{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quickstart\n",
    "\n",
    "Follow the steps below to get started with ProbNum and learn about its basic functionality."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "# Make inline plots vector graphics instead of raster graphics\n",
    "%matplotlib inline\n",
    "from IPython.display import set_matplotlib_formats\n",
    "set_matplotlib_formats('pdf', 'svg')\n",
    "\n",
    "# Plotting\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import TwoSlopeNorm \n",
    "plt.style.use('../probnum.mplstyle')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Linear solvers: a numerical method\n",
    "\n",
    "ProbNum provides tools for solving numerical problems. In this tutorial, we look at the specific example of a solver for a *linear system*. The linear system is defined as $A x_* = b$, where $A\\in\\mathbb{R}^{d\\times d}$ is a known square matrix, $b\\in\\mathbb{R}^d$ is a known vector, and $x_*\\in\\mathbb{R}^d$ is the unknown solution of the linear system. A linear solver attempts to estimate the unknown $x_*$ while being provided $A$ and $b$.\n",
    "\n",
    "We will first see, how this is done with the `numpy.linalg.solve` solver, and later compare it to the ProbNum solver."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-0.12366738  1.28358209 -0.63965885]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# Define the linear system Ax=b by defining the matrix A and vector b.\n",
    "A = np.array([[7.5, 2.0, 1.0],\n",
    "              [2.0, 2.0, 0.5],\n",
    "              [1.0, 0.5, 5.5]])\n",
    "b = np.array([1., 2., -3.])\n",
    "\n",
    "# Solve for x using NumPy\n",
    "x = np.linalg.solve(A, b)\n",
    "print(x)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we can do the exact same procedure with ProbNum, by using the `probnum.linalg.problinsolve` solver."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-0.12366738  1.28358209 -0.63965885]\n"
     ]
    }
   ],
   "source": [
    "import probnum as pn\n",
    "\n",
    "# Solve for x using ProbNum\n",
    "x_rv, _, _, _ = pn.linalg.problinsolve(A, b)\n",
    "print(x_rv.mean)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We observe, that the NumPy solver and the ProbNum solver return the exact same solution. That is encouraging! But what's the point of the ProbNum solver then? You may have noticed, that we called the return object `x_rv` instead of `x` for the ProbNum solver. This indicates that the ProbNum solver returns a *random variable* over the solution rather than simply a point estimate. In this particular case, the solution `x_rv` is a [multivariate Gaussian random variable](https://en.wikipedia.org/wiki/Multivariate_normal_distribution) of dimension $d=3$ (Gaussian distributions are also called \"Normal\")."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Normal with shape=(3,), dtype=float64>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_rv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The mean of the normal distribution equals the best guess for the solution of the linear system, and the covariance matrix provides a measure for how certain the solver is about the solution. We can see below, that the algorithm is very certain about the solution as the covariance matrix is virtually zero. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.12366738,  1.28358209, -0.63965885])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# mean defines best guess for the solution x\n",
    "x_rv.mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 2.25574545e-32,  1.39629921e-33,  8.45001763e-33],\n",
       "       [-9.53335322e-33,  4.65112082e-32,  3.57952136e-33],\n",
       "       [ 1.94650580e-32,  3.57952136e-33, -1.84681917e-33]])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# covariance matrix provied a measure of uncertainty\n",
    "x_rv.cov.todense()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So what's the deal? In the above instance, we ran the ProbNum solver to full convergence which is why it returned the exact same solution as the NumPy solver. But what if we cannot afford to run the algorithm to full convergence? Many applications in practice use linear systems which are so large, that running to convergence simply takes too long even on large-scale hardware. Here, the ProbNum solver provides *additional functionality* that we will have a closer look at now."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Trading-off precision with computational cost\n",
    "\n",
    "Instead of running all iterations of the solver, we will now attempt to run the solver for only 2 steps. This is indicated by the flag `maxiter=2`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Solve with limited computational budget\n",
    "x_rv, _, _, _ = pn.linalg.problinsolve(A, b, maxiter=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.20110737,  1.54434494, -0.64216837])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# mean defines best guess for the solution x\n",
    "x_rv.mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 2.23355410e-01, -7.52102244e-01,  7.23806730e-03],\n",
       "       [-7.52102244e-01,  2.53254571e+00, -2.43726653e-02],\n",
       "       [ 7.23806730e-03, -2.43726653e-02,  2.34557194e-04]])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# covariance matrix provies a measure of uncertainty\n",
    "x_rv.cov.todense()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can already observe that the best guess for the solution (mean) has slightly changed as we did not compute the exact solution anymore. Therefore, the covariance matrix contains larger values than before, accounting for the uncertainty arising from the limited number of iterations we performed. In order to interpret the numbers in the covariance matrix properly, we will now sample from the normal distribution provided through `x_rv`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[-3.64432161e-01  2.09430673e+00 -6.47461076e-01]\n",
      " [ 4.14771147e-01 -5.29496095e-01 -6.22210172e-01]\n",
      " [ 5.26593690e-02  6.89838958e-01 -6.33944789e-01]\n",
      " [-3.40115835e-01  2.01242664e+00 -6.46673088e-01]\n",
      " [ 1.46944449e-01  3.72353819e-01 -6.30889389e-01]\n",
      " [-4.84125041e-01  2.49734725e+00 -6.51339858e-01]\n",
      " [ 1.68426413e-01  3.00017845e-01 -6.30193244e-01]\n",
      " [-7.08560800e-02  1.10575120e+00 -6.37947429e-01]\n",
      " [ 1.08020135e+00 -2.77019200e+00 -6.00646234e-01]\n",
      " [-1.57810658e-03  8.72472218e-01 -6.35702415e-01]]\n"
     ]
    }
   ],
   "source": [
    "# Sample from solution distribution \n",
    "rng = np.random.default_rng(seed=1)\n",
    "n_samples = 10\n",
    "x_samples = x_rv.sample(rng=rng, size=n_samples)\n",
    "print(x_samples)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each sample (row) can be seen as a potential solution to the linear system. We observe that the last entry (third column) of the solution does not vary much across samples, which indicates that the solver is fairly certain about its value, while the second entry (middle column) varies more, indicating that the solver is less certain about its value. This is valuable information in case the solution for $x$ is used in a downstream operation.\n",
    "\n",
    "Instead of using samples, we can also use the covariance matrix directly to get a numerical representation of the uncertainty. For this we retrieve the *marginal standard deviation* `x_rv.std` of the best guess for the solution. \n",
    "The marginal standard deviations correspond to the classic standard error of the random variable; though the standard error does not capture the off diagonal element of the covariance matrix it is a convenient way to summarize the variability of each individual element of the random variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "true solution: [-0.12366738  1.28358209 -0.63965885].\n",
      "best guess for solution: [-0.20110737  1.54434494 -0.64216837].\n",
      "marginal standard deviations: [0.47260492 1.59139741 0.01531526].\n",
      "\n",
      "The marginal solution of element 0 is -0.20 with a 95% credible interval pm 0.95.\n",
      "The marginal solution of element 1 is 1.54 with a 95% credible interval pm 3.18.\n",
      "The marginal solution of element 2 is -0.64 with a 95% credible interval pm 0.03.\n"
     ]
    }
   ],
   "source": [
    "print(f\"true solution: {x}.\")\n",
    "print(f\"best guess for solution: {x_rv.mean}.\")\n",
    "print(f\"marginal standard deviations: {x_rv.std}.\\n\")\n",
    "\n",
    "for i in range(3):\n",
    "    print(f\"The marginal solution of element {i} is {x_rv.mean[i]:.2f} with a 95% credible interval pm {2 * x_rv.std[i]:.2f}.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We again observe that the algorithm is most certain about the last component (indexed 2), and less certain about the others. For completeness, we attempt a visual representation of the best guess, the credible intervals as well as the first 4 samples:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false,
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7ff9747e9310>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/pdf": 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   "source": [
    "# collect true solution, best guess, std, and 4 samples for plotting\n",
    "rvdict = {\"$x_*$\" : x,                             # true solution\n",
    "          \"$\\mathbb{E}(\\mathsf{x})$\" : x_rv.mean,  # best guess\n",
    "          \"$std(\\mathsf{x})$\" : x_rv.std,          # marginal standard deviations\n",
    "          \"$\\mathsf{x}_1$\" : x_samples[0],         # sample No. 0\n",
    "          \"$\\mathsf{x}_2$\" : x_samples[1],         # sample No. 1\n",
    "          \"$\\mathsf{x}_3$\" : x_samples[2],         # sample No. 2\n",
    "          \"$\\mathsf{x}_4$\" : x_samples[3]          # sample No. 3\n",
    "         }\n",
    "\n",
    "# retrieve min and max values of all entries for plotting purposes\n",
    "vmin = np.min([np.min(mat) for mat in list(rvdict.values())])\n",
    "vmax = np.max([np.max(mat) for mat in list(rvdict.values())])\n",
    "\n",
    "# normalize diverging colobar, such that it is centered at zero\n",
    "norm = TwoSlopeNorm(vmin=vmin, vcenter=0, vmax=vmax)\n",
    "\n",
    "fig, axes = plt.subplots(nrows=1, ncols=2 + 4 + 1, figsize=(8, 2.5), sharey=True)\n",
    "for i, (title, rv) in enumerate(rvdict.items()):\n",
    "    ax=axes[i].imshow(rv[:, np.newaxis], vmin=vmin, vmax=vmax, cmap='bwr', norm=norm)\n",
    "    #axes[i].set_axis_off()\n",
    "    axes[i].set_xticks([])\n",
    "    axes[i].set_yticks([])\n",
    "    axes[i].title.set_text(title)\n",
    "plt.tight_layout()\n",
    "plt.colorbar(ax, ax=axes[i], pad=0.2)\n"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Encoding Prior Knowledge\n",
    "\n",
    "Apart from trading-off precision with computational cost, the ProbNum method has a second *additional feature* which is the ability to encode prior knowledge about the linear system at hand. It is known that encoding prior knowledge leads to faster convergence to the true solution [1]. In this particular case, the prior knowledge is an approximation to the inverse of the matrix $A$, called `Ainv_approx` $\\approx A^{-1}$. Such knowledge is sometimes available when consecutive, similar linear systems need to be solved, e.g., in optimization or as covariance matrices. Using a related solution will help find the solution to the current linear system faster, with less cost, and/or with a higher precision. The prior on the inverse plays a similar role to the preconditioner for classic linear solvers.\n",
    "\n",
    "Let us first define the approximate inverse of $A$:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1.125  0.02   0.0275]\n",
      " [0.0325 1.025  0.01  ]\n",
      " [0.0275 0.005  1.07  ]]\n"
     ]
    }
   ],
   "source": [
    "# Approximate inverse of A\n",
    "Ainv_approx = np.array([[ 0.2  , -0.18, -0.015],\n",
    "                        [-0.18 ,  0.7 , -0.03 ],\n",
    "                        [-0.015, -0.03,  0.20 ]])\n",
    "print(A @ Ainv_approx)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that $A^{-1}$ and `Ainv_approx` are not completely identical, otherwise the output above would return the identity matrix $I$.\n",
    "\n",
    "As a second piece of prior information, we consider the knowledge that $A$ and $A^{-1}$ are symmetric matrices which can be seen from the definition of $A$. Symmetric matrices are a common occurrence when solving linear systems, for example in linear regression, or Gaussian process regression.\n",
    "\n",
    "\n",
    "In the case of the ProbNum solver, encoding both pieces of prior knowledge (symmetry of $A$ and $A^{-1}$ + approximate value of $A^{-1}$) is achieved by specifying a prior distribution on $A$ and $A^{-1}$:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from probnum import randvars, linops\n",
    "\n",
    "# prior distribution on A\n",
    "A0 = randvars.Normal(\n",
    "    mean=A, cov=linops.SymmetricKronecker(10 ** -6 * linops.Identity(A.shape[0]))\n",
    ")\n",
    "\n",
    "# prior distribution on A^{-1}\n",
    "Ainv0 = randvars.Normal(\n",
    "    mean=Ainv_approx, cov=linops.SymmetricKronecker(0.1 * linops.Identity(A.shape[0]))\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The random variables `A0` and `Ainv0` define symmetric [matrix-variate normal distributions](https://en.wikipedia.org/wiki/Matrix_normal_distribution) as priors [1] whose samples are symmetric matrices with mean `A` and `Ainv_approx` respectively. The covariance of `A0` is chosen very small to concentrate the prior, as $A$ is known.\n",
    "\n",
    "We can now pass this prior information to the ProbNum solver, which again runs with a limited budget of `maxiter=2`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Solve linear system with limited computational budget and prior knowledge\n",
    "x_rv, _, _, _ = pn.linalg.problinsolve(A, b, A0=A0, Ainv0=Ainv0, maxiter=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.12366124,  1.28360716, -0.6396483 ])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# mean defines best guess for the solution x\n",
    "x_rv.mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.00037817, 0.0015451 , 0.00064998],\n",
       "       [0.0015451 , 0.00631279, 0.00265563],\n",
       "       [0.00064998, 0.00265563, 0.00111716]])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# covariance matrix provies a measure of uncertainty\n",
    "x_rv.cov.todense()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We observe that the best guess for the solution (mean), even after 2 iterations only, is virtually identical to the true solution and the entries in the covariance matrix are smaller as well, indicating that the probabilistic solver is confident about the solution. \n",
    "\n",
    "Analogously to above, we illustrate the uncertainty about the solution by sampling from the distribution of the solution `x_rv`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[-0.1303817   1.25614944 -0.65119906]\n",
      " [-0.09831919  1.38714701 -0.59609174]\n",
      " [-0.1132193   1.32626975 -0.62170124]\n",
      " [-0.12938113  1.26023743 -0.64947935]\n",
      " [-0.10933967  1.34212071 -0.61503315]\n",
      " [-0.13530679  1.23602699 -0.65966406]\n",
      " [-0.10845574  1.3457322  -0.61351389]\n",
      " [-0.11830169  1.30550466 -0.63043658]\n",
      " [-0.07093821  1.49901736 -0.54903075]\n",
      " [-0.11545105  1.31715149 -0.62553706]]\n"
     ]
    }
   ],
   "source": [
    "# Sample from solution distribution \n",
    "rng = np.random.default_rng(seed=1)\n",
    "n_samples = 10\n",
    "x_samples = x_rv.sample(rng=rng, size=n_samples)\n",
    "print(x_samples)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The samples, this time vary little for all three elements (columns), indicating that the solver is certain about the solution. We print the marginal standard deviations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "true solution: [-0.12366738  1.28358209 -0.63965885].\n",
      "best guess for solution: [-0.12366124  1.28360716 -0.6396483 ].\n",
      "marginal standard deviations: [0.01944665 0.07945308 0.03342387].\n",
      "\n",
      "The marginal solution of element 0 is -0.12 with a 95% credible interval pm 0.04.\n",
      "The marginal solution of element 1 is 1.28 with a 95% credible interval pm 0.16.\n",
      "The marginal solution of element 2 is -0.64 with a 95% credible interval pm 0.07.\n"
     ]
    }
   ],
   "source": [
    "print(f\"true solution: {x}.\")\n",
    "print(f\"best guess for solution: {x_rv.mean}.\")\n",
    "print(f\"marginal standard deviations: {x_rv.std}.\\n\")\n",
    "\n",
    "for i in range(3):\n",
    "    print(f\"The marginal solution of element {i} is {x_rv.mean[i]:.2f} with a 95% credible interval pm {2 * x_rv.std[i]:.2f}.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Again for completeness, we visualize the best guess, the credible intervals as well as the first 4 samples:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7ff97151dac0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
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Yef/e7c+tOCDh2EOePJAN0OyJlfVv67+cIZEZOT0s4WT9aIREZm/j/Bgqx8Nl2D2tEg5IPBbu9hbAx1g4uP4ibmn3yJADEsufJ8kBicQD6Gj3aIAEAekeHosHwh7s+jgOEU9msIUj8InHQ7bbOT+eGOdDvls+yS9OCF0nyMvyD4aQdYIk4CNXiFgwA/84CE4IVZDlUyI8DzE/rVJO3odlbC3/tHKx/DcNTCEP7aMZwhvo4Gz0WGeQJwpyXUCnB7n705X9ceDRCInB6JEeFyQEkUcEoS/6iCDUxR4RhLf4I4JwfkxtbghXyUcEoSj1iCD0pB8RhJPMI4KQkX1EEC5yjwjCRf4RQbgoPCIIF8VHBOGi9Kh5EC7KjwjCReURQbioPiIIF7VHBOGi/oggXDQeEYSL5iOCcNF6RBAubx4RhIv2o+BCuOg8or8Ey8jEGgj+o4R42R6r+88B9n8m/FldvA91Y+lo4mxrZgN8zEdezr/EFdI/Pi1yXq6/l/9zbUgQj2XHCwnC+BFBgjB58kxAojB9Ah8y8Al8KJsnEMLZ/AmEMLV4AiEMnz5AEGpPngEWCCfrJxBC6slzAulxmB8lkfXh9QI9gRBWdk8ghJX9E/hQCk8ghJXjE/hQx08ghBX4CYSwcn4CIaxcnkAIK9cnLyaEldsTCGHl/gRCWHk8gQ9KDzJ9qmOsD+8T0PZftgdRdAaZGzk629oYOT/h9vBEgS1tTJ/cx8MzZWoJhDwplk9ienit/uelYX3QGCd7I5Mn0x/05V+Ny4PA/Nm6sD5Iy5/NC+uDsPyrfWF9UJcnDQzrg74oP8Xc/25iWB9k5t9tDOuD2jxtZFgfBOePVuZBc5zMwP96OlgfxAdk/K8QHzToX30PN8efjc+DFD1tbR7E6Glr8yBHf/Q+D4r0R/PzIEr/2/08iNP/0f6w/k//86BUfzZArA9y9WcHxPqgWX+2QKwPwvWvHoj1Qb7+aIJYHyTs310Q64OS/R9tEOuDphk97c1Y/miEWB907V+dEOuDpj1phVgfpEzpKeb4n2aI9UG+/jdHH+Trj3z+o1E3cXaE9B7gv76qIKX0X/zXVzMQ6AY0QZ6esDPhD7IqD2q4KBUhdGVcG0RYWGr68Em78z0n+NVkhqeFPGKS1E8HUUPTIrz+BOWp/OCRCS9Cur2LITe91hT/X/HS6WAoic4V0QPGL72Xx63mQBJTOwLzYe6EDysY+1EqxGiGunC61DFaEzfvuNvYN4rXs26bnDZ0eLcBtoCcM3SyeELwR5G0pm2YMG0yyiVwn7YeegSmo26is7qMxvAtTJhlxLloQzj+pfuKbsTnvvn5npSuzgT2o0y59hKuomAsfGwPWbK0/ugf02fkYSr5XrTq9s8EMu3ba1+qWJwe5rcssGprRzA6mnEw7APKJjPvcJekoiqXQ+7ZSJNJr/jbTTYmeIIZiEhLY2VM4qq2S1GOGG64znPqmaWhmKO48dE5pb4F87P/xtI+cBruLR9zVk9WnUp/y8u6/NMqUKkm/R1nuQLRYuK3PI3SEspwkpBILuk+hitYB2bLBa2I6daeLcsxU+OGDAr76czbZ5OHSuN38SSZzxTGbC4xYirohk29y2hda9gK2jtfQwu5SQZsY74iWNhBcvw9qE0RDERiB2v5oizpSPbmM6MWg+74YxaG5lC+fNu8gZkztflBAH0+Y2sYqbdhrt4nK/udgpiCUXlh3XiNxxSNoDV6823FYOFVYwA+nxaGnmILBj/xD3qWnuOoUwoGROYr5S/6+d/TnNRfJB2ESfmRoHc9l9Ehxc2gZRud8EUre8NEK6PjQn2bvVYkawCMLrnORbdJl/bYNOZcZ2g2nxygq015ex8/7rZ3xZg5/26htUf1A577QV2GrR1MzKgBr4ey9+/PuIxqINF87hjZSB2Bdp6fwx5jZmNv87utJtTX+TLbM/3Kf3ZJwjIS4oa09R0zGR/OFqLxTK8qqJtqAWFVf1QYH2+0TUWeQWfl0adrZHYVZCgV+hCljSdZifA8g6sTQ1oBe7kum+PWNvAQiCrTBfJ8v4yaM1GA234nOF6tT5/4fj5F0FL7qhKnIhRekQyacprJbPVVbzzVqdsQJoZfz1mTWFx+W622tJysP6q7zetzpNz+Ofuc9zMN/gsHzaPCYdaC2l9qgyPNZr9MXYDeKqL5un50HQmiv1COoIgR3I7CbLm6/zn0k9qijnwijzEY7dVlGHKMprEebyVznk0P+slp786QX8GQYXeHPGcCd5sQlgwhS/mQeSEB7flUChgg0oEJ4yzdudQRLzQ8aKR3ioP0SvHspuC0bN8uizVuN4O0cNSAjb7Ki6PcPV5CIYOtCppDA7E9i3R6o3t7PDHzIx1l2xx8LmtEys0F/Re2qOvX392XA9Fo6Tme1ZXtlDWNaFlixtqIv8gAX1xyUmoavMz4WKg1SKHdRG3yPTd9zA/nlWvabWyS7F4jJkODDFoErwyVmUjxCq+mTBiuohBYvw5ckstNby/IcdzNXRsI1M8GzIBch3ZzqupEP9MUC7sRmLxU+DZgJBI6fzf2cv5VnmjgUR+cSzN4RUKT+Uym0GPywoLEIWEbcyEVbxZAHWbB58SowQ/31nDVB7UbDpWjzfell1NgjPx45owJ7WT7jg7jjAe7+biSEnuUuXLVrxRPIvTe30xQLjI/TRPOuoqd66hN1l+4K5AK7oG+dlC/uCbjxN+hqwnWdwDIzA12zyMohWVsqhKd3bYshlpLjG776tlpzV/FjCXHOzI+N2qr1LEqqPg4w9zIZG5ceMlXlOh3Pv4LW/3T3RolMGSj7PBXbbJDk/sscuMMvoJfOidtrK/yO5+btIOO4zrSN2TBksplleN8gVA29b6g49P91x/o0LhQGaloOWrZ2MHpV1B81agvK5nG03RZCUtbigHR6avOre1okyOUiOgXv7edf7Pu86HH7FuV7rX09W+FLf3MY0l20gTRqTzXXg3v15fhCn9uVzvHgw4dTht/bCFH+XbD703yN/SjUeJCNOm593xxc06xWri9gNmGjgvVoRxgsGir1/bMponNsGDIQHkzc7kmFlXaD5FPzIfG3Th+M9VjbrCWgX1tb1U7mqToXaI/TyfG0RGf4LRSDr1FD1lTvasfEWxrWEtVFFt2eNmr7KRVOk86h4QnchKcXjP8AXazMidx51quFV+ZxZkcgLLjIBehvDB3a/qqLGwxLVBFQaL+a4vP66ay/Vz54RR0FgMt9wzUGyXFINocT4p9t4o7D/FNJzYRKMU2FbJ2XwvzxsQRWtLr6x/f4IVCCjSuqDwoxmrQP+js9yVe0V6MV2+j+Tn5sg6nif9qT84Xk6mvR29RQ8atH7H27JZjxPbNmC9LYC5FE32Bjb1eudXSbQNEzG4C7bh38p9ebD6blDkjL71jkFGT/D3yQ8aTwMvRBhchM+IDqzxVBBxvHyuI1bYrMfHFzRDvB5yXa2N4kqz+KM93ls0ducROM7pV0rkBbTWtBRbVbJ5Qdn1S35x1oPVkPguM0pH5D5viU39q6Q8MTPl13BtNMbskZrEKCuEjnyXLPrhw92yFS/rMZVBg3BW7FKK4ScCX5cYIR9ILkIw27GUgF2IKBAUOvZwVEuuJKSpx2DYVySseVDbsnDWOs659zqSVqp2BFDk7lYaftSTuEmR3IaxtXxZ431qJWTo8KD5lTriOGqIVX1ncbEAgckQoZ+CaJKd7JBtezNhYLrB47xCg4eh60MfCuKYIH8iORn3PFvtyj/L9Lx8x0XmONDj9sVxS5y/LaycLOr5KFLrYyTGvMwuEMfn8UR3QrfwRy+ZYOO5wo3nLuZm8GMXnqjrsMbrKYBMt5giEMlVuY90b4zdhy78cTe/NVslOzMetoSCkvs6JKZeTVIo1Efo4ymoDbcomt1L/THThXk4BliJcxOGaC6GjbGJUQ7mDsXVgX469p4eYp+IwthwBk3+MN7xmUHyHlSZiwXBjir93g9Rr2HrLsVksnK4PNaQDBbbN5WyX+7WAp3kXpTNqgaMKALFhPaxQrP4i/Qea942+jajPiIjQUWIhczAuqvpejKJG37nVWEuLIGeeMs3L1TDcvdqK9Bv5HXdcYvmF2Sy9ylGSnPtVtPyGyfQPWq8l8/mZ0GccQBYbLw+HslF8VoBB0HnOF03SzMBX7js2snrr8NzPr5DysnozqhfFneYxh46/OmNgdc7haMKkHi9TJp6Tuetecgo1C/7qYAw1vFMbDo94ndswUHQDiA7eejYjUfEhCfx9Ykiw14NLIPWr3Pbex0xVoj41t+CusV4rPQA6woKiZVnAe0lKYutzPkZtHbjck6/DQGaQEXoz2a9kdu4+NBupJk80uhBMwi8gRO3CuYn5YxyRT2nBx/fC5I4/5skN3u4Qm90NmgwkhtaK21eAgUF9FerpbnzXNtiDUsUC6BQGpsYmWOg+qWpYmqtv5Fi3FDvG+RiZ0pUcTT65OHzo+YneoY8r6cuPC/CzDHZ36Gt5+RFGfxHVWGWp2Jhp1dB112J7solvCL9MmvH0EzxywUfDNTqdZaJK1Po+dPYWqpgaBm2w33WMmxbrohFvo4rs1r1kVs2A8xm1dfJrygyeHMUG5wCUTvVTh7yUXd9ZTPdfPWl9o2+i653cUmDruHOdXZo70ygydtoKLeCAu/2c3z+Ye5feBeTRD83dy+cI7Dbw7Q3UuUApoTK+8LSCmXkrUy0Ef5+8n82FE5M0rR6Bd17Yo17tlI5Qy+DXu1DnuhcAXhyEke5FdakzQin00+0tZLg2g2VHY503YqCccZTx1ozJw4lFJDQOfPZe++KjuIUPFpIjOcGQRrC/L7OJnux4nDK03DKXnmGktESWDblbDPy3YJ0f32rTgDfZu8wV41M+1tzEupPfdszazJpnRr53zQQQR4re3olHrtso0ZtI+RwEUAfgmoWrcjUC68Gy6pyLBp/h4TWqHU70VeXFpwJIk4tKJajT8IRKLBYiqgpSE0p4dSWv5S03CXuTR+YayhmITpD8tWL42GrGJW+ncGt8b6vVwkSU36+RgtgIAFJECs7xVSz6sHn1l89ONrM3jNafSXYyJ1ZRPY+3Q+5vNKZIhuVmYvstmybrWrG59pZKj4sgA5cyqjZAGNYj7VO2WkbvGtrrHoB1xlKe7C6K5O87m+vbfS64cU/Vby9aqNS0Lr8LlnpdEYcNekqCAZ20NKnariUumQm5YayeEs1IdTyD6Eh8uXMC5XES+R9JViugZAN+EtiW6eQDZfxoSkdK6ybNOpvL0alQboksDN+N6h2+XVyhHmeauEMpWQQC4PnmvS5fDOWBfq2YZsySj3k26lQpFMO25b0bvPEKyrztf64ZzYGM0/t5LVIzzgDD/3PrTnW0FH1G0SCiINahhKRG4lmhFrJ3eQHj9sirBWnPRMnByaU6B+7Z8ks9CrdUJGalyf1vObW5oMLcKtqFqHjklYPZ+FcthDDWpdo2aAHellikv4RNuMvw8j84tr92SztOokMDYHZEAxcHZMfeRGbegaqMLFqsrJbYSz7RRgfYQ+vyJn+p5SrDDpx31SVgLgnp1AYnqQqvcngjfs2DI1fsAh5kDrRuZmH7U4d+xsmeO4n5hFYIjAszY7cxG0VI6XcJKbbMLo0N03NPa9laF6GO+GWGvljPYeLr9RkLahcxYNHcLRQ9Cran8iKgKZ9GlM4MgeMrbl4M2gvtUcTB08mNPgViqMr257ByRqsIX7Df9SB6YU3TxYPgHaUZpBvqxAiOo6o+U8svL6Qw+EiCQnUDmjNnY2qS9ciTDyp+uEax5WkxNJNWYkKzj3Ngf78tEocZRfI2maITLclX8BqRWzmxS0cLnJkNueHy1HXe5dvJZmLum67cCoEHGTj3tdNIAzVlvJU6DNEKl3jLS6Sfsc6NS8Z8OIfmlsT9jMfrkNPPuoL2Qfy+TrEjIMV3sDCtKF6ZzqiDhPJVj6VHFqVY9NEbIbngfLgYFKJe49OPRwP4BxHSKE2g9a6739tS4QODNyGKRR5ERQ63wgAGj3VDvuce95JhIVfXLURNlnoYKRIHqqOE7Wb6VYH3Xufp5YSYSXPVhWxZs6T2qcO5FiicNzE+B2HofFf0tSdKOi9Gg4RIr5ljGQqrmlHAvT8QNPVKqbtF7DIDVo1fYJDE7qSJG1d8pTVUmv6ENA39Lrt86aY10sJxzL7/Fmvabi8FfyrgZaLts+X6s2Jzn9IaYOAo/yGGgFIm59drtMNuGuQYvzt21GnVJDqDM8mLzmEqUdvfKZSIthS0h6UzMT5a+st00beJMfmemR8JkZGznMjeSyw0m74dTAsnR9EIKxk70HsD16XQb+lac5yeUyzL98rzwNMmX1utvyFXZogKhivzXrw8J466bFvChNlVfBiPlfegRw78XomhimXOTwpMRL2kBxWVRxaITCakQhQfPfRj9d38pD78xfj6N1NKDZCj4JjhDuECkkvIDkvdKcz5YJny+68Mg5+BhNmfsoMEWWRxk42TGbTW3p8HxLHsxckKGAw/P10nRx1GV/1CfP2jvJ5J9AtHo4PJJ4Y6xe/012nkxnlZJr+CO6hkFENJ4W/6HcoLaTAt0xFUstDTYIRfYU8tk/QGg2izjsXsU3LTW5E8a9IUT7F/olV9gpEOZ/iMryW70861o6PKE7ayZqTq8FohJuaVlFnO4Zob8a5tIfKmWaNqTWOBktMXHvkS1sEfVQKTeTq0oK2I76b4NONvHLTf4sRue2m8MJsURiC8UrF9vU4o/81+AuP8gnxeYlDPWGkUWSrmhFHkDbQEzlWPmGtQm2Nb2M+0i/W2jMa7utrdJAM5UXenjRLiXhVjQk717o2KpVzcIyaeZt0Qw/kYLbeAwp7i+/KrzlEk2GkuhKnw4QX+siMFHX+LOv/Lg9EB7HsMxnbUVoMmQ3zqLzpLNbHufK+7tFcEuIcvbFQnh/ELz7DFjlw5WpiXGNpR1r8PcWy1oVqqy0eWjVRPl3PV/e5b8iXf+30SqjaDJHu6+FqDWV8izuhVva/t+m51PniCPv4dXgtO/bfoXrXNwoAq2AZf3h/8KNJ0altNImTrbZpqX0sSQ37BzkLlizRc0h7pUx/d6Jmv0o1YM55/EfXgdTd1Zjn8bYD2Y6bhVSnPDEfTa9sWozjyNs8yVuvkgS+fLXfst91SBQuiy5pFM0dMcbGlucVDBnoKP8+kfkNAxXlhagud7tfozrBSHxS4RGWmd+9usOwQpSFvsiD1himl5ayqYCJzwP/0JTaJr51mSUra5waL8KRt/FZLUgt+iV/e1iVNJU0/h+HILGY1V0nkTpGePVe40Mg1HSzdwn73Zj2/grpGaq82lUzBiGFbKBHDszz23lejryRfc84nZGmKmjV6m2V1bOiN2G5av4ISulKiz1z/136uel3py2IxWtPwxXadEB+4ZAZrHroPMqvLJiaBLKdZCnu/fRGb2zj1LkGEcLl0G+MCXKipEkeuQpE7McaKdA1XrlpRLvvd9DH9DlnPZnWAWQRDY1sUh+w2O9k5ZdcZsLz28/RSgrDEZ0KVCqPUhCLEhjR2uXFyB68qDO6d5sRaRtjaTc5QaoIZPIsHYb+mp8T0sY5yYF9tO/+i8R3P+ATvjh+Zu3ZV67y1Z1tJ9Hy/VFk8eW9ZG9EcdzIFO339+D4eRVpSmeeKRry7jBVdU1v6I6d0J4INwqqEyzr3igjeHriaiJ2bjMv8VRJ0AuiGbYtAI9Q/Wui9jYlv0QA8yB13KQ5N5cKfvrexO4rjPPYbIVSPVd94c/sn0trNmm0tSZ2+j4nLNdwo/vLmSKMpY2EUiKo+oHNX73YKz7ai4aZ+a/1Lm4nQ6zopnA0J9WX1bh4SP7L+l6cuNRlezj2ivi0DsN/8PQhRtOWHpdwkwl06Qg7WMl54H+AT8hl5Hb5QaatJlvdfwgvbIyZ22xhm9WuZpNrva37d5UBIGzwt5kXPk0fM0GVmLRxfUtSgG0OMWIkHlTbRnBicyHRqkUZkPu13aIlFMzdCcBHrMiWT0N/5Iuv09aurynlaaamgtmeYXHQWY7iEAa/XeTw484JNxMQ89kXeFimq6rVQSDN1G0nnNTDLcseJtr/nT71tRKT5sbIm0nqTfs5wXW4QyT12vPvTbhhqT/23yfu0zjXY9VVueizXLZt4R9/ZmppwJ18ATHBG8VYN9jALzWzf7utek9PyrGWC5iV9BPXSkzv67xrOXgA/+qaPxubI7msH0Kkb6kcrBhhZsdj+0jJjd15Iiju4Zsfkhbivzfs9p8bu2OVJCbgjN8xTUrsrEhq2VeEMVeR4ykj1Lg72ZuL8zFgsTjPKAH4Cxfc8cLG57NoyVTutQ7PeO5gIMvFmKmbqiogv5ThxylA/o6wSxb5wNJigCX9hFXWRSM3I+H5CiMA1ZDewAqwa9sWzmTnrrehYfBkjJYdPnscEnEeFDhvb1FJWDqnm3uK6pHkY3nxKp8FLFWk6fLsVfVkFvx1/i/E5Gwr8iNgg7lH8pCQsp9ZoofQYRPX0GM9h8Y3SPGicQx6mxODdSVzPqG3SYZrsmMzMYf0U+JkcCqOXBOrH6JeJM4G88kW7kpLYMT4X2Osup2z+6Wj3YUsTluoKy0FF5OtY+5nQWKIRU5L3iz4X5A2TOb4OLyonSsJ/X9gyt73SvMazci43oRzelKtOXG/8cYTC8EGzgKzFMbFWEuXVs34wx04DCo+4NHLowVCRdgNtClvJugyTmGKRd/d44ne5QxIccF9U0mJB2dfzHWEbc12Em/ijmFxwJ80MsOeDe6uEoE1euBYUdqKh0GvJ9GVy7zidmZbJvfDfdp4Bxb75YcemYWIBQzAaPR2YxiGCekLVrIF6iylpaW1cBoy4MW23FbfyIv335Yls8ZX+4sj8dGEbyp8yhXeS0XtQt7Z2ETq3M9q5qQjtp9m7X0a/ptKh2LQK4WWsmudugv0wsiDFmAW0b2pp1kqcjrYI5xkvDDDPK3KypH27cQNHcE+1emCGauq+fqkMjR3PZITqWVj+kgXPAMGfgLBvpx/IWl+0x15+NirdsVAiUu2DEqZdCxKCTWGY8OEuLFjdpD/ufPZLYI8JV62WyPXMd9a+z1+SVEVNfLltrG3p7dt25ajyhnEmImSlmUH+5xONGF/0r7FnQn45FPHxhC8onvUPWEZFQB9FE3GgGzMgSnF8WeZ+cW+rL/Cev3FJ8LgYHnT+K2y4YmzYI2pTtP/0biXluW5GDwYvWhyleY5WbcaNIfy9cAKjViEHjTPyitl0XFPXBEly0URSs0FOScWVVDEfCr8LKKiTpISupPeN91GCxfoxyab/8BKmEuOnJYvfDbpf2d6MZBDZdKDW0Dk0Q7mLA1Qz62yShexDkGjWvgoTJPBfy9edSyH4VBjb2JdZwXPEnaqd71uu3ZVzK10UDKL6WopRMP1KxwBmzeU+395m6rgu343+jGib6N4IcDqTcOZsHc0Oq5Lwxrzwx9/zVx383moJMF7ep56Xnz4BlT7PiSn8DB61F9p4VaAFlXs6X2RsNs1WIty9m8MgjhA9UbkTVcOaHtl2LMdQM+V5M/DuXeWCZ+Exyz0Us9sGjyxqBs32x5e4eNe0tJK1DUdbsya++9l61lSfzgiMEn/GAZmWNw1NZFQ/4bKA/YNSZMbMhgNvvX31Y6+z2RK8Tcdg8yb38ewNxgluvpZxef/I4zhKHWYXIcT/ejpL4qGLb1BiuVogzB2/fD8Dy81cAmD5AV3nTeE8Da94KCFDdznkWh+29PXdjg7X1Yv7WChEjkZH6nHu94mjvP11tY0OajiZWs5X7fYYKXHBY9sXmcZvTT5Gjcv7X34/j5LURB6ccRi06z6ZfAP3JShCl/197PvfAP1+R17mJTCRsfHWu5KaYK4YLXNv6L1FJBZiQ6TX1eQV7+PysTukRZVfEvF+hPLr3bxA6Q0VSpKefg4OufiSZDNABlQ0yNx68xvxe13XhPgP3CyFmgTriGKoDQpQbAc8y56t5ZfzzAOfvclGcXU8f4ZTxZU0w8idN8dtYR6tlbeyNfd1FbICiVe/MzIb9WezXTnXALn5Swb3R0RnTVaeuIC2FuqBCP8O4piQzCgHi4A2wVftXjEYjqfnkV1qwT1Er+R3WkQqOR3zYj+ossRV/myCJqkb48+0G1bzV2Bh0vppjDVEO/aazXTm/YlU88vmzzc7OiaJR849H/EcM/QL426P1ajWYe5R0hsLZIeT7FCZt+oD4bjfhrx41jow22jlqKwUJRtKQDsFf5BRx1PXzZePoWPXRl2JBzBhziaEV4MObkp5kZkrngtDkDlmTHyFTmi9AJUDdnC64JwA4BtIw5CG0XHEHdGHztRFzCBu64wSfcvp2g703+9qOZNsZRNR+4zP/ROPoYWEpG76yCJ9aBbqzMnnXJR6wnvIxC4tAE7iPeEnZKuuM857EnJxa27ifIFKZGc4WVBjDdn70QSv/tPvjCabTL4rnjHNxeI5Gz4JfZKYeyV38mdiDpzrR4nbHAmkSG+NnYkdTM0+Qj4jWnC4SateBaGtuFQQl5mIlhD681wE/x4Vre4BMdhlvkXVqjQqovCu8lTs1PN9hX/Iua0Uqju/m8bRiOQfKnAlIUX0vKUt1PmuYrSvBwtZpH03q8SOjPgn8vGoLIcq9fsyGsMRjTd7JNE6lvE4tw3jt5tX23oW6IO4UAnJpgiCcTFxexMGCq+ZxfTJQYSZ44HbdzXzawulNcGU5rvB5lrvNfpZo6OZFGQEFBr6u1+JNVhjEIzlpsgkjexHkR3DIP0I8Yzq0R9TDf/uflMUGQq18mn8TGjOrofwWCbfhajRSIYq2v0FRbrmCcjorKneYYbM3yR26co2uqhLSmwjYa4/gdCaQ0uI0XCwgV+6+mO5L+mIJTPO4BbJ1nEerKDoWI/IBzdorE5HiX3ul21M9FA337dvqjdZGCctGBa99VKXYgi979YHYoJb834NOhKGrvp0pjF8idlzHdj/QloXUlvoKfFRB4sACzW7At12vphAZnLJImH86vk3dlwRb/lPUesRqNzJN2Nb13alTSu3XeErcg2/gBEugtwpfrBfn/XteCXMIeW/ds2OVVRURZUgYEnqtQ/O3KvhQAtrqMwQcGweQO9SYh0m6aVsmc38NgHbXFqJ2TOCqzz7LqCkEQFuyjK7P9epfBKBePwYYWHAGr9UpU1MHYdR/tOilJtJ4SchPyuU8zdibORJ6m9w89/BVc+4m3ckpxsHDn9OttGIkDnP+gr8gPBzptLpitHfoAZMB5y4KSHt76vY0u3uJHmmXsJ0svN6t1/gPCeAJDz4qxqX++pIxGsimx6KxsSM+HKbHcZnS0b09cpufuygCowzNM+MOzezMbXf8+/osmiqhku84LvsUD5dx3V+DCSEKzAN9UyfAp59294rfm+zRBndUUCLmW9RlUdas93ANoUJcmvBmK61xaha2DsYGE38apnFeqt2QO0YQtuEzEUqxI8qpYyp+sxKJ9P3VReuZLkkMUA9ntsbJ+V4hMJnB0nHIPnrWytmtYjIS78zlI7mrEFo12VPatxyPA96OyjLI2TR8/KRzlxgbmIW1wZFzGvrC6Uoi7Ejr3cMCUNLJlkfCidDa195Mg0Ndiax0CjxkxZz17ikknceoZjKZbi7vxcQorXxTgZZuQy10dJso7zd1mNDn3SchD0DBaHNrLgRUIWUGHh36hNcreutsx2evqyiCxt/12KnUizPt+CxZj1mkPAuYIj+vXYLHqVj7Vu75y/f8pC1ZZzfXskns1+x2mBp2eve1mTVfisvXW892zIn97tV7pZ2xjHrd1LI2k++3kSz/DXUtrP4qRb3XfPS9/rMkqmsz4UniaLPaqPFBHvc+inELqGGaLwHT6LMlz+7fv5ouSMmHjHGVg8neKAJzPdFQf35bYtAyKi73kChlRVxFa2rOtmF29Ve5o2umxwRab4GD81+1NbdaiyVWypvbR+4Gw86jevDQtQwf6Mr1d7G8/Ys+6vk22CfpPDI+L0c3Y8vk79luf5IVPXerCBqw/GlBKdTbKoT7EJlxlHBEnWPi361sLYinyItqCjUND3T3yNcG6KJzGXWsszJocrsQDf44SP5hecGZo9Brgiu7rRulbjVcKA6NVztpyIVP91Rk1U2x+ezhEArMigEtUH33cCYqC1Zj2SGItkTnYnLohzDt/VU+m3wg5G3/r+f2ypEf73JxEKZCl+Iz9hfVpntuxDz4cgxcAqNpE8bqNa7zbL7pH2VsnQePMm4XYTrLFyGWV26rdxCE+Twxj3qNZdPsjzmyG+RXPZE1RnGMy6foR3ijULXts8baFC5NISnZkNQehKMYgIGssUG8LDvn72oD35D5d7RnZTu1OtxjpdVI1EaP3QAHJALvwmlY/o+nfhG+l12iBNrvRZbvg9XZkG0eE7am/3s7300GV7hsSuUDl/DRKApMJxeX6v4lxSga0BhkGzafrypXwqIzBwPPs/R7rgw1KXWlMXueMveJ8bff8Yuqz0BQ3BrkVIC4o9CHP/I7LeXaCvmENvYcbf81hha9j6mHmfskyt9w0eS1S8KanfrMBb8zDrU3+NdnG4xpgKPI06wSIqOg/2eSThUYljNvhnrzz1eNpi2qHYWqXO4nC+ApzaNTGWL2ziT4mHLM1WkhRcdCmxb9M5j7OBfk1oX3/UiiH6xo0bki5rWk7LZFEjDCP4hSj5yYT/fn4UXAdCYUOCNqSFVGLkvxqfSRCRQOncUNwm4LB6+D+QK5Z1S3wzC68OV/3qVFMTvp7MqyGPjSBoUUGFlIPYVVlnCP6gkaPLSefGSJtpQiQo5H92Ph3cj1JuIPpV10gkKefnK9PA7/JyunSosGYl8wwTJS1Vx0LFlvxBzbwuKOMx2Mfld+t5xzbbOsSGl4A+t2fVWOpyYM7q1mT2nVy5Q7ibCrK1RXXgez5CDda9HiVY6gbEhvbM2GicLn+8y1YWorpegZy9y6zpg9jqeCVHG1fhz8avECyAs2roukfop5JLTZ7mp3T83EHAsUsjlsulUgFLDr4N7y265/FrI6sBNPVZaOqWeezPEV1zBytXYkI1sX44dhpz/ygbxfkqIlMvvSB6oxVPYInZEkYmJ5eEurkD5LjGQq4Acv2LF3NLk2Pum93AuKYjKuPPrgHj1234LjgJTS3W/8+VX8FFyFrhKQcRjqmOYqzc0/dSq7CWkOgQfRhNPmxaFXsIV/Oz0bUgeq8eALrpr+Sid/cF1ZZ7qsMU/rPpO+TfT52S7twuYWe2fyP1z5tL1nfXMpTGQwyn17Q+hIN+i2aXvxlVGeSR3mO/w/eeEGE+yAqBYX1d56hjJmLcoYYm+AJUeFmvv0TnJaRakLejMjNBG2+0WfyR5gY8ryLgSf97KA/0sMlgLa1Sk3epT3FWDP4L+LQ8LRv/oedMBnccS0/2LLMsb4qSsqUUSl2ZO4WsqIxjmmqssOEeXiJeUhUYCKPzG1C1JHyXHv21Md498JCMixF7uf5nsST6TvR6qPB4JXmzELgCp1pXUR2KCX2asyGl2iRlAv70fBILppLgPNT2XdxpwfOBtUZtsuaEc6rpOLoT48HQcT77/NGlatwKcgGmhE3vZoQi87z+eSL2kIPKwk+H2otp8uZpjxFWmk2bh3irz/pJnUzcCk/r6xwv7gaHq1jFjg2d6NfLPYa8x7ufQ715+Vl1pU2IuENp2w8PLzR1pxUhUfYcK33jxvj/Vl0MmDz824pknY/IBj08MF2MVZU+2cwiclLAbP887ecrajyxj+yV+Eu11hDA6VYwnvGXEd8NY2J+WpOimnb9dqxaQVomsbr81UnGTwLe1+faNf/Yri+xK9i70AstvWrxhVdkZLn8fJN3ubuYfV1NlifNyDYJbtc4/m8aSMwAJ7T4iyCcwU6KvOWnCp5CSYqCmrn5Rxzh8PfwALietUxReXHon5SUOJaWle8NqlCrSXed4FJ7YTOjmXzuMSrypGd3QMuYPU/Ah6R0ygma0Z09Ua77I5+cl861ziwthn4HOQXmzcQK2n1dSzzjZqkL3XJNWDj8y6KPUC/QS4aTdfeY6mqVRkdcm4U3Arj2Wu1w38Ro7hJbK1/qFLh6dnbzQwrmuCO/jIChM5ulavU6dC48zRF7EbX4i7/FRq5kP82LC+9R66pX+MDuNM8oXJmTmU5EBb0wYu2F9yzpdlWSCycjsq6Ev4O6LON2rMoed6aET/WDqwggmC1HQPPi7OydK4dszl49MsXWEqcDdCAKWLsrm9MHRt88CkySPEwPC08mciUkP2Izg0OXv3hk6MCGJV0cH88gYIcc6OQCLKLUUkE7bFlM+GJg6VdsM2Ch1DGPL3Y1ZZdJ02HMkF3vtL/8kwuZVL9/jfqfpSJSu9/UCq0FvKXM4we6YHh4J7VvTIaPXJVSK9WAKcnKHJwOwW6ZTqrBSkjz39zwVXiPh96k3+YdfVFtZbafc+jLD7I4+9PR4AmqvRTZkVkVhxfUC2D7kVR/LsJ9i+mG8NSLxpIhHddaAv/CcayGDpjZZrHJgaYCXng9EaNNn/BRLa7SM43Y7qnUvTjcROu6pjUk+zFE6el2MHLeglg/lvwdQerZa1JTrzY/sfWDSlXQ0nydKkItDyGnye5YLDqbaEnhpT9XzXQ+xGAk+sp+7iCQm0Jp8ssHEfYzKpJOy18Px7asiPR3siAbkkGAkYc/oFhgf9iaEj9+k4Of3smg4Zerjo/jYQvsv8k/6e+z2GbETXcvMj0mNAhz7nSBfijtVqgg/JwK9I5MMDa/7HX8krxZTNARpTXnacEJhwSfkTomUNAkvCeAjK6F19aB+MfL0tUz/1jV9Q+/1BUBGr66NdwTj39fmL8xar5rs1wVNjABnJZlLW01Ghr4UJ7XWnDQUbEoOf3WFnTASAH2ifOqsgfsm06RChUCvG6BhKKgbERtr2EwYsJyLbl+AQdxmfxUW6p+TL7AW8K2Yxm9dciEoNqk6ONeJ7wfcFcWhtAUwfdXld4Y6NUG5W++5oAlNjkLmRbYJ5Uick/fZJbFxnsWyUPNgo4JIL9J5sn/KAZx3K1niAsAoux7TcWCyXikQQ/HXIHcM2VnAfRfBMOwS/9kgLr2CzQLmz9vVWn+tWescvdRvgjm1Tmw0zTSLrMnsDGIaIaT0HeOU0+yx0yhAuOcOel/lMJsUURldtWkGkg8FgTtpTPoSiORe+6aWcEbJfB80GwgKXlZ323/R50YTX2485F4uDpBtrluIToYmQdQQblhVi5XdOEh2FZgCsZHA3rupC64CcKOfcaetZ2uATsa+B5gYf7HCUxZy05VnMmH7NiyqKJngfbXx3bMKbOapd720koFw36yCqUADgutk+oAD2qmoURo7s58WGD909+q9aV+MamEj5VB0wB4IjxJ+vzM7984XetnYC0xBGgnThtD8qYK/bRg0jR5Yyv2ZikVwsKvc7cWgUPF5v/l74k+Ww2/ipUcYfSvrgmfS2XOJdeFdj0qaCnrEi2DJt+zpZD4IevXYsFUhuw0pwTMYtcTBLAVslW7YKZv6ka0r3ifUuIvS1DrfbqGHbXZdSwLbcc7XEdBTMLcDqHAF1LR+1Lsn31csf3ynHfiVh83CS1ao/tn7bPifdpTL5TIt+ENKw5JSswtzDis2FlwW+BUB8b8IM6j82JRpuudeI0UQ88XQhkO9qWVM/9YTaKJ2QrBgkhK5i64JGFSnc8hebPHmKo5KZwJQTqcR9+229RFRWZTXOlyouKAxBlGVvNz3C+H1E5CsmHCkWnnORvvRh9Kgv3EpCpmrxW+CKu/8MHV/WC+zWOuiiCfxnIuJPs8DeBGbvEXZYcFXPNUdv25XlSaM2/Fbnq4/w6feSWix99XvoBtsrBLgxbYNf9wqgvzYnDYsjYalg4cUhyTaGSLUc434KOY15wGPZZaAsLXablkaP9L1VztQQacgDW8R5eJXBovziPkxbeTxtpdO9BGw++MCEg2ScL8Ogh2zC73KptcdfDCGwjA6iNcCL/I07vsziu9ccN05ewRgcGN+NGpbHSib1dA1cA8JnVCRXvbfU0LtOsdhMwpyytnIbQntnWzV/47D6nIkMAYM42J0YFnh8TUypyIktK2jvjdUD2ELJXF/LSPcd95EMXR2c+RKgcrBbcd5Az3Tn4ya7aqteZqqFvVGAAdvfES0pPZ1NZcGZjj7pcBByrYLz0iOxvQ1DLNdUhxfp8t7dC0haJr3t2OESuNzha++oaZFpsgs6s1c+UnAmkT3RPiIHSMsIfZStBV6OLkKYFmGfvFmhnbru8wJ2+emculD+GxPhdyHGYph5e+qffgTE1ORiHC48qA74Uy7MvdE04+0YTiD30CVr8C5tMrNJIrYF75Ta6Kmi6uA1L0WtTZS0LdlLNpqvj/6C0mH4PM3PzngVA61LtN2fAS5YkWSP+4d642ZRF8eUKU5wR4bkMjC2x0zg7Iy5Z4rQaUIHmqjwY1+X5ybKC+wxunO865XaLC2rZ6WYzr92hL09oD4h1FT2nQo7B7DNHOc2GXu8Fecn19Kr0rn+NJfHotHreVoFIfRbS2qgTvmfxZHUXdPquyLh9Jw44Rctfq59e6vvUQjNIPbvKgbZo/BlyCZgELvkCCC0jSU10aEUjg33xWy9xIc9o56kc8bfu951H9+6+HPJ4jEv/DhTvK3p3SmTzs1t+6pAucAGfCtoWGGHbgcfokurQCL/lDvbfislNcV+GfGM4/F85hF+BBx2HT+qxcDLmdRhpqK2aWfW2Jninje9iQdJpJZezAMhdzrmevO8qkmvQt9w3WVyVBEIv0ioKYOprY2/cisPRgLuki92x4wkDrxHPpDehQn2S87n43lYkC8qbQeIexxwrkNh9Bl87oIyp4glKfp3cZlo0eFJV9gN8h9hmF06dOW73JEE6twQPYbybHWcReW0VInPeTQK8frcuyDuc/0SigVaQZYzlku1ha3nCqBhZx7KO9Wzky5rTV32dP1NQK0tt1MtdtrsgF+nN5ZM8mH8xg6qPXxhb1e9iymiqciBakX0XbiSSzORB9UUref3UdUZ+lNWZsWOI6FZfpEB7gkK+yncph0R/NzAtyKpueKuhJx9GM7AX3TyCSw6MCXjohblJsNzWf7tCwfyDmpY6SXUUojvpIs6MafAeA6A7NmnKX7+elKG3yWxxdbMFw2uUTYvNOnprZlQyKTOPvPrmENtl/xyG1Ljd2wnlGhWkfL9TteaKCbqvO+OGw49hziXEvw2VQ/MJgI56wMoAz4vW0/CzTvhOL8eeXHTg9bFVitg9jJ38Y8GgoL67+5KKzO7fzaVT54L6K5Vz/TNalRRWi/lZ+Zm+I4aO53ZUxg5FJlO2lLyG91FGYj9ZqK634U5LD8ugxUhw4kL0rEtj02+4x4U/XI083VDwzMZFahVWvniO3ZPz+j10kwtudmRvmZu8/aVtL021osSYMLYJXBJyV7n/3RcCP28aDOKH4OjagbBszV90xHtwGu0fFxcn08lCQXh1DNEuXeNP0WtjJxUDUx2mXgTrr/YDvV4rJ4cwlXjsvALZLE/9XFdPp+slsZA5BfhcKpU/XdYL+WR6GLXqD9zcvU6u3QwHrGuW9BUpQFd4oHZZPGQyHgcLm039Xf28xrcnNGGXvBKLgwoPcEsEi2wfsc8xYgxOvLaRLEjEJ/v1hgC+Ny/lu6mostycDxrFWrZjubHqUhO3K3vvK064M8+RNkrjPFeXdFM/JK7cLdHVFf2rbyjPAfxzcBipbsEvqaJxpaZq5rI7udmaY/zNVQek8I3tQxeUUuZt/vG1m72dJdfiuUU3jOs/h2gdCydhT440h6uDlRZuHCiSlz+kSFI/Hz55k2a+nVTElXznGp9UPleoqfU4tOY7+2XnepxOsdD1ojHGRcydtgBHCICMC+ZKazVesStfA9eTGOo/C8aqrJAoeRT1Rj06dD8nBhwKNOlD0+65MzSzmDtMJ7u5UgWFP/ftbL8K7UeKfrvqivpVDXAPeXZgebz7a9QbJMlk0Wpu3nP/S+s0uavLOOGm7OtKbfuZzDAz0Ps8ibda+vDAtc09kchHUbjwzaBmw4JQHV+HBH+gSSEqdtb4GNFJ/ixyIdxIjIKuI4DQPfiM2rCGszcU0g49zuTah8HRU7D5sNlfVX7Lbgt9fcQ4/c1YGJaJIDJwjdCq+QVOMZqwF7g+xGQ9xXeqyIoJenfSt4WSexkwrr57c5LlJ7s7okm9ppZ+aaFu2wDbA+LWj6NXX6wP+0Xu2XwcvEFdD9sQrWfz1ir8Ha6ohmXc8hXD+IxRIjFP3iZOo1o8d1VQnsJEv0DzlcykNuk0IncUHVu6Zz2csT/13Z8a+lFTznwpzAykwbGxofWdyZ7nfyzpdstAWKRnjHUB9qHUNInsV/Wd7gA5l8ARHhsCKzaiU6UV5ZdE68P82lKRxXE+70AS0owScTBSAGfKYQoNWHfiVeOcxhGt0vRa8yWWjdEbfIYB417Inujv69bgiGcrxQDYo4cx8Kmvl0HCrCKzosNCPlmrYI9ZTXMtUJlYQzZ/LZOCHpDct4SlA5ebk7GwbSXnKTy+gnXv0t05DVzFPQfnpNFpZQBU8m0vt50wm4EKcBSgtlj/mlS+eCZcWWvG2cGBoO8SBuZQU3ANzgmXJSykiQSPYxV0Vdr8cNGMss0OdOIc5T+aVn5vvnktDxfn3u1tDEEUnB1LnX+QEa72wS+F86emnpyYhby2E8g8LZroZK/f78B3OUc1tDQbA7C5oxt6Oj1GAzYyaeStNEk1aSH3wmmOAUjz/ZTFqiOhrdCqy8b3Rg8/GNt5mVYLGTfaZe+Z6F7RFUjoZ8FoKy2HhF6wExSZRmfrT+OfUm6E4andlRZ8jeRzDKiaLA9kvYJ1QcRbb9OJL3L8hx9+JtsffXJ3Q+72TH6N/inLb6E+2/Bu8uXCMk+lF1LSvozTEoiW/WtOOQUPqSl+JlSlDejwHDmIMlFgsj23XypJRQkJuSytsi0I/srMHKP9vRkdO7qUC9dVQU0dUYqVi4yQ5BcxTg24LbQyTLZKcduXX2FPBHSrE3Nl8de7RdLYxV3W/V9aQ73FFesVT96v+1iTI8xHuRg2536OTX5n2P3pR5cynmFEfLn/F8uwRx25r0N9dt4BYfIisj4hXSAlrG8Iwi43DgL4ad/v5nJzaoqnAduLpGYSdRYqpMMWBzKLvqmcUruUzilVSMQD0WJVpWQx/Ofq6Q3xHYjUMJBidWaYQE9NDDzA1hV5MvPufrzC31FYbvtYu6VWu97lTF9rPruLOOj49wx0MO9q0LRfI0u0QBR9zIpEHrn5+zt4+dyrk4Cq8tkZfcPFvFGnPdqstGQr463hWlr9oDdHM8uzPEDoUOibcGdI61fchh7qE4dI4Rc/iCrFB/RVNvON6vVGUwktQVZ04cjaDLy1P4LtFPOF7Vzgdq7Bz3quZ31Dg+7BsOADrpaCMoIz0+rUGNl/XF4cm3LYJdmOri93meZGNvz2PjOoOe/xzJ7VgjJlobcWgAE33hwEE6LKxycREUW7KTD2rtvXJM5m+zLpqCoQx7d9AtKg8mEehTeyZnKiTy8+RzV1o2XndFUGrxMR69MO++CrFs+GDGAa4W1bOySjMJ/5CP1W2/fqyPl1r1NHbe8yAdyTG2MxmPoz4bNQ1WtUobFM2k1F/7BKXxUjsiXmchZoywZW9up1MmMSpZ3xGYgITnx0BsFv59xk1ZbZJBOYuRx/1FW2L41oBc4RCpZ/pohTKYZJf/KBsdXdQd5tokfTEhVKgvx4v6JDTeqGHwt2ri8bs4lBXR5+MHiJcBuLiAE1Rd2+cF0+nr9ya08PQX+EFktaIVOnSjTLaD3QEG5V/7U4nLeliMPrPZA20lsK08CDx/oGmKXOwr6f+WROKOYVpKWk++/El45VmnsuaO3S3UUtqSriw3g54Q4YC34I8w6s9HIdyAFIvkWePil6J7KudKBtgYmEBQnYSJbFMgWkkod/P2cul0guHCHW7tQm/hRo1hkBUBoLgFaxjNJsqUZk6dEk3Q1rsW6ZfgHRMK2DpLJ116m39QFTUwQ0UASG2YTP7Gn0ohUTtIdYIHb7AstmIxQGcwIuEannqNnM9SzkbZU7aTcgcijva0GPqdS5BHfEteXKPPnHYdrcv0GFCxjc0cFscPKF1UfAdqS/N4rhOyPvJG2l1rS+atHvlqz3v8gLatbquvsSdLAal6cKxe1b2RWHRTUyy58qbzPXIxSHEz6KgLTqxRhdtCJZLOQ6r0Zm1WLBIGbXbbkr1oVnvFU5P7791DvqsqaSzQXPGVVINXXcgqnWKagfSiTbDYjgdbCgGIx0PjAaq9tnoXw5Zz0ioJMfEBnBcz1qMJ9QGa3pr8nN3oqF3Yq/Ztx1wxE+Wf1l7o9r5HP+FPNDtboj7I+cZEp+JUOlXPh7phxk+VxDC6Bxw//3UoBqPLcj2WRJTV912KdN6d+hXcYdBGjWHpkrw7V99P6OrY2TGFmx3ZRVOCELib50HhvXECbj7r8zKv9Qs/lLlNObuW2938wtj7IcuNGEkv4N6y19MP9fyIT/P6+o4/Jkoj96TlgEzOgrCQ3zmZDJVF2tc+eYJQVEg33d+hNvoguV/ChotOtNXoVXDaaAxUGszz71f+2+3d6ARfqktkVXOCF0IavjsCs2VnOUAy1n09z93kd60bc6DfE4ci5YR7w8BdqqILe7msHKxb5hHxl4ql/Pgi/PWLI+033SJB7UIQsuQHdH2f1Ik5G501W+J7MrCCMvYbWHTZpIpLvQrjyrH68XbsyPmDzlGNPYW5s02cV4uO0Ov7BVqfvuwC59Ok9JJfrWySfHW2FOLrf1VZRzZ1Gk1JP42KRYeM8lvqLW4FmIYZbLbFYraA5YobDnAUzvNBkOxa1/YrDhnJ2w2fJBfKCjIX3qk3ofOtwMlXwB3guA8Ejq/cPQ9mQoX7BOhXqjegMGN8JRTb/VvKtu0+gr+x78K3XZU+tWeDQ0p/ooKefq5JrLf7phqEVmFhzr3TfOQb55aQMNzAt44vPFzUU7ENhV6xgQcyYSuxb8xNYLX0fs03voyYJU8VoYJVmh7ow2RbDwVLvOYsOnJjL8vuJtallH2EadPnE2OSkYGBQRgw620puteVRS21N0WgqVsYybhI1IJ9QKjVwI1GZTyvElTKxK3Qpw87rFxwMzAK78QfhptzAH6Vhm/1QnqG7E3g1B3/WFO4DpIQxjl+UJrVUXtodff6xLtfyxmiPyNV87gT/PDLVOUKbOZahYXy5ZPjBxp6/18ArxFQ7kwxNgVhbEsBGzQKHcB7HvdUji3gZJQI/3cTaMr0Ww1dwyj9HyPabEN5V6ITxyhq6lJV82i6CELLxO36/WkzCRoZUduif4DXVI0jYpCVOfi53QZ+c8YzeFc8p4xVwWH0ke7oTuBPPjds8tU3NSQwMyH7IqoJoOA0Gjm1vq+0M/nrWEwPUL6wZihnljLB6MQl3JlsWAw7VmlYUjmXUb54du4z86hDh5U52Okg8bLCQtPlfy8ycDK7ZSQpJWeYEQfLxcrK7HPP2TSLKslrrfoKUQe/gpLdhBq5zwxqeyjEQLIz/lacXxY1bkYqfoGAJ/dB7FTLQm1eBVL+Udmac8h7ErefHrTsR/1+CIqlvMY9bYYoAKsFzd0ZZsc6wLErEm3v8e6vS9l2ZdktS/D3dpNAJDERbg2MEdn4restKiq5lVjds0eq99EDp5vc27z4+rgaR2TYNXf/tQvFJBDvLuTXCRyPGTsOdedvacO6StwQASmCzSdnTP/XPLwMccPyJ9PcvS1vc4769JCwClA0wO/VtZW5Es1KbDnVyUA7Cn37ExIgVUh5wghYdwnyXrmDHQOeWIVFcsSie/eRdd7K3T9YFY8zIFscvNZS6792KZ14gVZztE/O+9U/HomvLkXfDjQGyzu8bvqg7t1O0P6MTrA6PAZsgLiZ0Z/yUjf8PnKohXGl8KYdTzPhbINz7qrHdPVYSRVYvOggjuuMtm9hMB5yZfsrNK24SGHCfgEbYSJ6PkaP9jKfVYwjssKe170+emHo/TytU39eb4HnYqegxIdbQGmksNPYpZPt618Xli0yLuZknp516UxAz6vmF0YpFoejUaHJRqB/HltFCyjA55fq6oprdOWVdCvufFQ3d4Cw/Sxj82xBTmKb5EctkbBYctvq0tZFydDOx2MGwAtY7VT1RqTOGmWjUA9OaYm1t6rFhsVN1L28vGW4iiLqQrGkyX1lB62EGtCX2y3XDSKojcsTcw7cyXdoQRboIwMH9XZUKCE1wyfuj3Us52gcB/KADzS9K6MfQWDi4dgdjijqePwQkLoodEQpzdnA+G8PXnLWg1yIVdkNqoKuoUbWve2674ivGNSw86J9ujd2N2g9v/3Bdqh4qUBbmwxWa21MHPO1tPhRrp/r8oRd4RSXngQDqLxunuJy35Uwo19UV6suzVZust9lUMcVdxkjshV2tQeharGGvCDUpmFrz+OesDpYYi1kqsKu8QFJu+4cap2t7tJPk7UQciMhn6Lc5FI0rSb4YzsOI1YyErKZwpZAmRJw/s/nXhD+R09adWxjRi/83vxmgoc26+Vx2484pRh5xNhy46dyZ4ah9THC4Y0KyTmfeTOMr+EN8K0/0P/VC9xAm7Ru82hSJoK8VknHsDtYl3cMlKSxyJsiPboDMzrwATD4T1kn50BAsKBqI3UsLzDZrWJziILB883zJwiycI1cTpyKXWYBXzKLoZXPOA+VciRFxFgXd75SYMrvuLv8pfvepNJ1o/5YMtYu7n/AP3xJJ0CMpQMouxntdhvpI06nF8ytmgq3EjvbTWp1TTTq+PuI0cKFpGpisoFslOA2qCYlYqwfIcomMr4Bed66ysVaXMBL1fe0ga4tK7peksFQ6GBtKaSqrgfa2c5CaXDs9a8mBAP9xbbGGj46Y+uS+ELKHYkg97KTqeSmfqbF7JvQxYlhozNpGs1eUdTFRbRm6yW0uR4QI4OZpMij1aCd7V99WJX+H5BDQd3sXQd5Xfzg9fDxcznbBa0OklIm9rJTlbPuPBe2mS2lmkLZzJBbbi0NiwBFOZkoQdYQ895abbGpb2c84MTjlWaPUfmNep9TdN0xI4LM8i4l1aTbwnCREpOKz5uyA52PEwBv16QpWhlsEMmz36cT6dGT8oDQ7jwxupdUft50JNMONRqYD9eSbVnQ5K54QZHaarfwUcC3a7Mj6Q3vs/ru9PdWuT/NRBhFb30WpkjVnTuIuS3r4QUhI/W4vyJKE7cq/r5lLrRHGZaFyRjEAVLpGFAPDmozoLx77tSF+1jPx5qAxLSkJaiwweHXeEQI6Ye/G5YXJwv5IaaLpUJOaNGaJ+/ZrRD2KWHN9osQgOOZ9ulGMP9odnBRufOAmkUwa2gHvjuJl6JOlsIyjuXoq9+XSaCVZxpGpNjEwmtM9/F+SvCIUajsM3i4loRouww8N53nUP6okum5cshL8CKSloj0YGmy9k62GTUR5xLu/lxBNCwPMlq9+D/2LjDL7bErM4YddhwrGud+5qGqtnJn+WDXg4QO2ykj74QYMBTfv+MSGzCH6kDpbU0dPXUQpgPBH7XC+2xAkMEl9VwKSyzA1ABu+O/v4qbz2n9e1DMq3Y1QYIOcckSxZ+hluBNbtx08I9xuISTXiCeZXTTOcao8FWH3JdM5O3URw3CVj72QzCmoJ1dg1Ytw83HgwIAYAmvlmAU3xY24RCALVtDY+w/xo1Pcjbbx1V6q3vxxtR9WV0iixyAR4xebJGk0kCf1uXTJXOZhrFgsfwv0woXOnjJTaBOrlNjGuo7anvg2rO48T0wE4UyMjJlRFvb8A7Z4doe9asLfpUm7EZYiPRIGQZ9Lk69VAoXakRibm0VLy/Ctrlhf5Ye2Pqoq9e9uKrsUeqasT5TCcZITV3lV3x1MufDXENh2kTVLPX1tUUSMaWYnNvxctr0FerJ6M9yB2/tiIH6dmJyq8gQhfpYu/Qr5ES+kk0wdO8I9WNfnKhE7m5TlJCLyp35Yh2cTS5H63VCdWCj7hRY7Li2Pq2SfnNpAz21TPQVzewG4TRzxRZKNM0pkxNWwZSNqXsnyDckkpx+mHBMDcDdNWfgh19sIkUHqkBMaB0aSUgh0MSjUfCct6LPvTzLeKq9Qtznom9pZkB2LmRUozB5+q0XaB5jAyJgzl7+HPDCL/4c/Ff4FrxbVGhNazoyV2axm5c4B+oFhPVrdh2hXRaoZc2n2NhOFmvR1O1tnww4PZNhEv+VJ8yHn/E8OYvH4zV9JZZk1dt0k1Oti7MMwAL6wFpEQho2F3TcpudoITFqfolqXz3scMxRSmbj0j4W7a7gb40tq0f3cEFET63sRTDAPgZom2TGZZgSWoiR9eRAC+pKLe0a3op3K8i64d6r5k9xV5U+6+Mp4ScDL++K3ScF2hJG60VdQVURTf2NXcYioqw5JHIcSU8w9PQjEpBZI8+gNNEtfrvhODwqqSlfQpXnzM030prwwWhO0yWAxU/AybDYzbjxVaOKkm1UoNkp4hJSZElkvq1cOyDo1foiEaLcHYV6H+mAQCyTPTcyf258YaAqBUrc/HkzdSRKzQUneTbKUmz7jcbOqTkgZhY954JsXyapdO3F2faUFOFshT1VccEZaP9s3Rk1i8gsjEazFzYgMKG8hLg4+Ybib8Aq9SA7C3AxCjRU/Ko4mfV0dYp/1ELS+HRJwbi89Hl+PRx6TTT5DegSlqHJIhJL7j0fXeMT+UKibnG0FKi2xyfn/ap07hofRQjIUbJaEw1jJYfOPZvhed25hPfEdFDqEU0WswJqX5lLcARjLJryqSQterwMfZn6eKG5fIKKkdn/1vHvlz33sAP14IwOBsKEVEdbU4JYvzWJXpChk0JnjBjjxmU2TExPy0LBHVtdwBfGUrIgco6zstJWpSVqGaPDfX60T02VBeQprg/UPFIjcM1B4ZmH09aCiP06ed6xI4CCkvuzTdn80rpJeCf0rQs7iHABsm2DOKQanIUxIVVKl8wSBEglA1vDOvWIKqT/8dyIcCHm43AVM++K6v3agW1EIJLIvO5yA0APgeCqEBTyxVTt/594fyfH2XdUg1dNflWWTqVwsf501WFHEL0XYLARr1/x6Kx6T2aWbF8e6iXL7wZgRSP6B3FI5bP9r22X5sb0nMuh1Eku10OjvtEqCBb43TKRL3oxdYOeTOSZgEk4UDjMM6qgZ4o+Yt9bPmdPcekuMHlN/7C9+3Da+KMUBvPLC2bgr6UFOpDZgfieVQURDVOylqDJf8lpCDOkyHQI2m5/LrILgDsHcRg2dzJ/NYnyTk18Rf9uLOmbURiT/gtFm3ap+LivARY9VbTA8SMbN7C6sWhf6lEG11OmqCE+L1X6y2dO+6SAMG3/He2r+JjdYBhThCbg6m+XCuxNLPD4SKBIxWpzu7W+sWQOBuwP5oq1y7JaKrWW2TOy2bhA8WQP2UXYoXU7OIv7BWLPDJM0zzK9QYLGuC2jwtcLCr7ud3Y10XqU6ZcSk9vYGZmGqr1Ig1u6v6D+aqvgxhuGnBbTWP+VpDMFQB01a/pvUUA7A84Z/P/Q4KjQfA0H5ZO6+YF8aqwQvi8BhvRlLDUncg10zypB3uwNHkbfX0tZYDthCNZ/FACZ2/DA8K+sgH/ijeD89bog0qVXBI+Y+yvWGfelHPYlxxR0VjmGmDwzmvJXW+kt+4dxzdjfZ8aha+w1jONhsOiH/d7Sc+BzTYmri1/iZ3oDYAdd+4XqlFpkXzSG+qUZiQfCg/0vdnwpVxBGoZtRvX9oNJp6XsgyZeSwnbRIEchL3gvCMgf4JLkjlQ3KKm12zjs7O7DkL0j5Lvt1MEG/CAuHqOBzC/G3nXtlHt8dw4WoLyeEiUsouF5Z6C1cpJmdYG+l+naLzml0K15RXa5kn7COFqdO2pfChOM9gF4yvwdbblrmxo6untVIC9/PfNdzhWurRh625IFC4bjlpgg70zbkXRswDJ5PiLvoUMzXYl8oyuFyUl5oh6lw0ZLAkXtGIgE9KwWhv1VKrZgBxdUR17+/u9wz+3in329705G2fkQvIEJtk+60E3UtdXJPLZmpy2BViblDh1bmUi3WWe08TtoQ6ORtappnVVClJlsRuaQKeoNZ6g6HLwnDnI3tNehnTvGxvaOzh0QFjqVsjln3zN68NVo6TR8eXZoX4lfMFSrKVgPOx4DdPKQMmoyIy8mXsg9xzN4FBwNXmVLXwfnRicyfwLpIBovJN+orY/TvQTFMen2V0k57BeDRpMUp62Vj1/siFe007VsXfgkUeEQQHScDquDliEobtsaG7iX9ExAxiDuqzNdPtEQo8KEzLRzfFauU36sajMYzUDM1zKjQQ2Z6N38tuALC/I77weCvIpOPQ511m4UIG/G/2TwcT+6tZfinDzj8WEpB7VIAf9XyA35Rg1JCDFPBFAYj3b7jRghcN7WS+5sBo4iCQGfAkyip66xLnLoSFSxWT1zkzyN580U6KBLw9WUCwvSDlVGnbWFC2HuDxuYmFLzKd7u40ZItuiHgzI/V4iuz2iCHLitIIzeJeZBZJOysobTDDmVmRmTsWmjU5hkKe/2bhwshOdsjF8b7RgR/oTRsrGuvPmqZlDdDxhHOo9KLgvwmjGfrr3k92Vt3u3P3Mzj80AvPpP4OWyO9F5bX0WTjt7wt6UK9oGLaB5CuKnCK1Um5QoT99aNsrX6sKlwxCN/aPKt1HFO+HeVV35XrGkXuHrOV/G8Gqoz/PoiwKSmqvbFXiOZlH0c/gnhujDiWwNtCmZ6YlhZMPlstFsMGwuCXmQAuNNzkZtHSuCpKoDlL8nUBqKr+W5yauw+r22nRrihlmSAuzAe1FciIF4Ac9R8XneERwTab87iIWaT6lgFkT7uw1iJDHZv5M0jJF3T2RnhEq+bDMncF28aMASFHA+zuGf8Bxhl67FToRvjr61IQ9l8+pWvunbI7a8AVkVQ4yLyFZ4XEyhMaLq28M4s51PXLPJRPhGpU0Ge3DP668kwaH0qXGKiJgzwHtgPKYcsAmogGax/5PgfJY0n/j0T6u1OF7shhU33dkG75vHwNkkb6br2zWanrmHIMUm9sWoa/nK6aTWHz9ENcuoxPNEBqMtjsbxFWfLNBxSZ/QtD+9oxbHUTN+CU9qHAzYePySsI3ZT102dIwBO3MQrBFONYo3vVMjDrPPCeUzz2WzVigEVfz5TR7EZBY/ARycqmyUtc2RBb50fWK1bnUk3LDdXZqC1+u1UhIscQPUU2S+kPi2iDWxIyhVPNX9obhU1GxGX86/6/mA1SOjMsF2LgND/3h7i6DmrDE6R6L6i1DW3L5JDQY9gr4KZW5kc3RyZWFtCmVuZG9iagoyMSAwIG9iago8PCAvQmFzZUZvbnQgL0NNU1MxMiAvRmlyc3RDaGFyIDAgL0ZvbnREZXNjcmlwdG9yIDIyIDAgUiAvTGFzdENoYXIgMTI3Ci9TdWJ0eXBlIC9UeXBlMSAvVHlwZSAvRm9udCAvV2lkdGhzIDIwIDAgUiA+PgplbmRvYmoKMjQgMCBvYmoKWyA1MDggNzgzIDczMSA1NzIgNjI2IDY2MyA2NzkgNzMxIDY3OSA3MzEgNjc5IDU0OCA1MDMgNTAzIDc2NCA3NjQgMjIyIDI0OAo0NzAgNDcwIDQ3MCA0NzAgNDcwIDYyNCA0MTcgNDUwIDY3OSA3MzEgNDcwIDgwOCA5MTMgNzMxIDIyMiAyOTkgNDcwIDc4MyA0NzAKNzgzIDcxMiAyNjEgMzY1IDM2NSA0NzAgNzMxIDI2MSAzMTMgMjYxIDQ3MCA0NzAgNDcwIDQ3MCA0NzAgNDcwIDQ3MCA0NzAgNDcwCjQ3MCA0NzAgMjYxIDI2MSAyOTkgNzMxIDQ0NCA0NDQgNjI2IDYyNCA2MjUgNjAwIDY3NyA1NjEgNTM0IDYyNiA2NjMgMjU4IDQ0Mgo2NTAgNTA4IDgxOSA2NjMgNjkyIDU5OSA2OTIgNjA2IDUyMiA2NDAgNjQzIDYyNCA4ODUgNjI0IDYyNCA1NzQgMjcyIDQ3MCAyNzIKNDcwIDI2MSAyNjEgNDUwIDQ4MyA0MTcgNDgzIDQxNyAyODcgNDcwIDQ4MyAyMjIgMjQ4IDQ1NyAyMjIgNzQ1IDQ4MyA0NzAgNDgzCjQ4MyAzMjAgMzYwIDMzOSA0ODMgNDMxIDY0MCA0MzEgNDMxIDQwOCA0NzAgOTQwIDQ3MCA0NzAgNDcwIF0KZW5kb2JqCjI2IDAgb2JqCjw8IC9Bc2NlbnQgNzU4IC9DYXBIZWlnaHQgMTAwMCAvRGVzY2VudCAtMjUwIC9GbGFncyA0Ci9Gb250QkJveCBbIC01OCAtMjUwIDkzOSA3NTggXSAvRm9udEZhbWlseSAoQ01TUzE3KSAvRm9udEZpbGUgMjcgMCBSCi9Gb250TmFtZSAvQ01TUzE3IC9JdGFsaWNBbmdsZSAwIC9TdGVtViA1MCAvVHlwZSAvRm9udERlc2NyaXB0b3IKL1hIZWlnaHQgNTAwID4+CmVuZG9iagoyNyAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDIxNjkwIC9MZW5ndGgxIDQyOTQgL0xlbmd0aDIgMTk1NTcKL0xlbmd0aDMgMCA+PgpzdHJlYW0KeJyMtwVU1VvzPk6DdHccpKU7RVq6WxoOcKhDN9IliHSXdEpKgzTSCEiX0g2CdPwO973vBe/7Xev/X64lPLNn788ze888M9BQKqsxi5qBTYBSYDtnZnYWNgGAuIKaGjsvgI2Nk4WNjQOZhkYd5GwD/K8dmUYT6OgEAtsJPPEQdwQaO0NsEsbOEEcFsB1A1sUGwM4JYOcRYOcVYGMDcLCx8f/XEewoAJAwdgWZARRYALJgO6ATMo042N7DEWRh6Qz5zn9/BdCbMgDY+fl5mf7aDhC1BTqCTI3tAArGzpZAW8gXTY1tAGpgUxDQ2eOPIwD0QpbOzvYCrKxubm4sxrZOLGBHC2EGJoAbyNkSoAp0Ajq6As0ADzEDFI1tgX/HxoJMA1C3BDn9Z0ENbO7sZuwIBEAMNiBToJ0TZIuLnRnQEQD5PEBNRh6gZA+0+4+z/H8cmAB/3w6AnYX9n+P+3v1wEMjur83GpqZgW3tjOw+QnQXAHGQDBChJybM4uzszAYztzB4cjW2cwJD9xq7GIBtjE4jDX9SNAVKiKgBjSIh/x+dk6giyd3ZicQLZPMTI+nAM5J4l7czEwba2QDtnJ2TkB4ISIEegKeTmPVj/fl5rO7Cbndd/kTnIzsz8IQ4zF3tWDTuQgwtQRuJvH4gJ+dFmAXQGcLOxsfGxcQOADgCgu6kl68MH1D3sgX8tsj+YIUH4eNmD7QHmkDiAPiBzIOQHspeTsSsQ4OzoAvTxerrwJ0JmZweYgUydASZAC5Ad8uPpEDPQ/D8YkgGOIHfAGzZIArID2B7+/fObPiTHzMB2Nh6P7n+98X9j/ccqJgZ2B3gxc/MBmDm42QD8nPwAXgjw+XP/P5H/N+q/rMrGoL9ZsT0eKGNnDgbw/4c85Nb+DgDA6vp3TtD/XTEMgD8+AWBVBENyGQigf0x9PTZuNlPIf+z/vwvgry3/V9o/nPL/mfn/Q0nKxcbmLwf6/3j8r4OxLcjG428XSDK7OEMKQwEMKQ+7//HVAv6nnhWAZiAX2/9ZlnE2hpSIqJ2FzX+vE8AKcpICuQPNlEHOppb/yaK/FzQeKtAGZAdUBjuBHkQHwMzOxvbvRUjdmVpDlMUJ8mx/rQEhZfXnw0ramYLNHuqPg5sHYOzoaOyBDPk6OwRyA7wgPyElAXT/K8EBrCx2YGfIJgAkSh+AOdgR+eF52QCsr41tbY0frH8Z2AGsEkAb50cDB4BV3RL4xMAJYJU3tjUxe7RwAVi1Qf8gbgCr8iPiAbCqgSyefIAXEqE9pNQhQf/XxAfZYfm4hR8CnR4hO4Sjki3Q4glHCElz80cIoWj+xB9C0NzmEXI9OD9Z5n7AT9YhDM3AkO7g9PSbvP8YrR6NEJ4Wjg/l/48FQtXYFJI1j7cFIWtq7PgkOA4IWRNH4JNdHBC+tsamfzhBODs+vOM/BghrU0im2dg8eQkIcwugoy1EmExsnB7NkACMn5wOoQ5+AiGkwU42xk6WjyYIa1HJx/d8uN8nEMJX6c8NnBDCTi729o4PufiPEUIZklg2xraPJghpBxewMxDC7z8S8M8KhLqdi63Jg4hYPIbN+dfdQ2J0fDRB6NsDHSHN5sluSAzGthCr00Nj+cfK//fX/vwUFyQce0jLs7MBmj+xsv9t/ZczJDJjp4cjnKwfjZDI7G1cHkPlengM8NMq4YLEY+lhbwl8jIWL5y/iIPAjQy5ILH/eJBckEk+gI/jRAAkCMj08Fg+EvbPb4zpEPFmdLR2BTzwesh3s8nhj3A/5DnqSX9wQuk6QzvIPhpB1giTgI1eIWLAC/7gIbghVO9BTInwPMT+tUm7+h2NsQX9aedj+mwZmkEb7aIbwBjq4GD/WGQ/Hw3MBnR7k7k9XzseFRyMkBuNHejyQEEQfEYS+2COCUBd/RBDeEo8IwvkxtXkhXKUeEYTi60cEoSf9iCCcZB4RhIzsI4JwkXtEEC7yjwjCReERQbgoPiIIF6VHzYNwUX5EEC4qjwjCRfURQbioPSIIF/VHBOGi8YggXDQfEYSL1iOCcNF+RBAuOo+CC+Gi+4j+EixjU2ug8x8lxM/xWN1/LnD+s+HP6uJ/qBuQo6mLrbkN8DEf+bn/ElfI/Pi0yPl5/j7+z7MhQTyWHT8kCJNHBAnC9EmbgERh9gQ+ZOAT+FA2TyCEs8UTCGFq+QRCGD5tQBBqT9oAG4ST9RMIIfWknUBmHNZHSWR/6F52TyCEFfgJhLCyfwIfSuEJhLByfAIf6vgJhLByfgIhrFyeQAgr1ycQwsrtSceEsHJ/AiGsPJ5ACCvPJ/BB6e3MnuoY+0N/Atr+y/Ygii52FsaOLrY2xi5PuD20KGeQjdmT93hoU2YgIKSlgJ7E9NCt/qfTsD9ojJO9semT7Q/68q/B5UFg/hxd2B+k5c/hhf1BWP41vrA/qMuTAYb9QV+Un2Lefw8x7A8y8+8xhv1BbZ4OMuwPgvPHKPOgOU7mzv9qHewP4mNn8q8QHzToX3MPL9efg8+DFD0dbR7E6Olo8yBHf8w+D4r0x/DzIEr/O/08iNP/Mf6w/8/886BUfw5A7A9y9ecExP6gWX+OQOwPwvWvGYj9Qb7+GILYHyTs31MQ+4OS/R9jEPuDphk/nc3Y/hiE2B907V+TEPuDpj0ZhdgfpEzpKeb6n2GI/UG+/jdHH+Trj3z+Y1A3dXGEzB7Of/1VBSml/+K//moGAt2BpsizU2BTwSCr6qCWi0pREjfm9WGE5R9t4dE6PWHczrTT2V6W8oipr8cdxIzMygkHk5RnikO+TXmTvDi4GHHX60j3X0qUznKGkuxZFTti/th/edJhASQ3AxNbjPImha9iHcaokGEYvYF7QxenNXUTzNvJuflpI++2zWlTl38XYAsoOMOkTCRxfi+a2bYLE6FDSf3DeUBHDzMK2/FNsou6jMboLUwEKOpcrCWS6NJj9U1UysDi4tf03p4kzl85cl0VPOUhOES4nrKUmYOxY7NnzyNUir0Z1O2fCeXYd+4qkrYs+usPJWiJtik2sNdPDwZ3jKsjVkMPEai/cUd/b6qanT1ZsL7kAWY9Jcg1QWmxPYoalJpX5TWf/0xaPN5/vLr0ATMQwO3ePBTwuhU+dbv/M5C+ZT1KQU57XvQMGCAn18vOgJAFwpbG9xQXywedqJNt8bFJs46/mXDNZjXszP0AVDHzpow+/J0kWfod7MyML5dbMeVONrTnHUPA2o8dA9r9uoJUt02NUs+XJhAceDAnSLM5czcL6ybKZ3BznXe4KmSp89JLVwQtzYs3IeOUtgcW/detTUtfYri8DD7zMpuMxxJgpJwhBeP6AivHfZaPAUWTmahi8sJOhKOt0+dFCvu16xAmQ1Z9lZEu8VvrSNQtH451toXnFrMziQ49lYrRjPrlfANvLYV+BotSRV+o7o25w3ynqhkZjfWrvH6/EGASQBn/ok8sT+AdnZZquaI11gfiPi992JdWpzR52Ky10jcn97DGg6uwDFbbqCgzRBreWRfuCrZvf8eGKcKSVwxadu+cGE7A9GJf/qxMImyuIH7H1/xywO0bFCXIWs5fsuOLm91PNaNnkQFBzhqhn1DDKGjH/OMD78kJaaFe0HIpf2FXHfF8UcisXtynTS8KZzsWnxWXV61kbRK0o7ikvTPze81F5V1I6IHUy9mYQhtlaapPS4R+VCzH+yxBnKznv95j4S1x1qt/3ZngTJj3bbuYH6MsYuJ5nmm/naKP55/roLkkPymmemSJw9u0jKLJ2/SZucun+1d2z8pzbfXicgOj8aspgsAodLO22D3EZII2BuLR71OVX+7YfjEkjq01IVrqG9wAOgO9z+o6OscQP7iHjiiNh+aj3uVjXmIkXsQTIa8voF9R08fuzDbM6iqx4voLXfSxqMR0pZKFRX2TwS6NXKuS45xzpCIjaz2+2jfI0ySsZ4aeqmwxYtBkk+3mWO9GqFR+VUSpgwiP3TkiyzmP/oWO8fn3YadWphRX/kA3tWZr1Gc25XxCV2koAbL5SfKCm4TPBftTbYSSR9YQXJJHSxnibHC/0SUYG1MS79NHSoqO/J678MlBD6QyBuBy7Vi+OhOeHE1VGhgWSB/DXDbMxXjt+dOqPhzu6PsrKEKlXlEu2TvWnHK1fVrKppfpSV8AQ/AEjGONmNKSxMhliCAe5ZAKESrNpm6Wn19l0WIns/DIKNF2mW742PIwg8lIGXsqzwzYT6DMYNi4pBCYkLiX7Ih4iARTtD5X3SX8Fiv4fIgrknJf3Indgx9MqoYnO+z+HY3JeL95zFyfK09XIYwof/WH4CV3RXhRkxMgjszkg9e2jKwN0g7LbRL65iuNTJfTEkluIe+AuUPDrck4BtMyDvIqX9umKx+OwbGsrPWqQfYxe6g2lJhhM3r14pieIcdPTmWNa6j4i44akqdZUOYEyyoF72R6Q22mZAkkiELarOcl93uY1lb1fo7wk9XHedLNZa9+j2p+hay+jR3BR79YaC+kN+mNSmfS2ELTttWsGtpnaPMLx/CArYbSfwp86lmgFXg0NAgS2NedFaImAOpUbSR0SXHqNC4AkzLkO+AVzKE5YNR3MyavgMfEke+AHELvYxLYREFXFCRJz7LlELdHB886oBlfYaMf6kP5LF6+6lCJ78LlxFOl8wlbM7dU2Bkr++Ie1FGUbryD0lk3SNQsJR/skdVqQ+BzNIEBzR9MpzRnZzCtVFtmpyh9PzPLMjvQ0+fK3uxU8TLc0gR6hJi/qxuQturM+Gwkb85SKNpPQvBZi2+0RunauXUAmGyqDJvtyhONkgJNLOurghj6r5TUu0O4w2eZIm+zCq7fL726TsNQiQe5g2UBkgLLzlC/2siGhMODbffL+Qioei0kEt+uM56MaPZBL5mSoi1qWr4yjPGFO4/UTVu4IBlAyzVgNICuNZt8ISZv2fvl9/0pYxblr3yPsOqBDZPWc6ay2/adX2bd6iWqCk0iyj0/VkOttCbaWBnq6iJ6Q3Z1K1dCCXvz56SbenxPUFF/c5NPVXWFjeUcf4qAl68pWVf6Es4pNgw3fnI2NojSRKbT6sow5ojduFnZgjrM09idGAwXgCZh0/Bs6cdraR82eGVvy3mlOes3LVActfcKSUtiZOYhJAwyxAgzZ7d+7PisuvB19IRIHrhN61W6q5whdGvC4yuTo8uCvQdnAE0sAI4Hw9BzModiyW2P9QFJZOwXwWULdjG5gTA4yqcz2DE/4O79vwF8CSXr092PBftSGR3YDg5xCqh2ZVKAjNwiYj6aFhvGXP0kNEznd4BTfp3SSmsTdDUVmBhyGXL+13bOa6HrpF+qpIvp+V0+sf+8+opesiDm2hhOWkM4hHdMOxmWFNGZKHM0ccda4to/dD8HDdPK71TQmnIdvW3rAvI1ClTtrPCE6giZ4ew7bO5Xzj1ay7EPvolrnivhMd6vTMaeNlP2BdRy1794ni4arID1Bp65G15h+Rptv+Q49nYQBIukpvULTeX50tSZQimO5MYdAa5bzaGPwo9Yv4+sxryVJm7M6p/98Ct8Vz5mcagydPw2cm0ON77Z+XopVJKl4ZgXazVLdYWz9cGxVYSR20gmPcSOPVwN19x1+N41Iz68ipm8l6Nedp4ki9xc59KqmTxRp6Y2PTP8O3FP1++gcn44CZoeks4hGrRKm2rlLexvV54BUKuRY8oiK3N+jJGfDAQnmorGUFJb9PPpxmeRIw2/XBasJCxENdZ/SUNNUwfNKF9N4GWqOC6HRt6ykt7qngrXpytRHHobrb+U3S8J1r2zs5dtlbE4+c7Tmvb5/aniUIi5BhT9UR9UUWEzvZpqOvv1NtLaLGMTcnkfb2XCT+7C8wChjDDFtlBNeLAH7cbzOQqFj/uJpKmMWfBx/HVytbjuoiuHtR7xqTDgm+s0PMYdchQX71/oWN0Lv8W6Hck4bV3ixoG7h8FjDmcDWz2IZjINd9/98pqgmQmIEhkjcSJhR0Xahl9CcWRo3C7wtsChbju9gaqS2BLJ/zCV1DWMUpZhTADeMtgDBOvw50HLIFn1mR1l1GF/KZvy2ttjmpNu8Gpe8j2P+76dQ/SR7Sv+nf7m0sDi3rEmu5wMgTnrj9wZcZuJ+S6EII/QFVTMssBC+UWTZdLzA7tqgZcxGLWRYBZ1kEjhLJ5seOiNbZ2BPdez5n28d+TphmPPD/phRcBGSWPn1WNy7eN1jv3WP2fijoS5YKDqWeKUB3CHSTld8KrSIt9x7s623+3UdK1lGdSojLVavn8bJL26tRTsLOwXEP3sWr5VwbZhlK/G5CQOLbBmT+jFmOlbm5qP9Ez0ZPn+cauGscotaF2e6+LqWtPb80dqUc4rso4XI3EitKkv89eCifcjkRG9maTFp9FOq4sszD4eIcdb3ubw1//6LpGL3rSSVdf/1gP5eSVlIXoE+QeWiSTY4wWtiNsv7XNLd0jZmWSTSNr0ZJK3YeJ0e0nLUsxmYgMV+IaWdsYdeiVOvxiOc/J3oiRfET//Fo9jYdUp2LJX0S/sPX++2tJLvKLSu6D2AzjQEX6mTytnA2OH36i1guTryVUx1axJuJ+FMPEWhfl39n2USGdzw7YPVho36D26ArLaAIjHGr8AmzP1hA1VPZsnQYbSgltV2EG4886k/WYtFmVYcJaCCt1oxmhTVRscrM+a53ZEWxsYPntCi+2ykhXbu6XyEWgT6IgUjF4+iZLfv/tqY/ZIJgAJk7H8+fe8BXptXNMMN94Ew4gsKvatVgd4tjnuRimtY06y48BvhOOUxpgCn9TSTAQkS7zoVcXxAtQzNH4iFBg2kB/uqQc22ftwPJuAMlUafrkJV1XPl/cD9bjjJdf7EsLU9+REsFVSz43M1b1ZND6pVZSqM76ZG6Si6a8XDz6+lc3KVVzUDaHM0kEPcVCHs7WUJi/4HpiREYAkUFydfuo1FEAMi/psolfqGTo92epVr/zN0a06/yGU0GEuo02VYyR/LbKij07k14a1eZda03xsdk3fHvQM3bGX2e7qGXY2Kqgft2N6Dx2cVKK849cJ26vkh6/6IpYUbRdwzanI5LIxZMJgY7YzrPhMTdSiuk7U8JftefGKHGcZCzInueLPjpkV/Qk/mkE1SGn0KU0Amf2D7xtp3r10IUgJoA24KD/6ckzLBX+rdTFCmDRPSwC1Bi/F8XGZyFsJKSovqX46Uh2Eofw6opvmjgPH8iVdhQzlr8HQLIGeRPQP6rYgzxD55IlVP9gQVOt5V75aVC7Z9tuVVmj2dnXCGPINT8cjfl4Ds5GaJhNgsWLDMZRl2YlsO5yQTvs9sofcNy+dgmpVpKWgg5SVnWJ49ujLxDL9GAt3pdHOgoZ3XO+p2hz04yQ+L/EXS0Y1i0n7juBQ6QcevAdLg088+Q2zfIpQk9NonGh+eGsHYqKXl9zjqwqFoWJijzruSx3Y+Fil0/qiIwgy9A60q2iL5/ETKdA1URFlJaOi6eHE4DoLZa35qmFgwHOi0GcAg6JANHawnUJqisauvz7CMt96WWjtXpTHuEsdLWUbpEbcmltyPntGIpEc6p/L+RzYI4e/4cdwESV0Tz3jDJ+hEDUTvEA+Z/z8kptCDOub4QfzdQO003jJL6m5aGhlUMFFyiy1MJ8WYFx9dQ2OQ2v4MU4u638wXA+CLJdGll/0NQm8Vhcyehus8nYWm/VL28t8zUVY+27aZBdBuV4hCa3LRLWd/pvcj5GDZLdI/Ml5YhYRBwsGyZJ6dAUbFK3vJnT63VzBFRHh8aToZxHP/fpnzE3KLvCSK9EFHKxtyyuxABYMznNMkjtKlo3zusaZu0qhdhNL0nGp602N2AT1nNmXpxQ/6uvcg4l1wE16W3tRhN8cfcmpGhMPduNYAcTP+O6ai/iC6+Cot3LS001mTbv5Pr5tdeKLvus4tb+5NPksTYoFRPeHupyZ/mCOd7I50paPUeXUbXW4nCpkgyZVb9fb7tCM5UJ9CcJzuGySX/hectuY9/ykblG0WeiiGfw62vY83imKTqaG7Qoh22qHHocx+P4bNF/7EsdztcrMtq8FCQKVL4I4zKXD3ks4ptI+H0N6bjpbQHu374SV3yruS/gZasT1Htlm6z0n3HsZ7PBlqXYVc5xxywKgRdRb4gEqa/vySA2HaBszcLWunxDcx9f4iIEbKuWtynbCV15JJdR1nfeMnMj43wulHGud9klsQG4Xb0j5rFN+/uRWAgRnWmwQzoRM8k5Lrtf1S115H1akMU+z6VcGus8YNp5QLBJBfa07NziC9y7VZejOm1PqoTnpUChLDSk3nod+SyuexleZAWv17oPdCmVrrjSNL3rGTQI5refvpAq+/A8r8/Wcx2sObsljL7ynYokVcCs2a2MHyaIz5EVSJU5E8cKUXKoiqdK2vWURQem9JH7ux/gkrB67PU623bVtlcM6p933WiNRcp8Ghx0/3yesYYeoeOfE5E8NXqzV4vxWtXA/ovgJBzbDBEKnX0w7v/DIHPbz0N5Vxn8Hzn1+w/6JmYXfjLluKrUhsL/35VYUkp246/Swk7F2uIzD+u9kbCyhaYURP9yU9F9G1twLzHe99lIuqmgidEI8b4ddSbUkzRtFFNwrlGiucFChUIbEdNUv0N9R1o4x7hHX5V3mKmD6hqZTEhKE6gDHXasZBMhGHMDTtT9m5HW52MHPbEZfbvUlVobwxjZRu6DUHIrkW5rt7ibOTVia9TSEe6dNeQ67PEvAn5+190A8Cdo0QxYJy/MTe3E0LNol4USGk2xMNRP0A6rV3/SOn/L3VbwleS0CMqtBoD3mlxDVc2LMdIrZ4Fb0NZzQdWJTrdJz7pGGuiLG2tPuVSYOBEvHvsV524FbWYZ9aYbniw4hXsxaQEMJqRBu2xh49Ty/JFJWSoD93WvD43Acdu5toQa0CXNHMWpa7m89OjmL9b8cOMMcBfPe0p8lmLy1xmpWKtMUHITNSasbr+4W7xYxse4Gfd4WPpbNEdVExp7FUMw8VLuHEdt2g7JZGWSacr1el10yYVGKyrxd8Lm/vd3Wnlrb91ZDp94jmtrGC9wuvOKN9lIYr5BAcDWWYJC16QAuSHxlKaDwWltgh6U9LEtDS0fR3Wt6U6Jn+sPLRMT2PdrLILBlz8GEGUbQhma5Mxz2F+HT3+arlZwRfQYp/pSy0T8+pzh9Bo7PIRWkYWz1YgmSaCpvzPGFBUMRVnMy79UAmNsae+DH0uMkqt9GKKyLi5/mhH+K/802GRHEAX90vxAi3LRINIvb/TqEJtxVKVH9pFaDGBm6915z5sqhEfErkidqR2fdRCi732I08fNa+oZ2ICeJG0wKEneL9/fGt+4vzgkUUI5KX7Baar420REbKlsYeP8tInArZjUV4fyueAL6ttJnWmVUpULnlCBCdYd0xEXY2ES0SuzSNuIZ3VF2XHqx4WVkcEOI62l7K87ZQKGhh/i+ccoqx6YhceocYpzpZtP5AJMGuyRlFIZx9OHulr1lu1G0QnBnO3ERmw0joUSP5+aJQDCGsBMXrDQFZl1xCoKI5G0489SSY97gmJm9S9TzpCNwkGoVwsaAfuf9XRUFRfvrmAJjfOUjJ1qhOZJq5p5aWfWVUVe+5Tgy+T2z2g/hY/eDtEOdRSW+v6tU1p9TEiQ28BEXwGCcUJXYHVyuef/4Zf+dtEbBSfBSVdMVT2+8M6r126hKLkbvdAWIQqfDMud7t0laGN1rMqlGP2bCKHjbmpLsC5h4TrqN/U9tm6yd9O5ii7UrYot8W0EtfSBfKR8c8ubAmx06a//sRUMKfKevH4X3nhfHhXggfNNoEoLL99c5EHPYm/kWjbQid9jDuzFAOOgw8B7pdm5Di1R0BBZeOKElVcPRUQg0kp1J2XZQn73DIR4rJEPXqHQWcP/LB4n3md9P/ximYij05JKeilPg8CURguKHxv2eQIwpGQJVuaEzGNHodm6LBT2mjPD1rJNfdVpLwpuB0GMW9V3RyNGNb5z1QgwX0b3VsIiPvNSSb/XeXg/UK2lp1qN60pEoSIjLjUkz1L7HnUY7kewe0EZ3LYK+/zqKMFArr3cFu+BdtEe6xVbvzrQdWgHDIYPf00R0RKRVmP3Dlz1HUJomPquUgbIv0gJtnu3HfqX1MFbzothyp1R8q3XB2Wvz0oLh3ICDurwJ6fPBKLVTEz0G0ND4stFiCX19lmpDPIo7HCaeHEy2EfL8hUL89MnQYUeEWpBzW/ZwjdKV2gZhY7+vpoccLx6h9hU6H6tdvgejvaCaNbTyGuwZNvN83LqpW7TsZSz8vFr7vkzPdcW7gE3WS4cu4As40TIKnXfa4t8G1NQOtRI+iA17tYcWXanbVuXnfGF3CgmRwZ2eIdXUGtCP1SUB8qMQFW/4BYh5PFul2q9N8E2ly7qWpYBNVQq//rl6cBNprzwmXhlnuSa0q1hbViopb1OvhK4mPuLGGgyzmBAeSrwSCpthTY6rpwsi8vYWnLA83VtOmmeeRnte9H62H/wqb+9ynITEUyK76tJ30RcBIWRvpxwQzQSDewuNe7L0lWYgXSVAR45uQxy91ld4Ugk8kukOc4CwKo28m1C4ICJxhjIec8m4VmAtbvtByaeo9tPBLLOUKP0kN775JWpHdag+PwK3xIFvKAqrUqgZ2DrvRQ9M0/RkQ3Cpr/43eT5O1fPfN4kDjfWlai6mvB31X9qrGMBblosSSU6tBJdkrBbP+5TznP08VdOC2MSB2uafxAehs8af67mY/c6fwi3zG277UD+Npoul0/XM6ndGt3zZR+xFEoKijfKylD7atx0zRC4wKbQuOuuGTLJWUlDPmmEi/AzeBBg+v2DRmEYKOwfwsP/w3NZUMQrX89hyj7WdJF1jf+F5nLHH7kXkkchLIf9LIpzd9HYgDD05VlwufX/UaxwIJVSF28NP133uXChC1DrVAf9a2YqNO8jJDbfnHh+f6902AnhbAlT2u9yWByhMMC8d7dCYGPJhRc07grIXJPzynZwHTNKgsiha/xf1qCva2K9mIGlgzuf3kRiT1lpb4OGALQMBFUSME0TNSi//U/xXzVKmSxKzR28GZly/KCygv0795VdWu23zfV/FnHFublEBgYmXbhgdZqI1JKHmlh4jPfu1fOI9GWcFOr/p4eKPa+W+lN0wvNJb12rzI0mfPaG9INypnR/0xCoqL5aUx0nb5dTIPDz1lBLkA8NTfhcg7CCg6d5MifJxTJllubCN4ujLCrRHSq1IcKaBEZEKj5bTxCns67qr0KZ0bcbVSNAaDEtTTczN19suJVeKasaaXhrU0nDs1zvc5o5GSGcRrFEwldITwsJcH/lZ+wwxFZxQDhl3F6S8/DmVpo4mN4Jrj9Hzc0SFQgV1eDV50B2/msPbGgHmwD3tjpINiiq1tyWm8E6urDBfWZPxw94OHAMGlqKlILMOs8LOAKezsaV5AWyucPd5OpABNWJuUmEsyDGGtvQGr+QC9cLLxVuFKQBnoaZg7Z3HXFuiMhVPZKNAIcFodTlsrK6ATuJODeXcSmZ27WLvWvyX4usYZRqmZYbJTwvxhIlIilGSzeSboRXl07GxfJkarmsv+36mJveLBR/QKh8ZT5Iv5oTTqnF+uqlD3BI79QFuafvFnbfc+ZjlyEVBfQhz1WaSvuhVcKKhrz5QdXfCLR1va8kfGOOdKErnsvop+fXOqNQLhfAdcWqSAt7PdZq+RTWzu0NNipkAhnFu7DJJ+vZd5pwvJ3J2rjpWG0LX0sOA+F4WoghqbaUVblxS5iai8YLvS7tFtrtiNtmkJ4xxM+mzfrCNl5p1v/nVMsabpP1ghMisLI3crD2j2rvSijxJ1e6LlpPnrmWbtDcVYS7RfC+0hKi13pmgvTqamXpn5hvd0HNfgz05aqQdG9xiiKihQVSmSntlF0/yKzma2jp/KdfpGonv+23E9FhXmnoK7ZGJ8pivSi9zyEXD5u2tV3/O607OhZbzhttzHvMSBe8+Ax1TSspjTD+RNtvMdViSzCPNHfhywwNLNp2yqpa537A2NfLHHbpz1m9iB8VWvzQv8pXY6Fjzl5z1FwWOl+8ZXygSZBF/tNY4I6mntWMo3ZCEtd9Qrj71JfjUbxOODOf6e5dk8Cq99rK5+zgOhkdHTUzPs/JO/dLcSq1k5nouX+CrfX6aYK0ILtglY7L5e5qbZRmjDHalw6bXUCMwSmOrSYbRAsdbT7bHSfmjk058RMtFtEP/7pvdRI+zmtBYGuE1ZkQFchREMu9S5/F9LK03dYwI+PbIXZSvJ6hTVhGYC53426iFfQMkToePlqBWKDJ232ZSowMs9I+OTFDky2RR99N+Vd6fRqYl6ePLpw2CR99WC/Ts1HTNSSZ1DNhTm+5WewoWvZ46Z2E6Du7QQcK5cWPaJ6N8c5axgYPbWZ+DX40Z8/lDwrAHmu3c+BBvbObLWLPkIt7heceT2AxaKJ/2WtPIDna7kdyFVumjaJIKqW/USKcfvBKclWss5fMmh7Y/d3C/ctjhPAhZnqHYcEXjUtG7oY5eWYdd2qrX1L8W/HQx4DCt33OrmjWEyd83qvuV8ZsM9SRoezFzKbVD8fogbDRiEpGkQ4S43A1VcHfi+Scc/q63+v0/gFk8+cIs9fivjHx/ynuOs9w/b452chlY1jmP2RRPpPV8/aqDiNC8zcqJbriNmZEuU6FLosgcK39nDTs8RWCrvKb80/BRN3SIdquSWbhEfxo09V2g0h7/T1I6gZM8JcJUgpKEfLj4whb3DyY3LHWAlM9D68MizX4mnPk0o+pwTYULG64nFd9TsrlE5KvvEP3mVEJ+02Zk3+l+gtmVS//EBtcjk5tnkBzPXXoQAK3sEjnSj1lbOLJPyTghgqrj3KNvJZgQPVT3KgbxyPUVltqnYCNTuRDgGd1rcun13y2Im5c05Tg8FmSZ7z8rclf1tqCnL9xlYKkJIktU91VPlbuyTifUm8S8oTYM9W+VD5Sui5AOTISOp6yWJXA3VuBlhOMdGTeP2ds73lRnq85c0LoLKK0jvPtQcQ9g5CVNyJTEFIbLqf6JoZshSeKxMLXnM58euDmUr7YejYmYi/0lrrXcCFPaUoujKU+b5RX9mq5vDs0oNc5FItVlldZ300ndFBpVb8u1zAoRzCgvCX6hu8Vho0VHsXayWvL3jN+wz8h+GY+gS2NG71Kn4nZ5qffIe1R+LUir0jAMClq1bHNSVbU/Em9qn1TI/PU2FJSNBEYJfV4x2Rgc0krCR1tKrVeV0KHv6+HpeIc0bj0pzzBU5i/ilBE6F0nBfLnLggR36rcsjacWQX2AlYT9y9843WNWQOHmCv+I55ruBZVw5tV3T9qZklc2FdXv6OEl59QhWv6sCovQUDPPgjk9Ymw7cwVRvt6yp0NyGE6ZMKhjZUyhzp59QoliGwcnBkjWP6kxIL2KkSHIj+1sxde92SyLjmBmKFeq7Cl3b5ZaTBiEzIvL37D+s+UwIKCMwiqryyVqQdJzMNUF1GyMZMZiyIjdTjMg6mn0YoIo3MtbUKxL93eFUvMi4BBFUY8M73a5UDQSlYfMOHFZJxOqxBH0w1DVDw1jkeVtchrBMaHDVH09d4qnW4rj+e/v01CRG79fffLJ8rmyAZnn8mFYtAdNb3/8huqCnsCFTa/yumu+cuidtQo0roMY+jPsxtyKFlzSwaHU14x+n/wG3tRNMpXN56KjMS/LpbIjCEPbY+EezCZ7pS8VvMuFK0VqvsQ1nuicmWywqE5LZ0DoUme//JSMMJoe44VolSKIYT51vY34XEI6qM16vGn7Myk/U8t8lWfnlXCdw/WwBIWNap9BX4PubCdvr36rU9/O23F7A/uylLr9HDymX1wuMmsUdBf8wLXF+aAC04YD5J0NR+gyvKCpXF5mjbYquJypTxXjypVeOgkb0hKu3qdOw+RloEos/2JCxlsVv3ODQ+O27H6MUoaTFYSZr2FG2+XC1+GRqsCTBHjIyDOeK3qM2oUacQ6jqrbc2Bn0+ybtYGXgpKN1ImOlSkLKaa3YCb/G6AvtK7ESk7jPFrCO7C9jemzTJmg0KG948+iYz5f5meMDw6+0SN4TlIXxWXlYpyDOBVChvr0VtksUiHi+ly8SCN/IhebXzzXGUXsg2HEl5pr8oj/G0ZhpZrJjxXotAsv2+WhvbbZzPPZ8W7CGScHS5iQni2mNnjnSa7MiP/HqsZ+MnoFqpxQJlQsc7XE5SLyikaTyjNJUXC33uarwuzxsXSMtozjJMCN6Nzdibyzl8ZgLT1owNoMQya2FKaF5Ub+HajzzQLKF5xr8QKveom11ut07RTB+5D/nsna5w1m+crmyQMn6K1no1RV6dOM3i/b82IVQgag3sXzUNDWxuVFvdd+87XeMREEokQ/yxYOmbDmnxamLGIme+fnr2fSLO7uzCGvZ1jN/JcTbtIk3bmmNwY5qONU7IUUsWjDhdLbKhWPfQxyXyvO99ait7DpYnr8oXi5T2kQ9QcGvgtGu7NSvxZT8HCBZL9qhItrfRVFpLAK289c3WKN0p5PFZd794O6sC7MkZeZMW6VLD2qjlYsEpTFfLvskOU9UZGQC+q9Kptx8iWDkUOGCkcOriKDUvleC0GPRBSX3OhFffT+FoTrBLEAV4/5MrVZfpJJgTxFLboeVUxrSiBezYu6bN7tjXmo2mSwJk535UupzkNk+HonVK//PHg7NCi+VwDJvK1MT2bIRRMd12T/Ecd2//arK3w+PMMx9PtXssACuPSV9O6/2Mo4crLe8uhFeNmzrlFDDMrlCJU5QDTRyU15WUfhBRNYPz/g8Z8niw0cBrpyoKvZ3yLXLqx+/3GhrstqYKPdaAqBy3G9i4dumcxrRQ+TNbz5LktEh3C4jHbyaHJJa5UkoiC+4CnPWpLQ6L96vVt+H6yjhMrK3NDXrFvIrVVbuUx58rcjdwtTwgjVw0dDgOxrsUVz07BiZCZ/xVJlO0BBS5rsc1QJ8ua46ie1cVatPr9RfbBrEzct6bSzpisNpBrdyCWGjpo/L0UzG+qEL2Awu/tgxybYUnvtdLJYXfZfFrJgiqc42qTP8Up1I/FqBCCu4AD7cufjdBYT+GZ2ozWbwgqoZd51uJl4KnjXddBF1OjIXjZxbkxb8EkPQbAOCb5CXuxGTw33ntU10SwtHmVsz1QpDcG7D9ME3RvoB+dMTlYlPzXE/XsBx24XlqB2hzZrfAQXcIgI5aUf8l3U+oxKydNSo8Bos5oiMS7eVYWEu49aobGtfmxjerca+YB/n/YVG0xDS/3Vjc+1nXweVfzU1m+dR0Ldvn/jt7AgI4ONzCYSGnH8oNPfEkePFhYkqNr4MbHVxzBEc8qccEsT0lOt8hxNUymLo4VxOgMLtYBYa+Y5udl7/gMXvUNgnUj+ow2RQLpB0WYjpa8zSOaMaE5w4R25BAytxY6jkYYCIxGtzi1VXnJhdTIJJR8VnYDaqEQuijzjPK9zL70YRwlGgZ1Soj211D9Uuh4c9sD1VvTfcqgYyHXWt7s2rj39l9n/bOQt3+gVn+u7GNlNyMspo5d5cPoCo26ufYfFGhbdDPL6iPA3ccudm4e14ebiHpo/6qmw3w6c0rev2S5kWDarex6HFmUso29M0Detd/cNBmDhVHIUq+58suVsYlB5WMh/7LxcV7gYojtobTbAEGdI5Fb+PmUkVTuE24zvQI/YfaONHxQ/MPMepRGXl1yA1DW4zGvUQY/+IdkxBjVh6NQvnZq37Oi0CI6qeRekjZ6J+rYml6TcosEEI9t7dNUCuq4AN7kdEQX/oHXOedldzOh8hsWQBgiSVY2jubq/ptekHxc0uzNeD0ctmVb6hLY2/9aram1NRG8Vo/fqbKRNewFVLbLH68B9e4Q99vlu5nnKWJSU7LUrcX1ey2q19KcUbfVrY04ovZNLUTwEvLDefF4kUvBSdhS5hFgCgZmrn3L4iF6rTPfLu/i0fC5b2Hz0H+jWaBS529fC9KHEMSgz12rjNDIeemgrXzvdv3BS1V+hHbP1MdODvcUtXSoLpHxXFA3+5kw6IZGLDxJCWEMwLdpyPEWm+TiK2Aqmp091RylzieNWRY5AOtCSdBGRIe7PCOh6wyIwvvK6owrmJVeJspEZsG0zWvDqF+zKVzkFkULTyuYHZmooT4w48BIXGZxZdlO/GJpUVG3PGJnXzvgtlhtdZpEu8FmdnppN//U1dnHE0bXxb/5S3F68/tvRUD7vkL0y04U/pgfRbt1iX6BrEF4uw5t808NF0K3qveyvfD73Dbp8JI2nbj2u4yQyj6yaXV0+VDJFqphztDyhp0HJ9JblWdZ7njXlaR4/01cKENMOngLJBTLXmSrfOy8SOs4ndfsod3pD1BQ/RVbUWir82BrnI/Ay5wbPO0i/fnv2eICL5WJoekp7KGSN8oiqQBVI993EEWd1T34iK8RcS2+FSsF7k2usm4Tp02HvCKOlcCxFhqayA94Ivi+kk3oOKdl9zOCCW8wxVHOM3qZKs4n7GHcKwYPzkwyigxatLTHalGXPgKb+Q9MVG5miCF4nQQ+JApbk0sSOWGraqhKnH16oYtHzm+fHma5Hhj10q0eh5YwHjIkI4oVARfBI6XC296h4c+RTeH11xxvAoNj8cCFRl7bVRk8iOxY2UcSPDWrTDbvKNBt57wFN9z+ruJwjAUhylWefMyanp98UbPJblycIVHlJVEyROsrH7GA3ITZ/nrH7Fr8UnnrxbDitiYVH9JVpyHVs+9203zIJ0+bKDw6tM0q/v/fo+BSp/kFVw10vVrXgZXIw98/PsTCzl/fVQvswRdJK/LKaszasz7pYdidznSQL0g/hYl+uCW4QlGDmkWmo8yxZN00jSds9si5Uy9OE9cA9rqCqdTazQd9I81O8G4uxFRlDZYKBdQ/EjTn3nht7SXWi2IfZgzHc3ElUwMKjv2xTWeaZgIUR0uaaAs0INv1JEu+nNb36zi2RPbvbl4PQsLYuw3ACsligoavovzK08JxmXijUZU/sVQDeiRPYawQAcie38SYaCQL1PPN+MgZA3V/nLgZE72Tvo20kzsBhvGPWoH4egXqH+jHfVvD/WXucx5qU4kdivEuvvfcgDnInNNJSBowMY7lEj18K2nUieE8J03lIl2VG+GZRNpPmTyxyjWT9W5V6l591r2Ucji+2Mco4yuWEIstXgPhvF+/gNi0RfFEHR8AcF91CWAwG+q5NIZs/VoarwpsnSMwlRLJEiToxrByEfeXGwlRFt+v0gKUVF3/sgtkKcEqBaFI3odyhdPagz5i76ZjqJVZKYwXupTCKULSYvXvGvkldvlJfjYwa5faBc/ROaqrDlEBSdrDVViUem3hH7OXuRiM18WqUmIZ1hxqZJbTgn+4G/LHYnCnW8uLlpj/kFq9bmiIcgJp0BKpued/T7yef9TXqnK430jU49QZj3zwoxdNTKFYkUzTyqKDXaxYU7f2XhqYfxb2V+Sohm6OPKwLYUsjWeDGpZWUGNL65DAZgleN7jmKLOhZh6vY8KOrwYaS/rEznI0GYW7CDJIOJkP4mUOiepSfJZyJokr2c3++A6bwg9IUBJOlZBFhupaZNEBe/IkGgin/xandBXx7lqGb2Vt8PACyjbtQRqqAJjHHYrcP7+xPfWVBJqXx/DjWrBgukto5fdnGhO4OWt39yujmbsF5qQsF8p2zDcyMYfv73SjGj61KqICUN2G3uYZrXb5rV+coHZnaxsT5wPdeTvWBlKN+3mDZZJ09Mc2FTeYSN0zBEq+AnMb22WW8pZCGbar3nrksiwTaoX3Fevx7F40riA4EynPchYmD/c6tudPD9ZJRHsCqXcQcxCPQGa0ZBinr5HtflwSfMzNjRyS7iGrdPQMbXk/kTnle6dYdlKBO/Ym/e5XLSJg1kGC7I0r75y52Sk2ATKG9J+vb5jJ26mI8ZsSbvEDtfdNsEM4aLLsD0jmZ6JpCYPWLD33oOerULGBOcKDtvxxsnibaQTNNKsWqEIHNrM2y/XJeM6sG5lIjXXqb4aHjXAxobDWZupjoZlrF3wJt6BJdaEpifl0sngZlc3N4t/rSuu8QaJXetq9GY900kgHlaS7/272Lqd0uRV8c7rqoZ7/aOfVdSuiREToyw3hHq5r+UbSWuphjm2qnJkxHBrL7UXfrUT+XMccme9o+1+aYY44G0y2WmMlwS8swEgFMMggt21KCcYa4XkEHVXP6N8Efscef3mGzeDl2xDY4fPyGXfD+UfbOvWiH5rCme6eSOyAcKZuLeznLG+MkLr9AfteHTF1QPzYDP9VgG/OaeEjL3umvDqt3Ep9IYSKf4/VAwQNW903bubRF3zqPs/REXrpctzas3LBHrGcnq6E2jcbiaf1QcSYKiBAndMSkyWd9psF1mxX6EdmYgMQyZ7OzaCenhzoyQUNwrHaYSye4zfsnftg1J62SR0XyLmAz+/PHx9JrNrT0wp8KXfnASPrJs4WYXqG32G8QdkQFeEFu7G+rtpm3rCq0mtvhyLTOOomftQVO67UgIElZ1gtPGJce/t9lBcbIIfwPZ0c4XDnqgmSl9x82zVZFX3MvHFlyChCZFaaI43P700vgea5FZh/LLZGlinJ/YIdVSj/NlDJlY4mMMG9fPZBVA7NzeJjDT3FFrQtNqVWSBKzZjtw3YQVOt9J9oVzILz6T2qmHHKj+bDHpbV76vmJ/1cPp+V/Ff0K6wBdnXZxexvXZXs31e17zaALaOjKEEdWpgBDJrvb5zHjconMl2ruBVXEDqQjTqUBXT3NtPWXaRaxBIbfGEGl9CIDAzSSwFwii0vXlfqUPP7qN/AC4lied4LgjOF7xyceJKkTrI42JaZympRrouvtQpPr282iFvXx6yvMHwIQnJRVAG6ckIvVhY5++gWSJzh8gGMVj1M76d+ZrfQhxX8FPd8kRbJP4n1quLENCyKSUp3Gir6LOluxAsULyxtCZa/aDxjvXZBdc/0JCsYmknFY7xx3/86z1a0X06qQ/hzJLdWu3jnBCr5ZCiti0Ry37xpp03Yd1Y7zdhSe0ZEjW0UM7NL6kuRrMpnZlQuz65t0qNvLpuyjr+BQs/fwJ90pCKl2Jry0bDDQyOPCm1jTne92MUhy/NGGHI2kJ8z65oQXwd7OgDoLYLnu7NnyKuZ+xdxiS/eJRcujEIXP2NjjUDaPB5p8LICqxeGmUvdSNpxADg9Eae+T5Xy8hqEGewkBEsMzZh3x2DMpi4IYSY3b/ayjt0NZJcJuUCja4jlhu+Ev/i0DmX+BisvtpQYEe9iQ+ZtmFTBcjzKRaZnD48pY9u3mffmhum9pln5p/nErfo64zqE2LtycsITrSkfkrKaaVVg1wwrFn/8opxK4PkspaLUWYaYxG14ZE9PEZ/1w/B35tpdkZTnZkrBmAuVwBwlnNwrx8UgUKbdlyHysF+cro06sIzmB6se7yLixFIZNqPUiIrQ4iF979TjGOWjNn/w4If+47DAji1S+EgX5VBHakvW6Wo6cvXJzwsCTttZe6OXG71IE2TE9ZvDCynZH/XDqJ5hoaO/XxIx4PNOqjh7zfFOBet3P8932z4MYj6iK8wvWS13fp++phW86hZClwOztsCP2h2CVrcnOHfT9nNpTCmwXuUmutScp38U04thOT5H7QrfCJTIO9xdCi34rC/9gp8lNHIZsYzToGgvuUyUqCDLBeGiyFYrxEFYLh2vaEVZQpLLcMYsJqeBW4GRcyJ3aZ+xAqaLlwEV9QI0f+RWFdyJC5fMYAYzkvh2XoJfzAU9fllMDcagUOkYD2werWKdFNNx5Yf8fryi7e5tPtst6TLudZyC2J59BvhV+t2RpPcr+BZzy/qGcmmFGqM61r1JMv3ImuP64omjdJpjsXROeZI1RpKvvv0+wJDnv46WbnqNBzzvNULKtdviz960kpfKXj9bmDfVNsha/IpRki8Pn0uSUPO65ODClV6HW1gc30unXn6S1eZC3Dng/WGtpAnY7yRSfEXkbvUtddQO83mDUD0esfjlL+CP7nr+m3RA/2iMeQfTS+Pp5cMZdM7EiZGqYeniY5nO00nKDZMdDzTMlWfQUdKmTPU3oV1QHyrohrdEXDD1Drt/Z8Sr5RXv0r6ljHKS9p2UOZUzQmCiEu1cFU+4BIYSglC5bSu5lzsa23vGY59xpD93O/zZnoALFzCPL98D11/ssdhUTIUqyMT3LVAKqzE21ETZ1Mm4pDKP9qX/WU0tpRjwg93Xzd8w5IPZ6EVXxDPaDkoMfFcHCYgN9GjPc9b5biLV3DO6vx/Clc9i+76zB0KH7t+9vonrjidGZ/MoP7IUh2vX1fdgIKY68vf+Tjj10a+39XjSbJc0+1lNPoKDTZC1kU1HbOjriCpofCTnnXhhRWtMJU66rleyGW4yQllI1Jm2XdwhOJ48Kd9GR3KjxCkNoNQj3Hoi0BE/ach+HjUUZ+EdsRsgmS2zjMTPj7zUgqapgi2skEtiTArJjnT0Laz62Iv+gplnDF5XqUFhYACr+sor5huS9edct/dNmwwBRoQ/N515oje5UXu1vWBCtsWzVYj90V43TzQkDDzrNPZiSegGo7fgrhNKSTmjTEejSDWwVQ7XuWskFq/H5JWiuDtZF7zjma4iRKxe8dVLq5ULtBlF68wbig5P9gp6EfPTEhOJ+pnvqqfa8vHeyDrPF3VxKM7g1k4fGuhCt3DqpIvx3y4s7rokxoybMH44L2g+RFUhUqEqZf4q/sRBVf/rov52CwHLUbJPAaOjljJnrdXI1U8kmZenp1BqwW95YoQ4xBUd0WEjbbUaB42iSoPt9G0JW5rhiy3U/czWr7Z20H2FSYy0WZ+mABK2aB2c8IrhSlg11B10cD24zKlUIT7LMHeSP6Mxl3hmta7W2q0oms2wp2XEPw1zX+rjfTuyDm8e2uiWLtP7zguYPq8fxmLxIF/NH+/NF3jrdSh3LZYob2DOgnVbFPB5sG/uVtyNyVIsaotaPx41fBmxEW/aUDzB9bQwkKqy75Zlo7PmiF8t/Vl6kqSZEx0qfHVD56HMxzP9NE2cpvW681YX4lpodyW6lXXZTFiKrgg8OZdWSt7DI6jVD+qSEjjwKXFESC7AZYM16gvA5nndJHsNYdSvKY1LbUqcQdimQqVF/RDRzaZvi3mBdvLZ/DN5xRNXrhdCFXap8n71vzH9u0rx2KYTpV+qTO8Fnj13Dstt7aVDUubKXPDx6H1x0ar9kXxhihs4mFdSxjyxWJJY+G7vwxqFbYFs9RgGY2n91enIbdD2mYYRikU1fCDIzXprss8Bz3oZmZ7VXdFdq9OZ7DaJ0yrdyB/mtaMbh82rUQ9cWaRqcFEuLHaYqRxWRfV1ysoBfsu9dLUfCg+1VZqAk1xgJMi5ez2HSnoQBdWze+0t5ogZ/U23yZip+ZIOASO5zzWSR06YEq6rqumHOimzWKP3m0mdAt5kbd9bW7KAVlhwROb6UF0yWA76zdj6B+8//Ho9ycnmkVmboHM5sbMupNpmyOTui2FdpzlFFfLm/YQ9aaBUwLuLWhuFzRG6YSKX9GeGqfeXuiiVqGB52VKXcfcXxARrUTwOhRygnliSXEFiqUqe4eI3VKE5M9wVBsSXhiRH9SkZ4nXOS01bNzvSbNSVptBIKedCtFwlQ35KJVXd7dV6PJ/CXuDTOt7IHcgth1AcWe04EjPge+x51igrNwcKosUUOV++8Uty+i3NP4KvoSgOkMgU7PWGKqQhH3dz+gpKrQms+KF+8qVzxdGAmsD04lss1dnb0uktkY8Efgdw3TSHt9df7+01LWB8v4BdzerbLyINNTrN9J0TZT4HtJs2ytlYvBz46ffiID4Dy82ikUscm7ZZgHqeVwSFWzSjQ2KoAIF4cMtVL4C6yEczx8EJvtx/KRM2613ih6MQ1nGhBHtvKseYFGgWp0yt7LScc27TTeYmRTGmnk6i8UzVYCfu6IAoc6mAZSW/RRngJXmwC1LbYre0MDxVcLVopPzcJ7QVX39rBQuqgV7jQmpXVMcMxfjSvv65hDloQXI1eS1GKr9xx6rdqCS6RLWNoO3pCEx7q6Rf5T+nP/o5/6TQSElC2ooc4pe/FYxFtSe+EDm5MX4DyGJ5sW67sug2yVyLJRvmK/HFxjH7fvk8nzjZmZEGW56LHlpPjTyXmKOJe0Mb+w66epNXE1592KyyDllZQ/3V55SiC7fEJpPYZ69i3ykgxYsmup4yjZd/6oAi4y+ybvN5V2mtGb6pjMqkeyzmkKQl1Tiqv9UnF+REAGArKF7i8HMlKZ9v9q/euhh3U8vFijhOUCyTYs3mag6egu1Ik2H8gEdwnR2kyKuw5MIqVXmCW4CDNuuINdtSpIBa7Jmx3t4XvTUStVe9s0VwH3QUpoXgx/lZgKtwTi0XRrN3e0wuI4Fp22o36WDFuD5F7wcmw7OITrE2o2GP1829PMRhydczNDCcSYVebVv8zUD8EaWXFEih+qeo3pxWr9+nYcY1o9LNV6FViHUCSSw+ziDKtVPw2sNpmMC7iF72LOwneiKENxFq93TrJp32xr0UrPfyRkgWlVG9TNS7j51GkwuaRWXEVQahpxqU9dedGuZEWb/sPQzE6SZQrN7LYPGS2R/4jUSs0mtFYlZYZ+17jKJZUe+0tsWHbg/MT4u7E+I5T4pBziI7WZ9XatkhvQ4kK04UVltVRg8r2VOjJi79JuyH4/NsJL5gVDA48PQnAu1kieRpNL6SvMC3uaHaurpnKVRM5GVsajA1HnA5e2PusvqWPbNVX4TgxMEJZUkArkSuE6Lvyrl5DVIVlBOeaMJ5zw21v1FMy3FDdX8phC+deUP2wlWpth4kt44uIP6Z/u0n1MqSPbJGZy5F6FwEZWuhH4o0XXh73aWihXSS75/1LOkWZEGjs67xH815YVur9Z1osCa+z95AdEHLAImRJfJLs8vINgdOd1AQNHhhAosltP9fAMERPu7NLXa+m3loxxzF+DClj7SUAJmVx5SQYfE2jp6jo1SGMhqb2+QUQev6XRxVXkrfpamztYHageyVoGgumRfD4Px1Q0N2+YsElW7Cl0tcuJ3TzmE4qvQhpQkyF7s4C4dorozSLr3Jsf3Pb/aQFDAIzrEINjz4g/dGXmwN3WztE2n3Ahlv6dS014AM39iXn4iezAtch2jMuL8YiaRo32httx6Ycu9TEDyysNI97eebV4cHw1C4emzfX0k5JfTuMXn8wwkOaq5l9YIZGBPsIFmJ5+hRp/aGf4I0JfI0jzwOoxMJJ9OxQrSwY2Z628y7yO9H3lbZjd8sirsHLxB4ufNShP6OrPlwzc7jbvqtrKQNJOiM2bTvuhF791kLzlPAFf/hQmQNq7lf6mlHGwvRTji5ZugaazoQordv7mirS7ziThC7yrXJAjlZuDjudcqr7hCy9XR9hc6Xq22KY1DDBggBlMduOdgVdvV9up/mVmMr2yER6nKmiX9WlsGZ+BqJQT26TIXRh+q/VvoN8l0HGQ5ct1hAUbSreQjuaeCwbeCkxE5pg9XrQpGhv3Y6xeSReVlf0SN8+ygfUjXnZ2giYVE1+TeMSJ6IoNfN8amhNNqdxyhahZkbvUEKErKlxs/diZHdyhRmUr7n+ChgRN3iXx4X/TvGTPajnyUNxiRtXv8U2/H1ytjUNbtPqIuKdQqJLdrvUI5sdlanP7UiVwsnsysJclH6pEzXURmnML2IQWnQKXkQBdVWUiX7fqC87Ztvv7agA0syIg+uuoRF3x0uNaDr2k+C5PVKNiJfqZsoMqp8ZvJgjH1Bn3naBWUUhmZDZwKhaTpEJGlkO1yEAC0zit53vuZW6xQ0NnXIv28ErYRoOVWaL9mBOM7xE1Ul1L9G+EVV1b2ZkYqy0wtF/IZ8JilOcETJlaD/jRGavsCxkkzKZQspdUE0LRqs/SL5oux5AA/b2gsw1GDcLXaUkQ6qfdmRKkQ2anM5OLLy7mggBf8CVzxw395KyngfPEfApPmPNue3iwEdIl1Wu34OwF1bm2KmuVgQR8qIeDxqLvEcNiR3AmFZ0nIEbzBjr347qqZzO0lXugBoSy1ALOpQqy/cskdGPUTKWaPwqwLkuUCpa4DYgy52ZlxotL+2iGs10Nb3o+eA92/MmQUlPo1NkRgYi04JVjVVs79Ggdf2jSp1LEVE0HsDSD7UMiH2v2LAbFwwVr4LAaM95m5KFMknSldo23loJJ8ogverPEu22oXQMlmfwuq0sj/MiLxnpVqbKZ5rU9apWAESLor35z5M+9pUdaU/nY+hSY4X38X/UHpTLcnRDxp5xhCt5Oyxq1DWbGB7B4p9XusmGLwyGa61CA+iNJ4uCmTlUKlWGSc9uQjFtHRO6wJ6PxT9ct4JE1IvHLKDopXd/KQdIWHbaLZD+xKgA44UeeievnwIA4VKj7qZUntySwm2yuLZGxS+Eo1vT6bPDT0GC5jGrbC74HD1jJiQrxTyU2/BUcuovGA8RRcAi5wUUidc9RIBO63uLBkoHnuh24NY0wLWJaNxpfgDP3zatJBYzWrd84pgx32aipLHUXmgC1oYcDEFQMCDvBbN6XAwaccKImHsyqIl3n5qlXLL2riKt98oRzo8x+a/suJcjqJSl9znUDdO7oKKzk1rFa8XOAEnXse1+zykFy+DbsrPm8+zKi5qD11coLFklE25LGXe97Tn5671YbXauU2urUyUZyZJHCNRZldqHA1irZ+30OU3g8hMvUjSCxqbMmXK9rxlk56PEvSQpnMoD1evAzXbKjMMpcUAX/pbdIEFDtk3OEKmZ2H3gOEAt8MUblc4cDmN3AGk314OV+ieos4/Akw/TwLBz0rBolI7+douUwjCGWzJ2V+ygB2kisC6aDACMalS/c7jk2btZrxaDxKImRf8KIWgVeYWu2yN+wCznPnuxv7GSLPK1f6I/3gOdcK+cm1heU2CEAfijfrBAVaERu5EnibYtApCNRDuxDL2vDFlw0hjye3Us0KA0iX6dN53OV4ugtxGMWGDiT+Vtw12VZaNUkRuodur08/ttywrORU7pyuechuVcfgbGeYyLfjlrOTXGGbuQuTvmSiWKhCunFlIHEBD4h9GmI3EsLEr6CTFA3/RHHYnrgnjSVLZx88sBF49vXNJhHKRVgaEuQz1YmqZJOUwj4VWOpgAbrjogtQjv4TdfSTHy/uNaruVMMob3uPZ6fKTvRmViIIp2ylyeWrn85pNQOmSOxy5/4SjAfVFTHgl15wpAMORLiivA/XDpWlgd62SO1aaIz5tKe1TIwe3b6i/kEGBG/lF1DOnT2ujtopqa59arxTCrs5YGav2yhTGpHM5grzUZiMNlltxfzFtaAPRVqYo8UOYatgOAbjvQuvwjN4EQ6O+msOK/XlP0pBWE6H+CGoZKPLVdiZZBsn5ct/KuNgo6DvACk6xMt9y85u90zzcDOda1pG4iNzvo2o+Ic6jUH2wuIxtv6bPWwVrnuENGfI3biIRLY+M33vfZMuzX1DeP48tcK/PQx+baatATVCxTzNXRzDJ3l6mUfm9QPrgypF/U4IIGVMLicT3yibH76AG01xP6oD3PT36Gce663kWIpJKY03tCNDyvhOhBV7nAe3gMtEkFigixAMTu6dD7VkygBhqWK/+J6rivWqRWWOaZqnVaUhPPBcSrLw7GpZ7x+TQpPJNTVHN5A3LMJfjZ3lpZ777aq3nhVRFHmjn91UAE5pMDGlTk9t6iTPjgBF7FlMN2xZ9a8qvekN6Bj30f3lEnPyLA0LGLNZ0uxiBccnj8HdzUL6SUUNFu99ov3tgHhk9wPdabMnxEuoOSfdyI6p2wiKQNVe3iX/ovs4KlJBOV+v5UmCkq60jvJLhu1/811uSAsHWGXSSjUmOh6SMxLqfnQqwnOxxOjgVdPwiztvfMvEEl5yp3c2L6GKxvIaTnRLT5MzxSws7lgYDdI7spfCCC53Uew9VDXdpwLF4m6Aayhs02SEgWRPv+PzH57Oim7Kd+aFJuiSwXGN9aGw5a7y/qkZjSxYHV8+llJF4YrpTAb+upCgcYsD6uErGkRI5lPVVncj0GGxIreX4UgnquUVb/82QaGReXuOqUyTZnEnqfw0ttkWUA4IQr13mj38BxXqoJ8ETQdLwHzQm53BvM9RSAUlLvAyF51bKTs7z9A+6LBr+svIOhBm7NnJ9w1NHZGRKQmgPFE3LnRYPHCbWZVJDCqjwF2qx7Hm+Sn4GbTDN1Dx/m8kL7LPhsF9/Nsy2csGTrtZyanPCLcOTQXuBYfhhpNlMH6OmE5ZUG13n4jOAHpJyxPozW4a5/xApZnvbK3mmyXuP1SALxkqHw7gvjc9NO4gzP6UN0LSVdwl+jI4KR3FbDAK6Z0OOIRO6yK1Zs/ZjSrN2VvxbXUn9b9RGxoLJyDcO8Ew1qRGCypSujdx0ZBJ7JchYXIAd7eHwZVMQLRpMc9NAdID1mb0FcifwiKn/5HO1RMGC9hHmi4LCBu1V1p3JISFBqoNdBYZMfpm9/AsJTKOgcK4dC9MZXQOHhpZQuKF1mRcO57vVBGZE8TFeWceqIhhHFWTTkO5oHxB+YA/dnkKrqDi7ERZTKtZ67+Cr0ZEsJAgOpQxUpQCPmq+Oh51m2nsMXdSq3A8MaCFuW/Lu4pBDrhFNR6rRzNTq9IPOGnu8gpOYhlwis9nPW4qMniHQN86yEmmZRgOqB465lmObUANNMZF7gKfq4VsvUsM4LtRXRU4bCqq8IyScvTbLuHoW+SaE92gzWVDVtPGWTZJQV2BrCcNdeucdB+7ojPoKmmTJM/W4eg0Bazq54HjjxbQr9wD0+HD1w7OP9JXrpuQp6oY+qNbE0iOjpdZYDg4/+emi3R1gDEEQGqI4K+dGb06/I3YOv6zmICEq4kL1CtGe20jqp8scNLcKZbwjJ6LJ8UGR9xWkJT1U30hUrHAXjjJFTNARHicF2b7G0BKERt5A/R/kucQpUucE6d9xcly6RFqWlLaDd+vJLQUOqvoTERfeYdPrQIwWa8bU8HnvGFI8gsSdUUMCevgHLmtF0LMyfewbQOwG5vtgVbBuk47lapJ4kG+qSU21O1XI0nTzWcqj0snG+xfo0UYDbfqAf9z1UYVed1F09TYoUbR2lN3O0Q00gc+q6iPJALykuQxz5Pi2ubFc3alI7eDgkfP5962+02OB5g39KfBvxyeyJtr56/ES8wwmEtXyEf82atp40qKlYiX6zB5K0cejyhz6dsrrxVUM1CYUFBBZ1f0z6yMmTYj6uyF2H658bJzZlc4A41L7PXhffha4DNmtMtV2XoiS5KL9Q0PJBBBdc8vLc1elMYYRQrMO8ZDIuO6M+ZDzfekDF5Ok5wIZtos+xgDbwxrX54Z8P2OZZ0Ei+9wa9jPPJMfXKwd+b04IBFX0CGFqBFA9Ff+qckp3kIypoUvsJpVUDFyBqM9TrcqStJgywgjLK1tMkERCm5mbQpR1843KwvjkXFiZAxrF2ooIPpOh7T9kCcrYVBXIIfr7tVkCGdYF2YwYv+d/lAbEZoEd2V5nrAwlaY/HPSKYLOvB6K1zofV43vECyz0bNBzJNed7IX0kY228sz5bz1Fl6kTjdOhmNyHCt20EmxdzbNl1b4d4TWdbl0hC60yKDLbjRzd7EuzZKc/Ls2TwI4r5JkjBid1mzsBczaQABFJ7W7VYa6MfVBwnBvUeDpZ505nk9Ip8VjJvYGJD5WMIeoiBWYjLTvaaloxS3mOgaxt2wQDAYpJv4N+rXim8H5/YcOyOn9mmnIOXmPZnBVFmcUn1kT/O/xobP6c8An8FZPKCxLgLK/i2nk7MKCFh1u86VTbs2J+o2qHCNpseUDgjigOiqP8srWQjy8Puj8BexKvcfuPZv3Sp1/i7Vc+GuHlOqT8gVaom1esbw3r0rZrrmHbEOSkUe1Z4E69nessi0OGZma2RfrB0nWzMHUD3iijsWtF1++pLr8MnEX6qHpk+80pVNKxMQN+ar3iGNIWry1IHoR2tg0pYBqxbuuWgoiK97MuZK4j45izKZakFk2NzpJobVOijyI6HLYePWD1DyxAfG7u1segwXdPpDBTArh7ott2W2dw+qXecv/uPsKUtW2eCP2n6lJx0jUHzLBajfXJBun95ZrkAseCIMjK6y/CfaoerKCwmdjvy177yOt43nCRrPbJImyFJjktavcNzWwjZmSr9hQXRzsB4iR+arsDVw8aKQzELjwCRdG1yRNW9MuRbb0UArdGPkGGMuUKwk7l3X6stDOAWn5Mv/4iHTwr82TidNU84qX2oVwvpgMIlcWa5cYRQcdAGykp1mlDGaBjtGwvhJnYISP15vOu8wlQriv5VJgTT4bMuJh+LrkZl4vd2xCWSiTx98xLcwFjju5Gor2OguxuRtQ/Ia2x1pRD+t3TU8xJGij8J7GQ0fsnGE0+aeozb9fnnhV/vgiVsij/PuTARSe9+f8pBI2novhwOSqDqEjSbbB4AoOKYxxrIZ0sswu3yr3AtmD+VCWfhSaNH4rW+XLux1km9MFfWORRdKhK6t/WuUZweFps4TCrHuziYthsv9NFNb1om0ueuiMTvRzB8CDP5MroL0vdQgD1YhmHbkamS6uBWcHdlS8EF0aJI4Av1UjMx7g02ibwLFpCcUlofwdEhoZ253BdEsYAHLswZqACLck0K2BGUzqC9bzYVtjJWXG7ulNT9kTBW6AL3+WpylwpiiBRlNfvatbb+0H5W3/0DbIS8s9orcVE5Q9KdH5UdS5EspT420D3on/3HYcuedsRZ2ZCU2MIfUkbmm4tL6+CZbSOY9niaGOC4VIvx9CK5CRNLJRQmcBIpIC5Zy9dznb699cQHJjHdfB43ln9oTUHoLjO42BJv6Yf39NIapolSP1eqQl+By4Xh3GhdSDJOd+Kvw/YefT6GG1FhqNkQnGsXJuR+svAVgVCikv6+hZG8reqkP5xPnQmAzAXHOoO/EUSsA8c0Z4SErp4DeWZi/VOc4vE9kurRGHp1DyYAdFZCShgDzdr01B9ukRGC4hbKjdwHwO7LYML8MoAEJWtQG+WHsf0asuichUUcCmVuZHN0cmVhbQplbmRvYmoKMjUgMCBvYmoKPDwgL0Jhc2VGb250IC9DTVNTMTcgL0ZpcnN0Q2hhciAwIC9Gb250RGVzY3JpcHRvciAyNiAwIFIgL0xhc3RDaGFyIDEyNwovU3VidHlwZSAvVHlwZTEgL1R5cGUgL0ZvbnQgL1dpZHRocyAyNCAwIFIgPj4KZW5kb2JqCjI4IDAgb2JqClsgNTA4IDc4MyA3MzEgNTcyIDYyNiA2NjMgNjc5IDczMSA2NzkgNzMxIDY3OSA1NDggNTAzIDUwMyA3NjQgNzY0IDIyMiAyNDgKNDcwIDQ3MCA0NzAgNDcwIDQ3MCA2OTkgNDE3IDQ1MCA2NzkgNzMxIDQ3MCA4MDggOTEzIDczMSAyMjIgMjk5IDQ3MCA3ODMgNDcwCjc4MyA3MTIgMjYxIDM2NSAzNjUgNDcwIDczMSAyNjEgMzEzIDI2MSA0NzAgNDcwIDQ3MCA0NzAgNDcwIDQ3MCA0NzAgNDcwIDQ3MAo0NzAgNDcwIDI2MSAyNjEgMjk5IDczMSA0NDQgNDQ0IDYyNiA2MjQgNjI1IDYwMCA2NzcgNTYxIDUzNCA2MjYgNjYzIDI1OCA0NDIKNjUwIDUwOCA4MTkgNjYzIDY5MiA1OTkgNjkyIDYwNiA1MjIgNjQwIDY0MyA2MjQgODg1IDYyNCA2MjQgNTc0IDI3MiA0NzAgMjcyCjQ3MCAyNjEgMjYxIDQ1MCA0ODMgNDE3IDQ4MyA0MTcgMjg3IDQ3MCA0ODMgMjIyIDI0OCA0NTcgMjIyIDc0NSA0ODMgNDcwIDQ4Mwo0ODMgMzIwIDM2MCAzMzkgNDgzIDQzMSA2NDAgNDMxIDQzMSA0MDggNDcwIDk0MCA0NzAgNDcwIDQ3MCBdCmVuZG9iagozMCAwIG9iago8PCAvQXNjZW50IDc1OCAvQ2FwSGVpZ2h0IDEwMDAgL0Rlc2NlbnQgLTI1MCAvRmxhZ3MgNjgKL0ZvbnRCQm94IFsgLTk0IC0yNTAgMTAxOSA3NTggXSAvRm9udEZhbWlseSAoQ01TU0kxNykgL0ZvbnRGaWxlIDMxIDAgUgovRm9udE5hbWUgL0NNU1NJMTcgL0l0YWxpY0FuZ2xlIC0xMiAvU3RlbVYgNTAgL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9YSGVpZ2h0IDUwMCA+PgplbmRvYmoKMzEgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAyMjIzNyAvTGVuZ3RoMSA0MzA1IC9MZW5ndGgyIDIwMTA3Ci9MZW5ndGgzIDAgPj4Kc3RyZWFtCnicjLgHNBxa9z6sEwQhoiQY0XvvovfeexsMRhu9E9EF0Wu06L236L1Ei06iRu+iE+E/7nvfS+77W+v7lrWYZ599znn2OXs/Zw8KUiVVBmFTiDFIAmLrxMDCyMwLEJVXVZVm4QIwM7MxMjOzolJQqIGdrEH/DKBSaIAcHMEQW95HLqIOIKAT1CYGdIJ6ykNsATLO1gAWNgALJy8LFy8zM4CVmZnnv44QB16AGNAFbAqQZwTIQGxBjqgUohA7dwewuYUTdKP/fgRQm9AAWHh4uOj/mg4QtgE5gE2AtgB5oJMFyAa6ownQGqAKMQGDnNz/WAJAzW/h5GTHy8Tk6urKCLRxZIQ4mAvQ0ANcwU4WABWQI8jBBWQKuI8aoAC0Af03OEZUCoCaBdjxPyOqEDMnV6ADCAA1WINNQLaO0DnOtqYgBwB0f4CqtBxA0Q5k+x9nuf840AP+Ph4ACyPLP8v9Pft+IbDtX5OBJiYQGzugrTvY1hxgBrYGARQl5Bid3JzoAUBb03tHoLUjBDof6AIEWwONoQ5/cQcCJISVAUBojH8H6GjiALZzcmR0BFvfB8l0vwz0oMVtTUUhNjYgWydHVNR7gmJgB5AJ9Ojdmf57w1a2EFdbz3+gGdjW1Ow+ElNnOyZ1W7C9M0ha7G8nqAn1wWYOcgJwMDMzc7OwAkD2AJCbiQXT/RZq7nagvwZZ7s3QMLw97SB2ADNoJCBvsBkI+gfV0xHoAgI4OTiDvD0fD/yJUFlYAKZgEyeAMcgcbIv6sDrUDDL7D4YmgQPYDaDLDM1BFgDz/c8/n/ShaWYKsbV2f3D/65r/CfYfs4gIxA3gycDDDmBg5WAGsDCz8AC4OLgB3n+u8E/s/437L6sSEPw3L+aHFaVtzSAAnv/Qh57b3yEAmFz+zgvqv8uGBvDHFgAmBQg0oUEA6of812PmYDaB/mL5/10Ff035v3L/fpX/7/T/H04SztbWf3lQ/+3yvx5AG7C1+98+0JR2doKWhzwEWiS2/+OrCfpPWcuDTMHONv8zLO0EhBaKsK05NNkZ/j5jABPYUQLsBjJVAjuZWPwnl/4eUL+vRGuwLUgJ4gi+Vx/oJGbmfw9C68/ECioxjtCr+2sMBC2vPy9X3NYEYnpfh6wcnACggwPQHRV6oSxQyAHwhP6FFgbI7a80BzAx2kKcoJMA0Di9AWYQB9T7K2YGMEkCbWyA99a/DCwAJjGQtdODgRXApGYBemRgAzDJAW2MTR8s7AAmLfA/iAPApPSAOAFMqmDzRxtwQSO0g5Y8NOj/mrihMywepvBAoeMDZIFyVLQBmT/iCCVpZvYAoRTNHvlDCZpZP0D2e+dHwxz3+NE4lKEpBPpOOD7ek+sfo+WDEcrT3OFeBP6xQKkCTaB583BaULImQIdHwbFCyRo7gB7NYoXytQGa/OEE5exwf4//GKCsTaC5Zm396CagzM1BDjZQeTK2dnwwQwMAPlodSh3yCEJJQxytgY4WDyYoa2Hxh/u8P99HEMpX8c8JbFDCjs52dg73ufiPEUoZmljWQJsHE5S0vTPECQTl9x8Z+GcESt3W2cb4XkjMH8Jm++vsoTE6PJig9O1ADtBH59FsaAxAG6jV8f6B+cfK8/duf27FDg3HDvr02VqDzB5ZWf62/ssZGhnQ8X4JR6sHIzQyO2vnh1DZ7y8D8rhK2KHxWLjbWYAeYmHn/Is4GPLAkB0ay58nyQ6NxAPkAHkwQIOAthEPxQNl7+T6MA4VUCYnCwfQI4/7bIc4P5wYx32+gx/lFweUriP0ffkHQ8k6QhPwgStULJhAfxwEB5SqLfgxEe77mB9XKQfP/TI24D+tnMz/TQNT6HP7YIbyBtk7Ax/qjJP1/rpAjvdy96cr28PAgxEaA/CBHic0BOEHBKUv8oCg1EUfEJS32AOCcn5IbS4oV4kHBKUo+YCg9KQeEJST9AOCkpF5QFAusg8IykXuAUG5yD8gKBeFBwTlovigeVAuSg8IykX5AUG5qDwgKBfVBwTlovaAoFzUHxCUi8YDgnLRfEBQLloPCMpF+0FwoVx0HtBfggU0sQI5/VFCPKwP1f3nANs/E/6sLp77ugE7mDjbmFmDHvKRh+MvcYX2kY+LnIfz7+X/XBsaxEPZ8UCDMH5A0CBMHj0T0ChMH8H7DHwE78vmEYRyNn8EoUwtHkEow8cPEJTao2eAGcrJ6hGEknr0nED7HKYHSWS5f71sH0EoK8gjCGVl9wjel8IjCGXl8Aje1/EjCGXl9AhCWTk/glBWLo8glJXroxcTysrtEYSycn8Eoaw8HsF7pbc1faxjLPfvE8jmX7Z7UXS2NQc6ONtYA50fcbt/opzA1qaP7uP+mTIFg6BPCvhRTPev1f+8NCz3GuNoBzR5NP1eX/7VuNwLzJ+tC8u9tPzZvLDcC8u/2heWe3V51MCw3OuL0mPM9e8mhuVeZv7dxrDcq83jRoblXnD+aGXuNcfRzOlfTwfLvfjYGv8rxHsN+lffw8X+Z+NzL0WPW5t7MXrc2tzL0R+9z70i/dH83IvS/3Y/9+L0f7Q/LP/T/9wr1Z8NEMu9XP3ZAbHca9afLRDLvXD9qwdiuZevP5oglnsJ+3cXxHKvZP9HG8Ryr2nAx70Z8x+NEMu9rv2rE2K517RHrRDLvZQpPsbs/9MMsdzL1//m6L18/ZHPfzTqJs4O0N7D6a9vVtBS+i/+69szCOQGMkGdm4aY8AVYVgU0X1YIv3RlWB/hRzxMutRiZRjJMUBx6hEfN1yJUU1L/SZbJDHXzSJhYNmmIGJ/mb44c+K5Vk1S485+zkAisWVOYhw1fXcOOxnrefHq9TRmA8wnzQQRYt58hx4YJaIwrPYngqbmPaoUmF5UVV2zsa6UzwskuGQCmxVa2ysKUuVevOLR2Puh4vTZuF9tneMUnyrjh02k/2q4XmiiQsprWf7WK9QY13Ks5b4v/fPPuok6wt7JuPitH5EHOT0T5+t/JcaOXC5c/t6fMDAfZrTXgIag1Seh2TRPemcBp0DndemiDG1B+ceW+s+I8gEy0ggUo/0KPN88p5EoOL+kKlt6zp6ZSvf3ydBMfEAWCERC5ziIYlrmsOEtniOl5w1TByEMvEeKbahBRzCjcMVym54aEZJZU21+uYnEKBcwaK5Qk2blj4u1cAApRAjs8wMMJ/Pjrp4a0I8A4zuEZ7fuao49qRisvN0+H65T7VenOzsG0AvoBmuq8o8iCOYLVmKhyqx4ldwomSKnKKFkHYW3f2dUEbZrZlKrTuXAVVOaYM/jqZyK1bj++Eq69LXOhyhLld81mYerH2naGztUgKg2maxGHuJOL+Mlmk2JBhRWdn3uLL76l7Lt/25rSlKNNjMTLxQb/L1KKxIe/WY55OXWegUBhafLYW+3jvwMZ/lgxWlEVGOciWMioRyPP3Cev2fX+dhRwnlym5BQkHaXvkCGabxuj/h52yqa2YKk5XEiYhwd9kcxa/v2dp9+hKGy0vC+ubF6wp+eYzTRhI4yW3oM355aKNvH37ahmpphHiwxV4ME26S5ZWM0HEqq2rhXkmhxskr0qzGfXOLGMa+5DFd6jDdM7tOo+g5jKdCnMeAqaUqUBmr/XvrhY/8OnqzSg3URE4kF3dNvre78iHjt+FDiy3FTDtyHxq5kJh0cIsmlwlE+l34tsjKRGW9uJbXZtewfJWNvat69klloReAmjXzBbklLdJCngEdifqrqkmkGs7IkJXhAlOtosvSKvAa1o4waIdq6EsHMoXhurmVtPuTUQQ5Zm8S6RF5OVaISaXP4W93YiVYc13vuing2HsOJKZqCSJpTnpKZ8GosOgZ7AZ/QNKaDauXqo85JId2gpLumS/+I/FjJxXT5wiETYmkx1aO3DfZsJ8CPYUMBn/AgxvkdlJWs2GrkXNO+JAn6wV6armEtnmJj3ppPlcrodmkx6QXOovuQXFQ9txj0v1SmnJEzGLLnff36tadyJFHozZMV8rLb1DfxJYo9nzhLJVvxevqqRGyHEcskgOV53Z68VPg6W+d0IK5v/qhK+lF1r6gE8ZVApu9rETZHfcyDo+wMwZ5Dac9NTQd4uaXWo2h98vSIV2f5whBuDnvlscR67frFZysKnsfa/lobS/VnQBr65U2bZIjGHJb6O0uvKo8X1sqybEGnK3HYHfR636Vl9TICkBcbsz7Sm5qoHZbniCJj25fXN4d2rRQUcuae6W8MCJ4PJE9nCO8jytCx63DgIqZNqzLv7re4Q8354Je5sUu7yo/woXq11O9F7SW+h2EVinf7PChNu7Xm7pPkcNI1XCSPtHBaNSNuPeqAgNghV6kEtZm5Pl6N3xkBa8vyWywji67YFuMe8A3kPGRQfCsy8jIpYYqsoUYWe8iWMGQt4qQJvg7ilFr+aVJxHvILfcM3EGXsOUqABKB74+qYKu7AoCIrsTxJKLQEt7Vfsv/rRcybVcff4cE074FPN3zFdaXaRvic6Knwugp82w6lXgk3TBiz241dFwB4hcntsJNZJNNGT+clx8KPO8/foXdArtubPiD7gXlevZZQp6tIxLCyJ3jhEQIZqk26miyokMHOD87eXuYVDWryzowtmlY2/iFpJQE3TytUkuKN15/mFoPGJhaqJW/Vf86aVGH4fAchQzxAtBjEKH7hx/SSb4V9s8JMMPStJCFMm9BnopGWfe8jJzL7JutRegckdtV69KliUxLE6Q7khqssvgMNw0YJOvrLWzp0ZTRFBLpnqyhdbzS+1K5FR58Yu3NrJL30uA5702Em0FDAAfyZ+qtB0251E1jxa+l9crUXhggTrwOIdB57+ocirdLeu1KVokLHwZ5GARh6VPjPW8/ozHuGruR/fH95tU82KaSXbPARuekZBOI/Wpwas6AP7FDHnYLT7ZzUSYOYhzNI5SfmcnJTXVhPY8IxI3d5E2RQimf/vqSY7bqokhOZoORgWSdv7vkSHVTlHHqC2XOFn9vjR+WhsMPtTRoX932fcqsCd3KLxQcpSiaEOAZvjfi09pf95sVcgOcGToiMa0uvNSn/4XT1TVmFKf5dtVBVu9zKp/i+jUyGYMnowWHGbZfd2QrGpujYNdbaEeatKosDCZ0M6URikivvyoxSh95JfNiVjeZIOSMUt3xzqNAsGfAHfcio6Cmjr6vStJhKGiLOFoURiwt87x+A8+lWqgNOw6FGwvTOlCN75jv2wnC/smNw1NqTlKkxknyz97RG5Td29OKoT5hHkGS0dZZJUcTjQ2cyjAUwrF9693o028+qbU+NHuEZMD15Ts+bw8DIUicNnG5+UZIgovQTfFX7pj5xsycrwEyb7S79rSIuLprSbteB3jLl4RBqkZP6NXs+xlVa6/eMyW24HOP+N4EUYSg4aBo+2U+aFzJp240HM7LTI45FF2mr33fs2PfMSn0KgvsJLLkWdIGJR2EqPLFOeJ0wR0MbvVwXnGeeYD40Kpmj3VqkMe8XUT6awfCe/KS1pF/lImti5aNquNszK5jnONe32f7JCyUSVFvbTC9+19lpccdxdoAmJZkuZwlUDfHKUE/SKmYG88Jg8FFa1HI+CvCnnqFA0IR+XFGPFiql6szvyYS6UD57S2DSPTPEbDUdp/f0bnjLbS0iA0an8ds5kZCRKwMTTTtXVIRip4TrXPfbMATjuPXdjM+Cz4ySC6iRyUCyM7DhlD93qXPmdCteP2uxKIHFFH926N5RSHL6+cQqH42CtCPSW9bXJXSHZ+tarjNk4kaGlst21Xr1O0sX9W9Hktx0vkbDkbAf3zv1+DnSyE9MpSKftExviXAyKeTvu8QOSMmQvN9Kr+kThUFOhXV1eIfTx02p85o+wFSvwdHGoDxb6nv5zTDhuevICz/Znxiy9shPEfRbIsP1OyOZTBulp0sOINyf4L4yLL3rz9wok/UkDH3b63eTG9CWkz9D8EviWyimgWNApiWBnlQDXloRfrJCRRYdf+MBsvqBWGXwTHaEbUXehEHTMje/QNX8h7FbaoJFzzC8FcLLGPRxEYyeo17UnCtR8duSpBb9z64yzKqk13DYIgEtEnGeYs2fHYAUx+ttPwLpUfWqMRn9ttz9JygGbkMM4AZONGsycpC/6FO1it41klBItlxhWsZ8p3cp6fWNs05uj+/Wv9wQbFUVcAWbTxuM8MSmzMH0EVO5yCVLvphznjJMPPzWXO5EL76SnqNzxR2dlIdCWlQ5kum1/IQUUe/mFmf7aaVbcxhRH+o3u5MowTjS/XHQWUthAU13HgX+rqR7/C1mhiZaoKjv2AvWFZw5EfOkkPXRrkxWcp+iwR+IF0HjJfBG16tdJFX2dJS8FORxVC/aFJDlSZixcUiC4tpADBArGKvqDjIYFPCx8vCeYsjdSe1W8kCAcq8rGqor2ZK47o1VyoeDNNBtk+rcrDVScfQJ/OtwyclxUlparwlw6USNzWwROPbZ4s0SnYw/mgxrc02JPqlQzTjzuwP0HdH1XyXAsk4Sms8dhrZ+hvqvwghMRbMLniu43+Jdvg/AZInmr92oVfiSmLF/RpJFmweLH6o90J+291keP52t3gCgexvxy08z4czfmZi53SMmVFhpNynuhV2XVfw8o6BEdEAkAtdr2DdwfhUKxavLNr75VIxqFMVdG4lod0aaikpqG6KDzvpJJEhznHKZ6YdrKmpp+vrTE/tu5aafp+1vpBVh3L8PTjlIwOgEiXibG+yUOuEUVhWH0+fKIuo1NGxsalDyNgWbvUwfWlkK0/old8UalvdD0CdIK5l17ejJG80KyJThuu+udnQONbL7ob1KAGxmjvi+9YIXRhUTCYGJ6v5R3gi7LsdztyRpTAeM8lVKbn3fcLYXk5Xvhg7RZ25LA38npFV9rruDLQYNH80yWzSgkiHbSCkOvpYMV5nHZ2VNjdq/1vyasugbuodC4TATZYsbSHu5C6qajGdzMmToSk2swsU5SeSYuvTkoSPbw6wzQZATnjB1SpfGp+yK2e03kA2XddBLVfPKsk3QBU80+998uqOU4Y9uJk2CqDQZSZ8zRWHWP9GVPF/Tzb5Z92NIOf3C9mRA51SNOvlXEAdnwV5OrI7sJKkM9cRyjHoJ/zObw6P467jZAe58f/xEzWnmqePtBE3D96wHBAhFs0kppfBikRjB5JefXT0QXsBTjUapR1DFyeVwarBZcKpcqR4UTWmdQ4rLGoVQ1KTlce94s92UaBQnMZgbWcWkujhr2HT9h9ybMHsbGH2vjkYihtpkI56zLtMctTdvFUkXv/p1+oxD9B1br2hPezProFSavGVxmyYof/yFcr6tNkIG0ignFkpQ/MlrbGotnNb8iMzzfeV5942j7X2aEFqSBBiO57rVk5RE0+b1bDkhp99UGytDX3xGptseLsT1PUdcumDto5OZwjW2KC9XGnxXzFLvXBPLZ/tJZywr8Vzq64mAPVuw1bShbgR3fqFWM9vXUHO7IDDV98FW3bdfYIURadfg1UQsXb8DXYyQ5K6rsO7Yqwc6+NUtMV5gFafwxUh3Vi2V9OIavx5lIQ6nUSpenqMnDYK/Sw3xT7pBqWuRHozNspdi2f7SeEzLRrunHcWV2LgZYombs1H8Yvbww1LsKQRx661IBkJyYQMk0UywAVNVnWiOXgO5Oty3yexU7yppSCfHTrwRrRyevH6KxJizz8PCwToWvxn2O506+vqe1PONLKw3tb+74Zt4XIft+zjDkFLYWpPVFV/yKUyynCWKxI7uOOmyx8w4RLYBuJy9Ln+NiT6zOu4O532f8HqojHjHFtcv8XteeSKcVWacoKNBUfz4sIZnfcVAges3V3fDpR/XSaxPaG1FzMm5M1i4KZUvx3RfqhU5uE7/kOR/sxdrfw059iLtzB20sexQzKAIfBKAPukTEeryAd6XLdEdpkplhsFqDgM162JrqrKlBtFE1voAtyVSvBFW9JuXueebbE6hnUk9Nvd5SS8F1UVt4uO3oED58z2NrkpvzsJAFIdZbi44m93t29XS0DMkUf2+8nw6fpHqp9MU/tu3XjejnUk/OeXwbVG0sfkvRMnsJRwp2tEZpI0O++hfw+peXlc21Q3/jEQKXaQod052aDluUnaMReX7pVOD7NJSV9aFGuZFULJmTuckMhwzhzClSU0fKrC+j7Dxsw9MSz1ozPT1qByjyXWg0Jou5kZZiCDNaXBHpfPoglFdpGnJfOMH69jptnDKqM8QOZbpCdyrCfjsGhTzufzKY3eQ53ngs5FfT47kIE1wm0pj+DMVX36l3onNcLELJdaM+CsTfTp5mitublibg5hoJ1G/k8xdRGV4S/X9Y9An9vDdGtNYYmLil9Ie5JrppB6VsgoqzRZboxk9sbZkoku34yqnxcEX4V8768coMrvi07Qjry5Qw3fR5Ap/1Z0gfNjwN03PCJynpdTw8ghMDqQ0HoeQ0AlhxBAI4Mwb+MlqL8+Ag1qM9S4QIVT+/oovmyPYlwfzD0gJ2Sl51AzJombDh8WRWzZhJ7IPEjo+cMAFcF1UpOE7SOvPZ7cFicE2dP5sGh+o2VYeX6Zpl33zizJgnUfZTxrGy/16yP2iWmIRtQJmVmsrAWzVUGilzz+rVUjM0XmWT/zThd08w+03Rki98aiH+fPamAFBgj7hPHNeApbinjcsv/uSxV482RMnWtgvXFJRA1yrvQFUSgdTOomz6vJc9ETs+EpJWyEYEfZ7INlXCr+1Juz0wqtEKtk2VTty7rBo33sWrVzjWT1U8q0lfBVO6am7x+yi0Uk9p7qEp42KU1AD49EaiY226eK+4bDhkbBLkoW7UwYG2Wu6uBwRDj8dB5K1Ma64tGAlz7ljFHeu0BB7c7QfKc83RUT9B9GmVJKOxROZBtp+4s+U12NJGDdK/bx2oFcL7xIWC7l7NX5E7janHtwAenUn6mXRhxzvmLhzYEVD9qzJj10p8JSWx7/Gm8JA073rubZNsS+p0zusG5F3WcfuISrbIpKYO7QVDruBwyk140lFMCsdxHJwpkQeLrGfB+xXtGO5+/jJVLuwTD7sU01/PHELQHuiUt0eOhVpzZRW5luPo/JzRIVotVlNajgjNHhAQ8eq1DVtwEsTcWFwZgHNXtAmluX9eOWzHNcKRcM4VZY2fe8TvFj7NZmpY5avOdyIyqxfep7r/PgWEsLMpDdBwkrH8N3yyTERJ3tza8JLaZ5e7ySD1u9JTzOLDHoK90rHZDB/kWmGxfafSfgvk4MzrgrPzziTVMorUhD705BJIZBlZfkLW812W9sUzkLtKIoSZ7MwN/8xqoWScxytmzi3iskqdcMg4koNFdPiyDniwGvL1deYQDxeGY4QqhbRTIhw14pFLbw/Iu7c1x9vWNkdSnzzkVIGoklIUIywBJxX0z4m0raaTMR35jvhOQuWnwY1TIkZ1FyY+swg9bMnqH7qfUp2uarRfaWKlzWZejJldRqBKHzRZ3ytKOzxmUtklqKhc4EnOKn0wAqmkKRFFwezrS5gB8VBhc2iaGYKdg/5OpdaG7bQIp2NdVBnLt2e5q5bQMKHADQe2JT6sY/jpnPfZucksLekySbKAGuXP1ZD8ZWZFaRk0H/rlxle1K1vvqRquUDT6xOCJw4du/wH7A3Gi3PSm+gW5azfNflPlAbXsG7lGoFojFv2Y5kYdTQi/bUZEn3Sjootb94NgOg/kMNrz391bploBIxt7B1o/0TwwWTtSHn3i4pLWPfkdZHxFI+HGS9o/JIX1x8S3iP5evBcnTFgmZxGVZMsOQ3ZJUrrkNY9IvBirMWOLwDHU2OdSRCOHgkuIor3W/62IHv44Y/sGHQ+ioS1NPqL6CVT19rwlRw9nGpGH9Wg+ov3RPGSZ6nHZG+WJQXlg2sn0YhPMUKUu285nW2GPbxFRPF5Oiw0GxO7wgXg0ZXkNn98CoDhfjr4iQ+XsZG6ODHX9jxdeeiYF+OMXSyYLIHbLoVr+1nPxHNMiuVfg79xMo1WyvqS1H5LsqYWkuS4YuAjaelgVDRf4jWp47j1OF0tXcO83cDRsP9CsEaKaTFbNvvF6lRJRPLIWf829YJt/sOgh/DE0As1rAHf1CuZa3Z4uyM1U4vOW21wQ1PH4EZmOT1LAsFgHAwn4YUhsbbQ5+DSb2tPt8ap2zRPly07yp1yJvBujCLxXu0lOvF0S3Q5zdrBO+BIJ740inbbYSxQEHyrx34LzJZvU8P8yNUn+3IY0UWEUT1z1qv4+dR0m/4AjU8+/PHqh2zQj28p8OWzNImJWqOX2UaEGbLtxLX+KGHoCLWncK8TVqREfOmnc+lCTXvCKxo/F9B9Y2xvS8UWMMHnEsZQAOHx/CxmxChfeQfDd0V8bgFKIrLGSkuTucD8rf2WLii+P+712Igmw/EEONYQia6LAncFedWMgz6fxuJV8+kJFreIsrDdx6DjJ24ReZ0NSWnathClm3G5G5G31b3H+ckHuJ3oldqMJF1IoSmntiXvwAOq5MU+PxbV3jpHv9KNuuYkNkH00yfAhfckEHK13vhxgqYYrmBqGDV23YETCsuDg1KsuIGtXE8SYyUam9nBisLyjPCOcF3MXxV9yYqrTJqkrzpivXFYhJZqSAX2BhPnfG6SlA3MZ6A8pvNRC1VfNHXakdy8LXRrJ0LO+C6eWUFvpMmoGPNHlv6+CONThrOWleOv6Y6vrJnSGz4alTNZboHsk/cd7YfJwJPB6c9Y+9adsbbMcl+a7wh9SWILsV+FH9c8NCkqfbkP/ILB/gNTFo6tY7TP/PeIf3+wlEBWwGa4tU07gYCf+DGZo9AAoXa/RJYr2+gryurS2VZC93hqiYrSdBTalkL5uacK/ZxEb87CghmUEnjUnoTWmiwxH9mCF9VzZIw7Uw2r/RN4WQGMpDFzn43ksWvFMGiI8Zkk86sEu20FvqP81mtDzRBo78DH1T9ByKcOauu2STXbh21QZyfA49fM9hSVCrE8JZnhBj/5lADvLwl3xyHCvq38QndjEAf/vX6vRLHRV9/pFxkKF2l8eC/NJn9g7i3Bjb2qyYPTiZQ3yOafxI3Kygz2QSpX5hqyY9PS22IJjl/0NWIoNUfZLVchkCKdwvAONpHLflavjDS/znjKG7sBZkUKMacbGhYxOoI9RfD6aBFeUF7J3+oIhwJzaIIfts8WGSBYwF5McOvlMYUF8EhbO9deS87UPlGpCexs2sjpbllA+Zmf7Nr5LVxiqglEVJ+x3MASq1v36Upe4huscnQ/WXIXcudMZMozJ2u5D82oCpaidlpjONpx47nUJmA+YbQE+2xJNuXir8+Hudc0KdBLHSUt5paoTW9IjLtd0VT3YfDUMFEugqbUMRB//8ibNuCdVCXpb0b+8azWhsuIGE7gZCG42p2Xwth3W8wDB/zDZptL05+87NY5gMoAFccX/O7kNTusdpx034aV1Ngm8qtcjpSwiUmMlIT4uPcTJTRTwaAirgMbW5hnggpSbNpXdryghY5dDHqluxGh8jETBM+82n2yS6as4Kc/ZqpAffuqNZsdMZpEE0N938VnGD9nf3fk2GdsEx3KXpnRlbp2fpUBvvyKwrpRHCWKrnn8EdGEx8qaigTxWT0m2s1I/VgSoBMPPX4yfXPYzPQivrzkSx06bcYX4JSo3Uf0VHJwUOCrW2f/d7TeI4b5K1VKX3WG6nU1laLS1wtNKpbJnGKMObtIm4TiUb4cYaKxyC8faDOA9zjcacrP3rIzzocnTvVPIvBsXsBjGsfG6jj7AXVxwEeBp+s5HWDpsk7fzLbP4k9Snn2cAVcaMNO/t2DFCwtSts+nlRzfMue4mLmSM29vrNw5y+55FRYnynhVaG4HwxA1R76S86FM8Ae+Q3klJgFCMyopcYrICy7pYW3ecM2f5fSri/6nEMoq4zrKr8mJEb4NlR5ftEr8T5c6IyDrw/NrBBJR4s4Hl9XM+tO0Rrr1a1tz+DcnlzT+uly27FnUMjOsNldzHrcOBBNvDF+24W13ZVqoGLcVvXG9U7+MXxNakQRGhS7bwBc5nBF7iNzmCq8+982jeKsqB1O7JLf64dtUHa1AjXTZB57blvh51Tc19F5LJhyHvrsYEhUd32sVQSUO2RzxmvENtUcur4R/i50JlZUtbvLH2PJTHPu6yCf4Fq/0nVJiN/QEpikimofnWD4pL48n2njyclMrOvllgvTGIoUk+gZFQUUoekl984CeYzd64gjdj2IsEkrPGjwzoUSK9ZrK+ucRgymBeRpHkvLcqN/ZcBOlz5nRl0kz2Z1eaFioaQHrJ8OZdILo+NnrLlz2tvfWn+evmgTuP8/Ly+UtXgx6U6AEr4WkzSZ3ljFDVmgTKUDzezHeNGBMX53LQPBDsc7OTPGTV7pT9fJPcQ5lvVptFvt5SmlXqWoJaN8kfDIZ15ndSPBiXl8Ag3DP1SPKihxbznqs6eDPG+Uu5T7/MrCrk1vKa3t2S7WQ9PubXSWpUyugQ5tTHzWqW0Gwi399FL6DaCXsui83T63Y81CrIt2inl1eosDnQ2shZNKUIjyOpOrwhb1GB88lPoWhkk9s11wG83JvyfWnlfWPKWE9tm6Su8NMThqqlh9rks3VSM4qHYcYh6YyL8oMO5ikvPUkHTHlfuY5yBzDMW0qfZFeDLzhWusIZgklLvMPlh2ou/VeDPDc7b/Le3Ya4cj12puOZCApiN9SfnUS6HMRUVcQo7NCLT1W2DQ/YuzpVj9X1tN9N90OuS63xO0hZKq5snAUsPL9LH4UvS6iFV3zPMqkeH9mWt09WnQYx8F8MvVGjFIM4bDq48e7+WnY/vzcdktluAJdiMlt9wyN7WgzG+lzBxTPLyarRL+Vi9RlkYzCY+Pizz5tJd0OaRth4PCCzDqET+i/eo5/Ts1GwZKBa+K6WNI0+ELIJzG6H6x8csMSAvT86MXMbtz1OvX8yqXurZAXl6kusdCuogrr62pMC/3AucbzCokP38IIhHeuBp8EwGoKhiMjaB5+ab8qGyddGPHCTpPCbDRQEACSp/7Asia9c4mDKZhcHu0fI8ZJIa8Xv6mXszsyNb5d9x2DiRWl0x31jqVvAglFHGhnoPiFHfEYiTKm4+YtH5MxvR4C3bB9bgc/e52SubTjoIW4n9vTBX/po8cNO+yUuSDcpol79KTcqBPBp9YF93PH3ogLnk6c1fIVvy6Ary9pKS6miiy377U50qh+FcdWei36Pjc90RlwORaJUHjxhbioPqctz2D/yloJ7M+6gQBuaXRZRHElPvqQFKpv/OqtCALkY95roQ4BVXdXDTv95lxkP9lWdJSUQVdR46n8/HNuehqZ3a3xks+AZJ9BiEMX6cX5GOWXRHoipNHuJs2bLJ7ebzHIuaukqBDj8itk7bDrXU0QfiFi0yiIoOXFZJq9SvVZX7TB5UK2hcWMLX7dxM5+0VA07ordO6nNMyCid/I82bKDJSEF8aX+B4w+wwXhH3BjJwZAogjXH9URa7s3LrkoWTnG77QxBc1p+vTyKQwIKS8dxUUshpvOI0B3KYxHCxOQ4Ql9VwApfxXXC1kuJ5EaNNga4QUIvWxJRuXgnO2Y311wJcG6JMJbUTTXviHfH8uLcTW/NdIdeGYb4RyvdF1HPvpbWvXu7UfvcJhzaGsiKGGkmSTxJkbMMep5imzXEjqBazaruXpq+DQO4+eSo9jXvJ3uams2NEI0u3OJjrIE9OgACSTvfx/VfT/qzGWzpXz/yecQ+quSowSt8dXxRDXYJZFVSm08ZqXlVDMnW1k+Mq97jFghWdshXa73ZCHR4vTwkATUKlqWgms1VhB1Bxulf7PXfHPc4UfY7uCFzGLeFdluM7KXH0epydcg5/8uCHlv6awf3773u2/Lr9esJz+9kekQa3KHM56+wUXGPoarBmlmzfsqHwi94hwjMGJ9rbE//Iw5KsCW6v0nEkExXXovNOFVQjogNYGNNmDmPdU2jF4anVU+30Fzx/dI4+8ilMFAlAJp/qNOYD9ql7VBEXPmtmy3bVDiOZhB3y6JVhTeW6UZdXRwXHqW/fVC7ZaCzuH7cpslxbsZSH9zDnsupYLp3SuZkp3K+IAsu6bXSj9sGg7TRIWOR9yNTSM+M7Xkch5aFl4co3f0UcbAd6vb6l6CIn41q4hdes76IZZWxO2WV5CoDHEn6OlqigTAPNXucSfaq9BdrvSfDlZ3DdmaVNpumyeatxieSRChLg1ax/+qWXrk+gxve4JTQamlB5JbXnphvNck4+hNJpWYh9ZMTYv3FIg6RBCftxn+EV42+mv0otWWXDAPDJfZL4I3dGQm9sSsfOfYaA3sTWYVKiQ8LWcVHOM+35cFNZEqy1k8hr44LJ8MFHliTWkPmOrn9+tmv5RFPnruTgNtG/Ut0rg756XjfGBUbWkSpRainKfNjxxn3tTjfVgTgy2zT6+GZxLG/ubNCqkvEsaS+WI+yhaGG8vJkm54Q9W7K7nXrrKbW9jsWqwg/w2Rm3BYT7PbKuL8Kmouyda5l4W5C6G3GFZPskg5i1a3urzy5OJ3YCKEOT5lOPkEJa/eOJwN9mTKOwS94asc2fc5Zxqe5y1W39+aHj997a9+UcY+F2uCK70MegMjKHPhQQ8er0+I5ES5UDSOzY1OBg5V+eJkG03bQb8XNtC4moBoMrhcbL4MqXWLtc51HXqIkKKOF9mqsbzybQzwPniKqFTPRqGz+fOIm7FkKw0+Ob+ij5Y3wYlRNrQULBozNxqPF+zl74XXZeUytHjLmTX5yhPfhuHb0YjRtTtGBLOJrHT15dLdaW0ubvnSZ3l1ZaEQCT6n4pJtTyu/4wmECezR1z/NILJaDUSq3TcqlaclVwvyKoxXcHei0ch7ngfExXAaXGBnwp+zyGUNC8MWcgrsA/lydNYYakG/XTMnf2II+l0SDjkxENP8YhQGj3MBAW4zhxciVId3DP5sEt8a1O5G0XGx7TjEN0Y3hbanpzWE1UeW6zNfKmNE53HGgrgL7VaIAmgns5PYkF4xlbcTND5BbgYe0zIJYBHwsVqOytaH+9I2J84MvRDrW3Pob5iX856gD7RqpQqroXn1zf4VUo0jD9lkGT4aaPImEmRPp5ZXt/Xdopm8b/Yj7j6jyRcn/Sc0+rusnIIjfb6FVcG5uUvXzay0tILGHqYIucYvhynoCzwkBz7tvmtYl35vO/kdFaaLtBsm5fdozlO9MLWYZqaB0nLvW5+Zkl/PyZVbmeQ3aj37HRk+rNeXGrdZtEVFR9Y9TbfaOtMbrHzjtVbhKugwOvsm6HtD14Rv0RqWoynayFE4Eh3pz6bOhZRm1XAncjW1gVebzB1SG4W7odPeM6E/6VvYQJx2JvDI0zbav0sL0D2c6ZOclBIPGs/AL6/OYye1O/TFSUiiM1GHyKdTk/sU6zIIM4WRkasMJq2fTXzHUofFDE4uqhdPfjruzUdQ5n8x9AmZSSPlpihPVUvImi7BInkaDskyRL/TqRpsDcxc0TlymfxazwFuy87w0h8uEh6tIyUeEQnjGZfEfBPG4fc0TsCT6jw78VWzMiKNMvKTjmDpwgjsTgrTubovEfCy1eAOWuygsvHBq7VkoUuEo6FXoUl8qbnegjXDRsGUKF4xi+dL5+pL+hf7Wz0JuNNCh+DPFj4inVzEzSjdu/KGFy5ph9jiZN/bSb5ItpMqGcvFW6fmLb4SI1AE/fJrca57qy2mbu44B2lpNed8n0NMJ+1QlR+86u9ZjW7GY2BmBGr7bhM+cuSyIIomzrS09XHERvd6DyBkxXdbXJ3GWhDQB+l4Azv6wvOpZxNtFRBeWcAz0JyNwWOWaLKaHH7JE6aFHj6sP75gLD1AZIHDsuW08qSjUiWNlXtE4siuLQVXZsAMDJA5ckYOBizbbgYm7podUBkazPhL7wngvOqz0JD7Hpk0FVBPiNHfTCqIvV3e0c5KgbF/2IRFZ6Hs+9r1ZoYCr9FurGrG/J0Dblru04jW/U6MBkKTV3Z9AYSDP83oBuudOrJ3+O1DTP3Y6YcFtBf8CFb9U+ccmq965cq+tAW9KI2HpXAoslranPywAeJLfCdNIXeWeQazVv3me+tduwkx6EJJNw3SzsMwHVCxGrBXRG4eeRkcpzspJ/+Znc/pXdAHAa2NmfNqsCPTz+aWVPQ+51LrU0cV86bU6RuJL9JXgcdLtOSLwouNyB0CSDduVFl0HjnFDCOUm0ftWNQFco0cWVbwnj/pq6uXaMv0RK32LCN/u1in+xvA8FTSw698w7bH+PCW1Af5A81KFSZ7PMU8Ly24J1d7zHfDn5g7rRGO5W4VY1hjU84S0KzWQ41kSndlNaEgGIMN0HKWEWlaHVBveL/h8rtrOGl46CXpxdcoMpRZXkPr4PSS84Pn3xGpGjGGlw5D5DCvDuGJhOzFAyqofXairsLm+59eFZN9hUk4qMrJphKtqkCt5HDOxg6Ndq+r8RS0fX9H5A92zXdLtXKJFVCVA2svftadJe2iV36lYOlqjwr/Uu8WbBC08i5s/nqcOFmH6t2n0Gs7vuR9Pun3P+ljZrgFkZHCvusjCM2gXo5hPtUHgjadeKotevCzm+spXPLbJZcdVb8hvgSXdrU2tAtqcBoE69UiZU8pLl5z9r5o6dW76uDbKlD4bewU0WDK4Bt21UHzcV4SndBY8BU/0msXkRqnkbeCKi1PHfVrWDZYnBcTEMc7siwgYK6+4M8jxmtNNQ6KRvlYr1MbmQlKJ9CUxAqaVgqO4AxRcS5Jo9bhsY4k8TM9vrTid3bYsV6ryIFrW+F5gdovCVqkiVklrKSDIVR2ZCZVJ2CrICQgxjHH2AIe8B25OkpbRER0/nR6K0+aZ+OFrKNpFSczz2J9EIcHPWCbWziBKBu517kzOOoDLgEnm5vgeHxT6NOaUj/8/fSPPErtFfRLZbGSaIcS0y+t2fZuGZfXMoMtPqsEfpPmjRg1SQMCont12VkHuo6PHXRohCiASOR7RSR+BFQknTkb3vYIMqIcPWHv+L2ltwMSreeOEsfn6qN5lZ5jazL0dRIZ6g6qTVY9RzrvhLiVrYx6+Wdqz2pvw5tAiHtqzYzXkDNFzQgiQI4mg9JU8RNKvg1tXi3VeGhC30xUx7d/ocrMTZs7CzKvs7XzbZP0Y/H2Lu3EtvBJbePsWPTftKfYSuztRs2IfquoicLMwoF0E71gdpDREffpcipJGj5dfkvzaxN9QWrAxf7FV9jfY5r23+p8xD9IfPIJ3wqe//Eh/7t0XWa7qRezpWgp1u5Ska7CFhjWYlC2cWtDLyqOxs+pyxDhAmmgYvVVrg7toKCabyZ/5K6z1Pjh4pF3J6NQdgYcw4tKyV8NOxBUrD1ZvtxKZqu890JaN9mp2O+5ii2bCa5nCThGPkx0431sPkZ0zl6Yqfntk3jKvKQQzW5yQjf0a/hXqe4cn2qU+URk1ZCBz7si2esfGpdqGtMJBwkY5wDi4oa317LeILb1KQl+OaGBpea9kVP88ML3b7P69HmolCf6EovTTuPo3sEOo7z3oOxc7lulwqgtUFtOnZMm5YQ/iF+HU+fmaIMTnkjEtBbrbZv7MLLaj9pIpfW0xur9MadR/6lCK8lBdhnq26ADdqSz0Gn2lnYst7Xk+W1S7g8Xxa4I4vkNfQM0uk+8X5SR4IdevLmbXIFIRT9lmF0ZnkPUQbSntxoyl5HLjp+mY/fWAgx+OBx+uWNoLW3lNnmnm7GbjMAd9zrS1uRXXDf/hamqt816hlyWie10awy8Gy4vJ7Dt6MzZ8EWncGYGsrs80is1n0g8U0tu99Qzq1y+L1aoZFED9hj8MRu0Iq5G/u5jVU8jB0NmkejSO4aQdjcCN4WFGU5J5D652cf6vcziHAo01YQz1pBD+HnRK2d4Ezk1zwwX+u1TebUVNo3Xxu4syVefuEbC6cb+X9Fp1bVrtBa9FeqwK50EbtvMGjx2dQ3evwZK4hWpgg9C3BiLWvY6CZaNMykHXbBaS2lUfEwJTZYrSo58qQeQBxQg5cVUm0qVE1kwz4p1SQgJ1kDaR0suTyWrXt7seCXBsjjuG8Q/7yt/stIvfPKzotFNZ369e0+zWXpAGUUoGQhamJPzqMg3MVNT0nLFElmXG7SHWJdQvB9HbxzV39h1S5kMY5oq6pBGDlbnONazx7WTjOnq/YQW5OveT2DUBadHvPxj25n4/aQcvLTqXdgkQX7qTEwAuPysEPxJeJZGJgL7uLICqQj1DY+66OZmxvXlsIfvCN/El45QHlofHSSekFdKG5Tb4ySBop4TNSwTSOKzJkWvDuB/3hjv0dlIunb4Mt2q3oiK4YaOLDQ44JvXSX8LhK1+drWUYWrI62uijJbYNa/ZygpIX3rr4KqiqsotyH4nIAB/lTVsZmIfmWxtA6CN+FjHn+/mTtlqLT6GXiGNPZkezHmFsi9mPGeHg6rLJ9E0habSnWxi4oaDnk39PtCfKM+0LNueI9sY1EBnFJOY8R0mx5tM32+lrx/MVSMO2xtKgsIs1MmNeY4O9wQY1rv6ZuUrbEiZeozzm7Sz/TeVTuqo6nWDMiwWa5+2GoJikX43Hm/AFrzB3BLVEA+JxxNO1ebmm92zxphAl5ejfFu0Udep7Cg1+u2nhGHMWfiJZKCpLSpc7iJLa6/fLy+s33KE1oADaXBNHQ3O5rhzkcJ6nXTEgvM5jKaQOQYFGeW2sbQkldJxH3U2yERGpcG7hIJwtXF/UAbvc+jxQncE0vWnr0Rov8JOddjBXPPWNGf9594XxtHHfZIfQJMu4g35+KA3J44abRI/cPQH2q8YQUaRFM3UKJnJF/audHczRkHO6k9Zl1gZCRdtnCLnxEX49LSFRUxOWV5Iue3LN/V4WUxPLFZ5Ro4qJDawPVXmuN09gPem/35opJEo4vGx6P1CjtYPKfaIg8WRj3tZwG2tgRyEiLuOKk0xjzxT8V3fIwT8/qpZEaIARLmrKnV73ikfFqQRg/NmLMiWvR2Z4nPlTIfK28Lrgv3DJUadFEaEwa59xuH8mA8cMGEBGfgL3b3xNImsjHw6RWLZZg2ptWYU82jPa2abjchL6a6/oiUqmQx2PothYLDfg0/eDoAcYjbVvX/H4/Rp45V1qsetCzx5wVw6wk8is8YYg4GtjvQejbCvdU1uq0tmMtJf1ckp5yrRvTqejB/RZQlVRfwSdKYf1t3dXL95YTukR/FEka177duuCoA05/L9TAep8M/19NKZfjaRU5LOD69HJlCHeNIVCgWmEy2DA9RM+fZ0opzqbfth4mS4xYq/sq+Ei/M/rYA0NCYo5N8+tYy5ZKnoHTfAHpr+yMMT8lxp8VQ//gu3W/n+Trt7SgN+z1xTkb7j+7fYclwG1Bn2iX6+vc7M4kg/cdUiLSU0emG2K9cH1R3HPXHk9K9FmUfqZip+ep4ICcXqaAEj8wUtBHjC0VxlnzOHExPV9ld/6nW31KAen5GyqsE8bMb/mby4reKVt9SQ0E1L5EPc2Tistmze72HZ6ejWIAYWM+qzNcEd7emXUjlZiIgoopo+k/kV6K9iN3uRTa1wIv6br3vjJSa/jP5sbRQJwqjJvqHWhPp6rBme5AJKAIXoOR79Fjrf/ORIRX00hHRfc5ecNo8K8diM3eaU0H9pN6h9IKYD8tXWHmyv2wahxGtGzJgbVTQZYDjOahhQuBgBZsixtr9MQnCdLC12ufvp6NzHzYA29ymkplqkUqootuDtJn5nwYIW+ujXRaufOV+kGDMJHGN/bH8tTXitdNZBTsa47Jemphfav0hQRUf8aUl4c2VKT1q0PCjP9Jr/BaWTzy5YinenwZXRqNtjW7Loq1CWHH9ADc/V9oZby04w7p7VUGQEgmJS40B//pTXVYtj+YhDkxLlVrmjUq7tkkcwRoOhG9r8ovCUjzEviiQe5GKp1hZXVf3K2FuVMPZT4u5FO3XyVtj2aBEhtmuQN3ZCCNumCeUlvhNEJ3cVM+ZYJwv+KbznKHuvafR3dauE4y6ZWmADCyJ4+B1DU1t2jfpyql8VG3c4Fykh5jKCYgPTnl0d1W9/IJ9igNOg12jw6R1fJ4IG1UFZXIWFTaHFTaIY7DYVLVeifGutyEr8C2CONcJUhqCmcjzzd8zhDuOXLVvWDbX6NDovL2JvOKun3XRr6D4Ndgr5uxFFm23hEcoGb8fpb3DqqB8yKE4dFL1HtpaFcxKx31fRVPkG/1VYVCj1dLVtbw93h+kAhADnRxqNUEWauIPQPi/Hq80khnIzHtHHPc/NSfSTsGnWSy9d7fkw/uihwE4upeDaFLx5Mf2guX0T+HDnN6sWndIhPioW85nuev6d6tVzA+KPRGYMLF9EE9zDhC5bV4ipxcJMhc2UF+VpkNgyzSUlehXEJlq2UX+dlH6kt8RnTpk/3o0VZCsvbQUQ1vP1IzH5xSu3tSlT3GrRkNrzMAZRNHBJ58l8Kjt5vt7TZNeIS+/3AqtcHZC/ZmnBxG4Pur4lZwr22SJol5KVIJH+Gs8V19Kq3iVaX4HjITmN4ngeNgf2HLP/ukmkKuYKJkxKP5GfCk3tH3Q7Dira1ROlxSLNM4PYWbP7Pvm8OMe3MDAYTgUBZdqCVKmsYs4VCVyzv/QOstHR+8yYVU2rn6nu0fBU7sYWawoalzUP5UKCVmGjlHOo0f0NWEAhUqIYzXcotyV8TT55WKkTRr6xvZobQ0mlbIfMahDiATbBLxrNvzy+EA1Pw7IZb9ObMWIaQwKPJTZutApIG/eeRe89FQxUmIPXn9i8nXrhRnnGurroUTsaOgHqXThmLIZBPMAR/SRTZgVs060F2rPGFeoO8BrA568Gqa7h2dIVPK0h+oRnpcPMKBDtmizn6cbX2xxZQNnoloX7iy/5sJ7UU94kqMXGdRubtvxldZ9h7HBEPOhbynu+pLjx/eUz80M/HJZNGBgUuG3ewuLY2MPvJYmutxl8RXHUkhISXpjnmU4nfqf5ZH5LTDCByTOkxCE76RHwRyZSJsBPAxd4svm3BfilNEGLHzTyJwq/JbRzcfV+yI9FUtMvE2n8FElSrzKnj1rEwcm3UuiFY3HMg21ufxsV2tSTy0hKcDERnyNQ5uHb4Lfwzapv9hOnULCVK855xLpVtuv3n+w9ybC7XWAiPC/bNLwwPG5UBtMvEpwfCW5mqp1tjbB7NHRmv+VGL+8qZHBcYSvwR+1JI6ZgXLgrvriJQCUcC2QTXMHjZrd+2YBFAdCc39PcdREMHyggLDVpL5w4mnIPZ5Qhtx8fbeBY1MhwZXGd/ZqP996tCJ2wVUX0rf7vM+MUlndoVxIvdZEMzQ9JM4xTMNU5Wk9eiPz+PZplb+ng9g0j1sCITjqQ+TQvJyBmYoR1oqga0q5NSezdXu0Q3uGhVR+4y7JQl0w0L+2KyF+gpfIFue6qiSW17615ndpPn5RL/+WTcxl+4gtmtBenVixbiv14MD3xY0N4L3LK2n6gXdhsMYzhfNWKE7C/y2xW7otfVniW9pwmSpf8pvF8FGdK1f6CZCWqJte3jriJOY/VBbuJ6az2WZ/LTrgaTiSBUhCZB3z66wo5goF0CRo6QgPctE8imGoQ+V4EgoaKq1Uke1F1oAU4FEWhzTnvLKa5PNP+5LfLetOQ6XR4FmGqm3A3I36K1wetAEVHoc9mmtUQgxcDnqBjVvlIGUtHbAQ5RcfUcEe0aSZ0IlsMlachdjkfQke4F+odcQW+LyaIKRdDLJek3+cKNGuOHBmf1Ywa5vZtCBZRib9rzrdV7lIvCmkle6G/AIsROyCdFDyQfYdGVeg3GqScP4utYqu2sJlFtutgrf7TpJ/E+D3LVv4090x601DttflXCB282D//4NWDzeEtcGL7ql5lMIUgOPk5hmefIv0wdv7ifJP3qqm+L96ywqnZF1IpKuwBy7LGKjmGsiimzlFTUiRi12P5e+J8l5hp/ZcpOVKuhSCy60AYm37L+HDDxdp1+fHhZ+v+txcRUWbJg6nd5n5z1G4Cs1INIUPjErzj2ivB8uPhLXHU0nH1Jfixe71l5EmC9AcFcFIh3EKC9LKL3/1Iy1Ej6iO/DHTAM15bjXO931bWc/zhthk6VfYOv38yCrYsSMyYZIuwuIBgQGrq87BQl9u5ok2ckLPAwja1tz68IX1b97PzTpQsGY2nFiI7KWPfMvwCL2oZWL0b1eheI+zUwMadunJEllOVw1R6hnnxt5ECtBBqI499FAIGvcQK6IzJqHaYERbSRdLvvJwYB/D2GoPZPErpEav2pHnYn45lrdh9o9jR2HqStfkr56u+4IZoi/ShhMYOa6rsO37Km7y+PJTyNRxi1IJtJwjW+kvT5Ylqio7CfGNjiNPeLQbz3fpcX7xygF9BouYXu2RgrRipqdQe4gGqMHYx6na2R8YXjWEfdLo7cRt8nfP1KbiMu0xhBZonoYU5lOMZDvvIW+TZsck/LBwVblX2dIj7rdL3h0c1bpC6vgaEYX/6PUCbE9gWK+DfFqSlSd6rJqZ3fqZ+7PxJaEtRjQYNRKrOocEknqjN3nvCZtq5j+VNbtYvvNwp4/eWm2+dPalPrNjpXYmKoWYmPyQn/Hl4++3QudgHq3DYqEjql1tLN1U7oycdewy0fRsu0U5txqqlmd+ezauddMVyD7/tBeYJBhquE/s8O9GMmTf9zL5gwGkdaq6es1d63O0HDoRjQoubs0MMZXt6E3qBupGk2PF2tjOsjJPgnDzN+B0ekeG6rHy+ovoTiYAFZFyZMBe1PrL+H7hnoQpl3PWIllE0tG5wFYetbEDJYf2SrQ/jWUW41AlfDnVMU4LYNEj5SbTyvx2mkVDZcPodO/G1tgRWycEdZnWKNRTIqrVqWbK9y4ns59ihWS6qewOv1C2GncofEFb+0TLRJpikbdWm+CNbEAl2/2TwJdlG02HeOd1BkFm1OC2Vw8cEzuuPcC9Q5U3a8L3fx97aS35UTvi5KN2TDsrQo5ioAm4UUrFb8sz9vwDkExvsJqrlwCgXbfRTksUw1lt8VwbOZqmQAP+nCWap/AT1Bfl+nXbBcG/ree2vrI91Z1fcFeqUBYbKktAbAeGHfsZF3XFiqMghJJnljs/uv27bgCma3aY7a5BxqLwfK67CNbyGNoi0Pq2ZjzI3/87UuWoreRdvlwYl33+ULMEu3AZwKGcW7HxZx4FsaMOMbBTz8IJpSCG064Q+BxS77M91aBy41yBxT2ACtMKR9/HXBdTdAuwA5vlMYyGiyJ1GTZ8n4LWTWy+xqLr2kK3VyqAjAilxvZwt/PfdBcigWu2qZzcc1S+U/loCeFzIY/KRLC5oqKhFJcFWbkzzQ8xLfAb71xo0ueSZOUF7yH6++LNFr7LPnT5Wgfr2Dk+74HFvQiqk38cnvYuKyP9c7qqwixDcFeaN1YJ3De0rYzuQ9tecNudb40iExEYXOSVg1z1d2eWM/ETMyxYaeWRxczcEam9zwPGMOfnNjIPBjt0HEm2JCBtEq+jg8/8vb1QieFE5W3seN+LCONfh2gvFysXQ2eFhWx1kDHNI6Ya0nhBtJlfw3nOdlBy6WQIH+aJvwy+QIaixbWi2eJd6Y036S/VYtHrPgxO7VbhNbVZ1iuN2RtiFDb14VtywXYL7R44pQCsuaQxSh32yEFu9PZM3c/mWKt+2vd/vuL117XD4lNsusXI30PHBGuRoo3wjukyJPlnuG9pOMOR020TXtQN3w+yJIO/hb+Uo9X0y238r7RbBwaAMoVfaZXWBtpg3wz67D8xGl+l0wUDPDgEUrUyUaPeFH1dL+Lmt3FU1olqKX9RHhtb3GHqtQV5x+cuCAz9no/pf7XzoxVyF9ygxkz1rHlz9ggSMuoj6TePOqyuXtgZr6qDX5M4m6zVf6XOZ5vFypM3dN/WEXnkNJbweawgf7krR5++3hwjzracrMIKjDBAwCJo7TlKksoj/6dj9fY5E9fjZQC1zsef0bNtFciqZGmyJ30hlCFnwy6CsVpo0lG8Fw1ch4eF+DcrBe4dAIVQJPD2c/DJxuV3Ahp7oXQ4xUMaBe7ctlsHLMYBYiF8zEZMRuYiNC+mWw2AxsArkx2iSkzYiTxNPCPCwtWv5mgYnP6NrcL03NQTJMrXplXWPKrsPubbuwG0yay1zYBoIvhgYCxozB8NIFyxYHIZkElwbpOBsPUmKdSmlqXP687/nt9z/c0Q23Hr8CEM6N5w3wGTajznAQxeuyObhZvAafyMn9Q3pZQHY11SsDqV2m7o1BOnADZ097tgeJyi0YrN6BRLbPpnyAtW+7Gaz7ezCK/GP+Q087V/8AZuvUB/NWUsFvdli6zK65oih64U4ne6eQZtLBV07sAI52ljxdAfhxruJwnflfLJofYKrUdfdczJXlB6Lfb4WbJyueaYKypN9TZCId5VEcAoes3mWcSD7kra1OAzX6Oa7dEVoQ1pnmLBEAcuZjQj8vy12z6gdUBDUKK2GWd+ClsGfQE+3S5qSNwe9SaPAKHD+GmanGUO+lWeZ0KOldwnG4thZOyxBQitIckZJMnk5LfFt3wbOXSYkMo2Zqw3phrc61W9VCsb7Gz5xnX09EAG0AMU1JcaFHDWrpBVws8Mx6q6g2dNqhr7Tm1TYZjIIdzRt6csWXzRGdJKn76EawScuvJbN8AiU3Ws6qhmGINLvcZ1IZ7wmQIIMOk8H8DEziiS/4K+5CkYCldO2oaAfrRZkTtDnl8JPqXMTQ3KXCsm/fwig05Pfg+JYvozbOJwpR/jpqa3oRJiheP2Ubb1RDHIowdVVSkZkAPCNmhb2Y/zsgbF8+Wc2MPpO7dcvIcksFY/jjx20bCOksLp3ujAXLQTR/vHcieRok3fB7yZ9v2iQAcnUgL4UiaBzq+4kJ/D4c4/hzsMVJWXRDLIVlYdSbiXlW7j6ogxATqVhETQpRIsr9DsvW/21ZB695q+QxlFwvnD+34UX7rkWUOnUHWORnCItNexfNdWtB4yuxSMdSiZUobsxzzu90p9LPD+Rdh+8n/XIiraAOKcRm2Eyszrs5br4uS/2snGFGDw8+PUVbtx94z0b3iHQqQLyHF9QAMvYf6gWiJZpJgthbSMaWHjCy31h0Q0eOgVCN49XLRdowQUdzxX4zjEv9ejiiIGsbCSSxMgJpAG07Wb5LzkY4ylIdL63yS48ChUE8Hd5CGa+S+h1dLMhjt7s+s83dd97SL6XbiQ+YYZ8Rf4RgWATxfvpmHdTvKsnvwOJKz+S7M04RjNNoMXw3w/dI0rls+QLHpsKpVrweeqrKqqT5wun8olh8MpixRhJrUtmDW6H529XB+ou0IYSjRziCSOwMR6ZeLm8ZQ3HczOHMWd7LNn3NgVRJTi1GYgKwqu2hYxNpxPt+R0LyyEWze9F4upajT5KoVLlP1mrcXOMFx052pobCEBMr2IDLFQXlYKQUTonEjXU5efDYvcPnimLO7SCu2N9hSwRq+ODvFqle1fq9MC7hvPm8XdAKyrPdmyiCHO1RKyKYjqSBQYFy5npJw62zetc2lGgzghlWhtAi+lkWhunKSBRhfzDb8UcZaeaU0s2/sAaWT8RDTB9ag0aH0EzM+VukoIfA8y/9nURkE1kAGA/hmzi3W0Ymsc72Y3dXqiL6FCbncDCUT1EoHcNOEQaSGx76d4T4QCzbPRYfL/+SSsmSJPeuxkMR0AHsEISj+tDBGVzGG7zKX8V6ExmDh03WBJ9rxmXS8UEFcayFIcnGd33rEvGwbuOBrVCJhuwe11WbFbNASbe2oq6XzTMgCY1EHCVP2IMjinfKec51u5nDFu4E6EgDesMNEA3TZMn4I5uNxnEhXmBMrEf8yBpwEIEC6wHvY0qJY011MuUJ7HcXPrR9IbJxUxswrxfZeHgDjTXupagn4uir+z9FRAqYJ4Ozab74c1TX07UnBk0b5Hz5J8W9Af25f8B3rPdHKNKK08y0er2YN/uBPaynVba9JeyJUmqjNVwRNBfGLcQegXQvTF564yssm3L5lpuZKqDoAjgO2uNvoCU1o1cZqv0asDWhVzuwEOJnhm6f6nX+d8ObrBubSYvb2E+GTimKvKwW/jSVK5+HcQjmb6fdiPzCWDzBfaGtAtBWyFmLCaOcpgyTkUq83gqbkzphpWKbAPTFRwWN1/4E76vYfArscpoUw3JVbTX0umb6+ixokVpxJWpAwhl5fmwY+UY/bUKd8n8ocIguCzlVGo+yMKDwI6MlxlRgh7e8r4R0HBHZJFFk7sUqfRh0DVJPkZYNfEir4abPRKQB3gpZT2cjFfBjKH9t1/2YNRaFANoRT3moW0klhgGyMuInQ8dQ7WaPJSg3r2zKMOKTkHAIO0y/OWhDuhkj1AnyAMKbmhXt/pEi22YhDJyuc/HRKcb33Dayqfj2XSpuTbxJ/hIfGMidp8y+VuwIlP5uOID8w22W1Qw5t+lVwpoHADrJ4Dovj5PNNRK/vFMIe5nuoLfhP+qZ5w6Klpj8lnIEvNvPQsgXqmMWfOS4Ilj3ZrsIj5y2zXoZxFpkWtnABt24AzWx7xPTLhULgKemTV3ynOBJy4c08HoAVbaO8qmB3f0SJ58P9eP1VJtQ+8RARASwerVDlNSKt1oA/IRFlgVW9aRYRmopVqOsEt1r57kolZfJWyF6vOa4qFJcLhFws6PPGpgavpCx4kDIPfS1WYpb+kMLoNqwQdi/5qgkpCv8nJJZlIf0hq5lnbWFuvZZwU4PApJT1ifFlJWAcqUV3+bAnwHQoxJnJePcRurH968VzyRustnbL6lBZha+TvF1y7TWwY4wzkabYfJfynA11FGHyZDupO2ZQUR6dpFoui7gk8uA8781COuP6rnrwo6I087tw3GNPg0LNPDBZ8UBVr4AL9YKhHccZg93EQ6GAmqpjzzK0u+c67z52z3JEaLCs2v87156W/Ynv5chJh0LmquBy+wFd/Hgp7CEv3Ctyg1sX5NckXvZPLvlG4IQYzQwmSH9NZrnovZkH+uWGvZyCouZ/DtuxbAbvFibiRIBE+Mv2AvsQgcYtd3TqqVzS+5xjYqBasy/nrBm3phh3sPZHzzVMZnIZW6up8DCM1H5S/ctxCYPPx1WdbBI8pswyz2NtjBi9Ve8y45Uka7tcchgqFS+NhYY87BtsWEp34JAaV9E1Z49RdrLteGaPY8Lb+l5mqP8r6o79kHefLI5zwJiS4+Zev2F52J0EnMKWoT25PcWXplSCvUG6AQwk8zLysf+FdjzcQnpb/IB9DTWm5vijc+F5iCM32+0Hq5XwueiXvq4S2ebt8N+0BvK4PuejOfXXAvakdX1xW9V0eWXrnp1iqcYK1oZJO04nLTRO2BjR7qji1Vfu/G/5B1Y8oOWs7o1QnonXPanmZOsruca34iE8a7XX1wDeImyxZKZpsvBiQakNzmqwSm8YeIrNk4H/hcAjUaSR1cdaAJ1ZXOmIs9QHatEg53ALgLtyAfI4/G0NckfMwCQ+FD1/As2d5NldUzHQZAr9k4uPgz6sTEwREff+h3d0b8CSmrCx/FSPtCE0+5U+rEeqXeS+qi+PUXf25qfC1ChoVVl9flVwb7b3OLR8uyyGDSq8K00XxoESYRETM4IuB8kc3dqqg8Ao8mYGZBaSpJ2lOxYoyT+47My2loJk7P4gPzp9u4GqxgktwnQ6YcAmMWSwpWa9OczYz4RpB4E8fSoGd9ng86N6iTe5eET8JYbERT7yBpU4gHEtsBhR4oQK7PHrucWpgjC0j9rDu8snsni4DVNoHQRlSRCu05dHxTrSuPiUl7fbKehxXFERXcSSC0VkTmEKPALa8Co5z2rA9JA6P8wZQww47WjwVxKycpy5dxUp0/6cCE28oW42sECUqBJ6AvI2w+88cWGQNgfVFolfObiC4UR+Lyed929doVoZLTfARz5rHF0x2rR2yXDZrWHxzAlZrr4bdYqreKaSrVku+wDYgnis2Jr0Q7cRXM/3tBDlOX4MIvDRgWxvje7IV+2v+mW8JD3cz0f57+c9A9t/BUNFIUkP7O0XagTcPgDcxTp7qwUyJ5qJ1E5lA6dmC2R/W64JLoFvdHA9JomTmf+R9PH0870Dsp2A0BM7TLXGXzdpmAC4D0g3fSO0gp3m6TrMoc+fB9/WBf1Sh3i8OsUAClxatMEczatadTYdet8b7gcVTCG5FBMFq40bVtTT0giELSKv6IJsqzJgPoCsM05kFBVihWYngAr6XQ5SdxlJtt3Vko4+LtN+1fFZYtfb6+XIQJEaX6FvNny3vm+ERPatPRjL75MjYjQaRAp+/Mrkz5GQ6YzEt8dFqs1JmxXIbqw+I031m9iU0uzo++Ub3mxpyl6jy4hxQQACL1usTBK0mo3TJC9+K+wO4d8qzDEcdQQrjeeXDwkFZj4Xy87qcaDdzhSedaxbgyHZMjsQRarrSGMGqJn2f7SRMd5WPcTh5oKrmJtw29GVsPWCO+C5yCqdQYzRRXSG2EORaeI1JUY5mZsS+i6gsG0HiU4Cxd+XGTlIKF6MjjSPTeyvbQ/3gXmBmdVCUCz8yTs8XJ72SKsENFeCoXlUYmFPxr5gVPFk2YUWOwAJ+JZn8EXyw1/9gcfaE+6fGl9CS333GWXcfOLaZchfwysD8JRXhZ7a/W5ggKtzL053S/sYtKZAhLxJX/ClocNkuuLgcDFTQulMUFqye1HAVVzR406magyZ6L7j4JS3va/lB3NzWoi97qZFmH8RfIVGWGfLgXLdfnkbJIATt+yM5PyTnyvwcS8tzvy6npJ9Scc5qcjBzl0I23EywebIQR11lumjSB7M41X0bJH1Xtc3+lE1H8ViNXUWEIa0IhP9bxY/GRZkBABMtev22nKm1/+xG5kufjnxluHlQ/DN7FGtSheaBw7fLFd49RNcD7pG74dh0Zpen2JnV1AXV1GiSjNUgU/a7m5YCyDOJO2W5+ZG7VBasRKX+8RfqsW5lSfGdUXwBhw8Y+b7RbTlt3C9A9QJvTU/ou8j3Kp1RC/CuBX4nYjYDI6Z4ViDUs9IVyJ767MQg8s4o2h2U/tUj/V1kLksopqRWHvAVAwR+0HgOv5h7RcqGGGYm4zwY2TBjQseoTTN6TUbk98y3pHXNqwTleOiDoRZ3kBlSoWcI+ebrU+26SyZiqYXIHBLatZzcOOrYyE9ABWrBxG7UWWUexXvvAmc5ZNT4KiBn9K34Co8R9kyopP6nSiHq/udd09TnViBD0nKbQlNXo6wHpFp4lW/20QYnwTMbGaeIGGj0Qcd5IxVbUL7Ysi9eFHMMj9yfcpyn9hx1F9l4/VpfvbwKeZTtXjShxrhrqwB1hIQDIjkPMchy/a2JMoPKzkLhjDaYaFBs/wNEj8zBOVtYcIStjefvc/nbm/rSJ3XDK/qhSdiMEqrKwMXQZwEUBxCiWSrfWS0qfSGEMkkmymTZetY11R1I5LF+16F7C8JSrBtTbSY+YYT0WsB5iDn85LfdjsgPoDkkgnQMSTOFs5AMt6SqhA4tvibUmU5jZWgVplNojDACcuSoYfTlF5uc2+j4m9/2zi4Ulak3V/TbT0H+l4i3dQy+XWUDyRvfHa6CTQ2D46/IO7DnDgFkxI86JaZdBPfv1feD8K0jxAjqABRr20jShtO/p+YgXv/jFEUAOiclCjW10sFA7m49sb4mG7T7jmkiy2uKULi4l63I0NrQBkavCa3MG0CpGIF7DuoFcN928+9w4atIOhQV7eUsnntr+oAwU+5+Qd1O2k6SPax8TZv/XOVyrVf53AXYFTV5a52z1AgS+gXoe08tyyqJHqbnAmKER3dSxt+32/VKRPv66gw3D+GAj9tPzVr9NJxxaOVgpFPFJiFsKZW5kc3RyZWFtCmVuZG9iagoyOSAwIG9iago8PCAvQmFzZUZvbnQgL0NNU1NJMTcgL0ZpcnN0Q2hhciAwIC9Gb250RGVzY3JpcHRvciAzMCAwIFIgL0xhc3RDaGFyIDEyNwovU3VidHlwZSAvVHlwZTEgL1R5cGUgL0ZvbnQgL1dpZHRocyAyOCAwIFIgPj4KZW5kb2JqCjMyIDAgb2JqClsgNzc3IDI3NyA3NzcgNTAwIDc3NyA1MDAgNzc3IDc3NyA3NzcgNzc3IDc3NyA3NzcgNzc3IDEwMDAgNTAwIDUwMCA3NzcgNzc3Cjc3NyA3NzcgNzc3IDc3NyA3NzcgNzc3IDc3NyA3NzcgNzc3IDc3NyAxMDAwIDEwMDAgNzc3IDc3NyAxMDAwIDEwMDAgNTAwIDUwMAoxMDAwIDEwMDAgMTAwMCA3NzcgMTAwMCAxMDAwIDYxMSA2MTEgMTAwMCAxMDAwIDEwMDAgNzc3IDI3NCAxMDAwIDY2NiA2NjYKODg4IDg4OCAwIDAgNTU1IDU1NSA2NjYgNTAwIDcyMiA3MjIgNzc3IDc3NyA2MTEgNzk4IDY1NiA1MjYgNzcxIDUyNyA3MTggNTk0Cjg0NCA1NDQgNjc3IDc2MSA2ODkgMTIwMCA4MjAgNzk2IDY5NSA4MTYgODQ3IDYwNSA1NDQgNjI1IDYxMiA5ODcgNzEzIDY2OAo3MjQgNjY2IDY2NiA2NjYgNjY2IDY2NiA2MTEgNjExIDQ0NCA0NDQgNDQ0IDQ0NCA1MDAgNTAwIDM4OCAzODggMjc3IDUwMCA1MDAKNjExIDUwMCAyNzcgODMzIDc1MCA4MzMgNDE2IDY2NiA2NjYgNzc3IDc3NyA0NDQgNDQ0IDQ0NCA2MTEgNzc3IDc3NyA3NzcgNzc3Cl0KZW5kb2JqCjM0IDAgb2JqCjw8IC9Bc2NlbnQgNzc1IC9DYXBIZWlnaHQgMTAwMCAvRGVzY2VudCAtOTYwIC9GbGFncyA2OAovRm9udEJCb3ggWyAtMjkgLTk2MCAxMTE2IDc3NSBdIC9Gb250RmFtaWx5IChDTVNZMTApIC9Gb250RmlsZSAzNSAwIFIKL0ZvbnROYW1lIC9DTVNZMTAgL0l0YWxpY0FuZ2xlIC0xNC4wNCAvU3RlbVYgNTAgL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9YSGVpZ2h0IDUwMCA+PgplbmRvYmoKMzUgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAyOTMzNSAvTGVuZ3RoMSA0OTczIC9MZW5ndGgyIDI3MDMxCi9MZW5ndGgzIDAgPj4Kc3RyZWFtCnicjLgFWJXp9wVKd4NSAkcJaTh0SJd0d8cBDt0N0t3dHQKCICklISkh3Y2UNEgK3MP8Zgadmf+99/F5lL32fr9vr+/dsZDyuYIyg5CJrRFI3NbGiQHIyMwDEJFV1gQyA5iZWRmZmVlQKClVwE5WoL9wFEo1kIMj2NaG55cIEQeQoRMEEzV0ggTK2toApJytAEBWAJCDB8jJw8wMYGFm5v4r0NaBByBq6AI2AcgyAqRsbUCOKJQitnbuDmAzcyfIe/76EUBtTAMAcnNz0v9xHCBkDXIAGxvaAGQNncxB1pA3GhtaAZRtjcEgJ/ffHgGgfmXu5GTHw8Tk6urKaGjtyGjrYMZPQw9wBTuZA5RAjiAHF5AJ4IEzQM7QGvQnN0YUSoCKOdjxfw5lW1MnV0MHEAACWIGNQTaOkCPONiYgBwDk9QBlSRmAvB3I5n/BMv8LoAf8+XUAQEbg34/78/TDg8A2fxw2NDa2tbYztHEH25gBTMFWIIC8uAyjk5sTPcDQxuQh0NDK0RZy3tDFEGxlaAQJ+CN1Q4C4kCLAEELxT36Oxg5gOydHRkew1QNHpofHQL6zmI2JiK21NcjGyREF5SFBUbADyBjy5d2Z/rxeSxtbVxvPvyxTsI2J6QMPE2c7JlUbsL0zSFL0zxgIhPKImYGcAOzM3Bwc7EAAyB4AcjM2Z3p4gYq7HegP5x8whIS3p52tHcAUwgPkDTYFQf5B8XQ0dAEBnBycQd6evzp+t1CAQIAJ2NgJYAQyA9ugPD4dAoNM/2dDKsAB7AbQZoYUIBDA/PDn7590ITVmYmtj5f4Y/scd/8X1b1RY2NYN4MnAwg1g4OZgBgCBQA4AJyc7wPv3B/xN/S/af6AKhuA/0/rliZI2prYA7v9lD/lsfzIAMLn8WRTUf7YMDeC3VwCY5GwhxQwCUD/Wvg4zO7Mx5C/g/+8O+OPIf9X9w1P+P0v/XymJO1tZ/RFA/b+IfwcYWoOt3P8MgVSzsxOkM2RtIf1h869YddD/GloWZAJ2tv6XW9LJENIjQjZmkDpnALIxMrP96QA7ioPdQCYKYCdj8//V0p8O1Yc+tALbgBRsHcEPowdyjpn5n05I9xlbQuaLI+Tu/vCBIM31++2K2Rjbmjx0IQs7B8DQwcHQHQVyo0CIyQ7whPwLaQyQ2x9lDmBitLF1ghwCQKh6A0xtHVAe7pgZwGQNtnF2fED/AIAAJjvINdmaQJoe8kkgH/svDwsk1NnKCWwHeflfGCuAydAREgZ2tITcp/nfOBuAyQQMmZGgvxH2B8TQ2tbG5LdADsjrrJwdf8+B88+kHjx/g1wAJmOwg7EV6DeU+y/0HyyY/8b/mTKkP/90/SNDIMvfDlunR5T1L9T4obp/cUA42kImqBGk0kC/wBCi/4QgJEH2zmAXQ0d3azunh2Z59HH+5bMC2Rj/kgyErgPI1Ark5uhs5Pjrw7gfHZCL+tXFAiFtBSkXyPMgffU3CuFr9rC4IJf5uwPC1w4yV0EmoH8egXA2tbWysnX9pwPC2REMaRxDh0cMQtjQzs7B1u0fsQ9X62D7kOPvDFg4Hx3/ZMD1PwbWzsaPJQKZcH8R+A1nZX7M/xEE/p36IwYhCukNW1crkOnju1hZ/0T/N7H+htn+hCE//42x/4mZQDbKI8rxJ2pk+0tBs3L+idrYOkCmHKQ7Hl1cf7ocbZ3/6eL++8P+/hXZmP96tZHVb+mzAR8dvzNgY3n0/EKCjfUR/o0HG9uj4zcqbOy/UnEF/ZIvG8evVH53/Xm9kDOQwfYrFa4HB9j6scjZIKzBNpDtDXZ67E/IrGMCQfoWMn4eMQhZSBqgx6pjh5CELFHDP4bu3yDrIwi2cXnEIQxtQGZ/iDxHK0PHR4qQMclkbWjn6GT7CEGoOduAH5beL8mzP/SpGxgy62ycwL/iDxVra/awyWx+mRrsEGYgSK+7/1rdkC3NpGTqYGjs5PxIhANCTfJfIISdlaHTw1Z1sn28Qg7WP4YzZOhAdrTzr03I8XCHkNH4y2CFMBN6tCCkhB8tCBmRRwtCQfTRgmQu9jiJISmLP1qQXCUeLUiSrx8tSG6SjxYkH6lHC5KL9KMFyUXm0YLkIvtoQXKRe7Qgucg/LgBILgqPFiQXxUcLkovSowXJRfnRguSi8mhBclF9tCC5qD1akFzUHy1ILhqPFiQXzce1A8lF69EC/lEyto89xc3yUNlOD9PN2Ok3B+ufoX/spUeY7e8yelDQf8Psf8O2j5fNDUkaUi02jk4Q6f3bUODm/MXz+1TghrAxtbK1dfj9APef6O/BD2KEyRgEhqgQs9/igczAvx3/PAKhbASpY9A/DrD+Cf8z/KFibcweXJYgp3+cYf/V98+DEPZGv5Q+kJnzDwAyvX7BuH6ZzS6/4Ny/z7pfXA+SwQjywt8HBPBBLrg+bB9zyFAzcTb+JZMHweBgaPKHin0EH/SC7b9jH0YQ5Dchw18g9v/ViJnDb+c5/iwQR/tfQM7fy+k3H4Tq/zaso/3vuwP4oBX+2rH/cj6ohX9WJ/BBLJgYmpn9MmmBDzrhf9hvn/hBJNgZOhhC0v9l7AAfJIKxlbPRL8ij9PsFhNCErMBf9dSDLnC0M/xNkXH91+YGPgxSSOSvculhjP5DAj4M0f9DygIfJum/leEfU/S/5CyQg/1fghb4MFP/S9ICH8brv0Ut8GHO/lvWAjm4/1PYAjmZ/w9py8n6f2vbh7n73+L2YQb/h7p9GMb/LW8fBvN/6duHEf0vjPv/ReE+zO3/lrjA/0vjPozz/0PkAh+G+79VLvBhyv+nzAU+TPz/1rnAh/H/n0IX+LAK/ql0gQ8b4b+kLvBhOfyn1gVyM/+fYhf4sDb+pXaBD6vjv+Qu8GF1/EvvAh82xz8FL5Cb/T/75mFxPHbYb79JGjs7OEC65I/f/SHy4i/7j//cAYHcQMYos1O2xryBFh8CWy6rhIhdGb4NISyvtoXFanaHsjtRTed6mssgpkuM2QsbmFQQfElRmCkNHp3yIqY9uBx20+nI9FtKfp3jBCXWvS58xJDXf3XaYQYiNbElMhvhTAlbxz6MUyTBNNCG036ZoD71M4izk3WrcrPwts1xS4v7O8AaUHyO9TyZ2ClKKLvtO0yE5nOKVacBTR2saBwH7VRnFUnVkVuYCHD0hXBLJOGV+7p2dNrA4mJfZk93CutJvnTXe46KYFxCPA+p59lf4r/Onr+IUCz1olGxg/rZV+TXpsLneHw3wYfUzZGA6wvbTkry3JJA0X01yIYWvszKtKzZvGFDMPZ5XFlWtIx+85zqcbNlj/tuE0JbStJ8PIqxyHCCNNy07slKF2rM2IbzHbrpRBnIn8Ckd9GiPyEdDlluN4CxgnXeA/sgSlO/6pvI12104GTgRzf3mt7atzo97OFCbAx2FagpHULkwmTbJaPAG3TYWFRupjmUpp+UO+JjlGRPMLqTttVHPTYo5l1qgRwGwaeuH3IPbrmR16/ZvxEE/wSGhXUcAup/pGGScHc+f3lU6NknTsZze+mdMSdtRfLs1hn3eL1rPKHtwqQsAJnjqdwCvUuKt4s+sqLpHUkGXOpAbYW5EdkCNeFwMDtW1Zsuj2H7YiHRyGE2ZRhajK8d77fm6fYMEKrJ5NJegQKVWwlhwAv6yMRfFVRTeeSDM7xOw+/Trkawk9/XtKOaIH5zpB7pqpD9xtxXgJKKf/qegqs+gyLNuhBLSp5+uJMtApf6e6BIFHoPr4sPZ38cP+3G4hS4dU/YByw0MPxFycGzgY2EBxckED88NpdTWp0jtcOL4KpQ3kBmj6hBBPUkN6rhybpWdGzd6Mlyc4slryifGcAqx0ThmIIGwyOerpa/jFffD3r3atLOJi775scJ5nrgW+wSci/GH7mpipdKWggwuY0JH1J24FbbL40kcSdZ+tIJamFXEZCmU2CNjfrSQvDpgN5L5Of7JcGtErChpvtDdTMB9ixPlM6laACCL2y/8e6GJIiU07PvUUdez6z3oLJ3+DQH3eL1C27TQQN1ZzbD1tODnBjiWWHnCotO8a8cM8eTHCsbmeBebqeKZHBlh5WkLU6Ods3aIwe5Mi1eIeUGHe/npxzjGDXACpyE9hnvws/wv7+KK4fH4QJjjg2SGNXv+AVpjSxhX6C0TlKpJNmNXqTGjwFGU9DIMS/dp6fwZoBQV1TrVNcaZfice5Vx0p6ft0Ot/HsOPg+Hems1sV/YKbENZD+HC/yylE1bpOniiiT5MSlOnlw+Uqj1Q93BR/nyQvwXvnP5jItw2XxeUmW9OlUeBXaCxdHvXUrTyjCHftyujSKkwHWyIgRJ3QgIu8fui74R9sYHvTZQV//29DvIntMgghAxox71PeMTszfdr82uI9lV998s9GTS55k12f8kD3JcXlPwlmViriVBIT8IeInlvWNZ9hK9HQxeu7+EKRjWvBMiJsTgl/yExybUmK1UDpMPXBYGS/e4wFl7spShsOSpsQ9XWXv5tq2twaWWi2FA32ZukbwNgM4i+Rxl9GFWtfZnOvzO7S65iu7nnkv/ly5XbLSa6kjOoztQe1smZydctxRtDqBA4sMb0hPUwV1TagOtu9UXhwJKNiwxz6eJXKt4GoWm/Kg9IiM4sGFN8Py2bHzYtS01TloztcF4O8aqrZp8h36BRK3Llqkk2AYefhmCUOd+p5RNmD/YCaW7J8/vZkoUoD9jJXDZLSUWMrVhiK2C8EeXnL7myA8In3K+hsMIlmpAbDWibsKfXAF4cN6k2XE4P6/RqiS5a3Aha0rYbbFHMNKXyzJCBy8T+yKCX5V9RcEr7Y5bebKJyX5dzYKKFRB2gMO1PgVCu8yv7rnjLQ4eEVz0VCetzAPfhwjr5mKLfHDIumob0m+Ci027b2HYnP8eTCrg4gzrpSI7hMplqni5PNpN5rrpedi4imZ30ZC5pybsK4xW1XkXgGpA0zB+QQt4R4LQjolUeKdagYwPNteRUEzlwnVeIMsVVfWRjijongovSf1Jop+Yzdxj/HxJimG43OvKbYk8B+f0iFHL0+Pgo/vmyvTWl+5iGcwAd3aHXtP5dSXQyt60qrJgF7zFi8uu8jTi5xWkgs7WJJrajeXoemfY60WhYVKw0D9r1Im7SmQ+Pb2RZqpmpe5z0RAJQR0QTb7yJp17YjQwS5E6QNz2rZ/0aRdJnoDKzvjYKfvrGbned6m3gYi27LOKsPJyPghxr6ouxVCz+RqTXXvbcxIk330lIlXQEX5GyW1866K3RvY1JojYysDBPIvHl5XtgnVvh2VGLtQaKSlJE0MjtrBns+1OQqlt74I5RShE4AmWkPC3QSlx1QpOkCCahfjKKdIcezQsaxWtENA/BfHynZ5dW1p2pq1Y2m5WFTwSFcvqjP5FMMrdx4IWdkaspXTkNOXwqYy24yg+Ri6crvvWova0oR4ys+Ig0sCB+09hRCmJ++FXAx/s1nsjk56pANop7wqk0TVrmUNeTGGZZj+HAhRp3lpZfaI/UJ6MFn9hlf+VSIqP248un5WCSwuVDkG95T5b+fL1p/rzZvx19592fhM8XPeCPZ9p2ArUvnuwY6cuGEvwjUt/0aWLI1bGRZUzhhIUS2/c5dz00G57p/ny59n0uQDHBQGW83SL7UHWlzzqdS01L2/tEj0tWUAxjYW5e7600X59qpJ7cEzu2mBqaun7vQY1CnVT0obPIRsCDe08qs+zhaR+HpssX/Oz8A7DpAe305Haj5pgbyy+kL/p9KWi0nIHPVMr+oHlGflayTsy9PXqmZeRjBcU3waRjvLaTIUvHSWJ6arA23IU4HBEhxQtgtJOKqg0s6CacVyRC5AzEdmJrneSIjBdNe6jg3o471x4lMVrOOigT/MCoJ6hcK0Lf25rupJh3NpBJeZlClSJfuNsThaNSji5TMlI1yS2EVIugEy6iTjwMlLTdORqQO7VDO5wAGlOBfDpTHmzhWc8WsHCFRtvoXOoTWJTbG5zd0uak5m6aP9Ths5+nJnVjA+nrQXHXi5BjK8OUYcybmpa3OMZlAg7hkbyD/ylpQ4jNo/07y5byxR/FDF18Eg9CfaC7jQSDHnG+eFeSVk0HeZu1rcONEVvhY7aIVmgBi3dpJDycpjknPbsJIj9xxdss8EgJKQU8Nc3ivbv3S9ePg+mRbVq0VxwN9TVuwtruOsmO7wjaQSPfi2gGUv2sdOyF+E42tINROXMY4yHrcOSPKJQwjDlfC9dLjuiUGPO4HlBBpLuNiV8oWojNuhzOEBoyQ6uBs/LQdflKR0rpxPWdNb7ums3w/lbzr0KsteAyXnHiLqUuKezJLa+cN7uP39qzTfuiatli8ixTsm0sEbwXbfRlZ/h/S1JhbIZac0Mz0tdaOIfk9D5DIIeK/HqQ89pPA194ERu5vJTxt+YvhOxbogQwnDPhSHnQfcuJhwsnZPAY9FS/ILall0/XKDUTITCdMmB9SHPh/A1RnzQqjraz8Y9HxIwkYMhCav1tx4jCxIShlPjvGm/+U0c9uNRX53Otz12UPqBt+J+ZpcmqDjxmacSyhGJ3znnuGNlJYxn+Z091mp7nWejyZtS+dnTaGlo4VJAonvi9MVq3/Y4D6I3LI+7qmr7cZbhK5+wD4IEoaosh/p1My31OS5vwzFqiGA6G42XPsXst6hPXvFRwbGQFRvYjcrvG4iSIqdlxBbd2CtLaPCwA0X8VAWBLRubWzzjP5sN99FloDWMsTNJEvVSiU5PI/2+87Cj2BXzVxkSJuvETn8vBrPnfFl+6yX7EXB5OpvpmLvsgzX+GQtsbZb5qTKAlD/t7ryd6xzcHU1af475I+THntpTmkPhFLYvoRZXeO/4Ldvln08LEMjkMfjA8jI/IyB5gkWUavlRkWWubcW/GF8J7UqvHyExLZcJkc+7TcjBUvEnfClbmLKktsxSFEpMJNxXj7aaJigXHt+T9TpfSYnN2HkeT96ez+FmPyb0dUAxe/fU7qh2CUFjsjA/edFy0qvknka8czsK8M6YgOkovw7Ei5l5QgGNNKRIqnATbXICpXGgsrEvRkA02+zqfcAK+zmN9HJPrb7Tbdj4vPM+njmc8uP7ebGgt0jlArAzeVqA+/W0pQ2afs3LmuVlP5FXQsPvQkTd87vJcirLJhs+sDB/TCK/oTRPfqsV+bpdvQR9S+xCuZaAp8w2sPZdOTIm6yA9kMCaJByGoESOMGTGMpMDpolGZiznYFgoROnVD+xbRLX46nbfovwXfk1lciXQ0+p8SPxMNksFEzm79/SfUlNgt7moN3vXKVTDbxzXuWJQMSxS9ve1kpQXWeebm07wpdRo1xoL67dG+WPvM7xBMMAvVwev5+ehKtdW7j5FmbkdZ7Y0uligDGYMU2m6El+nDHu+xS4o7vtyEJbK/Y1yjnHo3Go2Z3gWpgyLIX4o/WWicpPTYSTaKT12IU6uzjU9gRvrZdCp5sIu2wHFDuYbLA/y2QOqzCfFEnG2al2UIhX6frNogY3Metp3x6c1asPftd+plEEtZNrC1r4f8SgcJzThdKYsNrxpEBlPM5F4/8ml7zpE+kuNUxW9cngPFZRc3+oOLLrB59yUofcdIo5MDSJYSCPU5XtiNGfmKYCJQw0El4Eg/bvFHksvkiPvxuydSPT66yJVoiVZM2nFjfVraYqCecXklWdWecu6pumvMLu9O364dDbhTS5Ri+O9Z3FZz3uS+SlKUNjCYLt7UdgWF/EFQ1l4ScSBaqcPFTQQcKNi/4V1QL5euLorGDp6fUJYphD7LHMSPPSujuhjs57p6ir/5GUbRhxdxytP8lU0OHrWOUKQkcm0BK8cGl/5qnxOohg6Nm5f9B7ByIEJinW64Fzm8NSeHmMOMbt3MXtXfnc+l9NGcqP5LYzBOCa+b0h4LGqssQcOZw9fAKuWwESxCcszuIiTlwKZUutPSckQNnf1BZ6M7Iv0vFiZXhPbvwk2Tl0+2UsTd3LxfMM3ozzAbsGB2PspJtM87HuacPkG+DCUI0T4RkfoqyHlGBzjrpA0m1QvwV1lDRIzkxpiu7lSAdqF2xjHXuwAVoKMUc5kaiy+kcn8VUdlDY8B9cdD5CrLLwQMRdGDZXKMZM24wZGpw/U45Dug6E9QPD1OCRoeT2xutvj7IocmdTKxhn4qXZR8cJoCztdN0ZwR9bkgCiXxWMb27GyM9abAdGfvLYBmEgPwp9yQRlr9knjGqTkLGZs3YlynakLWHIL0VN6NM7C6rqZQ1DRzotj3sHYVEsGT/3yefauM9f1V3c+Eo6vNT9VP8Nc+QkNbbS+KfnqribH0NkaJ5n4+YAMaVsbfFjZKoyNbxU5KjpGjwTGm5xL9bIZWKSjoleSVeYIxNyVHVxNlO6pb0NYCt+JO3RgFXv9OvkmSzOD1ZcsW2v3EBRUVf1uz3SStRs1UK0yOqpYxurmXjz1sX+NJDX8hPsvUzZvStMFcAi3cvlbffBfaj3GZ/DntzmpNkfaStYPaGvPbwinr22M1YnGzP9+BMjFXn5xKNfl6z4pivY9RpiDgYry8SMV4klrqYRhv6Zszbf/BXQe8WX2sf3QwTnPjLlBwfaSBAVmGVasteNC7ClRh7rEjyFfOMObv/RjD5lRJO6TF3DiGuL6127sXHKC08gT1JLx7S1O0EX8rT3z8klJFvsXvOh9KInCewz4QqGPetnNTPRUT1/81lriCd07+vhO2k+WlhaTe8YdGJo47Dnsz1qOdhOpERCcZBEeK1rFJE0LX6jyC+UZRLJGUK+MBRuiGJzqN0vXCP4E6MDEbCuTsF4ali20XFavl297A94HhSkGtAdT7/OG0BkGxc9jJ4W/bZ6BhaUpXHco6e78iEOPtV2AL37XyLWCMQZGPIDTjWQpoFOelLOZ9oWT9wHF94q8XdWfXkI7MNZ1s0jFmKYpzi9VrRvPlBTdjmEsyStvXXD79xd7uzp4XxHnXSDCoobfpucMR+mPWGsXurOm0m46I4o1CvDbwHPiqN8dknwpTZDrec+Caw877+5f8EE542ej89fYFNXtvuT9cZmtxBT7w/KvFWD7USxedcyYf6R0lPFBJ1475/EjSSQ9jjX/m5vK22AFgezdswEq8Ce9bKWBmLVwQqRPrQsKIdp1MP5ajF7OI7v4oXLqcTy//0CZY7TJW4wySyXvmnTwTs0njD24vzNfUQs3PXUEoTmdPqDOb2peGLqlfK5i+Q2zHNuLbMeFb4g5EJXLMYN3n74Xv4LshxHNItdP8Bm0HM+b2NELJ95qRqmfyWbFxTeCPkbNiciZ989UgctJd8jQ4YDYBZtxcajEv16oNbhTDl5HDotNv72y3TApKT78bPcc3pb2lyqNIeFW9IlWuHM/zY3YxhZLjc6zUUxg4eLHSCkm4GbOOr+Wx3o78C4R7yKxxvBg7NkFuSm/GRwFSlKlU7IO5RBlYRIECVpw8n/vWs7mbcSstMPLs6tJCXgf6jYciTNDswPiSZa7p7X83wBnMbkLk8Mf07xEcivQOYsi+37wAT9+uLhqFGt4bRbQ3RR+/pLrkezNsM+Om2/INZhHevsQ6tOG6Y22eYj6FW5IzbxcfFsvtAPErqqp0Zhi9eT3FeCyM6XYQTAgF74Y89qVN0gLUdqaOxA/H9pLjIbQhKskAtt5xD54zMa+38KIWTmxiKVGRfJQ3+ewoIdHkS6CJ7Gx9v8TABeKgfbrlK/LnVlhkM2fYHaI80y0/djAXLcdS0/psavb6qFnunIuya67BtlTJhQprClISQPK3Y5Jq5Ydacz9qmtXviziE8d5hZFPojIiQ3IR7KMK1pkx+w5IpzVV3+vqzdA9Oo9UhzF3+OOcrBgM8kjFHLCXejxE/IWYvWB9dRuZ6hmfhWi7+LYlEKmIzeW/U7FSlJiopvicpyXw/0czShapcWqtTfhOcLv4JmSW5903wvppG1yLPx04NBSMp5XN1HsXeihyR7wGA5QKyNxort9c554Lz2qo3OnLQUpEKK0bHfOqvApWAV5FLTnitoigTw9lQN9wtCV2jfT/uepR+UldkX+INJcsedvtxUVcVhFettNm8moLRbCzCTPoC891cdwkuynEeziBVr9q6RHKJf9VI0X+/W+kY7pvEGKORAkmWXHl7EnBTzNOj+vV9U2+8I8FlW9rut3fZFttYfmscBF4MXFLxkrKbrWQL3SWJuAY5wToGZt8NGnlJ0SXHBj6FnihxuoYoC3JWlkgF0p8QqeKdvk2HOijgTJhiFtxjxAG2C1I1Lm/6YKCKY/D2bGLalz+DP0k6x/ePV21umoqy9tE6wJmbYS9OKDasSCNvBvX6fURSExwvAnoBGcZ7nmQ+mZkrKIrvP6stN4l4iiHNO7a+KKHqqI6pt4pVqT3wSjIJF4EMwNBg86UOaPv8SChJOvveWcooepDOHNFrCpHeGO1j4vMmPnSSfJn2jCjh7b06xqbcVetVAUxGcqX4XAT+8djZt5tBT6HZdoBXFKMKXdXrTwb7bGk7s2C+zkZ9D1juVcamXilXrbsYNSyUXXkiwbWEoGYqiiE+K/P53fPPTBwML2h1vsvvXLeH0TblxvDwNFi8GHFcF2ma0wlj1/J/ZlZM1X5tGyKMH5FkpMKBeG0Sk9Oegs/2MVvChmMHx4nwxAm8yFucN0Pl+0RbHHZ00XzwRlebKHbYy9IN9dMdjgPPiNe+uOTC1BRJN1NjArOuTPWsWu1bbj7aoQthiSOwTorb5CrcIM3Wdut3XPjFcnJ8jVahpdQ3Uny0MWtYQ75WtUziSUSKJ2JUZxsCq+E+xCJUStDHeCcaX7LORaIQZMZUyO4QGyW6bUy7oZ3Db/t7RAe1ryKt0aUW5YXFFmbaWiaTT40vxbNay35guyUTHkmvk+1oHidLTvvGCJdVqm0OJ/Sf1owOeRGZrfwM2quofR2cxcZKfJ2ZjiTYcDe6QIciiEinJJoBXU5fpg7qLAXXE5eJHAUu3ZNGXxPK27RFPpPQD03qWZzNHIiRLfK+hSmANUE0I+MrIdwmzB8z8zPbxR/WG1C4Iy3QLHI2E5/fNOy/PDOLcGHa9mToD99W3hrJpM0rkOdTg3ndHYKgPCXmqOGapiQWcKSxNbmQ5bvVApt7bWpHq7UxmN2pNyHCK+KJeCPLCW3Oh1blHbuWEeGBWX7BgKS0t/0j4rZLp4SO40sN2xjpmEtgAEmtANukfNBxOh1LL7VTmXX6p5Bwm1u1ZrmjVXQmKD+aEFpYVknC5Z0rMAOtc6NdIT9hGDrWKl9xlgDxKOYCStgB834YStTLKFz68EtUPEAw+W4fu6Tjt5LO9y/l7qu5UyzR4q65EmNekflwq4z729IRdrmnBHZwL1Rn0pOO6Rgt+fa5HC3esrrlGl7S8FTFu6acifFdD1kjtHdne8XzLu8Ke3iFiIkskwrDxicf7apl9A1YOuYr2shK6r5OfEpjJBwRp2X94wBRY3RM6ntKfGnl+OvsYnY8JK++6kCZBr3FT2xcJZ/GGEFolgDhqRcgW/skzMY9Zaj8JBGi+YCOlAHYs2NUKuede6dv4mmkLHQou1yXgggmathEzLK16UjvVvbQOmDIVCQY+wULdVrfz0/0Y6TkFSvlf4tmCYvttZGjrlYXgZVpdmeOcuJAFPM9iZzS5bOP/JaoeIB/+ZMbxEuQBu3KDh4wbZgWQ41CWEpKeUEYTqdQholalBDubxN1HXrseKj93Rl+3O3a2o2vz335w24mBr5cPgni5+nmAvVb59UQGz5ss4hM5XGrl2ZPunw7eKSqUtlDPkeVBp65GVCo4AeQfLjEXNcdLFcN801eRIE9EHGr2DFR30L9USoqELDylOV2irs8mQ7qznmrR0jTRiyGEMc+jz4ae9Uw8q7IsWLHUxvoC79mfEyogSPfDt93/vLNWZ0ivKqIx253o09kuS3bVlHsu9Va9V3mZHh+PZwLFtAZ15s+ZWyHIR+2uJmyWgpeAPdtiT/1/RuuQOo5WriQt15relZCutIi/OB1T/5loLfXZAxx5rzJnNNqMOpBY8J1nKWwXTLvAYOxfupL02al528oHSXFi/oPmq+88anGKVuF32ikNYBG8oLrlAtG68gAatFvME5MLrRLEoa/FAosIJ+hBiETppC/CD1+bTGi1+7ys38N9qMZ3ip6SAtsOp6Q7qdpLHr1UDwGqoYgeVdP1rSDUSZA8RlL2Fxz5Eu3yqzagMCnz/knCPPRpl190n/gmH9vw/4C2387snTHN3NAGg4nO8jGx4Vkx9JyOLXVhe2D2iT7jedScQAGodZa5y21pWOAwY8Y5IODzivOiBsurKNOZNezjm0vKR3mTIdP05tJi/Kh1OhjL7P2WGKe5U8sACX2jNfxkYPl23fG43mYoycVD2sBcvg6JILIF2YrClXYK0j1LVmFb1JP9y7qTPyD7VYaP4hWXY83+bzuZGOGOdKgoHjlzaH6jLbqbPLwLrUxJ69qHZ7ILTEw99Vsx4xmjXiQL9j3s9NP6pun3eDVW3pUaTkbOc6wcfF4yonhgnf9/Y7odZZ5unh2q6PtmL3MySDH2EuiYfx8+EvL2+OA/H3/Uf1BgTk9VYwzyWTCT4b4PDcp56nFVTMrw+z4ecwkzVUTH0YURIRBJGGe5F2pIDymiUMgtf6a1nMfU5C+xJL3SSFv18yu45wEy81VOcvLLVy9KX2i8qzz5cBi3JhSYz8kqn7AkbRA7VA+WmCdo+yiKX4AMCHsrbBDhN2VPNC/7t2gpKog/dqYWb0A/jgZA4sHxvwGZqC4QmvuKV4J2uLAbkYobmWve+hHwNIaPInH3Jv7gjX6bSK2lgDjIaptydGG9RjCvF2bjE+scU11H8qaeF0Ob5K1Syt7WMOSu4EK6qKemtHFsWdnqWVQiv3zea/wTfjhUquuz1PTYDrU3vAZMOOpDdPMWBAoUM62en+vsH3pwhCNFB+X+qMuz2K9aYBVsy0vePeJyZy6rXNEd3W2ubFxXODheNqdr7rd0YInWC5ujUS/wpouF0apX3YF9X2o7adJzLnuyQoe7xC6ERUEDPajJRO+lz8valzn1XhUTF4beoVBOwIrz5+PYUev3OeWJWvaHhR8jZld+/yuNzKF/JnxLJ7CVt1ZgK1KNTXK7DL9e2bUlmUraye6ZBf+9n3L+DupPqtDEg7+5rQZvg1o2SU/MAWmjyHdBSz6q0axupbT1+v4gtPJaSyFbpYlmm1qFE1f2KOfLupzDsbIgyMc4AI5Q3qipTmhY8/0g4XhS013/TffyyXeo+s6pcmjYfQBC7OKyjJhj+Lmb1/al6vpc9LMulv5u0fI1h4uwYqUvNPfe0qaeAEoLdRO0vhE8wzQ68S8qofp8Xn4mGeLbGMY/+BnsRaipcTbAIuQRjrjbzvQPWXJa1BVYbI/zF/z8RF0jNrz2YQ4nH1/jUmiPBvL0+q5mS1TH4Xnj+y34/3sY/H9zlPVLEw1pkYYPq1wSrMe/94MhbUJrS702VzrqprJH3YN/JpZcjOR27UowzBPn3iik76JGvCzpT8vUSwznLkRqBm3s0rlSV49y2ahUPHtx0sW4Qyfsq8/st+vrg8DRAtL8fF1emK7c9zeAeJUBGNomRTFnntYKp58vYAuJfiypAOg3DOlDEEqoNMmHflY5pmDIWcV4z9KJ2uuyqwPb6Igvvud8FRKw0xy6dzZvF5Xp5inBR8XyATl2GJEzomMaJ3wWuDEhQvX7Iefint/zmeGzmz7Jiv7SL8qlvvCLyt0RuUGFRVfKpSDvHCwcPxo1+kkaVt3BW1eAj6R3GAzo9bDHX1PbUg+Vbz8drmQBuBPWTZQOjRhb0GT0jVp8TkNk7N479EBrkak1ItnLsc+Pgzmdp8vGiEfWs3KYgT2EuDNvKNX2jlgojbJ7jZ9y49SnBPg+epjMarzdkziqEdtxGjMyfNcD+GKmCd2DiTasld6WHxPNAfUofX2rsXUhZUWiW2nml4VtqFNWb7Qzn7+KYnUKgHFOkh8O5tXw8pELCrhAD68iq3Wgxw4QMX2Y8tqiGHENpd3A/vUoEKbZZjervIch9R+3ShkIzOxy+Zj2And7SciK8yk17d8ImNzyXXFfMnVZz7JZoknr0tRnAtZ8UgEjcssdKyAP+b28Zg23dE1h5ppkwsxo7bAdaiRFG6v+hwOGSjVU5XU5I5IPpvYN4z2d3EaWFO+IjddHbQVHJOEakp/HTDwtMX20CopqY3XRNz/s6WrgmlrFnrAvl1irQcGJidQwV4autH8DX/efqVqJpyOOAHo7GdGXD6a73nD7BMC19dPM0flUzYRWvNRBkxTGoPrJohmsin40jSUMuolc5CQPTBZz6OMyHleR89G802BJGLGEuVoSy1Ilje/+7cOP3Xkw2XVy+L0PS/ncg0RNZV6Gju9WmJOtL7T4XUM4+9rkcgEsjw11TT/+EYOowj7rVoXgVrzJYYCKRvuK+QcBuI3WrG6S2n1n+kQr7u8pauZzcXCfZztM3AruRkl94MOVge/gtfhjqKjmuEDTpYAIs2l1+GqUtAJ0B8F2wSbf3hsTTwFBL3CJ8Ox6YvaKU+8i/iece8TaAvlaecqZkXAwGksuJtWuWZvmj3geipKzDOHfvDZ7llilKbtYYAlLHk8Ud7mFFXqV490/zba4unOVL9nafHwgRWNzTAfNvNCgzXl20pikzTn5LX8699xnBiieOfMl878bJZCbaOO9FfQxkgg/Wz8oRM+qtuKnnxMvxnKrdsn7dkQYZwb9XFGdQxKYncb4ppQ71Mf/VT6HE2a+miWA6eoItGfKnqvBoNKOSd7S56+/az6NOILNrkX6CpzT3dViaK0OirQZck1BEfLoJJPZEU8bnfV1olHPhZ/S+LU48mOcCazxDh+ZmTmi9WaU5yTgv71RVcR38EoRzO8AlWH6cnpuuRdZmEbCX01isZqk9MVhOGC0um1ba77fi5jEZ0kAh+pn6iAmetwy/AlAagKS8UvYzE67+E4Q/ZtXnqwlU6zDjeWNPOkv+V9KZdwk/hzxVOU+fMeldAmP3SrNXWI3mbH6CnOUBjNZ5nuKUMMPxdDkdm65ynYBBNl92lLelGompxmn+rZBzlMleiXEy+6BHXqRrmV4Auc5JZ++jUzp6h3f726j1IdylNtmj9gUhiiUd1kqKpHk4DT/p7lVbT0tlGywpLOWVOmzRPtGeYzFacv+9stCQH+XtYX1zh5RonLfV4IS9QubqFjpEGXZ8eS+NZlGNDOzUU0Pokj6UMozhqc8U/0+FQpEXXJYc64SihbgJ1UAyQENy8YmZ2zRV2Fo5thGmjvmh3MLQqTW+ffhpl6uoucbvqsJpJFh8pRKEmu4Yyxf/FqRG2uxaoI7s2YndV08XaGJ8dDok0oe+12QccgyWi77t8P854ouOdV4SHXh/p1rohsHihK6tdWby/HebfbvoRTZggrH6dVEG7BHh7b9CTVZjW4DFX0j/C9IlpkEq6wJqmIeF7vzdTM/vHV4I5N8jDfS8/gL2kguxU+nVBWbWW7DJCeRWK710oho7hoRAmZfKdh6uYz9zbn/dqZmuTBlQT6OhatmKWikKPx4Q6lV9Ide29Esza20RF4pGS7YSKLRwkkRz1DJ6CgOEQvkth8kXHJZiJjiE3gqo7VWz242gy0+wm8v6ytqVni5W3W4nzqUldVuXMvnDW51KDy1siG00EVHU0cQ6rHdlYyb9AfcemHjqLGpiYJNLNcVFKkiGtzy4Znwg9dw0WafSZf7JCeFPYNOdMvhlzE1kLb5yT/Zevr7e+p6XxP4eOX3KVKahe3GcjuG+qkGO5Mmaa10qg73rPRHDZ9UFVf0mGIwqdSO4Imomx2clzdUyv4VkADzuyuxpci8Fq4sudqF/JXmyg6naQ42d5KvUjKyrdU16Sy6FOhrFpEx0Fbe76JZ50vWVEcMYG8e27JiPGcyol4hLzaZ8tyg5YnlTLIfL/V1x7WB09oo+deMicLh3ESfgx+VE7+oy0mmPDCbQsdNKxsnpMC2/1imHVst/1rz9xbz35jlkTbfN8Bu/3uhE2/0gAGgRu4HHzyryx2N7nDUVTlg/LISqnl298C6zq5o6IE72G1apAXkdPshHpwbvnjsu7DZoXtSSvEK0I/Xv4oWc4tMslW5VIlnjelsHCa4UnoJF/IoffHGg0xyc3GOZOJhppgqtodmSYeYntzpx/RehQMxu0TGXJQCEDPSMgyygg6w8XPHTS5vGKxnonx1CcOOjU12U1PmJXNF9AqZj0SiMCxRG1RaX1/d5586dUhDiTo2d4zJOwTQyz7pLz8IZlCrL3d7jOU9IeU0C8+voJ08jiZo+C+tzY0zAvPYwWd0cL6SwOQWxnRnfuZI0SHD2uQQIwXUkRt7bT3Y4RnrpixcDk0fcEwXH1pwiDPQjaZ/uaSBeUXYd7N0RPQeM858l76UCbXCWSO2rcKbV9d6a68T5lejjwRR2RYjnGvGpe5M/YZtMy6Ns2icUw6ALOXBUAHHiXFSbS/GfRS+e40jw56/27dwV6SNTmK+0mlwIH74MlwvWWTCycYUQduZzfC1XQPdImGs4TlR255k3flKIN0hxo463Y6KSs7TMFUrE3BK/yxlHO/4dSW9MqxOp95oSmKLk6mgh9pQK0E7AVno83eunQ0BgVAwn67g1rJFHK9Vo3Q+h3VRLlKDJ8jz5ZWSpAtxIR63lFZaF8ziAG8Q09M9tUublfCJrTY9KhZPt/uY7vW0CnJeBTGTZ5vZETELuaXlZvzD4CINeh7HOdXw7ZsDcKqC7R5y7CmDTjYY1krVAzn+R+f3gYg9Llw5KIXSPPBOJx6czXt0eKd8pmGqdCq8gtTanZokE3zRhmPxMzvS78ayeSuDGhfpPbWJc8R5auYNYgvrC0h7xL6lHJX4HZnJE20r5UPDd0V2K3wxZGbH1lMNF15v4i6EDQiX8YLg4LBDn//RDIJYIWOQfUhfR9HJIEB5YjC0dRnxlItRM8vPHJ5yywQ1DJy4EZgpONxFdIqgjHXdSrtNt02PHfUJl2YK8RAqKFA+WVAPikANBS1PV+FlLAWMlqNXujZMBTttncKFuwDIWfwsfWtGH/NerEUN5VFedTEthuUAWxQqLw+zqJK4sNCVvyqiSu0EfEdqykK+7Ns3ehuXxu+ZQtqSMSbRD3wlyKqhhUbkytWlByrxs/ZyGv5FlL057mV4ILXRmKD9+EFP3oZ7bFhvV8FYz+N49scvOxuVvnUSSHQp2wmadkr5hW0/WxSrXjNF8ZXb/X+WRPpW3aokTMiZQ9sLfWv7tfUN4F6UiNwJVg1eeyRUOzS7ZWS2BOJaLouWNKf2qd8EWtXt4ZZPgSkKFwUndbfscV8OiVnroHSfaqNq4lANj3V3YJwfOHhmO0hHVfYY0MaLJlGw1Rl15JIFEHdBM+gJbkRfygboWU4TN780ak6YJ91tT1iwxqjFY44SX+Jl/QKDnMv8Fn4oPT6vMDpu30up+dyBmtdTZ+N2n2nFkMHPj2532u44LXPlHpTBc/lTmycfD9cP1nv3ZEE3y2izQnIUX8Cy+vhPFg4HhGNisUBoJxdJV4IwPbHaHLwvZ5v1Qt7Z8tA5h9dkuNr3acxIPyd/VvWqEtKkziLY09uHY2ul0Z5Fq1mg12LhfXEDPnta8p6IGJn1dQIYqwzpdAII9b1O5bBqss71Gbml3flEQigJ1QIGXB7vLcqarxvT6nItpKZCqS4+8R6GNOmMI5uHTLdX18wGxHWcNdFt3+9p88MdegIaH3Gr86wofxhBvElCZa9Nn5rNlOvhkDAyiunYtmTNhaiDcYdsU8+Th+fMsWFx2CPz5IXDoyXRvzgwdfhp0Kypkh7p+aJmvjGyXXrhIJPoi/soCC2ZsGz5XafLdH20+fRwC9sH1npEJIEsuYW45w0mSzfdfmc+QArBlmyKphVOeUm4D7P4IwvHZbtGFH5Svq+g14JQUujQhImSdPtV2mT0ShbRjEoWwh/WaQHH1KrLfNZZ6nlXNRWnBZvVazcQUZOx/xQK7hbHk9PpPyL2O2gCqp9+B49qwO8+D4tA1IyGbQaA/wKHohBtf/as2FcimyvzIPe9nrMGOh2/uEzqRT0Rh6qZ2rSRTsYgcGFjhRachWKZO/o3b1sslHLKzLa1epGg7cyFWyCYhNN3itQSy+q2P31TQuIyt4PbOZe+S1wC6gdkNANGizIn8SILlzX9+tq3Qraf9I+zv4Zbs3OGsMmwlcIcylBeAo14vhMWnV+64JdDoohaGEWZ6KsiQ7mfAbp1Ye+K3q6eGxsNXs+9Wx3K6FuJGVjsfIyvZ8FWaZyeGzN1uhom0WBK0Bz31UbK0MlcaxXowuVYR4ByTdWaK3kargrqI1DdEzZabxE0O/8MjJtzdKpJ1gDNdaIj9G8hDjWougQMMHSGbB9HM6FxU/3lN2hlZCIPKXxFRKfVWN7ToKLWPafSS5IXvPlTjUx77yqLSHC+4CPO3fJNPsqfWOSh2mTtJiuy5urUwGjoS5/o/Z1GpNwlHN8+OXenFU6p6UrfkeaJ3vXbAoJiWRbRrQ41XoSp+JRz3RgLcITtlB4/rmaCA7n4Qj4dmbWZylCJkjBNGuljW4IHIFBPJwnqPclM0BEcCGnUx3Jces9dzGg223UfRzHT1CMB3WrzOWCBMvKQsOEicjmFvbbd5wGOQL5Z5jDuFKhViZ66kbNrp9zeY/KPBO2XUyxU4SMTstj4ji3tvN8bEp0nMc2b3wZzrP3Ero3Ne53AbrXd6GU8+7WctHkjFA4DOolyEUrKnzQe6SUL/aZD1+LsHa+SMqISLXHTIrOpFWvFeYUdsJiySTSux9fXe2gfMVDyeWp81TJATaGECTAEmoSemzRReajbvxyE2HoFJ8KTw0nbqtJSL6VyFkDSTZzAumw4V6nm8us5mfyZlki4Z3sbHg6gkyP+wQ1TXdmMjIT7oV3djGLpMsLO2gfOeDq4lqOesXJflkcwiBe/Ft8fPxKDOFSbKu4gY/SbP1w+X4EscueSm2C7QTio8C+5cGbZba9rCF9uW/+2xqn6l1BPK/DkEODMgD0nW9HzLQva9pFxFMLC2SjajQ2aLleIDld+r5Y6nz/0WxEAm0DmXDnKM8nlgBhktPg2i+VT85cAk/wUxTx0Zthng++6z+LytFvM5qdTlOUEjKcp+hFiv3SBcWFwk4Kc3BqxpTAjUNkt+eRLu/8/J9dF5ufrHVOOqJhAkimsRiPTA/OAOwaCNUvhyzhq7pNBB2GzkSFGcqf+U8e13U87dWw9x6PJCSsSvu8wK+7Uy9CfJ2Y8zUDuoF84TuupsElbhSgC/iZOGPdZY7ywuDMwKE37QIvUodSVMf8qgh45LVbRA56S4MFPfOB+6PVlCKmfefJ4dQSD9PMU266VQFu6JGscbQ1WMWbTEFJOlHJbnzz3C6Z1nJ8/a+eZc2okv3sbXTDoJfvKutdlyf575Tb1Rdj5I3YZ/nmRpu/yeq5sSBkMeaMbJfrKOL8MDFFehrAch5XDs8m+KamYNz6FSH/S8NbWBnzjHGdXlatGQMMdzUoAbX988Prepa4DncLolCaKfqnywGiTW8NtJQjWTAjJkjZX6P37I4hB49u2k+a05O4TvcRM6by6tKounhoCh6QFWFr3ii6IBPfA5jVZxOOCfu81cB7Unn7xFivV8alRNKxcvlNNr8ow0NxsVB66QxGKRNao6q/8y9a9ug/uX1CfVP8jm0JW212ZWB6vHo1UYu3V3+WFNMFSQ++KnmVG9diGW6g/ojqsw2wW3QtwjusoOwbBUGw+tYZxqncGZ2nsYUYNEZW3kSedI4Z/xhroUVEc78So+4TvMAoRVNpt2JEbtTSCXZRk9OSUqIQK5Iw5ngsVfUB3LVCAyPU6K+ckTnFL58nf7vIn+KZdaRXn3BTScUpJy1jdNT/tPIBauqN+tMn+FV19FgHuDIIyQsz19ErcDWI/kKh4qnCawbTEhp+r58KYdAtkzesIeofh5BrsnN0JqjLkVXufUnVhlm/NZK/g/XdBHYZperuiMJi5uAKe4zreYbY6W0ZtnJbxhcttFurUTFIaiaGwRAc43fBSPm9SuRBQNqDHViZSK5Tv3jdIZ48zE2Ehz75jSKc+Fs4vgmizXgRBxGlcTPOq9fA5VKlqZkQWoxXiHh0vYnmtInFNnYiCCKfka3sz4vZ1poaK/dZ0tv9sOpjhyfQahyYK2Nx2ujri/fz12BovfLM7Ita6WyLNZslBumFfWQAWdB++iixnsgGQXUSSlx8PTdw6Xg+1v0zDM1hXXJ10EgTdwPeneTuL+I3X0OLCnjsv1glR/QoYqpMn0i/DRdgRSsJ36wKbQ72c0dh9xTfCjaga+MJrHLDY+1vJcpNTeRTcOJdZ2rpL9DfJvqQRJnKZ5VQwVjVY4HufIgZdFnqVfRNvuhwdo3LrsO7W2TbY7fawswz0IZMUyVexgCECSuEKuOzkiakbfD8W98pv9/1rnr9Ik+zWJt3y8nYq++iyTpsGxj1Pm+74dpiMZcmfUTTLZvoVf3JPhgq23HAIgHH+N+voAJxy/l7XZcH2T3L7m9BKoah4W/xxGnWcwJWwVziQR1gwpf3oelmtbxvAs3juIarrCwORWHqwLwr4uBEU529U3mtKbUB5Ijn6iruUjZqXnWxnUf4SR8SiMttHXtdW9oUdJ8Nh8BYrS8JPWFq+bwqgeloeKcQyIc5z+iA/GFwubt3FusTi0sFt774nI0yuQiWjPT9Hq/Rm7DmEroRu9DcCjUZeKqndstr1WvRkYaKmTc/EjwmpTlLqnld7fqZUzjk9YOSm3h/rEjgo12dB4+Gf2rolEZ94Yxu8SGcTOKwasWyciwxurIPa2302bWTYjNr/nXs9QGhCtKzgYSC1RDJkSIUJmflMmMoFFrCu/gKNHRJp3snPlYhAv2wp70Bhaaddj1hXJkpZtQZRFCjOFTl/KSxO8jOoSsdcjP7zRf4AEYd3co0IB0p12u3jfo0EqyFHUraiBhUJoalyivaEJoMuvGc0dfh6kO9b1YlYJPm0GW9t9fSsaZz3SR7Y6B4BGjCRvevvUpQMcNm4YoWhlpo6FZzvxXoMNlqz5Ue5npzbYZpLqHoQN9h6F+0XovXjurDYwwbOBu3KdVgyZa7wdeeOABH2ku4TeEHaa1FMjmQYZGsRrEZzcicNrZufQFoRV/695DedPbrlyil4G6wsLv40MDqos5tWclKt1cQfF+lXXCPNbVG2r0KEnN800Z1TLpaS6tUbXfq+TzMhhWQnlGYyxJUpGObes2bLEl9yefGXMp111uPKSZdLaLghDheTWc1hiw7W+aY4ofx4VnJhlcXnCpQlPrHd6jMOLX85LyXyZX9inX1b9fyQsdPu9v5V/EsyBKXo03JgijqCUX41t+lVvO1ceNqN4m0B9CI3sxjWSMkj2DLXn+V052uL+lmiAvEk3QllB6TOXELV/v+47Q/vgeVScozHPym/J3aZy5RtmO0VEySeW33pXHJoLUpNinido4hhfnWxmYopuS3IbCWEaXbBAnzuVq3Cl1QFq1aTv4W7UE9l4rmK6mD3cdvOLjwxX9y9rAzLfGFKzDjGTCuuc31ojzdTx761vyuiTaFnMleEDVC5lZGlIBV7PSpjmyg3fsUZF+rkHchIyOW1cPGpuf8aCaGht8Od9gGn+uu8jKmJ/gydXWUlU9p0KJ9uCmAu9FTUJSOYvqmvaqiCysP8EheNqz0KX+GMGZxlvCNWCKDtyT6ae/ddHp2V/QzydDWtwUu8afZlolyW+/HaS5fVkZrTE+JUWPnvlM43de3blftHfBWunOyJd+1PGL4ECC86ti8Z+LDdbiwIeaf9EMhs4nCw2XX31yvfDvQxhOxvMKBWR+hNATfN3U0nbOsXFY5NRJ864wLLccwlM7RAVNylv5CjYjlStY1tmTCeMok/Q06t9rLL7STcGLFMF/PO1ebcfdOuYpgg3LF5CqEa0SfzQdYWh0i4U/fJXIR2Ik1DQVmn7JFv9Xc8kLfUnReXUo5cbFioDwboGMSJc3ZvqxMupoZcLQoqvAIj5L5CGtPFbNBZMR7N1cl//39zfm14SIRf6eqq8xkZLzHZzIKlxzABB/aCu4kkRNbKrYrDpGrihdNeMvNUWVAsByKPjz9HnTDeBrh/Q1fHyFzLTkU6+sme5F7jfPYUFiwrl3eCyQi16YYd68+Pe6Z8jPC9yEsEownKc85K1kQ3OwlVVF/bnPzUhHTvncUcnKsNROXHwwMoGnhLxq4l3Az+sk+rn34LQha2ZEvtLmIYfRgam7bg7Q91VVI3QXkJLJILybNF95s78KEbgw2fqvaRvlFaar+eXv280Jv9H3KHSYlTvTduEE5AexIJIYDYxURDXr16SfECVJ1KTpZwXFf76iJDmY6kqts3byndc5zpc95XmWEFhjCVkcOLbR8wD2x26Cm5xXc+khUxF7fHUGeOb1EcckCYzEiG7Lfx1MuwgdbZsyLLFXPRPe2nUo7m3sU8YV/OwWdOoKhDFvnySIntZejovaQazOtlHAo94X5K9nIABYpP/VJS/97xZiuWdhL3WozmwZcpQ1bYkHQs8EfAt7xAES3/NNGIakrV/cm6NXFb4ml3RtaRLzam7juGHFUDrxJ67tUehZgtVjZekPMNC/XFSb77P2Mzyhbpl3et50aRCRWRrp3iXg23AsimgETTw4OONGTyExR0MLZKpj53mJMGWlMiFuYuLNrYARPk8+SD/G2PUFVDS9MQPt4UFs4VuQpj+TkmJ9R44JKXmmojVUXiDNsWWhMF1c/7dxu6l6JxMWEzNZsiS5zIK+d+q5nelL8mUW2vwe2AV9e0IZiP3wgJyss3ovnQdxVz7Z83YMbTc81XUg+RjYm0uUlpX905IJNvICNr6gPuYsPtTaK0HCE17mXx1JayEOpV8+TIIghFa72Ndd2YAXODLK/5MeWZ5FV7l/aCjwzoJpzsBxLCOWznDeYyCeMDuskeLq+hT1xO9ZROuVcQtyDrK+UE0y5/eSScaQPRFP0HswY3uLyUXA0i2LqIwhq3bbn/wlTL6zQYtWTf2TBcRwdJloskN1WrPbXzDPHYz2ze/1Df1w9eJc+YaJXw3n6EJWAdXnuJRSuFa9bNBtDiC8/4ZI2pZ6SZR7GSWHmLk/7eo+AC4s8Ul5xjH5+2S6gfAT/6f5coFnS+wW5WADvyEw6fGuBbYISJfup0+OayAUtnzeCghiiIaAx3avsYr8DYBGD5oyD6L5xOixZ6TBuj0IYCr+i74O/LecH/DW0b7am7XKLVpzAe9aAyiVmHi+f2JQovc5FjpZXj3JdIQtgrybdqvs4K8jjEWnVvFv+fUjpKVjuooI+PaXj7uemrWRPADkVuSJGX9+Fg4muaojPeSTcu5bv2F8SR4tMPTMLxsX8QSCR88VMnxpr4XlzwCX0g0LVZsliIOZtlcsER3wFR1mjxt6z+rWz9lCsxtwaV+0LmFnJJWxr9JAcaDgv2yWqzUfenfWTZiNsPEu+XVBGXbrxOfT0ni1uXLqfR9VYusBt+5gTG7/o/uaB1eSnNwIeSxdbHLlu0LWwEbzWOcl1b4wwr626UWKkjY9QkMRpqOHv+D5WE0l8jde9e1k840QMRgJ/BWGxh/dfnDsMgpkjMQNU5akD+phGwZmkBZYKwHMRiMhjtGC1H7wStAf1DUAmquvB0hR0oJFatCs2ivK69liQLTso4UPGsrHhtBS7OZ72o5tayy6vQ4zAs4+0TxyptBdJJrWFv14of4tCdYq+lHap5Ni5udNBgBSy0aKFDGLUcy0gJNQmL8xC6qraO5DKOeA2dKwZRDxbXElsSoMyT4ImkrgjviKfkBqwzCr5jEOw4TF51pMfGqKNjcKxz2xKCVlgKoTlqx0Fdd/fcONHqaY4nqdzbTU9DlJZp2hrUIh4g7PJrCMrDbo96lxrWdUweyBfGn1e2RfPs6Lp5mCAv+Wza6AS0Fxz9oZMHlnQXKB2FH2t94Tv9VOQtBL0ukSPk1IPLUG7w81SUU2MEr3MadTFAVs0YrIzAEaCg5kCn2J5qBCQNLLYpa/M8bDPIDeKQRhjFI3+nfe1umIZ/qAh2awQskL8VagpsFDuQMfIITwXX4gs9o+O36gMsaa+BTszmnCxzJIZHRXC0+FuzV8UWur9uDzOiElQinDD/aIolJBw6RA6iBaX/M8qr2miE7aAjydpRDOrzK9QKosLbwdfdFne7Kv7gn92DIJA2I71KfQoS0y6uU6GUb2UUWAF9yJowTuWKGfvi3k54bB3JDR4+DlR+ZW4xpdQjpc0fl7Jb/10WcF8nHxfvjulzxXsDdKHKmDDFzb5w5SDcbEKkD32Kp/DYJM3RvIICcLAkXMC/go5f2aC9RzutQn0oHBUbHQi329CG4AdBrPLb30I3uPlOiHaW0FmeBcHae2R4nw0QQvOvo//2UstayLoj9N33BC6Ijx/MFxtfNvNokylstiguD1jmezuR75EIalea6/rflOdpj3PMo5V9COe2v5/5yK8ayssT9iWIwI8juOtaC20VpaDMs/nFFxzkvYJsOa1208+VpLzuA4HBcxecSUH1rheM3KlSREzatwXsoNetORwerEC/Ct2Wi7w4OrzlrJ8BNxhQedpR1AJ9XhK+EmN/HDpP1/pbqQ2SzWF3yf+FlwlaJyM+Nis87tHBbRivv8lWaTkO3oRGOYRzGS7oE8qyHkDiA+P6Usq0nwduYnp82nac7/aOivW5rpe0DwTJQXiK33s+ncAUNainAnjKj9hC3HlxmqWQU/hgDD3nGUtVlGEcjdxw/fmdWAnxou48DYgI8IrkLGmt0LT1lKXiFrnIm96qmAwn6DgifMHMeMPTDZ11KLJqhXMP49Ur8Tvxr2rHP3T+mxixY4dRvD4SVF4pyZatrlu5+9Rz/GiTsUiMWYjn4kr63suWEi10HS+A+yIiTesNi2eDrxRudacM8G8PLsu2Xzv+wu2yki3hhH4B3UyNw9xp4PkFK3pwqjiEgvZhJ9ShyxlpOv/VE4to/J0d6E0V0lfQi3KvYxCuE4+LSjOm4rOUEVsDWfXu0cCpR0SOpKQ11MWEe3X0CL2kD1rP5V0w1Nsa6+1SwBwL53B69S+XC6LET+SCBw6fy75LgTwpT5nwaDfJ91lvYyA8gAmCqqdZ6eKZG8GmFDFbekr4vxP/OlvCkGS5+i/8XQT8eDAH7ku+XBHe0TwE7PArd2Fbvbn2d37KohpJ2DefOQ7pgUo7kzj5laDn3SBK9dY+JAfPg4meCgV8obwHojsuQ0rlbWhGDg21qmYsu9X6ZhhhakcM6CjXK59kluNqJF1NfG2As+KXWsYglAhskC6lmI2lqj25mjF0jPVN1kfWHerLMt+lUwFcBBwbuJpAdZLL7odrZzyoOescEqWo8T11suV942hHtn5jTa+SGk+rjDNG/4838R/tGq659ZyZ93fCjGe+FyRj8r25ldLViEhjQT+GGT3VOItriAA7hNbl142MAZAeKff4IfsgbhjVwCPCXMQ1F98EKJTqQ1xOnkPaws91vrPqZqhUTq/z7Af02PxgUJ1CjP/KDVDN35z0cAG2L6v7xvqTsjFa0brX9BrheojTuXLhEdlwinwhN+NO8pgjDR0K8aoNi9aeZSrEdhWAMW6snKbid/g47R6v40CNntTnCf8dyg42AbJkcawO5xq8QZ3H290WPavpKPbyr1/nkX+wipoHz4DmkcTyn2boeCRz3JE8NouU+oTI+AwUOYcct34xlH0w0CzX6NBuIJ2p0GQDJ38wPf/hmz7NI+rvryrGHs/iq4gIldPKHMkz5FauLIwGEiYnoB1Z8a+op1qy5zYDWtUko+MpDA8a1Gdfj6X7pLsn/xK/+TYQsl53JI0ebIRNq0S2NoSfPsSBT4LKTo10BUtByHqlteHK6TORHl4vhzcsv2sDRL/Jjlq4CZtR8IXCkRFgO+/V5HhSQqXihUUFSb7HHYnLedhFnxGcXjxC9m5SaRFKtG+LnmiKQw1asy9BVaj5oqI6qxC8WbCY/N6J0mCewn3fFvbuBPH7mL2JbaL+/PyZbHRHX4Zyh4dMb1s4csSNxwsYPL41W0MEiA0wuKJlf0MsEc/zSiTiSIZvMeZojPeGAnuxif951pmx0dbxXgNfzsTMOSWB1kTs2nKjFCRhza8MRkijZPiwjFqxEGK0yt0FmX4H+Zn0Wl9j1lZSIJCTwEiKNtVfW/byZeYvYHEDYnFg7qA3lHeOkWNNQv/vjVHKxVx941ZAhbIEu7KKFxqtAWaNja4I9DwvC2THn6Q4rYgN0CZpDuMk9zWrJ7JhuhKL2kjxJyS4Bb1jFQPGtSyr42HjVkhxyX9o0hcBY2focpnJBHv8x7eIrrzQLYtWmlBuEjqn1bGUdxk1Rk2MeiManC7eGBqm37JzjVOtBClhhIGF5tlMhEmPLSdUSsg7yN7zeC7j4miAT0IrX9062kJhuYJcGKQK0xSOzTnmKcCkonGxD3hJxjG6O0TpLmHxEofsltp4SG7NSvZOGleZJgdzdu5neCpjSE4Wil5LZeSlJs4XMlS8ufIdKddQ9MxCRtIlMF2pC6wqPPSxWqpXU/YgTvVbw9Bugx2lRa8yx+jKEqelzxUFDAFlpJ9aFCVkuIkFy7N+OkNmWK8Qic1aTJXTZUfag7u+u+vdxpbyKB0gMQkpVvFPP+7bk7eD2+PtQa1gkCG2MvQw6HCDQZ6ER3uETUju3xpDT3JHyMN9wcyUMd51tOx6sBEadMseH6UJcJ9nO0/UUxZYoVNi+O9mwiZaF0WSORqFISn1rggz4OCA04F7jvj5cQSILaMfw195pCxp/KgRy0Rw0z/YvPTVfsuI3c4dz3BZCCHalOemgTPXLI4nc/WBPJYMXVz5fRiZbtNkJZjk0W3brzS4CkHITQq33X/Vv/ADTAtzXV2zwESyfDjDklDyBEIHRtUhTd3t7oknnCE9sXXzzxhRvSj+INk2qCT+jDSSBM9xBAF5mwbVsGR5oWOzaXT2GY2NdeWrZ01SAh9h1O8q+NNLMtwZs8j7+GJZ1CdTz9twzGPeCfAGtGU8lsg3CqdCOSHjcbEpCkCzhXS3w6R1Hfcu1ug0i7bRx8HfhuKBPQRHuoE4bKSA4OcGWEMFLL+3MHW2rNWvg/lZsvhhAgviefCxw6vKlEjBkqBGJGaRlXE5rx+U1Oq+0OX/imAWIpniit1RdHNPvgApkUSod8jojJJNEJ4FQoCgE5UZwv7RAKl/UAkFVmOFHAZb8cPkNQ9+4P5hEorkdkUv+6RZL3PH4gRfxM3znjPoHxdN/X0zdNc5shlPPIHNpn8XPhIl44XPCe1Re013ojTvUX4V4Ll5RqcIhPC22Ws2450J097qICh2nIF+rB+hqZQSZuLJZWcHfREOgA/JhamgmbHuhY2dn/dvz9Q1DJijlIZveRljdrJhOrbYvnbhjVx5Np00kAkwkkXJUJ1CUafUyXkJLSJk3Bwcew8RQBvGYboedNZYGAnUQ1Tg+IXjQFrQCoYuRQkfgCV+bf5Be2XOGeAsRINOQmTq6s9GKNqLrm7i6wvCEYC+LrZy3VP7I8/SiY/SCY8Jw7GGec8DR6ReM/3OWcKVc5rH8jsLbgnla/rITVESAE3iGK7H+QYjBwCeEDro55DGk0z8dtmV/HaidLPMcm/xkmjbB2oso6ZO06jsAdCUi+v5SifHHNta6bclevKjdRa4fpAU0Ec6axfdo4/IOLgt5kXO10LH8OT6nyG2NdbURukmyKrzPxD2esFuSt3Nyj50sFPCs8b58VR/CuK0CWKs0jZlysZOfmQe2E1vhCw1fv697+FdxHdWHTJBFROEtZZijDkJtS9WtqC8Yqlp45a8n4pwrCEpZ3S/Y38iDsoKW/uHpwUNyNmfKo0aXMN6D8nZqC39nAl6UHmAKPPVLvQbXrr2VuApvBbwdT/5Q5/7ZNR+jZLKCtKfSUvF8LG/VC+Gn3ojsaelDb4uyvutgcGaM4KVa9Rry6auI3DgJ79O8v6QHeAVO3ObuTV6JAYfDQNIqe9qma30fugyC8bMVlmmSlLot+0yo3Qi7Wx2v1MuBBJwYan6RyoW/PNclCEyr4q0UvaZblHwQf5PY+7wQoCQ/nKGLmGjWu3CWOSKzDWGbr+b2MgI8Viga+jk3b4OO43itHG1ylt9K554NkysNwCcWTvKqOM1UP7gdpI2ITwVj9TootZoqmgVGgF9VpgstquXKkJiFCPnI5RCf4/bIv4typejZKG5nMhZpbYD73kzSr/MaV13XvW/EVVbjABJzF90N8HSyVZTuB92/Qx9ePSRo92HbAqheztgA+s6lITmhdA2IkUBRITFuTTANX1toOBGpeO7yidD3jRzADCXFOdLoKAlaXFXwEHcfaU6q+OXIlSBKy0XJAvBH2hnVGJeFKMBzh4KKl3qahFoGou4YwerOZVw+b3MKq8Q+BMk59z7rv/exurkZEtPak+Rkqr/aAzXccDcBWsFyFdfQoCqkhsPHvqmBbBHwJ7V3NBvPoQBjx6tWcSK4N62FxfR2Mf1U2CMTzAThsiM/ku6ESm3AGX55epNs3RDFi7NcE4x8X4QYGp72ckboFdSzVYd1ZKB/dOjCQO/9dX3kdL79TGaj1Qy6W321947fKhd2azj12KtLkNoJD3X6wxHkSiesOlRmvGvjr6CLiy6zHZmKRRCKd7et4ulYNRA97U/CbcPKcPWinXYpJHWHZWPF5bfhKy2603L62Ox+a870/MfgFGnjmrRsWzz836YN1VB3a5dIqlWBlX8tiEBj/hkgeQ6tyiv4OH/JIydm2P5yu6mzJkRYEwUrKNG5dPYiE0bRtgw1Z4ojuc7wuHUiIz/ldcHEn18GBtdksCteqIu8OO97fZa0Hr4m3mS127aa3zvCy3OgRrIMOiyh91ANH4I2Kq5575ihrph5ds+t97BB+C+1grX8a/zWkYe4OcsrwY/KyYgdsZSoKCvyNqihof43xMXJZQVwWy0puwG3AxPILEnVFiAR26dGAZ0THti5TiAOHrKnLlmlfH2VhLRpkVFPL7rZBFu7/wdWtjgXdnarCkpxfKnMtFTS4VfZChVoiqHUs/5DzW8lA0vuRRWOyOyU2DYwJ+DU4Y0Txqd9nZew5VrWstzA57d9apQve/s/JjKKza4dTe3hxugxBUDKOODUqb0snbYdpnRxbzvK/DpDv15jtOcjz0UyQQCeHohT31b7i2HpaUYaR59OuGCqez3KInZiOmiBd8Dj9NNea6OAKXPNXBWve7b9MKT2MNMNbZ+XYpHbugVafipmVDSSGsAPIRFHuhRteMyeANLhlWwVqVqk3Kpm3GpzrK34KDhf3xywR8ah1kq8VXVFjv96iwUY9Fm8DM6i9b5sF8ay/12dZnHNtNHrzc7eMR69vEb/5M5ZJRdPtoZ72Hgvu134mj4JsOOhNRzO35W5GfUIl5P4L+tXvGoQP4zm64SvUGxK3WCogpWwrOr+oD1BdmT5jEILL6vlndhYN9f1SATFqgSst4wh9jOJiTNSAOVyPr4rYfGv43N0vRKB22frs4zXtv9JVQh9kdtuUFJ6w10oneEIY7nK8vGKJLSXoug3uS4Y3LKY6VpVMVKpSgoNoqJYm4b7Kh/52coOhILy7ZIqGAXHplAsHsDODefdk9nQMM3BQldjAI9XNar9O+ur6h725h4IFRPFlV94dlDTgaBdC4BtL7RzFLli5xfDgo3tRlO93aNt/iExqmdYO9ldcIctGRLIY1xdGItC3SXxXlb9C3yNpJAVcAe22CQaP/o8jjsQXiM/b6H6Q2ClbkptHefb8V+amymBVBKdQ/qbggjEClGVabTHg7J4eEiTDdqcVmxYkz87uplLrZxXPQEw+BjK/u+e9rIcwF2hzhOS+PKdVVA4XS94S2VwXtgqHtde9GU389M26R/l+hhDuENAPekn+ogM2sDuyvAx0F5/KT0GRK/mIzWDIwoNgx4ihbEMs/JfuMtwGabAvwVKX6OpfLarif3ZIOUbPdisvJZaGT/w8J2pDAeRx0dCIYjakOLp/fznzqJSz6+vJhZVn+eIbC5cKzmfAakr8AgQERFVHYSVhpspYgvr8B/Qkcv4Ek349DPtfhH2H7bT77uDOMjJqa2F/r64FX8z45nPsGoHSHoo6glGKFZnvkMtRBlRkvDKskYOUijwJzYpuXGKCWVq1oewsJeRkUerAECoiC5d9gZ6/O5e0N8lkUk/Ad6xBtK/skL4IqTkeKPFh72p4/UhiY0N0wIMMMmZchpOLdqnL/YA7YSB562JxeCjpUhEKl4RfIAFv7ghbtu4XcEgYyDZA4Vbz+Uu5IC/JRR2HV5wrNJ+w2KUuO6DFmdpsbeRHUxqbnaKgrqca7EU/4A8UyWQsb+Q6R/tmLLPeDeK5AjVATcxVHxUjr1ivurcMrtBeWvBPCojAIJ8X3F9SsU7Md8+GCStHF1GONoN4UsdmtvNrKRc0CTxQnLPP/e/KX7Gu6oGVm9ZmIL0LBSv77y+nw8Clqn6/MDdBOJKtxEY7uH4BRdV0/mhreAVN01abHRzqiMYmjXDnO5AIsV0bFfboiCCiaEX2vSNuXm6g126WeT1N4sAKD9JqCtSEu4wziuwN/YouczdBen0BarTZPdjK1wDOGOLZ49/+WEcnnqlmlDij1zjWCVQRTr1s4N5jgO8dVqFwx7+n/f3qFUQOxb8ykFop9R9CweSvFLetWqwyI8eTBuGyDgrXoJfHQINdCKbJeQLd0oc9u4CophEfC5dpbSAFBbjonVC7gWDv/ayzpDabakbaBTVhGABXmpvbd06gEcl44xObopdgQB13GFPr1TeBMmcsJLje0/sVa+Rd7LTKlcPGNDl/FVuO/23x++VAD6yXBgD/PQNldJ2LbS6Qo2tT4dPCOKFLf6anSLty4qKga602wABAGlKB3XDJod+O6hANzLGQLgv85Rxfv1IQDVQpwAKmCpOS1O/AcD7aj93Vu+kYu+gblYacsf/sks97oJ6w14eswLN5ndihZRoJu2s/J+llcfXIt4Fmm/xe2oXdPtFVjmIgRCNI5SR+krYVSN6hUeqVZBtvkgvW5eXnIhbtl4y44lJBS4v2ecU1yGRYdqU7Nv8WRvW7wpYxM9csTwZRTgR/7gdRP0s2BmX8+qJuPDuN5hh7hx9GGZ+YqfjY83ZVrjnypvYV5SxVOxe6p0/25YOJyF4BD9PDaFj+t+yr6m+ojum47/Bou18y/AUuW5Yui4HzFjDOEs4/I5M14cyEXZQyPftV2JYe8FmO9Rq1FieF7kz79VTGEORuh0UiB7dcwGUhdiA4bEJTnILMOUexTZehsNs8rBSTIhHfA1x4sBeiwOIusrYvB/WYztBoYpTzcqobSp98bCxAyazmOII7t2z6+gFFgkft8Ru/48I7Epy3Yo/ysd5iVwUYisUE0jHaVvSuGHjKzHz5xot8SsKetuW7AyMRzhvuQbDRgMEPuTv6st7YQr9qk8ZFHUyshk97Rl5txydElWQ54xRcsUnmI3t5nNB4wZTjNaoNwERMNti2oe7pCEcyH9oFZFKsBh7C5R9UP3jFidIYkWCnh6lqUWZ8ObtDbeFOtrpXX5s2CVCoUlBwgf5eUySJOjfzUNN7tHkPnwLhsr3D3rmczBYlL6wozqEDEl9NCSwl9EGXFfZyspDYcL+rXGTts78GhDyay3zBRVdmjklw2BQXCnEAHQ3mykc2GI1ViVyZrqtaOIZ/Z8kMF+WHl1gF5eBc6XrF34XBX21d/3PY/sNLUW+fWPwvCBefS9MF0nMnesk5zDxt0IKd5Y5I3dWypUWFw7qB+YH6z1WJ0Z/ZfXbSc1D/G1KOrLq099nA+vmE+zf32S3ybKbCK61gt2iX5RBZ9Nn9Zl7gCNWRhfFF4c//thszXCVZdv2kPn8IuOKfmGXGMnOfDmZlbsBR46zq0lvHX4Qev5ifHfMKUTbmO4pGb5XwURIBAD+U5cEA/Tw389pymgjXwATCYQcqmRE696LjtChsEnGLle5f/jiMHVzvaq4kT0iC2io1VHi5mU/axT+v4dVRAR0Aas2apAKWNocN7pmJS7xh0s5l08OMQhrsglh0TmsfVe48vjo7WWfCmjOxZjDUje4IKSC1iTdXGKDOZRqDcaKi/wuZg4H8RkW6VGsgs5F1+TTHS+l89XNgh9zAOu4tWt+SlLc9kGlsmelPeC9Ais/kowa7citPzr/IOxeSlreNaXx4yIBSi+50Z99QvmUweS+pFLiWgkOWSl7EO+vU3otWE2Gz5APmGwusTlguAvI0TPS5GggESrZkhSZ/KFhfchKqu7EA93KuIN+tpokyIQHQ3/BVlNag0wp/Abe5pX+FzTc6JG+/YE4aKwu03oJqcKb4UPAUq4jjagCxbkx0yXrQAf6FVSvlt5qOCzPnNQFNoswIJ2PSvhVcW8KeDeNGkFS0QpeMZjVeR/Bx9Sua80Vuuu+5TYM8deD7HsVtD+Twg3Am2oBa7URvA20xP3B/0QolEfaNMxTD8wZiL3pIQUFzgcZa18i/8QA2VFTeXg4ffJXVigz/n52zdBdrD/TfyGEM6rZwu3ZD980a5J1T9oesWRMiXXxrCcddfRCgQwWOitSeBtyuvItIa131B94MlyhkMu+8nFzugIhSGrK9JNdKWb8NOYdTpWhXUC4BgVG+Z1kAjcaRhZHarmEPGfxWy4Mea/wFKjRFcUh/idXK5+zngwFcQiGb4BnmBaRRm4T9orI1sNfkKNHtRDwow3gm5jfQSn57CQ1t/nmJZCbMFBTshrMi30DysK0K+XofW7kOS6AJ+RTg+m9Yr8QX6+aMODJGrHzxVy1GZXXzbJ7iUBAK2e5uynRtZVcgzOGP3EyOGN6QqO4pWvps7jCHZzAThh76v7aVvMTXcTPE4Z+3ES7JTcGX7z2zFtGduOn0DMbY2DHIpGj2elYSg5CQS0kzWUtLQphrh+tuswnWABDhTGCPjE4Pzv3WtLHennYfGjmP7Or7pfXw7id8pIU5hO4LpaK8E5KAWOY/exV8/Xc/1PuTI9QqXn5R6lInYeLe8bG2OPYuiIPRCRx+7278g9rVCp2a4WzYnTH9ZIy6GuJvFSRK2Z4h/hk/hS2VdYAZ05wx6j4GtL7knAdOEjh1Ly8jQ9OMXrpnW8jQ3QB4A96ReO6ihDNo3rKVFcfFqT6m6Rp9xrBOV03ZB6YOoRs994I6vkerxtQy5qerbrW1yZ5n3C32OmTDKD2C16VrXTehLnPDLqLV2fBK2K4den5bNCsU3JWIUyTY6lLwJH8DotF+snxVHyaKOKfhG7YghUwq1iY2f3wpY1QbiyLtw9kC+uCGtSTsvVErKc1hM+r5nXUVwbp72z47Ohnwdt553Dg4ADzDmRmFGlYHbOdqcz5eDhlv2Rs/dV17V5bDT85hmXQduoZv4gMNDJTuKhvolCWTUXaTaBWrON9c+ydnFPA5hzpbajGwSvDo7vEDdS5V5HkOiYrq+geYBJgdsejSa/KuRLA0NOzdxrtlPW6kLmWS3RTvHtiiqQ4AHJDim56x8QNXFry4HLrhksw/r95cOg1dPNR+48QaVrWZGQ2WVOOYiZlJWd7/bnlkAPXmFWquS51IIfxOOecXSLGl3BD+r7e4vJBoMeFyEe8+bSPttHFUtYAcv3tHVNyd1F++pRWabFsoyuLLYtIMmjdy28Ao/Q92W9oTfIRBnkqsdAA+a1l6FzxuRRn49RHD1tAVB9pMiah7L+EZ9b6uMipnSZ2BkMFfMl3uS/S7lK+UVKqOZYbwhcNI7kLxtebs+E74zYugQM6CrX5kCNDsOQlT1zu6p072QuPPRd48syMWx6sxlosRqSfs9vKsHqPmgf09noUfpYM5kPaD7RR7o4wFYogg/SiUhtQk4O8/JZOzeuWgPHUtcVBFPhAJ86gZPvVOn8boxhSa8SjOIn+VXEtdJa0YXw/7T7VNXoLTbF9Fi3wWnASVghzdf2WdEQDbzdqeZzSjvWr9ybmGuREGCZh20baF7mVzNrgshI9HMFj0t3zpC28/ZUby5rnCfljIB1Y5cjOcBvfLGERzrg/bXwufHATFRaYMS5tL/Fhfc5vJHX2whu8g/CG5nxT52c1yC497KjsdFjERXSMJOJ5pgkM94vBmrr8aIVO4tXsLm9Nrr835pSOHsq6KGB46M7p/+1Z8JN6TmLRsIM6fNwWUWzrLO8VCtCK91lR66j8AYI76qIyMnCJuZADmZHjE4RRu5crVZrFASQZwtY2LBalQPakC0TMEtNZQ7oHeZUEj+XyuB19hdHqHoRnLkPjMzJSieeIj/PJx+ZTBW5xIBZJtwg0+x2qZ/PQHCyNB7X2MI5hwHbZ99zfYE1lKupW1dUHpNcngxpf45SNpHIWPGIfg8iyh4/YuWq84os82DycLgioQhr1JHym6aiCjHjQkgb4BSIB+XDUhdohWLboHCSDSzGo9PKuz7iZgnJ9qrNPKhzYAW9ZXHHdGaeWPNkjlf/M8khZkRh1TNhBRUi5ffGLnP/UkWOmffF6zgYUshgzOYPDcWs69nfsmee6sJsha5oVJ6zN0Tf1Dg037WNJELoVzwSY74tt4/G4Ru2xPiLLVUVvtbkyKzlUcLXzfAFNZXKjw/8QshKICvrHZzlbszJePFUaIa9XK7+7EYyVlKWswjwLNSPkP6atcrKKN6gvqrmDYAz/Ysy0oEkV3jketacYP/Xk8+TVipYOSaK50jdOxtpQToVKG2j1wpJa9fhHgB59L6LBKG6l8FX7fSIqYVNx0Z0z4mvVN+DjIwY9AcH/5jGQ0dTbbV9FKYztfal/HOYIGZBr3b+8W2edJYDLUCGPDjro/W0G/a+HEEJqMkYRI8RQsUegEICHNRHaROld51a+DmFXF2q0O95annRZE14GPc1aCm93ec5z4JopAqLwQM3WLgsDOns9SKHMOMadIZ/EToDWHB3cbj9VMWiROYDtL/OFi+bDgsW/0egjQwWI3hdJ98IQgUN6GRpU25gNAorTDW3rymUjQcD25LIR/jJH/KGTOAFVyVEzhv7gWz+DNj3yBdfRCVAwEcxWn15i9Eun0ezi3UUz8b9BV/s0bYvzigdIWIdBdk/FDn7UDntYrt7ozpbX8J+uFRwYwAYzCztv8S0VKuUNI8GX9GHeo+S/Xq9sPvcA/Mvfc4rxsuTCixpRS8GaOqWt7BgEbXUJLC6p3HDG2Y0uwlzQI1JTSA/q2/QWAyKWmV9elJgqh07glSc0jjHvhPISJPXwUx+FSGp3/tvMYFOaJ69hnKqyPiaZdYUpsVfH8rqnUSOhxa8vOaKcQbfnetC7DRKQUBzfBVVZVYPQTkR+dQE5FcRZRo6DeOW2FGrVRRrMDpAurI7Yd9oOa+WO2JvvQ6hw4cFV8I+M8pmLSU5diHoeCnCFzBkXfr78YgbTcmqhFI6TBvNktySvfVJjus/w6XfTmcy1jsZTz4HxJZieyB8iJKNjhHcJ5quV/v7wU3Fh02zi8fNhQ/DdaxOZsxwC7869hpNZVgveZ7IV/IjPMHroHznXk0RsPzqS+B5B5MSsYnDtCn1MaXAvtMbKyofLFULcdt09co1/8l2/HUkfEhsnqjWzkpbUjoXX6uFkUr/x2bTiEen77VZ8mELR8VA+x1d3sB9P7bTxmcr+HFWUexfQh6vc8Oe1g1r3yCw9mkrcNo14orHUayM3wM/Hqfj9OofGgwDCse6vbqHtDfNfDU3ZLAH3blC4TIee5NEVEKAhHBmnfiaA5OsulzUT64t3ZFUf8TmhAoJnz7JAYzO/HJ0TKGx+qQLidWIW6xQ1GJ0/wJVMz8lwRAd19tEGVh7DSydQrN5TA9JdpQ4p/KfjrXgyLtJqz+9XrMJD52SLsWjJkly1tX4uvEjw6GBJdCFf0DlY7pXKjyUXLMjJmSsO6Urz43902HyT7RTZbBX/p4gkatbnO84ugkJAXF+9PQH4q2FzMq9SXdRIuoMnpiYNLSo4EzGPRtdiDvH5rFOay9pJ3znhe4MDoitXXl6Lj/6ti33b2n+cKSMCeazuBdJXBOIwyDfAn1v2H7p6/si0SMdqg+gN7zlhlL184CdMM0YCPfmTAmh89iRwR4gVH4/teSRjvchxLqdNp5cQ2vXgWdGnK/421uHWiHhdquTMHl1hZxM+K+VKpWfWFJrAYTnrH3BcKRV/j1pkMc5bVzdL9owdVjc7hxFHIurpgvfpg3xS39W71oExGxtoqOeAUKlr0Uo3QoD1QXeHePdlMtf59/ox9BrlyBk9QAno7yhflvRmh5ego2qS1scASrno03TKv0ypnQcoB6t6Km8Te3obHcoZlROPQy8YxIjSDkwpaCPnISIQHtP8+dWtFsSpEalR5Z8uHsthtqLJhE5XGGLqwJp5ApefnmcKtaR+QQf6/DawslyFsQnJiEf3gRlg0+BAip37SMIcLk9UDzFMYiUGfwua4/UH1jfD8FPqFUUplSye55Cu+r11yaD/ABoCGjnFiQbf9zlSquKIFtmZlVxEbuW4JFXk2sUlZWq0GoVxORkrcgVyifAt1uI0Lz3h5d6+zIFTLhBr0GrpfbcujzNcf9YzWnuWR9OLgxSyh0Ko1s/WwDeRPKPxC3ewEzxnyRMMqHMv/zZu+J0/V8Ijwoy2IqyVZFMHG4XAaNEx6YHtu5vqZz1Ll5fqBb+nj3+7/XFTU/rFAABVu3qw5fiCKUE2EiWxGeTyDxCKSi13Qgv7/Y23o8LgU8SSW/8nz83vIj5z3QLVX27YM3kat0p53o0W+h9uVsteEoSx4kFN63qgILTtiuRL9u5uQz6CoNYSPYcdyxTbB/RjHmnxpw49x6YeQ0wEaPqwI4FzK+srlYpqrLsxzFNH8ZaKhjzGwXYmAJsUfD99J2T0b4lHYDJSb9Cx2ISYGvDcJwjRp8e7ZUjtqQ18Z72TslajbUl1vJyed02T0tEj24QCOvLvoi9/iSNYLUQ0pq/cmNgxu76J8Qfiv28ui/sxTCD9hmD6UO8BvISJgSBI+K2Ce7DAouY0NcSI3qoXjdt11NdrYM+V0H3oX1dktUhPN3eI9JrdJUWouLuByxHlKxlkV347NPNQWyredr5RKg683tENNd2yUQs3KrccpxrcCFcBx6Wsf0f/LsEZEuxu9TqN9OL4I6ZkeVlOcOFNeLK+YQivTQd2UMX+A8yxesBJUpd/ZouIfJxCbC7eSQ4oIR2ANMcibRKKG5GyBjH1BRQ6sVN7NxcJrbfXgSY4QWSTpKLrwn2syFAeg2d9fK7AXn/IzaLRf7utFv/cRwNUeK6EynLF9kS+sJBNIyWWi56AZey+w3Jp5tm/o8qXXNBsGfHyOwc9WOBhUf8R7NcfIERcKmkAq5zVTUyNOEXG/qCA5C91ghTcABJ1gvam2yCVjaTczzRStazgUUlpJ87HzvQsAmjJUX3KTRRr4LSwDX5RBzfyiuFAeZjQldiTVL+jJzjxE/pN/RzCj8Fhd/FKqO+DUMw1eT4B53/cJpljig0mnsqOshyU0FYy47Q/wzrlf1+AjABZ8i8fu8qITvkddE5UqNttUeqfCD2JoFccXn2F25S6hVCCjnWmGWdCczBjiOt7vrj2m+ID6ckCfqNcmMSjtWIqEfQ0IEuqAI876FJITHph196BxXUujGAMjbiW5gi8i9raN2fc86atoyxIK4y+F7QWeDqwGCQ/3vW8uEoilJVN9dH0k3oXaZsDm5aUogY338iq2SYXPZNWUvYmaWrLY9jNirNsqySZ9Eo/6nipm7O/FvpS6iZ2ctqXfPLVr8HkmWfcBKJuGoSf4g2Ca+9mKc1txWjuh9TrPcnMKR2CmvElGuYiCrYOfXUOi997xjXGnJRlbmOK+52mpd3YU3d/JrC2FntMrKCOywuuhAaLJOHuqHT+WDoQ+3zl5YF5EjVCd4TA4b8YxYS/XyMwr8IcJumL/xMFRi4Oj9AtE60Q0zAx1gkkQzWDOApIuXZWnBgrtjbpjTn5lm24UwWL4Cq8fpeMfC9F2PDadU9RyzRUoly+6CT86XgtB3uMxnhG+zPL58f2ThOuWH5Altd5fVFAHTCbBtWofhRnElt+s8nkMVz2xgsx/nZyh8ZpuwvK8lzw4tIuqwDfgu25Dr/GuPFklYK0ROYzen+iySX2d7SugpJqYP650w+V7aWbhsBlgYTySCqfCdpFO4jSVqJHn/A9gDNoEgClBdQ7Gp5hq3EmLuPH7LUfpi1gRqnzVZagVD3sguJFJQjw2obF72qhBdEP0fJ2lQGk/PSYYcvqZpa8t2qOPoTbL0PaahcFPp+yy0Wat+qRqA4gkyOG2fOt2iPS5KHPXWunO0d4JKvha6ReZB80EEcIEp2JY6XZcgktNgvGwWpT38dhV/In5x7GIbyeHJ2gdJAcTCiHAlZqXIY5w5FE7jRhWHFtfNlHOXQrlElt4duCUzc0L3zdbeaL21RwirnklpUDGwffk2bD7Qrts1vWBROiSas41rxERyY4oXtTf4nmvx3TZwl6/k2lgJ+dkBPVr9jJKiz6bgQPKKvX4KDVa/l+7DXM2NIS5adysz0VElRvTDXcHKTMZmsBtbj6n1F85AnybTcQxRn2jkEeR67Wm4AA/z35VZQ6DL1uqxJKa8FXre+GJtirn2kQsY6VBhkUbIQodxPE8+ajMRp9EKFfOWdg9D9r/BRPdMDTJGyPnj/r3OlgNrasQxYIXNy3Ln/lLXMrg9ZfSOXSO25elI5a4r1Whq3++j/UYBsJa/vwTUkkOEt2T+NNKcXmFinbWVa4o/fDJte40sAeu6bYdVV7rRNLQipZH7Y29vsyUXmhVI3Bg/yUy+kkvjeaV3n+Kt3p1lLXhADNxnfvDNwIqFv69QIrypBUvQtJ2k3bd8qfbSyXpBRXMdSNgiCJ5odIHf9xHirWFCjbyiLG2u0pJFDp1rzgC3n8PrAnaDNS2nogCUjwaylG5C+NyI/CLUPSLkUnxMDMQVOihdeDOcLJ0w98Gp0BSYa8qtPtbbQdZsmBobC0YPdDmgbC8xmi8uskz2SF5rRkR/kIu0cwh1CQcAczzCLF4CY+U+gP5Whi/TNtJjJFwtQzxfSrqqeoGyQn+ayFlUmBQMuEYYk9fRMRB130ItzqI6tx8S3IkJoKt4chmXchSDbQhdRWoFOhk1YcJqXU3C3zuZ4O00qfvWiJd+7R0Y7/jo1hdijbkCmI0bMGamL6EjwmI1Nooht51oAiJIZkyTwkG8erJPq60ivwsKZW5kc3RyZWFtCmVuZG9iagozMyAwIG9iago8PCAvQmFzZUZvbnQgL0NNU1kxMCAvRmlyc3RDaGFyIDAgL0ZvbnREZXNjcmlwdG9yIDM0IDAgUiAvTGFzdENoYXIgMTI3Ci9TdWJ0eXBlIC9UeXBlMSAvVHlwZSAvRm9udCAvV2lkdGhzIDMyIDAgUiA+PgplbmRvYmoKMzYgMCBvYmoKWyA3NzcgNzc3IDc3NyA3NzcgNzc3IDc3NyA3NzcgNzc3IDc3NyA3NzcgNzc3IDc3NyA3NzcgNzc3IDc3NyA3NzcgNzc3IDc3Nwo3NzcgNzc3IDc3NyA3NzcgNzc3IDc3NyA3NzcgNzc3IDc3NyA3NzcgNzc3IDc3NyA4ODggODg4IDc3NyA3NzcgNzc3IDc3NyA3NzcKNzc3IDc3NyA3NzcgNzc3IDc3NyA3NzcgNzc3IDUwMCAyNzcgMjIyIDM4OCA2MTEgNzIyIDYxMSA3MjIgNzc3IDc3NyA3NzcgNzc3CjEwMDAgMTAwMCAxMDAwIDEwMDAgMTAwMCAxMDAwIDc3NyA3NzcgNTU1IDcyMiA2NjYgNzIyIDcyMiA2NjYgNjExIDc3NyA3NzcKMzg4IDUwMCA3NzcgNjY2IDk0NCA3MjIgNzc3IDYxMSA3NzcgNzIyIDU1NSA2NjYgNzIyIDcyMiAxMDAwIDcyMiA3MjIgNjY2CjE4ODggMjMzMyAxODg4IDIzMzMgMCA1NTUgNjM4IDAgMCAwIDAgNzIyIDU1NSA3NzcgNjY2IDQ0NCA2NjYgNzc3IDc3NyA3NzcKNzc3IDIyMiAzODggNzc3IDc3NyA3NzcgNzc3IDc3NyA3NzcgMTAwMCAxMDAwIDc3NyA2NjYgNTU1IDU0MCA1NDAgNDI5IF0KZW5kb2JqCjM4IDAgb2JqCjw8IC9Bc2NlbnQgOTIwIC9DYXBIZWlnaHQgMTAwMCAvRGVzY2VudCAtNDIwIC9GbGFncyA0Ci9Gb250QkJveCBbIC01NSAtNDIwIDIzNDMgOTIwIF0gL0ZvbnRGYW1pbHkgKE1TQk0xMCkgL0ZvbnRGaWxlIDM5IDAgUgovRm9udE5hbWUgL01TQk0xMCAvSXRhbGljQW5nbGUgMCAvU3RlbVYgNTAgL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9YSGVpZ2h0IDUwMCA+PgplbmRvYmoKMzkgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAzMTEwMSAvTGVuZ3RoMSA1MTg1IC9MZW5ndGgyIDI4OTQ0Ci9MZW5ndGgzIDAgPj4Kc3RyZWFtCnicjLgFVBVa8z5Mg6S0IHGkGw4NEtIg0ildh+7ulu7ukEa6pKRLukO6u1tA/kdvqPfe9/d9i7XgzDwze8/Mnr3nOZC/kFWgFzCw0gOJWlna0wMZmLgBUgqCUkAmABMTCwMTEzMiObmiib056C89IrkyyNbOxMqS+xcLIVuQrj1YJ6xr/93QyhLw2sEcAGQBANm5gRzcTEwAZiYmrr8MrWy5AcK6jiYGACkGwGsrS5AdIrmQlbWLrYmRsT034O+PACp9agCQi4uD7oc7QMACZGuir2sJkNK1NwZZgHfU1zUHKFjpm4DsXX5bAkDFY2xvb83NyOjk5MSga2HHYGVrxEdNB3AysTcGyIPsQLaOIAPA95wB0roWoD9zY0AkBygam9j9AShYGdo76dqCAGCFuYk+yNIO7OJgaQCyBYC3ByhIvAHIWIMs/zB+84cBHeDP6gCADMC/l/vT+/tCJpY/nHX19a0srHUtXUwsjQCGJuYggIzoGwZ7Z3s6gK6lwXdDXXM7K7C/rqOuibmuHtjgR+i6AFEBOYAuOMU/87PTtzWxtrdjsDMx/54j4/dlwHUWsTQQsrKwAFna2yEifg9Q2MQWpA+uvAvjn8drZmnlZOn2l2RoYmlg+D0PAwdrRiVLExsHkITwnzZgFeJPnRHIHsDGxALk4mQGgGwAIGd9Y8bvGyi6WIN+gMDvanASHm7WVtYAQ3AeIA8TQxD4D6Kbna4jCGBv6wDycPsV+F1CBAIBBib69gA9kJGJJeLP1cFqkOEfMrgDbE2cAepM4AYEApi+//z9SRPcYwZWluYuP81/nPFfuf6tFRS0cga40bOxAehZmcEtysLKAuACf/D4fYG/U/8r7R9aWV2TP8P6ZUUJS0MrAMcf0YPL9mcGAEbHP5uC6s8rQw34bQsAo7QVuJlBAKqfva/BxMakD/4F/P99A364/Ffff1/l/7P1/xWSqIO5+Q8Dqj8s/m2ga2Fi7vKHiYiDOcj2XxYqoD+usRTIwMTB4l+whL0u+GYIWBqZ/1VEAKOJnaiJM8hA1sRe3/iP5vkBgMCX4vdTEbHUtzL4fnuY2dgBura2ui6I4EWAYJEN4Ab+C25okPOP9gQwMlha2YOdANYO9h4AQytbxO9nwwRgNAfZ2VnZgkGQjQO4jmD4BwIEMBp9f6dAtv8BMgMYwbrvnr/rWX7o//T7HWL92+VvFduv1n9r2X9orcE3FWQA+mnM8UNtaGVubuX0U8v5S/wG4AfC5ueGXL8n8A8UfAX+isfK1s7c0v43EPhrZP+BM/+x7b+LxvL3pv/GWH9LzMr2txXZfk3vHxi4In96/XkUjuB4fsLgyvzh95/orxWyMwE3q+7PUgP/UaN/4sw/i/SjfL+1wG81+jfM/HfQ3xf+RwGZWf6K+b9A1l9df6zs+BNk+8Xznxj738fy73g4fj2Zf8OcP7L5VwG4fqh1ra1trZz/0erg2jhY25lbgR+/v3XgmhiAI/uH9o/bYuegZwey//1oWVj+hKzBb+O/QNbf/P7RwCxs/3D9Jw4uxl+u/25/Fo7v6F+u/4Fz/ub9G8T1D9dfQVamv/z+CQB/ev0T+rU+vwG/V+c36M/LpGura24O+kX/R1X0fjlD1j8eFDtjK9vf9Rw/9f9e549+sHewtbSz/85M/ga4/ryotvq/PE5sf1wUO/AssjM0+RUA/mIOcra31f0J/ZE2eITrWhqBc/tj4v2NsvyOmoMMfwFZfwHBYf+Gsf2G/WPVP2oBnhRWTr97cfwE/uHyRyXA/fEfXly/Yb87sjP9BupZgSfv3xjw53a/A+CiGJiAWTHIwsHc3sQaPOj+hsAVAVlY27uAW+Gn8o9KgJxN7OzBPM/klwvKDi6EwE8JnLngTwmcrtBPCZyi8E8JnJTIz7EDzkL0pwSOW+ynBA5W/KcEjk/ipwQO7PVPCRyL5E8JHMubnxI4FqmfEjgW6Z8SOBaZn8MOHIvsTwkci9xPCRyL/E8JHIvCTwkci+JPCRyL0k8JHIvyTwkci8pPCRyL6k8JHMvbn9MVHIvaTwkci7GuvRP43H7qmP/W/bx0XODAwPfJAPS7Kesv2l+MwbGJmlj+fOC5wOGJWZj8MsCYwJvIWICMdH81AzJ9b5VfugrIBN7gx/MNnuX/nIFM4Hro/W4N3tfIxAL0K1sA72yga/672Z+j1cDql3HL9HOk/qb/zjd+tLS+uZXd7zcW+J1u/MR+v0XA71wD/Gz9eKZ+0YIz/OvR+icEzhXMykFG4Ah+3KRfIHCq/8r/O734rwEH/E4s/gCsbP8Jcf41he3+jXH9Pb7/DX5nFLq2+sbfC/B9Uv6CAP9AfqT/DwhcAmETI10LC91flOAKmIHD+1UFztzsFxGcrbW5rqW+mRX4qweztckvEPs/IOAvGDhtkDX4q6SV5W9N9RdF+I8xDvz+1tlZ6+r/UuvvT9z/otbfX7n/Ta6B7Cz/g14D/3zu/pNgA9nZ/k2xgezs/0mygewc/02zgeyc/0m0gd+fxf9FtYHfX8n/i2xz/MzoP9g0x29Z/ZcB2//i29+f0v9JuDl+z/EfZ8bxW6L/BLn+b879/Sn+v0g38P9i3ZzM/zftBnL+LNe/mCqQ87dq/QfO9n8xb+D3B/9/Um/g9wHwP7k3kJPzf5NvICfX/2bfQC6m/5N+A7mA/8m/gVzM/5OAA7/Pkn8ycOD3UfJvCg7kYvvfl/f7mPnHhf/tW7a+g60tmFv8+H8G+Cv4X/KPf1iBQM4gfcS5aSv9l/6mVf7NNxUCz53oN4eZWVF6zkIuEFQ2RPAct+V8hXhuz1lyQmcF2ia3Qm9XMPaZCx8/mqniMJlpLbsnh3LjzNU0wxrqrdO5j2Lwft23e+PAvCXZ2qqmw2JpYIRzXC/f53TxaoIal87mdHMqbVeMh6K+7LrU+Biesu6AARlqODwU/hknJwsylP8ngbRPZYKVAhOTLRJkdmevhg9jCUV3b5O7B5jZ1nq+FNNBmqwmP9/bQ7GWvEjb40va6WDHl9QZBUyQb3SIoL0ceUsChB5HqYvji86sWSdDOzp0PtKHc/p6nlKlyPusLYQ2qcFebkhwwDn2SwDkIJpIvvrevcGxrZJQ/BdvgrPd9Qp+0OmnpJvumz24GRFnQSYefB9PDxPfZ/DMIRcUDYvNz0Jc8q2aMnRja3IOvwHZe1Qk097ErQ3kfnNJvJVooi9BYU6jmd14oj4WAu36+drNRaYzeHNIefANkv20TMUoXUx9sGB7qEWh1JsL3y/nWUTeLeLcPYdlSZfnG6m9esdmRRxTVNtyc6qhiES+x4hvq+gxPBEvk+v1GLEPYh7MDk0mqZ4w8eDIMqrgLW4e4PbP+rRjCxQvnXMmqbFVEYX1q193vM+zS2cnJZ/0yh/nzuSZwjOuXKswUSLhTe++5YFuGHPSDIBxqjtJp3w+vUm0+20ni1w1sJ8/tx6zxcpZKPeMfNeADfIsgGFY6aKU3as44WWWpkln6Jnq0xon3hNGoTOvddTHudpynMdXWR9ZXf3P6xwWHnj6Xeg4eTCaVJ029OLxhanlGGT7jkQEBOt3xnDvbgfbc/U0kC/THpYKBcsNmg6ZzwXT4Onrn6s/Hip0ScmMzvGd7OogRc07jJXrickVG1Xi4ug9KZ419E2pSVGnQXkFKuVBJ5qS2UIe6lyIfjYtUTodeqrPsX/7IWJNiBTREzNjca93RF9lsLZw6GA8gS0m9QKBVn9clFHnKb5eYxCjKOt2JNPEQFFUXoIqY/iBRbEu6uLtsrmCURohq0ru2DJgeSuaBSkJjtc3YvfecV42KBsuBOWhw3CnlT2vS4yBZwJByVCGw+krNkkXK2ICYwVThql6tOiOAs2l0IaZKgpBplPgRCDRh+cnvJ0sxkhMRg/s2XJkn3EoLzL8KFPZv3aSFoe9gFeoleUa0D982um6YrZtrZwWUzch3xbRqMikbYvo+7kWN3ipwtNV9anT2Q1nQjBDXaZXJLSLffb9OJFKcNH8ro9Y7Z2l6Fv6Uc/1x4WjwP2zb0Qlvp7zi/nOa0+QhLXd+1GDyCtPINh0aMgMaSzkZt/N7X+E3GDQ684Obbc/DyD77CoFC6GDeqvIU0JkxY44cirM+NpF+JU4VLjuJIUTrKzYc4IA1tjw85zDbqK2pwPDrHykxia4KlTHvcuTbL6UOdWLk8TKykrSAa/aut1C40LCCNxnkIF4z5CcO5BxUhlLrzOhV1imAoe8fT9AiTMrwXO9m73pXNdwXpPt9jBqWmCshKJUhLw5sQ9zaDuP3bM63Ydpct5u+iytrDgFM7Xvyrz6JcPek+e5l+R43P2gQ9qWnTJn5tFnHr/+muycfFNYCOk5x5dO1z5NjO+qmUYJIBupNlAMQ3VevSGmcIeT3R2rhWm4NAhZbh6rLH59B7uHypuFxDZc8K4n/yjSN2APCj8yzeSkDCDLerA0ebRXdvUaI76DkFr+IwdzX3L350Tj6wHKDHMr7Jf5+N4MOwc1U7yDOJPvb3kVceSGoDw+1J/hhb5HykK9JUHnj7Nzw9uJhi9/qqDb+SFCW2BrxL2QbORktVU0nHJpnZHy6WNNQ9giaddMbhKLXBpS88Wk2Uw5M66zzWz0ProOfCTwcvSDQKY9zdORhw/72PJbdLhCNGMwq5tBueBOR5xpoVNyG9UhUkYfSUiGgTYlKGBztQpImVc4TlUWhavN2SnX6K1/mxDFnAgNR5zldyZIJ+JddPhCHLVO6DIR/Roqj7k9bdypymBB84FWFCkZNdPmikzdlIQXdeKLdRWkRi531HJ1AsVFgOgsodbqG4uMbyhMZ0J7ihRQLzDatA8AfGQuL6eqfTteRhc4I90YORdH8PvIxlvZEAjbg1ziPUHyXpRPQryTjF2mgdLdrX4fZFBUlETS/MuRJt71gls9P+I9HOSHFaN9BWbEmvP1QmlJLDeewYyG1GE0QyfRS0IoAd0jPENOK6+VNIVjh4u9oUkd12gjbt4r6ntn3+SUDOqlC6dCRGeUErWUSOenBMiV853ruTbsJGLqN+p2hkgdtQgrPCXuLBGnXBdczfW8bLcCHN6L7gNzitdSdUnCNFKnpyYGh4GBPBy2OQeMd3jYl1shOH3v44pCodav5lME7x2K3fapHM2RvN0ir2MCpeJBXTn4wfFJ47L0swh3PmVt0yRtZwZTJoLdqeL59sbCtMh72KqvNyQ12pWQEwKYrrTypvU9yjEL1oY6rXmApUJdFHFtI7qtz1+g7KeG8eXTPSOqhdd+FpJ58aUf4Rzvzu6tZuwGwhNazSk/rED8Lq/kFgVYY3oXVZ4Xae8hSnl3sGEy3jc9qEN3oo0nIgkT0av6M7YLVOja4oUy31okBlKhrXfZeFkG2I/iHrrL6W5aQczApTKJq5OMO6IpZHZGLgHPSiVlMOLzINxkHCnU+5yWJKrJH0KBcQNEMuvUsGa38h5Xhx/atlrv54aOXnzaebnTB0Oa+kL97VfoVpucjMu0jMRDqqul6uVwC5/CeVmS2gFmcaj9w4e9jFpOSEIWuoXIpXLsUL2mdP/duSbhYvW3jirHBVUeCJwvS1GEYCMV14im2yjWCC1IGkAnJe2BGSGwtSvzwb6a/nnWgpfKnna5aAIUu3djt+F6ifwqRoh7hwiknhygMh5DI8+g9+as55AkVOuRprQxEyPaiXd6o1FvC7YyfCN5PCV5IztgISIre0EpOcnpYdnCRR/FklDRRmtx3pD2fBmheEZD8F7NibFzV/2jiiNt8/b6e2T+ZTtZh2dMHWpaCF+o71lKFG5p7+BeeL96GKD/pNOAfPYA41l4fi80yI3+qmW0AqJBavE4gTb0WvUiJOyFqeXm290PONX0KFeZwcrBrbfFw1DJOzIYRo/9zK3qJ3UxTXCGssOc1WVWnEmGq2+9SUBqn1lZLV3Z5S5bJ2HwMXv216G5t24ta4uqZiDm8YyaMS+SxGkryVw3LwINAFU0DcUsIoFjBV3ly7D9r+o11kF0St+CF0eQMYlsfQxs5u1l2/q/9JZZtb+2uMBSXycc2kdq7HgIWShD6okPusVQnRmT+VAASYMn3ONnea6Q2UB4veQiWvhmuaW8juyz3IxE1JHb+EGVuBrsJ9++TOtqp+dNIEYjI8cKKwW6vaxna90bIe4uiZRoeW/rRNPRLjN7Xu7JugjVYjnJz2HmLYz2HtaqEtfHHngwV8uhJFzUz09mX65AApMNAA1AEQKtNxJiso2xJYPTOEysETqJ+Qa5XdXk2IsjH1u83k68bQ+6EdCXdFAitWoufMG628T1ufybr/Yey8uitIgOt0xHtocETt84sdScFeTqfk11Ym9oQhZr/On3uIO9p3m2iVslPCnpm0hWOM4nNPLpHAKKg35dHppzmBjKpu7bQynkXC/zDBi1ZlX2yauub2OeicQ+K54Y0XRhvHnDJUdjNM1qzKSWIk0JlzcSi1P6AQqPiKXTI8Z5N/bgJVGiwGlFpETRhfE9IbNB/hcP6/dhgzYrhvR5lW/FcM8F0dTlzsmY3WKp7HTejVwtQi+MG3CwSfvL871FoX4nevppjmGSy4C5mr0ADdpoSQW5rsAcyuQbsa49hV0wzldCCFISnS+JE4Co6FmCe3YzZDW0HDat7ifKpNEvdYLLCfStIOyT5+R5s3rrZY6X01ZPXrYT3RE4PindsYqDOu/bSwkcWuPzmpY1vrNAyCXxhiHtlmiWdnws2aUZddTh7V3xL7HHivyC8az7w6ABjXObu6jOl8VKk/m64DyjicfLlRp+DlWGsCTHVJoAFN50RtJuHNOg2VvLfd/jJBu4KF8/IW/K0vQmEdfSl4Cp5J2hs7gsw3KM3iG1YT2/BWyUgFeEF0/uXXN7RvzLpgh06cq88fJ195cRCayVyI6oJCBk7aU1Bz9XN6MtaVCgIaM8bGncWuZHjD5cp44qjyLRt/UOQEgjlYa7ntfzPWUoqjNT5PqyWZsWqKPXnqFDr6o+3Kroiom8I96bVOzkup9QZ1w8yCYP0yxzvUX/NG9WaEzHkND7xd4+BBbuwizjjvNVbJmhqRegN5ybyw6/Xa8qB7grVXhOTZrYzuz5iHaz+tZ4iGUJIfThyg7fww/xw8MXL1H7/lp7G04qIukdDpf1FTYR3M45LcEc1aRLSPYni/hG07VEkNh4FK24O7DYz2FxleyDWvM656e62SaDu5Jf66+jPsG80r7yIIc2H4wPWR0KjeIifH1Uvlwn2qF8j8r68r2iwiRf36wC5/iYS4ZjKQXvG/YblOqAAxIruEtE0h3uwhKrUe1ekQLKiQ/EJ2eh1g4ckb2RQaOzE8ZJi2kKeIWmwIwpbtPCOqe2qaXwg6JP+0LdXwtivUl7isIlSpbPnJtN4aHCRDkP7K7V9l/EZxQ0QgeEXs9fbScJwvkivNMTHYZFnB32lahukvP6yA1ZlK1lQeQ3IRKhqLPoVZzZZNAfCC2ptaa1JMxK3spKfWOBV1FJSVxb7H+oRsMFh049Ry0ilTBUsA2ssOspmrppHe0xZ1ciMzSUJmsl3goeI5m34jvrMtcawhhZpWrBePJNVo8cM/wjCrEmwOiY2/qdZuuXZ4YxzGYyMIPQGYGlu4cBk7a9QWPz0un184JJkj3dA2GoJuo7X00+h/M3X8tE2grE+WvdtG1Qas0IbKx8Ug32Xa3h8lHUa6g2szaODRBTDtUnOCcEZnTuirLscj0X3t2h8vAuPK52M9Xf/FL6zvlkLDSXjAs6BXEr7318ET/9/Dish53HxBcFxo/Z8KhKbcZ8UpUyq3eaO7NTMe1kERjpuidcUy8g9Eto2LtJ8V9tU3bo1d9hf4hhde/RCeiCwnnOyWkoF6Bh1Od5COBcNtKRQdeYNuKfOMEqqmk0STB1znx/7mHNRYxx2aUA7EShR0NoK6w7kHpBq3IA/WavH96GCWbxje4QLvMUlI3P1gNEb/tghdpmihg2uzXO4dHmo5rzxy5S1nXf29q6smHkJqfiorjJtsfR+NdjmukAH0SHgMghA7bgtfNcRPr6QBfPW6Qj9anz+DUYtGU+2uJ0qrsSosmF4tegYEmOYPQrgHKoT6ScdGHVlyyWtq9Akx5E+YTU8RXUfWouKRUfXXoCSpmuzBsiYb1oLpRGfANsGQXiElWP8e2OxQLYXSZNKXOhKOMZNUk9vctBx8a3gIw+FEj4d8ikiBqLDerzB44N4ZEx9sYHKnG0PNRwe22RnXepKrhPCc6wxcdcu3fs8xvaLtvH0XC9iQYC+bhhNbmgIiL2c/Velt7gdus4shT3+SqwiUfERy12FARK5io9pWjgR8XoOPJ9t3G88uXbPs1M2rO5Xc+kSuJc3jr2ctkkn7Oi/lMGxOgjmfs9CqjPsy6cH7UumIiJeHSCobhnt7lx0GrbG5cXGWL2OzEqtYMcSQQfqfQSpzJ9jCC9yryWmk12C4NpY19Lyju+9no+1i5qOVDJIrMy9gTJgZXGThYGlbhViKvkHnpCDe5u1jxDPSrNR6kv5byCD5mNDIbw8Swp+JP7jjH5iutb0HI5GTfyc4REcx/ZO+LJoplP8i0111EB/i/EP03T9WV9PA9QGseKvsqYz9ZvQzL3wCdZLHKbx7lPkqdj0EOD0F1U1BLMfmbiUpu/Ymqk6cVjB5FeSj7tiCu1s/CeqB6f91WyEsiKlLf3BM2AOrsET5+hOBtF6b0ktY07HHVwc7LR6sfSSXP3Q05SGjuGWpvVLaXzbeccT324LsTHZVedb+/Hpp9ljquUeyhGbS8tBWLi0cyKRw5graOhzZtTvxPw5patNOFZ7896tlETTBzDnhHrMhxVoSnQ4Xzn6CpeY7QfGXdxZ7A0PBWLOVcNk+0kd1xTJs9wSmbDXOmNjMp1T8lRzaOmjBvo/Z6k4A4KrsQSH8DJ36qdfu5g5DrE3/WKkUGM9AgeDnG7cQ0i5V68tdObprbu6wtbeeI8g+bkV2aNnZFmm/ir8N7uBIJq23hNsDjWzb7TbcRXsnLfCrcOVEeFYhxEPlbRlRvTT/Z67xDlanwYp3CnoERUoTcWQbhc0iK+wgOQ+egHuwlLqKwyD/f5xJW7BJfZOkxrUY+cm8HhHXauvqlBjiEqO/bBTsNZf7l9dhovyryDMF+4VJpVoxS1sQOtfwi6vXZktJP3Ipht1tURHlTn2vgiR7M6GZigURHcC8GW86Quocl0QhbReKaHa1R90zN7lQ61O/J0uU+97rhyHmAlQmp1FM4nt7r6kdVzeg47nCr2QyIQjc1TqplBreDlHLYTy4EkfQ/Fmj5Jaw6i/JO95Z6r2/lzWoV+O3SKtKy7aC+eRHKmvmUrGIree7PnvQgRI3uGg+7NtisxDIhzsKHDoWUv6avbk+SH0BJhKSzzggtOL8ZpcCRptbpInJGR194DU549d7PBEbUiLShOzRv+OBu8YmOBjsG3Rsnpna5bvKVLrQErtJoAzYYXjadk+kGJxF8sl+dkHNubhlfaewmYoDHbUmXgPXsrRyX1PvMMMner8dBV5dwd5XSJ3gpmIphqF3JTn/xoViiapde/XQv+qyGRx+KuH+9koD4I0Wg/Ah3nG6Ug0h6zbnyUg7fPhFrLOxZXxD1dRtIImVMVeFgvFzQpzKbXZyxp7HxEHh3pTv3HkhxTwTa1tRqUVz6er7EDsWSD6v3EFd03Cmd5LSX2aVPEoiqLP7CcfE2wP2MugpBGgWjBschdrcPHYfWoeJga3H4212hd2BuvFPx1aGQ02UmZhc1lF0LU0ZrTXjTzQ1i5ygsYgvANgU/GCJXczTzpmD2WWXEYZaHzc7Qq6dZwyBSmUhSE9Uk080feQdTyGoFSQGvAyBO6MAW1zCkOfOEv9ogWzweUJr14lmKFAmjaiND9Iu8R1KFuAg00QEWEnv4rcZPW5dkJJgnHbBSJLlZ7auOUexRzH7ORaOQhj16UAFJiv6UMjKk/q172X2BD1AIYQn9yqSLKr+dzNJif3DIuwukpoANSeRVwcAg8p+KUfWds+TxDevpwF0Uayzadxwch44AOAv70ESJ2cfUCSXOPmb/5W4PRVUPFq0G1fBasCRp2TOhHL5cwfLK6JHLIN9K6Iw4MzSm4F8YQ8Yaun4aN01HZy+gxZpK/ehZryaiH6cShlPoNN9fyeBfqkUqK8U4VKaUTJugL40ZCDEp6UltkLTt/MMDA13q01hAMZUj3K27de9L0DeLGxZkrizUosFV1XqT3DkB1eJPB89ogupK2eTCh750ecrSRp/jz7Qwzehmtrk8hAJnhAOIlRUoNEwut0EhQxlBEtCZ6lsbqKTAtsmgwBBGmQ/SWoymc1cZE4eAsGVKrjOlW1liagG6KMSRDUv5JJLBxgkVUFTeDnyy1XmSAh7/+emMiei1CgGYtWynlKEwsDn5s97FaNu9ee/EFfNMjEsdzcpHL/ZcJtmNDu1PoGIgJ8yYL5mxfxJh0nmqLF2IZ9yMRcUPh7KEtk6qW8Kfh0VeBaL7QGpjD6Sc40k/I77l1x84ok7i7tQbNyDMMSkVuMUHBW3+2DVWhI5gk9YN6SbDoSi7hkgw02dR7ysKmxd/Id8ajL2AxuUSqNrgv7dLM4Uhgbzw59ojwefXemXYuXDiM8FV4aCLCXrlM4WTLTdXJLPQphCkXM07ZXsFVNtw6VjFGLJ43p139XLDZRBGQu7pRrBCP14UoHot36xsgGJ2hoE/tpWiAk3ck8AQPLysKUH9hrLUPN26IUriGguMErGWH4sVHFFXcgxmgIoeJr7p3xlWfTkD3OU5eZ6J9NVzt3SL/jNafnVWwyrlsMD9o/qg7u++J8VXyWpiNj7wn/E3kmLh+XANDwjZf1TD5a+f3Me/8O1xY8dm2JxzDopKUXugjotqzNFT5qMa5UqbAROXd7LyWG9RkbATSWUGPJ66S2y9t3i9rjD0vavOX9evleoFyDleE+AGuR7SLhftaNuuaUJKYQL8EjzcmllDsaTiZvJp9krgNMTEKU0HV7iEBKfqg7kXeAGWuoZPJSWon78yD1E1SgFW0crp5+3W5AFt6L3eRno57MdoQcPiztgeRoWhI8Htz3iz/zAlPhuMCn0fzxk0xaKLHgt2EoYxD7IXRptxIoRi+wLU90gvNKE9Li7rkNBA8QkIv6PasYRyK3Zgh3xMgJFvrQuWY099d3/AB0eSzZLWmd8o+QM3nuvp9D1mXd3R4U7TyfCc2aoawayi7iuIbnbuwNxiCNqRenqcTUjYVxlB7GEtDgfpWCTJxKS9HYiSy1CmYUMX7kTcrZ7LtH9ERThg7Xij0V7InqD0NYH0t5gwvX9EvgyqKPzfYdgQ4XdpO0JOvhih8JSWkDTcwz0qsEIRHuENakzq2sTydlG8qI1gTDhOOqxMjBfsKzx3pfsticepu9TjefYibNT2Lk+BBgc9Dz1JuzcXoEiMQp3vSeTx3c0ICp21JBxs/PW+cj8lF7Kp8G+4O5fBr6TF1OQwbk679R0aEzmYc/uWosFzLCokb1RuGyOKKLC1ODS2PTgaVjSlRCHsltX7e1WS+vgqdFPH0dkSeMBLrq0xWXsf5CiFoi9rY4GFqdwcdDDcCOHykFqEqrpN02htKL0Q3KEtYp8WBBo0HcVhoCLSdWvkLs1jigvbBkNzWCc/tNR6f2kza5es3SSgcrZtjVcVCmME6JX0SBujq59E3o9Xcz9ujEHabYtGGNrlMUM09105WP1dnRslUlgvzFUYFknH6cMKqvogzppNom8PuYWbE1NcXVowaqzIa9zAzOK143jIiZsSKaPnizt3cZ/VBQzaT/Oqqr2LubjiUfjj2GdGs4sdFy5EYxOuNl772yreI2AZR+dmrBKIflItY8LPEJhzMGvuLDSbVdxFKmawLT1A5jUpFF+vSkT55TpDue72eQaNU4Zov3RVzRh5ua/NAedwXqDk5Xw8gdyY3jHVF5kJTR2qFpTXwosv8wlYobmRfGpIJUz3qGGPS/U7z8R253YrJ7Ps0oixo7RUHdoMxUMd+gyDZGD6zgRDkVyUmfxzULT7KicftN9FFr/j7ri7ebLUu7qZhfdpf9Ejydap17Wq081AQ/VrE0+hyPyAprZQf/fLNqyCiJO9AKCb2uIeQQoL4vL06LQghbldZG+91K/+sTb16hfYnfrgNDjvOixpvJt69niEa4KUeqJEOhvhCv4d8NxtSrdcRBiVV+ebwG2FA7KyN7dvVPSPjBCBKXD2/K0oElEin0dkgYFGSRa1SZg+t31N9pPte3PfqMB9RAHkZ50bZNFVknsBJ+rOevX46kdjYTVe5b388oXp1kJbflJ/44onM+dk6+4oQ6kVF8CBmDqFVc5tmzPH4q3Q3+ey3Fj1h/bpMac3vvVj7DGBr6N2gCO/lX4T69e182Q7KMTJbIUdL27EssQQyegnscRNqODA1h01MrZeMSo8ensxCxaM6edEgTFsH0PVTp0L1Er5+JwDJsU5RvszAvH6QZ+XKJdJHGrFVsPcZelG3NClMuQAXktnrNipusvWR8ZvFjNvk8luOftvG1oux9wQeDzS6jbseuLSeJ5KxwahVpZUdRzMLgZePmA33a31IAWIWc59uIZ0aTN6mrSQQNJeYVamdNxN/Puy6SaXTNwk1H/BgafVo7nPTo28eDePXQdZeuNJS9KW4iZuECzn2/GYHP62ws+BCstlvyxY71DZr+6YMpxd6IkJwIMlQHeVsODWdUu3gzkA7TeXUDBJ6DGfkU7KxzdEdwNJ5srcF2JzI4hCTWIm0gCwbsYHjbjoqXqVJ0s82Jl0ViyXIIjf18alPiamxYXlFGeQ7mgraeIezGTQKEliCM+EhIfLx+8Q5uvPhedPaghpzMyAwpG+6MND5Q6rRPalgqCtXjpvGpwl//k8Sp2jXQTBzNRFwMQLW1OGGnxIVvOv6N7c5gKyCnUIXngahXesJNmGZbem5r+FVju+NiEfoYGuegkSfiss1Ps/Nw/JyNRJpvqDbfdpdB8xExhCilC70E0cvoFnQj6HI063nwxP+1Gbe5rBC+cDfSEJcfrWYF9erD0xjZSmU30fii2n6gLqoNXfUP9aUINm+BgXawQc5w3pKbu6vU5uSPEtu6c36BJH7wrm34aLO9slKeU2ND6Aer1xxbrLdYYwzQpCIz6vaBWv7KiByElp9v8f1cVIwTlNbtpvyKtZjQOTL3FPagJNPRR6HO7ZuDrDSgwGC9FuVu0SninfsQ91JiuPPB1JquG01yYwUsMKvuAP6xukH7W7L6O1iVe1Nhut1d4IlplCxc8yj64JvIC/8M9aDrj77ySydRxYk+zcLaNe1t6470q+j1BE7+lUf5QmOHnWYQp4JcPqH5VQRk6l4AK6KeB1Uk81XsSYZQsyuV5bVyY9DuQ3MvQyzeUhGhPmoSttnz+A9MGFZGxZxG3p46VaSegk0UNEQhnCYgKFcWHzfHpNoBGDPGa5rl+b2xiT7ZhJpzJA+Wg/7bKrKOrEVkG7TOZ6WK+a5TyAevcWMua0IW0bpL2OG+4DspjY6XZY+gs7/5hlKW1MzV3rd8rWluM4bOmmf+SM6VgGtj+KfhjSYXFSvYILb50mY7EjPKHncsQYAD+BCMQVMrt/A9ok3qSsVYW3JeZj7IexC+aOuGdMzEPnMPSe2oPiyNVQRLz0cPHu27YZyj5Dux2OMXDQGB+W6/rHSsUvH5GgCUIxqNhpTGUJP5m5dtt2ThV3/xp1GM2FfFtkwmRKvt2BhqvmaWHh83fryOmiK/NAlYMSAyxVyP3g9j+mM0zzya7bCyJ0Pwej+xlGyZEAM6FV3Qssg2rBbHF6/udLTbyFQvN1P4DTfe8Gh1gZNbZbKNcBzlx6ORQQcBuu4maXNTz3XJoXcAt26OdcJTbeQfjKVuX1R/LV+961FCAT+eaUIKqnsRagF4cqAO1Tr5aM9hPmHk3jyIJocq7ADlP7PZOnsAQJlKZYU8+x7tuYfOAJvgmXoxEW+rVXqvC0jX0dNWIuUaMZlFPoM2t17fmG1scekyCxyBOJKKPOcmT5R2dtJT0FePmqekbn23+O4alvEPEkneAUvcut/tCLLt1+UljTLZO+G22vLfLBmyJ6AoZxJ0y0TN4+OQo+dmy9tk16Yw3zl3wqyHNHZRcJrtKiPDcul1KlVohphbtbcTLE3CmV+CJ54FybB8g1/FL7EwyFtW6q1KN07nfdyoYGiHXLEg5yBrMZvM6eBN/Z9pITNu7CZr4TN3zRQURDCvxzjKNz5YaKTUyJCjvCMvJp7r9tkevrt4rZ6wwJpXHrkY/B1xIGwBqJE3fU6nmcin3Pys07hbm2u5qLUlVnSsQ3J0M2lmS13gCilEP4AlJCnvvLY031LBioA/AuNzBUNfep87aVE+v6c9YtJA+FU2TjEKn+rmbhs6MFbXRUxGQ64qC5/yM1Ti20rjwETl+Y6Ao4C3mf5ktS1H2G4tZDndnA/i8xmFM/3d60ge8Zu3m874X0gVzZ9oHC1lpk9Ywjl1oKJWtiN4uLjYqXYQVrdfFGv9YzTuRh4cAcnP9HphzpPlHOt2sOpGz35NYStsohWme5F/syaMWYw7PzzgneiM/7D7zbcY7HY5mBdimgHF9cMRVTZvq1X6xsHVPUyv2eSc9KeeRzK+Xyw+W5TZdKeVZsqNsJDRsVz95mJrcjyMPsx9JLxBmlVWZ46nmXrgNvE6pGuRFA//JiKObMY/MlUPNv9Yj9rDMliMnGDiciMoY7uYfuCZAxnUBuDvAVTsRRz+OPY3ZB+mbamUJJ//edeuCUJTNbF8NcQ3FOzMrckt6IWK6YfvwpBNFXMf3pXMhnRzuiBkJRYnXFoFwBodSTGljFlGiIxk3cCIMH7FNPxeqR3zfVvE/sQ6DgkXe9CB1K1PGs0qyWeezrXMX3Qrp8hi+C1ACox2wZgbK8HvDGVEZ0jap7zET70rGLMxt1oebJVfCVaXuHHhg+n1PLaGZjEJtX9hHVu14NoZO+r1RfMJFGnk/weFOkuPb0pUgWb1FPazIVKjlP7hVTpq3VGRf98ripMP8Mu6up1IahHFbbn9OxwRrEPvbn2vd/Qrxpdh/WdO8vkvd1kThywSk77YJj2WsJZjhU2WAp9krF7jMcXmXn0onKux89W3FTfsAo4+B1IXlPcqWkHa0N0mrRWNdsrYobzB6VwzWOtiIlNX99RuAcaJnLsJk5qreFMLYrhBSNCscl2alu12x96yRipLiwrYAWhyOymFbcRpq48w3WfX5CP6F+20VmGP41SdUtwnCOwSf+av9dSx4ZRhFlXmd40SZ1mutCN6369BnjzQN77iWYP+yCEVPGmylNClmSzNsDolryvoZX8qZqU3Lbr18UW/1ZYbT3r9xgDalJVpMoBUmKSJruDBuxSDJkLro3psXVTFbn0FrJ81ImsGvkdjNd4St+Ml2me4peW6eGnfvLP5X2gRDYzOHfbWZGsCj10q3/94Lsb5zgaREulUvsJMIH9cWaNMD07FudeRMZNI82vzifYTzduWGoOt52W1LVBTDz4yZJW3rDHOwENInmM45mds4r4gTiRdj8bM7fdwdxru/dJfgdKG2i47CftMiju+VircqaxerT3OR2+lwXu3l78YQzjGbJ5gwPx3L0HMwScOQ5urR+K+L7W10clSVREC8IJSs62UHjIm2E3vF50yxu5adQY2AG+A1w9wKdgvIC52iaH0OGlMhrL3+ndmigpIjANp/OkfImdy635obfCGVqQ0pujkPBEgFAE/oWyo/5KxSJOUoOcz4v9im9qK7dj7e9Kye/Tyh9Z5BKfRO9j4jadiLQFbMqprkleR82bXHvpNt7PmnxjxrW5NpCbAe1EU7ONEA49ld8cuXP1ZD3hV30Jry6e1Z0Fynq5UUFhWGe/3sOqWF6F5bGzAP3kaKifAJKcqjKC74PXuzAavHcJY4IkDr4eTRCQxYcSEdnQX2hUC4LggY2iSt4gtLIQHzMcBJf0RNplboALoVfU51xypPAcJffjKfgzCZx1Rtpd9zVWpbRU6PvVLz361OkvM5YmtY1NMmiX03yGVEhhO1Iv610bAVeFcHgW2xMU5+8vhS7DRPNWcl98vUpRdNTRqyb3nt/eOKuEcX6EKhEHAhgp4YWdy1/EExYZTGihSfRNSUmwp7TobBj7vp6cpC3zyUCfwMvSXCTzh6c1Bn3GJTLe3qVAtRQvvqUggWKUO9avmsimhxhjUZUyOEoJhR98fEg7T9lfUT3+RG2q5KnjmLsaH5wlEVOTTh+Mki2jbj5eAycpAFrccI9xiKm0/+ys+rF9zsj6MOeGutmyvoTSiy56/+NSDtkXHgPPnneX169LPIqtSu862tjMWYs2+576vdWLGUHk3VCBaxOfy3+1IhNsGbqhRttXGcRtG2X25TNXH7uvtTx/Qabp/LqLrJsg5Zg6D3RhHaghfCzSTrtBn/IQUzdQIuioLQlThjPg0ir8ALrq26mc60F40oUyV3dU8C2pWFjduj1v7GWGPnBKccs3JrEJVGCEeVcjdHloiLQlbNt4ha6aW9Zi89VMsTXaxXrvvaCzpP2yLB0fOinwNOh5PMNXvko2eHh1/XS4TCTu924OIS7uUmvDScQG4yauH8Ja98oIhWGPjuL19RRmcfSmBnalBhLURDfbiCRXnz5/pPUsehnezx3WRCTnm9wNwYx1wDJIp2oLsYWt4V9aW75X0iItpwQc3tYSzC1C0q6Ma/ULmaVsdtHCqACZZTC9OKxg+6zuU9iyqTKFXCB8RtJ1tWMrk1AIQme4CXGhv07uR700w7K5WsgGIpk9nCieRpS1s82lrcVEVKvXEmWtRtYgp/RofLX6ioKl9FlnEQAxQc0D061YmC1BxgAZhRs9oTihbZR1W0IyMcVghdK40eZPFyOtKUCv6aqcb4awTKpaU45ewG4u46mFrZzbr+7jZrG15TFPY93CuadclidE0jOIo0AZxfoVX/Y9Z+zul3kIITOT4CwE2rb5s6VxHl5R0cYMr2/4JqSe+vaU7N56SuwYPl5TCFgZmkjZn1uys33DPB+ZutXlGKvb+YbZhEGKMtCFKBEPTq2n7vDS+1oqTVkvyBkIvVNK098i+yPhae4U5MmK2EHamBszdrH4Dr7dG8V4Sy68eZE6wajw8dqA8kb+OWd0rHBADXnjvvVHXkF+0WovyLFbA43yInlWCJJZh7rJlbgBCu1A3/zFTGdi8YggzkOj8MLn8c010wz1n40aUeBerj0M3vOGGkJNO8Gm2r6U0V4Pov588tihmKlPPq0qdD6+8dLHXDwYWdvkBg9ar4u2mZ/jpQ8zt2cAEWmgw5xnMuWzgDAseOCj6c4wGbR8yreJawn+7l4GZ0Nt9Dbd2BtMtysdQo0WaDqY8DYdoP8VTl526eAB+gFJnVitFPnoJUS6V0lYMmThPVb7CvS0HszZGpl6Tzbb+Jb2VfjjPtxayRvXtaf61fEvkyoKSneuEp9BnL9Fb0LB/krM2LNUwogSTHvNgYT5ZvmRHyPpmAH3c5ibjyn+AdppBMAqYB5PutCUq/Dr6N0gEf7qQVtlOmKQ9XQMMIDhIHqsO/7Fg7l/Xcx+RFGGX7C0kgTHK3ocrBfs2ZSe5Am1/Glju6VUN4IkpV8Xs9BfRb2KvrDvaNHvin9vrqdFX7n4UAodWoYt2uFd+uHY6hXvapRViH9sIyERYPV1akBV9SuS+aWYJ4ywzk+1wxQmb7WSCS3n0KnfHwsddYIwCqj1z2I8cAbYj+FYdQScYCFLm7Pbz0xXY6bneXFRJjte8DX5+B09MH8OE2RUptC6MoxDqNF1H7U6BmWIuD6Tx9uN/0jLNssFkwsLScKqItV5ZdvcmqvlwuesFvD6o0nE65EETPOcNy4cKWRGnVadnznJroY0kCLY9kOC9PMfY9o6V3SxZhYfCbCrdJ6T+yUUdSkwHuYlIugqFpO/wY09euqyedQCha+QjyPZWSe8myOPcQNaNC4QR+0IvysuHXKewL4GKCnaME7Rn9ItTsVNNafAMY57IVuv3RvCNOVKKhx93Ez8qoShA2tjb5GXUraGMFsVKWFWAqmqkX8xl8ER2S2ViHR803qLBopyk74KNKDOtcrVW1aU8jrVysgtXLf0JfCYIvq0eTmhvZ6D4Mg20f9gzX69NnuLPl6w/nUzzYC7oWtYMV1ABL6EUfRaELmhrTqbjRRb3iGSaq8kD47hE2v1/HVQztPU3o4QHSa7LzjPAkaNiOEzmtvfHSeuD5PlTvJ2fHVbisUeRvxUQvxU4c3zSrJC5PLiTmajlynw80+L6yR1nvUd40UjHw6zP38Y5piGK6a7QvwWqGZBob7Jo/tkWmbqtQ9JICIFg9wGuQK0ss9o2od1l0apiFSqq6yXr+ujENWlqJ5xbkXFSxQ+5V5i2vPaPZD/Kp0pa44p4SgMYfm8jDl3oIm6c5HvlaFHRs7MV50c9Dc29W9xBw5XJQKXrGJXBEavos2RV33aBMmkZWXKp6DvFZP4mxRhOepXXiW/RM7b+JYblK1lZJ8dcZhgV49hxY1tJrM+6I009KRxHoKr3efKNphaWOi+3fRIzU52Ru2k3vzagkg+WcyNhv3dVoGYG/DJniCizuhXKv9sM4kkufOPThDGKI5dySkfeHZCdqZcrVsSGJhMro9EUByxxkHrZaEYDmPVwFRFfc5WYVH8qXRM0ZC3HD4Tqrwyu5s5RMwk58KXeAkV19+ScicS6rVpNn0IRTsQXy7xSn/kyM5ivj3y9hbxyDSkf8pHRPWV0A1LHldAci7WkDrSeP7pvemt1qXIpInWYjMBOUY5KUEF/ZCs2jy1QkVg1PaXBgM5/gKBYEPWyG2ouYzPjrlmJXdhUGo0BRgKH1EUZtab8pLIT7Aa74M4hrX8/FGlvr2Xp2Jb/Cjy4sGkFNP6Mn35NZIwlI0yo6Oxzk67OSwnStRBsNtK71XhDGxJoyphlcGGkaK4ddkUEx/GsNvCtQ70E/VkhBpjBH69ia6H4xNfnBBYThZWM1jD4QkSPEcBSa2pYmoOtfKvhx+wO9mEvFbalpxdGlhfPabMIFiwX3C2whAIf0TCaTlM6w7INynYHe+DPznCiJlkyqyuS2UJNL1/rYfOUAHUztrJispffFpwjYsiCDFdMaXe1eSq+vWTa1QjaJrQV/pQfQtY8sgMAWyepsgckOZKh7Hl5hotGhj3SMfkVlz9LKjTU7CEQ2va1VCq2RXk1v7e2xJgG6fjgB0fGOYTPxsUgoCGdqFF5qh9EhSnGY2IJW30bQFNLiOR+Zx2lqULiUe9zMXTkKXJjCkpk5f7Dg9nuL9zPIFQk462qS4/ri1zCsOTDGO3YIL+jIm5a2hv8zCs9M7bEsjauHlHKPgNBwpWwtv6wrz89Uf0VJPk5sudPhXaa+HpYTHoUu8OdbKLJqmoFMS06tMjHcvXLS9bfdLWRJ2f3fdvDueXFqdfYwiJwUvquYsQmHZ6Ky/F+yrwXaH086WVOGdfrGB6eD8481EStmRb7GwzsEitemmUEEnUXvePkrpCGNldYkYhtrDlm+W5rOsvzhfses8uR2u7KLV95p/qhWiGJ/DIRVplju4U4RbF9z6fMkobOS8RrzMjHiKmcK+RjaajnHPzP63oaU1jy5LXWxhIWxs7roOgG+rCfG6XSH4g9MQ7gfDLFKNd/y5a+r4nex8wOb3Sq/ZmRkOe5ANgOeztcbLlWin7riik1lsvFrw426f0FJThWFYJAcZEgwB9H4W71AwP6feYtMlotDOt2oMCk5jviDnENfpromY8Y7nYXr/icEfEyTxV7evW9RDsG/5YcnQuS6ZBK1/UT3RFUe0l8uWFn5uTD/ZD36QkwcgrjOtMofhvlTnSSsp4tuwtAqzKZx3ptRgIb09ztFJQgFM1lD5lKfa9jR11u1s18W0Clkwa3Q6xUmxZwjqOx09YP1mhXQhqXs+XiquxN6cLG8MZkZul0504YvuXNWMIKSDR0ojwDgZDlA62Ert9taXA9KfluGl28+8WerOiTdtI7EeYcVJ+Z6Tf8MpllNEojkz2Eq4OaNy7dTJxn2O0Fs4LQdSBYqPNj4z/zAvTnX+hnNehu4vSd5FCFwkP+VVBy3Jm+U1P31QNvTDlt25zIqTrbu6VUPR+3dLMJYiPyExQWwvat/1Mo8eQsQvKhATUQkLs/YLdLPy8hgKU6wlMdqyX/mHPIMa5ES9UXkT5BOMi1dlwQ7ZQyx1IPF4RhwsVrJPRhqhZJcoTpwoXK2S71B+8iJGicVQ7WoUeICMVnA9uakSyiUa+Xiz5AFO2hSm8rkhAoU1F33AQibxHq5Pnnse7YsRZQm+3cLFGuB257cR4XxUH/JRFkUI8Efoh/hKR8kpiqBsmhqbQ0SpflgC3YkEi1brJUS0QMpyv/TKnW5N+rfiExfCd3GvpL5db2hsIffIax4kGMdecIq/2WwOmCVoh8kBP6Bv14OYEbUeHDYiDzt6qK84SLEA6KMa1Acn7aEJ8XFlK9BzJ4F/p82pFy9HaSTj5B2wn7drYTGeL8szFPOUjcLvFgZ5+w+HhslN79JarxfSwnnPO5P7JCPrrEz7KkR73W2r3a3TvJszRBTyoakJBTtlnpbG0fZZEPUexjJXqOG3j9/5lT3NfPacYaY8fCVyqu93iKI2kbHujWQ55y+vJNI9/SVKs6dhPwdShuZxrFaF1ErdFHvyBpO4Epf3JMjpgZffDTLC7ui5iorXvVRymGIEiEWTdfkYJQ7f15LVsfUgbKUPXDW7tyRq3JIdkPmVgT0ZRrN3YXFmDH7Lsimljm3akXklN0TvsxjiFPWTGdXRvmwlRIoaXLBoJwuU3AaTPXylIOTkPMLwxkoLpzWEUmbcvplsXkk/vD00saMcgiUnFHG0ALloV0oR0eand5l2RfdXUTIvNxqDMafCO05V8h+nWWTUJTSwQ08ZBxdXexwr1SYy7N8FnIQPfD9W/1/+TYRJggJCT/oIHf24Wna8jQ91CRI8RqzzLHUbqeMC9dmgSFU/qXcoaFuuD61ag8te04iir8BBOoXghH8abrMB5gCo6y3tCZtlnMeE3wwMfUAD+p77rp613RC5nGQ2LtLPknFzDlwfv+p4Qwvl4oetaSHuiAmRFcYm3nP2/ki+LMmNfLr4FitOlzssgkFnnd2VGjlW/NygaUaefK5NA7O63XllKxf6gNWUKZ2CXK0WPQqLNqC8gsoEaIBcW2x78/I6898MrHNPISd2A2+hE+zAZuiSbRBXAmxEP9BjpSE9YdaMRf5OR9pBcWW5Erx4x0ooryNsrnnrj+FJX/QiOb+MfpmsynAxtyhvw6ai9b18v9leI2ks+wUJ/w0nseX/psX5XAvuyg7QvZUZPiio7xIx5wq3oY0jZ5LTMyQk7IoWloTK9byGtJaEd0vxnGWtgudiTCTwvSWBMJtFHRxrXHM+NkD4OwwzH4c9vhas+ub1G6TKWCLSAF3qUYDg5c5Bg6iy7qMhHH+dBJhgkdlfajSA4X/eRfj9jzSa9Nzj8DZu0g/rJ9EQCP36c3eIVeXI9FsdRAnAeMegbjbxebIt45oOXAherv1hGdP2D6F71llSybDNZiuNFZLvazSB16zMb1yFDjZ7X8MwOxeJiZTb99LLFZnYc37wiMgl5a7ibNWOCLzHWjYmyp3o7LO7uX2llKCd1tSZ8GPOBOZVvi9mNjlY3UKkr1DcbDUN3Qrs8YBGzVMYgJ5q5Ue1iSt6t37M+JEiaDbq5YNnjZF0Ky0tQZVO5i7WXnZiI0MiqmAKaO/OVomh2ZEC+TELzJ0xkM40ukCG52aGOWB1v4lRIRB53CGcdq9nucAo0d8H8JB+1+ooNvsVGk1viIW2JNu0VoFwGSuR9yGNcChonH1/jp/NNSftXX6ZxIobc8o6nQCNMSlGK8ZtwHA0ZqQ4GU286eaTM9Wu/3npRwUMdyo3hxI2mwuTE7kYvfO2rud5/UezhE2AJ8ZQ+xWhKhXtmCzZXtgICLrhRLocyuCUGAtmsMYFqfHueRcOsv0orY/xGFrZoUWVtoYfjwuD29cPjHjO1pHWTHaFQGRv/QrNv2JtP2w0I0Akel5pPuEaJnAWD3oppYb3ymDwklYk3naCCeyAq6hYS4+92BEh1ioxbFfumPrl+rowmv0ErqMy+PC49QGqYPJLFNT7mvf5FhFLiCatSkkmJzqh4wBjcWl6mmho03UL/Pn+qz77/lY/uZ9q37t03EElhhwJbIhqHAw1TfRTSWG5MGH03+aN0ep0po6VX7iSeI89TMS4wRI8xnxXx3kbRICG32D50HVBViAKzbomdTy+eOlxJvN9UARGRJ+FOLfMD6mmq1oCq7Rz8wVQI1CC6Qx7KUbScCVzfjch6+RcG+65cx9iz2lyfizQQ/BtzVuXz+/CDN32dn5QSKn9BuSfYXNByMmZcCzduFCIyDlkyLi+MEFUsMnjq9dYH/vkAfyGlt8kw2lnj5OhmnMjpPQ5zuVNW0fn5F8Ktgx07mHfhLPuhklE8aNnwgZW1apcPPlAAAnTyoEwanrTdLwpP1+4EWFifGzmBDvcgG/cvlM0etXYFJPaAauRNKkjlqeJp904mfRkiUEq2r0BqU90lQ1WtulG5LTI9pM/x5FEzb99a6y3iHeDBqcNIhvHaxiHnCNbKbPjxz3rHrGOOs9jy3lP6KwsKVhsKs6BWRpzc4brl7Szvi8uiaq4YHVIWsdwgCyv4VcluNMD4xQqr0XFWvdOH9UFBkn2Deyarb4EYPkp5HDZNALowf4IPdeKQTZEDIZCKjm3H+O0TQdzyFqB7PmjO881nrFWEXhPZsA5TjXQT8aiW12dP5FhXR+kwZz73bCbpbeUqcIwyEFHlQPWc3mPd1+xEScB5b8T7+sXJsGcAL3QaiR82nFHAU2rd0KFBcM+PfznzXf72dFt1Ze5hKy4nBTGW1aU7l9f4RHgHPSKz9ZBzyvI1ZxVjeB8HkvDrw4hMBxRhY6rmFDWQ7JcDO21RnP8XYjadydt0kl1J2OnFsG84C+gUR5owC6YcPtd/OxqbznG/o3I7zZ1Tr5b/wMgIASmSYEsyWTGEkG8Ly9JPCu9Bu1CiCFqpKeAVGnrCEdj1YfGj9b7ZBsR8oe/EqHzvnNG/xfeO3W73WXObRTudSA3pG5BAZac/HBJpu5z8UgrZVemND2IP9nxWcKXPZ3m9vvuL2GFoQe36PTxjN3a1+5JgM3ZEr8lUml8XpNe/7HsTmBF01zKrBI7pKMc9Dm8r73aOHgqYf90JmXgpBLkFNQ3LXvyPrkK+cecBiZ5fjQIb0o5QCqgrQ3crrJciNUD+uuwsf9XJsg/Sm4s0OarDaog0C+CFiLyOy5o9N2PKvYmhxvap/Z+UtYNU5Xt96qSFV2StOazrHViZJkpQSVnMTcPOiNnvzDNXE/UWpgHQBsU7T1U9BdP2/9qgbJ1NrgB8k9hFF7KcPHt/wUkQAVemDxz2DSHDH+flWaWGpQ0KzTLPjfxj2ywOLhiLlxcDu6mRE0TZRMbV19yfwFar88WDPCWiPJ7IX7NeV6d22IHoX9sacZ7kXyeak/XWYIB1q7FlE7xXOazzszZ2qeWXLBNBT4urGXzp4V4bcr0HQ3Yk76vU10jpT5AceyVO67g+EthFl6uARBrLm2Y9zY2AGGtjY1o6OJozj6N8BXJyxW1w2C/UdkwTDFKDWIKPRFkNhPibyequRIOE6teVGgJfIiG7l/hEAwpzVMbnyw0ckK33hVDKy3aG+vp1ytyobHWMj9qObmZ23J0EOZUTHZF4CYieYicgRiKamXQNcfAUgUme59GiCJzOksshet8szugKlVRGRJivoX3xcd5/ae0belIIDoHnsYMkuq7vCv3vlRGpZ3GrtfRl0Lcuf1EkEOyYGNnvm4g4wNKCYOG6KoqFgifrcbchR3PJTtC/DCJAcrs56h8s42PyhA15AstQkNk+hUhxIfs+v+eP6M58teiptaxytr5KdIt6LrdkZ+fJkrmgp/JmAJOnYr+cT7hwA9Q/vjTBKg0f05BlZs9U5x05hsHGeCaJYcGHKsIpKp2wKOzovh8R/cvj/eiYR79ZWVprxKLkdB5CrqptueGQ/k/5TJph5qabnyzQBAyTwlTjSKoM+2B9mhDmWAFMgjS+qSLQukDh7NpJ1u8RUmStKhbUVAb2qamkQDnW1knz5HqA9Te1jOsisYSK+Em55SMngqaWrMdhViS/TfB0BrPoVWFZdY3Kx1Pv2WSCGsA56YfmtjE9k/1v+pDOwp8AV4IgsDiNCIKbIgZIiJBx43CeGAukQBWYSHN+k5We+hLjPMUy7DDrt9MlGyMFkRHnmESmkNOdYsXBByihW3qG6QC4sO25DN38XndGZ62abVGnay1g56etmo+/TMABKLX9h+lBoH1ezxSuoN3pzAxDG2RuHBnnDjPjm009erNjIWDJN99zhRcKUb6aVI22VO/9Q/3PNEHbqoQ1Y6B5t9V+AA7wgvl7v5/by07CalHTg0UzCpPnpwnWsMzHDjFQKgMBS3aItU9hwWmvsdHhcwr5uL69WxRQfht7zoRxRB/g4FUjmFgD63oYxaLj6upI8fDkXSxuVZneg6tAftiY2r2EuQNvCVO3PS+JCuIn7EH3BXuVKF4evL/VlAxDJhAOyfcQ14blLwsaH98yE+m8I0eASroOIcmHEOn/YDTLx9WaWuZo2Ed4Y4pba0ZnyQryJHL9QO5dDQvZjMaqwxmyFDcH6p8V3Df5jzR72AnYqxdU7hBIvVTAsJ+KDjnQUCGjkokF8Ysk1Qs6qEFMMKbfVj9/f6e/KB8GF9THPx+LqBD6sFSi9gCJi/5taX6ZAaYfYLi2J8gMr2ZxPugK0GmQ8BiTHl2VLMWccrTMIJWNLMGiXMslLanYS/hFGk1b/YWcKbbK6Mn2OKD9pmZ8SQd/GhHCiTqhscmeBLE9XT/eM4R86bMHb7W1wcA3qM/HTMyYxzgkaUbXz7TujDX6uxv6FmoIi4/rnXcPow713yD9wcMHLL+CXucbh1QaYp9ozWuZhnDBXbkBgvIgHheTRUzycYWsZVJrk4pRuYwqeGqIiYpgag2VnYEQTBnXoufPDKwLJemXN8GGrZHeTvJV6pQn0fWxjQfL87YcXlHSgFEKBTcA9cRYv7Bj0Yf+Jblk57ToUadlkuudIBmPkjjUrrLloil5FJUnGVMqrQnJEEjm0fkZZdICkjtGWaUAHjy/C01ybEhi+ccGpr7lUQNelTd8hgyjyGtMPyXf5PB/t/Ua+PxIK64VkoF9VM9MzahE/ayEoRLeEuODWAsVEtRWj6jP9w5Kqj7sb/CbhZbQKqRemResg/JBs1QYXv9LjqHyzbA2NxznC02ZyBiiSoeebOOJfmC4vWUpHhfhDF0BPedZ0+acieqTT0KCjw6PfDwxL+n5F/dojULenhuhLdZbRG1frv/Z8XCXHXqDOkpU9Mw8wvtu43kJVuE+Aj5MaVLdNafbxLAg/4COSv+ht9PNMAynH9n3SWG9Dna2LJqieNcwPnY9eCMRIZUDmpRMVjrIDN3hzAJGutDGPJp5uU+oZDTeA7kgWRAGMiL7A89xMlwWt47cV1+Gae+15Mu5FZgALNk/+VTM2HKSplLs5g/Sa1aX9R6l2KmosrNFoTwwZ2Qz3v+M9qIgKMEelgqjCOSp4Lv5BXRY166zmpOYcXkx6Mq754ZoqSXjjBALFsSDRkNtxs2rup3TUAs++DpAVUnKunF4JUKkb1oHfAnel/NE5LCNw5ANyhn/ntdyyGhtp+j2JtRp6gxxHohrQrL8pPiG9f8VueuVTUnCChid1BNYQaZuvkU8fs+gsGN/x6Fnxmtyngmexeaz5Si23IASQDev2lwmQ5NwqzuTxK+y2oibKbz2zhpJAiS6PY4Xrm2hfL4/l3UJNJD6l/BsP3pzz0vs/5hqBw8Ow5bUq3dR0CBykqyjGeXUapfhLYh7AgNHBLBuKxLRKeBZkqigO1TdTI3tvSazCHN7gQ5Ly1y8QGutsSQkryb+SYrDX08nQw2L3CaLbs+SahpWLqJCxKYKum02RVKPTdOYLO0apBOE10jUxPPH9eDzTExzr46HZG4dK1W3hljskpuFpOI06NPacWg3RvhulPgP3PwzzOeogFgtz0Ckh3gpBSqWu1gK4R91MG6utqeWomoDVYLNn7A/3dy599Kk4EXT6TDLIJd5oVBlkyEDdRYdcKUsQzCf0lCamZqKjSA3THGyrEt7lDA0QdJgGL0p33VzBJXNWLqsFksOpvhQbz2WUDk22+gER7ltxc0Rs6TQQDsHdZ5F1PAnqaVZ28wVezCPijchxqbqnbvYlwTHMjD2LaMfss/cRkzGMAtz7UvOBRwhqxFVk6VrolqP/FnjVShP8W5H9t8EkK18MzUKumjpuC8S9p5YFMJ2Oe+A6OoseEMWtFyyiONSTa9yMiT2aovFQwMD2QXu7nCIefpDlqoaOY0WxjNvLQ/+aTJy9BwCKFRhL59IBH4BmoGRQOyzX1/Up8vHjBzIh/6kFzCoMECKKFq8y/VFSF9JnBVzcjTMlurdQwcjs0axxy/R6BbAbrrJkg/QwqqiG4cDmGZaw1lB98qAMKLU6Ww4vavRPCh3YRncd3Jl5T72vH3eec6gMVLSys8MmqyCUPA+4Ky1EiKUPBb6EYmmoJrJHUbO+2gn60AM7dc5S1r52A9qJRj2n6kkLgaYAdSyOUYNtslVJrmtAJNhYEI/2MogkTVPTYdLt7EyAOtTjvjZ41GUAsdTaca6OpwceJCwCuFY/yJvBiiPmY+X6uyyB9P7SsHZE1sdEJg7QUukHySlJi4fqKwYMk5Ozi9H/sp8+9NuaRbNsWmUcSQk1AJEPNKyzqFd39/q72SnUaY4b+PBYTH/Kg90BWdVdnfjnVT02PA+Ixw3+heW9+IKL+srXparFCY80JRrNJEgWRjNcJ+mrlAmn/18rClfDkZnV25WEo/A8Fts2k4uYmzeY96yYcD/b57ZMyjk4UcaGWXQURrmlyvl/ux2YYUNI1hxprbPySVau9onlweKAFiIAn+9uz6SCiC+8AIkXAqQG7KSDBP8Kr08hpGXxHUXtq6ussEp5PWFyBzCJT05LrZj9iqYFhy4HuqoxF2PBECCcNbt3gH6ZVor3JZ3Osg2PkNLCr+pMD1DXUZVNBU53qEzGlJ8Bru+sQCmoubp/FwbU1ianw0g5jGIdAmNeVShzxX7k531VKQkzQtI9GxAGzI2c3he6SbutFQGzbkbBNfwj4blY9Az06JGtyOb/wwazgPTrGixL6205M0I3UkgsgPh3bowgOpNWYIwlx2vRzrOf8+NcHeuGYCtt+9mXNORLcBExZqWaDlRcgq2xNmw+vYKbgslACiMTZPS87XEtgeoKWL9rOqV8+FJUgfoz9A4O0Zb1USe79SQiwmkIKHRJ+DgM/va+vt9pQH4eaTy+THoQpYzVZo/yByCr3/7RbgL2t8dPXFmcc1I1+pPwdVuPrfsTzAavJFK8ESigQYrO4rXCNOS64utAHPF/380EVvs7QlIqR3YGGs68DEXjv/S0ZxMeSXiaOV1J7XDyfycjQkSw4UkumNsdNoM6fTb4FBMOTTHtAmz2oK8yxmNy9y3dELoEEWnwKAcQd6NidbJV9gOB8TKSkR38QG1SDs7JJT3doyxHrhpAjEpcg6w1nEQjcE7fdc8oFS5qd42BvYtt1tWlOIigEBDLT0v3jMwjIPf3VbvrW2XuuCWmb3HKQaRW+rAf/iI8hozi+EQGE46SGl8TqwAXNNtl/OjUSB5kYANm4X1/33lZntGT4YuVFV1CbyVum/sfu3+E4MWoRosyAjhqkgtnj+zVhl307prTJrszhUzr7caWOM03e69FhRq2eFGbD3gUgr346o475IUQEN6o7m4ZTihyPX0iogteUn8zGgJQc8K13Xi44Z06woCws7R1a9TD4bDLFgaDkKyPR2Dk58XJNTQA7+1ncwwsGSs17T//pptS51lCIiK0wS+iT5YUWYgJA0h2PTfQJ8utqGxoPc1aLw/FQrQT1yLZ4Qm7aoJ7viw77efi+gny4PtvjspzVjuyDEycgcBAyoLcVExZAID/fz111Nr33pePbuIELZwyT/l7ANKYIss3UpIXDRrKQLZIC4F8Nn6hlz/33YmXjg+v4e++gr0snSJ4aqLFeAHFSztfaMuDJRiHbnpY+X4pH5K91A/9BFg2VmgyhBp+s0IJXygk1ZScibPdgkkTkQMiu+t2mWOHnGPh7wrBzp5IIsYiEo+dgHwKoEcawTVXZFvxigAxI9wAJiW9ntUGgnTc88tw4XJjRREfBwrfTuIaF713lcOa5xB5EmM2xetvXdLqOvCtkuCDY/9oYb6T0EGJ8OcLQEhXHkLgkiYCpvcqqrFS8hxCzBiYap6/jX22RxywOvl/5e7wrLJ3c1JZjbeKiY1ZMOlrtBpeiCcXIcf31W8yAlHyDY1baordr09+/RNR7byLyUIkXQvF7iilJ9PMfKQ+OnEVYoc/3YT7d22o49N9UZ4srsHbL5Do3HoFf8k8Tb6nIX8OdNaxaDc7f2wsZ9oDRUCBiMHu2b05mbu4W+SlUgNz0Ea/AuHltaef+CxI/h0OxCn0erTzAIiCU8AXitmXJ1fVAhce07rFniwP8tCulMfR7Lms4hBV/bYTM8oLmoCdCpy5qp9c1paTTpQHBGRoEQSe+R6xu9/7KKfSOfEZxk3AGJ2TVoai8k1BC4dqqNbF4pafbYE2LksRVz/Au+BSMqHknREytZyUXbDl5HDFZSVYrNv7alpILpuwNv7ePd0SIGl95lrR7NuCIPm0w/aAz1ubzmDIVhke5rdCMaXC1xKu3gY5JlAvNyH68v9JK8vlJpqq/7IFSwZUmMVFNHimVptoDAw7+pajT5KoVLlazUHXyDvPSjodljsrNjYWudqaAeO71L0Wl99iugT4pt1lRwrz5ozHOrOQmTKNMvPmD/VoCJlyR+DkLB2wBe89OQa7vvAMywLrh69z2HZaJyamhbu1nrp9t7f8lM8rJu+uXtQAxk2LN3g5LJ9gRAguNuzF5lAvXo5/BhFLZKc0PooOoT+8sly/Cdz1V0T35qofuGKgfx3hyZOJdCxz3ZCwy4pjFwtnTVilhTE44UHf0F5QhP22uQfe01IFIkuGcMU9oKYp5PoODLLP4WrKdzG+q+q7VOSzTWgvgO/r7s5GHsH6QGMyReq2ZxSAUZqUH6NqqmBiJ7lAVHIc0hgpmC5SeK7mj3UUVxFU2szipymxEpjpQ4yog0bEAROYJ/Z3e6cx67pZDnp6oci4i0bYfLicuyYL+HuDp36HQVH1WZ1UwxGtASayHDAZbxkgZojEo2z+BdxfTonnzKRkluap1qnj89Zpucc0a4AItx8wnjNHjN65A2f3tVY8xFBUB0yN1SmXx0iu60rRz1pGzu7gxArR7o/DMIl/fFcBrHt9Ttqs2/JtD1womMhmJPUFM9fKBBKy0hO0eRsABFRhD5bAd2c76+nW0Kgveut3tniOlK+73ZOJYgsWE4/JMelwta78G5wfTCXb7haeLzk3uOrIXcT+mQLFpbNMvHmaD8Tg/gE4HROZ6TGSLJNWpJk/dSc2WEmuPFfjYjLvmRQF1/nO1WB9tPBWP63nlR67uToZM9EtbaOBg8DLlHPMlkDio/DOTVsNFtryOVDb9byvw03hM7mlDsdHt/c3mcJuznx8NcpXCAESoYDV9t9AAgt62W//uBv65t4GefrhvOOfcVal+LNZ6sV2eH0KhOpZI6UI9QMm3OId0hjfuCSMhVrtWHcuKSfZFJ1phE0fVwst8wAJMW7wpSx5RUDtMiQovFa3XkMsyZV4lMRNlYbSYgpl6ThGvA1bQcQUknKdmc+jI6FM6xdDuvrbLjvLkemD6JtsNuRyVA/Ai+YM2Pi4JUHwRoY/fE4KEEUGJe37wWVCfoqb9wi+dfaIbjbNFjxit+0Oy18mNukWt0NjOH1cLdTUObhbb8Lv/wpZw0fA+1sbDPjCqM1m+coloxnk5YrWMbcWT6/WDMXbTZ884MSyaz0IVyBRGInRStfpxrXwf9IYXJDM4Y9VTr840ya4syi1qyBjCfZ3BNQ4C3McD+ZJ8L+jLt9GFIDuKVcFMpYwc1zbsmF/eD7JOgLilrQFuYOjGDU9lg4yuGO4wt2yOPf8VbAf3GsmrwYjBrEtZVQjc37b64RbmwojRVb7UgJtLN7D6IBR7f4pHm8Rxqab4tVGyx1zWnpwLxlbTfcC3ju7USqMmDeweiKG5nfOvavJ9JhccXZFGzLzXSaUTNvCHa7Qk1qMOsgpnue4AwvNHdsqBQXKkHGDHL4Sc0pxcviu9OcIrnFXHG8mGdTVute8fH+gRbd/iBiQtnK0GNP4fuhYd+ieb9ia5RlnR7RUPYDOvlZYy1QizmPFFJfwL1NZHlMiMeqvg2zBcpOGbYgNWBPX3s7xIX3SlaYIZKJfRc2jvFQ0/Ov578viOA9vWynPLJABM8sbGC/yHLzJoatgQKTciVLAaWZU6rfKHuWon/EvOIpgqdNw4ea04GHcE06+tS9Feeksf3tUPhnKefFVStODn2L/OSqi0DpT2nmoR8odn73KYeXHl5X3oSfw9NgNUOg8lLbCWXcpkB0etkFUU1/LeK3Y6b6okUD7Okjd2YO31KFp/Nr+FueQKi/8IojyXbs/Zvtnsq0rQJTdsBDD9f8NHt1/f8Lc9+kEHhJnwq32AZgB2TmkBQfaVhrndboIoxhoTvvZ6TGjWvaOi13ND+rNUVfFFoebzO9M+TbzwQ72876IJghjKDMNqgH6miEzzzHfsiWn2toxtcd3TlXZ2r+eaZGDH6N8XA3ujukM35U4B2YwqFvAsqJGIySo8t1LmCPHpAt1ip8i8+yoI30cLdr8mA5j3JoBunCYmwD0iz2YkmQPD1yavh1pisCAk7+moHvtlZY7nIgW906g3zSJXJ2mcLc4Hbn3MNHBOOqHJXGiVg+qwX0knGQsMkbyylhPIxSKbTD0TMCQvGPyuow9BuakdP3d0sTAsgGLmivRI3/EAen1DRgC+fs76dKARDeMWoWuTiH2bgUQJw679IRo1SFWTcAia0OmVFC1BaMgKL3H3bdkLvLqDtbOoscrJDLLt4wKX/HNcg53JJ9/b6++MyDLO0a/z9+9DBzjROPVkqR3DPRuQvFa0h0nG/KFJnttud+CTph72HF5IIqDgwupnTdWhvEGGIbEi/MsqI2ZqcBNdLlRQp46VzpG/2fu0zwhBQSGQ5axR0JyCeLgEM2FeFGRkQK18jszsUfvkRZZlNuLT2FX7U65vFRrsE9o8+pWhmOOL2qUlM2ANUgmGspYzFAptR2vqDA8FxJIq7uETV3rk5Q5oJ6Z5JNQfqqb6K/i6PShS7AOW7P8Wyv3nynr2B1BjcgCGajtsu6zxm2TzOWShyXvEyK+F0Jse1ODOEJ2wp+na4fsYmw8FKKcTmQsWZF01TlTtZqCrj8m6Kjj5dgBLB7G35d+FCA4ijl49ITMNi4DJJqoPUp9W7hIUtRj+cycUIeDfKAIXL/00TJNL5zTH1VU8+opwkISqWy5iOmAcNJk3Ps7bPK3ISW5I6vsEG1XrtI+4t865lHg2+/RTY1OrEmb4LOSXunYPKR0sZuXDqX0s9+aTM0UK/WtACy9LxJdPzivmqH/BajvTfqVkIRI9eNWJWKvrxRF6alyITENM+7uGY4Y8FMf2WCEE/rYg1S++0r8deVUe1yWoV4vkZ913byqsErTg+09S1o78afmpaODTy1+Awys277hCEpLgXjB4tdpMY/ae2RQQSwzA8HF8nEto0RuW7ct9exTdmd8xbvGTjBNBmEHDlEw0PmJv4doZAAYuJaQF2kZe+LMDYievsfOuFQdEfD6v2jzzuMI+SU3sZK0fYJMK7urU4UsW7makxEN0R0p1i0vu+XnPEnMkODL90NMvJqFQzHd2JHEFFkRn0IQj1KUAeAXoXNJY33ddN6QP1kcKkUflZVHPg9/BDKoQPOBKNlsbkOAu3DPdnvk3N0MpVPQbuAjZ13/NS02KFhhBsQKkliowIt34Mydk+9zSTmNu2wvPiSv5jv/TfBR6JlYucAQFksip0ym07k7p8tKhWU85A5JmMf3FJzUrfk8U0ci9aD/14Vzrbg27WB/dtWb3yXNQuJPvYq5YxsCQhPUgn4bC6jw7LvSNExydj8pMFayc2w59zxZsrKN7Dl4T9+TTqZIShC+QyiTUBycJHipEqbgxu33F/CVYFOcHdRc25YgV97EE8cStByLSN1cz1Se1Py+308lCiUI9N8jshGDhMipdPU1SxA7mESicBdoESRHYZBv15Ud7YLRPFXoAVLkUDHY9LQDl0+dIy8fwS2e6T+q2dHBhzO4/PCaHLuiXEy5pKIeSRgjhBjef/NgrNm1MpOJ7xdxoKhLGm5dQdd1AOgats/Dsa/yz3j9f0xgEIbrNnmm3hK0hgPIKD5ei6UpaApi+9WEdW4qsOV1iWyzOLZEdNda+nLIqIgq+4DTmn6lQvbRxliNc4B8KUJ+yRTnLJeBhHPyKbzrTVWMgOZ+C46cJlFB2UW5SBpYtICWUfUrD3JzLOwhHDsCCRd1GO7QTOA7KcuETJU10kNNxSef2tLN+FB6/jNg5a9WPNh7QsuWJPim4JDecIIMA+o5V+pHStVck3FyYLxxVTfw8Z/rjh3NzS7hiW3843Z3m5PLzdCrV8ltjuolLDILZB0KCAUIum40hnGqKeXm4HiZlth6dscU5BtDMBAEqBuQPPwuRLAoHIc3ELXWFYYW8u7BNd9xJVeHHW+BepLwNxZrFy89QUav5ehTxyz6/iLC8OeUq2yayp1rA91GT0tL3IpVg4M0wy6NKuIMh6qx1p4m63dpnw7FvW0/iROOJcXracUuCFKBJOkCYqo2VoY3acPy+I5j8Zsm96qyY2EH7ME5FHeM6T3wlLYdI70PfyG52FgL7xZVxg/t90Mz6s9zDglSuLjonuuZCmO9/oVD22YNei2B/aKapzupBdwPeuFrfWEyEVWXZhH+lg8HT7InuzdUAZqtd9mVURxE7oJgGCyc5WTWcgfnAucxvvJziOlmXDlP/6o4E8KAXBGxBaqxORA5rx9bNFR5rNRTLHuY6ynP8No2fDCJl7ecInbKVc1mnKkilprBIxGn3yZo/FkYHgKObSDDFLqRIPJ+mQWVBa9mpHTC4RHyC499Q7s/DQfXzlped9gtvXDTqgC+YL15jxZGoQ6UawKLPDkDVo6Llt6Y6wfLzW3MlwOzjTyneFZisDuWkB0HZh/ASKCHgL5SC9tX4AQUy0bOwlbOIDR8W8MdhMeZ6LUt6nXsROuKmxIoe+lLKeehRzU/Ce2YaJm30ACtm3HwtYCFWtrC8zd29lKdifLixQGreqp4AWFAFUOMCQqhp9HwmGpTFXxLE1mW8fjPhp46GwuJU/WcBJ2Q7Tksx5iwxW7V6raSkUv/Gt/ZMHseZolEw0b+TUw5s+tCTz5n++yWUQkag6JId0CsraJ41M3W9rnbKYRiPJxKJzBaUqIUKxonltTtGQNa6B5SAndVfSDaA8qp568WTzrBOBGWLCWhaZxAx4niNe1D2wvfAl50GBLTlGFQ9QfHYtTfwzQTPOwoW2grPvpLyfxG6H0zeQzwdxBUTC6+dmzkYNAMD3WAspvyy+B5bc9318Brgcob9jRBHeFPhRJIE0GoHql49vRFAulA6AqdNKa4CulcWXT8okBk4jMI2USoq7hDkcEak7GJKmw/5ukCshVd7ZwOFhDsUHVbwXUG/ol2Kyt9uoUp6JiZhiu7kRed5UN2B3ssHOKHQcUb6narzjHG2b0fffp8yTaKZnQp1fshlWcKviySA7JGFcCNVcdywFXpHAHW1ADhqtwCrvkQZSOZwwYZhKFZtBEa1JI2NMIbHDwMpbefFKmObwnRJ09fkIIgfrnHfoRNuHgRIsclUx8rTxn0NJW3U6wqc83bFFxUJxz0hq7ARFt3TsXMp9Wb2cSIK0wGsfcQaIws7u0wq+1BlParuAOwME0EYEKv5Sk4A77qore5kIpbmr/2noCNPz2UL0CsQqxzefkFEwx2HAatxJY2aJ+vaXSTdxqvX8XWaEJW8MDXeyTcAN1DCi0SXKguaMrRNepX4IFW/sOfCcmPQTZTY8W9r2AAMKdPeqU+Ib3lYkf9yTimKw69dXthBnATly7ttZ9nA1pD2Qs8HMEi1f/4fbegxuGmaIMykowlW8BBI3EuGZ9Q5FravUtVv56iyKYU5Jt8rWnrhorW+XmnMLll8C1MnTsuRUL9gnM8FwOlnow6EQZUMFxuTVXueaUAGzzUOURBap+xwKWUlqU4Lenf8mB2RA82J2+v6CAP6/Z7nI20ktuYXaxZ03UF7rwmGyvF9dKUaXE5EcApLEq/HpHN3/HnWnDDtslTOXv17AI32ggGW1WxOH58/f3/D+0uyyX/N169kZ/Jp8qb1q6NWXGobnwkFCbkrMbGoVjHnYIHC3CxG8r59vuA4e6djm13H4UO6NSVVpB+koMir4ryBfBWxrUQasK4H0ESooet6cUcv6jBJXaBqTTdrXOjsFAPn4N33U1PJI4D2VAytZCx0rYT9aMoYVUGoIt4aF3w9aClxJbmYPaK8M5vEtGfLpguJxMvPjKcSBj4SrVkJpUXFlCssVG/Ksb721AEeolzQ4C072GlbNBcS+eaf1PKw/+bqLEbEUBIbvLoNxxLTebGPLyPxTtevV8qJKLUk2Gg7iOBLUtMhNe7b8gTko6nq/EBIFKt0DJZ/HYcl3LU2Z+fYWRYIS+Aca2BAeaca6YGdTnRoqB3lw+LC1zPx9kR83+Fef4eqS7WiclN5IaCN5bjntCi8J1hU495rGCmkzWB7EJqIrfyy0xluqfq71MlI1AdXEOwKi7DKRyrjm4u2D6Y30I5owEZx7d0kejVu+fr9PwHfzczM7cYZLtg+pT4PywgPruQK14YseKx+yKVhAN5UAET9nTlJOYDStNN+orH35GHqYsZ4Ed4AK6BOEHYyvrz+4Bb1Vwm2kWsakAIzgF7PoSFMR3vY1MxnoNEDuH4Q3oOYxsV47ZAjYJ/C9zicPed8Vznm84DYNLQrDsgHvqGXtX9KU7JYRgP6n4ThFUB9v3khLmrCnd+rEVIMMhApHiyHCzDzpZ9Ti4BEJH064fzI4tHit495DgDZOGg4Fsqt6HAXmHpk1EU1n5wPrRmzZtBfy5UkEooiVEizLRbgYixfcHhKRTzYC1+Px5roX/Rxyqod02JLv8JM26JxbCXYqTPLX03WPjARd56ktEqHyG9wRP95y5u8KCAu+GhLwr/gZmfknsZeRBbyj5/XMwzCkwbOzkEOsRIiumikiq/54sjEapsVqFUUpA6+RcyCECwKaqDwI7LsPVYbZzrBmknkZJpLWyyVv4IeGPe6ajsGmyRI53sCkAYXnbKzULaixWrqTWSt11s+sx7KtmLxxC7M93df9evV/RkrJNh/TYic995aImVIYyseA/PlTyihuD9WRGQNRiFg4kJP28V2i+2cehJGsKfq1L2V36YqvumOhLcHgZ9UsNpkPObvZIsDy6p2bK0gng32CN+Ss9gI/PuZjKy456Y04tuDVRzEBncFHwcUeDl70UbsZLRXluYI9fNg4V9lABIIbVAr5WtuhMTxGWtxmImgKDULskB7dujit0DUpyhlN1owX9UespWS4bHOVEQNvW48LI51VSH/OiWY9uaS0gPgQqDFChNZAkkv1uyOVrJgosQFiQVwVpfuahxpSqD2G4oOkMoQYP5eUI6+41sNsXVIsKXRtqqD53JGkKavtkceO0SkiXqiRUmwToEMn5RKiHas4CNWBHWf+hlS/7L6Hbpfun9EpuOzjmivQID+0RTFm290VKe7IpjeFRf8TQEm/7DfEW3fn5T5SIMKu/OpIvoRV4NCnxxtoWhkuY72Dnl9X7RNXrULaYwhFEdyYpOEkaniGFINfZw44kfBX/muFXmcav3/HyfEj81QwFSxmWbRy80A3dEJt0bTBi3arblvIUPaS+dTEBApIupHe31RyTybppYdu+HhbVPTRpEZmtsDFNe/0I30QzXUwCmsAZG4zsDXEd3GAD9wsaakh+wpAbWakOV6irwXUJ5dw8l4vUOmPm++E1yQwiqesxEtTSfL+KX3J1gIQG4agTu8wuq/zK51O23TOeF8ukLKM5PQGfm/DpsxCTZ5mKOtPh6AMDisrxxB4p3gN7eJmH1VeE6nmB9Ub4PZ4oQ+KCnv9RMAZ7TTPM2gHoc0UvBZrM/91Nt3Rp32LMs9OwIdKX6RIGc47rmjaRNTLCBi/Jgk3tT2Fwp0VqKlPr9Fwr5v45X9v6Zlt8uHh5kNLcypJVLlWSg5x7Ocak8mwyLSb518fF+2RmvZiptjSrQVsDS1Z/NvLCLrWvKcQ/ffxviNVF9YLGbEpHyALs5A5Vi2jZpfB674YKAP5lLhjWlqVfwCl8lKzzo2ZmGlEpK3QqlcUcCVcB3yzDT2a/GaDln71sOLkplLaN/yAZRebplqz5+Yi6e77Kjv1ha+n1thtYwn2nDdqW9owcri7KY8/4hLMuU0JnQSIhirep6awyqoXDETHuSxnKHaCz4MDl8tJCuDxCtW8b71zmgUPfF3OmLUZOjaECEzLw7yeOc9un2mX+Q74txCOSOb7g/QmhHO2SctvH49TV4q2m6kYdcXH1ggXxzjMHR/D9/UgsjCaO3oe/4TzPhP0iTcAv4+7J6qqsjoBHsDIX8hIYx4uxSu6CZBDJ+qh9EkVXrhQ8fHWEXgiSdVJj/yYqFYAHsLj0xrdR6WjJZcWPZMpwfxC/xcXIsUPvW0G3zY+WcBGwv+e9AgVUBxq9jVan1Rby5td+N0Kclgdt+ITe8d1H2NoO2ZhcyITNKVci8arHK6SWg1ciVhRc3zaF6vaBGqKRGh19MB2kwPxnrictx99kWi7Zpla7o7iL7pv3TDjOx0EWuL6ASjAJyEH0KWWEK0tMe4/xzwo6fidFEXSHViWO5u6HaAIlL5qUWplA/7buCwp9cHdPMtFhQjVQvz2hh+eUwShuMwoxp+e7YFSjm3agXOjWHbTDbCLV+JnATvZqn4M+umN6U6D0hiO/U5MAKvn9OvJkQG7bCGD5ADfoSbFE7PdI433TUGDsAd81MYYwNz194AauzdhXw+18A/AXT0p7cEGekE3kjsm4eJ616POZVWVR+8HQp+zmnKVcUPVL0Pidd3WzuvMnma1D4vyOHur07chgKN5OYyKpLqF9Rrode+JSBjKAzPjCw2xgDVnyWqBjFNVyj68cfbGELpnG45mankNkUhNM2z8N9977Dj6//9MKwgRFwfFLIesDwfsngamsMDUEwFgH75vpsl6V0kpdWftFfrIfGzpcUcBkpYJCBKYECcUMG0eHzVD53koHGkUGOWAjxq5BXOevWsADMzEi39KuA5zTZY1ADqhJps8a9H0Dt2NEtj4u1KyZoYts0AEcNSn8zOWlnN4TcDpIiLPOyQYGdI0s+XVOB3gvvK0A6plT/LeNO0XKJQyqk6LAwSZr+zk6iZfRkEFiakK8W+b6B8Lbs1AjymNnU2NWTPYCUt2vrxpxW29zgpDnxow9rX9j1x4PrFh5KbotOIhcnsiOr1i+ESWebUX9PjpYmMt2fkWMG7GSYYnIjv9Ri9wykn6uxUfyw0VKbRSKFBgaFAokhqg+HKLYcpsPRndSMQzY+qZRUP8Xf+0K12z7WLHWNq+9/E8ZdlM0sFlJaDgQ3HqvV7dGQAnnUklNZo2ijhjvNPCvV0DBjGODdwIhQ78SwTHcBr1UPWrbAKGfq074PpL7n1ZDBjAkoBfiGKXCMIMu8I1BZSHn5ddObTslGmWKXHz/FYQPr9vHpRr9i4uZ+u1fhXB0n7dSEsLAFKroUm11+Q2Do5ZJskF05H7YE1D6lmlT9sGb42epY5LhCUIqgnI6Wxb66grrZN8cCxrtWSIFpozd20K8241bFY3BQeHBSK5pFteUDXqcGd67vyd1fOkj46JqG54ilLuvfuiBbN03nMcjdMoeCsQYiAf4a3rgXh2qFkYzHAkFpUcWISyOaDBFZZ6MllqxU2hHBuWqApjBycyVF7CF+ZoJGiGyLSHk+Ier6/JCleS1CxEjZZvxcZ/1jsCUQYwm4RbAYMomn+pl51PK6u+6wLAl/Cf8kvlbpprp917e2HSp0IsIulZIbu3SpGfFhjncxl0Hbc44NMmQYFfYWwDnsAmuFits7ikxI4CFYCpdS7qImA7CssdMXCGEgzJ7CDk5yyVkHdslwPQEtxxsNcJPpr3aaUPGSvuNKifa+n9qShk/hjwwpeEIXCWqLT+Jq0BTPg1SuHBspq2SeN2lhjFI5OP6xoq/astm/fNr39BZAr6whyDpl1WDQslAbAsizGcFHD4Rg/8fNS54JRAmD/POtHae8tfK22S3yJ1HlgOZNjT60qV0TsjA4EEFD4ijSfyMzf8UjCpUmxLmvksw1CIwowSf3jTHfanz25lo0AH2YfUHy98zw5tpURHwBzUUL5/95tZus1UkUmUB6pB9nB+uEqfqrIuFiS+ltOYs16Wut448ksQWFKTf2U+sys7Byli5T1LQOGcql+9909eufupXz4REGOAcHFh3JljbCviXCqTCMIbcZD2XbkBa3SZP0VeyjMAoyiyBYb31Y+0GfRhrVJmVPM2ieKCWrj9sL1RVTbv0v3QZaNsk1P6DU0ImTAUvBMWmeuEc/0iQsVh6dc8x6mkIWnjjGooC8gYdPYQCjRxZ+OQue7odhrYgeYA/Ucj7nvUJfzrXi6NCrj8v/GnWEqw4VU8/m0t1yaHgLhyzhddmvw7Tby3JYAgU2iSC1LXEjY+HpSn0SDoEsn9VKah4j2FHjbnkYU07AvzKmKcYtErWomx1DakVGxoqtRQoFv7gQguY1fdqKOZ85jLvfWBx9ja1QV5Hi6WAooIDXDDxjLHdK1Rf9LmTRScpJ2G+TljUYcV7qqpZympg5YK8h7i9IOswxQs9Lcf7AaFJAogaq/ih0v+9pm9a2hWWkni/eRpoCRZFMh9XMsmiKOEfRj31akd6KIU347s2zPVdkCUy+Kj2NzWpfL1tTc3hXqDd6Mci68GWN29OsEZoHAVBU1o6luH7UneyzJjzXyuPG0QEBriQ8Hc/o9yQ255OE44jAhTcTpMHvAo1DAp2RLs67zhQyQIyfK19A4NDGfwDQmNeIwtvVApHlHHUhAQwDu01nNYhU/PH9eRKJJ1zQx4BCv+6q3vyienpYkfz/pfmYw76qvLawensLm7TFjTJU+rBOkBQ+OMQFs9qCPg0hFxSwm8JeylxRqW+fU7P4cZOlTEFgsXkNUH/q/vcaMbrXaI3EUf+qfrm7KKdiMKzBZmPYmJTlqU/a+yz8bpUGklvgqX+7XwFqDlv1lWi/RHUO7iN6sm1UXA4m/zFbQHqeNDUt8xm8aiUeczSQQ0ChHeLI4ymvkSNLdaCxo/qCZ+FD8e9obCXjn3sQOlw8z8EuWGxjrSr5gt5cZEvIOW3Nh+MOVRCILWpwk2FWPF3sjc41x0oHcyqNtxGrmXMfZZOkNJXyRFVjUQ3M5uHF+HCpYJyYCy9LL0Xy5A1WmhZ+8/vCOu4xsct+sEdxIYuZKCnsKcy3CsLrJNDgycWnJ5j9YhK4e31rt5TpEsFfavW4L3uQ31u3ufKNB5Qg7Eou5uMBFGfxxs8fSYAXwOC4YKTfjceWQ9+CZlKgwkJdpE5Qs8CHTjxhg/ts3PAVONFeE9/E2lQ/F/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    "# collect true solution, best guess, std, and 4 samples for plotting\n",
    "rvdict = {\"$x_*$\" : x,                             # true solution\n",
    "          \"$\\mathbb{E}(\\mathsf{x})$\" : x_rv.mean,  # best guess\n",
    "          \"$std(\\mathsf{x})$\" : x_rv.std,          # marginal standard deviations\n",
    "          \"$\\mathsf{x}_1$\" : x_samples[0],         # sample No. 0\n",
    "          \"$\\mathsf{x}_2$\" : x_samples[1],         # sample No. 1\n",
    "          \"$\\mathsf{x}_3$\" : x_samples[2],         # sample No. 2\n",
    "          \"$\\mathsf{x}_4$\" : x_samples[3]          # sample No. 3\n",
    "         }\n",
    "\n",
    "# retrieve min and max values of all entries for plotting purposes\n",
    "vmin = np.min([np.min(mat) for mat in list(rvdict.values())])\n",
    "vmax = np.max([np.max(mat) for mat in list(rvdict.values())])\n",
    "\n",
    "# normalize diverging colobar, such that it is centered at zero\n",
    "norm = TwoSlopeNorm(vmin=vmin, vcenter=0, vmax=vmax)\n",
    "\n",
    "fig, axes = plt.subplots(nrows=1, ncols=2 + 4 + 1, figsize=(8, 2.5), sharey=True)\n",
    "for i, (title, rv) in enumerate(rvdict.items()):\n",
    "    ax=axes[i].imshow(rv[:, np.newaxis], vmin=vmin, vmax=vmax, cmap='bwr', norm=norm)\n",
    "    #axes[i].set_axis_off()\n",
    "    axes[i].set_xticks([])\n",
    "    axes[i].set_yticks([])\n",
    "    axes[i].title.set_text(title)\n",
    "plt.tight_layout()\n",
    "plt.colorbar(ax, ax=axes[i], pad=0.2)"
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   "source": [
    "The ProbNum solver found a nearly perfect solution this time, with less budget (`maxiter=2`) by using the available prior information, while returning a measure of uncertainty as well. "
   ]
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   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "[1] J. Wenger & P. Hennig, *Probabilistic Linear Solvers for Machine Learning*, 34th Conference on Neural Information Processing Systems (NeurIPS), 2020."
   ]
  }
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