asvi.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/GianluigiSilvestri/asvi/blob/master/asvi.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oU96xYmuJv_2"
      },
      "source": [
        "# Automatic Structured Variational Inference"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "61OZVyFoJ_Rl"
      },
      "source": [
        "In this notebook, I will explain the Automatic Structured Variational Inference (ASVI) method [[1]](#asvi), providing a comparison with the widely used mean field approximation (MF) (as proposed in [[2]](#advi)).\n",
        "\n",
        "I will start with an introduction of the difficulties arising when using probabilistic programming in practice, followed by a description of MF and its limitations. I will then move to the description of ASVI and its advantages.\n",
        "\n",
        "All the steps will be followed by a Pytorch implementation, with a comparison of the performances of MF and ASVI on the problems of Brownian motion smoothing and Brownian motion bridge.\n",
        "\n",
        "**NOTE**: The description and code provided here are meant to be simple and intuitive, to help understand the main concepts. The more detailed and rigorous explanation can be found in the ASVI paper [[1]](#asvi), and an official TensorFlow Probability implementation is available [here](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/vi/build_asvi_surrogate_posterior). "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Co4hCKoNMMnP"
      },
      "source": [
        "## 1 - Introduction"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MUslS4CWMMrC"
      },
      "source": [
        "With the recent developments of Variational Inference and the availability of libraries which allow to use automatic differentiation (such as TensorFlow and PyTorch), it is now possible to easily implement gradient based automatic differentiation stochastic\n",
        "variational inference and use it on big datasets with high-dimensional models.\n",
        "\n",
        "However, it is still required to choose an appropriate variational distribution.\n",
        "\n",
        "Given a multidimensional prior distribution $p(z_1,...,z_M)$ with a set of latent variables $z_1,...,z_M$, it is complicated to design a multivariate variational distribution.\n",
        "The most common approach, and perhaps the easiest to use, is the so-called mean-field approximation: you simply assume that all the latent variables are statistically independent, rewriting the multivariate approximate posterior $q(z_1,...,z_M)$ as: \n",
        "$$q(z_1,...,z_M) = \\prod_m^Mq_m(z_m)$$\n",
        "MF works well only when the latent variables are not correlated (which is not always the case), otherwise can underestimate the true variance.\n",
        "\n",
        "Several approaches have been proposed to overcome the limitations of MF, while trying to remain as simple and as efficient. Some of these approaches are, for example, [[3]](#cvi), [[4]](#ssvi) and [[5]](#hvi), which despite being able to capture dependencies between latent variables, they require additional design, longer computation, and are limited to specific variational families.\n",
        "\n",
        "A different solution is proposed in ASVI, where a structured variational faimily is authomatically constructed from the prior. Therefore, ASVI requires only to specify the likelihood and prior distributions, and does not require specific gradient estimators or  ad-hoc variational lower bounds."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dKHA59MZMMvx"
      },
      "source": [
        "## 2 - ASVI and the convex-update variational families"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XA6konD6QkrQ"
      },
      "source": [
        "The main innovation of ASVI is the introduction of convex-update variational families. Before explaining the details, let's first quickly review the concept of conjugate prior."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1tFdHK9Q1bKb"
      },
      "source": [
        "### 2.1 - Closed-form update with conjugate priors"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XhO8aeBnMMy-"
      },
      "source": [
        "When the likelihood function is multiplied by the prior, if the prior distribution is conjugate to the likelihood, then the posterior distribution will have the same distribution as the prior. If the likelihood belongs to the exponential family, and the prior is conjugate, then we can compute the expectation parameters of the posterior distribution with a convex combination of the prior parameters and the maximum likelihood estimators: $$\\mathbf{\\bar{\\mu}} = \\mathbf{\\lambda}\\odot\\mathbf{\\bar{\\mu_0}}+(1-\\mathbf{\\lambda})\\odot\\mathbf{\\mu_{ML}}$$ with $\\mathbf{\\bar{\\mu_0}}$ the prior expectations, $\\mathbf{\\lambda}$ a vector of convex combination coefficients, $\\odot$ the element-wise product and $\\mathbf{\\mu_{ML}}$ the maximum likelihood estimators.\n",
        "\n",
        "An example is the mean update for a monodimensional Gaussian likelihood with precision $\\tau$ over $N$ independely sampled datapoints $y_n$ and a monodimensional Gaussian prior over the mean with mean $\\mu_0$ and precision $\\tau_0$. The posterior mean can be computed with the following update: $$\\mu = \\frac{\\tau_0}{\\tau_0 + N\\tau}\\mu_0 + \\frac{N\\tau}{\\tau_0+N\\tau}\\left(\\frac{1}{N}\\sum_{n=1}^Ny_n\\right),$$ with $y_n$ the data points.\n",
        "The posterior mean becomes an interpolation between the maximum likelihood mean and the prior mean. If $N$ is small, the influence of the prior on the posterior will be big, since we cannot trust the data too much, while if $N$ is big then the data is a reliable source of information, and the prior will have almost no influence."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hs4dY0yHMM2G"
      },
      "source": [
        "### 2.2 - Convex-update variational families"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K0liEJTiQkd7"
      },
      "source": [
        "The convex-update variatiomal families are inspired by the conjugate parameter update in the exponential family, and are applicable also to models where likelihood and priors are not in the exponential family and where the prior is not conjugate (otherwise, we would not need it).\n",
        "\n",
        "Let's consider a prbabilistic model with a prior $p(x\\mid\\mathbf{\\theta})$ parametrized by the vector of parameters $\\mathbf{\\theta}$. Then, the convex-update posterior is defined as: $$q(x; \\mathbf{\\lambda},\\mathbf{\\alpha})=p(x\\mid\\mathbf{\\lambda}\\odot\\mathbf{\\theta}+(1-\\mathbf{\\lambda})\\odot\\mathbf{\\alpha}),$$\n",
        "\n",
        "where $\\mathbf{\\theta}$ is the vector of (fixed) parameters of the prior, $\\mathbf{\\alpha}$ hs the same dimensionality of $\\mathbf{\\theta}$ and is a vector of learnable parameters which will have to mimic the behavior of the maximum likelihood estimators in the cojugate update, and $\\mathbf{\\lambda}$ is a vector of learnable parameters which will be used as the coefficients for the convex combination update (therefore restricted to be between 0 and 1)."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZJeMNX8UMM5U"
      },
      "source": [
        "### 2.3 ASVI"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nj7M8Aj6MM91"
      },
      "source": [
        "With the pseudo-conjugate variational family, using ASVI is as simple as using the Mean Field approach, but instead of assuming independence between latent variables, ASVI will authomatically include the structure of the prior, without additional design choice or ad-hoc computation of the gradients and variational lower bound. Moreover, ASVI only doubles the number of parameters required: if MF needs $P$ parameters (dimensionality if $\\mathbf{\\theta}$), then ASVI will require $2P$ parameters. The rest of the algorithm is exactly like MF.\n",
        "\n",
        "In the extreme cases, ASVI can recover the exact prior by setting all the $\\mathbf{\\lambda}$ to 1, or be the same as MF by setting all the $\\mathbf{\\lambda}$ to 0.\n",
        "\n",
        "Using the structure of the prior for the variational approximation is a great improvement over standard MF, since it does not add any complications and keeps the number of parameters low. However, it comes with the limitation that the posterior cannot capture dependencies that are not included in the prior."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Jo0AB9C_MNBZ"
      },
      "source": [
        "## 3 - A practical example"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ArjANA2YMNEm"
      },
      "source": [
        "To show the advantages of ASVI, we will now compare its performances with MF on two simple problems: the Brownian smoothing and the Brownian bridge. We will start, as usual, by importing the necessary python libraries."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SBpfUnK_mkgp"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "from tqdm.notebook import tqdm\n",
        "import torch\n",
        "import torch.nn as nn\n",
        "from torch.distributions import Normal\n",
        "import torch.nn.functional as F\n",
        "from time import sleep\n",
        "\n",
        "plt.style.use('seaborn')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IsnqsvspOU1T"
      },
      "source": [
        "Plot function"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IwutGe3YKPXp"
      },
      "source": [
        "def plot_results(model, data, truth, title=None, bridge=None):\n",
        "    T = len(truth)\n",
        "    samples = model.sample(100)\n",
        "    mus = samples.mean(0).detach().numpy()\n",
        "    std = samples.std(0).detach().numpy()\n",
        "\n",
        "    # plot samples from the posterior\n",
        "    for sample in samples:\n",
        "        plt.plot(sample.detach().numpy(), linewidth=0.3)\n",
        "        \n",
        "    plt.plot(mus, label='posterior', c='blue')\n",
        "    plt.fill_between(np.arange(T), mus - std, mus + std, alpha=.4)\n",
        "    if bridge:\n",
        "        plt.plot(range(bridge), data[0], label='observed', c='r')\n",
        "        plt.plot(range(T-bridge,T,1), data[1], c='r')\n",
        "    else:\n",
        "        plt.plot(data, label='observed', c='red')\n",
        "    plt.plot(bm.x, label='true', c='green')\n",
        "    plt.legend()\n",
        "    if title:\n",
        "        plt.title(title)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xTvmVYytOWiI"
      },
      "source": [
        "Training function"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-ELYphjBOY3r"
      },
      "source": [
        "def train_model(model, data):\n",
        "    '''\n",
        "    requires a model, either ASVI or MF as defined above,\n",
        "    and the noisy time series\n",
        "    '''\n",
        "    optimizer = torch.optim.Adam(model.parameters(), lr=.001)\n",
        "    losses = np.array([])\n",
        "    with tqdm(range(EPOCHS), unit=\"epochs\") as tepoch:\n",
        "\n",
        "        for epoch in tepoch:\n",
        "\n",
        "            optimizer.zero_grad()\n",
        "\n",
        "            # sample latent variables\n",
        "            z = model.sample()\n",
        "\n",
        "            # minimize negative elbo\n",
        "            loss = -model.elbo(z, data).mean()\n",
        "\n",
        "            loss.backward()\n",
        "            optimizer.step()\n",
        "            \n",
        "            losses = np.append(losses,loss.item())\n",
        "            \n",
        "            # display mean loss for last 50 epochs every 50 epochs\n",
        "            if (epoch+1)%50==0:\n",
        "                tepoch.set_postfix(loss=losses[-50:].mean())\n",
        "                \n",
        "    return model"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tPFY_MCZMNIL"
      },
      "source": [
        "### 3.1 - Brownian motion"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cHrqjqhWMNLc"
      },
      "source": [
        "In this problem, we will observe a process over $T$ time steps, which will form a time series $y_0,...,y_{T-1}$ denoted as $\\mathbf{y}$. The probability distribution of $y_0$ is a Gaussian distribution centered in 0 and with standard deviation $\\sigma$: $$y_0 \\sim \\mathcal{N}(0, \\sigma^2).$$\n",
        "For the remaining time steps, the mean is centered on the point sampled at the previous step, and the standard deviation remains the same: $$y_t \\sim \\mathcal{N}(y_{t-1}, \\sigma^2).$$ The probabilitiy of the whole series can be written as: $$p(\\mathbf{y})=p(y_0)\\prod_{t=1}^{T-1}p(y_t\\mid y_{t-1}).$$\n",
        "\n",
        "It is easy to see how each time step is conditioned on the previous one, which makes the means of consecutive time steps correlated.\n",
        "\n",
        "In the smoothing problem, we will not have access to the real time series, but rather to noisy observations. Therefore, the actual series that we will use is obtained by sampling from each point with a small standard deviation. The goal is to recover the original time series given the noisy observation.\n",
        "\n",
        "In the bridge problem, similarly to the smoothing case, we will have access to the noisy obesrvation, but only to the initial and final parts. The goal is, again, to recover the original time series (but this time, we have no clue what happened in the intermediate time steps).\n",
        "\n",
        "The class used to generate the data is shown below.\n",
        "\n",
        "_**Note 1:**_ there is a parameter $dt$, which represent the fact that this process is a discretization of a continuous-time process, using the Euler-Maruyama method.\n",
        "\n",
        "_**Note 2:**_ When you see in text something like $x \\sim \\mathcal{N}(a,b)$, $b$ refers to the variance $\\sigma^2$ of the Gaussian distribution. However, in most of the python libraries (also in PyTorch), if you sample from a normal distribution `torch.normal(a, b)`, then b refers to the standard deviation $\\sigma$. Make sure to keep an eye on this and to do the right converisons from papers to code.\n",
        "\n",
        "_**Note 3:**_ In practice, it is common to use the logarithm of the probabilities mentioned above. This gives the same results in terms of optimization (the optima for the logarithm is the same), but makes computation easier, since all the products are transformed into sums.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3REzxj9h2e6o"
      },
      "source": [
        "class BrownianMotion():\n",
        "    '''\n",
        "    Class to generate a Brownian motion.\n",
        "    self.x will contain the ground truth,\n",
        "    while self.obs will be the noisy observation\n",
        "    '''\n",
        "    def __init__(self, T=40, dt=0.01):\n",
        "        '''\n",
        "        T is the total lenght of the time series\n",
        "        dt is the time step approximation\n",
        "        '''\n",
        "        self.T = T\n",
        "        self.dt = dt\n",
        "        self.x = self._gen()\n",
        "        self.obs = self._gen_noisy()\n",
        "\n",
        "    def _gen(self):\n",
        "        '''\n",
        "        generates ground truth time series of lenght 40, with std = 1\n",
        "        in the discratization, the std has to be multiplied by sqrt(dt)\n",
        "        '''\n",
        "        x = [0]\n",
        "        for t in range(self.T - 1):\n",
        "            x.append(x[-1] + np.sqrt(self.dt) * np.random.normal(0, 1))\n",
        "        return x\n",
        "\n",
        "    def _gen_noisy(self):\n",
        "        '''\n",
        "        generates noisy observations, centered on ground truth and with std = 0.15\n",
        "        '''\n",
        "        x = []\n",
        "        for i in self.x:\n",
        "            x.append(i + np.random.normal(0, 0.15))\n",
        "        return x\n",
        "\n",
        "    def get_obs(self):\n",
        "        '''\n",
        "        returns the noisy time series, for smoothing\n",
        "        '''\n",
        "        return torch.tensor(self.obs)\n",
        "\n",
        "    def get_obs_bridge(self, t=10):\n",
        "        '''\n",
        "        returns only the first and last t steps of the noisy time series,\n",
        "        for bridge\n",
        "        '''\n",
        "        return torch.tensor(self.obs[:t]), torch.tensor(self.obs[-t:])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8eTG1tlEMNOc"
      },
      "source": [
        "### 3.2 - Mean Field and ASVI models"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RrRamjzXMNR7"
      },
      "source": [
        "It's time for the implementation of the models! Let's start from the Mean Field, since ASVI can be obtained as a simple extension.\n",
        "\n",
        "Our model has a latent variable $z_t$ for each time step. We will assume that the standard deviation is known and will try to estimate a Gaussian posterior for the mean parameter, parametrized by $\\mathbf{\\phi}$, which in our case consists of $(\\phi_{\\mu,t}, \\phi_{\\sigma,t}),\\; \\forall t \\in [0,T-1]$. We can sample from the variational parameters in a differentiable way by using the  reparametrization trick, which is already implemented in PyTorch with the method `rsample()`. For Gaussian distribution, it can be formalized as $$\\mathcal{f}_{\\phi,t}(\\epsilon)=SP(\\phi_{\\sigma,t})\\epsilon+\\phi_{\\mu,t},\\;\\epsilon\\sim\\mathcal{N}(0,1),$$\n",
        "\n",
        "where $SP(\\cdot)$ is the softplus function, which allows us to optimize $\\phi_\\sigma$ on all the real values (note that the standard deviation has to be $>0$.\n",
        "\n",
        "The likelihood can be defined as: $$\\prod_{t=0}^{T-1}p(x_t\\mid z_t),$$ where $x_t$ are the noisy observation with standard devation $\\sigma_{n}=0.15$, and $p(x_t\\mid z_t) = N(x_t\\mid z_t, \\sigma_n^2)$.\n",
        "\n",
        "Given the nature of the problem, it is reaonable to use as prior for each time step a Gaussian distribution centered on the previous observation in the time series. Therefore, the prior at each time step can be defined as: $$p(z_t\\mid z_{t-1})=\\mathcal{N}(z_{t-1}, \\sigma_t),$$ with $\\sigma_t=1 * \\sqrt{dt} = 0.1$. The total prior can be obtained as product of each prior, using $p(z_0)=\\mathcal{N}(z_0\\mid 0,0.1)$.\n",
        "\n",
        "For the posterior, using the mean-field approximation, each latent variable is considered as independent. Therefore, the total posterior is: $$\\prod_{t=0}^{T-1}p(z_t\\mid\\phi)=\\prod_{t=0}^{T-1}\\mathcal{N}(z_t\\mid\\phi_{\\mu,t}, SP(\\phi_{\\sigma,t}))$$"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Db0QSaLrkEt_"
      },
      "source": [
        "class MeanFeald(nn.Module):\n",
        "    def __init__(self, T, bridge_t=None):\n",
        "        super(MeanFeald, self).__init__()\n",
        "        self.T = T\n",
        "        self.phi = nn.Parameter(torch.tensor(torch.randn(T, 2), requires_grad=True))\n",
        "\n",
        "        # should be < T/2\n",
        "        self.b_t = bridge_t # used for bridge problem, first and last t observed\n",
        "\n",
        "    def sample(self, n=50):\n",
        "        '''\n",
        "        sample n series of length T of latent variables\n",
        "        shape --> n x T\n",
        "        '''\n",
        "        return Normal(self.phi[:, 0], F.softplus(self.phi[:, 1])).rsample([n])\n",
        "\n",
        "    def log_lik(self, z, data):\n",
        "        '''\n",
        "        log likelihood function\n",
        "        '''\n",
        "        if self.b_t:\n",
        "            p0 = Normal(z[:,:self.b_t], 0.15).log_prob(data[0])\n",
        "            p1 = Normal(z[:,-self.b_t:], 0.15).log_prob(data[1])\n",
        "            ll = torch.cat((p0,p1),1).sum(1)\n",
        "        else:\n",
        "            # sum over T (axis 1), return tensor of size n\n",
        "            ll = Normal(z, 0.15).log_prob(data).sum(1)\n",
        "\n",
        "        return ll\n",
        "\n",
        "    def log_prior(self, z):\n",
        "        \n",
        "        # at t=0, prior is N(z_0 | 0,0.1)\n",
        "        lp0 = Normal(0, 0.1).log_prob(z[:,0]).unsqueeze(1)\n",
        "\n",
        "        # for other t, prior is N(z_t | z_(t-1), 0.1)\n",
        "        lpn = Normal(z[:,:-1], 0.1).log_prob(z[:,1:])\n",
        "\n",
        "        # concatenate the two tensors and sum over T (axis 1)\n",
        "        lp = torch.cat([lp0,lpn],dim=1).sum(1)\n",
        "\n",
        "        return lp\n",
        "\n",
        "    def log_q(self, z):\n",
        "        ''' log probability of approximated posterior'''\n",
        "        lq = Normal(self.phi[:,0], F.softplus(self.phi[:,1])).log_prob(z).sum(1)\n",
        "        return lq\n",
        "\n",
        "    def elbo(self, z, data):\n",
        "        '''\n",
        "        elbo function --> likelihood + prior - approximate posterior q\n",
        "        z: sampled latent variables\n",
        "        data: noisy observation from time series\n",
        "        '''\n",
        "        return self.log_lik(z, data) + self.log_prior(z) - self.log_q(z)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xs8Fd7TOMNXa"
      },
      "source": [
        "Alright! Now that MF is implemented, we can literally copy-paste the code, change a few things, and have ASVI ready to run!\n",
        "\n",
        "As mentioned earlier, the convex-update family combines the prior parameters with learnable parameters $\\lambda$ and $\\alpha$. This will allow us to include our knowledge about the model, i.e. that $z_t$ is correlated to $z_{t-1}$. Therefore, we need to redefine $\\mathbf{\\phi}$ as: $$\\mathbf{\\phi}=\\mathbf{\\lambda}\\odot\\mathbf{\\theta}+(1-\\mathbf{\\lambda})\\odot\\mathbf{\\alpha},$$ with $\\theta$ being the $T$-dimensinal prior tensor, and $\\lambda$ and $\\alpha$ having the same dimensionality.\n",
        "\n",
        "The sampling of the latent variables can now be performed as before, but this time sequentially, since the prior at each time step is dependent on the latent variable at the previous time step (which needs to be sampled first!). The posterior computation remains the same, but using the new definition of $\\mathbf{\\phi}$."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "igWsW9KTuCgZ"
      },
      "source": [
        "def convex_update(theta, lambd, alpha):\n",
        "    return theta*torch.sigmoid(lambd) + (1-torch.sigmoid(lambd))*alpha\n",
        "\n",
        "class ASVI(nn.Module):\n",
        "    def __init__(self, T, bridge_t=None):\n",
        "        super(ASVI, self).__init__()\n",
        "        self.T = T\n",
        "\n",
        "         # should be < T/2\n",
        "        self.b_t = bridge_t # used for bridge problem, first and last t observed\n",
        "\n",
        "        self.lambd = nn.Parameter(torch.tensor(torch.randn(T,2), requires_grad=True))\n",
        "        self.alpha = nn.Parameter(torch.tensor(torch.randn(T,2), requires_grad=True))\n",
        "\n",
        "        self.pm0 = torch.tensor([0]) # prior mean at t=0\n",
        "\n",
        "        # we use log std for the convex update,\n",
        "        # since we need to guarantee that the update is > 0\n",
        "        # so we still use softplus afterwards\n",
        "        self.log_ps = torch.log(torch.tensor([0.1])) # log of prior std, same for all t\n",
        "\n",
        "    def sample(self, n=50):\n",
        "        '''\n",
        "        sample n series of length T of latent variables\n",
        "        shape --> n x T\n",
        "        '''\n",
        "\n",
        "        # compute posterior mean and log_std for t=0 \n",
        "        mean = convex_update(self.pm0, self.lambd[0,0], self.alpha[0,0])\n",
        "        std = convex_update(self.log_ps, self.lambd[0,1], self.alpha[0,1])\n",
        "\n",
        "        # sample latent variable for t=0\n",
        "        z = [Normal(mean, F.softplus(std)).rsample([n]).unsqueeze(1)]\n",
        "\n",
        "        # repeat for the remainig time steps\n",
        "        for t in range(1, self.T):\n",
        "            \n",
        "            # here the prior mean is in z[t-1] (last element of the list)\n",
        "            mean = convex_update(z[-1], self.lambd[t,0], self.alpha[t,0])\n",
        "            std = convex_update(self.log_ps, self.lambd[t,1], self.alpha[t,1])\n",
        "\n",
        "            # this time we don't need to specify n \n",
        "            # since the tensor has already size (n,)\n",
        "            z.append(Normal(mean, F.softplus(std)).rsample())\n",
        "\n",
        "        return torch.cat(z,1).squeeze()\n",
        "\n",
        "    def log_lik(self, z, data):\n",
        "        '''\n",
        "        log likelihood function\n",
        "        '''\n",
        "        if self.b_t:\n",
        "            p0 = Normal(z[:,:self.b_t], 0.15).log_prob(data[0])\n",
        "            p1 = Normal(z[:,-self.b_t:], 0.15).log_prob(data[1])\n",
        "            ll = torch.cat((p0,p1),1).sum(1)\n",
        "        else:\n",
        "            # sum over T (axis 1), return tensor of size n\n",
        "            ll = Normal(z, 0.15).log_prob(data).sum(1)\n",
        "\n",
        "        return ll\n",
        "\n",
        "    def log_prior(self, z):\n",
        "        \n",
        "        # at t=0, prior is N(z_0 | 0,0.1)\n",
        "        lp0 = Normal(0, 0.1).log_prob(z[:,0]).unsqueeze(1)\n",
        "\n",
        "        # for other t, prior is N(z_t | z_(t-1), 0.1)\n",
        "        lpn = Normal(z[:,:-1], 0.1).log_prob(z[:,1:])\n",
        "\n",
        "        # concatenate the two tensors and sum over T (axis 1)\n",
        "        lp = torch.cat([lp0,lpn],dim=1).sum(1)\n",
        "\n",
        "        return lp\n",
        "\n",
        "    def log_q(self, z):\n",
        "        ''' log probability of approximated posterior'''\n",
        "\n",
        "        # the prior mean is [0, z0, z1, .., z_(t-1)]\n",
        "        prior_mean = self.pm0.repeat(z.shape[0]).unsqueeze(1)\n",
        "        prior_mean = torch.cat((prior_mean, z), 1)[:,:-1]\n",
        "\n",
        "        q_mean = convex_update(prior_mean, self.lambd[:,0], self.alpha[:,0])\n",
        "        q_std = convex_update(self.log_ps, self.lambd[:,1], self.alpha[:,1])\n",
        "        \n",
        "        lq = Normal(q_mean, F.softplus(q_std)).log_prob(z).sum(1)\n",
        "        return lq\n",
        "\n",
        "    def elbo(self, z, data):\n",
        "        '''\n",
        "        elbo function --> likelihood + prior - approximate posterior q\n",
        "        z: sampled latent variables\n",
        "        data: noisy observation from time series\n",
        "        '''\n",
        "        return self.log_lik(z, data) + self.log_prior(z) - self.log_q(z)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WEj7jsx2MNbk"
      },
      "source": [
        "### 3.3 - MF and ASVI for Brownian Smoothing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "A93gu86i3cnU"
      },
      "source": [
        "EPOCHS = 20000\n",
        "T = 40  # number of time steps\n",
        "dt = 0.01 \n",
        "bm = BrownianMotion(T=T, dt=dt)\n",
        "data = bm.get_obs()\n",
        "bridge_data = bm.get_obs_bridge()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119,
          "referenced_widgets": [
            "031c8f5db64b4879aca214a3b2645dc8",
            "df54cdcba0eb40e0be5ad5efef076094",
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            "dda7f135c734457a9a82696da58f7dc3",
            "8a20ebc658a44f7b92604845e565d6c4",
            "88534f25c39040beae37882fba62faaf",
            "2bcbbf8e42094803ac51af96760b5658",
            "c2da637d321a47098e29a4fef7931b73"
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        },
        "id": "J9gqaqxu3n4e",
        "outputId": "e46abfa4-da1e-4539-8136-e05b1d5316f8"
      },
      "source": [
        "mf_smoothing = train_model(MeanFeald(T), data)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:5: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
            "  \"\"\"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "031c8f5db64b4879aca214a3b2645dc8",
              "version_minor": 0,
              "version_major": 2
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            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=20000.0), HTML(value='')))"
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          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153,
          "referenced_widgets": [
            "42bf23f55fa34da89da65917dcd31afa",
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            "563c0879bd6c40bfbc0569017a4118d7",
            "8724434ae52e42dd97ad8fe32bc19836",
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            "bba8dcc6f26f4aa09e8010f1f8f750b1",
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        "id": "8UXWx_-ZBS-a",
        "outputId": "c7460646-e919-4113-f651-d97610faa8dc"
      },
      "source": [
        "asvi_smoothing = train_model(ASVI(T), data)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:12: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
            "  if sys.path[0] == '':\n",
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:13: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
            "  del sys.path[0]\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "42bf23f55fa34da89da65917dcd31afa",
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              "HBox(children=(FloatProgress(value=0.0, max=20000.0), HTML(value='')))"
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        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 443
        },
        "id": "_3bdQ9q-ESVd",
        "outputId": "29727b5e-22a2-40f9-f99e-b501ea0c40aa"
      },
      "source": [
        "fig = plt.figure(figsize=(10,7))\n",
        "\n",
        "plt.subplot(2, 1, 1)\n",
        "plot_results(mf_smoothing, data, bm.x, 'MF')\n",
        "\n",
        "plt.subplot(2, 1, 2)\n",
        "plot_results(asvi_smoothing, data, bm.x, 'ASVI')\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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JP9Bal4t8MMiuie08OvAQS4tWcmPjTQC8vfmdlOjK+PWhXxDJnH5x6CPisczZb+RzIJUvMJ3K0GA1nrQvk5ggJ2sZTigsKRUV2oW/g3bPifWtjieqtAvCK6d7ftPsgyefBGXu/8sVzp9YNo5Fa8KXyhIfj+IqMjK/Qc/Xuj7Fr7q/RKIQ5yuXfpXHb3wEZTxH+VA77flK7BYnwVSG9ukxSkYHab3njyx/4RmUoireW/UVjGoTP8v8nERtEG9fAN/0bizxEIOyC2+JiYQyjWTVMhQ3k1y4lLElKygdGGL0Vz/BYXDQYK8lKI1RrZ+HaUELye5DhJ5+ivxEmIV2K9unTy6vYFq0iC9u+gQAX73y68jxOFnfDDq1jjsWfphELs4vD/78ZdtjZirKcJ+fUOC1PfohKwqHQnEWOU+dOBWyEXqG+tCWVeBNzf25iOTqAnAsuVp90j6RXAnCK5RKod25ffbx+DjqwxOLhYvDQHgIi76SgD+KLzpNT+F53vL0VWzxPUKdeQGfWPYLbs+vZf/uXlouWUDR/Gp8mSyLW20o3j4W3P8wG7/1U2omRulcexnf//J/Q3ErtxR/noJS4D7fNxix6pnAQjTfQiGZomo6QAXzkFRqjHo1xdlxnrjyHciSxMKf/Z6ixGzSV1NiZ8KbIZcOkFMCZB0ZUFRU+kOkYoP0dnUTb99/9OuP235Ie/wQb7Csp9WrJzE1zu4dDxGM+blzxYcwqc38pONHZAqn7pnyTkaRZYVFK6qYnoic50/ilekMxllcZD26EPbxcikfoYyNpJygsciGlNOf4hXOr9dOOVPhtDS7d6Ho9eSXLDtp35ElcMSkdkH4+2h3bkdKpylUVaOeGEf33CZSC1rmOizhLFAUhUgmzExyhpmUl5nkka+Zo49HoqOE0mEimQAKs72WWpWWT8//CB+03cAvEynayqppmWdH39fBvpBEVWCSui98kcr2DtRygajNziNvex9DSzbizvvpM8tUBhq4wXknj4R+whORz/BW12eIaMsZ0ZqYb5EJ7OjGuLKKav1BJmcsDK9w0bPmclp3bsX/vW/Tdec1LLVV0pEcJ5MtY1BXQ9xkZWFmmMJYPxVV5QxYJRrrl6JWqUjn09z1+9vRSlr+veFDmJcuY+d0G6s3vIuDXS+wfN0NvK36Xfxu5Kf8pe8B3rXgPSe0lXcyiqIolFfZAdBoVeRyBbRa9UntOtf6I0lqLQZ06lP3B+XSPjrGocKhJpBMkB2cgfqm8xzliURy9VoXj6M52El+1WrQn5iN52UZ3ZH1BUUhUUH4u+ie3wxA4rP/ju1j/4hu8zOk/umjcxuU8KoNRgZ484MbCaRPv5QNgEVrxaYpodLWgE7SUeFTWN96De9f+QG0RcU0d7TRNhXmkioz079/iMt3vkj94GzNqKmyctrffj27F7+XkHcYrb6PmL8O47iEpamC5tE1LNS2cTC1j23BX3FF8V0Ukhn6vCGqsgE0z40iz0ugyupYrrjoXH8tzXt3UPaHXzG+sAXV5c3IBejY2UsBBwOHfBivXMby+fPR7/grqqJyBmIpmu1m7uu8h7HYKO9v+gcaa5bR0b2VRY0rkBIZSiUrQ5FR/nXdv3L/6C/5Yfv3uNV929FeH+9kFOBoYgXQ0FTC/r2j1DeVnKNP6MxMJzPo1Sqceu0p9+ezYQZ8Wpy6QxSVrmDqUDujwXo2nuc4X0okV69x2v1tSLJ8yvlWz0+FuE4MCwrCK6J7fjOKwUDmrTfDfT9Cu2MbJBJwisVyhQvH3W13EUgHWF99FfW2ekpNZcd9lVJqKmMy7kMrN+IdC1NcmifY1YeUjJNJ6hmSY2intDjiKm54/k/YPvob6oOzy6j0Nbt58fq3IS+opcs5H0c8xdKWEsb3F4g5E+RqDFRNjWGtKuJGxwcI9k2yN76T+fm7ud18Fd0JAxOWSuL2IAMpPasbFTL6cib05XRcewMrHvsLliee4AlLE7aMQqh/nKrFejY25Nm8s5u6yxbjXryUHV1taPRV2NRJ7m67C5vGwecu/TSDA4cwHhwgEjAwmVXhyqeYTodY5lrExrI389T0w2wafZqNddcyPRFBkiTKKm0ntJ9Gq6aQl1EU5ZRDb3NBURRmUlmWFFtPe0wqOkGX30iZlGRkqJ+JSRfNy0vPY5SnJpKr1zjt7p0As3cKHieWyyMriphzJQivgMo7jab7INkNbwCDAa67DunAAXQ7XiS78dq5Dk84Q2OxUR7ovZ9mp5s/3fAQKunk4aNkLkkyl2NoOIbJqWc8PIJxIEpLTRrJoGXzQ9u5ce8ebtz0IJpImLxGw47V69i96kosVzTCtAW/M4+U0bPa3oPHspjCIjNS/xjrkzN4axJE8g1UDej5tO42vpy7h/vTf6ZU28Dy4iU4Yzs5UJjPMhQKaQ2ekIwhluPhNTfT/MIzLHxuM+0tVxNzlGBZfxlli8qQJInyiWfYNxKgyVpNUW2E9KEn+PfcAaLZCB+y/SP92zyk7GaY34pSCOC1qFnSl8ctuTgY6OEO9z/z1PTD/N/+77FIsxaVSqK04sTEKjqzA6djPWWVNmamYiclXqfi6ZympNxCsevc3Zk3GEuhlwIoiuWkhC9fkDk0OMX+/iSucoU6q5qhmISk6PF2PQ+Nt52zuP4eYkL7a9zRyeyrTpzMPpFIU281knYUAYglcATh76B9bvYuwexVb5jdcN11s9s3PztXIQlnwQ/2301ezvMvKz5xysQKoC88SCxso0SGmG6csrYJ4vYisuMpqu6+h0998SO0/Pmn5HNZXrjuSr7xxbt56vZ/IlBZSzpXwqhBQwg7zboRJixrqcSFIeqnPB8nlw5THSuiePoA/pIo2srLeKfzG4CKe6M/JJvfRiybZ2Vggl5VHelhFQ22IDNmB+N2Pc9cdyOGdJoV2/+ETYIJf4LuHh8VBh1XXn8F0TEPoUCUqfYMhyJJHhv+HaW6Kq674mbG5kUobrKwYuliFlGMKlpNb6WD1NZtaFVaVjYtZnXR5Wyb3MqhSMdJiVUhF0dnrCAW6MNiMxCP/u2yDMlElogqQCKaIRpOnY2P8CQFRSGaTZN6/K/0+I7V+Rr1xmjzzNA1GMSm9eOsLKfB0onTXE941zT5aBc+c/E5iemVED1Xr2WyjGbvHvIN81AOz606ukuBSpOemVyeCosVlZjQLgh/05H5VtkNh5OrSy9FNlvQbX6WxNyFJbwK3qSX33X/mlpbPTfPf8cpj1EUhXyhgNefxFWSxznsJaQuZdGhrVz2m+8hKQqRigqeunYde9w3UJqYplbtYyZSoNQEwc5RSp0ZNHk7JpudNs8wC6UuSuJQbDUyOmWkeLGFdMViXOFxpiMpKisruS70Dzwu/R9fTvyZbxveSTpupTUyQG9JDfVZH3a7l5mRIjwb343vhWdYsmcvY+vaqGhxMzoxwX1j2zHkJexRDT0EcNSaeHDoIQrIvNV5M2oV3NT0pqMJZbelmjdqJ3k8XyBYMNGoFNER6uNGx+3sDr7IH8Z/ytWt609om0x8FKOjBZVqCjmfxmTWkoxnMFlOf8ddZ+8gxirI6qIEZmTUGhXmlzn+iEN7R9GZDdQ0ONEbTj2H6oi+SJJCuJcqtYPhbdvYqxtHo6gpcRpxm/Uoco49vSMsb6gkOzpAZ98EESqIlhVYHP2boZxzoufqNUzt6UEVjZB/yZCgcrguj1WrJpbLo5SUIIlhQUF4ebKMbstzFMorKLgXzG7T6citvwLN4ACq4aG5jU84Iz9u/wGZQoaPLf9XNKpT9xeMxsZJ+k04tCpGvV3YAypsw8Nc8YcfktXr+d2n7uAHH/8HXlx/A3F7FE2pht0VMkl9jvF6Fz2VWvxVNmYyBaamPNQp00xk5zPRuJKu1hXM1DSwVQrij5nxa5yYzEXkho1camlkHauZUs/wTbYiLVHIGvOUy2Fy4yFsOYW68hyJrMzzb74VdaFA7YvbiB18CknqpUpSoasvY2RRAV3yEG2JIAej+2k0trJA2UisPc5w7wxDfX7a2yfoGw6zdSSDBhNhq5mkpxt9zM7yihW47a08MvAQI9Hho+1SKGTx+1J07p1Aa6wjHRuivNrO1Pjps5NgPEJSTtC1VWbCH6ah2cXkaJhMOnfa71EUheEt+7D6+qh1SXgnYwx6fBTy8imPz8kyiWwc3b5OemtX4jA3Iq1ysewtG6i+bC2WZcsZs+rRN7iJxtqJOhaw27Wc8SorxbXlxBtePnE7H0Ry9Rp2uuKhgUyOYoP26Bi0XOKardAun/pCFQQBNF0dqPx+clddfcJKB9kNs/cV6Q4PGQoXjlA6yC8O/pQyUzm3uk8/x2Y64icU1yDH9tKoryU0keCGX/8HSqHAvZ+8g4Pz16AylFDrN7OMKZLljai9NkyOeuJBG5UNZejyVsJWO6mqZSwu9iGVF8irxnHGZsiH9USer+bFHUY2PbWSP/6ygUd/28zvfngzfT/+M6rRKzigHODju3cxksti0c+gzmWo90+id0hokkkmmhYx0jCPZXv2oU9MUMhEyVtj1KhhmekyMlWLeGzoqwDcXPlBai4xoCquxD98EG8mSV8oxaXrapHmVZEaKRAqU+gP6HD4Y0hlSd5V9f+QFZl7DvwfcLh46KH9lFS2sHhVFcP9QSSVFkXOolJJFAon/z0pyAV2HezGqamgttXFdL+G/sAITS2lDPX6yecKJ39PMkFk+zYyZic117+BzPAwtfOKqG0sYmQgwOhg8GiHwRGecJL0dAf5tJ3d00l80QwWrZVQerbafCYUYGpHJzXGGDNGI/uGSpCMJhR7BkcqhRSb+7+FYljwNex0ydVMKkuL49idTXKJCymfR4qEUZxF5zVGQbhQaI8MCV519QnbjwwR6p57lvQH7zzvcQln7r7Oe0jk4vx/l3weg8ZwymNS+TQBb4ZcZBC7ez7Bp/rZeO8XMSRjPP32dzDiWEpprh5VMkiLpY2Ogp1UbBCjVEI+70OvcaFOZ4hYrbhSk2QO5fjYXz7EzJSdSMxMofDydaGMpiSuzffgv+59RKue4GvZLSzrupX3Xr6UWiWOZiSCWp0kaUvwx7dfwafvGuQtjz5D++3/Qk+6gZgcxlTSy146mCiM0WJaS0inpXs4jlNxEcGOfWiATGkVI744tlyAsFmFZzqFPafDoc/hMDcQtchUWqr57aFf8XbbncyrrqaixobJYgJAb9AgaWtIxwapqpvPxEiY2nkn/j1p83ZQa6ymZyaBJjuFs7iWXT1e5l1aS/OiMjydXtyLy1CpZvtt0sND5ENBwi43DXVOFEVBZTBQSCbRmEzMc7tIp3IM9Piw2g2UVdpI5QskohOo2ofotS6lUZMjGkwR7yowVdXDyrCazolJ9KvWsGO8A1O8mLBTRyLnpSKjJ+6yEwynz8LV9eqccXLldru/C6wFFODjHo9nz3H7NgBfBwqAB7jT4/HMfSp5gdHs3olssx8bwjjO8XdOHCkkqvL7KYjkShBOSff8ZhRJInvlbHKVzs/+ly3XN5BvbEK35QXIZkF38oKwwvkXyuSQALtOc8rSAPFsjJ90/IgiQxG3L/wAAPl8Fo3mxM+vbbiLkE+FpkrN+C4/N/z26xT7p3nxjTeyacUa7EkrFa1VlPbvYcLnQFNWRCHsI+KIYdNEmcxWUq6V0AbDbP7lGp7ZugwkBasjias8iKMig9EWw2oJ4TAFUGwuWrVhyrNjjNVPssFopbdiFYb0u/nBzg10239Ge/3PONQ1jxstN3P5fBOqmIpEyExN01X0L91J04Ee9vhGsFTVUJbIcTCv4bmp76GRtNwUvIaAzkmvJkGxdRCVqRatP0qjyofLKjFiyZGeSJBJWclWhIkUrcN2qBdLqZE3mm7hF/G72ZJ7hIW6d6A11AIQzORoaiphz/YhKis0aDQFctn8Ce3YG+rHEHIyOJ0gZlXzFjLsD4xhsxXzRFsPb17VQlNrKb1dXppbXST270NXWYm2ZQnSRJSEEqet7xmqbMVUHoxhv+RSAAxGLU0tpUTDKfq7ZwhoFQL9u7HIJaQ1at5+/XI6t+/C6u2iczzPrsWNTOjtFI10Ey3YSds0SP48WBNoi12oEhmKjHM/g/KMhgXdbveVwHyPx7MOuAN46eqn97Q73VgAACAASURBVAK3eDyeywArcN2rivIiJPl8aIYGya+6BFTHPiZZUTj+14xOpSJXNFv0TZRjEITTSCTQ7tpBfskylOLZO4menQwe3Z29eiNSMnG09Ikw98YTaZL5Aj3hBIdC8aNf08kMBVnhFwd/RjgT5kNL/gmLdrYcwN7nd+KfGgNm5+10h2Ic7B8lao1hm3Sw9qf/SUmPhz2LrmDLmnXoLQbcy+ZTk9pPwrEASZOm0ZsgGmqgSBNiSOOkyjnE3sdLuPuTt/DM1mVU1IX5zIee5kd37+XrP5zmne95iA9+ZIBr3v0CTdWTNDeP0uDaQmbJGJUOmYlkgkKyj7i0ijuXLeI216exDd5O1jbMA5q7+Nbev+BTJPR6LZWBEXbddB2yJHHZH+5H0U2xX1PFM4HfEcj6WaC5Ea2tiSaDlvriMjLWBBZlHEddNRXRIH3tezD/eRvVDid6m4rdviSxQIypvB2nV8elFVdh1dm4r/MekukQwymJzmCMRK7AnukwSTVIujrSsUGKXGYCvjgAM0kfKDA4lMSrUtiojdCmr6PKqFBpdeCNRth5cBqtVk1NiUT/Q89gXrIUfVU1o4NB1KUZxqMjNBetRDHVMpkeIxHsRlGO9bnYHEZKG4vwd+0i5XWR0xqpc1cje6epTkWJSFBz1UaePORBiQTxpu3YNCq0BTVa1wCgp1VvZ8w3gXPPwfN+vb7Umc65egPwEIDH4+kGnG63+/j7O1d6PJ7xw499wNzfF3mB0e7dDZw8JDiRyFBpPtb9XWrUETlcjkFMahcuVi+ds/FSuu1bkXK52flWQDyXp1ivxZ+cve08d3RoUMy7ei3IFGSMajWVZgMtTguth78WOMzoVCoOhoL8YP/3MGksXF7zHoZjKaLRCQquKrb1enlk/whPHhhn75MvkssVYY6oWffHr9LSvg/PvGU8fcudOJ1a7HnQpDtIKxYGIr1gtZKJ+dHaJaw6J9GIhd988208ft8VZJJaNtzezic/tpPS2hBSLoFzrIuCuQjNgSliUQu2hkpWDx3Em3fQX2agPKOgsjgoNeiRbbtIuQZYYrLx6WuWcmPy/1BPrGWieAv/6/0MTwSfZ5d2AUEaab/yckqmptE/f4DAzCG2xv+MWWXlDSV3MG/pIorjfhzSOI2DKUxDPowTu5kJj1ISHUez1Ip+Yg9rTXni6NhysB9DWSllUoQaRyVva3gnvtQM9/S/QJlRx+IiKzUWA2urirCWWXix34eCBrtDQziQIp3PMBAcp/eARE6SaJlfTF//MIqtHT8FkhEvVy+vYjoa4unHdiNFQ1RdezUDw0HGpmcYK4wwGBkhEg/QncxQkMqYqWnFP+wjGe4mk5g4+rn37m0nYpOpSMzgK6nHNRNk+2gvw8uWEM/k2PX8ICslDXmTwlBcRmPIIudmmE7DguJmDvV2YQ0HsFWcvA7v+Xamw4LlQNtxz32Ht0UBPB5PFMDtdlcAbwS++Lde0Ok0odGc+zWNXK7TV3p9TenaB4D5mg2Yj4t5vFCgqdxx9HmJojBaUQaAPR2Dv+P8Lpg2OMdEO7x+2uCh7qdYU72cCutpKjPvehEA0003YHJZmfSGeVNrNV2+CMvKHHDj9aDXY9qyGZPrO+cx8teG19p10OWLsLLBdcq15MqATXv+QDDt47OXfZa3LGohls2z68AoW6ZC1JQZKFVHuDSf4bl6A/FglPeOdlP216fw1zTyi5s+haMpQWY6jqMkw0A0xIRjkNUqC45ojCfqL2VJ6iCPPfYGHnt4MfmMjpZFI6y/pQu7W4Pc349qfhE5vZo2XwHTRI4xXQD9dDVSpQ6DIUl4kcRK2UEyZWSgRo9OGUWdrSKmkXFX1jAzlKZxwRhfnngbf2i/jkONP2Kn5dfs97/A9aYPEl97M4u27eLmZx/g7oULyajTfEBex+p0gJm+CC6KmNfXQXbBOvYnkyxOFvAtcyCp01SNBSmE4iTNE9S4FuHzH6R7OsqbrlyDrrOHVstb0Kp+weOjv+WuG75ANJ7DMxJk0BtHkiRMGYUXZ6yU+LsppErZvr0dh7acdCxO1KbD2Lad8gaFKVlDRNuD2adhZrCSfMRDzN7CX/wqLq2fQHYV2LFvlMs3NFNvr+axgzv48YFPUGmt5p8v+QztwSBvrVyAVZUnGeknFNYzHB2hImWkdGkrxeUGdIkYfsnJ9MFJfL44OucQrUuqaMtEmO9UMzMsM20OoYTrccS20StrWJwsY9qsO+Nr+mz9LJytCe0nDYi73e5S4FHgnz0ez8sv9gSEQsmzFMrpuVxWfL7YOX+fs8HxwlY0KhX+ea1wXMzRaAqf+sQkNGyyUQckhsZI/o3zu5Da4FwS7fD6aYNAKkS1robO0X4yTgWz1nTSMc4nnkRtMuNvWgS+GKFIipBq9ufoSBvY116K7oXnCHT2IpdXnNdzmEuvxesgEEoSOc3ASq6Q4xtbv4lBbeC98+/E54uRz0aY8ObIJxKo/Famprfw49JKspEE70mnKf3K10g4S/jWrV/GZs6jDo6jUyXI5SuwmSoxjeUYs8Vos9WRGZL55gPvYWCiCrM1xRvu/Avvf7MJu1rF7u0B/EWVVElVTCcnyduTFOJa/JKBxmgGbW8nT5SvxByaIZVIMVBejs1WSjqiw6K346KZtvwezKYqihJVTLpCXNuiZV30W/xuYBupxffxEP/BbtZRfs161uzZRKe0Hbcfvv/D59DKz6FIEgWVCkWlQlH9LzerJfJqLYpGAyo1GZVE+9tuYkLnZL65l7AZ2iammHkqy80VMrLkZEP5lTw9uYn/fOg+rqm7lnL9EPXutQRDOepKjAz1BlDZTWwOTdOgKqKp1MLudJZy+yC18RDbjSU4UzWgbsSa3YljSkvFZTehUWvYPzTJlv2jKJkoZSVFzAylGNf38N09X2TvzOzU7D8dup8rytazP7yP9638IHXGWrY++gC5oiQ1JgczGDBPexmpMKH5xWbKAgmKSizYYgcYD7eg0RnRmYPkc6UkwmYW54cYKZeweu0EVSbslZYzuqZf6c/CyyViZ5pcTTLbU3VEJTB15MnhIcIngC94PJ6nz/A9Ll6ZDJoD+8kvXAyWY0sLZAsyGtXJEztzxYfnXInFm4WL0FhsHLfBQk1JK7u9+7mkbDlq1bF/QFTjY2j6esm88TrQ6cgWZLSn+DnKXn0NuheeQ/v8ZjLves/5PAXhOAVF4eWWtnuw74+MxUa5c/E/UGqa7anMJic54A3TUK5mY36a/S3Lmekcwi1Ns/QLXyOn1fHtD3+BKY0elyVI2UycRHUJCWsVKosVQzaJv7+IrS+62bulCUVRcemqDjZ+pA+js4+4so6MP0yJOslQcT3jKZm8VotlpoqYPke5VoMkKxT0CZZk9jBm1eKTTTjTWbL+IJpUPaWZGNMFP/aMhoh6AlWwhPlOE4n50xSNmrinrIK7Dj1Ih+HbTNZt5Y6VempaDMiqNJ86WMvQ/CLU+Sx6rQqNokKORzAVEmS0elRKFm1Og4yEc2aKhZueZvq2GgYzjVSY/GSNI/hnFH6ddLBUM8ha27t4enITT878nPe3tODJSYQHnqO26HJUKhUFRaZjIMX6qgSTvhL2Do2BtR911MKQoYTScJrqbT/AV7+CEbOFlmgP0oSWiCXLhppqXuwfwZSvotyoJ5Dz8aPOu9k7s4dLK9bz3tYP8KMD32eLdytbvFt5aOynXCNfzZLy1Syu3kCwbSsZV4rh6sWYH32AO3/8Hy97vciSRNZkIKU2kdWbSNuMKM+Uo3F+hfyKVWfz0nxFzjS5ehr4D+Aet9u9Apj0eDzHp3vfBr7r8XiefLUBXiySiSwm8+xdLprOA0iZDPlLThw3HkukqTWffLvx0eRKzLkSLjLy4Qmxcj5OKnyQFa4l7PW2s6Zi5dFjdC8pwTAcT1FvMQJQZNQRiqZx6rVkr94IX/48us3PiORqDo3F09Sc4vcczNZZ+t6+76BRafjIso8DIBcyzKTVJJMp8vEYjzYWKJ4wU2ma5vbPfwd1PsfPP/0Jekvn0aikMOjGkTV6PJoyyhUn3nCavu11bHtgIaGQhZKiEO+9/WEWtvrQl9bglzbQFdlF5YAV8wI3dVktk+o82lQGzA4wejGMmAnrFMytNfSkQ9QdVNBnZfrr8pSqChTsXvrH9EilUFq7kHXhXrZlpgjGm5nndjBS6MSrruPWwhCr0v/EY1tvxbvsq4xap3CGVtB1+SeJOYOgqyUQSbOgaIKU4qIrl2JFAWasKYq0SRS1mSv/52fM72zHoC9QNNCLp3QlJkcH5TofOZWBQbmIy/JWLilbw67pnbQnw+TCZhyuUvaMbsalXcVUPolDW6DGUUZ6ZoTRwgwBeR6XT+1joMZEZds4b/ru/Rxc08fDn7mLQ94+lqZ0xLIFngtMUZpYQdKsxlFayq/3/oZnpp6i2lzPO43vJzUyw5dK/h/J+jQPjT/Do9Ob+SW/wDDyANd738Dl0lUES5upmOlk5TNbANj2rneStTmxjwcJpzJUS1FUwRC5XAx9GszxHNp0Gks8QEkgjXqgl1jHgQsvufJ4PNvdbneb2+3eDsjAR9xu9weACPAU8D5gvtvtPlI05ncej+fesxHw61XPQ5tpuHY9zhIz2t2H61u9pDJ7piBjOG5emqwoqCQJlbMIRaUSyZVw0RmKjFJnLkWtZNDqi8nEB1hQ1Eyn/xCLS1qBY/Wtjkxaz8kKOrWKTRMB3rGklm3eCE69lkKzm0JlFbrnN0OhAOpzPwdUOFkyX8CiNRKKZXBaT1xS5bHBR+gP93HbgtupslYDkI4N8WhHkmpHlkQqhblvAQPyLj7x7R9ijkXZf/sdbHNdR3XGj1kaRy+ZaStTaCqppSOYZfu3F9N9sBGVWuaKy3fw4dueoFteTFIj408XSBXiqEMpinQm5GyCeGoEUj7S4VqUYhXWaAjUGpK2AJGoBptci1Hx099goHlES0KWsRTpcVWqKSZHYibKREBH5YLV+PYNEDiYo1ldIBLroEJyEFTZ+MQtGZ7e8Ste2NZNqOsW/jdewbx541yyoZ0rmifo8FZgc2iRNBbC4UEaGyoIahUC8RImLl3B/M52ind1Em9dis6SJ1ewI5WWUxLtIlu6jue7Jrip6Q3s8e7iq1v+i19t+F9MejWd+3X02bdSW1tMfaqOMX8PnsQQqmQxl0jjHFIsTCbKueKpHwOwYG8HjxwcZ8xkhp39NF9TRbUGSp1OVFo1v92zg98PfQWdZODd0se5qnwRgZpqhqfaCHh9vD93C7cobu619LA/uYO/JB/mYR5l9b7VXKJazh0HdhAvKaLrho1Mp4rQtGTROCUCgSF6CmrilirqDSMcGKukUDFOra4OecaMpDbxT7dfdt6v3eOd8Zwrj8fz2ZdsOnDc47+9yJBwVPBgL+X1JQT2HcB85Wpspyke+lL3b+rj3RubKbUYyTuLxN2CwkUnlo1RKeXQWxuQVBp0xgqkjJdiQxGDkRHmWapnl7ypqaUwr2n2HxJmayiVGXWMx9IcvdFQkshevRHjb36Jpn0f+ZWXzOWpXZQUReHIx7G/z0eZ08TChqKj+77bdhcqScW/rPi3w9tk0nmFUDxGTTqMorjQaX3cefePKZ3y0n7FNfyk6UZMShBTKoi5TMPIRIxwQzF7A2k2ffUyJgeLaKifYdXbH2P5qgz7WMg8eYRUsgTtvkkilmmagsP0NwapHspRXDDgbFjIlFJAFd2LORIgushAsx/GYxHWheN4TAnmj5cRt7pwWFKYvB5MKT1yCkzeDFqbi3xHNxmNlXGNlvGyUuptRUzlg8gRLdOTBd6zoY1VCxbQPa+DwW0JugabGBys5iFjhoVLR6heNoa7ZoZpYwmlnYPkl+mxyyo6mteyXv1LWjt3kHnTIozT2xm3LmC6OE4hW0FRfC91C4vp77mEanUD+yJ72TUUobLExRUrSxieHMQzFGUkN0whDHa7lpy1Bu/QMOEaPVWRIVoOdAOgLuRZ0/Usj626nnwuSeceO3ajj3R5FxGplPsnPkuikODOos+yKF3PVk+WEinKNQvX80Thacb6J5iRWllVup6bejaws7KbF2Nb2Zndyc7CTnbdDm9JNOOMSqgqSmm1bSO3N8vB0mr81XnKMzOMjpRiMiZw6VooLa1gyO5F6bOSSoHROBdX8SxRof01IDQwiuReSrl9msG9/ZTv2UWhvAK5uuboMYlcAeNxvVZTgQSDk1FSmTwWvYZscQlG7/RchC9caBQFTUc7bJjb/+xerXQ+g16tR1EKSIfXlNPoHchyhuJChhE5T2znZlzhMKkb3gaSxFgsRbXFwEgsxUKnhfFU9oTXzG6YTa50m589KbmSC2mSoUNYSlact3O82Myks5QadMiKgtOqR69VM+lPUFliZtPo0xwMdHJT09uZ52gCIB0b5NkRHWXGAoFMEmdazdW//wZNA8N0L72Mh695H8X5IWRdOfYSha6UmjJ1FmemhT98ey0zw1YWre3jyjt3UlcYwVhQkVSryBVKKQol8MfMNBZyxBquJqYeIzzfgdY8n6meEUqdKaZyfjKlzZQWignpvZjy9QypvRiNK1HUMWp72xlZuJhUzkg6oCfjqKKofgpfZQWyoiCPTmDx2UnmNYyW6ChNZ7HZIuTipUjDo9TN78NSa+Smld34Dii82LGILQNr2LezmX07myktD9Oy2kN4kZ6inRE0xQXMWh0TrS3UdnaRaQ+StTiIlRQoDnlQVAsY6HbSXBfGlbfTZLyO8fiP+MXEt7gj8wU64wpFigujegJfPIkvUokiN2M3hclkvZRlbDQ814Mum2HfGy9n6aYdLNzyFG3v+SBD3QnqfUNkq5sZ007zwOgXGEn1crn9BlYnlrL6bWuJhlLsa5/knoPTlI976WmVUKt0rDkwxKS9nGb1SlrK3kzU+CKdz/2KZ6pi7JY6KPZ/hrcmrsHsu5SCWUPCGKAik6I6YWS3ZEJTEsM6VcpfH6zkhe0rCQX0yMEMn/hE9m9cceeOWFtwjqUG+lHKa+jaP8lovpjSkXbUM97ZIcHjZnWOJ9LUmI91CG7rmubWq5vY2zMDQLaoBFUkPFthWhBehuHn9+G85kr4+c/nOpRXpS88wHznvJO264xlIEnU683Im54AIHvV7JBgPF/ApFGjkiQmkxkkwKbTEMrMLjqbu+JKFLUa3eZnT3jNXCZIOjqIzlRBLhNEODcC6Rwuo47xmTjVLgtN1XYm/QkSqRzfbbsLgH9Z8Ulgticrnc4y7PVRHJmkgJN1z9zD4t17GW1dxPa3X0FvUmFaXYVLN8lAIo/LpOC1VPLb/1nDzLCVy1fs5SPX/5F13t3MD6rIUE8FVvwaPSPmatxLzRhSCcI+A2qVhqRqlNHubtTzkhSC/Tg0EoXGanb5oxTUMqpMnCxFGIuLSFnKSTYsxhmSydYsYsJShjTRzyFNJYWoBYeuj/qaaaxVJkwqB+oZA950EVWaDPFSDQFrE1r0FI2GCJbYKW528bZb+/jXj/6EL33w+6xc3U0oYOWFR9ZwzzfewcMPbmRXr53pnIF9S5YDoPNNktGBbcyPOetEXS5T02BnwGeluWWIa8uKcWhK2BHYit/QQV3wIMQniMVsJIJLkIpLCGk9mAY6CVktxMIVLG5/AYBD9evpX+SmbMpL9XOP09SygnwuTFIv8+TALrb6nmWeqY7bEzeQqp/PX3ePsncsTESrIj85xYizjshEFerhAC9aarGoZEqNAYosEQxT1TxxX5wtD9ezTHMNkXyMn8Xv5yvmL7NH9SRaZ4zGlI5DM5WMHijhT998Hx/73HoeerSeTELizWt7ue220y8kfT6Inqs5pCgKuYCfqXARKy+tJZcpIE36AQgvWMrxMz4KioLmcKX2XL6ABNTqc+wPzpawyB2uOq0K+JErKs/naQgXECkUxPzN/wag8Pjj8NZb5ziiM1eQC1BIodZaONQ+SeMCF3qDFgC9uYZUdICaXQdQVCrSl12OdHj8byiWosaspz0QZ4FZT0KWmU7lceq1KHYH+VWr0ezZhRQMoBQVk0mMo8g5TM5W4tkEquQYWr1YZupc8kfSpC3DTOZMaIoU7t76V/ZM7+La+utZWLIIgGxygu2TBmyaID4pQcOhCFduehJvRRm/eued9GQrsNYkaZIm6c8bkQw55G6F+//0AUJeK1eu280/XvEoeX0OOVXNzKr5aFJRggkLpkyOgmGEPp8Ge4mW5hVRBidczPTnMNakqBsPEcgnyLeuJe1P0WzKg72EpZoYHUVlVC7JUi1JDA8bqe6LsLpSzd6qYtJFahqLE8wc2MfQyDzWrK1CykNvSI9XE2NlYz2MDWMny7isR4oUEysqIpwZ5/9n773DK7vKQ+/f3qf33tR7l0bTx55xLxgXSggdEyBACJckhI/vppCEAIHvJrkELrkkuSGBEAgkwcSAbVzw2B7PjMczGo1G0qhLR/0cnd772XvfP2Rc4gJJDP4Sz+959IfOefejtfZee+ldb20f6CMTK9OirXLR28aHR77Kxs1trEav5oEHfcwsdDCz0METlhLRo15uV3+LvedPEX3jMbpC62wb7dSLOXJmL46yRLRqpddS5O3ePfxl6Dhfn/0yr3H/Gk1aLyZZpOASsSlOVNE6ceMyRq0b88VJmoLzRBpbWLjxClRVhd7JWfrOPsxaUz9Vn4vlzAl+VPhz9KKJD5Y+hLpJi1xJokgSFp1AKZ+jx1lnQTQwIsyT1neyR54mQxMVjZ7lbJXb7h9HVBQ2Asd4n3wlIc01TIr3crx6ge9wHOP8OWyzHyRy368glxwIokL/vjWuuDHGYeMZOHYQ/ytcTuWy5epnQGl97aeTW1xA8rdRr8k0tjiQJJmm6AoAm0Yv5dILa96XVpO0y2mSc1MYE9soikLV9eP+gpfjrl5t1OX6TxZ6CuPn/xgxldr95YkzP6MR/eyJFRO4DC5qxTCy4MFqN7C6GEeWn6nUbhQ8aC9coDo6ylhljWi5is+gpVyXCBWrHPbayNfq5GsSzy7wXr3+RgRZRnPiUYqZBQRRg97SDsA9yw+iKPJPrAh/mX87uVods2b3SFmsFfGbPOzxDDLqHeJ84W4Abu34BSZjM8wk5gkld9jOFmgRS4QU6F2cAOD7r3snpbwWS0OGPaYKEd0eSkUH6nwvf/Gtd5OKWLjl6DgfPHYWob0DJWFnxdGLPrdBZt1AOZnEW9qh60IUpxyhbjWTu1jDv1WiuzaHJRRCjqhRdXRipZMGo4Ktr0aLQ0U4qaKlXU+pCK22JgLWbvQNCgs7MVpzQUwtkBBrvObamzlmKbMwITGXUCOINQ5ZjMQ2z7BuP0YbW1TVdarFKvqqCauhncniFBtxgariQZY0LFmugN4YV5i/xm//9lf5xB/dw5VHZ6hJIv/wwHU8JN6CdzPCxkaGGVcf2+E2EtlGqsoQGVs3U+kC5/JGencO0q3vZKq6zF/u/AEXEztkak0IuQLeyhSG7DqJbC+pepqO5FlUsszyFUdRbcdJXz1MwWKjb2oJVyZOvDHF/fkvUVeqvLH4VrK2AazeFtpNUcwaI5sR6E/OUG0K4NNNYXN4sYtQSTkp2jKkqzXU2TIHJ85QU6spjrZjDcRIO934Ch+l98w/oT7zOxSrIuGhz6N8tJ32X/9VPvm3P+AdnzrDQf+jCK0KBiX8ouvs58Vl5eplppLN8OB6hEr4pR+uIstI2SzJogqDafe03djqQDh1GsVgQN3m58KpFRRFIVmu4dDtysiKQnwnSb2a4m6rB59JxeLUMop7V7kSLte6elVRk+s8uPYI8dJPrNOLankJw1e/QsXvZ+vwHlSRHSqnT/4cRvnys50P0WxpQFFkNtfSzMfyZESB82ObT8toTj6OIEmUjuyh197GhWgQjShi1aqpShJPbiepyTKzqQIb+TJz6Txz6TwLB3Ybyubv/S7bkpuobGMzVeDk5DymtI+dukSt9Mpv3v/V2MqXaTLpkRWFaCnGdtFKvlZnIjLO6fAJDnmPcchyC3s8g3QYHJzbKZKrbrOUvIhUt9KyPoEsCCQCjWQbjdzgcVIQB3DaMqjjCl/9n0dJJe3ccstZbnv9GLrGGsrSGklBw2DlIjsXoJ7K0yBVUYoCeqOA2n8FK7KfhEak7Mkg7OnB6buW7W4jnQ2jrJYS2LwRDjUd48qaDV/vftpt7WjKHvK1ArIpxppGDcUi9Z4uGhs9HHDs5VJ4lpE730RPhxfT+jqFsp7EloomTYCAbhnZ4kVnMZLSZ3A2CJjqBrZSfuoNetakCl5jmJq1gNYwTOFwLyr8uORlbr/jNH/4kS9xxU1zfLP2DgDMX0wSnDbhjq+Ty+cRcw9RNATR6TQIW81omnp5a9OneWPTnRTlHF/LfZxvJb5AOZlDyBQwChEcXjVDFRNdc5eQBYHZG/ZzyF3DrhFYvvIIhnwey8Y6x4PfJkmCK5XraLMOoS9GUYezbBgH8Bs26VieIdJ6EEtkCtGrZbHWgWunRNljJ1dsIJkJ0zYfI5DYZru/h1RAz9/fcx13fe5N/N1n38r0g29Ae+oPOHDq+wym3o3OUGfV+Vd8buOtPLb6Far1BSxeI1L8lT/8XHYLvszMLq5yuKuV1fUNev3+F+zmDlCcn8PYP0ByIobba2E1m6FDENCvLFA7ciWNN1+L+OhJTh9X4djnp9+xW0x0fi0J2wtUDrZiz8xgPXgT6z88Q4/LAVy2XL3amEnMc3Pb9VyMTmPTWtGoNC8qa/rDTyDU61z6jffTnK7C2Uk0Y2eRDx1G1Gh/jqN+aeR6GVH9wnWO4KnaVk+9V5KscH4hBi1hRKGVclXDv/xwjtZOF1c8/KNd+Vvfjrq4iVGw8eDZC1jTNaKKiuBOjZG9zSAIWBq0BAw67DoN0uE9SA4b/nPnqZusrASToBGpOet47b0sJDcJaDJojZfd7y8nCiAKApvRLDqTQKfV/1cdqwAAIABJREFUyHK2yBcu7MZa/daR36JUrZPMlsmlohiMHTSWVlmpCfgjdtrXg+y0BtBb9Bx1aSlW3Wxny3ChyLf+5vXkcwZuvfoE7+38IbqUTFzfST5fRDnsJeV0s11309qSp90UJ79iIRVoZn1+lWG/hrQpR6y5lyFBjWMgR5YunpipcqAzRl3npdXgZyO1zt6rG9lMFCiW67g1PlpamhgrBOiU5wnN12na20V44xJaeYD7Tp0hlDTRdbiLhvEVKoEA0YKTomjA513hQHiDk/VuVgshRNsIgmBgs7aDy+9DGw9zpRwmW7eRSZvRasLIzTKtayGkZgvvVL5J8rCb0mf13BJ/gI/9+Z/x2kOn6LtjnnWHjDOUQKvaTyUeYUnbTE9jDkvhVnrMbv4q/20mq3cTES/wFuUDuP0dmLU2YvUt2hc22OjvY1kpUV2yU5aqpPpuYM+DDzKR/hfmpTAD9Q7eXhpm3qVCVSoQCtXpvDSOqpjH2OumvjjG0uAAJF1o0zmy6hRVwUOqqMWoErh6abd0yl/rfoUv/PaHKBe1iCqJngOXuK53jeaROcR4FdlyFWumYdbkOc6Wv8/x5KM8zmmuCm7xNt+tr9g6/jGXLVcvI5IkIeVzaJ48RSXQTHHm0gvKKbKMXCwimkxkUiUqzgoXY5d48t5vICgKqd49CGo17pEB2s0FlmajSDWZuqyweWkSc1cPO9lx9EYtEztzZJr7qOd3a7hertL+6iFfK6ATtdSWV9jrHmIiNv2isprHHkH30AMUhkdI33Erp5t2z1WWRJzC5OSLXvfzRlEUcvGx5zRz/despNfotLVRraQ4fjZLS4eOgmaHhoBAS3+ZwW43hVAC8YH7qeoN3LOS54lzZVIzK2iNasqtXhSdjQajgejcFu2NNsaW49w9vcX85gaV4hbV61+DKhIh8/CT9He7Gep049Qp7NVL5Io1YhUB5akCppf5j/PsqvkXt9bwOptoMOmpVtd4YPU+9vsOcqzxaobaXcytRViJQjgRRRcMkhV8dETH0dQl5lv60QS0qNwikjZGPqflr//qdeRzBt59zXd54+tnmHf3Em0YQd5YJXHEg9+jY21FTYe1gMGoUFg1UY+EyWtFrhu1YB7toMPfwtXZHIsqmelEnfCOD1tjls1kmhtar6c4O0O9oROdXk1Xow233cCZS7vZ2xajlopWj01TJzt+noC+xJXXdZHYMtGxp4oW6D4SwK8R6KCAR6Vidr2NnEVHtyFLPaYjsXWcbssazc4UB80rdAeSrG61s7DcQMamkCsWiRRKiJ5R4ituLFo/rkKGrf199LLIUcsZ7jt7DV/53DtZP3UNRTGONXoOs7eOkkoS3SxgSSdoVw3yR/oPMGK4hR15nS8XPsmZyAl026cYPL1bImhq/zEM+V5+pLSzonORCezle0fb+bORMFbFwtuq7wBzAz6NxKrJwGm3iXNNh5lp2EtwUyBqdlANbSOHQ3Q7guBysyl7MJiLKKkA/afGCePnT85/GBUSV71hnI9/5Z941zsf4YbrpymbtewoXjS+Ev3dXbxdt4c/UX2MDwuvxSaYeCTxEL86+3HuC97zCq3mXS4rVy8jszMLtAoSztvuwB7ZIlWXkYqF58kVLk1jHBwiES0gamEut4k22kjvxV1Xw1Sbi81cCK3Ph9UAToPCpekQD5+ZptfvZEuYx2F2M+gaol7Po9WqkPbsVnO/bLl69bCQXKJTcCOXyxTPnaPT2sZ8cun5gvU65k/+LoogcOEjv4QoqmhzDiCrRDTnx1Db7NT+f7JuKvl1quYhFKlCvZJ+QZlCrYBZY+LEuUk8Nh8p8wq3lcwoF87gDSaJB08gLC9gie8Q238Uy8AAWxYPFVcLunSZeLVIIpXncNcSVpXAwolluhqsDPgkkoUS359W86hvEIC2lfOo1Sq28mGaLA3Ef/QQXbKWsKwjlFz/ed6a/9Ks50u0PlU1P18r4zZaAfjqpf8FwIdHf/NpL4Bdl2Y9r6Wcy7KhiuCuWGnb2o23yg530GQ2UlhdZ/x4im996jClsoG3v/ExrnvNHBXFjk2lJjSbItw8gI86i2sFNIobxazQHVulGg1T2NPAzTffylqthpROMjg4SIfLwy/vPUxBK5AxLeDT5+n1DZKM5Mkk8nibHE/PZ7jDRTJXIZkt09NiZ0vvw+W3YbNoMPb38+APnmCfq0T5iQKunWnUmjTGlmbMngZaslscbnIREVzUkhmoVdHVvMR28hjyTsa2PKQ2JPzJTWyWLFLYgkpqQxQVnijWsR5opKJzUNd3sOjrA+Czg5/iuhvGKNe03Pe31/Ctz32M1er1lBrUWPVlsikTQamD6bIZtdHPnaq38GbN+zEKBu4X/oE/kR/ENHaeqqDhvz/4cT7139/M9z9zPX/5B7fzxb8N8O5ju4lYn59uwWtwEJQa0KzXuNWRod24g0Y5jUGfoH6wky2fHb3Lja2rhrCZZqZgRB8L8fC3B9n6DFjrOe7SvpXr3nSaj3z5C1z/tlWopbGq7cza7MSVQXpbFIrROsGqiaB5EPdOBa/uvXyu7du81/9hWg2tqIRXtgjwZeXqZUJRFCqhbazd3Yg6HU4RUk1tFKannitXr6PUaqgMBlYXYyQcO9SyAVakLJqLuwHGGz03EI0UGI9MsuAz01AIs6PUMC6uMIsEQoIrjaM4JtfQ1GroXAmeTO8uJGlp4ec+98v8/IkVE7gNLiory5iGRzDv24d6YhYVItFi/Dmy+m9+HfXcLNmbbqF09Aj50Cau9n5SnS2opy5iaG6mtLL8Cs3kuUTzGYJFkYq+mUpxC1mqPOf7Ur2EXq3nrsdWaPebcTu1WGfmUZwjzFm6WVEbsLT00Vfafe9Md9zKVXsa2N/txlgUWTM6KE7t0OBb4aFgHps3Sr6YxxlfZTIqQUjFgE6H86bXAJC++x4emQ9zfDHG7ESYJXcvjkgarZAjXqo8XcLhMv8xflw1P15MUJG1tJn1BDMrfG/5uwy4hmi2XQ2ALNWIZ2XShRy64Da2soA/laRjfgFJFFH1DyHErJwPD/KVr72HUkXDW957gjdf8SNSNRfyVhb7dhiDRUVBLFLLCuxXpxmoXMJmyxCrWKl3dTLok3jo8R+gGKr41TG2CjNsZedYXnuUa5x6OvQmvBYHhzpGyEzNkLc1YrU/t2LlbVe08vD5LSpVCdFopLSygrG7m/GIjKOvF99QD16XHvfVb6YeaCcXnqLRUEIoVwiszNKwksHSY6bZKnKVKsaV60mS2Sm0YoRLci9LJh0tYgl8zeSbWtFnr0FXLTG2E2fTp1Bxh1kbPUxVq2NkfoLbDizz8Xd+nT1DE+xs+PjyZw5x3/+6HilnwptZxZEO4s3GSZU11JOgPfV6vD98BPXKrawLl7jlXWF+a3CUpXQHLZ0b3HLNBO0DW0Sv/Ag5Q45PPazmuu+V+PtT10BER1G2cmKtlc5ZCZ1gZ8VhJiyIeHVlLPU6jfUU85lmxv+xj89/+k6mTuzjfZq/BaDwm2quPjQB9XYK4Qyu1RqiI4JuU6RSLuMyenCbRNQFLfbkLFFPE1q7k41wkj79nfzpkbu4pf2VdQ1ejrl6mVhc3yJQL6NraATA0N2DbmUVpaGZ8sY6+pZWYNdqZRoeAWC7sk1RbUcpV9hvXaJxYZZkYzO0aXh8NYnfb8NuFdjyguvicXLtB0hVp3Gr29iYWGLb2YS1uoRcCpMytAGgLhQoBVcwdHS+bHNTFAnh33gKeHJ2hyMD/p8seJl/F+u5TfaIjUhuN4IgIOgNWPbvh/FxFjsy2HU2tCoNQiaN6Y//CNlk4uIvvRG9qMVV0iD1tyMMjiAsrqGevIihu4fi4gLGnt4X/HsVSWYynsKo0dFlM6D/GbSGiWV3qKmtHHJbmU7lGXYMUkhOYnLuedpqsZQKMjetYX+3GzmVJ7pyD+bW/UytxmjwWDFpjTS47AROngPgh7IT+9k1VhNFymoBMV3Brc8TCcrYkhJxYwSpJcPp8z5cR/20Hw4QeKqvXXV4D01zk2SWdqhRZrOYJOpT01DRkk6WuKLRwEq+gEowY9Ve3kr/vcjPyrw8v7FGb6AFQRD40pk/RlZkPuR6E57gAmvLCtnoFpWMFrFURKtJkVa7EFR2mrc2iXQ2EVGJLJzK8H++8VYUWeB9v/gDOvoXCCWr+BxRTJUCmy43NauIwwl2dZ1NuZmSt4K+WkFVkmgezXByQYvD2chVe/Yjrsxjad6P7K9RmJ7E1DZMZPtJ7MYGREHEqldYLz0/ttao19DqN3N+PspAm4OE8QoSBYFENs9th5p47J7TXPuGq9lcTeFz91LpzrNlMKNR9VLFzFXOGk+Mn0Q9sI+y9hjLqnW6NtYIdsyhbfSiTg0RSU8gKlFSBRVNdjXo/XiqYaRaGZ3XhU2VZXVwD70T5/Aax8g2DvMu6w84enCJux6+jskxH/OTt3P9jUsYnTKLU3aCKx4KhWdiHnXTd/H2gzfx3WOn+eIvjtEjXMsHHO+GUjPp+mdYrT1Ga/ogw/NNdMp3Ix4v8oXjb8GgKzPcssjWoI/2QBqnrBCPxqnVLSQ3/Xz5nutZWWsBoLllk9cfuZ+b73qYUGMTllojJo3EfFmPu5JB15ahkvCwLfuxFgqc99YZLsP+yHlWTL3UbdvYpBTljmayqQwzKzWu6v/Zr92X4vKO8BIoikI+fh6L56XbYCiKQn5qko6rjj39mdpmwydX2TLbaV66hK6pGaW+mzIvarUk82lC1QIWSwCXap7RuBlNsUDxNbcjJ628faiVk5EQk9E8XfEMlxQTsvIkSkWL/2KMU343qbUxhvZ2otpJEFGSSHo9Yi6HUq1SjUTQ+nz/4XsgS1WykdNYPAdQaSw/1TW1usTiRvqycvUzYiO7RYulkfLMKpZnNfcW9QYs+w/Qef4sE8okhxsOYPzC/0RMJEi+9wOUh3opBxfoHL6Ru2dDvOs1d8DdP0Azdpb64SOUV4PItRqi5rlB8dV6leNrK6jkGsOtnWzky1QkmTaLAYvm5dlCSnWJeGab/ub9zKwmMdi15OsSJns/xfQsJscgiqJw+lKIG3sO0uKoMvPkFts+DU01AxbBjI0C4VIZcU2ga+wCxYYWJI+Hs5FVhIAHCQ3N+QWS5QxuqjTKBaKrZnxtVhaacqwuT/KATuS2gIcLG8tUjzYSckzyePTXuKSOs1MIQQIethzjt1UfodLeTScxlnIqOq1GTJpXRy/CWiKO5qlm8S8HW4XdLMG6XGcjXuN9V7oIpdb55+B3aDa18+brP4pKVPHYQphYuEa2zY0qOY0g10hud7B3+yFERWG+Zx8zjzTx53ffgSAI/Pr7/5mG/QWK2x2UDRWiYhbZ2Yy+wUyjPoFZ08jpGSs2UwJ9wM5gMolhz36mVjY4dnSAbk87izMRPLKAIkm774WiIKp0tNraaLO2UF5bJatz09PrI7SZpqHZ/py5dTXaiWdLzK2nKVfrFCt1XnOwmZnjZ+g7uhdBEGjpcLI4E6G9bYClxXWKrVXE1QzBlIvGkZswry4R0lvwiwYyB5w0BnsJyhdoyHSgrfjRKyFU3hay9TIGlZuKUKPN3Uglu0ZQaqP9yov0Tpyj//g4c2+zkN5qZ0hZoPJbZbZPjvD4ff3c/8PBp8dsseXY27tM99ACR1piOGrbvOHrM3x8ScvNH/KzqDzBp7NLXG8/wpPxe7CLXt46/Aair5fha3fzmf7P8nuOzzIz08G5pRFYAtU9Ei2dUTr6IsxPN7O9uluXcWBgi6tufAilZ5XbH5hHlGW2941iaywR1rfRHQ0RFTKYqwaEUopgwclN1iLnjRUKgQ6a5k7irJtZ9A1grc/Srm6n0mrHHX3lwxwuK1cvQSW/hiBqUGQJQXzxjXMtkcFdLaFx7PrcK+UaOr0GQ2MT7IQwDO+hMHkRRVEwj+xBURTunT6LWtVEl65KCRHV174KgOnIHq4c8vMvExu4JRXdeh2qjMKOzkF/UiJSFjjVm6OSSqPb9jMnLzJ6aITO2SnKNifqWAxjXz+58+dQmc2oTKanx7mdD7NWDdKmfX5V6xejnF3GFriGQnIak3MYQfjJnuRgKMv+Pi/JbBmn9cWzvi7zb0dRFGKlOMOKD/kFlGdRr8d+8AiBsRMEww9z6Ct/idTUzOwd12FQNJjVFlYqEsX8BOMtA9wAyGdPwkd+A/OeveQvTmA58Mxhopzf4qFwnhFfCw0mPTPhBfY2DaAoCmv5Mmu5Eg1GHS7987MN5WqVzOOPoQ00YBocetE5SYrCXDJFn9WKoigUyjUSG2UKDRKjHhs6YwPFbJC7LqQYbW6j02tk66EfsWqV0IgdkLPRM1LFoIJaOkjnygLqYp6lIzdTcAVQSmWknQx9yQlyEZlgR4A3hBMs73egf6LIWj7Ijl3FQmic+85+gU/VghTrGfCz+1OZwqk4uMZzlGg9x1jqFJ+vlfi9oc8zoDcy7DQzmczRZzM9p7H60/Orl1CpX8EmZy8zhUvTqK02zHtfnjZA+ZpEi9nAdHwet96LWhT5x5N/Th2Jax3v4Een1nEbNJRLcYpNXqI7GwxUEkyX21DXa/Ru7MZbzemu5UvffR1qtcLH7vwB6gMChQ0zFpKIJQ0YRsn7Ihi1CbT5OhFR4MBeN1pRRaUYoy63s5KNMzTaTLdnt65Z94CX2bEi2uVlTL296JpbKW+s0/6UJ6K8E0Xj6cLmMJJOligVqxiMz7wLLpueYDjLvh4Pj09uc6jfR+XSRfKeZoa81qflOvs8LM1G0cgyextGObl6HLfejVlrJK7xUoxtY+kxod+UcHQeoRyHLZ+EI5RnaH6T6qBA0hGgVZNnQVCxnkjiqShY1Zvc3fgWDhjuov/CBWo3vAGbLUqibKItEca1X0f/vgRTT/oJkMR2SMJgXqWznELIaXCqVilGMthzaWZ6ruT96l/gkuoR7infz/fj96BBzdvc76dFb6V80zb5e1wcDT7Gmz7xKDe/YZ5SNMPZC0PMLO9hdTHA6uJuYc/hoQ1uuP1hbIEQcZWCI9nMyMVvIKlEZoauwleNURJV0AcdGoWlaQ8qXw0dKjItGrozOdicQC2o2adfIJ83UzX4icUfQSt2sWGwvSxr8z/C5ZirF0FRFKR6kbqmg0ph8yVlU4+foPHm3RiNYqHK/NQOkVAWbaCBQC7FanU3dVyplBHUak5sTyIU/DSqiyi1WTIXp/hT9yWiJlj3qzm/ME2nPkE8uoX54imWDFWucFbIKGn82Sj1ogVLrBF9c5RMxcLc3ArugX5yWh2aRBwUBfP+g+QvXkCRJLZyIS5Ep1AJIga1nnzt+UH2L0S9mkFQGcmNnUOr+Cmm536q6wrlOr3NdrZi+Z9K/jI/PQupZXod3VQ2N592Nf9rRJ2OpoPX0P7JzyLUaiQ/8Kvkmj2k1hbp2nM1U1sr+LJNhAw1yl4vmrNPgqIgqNWobTZqiTiyVCWfmObBiMzBxnbarCa0KhWiqKNcySMIAu0WA8NOC2VJZiqZI1QoP2cc4SeeZMbVj8ofIHvmNHK5/ILjnUrk6NbEMFg7CMULJJMRBtocrARTZCs1BI2Nk1NxGlxJDjU0kDt3hk2tmm10DFh68Aa0nBzLklP1IdVb2fnebir39rFRXMYIWmOR/sgkS+Us97Qtkkh8k/9h+0c+v/4X/Lr7s/xB7tP87eYnOcUP2CpNoEZDj22UW1vezvf+xcDSt3ycG72Lf/7FH/Kdaz5Di24/T5TH+cTjH6eqgCyV2OO0MJsuUJWen0GYi5xGqv3XeBfkcgmNx4u2qYnCi2RDvxDF1Cyl7MpLFl9dzWZptpiohLb5QfokIire2HA7DrOWglokGMmSraTRFhIsZB3k01qcpjzdc8tU1Rr+8ME7EQT44LvvQX1DHW82D5oaSn4bq82FWCnhkHyEgwI7Whe9Tg8uaZq1kowvWCPXbsHfqDDQNPL0mARBoHdfC0uLKRRFQev1Uos91XIsGiVZ1dHUtnuobulwshFMPm+ObpuefLnGLYdbscY2WFHsDA80PkdGpRJp7XSSzWmQCln29rQSroSZmd4iba7Re8RGdy5LV48dY5Odw13X06ZVUdqnYqq1mxG1icb4PEJlA6dVRyAgY28xYTO1EpCKjA9cgSmfZ//MDNFsKzmtGWs8h+yN0myrcfjWNM1X57Crp3GVV0nozGxrDFykh/5LFwGYvPJqZHcXNzqv5f+1fZhusY83eT9Kl/cowUQj+YyP6f3DaCoVOraWOOQJMtyi5h1Hz/KhP/ki7/3z73DDuy7ynt/9Du+/88/wOuNs2wMIko7udJTA1jpz3QfQKTWmXG7mdEWSywU2pjtQNaRZyavRi1mmy2rUciuJwevIadSk9fvpdqUoaew0rRmQS2sMq1/5NnCvKsvVufkt2l0/nUZbLWyhNTbxo3Nx+gMFel/EI7aVymKXqqitu6eQ7fUUUkuKhfQOSwURvT5HeGucVCmJUq+zs/gQuVKGYrmG1gqT4ShfK/8Fme4UJ94t8sayl8ZMmmS1mcZ6nFmDnVJBTdKWAJWPXIeEZ15NiyrNUqMZU9BEpBIltlQh77Di31xFyOfAYiXT18L6w9/Bd+x69nl3NwyXy8Tx+bOMel7ckvBjKoVNpMUc5j2jlDc2qMZCiL16DO6fHM+lVolI8itfyO2/EnW5TrleRhNNQuMzm/MLWVZ1Y2exnxsn3tfFyp5e9DXQ29xM7MRR4hkGD3WxEQ8TGdxL66MPklyeR9vdj6G7h+SJe1ENd3Ei7+XKBjsewzM9LQd87UyF5tnfPPD0Z40mPY0mPfFylalkDr0gkB6fpVKzYtTJjG2WOXroCIWLF9D6/Oie1ZB8Pp2nw2JAVQJZhntPXaTmtiAthmg0G/mHx5bx6jX0NLejqj5JZuJxyk0mls7p6PA58DRauXjxAj5J5qEzqxSEEr07Jzl3SORe2xRr498jXt8iocRQUODHsf55EBQBn8pDUy2A0+rFa22jRXsIXc7DQLeOulJiwDxL19QkF9bGyVribOSqfLTpffxDTM14/CzvOfEx/ubY53C7Rxl1WZiIZxlxWdD8uFVVJYlO3UIlv4HR8cw9+89KaXkZQ3cPok6HUq2+ZJzej5GlKoJKi9bgp5iaQaN3ozXuhgzEy1WcOg3hQhTKVgIuA6fnH2E2P0eP8QpKVhfJqsTUwjZWFYjrUZSsnUxgA92GDj0hGsIRThmuIlZ08YuvO8ngvgLbgoFUWYJqHYs+SzZdRdrfhlul0CZv4Om7gePb5/HmNFyZXWe7rRerQ2TQ93yrvlqtotmrZnkuSveAD1GnRy6XKa+voXjbUal2n/WPXXwbwSStna6nr28PWBmbj2LLx6kJIorFhkn//Hp0BqOWtt5WZiYWaOpsxlqoYb9BR7u1hWykRl54mAatn/PbWbp73LRYh3CNbzHfXWVqZ5vem97Kxtm76YsEyahSrDS+lnIdaj0WYqN7YPwR+rYmyTga0ajqbGibKQVLRF1ZCrkiKmcem1LBXPYR1rnoUFaZa5EZOTdL0WFl56pGWlVJ5JoLvaqJX28+gF3qJhjKozaLqDfUPHT0Fo48dIKjDz/Ed27+fRrzSXSaPIVYI87GBKbbc1wVnkYK6Vg9OIgtM40720Tr/D8DsDPSws7eGlnhAIewEyvNYZc0hNNWjEUnDouOTGiZLVGHqLIg1+0E8wrusoHWxiILnj7a5CIR5yvvMXlVWa6289tEUj/dCbJey5IoaDjY7yNfkoimii8oF3/8BE3XXANANl0iXokgbI3RpVPTJgg02zyMJrZxKRXsLitCKokvtwdXpYtKTOLvt79ERk6xPwRTPplvRD8L+gpe6TzLyjK5kpVOk4Z4xEXC4mMzaqO9FGLdL1LK5sFQQjComJBT1LW7GmDozMNciE6hMxgZOHwLpuXQ0+MVRRFFUX5i+45qcYf6ShKz3oDtQ7+MRSViv+IGisvzZMZOPx0/9q/Jl2qYDS9eyPIy/35mEgsMuPqohkJPJ05Ui2FWl45Te/bzkCTMv/87AFR++1Oczl0iE96gs/0I0ztr7PF18p2xH2EXHIS7d61f0e99HVkqU0hOI3X0cnalymHvcxUrAI1KRKM2UCxlnjc+l06DkKoQnNimkCnhOdyJ0mnDgsBkMIll/0GUukR+4gKKorCRL2HXatBVtynJTh47N0bNYKejpYGCpoTfbUKjV7EWyRNcX8S4A1KTwNilOklxh6Cwwu//8Pf40upn+MjOb/CJ1Wv51OodvOOmMB+5VeaB3F3M1y5QpEyjtotDuiO8WXUbNzs+wn8TP8gn3Z/gc7yD1/EeXpe4hcP1/dRFPSFLhkcna8j0sr7vKgDyp8c5W9BQcRzB4+/jRtNHuMY0xBOhU/zSo79GvppDFARGXVYmE7mnDxbV3DaFsTmkdAGp/sJ7yH8mlFoVUbe7JnSNTYgaDeW1tZe8ppJfQ29uQ6UxYXIOgSDurrNajmipilEtcnwrhCSZiW6vcUY9A8B7Bt/CgE5HfT5Bg5LDYoZQzUypMUOt1ojDq8O2smtN/2HpFg4MLnBo6CIpjYhmNoQ3vYMvF8RaNGO1QHsihmHpHCWxm2AoxmuFOh6HizG7F2ergwG3Dp35ha3Blo4WnGKe9eXEbtjF+BipPDS2PjfGymDUotGqyKZLz/lclUmQS2ZZku2MPEvx+tf4AlYSMZlKCbr71LgrDWQjNaR6As9QM6tbEqMBhY1EkV5HF6VWG0fyakqCQGLzCYqd11Nol9hxtyGsXMSeXKZ9dYqZY8MUrDa6p+ZpdSYQKhId0ibteZkdYxBf8w4lcQMhXSIVTyHlF3jMbqH1iRD6cpmLh0doocR2OMxaVUSnNxPOKsyrziCbZhFjaea9zTg9DsL9TbiDa4jL66xaj7Fl6EafKBPONDCSzpHLthHp7MeTCKEUtUTMeQ48/hhlo4mT1x1ByQ/hqzmposVGCQvRAAAgAElEQVSjkckNOpD14KmmyPvD9OdVRF192GqrxIe81NQh6lYrTeU1dH4juXwVVdr+ovf458WrynL12j2j/N2PnuRNB186VqBaDKE1BgivFxjtduM1N3N+cRuDrhXLs/zpO9EEZrmO1usFILgYRxYnGM26KE4+CsUKcraCbXmRvL+ZejHM7fE86cw3yKkTvOXKZZLmKr87buHT9+a44/9p5X7zEv975g/4Pe1ttLXto14pY8rnqFoLRJMRhkQ1aa+HY9lVLuUbCPni6FOtSL4UCfduDI4+EmdIOIbW6AEjaPIuSivLGDq7AOi0t7GSWaPL3v6C81cUhfz8RUyBYUz/8h30P7wX1U6Y9H0P4zx8K/nIOPnJCUSdHuPAIIL4jI4eDGUYaNttaisKApIsoxJfVTr8z4RirYRaVCNvbqNrbQN2Fau1UJKNFT/p8gQOby/tASv6b38T9cw05be+g4zHRa8ss53Y5PjsPAfbGxkbW2LAdYyzm9v0jh4C/hrL5BSF9AoFQzdL1SJtrOFRP/e5ybKMKIoMeFuZDM2zv/kZK/BWNM/SagKXVs1eTQLvG69iIVNEyc9Tlmp41D6WNzV0tbUheT1snDlLpaOLFr+bpcUQ8ZyaUNlMRqqwNb9MW6uZu6e26XfLiLoF7p07zj+aKiwszhKvr1OmDNFnxqZFT0DVRHNWzQ3nF5E7h6nefCdCrht9OYvTkkG/WuJ0QKE/4mJfLo5gbEAQNykIJZIaHd50BYfRj1VrImFOcnL1HH5PFzcCrYsrrGsMiNoddJJMXuPm043/H3+Y+DSPxsZ409038Y2b/gaPY5A9LgsTiSx7XRbKG+u4brmN7PgYZVtwV7n4T8oLHcj07R0UF+aphLafVviff51MZX0DXVv7bmarzs1O1UQutkOsWEBLCzatTFO+TK9Jw69M3Y0KDa1BO1vlS1Q9Rfo1GS5sNmJRb1OQ1uhTvCQrHlof360NOOE4yNvfd5qI4EOWigyoMsy499GdOsOmpRPHPjcbsgG9VU9b015M5RhlwYVd7qCj28TwnkY2lsdftKOG1uNFu7mJtcVPOJTHotNTczajf4GDZEOzncWZCGarHlEUKK0s0+tSczZrIGDToFa98H4oSTLLc1Fae5rIJkM4Ow1sbxdw+8xohQibm076r+miurxAu1ZkcqpI04ADt2+AzolH2JlewXDMSk26kT6/llBgg8SOFl3oHHVDjdWBPoaePEtaKBDp0FBLGtGZwnhCHoKeLF65GadewVIcZ0kfoFcwcf34bnus8yM3kAw3UtNoia9oyeg0mIQm5DUr2AWM9hh2CijVItMDh2iY3aTtiUlO/PIQeqMFy+kJrHKRhL2OYDez47agxC7g3eli/+YMpnyO81ddw54GK4/LrYwYTRgEEbXSTX57EcnowNPiRLVyL/mmW7BoVQiLIrYWM2pdE9P2JO6tPG3dc+QHh1ElY8DLlzH/7+FVpVwJ2TyiKFOq1jBoX9y6UqukMDkGgRiCIKDRuxhpjnJxJcHBPi/ap7KCYuPjdAzs5ntuBBNUiTB44jzeP/76S4/DBG94L6yZ4XdOwu8/USfp9XFb+wdYL9/HVO4Mn9Ke4V2FA+jECpuKg2QJ2vIedOFLGBxm7qvsY8i4gVxSsBTrbAt10p7dE2VpbQPV2ioqowmVyYSuqZni/BzVyA54LFi1FlbSay86vtzSWbTGBnSNjRTm5jEDmgvjGP7PX1D68K9hcg9R1q+iUzeTHz+P2uHA0NUNgCQpT28eTR4zW9ECrf6fLsvwMnDP2OPcuv8oqn/l5ptLLrLXO0xhZQzLocNUi2F24mkKRQcD0kVKgh2DTs3YuWVu/txnUIxGMr/xMVazK9TLNcyuA2yX1hgoeSjX1RzptjG3lacoKNS0GqwrO9w9tYijx0+LWU/76DCFqYtY9u8GtyeieR44EeTAkI+ePi86jZlCMYGEhanFGJqyxHC7E1NuB1VDJyVZQZDy9LoCbNtdbCyv0WBfZmtTRUkrMu9Xo5l7ktNnCpjtahRDM7FalSM9Nu6b/Rx/fXKOFGFyS8lnbkIJRETcgp8hdQCrOEK70YemFMBjrEHNwC985x8ZnV7kfx+7k9RmOxVzFYsrTflMlvEhAadqP/2xc4zL/Tx50sU7R6u0VKdIiU3kClmcaRWzDaMMl2BG9mIYaCXa0EBgaorEugl9UUKn1dNiz3ABB79p+mWsFjffX7ufO4//N/7umj/FprXQb/IzvblIm+hAUKsxD4+QXXoCvbXzP21we3VrC+2zXLo/xtjbR2F6ClGrRfNUj9MfUysnEGUD0a0NItE0WpcToVwmUCthAbQK7CTvZUTlJjY+w9kuA+vFRQ5oDuONrhEplrA3m1nOD7AjR2nQrmKrGtjIeclFBXpWVsli4fb3bODeWsN/oJvN7SRJdwuWzQwFrYi930w67cOoWmGw7qStSc3mmgqpbqV/TwBRFMklV9C/iNXq2TjcJmrhLCF9M17vi+9r7d1uVhfjBIgjGo2YWlppD2dpe5G9sFioshlM0tXvpVqtE1qNsb6q0DdipJhLsBaE4SPdiKKIun+A1QfOYXHaaDG2ExY3aR+6luJD30TZzFJq20Gj1ZNPlqlsTLK634lYiDJxzQhDT55l4JGL6D74FiKpLLWEiWabSKrWiclcQR8eY8XbS2+uStGVoXf6EsnGAOUBK/5yHpPTjBuBjWiJigI2pw6TS8Ium7AYipxKN7N68y1cfd/9XPH4Cc5cdwseu5GitZOBjWWylSZSvmGkZBZrvIVANULryund9XXtISLVBsxGDUmpjqBX6G3TU70os2T0s7dVQzI4wrqQYe/qFuwfIJ7LMew04DCMku6fx5RPkzKvoXrl49lfXcpVfmmZ6/t6ePjSDHfsG31BmVophkbvQZJlBPGZU4wgCBwZ9PHEpR2ODgdIbIXQKhLG7h7KpRobwSTGwAXckxsALH7kfahtFnaiaratDuRciKShn4wuz1+Y/oxNJcZrjVcz8tH38+2PiRirOzQpjfzK5m38qSbGTO4sdykqfsVzBwkTOIPN2IUdKo4eViomdNY8xmoas2gHwzrmRAMFz665OZEsoyuWyF04j+2KowhqNca+fqInTrMTq9My1IRFayZTyWLTWZ8z/2oiRi0ex3Xl7bu/L+5W/C5YbRj/x2eovuYW6OxGrXUgkcNy8BC1RILcubNoGhpQeMbX7bTq2IjmLitXPyXBrRDGkpWJ0AwHnhVUmyglcejtVIJB9J1dVIth0rkCmboXy9YsufZ+DJE5dP4k1zz4DdTxKMsf+E3kVApNsUJUY8fRZMFbFnn81ARDvQrfeGCet12r4/HFArn+ftzTl9BU85hVUJYV5vIVdEYb2nicbF3H8kaK4V4PkVINLkVo7fBx38Ql/IqL1oCFlj1O5FKJUiiHoaub2USWblWSKGaWM/Po9DUuVCCzXkKlN9GuVpBVel7TmcZcbuG8LkBRqfHPk3/I3dHvAWAVnXQbRrEL3fi03RwyNlEI2WluWcfgO0ohOMtKOktbLINbraJq0dGxPUfRaGZD34bNLaGStwhPV8h6VFS296DbWuWLF17HhZlBalUNZx4/xC9/qMJoOcSKyYhtfYU2rYbVhi70tSLJWJX8yBDeBx7CPP8gY4V+ulrM+GSZyWqJQcXBxw9/FjUK3117gDsf+xj/dMf3sShl3LHzLHgPcUCqojKa0IheSrE5zIGXJ8vu500tHsW8d/8LfmcaHiE3Poag0aK2PfOfrVaOIgVzhNR6erIxjD4nms5WRL2ehUyBXquJe9dqtEbBut/IN0LfBeCY6Qridg+SXEM/G2Wnsw1dZZO8SSaQMhEuGJn4RhPdyjITTUfpEWaYdvVQSsQwqhzs5E0YtVHsZgcxdRsjjQns83nMPftYnl2luc2OxdWB+JRVXaqXENUvXTpG43ZTjUXxBryo1CIOl+nFZbUqtPFNMg4HgacST9oD1heUTUTz5DJleoZ8CIKAQa0F0UNjc5GZC0HUqjrdg56nxxrbyeHfN4B6bYa5WRXa1ioDnW4Kx97E3PFvITTcSlnSUb20gmivIqlqvKPrJgzdaqpf+wE9l5YYzxjpVGeISxUqeYVWfRxrKMw2ftp0RuqKjaH770Jdq7J9YISezTQaIcx6oRdfe43eDjexQp6NkkiVGnWnwGKmmQ6zAWcszdzBUfY9/gTu1TGq7T20lrbRGQVS9kaipTkC+RIJbyM7rRq6v3iefIOf7GgzeUXNDZYkil6FJOq4b7GApbsXXbrE+sxJVE1HSegKHInFmF1ewLL/MOGpS7ReY6Tfe5SVUw8wYNQhBXpe8ln+PHhV+WtWVSZUq+uUajVk+YX7gtXKMbQGL6vh3HNeBlFtBKnEgV4v52YjRBYXaQx4qdcVJs+t09Q0g2BoQDcxQ8li5rtDN/BQdz/TV7YxN2qmMnoF9Y4Cf+n4MptKjOv/L3vvHSXZWZ17/06dqlM55+7q6tw93T09Mz15NJoZRRQRSSLZYAOfPxvjyDXYvsa2MGDsDxuwCbbxWsaYLJIklMNoRpPz9ITOuasr5xxO1fn+aF0JWRIIrrC5i/usVau76ry96tSp97y9372f/TziXu4Z+DMKjU7CpSxLsS1Mp0N4HU3+fOMf4xPaOVc8zr9nD1JNyHhbClqlSkRtQt0voPfVmHONEow3qEot9BUNceO6uXMtU+CSyoLSVMgdP7bevh8tUO3YgC07R2wlRa91vTT4o2hWKuQvHcGx+9bnXzOvLdFwOHj2vb+LqlrF8Pu/Da0WksGHXM/RkitonE7MO3eRylVxrk7QSKeA9YCUX2JO++Mnl5Dl5qsePx8Kc93eTVTjAtnaC5ympfwK3ZYgcjqNom9QqVZYTJnpNYMiCkRkiZolSPHo0xj+5Qs02wNofv93ORKeYzFZYOvwKIVKiVZGJq1Os3q2hllq8MSZIlGVgQn3AKpWC1uiiW3tMiN2EyN2E+7ebo5eXuRqpshcroR99iB2SSRUb/DM0/MYi2o2jmjp7HUiCAKl8YsYN29hsVAhaJRYKOR4ZPoy6YiGUNGDErYjtnXSbBgpqfX4+jopOke4qldIZ6ZZWn2GB+I/xKpu45OBj/E3rn/gPcF72RF4AztV2xlaVfBposwmLCxNXEUqVdhel6iPdTO9sxOXKoklnWR5cJQxZ4aMpkIk1UCpt8jJu4g/4eOzX3kfpy5sQWusMTq2SDFj4ot//5scWduESxZYsnYgJJepFdO0qika6VnO9q+Xzwcvn8FoSrEQTVOUQSxnmXV2UVtY4LM3fJF39N/DpeQl3nz/LWSKVQxaDyPeTi6EpgAwbtxEbXWNVvPluyZ/0fETaJqYtm6nPHmVZqXy3PgWzVKZjN6MRydhv+l11CNhRL0eQRBoKXAltcKA3k0mVSJnGOBI4mkkQWJ/XU/G5KGuamcl2E/H5FEczOIU9cxpujn06EbGUutemurNJioWM1mjFVPJTF1nQkjncUpF4sNjvHnIRiOVpFD00FKlGN6+BY0koxLXN4KNahKdwf2Kn+t/QdsRpLa63jnudJt+7NjC+XP4Bjsoi0bkxiuvAauLaWS5RVe/60UlSZUoodM2CARKdPVq0FvWifb1mkw+W8XpMWHZsZO27ArqnJm57CLDm4J0uAbIHz1P4bFnGEuX2eccZkOmyszMCnIuR/na/eiKJdpC80jtFtRGLdZ0iu7QBaQUBJp6vJkoRofEwPwEANPXbqG0sYfxtkFG9CX6u69HZxHRdG4n2B1kzN9EyQZx1yOkyzkmHEES27YDcPPBo9TTK6R3XcfFXd30h56m25ih4gWHWGb02BXEpkx0x2YSQh9+uw/FZWShKTMVqvIrewbpVPt4nRocm7dTVEx05gqEBuxkjCoKl46S6ZOYHD/EeGiKbI+X0kICW/VlbMD+i/FLFVzJbpnQUoS9/X0cmn6prIBcyyBq14lwhVIdq/EFfpXWGKBWDqHXqvE3M4RyLaS+QeYmljDo4mSFAkpGhSEWZ2mwj4JZIpe0MVsSyYeDXKgIfCr7RVZqIcb0t/Nm9VsxLM5TrMzQlZPIGScwrNUoOvfSoSnyEf+7cSgOjmeeZL4xRdy2ynK+nZxY4dC3B/jch97BX33grZy7OkJZMGDLJimI61wnbS3FYjVN0jWIUq8z89hxFKWJ0x7BtMVG/uQRaLVQIdB6znxWkWXyZ05gGNuEoFpPaC4thbGkk4Q9TgxjPaweuAXd6VOI//oFAPTWQcq5mee5GDGNjeAN+5HT6ZfY/vyyodFsoVIJHDsfelXjQ8tprD4NoqjCb/Aym1kAYLWwRrupjcrMNOpOO7Jc5VJIx44hD5GjZ8l19LF/UxtZs4fur3wVoV6n9JF7aUZWsVbqaHttnJx6lnjWSmytjEurZcqgZYN6DrXBR2dbi9X29W4v+9GznEwluDAZ4cJsggvnwhgUA9L0DHsJsVbNkFw6TT5cYPfuDnZs7uHsRARFUSjPTKPv76fWUig1ZMKJWVYbVeyLNfaqk9jdMTwBA51VgaBbxqHW0quX0YldzKTdTGRdHMn/Cy2a/A9xBwNFmYAuR3oxx3AsT12X4/CASKijgUU7RD3hpFXT0+jV0uFOc52tgWd1/ZplRru4mBdJ1vM4ZtUcPnsPD3zyWp45sRWNQWbfG8b5tQ9/nS0f+DJ3vutpUODL972VQ0fGKPoypHUe6uoSqmSDrR6FZf9+ZI3EpvFJDMZe6kqWvNTCL9WJZ5Isl1VIWief2P5B3rPx/2EyM8Mbf3gL5fYgRknCKBmIFPIIgoApMEZ+/tRPnA/5E8dQmq8+MP95o1kqIRoMwMtzr2B9M2XeuZvi+bO0GnVqxSWaa2WSgppgTyeCIKDr66MyO0uj1UIUBJYKMdpXY8RcPWSERULVFUalMQRFizGVQlaVIB4jpm/RXWqSE4OMn+pieryb203rxrzpziCTQjsuVYm8xYlWqaG4TFisMrs6e5i4OoE+bqF7gxqX3wtKC0G1vrY3G0Xq5TB6s/8nXoNX4mP9KBRFIX/qJPqeXjRuN90DLhZnky8Z12opzFyNYXMY8La9NKNlcxgoVSyYnX2oRO3z+oKLs0m6B1zPn0/HjdfRujhBprRePt96920M1gRGggFGP/A7lNpt9OhcqLZuhOFRLtxwDwC9VybwDmzFMdZDc8tGDC2JvnYBvVomp3OjCp/BPT1PqrODaOctdPr6uev6G1D327AnL2BwbGCjuMA+c4wdA3u401pmeNM2+twW7AWZJWM3WY+Hvsl5VAYNFzLnkUsVFnu8ZBNq2lcq9Fdt7Hn0flqCQGjjMKXwKubwDL0VI+64iW6zg+WFAp5qhZyQoS8wSkXSsFUxkS/Czbffiq7hxbpcY8zfRYfQRb80guQwMpf572+q+qUKrnYER1m1NzDlCiTypZcsErVyGK2h7fnnjUqCYvI8tdLa+uR+rsuukIzR4zDy7NlpRKGI25NnTXBReGA9YFvq7qNKmJRQoM3Uhten8LXqx1lVVhjR3sTv1vbh97Uw1ps0dC2W/f30xuNo/YN41ubIztaRCmbe6H83FsHM/eWvc+hcji/ddz1f/NO3cu7xQSoFFaK6ydcfvQmTIKKSV6kK6+l4Yz5Hl0vFs4k1jjcCSHIUMXYMg3UDnq69WLf7WXv8GfpsPcxmFp5fEDQbHOitL5AAxx95CpWikG0f5HKmzjdvfx+yzY7lEx+jPj+5nsK29lPJzzz/N4IgoO/rR2k2UWQZg05NufrL5782E8kxFLBhbbcwO/Pj1YJbLYWF+Cob29d5a3aXEWfTy3x2iVg5gdfgppYPIeglLq5o2TXkpTo7Q6utC0FUoVIJ7ExNYz9xmkJfD6W73sTEyjhNp0JdNpIQ+5Ejy4iqAouJNno8OU4XA8hXLqJJ61nbvM4bbJ+8QEHjpjF9gUa0SCtboarSEZ8PcSWSYbo1RiVcYENHkYVkCY/PTFuXm/PHLlHKltC43JxK5GgqCvVWlPJKlQMb+unZfC3eiMjVyCTN4gW2aRSq4VUuHD7HifsPUc7GyGW+z+X6FGNKF70rGyip/MyFq1hbq6wIWoxWEV3FjqEis6V8mWFfjFmNmVzLiFjWMR7pxntyHIDJNgtxg5alz+/mM//+e5w7NIgk1bnlrU/zp//8NLvuPsqgHMZt2s4NG5/l/e//JhZTifuP3sbpL76FrKpBR3yWVluCdjmGZoOV5f5RrOFVbp4+i0WlZzG9hlpUCBeLaPMtToeWUAkin7z2U7xv4D3M16K84aF7eHrxPOmqieVMDEVR0LYFaOUKNOuv3Dko57KIJvMv1AalMj+LrrcPpSVTiJ+gVnx57T9BpcKyaw+FU6eoJSOo3e0IlTJq6/qmVXJ7kPM5ltJ5dGITd6aI4PGTLtb57tVvA7BTs41GRSJvcKJW1dD16dA7GoybAmiO1jnxwEb0+gK3qJ+iZjCw4mkjrtWiyTSRNJCK1+gyZxGFTggtovbrCQh51G12JL2XWnEZnamLamGReiWKwT76qq+D2mxGzudf9pjSapE/fgzjxlHUtvXPq1Kp8PjNREMvZKKrlca6IvuAC7P15SUDbE4DxaKWSnYCrXHdIia0lKE9aEP1o3QVlYqRu26mcnKR1VwItV7P6DWbGLj1dZQbFVoLi/Tuv4N6bY1HroYZfNPNyMFOuo4cZ80q4RFyiMMb8A32479mN6Nvux7HwEYG5uMIisLVzVvZsXSCHnsAr9FNwdfLciKGVgC/bysarQ05lEbb2U13LE7n6mU2qRNMeftYHNyB2Gxy3aqGDk03TYeJsHYn1QEzGVsntuxVnCuL5LaOMX7tnZhFJ22eHh4/FaaWK1JLxBlSZenVlKl0+4lUFAKqMqmahobDRXQpQc/uYWRbgNi5cdrazdAU6Ajsw5d9edP3/0qI995773/3OQBQLtfv/Xm/x+xKBsUGpXPzOPv7CRdi+K3rPCW5UQClhVqyUqnJlIpxrLo6StOLqBWolVYAFYXZEGWjBbG03h1TLFVIiVEuzpoZO/QtOheXWRrag0GnZ7ajSk5u8fXEXxOpTbFJcx2/lbmevKRnqtpNflDEmNLhnn0cG2ZsdRXlpTViWTjndFG4OEbp6FtIdTxMyHWI4tR+Onx2tt5xhDfddRylYWJhxoel3kS1X0Ys17jp4KMUzFa+v20bvpoKj02k4XFTn1yjrqhQ291oNJCqChjWQsStKkzTq0i9fkSjBbW0rpJdnZshdfAhhi9eYL7XSfHAVsSqCsuOXXieeIj8mbOc2X4TclPCpIOmXCZVFDEbNZyfi3IhFaMVn0L0mokl6/jsv1i8K6NRS7n88xOam5pPMdLnxmvRMZspItVamMzalx27PJ+i4SjSaQsA6+3cmUiVyfpVNrmHaUyfRwr4mEpYGQza0QstouNTZNU6uuQU+Scfo/3Tf4uYSLD4kd9manKObKFIpL2XhpJDaToRKjXW4hKOchFVTKKqE8gabVjTa3g3SASeOokjEeHkba9nVc6grdoY3RHELNZQGkW8jTny7Vk21bWc1/moZbMgGtgQ8JC8fARVcAvHl1O0O00EtTmycoXIYhHf3BVOXwqRFST64wsU12qcamYxWrScKflJmNxIThVfi/4ldaXCr5Tey9KAm3CuBUIVk9tIHQ/JrBFHMoWnJTOrNbCmUtGj19ESGpg0Lnyly2z96n1kPC5+X7qXg1+8hflQJzp9hd1vOscH3/ggO/d5MeQz6NIzRLwDdDcMhAMWjGobvVuvEF7wMznbTWq6nf7RJFZhhcmiyJZwlVJNpnv6EvH+MbQ2NYsqkZZBg1uRiVYd6Mqr2APDKLU4nkIfiqHBsdhRToYOMjLrwRu0U1JbceokJGcHuYmD6F+BF1K6chn90DDNXA5Rr39e+uDnhVdzL9TW1tAFApSzE5gcW2jKJZqNHGrppcxhQaVCdJrJHTlEYngP7dkEev8Lm1bJ62Xx6iTzSoIdRZGTZQuC0uJLi39BS2jx/vqtxFyDFJMFUs4OcpUSal0Ora6NT3/u7dQrEr/+ts/y1jMPEdk6RsjZgT5TIt7ZhTsXQa1S0JRFAlt70Prq+OMtBFMZa+8+BEGgXl5bp38Y/GgNbQiC8KrXA7XdTmVqEsn34kyXIsvkTxzHvGMnov7FDQs6vYZUvIROr6GQq5KIFugb8jyvj/VyEASBbKqMNziIqNZRzFeplBu4X4a/KqpFMHmZGn+a3p5RtH4/gihy9szDjG2+mXJTxdJaGYdXwKG3YEgl0R49wkJPFw57FyVNnZ79O3G269AaPRSUaXo/9e9oCzlOf/xebK4OtMUS9WiEaiRF2eLGNvcsGoOT0pUJSqcvICcTaNsDqLcMs6xvENQ5WdJ72fLsD3GkE4Tf+isQM6HYJ0H2cNO117Hx+99Cf+UKud94J6fbdlGyOchOLlPT2Ln55lHMHT5qNgcthw61SiRd02BIxglVFYa7+ok2Q4z29VKttViLlbDl1rD3tFOTVUjmwEuMtF8Nftr/C0aj9qOvdOyXKrh67NQxNA0/GWWBTks347EYI4H19uFqfh6dpRdBEJhZWiTgaLI2kyWzvEJCMGC0+6EcYmV+CV1sGf+1tyAXRUqVyzy4UkIyq7nte9/DmCvyrTs+jJFV+vVuPpf8DKHqNFsN27hT/DBDQpRkMIDRoyEbidE2PU9KXacpdTAnVFjItvO1M7dw/Ov7GD85QmptAHdqmNrI9xA3fZubdynsHaxR0jro3l1h/GAb07NBtm4+h0MdYvupcQQVPLH5Rvp9UepaL3LJhuzpIn/qBLM1KMlmHOo1ihk14qFnaBn1KHIMIa2iHo1Sj4RZOHkGee0qn+6e5nd2h1CqcEOlyuW+6xktxHAcP0o9qEcY28FKQsXTZ2ZJ5JpMxJfw+Jq0mXvwFitYO4NcjSxRVWWIlRPPPwqNEpIoIYkvtU35r8DPO7haihpqrD0AACAASURBVObobrOulxK0ajLJEjq1Cu1/Eg9s1GWiiTQWlxa77gVtllSqgMrYpFIMYcoWiORtWLNhDMUM+eNHyahdNHUSXoce+Stfx3/iWVL79/LwrndiWr5MqtNBWcxTqQ9gnAxRToNYbdJBjuUhPzvdl1mtGkjKVtoyFRyxGTwLS1zs206mzUOwViZVE5h94hm6hyRSmTQjLQ/ZYpxN27dTF8oshXMk5tYoe/3kTGCW9JiydeYrZ5ESKhKlPAtSO6VuDxtbU6Q6byTr7cC9UKYuLrMgQ9Ps4EroC0zWTrO/dA2Gzh3USipApNUKsJLQ0ybGEXI1TO0iUXUn7nQcnztG1mRFrw4wsyijrEbYc/RJ/rXyXr489X70+ipv2fsY7/z1k9yhO4LVZsO2PE5Yu0JRaUfydKMTvTRzDaTMWVTebjZfM0V+Uc/kXDfjl/rY2Zej6q0xYcyh6b6W7Y9+j0pVZvbGfbTSkBAzeNRWwrKCv5hgztiBXEwwaKixP3gPmUiS46VjjCsnGUw68PTvxCqp0UgStfQqKrUJUf9iUnSrWqWRSpI/egTLtfsoXb6ENhD4uc1T+Mn3gtJq0YjFUCzPbT5z0+gsPbTkMs1GHrX00rJWcfkMBv9mlucWCHjcjMsqcg2ZZLVOotZgpVRHuHyaVddGTi2mma+e4WTxe2xhGwc0Q1SMekzeGgWdjUI8TLzh4P5P30ws7Obmmw7zB7Uv0TG3wpW91zBvGyLf3kFJbcRcKNJyd9HtKGHqtFBR67HFQ+hcfWidPsq5GeRaGpNrO6L6hazRq10PBEGgFg6j/ZFgsVWrUTh9CsvuPaikl1/PrHY9sxMxNJKaYI/jVZUYK+UGklZCVKtYmk3RM/jKvDCb1cBMqoJmdRp7Rw/F6UkyBtDpAyxG8uwdDpKqhMjWjXgC7ei/8m9oFIXsDa9D38wTq5QJBnsJh+eZPrvE7q//B0vbtlO/4Y1ou0aITczguHY3KZsP1doVdNNhKpF5VGU17nvejnlsKxkDZBsFBgU76ZkJ6mO76Jk4j/nyRa5u3Mvm67cjiTbMcgdjg26MH/4DUASe+rXfRKopdHf5iCNxq6vG5HKDFhUuleZRKGPQBMhHYgRreaJ6F+amChw1fEY31bKMye8itBhHV8pRr8s0NXpsDsNPvMb/Gf83uPoZUcyqWErOoHE5ka8uofUFkNVFrJIGpVVFo3Ug1zIkkmvk402cLidd28bQz02RtXlYG5+lZi3hM/kxtPeyunSKx0tJWqId10yJOx/4BjF/D/O3byandPBP2b9mvjnHoGmM64Xfw+6IUZVF7HKLppwmUHJQbiwSTXTxnUs38+T3ruXJg9eQWnWh0TYZ3bLCW295glt35AhYN3KhcYiFxhluqvVhlXvJaBZxaQxMXGqnXDCxaXSOTWcvYSkWOHrb64krIpFUi1pDT8CgZdNNu3BfOUGiUiNV16OtxvFtGCXeCNG+9UZ0gW4kn5/q0iJfayb5j+pXebinioDAdH0ald7G0GQNz7vfjOmBh3EfO8MTo5tR21xoDCq8/jl29+1ALplJ5ao0kgk6erspl3Rs6ejCa/Q8/5BEiWgpTqgQJlpOsJxcY3Z5jW5f20/+Il8D/DyDq1S1TjlbQwasJi1WSU1YaFKPlrBYdS/asS7OJKk4kgw5BxAEgXOTUeIzC8xFz+BPVJBW58nX7ahtLrq2j4Iso7j9pA0uvO02cg8+xMgDXwe5ybMH7sZUiKDS5oiUBaoMoykYiKhkqt1l/JEcK9129LoKsmYzbbZFYkUDyVITb3GNrskpwoEgkV4XhWYW1fl5pOFhWqvnMGy8HatKJFWIol1JUBvegTa/QCmTJm8OMLGaQFcRyLXGqcWLHFpSIaWaVDuNWDRx1uo96AoL1IU68bqaZk3CrjFQ1c7yveg/om/p2dv2NpwNI+1qLc2WBtmSxKdrIJWKyEYzeVGLrlon0h+klLFjSCc49KyRU8/0MvzDU+xVjvMp6Y8ZumaNX7vncbz9izgjecqSEZ25wvnhDlZMBmSTG1s+h5EQubY+SiYH/vIC6lydfZunKJVEpmZ7OHZumM2OJVRuK3HNJXafWcQVCzO37zZaLgOpbJm8toBSMlKQTXS2qlRKGZS1As18k5s9o+TqRY5XLvJU9RhyZhK7/Ro6TBYkV5DslacxtG940dwpXR5Hqdex7j9AdW4Wyeulmcu9qAPvtcZPuhdqy8uILhtNckh6/7otWDWJ3tJLs5F/SYClKArFhXHkvu0I0TDVchlXRwddZgNalYrlYpVEah7VYpbLsh1jq8yF5A9YVSb5DecNuGt+Vuo6vO1m9KVVSs0iE0/u5cLJIXp717j9jd9n9+mzOGMJTl5zB0WTlmRPL1v1FVTDGyk3SgxpcsQ9HnpTFZArWEb2UM5O0moUMHt2vyS4+WnWAzmdRm0xI6g1NItFShcvYNlzDYL4yv6zgiDg9pkx/xReqwaTRHglSyZZprPXiaj+8SyegMvHkeg8/tlllrRlTPZhsgWZLf1uBEHAqbMzn1tC8vfhfOQBrFev8tQ77qIrVqXkMFAoFYhVvWz55pewX51i/r13Y9l5C6V0DXd/gJOPPs2gXEbjdSHu3YtqaRHLrj1Ibj/xSpJUNcMGSzdrT53GsX+IWKKGLJjoPPY4VrWGrzo66BDbUFkkyvd9mf7HH6F01y2cv/Fd3LxtgLnjV5E8KpZUWeq1MCavGTFuw2vykqrJVFdCRCsthLIepalgwMRsaAWj2kBsrUhlbQ3t0CZsShGLUEXj+unNxf9vcPUzot1Z4vSJNNs2dxHNz9Oq+lmpJOk2ltFZ+mk28tQqUa5MVxny2XH19pCr5dF6fLSOP0qypqaFkUYwwIWpK1xuLJMVmrRnBFzZKXY9e4Krm7Zyur+Dr7b+lenWJDvo572W91PQVrFIDtbMWoy5ORZzbUw87uHLx97CYwdvJTznoVrV0rF5gdEbJzhw0yXGxqJY9VlknxN7VkSn7maqdYLj8iTXS510JHS0NiRYnuxiYTJI0BdjX/IQjlic79x5G3pTAK+7gr/TxkJEJnt2CrtFQpQreHq6SS7PIw1spdZYxljSU7M5mFkNc3ThJJ+NfoJFXZq7r8L/946HeGjtCc5UL2HQWqnEOhDcNgJnTzCYz/LsDR6Elo4b+nYh1mP4ve2Y9Bomkw3aa0lSKiM+h+FFC5okSjh0dtx6N9WwgEPjhBZElTV8Rs/Peyr8XIOrmXgetwDhr30H08ZBdHoJvVpFRSeSnM/g9JgQBIFioYYsN6loi/iNXhLpElw4SWC0E5xQrJpIllyc1Yp4XUHyxSrq0CIZvZ8CLfSzlzAdfgjfhYss3bCX2J17qRcaxK1u8i4TDrNMsVSgv6uIL5JFYxcoe10M64roJAdmcoQaanRqPaWUhV0Xn0SlVjE+sJEaObz5PBp3ipDJRsHsoJSvU6jk0czMk+rczOpaEr1DTQ2RTmsOrRJjuZxhuTBEuZjFa5DRiVXUdQ8tbYx4o0aubqDDHCFZsFD3Wjmz+kkW5TDXGK5jt70fc8FOSbCi9ZuollP0ympq3iqyZKKVUjG3HGT6MT9PfmeMBx84wMyVDSRiHv5O9SGcpIm+vYfyXd2IVidWVLgry9StDupeNSGlhrfqwmXU0WGHvGBB1cpj0yro1SWsniKprIGb+s4T0IU5M7eRkxfG6NVEGO3NYkyH6JxdYbVvjPIGO9VyOwWW2aDVUyoKeCbOkSpZWArqKMeXyQkZNnTdhrvUx1L1MicK4zw1/w2Mkostni20lALNWB6Ncz0joTSbVGamkXx+JK+P2uoqhsENlKcmkdrbX1W242fBT7oXqovzKPYqBtswtcICWnM3Smt9vKT3PBdgFZ4PsArTJ9D7B1lpamgvZTnf0BG/NMWlosjqYprVbAlx5jKJth1cXz1PrObmocanEBH4LekuLosb0Jt1uNR5js+riM1u4KFv78Nsr/Cee/4DyRfj5u8epqEzktoc5Oq2PQg5Iw5/J+lik57mHCpfJxqLDnN6GbVopWWoYrAN0ZRLSPqXZoB+mvVAbbNRmZlBpdVSnprAvGvPi4SUXyuoVAIrC2kcbuOrKnFp1CrCpSKGQDcLjRJ2tfd5QWcAUSVSkbPEqiqC1QraZw+T6e9Fr3cgd2ygf2AzodVTjH7mXxGaDZqf+VvKDTuGWoYzUxG2ONSs6b2YfZ1E66v0jd0E+hbx7CT5Qoig1szaY4fQjm2nmtWh6LJEujYw+tB9WJZmET78btayEsPtEgP/8hkMy6ssf/D3iLV1Mz4/j3/YgE+Uief0bGip0bScbB4LcnI5hSWVpF4uoPJ1sHW4DQHo3+AjKcYYDvagkUTc6jKTaZENO/pRGw2vmEX8cXgtg6ufeUYMDg5+ZnBw8MTg4ODxwcHBHf/p2E2Dg4Onnzv+5z/re7zWuDqzSH+HlcOHJrD52ujUF4iuNFkrry8OldIaF+ca9Bo12Pt6iZcTLGUXmYgdZSaZYkXIMNkI8f2VC1xunKEqZBloBannney8sE4+ne3o4dul77BYv0CfMMZve38DlurYFBfhySLTPxjir//pg3zmL97Hfxy+ndhyG8GeCDfdeYq3//nXedNvXmBfR5L+Nhs2bZGG3UNRbrKmrbM9M8rt0nsokuMT5c+j3hzCHSlz+43r3UePHt5PwahGpSj04SKfzaBrVojFYriVVeZdGp5VDJDJkTp+lA13vIlLE8fJuK/lTD5Jcnqaq0e/yJ9E/idZJcWHL1j42qNGEqt+3hX8DEbRzteFH3K28DC+P/kQ8U2D6J85yD2nCwgqmXxTRpaL5GOniM5eRdZoKWTyuO16Ev/JDgLW9V3mp+IEuuy0BW30dwYQC3om0zMvGft/EgrJMoYHvs3rP/NH5D/6CQCskoZyq0Ww38nC9DrBPbKapWzO0GvtAiB08hzWeoHZ5EX67W248nV07QHeuW8LZk8RZ2yemLubi7MJVg8fYza7RsfxozTUah64/teYT+uIa6uEpTJdsSxri27cLqhFrETCGiZdm6DUZDrZxaPLD7NWcDGsj1NuVihsaqcm6XBGQgwsV+hazbI81INocdMrbcS/kkFYuIAgqImZBKQTj9PtdZIVjThUM4h0MUENlRhEnZjHZtOQzRQQYlZKVQPLiR7qlSGsxRRRlUS93UOj9jTPVi7hoY03trYTLlmJqjSorCLOlSl6DTIHcz4OPno93/78fv7uo+/k2/+8n2PPDJPLGdg4PMc7776fL37gH9jcHCfV4aO2rZMua42R2mXaYtMsB65hTtYxFTfSEnXEtCYyFQeLKTt1wYq+2CQiW0nWFNS6Gym5ciTUfga3x/mDu7+B1VTimz+8g6/829uZda1r43We/j6aUImudolgVEO0NokoZ4lZrNi3SfRFwmjautDbt5OcN3DrxrfzEd8/8CbhTgqNEh9+9gO84Qe3sKLTUcnP02qsN3yUJydAFJ8X5FXbbDQyGYwjGyn/FCbJrzXqlThaYxBBUKEoTb7y9DFyKv3zpHatMQC0qJXD6yXEYhK1q4NEusThlEBfu4MDX/snOk4/TdkoIiXmSRrteFVrhAUXmeozZFpZNml3UsqaUevquPVVkmk1obzEg988gCi2uPlth7HbM4jhJuZigayvnXH3VryxLDeO1Nm/ocHtmx0Yi1mWTCIdhQxKs4nU5sdoH0GupdHoXtl65tVCJUk0Ukmqi/NYdr40C/ZaYmizH88r6GO9HG4Y2MxjSyfx6r0MdLzUAmaDvZ9GY425m24HYMszh5m2amirVTELMuKpc+gjYaIHtkPZiDUxy6WKwO79o9Q7RvDm41TqMrm0mkQjRxY1GdHKYMcN1KazxM0badTLBNqzbPGqKalTLNzwOsRikaEfPEPfhjrm6Fmsp89RafPwg7YBmqUCN4+MsN0/ymD3Vl6/fSPn9FbqZw9Tqza4dtCL0iqjmE0E9C8Emoqi4DN4iJZi+NqtFGoiwTYtly9GEI2vrEH2X4WfKbgaHBw8APRPT0/vAd4H/ON/GvKPwFuAvcDrBgcHfyEcS93Du+ntzmNGTTgiEK2tsMWl5tBklkRqgbmYhDGdp3f3GLVqhunwSRamzjI/k+OS1YE6I6IQwFut0aYeRmj1IdUyqINp2mYWAfhC9wrLnKVDtYnbm7/HoVgPT8zt4r6P7+Qf//Y3eegHuwkveekLLrH/XUf4xL9/k7f81Ve5/p4cXrsObd4AVi0yq1TVUKRKWRvGoxjZaZpkX+MmbjW/gbSS5sOT36LYFWKTe5It2xeJr3pZza53++mXojTkAqxk0RcvUutyMdTfj+L0cDlZpdgUOLewzHC3BSGWp2k38+1zf8/v57+A3JS5O/j7fOKRCjlXG0uxAtt0I7x96O8xiGa+rPs+//DdD1H+4r/RMuix//mH2F/JshY7RV1ykYgrrMyn2N6t5WqogM+sIZx6oTuqUW8yOxFDUaB/2ItGWpd+0BskjE0LFmldt+X/RNSaLVQtBdtTjwAw9Nh9zMzH1n+3GVmo1HB5TUyOh3G4jZTkMmbJRDaSQDd5nsamdqRkisLjZykszONTNbHrbJSiazR0OuKJGqr0El2jEoHxS5jjKa6M7CXbrWNodY786FayHV0s6XsJpufQTkE9vEjc3keu0sQrqXmg9Gm+Ef0bHkt/g0LWRKUiUvPXCHdtwBWPoWqUyYo9KMYoykwD8imizRCr27cSMjZZ6NXhXTiHWiuj6P0sVUZZzV2mVW3R2YqSNZgYjF2kt62dPBZaoRw9FQW/3YDVa8eXcyKrovxb6KsA3G2/E5+vCylvQ12rEj8o8p2n38pH//gPue/jb+Px7+1l6ko/fmec6w5c5h3vP8Rnv/YlbvvzQzgHItzxw88BMB4Yo6FyErxwgVRY4Er7tYTdRUw9PVS1FaSiF5tKw4hTT6evly6TDslqwpmLUFL1slKbwev0UBWb5Fo2OnfGeff7D9Pli3HxfB9/eeQvWG4LMnL6Ms7jj1KZeYqWayO1hgu9USHqDuC8NIOl00utpiGtNuK0agmnytREM+8Ub+RzOx/messeTkZPctN3D/C3mfsJnzuMoihUFuYxjrzQuabr6aW6uIBoMqHIMq3qSzcoP4qf5Bf6s6CeiaHSa1Brbcj1LEtrMtT1HDs/j0rvpVZalxrRGjug1SR74RkUTycPX1nDn0nQsbET0ze/ReDIE1zznX9jT3IasRpi1FvFYzUyk7ZyJXsQgC36rVQQUDUtWLQpnow0Gf/u7VSKeu565wVu1xxh1aMwMrke1K329LHSO4LFEiRQlZAMbSwsHsfl68PaTCNnV9GKAQz+9dJro5ZEo/vJelavBpbd17yioOprCY3mlUuNLwdBELh78wG2dr68tZkgCPTafMx4HTSGN2I9dpqyWUN5bpYzRx9n4OIcANXd16KxWIgPbmTrpk5SqzkCXXZa/k6kpSW2dfTx8JWzLGdjjDgHiV+8yuWwmk17++kZGsBo34DJMcKBNj8nX/cGACwPfY9ieobc9x9FXa2Sf/0dmMQ2Nvo6cFheyMyJajVvHBvi8o49LH35K6gja+SLJRqSg67nfBntLiOZVJk2k49waX19tQ31Y89EKAqwspDmvxs/a+bqRuB+gOnp6UnAPjg4aAEYHBzsAdLT09Or09PTLeCR58b/tyJejvOxJ/6Ub0yvELEVmMpPMbGUJV/MYq9XeOhigerEAiGdjnjkKmcj50mkBJquA9Bsw9m1G0jju3KFTfUyxoSMM6QQz7kZWpzAsRbjbJeTM9qnMApuRkKf58H77uA/PvpmHrn/Gq6GexkMLHDL2w/ym3/5D7ztLw/z7j2nyKLCVBkmruQRWla0qhauDj2amoK+WkEW09RqTqqOHFFfJ/3lEG+vv5M7XHeSkEN8LPz3fMH6ZTZfdx8abZ0z4fUb3h1apCuusGKxIFm60VQz2CxaticWsd9+A7PGTtwnH8Pi3oJDF+WfL3yST5e+i1Ux8jbVH3GDfA3qRoO4sx1NLUY5UqJLP8w9PR9EUkl8pvUgD176Ktk/+SDqcgXvx/6OYNzKUibB8kqV7btNrFwZJ2l2UZmdRnnOyDa8mmV1MU3vBjcu78sL8bWb/KhVIsv5l2/3/kXGcrGCs1bFffEkAIZ0guq372M1XkStUmFQiygGDcVCjbJcwaQxUl1ZZuXBh9HuCbIoZxm97tdZVYx0bOxFCS0RP3ES9aEpDmfDyPFZbLYcqxkbgWPrthGx23dhXKqyaNeTKS/hj1dRqw0oXWrizRzT9gC1nipdljWOFE9zIbmuD3Q09RQ6W53twSjSZJ61rnWFar+yStlRx7eQZsGWZs2ZwK6347w0S48tyIZIizO9JtJHHsbQzNMkz2qzzjZDizNLZjrMUeSWh/mCjpIQResHWaxQjeRpluosuJospr5DqrFGv7gTbeBmjsZsXDg4xJc+9Sv88zfewtGDg8h1gc0757j1PQ9x770P8vG//hq/+o5TdG5d40LBTGc0xYd+8DmCK/PMdA6T3TKCoZLhnNJDzWhEpZsjkNWTVfKIdhv2lSTDq3EkoYFBlcblCtJlNSOajRirVVKlJDaxiU7ToqorEPPa6NBd4Vff8yRjQ9PMR7p4e+7bNFUiNz5+GEPLRqFZIGPVkzYv0RZfpuTSUJBNOHUtlhZSJHQid13bjSI5waGmejXPt975KH/r/whBU4B/n72Pmy+/hy8/8lFUFjMax3oZp5i6uD6hnpN/MW7aTOnSK0sz1MtREovfpVYKv+KYnxaKopC/ehzLxnVj+kJmhfPLNa4lSSuu5nJ2FbmeQ3lOK0+UvITiIdZKWnoCViRRxqTX4XrsQQCsE5eIH3sIIb9CsmViMVJFxTQnzVPoBSM7KnoWjT4a6iucTdRYenona8sedu+7zOv6Hifq0FNvmRlZiQIwPzCKXqNnYLQXU3cXc8efoZJzslZbol9U0Ks2oNLonv8s8NplmFS6V8+d+q+GS+/4scfbTD60QorQra9HaMhsPnuOWDbHXK1Ax6OPUrVbsP6/HyZhMKNVqXDpJfqHvcxPxglsWG8Ay60mede2mzDU/Dz1wDlCoSJjN4xgML64FOezt6Pb3E1icBTTlWkGD0fpO7Y+j5/c8Rb6rHqC3pd2QGpFFTf2d3Jh615S45dZ01jYPeh/PktocxjIpdc37Ea1gWKjhLvdTiFTprfTTlX471ev/lntb3zAuR95nnjutfxzP39U2CfOq3BQtNsNqNU/XZT+0+DwxOPct/Av7PPewZ9t/ASTl9coBE8zm0rTlL14a8eY69tCOiNSybTIV7Uk8wpDxSJNtYpycQKjcRDjhjRkEpQdYJrP0+rIUl22oa+U+INbJVrIlL/zOR67sg+AYFuEvuEVdt1yDr2YwxBJExswEFMlaCR6yGslBkxp7NUCNW8Zo2jC3lqlZiqxUhRxOTooJctsEZ2ExSq2tjUM4SrvbryOHSoTX9WcYqp2lSnTn+B4/w84ff8elCWw1HJUDW4achOjoYNC/RL6qeOYDlyLFK4yco2DyLmNxB68j4+JX+FK/jJt6gBvbP4O3WYrljPrpbmiy07NWyNbuoq6ZmXYPsYHNvwZn5v4BP8j/q94hj/Obdv3YD15AhbOMDETxN+vwtl/gKX542zuMzF7aQrd5g4iKzk6u50/toujWW+hVons6B1hIj5LRZMnaHt5Q9j/Xbjdr708xFK1jvrEYURZJvbm2/H84FE2P/FNnrr7ehKKBodNw8GlMkMb1ZydWmCjSiFmN5HwJjAERxBXW1wdP8fQcAfu3TtIPHKCtTNnEIJBekKztFIFCqoetOmTdE5PkujsoXjgALbJFS52DaMUEmjUI2T1RUwNM+n2KlsWrxCx7aRaE3kw8i8giAgr+yl2PcMPjid5m19LI2Am6lu/zrqra1hH+pgWRmmoVug6FaMSrKPa4sR6/AKxvutpXzxCRWwQnz1HuUuPpWHhTFaPgzi6fIO0YEfdqtLXryXSNEAkh76RICmCUSnyePJhJCS2lf6Ii5/fxpGjHcgNNQZtlZvuGse/Z5ZtxghSUaFh0IA5S1XxMK80oTaBJ9zFG775ZQKL00yO7WD8LbdxQdxB3SKxPXWc2UAHknEzcbMFXfUchryIqNNRj65hb2vHNOQgmlogUasTLalRa5t0lGWuGlPoJTPdugoX50U6VTL2VoK33HOWrmdS/ODINfyN+o/5s8xfM/rDR1l6zx/izfThL02RCGrQ67wUMmashjxalUjZouF8KMtte/t56MkQPdUI0XKN3/3V/8nex7Zz0HaGTx7/O/5k+dPc336cL8qdBAtNmFlEu9ONdfsm6qko5sEB9ANdqBsF9G0vbvooZBYoa4pMiVr68uP0O4wYLD9dh+HL3Qu55DROVxBPm4NWq8WzzyaxaARSVTfqSpnYSRWVIR1bhFmaUg/x42cY3r+LqtZGTakT1umojU/RNnmRisuOPplh49NHqX3+U0gTCdSlKN/QQalU4GbjTvJxB61Aha6Gmc98/WYun+7DH4zzruseRqwUqHhdGOtauqbGybnczAUH2GLRs2NngFNrF8AQoGf2KLGdHfib7ahsaqybNyFqtRSzS9iDg2i0r3zP/zzWg19U3GDZxrFbi3R/GgafOcKDf7WP7RPTiPkc2fe+E5XNgLpYY8T9QknSYTcwcSnC2F17mX/0WRIhI9Zag65ONVdkH8lak06H8SXG1Af0m5i783bcf38Z/1OPYZq4QmX7GAl/J7+6u+cVz9ENKPoNfO+IzK7uAJ1dLyaop6JF3G4zTtdmzqyN0+0eoxiwoTPrQRR/5u/ztZoHr5W34I/bEryq7UIm88qieq8FrnHcQIeqmyOxh3nStoc2zzUE6m4SrSXa0w4usRNbXULRR7kUyyE28vSoOohFpih2OfGfK5Jrt9JotWg1u9BMjrPsGaMrvIK9PsNDA3DMro4z3wAAIABJREFUl4HF67GFbmf3Xec50P9DZGkD6kadMnpaySpep4VGyExO70JyNGivl4g1rdQEF2qNRMagUJ2LsFiRsdrdeCpZeoUcarODLq0TfeIKuCusaQ0EVGP8z+oIs4Elvr92kBnbKR769VNcswoHijMYyvsoRpxctE+wK17mklXkWp0Bt77JajTFEXGZb5b+hgxJ9mjHeAN3csXQxbxOYlN0PVWft3jRNpaoCGbsl9yod3Rg1Evc7f9Dvhv5O9498Rd89s2/zfsnxtF95FPYPv852pxuph8/SMPipRJeYz7coM10kd79+2g0myQShRd9N3JLYTZXIn7xIvuv28vsVJTuATduwcdkdIZCrobnVdhT/DRwu80vOY//XSiKQng+xdbjTwGQf99vYSuD67FH6J+Kkh3ZgkHS09XMY1BM+LLnuSK2o4ufRd+5lcMrkGgo2FbSpH01Gt+IoytXqGPArklQzEqcs29CZ4pzx5EnUCkKp6/ZT3h5lYo6RiZTxJTRUVDFMasbOE1q5JqWKf8edE8V+KLqe5T7E/DMvehW7uD/Z++9wyW56jP/T1VXd3XOuW/fHGfu3MlZaYSyhBICiSiDjWHBxmv8c1rb+zMOa4PjLl6DCDIYEMgWAqGc02g0OdycU9/bOedc+8dgsVqMEVpszJr3eeqf6nq6+znnfE+955veSvdenskcY+LB+7n6xtMYOyu0BQFHYoma8m72ra8x6dMSG/EiZtWY8t2Euir4I2eY6evAOp0lkI6QqluoeJ3U40litiwdpSKC5CXQq8X79FnyXT4iHVpc+hVK2V18e+bTlJUKzgu/y/3fvgNFEbBai7z10uMMHV5B2uKkWx4iVNlAXtWjjTUplPIUmjIq+wa7SkEu/8oncYWWOL3jCk7fdBeFjmFMuhy60AJr/R3ojIM0KyU0yjgWvZuopsbYtjod6htZfeIRWpEUvd0Zdnq2s7tR5+GKQqVtR3uuhEaoU5YltslpJm1+gusZWqM9XGJcwGXK8YeP/R63Cw9y8NirhPb0kpfHOB24mU7zS5ybs6IyXcBSs7LVbkbdhNnEEuWMj3rLjtYQ4rknx/Hcvg+hZytvixi5YudW/nD+T3l68zh7PreHu/zX8K4Df07P2VO49t5KYWWTqt0HVg/5E69iVn9v86/k5imhYjW/SU7ZTb69xMLGCnZd9g0JEf8gW2jWczQqFVpVkYWVJMePnaKtceBefpW4Q4Vn1whnz6fZE85wKm1GJbbQU2V6Q6RiUuHInkaptzE/eDE8/tJthxg5OkvnzBKbTx0joTGQEUxMlh4ALTjbV9AWZbZmqnziq29jZdGNzx/nN+/4PIoZUkkrZb3C0Pgm6mqV+NAoWF2IlRW+/MoFhpVudOYyqR1mZMMY+Y04CAKtfB2oU84m0FsdwD9v8/8a+8G/d6gCDrKj27EcPUWrkmTghYu5u/Xb7mZ6LcWY4/vHxOrUc+rYKsH+HlSbIZRCnk1zH/u2e6g32jx9bAWdVmJLl+01L5MIVN92J81P/xWm5y++V57deQM3jvl+6Jg7EbhypJt+u/H7nq3Vm4TW0xf7h+WrRGNZJLuNlfMLDOwfelPz+aOug3+JiL3ZsGCYix6qf4IfiPyAzwLfvfcThVql5tfG/gQBgS8t/w12ZZ7N9CD+uI1UTw6r00pmDRD0OOt6XPFOxOkF1jUQncqSLZaQq0lWkl7WaivoKxZc9TTt3jqe8RD/+TqgrcJz7o/43Tvu4UM7H0F0j6I1KxjdYI7UyVqMzBuHqCgyvfUYGSGHkC4hajXIKgm/1Ub33CwLsojG2021kSafFBG79pNfKdI8MU2r1odSd+EQy3gMVjoLJUaVvfy+5e18XPcxhtJjHA/CJ0ee529Vv0Oo/C0c8RZljZ2arkYovMJSco0nFk/yhbXfJEOSW8tX8vPpm8gZ/bR0GQSlily7WDGx4G2R0Q+gcgSR3XrKyxGs6RxjxiBvt3+CttLm483P8Q93HUGdy7L3gW8hdmyl0EiiEkosb1SRu11oyk02Q6doNb+XN9JsK8xki8zlSgTrJTwaFclo/HXzNuIYJFqKk6n+ZDvurhb+5XwXgGiljrpUwXPyRcp+H/GAl9m73geA5ev3Itm1PDUZoSBWePz0QyT6exntVKFE/JikEYKqJv2xDQqmFMeKOTZMSTaUdWquFKvzGRJKi0Btip5wmh0nJqjoDUwf3E91NkppVaGnksaltiDZlrGVVggtGFh6aYSvfvIIn7qgpjjwIJrkDn65ewt/e8vf46ptgb6niJWTfPVzb+EP/ufPsWzuo38lhDGeZtXTidwMMFcsoLXaEJYnSUteHvPsRF5R0GmzpCwiYsXEaGgaTbaJUtFRKbjI+rIEvvUA133m9/mFP/hV3nr0McDLs5MRTreeg+Qgye/8Hr5AhtvfepS//KVPcc1bTqH2DkJDRzw7SXbWwWrOQHQ4QMvmoqKNMrAkceTP/xRXaIljB67nK+/+KBpNi3ItS6JYx6Cq4Qi6aRq0NKwtzJUyrXyBQ/Y+mratXFgJUz4wTL4SZiq/kzVRTeDQfnp8bdp2B26dGl+7wLzeiCIbqFfULASNOBZeotLdYPSSce684yl+kXsQUbjii8+QCTYYMy4jKFq02hiDsQbNaomJ1DkyG8+gWo8Rb4bp6HCxqtHiSq0xFcvRH3ATMTkwnVrhnus/w2c9H6Tb4OO+8BO865FLeaqZobwxh6jR0K7VANANDlOem0VRFErpCeqSifVaCb3Kw0GvC7VxN+lyhJoiUsn98MKQdLLE3FSU1YUkK69dCRanFlg9leLlMLz6yiqSqsxIZplNh4r9V96ObTKP1R5kPNkgV53BKhzD3lsk6GiSycR4ed7A6ZMVul5+ibYokOzu5x/vfA8AgYcfZXZHL48ZzExpxzErZq7OmqEg8PE/fxcri2527xnnrz/2l+hNRdRGgaRWBznYunFRM25h2x58FhmNmGOX4y0sl/Vk1Wn6+t+BFMmidrtf65KutFuvycf8DN/DNucwi1dditBqcd1L00jfeYRSMMCF3i1ss//zKRt6gwaH20AsD5JWpuAbwhe0IggCskbFnmE3nW4jp2bjLIW/15Xe6Q8SP3IlAE2NhuRbb8Emv7FqvgGH6Z8tGvAEzEQ3L/7GkK2f2cwicrATaytH5H/riP+TwptdcU8BdwAMDQ3tAsJzc3MFgLm5uVXAPDQ01D00NCQBN333+Z84xtoNjog3kmpE+XL0GTojK0QN+8iUW9hcEWqVOK7NEMFqhlH1OcKWDrZ7dLzVX8U5COs18KWmMeQNzAaG6I6eJnLWyv3GaZbs4Fx6L3962asYelzkXS4sZiu9xnXqqWUKHVp6nGo20y1WqhbkpIodNQNNTxU5lSCgjSCdeI7ldo6tcpDueAWDbQShHSV16ik0mgwGo4P2jivpPHADnWYnUZ9IzmtCfWKKosdHt0/PB80fYOJv4cCFPuLtEN9Rf46/3vht7i8/TCBbY27iOb619Em+nPj/aSsKH2rdyn791azLNvSpJmbBxS7fCH2p71YC6Q0U83Hyio41h46s2Yyg9RM39OKxDPEu1UdotGv8XNdzPLGvG+1DD7Ly1S8SdR5BkxVxeWsgFEgmVknXuqkV16iUY6+Rqj6Tnq02I8rmBnl9kLVwFEmtolFvfm/eXFtZzq1RqBd/IuumrShcSBWot/55se9/QqbWQP/qMTTlIpuXHSS0mUa73U1zaIS+F59AmlvGpcwQWRtnuH8LwxqR1ivTBHbvZWYtQvnkKeRwmP6EhuH1JsGpBdz1Ns28BcXhZslvoGYOYJo8j1yucHz/VeTXmyx1ewhvcyIbRjDVa7hfafOd547w2Xtu4FvfPkS2lkV16y+iUmT+gMPs0I0T772NW9tdICgc/OWPsOXIAtWSjudyR9DU65x4qZtk24VKrUfT1BPfiFH1jJDDi020kHJ1kKgYqVYH6ZE2OV81E5bUGGMSuoqVIbWNSx5/hIZGjdRqceiz99Nz1/0cS30JxBaBud/lXe86yjvvfo7Le86T1anJ1gxUNW286RU2swlUVQMeowElNUuYNrqal1v//os4knEmdh9icfs2WnoDU8EBykqajkSMcvclrBFET5gedRxr3wANlZbwYoLQ2RUa1ih9ehO33ngTXZmX2JgM8cAD30S7Mo41vIqSS1LRZtlemUMs1jjEOtq0nmK8gn2ygRor12w5TcddVT4jfAhvKcrgF84RaQhkNvoou8rM6rRIbT1+u8iqSs9UPUkiE0IvN2hLRoq1MssTK5SaLcz5DFWfn8rRea4+dBffHPltPrLt1yg18vzFwl8yF7qAdmiY8ne1UNU2G818jmL8DG19B/OFKNudo5RbAk6thkpLod++ldncGqLspJSZ+oGJ7oqikEmWGdrqpXvASc93L5stRUHro90oc8WVo6iUMoPaCsuaHFr/diJphWT3MLuqq9h1fkYUP9r1DLWWmoc3K4RyCVTps7SUPIGNFdaGO1m0DrM26iPS10NwYZbqC/MkK2tUqbDXsJ1XTm7l1+/5MJmSiZtufI7fuvQLlNuQGO6mENHQ1Ktp6Uz0zF4UE14NBHC2C+zd9hYWT50h6I3T0u9mtVjH2ajSSCTQ9l7MRqkWV5HfoBfvPxJEQUS6/VYAzH/1aYRKlY0bbmfsB5CZf4LFpkfWqkmoHDRbwvdJ+Jj0GvaNeLDoNZycibGZKOLVy0Tf+QEAVg9fxb6xfz7h/keBSiXSbl1c21pJS61VQxBFdDqJ9g/Zq/8t8KbI1dzc3DHgzNDQ0DEuVgZ+dGho6OeGhoZu++4j/wn4OvAycP/c3Ny/i9r6iNLJ+3sO4hIdvJT6Jud78xiMG/SVjJQb83i8FTLWGrWQwkRuP5LFh08voNMU6ZJiHFRtUNJrULn17JROc65xiM8/sId7LklhK6v5I5uXlN6K159gOu2hlZ0m1pIojzipiC0S62Z8ahGrvcSybEZZz9DbNtJWx5lv97JhbTEsduBeWMVeTjFw9nlUahPG/m20giMkt9rxb1WR0esZVxS2psP4+gIY+7rRbAgYTDI1fYPROPz2t0YwfeUUl5T3khFzPJl4gF/c+EO+kr2Xb8cewSzZeK/8Czg691FwlYiJBuJtF8Pkqa+dRh3PUFermbAPMKoyIDaXcWpD2LQlCsUSnWITrSHH4d6DfET7XmpKlXdcH+WcX8WBP/kLOpoXaFoFfJ7deAJq6pKBpeVnmSm0mU6l8RNhq82IRiWiKArrsRqzkzHy2Tpuv4no5uv1u3a5x5hOzVFpVv/t1025hi5TZ7X4Q6q12gr+Uy8AMLdjL5ID5uIikduuQWg2Uf3tH3GwY4QbLj8C8TWKkxvEDTKrE8cIrD5B2qKlGuxAdDtpdbqpGQZZFe0kpBanlBpCVSJU0XHo+ARtQWCubxd1XwNTXY8xryE05eH+xw/yX77+cY6+vB+VonDVlS/i/ZUbaWmyvLVxhESXi1jvKLa1cayOq9AqWsal43zghm/xRx/5DNW9F2U9bC9v8FefuI6vP7qPWmyIiL3GajREsLLJaCFBLaOwEuygN3SWGXWQrmIUe38UTcnEfM1J+svzmDNpnvDcwhjjPM51ZPuep9bzKntjPj74lmWc/jW8uSwpK+gKdmoJKwOR81SzRvSbATSCioZXSzrYoC+i5Vf+/A+xpdM8d9XNPPHWG1kfGWMgt4x+fRWjaEbr7KRSzuNtQiinZrVmZn09h7EKvWMKu7eLdFVU6EUXdSnD9mvu5IpOK8FWm82MFaF7kNb2PtT9t5Gz9pE1BWm1RRzdFhLBABVtiezgboSKmtusj3H+7t1sEuDG8YfIPqSh2TIS0JuougscaEbpVJwcKonsM9qJriisFs9RNKopWOo0ltc4vRpDnjxHsrMPbd8g1fgadvclvM19I7+45W42imvcm3mCyPwMSuPiYaPVrCB0StRXq0xnltnj2cHUZhg5LTI/GYVKA0XrZ0Rn5nxmBdnYQyk9/lrS+evWdSjHjHKGjUycSKrExHKKB56d5KnzFQRRotlq8/wDryApIWKabtaaCtu7h+i2RNk1UMe3dQCp1CQeM7BhGKAyt4Y2p8a5HCFuG2P35GkAVsdGaJvbmOLrPHLVjQDcdvxxVuRjAMSe/QhffPZWtOoav/rh+7hmz3c4M9LNpM+DV5JJ1/Q05Dq+AriXlkn5/dgOXstAYJDnXz6GrR7CG82wzWKHTBqd83vCxhftsoGo+teVEPppRWB4H/EdY4iVi55R/bvfi/oN9OxyeU3oDTKdfT84ed5p1bFvxIOiwMmZGNldB1n/8jc4/iu/i0v/45kPUSXQ+i6R6jR1vFYE5e/8/jYU/9Z40zlXc3Nzv/V/3Lrwv332EnDwzX73vxac7VVmQjbeU7qdv9J9nm8mv8B7XJ9Hl/BQCJ+n6mriXm6i0epIVmG3apHyi3lqco54JUi7LVFxt2hrJL794iEefPB6fLdfTlkDvxEdxrbfidtSIFa00tGRpFGUyeehXIEKAjpTDoe7iKneSblfRWVDjWEzjNvYRYlT7MzKWPPL5LRO9I0EcasXm3ME2xY1/kQRdfduXjg5RYo4XbKds9FeOgzjuHsUOJslY7AjW+M0JYku7Tr55V3Ipz/NBy49wbjmUc42XuBCdppOwwC3OT/IwHqSStTLjFmm2bGBrlYhV2vT1NQwJcOknTZGhuy0FxXcpTyx9hoDpn7CQhtpIUO5y8RiWWbIcD03iVUeLt/Ple/XcOyeHN2/dy+Pfuyj7OnawNyEC95hdNE5WuVlvGY7rWKRePIMeusQqZU8sVaDPVsaLG2YWF9dQxJe35FaEAT2endyInqWPe7tqFXqi+XruTn01uEfMOM/HqQrdQrNOMeX12h3uZG/K9ujFtVoVGo0ooamIpLayLLvzItUTGbEXV1YtD6SjTO8uL+HOw06dr16jOl2ktzqcVw5C+sn5kh3DdIQWsy5gpg33dTyLYzOEEvFNtmmFVO9QVFnxl2uY9ZB58YS/s0VFkZGSY5aEdV20mf1HH3lSmZnLyYxOzw5RvbNs+XmNWYjTxNujzPaHGCL7iZQrOQMUbKDZYJVK/sL23hROMUx1RKH94/gH0jBKXhnz4PcV3svU68EmXolSEfvKNuPzLMwUaJdMBLXaZETHbwc20fpYROxkp3y3+hptSVA4Qy/QwuRj4U+RdLi5Q9v/T3m+o+ibhX52v0RRMv9PHL1OygMWamKLsrJJlob1HU64jkdohrkLTYizXkuP13iur/5JPpSkefveA8vX7KTQk2F1hHFM7APS14iubpGxefHgEhqfZx3XXWAM7El1nMb2Pw+ZF2TQe8eTtvrKJFZ1k+06dpeQGwkkQIlulIdlJNJliQHZb2alt+DfTWG3DCjtIv0+Q1MLEkcWH2FcqAbuWJjXznE8Vtu5G0PfY53P/Elfk39Kd5nSSEY1pktS2ybDFMfNuGPVQkHDBQSTXy2ChmHiGphk/yjSSIuC6NjoyynQ3QsW8has9TXG1xruosnTM/xj2sPcki/gxv911GJLqHINTSObcwsPIY7OspSLkG6lOGynVsRRZHF2Thz5BmxOhiWYTKzxJhzC6X0OHrbVkTxovySoijMxUOoT6zxbPhxDPZ9qNUiV462sXt2Ut0IsZLOoB/YwZ6hKqdmJrGYhljZnEOQfRj0OlQCuOqLnE/r2DXoYHmyiKFynJg8iKSxs+f0i7REkaNvuZF0RU2j3E9li5tQ39P0T55j7WYZVbmDySfvJNCR4gO3Pky7c5l000uXUCTgGyM0vUnBDHpBwpxeRd2ok+vrR60ITJVCbNm3B4c2RX0qSm1pkY58Hnw+tF0XPVXtVhXxJySx9dMC5W1vh/PjFMdG0Q6/8b30B1V7/5/ocBvpcBtZ2MjyNdcI1w563uxf/T54AxZim3n8nVacOjvrhQ18Xi+NWPT79B//rfEfqkP72VgWYW0JWdVFgRhTrUk89QwWuw9NepOapow9YSGGwKA2hlwUqBlLpOoB7BYDWXODvNPH2a/4efjJq5CGniJ75X9j/wbcYPgoK75dRGtWsnUZKQG2WpL54S4qBR2Xa9qs+PIYsgJqpUZnTotDilPKtLHm1tmSrKJXGuSdnST8RqJikMHLDhFb2UAIJ9jQWElLbQIBhX1GCa22F8GRZDxmotNeRzLoqEmQr6vZ+sopzO0S/136FUJrHnZvT7Kj3cth+9XYfS6uct5OfyiHpLVzvimhiG38Ljd5wY8/VkVUxbjy0RdIDg1y+vB+4pko1bZCXoCGbhGV1IOmqYJ4gqrUQq+RGWiM0dRomG6d5YFRFb/w/Co6s53T7iC5lop+7Qa6SJaYrMekr5KUPXT7LyMXXyCxkCOm0THRiOHWQTau4LDbsdp1r3NPC4KA3+DhZOwcfoOXan4eSbbRqCaR5B/tpPKjdOI9sxzD565Tz7sZ6/BhUGsREGkpTcqNCtl6nvHUBspzr7DrsW8yf3gHs1eNsrCZwC4O48lkUDW1OM+dYbMB820XwmqJJecAa5KZij3C1oyLvGzE7I4wX7ZjVtvx5eOIbgUPDdSqMtmqmkPPPUQgvMbJ6+7kvuK1PPn5w7z80k6SSTNdQwkuv3mcGz5wlmAgQiKd4MnWp5BFPR/b9l9wCEO4ijmGUhXM0iCBmQlEuZeXpVeotPMc0N4AxiGGn3wEZyuB7b8FUQ02qGVlQvNuFs51MTc1wPxiF5szAdbWA8RSHnJlE1q5gteSode5wjs7HuTnEl/kaPAK8nf2ccNHjzPtuJfl+gTXCG/h9oyL7skL7LlwjKJZRXa7E3WziiJoEfRGPO0q1VqLrO4CN09EuPzTf4OuXOLpd72dE/sOUdClkbw95MtqOnQNgrZuJL+bPQMuNPY2Tm2Bxc1pMnWRTq2Lg2PbEbU9bGY3cZJhWaOlyzuIkqwib3Ezr/Fzxf4D5CeXqRvaRLJ1hrQ+1u0Z9BEJFyripiZyo0lC5abQa8QTy9Ps1DLpNtOzlGB75jTn5nfzbHOU7dvWmGpqMdYs2HwWwq5BOuo1Nlpq9O0KVaWNKVyi1dYzN+Yhk0sjq0AyDxJ54Shi5wjReIEhUwfPZp5hqbbCDt0+rKUEBc0wx2cm6HLvwJoNUewN0msqoK4INBIJ3P0BZuYS+F0exEYYrd7DUipMuepncXmGeE4hlqmxtJYhHp/Al6ogGX2kW2FMGii0vKxNLpI7O05xdB+93VrGVyYoR8FmVuPvGOX0XIpwokhbAUM5TVspIiwtEhsZRlELCNkqQ+Uke+7/e9Z27OHxI29Bs6hGp/bSCFYomQxspo5x37YWyqkPsd/q5oZbTqL0raGTNAStVXrzEjOmQVrzK2QtRtSNCodPHaN7YZH5a24l16+hxzVG0Gei1SggmwIIAhi2jVFdWnqtEWulsITW1PtDc67+tbVG/z1D7BukfvxFTP/1E5Q7f3D13v8tHGYtgy7Tj81rBSCpVSRjBWyOi01DK80KKqMJVkJofD86ufqZ/M2bhLIcR+uRWRCCjFaCnBKOMtWYYcA2iqLbQle9xLrJhCYnYjLqELoFyErYHSqyhSaLWi1P33OA46fHsPpyaO6+kRo5HvgHgcTuKzH1akklSgT1YAmvsrh3L+nNFHvMXVSCetSRRXKiAbfXiU5nQikLKDoTKivkGwZybi+bBg92QU1weACPTsvYqEImoTDgbZArRtDrzfR3juJyOVByRnQ6I8ezMdyGOppUCY1LQ/Dpk1gKOZ695WqWL/QiFNrYx3K4VGoOCd0MxBSMspMZyUlTsuAUmiRUZgyaNDFlnY7lBPtPnmF5ZBfPxa5h9twBuqppZDUktU1K+lXSjST6NtTEJi3JQ0drld26UTKilkllnIeG4T89OEOoey/qmgWzz05krUkFLRW1gUY1xmIuTynlpFrKsm4qc0dvNyu5DapVLQGvm0a9jcH4ekMUBRGv3s2r688StPYh69w0qnFESf/aqfyN4I0aUaXZ4tT6FFcPbsdrMXBqJcMWnwO9WodRY8Qim7FrbdRaBrq+ej+e2XOEfv460o4j+JI2DMUM68YB0q0oW14+ijqZZmHkSko2F2t6JzppBk3DT65mxmPdoGLpZFu1gaVcYCMYIF9Qkyi1kXUigqnB2//ucyS0Xi5ffIi5o72USxqGt4W59a5X2H3VCr59TWJhFbp4isfFPyMtZLij66Nc7dxLzdpBRGXEVK/jXD5BomsA13YH0+l5lhrz7FD2sJ7qYdfmq7hXQ5y56jJ8/iaOK5bpGExjsqXp3bLBloNn6b90lh1vPcfbrnuBnW85yv53rHDl0DEOD0zxjqkvYU8nOP/+W7Fc0mS5EOaxxJcwKkau6/wfLDldhF3ddG8ssu3sBUZPjRM7cBn6XgeRiI50UyHXleeG80X2/8+/QFOp8vy7f5En33IYSzGB1XstQWcKf2AHk+EYu4NNDg+MMJ3OIJXOUCo7ybSa6JQI+zouw+u0Y9ZIuE1O8oKJSHIBt6VNKm8kXK5hM6txa23ksynyRi9WOUshXkdptCnrzXQWFwjrBgmY11jIOXALRtTqWWLzZkwWhejAAFuPH+fK1rP80dLvsJkNYN0aQm2poF8TEfQS5CqUbVqqKgf9hQWm1BDItTA5B2iVc2xEy8wJUTJ2O6XIOHW3ilq7C7OU5Vj6JLpWDfdGL9lmiN1GG8ZmkVapSH56AnOzimSwUSxWiG4kSKl1TM/EaSltyqU6uRqYzLC9bxirtInfZSU6u0h9dgJp5ArGej3ocyvYvGb8qTTe3iCxjTSnihrK5QnKKzEyKj2KykwmG0ORwqhEO+lwCp2QxSyus9QcoGX1U2hbsLLKjie+gnchxHfuvJNYyY1FstDvb1ALmXjswiHO+L7BsrvK3cXr2bsrDN2z2NVa9D41nY4BFjXDOE48zPngdjTVdQRDBzc9/ijGdJLH3vNL+Fxz4+IGAAAgAElEQVQ9DAw5qRZX0VmGkEwmKksLqO0OmunUa16LRjWJRvfD5bT+I5MrdDra734/ht3b/9XHQKP68RcWZFPl18iVVbYwk1nAUWj/jFz9E/4tyNXz62dYSFfp9ncQTwp0alWcaZwlWwlzKHcAsW5CKSbI27zYjVWM+TxFlZVo1cFSw8Y3P3sNq/NeeoaibP/Qh5lqvcoHzou8Ld7Lc/tvJhbL0tTJDCxPEfUOsN6Abh3YDV5iqnVaFhtSLowp0sJnKlF37sA31IfO4ccqziMFd3Nk7yBLyzH2HxyhlC9jaMZYaoqY+lxsc9pQRzJMxor4XHZcHjMWWcv8ahmr3YRSW8OQKmCbmMcRTTJ580FmlgdYXg4wsCWGzt1AqNXJI7ImO4hLYLQ3EAUVuZqAq7WJqhxgdPIcw7MzfDr98/z1ifeyuGzn5clttMsqduiW6Jb9NAwthIwHbVMibF+jYjNQEmFAHEHRaTjfmuQfRhr8/OOTzF56DY54kpRrAGMoRkVvwq0X2VjJkEwv8KqYwivWyEanqOc6sPmjhNbbWPQW7M7vlzFoN3LYJJnpUhK/wYskO6jkZtDo3ri7+Y0a0XK+QqYQZZu/B70scWE9w5DXjAIUGi1ilRobxSqT4Sz7P/3HyLUSxz7+UcIrBgzJEMlwjnpsk8ZQEFM0TOf0FKFt2zlrH0SvzLHbZ6eVNZBuKRhMSZJVAzmxTMShJiNIFPQ2zPYsobqL3j87z8HcUX6/+V95VTjAtYdP8v47n+eGI+M0O9XoNXmaiRLdoRWOel7kbOMkey0HuNRyLW6VDtaWsRaKJEQH2p12FEOS8qIepWXkAicoVVvsLA3TXQvjXZjnmLePVMCE3LIR9G7Qu6XN4MAEJmOTfrdMn7HEer6BsR3FlKjhKkSxVpMcfuJpVnp7efC919Foqfh2/NskWyFubt7J/kiSSNNL7JprSFzXj7iZp3tmlq3PPU0RkdUtnbSkMjecXWH/5/4cVb3OI+//ecYvHWQkq0N12WH8eiNuh4YRi4aSVs3pxTJOTZRQaolUboimLY5KU2ZrJED/zj5E1feyHywaDRaDj/OpKFZDAYPTjDZrZfrkDCqbF4NGRzFSh6BIsGlmIbuGqaFFkmQkpUFLFUWVKTCn6cOjWkOVs1L0ldCZLPRMXGBUM82fLP867ZgBdyCKxmbBXVijLFiRqxJr2Thms5vB0BoR1ESp0jBVaUoaMmkDKNDhrrAjpaYaDqPFx1T9DCdLE4zp+tjm3YF37z40Xh9rNheO3Cr2g9ewkIWvPTtPX3KeEYdM26nF2DTR4S4w1LWVWDWKSlBh0Hdw+uGnWWqE6TL2Mq4xIG7O0GxJZKZOoBrdwonzSfLZGFvGtCjNedyKm6hko2YWGM+uE1cyZMRJPKurZEQn/m2DbGJFyuRoleoMG2fZ9rUnUVfr3HfpLRirVvQmkVRRzcP3j/DqsQBrN/8xfdkWnzxforLTTlJrpG2q0G/qYKLdTVtTJdu1l+LGBBgcdGUrHPnWVygEOli49kMcuHSYanYctc6FpLmYQqB2uUh++0Esl1yCIKlp1vOA8jpR6f/b/eD/Zfy0joGiQLXSRKdXIwgCqUoau9WHWv+jS+D8jFy9CWQy8LnPOAnPudlM5Sirathxk5JnWawv0CUZcSVtbPr7MJkXsKklIvUO1IqH8Lqev/vCpWRjZvZcNs7Nb/8699e+gKat5pGvNtjo3UV4+05cmxEs6QJZq59aW0e5M0Ug00fbXaXSTuPI5+mweKioSgTNQXZespNCskxXjxvf1n3US1CYvkAtOIC62sLtyrK5Fga/B5eiwWjUY+3cgtdm4czELGJ4k1o+g1mv5sX5HNaWBzm3hj6Swb22yfTOS5CGRGZO9VCI6NjacQ69rg2RFPN2E2hkdEYTOalGrSziNgxx9Ekd1qfzXNJ4mb+o/Sr6/Qau33GGzZSD2YUeTs/swKdZpk+ukwoo6P02ygUJj1lPbyiH3pvBpXIgy2YmarN8sy/PFafmmBrtRxIXqaYyhO0iiUIFizVNppVCjJrpjyZZMrpomnWQhpalQTFVxO+q0ailXrvqlRjV3CJ6YxCzbGMuu4zP6EFUaamXo284PPhGjehEaJFuk5OF+TwlnUhZhOm1NOgkUMAmq2kqCrmXz3P4H+8htm+E81s+gD++SBM17a5OdAEdy0UveUnFrpMvUG+2mN3eidscRBvOsiC46XfPcy4bpGN9nXa+SqHWoqu9QWa9wNP/eBXP3Lub/57/JXRU+MyNv85lHwzjHopQa8qEVGoqohEhXMW4nud0n8Kjhb/FIln4z7bfpC8HidQGln4Dgs6E0z5PTkjR0nZgLuXQlX0cE18gIYQ5UB5CMY8wdvJJMh49L5mvpUebIK3zo67EWC8Z8PZsQ5GSGLMNioKaRkOLoxHBaPGz66lXcEY2GL/1JtKG7ZxphHilcB9Bhnmf8z1sVmSKGjcH41Os6arYtvSysPsqvONn6D99mq0nX6FPNDL2tXug3eKBuz9C4bK9BKJtLnv/u8nE2mxISS7p2MaFyHGu6buC2eICR+dFOsweWtYMLUFkSK/Cah5FvTyFHOx8/dyrJWZyaS7t2UlezNCU7XjKcQb2juJ1Gcio1cRm4hh1EmgEckkzJlWYYkrHgLeMkG9AwUy+qKPlalFvm6mPBHBNLLEzeZKoo4vHl6+jGDazZeeTGEyD2CvLaKQSZaORSKuC0SOSrJUwVlvojaNUdV70sh7BZEanOAlZS+wNqMnJA3itel5NvkpCl+OS2k6s/QMIQKLawGWH009NcnylwNv2ZNjUeQnotOQdbroaadbn4wjZdZxFFc/PTVI6OY2po59KI06xYcY2bKawGaFhDFKybCV86hV0agsNTzdl1TjaqIFJi5WqVEIRW6gVGNXZ2D61RsTToGnNkQ8Z0Og15AsVBuuLlCLrHH78KOPDO5gbuQaNqsaK7OPr/2M/S4te7IfupTzwEO+fMXL3S2s8tPcSFHUHouznVAMEZHRqG6n5GWjVkdVW+qNTjB07xsquK9Dfdgtun5lqcRWN1oNKffElKqhU6Pr7EbUXpVSqhRW0pp43pP3300osfpz4aR0DrU5NJJTD9t2DuE1rY6ESwvMmeiP+jFy9CTzzjMQn/9jF3IybiRPdnH9pmFef30lx/Fra2/+O8cYS68c/DiErGSFILnqxlHJx0skXv3qYelnm2muf4703nOAB7mO9ucmHIge54/g6S7fdRdRhxV8uI/kCzEqdZD0tgrE0XkuQvOo0B3Qeyh1Gjmy/BpdV5MxSBH82h3u0n5X5FNVKE7NSZCLVYttIB+1Gm1jmLCqbj22BHtY3NwkEhoCL2ktBv5eMyYbG5aYn6KfVXMCahoZZJrA4i31xnYmrd9Hs1JFYtLK8GsDlb2JRxRE9TooUsajSZFRVUnEbsZeH+NpfD7M0OcDdzS+znXHWP3aIHXdU8O+3c7h3ElGqMTsb4NTENlZjHm7RL7KubLLVpmMxCQF3C2PWjz8p0lkKMKbt4NXaOZ5yxxhdbLPXPEI7LNORkaFpR8hFsaXUHDTnmPF30xeaoV1tstrsx6/boCa6UBts+D39qLVOJNlBvRzG6NpHs91gKTXDWnoGk86NVe/8kcKDb8SIFEXhhcUpdgcGmI7lodjgwICbtXiR/Z0OrFo1GpXIZDxP8BtfonPqDCdvupGMYEeu1TnZ56UsNKllLOiNGmL1Kn3zE/QtTXFy/0FqBR0LTTcuucBiCchVGbRGSXvcbKz18KX7ruLFh68ksWnj7Y5/5EOVz3N67yVsXHsYb7cJpawh7xGRrWqCs9PUizoK2+08VPgEpWaOn6t9mP2SxMrIEdJaLdTLyOo80yRItrqQRSPLdZGAPUq6WmW+OY9a54egjqueOIpWgYk7B6iVmjiNWWI6O5Loop5LY9ZrqbbylBsGdGYdQltN3Slyw999mYLDw0z/fnStGn9f+zQFscIvG36LdrpBTd+L6LORbTfxhOZRZ+I03ALnrr4Wo8pMx7nTOCbP0lSpePQj/x+5rXuwJDbZ9b4PIIoCyUyVvV1engotM2CQyTWr7PANIBkiKDqFUrNJQKrhb4/h73Ig26yU5+fQeLyvm9tqq0GklKLYVuOVDBjzGTTei/IaORS69HoWK3n6DRpK9ovl/SsNP7WVCorZitHdT6EqomkUUdlLbOokWp39DL18lKuEp3m+/62cm9vK6kwfnpFnaKgLxBogV5soOQG1086IowiLDSYEgbJOpGbTUBfqNMQ8vWww11IzUkgSqfuoiCHOZscJIGOw7yOnCHTIEt88GsYjVdjmXMHa3U2hLtJIpfD6AhRdXvpGBliNhlivOxkq5Ul2KsSySeTFEimXHe3pCwiercTWY5Q1FiqSCnnuLOsdGUxtkUzRSiNnRBFaVNIyDsmA5dQk+Z49qPoup0OKc1adIa0xUm0YUVXCbJ+YpGt2gRevuZ5V8xbOTY/x6L07yGWN7Ni5gHjz75Jph7m7cDV7J+aRtTILh0ao1PT4Kl1k6wnS8UVU5Rp1SY23VWPP/AKByQucvupdjN51FfVyGI3eT70Se13YT5C+Z/sXQ4Jv7AX700osfpz4aR0DQRDIpMqvkSuVIFJqlLFpf/SKwZ+RqzeBwcE2NdMMpv4Qg91xbPYCsi6DULZTLbhoDz1EslJl6eGPM3+8m3MnRzn20igXJjsRVW3eefNjXHP7eU4Up3i08iQOpYt7XpFwbkYYv/4axHyJ3J7rqTQVLtdOE3cWGWz2shqdQu7qQeM349Q7sDTzmGx9pHJp4rKMdWUF93A36XQVUzbEtGLHKYk0rDFasSgjWy6nWlgmXg3gdehfdwqzymqMagmx1cK4GGLWpUbt3Y/v/JPYp1eYPLyNiKAjsLXA+aPDbG7Y2XVHlbyQwdEqUJS7OfHZYZ7/6gGWJ52oNU0uv3WOX879JeZihkfefTcmm0K4YaTqNLLdtcEVgeNM5DpYnffx5JmtdOXLuKXT+Mw1kjhwr80QC46grbXpdnnZ397NmcwLvGxdoVio4+i4HlcywrquQL1qRMpVaPbYCK6tEm1ZUNoZ9LpRNvISNlOcjc0G9oAOs8ZEMTNFTNARKkbJNioMOkfRN6y8HHuJba5tP1J48I0Y0XI+Qy5XZD3S5urtHVjUKtazZfKySCZeIugy0mq1eXpmkeu/8QW0yRhPv+WX0asqZHu0eKUUktVJ0Qz+SJqIVUbVVNg6dRoEG+UrhmnWZSpCjHhbx4H6LF+bu4lv3Xs5J58foZQxMTga5fIPPsenFn8TWybDS+/7dTJOM/lQDlU5ij0ZwxFLUDF2UZRUnBC+wGz5AjfY7+BQ8MNUVSCVo8j6OnVlirzYwqC9HI/Qjd+sp1Yo09EqY3dezlPpb4JUYn/sCEMbS/jXV1l6x9U4TGbMuTouiwWVxkA2oUJbjlIIpbHom+iUEj3NLFufPUX33BRPXHs7+bvew9PxL3JUPcUl9QNcl3ChVLQ4jDVUuTBpOYHs7Ebu8IJPYNjoRHvgamKju6hmy7z6vo+xYg5iasUQLrsOh9XIcijHcKcVk6xFK1ZZKOsol2bpd4ygkWRqLSttpYZbVUNd9+LymhG1WtqVCq1CAcnyvQpUr97Mg8sT3DC4A2lpCW1nF6J8Mb+v0W6Tz9do2sHcEMkWwtjbDlyjVpYbLtqGEuWSCqujhqUa5mxqhFIth2g3IrRU9E+Ns8d7mmf9V7M038PS/Ah9gQKBapmutoqmyUHM0ERQOYgV1RhbMjlNCZ1s5qBOwCDUybeDrLbNrLYSuKs+umxbOZl9hmO1aa5KyKzXBJbnZ9nRo7CYqpCom7lAD5pWjqxgwhGeY9PsZ2k5TbWQp5ldJ9m/m1TJwmRrDV1Bx1rbjiNfQKrnMFUrhEQDKUcJrbSKo+7C35CgayfzwjnUVi8WfRnL+jh2g4cNjQ6nWY+kNZJW+knnalgbp2jqW9x238OI9QZ/Evgz/uGBy5me6EAltnnXkRfYcs08Tyv34JE8dPa+k72nz9EzO8vEldcgOB1UjMvoM0VM5TY1SaIlg9Xi54Zv34c6nWLxt/4Uf5eTWimE1tiFKKpp1FLfF/qrV+Ko1EZU0g+W2vpR94P/1/HTPAblUh1ZK70mofdmiBX8jFy9KQgCKMJp9FqJ9tACB7rHufaKZRyXljnYr2G9Ok7R+xLXjtQYM4NppIrBksPoSvLWtx9naMskpnqWL9YeodDO8Sv2X+D6B16kJUkc3X0JRfcorWKWPnOFGZNCfzqLQ9FQ0SfYuVlnfDOOwzCIVV9Fa/DhdvmZmZzFuXcL4twi2swm6cAglbpCS5VFXVqiP3CYWmMFg30bBp2GjXgRh/n1DdsURaFw4jjW/YfItBYRq1506xfwnbrA/EgPzcEAEnqKlRqrcz2omiWqqjbPPnKIx+7dR3jTg9lW5cgtL/LB9x5DY0pwy3PfoGi1c+K625Anl3E1FJp1GaQ6NlOVfaMzZF0tYqtezi0OMrWyky71FJZGhLK7C8/aIhWzkyV9F1vtEreclTjTmuKEcY10eYYOgsiWEcrhPNZRPcm2i1zFQdPuJN8qYCyHKEgDqNQNjM0GZzdXWMpP0JZ1BK09dFs6cetdRJNVqk0ZqZzl6fUJhp39yLKeeiWGpPmXjeuNGNFLGxM46KBZa3FmIcyuER/1eBmbQ89GukxRUDizMI+7kGPPZ/+aaE8P2Wt3YDaXOY2fPqMPp96IsVhnsl6krdJRMJfYe/Isvo15vrbzChQ5S1xTJvKKn3vvfw9zp/poNiS2XrrEte97is5LzjES3uTmJx9gs7ObZ7YdwlraxFUrktZbcFlcyJYOsuk0Zftxvlm8nw51gN8Y+A1scoW2XYuuMcNmK0ukugebpoFPHiHgMjG/WcOoKaKxeGnHp1iobLDYWmKf5yD9q5t4QyHyO/uY8o9RzhgQkzl6jEVUTQ1ieo2SxYfPXsYlaWjmFa79yheoa/X85Xs+zHTrVf6h/A3MbT0fa95BxDJC3usnRg2nvkSglMeUaCAN2FCp++nbup1GJoTcM8La299JJbdBK1lAMzTGkb1byNWbTMULCDqJRrtN0GgnX92g0tCTqicZtvfx1Pp5glKOXv0udHrdayKyktVGdXkJldH4GoEC2O700eGwkJ6ZR9vd/dp9k1rFWqXGsM7MrFBFl6mQqajwG9Ps3LGT1U0Bl2GNfmv6f7H33lGyXOWh769iV3XOYXKeOTMnJ50g6egIBYIEEiIYjA02YAx+Fy7Ovvb1ta/t9e66wfmBsbHBgLBNEgJJYAmE8tHJcXIO3TPd0zlVd1d31/tDBGMkEMHPD6zfWv3PVK2eXXt/u+tL+/vINXrxqWmsmh21vYw2EiJ6foH+5VkG3wmnW32sTfZxeXKIYHcWh5XAkO2st+1sNv3EAjU8y2n8bTuaZxnLKqG1utmsKBjGChVXL32lPHlriC6vxLncKS5U8wxwIy63yaW8C7dcJtJM4qqssaI4SOUrXE5CeX2JptmkJdhwhURyqwLlRhLpWoaCEOSguYH3gA/dY5ByFhEaCbSSjbo3iN9eQsjABaNI2+VjuFXFM7+Kf80gIXrIR0dQyvPMFDxUFI0x5zbNQhklYfDKf/4yX5Reze/O/AYgcOLEBd7x5iv4BuqsOr7M5cZ5rpNOcItgJ+kNMn7xKrZ8i4t93TRaNTx1CzHYiVh20GHTsVxw8q//HzJ9I/j/y6/QrK2gOfsQRBlR1qlX1lC00LcZns8pX98eDv5hfw9+0vlxngOHy0ZirfBd+9a+qO95Sbn6wShuLFKKf5XRmVUqTZVGNcpgZRFFa6A4DjBT/wop7zT3RIYIj28QncgxcCLFrsokvmCGT5aTXDOfZI90lLdpr2bXffeyOjTG+buPkhS8OP1lNkIqLV+QHbv3M1/comvvMO3RQQLxdaJCifWlOsn5VezlHFarzHK+zuCBfeihKI9N57BLBfqHg3iTm0hhDbtnFFFU0FSJlc0iHf8qwbty+RL6yAiSw4HSKoNTIDWzzejTj7E+3M/Gnp3IJZFh9wanL+9gabaDmTPDZJM+uiIpTr5xlje9+T56O2SqLjfR+Bo3PPFF1juGmYvdQFG1EWktYa9X8ZtZaoZAOLVKdHiK2F4DV1vg2nQ3T109Qrausss2RcheQN7ewr0yRa1aohIM8N4vpZi0pznjSzIvrrJnswvF7kQ0XYjLSWx2Ly5RRuyQEY1lHE2JpCWie1r4LZW2Q6RsCHiqYfKZKrmcwdWFbQyzxoEeFw0bLCTTFPMuMPO4nS6EFwgPWlYbh0P7rpuobbV5dmWJettFSBBRXXGuxjN092m0Ei384RbZpfO05BodX3qYgfNnmD52jGK0i8nYCYxCjrEOCbmxQnJmhe2OJo1GhmLIjV4uMD45S1bvYLK9j/s/dBeTZ/fSbInceuJJXvOLn+fIoWfxlVKMF7Lc/tgXCG9tce7oqzBDUQqCn5TSxq8CJYtiw0AfSfHB7Adothv8ft+vo26EKEWDlMwFsqUGA4ExXL5hipUCZiPLodERVpNlRrsNzpgGw5c30QfGeLr4JDVLYj+7GLl8lkbQTTF8EwWthKPtoblVoF+/iCWLNOUADauFXPfRceYS49dOcerkG8ifnOBTq39M2crxeve7USJ7aJjQ2eGk2fbgiXqxdAuv1yTmDZJfE9icXsEf8aJFvTC1wNJKBv3AbvaNeVlfMak2Wuzp9tHt1mlZFsslA1H0sllepFJvsVypoUsmMaVFqxiis9f3beupRKOUzp3F1tX1zZewLErYdYXC8ipq7FvNkAVBIN9qQbZBQaqxf3yU+cl5NOr0jI6SXMmg+xJoZhO7U8IxFadiqKzIMdR+me2BISYee5rOq7M0f6kXQxZYnenm7KUJshUXoyPncRlgEzdR7TGk0iaGoiKkHSyVHaSsOLIep8PdT7XUYkMER9agWR0jJ1xiqT1JoOlCqk1g28gjeb1cFTwsF1s4zTyyW8Cll4iVFlhWQPDrlKwGdTHOtcwaPeUy6Z0iYdscp3M6yZoDe9NAUFRkdRmPJuAW0kzXKgiCRbSZZ2O1jGqUyfaHMUcHkTeyWGGVQtOJppZxLy1z+uo+Rv92lmPNU/wuv0/gWIHffN8XCO8tofeEaNqLPFL5R7bNFHcH7kCvhFjs6OLAhXN0Ls0xfeQ6wmUflrsfra6T1TL4nQF2zs0x9PgjLB8+ifv1d9KsZVHt3wrzSoqTemUdxeb/+v62aNYzKNq3N/r9bvw4KxY/Kn6c50AUBbLblW+GBn9QXlKufkByDYvc+VWujceoaRHkbJ6k1IMgNxgv5HE465xvzNCgwrH6AG6twshmkSV/naxd4/7i3wICbw3+JoOPPc7g1GUeP3k7U7EbODqUZ8A+wk2jXciKRbfWzdPxaW4dGOfK9iUOH74bc2ma/pO3EhoZYLGmYdbb1OfjFDKT2Aomy3NTdKsy3pVJLLOBaKi00gUaW1uYmQzFrW0c7RqWYdCu16itrqAEAqih53IOdMXFSm4aT9NJ7xc+h9Ad5JndexCkGgFJoSmaLMz1MjKQ4E23Ps7PvPILaBMNsqZFzRGic2MGd01n77MPkRjdTeL6vUSdCbRwnZKqsdqKYgs2MWQLl6lhBhsMj8TpP5xlc97D3NwIj83sR9Ba7BuPUwiP0GzacWKy5d/Dr91/ibhu8HS0yKx6kR3NQ+QEP72xCKbPRjHmozm3QjwkM7ywSluJULYUBNPAX7VwKWVWjFmcOZPzcxls9jZqJklNjjLikVizUuzoiNBsBZicm6HRduBz2f6VRbtBJXsVT6AXo9Z6QVm5mpljM20n3JbZzK2QWzbQlSamVaVgrbORrjJbD5Gs+zn5yb8nkFznidf/LLM7biBRKLOjJ8BSdZFkYoOtDj+1cga30YNe8zIb7eFlX/sS2kqZd576C2plO0eOXOKXf+kzdO6eZEwoopZMZNmGo2Fy7KEvY2oqH3/X+6iE+9i2+2nawzhtLpTuNHpwk49nHmS9Ms09He9hj3aQuFok3LhGoR5Gih5l0Coy0KlyZHCU9dIcT140GR/NkhYUXmXrxEYav9TBA4XHSDZXORa6g4OPfpWi4qB9woWeq1NptfGQxB9tM18ZwSgK2PM1lIrAHfd9ALlh8D/f/HrO508x2XqScfkoRwN3IKVsREJRBjQJpbuLYusMNzj60SI6y1knPYeHycglri6DsXyZUm6TLX2Am4568YZH8QUdXLyQoLfDjWqT0WWJkK4S1m14NC+JwirxWo4Bm8mOwD5qhvAdFqwgCKiRCOWL57F1dn3z7631FaxgBFH7do9wo22Rz9cY74lyfnMdp08kv9CgXFthpKNAOV6kkVWwt2UqTjcJrYciMpWWhuzS0ZJ5ehdmCTVzrL/RzVhvku3NKFML/Zy+eICIN46tI4cl1+nsraKtVFHkOj2FZdL1AEbaSz5pIlRMihWTRmkdsVVn3DvEOeNJFlrX2KuO0h4SaTqytHQNt+xiKwv+agNXo8mWbQ+H5A0kUaddEanl87QrEi5biyOOEnPbfbTCfjSabOZ9tBpJghmdrDeGYkgInUHGMikMNcBYOU/dcRiXo4P5koKrcxN3QyBuD5G5z+LD/3A7l5/eyQeb70YVTc689zXEXrbFnOZmwlOmulan4Mlyf/JjRKVODlk34SqmsHtjOHx+us6dwY2Ly3uO0sRNyyEw5HKx3W5z22MP4569yvov/hpqv4TuGf62ulWiqGBWt5A1P4Ig0qiso+qR76t46I+zYvGj4sd9Dgo5A7dPe1EHGF6Il5SrH5BHHvgyq50wkU/S9IlMemuYLVCKOtFdJRzWHq6Z55mx5hhpd6KGvSTKAsE+kwdyD7NeW+J67U28PBlhYO4q0ZV5zt/905y8cSdGtoIZLKA4OmhbFudnp+lxdRIMd5IprRCyKnjHb6Z09gxaNL4R9w4AACAASURBVEY07CbWFSVRS5Ks9nK6WcDn6uaGWw9TLU3iOXACR+8EajSGEoki+3y4A16Wtg2CHh3LbCB7PN+WqCtKKk0jhcPhJvqRj1HxBVk6PkxacODM29i/Y5muiVVecf003miNFVeERnmFvoqMo5rDVZfw5RKMXXiKyetupXoiQEqM0EhDniouLYdQEGkLG+hWg0inytWCE1ukwO6bZxFtsDEV5cLMDk4tjiDWttnqalKMtUgE66Q7vPy3j01hqDIP91a5aDvN7lqMvNNBQ8rQyifI2zpwVR2kum0MLCVJ+LrolKpMln1UqgJeNc+CVMPTbefW3f0o+QbViBdyKYLefuZLiwyFYvRHfDTrGWbjTbbzBkGPRqOyiijK2L07aFYWaIu+F5SVM1tLZPN2nMUq240cx/qd1FaL5BudHOj38uxKG4deorpa5vX/8CfkQyEu3f42Sg4fBSONYV8hmYqQ0wZoizXUphdTdBHfcvDU/UcIJhKcbD3GTMcEL3/HaU6ePI+tnSTki2GINpYLo3S4csRWlxh79iKXb3k5a3tuY6uUQnFv0yO1iIRTSE54urzOo5ufpNfex+3dd1Iy6nQ7MmDby7G2xHYkirfWJGjfxOXfSYeuMF1boV+CcEOjtHyFGjE2ig7CQx6eTj6J6NjBHWeWcGcyLL/pMILajVdcx90fZXFFwq67EbskGuUgB5ZPM3rqES4cOsricJtPtu/FKwZ5q/M/IVsqNktmPJjntM1J0zZJZxGktglhi612EL1aIKgN4rAXWWeEfMtDX5+DjoiGqodZS5Xo6fVRzhrUDBOn61uhPZeq06pv0uUO4cLEyAXp7vcjit/5AyvIMoKiUl9fQwk+l+hsJTYQOrq/416XIjGfr9Dj0olXi7g9CpvLLcLOLMGql4ogYu0ZxNTGqCoNbNktTHsIK5dFsWukB7sZO3uG2MwSrZ4gm2Myt40tgKvN3FQPFyd3Im7a6d6zjGE68TS2SDtjJDw+/PYcamQdt2TgalYYUHI0ezrwte1UGoOMeZqcrZwn18zwKv0VbFeieLcDeKt2Yi2VRK1BLWJHLRUwF4q0S3U2DJWmPcvBSorQsM7cRQ1T99NOlBDyLQx/mYalYzMMIvYSV1sTeIt1pn0wcHWb1eO3EVDiTJVbBG0GzZLFQ5d38uifDXPqmXEahsYbdn+KdyY/zLW9R7mybxeOghO5UmbLUUP0l5nLPMqkMcN+7Raur0WpWv2M+kyWohJjT18ltDxD9i3vJqNl6fd2Ex7uJLmU4pbPfAiraiB+4H+BYH3TQ/UvkWxeasVFFC1Io7qJzdHxHfd8N37cFYsfBT/uc6BqMplU+Tt6HX4/vKRc/YDEjWU8mTSJvuO0izl8jTZG1cSuqYjRGuWUk4jk4rJ5iRVpg4Hm9VR6S8iiyWcT/0RADvGu7D1UYz6OPvxFtHKRxPt+nXBIhXoBMdTNdHaeYd8g19YWuHH4MI8nn+SG3hO062kEUcHeP07pzGnUcAhRUYgGHGwnC+yI9uF1OnHkZsHZxhXe981xC4KAIEkomo2Ngkl3bxjZ7UZ6njoearPMKiaDH/p7Cp4w2UO9lDUvbdEGCZMdI1UapozWylKSPOiKgiFG8FsmZb+brskrDMxc4vyB/azZe1G1JHWxD73YJlaok2zqiEofPZE26zkPkaiOVZDZ0+1iRL+M42UZjG07SzPdXJyd4Nyj+7n65G5y6U6Mej/1bje/+vCzKFKIR3oKXFTOEXIf4tb+m+mqi5itBlUjQ1mrIbYD+LYSFMMT7PHkKVb9LAmdVGsSASnJYnyDupWmkWkzsnMAI2lQpkHGzBBz9aBYGbqjEfweB3Pzl0gWRDzeTmyqjKo0qdVbz9tzLFlJcSFRIVqTyVaL+NoVbrjxCB1BH3OzVzm3JNHRFcHM1Nl/9iHGLzzL3L5jXD55F41mnZp2mUZOQLYp2J1tOpMbpFJRnvjCOE/8wz5ScS/NoIOfqt7LgY7L1I8q1D0WuUCIkGqxvDZKyFZgWwtz50c/il4q8sDb30lDqlKxR/CbLQT7NqbNhmlJfHD+D7CA94z+PjeFR7GJ2zSrMfz+LQohnUp8BVVO4hRMSvk4hWybna4kQwPjKDkBm6Wz7Onn+ESYcLXMxxMPUpcyvCU7iH9xnsu9u9F6NfDuRC5McTWzn2AwgL24SrfDzZ5PfghnPs3n3/vbfKD5IYpUuKfzp7jFcyNsw85uG5XxQdoViwGhzl61F1evTjhykKHYAKtbDZR6Bq/LRcBhp6k62dWXw+EbRZRU5jcKjHR58fh06oZJMv5cbsU3LNSgs5P1zacYjRyikGsTCL9wWw7J4cDMZrGaTUSHAzGXxvJ/54kyQRAoWG2aqSrBcIBkMY8kNcg3YhQCMcSwm42ygN5UWUm0cdZyBDo01moSbdXApjqoiipjkxcJbm2TfPUJ4hmNXddX2HfwPAvzfUwv9HP1mTHUvioDwTRqqoRsiCgFnZ60QFnL0giPkNF6cNjbJNUqMcmFKnrZalxmrjmHpbnZ4bgBTRIZkNLobhWHuwsjb8MMlVnw2ehaX6PHnsZnK+FuwmOrvbhtdcTOJqPeIjW9hauVo9uqk6yqlAQ3NncNKV/FvVwk47HhXy1zJuul6oyQX/Xxj393jEv/PIBRsjFxfJI7f+EJ3rHxaXrXpvnn195JVvSRFRwci3jwbGp0N5b5TO0rpFt5ftb1JgKii5YtgqjFsa+6MHxBeq+cRtA09r39LZSUBImLJSLhKrv/6oOkhieov/EmdPfw83omBEGiWc8iyjpts4SiBV7MK+Gb/LgrFj8KftznQFEltrdKP1Ro8EepXP3oy6X+/5hwoJN8/43kEg1SpRCetQZOK8ZIT4H1S/0UvWV61Zu5xfNqklaaLfML3CRF+cTK57Fo85rS61E6RqjFvIRW5smNDhMNNkltGlgdfjyCyS29N3ItPYW/FcLhUWjThkocV+gIAA0jjvvoMcoXLtAyDGx6iM6OBvMLGXaMeqmWp/D2vewFn8GhKZQN8wWvK1oAl82G6XQQbFbIJ+1ErAYJp4UsCtRLAeRcm7QrSK7VolDqJLA0w2Y7Rs3lJlJaBUA8tIO22mJHSaWjUSXotXhYHcEa8IO/ykI8jNNoo5h5hrUy00sWw16FW/Q17viNC7z7L6e44c1XGNm3RqMB5x/fwcc+fxtvefjPuU++m9/+6ja/88gNCIjcn/kdPrf6l2TcFkFPG78WYKJUYDtYxXRqGNsbxBtOFE8bLWPS77ITzw7SkKKoTh+t2mWe2E5T05eoVhok8xlOb53D5hrCKM7TqswzOtDPnh2jbGxXOD2VxObqpV5Ze945nM/HKRU0StkczqBJZ0DjkYsZTs/E0ZsCRquFIxdHbFQYuXgWgCdP7COpr7JWvIC75cdthOm2WYgrab70pZv4xP9+BdeeHEZ3mrz1LY9y49uukgpH6ZubY8sd45rbRUeil+n0ERBaSI08Y1tLBNbXmD9wlI3WIFs1GyOuS3j1DD3BHQTqfv5s4Y+ptkq8afidvH5sNy29QlC8ibA+zr7xu9m0ennlDa9GS1nMXCmw1W6TEkQWC4Nsp6OsrhR5dKXNUNRLSy8QLAgcDh9mxVjkmaPPVTgWV21QLRMI+cmXQwT0JtVahXGfxO7tZ4gtTbF68Hou9V8hbqW5PnIbv3ryNzAGGvSOu6hPBACZHlcYpd5CEAQsoYZiC5BYzVE3FYZ2DxGJQm9XiesmvEiyiKQ42cxUiPj0b65NIOwk2uVh9loS03wurCuIErs7j5HNKkQ6vnfBSPvIKPXVVYzZGZxDgy94n19TKTZbdDt1RFHB3q1jJMro2RV8ZTd6SqHgqDAyEMCKBKjWG0Q67JiKnU0twMrRI0xNHCKwusnEx7+E4M+Sy6QY7TX54B/+NXfcdYlSxcn9f3IbH7nv9bilNl6fiGuoyMzBDiod45TNGbzpBcLpIjVblXL7FMVkhF8M342MzOOp+9jafgpfcpqyXUDw1Wj6phA8C5RnVbpKfhZ3j5IWanjrDSazMfYbcxTdflbXbTy2sZsFT5ucfxinWeG27i2O29bwZU1anjpSQGa7McI/PbWfRz9xHR/5leP89f88yvqSj70HF3jnH93LDXdeYERLsu/qV2noOsW9USy/g/6eHJlWki7rKmt9A8zUV+hu9zPu8JIvOVCFWRSxF2H3CRyvvImG283IFz6BvdpAK3rI6BscvToFQP34dSha+LuGfDT3EIWtJ7A5+76nDLzES/xb8x/Kc7W8WWRhMQ7VAicys2zaIly3J8mm2ktpW0cSFFxCmaiti0njLBebi6TqFldrp9jdHOGE6334IiECczPsfvxB4jfsI3X4JgqKQSzcB40c280GZcMgVOtkXphiwjuAU1ZQbD5k1U27WaHZyGPvn6B8/hxywI/TIVCXZBzpc9hCfWie7wxTfAOf28bUSo5Y4Pm1c1Gyo5s51E9/HqVU5crPvAt5a4qax4sk6xjzOfJuB3lVp113EpGS2KQg/aFVmqLO2COP4t/e5POvey2y4kKJ7UN2RaiLCt2xEmtJO2FPjYRpw5XaZi1kR2q6iFhZCoKTarsHhzpHVGvi9jTwHz/Hq3d9mcODkzj9NbzeNp8q3sXdjc9x1/oVHpz7MxJj57jWfIqFDRd7Y6+gWt1EbnsR1DLhoIiLIiWHB11poOXbNLAR6tFoozGfKOA0vATcAkOhGDu697CxvY1ptriav4rcyJKsV8kjIQjQE/QR9Ts4N5vCY1cRrCqS8i1PR61Z46nNLUgaRN0hKqUEXq+TcnuVuOxjS/TT015mKaFTLNS564EPU9XsfPJ174KKTq22jSMuU/UEOP1lHw989OXMTfYjiRYnb7nGz73y7zgSvEa5LWP1weD5OcoNG3P9d7IhG2glkZg5TXNkiMN//wlCiTUe/qlfIOnqIdZnZzPbjxnoRWhN8snUR7mcf5aTnSf55YnX01Ic9LsPEF8p0NXvZ7baxK9JlJbWsEdc2LZMZKuX7g7w9/Zjblwib4syEG6hqltkUzlWiiGiqp+v5B4hZ3Pws4/FaQWjzIzdgqv0NabS+9nZ18LmWyVg34X/A3+CM7HNX/3im/nfqT+l39XPO+WXY+s+xv7oAClbFqROOnCzXZpjh6EidzloWArxDZnuPj993R6mVst0RoLUKhu0a6to7n5k1cvMWp7xvm8PAymKhD/kYHluG0WRsGkKkuIimSgS7fTwYlBjHVSvXSV8eP8LWqouRWI6XaLH56Am2EgXEkx09mNpKTYEG7W2iqtZZG9XJ71DPaQuTNMd85Avp7B0BVHRWQ91s/v8KboXl0m/Yhet9kFMaRaX0cYXyTO6N83yfIDZmW4eu7aPcG+NmjuIY7GAafXiNxuUY3XmbCLDdY2E3EIvXyNj202XXuVS5RrNVha9P0Y6pZNpWJSXg0hFPxGbSblexr3dxnLYWU5rlKM6FbdBsVlBF0o0wiXcjRAVawPnapR6Q+XilUEef2yMB794ks888HJOPzXBylonuaKLgVCcffuW+Ok7HmDs0Ax5h0RHu41/OsfxUw9y7tBxEn276bAXkOptlFKZU719LK1/imvNeV7tuJ7BRJRaPknveB++nTfi7vdxPmvDU98mdPE8y6U25ZtvxhcOMfK3H8K2ME/lv7wHdejwd11TQRCwObqf1xv9vfhx99r8KPhJmIN228JsNNH0F98K7V/ykufqByRdaNLcyHGyVqHt6ScT6AbZRq+cpyu8hLcuYCoxnHUfr429lpbQ4onKQ8iWxI3hX8fl1RC6GvguPQ3A+f4uHpuaYUvIk6nlqLdN+tw99DWHcfs08rU8AYxvs6RUeweiqFKvruM6cpTKlcsoBBj2byBWVWze6AuM/jkkUaTdtl7w+jcsu1YwhJzLcnKHn1xZJoLJulPFNyTicW7TlNq4tRrjrW1c4QortU7SoodoaoWSx4st4CXgqjC/nEVqNCk4y3RoOgciZTbjnThiGumoC/uKQLoWpyLamc55IFRGN9yomQRHuk9zm5xGGRjGGg9x610Xefttn+AXf/1xPv/O/0xLkHho+3fpuvczkBpnSvswv/PRR5DyCkZFod5SmU2FuerejRpPULfl6NxvErXWaWzPks9sUjSq5B1tHHM5FnNV6pVVbpk4hmAJ7LIciM4Bxny9jHp7aFttJjMznN++wM0Hu5mKC+SyCSzrW/P51Y1p6imISW5EvUrYVmGpYrK5GaaZymK3FckoMjmhyFD8Mg6jwuzEQTRFwyxvEEh7KNijPPDXu3j0My+jXHJw4OgUv/pzn+S9O/6KcW+Js+P7sQ/WudK3l6LXw43PPIVmKrjtMVRpnZnQBKlcg+HLp8mGY8wF9hLskSlt6OwbjbKvVWSuWuOx7a/SpUf5+YE78Qd20u/bzdpylkiHi4JTprqcp5qBji6FZl0kPXyASC2BVgGXWWQ1XaBeukZstBOn24HRfYjrbj3MXYE9xBwdPC1cJW+X6duYYaWgsZ46iubUGTtyHZrVprJ4msj5KeLjQ/y5ci8CAu89+Jvsa4cIKEXmCjU0dYg+l4dMwcBWTSFrOtuFVRrWICMTEWyajCJLIEATHad/N+12HZujh1ypjs/5/C9KURQYHo9QzNfY3ChQrTTQHS8+gVkQRbwnX9hD/I295PPb2dwoMOxx4NUDbNg2afv7GeoO0N2fY321RTyZRmtZ9ETdFGpe1GYA3VwlW/Pi69FY2r0PW81gx2dOMWC/SDJ1mBW3k8iAnY6JJm9891O88uXT5Epu/uIDL+fh+/ppSlX02lm22ykKZZNY0kNqw4WU60T2D+DJt7g7u59+wpxrniM506TtyJKopagEzkH4GbY6Jin3bLHRk2GzVqZddyAWG6QdAwS8kA/uoXFtiMkHB3j2L1/H7334jbzl936N//7Jt/DPF46TzPrp6k1x+JYp3vOzn+ZDv/ff+IX/+iXuuflh/J0m3tImndU6hbqPE5c/D8CFnhEWKiqLdTeFhkFrWKDfbHDWmgcEen13U6pXifhjdOjQG3bRztbotmusv+a9NJ1Odnz2I+yySxwKR9AuXqSh6UjX3f6i1vUHUaxe4icHf8hBJlX59x4G8B/Mc/XEpQX2uBREm8ZTSgfXRRZZqQ5gNZZweF1kKx6EpoxVlgjZhihqSeLGKkddr2CHdD079nm4utrmLU9+CnU9zuV3vIPwRC8dchfbmSJuw08pV2d7q4YRyuC2KXQ4vtX76htIipN2q06zto19YBeVSxcQijJStxPdN/I9TzuYzTaNZhuH9vzaeatZxfXYs6jz89Te/vNc1psoV1JIXXbszgNM6iai6ecV9rNkQjeSLHvx6XFcqU0OP/gFUp0xGO7HW/DimPBTcmW5Zeggya1lhGqdWMzFYt6B6rfjzKyRc7ihaKH5CqS2HRRkkUYsT6Im48TBUq6TjO5FVDuxp9MEi9OsdkUxHV72Tj/L6zrPIB75ZU43v4IRuMSpD/8loV1tIloN0V1i9/wVVpV+Bi9doaTXKOdkhEWFmFwmGCixtK0Sr3tomG2cQgKXtx+ntUGmFcA0ZHA5sBmb+D0DROwhXKqLrfoWo+EYy0kTs5rA7QlRqDc4PTuDYgXQLZl8dQ5Ns8hUI7iKs7i7mqhWA8PoxpVJcuLU/XRsbvDAbW9lVYvRrhYpFIb54keuZ2sxQs9Qgv/r7V/ixuA5gmoSoytAMdpPlzHDSkmgLY9gw2Ro8gqOlgURJ0Z0CM0f4WWfvZf+qQs8duM9JEYOENI99O+NcjBapOGD//zM21EEkb/Y9w/ctu8uHIqL+ckk0S436+UajUKNWrPNzi4f8ZUtop0eAhEXlXwFb7SL5TNnCew5Qb68is+tkJYHCeo23KoCRo2K1OTJ1FNEtAg3nlml+Ms/w2TKwZtes4uF/CxiKs/uf7gfx8IS73jPEKdb09zT+VZ66jexP+hnpbjKgcGdqKJIUFM5v7rIQK5KqdHG1+0k0j36bTIb8upcXczQGfZh9zy3ByaXs0z0+7/rfnB7dZpmi6WZNEM7vnvY6Pn4XpaqCeQyVWJhF/mWSjV3hbAvzJCvg6gjzMWNJbSuCn4rRLYCcmaTQM8Aq5k0Hl8draIyPTTCzqkr9F29xuM33giOMIbZT0u9glP2U/F68Po22XN4lo3pALMz/VyanqCYs1GrHEBOqiRtWRzeFD16jqLVR9jIEhcH2e+M8nj9GdaFqxzMv4KBmheXo5OiNkhI9tPZbGNkFJamRskt+Zi6NsH5J/fwtYeO88SndnPu2VHmZnuIb/mxBIGegTQ37J7mxK3THLnjKm/Yd5Fd+jX0aJt5bx+6pOB2qczJEk27nb6tPL35DIcfvY+2qPD5e+5EcQgUC0mSSo6LmRXO1b7K1fplBuVR3uo8SjUrcuOd+1Ei3ax++QzFOhy+foTYUIRSKo/n1BMYxSJ1UcD3sb+juG8vvPVd39e6fr/8JHhtflh+EubgX1dr/375UXqu5Be68JPI64Z9rOTcpDIZ7MU0NtGiYm4T8N6KpV4mpIq4WWRK2oNWN7nH+27G7ScYaO9hzNFDPqMw1mlhu3SFfDRK/+DNDA5FOZO8yM5YP2vFDca1NpbgZbo5xw2OKDbH84f4VD2CaWxTLy3jOnyE2toqlm68qJdDT8TJhbltwl79ea/bHF00v36tmG5wuHOEqdllWhWZafErdAkD+MxFCsHrKWVU/ANJakUvnvkaomUh9k/guOF69KLJ1rVnyJVt/PP0MsVKG9FyYEkLhKQ2q3UnforYTSdZRwVX3I3Ln8ZYd2BWOgkbVZ5xO+l3zOMo92OgY3a5COQUdjfjnH/VEcamzjE0O8nrLzzB00du51n5PiojH+Zjf/x+bn+Nh903P8JV/1HEVoa5vkPEVuZojbSptfKMTC4TXEgzP3IDqtrC1t7JcqKAUf4cDeeNLNcXiQm9zC9vovWFkMpraM4ePDYX88YmAVuYXcM9LCycY3I1zYXUPKOOAPG8ilnJEXJusVjah5mIY4VdOK+ImG4FR32FXLjF4OIMVZudtb3HsVXnmL62h6cfPEy9pnDD0VneefSfaBdbmANuUvVBIj0airTCtQ2ZgS2D9MEGie6DtKXPs2vyGZ65+z3UNBu9VoN9Tz1IU1HYfNkraTWhLgh4HTVMQeUdX30r9XaFd/b8LhH6aJotVhYy9Az4eebcOu4uNweGwzxxYZ21pQxjY3bs3mFy21NcbjvZXMji3/UyhuUqvp5hni6mGQ1KBLXnPD/a4BCv3jjMnyLyd2MG7/9im9HkGkOveTkOu8rKuQvc1HkY/9d+iQeuC/Jp4QxjnkHesv8N+JtDTK6lEJavUt/TwGdTKVbq5NeWkWSd8FE/su07Q3eyJCJLIka9iW6TqdZMdJv8ovaDL+DA9wJh8h+WLoeN+VYTy7Lodeq4ul+Gz9biWnqaUtpk91CIa/EEoZE4B4+M8tinFwnLMuR7yDhXCKkOet0Kj772Hu76iz/llR+7l4U/6uDUvElO30PBs8ERW5yv2vrZJU/i+B9bXPvoLr7y9FEef/o4PA0w9s3xSGILn6eK25/HHSgTc3UwMbTE1din+GrtXg6u/CdyzwTJmn5Wt7wkEm7Kpe9M8LfpDTo6tvFH8vSNFjngWyKyJ8dW3UfbgGajQWe9QM5tp3loiAYqjjyslU0Soh3sCRzFAHG3jDN1H3+7s8Sj41Eumn9DprWFIdeg/vV/1gRVULhVvoVCTsIb7SBVryFL3Rh7DrJXLmBMXcU+sQv1V99P694P4/niffD1ivrSnXfT/DdZ3Zf4SUS1ydRrTWzav6968x9KuRo6uo/8qWvMbFkcCG2Tigzy1mOHeeLsZQ4M30iyNc1m0slIWCBZ80Ghxl77TmQpiqnL1CU4nnkKuWJgHLuFwdEYkihyXXQ/55KXGPD2cWbtCcx6kIBDw2H/7m1YFD0EgkCttIgY1JCUzhf1HIIgYFnPFct7/pMzIq3Ac2UG1uafZmzg5TzeH8G9mEbr6aKal+mzCyS3nTiimyCVEMLHkNV7AdjwqFyKlzkwaOfGV7wMs5zEXE1zqbabm2/qJxG/xtSWHzOdZ7LsJ1zcpmkXqWp+2iUbuidLLiWSDHYzoDbxYCDbV5HFKtvbPvJWF5m+XYTqGzx+z90EPpTg0Bc/zmv87+dCn454yx+gTv4Uy5+VGLiicOvIx/GXyoS3MsS2VnGV8gj/IpSXeXOdZ4/fRVWfQpQDuOUaLbGEUxtk2VzGTz8PXrjKkMeL26XQF/Ozt3OcZxevsCs4TkfPTs5cO4WZz1MdOc7WhWk63HGy7W7UtkDJ0WZYU3D2qjRmNtjobjB0eQNfPsfZg9fTcixy6tM3ceGpcWSlyZve9gVeOzRJZqtJfHAfva0Ww0NJth01altbeNN+tkIK3rMpqh0dLB+7ncEnHyK8donI7puJfu4DONNp4rfeTdvlI6w6UPwSmbUs/3fiT5nLTfGW4ddxz9jPY2UNnn50kVinh9WNPAR0+p06czMpYgN+jMVVpjbdCMltVCXCWH8cx1qerp5dVKcWaMZ8+JVxivVlYOKb8iXX/NzSdQsPbzzMuQ4YnVzh3KFNlhLzdEg+gn/zEQqiyTtuM5BFmd848gcMqTLhbj+nDZPQhouvXXiWXeFdPDW7zP6ADa/LSbtVxebY9bxyvXPAz8W5NAfHwkyt5Ng/8v03Xv1RIwgCLq9OJlUhGHGyWjYw2iKK0kujVcQZ1mll6pxLpTid3KQ77GC9UWZsd4QLGwkWRB9t2UluZIix4acYu3yOmbMJjB2D2KbyuPpFHnMrKOFNLqcGGN9eI3brGW5/Y4ZSQSITN8ildVLrMdYrQQoFjXLOwdJiNyzCJYDH98G7L3LO/yTnVt4El14FTR1BaOP1FhncEafDuUlwoE7N2+BW+xnSB29C99Zxt7ZI1/NEEwZKUKP3/BWMWohGut+vEAAAIABJREFU3SIe66AajjBQmCLh34Gty420/lWean2WYq5AyopTpQxDPPdhC8kS8cqd7PGO41W97GKMQtJLb8vG+NAOstNreKN2op1uLq43OLYriihEaRbylE49g2PvXurveBf2P/9jPB/+awCaN93y7ycAL/FjR7TLTXw1T+/g93di9EfNfyjlam05ydVry3i9FlWfkwNdu9EUBbtfQmp7idYqrCkxhrrj2BJjFNVOhHqGSsUiPOoi1Vih+eizAJiHjqNLz6WsiYLIocg+ziYu4a54kTud2Mw8qj32Pcf0XBVhgVppCVeo63ve/w36Yi5Wtkr0x57/dFQ78Jxg2dJJVGcPDfsCPbYLnBV20rc1izUUJuBYZUF1s8/ZSaF1gWj1uZOCcleEiFkls27SMaij+wZIZ3rwbq+zuR6gWRPpdjVRl9exDQ7SmslBVMHM5DElgVxTRIiVcLYzrBUkJBwYbp1OpYzbkeCq1oNtY50lXAQ69xJ82R3ccd8n+aXP/A3x2zz85e4tfndXF7/1FDD/9c/XKXt9pLt7KQwEyXuHOPj5f6RzaYX6ziYxdwPDX2M122bQU6C7O4aZDmLmKlznmeBK+QrjHTLpbZFsxWQxmaeUjrNZriMlkqCHmLkwh1uq0gjWKZt+krl1xv0a6xsu6mKbXMDN/mvT3Ji4DMDUyD7u/R+vIr7QRdBf5FXvfpydzSyleJqtvpPsaJXIBWzgblNbmsPc9hP0ZKh5dxKNdLKl+nls3y0MPvkQdz1xL08eHyL45VPPfffL34jD5mGgv8HkZp2l0CUejn+OQfsoP93/h+zu9PK1vMHIUAB/2MFU2UCbKlJy6yw0TCLbVVBMYrqL7r7nlG3L8nFx6UuEU5uYZpal1iiHQi4SlTarxXV63d1kUmX8e3fxhmsneJiH+dAB+F+nn2D7jddD1eA6zyCuz76Xt71aISlV+JXd76PT3Yff3UWttML+kR6eWerD207jDdgR9CqxKkg7nIiKDUGUnldmJVFEUyXy5TqyJD5vrap/DyJenc31IsGIk11+FwDtdhtNrdEf8BEVbVzZmuWm0Z182fY1jPNPMnLzdSyuBShaW1jbHTh9dR5623sZ/q9vY88HP8Dsb0VYidQpJ01uiDiZld20jQB5XDjT09QyVZzDARxallFlmtaEnahaBrJ4VZkFeYKVVBCj2aKU8DBdeB9nfe/HuuPd2F7xG+wr38AR9TCubh+xqTw1nxPN3+RarIfNzQF2LzxD5LogaVGgZ36FbE8T7XSQqhyk5qxhhKKImo3bSmeYcoyynf8iXy5+iXh9BgABAb8cZWerl5On5tmRlVk7fhfdoT3g6WbaHeLOPd0MR0M8ee4SZiOI6LPhtq8zNO5lNgEHRkOI36iW7/E+l4N6+RKtV9yB/jcfRKmUMD1eWqNjL7Q0L/ES34EsS7Sa7X/vYfzHybmSL19E+dmfJjsxjBG0cHTuYle4k6XCKv3hLrZPTxHZs5uVZJmo06TmMsH0sJqDQ0NB4qVlVLfFyCcfwLO8QvMP/xAr9C3L2my0MDYk6LDYSF/iYOcxJOXFhSok2Y7N8eK8Vt/ArilMrWTJFGvUGi1sivhcYvA3nje+ifbAF2ledx2zI73oosR2s8DglSlKAx14LYP5kMaE12TZyOERRI49OY3j2hRrt76KjHs3qxU36Q0BWXIxOZ9nqFPDp7agZwAzfZGJoQmCPQpX1DLCZpxKsIKjEECXNWJaD7W0hsN0k7dJtKoq0kadvM+P4syxKZkEpCqCr0VVUZAdNoYmpzi+VOavDgk83Suy09rPF5s/w/8pv58/cb6fS2/dw5Nvu53t2/ezHo4ye3yIfQ89hWI2WLt5hPnqEM22RdEbJrB1mboIg53jbFgb7B0eIagGeeiZU4TOXuTgzQewai4u5tfoW93G2hUhQImtRI2aIdIO2qkkctQMOzZNoFhqojdzRNpOsgMBjn/uC6jFEq9Z/zTxRBc7xlb5uXc/jiKV6NhcpejoIqgolAIhhtzPsrQKXluVrZyPZo+PcctGrWMUSy8S3tdF6Olz+C5eYEHr5sAjnyE/uIMLt/0cesyFw75M1mHxq0+8HZfq4v7XfJa+YDdXF7NkKnUiXjvPrKYpLhdQ3Tpevx1nUGdPh52g0ySfk/F/PQdBEASqngjlz32E0snXMuR0IIsibtVFvLyJKipk4gbd/QGiJZnPpL/CeW+Z9z6Ypu+3/pStxUnGLs/x5YX7+e2TbfaG9/OeoXvYGTuGrNgx62lk2YbsdJO5vEC7z0V6Ic5g2IUS9iOI0vMWgfwGQa/O/U8tc2JvJ9L/B8rVi8mxcCkyU8kC/eFvGTKJtTzhDjeyIuHUFa6tpuiP+pgIjpFYXKHlc6CIKlutTbKWihq2EH0qzfU8O2cukQg6kXtPQNqPXC3hlrspmEvUGx5qDj/+3Bz2xXlUo4zSVtGEJvaaiHRolEtaAKPoRBtU6elMIEayHOyBn+48hCToLNVXWLZNclp5glQ1hd0ZQlM6qOBid3OFVqmFlMsgN1zI4QnkK5dRCm0uuTU8nhGmIhFk3c3A2iN8hKv8ff7POF15jFIrw4h7D3fG3sUblF/gTY57OHTFy6/c9yjtziPU9l9Pde8ORowCw84Wc1YYI73IjpFdSKrM5twCIatOLawTjY7gsqsUKw1SOYP1VJnNjEFW9ZAu1lCSCTxLczRuuY3GXff8W4vBT0S+0Q/LT9IcyIr0A4UFXyoi+gMgrqwQ+Iv/g3d1kWcP34au91Io1JhKJAirPmyZBGagi6HhKGcvJNnXL7JtGHToAVLmJragxC4lQ+TP/glZFKj+/h891w0aMBtNlubSjO6MEHVG/l/23jtOkrrO/39WdXV1znl6cuqdtHlnA2nJWUVAgooJ7zzx9PTnnXdf75DTE3PAgGdC5E5RUFSMSBTJG2fDxJ2cezrnWPX7Y2Bh2SW4gIA3z8ejH7td9emqT3+quub1eX/eAZdGxGJtfiW/DgD1Pgv+J5MpzkWyTIczLMRyLMRy5GfC1Pz+52Tau9jZ1cL2QBP3LsaoD2TIVgQKnjJNWgeuSpVwucwW33Z8P78VeWKCyj98kLirljqXiapVx8JEHH+bm861zfSP9jOenqCSDpNwCPittWwMtDM/skjVYMNus1IMl1nM51A1FfRBhU6rDzkbw6bVoLWFcOtracgnmNZqEAs6JNnNSEcPE22t3PqWt5IruRjT7qXS1Ez51POZ0DbwaP9mdu/dhEMW6enS4sJH7dIE2vEZasan+N+LtuOZLiA095BOLVGWbejDSxSq0wR83cyk53FOzRAsldllU5jafYCZSg5TeDeRTj9T8Ulc6hJzsyaybSX0eYjEJTa3KCSmDTQYp1D0BuR0ggZzlE0/up17OJ0bC+9n01mDrLlwlKo/wZrxMeadLVjdQby2EnbTbg6ZViFWhpmb70TjWiBoqsPhS7Mku9jcGqI9UEde1GG9+7e0HupDLBZ54pJrqPT00FSTY1408f8evopkKcUNvdeztflstJKGGreJepeJn+2aYk2NgwabgXVrAphNMulKFWNpGr21BRDI58sYjMs+VQ69jr22eta3BJGeMcPzGt08uKeP7vZGtFoJndtLcnaMB7N7aFoqIzZ1Yhct6D/7H1zwxjQVnY4bz/weXmsz+nIMrd6FJDvIJQZx+5qY2D/JrtwSp5RUDK1WRJ0BvaUBQTi25QqWxV9noxNJ89cJZH4xD1NBEJhN5XFptci65Qd2ZDGDx2853EYpaZnMTFJn82GyOlgaDGNp0TARsyKpVUKKnaXCQSY6m+m972FWDQ3T96bzyAXryU3kqbNOQ7mTceEQjVorBYOecGMnaZ2LRJMfzBKCXmYKJ8moHYPfgIso46VaopUZ1jw2ziWf/Qan7K+ymjMwNa5iTo0xqQ6xk8cYV57ASRZHIkjV1MiSu4ni1CzG/t1UbA7SOjdqjZkDVg0LyYf4U+4mflj5DSPVQSRBwxbrmXzYdg0Xh96NO2fG4asn1h9m9WM/p3Z+kgfP247j3DdTW+9ErfcQmIoTlCNMWJqIRkrE0gVKk+PMFGR0doGCYmcpmaeqgMUoE/SYCHrM+F1G/HVetFs2w66dFP+/j6HUPndqmpeLvyVhcbz8LY3B8fpbrYir40CprSO5+wkCO3dSrWmm97Lz0ZlKOGwaqgOTRHzNDI3GKAoiQxM56r0FfE6BwWgEr0XBYrZRmowRuukHlE88meKllwNQLlcZHVwi1OM/7P9kfAFfq5cTQRDQyxJum4GAy3T45ZJVDDd9l2p7B/0da1nMVJgppCFiwB/QEmw+jy0t3fwuPMzW5jOo99gxfuWzCGWF4n99Dmd2kbGclmI1h7dd4dHRYRaIY/f7aHmsn7YTL8CuKWI116OXNOwvCrTmYyQtAnaTD0M+y/r1Hoo5G2PlKu1jA4hrWhCqBkxilaQyjVkwks0YKdcaaAiHqd3WTcPSAGZXK7uyDzMkznKFbhW1/jze1YcY2ddOf189SxGRlg1h4gmJhvQYrkNTJFZ3MBAIoKaztAZDJIVF5pbMqAUz2spBFqbGsRdlfFtOpLm5kbGUzMl6DVVnO4vjf2atUmV3oguHRsHoyJMe1iCIThyCjnwljaIJUlfJM2SzofnqDJvjD/I17YdwvKXEtlMOUjbrqQtPU5V9SLY8UjlNVptFH9AzE5nBW7GxRJQOWxDB2UrEsYoTrTM4nc0IggapqwPplh+iTcQomG2kb/gGs+EYpqCZz+3+d/ZF9vKOtrdxluVqXF7z4XtNK2nY1OLB7zSSiC1HyYymczSaDSjFCLLBi8EkMzeVOMJ61eC04rWbjniQFPJltGU9k+oYQXMAQRSpSWi4ee5nTNpULhzT06rzck3px+wKwn9s/SR11hY6PZ1USnFEUYeokZFkG4XMGF5JZnFfnFC9BX1DEFWtIBte+LfxUmqD/aW82IepIomE59J43SbK5Sq5TBGb4+n6hW6bgceGp+kK1iAbjRzY10+wfT3J2AwxaYJMtUitfg1Gm41YWk/H/kcw5yoke1pZKBkIV7WUsmVsFQ8L4hSy4ENv0JB2WmnO6cmUDWjjg9jCKo2ddZT040hiF7HFGN7EAu/55peRSiUs8QirB/q46J6DXDzqo87YTMZrpZ9pdquD3C/tRK9bIpg1Y9HqOaR14vYkGfTVck/qYR6Y+wZ7M/cSLS4Q1DRwifYS3my8lJMcZ2DI+xAqEorspDIaIVqBi371TQpGC7suPRNbTxNFpcQ672qkOheFvn00Wu2k/C4W43naikvovTp6N3UT9LnxOY04LDqMegmN+CwxbbVSfutVfxVhBX9bwuJ4WRmDFXF13ES6m3Dc/gvq9u2kdNmV9JfmaVWcmCSB+lADNW4TclVFNumZmo5Q0QQxiRVq6hsxV5fI3zlM82N3U7zsSspbT6BSrjI6EKa92/+a8Q85jCBg/MYNUOtHuegMBLNKUVVRrBY6G9ZQb3UxHB8hkddzUl0jpcwstuu/QK6pgd0XbWdu/hD4taRKBYphPQbZjblso0cWMQaDFA4dQt/YRrkQRpLtNDgt7O8bxdIq0e6rI1M1k8yWcDqS2CMTWMwSeZzEMnEygRnsOhf1FT14qhTnDBjzCeatBgRHG6XxacqSj+HqTgwKtDi2I1YjdG0aZvxQE0MHath90EHNJhF3LkJL3w6KZiuTPesoLcWJmKtojE20OUZYmFKITqnUalPMBEUaa7o5mFJonN7PogpFU55FOUVOE2JpRMWlHyNbsGCWG/HqcmSLJYqpHIJ+mvmywE+/dSbvGvs6zYzz26uuwrslwyprmPrMALIqI/UImIsKcqqA2WVmcFGiWZNmsmLCUskhWjexemMHdqMJk1iimg8jyVYQRVJzU9j27GHs7EvYX7+G9V0C3xq5nTtGfsgW7ya+tPU6knonpUgem+PISFFVVZfFlcvEQr6ES0ii0ZrRSMsCIJ8toZU1aLWaJ28P4agHydhwhJaQF4NWz2RqBrfBhc1bx869d/GYeYErDxnZOXEvn+2OsU7fw9WbPsgqZytajRZJdpBPDiEbfAiiFqVaQGO1UJNYQAzKGAOrqZYTf3FZkleaF/swtcoSB59cGpyZiBOstyM+w7omCAIz0Swz5RwVtOgzSQyykbUNLfRNlgj5zTQ06rA6a2g7sQb1znuo27+b6RM2EzHVUgxnMdaI6I1GSvoABmeEaMZKoFBg1mUlVyrjKycQFBWbuoBg6mUwMognv8CHPnc9+myOH1/2Hn73rr8jG9BSLaq0jB3ihP1zvOf+COctNlII1DJijNJXGuQB9V5G5AgNlUV+Y5vhZwvfZCz7BCWlQLehlzfUXsP5xbV4W7fiUSzo8zImXZn4QgSrOYOqJKnd8RA9+x7l0Ombkc+8mIcSE5wcPBG9FoqZCew9p5Lt2423VMBokpg9OMHGM9swWBpeyUt6XKwIi5UxgBVxddwUDWUO5k20PHQvwtQkc2dvxzw2j3n1GmA5hHNxLkV3p5dDh1Ksb47S1LSa8XgYbUHB/5t7cA3tJfeRf6FUU8tIf5hQjw/x2bOu1wI6PcavfIGqxUz18jexWDUhawyYhUksli6qyhJ/mhmh1aIQL2eJDD9Gy//8ivLmbbiufB8BdwOehQSqqY4FFc7qCmKsKOx/6AAlRw2iy4s6MozoFNDq3egliaFojnIqitkrcWZPJ6EmLyNVI54n9pKq6aYUGETRL+GL1uP1tlHMpEnkHWyqHWQ650If0zKvEdASxVsJ0ac+xKA6zpVKiALtxJ1LvKN3muGIk/H+Gg7udmFdU+DsXT+nJBvoq2/DosoYK0XyRIno6gmyhGdhmnFHN9FckbnEArHBGYyWPKNLIlVLlqSmjvmkBk1GT9qZIZipkAmX6WwukpmIUakkic018LUbL6G0KHIj1zAbaGbindsI2mfwJcPk00bmxWaKaQNipYitx81BpUKjMMdS2koipcXpWUMgWIdOECmmS/SFy4ilIrNzE0yNTTHbtJ2yRkH+5CeYnplhyhLnk49+CLfBz0/O+AYWrY6Yxo6cq2IwapGe4WOXThaQJA2yUSJRqmCpLqA3P/1HzGLTMzUWP2y9giMfJEsLaSxWHQaTjEEykCplKFaLWAw2dLEsd8bvJZxf5HuNESQ03HTRL9BoJILm5aANQRAQRC2VYhRJtiLJVoq5KapLSXSrmlEqGXSmWgTxtRVD82IfpoIgMBnNErQbSURzR9QvzJQrDCWz2CwmZmenObG5AW8wwP4/P0H3ulUUMiLJihmXzYtVzrFEhVmbSvu9j2MOJ8icv5kmTYa5mJZUqkxVKxLNmqkV95PNBcgL4Ddn0Vo8WDKDJCNuFsNZLFYt7/rcx7GHI9z7zqtJn1KH3qvlUVs7I6ecyXj3yYStAfSaMu3Dh7j48UU+/FAZl+hjyicyJIzxuGaQydwwJsHMevkS3tzxIbp9p+Ob0hKzFilqdHRVC5RMEulEGYdQojyXJ11QWbvz9/jmZth7yTmMrw1y0aozWYiUWZrbgz+4DlGjQbLbKaYyzPcNYfa6cTda0epf/SjQZ7MiLFbGAFYytB83Fr2RA+ddTnL9Jgy//TW2nz/IbLCZVOnpLCq1jQ7mppIIkomqaiedGEUraugf1tE4O4Cq0VBcvZaRg2Hau1+jwgpAFFFcbjSxGLIkY9M6KSopIpoAqcIwuxb7qTEE2FZ/EiGDhXUFNwBCcysAGoMBpVSip8FGo0GPxSTjTE1y2mUno5plSjqZpCnA1O4UEwO7mZtOEGypx5kQGYwnyJXz7FxIIPcfJGnVkKyZ5YTQWZzRfQqWxjrIxdHrC6xzDaHRNWBziwjlJbJpE1rvSWh1S5xoehMFpcjPDY9SK4RxZ63ssghcftGDnHLuAdIxE1+/6VIWjQH8k5PE/AYMeQ2l2TzajIXM4hDRTI5DTeuwxSepi5UZGBrAFM2yL+0jWSqwP14hqGlFicjkTFOIeSvVgh+/cYn0vmnS+RKPD6ziK9+5mEJOz8dPvB6JKgPr1xKb01PsLzMe1pMINKMza5CnYvjqROYrSQLRGTKSwJzNgN0sEzC5sCgqLqNMZ5OTkzobMekXcRVlnMkC3YZZvNd/kh2Do/iabXzkgfciIPKtbdcS9PYi6ez4pCIav5GpsdgRlzsazuLympjIFGgwySAceV8KgoCoEY4ZRaMoCsl4/ojEe822BuazYfKVPOec+A6aMjJ/aKqQ1MMHzVdRVEt0OtuPOI5W56RaSqEqy78no30VYpcZg7UFpVpE1Bx/tfrXAnV+C/1D4cOlNZKlMvtiacL5Et0OM10uK6oiUFEqSJKEgEKlUuXU7ho2eKw8NBzh0JyMmqjBctbVDHeHqN3zGB3jO5DMTtr9GpwuEXO8QLCQZi7dTLU2wipVgzaWIWOROVRzCgY1jCrA5V/4V9wzCwxd9Eb2rjuNccdmpgcsiDoLVaWRikYl2tvOt//+M/zL9Tfwq6s+wHTzRj50X4SDn0nx55vg7w86uDZ+Hu9Wv0O39V14sCCOyyimCRqcFtz5RfoWYSJsIyz4iLatRrBpkS0u2g70UfJ7SXd4CQpFTBoNjY4YjY1d7BqOMLWYpmp1MDSbon1dOxqPjGx4/goUK6zwt8JrVBm8MkyV7HQ7rVRv+CaKJLHma1+kzWYgWarQH8/QH88wVigyli1QE3IxMJRjQWrGms9hkkW0+/ZQ6exmaDxLe5cPzV/J6fZ4Ud0eNNE4GsmEWJrHo7dyfvsaBFQcxo1ssOsBgWo5jTwbBqDa2HT486buHnL9B9m4yktpcRHJZkPU6Vjd4kZBoOy009QawCllsTskyukSasGAspDl1j/3MTQ5hXtxBLY286aeMyktaGhwN5Oo5rGEGqhzSXjlTsSKgTM7RUSTRHt2BDU/Q8HWxLpkNybBxZ3xB5iwVLBpDAhqkYTZzvrLx7nsg7uQpAr35rajz2bpWsyTqjGSNHuxzMfwxi0smQxEq4tMGWsYsppR5RYGfWXcpWkCYhTtQJk9/QuI+TzOSIzuxSipdJ62ligjqpub7j6f39x5Psb2+3nbx7/NBbk/AbCnewNWeTeKqFCq97JY1VIVFqmtX2R2T5qFSAbBYyQseNBGKnQEmihqtSgWHf2HIjx6dx9Ld/+CuX1QEBRC55+DoWcVY3MH0GnM/Nv+fyJRjPCv6z/MtqYLEAQB2ViDuRomXqrg9lkIz6eeebURBIFiVYH8FPpjFK+tbXQwPRE7avvkoRgNLUdH8K3xdNG3dBCN0cSlieVw+LNmDJxz3oeotwSP6RtlsLWTTw4DIIgS9sD25R1/RT+qV4omu4nRWBbZY2R/LE2iWKHHYabZajw8FpuamnloZDldQWhtF088uhetJOLxmTm73UfQIKM6dBwMi+x5/9UogkjLDbeQdy4i6scxAia7karVTkdTHbqUl1hhmCZHksKEiGpzMOCp562/+jy1I6MMrd/MF069gHklgDCaIOHSI+WBdBxJEDA7G9CRY2tHO/tOOpmffvy/+NjnvsyP3/YvrHL1cOMdSf7zht/xia/8A+8d+Bl1pRQtHQm8OgdWQwunrFtN3VaFoDnB9o112NJVLGt60e1/GH0+x+CGVdC4jqaa7eSTIxSzs+gk6O3wUSxVuO2+Q3SdsZX41DzOoAVJ53j1LuAKK/wVeW2rg5cZba5Ka9DGeI2Z8JsuQloKY/v89dSZ9XQ6zIdfm1o9lLJlxnNGCtE+9g+KnG5OIpRKhFtW09blRSO99odOcXsQ0xkq6TBOSSFgqufe8ccwys049FrsWiikx9BbmhAnxgGoNj0d5SjqdKBUUUolCuOjGFpaD+9rrbVhMmgZLJvRlBxUYgfY2OZFXdNBa6HE2q4GNmoyTNk0nN15CmadCaNJJpuuoDWq6OIDtKw7jVKmRHjJhtXZxXlntVIbEvDE4myr9SLVSlxcPY2KWuQ32T+ii0aRU2kqVCnPKUhtE1z9wUcYsnQDMPx1M+PRMm4xRZkC/sUcpqIXZzVPRj9LUnEh+h2krX4m3Db6HHa6TBoaJvuxzAyg2n1Ma53gz3L/7lq+9YOLGTvQiuMN/0H2ijO4RXMN55+0k0svN/CIvo+CXgY0xOUgLUlYnV1Cr7URaTPRaxUoqB5cegshNcPmkzfS4ZFpy07TrQzR7osRc24iIzcxQ4U9w4v0z8nkxFZ+FvseuxYf5/T683lv6C1HlE8SJQMmsYJokUklClSryuHaiFVVRQRUpXTMGmta7XL+l2fWUsxlisu+WPLRy3WiIB4WWG89+f/xxbs1fLT2WnJCCp/Je8x7ThAlNLKVcvFpEVfKzqAzvvgcbq9VREGgs8dPQVHocVposBiOEph1bjtLiQIANY21FCMRAOZzRTp8VqplhchEkt5OH+rmU5l/8wVYpyY57ZFhAlo72oCZXH6OnBqjkC+jTxbIF/PcHTMgW/SEB6Kccdcvqdu7i/nOVfS96V20aGqxu5Nk9QGMBgV/QaIuNgkGA/2eRrI2O2XVzuntZrLqbk521zPUcwo3/fN/8sDPv8Xec87BlE+x6Rs38ua/+xChr9xGr7sZa61IweyjHLHgN4fJOcKs31zP6FicDYN/BmBkdRsWpxen3oIgaLAHTqZayRGe20s6Nc9bz2pndDbFPnsb9ueoE7nCCn+LHJdCCIVC2lAo9KNQKPRQKBT6UygUOirvQCgUuiwUCj0RCoUeC4VCn37pXX3pVCoKBp1EdHqU0j9+lEpzC4bv/jfS3t1HtDPqtXg0Ej67GcIOZJsZ/c4nlveddcoRvi6vZRT38lKfJpbArNWQqSq0ubehEbXYhRySzomqlNBIRjQTY8CRlisAY3cP0Tt/iWn12qOOH3SbaPBZ2C94Kc9HEXIxfB4zZtXJgfkdCLEFmq0diE8uUQXq7DwxscBme5bhnAtBEAm4tIiSyOysAVnUYG3biifgIrp0FcFyAAAgAElEQVTjEBrFRafjXNyigz2l35Kuj9CTUtCbZ/CWcrgLWnLtGbxXLVtdmiKD3Pblqxgd8zCs9RFvMOBbSiDGHdjzOoriDL0zi/TIAkpcxheeYiIPEyYLseYQNdUoU8k8gztr+NzX3sHigp3tF/yS7IYvYBCMrFE7iOtVfrYqz53CT7k+cT0fFz7NbRPX8hvluzxsGmeiVmWz1kTB2oW3qQ7xYJjemlpm7/kztmoSoV6Hee1qxEAvjfVOzjonhM/SQik2S2edg4Ppe7l1+vsEzC18ddOHMNiOXHrTmRvxqQtMZfI0trmYGImSThaw2AxMpvME9VU00tHlTp7CX2tjYSZ5+P3MZIJgg/052xskAwGTl8LWLtyX3U76nBPocXc9322HzlRLKTv7tOir5F50zrfXOqscZmpNz7+86baamY4viyqdwcD8UhyNKDC1mEYridjNMl6dzCnBVv703ndQNJmwf/3bBMxwtsfAqmAdalJPdmkUj71Ad52ZzkAjcWGGi/ffzsl3/ZzFgI9bPvAfHGrsoUdNYpQ1uExJTGYHGYMFfyFKm8uOLKS4KqhDF0+xJxllW+hE9lvCBFtFlKSbRaGH37z7Wu743u08fOGbkVHY+oc7WXXl5fg/9QUO3nUvpmyZGVHD0CND3L5/J35bnLa+PlIBD9qNJ2DSGsknBjA6OgBIFB3MZWvpafFRTA4S8mc5c7X2L87lt8IKr2eO17v0SiAxNDT01lAodBbwGeCyp3aGQiEj8DmgB8gAj4VCoR8NDQ31v9QOvxS6W9yEoxFMC3EMp51C5gtfxX7xhZg/8kESf3wApKeHo77FSTxfZGB/nLMuaqX4lQexAMrWba9a//9SlCeTnErxDNWAF0EpEbQ4WIhm8IkpKkXQW1oA0IyPo+p0KIGaI44hamXcF12MoDm2oHRYdKxrc7Ozfw1t++5D7DiXUkMbZ++7j6glQNvJ6w+3nUzG8JsTaIRO9OoY0XwJW3Mz/ugQpZKduQU/Bkkk3d6GR2/CE89zlyHLRfkz+W7pNu7IPsI18km4q4sItU3IqQy2tJaxDToqksS55nv4p7TM9394MdtO7cN+/hN0ylWUFi+J4Qptc2PM1Eo0PTTBXL2XBc96yoU4pYIBm6FEQulmaLeL+x7YgCRVuPSsO5nc9nFKpRLvMr+D9/1yko0PD/CtK65kxDPLY444M5oIE5UBxvP9/DoPRH6EV+OgbrKdteUaiiKkvBtYjETQxlOoGSvJTJ5CpYjWAMXhIqVqkaX0ItVJDX3xncgaA987+XO4HKuOsowsO46LSFUVVRQwWWTGhyOs3lTLYiKLpMwh2547o7XJrDssrmYm4/hqrC+Y+sBv8jEYG8GxqR6PU4usOXbB8GeitzRTSI8evr/+L3FKqJ07du6mrtfNhu29/OH3f6Jh7Ub0ei2rW9xUqgo7BsJs7fbjqfWT/MjH8H7qWmy33M0fT9Ox/qTTIfMoRYubki7Kho42MtVapr7zc075yffI2F3c94n/QL8Qga51qBor52aT7G3IEB8R0UklDEYtC7MR6nwqzu4zkUwH2WreRkYXZ4Ohk90Tg5ScIcJVHTZDiorRyq5/fjttX/gS0hc+g+UXP6f3jrtY95v72Xn6aew651S6KWM0CsTu/j1Socj0+h7k1lZqNSqyfjl/2XQ4QypXYm3b8sROq3dRLWcoZqeRzK9/6+UKK7xYjldcnQ7c8uT/7wFueubOoaGhXCgU6hkaGkoDhEKhKPCqx2CbDVoe2/UAHRtOAaB80ikULrsS/U9/jOE73yL//n883FajEXGZ9fh6a4iMxmkf6qNaE0QJvn4eEIp7WVzpsxoKqoKlGsah9xERRVAqIEiImuXEkpqJcar1DXAMB/3nElZPoZcltq0OsntvK2L/Liwt61BPPofyrj4MxuVZfjQTJ5VepLt5LYcGwmysMfLg8CwbAx6KySQzlSS1T/r9FIoGcFrIpsp0JVWWat+Jd/Re9uX/SNh2Oq4lHTM1+2gweEmjZz7jZbEhQNP4CJ+8+nt8/rYrefi+dczOB9Be/lvkskjJb8A5XKY8kKV/fR35Ug5lMYWUEJHq8zTOLXHDj7cxNFGP3ZHignf/Hovrfm4v9dOqq8fuv5SuPRdT1BsxBNbR5mtlY2MLGaB0MMqYeY598iiLTDCRGmJX+XF2PTVAj//iRV8zvWTkH9deT5ejAUk+tkXJYGkhmBzlUCpIR9BGqVhBBVBVEF44T5TNYSS6lEEpq3hqLM/b9ilWOdsYUIdptTe9cGNYtlTlFArpsRdVBupvCVEUEQQoV6ro9HoCJgueuUPYTDKZxeU2jfky/XeNYHFXGd/Uhcnrw33rTwm1upGHPfQ2eTC0tzM98yB39kep3/0gF33rRhSjgbs+/3eMCuuRnTGM99zL4MnbSVRUWvfHGC3bOT0/Taq+hZLdzjqHiYHUOA63i8cPjNPU0YTRWMPaJj+7xh+hUrLR5rQxrRY5MdhBbmoewyf+i8mPfJy5T93A+nt+zNbf/4HNd9/DxEkbmL/mH+jZNwXATO86tBQQRQeSbGN0LomiqHQ1Hum/p9GaMdo7/tqXYYUVXlWEZ/pfvFhCodAfgX8eGhrqe/L9NNAyNDR0VAxjKBTqAX4KrBkaGio/1zErlar6Si+3lbNZdj7wa7aef/nTGyMRWLUK8nk4eBAaGw/vUhWVx/88xjpPGV1XB7zlLfDTn76ifXxZ+f734eqr4eabSZy7AUVV+f2SjUtDAZYm7iHQciaiKEEsBi4XXHAB/PrXL+mUj97/a5JlN5mMiL6Uw9vTQaWcYDwTo82xvHpcKlRIR7NMlhY5a+NadCMH2JOxc86ZocNLro/PxRAXJyjFy/TtfYzfFYf4belbbDFeyBWFtyDZdxDVbkBWJKpagdNvvoXNj/yBP177fvZEmvnBvZcyNFSPzZfnbW/4Le2tU8Q7T0YXnSd7aJqMP0V5vgZDIMDSnMAvv72RZNTOqq5xzrtqHyXLLD9NfIpIaZFraj/LuieyvPs7n2TvxlMYe+dpzPh8uO31TA/kMFUz6DZJNMt1OCeS5I0iFU+SP+29B29bE6riwO0KUikISGhpqPOik3ToNLrD/5YUDf2jfcS1TZxsixGs24ggPPeqfXxxH6PVWjYEHAiCwKF4BmN5CbfViay3PefnnuLP9wyz9ZQWJO0r95tTVYXFiQfxN21/xc7xWmUuEWXn0Axv2LzmOdv0j0cx6iXuG9nBhRMRPO+4gsS2dfRd/xmau7Yg7PsTlXya8ZEo2679d7S5PLPf/hJ3tgbY2rSGVtnOj77xvxRNTWTaAuQlBY9ooHliJ4vBTqwhPZpwnLLNgM1ipF2uw2rQ4fUtC+rB6Ul+seNRvG4/3c12eoNrOHj3wyR9zQilCk01NuKZHOrt36bxppswjU+jiuJyCaUaH/fd9jXWBWsI1m1l/6EIBr1Ea+1zLzGvsMLfIM85k31By1UoFLoauPpZmze/mBOEQqE24MfAlc8nrADi8dwLdeUlM737bgJrTmFpKf2MrTp0130a6z++j+J7/57Uj24/IrKppdNL8bZb0QGZNRvIH/HZ1zay3oINyIxNk0p1oygVzm0JsTB5EEWxE43mAZD27MMB5GrqyL7E79fYtoYH+oYw7R9i0/veTqUYY3cky+lt3UfUihsvlKioMBJNstpfh3bHEPv3mKhtdFLIlynPJFgsmYjNjDFRsHCJpZMdySA7cr/jjZyOtlpHQImRMOmoCBIT65rZ/AhIY7OE1zfx/sZv8j+/v4Kd96/l2ze/kTdc9RAN5oMYo2nMugrJ+UaM2jy7+tw8eHMPlbLEpnN3cMKbJykKIvtT97BUWuAM6xls1W2kd/C/AIi1NPKQxUm75CSS1qCNxSk2zhKKtdPqMDDjgLK3iWaPhaDgxVy/nslDCcwaPRWdQqD2GcJHhWS2wmgmj0lSWVeznrmZP6ERNxGJZJ93nKuKD1Nmip3jFRotBmbiGZqEJZKCG9IvfA1XrQkgaTXP+i28/GjMG17xc7wUPB7LK9I/LTKzkdjzHruYL3H3YxM0d+hQzz6XwrbN2B95nPoHf02icT1xm4X52QRv/Oxn0KXTHHzfW7nH6kEeNBBO7qXscHHepeey454/spiqwViFM2uS7C1KhBrtpJQlYuY0HYciNJx6HoIgMDoYPpylw6V30tG4gbN6mrjjkUeIDPbjKEKz18jESBRJFvE4zQye8272nLSJVY89TPuNP8Q6NcdI7xpMYhmtroN7H5vAZdNjs+le09f6+Xil7oPXEytj8JePgcfz3Jb/FxRXQ0ND3wO+98xtoVDoZsAP9IVCIS0gPNtqFQqFaoFfAm8fGhra+6J7+wri7N2EqXK0s2/xLVdQuu0n6O75I7o7f0HxjW8+Yr92x7Ize3nTszXla5unlgXFyBI6Ux2ZaB9WqUIkM4695rTD7TTjx3ZmPx4knQNnwErX295MtRhlIJ6ky998VBHe+hYXxYMFRudmWdW9CqmYpZCvMD68hE6vpaXJSWIhiWqpweVTmJUjvFN7AZ9f/Da/1d7J5fl/oijcS21pNSWHi3nHsp9R/cEpWtcpaMa1fGb9f/Nl45u59+7t3PH9UzlxZJjt5/czrc3jjCvc9adT2fFQIzpjkUsuuZdTT+5jPOMm5kzycPo3GEULlwXfhhoO4x4bpaSV2bVuC21mUMNOovn9eLwlas1B1m65AKVaoi4zycRknjFZpKtx+X5JxvPojfIRwipaKDGXK2LVSvQ4ni5nE6w96UXlg9JIRowUmS9XUFUVVakgaF/YF2qFvx5Bj5Hh2QjtQfcR2xVFZffwEm67nstOa+We/UPMWBdo+K8vozvjJFzf/iWFk9ZiLms551OfRb+4wMhV72D0zLPJLQ5yTt0JTKhehpU8RptMnctCc12aiLaR/gfuYs7WxPTMACUKbHL1EvNUmL97B4amZrLpIuHdsxgsOhDAoGjYcWAes0GisxTFtLGHQ8MRmkNPJ/pc1eAgP9rGwRMFZja04O6bZ8Yt0mptZvdwlHqfBY/d8Oyvv8IK/6c5Xp+rPwKXAncBFwL3H6PN94F/GBoa2n2Mfa8KjY66Y6tSQSD9ha/g3L4V08c/Rmn7aai2p83b2iceQzUaqXT1/BV7+9J5prgSJQMarZnkUj+CKB+x5KR5Mg2D8jKIKwC/PchCapCq1oXHXodFe/RtptGIWGxmTLOLjKZyiBqR+hYn8pMpAcbnUxhLKhmzBqu2jkQkxXpjB81CDY+U7ues/OkIbQ3UTY6iS0YoGT1kzVZ84xPYhQrj3gZUZE49uZ+ajiR3/vB0HnqwnclxJ+eet5ub/tDL3KSdGs8SV7zzVtJBL2mTk3LVyyOzX6SqlrnEeTmlyTK1dgf2mSn2dW3CWBOFWT8FywHMSzYKgTibT7gYgEJmHIOlhbZOgT/vnqHLZWV0MIzB9LSwWswXCedLOHRaepxHz3r+kkSbsjGANZNgfwy8ahi9+f+e8/hrmU0N7fxq174jxFU4kWd0Jsn6dg86eXlJtre5mT9P7KKuZxvZyy7GeuvtRH9wL7adA9hGBkm/4U3w0XcTnofOli7uy86ypgw18SJ9ww/ga2iF4d00ba/j8XKFtp4iw0KUf+i+8vB586YSor6Erq2O0cEwLW1P92lJXaCh0oIS6ycSyePymo/K4beuJUCkf4mUsQrKIDR3MTdvp7PRhm0lxcIKKxzF8SZr+imgCYVCDwHXAP8GEAqF/jUUCm0NhULtwEnAJ0Oh0ANPvt7w8nT5lUFpbiH3kX9BE17E9KnrDm8XUkk0g/2U122A15llQHEtP0DFyBKwnIOoVEgeFRKtOUaOq5dCwGxlTmykLPuoMT73g7em3o6S11HOJXB1hZjacxCAA2NRyKRIjxygPjnPejGOLutiTC/wL9v+HUVQuUd7O5ZCDwf8TtQ1TWhb1zDf3I0lEUcvVCnWK4wautDZLASayrzx/X+kY80w09NuvvPts5ibtNPTO85H//VW9BY7NkOGxYKfpfKdHCoN0Kpp5JJiE6qYxXTHjwHIrKknXFIRg04MpToqbTq2OlsYG4ySSuRBVRBECUnS4KmxsnvHNMl4nvYuH7PZAvtjaVQVepyWFwznfzFIOgceMU2sWMYqVRHE10eKkP8rSKKEXqeSzJZQVZW9hyIk0kW2dvsPCytYjrjVajXMRTLkP/4ZqmYjTbf8hJr+Popnnk3k0x/iYNhLMCCyraaJNzT3MmtJsdTRSbD3VOYmDzA1m2LPjd9hyi2xqzJGr389FeXpyhOG5hZKM9MopRJWu2H5fn2SbDmHnMqjWuykEvkjSiQ9kzM7V5POwHzvGpbSXta0uleE1QorPAfHZbkaGhqqAu86xvbPPuOt8dn7X+vk3v9BdHfcjuGWmyhcejmVzVuQdu1EUNXX3ZIgACYTqtGEsLQsrmSDD6GSRac/stK8ODGOKopU616egqqCIOA3m2myPP9SgSAI9HQ3sn9oELl7FcrkLnaFo/gcRpb0Bqo1LZzSU0tfNE2DnGYsBjXGeTptnfw52cc5i0+gbmxmRiOxKrKbZLAO9oFrIY9iMWAoZdGMZ1CsVmSDkYvedoBQywL33b+R7W84yMaTh0kWXMiySCCRY0wT5s7MT9GoIu/LnETaUmK2EuHC/idQBIHfbWumtf1cOqcX+L1GoUmzRMu609AYTUwdmqBYkGmxqoiiQEfQzoBeQyac5UA8Q41Rd0xL1UtF0jnYLEbRyEdnWF/h1WdtUw0PHBjDbbSxptWN2XDsCdrWplU8PHgIV0cP8b+/EveXvkdpdTfhL32CkZiJhnodJWHZmi5rZE6oWc8j8zswaPT4tm1lrG6UzDy0+vJYalbTaKtnIDZMVVWQBA2t9ibM6zeQ3vkEni3bGB0MY31yKU9VVQoT48zramnrdB+zf0/xptXbuGn3r3hrz0aM+tfXZHOFFf6avPbTjP81kWXSX/waAJaPfhBKJbRPPAZAZVPvq9mz40Zxew5briSdg2o5fzj9wlNoJsaXU0zI8rEOcVy8kLB6Co/PQiEjIKplsj2bCG7fRqSjk4rZz+ZVyyH8DWY9dU12KlkbQ2n4yJp3oaLyG+XHrM/6Kc4NM6Y1kVq3nNzSdGACIelAa1GpBkpkolnarBEyLpnOS5O8/2t/ZMuWg/hSEZqTc1ijMxjmFumL/ZAEKTZJvUit55Dxn06vv5namQnm2hoxe9fTEClwUGNCNC7RIbjQGJdn+W53noa2Bg4NhIlHsmgEAUFRcZqWRZVL//KN7TORjQHKhTCywfeKHH+Fl0bQEsDpK7Ct2/+cwgrArrMR8GvYORSm/KFPMv3Za4j87y3M5iX8Xi/h0hxN1noAKkqF/tgQdtlKWS2z2tXIJevPJiDO4G/soM3egklrpMfdyVpPN+2OVsZTU/TFB5lwqCzt343ZqiedLBAvJHAZHSwlqvhqrC9YK1XWyLxnw0VY9Cs+Vius8HysiKtnUendTP4d70EaGsT4zRuedmbf+DoVVx73srh6MuVGTctZRzbI5dAszL8szuzHS2N7A4WxSUp2LRlFoUHWYTHIyE+mCbDrtGQqVZpqrCSXbKwNnsYaZxePyAcZHLyPNdo1lBciLDisqIKAe+QA3YEcSaPE1FIdm/zjJKIaugthtKkMZiFKNVqkHE8zFwexquMRl5EH5Iewqi7O8r8Vj2EYvVHFuWccUVHpP6mLRtMqdEsLjCsx/JIDf30IYNmZXNAg6yTau3yUy1VGB8PoYyVa61750HSr74RX/BwrHD8hb5C+yEH6lg4wmZpGUY8ung2gEQU6G+30zxapvPFylippKhofLrsWWdSionIwOsT+yAAdzhBrvN1s8W9kx+JeykqZU8+7mrxawqY70kIqa7R0ONtZ6+mmu30ryXyChdxBnhg6yP5IP7alMhWLE7vzxS02aMXjddVdYYWXjwceuPdFt/2f/7mZAwf2vYK9OZoVcXUMsv/+CapeH8Yvfx7tzseptIdQHa/PZRfF7UEolxFSy1m5n+2Xo5mcAKDa+PL4Wx0PHS1uFiIltrqstNqMDE3FWdVwZIHXVXYTrjorpaSVwdg8H9v0MQB+ZrobRyjEhi3nMFpvIRqoJTAxjJJMYJtOUJuch5JCQ7gfU2yR+oFHCIzFaVPmGLOsp+BrwOrW8qD6HaooXFlzGUZjA8VKPXOTewk+ejcA2tPeQ014gr0uA3YMNFcz6BsaASikx9FZnhan3oCVhlYXeoP0gpaAFf728Ro9rPV0s8bTjVW2sD8ywN6lAwxEhylVnw6ybrY1Eq0uYDJIhFMis+kAoXoHg7ERJFHLnvA+mqx1rPP2HM6SrxE1bPavZ9diH7OZedz6539OiYJIa+9pNC2pdPibaTesYnjvDG2bWp/3cyus8Fpifn6Oe+6560W3f/vb30l39+pXsEdHszIFOQaqzU7m+s9ju/odwOsvBcMzeWbEYNV2tBXlsDP7q2i5EgQBV62fsf4hJE8tzTXWo9poRRGzTmJtew37B4e55KRNbPSs55Glx7htzxc5x3oqJzjqONRax5a5aaoL84jOtZScCWaSPiyBFLFyHlvzGuKzEql6F9qUjEfN8mj+EUbUQ4RYyyrrRnQVgaTWgsVtoGHPXor+AGnFjKTPk1JknLoUDZan/dZUtYIoHrnkI0kags8SiCus4NDbceiXf4eFSpGRxDhlpYyAQKO1nkwpw9qaJgYma9mwys50apbhxCin152MQ39sAaQRNWwObGDn4l56/euP2ebZmNethwP7GC54WOWWXzCr/worvNz87ne/5vHHHyGbzbK0FOYtb7mSQKCG73znRiRJwuPx8m//di2xWIxPfeo/EEWRarXKtdd+ii9/+XMMDBzkBz/4LpdddiXXX/+fpNNpqtUq//RP/0xraxuXX34RW7acgMPhYGZmmu3bT2fz5q18/vOfZm5ullKpxNVXv4/e3i2H29bW+rnkkre9LN9vRVw9B6UL30TxzLPR3X0X5d4tr3Z3jhv1SXElLEWgpe2o/a8FcQVQF3CzMBklOjLLmds7j9mmxWJg2p5FndAxGQ/zyZM+z8W/upAvRm7kfmUXH3d/mErDRuAR3Ifm4W09RCoOLPvjzNoKqEt2/K4kGqOVCcWCSzuBszzKrepv0CJxie+9yBoJly3HfExD28ElpHyBoXN7cWoq7BDyeHQupNgClt6TASgXoki616dVc4VXF72ko8u1vLSsqAoTqSkm0zNUVQWL1czuxQkqapWzGk7FKj9/MIQoiC9aWAGIej06X4CmwUGCp55O8nlTPK/wt8x11+n49a8lRBEU5eUpsH7hhRWuu674gu3Gx8e46aYfkclkeOc7r0CvN3DDDTfi8/n58pc/x913/4F0OsWmTZt55zuvZmhokEgkwhVXvJ077riNd73rvdx88/fYvHkbF174JsbHx7jhhi/y1a/eSKVSYcuWbWzZso1Pf/o6AO6++w/Issw3vvEdIpElPvCBv+cnP7njcNsLLzz7ZUukurJm8VwIAukbvkXm2k9RvOiSV7s3x43iPjIdw7PRjI8Cr764qnGbGE1ZaQmITB86wLHKMgmCQJfPhsWhZ3pCxGcK8tCVOzin6Xx2xR7nkifeyo1tE+S04J7ah7OQwlAYAM0UxoqFhOxnbtqOaI6hzVZxRyJ8VbOLtJLgXOFCauobaasVsTlLtNWvpXPvAwDkt17AoWARk9KIUo2zxmFB1C2HoK84k6/wciAKIs22Rs6s345JayRg8rHRvw5ZI7+gsDpedHV1mNpake0vXC5phRVeCdauXY8kSdjtdszm5fxqPp8fgPXrNzIyMkRv7xb+8Iff8vWvf4VyuUR395H5Jvfv38cvf/lzPvCBv+NLX/os2Wzm8L7Ozq4j2g4NDbBu3QYA3G4Psqwl9aTLzLPbvlRWLFfPg+p2k//Ah17tbrwkFI8XeB5x9VQC0aZXV1wBXLK9BUEQmB5bYH58L97aFiT5yCVCr0HG7XKTXAzTP7PA2R0buOXcW/nuztv4wu5/55eVO+m6RuAzj48TZo68o4eW2gHUaZmUPEFk0YZG8KJZirG/Nc3OhXvxygEuqXkvgqeMLHvwlMJYm+04HnuEstlCatUm9KNF5DoT2YVhPGuWgxtUpQrPU/9vhRX+UoxaA4VKAYtsZjG3hNfw/KkRXir6V3lStcKrz3XXFbnuuuKTpV+ev+zWy42iPHMSLVAuP+2DWC6XEQSR5uZWbr75Vp544jH++7+/wfnnv+GwAAPQaiU+/OF/PqZPlSQ9O0JXOGLi/tQ5jt32pbHyl+FvnGf6XB0LzcQ4ituDan5lZsd/CU/5fdQ1+ykr9SQii+RTh46yYp3e6ideUalkLEwkp5lZyqBEV/P4W3fy5rr3MmOFK85e5JZDtzEb7WfR2EbAr+C1QM5oJ5IWoNnB7bHbUVD4qPVqsgGwymZ8mMgV/cT/cCvGyCJLHWsZVwVcfgsVNY6jrEH2L6eIKGTG0Zsb/9rDtMLfOJIoUaqWmc3MU2upebW7s8IKrxgHD+6jWq2SSCTI5bJotVoWFhYA2Lt3N/8/e/cdH1d1Jv7/c+/0ppmRNCqWJdmypGu5Y2NsTLHpCSwJCckm2XRCCEvIF7K77GazJEsS0gskm77JL6QRFhIgITiYEqpxl6ssX/XepZGm13t/f4wsN9m4yJLtOe/Xixczd67mPnN0JD0+59znzJ9fw4svbqClpYkrr1zHJz95F6paP7H+CmDBgkW89torQGaa8bHHfnfc69XULKC2djsA/f19yLKMy3V2/vaJkasL3AmTq2QSuauT1LKTX6sxXcor82g+kMbmMBHx78XqmofBlFkPkGM14/QYcVmcvFrbg8nRi8uX5JVGP5+8+GP885Y2vpx8gdfL97C/sZGVxW/jc+F34zFZKJ8dpK4zj0b9d3QlGlnuvpx80xx6Q4Mst3wsYEIAACAASURBVF9GwtJNYekCnE8+BUDHistYvqCAzY1DyKO9XF522EJ2LYlsEBWqhalV5Z3H3qE67Kbzrg6zIJySoqJZfOELn6O7u5M77riL4uISvvSl/8JgMFBSMptrrrme5uYmvvOdr2Gz2ZFlmXvvvQ+324OqHuAHP/gut99+J1/96gPcddftaJrGvff+23Gvd80117Nz5w4+85lPkUolue++z5+1zyZNtrZlJgwOBs96INm467c0MED+okpi73gXwV/8+og2kFtbyFu1jNh73kfwx/87w5EeS9d1Gur6mVuVTzrehiQZsbrmALCzo42tzSE+etl8/rqrm1Vz80glUuSam+l/7u+s+dev8I3PXsk38ncSSAbJNxdwm+8zlOZZ6Pcn+X7vN0loCb48/4f48FG6wEeNMx/ZYMFo8ZJz3RrM++rZ/swThMJuPBcp7Hj5Od5x07uRjEZS8VHS6QgW+/k7spCNPw9HO1fb4MWOV7m69ArkaZh2PlfbYDqJNpj+Nli//hlaWpq5++57p+2ab+VU28Dncx33NlsxLXiB03Nz0SUJeXDgmNemek/BqSZJEtULC2lRBzE7KjBavIRH9qClYiwrLUcyxvnb3h5KPDa6B8bwWdtoSsvMvupWJOBf9tp4aO6PeH/1hxhKDPCt7i/wx5a/sVX/O8FUgLfNvpWVBjea10F17jxSCT9Gixepvx/L7n0kV11K+fJ19IX66O7azlxnIZIxM9ibiPZithXPbAMJF6xry9ZOS2IlCMLZIaYFL3RGI3pu7qTTgudKGYYTkSSJqoWFNNb1oywuwu5dTDTQgMFop9AB8VgayZpA8Q2hpqAqtxK72UV6dinytq3UfPnzrM79BssKLucnO77Bq6GXIQSzrCXcUHQ77ngak0XHYrAwkowyGOjE8fTvyQc6V1fTPtKAZ24u2zf3c9s71wKg6xogidpAgiAIp+nGG2+e6RDOKvFPoyxw+P6ChzsfkisAg0GmQvHRWNcPgN2tIBsdlHiGMCTD5FkGadElKj3zyDG7SCbTjFQuxjTmpxIrPb3NrCpZzvcW/pKPln6SAmMxH6i4kxI9whvhQYzWKAf6thGWTHgsHuZu3AWA9e03sTh/ARcvuIz3LZ2DOS8PgHioTSxkFwRBEI5LJFdZQMv3Ifv9kDyyUqChtQWY2a1vTpbZYqS0IpcWNZMkmiy5LCpbS0HhEEGXTKVnLm6Li3gsRXP9ANarLgfAsnsvRjlFqb0UM8O8q/o+nrjoB1xW8n4WyTbMBW6uLV/LHJub8vzFuDUjltdeIVVVjVZRiZaKAuBdcWjRv5aOIxut098IgiAIwnlBJFdZYOKOwZHhI44b2lvRnC70/LNbS2eq2OxmCopzaG/OfA6r0UraaaLCMwe3JYdoJEF70xDK4iJSF68EwLhjG2WFDlq6ohi8DixEGU5VUVqQgz+WxmE1HTG9Z37jVaRIhMT1b8fiLCMW7jgihlQigME082UrBEEQhHOXSK6ywMHkSRo8bGpQ1zG0t2WmBM+jtUMut5Ucj5Xudj8A62ZfhsfiJhSM090+StXCQiRJIrV4KbrJhKl2OyaTjXQqiiHHzdzQMB12IzWWOLV6mMsqFpGK+zGaM1WqzRueAyB+w41IkgGOups2EenGbC+Z3g8tCIIgnFdEcpUFJqvSLg/0I0UiaOf4eqvJePMcmC1G+nsCAARGowz2BqisKTg0CmW1klq0GOPePZgN+ZR6Q2iRHIa1Md67eDaxrm7STjMus4NEtB+TrQh0HfPzf0PLzSW1MlOF3WBykkpkrpMpWyIWsguCIEy197znZiKRyIzG8M1vfpP165+ZkvcSyVUWmKyQ6KH1VudfcgXgK3KhpTWaDwziH44wt9p3zDmp5RcjJZOY6/bjtErocTsjcgxDMkl7OIjP4R0/U0eSJIx7dmHo6yVxzfVgMABgtpeQiPQAEA+1Y3GWTddHFARBEM5TohRDFpgsuZLP8RpXJ6O41EM4GMfhmrxKenLFSmy//Dmm2u1QdS0ep4U+o4+x115hV56JG+ddQioZnFhDZd7wNwDiN7x94j0OH6XS0lEMRlE1WxAE4UykUim+9a2v0tPTTSKR4Pbb7wTgt7/9Fbt378RgMPC1r32HcDjMV77yhYntbr74xa/g8xVMfG0qleL22+9kxYqV3H33HVRUzEPTNDZt2sijj/4Ji8XCzp07eOKJx7j//gf42te+RDAYJJ1Oc++991FZWcWGDev5/e9/jc9XSE6Og6Ki0reI/uSI5CoLHEquhiaOGdrO75Grg46XWEEmuYLMonbDB29mTqEBdb+J0egoRudcDLJMJNCNza0AYH7+OXSTieRV1xzxPkZLLrFQO7JIrARBuMA4HrgfyzNPgyyRq03NRinxm28h/MCDx339hReew2w288Mf/pyhoUHuvvtTAMybV8mnPvVpfvjDh9mw4VlSqRQrV67iYx+7HVU9wNDQELt21ZKXl89//ucXGR0d5Z577uTXv34MgIqKedxyy3v4+te/zI4d21iz5nLeeONV1q27hscf/wOrVq3h5ptvobW1he9//zs89NCP+NnPfsQvf/lbXK4c7rjjI6xcuWZK2kAkV1lAm1jQfqhK+/lS4+pMaHPmouXlYardgdleQizYQpFtFm9WtHFZftXEeZIkIfd0Y9qzi8Taq9BdOUe8j9lWgL9rA56S66f7IwiCIFxwVLWeiy5aAUB+vg+z2cTIyDDLl18MQE3NQnbvruWWW27l85+/j2AwyFVXXcOiRUt47rm/snv3TvbsydQjjMfjJMfLDNXULAJg7dqr2bjxNdasuZwtWzbziU98ii984T8ZHfWzYcP68a+LMTY2ht3uwOvNBWD58qnbZ1ckV1lA902+5ko3mdBmXcB3vkkSyeUXY3lhA/LQMLpZY9GcfDa96mH52lIG+/qRjTYgM2oFR04JHs4z61qxkF0QhAtO+IEHCT/wID6fi5Fp21tQ4vB9jZPJJLJ85M1CkiRRUVHJI4/8ga1bN/PTn/6Qm256B0ajiY985Dauu+5tx7yryZRJaS6++BJ+/OPv09zcRElJCXa7A5PJyGc/ex+LFi2ZON/v9yPLh645lXstiwXtWUB3utAtliOTq7ZW0uVzJhZuX6hS4/8SMtVuB8BiNvCPK1djkCXi4S4sjsz8uvn5zHqrxPWTJ1eSfGG3kyAIwnSpqVlA7fjv5P7+PmRZxul0sXv3TgD2799LeflcXnxxAy0tTVx55To++cm7UNV6FixYxBtvvAqA3z/Cz372o2Pe32w2M29eFY8++hvWrcss81iwYBGvvfYKAK2tLTz22O9wu92EQiGCwSCpVIra2top+4xi5CobSNL4FjiZNVfS2Ciy3z+xJulCdvAzmnZsw3DlMlKJAAWeg9N+OpIkQziM+fVXSdUsRCsrn7lgBUEQssA111zPzp07+MxnPkUqleS++z7Pgw/+N62tLTz11J8AuO22O+jq6uI73/kaNpsdWZa59977mD27lNrabdx5522k02luu+2OSa+xdu3VfPWr/829994HwHve8z6++tUHuOuu29E0jXvv/TdkWea22+7g7rvvoLi4mKqqqknf63RIUzkMdiYGB4NnPRCfz8XgtA17nls8163F2HAAKRzG/9LreK9bS+T2TxH+2rdnOrSzShobJb+qjMQVaxn945+JBhqxuxW8HiO9nQ1YXRWY1/8V98f+ifC9/0bk81+c6ZCnTTb/PBwk2kC0AYg2ANEGcOpt4PO5jrtW5LRGrhRFMQGPAOVAGvi4qqotxzn3D0BcVdWPnc61hKmh5ecj7Y5CODyxmP18LCB6qnS3h1S1grF2B5Kmw3gKHxptxeLI1Kw6NCV47By+IAiCIJyq011z9U/AqKqqlwNfBb4+2UmKolwHzDvNawhTSB+v0s7AwKECoudxjatTkVp+MXI4hEE9AGQWLepaGkk2gqZheWEDWr5vYn2WIAiCIJyJ002urgGeGn/8InDZ0ScoimIB7geOX+xCmDYHa10xMHCogOic7EiuJtZd1W7HaPGSjPYjG8wAGHfuQB4cIH7920AW93cIgiAIZ+50F7QXAYMAqqpqiqLoiqKYVVVNHHbOfwI/AQIn84Zerx2j8ezfkeXzuc76Nc5Jc2Zn/j8wgK27AySJ3BWLwHL8IpwXjGvXAuCq24Xz3k/TUf8krtk3ZxKs118CwPbed2PLwr6RtT8PhxFtINoARBuAaAOYujZ4y+RKUZTbgduPOrzqqOdHLOpSFKUKuFhV1QcURVl3MoH4/Wd/w8ZsXrBnsbrIARgYIN3YBLNKGAkkgMRbfOUFoLCcfLud9Jub8A+FkC2VyAYzg4NBvE/9GYPFwtCy1ZBlfSObfx4OEm0g2gBEG4BoAzitBe3Hfe0tkytVVX8B/OLwY4qiPEJm9Gr3+OJ26ahRq5uAMkVRNgM5gE9RlH9XVfVbJx21MKUmpgXb2zH0dJO4/MqZDWg6GY0kly3HtGkjUjCANSczHSp3tGOsryN+7fXgcMxwkIIgCMKF4nQXmTwPvHf88c3Ay4e/qKrqw6qqLlFVdTVwF/CsSKxm1sEq7WzeDFzY295MJrX8YiRdx7hr58SxtyocKgiCIJwdr7zy0kyHcFadbnL1f4BBUZQ3gE+TWV+FoiifUxTl0qkKTpg6EyNXW7YA2ZdcHV5M9CDLBlGCQRAEYbr19vbw4osbZjqMs+q0FrSrqpoGPj7J8W9McuwV4JXTuY4wdbS8zObNBDPzydmWXKVWZMosGA8mV4EApjffILlk2YW9v6IgCMI55nvf+yb19XVcccVKrr/+7fT29nDbbXfw9NN/5MEHM5NcN910Dc8++xKtrS089NC3kCQJu93O5z//AC7Xub/wXmx/ky3MZjS3B3lsFMiOAqKH04qKSZfMxrRjO+g6bNiAlEyKUStBELLaA2/ezzPNTyPLEpo2NRul3DzvFh5Yc/wqTB/4wId58snHmTt3Hh0dbfz4x7+Y2GvwaA8//G3uu+/zlJaW8eSTT/Dkk4/z0Y9+YkriPJtEcpVFtPz8ieQq20auILPuyvLM08gd7fDMMwAkbhDrrQRBEGZKTc3CE76+f38d3/xmJlFLJpPU1CyYjrDOmEiusojmK4DmJrS8PPQc90yHM+2SK1ZieeZpTNu2wPr1pIuKSS1ZNtNhCYIgzJgH1jzIA2senLFSDCaTCQBJOnKbvlQqBYDVauV//udnx7x+rhMlqbOIPr6oPRtHrQCS49vb2H7+YxgeztwleJ79wAqCIJzvZFkmnU4fcczhcDA8PARAU1MjkUim9mVlZRWbN78JwIsvbmD79q3TG+xpEslVFtHyM4va0+XZmVyllixFNxoxjZdjSNwg1lsJgiBMt/LyuajqAcLh0MSxyspqrFYbd955Gxs2rKeoaBYA99zzb/z2t7/i7rvvYP36v1JdrcxU2KdETAtmkYPlGLJlw+Zj2O2kFizCtGcX2GwkLl870xEJgiBkHa/Xy5NPPnvEMVmWeeihH008//Sn7wFgzpy5/PjHR9QxPy+Ikassos0uBSB9nmT+Z8PBkgxcfz3YbDMbjCAIgnBBEslVFond+o/whz8Qf8e7ZjqUGZNYe3XmwfveN7OBCIIgCBcskVxlE4sF3v9+MBhmOpIZk3j7TYxs3J5pB0EQBEE4C0RyJWQXSSJdVS3uEhQEQRDOGpFcCYIgCIIgTCGRXAmCIAiCIEwhkVwJgiAIgiBMIZFcCYIgCIIgTCGRXAmCIAiCIEwhSdf1mY5BEARBEAThgiFGrgRBEARBEKaQSK4EQRAEQRCmkEiuBEEQBEEQppBIrgRBEARBEKaQSK4EQRAEQRCmkEiuBEEQBEEQppBIrgRBEARBEKaQcaYDmC6KojwErAZ04B5VVbfNcEjTSlGUdcATQN34ob2qqn5m5iKaXoqiLAL+DDykquoPFUUpBX4LGIBe4MOqqsZnMsazbZI2eARYAQyPn/JtVVWfnan4poOiKN8CriDzu+/rwDayrx8c3QbvIEv6gaIoduARoBCwAl8BdpNFfeA4bfAesqQPHE5RFBuwj0wbvMQU9oOsGLlSFGUtUKWq6qXAJ4AfzHBIM+VVVVXXjf+XTYmVA/gfMj88B30Z+JGqqlcATcBtMxHbdDlOGwD852F94oL+ZaooylXAovHfA28DHib7+sFkbQDZ0w9uBrarqroW+Efge2RZH2DyNoDs6QOHux8YGX88pf0gK5Ir4BrgaQBVVesBr6IoOTMbkjCN4sCNQM9hx9YBfxl//Axw7TTHNN0ma4Ns8xrw3vHHo4CD7OsHk7WBYebCmV6qqv6fqqrfGn9aCnSRZX3gOG2QdRRFmQ8sAA4mkuuYwn6QLdOCRcCOw54Pjh8LzEw4M2aBoih/AXKBL6mq+sJMBzQdVFVNASlFUQ4/7DhsyHcAKJ72wKbRcdoA4G5FUf6FTBvcrarq0LQHN01UVU0D4fGnnwDWAzdkWT+YrA3SZFE/AFAU5U1gNvAPwIvZ1AcOOqoN/oUs6wPAd4G7gY+OP5/SvwnZMnJ1NGmmA5gBjcCXgHeS6Uy/VBTFPLMhnTOysT9AZn3B51RVvRrYBTwws+FMD0VR3kkmsbj7qJeyph8c1QZZ1w9UVV1DZq3Z7zjy+541feCoNsiqPqAoykeATaqqth7nlDPuB9mSXPWQGak6aBaZBWtZQ1XV7vHhYF1V1WagDyiZ6bhmUGh8MSNk2iHrpstUVX1JVdVd40//AiyeyXimg6IoNwD/BbxdVdUxsrAfHN0G2dQPFEVZMX4zC+Of2QgEs6kPHKcN9mZLHxh3E/BORVE2A7cDX2CKfxdkS3L1PJm7IVAUZTnQo6pqcGZDml6KonxQUZR/G39cROZOke6ZjWpGvQjcOv74VuC5GYxlRiiK8idFUSrGn64jc9fMBUtRFDfwbeAfVFU9uIg1q/rBZG2QZf3gSuBfARRFKQScZFkfYPI2+FkW9QFUVX2fqqorVVVdDfyCzN2CU9oPJF3XzyzK84SiKN8g06k04NOqqu6e4ZCmlaIoLuBRwAOYyay5Wj+zUU0PRVFWkJlfnwMkySSVHyRzO7IVaAc+rqpqcoZCPOuO0wb/A3wOiAAhMm0wMFMxnm2KotxBZrqj4bDDHyXzyzVb+sFkbfArMtODF3w/GB+Z+CWZhdw2MksltgO/IXv6wGRtEAK+RRb0gaMpivIA0AZsYAr7QdYkV4IgCIIgCNMhW6YFBUEQBEEQpoVIrgRBEARBEKaQSK4EQRAEQRCmkEiuBEEQBEEQplC2VGgXBOECoijKRsCpqurSw46tIHPHUwmZfzgOA/cBb5K5G+jOo++QVRTla0CZqqofUhRFB0pVVc3K7UAEQZg6YuRKEITziqIoi4AxoENRlEvHj0lk9gP7nqqq81VVrSZTz+nPZG6t/g3woaPeR+JQSQ5BEIQpI5IrQRDONx8FniBTt+0j48fyyewFtvngSaqqPgksVVU1QiaBeoeiKM7D3udKMttc/H0aYhYEIYuI5EoQhPOGoigG4N3An8iMSt04vkfmELANeFlRlE8oijIX4OAUn6qqTWT2THv3YW/3IeA3qqpq0/gRBEHIAiK5EgThfHIDsE1V1cD4iNQrwM2qqurAdcBTwD1Ai6IodYqiHJ5MPQJ8GEBRFAuZLbEemb7QBUHIFqJCuyAI5w1FUR4HbgRS44eMwN9VVX3HUecVAh8js2fYUlVV6xVFySGz7U81cBlwr6qqlx/2NWJBuyAIU0KMXAmCcF5QFMVLZlPZXFVVPaqqesjslXmJoiiliqJMJEqqqvarqvpNYC+wcPxYgMxU4vuADyBGrQRBOEtEciUIwvni/WRGqRIHD6iqmiKz4eptwNPj5RgAUBRlJVBGZi3WQY+QSa6uBB6fhpgFQchCos6VIAjni48CD09y/CngfuAO4CeKorgBA9AHvE9V1fbDzv078P8BG8ZHsgRBEKacWHMlCIIgCIIwhcS0oCAIgiAIwhQSyZUgCIIgCMIUEsmVIAiCIAjCFBLJlSAIgiAIwhQ6Z+4WHBwMnvWV9V6vHb8/crYvc04TbZAh2kG0AYg2ANEGINoARBvAqbeBz+eSjvdaVo1cGY2GmQ5hxok2yBDtINoARBuAaAMQbQCiDWBq2yCrkitBEARBEISzTSRXgiAIgiAIU0gkV4IgCIIgCFNIJFeCIAiCIAhTSCRXgiAIgiAIU0gkV4IgCIJwCuLhLsS+vMKJiORKEARBEE5SNNCMrqeJBVtmOhThHCaSK0EQBEE4CbFAC0ZzDlZnOega6VR0pkMSzlEiuRIEQRCEtxALtiKbnJisPgCsOZXEAk0zHJVwrhLJlSAIgiCcQCzYhmx0YLYVTByTJAmzo4R4uHMGIxPOVSK5EgRBEITjyCRWtiMSq4NMllzSyRCalpyByIRzmUiuBEEQBGESsVA7ssGK2VZ43HNs7mqiY+o0RiWcD0RyJQiCIAhHiYc6kGUzZnvRCc+TJAMmSz6JaP80RXZuGI4lZjqEc5pIrgRBEAThMPFwJ5JsxGwvPqnzzfYiktEBdF077jl7modIpY//+mRiredmuQd/PEmdP8RoXEyHHs9pJ1eKojykKMomRVHeVBRl5XHO+bqiKK+cdnSCIAiCMI3i4S6QDJjts07p62xuhehYw6Sv7WkexuexsWV//0kVH02HQgQ2bUTXNCIN59aUY1LTaA9FuaLIS1c4PtPhnLNOK7lSFGUtUKWq6qXAJ4AfTHLOAuDKMwtPOK5EAsvTf4JUaqYjEQRBuCDEw92AhOUtEquXdnTQOxw+4phsMCMb7aTio0ccP9DuJzfHQkd/iNJCJzsbh0743pED9URbmnCtXoNtXiXpQAAtee5Mwe0bCbHY60KSpJkO5Zx2uiNX1wBPA6iqWg94FUXJOeqc7wL/dQaxCSdg+9X/knPHxzE/t36mQxEEQTjvZRIrHYuj5ITnaZqOjV6aW1VGh5uPGImyOsuIhzsnjjV3j2E1G+joD7KoIpfRYBwJaOgcPeZ90+EwgU0bMfkKcC5ZNpG8OJYuI7x795R9zjOhjoaZl2PHIGdiK7Kb6Y2I0avJGE/z64qAHYc9Hxw/FgBQFOVjwKtA28m+oddrx2g0nGY4J8/nc531a0yL7ZsBcI8OwCl+pgumDc6QaAfRBiDaAEQbhANdeDxWnJ45b3luXVMvS8u9zK5YzMs721nhbkU2mMjJq0I2mPDkLCEa7GY4UYQrx0r/SJRrVs3BaTczpzSXA20jNHWNEtOgtDDT7mN1daQjUQpvvmHSEaHAaDEWYlh8vqn+6Ec4UT/oCkQo8bmY63EA8GrHIKtm5bJ/KHBB9Z+p+iynm1wdbaI3KIqSC3wcuBY48T8BDuP3R6YolOPz+VwMDgbP+nXOOk0j7/XXkYFIayfhU/hMF0wbnCHRDqINQLQBiDZIRPpw5xiJpvKJnkQ7tOzdQ41Bp7NnKyXRBDvVEHOLnAw5OjD6PNhyKujtG8Ef1whEDSytzCcUjLL+jRbWLp1FnsNEIt/OX19r5pqFuRia9mOrqsY0p4yhodDkF/XNZnDLJnJWXTrFn/6wS5ygH0RSadqCURZ4nQwOBtF0nVQ0yeaWASSgXw4gn0PThOlQCIPTecpfd6o/CydKxE53WrCHzEjVQbOA3vHHVwM+4HXgKWC5oigPneZ1hEkYmhqRR0YAkAcHZjgaQRCE81cq4cfpnXtS56YTCUwdbeSsXoNzyVJ8q1biWXExw0XV2Nzz0DoS9L72AqO1e+netZ2FHgmTQebNfX3UzHazvz3ze7s4z8GVuTFe+8sbmC5aiSn/rUekbJVVRBsbz+izng5N16kfDVMzPmIF0B2OU+60IQGz7GbaQ7Fpj+t4dF0nUr9/psM47eTqeeA9AIqiLAd6VFUNAqiq+kdVVReoqroaeBdQq6rqZ6ckWgEA05ZNE48lkVwJgiCclkSkF9MJCoQeTtd12l94kbw1K9jnD5EYL6tQVuhiNJIk5spFr15Id/EqAhVXsfzSSuL9m9j312dYkupl+NVN9Lb5SY2vrfIU+7jug2/jsb83E4m9dUkDU14+qTE/+jTfxFTnD7HI6zxiujKQTOE2G6ly2+mNJggn09Ma04lE1QPYlPkzHcbpJVeqqr4J7FAU5U0ydwp+WlGUjymK8q4pjU6Y1OHJlTw4OIORCIIgnL9SiVFMltyTOjdUu52B3FzyZ1VgNcjs84cmFq4vnZdHbcMge5qGSKY0llbm4cybT5exkJrrVxHN1fAoESp6X6F+/dMY5ueRMvsh3sLNKzSefX0Hff0dpBJjJ9xKx7F0GaHdu6bks5+M9mCUQpsFi+FQqqAdtoDfJMtoOhikTImGmabrOulgEGPO0ffXTb/TXnOlqurnjjp0zO0Mqqq2AetO9xrC5EybN6F5POiuHOQhkVwJgiCcqnQyjGy0093ux+Oxn/DcyIF6LCWl6L29tARjLM51EkqlaRiLoHgcpNIauq7T2hvi1rUV6MCuxkFWLV5F1L+XcFcPtsYuXIX5dNuXEo7NoqA4kwDY3XDZslF2NfZSXZJmlncYTc8kWFoyhCNv+cSokWwyY3A6Sfr9mLzes9o+/niSpKZTbjMfcbwrHGO2wzrxvDLHTtNYmNZglGq34+i3mVbRA/XY59fMaAwHiQrt5xm5twdDRxvJS1ajFRRkkquTKEonCIIgHBIPd2BxlBGLJtlX2006NfnIS7y7C8loZMxkwO5yYTcakCQJl8mI3WigNxxjU10fRqPMFUuLUTtH2ds8zKULi9DjYUZffh2pw0/Rhz+FMc9DeUylZyCEf/jQTVyzfB7mlRUzELbT5vdidyvY3Qqbmp3EQx1HxGNX5hNtOHBW2yY1Xii00n1s0hlIpHGbD43LWAwyGhA/xerzU03XNNLhELLTSV3byIzGAiK5Ou+YtmZKMCQvuRTNV4CUSCCNHVszRRAEQZicnUfeAgAAIABJREFUrqcBmZGhMHkFTpasmE1DXT/poxKE1NgoycFBbJVVNHV0gbeAihwboaEdJKODlDgsvN4wQFqHFdU+3A4Lbb1BKma5CNRuof8vvyI+az6eK4qJBlWMPjcujwn8TYz5I4SCh2pEVc32YDHKyHKazbv2ckDdxlxPL4MjxxYdtc6dR7S56ay1z96REIu8x94Jp+k6k90UOC/Hzmg8RSQ1c2uvIgfqsSo1vLmvjwLbzP9NFMnVecY4vt4quepStPE7TMS6K0EQhJMXC7Zidc1lbCSKJ9eOwShTtbCAxrp+NC0zE6AlE0T21+FYugyAhA52owFZkohhJRYdYuu+Vny6jK3QTjiWpLV7kKvzu2l+6jECob14r78JvAvxzLoKSTLgKF2EZojjHGvBnpOmt3OUeCxJKu4nMnqAat8QQX8Lhb5C9nR7KZ2zkmBwCC19ZKFOc0EBqZGRs7K4vWEsTEWOHaN8bBbVFY5RetiU4EF2o4Ecs4HWwNkvqTQZXdNIhUNsaQ1RM9vNUHdgRuI4nEiuzjOmzZvQLRZSyy5C8x1MrsQdg4IgCCdL15JIsgmA4NBO0skoRqOBeTUFNOzrQ9M0glu34Fq5CkmSCIz1EbTkMC/HTiA0TOv+Nl5uMdIx0M6cAj++RAc71Z2U9dWS7Bum+tIKuvJuZiyUT3FpHrLBjNHsIRkfJnfJjXiK8/C/8XuKCgfoUHeQSsSwuRUc3hqWLFjBq3tGuOWKOby5f5TGfjvb9tXT2DXKSCBGenzhuGPJUkJ7prZye380js1gOGLa73DBZJqc47w212Wn/yTuejwbQvvr2E0hy+bl0tfWS8X8orf+orNsqoqICtNACoxh3L+P5CWrwWJB8xUAIrkSBEEASI36Mbg9J9z37mD5hcG+IHk+A+1NCWRpJ468xZhMBioUH41Pv8S861cjGTN/Ive09jGvrBIJaNy/Bb+7iGRrM9dcNo+BwS4GGhLYCnMZtORQOi8PZ8Fi5gfjbKvt4vq18zIXNlhJBNuIa20YXS40SzXBzn3MrryK1maNeQvSxJMa2+oHcDtM/Gr9AfLcNiqL3JTmxbG4HQyPxegcCE3csScPx9F3NqM7c5AlCY/TQr7HisNqOuW2iyRTDEaTLMqdvPimpuucqExojtmIQYKRWJLc07j+8ei6fsLvZyqVYnNzgCveVkObOkhZeQKzrWLKrn+6RHJ1HjFu34akaaTGq/Tq48mVqHUlCIIAoT27kS1WXJesOu4f5FRiFLunhlBgEGtuP25fJYFgBMnUgj2nglRrIyUX19DSFqZqYSbR6E/LrPE62LO7DqfbwN4emYVKEQ2bd5MnJ6mZK5Emzi5zIWMxM7MGVZypJB57lP0NERL7N1Pz2O/YfdNHGamuxmdxoWsGemrjlBh3kZRd/GnDCLLNgo7O2mUlROMp9reNEEznM+Svp8IToLwoj3IOrYXSK/MJbt1MTtU80prGWChBbcMgK6oLsFtP/s+7puvs7B9joff4d/t1hmKUOo+dEjzcYq+TPSNB1s06ufIWbxlXOk5wcCt278JJS2akNY1Xnq/lsnWL6WwepkLxkYqOMRwMkZ8zs1vyiOTqPGLa8iYAydWZ5Gpi5EqUYxAEIculQyHMBYVYSssIbnoT1+pLkeQjV76kkyFkoz0zGkKakeEopVVe8nJnU/vmaxTnpJFMJpxlsymLJmmqHyC3OIHN4qKvpQ2HdYwdox7isW4SHTZMsge/20mhR0ayadzgu4Rdw0HGYmlequ8nP68Q+Tc/5drf/C+mWJy8hj78G2tpGtuPZhujP5Ii0GElWWRjpZKgtSvIdVcd2uImmdLYVNeHt9xBItqPyZp3xOeRJAnrnLnEWluwzq0gN8dKT2QPhpaFrFBKiKc1EppGPK2NP9bR0eHgDebj+WcspXF5ZRHh0eOvmQom05S7bBPP9zQPUVniOSKJy7WaiaTSbznadDJ0PU1ktJ6cwsuJjO4/JrlKpTXe3NvL8jwYHExSXOpBlsJIJhdtB1rIX7H0jK5/psSaq/OIactmdEkiefElwGHJlVjQLghClos2NWKrrMLgcOBcvpzAmxvR00fevRYPd2JxlNHXHcDrGUGjBINBxmQ2YjcVM9K5F2tFZhrPajNRUu5l/e5hLvHa6B5rp0Ny8kz9H/l222f4/tBf6MvLx5oa4tWEm7pBKzv3q4T7wwxEE1zqTHHD9z7F23/+QzTJwOjFy7F19WL75U+QE5WEEjUYPXYCgTZc3iD+WIpF1bPobNiEls5sJ6OUeUGHjhEnqbgfXT+23IG5sIjk4CB6Ok3P2CDP9azn+dYX6QxFCSRSaDo4TUZm2S1Uu+3UeJzUeMf/82T+uyg/B7vJcNy21XSdo9e3J5IaOxoGjigqClDltrNn5Dh7JJ4kXdcJj+zD4V2EJEmYbUUkIr0Tr6fSmaRzCUNE8+bgcltxuiwkIr20RRzkSe1ndP2pIJKr80Uigal2O+mahehuDwBafj4g1lwJgiCgaxNrpGSrDdeqVQQ2bURLZhZZHyy/IEkS0VAcXU9hc2TqOGmJBPbhdiLui4iMHSpxoJslNDnFxm17CVgS/Ptrd/F85GcE9GFeHXuEvzU/wT7djN7cTFskiT/WTCJej3HTkyy58xZKnt/ImFLBxh9+lUc/fhcJhw3bd79LkRZm1eJ5XLr2MmblmHG16GjGJEN00iPb6GmrIzzazN7tXayYX0D7kM5YRD6m5tVBBxe33//KV3i27xFeHvkVYf8Ys51WCmxm3GYj1vE7HU9Hx1FTgt2DIUp8Di5WCth+4Mi/P1VuB93hM9trMDp2AJu7CknOfD9N1jyS8RF0XZ8YzVs930dgNIbBaiHXl5nO1HSdwfa/Q/HJ7RV5Nonk6jxh3LMLKRYjuWr1xDHd40U3mURyJQhCVktHo8hW2xHHZJOZnNVrCG7ZjBaPT5RfSKc1JPoZHfVQWOJG13UGX38D18pVzFXK6OsKMhr2s28kxOttTeT4O6iNP8ZHXv0gHcm9LLIu5p8c38AkmflL4GeoI370mA2L7COgL6TqyT/yrv/4PO7eAXa950M8/92v015yEemylWz94J1Yw2EsD36Wro5dpLUEhfMvor67l2U5c6h0FbFwVhFqKM1rte3UJZ9jcLiVfLeNve0xUonJSwzIViu1oX5e6n0cgPrgLta3PDNl7RtKpnGZDk3/9Y1EKc5zYLMYmVPkor7df8T5OWYjA9H40W9zUmKBFky2QgzGTOKrdvhp6BzF4ignONrC5ro+Ll1YxMjOfWiFZRTNdgOZKd89Q234wyM0+qd3/8XJiOTqPGHaPF7favWaQwclCS3fJ6YFBUHIatHGBqyVVcccl4xGctZcRnD7NtKhALLBTF/XGLm5oEs2ZFkiVLuDvFWXoBkMtEXiDFpK6G3bTn7vVlrVF/h235f4yfATGGUrH/F8hPvKHkJxLOBDBfeT1JP8fujfaUqm8e7dwfX//QlW/Px3xFwuXnnwZ2z9xD9hMfpwyoXkdzex/cobCZXMouSvLzC4s5+9LaM0jAxSWpxmtO5VrM4KwkM9OKM20ikD/UN2xkK7SEdaiWpe2ru70FLHjgq1BqP8cOgRolqEWyrfDcDLPU/TOtR/xm179JSgftQ0YIHXjtEg0T0Unji2PD+HPSPBU75WItKDbLROrK/qH4lgNMgUem1sawzx5BuDXFSdSyqWYGAoxpyaYkZifnYP7uONxmfoHuxnoWUp1y+46PQ+7BQSydU5oj0YPeHrpq2HioceTvMVZEauxBY4giBkKT2VQjZNfvu/JMtYl1WQbB4mFQwQjwyi4cblthJtaSaR72N3MIk60EVO5yaqgtuIdaT4RtPjfLnjAZrSrSg51/Hp3K+yNnctHQMaVQxzY9ENvL/kXoJpP4/33cWVX7+Hudu20bRkFU/96P9oWFFMHkk68SHFo9hNZnSbgz3/eCuyprH85w/S50/Q4i9kV2oJ2waSvP7bn7BTHaYorw9TnpHr513BUHQ+kqePkaEQpHXq618lMqYSDTSRToboj8ZpGN7Na73PUe2q4ntV97O8YAW7Aht5Rn3hjNu2PRSj7LApwY7+EOWFTrTDNmqumu2hdyhMKJqZgrUbDZgkGX/85OteJeMjaOkYZvssIHMnYGtfgLTTSFDTSKU03n/9MvY3HOCxpzbSP9fI7sF9hJJhRvwa5kiSdc6LqFi2+Iw/81QQydU5IJpK0xKMMnq8jqhpmLZuJl1ahjar5MiXfD6kaBTC4cm/VhCEY8gtzXgvXQ4vvzzToQhnSIvHkc2ZzYVTidAxIysA6eQYnsuvJbR/P3K0G7/fhseSIh0M0jHWha/xZWb1NJFbupKesjLuHfoCj3Y/il1y8Y+zv82tri9S6NYpKCjCNtqCeTCJfd9WPtJdxruHymgz9HH3dQH+csOH+cX7vkyn5CAdDzOge9GBWH8X8VlzcJqdrF92K73VCvnbduPb+Cd8lnbmFYQJJWZhkQpYVGLAYi4gnWymssLB/NIcgn0Kmq+NsXgeyTAMRYuxOucwGvHTM9TKNzfdi47Of6+6j1RvN5+56LMAvNT5Z7qDZzZ6FUmlcR42JTg0FiPPbeXNp7YROmx0aoXiY1fj0ESR02KHhbbgyVVsTyfDJKP9WF2H6lPtbBgip8COQ5LYdqCXQE6Avf5GhocHWVclUeOrIdyfx3ObO8mXhvEWLsCaSiFbrdTViQXtApkh3SuLvXQcZxGgoakReWTkmFErOFTrSqy7EoSTZ/3T4xibm+BnP5vpUIQzFG1UsVVVo+s6/q71hIZ2EBk9gJZOAIfKL0iSRCC/FGc6TrJJZeRvz9Kd1ikIDFF6+S3Ylqzh2/UPc8MTa6kPNnCx5Rr+o+pHlLIaTCOU2G107GqnxAyxpasZc5ax8tGf8oefdHBZl5E/LYBfXhWjxBymJHWAWMRLX2iU3tE2dhgktu85QDzQhisXmv7fh9AliXVPPIHHbiMwbMRcXk4obaRnb4Cd6gCuvEW0tNSytDDCnIJuPBEPdaH9FPtCdO7fSkP9PnoDwzT5X2Kffz/XlaxlTf4i0t4xVo0YqfYqbPW/xHMHNp5226Z1/YgkQdN1SCZo3fAGxhwXe17cTXIks0myJEmsrClgW33mb9Fcl42xRJpg8sTrn3QtRTTQhM09f+JY92CIlFnCa7ewqf4ASkWSq0vnEul2U2DPJ29OLtFEGr/Ww7rFbjr7dIb9hYQ1A/2799HXK5IrAdB0MEgSXrNp0mFU0+bx+laTJFdif0FBOHXmv49Pl2zYAGdhfzbhzGmp6KSlB445L5FEtliI+Otw5l2EbDBjzakkHmon4t9PZPQAFkcZif4+ou3biUS8WHsbcF9+BVpkkOYxL88++79c+/gVPLTjO+Tobj5S9jDvmv3v+EcKKHUMAwEKRvowj4UxLL8CpfZx3v2FD5DfoNJ+yXW8s/qH5Gt5/CX2BM3W3zAaDhONSMyOFjJPi2MPWoiWyIy0+ykPS+zJr+HAVf+Aq7ML36+fxGBPkEyH2GMuQR0x0jAYZKBtlIaROTT026leoBCOFzHYX0F7Ks7ixV52DDtJDLv5Su0PMEkmvrLuYRy5i8idfzOp0QHuXPAx0nqKV7r+Rmew+7S+Bx2hGGXOQzcKqLubKRjtIFZYQbwgxrDbxIDaSqwjk8xYTAaqZnuoax3BJMvkWU20nWDJi67rhP37cOQumqiLlUpr1HWPUuxz4gAkKc2CfIWhzjBLy73kyRrPdpppCassnVPILFOKirlelkh+ev1RXmkfYszgPa3PO5VEcjXDBqIJfLbMWoFSp5XOSUavTFsmX28FiC1wBOEUScPDGGt3ZJ6MjmLcvm1mAxImFQ00Eg00Ehk9QCzYOl5K4UhaMolkNKJpSRLRfqw5lZnEKtiKzV2FkUKinS2M1P6VkL8DU3Eh3dEhhi6fw5Pbf8/TbX/hx6lHeUftP6P6D7DOdCWfWvBH1uUqDAUsGNwOTPFBlob6Ge2MUzIc4NrP3MrFX34QORHnlds/xpOf/1fyFi/h/5X+CLtk40fDz+Dv7sbeH2WkuZW+rRFy5W24QkH6C2xsaR+ksT7BpkuvJmG2sPivj2PYuIeKeDPLzZ3kxiOUxlsoGY1SEt5FfY+J0ECQ2bPi5Nlz2dtSwL6+3dy03MOvOn9JX6SX95d/nAp3pj7Xnu1dmMrXclU8l1n2Yl7p/wtbO+pO63sQTqZxmAzouk5ozy5GA1EM5TVo6HTGkhQpc9jYH6dhrJ3w/sw18txWbBYjnQMhnCYjuq4TTWW+d6nR0SOmbSP+fdg9NUjSoRpbr9X1MbvMTbnLxgt7VGx42bi9C5vdROe+Aww5ilk6x4jTlCA01kuHXkSx00l0fx0l1bl48pykzMevND9dRIX2GTYQTRyxl1Ou2XTM3kymLZvRPB7S1coxXy82bxaEU2N+9e9Iuk7yktWYtm7G8uIGUquP/YeLMHN0XUeSLdjdmd95WipKLNCMrmtIsgmLswxZNhFtbMBeXU10rAGzvYgtfZtpHqynq2Mbw4kwg9oIowaNodgQvcFuAqnxNUIth10sAAVyMZ9O3UhJ6XtoNbrpTgwRMcjUaAES3YNc/OqzFGyqwxkcRZck6pYuYccnvoirSGfZQDdjRjNzZSN3ej7Hw/4v8T3Dj/nuYIKYeTmjnghzRjQsDhOyJUHCYaJw1lxGMbDpHR9n7R9/ykVt22gofzdSvp2AM01OKAUYiBrKWRjbw5aW+SizOrEZTQxGffQGBjF0Pcefe36Oy+Dlnov+jcb9/ZTNyyPHbWU4qeFLFfCJqnfyld0/5cXWDSwrqWaeZ85Jfw/S43cJpqNRQrU7sC1aTEwKs6VpkO7REa5aU4aUtJC2eNneFqN+dj95mweYpaxEssnUtfspLnASkXTqWjqo8vdjdLlIH9iPdU4FaVsg8300WCauWd81imw3sCDXRTKVpr03yGUVeUQiSba3DFJtBFNxmBxzDqVSGF12sGuwDVObn4J5pTSODFHbZ2OhcuIbxKaDSK5m0GRVb2c7rewZDk4kV3JvD4aONuI3vB3kYwcaxciVIJwa80uZKcHQF7+C99Z/wPzi84Tvf2BmgxKOkE6MYTS7J57LRhs2dzUAWjpBPNiGrqeJjbRirihET8d5w9/CR164bdL381g8eE0eqozl+HJmYYlCUvZSkKuQG3WxypJLRzAPfyCMx5mitzPBpSMHWPXKY1Rt3oohnSZmd9D8zhvZc9kS9s6+DteIiWTMRsQWwJuqQ+oa4+25DgZs/8zvoj/ifu+f+I+wh/nRGAfMK5kXGcDgyic01E46HCHtsRC46kqCLz/JvD8/zesr302wFUwlXTh9c5E7R4hRhKQVUmbto9dfjMXQBOn5VHuq+VztvxNLx/hM5X2E4maqFQ8vPNdAQoarLpvDaLCA93rezg9Mj7Kh5/94z+i7qHCXn/S2NO3BKMXBEYaaBxicv4TW1gBjvUGqClzMKreysLAYgHn5TprVQYZjeUQMAfa8voFr165l/tLZvL6tBcdoO0mPh46qBUhbNpHrdpHY8yayw4XlkkPFPoOxJHt7RlldnkdtwyAb93VTPttGIpigO5LAFxsheHEOhZYc8k1WUrqbzsF+qoZ6iOWV8aLWzq4eKy5nkBzj/ON9rGkjkqsZ1BaMMsdlO+Z4ntXEUCxBvtV8aErwksn/ZS32FxSEU6BpmF9+kXRhEamVl8C6dRg3bEDu6T7mTlxh5iRi/dhyjq1bBSAbzNjcVeipFGlnmPDwHjQ9zbe2fQ2Ar13+LcpcZVijfViTRtIsRksaCDd2g6uAUnOEnsWVpMZaKQ8MMxYbwT4SoStlx5/r5m2//R6zd9RS3tEIwJivgAPXX03X5WtxOoNsHJtLoZyDPS+Kve0AHp9OXLfjXOUiPOLj3ekSmuONbNKe5+e233JPxcMo9XWE5FyseoSop5L0WDOxQAU7ixx4P3QXl3//Ad72h+/w5m2fo2kohjO0n6TRSmpnHbElS/H62+nJSYDdhyvUyvq2NNtGt1FkKeXjS97G3s4eOvqCzCn34Pba2L2vj9KCYswDIT5e/V4ervslG9QXKckpZH7u5O16RPun09Q3tlDitJFTvYD0QISYP8aqObnIkkTQdWgaz2I1YrEYqPBYceb4MCyo5MW/rccWDVFartCWV8mKmkKGOjqpXLyAVlOavKgTY3+EkWefQa5eQIc5n1fr+1hT6cNqNpCXY8XhTrC8cB79Q1E+sHIWf3xZZazFxZLL8on465DlUtqbNmIsMRPq3U5zdDlO7MzOdZLoH4b5c868I54BkVzNoEhKw248dj+nEkdm9OqI5GqS9VYg9hcUhFNh3LsbeWiI6Ac+BJIEN94IGzZgfukFYh/+2EyHJxykgySdeElwtKkRY6kXi72UF1qeYd9oEytcV5IzcAlBvxt/LI9clxF3jht/43Zc+T6CPd34L17JgW17KTNK1MesOKyzaLYaWbjxWVY/+yfcY8MANCxZQP3KNbSvWUwyZSDXHyNiSSIb9xPr2ozRWkXcV0HYEWIo6mNWeACbMcS+uIt/CH6QQYfKAamZ3zY9xIfmf46GHiiIxZintTISTGB17SXWX8zLy66iYt4fKdldiz3SSsGyyxlpjpMXaSddHMWydSPxeSUUdjQxYM/HbvDz087vA/AB83v588vbePvcQvwBmeCAm94CI6PJHKSIEXkoydXzP8pP6x/l6fZfc0XlteTZS/GazRiPmgnRdJ32YJSxcJhESwslc+aQb7TT1RVgfpmXgd4gxSVu6jvaqMopPeJrC4pzCIfi9HcMURDr4bqaapLJOLXpAIHYEE++FuIS+tDXLacs1s+bY4W43GCyFmGr202/fyfvvHYtcyoKCUWT1DYMUlYq82bdAWoudvH09hdZdcla+vusPPrK8yizHQx0N1BUWokh0kVfRMEsO/AajXjTafTg2BR2xtMjkqsZEkunsRqO/8sj32ZmIJrAs2UzutVKaumySc/Tc3PRZVlMCwrCSTg4JZi8+trMgRtvhHvuwfzCBpFcnWdSkTAGOQ1JnYf3/gKAGwvv5pbLZpOM9mMwF2FxlOFv3kCu240x+v+z995hkhzl4f+nJ/XkPLOzOe/e7u1e1gWd8olDIAnZIphsE2yMsI1NMjYOYIPtHzZgG4wxtr8iY5kgkBDK6XS6fHt7e5tmc5ycY0/PTPfvjxUKKBlxCtj3eZ55dra7eqqmpqrr7bfeUMW6rYVHJ07SZKqhy2uQzX6av/M53nTiIfS1KpLByENXvY7o7mGydg0JTzsBTZmSYsDYXGEk4+MSU55U80GSiZOYHfNkwh0MdKSJphqZyEh0u1bJOMO8vfApvpT/Y45oH8A4M0Rz+b24nSVyLQEE5zrrqUUGqnGywQL3vO5t/NYX/oSdX/0yP/roxYgakZi7n8HqNMlNKvnVOI7uDhpUHd9Mr7CmLDBs3sVVvRcxkvJySC7i8xeZy8fpbHCxeSaDYBii1tqNY2Wet/W+kf8MfoMz83fjEG0EbD3Un2RYrqpgq9exJGO4UwnmO7oIhTPIrjz2hhqPzIQw6FROzqTJ2iNo0zUmZoIYRQ3XbN2Mxawjeug0ja1OQsYW+gabUOsSO+dHKBuiPCSprOcqLI2u0uUOMOyzsF6vscXtY8TvxBbNYR07SvyswNnWLYTldZREgYu7tlGqRvBorYylg1RI4675iY7WKPftAWmcSNLGsiyyucmCVK2jWZ2hFgi8XMPycS4IVy8Ti/kyffZn92hoMotMLK0zODm+obUSxWcuqNWiuj0IF4SrC1zgeTHcfy+qRoN8+ZUbB3p6qHX3YDj0EFQqzz7PLvCSUa8W0eqebi7xZFRFoSYksNqu4K7gtzmbmmCv+2qu7tuDweTaSHBcLWzkFIym0RZlitpuRMHAWsnKYJNK3WHn8r/9GAPnTpMINHLXzlczf90+Mto2BpJnsRcNpIwNeL2LSDkd4UoXbdE1Ig0DBPwRvIKHxZhCWllhNGghHg+QCbs5kzAh5faRiJqoVO+HN13BA6Z/gR9fjz11GVe9ZYlXX1tATfkY85RpaXKwsqpncsc+BkeOMnT0W6y89QMI4WXybjsJ+hArc/jWz5Ap6zlsvhkteq43vJ2kJobDDQtpiXjGzav7XSRzGuQdOpSHztB2+aXMT1W46cAH+cbMd/nh+o94Vc9u2i0DiLqNwKuqqnI6epb6ZISoVmQdB+mVEFcNerCLViw6MyvnVjiwv4Ol+QRul4HIjIWdDg8tnTbuvfMh7Noibd2tFCwiXkOW2XMJ2rqc2Hp2Ykpk2DfxIKP9u1DFPDqPnhQKNp2WHy/HcGRrXLW1lUiPgcMjs3gnD2GTdTRu3sWaOEtiapy+gX3scrdRmhxjXC1zSCfSvDpPpknLTMJIX0OdVK6E21pi1RLHVn/55/EF4eploq6A9uet2X+O9smzCIryrFuCP0Px+dGsrZ7P5l3gAi8b5ewsJsfz24X8ogiZNLrTJ6nt2o3qfCIOjnz1Qcz/9mX0x45Q/ZnQdYGXDbkUwmjrfM4ypbkpDIEAqqryj+c2AsFe6Xwv/W1OVKWOVm9DtLYSvftb5NbKePZuorRW49aRNJ1dWoqSn61f/hQD504ztWUnD/3+H5HDQk5jwDWxzFprB6JOT29ljtiiE0ODGcPCOQy7L8dSLvL9b7ewFvYQXjYTydrJZp5ZGHS43DQc+RqxAzeiecuNFL9xLz/61z1MHA7w1ndoEKvj1Goydo+B2298J33nTrPjJ7dQ2tZMzdzGXM6Cv22deVcHK2oDM+bPUiilGDK+mojWyh5NDpuuTsGzjejKJIfCThoNBWKhHO1DO1Gnz9B22S7W7znC9S1v4Ier3yWYTaFZvZ/dra+ivLjAqeQYPToFsesgc5EKVw24WZMqtNk3vNhLJRmtViAZK7KaiJJZrtHaVOPs6CiLJwW6L2p21TTqAAAgAElEQVTB4uhlKl5Cly0xOBTAKTgoljQYrUY0ZjOeTZtoLKWpCAGy5Rn2Ne1kJlfGUKgyV1+ntBhCLdlpaOpnVnFTTz2A9cwR8FXw9u1HZ2hj7IEfsCR4KXrctDhcyNFlHgnpaFGTeBx2IqnjeHN1nGIvrSsLz/h7vJRcEK5eBpKS/JRQC8+G/+wpAGp79j5nOcXnRzc1AZIERuNzlr3ABV7JqKpKOT+PaG1Fo/2fj+XpsTCdfT5E47Pf0gwPP4igKMg/2xJ8DPnAhnBluO+eC8LVK4CNcAvPvTRJxQXcvddyz9Q3GE1Nc6Dhanrtg2g0AuXsAnptA6kf34FaldB0+oiEzcT0GSqBdiz1CA23fIkdh3/KQncH337XB0jM6ulpkGmJp0k0m9HVhA0ti0PAkUmgTWqZd7WjP1Pnn754OYmEGQCNRsHryNPdX8bqXqa5IUuTr4jWohAYsrCp0UYlnuVu9X18d/mLCO/eh2vpN5n93mf59J9eynXXeLjkup9is7Ri0ZR54FVv4uBPv4Xl1ByrV+/FH1lHlt3sGQhzSIpwW/QwTo2dDyk7OZa2srzuxdkUx1BP4/b0slKbRWNwoU+GyDQ5EDxddK5NYXaYeL37bfxo9Rb+5dTn+eueT3Bi6Ses6l30ONycSzaws7bGnsEh5nMlOmwmlHqFajnGnfev0x0QmZtIUnWncbjaCKeg1+Fg0d1OMq+hKlposNqIRvJEQnX07iUKKyq7rP3Ug9NYd16ENZWjfWKUeW0Xt1dOole01GSBGwc2M5MoEJPCJLRplvJpdre9GimQp5KfpmFyCuXRe9DaO2no2kRRV8CqTpJ0grSmZc2RYTFWYlDnolg2YF2bIexvfymG6nPygoWr/v7+LwB7ARX4YDAYPPmkc1cCfwvUgSDw3mAw+Pyhdv+PEC7JbHY9f5Az/fFjqILA6ubtNDxHuSfHulJa285TKy/wv5nK+jr4Xn535Z9HLoUJ6wcRCytYHnO9fz5Cqxma2pwszibo3uRDr3+6kwg8YW8lH3gVADdPHeP3HJdQ3bcf1WzBcN/dFP/6b5+1HlVVKabOYvU8s/3jBV4aquUkWsyAwBfGvgzAtU030dVoR6lWKY1NolXs1Ep5lMYGlMAe1ldOMINKs3gafnSCS2//JpFGL1/70KepxY20BIyItRhY0nRYtWQkM6GylZxcwKeWOau0c/KBHdx1+2YAXntDjIt2rmK3zuPxF4mtZnHZ7SgaK9PlBFq7Hoe5lZn5Mq2uZt7AJsxNH+KO0HeJdH4N8aPfR3v4z/jxnX/EoSMdvOZNh2i5RAMHbGQfvYOLfngLj+47SLlPi3NqjFB5Lyeq/0SdKpdb34Mu5mfQsEZWG8ApizTGFvBYIWN2cbKURlvdRWb+BH51jdWKB1sujTAvscN2Gafkh8h7dJR1ZS6xGqhUtuNqrlCMz2IQqmQrZryywmpIoa5Y0RldDO/s5dEzqyxVamy1uNAsn6S+dQcdVpFKqkS5JNPZ6sRu1jN6LoLJaeOSbV6OnBzBL8TpqUl0Oayc625ndXoUxRUgVZDo6nRzIrbC0mIVWwBySxpet6MZ60yJhCdFxb4ZffRWYoNduK1GfJmT6EoKpYoTvbpGTXUwZO1lNlrFFD1L0eUi09TKvlDoZRyhG7ygCO39/f2XA73BYHAf8B7gn3+uyFeBNwSDwf2ADbjml2rl/yIUVUUQeFqskaelvalU0I+coj44RNTw3E/wF8IxXOAXQa3Xydx/D2r96RGvX26W0jGanI2s5P9nichr1TrlYhW700Tf5gbmp2LU68/wHKeq6B+4D8Xroza8lfFUii6bh/sWx0EUkS+7At38HJqF+WetS8ovoDM4kcsX7BtfLJS6jEbz3Fr9wvJZLB07eHD+x4ykprnadxkmuZPOZjsPHTvEo2Y7R1aXmOn3ctrQzCOLQaZTXqyKkeFHR3nDd79Jyenii3/y15izGqxGB25vCUEjMWdvxGM3oBo8DJhKJLRO7gtt41/+5gbuvG0In7/Mxz4xxZt/dw1n8xLZqovEUo2APYXX30akbMdjMOP3e6jo61iaFvH4cpTM+9jvHuYjmz/MNcINoFUoXfpxjB8eIOt9iO985bXc+rmLWNQ08vAb3oyhUuG6W79G1rWF1OB+Fifu4kjqGL3WXnZUD5L192POKZSmcvj1dawOAdFVx1eMsFeO0q8ZQ5ZtWKsW7E1p7MMqXYEi72z+DQD+aeRvoJrhdDxBMH6EucwqC2U3J0bi5KNmsjk/3YMDqFoD7d1uHj67xmI5QafZT3JuibRoRyqWKGYl1gQVJS9TkqpkijLbu7zs2eTn/hNRKqESWvsOlvOrPBp6lLHsGrIzwOqKjMlpQxVkjFkDO7oVArKLgMuFvJRitZ4kIRtQ5x7F1NVPJaxwms0EnZtZsfezKEog9LEzqVBelOhZX0NrcZBv7KV75RHOBdIvxXB9Tl5o+psDwI8AgsHgFODq7++3P+n8zmAwuPbY+zjgeeFN/N/FRq6mpwpLi/ky60WJhdwTGcR1Y6MIkkR1z14aTSKhUuXxc9lChTOzcUZnE8CFQKIX+MUozwRxverV5GfnXu6mPIX5XAmHqMMl6nGJBhZzhee9ZmkuSUfvxu1FoxHo3dzA7EQURVGfUk47fg5tLIp85QEKdYVgdJ3kggad1sV6IYx89UHgSTkHf45aJYOg0WG0dVCrJH/Jb3qBZ0MurWOwND3r+UpxFaGkR+d08g+nN7SM79r6pxhMOqYTaeq5cXaNzXPFpVficjazGjaSr/qI2100rqbZ/+WvI5tNfO7jH8dgaqKS19Odnsa1HiVsLtOrD5FMavDoCjgWVjn68D7+6Z9vJJT0cd2lZ/n0H99Cl+2n1B+4DVNkEUd1kpy2js7zauToJIIxRqOmiXZxAG0tiijqOCXFmdOeJVZw0WQ5yA3m3+SDun9lp+EaKuYllLdej/l9VzG7UuUfPnYN/xH/AKnWNgYfvI/O4AksLi+36H8AwDXN72ewXaakNxD29OGXKpw4LmGuJ6gLIhICQspE1qil06WnbMlRTiisJZwc0VqxzBToMwwxU5ohtSZSyAewSz20GQMMN/dT1FuIJs5hbFCoVusEkwVqVh2rq1nkeoFUuo66toRZXyOYTMLMGN5qlYhRYGYqjsdmJIvC1GSU11/SxkCrnZFQgdGxHMmCiWFPJ6/uGeAKg0Kr4CebKpFmjWZDL/q6npI0z/qajoStiD0TwShqOV4vEvJAPv8I4+VRQtkwbrOOlVKa2LYmcmKUFZdM0O+GpcPEyjWclu6XZLw+Fy90WzAAnH7S//HHjuUAgsFgDqC/v78ROAj8+fN9oMtlRvcMMZ/ONz6f7UWv47lYrdfoCjxhTBvKl8kVwGQRqaoqGa1Ar9sKE2cAMB08wKYWN7efXaWU28jy7rIZObC3k9NTUVxuC7qujZgjDikP/4Pv93L3wSuF/6v9kJxTiTc3YZydxLfp6SmVXg6WsyV8dmjQN2J12nA6hpgNLaGa3fgtz+z5k4wXaOvwEAg4UOt1BO3G/cPjtjB5NsyWXS1PaIiPHwLA+OuvYzpbxorAtQc3cXQpQcoSZssbb4CPfBDboQew/clHn1KPqtRJRWdpbNkBQBYbNrcRjfb57SZ/VXilzIWMqsHp9z3jOVWpk67JmOwezmQf5VRyioP+S9DUu/A1i7Svj6BLZrDuupjT8Sircyo9DV6Cyyl2muK8+TMfBQFu+difouluorCmw+k1IdRTeHb3oF2OY3fFOTHXzeCRKf7qoQ+wEvLhcuV4701jONxJSrJEq87M4o5eWifmMJaX8XUNMjWXwmBxsc8RRWrqZj19HLPLharR41EVzFoLUV2I6fAo+k1O7EdVrm//fa4uXsEt1f9mqfFBhN/bjDpyE7ff81e8x/QVbuW1HPjS3/PnH7mEtdoSVwq76Yi5iHibsASSaLRGlGoj+WKJ9WUH7mwC0WXG1t+AvLZOorWNZGEFg2BkjyNNV4uTQiXC9ep1fE4e5/vx7/HX3Z9m5/ZNrKyP0NO9mbJ/L7Z4kONH10hYx9EY/SyMJ3A4TKxXtbSsjrDe1ICxtYvKUpZjYjO715ZxeZ1oHV6i8SIWpwmLuc7kA8dov2Q3B80lfvBQkCGljbunb8EhtPKOS3ZxanoKs66P7UM2HhqdRYiBVS+R8lfpEvQoqQUSXR56lwVW7HWMqoRFtxuj2UqDPoGYCGGX8pQED2VrnVxRYLdkorq1m3B69QWP6fM1F86XQfvT3N76+/v9wO3ATcFg8Hkf9dLp0vMV+aXx+WzE4/kXvZ5no1JXKBcqj7chJ1c5HMmwx+/AIxpISDJnVpNkMkWG7nsQE/CgvgX56CJ+p4jJoqfZsqH1SiUL+O0GjpxZY6vRhgMoLqxQep7v93L3wSuF/6v9UC+VSBZrLEezaMoyyiugD1KVKklJppk1SvZeyo+1yVItM7aaZMBpwfBzMeFUVWV2Mkbf5gZCUwsURs9gHhhEbG4BwBOwcOTheXoH/QiCgOP2O9ALAvc1DJCLpehutPKDe8fp6wxQlvw8LES5dHAI7YMPkliKgOUJm8hSehKjo/fx8aIoDWQXxx5Px/KrzitpLpSyElXhmdtSygYho0Xv8PFn9/w2ANcNfZRYpMCNPT4OnziKrxjg0YSMuZ5DNLawkC7iUpK87RM3oa9I/OAPP81ok4eWsoS/EMcj5RHtJuJSmAZkRkKdzH7fxJePfgBV1bD/iimuePM8TruNelrCvZZkxd2GdzrCrFegs+udSKeO06CsU67pCSpxRPcjFIrttDo3ISBQV2ucyR/FruvALlqRIiFMigHJ46HNtYNrE20kdWPcV/kPEju/iG74W/zonr/hh6ev56r127l1eQGLVsPn74jiLn0RjVBDMZqQ9VCuC9RrerSaCh6jjKSaqdiqVC+5jnPmHFaHH7EcYCShMuwex9rl5PLlGrdqezldepSF9ZPMqYvsdlzEfVN3gmYAWd+AwTFFddxK0pRFELPUFIleVc+c2UVLaw8LoRwuq4hVgAVdC8ZIgkp5Coe7BbeqoNbrlCNZxoNBikqBt+3Zxcfu+gi3Rr8OwP9baOOA/rVc0enj+z/N4jDkyVXWsWs9+M15pOkgsZ4BbOkoUdFMQ04gF9Uy1XSSIVsvy2djdFuqRDoaKU+t4OjdSsepBSRBJKnE8LS0v6Ax/YvOhecSxF6ocBViQ1P1M5qA8M/+eWyL8E7gE8Fg8J4XWMevJIVqkePh01zRsh+t5qmauMV8iR77hpdJsVrjvvUkr2n1YtJt/AyKVMeSq/LQapotx45Sa21j6NItj18/lsw/LlwBqMEJSsbmx7cFX6xYVw+tPcr+pj3on8eD5wKvfMozQSLNnVzkc7CYMWNNp9G7XM9/4QskU8niFB3Per5Uq7NelBh22yhl1KdF5R5yWRhNFdjhsT3FTnF1MUVrp4t6Pk92fp5p9yBbozG0Vis6hxPRqKelw8VCME5Pk4j+xDGKw9uI6s00eJIkww62NoZYjGlxtvhAEChcdSXOyXEMjx5CPvgaYMPAXmf0PG4HVJoJYurtQ1VfefZqv+qoSv1Zo7IrtTICGmrJLCPCEscT59jh2MMW01ZS7gqViVNYcnXCtg40shaDpUomV8MQT/CuL30Iay7Ng+//CIf7W1AqenRpEYsljqOyyvLQ1dRSpzkdvJy7/6OPUMyD25Pnd993GvOmMI2uBHOzHexRZWJXXUkieIoFycbWtitZSVZQdgwjzj+CL1mGYhuVB7K0DK5Rn46iGltJ11Js1dixrhxmubEfSTWR3JREP1sjMezD0VBCs7afP1BbOWr7Cfem7ofr3s87Lu7lqoiBlFHm7+6FbaPLwPL/qC+9mRLzv/0BtPp+ysYsjWqIBamJDq0Fc+UcV6s38FX+ga+Hb+U3kzeR7FlBqYtMGpYQqwaa8hXKNjPWkkotKSIMQDSVxN7WSyhRQq/V0FXLUPH5mchWaOtro1wuUp6eYybjxa0rkmywYa7m6RRa+ft7v8qt0a/j1Taxo2EPD4Tv4Julr3DL6NcYNlzNPvlyvP0m4qUVrNMFpj0tGKtpfOcK/PbnPoauumGTrAoCVYOBqtFMyWakpDGjtTuQb9Wjpciq6GDgTBealjxC517UhudyBXtxeaGr5T3Ap4B/6+/v3wGEgsHgk8W9zwFfCAaDd/2yDfxVoqbUOJeY4rLmfZyJn2NXw7afOw86jYakJPNIJM31bX70jz2RHzoboiNg46J+P3uDKcRchtDlV/HkjYcWi5HVgkSr1Ug1lSL541sR3vh+ap4nvAXPN3m5QJOlgZHoWfY07jzvn3+Bl5ZCRcZlMlJX6jRv3kTkkWO07tl93utRVZWxxCSqqmAXbXQ5Op5WpqYoTGeKbPfYnnFh1Ru9KHKSAaebqUyRQddG3J2KVEVWVFbyBepjo+i27yJ7eJXDoon9lQmsuy5CozdgthhoaLKT+a/v4a3Xmdm5n4P9AR6YiRAQ4hTzfVh0ccppG66mNqZ29rIPMNx3D/LB16DUK9TkDGbnAADVRJx6Pk9pcgJ9l5+qlEBv9J73vvu/ilwOYzA3PuO5cn4ek2OQGmf4zLHPAPCpfZ+gUKpiM+tZGnkY8g5yrU34TTGmCj2Y5EXe8O+fxBNd59Rb3sb9Wy7Dkowguc3YsmkwV5E2teCsHeffbrme+24fQlG0XHn1HK99w/3IooFcrYZY9NJfPMXJtgG84QgNko9OncTUuVFaXAVKES3bHCo1vUgqWaTqaKFeUMBcIeWIkzHZaFyQWOy8lIb5c1QDw4janZQLk6QTUNGYEUUTlaSf67qup1m7l2PZQ4y77+cnbtBkO/mTY+P8JRp27ljluuuWadEv4i6EyJscCDaJ2bSVtvocqrmba7/yedxngwwsrDAx7KJoyrGaddFgbWQuUcJnbGG3VeK2eCunc8d5x8Bvci4bxyE00VEQKeizLNfzyPki6F2Ye3zYwyvoaQFVJKVbomEhwfWf/D0mrnkza6+7iQU1T7OqQW7sxB6JkU1lSJTtiKtG5s0nuTn/Vxg0Jt7X+HnqEQ+9urdyWrmT8dptnJZ/wml+QudSH1cad6Bx76TV34E/O483eBxdtcp8/06Mog5zKoJEFb1cxpIt4S7F0K488aCzEYDhUQCKdj2lD33sRR61z84LEq6CweCR/v7+0/39/UcABfhAf3//bwFZ4G7gnUBvf3//ex+75DvBYPCr56PBr1R+FuV2p2eIyrlxWvtaWMguPb6opCtVnKKO1YLEdLbIwRbv44LVYjjH5g43HseGVspw4hgAyR0XsRBNs8/vRBAE3EY9a8kN4SrzwH04Xn8VuuWzzPbtwAdoEonz/r0Ws8sMeQfIywXGE1MMeQfOex0XeGmoxuPETTaGLCLfm7kNh82CJVvBWEpiM1gQteLTvFhfCHWlzqnoKIOefmwGK9OpWRLlFF6T+/Eyqqoyliqwxb2hkZIKqxgsT81XphM9lLNBzE4fblHPSr5MTVWZX0rR2mTDNzmK+8AVjJ5cY/9lnUzHsoytaxk6fhzH/ksQBAGr3Uj9+MMAeH/9eqLFBKWUgt6spaHfR3gxy0Iigc1nxrP/amp2+0bIBlXdqNs19Hh7ygvz2HfvpTh+Do1sQFbDF4Sr80i9WkS0tDzteFVKoBc9yKEQt9bmOJ04zSX2HWxrvZT7Tq6yyxViriCR0XejRSJtMGONVzj4r5+jeSXIxMHrOfe6NyMtzyNb/PQbzVScVVoKKwTLrXz2L97CyoIXr7vAu177MD1XrVJ3p1nM5zHVfDRNZ5D7t+NfySNLEuFuNzXRgElsYnohz9b+FMlCJyW/haVsnfbYImI8ge7yTWiC05gLVc4ZTJSNCSK9DfTNHCFVGcRn1hLMp3E73dSNFfJ+J7ZagYutrWjLb2GH7tc4pfyQXv21FN9/N+d+fBlHRno5MtLL0LY4N759jl7LKlPpHC1dErHSDizFBAvbr2T3T27Gmo5QrTTgDZWo25rJpjLonEVCopbudAu/5rqBr6S/xE+TD/HupnezLi2xnquiSH7yZQeSt06PIYvZFEMsRim2XkQ0LNDU0MNFh29Bo9Tpffg2HnzD75LLVFA9JmSdBocphVnUcyUyKzaVz0T/gqpa4e3ez9Ctuoj5zLSZHXTlf5PfybyKOyonOWO6kwVpisXKDLbCPewpX8IO4Rr+/MFHKJusHP2tP0C26wjZMhjWIdvShiMyD06olaw0xlfwSFrybf1oYhnUosSr3vcbL8MofoIXvM8TDAY//nOHzj7p/csfe/4lZiwxyYCrl/yxI8zkl9kzvIV4KUFeLmAzWFkvSmiEjWTN2z22pyRsTmYlGvJhVHsfgiA8nqy5+eoDJPQ6Hg6nubjBiUGrodVqZDmZplZOU7B205gPk6uC4nK9KJorBRWNoMEh2snKOVbzIVptz+7Nc4GXnnpdQfsceSp/RmJhAefgFo6FT5FbbuLtN+7l3on/4lxsjRaHBan2hEeqIAio6lM97pxGB222py9+AEpVpl4oUszEmV2fYJO5FSE6y0pJwtzWwbS0yk6dGZN+4wFiPF1gwGlB91iWAqUuPS3lyc/asF6USFdqRMoSzTUNOxudaIOj2PbuQ9BoKBVknG4ze1wmHpRqLGR8dB0/jnPvXtZjeTYdO4TscJFu6OPQ2BxbjDLdQ/v5yWqC1w0OMnHXIdRqCzZ3gNjFu2i66wFqI/chDu9+XJtWnp/D2NkFgHnzEPmjR9ANelGV2vMGvLzAC0dVVeRSBK1jgJHoBD9c/XcAPrLjYwRX0njtWmrnzlIxOamUtAjuNfJ1O1d89TP0Tp0iuPsizr5rH0fXZjEqZowdVQyTK+hrCremO/na595MqWhk52VTHDz4MM4eB0IxCaoVf72ZwGycZdc2rGslVGOaZb+ORqePetWJqxah0Z1iPtlKxl4jL0NvoxWtbRvJ5XW4Y4K0uxFdq55ut4A5piOfF1DbRbpy48y2t6ONVSmWItibAhgdWhZXLai1Ok1iiEI9wAdsn2SqukzGUGDX799GfrSRnx4bZny0mfFRH92DHew+MIvfkkM0xvC1y5yNdrMb6D10mOlAE7GeYUrFOPZoFkfZj9rbSUmOs1e4lO/pbuG+2A/Z2vQ7XOTdiil7iJNKlZStiFGxUdUlWF2sIWmGUDMVWmx51qaivPPIhrWPsZhn1+RDiJe+jsVKhVZLBW20gGPTlcTWUnxt7Sbi6ho3WF/HG3SDxFSBHl2GmaSZTUoYtrewd15Ll+AhndczFniA0fRD3Je4jYfVO4heUecGeTfJbhGn1YgYM9LYmMWXnWRSMtOZLLLoDdA4a+SRzp3EZwOEFgIsztmRt6hce23tZRu72k9+8pMvW+VPplSSP/li12GxiJRK8nn/3PnMEg7Rjn5kkukmLYGlDKupZYYHLmE0Po7P5Od0Ik+j2YjdoKPR/ITdVCxTRhtaYWI5izO+jNjYiO1Tfw4aDcW/+Gv8ZiNyXWEmW8Ki11KqKSzefw+2jkZyhjqeSpVExUDPkXvRJOKUf+8Pz1sfFOQilbqMx7Rhk+MQ7azkVzHpjIjaX235+cUaCy81iqIwPrJOIVdBb9A+a4RyVVVZnl+kq6eDuybO8GsGCysZhW2Dw0RnF6k5NGz2DNBkDdBg8dNg9m38fdLrzOGjWFJJ1FgcORJ5yquWyZAuZ1hT0mwbuBxTaxsll5f1qWk8OgFjNM/J2AJVi5+xVB6tRqBUq5OQZDJyFeQUosmL9jHNWVKSWciVyEt5HEYTHQ47HVYjZ2ditGQWsQ1vQWsyEV7LImgEfA0bGjCvx8JyqowqqWQWlxAiEdq++RWq117P2PClpJKzXHrRTqJVLY1mEcWsR0lnCcdy4LDSLID5rjuptzTBpRt2V6qiIM3PYe7b8KwUBAGt3UF1NYpiKqE3/mpHmnklzAVVVanJyadpAiuFZTJaH2ulOrnFO/jCyte52D7MRw/8HSuxAnJsGmltjoSmnbpoxlVaZOfNd7Hj2N2s9g5y9t0fZraiRazXsPW20S55ULMq9zzs4xv/9QYUVcP+tx7m7ZefQXJ7sJsXSesbIRvGMl1g2esGNYbsj1EyN6BY+igmqrRYNAQjUPM20Wa0ElsuY/E4KSRqJPIVsmoNVzWEUwfYmrE6A2gMBfIBF1mXk3w2hiq7EcsqJpMTrb1Eg9hGKi6gEWRa/EZy9XnKdQfVeg5NyAauMPo9Kr81dJThjnFmc36Wp1sYP9HO1KwTRJmm1gxiQMB3ZoaGhUUWrjhAUMliqHuQXF0URIGO9WkM6QjVZIKyw89U9RS21TUMuouYqTfjEgvUo076bCXyqBQNYfQNXix5Jyhm2idOs+PEnSwM78YVW0eIrzJ13Rup5ZLU5RxdJR2lXJK7sv/JA9WH2GTYwoddH6TasQnRaSczPUuHJkvB72W1lELjDmNbUlHb2nBJA7y19fXYBJF8YpqH2+rc0rzOijSNqDhwi06SuTTapIqisbNqbGD9Hjc/PruXu3+4i9OHG1mYtVAqCfzaDTV6etRnHnDPwi86FywW8VPPdu6CcPVLEi3GKNfKuKfWWG4x0ZKsUXQI1OZm0ff24zIFuHVhhL0NbVQUhe6fS9Y8NRNFTIVp2buD2YoJz+lDuL95M/IVV1G58Y0AuEU9i/ky87kShnKahoUJlKEOJk8YaGxOYU1XsJ8dxbgwS+kPPwLaZw9p8Yv0wXRqln5XD2p9I4YQgN/kZTR+jkZLA5pnMT79VeCVsKCcD1YWUnT2evEFbKSTRSLrOYxmPXrDU8dANDiDrrGRU5kRtt45wc4/eDdqcyNJjR7L2hoWxcJqaBzJoMFpcT/lWlVVCM+Pk00UmBRFzA29NPZ3Ygg0Pv4KGSVKJi1DLdvQPOagcXZqlu3DA6iRMIGLL8ZfU1g5+zBdooVN7S34TCI+kwGTkrcy2GEAACAASURBVEXGQFTWESvLxCV5w2DWZsJr80B5Bb3Ry9Jsgs5qhGWXn6bAhhPHuVNrbNvd+vh2pqjVULPoWY/JVDNZmg7/FO/ICZLvvomHMbGjQ0FDGwkU/JUxclo7m1pbOXb6HIH2ZnztHVj+9Yuoigb5LW8HoHh2FMvmzQi6JywgNUYj1WSKuiaPaG9+0X7fl4JXwlyoSnG0OitanfnxY6pSZzoRxWDy0iHl+eOJT7IiRfj88GdwOXqZX1mmJblOpJalmnPgcCzTcybFzh/dTKKphbs/8QmSopa1okSr2EhS1FMbz/Pt7wxy34lLsLjKvPr9j7C5b5oUAkWhjLMsEou48M8XCdsCaG1aiqKGSmaQjOBAlWQqJYmCnKPbH6NacxBPlChVDRTiEtZGC6q3ii1/jqx7NyWnHU+lRmlshpDRhEdXxKdqkJq2YDp3FNXdSymv0N3YRCR+lqpgwClA3beJHmOWhfwC/YVGDG4dCdWIxwg6rwu9Oc4b+4N4LpPJJS0sTPsZH+lk8mQ7bZZ1cKj0T54l6XQQs+2koK2jOEwkciqJ/ibCHS3Yqhk64zYO6Y+zqF/hoOYyFFMDQr1Go19POWLCK8cJWJwsJVWyrnUSOQ03PnwLnvUlHrj6rVgLKVrnZzjWbqCuUXGsFigPbeekZoJvRD6PRx/gQw3/itnhw7A0xWmMGHV19DaFirdMOi4jS0kE+xbc6hpGfzOVVIk+xczX//JethRcTO3sYCI/yYnsIUYzJ8kkOggeOsD99+zk3h/sYWK6h3jUi81S4KLti7z+1WO88den+bU3/uLZSs6ncPWruzq+AihUi4SLURrnU6RaXbhcAZR0BGvDPqz2Pk4c+W9ipTrNVi+z2QSbnNbHr1VVlVi6RD14jjFdI5l8hf4OD8VIBoBy/wB1RSWYKTKeLrDLZ6fHbkY/d4a0w8XxoJGe2Fnmo2bMQpGCaeOzNcnzZ3f1sy3Bow/OU61uGA0KgsBO/1ZOx84+z9UXeLFRFIVaVcEgbggzgWYH3Zt8pBNF5qZiVKQnVOKJaAydQyC/VmD3V/8RgNaFSVZcHXj6esn1DzG85Qp061HOPPh9EscfJvno7WTGHqSUmmJ6IsG+Vx2gP5DDrAlxbCJCOLkRRX0iOY1O0NHv7nm8vvlskVYpj87hQGxtQ1peohpoQ9yxD8kiUzh9iuLEOKqigJzE72ii12FhwGVl0GWlybxh/yUIGlBVCjkJXWQZS1MjnW1NzGSLyHINrVaDRvPU25goq+TMWpwDvbiOPgLAvZY+hjel6evZT0mqImfCmGw9CPl5FFWhv7uJtfEFJutp5G3bEU8eR8hlqReLCFotGuPGlqXypK1Sy+BmqqtJZOlCUNFflloljU58qk3eqfVZWr2dtFlNHDn3Ax5Jn2GPbZDLLnoTs6tJxGKCysoa6dZOXNISVcXErpu/QMbp4dtv+iMWMs1MphT0OSfJQCOm6Shf+X+Xcjo4RHtPmN/+i1N0d67iyxhRDa3s9tvJakR6pFPM9QlYHRUGk9Ck6wB9CbvRQKDVy1CvmSZjC9piF4RUiKQR7Rn8vTaS6RDG1XEyrZdQa7BRLYpMakXCW7vpTJewEmDF1IklkUEYaKUxO4ZgqDAxU6ZU7kYTEHAb6iiJBbSmJoZbArhaTPgtAdwGJ2ZijEhJRP+VCHmBGzav8DsfPsFvfPAQmzeHmV8L8Mkvv4u/PfOH1DVauk+N023M4jHHMNWTOFt8GFdhp96LvPlyst0D7Hb9BpJS4lvpL2OVRqjVs8ilHBpznPmahbFSD3sa6wyV/YjlMJ2nD5H0+UgfGGJy/6sBuObuI7hzWYoWP6fiM9w8+yfoBJHfaflHzBo7oWSVEX8327NhOlodpK0FImmRmqGKLtVM2VemarXiFgyYyTFwdBS9ouBvP8jrLZ/kxtQX8YdeQ6wa4hHjZ3lw+ztYaf4RLR3LXHfdPXz67yf59BfPsu/do9CnkFRf/hy7F4SrF0hNqTGemKJ7Xaba2kDRKOAOZZCcPhzOPCF/H9aEj4Wz3yeaVMkmVjkRXGd0NsHobIKzc0nOPnIGR2cnQ51unJkwM2sZ3GMbsVkXu/qYOTVCh83EsNuGVa+jpRQkqrjI62w0FFNkrtxELlSmrpQoGR9LJHqe7K4K1SIWnZnQSoYd+9pYmX9iAdFr9fQ4O5lKzZyXui7wwlhdTNPS4aRUfSJGnCAINLe76N7kIxrKshCME07nsBj1BNNzXPKN2zBkNwR49eGH6WlyEK6b8BbSrJZiuDs99G3bTLhZILt5CEvrNkLHwnQoBUqjI7Q3XkzRAMONCfL5KN85chyHxkvLk+zwpHqd3NIyDQMbzg9iUxP5cJhYocwufxs4bJQHOzB2dlI4M4K0uIBa/bn0T09CELSETo7ha3UjNjXhMOgxabUcPbbM4Pan2v+tRPOUpCrXbGthNpfBG5wg3dyJr9WLVqOi0RmRnCIuOU26qKetdQfr0XPs2TpIPh8hU9JTfdU1aGp1snd+n+LEOcybN4zac3KNB0IppNoT3kmOzfspBE/88j/mBZ7iTDGeSNJl1eM0GlFVlS+F/guA329/54YDRHEdKSqTMOQInFlE7nfQd/+G48JD73wHkX4fntwUNiXH3mYz8yNZPvcPb2MtHGDf/gne8/EgOusKvoSDpMfGVn8Dar5IczaM0BOgP2vA09TMRKeJZG0RtS1LRSrgjkYwJGtYpSw6xUWXQaK1s4P+Zh/Z2hkgzKrQzUBZQ3OshNigsNWrxVE2c9LdxWS6gHv8HOFwgRVrL7qeXTjzYczFNboseno0jSyYTJg0OpZLblxaHUW1hKPJSEDMMJmy0y+2slBYJNS/D2E8yqA1x05biPe87Xu8748epX/TIkfnt3O3cpCm9XkSFRu1moBOU6I9l0IwSKzPJJAUBa/ZyMW21+PX9zGmnuCzsb9kvLCM21GiQZfG4VFp0YUpFqFsy3Hj0iPoanXODV9EMhNh6aIeSmYLbcFZuotFDNppfrT8R1TUEm9v+DMc2k4W8hLpfAWxDkmXjVlphiarE+1qCmu9QNrtoCiXqNq7aM88ir4xzpYHH6Gm1fEV3dv5h49czw//+feIffWnGL4yiX/+rWgdIXjt75N5xzDy3q8SMp5kOaVgzPnQSUlE38sf4PeCcPUC+Jln4EBMi76pmVk1wWbPJsrRWepGE0cWojS0CHhFF3LVwS5HnNf2dqDaI2zr9bKt18tgq40GQaKoavEsjzM1s0pbKYz+5FFqBhHnta+ju6OF8tHDVKIRcjMnGH9gBtf6DAZnA+XQaaLhY6jdm8glZfROAwBC/PzkF1zMLtPlaEcqVzFbRUSjnlLxCXWp2+jCqBUJFSLnpb4LPD+qqhIvJRlPTDEaO0cwHySYn+HM+hzjiamnlBUEgbYuD+09HpYOnWKhXsc0GWXgtu9RDTQiX3I52vV1bLERolTQLY+RUW2YnZuwuAYYbrkMm8HOiLTASk1P169fj3nTIMJEkKJaQ2vvJatZ4jW9elLJKqeDcWqP5fSbThfolotorRva1KqisNbeR8vShjDe6+pmNR9CNmixbBvG2NFLaWqS/OmT1AtPT3mTmKvgMGUeNygHaLGI5AoyWvMTN9HlSJ5ypUZ/m4twWWbr1AiaWpXY5QexrD9MJdGFqqpUKznSVolTK+eYTcxS0HqQcgs4bDoqGYnIxVcAoL/zJ2j9fgSNBrmusJAvcVWTm9knpanS2mwIOj1y8kJez/PFXLaES4lgSipUkwmOnPtvDhXOcpG9n0uGrmA6+CiVeARnegrFIFB0WgjXGrFPz6EIAmstB7Dpuwi6irTLK/z7iQ6+8/+9hrJk4M2/fpy3vv5B0IYxphuwmjPoBTeKGKQcXiHR1II3ISMHBsnJAZo9gxh923BIdmz+EVZMy0iuKrb2FlyNNiK5Cqo/hcNmYJ+2lW5HL21VLSejIdShFDfuHSYc1mO3SGzp9aFxN1Dq3ozdn2dwKczRZYW05EFbLBMtLWEoLOLQGpGzKeKxGpHsMLK2hpGjqDY37WxiOp7EqdjImeOseHuIja3Rbp9jVWyg2zPOb7zlNB+46X7usN0AQPHvl5keuQI5G8VXTaFojCTtVcSVEAatm5bFEDeYv8iehveQJs33Sn/G1xa+zYLRgKB6MVSs6C0mdDmJwZ8eRhUE4lftJqd4GNfInN1xAGMhh+nMFN8qfoeYEOYK9UoG442k4gmsQgHVXIOFCLnaGZySypEZHXGi5NZ1yMIaplIFbSFOwmzA+2gJf2SNn+iu47v/dS1yTcuWyyd43ccf5d9/+zt8cPgy/qD161yrfRU1jcI9tR/wH6n3caT4BVKlEAZ/gKq58jyj7MXngnD1AhhLTNIdB6OvgTE1xI6GrUjhNWSzjrUSBHx9+M0KWo8Wo3MHkbU1QEO3XsNkYhqAmfseweiwkZhb5HDFTNFc5vChIJ7FGZKtPdz2o9PMnVkiWhJZuutBHhzJUNK7qWs8rEYWMYp6Knk3Wss8c95BNMLGwna+NFd1VUEq1jBbNwzXm9udrC8/NRlmp6OdWClOsfriR9f/v4aqqiTKG4LUWHyCsfgE48kpqkqVAXcfrnwTVwzsxqfpoBBzYhO8HA+fpq48NbhlSq5hdVRp6vax5e++hKZeJ/OXf8yiuGGTlT2xiKO9i7mkkUarjVBRevxan9mDdtWCo01lNr2A1mJB7/NjDWc4tHaEna1X4PRup9dfpNub5MxMjMPBKI61ZSxDG9oe5WchFwJu9C4XcmxjfG73DzMaH0cqrGBydGLdug3r9p1UVlfIHT+6sV0IlOMJKpEktsGn2k+sLqbZ1OFmOlOkrijMrWWpVOv0t7mQanUS6RJthzc0GeXde6lsbqZTinP81BLL8aP0+HYw1N1FLapnOr9KKT/P3m1byWXTHDM3o3i8NB4dYc5URFFVRpMZdGqI0fg54qVl8vITmjbHpkvJzx19mnflBf5n1OQsOsNGatqVQhl9LYWzUKMuZCkmJ/n8sc8C8P7A9RgdvSQLIsUQiOkMK55+tJoqa2qN3oU54i29FAwiiZVptspabn7wd7j7P7dhtpT58Nt+yK7XhMhZrMg5PRZxjimziNWVpmFhnmz3bnyrWeaczWhdPvQ+I0mpTI89i9thpU/yYzc2UMn4qItpFjInqfXG2NfdSS1SI16BTQ4/3ds0XDrcwsKEm5vvPUfvfgG/aGSfPk+PDMWKTKItQKSpn22mEttbTdjrFUxrMkeTUMhIVMx6rNVpppdiKEKWWdlOn0PBJIC9HiAkrVIU4+TqUfT5GqbAMN2ZHP5AH3WfHUdXns6/s1DRiryx8l2+863d3PyP7+WOeAs2S5V6WqKQEBgPRSlJFfp1Bt5k+13e3vwv+LXN3C/fz+fW/oqF1CL1fJnwWRHLSPL/Z++9gxxJzzPPX2YCSHjvC+Vtl+lq39PT4y390Ax3uSFyKa5ISSuz0u3exW3oLrQhaVcbkpZxkk5u5SmKEkVP0Q05fqa9qe6q7vKFQlXBe++BzPujyaEo2uGK5oJ8IhD4Ax8SicT75ffg/d73eXAk4+RmZ9GOBzl8qMGpARvXHzkDwKet17nGOnPiMIeNjyH6h1hs5rH2qoxYbHgMGUL1PvXEOLpGjJnBKazOFgGzhEV/GE8yz9X9EMpfJgD4n+33cejeKO/+1au8/ediTE4X2PIE2Tb6MdQFHui/kd/mt3iL5j3oMXOu82n+WPl3XFH+OyHzD/5P/4/J1atEuLSHM1nFbHezK9eYtI+hFTVUt65QkSxkJR+aPqwXneSkBpp4lI4yy+euXEWQRtDVo1x87jkykTgrDQn3/fNYejkmvXZe40siqCryA/cwfHSCiNWHPDPJLfMAgVSUkL1G3VzHUTqgMWFB73CSzR4gmzRUB+funGD04H/5O9a7DYwaA6l4Bf+AlUKpiiAIOFxGirn614xd9MyzkltDUZX/5c/9MWC9sMVKdpVbuTXa/Q6HnFMc9sxx2DPHgnuWoNmPgECvq6DRSuylqjx2cpB0RuGo9zBX0jeodb/6G8UyGfr6Ltqnvsjw6nWqC3OcN46QmTgKwOCFF5l1W9EaZOKZMjcLVdaLNdaLNW6my5RSGRYX78NlcHAltUTaKtCr1fD0ZERBRBAEDNYJrPZRpn15FLHKfqxOqnaH5K0Wa8w7zEiCgGF8gtbuDqp6p5bvqGeecDH8ipSBIIroR0fpJBIUn36KXr1O7OXrjL7mXoCvIS/7u3kaOolursk/XN4jlq0xMXBHCf5atICvq2K99CI9m53yqSCZoovagJVq6Sqh+giXNm+xdTtNQ19Grue51oR+5wBVNGGx9inMH0VbLCLdWuajO+fRqAkm7KMc8x7mhGeYZ6LX2Shso6gKoiQjD4Wo3/pxHeJ3g24zjdbgI91s01dUHPUoNAQkl5ktbYWXe9ucsM5yj/UB8jeforwcR05G2J+yYmkW2FKDjG1uoOl1OQiNkE9kqIlN/ttf/CTXXphgYCTBL7/7r9Ac2yPKbXpaBxpFg9VgIZTqcLKYIOU4hHnzFqrdhtYbpKRTqPSK2LV1Un0vLgnqlmmGMgUGQ6AqAs6Kkfvcj3Pp1gHR7m161ipx+zYnRhYQugamTUbMBit9zRCGMRsXVsOIUhNBzdENyzQNIprFefLeMfp6C65kmFGzF0OggeiZwme34A7tsBYfYzcNm60WoaEN+tUuOo0BV1zG0FVQjt9NdK2IqpHJZotYRRMOvxeNz03yxCLj7PLTUx8iHgvyN//1AT7wR4do9Y3ohCyuGoiBUUL5dXxiHl91gv9o+R1OS28ir2T4w8Z/5POmp1F9WuZX7kgERcaH2N80cP3TJ0nEJjHMKXzoXi//Yy6GCxv/2fAeXjNnwqC9Qm5Iy5i4x3D8CwQM28R6x/BrryM5BQ7UFpWAC1MnhF0x8jefO8Ff/F9v4fXFT5PUBAj8TpOHH1tnzNbH2OozfWuVenMIe07EU80iuCS6Djv/xnqCXwp8iLdrfgGn6OLp7Bd534138/Gtj/xA4/pHqluwvX4bxeb8roUS0/UMzb1dgpYABbcBQYCA2U+3VqZRvs3F3DhOs0RJXUe227F5R5hu7iC7p1HbOW5Fy8SjJirxFRpzJ1BEM5rMHkqzSNYwh+ezn8K7dpunZh4hb/YQS7e4tbPPWNCKSS6S39mmFOzTSWnQDz+G1OuQapUJaSXEbJvhc0+TFUSkt7/jm37H76QbYrO4zaRtnEqxhSr2+cKVC9hlO4Ggg9heEZfnq4X5giDgNbpZzt4maL7jiNQtFKi8/BKS2fLK1tAPG34YOqT+OerdBpVOlTn3DD6TF6vO8g07Mg92CwwM21mJFFgYc6HVSNRbPbSShgnn4Cu1cI2+lsyN55g7fIah9/40umaT8gc/RDSbxn7PGwj+/Z8itNt0f+pn8A14SF29zfzcOJIoMGY1sr20zexMgLSgpdoVidVbpOthzi6+hur1q2iDQeQv61YJoobtppHR7DZDh4zUugau7ZZwmGX85q8Wl2rsDprbm+i8PiRBQumUSHZbuL4sMFq5dhnLvafoxBLkXjqP6aHHsdgMgEQ8nSSc6rEXLZHJ1jHaDWhEEbdVj8NrYitcIF1tYhNEBqpJXH/8u7QeeZDwo/dToofQNuFQaoRrGYS8B61oRVdS8eokklo9u80EThEa5SbFVpnJy5dp+YZpnT7GXcHDaL5MAmWNjEHrwqTVs1PaptQu4zLZ6deqiKIOyWj8mt+rk83QScTplYr0K2V6lQr9apV+rYZSb9BvNFBaTZRWC7XTRul2QFURNN8f/azvx1y4mLxGvlWg2qni0Nu/5v7UbeVoiHbyrS6B7j79gzraCSeyaZD/84X/xG49ym+MvJdDJx5lu6SnubSMqVNiP9hHX1OIBPU8+MVrjETW+cIjr+dKb5BP/tnbySddHLtnjX/9mpcY1Byg0Ts5lpdJFfqEajdopXscOmKmaB+iu7lKwTaLfrSJXTSBCJasjrbNTo8eVfoEXQGmx3zcjj2HsTVOEImiUUCfK6ELWDg1cQRNy80zqzdp9wuY/H08ZhMry0VyLRHB5iWdWCNTquI1DTDqNmH2mwkE7YzODHKpXMS6dZOmmGFHF6He6aBYZJqGFJ3cMPmKypBrAbmZwlboUm1W6HpHqCVz+Lp1tkdn0CslQuUD8I4QzhbQmAPMXvwSgYUe1tfb2YsZiWwMcuPlECWbzLHJNYR6i1YdlGoPc2IXU7aAz/cQ95tGWG+scqN9ieXCOV5zOUqwrHJ3/CU+9qW7uLAU4tkvDPPCJQeffOMfINHjj27dTcd8H+Z8l5jopmhV0Jt8SGKBHWWc0d1VLstW/HUXSbWIoJ/i5c8N8se/M8H21iA/bflr3tr5OLdedwZl6m5aGh01MQ/VNGpbR0924/f1aGQ1yFULotNHtNfDVCszMzLLg6Z7GDPNgV7Lw6MPMmIbfVVx+mMphu8SNr+LwvItdN5X7zdU69aJbi4xZgyiDgU5qMY45Lpj3Jq/9jHSphMkGgKa2hZB4yCu+CaJbBqh2qNukSk2vSj5l1js9ZAXHwLtFv5els24SLerpamUOf6xD2Mp5rjxvp+nkiiBU4PeImO/fYnWkExC20Tfs2OvWbCNqJR0Mo1Kkb6uh1fvYuRzn6DoH6A5NIQ8NPwNCdZ3EjzJeho1L+MbsHJ5bY033HuG5f1NHDo7VpuBQq6OxfpPFkxRQitqidcSOCQzjdsr2O9/kGZ4B0Gr/brF5ocBP4zkajW/wZxr+luSf0VRKGQboNegqioOi8zF1TQqKlc3Muh1GsbdA+RaOS6mtpmpldD+7V8QfPky5SfeytpDp9HXNdiVJqbrlzCEd2j8zM8hmsz0kjE6JhclFNRmH2IHjB6dx6XXUWxFGTRbaBOg0NhjZvoutl/6HL7xOxnTQquL2u9hLVUwjR/FIGTokGfpdhuNJOK0yKj9Bn21SisfufPciCBrZFqtPM1Gmv7+DqJZi2Qy09oPU2o2KeXS7LXbJHNllFaUZlvhYK/A4KCWI9M2Brw2BpwWSt0eBhRuHZSYG3bS+eu/wXvtHPmffBvnB/SEXAukIjU26hFscSNljYFcs43VVKDVCtIsycyP+7leXmInEWP8zMOM/+3fYur20bznvWSbOeyyDVW9Y9Nj02mIVLsc8Qxh0hhYL8doS3l0uyXk0FelIZRul+bGBvrRMUSTEVHWI2h1CJIEgghfNrlVO12UThul0aBfq9GK7CIaDUiG7/3c+V7PhVQ9jVVnYcoxjizJbBR3SDUyqKhYdGYq9TyxjoEZi0R19TKOU4/Sbaa5EH+Z3771Rxy2zfGzh95Jpp3l2hdvoqgNStMSosVJNq/gzDt49Iv/gKFV438f/G986cOvpdeRedO7N7nrwVX8ao68x8lMYo9ox4zX3KfjOELKXMVkzBPfOyAz7EU1GLAbM1SlBXRlibZVxqPR4NDEmQhNoZczJLswYF3gQuQ8TZ2FWrRA3NFhyr7AerhGu9Zn1OrlyOQEQ3YfGmMLk6tGsZGmkjtHVW7QFrMYi3EUaZ9Ycot4bod4dI2mRsSXLOCuyBwtGRAVHd62E693ipZtA7Vh4WC3gavSodBVMA9ZKWYlvL4SBb+H45F1VssGdOYeSjKD0TzAgdXA6XOfx5faQ/zfHsA7HcUmJ9iLDLO3HODa7UPMn3TgtBwQbshYNDpuCzPsJzysLT9O7dxPU2k1qA8/z4cXGqyqc4QL72V+oczcPWtY9QkOHnoXPWuS3/tHA699oc7P536dREOk4xHR6dPkLAL7Rgl7p0bFacaVrRPxOVlfDfKZ95/i9tVBZH2Xt77pKr+Z+iXMtTIf+4mfooqIYC0xZKnj301QHzkMfQ2OTJL+ghNV1SA4XNitbhyVBlmnTL/bwd4WeZ3r3/LAkdOvOlb/JcnVj5S0sNZiQe0r9JtNJIPh27/hy+gpPVbXLzCvDSJPTHAltcRp/x2fvXY9BYhc3G+j6WY5dv9pRFXmFnaa1Qwd9YBQ/AZTfRd4jrKeW0ffEdg5MCH3qxz1RKla76Icz+Hd2yY3NIbWn0djDODbjyDoBVojGtbKNY7YfUhxF4ZZgej1HbbMAUJuP/Fmgokv/8s19vrku2VqS9ewHD/5qq/RV7YE260uuWwF0d7hUuIaFr+B/XiaqfEB6tU2iqK+on0Fd+pzSu0y8XPPELr/TnuuefEI1evXEDQSGpv9VZ/LjxL6Sh9BEL6tdthXOgSXdvKcnvNx/laSxX4Ky8QRzAYdOq3ITqxMvNSje7BDuNnkbR/4BF2rjdJ/eh+xrMyikiHuDuEYn8W8vUn3Hz+N9ifehdMis5qvMzbm4MpLt3ns5B3RzHBpD6PGQMjix67vcSvfY6ceRRgeoLJ2C8uheQ7qTSaiYYzzCwiCQFYIkq9ouXe6xH5mn3LxAEQdgz4XwfkHqV6+DJN22poxpG6Pa9F1QrEG4twcwrNLpM3z+Kd7uLoVYrk+usEhJESOjc4ilPc5uRik163Srh2gqj1MuRoXGxLvuHeBp6/GeP21OxIMS4uHMTRc7O3ECCs7uIuTqJMOxpPXiXubLGUG6Fg3kfVaqlecnBx/LRflK7yc3+Lw/CEGbi7hacCLzX32S1tEEi/wpsVfwmnw4NRrybc6uPRGjvkWKeVXCIeaqFc/z9ETr0ESJRq3VzAdOYKo1b2qeDCMT1C5dAHN6TP/IpZEP0gk6mmOee8Y0Jt1JhY9dwh5qp7havI6+5Uej40EKa18Cfvhx+g0k6yW9/mD1Q8A8Bb3Paz38miuldD1+vSsPhqmLJWqiktRqWogkNxjKXiYFz/9IBZLk3f/4lWMhxqYw0XsxSQWwwK3nScwqXXKxh6bUoFj4yo3i5MoA1WkTpuQt0lHHKfZS1PoNzFIBgRjmxx6CsWXGLENMm61cv1cjmNyiLxuj/acxJTmEJFivzggmgAAIABJREFUjAmfjaDZjX/gq0bldnWIXCeLvnyAaD6G2ybh9PTJR3Nocx3mZmbJqB2MFit+1UGFbaRYlM6QH50sI69dp1NoMGEZYtN+QLDdJZry0nB4MCfzuF0H7IlHCWg3SLsc+PYKlDVBgo4kLVuHqmxl+cTDnHn+k3RfXGPy5AlqD5/n9Xd3+ODHZzi3NMGv/98THD3tQukU2I/4KZW+qsUoigr+0q/zc6l1/uS+l/jEQ8sMPX4X99nfjq3Y5pOzn0JVN1nUvIXBmpEBPsTo+m0+sv5G+Cx4vBXGF6OMHEkycEZHsVckmhN47rfn2I+MI0oKDz+2wf1PvsjY8xH8qQOiM5O0/Qr1rMBUp422LKP0vJSzHaZCFVoGPaPlNtFBM8VsG50kYpwY4lA5z37gCCYlR7LyIjD3fYvxb4QfqcyVySTTNdmp37yBPPCNbTz+OVRVZWn9RaYVF5aFw9zI3mLBfQitpEVVeiRufoqrrXEqqRr3PzqE3WDlY+svgtXAkbEJRkwSleUVdEEd6WtJ9sxOmoUsqCIuq4qmJaCTsjhya0w/9Ty3jz7E9cnHWLQtU1QsGNIxlobsLJZqRHX34CnfYlXWkdd7GCvFqVtl1H6FnmTj6BefoqfRsf/AvbgmD9GORND9M1fwb8fMN4vbhDSDqIrKUnQNn0uHfLlGs1TioJenui+hN+iIbOXodvqUCo1XHp1bMSIGHf22jkqhTTFXp2t2oUY20DkciLpXt8B8L/HDlrlaL2wzZR97ZevpG0FRFIq5BvFam9kRBze2s8ybu/Sb+zQ2b+EaNhJP7hEyH5DvJblL1THztx/EtrPH5r95B1cGpxH3omzpHBSMZbyqDe8LT1GSZTRvegsIAnaxy4WdCu5WmuGFWfYqB0iCyJD1znzRSSKyJJNqNLDZLRRS+5SaEkNOG0I+hzwQQlFVLu5kOeR3UOuaiKT7uF1udDoz0WyHpe0cO1URKgl0tgEsRi1DmRTpKT3TisheWiHX0WAf8qEr55gccuGhgStk52C3jNliwuWzI2lNaGUnCjYu3qgzPx1kP7aGtl7m8O//NrnQEM+dfR3dfJ6KlGDercPhMyDVCuTdZTybCdzGJu2UhFlyoRgcmLbCCC4bN7M3eNkR5i+H0/xK6i/5wNZf8dGtf+Dp5GWe2v0sbxh/M0GTnZ1yA5/xTtOHTmfDJSmYO0bWyzvkmgWMDYWC9Y591KuFxu6gsbmBzuf/rmLqO8X3ci7kmwUkUcQu277uNaPWSLRU58GhaSJrL1A0SsSFDtvpK2h0Zn5r6f0smKb5L9PvwhPpsRMBt8uDpJVoa5roMm2aHGZh4wKzt67wh62f55LmLL/2a08xaIhjiG/hq5ZQ3QvENUb0jSpOoUylbMLuarCfH6bYaGCq23BpxqhJYTJtA2LCitHu5mGvnWwxiqvW5x7BjzHf58LlFJ1uDnW8hsMboFUxYdRrMAg9NAaVlqFGupElVc9wK7fG9fQyQzUtdw8dJTA5hdZQ46TvCAk1Qz4jIrX3kCQjkk4kZHMTVrRYqzVs1TSmoTGyARv2epGaW+XIdpGooYPsENFlBMI9GceQAZ2mgVoPoGSXMdp8VJwjNAU9Q4UVNM5xMmKbUy8/hyx22X/oMGVxEE01yfQ9WmYDt0mkbGxueEinnIj0GV8scuqBNPeeusq73nCBux4M88sf+XPeua7nyqnj3FJucKVxnqJQ5IayzoR2nF/UPUH/TIAjTz3N/MIuuTfPIHZ7pOIO9rYC3L4wxrOfGmDtuoNzHz9Ouejk6NE47/4PSzx25hmKURsPXPksvvg+L/yrN1Bx3keqbUdUzZizZTrOAXRyD1snSXEwiDlXp2jy4DF3aXS0CEYD5mKSnsMLggm7PcCYx/uq4/XHmavvEjuFGmJfQevz0Ukm0AW+vUfe7d0rjNRlbKeOslOKMGAOoNfoybU6ZFPX0O43yCoqg4tGpl2TfPTmi5wcuZdqJ0F5+UXamgHqzkMk0vsY75qks6LS1VxlZuR+5G6C9Z6NSXOe0dU7+lbxyQUCjU2iOhs+r8BVnZHFRIq+ImBUPs3Nup+ixo7PI1JMpmiWQwhaib4tT9NixVjMU/As4o7cxDy0SGNr8xXbju8EfVUhm6yTaxZQPXWs6yp7so3ZQ+PoDy6SU67g6j+A22dmYMSBVnun66y5s414eJDpgJ/LyeucDhxHFEQ67R5JZYrk8zfQj47hCTmx2r/zrOGPCtr9NnrNtxa+i+4WMbmNtGsdwvEyUyE7vRtPYT/7GEq1RW3jKmaPm9WeB6dHj/3yFwk8e4HGxCSbTxylpjcx3VvHNm0ltRPm9qiLOcC6tUa22MDq89O4fp1aos/i6TmuZw5wyMor5uNfgdego97zkqnHKHtNDEcOUPJprMdPAHBpP0/IJBN0GdlIRXndXWNEklXmx75qE9NuV1h+KU0qW6FfKKBXJISqn0+dP48+aGN2oo6maWb4vjM0rlxCGwjSSzYpZHIcvfvEK8dJJypsrqWRRyxErkfZaVQ5HfsiUq9HemGOvVyWgDdAyDmMVjAT63fRWW6S2FSoljXkujlKxmvsRKIciHGiUoZW8cs3VwswDb5Wm6O+eYIGD3W1xQvpi7zuE4/xySc+g9fgJ91s4zPIiBo9itLGMnUI4cJnKAlJIj4zznKXdr/DhP3V1X9IZjOiLNPN59G6vr3FjtLtvOoM2fca+9XYK1mrfwpVVVnOVzlkUlDTWYJ6maxvhFJlF6vOxu/e/msAfsr3BJ1ojFwjRMdmpKg10q+tULX0CaVtJAfaDB7cqTH8Qvd1/Ks3XsSqZgjbNOiVEG4lxZbZSjfXRC9bKAsmbNYo1v0SFauRuyULWklAq03QVw1YK7DmijCj0bMTa7ArHuK4y83L6RrFRgdHyElOs8uQdo5MtsJbF2eJhQv4hi3UNRUS9TTRcoxUPYvf5GFSHiCZKbJrruEoN1grJFFUiQcH7+FKewUpPclcJ8t+RktcDFOjQtNWZ1ud4L69m/SPnqXYqWPZirPhd6Cr2mm3SrTnqmgrg6zHzQybsmg0JZKLr2cyvUS/XkR0e1EKOxh3lskcm6Xs9DJw/Sb+rSwBS4HVfpSJjQMcwUnsv7FL5PwOqlvD6ek08vo5bDorUl/iRs3J6fw++kaNnXuf5En9vXgNAZ4pfIEb/dtYBSvvNP0cQrNFwzxAYmKc+dUrPPyGZ5n95RHM8Rxb+zOsxqfYXvaS3g4QGM7y2L/b4nHTFTqixHbJylQ6wujWLTp6PXsPvIFy2YdNW2MklaYrSWimQzjzB9SKRpSahppHYMymJVpsEwzpiBcqZGwClvQlsk4PE/rvLHnyvcSPFLkad5i4EE6jdfpwrS2j9Qe+Zco9V89j2E/heegJcs08iqogS3ZW8lXsjQj2jXVuuxbp1xQemV9krxRFUlzUckWsaxEOQg5UXQ+/zoijPsCtQhmt3YzTcoJs4hyueoCpQ3Y+m7vAkvVFfn8YumMddmQ7glklWlvHHZCpl7zolCLdZR+OI2PY9AK55TJSyUqBJNpACKkYpWG1YI7sEit0mdL2kLx21Fib1t4e+pGRb3t9Gt0mekEmWUuR6WV4WOPnWquBOLNHKWfg+NnX8dLuSyRjl3BlRthXFCYO+eik06i9HnLwDlk94p3nRuYWx32L6GQNw+Mu1NGzlC+cp2kzkM/UUFUwGLX4Bqxfp7D9o4b9SpThb2KI/BUoikKv1yecrOB1GDEbtMjpLfqDQ2TrNSxqBn1wDHejwzPFEu8yGrH/6R+iCgLp974To/MRWvsXSQe9NLZKaIefIBL7ErVgCPNuhNtXzmN7/FH2khUeDRm5li0iuCSOe7+qut5X+kjiHTI9ajHQ6AUIV2p4x6F9YR1OnaZQbZEtNLj72BB7yQpdfZbbpTq0Bu6om6sQzdRIpHbRheZph8N4NG2qowvUrryEfsBMUS5Qbs3TbYRJv7TPwrAZoVIg19Bh6BfJ19qUEwXiO/tI+iYlqYknnaTQUpErDjzP7gGwdPgoY0NtYrkCse4VUt190q0o0XKGWitB0VBFRYUGoAMREbc8yHHcjKoD+NoBfuHP/p5gtc+lD/0HsnYHqb01vKMePhL5R1778cf41Js/Q1MJ4NSJ7JQj9BpZxFaDydGjdJeWcZ19LSuZNerdBqV2+RtmcL4VjNMzVC5eQHPXt94eVNptcp/8OO63PflDQ7DK7SoW7TduaFkr1ZmwGSFbp5yJsO8xM0QPn05mW3azmr2BSTTibnVoO2bJZ0rYShn2U1qkk000meOo4gE5s4XR5WXyOMmODPG+xT9jyzOAuSsyky2wN34XQrXPoqtKo69Q1lnJ950UJS8Tooh2fJxWo03MXeNxh4/dipdTwR7VRph4CaYUkaBJh2PSjV7WsBZf5sHxORKVLG+cXGB7LcPopIuO2CZRSlNqlfGbfDw+8jBrxTy7m9cYmBjGrVFJ1uO8a/p+9uo90s0+d08d5TOxSwyPHmIkv4d2V8A+v8gWaYSNFV6y6xhfe5HFukLb1cGonWa10cRkN6Kr7BGiQrKqJdH2IbvMTBf3SfhHGFq+hVoKkOhbWMzeRpPMs3bXSc58/nPY1m6SuP80+UknIV2bqttMp59Cd9rMWF+l6NVS1p7lTLZIoi3jr5RZ+OQnANiZn6ehbXFaPcFR+1Eul5/jyMw7OFXuUTN76exm2D1+D8GdMEPhdZg4Tny2zCxb2A8VOP2kSlvUYVZkrJooqyUTY6Udhk0Szl4Fc6nI7XsfpRVTyRs7PFbcI+ebQtEbKTV6HO4csOyex7e1QfHsWSrJbTSuNrvdIg6bnV51BGN6j5B3lJLyg6c2P/gz+D5ieecGE9Zxyt0+Yd8gY6u3sc0vfNPx0esvcfiux+j0O2wU9rDqpyh3eoyX92iXEzR0DtbaGk4NmtGIWs5HdqnUA5RfXEZ7wo+sFSl1knRaMTRNE/Guk2PDayQqwzhMJvK6Muu1l/hA7KMoToXX/wT8ij9JUPVRSFewqXoGZYFOq8J+a4JBYlwQ9dg343g7+wSDPXbrZTK4iTcs5Aw2fIqCo5unPn4K4eaLOE++jsbG+neUqQuXI7Ry0G53GfUZSey36Fsy+DUm+mqC9H6HY4FDbJns5DIFjMsrOPshtK0qlhOnXjmOBpnzF3oYzu4w++XFWRBFbGfupnLxAt67ziBoNDTqHQ7ChVfqt/whG3rDD15Z9/uNfKvIsHXwW46J7hapCeC2G+j3FQYCZjbW9unM30u/nGDcN43dqeXahS9wTDOA5oMfxBgOU3zoEbILR7mZyTHZtrAuZbDrPXi7KpJ3ge3BMY4mYjguPs3W2FHEWpnO0QH0jR5ejZ9YrUXIrKfRbXB5fxmXzcpXBBFqXT1+0wDb659k8tG3Ur5xgy91HDx5ahiAtWyY0+OHSeXaXC9skTxfZ8RnI+Q1sTiix2gPUIzfRh4ZYau1ht1l46DdpW6GC/UrSNoeRsnOjWsC3noKSTBiDRbZvByj23fSc+roZAq0TAZyu5tstWv01Bzb3ueIvFtgyfAHlFbKdwjUP4NdtDFjmmeka8JtGcGUG2I6OIHR7KKnOCjqykhtL9XpXXTPP03uuWXEmbsZbjp4ZPI+nLKZP9n4O17z8Uf41bt/j1JrhpPeUdoMUE6vEttNIJsClK9soLfbiTVjxBI3eeTQ3ci6VxfjpsOL1G8tYz585JuOqd1cwvXEW2hubmCa//pM0Q8C4XKEo56vv7/ulBv4DToMSpvw/ga9oJMF5zhqt0ZUUch10iQaCe4T52gbjHyptIzQUJBCdmpSiaZgIFhb58Z0CH9uFW81zUeFt/GuN/4N8RErMz4XvWgefDpog0fuI5YqZCwDmIQUJcGJZLRisqr0M0ksU4PcH6jTKpspaFOMCX4MZR2x/jhjo7CW3WZAHEUj1VCBeq/OMe8c26tpTMMqq5V1dKKWntJjyjlBvWdlu9JhMJZm8chDr3RMzzqn0EpaZuwy6Wab1WKdU/MzXL+9yWP3nCC0u0NsaQP8A4xZXeSNg/T7ETZnDEyZDpH7zDnGA0a6syH6qyn6PS0dkwmXMU+xWyUujOFJ5dkfGaQN6PoGPpaY4MH2DhuzQ5z5PNiX1tk5sYBeG2LJG0dqiWhyVWZ0ezRDh1B6MsdLRS6bvVirZRyigdDeNtlAkGpAJWe3MhZtMSRkOeV8gv2klqp3AmM6hupSqJQ9dGWZe154nj+9/wH06QFKvgamXJZkc5JBrUpHKuNquRl0xkkadFjWm4zePA/Acw8dISaojO2t0JiZRhGMIAjI+2tsmDykDDnMjiL9apSePkBQlhgmS1wVCTjNJLtBSps7eBcPfR8j/RvjR6rmKhcuE45cwFto4Ox3OcgW6dodWA3y140N58PYS210g2N8du8y4445ZmwmpLWb9LUVBIuDp8IqqqwyPDrGU1vXyO+bMcd2UMeMNIoqBaVKMJ4h5rTQTycJTFvJtx1MkKVShJXey/x5/tPokPiVFxWeHYOLtXUMtkFoyZj9AcIlP1oa9MzQrYjoOnmaVgGHXEaQDEiZDnlTB8ll4sjuCr7dGCsnTrJUk5nVd5HcFvSBEZqRXQSNFovb/k33lFeyqzTiYAtoGUlWWclVONPLcuxtP0Nlfoa8MYTbY6JW22fC6SIilcgsxQi6zEgWC6JeT7/X4MXnv8SCucj2fgZ7wIlZd+fmIogiukCQ6uVLyAMhdLIWu8uIw23CYtcT2cxhcxqQpO99JuuHpeaq0CoiIODQf/OCf0VRiMUqNAVQ+ipDIRtLNy/hGZ0npM3gEKtsVZp0GzuULEPMH2wQ+O//lb5Gy4WffQ+X5SGc3RL9yiYTbQOagJPSznNMBYeIF5PMX12iMjzAJcHFWEimUstz8shZwgclCu0O/VyDpd11snE7AcHBiCtIwO4n11ax91LE6xIrnVV2oiLjtiYDgRCiIHJ1b4dezcLkgJOjoyFu5m9y/8wUFr2GfqeM0Jbo9Nvs7N3EkJIoGo0kbRn81iCu5jRKVUA0ZAg49chaD2okz6ZsI11e42r9OueTX+SZ+tN8Kf9hnu5f5ibLrAjbLPn7RBwgo2VIO8AR4yjz2mOc6T7OE50TvLX6Rt4+8Q6mbEHu8fx7xrJGRItEsWyh09Ngtat0+n7SYhW12+PI5ZfpOcaIutwYnVb6B2nMw34C+kGu5K5wLvoMY/JZBnpedDotRiWF2+PDe2wB6WAT7/ggVX2d46F5Xtq8jlgy0On0MZl131GxuqjT0SuXAb5h520zvIPO40PrcNCOHiAHX52R9PdiLjS6Deq9Bh6jG4BkLYtFZyJaayFLAi5Z4sbVv8c+NMiwax5VaZGpJ5FMg/z+s7/GTnuf/8P5esZCT2JZPSAreSh0BzC7DziUGaCbNtD2D2L4gwPuLz3PU0eexLZowX7oJKVaD32sQD00QLfexO2oEO3YMHpLbGltaGU901471UidQTGP1M1g1cDze23GGk6UUoyEPIBZo0MoSDTyOkrKPi/tXGHaNIW972I7t4fiqWGVLaiqSqffxaAbo9mXGbcacZVy6HS6r+lM/0rWF8Cs1eDQaYm0e0gdhWgyyeSRObRCj8R+EvvkOKW1MGP3naGuWPjSlRt4jRJHpCSjqgXd9BBXuhaGRu1QdOLuh8krVTq1IHa1z10BmWotwKFuj3amQUXjIhTZYigSZuO+hzDKdg6MDe6u7FH3T+HzHsLSjaFf2aCpt9MuN+k06ty19Qwja7e5+OaHWBsdZbRRQxBFqsZpOq55BhoREq0m1uIebesYhYlBHDsxAuF1Lh8foOAPYnXZMJcNhCpFVEOLkMWCydhHLMfoGccwV1qc+djHKXl9fORt72KsoMFQLpFSHbS0NXL9Ct7qHjveEc7Um6imWcS9Khanm5xsQCdYMREjokh0jWaM5QLmdJKp+clXHbc/lmL4LiE7rCSLPewzw1hdXkzNGoVLl9hoKyhAqg/ZZod0s0Xy6mW086dZKWxy/8Asxq7C/rkL1AMiZfss2aXrXO+bmTQG0co9SrUaGFs4tqLc89G/5a4Lz3D/i88y8+LL3PXUC9x94TynP/5p7vvEpzny8S9wkHiGX53YxtSFpz+g8G9XoHXyTTyvXWOvtsaDgyeIRHxMJzcxiiDWRIqzo6i1PhOFGjlJRG8ewdzN0qso5IMSk5tpRja3qI4Mszl6jBZdavEY/uExZH+AxtptzD4Prf7XX5uN/Dalcg1ny4+xskyuqwOPiWNXbyFfOIfz0lW2X/sOVF2XsaHTrFczLBa1RCzQMAnImVVKN55hK5JC1Y5w8sEHKSaqZHbOY2qWMXqG7hjxShI6n5/qlcvIodAri4soCjjcRva28zg9pq8/wX9h/LCQq/XCNoecU99ykT0IF0g0OygCmHwmGs08w5k4nqlpGqU1uqIeQZC4UaoyL9cJ/u4fYN7Y4eobn2Rv5izUu/TdBpyxEp2ZBxE7JpTNa8imYRJOO6c/849U+xKVcTNhrZ4hwU2hZ4SuQq3do2qvohNNBEICza4ekyBweT/PyQEXlt0YM0fPcGO3gz5o4ki7Q7Sf40YiwVoqhtGbI9VK0lN7zLtmeG73Kn5dB5N5mP1LL7HpMWCOisQLdVblGhgVhoUeWWWLreYeF2ObPJd7ls/lP8EntZ/nfPPzXOkusdPbJK0m6dBmWPAyqjnN2eBreTIi8v/8TZwHRt7Jifmf4fWhY9ic93Aqd4ajPWh3nFjrNdzdPfQ5O0lzk07PCNZhtFKKYlulVZUJmop0ajJisMbxzz+L3Mpz7id/gvV6jkC6wYDnGCG3hmNDj/L0wRe4lP08Y6ETnBmZo729h2bYhoiRVnSP0rkXaI8P4bP4MFv0qOYONp2V+H6JYr6BTta8Yr79zaB1uamv3EQ3EPqaWFFaLdrRA4xTU9wqVHEKCoKivir5k+/FXLid32DONYMgCDRaXT588SY7+SK1poTaqRHefI6ZwWHMRisIIhXRwlZuldzVG/xJ9u+xSCZe7/gZkuEmTY2dqtFOx7iKV9GQaR+mp+8RCft48OmPMcMmq297GGXCQcxqp5MsEGzECVc8WAICto0t9JMdaqhE6wUG7Q6EeocjdwcwWH3kaxXijR5BzwTecRM6m4aSzsYxv418o8vZYwMsla+zIB9BCrRJC3HG/YO4jS7CpShdnBi0PiZtJgJGGbHTprUbxjT7rbvVJFEgYJTJ9SDfbtGt1xicGKXWV0lc32TSLXIu2iN3UOWQS6AnFTE67Gjaea4IUwRddbxWKDT6nD18P/naOkIjR6loRy0e4ChXKHqHSYQmOdzZp1WpMbq7zdbgLLpAi52+A5fJzFQ1zY44SshiZS+XoNmzMZBPEBv28MRH/xJDrcal9zxOXdRiKGrpHrobJyr1XBRDpoijlWBt4SymchVNK0PeJTB74TrWlsyFB+cZKo3StroI9FuUFA+izc9gdpmIQ4N9q4Vr94Cx5au8/Lo3kbSEcHfrSAMTOC0GGpINXyJMUT+G3uEm2KvRsPpwCBW0LjtKpc+20qfWsqHRFpGLBaYOItgkkcCRV98t+GNy9V1iL7NNKqOy04uCzkPF7kLV6jBbTMRrbTzZBP5yjlRpi1mjl7ZbotGTUZMl+rEYgaMhnPYQpfgOzy/XOHV8ikmnk63mDjv7LcSEwpmLn+LsuadxZBOYcln0jQaaXg9V0tLSyDScDj58WuY9j9cx9kX+5OYUI7op1u9/LVsPPIqsN7BZvsGt/Apv1S9QleeoHx7BndtmpelA0GnwJsPEbPdwY2+QWcsGPZ2FfqmHoRZnYWWD8Pgx+ifGEQwhhtQDVrMVig09/ulR1L1tqntROqnUK4+DyAqp7D7GmBuTaxuvaGU1K/HIw/fCX/0lxu1NpE6XgWyUW4uPUNU0aIcPMAR9TPlNHKxv0JWNdIMPUohnWXDVUM0KYzOLXIlZaMgpLMl1usksWpsbyWBA6/FQu34N3T8jWJ1Oj35f+Z5vD/4wkKtWr025XcFn8nzTMYqisLyaIiHC8IiNGZsBze1z2I88QL10k263z0ciu0SbGdraELatCHPv/0MKPj/bj55FbxapDgcw7+9isA3Td/kxrVxEXXiYYuwCjvFHGPzc32EqlQlPH8HsMNIoVrCO6VGtOTZKcTKdEpqWiamQg4ZSo9zVMRayUQpnKJea1GQTZbVG0Omh61Ro7UY4l83zzjNnmY128DW1lNNR1pNL7OdqrFRvsrxyjZikpV/uU4wXSOnrtOwNZDXNf179L3wu9Rlull8m2l0h343RVpt4dX4mxCHOSndx78g7eHvxHp6c/DlO1R/m/rmH8ZtF3vHBK8xsp7n2s28hb9dSzg8R2O8z1N9kCwMmgxvjkJZ/5BQJowspXkY2aQikc2A5jC2/R1rbpls04Tetouz2cGYyhMI7bJ9+mL48R79RwJDLow+FCFktHB14gKf3v8Az+5/A2tQxHxiinlijvXeAfmEUVe5iLvSJmfqM2Yc5qMRwmG34fHbsLiOFXJ1Mskq10sJs0X+NxMk/hcbppLG+hs7/1e7B6vWrWI6fpNVXqHR6FGQj5r3wK/WP3wn+pedCu9+h1C7jM3kpt7t8+PIGC9MDlCURg/4Aba6IVh2j0oqQb7ioG7Rc33mKsZUqkeoun+pf5m75LBPyNKqhzm5GQ1sSEVs1sjY3Uk4l7/TyD+8/zv/b+UUqNic3T92D5sgQUs3I+P4WB9aj2ESZ4VqWutVCRhsgT5HjFhfjJhNHZxcY8XtISSKJbocTQpk5kwGzucKe4qfTV9iOV/AEDHwu8hJOdQKHJ0CsWcEhO8i2chzUmvjNE8w5HPiMMtKX72PVq5exnDz1HUtoBGxGqoUetysFBmxGhvxubtcUhrJR5J7IcXMVR7tNzzeFOObnXCzHfZocR+bvI93MYjD3ubCc5i7XYepDXfy2BruKHilQpqSRsFHfmQrjAAAgAElEQVQnbLBjMeaYfXkJTavB1YceZ1pocQkIKXVqhQ6V/W2smOlJJWo2gTOFMEc/83m2jh3lC699O6E2FH1HcDX61LUCA50K+8NjxHzj1GsHdOUC9rJKyRFk5OYNBsNbFM68mW0hy4AhiDwcJJBfwtO5TUkScej69CwG7vm7D6Kr1LnxxocZdpooiR3qspVOuYCTBB3JQs/oRVMq0zc4UDVapAE/pWyMkteJVaehq3ZxroQxtXJ0x0YwWHwEx19dBhd+3C34XcMpB1murzAgGenY9zjiXQD7PJVLF5g8fYa9Wotwp4l8eZu8R8v+coojOjemQJCaf5SdWAJFo6e6c4Blyo+pa+S52C6JRpVBh59SOsxwZB9VEHj/L/wWB+4hDBoZrVmDWWph2U/ykucWH238OTqM/NrC+6gML/A/9QUc+TJyeY9/n5nAan4zn6p9it/s/BG/4Xovms0hbnaP4Wr3iV/w8uGDB4mGfaiqiPJkiQemL+Bq6Gna7rR791sZHJ0MV1p2pj0LzOq2kJxW1g9UjMYggSkZi/FO0etOKYIWF6boFmoqAStRtjU+Rtw22iu3sGysoeh0dO6+B+MLz7F494sUjDPYhBJ7O3vYrUeYPfNWXry4gWxOMnX6XuwuHcULTyHfP8gbzozwqfM9dJMNjtodVCLnkdoWZF8I08JhalevYDl1GlVVeW4pzoNHB9hZz2C1G/5/r+/TaxfRyI5v+vpmcZs518y3PMbF1RTrSo9/vRDCaZSpZW+i0/npC01atShXcn6sDQ86yUEmk+LQb74fQVV59ifeRFFjJa9qsKhpQtU8zelxev0aarvJbV0FvdBFv3uZnbFRji/doNYXqXkUdKkUiTULltAMblOB1J6XoTkBp9omrW8S3heYC9rpt5Lkp6fZDedxOExEyit4DFaqQpDj5W0ckTT10ASlnkSnOYap0Wa8naMebSHUc7S8bXqpDWoWMw1dDU8pz+9lP0pVqHJWcxivuIBbf4hBwziukkLO+v+x9+bRkpxnmecvIjIj9329udybd6m71nJrV6lKJZUWS5Y3EJYbu7FpwD3d7Uac8ZhhOHNgBqZZZhhmGHfXaRsYgw1mMDaWbcmyrF0qqVSqKtV6933Jm/u+Z0QuMX+IthHY0DI2zDnD81/kF+f7I+KLN5/ve5/3eSX0AQOd7FXKqo7G5CSmxBU2HCOYegVCnRLh+UXKsTBbriiBtIFmehWDYmUudBCjrYm6meIiU0yO+2lu11ANRfJqF53Hy0DtBvFpB7HVDXasGXx5F+KIg7X9pxhfvsXg1jyls25KugCmvQ1GVvIUfDIBk51f3vcr/M76b/Orc7+OUvgkP3P8EYz+GJLehvHQKOnH/wDlr6olD3inuZy+xsngUQRB+I4vUkftEt8u0utqON0mPP63i8ElswXRZKKTz6H3+mhtrGOMDSOIIhvlOtMuC4mGQrXTw9rvI3yfQhFN0yjXVfZydRS1x7vcP9yT4qXiKuPOt07S4rsV9g/36al5YuY2+byG0eBkfFAjWdRI69rcfPlNBttWKn0dX5GeBuC4foaAc5Ly+i5Gi4OO7RqaN0S74KLrrPPs/32K/fV5HFS5MTRLdyyEVPHS39umVDPQo4t91EVjvkj+wAAVQaNYjqHYguT7Xcjc4mZKT6anY78kMnvf/aQWFyjPF/AfGCafbnDPhJ2buducDo7ST5uosMFDgwdp9QTqnR4hiwHxb8SoxvxtzNMz3/fZfz+MBOyEVDNPzq3zvtlpxvcFWO9JTCy/gCU8Q945yvCQg68tpbhn/3F25i6gvvksismPVwyiFnZZte5gasnInmEGEQjoEoyIMmlBQG2XSU7dSyb2bfYtz6O1rCDuojM72KxbGW1fJTloIys2UbNdyv4Ad7zyGgC3T05hrm6wHhzEJMFeWYfbIbHksNDOpGg77Azp3FTlGMsHDBjUNhuHpzj57RSHnn+BtbN3o+RfQaqOIUesiOtl8r4+A9dreHVFnJtxto6fIaP3MZJXSRtjWJoFLOY6UbFH8P4JVvNdJhoS13N6+g496U4Hj8fLTHELs15PIpOlfmSGkQEX69UMLt0/fZ/P/1+dXFlbVQJKg6WiQrPRIF7uUK70kJ1OpFQcfzjEZuIGvY6ZbacJn2GK3Y6eimRG6uwyMX4UrbPL16+UOLH/EPHdMkn9KkItSK+UJyB1uf/rXyDnG2T3oY/g8prQ1D42XRmrZGDd8gp/XPtjZMHEB32fQEsfBUmlknNRkVsoygx1kxWndRazrsN84xqvlrdY+drP8sLT53jhuUPc2hqiWrIyNFKn1RDZ2B7goanX0SJmeuUOJ65eojAxxKrFR3hQxxsVO+GuhMOj4TY1mB4fZn6zzFaqSr6bxGY0Ye+WWFtWcDk0AkdmWMrrOfe++5H8ARz/62/Qj0RJf+qXsDz3LRwXX2RlYAbP0TFc03fTdchslaBS7aMW+5giJcLuKMbQMOUrz+EYnUYQBOLJDpJTIzp0jL6lRbeZQ93NQ6+Pmk6x0TEzGrKzuFNiNOokm6r9SC0bfpQnVx2lSLO8SuGVp+lZy+iNXkTp7TYLfa1PupElbB142+/XMjfxmTzUOn2WynVu30zz6OkR3FYjSiOBupLANnuc4t43qbZPMpdfoI+EWg9y7+Vr7P/WV1g4NM3ePQ9i7AdZDerxJVI0dRaSLhf2/BJ1cwMPNtwDgyjxRZS+xv65BcojUTYsYUS/n1BqjVuODp22k1y5T1XfYqd8AQ0XLneH1IaKRYIb9SINZxmp24W0RCrnRpPblApZcpt1yuvr7OncFOoK2XqFqpbAtKPSDZ/CtrGM0DCi0UGTazxb3eBG/xozuhP8mO6jTMhB/NU63WoDfbtAsF6jn5XQtcMczO6wJ/WRlBruQomxZoHx17cZvnaLW8dniftjiDUVIyrzQYl03UC5byKkSxMKe3jpLwN8+U+mMJhdDFjmyVj0FFUZoWHF1G0wVumxFjHSapkJhGDy2RfptiV2Dp1BMNrolRPUgzG8YpOpiUEGgtPsyzp5rXmdF2oXqKth9hscWB1BRFGkubNK3aTH7QqjEyXcRhdLxRWClu968UiSiNNtxu21UKu0UVodzJa3V/7pPV4at26h87hRkwlMY+P0+hoFpUPAZMAh69jsgj2bRvZ60TSNUk1hba9CstAgXWySLr7VaH0k5CDgMnF1JUfAafyhbGZanTaXUiukmlWqxRI6uU6pE0cQLBwR+8SqehZsZVYyN7Dqhum9fpnT+2cxaj0KbZVP138fFx4eCP0mubVVcu0u6kASY9OF2jcQKUsszw3zxrP7+QXv73G6eYlLx+9mb/oQvRJ4C/PkfBOYIy7E7B7WQI0t2zBKVeG+/X7GzS5OzA7hcIfQjHYC0ioxlw5PYIxaq0jCNkzmpQuMT7nJ94pIooS14yTXyXFn7Ag6SYdRJ2GXdX/reanpFPS1d6x5AzCZZTJ7VQ5EfVzYWkMw2bDpdJhGpmmbPSxnqsztVbjDYSHVl5gemyazeo3IkJWVcolHzp7ixm4BZ7SJojR59/Q0K7kyejGO0LIT1MUolk0YhSpDt2/QN3jYmDnH0Y3b7PSt1PsHSQkCB7s68kIYSy/Ho1/8GggSzz/6EITHGTfOIGpZioYW2WaaMi0aFi/DcT29oVGs2RQGqYMg75KZuINjTzyBXMix8OFPUhsQsRWTuA0FkpYwxm6BjPdeJl/9FsHVVV4/eZJaYD/NfAVHp8t+fR6rO8aq7MbUcWFwSew2m5R9Qew6uIciTqVNI9eg3WjiPH0nsxNDbKkaB5wCGZ2ToNX2jt/DP6cFf0C8eXEOfVvB2lGRzX6crhUmh6apdyVuXdvg2m4Jbm+S8pjQW0YR9BLLrYuc9Eh05XHWk2VeuHiLo5MxMhWR25U5AoYYDmsHSyqFs1Di6OvPkD10iOIDJ7EEwxSUOt2Sk5fVC/xp4zOYNBO/GPwEAcMYotzGaXIjKkaM4gjjWoJCOsj2rSEWvvUo5bIOJfY0Wed1xPkPcmymwn13v8EDH9zingfT1EpNNtYiWG1tTHf0saUbHL/yCvmIl/j4KfSUEANO4kUBVWci6AshdlLYzTINuUw+06aWqZBs9HB3HHT1eZZ2ugzOzlDWYH1zh+k//E8UZ/ZRPD5OVTbiu3YTT71G66f+DSahzlymgE/nZizspNnooTaMLKjLDLsj9Jt5aAkMDAUplDrsFerYHH089hh6m5eepY7O66AZz7N1a42JqSiCwUCt3aXX7GB1GH9k4vYfBbnq91SalWUEQaI6t0ZW6NLpR9FLe/S6DbReG0lvRxAE1sobxOyDyNJ3/zz7Wp9EPcsbmQ3cRh9rl1NMj3sZDjvo9xTaxR20dJta9QqVvEw+32KpXcBSGCZcT3Hu/K8i9ro8/onfxJsr8OasHb0Gkxs1LMEJdM5BKotXSTiG6bjNCIY2ndYuU5iJvvYGHaeD9uwsaBJCTiPmM1BqjDERDrKd2EJyjNJpZ8hX8qwk57hc7hGweVB7XpzYKTQE6rU8O/UcUUVgkCyBcBFbvYCoZbDU8kwUcugkK/16C6FpIDEjITp77MoWnqr8EXr0fNz6uxjMMQJCAkdwEsk5i3v/LH13DLOmITRL7Eh6DhYylNshigEw+w3EXrrOwHacVw4/Qq0fxlLJctM1RV5xIpjLBJI5vnHlNH/4H88wfz1EuymzuughmR7hLs8CVquAObNN3LOfvD1AIClREiQSipdjixfwJ7e5+K5HqCOhyTL6cgqTFqZUWSeUymOxBzhz+FFe2XuB1/PfpqfJRLuzFDINIseP0r3wDJkBNz6zB72kp9PvUFPfEkX/TVhtBjKJCmaLjE4nvW1M53FTePIJnPfejyAIrFebjNjMSAKUagrlep/NhSVKooN0sYkoCoyEHIR9VgY8FgY8Flw2A5IoIEkiI1EXr95MEPFZ/qsJlqZplJQyW5Vdko0MmWaOhWKCV5M3uTM4zbApitSzYHEq2HCQ3rHgzCbZCtUwdYu4ii3KaxVMd7yHZnqd6maRL5mvM9e8yo8F38+4NvhWr0VZh8ddptvw4DTq2cl5ePzzp9BEjU+7P4W7UuDFn/0FLBawFy+TtkQJ+py4DTW8rUWywShRcxmb2GFY9jE2HaGnCSyVGzh0Vdz2IVzOcdT6Kru9MPlcm0bUhmd3jbrUxeHwkY7XuOvgob/bCkNVaa2sYDnwD6jUFEDoC+hbfRS5yq6iYyrkJK11KdVUHj42SDjkIOoys9JUmJ05wtK3X8EyomG1+yjlZSJBB4vVHKuZVXQtBxGXgaCzQ6ap0bRJxK0+7nz2cWz5XVYOH8TkUUgHFJr6LiORowjlEusWPWeuJZh5/QVWj57g+tkzOI09bBIMSzsYcVCTjDSyYew6I2WzilDr0w55GdxdZNPsYsblwB5PEFiYo+ZyU5ycoelsUqpGKduydAou8m4rH/j076CaTHzm3/6PGOxeqsMjBPpFFO8wSquFprewUNmjUKriFQyc1CewtmWkoTHcXgsmtUrFZsHhCFLI1DF3NfZEE/uMdQzG7581+H74Z3L1A0IJtdlel4m5NNYvr2JV7Owot7D2vAxPDCNuvYhh1IHonUUrKsT31rC29MznOsyOjpArL7K7VEV0D5Hv3CLs66MUe8h7m3jrCkdXXyawus6N93yc5uGzqK0yagkuSi/xVPN/x4CZX9R/iPbwMSKyiFHqU7T3sdRlll5185XHT/PNp2dZmB+glLPjrh7FH9qkEnoZ7+kn+FdDBswnZE4M59mR+4yNVbnyQozl3Rhno6+A2cKdr32bptHD0qFJHPYgXq1Dxuain1qhodfRc45xaXeRVrOEx+XH4o1y9UaGdDmPe9BIveLgzqOj+HUi0tNPMvD8M5Rmp9n8yKewCAKUMrivXKaMjfqBMdSWCclVo1jQM+gwMRJyYWrYuFiZQ3YNU12+RdHixWYzY8LIYjJB2GvDqDcjm/wIosDtSoND0yFqL76Mf3qC3YJCNGInsVX6kYnbf5jkStM0lNoWHaWA2TlBv9winlimNOzEmk+g2I9j0VfQm/xv3acWSbTrxBxDb5vndmGHtmrgXHSS1zffpJ2TOTNsoL2+Rj1zA/VmCt2UnyZNFMtdPJ+9jVfnJeTvMvHFrzC8eo2bp++mPnWQhHWIjtvI8YLEirFN1dGhmdzE2XDgnzqJ+eY2uz0zSlPEWBLZd/0SQr3J+rH3UzQ4MMpl6l0TolhC193FLfWplUSK3Qzunkyp1kMne+gY9ET1djYSFZqtLm5PFn9tC6vLh8VQoN33o6W3qJlGMLusGJoZCoOn6Wzv0B/24rTWWdV3uZL/BjutTR40/jtOqH7UPjSC4zQ7LbzmFqLZS1vfoOCo0zSYsfsCGNJ7VPsuBgN9Sgkn937ja0i9Lk89/DBtk8ROcAR3vcbB4g7p+Wm+8OfvYXV+H6IgcM+ZeX760WeI1xxsLId549YUPkcG55SXSC1HDh8pRWRA6JNzdAhligxtLNG4c5wdKYjV5aOfXcEsWzDuxsn5BpicimFxDBJz3MFc7iKvZF6mJze5Y/A++kofIb5CwW8j5HjL08xhsLNZ3cFhsKEXv6sx1Pp9qhdfw+E2sZ3q4PG/nfQoOzuIBgOSyYhoMpNsKBTSDfaydSRJYCzkQGo38IQ8jEU8OK1vEanvB6fDhAQsbBUJef/+7+1G6k1yrRKSqGPIFkHWual1rYw7g5h0XcadY8xvljg64Wcnd51szoVJWWfDJnNYauHYKtI2yCSjo2h7DSp7O2yPRHg2/qfktBw/NvTr9JJVRtoNNtwKxpIPwdeklI3wzOP7Se25edcjF/n5y79HdiDIykM/TqiyS1rnwhs4QqnXQsqvowlmEsEwRmUYoyAwO+Wnp2S4kS8wYayTq6wR0BvoKgWsrhAX1qqo+hwxtxtT2EdhbwN3qY/LPYLD9XcXCNSuXsZ27MQ7Tgf+dZjMMsndMhNTYZLrOYxeHauZNtWdKvcej35HyiEKAl6jzEurWWbH9iFlq7xUnSfsn2Rzt8O/PHaAhihQ1yScVisWm0RP3KPZ16HoRQaXbjKwuU3xzDi7E0eZKGdoDkwgrNxk3eHmSMvI8ae/gjMd53Mffzdd9zkMHSd1Y5O6ME68nsHdCjIW1HCpFdzGEk21g1tLk3D0mVnPkrY5aEoSE6+9ilWrUnP6sdrbzPX72PJtmroxjr35DFOvX+DCHe+mf3KKaKVOv9Dn4FiImEVj/J4z7Oy8hssepbe8TU/JYZHM2KwNypcW0Io5UrExBsUe7ogfz4ATi1lGTTdYL8JQ4J13RfhncvUDoreSJC1VSaRsTNx1gI2NAjGthajtUusWqCfTWIePY0xkcHeqREfKnPANMF+tsJmpsLUW56RfJGNNU8+V8MUt6NV1bJ0I+ckwh599EWc6ztM/9UlqLiu53SJLltf5cva3sAgW/lvXz2AwHMTWstHuG1jZmeLbnz3Ml75wgvmlKPWWkf1HitzzcIoTx1/kgY/t8cGaSMndY165waq4QdB4lkLXilhp09aCiEqDteUI5nYb96kCd730HB29ka1zhykpJvqtMncdPk62LtFqJlF664yZ9Mz4xnAKNRo5CVtmjZFDsHBbT8htx5qN088l0K9eZG37TT51dw9rXUYYP0ct5iD62mUcl15m8ej72TclsZxvMezzEQk5ScUTOMxVQhjJS2XGwj5MawnEwSgLiTI2q5PXdzbRm6yofY2OqkOQ7Hg8AovmPQqvXWHUauLqXIoBjxlNkn8k4vYfFrnqtHO0a1sYLBEMlgHQNLZe/CbyZISVaw30yTImd5u2cRpDfxeTY4J8t4vcKWPoVBEkGVEyslltsrV5jSN7JYpXbxC/kcUTzTIUHIOAjGwOga5D29QkUYiys5ejaV4lKI2ir9Z46DO/TcPm4On3PoZDU1k86Gckb0Pqg0GFtM+DIbVL063SS21Qs1kx9eyMiQI5p0JsM4lve52VM2cpD5tpNe1IGxVki4GsXyBncNAT2kzpzWS3uuwLz6DZ0qTjEpn6KiaxxdFBiWYmRVe2MdTskoodYrXnwRa24Sy1kBSJ3tgI0u4GTU1EN1Qk04oQV9Z4JvfnBKRh/t34b1AeCqOYrXQrXbp9gbqpQE3cQ8GCsRNEku3o1m+TdzsIOoqsaPvwdMyc/eYXWJw8zvzsGQLuDs6yysLCMH/0jQ9w8do0vb7EXWcW+MCPP8u9kSUKYZU7Jrcx6UqsbI5xfW6KSsXEgcE0Nqseu91BvKbQahvpWwVOvPkKZYtIafYIaqOKoddGkEuYx2YQ9q7TdA4TtplwWHyMuU+xWLjMK8mXSLRzHJVPERiKkl5+Df/w7HfK8v1mLzeyc4St3zU0rl+/huXgQbR2GzkfJ1WXcfve0l/1Wi3U5B62Yyeo37zJVcVAs6JwYMjNUND2HSLl8PvYunYd32D07z2NslgM9Do9ZJ3IeqJCwP39iUSqvImxUyJitCF2m+yU8uj0FsaddrYrG4w5R7i+UuD4pJ/E7dfo7RXf8uEzNCAvYs6k2dE7qenMVFM9DPUbtE0x4pkiT6pfIGoe56HcDBbfCJvlBIMxI7WKgGQI8MabQ7zx/BiDk0k+ceTLHL30MkuH7yY/qGdTJ+O0HKbd7CFWi4w6BZZNAhabkVIly4OHj+JwedloGxlx+ejrDXR1Fnz2YUTJyKsJlWZzm6BnkFG7hQuJS9w5eS/NVA9XM4khFPq+z7G5tIhhcAjJ8g/fCGpoKK0uPreLpUyGgE4mbDIRibzdqiWbrKDp4Ea/i15R8GiwrbxOKWfF7G5h1UNDi7ORFKmK4HNNc1TcYjhbIqE5GLl2iZ4qUpt+N1VjDamewdKTKbYjDGfWOfaNP6Ps9vLqv/kUdmsPXVOl2tCRV/MEBQNB7zCyYCBVNtF3DCJIe+g2q+T8ARTXLKb1ONeD09z55rM4duLsvvswtaqZwXYOSR6lG7Ny7jOfwVHI8rWPfZSBtoRJMCC0mlgcdurNHutvXkQdPcR0Ik305F04IkZ26gl6mRbGQT8LyhDmThN7v0P9yhuUs1WKq1sIqoLP58bueufv45/J1Q+IwckYmflLRF1u2oKRntGCzuwga2yQja/ga3XoXl3FdCDM0KSbnGhkJd7llNZkXo1j2hUp9TpozQ5+U4SUu42hP0mnUsTt03PyTz5Hy+Hm0o//HLrkJs/2n+XxzP+BRbLxSPR/Jmg8Qt4ZYfcbJr74hTO8+uQ+8mk7Y/uy3PmhC/zcL+W570ydSmeTe4ayKKV1ZOMAsZF7yRe3WGaeYmebKdMQhwwKxaoBx1iT5UthVhMxRs7scO7q88idFrff/xG6qTRyYB+90m36zglimobPMEI4Mo1sdNDrW1hffh25XUPo1DA1PZw6GWMHiWv5Im8sfZmfPZNg1VjmcusKQ9a7qLgiOAxWAm+8imf5Os1H30u3vEdbTGGXNDpKH5snTKNcYMAVZq2+RcQ/hpxOMzUzQjHfZNjpJlFZZ9Qb5sJSBlfAwmI1i9sSZdBlY4sm/okY2XiZ5nocSyNDX1GR7PYfmsj9H0qu+r02zcoyomTEZB9F/Kv0Xuny65TcZsrNKg1Di4Nn7yP5yhX6jRydrAT5eXb1HWbCp9AZvaiNDNdWFtBdvwy0GBg/zsWOn+F944xHfMzvXsWRKqJu7SBNj7K5vktb09hQ1+gp4zR9gzz6u/8L9sQOr597GG0gyrpVwBDeR6CcQVXr7Bo7qA0TE4Uk3kqXdHSGglVkotFEMtsp6ZuEEmW860usjA2gc+3DNOCnmciQHsjiaAhMujwIhhgr2xpjoS0kVSGbMWOxNxCVfYQjdtL1DMVOhlitRXbsNC1RwtA00+p76TT2qHc0thpehEQey7Eei+kAFdsCz6Y/T6Vb5aPR/0DdJuGTXOj1ItlSipKWR3KZGZTduCQDqb0O7VKWYfMOVm+Avk+Po6Rj6NJTjC3dZunO42yMnuXSjf188S/u4eq1KZSOnrNHrvHIT73OtPs2Xq3BtkvBmA/R0dVwRlQO3DdPZnWApaUwl1b3MRVYQTrowaeXMFbXSRqdnHvjWfT5Ngt3jVBMu+lbwlSLZVKKBwUrG6U2mWKVfqtLudbkmOs4y9WbXMu/xsv5Fzk2co6BzQx7Hh0B21taO0EQcBjsrJU38Zt9tLe30Nns6L1edA4HBr8P5fZ1GqqA1eekfu0q1qPH2U7X2FINdGt57jkyhl4nsrddotlQsdgMCKKIPptm2+zEZ/reju19TeNmNkutL5KoNmmiUe32WMpUEWWJbl9DEEAnCAiCQL/fYS1xgaLey2JDItfTcdAfxtzNozYzlGo7FLNGBup5xPgma5VlkroZulKGZrbIQXpc1nuRvQaCWpWC2sCpqKRafjbE57it3ua05ceQm+NUSqu4I3p6dTt9wcxWw8QTv38CQejx4z9/iQevPkl0c5Xr595PdyRCUtJhwU+j1WbcvEdblOkMH2FMClHvVdB7VDarVQJmBz6TgcXi6l9ZoIjc2iuyWUvyvsmDZFsKF5PP8eNj78WsN1Gqg39ikNrVy+h9fkT92zd6nVyOfquFcXDwB44lfx1mi0xit0x40IlS6JPXF+h16lSlItlmjp1qjqvxDNvVCmZHm7BZoGp2MlZpITm8iHKRcsHF3RP7GXfEWNxdIurQ4UjsUCzosR6eYPTcQ+h//zOYqhU29vupRoZwVQtUBh+GrRUm1+eI3XqT1x56ENeBY2i6NiZriL1khapY4IDLgybZsLFJXoB6pkhAV+a2VmE8bSPn9TJq6+ErbFFzhBm9dgnBb6M6cw9Fu5Nk143t6nXu/9b/Q2JkitKHDjNBg4rexeC7zjF+eJRWUCLb73HI4KYXHmVoKozb5kW3m6Bs7aOaekiuHt2Gj4beTrZrRTOYMQyP4PFasPYb6F3/nBYE/nHI1fOvvci1SpFizeLcin0AACAASURBVICyvofsMLO4VqGhbiGnCvROvAvXYBtvRSRVq5PfSnFg3yFW51bZzreI9IqYp06TooVqsdJUzTjiFfRHHdhXW8w+++esHz7DYmwfL9a+zTPNP8Ai2vgF/89jUmb59lcP8O3/dIDrc+O0Wwb2HUnwkY+8wZlTlznkUkjWFlhJtjkdNFCsd/GKEmtOG92+xE9KFq5JFTZbN0nX84yF7sHrmCfZCOMURZYXg5iLbd7ffQJ3KcdTD32YkWqWVXsXawPCI162sl3uuGOCtfkcbreR5VfmERduYJrqsl2c5NCxETJ7S+Rze3w+/Rk+r38NVxvusZ5jvrPCrcLTnHDNshsYZCiexjt3k0LXjfWhh+lLAqI5TMAXYXezghgaoBlfwhuaYK++ilMxI8kyPZ2MzSxTrcFGdoejg1FGPVYqSoYB+ygtagzkVboDbrbaFfzhYfpmDzabTGt1GSWVolssonM4EHQ/eLHrD0quNE2jXV2np1YwOSbRyd/Vyyh7cbbTWwxNhLl+K8F773kv20qKMdlFPqynoZiomKOQvYXu2hK1pRVuFzqMNNv4Th2lammSLnRBMXHy+CBWjw9BX2FP0DA322QS1+mUDWRTDtbtafze40zevMSJP/ssyclxbj38XlSziYzHimW7wF7YgK66SVl3EP9mEr3YpTF7gFqiRLMrk9Bl6ZX1VO0+tHKJ6euXKFnsbEYOsKKYaFkXkSs+PAwjKEYQWySrCgV1BNFTZchjp1ZuIgvgNPsJ53dICiYyHj8eQx6vMEyxodByG3Ckk3jUFJQ69GbtrPf9VNUey5XXuFm7yBnjA9zn/QD9qkC6vEZbKWNt21BED92qhXixSj3fwttNMaTbYtswTLqtI191U6o2ueeFr+LJ5/jPp3+dv/jKWS5fGEFp6zn7rgV+5uef4NjAGsZoDHFolIBNQS+78DdvUjJ6CdqSaEWZIz92E6GiZ3kpymvXx9GXlpjev41DtRJOpXDl0kQT67w0/QAFl4mOxYFFVPHpN+mPn8RXXMU4MItLLnNs8k5Uk5X93inqjRy3y9f589U/oWzW4etojA+d/M66MUgyjU6LZiWPnK9gnvhuL1BBp8M2OkxubgV14RbN8BgreRW/04Q/5EBu1bHRpyvJNGoKDqeJve0ypXwTq91Er1ahZ7Fi/hu6LYALm2maqThCs0i72kVrS+h7UC+3yRWaiJJARemSVzvk2yqr8ReJEyJRtxKy+jkZ8LNbT5JpN7mxNYcyV8FS2sPlUFDkCorfQ5woe2oCX75GIagnWTVQrgusZ/pMlopcNcyiNxf4av0vqfWKnGz8S7QRC/dUsnSDMbpljbzJwJN/fIrcnp2H33+N4fsLPPj5L2BqtZj/1z/JZlePQxknZd7lsL1KZOYQmwtJ3NEx0qks95wcw6z3kGrW2S5fZzG/ylayxna6xlIyTZYu//6uk1zd22OtdJ33DN+LRTaTilfwBW0YzEYMkSiN2zcRJOk7jutat0tjcR7r7OF3HEf+3hjT6jAUdTI3X+OeIxPUe1b62DFjZ6Bl4MyBEaI2H36zC5fBTNrqIbqVQI4NcHs1yVpuhai1jyINoF67wcRYkNDhM8zldpiv5vDEEwRuz7E9Mcs+nZvUqI1mosGg1mH/U1/FUciS/tVPUtLGcLsGeTO+SjAgMmmYZKWdp9XIsqlGMWNB363TtNUYsFroKFX2myssKDYG7CFUm5nx555EX22ycnSSreIQBkOF97/xNJ7VZa5/9CeIRQ7Tsk5RdsDYgEYNiZuFNGcmj6PP7OEeDtOtlCncmEONzNIze1gqVoiUK4i+MtHoJFNHhzBlN/FNj1FXBBqaEZvj7+7V+r3w/wlyNTEx8Xvnz5//tfPnz//c+fPnbz/22GPJvzZ2//nz5790/vz5nz1//nzoscceu/D3zfePQa72KibsgoBimMdUalNcy6FKKZoNsET9pNJpusaTdOvrLEgqZWWaTjLJPC38hQTZSAzNrhHomSlpeZz1AYztDGWHm6krl4ndvsjls+/midANnmp9AbNg5wO13+Llv/wYT/7RUZLrbkxGlQ898Dq/+PHLHDi0RcehobmdqIEIOw0X0qBMo1unIjcwVVtkDW68+hINm4spx0l21SQbyjWSjQrDlfejM9Vxedus3hpgfXuQDw/8GZFcglsn70YfsSHsdSn4rHgqcSTXGNnFeYrpJHMLcVq9OkWfgYzmwtgyojMn2ehJ/NbOr3G1epX9RZnn/wSq5/4QvcXHQvNlruYvEgrcj/HODxN77ut4L1+gcv8jOIJm1msZQvYwt/JV1tdLWBwKguKgL+URA4MIi6sEJkZZ2C5xx+QAL76ZIhYT0IQ+VVWjqnbo6PxYzWVs6Q6TMwd5cXWJvtImMhjBGA5jGAihczhora+hJuJ0azX0Hu87Xgs/CLlSm2mUxg5GawzZHHy7mWNHJXX9OvqRMLVaCeONaxz50L9gx++lNHQHynqGqphhO7tNKz9KLTbAhiNAIJWhIDu5ldxge81ARxUY9ekJRAK0axuYDS5K61dY1kuU9KNsafso6NZx1gQc1RZn/+Q/48omefZd76M2G2Gjq2DwDmItFdFpCpZan32GPCEy5Coy5boeUe0znLtFMDhO0ltnQHBQc7Q4+swL6HQmVg8EyAUFTjps9GpuUrkWBVVgO9MjZDHS9TjpCDmqxTCTgwH0hiV2Em3yDiPevER08CCJbprdWgeXvYJjOUE5MobQLuCiQDbsQ4g7KNqv8GTqc8iikZ858PtkehasnTphtYd5S8HdqOLuVJGqRYJaj6H2bew9lWZaQGgasbfjGPN1RsQCJ7/2OJu6UT587bOUKyYO3r3Fv/qlLzN75Cbm5h7iSBTZEsNRKrHXn0MSvcgzB3HJBhYMGj27jq5eInrgDaYjWTZXx5lbnGD5dpSp00ZSOiveyh6x7UUqJjf5fTGKefDUoClWGRkYoGeX2EtlEC1jpOJzZNpO+v0mDwRPctj9MAvFG1yuvclzuYuIWp/DwRPfSQ86ZRtbrz2D/9Td6MS/vWnomMwsXlnFpjWZOjSGzW5mvdpkcjBEY+4W6ZaJoTEvBqMet9eCy2OmWNdQ5pfZ6JmIeK3f8c/qaxpP3tzD0c1w5vBRDkztw0QBt7FMJBRlLOKk0+nRU/uYdSLtqsrO7g3iVeg2TETUHkJmk7WKipiqYtlI0Zb6aJEjWPb7qTocrHRyFBojSOyipm4xvjTHltlAy9TEolYIGXUkTDac3RJ1ZJ6ufY4RcZx3j7yfs04TVNqUh/aRTXW5Phfg6jNTDA3vcu6xywRSdR74yp+xOzpD9uxJMhUfroCHgKFHo1vgcuEmNdcQukKbnDuFw2ZkraTgaBtxa4NU6l2GB+x43HosjjDnBqNklBQ3Ursc8Q8RtLzlqp5NVQmE3tLtCIKAIRRGSSb+qpG2l9rVK1iPHEOQ/jZx/YfAbJFJ7JTx+K3onUZKnS7DNjMBg0xhu8y+af/bYo9BEtGLInmzE23xBufufQADPr710lWk7S02HTFut1JkSipDjiGmrH06tgDeJ76OEHGzZQthk4zUlSwzUTeTn/ks6ekxPL/2aUq1DklFxREBTTbRahgxuyRm/Q0CllECdpmyskJb8DBimUEvZWml6+QEDx2nhlhM4UrvEVxe4/rkXVh8KvvaOab/8quInS6X//XHsRRUGtFpBJsfi5zmRmaB2eAsLqMZfTDI9jefp1JqYZw5SHjIRddsIRwMUvMIxGoiW1tX6Dk8eCMxWstLuMaGsNp0CMI717/9k5OriYmJu4H3rays3Hf+/PnXgc8+9thjn/sv4+fPn/8m8D7g/wJ+4/z585cfe+yx3N815z8GuSoU11i/UaRHi+hogH7AjGLLMRbPs1QbQRt2E8ymER1OOo09LNYAy9UqXV2LGb2HhrlPT6fRFEr0iiPY4glMhwxIZQdTL32ZwN4mv/7oQb7a/jzGnhvT409z9euPkE/ZCQ8W+dhHX+e+D1zmzEgatVFF5/RgcjYQxSiL6SInRn1Eqglsq2lM1hiNbg/vsBPntQ1KsojNWuBe+2kWlT1WGm+Q1ee4QxsjK8oM+zRuvhnmwf5zTLUXmTt1mFv+Q0y00iRq4KSM3Mhgc49y5NQhiskORl0eLdDEWJ1kaqbHm/l1fm3pk+y09jhhOsPz5zNYrQNs/oufYb8wSVdvYqFxgeXiK4j6u2i5pzj85vMIly9x6+6P4tLleDHexiWa0YlZeqofUd1Gc4xTqq/gGZyis7BEYHyYZ6/EOTEb4VtLOyw1NrHpjTR7fbwGlYJmx1rbw2ALMDU0xFKqzHZik1DgrSorQadD9vuRB0J0CgUESUI0vjPbhnf6ETUrK4g6MybbMIL4tzVg1auXSdlEYmEv83NJDj/xF7g247i2EyzdFcJW1qgP7cdkyVExDJJJN7GsrpOLjNA0uNntVrGYBomXa+w0SiQaFXpKgkR8m83GFJKYodz24OxYWDMuMRy5E7mW4r4/+izJ6ACLp+7AUiow5LVjyuTpmi1Ydsq0ZAv1PZWKaqQYGkcSzFy13Oa3+R1GmgLj9gcotxdJGzvsv7GKL77Ny6fO4OzbqBhG8dUTFN1j2OpFRuwSzn3D5JoKO7sGzOYEqjmCpoDTtI0tsUfJMY2hu4e/lsLZ7iIn87hMKTRRxVVNUTRIbMujZMxpruS/QrK9yf3Wn8fUn2Gw0WCgWaRs7qLIDrJ6PVVzgIbZisdRIimPogoi0oCNHdXGcmY/V+ansP7ZHOfUF/l8/6dJHZ7mI7+c5IHTlxgqK9Q8QbSSi6y5g4FrNPqLtEyjdL1uKroekppFxkBfv0tu10t0YBqLtMwHJlZJdkZYXPTy2gUPsVGB+qCNE7eeYd/mAitHZmnIZjJtEwaTmXQqSbnmwd7eJVHV6JjcdJRFHPoDaKrKsEnmkOu/Ydjq4Fb5Ki8kXuIbG48Ts8cYcY5Rv/YmoRN3cbO09DZ7jlpT5dZ6HmHpNgceeZBS34Yxs0mr2aJtteExymhWJ6Xldbyj323+LQgCNocRuVXGNzTAteUc3YpCsa5wcTPPTKjHVCSIpDNjsRhQOkYk2UmrsgJoBH0+StU2VpOeZv8aFoeOAYcFg97FwfV59FKX8naBaltDiJrZ7YfYNxxhxBmCdoX1lonNeIVkeYcDLy3xk3/8JRwZhcrsw3T0beKtPu2Wk1C/xkVeYU2Z427rWd49chJxYRdhLIwhXmO1auTxPzwLgsYv/vSfo4552P/EG0wtXWXtzFne9M/iCUTZE1OMqGs0R2IMJFwYB0Lk+nn6vT4ppUdMdnJsdJCwz0JbV+BEaJaCakLSCqQacTw2J7ulPKcG9gNQKTXR6SUs1re3RtN7vGidLrUrb2CamERnf+ei6f8aaJqG0uoQdlvwGmUkAVYXMuybCXzPRvcmnYQm6VAFE6m1SyipXXxDbuTJMNlWmZDHzT5fm6B9lGRFJi2qDD39LSzrcZ766E+TXaozPObH8uRfErm1xMs/8XGe07kodqCS3sGr9xFzWYiFBfzlFoq9x4FIGKWzyEB4H/1Gk5MjBrwDx3l2vc6o0Megk7C6+niMHbwXrxOL+XHdfwh/q07wS4+TvPt+2lMj9Ebvwuy1spYqs9raxCQcQl9Pki3kWFxu0vKHGDw0hsdjRu1rpFoKE04HbpObBSHPlC9M4sZrFHtxTJpKnzqIfXTyP62g/QctbbgP+DrAysrKEuCamJiwA0xMTIwAxZWVlfjKykof+NZf3f9PCrWnslKZwzxloiEPk+yJqMYl3GkzywOHGTSVGVrIsGKrkqjskUzaKRTW0Et5RhQHvZH9yFqNbDVBKxdFX+8w6MhTylgw6bvENhZJuqx8vfs16Bhpf/YC5cUTnDq9y6/8++f5lU9/kZnIMuP9CjlbgFalR1+0Uu/62GyVucNhwJXI0q4Z6IcNGEol6vIIjZ0eyXELqbAOQTeFqdPgk92PERXCLDZf4jdr/xMbwtdwD60THsizXHqrn5LczGHK1dDaCgGxylrLgd4sUwsIvHQ5wYipSFlo0FO96LU4X1z/Nr+08D+QV2v8pOtDfEL+73FXmhQDMeqtDku5Ou8JfpCPDf13NPoVvp79BBfv3MetM+/GtbWK49O/y9dvGOmVVrG76oyMeklpa7QUFTnfo6f5uVraIGFzcmtzk9Vmht3GJg9NBOgVOtw5MM6ZgRF2Gypmg56y30dt4To6SeT42CB2/QALe+usFNeBt4LPVq3FhidEa23tR7p2NO0tQzrZ5P+e462NdeLIDA1GKMV36ReWGLg8D4BrawvxZoFGKIRS3CIvTDJs3OGkV8+JRx/moN/IIb9KyGthNNjn6OEQZ2ImxpVXWNjMsLnSwtVfxdWzodNKZPWvYZX1bNWrHPzyXwCwMXmUrYODbIVGSXic7Bi9ZAxjdFWBojFA6eAkBr+HkZlhVntpnqz/n/QFja9wmX5iE5tqotmtsh0Lo+t2GUgWiMpV5MAAHrsBr0ukpOqoNjbpX7qEvLzBsL2Josm0t29S3S3SnKuy3LZx0HiVQG+HbCFCuqJjoNqh1Z1mvLhA0z9JNmwmuvoq+cbz3C5fxCePMmp+F7ONHUQpzk2/nnjDRtYlYLIHGPOWuMe1THbHSiZu5tLrI/xv5+/l9/7De/jcfzzFfc/8Kb/S+nXS8gCpT53kUx9+isn6q7iVPJWpSeSWnbJmZLAlYty0oTM6iYkxouY2J/VZ9gdDTJVU/P19+Awam9sZJKeDYizHLz/yx7zno0vQ0/j8H4zz1MunePrBj6Pvdnjfl77IoKGJ3t6iWLVDuYLd6sPijWDPL6PkC7QkB9lWA6nuZ69R4WBQx2j/J3jmyBc56znGdmWLjzz1KI9++SF2bC10JgvjrlGWiqs06w2uLmfZzdbZL5aJHT+IbNDjH7BT9Y6yp/YJrMyhdbskM20ig07UXPZvrU3z5BTy3hbRUQ+7apftYgOvQaSXrSBKbxdJi6Iei+utliGN0jyxsIGr8VdwiV5q7TJJJcj49csYhmLEjt7F2feOc/rBM7wQVxkWjQR2d/jm67d5cS5DfimHKPXo1UocnLsNwOz1N2CnRCPnRaj7GBSX2PTZudJ6AR067vbeTbpWQ2yUqbc67BWbPPX1g7QaBh584FWEAxryhsjkylUAktOHqVt67Jo2mO0tI/qPo8T95OoaPoMPveRm3HeYD06cIBo0slha4tmdl1B7Ha5lU0QsJmb9+zgePMy11A73Rb+b3stn6viC39snSQ4Gcd57P7L/e8eDHwY8fiuFXOM715srOYbHvX+nNY3PJGMPR+iYo1hmT3P66DnuGTnGvz37IGbNy6s7O1zd+3/Ze+84Sa763Ptb1V3d1Tmn6Z7pyWlnc16FXWUhISEJgQJJgMFgkDHghPE19rXN9bW5GIxsMLYBg4VAASUkUNZqV5vz5DzdMz2dc87vH8sFY4OQ9WL79X3v82fVqfp0nT7n1K9+5/c8zySjfgu7duykcuMBdPkM21cn2HH7GI5RBxsOHqWlkshfNUAuu4LbmGS4w8WGLjeqlpGJ+QBzWYlCup/Hjx1kJtRkZn6RUk7H+LqFfKlBr95FwxqnR7fC3l2XE3n7PdTsDnRPPInCakbzxCEAwlftwtcxjN6gRSGJ6DwxhrsOcJmvzIaR7ZjVdgY8GfZusrGeKDCzFGQ+PEm3sEYpO0u7GGCjxsREM03v3htRZdWEknmik0HUOt/P7af/KLzR4MoN/PNMVPxHx37WuRjw00qJ/wl4eulJ7j31EZ6LfI3tzhTxyhSlWhfNehWvWY3G76PRo2Y4GGM51yYqalEtRuhMl+llgVR1GVGjQF8UKVdyWEsx8nYLgtGBnK1giK/zsavMlMUkiiOf4pLdAl/83P186APHsG0P0F5T0lBoSTlcBCINGhobyVaaaFPNQGsdXSNLtFVAnYwRLrkRajlsbQFXOkWjMUKjkiFSqxIQW6T1ZT6s+e/sla6n3M7xfO7bfLn+Xpx3fZQl3UWmjyZUZqQQYVHlwGj1gaBkIZ/CSgNDYYWQNk1FipOegn8oP8EXF7+AWtTye/7PsF3xIXztRQASNi/1RovuThP5iMgl7jfz3s5PkGtk+G7owzz7kfeRtzrZ9f1v0p8MUSqZePj4UR49cYFLercRVMB8+iyVfJNUVc+LlVni0wt8dN8Y+qKbmlDkptE9PHn+NCpRwKl1k6vFyChdNKwtKoEV7GYNRpseZdKCTWPnscUjHI+FscsSkkJEsNqox18zMfr/CrXS+kW23s9As1SkEE+hVCQQlpYJh4tYYuuoS0Uyo1sA2H/0JfzKGjUR9hTDmOUKnaNtEpkcFo+B5dQKcjJIrrXEFsMKTkOByVQPm9pZrKJMSVnnVMrC/LKe8UaGpqKPXlRsPfIyOZOF07u3YljJkXJ2sNoUMcoKxEwcR5+XLo2OjlwCrcXIuYUo38t/gQplyHSx0gzyg/g8p5QCw4UhZjdcLModDcfIZIvk6zUWCxJSdAqFV2Ddu5mD/X7qGwfRyS40gh13PcCgx4+214e2W8nBcB9LZTdadwN3KUbYM4ZVWGa96ifTWCEf8JI3VTkefR4Q+JDybjrKkxwzZZnDgCEs46rqMCYqeLxhWlkFDz6znwcf38/f/MVVPPDgAebOdSGpazzteyu/w5+T8nh45m/+koa1SammxC2HaNv2EGqEKS3PMqyoYNENU7boEeTd5OQEmqqemYyDQi5E2aJAaPmwDlap12xkVH6ieivjkoEb97zCn/zRk/R2hDl2tpf3HfksZ4f307W0yLaTT6GrNtHKCUSnm1BogvWiAcvWnSg5j7WiRS4nmVC1SCQ0xOPz6ExqMI/xe85f44+HP8o++zYOJo5wzYu38MEnf50Li3HWpteZefwxxgx1hp1qWuUSkuOiRZLJoqXZbFEy2DBs2Ub2xHHIJpH7+zn90hzNQuGnxqcoy6wlS8RCeQSrms5eK5u9WbqHRlldTrE0+6/njUrjoiJ3cDb4HJe5NExGFyi1N2A/fwb32+9EVEmonE405mFOzR5ln89FTFDxvXgbfX0dWV4no1aTaCSwFDWMzc5SU6kR222uefrrNOoVOt15SrrLyCuXiNeijGoHaTb8JKeqRNoGajk1L85tY/G8H+9QhGt2HKdc82JNrtG5MkdBZ2TOZUX0qHCkW8i2fk6vK5FiS+j2bKKsU6B06ejwmokupvHqPWx2bMChtWPXDiIKZYK5Oc7HJzm6fhKH3oteupilqtcaKKVf7lbfG4HZqiGdLLG2krpY+yX/Yta0W6tmZMMmNrh+YqmlVIg4NDY+sOtWSu0Vvn3mBc4uRqnd8V4ANr5ylkQ1gnFpHV0gzPy2y3G4dnDVkMxqYYLNG3y08lVGO3W8adSLa7iOUynhNnahFSREpQWv28v0YoLJqSjbRnUMaUUySjPBtSlGOzewfse7UJZKVB44jPu5Zyh5fES3DpPWdNDVZ+V09AJGfT9bHGYUkp5oKIJSpcfbt5VqKUSPNUFTqhBNGhHkfrSmIbSmIQyWYfZ1Xs5ceRXZvwlHpxdlqcLU84/8u/0vrxe/LPub16JwvS56l8Wi/Vdieb9M3K5/C7/3ip0nwo/j1o3iMHZTP9bAcdl1aMQaoZUoiaqVSYcPIXWCyxs1mhoBY6ZBUj+KVDuJSVDRjrgJufL0uWFC049TUiFdOMcZDzwyGkJM9/Mblw6xpe8wYgGUa3n0+iSS5EGpb6CJrFJS9aBUNJFXYwyrkkh2Awa7jaWWDvV6AX+2TL0l46kEMDayBMQoYsyIZCphsXRRy6ZRbpJ5h/AbjC3fwGzhFU4Vn+Gs8btc+PgjKM/BYCKLUiPT8LopBdZpe3WMNlScPf8qG8wG1mt5gikP9zf/lOXoeXr0A/z+4B9SCDjo2epHeuIFAKodNnZkpmkZelm2G8kkE9zQ/atkS3G+l/wWf7r0Ieof+ii/99k/4s6//gyf++KnGLI2iFdtfPXYYUY7B4kVThMLBNjdaUe07+aV9DyzJ8Yx9I8wsZxnd3cXJkUHT5wb58COzdg0OzkXPkXKPYI+MIHdOspus5Z/emYKwk3etf0q5lMLpJtrbO0aZt2mwzB1Afto779pTDgcr0/BN9NuYHb+7OBq9cFnSNQbjG7vp6JsI546huXIxUxa/CMfQf7bL2B7+RBP3vN2htfiWIa6UHcNsJo4h0cT48S4m5xCyVCvkUJBy1KoA7VqEa9/BycPa+ntXacYs6FpCZT64hg1DiqFGPYffBVVtc7Etk0s9/kZyUGw2kJX76ZlX8Iq6gnrHdSyWebmejhy1s+k/BVal47D+F3ol+6i8JabeWglxPYffhD5HXkc7gjwHWyhRRB3Y1s8xYRvFFsiSrOnm2KkglQt0NTnsPrUuKN5FnNjbIxNUe2Q8dZ2URuaJ13qw7w4Trvfh2v1OZIZB+t+Hav1Li4xrvKN0iTh5jr75T3QtxFlwUVnvI1Dp6SggbS6yfyhTv7+rztZW/LSbl9cQtzuNNt2r7BjyynueOLvGT17gnhfJ8/9zmeZDaXYYdeR93hYkCX0My/gMo5hzTaQNu8gEo6TMerQ51toTTqitTSNoo55yUmfo4A+vIwoKzFsTHL6pJZNTg0RZwjlSoUuMc+XPrLIl87dwjMPD3BT9ttMq0fZ+/gLJLdfwqGSBTEPXcYwsnk7gdU5CrKTTek0rlED5yNxmh39jMcusMOT4LkJmauNdnxCNx/Dw+07b+FL89/gsdVvcCj+BL/b/T76b38H8TPn8CaddF914Kf0k6K0cQYy2FxmMn1bGGwnWX75ONtv2kN+agLvWA9an496o8mxiQhmj4vRPiPTDQVSI4fT1oXWYMPrs5GMFwivZfD8M6r/UipAWZljj6eHRqMGxgqF8Rluvfs2hGSctr+DZKRAIlch124w2mugt1UhkiiTLps4M5unKRYwd7kY0wAAIABJREFUZSpsH19B2ajz7F3vZ+fRg2w4f5TbbruEU9kdLAnLnEseAaDXdAM1fYKGOcFCq0VkXMULjw+iVDe48u3HUamVmCIJlLkS+mKW6e37KHbqkWI2tthCLGV8bG6v0Rzo5bbLR/nGwZMcGO7DazAS1Kg4uZJC6xRIY8ep17DHtenHdUvFWoNAroTDfnE9mJ2IsHVn17+bgPHrhcNh4NgrS3T1WOnoNP/iC/73dT/j2FC9RVtScPvQVs6Xiygp8oOGhrd3duI89Cy62qcQvvY/AXB/5FYGLtnEoZUyl4oW1hIvUKkO0lGYw2D0sltn5mD0PB5dJ6JXg6vaTaXcQDXiolqOUCoFKcl7UcpFEpmz7DJdgfN3foP2l7/A2F/9BUKzQfkD76RTMqP32omxjlLp4oqhbgwqJalED4nIBbbu3Xvxxzu3Uqw1yKSLXL7FyImpCNa2zGDXT9iANzr2c2ztDM2oh84DJlQxsL/O9f1n9fsvA280uFrnJ5kqgA4g/HPOeX907DWRTpfe4E95vVDyae+v8/GlP+D7wfu5Q/X7dFnKHJ9JYzPLqMU2or5NQ5FD6RrjdC5OX76BshYhppwi1xyhHXHg75hHW08SbhoptiUWgzW2Pxbgw2+HttjmvZ2303CuolYo0Te0zNujuDr8ZJNKjNkGgbYLv7rOYZ2TTak6uR1u3MoeXo1mUQTXUSpVGLUCMcMQ6eR51hwjpPTzeLWgiyXQThVxj1jQq1VE5CYqLOx0387l8Ws4kzzC8cYT/O2ONEL7CUbKy9wcvodUS4e9puasusUlChvLtRDPr4Z5vPQXZNpxNqkv4Vccn6YZbFJ0WZheSrJ/fhYAlVZFZsRLPdXCk18mXTNwrhHgtoFP0KwKPF74Jn+u+2s2v+XN3Pj497nx64/y7F0fQ1ULI5ZlxmenGTVtptQMciS4hjQvs3urk3g+QSt4GpO+A49JptvRxUPHYjz/4gJ9Iw422Ec4HDpDXWti8bGnkDbv4totPg6/ukK6y4xb6aXULPHSzKsYNUNoNCZCF2ZReV6fYa3DYSAez7+utqVsmbrw020rgRUKZ0+TdnRjGhBomvysTb7AK4EyfzAxQdVkZlaqsL7/JvZfmGTbV7/J7Kf+lmJgHiLrNExdrAghHOoYoqLMfMJPt0pAUk4wHegjvzqH2l4hJWhpGluI+RpFRQlveSOCvMwVLxyjrpR45M2XYl/Ic1buxpSNInmUlFob0MVO8vwPhzlzaCvhhBG6DsM9/wN1tYMPX3olXdfV+NNQJ8kND3H6mc9z5vd7GNli48PGP8e9MIeh2GChHkc2lGk3VViS6+htnfSoLcQzp8jN1dBrtFjVdQ4qO9AmtYy61LQUGnTrS1T1LnYffpKxL3+dnMvB3932LvoGbuPp5RmetbyIqmWg9eJneeaJEUp5FemMinxORT4n/TiYEoQ2vr4EPRuyXLcrgLY7g5QLcMXn/57R+WlWRnv5yr0fZlARxt/XyXpVQWI2i0PrpJCX8E0cZ3HztbTjBZIs4my6kdNZqDZJZAUkZQptuUlCltBKedQZK4J6DYt9jGCyxUjDiKiVaNZDjPfu55PCd+nsuoOvf7GPDza/zAPtu9n393/H7Lv+mBVFHnXKhLH5MuYBM3JkiPXUIrklJyZtiniiSFLUMLcawSj3UFVb6EgqsPd1IHs6eLr7cr61+BRfPHcfvzXzOUZiP+B/+X+bbGCGiRkNw9ZB1D+S+4ilCoz6TBx9ZQmVSkFB0mEa7mP80EE0gg5pJczauSBZo5OtAw7ago5Xzk6wd9sYs8koq8pBrJWL47lWCpNKqFGqL37YTiVn0Us6zJUoZaWWCwURppvs3uXj8KlT6OJhymojDo/M+YyEwaxBFV9gtdxNvr7I8XWo54zYVQ7qYoRtU2cAqF73Ng4KJm5Z+Ty+H7zAqx/bTX/IxYONU6jbOq7S30qWVcxrCR449maOvnJR6Xz/B87QKUep59QkLBaum3gMgNXREbIJB7trATJtPdX1ECNvu5xKqsqF+SiZVp0upQbKdXo0agzaOieWFxjuGkSqNTk0H6HNxS//RLXOzRs6icfzF5Xn0yVSqSL/X0DfyMVQ6fWuVT8Peknk9GyUjZ0yfUoDFzJBrhrYQvD6Kxn8u3+k45mn6X3pBZp2B4mNfZw+/TB+YxeCVc9SUMYonuHQrJOdW60YJD2VVpPlQhJ5QUXnoBKjVUNxZYW1cpYtYxtQad1Mnp8nrDBx3wM/YMPgRvZdfiX6l5+nJSp4rtuLMu+gVQ6QTjWgbmItmkXVaBFfy+PrNBMOraJUXQwqzyZybLEZSCYL9Ln0hJNFnjw4z/ZBJ5LyYhDcLw8yoZvm1HyNTT0y7TfQZ/+W98L/bv/z8EZD82eB2wGGhoa2Aeuzs7N5gNnZ2RXAODQ01D00NKQE3vyj9v/p0Ju3ssV0gGB1iYncY6zIXtx9ZnJinpaziboqoysn6ZqdxKi1kPP7SPWMUcypqLXMlJx6As1RTC0FmRbkj6/w7c9uZnngGU74YIt2L36lhjfJkIoaWFKVMXUoSRW1+KaCyBSpWd28qvOgL7dIOo3EJ4q8HEpRylTwmwpkd4yQlUTygKjTsti1giwZMaiHadm7qG7ZRcQ9Rj5ZR1wKoWuJ0GyS9zi4Wn0FXyy9kwcfhM6wnSnG+bPiJ/lHPs/x9EmSdS0Nr56HcuP8U/HvyLYTvFN/O7/p+gOK0RyLZS0CAhqzCls0AsCsZ5RSfoWmzUrd1UlvaZ16vsbKeoVR923caX4/2XqCu3Ye5viggx1PPcOWpTXGvKNc3+/GYdCRVoTotappF91UjYtEVmvUalBXJnAa9ByZv1grsm/MS59fxdmZKK9Ox9BI3Uw0RKymEr3tGlq1kuFRJydPrQEQTTSYn2+TzBWRu/xUV1d/6WOmUcui+GeFkeWlRfKnTtCq1VH1DlK0qHE4uklHTrM0naS/VECVTBDfPkpS8BAY7aFkMTN68hzl1HHUQoJWt4lsGloBqKvbJBUiUk1Fuubj5PoIzbYCuxjFbs0TjLpJZoyUvAIG2jiZw394Ens8zdzYAPaGEYdjgD3tCErHMOOnHTzwJ6N84g8+ylOPjhDPahnbcxzte25HEOFPO+7mxlEVOm2Fm7suB0WNnR/+FC5HiqmznTyVexOacpnpaBlztYa/pWJEruO1ahmQ2+iEMH0GE05DEsVaGXXdTV1Ok24USNQiJMJ6stQ5dkGH6Rsv0ECBPprgk1/+PNpPfI37o0doiFVq3/8ih569ghNH3EyMW0nEtKjVNfoHUmzbsMydd03wu395hnd/7DQ33z6D1pZHyhW45c/+itH5aeZHt3H/r70bs2AgJw5Trpdoa0sYvCJifJqGvU3Jb2esfIIO82l6PWU8zTxNux5JUNPXr+NyqYSiriMhKKlmGiyGGjhENT19q4gWNeq1JAaTwOTQ1Vhmz3JaY+Pt3Y/x+7/yGI+q38r3uBXnYpArzj2Mp6ll2qNntQLGtQZbhAU0w10Ii7OUGn7ktpshk5KIoYFdCnJ6PIhCUKJoKdlk6Weu3uTu0kZeuvG7vK33JqZTk3xy5g/xb9jDQNXIQmaJM7ELzKTjeLU/soVqt8lnK2i0KmS3HZOcJaJQMD0TQoquMhA6jyjCeKrABuqUM3MMuQcJ5Mu02m2a9TzNRgmjIUNg7hwnwqdw65xYazFEUY2g6mR5chrnpm34OjaiqaQIrZcY2DrCcwttxOZZjGU/r67amQwdZnrVTDOmptPiRWWawquT6Z4+Tah3iLm1NIXLd5L0uek+dg5foELK8iLZdpqNlkuIB2Kc+lYnn/6bezn6yibcvgJ3/flJRoen8cQLrHb6sSjSeAIX53543wC74qv47XWSOQd7r91FMV7G5TPyUmCdK7ptPzWPa/o2laoSt0KJS6NmxKJn1KJnxKLnUpcZ5Y+YlOG1LB7fv0+R+n82BEFAKXtoV+IMWweYTc9jv+deAEb/9i+RszmKN11DTFRi13kwWjdgsI5gcu6lofDgEi2EExd4+vwF9g1109fjZv+m7ahlJcX0JKmiCkHUoNJezK04bSU2ufei7mrRWY8SvvkOAKpXXolKb8buUmNSCeiqFq4adlGrNTk3FaXqklmqmVmKLTKdKXAmkaPXqP0phqTHpmPHkJOz83FCiZ8EwmP2EUw+HedX6/+BPfuz8YbYgvfee+/qfffdt+G+++7778D1wEfuu+++N9133309995778x99903AXwFeB/w0Ozs7JO/6J7/EWzBC7NFmkEP84qDzDPNiK2XjowCszFNNu3CY7AQW4mQ92nxlWuUiRBSLqE0DtA9FyBlsOESWijaTR470c937n8TorDKmTv/FCUiv226C1evheqcTNK+kdVakHZBg/JklMToPubREZeNGMQ0lpaFWJcaVzqNpqBlwGXAmk9jTOcRbD50YpolR56KkGFEsRlndhVNpIKsarHfraGiVpMmTo/bwnS6jGTyompmULcVvOuh5+g+fTXPlf+I/v6zzLQXON84zEL5CEeyCxyMPY0aDR/u+zW6G+9GagSQClrUrQrRskC1GmX/s08g57Osffz9RFatSLVF2oYuVlo6XMEpQloLBnOTvba9VKsVJkoneXiDktsmamw6dozFG96FINXx6M0sp/JUpRq1oohf0JI2l2jUlSznk/hDaWpOD4FihZogs1BOoJf0NNtt9DURs1IiqG5jXZ1B6xvEpFezvJolkS2jliX2jHg5NDWPx2pDp5ZoZtIoTaZfOBZeLyukkr8ovVANBijPz6Fyu5H7BqjMzjCr62TAWUStdRM6f5AjYRu3zR/BcmGSY1ffybTBRi2vpSYVGJicJKdWE/LtpBmtUnTpcfjNhEJJBIWI3TRGPLKARZuhthBEM6xCkKwUkzpiKiVm3TzdqQrpUJ1bvvMtTNkMD7/7XSwNDpI7puHhk5fyxD+OMnG0h3hMpqsvzs1vOcmv3vAYJ7d9gVBjhpssb+WSzktoBMsEEOlSGXgpc5CMepEPHBhiu32ZeEDDtbVnePD8XRws7sXsP4vNbkQIr+O2LCKJeSpzaar1DmraEJYOC/lijmCwk5XnTDzz4BCPP3IpvjMT/Grjq3xTeDefMv5PtrdP0e5+jm9ePYc/4+c6++9yx03T3LPvCe5+2wq33j3LwPZV9nePc91bRXR9oNe2aVVEWtUFmpki7/mLz+BaW2P5sn38zZ33klUa8Hb6aaqmcagkkkkJf3aOJbOX3lYdyWlB6HaSG5+nLF9CvaZjyFmiJKjZ4/IgjY5hqBZJhWFNcrCptUqo0oHFFMIXXmLV4yOfVqB1DdCUarhzFRaKeXb6ymwYWOB/jH+Ad9T/ic75WcKDQ7QbTpKmKBW1g7bPjyGSoaqroFuPUs6U6USkUl6lkRfwJIJEskrUJiWK6XPoFtaZ1OfxFZRcKY0QbZV5JXcKQd1gR9GLr3cTHr2bs/EAtUaUei5HYTlHPR5FX02QmH2R9FqTTDyGxVWls7cHhcbA5EsH6W7XUNsNNBIpNO4ezColi/kS6tISh+Y0DA77OTazxGa3HrIzCKIarX6Uxw49xnD/PrpdRuZOHkGv6WWg38vXT0YwaTWEE1ryySWMphRGZYtUREShdGHtN6EIHuOa4/N0Tp1j+S3vJDO2i5p4iqbbR8+Rk5jKq/xDb5CF6jpj9d/k5W9fz9FXh2i3BK66YZYDH55GYV+kd6aE4KpTVmgxrRa4+oXvUHLame2/hN4+HZPSIKP+Lvy9NlLxIms0yWXX2dsz/OM5nKs1OB5d5sahIVbmklj/hYeiIAg/Xg8uyi/84vXjvyL0GolAJI9ZW0MrW2kCca2I8+ARVIEgAOuf/TOydidOpYAkX8yaqZrLBHOdOA1FFE0P5WKKrCqK1+hDFhWU0hMIch+xxDpe7wDlWhO9RkJopYnHJbYPDfHM6hk27bgMuvycu2wzbd0IdVcZUdGJpgp+p571uSRbt3hxatU4NCoMSrCpBHxGM/LP2KIVRQGvQ08yW2FpPYfbdjEAc+hsqDQK9OrXtiz6WfhlsgXfcM3V7Ozs7/6LQ+f/2blXgL1v9N7/XqhqWjhcRt6ffTdfqn+JHyYfwtOtxZYapFyDheUjKOUm+pSWFY+SEbuAqn4plpkoGd8W/GdPEO938a3n9nL0uUGUUoOR99/NSQ18aq0ftauF+UyWlDSEf+57DI9oWV3QotilweiwsBJpM+SUCWd1lCw6SK2jbAsYZAmNWEPttqHIpwkVVpHqc3gUNka0NkzmBUYxEe7fw1xzhVMlA0ldFlltRS4vYBZtGMvzxDxunJUqTVFkQFomdfwODoxK7N62wMnUE4zXjxJNrmIXu/iY67dIlvXo9Qtkc920zBK0G3jKOUyqNKb1IHmnm+D5EmZfASmWoJQ6TqnZjXpgO+5UmMqqinHfDHvkWyka2ryUf4DLflXLq1+Js+3zv8eJ//ZX6NrLbPA4OD1bYLAjTDzlwV1wENDM4jH7OdWK0Xf8FDPdI+ztSOLWaLHbzJxaTNBn1WPXG3llNseUILJtdhzd0EbcPiOnTqyyd6OHxfEiY30qXpkM87bd3eRPHEfd+ctRS76INs1cjmaxiGHnLgAK585S7BrE1oihM/UQu/A9JpJDuDpWsH/hJeqyzPmuYcSiFVWnicNX38LlT/+QzT94iROXf5AB5TkQXUQEK/P2OsamH2vgeap5H9r5NLZ+DXWVlfU1FSYxgqmdIzafZUbVgUuZpyuwwnJ/Dwva/bz4ue2Mj3sBMJirXHNDmCv6vs+wr4jSLvHo+gQT+SN0Kvu5Sfc+omgJGKaQCzZqVTdjpl2czhwmZnqZ3juvw+hNw+fgCuUr/O2ZD3Hswm4uvXKCW/ZmWbNtQr+SR6HVkJ8vcbb0Hk6cqROc6qBWu1hsKwhtenwJ/qTwB5AG5bv0HBgN8I3qr/NA9bcQW0UefyCAw/0upi77OJWGC61xgQszXfiKGUKd/eQrKvxuHZVkCcmqwno4zJu++1dYUlnOX3st99/9UYwKFQKwEs9gaLuw1bMMqkrMu/bgKNuIzBxB4zGyugbduj664/MwPIyQUjB26Q5ys9NU3F4Mu3dQC51gU7vEnG4brtISnVMJzg+4ade9LLda7D7/BOHOjRQrU5hUds6avPRdo+QOZ4RP/9lf8JXs+xn59nM076yiK6qpWCZQFvO4DE1UCjslTQKhYWK+6UJn8yEHf0hk3x4SsyUU5QmMjSb2S29gf8cAp6Pn2OnawvtmZA4fPc1fT/0j+0f76H90DqFnEwONJg6Nmsl0irA6z4YD3RSDQRanFXTu3sdlxXVWcwLhcICyWMVqgNLJYxTbJYSGRCOQgk3bmYtEOZguYnCH+d7xCD61n9mZAEaDgFEDC+OPYXJ5EKUmiyfP4R/ZTXJinKdSDooVJU3tPHaPBXXWi5QbJxiyYCvlMHgUZAIBSgY3veNP0RIVnNh9LYn8YXotKnJXHiD10FN4jp3k8DVa5IaLFz77Ppo1FZtHg9x4zxIFU51aZZ2eqRaJbrCnJRSihCOxgFwrs9Y7TNthYFrScN2+McIrWeq1JoJKwUo0y1DXT2xPyo0mi7kiXl0LpUJJ75CDpdk4/SP/mumXy5Qxmv9tki7/lWDQqiiUM8idPZSz83jNw8ymFkjdfCOuC+dobxxj2qtjp7WfWmmdRjVNmzYKycCWQSeTSwLrCwFueNNuqvl5IskJoo0CdU0ns5OvsKHTi8MmMbmQx6opIMkOOroMZMJlev3bOD37Krvf/V6CB59ANBQxKYbZZDVwLllhfjJG34jzx1psACptB8X0JJLa+prP1eMx4rY2OD4ZZbDTjM0k4zL+27UPf9n4/5VC+6nYOoJYp6NuJiTmWCidoiVYuITteCtnmTY2qJjV6Eo9NAUzy+saKOWp2HppTs2S9fTwzDeHePX4BozWKrd/9M/4geHbbA3DRzRXoO2wE051oLCVUHgbaKahrOtF3b+BI9E1PFYPyWIaLXpkIUFFYcYdKdF0a7HMXKDYUBAtrdDUGPDb3Yzt2YOlw4NqcQHF0A7UCg1uj4amLo2rbaNZMpPMZHAYHCyWU9RUdvStBlteeh5ZqvK52ieJhW2813OGA8YddChvwik5eJP4fkpCPzZlnVKricVlxd3hJKsQSdRqbG7NMPz4c6x5+gldPkI5ryZiNCBJWYaUayhVJlpagWqlSH5RTU1T5irtToxmN0eLh3hkTMl7friAUmMjMXgpumaIeLNFu+pEtkQoxlqoTDJmyUFRVSEmpBnM5olXdegJ0OPow2TSEooXSdXrjPg9TGcLFNdniZStVDJV7AaZeKHKxjE3gdUoVpeDVLyEx22hFo3+QuuD1/OF0mrVadYLVGdW0G/ZiiAI1KIR2u02c0UlfY4qldVFgskmoWyL/nqYjQ8/ztzYLo4OXEdDUlMSU2hqJuRslv75c+Q66xzVbSZdMtIoNVAZ2vhjKtKBJn3aFHJBxJkJIlQqFPNq2p1W4pJItNXEIPZz06Nfo2NthX8Y/F0+9+g7Ca1Z8HeneNu7z/Ged0xw6a4MnkKIRKnKdKHBV8p/hVKQ+cTgF7Hb0kwv11GYu9mVi9PsVONq9XA4+32yrRZbVJuQLF1see779GlWCLzlUtaWzUxN9/Dy0VFycYmz57088NAI3z+8gfGzBlIRM2ZbgUtHp7ny8hNc+c4lbt30ba7/4aMENvRw5u4PkFU5mczfx0nFItfr9/K2JQ++86foevpJGvoqF3IbcFvyNGw24pkmXd0OFLUK4ekFRicOcd3992HMZnnq7Vdz5Pp7KNWdtKwZ0rUMlvUqXbU2WZ+VuNFKKWWjSy5TKGVJKjpQKCdwdffSaHYxFJmismcPysUQE1U1y8kya+s5+t16Gno1o80F8vMh1ofejLu9zrpCpFeTZz6mZ1ibRj1yE7nUBSrUkSUPro4kue5u2iciXFo8yMOhG2H3RgyFMAGTgEWpw2DTUK6UqVkUtFeidBRSzPtsuIQkLbOJwlyFlsqFRhOkKMpMR/O8uHCSekSgp7ObQ9GDjLei3L35vSRrCXq370Pt7mB5vsxVl26lHbvAuZcXWOvqpllukbWpqIYXWBwaomyxo/NpKPtb5GwWEoUGa/UqqycO0lqcQpFKo05LtN1GLh9Q0ijG6e/bR/LoBK/KYGsJpOeSFIx9TIfzpMIJmh4bxcYq7UYd72odbWWeQMyMXQmxLjtCp0QhscRO9Rg7/vFLBMZ2cnLHEM5KEpNbZnHVQKbDznLiCN/cWKdx7Fcxxq/hrbef4fq7JzBaYV2XZjBQJ2psM1hKELP2MCK0cB06Su/aFBPXXE980zY2bR5iJREm18yxsh5hVV0mnQpz1eAWREGk3moxmS6iEWL0mfxICgmFQkRUCKQTxZ9S8Nbp1MxNRfB1v/aL/L860oUqeo0KGimUajt2rY0JQx3vqUnmP3gHvbtvRhREFJKBcn6JZi2HxjSAUiGyHC4gCW1MmhJGez8mrQundQSrUkMh2WSwu4/1QpiVbIhGdYUECjLNNIl4ns1dnSzQJvXqD1kV9fQP76DXqKNQrBFZzTIy4vw5bMg2rUYZhfTaPoGSUqTTqScQzRNNlXCYNW/IKu0/XUT03wP/EcHVTLaAZiJA3WykxzXMufgLLBcn8EoGSrottOU8zugQZZ0WV7NAW2/HbLKSjEYoVxw8/I1RTi8N0esJ89t/cpKvNf+YSjPLIw9C7Pr9LK34aexz4tVmUBQazBguw1+NMVuTkGQlxWYIqaxgwOFiqrTGcNWOqNfRdeEFoj3d5FVRXH2XMlwrk3FbiEcLSIESjaqB88EMBrWeRCLHTGQZX1uDSRlkOeWnpU2SqGmQlZDWarn0+WfRZ1P8cOwWFhd70ZlTdJgKCBY73fl+7I4OLN063AaRUknPYiNOuChRzCXZIgfQHQvQf+4E4ZFRlnddSSalQIGBugIy7m7s7WlayWWSKTOF7kWcSTvmDj/upAOtbOJ46wSPjsA9j5ykNrCd6XYXW9xl0uoaZHSEVUH02Q4MVit10UBDlUdsr1DL9BAuGimXTmOQOjHatKjKTVQKBUaTjSOzKYS1dQydPrZsdBNZzyFpRcSKgpw6jVUyURZUqMMBVB3e15xcr2cSVfMB2rE6KlcHSr2edrNJaXKCZUMnPdY0Qr5GLp9iPGpBFVtj8Mmn6Qgu8cqNd5C1D6LpiVNtN/DbmpR7fYz88Cn0azkWLrkTXyFCtZWlvl5iLe+gd5OFfLiAdUgiPTBGaSmDfaefBdoE2jP0aLbTiq9y5wN/Q1jh5cbgg7TaIm96ywQf/MBTF1/iDQPtuQhCq07SrOar+S+QJMk7vPdywOZgZr2CxhpG3bbi1k/jahcJVIaJtY6yUJxii+EKbJo+fBMTOIMLcMtubtt0kGxfm7UlN4uzDkJhIzpNhb37Etx48zzXvONZ7tn8NL07g7BbQ7ER5X1f+ir6XJYX7/goEUFDujXO/fUHMaHhfZp3kn37W6mZPVgnx/GevED33DnC/SOkun0MejXMj4fJh3OMlhNc89U/Ql0u8uyH7mDuihtIOTqxamUSsQDumIRJgrxrBLVeIhBW4RazqGLTiH3dZKtxXEkfJYWZemWVYFVHaTrIWUGFYDDQa9TR67cQqJQwxKdQFcGu07GymCRm7MDYyqPOVdD7lKzFFPiUEbSOEdLZeUhr0dpBUVexetlONr7wfS7LH+Izwd9EN6qjqzLLit2NuaLAUc/TasqUyCMU15GaXlZsOjZUwyzXbKzYmiyESyRbAtf3WBmKZGBTJ4riAApNnsOhg5Rk2FrbhNZQYvxMhN4RD/nllxk/DwVPL7VqhbgUpREz0myo0aptKNU2dE0D1aJEU+2hrCkQLtQRhnax+epb2bxtI5r1FUpLq8SlPN2u3ay+eppZs4xDLJOIOzB0dhNNrKFtJmnUi0ynpp9HAAAgAElEQVSUK/ji01jTegSbgoWqjratn7RZi00N2lqOSD3D1hcO0zN9gYW73s68Hoa9TlDomSk5+MbDVzI+fD9Lzgo3Rz7Iez5epWcojnZxnvNePQMBmVKphnWogCrYpO7wo56dZ8epZzHmEjx+zx9xYLcHr3OQakxk41APzZySVFPNzWPDqJRKmu0255N5ttiNrBVCdBl/onskaySy6fJF1XX54uaNpFQQjxUwv4Zp9f8JsBrUTAXSeF0OaqUQSrUFh93PC9dsYMM1tyA0frKZVcpMozEPolDItNtt1hNFRLVMI53C6tCjkLS0223OTl5gw9AYerUGm8ZKn81DIpJiU/dWHBobotzm7NIMdXWbYKPKpu5dWI167LKKwyfX2DrqxGD82VY1CklPpbDyczUG/yUcZg1qScHc2msbkP88/N/g6g2gXoelR4PEI1kKjRZCPYnS7GeucIz1ZoIu8QBui4MRj4JmsU4y26a3y4akURO6IPL1b+5iNepk+9YgH/vY87wY+Tpn2if5lbMCb4t4ODZyC4XeMcbEJO3kKiX3DvKFFtO+fkzJLJ5CmGZLidoFK7kGHQo16kQFQ/IYBYeW8mgPlwgWRNlGsbnM0PAecook7vAy9p2XIbQEqtY0VblEp8lIVRIJBCXq2hqqtRKSVkm5uUZR5eHy4y9gDkdJXD/CyxM7CKQ8XL3zDE5aRFw2HO46KDNM5m007EaUcgNleI3BRhlZWUGYSjI8fYLpK6/ikei1vHJoiGq1gtVbQ9UoMFm3YrfYMdtD+PJt6i0l0ZUskqyiT+pHJxs42j7DAyN1bnj8CMKm61FZXBjFLIJapFISyNUqNEQJv86EV9EmWBGop1ewa7tZqjSQSqusVnQMO41MTkXJhbJsGzag4CwmVY2J9TwaucbCdIidO4dYWVnD7HaRSZYxOSy0w2uvaYvzuoKrwjqtcAHt4EWvt8KZUzA0RrZUQ6ysMT2fZHGthSGeRPZH2f7Ic6iqFR699hPItiT6bIJa1YXRZ8fo0KOYX8Y/M0HGrSOusRM2WinJfkydDprjiyRNHczqTUSqBjROK0yfIlmtYKgbkTVmhr7zMlsCR/lM6w8JDQ3ygVuf4bJrp3E4LeiKQSrZLFIlQUnR5GnD9zhdPs8e8x6uVuxnqqJBbU5hKmsplDPU9H7KJRGtEEXV1HK2fAqjQoGruQFrM03X+bMsu1wsu3rZqp9l6NY1et2TXHn1PLd+YJze4RUYCuJZSbDo9xF1WpHWclx/9GU2vnqEaF8PJw58EEk/z/2V+4k34lzd/QmuqbmQSisEvX5WRq+FdBH/8jj9Rw/hrESJ9PSDoGYoeIHr/vrTiM0GL370Ho7vOUCHeoCMlKcRP0p3yobscZCxdrGWDLO4WqdbTmA016lEWxS0PkrxBCWhA1dDgZc27OmmKWbYqILrL99Gl8sA5SCG6AqJYJ6gYMPSv4GC1EJXbdPSWojISuzrTTDXibeUeNtNtGKZlK5EedWGoy9NLm4lMWBk28mX6cwu8pmlT7O9K4imPoesriPmlCjqKfS6ToIdOzG3osST8yyWQW2sUCsY2eMdw5xep5SQ8YwO41BX0Ws9+HRDvBJ+hqPho1g9HhTTkG+okGLPczLuQy4nCOlSdCDjVaqIqurk6jo05yYIFGTGk8ssxSqsRMvksj62teM45SzNtpJKXU/NVscZWWAmpiS4miRZbyPICeKFQWSrlVS+QVeHm1Z2gXJHlVaihMmkoaiFpWITtbaHsS4NoXwKoxyllM4wZlew/2vfQqrUuf/uW9iuylEyW/jOi3v4p/+1g5WwjsBb/oTBVIu/W6tSHxlCKs9yWuXAkLaiz0TR7LRiW0lRrinxtGoEKzpuevYfiHX7sX/yDlwdF9mEmWQJvUHNbLaIri3S4zbSbrc5l8yzyWYgWopiVpvQ/4vMh9GsIbCYxGzVIooC4dUszg7DT21L/Z8IURRYTxTxOs3UyhEk2YEgCPiNndjNph+vic1GCWjRahSRZDvjSymGuiw4LRqW1mqY1GFkvYtybo5IwUpvx092CuqlNSIFHS6rCVEUkQWZxFydDpWNlsqDxWmix6glspYlXa4x3P/aW3iCINKs5VBI+tf1jLJK+YYCK/i/wdUbwlNPKfngx/s5eGIzh1/exKvP7iZx6AB4pkgZjrE62UP71I0sheyIQh6VUkcqXGItZOfLXxqjkNdw4LpJfu2GRxg36PmnwhcxtCS+/60Gwf4BLuy+hn3mZaqlKIveS8jkQaGsISpMFOoNrLIRe26KhHIDOXkcQyiGUA/gufpNbHN1MWq2oTXrya4soNs1jMVipLIwQefWMTJZFYMjHo4nT+M2j9Fq1sglVtnv60Jdi5Os2ciUchg1ZQrVMkNTK7gDy4xv30dYsrAy303TWmfMOEV9YICi2KSUM9GjL2JqxvHPzRGVQdKZMGfSdC6F8M6d5ZOLn+GhI/uJrBmZvODnwgkv2XqdHiuUFBUwp8i39+HWxfCq6xTSNUxGJRp5B7qmlanWCR7qL7Dz6ElU7hvR6jSkWMOslFCIerLhMopWA6FYoqrSklPUqFTGaSrreIxGCuEIa8E4KMs0FbBlqAfBNUZp5QjawcsICzKLoTQd+grZUgO10cJmn4UzKzns+Qhq78/PXv2iSdRut8mfPopx+2UICgWVYICarOW5pSKK3CrF9QTauhKjVES0pklERPY/9j1mRrdyZPMOWvo8YrrBgC5OoG4ikyiR0xjYdOxlago4u/c6qqo0loYB2/oCFa0NnUdJKQ/WTI5yuU5BEjEqF1HrPXzzS2N8+sSnUNDk76//DT5y58PY+6uoTCLTi1oK6SYmqY5QV3NWzPHd4jcwi3auFf8bDnWRVlZArhtRyVa6FDXmQ21kRZ3u3DJ67U4OF19kqbTIlcabWI1ruPT0MxTNJrL92/DmI0R6TewySWS6RPLFTgSbHsVakKTdicOmQrEcoScwx/bTpzBFYjz7jk/gGWrwlGqFl5M/YFizhcuN78BgrKKIVVFX06Syesb/H/beO1iS9Czz/WVmVWZlVZb35tTxpk/76Z6e7pnRdI/RGEkMI8NIsGIxEkJiMZfgwg1YYPcSF9i9QCxsXMEKJ2GFQIaRNHKj0UyP7Z727nh/Tnnvq7KqMu8fI0YoJJAB4gZXev6ryoqKqIj6vu/5nud9n/fI62icvovIyk1Cl2+QOHsWKx3u/qsPYIoCH/v5X6B9Z4xx6xCnUUEtrbCrGZyY8BJy5CnWapiiwF2jeSRXlMGeSZEAbWuGeT3IsVPTKKU03vuPocoaZquP09WltLeOWFjGVe2S26gz88Y3sG5IpM0Oo24/1moXn5BidxAk7/QQatoYVlO03QK4RrFnrzM5KlPtiyhSlXLIQ3Q3xbHci6y0xvmDlf/IiZFtIMPA5kQt9+nbeiwrAzKiSbJqYLf2caoBtF6BoivMaCNDpaiT1xL4vR6E1mV2UzJH/GM8lX+KvXqaCUuMAUtc6Y3gbm2Ri1vQ9EP4E6PcMiroPYNepUneNsTqLJGMhjCtUYI2D1OjHhSpRtMcw0jvYqqb6H2omWFsmzvUrFXyFg9tI4CuunEpVsI+lXR/nU4rR0udwpEp4tZU8kYfydpnxD9kI9XH9DYIDWNs99LM5gcc/tinWD92ktX5/TRak/zu7z/EU5+cxDTgtnf/LinXU/zIsp8f+MJNzh8eoWZYKFkOktxepn9wP7XiBrZ0k+q+27DtlvDtrXL0xvNUHnsU7Q1vwCK7KBdaaC6FQrbB7mDAHRMBZIvE9XKTOY8DRZJYq24y7fn6+Xcev5315QK+oINWvYf2bQz6/fcI0zRpdfs47VaMfvs1y+0f74md6hJ2zz4GnTw6bsr1HsmwE8UqUdeHNKtWVHGRbMNBOBBGU79i6entNG5PkktXUgxafTrtPlP7grQbPWanAsQcNkr5Jv2+wdAiEvX/85afZLHTbW5/0+rVvwTfJVffBuJxg4aZQgtV8YTAJjXo9qy0br4ejnyIpvdllj/2E1x/aYoXnpvg2WdGOfvcOOee9yEI8J7Hz/H9P3SOgj3JxzK/RXqY4r9kpnnwfJGzdzxM67YJdqwequ6jKAMvhUwDh0dAaA+Z9AzIiUPS7jCOyiv4UhUUu503vO2dTASjyD4f5U8/gXHgBNnt6xw+doYbqy8zapXRkkfZzTa4oqdIOqexNF5hvzpJXa8QmT6EmsmxLeocGYisWGwoYo7AWpWplVtc2vcg8USKF28eI70T4PF7b+Ht7GEtCoi7JWLZq/TKQ67K40zldmmIDZ4+fw/xTz/LfuMW/3n468zfX+POdzyJ2lfY2gyzfnOUy+dGqLeH+KwKqtKhPHBicU0iOds08gV8qQzJwH34hGl2Ws/yZKKIffMikvdNdHoG9aEMukJXctIRGtT8Ihabm6HaZ9DsE86bbPUtWMMKO/0anXYYm8fNpc0aPp/GnujGm3uFQ9OzLDU32NxqcPexOZZWUkwnQoS9dm6UTHzVFHLw6y/Ib7SIOuklREHFFh2hubrK5dU86x07Mz6ZWP4siuRjGLBxvW+y0Skx/dwN9i3d4Itn3o4tJiPbgnj9Q1pLNbpFg73wGMLkPOOXzzG5eJVLb3gLRiPDXL3BrmOavlPDGPQws1CTFIqBLp2oi3Pnj/AXv/4Qd+4+x4/xx1w6dD/Z7xuhXgjhcRuU20FaxQFtT5Ly0EOxlOaPld9hQJdH+7+CRxwSUARMWaVsusl3DDZ1K/rAQqohUB34cehtehYLS/0rTPliHD94L9Mf/WtEQ+f8iTNYuy3koYN8MoDhbNK2GbRXi9itImYvSjybx17JM67AwY8+QWkkyid+8AfYMst8OPMBdKPLW6Z+gdsRWBvG8asKnc0hdXuLBF2sQ4Nrj34/w0aPxNoNEos36as2/u69v0LlQBJJVWHZxk2bhV3LOJP+g6T6KVJ1F6IYxGaNkBVGMNsqvnQKZdbPlGBw5qGTVG+tUwsGaKgyzWKR08kw0fH99K6cJ1UvkIzOEj59z6s387iP1XIT1WPFV2uijc7jryyy3DIhMkat2sOVr2ChStOVpFfawCZ5qPS7BNoaNw8/wOHnPsVDfI4/6f4In1+4B+dJC0HzOmuqj6ahE5STHNe7FEIHwWVB2eswLrRYGvbo2EUCgSHDnk6x1iTbimO20uQa+zGocqN9Dh8uRrtvxOGtUXT0MAdRcDe5qefoN0VkJY3VkyGBjel+mYw5h0OVsbsVfMIubXUaObuHORXGSHfQ2y56dfD3t8lbwujGHnvtUY5OBlBsJlu9BYbDHsmmg2K+j6BCvrHHoDtOwDtHpt2lZO2yzxOmkUmjqANu+9zTxFbWePnxk6SLx/iv/8/b2N72sG8uw8/+4iu84v9Dir1dfjzy8xx59ixmb8hS4A7i1TJ78Wl60jrhloFjYGNoddPqDDj+0hPEs9t0fvbHsM7fDUB2r0Y04eFmpopNEBkPu7hebjDhtKNZLdT1Bv3hAL/69esvRfFVW/DmpRQHjiYYDI1/+UHz7wAuh8zKbpVEJESvtfNaV+A/7Im91h5WWwDJoiJYbCysrnB4dvy1i2rIq3LlVp6Z2Vm2CgIzXw44NU2TzG6ZWilHt2OnIwgcnA/j9qpYLBL1aheP00ar2aNR66LLElG/A1X5xn11omil3yt/W/MCvxV8l1x9G5Bl8PtvEdhXYuLARW47eoHDb65z/NFdzIaXlPQcvqPP8XByP5MzVXyhBk7HEJ+7yfvecZbX3b1AbhDni5UFnm1+mP3KCL/1KRFXsczlex9kb0Qg0EvSsjrZKNRwKCJJ3wiiuUWuWyBrqxNvWBmvF0nYpjg4tZ8tWxXVYkOV7dhGR1l45SLJw3PY7U62169ixCZY2upjuHtMee2MSnUsaozMyg323XY/i+UVop4kdjPD8h50caA4yth3M+y/dpPssXkathBZ1crOyhhl1eDMSAWj0iCe6JOLnialOxDaOl88dyd/9WcPc+3aKL9g/hZhIY/jl48Tu+cFWm4nsQOrnL6rBFaB3LbG5sIoF1+ept2QcI03qakNVHmUthrC5hlgZY+edIRTltvI5T7Ps/4ctfQLxLR7GJEG2OhiNYb0GzqG1MEl72LWYojDEFuhNQKtLpXhPLLHj92dptSpQ79HZbvDCbdMb+kqV/MLjOZ9bAxh34hCvtLC4fbitStYbTJbyztExr++evWNFlHt4nN4jp2m/so5VkUVxepHkYf0L32EDaeP5yxOmu0UGAYF2yTv/Is/wNZq89k3vBd7yESx9tnLqwxO3YVldRVbT6alKHTcNg688ixCq0x59iBNXQWHHXt0iJ62gU+j2dPpVdp8+n/exZXPHgKLwcedb8ffLfLkOx/HYbNhDUZoKAEGhRzJ6X2MJkOEGlt8WPgDts0Nvtd4Pcfle5FFlYzdgZ8uA0OmIbuZijrwWKOEBkNqwR4WvcbUYISnB1+g2NvhIfcZvBdvEdleY/HIXfQkG22rm4JNQ2hoaJV14naTW/URbtevU68XSLjdJD77PKG9TV5499vJ+CU+0fgMO61bnAq9mbtsERTH3aj1MlsVibLmZ27UiyGmKA+S2HaW6Zw+TG7+FEOfl8u33cMrJ+5in7GDpQZLET/1QYKQf4BDyJMv6lhsI2i+EWJOO1p3SNjax2K3EjhgxZ2R8PodVEstCokg+XyLM/0SjqlpGpcvoUy6ccUP0RpzY0fD71V5Zj3PMYfGVqOEGA4Q6neIznphr82tfJH5fQdYyJcJmBKxYoHrhopT6OL3DhAkg44kUoyPsv/cc9wzco4/rL2LhZcnUOdsnIo3aCkh5m4+T/HgaVTNTqciYU5KtPJWJkrL9Hzz6PYyVZtEpS3TN4eYLgfVZpp7OnZeNq5ySb9FPH6CSEFEjk/R7pfImWkibZ2Ip0tSO4BTOMyeniPbGzCv5Ql6FEQzj4UWsjDA1ttmaHfT9uxD6LVx2jNcM2ZQCxkK/hEmrDk26laq8joOi5PxgsL1oZNKaQ+tncXeDTNuS+PyjZPOGdi0Fs5skYq3yLjHxen3fwhDMPl58Y/5wN89jGmYPPz9N3n8HSvYEzX+Yvv3mHQcIJx4mPlzl5heWWJ7/hi3guMYlibBXJbJTo/08TN4V1bYbvV55PzHsQ90mv/9dxEVB6ZpUi21cTgVruxVSCbcZHs6814Nu+UfAlFXmPfP/rO1l7JiweO3E4q4vqVD9d87suU2Ya8dY9BEkJRX50o6FJrNFv1OFkUbASBV6uMQi3g8XwlnFgQBzaVw/lKGSFjD7A7JpmrUym1cWonwyCzegAtREqm3dFyOV8NvXR6VlVs5up0B4zNBtjINJmLfHFkSLSq91u5rNua/Fb5Lrr5NXN+skVlZI9o1cU3chdTJUhJMwh4Xxe4WGfMa4X02Hphrc8fRdW4/neWOe9IojSrLQz9bKHyy8sv0zQ4/2X0H93/2RaouD7fe/hihxTLFZJhuR8aj19ASIjv1FOgi464K4Yybe/waa1oEbyJCYjSKZ7vEjtpFEATsDg/bl15h8uQ9nLt4gWbAw1xoil65ieLrkJRlJIuGtJIhm9CIOCOUuxXcnhDybpY9l4KS79DzKETSK8xduEl9KspC8BijzlUuLhxmbyvKPceuoh0exejY2LyS4fPPzvORD59iZSWKrAx44NGr/Ket36HpDfLS43eR0ofMVxqILitmSyZ49yp3PXyNiGySSXtZuhXllacmqO8p2F1d/CGRXc1HrQQn+hepG4d5U2aEevkFXgyV2WucZ9rzZsaDKQKOJqv1AGRsFCxd6n03QsBLpDvCrp5lMn0dX7dDuKMw1y3g6PZp1je5kGqw6w4T7udRei4EbYRXSkvMzwTJ78Bo1I2mWqkMrbTX1vAkvna05T+3iNorywzFLv2dAgvRScqpPjeWn6G1u4jz2CgD1+s46R6gN0Ggj7xT5KFP/A2bc8fZPjFHz+3E2KthH52jVOhj1+yYhRLjB0ZZHNc4+tTTjG6scP6h92FaZRyhPmzqDOcTCMMhL70i8eQfvZFyxkP84CY/85bf5K3PfYrs2ASXHvs+jL6XZHhAarOGHBhlOlrGQoNnr/8Rfy++wKQ0x30T/zsxm0K/28c1NIhNHcEYZBAlg1TFSa/eYCBZcHT82BwuKuIaDb3FUn+Zaf8c42md6MoSC4dvI++aYTZzCYtDxSkKNHWTvBLmYGmNXR00uw9Z73L33/0Z7VCUp978Ji7It3g29wQBeYQfDL+HuhpjuHeJRiNC3usmPqgg+RwMhg7QlxDnzmAvrVFrQMoXIzMzi2ZpoqpVFgdBGjUf0yM9Ov01WkUf4dBRipYcCYsXUZDw+exM9LJshSyE0kOS+6bYu7ZKdd8kpiTgLpYIjcQw1peRYhqKL0FLsVLtV/FZ/FyvNLkz7mW73CYs2snrZUrVPvGZGWYmFSr1PJuLDezJIOsWHz1DpNXxkK40KZVHKHesKEqHfChMaH2TAxuXcb6+yzO7Z7j5ygR9bcgdkQJ1U6RdrxKcnKDZG9LRywyVEJpYopPv4dVC2CQDgwg2zcKg2yeeW6cRisDgIAu9L5Ju3eKh0CP0C3ZSdoGE6KQniBg9N6KlzF6zSGfgxtpLUBiuU1GtjFhV1pnBjgCKDbFQRW2s0y1sstAeoaB6wFsmUBnSjvfp1dfZa4Zp1B1k9D6GcR1P04bsmsSanKbrcOFILZB1DRnVLHjcLYpGGfdKjpNPfpG/kx/nv63+FMmRKm/5qZe598QOXpvEl/IvcaP9Eodc9xGrT+MaCTBx7mUsnS61A4eIDK5RZ4Ry9ABU20i5HWqGhcee/jCdU8cZ/uB7Acil6/gCDi5tlSgJJodjHsaddqQvH7x9Y0CpUybi+MZWklWWvuVD9d87nHaZjUydSDBCt7GO1RbE4VAopq9h98wiCCKGabK0U2EqZgcMROkrtqlml8mkG7gsIk63QjThwet3YPQLr4WIOu2vKmSxwKu2nyAIqHYr4bgLQRBIF9uvPftmIFpU+p3sa6nt/xb4Lrn6NlHKt/BVGhSUEK1BgU41h16N4RAs7Lcd4VLrKXZalwlLD4M+AV0JpZxl4BnSFcJcND7CavdFvle+gzuMu7j96c+Qnd0Hs5N04/vJ1jZpWiRcrhpexygMfETNFttNiZGEnUVrmKHTjSNgpWHz0HB5sd5YJyUNubJ+E4c1RGvQB7XKsYCbVt1Ohl2Ohkcx+k2oi4iKTDQ+zc3SEocC81wr3CIZmmXY3MKsmeiuKZr5S9z+4jVSk1Nsn74Tb6ZKMSCwdWucPU0CZcCf/800f/XkfWxth9DULm94fJEf/aUFToR6HP/7P6a0f4YX7ksi9RXGSw28gw4D9x7tnpu26uK+U1buO3idxHievayP9cUIF5+PsbmuEPOB3zFE1Q0itnXW/Cf5kWWQ09f5UrzO9frnUC33Y7FaCYei5IdthlmFaC7PwCih7qZweUVqCSf+MiwmNQx/BJ/LQtecpdtVSAs7CJINizOHsDtgYI1hePPQdZL0e5AsIkG/xrVrm0QSISzWr5ae/6lFZPR1Ul/6EpmBjauuSQI2hY29FfbrHW6/28tWbp5DkwG2Vl9BtNtZbmiceeHvGFtc5flTb6Ae9WLaFEpCnGSnRj/VoGQfQax3ubXQYbgn0TYdHN14ka2Kny807+XqtQSXCuNcfx6e+UKEG186iKT0Of2uz3HsnV/gJ//2C/gyaT775h/GYdZQXG7662XamorcHeJpDbmyscT/4E+wSiq/4PpxBOdhnOYKjpBEq+2nkyrSChnMO33QrmO4ZPz+AIVMg3LfitsZw9T63GycQ+qUOSUcZfSV8+TDXhrHz2BNb6G4/Ah9g7pbwl3YxeiI2EZilEQ7h1/8HGPLCzzz6PeQOrifD+38T/pGn5+c+g0s2ijJgsluR6NvlXBa25ScYaSVPXS/Ck4fg9QNMuGjCHEnar1OZnScRKBNXlFpZRWmI3lWq1Vs+lEmojJVycm4JUhV2uLUxAzjIQebi+vI4xrWHR33oMqKPcbArZDQVKarKa5uVJk4MMlAqrLYqWMRLNSHNV5KZbkzMoJDtqAqFrLZBnaHFbHVxBgMaUh9XnfoJFfqS4yk+lgbRXoOPwnvHqUxB/56mWFAJV3p0B62sBwZY/qFC9y+e4HWO8a5vj7DratjlKsi428fRbm1wCBoIRSMkNkZElCu0KlHUKM6m9sOegLkXQqVWht3c5tGIsrCloOJiBPTbHGrfYXe0IOt5yGmeokrPtxWLwZ11vYUJoQmAa1Pj20sHRdGI8cNZYAw6FIRQG53sd1YYmsQ5KYaoq8ICL49UrrKsJ6n1u0jqDbmdSsdvw97/waObSfBgA/n2BT2oYklJLM8aHBQ3yXSqXIeN4bs5+QfPM9Yfpmf6f8uM3fpPPZ/pglZd7GXVIKBIn9S+Euq/SL3+H6VBwQL244gk5deZmR3lY3jsxQ9x/C2OvSaPUYztzhnS/JQ5zrTF8/R/dH3Mrj9JADZdJ2KXeJausojU2EC2lfXSy2Wlpn1TSGJ39y82u80ciVbJXZyDWIBjX63jEXxIpo1dF3AIr8aonp9vcT8qBeb6qbX2MSqfvXUwuSIB1/Age3L9VbGsIsx7GBRvmLD1po9VMWC/OVB2LJiQRAE2t0BrW6f4LeQKyZKCr1W6t9Uvfouufo2sbu0y3JPIzEaotNsk+l3Ea3bVGQdp3setwQLrfOUhD32xe/D79vCVquwp86QNjd5svp/4xWcvD3xE0y/eInJxZtkT5/gyUNvozfUaRtlAu1dHjj5fdh7A6Ibi6ypFR50+IhNzNNuLDHtmWVuLIGmbxELJHGOjqJu7GFdSnP49a/Dmd2j6Okz4pni3Moqd83vp9/cQdUmaS8v4th/EEmU6A66DIwhbsVFyWwRKjbYdtpp7VQJ+Swc+MwXyMbjVO6Zp7+j40ikWLx6iI9nbwIAACAASURBVN3lKC8/O0E6E8QfbvHIAy/xPT9xle+Zeo5y3oqls83Rpz7PtcNxFkaT3L8yRLEHWXUPGRpDYqUSXnOUJaFGMrYP6yDDY99zAdcBk2rFxuYNP5ee87O+qDF0uXFqdcYc65yPnOF9L64wvp3hiYku1+tPMacliPR6VLI1LDkdl2lQH3ipxINYjC5tYQ8UCceuilDtsNtMoVk3cTuGTKhhjL4NTUzTybcIjhwg3++hOwvYym6CoVc7SxIjQZ5/5irj03FMYKPRYbfZxaFaEfpfqbHIV9osrWXJ/P0nMefHkQ8d51DCS7ORI72yQ3zGju4eJxCKs3PzLHVUGj0LnVqVB594Aq1W5VNvfieumEKzF2b7lpdf+73X87mzB3nxqTjPnp/n8uUZXjk/zVPbd/KfeD/x9CrvW/wNVtci7C15yGwFaRSdTO3f4Mz7/prQvjVO3lS49xMfpuIN8KU3v5OmrjHSXeKCOIJFc4EnwrU6/HXrV6iIZd4S/klm6jOMxZu0BRFXL87AJbHXrRFoaVjVMhlGcPrcJJwqblHEOjQJhPyEti1cNM6x3N/insmHOPLpZ5FtFlbm9uHwJjB21jFNE7W6Td1axe4MYE33iCtV7v2zP6Jrs/G5t72HP238Pil9izPht+PVg0zfqrPWC2FarQi2DnYjSMMPDZ+Lkb00jnE/atCJvLNMRB6gTxyjYAxxKYtkcmECMZOtbhS1USEqWam6k9we9jA/5iPp95PtprBvZjlvabG/40Qe9ljWwti9ToayyFytwKBSwT01TqadYc+scyB4iKDdj0OLky5v0x2UAAi7vAwlgVauR0E1cOwWic1Ns1zKMhkJsqkoiHEnDbtOxZJCaRiUPUPGyyohfwS552JlEMEakJm5fJE5Y4mx7+1zKT3DwtI46VWTM/dlGKykqNAn2M6xPJDpiiP0lQFdzYfagH35m/itQwpagtKmA4fZQhhaOV3z8rx0g1u9l5mdeD2n+l0WrZNYbAqVvE4yuY7feQht0MbpPEKvYCdpZOi5euhkMHZLNIpe6ihseF305QDelk6TNhbnEK/NSayqEZ89SUZfxNtaxb3aI+1K0os5EPs1IoEcwsDCtq4wCFWxbkvsdXpc+Osz/OyFX6WKl/M/+hBnflSiVsswXWohzVh4uSbwmcIHmFUP8U77W6ls7+LeWqPuSzC5chlHrYaacKE5VCrIrLpGwePhzZc/int9k9Z/+XXMUIhUs8tmto7fa6eRa3LbTPir9nnTNEm1MiSc39ycUfjOI1fwKvGx2yyoqodeYwvRbCIqowA0O31qLZ1EUEMQBAZ6BUl2IQj/NFntNNaxOScQhK+kqfvdNm6sl75GoVraqTCd8GD5FodjS1YNvb33VQTuXxPfJVffJm7kFymbfVqlASuFLMO2G69FZy6yH8O2gt15gkZ3g7XmRUKSjaB+D72Wi4JzwDPt36ak5/gB32PMmPcxcfYzxFI7fOo9v8pg2CYr1xhJG9gcClq2y/ZKjpQvjNoqEp64g5XVKs1eG79mUKtaqJTq1KpDmtU+A7sXNTGGZXORwYEZ+p0cO5UhcW8I1djF4TtA88qlV4MspVf/3F6bh8XyCnEtQqqZIRKZppRbpdOUGA9MMfbRD9IK+7g+dgBFMtCqBj2fztriJJFIlTc/dpHHTj/LoUQOr81AUWzY822SVy8yeusG1+6epWOL0g142VAbhBxjVNQB7ZjI5GobfzbHM32BAzMTBPUi/YTCkfkFZg+2GOhDVhcjXL8a4ovPH2SjHGdS3SRz8HX86FNnuWO9zSf2izxXPY86aDFfGEFy+tgUXCi9HgT9mBUHsj1G0drE8IpQHRIZO4ns9dJRbuJ2ati1cQp5C0H7FpfLIA/ctJQqfd1G0uvFKkuIVgtKOcNz+T66zULCYSOpqdQNk5dX8pSKLTKlNtZihkhxk+jRA9QCKkFnkO6gw+dfWeFwYxddCbNHDEMs0S7lqGthCusVfM0UDz7xUTbH9iHdl2RNO8jOFYU//fPTIAjMHKuQGG8z7V8hGM8xPZ3FfbxEwMxxqngex0MmoZMV7nprkTe/ZciZt64w+oYLDGkxGTjO6c9+mvjKLS6/8VEWDx8iIAu8rB4lOdzFNz1OU5B5rv3HLPSfZ8ZyL2/r3Y93wka9W8flmmTPYaXTWKPv8aM3rYgtC05rn5jXTy7bRAs5UCSR7VQZpwiyTeJG7wLNoY03LXXx7+5x4Y230VcmiVh0rB4XFUuVjmeEodNB8lCU8Gf+nqnrN7h25nv56wNFnm98hqTtEO9SfggvEmvWKIrFYDwUpN1v4UmGmegK9K1WuiEZ3/JV7H4rtrBCKd0gSx+/vMVeVUbWBZoVHy4zx37VidypkNjNEdNMKBUQixXa6T1ywy54Q4hLWUqJEB6rm5Qq8rqol+aXnsZ14gRtN2xlrnHHxAPYrDLVXh9dEogrKlbJiiiIrFTWiXk8VGtD4nY3t/Jl5p0SXq1LSYhQqu8yFVIotLdQuY1jRhPd7qcm1nD0FLC4kftdOhE/nvQe4zdvkYuEMB90USjYWLs5wsWFCe6cvYlXqkOig9UVxPTnGClXiY13qQydhOUumX6AYs5gEOsw6VaQshWkoIYqRrjWe5Fy5zoP+96EVs1R73RxbmxAIMG63KRl3484zKIbJnV9hAOFDMNiBNmnk9Pq5P0ioVSPZHIMYaREr7pGKHgHXhJ4Ow303BIkxnDeWEa3z9LyebGqbmbVKtsWG2v5NiOBNkbdzbnaKB//H48wu3iVd/FBLt35COojs+xqRfS0TnNsllIRvlj/EzK9Vb5feiMH0ynkWpOO1Ud3LEli7TLRrU2yd99F6Z630da8ZFsG8YjOQx98P6bDSek//1cWqm26uRZHpoO8uJzj9okALofyVfv8Vn2HqCOMavnmu/++E8mVz6WwsFkhFnSht1OE4gfpdF+9cF5eKXDbzFcUIovsptvYwGr7p2MT+t3C13T0CYJAptQm5FW/KuYiVWgxEvrmohX+MUTRit7OYLH5/03Uq++Sq28TqYUNGouX2DW22Tc2g88eQG9kCIpukp4AVtEDNh/L5WdZbt7gtuI8vclD5IfPcLbwCeZsE9w9eC+5TppHP/MxTEni6be+A8UvMb07RBbsuIcK60kZbBE0+ToPvP5Reh2BopLlyPgRAgFwey0EY2PYpD2C8VE8PjvW0h7KyAjLrQ2csp1a3sJUREd1TdFPZ5E0J1bvV6cHRx1hrhVuMekeY6W5xXRDJ2NAu9Jg/2c/St2usnD3GewzEqw0cMy0ePP3yRzfdx4lJOE0O1RG/IyNdhGcU+TDKs4rV5laWGD5wIN0A17WxhM4g7dTK11GtScxdDerwQqDwTz3FC6z3Kmz6dhHolEgY7Uw6Spx5K40r390G4+tTbkgs7wU57mLBzl3PUltIspPLDzJQ7sKTxyUeUVfp+Kr8UjsNM5Zk1BfJ5MTMCWDerePJo2zq5dRQiFGcs/SdDXxKicR6LFRTNNrmVjlPslaibwSQAu56FirlFdNSrrB9UIdMRQgkN5B8wUJOG1cXikw1A1CDpmeKhBKrxEMuKGvUxqboq+3qBk2FvM3Ebf6hNQBg9EjuLpNCqUqBZdCKD9gp9zh8K0rzC1dZf2+k+x6ZkjXA3zgAw+g9yy894c/yRvv+wyHp59FeqDIkUMd5p0bJCZv0Asf4uSFJxnr7VD8uR9j3tyl6tnDl9uiIfbo2SxMpobc96H3gyTy1Lt+Dq2wgxmJ0qhZiB2M4du8xHVpm0/mf4eA4ePXjv0Go1KVolem03ORGngpt0rQkIlZvcjyBo1qGLe9xrDrQIlqbHe6UKyhlWvI06McMZw82foM+UGWtzUSRNf2uHbsDKrSxFarsSt3yPknmSw1yI/7kesb3Pv+P0cy4a/e/Th/WH8/Ego/Fvg9jLaPzlAg5FZx+CUK9SpqtEtjmMIQDBSbQl3QaAfG6aRrlG0KuOyU95ok2tt0mn5qrRjj+xOEpzTESIRTp87gGwmzciND6Og8jrFR/MkpzheLnBAcLDTbHD16kKVCg/m4B/Hs09jn9rHp6CK0UxxI3s3V9Rqa28Zeq8uJZAD6EuvVLWZ9U8S+fFnR1TI7y11GRwNcX9pi//45gmINq3OUatGK090iYg2zayjYqxsQTiLmmggegWFfQKNG9vAhZp8/y9jmCuWZUYSHagzyTtaXY5xb2cf+sRWGQpiuW6LalBh2QjTbQ6wOG/l2kuKgi8+bItAZo2WzYxgmq32RSXEUtApX6lcpDG0crnlo58uUj8YI7HVxe8BllRlIdmx6nm6pTa2toE/EyBJE1BI0SyA5ttl2lcj3yxwxDhMXVBS3k532GvrQTnzzJkVzgnzAxqzdwO3scq7qwyKlaJpusGms/E2UD/+vu+g0Hfx+7KeZaKyz8dbHkUcmyZZ7yA4T2quo2RW+OHiSntHlLcZPM2jYkLxDoloD0Q47Bw8yd/Y5kBysnHg9NtnCVNxJcO8C+z/+BKX7H2L9voeZ9zpolzrIPhur6yVO7v/aesrN+g4T7tFv6Wz4TiRXovBq5lUs4EBWw2hOB+22zna2gddle60QHV7Nmup38lhsga9LagZ6HeDrdvN5nQqru1VC3q9kT32r9Vb/GJLsotfYwmrzf+MPf4v41yRX35om9+8cA2o0R5J4PH4K69cQ9QvEhS7h9eeo3yxhz5aYM1zc6//f0M0uf+v+IFZpl0/tvR+rYOH7fe/B6Y/i6Jp4ikXWp8cIa1UmxEmsmps7j4ZQAm6KVzMM1VVaUUjVSwwGA7p6j2DYhaIl6ffKDFpF9PUM9Qsv0bxyCdFmw+oP0GplyLUEYprl1RZZU0LPZVFGRr7m9wiCwPHwETaKa0jbGUrDAY5uhqYhMPT6cNSbeIw8qaaKGrQiST2qWzcQ7QH2N7ZQDkyRDEOh1uNsfomC4SJa2AWgERrDaVoI7G1idm4ScYwTFt0MBibqwMEwusfq5AlMWwzv+gvs5Js4JQt1jwO/24qVDm8/vc5//T+e4ed/8k+5/84F9KGF37n8Ln7O+G1uX2/z0Q8lGB3EON+8zC/lf5FSZUjL5+R0JIfFreKt1JEGFY7b/QhmiquOu9la1LmWKnFjs8+8fYAt4UAfjDGw9PFJLRqpFrropOhKoWpW7p0MYusLDLo6F6+n+MiXVtk36uXUwRhR64CJ1VuYkzNs5EqURsZZKeWw2IKYxjaDdYW54RJ6/DC9UoNuL0u7U8Ha8nKuMMDnETm0dhmAaiLCpjjCH73/NO2mzPe87RIHR18mVhHRdJV9ewKENJqKHVtNojsxxrUj9xLf3SJw8SzV2jaBbJtsLE5H3+SOvIvYcy+jtWrsnLgHo9dEjCe5mRGZH20gD3xcdozzVzu/imSK/PjcT9M1DHZ6GoIJfesENieEBRPGJtFCQez2UQxHBb2mEUsMOeZ3cnurhc1t4js8Sb3QhsQB7rPeRc2s8OQhJwDJzU02G06u2ibYs0SQUibb9lma6TzKZ6/grlRZuPt1vL//F/Tp8qjzZxl0nByd7nN8LMSI241NCHHPkUPMCgewVVUCjhC9bplmo8J6rsRS10P76hBbq8n8dJ2d2DHkyEledzREwyhS7Joc9qlIoogSDHD40TtZffEWlYVVNjN15oOzvLS4yel7bmdvq4oRsOHfXMGQRG66WoRUH2HVi6w4sDos3MrVOOBzvraW4lqUvUYagCnPOEdDh4jvh8X0NugiV9b3MPpNDvldtJUqHnEep79JxD+KzRFAzhZZ9Om4K3Wi8/vomF76NitfePxHsHda3PviJ/F0HbzuPX/DbY+uUy47+Y0/+Q901kz8awaOhsK2owGpFk4PFLQOnnGIuW/H380jLS2Tc7XRBBfRpMDDznfjFaM8U/swl217tLUg0/ZDLEediOstcu1FzK0slnQT/xQ0tRDWhW0s3hCprQqxkJex8H4ON/IcUT1kg14y9TyrvQWsvim00hKZQQzNK1FVB8j2FIPdCicjGRKXS/jqNT75q4f4y4+fwKZ1eecvfoLXFc9SC0Tpqwrb9j61TptYrUx0e8COpUZmmGafeAh3OUPXmyE1N0rFapCdkyjvH6U4miDx/FOwdZYmBfLddQ6t33h1r7v3fuY8DoyBgWQRubJXZcL1tfU6pU4Zv+3fxjL6/yOifgepYuu114Zhki23iX8d4iM7Eujtva/7PXo7jWyPf91nqmKhqw9fe52vvKpkfbsQJQXTHGCaw2/84f8P8R2lXG0NVRydBaJDlZLsx1ByNOMSA7+NgKOHkk/hqXSYbBlsmhmW+0us1Z6jOKzwiP8NjAV/kFy7zKnFF5i5cpmFex5ha/8UzWGO21tVhv0+mwMbk0kv0dQ6+xxhij0f1ztX8bvtNHZWsaVLUNXpNNZwTp/EcPfQxg9jcXsotPIsV5YZ6UwQS0gojjiNSxdwHj2GIH41Dza6XVq3bqKn0wT7MtWQnZzTZMpQuVHSObVwAaWQ56U33sVgEMcdLjDYbGAfmWS0nUWNOHHIe1QUE1kxMO23UShucO+nn8BZa/H8w6dY2zeLVTVQS2lkyUDcHmIf2UfbMBg2spQcfqJulboeJGqs4ar2MKU6St6Lyzmg5jFxx8apiXkeCL7EnW/MczC2zrP1U/gqOR6pPU/v5R/i0ribjP0SC52XmQncjtIfQbZVCHkMxGaFuDPI0BZmrb2B27qP6NYeIzMRbuX7dPoNJKeJ2m/SK4u0TTcVrcvJ0Tkq+R1m4iMEPSqeRJTs8hpWETo3rjMs5BHaTbTbjuMQYS1b5KZF45Cjg6yALCoUlxdQpQg5yYnfU2Cj62Mo1Bluiyh6EbQej/7FB6nEI5y/7SF+7+PvIL3l4d4zSzx+6C8ZjE1Sm3ZxRRQgrNEvNhEGLXSLDWvjClvxCHe//BJKfYeX7n+QjlihrGUJeubwrte4+5N/hrNd5wuP/zDNmTD1hhfTsKObJeq5DT5Y/iWKZomfcT7KibEfw73XoBNtYWtOEo3ZcDs6nByIOMdHsWgyiViU7XqWmZDG7kaOdn0bTRZIxifJtnUsDZ1ssUVCjfOl9hOkFI2fPFtgKAts3B5GtznwyE1GAgau0SoT1jIP/MGHsXV6vO+njnGhfZY7vY/w7si7sPda3NyR6coORHWIqveQNSelSge3K8ByboMZ7yyTXj9+vxfNreAdUehnupQMO8fnTpPUbJiJAEUKTDabZMpWvD4vVkwwDIJjQa5f2qa8u0G3Vyc6tBDeN8GzaznuMyo0enXWIgLHE7cjdtLYnBPkewNMq0gn3yERdLx2U9VkB6vVDWLaq51OgiAQdYWw9mTW9RLN1CLayCwOmvTEJtW6hiCLHIq5uFmx0aotMOc7wK6uM9Hdo+uYhdV1msdH8S2uMLG4QOlkkm1vkJHALpqzy/qtMZ65OosYyhOI6TS9KfoliYbbzrS3giTvo1joku3p9EbayD0XijbgSslOV/UQsMss1F9iQ99hVnoLvVoFrzXK7mBIfG0dS7KBPnIHrUwPwa0gGCqFjRKxcQWLwyBr7hJuCTi7IlJ/g6qwQ6Qj4MheY9c7haXcx22v4tDilD1Opujh29jjZceD/K9fu5Ot7QCTh9I89suf4tHNp9h//iIrR46zNOZFWljneC6H0LVSsNs4Z1xgS1jle5X3MK1LOEbjxAtFiuokxcAEY+U85vwksS8+j7s5oHTvA9iHNQ5//O+x7aTo/LffxnS52Nuu4Ik6ubaU577bk19lNXUHPW6VljgQ2Pctnw3ficoVvNrRt/rljj6HQ+Hl62n2j/uwWr5WdxElBb2V+prCdoB+t4j8dd7/B1gkgWKti0dTWNqpMpv0/ItsPUn2fLnL8V93QPN3bcFvE9XONrsDP62undFWi01D42StQ7kLVxUrNd9+yvI4FqPA2MQ7ebn4CSrDKiE5zOsj/xdyT8LbeYG5l66S2NpC+JF34/GNsV1fYWfSSl07QtBscOSO29hztzCuNHHsbtFqFDjlmcI9McOO1qfkkmg7vSh6BlnxgiAiSgqfXvkY98UepFMvEEnuo7u1icXrx+J+tXvDNE26m5t0N9YY1us45vejxBPIoTBhV5Rar07a1sfSaTPy0gU86T3OPvYfECsZhsEwWrpIfdwkaWr0tBYppUms1aKonsSi9yiZi7zlw5+h4XZw9vG30G6O4tWmcQTiLBeLhKwp5JSJwzdJym1nWFhiaDYZ985QsYVxtG9QGLpwZvaoSgFSukazv41sc7CqjGO3tkmO9Th4KkX66Dijl27wxu4XeOXqb7IoTdGKf471DZOR8CghWSVvekGykslLJHp5GlEBtd/B6hontb1ESnBQ63eQ7A2aDjehVgZRd2FYaqwZbmKqiDnoI1vsXLq5x/7yCpOzI1TKTWQGVE0rTY+Xheu3cE5O8cBIgHQtxVKjRvPGKrRVqp0hPm+b1YqGYaaZ7UjkC0UsNpWDS88zd/kKi7ed4FdWfoXFaxEOzmzwyDvPIgd7rHjr7LYEopqXft8JLYmer4tQtDPRqiPbRMJbaSZXVrlx6nZ0tw+/S2IkN8C3scrtZz9PfmKSG488RK86YKtoMi2u4VGGfGj4l6x0Fnh96FEe2/ffcTo09Mp1DsxNolojDLwlDtckCskJpn0uREGgXGhzcjoGSpPRmo4Qm2LDhG5jh6Szhxwe4BSseMPTrOTPsmDe4rEdF1OpCk8/cjcyVeLaPm6aTaalJp6XUsx/8Vn+9k2H+E3fM4TVKB954weRB1UUbQTJa8PoDLAOZQTNyq2lPWSXE0WWUZ1AQyDs1ZCsFiyyFa/Hz5njR5g2BLR6kdZeip3cLj49xzQ2gobA5isXye+lsA/6rKeK5GwWvFYFJVtl6qG7eH4hQ0xqYPhM8vUMdxx6CAGDgV6hYLjpDk0mXXY8mszybo2JhOe1zdTEpNVv45S/UgviDzgQGzLFzJCisERF3+FQ9DgzIT+LW20u5Da5f3KKrtijtrpGR/KgmC3cLg8uVaGoF9idnee2Z55hdG2bSw+/D1O9SShowx/OsLUwyq1rU8hGnynFpBxsoW71MH1TiNUtsmUTRdmgrkxibw9wDbq0jCZWocNEax56u9ziJrJT5vBwH2a5SLyvUwuo6L0q43qNLBN44jYyhR6Rfhq3I0lHLOJURMqOQ2QVk6wpMNoQsS7doOKbxVs1GI+lyQh+kpk8G5e8fOLpKf7oyTfwhU9NovctvO3BZzj5zqeY6aa492+exl0u8JH/+AO0wnPQV2jFZtnWghR8Kp/v/7/svWe0JWd5oPtU2ql2zunk1Oec7tM5SC21JBQxItsEMSZ5jK8NNvaA15gZxh7G19eDLzbLy9cG7IvHxhibJAQiCoFCC3VWx5Nz3GefnVPtWFX3R2OwECCQZPuO0bPW/rW/VbXr22+99dYb/xrBFHhn62UYIQlv2IYll6M+6mSirRNPyOgjB1Afe5zoxQvU776TvYdvJPD+96P39FH/rd8Grld8r+gdXNU2Pd3f91BtVlOslNc4FNn3rzKw998T6fx1T5KOQDpXJRH80blQhtEAeFpbhnY9g6SoSPKPHjmj2hUWNkrEgyqp3HMPCf4TgiDRbuaQLJ4fm2T/0/KicfUc2bq2ibFQYVsC07Tg1Fcolv3EA4OMrKZZcdXpGHPI2HBHBlCtPaxWL3CP790MNIcpFk7hrFu48+GHsTQazPzWH5KxebnF6aXW8bKsrFL1t5HmFvFV20gDx8hYJWIJPx7BBtk88eggcV8Sr9XDeqNMobzEamWNXLuN0SohbpsMTRyAdovG6gqOkRE6lfJ1L1VqC0s0in1gEEs48gxvVlSNsFRexVot4jk9RSi1zoWX34naKbKuDtFrrrKTKlEKWmg5SlQr4yhSGyG9TVNdIFne4tj9T5DvH+Gpe1/KLl+CTL7OTk2iT0myIOoozjobCAg7dQQ3iB1o+nVcngSlgBdHdpN0dx+BTJlBr51rdpm4V+aAt414cRopYKdWjLIpFmiPB9h1/iKvkR9kPfKrXFVnqfi/w+k//l2KmTHUcAPD2sLR72LGKBDadJP3ZNGUTayNBImtHXbEXkpGlSMWBbGeY7PjwSaIFBxV/HKc6c1ZtLkMh4Ii3ptPUHnsEax799McHGK11qJx6jTuWJiJgW5a9QzLtXWGmw2mZtsY2wWC4TZzWxbywR365DaLHj9asUN5xODeT/4j3kyWPwh/gC+dO0G0O89d7z2Jp9Ug5S6g1iO4TD/SjkjL8GML2OloGu0o6EoPTm2ButfB8NVpHIUOnSP72CKOe6POgQfvJ5BN8cV730LGaSNdsDMQFxjebeertbN8PfMlBtQ+fm3sV7A4M8idLWJ2AV/8MJOZRW7s3Utra4u8P0JCteG1KpxeznK4L8paM83I3iNM7Omhy+dF94ZZadgx6w5anRJyPUXY4+LR/EmqrgCvO5uleccvseWoU6XMEZ9EQZe56aOfpVPNcOd9Hepmnf85+j6U7QapjIHV7efI7gSb5Tr5vIZqyrz2nmH6/WlGBwYZiceoO9N4Ox6CVhndqVA3TeyKhD8eY6dhZSUWQgjqTMQC+IZuxJZMEhkfQ1RVvrFdpig7ePnRMeJ9cWzxGA1FZObqCv54DWvLYFfXBJKqUi/NsSN2IQgiPa7r4QirItFo6SymyjhtErIk4ra4rie0f9d7Bdc9WKZuohtWpNkU8YmDVCsp6rUOhSI4nQKm3YpbjJIpbhOoWlhWFYZaKbLhJO1qAdliRy83GZi6glPRmN01ghZOEvZY6Y9cZXk+ycx0F1JbYe+eAukSGFYRWzNIzH0W09mPq20hEWuRt8hEUOisg7++gbv7Hqa1R5ipnyZRuZVmVSUeWKeEg0ZdYdFSxBcRmFmpYI3kaEtWdmxr1K0KQrtJ29gh4LDRU22TqZmYgwcpphR2dmQ+f/klfPGLN/E3X30JT1zaUzTUwgAAIABJREFUzfJ6Fy1TZmLvGm/5pVMEb1zGkLdxWF3c8YlPM7Wrj0dG3VyuXuFMaIsH9a/ySPsTPK79PQ2jxktsh9jrHSMZ09BzLnJtO5GJQ/TWWpTjQ3xnVqbsijJy6ht4tRydkAfnP3yW5qteS+uOu2k22tS0FosFjdGgC4/PjmmaXMlOYZUs7PIPPWdvyM+yceVRLSxulkkV6ow/i0dJUtw0K0tP8141a+vYnN3Pep5qvY0gQKXeJvoCDMiWLT4a5YUX1Hv1onH1HFG8QWaKBlabkxKbOGU3gubC3E5TqttI5poE8xIptcN2YY797SA3SXfg78TJ1yeZcKQZPnAvu/7sj6nuOcjFAy+ls7aB0dePJxAmZJM5lNzDNTHDdl1H94qsyFsEfSHauRz+vQdpr67RWF1BttqIhvrw2YO4DI1KI0tEdiCJAwTCbsrnziA5XTTX1jBbre96qRJIjh8vlP2eHq62V3F95xpdK0ss33kU0+Zl0RBIJIKY2R1qPp3N7AAJd5qAniddTFGoFTh0Lk3/5WukRw9Q7p6gmZvFVSphbzQwqeN1RVmxdehvaPQn+nFk0nS0NcTmOrKq0WuJUDMcaHUNiyGSaVSIVdYoKsMkN+ZwHQgyOSuzKeXxhP0Q86Pb/AxcOsuJxiksL7uVxzsXUPyrLH/u/+D8txJUNt3IwiIJZQVXPs/Q5U3GT55j4szjHDv/be594jPM9h5kzh3AUjcY9mbZ2EqQiKVZSuWxrLbRBk32TRyjs75Op9VmKximrBkc6ouQnZ1BXljC2qxxcfM08arJlU2NUsGL21nmCbsLLV4h2dExvTF2rrWIhTX6s7Pc+KkHSaldvHH5f+EN1XnVO0/j85nQnCJnV5GaMYI7IRo+L6FKDWk7T86xiWITaJTz+HQPLbuP/rlrxFYWeHBkH2MbaXINg3u+/EnywQife9OvIgg2ZEc3A+S5uH2ZP819FI/Fz+/f/GFUNcDewFF2rp3BiEisb2yxtzdMc3Eac2gvpiTjtSp0dINarUVNFhj0BpkvLtEbTKBpLQI2Cz1+lbpNJq9bWdkW8PsnuJD/AtfUHL9x2sActNEaOIi70UQSqiRO5xn52v28+S0RzrszvCnycl5mO8HUgouj/S6E9iqLy4sMuBv0BMHilplfLxKJhmiXp5EVF6W2RjwcxGyLVLI1LC4LW1qThGrl4lYBp9uOzdyky5VAUly0DYPpQpVcRyRscTJhb3FtcQ3TZsfvU/nWk1exeHIc2HUI53oW+9AwRqfOQqmK0+EjoT69eszrtDLcF+Dc5Dbp7+aBGKZOQ28+bdCvy21DKzcoakC5QNGwUWzvMBQsoOVktrdWMBQBJaDhbaQoNz0QK8LyKjElQcnhpBJKMnLqEWIL8yyceD1F+zreyAi2sI39zidZ3OpmajbOxorKkcOTVMpuNHEOh9KPy2tiKWbROmEsskTDkWTlmsLlhWEee6Sb4uUbaY19kouFBU5/5I954Ou3cvrkGNeuDLM0NcD8JS+Vcohc24Jq0enLtdEjEhFrAlc5SkjrsDyf58rS3XzxH4b46v17efzUflZmImhlK9GeAneNnePY29Lc+GsX6T62TMZ+mYvtJ1nKXeDc5iP83o0V/nh/kdPSVWalWTZaU5T1FA7Rw4CwixOWXYyrv8xuOU2jPYTRsmGZ8OBr2lixK8xNgc9t58TrbsX6rYewPXEKoVREWVpB+83fRh8aZmO5wI5dRM42GB+PoHU0LmauMOYfJuh4fsnNP8vGlSJLXJjNcHA0gvwsxqkgCLRbeWSLF0EQMU2TTjP3Exk4freVB59c4fCuCDbL8/c2CYJIp1lAUpwI4rOP0PlJeCGNqxfmF/1vgmgaVHaqhJUyZbcdRbBAT4zVNQ+D+g5my8RwuenCwap1lSwZKrKbeqvJjWKZZOA49qtPIpgm0q0nsPoUmiWZne0qbatEt81OTU8zIYyg9Jhk8yKehIMR/xAZX5pLFx5CjkSQezy0dibRF07h9oWJxSNQmMXQbybhE8l95UFEh4ptTw+S86cvV7215wQbkU8BMCjYeMxrJbZS5aKa5HVJK1fbHbqVDGK9wYWKTtXh4fB2jULOBGCjbzc7nSgyUcRAE0PsgD9KOZuje7uBw5jBa7ap9RwgpA/RvPRNyE9xwZMl4epFD/nZVq0YpRXkisLIyc+yNBKGchjJ6FAVy+yJaoiFPh67q0lkdZmR73ybN3/qEl+8J8qVvq/zJ7fcyOhZF8lLm/RfWsJB/RnXqYsikmFw8+nv8Imul1FWR9HqJ/G6myxf8uAaiVDc1aa9qfOx9v2Max5qQ/sIbqww4nfy9b97jDsO92F2D/DEyW8R9MC2YZDOqJRdG+TbAkExQpAdPB4bV8pNhotLhKwtYievIhk6H6+9FZujzavefY5goIOklylEg/jKEcbMNsU+D7IskvNuUi1Vcfl7ODRdoqE42HJ7GBKucu6ld3D7Jz7NsTMX+PKRe7n3qa8jGTozN92O22ojWxLYHbWxWC7yofrHEYD3d72PPRyGjsHpuauMKm7y7kFSpR0OOPtpGRUWS9uMqAZa0WRxW2Csq4ftjk7HVHBZnJzbvEypVEcAAvYgIg7iESd2WWR+PsetvtfwmebH+OQEvHpuncE3hNne1rBFxhn/k//CA7vgM91pht3D9AVexaWNGPuPxriU11AtIZIhaOYL+N0GIalKS2lz5dtpnK42MdtXCVntTBvn6FNCxHWDS9sWbF4X5/NNIpYucp0GXSLI9hizxRq6aRJTFFYydfaPhIEQAcNg7co1vjmTp9LocN+Jl9BaWUXu6wPg6vYyscAAYbv1GfIDIIkC+4aCaI0O52d2CLid7MgrRBxPzx+JJT1o1SjV+Uv4WyZ9cQ8zqx30Rh5ZlJnoijBdjVIbfJz+000uVewcTTqwza/QvW8XFbuDi3e8nmNf+VvuvP8v2Xz762mXF3CWnDjv6OINnof48gMnWJjp4+MfeS2/8OYvEdbbrOSatM4GWMkMsL2lsrYWorDjBvP7D0GHGsU781aKu/4G5T192Od/EeHyO9hZ62dr84d3KPe6a/hDJn53jfkllVLp+3omGs4zuneb8GiblxxqUpk+Q3KsymPLCzw8f4mpxlNPO5Zog4EC9FnHcCo92KQe/OzhtrED5DJZPJ4m27kgu8RrKKJKJBFncnUWZ+BGylMpRIeJLxrghvEooiii/fb78Nz3Czi++SimJNE+fn2WYEc3SOWb7AmorNc2qLSqHI0e/Bcdh/Kzwh2HksTCLjKZyrOutbn6aVSWsHuGaWkbWNQfnsj+gwiCwI27Y3j+WRXi88XmHrg+ZNo39oId84XiZ8e4qlYxP/kZDh7Yhd3eRdQ1i670Ud4ucO/EKDPLXgJn7qccHsBuq3CgVSblOYhZsnGoPY/i8xI/eCOt/34/ABc8A6jZTWy7BykX6xzbG0eVJXbWZ6jXtjDMITTvBnt9oyiiTNyTIH781Whzs5DVcYzfBkAxtcbG1CQiQRr5NKbkxRJP4Np/4DlfqtviIjC2B3gQfXWRVuJWoo402abOWefdVJQ1MnqOgxYfLsOBml5Aj+6h/9vXr21asZB3FnFKTsJqCE0osZQtEsJBcNc+1tI+avoi8ZXLZNt2Gi4nIxr4ttJs9jXo6LspVep46zYqDRunR/sJ5dO0s2Xm/Doeq8nKIhiJp7CKAzz4xl/Fv77M4KVz/EUObvoleKDvFL/5GGgWlWWhn6nmKAsMknFGcQ+3GDhYQZRK3PexP2MgtcCejR2yYptmSyIxuMJ2dQhrM4UjMIpN28AxV2X9SC9hcw3/rgBXag5ciQha1wjVZo1OVKKwo7HUrFOqJ+iu2hHCg9T9WdySiLBVZ2R6g/KuNjFDw3UxBcAXxFfzinddJiJXMdyr2Mte3DkrbkMi2zNCwZii3ixhLybwRJzsX6/S2XMjcquAI7PDaX8PQ4UGdVXl5vOPs3rbG7jp9KM07Cqnb3sNpe0aHrePZmuej+l/SsUo83sH/5DXRe6knV3GuW8/MU83q0tZtGUrN3Yd5anL32Rw11EsugvVd/2h2dhaQ+6skzB1lrfrDPpDJOJ72JQqzBVrrFSyOKQMsiAQ8kPFU0db3I+ExP9zxODNX1mlUdnEFHUiSyXqs2d5+69LWESJ/zT0e5QaLnYdCJIz4Oaj3Thsynelse9psnniEKyvFFiqaDgDDSxkkAJj+K1ubmm1efTqGrXtMqr1Gnq5RrvnZq4Vqgy7HbRbOtOrBY6Mfr9ppCCKaN02zB0fN8e7kESJTj6Lvb+fKzs7RFTHjzSs/jkOm8yR0Qg7xTrTizKzZoqR6PfL/D0+B4pFYvj2WzFlkccubrJvxM+Yw+DqxhWeOn+SY/5e7tdcHO1PE5i3k+lew9ZyI55ewBO0s/GmGyide5hdjz7B4KGf49IhK93OEN5sni7rGq1fPM3jD+xj+nIff/vnb8Dh7JDZ9mAY33/Lt9vbjPVs0L1XwZYoEQrlSQ6vk84f5mRzmRnhDOWJDyFOfJgh8WaS2ivpbwXR1kzK7VG2Kgkq2Q75TTcrKy6WdCcer86Ro1mG+ma4efAK/n0irS2Dq54DZPUVJs1P8ftLM5TMIjRgwDlM0DpASO7mwJTJ+z7yl+x0jfKX7/4fbOourB6QLVssZQvYChY88g4WVUDcsFDtj1Pwx7BsTqFe2sQ/qjKVVdnd4/+ezLRuv4v2/gMoF5+is/8gptuDVm2y3e4QkUVWtFVGpS56g88einqRn4yfppmnKCqYRgfTNNHbNazqMyvZfxTPpbfVj0MQRATJit6pI8nPvQLxX4KfmbCg9StfIvneXyXg9rGwN0482EtxWyRlKZE2Naxz0zSHDmF3WQho69h3v4L05jU8mkHEs8Vg11FyLpWRv/pz5O00l97xHlI1EX/AhdYyMAsNghEnqieIRWlTKcs0ndVndAlWAkEQBWqXL6FEo9g9fsLJIVp6kMR4D53VRVwHDz3vtzFfsYbt/s+iJXpZOzGCpVol04hS8rVoNYMElAZl00a+USamecg2g+xeeIrw6jxzd78SMzJMxwI7RoGiruOV6qjYMSsdrB0bjUIaYTSOO+bDHooz38jSX7cj5E0quRJD9XV6JC/hA0P4KmnW8x5Q2jicmySjd1DIr6MWfASLBQSjxZM9u7F22pQGDjITqHM6WKR00+uZe+kdzNxzE8u9d/Plxi18MfVSHtm6iW8v30S5f5A7dh4gsrPBwze/kY6coVTz4mrnicsSGb2BpMs48wVK4UHkRok9wWHm6gVuyO8Q3XeAT59ZYUk7hV3fJq87yc33E9fr9NazVFWNeHMDd9vLtuZFtubpD5e5elbmpd/+Mmt0c/LX30L3nhSWfBVnM0DNPYeRs9M7amVDX4WGB18jiE8O4C7NYOs7itRap4nEpKzhbkRw+N14ylUiM1dJbC/h3Vxh+oZbOHfiLsRWE4ua58vtj3KldJU37HoTb0++G8PuwtOXoHLpLPm107RHD6K2vNQrDQYlhWmrgEWsE3H40A2DTKlNV7wLxRbEag+xUqmTzy+QL6boc1np8yWJOSNE1TBRNUykUaXRlpkz15iUV7n7UpnK/n3Ydt/L4Ad+l7cdXeVa2OQ3x9/LvT0/z9aWQV7d5p494yjyj3f5e7x2Ag4r5a0OdcXOlexFhgMDyLKExe0gEfZxzeJlXcthK7YY1HVEl5erS3mOjkW+d2/UOw2+uXaOTsOHp2BnbDxCY3kZJRzmakMnyhaRZ8nD+cEwgGpTGI6HObMySzEn4XPZvlc55fU7uHZhE5fTysGDCVYLTSqGwr7R3UznUnQCNg4PTvCVSpoDUoRlm5N2j53g1UWagR5aoRBFn0r/k6eI57c4v/cEGi3a1iSBwX66ylk8uzZo6AIr80laDYWuXo0jN69x070r3Pv2Ku+67TEm7txm6HAKb6BMTUgT26nispV419ezHNNuh8ERMu0868ZlluVvsGY/j29Q4CZfgWM3zPBzLylxx4153rz/89z8ZjdvuG+D3T3nSPTPEXVVkfUo39CWOLnzx/xj4SNcUTYwBYnD6it4U/U+brS9nKDgY2ytl5umVhicv8zKTS/hmjOOKxZm2N1Cljoo9SYhr0bT00ckFkNvbuCLH2Rp6gK7fHG6ujxcy5eIRbvpj3u+/6cIAnoiie1zn6b+9l+mc/QG1pcLTDeroKU4PjGB3/7Czpf7WQ4L/hM/zR4IkkK7kcE0Oy94xd5Pi2zxUS/PPaOB6XPhxZyr54De1Y31C5/D/ui3OHu4j6VWHDVkMBLsxkjNMuZ1s1IsM+xeJrz7FhYuzSPa4Wifja1CjV3H7mF9a56RD36ISt8wlw/eyj2vOMq2aHLDUJidVIVCtkal1CCTBktXi4gjhEN5pjUtORxYYjEqF85RqkEm30YQBezFTazJLiT1+VVSAIjVCva/+xvWgiHa997BVi5FS3fisXcRsEu4SjNs1dLsWWkg+4IospNDD9+PvZBj7j//PpGF80R2DdMX66JfchIImqyLU0ieBPGQD0MJkF+bxia16ZgSuayKFpdoKzEGkzATEinaLAwUr2Df0DBaHTZ9KwxrSdxbZwm4vajWIPUAaK4OsYBCc2Q3teAAfYFuvtl4gg15h8O2vbgyMnlbhcH92+y/YRrBKrCxFGD6QoSR+iSHO+d54obbKY4NU5Sd6JqJOyDTyHeIba9RdPmJrsyjmCpLnS0O1+0sSRWuZSukOxfxVdpECibVRTuq1iFsqbGcjBHoruKJ7CXXjNHMTTIcNcidynPhc6O8rv5ZvjH0epqv8iCbIrK/RUfU6OTKWHpaFLFgqY7QaLrp7Wgk6ytke2J421lWTB9bSp4J5yjlrEmgx0Gx0GDoqe/g2klhCAJffOd/o9gWsIYrLDSu8JXMZ9gX2s9f3/NJAgEXtUqTws4M9aBBJdjLWGSccrFBuLlJSowienzEVIm54iKVvIXeqBvrd+d72SQRRbYx3jeIXfZj6k2atVXajSyCICOIVjrLi3i6R5EI8FjmC9QVuDP5H3Blcnz17If5s6Nwc+xm3jfxQU6e3eDEsR6yQpkedwD5u/Pcmm2d1XQFl92CJD7dwLFYZUJhJ810B1E3mausgeynx2ljUWuSrUzxusG9xIJelrQKFy8sEnaBP+hHEkVOLs5yfmqZAamHLtXN8EgYURTQFuaZ9UUZsDdxWaw/tKnhP+dHKVPZ2iIWUFndqpPKaYR8NhRFwmKTEUQBt9dOxO9AlkQuzWfZNzDA5eVV6q15dNkJbidq0UJNXEQcfTn2lTl03cbaUIL4zBzxqWvUevu4MmpHKkjYBRf2ZpFOLE68a5U7X3Kem0+scOD4ArtukQkO6SjNJTRUyqEEa+0N/Eoem6qSaq/zKx/7FGOnH2f/1TP8wkNXec12Er9vN9VohJXWHPPNpzjJk9RqWSKlOkrBwbrgx+E7S2VbY11o49mY57PNS/xZ8S95svUQ26SJij0cD72dl7p/nX51P64uN+L2FLoriq/vEHd+4oNYGjW++urXYDdNHB4LLjmCIjnJbBTZl9BwiRbaq8uo4Ri6YIfMFl6Lk02nlabp5shY8hn7b/T103ztL9C6/S6QJE7OLiLIbcbd3YQjnmesf768aFz9dHsgSjaq2Quo/okXLN/puSIIAkZHQxBlROn5hRxfNK6eCxYLy2Gd6JceJjm9RPwdP0+Xx4JbbLM+naERaDPeZeXUVBTdmeTw4d0kFAdfXnyMW3fdjcXjo/HkYyTvf4Dp/ScYuO+VLAkKu7wqsigQjDjJ7tQYHA0TibtZLq8x4O19xs/QdYPUepFctk7dHkCuZAkoDXwxP+1MBntf/wtzvYaB46N/TiYUIT/WR1X14MyXaDRslGspYh4LQj6DnPDTWBcIHT/E3o98iE4kive/vo++/RNYH/k6Xq+XikXlQH8ve2NDzFavost1/M4A8lqJbKiGdUNH8HtZrVTYN+jHq+UIimOUvHVW22XW1CRLiTKy3UfBEaCaHMG9vYUrNUmt5sSfaRFx+BFqRUL+HShGSDmKTLZmCDkOQVeA7nwJQbNQ6YUbb1cYvK3AgDNLZlLk5caDTOm7WRuP4HbWCVSKzFmC2K0e6nEndp+bdjKBtLJBsLrNvLlAuZClubbD3qaGrSQwVY1T6kQQ9yQxVFCCHbyaRnXJhtmewmHpYGzk+YOv/Ar3bfwt+7jMN37r5WjJfmyNGm5VJducRGxY8ShBBMsEVa3FQbmFWGmgDbUQ2i222lEEW4lB6yiSKFPTdRopkIZ9uOen8KXTbI1N8JXjL8Ejt3EP2vnw1ffitfj5wqu+jN/up1VPIxibzDU1tJKH/QO7KRXqyOhY21X84/0srRbocfsIu/08MjvJeFcERVS+Jx52WcL5XUUiyQ4UWwjZGkRvFSmdfRSlP4QvEsRXD/Pttfs5E6jw6+cN1ibP8I4bllFFO3906FOsLmocGA2TTHpp6HYmNycp5S2kchqlapOIz8H8ZonNTJV6s4PPZf2eJ0kQBHxBFbvpZGNjh4RaYrlpp9LS8ZpL9EUOgOhgbbPIDbsdiGaAR07P8PjcPHa7k5cf3kss4sbltiEIApXFRWYcPiaiAUxtFbt74Flvkx+lTL1WD9P5OfZ39eN1Wbi8kENrtOlJeul0dFLrJbwBB3arTDKksrhVYS63RdzXzZizzWo9i2D6UC0utlqzuOwDbHs8JNMlinEbvWefon/6Ck/c8wY6thJWZwlBUXCndwj5RXbSVtAMPLKCu9Wg1lBQU+ssOnVa1jxq245eF3Fpl3nLX32dnmtPsXjDnVy66Q6kaoGB+Vluu7DMO765wSuKgzSCwyyrRabNRb5pXOCafI2oaWDNTLDamOZM42/5mPI1ZphDF3X2WO7kXcZ9HBn+TXZHjxN3S+S3lmj6emjbgjhEnb5Lkxx8+PPMDx7gq+OvRnYniNc1dGTyc2kSljottYW/YkfUa7jGjvFUbYODpk5dDTK1WuKlt00gij88JGX6/LQxeHLxIjtlGy+fGKbV1HH/FMN+f1JeNK5++j2wqt2IkvLsC/8VkCwe6uWF5+29etG4eo6sadBYnqH7yjRCSyLvG2Tn5FW6oiZTLZncioKv08TfyOPQSlCvk7CFCI7uZbWYoecbX8P55Clqr341jTvuxCKK+L+bJyAIAg6nhdR6Cclp0NZbBOzXx9XUtRabqwUKWY1KuUE45iIYceELOHDGI2BCbeoarkOHX7DkTNNqQ/2TP6LujbC8P0Zy+EZypTmWgzEORX00zAxBxU1GK7Kr+xhjDpnon38I49BhzNe9gWKtzZIjTv7SZQbtLWbqNrSGyXDET8WwE/d3qNg2MU5pbHe7MCUPvQ5YyBYwLb3kmo/jatfI1Q6SVzawmn6SrjBFbZNmu0jW40TXvXTlCsx492AI0AoOU+5YCLsb1OxdnCs/xkZnkYOJl0BEpaekoe7obFkcjMQkwtECXf1VDp96kLnNXs6EXkl4rMF2LUtAWsNs2pjTbXhcHQqVNl6LhkgD63oTW7WFa5+OxdXFdCpMSfRicdnwdzkxtCJRZ5ad0l7srUmMRpNAs81HvnQLFybH+WvxP1L3Ofjqf7gLjxKjUNuh2t7Anq/j6k7gphe92OaGnWvUcnWUfT7SnRpBScAd9LE/upuQx07Y58DN9QGqN9+8j7Jcx1ha4HOvfRuhRA9qROd/XHwnWqfOf9/7MY737KZenKVqGMw1NQ4k9hPxBFmey7K+nEfZmEMZHme11eZgT5D0RhlTF7CILrLmGiICTsv3vaI/qEgEQcCsm9AUqfv62dxeoVxK024anG+cx765w8fjM2x44D0jHyJpjOBVrWiySCqv0dQ65IQiJwb7SQRdhH3XjY+o3/G9vjbTqwW2sjVkSUC1X793HKoFi1NkY1WnS8lgCFv0eAexyC4eeXKVhNvDasag0FrA2mfhZWO78afTzG/nyClWWiZYJZGLS+scHhvCbO4gW9w/tu/Oj9qDf74XtXYNWVRwWu3XO1abcGkhw1CPD4dqYXF6B2/AgSSJeFwSLanM2csVjowcwNQ3MbJlti1RvIrGlF1AKm2TT/SRkyLYjDxdl6/h1ltcOXoUoxGk4pZRdJHtdhjZadCySXhrWbINJ/HNqyz0yTQ7IrWSSliXydTzvOWTX6H//JMsju7jod/+v5kZj3L+5peycOw1bIa9WDsCw1NTvPrMOu95vMFAw0Mm5OGKdZOzwiUek7/Ck9JJ1oQsXXKIN1rv5TV97+N4YYJq8jDx6jwLao2g5MKd66BUMxTddWLGMOMPfobE+gxnj9/BVn83A3KLQLtIyVQRPRI3j3TI4CfsgtHbXoquaIj5CnI6wxOOMMdHXeQ2dTx+O9IPyfnZ0bLMFRYgH0J1q1g0nUSP92mNQ18oXjSufvo9+OcDmv+tEQQB02gBxtN6cP20vGhcPddzlJqcOuhj/yNPYT9zhvwr3ojsbzNrC5JITFD269x6/DCTczv0Hz+ILR7HFb+eNLmUWyf20b9D3VhB+78+yIrVxbD36eE7xSKhVVssFJZIKl2kN8sUc3U67etKwR9U8fodyD+QkyKpKrbunhe26kWSsP/VR5AtCo/e+DKk1gb1doN7D91NuXSR5lQFi9dNo+wg0Q/1mTS9X/w0xeO3ca5nP4Zpsqc/QNfELtrpFM75y3Q2VlneaNOobVLbMRhotSjmMuRkC12eMqZux2XusCNu0F2Jw7aVBV8WU3cjOItocoERz17YCmIQoNbtxaaWSHTWmJEN/I4tlhoGTXcBW7lFyyIxW7/GcCdOwzmM6vdBRSVeXGG+otOUFTZcErc8+jX8ep53XfkD/L4U0T0Jhi5N4fbJ+DN1bJU0imxQdqnYSbAz0kcnLiOdzdPOlTBVnWrLic2pI5MjLqyy1R7Gqm/ibueRtDbf+NYYnz9zD6/xPsCb659g5uYjPHXSDwk9AAAgAElEQVT4brLVGcKSB61qwafa2B1Lkqu6SCxNIeybILTLSVe1xlo7y+7xw+xyQjjUhVu1UM1puJxWDLsCWgvfDcc5Z3ezFN3NgZ4oH1j4TVbLy7zv4O8QVo7R766zrktowL7wbmRRQlYk/CGVZkUj5DYR/CGWMhXEYhOAi1NplKZBWAmyUUyRbeQIO4Pohkml0WF6KcdmtsZ2XmM7r5E7d55cbBCLIpOIROnp6SGg9/HA4l/xaLLBthPuKo5za+Q3kO0yTreNPSMh4kGVZNBJw3SQr68+o9oOro/BiAdVYgEH+XKThc0S6byGy2Eh5PKSljaolFTSWyVUI8GZS1skh/y0vVYMZ56Az8OwYmJzJXAlkkRCPtSFWZqZHVYKZfYmIlicThrVVWyu3p/oNvlxytRv8zGZm/le3yuHTcatWllOVYgFVXxBlcXpDHZV4VpxkmOJ/di9Vc5frSDZHdjcDuKNLUodNy69zn7VglUoI7lK5AQ7/Veu0HflCuePnKCoSowbXZS0HM7OJE2Xim5K5F0iirDIortBsNKPLzaIV9thtVXlrZ/9R3Y/+QhrPaP8zTvfT9Q/h6zZ2R11UvJtkAqM8MRdd7DyymOUkiGspSrHr2X4j09WedMVMK121n0ie8xx3tX7Rl5pvIv9ZTvZ7SZaQMYmrNNsWdidqlEzC1T9VRa328RbQ6jr69z69f8Xyejw1bvegBYNkhyboGS6saZmGR30Eto7grauU4zqJEN9PDF7kT1bea4pCfZ1mSjhPjSHRGGliMOuYLF+P7ykGzpzhUUORfdxanKbOw50UcprBEIvbEL0TyIHPyv8774HssVNvbz4vLxXLxpXz5Fk0kq6KZBy+hh49FGki2d46udezdED+4kHfbQEBxuZOXYJApNlmcR3b2TTNJnZSrPvT/4IMxjkqXf+NuM+FfGHGENta51MqkbYEyDW5cUXcODy2P5NyoVt//j3KPkc33nFu7E2zxP2D3N1eQ5HY4fwnhGcGxWOvORlTJc2EL91gZGzj3N69624brqBwa7vN5OzxhOoY+P4RoYItkpkl+tMt8r4LUHih29iWKuT73ZRdgsgtTAEC353N0vNKk7JzY6i4XGLRCzdZBt5OoKVmGDHbbOSdvgZr+foRmChoDIQd7JV7LDbDbvFMb5S+zbzjUVutb2RglIiKMhsKB78rRUa1iY+s4eetUsMbE/zceWXuHBugkONCwT6O2wm63Q5XCy0g4x72+SqUDVSRFw5hKKfdPgoWatAU3IT0htYZQvJrQXa2QZd+UUsVo1lW4KvPXmYTz98Aqe9zV/seSdd62t8/hffSj2WoFOsUJFMIqJARGxjVk16U9dwH01QqEoYSpgzWgnZakGebZEzXWxmMiys1slWmjQFWEtXuTyZptjqsKEGuXt3gN+//N84kz3JXaGb+d1Dv0bN9HKlVGAsnKDL9fTS53ymhrCxSPDwAYqYRH0O4hEX3oCDim4y2OWh3dbpisaYXs5xcuEy2VUTvanT3+WhK+IiFlDxldOEepMkeiJ4VMv3Koi8HhfZR7/ERUeW/qLIe/f9I7fdPo5eazE6GnmabLcN2NHSJJ2RHynzgiDgcVqJB1XCPjvLqQrXNtdZKW3gC9g4PnqYJ1NF4kN+Yl6ZrDbPiK+fuCuOYg+jFSaRLB4kxYYlFsMVDuOtV7Elu2hW11Ds4Z/47fXHKVNBECi3KtgkG5bv5nLYLBJr6Qphnx1ZEglGnFyYmiVoCRLwegirAbYa6yTtXcwW1xA0Jz1JiVBrh8ntDlYCpNVd2PIGud4kw6eeoHdplsePHKQg5PCFvYQKOrWQA7Gu09ipkRAkbKFBdqQC9dYGLWuHmx56gDsf+hq5eDefev9/JuSRubLSw2AyhiFlWWrnyaoBHCkfVSGBaNeoHLmLz9/2GjZHA3RrVl53MsV7H2vw9id2SG7ZqO/ey5zaZssVIuqw0t9ykA8GqZiT5EwVlh3sFiXMfBb31ipHznyV+fEDPHn7W+iNuujMzLG/x8WaxclIqIzdO4ytWaXu6OOp0mnCrTi1yVmEsQlGEyZhT4yw3ULRKrK4WsCim7hc1/+3K9kpdgdGWdwoUWsZ9EdcNOqdf5GQ4LPJwc8K/y72wNQx9NZP5LX+YbxoXD1H5lIZzJqMvnsc8fIV4lcvEx/bhXDsBABhu5UrxRYhdwuh1KQm2fA4rcxtb6KdnmbiS/9A4fa74BWvxG15ZqxZN3SuZae5YXAfdse/fSza+uADyPNzTL71nVhbOxQbEo7OCi5XF45UkTTD1DSD2XSFG6aeIHLlCr7/8l5WLUGuzGUoNdukchqNlo4oCpimyXpeZM/xfvTtFOeX84REAZ9VppByIFg05usdug2DNTGFRXHjalaw+ErskkawNBRsSg2rexHBskpCb6PYBWqChMdrJd7RWGv5sdqrOMwg4XaBvNTmSn2KpAsMsxu/S8BadWCxj6HUm3iaV/DvNEgsTuN+lYWHFk9wanYPli43AVeVutNJj3OHSlZgwGjR8ASppgVKahRZrtExJAZX5kGUkfUyglBDTajU7DaqqQQf/YvbOFVagF+dQLnhI6SNBRaDChduuoW27KBDDVunSqKxStSwYmsJWKJd+IaPUSmbpFqzRP0qo+4RvMEI0kYKank6uoQhWmg3O3icFjabLdqtNv2hJg+vPcwnNz7KsLOPD469n7IZp6JlyZe8BEwr1UKdQlajmL/+yW3liXkFLJEIK5U6va7risUwTFa2y2i6QaHaZGOlyK1HB9nT00NNTaEGDS7PLbCS2aJsFthcn6YcUtnRMk/75Nt5kssCzZkn+E/667nhbW8jtV6iq8+P9AMzyNyKTLahUGpuEHI8exWR1tFItZdIBFwciu7l5Mo8c2mR4wMhFDlPrp5hf3gPdvn6Q1cQBBR7hHp5DlGyIEo2BFFE8fkxTZOmtonN+ZOXhj+bMvXbfEzmZ4mp32//EPLauLqUJxZQqbZq1K1lvEaAYr6O1+egLhQo5CWScZH8tgOLWMIzeBuCkka6uMh4QKXki5LuOIilZ+memiEX85CPDNNSPZSdDpxbOyhRD30pjRlrL6O5BdRwAHO7zq7Hv8Mb7v8MZY+bz/3afXjtMlKzQUAsMZuvkWp18CgDjFjrKA4d/fIluoIWUoO3YHWEKEoRnrg3ydpr3021I+PvVIhcfYrBhz5PdH4ZQkNYR/xMuzTM0gauRRVLTsFx/BBCVxf1VJmbFk4SXpjkobteh+QPE2wYBE6EqNU8uBMyQatO4/ICgVtuYX1Ho98WQ1ldZa0GN97gw+bqRRAlBEEgaLOQCDmZSVdY2yyiegzaRpuwI8gj59e583A36Y3yv1hI8CeRg58F/j3sgaS4aFSWn7P36t+8iejIyIgC/A3QA+jA22ZnZ5d+YM3rgfcABvCt2dnZ//pczvVC0rTXaGScqLVNNt9wJz2z07j/5wfJ/9yrMbp7ADiRTPDoap1j7LCQDxDy2rm0luPE0hwA2UPHiPyIvjmXMlfZH97zr3Y9z4YRDCGYJsMOnan6DdhrXyfZFUezRtlOl3D2h+lNuvHgw/33fwLAquDFbZWxeh0UNisMj0cQbDIzsxnW10u4vFae/PIyimbFnQwxVWsxWazTW50kbQsyGI/ibQs4axYiXX4eW32I1w2+lIfmltkdMGkZMTT2sW5s8XhngUjRRts9Smf6GmLvIN7U4yihV9DcWWDZ3c3Rxp18U/wOX9j6Er+3+25KupUhZ4WthoO2b4CMEubSYYPDD93P0dw13vGOz/HRj/8CD/zDHl5brzL82nN0Nmy4xSapokl0oMGcGmVs+Rw1QaZZt7HgDSCJMYabV1i1e9muO3ji3DEe/swoLWpIv/nLmKIAZpUvjOh8YUSHjd9DRCQgdJOwdJOtW+mLHqc74Cfe5+HLT15goFfm5/fdyVRuhpFQgmq9zaVSnOr2DpI+TyM6QQOZsE3i5/bGWZu+SlPu8OHFD+BWXHxg4P1UnWG8NpMjkT1cWcqSd0jsD7qQJPF6t+RMhtrWKo4jt9A2DGRRIF9usJyqkMrVSIZUJgaCiKJAs9FmcWqHofEIByN7CYVcDKoVWs0Oa988iW/wGN2B6A/1OBm/sovYZw7SGhkDBARReFoY558QBAGbYkNr1TFN80d6r9p6m8ncDFbZysHwXnQTpotVDvWOgVlkXZsl4YyxN/TMXkaCIKD6xqmXFzD01vcUabOyjM3V94z1zwdRELFJVrR2/XuVv4osYVUkKlqLqdIMR6IHEASBUqHO/FSa0ZFhLranaeQCRIdz1DNx0osXGRs4xrXDGnqxw7irzPn0Cg+88u382uR7eMUXvsnkvgk8aZmkvxfJrcCFSwjRbrorm8y3XYR3NCKz53n9/X+H5lB56P/8OGZAom10cPjHUYwOB7NrLJRyWFoNWr4+wnNfJhjXuajvxSeAvdlCcDbosx5hPjdL/a2HmLT9PEMX1hj6Xx+ld+4yvX/6HnL3x3n0rvuYHr+Hap+NwMY02rkFyt0RPHsG6PvwQ9QdKlOJgxzs7+PY8T4mM7MsZXa4e1eQzrwFwePFaLfpi7iYfmqN3OwW99x3F4a5/YyqLlkUOToUJlfU+PqpSQ7tG6XQaIFh4rAp6LrxQ/OyXuRFfhCLLUyrnsZijzz74n9BnmsN5X1AcXZ29k0jIyN3AX8IvP6fvhwZGXEAHwT2AFXg9MjIyN/Pzs5OPd8f/Hxw6G6ioRTmVgPzpjuY+R2B8d/5AK73/AalzzwAgoBDlkh6Y0yW0hzpVjl5NYVPNUleegKA4Etuw/whx14urZFwxr4XPvj/A2boet5LtFFm0RrCbqjMpmJ4pS063Uc4sTfOVKHKsEfFs5PDlGU8uxXU8HWPQ6vZYeryFtlykVggwMvvHmZyZZtBn0jS14+1q4svLU9zR3IPD58tEltWsBUanHLlubtrkHPbTzEcibF99hw37Lud7P/H3nvHyXHX9//Pme29795e73u9SjoVy01YGGyBjR0IEAIBU0MxXyABAvxMIKbGhOAQwCY4EMABQrOxLVyQsWR13Z10Oul6b3t723ub3x8nS1a35Y73+XjcQ7qZ2ZnPfm7Ke97l9RbCtDp0hDNmbAETuWEbPtk4gcgThEsrcU8cxWCuwZE+TF+RC0NkGrVYy1uUV3BPcju9K/fT6rqWpM1E2eIU46lGFg1mImXl5AUB+9wEtTfFefetT/Cjf9vM//12A280SFiLn0BflsfaquRIn5o6fISkerw5HUodyGUqmkqOo5n2Q7SEe396NYf7q1FpE1S892+Y0iyz0bGVLz+kpHzn/dzxkRvZ78oytTKAPz/DcmqSPhHwPox+WU/pRDMtplbi3komnjzGYjrA79K7CMfjSEIGSQtarYTM+wBKtZljeS2x6BxL0QR79uwmL+X59lXfQxFO0lrhQatY9UQZDWocOhVHRyepjgcBUNjtmC6/Em8gwYH5IHa5HJVJTVe9nUPD0FF3KvdJpVZQ1+xi5OgSVfWnvEpiMoa72om80s740DJKlZzSSstphpEoE3FffwWxSIqZCT+1jed/M6zQq5mMlDAaHKfOcnrFXl7Kc8w/QjafocXeiFyUMxdL4k9laDTrkIsGRgIR2u3NKC5SiaQx1pKKTpOKzqDUlZDPJS85HHAhGqx19C0P0OVsO7msqdLCr/f3sbXDc3KeTBYNao2C0aPLyO0COoOa2VSSEoWD8morU3MjaDXlHJrcjUmxno7uFqZX0oys24Rn9xNsfGQ/o2/Xs5S0UrU8T7RzMzOaNIZwGu+UhHzsd3ziZ/eQlyk49I4PMSpToFGriYbAPzKLTqnCqxUxOhoxxSIodt5H3CojX+XEvpgmcHQUtTWPRu0guDCJ2yFik29GlVPQ6xb58wf+Fv10lBsf305N3x5u+uE3iTp+ysFr34b/+huwhFbwB/zYD/eijQTZs3YLbZ0tbLisCplMJDutIeeeIb2YROOuQ+kqInLoADNiCZMTE2xuLkFUJ5DLis4z0xAWltmyppKFsRCPBuNsanWTSmbPacgXKHAuFBoH8eDQK9a42gL8+MT/HwH+6+krh4aG4h6Pp3VoaCgC4PF4VoDn1vzpeaDBqcW/7CIWWcDavpnhG/TEtv8Z3Z/+hOren5J6698A0GI1sCvhYXhoL83V9QxMadAOHiFrtSHV1p2132g6RjQTpcr08lIMzjtWH4BF0SCCpYgVqYrOZD9L2QacJQYCqTQCoBBFNNMzxItdxFRGhueeQFSuVjoKVVApNxDLBrn/yCJmzRJiNAfNqwrym901/HL0Ua7vuhy5YoTHM07KkxZ2Tx1Ap3dRrNtIVXsQmVHG9KKOOXmClUAIhdpOW42deZ8Wh62Lx6afZLlWgXrGx8iEAn25jHy0hJqSEIZjN/IbcRe/WbifOsd1TMgkinRF2FMTKP2VLGTL8bqKsE2OknY20aLq48b3Zrn/7sv53Y83EHtXnitsvZQGdTRnMyxE8yxVunAEQkT1WkrNYRKpFL87/Dp+ff8W4lEFtc2zrHnXXdwb+wM2lZMux/tp2/MhdCktRZ3vpyeWYms8iloL06F+4hUphheeZDq5wPH0Xo4v74XlS/u7vbXhXThSShqqN6FVaEnFkyweHSIZSvCnfTnMtW5C2lKMMhlSSoIRH06LhvJiA61Ww+rfXpI4l9NIJhPxtBYxPeYnFk4TDiXIDR5CbOxEmAkhk4kk4hn27BhHoZThcOlRqhUolTKWl6LYnTqsdt0Fcwj1CjmgJpyeP235eGiSQDJEo7UerUJDKpfn6EoEt1Z1ctwAdZZnLkei0peTTiwRXnoSg2PdM/7cs0EURJSigmQ2ifpEeNKfDOK0qIlGBAxPu7Op1HLqW4oYHoSgbgYhZiXnjDA7p2d6JU7cl8ascCP5vJS89kqSOw5y/NYvUz54Pa+/77d8ZeMmNPWzjFnaMOAnkjEzIcko5lE++qP/QszleezDn2NyzdWURibwD2fIlajR1qZRZOawJ40480lkS5PEKhuZUspxDoZRqpcwJM2otSlS6TihlWIseRXHlL2gUmMMLmOzlRFMK/j5316O6Z0Btj36I8q2/5ErfvKvpH97N5OXvYbjb3k/Tf/zCACj3ddyzRVViKJILpfH6w9SVpVBiGsJuWzMjAVYmcljSvSxxlNFPuIjnQigtxWfa5rJ5XP4k0FcpmImFCuU69S4i4xMja5QWmV5Qf62Bf4y0Zo9L/UQECTpXH6YC+PxeP4IfGpoaKj/xO8zQM3Q0NBZwUqPx9MK/C/QPjQ0lDnfPrPZnHRmFd3zzfDEFP6dj0HrFkTFqodpcugRbnrHB5Dkcg7/dgcUF6NTywlkssyNDRJWZti8EKb27TfDDTfAb35z2j4lSeLPk3u5vLLn5dfj6q674H3vgx//mF2XXcvU6BJq5RA2VQdNmUV+k1fRUa1CEQ3R2bQZ3xU9DPzXt2jR6TFZqlAoTyX0/7l3jsZyFbnxXtRVrczkgqRyaULJMIeXFmh2uLhMVQX5PDvmJA4u+WiTD7OlZyvjIYgd2MO8uQZVmYGrK0RymThGWx2jM0HUKhlzqRSDAzMspaFk4CDZTBz5Bg+Cf5HxXBnHR77Lz8X/40rX63lP/WdYjkRxJ9Oo0iF8ywaafvUDNu1+kJ/9w/dZ0KjIqFJ4hwz84Bc3EEtoeP3b9/OWNTuQlzYwmnKSnVohqpGwZYMopDQ/u2cj/cc8KFU5trz5cXo8u7g7dyezkpcba79Ex0SKL3z+y8xecz3/9cEPkTzST1PROoZCg9RWl5CP6pjPZJhORWn3lDMdG8C7vI+kWY5L4ya/ksNhNlJSYiWciZHJplCmI6iSIRz2BkwrSuImNQcDMRoszeiXvajzVsjnUakVFDfV4nCaOTruY0NrMfsXArQ5TahOhEqW4ynimRwVplXPzfFJP06rFqvxwondkeER5HodmuKzH3jRSIqJER8qlQxHkQFREJie9NPadbbo45kMrURQCjGyUgKNXM1UaJZ6WzUO3aolMuKPEstkaXOazlkY8my5UAjy+SCXz7F/rp/1ZV3k83l2Tu/n8soe/tw7y+Wd556PB3btod5VxWOzfVTYLOgCVtxuSESj9O/cQ8zcTXt2geabt3Lw45/lih9+i96ubg589L2UFZcyHilmNDGJMTzFxz/zJUwhPz/Z9jFSb7oRQ3ESdSYK6TR+HEyv5BFKLFTGlknG4shEI16XnBK5SCSmZnYqhFnwk4opkdtU2C1ylgJq9DYt7sgChuwiDwZraDQbyBsUaHVKvJN+Nhb7Kfn9Dsp/dQ/KcIicQrGa6K8zI5scx2BcrZje+dgIU9IipsVBlJ6rqSt2EluKEJ+ZQ780QvmWjSQTMRYTKVS6MmpOiL4+nScne8kGbWhVKrqetv74kQUaWt1nzW+BAi8DznvTuajnyuPx3ALccsbinmdyAI/HUwf8DHjbhQwrgEAgfrGhPGdcYhxVdSvaklNvQVbT1Ux86iPUfvGrNH/zC6zc9d/E03l0OYlISosTCA/sASDasZbEGY0t+5ePUmeuwueLvuDjf7Yo1UZMQHRsGjbk0CmU9PnyrKtb4qAooAtGmemPsim06mLR1nWQiGfJ6cqZHe9D0jQytRghHE/TVmMn5h0kH1Agr9LjlunJClm88cO8ufoaHpo+zB/kR3EMLyFrrkfmn2ZB18mB7XuoaPNg9VRRIgoMBJLMmK0YyRAMHESjr+U3/dNozGpkDiObzToOyTxUj44SH1gmYjdRJx9DU/F+Hpl+lCeWtrPG8AZkWge6tJvq+SMYG4vIbWqC3Q9SOXgfkeuvIbsQY7HYxrvf8ig//MVreOCna1GFkly1bRpFxkRRlRMheZCJfUV853+2Eo1qKK32svHNv8fTLKNvppfZrJcObQ9XidV0HP4DAEc8FcSXFlEquhhKhFGHU0yOyzBk5yipb6e5JEONy4amrwTtVbex9/AjFBkuo3adk1w2z+TILCr5EtaiVZXpsCQysdzPtFGOMSKxNpCmRlghkFdSs6EVQXbqhSMVTxGNplhYDFEmk/H48AKd9lUF8gF/lGaL7mTj1cnZIDadguXl8192dquW5dFpDGvXET1Pw9aiMiOxSIrjRxdJxNLUNbueUXNXsyQxGJDIZhewa2zUGxogDhOhAKPhOBV6DSUqBSsv8XXjcDyzZrUA8WiGucUVBv3DNFhqWV6O4DKq2HVohvqys9uxtNfUc2D4KNXJcjKzoCxRsxiRyCUDFFdaGPf2c2BOTd+PdqPufC011Q/QeeggTx67lj+lUuiESRyBHO//+lcxhfzsueHvWG5vxrzci1WuJhF3Ig/GcIoJbFojCzvHiKh1VJjixNwyWEnitkkI0VLWlUvsWzAQSYmULknEh5epcuZX79zxPAMpB2algoxejpTL4z2yhEGvwutNE1nzGmY2v57K/idx/eQ/0a54mbrmNThiWXqHpoglM4wdX6TKOklzZycj0jJjvRnEbJIKZQzDG7Yxc9/v0FzuweloJJPOsW/XBEqVjNLK1Xvx3uEZlqNxrm2vQiGXsbKyel6kklkSycwz/htdKs/mPPhLpTAHz34OHA7Deddd1LgaGhq6G7j76cs8Hs89QBHQfyK5XTjTa+XxeEqB3wLvGBoa6nvGo30hiebR1p/uLjSpDAz81Rsp3b4D9QP3oXvofhTbbsCkU7Kpq5adO/eyeXY1Vz+zfsNpn52PLmJWGU/mxLzcyJ/IuRKXvVToNYxmAnz0mm1kUxmOBqJsqdMRz+Xw/fBuioAVo42U38SDS724FEUoOY6nphmVUkY2HSIytYS54+qT++/zHqHT0YpCJqfF1oA3OkZFSyXyaJLOnteRycPxYjPi/ASi3U5mZgabsYrJSAK9Qk0sZWbeO0yT240Yz+EuMrC06GVDsZ7ytW8i/OQu0pkcM5KaqiqB4cR7udv3DbYv/4r369/LdLiPRKYBxbEwjuiqkWFbmEWXS5GvNuPMT1G+pga78V6+cdeb+c39m1EYd/La69IEc1Ns/6/1/HFnOzJZlhtueBT7NXtxxcoJzkT4Q/p+NKKRLfqPkp/z0bH7cXJKBSOectKikVQySSoTo1GhoNu+gKllC+MxifU1Rfx51y/p6XgtWZmKSFJkrTlHNh0iFZulpFTLSqqC/WP70Bj0uIvq6am5kXjgMLq6NgRBZOrYPio7uk8zrJ6itsTE2FwIT7mFKoOG0VCcaqMGUeCk5+Z8IcEz8e8/gK6t/aLb6Qwqahud5PP586ppn8mqN0qi3dGyKvAnSYyEV1+g2q2Gl5+X9xnQaK3nsekn8FhrT4YHrUY1Y/Nhcvk8sjPmRilToLXJaKp3nZE/ZiZVrEN7+FGmi+uQHVvCtqaTYx+8lZJ/+BB/9ZN7+P2X7sWf8PPWOz+OdWWJoTf/NUevv5wym5Px0TxMhjD0NJEVBYyLE6hdToo3rCHde4BJmZFAaIZafYaFkTaUTgWJHFQ5SpnRTuGbVCOVlCNTiMgXlxHMLvJCEGUeGm1G5jNp3IRRJ+KIVjeVLTbG42l+bbyMdNNm7Ht243rjVnxTfmpLzBzvnaO6PECN2UhOUcnsvsM0Vbiw+aYwdG9CEARs27aRiIwhCKuFEDUNDlLJDE/uniKeyaMq93N9V/dZ58XibKgQEizwiuRSc67+CPwVsB3YBvzpHNv8EPjg0NDQoUs8xvOOqbn5nFZps6OJPf/0Ea74qz4M//gJ/Js2I1ltmFUKXnPlBrT//EkkjYZs66kHUSqXZjHuPS3J9eVG3n7KuFLJRFwuHbPLUSw6BfmcxNhciGgig3tiDoC41UFLxMuwC7rK3WTiIOb8gIP40nFUxgoE+eopMxqcoNxYdvKhUW3QEMmUM5gepXElg7q6BpVMoFyvZq68BufcFJNyNelsiPCKnrhJjU2tZWuljkxkjOFMEfK8xMrKAo3dawBQlZezPLKuk2oAACAASURBVB3GJdOTC3j5x6uuY/tvfs5A6FH89msomY2QzuWQJAMjTTUkjQbc45PMBGxEwuVkTQeRZQJ0OWb5h7//NV//3pv4xc8uIxrr48DObrwrJuwlK3zghrtQeKI0ZxpZMua4z/9dMmTYWvoRAn4HxRE/htk5jrSuoZ86TMtQ4vDhVC3QUFSNIhNmKrxIrUtFqHeE1sqNPDbaj1VuoaO7mcjIXmTqRqYzElImigk/PfXtRKJmgjNxMtU5tOYm4oFBNKZ6cvlVcdBzodcoiCayAJhVCvypDL2+MI2WU+KKEwthqtwX7qmXDQbRaLXkVeeufD0Xz9SweopyvYaZWBKDQs5UNEGtUXsiH+uViVyUs87dhVl1em+71morR8b8dNSdLT3RZPNwPDBCq73ptOUqXRlWUzWJ/FFCCjsKQc6Es4LZ67ZSdv92qh7/Dy4/eISymXGGr9rC8b/5CJnpFZJlBi6/soon/jhAQzxA3cYWaCsmtO9JUv37sW9ow66x4UuUIA8GiWT8ZMMzODQlbCrPMpNpYLdiHF1YwdGlCG+6rIVqfZwfHxfYVuekf3KGpYU42RIXKXLMjQWJDi5hsTrxlBRR32PB2e1GW7Yqd5HL5UmE4+hly4T0VWTnw9RUumF+P4YNrznVZDsyhtpwKpduYSXG9FKU+iYX/uQi8SUrCzMh3GWm0wysQpVggVcql3rW/i8g83g8O4G/Bz4D4PF4Pu3xeDZ4PJ56YDPwzx6PZ8eJnzc8P0N+/hEEAUfrBmY++iFE3zL6L3z25DpNJIz82CCZ7rWgOPX22ec9Qoej5aUY7jPmqYR2cdkLgEatYCWU4MH+OfKhFG6blq56B/Wx1fXKyy/DuHYdlWE5vXv/gELhIJ30kk54yS4ET3r9gqkQmdyqDs1TCIJAqU6DVVPNlEtO/NggyVyOpUSapXiKY7ZiavRa3KMD5DM5lDKBBrMOpUKHxtRAjWWOHQeG6Pacyl9Rl1cgLS9QvL6bZF6DdyzOLXXvRELitzM/o6nKSqg2j13mo6c2RqimFmMgSNKdI2XJUm6wEoxHECQ1xiIzb/zo/ej0CR74XQfLfgOXXT3EB//hV5S6Q3T5XYjpIIPaAQ6nByhVt9BjfCvFpVG6BwYAONTRjtmmQkopUan0GJJ6lIEY5jU3I1cXExsM4EvJiSWWaXApmeEQgcQKs8XlLB8eocXeSJPBhVtjQ60vw1FkoLbRyeJcmOmJMAqNG9/M42hMF5cTeCpXstqoxaJSoH1avmIwksZiOL/RlJqfI358EFPrC3v+GpVylpMZguksHTbjK9qweoozDSsAtVKOKEI8mT1rnVKmRC7KWUn4z1pnatyMPa7HaJtlemyRTWVm9r7zIyR1Orb8+F7qjx5l5cqt+L52F9VSjKoGHdc0thGSww03dnPwuJe5sUFigUHSkUUUOicaUz3jUS/Fshy5dCWVdTYcVXZmRTt/GkmTGB6meiWGSZxijVvPjlEfdz0xQ2B8hT3944ym1azb2EhOF0N0xNjkcfM3G9z83dUVbF1XQaXbeNKwAujfO4MuPIxksWMr9iCTiZRnI0TcJkSVCkmSiAePIVeYEEUFoWiKvYNLpDN5eppcWI1KokKYzvZqzFYNY8eXWZgJrmqWFaoEC7yCuaQzd2hoKAf83TmWf/Vpv748Y2Xnwam10/e2N1L00KOof/FzUjfeRHrLVhT79wKQ6TkVEjzmH8ZjrUV8GfVWOidaLXmdHnF5NafKrVWRt+mRGxR4nta6RzYxjiSTMW524MlLOFq7mV4QiRw9gigKRJWH0Jd3AKuJvUP+UXrc3Wcdzq5WMh9LkdXY2be4SMlygFqnlQazjsFAlCNGO8XuUpomDiN3bWYkFMdj1iHKlBhsbbymbQSN/lSZdmAljrmznfjRIzhb1nN8ZD/bjtn5pbKSQ+l+Diq8bDQ1MV0kYTi2wHJxJa7eXioP7GHimnKycQvWpd0MVW+iLBiksVKL8JH76X+sm2uvnEK/dgTb/DxW83oi6SWS6Tj/M/EDZCh4U/k/khpdRuOUqN3/GDlRZOiyDaQX1XRWK/BHpijX2MhazfzpySka5WEsJQ6odDERmkZCTqWjjTpHCwpRTjJrJTk7jGhWoDHWnvyOgiBQUWNb1Zoa9xMJV9Ox7sJhkHKXnumlKBVFq/H+auOpS026QEgwNT9Hem4OpduNcf3GFyU0122/sAftL4WWahv7j3npaTq7/LvRWk/f8gAyUXaacSYIAjp1NTGzgLG3jxXPa9Fl8sy//51U3/FdYmvXc+CfvkWbTcnu0TA93ZcjE0Wa9Dn6liepbTVw7MACDXYVRWu2INPpWHjiEcxtNYSCMVBKxDIiNkMNYnyClbybZUsFVrsOv3+BurQf5ZyI4JBhaqrkeCqNnQAT4Wle29GEXqlBkiSGBhZZnDpObdvG075XJJzAe2QI81orTeUWFufilJszSGk1MqONZNJPLj6LxuQhnZOx79gSRq2SdY3Ok+fewMoxWu2NAGj1q+HnaDjJ2PFlouEkrWsuXjxRoMDLkZe5dfDi0lrUxr4v3Iokl6P/5K0I0QiKPbuBU8aVL7GCXJCf8w325YjkcCCc8FxZVAqOeEPUmU63e2UT4+TLymlxWRjwR8hLEs2OJqbLNOg8jaiFCpRFq0ZP3/IAHecRSg2ns6TzeZKSCUuVDvNwP6IkMRKKAaBVyCjq7kKrhMihfvKSRDqXB0AQZWjNDaftz78cw1HpQsrnGRoew+IPYbvpZj4Q2QLAD5f+gE5ppEkZxKcOku5e9dS1Tc1RIwxijMyTLrIRSS5jVE5RKctSWbrEh//fAawNM6jzPsokD0qFF1l1M/8r3U9ICtFleSOmGQtJxSKawRVKZkaYaGgkKffQXetgyTdFcUogmBKImmpwm6PE1V4mLEl8iRVa7Y10OFpY4+pAIa6+vyhKbCSWRlBrK885d0qVnNpGJ21rqi5q9DjMGnyh5DnXTS5GqCw6PckyNTdLZP8+yOcxrF2HqvSZK5gXeGaIgoDdrMZ7nsKcDkcLo8EJopnYact1Tc04omXoNEtMTSyQS2Xhfe9ix1e/wa4vfA65TkV4aBcKRwXZxBTx4DFkUpo2dy2qmgYS8QyhlEgwKSLI5SxUW9GNHGNpxYJ38ShqyhHlRszOatasSbOmwYkhK2HT2dmd0ZDWaznoV7FrdJJYOsR6Wxltugp80zEmR31Mj/vRaBVEo3JmJn3AqgE/NbbCgYf6aesuQueQWJhTUVWmIbu8jKa6hkqFgknfYXTWNiRBwf7jXro9DhoqTumnhVJhNHL1WdqAeqOa2kYnzV0lhZBggfOyY8ejz3jbn/zkHgYGDr+Aozmbwpn7NGSiDF3nBpY++D5kc7PovvT/odi7G0kUya5ZSy6fYzw09ax0eF5q8g4n4ooP8qtGzE0NJaeVvguRMKJvmVx1DaIg0GzRczQQRS1XkZPy5JQKtA2rb5arQqlFqM64GaZyeQ77I/iSabrtRuxqJXWWRg67tRz5807cWhVNFj3tVgNHgzH0Gy9DkY7hGD3OUOj0h81TPBX2yieTDMWzVCzNUHvl65nY+SDd7TfRbGhmMHyEo4k+ZKN2uq99LxM1beRlMipHRpgNRonFZAjOCnypHAdilQiJJJgcHJ/2kcpnSC+0kg6MMy5U8vjiINtTj2KVufnr+StZlEdI2TOULTwOwEDr5dQUGfEeXUKQpbArI8TaYGB+Alc2ROu6a2l3tFBtqjzLo5nPJkhGprB2vI5o74VTEJ/rw8QfTp2UX0jNzRLZt+p5LRhVLzw1xSbGF8LnXd/tbOeo7zjJ7CnDWJDLQZIoqr4aY/4g2WCYhbSFshuu5rBPj+h/mJn4HJlMFJW+Bq25EaW2CJ1Cjsu3QN2acgZ8GWLRFMOz0+QTGiYDcvxzA6zpbsdVaiKZyFBaVYpaX4mcMWTOBMnIAoZsgqXkGLJMlMpiN9ta6qn1uKiss1NZu/pTVmXF4TKgULuYGzvG2HEvE8M+LGYFqlSUYJUKhV+gqr6c+MARNG0txPxHUKttJJWrshuHhn2sa3SdlfA/HBijzny6yOzTUZwn77BAgYWFeR55ZPsz3v4d73gXLS0vbn50IaB9BqWGYg69603Ytj+G5kd3I8lkZFvbkfQGepf66HS8fNrbPBPyDidCLocQCCDZbGdpCskmVishc1WrBqNaLsOtVTEejtNs9TC4cpx2RwuRdJRYJnaaUGpOkhgOxhAEaLbokZ3Yd51RywFfmLqiVryxJ5FNT0JNLYIg0GbVM+CPUlNsZSmjRxwfJaRvwXRGr8al+TCW9DLjg7MUtTRjCfmJ7HoCJSILJfBBzef4cO9b+eqRH/Ljjl/j1DmY6tyIv6IE68Q0lkmRyRIDalkxRv08cyEDbcklKtNWYhYHamuCct8A88ZmtGo9v5r5CgBX6W5Blclg002TNlhZMzgEgPyGm/AvLyAY59Gr01jzZryxMi5XJXH3bD7//OczxEPD6Kxtq5VSRW6S01OoT7RbulTsJjW+UAK76VQj26cM0tTsDOn5eZQlpRjWnamaUuCFpLrYxNh8iJrisz3bgiCwtqiTvYuH6Ha2ozxRDKJtbCIxOoI2rUdTFGL06Dil3Va6yuMICxK58mupN65wbLiPtFiKIMooEWLo8zlyNTXUaa0cODCIqU1OaUrE6/DQZZwhOR1kLp1BXprk8Mw0wtwSsnQCvUbCoa4mmXeSyDtoKteQckRIRkOM+RIoVTKKy83IZCKiKKDVq2juquDwXh/ZbB5PSxEHf7adhq0bODLWT0d1Gcm+g6jbqkmGR9BamhAEGSZVmKMzC7gselRnGEqT4WkqjGWvyKrRvzRuu03Fffet5g3m87qLf+AZsG1blttuS11wmwceuI+9e58kFouxvOzlzW9+G253MT/4wXeRy+U4HE4+85kv4Pf7+dKXPn9CrDbHF77wJe6442scO3aUH/3oLt7ylrdx++1fJBKJkMvluPXWT1FbW8df//WNrF+/CYvFwuzsDFdeuYWeng18/ev/wvz8HOl0mltu+QDr1q0/uW1paRE33/w3z8scFDxX56C5uIPe2/4fkiAg5HJketYzHpqkzFBy0ZYcLzfOTGo/E9n4GAC56lNvkHa1EpkgEEhLiIJIMpvk6Mpxmm2rYTtJkhgLxxkMRKkxamkwnzKs4MRDxGGiwqDH07SB8YVjZEMn2rWIIrUmLbPlNYjBZWqrKznWe4Sni9nm4nGi+/YgOqykq+oo0WtAEIgd7ifZ1YgtmaPbso7NpVczlp3hK0Mf48jQw9jzUaLtVYjZLO60AoVRgUYCn7GOpoSX/QELqpyciHESVUxiKaglXFrOrwL/jTczQYdqPU3uLrzucspX/FREBcoP9xJq8jBkEGkqLkUeF1kXjKNu85CZD1O0cf15516ScsQDA+isrScfIqqyMjLeJfLp59Yg9am8q6czengU+9IYiCKGdT2oSkqe0zEKPHucZg2+YJL8ecSZRUFknauTg0t95PI5AGRaLVI6RZmzkkBGRKf2sW9chUOTx2RpYiGQxVXcTlN9Gw2uIDXKaSLTMxwX7SzMhhmPBYjocqhmjXijMVz2caYSefY/cRBp6nFMI4vofUpC1nYWizZyXNVNjAylRQ6kHFxzRR3r3Q3kTUkSdh8Ot4HpMT9jx5cJBxMnx17XVEY87GPqsT1kLW684TBOSxpxLgjFChAldJZmBGHVkHJrShicn6PcdXqYOpfPsZIInFYQU+DVycTEOF/96h18+9vf4667/pOvf/12vvjF27nzzh9gMBh4+OGH2LHjEdau7eE73/k+H/vYJ/H5fLz1re+go6OLv/u79/KLX/ycnp6NfPvb/8knPvFp7rzzWwBks1nWr9/IO9/5npPHe/jhh1Aqldx55w+4/fZvcMcdXz9t2w9+8IPP23creK7OgUqmRFq7Hv973oPt7rsJbewhkU1Sbap8qYf2rMnbV29g4rKX3Inw3tM503P1FBUGDQP+KJWmWh6Z/hNbyq9AEATmY0mWkxmqjRoMz6D6y6g0YG5fw+Tex6m5ehuCKGJQyLEZdCzb9Sx4U1TUVjGyex9169eSGB0hE40iNncwrtDQadaR9nqJDRwmf81mtBNLGCtKiUQSvL30AyxE57k/+CQ7HuvnH9o/yPs3vwF+8zitywPMCGYEIUyTsohQmwMO+ZmcKaZM5iQ3LUdtLSGWm+VPwR9hEA2sV78Di1TCpP1x7KZ6ah/5PbJcjsTrbqTJVUVgahiNTMJqL+XQ3mmuvum68755p+OLZJJedJZWhDPChPqOLiIHD2DsOb9hdjGeftynPFX+vJmeyy99nwWeH1qrbQyMr9BWc27jQSbKWOPqYN9SLz1FXavNoatriB09iktdQ1TeS1YxjTYgJ1blQTa+QjaXRy5TolZXEDl2gKJOO+r0OAfCy5h1ZlJuPcPDx3Fq5RDVEUhZ0a/zMDg3hwIbdr2BSrMWnVqBTi1HJrhIhIbpuL6N6ViKCq0KtDVEMzEOrxyhrrwai9rM8mKEsePLKJQixWVWjKHdTCdLcNW78KanaZaLZPBiKtmMTK457Xv2jvioqVCepZ7/9CT2Ai89t92W4rbbUicENM+dpvFC0dHRhVwux2w2o9frkSQJl2s1v7eraw19fYd4wxtu5LOf/RSRSISrrtpCS0sbhw4dOLmPI0cOEwwG2L79AQBSqVNh96am5tOONzR0jM7O1WIsu92BUqkgHA6dc9vnSsG4Og/Vpkr2/v3b6LnprRx0C6yzvvS9ii6FZ+y5qjo7j6zZouPQSoTXVW0llM4yHFrtA9duO78q7bkoMbgZbq1n7slHKb3sGgBcGhXR2lp8u3vp9mxmsbqW0O4n0TU04JM7iOhlNJl1ZAMBUlOTSGYjPouC+mwRSp2b0MoA9pyb393wR27b8x/cP/IdvtD3Te6Vl/GDMqjo70PadhM+vwq7TY43KVHfCPnRSYI+CyXqABPOLr4/80lyUprLNTeDaOFIdDflhhrUDj2t/UsA7GreiCycZm5uliZFlpmVFDUbLkOmON2LKeVzJCPjSFIWhdqJznruGL8gl6MqKyc5MY76HPP+TFGLEos7d2OpKEW/dh3yYd8l76vA84dWLSeXl0ims6iV577FKmQKOh2t7F/sZV1RFwqrDVGtxkmMFWUj8vAoWEvxLh2jpUziid6juGwiwpEJpPZq0sEJ4pkoGzVmFLI0KmcJk+XFeMM+FgNG9FYter2K0vImxMGjOEvc6DWap3mYNWjNDfiXe9GZK3iq9ateoWNdURfDgTHmogs0uxpwFBlIrgSYuu9hhOoiTBkrWp0CW3SEvN+Idf3ZLxnDM0Fqio3INSqmI7NUGFfz/UKpCGrZ2UnsBV6d5PNP9/AKZDKnPPqZTAZBEKmuruWee37Ovn17+N737uS6695w0gADUCjkfPzjnzpnTpVcfmakSTgtSvLUMc697XOjEBa8AI3ORu6zBGhztrxicwMualydkGHIlZ2dA/RUjlSvL0w0k6XdZsCpubSbYr2rkWWLgsDxIyeX1VgMZG1GxkcXqbOZWGjuIG4wMRxLgExgxhdgYGySuViSJywqVIpKposrGDt4iJTJQiKWZ9/iAndc8Wm+vvZHXGO+nMHsDJe9Bz5dM4QifgyUMaKZCPpUjiVtJQHRgL11LTpHBU9yHzPx/TRqamnWbcVuU7K+vpIbe1rocFspOT5A1OHE7jHR5JbIRCRKMxkCZZVUV5/KPcumw8QDgyQio6j0FWjNjSjUF+5TriouJuP3k0+eu+rvYiQnJ3GvTLDoqEZVVsaMN0q5S3/xDxZ4UWirsXF4bOWC26jlKlrsjRxcWm1goSpykw8HcWjKSOY17FUp6Y3LmMJN1thOahCEDW/BK69jSVaDxfl6fIaNLGi6mYmEUSQmcedsvK7OzeurXfQ4zdQYtdg72lno62ckGONYMHryZyiSYUKoocKgJB48Rjx4nFx2tdqx3lJDlamC/Uu9eIcOk52dovrGa6lqX0tpaYQ0BzEEMtg2XH/WvTGayBBPZXFatFjVFgLJ4Ml1I4FR6i3nT2Iv8Ori6NHD5HI5gsEg8XgMhULB4uIiAH19h2hoaOSRR7YzPj7K5ZdfyXvf+yGGho6dzL8CaGpq4c9/3gGshhnvvfd/znu8xsamk16vpaVFRFHEYHh2zoJnSsFzdQH0Ch3XVW99qYfxnDhpXPnO7dWQTYyTLy0D5bmNJoUossbx/MhOdDRdwcGdv6HVUYTKtqoev25NK9sf3UdFjQu7SslsME5eLlIhh8zICKVlZYz5gmyp8GA40Ug63dRIPhFHbQ8xvJRiTPkEDq2Ft2n+lvUNr+N327/ETxvi/Hb4NjZaruYa18dJs4RJFkCwWxgb2EmfVc4fZ36AUlTzdt270ZkilDqUOI1qFmKLbDiyhBiLErzhZjK//x2P11bgSmqZtLlob3QgSRLp2Ay5bAyZwoDG3PisDXB9ZxeR/Xsx9my4+MYnyKdSRPsOoSotx9LTw/jQqobZcjBJt8fxrI5f4IVDJoqY9Sr84eQFm2frFFrqLLX0eo/QWdZKbHAAoxDF3HAVkVyeTpsCu0lDZG4/A64aJGmGBnMRRbpVodl8XiKZyJDM1hKMxLFYNBhMp44nF0UsWjXGjnbiA0fOWeCgNRrQpgxIUp5UdJpULoEgKtBoy2mcy7OgieItsdAMCIKI1mBjcfAA5ZtuPmtfkiRxeMzHhuZTngW5KCeTyzAXW6C8kMRe4GkUFRXz+c9/mrm5Gd73vg/hdpfwxS/+EzKZjJKSUrZs2crY2Cjf/ObtaDRaRFHk1ls/hclkZmjoOP/+7//KLbd8gH/5l9v40IduIZ/Pc+utnzzv8bZs2Upv70E+8pH3k81m+NSnPnvebZ8rgnSexMsXm+XlyAs+kFdjY0rZ+CjW9V0k3vYOov/2H6fNgRAJY68pJX3VFkL/+5sXZTzpXIajf/wFHde85WQrnZldB5h0uNhUV8rDR+e5utpKvPcAhvUbmdn5R+hsORlWeIrI/n3I610M9C7S2GYmP7TCbn05jRVg/uHdPPLHO/j0NjVBktgUbm6oeC8udSXaXBGqg4P8zPUovZEHuU7/Bi4zboOsnrqSNDkhTavSgPvbP8D84GMc/PdvMNZYinf7Ak1NVUSMctpbnQhIqPRlyBTP7a0n7fWSC4fQ1NZddNvkxDiZlRX0HZ0n565/1EdTpZXDYyvP2rh6NV4PZ/JCz8GewUXWNxVddLuVRID52ALVPoGsb5kFYx0LkRRVTj358SESRgNjuQhGXFS6TjWJFkQBtUaBWi1DHguhUIiIGg2iVoOoOP2FKeNbJr24iK7l9Irnc81BJuwnePRxVKUliIKGdFxkcnGIYo0TeSqD3xWnvu66s77HwMQKZQ49Jv2pDgHpXJqhwCjpXIZu18V7Wb4UFK6FF38OHnjgPsbHx/jwh2990Y55MS6hcfN53xQKnqu/cC4UFpRNTgDnzrd6oVDKFFRtvpZjO35H02tuAqB0Yzeh3z/GLoOeCgTih/Zj3HgZgb4D+KscdBrP1mfStbUTHxzA6UozvWuJustaacrI8QXSqDo7ef9X4Jriy/jczTrunfg9Pxz9Z5pMa3h39ZcZr5XonX+QMoWb18g3MxXTUlVczljex/qKJkwuC+p9f0/KbEJ7VRfdooa9DSJLpOiqEdCa609WRD3n+XA6ic7PkYvHkWnP3dTgpLeqrALDmrWnrasrNfGn3jk6ai8chizw0lDhMjC1GDmppn8+bBoLWSnLtMOP7fAc5V3riUz4cQoBFsvl4FSyzbqR3hEf7goLSoVIemGBzNIChAUQBOROF0h5Mis+8rMJpEzmrOOkl5dJzc6eFAUGkJk0REOJ07bJRyOoq6qRxTWgEVHoI3ia65nPZZmNzLGhqPOsfa+EkshE8TTDClZbAIVSYdYWdT3b6StQ4BVLwbj6C0fSG5BUqnMbV+eQYXgxMOttRGo9jB16nJqu1SpEvdWCLRAkPz2CcevVZENBJhLzdJaduyWlqFIhanU41XbGMmOsxEXKSgyMDszTtG4reYUC98QCn5N/nJ6OK/i3gTsZDB3gs/1vRCczISDw7op3YrA2Ur2cRl80yBpHK76oj90/f4ibVlaYve6vWIxVE5kLI6lLKRGXMDq6njfD6il0be1E9u3BuH7jWesS42NkA34Ma9YhyM4+rlatIJXJ4bS8orpNvWpw23T0j/oIjJyt+SOXCyer97RqBQ61nWw+S9CgwN9/jGq7nmH/KK7mLqq0TjJeL7XRWY5uP0J9qRml242uo+tZh9nix48ht1hQnkgKtjoM5JYjSJJErO8QWo/nvDpsFYklShRK1Lri05bnJYnhmSAbWs7tpbuspFDFWuB0Xv/6bS/1EF5QCsbVXzqCsKrSfqK/4NM5nwzDi0FZZQtD3odZmh3BVVpH+aZOeu/6FZ3vegOCXM7wgUfxXPH6C/Zv1HoaCO9+El1rK9FwipQtQ7lCzrF4BldHF6pDB5C3r+WKvn0Iun/kiOEIP1/6bwIZL9fXvJE1xhYWIhpUDgMreR+B+BL1OjOqgVUVdcNf30ylU8//7ZykrUpOWbUFudJ83vFcKoIooqnzEB86jtazqiWWTyaJ9h1CXVmF5iLG77aNlc/7mAo8f7TXnluSIZPNEUtmiSWzLKzESKSy5CUF3qJGNDseJuGxUeHyoByeI8YcCqcTQ2cX1uIIEYUMt+3SBB+1DY1EDh5AptUhO5HMm4vHiPb2ou/oRKY7/36VGhdKzdn9E/tGfHTUFXSrChR4ioJx9Sog73AgPzoAZ+TXnZJheGmqdzzrrqF/+70YbC60GiMdt9yEKBOZ7tuF3tOEXnnxh4dxw0Z0uTxToytMjq5QXm1leCFMqKMb+/69BPftQL+uHfvDvbwx0kNlVwPTiRE2qxtQ6tcw4d+N3BzgXE1glgAAE+5JREFUlvq3o1Fo8CVSuHf8ibxGTaithN4HD7HBBS5lErnh4rkzl4rCZiM1N0suEiHtXSIbCmFYtx5BLBT0/qWikMsw62WYzwijgZ2FrB+zswx1WflZ50BlkZE9g4sUWbWXnByu7+omsvtJ9GvXEpucJD40iXHjpkva37wvhsWgQqMqPE4KFHiKwp37VUDe4URIpxFOiKU9hWxiHEkUyT3HVizPhZar38SxHb8nL+WRyURi0QChoJeK8mcu6CaTiQgCuEtNrHijGLIScy0dADSNrjCaSaNbV04kmWDdmJlGSytupZU+bz8KncTWiivQKDRkIxGWHnkU9eQkia51eI/4SabjlKw1IavVoTZUvkCzsIqutY3YkcPI9HoMXd0Fw+pVjHvtZjQVlec9B1qqbAxM+C95/4IgYFjXQ2T3bqRsbvV8uwTDKpPNM+ONUuU2XvJYChT4S6Rw934VcEqO4fTQoDgxTr60/LwyDC8GMoWSxu4t9D15H5IkMbTrQZo2P/tYfGmVFb9vVV04k8lh3rAJAMWBffQUryNFjIUmJ7FglOahCFbnOuRLQaqTEUqmIkT7ejk2PU/b8dXO6fEb38KMWELjpk60lkbUhsrnPdfqTARBwLhx08lcmAIFzodeo1jNkUqenbT+TBHkckyXX4G+9tI9170jy3TVFyRAChQ4k4Jx9SrgVMXgKeNKiEaQeZfIVb/4+VZnonW6KTGVsuuhe6hqWItM9uzDCwqFjFxWorjcQi6Xx5vVkCwtQ75/HyICGyu24M+PM1uzhip3E2P7DpA0pGle/xr0nV3IWtpQlJRieHQ7kkzGSPUaRFGgpMKCIAgvSK5VgQLPhZZqG0fGLyxU+kIysRCm1KFHIS88Rgo8d26+eRvxePwlHcPXvvY1HnjgvudlX4Wr4lWAdKK/oPC0ikFx4sWXYbgQrpZu1rZswVJxcb2n81FaaWF2MkCNx8HCbAjW9iAL+JGNj6JSGlhnqyKoHeIJyc2INYHJWU6FaVXmYSgUoyERQnHoIKG2dWQMJkpPGFYFCrwcEQWBMueq1MOLTSKVxR9OUWy/tKT6AgX+0ilkIL4KOOm58p4yrmQTL40Mw4VQlZVffKMLfV4tJ5POolTJMZrUrNS1UcKvCO/cha6mjp7aTYweeJB9vt1cVl5MRUklAHOxJMVaNer7fglA5rrrCfjiNLa5n+tXKlDgBaXErmPv4BJlTj2i+OK9CPSN+uhpOrtqsMArD91tn0N1329BFLDmnx8t79S2G4jd9uXzrs9ms3z96//C/Pwc6XSaW275AAA/+cmP6O/vRSaTcfvt3yQWi/GlL33+ZLubL3zhSzgczpOfzWaz3HLLB+juXsuHP/w+qqtryOfz7N69i5/97P9QqVT09h7kl7+8l8997jZuv/2LRCIRcrkct976KWpr69i+/QF++tP/xuFwYTTqKCo6W1fxUih4rl4FnEtI9KWUYXghcZeZmZ8O0tRRzLBx9bsp9u8lm5cQ5WpUgowPbdhKjAQeewU5SWIlmcGpUSL+/vcATLdsoqTcXPBaFXhF0F5ro3/0xWnanUhl2XdsifpSM2Lh+ihwiTz88EMolUruvPMH3H77N7jjjq8DUFNTy3e/ezceTyPbt/+BHTseYe3aHr7zne/zsY99Ep/Px8MPP4TNZuc73/k+X/nKv/Lv//6vJ/dbXV3DJz/5GdasWcfBg/sB2Lnzca68cgu/+MXP6enZyLe//Z984hOf5s47v4UkSXz/+//Bt7/9n3zta3cwNTX1vH3HgufqVcC5cq5eahmGFwqtTsnCTBBBEFCv7yKnUuM80svOYJQWq4EmVyc7J39LhfNKAI4HYzSYdWSW/Wj27CTT2saMZGRjQfG8wCsEtVKOWikjGE2dQ9bh0snm8swtx/CHTzUXV6vktFTZ0KoLj46/FGK3fZnYbV/G4TDgf5Ha3wwNHaOzsxsAu92BUqnA71+hq2sNAI2NzfT3H+KGG27is5/9FJFIhKuu2kJLSxsPPXQ//f29HD682vA8lUqROdGNoLGxBYArrriaXbv+zMaNl7F37x7e85738/nPf4ZgMMD27Q+c+FySUCiEVqvDYrEC0NX1/HURKFwhrwLyjtVqnqdXC74cZBheKJxuI4tzIWwlVmKN7Rj692FKJgik1DRVlPLwcTfveU0rU0shtHIZClHA/7NfU5zNMLf2KopKTAWvVYFXFA0VFp4cWESnViCKq8r9OrUcnWb1X9lFZD0kSWIllGTOFyMvSSCBKAqUOvSUu/SF66HA84zA0/saZzIZRFE47TwTBIHq6lruuefn7Nu3h+99706uu+4NyOUK/vZv380111x71l4VilWTZs2adXz3u99mbGyUkpIStFodCoWcj3/8U7S0tJ3cPhAInBZOfz57LReMq1cBktmCJJefFRbMl5aB6vl703258P+3d+/BVZd3Hsff5+RCEhJygQBCMNwfwaCWm4oKEbyjqzNeenFsNTLoSBzZruxY152mu7Ct2BVdt3ScoVurrbZaL2sLLRoGpJRCgQCi2IdLsC4FQkIQknDJyTln//id0JAmVcMv5wd5Pq8ZZs7vd06SL998z8l3nt/ze56c3AwO7j/KwMG5NF74JfpsWU/x9vep+tJkLi7I4Y7xU0lPS+HjxuNc0rcPe3bUUfL+7wDYOfpySoxWmpZzSygU4opx3hzBaCzGscTK77WHj/PxiQixWMdfFydObk0jR44cp29uBiXDCz6zERM5U2PGjKWqaiPXXHM9NTUHCIfDZGfnsHXrZkpLZ7B9+zaKi4dRWbmcQYMGM3VqKbm5eaxc+S5jx45jzZr3uPbaGzh8uJ5XX32FBx6Yc9r3T09PZ8SIUbz88ouUls4AYOzYElavXkVJyUXs2VPN+vVrueuur9HY2EhDQwOZmZlUVVUxYsQFvvwf1Vy5IBwm1q/wr81VYyMpNQdonnZ1sHF1o779s6mraSBlnDfM2/TOKoZPLaW64Tgj+mdjDzUwLCeT2gMN5GaFyFhZyYlBQ8i49Ivv1SZyNkkJh8nJSicn6/OtX1dYmENtki4HiQDMmHEdmzdv4uGHH6ClJcK8eY8zf/632bOnmjfffB2AsrLZ7N27l+9//z/IzMwiHA4zd+48ioqGUFW1gQcfLCMajVJWNrvDnzFt2nQWLPg2c+fOA+COO77MggUVPPTQLGKxGHPnPko4HKasbDbl5bM577zzGDWq63ertxfycxjsTNTWNnR7IC5/iORNv5LU6t2EmhqpX7mWgulXcPze+2lcuCjo0LrN7j8dpKh3C0UTLqDpyqvZ/exP+DQ7laLsDI6EQxSciFK7v4GRn1SR95Xb2XXT3eT8z+Kk3nUVJJffD62UA+UAlANQDuCL56CwMKfTPxZdGrkyxqQBLwDFQBS4z1pb3clrXwFOWmvv7crPEn/ECwsJffA+NDWdlcswdIfc/CyOpYY5XjSUzPerOHm8meK+WWyoO8qtY4pY/7tqRpcMoNfz3gTHY9feRK4jjZWIiHSfrl5c/xrwqbX2SmAB8N2OXmSMuRbo2X/BzxGtdwxSU9NmGYae/avpNyCb+tpGmsaNJ3z0CMOjdfxfdT1TB+Zjtx1gxAWFhOJx0n+7lJM5eQy48/qgQxYRkR6gq83VDODNxONK4Ir2LzDG9AKeADpfSUyS5lRzdfBgm2UYetYaVx3pndOL2OTJAKRv2sCQoflsXvcJg4vzSE1LIXXzJlJqDlA/ZTrhAPdYFBGRnqOrE9oHArUA1tqYMSZujEm31ja3ec23gB8CRz/PN8zPzyI1tXs3xgXvmqqThiVWna2pIXPvnyEUomDiuB55t2BbhYU57N45gf5AzrYqcv6xnKIhBaS07of23rsA9H/gHlIcrA1n3w9tKAfKASgHoByAfzn4zObKGDMLmNXu9KXtjk+bqGKMGQVMtNZWGGNKP08ghw93/4aNLk/Y65XZhz4ANTVEd+yEoiHUH20Gmj/jK899DeePIJqVTWz1Gj5N/P5bayHn578krVcm9ROmgGO14fL7oZVyoByAcgDKAXRpQnunz31mc2WtXQIsaXvOGPMC3ujV1sTk9lC7UauZwPnGmHVAH6DQGPPP1tqFnztq8VWsn7eQKNXVpBzYT/PUnrsMQ3uDhvWlYczF5G36PaHD9cQTq/Gm7NxBxse7OHHDTMjMDDhKERHpKbo65+od4M7E41uAlW2ftNY+Y629yFp7GfAQsFSNVbBOzblauxZwY75Vq1AoxPGLva0W0hL7TQFEXvPWU2m+6eZA4hIRcdWqVSuCDqFbdbW5+gWQYoxZA8zBm1+FMeYxY8zlfgUn/jnVXG3wmouevgxDexnXTAMgsvr3p86lLf018XCY5uv+dhsFERHpHvv376OycnnQYXSrLk1ot9ZGgfs6OP+9Ds6tAlZ15eeIf+J9+xIPhQid8DZhdWnkCiA60dsQNHX9eiJA7ZYd9Nv1AZEpVxIv0CbNIuKmirVP8KvdbxEOh4jF/FnL+5YRt1ExpfOFAp5++kk++uhDrrpqEtdddyP79++jrGw2b731S+bP9y5yzZw5g6VLV7BnTzWLFi0kFAqRlZXF449XkJNz9k+81yZSrkhNJd73r02Ea81VPC+fllGG7I+2Eo9EqFvyMqF4nOYbZwYdmoiIU7761Xu45JLx3HvvLFpaIixevIRwJ3taPvPMU8yb9zjPPvtDJk26jDfeeDXJ0XaN9hZ0SKywP+G6OuKhENHioUGHk3SRyZeSudPyydurGb5hFQAnb1BzJSLuqpgyn4op8wO7W3DMmAv/7vPbt3/Ik096o2CRSIQxY8YmI6wzpubKIbF+/YHtxAYXQUZG0OEkXcvEyfCzF4n/Zjn5W/5ApOQiYucXBx2WiIiz0tLSAO/Go7ZaWloAyMjI4Lnnnv+b5892uizokFhhP6Dnb3vTmcgkb3m28WteI9TcrEuCIiIBCIfDRKPR08717t2bQ4fqANi1ayfHjnlrX44cOYp167y73Csrl7Nx4x+TG2wXqblySOsdg67Nt2oVHTmKWG4eKfWHADh5o5ZgEBFJtuLiYVj7J5qaGk+dGzlyNBkZmTz4YBnLly9j4MBBADzyyKO89NKPKS+fzbJlv2b0aBNU2F+ILgs65FRz5dgyDKeEw0QmTqLXindh6FCiF5YEHZGIiHPy8/N5442lp50Lh8MsWvSDU8dz5jwCwNChw1i8+LR1zM8JGrlySOTyK6CggOappUGHEpiWid4mztx2G5xj1/BFROTcoJErh7RMuhQOHSLq8P5RJ+78Cqkb/0ivOXOCDkVERHoojVyJU2LnF3P0lddh5MigQxERkR5KzZWIiIiIj9RciYiIiPhIzZWIiIiIj9RciYiIiPhIzZWIiIiIj9RciYiIiPgoFI/Hg45BREREpMfQyJWIiIiIj9RciYiIiPhIzZWIiIiIj9RciYiIiPhIzZWIiIiIj9RciYiIiPhIzZWIiIiIj1KDDiBZjDGLgMuAOPCItXZDwCEllTGmFHgN+DBxapu19uHgIkouY0wJ8L/AImvtfxtjhgAvASnAfuAea+3JIGPsbh3k4AVgAnAo8ZKnrLVLg4ovGYwxC4Gr8D77vgtswL06aJ+Df8CROjDGZAEvAAOADODfga04VAOd5OAOHKmBtowxmcAHeDlYgY914MTIlTFmGjDKWns5cD/wXwGHFJT3rLWliX8uNVa9gefw3jyt/g34gbX2KmAXUBZEbMnSSQ4AvtWmJnr0h6kx5mqgJPE5cAPwDO7VQUc5AHfq4BZgo7V2GnAX8DSO1QAd5wDcqYG2ngDqE499rQMnmitgBvAWgLX2IyDfGNMn2JAkiU4CNwH72pwrBd5OPP4VcE2SY0q2jnLgmtXAnYnHnwK9ca8OOspBSnDhJJe19hfW2oWJwyHAXhyrgU5y4BxjzAXAWKC1kSzFxzpw5bLgQGBTm+PaxLmjwYQTmLHGmLeBAuA71tp3gw4oGay1LUCLMabt6d5thnwPAuclPbAk6iQHAOXGmG/i5aDcWluX9OCSxFobBZoSh/cDy4DrHauDjnIQxaE6ADDGrAWKgJuBSpdqoFW7HHwTx2oA+E+gHPhG4tjXvwmujFy1Fwo6gADsBL4D3IpXTD8yxqQHG9JZw8V6AG9+wWPW2unAFqAi2HCSwxhzK15jUd7uKWfqoF0OnKsDa+0UvLlmP+X037szNdAuB07VgDHm68AfrLV7OnnJGdeBK83VPryRqlaD8CasOcNa+5fEcHDcWrsbOAAMDjquADUmJjOClwfnLpdZa1dYa7ckDt8GxgUZTzIYY64H/gW40Vp7BAfroH0OXKoDY8yExM0sJP7PqUCDSzXQSQ62uVIDCTOBW40x64BZwL/i82eBK83VO3h3Q2CMGQ/ss9Y2BBtSchlj7jbGPJp4PBDvTpG/BBtVoCqB2xOPbwd+G2AsgTDGvG6MGZ44LMW7a6bHMsbkAk8BN1trWyexOlUHHeXAsTqYCvwTgDFmAJCNYzVAxzl43qEawFr7ZWvtJGvtZcASvLsFfa2DUDweP7MozxHGmO/hFVUMmGOt3RpwSElljMkBXgbygHS8OVfLgo0qOYwxE/Curw8FInhN5d14tyNnAH8G7rPWRgIKsdt1koPngMeAY0AjXg4OBhVjdzPGzMa73LGjzelv4H24ulIHHeXgx3iXB3t8HSRGJn6EN5E7E2+qxEbgRdypgY5y0AgsxIEaaM8YUwF8DCzHxzpwprkSERERSQZXLguKiIiIJIWaKxEREREfqbkSERER8ZGaKxEREREfqbkSERER8ZGaKxEREREfqbkSERER8dH/A6/VMjpwL6mqAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 720x504 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7wXzlJjkGaMk"
      },
      "source": [
        "### 3.4 - MF and ASVI for Brownian Bridge"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119,
          "referenced_widgets": [
            "f3acd73e21424da69dd1924f087e7aba",
            "5993faa197814a1bbcc7c541b4bd34c9",
            "13f22c52abc340d9aba15067bd668d7a",
            "6a47df2d70304c5db641d39fa286f023",
            "1f075e24c21d45aeafeea17230979c27",
            "0b0eed9295db4122b6754b0c6fc50ed9",
            "38d50dacc7b64b8da78e28cda8d40db4",
            "c230044d468346e4bcc8192555fc70c7"
          ]
        },
        "id": "OU2JMHCpMjUI",
        "outputId": "6f796b59-305c-4277-a83c-1de91349d404"
      },
      "source": [
        "mf_bridge = train_model(MeanFeald(T=T, bridge_t=10), bridge_data)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:5: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
            "  \"\"\"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f3acd73e21424da69dd1924f087e7aba",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=20000.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153,
          "referenced_widgets": [
            "f00b11c83aaf40eebd7f407be3d13e47",
            "ec87ef3bf76341899988eea46e0ea186",
            "895fb858757f44e4bc848376b1dc1a8a",
            "d7403d6bb25143559735bd89820b2db7",
            "1d691a04dc9744b8aa3ba2d49b9cdda7",
            "d0f8e729fbbb4d598fb92515b2a898d8",
            "22b0b12ff9414d6d863520b4c38faa2e",
            "bf14508d51fa41c4b2a2f557c8e33489"
          ]
        },
        "id": "AhAK0W7UNcdx",
        "outputId": "801bb49a-e159-4aae-f32a-9681952e8d5d"
      },
      "source": [
        "asvi_bridge = train_model(ASVI(T=T, bridge_t=10), bridge_data)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:12: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
            "  if sys.path[0] == '':\n",
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:13: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
            "  del sys.path[0]\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f00b11c83aaf40eebd7f407be3d13e47",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=20000.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 443
        },
        "id": "KuSsa8IXMysj",
        "outputId": "66d6042b-845b-419f-b9af-3d5493e1eb1e"
      },
      "source": [
        "fig = plt.figure(figsize=(10,7))\n",
        "\n",
        "plt.subplot(2, 1, 1)\n",
        "plot_results(mf_bridge, bridge_data, bm.x, 'MF', bridge=10)\n",
        "\n",
        "plt.subplot(2, 1, 2)\n",
        "plot_results(asvi_bridge, bridge_data, bm.x, 'ASVI', bridge=10)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HfCM5KCjCwrU"
      },
      "source": [
        "**NOTE**: the blue shaded area is the standard deviation of the approximate posterior distribution. The thinner lines are samples from the approximate posterior distribution. The same is for the plots above, in section 3.3."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0YXDugOd7Qnn"
      },
      "source": [
        "## 4 - Conclusions\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vejvQF3T7Zmx"
      },
      "source": [
        "In this notebook, we have seen how to implement both Mean Field variational inference and Automatic Structured Variational Inference. From the results, it is possible to see how MF underestimates the variance of the posterior distribution, which is a known issue. ASVI can easily overcome this with a simple modification to the approximate posterior, by using the convex-update variational family.\n",
        "\n",
        "The Brownian motion used as example is a simple toy problem which allowed us to focus mostly on the algorithms. However, ASVI is applicable to a wide range of problems, and you can find more details in the paper.\n",
        "\n",
        "Finally, as the name suggests, ASVI allows to authomatically create structured variational families without adding complexity or requiring any modification, and you only need to define likelihood and prior distributions. In addition, the [official implementation](https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/vi/build_asvi_surrogate_posterior) in TensorFlow Probability makes ASVI ready to be used in industrial applications and easily integrated in production-ready code."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6afB4M50MNjd"
      },
      "source": [
        "## References"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8KxP-4i3MFN5"
      },
      "source": [
        "<a name=\"asvi\">[1] Ambrogioni, Luca, Max Hinne, and Marcel van Gerven. \"Automatic structured variational inference.\" arXiv preprint arXiv:2002.00643 (2020).</a>\n",
        "\n",
        "<a name=\"advi\">[2] Kucukelbir, Alp, et al. \"Automatic differentiation variational inference.\" The Journal of Machine Learning Research 18.1 (2017): 430-474.</a>\n",
        "\n",
        "<a name=\"cvi\">[3] Tran, Dustin, David M. Blei, and Edoardo M. Airoldi. \"Copula variational inference.\" arXiv preprint arXiv:1506.03159 (2015).</a>\n",
        "\n",
        "<a name=\"ssvi\">[4] Hoffman, Matthew, and David Blei. \"Stochastic structured variational inference.\" Artificial Intelligence and Statistics. PMLR, 2015.\n",
        "</a>\n",
        "\n",
        "<a name=\"hvi\">[5] Ranganath, Rajesh, Dustin Tran, and David Blei. \"Hierarchical variational models.\" International Conference on Machine Learning. PMLR, 2016.\n",
        "\n",
        "</a>"
      ]
    }
  ]
}