{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "301f7194-e559-4d16-a538-2634afb87a37",
   "metadata": {},
   "source": [
    "# Viscosity Coefficients\n",
    "\n",
    "## Prelude\n",
    "In this notebook we will attempt to calculate the viscosity of the Yukawa OCP.\n",
    "\n",
    "The YAML input file can be found at [input_file](https://raw.githubusercontent.com/murillo-group/sarkas/master/docs/examples/YOCP/input_files/yocp_viscosity.yaml) and this notebook at [notebook](https://raw.githubusercontent.com/murillo-group/sarkas/master/docs/examples/YOCP/YOCP_viscosity.ipynb).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a9ea21cc-faae-4d78-a033-5c73e06b0262",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using matplotlib backend: Qt5Agg\n",
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "# Import the usual libraries\n",
    "%pylab\n",
    "%matplotlib inline\n",
    "\n",
    "import os\n",
    "plt.style.use('MSUstyle')\n",
    "\n",
    "# Import sarkas\n",
    "from sarkas.processes import Simulation, PostProcess, PreProcess\n",
    "\n",
    "\n",
    "# Create the file path to the YAML input file\n",
    "input_file_name = os.path.join('input_files', 'yocp_viscosity.yaml')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "02db6ac5-ec00-473d-8635-08801009449b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# pre = PreProcess(input_file_name)\n",
    "# pre.setup(read_yaml=True)\n",
    "# pre.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cc363c1d-5fd8-409f-9bf6-d9ed16ac44e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# sim = Simulation(input_file_name)\n",
    "# sim.setup(read_yaml=True)\n",
    "# sim.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "87157209-602b-4364-acb5-578cae560dee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x576 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "postproc = PostProcess(input_file_name)\n",
    "postproc.setup(read_yaml=True)\n",
    "postproc.parameters.verbose = True\n",
    "postproc.therm.setup(postproc.parameters)\n",
    "postproc.therm.temp_energy_plot(postproc)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f197d5cf-8009-4040-ac40-2ac2d5a97a6a",
   "metadata": {},
   "source": [
    "## Pair Distribution Function\n",
    "\n",
    "The first observable to calculate is always the RDF."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0d33ed48-0262-4692-9932-b5ee5722b717",
   "metadata": {},
   "outputs": [],
   "source": [
    "rdf = postproc.rdf\n",
    "rdf.setup(postproc.parameters, no_slices=1 )\n",
    "rdf.parse()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "50b76b82-86eb-4a18-b097-0fab499113bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='$r /a$'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rdf.plot(scaling = rdf.a_ws, \n",
    "         y = ('C-C RDF', 'Mean'),\n",
    "         xlabel = r'$r /a$')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "607828f5-7ad6-40b4-ab02-5dec6248f078",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sarkas.tools.transport import TransportCoefficients\n",
    "from sarkas.tools.observables import PressureTensor"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce1bde8e-c4f1-485d-ae71-7d77d7abad66",
   "metadata": {},
   "source": [
    "## Pressure Tensor\n",
    "\n",
    "The viscosity is obtained from the autocorrelation function of the Pressure Tensor $\\overleftrightarrow{\\mathcal P}$ whose elements are\n",
    "\n",
    "\\begin{equation}\n",
    "\\mathcal P_{\\alpha\\gamma}(t) = \\frac{1}{V} \\sum_{i}^{N} \\left [ m_i v^{\\alpha}_{i} v^{\\gamma}_{i} -  \\sum_{j > i} \\frac{r_{ij}^{\\alpha} r_{ij}^{\\gamma} }{r_{ij}} \\frac{d}{dr}\\phi(r) \\right ],\n",
    "\\end{equation}\n",
    "\n",
    "where $r_{ij}^{\\alpha}$ is the $\\alpha$ component of the distance between particles $i$ and $j$. The first term is the kinetic term and the second term is the virial term, but it is often referred to as the potential contribution. The virial is calculated during the simulation phase and saved together with particles corrdinates. \n",
    "\n",
    "In order to check that our code are correct, let's verify some laws. \n",
    "\n",
    "The pressure of the system is calculated from $\\mathcal P(t)= \\frac1{3} {\\rm Tr} \\overleftrightarrow{\\mathcal P}(t)$ and also from \n",
    "\n",
    "\\begin{equation}\n",
    "P = \\frac{n}{\\beta} - \\frac{2\\pi}{3} n^2 \\int_0^{\\infty} dr \\, r^3 \\frac{d\\phi(r)}{dr} g(r)\n",
    "\\end{equation}\n",
    "\n",
    "where $g(r)$ is the pair distribution function that we have already calculated.\n",
    "\n",
    "Let's calculate the Pressure tensor and the pressure $\\mathcal P$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c2404f8b-aeb9-4a13-85bc-945ae029875f",
   "metadata": {},
   "outputs": [],
   "source": [
    "pt = PressureTensor()\n",
    "pt.setup(postproc.parameters, no_slices = 2)\n",
    "# pt.compute()\n",
    "pt.parse()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01d32c05-88d0-4ff9-b3b5-8fb1fdb981f6",
   "metadata": {},
   "source": [
    "As usual the data is saved in several dataframes. In this case we have 4 dataframes\n",
    "\n",
    "* A dataframe for the values of each of the elements of the pressure tensor for each of the slices, `pt.dataframe_slices`\n",
    "* A dataframe for the mean and std values of each of the elements of the pressure tensor, `pt.dataframe`\n",
    "* A dataframe for the ACF of each pair $\\langle \\mathcal P_{\\alpha\\beta}(t)\\mathcal P_{\\mu\\nu}(0) \\rangle$ for each slice, `pt.dataframe_acf_slices`\n",
    "* A dataframe for the mean and std of the ACF of each pair $\\langle \\mathcal P_{\\alpha\\beta}(t)\\mathcal P_{\\mu\\nu}(0) \\rangle$, `pt.dataframe_acf`\n",
    "\n",
    "Let's look at `pt.dataframe` and at its columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "593d3927-a905-43c7-a8b0-b6b30450cbcd",
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Delta Pressure</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure Tensor Kinetic xx</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure Tensor Potential xx</th>\n",
       "      <th>Pressure Tensor xx</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure Tensor Potential zy</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure Tensor zy</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure Tensor Kinetic zz</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure Tensor Potential zz</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure Tensor zz</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>NaN</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>...</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.481050e+13</td>\n",
       "      <td>4.475378e+09</td>\n",
       "      <td>9.640046e+08</td>\n",
       "      <td>4.624121e+09</td>\n",
       "      <td>7.093304e+11</td>\n",
       "      <td>1.803769e+10</td>\n",
       "      <td>1.407423e+13</td>\n",
       "      <td>3.070777e+10</td>\n",
       "      <td>1.478356e+13</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.349294e+10</td>\n",
       "      <td>9.080726e+08</td>\n",
       "      <td>1.513634e+09</td>\n",
       "      <td>6.403260e+09</td>\n",
       "      <td>7.178245e+11</td>\n",
       "      <td>2.283417e+09</td>\n",
       "      <td>1.412591e+13</td>\n",
       "      <td>1.183573e+10</td>\n",
       "      <td>1.484373e+13</td>\n",
       "      <td>9.552317e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6.250000e-17</td>\n",
       "      <td>1.481062e+13</td>\n",
       "      <td>4.360531e+09</td>\n",
       "      <td>1.077576e+09</td>\n",
       "      <td>4.509274e+09</td>\n",
       "      <td>7.092128e+11</td>\n",
       "      <td>1.788308e+10</td>\n",
       "      <td>1.407437e+13</td>\n",
       "      <td>3.043084e+10</td>\n",
       "      <td>1.478358e+13</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.359784e+10</td>\n",
       "      <td>7.774131e+08</td>\n",
       "      <td>1.428573e+09</td>\n",
       "      <td>6.230626e+09</td>\n",
       "      <td>7.176454e+11</td>\n",
       "      <td>1.632009e+09</td>\n",
       "      <td>1.412631e+13</td>\n",
       "      <td>1.180888e+10</td>\n",
       "      <td>1.484395e+13</td>\n",
       "      <td>1.017687e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.250000e-16</td>\n",
       "      <td>1.481073e+13</td>\n",
       "      <td>4.238994e+09</td>\n",
       "      <td>1.189024e+09</td>\n",
       "      <td>4.387736e+09</td>\n",
       "      <td>7.091114e+11</td>\n",
       "      <td>1.771433e+10</td>\n",
       "      <td>1.407450e+13</td>\n",
       "      <td>3.012222e+10</td>\n",
       "      <td>1.478361e+13</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.368992e+10</td>\n",
       "      <td>6.259734e+08</td>\n",
       "      <td>1.336832e+09</td>\n",
       "      <td>6.048696e+09</td>\n",
       "      <td>7.174492e+11</td>\n",
       "      <td>9.777352e+08</td>\n",
       "      <td>1.412669e+13</td>\n",
       "      <td>1.176571e+10</td>\n",
       "      <td>1.484414e+13</td>\n",
       "      <td>1.078798e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.875000e-16</td>\n",
       "      <td>1.481084e+13</td>\n",
       "      <td>4.112669e+09</td>\n",
       "      <td>1.300868e+09</td>\n",
       "      <td>4.261411e+09</td>\n",
       "      <td>7.090262e+11</td>\n",
       "      <td>1.753208e+10</td>\n",
       "      <td>1.407463e+13</td>\n",
       "      <td>2.978323e+10</td>\n",
       "      <td>1.478365e+13</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.377276e+10</td>\n",
       "      <td>4.507040e+08</td>\n",
       "      <td>1.235023e+09</td>\n",
       "      <td>5.853759e+09</td>\n",
       "      <td>7.172359e+11</td>\n",
       "      <td>3.218677e+08</td>\n",
       "      <td>1.412707e+13</td>\n",
       "      <td>1.170957e+10</td>\n",
       "      <td>1.484430e+13</td>\n",
       "      <td>1.138770e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.500000e-16</td>\n",
       "      <td>1.481095e+13</td>\n",
       "      <td>3.982834e+09</td>\n",
       "      <td>1.412491e+09</td>\n",
       "      <td>4.131577e+09</td>\n",
       "      <td>7.089578e+11</td>\n",
       "      <td>1.733693e+10</td>\n",
       "      <td>1.407475e+13</td>\n",
       "      <td>2.941981e+10</td>\n",
       "      <td>1.478371e+13</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.384260e+10</td>\n",
       "      <td>2.570485e+08</td>\n",
       "      <td>1.127174e+09</td>\n",
       "      <td>5.650556e+09</td>\n",
       "      <td>7.170051e+11</td>\n",
       "      <td>3.343385e+08</td>\n",
       "      <td>1.412743e+13</td>\n",
       "      <td>1.164139e+10</td>\n",
       "      <td>1.484443e+13</td>\n",
       "      <td>1.197573e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149995</th>\n",
       "      <td>9.374688e-12</td>\n",
       "      <td>1.481016e+13</td>\n",
       "      <td>4.676448e+09</td>\n",
       "      <td>6.174698e+08</td>\n",
       "      <td>4.527706e+09</td>\n",
       "      <td>7.118162e+11</td>\n",
       "      <td>2.094178e+10</td>\n",
       "      <td>1.409873e+13</td>\n",
       "      <td>3.950421e+09</td>\n",
       "      <td>1.481055e+13</td>\n",
       "      <td>...</td>\n",
       "      <td>-9.425949e+09</td>\n",
       "      <td>6.014705e+09</td>\n",
       "      <td>-5.177773e+09</td>\n",
       "      <td>2.743918e+09</td>\n",
       "      <td>7.148230e+11</td>\n",
       "      <td>2.812314e+08</td>\n",
       "      <td>1.410559e+13</td>\n",
       "      <td>3.738486e+10</td>\n",
       "      <td>1.482042e+13</td>\n",
       "      <td>3.710363e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149996</th>\n",
       "      <td>9.374750e-12</td>\n",
       "      <td>1.481018e+13</td>\n",
       "      <td>4.712473e+09</td>\n",
       "      <td>6.394380e+08</td>\n",
       "      <td>4.563731e+09</td>\n",
       "      <td>7.118652e+11</td>\n",
       "      <td>2.120674e+10</td>\n",
       "      <td>1.409889e+13</td>\n",
       "      <td>4.123326e+09</td>\n",
       "      <td>1.481076e+13</td>\n",
       "      <td>...</td>\n",
       "      <td>-9.394952e+09</td>\n",
       "      <td>6.262046e+09</td>\n",
       "      <td>-5.058588e+09</td>\n",
       "      <td>2.647215e+09</td>\n",
       "      <td>7.150820e+11</td>\n",
       "      <td>1.719736e+08</td>\n",
       "      <td>1.410561e+13</td>\n",
       "      <td>3.806962e+10</td>\n",
       "      <td>1.482069e+13</td>\n",
       "      <td>3.789764e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149997</th>\n",
       "      <td>9.374812e-12</td>\n",
       "      <td>1.481020e+13</td>\n",
       "      <td>4.744467e+09</td>\n",
       "      <td>6.613843e+08</td>\n",
       "      <td>4.595724e+09</td>\n",
       "      <td>7.119236e+11</td>\n",
       "      <td>2.144853e+10</td>\n",
       "      <td>1.409906e+13</td>\n",
       "      <td>4.318283e+09</td>\n",
       "      <td>1.481098e+13</td>\n",
       "      <td>...</td>\n",
       "      <td>-9.343740e+09</td>\n",
       "      <td>6.501897e+09</td>\n",
       "      <td>-4.937013e+09</td>\n",
       "      <td>2.541221e+09</td>\n",
       "      <td>7.153249e+11</td>\n",
       "      <td>5.141538e+07</td>\n",
       "      <td>1.410562e+13</td>\n",
       "      <td>3.872970e+10</td>\n",
       "      <td>1.482094e+13</td>\n",
       "      <td>3.867828e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149998</th>\n",
       "      <td>9.374875e-12</td>\n",
       "      <td>1.481023e+13</td>\n",
       "      <td>4.768360e+09</td>\n",
       "      <td>6.851347e+08</td>\n",
       "      <td>4.619617e+09</td>\n",
       "      <td>7.119910e+11</td>\n",
       "      <td>2.166620e+10</td>\n",
       "      <td>1.409922e+13</td>\n",
       "      <td>4.541414e+09</td>\n",
       "      <td>1.481121e+13</td>\n",
       "      <td>...</td>\n",
       "      <td>-9.272190e+09</td>\n",
       "      <td>6.732523e+09</td>\n",
       "      <td>-4.812951e+09</td>\n",
       "      <td>2.428042e+09</td>\n",
       "      <td>7.155505e+11</td>\n",
       "      <td>8.013261e+07</td>\n",
       "      <td>1.410562e+13</td>\n",
       "      <td>3.935915e+10</td>\n",
       "      <td>1.482117e+13</td>\n",
       "      <td>3.943928e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149999</th>\n",
       "      <td>9.374937e-12</td>\n",
       "      <td>1.481025e+13</td>\n",
       "      <td>4.787700e+09</td>\n",
       "      <td>7.087402e+08</td>\n",
       "      <td>4.638958e+09</td>\n",
       "      <td>7.120667e+11</td>\n",
       "      <td>2.185886e+10</td>\n",
       "      <td>1.409938e+13</td>\n",
       "      <td>4.789867e+09</td>\n",
       "      <td>1.481144e+13</td>\n",
       "      <td>...</td>\n",
       "      <td>-9.179610e+09</td>\n",
       "      <td>6.954353e+09</td>\n",
       "      <td>-4.685684e+09</td>\n",
       "      <td>2.307675e+09</td>\n",
       "      <td>7.157575e+11</td>\n",
       "      <td>2.223411e+08</td>\n",
       "      <td>1.410561e+13</td>\n",
       "      <td>3.996308e+10</td>\n",
       "      <td>1.482137e+13</td>\n",
       "      <td>4.018542e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150000 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Time      Pressure               Delta Pressure                \\\n",
       "                 NaN          Mean           Std           Mean           Std   \n",
       "0       0.000000e+00  1.481050e+13  4.475378e+09   9.640046e+08  4.624121e+09   \n",
       "1       6.250000e-17  1.481062e+13  4.360531e+09   1.077576e+09  4.509274e+09   \n",
       "2       1.250000e-16  1.481073e+13  4.238994e+09   1.189024e+09  4.387736e+09   \n",
       "3       1.875000e-16  1.481084e+13  4.112669e+09   1.300868e+09  4.261411e+09   \n",
       "4       2.500000e-16  1.481095e+13  3.982834e+09   1.412491e+09  4.131577e+09   \n",
       "...              ...           ...           ...            ...           ...   \n",
       "149995  9.374688e-12  1.481016e+13  4.676448e+09   6.174698e+08  4.527706e+09   \n",
       "149996  9.374750e-12  1.481018e+13  4.712473e+09   6.394380e+08  4.563731e+09   \n",
       "149997  9.374812e-12  1.481020e+13  4.744467e+09   6.613843e+08  4.595724e+09   \n",
       "149998  9.374875e-12  1.481023e+13  4.768360e+09   6.851347e+08  4.619617e+09   \n",
       "149999  9.374937e-12  1.481025e+13  4.787700e+09   7.087402e+08  4.638958e+09   \n",
       "\n",
       "       Pressure Tensor Kinetic xx               Pressure Tensor Potential xx  \\\n",
       "                             Mean           Std                         Mean   \n",
       "0                    7.093304e+11  1.803769e+10                 1.407423e+13   \n",
       "1                    7.092128e+11  1.788308e+10                 1.407437e+13   \n",
       "2                    7.091114e+11  1.771433e+10                 1.407450e+13   \n",
       "3                    7.090262e+11  1.753208e+10                 1.407463e+13   \n",
       "4                    7.089578e+11  1.733693e+10                 1.407475e+13   \n",
       "...                           ...           ...                          ...   \n",
       "149995               7.118162e+11  2.094178e+10                 1.409873e+13   \n",
       "149996               7.118652e+11  2.120674e+10                 1.409889e+13   \n",
       "149997               7.119236e+11  2.144853e+10                 1.409906e+13   \n",
       "149998               7.119910e+11  2.166620e+10                 1.409922e+13   \n",
       "149999               7.120667e+11  2.185886e+10                 1.409938e+13   \n",
       "\n",
       "                     Pressure Tensor xx  ... Pressure Tensor Potential zy  \\\n",
       "                 Std               Mean  ...                         Mean   \n",
       "0       3.070777e+10       1.478356e+13  ...                -1.349294e+10   \n",
       "1       3.043084e+10       1.478358e+13  ...                -1.359784e+10   \n",
       "2       3.012222e+10       1.478361e+13  ...                -1.368992e+10   \n",
       "3       2.978323e+10       1.478365e+13  ...                -1.377276e+10   \n",
       "4       2.941981e+10       1.478371e+13  ...                -1.384260e+10   \n",
       "...              ...                ...  ...                          ...   \n",
       "149995  3.950421e+09       1.481055e+13  ...                -9.425949e+09   \n",
       "149996  4.123326e+09       1.481076e+13  ...                -9.394952e+09   \n",
       "149997  4.318283e+09       1.481098e+13  ...                -9.343740e+09   \n",
       "149998  4.541414e+09       1.481121e+13  ...                -9.272190e+09   \n",
       "149999  4.789867e+09       1.481144e+13  ...                -9.179610e+09   \n",
       "\n",
       "                     Pressure Tensor zy                \\\n",
       "                 Std               Mean           Std   \n",
       "0       9.080726e+08       1.513634e+09  6.403260e+09   \n",
       "1       7.774131e+08       1.428573e+09  6.230626e+09   \n",
       "2       6.259734e+08       1.336832e+09  6.048696e+09   \n",
       "3       4.507040e+08       1.235023e+09  5.853759e+09   \n",
       "4       2.570485e+08       1.127174e+09  5.650556e+09   \n",
       "...              ...                ...           ...   \n",
       "149995  6.014705e+09      -5.177773e+09  2.743918e+09   \n",
       "149996  6.262046e+09      -5.058588e+09  2.647215e+09   \n",
       "149997  6.501897e+09      -4.937013e+09  2.541221e+09   \n",
       "149998  6.732523e+09      -4.812951e+09  2.428042e+09   \n",
       "149999  6.954353e+09      -4.685684e+09  2.307675e+09   \n",
       "\n",
       "       Pressure Tensor Kinetic zz               Pressure Tensor Potential zz  \\\n",
       "                             Mean           Std                         Mean   \n",
       "0                    7.178245e+11  2.283417e+09                 1.412591e+13   \n",
       "1                    7.176454e+11  1.632009e+09                 1.412631e+13   \n",
       "2                    7.174492e+11  9.777352e+08                 1.412669e+13   \n",
       "3                    7.172359e+11  3.218677e+08                 1.412707e+13   \n",
       "4                    7.170051e+11  3.343385e+08                 1.412743e+13   \n",
       "...                           ...           ...                          ...   \n",
       "149995               7.148230e+11  2.812314e+08                 1.410559e+13   \n",
       "149996               7.150820e+11  1.719736e+08                 1.410561e+13   \n",
       "149997               7.153249e+11  5.141538e+07                 1.410562e+13   \n",
       "149998               7.155505e+11  8.013261e+07                 1.410562e+13   \n",
       "149999               7.157575e+11  2.223411e+08                 1.410561e+13   \n",
       "\n",
       "                     Pressure Tensor zz                \n",
       "                 Std               Mean           Std  \n",
       "0       1.183573e+10       1.484373e+13  9.552317e+09  \n",
       "1       1.180888e+10       1.484395e+13  1.017687e+10  \n",
       "2       1.176571e+10       1.484414e+13  1.078798e+10  \n",
       "3       1.170957e+10       1.484430e+13  1.138770e+10  \n",
       "4       1.164139e+10       1.484443e+13  1.197573e+10  \n",
       "...              ...                ...           ...  \n",
       "149995  3.738486e+10       1.482042e+13  3.710363e+10  \n",
       "149996  3.806962e+10       1.482069e+13  3.789764e+10  \n",
       "149997  3.872970e+10       1.482094e+13  3.867828e+10  \n",
       "149998  3.935915e+10       1.482117e+13  3.943928e+10  \n",
       "149999  3.996308e+10       1.482137e+13  4.018542e+10  \n",
       "\n",
       "[150000 rows x 59 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pt.dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4912672a-78a9-42a2-8066-4fdd9fa3f482",
   "metadata": {},
   "source": [
    "Note that the Pressure $\\mathcal P(t)$ is readily calculated and provided as a column of the dataframe.\n",
    "\n",
    "Note also that there is a multitude of columns. This is because in dense plasmas it is useful to know the contribution of both the kinetic term and potential term separately, as such the columns of each dataframe contain the kinetic, the potential, and the total value of each $\\mathcal P_{\\alpha\\beta}$ and their ACFs.\n",
    "\n",
    "Let's plot the Pressure as a function of time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a9b597cc-caeb-428b-8fac-7b93356e74e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f1e88535090>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's plot it\n",
    "p_id = pt.total_num_density / postproc.therm.beta\n",
    "ax = pt.plot( \n",
    "    scaling = (1e-12, p_id),\n",
    "    y = (\"Pressure\", \"Mean\"),\n",
    "    xlabel = \"Time [ps]\",\n",
    "    ylabel = r\"$ \\beta P(t)/n$\"\n",
    "       )\n",
    "ax.plot(pt.dataframe['Time']*1e12, pt.dataframe[('Pressure','Mean')].expanding().mean()/p_id )\n",
    "ax.legend(['Pressure', 'Moving avg'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9cce8467-1b38-4637-a2a2-e2f29e9de5f2",
   "metadata": {},
   "source": [
    "## Pressure from RDF\n",
    "\n",
    "Let's now calculate the pressure from the integral of the RDF. This is obtained from the method `compute_from_rdf` of the `Thermodynamics` object. \n",
    "\n",
    "Looking at the documentation of this [method](../../api/tools_subpckg/Thermodynamics_mthds/sarkas.tools.observables.Thermodynamics.compute_from_rdf.html) we notice that it returns five values:\n",
    "the Hartree and correlational terms between species $A$ and $B$ and the ideal pressure $n k_B T$. \n",
    "\n",
    "The total pressure is given from the sum of the three terms and should be equal to the \n",
    "\n",
    "$$ P = n k_BT + P_{\\rm Hartree} + P_{\\rm Corr} = {\\operatorname {Mean} } \\left \\{ \\mathcal P(t) \\right \\} $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6a096ec9-e033-4064-a77e-ead10f6999f2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The relative difference between the two methods is = 0.03 %\n"
     ]
    }
   ],
   "source": [
    "nkT, _, _, p_h, p_c = postproc.therm.compute_from_rdf(rdf, postproc.potential)\n",
    "\n",
    "P_rdf = nkT + p_h + p_c\n",
    "P_trace = pt.dataframe[(\"Pressure\", \"Mean\")].mean()\n",
    "\n",
    "print(\"The relative difference between the two methods is = {:.2f} %\".format((P_rdf[0] - P_trace)*100/P_rdf[0] ) )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "edd1bdf1-a468-4408-8215-349c6ce87023",
   "metadata": {},
   "source": [
    "It seems that we have done a good job! \n",
    "\n",
    "### Sum rule\n",
    "\n",
    "Let's now check that we have calculated the ACF correctly. The equal time ACFs of the elements of $\\overleftrightarrow{\\mathcal P}(t)$ obey the following sum rules\n",
    "\n",
    "$$\n",
    "\\mathcal J_{zzzz}(0) = \\frac 13 \\sum_{\\alpha}\\left \\langle \\mathcal P_{\\alpha\\alpha}(0)\\mathcal P_{\\alpha\\alpha}(0) \\right \\rangle  =  \\frac{n}{\\beta^2} \\left [ 3 + \\frac{2\\beta}{15} I_1 + \\frac \\beta5 I_2 \\right ] ,\n",
    "$$ \n",
    "$$\n",
    "\\mathcal J_{zzxx}(0) = \\frac 16 \\sum_{\\alpha} \\sum_{\\beta\\neq\\alpha} \\left \\langle \\mathcal P_{\\alpha\\alpha}(0)\\mathcal P_{\\beta\\beta}(0) \\right \\rangle = \\frac{n}{\\beta^2} \\left [ 1 - \\frac{2\\beta}{5} I_1 + \\frac \\beta{15} I_2 \\right ] ,\n",
    "$$ \n",
    "$$\n",
    "\\mathcal J_{xyxy}(0) = \\frac 16 \\sum_{\\alpha}\\sum_{\\beta \\neq \\alpha} \\left \\langle \\mathcal P_{\\alpha\\beta}(0)\\mathcal P_{\\alpha\\beta}(0) \\right \\rangle = \\frac{n}{\\beta^2} \\left [ 1 + \\frac{4\\beta}{15} I_1 + \\frac \\beta{15} I_2 \\right ] ,\n",
    "$$ \n",
    "\n",
    "where\n",
    "\n",
    "$$ \n",
    "I_1 = 2\\pi n \\int dr \\, g(r) r^3 \\frac{d\\phi}{dr}, \\quad I_2 = 2\\pi n \\int dr\\, g(r) r^4 \\frac{d^2\\phi}{dr^2}.\n",
    "$$\n",
    "\n",
    "Notice that all three equal time ACF satisfy \n",
    "\n",
    "$$ \\mathcal J_{zzzz}(0) - \\mathcal J_{zzxx}(0) = 2 \\mathcal J_{xyxy}(0) .$$\n",
    "\n",
    "Let's look at the dataframe of the ACF first"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4527d555-bca1-431b-9ba1-329e85e4d7ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure ACF</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Delta Pressure ACF</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure Tensor Kinetic ACF xxxx</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure Tensor Potential ACF xxxx</th>\n",
       "      <th>Pressure Tensor Kin-Pot ACF xxxx</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure Tensor Kinetic ACF zzzz</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure Tensor Potential ACF zzzz</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure Tensor Kin-Pot ACF zzzz</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure Tensor Pot-Kin ACF zzzz</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Pressure Tensor ACF zzzz</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>NaN</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>...</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Std</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.193225e+26</td>\n",
       "      <td>4.406888e+21</td>\n",
       "      <td>7.042465e+18</td>\n",
       "      <td>1.273591e+18</td>\n",
       "      <td>5.099171e+23</td>\n",
       "      <td>2.827243e+20</td>\n",
       "      <td>1.987219e+26</td>\n",
       "      <td>3.916734e+22</td>\n",
       "      <td>1.006467e+25</td>\n",
       "      <td>...</td>\n",
       "      <td>5.096344e+23</td>\n",
       "      <td>8.893208e+20</td>\n",
       "      <td>1.986865e+26</td>\n",
       "      <td>1.015599e+22</td>\n",
       "      <td>1.006103e+25</td>\n",
       "      <td>8.459061e+21</td>\n",
       "      <td>1.006103e+25</td>\n",
       "      <td>8.459061e+21</td>\n",
       "      <td>2.193182e+26</td>\n",
       "      <td>7.651456e+21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6.250000e-17</td>\n",
       "      <td>2.193225e+26</td>\n",
       "      <td>4.406887e+21</td>\n",
       "      <td>7.039566e+18</td>\n",
       "      <td>1.273605e+18</td>\n",
       "      <td>5.099170e+23</td>\n",
       "      <td>2.827093e+20</td>\n",
       "      <td>1.987219e+26</td>\n",
       "      <td>3.917093e+22</td>\n",
       "      <td>1.006467e+25</td>\n",
       "      <td>...</td>\n",
       "      <td>5.096344e+23</td>\n",
       "      <td>8.893161e+20</td>\n",
       "      <td>1.986865e+26</td>\n",
       "      <td>1.015870e+22</td>\n",
       "      <td>1.006103e+25</td>\n",
       "      <td>8.458738e+21</td>\n",
       "      <td>1.006103e+25</td>\n",
       "      <td>8.459131e+21</td>\n",
       "      <td>2.193182e+26</td>\n",
       "      <td>7.648481e+21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.250000e-16</td>\n",
       "      <td>2.193225e+26</td>\n",
       "      <td>4.406876e+21</td>\n",
       "      <td>7.030938e+18</td>\n",
       "      <td>1.273617e+18</td>\n",
       "      <td>5.099169e+23</td>\n",
       "      <td>2.826976e+20</td>\n",
       "      <td>1.987219e+26</td>\n",
       "      <td>3.917447e+22</td>\n",
       "      <td>1.006467e+25</td>\n",
       "      <td>...</td>\n",
       "      <td>5.096342e+23</td>\n",
       "      <td>8.893180e+20</td>\n",
       "      <td>1.986865e+26</td>\n",
       "      <td>1.016138e+22</td>\n",
       "      <td>1.006103e+25</td>\n",
       "      <td>8.458483e+21</td>\n",
       "      <td>1.006103e+25</td>\n",
       "      <td>8.459218e+21</td>\n",
       "      <td>2.193182e+26</td>\n",
       "      <td>7.645642e+21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.875000e-16</td>\n",
       "      <td>2.193225e+26</td>\n",
       "      <td>4.406855e+21</td>\n",
       "      <td>7.016597e+18</td>\n",
       "      <td>1.273627e+18</td>\n",
       "      <td>5.099167e+23</td>\n",
       "      <td>2.826892e+20</td>\n",
       "      <td>1.987219e+26</td>\n",
       "      <td>3.917796e+22</td>\n",
       "      <td>1.006467e+25</td>\n",
       "      <td>...</td>\n",
       "      <td>5.096339e+23</td>\n",
       "      <td>8.893263e+20</td>\n",
       "      <td>1.986865e+26</td>\n",
       "      <td>1.016401e+22</td>\n",
       "      <td>1.006103e+25</td>\n",
       "      <td>8.458297e+21</td>\n",
       "      <td>1.006103e+25</td>\n",
       "      <td>8.459323e+21</td>\n",
       "      <td>2.193182e+26</td>\n",
       "      <td>7.642939e+21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.500000e-16</td>\n",
       "      <td>2.193225e+26</td>\n",
       "      <td>4.406825e+21</td>\n",
       "      <td>6.996570e+18</td>\n",
       "      <td>1.273635e+18</td>\n",
       "      <td>5.099164e+23</td>\n",
       "      <td>2.826843e+20</td>\n",
       "      <td>1.987219e+26</td>\n",
       "      <td>3.918140e+22</td>\n",
       "      <td>1.006467e+25</td>\n",
       "      <td>...</td>\n",
       "      <td>5.096335e+23</td>\n",
       "      <td>8.893410e+20</td>\n",
       "      <td>1.986865e+26</td>\n",
       "      <td>1.016659e+22</td>\n",
       "      <td>1.006103e+25</td>\n",
       "      <td>8.458181e+21</td>\n",
       "      <td>1.006103e+25</td>\n",
       "      <td>8.459442e+21</td>\n",
       "      <td>2.193182e+26</td>\n",
       "      <td>7.640372e+21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149995</th>\n",
       "      <td>9.374688e-12</td>\n",
       "      <td>2.193499e+26</td>\n",
       "      <td>7.464009e+21</td>\n",
       "      <td>-9.260680e+18</td>\n",
       "      <td>2.564085e+18</td>\n",
       "      <td>5.046615e+23</td>\n",
       "      <td>2.590839e+21</td>\n",
       "      <td>1.984372e+26</td>\n",
       "      <td>4.854286e+23</td>\n",
       "      <td>1.002041e+25</td>\n",
       "      <td>...</td>\n",
       "      <td>5.131844e+23</td>\n",
       "      <td>6.688760e+20</td>\n",
       "      <td>1.992652e+26</td>\n",
       "      <td>3.809483e+23</td>\n",
       "      <td>1.010492e+25</td>\n",
       "      <td>8.977493e+21</td>\n",
       "      <td>1.011984e+25</td>\n",
       "      <td>4.153429e+22</td>\n",
       "      <td>2.200032e+26</td>\n",
       "      <td>4.141740e+23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149996</th>\n",
       "      <td>9.374750e-12</td>\n",
       "      <td>2.193492e+26</td>\n",
       "      <td>6.760933e+21</td>\n",
       "      <td>-9.466666e+18</td>\n",
       "      <td>2.228395e+18</td>\n",
       "      <td>5.047103e+23</td>\n",
       "      <td>2.612042e+21</td>\n",
       "      <td>1.984374e+26</td>\n",
       "      <td>4.891900e+23</td>\n",
       "      <td>1.002078e+25</td>\n",
       "      <td>...</td>\n",
       "      <td>5.133477e+23</td>\n",
       "      <td>9.467156e+20</td>\n",
       "      <td>1.992626e+26</td>\n",
       "      <td>3.851990e+23</td>\n",
       "      <td>1.010650e+25</td>\n",
       "      <td>8.148359e+21</td>\n",
       "      <td>1.012135e+25</td>\n",
       "      <td>4.639596e+22</td>\n",
       "      <td>2.200038e+26</td>\n",
       "      <td>4.243933e+23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149997</th>\n",
       "      <td>9.374812e-12</td>\n",
       "      <td>2.193486e+26</td>\n",
       "      <td>6.052459e+21</td>\n",
       "      <td>-9.666614e+18</td>\n",
       "      <td>1.888858e+18</td>\n",
       "      <td>5.047653e+23</td>\n",
       "      <td>2.630856e+21</td>\n",
       "      <td>1.984376e+26</td>\n",
       "      <td>4.929383e+23</td>\n",
       "      <td>1.002119e+25</td>\n",
       "      <td>...</td>\n",
       "      <td>5.135030e+23</td>\n",
       "      <td>1.227036e+21</td>\n",
       "      <td>1.992600e+26</td>\n",
       "      <td>3.893844e+23</td>\n",
       "      <td>1.010799e+25</td>\n",
       "      <td>7.263669e+21</td>\n",
       "      <td>1.012278e+25</td>\n",
       "      <td>5.124653e+22</td>\n",
       "      <td>2.200042e+26</td>\n",
       "      <td>4.345943e+23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149998</th>\n",
       "      <td>9.374875e-12</td>\n",
       "      <td>2.193479e+26</td>\n",
       "      <td>5.334349e+21</td>\n",
       "      <td>-9.857902e+18</td>\n",
       "      <td>1.544056e+18</td>\n",
       "      <td>5.048264e+23</td>\n",
       "      <td>2.647229e+21</td>\n",
       "      <td>1.984378e+26</td>\n",
       "      <td>4.966713e+23</td>\n",
       "      <td>1.002164e+25</td>\n",
       "      <td>...</td>\n",
       "      <td>5.136500e+23</td>\n",
       "      <td>1.509553e+21</td>\n",
       "      <td>1.992572e+26</td>\n",
       "      <td>3.934963e+23</td>\n",
       "      <td>1.010940e+25</td>\n",
       "      <td>6.324277e+21</td>\n",
       "      <td>1.012413e+25</td>\n",
       "      <td>5.608089e+22</td>\n",
       "      <td>2.200044e+26</td>\n",
       "      <td>4.447625e+23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149999</th>\n",
       "      <td>9.374937e-12</td>\n",
       "      <td>2.193472e+26</td>\n",
       "      <td>4.626795e+21</td>\n",
       "      <td>-1.004232e+19</td>\n",
       "      <td>1.194677e+18</td>\n",
       "      <td>5.048934e+23</td>\n",
       "      <td>2.661116e+21</td>\n",
       "      <td>1.984380e+26</td>\n",
       "      <td>5.003741e+23</td>\n",
       "      <td>1.002213e+25</td>\n",
       "      <td>...</td>\n",
       "      <td>5.137886e+23</td>\n",
       "      <td>1.793975e+21</td>\n",
       "      <td>1.992544e+26</td>\n",
       "      <td>3.975644e+23</td>\n",
       "      <td>1.011072e+25</td>\n",
       "      <td>5.330746e+21</td>\n",
       "      <td>1.012540e+25</td>\n",
       "      <td>6.089548e+22</td>\n",
       "      <td>2.200043e+26</td>\n",
       "      <td>4.549231e+23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150000 rows × 815 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Time  Pressure ACF               Delta Pressure ACF  \\\n",
       "                 NaN          Mean           Std               Mean   \n",
       "0       0.000000e+00  2.193225e+26  4.406888e+21       7.042465e+18   \n",
       "1       6.250000e-17  2.193225e+26  4.406887e+21       7.039566e+18   \n",
       "2       1.250000e-16  2.193225e+26  4.406876e+21       7.030938e+18   \n",
       "3       1.875000e-16  2.193225e+26  4.406855e+21       7.016597e+18   \n",
       "4       2.500000e-16  2.193225e+26  4.406825e+21       6.996570e+18   \n",
       "...              ...           ...           ...                ...   \n",
       "149995  9.374688e-12  2.193499e+26  7.464009e+21      -9.260680e+18   \n",
       "149996  9.374750e-12  2.193492e+26  6.760933e+21      -9.466666e+18   \n",
       "149997  9.374812e-12  2.193486e+26  6.052459e+21      -9.666614e+18   \n",
       "149998  9.374875e-12  2.193479e+26  5.334349e+21      -9.857902e+18   \n",
       "149999  9.374937e-12  2.193472e+26  4.626795e+21      -1.004232e+19   \n",
       "\n",
       "                     Pressure Tensor Kinetic ACF xxxx                \\\n",
       "                 Std                             Mean           Std   \n",
       "0       1.273591e+18                     5.099171e+23  2.827243e+20   \n",
       "1       1.273605e+18                     5.099170e+23  2.827093e+20   \n",
       "2       1.273617e+18                     5.099169e+23  2.826976e+20   \n",
       "3       1.273627e+18                     5.099167e+23  2.826892e+20   \n",
       "4       1.273635e+18                     5.099164e+23  2.826843e+20   \n",
       "...              ...                              ...           ...   \n",
       "149995  2.564085e+18                     5.046615e+23  2.590839e+21   \n",
       "149996  2.228395e+18                     5.047103e+23  2.612042e+21   \n",
       "149997  1.888858e+18                     5.047653e+23  2.630856e+21   \n",
       "149998  1.544056e+18                     5.048264e+23  2.647229e+21   \n",
       "149999  1.194677e+18                     5.048934e+23  2.661116e+21   \n",
       "\n",
       "       Pressure Tensor Potential ACF xxxx                \\\n",
       "                                     Mean           Std   \n",
       "0                            1.987219e+26  3.916734e+22   \n",
       "1                            1.987219e+26  3.917093e+22   \n",
       "2                            1.987219e+26  3.917447e+22   \n",
       "3                            1.987219e+26  3.917796e+22   \n",
       "4                            1.987219e+26  3.918140e+22   \n",
       "...                                   ...           ...   \n",
       "149995                       1.984372e+26  4.854286e+23   \n",
       "149996                       1.984374e+26  4.891900e+23   \n",
       "149997                       1.984376e+26  4.929383e+23   \n",
       "149998                       1.984378e+26  4.966713e+23   \n",
       "149999                       1.984380e+26  5.003741e+23   \n",
       "\n",
       "       Pressure Tensor Kin-Pot ACF xxxx  ... Pressure Tensor Kinetic ACF zzzz  \\\n",
       "                                   Mean  ...                             Mean   \n",
       "0                          1.006467e+25  ...                     5.096344e+23   \n",
       "1                          1.006467e+25  ...                     5.096344e+23   \n",
       "2                          1.006467e+25  ...                     5.096342e+23   \n",
       "3                          1.006467e+25  ...                     5.096339e+23   \n",
       "4                          1.006467e+25  ...                     5.096335e+23   \n",
       "...                                 ...  ...                              ...   \n",
       "149995                     1.002041e+25  ...                     5.131844e+23   \n",
       "149996                     1.002078e+25  ...                     5.133477e+23   \n",
       "149997                     1.002119e+25  ...                     5.135030e+23   \n",
       "149998                     1.002164e+25  ...                     5.136500e+23   \n",
       "149999                     1.002213e+25  ...                     5.137886e+23   \n",
       "\n",
       "                     Pressure Tensor Potential ACF zzzz                \\\n",
       "                 Std                               Mean           Std   \n",
       "0       8.893208e+20                       1.986865e+26  1.015599e+22   \n",
       "1       8.893161e+20                       1.986865e+26  1.015870e+22   \n",
       "2       8.893180e+20                       1.986865e+26  1.016138e+22   \n",
       "3       8.893263e+20                       1.986865e+26  1.016401e+22   \n",
       "4       8.893410e+20                       1.986865e+26  1.016659e+22   \n",
       "...              ...                                ...           ...   \n",
       "149995  6.688760e+20                       1.992652e+26  3.809483e+23   \n",
       "149996  9.467156e+20                       1.992626e+26  3.851990e+23   \n",
       "149997  1.227036e+21                       1.992600e+26  3.893844e+23   \n",
       "149998  1.509553e+21                       1.992572e+26  3.934963e+23   \n",
       "149999  1.793975e+21                       1.992544e+26  3.975644e+23   \n",
       "\n",
       "       Pressure Tensor Kin-Pot ACF zzzz                \\\n",
       "                                   Mean           Std   \n",
       "0                          1.006103e+25  8.459061e+21   \n",
       "1                          1.006103e+25  8.458738e+21   \n",
       "2                          1.006103e+25  8.458483e+21   \n",
       "3                          1.006103e+25  8.458297e+21   \n",
       "4                          1.006103e+25  8.458181e+21   \n",
       "...                                 ...           ...   \n",
       "149995                     1.010492e+25  8.977493e+21   \n",
       "149996                     1.010650e+25  8.148359e+21   \n",
       "149997                     1.010799e+25  7.263669e+21   \n",
       "149998                     1.010940e+25  6.324277e+21   \n",
       "149999                     1.011072e+25  5.330746e+21   \n",
       "\n",
       "       Pressure Tensor Pot-Kin ACF zzzz                \\\n",
       "                                   Mean           Std   \n",
       "0                          1.006103e+25  8.459061e+21   \n",
       "1                          1.006103e+25  8.459131e+21   \n",
       "2                          1.006103e+25  8.459218e+21   \n",
       "3                          1.006103e+25  8.459323e+21   \n",
       "4                          1.006103e+25  8.459442e+21   \n",
       "...                                 ...           ...   \n",
       "149995                     1.011984e+25  4.153429e+22   \n",
       "149996                     1.012135e+25  4.639596e+22   \n",
       "149997                     1.012278e+25  5.124653e+22   \n",
       "149998                     1.012413e+25  5.608089e+22   \n",
       "149999                     1.012540e+25  6.089548e+22   \n",
       "\n",
       "       Pressure Tensor ACF zzzz                \n",
       "                           Mean           Std  \n",
       "0                  2.193182e+26  7.651456e+21  \n",
       "1                  2.193182e+26  7.648481e+21  \n",
       "2                  2.193182e+26  7.645642e+21  \n",
       "3                  2.193182e+26  7.642939e+21  \n",
       "4                  2.193182e+26  7.640372e+21  \n",
       "...                         ...           ...  \n",
       "149995             2.200032e+26  4.141740e+23  \n",
       "149996             2.200038e+26  4.243933e+23  \n",
       "149997             2.200042e+26  4.345943e+23  \n",
       "149998             2.200044e+26  4.447625e+23  \n",
       "149999             2.200043e+26  4.549231e+23  \n",
       "\n",
       "[150000 rows x 815 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pt.dataframe_acf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49023915-cffb-448e-b2ec-0dc6e0bd8203",
   "metadata": {},
   "source": [
    "Notice that in this case we have many more columns since now we have the ACF of the kinetic-kinetic, kinetic-potential, potential-kinetic, potential-potential, and the total ACF of each pair of elements.\n",
    "\n",
    "Let's verify the sum rules."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9672990c-5b2c-4ef4-a579-8e0b9fd7c01e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The isotropy condition : (J_zzzz_0 - J_zzxx_0 )/( 2*J_xyxy_0 ) = 0.9814\n"
     ]
    }
   ],
   "source": [
    "# Diagonal terms\n",
    "column_zzzz = [\n",
    "    ('Pressure Tensor ACF xxxx', 'Mean'),\n",
    "     ('Pressure Tensor ACF yyyy', 'Mean'),\n",
    "     ('Pressure Tensor ACF zzzz', 'Mean'),\n",
    "]\n",
    "J_zzzz_0 = pt.dataframe_acf[column_zzzz].iloc[0].mean()\n",
    "\n",
    "# Cross-Diagonal Terms\n",
    "column_zzxx = [\n",
    "    ('Pressure Tensor ACF xxyy', 'Mean'),\n",
    "    ('Pressure Tensor ACF xxzz', 'Mean'),\n",
    "    ('Pressure Tensor ACF yyxx', 'Mean'),\n",
    "    ('Pressure Tensor ACF yyzz', 'Mean'),\n",
    "    ('Pressure Tensor ACF zzxx', 'Mean'),\n",
    "    ('Pressure Tensor ACF zzyy', 'Mean'),\n",
    "]\n",
    "J_zzxx_0 = pt.dataframe_acf[column_zzxx].iloc[0].mean()\n",
    "\n",
    "# Cross Off Diagonal terms\n",
    "column_xyxy = [\n",
    "    ('Pressure Tensor ACF xyxy', 'Mean'),\n",
    "    ('Pressure Tensor ACF xzxz', 'Mean'),\n",
    "    ('Pressure Tensor ACF yxyx', 'Mean'),\n",
    "    ('Pressure Tensor ACF yzyz', 'Mean'),\n",
    "    ('Pressure Tensor ACF zxzx', 'Mean'),\n",
    "    ('Pressure Tensor ACF zyzy', 'Mean'),\n",
    "]\n",
    "J_xyxy_0 = pt.dataframe_acf[column_xyxy].iloc[0].mean()\n",
    "\n",
    "# The units of J's are [Density *  Energy]^2\n",
    "\n",
    "print('The isotropy condition : (J_zzzz_0 - J_zzxx_0 )/( 2*J_xyxy_0 ) = {:.4f}'.format( (J_zzzz_0 - J_zzxx_0)/(2.0 * J_xyxy_0)  ))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc268b3e-f5ee-40f4-9552-6cf53fcfec51",
   "metadata": {},
   "source": [
    "Not exactly 1 but pretty close.\n",
    "\n",
    "Let's now verify the sum rules. These are calculated from the `pt.sum_rule` method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b88e02cd-7769-412c-9922-1acb1dca6c5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# These sigmas have units of n^2\n",
    "sigma_zzzz, sigma_zzxx, sigma_xyxy  = pt.sum_rule(postproc.therm.beta, rdf, postproc.potential)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "97e331be-8ac7-4375-8c23-9bd3d656db8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2.1932e+26, 5.0955e+23'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"{:.4e}, {:.4e}\".format(J_zzzz_0, nkT**2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92baa663-f704-4be5-9f0c-a8fdeaa34724",
   "metadata": {},
   "source": [
    "## Viscosity\n",
    "\n",
    "The shear viscosity is calculated from the Green-Kubo relation\n",
    "\n",
    "\\begin{equation}\n",
    "\\eta = \\frac{\\beta V}{6} \\sum_{\\alpha} \\sum_{\\gamma \\neq \\alpha} \\int_0^{\\infty} dt \\, \\left \\langle \\mathcal P_{\\alpha\\gamma}(t) \\mathcal P_{\\alpha\\gamma}(0) \\right \\rangle,\n",
    "\\end{equation}\n",
    "\n",
    "where $\\beta = 1/k_B T$, $\\alpha,\\gamma = {x, y, z}$ and $\\mathcal J_{\\alpha\\gamma}(t)$ is the autocorrelation function of the $\\alpha,\\gamma$ element of the \n",
    "\n",
    "The bulk viscosity is given by a similar relation\n",
    "\n",
    "\\begin{equation}\n",
    "\\eta_V = \\beta V \\int_0^{\\infty}dt \\,  \\left \\langle \\delta \\mathcal P(t) \\delta \\mathcal P(0) \\right \\rangle,\n",
    "\\end{equation}\n",
    "\n",
    "where\n",
    "\n",
    "\\begin{equation}\n",
    "\\delta \\mathcal P(t) = \\mathcal P(t) - \\left \\langle \\mathcal P  \\right \\rangle\n",
    "\\end{equation}\n",
    "\n",
    "is the deviation of the scalar pressure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "75b34546-3647-4e6f-8410-b9797e069bfe",
   "metadata": {},
   "outputs": [],
   "source": [
    "tc = TransportCoefficients(params = postproc.parameters, no_slices = 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0773352d-9438-4a5c-b336-76aecdb4f0a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data saved in: \n",
      " Simulations/yocp_kappa2/PostProcessing/TransportCoefficients/Production/Viscosities_yocp_kappa2.h5\n",
      "Simulations/yocp_kappa2/PostProcessing/TransportCoefficients/Production/Viscosities_slices_yocp_kappa2.h5\n",
      "\n",
      "No. of slices = 2\n",
      "No. dumps per slice = 30000\n",
      "Time interval of autocorrelation function = 9.3750e-12 [s] ~ 7205 w_p T\n"
     ]
    }
   ],
   "source": [
    "tc.parse(observable = pt, tc_name = \"Viscosities\")\n",
    "# tc.viscosities(pt,plot = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "df9e1b52-c9ad-46b8-977b-841b03b907cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "acf_str = \"Delta Pressure ACF\"\n",
    "acf_avg = pt.dataframe_acf[(\"Delta Pressure ACF\", \"Mean\")]\n",
    "acf_std = pt.dataframe_acf[(\"Delta Pressure ACF\", \"Std\")]\n",
    "\n",
    "pq = \"Bulk Viscosity\"\n",
    "tc_avg = tc.viscosity_df[(pq, \"Mean\")]\n",
    "tc_std = tc.viscosity_df[(pq, \"Std\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "818f7c85-4af0-4b53-a3c5-d4d23041a5f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(-0.5, 1000.0)]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x504 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = tc.plot_tc(\n",
    "    time = tc.viscosity_df[\"Time\"].iloc[:,0].to_numpy(),\n",
    "    acf_data=np.column_stack((acf_avg, acf_std)),\n",
    "    tc_data=np.column_stack((tc_avg, tc_std)),\n",
    "    acf_name=acf_str,\n",
    "    tc_name=\"Bulk Viscosity\",\n",
    "    figname=\"{}_Plot.png\".format(\"Bulk Viscosity\"),\n",
    "    show=False\n",
    ")\n",
    "axes[0].set(ylim = (-1, 1.05))\n",
    "axes[1].set(ylim = (-0.5, 1000 ) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "be184e5f-18c7-4752-8fc3-c8375b5e57f8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Time difference $\\\\tau$ [ps]')]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Poaqqil27FC9m167dyMrKYvXqVQAkJSUxcuQoFi/+Rpt9N3HiJLZs2az1cRo6dDilpSVajkv37j1IS2vHunVrAEhNTWPYsOEsWrQQm82GyWRi4sRJbNjwPYWFBQCMHDmKgoJ89u/fF1A79et3oTaAefv27fz5z08KO4W4ndTr6c03X6d37z7CTiFuJ/V62rx5E48++kdhpxC0U220Ikz6duxCekIS3+1U7FGYX8DChQvo338AJfbfv56Fi74iMSauVdtpn90W1V4KNRYuXNAidmoISW6BAHZsbCwzZ85skgdO5eabb+bAgQNs3rwZs9kMwDfffENZWRk9e/YkPz+fGTNmsHfvXnbt2kVKSkqD5xswYCDLlq08j5+icRYuXMCkSZMD+h4C/yJsZiyEvYyFsFfo8snyb3nmrVe4bsyVjB86iinPKd62yaOv4G9TpgFw6ORxrv3DA07Hffn8a3TJym7x9bYkL817l7cWfMzQPv3ZuGu72+s7Pvq6RdZx1VVXsHmz5yklIel5mzZtGmvXrmXt2rWacAOYMGGC037Dhg2jS5cuvPvuu0ybNq2ll+lGampasJcg8BFhM2Mh7GUshL1Clyq7pys6IsopMT8qIlJ7XOyhdYi3cGtrwiorfd5CuWAh5MTbI488wrx581ixYoXXcKhKbGwsffr04cCBAy20uoYZNkw0pDQawmbGQtjLWAh7hS6V1Yp4i4qIJCk+QdteX1+vPS4pL3M7ri2ItzZdbdocpk6dykcffcTy5cvp2bNno/tXV1ezd+9eMjMzW2B1jaPGugXGQdjMWAh7GQthr9BF87xFRtKtQycuHTgEcK5CLSl3z3lTj2vNqNWmei9kqBHQViHbtm1j27Zt2Gw2jh8/zrZt2zh+XElknDlzppNAe+ihh3jnnXeYO3cuSUlJ5OXlkZeXR7nuj+fRRx9l1apVHDlyhI0bN3LjjTdSUVHBnXfeGagfwydUtS4wDsJmxkLYy1gIe4Uu6tQEVaBce+lYwFW8KWHTS/oPZmT/QUDbEG+yTSkFiI2KCfJKvBMw8bZ582YGDhzIwIEDqaqq4umnn2bgwIE89ZSSFFlYWMi+ffu0/WfNmkVZWRlXXHEFmZmZ2r8XXnhB2+fkyZPcdttt9OjRg+uvv56IiAg2bNhAp06dAvVj+ITJFFKOTEETEDYzFsJexkLYK3RRw5/RkYp4i4yIAOC7Td9rwk71vPW/oCdJcfGA5+a+rQ3V8xYX41m8hcJNScBy3saMGdNgJ+bp06czffp07XlTil7nzZvnj6UFjIkTJwV7CQIfETYzFsJexkLYK3Rx9bzpQ4T/+vC/PPmrh7SChaS4ePKLzgJtw/OmirM4L543q73tSzARt0V+ZMOG74O9BIGPCJsZC2EvYyHsFbqoIkwVbZHhEdprq7dtAqC4TBFviXHx2n5tQbxZbUq1aUx0NBNHjHF7PRQ8b0K8+RG16aLAOAibGQthL2Mh7BW6qNWmMfbxlXrPW97ZAu792xMcOqXkqCfGxWvirsrDWK3Whk1WxJnZZOK53zzG47+83+l1VdwFk5BrFSIQCAQCgSCwqGHT6EhFvFl0PVUBp+a0iXHxREXaxVub8Lwp4s0kKf4t1xBpvTX44k143vzIyJGjgr0EgY8ImxkLYS9jIewVuriKt/TkVK99zRJj4xxh0+o24HmzOTxv+v+rWIV4a10UFOQHewkCHxE2MxbCXsZC2Ct0UcOmarVpRHg4/330GY/7JsbGExXeBj1vJs+et1AImwrx5kfUwcIC4yBsZiyEvYyFsFfoUuHieQM4ceyY1qxXT0R4uLZfpZdh7a2Jxjxv9VZRsCAQCAQCgaAFsdlsThMW9PzhjvvISkt3OyY9ORWA022gCMUmPG9ti169egd7CQIfETYzFsJexkLYKzSprq1FlmUiwyMwmxyFCr169SY7oz0v//4pt2M6tMsA4GR+XoutM1hYXTxvbuJN5Ly1LuJ1w30FxkDYzFgIexkLYa/QpLK6EnAOmYLDXqmJSdq2Kdffpm0LDwujuLy01YdObXbPmslr2FSIt1bFxo2iIaXREDYzFsJexkLYKzRxLVZQUe2VGBtHTmYWnTLa88D1twMgSRJpickAFBSda8HVtjwOz5vilVRbhqiofeCCiejzJhAIBAJBG8JTsYIek8nEZ8+96jYGKjUxiVMFZzhbUkynzKwWWWswaCznbeu+3XTrENyZ6sLz5kfS0zOCvQSBjwibGQthL2Mh7BWaqGHPGBfxprdXmCXMaWSWsn800PrbhbjmvLmGTf/69swWX5MrQrz5kUGDBgd7CQIfETYzFsJexkLYKzRxnWuq0pi9IsLDAahu5SOyGvO8hQKhtyIDs2jRwmAvQeAjwmbGQtjLWAh7hSb19UrCfZjFOXOqMXtFRqiNelu3eGvM8xYKhN6KBAKBQCAQBIx6az0AZpd5po2hTlmoqav1+5pCCeF5a2OEeZkLJwhdhM2MhbCXsRD2Ck3qXTxLKo3ZSwubtjHPm8nkm8htCYR48yPjx08I9hIEPiJsZiyEvYyFsFdoojaZtbiETRuzl1rA0NZy3kTYtJWzbt2aYC9B4CPCZsZC2MtYCHuFJmrY1OLiUWrMXqrYq6uvD8zCQgR1/JXW502It9ZNUVFRsJcg8BFhM2Mh7GUshL1CE9Xz5prz1pi9wi1KWLW1ize1Ca/meZNCTyqF3ooEAoFAIBAEDHW8k8XHgoUwzfNW5/c1hRI2mwyASZKU/wvPW+tm9OhLg70EgY8ImxkLYS9jIewVmtR78bw1Zq+wNhI2bSznrWtWdouvyRUh3vzIqVOngr0EgY8ImxkLYS9jIewVmqg5XWFm54KFxuwVHqaGTVu358292tRZKiUnJLT4mlwR4s2PHDp0MNhLEPiIsJmxEPYyFsJeoYnapNdsdpYAjdkrzJ7zVtvKxZvD86Z4Jl2rctWwajAR4k0gEAgEgjaEazVlU1E9da09bOr4/SgSybUqV0aIt1ZFnz79gr0EgY8ImxkLYS9jIewVmjgKFpw9So3ZSw2b1ta1cs+bS7Wpa2GHLDxvrYuoqKhgL0HgI8JmxkLYy1gIe4UmWp83F1HSmL3aSsGC22xTV/EmPG+ti82bfwj2EgQ+ImxmLIS9jIWwV2hitdrFiUvOW2P2Cmsrfd5srp43kfMmEAgEAkGb5HRhPgVF54K9DC2ny1WUNEbb6fPmKt6cpZJsD6sGE98sJ2iQ9u2zgr0EgY8ImxkLYS9jIezloN5q5eYnplJaUc7W97/wuVjAn9TZw6aua2jMXm3F86aFTSXPnjc5+I434XnzJ/36XRjsJQh8RNjMWAh7GQthLweV1VUUl5dik20M+MVkpjz3FDW1tUFZi2MwvbN4a8xe4WFt1fPmEjYNAc+bEG9+ZPHib4K9BIGPCJsZC2EvYyHs5cBVqK3bvoUvVy8Lylq0alMXz1tj9mozfd5cZ5u6hU2D73oT4k0gEAgEggBTXVvjtq2orDQIK/E+mL4x9NWmoSBgAoXNpdpUbZGiEgo/e0DE2+rVq5k8eTJZWVlIksScOXOadNysWbPo3LkzkZGRDBo0iDVr1jRrn2AREREZ7CUIfETYzFgIexkLYS8HNXXuIdJgiYB6m+fB9I3ZK9zueTuZn8cVD/2SP8z8Z2AWGGSsbrNNzcyb8R/+NmUaALbWKt7Ky8vp27cvL730UpP7/MyfP5+pU6fyxBNP8OOPPzJixAgmTJjA8ePHfdonmFx55bhgL0HgI8JmxkLYy1gIeznwlN9W60HQtQSO8VjO4q0xe6met9q6OgqKz/HN+lWtsmGv2gpEP5C+T5cL6JHTBWjFnreJEyfy7LPPcuONN7oNdPXGiy++yF133cV9991Hr169eOWVV8jMzOS1117zaZ9gsnr1qmAvQeAjwmbGQtjLWAh7OfAUNl36w/ogrETXKsQl560xe4VZ3BtUnCst8d/CQgQ1bCpJzvpFQgJasXjzldraWrZs2cK4cc6qf9y4caxfv77J+wSb0lb4R9zaETYzFsJexkLYy0GNBw/V0dMng7ASfbWpsxhrzF5qwYKesspy/y0sBJBlWStYMLs4n0ym0BFvIdHnrbCwEKvVSnp6utP29PR0li1b1uR9XJk9ezazZ88GIC8vj4ULFwDQq1dv4uMT2Ljxe/s5Mhg0aDCLFi0EICwsjPHjJ7Bu3RqKiooAGD36Uk6dOsWhQwcBZQZcVFSU1pG6ffss6uvrtfeIiIjkyivHsXr1Ku2CGDPmco4ePcLRo0cA6N9/AGazma1btwDQsWM2PXr0ZNmyJQDExMRy2WWXs2LFcioqlAtk7Nhx7Nu3lxMnlFDxRRcNwmq1sn37NgBycjqTk9OZlSuXAxAfn8Do0ZeydOkSamqqARg/fgI7dvxEbu4pAAYPHkJVVRW7du0AoGvXbmRlZWl3YUlJSYwcOYrFi7+hzv4BNHHiJLZs2cyZM3kADB06nNLSEvbs2Q1A9+49SEtrx7p1Sk5iamoaw4YNZ9GihdhsNkwmExMnTmLDhu8pLCwAYOTIURQU5LN//76A2qlfvwu1qqrt27czadJkYacQt5N6Pe3evQsVYafQtZN6PW3evEnYyW6nnccPa3+7vbO7sNv+vKCwgKJz51rUTqfzTgOwd88eavLPAsr1dPz4ce07zJOdsnNycGXV2tXsi/up1dip3t7DTpIkNm7c4HQ9HTt6FIDSslIOHToYcDs1hCQHWELGxsYyc+ZM7rrrLq/75Obm2o2xmlGjRmnbn3nmGebOncvevXubtE9DDBgwkGXLVp7vj9Mg5eXlxMbGBvQ9BP5F2MxYCHsZC2EvB99+v5rHXnmOcUMv4V9T/8Qlv76VkvIyVr3+EcnxCS26lgeee5q12zfz6mPTGT3wYm17Y/aqq6/nol/+zGnbq489zeiBQwK21pZG/RnNJhPbPvjK6bXDp07ws8emkJPZga/+9UbA13LVVVewefNmj6+FRNg0NTUVs9lMXl6e0/b8/HzN09aUfYKNemcpMA7CZsZC2MtYCHs5UHPeIsMjAIiPUURSaUXLhx29DaZvzF4WsxlJkpy2VdW45/IZGdcGvXrUbaEwHiskxFt4eDiDBg1i6dKlTtuXLl3KiBEjmrxPsBEfVMZD2MxYCHsZC2EvB2q1qdozLC46BoCyIIg3tWDBtdq0MXtJkqS1C1Gpsoc7WwvaaCwP48tU2RoKrUICkvNWXl7OwYNKTNdms3H8+HG2bdtGcnIy2dnZzJw5k5kzZzqFOqdNm8Ydd9zBkCFDGDlyJK+//jq5ublMmTLFp30EAoFAIAg1qu3iTfW8xUZFA1BeVdnia7FaFYHi6nlrCuFhYU496zxV0RqZpnneWql427x5M5dddpn2/Omnn+bpp5/mzjvvZM6cORQWFrJv3z6nY2655RbOnj3LjBkzOH36NH379mXRokV06tTJp32CSf/+A4K9BCdKyss4mZ9Hny4XBHspIUuo2UzQMMJexkLYy0FNnSJyIsLDAYi1e94qgiDe6r0Mpm+KvVwrTquqW5l4U0djuYSH9YSCeAtI2HTMmDHIsuz2T520MH36dI8//IMPPsjRo0epqalhy5YtjB49uln7BIvCkmLWbd8SEoYFePrNl7j1/37H6h83BXspIYuv42EEwUXYy1gIezmoqVUqITXxFkTPmzrb1LVvW1Ps5ToqSnjegkNI5Ly1Fqa/9QpTnnuKtdu3sHXvLqa/+TJFur45x06f4mR+HvuOt0weyHeblBLmFVs2tMj7GRG1DF5gDIS9jIWwlwPV8xYZpoRNY+zTh8orgxA2VXPeXARKU+zVdnLePIg3uzeu1ea8tVUO5+cCsPSHtew8dIADJ44CMP2+hzl48hjX/eFBbd93nnyOwb36BmwthcXntMeu1UECgUAgaFnUnDfXsGlQPG9exmM1BVfPW2urNlUrST153iRNvIlq01ZJeWWlJtzU/+uFG8DL898N6BoOnzqhPT50KjRmv4YiHTtmB3sJAh8Q9jIWwl4OarSCBeewaTBy3rTxWGZn/01T7OUaam2tnjeT5F28EXzHmxBv/kKNk4N73x79ayo/7t/NR4u/ctvuL86cO6s93nfssHaxCpzp0aNnsJcg8AFhL2Mh7OWgxp4bFh7mLN7KKitafC119Z77vDXFXm0550143loh6sUAkHe2wOm1Al0IU8/f332dhWtXBGQ9Z84Vao8rqqrYcXBfA3u3XdSRPAJjIOxlLIS9HFS7et6iVc9bVYuvxVsvs6bYyz1s2jo9bw3lvImChVaE3rN1LC9Xe1xZXc3pwnzteXZ6e97+87OM7D8IgEXrVwZkPXrPG8DbC/4XkPcRCAQCQePUaDlvodDnTR1M34yct1ZesKAKM0+eN4R4a31YPYRGAQqLi/jJ7vW64uLhfP3vNxnSpz8P33QHWZH1VJ71Tz7aii0bOHjymPZc9bxNHn2FfR3Ffnmf1kZMjJi7aCSEvYyFsJdCTW0tG3ZuAxyetxhNvLV82NRbn7em2Mu10jIYnsNA0lDOm7pNiLdWhKe8NoDi8lKe/+AtAKIiIqGuCtPWN+m7/rd8NyyfD7tuw/TDTDiPP4Zdhw/w8L/+yv1/f1Lbll+keN6G9R2grUPgzmWXXR7sJQh8QNjLWAh7Kby94H9anlRIVJuqnjeXnLem2EvCuXtBMFqdBBKbPYrmsc9bCLUKEeLNT3jzvOm5sVcGlk9uxrx5FubKM5TWm7DKYN72NqYN/2q2gFMrS/OLzrJx13aqa2s0z1v37M4AFJcJ8eaJFSuWB3sJAh8Q9jIWwl4Kr332kfbYNWwanGpTz+OxmmKvSaOU6Ukj+l0EuBfoGZ2Gct60goUmfN8HGtHnzU+oaj0lIZGzJcX2rTLxFpnyeon7Otcy9OB/kGQrckp3rEMf4Zp/vEpvKZdZF5Zi3vEhRCRgu+g+n99bXxBx79+eoFNGewqLi5AkiS7tO2CSTJRXVVJXX+9W5t3WqWhlHzytHWEvYyHs5U6Ua85bEDxXWtjURbw1xV6TRl5Gtw6d6Nguk+H33kRZZTmyLLeafqK2BnLeQulnFJ43P1Fvda7eiTLZmDewkB8uyePH0ad5pNNZJNmK9cI7qb/2A+QOw4iPiWfF2UiO95+GjIR58yykA4t8fu+CIudqVrVgQpZlwixhJMQqeQwlFWXn8yMKBAKB4DyJiogE9DlvlS3uyVGb9Lr2eWsKkiTRK6crsdHRxERFYbXZWlVkZ+WWjQBUVrvn8olWIa0QfW+YGy4bz42ZlQxIsM+yM0ERsdSP/Se2Yb8Ds1KtE29PDj0Z0xvb0N8BYFnxZ8xLfo+U92OTw6j6tiB6kuLiAUi0/781XWD+YuzYccFegsAHhL2MhbCXO6p4s5jNxEXHIMsyJeUtd2Nts9k08eEaGvTVXp0zOwJwSNcU3ujM/N/7AJwqOOP2mqNVSIsuySNCvPkJ/ay4P95xH48OiAPgtzuTuGR9Ol92mIbc5UqnYxJilX1KKsqxXXgH1mHTkM3hmI4ux7LgHiyf/xxpz2dQeqrB91bDpikJiU53UnOeeg6ApLgEAOYt/ZoDJ45SWFLkh5+4dbBv395gL0HgA8JexkLYy9EiRCUqMkJ7nJqYBMDZ0uIWW4+jWMHiFgb01V7dOnYC4O6//pF/vPtGq28GL2nVpsLz1mqw6ZoeRp9aQ0TFKeSoFBL7TsYWmcJlF490O0b1vJVWlIMkYbvwDupv/QrrwHuRIxORCvdgWfNXLPOuwbzyaahyDo9+u2EN0998mWOnFXH3/vQXuHKo4306ZWaBLNMjXmZEUjWHf/iMp2bcxx//MgW58lxo3D4EmRMnxOgwIyHsZSyEvaBIF/H49bW3OrXnUMVbYXHL3VCr+W5hHnq8+WqvrlkdtccfLl7A8s0bzm9xIY6qdW224H93iux1P6FV75gkzOsVj5ftol/zZO+beMpLkqMm3sp1SaIx7bBd/BC2gfdycOXryIe/o5cpD9P+BUjHVmO7+AFsncdCVDIvz3+XE2dOK+9rNpORkkZOcixDE2voEVtH+Oq/IJ36gadj8qC//p0L4YMrkCPikRM7Q2IOckoPbNmjIT7L778bgUAgaKucs3vVumd35rc33+H0Wkq83fOmFbkFHsdorPP/+k9PTnV6fvDkMa4c4u6oaC1ofd5CYLipEG9+Qs0h6B9TjlR1DjkhG1vvmxqsTnHyvLliiWDKF1s5c87KY5N+zt0JezCd2oh57d8xr/07cmQSz2ZWcDrZjE2GzNhwouZfw9SKPBhgP8f+BQBUmePYXliDWYJos0ykSSYnIRxzTSnSme1wZjsApvXPI3e5EuvAeyClh99+N6HMRRcNCvYSBD4g7GUshL3QJuxkpqS5vZaSkAjA2RZMZfHW4w18t5e6fpWSstZdFOdoFSLEW6tBHTfSO0oRYraOlzh8rF6Iszdp9NYnRy1E+KmwCuttr2E7tBjTvs+RzvyEVF3ExYn6vaugogTZHIktqSukdoeUnshpfbAldmPhe7P5ZPm32t5v/PEvjLggG6noCFLxEaS8H5GOLMd0eAmmw0uwZY/G1v9O5IyBjf4cRka1m8AYCHsZC2EvyFXFW2o7t9fUG/iWbBeihk09ed58tVecy0SG1jak3hWHM0aIt1aDGjbtHqmMOpHT+jR6jHrhllW6izd948baujqQJORuV2HtdhXINvbv2ci/Z/0fKWE2zBJcdOFQfnbtFIjvCC4jT8KBp+/9LbuPHGT3kYMA/HRoP0P7DcCclYacNQT63AIV+Zi2v4tpz2eYjq/GdHw1ckwGtk6jkbNHIbe/GCwRtCa2b99Gx47ZwV6GoIkIexkLYS+HeGvvQbyp7ULKWnBEVn0Dc019tVfPTl24bdwk5i5ZCEBNXW0jRxibUPK8iYIFP6EWLHQKV0SXnNp42LGhsKmaywaQd7bA6TWrLPP7t+ew9lwkX56J5rO8aKqzRkFijptw0/PCw49rjSFf/eQDnntvtvMOMe2wjXiM+tu/VoomYtohVeRh3v0xlm9/i+W9MZjW/A2Kjzb6swkEAoEAcgvsnrc0d/EWF93yUxbq/ZjzJkkST9z1AM8//DjgXllrRCLClPFl/5r6J7fXtFYhIeB5E+LNT1htNiRkUix2t3Fc+0aPcRVvVpuVp2b/h7lLFnI419E352R+nvb4XGkJ85Z8zdHTJ53O1a9b42KxY3om9193q/Z87pKFWvKqE1HJ2C5+iPrbv6H+2g+wXvRr5NReSPXVmPd8QtjH12H+9mGkUxubVbF6+NQJ3lrwcUhc6Dk5nYO9BIEPCHsZC2EvR85bVgOet5YNm3rPeWuuvSLClN6ltXV1zV9YiKC28LqwW0+31yStz5sc9OH0ImzqJ2w2G0lhNsIkGTkiASxRjR6jircdh/aTd7aA/KKzfL5yKZ+zlDEXDdH2K6usoKKqkpioaO579s/sP35Ee23y6Cu46fIJ9O7crUnrTElIcnr+8L/+ymt/fMbzzpIJuV0f5HZ9sA1+AIoOY9r5Eab9CzEdX4Pp+Brk2Exs3SdjG3B3k0Oq/573Diu3bOSlee/ywzufak0rg4H4cjEWwl7Goq3by2qzajfaHdMz3V53zDd17+YfKBrKeWu+eFO8Va0hbKr9fjyElfUFiMEeCSY8b36i3mYlPcLeuC/G/Q7LExm66qM/znyeI7kOb9rKrT8QHham/XEUFhdRVVPtJNwAHrn1LgZ079Xkdca7JJiu3b6ZAyeONs1tn9QF26j/o/7n32Ad/KASVi0/jXnrG1g+u02ZCtEIxWWl2vgRgB/37W7y2gPBypVicLaREPYyFm3dXifO5FFVU0NGSpo26UaPY0RWYHLenv/gLW5+4mGnUU+OViHu4qS59gq3i7fW4HlTfz9hXsLKodIuRIg3PyHbbCRYFPEmRyY26ZjoyEiy0tIB2LpvF8fzTju9PuLCi7jQHg49W1LMiTN5Tq9/+fxrpCYm+7TOQT370rdLdx684efatuv/+BAP/nN6008SmYTtovuUsOrVbyAn5CAVH8Gy4B7MK5+Cslyvh/7qb084Pd95eL9P6xcIBAKj8NaXHwNQVVPt8fXYaMd800Dw3qLP2XP0EGu3b9G2OZr0+i/wpoZNW0O1aUNhZQidRr1CvPmRGLt4Iyy6yce8P/0FQHHHrvvJcYGZJBP3TLrR0YG7pMgpzy0iLJzsDN8b6sZGRzN3xr954Ibb6ZrlqCraum8XRaUlvp1MMiFnDaH+hnlKXpzJgmn/V1jm/wzT2meh3FmMfrfpezfP4Y/79vj8M/iT+PiEoL6/wDeEvYxFW7fXmm2bAc9DzgFio5R2UYESbyr6cGadVm3qLt6aa6/w8NbjedNGXXoVb6psEjlvrQIZiDHbjRkW0+Tj0pKSSYyNp7i8lF2HDxATFcUX/3wNkMhISeXrdSsAJWyqJr6mJ6fy1K8e8npn0FSS4hNANzZ1/4mjDO3T3/sB3rBEYBv8ALbukzBveQPpwCLMu/+Hac+nyB0vwdZ1HHK7vmzYsdXt0F2H9wc1d2D06EuD8r6C5iHsZSzaur06tMvgXGkxf73/EY+vO3LeAive1G4I4Kg29RQWbK69Iu1h01bheat3zH71hMkkgTX4njch3vyELMuaeJN98LwBJMUr4g2gZ6euTrlwaoFBYUkRP+5X8sOm3/dbLuk/+LzXnJboXLxw5myh2z6yLPPdpvUM6N6r8RBtfEesl82AAXdj/vFtpMNLtX5xAE/KElNHSoSHhRMZHkFJRTmynIf5vcsxhUcjx3WA+Czk+A7I8R2REzpBQjZYAlfQsHTpEq68clzAzi/wL8JexqIt22v3kYP8dFAZ9N65fQeP+0RHKp9tFVVVWG1Wp7mn54uTYNM131Wr/CPs3jI9zbVXRLhSrGZ0z5vNZtOmJZlNngOTEvZeb0EeTi/Emx+JNqth06Z73gCS4xO1YgXXRo4pdoF1ujCf3UcOIkmSxxLm5nD9ZeNZtmk9VqvyB6vO4NOz+sdNPPKfZ+mV05WPn325aSdO6or18mdh+KOYDnyNdHorUsFOzJWFJIXJQDXUVpMcZt+/phhqipHKcsElXU5Ggrgs5MQc5KSuyBn9lWbB4bH4gxovuSiC0ETYy1i0ZXs989Yr2uPEWPdiBQCTyURMVBQVVVVUVldrU3f8gd4Lpg/bVttDqGqFqJ7m2isyvHV43hz5bhav0SCTSW0X0mLL8ogQb35C73kjrPE2IXqSdXkG7V0aOabaZ8et/nETdfX1dOvQya1itLkM6zuATXM+452vPuWl+e9yzkPO25erlwGw5+gh398gKhnbhXfAhXdQXVvDiLuvIylC4tuX3iHMYuHZOa+xeMMafn/7r5g8dAhS2Umk0lNQdhKp5DhS8VEoPalsLzsJJ9bCTyBLZuR2/ZDbD0bOGICcfiGEx53nb0MgEAj8hzrNBiAxzvvnU0xUNBVVVVRUVfpVvFXV6MWbQ5TV2AVWZLj/puWoXrxQ6N15PjRWrKCgijfheWs1xFh8z3kDF/Hm4nlLT04FHI18fWkL0hTMJrOS+wYexduyTev98j5nzhZSJ0uExaUTFqf8jGmZ3ThXt559BSWQ2Ak5sZN7Cqi1DkqPIxUdRjp3ECl3E9KZnzCd2QZntgF271xyN2zp/ZEzBiJnXgSxGU1a1/jxE/zy8wlaBmEvYyHspdBQL8u4qBjyOev3ogV9hWtFtePcDYVNm2svfZ+3YPc/Ox8cPfC8izfheWtlyECUSc1589Xzlqg9bm9vHaKS5fJ8YPfezVpfw++viLeiMmfxtm3/bqcu0udzUariU+1eDY48ENdpEU6YwyCpqxIy7XIl8ADUliHlbkbK24Z0ZhtSwW6kcwcwnzsAez5R1hrfEbn9YGxZQ5XZrZFJHk+/Y8dPXHTRoGb9TIKWR9jLWAh7KTT0uemYsuDfXm/OYVOHkFM9cp48b821l8lkIsxioa6+npq6Wr969VoSfdjUGyLnrRUSZhdvmMIa3tEFvaBx7cKdEBtHVESkdhc1sIf/xVtSnF28uXjevt+5zel5VU2NlmDrK2X2DyZ9WKBz+44AHDp53LeThcch51yGnHOZ8ry+BqlwtyLm8rYh5W1FKj2BVHoC097PFc9cak9FyGVfgpzeH0zKn35u7inx5WIghL2MhbAXTi2ZPBEbFZheb1V6waZ7XFJRBrg3bIfzs1dkeIQi3mqNK96sWhsV7543/YisYCLEm7+QZcLUmyuzb+ItJzNL+7+rp02SJIb2uZCVW38gKy2dDu2aFg70hWQvYdPtB/Y6Pa+qqW62eFM9b/oPjE6ZWVjMZk4VnKGmtpaI8HAKis6Rmpjkm4fPEqGESzMGKs9tVqSze5FObUI6tQEp70ekwj2YC/fA9jnIEQnI2Zdg63QpFlvbTagWCASBQZZlTJIJm2zj/WdeaHDfmCglUlPu5xFZejGoD5seOaXMzc5MTXM75nyICA+nrLKC6toaEjBmDrIaNm2o6tdkr0IV4q0V4fC8+fZrHd5vIP955M8M7NHH4+v/eOgxlmxcx5A+FwYklyBJC5uWattsNhs/2cWbxWym3mqlsrqKFHsBha+U2j1vevFmMZvJTG3HiTOn2bTnJ2w2Gw89/wy/uekO7r/uVm2/r9Yup2O7DAY0NWRsMiOn9UFO6wMD7oL6akXAnViP6fhqpRjiwNeYDnzNJMmCvGglcqdLsWWPgrj2zfr5BC3D4MFDGt9JEDK0VXtV19Zgk21EhIU3WoSgTlnwd6839YYZnMOmh04pkY5eOV3djjkfe0W0ghFZTSlYcIRNW/GEhVmzZtG5c2ciIyMZNGgQa9as8bpvTk4OkiS5/bv66qu1faZPn+72ekaG/z1RzUGWZSyqrvJRvJlMJq64eIRT4YKemKhorhtzpZtXzl/ERkVjMVuorK7S8iTOnCukrLKC5PhELbxZqUuAlWWZlz9+j89XLm3Se5TZP0hcP8g6tlPCxA889zQPPf8MADP/9772+r5jh3li1r/49d+f1GbO+YwlErnDcGzDf0/9LV9Sd/PnWIf+DlvGQJBtmE5+j3ndPwibezWWeZMxr/4L0uGlUG/ssvfWSFULDvAWnD9t1V6qEFO9ag0RF63c0JaWlzeyp2/oxZs6+N5qs3IyXxmz2DHd/Ub1fOylhkqN3C6kKeLNUbDQSj1v8+fPZ+rUqcyaNYtLLrmEWbNmMWHCBHbv3k12tnsOwKZNm7R4M8Dp06cZNGgQN998s9N+PXr0YOXKldpzbyMsWhoZmTCpeTlvwUaSJJLjE8gvOktRaQmZqe0oKD4HQEZKqjYDr0rXK+jQqeO8+cV8ACaPvrzR5pIV9mOjXT7MGgsDH7a7+Ktqqjmce4Ie2Z19+Mm8kJiDLTEH+t/Jki/nMr5XLKZjq5BObnDOlQuPw9Z9ErbeN0Nizvm/r+C82bVrB507++FvQNAitFV7qWIpOrJx8ZYQaxdvFYETb5U1ynqOnT5FXX09malpHlNgzsderaFdiKPatCFpFBqtQgLmeXvxxRe56667uO++++jVqxevvPIKmZmZvPbaax73T0tLIyMjQ/u3aNEi4uPjuemmm5z2s1gsTvulpfk3bn8+aGFTH3PeQgG1IOKVjxWvV2FxEQBpicnaB5De9X4011Eh2pQ7RjVhNsblw8y1r50rpwrPaI8PnTzW6Pv4Sq05Brn7NVivfIH6O1dSf+0HWIc8jJzaC6m2DPPOuYR9fB3mr6cg7fsSKs/6fQ0CgaB1ofbHbIrnLSFGyQ9TCwn8hV68HTxxjKqaanYfUfp19srp5tf3Aofg+dOsf/n93C1FfRMKFkKlVUhAxFttbS1btmxh3DjnMRvjxo1j/frG+4bJsszbb7/NL37xC6KjnUdNHT58mKysLDp37sytt97K4cOH/br25iLLOAoWDOZ5A+hkH3L/1drlgEO8pSYmaXdo+i7dR3Tirbi84Q+dPUcP8cG3XwKOsniV8cNG0SnD3X2vDgc+le8QbwVFRU37YXyga1fdh5jJgtyuD7YBd1N//UfUXT8XW8/rkM2RmE5txLJqOmEfjMX8+S8wbZ6FlLcNbM0M5QqahZO9BCGPUewly7LfPF9Wm5U3v/wYaMyDo6B2Gyhp5HPUV1x/nmn/+TsH7TfAPTt18XjM+djrzDllvOLR0ye1z2+joUb/GixYsA+mb5WtQgoLC7FaraSnO+dopaens2zZskaPX7p0KUeOHOHee+912j506FDmzJlDz549yc/PZ8aMGYwYMYJdu3aRkpLidp7Zs2cze/ZsAPLy8li4cAEAvXr1Jj4+gY0bv7evK4NBgwazaNFCAMLCwhg/fgLr1q2hyC4YRo++lFOnTnHokNI1u0+ffkRFRbF58w8AFFRXMMTueVv7/fdUxhVy5ZXjWL16FaX2Ks4xYy7n6NEjHD16BID+/QdgNpvZunULAB07ZtOjR0+WLVsCQExMLJdddjkrViynwn4hjh07jn379nLihJJ0etFFg7BarWzfvg2AnJzO5OR0ZuVKRYTFxycwevSlLF26RBt9Mn78BHbs+IncXGUq/eDBQ7h3wvX87tV/EBkWzu7duzh55jQARQUFVNQpOQwbNm2kOl/xPB3OPaH9nr9Z8g03XX0tpaUl7NmjzF/t3r0HaWntWLduDfPXf6ftu3/PHhZW1GAymZg4cRInDx9hyuXXsGLnVpb8tEnb75PPPmHwwEFOHr5d+3Zjm/Cz87JT+/ZZ9Ot3IYsXfwMoF2uvXr0bsNMABl52I3Fn1lG3fylpNUcwF+yCgl2w9U1qpUjOxfQgdfD1rD0mU1QjBdROVVVV7Nq1A1A+aLOysli9ehUASUlJjBw5isWLv6HOnjQ8ceIktmzZzJkzSp7L0KHDvdoJIDU1jWHDhrNo0UJsNptmpw0bvqewsACAkSNHUVCQz/79+4DAXE+udoqIiOTKK8dx9OgR7ZhQvp7aup3U66mqqpKOHbND3k5r9/7Eoh838M8HH6W+qPS87BSjm6ZQYv9MachO4cmJABw6eoSFCxf4zU75LrOq127fTLU9SlJwWlm/6+deaWmJ9j3pq50qKx0FF+/O/YB2CUmGu55WrVkJQIX99+Tpeqq2R5GOHD2CySoH9HpqCEkOQNZdbm6u/Ze7mlGjRmnbn3nmGebOncvevXsbOBpuuukmjh07xg8//NDgfuXl5XTp0oXHH3+cadOmNbjvgAEDWbZsZZN/Bl9Z/eMmMpY/RJ+4Ouqu/whS/TsJIdDIssywX91EZXUVa96Yy3/mzeHTFYv5v7sf5MCJo8xftogn7nqA28ZNAuDevz3Bxl3bAXjjTzMY0W+g13NP+ceTrPtpKwDvPf28x151u48c5JY/T9Wef/HP1+iS1ZFJ037N8TPKwNPJo6/gb1MatrOvLFy4gEmTJjf9gLoqpNOblcrVk+uRSpx71MkpPbBlDUPuMAw5c5AhQ+ihjM/2EgQVo9ir3+1KYVynjPYsfPHN8zpXYfE5LnvwDkBp//TVv2Y3uP+Og/u4/alp9O7cjfl/e+m83lvPfc/+mQ0uvTqvuHg43236nhd/9wRXDhnpdsz52OuSX9+qeQ+n3non906+uZEjQo+VWzby23/9hVEDBjPrD8943OfK395F3tkClrz8DpmpDaf9nC9XXXUFmzdv9vhaQDxvqampmM1m8vLynLbn5+e7eeNcyc/P58svv+TVV19t9H1iY2Pp06cPBw4cOK/1+ovmNukNBSRJIjs9k73HDjPq/tu07amJyZwqUEKX+rDpWd0Q+8pGStwL7CHYSZdcRv8Lenrcp3fnbix44Q3+/Nq/2HFoP4dzT/D8B29qwg3gbEmxx2NblLAo5OxRyNmjsAGUnsB0fB3SibXK1Iez+zCf3Qc/vYsckYit6zjkbhOUxsAGHRkjELQVwj0Ma/cV/UzRplTIh4cp3xe19f5tseEpDFxi9ygl+Gk+th69H6jSoFXGZVVKS6vYBtq7qB/jrbJVSHh4OIMGDWLpUuc2EkuXLmXEiBENHjtnzhwiIiK49dZbG9wPoLq6mr1795KZmdnovoFHJlxqXp+3UMF1ugNAenIKUVrOm6Ng4VyJo6GvfrsrsixrpemP//J+rcGhJzq370BGilKAMu0/z2reOpWzxf7PeUtK8jw2q8nEd8TW91asE2YqBQ8TX8Pa/y7kpC5INcWYd3+MZcHdWOZNxrTlDSjLbfycAq+ct70ELYrR7BUV4X0ygM1mo1jXC9MbevF2w2XjG90/zKKIt/rmtkLywKGTx9l95KDbdtUzpp/qo+d87DX2Ysd3+5tffsyHixc0+1zBQu1RF+lh7quKmvMW7FYhAas2nTZtGnPmzOGtt95iz549TJ06ldzcXKZMmQLAzJkz6dnT2QsjyzJvvfUWt956K3Fx7n9cjz76KKtWreLIkSNs3LiRG2+8kYqKCu68885A/Rg+YTFwwQJ4btvRPbsz0RH2atMaR68g/YdYRbX3u6yt+3ZRWV1FYmy81w8MPSkJ7h8eF3ZT/k4KS/wv3kaOHNX4Tk3FEoncYRi2oVOpv/ET6m6Yh/XCXyJHpyGVncS85XXC5l6NeeH9SAe+hnpj3p0GE7/aSxBwjGYvVUh54uk3X+bSKT9n2/49DZ5DPxD+nsk3NvqemufNj81tP12xWHv8j4ce0x4fOHEU8C7ezsdej9x2t1Mv0n+8+0azzxUsVBuEN/B3oNJqxdstt9zCf/7zH2bMmMGAAQNYu3YtixYtolOnToBS1LBv3z6nY1auXMmBAwe47777PJ7z5MmT3HbbbfTo0YPrr7+eiIgINmzYoJ0zmMiysVuFgLt4e/zO+wkPC9OqTdWJC8VlZU6VNvrRK658vExJvLxq+OgmrWFInwvdtr3x+F8Bxdunr2KqrK7ieN75ebKakhjaLCQJUnpgG/YI9bd/Q/3EWdi6TUA2R2DK/QHLiv/D8v44TOtfgBIfZ7u2YQJmL0FAMIK99E1lG5pg88WqpdhkG1+sargxuSrehvS+sNH+lxCYsGl+kaOl0dUjx7iJNU9zTeH87JUYF8+DN/zcaZvNFtyKTF+ps9ugIRHfJsZjPfjggzz44IMeX5s+fTrTp0932nbZZZc1+AuZN2+eP5fnV2T9bFODhk314u3ZB37PNaMuBxy9in46uI/Dp064lYE3lN+w3h76vGPCz5q0hisGD6ddcgr555QPn8sGDSM2OprE2HiKy0spLivTRnQ989ZMFq1f6bUIoinUtcQoF5MZucNwrB2GQ00ZpkOLkfYvwJS/A/PODzHt/Ai540hsfW9F7jAcpIAOPjE0LWIvgd8wgr2KdDOdm9KuQ21g7o3aOqVJbUQDoTc9qpfHn5439edQk+5jo6KdfraoCM8zqs/XXlEujX9r6mq9vlcoogrosDDv3+EmqQ2Mx2prmNWcNyk0pj74Su/O3YiOjCI6MorhFzqqRy/omKM9/mL1Ui2HTcVbzltJeRnF5aVER0Z5zKfzhMlkYvq9D2vP05NTAeVDANCmOgAsWr8SgO82N947MGSIiMPW+0as176n9JHr/jMwh2E6sRbLN7/B8vH1mHbOhVr/dlsXCASe0YuxwkaEGTQusmrsr0c0sfhBnWBT50fPm5rWot7oxrr0Sw3EjGxwb8JeXWOsUVl1dUreYUNhU/V3F2yvojFdRCGIjIxJvR4M6jlJjIvn47+9hMlkIlWXe3ZBxxyS4uIpKivlna8+5R0+dTrOW87bsTylT0+njPY+fVjoxaKaQNwpoz17jx3mw8ULePzO+50unKaEJrwxceKkZh973qT2xDpmOgybimnv55h2/Q+p5Bjm9f/EtGkmtu7XYOtzqxjNpSOo9hL4TCjb63RhPrO/mE9SXLy2raislNq6Oi2UqaKPCDUW3lTHQzW1cjUQOW9llUrVpDpLWt8seMnL73g97nzt5Tq72mhzTrWct7DGxRsIz1urQXJ7YDw6ZWZ59JL9+lr36t/O7TsAjiHMrhyz56Nle5ig0BAZKalMuuQyJElizEVDAfjdrXcBykVVV1/PjX/6rba/t/dvClu2eO6h06JEJmEbcA/1t31F/djnsWUOQqqrxLxrvjKaa9FDSMfXQJA7eocCIWEvQZMJZXvN/OQDPln+rTYNQUWdFKBHL0LKKioaPK/qQYsIb1rusyqsrDab3yYTuIo3fci0od5k52uvSJdq3WqDzTmts9rDpg3krUsibNq6kGVZp9la36/V0wV/9cjLAOf+b3rUYoLsJoZM9Uy/92G+/c9/uahnHwCG9h2ASTJRV1/P5yuXaFVTAPlFjYc6vKF24A4JTBbkLmOxXvMWdTfMd4zmOrkey7cPY5l7NabvX1DGcrVRIRdS9hI0Sijba+WWjR63e/o800cXGsuLU1M8mlKxCIoYUD09TekL1xiyLFNun3agjiNs6uit87VXTmYW3bMdg+1bo+et1bcKaYto3tRW2Iw1y8MA+YHdlSkS3nLe1Ny4jum+ed5ASfbVD623mM20S05BlmXWbt/itK++sqrVkNId6+inqP/5t1iH/g45NhOpPA/zjg+VvnEfjse07jmk/B3Bn5AsEBgQb3NHq1zytE6cOc2M/zqaxheXlzb4xV1TqwqApjf81RctfLpiMc+89YrmwdtxcB8rtmxo8rkqq6uwyTaiIiK1fLqKFmqaG2YJ49N/zNSasRsp523fscP8dFDpgGE2e5dGwvPWypBlfbS09Ym39mnOkzEmDB9NnL3c3FvOmzrcvl1Ssl/WkGlv4Lt5jzLjTg2lHjp5nLyzBSz7YZ3PSaRDhw73y9oCRmQCtv53Un/bQuonv4O138+RYzOQKgsx75qH5YtfYvnkZky75kOtfwdbhyIhby+BE6FsL4vFc66sq7for/99le82fa89r62rc+rl5opWbeqLeNPy3mqZ/ubLfLL8WzbsVMYPPvbKczz8r79y+FTTWgqV2b1u+vyz396sjOv6xVUNV/37y15qhalRPG+yLHPjn37LrsPKtCZTA3nUatRn39HDLbE0r4iCBT8iqQmMrdDzFh8Ty8DuvamsqeL96S8QERaueda85Zyds5fgqxVP50tWu3R+3L9by+cY1LMvF3TM4cCJo1z527sAeOpXv+GmKyY0+ZylpSWkpaX5ZX0BRTIhZwxAzhiAbdjvkQp2Ix36BtPBb5CKDmJe9w9MG19C7jYBa+8bDTdbt6kYxl4CILTtVeUSMRjcqx+b9+zQhNmBE0fp0C6D73f86HZscVkZ0S6VlSpqQUNDoTdXVC9dmW64+zNvvYLFbNbGE57MP0OXrOxGz1VWqVSq6ytM75hwLRd268HgXv0aPNZf9lJz34wi3lw9k+YGJgGpvP3V/5g8+opALalRhOfNb+iqTVuh5w1gzlPP8fHfXiYqIhKTydTo3dVZ+0SEZD+Jt2yX8GtqYhIX93b+MPrm+1UcPnW8yWX3e/bs9svaWhRJQm7XB9vwR6m//Vvqr3gOW/uLkeqrMO39jLDPbsf8+S+Q9n3Z6qY4GNJebZhQtZfNZqNcd9P5+h//ot1k7jp8gHXbt3D9Hx/iufdmO00NUCkqK3HbpqLlvPkg3tRxTEdPn9S2nTlXqAk3gHpr0/Lh1Jvp2CiH5y0iPJwhffo3OJ4Q/GevqHC7eDNI2NT1+8LUhI4Rjf0uA40Qb4GgFXreQPlj1f/BNnR3ZbPZKCpVeg0lxSX45f1dPXgpCYncePlVTts27d7Bzx57gCn/eAqrzcoLH77FvX97wjB3gD5jDkPuOg7rpNnU3fwZ1r4/Rw6Pw1SwC8uq6Vg+GIdp/T+hKLgufoEglCirrNDy1j545l+M7D9Iuxl94/N5THnuKUAZM+WpgKGhAoDaWt89b2pD30MNhEabmrfmCJtGN7Jn4FC/GxoKLzdEWWUFR3JPNr6jn3Ct8m2K5+2yQcMCtZwmIcSbn3CuNm2d4s2VSN3dlWsCb3G5MkIrITZOS5o9X5LjHSIwOjKKqIhILuiY4/FD8ofdPzHgF5N59+vP2bhrO/OXLvJ4zu7de/hlbSFBYmdsIx6l/hdLqB/zDLZ2/ZBqyzHvnEvY/27A/NW9SAe/Bauxyvf1tCp7tQFC1V6lFUposX1qOy253ttQek85vcXl3gfUqzOgXRvWNkREmPLeJxuo9mxoDKHTflXOlaa+4C97qd8NVc28aX70pX8w+dH7+engXr+spzHqrc650g151W4ZOxHAqRdqMBA5b35CpnVXm3oizGLBYjZTb7VSb613mgd3rrQYcBZc54t+aH1aouNx5/Yd2HfsSIPH7jvm2fOU5qGK1vBYIpG7T8bafTLWwr2Ydn+C6eAiTKe3YDq9BdkUhpzSHRJykOM7IMdmQEw75Jh2EJMO4bEh+zfcKu3ViglVe6niTT/z01uzb0/Nc4vKvIs3tU1HtA/iSe0Jpw+Tup23if0sXXu8+YK/7KV63nYfPsiKLRt89lKt36GMVVy3fSsXduvZrDXsPnKQe//2BE/c9QCTLrmswX198bypVcpiwkIrwmHu0PziCwSR4RGUV1VSVVNDmCWMT5Z/y/qftrL0h3WAs+A6X/Rh0xSdeLt+zHj+/u7rDR7rrZ3IunVrmDRpsl/WF5Kk9sQ2+v+wDfudIuD2fI50di9SwS4o2OXxENkSqYi56HYQnYIckQAR8RCRgByZaBd66RDTDsKa7l3wB63eXq2MULVXiV286Qe0N7UXGkBJmfd91TBrczxvDYm3isqmhU1V8eg6Eqsp+MteUeFKCHrBmu9YsOY73v7zswzp09/n85zPyLBXP/mAssoK/jTrhUbFW71Lf72GPG/qa/5qqNxchHjzE7KsH4/VhsRbhCLeqmtrqKyu4pm3XnF63V8hU3AWb3qX9U1XTKBbh2xmfzGfjbu2ezxWbVvijWOnTzF3yUJ+Nfkm0vzU2iSkCI/F1vtmbL1vhtoypMJ9UHoSqewUUnkeVOYjlecr/6+rhJLjSCWNtyaQw+MgJh05ph1yYifk5AsguTtyclewGGcgtaBtUepBvDWWFxsTFcWwvgP4btP3FJWV8v2OH+nduRsJsXHIskxNXS2R4RFamNUX8aYWLJzKV8TbqAGDmTDiUmZ/Po+jp5Uxg031vKnh1eiIlr2x0qOGTVUOnDjWLPF2Pt+l+eea3v/TN8+b4qGttwrx1jpwyvlqQ+JNl/e249B+t9eH9LnQb++lL83XfziEWSwM6dOfj7/7Rtu25OV3GPfw3drzwhLP4i01VSmLf/nj91iycS219XU89avf+G3NIUl4HHL7wdB+sOfpfLXlUHGG8oKjrNu4lGHdupAULkNNCVJVkUPoVZxBqi1TxGDRQTi5XjuFLJkgNhM5IRs5PhsSOyEndkZO6gLRac3+UFbtJTAGoWovT+Jt3NBLtIiBK53bd+CLf77GovWr+G7T93yxainzli7kqmGjef7hP/L3d19nwZrvmDfjJa2wICaq6eJJbRVis09O+eXE6xjWdwCzP5+n7dPUMYBqk+HoSN9vnvxlL9cxWcFArfptCr7kvKmvibBpK0HWjytqY543UPIsHn/1eafX/jZlGhNHjvHbe+mH23uqYho94GIWb1hDdnp70pNTGdi9N+VVlRw8eYyS8jKPA6eHDVOaUi7ZuBaABau/a/3irTHCYyE8lv8uWcub3+zgskExvPz7J933k2WoKYbyfKSKPKSiw0jnDiCd3Q/FRxWvXtkp4Hvnw8JikRNzIKETcnwWcnwHSMhGTsiGiMQGrx/VXgJjEKr2Kq1Qwp7xsQ7xNnbISF597Gn+OPN5Ny9XTGQ0JpOJxDglR0710n27YTXPP/xH5i5ZCMAXq5ZqIstbHzhPqJ43lUR7Ll5yQqLmeSuranimqor62ahWz/qCv+zl6nlrrj9DOg9HiC8dBtw9b96b9DrCpkK8tSpsbWxSkdrPZ+VW9zmBgWhg2DE9kxNnTjslGqtMGDGaiuoqxlw0BJPJxHvTn0eWZcb+5k7yi85ytqTIbUbrokULmThxkvY82HkMocQ3368G8D6aR5IgMgkik5BTeyB3utTxmrUWyk4hFR9DKjmOVHIUio4gFR9BqilBKtgJBTvdTimHxyEndIT4jnavneMxkUks+uZrJ3sJQhvX6ytUKC1397xZzGZGDxxCTmYHdh52jiKoXrTE2PgGz1tXX8/ZkmLAt+bkES7iTf18e/yX93PzEw8Dvnjemi/e/GWvKBevXzD6vdXUNt3zZnUJgTbkeTMLz1trQ7b/t+143cDhedt5SBkrEmaxkJ6cyq8m3xSQ95t22918tOQr7r/uNrfXwixh3DbO+YNHkiRSE5PILzrLmXOFbuLN9QIMdh5DKHFevwtzOCR2VkKl+u2yDNVFSEWHHTl3Jceh9ARSyQmk2jKkgt1Q4N4sVA6LZTRxmJetcQi7mHbI0SkQlQKRidCE5pqCliPYX3DecIRN3W8CPY3NUsVIYpy7eNNfJyXlZdTU1RITFeWj583ZU6WKt145XZk34z/c+n+/0woRGkOdNe0qoJqCv+w14ALnClFv86890ZSB72u2bSYjJZULOuZ43afaB/Hm+lnXUM6b8Ly1NtrocHD1Q2ft9s0A/OGO+7j1ysDdaY8dMpKxQ0b6dExOZgd2HznI7iOHGNC9N6B8SEmSBJLkVona7/arWfHaB0Hv4xNsXO9G/YIkQVQyclSye86dKuxKTygFE6UndMLuOFJtOUmUw+HTHk8tmywOj11CDnJiJyU0m5ijeAjbUDpDqBDsLvTe8JTzptKn8wVs27/HaZtafODJ8/bfr/6nPVY/S9ISfSt60nvJwsPCnJ6r/dqa2qRX9bxFN8Pz5i97ZaSkkRAbp1Xwemp07A39JAlPUyXyzhbw4D+fBmDHR197PU+ND2FTV/EmNfBZITxvrQxJbpueN1fXfE5mhyCtxDs9OnVm0fqVnDijfOnnnS3klj9P5ZL+g4iNjuZPD/3S7ZhPly/m/utubemlhhR19foPUatWZRUw9MIuvb+7sKspRirRCbvSk1BViFR5FioLkWpKoFgJzcIqp1PL4XGOPLvEHOVfQg4kdFS8hIKAEIohU9D1efMg3n593a3kFuY7pQvERCoCKiYqSuttqfLKx+9rj9XPmFSfxZvD85aVlu4kHmLtIdumVpueT9jUn/Z67+nn+dljUwDfWn7U1Dr29dRjr6DonPZYlmWvQssXz5gv1aaa500W1aatArVgoa3535LjE52ed+vYKTgLaYDMFKWCau6Sr3j4ll+y+scfOFdazII133k9pqn5Ja2N4rJSVv34A1cOuYSSCkcvq9KKcr82XPYZe37d99v2MmzYJM/XWX2VIuyKjyGVHEMqPgYlR5XntWVI+Tsgf4fTIbJkgrgs5IROSl5dfAelcXF8B4jLEsLuPNmw4fuQLFpQPUKePG/J8Qm8/PsnufqR+zh+Jhdw5LxJkqT1tvTEyXxlQoKvXnt9iDUrLcPpNYfnzUfx1oywqT/t1SWrIw/f/Ete/vg9pxvBxtBXiXqqGNV7B9X2LA3RlJtO95y3BgoW7KkZcpAT3IV48xOSLuetLfne2ul6oo29eERIhhoz7OLNarMx5O4bvO53+eDhdO2QzZtfzNeSjtsaL3z4Nl+uXsYPu39yyj0pLisJrnizU1hY4P1FSxSk9EBO6eHutas6pxRNFB9TiiZKjiEVH1WKKkpPKKHaE86nk5GUHnbxHZxFXXwHJd8uouHkdUEj9goiDYVNVfSV6Xpx1ZRcqobO6wm90GrvkpcbGR6BxWympq6Wuvo6p0k2nqiqVsKFzfG8+dte7ZJTAHwTb7rfr6fUDb03rqq6ulHx1pRQsC85b2aR89a6kAnNxNxAo29oe881NwZxJd5JT05t0n6pCUn0t49iOeulL9z733zBF6uWMfPRp9yKH4zO2ZJivly9DFBapuhpaBxQyCNJyqSI6BTIHOQs7Ky1UHICqeSoEpItO4lUqvyjPE9pgVKRB6c3u51WjohHTuyCnNYLObUXcmpvSMyBBu7aBaGBp/FYrjiLN4cQ8pSH5Yrea90U9A1127uMqJIkiZioaErKy6ioqiIxrmHxps5W9TartSVRm7T7It70LT48FU3V6kKwVTU1NOYuMDWhiMk1bCr6vLUlZPV/bc3zlqI9zmqX0cCewaOpExNy2mdp5f3ePG//fP9NABauXcF9197ij+WFDJt2/+T1teIQEW8jR47y7wnN4ZDcFTm5q3so1lYHZaeVitjSE0p1rCrsSk8i1ZQindkGZ7Zph8iWSMXzl9pTEXQp3SGxC1iC/0UaDPxur/PEarOybvsWyqsqkSSJ2Abmj0aEOULmnoa8W8xmrhszjv/pmoOr3D3Ju4ffEw153gBi7eKtrLLCY8WrHq1gwYdqVxV/20v1EtZZm57zduDEUe1xnQehrPfMqULV9XU1fN1UXD18otq0LaEVLLQt9Im5SY18qASLMIuFGVMeobC4CJNkIjujPc/Oec2pyvTmKyZy/Zhx2h25J/GmDnwGOFdW4vTapt0/8dgrz/HkPb/hiotDL8enKezXfWi6Eiqet4KCfJKSWig0bwrTmgfLuNhUlqHqrNKUuGC38q9wD1L5aaQz2+GMY0ybLJkgqStyu37YMvojd7wEolrhCDYPtKi9msDXa1fy59dfBJTB7Q15WPSeN/2oq9TEJAqLi0hPTvWYSvDsg7+nT5cLfFqXvjK0fVq62+tNzXuTZfm8wqb+tleYfYh7fX3Tkvs37dnBoy//Q3vuKWyqL37wVMX6zFuv8NXa5drz6toa3vh8HlcOGUGXrGyP71tva/qEBVFt2upoa7JN4YKOnbjnmhvp3L5Dg+XVweZno8c6PT9XWsxf3p4JKKGTJ3/1EAAW+4dNQfE5bDab00V8+JQjKSrPJTfkzS8/5mxJMb/794wGy9dDGX0Vlyuh4nnbv38f3bv3CPYy7KHYVOToVOQOOmFXXYRUuE8RcoV7kc4dUIoozh1AOncA097PkJGQ2/VF7nQptpwximcuhK+d8yFk7GXnB513ubG8NG85b39/8FFe+PAt/jZlGmu3b3E7bsAFvXxel/783jxvAOWNtAupravDJtsIs1iaVR3ub3v5GjZdbG8MruIxbFqnF2/u/eP0wk1l5v/eZ+b/3vf62ew6mL6hmdxqMUOwG7oL8eYv2mirEEmSeOS2uxvfMcS44bLxPPfebGrqap08hhHh4Vp/og27tjOi30DttWP2MTUApwrOOJ3PVzd9KFJUWuK2rV1yCvnnzoaM5y3kiUxC7jAMucMwx7b6akXI5f+EdOoHpNxNmOyVr+ZNM5HjO2LLHo2c0R85Y4Ay+1UQEPQ5buc8/L3rcfK86eaUDus7gE/+rtz4bd3naCY9oHsvfjnxOjqmZ/q8Lr1Y8DSZQX3/u//6R17/418Y2X+Qx/OonqjmeN0CgSbemhg2rXDxpHnyvOkrUH3pH9cQrkJMHzJ3RfO8ycLz1kpom61CjIrJZOLrf7/JU6/9m3uuvdnptYE9erNyy0aOnT7lJN6+3/mj9vjQqeO8+skHTBwxhg07t2n9nQB2HNxHv26h421oKkVl7l9mPbI7k3/uLMt+WIcsyzx048895v+0FL169Q7aezcbSyRyxgBFmF34S6irRDq5AdPRFUjH1yCVnsC880PY+SEAcmJnbFlDkNsPQc4cBJHBr/JtLqFmL33YsbEv/nDdF7i3/DF9ztwVg4dzpY8NxFU6ZbTn8sHDuaBjJ48hO/37THnuKa8eJHUofXPFm7/tpUYymup5c/V46YtDbDYbyzd/z5Nv/Efb5svkhoZwFYmuM7D1qAUQIuettaC1VWhbnjcjk56cyoxf/460NGdPR7esTqzcslHLfwNYuWUjC9eu0J7X1tXx+mdzeXvB/9w+mO6Y/ijbPvgqsIsPAKonIjwsTAtN9OzUhTXbNpNbmM/733xBZEQED9/s3tS4pYgPgXYl501YNHLny7F2vhxs9Uh525ByNyHl70A6sx2p+Ajm4iOwa77iyU/pga39YOSsIcgZAyHctzYUwSTU7KW/phvDqWDBi3iLi47RHiedx89qMpl4adr/eX29qTdMjmKF5ok3f9vL17BpmNlZNOnDpm8v+B8vf/ye0+uVNf4Rb645b7FRMV72DJ2ct9CcXWJE2mjBgtHZuPF7t21qLoz+g/7bDY5cDP3oG08fSlabjf3Hj/pxlS2D6nnTV7O5Jl6/+cV8nwY++xtP9jI0Jgty+8HYBj+AdeIs6u9cSf3kd7AOmoItcxCYLEhn92Le8QGWbx/G8u4YzF/ejWnLG3B2f8iP5Qs1e+mb6z5w/e0N7huu66emF2l6YvXiLYAFW97e35Xzma4A/reXr+JNH54GZ/HmKtwAqnwMm3oTXKrnbWD33rw//QVio72L5VCpNhXizU9IbXQwfWskLkb5oCzXVZfqh0JfNXy0x+MiwyO4+YqJACz7YV0AV+h/auvqqKiqwmI2M6T3hdr2wb36ue37+aol1NXX8fnKJeQW5PP4q8/zrUuicaCx2WzM/mIeG3dtb3xnI2EKQ84YgG3Q/ViveYv6u1ZTf/XrWAfeiy1dsYvpzDbMW14n7NNbsPzvBkybX4fSk0FeuDEoq1Cu6b/8eioP3NCweNOH8OK8FDeonxXgeWi9v3D1vHkb3h56OW/2ViFNHI/lKvIa66nnq+fNNafudGE+H3/3jfY+PXO6MKB7wwUnoeJ5E2FTP+HtYhKENunp7r3pHJVdDsF2LE8pVnjjTzPIK8z3eK4P/vIvdh8+yMffLQr5Aobaujru+ssfqKqtYc6Tz2mNMRPj4vndrXeRlpjM7eMne2xievDEMRauXcFTs1/Stn29bqVXUetPVHtt3LVdmylp1OreJmGJRM4aipw1FHgIasuQcjdjOr4W6chyJcS69Q3MW9/A1mE4tp7XI+dcqrQ5CQE8XV/BpKxS8ab3v6BXo9Xx+h5i3io34508b4ELEbv2o/v3vHeYdts9bvudb86bv+2lCuCS8jLu/dsTXHHxCG4b531+qvo5NLRPfzbu2u6x2lSPawuSxr6HyysrnLyYU557isOnTtCva3cAzE2o0A2VJr3C8+Y3hOfNiAwaNNhtm+oyV71tNbW1nDhzGpNkYlCPPh4nK4y9eAQ9sjuTZu+RVFDsve1GKHD41HF2HNrPwRPH+Of7b2qVpolx8aQnpzLt9nvISFEmU/Tu3M3p2PnLFjkJN5XGPmj9gWovVUyD/5KWDUF4HHLOZVhHP0n9HUuon/Aqtm5XI5vDMZ38Hsuyx7B8OAHTD69A6anGzxdgPF1fwaTMfk03JQw5esDFAAzXFS25om830tRJLs3BNZz4zleferzeHGHT5jWF9re91KKPc6UlbNy1nWfnvNbg/mpKxgUdcwDnQoLO7Tu47e/qmfM0C1VPWaVznzy1/dOOQ/uBhpvzqoTKeCwh3vyGyHkzIosWLXTb5up5O3jyGFabjZz2WUSEh5PloYlmcnyi0/89VW6GEvoGxT8d3Ms5eyuQZA/eg0d//iu6ZmXz1K9+0+A5z5wr9O8iPaDaS99EWS/k2hSmMOSOI7BePoP6ny/BOvwx5MTOSFVnMW/7L2HzJmFe9CDS0RUQpJ5Unq6vYCHLspbHqg93euOKi0fwyu+f4p+/+YPXfWKionnynof46/2/a7BC8XzxNAki16VdEZzfUHrwv718FZGq500Vq3qB6mmGqWuYtbqmxm0fPfpUGE80ZQ6qw/MW3D5vARNvs2bNonPnzkRGRjJo0CDWrFnT4P7Tp09HkiSnfxkZ7i5cX8/bYohq01aDmoRcXqVc6KftYdJse/+mDu0yGDXA+Q41KV7Jd1HF27mSUBdvDs9gUVkp5+xiyFPF3MW9L+SL51/j+svGNXjOlmzkq+YuAXy6YnGLvW/IEpmArd/t1N/0KfWT/+vsjVsyDcv8azHt+Ahqm15t2dooKS+j3lpPXHRMo8PMQelhOWbQ0EZz2W4eO5FrL73SX8v0iKdqU0996tQcMP2s1GDiKXzbUGhT9ZypYlXvWfPkVXP1vFU1kgNX3siECrPUeNjUrDXpbYWet/nz5zN16lSeeOIJfvzxR0aMGMGECRM4fvx4g8f16NGD06dPa/927Njhl/O2CLLo82ZEwjzcLbt63s7YvVTtkpSwiMlkYtYfnmHK9bdpx7Szh0zUcTnnSovJOxt4T1RzyT/n8LyVV1ZwPC8XUISpN8wms8fu7yq+tGFoLqq99O81f+nXFIZ4mLrFkCTkjIEOb9ywachx7ZHKTmL+/nksH16Faf0LLVbg4On6ChaFJUWAMt7KaOg9b6rn39P1VlWtet6aFzb1t73CLBa3wfANhTbVsGm0Jt4c3i39ZAUV19BxjYd99Kg35N4wmxuXRKmJSVw+eHijhQ2BJiDi7cUXX+Suu+7ivvvuo1evXrzyyitkZmby2msNx7stFgsZGRnaP9f+W809b0sict6MxfjxE9y2qT1+1Jw3dWxUu+QUp/0yUhx/nxn218LDwoiNisZqs3Hlb+/0OLQ6FNCHTa02G7uPHAQ855Xo+dOdU7THvXK6cvc1N3DpwCFA43e1/kC1l+sX1yHd6DKBncgEbBfeQf0tC6i/8l/YMi9CqqvAvPNDLPMmY14yDSl3c0DbjXi6voKFGmpPSTCeeNN73tqnKTdQnsRb5Xm2CvG3vSRJchOSDX1OqGHTWA9hU0/izTVs2lhVa3llI543U+Oetz5dLuClaf/Hr6+9tdF9A4nfq01ra2vZsmULjz76qNP2cePGsX79+gaPPXz4MFlZWYSHhzN06FCeffZZunTp0uzzzp49m9mzZwOQl5fHwoULAKWLdHx8gtbTJj09g0GDBmvx/rCwMMaPn8C6dWsoKlLu1kaPvpRTp05x6JDyJdenTz+ioqLYvPkHAPILlS+PequVhQsXEBERyZVXjmP16lWU2t3bY8ZcztGjRzh69AgA/fsPwGw2s3WrMh+vY8dsevToybJlSwCIiYnlsssuZ8WK5VTYL9SxY8exb99eTpxQvI0XXTQIq9XK9u3bAMjJ6UxOTmdWrlTmu8XHJzB69KUsXbqEGvuFPX78BHbs+IncXCVXaPDgIVRVVbFrl+Lp7Nq1G1lZWaxevQqApKQkRo4cxeLF31Bnv4AmTpzEli2bOXNGqaocOnQ4paUl7NmjjIvp3r0HaWntWLdOCWunpqYxbNhwFi1aqM0MnThxEhs2fE+hfU7oyJGjKCjIZ//+fQGzU/v2WfTrdyGLFyui6tChQ0yd+oiTnUaPHoOERGV1FQsWfMExuzDIPX6chQsXaHY6euCA9reWnpKm2SnCbEH9WJ3x31lEVdWFnJ127tuDnk32mY+V54oBGrTTylfe48c9O6k8V4TJZOK4pHhx1q5fS03+2Sbb6futm5n91f8Y1/9ixo26vEE7qdfTrFkzyc7O5uhJZ2/7t98toX18krieGrqeev+JlJ75VG2YTYeqnZiOrsB0dAXFlgwOxI4kP34A466adF7Xk+vn3t69e5gy5aGQ+NyzpCQqf+NlZSxcuCB07eThcy/b/j0IYKpTBM2mbVuQi0qRJIkLLxrIN2tWsmO38rNUVVSSl5fXZDuB8v30xRefkZiY6Fc7hZvDqMBRuVtQWMgGe7qTq53y7b+TvFNKJKCiooK8vDyqqqoo8yBWjx47yrp1azQ7HT2T67aPnk1bNxNdXa/ZyZWDBw+wcOGCkPl+aghJ9nOPi9zcXLKysli1ahWjRztaB/zlL3/hww8/ZN++fR6P++abbygrK6Nnz57k5+czY8YM9u7dy65du0hJSWn2eVUGDBjIsmUr/fIzemLx0vlMOvIPiuQYYu9fG7D3EfiXhQsXMGnSZLftw391E+VVlax7cz5/mPlP1m3fwsxHn+bSi4Zo+xQWn+OyB+8AYMPb/9Pujn8140/aAOy0xGSWz3q/BX4S37jxT79h37EjbtvXv/VxkxuCqjz/wVu8t+hzfn/7Pdw16Qan1wqLz/HVmhVcN+ZKt9yh/3v933y5ehlJcfGsfmNuk95Ltde1jz3AoVPHSU9O5cy5Qh668RdOYWxBI1QWYtr9P0y7/4dUrXyxyHEdsPW/E1v3a8DSvLCbK96ur2DwxaqlPPnGf5g86gr+9sC0YC/HZ1748C1SE5IoKS/nrQUfA3D3NTcw7bZ7eOC5p1m7fbO271O/+g03XeG7Fy0Q9pr4yL1O4wPnzfiPW/NvlWt+/2uOnj7FnKee466//NHps2HI3ddrrVBUxg8bxQsPP649335gL794+vfa847pmU7vfd/PbubhW+7Unve7/Wqn80299U7unew8LjGYXHXVFWzevNnjawErWHDtoSPLcoN9dSZMmMDNN9/MhRdeyNixY1m4ULlTeffdd8/rvC2FaNLbulCF2OnCfPLsd16uA6NTE5P519Q/8e/fPeEU1uivy4Xw1CctFFBDwfoh2u2SUnwWbgAJsUq7hJJy9zvjf8+bw4tz/8uo+2+j3+1Xc/DkMe21/ccV8VhUVqqFS5pKmb1qbOLISwHHz9NcZFnmxY/+y9sL/nde5zEM0anYBj9A/e3fUD/6SeT4jkpe3Nq/YZk7CdP296C24fwgo6GGzBrqnh/KPPrze7lr0g1O7Une+epTACfhBk2fyNASxLs0OG44bOpasNBYzptr2NT5ecd2mU7PPRV56GlKwUKo4HfxlpqaitlsJi/PuUlpfn4+6enuLRa8ERsbS58+fThgD03567yBQraJggUjMnr0pR63qx8eN/7ptxw6pYQA1L5nesYNvYSxLsOorx4xRntcUl7mp5X6j9q6Os6VlmA2mcjJzNK2N5bv5o2EGEWgllQ4/6zffr+aBau/c9q2aP0q7XGd7oM3t8Bz42NXVHupXwBd2ncEIL/o/IpDjuXl8s7CT/nPvDmN5sW0KiwRyD2vp/7mz6m/4jnklB5IVYWYN/4by9yJmDbPgsqzjZ/HC96ur2Cg/s00dU5oqBIf2/hsW9cB700lEPZSPx9UGmrnUaO1CnGuNq23Wj1WdzaW85bg8rv6dMVi9hw95PX9G20VIstQegIpdxMU7ml43wDjd/EWHh7OoEGDWLp0qdP2pUuXMmLEiCafp7q6mr1795KZmenX8wYK1fMmHG/G4tQpzz3CPN2dNzXRuWuHbJbNVDzGRWUlQe/E7cr733wBgCSZnFqDdLYLIV9RvYuuQnXWpx+67avvTaX3luWdLWjSe506dQqbzaaNAcrJVATn7gY+kJvCcV2vuDbZN85kRu46jvrr51J/1SvYMgYi1ZRi3vomlo8mYF75NJxtODXFE96ur2CgVhrGNTB03Ai4erI80dwbsUDYKyEuzv79qHxHNjTySvW8xUQ6Fyx4K0RwnbDgKuY8/a5mfz7P6/t7bNJbW4505DvMq57B8tFVhM2bjGXhrzFvDm6hZEDGY02bNo077riDIUOGMHLkSF5//XVyc3OZMkWpVJs5cyYzZ85k79692jGPPvoo11xzDdnZ2eTn5/PXv/6ViooK7rzzziafN5jI2v+FejMShw4dpFev3m7bY13CDomx8T6F59OTU4mLjqGssoLSivKAzj30lf/MmwMoH6L6FgRdspon3uLt4m3JxrXU1ddrd/1Hct3bUXy9biVD+/Tn6pGXOYm9XC8jx1w5dOgg2Tk5gFJRp1b85p87y7cb1nDVsFHN+hlKdMnQJ86c9pqT0+qRJOTsS7BmX4It70dMP72PdHQlpv0LMO1fgC1zMLa+tyF3Gg2mxr8+vF1fwUD1qMYYNGyqkmLvJanimrbes1MXumRlN+vcPttLlqEiD+nsAaSig1B2GqmyACoLkKrOQV0V/wwv599jrNhkqLJJWHb8EcvBeLBEI4dFQVgMhEUjW6L4Q/YZJEkmafPz/KtXETbAvOJJwmUTf+5WQq0NrLLyOSwDmZG7MW15AyISkCMTiT+XS9+4WiQgwiRzYVQxp5OrCTPJWCSotUn0iziLdGY7cngs7cKtVFglwiSIMMsk2org7D6kmlKk/B1IJ75HytuGJDtEoRyVjJzQCTmlR7N+x/4iIOLtlltu4ezZs8yYMYPTp0/Tt29fFi1aRKdOnQAoLCx0KzA4efIkt912G4WFhaSlpTFs2DA2bNigHdOU8wYTzfMmxFuroF1SsvY4KiKCVx590udzpCQkUlZZwdmSYhLj4tlz9BAvzX+X391yJz1zuvpzuc2iX9fuXDF4OB8t/gqAbh2a94GfpBOme48eol+3HsiyjMVsod5aT3hYmFO+ylOzX6JdknPbFX3fOT3VtTVs2bOTC7JztGNUURgTFeXUs+vDb79stngr1eXrHctruGKtrSBnDMSaMRBKT2DaOQ/Tvi8wnd6M6fRm5NhMbH1uwdbjWogM3ExPf6KGTeMMHja98IKeTs8rXYatN6dQoclY65DObEc6uR7p9I9IRQeRGmn8rHaOM0kQY5ahvhzKlGNcvy1vU7M4Dn7N1Wo21IGFRAJ3eHQmlsOW17VnFwOfDNK9XPYJN1zoeswK+HIFAKtdg3anXoJPnUf/yZIJW/oA5OxLsHW8BFK6Qwjk2QdsMP2DDz7Igw8+6PG16dOnM336dKdt8+Z5d2U29bzBRBZNeg1Jnz79PG7PSHb0cFv6yrvNKjxITkjk6OlTnC0pYt1PW3j+g7cApZHmu0//s3kLPk/q6usxSSZsso03/jSDuOgY/njHr9l3/AgDe/Rp1jnVOYQAJ/Pz6NetB5XVVdRb64mKiODl3z/F6cIC/v7ua1q1mOtUhFOFZ/hk+bf07XIBPXO6Uldfz9B7btDCIF2zsvni+dfodkEPbnryEe1nsZjNXDlkJEt/WEe4xbnBaGV1NX9/93Umj76Ci3t5trOKvmfWqYK8BvZsg8R3xDbiMWyDH1A8cDvnIZWewLzxP5g2v47tgqux9b0Nkt1vSLxdX8FAHY1k9Jw3i9nMxb37scneFuTSKT93er29hxYYTcWjvUpPYjq5HunEeqTcTUh1zjmhcmQScvIFyMndIL4jckw7iElDjkyG8GjeX7qYf859DxMQZZZ56s57mThkKNRVKueqr4K6SqorinhxzkzCwsJ47K7f8ufZL2OzWZlx32+pqCjhtY/nkBAVgVmSqK5RBGtGcio3X3YF1JQgVRdTmHeEgjPHsMqKl61zxy4kJaZQJ0us+nEz4SaZjinJdE5LQaotp7DgODFmmVobVNskYmKTiI1LRg6LVn6m9oORs4aF5A1KwMRbW0PV4SJsaiyiXAY+q6jD2ONjYptdMZpqz5H7YtUyvlq7XNuur7hsafYfP4JNttExPVOrSPvFhJ+d1zktZjN3Xn0d7379OafsOW1F9lFZCbHxDOs7AIBXP/lAE29HTives9ioaMqrKlmw+jsWrP6Ozu07sOCFN9iwc5tT/sqhU8fpd/vV3HK5w6ughl2nXH87S39Yxw+7f6Kw+BypiYrX9MvVy/hi1VK+WLWUHR997bbuequV37/0d7pn5ziN2zqZL8SbR8JjsfW9HVufW5FOrFO8cSfXY977Kea9n2LreAm2/r9EzhyseSa8XV/BQPO8hVAlZnN55fdPMX7qPZSUl7lNLNA3D/eVqKgoqK9WRNqJdZhOfo9U4txTUU7qiq3DcOSsocipvSA6xcvZFKJjkwAJG1BhlSiXoiFecaPpnR1lxef4KPcdkuMTebTHZJacm0NVTQ3/12UCxSXFvH/qE7LS0vnwLy+y7/gR7v/7/9FTyuLGix/SzrFy5RKeWvQSOZlZ3Dx2Ihde9TOskgQ2Gw9/cA0At4+/hj9dp6RajXJpFfKXX0/lujENjwEMFcRgen8hh1ZSuqBpqM0RXbn0oiH85ddTefvPzzb73MP7DQRg0x7nMW9VNdVuibUthSqu9N4yf5CVpozVemn+u5RWlGvCSh9S1X9pqsUK413CnEdyT2K1Wb0OkJ6/3L15ZZoudHrtHxxe+SO5DU9d2Hv0EMs3f8/rn8118rxt2r1DjNtqCMmEnD0K68RXqbv5M6y9b0I2R2I6sVZJ5P7850gHvwFrndfrKxio7WWM2ipET0xUNN06eE4XSk92r4pvlJpSpP1fYV4yDct7l2H59mHMu+YjlRxHDo/D1uVK6kc/Rd3t31J/0yfYhv8eOfuSRoUbOI/2Au/FB2qxQmR4OAAWs8W+f732eRlmCSMlIVG7MXYdj6Xud3HvC7ljwrVanrLJZNLGdDVU8NGUCQuhgvC8+QtZ9HlrTUiSdN53YP26KQmtrpWUdfX1HMs75fXDN5CoX2CuJfTni34m6i+e/r2Wl6Yv1LggO0fzOqrizlOFa1FZqea5a4in7/2t23voiyAaKzBRxyUBnDnn3Gpk8qNTWPfm/JDoIRnSJHbGdskTSkh118eYds3HVLgH0/InkKNepKe5L1QMg5jmh/L8RXGZ8reRGBs6xUPngycRMnrgxU3zLMoyVJ1DOrUR06HFSg6brZ729pdtqb2Qs0chdxiO3K5vk4pTvOG6nnovN65vfak0Ho6MUBpEW8yKkKq3WrW2QmoxlPp/VyHoEHnu6/3NTb/g5Y/fc6tQ1dNoq5AQQog3PyNy3oxF+/ZZje/UTFyb+gJarsr+40eCI97sHqZYP7dL6J6doz3WV5lm6kI4U667lW90fd4Asjzk56zYvIEXP/qv07Z//uYP/GGmI0/w/ekvaIOhXQWWWvGq7wtVb7VqXwYqesF2Iv+002tllRWcOVd4XiGoNkVkErZB92PrfyfSga8x75yHVHSQXqxE/mgtcufLsfW9FTl9QFCSvWVZpqRcuSFIjAvNxtm+Eh3pPr/01cemO2+or4aS40glx5CKjyGVHIXiY8rzWseNjiyZsGUN4Zj5AjpccgfE+q93qquns85Dq5BDJ49rebARYc6eN6vNqgk+VZTphR0oFeL/nvsO4WFhTvvp0Tx5Vu/zTz22CglRhHjzF1rYVNypG4l+/dxKkfxGUly8VhwAMHnUFaQlJbNp9w6O551u5Gjv1NXXsf/4UXp37uazZ6jU7nmLi/GveEtPTqV3527agHuVGy4frz3ukpXNfT+7mTftd9jgOXn8L2/PdHr+8/GTGTNoKJIkaW0RMlO9i6pt+3eTlpTilMdWVlHu1NMOHCFkgNP2KRoP3/xLXv74PQCO5+UK8eYrlkjkXjdQ3/N6pNNbYOdczMdWYTq8BNPhJcgp3bH1vAFb1/EtmgReVlmB1WYjJiqKMJfClpDEZoXaUqguQaopgeoSe1K+8n9qSrgzbDOT+p4l0iwTZZKJNMtY5k1WBFt9lZK7ZvOeniGHxSKn9kDuciW2zmMhOoX0ujoI8+/vx7WQqK7OfU3nyhyTDyLDFc+bWRVo9VbNw+bwvCnnVD1tT7/5klbAARBmdv8ZLBbH+bxhNouwaZtDtAoxJosXfxOw2Ytmk5m0pGTNwxMfG6uFF109Pb7wp1n/YvGGNdx4+VVa6LCpqLlk8dH+DZsC3H3NjTz28j+052aTiQu7Obc1iHZJYI9pJKH9n7/5AxNGKF3fO7TL0OYUxkQ6i77HfnGvVs17z4w/YTFb6NnJMcy7uLzMTby5Ck2Aa0ZdzuHcEyxcu8JJ3Al8RJKQ2w9m4dZcJt32B0x7PsG09zOks/sxr/s7pu9fQM4eha37JOSOI8EcHrClLN6whkftf5chFTKtq0TK+xHpzA6kkmNQdgqpuhiqi528Yt64EMA1va3UOc9TliwQ3wE5IRs5MQc5sRMkdEJOyIGoZDcvaCA+D7MzsrSel+DZ86bPAbbaFHHl8K7V89nKJQBaw3NVxKkNfw+ddP65G/K8NdQkWHje2iCylvMmEDjIapeuibeEmDhNvDW3onHznp0s3rAGgE+Wf+uzeFM/QANRcacvHABY8soct31cRVdMZDRTb72Tl+a967YvQLtkR0J0l/YdNfHmGjL65cTryC86y7tffw4oH9A7D+/XXldDZnpccxEjwyNIS0omK00JGZ0qOMO50hL+8vYr3Dnxegb2CI1ms4YjNh3bxQ9hu+g+pCPfYdr/lZJrdXQ5pqPLkcPjkDtfga3bBOTMQeDnpPEZ/52lPQ5qs+yaMqXx6+mtSKc3IeXvdmr+qkdGgog4rfksEfEQkYgcGQ8RCRCZyOIft/PVxo1UWSWqbRKmsGjenfEyWKLAEqn8M4UFvSdZdGQkS16ew7uLPuP1z+Z6zHmr0vWqUwsXHGLLyucrlclKOw4p17Qj563evq/z34wn8eYQfA7Pm9qLsqHjQhXjrDTEEa1CjElEhHveiD/Jychi695dgDJGSg3DnTnbvFmcu48ccHpeVVNNlA8/gxpK9HfYFJzHh6Unp7o14gXH2BvteVQU90y6kcmjruC592azZONap9czUxw5cfrZsp4Si/W9+VxRk9VVZFnmjEtj4GH9BmA2mZ3E2wfffMF3m77nu03fs3nO50SEB85D1Bpxur7M4cjdJmDtNgEq8jEdWITp0LdIZ/ch7fsC074vkKNTsXUdj9xtAnJqb78Ij2KdcA+4eKurgop8pIoz2v+l4qNI+TuVfDMdsmTCltYXOfMi5KSukNAROSpZEWfhcY2K2GOHJFac3Q7ADZeN51eTb4KEzAaPaYxAfR7GRkdrBRaeKu1d252ALsxpdQ9zNke8qfvoPX9mkwl9FNVihJC6HSHe/ISMaBViRK68MrA9fXp37qa5/BNiYzXvVGFxEbIs+5yzdtrFW1RcVuqbeNPaJfhfvOnbgiTHe85ncg2TRkVEYjKZaJeU4uYNHN5voFNuW2ZqwxWLyQnec6iKy0upqqkmzBKGxWymvKqSqppqp32G9RkAQHu7eMstyCdZN4roSO6JkJiMYSS8Xl8x7bANuAvbgLug6BCmg99iOvgtUtlJzDs+hB0fIidkY+s6AVvnyyG5G0jnH9JKbGbPRmQZaortgizfIcwq8qGiwCHWGgh3yuZw5NSeyOn9kdtfjJwxEMKbn74QHeG4lv5wx31ER55/T71Afh56qxAFqKl1bLtyyEgALCZH2NT9XIrIUie3uOaqecpr1Dx5DeS8Cc9bG0TNeROeN2OxevUqRo++NGDn75jRXnuckpBETFQ00ZFRVFZXUVpRrjUAPldawrJN65k86nItYdcT+vYWoLTGaEzU6CmtVKpN4wMg3vStC7z1UnItUNA/1z+eMeURfjZ6rNO+44ZewsyP32fUwIs9njvZZeajnuNnTnPFQ7/kwm49eP3xv2rjuHIyswizhHEk9ySXDRoGoHneThbk0VU3MqyguIie7qcWNECTrq+krkpYdfCDSAU7kQ5+g+nQEqSS45i3voF56xtKF//2Fysd79N6Iyd2hjDf+7V5vbbqa6A8F6n0FFJZLpTlKoKsMh+pPF/5v9XdO+SKbAqDmHb2KQPtkGPSIa49clpf5JTu4CGRvrnovcC+3MA1RCA/D/VFBjW1tXyy/FsuvWgIHdplUGv3vEWEhSseRBrOUbOYzVoxmNVmdevP5tHzZnE/n74iHSBMFCy0PdTZwEK8GYvS0pLGdzoPOur6n6mNJdMSkziWV0VhcZEm3l779CPmLV3Ipl0/8fzDf/R4rn3Hj7i12tA3l20K6nDuuAAULOi9iN6aXerDphFh4U7hDn0zz+z09rjSMT2Tx352Gzf87AaP59aLt6m33smE4Zfy1ZrlvPrJB2zcuY2yygrW/bSVeqtVy0Nsl5TCi797gsrqKk0EpyenYpJMFBSdc8qLe+3TD3nwn09zce9+zP7T39xCNQJ3fLq+JAm5XT/kdv2wDZuGlLtZCaue/B6pIh/p8BI4vETbXQ0xyhEJSk5YZCJyZIISdrREgmTGJknclFmBVZaol2FU1GlMP32gVG5WFkDpSaTSk4rXrJGMZTk81iHIotshx7az/z8dObodxLaDiMQWyzHT3yD5qx9hID8Pw3RNdz9Z8S3/eO8NXpr/Lj+88ym1dm/cTVdMcLQDsYdNrVbPUa0wi4WaulptTJ7ra+7v7x6GtbmKNxE2bXtIqnoT2k2gIzO1He2SU5BtMtl2L1xaUgrH8nLJLzqreXY+Wf4tAN9uWM1fp/zOo4fgb7rE65SERM6WFPss3srsnrdA5LzpSU1K8rhdHzZ1DaHqn2dnuIs3gPioGK95Z/qwaXZ6e7LS0rWeXvuPH9VeK6+s0PLd2iWnkBAb5zQCLcxiISMlldzCfNZs26xtV5OlN+3ewTfrV3HNqMs9rkPgB0wW5A7DsHYYptwZlx7HdGoT0unNSOcOQclRpKpzSqPZBk5jBv7aQ7eh8lvY8K3bfrJkRo7NQI7Pgrgs5Nj2yLHpDrEW065Znr5AMqzvAC7omMO4oZcEeylNQp+ntvuwUumtpi6oOW/hujYlnjxvr//xL07nU8Wb2ewcUrc01OfNLhRlWdbaODV0XKhinJWGPOpgeqHejMSYMYH9AraYzXzxz9cAx4eXmvemjogCyM7I5PAppdz9+j8+xKf/mOkUCjmZn8eP+3drzzu0y+BsSTElPoi3equViqoqJElyKxzwFw/e8HO+XL2MB66/3ePr+tCoa46Omr8C3nPmGrKXvg1EuyRlvmlCjCLKqmtrtNfKKivIL7KLNw9FFaDkveUW5nt9r7cX/E+Itybgl+tLkiChE7aETtD7RmWbrQ6qi6G6FKmm2L0PmrUWbFZKyor47oe1JMXEcPlFQwBZ8c5FJkJkEnJ8B+T4DhCboVRmGoi46Bg+e+5Vv54zkJ+Hmniz1rk1MK+157zpxZvatqPO3mC73mplSJ/+7uerr9eEmYprbzlwb+zrKtzA4R00AsZZaYijtgoRrjdjcfToEfr27RfQ93BNxFfbX+QXneVUwRle+OAtTbiB0i382+9XO43n+sMrzzmdo2dOV7Yf2EtpedPFW4V9MHdsVHTAxsA8cMPtTLn+Nq9hHH2rEFfPW6dMZdpFj06dvR7fkL0sZjMX9ezDmbOF9LD3eEvwUF1YWlGu5bzpW5HoaZ/WDvZ4fAmAvHMF3l8UaATs+jKFQXQaRKc5BTtdA587ftrKk/t2MrRPfy69fIb/19HKCOTnoT7nzXXqgho2VacrgC5Hrb6OeqsVSZKcwqP6ooUmVZu65Lx5CseKgoU2iKNgQWAkWkK8uaK2v3hp/rt8vnIpx8/kuu2j9jMDRXSpIbsLOuYwYfhobPabBV/Cpuq+gejxpqeh/Bt9fzbXJOsxFw3h0Z//ilEDPBckQOP2evvPfwccd9meqguLy0q1nLd0L563FF3+3EM3/oKLe/fj5fnvsXWf0valoqqK8srKVjHkPJAE4/rSoxb4JHsYVSdwJ5D20lp11Nc7ibTq2hotbKrPOVNz1CprFK95uCXM6bNFX73atGpT5wkLek9/Q8eFKsZpJxzqCNUmaCJD+zpc/56EG8CZIkcPMlVoZKe357PnXuW+a2/RkpV9EW9lARqN5Qt6j5/JpfVDmCWMO6++ni5Z7sPqm4rFbHa6C/fUUf/bDWu0sGl6smuLeoXO7ZU1ZKe3Z8r1tzGoZ1/+8dCjXHvpldqXhuswe4AvVy/j7r8+7hQSFwSPsyVFgOc5w4KWRR/m1Pd6O1dS4ogK6G6G1FCo2sA33GVsl96TZ2lKtakuh+6rtcsZfu9NXtdoBIR48xOiVYgx6d9/QIu/Z7cOnYiKcC9ICLNY+MdDjwHKB5pKnj3Ep29Sq4q3korGx+ioqELPWxuPlqY5FXK+2svTEPIvVi1lz9FDgPew6VXDR/Hbm+/gud88pm3LTG3HX+//HRf16AO4T2gA+L/X/83mPTt4Z+GnPq2ztRKM60uP6nkT4q1pBNJeDrFV59SU92xJESX29I8E3WeT6k2rrK52Ot5xPjWHrt6D5817k956q5UnZv3LyxqFeGt7iMH0hiRYg4gHdHcftWSz2chOVzqknyst1rar0xj0QiMhtvmeNyOLN1/t1Vj/K/1UCNfjfn3trfTt2t3ttXS7iPbkeVPxtQq4tRLsQd+aeIv3bGeBM4G0l97zVqtr1FtdV0tJuXITqv9sUsWWWpHq7nlTc+Lqferz5mm2quM9hXhrs4joqbHYunVLUN63Yzv3MTZREZFabk5RmcPzVlDsXhnZnLCpI+ctNMRbc/DVXnqB2KNTZ0b2H+T0enN6taljuPJcRpypA7XBOfG6LROs60vlq7XLAUhNFOKtKQTSXk5hU12+WX19vS5s6kjpUMWaetPpKsj0OW9N6dcW5pLz1tAajYAQb35DhE0FTadjeobbtjsmXEtSnNIi41xJiVbBrIqEtMRkbd94ewsM9Y61KaiVqaHiedOHgVuCpLgEplx3q/b8kv6Dm3UetQ1Jvi4vsbSinPe+/kJ7XlGtfBk5qtAFLc2+Y4e1x0K8BR+9eKvRibcT+XnstdtK38JIbSuk3si6tv9QxV1tXZ3TjZP+vfQ0NLHBsY9xGm8bR2aGOFp37hbqri3wDx07Zje+UyDeN93hebtuzJWMvXgEI/sPwmwyExkeQXVtDVU11URHRrHTXmnao1Nn7ZiEZhUshIZ4m3rLnbz+2Vx+OfE6n49tjr2S4uIpKislO709A7r35s0n/sax06e44uLhPp8LIMneg04vnF/48C0+X7lUe15cVoosy9wx/VFO5ufx3tPPe2083JoJ1vUFykg0lQ7t3G+WBO4E0l76nDd9pedf356pPY7RFSzERSleuCL71Ac3z5vZUbDgOrzeU7829fiT+Xle1+ivSRUtgfC8+QnZQ8M/QejTo0dwplV20Im3HtldGD1wiJa3oTaUnbPwM2RZ1nrA9crpph0Tb895K6uscLvr9EaoFCzc+7Ob2fzu5/RqxpD35thr6q130a1jJ21m4rC+A7jlyqtJ1XkyfSHJ3juuqKxU26YXbupr+48fYfuBvZwtKWbxhjXNei+jE4zrq66+HlmW2XX4AABDel8Y8PY4rYVA2ssp563O85zYWA+zjldu/QFA8855Op+75837YPrWghBvfkLV6yJsaiyWLVvS+E4BQJ/zlpma5vRae/uMzS9XL6O0opyaulpioqKcyujNJjNx0THIsqzNK22MlurzFkiaY68bLhvP58/NUhrv+oFEu3gr1ok3V4rLSjmZf0Z7rm/90pZo6euruKyUKx66g8dffYG3F/wPgP7de7XoGoxMIO0Va/eklVVWOBUs6NHnisY10kNRX23qnvPmvdq0tSDEm7+QRc6boOlER0YyeuDFdOvQicG9nJtizvrDMwDkFuZr3oO0RPeWFuo8zoZEhJ7SEKs2NSpq7zi958219UtxeZlTSPucvepREFi27d9DUVkpi9av1Lb181AxLGh5YqKiMJtMVNVUU17l+YZTH7aMbeQmMyzMEYZ1DZu6VqaC+zg+oyPEm98QiclGJCaIQmbmo0/z2XOvuomprh2yNW/cko1rAUeSvJ5k+xQAfWVqQ5SFSNj0fAimvVTU3nEl5aXaHX/HdCWf7fe334PFbKayukprEAtwVtf6pS3R0vYqKHZvjjzmoqEtugYjE0h7SZKk3XAWFhU1sjd0zWo4/071rnkuWHAXbxHh4XRu36Gpyw15hHjzG2K2qRG57LLgDReXJMlrguyE4ZcC8MPunwBI8yTeEpTEebWXVV19Pa999hG7jxz0eM7iMvdeSkYjmPZSCbOEERsVjdVm09oYVNq7wF82aJgWVtVPz2irnreWtpdr0+r+F/Q0VBJ6sAm0vdQqeU8i25WuHZzF29P3/tbpuVqUUFdf7zan1JPnDZT84taCEG9+QhJhU0OyYsXyYC/BI+odojrjNM1Dcr1ajfWP92YDsGbbJmZ98iG3/HmqxxYVZ0uVu10jt00IFXupAk2tOFW7wMdERZFg/4I6ccZR1Xa2jYq3lraXa/W1WhksaBqBtpfaXFxtvNsYw/sN1B6PGuDc2kc/Hss1bOotv82TqOualc3Px0/W0lWMghBvfkNtFRLcVQh8oyJEO+GrszVVPM3gVGeA5p0toKa2lkMnj2uv/ferT5z2/fb71VRUKd4hIxcshIq91IpTdRJGVY3yu42KiNQKS04X5mv7l1VWeByE3dppaXupvQxVVDsJmkag7dVQg/D+F7hXul46cIjXY/XVpq4FC97wJN7Cw8J4/M773cRhqCPEm7+Q1f8J9SY4f3Iys5yee2poe8eEa7XHp88WaCE8gOWbNwDKyK1dhw/w2CvPaa+JMNL5k2afdpFbmM+abZupqlHau0RFRGrtDlzHZxWXN62wRNB89NcAiLFYoUZDFaRvPP5Xt236CnvXoiBViNVZ3XPevOFJvJlMxpRBravxSVAROW9GZOzYccFegkcSYuPo3L4DR3JPMmbQUC69aIjbPhHh4Qzu1Y/Ne3aQd7aAeUu/1l7LLzrLPTMeJ//cWc6VOgoaLuwWnL52/iJU7KXmIP577hxtQH1EWDgmk0mrknMN5VRVNy1U1JoIpL1qamvJLzrr1PDaNWwa20i7CYEzgb6+GqogjYlyt5W+N5vrTafe8+Z6rXnDdUoDgNmg4s2Yqw5JFLetqDk1Fvv27Q32Erzy3tPPs/SVd3nl9095rJ4CSLcPq/942SKnPJK8swVs2r2DY3m5Tt6IN5+YEdhFB5hQsVe63fOmCjeASLtnINbDlxA0Pc+nNRFIe700/12unnYf67Y75nG6ircsMVnBJwJ9ffmasjGs7wCiI6OcwqcqmnjzUG3qjTAPnjfXofZGQYg3PyFpqk143ozEiRPHG98pSCTGxTc6/1Ntarn0h3WNni81McnwvY5CxV6epjNEhtvFm4u3R827UkOrbYlA2uv9b75AlmXe/up/2jZVvP3xjl/z62tvZezFIwL2/q2RQF9fvoq3lIREVsx6n38/8oTba6oXrba+Dqvd8zak94X88zd/8Ho+T543o4ZNA7rqWbNm0blzZyIjIxk0aBBr1ngfEfP3v/+diy++mPj4eNLS0rjmmmvYuXOn0z7Tp0/X2iuo/zIyQuPOShaD6QVBwLXB7/B+Az1+QF4+eDjvPPmc23ZB8/BUsRsZrghptZO8Y19F6LVFz1tLUFPrGLWkepknjhzDb2++o9V11Tc63sLYDYUuoyOjvPRtU26WqmtrsdoLFl783RNMGHGp13PpJzg05b1DmYCtev78+UydOpUnnniCH3/8kREjRjBhwgSOH/es7FeuXMmDDz7I+vXrWb58ORaLhbFjx3LunHM/mB49enD69Gnt344dOwL1I/iIvdpFaDdDcdFFg4K9hPPiquGjnZ63T23nsY/b/dfd6lYEYURCxV4exZuXsGlaE8RbYfE5/jDzn+w4uM+Pqww+gbKXvhWOmu8kyzJlFYp4M3JFdTAJ9PXlemOj8sqjT/t8LvVmqaa2VgubNhYCbU0FCwFb9Ysvvshdd93FfffdR69evXjllVfIzMzktdde87j/4sWLufvuu+nbty/9+vXj/fffp6CggHXrnMNBFouFjIwM7V9aWprH87U0kqg2NSTWJia6hiphFgsTdAKuY3qm1oNMT2Pdyo1CqNirg4dcKvWuXu9dsJjNJNgnMlQ2IN7eXvAJ36xfxbSX/u7nlQaXQNlLn9u2+8hBTpw5TWV1FTbZRlREpMfZloLGCfT15U1UN6elS4Qm3mq0Jr1mc8OSxnPOmxBvGrW1tWzZsoVx45wrV8aNG8f69eubdI6ysjJsNhtJSc53uIcPHyYrK4vOnTtz6623cvjwYb+t+/wQ1aZGZPv2bcFewnmTndFee5yTmeUk3pLjE5n9pxnaB53RCRV7xUXH8PGzLzttU/u46b+gYqKiiY6IBKC6gZy3n+weN30BRGsgUPY6mZ/n9Pya3/9aE3RxMcLr1lwCfX1FR3nOuW2OpzQizBE2Vb2vjXrePIh6o3reAnJ7UlhYiNVqJT093Wl7eno6y5Yta9I5pk6dyoABAxg+fLi2bejQocyZM4eePXuSn5/PjBkzGDFiBLt27SIlxX1w9+zZs5k9W+k+n5eXx8KFCwDo1as38fEJbNz4vX1dGQwaNJhFixYCijofP34C69atocg+g2306Es5deoUhw4po4f69OlHVFQUmzf/AEBd0TkwQVl5OQsXLiAiIpIrrxzH6tWrKLW3ahgz5nKOHj3C0aNHAOjffwBms5mtW5VqqY4ds+nRoyfLli0BlDlzl112OStWLNeaJ44dO459+/ZqiaUXXTQIq9WqXXQ5OZ3JyenMypVKp+z4+ARGj76UpUuXUGO/8x8/fgI7dvxEbu4pAAYPHkJVVRW7dikh6K5du5GVlcXq1asASEpKYuTIUSxe/A119i+oiRMnsWXLZs7Yu8gPHTqc0tIS9uzZDUD37j1IS2vHunVKnmNqahrDhg1n0aKF2Gw2TCYTEydOYsOG7yksVL6wRo4cRUFBPvv37wuYndq3z6JfvwtZvPgbALZv386kSZMNbSfKHEOee3fuRlWZwyvx57sfwFJdp/3tG9VO6vW0e/cu7WcLBTtNm3QLLy6cD8DZonMsXLgAU7wjbG2Socoeytvy4xaiquo8Xk+ROnG9cOECw9tJvZ42b94UEDsV1Fehx2qz8dN+pVJSstpYvXqV+NzzwU6gXE/Hjx/XPisCcT3JkZ5vIrdu3sQOaYtPdtr+41YAzuSfod5aD8C33y7CJEle7bTLQ5pVYUEBGzZ8H5J2aghJ9jRH5zzJzc21XwSrGTVqlLb9mWeeYe7cuezd23A58rRp05g3bx5r166lSxfvs8jKy8vp0qULjz/+ONOmTWvwnAMGDGTZspU+/Ry+sHLeU1xZ+hV7LN3pds/8gL2PwL/s3LmDvn37Nb5jiPPJ8m+x2WzcPHYiz70/mw+++RKAuX/9N327dg/y6vxHKNqr3+1XA0oo9Zv/vM2uwwe49f9+B0D37M6MuWgos7+YB8C8Gf+hT5cL3M7x0PPTWf3jJgB2fPS12+tGJVD2mvm/93nj83lO264cMpKlP6zjkv6Dee2Pxhp1FCoE+vo6ceY0Ex+512371ve+8NoOyRub9+zk7r/+kQHde7Ft/x4kSeKnDxc2eMx3m9bzu3//zWnb5YOH89K0//PpvVuKq666gs2bN3t8LSD+wtTUVMxmM3l5zq7t/Px8N2+cK4888ghz585l+fLlDQo3gNjYWPr06cOBAwfOe83+QuS8GYucnM7BXoJfuPHyq7h57EQAkuMc8xw9jdUyMqForxsuGw8o4gGcCxZio6KJ0YWK7v2be8sDAEn3udGaqlIDZa9TBWfctqntcrp26Oj2mqBpBPr68tSIF/BZuIHDW62O/WtKZbGn9zEZdOJMQMRbeHg4gwYNYunSpU7bly5dyogR3vvuTJ06lY8++ojly5fTs2fjneCrq6vZu3cvmZmZje4bcGS12tSYfwhtFTUc1ppQh9oDJCe0rsHcoWivh2+5k8fvvJ/7rr0FgBhdwUJsdLSTmCuvqnQ7HqCyxhEGLCptPWO0AmWv04XecwN7dGr4pl/gnUBfX94aWDeHCE28KddUU8Sbp2pToxKwTL1p06YxZ84c3nrrLfbs2cPUqVPJzc1lypQpAMycOdNJoD300EO88847zJ07l6SkJPLy8sjLy6NcN2j40UcfZdWqVRw5coSNGzdy4403UlFRwZ133hmoH6PJCMkmCBVGXHgR3Tp04vox4wzbPdxIJMcn8PPxk7Wk6zhdO4SYyCg3b4OnTJVK3eisorISt9cFzqiFHb+//R6317p16NTSyxE0EU/iqbmCTm2Krfb204/S8vr+HjxvskHnIgWsnvqWW27h7NmzzJgxg9OnT9O3b18WLVpEp07KhVVYWMi+fY6eRrNmzQLgiiuucDrP008/zfTp0wE4efIkt912G4WFhaSlpTFs2DA2bNignTO4iCa9RiQ+vnV5pkBpavn5P2cFexkBwQj20n9B6QfVq5RXVbpV11VWOzxvZ0uKA7q+liRQ9lJ/RzePnUi91cpL89/VXhPirfm09PX1wsOPc0HHnGYdq94UqeKtKTeqnqru/Z/13zIEtBnOgw8+yIMPPujxtenTp2uiDDzfjboyb968RvcJGrIQb0Zk9Gjv3bgFoYcR7KUfoC1Jkpvn7VxJsQfx1jo9b4GwV3VtDdW1NYRZLERFRJKuGyH33tPPix5v50FLXF9REZFaXuf4YaMa2ds7MS6j/iyW5uW8BaBms0UwZoOTkMT+ByBy3gzF0qVLgr0EgQ8YxV4X91Yq9gb36keHdhmYJMdHrevwdHD2vJ0rcRZvhSVF3PWXP/Lxd423Dwg1AmEv9fcXHxOLJElkprTTXvM2fknQNFri+vr7g48C8Nub7ziv84SHhTmFSpvieYv06Hmzndc6goW4RfEbxlTvbZ2aVlTZ1xYwir2efeD3bNq9g/HDRhFmsfDBMy9w/z+epKyywq2aVJZlJ/FWVO4s3r77YT1b9u5ky96d3HzFhBZZv78IhL1U8ZYQq0yuuKCjI0yakuA+tkzQdFri+rp88DC++c/bZKU13HmiMSRJIjYqmuJypcCnKQULWe3c39Ogjjch3vyFJHLeBAKBnYyUNK4Zdbn2vF+3Hgzs0ZvVP25yCpGCMplBHawNUF7pXJGq5vQIFErKywBIiFHEW0JsHI/+/FdU1dSQbICcyLaOJEkex8s1h+jISJ/EmyfvnGQy5ne2CJv6C4Oq97bO+PHG8mS0dYxsr+gIJUfH1fPm2j5EHa6uov/C+XylMcLGKoGwlybeYh2TLO68+nqmXH+b39+rrWG06yvKPnoOwNwE8QZwzSWXOz3XpzQYCWOuOgSRRM6bIdmx46dgL0HgA0a2V1Sk0trAdUC9aw5cWZWzeKuodoi7p2a/RN7ZwgCt0P8Ewl4l5WrOW5zfz93WMdr1pRdvTWkVAsrIwHeefE57btSvbCHe/IWoNjUk6vw8gTEwsr00z5tL2FT1JKm4et5cw6inCpwn14QygbCX6rmMjvQ85FzQfIx2fak3RADmJg6Yj4mKZnCvvoFaUoshxJuf0DxvQrwJBAIPREcqXoKKaueh6qrnLSMlDYByF8+ba1i1qLT1tBJpDrV1tQBEhLeebvmC5qH3vDW3RYwIm7ZxjNqlua0zePCQYC9B4ANGtpf6ReOa86aKt/ZpSssLV89bhYt4O1dmnPFZgbBXTV0dAOFh7m0fBOeH0a4vp5y3NjZNRog3f6GFTcWv1EhUVVU1vpMgZDCyvdQwn6t4K6lQwqYd0pQKPFfPm+qp65XTFYBiAzXxDYS9alTPmxBvfsdo15dTzlsTmvR6wtTEcGuoYcxVhyCOgoXgrkPgG7t27Qj2EgQ+YGR7RUXYCxaqPXve0pNTMJtMVNXUUFdfr71eYf9CVT1zJeXuTX5DlUDYSwubtqIh46GC0a4vdb4pNN/zJhn0S1uINz8jChYEAoEnvHne9E1nY+1js0rKSzl86rhTA9/MVEW8qX2t2iq1ImwqsKMvWGhqtakrotq0raOlvBn0L6GN0rVrt2AvQeADRraXGuKp9FKwEB8Tq808ffGjd/jZYw/wv+++0VqFtLeLt1KX6tRQJhD2cog34XnzN0a7vpxbhTRTzhhUvQnx5icklA7pomzBWGRlZQV7CQIfMLK91GpTt7CpXYzpxdtXa5cD8N+vPtFahbRPVUb7GClsGgh7iZy3wGG06yvaqdq0eWLe07xTIyDEm5+RDKri2yqrV68K9hIEPmBke3mvNlUKFOJj49wGq4dZLJRVVmAxW8jOyASMFTYNhL1qahXxJjxv/sdo15dzwYJvYdNbrrwagJ9f9TO/rqmlELNN/YSYbSoQCBrCq+fNKWwa6/Ta0dNK09TUxCSS4uIBY3neAoEaNhWeN8H59Hn7810PMO22e7Tr0mgIz5ufEOOxjElSUlKwlyDwASPby2urEG3Qeqyb500lNSGJhFhlHFRpRRmybIwEjUDYq7benvNm0HBXKGO060s/ZSPMx4IFSZIMK9xAiDf/ofV5ExiJkSNHBXsJAh8wsr08FSycOVdIQfE5AFISEol38bypJCckEGYJIzoyinqrVWsfEuoEwl41olVIwDDa9aUXX83NeTMqQrz5HfErNRKLF38T7CUIfMDI9lK/aPSetw8XLwDgwm49CLOEOXne1DApQHJ8IgCJdu+bUfLeAmGv2lrF89bccUgC7xjt+oqJ0nne2tjfg1AafsMW7AUImkGdPX9GYAyMbK8wSxgWs4V6q5Wa2lpkWWb/sSMA/HLidQBatSnAsL4DtMdJ8YqQU0OnrsPsQ5VA2KvOag+btjFPS0tgtOsrJtJxsyPEm6B5iD5vAoGgEVRv2o/7dzPyvltY99NWAHp06gI4J+EP6tnXcVxsAqAUNYBxxFsgEH3eBCrOYVMh3gTNQKs2FQULhmLixEnBXoLAB4xur5SERAA+/PZLyiodM0w7pitzTfWVqF2yOmqPE2Jj7f9XixaMUXEaCHupo8PaWo5TS2C060u9mYG29/cgxJvfEAULRmTLls3BXoLAB4xuL1W8fb9jm9N2dS7jsH4DAEhLTKZXjqPbvSrajBY2DYS91GrTtuZpaQmMdn3pq01ttraVuiT++v2E1ipEhE0NxZkzecFegsAHjG6vlASlFYNaMQkwYcSl2uNeOV2Z89RzdM3KJjY6msmjr2DLnp0M6N4bgIQYu3irMIZ4C4S96oXnLWAY7frSN8VXx8i1FYR48xci500gEDRCcnyC0/O7rr6ee392s9M2fa7b36ZMQ5Zl7UtKDZ+25Ua9as6b8LwJ9Kjh9LaCCJv6CdGk15gMHTo82EsQ+IDR7aWGTUEJ+Uy7/R4tFOoNvXchIVYpeCgqLQnI+vxNIOzlyHkT4s3fGPH6uqhnHwBGDRgc5JW0LEK8+Q0xHsuIlBrkS1CgYHR7qWFTgKy0dJ9nIbdLSgaUwfXFZaHf683f9pJl2TFhQVSb+h0jXl8vPfJ/vPPkc1zSX4g3wXkhxJuR2LNnd7CXIPABo9tL73nLSmvn8/HtklO0x6Puv419x4/4Y1kBw9/2stpsyLKMSTJpRR4C/2HE6ysxLp7Bvfo2vmMrQ4g3vyEKFgQCQcOkJDo8b+3T0n0+Pj051en5jP++et5rMhKix5tAoCDEm5+Q1EHRQrsZiu7dewR7CQIfMLq9umZla48tPg7SBqWv1YXdemrPD5864Zd1BQp/26tOtAkJKEa/vtoSQrz5G1GwYCjSmhG6EgQPo9vLYjZz8xUTiQgLZ/LoK5p1jsd/+WvtcVYzvHctib/tVVFVBTj39xL4D6NfX20JId78hihYMCLr1q0J9hIEPtAa7PWnu6awfNb79Mju3Kzje+Z0ccqdC2X8bS+1l5d+ILnAf7SG66utIMSbnxBNegUCQVOwmM1OY318JcwSxtt//jsA1bU1/lqWIVA9bzHC8yZo4wjx5jeE582IpKamBXsJAh8Q9lKICFcG2NfU1jayZ3Dxt70qq0XYNJCI68s4BEy8zZo1i86dOxMZGcmgQYNYs6Zxd2xTjmnOeVsCTbKJnDdDMWyY8ZpStmWEvRQiwuzirS60xZu/7VVhF28xUdF+Pa9AQVxfxiEg4m3+/PlMnTqVJ554gh9//JERI0YwYcIEjh8/fl7HNOe8LYVWbSowFIsWLQz2EgQ+IOylYBTPm7/tVVFlz3kTnreAIK4v4xAQ8fbiiy9y1113cd9999GrVy9eeeUVMjMzee21187rmOact6W4sHaH8kB43gyFzWYL9hIEPiDspRAZHgFAdYiLN3/bS/W8RYuChYAgri/j4PdmObW1tWzZsoVHH33Uafu4ceNYv359s49pznlnz57N7NmzAcjLy2PhwgUA9OrVm/j4BDZu/B6A9PQMBg0arN11hIWFMX78BNatW0NRUREAo0dfyqlTpzh06CAAffr0Iyoqis2bfwAguT6HUaYjHC02kbtwARERkVx55ThWr16ljRwZM+Zyjh49wtH/b+/O46qq8/+Bv+Cyb4KAoCiLpqCikuAGiUsIrqVlaatONuVPa0jGJnMqyUxtamxT7KdNWrboPJrJGrMxHAQVlxQVcQFXXFgEBNlBgfv9A+/hXrgsV87l3E+8no8Hj8e9557lfXn70befcz6fT2b9rOhDhgRBpVLh2LEUAECvXt7w9w/A7t2/AgDs7R0wbtx47NmTgPLy+oWoIyIikZGRjmvX6nsbhw4NRm1tLVJTTwAAfH394Ovrh8TEBACAk1MXhIePQXz8r6iurgIAREVNQlraSWRnZwEAQkKGo7KyEqdP1xegffrcBy8vL+zdmwQAcHFxQVjYaOza9Qvu3J0kc/LkqUhJOYobN3IB1K+JV1JSLM3Q3a+fP9zdu0mjl9zc3DFy5Cjs3LkDdXV1MDc3x+TJU3Ho0EEUFOQDAMLCRiM/Pw/nzmUYLU89enhh0KDB2LXrFwBAWtpJTJ36EPNk4nnStCftGeA7c55cXd1gZmaGmtoa/PTTdlhYWJhUnjTt6dixFFnzdOzEMQCAuqYW165dNfk8mXp7avz33vXr16R/JztTezLVPLXETK2W935fdnY2vLy8kJSUhPDwcGn78uXL8c033yAjI+OejrmX82oLCrofu3cntv8LNqMo7wrU6hp09ehjtGsQEWkMm/sIqm5X4/AX/4KdjY3S4XSID7/bhC/+8z3+9Piz+OP0WUqHQ2RUEyc+iKNHj+r9zGgDFhovuKxWq1tdhLktx9zLeTuCSzcfnLucp3QYZKBDhw4qHQIZgPlqoLl1Wnm3x8IUyZ2votL6XiIXpy6ynpfqsX2JQ/bizc3NDSqVCrm5uTrb8/Ly4OGhfzbwthxzL+ftaJruVRIHcyYW5quBrY3pF29y5kutVuPn5EQAQFcWb0bB9iUO2Ys3KysrBAcHIz4+Xmd7fHw8QkND7/mYezkvEdHvlZ11/UP7ply8ySm7IE9amH6A330KR0OkLKOs7hsTE4NnnnkGw4cPR1hYGD777DNkZ2dj/vz5AIC1a9di7dq1SE9Pb/Mxbd1HSWFho5UOgQzEnImF+Wpga13/nFtFlekWb3Lm62Zx/UPfzg5O8HTlZLLGwPYlDqMUb7NmzcLNmzexYsUK5OTkIDAwEDt37oSPjw8AoKCgoMkAg9aOaes+SsrPz4OLi4vSYZABmDOxMF8NNIMUTLnnTc58FZWUAAAG9ukry/moKbYvcRhtwMKCBQuQmZmJ6upqpKSk6IwQjY2Nhb5Bri0dY8g+StEMISZxMGdiYb4aaIo3zZJRpkjOfGkGK3R15PNuxsL2JQ6ubUpEJCDNbdPK6s6xOH1xWSkAoIujo8KRECmPxZuM+vcfoHQIZCDmTCzMVwPN4uym3PMmV76u5mbj+4T/AgCc7B1kOSc1xfYlDqM889ZZOXH4unCYM7EwXw0aet5M95k3ufL15FsxUs+bkx2LN2Nh+xIHe95kpFkmg8TBnImF+Wpga2P6o03lypemcAMAJwcWb8bC9iUOFm9ERAJysrMHAJTcXVeys/D19FI6BCLFsXiTkYeHp9IhkIGYM7EwXw00S0QVltxSNpAWyJGvxs/09enp3e5zkn5sX+Jg8Saj4OAQpUMgAzFnYmG+GnR1cgYAFJYUKxtIC+TIV8GtIp33moEaJD+2L3GweJPRzp07lA6BDMSciYX5auDaxRkAkF9UqGwgLZAjXzeLb0mv//LMH9t9Pmoe25c4WLwREQnIt3v9s18Xrl/BiXNnFI7GeMoqKwAAoYOG4plJ05UNhshEsHiTkaWlpdIhkIGYM7EwXw20bx8uWfeBzmdqtRo7DyQipyCvo8PSIUe+NM+82dvydqmxsX2Jg8WbjKKiJikdAhmIORML86UramT9QuKWFhbIyr8hbT+YdhyvrX0fz8S+qlRoAOTJl6Z447Nuxsf2JQ4WbzJKTt6ndAhkIOZMLMyXriVzXgQAZOZkYWL0c9iTcggA8Ovh/QCAG4UFisUGyJMvzTx27HkzPrYvcbB4k1FRUVHrO5FJYc7EwnzpcnVyhq21tfR+03/+BUB3Ulu1Wt3hcWnIka/yqvpn3uysWbwZG9uXOFi8EREJyszMDC6ODUsamZmbAQDu1NRI20x5+ay2KK/kM29EjbF4k1F4+BilQyADMWdiYb6acnZ0kl6r6+p72Uory6Vtt0pLmxzTUeTIl6b41KzlSsbD9iUOFm8yysrKUjoEMhBzJhbmqylnh4bi7fi5M/jfkQMoq6iQthWVKjeJrxz5qr59GwBgbWXV7nNRy9i+xMHiTUYXL15QOgQyEHMmFuarKXNz3b/GX/nwXZRXNhRv2s+/dTQ58lXF4q3DsH2Jg8UbEZHA1Oq6JttKKxpumxaVluh89p99CThy5qTR45JL1e1qAICtlXUrexJ1HhZKB/B7MnDgIKVDIAMxZ2Jhvpqy1lPUlJSXSa9vlTUUb9du5GDp+r8DANK+/dnosbU3X2q1GhlXLgHQ/z1JXmxf4mDPm4xsORpKOMyZWJivpqJGPgAA6NbVVe/nt7R63m4U3pRe19TWGjcwtC9fGVcvY/BTU6XJh21429To2L7EweJNRkeP/qZ0CGQg5kwszFdTE4Y/gI9j3sAP78VJi9Vr0x68kHMzT2t7eZN95daefH236z867/nMm/GxfYmDxRsRkcAsLSwwPmQUnOwd8NGivzb5XLO81LUbOVga93dpe2kHFG9y4m1TogYs3mTUo4eX0iGQgZgzsTBfLQvqN6DJtoqqKtypqcHkRc/rbNcekWos7cmXZqCChj3XNjU6ti9xsHiT0aBBg5UOgQzEnImF+TJcRXUlisubThdS2gHFW3vy1bhnUHs+OzIOti9xsHiT0a5dvygdAhmIORML89U6L3cPnfcVVVU6z71pdMQzb+3Jl2bErJWlJUYHhXB5rA7A9iUOFm9ERL8jc6c+AgB4YEgIgPrbo/pukZZ1QM9be5SW1xeXW1d8hLi/vA0zMzOFIyIyHZznTUbWXHtPOMyZWJiv1s0cPwn+3r1hZ2uL/alHUVldpXMLMmzwUCSfPKa3N05u7cmXpufN0c5BrnCoFWxf4mDPm4wmTIhUOgQyEHMmFuardRYqFe73H4Au9o4A6m+banrexgWPhL9PbwAt3zb97XQqnl72Z6RnXmxXLPear9q6WmlNVhdHPuvWUdi+xMHiTUZ79yYpHQIZiDkTC/PVdnY29b0oFVWVUs+bo509HO3sAbR82/SzH75D6vl0LP5kdbtiaC5ft0pLWhztml9UiJraWrg5u3B+tw7E9iUOFm8yKikpVjoEMhBzJhbmq+3s7k6toT1gwd7WFg52dgDQ4m3TlLOnAQBXcrPbFYO+fFVUVWHqn1/AzNdfbva4/KJCAEA3F/2rRpBxsH2Jg8UbEdHvkIVKBWtLK9Sp63Cz+BYAwMHWDu7OXQEAWQU3mj22i4PxnjPLvZmH4rJSXM/LRWV1ld59NL2Cml5CItLF4k1GY8eOVzoEMhBzJhbmyzCaW6d5t+rXNLWztYWnqzsA4OatomaP6+LgKMv19eVL+3ZtUUlJk8+199H0ElLHYPsSh9GKt7i4OPj5+cHGxgbBwcHYt29fi/uvWrUKw4YNg5OTE9zd3TFt2jScOnVKZ5/Y2FiYmZnp/Hh6ehrrKxgsM/Oy0iGQgZgzsTBfhtHcOi0oqi/U7G3s4GRf36umGc2pj4VFw0QELe3XGn350kwBAgC3ypop3qTbvCzeOhLblziMUrxt27YN0dHRWLp0KY4fP47Q0FBMmjQJV69ebfaYxMRELFiwAAcOHEBCQgIsLCwQERGBwsJCnf38/f2Rk5Mj/aSlpRnjK9wT/sEXD3MmFubLMJri7UDaMQD1S0xpijd9qy5oaA8myM5v/vZqa/QWb1qjXG+V6i/eNNd3YPHWodi+xGGUed7WrFmDuXPn4o9//CMA4NNPP8V///tfrF+/HqtWrdJ7zK5du3Teb9myBV26dEFycjKmTZvWELCFhUn1thERmarbd27rvLe1sYGjnT1U5uYor6zE7Tt3YGVp2eQ47cEMWfk3EODbR7aYdIq35nrepOKNz7wR6SN7z9vt27eRkpKCyEjd+WIiIyNx4MCBNp+ntLQUdXV1cHFx0dl+6dIleHl5wc/PD7Nnz8alS5dkiVsOQ4YEKR0CGYg5EwvzZZjGo0VHBgbB3NwcznfnTtPMpaZNrVajvLJSep/Vjp43ffnSLt6Ky/Tfki2rrN+HPW8di+1LHLL3vBUUFKC2thYeHrrr63l4eGD37t1tPk90dDSCgoIwatQoaduIESOwefNmBAQEIC8vDytWrEBoaChOnz4NV9emQ8o3bNiADRs2AAByc3OxY8dPAID+/QfAyakLDh8+eDc2TwQHh2Dnzh0AAEtLS0RFTUJy8j4U3X1WJDx8DLKysnDx4gUAwMCBg2Bra4ujR38DAPTo4QVXV1fpGtbWNpgwIRJ79yZJw6/Hjh2PzMzLUtf0kCFBUKlUOHYsBQDQq5c3/P0DsHv3rwAAe3sHjBs3Hnv2JKD87nMnERGRyMhIx7Vr9beghw4NRm1tLVJTTwAAfH394Ovrh8TEBACAk1MXhIePQXz8r6i+O7IrKmoS0tJOIjs7CwAQEjIclZWVOH26/hZ0nz73wcvLS5rzx8XFBWFho7Fr1y+4c+cOAGDy5KlISTmKGzdy7+ZmFEpKinH27BkAQL9+/nB374bk5PpnHd3c3DFy5Cjs3LkDdXV1MDc3x+TJU3Ho0EEUFOQDAMLCRiM/Pw/nzmUYNU+DBg2W1vArLy/HrFnezJOJ50nTno4ePSL9Dpmn1vPk39MXGdcz679r8EhUlVcgKeF/sLj7//abxbdw5O5/qjV5SkhMQJ26DhqnzqVjR91PBuVJ054KCwvxyCMzdfKUpVVQ/pZyBF4OzhgQ0B+HDiRLedL0/F26cB47dvz0u8+TUu2p8d97Fy6cl36nbE/K56klZmq1Wt3qXgDeeOMNvPvuuy3us2fPHvTr1+/uL3YvRo8eLX329ttv47vvvkN6enqr14qJicHWrVuxf/9+9O7du9n9ysrK0Lt3byxZsgQxMTEtnjMo6H7s3p3Y6rXbY8eOnzB16kNGvQbJizkTC/NlmNybBZjw8hwAwPMPPY7o2fWvn1uxBEfOpGHD6yswatD9OsfcKCxAxEtzpPdjhw7Hp4uX3dP19eVrxRfrsG33TgDAo+OiEP9bMhzt7PHLR/+Q1i999ZP38N9De/HeS69icujYe7o2GY7ty7RMnPggjh49qvezNve8vfLKK3j66adb3Mfb2xsWFhZQqVTIzc3V+SwvL69Jb5w+ixYtwtatW7Fnz54WCzcAcHBwwMCBA3H+/PnWvwARUSfj6eoGJ3sHlJSXwbeHl7Td2aH+tmmxnpGkjSfvTTz2m9QbAQB1dXWovnMbtve4DmaJ1m3T4+fOoKS8DCXlZcgpyEcP924oLiuVRrjytimRfm0u3tzc3ODm5tamfYODgxEfH4/HHntM2hYfH49HH320xeOio6OxdetWJCYmIiAgoNXrVFVVIT09HePGjWtTXMbWq5e30iGQgZgzsTBfhlv81PNIu5iBiSPDpW2aedyK9Yz21AwW6NvLF+evZQIA8ooK4ela//f/3OWv4UpuFn58/zPp2bnm6MtXcWnDKNdLWdek11n5uTh9+TxiPlopbeOAhY7F9iUOo0wVEhMTg82bN+Pzzz/H2bNnER0djezsbMyfP1/aZ+3atToF2sKFC7Fp0yZ89913cHFxQW5uLnJzc1Gm9UDr4sWLkZSUhMuXL+Pw4cOYOXMmysvLMWfOHJgCf//WC04yLcyZWJgvw80YOwFvzXtJZ41QqXjTM12IZsF61y7O6OftB6BhYENxWSmOnzuDwpJinLzQ+iMw+vLV3AjTrPwbiN34ic42B66w0KHYvsRhlOJt1qxZ+Oijj7BixQoEBQVh//792LlzJ3x8fKR9CgoKkJGRIb2Pi4tDaWkpHnzwQXTv3l36+eCDD6R9rl+/jieeeAL+/v545JFHYG1tjUOHDumcV0maBzlJHMyZWJgvebS0vqn20lSa25YVVfWjT6/nNTwOk5Wf1+p19OWrubndklOPNZkQ2JErLHQoti9xGGWeNwBYsGABFixY0OznsbGxiI2Nld63ZdzE1q1b5QiNiKhTc7Krn6hXe9oODe2lqSrujgDUTB2i/YzcvU7ee6usvrfPr0dPXM6+Lm3/76G9Tfbt6uR8T9cg+r3j2qYysrc33mLOZBzMmViYL3loet70Fm9aS1PZ312hoaK6ChVVVVi1eb20X3ZB6z1vjfN1+84dVFRVwkKlwqyIKc0e9/qc+Vgxf5HOrV4yPrYvcRit560zGjeOi/qKhjkTC/MlD81AgDK9PW/12xxt7VFmU1/IVVZV4ofEX5GZkyXtl3uzoNXrNM6X5nk3Z0cneLnrn31ggN99eDJqmt7PyLjYvsTBnjcZ7dmToHQIZCDmTCzMlzyc7OuLt5Zum9rb2sHOpn46kIqqKuw9fkRnv+aeXdPWOF9FpQ3F2/3+A+Ds4ITB9/lLn0eNHI3/v+QdA74JyYntSxws3mRUrmfOJDJtzJlYmC95aEZxtnTb1NGu4bZpaUU5ruRm6ex3q6wEJ86dwbwVryPjatMFzX/a+z+s3/k9issaRrRqCj5nByd0cXBEQtxX2PTme9Ln08dEtDr9CBkP25c4WLwREXUyji0Ub+VaPW+aKUXSLmY0WeO0tKIcf//2C/x25iT+uv7vTc7z18/W4GzWFWzb/bO0raF4qz+vpYUlrCwtYW9bXyS6dnFpch4iaorPvMkoIiJS6RDIQMyZWJgveWiKN31ThWgKOkc7e1TeHW165Eya9LlrF2fcLL4FtVqNE+fOAgAyrjTtedMouFXU5NxOjR6Mf2/hX3Ap6xoCfFpeVYeMi+1LHOx5k1FGRuuTVpJpYc7EwnzJQ7O0VdXtasxZ/hfU1TUsRK892lSzjJamiJs1YQr2xH2NXh7dWzy/9tRPtbUN59bM49a4eBszdDj+MO1RaW1TUgbblzhYvMno2rWrSodABmLOxMJ8yUO7SDqWfhoXrjf8Xhsm6bWDi1MXnePcnbvCzMwMXewdm5zzTs0d6bWm2AOAjKuXkJJ+Chu2b8WH322qP7c9V04wRWxf4mDxRkTUCU0JGyu9vnYjW3qtmSrE3tYO/X376BR6LncHE3RxbFq8FZYUS69vFt+SXqeeT8fc5a/h039ukbZ5e3q1O36izozFm4yGDg1WOgQyEHMmFuZLPqsXvopHx0UB0H0urVxreSwrS0us/8vb0meaAQxmaHp7s6yiAv/cvRNbftmucz59Rg4c0u74SX5sX+Jg8Saj2tpapUMgAzFnYmG+5KWZliPx2G+YGP0c4n9LRmV1NczNzKXn4kL6D5L279rFGYDuLVJ/n/rF6wtLbuGdL9bhb1s24kzmhTZdl0wL25c4WLzJKDX1hNIhkIGYM7EwX/LSTNmxP/UosvJvYMm69wEA9ra20u1SaysrPBE5FSMGDsGQ+wIA6D4zpxl8oD3iNPXuKFR9Fjz6lLxfgmTD9iUOThVCRNRJaW6Daty+U9+jpplKRGPp3P+n837iqHAcOnUCIwODYHN3/VHtReZ/OVi/yLyPuyeu5OdK29//0xJMHDlavi9A1EmxeJORr6+f0iGQgZgzsTBf8nLSM2oUaFiBoTlTwsbC3Mwc44JHYOWXnwEAMnOuN9lvWuhY5JQU4V97dgEA3DgJr0lj+xIHb5vKiH/wxcOciYX5kpeTg4Pe7c4O+os6DRsra8wYOwHOjk6wu/tsXPqVS0326+vXB0P69pfeuzmzeDNlbF/iYPEmo8RELuorGuZMLMyXvJya6WGzULX9poy9rR2Ahgl4tV3MyICT1pxurncHPJBpYvsSB4s3IqJOytFOf8/bE5FT23wOOxubZj+zt7aBylwlvXe4W+gRUfuweJORU6PZyMn0MWdiYb7k1XiZKo0e7h5tPoe9jW2zn3m6e8CrW8O5uPyVaWP7EgeLNxmFh49ROgQyEHMmFuZLXnY2NjA3a/rPgLsBz6bZNSreVsxfBADo28sX48eNR99evvjwlaX44W9x7QuWjI7tSxws3mQUH/+r0iGQgZgzsTBf8jI3N4eDXdNbmY2nEGmJdvFmbWmFh8MjEP/pZmyJfV/KV8TwMNzX06f9AZNRsX2Jg8WbjKq1FmMmMTBnYmG+5Kfv1qm5edv/abC3bSjeNAvOe7q6w97WjvkSDPMlDs7zRkTUiWlPyOvp6o43n1tg0PHaPW+NJ/clIuNg8SajqKhJSodABmLOxMJ8yU+7+Pr1k00GDyrQHrDQuBeP+RIL8yUO3jaVUVraSaVDIAMxZ2JhvuSn0rpFei+jQbWnCmk8FQjzJRbmSxws3mSUnZ2ldAhkIOZMLMyX/Ax5vk0fO5uGgs2+UfHGfImF+RIHizciok5M1c7iTXvAgvZrIjIeFm8yCgkZrnQIZCDmTCzMl/y6Ojm363jtZ94sVZY6nzFfYmG+xMHiTUaVlZVKh0AGYs7EwnzJ7/GIybBQWeClx565p+O1b7tWNppqgvkSC/MlDhZvMjp9Ok3pEMhAzJlYmC/5BfXrj8NffI8Xps9q97kaF2/Ml1iYL3GweCMi6uSsLC3bte7oiIFDAAD3+w+QKyQiagHneZNRnz73KR0CGYg5EwvzZZqWv/AKUtJPYUrYWJ3tzJdYmC9xsHiTkZeXl9IhkIGYM7EwX6aph3s39HAf32Q78yUW5kscvG0qo717k5QOgQzEnImF+RIL8yUW5kscRine4uLi4OfnBxsbGwQHB2Pfvn2tHhMbGwszMzOdH09Pz3afl4iIiOj3RPbibdu2bYiOjsbSpUtx/PhxhIaGYtKkSbh69Wqrx/r7+yMnJ0f6SUtrGPnSnvN2FBcXF6VDIAMxZ2JhvsTCfImF+RKHmVqtVst5whEjRmDw4MHYuHGjtK1v376YOXMmVq1a1exxsbGx+P7773Hq1ClZz6sRFHQ/du9ObPsXISIiIlLIxIkP4ujRo3o/k3XAwu3bt5GSkoLFixfrbI+MjMSBAwdaPf7SpUvw8vKClZUVRowYgZUrV6J37973fN4NGzZgw4YNAIDc3Fzs2PETAKB//wFwcuqCw4cPAgA8PDwRHByCnTt3AAAsLS0RFTUJycn7UFRUBAAIDx+DrKwsXLx4AQAwcOAg2Nra4ujR3wAAPXp4IScnG5pa2NraBhMmRGLv3iSUlBQDAMaOHY/MzMvIzLwMABgyJAgqlQrHjqUAAHr18oa/fwB27/4VAGBv74Bx48Zjz54ElJeXAQAiIiKRkZGOa9fqexyHDg1GbW0tUlNPAAB8ff3g6+uHxMQEAICTUxeEh49BfPyvqL47B1NU1CSkpZ2U1rELCRmOyspKaY6fPn3ug5eXl/T8g4uLC8LCRmPXrl9w584dAMDkyVORknIUN27kAgBGjBiFkpJinD17BgDQr58/3N27ITm5/ta2m5s7Ro4chZ07d6Curg7m5uaYPHkqDh06iIKCfABAWNho5Ofn4dy5DKPmadCgwdi16xcAwOnTp/Daa0uZJxPPk6Y9/f3v78Pf3595MvE8adrTiRPH8corf2aeTDxPQH17+vbbr9GjRw/myUTy1BJZe96ys7Ph5eWFpKQkhIeHS9uXL1+Ob775BhkZGc0e+8svv6C0tBQBAQHIy8vDihUrkJ6ejtOnT6O6uvqez6vRET1vO3b8hKlTHzLqNUhezJlYmC+xMF9iYb5MS0s9b2165u2NN95oMpig8U9iYqK0f+PJHtVqdasTQE6aNAmPP/44Bg8ejIiICOzYUV8Bf/nll+06LxEREdHvSZtum77yyit4+umnW9zH29sbFhYWUKlUyM3N1fksLy8PHh4eBgXm4OCAgQMH4vz583Bzc5PtvMY0efJUpUMgAzFnYmG+xMJ8iYX5Ekebet7c3NwQEBDQ4o+dnR2srKwQHByM+Ph4nePj4+MRGhpqUGBVVVVIT09H9+7dZT2vMaWk6O/eJNPFnImF+RIL8yUW5kscsk8VEhMTg82bN+Pzzz/H2bNnER0djezsbMyfP1/aZ+3atQgICNA5bvHixUhKSsLly5dx+PBhzJw5E+Xl5ZgzZ06bz6s0zcORJA7mTCzMl1iYL7EwX+KQfXmsWbNm4ebNm1ixYgVycnIQGBiInTt3wsfHR9qnoKCgySCD69ev44knnkBBQQHc3d0xcuRIHDp0SDquLeclIiIi+r2TfZ43U9URo03z8/Ph7u5u1GuQvJgzsTBfYmG+xMJ8mZZ2jzalttHMl0PiYM7EwnyJhfkSC/MlDhZvMtJMAEjiYM7EwnyJhfkSC/MlDhZvRERERALpNM+8ubm5wdfX16jX4PMC4mHOxMJ8iYX5EgvzZVoyMzNRUFCg97NOU7x1hJCQkGYfLiTTxJyJhfkSC/MlFuZLHLxtSkRERCQQFm9EREREAmHxJqMXXnhB6RDIQMyZWJgvsTBfYmG+xMFn3oiIiIgEwp43IiIiIoGweCMiIiISCIs3IiIiIoGweJNBXFwc/Pz8YGNjg+DgYOzbt0/pkKgFq1atwrBhw+Dk5AR3d3dMmzYNp06dUjosaoOVK1fCzMwML730ktKhUAtycnIwZ84cuLu7w8bGBgMGDEBSUpLSYZEetbW1ePPNN6V/w/z8/PDGG2+gpqZG6dCoBSze2mnbtm2Ijo7G0qVLcfz4cYSGhmLSpEm4evWq0qFRMxITE7FgwQIcOHAACQkJsLCwQEREBAoLC5UOjVpw6NAhbNy4EYMHD1Y6FGrBrVu3EBYWBrVajZ9//hlnz57Fp59+im7duikdGunx3nvvYd26dfjkk0+Qnp6Ojz/+GOvWrcOqVauUDo1awNGm7TRixAgMHjwYGzdulLb17dsXM2fO5B9+QZSVlaFLly7Yvn07pk2bpnQ4pEdxcTGGDh2KjRs3Yvny5QgMDMTatWuVDov0WLp0KZKSkpCcnKx0KNQGU6dOhaurK7788ktp25w5c3Dz5k3s2LFDwcioJex5a4fbt28jJSUFkZGROtsjIyNx4MABhaIiQ5WWlqKurg4uLi5Kh0LNeOGFFzBz5kyMHz9e6VCoFdu3b8eIESMwa9YsdOvWDUFBQVi7di3YT2CaHnjgAezZswfp6ekAgDNnziAhIQGTJ09WODJqiYXSAYisoKAAtbW18PDw0Nnu4eGB3bt3KxQVGSo6OhpBQUEYNWqU0qGQHhs3bsSFCxewZcsWpUOhNrh06RLi4uKwaNEiLFmyBCdOnMDLL78MAHxW0QS99tprKC0txYABA6BSqVBTU4O//vWvWLBggdKhUQtYvMnAzMxM571arW6yjUxTTEwM9u/fj/3790OlUikdDjWSkZGBpUuXYt++fbCyslI6HGqDuro6hISESI+N3H///Th//jzWrVvH4s0Ebdu2DV999RW+/fZbDBw4ECdOnEB0dDT8/Pwwb948pcOjZvC2aTu4ublBpVIhNzdXZ3teXl6T3jgyPYsWLcJ3332HhIQE9O7dW+lwSI+DBw+ioKAAgYGBsLCwgIWFBZKSkhAXFwcLCwtUV1crHSI10r17dwwYMEBnW//+/TmIy0S9+uqrWLx4MWbPno1BgwbhmWeeQUxMDJ/ZNnEs3trBysoKwcHBiI+P19keHx+P0NBQhaKitoiOjsa3336LhIQEBAQEKB0ONWP69OlIS0vDiRMnpJ+QkBDMnj0bJ06cYG+cCQoLC0NGRobOtnPnzsHHx0ehiKglFRUVTe46qFQq1NXVKRQRtQVvm7ZTTEwMnnnmGQwfPhxhYWH47LPPkJ2djfnz5ysdGjVj4cKF2LJlC7Zv3w4XFxep59TBwQEODg4KR0fanJ2d4ezsrLPN3t4eXbt2RWBgoDJBUYsWLVqE0NBQvPvuu5g1axaOHz+OTz75BCtXrlQ6NNJj2rRpWL16Nfz8/DBw4EAcP34ca9aswbPPPqt0aNQCThUig7i4OPztb39DTk4OAgMD8eGHHyI8PFzpsKgZzT2PuGzZMsTGxnZsMGSwsWPHcqoQE/fzzz9j6dKlyMjIgLe3N1566SW8/PLLfBbYBJWWluLNN9/EDz/8gLy8PHTv3h2zZ8/GW2+9BRsbG6XDo2aweCMiIiISCJ95IyIiIhIIizciIiIigbB4IyIiIhIIizciIiIigbB4IyIiIhIIizciIiIigbB4IyIiIhIIizciIiIigbB4I+oEzMzMWv3x9fVFbGysyc+CP3bsWIwdO1Z631zMX3zxBfr27QsrKytpiS1926jt5s6dK/150c6BnFasWCFdo2fPnka5BpHouLYpUSdw8OBBnfczZszAkCFDdJYDs7a2hru7OyZOnNjB0bXP888/3yTm7OxsvPDCC3jqqaewadMm2NjY6N1GhvP09MQPP/wAJycno5z/D3/4AyIiIvDOO+8gNTXVKNcgEh2LN6JOYOTIkTrvra2t4ebm1mQ7AOF6O3r27Nkk5vPnz6O2thZz5szBAw88AABISkpqsq29qqurYW1tLcu5RGFtba33z41cvLy84OXlBXd3d6Ndg0h0vG1KRBJ9tyA129LT0xEVFQV7e3t4e3tj06ZNAIAtW7YgICAADg4OGDduHC5evKhzfGpqKh566CG4uLjA1tYWYWFh2LdvX5vi2bp1KwICAmBtbY2BAwfihx9+aDXmuXPnSrf0HnzwQZiZmTW7zZAYNdc5deoUoqKi4ODggMcff7zN59Acf/78eUyZMgUODg7w8fHB8uXLUVdX1+R7paamYsaMGXB1dYWtrS38/f2xatWqdv9eV65c2eLt84ULF7Z6jsY03y0tLQ3jxo2DnZ0dunfvjrfeekvnu507dw4zZsxAt27dYGNjA29vbzz22GOoqakx+JpEnRmLNyJqk8ceewxTpkzB9u3bERwcjOeeew5Lly7F+vXrsXr1amzatAkZGRl48sknpWOOHTuG0NBQFBYWYuPGjfjXv/4FV1dXREREICUlpcXr7d69G08++ST69u2Lf//733j11VcRHR2NjIyMFo9788038cknnwAA1q1bh4MHDza77V5ifPjhhzFmzBj89NNPWLRokcHnmDFjBsaPH4/t27dj+vTpWLZsGb788kudfX777TeMGjUKFy9exIcffoiff/4ZMTExuH79ert/r7Nnz8bBgwdx8OBBKf49e/ZI2zS/l3sxffp0REREYPv27XjyySfxzjvvYPny5dLnU6dORVZWFtavX49du3Zh9erVsLa21lu8ElEL1ETU6fj4+KifeuqpJtuXLVumbvzXgmbbl19+KW0rLCxUq1QqddeuXdXFxcXS9o8//lgNQJ2ZmalWq9Xq8ePHqwMCAtTV1dXSPjU1NeqAgAD1ww8/3GKMoaGh6v79+6tra2ulbYcOHVIDUI8ZM6bFmOPj49UA1Hv27GlxmyExaq7z0UcfNYm1LefQHP/FF1/oHBsYGKieMGGCzrbRo0ere/bsqS4vL9f7u2nP71Xbiy++qPb19W3z/nPmzFH7+Pg02a75bqtWrdLZ/vzzz6sdHBzURUVF6vz8fDUA9Y8//tjma3l5ebU5NqLOhD1vRNQmkyZNkl67uLigW7duGDlypM6D6wEBAQCAa9euobKyEklJSXjsscdgbm6Ompoa1NTUQK1WIyIiAnv37m32WrW1tThy5AhmzpwJc/OGv6ZGjBgBX19f2b7TvcQ4Y8aMdp1jypQpOu8DAwNx9epV6X1FRQWSk5Px1FNPwc7OTpaYm3Py5EkMHjy4zfu3Rvs2MlDfy1dWVoZTp07B1dUVvXv3xpIlS7Bx40acP39etusSdTYs3oioTVxcXHTeW1lZ6d0GAFVVVSgsLERtbS3eeecdWFpa6vysXbsWRUVFzd4uKygowJ07d+Dh4dHkM33b7tW9xNi9e/d2naNr1646x1tbW6Oqqkp6r9m/uYEj7fm9alOr1Th16hSGDBnS6r5t1Tg3mvdZWVkwMzNDfHw8QkJC8Prrr6Nfv37o3bs31q9fL9v1iToLjjYlIqNwdnaGubk5Fi5ciGeffVbvPtq9atrc3NxgaWmJGzduNPnsxo0b8PHxUSzGxgM62vM99XFxcYG5uTmysrJki1mfK1euoLS0VNaetxs3bqB3794674H6EaQA0Lt3b3z11VdQq9VITU3F2rVrsWDBAvj6+ur07BJRy1i8EZFR2NvbY/To0UhNTcXQoUMNKmBUKhWGDRuG77//HrGxsdKxhw8fRmZmpmzFW3tilPMc2uzs7PDAAw/g66+/xltvvQVbW1ujXC87OxsAZL0N/c9//hNLliyR3m/duhUODg4IDAzU2c/MzAxBQUFYs2YN/vGPf+DUqVMs3ogMwOKNiIxmzZo1CA8PR1RUFObNm4fu3bujoKAAx44dQ21tLVavXt3ssW+//TYiIyMxffp0vPjii8jPz8eyZcvg6elpMjHKeQ5tH3zwAcaMGYNRo0bhz3/+M3r27IlLly7hxIkT+PTTT2W5nr29PQDg+++/R01NjSxzt23cuBF1dXUYNmwYdu3ahc8//xyxsbFwdnbGyZMnER0djVmzZuG+++5DbW0tNm/eDAsLC4wfP77d1ybqTPjMGxEZzdChQ3HkyBG4urriT3/6EyIjIxEdHY20tDSEh4e3eGxERAS++eYbZGRk4JFHHsH777+Pjz76CP7+/iYTo5zn0DZs2DAkJyejV69eePnllzF58mS8//770nNwclxv8ODBmD9/PjZs2ICnn37a4Bj1+fHHHxEfH4+HHnoIX3/9Nd544w1p6hFPT094e3tjzZo1eOihh/DEE08gOzsbO3bsQHBwsCzXJ+oszNRqtVrpIIiIyPTNnTsXiYmJuHDhAszMzKBSqQDUT9L79ttv486dO7CwaN8NHbVajdraWsybNw//+9//pLntiKgBe96IiKjNrly5AktLSzz44INGOf+7774LS0tLfPXVV0Y5P9HvAZ95IyKiNomNjcVLL70EAHB0dDTKNebNm4eJEycCaJh6hoh08bYpERERkUB425SIiIhIICzeiIiIiATC4o2IiIhIICzeiIiIiATC4o2IiIhIICzeiIiIiATC4o2IiIhIIP8HWyVOjVhEgpUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pq = \"Shear Viscosity\"\n",
    "tc_avg = tc.viscosity_df[(pq, \"Mean\")]\n",
    "tc_std = tc.viscosity_df[(pq, \"Std\")]\n",
    "\n",
    "\n",
    "rescale = pt.total_plasma_frequency * pt.a_ws**2 * pt.species_masses[0] * pt.total_num_density * 0.0654\n",
    "fig, ax = plt.subplots(1,1)\n",
    "ax.plot(tc.viscosity_df[\"Time\"].iloc[:,0].to_numpy()*1e12,\n",
    "       tc_avg / rescale,\n",
    "       label = r'$\\mu$')\n",
    "\n",
    "ax.fill_between(\n",
    "    tc.viscosity_df[\"Time\"].iloc[:,0].to_numpy()*1e12,\n",
    "    (tc_avg - tc_std) / rescale,\n",
    "    (tc_avg + tc_std) / rescale,\n",
    "    alpha = 0.2)\n",
    "\n",
    "ax.plot(tc.viscosity_df[\"Time\"].iloc[:,0].to_numpy()*1e12,\n",
    "       tc_avg.expanding().mean()/rescale,\n",
    "       label = r'Moving avg')\n",
    "ax.set(xlabel = r'Time difference $\\tau$ [ps]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "I am missing a factor of 2 somewhere and can't figure out where.\n",
    "\n",
    "To be continued."
   ]
  }
 ],
 "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": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}