{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d68537ba",
   "metadata": {},
   "source": [
    "(BART_introduction)=\n",
    "# Bayesian Additive Regression Trees: Introduction\n",
    ":::{post} Dec 21, 2021\n",
    ":tags: BART, nonparametric, regression \n",
    ":category: intermediate, explanation\n",
    ":author: Osvaldo Martin\n",
    ":::"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7c087cca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on PyMC v5.28.0+58.gf58491a3\n"
     ]
    }
   ],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "import arviz as az\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pymc as pm\n",
    "import pymc_bart as pmb\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "%config InlineBackend.figure_format = \"retina\"\n",
    "\n",
    "print(f\"Running on PyMC v{pm.__version__}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "25cf7b45",
   "metadata": {},
   "outputs": [],
   "source": [
    "RANDOM_SEED = 5781\n",
    "np.random.seed(RANDOM_SEED)\n",
    "az.style.use(\"arviz-variat\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "444df604",
   "metadata": {},
   "source": [
    "## BART overview"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86f379df",
   "metadata": {},
   "source": [
    "Bayesian additive regression trees (BART) is a non-parametric regression approach. If we have some covariates $X$ and we want to use them to model $Y$, a BART model (omitting the priors) can be represented as:\n",
    "\n",
    "$$Y = f(X) + \\epsilon$$\n",
    "\n",
    "where we use a sum of $m$ [regression trees](https://en.wikipedia.org/wiki/Decision_tree_learning) to model $f$, and $\\epsilon$ is some noise. In the most typical examples $\\epsilon$ is normally distributed, $\\mathcal{N}(0, \\sigma)$. So we can also write:\n",
    "\n",
    "$$Y \\sim \\mathcal{N}(\\mu=BART(X), \\sigma)$$\n",
    "\n",
    "In principle nothing restricts us to use a sum of trees to model other relationship. For example we may have:\n",
    "\n",
    "$$Y \\sim \\text{Poisson}(\\mu=BART(X))$$\n",
    "\n",
    "One of the reason BART is Bayesian is the use of priors over the regression trees. The priors are defined in such a way that they favor shallow trees with leaf values close to zero. A key idea is that a single BART-tree is not very good at fitting the data but when we sum many of these trees we get a good and flexible approximation."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e239c2c0",
   "metadata": {},
   "source": [
    "## Coal mining with BART\n",
    "\n",
    "To better understand BART in practice we are going to use the oldie but goldie coal mining disaster dataset. One of the classic examples in PyMC. Instead of thinking this problem as a switch-point model with two Poisson distribution, as in the original PyMC example. We are going to think this problem as a non-parametric regression with a Poisson response (this is usually discussed in terms of [Poisson processes](https://en.wikipedia.org/wiki/Poisson_point_process) or [Cox processes](https://en.wikipedia.org/wiki/Cox_process), but we are OK without going into those technicalities). For a similar example but with Gaussian processes see [1](https://github.com/aloctavodia/BAP/blob/master/code/Chp7/07_Gaussian%20process.ipynb) or [2](https://research.cs.aalto.fi/pml/software/gpstuff/demo_lgcp.shtml). Because our data is just a single column with dates, we need to do some pre-processing. We are going to discretize the data, just as if we were building a histogram. We are going to use the centers of the bins as the variable $X$ and the counts per bin as the variable $Y$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "85bdba1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "try:\n",
    "    coal = np.loadtxt(Path(\"..\", \"data\", \"coal.csv\"))\n",
    "except FileNotFoundError:\n",
    "    coal = np.loadtxt(pm.get_data(\"coal.csv\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5d1221b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# discretize data\n",
    "years = int(coal.max() - coal.min())\n",
    "bins = years // 4\n",
    "hist, x_edges = np.histogram(coal, bins=bins)\n",
    "# compute the location of the centers of the discretized data\n",
    "x_centers = x_edges[:-1] + (x_edges[1] - x_edges[0]) / 2\n",
    "# xdata needs to be 2D for BART\n",
    "x_data = x_centers[:, None]\n",
    "# express data as the rate number of disaster per year\n",
    "y_data = hist"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98e0da5c",
   "metadata": {},
   "source": [
    "In PyMC a BART variable can be defined very similar to other random variables. One important difference is that we have to pass ours Xs and Ys to the BART variable, this information is used when sampling trees, the prior over the sum of trees is so huge that without any information from our data this will be an impossible task. \n",
    "\n",
    "Here we are also making explicit that we are going to use a sum over 20 trees (`m=20`). Low number of trees like 20 could be good enough for simple models like this and could also work very good as a quick approximation for more complex models in particular during the early stage of modeling, when we may want to try a few things as quickly as possible in order to better grasp which model may be a good idea for our problem. In those cases once we have more certainty about the model(s) we really like we can improve the approximation by increasing `m`, in the literature is common to find reports of good results with numbers like 50, 100 or 200."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6ac663f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "PGBART: [μ_]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "06ce707fe81040db9a137456b3741f99",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 25 seconds.\n",
      "The rhat statistic is larger than 1.01 for some parameters. This indicates problems during sampling. See https://arxiv.org/abs/1903.08008 for details\n"
     ]
    }
   ],
   "source": [
    "with pm.Model() as model_coal:\n",
    "    μ_ = pmb.BART(\"μ_\", X=x_data, Y=np.log(y_data), m=20)\n",
    "    μ = pm.Deterministic(\"μ\", pm.math.exp(μ_))\n",
    "    y_pred = pm.Poisson(\"y_pred\", mu=μ, observed=y_data)\n",
    "    idata_coal = pm.sample(random_seed=RANDOM_SEED)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7eb4c307",
   "metadata": {},
   "source": [
    "Before checking the result, we need to discuss one more detail, the BART variable always samples over the real line, meaning that in principle we can get values that go from $-\\infty$ to $\\infty$. Thus, we may need to transform their values as we would do for standard Generalized Linear Models, for example in the `model_coal` we computed `pm.math.exp(μ_)` because the Poisson distribution is expecting values that go from 0 to $\\infty$. This is business as usual, the novelty is that we may need to apply the inverse transformation to the values of `Y`, as we did in the previous model where we took $\\log(Y)$. The main reason to do this is that the values of `Y` are used to get a reasonable initial value for the sum of trees and also the variance of the leaf nodes. Thus, applying the inverse transformation is a simple way to improve the efficiency and accuracy of the result. Should we do this for every possible likelihood? Well, no. If we are using BART for the location parameter of distributions like Normal, StudentT, or AsymmetricLaplace, we don't need to do anything as the support of these parameters is also the real line. A nontrivial exception is the Bernoulli likelihood (or Binomial with n=1), in that case, we need to apply the logistic function to the BART variable, but there is no need to apply its inverse to transform `Y`, PyMC-BART already takes care of that particular case.\n",
    "\n",
    "OK, now let's see the result of `model_coal`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f9e418f2",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1223,
       "width": 2023
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rates = idata_coal.posterior[\"μ\"] / 4\n",
    "dt_plot = az.from_dict(\n",
    "    {\n",
    "        \"posterior\": {\"rate\": rates},\n",
    "        \"observed_data\": {\"rate\": y_data / 4},\n",
    "        \"constant_data\": {\"years\": x_centers},\n",
    "    },\n",
    "    dims={\"rate\": [\"x_dim_0\"], \"years\": [\"x_dim_0\"]},\n",
    ")\n",
    "\n",
    "az.plot_lm(\n",
    "    dt_plot,\n",
    "    group=\"posterior\",\n",
    "    x=\"years\",\n",
    "    y=\"rate\",\n",
    "    visuals={\"observed_scatter\": {\"alpha\": 0.75}},\n",
    "    figure_kwargs={\"figsize\": (10, 6)},\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81f778de",
   "metadata": {},
   "source": [
    "The white line in the following plot shows the median rate of accidents. The darker orange band represents the HDI 50% and the lighter one the 94%. We can see a rapid decrease in coal accidents between 1880 and 1900. Feel free to compare these results with those in the original {ref}`pymc:pymc_overview` example.\n",
    "\n",
    "In the previous plot, the white line is the mean over 4000 posterior draws, and each one of those posterior draws is a sum over `m=20` trees. \n",
    "\n",
    "\n",
    "The following figure shows two samples from the posterior of $\\mu$. We can see that these functions are not smooth. This is fine and is a direct consequence of using regression trees. Trees can be seen as a way to represent stepwise functions, and a sum of stepwise functions is just another stepwise function. Thus, when using BART we need to know that we are assuming that a stepwise function is a good enough approximation for our problem. In practice, this is often the case because we sum over many trees, usually values like 50, 100, or 200.\n",
    "Additionally, we often average over the posterior distribution. All this makes the \"steps smoother\", even when we never really have a smooth function for example with Gaussian processes or splines. A nice theoretical result, tells us that in the limit of $m \\to \\infty$ the BART prior converges to a [nowheredifferentiable](https://en.wikipedia.org/wiki/Weierstrass_function) Gaussian process.\n",
    "\n",
    "The following figure shows two samples of $\\mu$ from the posterior."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0c982c16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x1000 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1023,
       "width": 1223
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.step(x_data, rates.sel(chain=0, draw=[3, 10]).T);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7d04e15",
   "metadata": {},
   "source": [
    "## Biking with BART"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abf8c799-b89e-48dc-a1c9-8366325a530a",
   "metadata": {},
   "source": [
    "To explore other features offered by PyMC-BART. We are now going to move on to a different example. In this example, we have data about the  number of bike rentals in a city, and we have chosen four covariates; the `hour` of the day, the `temperature`, the `humidity`, and whether is a `workingday` or a weekend. This dataset is a subset of the [bike_sharing_dataset](http://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "099f4c0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "try:\n",
    "    bikes = pd.read_csv(Path(\"..\", \"data\", \"bikes.csv\"))\n",
    "except FileNotFoundError:\n",
    "    bikes = pd.read_csv(pm.get_data(\"bikes.csv\"))\n",
    "\n",
    "features = [\"hour\", \"temperature\", \"humidity\", \"workingday\"]\n",
    "\n",
    "X = bikes[features]\n",
    "Y = bikes[\"count\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5f8410b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "CompoundStep\n",
      ">NUTS: [α]\n",
      ">PGBART: [μ]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6421bc5d587c40a9a278c5247930d2a2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 500 tune and 2_000 draw iterations (2_000 + 8_000 draws total) took 83 seconds.\n"
     ]
    }
   ],
   "source": [
    "with pm.Model() as model_bikes:\n",
    "    α = pm.Exponential(\"α\", 1)\n",
    "    μ = pmb.BART(\"μ\", X, np.log(Y), m=50)\n",
    "    y = pm.NegativeBinomial(\"y\", mu=pm.math.exp(μ), alpha=α, observed=Y)\n",
    "    idata_bikes = pm.sample(\n",
    "        tune=500, draws=2000, compute_convergence_checks=False, random_seed=RANDOM_SEED\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "731a0cb6",
   "metadata": {},
   "source": [
    "### Convergence diagnostics\n",
    "\n",
    "To check sampling convergence of BART models we recommend a 2 step approach. \n",
    "\n",
    "* For the non-BART variables (like $\\alpha$ in `model_bikes`) we follow the standard recommendations, like checking R-hat (<= 1.01), and ESS (< 100x number of chains) numerical diagnostics as well as using trace plots or even better rankplots\n",
    "* For the BART variables we recommend using the `az.plot_convergence_dist` function. \n",
    "\n",
    "We can see such checks next:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7c3ac760",
   "metadata": {},
   "outputs": [
    {
     "data": {
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XLTcxE6A4rEdvZo8PoPSsR8VlnxkgN9ajgXHeAaAwrEe5ce4GoPDcM95/zjMMTwp3UXDPPPNMfO5zn4tnnnkm54R9LkZSwM1Hd3d3vP/97485c+bk/DE2SCg2caBw2tra4hvf+Eb88pe/zKmqbH9985vfjHe9611Fuz4jk1jQP1dddVV85zvfKdl4RxxxRHzzm9+MysrKko3J8HfZZZfFT37yk2hubi7ZmNtuu21ceumlscUWW5RszGL79re/HVdffXXRrr/33nvHD37wg6ipqSnaGIxc4kDu/vznP8eFF14YS5YsKdmY48ePjwsuuCAOOuigko3JyCQWlId8IYOJOFB48oUMNeLAwMgVMhw8/fTT8c53vrOkY44dOzYuvPDCOPjgg0s6brHIE8LI1tbWFp/61KcK8qTVvnzqU5+K//f//l/Rrl9KYiZAcViP3sweH0DpWY+Kyz4zQG6sR/3nvANA4ViPcuPcDUBhuWd8YJxnGL6S5Z4Aw8/KlStj7ty5BQ229O3666/Pa3MESkEcKIznn38+3v3ud8cvfvGLoialoVjEgvxdccUVJU0IRkTcfvvtccYZZ/S7mjVszMMPP1zSG3IjIubOnRvvfe97409/+lNJxy2Wyy+/vKiJmIiIv/71r3HqqacWvEI7RIgD+Xj66adLeqA/ImLFihVxyimnxLe//e2SjsvIIxaUh3whg4k4UFjyhQxF4kD/yRVC/61atSpOPfXU+M53vjPk10x5QhjZOjo64pRTTinqTRcRvTctXH755UUdoxTETIDisB5tnD0+gNKyHhWffWaA7KxH/ee8A0DhWI9y49wNQOG5Z7z/nGcY3irKPQGg/+bPnx/f//73yz0NoAgeffTR+NSnPhWrV68u91SAEvnTn/6U87peU1MT++23X7ztbW+LrbfeOhobG2P06NHR0tISa9asiXnz5sUjjzwS9957b6xatSrr9f785z/Hd77znfjsZz870E8DyqqlpSVOP/30uPjii+Poo48u93T67fbbb4/LLrssa79Ro0bFYYcdFrvvvntsvvnmMWrUqGhtbY2FCxfGo48+Gr/73e9i0aJFGa9x7733xte//vU4//zzCzR7KK/hEgdK5eqrr441a9bEV77ylXJPBQpqJMcC+ULoNRzjgHwh5GeoxwG5QiiMq666Kpqbm+Pcc88t91T6RZ4Q+NrXvhZ/+ctfsvabPn16HHnkkbHzzjvHtGnTora2NtatWxfPPfdcPPTQQ/H73/8+mpqaMl7jsssui8033zyOOOKIQk2/pMRMgOKxHg0+9viAkch6VFz2mQFyYz3qH+cdAArLepSdczcADCbOMwx/CnfBEHbeeedFa2truacBFNg//vGPOOGEE3L6+d50001j3333jbe97W2x2WabxZQpU6K+vj5SqVSsXbs21q1bF8uXL4+nnnoqnnrqqfjXv/4VTzzxhCdUwCCzevXqOO+887L2q6mpiU9+8pNx3HHHxdixY/vst+eee8Zxxx0X7e3tceutt8b3vve9WL58ecZr/+hHP4qDDjoodtppp7znD/01fvz42G233WKHHXaIrbfeOqZPnx4TJ06M2tra6OzsjNWrV8eyZcvi4YcfjgcffDDuvffe6O7uznjN7u7u+M///M+YOHFi7LXXXiX6TArnpZdeii996UsZ+6RSqTjxxBPjk5/8ZDQ0NLypffbs2XHggQfGmWeeGTfffHNccsklsWbNmj6v98tf/jL23HPPOOywwwY8f8iXOJC72tra2GWXXWLHHXeM7bbbLmbMmBGTJ0+O+vr6SCQSsXr16li5cmX861//ir/97W9x5513Zt1MjYi48cYbY9KkSXHKKaeU4LOAjRMLCke+kKFKHMhMvpCRQBx4lVwhI0kikYgtttgiZs+eHZtttllsttlmsckmm0RjY2PU19dHQ0NDpNPpWLduXaxbty7mzZsXTzzxRPztb3+Lhx56KKen1P7sZz+LWbNmxUc+8pESfEaFI08I3HHHHXHjjTdm7DNmzJj4/Oc/H+9+97sjmUy+qX377bePd73rXfHFL34xfvCDH8SPf/zjjLHzS1/6Uuywww4xc+bMAc+/lMRMgOKxHg2cPT6AgbMeFZ99ZoDsrEf947wDQGFZj7Jz7gaAwcR5hpEhkfaXKQX24IMP5n3oNZlMxoQJE+Lll1/us8+73/3uuPjiiwc6vWHjv//7v+OLX/zim96fTCZjn332iXvvvbfPj73ooovi2GOPLeb0GOHEgf6bN29efPCDH8z4JIlEIhEHHnhgfOITn4i3vvWteY+xfPnyuPvuu+NPf/pT3HPPPdHd3R3f/OY3413velf/Jw4bIRbk7pJLLokf/ehHGftsuummcdlll8XWW2+d9/WXL18eZ511Vtx///0Z++22225xww035H19eKOPfvSjfX6/TZ8+PY466qg49NBDY7vttotEIpHzdefPnx/XXHNN3HTTTVk3WSdMmBC//e1vMybQB6MTTzwx49NP6urq4sorr8zrhuP58+fHxz/+8XjhhRf67DNhwoT4wx/+sNHkDvSHOJC7K6+8Mr73ve9ttG306NFx8MEHxxFHHBG77757VFVV5XzddevWxS9/+cu4+uqrsx7uTyQSccMNN8Suu+6a19whG7GgtOQLGYzEgYGTL2SoEwfyJ1fIcPP000/HO9/5zg3/3nLLLePtb3977LLLLrHLLrv0+2dz8eLFccMNN8T1118fnZ2dGftWVVXFLbfcEltssUW/xioHeUIY2datWxeHHnporFixos8+m2++eVxzzTUxY8aMnK/7l7/8JU477bRoaWnps89+++2X9XeRwUbMBCgO61Fm9vgASsN6VHz2mQGysx71j/MOAIVlPcqNczcAxeOe8fw5zzAyvLlUKhRZIpGITTbZJI466qg4++yz44Ybboi///3v8a1vfavcUxsyVqxYEd/4xjc22nbcccepwsugJw5sXEtLS3z605/OmJSeMWNG/PSnP40rrriiX0npiN5ftt7znvfEVVddFXfddVecfPLJQ+aGJYYXsaBXW1tb/OpXv8rYZ8KECfHjH/+4XwnBVz7+qquuyvo7wt/+9reYM2dOv8aATFKpVBx88MFx3XXXxZ133hlnnnlmvOUtb8nrhtyIiJkzZ8YFF1wQP/rRj2L8+PEZ+y5fvjwuueSSgUy75P785z9nTMRUVFTED37wg7wSMRG9X7frr78+Jk+e3Gef5cuXx2WXXZbXdSEf4kB+dtppp/jGN74R9913X3z961+PfffdN68D/RERo0aNipNOOil+85vfxFve8paMfdPpdJxzzjnR1dU1kGlDVmJB8cgXMlSIA/mRL2Q4EgcykytkOEomk7HzzjvHWWedFX/4wx/id7/7XXzhC1+Igw46aEDrzdSpU+Nzn/tc3HrrrbHVVltl7NvR0RGXXnppv8cqNXlC4LLLLst408XUqVPjuuuuy+umi4iIfffdN6644opIpVJ99rn33nvjzjvvzOu65SRmAhSP9Sh/9vgACs96VFz2mQFyYz3Kn/MOAIVnPcrOuRuA8nLP+Os5zzByKNxF0U2fPj0OPfTQ+OxnPxvXXXddPPTQQ/HHP/4xLr300jjhhBNit912i/r6+nJPc0i58MILN5q4mjRpUpx55pmlnxBkIQ7k5qtf/WrMmzevz/bdd989fvOb38Tuu+9esDGnTJkSp59+erz97W8v2DWhL2LBxv3f//1frFu3LmOfr3/96zF9+vQBjVNTUxOXXXZZ1NbWZuz329/+dkDjwGtVVVXFBz7wgfjDH/4Ql19+eey1115534i7Mfvuu2/8/Oc/z7qxesstt2RcWwebvp7G+4rTTz899txzz35de8qUKfGtb30rksm+0wC/+MUvYtmyZf26PvRFHMjPfvvtFz//+c/jpptuimOOOSbvg/wbM2vWrPj5z3+e9WDLCy+8ELfccsuAx4ONEQuKT76QwU4c6B/5QoYTcSA3coUMR1tuuWXceOON8YlPfCI23XTTgl9/iy22iJ/+9KdZD9Xedddd8dJLLxV8/GKQJ4SR7eWXX45f/OIXfbanUqm49NJLMx7AzGTvvfeOU089NWOf73//+/26djmImQDFYT3Kjz0+gOKwHhWffWaA7KxH/eO8A0BhWY9y49wNQGm5Zzwz5xlGDoW7KLiJEyfGZz7zmfjhD38Y999/f9x1113x/e9/P0466aTYa6+9YvTo0eWe4pB21113xR133LHRtnPOOScaGhpKPCN4M3Egf3fffXfcfPPNfbbvtttu8aMf/cjXjiFFLMjNAw88kLF9l112if33378gY02ePDk+/OEPZ+zz17/+tSBjMbKlUqk49thj449//GNccMEFMXPmzIKPsdlmm8XVV18dFRUVffbp7u7O+rSMweLuu++Op59+us/2rbbaKk488cQBjbH77rvHMccc02d7R0dH/PSnPx3QGPAKcSA/u+++e9x0003xox/9KHbdddeCX7+2tjauuuqqrJuMmTZ0oT/EgtKQL2QwEwf6T76Q4UIcyI9cIfTPuHHj4tvf/nbGOJBOp+O2224r4az6R54QuP7666Ozs7PP9ve+972xyy67DGiMT3ziE7HZZpv12f7kk0/GvffeO6AxSkHMBCge61Fu7PEBFJf1qLjsMwPkxnqUP+cdAArPepQb524Aiss947lznmFkUbiLgtt8883jlFNOif333z/GjRtX7ukMK01NTfGVr3xlo20HHHBAHHbYYSWeEWycOJCfzs7OuOiii/psnzp1alxxxRVRXV1dwlnBwIkFuZk7d27G9ne9610FHS/TH2IREc8++2x0dHQUdExGnksvvTQuuuiimDp1alHH2WmnneIDH/hAxj6/+93vijqHQvn5z3+esf2MM86IVCo14HHOOOOMqKys7LP9pptuEgMoCHEgd//+7/8eP/vZz2KnnXYq6jhjx46Nz3/+8xn7PP744xmfcgf5EguKT76QwU4c6B/5QoYTcSA/coXQf1tttVXWOJDtkO5gIE8II1tHR0f8+te/7rO9qqoqTjvttAGPU1lZGaeffnrGPtni0WAgZgIUh/UoN/b4AIrLelRc9pkBcmM9yp/zDgCFZz3KnXM3AMXlnvHcOc8wsijcBUPIpZdeGkuWLHnT++vq6uK8884rw4yAQrjxxhszHpy5+OKLo7GxsYQzAkpp/vz5Gdv33nvvgo63xRZbxJQpU/ps7+7ujkWLFhV0TEaeMWPGlGysU089NWNy4eWXX47nnnuuZPPpj5UrV8Z9993XZ/usWbPiHe94R0HGmjx5chxxxBF9tq9evXrQPwWFoUEcyF0pv1aHHXZYbLvtthn7DIWbmBk6xILiky9ksBMH+ke+kOFEHMiPXCEMTKa8V0RkfIrhYCBPCNxzzz2xZs2aPtuPOuqomDhxYkHGOuSQQ2L69Ol9tv/lL3+JVatWFWSsYhAzAYrHepQbe3wAxWU9Ki77zAC5sR7lz3kHgMKzHuXOuRsABgPnGUYehbtgiHj44Yfjl7/85UbbTj311Ix/DAGDV1dXV/z4xz/us/3ggw+OPffcs4QzAkpt3bp1fbalUqmYMWNGwcecNWtWxva1a9cWfEwolnHjxsUuu+ySsc/jjz9eotn0zx133BFdXV19th9zzDGRTBbuz/d3v/vdGdt/+9vfFmwsKIXhEAdK6eCDD87Y7mvFUDUSY4F8IbzecIkD8oXQf8MhDsgVwsC87W1vi7q6uj7bV69eHU1NTSWcUX7kCYHbbrstY/t73vOego2VSqUyPlW8s7Mzfv/73xdsvEITMwGKx3o0ONnjA0Ya61Hx2GcGyJ31KD/OOwAUh/Uod87dADAYOM8w8ijcBUNAR0dHfOlLX4p0Ov2mttmzZ8fxxx9fhlkBhXDHHXdkrJp96qmnlnA2QDlsbH1/xZgxYyKRSBR8zHHjxmVsz/RHIQxG++yzT8b2l156qUQz6Z977rknY3umquf9sccee2R8osp9990XPT09BR0Tim2ox4FSyva1evHFF0s0Eyi8kRQL5Ath44ZDHJAvhIEZ6nFArhAGJplMxqRJkzL2aW5uLtFs8idPCCNbd3d3xieuTpo0KWuR0nwdeeSRGduzxaVyEjMBisN6NHjZ4wNGEutR8dhnBsid9Sh/zjsAFJ71KD/O3QAwGDjPMPIo3AVDwA9+8IN47rnn3vT+ZDIZF154YVRUVJRhVkAh3HTTTX227bzzzjF79uwSzgYoh9GjR/fZlilhOBDZrtvY2FiUcaFYJk+enLF99erVpZlIP3R1dcXf/va3PtunT58em222WUHHTCaTsddee/XZvmbNmpgzZ05Bx4RiG8pxoNSmTJmSsd3XiqFsJMUC+ULYuOEQB+QLYWCGehyQK4SBGzt2bMb2ysrKEs0kP/KEwL/+9a+MTwHfd999C34zwZZbbhlTp07ts/2hhx4alDcTiJkAxWM9Grzs8QEjifWoeOwzA+TOepQ/5x0ACs96lB/nbgAoN+cZRiaFu2CQe/rpp+Oaa67ZaNtxxx0XO+64Y4lnBBTK0qVL4+9//3uf7e985ztLOBugXDJV1l+zZk1REoOrVq3K2J7txiYYbMaPH5+xvbW1tUQzyd+cOXOiubm5z/ZMSZOB2HvvvTO2P/DAA0UZF4plKMeBUsv2VJ+2trYSzQQKb6TEAvlC6NtQjwPyhTBwQz0OyBXCwK1du7bPtmQyGWPGjCndZPIgTwg89NBDGdv33HPPooybKb40NTXF448/XpRxB0LMBCge69HgZY8PGEmsR8VhnxkgP9aj/DjvAFAc1qP8OHcDQLk5zzAyKdwFg1hPT0+ce+650dnZ+aa2SZMmxZlnnlmGWQGFcscdd0RPT0+f7e94xztKOBugXN7ylrf02dbd3R3z588v+Jgvvvhin22TJ0/OetgPBpv29vaM7dXV1SWaSf6ybVgU60BUtus+8cQTRRkXimUox4FS6+joyNjua8VQNhJigXwhZDbU44B8IQzcUI8DcoUwcMuWLeuzberUqZFMDs5jMvKEQLanmxYrDuywww4Z2wfjjRdiJkDxWI8GL3t8wEhiPSo8+8wA+bMe5cd5B4DisB7lx7kbAMrNeYaRaXCeSAQiIuJnP/tZ/POf/9xo2znnnBMNDQ0lnhFQSPfdd1+fbTNnzoypU6eWcDZAuey6664Z2//6178WdLxnn302li5d2u/5wGC0ZMmSjO2jR48u0Uzyly0Zs9122xVl3M022yzq6ur6bJ87d25RxoViGcpxoNQWL16csd3XiqFsJMQC+ULIbKjHAflCGLihHgfkCmFgHn/88Vi7dm2f7YP5e1qeEMh0SLK+vj423XTTooy7/fbbZ2wfjHFAzAQoHuvR4GWPDxhJrEeFZ58ZIH/Wo/w47wBQHNaj/Dh3A0C5Oc8wMincBYPUokWL4rvf/e5G2w444IA47LDDSjshoKC6urri73//e5/tO+20UwlnA5TTQQcdFDU1NX2233rrrQUd75ZbbsnYfvjhhxd0PCiFbE8RmTVrVolmkr+nn346Y/vmm29elHGTyWTGTZoXX3wxWltbizI2FMNQjgOlli0J7GvFUDbcY4F8IWQ3lOOAfCEUxlCOAxFyhTBQd9xxR8b2Aw44oDQT6Qd5QhjZWlpaYsGCBX22b7rpppFIJIoydrb48tRTTxVl3IEQMwGKw3o0uNnjA0YK61Hh2WcGyJ/1KD/OOwAUh/Uof87dAFBuzjOMTBXlngCwceedd160tLS86f11dXVx3nnnlWFGQCHNnTt3oz/jr9h66637bGtvb4/7778//vKXv8RTTz0VL774Yqxbty7a29ujuro6GhoaYtq0aTFz5szYaaedYvfdd49tttmmGJ8GUABjx46No48+Om666aaNtj/yyCNx9913x/777z/gsZYuXRo33HBDn+3Tp0+Pd7zjHQMeB0qpp6cn7rnnnox9Zs+eXaLZ5G/+/Pl9tk2YMCHq6+uLNvasWbP6fAJLOp2OhQsXxpZbblm08aFQhnocKLW77rorY7uvFUPVSIgF8oWQ2VCPA/KFMHBDPQ5EyBXCQMyfPz9+9rOf9dk+derUOOSQQ0o4o/zIE8LItmDBgkin0322b7LJJkUbu6GhIcaNGxcrV67caHum+FQuYiZAcViPBjd7fMBIYT0qPPvMAPmzHuXHeQeA4rAe5c+5GwDKzXmGkUnhLhiEbr311rj33ns32nbqqafG9OnTSzwjoNCefPLJjO0bS5wsXbo0rrvuuvj1r38d69at2+jHtbS0REtLS7z88svxj3/8I2677bYN1zv22GPjuOOOi8bGxoF/AkBBnXrqqfH73/8+1q5du9H2c845J371q18N6HeAtra2+MxnPpOxKvJZZ50VqVSq32NAOdx7772xfPnyPttHjx49aA+oNjU1xerVq/tsnzFjRlHHz3b9BQsWSMYwJAzlOFBqq1atirvvvjtjn913371Es4HCGu6xQL4QshvqcUC+EAZuqMeBV8gVQv7WrVsXZ555ZrS1tfXZ55RTTomKisF5REaeEMj0tPSI0sSBvm68WLlyZbS0tERdXV1R55ArMROgeKxHg5c9PmAksR4Vln1mgP6xHuXHeQeA4rAe9Y9zNwCUi/MMI1ey3BMAXm/lypVx0UUXbbRt9uzZcfzxx5d4RkAxPPPMMxnbp02btuHtrq6u+OEPfxiHHXZY/PjHP+4zKZ3Jiy++GN/5znfigAMOiGuuuSY6OzvzvgZQPJMnT45zzjmnz/Zly5bFxz72sXj66af7df0VK1bEpz71qfjHP/7RZ59DDz00jjjiiH5dH8rpJz/5Scb2gw46KJLJwfmn76JFizK2T5gwoajjZ7v+woULizo+FMpQjgOl9stf/jLjTcwzZsyI7bbbroQzgsIZzrFAvhByM9TjgHwhDNxQjwOvkCuE/Lz44otx/PHHx2OPPdZnn/333z/e9773lXBW+ZEnBModB8aPH5+xPdv8SqncXysxExjOyh1jh9J6VGr2+ICRxHpUOPaZAfrPepQf5x0AisN61D/O3QBQLuVeu51nKJ/BfzIZRpivf/3rsWrVqje9P5lMxoUXXjhonwIM5Of555/P2D527NiI6P1D/oQTTohLL700WlpaBjxuS0tLfOtb34r3v//98dJLLw34ekDhHHPMMXHaaaf12f7CCy/E+973vvjBD36Qserya7W3t8evf/3reNe73hX3339/n/3e+ta39nlAAwaze++9N+P3dkTvz9ZgtbHf+1+r2MmYiRMnZmzPNj8YDIZ6HCilFStWxLXXXpuxj68VQ9VwjwXyhZDdcIgD8oUwMMMhDryWXCFkN3/+/Pj2t78dRx11VDz++ON99ttuu+3ikksuKeHM8idPCGT7Ocv2czpQkyZNytg+mOKAmAlQPNajwckeHzDSWI8Kxz4zQP9Zj/LjvANAcViP+s+5GwDKwXmGkUumFQaRe+65J2677baNth133HGx4447lnhGQLEsXbo0Y3tjY2MsXbo0PvKRj8QLL7xQ8PGfeOKJeM973hPXXHNNvPWtby349YH+OfXUU6Oqqiq+973vRVdX15va29ra4rvf/W5cffXVse+++8Yuu+wS22yzTTQ2NkZDQ0O0trbGmjVr4oUXXoiHH3447rnnnqx/TO22225x5ZVXRn19fbE+LSiK9vb2+NrXvpaxz0477RR77LFHiWaUv2wJ/tGjRxd1/FGjRmVsz3UDAsplOMSBUvrmN78ZTU1NfbbX1dXFhz70oRLOCApjuMcC+ULIbrjEAflC6L/hEgfeSK6QkWTp0qV9Pg29p6cnmpqaoqmpKRYtWhRz586Nf/7zn/GPf/wj0ul0xuvusssuceWVV0ZjY2Mxpl0w8oRAtp+zbD+nAzWU4oCYCVA81qPByR4fMNJYjwrDPjPAwFiP8uO8A0BxWI8GxrkbAErNeYaRS+EuGCSam5vj/PPP32jbpEmT4swzzyzthICiWr58ecb2zs7OOOGEE4qSlH7F2rVr44QTTojrrrsudtppp6KNA+TnpJNOit122y3OPvvsPmNAa2tr/OlPf4o//elP/R6noqIiPvWpT8XJJ58cqVSq39eBcvn2t78d8+bNy9jnjDPOKM1k+mnt2rUZ2xsaGoo6frbrr1mzpqjjw0ANhzhQKnfeeWfccsstGfscf/zxG55sB0PJcI4F8oWQm+ESB+QLof+GSxzYGLlCRooPfehDBX0SelVVVZx88slx0kknDYnvaXlCINvPWbnjwGA6vClmAhSP9WjwsccHjETWo4GzzwwwcNaj/DjvAFAc1qOBc+4GgFJynmHkUrgLBonvfOc7sXDhwo22nXPOOUUPxEDpdHd3Z62u/eUvfzmee+65PtunTZsW73jHO2LXXXeNiRMnxrhx46KlpSWWL18e8+bNizvvvDMeeeSR6O7uzjhOS0tLnHLKKfFf//VfMWXKlH59PkDh7bzzznH77bfHbbfdFtdee208/fTTBbt2ZWVlHH300fHpT386Zs6cWbDrQindfffdcf3112fsc+ihh8bee+9dohn1T3Nzc8b2urq6oo6f7Skera2tRR0fBmK4xIFSWLx4cZxzzjkZ+0ydOjU++clPlmhGUDjDPRbIF0J2wyUOyBdC/w2XOJCJXCHkrr6+Pt773vfGiSeeGJMnTy73dHImTwi0tLRkbC92HMh2/cEUB8RMgOKxHg0u9viAkcp6NHD2mQEGznqUO+cdAIrHelQYzt0AUCrOM4xcCnfBIPDPf/4zfv7zn2+07YADDojDDjusxDMCiqm1tTXS6XTGPn1V6J4+fXp88YtfjIMPPrjPjz3ggAPihBNOiMWLF8c3vvGNuOOOOzKOtWzZsjj77LPjJz/5SSQSieyfAFASqVQqjjnmmDjmmGPikUceiS9/+csDSg6OHTs2zjjjjDjiiCNi9OjRBZwplNaCBQvi85//fMa1dMyYMVkPsA4GXV1dGdsrKor7J3tlZWXG9s7OzqKOD/01nOJAsXV0dMQZZ5yR9WDMBRdcELW1tSWaFRTGcI8F8oWQ3XCKA/KF0D/DKQ5kI1cImY0bNy4++9nPxtFHHx1VVVXlnk7e5AkBcSB3vlYAxSPGDh72+ICRzHo0MPaZAQrDepQ75x0Aisd6VDjO3QBQCtbukStZ7gnASNfZ2Rnnnntu9PT0vKmtrq4uzjvvvDLMCiimjo6Ofn3cEUccEXfccUfGpPRrTZ06Nb773e/GFVdcEdXV1Rn73n///fHf//3f/ZoXUBzd3d1x2223xX/8x3/Ehz70oQFX9F+1alVcdNFF8fnPfz7uuOOOjf7uAYNdU1NTfPrTn47Vq1dn7PflL385Jk+eXJpJDUC2ZEexkzGpVCpje7ZkEZTDcIsDxfblL385/vGPf2Ts88EPfjDe/va3l2ZCUCDDPRbIF0J2wy0OyBdC/oZbHMhGrhAyW7lyZZx77rnx7//+73HddddlfXrhYCNPCJQ7DmS7/mCKA+X+WomZwHBW7hg7lNajYrPHB4xk1qP+s88MUDjWo9w57wBQPNajwnHuBoBSKPfa7TxD+SjcBWV29dVX9/lL/qmnnhrTp08v8YyAYutPYvqYY46Jb33rW1kTzBtz0EEHxdVXX5316XqXX355v5PmQGHdfvvtcfjhh8dZZ50Vf//736O7u7sg121ra4v//d//jTPOOCMOP/zw+J//+Z+CXBdKobu7Oz772c9mTZC/733viyOOOKJEsxqYbD/b2ZIlA5Xt+qqoM9gMxzhQTD/84Q+zHj7ZZptt4otf/GKJZgSFMRJigXwhZDYc44B8IeRnOMaBTOQKITfpdDr+9a9/xUUXXRT/9m//FpdffvmQyW/JEwLZDkeKA68SMwGKx3o0ONjjA0Y661H/2WcGKBzrUe6cdwAoHutRYTh3A0CpOM8wcincBWX03HPPxdVXX73RttmzZ8fxxx9f4hkBpZBOp/PqP3v27PjqV786oF/I9tprrzjrrLMy9lm0aFHcfvvt/R4DGLimpqY466yz4v/9v/8XL774YlHHeuGFF+Jzn/tcnHLKKbFy5cqijgWFcMEFF8T//d//Zezzlre8ZUg9GTDb2l6oDYH+Xr/YVdwhX8MxDhTLb3/72/j2t7+dsc+oUaPisssui5qamhLNCgpjuMcC+ULIbjjGAflCyM9wjAMbI1cI/bdmzZq47LLL4n3ve18888wz5Z5OVvKEQLafs2I/pXsoxQExE6B4rEflZ48PwHrUX/aZAQrLepQ75x0Aisd6NDDO3QBQas4zjFy+slAm6XQ6zj333I1Wb08mk3HhhRcKfjBMVVZW5ty3oqIivvGNb+T1MX35j//4j/jjH/8YDz74YJ99fvWrX8Uxxxwz4LGA/K1atSqOP/74eOqpp7L2nT17duyzzz6x2267xSabbBJjxoyJUaNGRUtLS6xZsyaWLFkSDz/8cDz00EPxwAMPZEzG/vnPf47HH388fvazn8XMmTML+SlBwXz/+9+PG2+8MWOfyZMnx+WXXx5VVVUlmtXAZVvfy52MKcTvH1AowzUOFMO9994bZ599dsYDMZWVlfHtb387NtlkkxLODAZuuMcC+ULIbrjGAflCyN1wjQNvJFfISPOnP/2pz7a2trZYu3ZtrFu3LubPnx//+te/4p///Gc88MADWZ8COHfu3PjgBz8Y1157bbz1rW8t8KwLR54QyPZzlu2J6gOV7fqDKQ6ImQDFYz0qL3t8AL2sR/mzzwxQeNaj3DnvAFA81qP+c+4GgHJwnmHkkn2FMvnFL34RjzzyyEbbjjvuuNhxxx1LPCOgVPL5xeaQQw6J2bNnF2TcRCIRp512WsbE9KOPPhrLly+PCRMmFGRMIDdr166NE044IWtCcI899oiTTz459txzz422NzY2RmNjY8yaNSt23333+PSnPx3PP/98XHvttXHzzTf3ebhv8eLF8ZGPfCRuuOGGmD59+oA/Hyik6667Lq644oqMfcaMGRM//vGPY9q0aSWaVWFkOxCV7cbDgcp2fckYBovhHAcK7eGHH47TTjst4893MpmMiy++ON7+9reXcGYwcCMhFsgXQmbDOQ7IF0JuhnMceC25Qni9mpqaqKmpiUmTJsUWW2wRBxxwQERELF++PP77v/87rrvuulixYkWfH9/U1BQnnnhiXHfddbHDDjuUaNb5kScEyh0HhtKNF+X+WomZwHBW7hg7lNajQrPHB/Aq61H+7DMDFJ71KHfOOwAUj/Wof5y7AaBcyr12O89QPslyTwBGoiVLlsSll1660bZJkybFmWeeWeIZAaVUXV2dc9/jjjuuoGPvtttusdVWW/XZnk6n4y9/+UtBxwSyO//882Pu3Ll9tldUVMRnP/vZuP766/tMCPZl8803j6997Wtx9dVXx5gxY/rst2jRovjMZz5T9CcuQD5+/etfx8UXX5yxT319fVxzzTWx5ZZblmhWhVNfX5+xvaWlpajjNzc3Z2yvra0t6viQi+EeBwrpiSeeiE9+8pPR2tqasd95550XRx11VIlmBYUxEmKBfCFkNtzjgHwhZDfc48BryRVCbiZMmBAnnXRS/O53v4t3vvOdGfs2NTXFmWeeWfR8W3/JEwJ1dXUZ28WBV4mZAMVjPSoPe3wAr2c9yo99ZoDisB7lznkHgOKxHvWPczcAlIvzDCOXwl1QBueff36fge+cc86JhoaGEs8IKKWampqoqqrK2m/y5Mmx++67F3z8bDcv/POf/yz4mEDf7rjjjvjd736Xsc/FF18cJ510UiQSiX6Ps//++8cvfvGLGDVqVJ995syZE1dddVW/x4BC+u1vfxvnnXden0+hiOhNFlx99dVD9qmAo0ePztieLVkyUNmu39jYWNTxIZuREAcK5ZlnnomPfexjsW7duoz9Pv/5zxf88AsU20iJBfKF0LeREAfkCyGzkRAHXiFXCPkbO3ZsfOtb34rTTz89Y7+XXnopLrnkkhLNKj/yhEC2n7Nyx4FMNx6UmpgJUDzWo9KzxwfwZtaj/NhnBigO61HunHcAKB7rUf6cuwGgnJxnGLkU7oISu/322+N///d/N9p2wAEHxGGHHVbiGQHlkEti4q1vfWtRxt5pp50ytj/xxBNFGRd4s3Q6Hd/97ncz9jn55JOzbijlaosttojvfe97GZOLP/zhD2PFihUFGQ/6689//nN84QtfiJ6enj77VFVVxeWXXx677bZbCWdWWNmSHWvWrCnq+NkO/w7GjRRGjpESBwrhhRdeiBNOOCFWrVqVsd9pp50WJ554YolmBYUxUmKBfCH0baTEgQj5QujLSIoDcoUwMCeffHLWv3t//etfx9KlS0s0o9zJEwLZ4sDatWuLOn626w+mw5tiJkDxWI9Kyx4fwMZZj3JnnxmgeKxH+XHeAaA4rEf5ce4GgHJznmHkUrgLSmj16tXx1a9+daNtdXV1cd5555V4RkC5jB07NmufbAnk/tp+++0jmez7V4CFCxcWZVzgzf73f/83XnjhhT7bp06dGp/+9KcLOuY+++wThx56aJ/t7e3t8ctf/rKgY0I+7r777jjjjDOiq6urzz6VlZXx3e9+N/bdd98Szqzwxo0bl7F9+fLlRR1/2bJlGdtz+X0FimEkxYGBWrBgQXz0ox/N+vP8iU98Ik499dQSzQoKY6TEAvlC6NtIiQOvkC+ENxtpcUCuEAbujDPOiE033bTP9s7OzrjhhhtKN6EcyRMC2eJAtp/TgRpKcUDMBCge61Hp2OMD6Jv1KDf2mQGKy3qUH+cdAIrDepQf524AKDfnGUYuhbughC655JI+q+OeeuqpMX369BLPCCiXKVOmZO0zY8aMoozd0NCQ8ZerFStWRGdnZ1HGBl7v1ltvzdj+yU9+Mqqqqgo+7mc+85mM7TfffHPBx4Rc3H///XHaaadlXIdSqVRccsklceCBB5ZwZsUxbdq0jO3lTsb4+4RyGGlxYCCWLFkSxx9/fCxevDhjvw9/+MNx1llnlWhWUBgjKRbIF8LGjaQ48Ar5Qni9kRgH5Aph4KqqquKzn/1sxj5//OMfSzSb3MkTAlOnTs3YXuw4kO36gykOiJkAxWM9Kg17fACZWY9yY58ZoLisR/lx3gGgOKxH+XHuBoByc55h5Koo9wRgJJkzZ85G3z9jxow46KCDYsGCBQUZZ+3atRnbV61alXGs2traGD9+fEHmAmzcrFmzsvYZPXp00cYfNWpUnxu2PT090dLSEo2NjUUbH+j197//vc+2RCIRhxxySFHG3WKLLWKLLbaI5557bqPtixYtivnz58fMmTOLMj5szN/+9rf49Kc/He3t7X32SSaTcdFFF8Xhhx9ewpkVT0NDQ4wZMyZWr1690fZiP+Up298fxdokh76MxDjQXy+//HIcf/zxWX+OP/CBD8S5555bollBYYy0WCBfCG820uLAK+QL4VUjNQ7IFUJhHHDAAVFfXx/Nzc0bbX/hhRdi2bJlMXHixBLPrG/yhEC2n7NyxoFx48ZFXV1dUcfPh5gJUDzWo+KzxweQnfUoN/aZAYrLepQf5x0AisN6lB/nbgAoN+cZRi6Fu2AQWLBgQdF+6d+Yb37zm/HNb36zz/YDDzwwrrzyypLNB0aiXP7QHjVqVNHGz5Z0bmtrk5iGIps/f37GCsmzZ88u6oGFvffeu8+kYETEww8/LClIyTz66KNx0kknRWtra599EolEXHDBBfGud72rhDMrvhkzZvSZjFm2bFm0tLQUbUNj/vz5fbYlEglV1CmpkRwH8rVixYr46Ec/Gi+88ELGfsccc0x85StfKc2koEDEglfJFzJSjeQ4IF8IvUZqHJArhMKpqqqKfffdN/7whz/02edf//pXvOMd7yjhrLKTJ4SRLdvhyBdffLFoYzc1NcXKlSv7bB+MBzfFTIDisB4Vlz0+gNxYjwbGPjNAYViP8uO8A0BxWI9y59wNAIOF8wwjU7LcEwCAkWirrbbK2iedThdt/GJeG8jNkiVLMrZvvvnmRR1/iy22yNiebX5QKI899lh84hOfiJaWloz9zj333Hjf+95XolmVztZbb52xPVPyfiB6enpi3rx5fbbPmjUramtrizI2vNFIjwP5WLVqVXz0ox/NGhuOOOKI+PrXvx6JRKJEM4OBEwuAkR4H5AthZMcBuUIorGxPds90wLhc5AlhZKuvr894g8O8efOK9jv7888/n7F9m222Kcq4AyFmAhSH9ah47PEB5M56BMBgYD3Kj/MOAMVhPcqdczcADBbOM4xMCncBQBm85S1vydpn3bp1RRt/7dq1GdtramqKNjbQq6+qya8YO3ZsUcfPdv1Vq1YVdXyIiHjiiSfi4x//eNY17wtf+EJ86EMfKtGsSivb7wRPPPFEUcadN29exhuht91226KMC28kDuRuzZo18bGPfSyefvrpjP0OOuiguOSSSyKVSpVoZjBwYgEgDsgXwkiPA3KFUFgTJkzI2J7tZ64c5AmBTHGgubk5XnjhhaKMO2fOnIztgzEOiJkAxWM9Kjx7fAD5sx4BMBhYj3LnvANA8ViPcuPcDQCDhfMMI5PCXQBQBo2NjVmf9p0teTwQma6dSqWioaGhaGMDvZqbmzO2F/vncNSoURnbm5qaijo+PPXUU3HCCSfEmjVrMvY744wz4mMf+1iJZlV62ZIxjz32WFHGzXbdXDbRYaDEgdytW7cuTjzxxKwJ2v333z++853vREVFRYlmBgMnFgDiQC/5QkYycUCuEAqturo6Y3tXV1eJZpI7eUKgXHHgX//6V8b2wRgHxEyA4rEeFZY9PoD+sR4BMBhYj3LnvANA8ViPcuPcDQCDhfMMI5PCXQBQJrvvvnvG9vnz5xdl3KampoxVxCdOnOjJfVAC2W4cKubmVERkvREy2/xgIJ577rk44YQTsj7V4uSTT45Pf/rTpZlUmWy//fZRV1fXZ/sDDzxQlHHvv//+jO177LFHUcaFV4gDuWtubo5PfOITWTdA99lnn7j88sujqqqqRDODgRMLAHHg9eQLGYnEgV5yhVBYK1asyNieKR9XLvKEQLa/B8oRB+rr62P77bcvyrgDIWYCFI/1qHDs8QH0n/UIgMHAepQf5x0AisN6lBvnbgAYLJxnGJkU7gKAMtl3330zthez4nlPT0+f7dmedAEURrZq/atWrSrq+NmuX19fX9TxGbnmzZsXxx9/fNab5z7+8Y/H6aefXqJZlU9lZWXstttufbYvWLAg5s2bV9Axe3p64q9//Wuf7aNHjx50GykML+JA7lpbW+Okk06KRx99NGO/3XffPa688koH+hlSxAJAHHgz+UJGGnHgVXKFUFjLly/P2D5u3LgSzSR38oTAjjvumPF3gvvuuy/S6XRBx3z22Wdj8eLFfbbvvvvuUVFRUdAxC0HMBCge61Fh2OMDGBjrEQCDgfUoP847ABSH9Sg3zt0AMFg4zzAyDa7fjGCYu/XWW0syzmWXXRaXX355n+0XXXRRHHvssSWZC9C3ffbZJyorK6Ozs3Oj7f/4xz+KMm626+6www5FGRd4vWnTpmVsf/rpp4s6/pNPPpmxfcqUKUUdn5Fp/vz58dGPfjSWLVuWsd9HPvKR+NznPleiWZXf/vvvH3fffXef7bfffnuccsopBRvvwQcfzPh/sM8++3i6FEUjDuSuvb09PvWpT8Xf//73jP3e9ra3xVVXXRU1NTUlmhkMnFjwKvlCRipxYOPkCxlJxIHXkyuEwnrkkUcytm+yySYlmkl+5AlhZEulUrHPPvvEH/7wh422L126NB5++OHYddddCzbm7373u4ztb3/72ws2VqGJmQDFYT0aOHt8AANnPcrOPjNA8VmP8uO8A0BxWI9y49wNAIOJ8wwjT7LcEwCAkWr06NGx//7799n+8ssvxwMPPFDwcX/7299mbN9ll10KPibwZjNmzMj4hIHnnnsulixZUrTx77vvvoztm266adHGZmRatGhRHH/88Vm/rz/4wQ/GOeecU6JZDQ6HHXZYxuTHLbfckvFpUPn6zW9+k7H9qKOOKthY8FriQO46OjrilFNOyfr3wA477BDXXHONp/AwpIgFgDjQN/lCRgpx4M3kCqFwFixYEE899VSf7ZWVlbHVVluVcEa5kycEsv3c3XzzzQUbq7u7O+ON3hUVFXHYYYcVbLxCEzMBisd61H/2+AAKx3oEwGBgPcqd8w4AxWM9ys65GwAGE+cZRh6FuwCgjN797ndnbL/xxhsLOt5DDz0Uzz77bJ/tNTU1sffeexd0TGDjqqurY5tttsnYJ9tTCvrrkUceiYULF/bZnkgkYscddyzK2IxMS5cujeOPPz7j911ExLHHHhvnn39+aSY1iIwfPz722WefPttfeumluOuuuwoy1tKlS+P222/vs72xsXFQPgGFoU8cyF1XV1ecfvrpce+992bst91228W1114bDQ0NJZoZDJxYAIgD2ckXMtyJAxsnVwiF86tf/Spj+0477RQ1NTUlmk1+5AmBAw44IEaPHt1n+29/+9tYvnx5Qcb64x//mPF3gH333TfGjRtXkLGKQcwEKB7rUf/Y4wMoLOsRAIOB9Sg/zjsAFIf1KDvnbgAYTJxnGHkU7gKAMjrggANixowZfbb/6U9/irlz5xZkrHQ6HZdddlnGPgcddFDU1tYWZDwguz322CNj+49+9KNobm4u+Ljf/e53M7Zvt912MWrUqIKPy8i0YsWKOOGEE+Kll17K2O/oo4+Or33ta5FIJEo0s8HlQx/6UMb27373u9Hd3T3gcb73ve9FZ2dnn+3vf//7o6qqasDjwGuJA7nr7u6Os846K2sCduutt44f//jH0djYWKKZwcCJBYA4kBv5QoYzcSAzuUIYuOeffz5+8pOfZOxzyCGHlGg2/SNPCCNbVVVVvO997+uzvaOjI77//e8PeJzOzs743ve+l7HPf/zHfwx4nGITMwGKw3qUP3t8AIVnPQJgMLAe5cd5B4DisB7lxrkbAAYT5xlGFoW7oA9nn312bLPNNn2+nH322eWeIlBkpYgDFRUV8fGPf7zP9q6urjj77LMz/tKUq5///Ofx0EMPZeyT7RdBGImKGQsOP/zwjO0rV66Mb37zm/2+/sb813/9Vzz44IMZ+xx22GEFHZORa/Xq1XHCCSfEc889l7Hf4YcfHhdffHEkk4PzT9RS/E7w9re/Pbbeeus+25955pm49tprBzTG3/72t/jNb37TZ3tlZWV85CMfGdAY8EbiQO56enrii1/8Ytxxxx0Z+22xxRZx3XXXxdixYwc8JpSKWACIA7mTL2S4EgeykytkOEqn0yUba+3atfG5z30u4xpZXV0d73znO/s9hjwhUArHH398VFZW9tn+X//1X/HII48MaIxrrrkm5s2b12f71ltvPeAnroqZAEOb9Sh39vgAisd6BMBgYD3KnfMOAMVjPcrOuRsAcuU8A4U2OE88A8AI8p73vCc22WSTPtuffPLJOPfcc6Onp6ffY9x///3xrW99K2OfffbZJ3beeed+jwHkb8cdd4ztt98+Y58bb7wxfvKTnxRkvPvvvz/OP//8jH2qq6vj2GOPLch4jGxNTU1x4oknxlNPPZWx30EHHRTf+ta3IpVKlWhmg1MikYjTTjstY5/vfe97WZP6fVm6dGmcddZZGX+f+OAHPxiTJk3q1/VhY8SB/Jx//vlx6623Zuyz6aabxnXXXRfjx48v0axg4MQCQBzIn3whw404kBu5QoajD3zgA3HbbbcNaM3KxerVq+OjH/1ozJkzJ2O/f//3f49x48YVdS4DJU8ITJ48OT74wQ/22d7d3R1nnnlmLF26tF/Xv//+++OKK67I2Oczn/lMv65damImQPFYj3Jnjw+geKxHAAwG1qP8OO8AUBzWo+ycuwFgMHGeYWRRuAsAyqyqqirOO++8jH1uueWW+OxnPxvt7e15X//OO++MT37yk9Ha2tpnn4qKivj85z+f97WBgfv0pz+dtc/FF18cF154YXR0dPR7nOuvvz4+8YlPZH1Czfvf//6YMGFCv8eBiIiWlpb4xCc+kfVGuQMOOCC+853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      "text/plain": [
       "<Figure size 2400x535.887 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 559,
       "width": 2423
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "az.plot_rank_dist(idata_bikes, var_names=[\"α\"]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3133cd58",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3600x535.887 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 559,
       "width": 3623
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "az.plot_convergence_dist(idata_bikes, var_names=\"μ\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c00e08cf",
   "metadata": {},
   "source": [
    "In the BART literature, the diagnostics of the BART variables is sometimes considered less important than the diagnostics of the non-BART variables, the main argument is that the individual estimates of the latent variables are of no direct interest, and instead we should only care about how well we are estimating the whole function/regression.\n",
    "\n",
    "We instead consider checking the convergence of BART variables an important part of the Bayesian workflow. The main reason to use `az.plot_convergence_dist` is that usually the BART variable will be a large vector (we estimate a distribution per observation) and thus we will need to check many diagnostics. Additionally, the R-hat threshold of 1.01 is not a hard threshold, this value was chosen assuming one or a few R-hats are examined (and chains are long enough to accurately estimate their autocorrelation), and if we observed many R-hats a few of them are expected to be larger than the 1.01 threshold (or whatever threshold we pick) even if there is nothing wrong with our inference. So, how to read its output? We have three panels two for ESS (bulk and tail) and one for the R-hat. The continuous line is the empirical cumulative distribution for those values, for the ESS we want the entire curve above the dashed line, and for R-hat we want the curve to be entirely below the dashed line. In the previous figure, we can see that the ESS panels are ok but for the R-hat we have a few values above the threshold. Are our results useless? Most likely not. But to be sure we may want to take a few more draws.  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5daefd3e",
   "metadata": {},
   "source": [
    "### Partial dependence plots"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99fd44df",
   "metadata": {},
   "source": [
    "To help us interpret the results of our model we are going to use partial dependence plots. This is a type of plot that shows the marginal effect that one covariate has on the predicted variable. That is, what is the effect that a covariate $X_i$ has of $Y$ while we average over all the other covariates ($X_j, \\forall j \\not = i$). This type of plot is not exclusive to BART. But they are often used in the BART literature. PyMC-BART provides a utility function to make this plot from a BART random variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9bb3955d-98d6-40b0-ab1c-10082459f72a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x1000 with 4 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1023,
       "width": 1291
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pmb.plot_pdp(μ, X=X, Y=Y, grid=(2, 2), func=np.exp, var_discrete=[3]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a86b72b",
   "metadata": {},
   "source": [
    "From this plot, we can see the main effect of each covariate on the predicted value. This is very useful as we can recover complex relationships beyond monotonic increasing or decreasing effects. For example for the `hour` covariate we can see two peaks around 8 and 17 hs and a minimum at midnight.\n",
    "\n",
    "When interpreting partial dependence plots we should be careful about the assumptions in this plot. First, we assume that variables are independent. For example when computing the effect of `hour` we have to marginalize the effect of `temperature` and this means that to compute the partial dependence value at `hour=0` we are including all observed values of temperature, and this may include temperatures that are not observed at midnight, given that lower temperatures are more likely than higher ones. We are seeing only averages, so if for a covariate half the values are positively associated with the predicted variable and the other half negatively associated. The partial dependence plot will be flat as their contributions will cancel each other out. This is a problem that can be solved by using individual conditional expectation plots `pmb.plot_ice(...)`. Notice that all these assumptions are assumptions of the partial dependence plot, not of our model! In fact, BART can easily accommodate interactions of variables Although the prior in BART regularizes high-order interactions). For more on interpreting Machine Learning models, you could check the \"Interpretable Machine Learning\" book {cite:p}`molnar2019`.\n",
    "\n",
    "Finally, like with other regression methods, we should be careful that the effects we are seeing on individual variables are conditional on the inclusion of the other variables. So for example, while `humidity` seems to be mostly flat, meaning that this covariate has a small effect on the number of used bikes. This could be the case because `humidity` and `temperature` are correlated to some extent and once we include `temperature` in our model `humidity` does not provide too much extra information. Try for example fitting the model again but this time with `humidity` as the single covariate and then fitting the model again with `hour` as a single covariate. You should see that the result for this single-variate model will be very similar to the previous figure for the `hour` covariate, but less similar for the `humidity` covariate."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54e31c66",
   "metadata": {},
   "source": [
    "### Variable importance\n",
    "\n",
    "As we saw in the previous section a partial dependence plot can visualize give us an idea of how much each covariable contributes to the predicted outcome. Moreover, PyMC-BART provides a novel method to assess the importance of each variable in the model. You can see an example in the following figure. \n",
    "\n",
    "On the x-axis we have the number of covariables and on the y-axis R² (the the square of the Pearson correlation coefficient) between the predictions made for the full model (all variables included) and the restricted models, those with only a subset of the variables. \n",
    "\n",
    "In this example, the most important variable is `hour`, then `temperature`, `humidity`, and finally `workingday`.  Notice that the first value of R², is the value of a model that only includes the variable `hour`, the second R² is for a model with two variables, `hour` and  `temperature`, and so on. Besides this ranking, we can see that even a model with a single component, `hour`, is very close to the full model. Even more, the model with two components `hour`, and `temperature` is on average indistinguishable from the full model. The error bars represent the 94 \\% HDI from the posterior predictive distribution. This means that we should expect a model with only `hour` and `temperature` to have a similar predictice performance than a model with the four variables, `hour`,  `temperature`, `humidity`, and `workingday`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2bb3d9f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/osvaldo/anaconda3/envs/arviz_1/lib/python3.14/site-packages/pytensor/link/numba/dispatch/basic.py:215: UserWarning: Numba will use object mode to run BART_rv{\"(m,n),(m),(),(),() -> (m)\"}'s perform method. Set `pytensor.config.compiler_verbose = True` to see more details.\n",
      "  warnings.warn(\n"
     ]
    },
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      "text/plain": [
       "<Figure size 1600x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 623,
       "width": 1623
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "vi_results = pmb.compute_variable_importance(idata_bikes, μ, X)\n",
    "pmb.plot_variable_importance(vi_results);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81d553f3-3f9e-4ae8-95f9-84d2d9a9556c",
   "metadata": {},
   "source": [
    "`plot_variable_importance` is fast because it makes two assumptions:\n",
    "\n",
    "* The ranking of the variables is computed with a simple heuristic. We just count how many times a variable is included in all the regression trees. The intuition is that if a variable is important it should appear more often in the fitted trees than less important variables.\n",
    "\n",
    "* The predictions used for the computation of R² come from the already fitted trees. For instance to estimate the effect of a BART model with the variable `hour` we *prune* the branch that does not include this variable. This makes computations much faster, as we do not need to find a new set of trees.\n",
    "\n",
    "Instead of using the \"counting heuristic\". It can also perform a backward search, `pmb.plot_variable_importance(..., method=\"backward\")`. Internally this will compute the R² for the full model, then for all models with one variable less than the full model, and then for all models with less than two, and so on. At each stage, we discard the variable that gives the lowest R². The backward method will be slower, as we need to compute predictions for more models."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8a84cca",
   "metadata": {},
   "source": [
    "### Out-of-Sample Predictions\n",
    "\n",
    "In this section we want to show how to do out-of-sample predictions with BART. We are going to use the same dataset as before, but this time we are going to split the data into a training and a test set. We are going to use the training set to fit the model and the test set to evaluate the model."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7eec697",
   "metadata": {},
   "source": [
    "#### Regression\n",
    "\n",
    "Let's start by modelling this data as a regression problem. In this context we randomly split the data into a training and a test set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "24895456",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2, random_state=RANDOM_SEED)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3344f483",
   "metadata": {},
   "source": [
    "Now, we fit the same model as above but this time using a *shared variable* for the covariatates so that we can then replace them to generate the out of sample predictions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "92d41028",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "CompoundStep\n",
      ">NUTS: [α]\n",
      ">PGBART: [μ]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2ec9029c7a1b445ba5bb3aa290bc1337",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 60 seconds.\n",
      "The rhat statistic is larger than 1.01 for some parameters. This indicates problems during sampling. See https://arxiv.org/abs/1903.08008 for details\n",
      "Sampling: [y]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4e167ba3642a41b3a1e766a65f72b0cf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with pm.Model() as model_oos_regression:\n",
    "    X = pm.Data(\"X\", X_train)\n",
    "    Y = Y_train\n",
    "    α = pm.Exponential(\"α\", 1)\n",
    "    μ = pmb.BART(\"μ\", X, np.log(Y))\n",
    "    y = pm.NegativeBinomial(\"y\", mu=pm.math.exp(μ), alpha=α, observed=Y, shape=μ.shape)\n",
    "    idata_oos_regression = pm.sample(random_seed=RANDOM_SEED)\n",
    "    posterior_predictive_oos_regression_train = pm.sample_posterior_predictive(\n",
    "        trace=idata_oos_regression, random_seed=RANDOM_SEED\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b342609",
   "metadata": {},
   "source": [
    "Next, we replace the data in the model and sample from the posterior predictive distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "911effb6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/osvaldo/anaconda3/envs/arviz_1/lib/python3.14/site-packages/pytensor/link/numba/dispatch/basic.py:215: UserWarning: Numba will use object mode to run BART_rv{\"(m,n),(m),(),(),() -> (m)\"}'s perform method. Set `pytensor.config.compiler_verbose = True` to see more details.\n",
      "  warnings.warn(\n",
      "Sampling: [y, μ]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1afcc0311e0d445b90d8b94fd4f3d428",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with model_oos_regression:\n",
    "    X.set_value(X_test)\n",
    "    posterior_predictive_oos_regression_test = pm.sample_posterior_predictive(\n",
    "        trace=idata_oos_regression, random_seed=RANDOM_SEED\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b73f104",
   "metadata": {},
   "source": [
    "Finally, we can compare the posterior predictive distribution with the observed data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1e569120",
   "metadata": {},
   "outputs": [
    {
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lW5N18op9dhj2XTyu/cpWkxqkPWY6DDRo2CwvsJa8x4wk277Pyty2g8zBmPbr1h7YN6vHGlpBiS9PpqtCY9Zh4kWhWz3/UFIzY/5hYo846BjXvtlowSkqjW0cmdUbB7zoXQHRkvvmVhpLPwhKTMgZk9n9x6j752EeI6nq5f+slaLnQ833+v4e58mo7kdjjfP3tZZ1Q1V0TZsvqIi1OGB78EFUPaO9U1XNVIkEDIo2j2uj7ns6faau2SqfxQPrybhx9vPDlnL06FHdeOON+ta3vqXvf//7euCBB3TixAktLy+rVqtpdnZWp512ms477zxdeOGFuuyyy3T22Wev97QzHT58WF/84hf17W9/WwcPHtRDDz2kEydOaGVlRVNTU9qxY4ee+MQn6txzz9XFF1+syy67TKeddtp6T3tivve97+ld73pX17L3v//9espTnrJOMwIAAAAAYGtrWauvPTy/3tMYSr82kLFGGOpoI1BrwH+IWFbLWp1ohQOH0kLntBzYkUJjUauirfeB26nTNT0h0XpnJbSab7Q61/jem7+uf/jQ+3TknvVtLzkuO88+oJ/86Gdz11vr1Bzw/nXOqRE6Rf/XXiYpPUwyBDTKx49O3WPltRZLHzNrnH6KKlFlzalom6zti85h0HfroK33xmmQ48YV25Lnn3Ud+l3Pftev6NjpZWVeu7jIT5lqNda50i0rK1Hxsk7Qclwt+6zNfl3ikFrgeu/D5P6j2OhNwfIq02Ut3+4fHg7zWva7ZvFvEsmxhyg2OXKVx7z2kWWmElfzikNfmeOM6Y1QpsJYPBdjjGr+8K35ZjJCKxVjtKvWv3X3JMVtwYdR8zxV1jn0tH9uc7YeLFMFbxAX750b21hbSc0z636PblUE8TCorfe3HRibPXv26Gd/9mf1sz/7s+s9lZGddtppetWrXqVXvepV6z0VAAAAAACwDTXLfoq+wfRrAxlrhKEOL6frsIxPy1rNNwavrBU6p8XW6FUcprZgNfrd9apOma51PvRthKEeb1fD8D2je2/+mj7z9tev4wzH71lv+Q3Vcj6css5pRW7gD69aYRgFXkz0UbWLW/glh0mEYsq0/sqVGKdohE4YaITHTt74JrUyq3JZVsuz1R2GCz0NqlTLyjEoG+CIpxJX+EtW+Em24rSp7aXU9XQaukVkJdEHz3NOxpiBWkFOVTxV+mwft30t29Wt0g5xjesj4zi0lvfINnJqueh1cOmqgIlrm67eNsqttNGCZJ37yfW2K0wqCjKut7W4pnnPkDiglKlP296KGT2I4pxTaNqtKYc0ShvYZOvJcQdrxsHXYM+1WF57y931qqpjbHs5qHRb8M3mnJ3ThFckPf3kndpVX98AIgD0Q3AMAAAAAAAAGFJgrRolQmErYfnwUtmWkGuhTGhMko4WhLrSbQ+HEYfGBh1n1NCYZ6LQWNaHiZM26jVLc4pawflG2lWrak+9Kuukx44c0cJjj+hIKvj3Z297/ViPv552nnVAF/7Sr2vnBZdoOacdVLL1ZPkmHU4rNkpCxSGUrMdBMiTlBhq/WzqQkNtuLGNd0X5lt8nqXGYz1odlDzLAsYfaxw0/XtljpauG5em0f8zZsKi6ky1zgBLHd9HN1xVEsyUq7BlJtUrUSzIomIhzg1fsy/vJUfa6pmV0nZUUBYA8IzUT6/MqjW2Mn76rxj2f+H4a9jmw3tbip3EnmOkylhe8kQcNjQ3zs2CU32ri8PIwwSpjon29duC0YspXA1srxgx+bnm/51U8ox3VyrqFxjZ7i0RaD0Zmqr7Om5shNAZgUyA4BgAAAAAAAAxovtHSwYUlLY2hmlWsbEvI2Okz9cy2OuN07q7+7WVC6zLbU0YVrAIFIwagWtbJSEONM8oHVsN+uBrbUfVzWzjlaYVWi0E48LnuqPR+uLmrXlHd99QIrY41QwXWykt82PvPX/mnTdOGcv8br9GuCy4ZeD8jqXbSXlV3Ru2B4opqaZ6JqpQ4RdVi+l39dJWtuLpX0X5xaKzfuzsOLGRVAkq2oFTG+qxt05LVkzpVsBLr+53/OMM1ZSodDTOWSVTjSV9HYxKvxRC93rLOu0wL0qy2dPE8zBjazvWrQBZVBoqeafH9ZV32PtE9kLihjdFyGK/J0KfKUve2xeda1L5zJC4/tFdy96Gkq5eNa9xRTPKYWa9X1nPGSy8okHyfepJ8r/i+8I2Rpyh8HQxxsvGP0ornpd63vUet+v2bInqeZBJbWecSQeXivauep3Hlhkzi/w+q67Vbo7DYVMXPbaeZZ65aGej3Li8n/BaF46Kv99SrqvtrG97yveHbbQ5j3P89UTVG/jpWaZuUc3fNDNS2tO7TghHA5kJwDAAAAAAAABjAfKOl244cH+uYZVtCShvvX/GvyPZ8UNcIw04VslGqdbWs04lWNI6/wSpb5Kl4RjsqvqoDftDYCq1OtKthlT3XrIoYySoVDWt1rBmo7hvVE73bNksbypkz90ehsQufOfC+ZVpCxtVX4ns0dKZvliFuE7baarDd7s4UfySf1dIxe87tr/P64xWME+/vKRXOcb0tEJPbyhip3eIvuU2ejdS6L90WMz4f45ysWY1rJCvtOOcUSoMFMuIWpInDudT1KvOo67ovE/eON0J4LG6plxVsMYpCY8lninVOLg6NZVRAcvGeZV6ozRAa0/oEtMq8j7aKvMBY+jkzaMUr56I+psn9KgX3eqXdOjFumVob5lwGqKY1Uxns9zDroiqV/cIkxhjVN2AbyLXgGaPpijfQ73zD/t5VZLNX/Cpjo/33xEZF1TAA2wXBMQAAAAAAAEDl204OGhor03rynoVlnbljSrU+H3qN+1/xh9apNUQZFpvYrxlatayVbY8nSYeXGmOZ33xOhahBnNTng54nzBR/tGydU1jyGvkZraisU6n9H1lqaq5a0fLCvBaPPJq5jXNRK0TrnDxjdFLd12JiffzB+tH294+vBDppym+3qVydw0ZrQ/nsD3+ypzJMbfde+e1KYXFYKu+jTV/qSi4kQ11FTLvvmHVOoXW5QY5k+NGqu/pKqOzQRPJDb98Yha53/Kw2ZUar7S6jUFv3+sC2Q2VZO6b6HcbTTs85mpM6gQ6jKDSWDEUVPWayHmdFT6VKV9megg3z5LScNJI8b7WOTickZqTkGUcvs+mEogJJlYJ7w8sICoS2+/4zkppyXadTdM2yqv2EqQ1MYkomUaoqDgJmVd+JAzSVvJBFe3HyGRRa1/k5UktNumlz3mc51ytUdtgyK/QROte+v1fH6oTF2l9kVdob1aBBx0F/IqbHTj+P0uLXM75u6Z8ZRt33RvLZnXWt88JFtivZONhVTd/rafGM/FQ1rXj7ZJDRZN79q2oFZaWcpGYQdsbyjMn8PSl+j8dmK57sENE807d236q47fMgjjVbfUM64w6LnTTgHCXp1D6/F01KVGlrwH0yfu8azzzWPrRXVOX34r1zYz1WzaMaVhlUDQOwnRAcAwAAAAAAwLY2ibaT0uCtJ2u+p6k1aoez2Ap0aKmpRjhYjZu4kliyNWVcFSzoE45bD7trlcKKZ6dN13NbEK0EoR5vBpltOMtoWasTrbD0dXnolm/oK3/wHzV/78ZvHTlOT732D+XvO5AZVomvfBz8CHLGGLrNX5SoK9zf02ogsqyeil/WyiY+2Ha2f0vM+K4MXCqIqER/wUQFp3Suxyg74LU6iXi8KHBhTVYarPe941LXq18ox5PUFf8c5FK67nugZ3rSasoutdwkzieztWgOI5XuYZmskJUM/PXfo8TYGZtmtt1zcX2w3jBWnugcoxDXUr95DLHelNhz4/20GF7yXDqhr5wTNFoNjdms6oAFsqoo+sqv3jVsmMbPqbZl29XlXOIRZAqOE9/D+ZHcqBpev8dr1fc7bSc9qeBnarR8V61S6h8B5I9Rbt/Zqq+lYLDfGwdtXz2q3fVqTxvrfk6bqW/pKlsb1Tlz07n/DfD0k3dS7QoAMHEExwAAAAAAALDllK0edqzZ0sFj/T4671amgthSEOrQ4mBVt6pjrJhQVElssRXo4aVmz3Irp1aYX11rJbQ6lqoA1rJOx1t5cZ71069tUdVrtyAqCI09stJ9jZyTAue6qr/kaVmnxYLr4hTdR/FQD3/7Jv3vX3tT33G3kukz9+ucK6/R3IXPLPyYPg7l9M1AZWxQJvTSL0Rk2xuWGSuuVRPNpzvIE1cXc+ofFOlqhZgeJ+fr9P795huHW0z7QOntrSSTutfzjpdn9VqU3CHnOEUF1nLHSKzsqfSWs0+Z65Y3znoHocZ9/GECY2X33ar6/QTvVPNrf1OmnW58I6e3HbTlYxlRCCw/NJYV2HLtio0DH8tElaLin4VFokqbrlPFLu94vjGaq1ZU8Ty17Hj/IUDSMK0U11pWG+t+tkNrxo2oXmm3i8xoe0qLRADAWiI4BgAAAAAAgC1jUtXDpMEriA2i7ntjaUE5TCWxhrV6eKmh+UZr4Kphe+pV7SnxgdbJU9XCyl+jOnvnanufimcKP9CtGtNpb5fX+ufWI8e13K4kstQKdd+JZT263Cz9AXnVM9qdcV1a1mqhGWixFXaFh772kf9YatyN5MLf++TQ+9Z271Wl3YayKMST/LNIVjAoXQUoT7/x49epaLusMFcsWVEoGS7r2iarzWaG1Rac3YG6fp0g84JTRfslv88KpvUTX4tBWwQmiqllHjtvTmXX9Tv+djLK+aZf10Ff62GPk2WQ8+g3XjK6kY7P1NoLkj+rjYxmal5Pu8akOOAVtW/sbatYxDlpKfU7R/lmiuVlzWmmWpF1Vo3AarEVymVUJax5UevImXRP3QGPJUlzlezfJUxOmC120lRFU763Ju3khmmlmJT8XWVSLtm7U/6A14K2heuj6LrTIhEAsNYIjgEAAAAAAGBLmG+0dNuR4xMZezEIdc/C8kTGlqTTZ+ojj7HYCnTP8ZWB9mlYqweOL2u+OXjVsN31aumw23TFn1iLpnN2Tmu2mtXosFhe65+WtdGH4bVKOyy4oqONlnzPyB/h4/qWdTreDLUcWHlm9cPn5WOP6/h9Pxh63PVw/rV/qJkzD6z3NCRlB1jKhsb6yQpY5W2TxdNqdaFOdS/TPV6pqkOdg7Urg2WUxip7nslzytunM+f2DsMGjAa99v3Cgulw0iCVz/JMOiw2SPAp614uGmuYQF8Zg4b9yu4z6Py67sOMA5cJdZYeT1LFSJ6Jnszpdo1Vz8gzRlO+17V8tupPtPKUdU7WTa56Vp74Z+piK6oqFko9YaSqZzRd8bWzWtwSuozd9crQvyOcOl1f8xaQwxj2d5VB0NIQAAAMi+AYAAAAAAAAtoSDC4O1nJTKtZ2UNLHQWN33dOpUTb5ntDJAlbAsRaEx66LWlWHqXA8vNQYOjWW1QHKSbMF1tM6pZcdbqa1ijE6erilwTscGOIfpiqd9s1N6bKWlQ0sNhdaq2Z57aK2Ot0J9v92+9MHFhh5b6W3rmSV0rusaOHW3/1tohlqYP6rlI4917ff4vQdLz329TZ+5X2e320tOWtlAz6SCP+MIjWXum9ipkzfJaBWZNbZLhLiyqpsN22YxzSY2GKbi1zDzkcpVGxvm9V6vSmLjDI3l7TfIscoYJjQ27nG7ts85yKA/TQrHM1FQzMjIOSe/nfC0zskzRpV2aKzmd7dKnKr4si6/deI4WE12/DTfGE1Vooj0iXbl1mbqdxNjjGqe0bTva7bqjxQai36fGC1YPo5qrZNU99utCCcYGqOlIQAAGBXBMQAAAAAAAGx6LWsHak85ybaT5+4q14qoGYR6ZKWl+xf7VwkrM2bWNkutUPeeWNYjS43cgFyZVpMxr91uK9ayTidaQWGLy4pn5C93f7A7SoW1lSDUQitU6JyCAT9Qb4VOj640Nd9sqRFaLQe2XdHFqWGdXPvrMmHCWBw+7OzhXE+o4dhtN+sH131Iyw/cPdB810tWG8pke8lYOugzTv3aL0rdLR473OChkn7Hzz1Whjh0Em9e8YycpLB9j6RDIFZRICx5LYvCWqMEucrus15Bq63SKnKQGEvetlnLs94T6e1Gvfedels05s0huU+/lrNJeXOMj5sVr4k7IQ4aMOr7WpioIma8bVcLxXaYLD5iKGkltJryoyUrweQqgc1Wo4/uvMTXSbsSy/ZMVYYKT+2bne76vuqZnhaS1jp9f2FRjy23ovmYKFwWh+lGkf59YhhV35M3RGxy344p1f3JVymrGjPQa/PMU3YNfAxaGgIAgHEgOAYAAAAAAIBNrxmWjxxMsu3kOTunOx8qF86hFej+xUa5MefKjdlzjCDUPSeWdXgpOs64q3K0rNN8o9V3ux2V7hjAqdO1oauLrAShHm9XFzttwPZUjTDUQ0srOtYMFDqnxXbQ0Do3dLW30LlOtTJJuaGx71x79VDjr4eybSjTIZZRKiCl902+qp2WiiZjm3TqwDlZUxx8GUbZdpK+uoMncbs7274vbGp9XGnMGMk4yZmCFpLtQFzWtd4qgavNKu/O8DV8kCv9OvdrsyhptR3qCIqOk/uey9mlJ4jV3jYrGBaPnX4PSavvo+oYwkpp6daTeaxzaoVW9ZLbj6Jf+8vdtYqqid8J9kwN/jO1bNvEldDq8War++fcBjJI8D1pR8XfcJXKnn7yzom3sgQAAMhDcAwAAAAAAGALCqxVY4Aw1Wa3FISlwz+TCI0N2oro0FL/9of1SnvMdvAqq61m6Fxmta/QOR08tqiHSxxnWMcaLYUFFb8qxmi24ssYo8A6VT2j3fWKfGMy21bG7Sxb1uaO++hSoIpntKvuayUMtNIu+GKlnjacS8fmtfDoI7Lt+MXjy6FOhFHoLFkpZiW0PcGblrVSiQ/KW6lNsu7AzRIaG7QN5aCt9AaRbN/XqWaUGNCTZI2iUl0Jk8g2GEWVhtLH6tnOxPN0iTlGZ+DklH48pas0pc8xax7jr4+Icch62Tz1vl5lb8/ccGCfAcZ2+2cM1AlvJt4HUQW97CHi7V1y+5w2kfG2Xme7aEPjRUGyuF2klN+2cZi2qDXPK90KshnaqCJXavvenx7D82VU9/PbX/pGmm23x0xWS10KQlW9ck+Hmufp1Ol66RbPzdAOXNlzLVR9T3vqVdWHCKHXfW9DhcZoMwkAADYCgmMAAAAAAABbyHyjpYMLSwO1bdwKVkKrg8eWxjrm6TN1zZQIgg3aiuisnVN9Q25Vz3QqjmS11WyEoY42gp4AVjO0WgzCwtaRRXZUK6qVOBer7jaRO6p+V8UTz0h76rVOKyjfmNxWfyuh1SPLDR1ZbmkxCAs/xI8rvTyw2J5HosVk7LFbv6nbP/r/6sT9m6MtZBnn/ur7NH3m/lLb5r16RXdEVhvKovHTwa4yij7eL9sy0SkZ5Cp54AGPOdYBxxi42HjRDRS1k0xX7rIlq4Glt0l+77VDVn77Z84gkRnf663kJUUhLWuL76/0flEozuXuU/U8+ab87Ez7vOreajWv+Fx7qpYlhM5pxYaZ4bW6b3KrdhWNmTTr+6p4XjSXxPaBtVoKQgVjfFMm75esK+tJcjI6EYRqPwFXmSio3fcY7daQDy2Vq3Y6iFOma6XmMA7RvR8d6/TZumYqg1XpumDPDu2qbYyQFm0mAQDARkFwDAAAAAAAYIuYb7R025Hj6z2NQqF1ak2gekVzyFaDWYqqh2XNv+WcWiWqu81UPB2Ym1HF8zJbT8YVxULn1GhF57MUhJ1Wk7GV0OrxjBaRzdCWqiAi9VYz8Y3RjmpF1ZIBOOuifSqe6QmNVb12JZD2OVrnciuINUKrhxYbmm+0tJQKjTmX/vjcKXBS8/gxrRx9TNappwLb0Vtv1h3/3wdLncNmsuuiZ+cGu/LCKz3VrMag37j97p54/3i7ZAAta7ys/YuOVeY8CWAhVhTSGoWXrJ6lKD84UjTERB/keJ4n32iglo2eMar5XubxQzk1AiuvZO7GM1EYK+95boxRfYh2kp4xmh6wClRgo7lXjNdV9cszRlO+16lQNoyin4ct67RknSqet2E+XKt5XplOuhNVMWboFtTDSFdkLYPKXgAAAPk2yu+2AAAAAAAAGNHBhfFW3BqnxVagQ0tNNcYY8BrUmTumVMsIbCXlVQ/rN/9zd80Uj+sZWSd9P6MqWlxRbKHRyqwiVtZiUFxlbmetohOtoKcamddusXe81Rs621Ov6rSZeuZ4Z+3orSIWVRaLFuZVRUt6vNFSox2Ei8MItt1+M56ldU7WSUdvu1l3ffyDWtpClcTKmD5zf2E1sGT4Ki9EFi+3Bcu81PdKLU+OlzVOP566Q2NSfoBsEOmWj9j4hs24ZAUVTeLrpKInfU/IJmdClQEnGs0nOnK1vW/T2pESaVXPk9d+0CYrZU1VfE37Xm7lrN21ioxMZqAosFFlytBJsyU/IfKUcd2S6zNW7i5R1ckz2fv289hK1IY5GTaOR1kJrWbLpuEy5pP383AjqnjZr/FaOL39u8EZs1N61qm7Bq78NayaN3iVLip7AQAAFCM4BgAAAAAAsAW0rN2w7SkXW4HuOb6y3tNQzc+u9NVPv/mfMzc91LhSFPa6Z2FZjTDU4eXmUGNIq2GrPLPVio63q5Hlte9K212v6omzU53KYYMocz7WRRXHjjeDrtBYsopYVK1Mevy2m/XP73nrwPPYCs6+8pq+28SvULqNZBQ0iRbaxHZeeuPEt8lXO91uL3ecEkw6NZYYc9TgV2qKhduVrW5W9njxWITXyhk245IVOIzvv+jP1S18lWtFWMQfMtAkrVYEc87JjjCPvMpiU77XqSSW9TzfXa/kVn9qWaulwKnqeZpk3aXdtYqqQ/5c7KcRWi22f9/Juj6zFb/0z7nNbkeJdtqTcNp0vXOP7axVtHeqllmlFQAAAJsDwTEAAAAAAIANLrBWjT6tEJf6VJuahLJtJzdCaKyfonPJm3+6VVLonFZCmxvgCjPCXfceX5aknnaUVquVVOKKW4XzTwWuYhVPmqlUdLzZ29oyjydpZ62q3bWKVsJQS0GgEp04uzy20lTYZ9KBdVpotNRyTkG7klsz1Z4ybFceu+vjW6/9ZD/TZ+7X2Vdeo7kLn1m4XbL9o81Y7tzq+q7tUi9PVjWneP9YZu24kveGJ/W9jwc1TG0+l/pzUJNqA7odjBIaS1elywqNGcWVsYYPDRmVq4LV20o3mkalvZ91TiV+PGbPwRhVMuaQbgXZqRLYnotnoud9aKWWzf6dYL4x2UpavomCW9ZJjWAyFUaPNLJDycO0vNysstpEr4V0K2opqtRa97f+NQcAANjKCI4BAAAAAABsUPONlg4uLG24SmIboe3kuGSdS7rtZFYbyqpnOhVNFoNQdy8s6eHlploZ16QVWp0IwsKKYLHQOS0HVnXfdCpy2SHTB3Fbs+PN7PtnturrpPpqzZmWtVoOQrWsdGipoftOLKtpndyAx3dyaoYuaqHVZ9tGaGUVXaN0mCmu4tQ6fmxLt6d8+u99svN1/FF8ZfdeeQXtKZPyglB53+e9munXqsy7e5AnwCB3UXLbnCJlQxlHyGurBMUqWv1wIJ2R8greu50qdllj5gR2nHXyPE/pqNWUn1+hKNmWUVoNiMXBsPQ80tsPxUj9nlrWWa0EtufeH+b4WRWavJzjeyajHacxalinlSCMqptJemS5mRtYG7YyZlnxNTiR+J1lkIpYu+vlaqCdPFXrWeaZ/Gu3FvJaOk9C1BJ6zQ6XOm73geu+p531Cm0gAQAANjmCYwAAAAAAABvQfKOl244cX+9p9NgobSeHUU194Jl1LoO2nVwMQn1vfrGnYlisFVrNN8tVeAmd67TfkjOdMNuw7dKKzFZ8nTxV7VQraYZWy4FVaKXlIFTo3NDBwDi00K9VWKeimnWrIYxkEKRdKas1f2SoeWwGF7z3D7XjrAOSktWDokBWuqpV1tXMapmYJV2tKUty3SiR0KLAURnJcy3aJ+uctkqoaxj9rlmyrainKPCR92wZpj1tPadtYlwNK71utrr52gkG1mkp1FhCMqOcf9iuZuYUhcak6D1b9Mwuer0nZbbqlz5mUXvNje606fpQ75mt4PSZus6b6w3XAwAAYHMhOAYAAAAAALDGyrSeHCU0VraF5DA2QmjMOqdwwPOr+Z5azqmVuO7xuVjn5HtGT5ipyzdGKxkfvtucVpD3LCzpgeMrPVXBrKL2kseaLTmttujLam8WW2pFATPPGB23k6nm5hmjmYqvHdWKrJUa7ePMN1uyTlpoBXI2ark5TIUoJyc5p9Cpc73ida3jx7Ry9LHODtZZNduhsaxjxctWDj0w2EluAtNn7tc5V16jnRc8U9a12zia6D7JqhQ2SGis6HUr85pOMnzVb+xh5redw2JppUJjxsgvaMVYVDUrq/qhZ4yq7Qpl6fWeMV2hMScnY4ymfT9z+41uKQj7zrnfk9s3UYjLukR4doC72DdGrXZFxxOJUHJeaMwo+vm3liE9zxhNV8odc71aLo5DVtvG7aLuezqwa1oXnzynXSUrxQEAAGDjIjgGAAAAAACwRibderJfC8l9O6ZG/oAzq23jWllqhTq83MgMcPXzhOneNlJPmKnr8HJUKcw56dBib9WwhrU62mhltqBsBFYPLTW6ggTWOTXa7R2tcwqcOl9nhYKyFIU6urbzjNKvZs3z5OX0sJr2PVU9T8ZIJ4LVwEEzsDoeBArsapWxMm01ndqhL7vaVjJmJK204xDHbr9Zd1/3IS0/sL7tJs++8hrtvPCSdZ2DJNV271Wl3YYyvqvSbTrLMKmv49dgmEBZetth5VW9St8fefo9ndYjZpQ1p+TToGzVtzKxHa+9Xfxnv31Me6N02Cv5XfyeTy5LVweb8lefG/tmpjRbWz3rZui00MhutWsKnlVeYl3LOi0GQU8VvVHtqPg91b921/2JBHlC53R4qZW5LrBWi0GoPnnwdpvN9j7OqhFY1XxTusWlp+je873o+TuTaAM5k9n2cvj2ncOEuXbXKpqulK8yNsmWi0+cHf33nSJVY3p+1h6Ym9ZcbeuHqGqe0Wy1970HAACAzYvgGAAAAAAAQEKZamDDONZs6eCxpbGPGyvTQnLHBmoN1rRWJ1pRGCEKWBVf8+VWqIdy2kHGnHM91V6qntHJ9armmy3NN6MP/UPrtBiEOtpYDQGEzsmmghENa7XQyG4z2Wq3lWwkKoM569S0qxVkgkTFrfTYWUziQ/R+VW2qntcJC0ntqjIFoTEp+pDeabWVpHNRZbGFdtWaONzjCgJunRBSIgiXDowltzt2+8367rVXF57LpE2fuV9nX3mN5i585rrOYxTp18MoCpCUCRdl7R+PkfX1KLLGicNs43iqxudbFJAbZezkOEa91ze+373kNokdrfKvZbLqV976imfaYZrRXxFjjCqJ8JZ1rlMdLP454BmjKd9TxTOq+57OmJ3SXG31I4NGaLUUtDRTWw0lOdf/+RRXXJSkVjtUJY3vPvNNb5Uqz0hztcpQYSHr1LeKpXPR65PWaldo9NuV3MoIXNTG2Iurr22Qn8tSXAGsouoAia6NWHnr5HpV/qRSaSkzVV/nzc1QeQsAAACbFsExAAAAAAAATb4a2KQdWmoWrq+XbBs1aY8sN/TPR47r0eWmGoHVcmg1Xen/YfNiK79FWOiiwJZLrY9CHavnHAfUkptlVQKLA2hlgyi9dV6Gl2xpabUaUEkHFlqJwFp8ni2bf+8aSc12NbH4OoTtoJvT6jmE7euTPPdkGK9foCzt7us+lDuncXrSr/+O6qfv61merO41qEHfLWtRDSsvmFW2olde0CxeFlc06tq+vTIOxSRbryoVHkyHGZPzG5fkOWSFFtPL0/uWGV/Kfl93he1Sg+WFxuIqU7VUdZ74sZd8Tk35XifolVVBKs+5c9Pdx2xXI0xWC0tXB0tWBKt4Rvt2TPWMW/c9nT4TVWtcCULNN4PMkO8TZmqSoqDZfCNQstNu1XjaXRtfoMhLnUfTWi0HVrtqFc3nBH3zNK3TYisYuPXxqCpmNch90gYKG3nG6ImzvdU5i4wr6DhOF528UxfvHe65P6i6b6i8BQAAgE2P4BgAAAAAANj25hst3Xbk+HpPY2jJFoN54g//19Mjyw197eF5zTeDTtWvmUr/KmiuHQPJ+nA6dE4t63pCYmm2vV16Wbq4nHNOg0QH/T7HHUY8h3jssq0ri8TBs/g6WBdVRItDY8aYKHhnjEzniqsrgTNoaKx1/Niataesn75PM2ceKL39uGMO6QBT1jXxMrZNV84aZF6dUFefSlfxMfpVwsqKPkTrTNc9EioK78g52XYLRJNIi3UFuAbI4+SFropOrGj49G5d1cH6iM97MK7nmPE4tUSVLymqhJj1nq54UXBsdoDqkE/aPau5au9f8zes1eGlRle1sDynTtcK2xKuBKEeb1cmTIdYT5uuq+57alir4yst+Z5Zs0pPzTCqXLl7iOpSLWt1ohWd03oFn3bVKmt2rco4bbo+cHvKjeacuWlduGeHZgcIXgIAAADbHcExAAAAAACwpaRbTQbWdtoH5vn2YwuTntZEFYXG6pWoYsxsJftD1DAjUFVW6FbbMZbZ5huHj+lYM5B1TithqLrvyZjVFmFZLRJtuzJWXivLlaBczCt9ji5uj5kaNownUsC1kzie4taO5a5f2atso/yWrCTfOIXO5FfEcashr7x2hL6RrI3aVLba743kVYsbaiYrQ8V/No8vqDn/WMmZd1u+f21CY1JUWayssjGNYWsQFQXsstYNcpyelpUlgn3SamvLrOWhJM+t3hPxdl5nnVPczDQ5RuZTZ8yFm1zBmEXXec1DYxnvz6jSWHdrSKMoeJUXVPKN0UxGaCyr2mLN9/SE6boqxmgp4zl4uE9rX7XnclK9Kt+YriqGaY+s9Fa0TLcnTLb+HVVcCbKfxSAKjVU9U6qFZtKg1cnGqeIZ7aj4qm6Q1o4bsdXkoOoVT+funNYz9s7RMhIAAAAYEMExAAAAAACwJaRbTS4GoQ4tNdQIiitxbVbn7prpfF33va7vY9VUlZukUa5Pw1odbbTUygispduaJQNbcYtEIyl0UhhaNcLsVpNZbSXHwbZbQFqbXVksGTxIf4SezpmFLic8k9CpmJRzHlkvj1W0vZEUhurs7JnVdTLZQbssUWBpsAu5cPvNuve6D61ZxbBRTJ+5v1Q7yvSlzgoYxcvGddsN2j6x6Nh51cni9pJFFcfi7bLmEh8z3WLSpv7MMqlaSYXV0frwPKliVreM32MVY3oGnvKjQO2070Wrcp6Xc6mqXXO1ivzEYKFzerwdnDJG8hRV3UoWk/L6tPSLgmC1zveN0OpYY/UZeupMFIZZCa2WW1ZW0XN8sWR4Nu2M2XrpSlvpipXp9oShXObPg0HHXgmt5hstOdf/3vLabR5b1urxRtA3xLwW5mqVvpXi0q02JyG+pvvnVn8vuOjknZnb1rzN32qx5kVV+jb7eQAAAADrheAYAAAAAADY9NKtJheDUPcsLK/jjCbrnLlpTY1QGWSU6xO3P8sStzvLa2sW2ChwkAxnha63zWZWW8lxyGpN2SUdGkt8uO+ck0ulgMrEJIxpB3IycgKZlY2cy8yuJF/teMwyAae8KldFFm6/Wf9y7dUD7rV+zr7ymr7bZAXEymw36Po8PZXCNFibynS7ybiCVjxO3tMgvqWTAca8kNnAbTI1RDfHEZStBOapt52iFAVpk21lp/xybSHjilZJ+2anusI/LWtHrh516nStE2SL2z56nlHdM511K0GoY81QnmdKhejyxO0lx8UO+bxOtkZcCcJO+K5s+8aWtetaOSwtrwXpWoqv6Tlz051Ko08/eSdVuAAAAADkIjgGAAAAAAA2vYMLS13fHyrRomtSrKLWiuW3V+nta76nU6drCqzTsWbvh+VlWkdK0r3H80Nj6XBV9P3qgsdWGp3l8aEqntFc1deJVksnWi09upz9QX4cCAtlO2GxrDabRS3Tysi7AqFNtnWMqpklK5olKy5FLfISFdBKHiPJU/74Mr3H6GyTGjzOIcTX2ya3zZlLcHxBjSFbTG6W0Nj0mft19pXXaO7CZ/bdtqiK1yDGFWfMe+3KBAFN4pt+75SuUFnG9llV14rmEY+3UUNjRpKXETqK5ttuF2miMFbF8zRd8XLbQnrGaLriyzrX1f644nlaaT+34udl4GzXs8yVDJZKUSW0uVpFjdCpEUbPzkeWo+ds1TPaVavIOqelINDhpd6WkVmssts2VjxPu2sVhc5ltrfMHS/1cyAtcG6g6pUVz2h3vaLQWS219yt7bkkbKTRW1IJ0LcTtJufqlU576pmqr/PmZgiNAQAAAChEcAwAAAAAAGxqLWs77SmlwT/AHpei9o1ZWtbpRCtqr7WjWlGtT4UVzxgZIz20uNI7Vmh1IggLQ2P9Wmg1Q6ulIFTQDgeEzmklsD3hg9A5NUPbFYIyJT8st86pGUYtKIOCEMIwfEVhsLxLkA5ylG2/l7edUXGFpnhdVsUvI8m0F2Z0z8scONmWMv4za26bqcWkJJ37q+/T9Jn7B96vvnuvKjvnxhbkSjKJ/yXHT9dnynztMjit5gPj+6Hr/ulTaixZISy9ab/jJ4+Xda2S7S6Tsu6t5LbxW94zZugqbJ4X7Vvx8sdIL696XmYwLDbdDkZV/O7WkifVK6r5nvx2m0A/VbEr2RayZZ2WwlChi57RabuqFd1/fFmLieelJO1oV3dKL4/trPQ+g712gPRYu9JWzzo3WDiq5VZ/rmSNZ2R0dKV8QCuwTithmPlcna748od48eNw1dFGq9TPviJ7NlAg6pTpWk8Vt9Nm6pqp+Dl7ZDtn57R21gb72CZuN5lsO1n3N38LSgAAAABrg+AYAAAAAABYE4G1XVVbhh2jmfoEeykIO9VfpOwKVoMatGpYI4xCY2W1rNN8o9WpulIt+HDXKWoDFlX46g1GtazVYqt/5Zi4SpCknnFa1mohEZAIXdQ2LC1sVwwzBWER51xmsMm56Dilrms7dJEM25SR9cq7nK8HXZa1TWYgLPF1el16G8/0L6IUV0WzieO1cqqJHb/9W7r3jz9UYvYbx66Lnq3KzrmB9km3dyx6vfJaVBbFKTrVtNxqdbjkWMYYlY2CWEXvic7r3B4zzsr0rTBmJG+Ix2b8XugXcExuU7ZYUhwW9VQ+NNq1v4muv9duW+uXGMczRjXfy33d4paTu2urbSWtJN9Iu2rVwraMy8Hq87vlXNezMMk30mzVVyjXeeYaRe13d1R9ORmdaAXRXNvnkwze1iueKmOsSNX7HHc6EeSHzGxWOcMCoXVdP1tjUSW23kptg6h40TUr+tm3WVQ9TyfVK502o1L0WsdVv8qiOhgAAACA9UJwDAAAAAAATNR8o6WDC0tdVcEGtRiEOrTUmHglsbyqYafP1Av3q/te322SHl5qaO9UrTCokaxIFrQ/wM9qPVaG166yk1c9ZjkM0x0TB2bbVcRC69phme71YSJQlqfaLr/j2ukaa8vHHJLVn5wk1943nRdJdsGMKzlltevLa+FXGHMwvd8WVVJKVqLqmqOyK4wd22TVxPqZPnP/QKGxvFBeV9WjjBaBnlaXJatl9ezbHj1ZCawTEIxfKBOVgSobE7Uu+56x6g5zduaamJxfpqSZy35vmcSNlRwzdC7zOqZDQLlxF6PC8FMt8YZLhrVmK5XOMa1zWrHR82yuWtFcn+pKRUFVKXq+VTyvs03TOi22As3VKrIyejwV6n3CTE1SFI491gzVSjwQF1uBsp5UntQOhoUZy6XjieWhc1rOqNbo1Hudh1FUBWwQO6rFoaaKZ7TD694mrxVjmcpfJ0/XVDFGvjEaocjYQPbPzQy970Un7+y7Tc3zVEmdTLLqV1lUBwMAAACwngiOAQAAAACAiZlvtHTbkeMjjbEYhLpnYXlMM8rXsFaHlxo9y0+bro+1KkrYjiX0C43Nt8MOgXVayqj+NYgp388dxzo3ltBYq10VLauoXFZ1rrSqZ+Sc5MnJthM7RS3pOmO3Jx9XLHLOKZRkvOgvvtLLPU+Sc53gjouDPalD2Zzl0bIJpR7a85LrvV7Hbr9Z/3Lt1ZM57jo5+8pr+m7TE6xS9+Xvej2ckzWpoFb7Qsa3UnL7fpWuXPx6pI/Rd9arx+65h+L5JMdsS88nDnzmsfE9ndrGOSeXcY7J5UXHLeIXzKnqmc66ur9akWq26ne+Dp3TYsuqYoxmaxWdXK+qWlANbFBx4HZ3rZI57qnTNU35vlaCUCcCK9+L2lZK7TBfa7Va2DCi8xvteV1kHD8PpOg1Kbq3BrG7XulcwyLTvremFcbO2Tmt2T7huDxPP3knlb8AAAAAbBsExwAAAAAAwMQcXFgqXB+3PiyyFqExST2tJquepz314hZnsX6tLa3UWd+y+dtaRa3HkhVyRgkJeCYKjVW8qIVaHtenGlhvmKl7+/g1tDZ7nLjdZhYjqeqpU6ksPo5Rd9WkeJz0vi6uRtTeNq6o5Bm1A2hRbC0ZaEsH5dId3JKtNk3mQbvPs3Turs+GzeMLas4/1rOZk7ZUaGz6zP06+8prNHfhMwfaL1mlLW6tGN0z7fsvJ7QY3Uvtalcmuq+81L5ZwozEY9ZrkzfXThvN1EbGdFcxM51lphOEjLbr/j59zLznSDy2lwiMJZcnee1enFnHSZ9QHP7qqXxojKrGRO9z1w6BKnqeTfu+rJOC9j6LrUC+kWYqFe2o+rLKby8ct2gtI27luxiEmql4ajmnVuLZWTFGc7WKGqFVI7R6ZLnZM0boMs5tQEWhsXFU2VoJRwuNjaPNZGzQdpNlwmXjEFcAHSY0RrtIAAAAANsRwTEAAAAAADARLWtz21OuVevJ2L4dU10BsCfvntVMZfVD5cBa3fzoQuf7qjGlql0tBaEeXmoozCqzpaiK2eONllo562PN0GopCDvhiqRhK6ZElZlWgx5ZGZPQOTXCUM3UyqpnOmG3sL1vHC4rCttY1xuOiMMfyT3SV3YloyVlsp1eUTgnL/ASxi0vC+Qds0iY0UKyn37bLWyyFpQX/t4nh963tntv3/aU6RhKsgWpEl8nX/oyr0Uc4nJSZmW8ouMll3eCia7/PZNen9XG1e8sS4bG1JOEi0Jwve+IzBBQe1leNS/THquW6tU57Xtd1cdmKn70PDRGTWu1HFo55zRT8eQZI0+rFciMkU6ZjtpAep4UWOlYI1SQuNi7Kr78RGWyrLdvEFothtnPw7TQRs+w+LUwxuhEKhMWL19PnjEqbrjZX/I5ntdmcndB4MkzkjfiHFbHMgMVXqz63sjHPndX/7aTVWO6AmrPPGVX6fFpFwkAAABguyI4BgAAAAAAJqKZk8xYq9aTSTvaYYXYGbP1rg+IF1uhdtUG+2uSxSDUocWotWVWxZWGtTq6ElUOqxSE0Jqh1WK7Ms44qsBkyXolotCY7QmUVdtzDdutJ5Pre9r2dR0kquLUtc45ORNVe4qHyWvdF3+ZXOX1btK9f0ZLx4xhh5Y+y2Rkpyh0VhR2S1vYZC0oz7/2DzVz5oGh909fJ6n7dc9qD2qcovsoa8B2MLHonZO+Z/rFVU37Bcy676KgVFTNbuACShlBqLzWp+n2ka5dSS9almpxabKDUcnWkVmS7SRjM4m2kpK0d6omY6IgcKvhOoHbeHlS3AZSWm39O1v1pQGKN7VCq+PWyjP9W0YG1mnFWnnGG0s1r0maHkM7zvjuyWszubteWdNWkIPYM2IFr3N2TmtqwGv49JN3Dh28BgAAAIDthOAYAAAAAADbXGCtGn0qYg0yVly9aiUItZLRgmytQmNx+8ia325b1j7HmYqvRhhVqYmdaLUy51qk33mkW19KUcWYwHaHseabvdslOWVXC5OiMEnmrFPLrYuCHEnNwLbHjto4GkWtxKyLQiJSFMyIda5WRlvLONDinOsKx8S3lU1sl27dF6/LDI2Z7qJLnQBQaty0SdWxy+hcKCm7qlRyH0kK2m0o0+7YJKGxYdtL9pN83U1yYUJWy9BBqr4l77lST7qMQKJTXMUvvq+HfGbGuyWDcMlAWbuKV7TYdZZFf/SGhbKqaRljVDHKDY0ZSbWM0FhaxVutKnUiUT0yuVyKgrMn1Sud0JiU/fyL5VVAlKRjzUBhyXaRS0GQO85G4RkTBZ6MSp9X/lhRaCz9ug3aMnItVf12y+ch5zZM20naTQIAAADAYAiOAQAAAACwTc03Wjq4sJTbTnIQa916skjDWh1ttNRqB8FOna7p4LGlzvpzdk7rW48ekzS5eYdyneOf1P7w+pHlpo41Wj3hgazoxs5aVdY5LQahrO3dJnRWK4HtCUiF1qllXadFY83zFH9en6zIY22URXHt5mmmPafQOoWJQExcKa3iebLOqhk6eZ7XNaH4S7/dBs26KHAWh17iYFBeZMJrr/e89lwUBdjicZPhtU6bTNMO8rjsMFfWNc1rP1hGPP90WCkZhcga12njtKE8+8prtPPCSzrfD1IVrUx7yX5662S1X/eS+3om8TpktIjMegfHx0wfI906NSm+H52isGTyNbeu3Y41a7+8imhZk0qI7/WK58kUjpG9Jl01LBqjeBRjjKYrfmaVrt21aud9f+p0TXXfU9gOvMZOma52QmK+6a1qlnz+JcXVFYOctJeTdLwZ5M49yTo3cNh3GFXfyE9cz+mqX9hycUfFU6Xd/tOT6YT6dtcqqvnDV7/yc4KA0fXvv/9pM/Wu9syjOmfntHb2qdJZ80Zr/TjM/rSbBAAAAIDBERwDAAAAAGAbmm+0dNuR42MZaz1aT+aJ26NJvVVw0pVLJjlva13n+HLSg4srmm8HIopax8X89vw8RYGqpMC6KMCVqEwkRdVswna7SGM81XPa1IXOqeVsZ38ryfabknMKXBQkS48ZhV6i5dY5WetU8Y1Ca6V2wMfkVUZr89rn7Hmm3QowOoZ10Xk651YrnsXVl9pj9gs/lQnzJENUcdio59KlDlRm3I3QhnL6zP0658prtOvCZ/a9VqPUQ0oH87JCYrGsdpRF4xqttnENlfXauJ7hvPY+6Wpcrl0xLy/EFm8fOiuTEVBLt5ZM7zeoqu8VVgfLU7ZqWJ6Klx0wq/lGdd+PqkTFrQGtVcUzmZXFstiMYFgztDrWJxTmRqzINU7GmMxnaF7lrLyqX1XP676Wa6xeaf/cG1NojGpeAAAAALD1EBwDAAAAAGAbOriw1Heb0EXVq5LfZ1WKubvEWHnOmJ1SreAD9bxjJl2wZ0fn6+8cPaF9s1OqeKYrUFExRr5nFFrXCS/cs7Ckpi1XscbKaU+tVjrcMeUZLVUCLQeBDi83Nd8IFRRUx7GJ1ni+UacKnMtombcUBprxV/9KZ0fNk3PS8VaomfhaJnv+ue5qTI0g7BrTtauDVfLK1jgpCENV2ufu0tfMGLXai5L3S6DVDnymnVBLFSvrmqrfPr7Taks35yTrrEK7mtWpSPJ8I+dSfSzb0ouSx7OKAmppoVb/ksyY6DVIVhUzkpKHC120TWf/jDaKVtK9130o42iTceHvfbLrXCuSqrv3qtquFJZsCRq/45LvPKvhW3zG4S6rnKCVuitypf9C0kmZASjTTvQZLwpJNQOrZFwlnm+o7tc1ep/2jlf1jVph93lX/ez7vmU9eX2ePVnvmWqZ8k9tvmc0nQphTVX8rnsrrnSWnElcNayfuZz2fhXP096p7uCPdU6+MTp753TPc64VWjXqYSccuhQUB8Ba1vVUcezXkleSAuc0XTLgZIcMmc1W+/91uGdWK0UmVYzRaTP1nuV5Vb+yqrGdu2um/GSHcP7uWU21r+GoFb/SqOYFAAAAAFsTwTEAAAAAALaZlrWF7SnT7RvTrR/HLV2hRZIaYaijjUCtPsGuU6drenS52fcYK0Gox5ur41lJR0rsFzqnE81QK2Gouu+VDo5Z59RoB7JC57QS2OxWhhlVs+LYRF41LV/SggnlnIvCI8vZ4yhd5SsVICvT3jFZPcrl1qMqDnAYafXAWcmieFW4+tokh47Py8ShLUkucMlN+h+/zVMUAEsG8uI/O1EYJ7UKwmdxtap0WCw9n+bxY2vWnvL8a/9QM2ce6HyfjE3F7/Tu13L1WsQrR631lNUyVFp9yZPXKxk76lT/ygkCGUm+k1biZ0Gf6nXxNunZeJJarvvm8yU1Czr1lglnJZ8J1Zwqf3mmMp4ptfYYoXNabIVaDu1QlbimfE+NIPvkZiu+FlvRqxDYqOWjdU4zFV/3HB+9CqN1TicGaIEcOqemtap75Z+x0uBV2marfqkKbbvrlcyfS6dN10eqHHbO3LSmJlx5bM9UrVNVEwAAAACAMgiOAQAAAACwCQXWqpFKrgTWqtmnQk5go3ZheS3DllqhDi83Ot83wig0NilZH+I3wlCHl5vtalPZ51PxjE6qV+Ub0zdcthJaPbzU6KpcZl20vIh1Vkst21WVzLYDKV0BrFToxjrXqerlXBSSCZ3rCV7F62NGURDCKr9lW7KFY3xwK9eTuUmPnY7RpENTWdLbD9cQL3Vt+hw06xVxif8lW0r2GWqo45cdJz1EcHxBzfnHupYt3z/50Nj0mft19pXXaO7CZ3aW5b1O6dcwfS1GqTaWFxrrp999FbWo1Gq5uTKhsQzjai/Z875sV+AyRp2KfMlnVud91rubap6nwLmelc3Qk3VWi2E4VFjXM0ZVz8jJqZUa20ia8nwFNqrkGDqnFWvlyajue3Lqrho4LCtXuiJY2G6DO2hobBCeMZqu9G/rOal2k+NuF1l4rJwKegAAAAAA5CE4BgAAAADAJjLfaOngwlJXxbDFVqBDS001CkIGk64aNoxqTlAgrpYU5IanokBGmUDbUhDqvuPLPWEIm2rD2Y8xRktBqMCuxr+sc10t5JxzCrUaHIkjBnlhJWN6QzM2DsYktk+2QLPOdQVgomW9Y/c7tczqZ8W79LTKS/5ZZr9+46crYyWPlayglTWPrOPF60ePweSPsXD7zbr3ug9NtLLYRb/3SUnd18FJmtqzV7WduzptDY3UdW/ELRNDG93r8fsp621VNhiYDInltRyNxS0+qxntSTv7FAR5jDHR/omwTivMrtxX8bzMYxhJ9YpJLSs+03S4J7ROKzbMfE/N+lEFq+R5hO2Wj9ZF17wZ2q6wW1cTzXSgzDMynpMvac73ld1YNduuakVG7UplQdip8GatUyMM28FVo5WwuxKYaf+/RhiqUb5IWI/pqq/4VfBk+raE3Fnz5RuvHeArf5w9U7VOSK+f02fqmq6UC6Sl2xv3W15WdcT9BzFT9WklCQAAAAAYGMExAAAAAAA2iflGS7cdOd61bLEV6J7jK4X7NazV4aVG4Tbr4aR6719L7KlX9O0jUau0ijfah+1LQagHT6yMpYKOp+5KPNa5rtZ7cUtKm9heSlRxyjiVdNCnPVDX9ulKST2GaGE3anQwKzTmJRe43mPkBZPSLSDTy+KgUjI0lR47ea3LBKDGFSZbuP1m/cu1V49hpHwXvPcPtfOsqAWlpyhEaGXkKwpW+Sa7XV/cMjGwTk3nOhW2rLJvJ5NoCdqzLuP7zGWJhfF9WxtD6CY+PycpzBmrknMd6n7/KlNJsxVffuK5EzqnRRuq5mUHuKZSrQ9D61Qx0TkH1qkVhF3Bt77HL9lKMW13raKq76kVWs03A1U9T9V4/qGVvwZhoqoZrE3njN99rcuay6gIluf02frEW0NuJOfNzaz3FAAAAAAAmxDBMQAAAAAANomDC0s9yw4tNfvuN2irybhFpFV+q8hSY+SsqxijuVpFjdCpEUYtM2ue0SnTNd19fLmrpeQoHllqKLs+UTaXCH7FLemMMaoYqZlqCxq1nuz+3rrVAE26VWQmU7xR39BYZ66p7zV6OGxQrvP/MlpDqnd55v4pcUgsGfTKOq848JQcI6t15LhNMjQ2feZ+nXPlNdp5wTNlXXcwL74enonu1zDRStVoNbQkRe1Y42sTDPG2Sgf78sJ/JrFB3AKy4kW1vYZ5hvjGdEJF8f5Fo6QDS0ZSrU9ozCXew54xUcDIRO/l2GIrLJy/c1LYHqXirZYQDJ3TUrBavqvfNYhaKfoDXy/fRK0VPWMUWqf5VAvi5WDtngSTajOZNkjYrDpi+HizmKn6Om9uRrvq1fWeCgAAAABgEyI4BgAAAADAJtCytqs9pSQF1hW2p5SiUEPZ9pQta3WiFaoR2qGrMoXWaSW0XeGHmepqtZ44VHK00exZpseHOGDePJzT8VZv37W4+oyVpHawI3ROzdC1w3JuteiXMXIuqtiU1AkpJRbbxLpBL5xRd0O6MhWHfLPaGjPZCjJd8SytbNvIIlljpI+XDnL1G6vMcfK2TS5fi9aR4/SUX32fZs860Kkc5iTVTjpZ1Z27Mre3djVE1QxcRpjLyTOu8/6NM5hlW1HGVc2yto3uy+5WqckWjWXal8ZhssI55Nz/UdvL3nUmDn0pqtjVeZ4k7E4EalrWttvOxsfrnnO8bRSgzZ/nyVM1nTodbeu3++ceWlyt7Lij4msxCHNb7sai469WVSvLa28fPed6n3XR6z+eEG7fuYwhNHb6TL3vNjXf04GSVbVmKp4u3pv9PtpK6r6hPSUAAAAAYCQExwAAAAAA2ATSFa8k9Q0kSKtBk35a1mq+EUStzVqhdrar2AwiDo1Jq0GCmYo/csvJYWQFJqZ8b/WcnOu08mskrq2T6VQCc64dkkleh2SlsURrxkHFH/NHFcoGa/Hmtze1MjJyUYUzG1Wf6mmRmTyeWa0Elzf1YQKDWZGFMmMkjzWO9pFr0Tpy3E5+xrM1vWu3pOLwTdwa1ZjoRbTOyZnV+ycpDh669jaSZBLV9PJ47X3T43XGklT1vMz1ZVVyxh9F/L7Oa/O4u17ptDZshVbLQfTOqWbcuLvr1U44LbQut2LV7lpF+3ZMqZ5og9iyVvVK4jihlWeMamtUiSvNrVFoTJKmK4MHl7zEtT11ulaq/eTZO6dLt568cM9OzVazW4wCAAAAAIBVBMcAAAAAANgAAmu7AkyBtWomQl8rYdgJZVnn1LJOzdCqZYvjIGXCZZJ0ol2dazmwUQWcIcIOy4nKZp6RpvzxhcZcRvAl3VrSajUsEdjoGkpRNZ+a7ylwTq69zCpavxxYxVGwZDavkxlLXb/OHFx3JaxBIhpxSMq4uKWl67S7SwyfGeryJQXqri9kE/OyGfsp3j55fjlzGyZqkt6n7Bgu9fWo7SU3W2hs5sz9qs/tllMUUvLjElIZArd699t2Jay4LWpXr1JTokVqjrzQmKSuUOKwskJuw4hDoZ6J3td5bR6jNo4VeYraOErSsWbQaSub5HvSbKWi0EbPVkkKne18LUXXwDfSXNXXXK2ildB2nslS/AyPvp8fsD3wJKxFk8ro2he3BM0SV56rep5Oqlc05RcHvOoVT6fP1DVb6R8Eo20jAAAAAACDITgGAAAAAMA6mm+0dHBhqdOGcrEV6NBSM7MFZcNaHW20SreeLMu6qO1l3NpsJufD+R1Vv6sqzEn1SqfiTuikh9tt2jwzntZlktS0VoutsKtK1pTvq2FDBc7IOqulwGolCHuCSKuhD6eGtbKutwpP4FxmtStj2kGaxDKrduWmduArWTWsLM9rb+/UqWRWMau98pxzCttz6h7XtOfg2t+trvXa28fz8tUdGklm99Jzj0dOn0Pc2jBuf1mmpeSwNlt7yXF58pvfGVUOs06eF4WbylSJMq77NU3yZeS3QzkVz+uqLJcXMo23iaqJ9a53iipoVT1PU5XBquNJ0pTny/dMz/MjaXfNVzVRSWpvvaapxHNopRXoSLPZeU/Hzxg/Va3vtOkp1XxPFc/0hJlONAPdeuR4T5jWM1Fwb7EV9KwL2+2Abfs95hmjpVaoh5eaWi9TFV+7apXcamhJe0YIT+2uVVQrqO4VXfvhxt63Y1pz1UrU4rPAgbkZ7Z2qlm7FSNtGAAAAAAAGR3AMAAAAAIA+0tXAxuVYs6WDx5Y63y+2At1zfCVz24a1OrzUGPgYzmW3bUyKwxKesltLVjyjHZXVYEfV97SnXlU98QF9Iwy7QgDDVq5KttZsWauFVti1PgitmmHUnjGwTktBqGafqmtRIC76OlnxyLbb7yUrIXUFd+KyY+3lNtHm0e+Ueyp/dp7agS/n5NrVnSrJLpjteXqK1qVDRPH6ZCBmtdLaagWq+OukdFvITljMRK97OnRn2hfGudGDYUU2Y3vJUc2edUBPftM12nXhs6KqdjJRBbGSlf6iCnXdjKLXMbqnjCped6DKOifb/j7veZDIL/bw2mNWTflWlXE1qrrvdT0/pNX3esUzOqle7QRQK57RyfWaZhItBhdboY42mpquVDSdcyzbDlzO5LSrXA5CPbzcUMUzqqTOsmmdlsOwp61kYJ1WbNRuclxB2FF4JgrfJdtpTkLZKmDDKFs5jKphAAAAAACsHYJjAAAAAADkSFcDm7RDBVVsjpZofbZ3qtYJFDRCq8cbLe2uV/q2i3zi7JSmK74C63Tv8aWudemKPr5n5CWCFytBqMebQfTnkO3ZQue0HNieQMtyu4qYdU5Bu1qYaVcaCq3rG4iLdYJeKTXfU2ijSkpR8ERyiXOrJio2Na2VsU5OTiYjXpO+xvHrEI9b8XxNtcMxLWtlJU1XuivjNAIn67nVylCpsEpgnfx2gGd1WbplZ8b5t5dltpR06gkhddb3ubxZd1WZVyS5373XfajEHpvTT/zRf+8KWTWtVe2kvart3CUpug5TFb+nWl4/zrmuFopJvmdUy6i45BQFRNOv6ZS/eo/vqVVzA1KeZ7R3qqJTpmu58zpzx0zn66ox8jzTU/lrKQj1yFJDTWu7ni0rodXxZlTx6/4T3eHZxxstBTnnG1inlXZFMM8Yff/Ycu78BrVSorLjdMXPfLbk2VmrdrY/teBapvnGqOqNHmDbPzfT9f2Td8+ongiI1TxvbO2F02peuWpgVA0DAAAAAGBtERwDAAAAACDDfKOl244cX7PjBe2WaFlCuVLtKaueUdXz1AjDTtBsupLfHi528lRNU76nldBqplL+rwpWglCPrIzWsi10TosZwTznVltnxiGZimfkFLWPk0Zrh2ldVAGs0g5NhBnt//x2SM1J8pyRNcoMjcXbxeKARxwa84w0W/VVaVcRC53RjO/1VISSrMJ2AKbneihun7l6rDgwlpOpKSVrV1NifV5orN8rklzfOn5sy7an/LH/9P9p74End753zmk59R6e8r1OEHIQVvmtKisZY1nn1AxtT2gsupei40/5nuoVL3cuu+tVnTFbz61Cdc7Oac1Wi6tILQahjq60VPG8rmBQUeg0bqObJa44GEsHMUfhVC6Ymn7v91P3olaip07XJlLRq0jWa3TGbP/XDQAAAAAAbG0ExwAAAAAAyHBwYSlzeWidWiUrXWWxOdWCGqFdrTSV0rKuE5YqHjuqZnV4OQpzxW0q88aNhS6q2tOyttPyrYxHV5qdeQUF+yQrYtl21aP4++VWoHS9pWjeUTAknnvV91TzPC0FYd9AR95al1zTbgkZX7OsfXxnOu0so3m77nFcFBqx7fVGUbjNWil0Vs12mzvfGAXWKpDkuShsEjjXVdLLuegeSLeMTDKKrkt8/kWVp7KuR2bFsRL7DbIub3lwfEGt+cc63xtJy/dvvdDY3NkH9Ixf/nXtueiZCtr3rmsHCOPvPWNU9aMqd8nXs4x42/Q+8X2WtS4dvDJaDYz5xqju5wfGKp7RSbWqTp3JDjrV/XbrwRLho0PtVrvpZ0zyOZJW9FyJK4LFLTGzWlQmRWGwvtNsz7HcdoOG/uq+pz1T1TUNjRW9RvVByqUBAAAAAIAtieAYAAAAAAApLWt72lMutgIdWmrmVgXrp2GtjjZapSqHpYXW9W1VWfGM/OUomNGyVifa8++Xa6j6nqoLy+0qZUFuyCxug7lvx5SqnhcF6FLpijNmu/dphFbHmi0tBVaLraBdDc22K3e1A2WJKl62PWZnBiZqJxmfQsNatexqgCstqtml7kBW+9uss2rZKLKWlxFpWqeaZzoVtuoVo9BGoRKTcWGNJBmjVjts5nmenKSWpDCn3WkUSovDRa4zn6zgyqDBryJlW0pmbZdXWSxr24Xbb9a9131oQ1QWe/4ffjp6PY3RtO9rtuLL94yMjIyRQmu1FIaFoSFP6nlTxVWvpvbs1a7dJ8lrlwMLQ6dGO5ToG2na8yXTXbPOU9Susoi1Tp5nuu776eQGRtpRrXa+nav62l2vqmKi++qR5dWqgHFgTIpasZ42s9ou8cwdM6r7q1W7qsao5nvyc8qbVY3prDv/pB2aKTiPwFodWWnpcNjoComFzuVWFJOiCmp76tWe5bZdEaxMcCvZzrKf6XbVtbhKYJGKMdqdMbc8dd/TE2enJEnn7prps/V4JF+jtJmqT0tIAAAAAABAcAwAAAAAgLRm2B0wWGwFuuf4ytDjNazV4Xa1nUnZ0Q45tKzVfCOQJO2u9f/P/j31qhph2KlSlmeqXZVoR7WSaGuZH6xYCUIdbwUKnbQchHLtyl4Vz3T+MsI6qWmi4ELookpunjHKijJYt9quMyu0laxq1gn2pKqbJcUhr57+fW2eJF9xdaaoMlNUJak9x4w5xNt4ipJxcUWpvHZ28fru88ie7yghsfh65oXAktJtKLPWS73Bsaww2bHbb9a/XHt12WlO1A994P+nk845T1O+p53VinzPaO90rTPnZmh1rBlox4DjWuc6IU1JnepdoXVqOCs/UQlsGNZFoTHPmNwU6GzV7xxjd72qqmd02nRNVc9Ty1q1cm6edLvEU6ajlrXDOKleKQwhPXSipYfbz8Cu1rnW5gabCtly1b7S7Sz7qRiT+XzJsqteVWWAue+dikJ65+ycHvo6j9N5c2sTXgMAAAAAABsbwTEAAAAAwLYTWKtGmB/FWQm7gwaHlopDVf30qxY2iopntKPqd8IYJ1phtKzid7XDS6v6RifVq/IkPbzcLKz6U/WiQFToXKfiWl5rTauoQtojyw21rNN8o6XQReG76aovz8XbOVnrOq3oVvqEO+LqZs5lVxzL2tsWhcba80xXHIuDU05RmM0oCu507pd2xah0O8+q56lpbVcQLWyHxpzr3V7qbiFoJQWuXLhrUHmtKsvsk5QXkWkdX1Az0YYythFCY7NnHdDTrnqndl94iQLrVKlGFeGsc11VBY81A2U3LC2WvIclReHH9v0+qjgY5RmTWS0ratHod+7ZHdWKPLXb6bbfm8k2t7bdqrHqGe2s+loMWppvJKqRKarwN6ipiqfbjhwv3Oa2I8d1rNn7HA2sG6qKY/w86meQ0JhnskOpadEzt6JqydBY1fO0p17VXK1Suq3nJM1UfZ03N6NdA1RLAwAAAAAAWxfBMQAAAADAtjHfaOngwlJPG8oiwwYbYqHcUO0p99SrnbZxcWhqz1S1K6zgJypf7dsxJc8Y3bOwJM8YrYRW842WnOsN/ERt76SjKy1ZJx1ZKQ7G7a5XdChRMS2uZJRc1rJOJ1qBAus6VZicogBN0K78dSIIO20ZB+EUvQ7WWiXjOMnqWPGf8eUx7f+XzgcaI8V5N6eMIk5uteWlMVIooyA5SHru7QMFYVQ5KRk88Yy62vKlBYnjJf83boOOmRWkSzOK2lDe/ccf0tL9k2tD+Yxf+23tOPuApKjtnvGiKlxB/Bq6KAiaFF/z+p69qu7cJUlaDqyMMXp0uSnPGFU9oyOm1akSV6aNYVnD1pKarvjyjNFsxVPd9xU4q8VWqOmK11PZytPqveaZ6Pts0fNrKQij96F1Oh6EOtEKe8656i2UquKVFlcjXC/TFV9+zuF3lAhpzbZDYHunal2tOqWoKtt0orJixVutIHferpmudVlqnlHF8zp/rre6vzHmAQAAAAAANg6CYwAAAACAbWG+0epbFSdLUBAosXKFwSBpNfRVVlydpuqbnrFrnukK9SSr7ljXbmtnjFYCq8ebUZWzfm3gskJctl3VyxijmYqvZujUbFdhO9EK5BmjlrWdaj6t0GoxWA3vRG0nrQKrTujOSQpDlx9vSc3Duu51gbrbODp1B3TizSvtKl8VLwqNmYxWkK49ifT+TlK7y6TUDtxlXZ/kkiiYF10rJca2trgikkuc4zAVwYaV14YyLyCWZ/72m3XHGlQUO/niZ2tqbreq7cCOdYoqu2m1ul2Sda4nLJjkeUZVY+R7nipm9f05ruBTJTVOMpyV2YI0URFwSlEIyxijpSDUUvu9M2s8pV8dK3VewOh8u0+6EUZVxxZbgeabQXs7q+PNMLcK16DXwBijupfdtnUtla38lRZXDpup+DqpXulq21mveFF1sIJg2Hm7ZghhAQAAAACATY/gGAAAAABgWzi4sDS2sRrWquIZ2RKhsKpndPpMvdS4vona6B1ttLqqlC0HVo8uNwpbXh5eavYNicWS84mDMy0XVQxbCawaoVXgrFpWcm61GpkxRg+3q4xZ57SSUUnNOqeWjf6XrLgVysnPiCY557oCNXntJTvb53zdWWaitpWdqZl2KCy9o8k4TvrYLq7mlD2vZOArChi6NQl/jUv61ci6e/Ku9z3XfWj8E0qZOfOAvNk5SdF92mrPYKogzOOs00pGC1UpOr+pdnUqI6PlESoJZo7fDlBZ59Swrh0Ki0KFyQCidVLLWoWJ6nvGZLdVNJIeXxksnGQkHVpckSQtB2HX69bMOOe4itbUAG0qJxEWm6n6mdXadlYrnSpfaVXP6NSZWua6J85MqZpzTvE5V4zpeW5WE1XFiuZKaAwAAAAAAGwFBMcAAAAAAFtey9qB2lMWaVirw0sNnT5TV3XMwYF47KRWaLXQbI3tWKdNp+dtZSUdbwadtpyhc2pmlG2q9wmmxaGxZEjGGCMnJ991t3GU2qGxxDKbCpG1811d33fGbf8vuaxTlyl5HOc6lcQKpYJhXVeoT2gsnst4Y0jjk27nWbhd3OqzXT0trr5mE/u3jh/T8gOTa08ZO//N16iWaoPYry2i9STf5a+P7pHonhy0ZWo/dc90BSrj90PVWw1aRctspypa/J7Ia7WYblFZRq0dlnKuO8iY/j5mtP7tJqXotcmaQ83vbdUZO22mrnrOs/Hk6dpAYbhBnDc3M5FxAQAAAAAA1hrBMQAAAADAphZYq0ZRbzplV/KRompYrT7hkXSFnrjqV7+KNP3aWGa12UuHxiTpRBBqR83XUqs4lmSl7v6OKRXP6KR6VZLTUhB0ljdDq8dXmgqc02I7XNcIbafFXtyysuZ7UbCrvTxwTkGqslMz0ZbSOUntSkueMbJdQZ0owJJ+2ZKtGzOribX/TAfGuq6B1FVezCXGLJIOpXXGc8Vz2SwGiQR5kmxih/SdF84fGcOM8s2edUDnv/mdOu0Zl3aCRONqixjvP2hmzObs4BRVpat6nqykldB27vNmouxdvH/LdocjTXv/9HkZRe/ZovNNB8E8Y1T1TBRibL9XbcZ7oes4xmiq4q97aEzKr2KWlRmr+lFL37zQmDR8C8siM1Vf583NaFe9OvaxAQAAAAAA1gPBMQAAgP8/e/8eLNl11wff37XW3n071xmNrpZkaTQ2tizLFxmwjKDgDaaSYOP4VgVJEUg9mMcxmADmGorgQAJ5EtDzAoEQkKnETjC8weZmDA6VFGBcJgbZ2JJvYNmSJXskWTNzrn26e++1fu8fa63du3fv3d1n5pwzM5rvpxjPOb1va+/uM+jy1e9LRESXpY1hhoe2+uc1SWw3y3G6P8Jwn1V1FoLMOqR6cjrPTcudYspPP7d4vD+EbQizDZ3DuWGGrLT9qk6KVCtcW1e5Fho2O+36er6Rc9jNLFwIaNXRSmFoHR7a6qOXGCRKIXOC3SxHJoLtUT6xfwyc5CJQUEiUD8HEsJsLgZXZwTg/psoCsEV6qxSakfG0LoEPK1XPFid5VV8riyGzIuwl09vLx0nD6+XzC/y6q9eshsvK57pUgmTVZ1a9vxizqcvUJFqhpX3YLxMUNX9Z5efEHdAUp7/3y7819VrnqhPorq5PvKZCtWQ3MbXrnlibAEBeu00rhaXUYLWVABBsDGf/2WGdw8A6WAh6yfgfobkwmc+J+OddhNEcXClMmWoFpTAx9aptfH1kx+iJYyfut+H1Yl0iGFkHwfjc844B/HNMS/vEPy8uhcLF9VaC9ZowVqIVrqtU/RqtoOdEIduJnhvuBYAXX7228BrbRrGekoiIiIiIiIiedhgcIyIiIiIiosvOxjDDA2e2z+vY3SzHw9uD8zrWhVTS8UrAoWU0OkZjN7c4veunhtVVSw6dw9mBn1hWrl5bSZPa0FfmHMyMpExmHXZCcC5RqnHfkXXYDOGwltHInWA789/7iUeTdZGAnwamQjgjbo1BMa38BKWmoIqfhKQmw1SVGsryeY3y05CaQmJ1oTI0vFa3vS5sFl9fqL5xgX2OIjhWV885a30+TDT+XmP8Ql2oppvo4r0VJ2hpP2VOKp/leZWli/ja/+dXcdXJZ+3rmESPP5PNmgOUS6mBUaqYUpXq5uCoFcGe8+daTpLi59U6wa7Y2gCRE0FSebltJgNMTgRLabJQqKlpXZnzP3vdBeolF5kkdrGnjS2lBqvttPbPr6u7rfOq6b2+Ejarc+dVK1hK6wO5RERERERERERXCgbHiIiIiIiI6JKySPXk+YbGAOB0fzT1Wl2tZF2VpFY+NKaVD3XF/bZGOYZG43Nb/ZnXrlZROhEYpWBFxlO5SrJwfcE4tFa2Ocp9sEcEA+uQuPoAyMYohNWUgnOCjWEG61yYBuanlhVrcg6D3I6naYnAiZ6YpBTX1DSvKS7VyXj2U9NULo3JikpgOgxVjfdIzdfVc9fVWi4S7moKZTWdf9HzHoamuE++vYVs46nmyWNKoRqXMVoh1yHsJwInQD8EeeLEMR3CiYPHv3Dea1595m148Zt+GNe84CVT25rqIOO1RWLJaTMn8Tw+qBin2bW1Qe4EOQS7eQ4FVfx8lT9fEn6e+tb644yGhUMcurZbUxkbKyNFxn9mqFBfKfCT+wBAw1e+jsK0smrV5CIG1hW1nf5+Z0z9W+Dk86aUHSatFJZTg/V2OlUrmWqNY+0EHbO/YFc70bi+18ZS0nwc6yaJiIiIiIiIiMYYHCMiIiIiIqJLwoVUTy4qDxVz0dA5nB1myKzDiU4LqfaVjueGGfKp0JiamN6UOcFOliN3gi/sDCYmiM0zsg67uUXuBOvtBKcrgbK6a1QJBBvDvKis287s3MlBbWOw1x+in9uiak/CegR+mpE4X1NYDnopt79Kz/1UN86annU+FZCzAl6L7K8r2y52DWV56ppRk89Ih+rB+NE7+8D9+OSv/hx2H/3cEa9y2lf9xL1Yvv6mideOXXMtemuT1YBWfHVjDEB1U1NbQ7jaMnMnT623EmTO4fM7gkQpjJyEoFmokgz7KYzDZTGj6kItpQt7KQCdJIEK0/CiXmmkmA1/nsT4l1JAO1EYl0eOL6rC/4ysK6aGzQp9NdFKITXzqxr9vpM1mXWu7bbRNhpr7QQ3LnXw3GPL6FTHph2ClvbVo6bmPW1pva8/T8vnnFclybpJIiIiIiIiIqJJDI4RERERERHRRXch1ZNlMZDRZGhdMSlsaH1oLOoYjUykeG1mRWSY2hXtJ+MQayMTrbDeThrDMJkTnBuMpqZtAT40NswFe7kP2YkInFaNQRStFNqJDuEYiz3rxtOOwoSmOCnJCopJTdPXPTzxER5lUKsaWjOlhbhS4Kep6hLw071GG09NvT7LvGrL8jV1XJtSyEr7GA0kWhdT384+cD8+8Z9/dsEVHL7u9Tdi6ZknAfh76CQaRmmUhwlacRjkrvKej4NegEAB6CUGWvn96yRKYbWVQAD0c4eVNMHAOrRN/Q9mojV2MotUa6TwgdLdUEtZDmQZrRorJa0TjET2HUIq/xm134rIOGnsIKoltVLoJiEwttzBras9LCUGX37tGoNVRERERERERERXEAbHiIiIiIiI6KJ7aE7F4zy7ucXp/hDDfPZkrMy52uleqdbQSuHsYLrGss5OlhdfJ5UgR5xc1uTx/hAnOi3Myn6MrMPj/eFUCK6TGAzCdCYHH/jyk9AUmk6o4TcNcoeRddjL/cSjchVlVgqcLRoaWyS6EgNSdeerO/5iTfeKa7GYnC41y9aD9+OR++7F3mMXf7rXpahrNJYSA6VU7Xu9khg4MTAqn6hpXU1SiAC7NoeIAEphN7fjztMK//lWODfMFw5U7ZamGuZOcG6Y1VbFAvsPd82joIopYEvp9D+WW2+nONZOpiZuaRxMYAzwk+ti7ehz1pfQC7WOvdQwNEZEREREREREdIVhcIyIiIiIiIguqsy5C6qn3M0tHt7au6A1HG+nsBBkdn4lowMmqiOXQ+giSrVqnCIWA1vzQmMbo3wqNNZONAZhwphWCtY5WPHTzvxEpuaTWvGVelYE+axkVMOm8wmNzTpl9fjzicOUj2mqu5w3xWzWJLFZth68H59665sX3PvK1NIa7Rk1iYlW2MnHU7+K44zGdpbPraU8X7GS1SjlJ43leWNo7MCvLeNJY0upmZpmtt5OkWqF4+300O6/qvznxqnV3pFck4iIiIiIiIiILh0MjhEREREREdHCcucwtAcbsujn9aGxebWT0SKhMScSzueKSkbAh1eOtVNAATsji+ECwTEbzpWE8IcKAZR4naG1RR1mVeZkInQG+AlX5YrJc8MRMhGMwjlizd/uKB/XSwIYhLW2jIZUAmES1hiNwns2rNw/gDC5bPL7g9J0rmrQS2pen6dcaFjnIEJj5RrKMobG5kuPncCw4ecAAEZD5yflBXHPbDjC+UUJBW6BT5BzfuqX08Buls/8vO8rIFn62Wy8tgCp0egleiI0lmiF5TQpJhXOqsk9aKlS6KUGp1Z7WGun8w8gIiIiIiIiIqKnFQbHiIiIiIiIaK6NYYaHtvoXNBlsUYvWTs5y25qfnLObWTyxN5wKSwF+0s7ICR7a6iN3AieCncyim+i5lXAaPmi0k1kAFrkTDKwFoLA5aujUg59sFs88coLdbDztKHcCpRR2Q5Xk0Lpi335ukYtM1ChqpSAA+pktAisxbBe/j7PQBD6c5mR2MCweV53mNe/78jH7rZs83xhi3WQxVfo6Zm8U5oThJDyf0vGbD96Pz7GG8rwt3XwSZ0wb2J2uhQX8M24ZDSeCXMaTuJTyk8r2o3qORaR6fu2jAiaCbVXLqf/p8j/748haXf1k+brHK+EsXzVb2sdo6PMKznnxz75F9BKDr7x2jfWURERERERERERXMAbHiIiIiIiIaKaNYYYHzmwfybUOonbylpUuOkZjN8vxeN8HV8q1b3GaT+YEG8Ns6nit1FSF3Cy5k2Jq2lLaHMBYb6elazvsZHlxvdwJRAGD3CKeIa7BT0vzU5LKy4pTyiS8aEUwapjQNm+qUjn8Vf6+qun1o5iPFMN6TdfzQZ/xvvEbU90xBoyUAkTgFKDE76cVsPHgh/EJThS7IM/5zh+YuT3RCq5momCyj587ALXnWMQiV2nNqNlcSk3xcxsn/zXVT5aV/wxoUg2W7cctq/7PvkXdcXyZoTEiIiIiIiIioiscg2NEREREREQ000Nb/SO71ul+/YSiRSRa4epOC0YrDKzDI9uDqcrIcsgkBrcu1MBaaKXQrdTPAX4Kkg+UJFBAUVO5McyLtSVhclicsCYiYTqY3zezkwV8LpwzTv6K+42smwqIKaX8+eKxNetfJHZT3Sdeu65i8mCLTL15obHqxR0AiEApwClMTGorJqbFCW7KZ8gUACiFz973cwe7+CvI0s0n8WVveAvW73jxRP1qpODDeU7GPwsCgYIPa5Y/94uo1r4uwn9uVeOEsjgNrfyzFWml0El80MrKODDa9PMfVaso66RG43g7Rfs8glztROP6XhtLyVRMsharKYmIiIiIiIiIKGJwjIiIiIiIiBplzh1JPSUA5CKN9ZQ3LnfQbpiks5tZnBmMkDkpgmdWBF/YHTRey2F26GQ5TdCqCXlc1WkhKb1uRfDk3gjVlS2lCfp5DiuY2JY5wXaWF5POynV5VgQj65AaPR6dFaolfdXkuI4vEynOG2so89LtxMlhNvYwoj78Vd4//l6uopTK64C/H6PGa6qaN5Wsur18zXLVJDAdEqtbTwwjAYCtPIPYm5nohillsc4yfDHa2kT/0adfPeUL3/TDWHvei4rv0xCMklCJWidOryt/3mPFowbQCSGloXUQEbSPn4DtLteeS0R81SoUrPjP+vgz7d+HvBLSMgc8xi7V/p5XWknjnyU+QKiw0jIwarzPsXaCtta11ZVGYar28ppuC93wfBI9f4JheZ9nry+ht2AADABaWu1raljb7G9/IiIiIiIiIiJ6emNwjIiIiIiIiBqNbHO46qDNDHIlprbirVxHWTZvapE0XEsrhbVWgm5SH6zoJnqi9jJzbmqK0Mg67IUpZOVNMTQWJ4aV2VKAJwmTl7RSiLPGysutxvhisKy4B6BISWn4iVuAr2OsmxCmysc0hMzi5uqvumTXrOCYAFMhO4NxgAuzAjYicCFkFAM8ce0CHzwqV1UapYr9ktIxTZwIhhtnZ+5zuVl95m148Zt+GCfuvAsD66CUQjuEvwB/z4Oa4Fi5AjLVCkbrieMAoJdo9HOHXumYxnPJZLjKhfcSmH5flPLvX/Vn5Hwp+GBWqjVWQwBsnuUwITC6utuCXqDgcr+Tv+o8Y6nNYBcRERERERERER0ZBseIiIiIiIiuYLlzGM4Ihw3shU8bs6UQyizVWsmobfRUaMw6QSaCR3YGGFoHGyru4q3kzmFgHZwITnRatWsaVq7nwhQkBTUVYnMiyJ1gczSqBMcEg9KUNAGwPcqw1vIVcA7jENtmlsG6EFCqXNtPbfIhl6FzECcYOQvBuF5TILCuNIkpBMyAyalbkQmTocaTvqSYYFY71UvGATJX2k8wnQ8rXnBAqv0v/5yAQcNHpjxVLN59/F4X3ZeVqVOlmxIAo50tZBtn/HugfKVgNzHYHGZQlS7LWESqAZhENwbaOtqgm2jsZQ7Ds4837LU/X/8r/7/yUoqvO4nGSlpfD6hVzXMOrAO28xxLIUDpYs1miYigl5iigrV31dXorK4B8O9L31pUr1CuMQ2fEL+/U4hbjnVSJGoyyHS8nSBzgqXSP1Vy4j/jVf3colXJUTVNFixnxdoN4c1ls/g/yoohQ6OxUPAL8CGzuOf1vTbaRuPW1d7MY4AQsLvAsFsvNQyNERERERERERHRkWJwjIiIiIiI6Aq0Mczw0Fb/UGsod3OL0/1hY0hkUdf32uNzZjlO90cYWofdLMdntvoYWoe93BUhKh/MEogIOkbj9O70RLJ5YgAkd4LdzGJgfYjrC7u6dhJS9Zqbo7z4HvChp0FufZDMycTUMJFxYEcB2MqmKyDL39ow1UtVjqtOEStPXaubNFZWyoEVU8PK+7rKvuImr5uLLu4lJrikYfpYeS1FKE1hatqYASBhZWc/9tf4zH0/d1nUSL70p38FnRtvLb6PocNEK7QSg+w8wkVOBM46DLQPNUplWy5+qtpO6dx9AFjgsx+Pl2oSLdjLLBI9/tkSAP08h6oEsZomjtWpmx5Y1ja6NoS1lJoLDmfNs5z6f1R2bbeNVGvcvNJFp6Ha8qCdWiCgRkREREREREREdJAYHCMiIiIiIrrCbAwzPHBmu5jaVadcVXc++pnFY7t7C+3rJ4WFYAr8NDHAT5M60W7h7DDD2WGGvdziqcEIgJ/Q9eTeCDuZxSAfx7AsgCxU8nVMfcgrXjNer0wgyKxCrhSsE+xai1EIw4gIMq2KwJaEqU9OgFwcFIBUawytQ+bcVLgns5OTyaZSVQqoDn+r7tL0jlRDY+XXF3kX5wXL6vYv6ioBuJAk889l9rlqw2TlAwEoHUNsgo0H7scDP/HmBVd28aw88ySe850/gPU7XoQ8TpQTP90uMboIH82rUa3jJP5MVl8fh8Z0aQLdwufF+Odt+poy9XXufB2ogoJU3smDKLVVCmjp6dCYVgrdpD5MdlASrbCcJuglBsfbKVbbyQXXTi6qlxqcWu1hrV0/jY6IiIiIiIiIiOiwMDhGRERERER0hfnomS18dnMPw5rpQEPncHaYTYSc5jnRaSGtTBB6vD+cqnusGjnBbpbDhorJPWvhwjExnFLVTQyMAnYyWxuSMQDShqBHnApmnUMuAqNUKfjkAz4CwVD7e28bjcxJEWxzAmSjHILmsE0frgg8RTpcR4XQi0OYFqYmA2SuNKGrGv5SNa+r0vay/YbA9qu8HgcgD52WGjVrVZPtkzoEnOJ2BaCdGIgI8pr30zrBQ/fdeyj3cb7+Pz/5/8XS9TdiYB0G1mJkBUtXXY12qIUsUwpFzePILRrjG4thM638FLx2ZfLV0AngHHIBjEh1aFutltFTtaYA0NXGT8ZztggwGgVc3+kgNQo7WY6t0s9dNzFTwczlObmnlVZz+EtDFT8jAHBNt12soSkAOs8zV7oL7ZeEmsn4+0HUTgLAi6+e/kxUtY1iPSUREREREREREV00DI4RERERERFdQb60N8Qnz+7Wbhs6hyf6+691TLVCWgo+2DCRa1YdXWYddrIcgI/S7IWpYfMCIkaNGw33EyaJNXrlSWqqNKUpTjxr6fGUMg0AITAWJ4tp5X9XNdcWkfEEs9L2cmisqKVU48lljQmw8vFz7q+6/XxDY3OW0rgeDYzvqXwSKb1fmPwdALqpgQaQCZCUnpkLYUK7vXXJ1VOu3HATkmfcArEOafg8pVqdd7ipSXlinoigXZmg5wOMdvx5XnANiarfzxiFQe6QKI0kbF5KDXotHxDbCj+v8djkPMJVPZPMrakEgGt7bbQvMEx1y2r3SKaFNbnzqhUspRfv+kRERERERERERItgcIyIiIiIiOhpIncOQyvInQvTjab91ZObyFz9NLF5oTGR+po9J5g45551tdPMyjaGWfH1bmZn7DlJKzWutWyom6wzzC0cgJH1aSYRgYaGU4KRdWEylCoqAQE/KSreR5zAVL57qTyLibsob1Oq2NeWXi9PGKtTN32svK0pfnMhk8b2W1UJ+C9cqWqyPPFMj3eZoBXQMj40loepbtn2JobnzgAI5wOw++hn938Th0xWj2EYQojxXpsCWyIy9ZmZ94x1mHjlxD8XrRRaRmMUrhk5APl5vNnVtcY1DXJbPHetFDohdOVEYJ1MfHb9Pvu/9jyp0TjeTi8oNNZO9JFVTNZh7SQREREREREREV1OGBwjIiIiIiK6zG0MMzy01ceX9kY43R9imNdHqawIvrA72Pf5M+ewk9na6slEK5g9Hzjr5w5PDYbI7IVEl5rF0NhuZrGT5chlOrxVtz7ATziTMB0qPh0r4+ekoEI4bDyNLCtV9sXXXDi+8arlqWMN2xRCCK+6ufK1QjG0q/F65f2OUl1lZqTVeCpZUkkXCYBOYoqwmBXgSx/9a/zdr/3sJTdZrM7qM29DuryKvRAoVPCVpp1KhaQNnzXBuIozcw6pNtAzEle1k9wAjGqCmBrwk8FCEKyTaOg5s+m0UlgOU7ByEQxy5wN+YfJe3AfwQTKtgM2wba/054qvX519reM1walre+2pWttbV3sAMDG17YUnVmeeu0lLX9zaR9ZOEhERERERERHR5YbBMSIiIiIiosvYxjDDA2e2sZtbPLy1N3Pfumlh82TOYWOYN26PIZR+7nD6PEJp+5Eajd3MInOuqOebRyOEq0LozIVgikF93WT5uDozZ6PVhMaq51k05FVeWd3ksfh1vL/yPk3nr9u2SDVldX9V93UpDGSUD+IZNTndyoXaz7IzH/trfPRffdeCV7/4XvymH4aqVD12KhWSMTQGjO8/dwIFhbY5uFBRnEYWGaiZn2nAV09qpZA7HxqLa+wmpqiLLeuY+qld3Tn3sd5Oayspq+G2W1a6U3WOd161wmldRERERERERERER4TBMSIiIiIioiMSqyQP0gNntgEAp+fUTJ6vnYYayUT7yUVpmK7z1GD/168PstWFrxQ6xmAv8wG26jOsmzoWCwGt+PXl1iL3G6BUCFvVHKcAaKWLGkkrAg1Aax+2KVdQVo8uh6JU+B/nFxjuY7xPdbpYk7r9YgAs/l5+Xtn2FkYbT80446T9TCsrB8WAUg1lKawUp4zVxZf8swAyo4rn8JEfvzxCY8s3n8SLvuuHceLOu6YqJIHJz/KwUik5shYik1O9DkL5TPEtGNe3Vmolw8+QFf/n0G4IiRkFtI2Bq9yDVioE4lBMhouvd42uDYUB8c+FZGqqGOCDnzE01jahTrIUGmPFIxERERERERER0dFjcIyIiIiIiOiQxSrJfkMI60LlIo31lOfjRKeFVPtwj62Z7KWVQnmwUS6ycD2lE8HQia+lK70epzRVgzUqTK8ahKo+wXiaU5xg5av2SkGqENJZSgyUAkZWoLRGVwF5wzJFwvkAWOcmQloWgLUSwmaVwE75HJWvRSanc1mMw1flwJfC5GQyrcd1lpmMQ2J114vX3Hrwfjxy373Ye+zSr3s8aC/6oX+LlZtPNk7bWm2naCmFXmqQVvZxItjMclgRDHOZCFwJgGFu0T5+Aq2VNXSScchJN1xLZPoz7MLnoFWZ0tVJNIy6sAlky6mvXDUh6DWwbqJedTnRSLWGdQ671sGGtfUSg1LLJQBBL4S4NHwYsBwMBQCt0plVmNd0W7hltdc4Ve32Y0tYaaW1dZKseCQiIiIiIiIiIro4GBwjIiIiIiI6RLFKcj/KVXeLGNrm0JiDFOEvX/HopuoCp44RQeaAzAnyuglJlddGNdcX8SGc8hYnwKiox9NF7aPMCJ75S/ltghjsEohIcbxWgEAVQTIFoJMaQI2fTaIBQNVOGYP4Zy6YnoJWDYOVw1519ZDV2sjysbr0tWs4XsNvdPBBs3JoLN/eQhamiZWvt/3gh/HI2+6dvq8rxLEXfDk6q+vF9y4E/7TWWE0NOonBkkmQaOU/Q6U31YpgNMowsA4Jxp8xwH/2kvD58Z8tB/8Zaq59rZtCl2gVpm15Wil0Eo1kTq3kIvwkM580zJ0g1RrleV3r7RZy57Bh3dS2JrOmhs3SMhpX1VRUcpIYERERERERERHRpYvBMSIiIiIiokP00FZ/4X13c4vT/eGBTA8bOoezwwxZCL6MrMPWKMfmKJ953ErLwIRAi3WCc6Os2HasVR/8aGmNG5c6AHw4bTPL0c/sxMQtAMis82EyASSfPX2tPN2pozWGLhzrACUOIwdAYqgHlTCbwl7ukLtQWCnT9ZdVGj6sFdcb82pxmll1v3JArKxa5whUzonJ0BgqX9c9lc0reJrYPGu33IZnXHs1AGCUCXasBZQuJtDt5Ba7ucOXZIRc6utJgcnpdU0yZ6cmjXVq9uskBi2tMHIOGgpL6fgfvYT8IoDFK0KbaDWefLaXW3RLPzOAD4Bd3W3hzGCE4wuGtqrTBMuu7rZmht1uP76CL792feI1ThIjIiIiIiIiIiK6tDE4RkREREREdEgy5xaup9zNLR7e2juQ6w6dwxP9YfH9yDpsjvKipm6WldRPZgJ8viWGyNbb6dwJRCPrsJ1ZDHIHrdREyEYAwPppZ6lWjVV/ANAxutjeTgyGuS0q85wS5HGiVEPNn4iEusn9T3SaCHkpwABFn58qBdDK08JMOMjFDTWXLaaKyeSEsXlr2XzwfnzqrW/e301cQb7qe/4l2tpgmDvs2hwKKD6/kZszwc+JYMGm1QmxbrX8We4lBru5Re4EidJYSsdBzMMiwESlZLScGmilIMDUFLDzkShVe53ouceWsJSaxu1ERERERERERER06WFwjIiIiIiI6DzkzmE4J23SnzNVq+x0Keh1Pnz4xa/nyb0h8lJQZiuExqr1euXvtVLoJgYaCtb5msnM+ehVLzFwTjCsCd/ESU0AsDnKsZ3XTzSTEN6JIZq6qj+tFBI13tZJDPayPITAwvXg6ydnZeAsBFPxFpn8cupw5YeWOTUeXqYUioll8bhqxWTdhLLq2uz2Foalisn9ZJQYGqu3fsttuPvNP4rrXvASOBFsjLLG+shqaExCLWlk3fTPRh2tFawIlFJIla9GzcVBiw9Cto2Gg2BoHXqJOe/QWN1afI3q9L5G+Z+TgdjiOKN81aSGQu4ufHphca2G8FnbaFzfa+OabuvArkVERERERERERERHg8ExIiIiIiKifdgYZnhoq7/wJLFF5CLnXU85yC3OjXJkISDiAJzZGxXb19sJrAhWWymM8iGa3SyfmLAUa/0Av307i0EzYGBtbb2lFcHIOaRaQ8OHcfZs8z2stlKoGSGaGCwbOQnVkILd3E8vk8p+TU/eFL9rJCE5JgBsGAXmUB++iaEchcnQlzRUF6rKNy7sW62g3GLF5AV79dvehZU0gVYKG8MMQytoHb8K7ZU1AMBO5gNTgxmfvaiujtI5h/KnOwYOy4EvHSaLpVoDavL9V0pBh1eGYQ3zQmOrrWRi21Wd1IffhvlE4BPwUwt3c1s7LVADECjslQKqOoQdt7MciVbnPWns+l574vuW0Ti52pvaL1X+Gr3UsJKSiIiIiIiIiIjoMsTgGBERERER0YI2hhkeOLN94OethkUWNcgtnhyMJl6T0rnW237qkFYKXaORi8NebkON5PT5rAh28hxGKThpnphmRYqQTKzqc8DM+sm20Y1TnXwIzW/TpYlkI+sWns5l4EM8IgKjw5pK09CaJjZFCn7CmAYwM4IkkxPHgHHArBoa47SwC/MP730brrr1WTjeTjFygv7uAHUzrRaZFlZXRyml6lEghMaUKj5LkYEPTtV9vtOGutRZeS2j1ESdZqo1nhqMYCpBr8w67Flf+9o6j8lly+n5/SOfa7qtqUrKZ6500THNwbBTNaEyIiIiIiIiIiIiuvQxOEZERERERLSgh7b6h3r+ct3kxOvwdXpVT+4Np2r4bJicVVTVia+bjBONZtnLHbphVNfANk9UG8XpZjF4E2owmyr2EqXgMN5eDWYNrEW1US9zLkwIq9QMQiYCYArj4JoSKSYu5SLFMxNgKjQUxcuWKyYnJpzVHCOVb+rqJx+57976C9Jc67fchq/87h/F1Xe+BFmoSN0a+ipKXzMpYcqbr5zMncytZKz7+amGxvz0sHEAEfDTxtIQmKp+FmM4sUorFcKEDUHJUAELAIlWODMY1a5vo2bS3yIS7asq031OG0u1xrF2go4xxWvtxNdQLiWm9pheanBqtYe1dnpeayUiIiIiIiIiIqKLi8ExIiIiIiKiBWTOHWg9ZfScY8vYGmb47GZ/KjQ2dA7nhhmymtSTE8HZYTb1uq+dVNjOfOgknrNu3zLBOBhTntRVlYvD0EoRrEGYYOZC1WT5+HiKTqJxZm+EXDA+DuOgXB5eitEUW75+yL401UaW77F8N2riu/kBMAmXiq+5yuuRwrjOsHze8nLz7c1Lpp7yud/5A7jmBXchDqzq6gRKK3+vTjAUV2wTAMPcFffrp7ApP21rsqDT7xvChS7Uh1bfhkSNw1UWIZzVsE4FIE00kvUTSJdXAQBnwjS93SxHP7cYOQcRBUEIWBZBP/950UpNnF/r8feJqb9y9XPiSp9RpRRaunrnY62GCVwxfLmItXY6US1bdvw8wlhaqeL9PNZOiylhNyx10G5Y76m1HtZa6cQUNABoaTWzfrJtZm8nIiIiIiIiIiKiSx+DY0RERERERABy5wNRTZpqG+vYUojKOvHTr0RqKymX0wE+fW4Hu/nkdKGhdTg3Y0KYwFfeVSdw+a99qEYpoGc09qwrQmEi9VWMcWJYub6v+D5MdnIAhplFVprupKERn4x1fr9i0pf4cIm1FoPKvYv4KWAToS41rpMUoAjAnGeT57hKEtOBpeopVWkfV/q6GhorH5ttb2G08dTUdQePXvzQ2PLNJ3H7G38QVz3/LnQTA6N8XagJ1YpWHPq5Ra90hw7AyI7fW6UU2lrVVjQ6EfRzCwdfqVjHaACikFmHBEDaEN4SEYjEekeFrPKz5sRhL3NwEBilp4KCCgrh/6BCcCpWqC6qHJaM52gbjaTmHE3PJVbCmjmTvlKj0DYGx9sptMLc/ferbnLYVZ0UpuF5nFrrMQBGRERERERERER0hWJwjIiIiIiIrmgbwwwPbfUPZJrYbm5xuj/EMHcY5BbnRn5S0k6W14bG4oSfum1Vq61kIsTiQiVl/D3KBRiUgjc74b6sSJjY5AMx5WO6qYFWCqutBEupwW5mkWqNfm79dLEQlcpsqI8sHZ2Xl64UMidFIMwfIxPTuMpTvap3Xa2gjPmgWbGaqSyM+MCSiZOunA8RucldAIwnhwEhtBTWrSv7VX/ffPB+PHLfvZfEVLG7/t//NvG9Ugrdq05gaW3dB6Dg70cEGOT+3Yuqs7Q0UEyoagpdOfHVkdY5ZCEUWc5xOfGvAYCykxWhWbV2tDJFTilAVT8VSgExmKYUjEJtAMoAaGmNpgxW3UStaLWVYCvL4dy4nrL8bFZSU4S7NNT0Zw7+89M8m2ws0Qpfc/1x6HC+YUPo7nwZNR1oaye6MTTWSw1DY0RERERERERERFcwBseIiIiIiOiKtTHM8MCZ7QM5125u8fDWHgAf3HpyMELmBBszKiJ7icHWqHmqWFmiVBFeyazDTqiiLIdErMhEaKz8ejmgoirHpSFsspRq7GYOToCB9ZPF4hQoPwFMQYlAhWONGp/Hh7QE4mQqEFa+bjk4NlEriJoXF6CBifSYVr4i0fk5VFAaUKVpa3H6mEJN6CxMrULDVDbAh8Y+9dY372+Rh+QFP/lLWLnl1NTr8X3RSqFjdGMIrJOY2s9LEyeCQelzJEBzaEwAKV12/P6Ou0elsixV3h6PE4ELr7W0agxAASG81bC9ZTTSmuDYejuF0cr/fDTkp3qJObCpYHddvYZeaiZeSw85uHV9r9247dRq71CvTURERERERERERJc2BseIiIiIiOhpZ17tZNQUGitXTZaNrJsIzpQ9st0vvn6iPwKAxtBYohWWU7PQhKI6O6Wwjysld3YzO/F9NCxVVdYdB/ipSjvheD9pbPKYyqwoKOXDZLE2sKipnLHuiVrKElXedj61lGENMduThRMJxlPMyrO21ORhE69Vl1BdziP33XseCzxYvZtuxW1veAvW7nhx7fttlAIESIyCg0zto6HQMSZMDZs98ao8FWxYCY1ZmTx3nD6mEJ51aWJcDJnFiWK1Vy2FvuKkNISpaemc0Bgwu5qymvvyP4MJUq2KatXzOW+ZAMXUsqpuYvBl60tYaSUTf4bMe/4Xop1oXN9rYykxU9t6qcGp1R7W2umhXZ+IiIiIiIiIiIgufQyOERERERHR08aF1k6WqybLNrMcj+7sTb1eVa2TPF4TytBqXHU3L7BSx4kP8Ozl08Guvcr0qJbWUJXgkKqEYGKoZyuExvzUqOmgmWBc/yjigzjVsJWIFJO8qjWEcZ+6CE5ToKy8vcnEO1IJKs06X3V708ynOJ0MALLtzQOrp3z29/8UujfdWqzDwL831TrFGETyIThB69gJpCurfls1EBarKX3nI0Y1IUetFHLncGaYoSZzVhAROEw/l/LkLetcUXPonH/vE63Gx4b1AP4Zzpra5cNhuvimCPdBsEibY2p0UbNZZZTCsXZa/GxqraY+h3U/q9f2WmhpjVvmTOXq5xZP9ocYNYTAWloj0RqboxybC04YLLt5pVM7leyFJ1Ybj2lp1VhB2TbN24iIiIiIiIiIiOjKwuAYERERERE9LVxo7WS5arJsM8vxmY3dhc7R0nq6/vCAxKlHI+ewWxOMk9rJU4BATUxMqqsu1ApYTRNsx/rLyjFOBJl1xWtKKWiMQ2hOBDqEymLVY114q+nRxEBZXY6pWmtZ3qfufPE888JjZRpxuhWmaiqL1wHkG2cWPON8x17w5UiXV8fhLKVgAKRGIcaanAji4DwRmTnNLS4z0QqpVo1TsnInjVPzouq1ymFDU3rPU62L913g61TjJDoJ91VXa1qnac1OALvAOzmrkrOXmpk/m1d3WzhbmQ54TbeFjjG4ZaWLpXR6Yle0m1ucHWRIQjjsMKR6OhR351UrnBZGREREREREREREF4zBMSIiIiIiuuQtUj15IaExADjdH9a+/ujOdJisTqLHk8REpqdB1ckr+1gntRV+RqGYZnRukJXOPd7fyeQEM6V8lWBciw7TrBwm15ZqhV5iYMUhcwIrglykqKAU8XV6uRNoFeooXRg5Vq4ptOMKwv2EtpqmkMVtdV/v97VZyoE0VZqSlm9vYbTx1MTErMHjj+3z7PV6N51EurI2DtrFaygVJrVNThmLX9eFA8u01jBawc34/PWzyYlXdbtVA2qxXhLKPyOlAKM0cufC58lvExmvMYbH/AQ0QEHVrl8pBRMeQt2a572fSik/XasmFaaVQjfRaJv60FiqNY63U/9Rhp+almg/naybGFzXbcNoNTNoVxc2PUysmCQiIiIiIiIiIqKDxOAYERERERFdsi60enJRuUhtDeVI3Nx6ymg5Ncisw05uke+jgtI6wW6eY8+62hBPy2ispAk2hhkEwE6WI9EKuRO4UuxIKZlIYKVGA8qHdVSYCjWqhO8UAKc1Ht7eK67tRDC0LpwfRTVlfArFGUrnqk4Fq6Mavj5fqvJ7dS1N70D1uHLITQBsPHg/Hr7v3gOrpKxz6g1vmXqtoxV6qQHgP4u587Wh4sZrm/epss7BSf3TFfGfj2KCWcP5aq8RTmkUYOFTVj706J+eqznQV5aqop6y7rwxzDjvc7OUmtppYnEG17PWl7DWSnB1p4VO4qeDJVoV09G+bH0JK63Jf/wRqxy3Rhk+vbGLzDkY5aeemRDgK4dJb1ruoFVThXnb2uway4PwwhOr6CWGFZNERERERERERER04BgcIyIiIiKiS9KFVk82sSLIKsGuoXXI3HRAbC+fH1hLtMJyagABNkaVaU4QzMqQ5U6wPcqLaWJVIoJWYmBLlYVajScgichE6EmcDwelWkGJIBNBlpeK/kq1h1CA1gpZZoEQDou7ZOJ/lQ5pDC2dz4SvGNYqT6U6n3PEX/tdSzXEFtew+eD9+ORb37zP1Syud9NJnHrDW7D6vBcBYdqYChWVbaOhoLBnnX/2ofZRl6aP1SYLy/cyqydV+YCW0uOpYFN7x+xhKU2n/SJ97WT9iWe+gbPqKYFx9WX9khXaM2o3U6NwotPGTUsd3LDcQdvoidBmN/FVk6ut+n/0sTXK8NktH5rsJbP/8UjLTNdFHpVj7YSBMSIiIiIiIiIiIjoUDI4REREREdEl6aGt/oGebze3ON0f1k4Qy5yrrao80UlxfEYlnFbjespzw6x4PXeCgXUT1XvLqSm+XkoS7OY5tFZYroRanAh2c4vM+tLHgXOA8zWSIoKRDfWATmqDUkopvy98hWAMlznIRBUjAIidDIwVr5fXUz53aXvdxK461ZBXN9HQ8M/c1y/66kNfgRkqA0vXlppzldc5b7JYnaSyUcO/l597270zjlrM7T/879C57ka0Ew0dQlUCwKwdR7qyNlEn6uCDjA7A9iiHKFVUhM5SjhClRhf3mmpde9+5jKfZJQCahuhZFeoiyyPkwgd8kbl7pvJ9ohVSPV7RsXYKHQJQy4lGy2ic6LRqz3XrShdaN7+LHa2QCXB2MMLxdorHd4cTAcw4PezvNnYXWPmlq5cahsaIiIiIiIiIiIjo0DA4RkREREREl5zMuQOtp9zNLR7e2tvXMdd0WzClqr1ZnKCYdJQ7Qb8yqaxctbeUGuxmFuutFFtZjtSMz29FsDWysE78/srndjIrE6EtFydSNayn2CeuD6VhVTHpVqqg1KWXUdp3XiCs6Xtds4OGD/MkWsFoDbG+PtOKr0AE/HSrTMQHkMQH3RYrCl2cKYWhDID4TuXbm+g/euH1lEs33Iylm0+im+himpYLU+4EgAv36u99su5TFg2NldYfQ2+Av7fqdC4RgRVVetuldjKZQMYfmvh+LHC/kcH0xLOW0cV6OkajXfp+JU38lLCaUNQtq10sJdUY2qTd3OKJrT0MrcMTeyOkWiN9GgasTq0efhUmERERERERERERXbkYHCMiIiIioiOXO4ehbQ7JVINXF6pumliTVGscayfoGDNRXymCiQlikYMgCxPBAGA3ywFICGQpdIyBb5AULCUGe5lF1xhkTqbqMXczi2FlUllmx3WXUsr2zAoZlR+tlfH0Ma38SeKkr7ibA6ZSYrOmeVX3q8aQBICqHKy0ClPFBA4O1omfhAX/nIxWGDk30cZ4oaGx6rQyHV8TH8xzpSrRwdmnLvBqXrJ+HFYcrAOsmgwF+vdhHDCsTnmTORnFGBqL9zKzmrJ03oVUQnrlgFr9/jFkpoqAWVGBqRR0qcGyFSoe4/0nSuGqbquYPBe1jca1vTZMqY61yee395A5Hxq7camz4E1ePnqpwanVHtZmTDwkIiIiIiIiIiIiulAMjhERERER0ZHZGGZ4aKt/oNPE5slFMMwdbltrntwzDCGVWG9XllmHndyilxgkpW0jJ9jNcjxjqQOjFURGyJ0DYGBDSCvurUO8atdabA1zDN2oNvglIhiVRoUppSCl70UELlQb1gaCQu+jwbjy0ck4BFYOlJWDYXXxoKbA0bway7rzA4CUg1JOkGgFEQURQQ4gD7WZ5clq8bzxa13aGIauTdBhZ1deT6WeM4bH4vPXYd+DqAPs3nQrZGkVmQNE6oNPcW3V5xvDYOUJd7F6cur9Kb3QSUwR3OqlCUxlZyuTE/CcSG1o0wmA3KKTmJk1nzEoWBcYjGuL99INU8O6qUGqFNbbKbRSaGmFrpl83kYpOAFO784PeVoIvrAzAOCfUfVn9lLy4qvX9n1M2yjWUxIREREREREREdGRYHCMiIiIiIiOxMYwwwNnto/8urkT3LLSRcfMDmLU1dwNcouNUQ4ASEq1lZlz2Mn86+udBBoKG8MM/Vx8ZV7DNTInMycpVeM8RgF5ZQJXY+QuBMrS0r5FEkumgz6zQmN1qmEnV3q9bt/qNQRAGqoUjSoFy1SoUawmwUSKystxAC9cuxROKh+jw7YUIXQnAqsm1xjrKcshQKOAqcTVeTj5f71lfL66MFO8p8pmBf9cEj0ZXGzN+cwCQKoVYmlp3WdciyApjX9zEOSq7jPow3yJBppKUOO0tEWCWp1SLWVba6y3U6Th5+eabvuCaiVdKUx5rH00/1gjPY9w2p1XrWApnV25SURERERERERERHQxMThGRERERERH4qGt/pFcx4oUtZG9xODkag+f3epPBbZ8VaLfb2TdVG0kAJwZ5pBQZ5jLuMtvc5jDig/aZM7XEp4bZhPHxnpI/7WfprWT57V1l8B4mpiVOAErBJ+kOAkycUUaS4rjxt+rcC1bei1OHquuDVg8NFY+pqzp+LrrmRAaUyE0ljsZLx6qqJCcOHHNBabeJZGJbRqAhNBY+VnHr3IA2fYW+htnEPNiRisMTj/WcDfzdW+6Fbf+X2/Byh0v9kuW+irRuilqMWOmIVBQE3WPTZ+VyIfj/HuulRp/Vkoy55A7Wzw3EUztFz9vVnRjaEyVKinnraldCsClRhWhsVRrHG+naC8QiJunXCl72NpGT0yCm4c1k0RERERERERERHS5YHCMiIiIiIgOXebcgddTPufYMnrJODSyOcrwua0+BiE1lYbgzWe3+nhocxxaG+QW50Z5bVCsbGgdvrg7LMI7cSqUANge+QCYVgqfOLsLBWAn3J8TwdBJEVzKQ0VjousjOU58gE1C2MjCT3yyVtAy2gfXXClmpICQFpqaPibwE8qk8lpcf1lddEcqv9dNKCueRen7VIVpaKWdJs4flm1FYMNOgqJZsybwpJDqyclSAEIlqH/NiQ99xecqIqXpbHEyFmCdf04CYOvB+/HZ++7F3mOfq7n7+W7/kf8HvetunFhvcuwE9PLq+J4wrqOcNY1NozR1TClfPyrjwWdpTVCpnRj0SpO8VlKDNISwrmqnaIUQ1chabGY59jLrP39q/NlTCuiUzq3gayO1UsX5jrWSiaCUf+6+tnVWgMroyXCZ0Qo3L/XQC1WVeh/hq1msE6R670DO1eT6pXbx58vzji9jrbVYCIw1k0RERERERERERHQ5YXCMiIiIiIgO3chWg0EX7lg7KQIaG8OsCIfNqqQc5BZPDkZzz51Zh41hVjvxqW6SVORkXEXpSpPPgHHwrLq/nzA2nsTlJE6g8sEnH67ygalysGs6alUKfJW6IqsVlUCYylW9r8q5mmiMp2QBQFurYrKaga/LTBSglX8fYhiuygerZKrSMYbSjFL+AZSvHZ8RFHTY7MN1PuhnlH9WAMahPe2neW187H58/K1vnnFn8y1dfxN6N906vp/w/tVFEJvaKqv1mlPblUJaqayMUqXQSTRSrbGcJn6KlwlTvMLPwtA5bI4yKAFGzk/FS9XsIFMvMVgrVUke77SmqiQz54C0vtK1TttoXN9rH0pV46D2iR+MdhLWnRhODiMiIiIiIiIiIqKnPQbHiIiIiIjostMLYZTdMOXrI09u4ewoq903cw79PAcAPNGfDo05CNZb6cSUoC/tDdFLzUQoqJcaGKUhItga+fPFcJjCODQWw2ajSjVmDFe1zDhQlVspJjTFMFiqx0Ey5wQ6RLpy8dsSrZCLgg0T04zSgEL4XqFtdJFLkhCeyt14Ahfgw0txOleiFCykmJBlQxumAZDo8f3H9cdzG62RaECgkFlXnDNRmHiWWgEqjhersKh5Xflz+ruR4rloAG1jinsBfDhpKTXYsxYtk0ApYLi1gb2zT2Fkx8E96xwevMDQmF+qQGtVTEKrm8wW77w6XMuEB2fqJs8phVZ4vZMYaADXLbX9exskGri+28bNK90iVJZoVZw3eni7jxOdFp7oD3G8nSIXmR0EVArH2ulCVYzPWOpgpTX/HyOkSi1c7WgrActFzJsWCAA3r3SQao0Xnlhd+LwtPZ4WxslhREREREREREREdCVgcIyIiIiIiC4ru7mFg+CDj2/gyf4QHz+3g0d3Bvs+jxXBXu6DXmfTrAjjCASbw7yom4z2Ml/n50TQz21RL9nPbVFhOQrBMVetiww1ikYJhtbBwYfCrEhRURj39xOpKpOpinpGBWcFSimoEK7yQTUFBwUTvteIU7d8CGuidjAGv8IF/VQzhUTF8JpfF5SCjc9EBFmsfwxhOm0dcudDZ5EL20fh2flpatPTzeqUWyYVZJxUw3hq2sjmUKV7yZ0rJrxtPHA/PvGf/wN2Hz2/GspF5CLIwvsHTL5vQMN7Bx/Ci5PQ6ibPlSeMaQArrQQ9Y4r3LbMOqdZIjMaZQX1AEgAsBF/cHfprxufkpq93vlpGz5zotx+7ucXp/hDD/HCmh6Va4yuuWeO0MCIiIiIiIiIiIqIZGBwjIiIiIqILkjuH4ZwqyoGtKyvcPxeSOhoKT/aHuP+pLdh9TCsS+FCXFWA3y4oAUOZ0MSEqsw793FaO89OxYv3hsDRNLIbERPyzqC5HwnGpVkVgDPCTzopjK/sXYaswLSpWVUIEEuorXQiu+d5JfyIXppS5UlBIQjgNAEwImxXPEoASVVQvCpQPxIU1qPC1DeePdZpAfRgpRopieM7f5+zqSwGQb29htPFU4z5xGlo5sqQBjIyPyG0++GF86ld/dsZVDkayfmIqFFheTzU0FtesSs9KAUXtqMJ4OpsTgVYKXeOn6TmIfy+dD4Edb6fQmD1ta9HJXdUK1lwm+zb9JL3J62RO0C2Fxs5nUljUzy1Oh4DbYWgbjecdX2ZojIiIiIiIiIiIiGgOBseIiIiIiOi8bAwzPLTVRz87mFDY7ceX0QmhmTpto/DRM9vQyl/vkxu7C587d+MaSSeC7cxOhGeGuSuCUHFaVnlymFIoKhKzMCks1jl6cSKY/y5Oe7JOxgEtTG6DEzg1bmqU0j5xklU5QIbSNiBMKgMgId8Tp32JGu/vSmvSQDEdrAiACZBDoJSvxxQ4hGFjxYpcrDoMi1Ph+OJ+wu9aK2SV8Wnle6pSADYevB8P33cv9h47vClhB6V3061or6xC+2bQqYpIYBwQW05NmArndY0Jk90AYwDnwjMsnUNDwShgvZ36cKRScAK0jK8tPTtsnjS2iPKEvSop3U+iFcze9L31UoOW0TMnhd203CmqWGfpJQa3rfX2fxMLiDWZay2GxoiIiIiIiIiIiIjmYXCMiIiIiIj2bWOY4YEz2wd6zo4xWEqbg2OZc0VIbZBPTwVrkjsp9nUi2LP14RnATySLobHyELXyJK28dKxR48lbIjIRBHIxcYZQVYjxvrFe0l9xHLCKU6tmqplSFteoY6orrKccGovnjfci4TUlfn1aKZ/5Uj45Fidn1S2nXL1YXCtcTDAxvKqWArD14P345FvfPGfPS8fJN/wAlFbFBDGt6qeupVqhpfXEtm6i4UIgzyg1OTqtZD1OyAr7mXmfhQVZEewuGPBcTup/Bm8/tozd3OLhrb3GYw+yypKIiIiIiIiIiIiIDh+DY0RERERENGGR6smDDo0tcv1+bjEIFZFbWV5UVOYNIbBoUKqVLE8dK4evtKjiNSeCLByjQnhHxIdvcicTIa+iQhKTQa5xg59AF+Ew5SsfMa6vLE8WmwqNNdyWq9ukSoeE85bDW3G6WJxgVt4WA2ISplzZohIz3Hjl+Sr4Sszy61b8ecoTzuK+1RrKeIsfv0xCY72bbsXJ73gL1p/3oqIqNI6hKwcQlQISFWonY7ov0EpBILVTygS+onI5TdDSCplzUFD7qmCdJQ+TxqrKa3cCJMpPStNq8tq9xODZx5awkiZ4aLN/IGs6Cu2DSt0RERERERERERERPY0xOEZERERERAAOvnpyvzZHGT61sdN4/YF1RXCln+cLVfcJBLlzRcArd4LMOQxdKRClFJzz19QQWMBP4goRp4kMW5zQpXx9IJSaCHGZUAGZaAXnBBYKWRg1ZZ3A6PEEr0RrKOemhk85v/Dx9Yp7mWiBrFRZlvaZXO7U1+V9FHy1ZZhRBivj4JdAxucHitrO4iQl1TCaArD54P343GVSQwkAX/Uf3wnAV5FG7WNXIV1Zm9gv1RoamJysVamdXEoNNBTW2ymu67XwrLWlqevt5RZfGoxgRaDhK0wFwBd3hk2ZwfOioNBN/Fqt+FpSCCaqHK/rpWjX1MS2tEaiNTaHOTaH+QGu6nD1UoNEc/IZERERERERERER0TwMjhERERER0aFUT+7Hbm7xt+d2YfTBTgnKrGBgHTpGw8KHxnI3DowB49pFPxNKN7UIejGtBR8eq6sq1Ko0vSyExuI14sQpo/xkKVc+XmQcvirXSobJXxK+jyGtiSllpfpKX4lZX2UZz1WWKDUOPYkU124KrJXaMIsdXLhm/H7zwfvxictkohgAvPSnfwXHbjnlp83NmfRllJ/CVffeR22tsd5OkWqF5x9fwWpr8m+9d7McX9oboVsJa2XOITngnwHr/KQzK4JB7rDaSrDeSZCWglXLaTrx/flKZzyTo3RqtXexl0BERERERERERER0WWBwjIiIiIiI8NDWwVXQ2QXCN+V9cyf4wu4AJ1d7yKzAOsHQuqkKysw59HM/9ahavedK9YyCUAEpgu3MInMCpQQj65CFqkkRCQEoH3TRYdpWjEc1rT6eWxsdahnHe2r4KWK582uL66/GcYppZRXFHVVHhoVAmZLJ3NdEtaUaZ75UDI1VbsIpQIUAWjkFFp9H+f4AP4ksfh2DasWh4fWsVENZvs/LpYZy+eaTuOONP4QTd9610P5KAe1EzwyNpcZPGuulBtd1W1OhMQA43R+d95rP117ukGqF9XZyICGxqrbRBx783K9eanBqtYe1djp/ZyIiIiIiIiIiIiJicIyIiIiI6EqXOXcg9ZS7ucXp/hDDSqirztA5nB1myKzf95puCx8/s40n9obYGOXjqWAzWBHs5Q6Zcxg5B+t8DZ8VP2WpYzRGuUUmAhEfGkMIjBVznsSnsXLnw1mxJlKVKiKByfpIo8MksQoHIHcWncRAxTFcCsW9GOUrLON5U+2TWXEKmXMhuFVMNNNItUJLq0oQT6aCcwpAVl4/JqsjAR88i+uU0mujSkAvTi2LFZ1S+hWvtfHg/XjkMqmhvP2NP4hrnn/XRBCxbTS6V51Aa2V9IvDmACAf/yy0tIbWMVzoXddro2Xqg1daKVzbbaEXqipvWelO7ZOHYORBON5O0W5YS5Q5gfOfLBxrt/zn7hBc32sfyHluW+tN1Gguqm0U6ymJiIiIiIiIiIiI9onBMSIiIiKiK9zITgaH9jMxLOrnFqd3hwvtO3QOT/T9vqnWONZOAAEe3Rng3Cibe7wTH3bbzWxRLRgnlxntQ2MAkKsQxAKg4KsoVWlSVDFlK/xeDodVmhiLFzV8OMhXQ04+IwUFo/11AAURHw5S4TjlL1b0PEqYJKYBGK0wdHGlGB+nFIzRsKUYmBMFFVNgSkErILOu2ENhatjY+FgA+fYWhhtPYZH4kJR+j/tvPfhhPPK2exc4+uJaufkknhemibWL5wu0jIKGgoNMTYOLnwWtFFKjYMJdO4xrRJuGjSXKTxrzVaXAiW6KoXPY3ZsMZY6sQz+vD2rmIsXnt4kL61tvJdCqGiqsOacTaKVnhsbMBVRMto3G9b02llIzf+cZOC2MiIiIiIiIiIiI6OgxOEZERERERAD2NzFsntvWeo3bPrvVx/W9NoxS0EphkFt8ZquPM4NsovqxyldVOuTOYeRi5WKYFCYh3FTK44yshVI+aJNJ6Z5EJqZxFeEhGYej6vI1Cqqop9Qhija9j1+LgytCajFOo5SChOlmRqki9NUyGiPrYMPaiuU4QMHhmB7/bZuIYGRtUQmo4INB5ccWQ17ViWlbD96Pz14mU8IA4J7/+M6p1+I9tRNTG3zrJP6d6R2/Gu3VtfCqYDVNsZXlU+eKj82KC98rrLTGE9eGuYUt15Gq8L5XPqZa+7jguWEGrXz48uNntxeanBcdnxOYykSwk+VYThJoDWwM54cs45qNag6HpVrjmSvdxilqs6RKTdRTvvjqtRl7N+O0MCIiIiIiIiIiIqKLg8ExIiIiIiLCbm7x8NbegZzrlpUuOg0hlFx8yCkNIZFBbvH43hAD6+aGxnbChLE8hMSKAJg0T9gCMDlVqhIamxDrKZWPhFWnk1kACiE0VhPCMeElK+IDRqq6XRXTpHzWRsH5tspxwKh0kAKwnCZoJRo29+cdhulRRk1OS5u6ZxXOFe53+4H78fG3vrnpzi85X/nT/wnrt5xq3N4x2k9+q1hOzcTrVgQiCqlWU9O2llODncwid4KRFSylpghX+RpUC6UUktL5llKDjtETYamqzDlsDPPG7XXW28mccwq2R/6cqVYz992vY+0ELaMbf2YXdedVKxc8dYyIiIiIiIiIiIiIjhaDY0REREREhNP9xWomZ0m0wtWdFoxWGNjJeJZzgkwEQ+vQz8ehmif6Ix/ccQ65TB4jpUDY9iiHEwm//LZ5c9EEIYclKCZ5ufLG6S/DGCpfJ1kOZTmEiU0S1zYuqlQYT5zKnSDRygeWStsTrTBy4xVr8VtixaYAE8E5f4yGdYJ+ZjFwDllu/a1gXMcpwMRErOKexIfcYrDus/dd+tWSALB080nc8cYfxNV3vgTA5HMuawoZlp97DHyV3jb/ulY+YObnik19VgFgL58MMmql0A1TzvI5H779hMbiWtI507Z2sv0F0RYRa2I7hhWTRERERERERERERFcqBseIiIiIiK5wuXNz6ylvWu40VtntZhZnBiNkTqYCaENrcXaYIwuhKesEZ0sVe0PrsDHMJsI7RTgsfC8iRTiq3PwXZy5ZNEwcU5P7oybvoyv7p0ZDAxNBHh/UctAKGOQSKiUnj4OVIugWg2DFZhUWGa8Z6ioV/HoEAusmTykAdq3DnnVQI9TWMkYudFNqiecfrz9zDqOdzUuunvKr/+M7oZWaCGetXnMNuivrAPxUrZETuIZZcj1TP6FrvW1glC6qRs8MMiTKTxs73k4nJsFZJxAIeol/VuutFAJgO8uRh89rN/FTyOIxixRPzqucjOqm0kUnOq1iQpqFTFReXttrzQ2azRNrYsuec2wZvWR/ITJWTBIRERERERERERFd3hgcIyIiIiK6wo3c/DhMU5Xdbpbj8YZpZUNr8cTeqPGcQ+twbphNhIecCGxlOUYrWIc4RmtSTZAMqATCwn5N0biYn0lCLWGqx6EaJ4IsBMEy6+BCjWVdkktEim1NQS8dfjkABuOqyTgYLd5SY1CsmjSKzy6Gx8I+SoWpZEoh2zjbdLaL4it/+j9h7ZZTaBmNUSkwGOsnbXjmRimYhifRThRUzbZukowDheEca+20sdpxNU2xHaZ5OfjJXi5UjQJ+IpipPPOW1o2Br4MyUcXpHJLS+jvG1NZ0XohUKRxrJwyBEREREREREREREV1hGBwjIiIiIiI4SFF/WGdYCvhYJ76uD8DD23sY5La2LvHJ/nRozGI8PWwjhMbiLyDUAIZTKaWgY81grCCsXCauqhyjUfF7md6viVG+bjIJF4xrHJUmpfnsWv0ziteUhlxXsY/ytZ0AYBVgxYe9ZoXGlFKTJ6qc2MGfQ5UOzp2DINRtNqz5qC3dfBK3/98/gKuefxcSrSbed2BcPzm0rjakGGlVHxqL4arMOYTMHLqJhhPBsJJGTJSviNwIFagAsDnKpkJiddc47NBYqnVjMGzWtvPVNhorDI0RERERERERERERXZGuqODYo48+ij/7sz/Dgw8+iM985jN4/PHHsbu7i+FwiF6vh+XlZdx000247bbbcNddd+Grv/qrsb6+frGXTURERER0aDaGGT52ZguP7Qzm7mud4NxoXDs5yC1O94eYN7DM1/2Nv/fNjjIRNhOEykXxAS6fd/LTxwQ++6RDOqtcY9kUoYkZqrifVv5XOXDkGwr9hLGO0YAAuQCipLSPQi4Cpf30q+rfQCXKB7sEQFZ6ECKhclNhIrglCCG20uKqrZeo+V4VU8xk4nmXM2ECH0SD+JCbCmfOpx/PoXnu//2DOP78F09UKwJA+9hVSFfWoJVC5gSZszVHu5mhqPg5WmulRY1jlIVgX5xgFmswdzOLiZ7QsA0Azg4z2GIfYCmdX9O4vMA+F+pYu/lv0xetwdyP63ttnFrtHfh5iYiIiIiIiIiIiOjS97QPjo1GI/zhH/4h3v72t+MTn/hE437b29vY3t7G6dOn8aEPfQjvfOc7YYzBV3/1V+Pbvu3b8LKXvewIV32whsMhvvSlL13sZUy5+uqr0W63z+vYi3lPnU4HJ06cuCjXJiIiItqv3LmpaUvR5ijDx8/uYHs0GS3yk6Am993OcmwMx/tlzmFzlE/s5yqTrRSAdmIATNdPxpCVCyGnOO1MAFjr/JQt+PBYyJOF/cfnjvuXA2Lla5crI9NSIEngA18QQCvBUmKQaoOdUFlYnDsM60qVwqhUKRl/N1pBQ0EgE5PCJNyXoGFCWaiUdCpMCWtQVGKKQNQ4QFdWPJfwdb69hdHGUxPPZXj6seaLHJCVm0/i9jf+II49/66Zk+vqjD83qvT19Gcw1QoraTIVGnMYT11LSu+zA/Y1nWvWvK1E+wll6QVO5RKMJ87VXeNYO4VRqghnAn4KX6o1jrdTtGdMYtuvttE4udbFC69axdohBNKIiIiIiIiIiIiI6NL3tA6Ovf/978dP/dRP4ZFHHjmv4621+NM//VP86Z/+Ke6++278xE/8BG699dYDXuXh+5u/+Rv803/6Ty/2Mqa8/e1vx1d+5Vee17EX857uuecevO1tb7so1yYiIiJa1MYww0NbffSzuslO3me2+hjmrgipjKzDbm6npkUBPgBVDuG0tMaxdgonwF5uJ0JjVgS588GpPTtdEulEMHJSXMeWQlZF4CmcL9Y4Cqpzo7y4okSrIszlRGCUnySmoOAAdLQPeGUiRZ+k3x8wSiMTv85OMg7miAOyMBlNYRxg8+tUyHJXBLbiHCqjFZwTqHCf1diShp8KNuteyrWVEioX/XPDVEIuXn/zwfvxyH33Yu+xz9Wceb47f/TfY+mGGyeCVy2tIfDvlQrXiqEwpVQRTOscP4GltfXiM6D17LBWO9EQATLrQoWoP1cn8U9RA1hK/d+qrqQaRiu0tMZ1vc7UuYxWeGowws7eqPZzO89qK/GfA+VDWwCKGlYAWG+nuKHXRqsS2LpxubOvEFk/t3iyP8TIOTxzZXq6V6JVY01mqtTcZ/qcY0vomMWnobW0wlJqWE9JREREREREREREdIV7WgbH8jzHz/zMz+C//bf/dmDn/OAHP4hv+qZvwk/+5E/i1a9+9YGdl4iIiIjooG0MMzxwZnvmPrkIhvk41DWyfoJYHYGfCjZVD2gFe7mPQMVQmRWZqGyscmF7DIbFaV0xNIZYQxmmckEpKJEiQNbUTanhw0w6rKVtdFFXaJ1AKQUnygejSueI+0GAXmIm7mMkMdZUXr9/RUSK8JcJ1477KuW3oyYIJGF6WF0l5cT9h3uKj1xcacfyceJDY59665vrH8yClm64CcduuW0iHNgJYalBCP+50nubKF/rCYw/F+1EY5jPrpv0t+AnaimlisBdJ74PAJYSAxPO2UsSGK1wbbddO23LQpBZOa/QGOADY1oprLWS4ppw489zohRaRk+FxJbTpHg+8+zmFmcHGRKtcWptaaFKzP063m4dynmJiIiIiIiIiIiI6OntaRccGwwGeOMb34gPfvCDB37u0WiEH/mRH8HDDz+M7/u+7zvw819p1D5qY4iIiIhoMblz+PjZnSLs02Rox5PGhtZha5Qjd3EC1CQnQO4EptKruDnKJiaNOREMrGus4gOAYbhmrOyLU7XKlYsT+TQpBbHmUApFuCgGf+L0qFzETx8TKaZ4pVrDQaDET9caOVfcz7BhUlpMbjn4hSs1nkIG+CCXgwohsMk1+wrL6qJD2CzsHq+qUZk0BiDb3kK28dTUuj55gaExYPzMy+9nDPPF1+LvxqfjwqQu/6xbRhf1nHbOezXIx/PW/LHjN7ybaCiFicrKrjEYWFf7mc6cw8Daudf06697TbCS+sBgnKZmS2Pd9lN12eR0f4i20bi+12a4i4iIiIiIiIiIiIguKU+r4NhoNMJ3fdd3HUporOxXfuVXkKYpvvu7v/tQr/N01mq18OxnP/tiL4OIiIjoaSNWU24Nc3x6Y3fu/plzeGR7D7u5RT+zODfMqi2IE2L1YyQAtoY5+rlFLj5kFCsoy+cxYd8YtCqHd7QqbSsL+6hQPwkALaNgQwVlndVWgrbR6CYJdjM/Oc1BkGgDA8BojX7uI0HxFJlz0KJQd+flaVIurrE0eSuGpHQIvcVpZ9AKCNWO8T+UiMEyoxRMKSRVycf5qVml6WpaKRgFnP3oX+Mzb7sX/UfPr4ZyEdXZWSe6KY61U+ROsBWepwjQz324Lne+vlMpP5VrZB2sG1eNNumkGsvG/22oUuNnVA7KAT64188sdmqqVvcTvrIiGORuIhAXlYNvdeWhiVYTa7ptbVwx+cITq+gl89eRO/9czJyqSSIiIiIiIiIiIiKii+FpFRz7t//23+Iv/uIv5u73jGc8A9/4jd+IF73oRbjhhhvQ7Xaxvb2Nhx56CB/60Ifwx3/8x9jZ2Zl5jl/8xV/EyZMn8Q//4T88qOVfUb7+678e6+vrF3sZRERERE8L5WrKfIHJS4CvH9wc5cidFIGqWaq5FxGZqKWMYaLqeaaCYeE85RrKIpwjYXNpnyJYFAI+TROgjNZYShMolKZEiQ//aAVsj3JfjVhzfLkmsZYISkv0VZule4D46s0khM2kdC4RX/MJpZAoNAbfXOkawDiItvngh/GxA5goNk/3qquLZ9AxGle12+gkGtYJhnb8Hg/gMArveawCHYkr6kFHbnZV5WqaTlWeVg2txeYor62C7CWm8RlWxdBYXGudWWtdLgXUblnpTqynl5iFAmy7GY4kNNY2DKYRERERERERERER0f49bYJjf/RHf4Tf/M3fnLnP+vo6fuiHfgivfvWrofX0v4S444478KpXvQo/+qM/iv/0n/4Tfv3Xfx3ONVf8/PiP/zie//zn46abbrrg9V9pXvva117sJRARERFdUnLnioDOfn387HZR41euoJzlqb0RrPjQWBSnMpVXIaHicWQnA0FOBEM7nuSUi0AgqCbH4koknrc0kipWIRbHqNKOKu7veyWN1rBuenKUcw5QCloEozBZauj8PSVKIVEaG6OsuF6ZQqyrRKiwlMl1ltZuxZ87BuWKJxGCYTHMVK6tBMa1jVoBUBpWpsN18cB8YiKbQCvgb3/1Z+v2PlDLN5+EXlqFFUFba6RaY+QsXO6Qu/HzdA5TIcORdWgbjdToqWrOMqUU2tpPUJtnJ7NTYT6tgI4xSPYRwtrLZ/8cNIXGEq2wnBqk4VncvNy9pCsme6lBUvP3t0RERERERERERERE8zwtgmPb29v4qZ/6qZn7nDx5Er/2a7+GG2+8ce75lpeX8YM/+IO4++678eY3vxn9fr92v52dHfzrf/2vcd99953Xuo/KV37lV+LTn/70kV3vHe94B/7Nv/k3jdtvuOEGvOxlLzvUNRzl/RIRERFdiFgx2a+p5FtELoJPnxtXU2bO4XR/OPMYJ8BTgxF2M+unSFmHvdzClXJfIlIEuRKtcHaYTVUQDq3zE8UkBKeUgnVSTKJywEQYK04TE5ksBiymeZWur8RXTQJAqhWsc0i0hoZ/fWRdEeKCCM6OcrSM80sWH/RKtMYeHJyMJ6aVvxYAI+fgrA942RDcqgbMjFYhPObvM4bDylPIIILchUlsGG/Iw/0p8deauN/q+1L+XYDh1iZ2D7GeMnrBm34InUQX9ZpD57CVWWj493G3FMCqrrltNDpJeF+UCl/7O+wmempK3MnVLrozKh6tCD55bvIq5clzi/KfSwnrMFhvJ1OTyk50WmhXppoZpYrPhwlr713CoTEAOLXam78TEREREREREREREVGNp0Vw7Bd/8Rdx5syZxu3XX389/st/+S+49tpr93Xee+65B7/0S7+E7/iO74C19f8i7/3vfz/+1//6X/h7f+/v7evcT2fvete7Zm5vmvhGREREdLFcyLSvC7E5yvDQ5uR/pFCuf6xjQyVkNLQO/dwW07AG1mJrlEFksiJSRIqBUFYEu5nFns2RWR+WKp/Twe9rlJqY8DQxiSz8snECV6yU1AquNJVLwjblFxFqGzEVQisPKyv/laJW/vuW1lDKB79G1iHzJ44350NPpWdktIYJ1ZQ2TBOz4oN18VzV551XJrUpqInaSwd/HV26/xiccwAMJie2OdSHxMqvKwDZ9hZGG08V71e8l71DDo2tPvM2vPBNP4Rr7nzJ1LYkvGflAk1XTvYF8f6h/OeonM0ySk0FvhKtkM74e4EstwtXUc5SDv+lWqFrTLG2VGscb6dTobEmac16LoVqyF5qcGq1h7V2erGXQkRERERERERERESXqcs+OPbkk0/iN37jNxq3G2Pwcz/3c/sOjUUve9nL8N3f/d34+Z//+cZ9fuEXfoHBseDjH/84PvnJTzZuV0rhNa95zRGuiIiIiKjZhU77Oki7ucXp/hDDhnq9oXM4O8yQ2cntg9zhC7sD9PMcIyewLk768tslTv4qHTNvftL4WGAk5RjUpCJrp8YhsdyVqxhlIgTklIKZiCKNOYTAWJhIBpkMHhWnUX6iWSvs50SgtEZLa7SNRuYEqR4HszLnijXlITw3dC5MDSvVYWL8kMahMAHc+PlVA1/lfQEfoKq7t2oMMH6/9eD9ePi+e7H32OEGxP7eL/8WVtr+b/02hzmcCPT6VVhaWweAouY0UkoBoxxDJ7DOhUrS6fuIRm5cY5pqH7ZTqK+CfHIvQ9s0/7xZJzh+AEGoPLynRilc3W3hul67+L6porJO22iYSj3mQVdD3n58GR2zv6lmbaNYT0lEREREREREREREF+yyD4791//6X5FlWeP2173udbjrrrsu6BpveMMb8Pu///v43Ofq/4XOpz71Kbz//e/HV3/1V1/QdZ4O5k0be+lLX7pQXSgRERHRYdsYZnjgzPbFXgYAHxp7eGuvcfvQOTxRUz+ZOcHZYYadLEfmBC5M1YomahMrmqr/fEWlT2W58HWMtJQDNwKBClO/jPLni7WU4UThQmFbOLfB9BSqYk5XSHKp0jmBcRhJxF+zXIWpQj2iUQqJUsghxXGuNE3MhdBYnDwW1xseBiACrXURtAMAJQKnfM1kUbWJ+nBY9fUY6amPAQKbD96PT731zQ1bD85d/+aXsXbrKSynCfbyHEu5m3yfaiRqHCZzApzPML7WgtO8qq7utnB22Pz3dwtz/nOy1k5xTbc9c8rZLNeHwFnZQVdDdozB0iVeh0lERERERERERERET0+XdXBsNBrhf/yP/9G4vdVq4c1vvvB/GZOmKf7Fv/gX+N7v/d7Gff77f//vV3xwbDQa4T3vec/MfV772tce0WqIiIiIZntoqz9/p/Mwr2qybv+/29gF4ENGmXVTQZ0n+sPaANLGMMNuQ2gMAGyp/7HU3AenfSiqjoT/cfDBGwNMBLHK+4lICHGFYBZkoiKwmMpVGmEmYTTZZO2lwDnAwgeutAis8mvU8JPKsjjJLITGcifQWqGlNXR4jnkMuwXxuZTXa+EnrsWAmIrrC3WXtnyPMjlRrO5ZVes7q9WUsYYSldcPOzS2dNNJPOs734LV570I1jlsZxmc8+9TqtXEs4m0UlPb9vNZBvxEr5bRU3WTMawmIkW9aVmiFY6108ZpYAIUFaiLUFrh6k4L1/baC1dSlrWNxvW99kSgq200blzuINEauwtOKRzYiz/NkIiIiIiIiIiIiIioyWUdHPvzP/9zbG5uNm5/xStegauvvvpArvUN3/ANeMYznoEvfOELtdv/4i/+AufOncOxY8cO5HqXoz/5kz+Z+X6srq7iG77hG45wRURERET1MucOvJ5yXtVkVbl6MnOCjWGGncxOhHmcCIZuMoxVJgCGuUVe2ewDUuLrBWvqE0Waw1BRqhQSrZAoX/uXaB1CVuP6RyuAm3GmNEwOA4BUawytg0YImGFc7ehkXAMZIz4SUlgWCkMX7xZIwg5JqA8cOYc4JC0vBYtEZOK5+Elj/rW8ss64RgkPJh7WVDE5K0gWbR5RDeWzv/+n0LvpVgDj97l17ATSlVUAQC4+/CVOSvWdk3fQMRpKAQoqvC/+MywiUBAkc5odkzARTivgeKdVPE8AWEoT9PMcuQOMVri210FaqX40WqEc7SpP+Rpah41hNrHm248vYzlt/lvZVCm0jYbWsxf+nGNLtRWRLT1ZA7k5yvDYzgBD6/DQ5uEETomIiIiIiIiIiIiILobLOjj2B3/wBzO3H+R0K2MMXvWqV+GXf/mXa7dnWYY//uM/xrd8y7cc2DUvN/NqKl/xileg3Z6ueiEiIiI6aqPz6d6bYV7VZFW5ejJzgjOD0dQEIydS1AU2qascLOopx82PPjBUzdA0THYqS7WCDdWQSaibHDoHBwWoUFfZcKwGkBpVTLFyodZSh/NYAVQRIQuTxmrWVZ54ZtS4LrM6Ya06U6ruHa6+7Sr8MvDBNQkvqnCC/X5K4vk2H7wfnzyCGkoAWHv+lyNdXa19dgDQSzQ6icGo4bPUrkwHc2GKHBDCfPM/JiE05sNa5VDYUppgN8uhoJBqYL2dYqVloBs/NZNiuBLw4bLo2m77QKodj7dbc8+zMcwYFiMiIiIiIiIiIiKip63LNjhmrcUHPvCBxu3XXHMN7rrrrgO95jd+4zc2BscAPwHtSg2OffGLX8QHP/jBmfu87nWvO6LVEBERER2t0yEEtqgYhgGAnSzHXs2UsoF1U1WCVXVb3ZztAOrTQOWKyTBtLBeBhOCYIFQ/FtepOXtIqWn4ykKtVBFKytx4Za60u4Sklo5jw0onKweMYm7IigBOkIX1KgUYKDhg6nmVB2vZmpBdDHqJUnBucnvTtLGyvFJDGcNrRxUa69506zg0Bky8h1opdBONpTCZq6mWUlW2LTYvb5JWCKExv5JEKyynCXayfOL7Xrp4aAyY/DmJUq0nQmSLqquQ7efzpw4+cGZ739ciIiIiIiIiIiIiIrpcXLbBsQceeADb283/EP+ee+4pJhMclFOnTuH666/H6dOna7d/6EMfQp7nSJLL9rGet3e/+91wrvlfMz3nOc/B8573vCNcEREREdHRyEUWrqcEAAtBFqY/OYQwVgjuxGpKJw7OzZ/2pOCngqkQiBFIkR2KNZBxv8hUvheR8bSt0j5GKVgRpFqjE2r/2gAGuUWqFQZWIbfj69rQianCFRPtfxX1iUZjZB16iUEmvn4z0Ro2TPbKrAv1gBIqJ8er9MPKfLgrE5kISEmsywwvpVoj0QrWORjlX3ZOihBZ+T5jPaYLgbipSs+a5w34iWKPHEEN5Twv+Oc/hKva6dTrWgOp0v7zZN1U1amCfz+qU9oAYCk1WEkTrKR+62ZWLfasXAsK6+0ERmmc6LRCOMxPdzu9O4BWqvgcH69Za5Pyz0nZsfb+/l5rXoVsx9Q9BSIiIiIiIiIiIiKiK8Nlm3D60Ic+NHP7S1/60kO57t133413v/vdtdt2dnbw8Y9/HC94wQsO5dqXKhHB7/zO78zch9PGiIiI6Okqd3WzqJq50v7ipAj1xGpKBaClNbJ9FCXGYE55aJdS4xpJpXyASwMT/3GFiMCpGPXyvxKtivrClgg6iZmohzRhUlXuFET715yoYh8VJo7peM3SsXHKlYhCGmon42S1GDCybnxMPM6FWss4ZawuURfvTyt/X0bros7STyWTqapKHQ+c8ahVaV8HHxr71BFNFGuy+szb8MI3/RCuufMlE8+qzIlg5PxnoO4/qEkajmuHqWHLaQorgsECta4rrRQnOq3iWL8AV0wGS43G8XY6uX0OV/m5SrXGsXaCjjFIF/wPhOZVyC56nsPWNpfGOoiIiIiIiIiIiIjoynPZBscefPDBmdvvvPPOQ7nu85///MbgGIArMjj2l3/5l3jssccat7daLbzyla88whURERERXbjbjy+jY8zc/cp1d66mDq/MimAvs0VtY+Z8WMyKYDezaIegjcW4PlBE0K5MRZJK7WLXjI/LcgcI4LSviWxphbVWCq2A1XTyL/9dqQ5SKSA1/hgNX025Ocon6h5jPWU3MeilwG5mMchtbe5K4MM+MSvknAKUoJsaSO4AEWTiijpMJwJXE1LKxU8Ty0WgamoOy7PJ4gQ3oxVSVGoX1cSgsuLY8uIFPiCWbW8h23iqmEJWVFri6Goo//5//h/YzfLiHjR8HWTvqqvRWlmDgxTT4urs1Uwai5RSU9WV3dQHslbTBIlWuLqbIncy9cQdBOutNEyHA06tdfGSa9anrjHMLf52s49Uq4nw4Kyfj7JytWmsPQX8M1i0qnJWhex+znOYeqkpniURERERERERERER0VG7bINjn/jEJxq3LS0t4ZZbbjmU695xxx0zt3/yk588lOteyt71rnfN3P71X//1WF9fP5rFEBERER2QjjFYSucHxwAfCJtVhzd0DmeH2VT1nnWCnSxHP3fo5xa5GwfC4qQtrYBc3MRrE7WSajyhy4og87mxopJSh5DQUppMhYyOt1u14ZnMOmyOcuxmduJ1FwJrsYIyDkqygonJaQ4+pJUpNxEaSrXCU4MMQ+ugwjSw4gp108TC/Y6rNEvT2qZWPaadYK+0z6Kz27YukQrKl/70r8A84xZ0Kp+XVCs4pYrPSlIKZZUJgFFNzeP4PMCgZnvSSrCV5Vhvp3hqkAFA8fnIrMNOuK6GKl5P9BI+v10/1Wut5f92c15dZPM6pwNV1/faCx07r0J20fMctlOrvYu9BCIiIiIiIiIiIiK6gl2WwbF+vz9zwtUtt9xSW8dyEE6ePDlz+6c//elDue6lant7G3/yJ38yc5/Xvva1R7QaIiIiuhLlzmG4QJ1e2cDa2tdtaSKSD+c4jBomJMVtT/aH+MTZHQAoqhHL9vIc54Z57TmcACMnyKybmMTkRJCHWsj4fQyNRUopxMxXDHTZsIMBoLWCBpBojaU0Kc4FoJhUNbAWeSYT06cyEfQzCyfAMISLHPzkqbbW0ArYyy1EgL3MFfv4/cYVgyICpZX/XSl0tMJIBHmYUCYTgbDSNDCZDIfVRX9mvduqtE/dfvn2FkYbT029vv3gh/HI2+6dcebDt3TzSdzxxh/EiTvvmpoIJgghutJn1GB6cpjft55SConCVNhMKYWlNEHbaCynCdJKmDCzDhuj8WdYa1XUT/aS2eHKeXWRi3DwPwvXddswWtWG3qqGDfu0jcb1vfbCodDD0ksNTq32sNZOL+o6iIiIiIiIiIiIiOjKdlkGxx577LHG2hUAeOYzn3lo115eXsbx48dx9uzZ2u2PPvrooV37UvSe97wHg8GgcfsNN9yAl73sZUe4Im9zcxP/5//8H3z0ox/Fpz/9aTz66KN46qmnMBgM/L+47HSwsrKC6667DjfccANuv/12PP/5z8cLX/hCtFqtI18vERER7d/GMMNDW330s/oQ2H5UJyINrcVnN/u1AZyhtTg7zIsqvdwJnhqMsJe7iRCPFcHI+nLHllFFJWQdrcM0qVDJCABJCPekRqOtNTLnxsExFUJcpYFMw9xBTLEZAGC0RtfoYjJY7gRG+/s9O8yhS/tGI+cmwlyZOIgDlMbU3qbYzwfRNPyENAc/qSpRCkr5iWT9SjguNFBOBLzi2ZUKX8u4IjLealNkqLyyWF9Zfv8ulWliAPDV//GdU6+1j59Aa2UNx9q+BtIBvqpSxD9TAXqJwcCOP2dLiamdOBYtp7rYrmsCYwCgoZBqjRuWOmhqbny8P8TxEHBKtcINy52Zn+eyWXWRNy130DLNNY393OLx/hAIU/Sq55p1fNto3LY2Oc0rVerA6ylffPXavo9pG8V6SiIiIiIiIiIiIiK6JFy2wbFZbrzxxkO9/o033tgYHDt79iz6/T56vSujcuS3f/u3Z25/9atfDX0R/qXIS1/6UjjXPIkgyzJsb2/ji1/8Ij784Q/jPe95DwBfc3rPPffg9a9/Pe65555Dm1xHREREF2ZjmOGBM9sHcq7qRKShtXhib4Tre+2pqry4rSxzMlXpaEUmJh5p1FcKFmR8XJy4VQR+ACQKsKUJY4AP8MR9BECmpmNu7dIBuRP0cwutgC/tjWAFPlRW2kdEJmsvxUew1Jy/nHNKjUNkYe1a+eCaFR8Nc4KJGkqF6dpNFf7HZ9QUIBLqNsdBMCXTYbfqnVe3bz14Pz711jfPvokj8tKf/hWs3XIKAIoAWPmzkWgdQoTig31K+Wlxyr/nuVPFc2wbPfNztZKmCwWlru210W74a3YbptnF81zday8cGptXF9kyGp2G4NdubnF61wfFmu5x1vFH4c6rVi765DIiIiIiIiIiIiIiogtxWQbHvvjFL87cfuLEiUO9/lVXXTVz+xe/+EWcOnXqUNdwKfjbv/1bPPjgg43blVJ4zWtec4QrGpsVGptld3cX73vf+/C+970Pt956K77ne74H/+Af/AMGyIiIiC4xD231931MuYay7PPbe8X0MAB4Ym/kJ23V/PXEk3sj5JVzbGfZ1H6jWPEYgkEOMSEltROzYmVlnKpbF4yqqyQcn3+SUgrtUrBMK4V+7qsGN4Z5sf+sAFbds6oTJ40B/hkb5espoZQPnoXaTX+B6YljU9cvHpWMtwsg1RFiDer+qu2R+y5uBSUArD3zNtzxxh/E6h0vDmE6/wyUmnxvHfz3qq5SsnLOmWHEBbYbrbCWJtCo/7wD489BajTWUzO1r3WCQcMcuKa6yCidsb5Zk8oWOf4wsWaSiIiIiIiIiIiIiJ4uLsvg2Llz52Zuv/rqqw/1+tdcc83M7fPW93Qxb9rYS1/60kOf/naYPve5z+H7vu/78M53vhM//dM/jZtuuuliL4mIiIjgQyv7qaes1lCWWQi+sDOu3c6sw05ukTuBFUFSmtbkBDgzmJw2JgC2R5VpY85hWAqBAYDLfL1gU+5JIIjLU0BxXSeCzAFO7EQIqBoI0kAxeWlqm/LTq5zE8zkfWAKgG6ZRxbU2zVIS+ICTiECU8nWT8f5EoJQKATsfJHMiqMm9Feeaun7p9Vg7OS80Vp07Fd+VbHvzSOspv/IXfgNAqOAM/9O96gTSFV9pOKqEqVpaV3o2BUorVGNiWmHiP2bQSmGtncA0TP9KtMJ1vXbttoF1aJvF5oalWuFEJ8VmZvGlQVbZppHqvYYjZ2tXpt2VzZtUNu/4RT3n2DJ6yf4mhrFmkoiIiIiIiIiIiIieTi7L4NjGxsbM7SsrK4d6/Xnnn7e+p4Msy/D7v//7M/d53eted0SrOVwf+tCH8KpXvQr33nsvvvZrv/ZiL4eIiOiKN7KLTcICpmsoq1xpqlZmHTZGefF9NZMiNcmn6mtOBHvWTYbGRHzt4IzpSOXTxOs6EVjx35cnhwE+JDZvmlTUTXSRubKl9FV7TsWfAWqnrorUT00rK59ZIBCoqXFZqhgtNq2uelLCeaemq5V+19rXWzoAJpw+3zgzZ7UH5wU/9UtYvvkkACB+TE3N5LCyavgp0QoKamrCXMdMBpy6iYaBagxPXdOdrloFfN3quWGGG5c7C1VODp3DU4PpqXoAcKx9/n87eX1DqA3A1FS//R6/qGPthCEwIiIiIiIiIiIiIrqiXZbBsc3NzZnbl5eXD/X6885/JQTH/vf//t8zJ6utra3h5S9/+RGu6HDt7u7in//zf46f/MmfxOtf//qLvRx85CMfuaDjH3vssQNaCRERXely5zDcR5DrIAzs/GljsZayWkNZlTmBDSGVGBpzRd0ikIXQlz/nuLYvhqecCEZuvJ5BPllRGY8zlXxOeXsMmUkIiYn49dswFUzETzuLIa7U6OLasxjlp1nlcdKYCJzzISaj/bWqU9B8faTAaD8xbLy28Dv8WsrTwOrWYYuqRX//dUudNYGs/LjKsZ7ams+wvwIw2tzEcOOp4jwCYHD68P+6p3fTSTzrDW/B2vNeVEx3K090a3qvlJoMiPnpcAAwnhCnlfLTwdT4+26iYRrCaKnWON5OG4OBZ4c5UqMXCo35/adDY6nWONZOpsJsi2gbjet7bSyl+z/2II6PeqlhaIyIiIiIiIiIiIiIrniXZXCs3+/P3N7r9Q71+vPOv7d3fnUtl5N3vetdM7e/4hWvQLt94VMA9ssYg+c85zl41rOehWc/+9m45ZZbsLq6ipWVFXS7XWxvb2NjYwNnz57Fgw8+iL/6q7/Cpz71KbgZ/0I5cs7hX/2rf4Vut4tXvOIVR3A3zb75m7/5go7v9Xo4derUAa2GiIiuRBvDDA9t9fdVGXkUyrWU1RrKOtYJzg4zWBHs5a4I8bSNxud3BhOhHieCfqnGshygaqLVOMAlyl8vntOFSkfEAFA4Z7G2EBLSYQJVy2hYJxjmFq0QJCrrGjN+zQmGTrCXWwC2CIj1jIHRCv3MIiutZeKZCCDiYFGun6wPbYVNBQUgxoyUALq0UZWGjjk0PzsTxovF7Qr1X0epArYeuB+fedu96D96OJWUz37DW7B+x4v99ULYKAYS28eugllehYtJNQUkqn5aW1VS2WW1lWCtlSBRCrkINASr7bQIiWmFicDXtb020tLEMaMUnih6mtMAAQAASURBVLnSRashNGadryq9eaW7UEWjDdWmZUapqQlqNy535k6wA4BUTU9Iq6uL7Of1f67UHX++Tq0e7t8zEhERERERERERERFdDi7L4Fie5zO3J8nh3laapjO3Z1l9lcvTxRNPPIG/+Iu/mLnPa1/72iNajQ9Bfd3XfR2+9mu/Fl/zNV+D9fX1hY77pm/6JgDAmTNn8I53vAO/8Ru/MXeanXMO//Jf/kvcdttteO5zn3uhSyciIrqoznda2OYow0Obs4P8F0O1ljLWUAomKynL8jCZbDfzf32plUKqNYZ2enJYJoKhdRCgmFJWNa6oVNAaRQDKOoe8GtKaGSxSSLWfNJVoP5UqXlMrhVSpIphknV+TD6kp5OLrBeO+/neNpdTXW+4NsplT2Mr3UhcaK0/4CpvHx4TfNcaTwiTcqpS2x8dXDZ3FiWuVR+GvV3OMBrD78Q/jY29989z7OR9LN5/El73hLTj2/LuK19rGV3/GOsVypSjgg29NobH4THUIQMVn5D93/v1uGe1fF8BoPRkIrOgkfnKYX4P/NesnOjUKt612kS44KSx3Ult3WbWcmMZAV5z+B/ifoazyZ06r5jitfB3rYeilBqdWe1hrz/57OiIiIiIiIiIiIiKiK8FlGRybF8w67ODYvPPPC7Zd7n73d38XdkZF1HOf+1w873nPO/R1nDx5Ev/4H/9jvPrVr76getKrrroK3/u934s3vOEN+A//4T/gne9858z9h8Mhvvd7vxd/8Ad/gFardd7XJSIiulgu1WlhF+p0f1h8fdNyB7u5xeN7Q+SzwnGCMJVrHIQaWothqaYxBnli+EUBUyEZJ4Lc+QlipaFfcAASraC1Rgv+e+scEl1TFBhyMjFAVQ4fWYkhIR8y6iQau5nF0I6npIkCTE39oAqBMgWF3cxiN7eoeyQmBLSu6aZYSROcGYyQiWAvc37CGiarKROlMI7mKVgZP58YOIthsRgGU6ifXBaDaOX94iNJQ5osj1cqTSNLtcJHf+3nas64P3f8yL9H57pnwIVrKqXQOnYV0pU1ACiel4L/HKRaFZO+Rk4QY1gxAFbV0hoj5yBQU+9QfJtzAfZyh41SNWSiVWNoLDUaV3dbODfIis/mLCNr8eQgwzCfHxrcj7bRtaGx8vS/Wceeb0Ds9uPL+67KbBvFekoiIiIiIiIiIiIiopLLMjg2L5hl9vkvEPZr3vmf7hPH3v3ud8/cfhTTxl70ohfhj/7ojw70nEtLS3jrW9+Kl7zkJfjxH//xmZWoDz/8MO677z686U1vOtA1EBERHbaNYYYHzmxf7GUcuFxkIqCSi+CJ/hAiPnzTpJiQFdI5TgQDOxl00QhBJhG0tJ6aHJY7hzyM1Yqho7KWnpwappWCUZiq+5u1RqNQhMbaRhWhsfLaDaYrBKNU+/o/X7FZHzJSYe1tY7DSSrA5ypHlNlRMKhiUJ6rFgJuPfIkIpFS5KXGHmkupyteCeG/TobLiOSkF7QQWlcrL7U3sHkA9Zee6Z6Bz80l/TTRPDCt/lLTy960wDnelevo9SLVCFt73WdpaoZtMhpqW0+a/7+gZg8d3h0i1npgKVhfG2s0tHt0ZVk9xIK7vTdfTV6f/7efYRXWMwdKM50NERERERERERERERPNdlsGxeRO/3ALVOxdi1rQt4PAnnl1Mf/3Xf42HH364cXur1cIrX/nKQ1/HYU76esUrXoGlpSW86U1vmvlZuu+++/Ct3/qtWFlZObS1NPnN3/zNCzr+sccew9vf/vYDWg0REV0M51szebmExsr1dosYVsJeXxqMFjrOiUAgEPGhqL3SBK8o1woaCi2jMbJuKgzV9DbEyWExuJbL5LZFKKXQ0goj66CVwlJisGcdRtaNqyRL92IrizNQ6GiNvdxBIMhdnADmZ4GV97bir+ecD+ENrPNT0yr3J2Hily6N/pIwXkwqtZZx4lgR9Krce3FqNZ5Shsr2+NJgexOjs08V2zSAwRcern1u+2XWrxqH4kIgrKyYAoe4TYXPznh7UgmNKaXQ1grDOZ9jpRS6RmMpNTDh+EQrLKemtiYyNRrH2ynODjL0kprtNQG18jS+g9I2Gtf32rXhrXnXm3UsEREREREREREREREdncsy4ZSm6czth10VOe/889Z3OXvXu941c/vXf/3XY319/WgWc4i+7uu+Dj/8wz+Mn/mZn2ncZ3d3F7/1W7+F7/iO7zjClXkvetGLLuj4Xq93QCshIqKj9nStmYwWqbebJ9Fqdj1lkDkfjMqdD6k5kakAGgDoENrqGA2VaKC0NhHBCCiqCmNILE7vipOrfDhNiolU5YlQS2n9X5LrcCInQB85llMDpRRGI4uhc6F+MlRiimBQmdcVJ4X1c4vc+ZCTFcHIutq6SBuueW6UYc/6iWblcJqIwIbvXbhuTIGJjAN05Scfd4nXqw4hU6VfkOkBZVaAjb/5K3zmvnvRf+zCJ4vVWbr5JHprvpIyBvWqygWT7VRjxSRYbft3XddMj9NQON5pwSiFJ/amQ1QnOv4/gjCh2rJ8vFEKTUPyTAgx+mDl9LtYVxtZncY3z43LHbTn1EemShXXec6xZfSScQAsd25qal/TsUREREREREREREREdHFdlsGxeRO9Drsq8koNju3u7uKP//iPZ+7zute97ohWc/i+/du/He9973vx0Y9+tHGf3/u937sowTEiIroyPV1rJqNF6+3mubrTmjvxKHMOG8McLaMmJps11Qm2jfbbZHKfXGSq1rC8PSkFq2JAqDgXgKXEzA3RKPhraKUwCqEcEUDrGNiS2opEwAfKyvcXQ19N0rCWuM9EaKx8j+WDxE9s26+42nG9p4zjWSFEtvHg/fj4W9+8/5Pvwx1v/EEkYbJX03MsW09TnOimtdPAyo63U1gRbGeTU7Wu7bXRnnPsPHEqXvWzU1f9mO9jch8ALC/wmSw71k6K5wcAuxmmqjIPQ9swfEZEREREREREREREdKEuy+DYvGlJ/X7/UK+/u7s7c3u32z3U618s733ve2c+2xtuuAF33333Ea7o8H3f930fvv3bv71x+9/+7d/i4Ycfxi233HJkayIioivXQ1uH+9c4F9uF1um1jcY13RZyEfRzi8zVTxADgI1RDusEg3z25DYVzmtmhInKtYaifIWhrkxVSrUuAl5+SphDSxvkTmYGewQ++DNyDnuZxU5u4cJ0NCsK1kmxtnLFpg19kplzE1O8MidF1WT1PlMNiHPIwrly5wNquchk2EyV6itl8nx1d1Kuc0Tlaw0g29lCtnHGn6t0jAIONTTWu+kknvfGH8Dx598FKz7kNys0pkJV6PFO6qd+zXjfEq2m6lZjxeS80JgLk90atwMY5g4agHW+nrRlNK7rtmG0mpr2VTeZrEl1Ytm8ytheYjC0gqEd/xwN7OFPQ+ylZiKsRkRERERERERERERE5+eyDI6thSqZJvOCXRdq3vmfDlWNdebVVL7mNa+Bfpr9C5y7774bt99+Oz7xiU807vNXf/VXDI4REdGhy5y7LOopb1vrYa21/+mr8+rt5hlZh8/v7OFDX9rEILM4O8xgRbBbembdxE/6Egh2RhYiAqfG05EcZKKGMtZNLrcSpCFQ1DEau2Eff/68CNYkWqOTaCwbUwSQnAiGzkEg0KIwtK6ojUSY4ZVoNRGqamkNUcAwVEw68cGgGHITCFKtoQXQIeTTTgxEBHu5xcBKEcJyDQGkqRCXAobh1rU4aOtrIpuCYAJMTBkrn6/8V4PlwVW6tLMCsPHAh/GZ+34O/UcPp4Iyevb3/xRWbj45EYjqHLsK3bVj6CYaSSks1k1MbXhMK6BnNHppgkXmXB1r+5+BVCvcdfUaltP685b1sxyP90eNobGhczg3zJCFTtBruuO6S5ELD14C44lli1bG3rLSxYe/tHnB192vU6usXSciIiIiIiIiIiIiOghPy+DY1tbWoV5/3vnnre9y9NBDD+EjH/lI43alFF7zmtcc4YqOzj333DMzOPaxj30Mr3/9649wRUREdCUa2fPoAjxCvdTg1GoPa+3zq+yeV283a/JRP7P4u81dfGlvBMBPyKqTKAWlFGyom3QADEpTpio1lCI+tCXiKwGX0gQawJ5142llpWMSBbSUQmI0tPJrHmY+eOME2MvdRChIKTUx5UoBaBkNBaCfW79OrdEKQSsXajGNUQiXLpJduXUY2snwXd1UMQdMB5/KE8SK510fGqs51AfCfNOkP3+4p1jQGO9ZqXFA7twD9+NjP/HdC1zhwh17wZejs7KGJNRQKuU/C1qp4vco0Wpqulyi/aQxpRSSORWOdVPFrmqnU9WP1c/zbmbx6M6g8bxD63B2mAHw4bbj7RTtA6yDbBuN63ttLKVmocrY8v5H6UL/nCEiIiIiIiIiIiIiokmXZXDs+PHjM7d/6UtfOtTrzzv/sWPHDvX6F8O8aWN33303nvGMZxzRao7WPffcg1/91V9t3P7www8f3WKIiIgO2Yuv3n8Avm3UodXGLTL56HR/iCf3hjMrH7XywaWomxjEQkQTXvbZvLwI9cSzGaUgAHayHEth4lQMaCmtkIZQkNFqopYxrvnqbht7NsdSKeui1fSUrtV2C0YBGyEg5Nfk6zZH8d5EMLKCXEKwLdyFgQ/MSThX3XCrGAarPiWRSpis5jHWPdl4HV0OjQEwCsUzgfgJaQivK6WQao3P3vdzNWc8eL2bTmJpbR0trdFNpitHl1KDqzqt4vtruu3x2uHf0zS8r27G5yvuqyuxvGr1Y93n+ablDp7Ymz0tLAa1TCXoNstNyx20FgiXpUrh+SdW0DE+BPY3T23itrXmiV5ppYb1fNx+fLm43qIO888ZIiIiIiIiIiIiIqIr1WUZHLv++utnbn/qqacO9frzzv90C1DleY7f//3fn7nPa1/72iNazdF71rOeNXP7F77whSNaCRER0eG686qVI58gNMsik49sqIKcFRoDMBVSMQqQEPIZB3F8xClOgqoL6JhSAE0rNdHX2NK+CjPuI2GftlHInEYy59G2tZ+IFid2xdBY3aQ1EYGtfF/ey08XG6fTJKTDVM0ksboJZPPGjany7wJAKWhICI/5yWJ+qptAh5JKHe9rewM7h1xPGT3rDW8Ja0Ft6OpYuzUxuauXaKSVcJINk+eqry8iVj8CzZ9nHaomz+f8s7SMnjnFr6xjDJZSg8w5OJk9/e8gxOsREREREREREREREdHFdVkGx2688caZ2w87yPPYY481bjt+/Dh6veb/Qv9y9Gd/9mczp6ytra3h5S9/+RGu6Gitr69Daw3n6iedHHY1KhER0WG71Orf4sSvz2/vIWv4/79R5gSZbd5HKx9SmVcxCPiJXXvWwrnJ3NTIOsQBURoKg9wWdZgqvNZKfNDGifjJZaVA2ZxMW2mtCrnzQTEnvgozcw7V5k0XQ2Nhg8BP+4r7iQKsA5QqHRi+dOFXVPdUGpo+a8V9VZwrJvDpNCi4mhM5EYzOnVn8Auepd9NJPPs734L1O+6q3a6VQjfRE9PFAExNJAP8mvc7YattNK7ptGC0KqbTPdLweZ71+b0Q6YKTyQA/zQs4ukrceD0iIiIiIiIiIiIiIrq4npbBsUceeeTQrr2zs4OzZ882bp+3tsvRvJrKV7ziFWi32zP3uZxprbG+vt74vg8GgyNeERERUb3Lvf6tXONnRfCF3cn/H3ui05oK+gACoxSO1YTenAg254RnrBPs2hx71mGUO/St89O5wtgtoxU2Si2Cu4lFXIJ/an6q12gi/JMvXCdYvo+NUYaRdehnFnu5xcA6lHM85WpK56QIgEnpd4Vx9aSScWWlAyYmlKFybKQqX8+LETmgeB6I08xCjWZ8Bm2tivBVO9HoH+A0qxf9v/+t+ForP+msffwEOqvjytWW0egkBktpgvV2grRUKXltr1VM+mppjZM1FY1aLR7+A4BRbvHkIMOjpc+vheALO9N/zZjq6QlnB6FakTlLLzVH+mfAUV+PiIiIiIiIiIiIiIiaXZbBsaWlJdx4442Nk78+97nPQUSKGqGD9NnPfnbm9i/7si878GteTGfOnMGf/dmfzdznda973RGt5uKR/YzeICIiukgu5/q3zVE2UeNXN60q1ao2ZNM0TSyfMchJK4WRddjO8mLCl5/u5QNZGj511TFmIoCTVOoO69Y5fa3Z23MnPuBVSidVz1qupoxrjPup0u/lS2kFQCmIk9rQWJUq/Yonbbo7VT1GhaAdfOhehbpOEyo30xAWM0qP02wX6I6f/CUsPfO24nuDeM3JmlGjFJLweltPBqrKwa1nrnRrKxpPrfXwmc3+QmvazXI8ujucet01JM+OH9KUv3JF5jynVo92WvJRX4+IiIiIiIiIiIiIiJpdlsExAHje857XGBzb3d3Fww8/jFtvvfXAr/vggw/O3P7c5z73wK95Mf3u7/4u8jxv3P7c5z4Xt99++xGu6Og557C5udm4vdPpHOFqiIjo6SB3DsN9VsIN7CLRn0tf071/8tzORI1ftsCIpxj2ysuBKxmHuaxIbbBLhWP7ucUwTAqL14srUEoh1T5sVHfdyGL6Gi4uBD7A5JsrBXU5NqMUnPhg0QgOTvxarEhxHICJe4xTx6qTxlB6LU4egwia/0purBo6K+5jgeP8hcN4s/DMdQjY7W1tINs4Ax3Wtqc1+o83174vonvTrbjtO96C9TtePLEOrRU0JkNjSqm5/zFJ22hc32tPhS5jhWvddKxYp1r1yM6gto4yr3xGUq1xvJ2i3TB9zUFg9zPmLGgZjeu67YmKzCa9xODW1S4SrbGb+T9fDvPPmUutEpeIiIiIiIiIiIiIiC7z4Nj73ve+xu0f+9jHDiU49sADD8zc/rznPe/Ar3kxvfvd7565/UqYNraxsQFX8y8Ao9XV1SNcDRERXc42hhke2uqjnz09QmD7MevecxF84uwOTvenJzXVGeQW50Y5MudgneDcMIMVwV7uaoNi3cRgvZ3AhADReivBuWGOofWVmFCA5A5aaVhxgKqfLJaXQlHl16cCRLlFJzHQ8OfZHvnoVjm+ZMM0r63hCFuZ3z8p7aDgg2siFlZQTMkSf1FohaLGshoaQ+X7GAqLg7bicnXYWJ0elmgFCJCVzli+RR2eT6L9VDcbnkmso9QAth64H5/81Z/F7qOfw/l4zg//O3Suu7EIr+mwttaxE0hXVov3Mkq0qq0H7RqN9XYKo4D1dornX7WC9VJw6a6rV7Hamg4ylStcd0uf2XKdatlNy51iil2dRKliCphR9WsFgKFzODvMkFXOU1/T6l3bbfv6R6UWrqdMw/v10IKT1Mou90pcIiIiIiIiIiIiIiIau2yDY1/xFV8xc/tf/uVf4lWvetWBX/eDH/xg47alpSXccccdB37Ni+Vv/uZv8JnPfKZxe6vVwitf+cojXNHF8Xd/93czt99www1HtBIiIrqcbQwzPHBm+2Iv46KYd+9NE8OqMucwsA5P7Y3Gx4qfzrVbE0iTMLXLiYsDwLDWNlBKMModrDgfjZJq5WJ1fQ6jsEat1USFtT9/db2+GjFRCiPn0IaeCI3lAvSzHA5+wpNRvhqzPEEsTu6qTp2Kk8b8ZK3JDeU9Y92kAqCkUmWpSvtUjlG+Y9If6wROEEJa47ObEFDy09Scr8MEkBp/n2cfuB8f+fHvmnqO+9G57kb0bjpZBMeMqn9vgHGorvw+GK2wlBistnxozCiFa7stnOi2JkJnvaQ+ADW0gmGYvrWT5RhYh35u8fntvdr9BT5AV1eluqihc3iiITzZMXoqbNY0Ke2wXc6VuERERERERERERERENOmyDY7deeedWF5exs7OTu32D3zgAxCRudU0+/GZz3wGp0+fbtz+FV/xFUiSy/aRTnnXu941c/vLX/5yrK2tHdFqLp4PfOADM7fffPPNR7QSIiK6nD20tf/JPk8Xi9z7ILc4N8wmQmRVAmA7y4t9VltJEdBaLgVZcicYWIdcBEPrw2axHvOx3emayhjIcZVA2MgJRs7XRxahLrFT065U5et4vu0sB5TCkkyGvHxQTGFgcwytYOT8tLT4160iAouGAF158lfpWlCT+6dGw7nJustiXxFoxErNauWlAM5vi2/FxDpCqCw+HxsqODWAUUh5ffpXf3Z63fukABgNGACJ1mhpBQUFB8A6h16awCigawyqQ7a01khKk9R0CLrt5g4Pb42DX22j0WmoigSA3SzH6f6o+Jyc3htOTQIru5DQGOCnpsWpZGUto3FytTd5rX1MFyMiIiIiIiIiIiIiImpy2faFGGPwVV/1VY3bn3jiCdx///0Hes0//MM/nLn9a77maw70ehfT3t4e3vve987c57Wvfe0Rrebiev/73z9z+5133nlEKyEiostV5twVWU8JLHbvu5nFlwazQ2NAqIss7ZMoBRWmXelQ/+cEGIQKyqF1yJygNSMcVEdEfA2mSO0kLxWuW/crDWGkOO2srRV0mHgVfzkBRuKwlzvkTlB71w1T16piUM1PEvPTwrRScM7/BxRq/HJxb7pygrhdh6leqnR9XTovlIIJ17NOJiavRdn2JvrnWU9ZpaFglIZGrHf0628bjbZWaGmNbqLRTczEr7ZWRR1kDMstpwmOtycrKetCWtFuluPh7UERGrOQmaGxC2UhcM5PLKv+euZyF53wuYq/GBojIiIiIiIiIiIiIqKDcFmPx3rFK16B973vfY3b3/Wud+ElL3nJgVzLWovf+73fa9yeJAn+/t//+wdyrUvB+973vsZpbgDwjGc8A3ffffcRruji+OAHP4hPfOITM/c5qM8YERE9fY3sYiGgC9U2l06YJHd+ylc/txjMCdw8vL2Lvcwic7P3G2RuYp+REzgJAS8AAsFOZmGdw551yERgQsjJqek6zFjf6Irj47SvcbfjIu9cnHKbaoV2CKmJCBLlJ2RlVuBCWstoPzFrZB3yOM1MANGYqsCcec3wuw+3+e+c+HxXLn6qGSROHAuVmhBfLylSTFGbvo7v7XTl64j4CWAhvOWsK01gG59HQZCffWqBJzZf69iJ4msfalPInCDVk4GweRKtcKyd4tpuG22j4URgtMJ13TaUAjZHee1xn6tMycvmhBovlHMyNcnuYlVRznMp/TlDREREREREREREREQX5rIOjn3t134tVldXsbW1Vbv9Pe95D97ylrfgxIkTtdv343/+z/+JL3zhC43b77nnHhw/fvyCr3Op+O3f/u2Z21/96ldDX2Adz+Xg53/+52duv/XWW3Hq1KkjWg0REVGzXmqQXAL/v3ljmOGhrX4xZWxgHR7arK+q3MxyfH5rD0/uDeeGy9pGwzlgz/rzaqVgVAYAsOKrLkfOYiezEPF1lX5PwbBUAxlJqFgsh3XGFZF+0pYB0E4UrPN1iQrATcudYoJZ7gT93EEwDv1YcRhZQS6+5jL2QWqritDWdmaxk+VFVaTDggPGYnUkxoGtuHpV2SdujBPHNHzlocAHGctPWyt/rzEPlGqNvCbEp8JEsixcRKlwjBtPNDuImVy9m27F0vo6WlqhmxqspiluXeng7CAP61O4uuenh9203CvCelWpVmhrDa0V+lmOx/sjAP4z+eEzW4c6QazJjcud2vVqNa4GBS7dKspL5c8ZIiIiIiIiIiIiIiI6GJf1P/VvtVp4/etf37h9NBrhF37hFy74OlmWzQ0Q/ZN/8k8u+DqXis9//vP467/+68btSim85jWvOcIVXRzveMc78JGPfGTmPq985SuPaDVERESznVrtXewlYGOY4YEz2wvVcm5mOT6zsYuBXazCUwHQpWlTS6kJQSwfGrMiGFmBwnTYphoai2r/QriS4NLQ0Eoh0cByarDWSrDaStA1GlYEbaPQMRqp9leO0+XiOrVSMBhPyMpDDebcdRTrwTgMpjAxDaz8bKbOF8JisUKzCLY5mbhFHX6lWiE1BqkxSIxGYszULxMDQ7ESMyxIivRaqRPzAjznO3+gqPVcTVNc3W1hpZVgqWWw1DK4abWLtVYLa60Wblhq45puq/bXsXaKXmpgncPp/ggCIBPBE/3hgYfGqtPCmiwnZqp2smM0nnts+bKoorwU/pwhIiIiIiIiIiIiIqKDc1lPHAOAb/u2b8Pb3/52ZFlWu/23f/u38Y/+0T/Ci1/84vO+xq/92q/hc5/7XOP2Zz/72fiar/ma8z4/APzIj/wIfud3fqdx+6tf/Wr8u3/37y7oGot617veNVGVVHX33XfjGc94xpGspco5dySTzv78z/8cP/MzPzNzn263i2/5lm859LUQERHN0ksNTq32sNZOj+yasYay6uNndzCwvjoyD+OTMutqKygf2erDicBKaUhWqFas4+ArJbVS6Ca6COrshQDQqCEIVBe/8ZOyFOY1iCqlQgBLoWsMEj0OgO3k04G3fu5rMiWsNbcWAl/vGA1yByul6VIKTZ2RxX0rACrUUFbXXHd/EvYX5esjY5jOunEtZ/nYuL5xZef80JICkG1vYu/sU3AYh9/2Hn9s7rFNlm46iS/7zrfgqjtfAq0UVlo+NJaGBaZG43g7RTv8tWC79DmY5XSYNAYAZ4f1f89wIVKtJ6ozHQS2ptqyZTQyEWSlN7GXGNy62m2cmnapuBh/zhARERERERERERER0eG77INj1157Lb75m78Z73jHO2q3W2vx/d///fit3/otXHvttfs+/wc/+EH80i/90sx9vud7vmff571UOefwu7/7uzP3ed3rXnc0i6nxYz/2Y7jlllvwrd/6rej1DmfiwXvf+1782I/9GOycCSjf+q3f+rSqJyUioovr9uPL6Bizr2PaRh1pbVy1hrIsd4KPnd3G2WE2d5pT7gRnBj7A48NjMbA0W6IU2un4fmNAqxw4S3SYgiUWEP99avRUpaOvbKysU6miB9IoP0msawyM8hPE4vvjQhUmANgQZhvlDv3c+sCYCIbWwTq/LdZwWgDiZKJNsi6rH+sljVJhLf7VGOwqAl+V46rfK4n1kxKqLQWuUnGJUJFoy69ZNxGEqjr3sb/G5952L/qPNv+HFbM8/0f/PbrX34hUK7S0hlJA9/gJrB87Dq01NID1doobl9pFoOqZK118cXc4cZ7re+2518qdfy8AwEIOpZ7yeAhTHe+k2BhmE8Gwsuu6k+tNlX9Pm6pcq87nz4iDcNR/zhARERERERERERER0dG57INjAPDmN78Z73nPe3Du3Lna7adPn8Y/+2f/DL/2a7+2r0lZH/jAB/Dd3/3dyPO8cZ+XvexlePnLX77vNV+q3v/+9+Pxxx9v3L62tnZR73dzcxP33nsvfv3Xfx3f/P9n79+jLUvr+uD3+3ueOddae+1duy5d1U01dNNNF9B2EwVEOXDggIrvGWqMITrMZeToGeeVI0eJQZN4SURQIEISeTG0BoLG6PASk5dozDDxvDkGfYkiCBq5CCoF3dBSfauqXbv2XnvNy/P8zh/P88w157rs+66qrv5+xqjea8015zMva5eWw+/4ff/W38K3fuu3Htr0s9FohHe84x0LQ4htT3/60/Fd3/Vdh3JeIiIiABhYi+X82odCdivVUC6yXtV4dFQs/LytPY3JQVHGoNJ2YSUDYDq7onMCZ2kFawwkhrqyOeum6WXT24AwaSwz4c9Kz6ByikGcONY+r1PFZuUwsAZbMXDuNdZVagh+iQhUFU3UTtK1zwblTOvzVCGpEuaFNZPHMBX8iq8NADEySaKJwKJd0zmJq808jT20Il78+EfxyTf9vd0fMMfK7Xdg5c5nITeC5cw217iUhWd8sp/jtmG/mSwGoPNd9TODs8M+lrOd/77UrWSenzMF7CByEyegWYPCezyxVcKIIJ/6Re3beL0H/Pt9o//PCCIiIiIiIiIiIiIievK5KYJjx48fxxve8AZ83/d938J9zp8/j7/xN/4GfuAHfgB//a//9W3rDjc2NvDud78bP/uzPws/p1opWV5expve9KaDXPoN533ve9+2n3/jN34jer3eNbqaxdbW1vDud78b73nPe/CVX/mV+Nqv/Vq84hWvwJ133rnntS5duoRf+qVfwi/+4i9ibW1tx/3zPMc73vEOLC0t7ePKiYiInpzOr28/FemRqdCYarcWsa1WbT4r6vn/1tI4JQsIQaHlzGI5y6AKOPXhJwBrBOLDZK1UyWgknNtryEQ1FYyq6GUGAkHfWEAUIoDGS/Aa6yZVsZQZrPZynOzlWCsrOPWonGK9EJwYZLhtKcelrRpZLhBRDGyGzcrjUllhEKdkpYrOWifTwBQhBJZI+o9OnpsAyKxgyRrU6ifXJ0DtgBLd6WJNNKwVjBIotLUuZDKxrH0tIXQmsEbQi8G4vrUYZrYJrLXP8wfv/Rdzv6+9WM4tjvUyHMsznOiH/3MkM4IX3rKK5V42t37yOceH6FuD3MjCesp5E7lGrUrR4hCnjT3n+DJMq4P0i5tj3L48mNkvl/BsiYiIiIiIiIiIiIiIbkQ3RXAMAL7hG74Bf/AHf4B//+///cJ91tbW8EM/9EP4qZ/6KXzDN3wDXvCCF+D222/HYDDAxsYGPvvZz+JDH/oQfuu3fgtXry6eqJH82I/9GJ75zGce5m1cV5cvX8Z//+//fdt9vvmbv/kaXc3uqCo+9KEP4UMf+hDe8pa34MSJE/iSL/kSfMmXfAme/exn4/jx41hdXcWxY8ewtLSEjY0NXLlyBZcuXcInPvEJfPjDH8anP/3pHWspExHBm9/8Zjz/+c8/2hsjIiK6gVTez62nTGrVpvaxch4btWuqHBetN14Q4glVj5OpXl4VpffwHngi1mCmisrYKtnQ1sSw1lY4N6loLL0L9ZHiUeuc6VsAciOoPFB74AubY1wpazgNQTYrJY6NM1R+cs+5CdPSFJMKy1DBGc7ZfnKKSXgsBbjStbX3gVd49SG4pRq6K3WyVlpnHpM+a40ms6rNmDPfumlp/UkNi4X3cNXs6sWVy7j6+f3VU7YJgMqHO9iMv1cn+jkuFhXWF/ye9a1pAnmLLJrI1T5uehrYftx1bAnD1nlqVdy21N/x+oiIiIiIiIiIiIiIiG40N01wDADe8IY34OGHH8bv//7vb7vfww8/jPe85z0HOtd3f/d346/+1b96oDVuNL/xG7+BqqoWfn7ffffhvvvuu4ZXtHdra2v44Ac/iA9+8IOHvra1Fj/6oz+KV7/61Ye+NhER0Y2m9h5FTBKNarcw6AVMJjlVzmOtXFzxPY+qQuI0LK/aCZyFgBjQMwalcyj9pJrSzQmmpZxUWtO2Jo81+4jAqTahsWZaV6yubKZZiWK9rFA6jyrenwiQGRPP7+HiRDErBl612d5cuw/bpgevpbd+6n0zHAytqWAx7CXxU2nts23xYis0ZqDNs/Th1pp7t5KmtYVzeVWoCurRVRSXnugsefXzn93ujLtmTpxCL04OsyIYZhYGKUw2//fMecV4wWdJe7pYe1v63a22mSS8G/MqJ4e5xdlhH+evbD+R7zD0LSeXERERERERERERERHR4bqpgmO9Xg8//dM/je/8zu/Ehz70oSM7z3d8x3fge77ne45s/evlP/7H/7jt5zfatLFr6cSJE/iJn/gJvOxlL7vel0JERHSk1ooK59dHnQljY+d3FYzZmBPcaVuNNYRF7bFe1qi8dqaDpQldADDMM2SSwk4eTgW9uG/lPNRIE8xKBKHysE1EAFUYE4oscyOovSI3Bn0b4lhVK1mWAltFrXFq2OQzp8C49qh9CLg5AFBFqR6IE9Da15IO9a1t7T8emLn+dPUGk9AY0lrSPa6VDWtYAZYygYEgNwau9YxK8ai8IovPwrSevSJM47r8sY/gT//1vzi0kNi0k3fdg6efORPqO2OI72o1CRvOq3XMjUFutna1/vTUr9387t6xMkAvHnfvyeWZuksA6BlBNjWtrG/Dts1tpvEdlmFuZ85PRERERERERERERER0UDdVcAwAlpaW8LM/+7N461vfil/5lV851LV7vR7e+MY34lu+5VsOdd0bwSc+8Ql8+tOfXvh5v9/HN37jN17DK7pxfO3Xfi3e8IY34Lbbbrvel0JERHSk1ooKH7+4c133PG5qWtg8VgSZEYyhTVirnxlUTpHiTSnMlBtAICicQ9+aEKKSSWAqtDdKJzhlpRuGct7Dxf1MXNuKwEuatCUhSCXdsJKqNrWXzVrzbiiGxUR1ZvqXANCpsWDS/Adzx4WljzIBvAgMFBbhdfvaFjEAMhFkYprqzCwGohShUjEzMvOckksf+wg+/MPftXD9w/CS7/nHUADj2iHL7dzrmHayf7T/J0uvVYN5qt+bW3d5vZ1bHV7vSyAiIiIiIiIiIiIiopvQTRccA4A8z/GmN70JX/VVX4U3v/nN+MIXvnDgNV/84hfjjW98I+65555DuMIbz/ve975tP3/Vq16F48ePX6OrWexZz3oWfu/3fg/j8fjIz/XiF78Y3/3d340Xv/jFR34uIiJ6cmnXOO7G2B39RKLDcH598WSm6elb0+9HtWvqGhflxwoXJoddiXWWeaze8zGA5TvrA149etZ0wmE6NdkLCBWSKRjWuebWMWjqMKU5Zjrols6fBn1pPLZ9nxoDWU2pos5mwBSAl9nPtPnPZP3mHuJ7gzDZTFTD1LGp5zJ9nnZ1ZVhDAVVUGqarNfu21pA5axoRfOpf/4u55zkMp+8+h6/63h/G8ee9EBsLJnRNf3+5MTjZz+ZOAJv+/QNCNeh0nWW5TcXqPLX32Fzc3D7XUf79HuYW51aHON7Pj+wcRERERERERERERET01HVTBseSV7ziFXjJS16C//yf/zN+4Rd+YduJWvMYY/Cyl70M3/7t335TVxQWRYHf/M3f3HafG6Wm8h/+w3+I7/me78Gf/Mmf4EMf+hA++tGP4k//9E+xtrZ2KOvfddddeNWrXoVXv/rVOHfu3KGsSUREN495NY43i8r7ufe1WdV4aGOMhzfHzX4blZsJXfWMwUblFoaclvLwz04fQ1y5FVROm/3nzZ3yGioCB5mFiTWYHiGAlg4QCZPJZo+NE9DiVLIm5+c9rDFNUMurotZusCod6xEmqbVv1UDhXQq6dc+pC96klwaTKsxUOdmWrikFyLxMjmuvJTrZLgjT0yZrCPp5qARdzrPmWA9gvagwcm5mwpoAcBtXDqWe8q/8o7fitmedaypIV3KLp99+O5ZWT4TrUDSBrxO9vKmmzI3gacN+s44VmTuNbFw7XC5rVL779PZSZznPZu1wYVRg7PxM3eVhuO/UytwA3HZSFSYREREREREREREREdFRuamDY0Col/zmb/5mfPM3fzMeeugh/O7v/i4+8YlP4DOf+QweffRRbG5uoixLLC0tYWVlBc94xjNw7tw5vPCFL8TLX/5ynDp16ppc59ve9ja87W1vuybnmtbv9/HhD3/4upx7P3q9Hr7iK74CX/EVX9Fse+SRR/CpT30K58+fx4ULF/DFL34RjzzyCNbW1rC1tYXxeIyiKGCtRb/fx8rKCk6fPo2nPe1puOeee3DvvffiBS94Ac6ePXsd74yIiG5kB6lxfDIo50xQ26xqPHh13IR0Ku+xVtQz+9VeUfmwfVH1YN8I+qk2URWV61ZTetWZYwfWxHrJ7febloJfBiEw1Y7eCEIVZG4MCuebysxpadoYOqGx1lrbhMbS6zQFrP3aCAARqCqMzk4eS/sahP2miWrYrN2JY2nfzAgsQmVl3npulVdU3iNfEMiqrlye2bYftz7/K3Di1C3NOZ6+PMAgm3wDzits+1pjcOzWpT7yHUJS49rhsXE597NTB5jINaodLmwWAIB8F9WZ+zGw9oaswCQiIiIiIiIiIiIioqe2mz441vbMZz4T3/Zt33a9L4OOwNOe9jQ87WlPw1d91Vdd70shIqKb1HY1jk9G03Wbo9phs3KoW5O3Prs+wlYdposVtcdaWXU+b46tHJaybujHe99M1DIiKL3HuPYwEqr9NNZaJu1KRiOCgbHwUCgUTls1ktDF1Y1xu0cIaHkFTJxwpjFw1TMWuYT1Cucn15CuR8M56vhBZ66VTN57zAa+sGDbzOeqzQS0dsisdZoYDptdrV13OXVpsOgG91xr5626RmYMKu87FY8C6VRaHsTync/C0vGTQLyOJWt2XDs3Bqf6eRMq3M7lcja02D7eQ+EW9aRu4/NXt5Abg741TZCNiIiIiIiIiIiIiIjoqeApFRwjIiIi2o9FNY5PRvPqNlMd5UNXQ9Vf6TyuVnVnupgC2Kq3fwYpILZVuU7gKjeCcSuktVX7hQGrlHva8g4+Vkg6ryi9xnBRqjY0TdgqswLTil4ptKmvLFy8Egn/8C29ooipsNorjBF4n6onQy2lNuugteZsNeVO2uuk6WBzBrvNnMsAqDVWUaa6ylTN2fwnBMUyI+gZCxFgECd2DWNV5Ym+hfeKTedRq6JyHmWr4jFVY245YDQnlLVXL/iu78fAGhzLM5wc5MhEcNuw3wmPtSe83b48mAmMPWNldhuQptp16ylTnWXhPS5sFajcdPnn7pyNFZlnW1WZRERERERERERERERETwUMjhERERHtYF6N42Hr26OfdJTqNp1XVHHq1Kiq8fmNUEeZwjlXynomJKULpny1ld5jo6ybEJSRUEWoAJwqaucx9n7hxLB2HWXlfPPexG7GNFWrb00TenLeo3KCnhUIZFJNGSd2peldBkDhJxPN0jV4r820s3ZorFkC208RM5gNmKVj532jgp3X6+wvgO2E4qb3D1WevRgaK7zHSpyyVjnFZu2bewOm7h1xKtsBf/WO3fksfNl3fT+e9mWxRnyH9dJUr9yGa3GqzbQw5xUFZgNgxZxQmFPFqHa4VFQHuv6lzOIZy4MjrZK8Fn+/iYiIiIiIiIiIiIiI9orBMSIiIqLrbJhbZGbnqr6D+pOL6/jsla1OCOfCqAj1hV5xuaiwUc2GxpIU2JpnkBk8Pio7waZaFVWc7iUCPDEusWOqCLGq0hqYOFFqEGswj+UZSq9YL2tU3sOrwGm4F1NLs/IgszAyOS8QQlJp8pUHoPEmrRE4VUjIWkG1GxjbKS63aMZVmjAmmITL5tVSamufNhHACpAZEwJVmKTajEzuNR1Xeo/Kh2rPkfMwzmNUh/vxAMYuVFSm0FhuJEzo0jAFbTcVj1/+T/45Tj7jTkgMn1Ve0T95C/qrJ4B4DhGBidPsbHz48+ofFcCjoxKj2mGjqlF7RWYET4wrnB70dl2f2bfmQJPChpnFc04s7/v4XZ3jGv39JiIiIiIiIiIiIiIi2isGx4iIiIius3OrwyM/x+NbBT51abOzzWm3/q89mWoewWQq2PQ6o7IO074kTZHq7mOwu+lWXhW5kSY0lqZAGQkBry3nUHmPSgHxHmmkWPiRJpRNQkvz1ndekYaeSfNfba5zu5DXbhlMJp8ZhPBWe604EK07Ia11LOK0thAaizu06ipFwqSxPAbsNF5dz5im4lK19X20pq3laQpcXLP97LazcvsdOHHXOSjCBLClOfv0dxH4KmPArPYOa61pYSvxu86NIL9GQaunLw+O/BzX4u83ERERERERERERERHRfjA4RkRERHSdDHOLc6tDHO/nh7Je7T2KBbWaH7u40QmJAUA1lRKbPlJVm20eClWF19lg0Nj5piox7DuRaiKBxbPGUg2miCAz0kzqSpPGQo2mx0a8nlqbvBh0KvCkTfht/r1VcdpaukY/dZ+zRy7etki6IgUgCkw/shTUmlf/aeJnBmEq2ryJZgI0oTEghOEQQ3khEAbAK2wMjY3rJnoGv7mOzcsXUXpFHb9/hWLrwsM73pfXMNFs3u+YiKAfA3/AJCBopoJk6ZoB4HIMjWVGsJLbaxYWAyaTyo6ynvKw/34TEREREREREREREREdNgbHiIiIiA7BfadWMLC7D6H0rRxafd1aUeH8+gijWBE4rfaKP710FRdGxa7Wc6oovW+mcvnW+/bEsRTyMiIwBljphX9atoNKQKiOnMz06p6n8iGQNllVMMwMhnmGrdqFKWhQjJ3HILNQVRhJM8ImR3kALgXjatcEs/yc86ZvyalCfQxE6WztpGkdOy84Nu+e2vumz9v/4M6sQS9VZnqPsQ9VjtI6BgjBJg8gE2lCWM6HZ7EUf8+8KgqvQAy+Oa/wAhTx/pdsOHBgDS5+7MP45Hv+OTY+/7k5V7w7oSJTMLAysx2YTAw72c9x+3IfPWNwV2vaVm4EXoHPXNmM35eGNXfXSrmjZ6wM0Lc7/53K4zS33XrhmeN7vpbD/PtNRERERERERERERER0VBgcIyIiIjoEA2uPdHrRImtFhY9fvLrtPvWcyVaLOFUUrltfWbWqHdtCgEswmArrtGsiB7FKcSmz2KonwTYX6xNTLWOSG8EgM82+RiRO0xJkIihVIRAYpArH1pSxVhZIdfL5NIlhLOcXT0EDFgfDpj+ft0aqi0wTxFK1ZD8+DwCoARhVZFPJqdwI+plBUXv0TAggOVV49Vi2tqmfLONUMcT3ImhqPget8zz2J3+ID/2T79rmTnan11pz2nJum89uX+5jmGW4a3UJy1n378TYeeTGoPJ+YXhrUc3oTlYyu6dA2G586S3HrsvfayIiIiIiIiIiIiIiomuBwTEiIiKiJ7Hz6yM4r6jmJLucV9SqKJ1H5T0qr/B+dr8UDiuda6Z8JdN1lkkIX5mmntCpbyaAeVUYI+iZSWhsWul8c54QvhL0DLCUCTbKunsfqqicx1gULtZQqk7CbKk5UdKENMFMDaTGPwaAGAmBMFV4EXh0p42lMJhvve/ce2u72ebzpqZSFdagqWJsP992RkpE0DOzQTxF+A6zdK2xfrJ93nYNZW4NiuZY4P/8wdfiMJg5Ebnw/RrYGIw7lmdYzjM8bdiHFcHYdee4lW5e+eZEbhaH07bTt+ZQQ2OsmSQiIiIiIiIiIiIioqcCBseIiIiInqQe3yrwsSeudiaEAaEq8nJZo4rVjZVXrBcV1uYEskrnoQhhJK9ojklyazqVk8M4dep4L0PPhslRm5VD5UxIUaH50YSi0vSwM0s9GAiuVhUK7+FcCH+pKkp1KL1g7LS5hnBdsUoSwMi5JhCm2q2RbE8HawfSoN1glwIoa99UWGp736n9pPVHESouLcIGGzfOiyp5pPpJQWYFS9bCGmBguhOxvA/3Za1gNbM4M+w3dae1enzh6hiiii3vm3Bc+/qSSx/7CD757n+OjS/sv4ZyN24b9nDu1Ap68RqthOBY4TyuljWcKm4b9qEKXNjcXS3qtFP7DGqdHfZntt1zfIjjvb2vx5pJIiIiIiIiIiIiIiJ6qmBwjIiIiJ5Sau9RTKdwdjB2i0oPr5+1osL/XBAae2xcNu8rr1grqhC+igEsYLaSMm2fnvbUrlG0AIaZxfF+jtwIKuexVftQI2kRJni1jg3hLg2hNIRpU1vOo/YelUvhMEXhw7SygTFN2EwRvitBmHSVJp+l62xP/Zqm6AbLUvgLMvkshcEMutPFOs8C3dCYINZzxslgLobO0jNThOlnJu6X6jX71mA5t00Fo9dQMTnoG2xWDpkI7jw2xFI2CSttVIqx81CEfd3GOsYXnwjHxwlkAPDExz6KT77nn895CofvuXfdiVNL3YDWuHZYr2oYAc4MeuH3wm8/VQyYrU/NjcGpfo6+3Vtgq28Nzg77nTpJTgsjIiIiIiIiIiIiIiLaHQbHiIiI6Clhrahwfn2EUXXjhcD24/z6aO72y1NTxTaqGrVXjGqHrVZQLE0aS6wIRIC8FRQz0q1NPNbLcLKfN1OzNuIksbR+mvQ1jjWUVazKNHGt0o0BhLDPINZXjp2HjbWT7dBY6XwT5vKtwBuweMpXM3VsTposTS9LxztMaiYV8wNprvU+hc88QojMIQTI0r7LedaZJja0BsYYnOxluH15AK+KtbJG7UPQziCEp4x4GCNYKyusTfJ+cD7UUV7+xEfx4Xf9ONYe+uycu752nvmce/EVdz2js21UO/zx4+thqpsAl4oKwPzpX9MykWY/K9IJLN6xMkDPGtx7crmZwDZPz8xOBuO0MCIiIiIiIiIiIiIiot1jcIyIiIhuemtFhY9fvHq9L+PQVN7PDcA51c60Jw9gXPtOqAtAZ/JYIpImak0CPINYS9ns09rfawiMTYfGwmdhmpnTSZ1hFkNVRqQJCqkqRBUCac7vNYSmmrvYYThcO/TVqZeUMFnMSDfwFe5/UqfZeQZTp5Tpn5ICdtJ5Fun+2tPZ+vHZDayBFeBKWcMKYNsTteJNruSz/yT3AC78zw/j//zB127/AK6R73vr2zshws3a4eGNMUrv0bpt3LbUR37A4FbPGgyswal+rzNJjIiIiIiIiIiIiIiIiA4Xg2NERER001s0netGs9sazVHtMHYe49p1gmKV93BxrJZHqKncqGp4pIlb8TPVTtAraAXEBE3Qq71fFYNptYaaRq8hNFbHGkwRgcbzeoTQmG2FxpJQXxnWdvEPABgVlM6jihPI2oGw7vHzqyo723QyZWxRneW8bTr1Pq1pEO5FEe8VkwBZep7tgkansQ7Uezw6KlDpbH2jQLCU2Ri0615R6T3++Kf/2ZyrvLae+Zx78bo3vw1f8uKXYtyaWPfQ1a1O1el+qybnaU+9IyIiIiIiIiIiIiIioqPD4BgRERHd1BZN57qR7LVG81JR4Y+eWEflumGk2iueGJfYqn0MZXmMaj+32rHNxABUzxo4DRPJKqeoEAJRddw2dh4GAishFDWqHOoYtQpZH4UAONazGMfzpjrHEK4K4TivAq/A2DlUPoTEQtWkn6mOXGSnMFhaI00gm7nnqWPmrdc+ThGqJROv2kwgA4DCedQi8bmHCs7MCLamprE1598hHLV15TKufv7a1FN+68/9GlZ7GSrnseVC+PCeE8v4ymffjdUTJ2f2d6oonUduQt3kdNXkQfSt6VR+EhERERERERERERER0dFhcIyIiIhuauUuJngdhr7dX9hlrzWam7XD569uzYTGgDDpa7MVPkvBqXmhnnY2J49vSuc7+3pVVF47++UmTBvbqj0GmW2mTg0yi3HtmuOmz+k1hPiMCGpVlC4ExhBDYwbbh7j2ars1DBAezIJpZLvVnq2VJo9VXpGbECCrPbCSG5RzvqudjC9fPMCV7d7Xv+Nncedz7oWq4kpZI4/bX3THadw67M+/NucPXEe5yNnWOff7d4qIiIiIiIiIiIiIiIh2h8ExIiIiogMa5hbZPoM082o0nVdUqnBeO1OuAODB9VGoh/SzkaerVbWrc2qcJGZEmulOlVdkMfCUtENjVsKkscortmqHvjVI2bBBZmemejnvO6Gs0sVpYhrvKX44Hak6SJBrur5yUewoVVn66W3brDm9lhFppqml5+A0hOuMCGqvGGammUi2nfH6GrYuPTFZG4Likb/c8biDOHnXPXjZ3/8neO5XvgS5EVwuagChonQlz7CU2SM9/7S+NTg77GM5D+c9yN8pIiIiIiIiIiIiIiIi2h0Gx4iIiIgO6NzqcF/HTddoblY1LoxKXCkqXC5rVL4bq/IALm6Vc9dSAFfLyVpLmYX3BoBrJmM5VQhCTaSoAhLqKQWAqkffmmYSWW4sKuegqvAIgbGetTBQrMRwTwpbtSeNjWqHrdqjUkU7euRUm/29ToJY6Q7TlacpaYvuMWnvY1rbpLXmTiE0mw5qTT1Lx2YSPrICeEwCdum8uWkF54zBsb7FVuU7i7enrg2mKhidV3z+jz6EP/qpt2P9iCopv+b7fhjPfMFXdrYd7+c4dettOHbyZOf3wnmFMbJjrelePWNlgL7dPgCWtwKMyX7/ThEREREREREREREREdHuMThGREREtE/D3OLc6hDH+6Hgr/YexR6qMUd1NzT24NUxxrXDY+MF4bA5U8aaz6Ymk5nQUQnrAUGol6y8YmAFRgxqDSGnLIabrBH04oQnr4raORgROAC1VwysaQJAkwCYNueuVLFRVijiNXofJ3HFPFCYNta6XswGu1q7d6aGaeszndoPiOdRxPCRop23m16vvb3JKkm3dtLE52KNhOv0iunok5UQDMutwEJgWrGzvjEovG+eTwiZhcAeADj1+PxHP4T/8wdfi6Nw8q578H//Bz+Cu1/04pnPzg77nZpJD0VVh+v2rd+vwnmMF1RsTgcat7OS2ZlQ2Ham/04RERERERERERERERHR0WFwjIiIiJ7y7ju1goHdWzVf30pTpbdWVDi/PupMD9urC6MQFrtc1vteY5qVEBoDgHJB6GwpszAiMOKwklvUXnG5qJBZgQVQq0IAVApsTt1f5TxGzqP2HqXXTrWlIk4W08n7RDA7HSxtn3eV7diRAjMhLsQJZin4pHP2FZmsY+JzsXHCVm5M81kKRRnp1nYmuQlT2U71cxjTSsW1rnzLORRe45r13ADWH/302+fc6d686If/BW55xjMBAEu5gYVg6ZYzGKwex6kdgleF97hUVKicb77ztoeubmF4gLrKO48NcLyX4/mnV3d9TPvvFBERERERERERERERER09BseIiIjoKW9gLZbz/YVk1ooKH7949UDnr72icD5OBdv9NKedLOcWG5WDQmcmkiUhNBb29QpsOQ8FYGPsKR3Wn5oaVTmPjdqF6WSKmZDVdNhrcr74M32mO1dKtusr26EzjRstAJV0vZMFTWs/AyB1SxoAIgIT7z9ND5u+h7RN0nHxWQ0zi9waWBHUXiGmu38ZQ2ODBRWN5foaNj7/uR3uemcnnnEHjt91D4Dw/VmRHY4ICu/x6Kg48Pm3kxuD551a2fffKyIiIiIiIiIiIiIiIjp6DI4RERERYe81k8lBQ2NOFZu1Q+U9Ku/htqmjdDtGrAIjguO9DD4GupwPU8EAwAmgaIekFCtZjo26xqh2TcBMoc00sNyGQFI6xqlivarD2k1d5fxr8WhN+goLw6NVdzm1v069nn6ffvr4Ik0pmwl9YfJZkyVL12pCwEzEQFVhdfI8fFyzuS+EfTWGwqyx8ED4niSE/qwJn3lVjF2oqOxZE+9TZ65t69IT8x/WHg1PnZnc75zMWLimqW1QPLZVom594OZ8eb091EtO61uD+0+tsG6SiIiIiIiIiIiIiIjoBsfgGBERET2lbdYO//OJKzMBm2tx3gujAkUdAmMXRsXcysDVXoYsTpKykIUVhHUM/wwzi1oVPWOwUTuMm0lmir41kFjLODAWBsCJfi9UWtbASm5Reo+x81CEqsoKisopYBGvNQShCudhRSAQdAsiu5WTKX6kANyC7Zh63Y4szZs0JhIqMKX1YarEFLSmmaEVaGstakUgIsiNzJy/HaLKYpWlFUHPGIiEbQCagBgALIlBKqZM28o59ZS9WHNZLphEthfH7nwWeseOAwhBQWndYPo9mv6Vzozgwkhwcavcdu2+NTOVkXesDNDbxXXnEipAj/cYGiMiIiIiIiIiIiIiIrrRMThGRERET1mbtcOD61u45/hwYa3gUZ53N1JgaUc+TMsa1Q6nBr0wyaxyAGKYSgSDzDQhtMQKkInAxNrFcR0CT+2n4VWxVWlnClcKX4UN2p0qhsWTwvYirZUCYx6TSWJNggyhqtIJJnWcIoAqNO6vko5pV06GsJVXRRYnqjlVmLRmrK9MUmAsXUtaJywrKNJz2+bLyozEasyD/67d/9rvb8611Prdrb1iVDus9mb/mb+SZ9BdJCTvXFma2dazZk9/R/p2/xPLiIiIiIiIiIiIiIiI6NpgcIyIiIiesi6MikNbK0316mzz2kwCa/vc+qjzvvIetdeZysDMyLahMdXJhKtaFYVzOL3UhwFwuaybGkiDEPQCBM77TpBrVDlkxqDyHpuVQ62K2ntUQKxi9KhT5WEMVtl4Pm0FyeLunXpJRXd62F60p5al99P33lRPSqqrTGEznbyeOjC9TdWSRiY1lYqQLTOtfYDw7NK+OnUMAGxVrrlvjYG1edI5/Z4jdBOrz7wHz/+u78fx5305jAj6NvyOpOsZ1a5z7UAIBi7nGQy2rzvtW4M7V5bmhs72YpjbmYllREREREREREREREREdONhcIyIiIiekmrVZkrUQbQrJ5Nx7XC5rFH53a3v5lRUAmFCVHJ60ENuBE9fHqDyise3CpSt9VM9YW5CqMmpQtVDBHAawmnrpW+mbHmE3NU4Vk5aI9iqHJwqaq+ojHbWbgejBKF2Eq26yHYNJTB/ylh7Wtd2ZMHPZpqZhuljaeiYT9cSdxaZDZ6lA1WkE2jLjKBvDFRCvaSdcz2mtV7hfGeqWHomwOQ5TUvPu3QeIoJxDHdt56t/7J1YffodnW3DU2fQXz2OsvYofarKnAS0UjBtOc/wjOUBhnk2MzkNAG4fzp6vZ+TQwl7nVuecgIiIiIiIiIiIiIiIiG44DI4RERHRU1K9i8q+ncyrnBzXDo+NywOtmxnBSp4hN5PAT24EuTGwAjxWVMiM6QR9RnUNK4KeMTE0Boxr30wlcxoqHRXhdZtXhXOT0JOIxFBWCJlp3KddARl23D4Itt3UsDQNTHUypWxu2CvtHwNi7TZKk14AEOgkELbDV2vivWVGYuUmmmlx0gpZiQiyVvCqPcUr0Th5rV5wzvTsAUCMIDeCchfdoyeffidO3n1u7mfWGki8lvbviBXBib7BiX6G00s95Ic49SvfxTUPc4tzq0Mc7+eHdl4iIiIiIiIiIiIiIiI6OgyOEREREe3TvKrLy2XdeX/bUn+mgnJa6XxTaWlEYBBCUoXzzXStK2WN3BisFeXckFLhwgSqwvkwXayqm/rLysdaSZGZ0BgQQlO2Vb+YMkLpffppoHAIIa40kMxIqIicjhUJQkCrXV1pW2tnJoTTvCqqqVFlaZ80TysFvaCzJzLxXCqAQZicBuikd3LqmkSAY728OS5tH1gJk8vmTANL358q0LMhvJfeQwSF98gW5KoUghyAFWDJWixlFtkuglXHexlO9XPcMsiRxSlytw8HeHSrwGZd4/FRjdwIzgzDWtYIRAUX50yu26s7jw06obNhZvH806vbHtO3hzexjIiIiIiIiIiIiIiIiK4NBseIiIiI9mFe1WUIaYVtlfPIjcGjW7PhsqTyHhuV60w/c6rYqj1q71GkwBeAz18VVD5UEU5XDwJotj+2VaL2HmOXwk4h7BV3aiZqaaxPDIEzwEuYjKUxnKVo7RfzWl5SNSNak76AtPeieFza7jEJa6V7TsG4tNa8ddI1iwJuqoZS4wQ0VcCIwnfGkk3WsHGdgTGonMfAGphYW6nx2TkNAb40pa29VDpX+n7TZ/OqIJM8TjQDgH48X25kV9O7jAkhOBHBldKh8h6ZqfD4uILzipFzOJHluFLuXHu5V7kxGNhJCOx5p1awnM8r8SQiIiIiIiIiIiIiIqInMwbHiIiI6IZQe49i3jisAxrVDmPnZ7anANB+zau69K3JVJDtexwr77FWTKaTefUoPLBV1XDohtIUQK2xPlIBPyei5ZsTz5Guq1U1OaldlBC+EmlqI0WBVEjZBLTiwC/fdEq2w24xSNU6pWB2W1o7rYfpY1IibGohVYUx0gTPmuBYvF4IOhPEJueaLCRG0LMCa8J0Locwjc37VHMZJoc5n57PgkeJyYS1RaExESATQb2xjvLSE8itQRWvzuUW61/8wvzFW0rnsVHVGNeuCc6NawcXw38n+nmnpvIwpXVZPUlERERERERERERERHRzY3CMiIiIrqu1osL59RFG1eFPTgKAsfM4f2W0r2PvO7WCgZ0/aWk0p9KwcB5WBI9ulZAdgmkb8X7HtcfVqoZTRdmaMOanQmCprjCbCgsZEZQuRMnSFWkTYIvhqLRv/OkRwk0GEtaLYS0H3wltqYaAV43weZPr0slucyeEoVsDmbJmprWvxEpKkfDamjAVrJbuOgNrMcgMSqcQdJ95mrImIs3UMK/hOaRzpnVsrAAtnGJch9pPiR9q61m3w1h9Y6bbLgFJ1z4/tLWUWzz+Jx/B773rx3Hloc/O3Wc3rlY1qq0SS1n4/ctEkInAxIrPRVPOdnLHygA9u7hScpgZPP/0cVZPEhERERERERERERERPQUwOEZERETXzVpR4eMXr17vy1hoYO22FX2DOQEcxc7TzLyGiWXj2mOtrJrjNAbDat+to/SqqL1v6g4751OdCW6l7SlAlYSgVBgdlkJjBqGisdlDmgWaKWPz7rFZD91JX+m9zNkvnT5tszHw5QXIYpDLts5nJQTmMhHUomF/IFZMKtQLmpxXqp1snT+Fu2zcp/KToJmJ08JyEypA58mnnnc/M9iqHMw2k74u/slH8H/8w9cs/HwvBtY251/t57CHMGGsZ83c39vkeaeOsZaSiIiIiIiIiIiIiIjoKYLBMSIiIrpuzq/vbRKY84pqUR3jAuWcmsqF66t2QkTzpoolYzf/s3Zd5fTUsKSOk8CuxNAYEKZxLaoe9F7Rz0xn/XAOhfc6cx5VRavpsglw+RC3gipgBFAN08pqrxADaOuYVAs5XTWZTF9pO7A1vW9nn/iBpHsVgYE2FZoaJ5sZmTzDWj38VEAu3bI1YcoYVDHddCqxwtKIoFZFOy5lRNC3IaxWtZ5L53rjtDYjgkFmOp8XV69gfPGJmXv8/x5SaGzJWlgTwn0reXZotZT5gkllrKUkIiIiIiIiIiIiIiJ66mFwjIiIiK6Lyvtd11NuVjUujEoUewiB7cWodnh4c4yinl1/u+lM84ydx+WiQu0Vx/sZ7FTE6pZBDgVi4CtsMxKmkG1WNTwUKfXlFXDeA0bgNATbwnZF7UOoaTqgZeO29mfpZ6WTN6UCYnQSjvKTa0nrAECts+ExM/Vepv9IWMe1BpkBYcJY2sfGykXvPRxCZ6XzOimjjCd1tYeHgfOKnjXN1DXv4xS2zGKrduFZekVuBIpunaMCUBemuZl4DYO4ThUrQrOpPFWaTCYIoSqDUIG5/sk/woff9eNYO0AN5W4MrMHppd5MQG8npwc95EZw9+oQ/anf3WFm8fzTqzPHsJaSiIiIiIiIiIiIiIjoqYnBMSIiIrouyunxUAtsVjUevDo+susovMfnr24hnxOcWTSdaZFRVeOJrRJ1TIRZyEy94FIWIlm5NZ0pUoJYT6khtOTjVDKPblArhcYWRu7ipK52aGw67JX2swhhKIMwAcxiUu8IhIlbgE6mhLXWbC0zqayME75SpWQ6MJ3bCGKkK+zjVeHjFregLjK1Z6bAWCYh/OUNkBkb15U4DWxS8Tld9SnxuOntRe2QCWYqQNu1oGlq2YU//tCh1VDuZPXMrXsOjQHAIDMwEKzkFnbqnp53aoU1lERERERERERERERERNRgcIyIiIhuaBdG5ZGuf6mocHpOPV/fGlgjM/WYfpu6zM9e3ULdngqmGkZ/tVQ+lEC6qYpJF2sZ0+61D2GnXKSZNAaEgJVbcP7QLSlNpWIKjc0LIMWMWtNHmfbxqjEwFieXtUJoi4JMzTk0BNBUQ7AtXYeLn4uPQTQADtJ6Vq3gVvve4v3ksY4yhekAoGcMxt5DfXjOqcrSqzbBu/b1eZ1MeAPC11LFCtCqFWIUAH5zHeuXLzbbxpmFFeC/XqPQ2OlnPRtLx0/s+bjchtBYPzOd0BhrKImIiIiIiIiIiIiIiGgeBseIiIjohlV7PbJ6SgBwUFQL1l/NM3zmyqg5f+EcLhV1DH7N8go8tlVgq/ad0NL0JCtFqBNcxADoWUHPZjAIAadx7ZqpWU4FeTO3C8iMaV73bHi1UTmo89huqJt6wIs2wTD1ihTRa08Way+x6Jto758mh/nWtrSPjwE1I4Bz4Y0RgRU0k9mcnwS90p3VIWsX1/YwIhjVDoXzcAi/JybF11TRtxYiQM+apgYUGioZ0/cxzAzGsRLU2hA0++L//EN84t3/DBuf/9ziB3cN/C//4Id3tV+qpUzuPLaEYWbxvFMrWO2FkBhrKImIiIiIiIiIiIiIiGgRBseIiIjohlUvmqy1DQ9dXHs4pUqVkq1wV98arOYZHh9PJp0VzuHRre0nn5XeY7MKBZK+NXVsejpYUfsQPpupR9TW1K3wI1RXhjdOAavaVEOGwJXACGCMoBfDQaPKwXvtTAdrvzZxw/T0sIXVl7vUDogpuqEzaf00MtnHxGrLplYzDmhTnTwLBVB73wTRRAETp49V3sfQG+AFsIJQORqnqYUlBCIaajRbVZWCyesUGvuDf/z/OeBTOJjTz3o2/pd/8MN45gtfvKv9B7FOs58ZnB32cWapx8liREREREREREREREREtGsMjhEREdEN696Ty7ved1Q7PDoqOrWDO8mN4JnHlvCs1WF4LwJrBJ+5Mursd6mod1xrraiw5Tw01iY6BcZzppltVg4bdT0ziWyes8M+FMAXNrYA+DBdyoUQVDraiKAfp44VzncmoqWJZc28qdYpTQxVKbRTVdk+ri0F1qaXEoRJZ6kq0ohAoCjcJBBmAFjTPd4jhsLicfApUJaCctoc71vfae3DtDUXqyfTdZp4LUXotAQAlC5MJ8tMOGYpM830reN5jixO61qrKvz5v/4XuBbe8Gv/Ld6H74QTV245gzufdiuy1u/FM5YHyO38aWFLmcWX3nIMPRMminGyGBEREREREREREREREe0Vg2NERER0wxpYi8GC4EzbZu1wYbMAECdO7cEzV5Y655iux3RxstV2Cudxtayb0FjltVMhuB/LeYaeNSicQ+W1NWEshKLawTMBICKTsFdrUlmaMDaPALAAqta2Zn/t7jdvall6nRtB5QWqIYRmjIGIn4TbABgIJE0RU20Ca4pJ6CtcNzCJj7VDb2lSWHitqp1wm7T3nXOfRgTWmOb3o58ZZCY8s/KJK7j04PkFRx+e7/03/w63n3sOAITfqVHR+TwT6fz+rvSyhb//X3rLMU4WIyIiIiIiIiIiIiIiogNhcIyIiIgOrPYexR4mfQHA2B20HHHiwlQAp21eXSQA9KzB05b6sEY6k8GKqSlhfhd1mVfLyUQyp0Ami4/VOEmrVo92o6bX8BzDBLGQ3Kq94kpZN+uoCryGDFW6J0WcsoUQWEtVj0Arh9WcvPU6VjvWmITMUtCrPclrzmEp29X6TKDq4WLFpPMe7VtXmVxTeEaTa+9k2lSBViCsfS6JZ1IRiGpnfYMQgJNtprj5tHbzLBXOh4lno0uPLzzuMDzzOffiO3/0n2Llvhc0IcRql3Wq04a5ZR0lERERERERERERERERHQoGx4iIiGjf1ooK59dHGFWHFwLbq2efGM6thBxVNR4ZlXNDY1YEqtsHzpLblwfbfu4RwmalV3itUDqPGgDmnDc3YerWZuVmQmUeQOE9BIKxAwZeIahwtapROI/aAyPxMUgV6xzjaxsDU0411kJKJ9jl04vICLBkDXrWwqnHqHTwCKG3ebPVpieOaWu5VJGZ6jm9dqs0IZOJaO3jp9fsiNeRPs9bO9q4Xh1fh/uRudWfqQrTu/CMRrWHEYWRcEztFWPnsFltP1Fut177K7+JM4NeZ9vxM7di+fgJVN4v/H07PeghN4K7V4fotyaMPf/0KoaZbd6zjpKIiIiIiIiIiIiIiIgOE4NjREREtC9rRYWPX7x6vS8DVsxMnd9mVePCqASw9+rKacu53XaNyntkIvCqGDuP7eZItdeZCTqpQlpRKtOEwUJ9pgNgFTBGJtOqRJoKx/Q+hbSMmdQ5hnrH1nUIkBmD3AgsLEqrKJ2HppCXzk4Z61wquh9KuPxYCRn3aVVZNjWT8TkpQnivUzUZ6yeboFvrWk3rudmYiZPWVzLv29EYZBMRiAEyM3m6A2tRe8WoPrzA49/5qZ/Hvffdh/4+ft8G1oRJc7b7uzzMLJZzu82RRERERERERERERERERPvH4BgRERHty/n10Z6PcV5R7aL60WuoXbxcVHOnibXNq7xMobGD8KrITJhKVflQKzlvelmtiloVW3W4zhR+ArpTuXrGQATwaNclIgapwjFlDIQZAKUXmFqwVbtwXhFYI3AxDGbSAsAkPNacO4SwXHufyAAw1nSmhgFxetkuzATKdBISS583VZZp8JkqVCZBtiYa1bq2dFxzSwj/UE2BsrRRm9LKsLORyf22OaT6yvDsbXx+A2uRGcFGNakXnTetbLdOP+vZ+Pp/9CN44Utftq/QWG7Mgc5PREREREREREREREREtF8MjhEREdGeVd7vqZ4yTQArdgiBFd7jUlGhivt9bn20q4lh7SlNtdcdz7PtNTiHS0WNynvcNuzjU5c38Nn1EWo/CSat9rKmHhIATvQyPGYFXi28ApX6TgBKJISrCudDzaKG87h2UqrFiqD0iquow3lFAFWULgSvfDuRBkCg3SpJ7zFv6SyGp4bW4lgvw8l+huO9DOevbOKx8SRIpQjn0lgZGaodw+nSozVmEojLBNgCmkCcYFKPmS7BSwzL+bAta32tVky6RahRiEe37rL1XDIRVKqw0CYwZ81s8KpvBEvW4FiewxrBiZ5F34bpXV61UxVq+zv/k/g73vkenLnjrs621TO3YvXkSZjFpZs7OrmLcxMREREREREREREREREdBf5/qoiIiGjPSrfz1LBks6rx4NXxjvsV3uPRUdHZZvcxiameE8TyqnOnhU0bO4/LRYXcGtw27AOqeGKr7ITGwnV1j6u8x9h5OA3TyYBu6EnTOC0J1zeu/aSOsXWPgjCNy8Zaxcn0LkXKj83rwhQg1FzGzkgRaY39mlyDgyLTEAyrvKJyisoBtUr3eiEQaOdUJp7JxACYjZO/FLEOshXkanor4yUoAB/DYE3mTQBRae413YhRgRp0U28SfhcEQKUaw3it2s94DW09Y3Cin2Mps1jJLPIYLty6soYrjz+G9bKGNYKeMXjiCw/NPtQpZ5/5LNx+7jk77rdbuTE42c8wsIurKPvTv2hEREREREREREREREREh4jBMSIiIjpSu62NvFRUnfeHUeGXpoed6GfIdrHWwBo8Y2XQTJC6MBVkS7WV08bOY71yqLyfN0CsEzTzqsinJmR5xIpLDQGolFPTOBmrju/NTE9kDJqlY2Jgq3KKOq3bPkSB2im2fA1T1Hh8y8BIuK9Ua5kmhaVjU/6sUkBkspqJ66c7yYxMRqHFesl0vEeojVRt8nNI0TjXCuWlfQ0UIuH7kLgeEEJ3GYBBZpugmIFgmHfDVwLguSeW8bxbjjXhw4998H/g3W/8x/jCX/wZjtI9x4dzt7en4FmRHX+3h7lFto/qSyIiIiIiIiIiIiIiIqLdYnCMiIiIjsxuayMdtKmnTE718wOdu3AOj26F0FomsqvKy841aTckVnvFqHZYzrohpcp5bFQ1fAx+LRImbIXwVDs0NDlOsNucXPtONF6rQEKYqxXOQvzZbrZMx6b6yclCiv0UfGbGxHW0CXP5GBrD1LUA4TlkcXpYe0qYts4vEGRGYFvhQQXgnIc10gkVDjMbQmtTnn1iufkd+qPf+wD+yd/55n3c3d7cdWypU5s6bS+/g+dW5wfQiIiIiIiIiIiIiIiIiA4Lg2NERER0ZObVRs7jW1OncmNwqp+jv00Apy1fkLa6VNTNazs94WtBdWV7e+U1TOLyYdvYeSxndmatrRh4CxPDFtyvyMJQ2aKwVlpr5vNOh2X8EUNglU6CY+l07dBYewkbQ0yKVmhr6hpnLnlq4ln6hlJQrLnmOFrMTx0qmFROTq89CY2FCW3TE7mmn60RYGC7oTGFwkCwnFsMjME4fjf/2z/5gek7OVR9a3B22Mdyvrh2creGucW51SGOHzA4SURERERERERERERERLQTBseIiIjoSNx3agV+d7mxZirZbir82vrWzAS5gO60sNyapnoyVVce72Wdusix81grKtRTFyzxP0aAlTmhIEU4z7h2k7rHKQLAKdAToG8Eisk9NtPG4qVYEbhYT+lj5aTDVAhs6pkahKlfGtdz6E4ka+6jc91hUpptP+tWEG3e12YwmVAmCPdSeAXUt6aLKawYeChEu+fNJFVUpvNpUx+aWjYBILeCXgy1DbLJd+ehQO1xcpDjdL+HXitYWDqPUe1CFaaE7/OhjS3kxmBj7TIeOoR6yjtWBrhrTg1lLjL3dxAAXnjmePN6VM/77ej6yluPMzBGRERERERERERERERE1wyDY0RERHQkBtbGn7ucHLbHKkkAODvsz93uW9OpUl1hu7oyN5PqynHtcLmoAMxOJguLherEeapdVHGmu+pbA4M4casV2EovvSpq1SZUVnuFCGDi5K55VyCYBLK0tZ8VxCBZNwRm0kHtNUTCNK84BmxqqFjz3qA1pSwF1ERgxEAEqNXDINRWGhWo6MyUM2ndu8ikqlI11FxaAXqtGkrTCtlBgaUsTBIbZJN9SuexGUNZab2VPGtCcetPPD7nye3d7WfP7vp3GQC+9JZjMxPIdjo+28ffASIiIiIiIiIiIiIiIqL9YnCMiIiInnR2Uw2Y21B5mYug8h6PbZXNRLE0jQwAHhuX+76OcT0VGmvXKYo0oTGRWAcp0ql0THuHiswQ+PKqqFqTzzpTulpM/CNxvdJps57T+cdM11HGq2kmfm03IC7dQ1gnVEKqKhS6sIZzmraSaSrSCvgJMjOZQOZj7WdtBCaG6fqZoHLhtddJOHC9rJt60UwEy3mGngmT25wqar99sG837n7uvVg9ebJ576a+o7ZhZnH36hIyY7BZTaaMjd3OE8eIiIiIiIiIiIiIiIiIriUGx4iIiOi62m2l5b0nlzGwFj0j205mGtUuhIYubeDSuELlPbwCF1sBMcGC6WLbOJZ36y09FH1r0LMGpfOofBmTWUGqfPQA4BXj2uHkoNfUPXoNdZFZGL2FwnvkRnDrUg+ViwEtATbKGptV3bl2aAheOSi8BxRxwpdOztupt4w/23fchMh06loXcABEtTlONVRdpmlhilBlOYmihWlo6bwp4pcGiOVp4phOJpH1rIn1n+EoAZrJYkWtWM4tVvKsuQ+PEA5L+632M1gITh5y3eNPPfAAXnjmOK6UFT63PsLYzf+FzWMY7vyV0aGen4iIiIiIiIiIiIiIiOgoMDhGREREqL1HsSAMM89hTk/aqdLSeUWlioG1GGaLJ4wlRsIksPYkMd3tSKw5ciM40c87oTEAgA/ViVerGuXUVCuFdsNwAvSsRW4EXg1qVZQu1SuGcJUVwZK1WO1l2IyTzJwqSmtQ+sl9p+lkqnHSVxpJliZ5xbfzQmA69bodJtvuCSnCFLPOsZoqKxXGGmRG4HyKjKUL6k5dM62qyhTcq1TRiyEyAVD7cKjEZwKE45YzO/M9eJ0Ey8brV2A213By0MN6K1h4+eHPb3Nn27v7uffivT/9U/iar/5qrBVVEwjbS2UlERERERERERERERER0Y2KwTEiIqKnsLWiwvn1EUbVjVejt1nVuDAqUbhJBGq3gZ1Ht4od9zmz1GuqERexMQx1YTS7XmYEtVdsVg5j141ptUNjRgSZEVhjoDFQVU7tLwjBqUoVa6VrPk91jO2wVOkVFkAdQ1MSVwVa1Zc73TwmebP0RD22D495dCeWpQllJQTi2jPO4nWLdK9D0Uxby0QwsAYiwBCCYW7hvIbv2oarswi1k2E6HHC8l898X5kIrn7ij/D/e8ebcfHB87u46/le+5PvxZk77+ps+7J7nom7nnYrvvzMcQDA+XVOESMiIiIiIiIiIiIiIqKbC4NjRERET1FrRYWPX7x6vS9jrs2qxoNXx/s6tvazwax5MhHk21ReJm5BnOpkP8fDm2Ns1Q49I6hcCH9pDE0lk1BXqKuU1hStxKsiW5BhS5O6gDDhS2L4LNQ8anN8N7q1PWn9aVdnzps+Jphdd/pSpXUvnfufehbte0oTxlby8M/RrTiBLZfwnSxntlMnmonM1Is+9NE/wK9+z/9zmzvdnTN33oXbzz2ns231+BDnVocAgMr7GzJcSURERERERERERERERHQQDI4RERE9Rd3IE5QujMod90kVlkAITlVxzFfhPCqvcH7yWekVrlVXWXtF5T08JvstUquibu1jRbDas3CqWBtXsCKhthGxPhJoAl0AoDE4VdQeeW6gqs0kMSCEwnrGoPQ+BsAmn6dAWPt9+1hgUhs51Vi5o7SfapgcNi9qt6vQGBZUgaZt8We4j7R/eGYruUVmBBvVJJ5nRLBkzUxIzMwJoP0fP/GWBXd3MP3M4IWnj+F4PwcAlHuocT3Qee32E/CIiIiIiIiIiIiIiIiIDhODY0RERE9BN/IEpTpVFi7QrrAsvMelokI1tb/zise2Soydw7xcmFfFRlV3wlKrvWxudeVtwz6eNuxj7Dw2yhpOFY9vlbhSVnhsXGKr9jAI4bTpqzaYBK16sZqxnUFKYajSh7CbiGCrcijjRacgWuUVWStItdLLYETgvcKrh0KwUdUonE4CYZgf+mpfkxGBkXAesyAbNT19bHq9eXIj8L57rBUgtwYSaypP9DPcMujBawj1OQ31lNOBMSDUgk5/NaMrl/HE5z6z4Ar25o6VAe46Pmyu/Vgvwy1L/UNZe7eGuUW2iwl4RERERERERERERERERIeFwTEiIqKnoGsxQalvBcU+zlPPm14VtSssC+/x6KiYu1/pPUb1/GCcV8WodrC5dKZYzatCvG2pj741KJzDRlUDEo6/Wjns5dYUQOk8esbAYP70rHAN3TBWz5omRCcI9Y59K8glXLs3QK0hbJQCYdvVTKapZJCwfxpwtSgAlo5dNMnMmm5NJRDDbhrCXu1nZCU8YxGBFcGJXobMCGofpriFfeZfSaqzbNu8+MSCq96728+excBOQlupovJauh7nJCIiIiIiIiIiIiIioqc2BseIiIjo0KXpSYU73Klm7QrLS0W1cL/NbaapVV7Rt9tPdsqNwal+DoGGyWJbFWofAlxXqhouVl961RCU2qFhMNRkzglYtd6n0JRDCKdZI815au9hxMCKoPaKLedhEOslvYeLx02Hu+a9V8SQWTyfn7Nf+1iZ+jm5XsDK7HNUhABc+z4BAEaaNYeZhTUGtQ81oE4VcwaNITOClTxDPu/DQ/LM59yL3upxjJ3HMLO4e3UJmTGd36HxIf8etw1zi3Orw6YWk4iIiIiIiIiIiIiIiOhaYXCMiIiIDt1RTE9qV1g66Ew9ZZKqD+dRhCrCpcziRD/vVFPeNuwjN2Ea1hNbJT76+BUUzkOh2Kp9PF6baW1eY+gpLbyANQIBMMgslvMMTn0T4PJeUcUAWuU9MhFsuDqG0uI+Gs5VeAeN20wMNU0/gXn1lG0CwLSmmjnVZpzYvFrLttyErSkqlu6r+dyaZjKZQajkdPE7mkwbm0w8u1xUWO1lzbbVPO8ExIwIziz1OtuevjxAL4b+Hlpf3eZOd+91b35buH4ReFWcvzLa1zr3nVrBwNo9HdO3wnpKIiIiIiIiIiIiIiIium4YHCMiIqJDc5TTk9phMO8Xx6MWfWRE0LcGW7VDZmarKQfWwIjgsVGBT17eaLa3M2jbtGhuSxDCVArFuPYwEtYqVSEI08byWO2YQmNAmgam8ABM+zrin0UVkvO2S+tPuBcFRGABqChk0XNDCJsZhJrJFD6brtvMRNCzBqXzMVTnIQhTw3rx2YoAPWOaMFgmgswITg16c6eKDTID04qnHetlTaXksTn1lXtx93Pvxevf8na84KUvO9A6ycBaLOd7C44RERERERERERERERERXU8MjhEREdFc0xOUau9RbhPY6pnJ9KRU83fYFX8eCucVZ5b6qBZcSzXnOlPIyauGANPUPK3cmGafz6x3J075eByQJoBNXgOzk7naRMKEMwPBILMQACs9C9XwjHpxapfGaVcA4ERgBHA+hMo8JlO6psNdivlTxhZ9SwZALkCtYQqYQLGUZSi9nzulLdVZ5kZwvJcjF4ERwWortHVyKUNuBXcuhylzD2+O8MRWjcp7bFSuWcPE52FFcDIGC29fHsAIcGFUzJw7t5PQ2Em3hfXHH8egWGmCY/1Ljy64y4lf//Vfx7lz5/DJS1cxrifz2W659Tasnjy54/FERERERERERERERERENzMGx4iIiGiuNEFprahwfn2EUXW4IbC9KJzDg+sjfDEGjCqveGJczt239orNqp6ZiJUs2dlqwFMxyDR2DkWcmFV4hTY1kpN6ythUCW1VYjq0aiN18lpiBWStiq2qRmkMlnOLUe0xTpO5NISqxs5DVVGrQltraGstYLaecrc0XmcV11YFIALjw4omhsLmsRLqPXMjONHLkLee4a1LfeTG4OkrAwDAZu0wqhXOm7lBw+P9rJn0NmfIWONUP8efffj38av/9Edw4fxf7OeWce7cOTznS74Elx5Z29fxRERERERERERERERERDczBseIiIhoobWiwscvXt3Xsa4VuNrOqHbbBogK5/DoVonTg4PVX4bwk8HV0qHyisI79GFxop+j8h5btcNaUaF0HkUMUylCwKo9ZUyb1woRad5jTrDLxM5IF0NmfSOovaJ0HpVX1F6RGYlBLu0E06bX2mdL5gyN/1EBRBU6M39tPivAiV6GzBo4r80ktiLey6h28b2D8yEA15YZwUpukZvZ4F5bbg1O9XM8+JE/wDv/17+939tslO6wntz2+nY3T5GIiIiIiIiIiIiIiIjoxsHgGBERES10fqq2cTc2a4cLowJFvfvZWIM5U8CSS0W963VOD3oAQsXjLYMeMiMYO4+NqsZW7XG1qrBR1VjKDAQ5CufxF1c2sVmF0JNXRek9vIZqzpnIkcbAWAxbOVUoQpWkEcDH6WFxV3gFKufgAIwdsFlPpqQVzgMiKHyojPQeqFvHHpU0zczE8JjG+s7MLJ44tmQNlvMMG7VDMa6w5TyWMoNMBFYEuQl/2jKRZpKbEUFa+sxSD1l8c/fqsHOMjbWeAPCr//RHDvGuj9Ywt01NKxEREREREREREREREdGTBYNjRERENFfl/Z7rKTdrhwfXtw7tGsLUst0H0EJ4SWBNmC7mVbFR1ahieEwVMSRlACjWqxqb8R6NSAh7IUzSmhei8lCYGA3zMTQGhOBYSEaF0Jpq2GYNIMYg0zBdTGIdpFcF2uvr0YbFFjHx2tN1LQqOeQGulBUsBJu1wzCzsCI43s+RGcGZpV5nkpjdZoRcJtLs24+BwekpZBtrl/ddT3k9nJsKwBERERERERERERERERE9GTA4RkRERHPtpmZy2oVRsedj8lZYyflQfVg411RdpsllW7WHi9dUL7g2HyshnQ/HXhyXcF5xpaxnaiC3nMdW7aGtAJhTj8pNaipn6KSqcjrOpqrdAFisqTRQ1BCY+EkTOEuVl3ECmC465yGZjnJJSIx18mte519BWSuQAVs+hMYGmcFKnmGYWZzsZxhY21nDbfO7E36vwtMrnMfmlcv44ue+0Nnnwmf+fC+3ttDq6VsxdnsLP+7FMLc4tzrE8f7BalSJiIiIiIiIiIiIiIiIrgcGx4iIiOhQ1Kp7qqcEwsQpawSbVY0LoxLrZYXHtko8thUqHcPEsBD8WSurzkSs9lSryntsVK4JlF0uKngo1ooaCsXVshseMgKMa4/NukY7K1U511RILrJkw8yx0ntA0FRVAiH45hVwAKCAkxCUcgBsa78UYrsWU8ak9ccKmmcYqimBlSxD5T161kDiZ0vWwMTna+Iqzz2xhL4Nk8ZMrKhsfx/j2uFyWWOrdrhcVNte023DPj73kT/AP/9nP4ov/MWfHfo9A8Ddz70XDzoLXNrYcd/7Tq10wm+70bfCekoiIiIiIiIiIiIiIiJ6UmNwjIiIiA7Foilg2zk77GOzqvHg1TEK5/DoVrlwWtWiGsXKe6wV9cz2tMy85XpicKUqO6ExHyec7SSFrzKYJgBmY4DMCaCxrjLR1nEpVteecrZf0vq5KK7X3kcEsK1naAAM86yp0GzXRfataZ73sTyDFeB4r7fwOxjXDo+Ny11dtzGCz33kD/DAa/7Orvbfr9e/5e273ndgLZbzvQXHiIiIiIiIiIiIiIiIiJ7sGBwjIiKihdwuw1RACHAtkiokk541eNpSH9YIzl/ZAgBcmhP+0nisEenUKNap3xFopop5nYTXnCqcejjVTnDMiGApMyjmXOtugm+CboDNawiKKaS5Vk0Xnu5BAYHCC5pnUGNx2Gsv5sW4YkPmzGft2VhGBMu9DN7r3OfrFBBRrOY5Tg5yjGsXn+n8Z7Tb0FhmBALgf//xN+5q//24+7n34vVveTte8NKXHdk5iIiIiIiIiIiIiIiIiG4GDI4RERHRjM3a4WMX1/EXa6Nt97tjZYCeDZGk3Bjcc3zY+XxU1XhkVHYCR1YEqsCFUdFsCwE133m/VXvU3mPsPAbWNJWVQAhGWRHUXmFNCmd1J2wBBgIHK8BKbpvAl2I2DLfbCWC5EfStgQIoXI1KFQaKujXdLIW2PCYhLgCo42eHERgDusGwzmSxqfMKgKEF+nkGI4AosJxnyKzBZlkjh2ApDxWUzisK5+HVA2pwtapxtapxopd1vq/9WskzjK5cxiOf/YsDr/Wmf/WzuPu593a23XLrbVg9efLAaxMRERERERERERERERE9FTA4RkRERB2btcOD61t4xspgx3171mBgzdzPNqsaF0ZlZ5IVMJli1g6TVTGwBABF7XC1rGLwSpDbEItqr+MVcOoxrn0nFJZbgdcwUSs30pkOpqrw8VxePWpV1DGspqpwXuEmO3dvJq4nCJPJSq+ofQiNCSROHUPzpx0OSyGy9NlhmDdVrB0aE+mGyfLMomdC/WQugsyGWsbMGCxlFlZCsK3yPtRwGgMRQWYEK5lFvuA73s54/Qq2Lj4OALBGMLAGl0Rw+cHz+77vthe9/BWHFhLr2/kVnEREREREREREREREREQ3MwbHiIiIqOMwJksBwOfWt/DIVtmZJLbay7BR1jMTv2pVrBXV5KfXGPoK+1Uzkau6EwoDQg1iqlzMjDTVjLVXjGqHLedDeCz+KZw2YTQjEuoZMamiNCJNAKtzJgGWrIFAUfgQOEuTxtJVtq/W4fACY61LaO4vMwhVmaqQeP8Gk/CaAqhrh7ECIoItACdNCOQt57bZxwqa9yd6OXpWZp7xImeWeshEcPfqEB/9Hx/AL7zxh/DoIUwVW+Tu5957aKGxYW6Rmb0H44iIiIiIiIiIiIiIiIie7BgcIyIiokatiqI+eJnilaLCFzbHnW2V97g8rmCNwJqpQJIPU8S2at9MDNurlcxOXufhnzi1V2xUNcZuck8eQOknoTGJATEDgRXAaayuVIWVqallCNsyEcAJvPchoCXSTClLZzqqGVYpNGbiaDErEiszw7mNTEJkiTEC2wpHZUaQyeKwVGZ2HxoDgEwEzz6xjD/70O/jTf+Pb9nzPe3V69/y9kNb69zqcOediIiIiIiIiIiIiIiIiG5CDI4RERFRo/aHMxvrLzdnp5ZtVA6rvWzuOVycCua8n6m2nGd6n5XMhgAYgFP9HOtVDecVY+dQTJ3PzTm/kW7Qy2My0at9Lo3HqyhK51B7bSojUx1le99rwavCAvAisMCkbrNlOgK2XShsvH4FT1y9PBPu86ozDZ5ACJnddnIFX3gsw+u/9a/v8er35u7n3ovXv+XteMFLX3bgtYa5xbnVIY7380O4MiIiIiIiIiIiIiIiIqInHwbHiIiI6FDVXlH67tSyce1xtawXBtOchuCYV52pscxjgKlnDVKWaTnLYCTUUZ7o58jiZDAFsF7VAELQySnQN92ySacKq0AV31tjkAlQxSlkqiEM5qFoD1+zRqBeseUcvFeMnaJ9lwef07YzAWABZBICWwIgtxaV92FSGgBMPXsBwkS09H5BaOyLf/xh/P6//HGsPXT+aC5+D37kp38G99z7JZ1tt9x629x6yntPrmDYmja3G30rrKckIiIiIiIiIiIiIiKipzwGx4iIiOhQ1VNjqUrncaWs0LOLgzqLBp3lrcrErFUb2W+t1bNmbi2kV2CYWWzVrrVN476CNBMsax2sCMGy5nJkErRSVTgAxgPaOr6166FOGZu3XqqoNMZABMitgXTGnM2ZpobuxLH+dE0oQmjsv/yD7zj4RR+Sr/y/vXJuSGyek/2MITAiIiIiIiIiIiIiIiKifWBwjIiIiI7U2Hsc7+W4UlYz08SSOlZUpk8FYaLWvErF9rY0dQsImalaPbwCVkK4rPYepfPNuqqK2nuohv0zg+a8XhXOhyliXmNAKy7cTCFTwNowVe2oqykXrecV8OrRMwbqFV7CvtoJvIXnEoJmEmo8RdBf8Ex//1/++CFf/f7d/dx7dx0aG+aWoTEiIiIiIiIiIiIiIiKifWJwjIiIiPbkzmMD5DGs8/zTqzM1gaPaoXCxLlGA0RWPR0YFrsYKyaRnBWlWWIp2CYCekYV1igBw61IPgzhx7MxSDwrg8a0SV4oKY+9ROkXfGpTO47FxidpNqhs9wkSxFDUqPSY1jqqodRLY8gpU7TBWVMSKyqOuppx+Aum9jWG5WgFAOwmzUF1p0I5S5UYwzCyW8ww2LnKilyOLk8e2rly+Ieopk9e/5e273vfc6vAIr4SIiIiIiIiIiIiIiIjo5sbgGBER0U2g9h6FWzzzalzX2KgnUaeidrhS1jP7Vd6j8mG/sh24UoWLNYiLaiUTE6d95cbgiXGJC5tj+LkViq3pV4q5k7DaRIClzCIzgtwIVns5Kq+4MCqwXtZw6jF2ioE1qL1i5FynutHH+4AC2jqVxHCYixmsZjrZzPVO1jns6WLAbFDMohtOSxPQDEJ95vT+RiTsI5MyzswIrDEY5hZ5q6JSZHIPGxefOMzb2Le7n3svXv+Wt+MFL33ZjvsOc4tzq0Mc7+fX4MqIiIiIiIiIiIiIiIiIbk4MjhERET2JrRUVzq+PMKrc3M8f2yrxqbWNhZ/vxKviUlE3YbIkb9UDpulf8/zl5nju9p41nQlYToGlXJsJZIlTj6IO88huW+qhZy1O9XKMnMPFcYnLRYUrZQ2viiJWUI5rh7FzqL02lZLhXloLx9cS/+xmglgKlW0fb9ud6SeWMl3pZwagZy0EwNi5WKsZgnZpUlg/MxhaG4JiAmy1vmNBCJcZESxlFrf0c9w27MOpIjOCZ6wM0Ivf4ReurB7CHe3OG37tv6FnBHceWwIA3HN8iJ4xeNrZszh16tSu1uhbYT0lERERERERERERERER0SFgcIyIiOhJaq2o8PGLVxd+/thWiY8+fmXf64+dx+Wi2vfxlfeTysopBuhMxwIUtj2BDKFScqvWZrpWz1oYAOtVHeoaRTphrzRczHmP2neGjTVBseng136CYAcNj7UjT9JaTwBYhPsaxHCUV4V4A5EwJaxnTfOMcjHoWduE7yozfw6alVhvKcDVssbZYR+nB5O6z83BtZna9b3/5t/h9nPPwV3HlrCch3rT55853rwmIiIiIiIiIiIiIiIiomuLwTEiIqInqfPro20//9TaxoHWXztAaAwAqp06LXewVXdDZ0aAjcrhRC+HV0XlFJX3qL2Hh6KOU9Eq7+HnnHteaCzttdO0sbT/vNd70Q6KpQBZey0RCUEvkVgPGqa+iQDWmFipGY5wGu7ZWLOr+tC1osLWlTU8+sg6VlaHsDGA9vCDn93n3ezO2XPPwd/6xz+Gv/J/+b/i7LDfCYr17UEieERERERERERERERERER0EAyOERERPQlV3m9bPzl223++E6+AqsKaow/2rPayJj2VzucxCUgBQCaCW5d6gJYwEkJlV8oaG1WNsQsVlSmo1q6nbO4H3aDY9GdHIU0RS0zcKEAT2lIoRMMkMQHQNwYKReUVThUag2OAoKg9JB4nCPdZecUw235ilxXBQx/9EP7bT7wZFx88v697ee1Pvhdn7rxrZvttw15TeTnPqdtuw+qJk8hFZn6Xhrll5SQRERERERERERERERHRdcTgGBER0ZNQ6bYfMbWoInK3VLVTG9nWDgDlC/bZSXttK6FGsb2289qEqwDgeC9D7RUQQek9rlYOCsDEekuPcL0pZJUSW6q64zSuo5AmikkaMYYw9Sv9TPevCmi8XCOIk9PCvaT7wpxnnNbq2Z2DV5c//hH873///3Wg+zlz5124/dxzZrbfe2J53+HCc6vDA10TERERERERERERERERER0Mg2NEREQ0IzMydzpXbg1MTGX1Y2hpPCekVjgfgl6RR5qchSbg5RUQKJzXUN8oaMZ/1RombmUiWM4tevG8uRFcLurOuXxnMleY4pUuvo4/r0N2LJxTJ/WUXgFjAIFAm2sFoAqNz7RyDiKmdS9dKWBmjUHPCLJtgntGgIG1+M//21sP98aivjX7Co0Nc4tzq0Mc7+dHcFVEREREREREREREREREtFsMjhEREdGMk/0cl4pqZvupGPYpnIOq4tNrm3OPr7zHI6MCm5XDqHbwqk2VZG5S2KzG6UEPQAhE3brUQx6DSJVXGKCZvOVUcamoICKoY41jWrvyCq8Kp5MJY04n9ZRHUbaZ1twpkJbqMT3iBDIPeNE4LW0yeWzJCDwEMNLUUabjM/EQAIPMNtPZBIJhHt4/89gAg6nJYzY+t821y/uup9zJK59+Crcu9fd0TN8K6ymJiIiIiIiIiIiIiIiIbhAMjhEREVEjNwan+jmmB0nlNmzvGwPVEHxSAWo/vxJzo6pxuayayVkAICLIWjWNThVbzuNYL0NmBANrAYRQGBAmdNXqQxDMa5PWGtceI1eHmkfEiWNAc10pNHaU0l1J66dO/WwzaZvEY+PUMINQt9mzFqX3QAx8JV4VRgyMCHJjmiDdUmZgJUwuG1iDYTb/n3Rbly4eyv0eP3Nr87pvDc4O+7h1qY/l3B7K+kRERERERERERERERER07TE4RkREdJM6PZhM8JrnFU8/heO9SV1gz0ymQY1qh49fvAoAyM0kzJSL4FNrG7hc1jieZwvXXytqGKATLJqutEwTyCrncbmo8cRW2QSyKh8mjGkTIpvUXJZe4byHCKAK1F6hCJPG0nW2r8pgMvWrHfRKP9Nnu9E+ThDrNQGkXNu8pyHTfySExdLcLQVCaCzqW9Os4wFAFUYEy63nXXvFRl3DK/DYVoW+dTPnrbzi4Y2tXd7ZYs98zr340jtvBxC+//3UUxIRERERERERERERERHRjYfBMSIioptUbsKUqkXODgc4s9Sb+9lm5XC8N/vPhCtljS9sjMP6/fnruzj5y4g0P9uTxwBAodA4SexiUaFwHiu5bWopN6u6CY11jwOc93AKpEiaiLTGfWkTBgO6Ya55P9v77iTtb+KbdOcp8pUCaum1nzrYCuBjYKxdRzn9BAWTABxUmylkNm6qvWJUzwbF2iqvWCsqDA4h5PV9b337TBUmERERERERERERERERET35MThGRET0JFB7j8JNIk6j2s1M8Gort/nsIP5yc9x573VSLZlU3qP2Cq+tP0AnPJZyXqVzkw7HaFT7Zn+N+6pXiAhUfTOpLIWvJueJwbKpa05PQls/pfV6t8GxzlXGc2nc0A6NzQujSdpfFWrCTyMGmRE4H649HNudsOYxGywbu+4dzsuGbTmHE/0MGwsqLHfj7ufei9e/5e14wUtftu81iIiIiIiIiIiIiIiIiOjGxeAYERHRDWytqHB+fYRR1Q0LjZ3H+SujhcdV/vCDY7VqE0grnccjo2ImIFV5jytFjStlDSAEoMbOw6s2ga+kZwUOClGBEaBWoKgdrpYVKh/O5dEKXCG8SXcmvhUs2+a6Z0JcmIS7dpo61p5OZgWwrUlhNk5S85hUViomgbcUFkvb0zfoYq1l7cMzUQC1dzAiyK2ZCQS2p33dszrE4+OyeZ8Zg6+89Tj6rX0MFOfXt2BF8Mhg/kS5ttf+5Htx5s67cMfKoFnnlltvw+rJkzseS0RERERERERERERERERPXgyOERER3aDWigofv3j1el9Go47Br9J5XClrnOrnsK1xV5X3WCvqmVrKRTIxEEymho2qGh6hZtGpTiaHqXbHhKXN2Nu0sHnalZLtKWTt9+l1JtKpmJSYOFNMpoIJABWBxEBZc9mSPpus62MNZXMtAmTbNEue6OfoWemExG5b6mO1l3XCZWPnt60onXbmzrtw+7nn4Nknljvf5076dvf7EhEREREREREREREREdGNh8ExIiKiG8B0FSUAfPLSxsI6yqOYKLYdp4rCeVTeY70M4bBaw/ivVCu5VlQAwmSyWsP1pSrLNIkLCAEpKwbWAB4KA0HhFX0jqFw6Lpw3BbFSQis9oYPevY9rt9dpZ9OmI1GyICPlO/sItBWaawJpMlmzff0p2mUA5NagZwRmzomMCFZ7WScwlhuDU/28s+0g+tbsKTQ2zC2yPYTTiIiIiIiIiIiIiIiIiOjGw+AYERHRdbSoirL2ij9b27xOVzWxWTtcGBUo6hAa++Jm0dRQOgWKWEMZ3itK75GJoHCT4Fi7olLif0WAgbEovccwt0DlsJxn8KjhVOFVQ4hKgVI9tFVRedDQmC74uSg0Nm+bjdPB0rdmjaBnDErvAa9hsphOqjBzIzDxXD1jUHmP3BoIgKXMNhWYS5nthMcMwqSx21f66BuD25cHGNhibsDsIM4O+3va/9zq8FDPT0RERERERERERERERETXHoNjRERE18l2VZT1LuseD6K3w4SpzdrhwfWtzraUAfOq2KzqJsCUJpIBgExNzpo+jYhgKbPoW4NaFQI0+7dnWAnCc1A9eCXlPNL6kyaQAbs/l0gIwImEiV3NeiJQBYyE8JtBmBDm070agYVBbkyY9NV6VpmRmfd3HBtgyVoAwEpm8fhUaCzfw6SweZ6+3Mdybne17zC3OLc6xPF+fqBzEhEREREREREREREREdH1x+AYERHRdXJ+fXTdzt23ZseqwQujYuFnqVoyKWN1Zs8aLOe2CYCFaWSTGWEpIJbF0NUiRgS1KqwReKdNuCsFvNq1kvsNlU1PHJvWvrxMBP3MoGcMlqzByX6GY3mOv9wcQwCs9ELwaqN02HQOCsWo8siNgRFgkJkmdLecZShcjeU8h516Bif6ObIUootTzFJorG8NzFRIrJ91g2cAcO+J5ea1XRns+BxeeOY47jtzfMf9+lZYT0lERERERERERERERER0E2FwjIiI6DqovJ+pp7yWdqomrL1HUc8vhVQAqpPolo9TwYAwMcxgeuLYbEJsKds+gCQiqJ2HqMLHmkpFN+R1GFPIFq2XzpWuvFYFag9vQo3mILMofImNOnyHVazW9Ol6Ndy3EWAY6yd9PENmBJU3sDL7bDIR2FY47GR/8k+1ed/ZvG2DzGJgw/Pt252DXsPc7nriGBERERERERERERERERHdPBgcIyIiug5Kd/RVlGkSlVeFi8munjW4ddBDrYonxiVG9fzA0MVxicp3g2OV93CqMTQ2X5gKpnHSWAhcudb+AkFuBLVXFN5hy3l457DpfQireQfnPca1otJJjWRy9E9tco55A9EEaVqbNPeYjgoBN43hsfAnN7bZphoCcfPieBqPrzWk5DIjONnPQ12n97h1qY9aFaPSofIefWtw27APK4Kx6644dtcvkEhERERERERERERERERETx4MjhERET1J3bEyQG/BRCkjwEZZ45FR2QS3au/xxLjCQ1e3AACfWx8hX1A9WHk/U1XpvOJqVc/s66AofQiUeVX0xGDL+eZ9FTsacxPqJ0eVx8WihHqgHXG6Et85HH1ATOb8NAghNTf1GRBCeLkR5HZSDXm8l2O9quF8mE3mABROUcQgl1OgcA7GT1YaWAMDxXJu8azVIUSAK0WNOj6jW5d6GFiD00s9XC4qOB+exaNbBbAVr8UIvAIXNhdXiQ52MWmMiIiIiIiIiIiIiIiIiJ7aGBwjIiJ6kupZszAgdGaph99ZuwQAyI1B4RweH1eHfg1eFUXtmylkHsDY1xCE6VpACLFZEThV1N6jVAV0MklM4h8IED86Us350msJoTEIIL77ORA+s0aa+wFCaMx5ReW0qYOsnAdalZXN8VO1nVYk1lgKrlY1rJnUUw4zC6+KS+MKuTHI2CBJREREREREREREREREREeEwTEiIqKbyDC3OLc6xCcubXS2PzGu4mSsiTAJbF5xYvgs1C1OtjkfaicdFM4raqMovQ8VjSk45mI9YwpOxSBV5T0UwDhWdHZLHuNVXIPQ2DwSr2FhaE1iZWbcITcGtfdYLytYESiArdqFNTB5FoowiaxbaRkmkQGKy0U1U4dZ+VAhenbYP8xbJCIiIiIiIiIiIiIiIiKaweAYERHRDerOY4OFVZIA8PzTqxi2RlL1rSAzBpX3GNWhcLFwDk+MKzwyml9rmCZdtZXOY7N2TX1iUnnFxXGFce3gYsgqBcK8opk6VtUevcyidh6lV1Tew0OhsXYx/bkeBIBtvTE6uZ5cBGKAMt739OQxAKgUuFJVqLzDqPaofIiHtZ+VqsLHNUvnYeN3KCIYOw+gjnWXZWcaWTLvOyEiIiIiIiIiIiIiIiIiOmwMjhEREd2gcrO4ihIItYbL+WyXYRmnehXO4dGtcmbS2HZK53GlrGe2O1VsVnUTDmubt3zlPep2XSMEXq7TSDHMVlOKxF7M+FoA5EbgEao12yy6AbK+MZ0t7WeiqnALriFrLdLP5n+vKUh2kPBYPieMRkREREREREREREREREQ0jcExIiKiJwmnGuslgzRVbNqodqi8x6ViNgC2HQWwXtZw3s8UWG5WDpWGqsp29qs9aSytUXk/mS6mGqsZ47649tkxmfoJAIhTwUQBQaqWjK/agbcYwlJVGCMwEq5/+jkk84o/RQSZhLVEBMt5NhNOA4DMCESA3BqYmVln29u8soYrjz+GnhF8/thSs/3hBz+7p3WIiIiIiIiIiIiIiIiI6KmDwTEiIqIb3GbtcGFUoKhnY0nzJpKNncfn1rdQ+XkxplmVV2xUNUaVw+WimgqGKWoNk8ja07QsgNJ7VDFkpapNMKxsHx9/Cq7PsLHubLDw2kjcppOfgyxEtbxXiIYdw2cKawROAe8BlRAYMyJYijWhCsW49lANz6TtWG6bulERQCCwMv9ZrMTpcaf6+a7v788+/Pv41X/6I7hw/i92fQwREREREREREREREREREcDgGBER0ZGrvUfhulGhUe0wdouDXaXz6FmDzdrhwfWtPZ/Tz6mU1DhlqzmHV5SVw1pZwXnFyLlO8Ek1Tg8D4LzGCWIhAJWmdfm0PZ13wfVcp4bKppoSCCEyiMAgTT5TZFYwsBZGQoDOGMC2poxZI/G+Q3BOxEDVw2MS2NPmP5iZE9aO9amGcyrC95MCZZkRrOQWwzzDqX4eqzB39mcf/n2883/923t4GkREREREREREREREREREEwyOERERHZG1osL59RFG1Wyl5Nh5nL8y2vb4e44PcWFUHPg6Su+xUdVILZdeFZV6PL5VYqt2qBWwMfHkWlWYqY4xBJ1aC8bXtZt8fr2micXhYM1Pg254rWfiZLBWoqtvDArnASiGmYURwdh55AbwKqhrB4cwPq1y4Wda06iH8wojO09zywSQ2Em5FM+TCXC8nyMTwW3DPqyE+ktrZKae8o6VAXpzJso9//QqAODl3/pju3tQRERERERERERERERERERzMDhGRER0BNaKCh+/ePVAazjVufWUe1E6j/WyGxrbqGpUPky8crGuMUWWJE3bSu9VMWd4WTNJ62BXtz/peo3ECWjxOmyrgtLHaxxkFpnpBrIyI6h8WMmINBPJgBCyc6012nY3B6x7HhPPkZvw80Q/R24Ety310Z8TCmvrWTNTRfqltxzD8X6Oixcv4s8+9ak9XhERERERERERERERERER0QSDY0REREfg/Pr208R2o/a7m+PlvKJqpbsK51F5hfOK9bJGuyWz8IrCaaxmDPWLAKCtekYg1S8qFl1CClVdrwpKIAS50iw3I3NqIgWdUFiSrllV4TQkxJwqShemic2771BzGV7PWbIjhdrCNLGwdyaC1X6OYWZDHeUOobG29cuXsXnpcdy5MsDDl3M8DOCTn/zkro/fydmzZw9tLSIiIiIiIiIiIiIiIiJ68mBwjIiI6JBV3s+tpzxso6rGwxt1rF3snv/RUYEnxiU24nV4VRReMaoqVF4hImFSVwqKxSV8KziWsmhzWiqPXDucpVPbUyWliMBCYUSa6wZCaAvx87ROz5qmxtL7MKZMxEBEoJit3DSyYMKYAEvZ7Cd9a5rziQgMgOO9DMf7OYwAZ4cDDKzBnceWdh0a2/jkH+F7vu978elP/emu9t+P+++/H6dOnTqy9YmIiIiIiIiIiIiIiIjoxsXgGBER0SEr3dHHqwrn8JebRTPRap50FV4VY+fh4yQtj9Y/AOLxMv1eFZoCWBrW8lgc6DoK6Vzaem3iJZr42qVwWPs5qDafo3UcAIxrBwXQs4JMDKxIU2vZVHa2nolMPV8rgGlNEktyYzrbljOLk4Me8phiG2QGBoKV3MJu850lf/R7H8Drv/Wv77jfQT3wwANHfg4iIiIiIiIiIiIiIiIiujExOEZERPQkdLVyOD2wAEIwzLUmblXeo/baTOEqWr2LijmTtFSbqkq01mm9vG7VlIumjS26llATGYNfIiHwpgoPoHThuSzlFkNrUXnffKYL1uuui22DeojnXsktTvTzJjSW2xAa62dmJjS2fvkyLj726Mw6Rx0au//++/HAAw/gla985ZGeh4iIiIiIiIiIiIiIiIhuXAyOERERPck4VazkFuPaoWdNJzQWCCCAFcFybmOALEzWGteumaiVQlXhTfjp48vtglSyzWeHwSD+A0WAVuYNAsAawIqBCJAbgUDQswLVyTQwr4qt2sEp0BNgpZfjRJ5hvaqxVTss5SFwV8U0nEI7N2QBWCPoiTT1k/3MNEPNlrNsJkB2om+RG4PMGExHy071cwDA2WG/2fZHv/cBvPOHfwAP/vmfHfBpLfarv/qruP/++2e2nz17lvWURERERERERERERERERMTgGBER0ZNJ3xqc6uf43PoIj41LnB32kZvuDDHfzAfrBq+al3HC2CQ0hqaWsh0aa1dEtqV1jjRAJoA1BiZOBGttRhYnedlYGZkZA4tJrWSlCg8fw2UGS5nBILfY8h6lV+SpnrKZshaydO1qSgFgzKSS0rbqKXMzW1W5ZDNMDyPL43e12stwdtjHchYCa9eqhvJVr3oVA2JEREREREREREREREREtBCDY0RERNfBvSeWd9znOSeW0beTUFguAmsEY+dxuaxn9i+8x6WiwrhyWCsqbFQOXhVjF6JXTjVUWAJQr00wTAGIdgNh7Z/TdZHXhMw/l5jZrQbSCW1V8X7DhDIDaa1kJIbDZqa07WwpszjRy3B2uY9zx5c72+8/tdLZt2dCoC39bPt/v/Ef7/nce3X//fczNEZERERERERERERERERE22JwjIiI6DoYZBYDa7bdZ7hgn9orKu872wrv8eio2N3JWyGxFB5rZ6lM3O6nXgPzw2SHSeIfuyCiZuds61vTPI92/WZmBEtZ9/kN7LwVdscK0LMG955caeonAeBLbzmG463327l48SI+/ak/3fc17NYDDzxw5OcgIiIiIiIiIiIiIiIioic3BseIiIgOqPYehZtEqUa1a6Z8TUtTvy6Py4X7JGPnwjFeUcUwlPeKy0WFce3hobhS1siNwePjAnXspUz71xqmirl0bLzEdNZ2aKxNp/aZdmT1lFEaKqZNlaZCRJAiYE3FpphQG2kE3sVJalBAQp1kmNYmqLzCqcfAGoydh1OFU23W8bu8o0wEtw57ON4L/3wa5hbnVoe7Do0BwCOPPLLrfffj/vvvxwMPPIBXvvKVR3oeIiIiIiIiIiIiIiIiInryY3CMiIhon9aKCufXRxhVrrN97DzOXxl1tqUayVSj+Ln1EXKz/cSxzcrhclGhcB6Fc7hU1NisalwuKjy2VQIA/nJjDBHBVt29htwIChciUaWbTOMCWvWUCCGtzlXE9xqnkomgkxSbnlR2WExczwqwZA36mYGREHZrqidFmglsAmC5l2PZGmRi4DVG3VRhNATfaq/YrOrmOtMz8jE0VvpuYCw3Bnm850FmsJxlsDFVd2qQ4RnLS/iy08fwFbeeQN/OVlBeS5/4xCdmtp09e5b1lERERERERERERERERES0awyOERER7cNaUeHjF6/uat891UhG49rhCxtbyI1B4Rwe3SpROo8rZY1au4En1dmJWSICIwKvChPDT2nC1ty6ydhVqQqIAURjsAxAO5LWzpHtZfLYoorLVE2ZpowZATIrGGZZ65rDhwNrmnsBQsisVsVybrCkttl/7BSV8zP77+YaRQAjAgtBbqQJjuVxutl9J1ewnO+/7vIwvP/978f9999/Xa+BiIiIiIiIiIiIiIiIiJ78GBwjIiLah/Pro513ii4V1a739bFG8fFxiVsGoQLxsa0StVesl3WsWNz+eABQH6ZqaXtba78UAEuTxaDa1FP6uE3j63ah5n5rKhdNKJP2DnGDQFo1kiEE1zcCkcm9GBGUzsNkFqXzKL2Pk8TCZLHMSAjYpf1rbSav+Xg613qQ7Wls82RGcOexJaz2dl9LeenSJVy4cKGz7TOf+cyuj5/GGkoiIiIiIiIiIiIiIiIiOkwMjhEREe1R5f1MPeUiDtpULW5nXDtcLmtU3sMrcHEcwmIigovjEl4VG9WkarF7DqD02pk8lpkYFotBtPSRtkJh7T9ADGkBcDoJeu03KDZteq00aQzoVmVaEeTWYCm3MBAYCdczrl3nvvuZgXOKq6XDFdThc4QwWNUOhMVAnEEIoAFhqtm8gFjPGgwyCwNgOc9wspcjM2Fy29OGfQyz3U0ae//734/Xve51+NM//dNd7T/t13/913Hu3LnONtZQEhEREREREREREREREdFhY3CMiIhoG7X3KFw3PjWqHcbbhMHK1md+u/Fg0bh2eGxcNu/bAbAqTtKqvUetcWJWDIOFzxWl93B+9no0Xku6Bo3Tw9LErXl06rPDCo4B3bBWJzTW1FQKetYgF0EeqzadV4xr13xuRLCSGfQygwtViaJ26FsDDzQBPW2mlU0CcxCZPNe4zrzry+J2K4A1AmvS+91VXr7//e/HV3/1V+9q30XOnTvHKkoiIiIiIiIiIiIiIiIiOnIMjhEREc2xVlQ4vz6aO1ls7DzOX9l9VeVOLpd1533pPbZqh0sIwa/LRQWnk0laqopaARGgjpWUrpkoFiZsuaKCj5WPTidBrXmhse1CZPs1HRKzMpksliJuVqTZT0RgBRhkFrct9XHHsT5yY/DoqMQJn+opAYViVHs8sVVhs3Lxfj0K58M0NVWkb6yT2dP4wACIhuuZNi9MBgC5MQs/m/a6171uV/sREREREREREREREREREV1vDI4RERFNWSsqfPzi1WtyrhAIm0wLq5zHlbJGzxrUXjGq3cIAl5l634SmYnjMy6Sasl0VeZgVlPNIvLY0vSzVRKbrTZO/BJP6SCtpoliojBxmGYxIZ+pX5T2uFKGy0murmlMBnUnDLb5DsyAD1rPTTzQ41c93uOPg4sWL+66nJCIiIiIiIiIiIiIiIiK61p5SwbEvfOEL+N3f/V184hOfwGc+8xk88sgj2NzcRFEUGA6HWFlZwR133IF77rkHX/7lX46Xv/zlOHHixPW+bDqgxx57DL/7u7+LP/mTP8FnPvMZfPGLX8TGxgbG4zEGgwFWVlZw++2349y5c/iyL/syvOIVr8Ctt956vS+biK6j8+uHN02sTTXUTAJowmKV93Ct0VgbtcOJXo71ssLVum5CUp2glAgsdGYKlm/9bEJa867j8G5prulpYwIAqosDcPEAH1NuLgbmAHSezZWibmo6F8fptr8uM3V9QAivZTKpqUz61uD0oId+DJTlRtCfN6oseuSRR/Z8TfOcPXv2UNYhIiIiIiIiIiIiIiIiItrOTR8cK8sSv/mbv4lf+IVf2HYKyNWrV3H16lVcuHABH/7wh/Erv/IrsNbi5S9/Ob79278dL33pS6/hVR+Nuq4P7f+pvVd5nuO22267Zufz3uO3f/u38fM///P4yEc+MglbTNnc3MTm5iYeffRR/PEf/zH+w3/4DxARvOhFL8K3fdu34VWvehWMmT+BhohuTpX3c+sp9+rOYwPkxqBwHmPnsRbrJue5ZamHLE7XOu08Lo5LeI1Vi6leEQJthcVya5oAVG5tU9UIhErLXIDSKWoTxo5Zkabi8qh0AmNxrFnrFhCubhJss0a6IS4R1N7jSlUh25JOkMsDnecnEORGYESQW5lMbRMBvEIFMJis3z7XsTyDMem5xkCZCFZy26x/21IfT18eNO/7mcGxXobsiP93wv33349Tp04d6TmIiIiIiIiIiIiIiIiIiICbPDj2gQ98AG9+85vx0EMP7et45xx+53d+B7/zO7+Dl7zkJXjjG9+Iu++++5Cv8tp55JFH8DVf8zXX5dx33303fuu3fuuanOtjH/sY3vSmN+GTn/zkvo5XVfzhH/4h/vAP/xD3338/3vSmN+FLv/RLD/kqiehGVbrDSVblxmBgDUaVw+WiAoCmchEABtZOQmBx/3Ed9tXYLWkkhL6MCPzUhLEUdgIAm2ogBVANETMRgTWA9wqNKa5UWXktpPO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",
      "text/plain": [
       "<Figure size 1200x535.887 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 559,
       "width": 1223
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pc = az.plot_ppc_dist(posterior_predictive_oos_regression_train, kind=\"ecdf\")\n",
    "pc.get_viz(\"plot\", \"y\").set_xlim(0, 1_000);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c45b9415",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x535.887 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 559,
       "width": 1223
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pc = az.plot_ppc_dist(posterior_predictive_oos_regression_test, kind=\"ecdf\")\n",
    "pc.get_viz(\"plot\", \"y\").set_xlim(0, 1_000);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a487e63",
   "metadata": {},
   "source": [
    "Yay! The results look quite reasonable 🙂!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ddec44d6",
   "metadata": {},
   "source": [
    "#### Time Series\n",
    "\n",
    "We could be tempted to view the same data from a *time series* perspective using the `hour` feature. From this point of view, we need to make sure we do not shuffle the data so that we do not leak information. Thus, we define the train-test split using the `hour` feature.\n",
    "\n",
    "```python\n",
    "train_test_hour_split = 19\n",
    "\n",
    "train_bikes = bikes.query(\"hour <= @train_test_hour_split\")\n",
    "test_bikes = bikes.query(\"hour > @train_test_hour_split\")\n",
    "\n",
    "X_train = train_bikes[features]\n",
    "Y_train = train_bikes[\"count\"]\n",
    "\n",
    "X_test = test_bikes[features]\n",
    "Y_test = test_bikes[\"count\"]\n",
    "```\n",
    "\n",
    "The problem with this approach is that BART does not have an explicit mechanism to model data outside the range of the training data. Because trees are built using only the training data. For values outside the training data, the trees will just use the closest value in the training data. This means that BART will not be able to extrapolate trends or patterns outside the training data.\n",
    "\n",
    "`pymc_bart.BART` has a `response` argument by default it's set to `constant`, this means each leaf node returns a scalar (or constant) value. It can also be set to `linear` and then each node will return a `linear` term. For some problems this can help mitigate the extrapolation issue, but it may be of not help for others. So in general we should not used BART for time series forecasting if there is a trend component. In this case it is better to detrend the data first, model the remainder with BART and model the trend with a different model."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "219cde48-b626-4325-afc0-2a2881fc5683",
   "metadata": {},
   "source": [
    "## Authors\n",
    "* Authored by Osvaldo Martin in Dec, 2021 ([pymc-examples#259](https://github.com/pymc-devs/pymc-examples/pull/259))\n",
    "* Updated by Osvaldo Martin in May, 2022  ([pymc-examples#323](https://github.com/pymc-devs/pymc-examples/pull/323))\n",
    "* Updated by Osvaldo Martin in Sep, 2022\n",
    "* Updated by Osvaldo Martin in Nov, 2022\n",
    "* Juan Orduz added out-of-sample section in Jan, 2023\n",
    "* Updated by Osvaldo Martin in Mar, 2023\n",
    "* Updated by Osvaldo Martin in Nov, 2023\n",
    "* Updated by Osvaldo Martin in Dec, 2024\n",
    "* Updated by Osvaldo Martin in Dec, 2025\n",
    "* Rerun by Osvaldo Martin in Apr, 2026"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c184bc8",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    ":::{bibliography}\n",
    ":filter: docname in docnames\n",
    "\n",
    "martin2021bayesian\n",
    "quiroga2022bart\n",
    ":::"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c557ed8",
   "metadata": {},
   "source": [
    "## Watermark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "608086f2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last updated: Sat, 25 Apr 2026\n",
      "\n",
      "Python implementation: CPython\n",
      "Python version       : 3.14.4\n",
      "IPython version      : 9.12.0\n",
      "\n",
      "arviz     : 1.1.0\n",
      "matplotlib: 3.10.8\n",
      "numpy     : 2.4.4\n",
      "pandas    : 3.0.2\n",
      "pymc      : 5.28.0+58.gf58491a3\n",
      "pymc_bart : 0.11.0\n",
      "sklearn   : 1.8.0\n",
      "\n",
      "Watermark: 2.6.0\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -n -u -v -iv -w"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b02674f-26ad-4c07-bf60-eb8edd1c520b",
   "metadata": {},
   "source": [
    ":::{include} ../page_footer.md\n",
    ":::"
   ]
  }
 ],
 "metadata": {
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   "formats": "ipynb,md"
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   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.14.4"
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