{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CellML Models for Human Cardiac Cross-bridge Modelling\n",
    "\n",
    "This notebook runs CellML versions of the Musgrave et al. (2025) human atrial cross-bridge model. The models can be run in OpenCOR directly, but only in isometric mode. For non-diabetic and diabetic models, these basic simulations are run here, as well as work-loop simulations (which use different modes of the model).\n",
    "\n",
    "\n",
    "## Getting set up\n",
    "\n",
    "A general introduction to Jupyter notebooks with OpenCOR can be found here: https://models.physiomeproject.org/e/afd.\n",
    "To use the OpenCOR+Python to run Jupyter notebooks (on Windows), you will need to have *Write* permission to the OpenCOR installation folder. This is generally not the case when using the installer, so grab the \"ZIP file\" version of OpenCOR from the [downloads page](https://opencor.ws/downloads/index.html). And then unzip that to somewhere that you have write permission.  \n",
    "    \n",
    "## Launching the JupyterNotebook\n",
    "\n",
    "Once you are all set up, find the location of \"jupyternotebook.bat\" in your OpenCOR directory. Copy this path and then launch a JupyterNotebook instance by running the path in a Windows command prompt, from the directory where this `.ipynb` file (and its associated cellml/sedml files) is located. E.g.\n",
    "\n",
    "    \"C:\\Users\\username\\Documents\\AtrialModel_2025_Human> \"C:\\Program Files\\OpenCOR\\jupyternotebook.bat\"\n",
    "    \n",
    "Once this is running, your default browser should pop up and display the root Jupyter page. From here you can launch the interactive version of this notebook!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import opencor as opencor # module info available at https://opencor.ws/user/pythonSupport.html\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Base CellML code - isometric twitches\n",
    "\n",
    "This first section just runs the CellML code presented using a basic sedML file - this is an isometric muscle simulation with a baseline parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8fX3p06cPAwYMYP369ezatYtevXpRt27dFB0aypcvz8KFCwGzMfIbb7zBRx99xJIlS9i3bx/PPvssgYGBtG/f3hFfZraXfN3sZs2aOS4QoEKFCmzcuNG63OLBgwepV68eISEhDo1LREREsi6HJryTJk0iLCyMhg0bUrhwYes2e/Zs6zmff/45bdq04cknn+TRRx8lICCABQsWpLjO4cOHrR0eAN5++21effVVXnjhBR588EEiIiJYsWKF2p5kwPXr19m9ezcAlSpVomDBgg6OCMqVK8dvv/1G8eLFAQgJCaFu3brWpQ1FRESyAovFwqJFi+76/OHDh1OtWjW7xNKzZ88cPfDn8JKGtLbky+55eXkxceJErly5QmRkJAsWLEhVi3vraywWCx9++CGhoaHcvHmTNWvWUK5cuUz6qpzL1q1biY+PB+DRRx91cDRJSpUqxebNm6lYsSJg9nBu2LBhivILERERe+jZsycWiwWLxYK7uzv+/v40a9aMqVOnplhe+Pz585leCnjy5EksFgvBwcEpjv/vf/9j2rRpmRpLVpIlJq1J1rVx40brflZKeAGKFi3Kpk2bqF+/PgCRkZG0bduWH374wcGRiYiIs2vZsiXnz5/n5MmT/PrrrzRq1IjXX3+dNm3aWPvWBwQE4Onp6eBITb6+vqnavOYkSnjljrZs2WLdz2oJL0D+/PlZtWoVTz75JABxcXH07NmTIUOGpPgtW0RExJY8PT0JCAigSJEi1KhRg8GDB7N48WJ+/fVX60jqrSUN77zzDuXKlSNXrlyUKlWKIUOGEBsbm+raX3/9NUFBQeTKlYunn346RdkmwLfffssDDzyAl5cX5cuX56uvvrI+l9gAoHr16lgsFho2bAikLmlISEhg7NixlClTBk9PT4oVK8bIkSNt85eTBSnhlduKi4uz1sUWL16cwoULOziitHl5eTF79mz69etnPfbRRx/x1FNPWdupiYiI2Fvjxo2pWrVqqrlGiXx8fJg2bRoHDx7kf//7H1OmTOHzzz9Pcc6xY8eYM2cOv/zyCytWrGDPnj28/PLL1ud//vlnhg4dysiRIzl06BCjRo1iyJAh1k83//jjDwDWrFnD+fPnbxvLoEGDGDNmDEOGDOHgwYPMmDEj1aJdzsTN0QFI1nXo0CGioqIAMn2xifRydXVlwoQJlC5dmjfffJOEhAQWLlzIww8/zJIlSyhRooSjQxQRkf9SqxY4otVkQADYaOJz+fLl2bt3b5rPvf/++9b9EiVK8OabbzJr1izefvtt6/GbN28yffp0azeiCRMm8Nhjj/HZZ58REBDAsGHD+Oyzz3jiiScAc0T34MGDfP311/To0cPar/6+++677foD169f53//+x9ffvklPXr0AKB06dLUq1fv3v8CsiglvHJbO3bssO7Xrl3bgZHcHYvFQv/+/XnggQfo3LkzYWFh7Nu3jwcffJD58+dnyZIMERFJJjQU/v7b0VHcE8MwsFgsaT43e/Zsxo8fT0hICBEREcTFxaVa7KpYsWLWZBegbt26JCQkcPjwYXx8fAgJCaFPnz48//zz1nPi4uLw9fW96xgPHTpEdHQ0TZo0SedXl30p4ZXbSvxYBLL+CG9yLVu25Pfff6dt27YcPXqUS5cu0aRJE8aPH0/fvn0dHZ6IiNzObUYks9N9Dx06lGohLYBt27bRrVs3PvjgA1q0aIGvry+zZs3is88+u+trJ5bpTZkyhTp16qR4ztXV9a6v4+3tfdfnOgslvHJbiSO8FouFmjVrOjia9Ln//vv5/fff6dy5M6tWrSIuLo6XX36Z4OBgJkyYgIeHh6NDFBGRW2Xzfurr1q1j37599O/fP9VzW7dupXjx4rz33nvWY6dOnUp13unTpzl37hyBgYEAbN++HRcXF+6//378/f0JDAzk+PHjdOvWLc0YEn++JbYUTUvZsmXx9vZm7dq1PPfcc+n6GrMrJbySpri4OA4cOACYCz34+Pg4OKL0y58/P8uWLePdd9+1/gb9zTffcODAAebPn+/UxfkiImJf0dHRhIaGEh8fz4ULF1ixYgWjR4+mTZs2PPvss6nOL1u2LKdPn2bWrFk8+OCDLFu2zLpKbHJeXl706NGDTz/9lPDwcF577TWefvppaz3uBx98wGuvvYavry8tW7YkOjqanTt3cvXqVQYMGEChQoXw9vZmxYoVFC1aFC8vr1TlDl5eXrzzzju8/fbbeHh48Mgjj/DPP/9w4MAB+vTpY5+/MAdTlwZJ07Fjx4iOjgagcuXKDo4m49zc3Pj000/58ccfrb0Qt2zZQq1atbQym4iIZNiKFSsoXLgwJUqUoGXLlqxfv57x48ezePHiNMsLHn/8cfr3788rr7xCtWrV2Lp1K0OGDEl1XpkyZXjiiSdo3bo1zZs3p0qVKinajj333HN8++23fP/991SuXJkGDRowbdo0axmFm5sb48eP5+uvvyYwMJB27dqlGf+QIUMYOHAgQ4cO5YEHHqBTp05cvHjRRn87WY/FMAzD0UFkNeHh4fj6+hIWFpaqmDynmDt3Lk8//TRg/jY5dOhQB0d073bs2EGHDh34+98JEV5eXnz77be3/VhIRETs5+bNm5w4cYKSJUvi5eXl6HAki7rTv5P05Gsa4ZU07du3z7pfqVIlB0ZiOw8++CA7d+7k4YcfBsxvomeeeYa33nrrjrVOIiIikr0p4ZU07d+/37qfnUsabhUQEMC6detSFOl/+umnPPbYY1y9etWBkYmIiIi9KOGVNCWO8Hp7e1OqVCkHR2Nbnp6efPPNN0ycOBE3N3Pe5sqVK6lduzaHDx92cHQiIiJia0p4JZXIyEhCQkIAqFixYrp6+2UXFouFl19+mTVr1lCwYEHAnKj38MMPs23bNgdHJyIiIrakhFdSOXjwIIlzGZ2lfvd2GjRowM6dO6lSpQoAV65coXHjxixatMixgYmIiIjNKOGVVJy1fvd2ihcvzqZNm6xLLN68eZMnn3wyRRsYERGxDzWLkjux1b8PJbySSuKCE+D8I7yJ8ubNy/Lly60tyhISEujXrx+DBw/Wf8YiInbg7u4OQFRUlIMjkaws8d9H4r+XjNJKa5LKkSNHrPvly5d3YCSZy8PDg+nTp1O0aFE+/vhjAEaPHk1oaCjffPONdYKbiIjcO1dXV/Lly2dd7CBXrlxYLBYHRyVZhWEYREVFcfHiRfLly3fP84n0E1xSOXbsGGAuzFC0aFEHR5O5XFxcGDNmDEFBQbz66qsYhsH3339PWFgYM2bMsK7WJiIi9y5xuVxnXuFL7k2+fPms/07uhVZaS0NOXmktPj6eXLlyERMTQ8WKFVPU8+Y08+bNo2vXrsTGxgLQrFkzFi5cSO7cuR0cmYiIc4mPj7f+XyuSyN3d/Y4ju+nJ1zTCKymcOXOGmJgYwFzPOyd76qmn8PHxoUOHDty4cYPVq1fTvHlzli5dSv78+R0dnoiI03B1dXXKFpiSdWjSmqRw9OhR637ZsmUdGEnW0KJFC1avXo2vry8AW7dupWHDhly4cMHBkYmIiMjdUsIrKSjhTe2RRx5hw4YN+Pn5AbB3717q16/PqVOnHByZiIiI3A0lvJJC4oQ1UMKbXLVq1di8eTNBQUGA+YtBvXr1+OuvvxwcmYiIiPwXJbySgkZ4b69cuXJs3ryZcuXKAXD27FkeffRR9u3b5+DIRERE5E6U8EoKiQmvt7c3gYGBDo4m6ylWrBibNm2iWrVqAPzzzz80atSI4OBgh8YlIiIit6eEV6zi4uI4fvw4AKVLl8bFRf880lKoUCHWr19P7dq1Abh8+TKNGzdm165dDo5MRERE0qKMRqzOnDlj7YOocoY7y5cvH6tWraJu3boAXL16lSZNmvD77787ODIRERG5lRJesQoJCbHu5/QevHfD19eXlStXUr9+fQDCwsJo1qwZW7ZscXBkIiIikpwSXrFK3marRIkSjgskG/Hx8eHXX3+lUaNGAFy/fp0WLVrw22+/OTgyERERSaSEV6ySJ7zFixd3YCTZS+7cuVm6dCnNmzcHIDIykpYtW7J27VoHRyYiIiLg4IT3t99+o23btgQGBmKxWFi0aFGK5y0WS5rbJ598cttrDh8+PNX55cuXt/NX4hyU8GZcrly5WLx4Ma1btwbgxo0btGnThtWrVzs4MhEREXFowhsZGUnVqlWZOHFims+fP38+xTZ16lQsFgtPPvnkHa9bsWLFFK/bvHmzPcJ3Okp4742XlxcLFizg8ccfB+DmzZu0bduWlStXOjgyERGRnM3NkTdv1aoVrVq1uu3zAQEBKR4vXryYRo0aUapUqTte183NLdVr5b8lJrz58+fHx8fHwdFkT56ensydO5fOnTuzcOFCoqOjadeuHYsWLaJly5aODk9ERCRHyjY1vBcuXGDZsmX06dPnP889evQogYGBlCpVim7dunH69Ok7nh8dHU14eHiKLaeJj4/n7NmzgEZ375WHhwezZ8+2fhKRmPQuW7bMwZGJiIjkTNkm4f3hhx/w8fHhiSeeuON5derUYdq0aaxYsYJJkyZx4sQJ6tevz/Xr12/7mtGjR+Pr62vdgoKCbB1+lnfu3Dni4uIAJby24O7uzsyZM+nYsSMAMTExdOjQgV9++cXBkYmIiOQ82SbhnTp1Kt26dcPLy+uO57Vq1YqOHTtSpUoVWrRowfLly7l27Rpz5sy57WsGDRpEWFiYdTtz5oytw8/yVL9re+7u7syYMYNOnToBEBsby5NPPsnixYsdHJmIiEjOki0S3k2bNnH48GGee+65dL82X758lCtXjmPHjt32HE9PT/LmzZtiy2mU8NqHm5sbP/30E127dgXMpPepp55iwYIFDo5MREQk58gWCe93331HzZo1qVq1arpfGxERQUhICIULF7ZDZM5DCa/9uLm5MX36dJ555hkA4uLiePrpp5k3b56DIxMREckZHJrwRkREEBwcTHBwMAAnTpwgODg4xSSz8PBw5s6de9vR3SZNmvDll19aH7/55pts3LiRkydPsnXrVjp06ICrqytdunSx69eS3Z08edK6r4TX9lxdXZk2bRo9evQAzEmCnTt3vmOpjYiIiNiGQ9uS7dy507okK8CAAQMA6NGjB9OmTQNg1qxZGIZx24Q1JCSES5cuWR+fPXuWLl26cPnyZfz8/KhXrx7bt2/Hz8/Pfl+IE9AIr/25urry3Xff4eLiwvfff098fDxdu3YlISGBzp07Ozo8ERERp2UxDMNwdBBZTXh4OL6+voSFheWYet7y5ctz+PBhvL29iYyMxGKxODokp5WQkMCLL77It99+C4CLiwvTp0+nW7duDo5MREQk+0hPvpYtanjFvgzDsHamKFasmJJdO3NxceHrr7/mhRdeAMwE+Nlnn2X69OkOjkxERMQ5KeEVwsLCiIqKAqBo0aIOjiZncHFxYdKkSfTt2xcwk96ePXsyefJkB0cmIiLifJTwCufOnbPuBwYGOjCSnMXFxYWJEyfyyiuvAOZIe9++ffn4448dHJmIiIhzUcIr/P3339b9IkWKODCSnMdisTB+/Hjefvtt67F3332XwYMHo/J6ERER21DCK0p4HcxisfDxxx8zatQo67HRo0fz6quvkpCQ4MDIREREnIMSXkmR8KqkwXEGDRqUoqf0xIkT6dWrF3FxcQ6MSkREJPtTwispang1wutY/fr1Y/r06bi6ugIwffp0nn76aaKjox0cmYiISPalhFdU0pDFdO/enblz5+Lh4QHAwoULadu2LZGRkQ6OTEREJHtSwivWhNdisRAQEODgaASgQ4cOLF26lFy5cgGwevVqmjdvzrVr1xwbmIiISDakhFesJQ3+/v64uTl0tWlJplmzZqxatQpfX18Atm7dSqNGjbh48aKDIxMREclelPDmcHFxcYSGhgIqZ8iKHnnkEdavX4+fnx8AwcHBPProo5w9e9bBkYmIiGQfSnhzuAsXLlhbXynhzZqqV6/Ob7/9Zl0F7/Dhw9SrV49jx445ODIREZHsQQlvDqcJa9lD+fLl2bx5M2XKlAHg1KlT1K9fn3379jk4MhERkaxPCW8Op2WFs4/ixYuzadMmKlWqBEBoaCgNGjTgjz/+cHBkIiIiWZsS3hxOI7zZS0BAABs3bqR27doAXL16lSZNmrBx40YHRyYiIpJ1KeHN4ZTwZj8FChRgzZo1NGzYEICIiAhatmzJihUrHBuYiIhIFqWEN4dTSUP25OPjw/Lly2ndujUAN2/e5PHHH2f+/PkOjkxERCTrUcKbwyW2JAMoXLiwAyOR9PL29mbhwoV07NgRgNjYWJ5++ml+/PFHB0cmIiKStSjhzeEuXLgAgLu7O/nz53dwNJJeHh4ezJgxgx49egCQkJDAs88+y6RJkxwcmYiISNZxzwlvdHS0LeIQB0kc4S1UqBAuLvr9Jztyc3Nj6tSp9OvXz3rs5Zdf5pNPPnFgVCIiIllHujOcX3/9lR49elCqVCnc3d3JlSsXefPmpUGDBowcOTJFTahkbfHx8dZlagMCAhwcjdwLFxcXJkyYwLvvvms99vbbbzN06FAMw3BgZCIiIo531wnvwoULKVeuHL1798bNzY133nmHBQsWsHLlSr799lsaNGjAmjVrKFWqFC+99BL//POPPeMWG7h06ZJ1lTUlvNmfxWJh9OjRjBw50npsxIgRDBw4UEmviIjkaG53e+LYsWP5/PPPadWqVZoffT/99NOA2eZqwoQJ/PTTT/Tv3992kYrNJdbvghJeZzJ48GDy5MnD66+/DsDnn39OREQEkydPVtmKiIjkSHed8G7btu2uzitSpAhjxozJcECSeZJ3aFDC61xee+018uTJw3PPPYdhGEyZMgVXV1e++uorLBaLo8MTERHJVBruycGSJ7z+/v4OjETsoXfv3sycORNXV1cAJk+ezIABA1TeICIiOc5dj/De6uzZsyxZsoTTp08TExOT4rlx48bdc2BifxrhdX6dOnUiPj6eZ555BsMw+OKLL/Dy8mLUqFEa6RURkRwjQwnv2rVrefzxxylVqhR//fUXlSpV4uTJkxiGQY0aNWwdo9iJanhzhq5duxIdHU3v3r0BGDNmDN7e3gwdOtTBkYmIiGSODJU0DBo0iDfffJN9+/bh5eXF/PnzOXPmDA0aNLCu+iRZn0Z4c45evXoxceJE6+Nhw4YxefJkB0YkIiKSeTKU8B46dIhnn30WMJve37hxgzx58vDhhx/y8ccf2zRAsR8lvDnLyy+/zKeffmp93K9fPxYtWuS4gERERDJJhhLe3LlzW+t2CxcuTEhIiPW5S5cu2SYysbvEhNfb25s8efI4OBrJDAMHDuStt94CzGWIu3TpwtatWx0clYiIiH1lKOF96KGH2Lx5MwCtW7dm4MCBjBw5kt69e/PQQw/ZNECxn8Qa3oCAAE1gykHGjBlDt27dALh58yZt27blr7/+cnBUIiIi9pOhhHfcuHHUqVMHgA8++IAmTZowe/ZsSpQowXfffXfX1/ntt99o27YtgYGBWCyWVB+v9uzZE4vFkmJr2bLlf1534sSJlChRAi8vL+rUqcMff/yRrq8vJ4iJieHy5cuAyhlyGhcXF6ZOnUrTpk0BuHLlCi1btrQuMy0iIuJs0p3whoeHExISwpkzZ/jnn3/InTs3kydPZu/evcyfP5/ixYvf9bUiIyOpWrVqisk0t2rZsiXnz5+3bjNnzrzjNWfPns2AAQMYNmwYu3fvpmrVqrRo0UI/zG+R/O9DCW/O4+Hhwfz586lWrRoAp06dokOHDty8edOxgYmIiNhBuhLe4OBgypcvT8uWLWnbti1lypRh5cqVGb55q1at+Oijj+jQocNtz/H09CQgIMC65c+f/47XHDduHM8//zy9evWiQoUKTJ48mVy5cjF16tQMx+mMkrck06ITOVPevHlZtmwZRYoUAWDr1q288MILWphCREScTroS3nfeeYeSJUuyefNmdu3aRZMmTXjllVfsFRsAGzZsoFChQtx///307dvX+jF8WmJiYti1a5f1o1owP75t2rTpHZdGjo6OJjw8PMXm7LTKmgAEBgayZMkSvL29Afjxxx+1NLiIiDiddCW8u3btYsKECdStW5fq1aszdepUQkJC7JYgtmzZkunTp7N27Vo+/vhjNm7cSKtWrYiPj0/z/EuXLhEfH58qgfP390+R4N1q9OjR+Pr6WregoCCbfh1ZUfKSBiW8OVuNGjX46aefrI8HDx7MggULHBiRiIiIbaUr4b1y5QpFixa1Ps6XLx+5c+e+46jrvejcuTOPP/44lStXpn379ixdupQdO3awYcMGm95n0KBBhIWFWbczZ87Y9PpZ0T///GPdL1SokAMjkazgiSeeYOTIkdbH3bt3Z/fu3Q6MSERExHbSvbTwwYMHU4yWGobBoUOHuH79uvVYlSpVbBPdLUqVKkXBggU5duwYTZo0SfV8wYIFcXV1TVGfCma96p0mZnl6euLp6WnzeLOy5CO8fn5+DoxEsopBgwZx6NAhfvrpJ6Kionj88cfZsWMHhQsXdnRoIiIi9yTdCW+TJk1STWpp06YNFosFwzCwWCy3LTm4V2fPnuXy5cu3/QHs4eFBzZo1Wbt2Le3btwfM5vpr1661e61xdpN8hFcJrwBYLBamTJnC8ePH2bp1K3///TdPPvkk69evz3G/EIqIiHNJV8J74sQJm948IiKCY8eOpbh+cHAwBQoUoECBAnzwwQc8+eSTBAQEEBISwttvv02ZMmVo0aKF9TVNmjShQ4cO1oR2wIAB9OjRg1q1alG7dm2++OILIiMj6dWrl01jz+6Sj/CqpEESeXl5sWDBAh588EHOnDnDtm3b6Nu3L999950WJxERkWwrXQlvYo/d2NhY3N3d0zwnPUsL79y5k0aNGlkfDxgwAIAePXowadIk9u7dyw8//MC1a9cIDAykefPmjBgxIsVoU0hISIp7durUiX/++YehQ4cSGhpKtWrVWLFihSZm3SJxhNfV1fU/W71JzuLv78+iRYuoV68eN27c4Pvvv6datWq89tprjg5NREQkQyxGBppuPvnkk8ybNy/ViM+FCxdo0qQJ+/fvt1mAjhAeHo6vry9hYWHkzZvX0eHYRfHixTl9+jSFChVKVfMsAuYiLp07dwbMX4xWrlyZZu28iIiII6QnX8vQ0sKnT5/mueeeS3Hs/PnzNGzYkPLly2fkkpKJDMOwljSonEFup1OnTgwaNAiA+Ph4OnbsSEhIiIOjEhERSb8MJbzLly9n69at1hKEc+fO0bBhQypXrsycOXNsGqDYXmRkpHUJWU1YkzsZMWIEjz32GABXr16lXbt2KTqyiIiIZAcZSnj9/PxYtWoV8+fPZ8CAATRs2JDq1aszc+ZMXFwydEnJRJqwJnfL1dWVn3/+2frJzYEDB+jevTsJCQkOjkxEROTuZTg7DQoKYvXq1fz888/Url2bmTNn4urqasvYxE7UkkzSw9fXlyVLlpAvXz4AFi9ezPDhwx0ak4iISHrcdZeG/Pnzp9mWKCoqil9++YX77rvPeuzKlSu2iU7sQgmvpFfZsmWZPXs2rVq1IiEhgREjRlC5cmU6duzo6NBERET+010nvF988YUdw5DMpJIGyYjmzZvzySefMHDgQAB69uxJ2bJlqVatmmMDExER+Q93nfD26NHDnnFIJtIIr2RU//79CQ4O5scffyQqKor27duzY8cO/TsSEZEs7a5reCMjI9N14fSeL5lHI7ySURaLhW+++YbatWsDcOrUKTp27EhsbKyDIxMREbm9u054y5Qpw5gxYzh//vxtzzEMg9WrV9OqVSvGjx9vkwDF9jTCK/fCy8uLhQsXUrhwYQA2btzI66+/7uCoREREbu+uSxo2bNjA4MGDGT58OFWrVqVWrVoEBgbi5eXF1atXOXjwINu2bcPNzY1Bgwbx4osv2jNuuQdKeOVeBQYGsnDhQh599FFiYmKYNGkSVatW1fe9iIhkSeleWvj06dPMnTuXTZs2cerUKW7cuEHBggWpXr06LVq0oFWrVtm+PZmzLy1cs2ZNdu/ejaurKzExMeqdLBn2ww8/0LNnTwDc3NxYt24d9evXd2xQIiKSI6QnX0t3wpsTOHvCW6xYMc6cOYO/vz+hoaGODkeyuQEDBvD5558D5icGO3bsoHjx4g6OSkREnF168jUN7eUwhmFYJ62pnEFsYezYsTRr1gwwy2Xat2+vSasiIpKlKOHNYSIiIoiOjgbUoUFsw83NjdmzZ1OmTBkAgoOD6dWrF/rwSEREsgolvDmMJqyJPeTPn5/Fixfj4+MDwNy5cxk1apSDoxIRETEp4c1h1INX7KVChQr8/PPP1iXI33//fZYsWeLgqERERJTw5jga4RV7atu2LR999JH18TPPPMPBgwcdGJGIiEgGE94VK1awefNm6+OJEydSrVo1unbtytWrV20WnNhe8hFeJbxiD4MGDaJTp04AXL9+nccff5wrV644OCoREcnJMpTwvvXWW4SHhwOwb98+Bg4cSOvWrTlx4gQDBgywaYBiW8lHeFXSIPZgsViYOnUq1atXByAkJIROnToRFxfn4MhERCSnylDCe+LECSpUqADA/PnzadOmDaNGjWLixIn8+uuvNg1QbEslDZIZcuXKxaJFi6z/xtasWcPbb7/t4KhERCSnylDC6+HhQVRUFGD+IGvevDkABQoUsI78StakkgbJLMWKFWP+/Pm4u7sD8Pnnn/PDDz84OCoREcmJMpTw1qtXjwEDBjBixAj++OMPHnvsMQCOHDlC0aJFbRqg2JZKGiQz1a9fny+//NL6+IUXXmD79u0OjEhERHKiDCW8X375JW5ubsybN49JkyZRpEgRAH799Vdatmxp0wDFthJHeF1dXcmXL59jg5Ec4YUXXuDll18GICYmhqeeeooLFy44OCoREclJLIaWQ0olPWszZzdBQUGcPXuWgIAAzp8/7+hwJIeIjY2ladOm/PbbbwA0aNCANWvW4Obm5uDIREQku0pPvpahEd7du3ezb98+6+PFixfTvn17Bg8eTExMTEYuKZnAMAxrSYPqdyUzubu7M2fOHAIDAwHYuHEj77zzjoOjEhGRnCJDCe+LL77IkSNHADh+/DidO3cmV65czJ07VzOxs7Dr168THR0NKOGVzOfv78+8efOsk9jGjRvH7NmzHRyViIjkBBlKeI8cOUK1atUAmDt3Lo8++igzZsxg2rRpzJ8/35bxiQ2pJZk4Wt26dfniiy+sj/v06cP+/fsdF5CIiOQIGUp4DcMgISEBMNuStW7dGjDrQy9dumS76MSmlPBKVtC3b1969OgBQGRkJE888QRhYWEOjkpERJxZhhLeWrVq8dFHH/Hjjz+yceNGa1uyEydO4O/vb9MAxXaU8EpWYLFYmDRpknUltqNHj/Lss89af4kWERGxtQwlvF988QW7d+/mlVde4b333qNMmTIAzJs3j4cfftimAYrtKOGVrMLb25v58+eTP39+AJYsWcLo0aMdHJWIiDirDPUEqlKlSoouDYk++eQTXF1d7zkosY/k5SZKeMXRSpYsycyZM2nVqhWGYTBkyBBq1apFixYtHB2aiIg4mQyN8AJcu3aNb7/9lkGDBnHlyhUADh48mGLp2v/y22+/0bZtWwIDA7FYLCxatMj6XGxsLO+88w6VK1cmd+7cBAYG8uyzz3Lu3Lk7XnP48OFYLJYUW/ny5TP0NTobjfBKVtOiRQtGjBgBmHMDunTpwokTJxwclYiIOJsMJbx79+6lbNmyfPzxx3z66adcu3YNgAULFjBo0KC7vk5kZCRVq1Zl4sSJqZ6Liopi9+7dDBkyhN27d7NgwQIOHz7M448//p/XrVixIufPn7dumzdvvuuYnFnyhLdgwYIOjEQkyaBBg6zf11evXuWJJ57gxo0bDo5KREScSYZKGgYMGECvXr0YO3YsPj4+1uOtW7ema9eud32dVq1a0apVqzSf8/X1ZfXq1SmOffnll9SuXZvTp09TrFix217Xzc2NgICAu44jp9AIr2RFLi4uTJ8+nQcffJCjR48SHBxM3759+f7777FYLI4OT0REnECGRnh37NjBiy++mOp4kSJFCA0NveegbicsLAyLxUK+fPnueN7Ro0cJDAykVKlSdOvWjdOnT9/x/OjoaMLDw1NsziixhtdisXDfffc5OBqRJL6+vixYsIBcuXIB8MMPPzB58mQHRyUiIs4iQwmvp6dnmknhkSNH7DZyePPmTd555x26dOlyx/WS69Spw7Rp01ixYgWTJk3ixIkT1K9fn+vXr9/2NaNHj8bX19e6BQUF2eNLcLjEEd4CBQpocqFkOZUqVWLq1KnWx6+//jrbtm1zYEQiIuIsLIZhGOl90XPPPcfly5eZM2cOBQoUYO/evbi6utK+fXseffTRFCsp3XUgFgsLFy6kffv2qZ6LjY3lySef5OzZs2zYsOGOCe+trl27RvHixRk3bhx9+vRJ85zo6GjrkrsA4eHhBAUFERYWlq57ZXU+Pj5ERERQvnx5Dh065OhwMkdMDBw8CHv3wtmzcO4cRERAXJy5eXtDvnzmFhQEpUqZW5EioF8KHGLgwIGMGzcOgMDAQHbt2qUSJRERSSU8PBxfX9+7ytcyVMP72Wef8dRTT1GoUCFu3LhBgwYNCA0NpW7duowcOTJDQd9ObGwsTz/9NKdOnWLdunXpTkDz5ctHuXLlOHbs2G3P8fT0xNPT815DzdJu3rxJREQEkAPqd48cgYUL4ddfYetWiI1N/zVy5YJq1aBGDXOrXRsqVADVlNrdxx9/zK5du9i4cSPnzp2jU6dOrFmzBnd3d0eHJiIi2VSGEt7ECWVbtmzhzz//JCIigho1atC0aVObBpeY7B49epT169dnqO40IiKCkJAQunfvbtPYshun79AQHw/z5sHkybBhw71fLyrKTJa3bk06VrAgNGyYtCkBtgs3Nzdmz55NzZo1+fvvv/ntt994++23+fzzzx0dmoiIZFPpTnhjY2Px9vYmODiYRx55hEceeSTDN4+IiEgx8nrixAmCg4MpUKAAhQsX5qmnnmL37t0sXbqU+Ph464S4AgUK4OHhAUCTJk3o0KEDr7zyCgBvvvkmbdu2pXjx4pw7d45hw4bh6upKly5dMhynM3DaRScMAxYtgvffN0sXblW6NNStC1WrmvuBgeDrC+7uZslCVBSEhcGlS3DqFBw/bm779pl/JnfpkplUz5tnPg4KgjZtzK1xY/DysvuXm1P4+/szb948Hn30UWJjY/niiy+oXbt2jv8+FhGRjEl3wuvu7k6xYsWIj4+/55vv3LmTRo0aWR8PGDAAgB49ejB8+HCWLFkCQLVq1VK8bv369TRs2BCAkJCQFMnc2bNn6dKlC5cvX8bPz4969eqxfft250ryMsApW5KdOQPPPw8rV6Y8fv/98Nxz0K4dlC2b8etfvQp79sDOnbB5M/z2m5kcJ7//pEnmlisXNG0KTz0F7dtDsnZ9kjEPPfQQ48ePp2/fvoA5d6BSpUpUrlzZwZGJiEh2k6FJa9999x0LFizgxx9/pECBAvaIy6HSUwSdXfz8888888wzAHzxxRe8/vrrDo7oHv34I7zyCiTvFlK3LowYYY622qPUID4e/vzTLJlYtQrWrzcnxd3KywvatoWuXaFVK3Dy+nB7MgyD3r17M23aNADKlCnDjh07/rM1oYiIOL/05GsZakv25Zdf8ttvvxEYGMj9999PjRo1UmyS9TjNCG9cHLzxBjz7bFKyW6SIOUltyxZo0sR+dbWuruYEtgEDYMUKuHwZFiyAXr2gUKGk827ehLlzoUMH8PeHvn3NkWJJN4vFwldffWX9f+XYsWN0796dhIQEB0cmIiLZSYYmrbVr104rIGUzTjFpLSICnnzSHF1N1LMnfP652VYss+XJYya1HTpAQoKZcM+caSa7iWU2YWHmRLrJk6FWLXjhBejcWSUP6eDt7c38+fOpWbMmV65cYenSpYwcOZIhQ4Y4OjQREckmMlTS4OycsaThxRdf5JtvvgFg9+7dVK9e3cERpdP169C6tVlLC+DmBhMnmglkVhMbC2vXwowZ5ghwZGTK5/Pkge7dzZHqcuUcEmJ2tGrVKlq2bIlhGFgsFpYtW3bbpclFRMT52b2koVSpUly+fDnV8WvXrlGqVKmMXFLsLFuXNFy/Di1aJCW7vr5mQpkVk10wO0C0bAnTp8P58/D111CzZtLzERHmRLf77zc7PKxbZ3abkDtq3rw5H330EWDW9nbr1o3jt3bSEBERSUOGEt6TJ0+m2aUhOjqas2fP3nNQYnvZNuGNjYWOHSFxidn8+c0E8dFHHRvX3fLxMRPznTvN7cUXIXfupOeXLTPrjqtVg2nT0p4EJ1bvvvsu7dq1A+Dq1as88cQTREVFOTgqERHJ6tJV0pDYJqx9+/b88MMP+Pr6Wp+Lj49n7dq1rF69msOHD9s+0kzkjCUN5cuX5/Dhw/j4+BCevLNBVmYY8NJL8G8phjXZvaVNXbZz7Rp8+y2MH2+2NksuKAjeestsq+bt7ZDwsrqwsDBq167NkSNHAOjWrRs//vij5hWIiOQw6cnX0pXwuriYA8IWi4VbX+bu7k6JEiX47LPPaNOmTQbCzjqcMeG97777uHLlCiVLlsw+HwOPGwcDB5r7Hh6wenX2Gdm9G3FxMH++Oenu999TPleokPm19+2rCW5pOHjwILVr1yby3/roESNG8P777zs4KhERyUx2q+FNSEggISGBYsWKcfHiRevjhIQEoqOjOXz4cLZPdp1RXFwcV69eBbJROcO2bfD220mPv//euZJdMCfedeoE27ebHR6Sf+9cvAjvvAPFi8Pw4XDlisPCzIoqVKjAjz/+aH08ZMgQZs+e7cCIREQkK8tQDe+JEyeyb2urHOjKlSvWEflskfBeuWK27kqsEx80yFzEwZk9/DD88gsEB8PTTyf1Er56FT74AEqUgGHDUq70lsN16NCBMWPGWB/36NGD7du3OzAiERHJqtKV8G7bto2lS5emODZ9+nRKlixJoUKFeOGFF4iOjrZpgHLvstWENcOA3r3h9Gnzcf368OGHjo0pM1WtCrNnw8GD0KOHudgFmJ0qPvwQSpaEMWNStzrLod5++2169+4NmJNm27Vrx8mTJx0blIiIZDnpSng//PBDDhw4YH28b98++vTpQ9OmTXn33Xf55ZdfGD16tM2DlHuTrRLemTNh8WJz/777zF62bhlaHyV7K1/e7Npw7JjZ2SHx7+DqVXPEu1Qp+N//zFXdcjCLxcKkSZNo1KgRABcvXqRNmzaEaSRcRESSSVfCGxwcTJMmTayPZ82aRZ06dZgyZQoDBgxg/PjxzJkzx+ZByr3JNgnvxYvw2mtJj6dMgaJFHRdPVlCihLlK2+HD5ojvvxNHuXjRXLiibFmzi0VsrCOjdCgPDw/mzZtHuX8X8Thw4ACdOnUiLi7OwZGJiEhWka6E9+rVq/j7+1sfb9y4McVKRw8++CBnbm2zJA53KXGZW7L4ssKvvQaJC5p07Ggu2SumUqXMEd/9+82/m0Rnz5ojwJUqwcKFOXYBiwIFCrB06VIKFCgAwMqVK+nXr1+qbjIiIpIzpSvh9ff358SJEwDExMSwe/duHnroIevz169fx93d3bYRyj3LFiO8K1eatasABQrAhAmOjSereuABmDMH9uxJ2dXhyBF44gmoVw+2bnVcfA5UtmxZFi5caP0/6JtvvmHEiBEOjkpERLKCdCW8rVu35t1332XTpk0MGjSIXLlyUb9+fevze/fupXTp0jYPUu5Nlk94Y2Ohf/+kx+PGQbJPEiQN1aqZXR22bjWT3ERbt8Ijj8CTT5pJcA7z6KOPMn36dOvjYcOG8e233zowIhERyQrSlfCOGDECNzc3GjRowJQpU5gyZQoeHh7W56dOnUrz5s1tHqTcmyyf8E6eDIcOmfsPPQTduzs2nuykbl347Tdzol/58knHFyyAChWgXz+4cMFx8TlA586d+eyzz6yPX3rppVTdZUREJGdJ10pricLCwsiTJw+uiS2T/nXlyhXy5MmTIgnOjpxtpbUmTZqwbt06wPzafLLSyl2XL5sTr/5dGIPff4fatR0bU3YVFwdTp8LQoSmT3Dx5zEU8BgyA3LkdF18mGzBgAJ9//jkA3t7erFu3LkUJloiIZG92W2ktka+vb6pkF8yJI9k92XVGiZPWPDw8yJMnj4OjucXo0UnJbvfuSnbvhZsbvPCC2crsgw+SktuICDMJLlsWvv3WTIxzgE8//ZTOnTsDcOPGDdq0acPhw4cdHJWIiDhChhJeyV4SSxr8/PywJK7glRWcPw8TJ5r7Xl5m8iv3Lk8eM8E9dgz69k1avOL8eXj+eXNxi6VLnb6jg4uLC9OmTbP26L18+TItW7bk/PnzDo5MREQymxJeJ2cYhnWEN8vV744albRwQt++UKSIY+NxNgEB8NVXZiuz9u2Tjh88CG3bQuPGsHOnw8LLDJ6enixcuJAqVaoAcPLkSVq1asW1a9ccG5iIiGQqJbxOLiwsjNh/FyXIUgnv6dPmggkAuXLBu+86Nh5nVr682aN30yZzUmCiDRvgwQehSxf4t92gM/L19eXXX3+lePHiAPz555+0bduWqKgoB0cmIiKZRQmvk0u+6ESWSnhHj4aYGHP/tdegUCHHxpMTJPbonTsXkrcPnDXLTIoHDIArVxwXnx0FBgayatUq6/fA5s2b6dSpk/WXQRERcW533aVhyZIld33Rxx9/PMMBZQXO1KVh27ZtPPzwwwC89tpr/O9//3NwRJgdBIoXh+hos9705Em47z5HR5WzxMTA11/Dhx9Csl+KyJcPBg+GV18166qdzK5du2jUqBHXr18H4JlnnuGHH37AxUW/+4uIZDfpydfc7vai7ZPXAN6BxWIhPj7+bi8rdpYle/BOmGAmuwAvvaRk1xE8PMyk9tlnYexYc7GPmzfh2jWzhdmXX8LIkdC1KzhRMlizZk0WL15My5YtiYmJ4aeffqJgwYKMGzcua03oFBERm7rrn2QJCQl3tSnZzVqyXMIbEWFOpAKzjdbrrzs2npzO19dMbI8ehV69IDHpO33abBNXqxasXevYGG2sUaNGzJo1yzqq+8UXXzBaHUJERJya8wzdSJqyXML73XdJfXe7dYOiRR0bj5iKFjUXrQgOhpYtk47v2QNNm0KrVrBvn8PCs7UOHTowZcoU6+P33nuPr7/+2oERiYiIPd11ScOtIiMj2bhxI6dPnyYmcfLRv1577bV7Dkxs4+LFi9Z9hye8cXHw78pXALz5puNikbRVqQK//gpr1pilDXv2mMdXrICVK6FnT7Pu1wl+UenduzeXL1/m7bffBqBv374UKFCAjh07OjgyERGxtQwlvHv27KF169ZERUURGRlJgQIFuHTpErly5aJQoUJKeLOQC8mWmPX393dgJMCyZXDqlLnfqhVUquTYeOT2mjY1e/TOmAHvvWeWOBgGfP+92dWhf38zIfb1dXSk9+Stt97i0qVLjB07FsMw6NatG/ny5aNZs2aODk1ERGwoQyUN/fv3p23btly9ehVvb2+2b9/OqVOnqFmzJp9++qmtY5R7kHyE1+EJb+KqamBOmJKszcUFnnkGDh82J7YlJrc3bpiLhpQpY05AvOUTnuxmzJgx9OnTB4DY2Fg6dOjAH3/84eCoRETEljKU8AYHBzNw4EBcXFxwdXUlOjqaoKAgxo4dy+DBg20do9yDxBFeT09Px7ZYO3IEVq8290uVghYtHBeLpI+XF7z1FoSEmCO77u7m8UuXzB7KFSvCvHnZdqlii8XC5MmTrZ1oIiMjadWqFYcOHXJsYCIiYjMZSnjd3d2tM5wLFSrE6dOnAXNFozNnztz1dX777Tfatm1LYGAgFouFRYsWpXjeMAyGDh1K4cKF8fb2pmnTphw9evQ/rztx4kRKlCiBl5cXderUydGjNYkJr7+/v2PbLk2enLTft69TtbrKMe67z2xfdviwuTpbomPHoGNHePhh2LLFcfHdAzc3N2bOnEnDhg0BuHLlCs2aNeNUYgmOiIhkaxnKOqpXr86OHTsAaNCgAUOHDuXnn3/mjTfeoFI66jIjIyOpWrUqE5N/1J3M2LFjGT9+PJMnT+b3338nd+7ctGjRgps3b972mrNnz2bAgAEMGzaM3bt3U7VqVVq0aJHio/2cIj4+3rrSmkPLGaKizNpPAE9Ps/2VZF8lS5q1vX/8AQ0aJB3fvt1cze2JJ8ykOJvx8vJi8eLF1KhRA4C///6b5s2bp+h0IiIi2ZSRATt27DDWrVtnGIZhXLhwwWjRooXh4+Nj1KhRw9izZ09GLmkAxsKFC62PExISjICAAOOTTz6xHrt27Zrh6elpzJw587bXqV27ttGvXz/r4/j4eCMwMNAYPXr0XccSFhZmAEZYWFj6vogsJjQ01AAMwGjTpo3jApk+3TDMD7wNo0cPx8UhtpeQYBhLlxpGhQpJ7zEYhqurYfTtaxihoY6OMN0uXLhglCtXzvq9U7NmTSM8PNzRYYmIyC3Sk69laIS3Vq1aNGrUCDBLGlasWEF4eDi7du2iWrVqNknET5w4QWhoKE2bNrUe8/X1pU6dOmzbti3N18TExLBr164Ur3FxcaFp06a3fY0zS96hoVChQo4LJHF0F+CFFxwXh9iexQKPPQZ//glTpkDhwubx+HiYNMmc2DZypDnKn00UKlSIVatWUaRIEcBcjrh9+/Z3/GRJRESytgwlvI0bN+batWupjoeHh9O4ceN7jQmA0NBQIPVH8f7+/tbnbnXp0iXi4+PT9RqA6OhowsPDU2zOIEu0JDt5EtavN/fLloW6dR0Th9iXmxs895y5YtuHH0KePObxiAh4/324/36YPh0SEhwb510qXrw4q1atokCBAgCsW7eOrl27EhcX5+DIREQkIzKU8G7YsCHVYhMAN2/eZNOmTfccVGYbPXo0vr6+1i0oKMjRIdlElkh4p09P2u/ZM2npWnFOuXPDkCHmRLaXXgJXV/P42bPQowfUrAnr1jk2xrtUoUIFli9fTu7cuQFYuHAhL730EkY27UYhIpKTpSvh3bt3L3v37gXg4MGD1sd79+5lz549fPfdd9aPAe9VQEAAkDJpS3yc+NytChYsiKura7peAzBo0CDCwsKsW3o6TWRlDk94ExJg2jRz32KB7t0zPwZxDH9/s6Rh715o0ybpeHAwNGliHjt40GHh3a06deqwYMEC3P9txfbdd9+p9aKISDaUroS3WrVqVK9eHYvFQuPGjalWrZp1q1mzJh999BFDhw61SWAlS5YkICCAtWvXWo+Fh4fz+++/U/c2H4t7eHhQs2bNFK9JSEhg7dq1t30NJPWoTb45A4cnvJs3w4kT5n7TpuAkI+eSDhUqwC+/wNq1UL160vFly6ByZXMU+JZfULOa5s2b89NPP1nb+o0ZM0YL7IiIZDPpSnhPnDhBSEgIhmHwxx9/cOLECev2999/Ex4eTu/eve/6ehEREQQHBxMcHGy9fnBwMKdPn8ZisfDGG2/w0UcfsWTJEvbt28ezzz5LYGCgtUE8QJMmTfjyyy+tjwcMGMCUKVP44YcfOHToEH379iUyMpJeObAVlsNXWUsc3QW1IsvpGjc2lyqePh2KFjWPJSTA118nTWzLwpPCnn76ab766ivr47feeoupU6c6MCIREUkXu/eMuIP169dbW/8k33r827oqISHBGDJkiOHv7294enoaTZo0MQ4fPpziGsWLFzeGDRuW4tiECROMYsWKGR4eHkbt2rWN7du3pysuZ2lL1rJlS+vf6aVLlzL35pGRhpEnj9miKm9ew4iKytz7S9YVGWkYI0cm/ftI3EqWNIyFC81WZ1nURx99ZP2eslgsxowZMxwdkohIjpWefM1iGBmbgRESEsIXX3xhXX6zQoUKvP7665QuXfres3AHCw8Px9fXl7CwsGxd3lCjRg327NmDq6srMTEx1tXxMsXcufD00+b+c8+ZLatEkrtwAT74AL75xmxjlqhpU/jf/8xyiCzGMAzefPNNxo0bB4Crqytz586lQ4cODo5MRCTnSU++lqEMaOXKlVSoUIE//viDKlWqUKVKFX7//XcqVqzI6tWrMxS02F5iDW+hQoUyN9kFmD07ab9z58y9t2QP/v7w1VfmRLbk7QzXrIEqVaB/f0ij/aEjWSwWPv30U1566SXAXM2wU6dOLF++3MGRiYjInWRohLd69eq0aNGCMWPGpDj+7rvvsmrVKnbv3m2zAB3BGUZ4ExIS8PT0JC4ujmrVqrFnz57Mu/n161CokFmTWagQ/P232adV5HYMAxYuhAED4NSppON+fjBqlFkDntjiLAtISEigV69eTP+37Z6npyfLli2jSZMmDo5MRCTnsPsI76FDh+jTp0+q47179+ZgNmg1lBNcvXrV2iQ/0yesLVmSNAHpqaeU7Mp/s1jgiSfg0CFz4Qpvb/P4P//A889DnTqwdatjY0zGxcWF7777jqf/LduJjo7m8ccfZ/PmzQ6OTERE0pKhhNfPz8/aWSG54OBgxy5hK1YObUmWvJyhU6fMvbdkb97e5sIVf/2VVAMOsGsXPPKI2cv5/HnHxZeMm5sbP/30E+3atQMgKiqK1q1b58hlzEVEsrp0JbwffvghUVFRPP/887zwwgt8/PHHbNq0iU2bNjFmzBhefPFFnn/+eXvFKulwPllScKdFN2zu2jVYscLcDwyEevUy797iPIoVM39x2rDBrOdN9NNPUK4cfPoppLHaY2Zzd3dn9uzZNG/eHIDr16/TvHlzjfSKiGQx6Up4P/jgAyIiIhgyZAhDhw5lwoQJNGjQgAYNGvDll18yfPhw3n//fXvFKulw7tw5676tVr+7K4sWQWysud+xI2T2ZDlxLg0amKO7EydC/vzmsYgIeOstqFoVssAkWU9PTxYuXGit342IiKBFixZs2LDBsYGJiIhVurKRxPltFouF/v37c/bsWetyvGfPnuX111+3rkYkjvX3339b9wMDAzPvxipnEFtzc4OXX4YjR+DFF816XzDLHpo3hyefTDnRzQFy5crFL7/8QsuWLYGk8gZ1rRERyRrSPfx2a0Lr4+ODj4+PzQIS23DICG9YmLmELJgfST/0UObcV3KGggVh8mTYsSPlv60FC6B8eXOy240bDgvP29ubhQsX0qZNGwBu3LhB27Zt1bJMRCQLSHfCW65cOQoUKHDHTRwvecKbaSO8v/6aVM7Qvn3SSJyILdWsCVu2mEtXJ07IvHkThg0zF6tYvNhsc+YAXl5ezJ8/37oQRXR0NO3ateOnn35ySDwiImJKd7+oDz74AF9fX3vEIjaUvKShcOHCmXPTRYuS9tu3z5x7Ss7k4gI9epj/zj74AMaPN1drO3nSPNaihbla2/33Z3poHh4ezJ49m2eeeYY5c+YQFxdH9+7duXDhAgMHDsz0eEREJJ0LT7i4uBAaGur0rcecYeGJ4sWLc/r0afz8/Lh48aL9bxgdbS4ScP26Obno4kX135XMc+AAvPYarFuXdMzd3Vyt7f33wQFlV/Hx8bz66qtMmjTJeuzNN9/k448/zvyVD0VEnJDdFp7QhLTsISEhwVrSkGnlDBs2mMkuQJs2SnYlc1WsaC5JPHcuBAWZx2JjYexYs753xoxML3NwdXVl4sSJfPDBB9Zjn376Kd27d+eGA2uNRURyogx1aZCs7dKlS9ZV1jJtwtrixUn7/zbiF8lUFou5st+hQ/Dee+DhYR4/dw66dYOGDWHv3kwOycLQoUOZPHmydVR3xowZNGzYMEWvbBERsa90JbwJCQlOX87gDDJ9wlpCgrmcMICnp1k/KeIouXPDRx+ZZQ7/dkwA4LffoHp1ePVVuHo1U0N68cUXmT9/Prly5QLgjz/+oHbt2uzevTtT4xARyalUSOaEkk9Yy5QR3l27IPGeTZtCnjz2v6fIfylTBn75BZYuNffB/OXsyy/N1dq+/dZ8nEnat2/Pli1bCPq35OLs2bPUq1ePmTNnZloMIiI5lRJeJ5TpI7zJyxnUnUGymsceg/37YdQo+HeElUuX4PnnzX6+f/yRaaFUq1aNHTt2ULduXcDs1du1a1f69u3LzZs3My0OEZGcRgmvE8r0RScS25FZLNC2rf3vJ5Jenp4waJC5OlvyFQB37IA6daBPH7OzSCbw9/dn/fr19OzZ03ps8uTJ1K1bl2PHjmVKDCIiOY0SXieUqcsKh4SYtZIAdesmLQQgkhUFBcGsWWb7sooVk45PnWqWOYwfD/9O+LQnT09Ppk6dynfffYeXlxcAwcHB1KhRgxkzZtj9/iIiOY0SXieUqSO8y5Yl7T/+uH3vJWIrjRrBnj3wxReQ2LsxLAxef92c2LZhg91DsFgs9O7dmz/++IP7/10g4/r163Tr1o0uXbpwNZMn1omIODMlvE4ocYTXzc2NggUL2vdmK1Yk7bdubd97idiSu7uZ4B45Ar16JR3fv99MiDt3hrNn7R5G5cqV2blzJ927d7cemzVrFlWqVGHt2rV2v7+ISE6ghNcJnf33h3ThwoXtu6LTjRuwfr25X6QIVKpkv3uJ2Iu/v1nSsH071KqVdHz2bHNp4tGjzZUE7ShPnjxMnz6dWbNmkS9fPsD8Pm7atCkDBgzQhDYRkXukhNfJREZGcunSJcBcXtiuNm6ExB/ELVuak9ZEsqs6deD332HKFEj8ZCQqCgYPNn+ZW77c7iF06tSJffv20bhxY+uxzz//nFq1ahEcHGz3+4uIOCslvE7m9OnT1v0SJUrY92bJyxlatbLvvUQyg4sLPPecWebwyivmY4Bjx8z2Zo8/bk7UtKOiRYuyevVqxo0bh6enJwAHDhygdu3ajBw50rqKooiI3D0lvE7m5MmT1n27j/D++qv5p6urueCEiLPInx8mTIDdu6F+/aTjv/xidncYMsQc/bUTFxcX+vfvz86dO6lSpQoAsbGxvP/++zz88MMcOnTIbvcWEXFGSnidzKlTp6z7dk14jx83R8EAHn4YfH3tdy8RR6la1Szd+flnSGzxFx1tLl1cvjzMmweGYbfbV6pUiT/++IPBgwdb6/F37NhB9erVGTduHPHx8Xa7t4iIM1HC62QyLeFVOYPkFBYLdO1qLlrx9ttmdweAM2egY0fz042DB+12e09PT0aOHMnWrVspV64cANHR0QwcOJBGjRpx/Phxu91bRMRZKOF1MslLGuxaw5tYzgDmhDURZ+fjAx9/DPv2QfPmScfXrTNHggcMMHv52kmdOnXYs2cPb7zxhvXYpk2bqFKlCpMnT8aw40iziEh2p4TXySQf4S1WrJh9bnLzpvlDHiAgAKpVs899RLKi++83P+FYuBASf6mMi4PPPzef++EHSEiwy61z5crF559/zoYNGyhZsiRgdmbp27cvLVu25MyZM3a5r4hIdqeE18kkJrz+/v7WJUttbvPmpAk7akcmOZHFAu3bm6UMH3wAid9rFy5Az55Qr5454c1OGjRowJ9//smLL75oPbZq1SoqV67M9OnTNdorInILJbxO5ObNm5w/fx6wc/2uyhlETN7eMHQoHDoEHTokHd+2zVzE4qWX4PJlu9zax8eHyZMns2LFCusS4mFhYfTo0YMOHTpw4cIFu9xXRCQ7UsLrRI4fP24d2SlTpoz9bpSY8Lq4QLNm9ruPSHZRogQsWAArV5plDWB2b/j6ayhbFiZNAjt1VGjRogX79+/n2WeftR5bvHgxFStWZM6cORrtFREhGyS8JUqUwGKxpNr69euX5vnTpk1Lda7dPtrPYo4ktgkDypYta5+bnDpljmYBPPQQFChgn/uIZEfNm8PevfDJJ5Anj3ns6lV4+WVzxHfLFrvcNl++fPzwww8sXLiQQoUKAXD58mU6depE27Zt1clBRHK8LJ/w7tixg/Pnz1u31atXA9CxY8fbviZv3rwpXpN8IpczO3r0qHXfbglv8nZkKmcQSc3DA958Ew4fhmeeSToeHGzW9j77LPxbemRr7du3Z//+/Tz11FPWY8uWLaNixYqMGDGC6Ohou9xXRCSry/IJr5+fHwEBAdZt6dKllC5dmgYNGtz2NRaLJcVr/P39MzFix8mUhDd5/a7674rcXmAg/PgjbNpkti1L9OOPUK4cjBwJkZE2v62fnx9z5sxh7ty51tremzdvMnToUCpVqsTy5ctV5iAiOU6WT3iTi4mJ4aeffqJ3795Y7tAZICIiguLFixMUFES7du04cODAHa8bHR1NeHh4ii07snvCGxMDa9ea+35+UKOG7e8h4mzq1YNdu2DiRHPJYoCICHj/fbO+99tvzbZmNmSxWHjqqac4dOgQAwcOxNXVFYBjx47x2GOP0bRpU3bt2mXTe4qIZGXZKuFdtGgR165do2fPnrc95/7772fq1KksXryYn376iYSEBB5++GHOnj1729eMHj0aX19f6xYUFGSH6O0vMeEtWLAg+RN/sNrSli3mD2qAFi3MSWsi8t9cXc063iNH4MUXzcdgljY8/zxUqQJLlth8mWIfHx8+/fRT9uzZQ7169azH161bR61atejWrRshISE2vaeISFZkMbLRZ1stWrTAw8ODX3755a5fExsbywMPPECXLl0YMWJEmudER0enqG0LDw8nKCiIsLAw8ubNe89xZ4bIyEjy/DtJpm7dumzdutX2N3n7bXMyDsDPP5vLrYpI+v31FwwaBIsWpTxev775PVanjs1vaRgG8+bNY9CgQSmSXFdXV7p27crgwYMpX768ze8rImIv4eHh+Pr63lW+lm2G6E6dOsWaNWt47rnn0vU6d3d3qlevzrFjx257jqenJ3nz5k2xZTeHDx+27pcrV84+N0mcsGaxpFxaVUTSp3x5c6W2zZuhbt2k45s2md1POnaEZCVKtmCxWOjYsSMHDx7kf//7H/fddx8A8fHx/Pjjj1SoUIFOnTqp1EFEnFK2SXi///57ChUqxGOPPZau18XHx7Nv3z4KFy5sp8iyhn379ln3K1WqZPsbnD0Lifd48EEoWND29xDJaR55xCwVWrDAnMiWaN48qFDBLH+4QzlWRnh4ePDaa68REhLChx9+SIF/WwsahsGcOXOoVasW9erVY86cOcTZuLZYRMRRskXCm5CQwPfff0+PHj1wc3NL8dyzzz7LoEGDrI8//PBDVq1axfHjx9m9ezfPPPMMp06dSvfIcHaTPOGtUqWK7W+QvB2ZujOI2I7FYq7Stn+/uUBFYleZuDj45hsoUwb69zeXLbYhX19fhgwZwsmTJxk7dqy1fy/Ali1b6NSpEyVLlmTMmDH8888/Nr23iEhmyxYJ75o1azh9+jS9e/dO9dzp06ety+kCXL16leeff54HHniA1q1bEx4eztatW6lQoUJmhpzp9u7da92vXLmy7W+ghFfEvtzdzaWIjx2D4cPBx8c8Hh0NX3wBpUrB4MHmQhY25OPjw1tvvcXJkyf55ptvqFixovW5s2fPMmjQIIoUKULHjh1ZuXIl8XZaMU5ExJ6y1aS1zJKeIuisonDhwoSGhlKwYEEuXrx4x7Zt6RYba5YwhIfDffeZI02Js8xFxD4uX4axY2HCBLhxI+m4r6+5sMXrryclxTZkGAbr1q3jf//7H0uXLk3VszcoKIhevXrRq1cvSpQoYfP7i4jcLaectCa3988//xAaGgqYo7s2TXYBtm0zk10wJ6sp2RWxv/vug48/hpAQePVVcwU3gLAwGDLEHPH97LOUybANWCwWmjRpwpIlSzh69ChvvfVWinKHM2fO8OGHH1KyZEkeeeQRxo8fz7lz52wag4iIrSnhdQJ//vmndd8u5QzJV1fTcsIimatwYRg/3uzh26dP0i+cly6ZI71lysCXX8LNmza/denSpRk7dixnz55lwYIFPPbYY7gk67+9detWXn/9dYoWLUrDhg356quvOHPmjM3jEBG5V0p4ncC2bdus+w8++KDtb5A84W3RwvbXF5H/Vry4uSrboUNmD+zET3LOnTNHgEuXNhNjG4/4gtnesUOHDixdupTTp0/z0Ucfpaj1NQyDjRs30q9fP4oVK0bVqlV577332Lp1q2p+RSRLUA1vGrJbDW/r1q359d+k9NixY5QuXdp2F//7byha1NyvVQt27LDdtUUk4/btg6FDUy9eERAA77xjtjTz9rZrCAcOHGD27NnMnj2bI0eOpHnOfffdR4sWLWjRogXNmjVz+haRIpJ50pOvKeFNQ3ZKeBMSErjvvvu4du0afn5+XLhwwbY1vN99B4kt3YYMgQ8/tN21ReTeBQeb35cLF6Y87u9vro740kuQK5ddQzAMgz///JPFixezbNkydtzhF+PKlSvTrFkzmjdvTv369cll59hExHkp4b1H2SnhPXTokLXlWrt27Vh062jPvXrqKZg/39zfts1cBUpEsp4//4QRI5K+XxMVKgRvvQV9+0Lu3JkSSmhoKL/++ivLli1j1apVXL9+Pc3zPD09qV+/Ps2bN6d58+ZUrlw5RY2wiMidKOG9R9kp4f3mm2948cUXARgzZgzvvPOO7S6udmQi2c++fWbiO28eJP/v3c/PnOT28suQJ0+mhRMbG8v27dtZtWoVq1atYseOHalanSXy9/enWbNm1k3lDyJyJ0p471F2SnifeOIJFv77Ueb27dupU6eO7S6+cSM0bGjud+0KP/9su2uLiH0dOGAmvnPmpEx8CxQwJ7m98opDlgi/cuUK69atY9WqVaxcuZLTp0/f9tzKlStbR3/r1aun8gcRSUEJ7z3KLglvdHQ0BQsWJCIiAj8/P0JDQ237ceA775iN7wF+/BGeecZ21xaRzHHwIHz0EcyalTLxzZULnn8eBg6EoCCHhGYYBkePHrWO/q5fv56IiIg0z3V1daVq1arUqVOHhx56iIceeoiyZcvavu+4iGQbSnjvUXZJeNeuXUvTpk0B6N69O9OnT7ftDapUMT8etVjMcgY/P9teX0Qyz19/wejRMGMGxMUlHXdzM3+ZfecdKF/ecfEBMTExKcofdu7cedvyBzCXRa5UqVKKrUKFCvj7+ysRFskBlPDeo+yS8Pbr14+vvvoKgJkzZ9K5c2fbXfzMGShWzNyvXRt+/9121xYRxzl1CsaNgylTUvbstVigfXt4913zez4LuHz5MuvWrWP16tVs27aNAwcO3DEBTuTj40O5cuVSbWXLlsXX1zcTIheRzKCE9x5lh4T3xo0bBAYGcu3aNby9vQkNDbVtrFOmwAsvmPvDh8OwYba7tog43j//wIQJ5nbtWsrnGjSA/v2hTZssNVE1PDycHTt28Pvvv7N9+3b27dvHyZMn03WNQoUKpZkMly5dGi8vL/sELiJ2oYT3HmWHhHfGjBl069YNgGeffZYffvjBtjfo0CGpof3vv2eZER8RsbHr1+Gbb8xR33PnUj5XujS8/jr06pWpnR3S4/r16xw8eJD9+/ezb98+Dh8+zJEjRzh58iQJCQl3fR2LxULx4sXTTIaLFSuGaxZK/EXEpIT3HmX1hDchIYFatWqxZ88eADZu3Mijjz5quxtER5uztyMizD8vXAD1xhRxbtHR8NNP8MkncPhwyud8fc0FaF591VziOBuIjo7m+PHjHDlyJNUWGhqarmt5eHhQpkwZawJcpkwZihUrRtGiRQkKCsqSPydEcgIlvPcoqye88+bNo2PHjgDUqFGDnTt32naCxooV0KqVuf/ss2Dr0WMRyboSEmDlSvj8c1i9OuVzrq7wxBNm4luvnln3mw2Fh4dz9OhRjhw5Yv3zyJEjHD58mPDw8HRfz8fHh6CgIGsCnNafWfFniUh2p4T3HmXlhPfq1atUqVKFs2fPArB8+XJaJSanttK3L0yebO7Pn2/+gBORnGf/fvjiC3PkNzo65XMVKpjLFnfvDvnyOSI6mzMMg3/++SfNUeGjR48SExOT4Wv7+PgQEBDwn5ufnx/u7u42/KpEnJcS3nuUVRPe2NhYnnjiCZYuXQpAkyZNWL16tW1HdxMSzJ6c586BpydcupRla/dEJJNcvGj+EvzVV2aJU3Le3tCli5n81qqVbUd9/0t8fDxnzpzhyJEjhISEcPbsWc6cOcPZs2et+zdv3rTJve677z4KFSqEv79/qu3W45poJzmZEt57lBUT3kuXLvHss8/y66+/ApA/f3727t1L0aJFbXujHTuSJqg99hj8m1yLiBAdbX7qM2kSbN6c+vkaNczuLp06Oc2o790yDIMrV66kSoIT//z777+5cOECYWFhNr1v3rx57zhiXLhwYevIsSbeibNRwnuPskrCGxcXx59//sn8+fOZPHkyV69eBcDLy4tffvnFuuiETb3/Powcae5/8425EpOIyK3274evv4bp0+HWuldPT7PTS48e0KxZlmpt5mg3btzgwoULhIaGptrOnz/PxYsXuXDhAhcuXCAqKspm93VxcaFgwYLky5ePvHnz4uPjQ968ea373t7eeHp64uXlhaenZ4otI8eUXEtmUMJ7jzIz4T1x4gSffPIJUVFRREZGEhUVRVRUFKGhoYSEhBAbG5vi/IIFCzJr1iyaNGlin4AqVzZ/kFksZllDQIB97iMiziEy0ly2ePJk2Lkz9fOBgWadb48e8MADmR9fNhYREWFNfpMnwmltGZlsZ0+urq7/mRR7eHjg4eGBu7s77u7ud7WfvL7ZMAzrduvj+Pj4VFtcXFy6j1ssFnLlynVXm7e39x3/tFVtdkJCQrq+huRbbGzsPT2+29cMGTKE0qVL2+TrvRMlvPcoMxPe3bt3U7Nmzf88z9XVlWeeeYYxY8YQYK8kNCQEypQx9x96CLZts899RMQ57d5tdnX5+We4fDn187Vrm8lvx47g75/58TmxqKgoLly4wPnz51ONGifuJybG4eHhd7VindiWm5sbXl5euLq6YrFYcHFxSfPPOyWw8fHxjv4y7srmzZt55JFH7H6f9ORrbnaPRu4od+7caR738vKibNmy3H///TRr1oy2bdtSuHBh+wYzd27Sfvv29r2XiDifGjXM7ZNPYPlymDYNli2DuDjz+T/+MLfXX4cmTczJbh065Lh6X3vIlSsXJUuWpGTJkv95rmEYREVFWZPf69evc+PGDaKjo++43bx58z+P3e3jnCguLo6IiAhHh5Ep4hK/57MQjfCmITNHeG/evMnBgwetH4nkzp2bXLly4eXlZdvuC3ejWjX4809z//hxuIv/OEVE7uiff2DGDHPk99/FclLw8DD7fnfpAm3bQq5cmR+jZCrDMIiNjSU6OprY2FjrFhMT85/7iWV+iT8fLRaLdUv+2NXVNc3Nzc3tts+l9XxCQgI3btwgKirK+uetW/LjaZ2bfP/mzZskJCSQkJCAYRhp/nk3cd7t1+bm5oa7uztubm7W7dbHd3NOeq9RrFgxcmXC97JKGu5RVpm0lqn++iupvq52bXM5YRERW9q3z6z3nTkTTpxI/Xzu3NCunZn8NmtmTn4TEbmN9ORrWi9WTLNnJ+137uy4OETEeVWubHaBCQmB7dvN0obkcxIiI83R4LZtoVAh6NbNbIMWGem4mEXEKWiENw05boTXMMxVk/76y3x85gzYur+viEha4uNh40Zz1Hf+fPi3/WIK3t5m2cMTT0CbNuDrm/lxikiWo5KGe5TjEt69e6FqVXO/fn347TfHxiMiOVNMDKxaZU6gXbIErl1LfY6HBzRtmpT8qtuDSI6lLg2SPj/9lLTfqZPj4hCRnM3Dw0xi27Qxk98NG8xR30WLzOWNwTy+fLm5ATz4oHn+Y49B9ergoko9EUlNI7xpyFEjvLGxZvnCxYvg7g5//w1+fo6OSkQkSXw8bNliJr8LFsDZs2mfV7gwtG5tJsBNm0KePJkbp4hkKpU03KMclfAuWmT2wQR48kmYN8+h4YiI3JFhwI4dZsnD0qVJrRRv5e4ODz9sJr5NmpgjwW76UFPEmSjhvUc5KuFt29b8oQHmR4StWjk2HhGR9Dhzxvy/a+lSWLsWbtxI+7y8eaFhQzMBbtoUypc3l1AXkWzLadqSDR8+PEVTaYvFQvny5e/4mrlz51K+fHm8vLyoXLkyyxPrvCS1s2eT6uCKFoXmzR0bj4hIegUFwYsvwi+/mMsZL1sGfftC6dIpzwsPN0eFX3vN7EpTpIg5Z2HCBAgONssmRMRpZfnPdypWrMiaNWusj93u8JHU1q1b6dKlC6NHj6ZNmzbMmDGD9u3bs3v3bipVqpQZ4WYvEydCQoK537s3uLo6Nh4RkXvh7W3W8LZubT4+edIc9V2zxvzzn3+Szj1/HubMMTcwR4AfftjsVFO/vlkC4eWV6V+CiNhHli5pGD58OIsWLSI4OPiuzu/UqRORkZEsTfyIHnjooYeoVq0akydPvuv75oiShshIc2Tk6lWz1u3UKXPCh4iIM0pIgP37zeR3zRrYvBmuX7/9+R4eZteH2rWTtjJl1AVCJAtxqrZkR48eJTAwEC8vL+rWrcvo0aMpVqxYmudu27aNAQMGpDjWokULFi1adMd7REdHEx0dbX0cHh5+z3FneT/8kNTgvWtXJbsi4txcXKBKFXMbMADi4swe5Js2mcnvpk1w4ULS+TEx5hLryZdZz5fPHPlNTIBr1TL/71QtsEiWl6UT3jp16jBt2jTuv/9+zp8/zwcffED9+vXZv38/Pj4+qc4PDQ3F/5Ym5P7+/oSGht7xPqNHj+aDDz6waexZWmwsfPZZ0uP+/R0Xi4iII7i5QY0a5vb662b3h2PHkhLgLVvgyJGUr7l2DVavNrdEBQtCtWrm4j1Vq5r75cubn5yJSJaRpRPeVsk6BlSpUoU6depQvHhx5syZQ58+fWx2n0GDBqUYGQ4PDycoKMhm189ypk6F48fN/aZNk1ZZExHJqSwWKFvW3Hr3No9dvQo7d8Iff5jb77+nHAUGuHQpqUwikYcHVKxo/t9apYo5Sa5iRXOinEaDRRwiSye8t8qXLx/lypXj2LFjaT4fEBDAhVv+M7pw4QIBAQF3vK6npyeenp42izNLu3EDRoxIevzRR46LRUQkK8ufH5o1MzcwR4HPnk1KgPfsMTs8JJ8MB2Y5xJ495pacj4+Z/N66FSum2mARO8tWCW9ERAQhISF07949zefr1q3L2rVreeONN6zHVq9eTd26dTMpwmzgf/8zV1MDaNcO6tRxbDwiItmFxWJO9g0KMhfqATMJDg01F8BI3IKD4fDhpC44ia5fT10XDJArFzzwgJn8li9vTo4rW9b8M43yPRFJvyzdpeHNN9+kbdu2FC9enHPnzjFs2DCCg4M5ePAgfn5+PPvssxQpUoTRo0cDZluyBg0aMGbMGB577DFmzZrFqFGj0t2WzGm7NISEQOXK5iivxWL+x1y5sqOjEhFxPjduwIEDZmeIgweTthMn0nedgICkBDgxCS5b1uwzrGRYcjin6dJw9uxZunTpwuXLl/Hz86NevXps374dPz8/AE6fPo1Lso+BHn74YWbMmMH777/P4MGDKVu2LIsWLVIPXjBHIfr2TVqF6LXXlOyKiNiLt7fZxaFWrZTHIyPN0d+DB82EODERDgkx/5++VWiouW3enPq5fPmgeHGzJKJ48ZT7xYqBv79KJUT+laVHeB3FKUd4P/0U3nrL3C9WzPyPNk8ex8YkIiKmGzfMrhBHjsDRo2bHiKNHze3WiXJ3y8MDAgP/e8ubV5PpJFtKT76mhDcNTpfwrl1rLhucWE+2fDkk64AhIiJZ2PXrSQlw4p8nT5oLBp05Y/YUvhe5cqVOggsXhkKFzM3f3/zTz89MokWyCKcpaRAb2LIFOnRISnaHDFGyKyKSnfj4mKu+Va+e+rn4eLPk4fRpMwFO/ufp03DunNk67U6iosxE+jYdkFLIly8pEb518/OD++6DAgWStjx5NHosWYJGeNPgNCO8y5ZBp05mzRjAY4/BkiWq6RIRyUmio82k+Ny5O2/Xrtn+3m5uKRPgWxPi5Fu+fODra25585p10EqW5Q40wpvTXb8Ow4bB558nHWveHObMUbIrIpLTeHomTWq7k6goOH8+KQH+5x+4eDFpu3AhaT88/O7uHReX9Jr0cnMzE9/EBDh5MpzWMR8fc8uTJ2lLfOymdCen078AZ3LhAkybZi4bnLwReocOMGMGeHk5LDQREcnicuUy252VLv3f5968mTohvnjRXJ3uypW0t+vX0xdPXFzSa++Vp2fKBDitpPhuH3t7mz9PvbzA1fXeY5NMoYQ3u7p506y3OnzYXM1n7VrYscOs50rk4QFjx5otyPSxkIiI2IqXV9IiHHcrJub2CfHlyxAWlrSFh6f8MywMYmMzHm90tLldvpzxa6TFzS0p+b3T5umZ8rGHR9Lm7p6+/bs9z81NP/uTUcLraCdPwttvm4lqQsLt/4yLM7/xr1wx/8OIiLjzdZ9+GkaNurvf1EVEROzNw8Ps+ODvn7HX37yZdjKc+GdEhDmKHBGRcrv12PXrZvmGLcTFJV03K3J3NzdXV3Nzc0vaT8+xWx+7uJjJ9O22ESPM1QOzECW8jhYWBnPn2uZaDzwA7dtDnz5KdEVExLkkjo5mNGFOLj7eTHrvlBTfLnG+efO/txs3Ui8t7Qixsfc2Mp5Rr7+e+ff8D0p4HS099T8eHpA/v7kVKAAlS0K5cuba6/Xqmb0TRURE5M5cXZMmudlLXNztE+KYGHOLjc34fnpeEx+ftMXF3flx4rF7SdizYCmFEl5HK1fO7JXo4pLyo4K0/nR3z5L/iEREROQWbm5JE92yI8NIKq28NTFOSDCfv93m5+fo6FNRwutoHh7pK/oXERERsTeLJWkgzgmoKauIiIiIODUlvCIiIiLi1JTwioiIiIhTU8IrIiIiIk5NCa+IiIiIODUlvCIiIiLi1JTwioiIiIhTU8IrIiIiIk5NCa+IiIiIODUlvCIiIiLi1LS0cBoMwwAgPDzcwZGIiIiISFoS87TEvO1OlPCm4fr16wAEBQU5OBIRERERuZPr16/j6+t7x3Msxt2kxTlMQkIC586dw8fHB4vFYvf7hYeHExQUxJkzZ8ibN6/d7ye2p/cw+9N7mL3p/cv+9B5mf5n9HhqGwfXr1wkMDMTF5c5VuhrhTYOLiwtFixbN9PvmzZtX3+TZnN7D7E/vYfam9y/703uY/WXme/hfI7uJNGlNRERERJyaEl4RERERcWpKeLMAT09Phg0bhqenp6NDkQzSe5j96T3M3vT+ZX96D7O/rPweatKaiIiIiDg1jfCKiIiIiFNTwisiIiIiTk0Jr4iIiIg4NSW8IiIiIuLUlPBmkokTJ1KiRAm8vLyoU6cOf/zxxx3Pnzt3LuXLl8fLy4vKlSuzfPnyTIpUbic97+GUKVOoX78++fPnJ3/+/DRt2vQ/33Oxv/R+HyaaNWsWFouF9u3b2zdAuaP0vn/Xrl2jX79+FC5cGE9PT8qVK6f/Sx0sve/hF198wf3334+3tzdBQUH079+fmzdvZlK0ktxvv/1G27ZtCQwMxGKxsGjRov98zYYNG6hRowaenp6UKVOGadOm2T3O2zLE7mbNmmV4eHgYU6dONQ4cOGA8//zzRr58+YwLFy6kef6WLVsMV1dXY+zYscbBgweN999/33B3dzf27duXyZFLovS+h127djUmTpxo7Nmzxzh06JDRs2dPw9fX1zh79mwmRy6J0vseJjpx4oRRpEgRo379+ka7du0yJ1hJJb3vX3R0tFGrVi2jdevWxubNm40TJ04YGzZsMIKDgzM5ckmU3vfw559/Njw9PY2ff/7ZOHHihLFy5UqjcOHCRv/+/TM5cjEMw1i+fLnx3nvvGQsWLDAAY+HChXc8//jx40auXLmMAQMGGAcPHjQmTJhguLq6GitWrMicgG+hhDcT1K5d2+jXr5/1cXx8vBEYGGiMHj06zfOffvpp47HHHktxrE6dOsaLL75o1zjl9tL7Ht4qLi7O8PHxMX744Qd7hSj/ISPvYVxcnPHwww8b3377rdGjRw8lvA6U3vdv0qRJRqlSpYyYmJjMClH+Q3rfw379+hmNGzdOcWzAgAHGI488Ytc45b/dTcL79ttvGxUrVkxxrFOnTkaLFi3sGNntqaTBzmJiYti1axdNmza1HnNxcaFp06Zs27Ytzdds27YtxfkALVq0uO35Yl8ZeQ9vFRUVRWxsLAUKFLBXmHIHGX0PP/zwQwoVKkSfPn0yI0y5jYy8f0uWLKFu3br069cPf39/KlWqxKhRo4iPj8+ssCWZjLyHDz/8MLt27bKWPRw/fpzly5fTunXrTIlZ7k1Wy2XcHHLXHOTSpUvEx8fj7++f4ri/vz9//fVXmq8JDQ1N8/zQ0FC7xSm3l5H38FbvvPMOgYGBqb75JXNk5D3cvHkz3333HcHBwZkQodxJRt6/48ePs27dOrp168by5cs5duwYL7/8MrGxsQwbNiwzwpZkMvIedu3alUuXLlGvXj0MwyAuLo6XXnqJwYMHZ0bIco9ul8uEh4dz48YNvL29MzUejfCK2NmYMWOYNWsWCxcuxMvLy9HhyF24fv063bt3Z8qUKRQsWNDR4UgGJCQkUKhQIb755htq1qxJp06deO+995g8ebKjQ5O7tGHDBkaNGsVXX33F7t27WbBgAcuWLWPEiBGODk2yIY3w2lnBggVxdXXlwoULKY5fuHCBgICANF8TEBCQrvPFvjLyHib69NNPGTNmDGvWrKFKlSr2DFPuIL3vYUhICCdPnqRt27bWYwkJCQC4ublx+PBhSpcubd+gxSoj34OFCxfG3d0dV1dX67EHHniA0NBQYmJi8PDwsGvMklJG3sMhQ4bQvXt3nnvuOQAqV65MZGQkL7zwAu+99x4uLhqzy8pul8vkzZs300d3QSO8dufh4UHNmjVZu3at9VhCQgJr166lbt26ab6mbt26Kc4HWL169W3PF/vKyHsIMHbsWEaMGMGKFSuoVatWZoQqt5He97B8+fLs27eP4OBg6/b444/TqFEjgoODCQoKyszwc7yMfA8+8sgjHDt2zPqLCsCRI0coXLiwkl0HyMh7GBUVlSqpTfwFxjAM+wUrNpHlchmHTJXLYWbNmmV4enoa06ZNMw4ePGi88MILRr58+YzQ0FDDMAyje/fuxrvvvms9f8uWLYabm5vx6aefGocOHTKGDRumtmQOlt73cMyYMYaHh4cxb9484/z589bt+vXrjvoScrz0voe3UpcGx0rv+3f69GnDx8fHeOWVV4zDhw8bS5cuNQoVKmR89NFHjvoScrz0vofDhg0zfHx8jJkzZxrHjx83Vq1aZZQuXdp4+umnHfUl5GjXr1839uzZY+zZs8cAjHHjxhl79uwxTp06ZRiGYbz77rtG9+7drecntiV76623jEOHDhkTJ05UW7KcYMKECUaxYsUMDw8Po3bt2sb27dutzzVo0MDo0aNHivPnzJljlCtXzvDw8DAqVqxoLFu2LJMjllul5z0sXry4AaTahg0blvmBi1V6vw+TU8LreOl9/7Zu3WrUqVPH8PT0NEqVKmWMHDnSiIuLy+SoJbn0vIexsbHG8OHDjdKlSxteXl5GUFCQ8fLLLxtXr17N/MDFWL9+fZo/1xLfsx49ehgNGjRI9Zpq1aoZHh4eRqlSpYzvv/8+0+NOZDEMfS4gIiIiIs5LNbwiIiIi4tSU8IqIiIiIU1PCKyIiIiJOTQmviIiIiDg1JbwiIiIi4tSU8IqIiIiIU1PCKyIiIiJOTQmviIiIiDg1JbwiIllYz549ad++vcPu3717d0aNGnVX53bu3JnPPvvMzhGJiKSfVloTEXEQi8Vyx+eHDRtG//79MQyDfPnyZU5Qyfz55580btyYU6dOkSdPnv88f//+/Tz66KOcOHECX1/fTIhQROTuKOEVEXGQ0NBQ6/7s2bMZOnQohw8fth7LkyfPXSWa9vLcc8/h5ubG5MmT7/o1Dz74ID179qRfv352jExEJH1U0iAi4iABAQHWzdfXF4vFkuJYnjx5UpU0NGzYkFdffZU33niD/Pnz4+/vz5QpU4iMjKRXr174+PhQpkwZfv311xT32r9/P61atSJPnjz4+/vTvXt3Ll26dNvY4uPjmTdvHm3btk1x/KuvvqJs2bJ4eXnh7+/PU089leL5tm3bMmvWrHv/yxERsSElvCIi2cwPP/xAwYIF+eOPP3j11Vfp27cvHTt25OGHH2b37t00b96c7t27ExUVBcC1a9do3Lgx1atXZ+fOnaxYsYILFy7w9NNP3/Yee/fuJSwsjFq1almP7dy5k9dee40PP/yQw4cPs2LFCh599NEUr6tduzZ//PEH0dHR9vniRUQyQAmviEg2U7VqVd5//33Kli3LoEGD8PLyomDBgjz//POULVuWoUOHcvnyZfbu3QvAl19+SfXq1Rk1ahTly5enevXqTJ06lfXr13PkyJE073Hq1ClcXV0pVKiQ9djp06fJnTs3bdq0oXjx4lSvXp3XXnstxesCAwOJiYlJUa4hIuJoSnhFRLKZKlWqWPddXV257777qFy5svWYv78/ABcvXgTMyWfr16+31gTnyZOH8uXLAxASEpLmPW7cuIGnp2eKiXXNmjWjePHilCpViu7du/Pzzz9bR5ETeXt7A6Q6LiLiSEp4RUSyGXd39xSPLRZLimOJSWpCQgIAERERtG3bluDg4BTb0aNHU5UkJCpYsCBRUVHExMRYj/n4+LB7925mzpxJ4cKFGTp0KFWrVuXatWvWc65cuQKAn5+fTb5WERFbUMIrIuLkatSowYEDByhRogRlypRJseXOnTvN11SrVg2AgwcPpjju5uZG06ZNGTt2LHv37uXkyZOsW7fO+vz+/fspWrQoBQsWtNvXIyKSXkp4RUScXL9+/bhy5QpdunRhx44dhISEsHLlSnr16kV8fHyar/Hz86NGjRps3rzZemzp0qWMHz+e4OBgTp06xfTp00lISOD++++3nrNp0yaaN29u969JRCQ9lPCKiDi5wMBAtmzZQnx8PM2bN6dy5cq88cYb5MuXDxeX2/8YeO655/j555+tj/Ply8eCBQto3LgxDzzwAJMnT2bmzJlUrFgRgJs3b7Jo0SKef/55u39NIiLpoYUnREQkTTdu3OD+++9n9uzZ1K1b9z/PnzRpEgsXLmTVqlWZEJ2IyN3TCK+IiKTJ29ub6dOn33GBiuTc3d2ZMGGCnaMSEUk/jfCKiIiIiFPTCK+IiIiIODUlvCIiIiLi1JTwioiIiIhTU8IrIiIiIk5NCa+IiIiIODUlvCIiIiLi1JTwioiIiIhTU8IrIiIiIk5NCa+IiIiIOLX/A2eZkhvRU5PsAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "nd = opencor.open_simulation('musgrave_2025_nondiabetic.sedml') # both sedml files set up for one (1 s) twitch with 1 kHz sample rate\n",
    "t2d = opencor.open_simulation('musgrave_2025_diabetic.sedml')\n",
    "\n",
    "# reset and clear any existing results\n",
    "nd.reset(True)\n",
    "nd.clear_results()\n",
    "t2d.reset(True)\n",
    "t2d.clear_results()\n",
    "\n",
    "# declare our results dictionaries\n",
    "nd_data = {}\n",
    "t2d_data = {}\n",
    "\n",
    "# run twice to reach steady-state\n",
    "nd.run()\n",
    "nd.run()\n",
    "t2d.run()\n",
    "t2d.run()\n",
    "\n",
    "ds = nd.results().data_store()\n",
    "# Total Force(Stress)\n",
    "nd_data['Ft'] = ds.voi_and_variables()['force_generation/Ft'].values()\n",
    "# time\n",
    "time=ds.voi().values()\n",
    "\n",
    "ds = t2d.results().data_store()\n",
    "t2d_data['Ft'] = ds.voi_and_variables()['force_generation/Ft'].values()\n",
    "\n",
    "# figure plotting\n",
    "plt.figure(figsize=(8,4))\n",
    "plt.plot(time, nd_data['Ft'], label='Non-diabetic', color='black', linewidth=2)\n",
    "plt.plot(time, t2d_data['Ft'], label='Diabetic', color='red', linewidth=2)\n",
    "plt.legend()\n",
    "plt.ylabel('Total Stress (kPa)')\n",
    "plt.xlabel('Time (s)')\n",
    "plt.show()\n",
    "# close simulations\n",
    "opencor.close_simulation(nd)\n",
    "opencor.close_simulation(t2d)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Work-loop simulations\n",
    "\n",
    "The below functions allow us to run the work-loop simulations, by calling the different contraction modes (which are prescribed by separate cellml files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# functions to streamline work-loop simulations\n",
    "\n",
    "def simulate_mode(sim,start,step,stop,y0,i_0,F_after):\n",
    "    ''' Runs a given simulation according to inputs, used to run each segment in the work-loop\n",
    "    Arguments:\n",
    "    sim (Simulation object): simulation to run\n",
    "    start (int/float): starting time point\n",
    "    step (int/float): step size for the simulation\n",
    "    stop (int/float): final time point\n",
    "    y0 (dict): values for each state as dictionary of DataStoreVariable objects (as found from sim.results().states())\n",
    "    i_0 (int): index of y0 to use as start point for this simulation\n",
    "    F_after (int/float): afterload value to prescribe\n",
    "    Returns:\n",
    "    sim.results() (Simulation Results object): complete results of the simulation\n",
    "    '''\n",
    "    sim.reset(True)\n",
    "    sim.clear_results()\n",
    "    sim_data=sim.data()\n",
    "    sim_data.set_starting_point(start)\n",
    "    sim_data.set_point_interval(step)\n",
    "    sim_data.set_ending_point(stop)\n",
    "    sim_data.constants()['length_control/F_after'] = F_after\n",
    "\n",
    "    # update states\n",
    "    for key in list(y0):\n",
    "        sim_data.states()[key] = y0[key].values()[i_0]\n",
    "    \n",
    "    sim.run()\n",
    "\n",
    "    return sim.results()\n",
    "\n",
    "# function to append all simulation results to a dictionary for output\n",
    "def store_results(all_vars, results, i_start, i_end):\n",
    "    ''' Append all simulation results to a dictionary\n",
    "    Arguments:\n",
    "    all_vars (dict): dictionary containing arrays of each variable in the model to append to\n",
    "    results (SimulationResults object): complete results of the simulation\n",
    "    i_start (int): first index of results to append\n",
    "    i_end (int): final index of results to append\n",
    "    Returns:\n",
    "    all_vars (dict): input dictionary with new results appended\n",
    "    Notes:\n",
    "    all_vars uses keys that ignore the component name (i.e. just use the variable name)\n",
    "    '''\n",
    "    vars = results.data_store().variables()\n",
    "    for key in list(vars):\n",
    "        new_key = key[key.find('/')+1:]\n",
    "        all_vars[new_key] = np.hstack((all_vars[new_key],vars[key].values()[i_start:i_end]))\n",
    "    return all_vars\n",
    "\n",
    "\n",
    "def simulate_work_loop(F_after,model_name):\n",
    "    ''' Runs a full work-loop simulation for a given afterload\n",
    "    Arguments:\n",
    "    F_after (int/float): afterload value for the work-loop\n",
    "    model_name (string): 'diabetic' or 'nondiabetic'\n",
    "    Returns:\n",
    "    time (list): array of all time points in the simulation\n",
    "    all_vars (dict): dictionary containing arrays of each variable in the model at all time points in the simulation\n",
    "    Notes:\n",
    "    all_vars uses keys that ignore the component name (i.e. just use the variable name)\n",
    "    '''\n",
    "    isomet = opencor.open_simulation(f'musgrave_2025_{model_name}.cellml')\n",
    "    isoton = opencor.open_simulation(f'musgrave_2025_{model_name}_isoton.cellml')\n",
    "    restretch1 = opencor.open_simulation(f'musgrave_2025_{model_name}_RS1.cellml')\n",
    "    restretch2 = opencor.open_simulation(f'musgrave_2025_{model_name}_RS2.cellml')\n",
    "\n",
    "    time = []\n",
    "    all_vars = {}    \n",
    "    for key in list(isomet.results().data_store().variables()):\n",
    "        new_key = key[key.find('/')+1:]\n",
    "        all_vars[new_key] = []\n",
    "    dt = 0.001\n",
    "\n",
    "    ### phase 1: isometric ### (run whole twitch for steady-state + 0.2 s)\n",
    "    results = simulate_mode(isomet,0,dt,1.2,[],-1,F_after)\n",
    "    # ignore first twitch\n",
    "    IM_Ft = results.algebraic()['force_generation/Ft'].values()[1000:]\n",
    "    IM_t = results.voi().values()[1000:]-1\n",
    "    \n",
    "    i_max = np.argmax(IM_Ft)\n",
    "    # search for point closest to F_after, before peak\n",
    "    i_switch = np.argmin(np.abs(IM_Ft[:i_max]-F_after))\n",
    "    t_switch = IM_t[i_switch] # match index to time\n",
    "    time = np.hstack((time,IM_t[:i_switch]))\n",
    "    all_vars = store_results(all_vars, results, 1000, i_switch + 1000)\n",
    "\n",
    "    ### phase 2: isotonic ###\n",
    "    results = simulate_mode(isoton,t_switch,dt,t_switch + 0.2,results.states(),i_switch,F_after)\n",
    "    IT_L = results.states()['length_control/L'].values()\n",
    "    i_switch = np.argmin(IT_L)\n",
    "    t_switch = results.voi().value(i_switch)\n",
    "    time = np.hstack((time,results.voi().values()[0:i_switch]))\n",
    "    all_vars = store_results(all_vars, results, 0, i_switch)\n",
    "\n",
    "    ### phase 3: isometric ###\n",
    "    results=simulate_mode(isomet,t_switch,dt,0.8,results.states(),i_switch,F_after)\n",
    "    time = np.hstack((time,results.voi().values()[:-1]))\n",
    "    all_vars = store_results(all_vars, results, 0, -1)\n",
    "\n",
    "    ### phase 4: restretch 1 (gradual) ###\n",
    "    results=simulate_mode(restretch1,0.8,dt,0.85,results.states(),-1,F_after)\n",
    "    time = np.hstack((time,results.voi().values()[:-1]))\n",
    "    all_vars = store_results(all_vars, results, 0, -1)\n",
    "    \n",
    "    ### phase 5: restretch 2 (faster) ###\n",
    "    results=simulate_mode(restretch2,0.85,dt,0.95,results.states(),-1,F_after)\n",
    "    time = np.hstack((time,results.voi().values()[:-1]))\n",
    "    all_vars = store_results(all_vars, results, 0, -1)\n",
    "\n",
    "    ### phase 6: isometric relax ###\n",
    "    results=simulate_mode(isomet,0.95,dt,1,results.states(),-1,F_after)\n",
    "    time = np.hstack((time,results.voi().values()))\n",
    "    all_vars = store_results(all_vars, results, 0, None)\n",
    "\n",
    "    #replace arrays with constants for any true constants\n",
    "    for key in list(isomet.data().constants()):\n",
    "        new_key = key[key.find('/')+1:]\n",
    "        if max(all_vars[new_key]-all_vars[new_key][0]) == 0:\n",
    "            all_vars[new_key] = isomet.data().constants()[key]\n",
    "\n",
    "    opencor.close_simulation(isomet)\n",
    "    opencor.close_simulation(isoton)\n",
    "    opencor.close_simulation(restretch1)\n",
    "    opencor.close_simulation(restretch2)\n",
    "\n",
    "    return time, all_vars\n",
    "\n",
    "\n",
    "def analyse_workloops(all_vars,time):\n",
    "    ''' Finds output metrics of work-loop simulations\n",
    "    Arguments:\n",
    "    time (list): array of all time points in the simulation\n",
    "    all_vars (dict): dictionary containing arrays of each variable in the model at all time points in the simulation\n",
    "    Returns:\n",
    "    work (float): work produced during the work-loop (kJ/m^3)\n",
    "    shortening (float): percentage of shortening obtained during the work-loop\n",
    "    velocity (float): maximum velocity of shortening during the work-loop (muscle lengths per second)\n",
    "    power(float): maximum power of shortening during the work-loop (kW/m^3)\n",
    "    energy (float): energy consumed by cross-bridges during the work-loop (kJ/m^3)\n",
    "    efficiency (float): efficiency of the work-loop (%)\n",
    "    '''\n",
    "\n",
    "    #print(f'numpy version: v{np.version.version}')\n",
    "    # required vars/constants\n",
    "    Ft = all_vars['Ft']\n",
    "    L = all_vars['L']\n",
    "    L0 = all_vars['L0']\n",
    "    #dL = all_vars['L/prime']\n",
    "    k3 = all_vars['k3']\n",
    "    C = all_vars['C']\n",
    "    k_3 = all_vars['k_3']\n",
    "    A = all_vars['A']\n",
    "    M_frac = all_vars['rho_myo']\n",
    "    G_ATP = all_vars['G_ATP']\n",
    "    F_after = all_vars['F_after']\n",
    "\n",
    "    work = np.abs(np.trapz(Ft, x= L/L0,))  #note this is trapezium in newer versions of numpy\n",
    "    shortening = 100 - min(L)/L0*100\n",
    "    velocity = -min(np.gradient(L/L0,0.001)) #max slope of L is better estimator than dL (esp due to noise)\n",
    "    power = F_after * velocity\n",
    "    \n",
    "    ATPase_rate=(k3*C-k_3*A)*0.25*M_frac\n",
    "    energy = np.abs(np.trapz(ATPase_rate, x=time))*-G_ATP\n",
    "    efficiency = work/energy*100\n",
    "    return work, shortening, velocity, power, energy, efficiency\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### The section below runs a single (one afterload) work-loop simulation for a model of choice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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I3BccHIzu3bsjNTVVwmRERESkbSyuMmPsF2flxcTEBPPmzcOiRYtgYpL5v/TGjRvh5+eHFy9eSJyOiIiItIXFVWY44vp2Q4cOxY4dO2BtbQ0AOHbsGBo0aIBbt25JnIyIiIi0gcVVZjji+m5t2rTB0aNH4ezsDAC4du0a6tevj9OnT0ucjIiIiD4Wi6vMZI24KhQK2NraSpxGP9WuXRt//vknKlWqBAB48uQJmjVrhl27dkmcjIiIiD4Gi6vMZI242tvbi8ufUm5ly5bFiRMn0KRJEwDAq1ev0L59eyxcuFDiZERERPShWFxlJmvElfNb369IkSI4cOAAunXrBgAQBAHffPMNRo4cCbVaLXE6IiIi0hSLq8ywuGrG0tIS69evx4QJE8R9CxYsQKdOnZCSkiJhMiIiItIUi6uMpKWl4fXr1wB4YZYmTExMMGPGDPz6668wNTUFAOzYsQPNmzfHs2fPJE5HRERE+cXiKiNc7vXj9OvXD6GhoeJFbX/99ReaNm2KBw8eSJyMiIiI8oPFVUZ4K6yP9/nnn+P48eNwcXEBAFy5cgWNGzfmvV6JiIhkgMVVRrj4gHZUr14dx48fR9myZQEAsbGxaNSoES5duiRxMiIiInoXFlcZ4Yir9ri7u+P48eP45JNPAACPHj1CkyZNuFABERGRHmNxlRGOuGqXq6srjh07hlq1agEA4uPj4e3tjcOHD0ucjIiIiPLyUcU1NTVVWzkoHzjiqn2Ojo6IjIxEs2bNAABJSUnw9/fH7t27pQ1GREREuWhUXPfv348ePXrA3d0d5ubmKFSoEOzt7dG0aVPMmDEDDx8+1FVOAkdcdcXe3h779u1DQEAAgMx/kHXo0AEbNmyQOBkRERFll6/iumPHDlSoUAG9e/eGmZkZxo4di5CQEISHh2PlypVo2rQpDh48CHd3dwwcOBBPnz7VdW6jxOKqO9bW1ti+fbu4ypZarUZgYCCWLVsmcTIiIiLKYpafg+bMmYOffvoJ/v7+MDHJ3XU7d+4MAHjw4AEWLVqE33//HSNHjtRuUuJUAR0zNzfH+vXrYW9vj2XLlkEQBAwaNAgpKSkICgqSOh4REZHRy1dxPXXqVL6+WIkSJTBr1qyPCkRvxxFX3TMxMcEvv/wCe3t7zJkzBwAwatQoJCUlYdKkSVAoFBInJCIiMl68q4CMZC+uHHHVHYVCgVmzZmHatGnivilTpmDs2LEQBEHCZERERMYtXyOu/3X//n3s3r0bd+/eRVpaWo7X5s+fr5VglFv24urg4CBhEsOnUCgwadIk2NjYYNSoUQCAH3/8EcnJyVi0aFGeU2aIiIhItzQurpGRkWjTpg3c3d3xzz//wNPTE7dv34YgCKhZs6YuMtK/Xr58KT7nVIGCERQUBBsbGwwaNAiCIOCXX35BcnIyVq5cCTOzD/p3HxEREX0gjYeNxo8fj2+//RYXL16ElZUVtm/fjnv37qFp06bo1KmTLjLSv7KKq62tLUtTARowYADWrl0rjrKuXbsW3bp1y/XTBiIiItItjYvr1atX8fXXXwMAzMzM8OrVK9ja2mLatGmYPXu21gPS/8sqroULF5Y0hzEKDAzEli1bYG5uDgDYunUrvvjiC7x+/VriZERERMZD4+JqY2MjjjS5uLjg5s2b4mvPnj3TXjLKhcVVWl988QV27doFKysrAEBoaChatWqFpKQkiZMREREZB42La7169XD8+HEAQMuWLTFq1CjMmDEDvXv3Rr169bQekDKlpaUhJSUFAIurlPz9/bF//37Y2NgAAA4dOoQWLVrkuHCOiIiIdEPj4jp//nzUrVsXAPD999/D29sbmzdvRpkyZfDbb79pPSBlyl6MWFyl1axZMxw8eFC8QO7kyZNo3rw5f+JARESkYxoVV5VKhZs3b+LevXt4+vQpbGxssGzZMly4cAHbt29H6dKlNfrwY8eOISAgAK6urlAoFNi5c2eO1wVBwOTJk+Hi4gJra2v4+PggJiZGo88wFNnvKMDiKr169erh8OHDcHJyAgCcP38ezZo1w6NHjyRORkREZLjyXVyjo6NRqVIlfP755wgICICHhwfCw8M/6sOTk5NRvXp1LFmyJM/X58yZg4ULF2LZsmX466+/YGNjgxYtWhjlBTEsrvrHy8sLx44dg4uLCwDg8uXLaNKkCe7evStxMiIiIsOU7+I6duxYlC1bFsePH8e5c+fg7e2NoUOHftSH+/v7Y/r06Wjfvn2u1wRBwIIFC/Ddd9+hbdu2qFatGtatW4eHDx/mGpk1Biyu+qly5cqIiooSf9pw48YNNG7c2Gh/MkBERKRL+S6u586dw6JFi1C/fn14eXlh1apVuHnzJlQqlU6CxcbGIi4uDj4+PuI+pVKJunXr4tSpUzr5TH0WHx8vPmdx1S/lypVDVFQUKlSoAAC4e/cumjRpgsuXL0ucjIiIyLDku7i+ePECJUuWFLcLFy4MGxsbPH/+XCfB4uLiAADFihXLsb9YsWLia3lJTU2FSqXK8TAEHHHVb25ubjh27Bg8PT0BZP7/27RpU5w/f17iZERERIZDo4uzrly5ggsXLogPQRBw9erVHPukFhwcDKVSKT7c3NykjqQVLK76r1ixYjhy5Ahq1aoFAHj+/Dk+++wznDx5UuJkREREhkGjdUO9vb0hCEKOfa1bt4ZCoYAgCFAoFFCr1VoJVrx4cQDA48ePxYtfsrZr1Kjx1veNHz8eQUFB4rZKpTKI8sriKg+Ojo6IjIxEq1atcPz4cahUKvj6+mLnzp3w9fWVOh4REZGs5bu4xsbG6jJHLmXLlkXx4sURGRkpFlWVSoW//voLgwYNeuv7LC0tYWlpWUApCw6Lq3zY29sjLCwM7du3R0REBFJSUtCqVSts2LABnTp1kjoeERGRbOW7uGZdNZ2eni6u1/5fmt6APSkpCTdu3BC3Y2NjER0djSJFiqBUqVIYMWIEpk+fjvLly6Ns2bKYNGkSXF1d0a5dO40+xxCwuMqLjY0Ndu/ejW7dumHHjh1IT09Hly5d8OLFCwwYMEDqeERERLKk8cpZXbt2zTVdAMj8EX6zZs00+lpnz56Fl5cXvLy8AABBQUHw8vLC5MmTAQBjxozBsGHD0L9/f9SuXRtJSUkICwsT14o3Jiyu8mNlZYUtW7agT58+ADJv8TZw4EDMnDkzz99DRERE9G4KQcO/QWvXro1q1arlWN710aNHaN68OapUqYJt27ZpPeTHUKlUUCqVSEhIgL29vdRxPliDBg3E24Clp6fDzEyj6ckkIUEQMG7cOMyZM0fcN3LkSMydOxcmJhr/25GIiMjg5Levafy35r59+3Dy5EnxAqiHDx+iWbNmqFq1KrZs2fLhiemdskZcbW1tWVplRqFQYPbs2Zg9e7a476effkKvXr2Qnp4uYTIiIiJ50bgBFS1aFAcOHECjRo0AAKGhoahZsyY2bNjA0SMdyiqunCYgX2PGjIGjoyP69++PjIwMrFu3DvHx8di8eTOsra2ljkdERKT3Pqhpurm5ISIiAhs2bECdOnWwceNGmJqaajsbZcPiahj69OmDbdu2wcLCAgCwZ88efP7550hISJA4GRERkf7L1xxXBwcHKBSKXPtTUlJgaWmZo7S+ePFCuwk/kiHMcU1NTRUvSGvUqBGioqIkTkQf69ChQ2jbti2SkpIAADVq1EBYWFiuleKIiIiMQX77Wr6mCixYsEBbuegDZB+N44irYWjevDkOHz4Mf39/PHv2DNHR0WjUqBEiIiJQpkwZqeMRERHppXwV1x49eug6B70Db4VlmGrVqoWoqCj4+fnh3r17uHHjBho2bIjw8HB4enpKHY+IiEjv5GuOa3JyskZfVNPj6d1YXA1XpUqVcOLECVSqVAlA5l06mjRpIt76jIiIiP5fvoqrh4cHZs2ahUePHr31GEEQEBERAX9/fyxcuFBrAYnF1dC5ubkhKioKtWvXBgDEx8fDx8cH4eHhEicjIiLSL/maKnDkyBFMmDABU6dORfXq1VGrVi24urrCysoK8fHxuHLlCk6dOgUzMzOMHz+eS1pqWfbiqlQqpQtCOuPk5ITIyEi0b98ekZGRSElJQUBAANavX48uXbpIHY+IiEgv5Ku4VqxYEdu3b8fdu3exdetWREVF4eTJk3j16hWcnJzg5eWFFStWwN/fn7fF0oHnz5+Lzx0dHSVMQrpkZ2eHvXv3olu3bggJCUF6ejq+/PJLvHjxAoMGDZI6HhERkeQ0WoCgVKlSGDVqFEaNGqWrPJSH7LcYK1KkiIRJSNcsLS2xZcsWDBo0CCtWrIAgCBg8eDCePXuG7777Ls/b0hERERkLLnUlAxxxNS6mpqZYvnw5xo0bJ+6bPHkyRo4ciYyMDAmTERERSYvFVQY44mp8FAoFgoODMXfuXHHfzz//jB49eiA9PV3CZERERNJhcZUBjrgar1GjRmHVqlUwMcn8rfr777+jffv2SElJkTgZERFRwWNxlYHsI64ODg4SJiEp9OrVC9u3b4elpSUAYO/evWjRokWOu00QEREZAxZXGcgacbWzs4OFhYXEaUgK7dq1Q1hYGOzs7AAAx48fh5+fH1QqlcTJiIiICo7GxTUsLAzHjx8Xt5csWYIaNWqgW7duiI+P12o4ypQ14sr5rcatWbNmOHLkCIoWLQoAOHPmDFq1asWV6oiIyGhoXFxHjx4tjvJcvHgRo0aNQsuWLREbG4ugoCCtBzR2giCIxZXzW6lmzZo4dOiQ+P/C8ePH0bZtW7x+/VriZERERLqncXGNjY3FJ598AgDYvn07WrdujZkzZ2LJkiXYv3+/1gMaO5VKBbVaDYAjrpTJ09MTBw4cEFdRi4yMRMeOHZGWliZxMiIiIt3SuLhaWFiIVzQfPHgQfn5+ADJLFefbaV/2C7M44kpZatasibCwMNja2gLIvGDr66+/5n1eiYjIoGlcXBs1aoSgoCD88MMPOH36NFq1agUAuH79OkqWLKn1gMYu+62wOOJK2dWrVw+hoaGwsrICAGzevBmjR4+WOBUREZHuaFxcFy9eDDMzM2zbtg1Lly5FiRIlAAD79+/H559/rvWAxo4jrvQuTZs2xdatW8X7vM6fPx8//fSTxKmIiIh0w0zTN5QqVQqhoaG59vMvS93giCu9T+vWrbFs2TL0798fABAUFIQSJUqgc+fOEicjIiLSLo1HXM+fP4+LFy+K27t27UK7du0wYcIEXhyiAxxxpfzo168fpkyZIm4HBgbi6NGjEiYiIiLSPo2L64ABA3D9+nUAwK1bt9C1a1cUKlQIW7duxZgxY7Qe0NhxxJXya8qUKejTpw8AIC0tDW3btsXVq1clTkVERKQ9GhfX69evo0aNGgCArVu3okmTJvjjjz+wZs0abN++Xdv5jF72EVcWV3oXhUKBpUuXomXLlgCAhIQEtG7dGs+ePZM4GRERkXZoXFwFQRBvuXPw4EHxL0k3Nzf+BakD2UdcOVWA3sfc3BybN28W/3F569YttG/fHqmpqdIGIyIi0gKNi2utWrUwffp0rF+/HkePHhVvhxUbG4tixYppPaCx44gracrW1hZ79uyBi4sLgMzVtfr16wdBECRORkRE9HE0Lq4LFizA+fPnMXToUEycOBEeHh4AgG3btqFBgwZaD2jsshdXBwcHCZOQnJQsWRK7d++GtbU1AGD9+vWYOXOmxKmIiIg+jkLQ0jDM69evYWpqCnNzc218Oa1RqVRQKpVISEiAvb291HE0VqFCBcTExECpVOLly5dSxyGZCQkJwRdffCFub9myBZ06dZIwERERUW757Wsaj7gCwMuXL7Fy5UqMHz9eHBG8cuUKnjx58mFp6a2yfn05v5U+RIcOHRAcHCxuf/311zh9+rSEiYiIiD6cxsX1woULKF++PGbPno25c+eKo4AhISEYP368tvMZtYyMDMTHxwPg/Fb6cGPHjkWPHj0AZP5kpE2bNrh7967EqYiIiDSncXENCgpCr169EBMTI66RDgAtW7bEsWPHtBrO2L148UK8g0PRokUlTkNypVAo8Ouvv6JJkyYAgMePHyMgIACJiYkSJyMiItKMxsX1zJkzGDBgQK79JUqUQFxcnFZCUabsUy+cnZ0lTEJyZ2Fhge3bt6NcuXIAMn9y0q1bN6jVaomTERER5Z/GxdXS0hIqlSrX/uvXr3NUUMtYXEmbnJycEBoaisKFCwMAQkNDMXbsWGlDERERaUDj4tqmTRtMmzYN6enpADJ/DHn37l2MHTs2x9XL9PGePn0qPmdxJW2oVKkStm3bBlNTUwDAvHnz8Ntvv0mcioiIKH80Lq7z5s1DUlISnJ2d8erVKzRt2hQeHh6ws7PDjBkzdJHRaGUfceVoNmmLt7c3Fi9eLG4PGjQIR48elTARERFR/mhcXJVKJSIiIhAaGoqFCxdi6NCh2LdvH44ePQobGxuthlOr1Zg0aRLKli0La2trlCtXDj/88IPRrADEqQKkKwMHDsTw4cMBAOnp6fjiiy9w8+ZNiVMRERG9m5kmB6enp8Pa2hrR0dFo2LAhGjZsqKtcAIDZs2dj6dKlWLt2LapUqYKzZ8+iV69eUCqV4l+6hozFlXRp3rx5uHbtGsLDw/H8+XMEBATg1KlTUCqVUkcjIiLKk0Yjrubm5ihVqlSBXYl88uRJtG3bFq1atUKZMmXQsWNH+Pn5Gc0N1FlcSZfMzMywefNmVK5cGQBw9epVdOnSBW/evJE4GRERUd40niowceJETJgwQVzRSZcaNGiAyMhIXL9+HQDwv//9D8ePH4e/v/9b35OamgqVSpXjIVec40q6plQqsWfPHnFltvDwcIwaNUriVERERHnTaKoAACxevBg3btyAq6srSpcunWte6/nz57UWbty4cVCpVKhUqRJMTU2hVqsxY8YMfPXVV299T3BwML7//nutZZBSVnG1t7fPsdgDkTaVK1cOISEh8PHxQXp6OhYuXIjKlStj4MCBUkcjIiLKQePi2rZtWygUCl1kyWXLli3YsGED/vjjD1SpUgXR0dEYMWIEXF1dxSUs/2v8+PEICgoSt1UqFdzc3Aokr7ZlFVdOEyBda9KkCZYuXYq+ffsCAIYOHQoPDw/4+PhInIyIiOj/KQQ9vkTfzc0N48aNw5AhQ8R906dPx++//45//vknX19DpVJBqVQiISEB9vb2uoqqdWlpabC0tASQOWXixIkTEiciY/Dtt99i3rx5AIDChQvjr7/+QoUKFSRORUREhi6/fU3jOa7u7u54/vx5rv0vX76Eu7u7pl/unVJSUmBikjOiqakpMjIytPo5+ujZs2fic464UkGZPXs2WrduDSDz93Tr1q0RHx8vcSoiIqJMGhfX27dv53lXgdTUVNy/f18robIEBARgxowZ2Lt3L27fvo0dO3Zg/vz5aN++vVY/Rx89evRIfM7iSgXF1NQUf/zxBzw9PQEAMTEx6Nixo7hSHhERkZTyPcd19+7d4vPw8PAc93pUq9WIjIxE2bJltRpu0aJFmDRpEgYPHownT57A1dUVAwYMwOTJk7X6Ofro4cOH4vMSJUpImISMjZ2dHfbs2YM6derg6dOnOHToEIYNG4alS5cW2Px2IiKivOS7uLZr1w4AoFAocl0YZW5ujjJlyohz47TFzs4OCxYswIIFC7T6deUge3F1dXWVMAkZozJlymDnzp347LPPkJaWhuXLl6NKlSoYNmyY1NGIiMiI5XuqQEZGBjIyMlCqVCk8efJE3M7IyEBqaiquXbsmzo2jj8fiSlJr0KABVq5cKW6PGDECYWFhEiYiIiJjp/Ec19jYWDg5OekiC2XD4kr6IDAwEOPHjweQ+Y/XLl264MqVKxKnIiIiY5Xv4nrq1CmEhobm2Ldu3TqULVsWzs7O6N+/P1JTU7Ue0Fhxjivpi+nTp4sXRKpUKgQEBOS46wUREVFByXdxnTZtGi5fvixuX7x4EX369IGPjw/GjRuHPXv2IDg4WCchjVFWcTU3NxeX4ySSgomJCdavX48aNWoAAG7duoUvvvgCaWlp0gYjIiKjk+/iGh0dDW9vb3F706ZNqFu3LlasWIGgoCAsXLgQW7Zs0UlIY5RVXF1cXHLdy5aooNnY2GD37t0oXrw4AODYsWMYOHAg9Hj9EiIiMkD5bkTx8fEoVqyYuH306FH4+/uL27Vr18a9e/e0m85Ipaeni8u9cn4r6Qs3Nzfs2rULVlZWAIDVq1dj/vz5EqciIiJjku/iWqxYMcTGxgLIXI70/PnzqFevnvh6YmIizM3NtZ/QCMXFxYnPWVxJn9SpUwdr1qwRt0ePHp1r7jsREZGu5Lu4tmzZEuPGjUNUVBTGjx+PQoUKoXHjxuLrFy5cQLly5XQS0tjwjgKkz7p06YIpU6YAAARBwFdffYV//vlH4lRERGQM8l1cf/jhB5iZmaFp06ZYsWIFVqxYAQsLC/H1VatWwc/PTychjU32KRe8owDpoylTpqBjx44AMu800K5dOyQkJEicioiIDF2+V85ycnLCsWPHkJCQAFtbW5iamuZ4fevWrbC1tdV6QGN0+/Zt8XmZMmUky0H0NgqFAqtXr8a1a9dw8eJFXLt2Dd27d8euXbt4MSEREemMxn/DKJXKXKUVAIoUKZJjBJY+HIsryYGtrS127twJBwcHAEBoaCimTp0qbSgiIjJoHBrRQyyuJBfu7u7YvHmzOMr6ww8/ICQkROJURERkqFhc9VBWcbW0tISzs7O0YYjew9fXF3PmzBG3v/76a1y6dEnCREREZKhYXPWMIAhicS1dujTnC5IsBAUF4auvvgIAJCcno23btnjx4oXEqYiIyNCwFemZ58+fIzk5GQCnCZB8KBQKrFixAjVr1gSQuSzsl19+CbVaLXEyIiIyJPm6q8Du3bvz/QXbtGnzwWGI81tJvqytrbFjxw7UqlULT58+xYEDBzBhwgTMnj1b6mhERGQg8lVc27Vrl68vplAoOMLykbIX19KlS0sXhOgDlCpVClu3boW3tzfUajXmzJkDLy8vdO3aVepoRERkAPI1VSAjIyNfD5bWj3fjxg3xedmyZSVMQvRhmjZtigULFojbvXv3xt9//y1dICIiMhic46pnsi+dWblyZQmTEH24IUOGoHfv3gCAV69eoV27dnj69KnEqYiISO7yvXJWdsnJyTh69Cju3r2LtLS0HK8NHz5cK8GMVfbiWqFCBQmTEH04hUKBJUuW4PLly/jrr79w9+5ddOnSBeHh4TA3N5c6HhERyZRCEARBkzf8/fffaNmyJVJSUpCcnIwiRYrg2bNnKFSoEJydnXHr1i1dZf0gKpUKSqUSCQkJsLe3lzrOOwmCAAcHByQkJKB06dI55rsSydGDBw9Qq1YtxMXFAQC++eabHNMIiIiIgPz3NY2nCowcORIBAQGIj4+HtbU1/vzzT9y5cweffvop5s6d+1Ghjd3jx4+RkJAAAKhUqZLEaYg+XokSJbB9+3ZxlPXnn3/G2rVrJU5FRERypXFxjY6OxqhRo2BiYgJTU1OkpqbCzc0Nc+bMwYQJE3SR0WhknybA4kqGokGDBvjll1/E7QEDBuD06dMSJiIiIrnSuLiam5uLqzk5Ozvj7t27AAClUol79+5pN52RYXElQ9W3b18MGjQIAJCamooOHTqI0weIiIjyS+Pi6uXlhTNnzgDIvO3N5MmTsWHDBowYMQKenp5aD2hMLl68KD7nHQXI0CxYsACNGjUCkDn3tWPHjrku7iQiInoXjYvrzJkz4eLiAgCYMWMGHBwcMGjQIDx9+hTLly/XekBjcvbsWfF5jRo1pAtCpAMWFhbYtm0bSpYsCQA4ceIEvvnmG4lTERGRnGh8VwG5kctdBdLS0mBvb4/U1FRUqFAB165dkzoSkU6cPXsWjRo1QmpqKgBg+fLl6N+/v8SpiIhISjq7q0Dz5s3x8uXLPD+wefPmmn45+tfly5fFv8hr164tcRoi3alVqxZ+/fVXcXvo0KGIioqSMBEREcmFxsX1yJEjec5Le/36Nf/y+QjZpwnUqlVLwiREuvf1119jxIgRAID09HS0b98eMTEx0oYiIiK9l++Vsy5cuCA+v3LlSo4rgtVqNcLCwlCiRAntpjMi2W8PxOJKxuDHH3/ElStXcODAATx//hytWrXCqVOn4OjoKHU0IiLSU/me42piYgKFQgEgc4Wn/7K2tsaiRYvE9cn1hVzmuJYrVw63bt2Cubk54uPjYWNjI3UkIp1LSEhAo0aNcOnSJQBA48aNERERAUtLS4mTERFRQcpvX8v3iGtsbCwEQYC7uztOnz6NokWLiq9ZWFjA2dkZpqamH5faSN26dUtcKrdhw4YsrWQ0lEol9u7di7p16yIuLg5RUVHo06cP1q9fL/5DmYiIKEu+i2vp0qUBABkZGToLY6wiIiLE5z4+PhImISp4pUqVwp49e9CkSRO8evUKGzZsgIeHB6ZOnSp1NCIi0jMaX5wFADdv3sSwYcPg4+MDHx8fDB8+HDdv3tR2NqNx4MAB8bmvr6+ESYikUatWLfzxxx/iKOv333+PdevWSZyKiIj0jcbFNTw8HJ988glOnz6NatWqoVq1avjrr79QpUqVHCOHlD8qlQr79u0DADg6OuLTTz+VOBGRNNq1a4d58+aJ23379sWRI0ekC0RERHon31MFsowbNw4jR47ErFmzcu0fO3YsRww1tH37drx+/RoA0LVrV84TJqM2YsQI3LhxA7/88gvS09PRtm1bHDt2DNWrV5c6GhER6QGNR1yvXr2KPn365Nrfu3dvXLlyRSuhjMnatWvF54GBgRImIZKeQqHAzz//jFatWgHI/InE559/jtjYWImTERGRPtC4uBYtWhTR0dG59kdHR8PZ2VkbmXJ48OABunfvDkdHR1hbW6Nq1ao5btYvZydPnsTRo0cBABUqVECdOnUkTkQkPTMzM2zevBn16tUDAMTFxcHPzw9PnjyROBkREUkt38V12rRpSElJQb9+/dC/f3/Mnj0bUVFRiIqKwqxZszBgwAD069dPq+Hi4+PRsGFDmJubY//+/bhy5QrmzZsHBwcHrX6OFARBwJQpU8TtsWPH8vY/RP+ysbFBaGgoKlWqBAC4ceMGWrVqhcTERImTERGRlPK9AIGpqSkePXqEokWLYsGCBZg3bx4ePnwIAHB1dcXo0aMxfPhwrZavcePG4cSJEx+1lKy+LkCwevVqcbGGsmXL4tq1azA3N5c4FZF+uXv3Lho0aIAHDx4AyLzrRmhoKCwsLCRORkRE2pTfvqbRyllxcXE5pgNkjX7Y2dl9ZNy8ffLJJ2jRogXu37+Po0ePokSJEhg8ePA7R3ZTU1ORmpoqbqtUKri5uelVcT158iT8/PyQnJwMAAgJCUH79u0lTkWkny5fvoxGjRrh5cuXAIAvv/wSv//+O0xMPuhufkREpIfyW1w1+pP/v6OpdnZ2OiutQOaKUkuXLkX58uURHh6OQYMGYfjw4TkuaPqv4OBgKJVK8eHm5qazfJrKyMjAb7/9lqO09urVi6WV6B2qVKmC0NBQWFlZAQA2btyIYcOG5bn0NBERGTaNRlyVSuV7pwK8ePFCK8GAzKVka9WqhZMnT4r7hg8fjjNnzuDUqVN5vkdfRlzT0tKQlJSE58+fIyYmBlFRUdi+fTtiYmLEY3x9fbF7927xL2Qiers9e/agffv2UKvVADKnEgUHB0ucioioYAiCYNDXwuR3xFWj+7h+//33UCqVHx0uv1xcXPDJJ5/k2Fe5cmVs3779re+xtLSEpaWlrqPlaefOnejTpw8SExORnp7+zmN79+6NxYsXs7QS5VNAQADWrFkj3jZu1qxZsLe3x/jx4yVORkSkWz/++CMmT56Mhg0bIigoCN7e3hp3HbVajZcvXyI+Ph4qleq9j6SkJCQnJ2P79u2wtbXV0XemOY2Ka9euXXVyy6u3adiwIa5du5Zj3/Xr11G6dOkCy6AJExOTd444KxQKNG3aFBMnToSPj08BJiMyDN27d0diYiIGDx4MAJgwYQLs7e0xZMgQiZMREenGxYsXMW7cOGRkZCAyMhKRkZGwtbVF1apVUbZsWSiVSlhbW+PNmzdIS0tDamoqEhISEB8fn+OhUqk+6PNVKpU8i6sUw9MjR45EgwYNMHPmTHTu3BmnT5/Gr7/+il9//bXAs+SHo6MjPDw8YGdnB1tbW3EOsLu7O6pUqQJfX98CLf5EhmjQoEFQqVQYN24cAGDo0KGws7PD119/LXEyIiLtEgQBw4cPR0ZGRo79SUlJOHXq1FunTWpTUlKSzj9DEx91V4GCEBoaivHjxyMmJgZly5ZFUFCQRveL1dfbYRHRx5k4cSJmzpwJIPPPp61bt6JDhw4SpyIi0p6tW7eic+fOAIBSpUphzpw52Lt3L44ePYq7d+++9/3m5uZwcHDI9VAqlbC3t8/1sLOzE/+bfRCuIO7iovXbYckViyuRYcoaiVi8eDGAzD+g9+zZgxYtWkicjIjo46WkpKBSpUq4d+8eAGDXrl1o06aN+HpiYiIeP34MlUqFlJQUWFhYiA97e3s4ODigUKFCsrmgSycXZxER6QuFQoGff/4ZKpUK69atQ3p6Otq3b48DBw6gUaNGUscjIvoos2bNEktrixYtEBAQkON1Xd+SVF/xDt5EJFsmJib47bffxCkCr169QqtWrXD+/HmJkxERfbjY2FjMmTMHAGBmZoaff/5ZNiOnusbiSkSyZmZmhj/++AN+fn4AMn/c5OfnhytXrkicjIjow4waNUq8J/2IESNQsWJFiRPpDxZXIpI9S0tLhISEiFMEnj9/Dl9fX9y8eVPiZEREmomIiMCOHTsAAMWLF8ekSZMkTqRfWFyJyCDY2NggNDQUNWvWBAA8fPgQ3t7e4hwxIiJ9l5qaiuHDh4vbs2fP5oXl/8HiSkQGQ6lUIjw8XFxx786dO/D29kZcXJzEyYiI3u/HH3/EP//8AwCoV68eunfvLnEi/cPiSkQGxcnJCQcPHoSHhwcAICYmBr6+vnj+/LnEyYiI3i4mJgbTp08HAJiammLZsmUFcv9UueGvCBEZHBcXF0RGRqJUqVIAgEuXLqFFixZISEiQOBkRUW6CIGDw4ME5LsiqXr26xKn0E4srERmkUqVKITIyEsWLFwcAnDt3Dq1atUJycrLEyYiIctq4cSMOHjwIAHBzc8PUqVOlDaTHWFyJyGB5eHjg4MGDcHR0BACcOHECbdu2xevXryVORkSUKT4+HiNHjhS3Fy9eDFtbWwkT6TcWVyIyaFWqVEFERASUSiUAIDIyEp06dUJaWprEyYiIgPHjx+PJkycAgHbt2uVY1pVyY3ElIoPn5eWF/fv3w8bGBgAQGhqK7t27482bNxInIyJjdvLkSSxfvhwAYGtri4ULF0qcSP+xuBKRUahfvz727NkDKysrAMDWrVvRt29fZGRkSJyMiIzR69ev0bt3b3F72rRpcHNzkzCRPLC4EpHR+OyzzxASEgJzc3MAwNq1azF06FAIgiBxMiIyNtOmTcO1a9cAALVr18awYcMkTiQPLK5EZFT8/f2xadMmmJqaAgCWLl2KMWPGsLwSUYE5d+4c5syZAwAwNzfHqlWrYGZmJnEqeWBxJSKj06FDB6xZswYKhQIAMHfuXEybNk3iVERkDNLS0tC7d2+o1WoAwKRJk+Dp6SlxKvlgcSUio9S9e3csW7ZM3J46dSrmzp0rYSIiMgazZ8/GhQsXAADVq1fHuHHjJE4kLyyuRGS0+vfvj59++kncHj16NBYsWCBdICIyaJcuXcIPP/wAIHNZ11WrVolz7il/WFyJyKiNGDFCXB8cAEaOHMmRVyLSuvT0dPTq1Qvp6ekAgDFjxqBmzZoSp5IfFlciMnoTJkzAlClTxO3Ro0cjODhYwkREZGhmzJiBs2fPAgAqVaqEyZMnS5xInlhcicjoKRQKTJ06NcfI64QJE8Qf6RERfYzTp0+Lf76Ymppi3bp14j2lSTMsrkRE/5o4cSJmzZolbk+ePBlTpkzhrbKI6IOlpKQgMDBQvIvAd999h9q1a0ucSr5YXImIshk7dizmzZsnbk+bNg3ffvstV9giog8yduxYXL9+HQBQq1YtTJw4UeJE8sbiSkT0H0FBQfj555/F7fnz5+e4qIKIKD8iIiKwePFiAICVlRXWr1/Puwh8JBZXIqI8DB8+HCtXroSJSeYfk+vWrUP79u2RkpIicTIikoP4+Hj06tVL3J4zZw4qVaokYSLDwOJKRPQWffr0wfbt22FpaQkA2Lt3L3x9fREfHy9xMiLSZ4IgoG/fvnjw4AEAwNfXF0OGDJE4lWFgcSUieod27dohPDwc9vb2AICTJ0+iUaNGuHXrlsTJiEhfLV++HCEhIQAABwcHrFq1SvzpDX0c/ioSEb1H06ZNceTIETg7OwMArly5grp16yIqKkriZESkby5cuIARI0aI26tXr0bJkiWlC2RgWFyJiPLBy8sLJ0+eFOeoPXv2DN7e3lizZo20wYhIbyQnJ6Nr165ITU0FAAwbNgxt27aVOJVhYXElIsqncuXK4dSpU/D19QXw/0s4fvvtt7zjABFhxIgRuHr1KgCgRo0amDNnjsSJDA+LKxGRBgoXLox9+/bluNBi3rx5aN68uXghBhEZn82bN2PlypUAABsbG2zatImrY+kAiysRkYbMzMywePFiLFmyBGZmZgCA48ePw8vLCxERERKnI6KC9s8//6Bfv37i9pIlS1CxYkUJExkuFlciog80ePBgREVFwc3NDQDw9OlTtGjRApMmTeLUASIjkZiYiA4dOiAxMREA0L17d3z99dcSpzJcLK5ERB+hXr16+Pvvv+Hv7w8g8/6N06dPR/369fHPP/9InI6IdEkQBPTp00ec1+rp6Ylly5ZBoVBInMxwsbgSEX0kR0dHhIaGYubMmTA1NQUAnDt3Dl5eXli8eDEyMjIkTkhEuvDTTz9h69atAAB7e3uEhITAxsZG4lSGjcWViEgLTExMMH78eJw6dUqc2/b69WsMGzYMn3/+OS/cIjIwR48exZgxY8Tt9evXo3z58hImMg4srkREWlS7dm2cP38eQ4cOFfdFRETA09MTa9euhSAIEqYjIm24ffs2OnXqBLVaDQCYOHEi2rRpI3Eq4yCr4jpr1iwoFIocK1IQEembQoUKYdGiRQgPD4erqysA4OXLl+jZsydat27N0VciGUtMTERAQACePn0KAPD19cX3338vcSrjIZvieubMGSxfvhzVqlWTOgoRUb74+fnh4sWL6N69u7hv3759qFKlCtasWcPRVyKZUavV6NatGy5dugQAqFChAjZv3izObSfdk0VxTUpKwldffYUVK1bAwcFB6jhERPlWpEgRrF+/Hrt27ULx4sUBAAkJCejVqxdatWqF+/fvS5yQiPJr3LhxCA0NBQA4ODggNDSUvaSAyaK4DhkyBK1atYKPj897j01NTYVKpcrxICKSWps2bXD58mUEBgaK+/bv348qVapg1apVHH0l0nOrVq3C3LlzAWQuQrJt2zZejCUBvS+umzZtwvnz5xEcHJyv44ODg6FUKsVH1o3BiYikVqRIEaxbtw67d++Gi4sLAEClUqFPnz5o2bIl7t27J3FCIsrL4cOHMXDgQHF78eLFaN68uYSJjJdeF9d79+7hm2++wYYNG/K93u/48eORkJAgPvgXARHpm4CAAFy+fDnH6jphYWHw9PTEb7/9xtFXIj0SHR2Ntm3biqvhffPNNxgwYIDEqYyXQtDjPyF37tyJ9u3b55j0rFaroVAoYGJigtTU1PdOiFapVFAqlUhISIC9vb2uIxMRaSQ0NBQDBgzAw4cPxX1+fn5YsWIFSpUqJWEyIrp9+zbq16+PuLg4AJn/6AwJCYGZmZnEyQxPfvuaXo+4ent74+LFi4iOjhYftWrVwldffYXo6GhexUdEste6dWtcunQJPXv2FPcdOHAAnp6eWLlyJUdfiSTy7NkztGjRQiyt9evXx6ZNm1haJabXxdXOzg6enp45HjY2NnB0dISnp6fU8YiItMLBwQGrV6/G3r17xfu+JiYmol+/fmjRogViY2MlTkhkXJKTk9G6dWtcv34dAFCpUiXs2bMHhQoVkjgZ6XVxJSIyJi1btsTly5fRq1cvcV9ERAQ++eQTTJ8+HampqRKmIzIOaWlp6NSpE/766y8AgKurK8LCwuDo6ChxMgL0fI6rNnCOKxHJ0f79+9GvX78cq2yVL18eixcvhp+fn4TJiAxXeno6unTpgh07dgAA7O3tERUVxcWPCoBBzHElIjJW/v7+uHLlCkaOHCnO54+JiUGLFi3QuXNn3L17V+KERIZFrVajR48eYmm1trbGnj17WFr1DIsrEZGesre3x/z583H+/Hk0bNhQ3L9161ZUqFABo0ePRnx8vIQJiQxDRkYG+vXrh40bNwIALC0tsWvXLjRp0kTiZPRfLK5ERHquWrVqOHbsGFavXg0nJycAmasEzp07F+7u7pg7dy5ev34tcUoieRIEAUOHDsXq1asB/P+qWL6+vhIno7ywuBIRyYCJiQl69uyJ69evY8yYMbC0tAQAvHz5EqNHj4aHhwd+/vlnpKSkSJyUSD4EQcCoUaOwdOlSAJm/zzZu3IjWrVtLnIzehsWViEhGHBwcMHv2bFy/fh09evSAQqEAADx48AAjRoxAmTJlEBwcjISEBImTEum3jIwMDB06FD/99BMAQKFQYO3atejYsaPEyehdWFyJiGSoVKlSWLNmDaKjoxEQECDuf/r0KSZMmICSJUti2LBh+OeffyRMSaSf1Go1+vbti19++QVAZmldsWIFunfvLnEyeh8WVyIiGatWrRp2796N//3vf+jatStMTDL/WE9KSsLixYtRuXJl+Pn5Yc+ePVCr1RKnJZJeeno6unfvLs5pNTExwbp169CnTx+Jk1F+8D6uREQGJCYmBvPmzcP69etzzXctXbo0evbsiZ49e6JMmTLSBCSSUGpqKrp06YJdu3YByLwQa+PGjZweoAfy29dYXImIDFB8fDxWr16NJUuW4NatW7leb968OXr37o0OHTrA2tpagoREBSslJQUdOnRAeHg4gMxbXm3fvh2tWrWSOBkBLK4iFlciMmZqtRr79+/HL7/8gvDwcGRkZOR4XalUokOHDujcuTO8vb1hbm4uUVIi3UlMTESbNm1w5MgRAEChQoWwa9cu+Pj4SBuMRCyu/2JxJSLKdP/+faxbtw6rV6/GjRs3cr3u4OCA9u3bo1OnTmjevDksLCwkSEmkXS9fvkTLli1x6tQpAICdnR327t2Lxo0bS5yMsmNx/ReLKxFRToIg4Pjx41i1ahW2bduGpKSkXMfY2trC19cXrVq1gr+/P1xdXSVISvRxnj17hhYtWuD8+fMAgMKFCyM8PBx16tSROBn9F4vrv1hciYje7tWrVwgPD8eWLVuwZ8+ePEssANSoUQP+/v7w9fVFgwYNxAUQiPRVXFwcfH19cenSJQBA0aJFERERgerVq0ucjPLC4vovFlciovx59eoVwsLCEBISgrCwMDx79izP46ytrdGkSRP4+PjAx8cH1apVE2/DRaQP7t+/D29vb1y/fh0A4OLigsjISFSuXFniZPQ2LK7/YnElItKcWq3GuXPnsHfvXuzbtw9nz55967FOTk7w9vaGj48PfH19Ubp06QJMSpRTbGwsmjdvjtu3bwPIXKwjMjISHh4e0gajd2Jx/ReLKxHRx3v8+DEOHjyIgwcPIiIiAg8ePHjrsR4eHuJo7GeffYYiRYoUYFIyZteuXYO3t7f4/2e5cuVw6NAhlCpVSuJk9D4srv9icSUi0i5BEHD9+nWxxB4+fBgqlSrPYxUKBT799FP4+vrCx8cHDRo0gJWVVQEnJmNw8eJF+Pj44MmTJwCAypUr4+DBg7ywUCZYXP/F4kpEpFtv3rzB2bNnxRHZkydPIj09Pc9jLSwsULNmTdStWxf16tVD3bp1UaZMGSgUigJOTYbk3Llz8PPzw4sXLwAA1atXR0REBIoWLSpxMsovFtd/sbgSERWspKQkREVFiUX2woUL7zzeyckJVatWhaenJzw9PVGlShVUqVIFhQsXLpjAJGsnT56Ev7+/OOpfp04dhIWFwcHBQeJkpAkW13+xuBIRSevx48c4dOgQIiIicOLECfFK7/cpWrQoKlSogPLly+f4r4eHBwoVKqTj1CQHhw4dQps2bZCcnAwAaNy4MUJDQ/n3vQyxuP6LxZWISL+8ePECp0+fxp9//ok///wTf//9tzgvMb9KliyZq9CWL18e7u7uXPHLSPzxxx/o2bOnOC3F19cXO3fu5D9qZIrF9V8srkRE+u/p06e4fPkyLl26hEuXLuHq1auIiYnBo0ePNPo6JiYmKFOmTJ4jtaVKlYKpqamOvgMqKBkZGQgODsZ3330n7gsICMCWLVt44Z+Msbj+i8WViEi+EhMTcePGDVy/fh0xMTGIiYkRnz9//lyjr2VhYYFy5cqJI7Nubm7io2TJknBxcWGx1XPPnz9Hjx49sHfvXnFf//79sWTJEpiZmUmYjD4Wi+u/WFyJiAzTixcvchTZ7OU2MTFR469namoKV1dXscyWKFECrq6ucHFxgYuLi/jczs6Od0GQwL59+zBgwADcv39f3Ddz5kyMGzeO58MAsLj+i8WViMi4CIKAx48fv7XUpqamftTXt7GxyVVmsxfcYsWKoVixYnB0dORSuFpw584djBkzBlu2bBH3OTk54ffff0eLFi0kTEbaxOL6LxZXIiLKkpGRgfv37+POnTu4d+9ejsf9+/dx7949PH36VCufZWJigqJFi4pF1tnZWXz+3+2iRYvyorL/uHPnDn788Uf8+uuvOe4L7OPjgzVr1qBEiRISpiNty29f44QQIiIyGiYmJihVqtQ7lwB9/fo17t+/j4cPH+Lhw4d49OgRHj16JD7P+m9CQsI7PysjIwOPHz/G48eP85XNwcEhV6HNeu7s7Jzjua2trUH+eDw5ORkHDhzAqlWrsG/fPmRkZIivOTk5Yf78+ejevbtBfu+UPxxxJSIi+gApKSm5Su2jR4/EsvrkyRPx+dtWEvtQlpaWsLe3h52dXa6HjY0NLC0tYWFhked/37bPyspKfJ79kX2/hYWF1kpj1uj39evX8ddff+HEiRM4fPgwXr9+neM4GxsbjBgxAqNGjeKiAgaMUwX+xeJKRERSEgQBL1++zFFksz//73bWzfT11dvKroWFBczMzN76UCgUSExMREJCAhISEvDgwYN3zjcuWbIk+vfvj4EDB3LpViPAqQJERER6QKFQwMHBAQ4ODqhYseJ7j09OThbLbNbjv9tPnz5FYmKi+EhLSyuA7yRTWloa0tLSPujODe9TvHhxtGnTBu3bt4ePjw9vcUW58P8IIiIiPWJjYwN3d3e4u7vn+z1ZRTIxMRHJycliuUxNTRX/m/159n1ve7x+/Vqj19LS0qBWq6FWq9+Z1dTUFEqlEsWLF4eHhwfKlSuH6tWro0GDBvDw8OD8VXonFlciIiKZs7CwgKOjIxwdHaWOAkEQoFar8ebNmxwPtVoNW1tbFCpUiOWUPhiLKxEREWmNQqEQ57USaRvvjExEREREssDiSkRERESywOJKRERERLLA4kpEREREsqDXxTU4OBi1a9eGnZ0dnJ2d0a5dO1y7dk3qWEREREQkAb0urkePHsWQIUPw559/IiIiAunp6fDz89P7VUWIiIiISPtkteTr06dP4ezsjKNHj6JJkyb5eg+XfCUiIiLSbwa55GtCQgIAoEiRIm89JmsFjywqlUrnuYiIiIhI9/R6qkB2GRkZGDFiBBo2bAhPT8+3HhccHAylUik+3NzcCjAlEREREemKbKYKDBo0CPv378fx48dRsmTJtx6X14irm5sbpwoQERER6SmDmiowdOhQhIaG4tixY+8srQBgaWkJS0tLcTurl3PKABEREZF+yupp7xtP1eviKggChg0bhh07duDIkSMoW7asxl8jMTERADhlgIiIiEjPJSYmQqlUvvV1vZ4qMHjwYPzxxx/YtWsXKlasKO5XKpWwtrbO19fIyMjAw4cPYWdnB4VCoauooqypCffu3ePUBJniOZQ/nkN54/mTP55D+SvocygIAhITE+Hq6goTk7dfgqXXxfVtRXP16tXo2bNnwYbJJ95+S/54DuWP51DeeP7kj+dQ/vT1HOr9VAEiIiIiIkBGt8MiIiIiIuPG4qpllpaWmDJlSo47G5C88BzKH8+hvPH8yR/Pofzp6znU6zmuRERERERZOOJKRERERLLA4kpEREREssDiSkRERESywOJKRERERLLA4voBlixZgjJlysDKygp169bF6dOn33n81q1bUalSJVhZWaFq1arYt29fASWlt9HkHK5YsQKNGzeGg4MDHBwc4OPj895zTrql6e/BLJs2bYJCoUC7du10G5DeS9Nz+PLlSwwZMgQuLi6wtLREhQoV+GepxDQ9hwsWLEDFihVhbW0NNzc3jBw5Eq9fvy6gtJTdsWPHEBAQAFdXVygUCuzcufO97zly5Ahq1qwJS0tLeHh4YM2aNTrPmSeBNLJp0ybBwsJCWLVqlXD58mWhX79+QuHChYXHjx/nefyJEycEU1NTYc6cOcKVK1eE7777TjA3NxcuXrxYwMkpi6bnsFu3bsKSJUuEv//+W7h69arQs2dPQalUCvfv3y/g5CQImp+/LLGxsUKJEiWExo0bC23bti2YsJQnTc9hamqqUKtWLaFly5bC8ePHhdjYWOHIkSNCdHR0ASenLJqeww0bNgiWlpbChg0bhNjYWCE8PFxwcXERRo4cWcDJSRAEYd++fcLEiROFkJAQAYCwY8eOdx5/69YtoVChQkJQUJBw5coVYdGiRYKpqakQFhZWMIGzYXHVUJ06dYQhQ4aI22q1WnB1dRWCg4PzPL5z585Cq1atcuyrW7euMGDAAJ3mpLfT9Bz+15s3bwQ7Ozth7dq1uopI7/Ah5+/NmzdCgwYNhJUrVwo9evRgcZWYpudw6dKlgru7u5CWllZQEek9ND2HQ4YMEZo3b55jX1BQkNCwYUOd5qT3y09xHTNmjFClSpUc+7p06SK0aNFCh8nyxqkCGkhLS8O5c+fg4+Mj7jMxMYGPjw9OnTqV53tOnTqV43gAaNGixVuPJ936kHP4XykpKUhPT0eRIkV0FZPe4kPP37Rp0+Ds7Iw+ffoUREx6hw85h7t370b9+vUxZMgQFCtWDJ6enpg5cybUanVBxaZsPuQcNmjQAOfOnROnE9y6dQv79u1Dy5YtCyQzfRx96jJmBf6JMvbs2TOo1WoUK1Ysx/5ixYrhn3/+yfM9cXFxeR4fFxens5z0dh9yDv9r7NixcHV1zfWbmHTvQ87f8ePH8dtvvyE6OroAEtL7fMg5vHXrFg4dOoSvvvoK+/btw40bNzB48GCkp6djypQpBRGbsvmQc9itWzc8e/YMjRo1giAIePPmDQYOHIgJEyYURGT6SG/rMiqVCq9evYK1tXWBZeGIK5EGZs2ahU2bNmHHjh2wsrKSOg69R2JiIgIDA7FixQo4OTlJHYc+UEZGBpydnfHrr7/i008/RZcuXTBx4kQsW7ZM6miUT0eOHMHMmTPxyy+/4Pz58wgJCcHevXvxww8/SB2NZIYjrhpwcnKCqakpHj9+nGP/48ePUbx48TzfU7x4cY2OJ936kHOYZe7cuZg1axYOHjyIatWq6TImvYWm5+/mzZu4ffs2AgICxH0ZGRkAADMzM1y7dg3lypXTbWjK4UN+D7q4uMDc3BympqbivsqVKyMuLg5paWmwsLDQaWbK6UPO4aRJkxAYGIi+ffsCAKpWrYrk5GT0798fEydOhIkJx9H02du6jL29fYGOtgIccdWIhYUFPv30U0RGRor7MjIyEBkZifr16+f5nvr16+c4HgAiIiLeejzp1oecQwCYM2cOfvjhB4SFhaFWrVoFEZXyoOn5q1SpEi5evIjo6Gjx0aZNG3z22WeIjo6Gm5tbQcYnfNjvwYYNG+LGjRviPzoA4Pr163BxcWFplcCHnMOUlJRc5TTrHyKCIOguLGmFXnWZAr8cTOY2bdokWFpaCmvWrBGuXLki9O/fXyhcuLAQFxcnCIIgBAYGCuPGjROPP3HihGBmZibMnTtXuHr1qjBlyhTeDktimp7DWbNmCRYWFsK2bduER48eiY/ExESpvgWjpun5+y/eVUB6mp7Du3fvCnZ2dsLQoUOFa9euCaGhoYKzs7Mwffp0qb4Fo6fpOZwyZYpgZ2cnbNy4Ubh165Zw4MABoVy5ckLnzp2l+haMWmJiovD3338Lf//9twBAmD9/vvD3338Ld+7cEQRBEMaNGycEBgaKx2fdDmv06NHC1atXhSVLlvB2WHKyaNEioVSpUoKFhYVQp04d4c8//xRfa9q0qdCjR48cx2/ZskWoUKGCYGFhIVSpUkXYu3dvASem/9LkHJYuXVoAkOsxZcqUgg9OgiBo/nswOxZX/aDpOTx58qRQt25dwdLSUnB3dxdmzJghvHnzpoBTU3aanMP09HRh6tSpQrly5QQrKyvBzc1NGDx4sBAfH1/wwUk4fPhwnn+vZZ2zHj16CE2bNs31nho1aggWFhaCu7u7sHr16gLPLQiCoBAEjtETERERkf7jHFciIiIikgUWVyIiIiKSBRZXIiIiIpIFFlciIiIikgUWVyIiIiKSBRZXIiIiIpIFFlciIiIikgUWVyIiIiKSBRZXIqIC0rNnT7Rr106yzw8MDMTMmTPzdWzXrl0xb948HSciItIMV84iItIChULxztenTJmCkSNHQhAEFC5cuGBCZfO///0PzZs3x507d2Bra/ve4y9duoQmTZogNjYWSqWyABISEb0fiysRkRbExcWJzzdv3ozJkyfj2rVr4j5bW9t8FUZd6du3L8zMzLBs2bJ8v6d27dro2bMnhgwZosNkRET5x6kCRERaULx4cfGhVCqhUChy7LO1tc01VaBZs2YYNmwYRowYAQcHBxQrVgwrVqxAcnIyevXqBTs7O3h4eGD//v05PuvSpUvw9/eHra0tihUrhsDAQDx79uyt2dRqNbZt24aAgIAc+3/55ReUL18eVlZWKFasGDp27Jjj9YCAAGzatOnjf3GIiLSExZWISEJr166Fk5MTTp8+jWHDhmHQoEHo1KkTGjRogPPnz8PPzw+BgYFISUkBALx8+RLNmzeHl5cXzp49i7CwMDx+/BidO3d+62dcuHABCQkJqFWrlrjv7NmzGD58OKZNm4Zr164hLCwMTZo0yfG+OnXq4PTp00hNTdXNN09EpCEWVyIiCVWvXh3fffcdypcvj/Hjx8PKygpOTk7o168fypcvj8mTJ+P58+e4cOECAGDx4sXw8vLCzJkzUalSJXh5eWHVqlU4fPgwrl+/nudn3LlzB6ampnB2dhb33b17FzY2NmjdujVKly4NLy8vDB8+PMf7XF1dkZaWlmMaBBGRlFhciYgkVK1aNfG5qakpHB0dUbVqVXFfsWLFAABPnjwBkHmR1eHDh8U5s7a2tqhUqRIA4ObNm3l+xqtXr2BpaZnjAjJfX1+ULl0a7u7uCAwMxIYNG8RR3SzW1tYAkGs/EZFUWFyJiCRkbm6eY1uhUOTYl1U2MzIyAABJSUkICAhAdHR0jkdMTEyuH/VncXJyQkpKCtLS0sR9dnZ2OH/+PDZu3AgXFxdMnjwZ1atXx8uXL8VjXrx4AQAoWrSoVr5XIqKPxeJKRCQjNWvWxOXLl1GmTBl4eHjkeNjY2OT5nho1agAArly5kmO/mZkZfHx8MGfOHFy4cAG3b9/GoUOHxNcvXbqEkiVLwsnJSWffDxGRJlhciYhkZMiQIXjx4gW+/PJLnDlzBjdv3kR4eDh69eoFtVqd53uKFi2KmjVr4vjx4+K+0NBQLFy4ENHR0bhz5w7WrVuHjIwMVKxYUTwmKioKfn5+Ov+eiIjyi8WViEhGXF1dceLECajVavj5+aFq1aoYMWIEChcuDBOTt/+R3rdvX2zYsEHcLly4MEJCQtC8eXNUrlwZy5Ytw8aNG1GlShUAwOvXr7Fz507069dP598TEVF+cQECIiIj8OrVK1SsWBGbN29G/fr133v80qVLsWPHDhw4cKAA0hER5Q9HXImIjIC1tTXWrVv3zoUKsjM3N8eiRYt0nIqISDMccSUiIiIiWeCIKxERERHJAosrEREREckCiysRERERyQKLKxERERHJAosrEREREckCiysRERERyQKLKxERERHJAosrEREREckCiysRERERycL/Ab/MNmspi4DkAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "work=0.526 kJ/m^3, shortening=5.2%, velocity=2.056 s^-1, power=28.780 kW/m^3,energy=18.467 kJ/m^3, efficiency=2.8%\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Runs a single work-loop\n",
    "model_name = 'nondiabetic' # or 'diabetic'\n",
    "\n",
    "time, all_vars= simulate_work_loop(14,model_name)\n",
    "\n",
    "plt.figure(figsize=(8,4))\n",
    "plt.plot(time, all_vars['Ft'], color='black', linewidth=2)\n",
    "plt.ylabel('Total Stress (kPa)')\n",
    "plt.xlabel('Time (s)')\n",
    "plt.figure(figsize=(8,4))\n",
    "plt.plot(time, all_vars['L']/2.2, color='black', linewidth=2)\n",
    "plt.ylabel('L/L$_o$')\n",
    "plt.xlabel('Time (s)')\n",
    "plt.figure(figsize=(8,4))\n",
    "plt.plot(all_vars['L']/2.2, all_vars['Ft'], color='black', linewidth=2)\n",
    "plt.ylabel('Total Stress (kPa)')\n",
    "plt.xlabel('L/L$_o$')\n",
    "plt.show()\n",
    "\n",
    "work, shortening, velocity, power, energy, efficiency = analyse_workloops(all_vars, time)\n",
    "print(f'work={work:.3f} kJ/m^3, shortening={shortening:.1f}%, velocity={velocity:.3f} s^-1, power={power:.3f} kW/m^3,' \n",
    "    f'energy={energy:.3f} kJ/m^3, efficiency={efficiency:.1f}%\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### The section below runs 'full' work-loop simulations, as in the original paper - this involves 10 work-loops for each model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Runs the range of 10 work-loops for each model (same as in the original paper)\n",
    "fig, ax = plt.subplots(nrows=3, ncols=2)\n",
    "fig.set_size_inches(10,10)\n",
    "\n",
    "model_name = 'nondiabetic'\n",
    "nd_work = np.zeros(10)\n",
    "nd_short = np.zeros(10)\n",
    "nd_vel = np.zeros(10)\n",
    "nd_pow = np.zeros(10)\n",
    "nd_energy = np.zeros(10)\n",
    "nd_eff = np.zeros(10)\n",
    "\n",
    "isomet = opencor.open_simulation(f'musgrave_2025_{model_name}.cellml')\n",
    "all_vars = {}\n",
    "results = simulate_mode(isomet,0,0.001,2,[],0,0)\n",
    "vars = results.data_store().variables()\n",
    "for key in list(vars):\n",
    "    new_key = key[key.find('/')+1:]\n",
    "    if key not in list(isomet.data().constants()):\n",
    "        all_vars[new_key] = vars[key].values()[1000:]\n",
    "    else:\n",
    "        all_vars[new_key] = isomet.data().constants()[key]\n",
    "nd_Ftwitch = all_vars['Ft']\n",
    "time = results.voi().values()[1000:]-1\n",
    "all = analyse_workloops(all_vars, time)\n",
    "nd_work[9], nd_short[9], nd_vel[9], nd_pow[9], nd_energy[9], nd_eff[9] = analyse_workloops(all_vars, time)\n",
    "ax[0,0].plot(time, nd_Ftwitch, color='black', linewidth=2)\n",
    "ax[1,0].plot(time, all_vars['L']/all_vars['L0'], color='black', linewidth=2)\n",
    "ax[2,0].plot(all_vars['L']/all_vars['L0'], nd_Ftwitch, color='black', linewidth=2)\n",
    "opencor.close_simulation(isomet)\n",
    "\n",
    "nd_afterloads = np.linspace((min(nd_Ftwitch)*1.05),max(nd_Ftwitch),10)\n",
    "\n",
    "for i in range(9):\n",
    "    a = nd_afterloads[i]\n",
    "    time, all_vars = simulate_work_loop(a,model_name)\n",
    "    ax[0,0].plot(time, all_vars['Ft'], color='black', linewidth=1)\n",
    "    ax[1,0].plot(time, all_vars['L']/all_vars['L0'], color='black', linewidth=1)\n",
    "    ax[2,0].plot(all_vars['L']/all_vars['L0'], all_vars['Ft'], color='black', linewidth=1)\n",
    "    nd_work[i], nd_short[i], nd_vel[i], nd_pow[i], nd_energy[i], nd_eff[i] = analyse_workloops(all_vars, time)\n",
    "\n",
    "\n",
    "model_name = 'diabetic'\n",
    "d_work = np.zeros(10)\n",
    "d_short = np.zeros(10)\n",
    "d_vel = np.zeros(10)\n",
    "d_pow = np.zeros(10)\n",
    "d_energy = np.zeros(10)\n",
    "d_eff = np.zeros(10)\n",
    "\n",
    "isomet = opencor.open_simulation(f'musgrave_2025_{model_name}.cellml')\n",
    "all_vars = {}\n",
    "results = simulate_mode(isomet,0,0.001,2,[],0,0)\n",
    "vars = results.data_store().variables()\n",
    "for key in list(vars):\n",
    "    new_key = key[key.find('/')+1:]\n",
    "    if key not in list(isomet.data().constants()):\n",
    "        all_vars[new_key] = vars[key].values()[1000:]\n",
    "    else:\n",
    "        all_vars[new_key] = isomet.data().constants()[key]\n",
    "d_Ftwitch = all_vars['Ft']\n",
    "time = results.voi().values()[1000:]-1\n",
    "d_work[9], d_short[9], d_vel[9], d_pow[9], d_energy[9], d_eff[9] = analyse_workloops(all_vars, time)\n",
    "ax[0,1].plot(time, d_Ftwitch, color='red', linewidth=2)\n",
    "ax[1,1].plot(time, all_vars['L']/all_vars['L0'], color='red', linewidth=2)\n",
    "ax[2,1].plot(all_vars['L']/all_vars['L0'], d_Ftwitch, color='red', linewidth=2)\n",
    "opencor.close_simulation(isomet)\n",
    "\n",
    "d_afterloads = np.linspace((min(d_Ftwitch)*1.05),max(d_Ftwitch),10)\n",
    "for i in range(9):\n",
    "    a = d_afterloads[i]\n",
    "    time, all_vars = simulate_work_loop(a,model_name)\n",
    "    ax[0,1].plot(time, all_vars['Ft'], color='red', linewidth=1)\n",
    "    ax[1,1].plot(time, all_vars['L']/all_vars['L0'], color='red', linewidth=1)\n",
    "    ax[2,1].plot(all_vars['L']/all_vars['L0'], all_vars['Ft'], color='red', linewidth=1)\n",
    "    d_work[i], d_short[i], d_vel[i], d_pow[i], d_energy[i], d_eff[i] = analyse_workloops(all_vars, time)\n",
    "    \n",
    "\n",
    "ax[0,0].set_title('Non-diabetic')\n",
    "ax[0,1].set_title('Diabetic')\n",
    "ax[0,1].set_ylim(ax[0,0].get_ylim())\n",
    "ax[2,1].set_ylim(ax[2,0].get_ylim())\n",
    "for i in range(2):\n",
    "    ax[0,i].set_ylabel('Stress (kPa)')\n",
    "    ax[0,i].set_xlabel('Time (s)')\n",
    "    ax[1,i].set_ylabel('L/L$_o$')\n",
    "    ax[1,i].set_xlabel('Time (s)')\n",
    "    ax[2,i].set_ylabel('Stress (kPa)')\n",
    "    ax[2,i].set_xlabel('L/L$_o$')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### The section below plots the work-loop metrics calculated in the simulation above"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# separate plotting for the work-loop metrics calculated in above simulation\n",
    "fig, ax = plt.subplots(2, 3)\n",
    "fig.set_size_inches(8,5)\n",
    "plt.tight_layout(pad=2)\n",
    "#work\n",
    "ax[0,0].plot(nd_afterloads/nd_afterloads[9], nd_work, 'o', color='black')\n",
    "ax[0,0].plot(d_afterloads/d_afterloads[9], d_work, 'o', color='red')\n",
    "ax[0,0].set_ylabel('Work (kJ m$^{-3}$)')\n",
    "ax[0,0].set_xlim(0, 1)\n",
    "# shortening\n",
    "ax[0,1].plot(nd_afterloads/nd_afterloads[9], nd_short, 'o', color='black')\n",
    "ax[0,1].plot(d_afterloads/d_afterloads[9], d_short, 'o', color='red')\n",
    "ax[0,1].set_ylabel('Shortening Extent (%)')\n",
    "ax[0,1].set_xlim(0, 1)\n",
    "ax[0,1].legend(['Non-diabetic', 'Diabetic'])\n",
    "# velocity\n",
    "ax[1,0].plot(nd_afterloads/nd_afterloads[9], nd_vel, 'o', color='black')\n",
    "ax[1,0].plot(d_afterloads/d_afterloads[9], d_vel, 'o', color='red')\n",
    "ax[1,0].set_ylabel('Shortening Velocity (s$^{-1}$)')\n",
    "ax[1,0].set_xlabel('Relative Afterload')\n",
    "ax[1,0].set_xlim(0, 1)\n",
    "# power\n",
    "ax[1,1].plot(nd_afterloads/nd_afterloads[9], nd_pow, 'o', color='black')\n",
    "ax[1,1].plot(d_afterloads/d_afterloads[9], d_pow, 'o', color='red')\n",
    "ax[1,1].set_ylabel('Shortening Power (kW m$^{-3}$)')\n",
    "ax[1,1].set_xlabel('Relative Afterload')\n",
    "ax[1,1].set_xlim(0, 1)\n",
    "# energy\n",
    "ax[0,2].plot(nd_afterloads/nd_afterloads[9], nd_energy, 'o', color='black')\n",
    "ax[0,2].plot(d_afterloads/d_afterloads[9], d_energy, 'o', color='red')\n",
    "ax[0,2].set_ylabel('XB Energy (kJ m$^{-3}$)')\n",
    "ax[0,2].set_xlim(0, 1)\n",
    "# efficiency\n",
    "ax[1,2].plot(nd_afterloads/nd_afterloads[9], nd_eff, 'o', color='black')\n",
    "ax[1,2].plot(d_afterloads/d_afterloads[9], d_eff, 'o', color='red')\n",
    "ax[1,2].set_ylabel('XB Efficiency (%)')\n",
    "ax[1,2].set_xlabel('Relative Afterload')\n",
    "ax[1,2].set_xlim(0, 1)\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Notes for other simulations:\n",
    "'force_generation/rho_myo' can be changed to 1 in order to simulate force production at the myocyte level, rather than the muscle level.\n",
    "\n",
    "'model_parameters/ATP' and 'model_parameters/Pi' can be changed to explore the effects of changing metabolite conditions.\n",
    "\n",
    "For the work-loop simulations, changes to parameters must be performed within the 'simulate_mode' function. These are all constants in the model, so can be changed programatically the same way as F_after.\n",
    "\n",
    "https://opencor.ws/user/pythonSupport.html explains how to access the different data types produced in an OpenCOR simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "OpenCOR",
   "language": "python",
   "name": "opencor"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
