904012,
          2.111220037649289,
          2.111749765310864,
          2.1168686221981217,
          2.1257961871687607,
          2.128538520692644,
          2.134632283875581,
          2.1412969397746253,
          2.1433820690263397,
          2.148540135209017,
          2.151310298985045,
          2.1514731474089337,
          2.1531133021384905,
          2.154260495898537,
          2.1553978753177985,
          2.1622493814284303,
          2.164930955589738,
          2.1652480554509617,
          2.167973990667482,
          2.1698018695343295,
          2.176723135454197,
          2.1809753143731943,
          2.187455937249754,
          2.1945109180187963,
          2.203667494028286,
          2.2039709876764415,
          2.2051540751610323,
          2.2120205758801146,
          2.218962747932925,
          2.233891851338938,
          2.2379385859189327,
          2.2433539130181526,
          2.2450927111326417,
          2.2480821879067023,
          2.26393953720464,
          2.265391004785413,
          2.277692095868975,
          2.2777575852473797,
          2.2801134069761133,
          2.2820974369940688,
          2.2910513123232965,
          2.2950619306035405,
          2.2969227840808095,
          2.3042294424598264,
          2.305277098529926,
          2.3114872410760308,
          2.312297930516226,
          2.3149349677636657,
          2.3192974621489766,
          2.335281707147078,
          2.33638289109231,
          2.338731569628513,
          2.339633047633079,
          2.339692795635853,
          2.3400306316973847,
          2.3449010646126793,
          2.352393483878042,
          2.352713554759213,
          2.3536819021544697,
          2.3612357698660253,
          2.3615422949512803,
          2.3630663916629775,
          2.37016212619057,
          2.375430728444672,
          2.3861291753212637,
          2.3923357408635653,
          2.3949391955290826,
          2.3971337382414792,
          2.398530604109253,
          2.4019314667716385,
          2.4049785533578705,
          2.4067240297286943,
          2.408360503336815,
          2.4086552672203023,
          2.420604943511057,
          2.422610138706581,
          2.4277622546701627,
          2.4352916021607074,
          2.4394999512458355,
          2.4420658022809136,
          2.4597924012557684,
          2.4644536461843143,
          2.4719134960801656,
          2.4722456704516995,
          2.4808172945533817,
          2.4930888145179924,
          2.5073738891828334,
          2.5257875186979506,
          2.5319835657473746,
          2.5380767940177646,
          2.541590036318883,
          2.5468038334970164,
          2.5478002094616987,
          2.5479927639459548,
          2.550617339937094,
          2.555022648068422,
          2.559496822867826,
          2.55967407722809,
          2.571227566119822,
          2.5729231606179233,
          2.5733036605518236,
          2.5761335075060834,
          2.5803688854785998,
          2.5821818796034868,
          2.5842975795893457,
          2.594243015351696,
          2.5958701089231906,
          2.60581646141357,
          2.613143610109208,
          2.6147656535387425,
          2.6185158831529565,
          2.6252789157863248,
          2.634384901525704,
          2.6512070835840795,
          2.6539736037689465,
          2.655867549127525,
          2.656074864522007,
          2.656841051095241,
          2.674438378200821,
          2.6752895822731046,
          2.675668315581323,
          2.690907803473479,
          2.6956837843571924,
          2.6957527021441035,
          2.6981405451844385,
          2.6991439258326957,
          2.7022918160166816,
          2.703372871561065,
          2.705079410172446,
          2.71031884402539,
          2.711205221449578,
          2.71609754871417,
          2.7162455931487095,
          2.7197331587188476,
          2.7284803850243025,
          2.7334924789819546,
          2.7417062678359034,
          2.750864519727086,
          2.7526259457365883,
          2.7672617904428645,
          2.7731481602596677,
          2.774033209448414,
          2.7782372950856984,
          2.783908305598337,
          2.7875531399225837,
          2.793867920951784,
          2.7940459700188347,
          2.794728304216143,
          2.7949125734270512,
          2.800981817152028,
          2.801179548449918,
          2.8115913239785524,
          2.814821566250255,
          2.815082779622519,
          2.82157019004846,
          2.8273559140019677,
          2.8307532625757963,
          2.8318185259379485,
          2.831819515780592,
          2.847580855927868,
          2.868451844610326,
          2.8754737316117893,
          2.8760095073589094,
          2.8930428309805074,
          2.8987488205863485,
          2.8988679322242525,
          2.9005353789204724,
          2.9049222971509545,
          2.913307265832974,
          2.9142951506725616,
          2.9165401816537804,
          2.918011293113163,
          2.925009369031576,
          2.9432840843599397,
          2.9523886166784137,
          2.954771316661577,
          2.957074992610738,
          2.9579561769455918,
          2.965261103214727,
          2.968398853040341,
          2.970564884879882,
          2.9739714083840028,
          2.977969690628508,
          2.983374987691567,
          2.9911471591711165,
          3.0054720538397035,
          3.0074455819433012,
          3.0140236926005035,
          3.0183245048951823,
          3.019318393570549,
          3.0256531843457317,
          3.028589437803551,
          3.033391754071783,
          3.042501302326855,
          3.0572053712142733,
          3.077021952805981,
          3.0775310997186365,
          3.090522495554019,
          3.0973599767764064,
          3.106729442344114,
          3.1292342482694417,
          3.13497530619392,
          3.1500830369898973,
          3.155785935669811,
          3.1743907626455283,
          3.1783814596964,
          3.196187499278162,
          3.202368717490562,
          3.20255477876474,
          3.227636963051185,
          3.234975203487025,
          3.2456108183492587,
          3.2663456940005746,
          3.3065407314002684,
          3.310429015673939,
          3.3262286774725487,
          3.3287570160065645,
          3.3310562386667777,
          3.335176747110225,
          3.3673738894498424,
          3.393463278761579,
          3.4141658977638953,
          3.419896078253802,
          3.4366985857804773,
          3.4549882887026477,
          3.4926497351207,
          3.4935222930592023,
          3.50997877117928,
          3.5819535871016024,
          3.5850000692637893,
          3.600467273208685,
          3.660479576868103,
          3.668777195735585,
          3.6774183423635076,
          3.6881968560356317,
          3.7115869578942235,
          3.713488924449778,
          3.7138702272925563,
          3.7539014725993693,
          3.7578910876551532,
          3.786887208147323,
          3.789906469522174,
          3.7960074286164778,
          3.803684454947054,
          3.821628887036103,
          3.8913632562654996,
          3.9211110425715052,
          3.9262738644587944,
          3.9619893810363553,
          3.9668306572008682,
          4.004245906632834,
          4.03266333111665,
          4.0802637828672905,
          4.091246473175185,
          4.13511601471083,
          4.1360745023138605,
          4.138922231583284,
          4.144925875278119,
          4.163470996206254,
          4.167526404445662,
          4.184801325790901,
          4.194191488492427,
          4.217677140415733,
          4.223551392915326,
          4.262151355482432,
          4.270743089472993,
          4.3396808820102635,
          4.342848247702628,
          4.391479632602094,
          4.407775025154315,
          4.4174857311190125,
          4.419162223988288,
          4.425635923867809,
          4.442698407127176,
          4.462210553687908,
          4.545129759001642,
          4.5602281663172475,
          4.5961563250329736,
          4.621034174514214,
          4.622806259740291,
          4.643018953546658,
          4.687213388999397,
          4.718707956176605,
          4.718846756568922,
          4.749530809308273,
          4.760696708008229,
          4.7679059857611765,
          4.778722205676442,
          4.795103537195866,
          4.80449933442296,
          4.812092251521066,
          4.915138033099943,
          4.975227256626063,
          5.058585432329911,
          5.074466694540238,
          5.0877897676215795,
          5.094565733055053,
          5.095176196699514,
          5.1129360860077195,
          5.23153814724348,
          5.261404826119101,
          5.277971403964225,
          5.317579921077672,
          5.416832579382582,
          5.458581676601989,
          5.462402058487892,
          5.4797540339828,
          5.505478076237249,
          5.508048868083664,
          5.529604254071738,
          5.541234016861551,
          5.544551547148167,
          5.549715723554736,
          5.611666862219884,
          5.653969385930775,
          5.690155614097989,
          5.707796406348017,
          5.725859740755291,
          5.760562852839504,
          5.790103852621278,
          5.849688284899171,
          5.8669933843603275,
          5.940005477920129,
          5.965660418840674
         ],
         "xaxis": "x",
         "y": [
          1.4713186531191456,
          1.5208483503843664,
          1.5658676008827221,
          1.627334662606651,
          1.6899302994650647,
          1.7958849794735665,
          1.924021117931615,
          2.121168888973048,
          2.2143542888031664,
          2.3090399217169866,
          2.395231827130557,
          2.4759227520405243,
          2.5058180622469752,
          2.676325054578142,
          2.709690116231837,
          2.8083951544986445,
          2.8096636314766252,
          2.838563725303296,
          2.8898263540402316,
          2.8902785491145466,
          2.9136014526116707,
          2.980830087965459,
          3.006017069525069,
          3.00717535913736,
          3.13200136042227,
          3.2020683457131716,
          3.227546116454057,
          3.241481415748765,
          3.250436841593361,
          3.2525190332324074,
          3.2719524231842723,
          3.287410781367399,
          3.364830591000188,
          3.4337274609191395,
          3.4534819729223374,
          3.463205666268612,
          3.4957612904990003,
          3.5143847205979664,
          3.520374027034685,
          3.5311249392186386,
          3.557683925673783,
          3.574158946696137,
          3.5759531725961504,
          3.5846321974006443,
          3.6267493966346316,
          3.6696802739677485,
          3.7131214884240946,
          3.714095620632591,
          3.7493982882200774,
          3.750035163006559,
          3.772669671019672,
          3.7818815942027375,
          3.782803685999342,
          3.809124906422446,
          3.8135875704247244,
          3.8307393916466568,
          3.8454037928948583,
          3.872865246015073,
          3.8796889086337365,
          3.8875664369516656,
          3.8991372685558683,
          3.9013962335388026,
          3.9216575822238853,
          3.9682421403653425,
          3.9864191088313583,
          4.0006387708860025,
          4.012768221514347,
          4.064747355048828,
          4.11238280339995,
          4.1188632968609635,
          4.158658765160672,
          4.183023632011934,
          4.195835841296541,
          4.216677693837648,
          4.227399924288454,
          4.236474009426434,
          4.251022728854593,
          4.286569589416539,
          4.290874720927719,
          4.324805002224649,
          4.3337697722577815,
          4.346178591094747,
          4.3472100507019364,
          4.383567712686835,
          4.405047608696576,
          4.443442579223152,
          4.44818168510196,
          4.473268180616871,
          4.480234942720948,
          4.517565341804095,
          4.527282640225691,
          4.5304010647139075,
          4.536149038139307,
          4.5497943956167575,
          4.592575229015528,
          4.60269526011187,
          4.624555410321587,
          4.649589739651596,
          4.662806026474172,
          4.679072000206244,
          4.680146089283404,
          4.688712997719137,
          4.724680674135225,
          4.7322777401923,
          4.73939842803996,
          4.741329297446894,
          4.742423264153542,
          4.756040878089955,
          4.7601404150522155,
          4.7698511663918,
          4.776917384935063,
          4.778072957232932,
          4.786532172526572,
          4.795683597657927,
          4.842957937402151,
          4.846677256159019,
          4.847171857788483,
          4.85086558252673,
          4.86071130144633,
          4.862200155738298,
          4.8689814514342356,
          4.871563357455777,
          4.876645234311428,
          4.87982663183023,
          4.892471863206738,
          4.920497823302341,
          4.931872702269162,
          4.933696316998898,
          4.934148615180296,
          4.945498924507454,
          4.959300089613814,
          4.9737090364958,
          4.987538215051619,
          4.999277264990058,
          5.002139945319749,
          5.0109245628514785,
          5.0110794395438845,
          5.022414025969025,
          5.0272955332081235,
          5.052407740099634,
          5.0665152019883335,
          5.072399025662508,
          5.076301663202044,
          5.079188572121263,
          5.0868308042235135,
          5.0912586444755235,
          5.093969803420843,
          5.094930169250597,
          5.101664148138585,
          5.112008552213137,
          5.124268951235552,
          5.125790657636042,
          5.1498458698400515,
          5.166813877687208,
          5.167713647732159,
          5.172728128035972,
          5.186499702314361,
          5.188766572196148,
          5.199452909954696,
          5.200138284604273,
          5.209310544368478,
          5.224086395406951,
          5.227131245500301,
          5.24392275564519,
          5.255071493715047,
          5.257137403835351,
          5.2588502793930765,
          5.305376336612072,
          5.321142799715648,
          5.3253460889553,
          5.325539282083687,
          5.351730879155221,
          5.352609420557966,
          5.3570384904057615,
          5.358014115620669,
          5.374789675030746,
          5.433938934529275,
          5.450103751600846,
          5.470483502651197,
          5.484912829860811,
          5.488526685266988,
          5.499412886386352,
          5.512850307402976,
          5.547557072162835,
          5.567148341163858,
          5.596046915440528,
          5.601946806865472,
          5.627730291190762,
          5.641849390681399,
          5.647488836350066,
          5.649706399316603,
          5.650075795918989,
          5.658901330725829,
          5.663631031869825,
          5.66510348095742,
          5.665856275596413,
          5.676983179724099,
          5.683200370313395,
          5.697681126979328,
          5.702284827660481,
          5.70833165256307,
          5.712027646990242,
          5.722422122271327,
          5.723041445619373,
          5.732129920248489,
          5.736453642185186,
          5.751396515256632,
          5.7521080718025495,
          5.752147302024717,
          5.769564261086003,
          5.787947843534223,
          5.808928563945562,
          5.827804460387039,
          5.839360532276983,
          5.844235929576776,
          5.846470321899856,
          5.863230748542369,
          5.863430657603352,
          5.874057926282296,
          5.88117504694449,
          5.897479993340305,
          5.921179303575597,
          5.925720319283533,
          5.926095431871035,
          5.926448819692451,
          5.932856983296034,
          5.94372744369419,
          5.944922335185641,
          5.956468793836391,
          5.976606446061435,
          5.982792249129872,
          5.99653777594747,
          6.011571049089245,
          6.016274415332266,
          6.02790931726601,
          6.034157896235925,
          6.034525228754529,
          6.038224878731617,
          6.040812570789926,
          6.04337812492124,
          6.058832870725661,
          6.064881620642764,
          6.065596893703999,
          6.071745707580888,
          6.075868801509763,
          6.0914809025148795,
          6.101072420532507,
          6.115690575664287,
          6.131604293419194,
          6.1522585192755965,
          6.152943101192298,
          6.155611757695482,
          6.171100326408077,
          6.186759584777597,
          6.220434735102547,
          6.229562838217674,
          6.2417780362215645,
          6.2457001932525475,
          6.2524434702613245,
          6.288212438218785,
          6.291486472006683,
          6.319233690318066,
          6.319381412830429,
          6.324695372329291,
          6.329170691930665,
          6.349367691676889,
          6.358414328290634,
          6.362611802102389,
          6.37909322182297,
          6.381456389569214,
          6.395464429978073,
          6.397293078894418,
          6.403241368172411,
          6.413081721623103,
          6.4491369245715315,
          6.451620833610313,
          6.456918680414681,
          6.458952118491489,
          6.459086890347528,
          6.459848937461,
          6.470835033284013,
          6.4877354685075375,
          6.488457443213248,
          6.490641716656549,
          6.507680759377559,
          6.50837217921997,
          6.511810040455192,
          6.527815685294277,
          6.539699920273705,
          6.563832100017843,
          6.577832071881824,
          6.583704609893061,
          6.588654776940917,
          6.591805647211004,
          6.59947687556784,
          6.606350101377448,
          6.610287322359683,
          6.613978668936738,
          6.6146435593736825,
          6.641598101416948,
          6.64612116270226,
          6.6577426428974675,
          6.674726376059281,
          6.684219028377871,
          6.690006744958552,
          6.729992125794476,
          6.740506362276152,
          6.757333331707093,
          6.758082607908838,
          6.777417374525623,
          6.805097890112206,
          6.837320323279084,
          6.878855419197821,
          6.892831664799132,
          6.906575985029843,
          6.914500704914257,
          6.926261317655859,
          6.928508814339239,
          6.928943153966122,
          6.934863334745716,
          6.9448002619352245,
          6.954892529692534,
          6.955292357268599,
          6.9813532307601704,
          6.985177934632924,
          6.986036217419523,
          6.992419422022614,
          7.001973042627187,
          7.006062561470577,
          7.0108348852417155,
          7.033268519414909,
          7.0369387077124035,
          7.059374409722716,
          7.075902048862753,
          7.079560845699888,
          7.088020131068683,
          7.1032753097882235,
          7.123815420623474,
          7.161760734163288,
          7.168001094389133,
          7.1722732126083475,
          7.172740847997025,
          7.17446911307289,
          7.214162899061341,
          7.216082935671162,
          7.216937233530883,
          7.251312509238124,
          7.262085552322771,
          7.2622410081978614,
          7.2676271972508,
          7.2698904941979965,
          7.276991099791596,
          7.279429605773949,
          7.2832789959691056,
          7.2950974366227115,
          7.297096812753509,
          7.3081322950322125,
          7.308466234616681,
          7.316333036235537,
          7.33606390370638,
          7.347369540279219,
          7.365897148191875,
          7.386555154286542,
          7.390528352411245,
          7.423542007499062,
          7.436819723049565,
          7.438816103117775,
          7.448299138499356,
          7.461091074244846,
          7.469312622481231,
          7.483556692914947,
          7.483958313088316,
          7.485497434765037,
          7.485913085538485,
          7.4996033045180805,
          7.500049321334984,
          7.523534864742446,
          7.530821229578111,
          7.531410441089255,
          7.5460439067014775,
          7.559094598265082,
          7.566757899993158,
          7.569160784003037,
          7.569163016762696,
          7.604715419632944,
          7.651793510138301,
          7.667632579230945,
          7.668841113215475,
          7.707262692723043,
          7.720133529805725,
          7.720402206510734,
          7.724163418194179,
          7.734058863811846,
          7.752972597152542,
          7.755200940648605,
          7.760264992636232,
          7.7635833365576445,
          7.779368695673252,
          7.820590446845559,
          7.841127279240965,
          7.846501867247365,
          7.851698203007002,
          7.853685865235146,
          7.8701633778851505,
          7.877241110163238,
          7.882126966053001,
          7.889810963408163,
          7.898829773979939,
          7.911022347518964,
          7.928553811787589,
          7.960866065794715,
          7.965317696529109,
          7.980155752051333,
          7.989856970979481,
          7.992098857155698,
          8.006388062999463,
          8.013011285700458,
          8.023843732756557,
          8.044391879456269,
          8.077559425872538,
          8.122259120548014,
          8.123407588634466,
          8.152711907573757,
          8.168135017840054,
          8.189269452566382,
          8.24003289776189,
          8.25298283744502,
          8.287060912449745,
          8.299924777419472,
          8.341891151965756,
          8.350892852833828,
          8.39105742556807,
          8.405000222187057,
          8.40541991526622,
          8.461997078901105,
          8.478549737361359,
          8.502540188732988,
          8.549311252978278,
          8.639978045882028,
          8.648748737186185,
          8.684387581106126,
          8.690090681814173,
          8.695276972417668,
          8.704571485120448,
          8.777197655549658,
          8.836046742669318,
          8.882745046516712,
          8.895670450282687,
          8.93357138454569,
          8.97482694280344,
          9.059778787203696,
          9.06174699111703,
          9.098867396773116,
          9.261218924515804,
          9.26809078694343,
          9.302979715219005,
          9.438347747184235,
          9.45706444805383,
          9.476556034638863,
          9.500868818757038,
          9.553629200595287,
          9.55791941199844,
          9.558779505883564,
          9.649076837661633,
          9.658076097904422,
          9.723481815170796,
          9.730292276449232,
          9.744054034877692,
          9.76137088296293,
          9.801847623706195,
          9.95914544010886,
          10.026246668390643,
          10.037892297630869,
          10.118454763907186,
          10.129375091683796,
          10.213771596604476,
          10.277871965884186,
          10.385242939521673,
          10.41001627902053,
          10.508971545503876,
          10.511133578496672,
          10.51755711972514,
          10.531099366598424,
          10.572931063925791,
          10.582078731965662,
          10.621045276528431,
          10.642226397185835,
          10.695202308564292,
          10.708452691429938,
          10.795521519787117,
          10.814901647703412,
          10.97040264891074,
          10.977547184849952,
          11.087243604819847,
          11.124000654381113,
          11.145904815282757,
          11.149686432159282,
          11.164288971285218,
          11.202776325351282,
          11.246789314659834,
          11.433827787622697,
          11.467884831920182,
          11.54892694896811,
          11.605043200444054,
          11.609040442257838,
          11.654633635893795,
          11.754321756266638,
          11.825363148054741,
          11.825676236118326,
          11.89488937373784,
          11.920075971151501,
          11.936337732187134,
          11.960735569196393,
          11.997686468820897,
          12.018880299116004,
          12.036007424418157,
          12.268444838149442,
          12.403986376051616,
          12.592015021931985,
          12.62783792956,
          12.657890403349134,
          12.673174754214905,
          12.67455175954711,
          12.71461223243307,
          12.982139499968405,
          13.04950891080914,
          13.0868776652569,
          13.176221461174775,
          13.400102835539325,
          13.494275076601586,
          13.502892602437374,
          13.542032955835325,
          13.600057940077512,
          13.605856801504604,
          13.65447866738091,
          13.680711589716536,
          13.688194847623665,
          13.699843532214175,
          13.839584938688082,
          13.935005528012638,
          14.016629764919795,
          14.056421593987816,
          14.097166539279693,
          14.175445353780285,
          14.242080139630845,
          14.37648303439388,
          14.415517650867091,
          14.580208936023256,
          14.63807805036867
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "barmode": "overlay",
        "height": 800,
        "legend": {
         "tracegroupgap": 0
        },
        "margin": {
         "t": 60
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "rgb(36,36,36)"
            },
            "error_y": {
             "color": "rgb(36,36,36)"
            },
            "marker": {
             "line": {
              "color": "white",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "white",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "rgb(36,36,36)",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "rgb(36,36,36)"
            },
            "baxis": {
             "endlinecolor": "rgb(36,36,36)",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "rgb(36,36,36)"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 1,
             "tickcolor": "rgb(36,36,36)",
             "ticks": "outside"
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 1,
             "tickcolor": "rgb(36,36,36)",
             "ticks": "outside"
            },
            "colorscale": [
             [
              0,
              "#440154"
             ],
             [
              0.1111111111111111,
              "#482878"
             ],
             [
              0.2222222222222222,
              "#3e4989"
             ],
             [
              0.3333333333333333,
              "#31688e"
             ],
             [
              0.4444444444444444,
              "#26828e"
             ],
             [
              0.5555555555555556,
              "#1f9e89"
             ],
             [
              0.6666666666666666,
              "#35b779"
             ],
             [
              0.7777777777777778,
              "#6ece58"
             ],
             [
              0.8888888888888888,
              "#b5de2b"
             ],
             [
              1,
              "#fde725"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 1,
             "tickcolor": "rgb(36,36,36)",
             "ticks": "outside"
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 1,
             "tickcolor": "rgb(36,36,36)",
             "ticks": "outside"
            },
            "colorscale": [
             [
              0,
              "#440154"
             ],
             [
              0.1111111111111111,
              "#482878"
             ],
             [
              0.2222222222222222,
              "#3e4989"
             ],
             [
              0.3333333333333333,
              "#31688e"
             ],
             [
              0.4444444444444444,
              "#26828e"
             ],
             [
              0.5555555555555556,
              "#1f9e89"
             ],
             [
              0.6666666666666666,
              "#35b779"
             ],
             [
              0.7777777777777778,
              "#6ece58"
             ],
             [
              0.8888888888888888,
              "#b5de2b"
             ],
             [
              1,
              "#fde725"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 1,
             "tickcolor": "rgb(36,36,36)",
             "ticks": "outside"
            },
            "colorscale": [
             [
              0,
              "#440154"
             ],
             [
              0.1111111111111111,
              "#482878"
             ],
             [
              0.2222222222222222,
              "#3e4989"
             ],
             [
              0.3333333333333333,
              "#31688e"
             ],
             [
              0.4444444444444444,
              "#26828e"
             ],
             [
              0.5555555555555556,
              "#1f9e89"
             ],
             [
              0.6666666666666666,
              "#35b779"
             ],
             [
              0.7777777777777778,
              "#6ece58"
             ],
             [
              0.8888888888888888,
              "#b5de2b"
             ],
             [
              1,
              "#fde725"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "line": {
              "color": "white",
              "width": 0.6
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 1,
             "tickcolor": "rgb(36,36,36)",
             "ticks": "outside"
            },
            "colorscale": [
             [
              0,
              "#440154"
             ],
             [
              0.1111111111111111,
              "#482878"
             ],
             [
              0.2222222222222222,
              "#3e4989"
             ],
             [
              0.3333333333333333,
              "#31688e"
             ],
             [
              0.4444444444444444,
              "#26828e"
             ],
             [
              0.5555555555555556,
              "#1f9e89"
             ],
             [
              0.6666666666666666,
              "#35b779"
             ],
             [
              0.7777777777777778,
              "#6ece58"
             ],
             [
              0.8888888888888888,
              "#b5de2b"
             ],
             [
              1,
              "#fde725"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 1,
             "tickcolor": "rgb(36,36,36)",
             "ticks": "outside"
            },
            "colorscale": [
             [
              0,
              "#440154"
             ],
             [
              0.1111111111111111,
              "#482878"
             ],
             [
              0.2222222222222222,
              "#3e4989"
             ],
             [
              0.3333333333333333,
              "#31688e"
             ],
             [
              0.4444444444444444,
              "#26828e"
             ],
             [
              0.5555555555555556,
              "#1f9e89"
             ],
             [
              0.6666666666666666,
              "#35b779"
             ],
             [
              0.7777777777777778,
              "#6ece58"
             ],
             [
              0.8888888888888888,
              "#b5de2b"
             ],
             [
              1,
              "#fde725"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 1,
             "tickcolor": "rgb(36,36,36)",
             "ticks": "outside"
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 1,
              "tickcolor": "rgb(36,36,36)",
              "ticks": "outside"
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 1,
              "tickcolor": "rgb(36,36,36)",
              "ticks": "outside"
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 1,
              "tickcolor": "rgb(36,36,36)",
              "ticks": "outside"
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 1,
              "tickcolor": "rgb(36,36,36)",
              "ticks": "outside"
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 1,
              "tickcolor": "rgb(36,36,36)",
              "ticks": "outside"
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 1,
              "tickcolor": "rgb(36,36,36)",
              "ticks": "outside"
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 1,
              "tickcolor": "rgb(36,36,36)",
              "ticks": "outside"
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 1,
              "tickcolor": "rgb(36,36,36)",
              "ticks": "outside"
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 1,
              "tickcolor": "rgb(36,36,36)",
              "ticks": "outside"
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 1,
              "tickcolor": "rgb(36,36,36)",
              "ticks": "outside"
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 1,
             "tickcolor": "rgb(36,36,36)",
             "ticks": "outside"
            },
            "colorscale": [
             [
              0,
              "#440154"
             ],
             [
              0.1111111111111111,
              "#482878"
             ],
             [
              0.2222222222222222,
              "#3e4989"
             ],
             [
              0.3333333333333333,
              "#31688e"
             ],
             [
              0.4444444444444444,
              "#26828e"
             ],
             [
              0.5555555555555556,
              "#1f9e89"
             ],
             [
              0.6666666666666666,
              "#35b779"
             ],
             [
              0.7777777777777778,
              "#6ece58"
             ],
             [
              0.8888888888888888,
              "#b5de2b"
             ],
             [
              1,
              "#fde725"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "rgb(237,237,237)"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "rgb(217,217,217)"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 1,
            "tickcolor": "rgb(36,36,36)",
            "ticks": "outside"
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "rgb(103,0,31)"
            ],
            [
             0.1,
             "rgb(178,24,43)"
            ],
            [
             0.2,
             "rgb(214,96,77)"
            ],
            [
             0.3,
             "rgb(244,165,130)"
            ],
            [
             0.4,
             "rgb(253,219,199)"
            ],
            [
             0.5,
             "rgb(247,247,247)"
            ],
            [
             0.6,
             "rgb(209,229,240)"
            ],
            [
             0.7,
             "rgb(146,197,222)"
            ],
            [
             0.8,
             "rgb(67,147,195)"
            ],
            [
             0.9,
             "rgb(33,102,172)"
            ],
            [
             1,
             "rgb(5,48,97)"
            ]
           ],
           "sequential": [
            [
             0,
             "#440154"
            ],
            [
             0.1111111111111111,
             "#482878"
            ],
            [
             0.2222222222222222,
             "#3e4989"
            ],
            [
             0.3333333333333333,
             "#31688e"
            ],
            [
             0.4444444444444444,
             "#26828e"
            ],
            [
             0.5555555555555556,
             "#1f9e89"
            ],
            [
             0.6666666666666666,
             "#35b779"
            ],
            [
             0.7777777777777778,
             "#6ece58"
            ],
            [
             0.8888888888888888,
             "#b5de2b"
            ],
            [
             1,
             "#fde725"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#440154"
            ],
            [
             0.1111111111111111,
             "#482878"
            ],
            [
             0.2222222222222222,
             "#3e4989"
            ],
            [
             0.3333333333333333,
             "#31688e"
            ],
            [
             0.4444444444444444,
             "#26828e"
            ],
            [
             0.5555555555555556,
             "#1f9e89"
            ],
            [
             0.6666666666666666,
             "#35b779"
            ],
            [
             0.7777777777777778,
             "#6ece58"
            ],
            [
             0.8888888888888888,
             "#b5de2b"
            ],
            [
             1,
             "#fde725"
            ]
           ]
          },
          "colorway": [
           "#1F77B4",
           "#FF7F0E",
           "#2CA02C",
           "#D62728",
           "#9467BD",
           "#8C564B",
           "#E377C2",
           "#7F7F7F",
           "#BCBD22",
           "#17BECF"
          ],
          "font": {
           "color": "rgb(36,36,36)"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "white",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "white",
          "polar": {
           "angularaxis": {
            "gridcolor": "rgb(232,232,232)",
            "linecolor": "rgb(36,36,36)",
            "showgrid": false,
            "showline": true,
            "ticks": "outside"
           },
           "bgcolor": "white",
           "radialaxis": {
            "gridcolor": "rgb(232,232,232)",
            "linecolor": "rgb(36,36,36)",
            "showgrid": false,
            "showline": true,
            "ticks": "outside"
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "white",
            "gridcolor": "rgb(232,232,232)",
            "gridwidth": 2,
            "linecolor": "rgb(36,36,36)",
            "showbackground": true,
            "showgrid": false,
            "showline": true,
            "ticks": "outside",
            "zeroline": false,
            "zerolinecolor": "rgb(36,36,36)"
           },
           "yaxis": {
            "backgroundcolor": "white",
            "gridcolor": "rgb(232,232,232)",
            "gridwidth": 2,
            "linecolor": "rgb(36,36,36)",
            "showbackground": true,
            "showgrid": false,
            "showline": true,
            "ticks": "outside",
            "zeroline": false,
            "zerolinecolor": "rgb(36,36,36)"
           },
           "zaxis": {
            "backgroundcolor": "white",
            "gridcolor": "rgb(232,232,232)",
            "gridwidth": 2,
            "linecolor": "rgb(36,36,36)",
            "showbackground": true,
            "showgrid": false,
            "showline": true,
            "ticks": "outside",
            "zeroline": false,
            "zerolinecolor": "rgb(36,36,36)"
           }
          },
          "shapedefaults": {
           "fillcolor": "black",
           "line": {
            "width": 0
           },
           "opacity": 0.3
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "rgb(232,232,232)",
            "linecolor": "rgb(36,36,36)",
            "showgrid": false,
            "showline": true,
            "ticks": "outside"
           },
           "baxis": {
            "gridcolor": "rgb(232,232,232)",
            "linecolor": "rgb(36,36,36)",
            "showgrid": false,
            "showline": true,
            "ticks": "outside"
           },
           "bgcolor": "white",
           "caxis": {
            "gridcolor": "rgb(232,232,232)",
            "linecolor": "rgb(36,36,36)",
            "showgrid": false,
            "showline": true,
            "ticks": "outside"
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "rgb(232,232,232)",
           "linecolor": "rgb(36,36,36)",
           "showgrid": false,
           "showline": true,
           "ticks": "outside",
           "title": {
            "standoff": 15
           },
           "zeroline": false,
           "zerolinecolor": "rgb(36,36,36)"
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "rgb(232,232,232)",
           "linecolor": "rgb(36,36,36)",
           "showgrid": false,
           "showline": true,
           "ticks": "outside",
           "title": {
            "standoff": 15
           },
           "zeroline": false,
           "zerolinecolor": "rgb(36,36,36)"
          }
         }
        },
        "width": 800,
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          0.7363
         ],
         "title": {
          "text": "x"
         }
        },
        "xaxis2": {
         "anchor": "y2",
         "domain": [
          0.7413,
          1
         ],
         "matches": "x2",
         "showline": false,
         "showticklabels": false,
         "ticks": ""
        },
        "xaxis3": {
         "anchor": "y3",
         "domain": [
          0,
          0.7363
         ],
         "matches": "x",
         "showticklabels": false
        },
        "xaxis4": {
         "anchor": "y4",
         "domain": [
          0.7413,
          1
         ],
         "matches": "x2",
         "showline": false,
         "showticklabels": false,
         "ticks": ""
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          0.7326
         ],
         "title": {
          "text": "y (km/s)"
         }
        },
        "yaxis2": {
         "anchor": "x2",
         "domain": [
          0,
          0.7326
         ],
         "matches": "y",
         "showticklabels": false
        },
        "yaxis3": {
         "anchor": "x3",
         "domain": [
          0.7426,
          1
         ],
         "matches": "y3",
         "showline": false,
         "showticklabels": false,
         "ticks": ""
        },
        "yaxis4": {
         "anchor": "x4",
         "domain": [
          0.7426,
          1
         ],
         "matches": "y3",
         "showline": false,
         "showticklabels": false,
         "ticks": ""
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.scatter(df, x=\"x\", y=\"y\", marginal_x=\"histogram\", marginal_y=\"histogram\",\n",
    "                trendline=\"ols\", height=800, width=800,\n",
    "                labels={\n",
    "                     \"x\": \"x\",\n",
    "                     \"y\": \"y (km/s)\",\n",
    "                     \"SrcID\": \"Source ID\"\n",
    "                 }, template=\"simple_white\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d8e8f602-5830-4456-8f45-6a61273b3480",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.write_html(\"plotlyScatter.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5f2ebacc-3c8d-4601-9331-8aee3350de1d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}