XavierComparason5.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "## Python Notebook to compare Xavier Initialisation to Constant Variance Initialisation\n",
    "\n",
    "This notebook presents a comparison of Xavier initialisation to Constant Variance initialisation, focusing on S-shaped activation functions including Tanh, Sigmoid and Softsign."
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:08:47.707921300Z",
     "start_time": "2024-02-28T16:08:47.705400Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\rmen2\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import torchvision.datasets\n",
    "\n",
    "from torch import nn\n",
    "\n",
    "\n",
    "import torchvision\n",
    "\n",
    "from torchvision.transforms import ToTensor, Lambda, Compose, Normalize\n",
    "from PIL import Image, ImageDraw, ImageFont\n",
    "\n",
    "from torch.utils.data import Dataset\n",
    "from torchvision import datasets\n",
    "from torchvision.transforms import ToTensor\n",
    "from torch.utils.data import DataLoader\n",
    "\n",
    "import platform"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:08:55.085734200Z",
     "start_time": "2024-02-28T16:08:47.707921300Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:08:55.097737100Z",
     "start_time": "2024-02-28T16:08:55.091734700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "def XavierInitialisation(network):\n",
    "    \"\"\" Perform Xavier Initialisation on a Neural Network \"\"\"\n",
    "    for p in network.modules():\n",
    "        if p.__class__.__name__ == \"Linear\" or p.__class__.__name__ == \"Conv2d\":\n",
    "            with torch.no_grad():\n",
    "                nn.init.xavier_uniform_(p.weight)\n",
    "\n",
    "# All the coefficients for maintaining a constant variance propagation\n",
    "normalising_coeff_dict = {\n",
    "    #nn.Sigmoid: 1.92,\n",
    "    nn.Tanh: 1.58,\n",
    "    nn.ReLU: 1.41,\n",
    "    #nn.Softsign: 2.317374,\n",
    "    #nn.ELU: 1.242043\n",
    "}\n",
    "\n",
    "normalising_coeff_arr = normalising_coeff_dict.values()\n",
    "\n",
    "\n",
    "activation_functions = [\n",
    "    nn.ReLU,\n",
    "    nn.Tanh,\n",
    "    nn.Sigmoid,\n",
    "    nn.SELU,\n",
    "    nn.GELU\n",
    "]\n",
    "\n",
    "def ConstVarInitialisation(network, normalising_coefficient=None, normal=True):\n",
    "    \"\"\" Perform Constant Variance Initialisation on a Neural Network \"\"\"\n",
    "    net_modules = list(network.modules())\n",
    "    for i, p in enumerate(network.modules()):\n",
    "        if p.__class__.__name__ == \"Linear\" or p.__class__.__name__ == \"Conv2d\" and normalising_coefficient is not None:\n",
    "            with torch.no_grad():\n",
    "                receptive_field_size = 1\n",
    "                if p.weight.dim() > 2:\n",
    "                    for s in p.weight.shape[2:]:\n",
    "                        receptive_field_size *= s\n",
    "                if normalising_coefficient is None:\n",
    "                    # Get what the coefficient should be by looking at the applied activation before this layer\n",
    "                    normalising_coefficient = normalising_coeff_dict[net_modules[i - 1].__class__]\n",
    "                if normal:\n",
    "                    p.weight.normal_(0, normalising_coefficient / np.sqrt(p.weight.shape[1]*receptive_field_size))\n",
    "                else:\n",
    "                    p.weight.uniform_(\n",
    "                        -normalising_coefficient / np.sqrt(p.weight.shape[1]*receptive_field_size),\n",
    "                        normalising_coefficient / np.sqrt(p.weight.shape[1]*receptive_field_size)\n",
    "                    )\n",
    "                # Fill bias with zeros\n",
    "                p.bias.zero_()\n",
    "\n",
    "def test_backpropagation(neural_network, data_loader, loss_fn):\n",
    "    \"\"\" Get the backpropagation distributions from running a number of inputs to the network \"\"\"\n",
    "    handles = []\n",
    "    layerID = 0\n",
    "    backpropagation_values = {}\n",
    "    # Set hooks\n",
    "    def set_backward_hooks(name):\n",
    "        def hook(model, input, output):\n",
    "            backpropagation_values[name].append(output[0].detach())\n",
    "        return hook\n",
    "\n",
    "    # Initialise hook storage holders\n",
    "    for m in neural_network.modules():\n",
    "        #print(m.__class__.__name__)\n",
    "        if m.__class__.__name__ == \"Linear\" or m.__class__.__name__ == \"Conv2d\":\n",
    "            handles.append(m.register_full_backward_hook(set_backward_hooks(layerID)))\n",
    "            backpropagation_values[layerID] = []\n",
    "            layerID+=1\n",
    "\n",
    "    # Run a few inputs through the network and measure backpropagation with hooks\n",
    "    for batch, (X, y) in enumerate(data_loader):\n",
    "        pred = neural_network(X)\n",
    "        loss = loss_fn(pred, y)\n",
    "\n",
    "        loss.backward()\n",
    "        if batch > 20:\n",
    "            break\n",
    "\n",
    "    # Remove hooks\n",
    "    for h in handles:\n",
    "        h.remove()\n",
    "\n",
    "    return backpropagation_values\n",
    "\n",
    "\n",
    "\n",
    "def test_backpropagation_scaled(neural_network, data_loader, loss_fn):\n",
    "    \"\"\" Get the backpropagation distributions from running a number of inputs to the network \"\"\"\n",
    "    handles = []\n",
    "    layerID = 0\n",
    "    backpropagation_values = {}\n",
    "    # Set hooks\n",
    "    def set_backward_hooks(name):\n",
    "        def hook(model, input, output):\n",
    "            backpropagation_values[name].append(output[0].detach())\n",
    "        return hook\n",
    "\n",
    "    # Initialise hook storage holders\n",
    "    for m in neural_network.modules():\n",
    "        if m.__class__.__name__ == \"Linear\":\n",
    "            handles.append(m.register_full_backward_hook(set_backward_hooks(layerID)))\n",
    "            backpropagation_values[layerID] = []\n",
    "            layerID+=1\n",
    "\n",
    "    # Run a few inputs through the network and measure backpropagation with hooks\n",
    "    for batch, (X, y) in enumerate(data_loader):\n",
    "        # Compute how to scale the backpropagation to ensure it is constant variance the backpropagation which ensures\n",
    "        pred = neural_network(X)\n",
    "        loss = loss_fn(pred, y)\n",
    "\n",
    "        loss.backward()\n",
    "\n",
    "        # Get the variance of the gradient of the 2nd last module (layer before output layer), then mimic that over all layers\n",
    "        print(neural_network.modules())\n",
    "        propagated_var = np.var(neural_network.modules()[-2].grad)\n",
    "        backpropagation_values.append(neural_network.modules()[0])\n",
    "        for i, m in enumerate(neural_network.modules()[1:]):\n",
    "            m.grad *= propagated_var/m.grad\n",
    "            backpropagation_values.append(m.grad)\n",
    "\n",
    "        if batch > 20:\n",
    "            break\n",
    "\n",
    "    # Remove hooks\n",
    "    for h in handles:\n",
    "        h.remove()\n",
    "\n",
    "    return backpropagation_values\n",
    "\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:08:55.167156900Z",
     "start_time": "2024-02-28T16:08:55.103812200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "def test_forward_propagation(neural_network, data, loss_fn):\n",
    "    # Handles for the layer hooks\n",
    "    handles = []\n",
    "\n",
    "    # Register a forward hook to get the value of each layer\n",
    "    layer_intermediate_values = {}\n",
    "    def set_forward_hooks(name):\n",
    "        def hook(model, input, output):\n",
    "            layer_intermediate_values[name] = output.detach()\n",
    "        return hook\n",
    "\n",
    "    layerID = 0\n",
    "    for m in neural_network.modules():\n",
    "        if m.__class__.__name__ == \"Linear\" or m.__class__.__name__ == \"Conv2d\":\n",
    "            handles.append(m.register_forward_hook(set_forward_hooks(layerID)))\n",
    "            layerID += 1\n",
    "\n",
    "    # Need to run network to get intermediate values\n",
    "    _out = neural_network(torch.stack([data[d][0] for d in range(1000)]))\n",
    "\n",
    "    # Remove all handles\n",
    "    for h in handles:\n",
    "        h.remove()\n",
    "\n",
    "    del handles\n",
    "    del _out\n",
    "\n",
    "    # Return the intermediate values in the layers\n",
    "    return layer_intermediate_values"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:08:55.167156900Z",
     "start_time": "2024-02-28T16:08:55.135510Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:08:55.193548300Z",
     "start_time": "2024-02-28T16:08:55.146486Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "\n",
    "activation_function = nn.Tanh()\n",
    "\n",
    "class BasicBlock(nn.Module):\n",
    "    expansion = 1\n",
    "\n",
    "    def __init__(self, in_planes, planes, stride=1):\n",
    "        super(BasicBlock, self).__init__()\n",
    "        self.conv1 = nn.Conv2d(\n",
    "            in_planes, planes, kernel_size=3, stride=stride, padding=1, bias=False)\n",
    "        self.bn1 = nn.BatchNorm2d(planes)\n",
    "        self.conv2 = nn.Conv2d(planes, planes, kernel_size=3,\n",
    "                               stride=1, padding=1, bias=False)\n",
    "        self.bn2 = nn.BatchNorm2d(planes)\n",
    "\n",
    "        self.shortcut = nn.Sequential()\n",
    "        if stride != 1 or in_planes != self.expansion*planes:\n",
    "            self.shortcut = nn.Sequential(\n",
    "                nn.Conv2d(in_planes, self.expansion*planes,\n",
    "                          kernel_size=1, stride=stride, bias=False),\n",
    "                nn.BatchNorm2d(self.expansion*planes)\n",
    "            )\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = activation_function(self.bn1(self.conv1(x)))\n",
    "        out = self.bn2(self.conv2(out))\n",
    "        out += self.shortcut(x)\n",
    "        out = activation_function(out)\n",
    "        return out\n",
    "\n",
    "\n",
    "class Bottleneck(nn.Module):\n",
    "    expansion = 4\n",
    "\n",
    "    def __init__(self, in_planes, planes, stride=1):\n",
    "        super(Bottleneck, self).__init__()\n",
    "        self.conv1 = nn.Conv2d(in_planes, planes, kernel_size=1, bias=False)\n",
    "        self.bn1 = nn.BatchNorm2d(planes)\n",
    "        self.conv2 = nn.Conv2d(planes, planes, kernel_size=3,\n",
    "                               stride=stride, padding=1, bias=False)\n",
    "        self.bn2 = nn.BatchNorm2d(planes)\n",
    "        self.conv3 = nn.Conv2d(planes, self.expansion *\n",
    "                               planes, kernel_size=1, bias=False)\n",
    "        self.bn3 = nn.BatchNorm2d(self.expansion*planes)\n",
    "\n",
    "        self.shortcut = nn.Sequential()\n",
    "        if stride != 1 or in_planes != self.expansion*planes:\n",
    "            self.shortcut = nn.Sequential(\n",
    "                nn.Conv2d(in_planes, self.expansion*planes,\n",
    "                          kernel_size=1, stride=stride, bias=False),\n",
    "                nn.BatchNorm2d(self.expansion*planes)\n",
    "            )\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = activation_function(self.bn1(self.conv1(x)))\n",
    "        out = activation_function(self.bn2(self.conv2(out)))\n",
    "        out = self.bn3(self.conv3(out))\n",
    "        out += self.shortcut(x)\n",
    "        out = activation_function(out)\n",
    "        return out\n",
    "\n",
    "\n",
    "class ResNet(nn.Module):\n",
    "    def __init__(self, block, num_blocks, num_classes=10):\n",
    "        super(ResNet, self).__init__()\n",
    "        self.in_planes = 64\n",
    "\n",
    "        self.conv1 = nn.Conv2d(3, 64, kernel_size=3,\n",
    "                               stride=1, padding=1, bias=False)\n",
    "        self.bn1 = nn.BatchNorm2d(64)\n",
    "        self.layer1 = self._make_layer(block, 64, num_blocks[0], stride=1)\n",
    "        self.layer2 = self._make_layer(block, 128, num_blocks[1], stride=2)\n",
    "        self.layer3 = self._make_layer(block, 256, num_blocks[2], stride=2)\n",
    "        self.layer4 = self._make_layer(block, 512, num_blocks[3], stride=2)\n",
    "        self.linear = nn.Linear(512*block.expansion, num_classes)\n",
    "\n",
    "    def _make_layer(self, block, planes, num_blocks, stride):\n",
    "        strides = [stride] + [1]*(num_blocks-1)\n",
    "        layers = []\n",
    "        for stride in strides:\n",
    "            layers.append(block(self.in_planes, planes, stride))\n",
    "            self.in_planes = planes * block.expansion\n",
    "        return nn.Sequential(*layers)\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = activation_function(self.bn1(self.conv1(x)))\n",
    "        out = self.layer1(out)\n",
    "        out = self.layer2(out)\n",
    "        out = self.layer3(out)\n",
    "        out = self.layer4(out)\n",
    "        out = F.avg_pool2d(out, 4)\n",
    "        out = out.view(out.size(0), -1)\n",
    "        out = self.linear(out)\n",
    "        return out\n",
    "\n",
    "\n",
    "def ResNet18():\n",
    "    return ResNet(BasicBlock, [2, 2, 2, 2])\n",
    "\n",
    "\n",
    "def ResNet34():\n",
    "    return ResNet(BasicBlock, [3, 4, 6, 3])\n",
    "\n",
    "\n",
    "def ResNet50():\n",
    "    return ResNet(Bottleneck, [3, 4, 6, 3])\n",
    "\n",
    "\n",
    "def ResNet101():\n",
    "    return ResNet(Bottleneck, [3, 4, 23, 3])\n",
    "\n",
    "\n",
    "def ResNet152():\n",
    "    return ResNet(Bottleneck, [3, 8, 36, 3])\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:08:55.198563800Z",
     "start_time": "2024-02-28T16:08:55.167156900Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:08:55.198563800Z",
     "start_time": "2024-02-28T16:08:55.188698100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [],
   "source": [
    "\n",
    "class NNFashionMNISTBackpropTest(nn.Module):\n",
    "    \"\"\" Neural network for use with the FashionMNIST dataset \"\"\"\n",
    "    def __init__(self, activation_function):\n",
    "        super(NNFashionMNISTBackpropTest, self).__init__()\n",
    "        # Use standard Neural Network architecture, this is not a study\n",
    "        # of the best architecture to use for this dataset.\n",
    "        self.module_stack = nn.Sequential(\n",
    "            nn.Flatten(),\n",
    "            nn.Linear(28*28, 1024),\n",
    "            activation_function(),\n",
    "            nn.Linear(1024, 1024),\n",
    "            activation_function(),\n",
    "            nn.Linear(1024, 512),\n",
    "            activation_function(),\n",
    "            nn.Linear(512, 512),\n",
    "            activation_function(),\n",
    "            nn.Linear(512, 512),\n",
    "            activation_function(),\n",
    "            nn.Linear(512, 512),\n",
    "            activation_function(),\n",
    "            nn.Linear(512, 256),\n",
    "            activation_function(),\n",
    "            nn.Linear(256, 256),\n",
    "            activation_function(),\n",
    "            nn.Linear(256, 256),\n",
    "            activation_function(),\n",
    "            nn.Linear(256, 10),\n",
    "            nn.Softmax(dim=1)\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        return self.module_stack(x)\n",
    "\n",
    "class NNFashionMNIST(nn.Module):\n",
    "    \"\"\" Neural network for use with the FashionMNIST dataset \"\"\"\n",
    "    def __init__(self, activation_function):\n",
    "        super(NNFashionMNIST, self).__init__()\n",
    "        # Use standard Neural Network architecture, this is not a study\n",
    "        # of the best architecture to use for this dataset.\n",
    "        self.module_stack = nn.Sequential(\n",
    "            nn.Linear(28*28, 100),\n",
    "            activation_function(),\n",
    "            nn.Linear(100, 32),\n",
    "            activation_function(),\n",
    "            nn.Linear(32, 28),\n",
    "            activation_function(),\n",
    "            nn.Linear(28, 10),\n",
    "            nn.Softmax(dim=0)\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        return self.module_stack(x)\n",
    "\n",
    "\n",
    "def NNLayerTest(num_layers):\n",
    "    layers = []\n",
    "    layers.append(nn.Flatten())\n",
    "    layers.append(nn.Linear(28*28, 1024))\n",
    "    for _ in range(num_layers):\n",
    "        layers.append(nn.Linear(1024, 1024))\n",
    "        layers.append(torch.nn.ReLU)\n",
    "\n",
    "    layers.append(nn.Linear(1024, 10))\n",
    "\n",
    "    class NNFashionMNISTBackpropTestLayers(nn.Module):\n",
    "        \"\"\" Neural network for use with the FashionMNIST dataset, can set a different number of layers in init \"\"\"\n",
    "        def __init__(self, activation_function, num_layers=10):\n",
    "            super(NNFashionMNISTBackpropTestLayers, self).__init__()\n",
    "            for i in range(len(layers)):\n",
    "                if layers[i] is torch.nn.ReLU:\n",
    "                    layers[i] = activation_function()\n",
    "            self.module_stack = nn.Sequential(*layers)\n",
    "\n",
    "        def forward(self, x):\n",
    "            return self.module_stack(x)\n",
    "\n",
    "        def forward_get_forward_prop(self, x):\n",
    "            forward_prop_values = []\n",
    "            for m in self.module_stack:\n",
    "                if m.__class__.__name__ == \"Linear\" or m.__class__.__name__ == \"Conv2d\":\n",
    "                    forward_prop_values.append(x)\n",
    "                x = m(x)\n",
    "            forward_prop_values.append(x)\n",
    "            return x, forward_prop_values\n",
    "\n",
    "    return NNFashionMNISTBackpropTestLayers\n",
    "\n",
    "\n",
    "class TestRunner:\n",
    "    def __init__(self, model = None, optimiser = None, loss_fn = None, learning_rate = 0.001, dataloader = None):\n",
    "        self.model_to_initialise = model\n",
    "        self.models = {}\n",
    "        self.optimisers = {}\n",
    "        self.optimiser: torch.optim.Optimizer = model\n",
    "        self.loss_fn: torch.nn.Module = loss_fn\n",
    "        self.learning_rate = learning_rate\n",
    "        self.dataloader = dataloader\n",
    "\n",
    "    def run_training_loop(self):\n",
    "        for batch, (X, y) in self.dataloader:\n",
    "            loss =  self.loss_fn(self.model(X), y)\n",
    "            self.optimiser.zero_grad()\n",
    "            loss.backwards()\n",
    "            self.optimiser.step()\n",
    "\n",
    "    def run(self, epochs = 10, loss_arr = [], print_every = 50, store_loss_every = 2):\n",
    "        \"\"\" Run a set number of epochs for each activation function \"\"\"\n",
    "        for act in normalising_coeff_dict.keys():\n",
    "            print(\"Using activation function: \" + str(act))\n",
    "            if act not in self.models:\n",
    "               self.models[act] =  self.model_to_initialise(act)\n",
    "               self.optimisers[act] = torch.optim.SGD(self.models[act].parameters(), lr=self.learning_rate, momentum=0.9)\n",
    "            model = self.models[act]\n",
    "            optimiser = self.optimisers[act]\n",
    "            loss_arr.append([])\n",
    "            for i in range(epochs):\n",
    "                print(\"=================================\")\n",
    "                print(\"Epoch: \" + str(i))\n",
    "                print(\"=================================\")\n",
    "                for batch, (X, y) in enumerate(self.dataloader):\n",
    "                    loss =  self.loss_fn(model(X), y)\n",
    "                    optimiser.zero_grad()\n",
    "                    loss.backward()\n",
    "                    optimiser.step()\n",
    "\n",
    "                    # Print\n",
    "                    if batch % print_every:\n",
    "                        print(\"\\rloss: \" + str(loss.item()) + \"             \", end=\"\")\n",
    "                    if batch % store_loss_every:\n",
    "                        loss_arr[-1].append(loss.item())\n",
    "\n",
    "        return loss_arr\n",
    "\n",
    "    def run_backprop_scaled(self, epochs = 10, loss_arr = [], print_every = 50, store_loss_every = 2, decay_rate = 0.99):\n",
    "        \"\"\" Scale the backpropagation when running, where the scale is decayed over time by `decay_rate` \"\"\"\n",
    "        for act in normalising_coeff_dict.keys():\n",
    "            print(\"Using activation function: \" + str(act))\n",
    "            if act not in self.models:\n",
    "                self.models[act] =  self.model_to_initialise(act)\n",
    "                self.optimisers[act] = torch.optim.SGD(self.models[act].parameters(), lr=0.01)\n",
    "            model = self.models[act]\n",
    "            optimiser = self.optimisers[act]\n",
    "            grad_scaling_factor = 1.0\n",
    "            loss_arr.append([])\n",
    "            for i in range(epochs):\n",
    "                for batch, (X, y) in enumerate(self.dataloader):\n",
    "                    loss =  self.loss_fn(model(X), y)\n",
    "                    optimiser.zero_grad()\n",
    "                    loss.backward()\n",
    "\n",
    "                    # Set the scale to the std of the final layer before the output layer,\n",
    "                    # This means all layers train at the same rate at the start\n",
    "                    initial_std = torch.std(model.modules()[-2].grad).item()\n",
    "                    for i, m in enumerate(model.modules()):\n",
    "                        m.grad *= grad_scaling_factor * initial_std/torch.std(m.grad).item()\n",
    "                    optimiser.step()\n",
    "\n",
    "                    # Print\n",
    "                    if batch % print_every:\n",
    "                        print(\"loss: \" + str(loss.item()))\n",
    "                    if batch % store_loss_every:\n",
    "                        loss_arr[-1].append(loss.item())\n",
    "                grad_scaling_factor *= decay_rate\n",
    "\n",
    "        return loss_arr\n",
    "\n",
    "\n",
    "class Comparator:\n",
    "    \"\"\"\n",
    "    Holder for the different trained networks and properties of training.\n",
    "\n",
    "    To use, call load_xxx to load the dataset, then run_xxx to run the test for the dataset.\n",
    "    \"\"\"\n",
    "    def __init__(self):\n",
    "        # Create initial networks\n",
    "        self.xavier_networks = {}\n",
    "        self.const_variance_networks = {}\n",
    "\n",
    "    def load_fashionMNIST(self):\n",
    "        \"\"\"\n",
    "        Load in the fashionMNIST dataset\n",
    "        :return: None\n",
    "        \"\"\"\n",
    "        self.fashionMNIST_dataset = datasets.FashionMNIST(\n",
    "            root=\"./datasets\",\n",
    "            train=True,\n",
    "            download=True,\n",
    "            transform=Compose([\n",
    "                ToTensor(),\n",
    "                Lambda(lambda x: Normalize(torch.mean(x), torch.std(x), inplace=False)(x))\n",
    "            ])\n",
    "        )\n",
    "\n",
    "        self.fashionMNIST_dataset_loader = DataLoader(self.fashionMNIST_dataset, batch_size=16, shuffle=True)\n",
    "\n",
    "        const_var_fashionMNIST = NNFashionMNIST\n",
    "\n",
    "        self.const_variance_networks[\"fashionMNIST\"] = {}\n",
    "        self.const_variance_networks[\"fashionMNIST\"][\"runner\"] = TestRunner(\n",
    "            const_var_fashionMNIST,\n",
    "            torch.optim.SGD,\n",
    "            torch.nn.CrossEntropyLoss(),\n",
    "            0.001,\n",
    "            self.fashionMNIST_dataset_loader\n",
    "        )\n",
    "\n",
    "        xavier_fashionMNIST = NNFashionMNIST\n",
    "\n",
    "        self.xavier_networks[\"fashionMNIST\"] = {}\n",
    "        self.xavier_networks[\"fashionMNIST\"][\"runner\"] = TestRunner(\n",
    "            xavier_fashionMNIST,\n",
    "            torch.optim.SGD,\n",
    "            torch.nn.CrossEntropyLoss(),\n",
    "            0.01,\n",
    "            self.fashionMNIST_dataset_loader\n",
    "        )\n",
    "\n",
    "    def run_fashionMNIST(self):\n",
    "        \"\"\"\n",
    "        Run the fashionMNIST dataset for both constant variance and xavier,\n",
    "        for different activation functions\n",
    "        :return: None\n",
    "        \"\"\"\n",
    "        self.const_variance_networks[\"fashionMNIST\"][\"losses\"] = self.const_variance_networks[\"fashionMNIST\"][\"runner\"].run(20)\n",
    "        self.xavier_networks[\"fashionMNIST\"][\"losses\"] = self.xavier_networks[\"fashionMNIST\"][\"runner\"].run(20)\n",
    "\n",
    "    def run_fashionMNIST_backprop_test(self, activation=torch.nn.Tanh, initialisation=XavierInitialisation):\n",
    "        \"\"\"\n",
    "        Get the backpropagation when running the fashionMNIST dataset\n",
    "        Illustrates the vanishing gradient problem and how backpropagation scaling can solve it\n",
    "        \"\"\"\n",
    "        #if \"backprop_test_runner\" not in self.const_variance_networks[\"fashionMNIST\"]:\n",
    "        self.const_variance_networks[\"fashionMNIST\"][\"backprop_test_runner\"] = TestRunner(\n",
    "            NNFashionMNISTBackpropTest,\n",
    "            torch.optim.SGD,\n",
    "            torch.nn.CrossEntropyLoss(),\n",
    "            0.01,\n",
    "            self.fashionMNIST_dataset_loader\n",
    "        )\n",
    "        self.const_variance_networks[\"fashionMNIST\"][\"backprop_test_runner\"].run(0)\n",
    "\n",
    "        initialisation(self.const_variance_networks[\"fashionMNIST\"][\"backprop_test_runner\"].models[activation])\n",
    "        backprop_unscaled = test_backpropagation(\n",
    "            self.const_variance_networks[\"fashionMNIST\"][\"backprop_test_runner\"].models[activation],\n",
    "            self.fashionMNIST_dataset_loader,\n",
    "            torch.nn.CrossEntropyLoss()\n",
    "        )\n",
    "\n",
    "        return backprop_unscaled\n",
    "\n",
    "    def run_fashionMNIST_backprop_test_layers(self, activation=torch.nn.Tanh, initialisation=XavierInitialisation, num_layers=30):\n",
    "        \"\"\"\n",
    "        Get the backpropagation when running the fashionMNIST dataset\n",
    "        Illustrates the vanishing gradient problem and how backpropagation scaling can solve it\n",
    "        \"\"\"\n",
    "        #if \"backprop_test_runner\" not in self.const_variance_networks[\"fashionMNIST\"]:\n",
    "        self.const_variance_networks[\"fashionMNIST\"][\"backprop_test_runner\"] = TestRunner(\n",
    "            NNLayerTest(num_layers),\n",
    "            torch.optim.SGD,\n",
    "            torch.nn.CrossEntropyLoss(),\n",
    "            0.01,\n",
    "            self.fashionMNIST_dataset_loader\n",
    "        )\n",
    "        self.const_variance_networks[\"fashionMNIST\"][\"backprop_test_runner\"].run(0)\n",
    "\n",
    "        initialisation(self.const_variance_networks[\"fashionMNIST\"][\"backprop_test_runner\"].models[activation])\n",
    "        backprop_unscaled = test_backpropagation(\n",
    "            self.const_variance_networks[\"fashionMNIST\"][\"backprop_test_runner\"].models[activation],\n",
    "            self.fashionMNIST_dataset_loader,\n",
    "            torch.nn.CrossEntropyLoss()\n",
    "        )\n",
    "\n",
    "        return backprop_unscaled\n",
    "\n",
    "    def run_fashionMNIST_forward_prop_test_layers(self, activation=torch.nn.Tanh, initialisation=XavierInitialisation, num_layers=30):\n",
    "            \"\"\"\n",
    "            Get the forward propagation when running the fashionMNIST dataset\n",
    "            Illustrates the vanishing gradient problem and how backpropagation scaling can solve it\n",
    "            \"\"\"\n",
    "            #if \"backprop_test_runner\" not in self.const_variance_networks[\"fashionMNIST\"]:\n",
    "            self.const_variance_networks[\"fashionMNIST\"][\"backprop_test_runner\"] = TestRunner(\n",
    "                NNLayerTest(num_layers),\n",
    "                torch.optim.SGD,\n",
    "                torch.nn.CrossEntropyLoss(),\n",
    "                0.01,\n",
    "                self.fashionMNIST_dataset_loader\n",
    "            )\n",
    "            self.const_variance_networks[\"fashionMNIST\"][\"backprop_test_runner\"].run(0)\n",
    "\n",
    "            initialisation(self.const_variance_networks[\"fashionMNIST\"][\"backprop_test_runner\"].models[activation])\n",
    "            forward_prop_unscaled = test_forward_propagation(\n",
    "                self.const_variance_networks[\"fashionMNIST\"][\"backprop_test_runner\"].models[activation],\n",
    "                self.fashionMNIST_dataset,\n",
    "                torch.nn.CrossEntropyLoss()\n",
    "            )\n",
    "\n",
    "            return forward_prop_unscaled\n",
    "\n",
    "\n",
    "    def display_fashionMNIST(self, grid_sizeX = 6, grid_sizeY = 6, figsize=(11.7, 12)):\n",
    "        training_data_fashionMNIST_show = datasets.FashionMNIST(\n",
    "            root=\"./datasets\",\n",
    "            train=True,\n",
    "            download=True,\n",
    "        )\n",
    "\n",
    "        fig, axes = plt.subplots(grid_sizeX, grid_sizeY, figsize=figsize, gridspec_kw={\"wspace\":0, \"hspace\":0})\n",
    "\n",
    "        for (a, img) in zip(axes.flatten(), training_data_fashionMNIST_show):\n",
    "            if platform.system() == \"Windows\":\n",
    "                fnt = ImageFont.truetype(\"C:\\Windows\\Fonts\\Arial.ttf\", 40)\n",
    "            img_to_draw = img[0].convert(\"RGBA\").resize((img[0].width*4, img[0].height*4), Image.BOX)\n",
    "            draw = ImageDraw.Draw(img_to_draw)\n",
    "            draw.text((img_to_draw.size[0]-25, -2), str(img[1]), fill=(255, 70, 70, 180), font=fnt, stroke_width=1)\n",
    "            a.imshow(img_to_draw, cmap=\"gray\")\n",
    "            a.set_axis_off()\n",
    "\n",
    "        del training_data_fashionMNIST_show\n",
    "        return fig\n",
    "\n",
    "    def plot_results_fashionMNIST(self):\n",
    "        \"\"\" Plot the results of running Fashion MNIST \"\"\"\n",
    "        ncols = 2\n",
    "        nrows = int(len(self.const_variance_networks[\"fashionMNIST\"])/2) + len(self.const_variance_networks[\"fashionMNIST\"]) % 2\n",
    "        fig, axes = plt.subplots(nrows=nrows, ncols=ncols)\n",
    "\n",
    "        cur_act_num = 0\n",
    "        for a in axes:\n",
    "            for ax in a:\n",
    "                ax.plot(self.const_variance_networks[\"fashionMNIST\"][\"losses\"][cur_act_num])\n",
    "                ax.plot(self.xavier_networks[\"fashionMNIST\"][\"losses\"][cur_act_num])\n",
    "                ax.title(normalising_coeff_arr[cur_act_num])\n",
    "                cur_act_num += 1\n",
    "\n",
    "    def load_CIFAR10(self):\n",
    "        \"\"\" Load the CIFAR 10 dataset \"\"\"\n",
    "        self.cifar10_dataset = datasets.CIFAR10(\n",
    "            root=\"./datasets\",\n",
    "            train=True,\n",
    "            download=True,\n",
    "            transform=Compose([\n",
    "                ToTensor(),\n",
    "                lambda x: torchvision.transforms.Normalize(torch.mean(x), torch.std(x), inplace=True)(x)\n",
    "            ])\n",
    "        )\n",
    "        self.cifar10_dataset_loader = DataLoader(self.cifar10_dataset, batch_size=64, shuffle=True)\n",
    "\n",
    "    def display_CIFAR10(self, grid_sizeX = 6, grid_sizeY = 6, figsize = (11.7, 12)):\n",
    "\n",
    "        torch.random.manual_seed(15)\n",
    "\n",
    "        CIFAR_dataset = datasets.CIFAR10(\n",
    "            root=\"./datasets\",\n",
    "            train=True,\n",
    "            download=True,\n",
    "        )\n",
    "\n",
    "        training_data_cifar10_show = torch.utils.data.RandomSampler(\n",
    "            CIFAR_dataset,\n",
    "            replacement=True,\n",
    "            num_samples=grid_sizeX*grid_sizeY\n",
    "        )\n",
    "\n",
    "        fig, axes = plt.subplots(grid_sizeX, grid_sizeY, figsize=figsize, gridspec_kw={\"wspace\":0, \"hspace\":0})\n",
    "\n",
    "        print()\n",
    "\n",
    "        for (a, img) in zip(axes.flatten(), training_data_cifar10_show):\n",
    "            img = CIFAR_dataset[img]\n",
    "            if platform.system() == \"Windows\":\n",
    "                fnt = ImageFont.truetype(\"C:\\Windows\\Fonts\\Arial.ttf\", 40)\n",
    "            img_to_draw = img[0].convert(\"RGBA\").resize((img[0].width*4, img[0].height*4), Image.BOX)\n",
    "            draw = ImageDraw.Draw(img_to_draw)\n",
    "            draw.text((img_to_draw.size[0]-25, -2), str(img[1]), fill=(255, 70, 70, 180), font=fnt, stroke_width=1)\n",
    "            a.imshow(img_to_draw, cmap=\"gray\")\n",
    "            a.set_axis_off()\n",
    "\n",
    "        del training_data_cifar10_show\n",
    "        return fig\n",
    "\n",
    "    def run_CIFAR10(self):\n",
    "        \"\"\" Run the CIFAR10 dataset on both Xavier and Constant Variance initialisation \"\"\"\n",
    "        # Run the training loop for the CIFAR dataset\n",
    "        self.const_variance_networks[\"cifar10\"][\"losses\"] = self.const_variance_networks[\"cifar10\"][\"runner\"].run(20)\n",
    "\n",
    "\n",
    "    def test_backprop_CIFAR10(self):\n",
    "        \"\"\" Plot the backpropagation distributions per layer using the CIFAR10 Network/Datasets \"\"\"\n",
    "        test_backpropagation(\n",
    "            self.const_variance_networks[\"cifar10\"][\"runner\"].models[torch.nn.Tanh],\n",
    "            self.cifar10_dataset_loader,\n",
    "            torch.nn.CrossEntropyLoss()\n",
    "        )\n",
    "\n",
    "    def plot_results_cifar10(self):\n",
    "        \"\"\" Plot the results of running CIFAR10 \"\"\"\n",
    "        ncols = 2\n",
    "        nrows = int(len(self.const_variance_networks[\"cifar10\"][\"losses\"])/2) + 1\n",
    "        fig, axes = plt.subplots(nrows=nrows, ncols=ncols)\n",
    "\n",
    "        cur_act_num = 0\n",
    "        for a in axes:\n",
    "            for ax in a:\n",
    "                ax.plot(self.const_variance_networks[\"cifar10\"][\"losses\"][cur_act_num])\n",
    "                ax.plot(self.xavier_networks[\"cifar10\"][\"losses\"][cur_act_num])\n",
    "                ax.title(normalising_coeff_arr[cur_act_num])\n",
    "                cur_act_num += 1"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:08:55.309837900Z",
     "start_time": "2024-02-28T16:08:55.264163300Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [],
   "source": [
    "comparator = Comparator()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:08:55.310839Z",
     "start_time": "2024-02-28T16:08:55.285561700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files already downloaded and verified\n"
     ]
    }
   ],
   "source": [
    "comparator.load_CIFAR10()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:08:56.377377700Z",
     "start_time": "2024-02-28T16:08:55.304826600Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files already downloaded and verified\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 770x660 with 30 Axes>",
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmgAAAIOCAYAAAAMQvEOAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9SaxuS5Yehn0rYnd/d9rbt6/NetlVX5VVZBUl0qRFyoIFaGAI5sADAzZAj+yJJzY8MOC5JzYET0QPBMOiBBukQcMqSqCqSklWk33my3z97bvT/efvdhcRHkTsFWv/55z77n2ZlfVI/atQL/f9z26ijxXrW+tb5Jxz2MhGNrKRjWxkIxvZyJdG1F93ATaykY1sZCMb2chGNtKXjYK2kY1sZCMb2chGNvIlk42CtpGNbGQjG9nIRjbyJZONgraRjWxkIxvZyEY28iWTjYK2kY1sZCMb2chGNvIlk42CtpGNbGQjG9nIRjbyJZONgraRjWxkIxvZyEY28iWTjYK2kY1sZCMb2chGNvIlk42CtpGNbGQjG9nIRjbyJZPkVW/83/0n/zlfaygQkf8Hga/TvECSpAAAn58g3OOs/38ARAp5VnSPYlJk/N6t8ZjfdW13Aq29/lgkQLjEsjRoTEh+QAQi1V0iSfyzrbFYVU0oh4Oxba8uoVR4/OwZrPXlmq+WMOG6LhewpgYArKYHKE8P/fVsiunBU/+NpsHs5IS/0TTxe21r+FtNE69bE6+ttXDiuvd7SO7gnEOX58Ff+3/k4wnfn2UZt9lgMIDW2t+T50gS371ZniMvfJsrpZFlsc27e7pn4u869jEcukultGhzDaVCxziKLSuSU/gym1gHxL+Rit+Qw4XC/wFAkRdIUz+mtNZcv1CAM98DAMXlBpSKY7Wua/Eo8e/y2oj27/4m39WJbMO/9827vd/PmxtN3cR+JgV07yKCCn3QNA1Opye+StaiLkt+783rV2NbuTheTPch/l9RJ9W1T695RLM5OCvqitgOjohvXCwrLntZ1TyO27aBCdd1VWK5mIXfDebLmt+q8xF/Twx17G5NuE2vXd1Fkfs2TTOFJAljDI5r59cRx+1jTTevHRT8i/+j/+U/4vdvjcf8/slwiDTxY0clBKX9W/NMIc/9PZd2xnj39hUAwLDI8O6dq9xeo1HB783HW9xOj16UMKFO/+U//1d4dnACAPjRB4/x9EVoj6qGaXxZ0zTFYDQEAIxHQ7z33jv83iJMPyLgt7464XH89//wtzEI6+Sjp0eoar/W/OAnH+PJsyMAwP1HL/Dg8QEA4GS2wpPnM24ZQ4PwXoXtnd3YPoOc67E9ikPy3/m9d7G/6/vs3Tt7uBKuEyIkKs6TNvRF3VqczHz96sbgR58e8zdu/M3/LV9DjFutNSh8UCkNpXQoI/HvAPXmnBbXJK7lHJfXhP787eaGJcCFx7VZITNTAEBqW1xqVr5+pHG8fT20ITDXQ54P2loek0rMGU0E1a2NALrpB+egwiQkAImOZUpUvFaIMxk27hWwhn931qCb0M6aOB8cwhrsS9x9zznH75qdvs+vXF/jujrIvWg0GmE0Cn2fJCjCHuLncff8X30ion7d1v92/vf7v9O542Bd+vd8/jdeSeTGBr9ndnL3rZuf+/jGgraRjWxkIxvZyEY28iWTV7ag2SZaH1QaLS2aFOuHqQOSoG1aC5ho/mEtlJQFgkVLKYUiHBsJgLYOnUa+mC2i9WGQQwUTmnOIlhZFEAcp2HCUNa3BYrni+6Wyb+oV379arfjEUBuDzqZllYJzwWqTD5GPWn5XUy59meoK5WIRfncwRlg1xLVWiuuuKV6DCIoIA6WRAOj06hYOK2OxaltYRGscEZ2ryUutX56EpLXJn07pzP290+Y5pwfuM4rftdYAwVqhlINz3YlRQZG0bnUfITiSnRTfJU/H8uvyPUprUKgHaQ3S550p+m2QBSsuAFy/do2vp9Mp9/disWDrj2wHX0eLxDnk1oKI0BKhEpY72c4AYMT3S2Ex1Vqztcq4aAtyDnCmaw6Ltqq4TJ989ImoVdf+hJ2dff5mnqf8Xtkf0jrpuy4+L8vbOz2LMxqJUyrphJu1EJbV4WgcTXCI89q2DdrKz63WGMwXwRJhLJ4dnna349nRnMvV2JTfNV3W0MGasL87wXCYh29nbFlTrUVqGsA5WEVwme6VBQB+5+vRmvn0xZSt4s5aBCM3Eoq2ira1bOo4XSzx8NkLAMDWeIhrV7b9d5VCGsrjnMMHH9znlv7Tv/wYVe3Xhz/73gNMT73V83A6wyr0682re7h5ZQ8AsFxWOD6Z+3IowvMD3zaJJrx5fRS+R7h7Y5ctaCoxsPCFv//4MU6m/vkX0xKL1o/1k0rjwC9HmJcKy7az0GquHwE4PvHrFxGghEX/t7/+BorMbwff/JVb2N8dAwCGuYMmB2X8/zvjX0TBauk0ISXC7o63rpSVwaqs+L1WWIKk5RcEUPi3X6MdtzXbz0hY5SHGN8W5Ef8SxqET9mSKlnhy4Gs4YouMoxRNsPDCWazCWHcgwMbtMRNWL02EbrzJ/S9RivvMzzlZ3WhB0yTfFdtErmw9C6H4HhQB1kA1NdDWgGn9nxTBqRQ2ywBSoLAmwAEu7Efvvvsuv9OIvpciLWjr60a8pN6e8MsQZ38e61Z/HF141xexoDkHqmuQCbuAgzdFawWXpoDWcHJdfU2b2CsraC+TXifK38P/yo0Drj/lJBwF56Kp1TmuinUOvfHAk0B8ew1WE7rhuTAh/5vL1jeJ8mgUJndSipWKs4O323zdmY4+776r+QC/s7ePv3P9Ot6abGM793DDaVXh49MT/MvHT/AnL57hgVACL1KmzoPq+r+fX4bz3iXb5qK/xXuAC2+RG6foo5e1zbm/08X1uEjkPV5JOgf+uKCtwifxm7MpfrssoQA8VRr/5eUrkKeBi0zmL2+3MEZ698fxaW0fHu/QDyLy8+EVzPRR+uNcjs+LbndwvImJc1C/rZQSm4dQ3OFANuX70wDbEhkut0N//hkXv9e0BjZUuDWWIRQb2icpS9z4/o8wPpkC1qEe5HjyG19FvbfdK22exiVNEXmodq2s8pTX2+adZYXOCBeE3voFoBZ9tCprVtDqpkUT/mbEQUQrhSzzbVPXba8fuZ5yyYFDohWUgL+6zmiNYYjZOtdT+q3r1k4xxoRi4hD73zm/GXf9miQKaeoPIWmSIEsTwDmMlg32jlvsHANZTdDWqxqNtlgMDKZ7hOmuhks6uPL8jf9l4noz4iVywU1y3PZH7steJdtW8ZPxur+pk/gvKH6PcP562l+rXO97fdeRtfXw3OvwvHNI5icYPfgI48/eR3F6BB0ORSbNUW3tYXbrXSxuv412eyc8Gb/RuYr0y9AXqaD15fz15Jchfp/5eb738ylo54pz0MfHKB7cx+D+Z0inU6+oOQebpjCjMarrN1C+/TbqS1eBbj18tZHO8gtR0Dby6kJEeGc0xv/szbfwrWvXkWvd67JLgwEuDQb4zctX8IfPnuL/9rOf4Xsnxz8fDr6R15IrVYWvVxVbNbft6286G/nFyt4n9zA6noI6a7QxSMsK9ec8t5EvKNZh96TBnacGo1JBrS0/ulUoZgrbC4ujU4Ontyyq4cZj5q9MnEP24jEuffdfYvT0HpRp+qhDtUT6Yonh4WMsH32Ew1/9Payu3flrK+6/1WIt8nv3MPn+d5EdHoCETyIA6KqCriqkR4coHtzD4r2vY/nVr8MJJOJV5ZUVNCVMc0bAnY4Ua4XaAtSZTpUGqU5rFIUnQhbgIq0UiqTbBh2a4NgPAKeLhpWS7ckWn8gHecLOvqVr0XYav3VA57xsLMoqOlgnOglfAE7mC/69MdEhvDWGzeymbYMzJmAsYMJW7SgB6QC3JBZJ6q+ds6BQdiKAEOshjNNQpLCXpvhfvPMufuvKVaTq4gUtVRq/e+0GCp3g//SD7+Lj+RzGRBigk3V47jyx1qJt/Slfa83XF8Gm/o/CEpFIKDJ+S1EHrvlrtuTS2nlFfEPWWLn4N+esaKh4aY2BoQ5iVujDc8LKdg6ES0TY3d2NAQDG9CDOLrBDtsOkqfE35jOM1trFO9Rbvl+eNJMsTjxrLFtcjIDspVVWkYILMG5dlzg+8Q7dp6dT3HvwGICfG/u7u/5JRXDQ6GzKRpj7lZJTWAY4rPVr1zlnuvsii1q0GxGJu0Q78B8Bb6kS83qiotVmMBzxszo74OHwfLpkCIz0EBQcxRelQd34+TsYOAxXB9h9+BhKWr8BNNahar0VaBAsVPuTaCWYnmq0xpdjWUXrGFzKFSIohh2aljBd+LHWmAofP5jyu1S4ts7hz77/Ea8Vnz2aow3z0pkEg8zXIdvTcAHH/vX37uLXvvqmr9u8xOGhf9dsUeOHnzwHAJhEo2q7QB6C1cQm1PH2iC1wzhnUtYcQXxyc4Nmht6A8fT7F4XGEmOP8VeBZ59Cb+0q1PG+2JwWGIRCByKKYlXjzITBoCS9Ds7RVuHSiYKoFfnKlwdS0ODx8wX+/2wvQWofgw5x1FK3IwqRMUOwS4ddRsXoIVwcNJZaYeE1iUfKgNvE93U1GAY3zbdXC4jSuaCAnviGmshLWTi2sf8qB9yDSEe4ErcGXa/Bs/B8BL/bWOYdkeYorf/EvMHx+H+pCKxegrMXoxUOo7/wxnv+Nv4d69zJceG+axsAmueatw5qdyIA1IELU0n3ir0rObkvre+XZPe+XYcRwziF98Rw7//rbSOazXj+tCwFITk8x+d534JTG8hvf7KEwryKvrKCtd1wssAXDBdaKTUyd04ToYfCKwH4nfl7GytZNw53UtgZd5KAV0IE1LvqYGIsunKoVGzGA6ODlXD+S8gws6sQ1P8L168GdFOFOaz8H4hT/+z+8dg2/e+06JEi0alvM6hrOOYyzDMM0hQrt9GtXruI/uvsm/s/v/xgrExUEfvcaVPd5sl5PqezJ9rcSFluHvsRe3wMB+k4X510KSHrtb32sqQeLxkWsD5HReQVZg4KTJOE6JklysQnfOew2NX5/OsV1055/D9/an5RdBBrgx2fXVtbFsSahEEdKjGegCZtmXTcog/+OUorHNnGEbJwr58PrYN+Qnr8Pl+BMTS74/WV3XfSMmBvOQQWo0TlwRKZzjv3JAICmC3R9S6RYQTMG6CL+JrMFbt3/FPocnxkeGc7xwpelcTz7aDkJfeGc6xgJ7hyxslW3FsuyOxg4HjfWWrw4OuX1Yb5sODLVQXPkeUIJv3drVODSjo+8LpIExPN4Id4r1qNukoV+1WmChKFbx31bNw3Kyh+Wq7pF03bwrGOorg/vrMFUiNHZaaIZ4lTW4e3HFoNG955slIUJh6/EKX8gB0AOuLJM8fy4wkHRoGlez655McQZ574fdedvhusQfv8a4nn5XvmVMBcBtF27OUIqVzfxAtmiffBsHfrkp8W1W7v//DJ17wgVwdYH38fo2T1WCBwAm6Swae4VwKaGahuQcyDnMDh+hu2ffg+Hv/u30Z3n1JqLxue5PfS9jy6aP78E+TKBR23jlbPZaZwbpGAT7X3OQKC29X0RLGuqrrD13b9Affs2zO6l1/rcBuL8JUqiCP/+rTs95exgtcT/46OP8P998gi1c/jbl6/gH77zFdze2uKz79+7dRv/6UcfYtW8XHHYyBcTcg436grfmp3imjGb0OYviSRti7svnmJUla/pubGRn0d2ZxZbVV85O81b3L/scDwmJMbh6nGLW8cJMuMP4hqEm4sMH+XlS968kS8iZC22P/pBTzlrByOc/Mpv4vTdbwI6wfiTn2Dnx3+ObHHqFW/nMHn4EU5+7Vuw+eCvtwL/Fkn+8CHyFy+Eckaod3cx+8Y3Ud25A6cTZM+eYvKjH6J4/CgqaVWJ0Y9+iNM//Nuv9b3XiOKMyoEzLfjkm2ZsyrXWoLvNtQaO/ElKK4WU+dFixKOzhLmAHH3kl39vkQveGR2jRqyzbAVTWiEPp766arCswol3jdtJd1YFONQiitPzyIT61Q1sOJm2Tc1RLrZpmcPIWAd0fD06gQ5Ol2RtjMwhQrvuEBq+sZOmuBp4ZXxdHP7l40f4Jw/vowrf+2ePH2GSpfifv/d1DAOsuzcY4s5ohKfLGIF1kUgn4PMORj0j14VBBZHPJzTc+c+jf8pj6ynAsAjBsUmeyEc9nSfenB7+oYlfrBzY/0U5QHWGIerDABGHIY5aAhHquj4X4uxkYAy+uZjjK3WFnTVfgovkjMVSFEMpHZFaJbDaNfdfG9TAujEMcS7mS7YQJ6nGG3fv8vdGw2E8nQvrmOxi2WfCqHdeDfjpc+EWSLDF/8zjioCOfU1aeQAXo3XJ9fogQtGEq1cu82uny4qDIlblCmWo+9ZkC0ma4fpsihuLU+hzBrJzgDEObdsFT3RQVlynticFO+tXzQpViLB1sDABWlWG0IaIx6ZpMV8G9wS3wsPHp/yxOqwBDg5PDpf8DWMytoN445n/3mgwRJYFDrZBgbyDxIoExa7fMAvtcGPPX2utMBl1EKfCcJBzkEBKLYMAk2GGeuzvW80XePbEQ6SzWQvTdtG8os3XTNndWkgE7O+PuPssDJoAR+4f9w8pLTn8YN/gZMAB+DjaApJFjVtl4eE/AFsmxcnxEkUuLcrnQ5zSiV5RREZIQLL+79LCLy1A8l19iJOHJAlQk0iMaSXKQlC2K4eC7dxyiCJnH/l1rJsrDnGtIiKOflYO4BVETA0CBI2Xg5Wzy8lSCbcCF0uol6dIl7P4DCnMb76Fo2/8NluOT979BqhcYP/Hfw4dEABdrpCcHKC+ch0vEwl3rgfSxXv6//5FwokyaCL2CmL0I2HNinb+Kn1xwNvPX8ZOhp9+0nuhTRJM/+YfoL4W27i5cwfTnW0k//yfI5mecGnzJ49e+3uvbkGTG5uAGyhxDKs665iqwjgTm1snUUFD7FzrHOo6EryWVQzPHg3HkSaCCJFz0zEUoElBByWmbQwvxs71Tc2Sr9OY6B8mO13Cs7Y17BvjN/Wo9HBllYJi6oVIqLgOcZJwyNrLsl6ItXUOH81mqE0kajDO4YPTKWpjWEEjANeKQU+BOk9eZoZeV8y6/12n3Yjlvvg7dMG1/DQraK6jT/HSNdn6nHFWKnvxd+U8GSQA4S2Es0ibExcyUtAYrsc6CXBhDP6d6QneaBsk6K8D54J4F0R9rt8ToeH4Jtk11kaFojWWYc2qaoTfl8Le3h4/k6eRANc0cQwb8WJaK3i/HOJ3aRvpOkpCyeiPJVn29YW5h1jzHLA9ahUmNgYwHhdcrkGeog2Q4HyxEqTODgNr8dWDZ8hfFqAR+K/9/hqiCMXGXRQpl13rEl2AoYwmle4MTWNR1iZctzgJdBjOOZTdOgXAq0u+DkWWx/pRhNTyPGWfrjxN0CGvaaIwGPnfTdtgJ1wrpSKdCBGyLGUFTcFBh009TzUGuV9Lm7rCfObLWJUKznYKcpzL633fuW4RAaOROFzD8QE1axysjgewk6TFQQ6YJm6g1lkca+CmixMxdQqrZY1U+Kz2I2DFmILl2ezXzDgOpR/lRZurpC6QLib+8NANyqglWTj0g2K7exSUC4duxAO4X+t7X4Scy9EDw/HnrHxEnJAd5DlGzLPenHN9Tw1RRrWY9RQ5R0C5ewWOKFrVCCj3LsPpxFNvBElmU+BKpBq6SM5fzwRELOr8i5ZzPVXEdb8B+anX/corlONz7nEO6fFxb0Fs9vbQXLt+5lm7tY366lUkgXgcANRq5X30k1dXuzYQ5y9RTtu25/dGRHhzNEGiFAc7aCK8MRoj1X0TyMlr+nVs5PMlsxZ7pkXnVu4ALOHN1iP3iqH/G/mFi7YWX3v4KcZNxUqzUQrJS5yjN/KLk29vlTi0hN1WYQyNe1vrpyEgtYRJKy11QOUM3C+ZH+u/D+IhSnnoB/LpgQ+gUFGDyqZHoLUDjSk28OYvTEwLl6Wwacq8Z+3u/vn3Ep3piy+yobyygrZaLsS/hJXCOXYO1iqNDtMUT0WKCJk4uXWpJxwRVnXU9lOhWRIc36eV45NfqglpSOmkdUw94hKFJkRQ1Y3F8TzAgSCsKmm2iYpP3VR8WjM2pqFRScKnO4KBQefIm3D0HUijc8QlBZFW5yxs2J0iD+sKTxcL3N3a8uUnwh/cuIGPF6f49osXqKzFb+zs4j+48wYGoi1OqgqfzGaf279KWG9eBsNdJJ3ySEDvBJjEQyK0isEfSkcoVCkNQmfxBBK+y0JLqMCK03U0JKEliQZGAtJE6UAs6iGIPo+MNN/EnzjKkAjHx8f8p9VqxVYCyQEF+HP3E6Xxo8EQV+sav9pUkCryy6I4e8EVoDg3SKZEi5W1zjK0V1UNFmGstm2DydgThBZ5xgctAtA20bfHGSMgR8XVp7U0N52VwblodSai/lJ/4aC6wEK4bqUVfQv+tlqzPohoOJ3wfbvbOww1TqcztLWnDrh18ARXFxHSsUrhxf4lXH/xXJSOkKUZBpl3krahPSUxauf+AACDQcJzdFFa1MEKWVYNrPPtX9UGs4W3ZrZNi5PTbs0jQZBMKEZjbh8fqRnGhYjckynfqqrBfO77LyGLjPzvqQKu7weIM0lw/e4N31qKcOPGDbagJcqCwngbFQnaYRauM7am1Qao2m58ybEae4EUYTLK+Pf93RGPl7zIOTp+pgk/LPy6nGcJEq2BxsFYB20MtluFu0uNG1XamyNPzBI1FIo8rl2SELVnVyZiZU4TRYhTAWTjPVJIuDEwgo71e/qIgJiKApaMcKWChmrjOi7Rx27dJ3gER9gPuR7OxShXBRLZlhwHrRFFA5hfBUTUpIR9Rfv4jvPXzWiCZjRBPjsJn7cYPfwE29uXsLj9BpxKMHj6ADuf/ARKWM9slqPe2e9X6nNEtp9zMiDQAYJUF7Ke8Y6z73vJ37q/r/MMRukskLT+0y/l8HxmD00zzH7395C+eA5VrkBNi9Xb757/7GKJ9MWL3m92MHgt6xnwGgpaVUa/C0hozEZzeqItdMDwlXIMZ6kkEUzM0azrrEMl+nycJnGDcZYnnyYgEQpalnTfU0jDeylRMEFBg21QrvyC6BzQoIsoc5C5sJq2jQqatGwl2m8k/i/oBrhpU3D4OhmOOnNAJO9ci4z0e2CApmDx/77/Gf7R178JHTbK66MR/tFXv4H/+M0VrHPYKQrs5gV7STgA//WD+zipm3P9SmhNKVNig77Aav254oBAyR2gCxu3WG0jYaoGcdSacjr2PYC0g7isFXnhhNKAoKAhlj1WKrKfp6SRyDx9n2uGRoQWnMPx8TE/07QRGrTOolEKJ1rDWov38wKfDoeYKo39c6yVTtj4X+Z/4QTkI31oiIgVek97EiLxqgarpR+rBIutiVfQsizlgwgAtM0qQpYiU4VT8aDg3xGhrbiGSmgXkESp3XyQcGz82znL6wXQJ4n/OoqRkbJMAKB0nOO7O9tcrocPH0K5FpebFu+uVnwocACOd3YxvXy5r6ARIUsSDPIi+LV27hEC4hSZBgZFynN0UZYMp3qiWT8ulqsax1Pvo9q0LU5nK/7WYBx9R7PhRMDHJkJRKpLLWuei/1vVYLn05cu1Q8fKkiqHG/s+L6dOU7wZFDSivoKm5g9AISJ4WCSwrX/BcBAVtFVjkYRha6xF240RB1DYWDUIk3FU0PZ2xvwNn7s3RNE6Qoc2U+vzLu41wK+faAxcghQKA6c5ytEBKJ3BD90clQaKIm4rbs1fkkeUtQyJW2vjmil+98+fN9ecWEecd4/gfUOQnYtDmLNxmihno7JnKSqZzvWyaURmmi7itftmrJNFnyS3O75asX+RiwQhbg1qvVDTENCpI8LRO7+Ga9//YyD4yWarOS5//0+x9/5fAkRQTYmkKkUgAWF28020g0LsGp+v1kjfQK9bRwhWlvlcxetlGtpF1fz8Wy548avL2S3jgsPnmQPB2fua6zfQXPfz9GLSb4fhj38IPZ/3vlRdvfGKJY6ygTh/yfJHz5/hK1vb+Lu37yAhv3Xt5Dl2ziGxcwC+++wZ/rNPP0G9gXd+4bJSCv/V7j4IQCOdLTby1yK5dfhmWWJXKGfLYoAnt+/2LAMb+eXLXgXctPm5W5uFw0/bKT5U5Wb6/FUIAafvfgODo2fYfvCBV9KcQ1KXSOqzUbMOwGr/Co6//uuATgD3Ej/OjfxixVoUH3+I8c9+GjlhAdgsw+Kb33zt1716FKeADpI0iwCWs3yiT5Rm863q8YRZzDvIURE79gMEnUqSz6jj13W0lgythbKRN8q0werVGlToyGlb1G0XbWmRptFq1jYiilD4dmmdMOSlBGxkmwYmPNPWFdrGn36NMXy6Ix15mxT6HFBS+mSwhGGSQhPBWOuhg5eIdQ6rNrgkX3TM6Fme+ucd6Qgt4cv1dFfiH3wpiRkzE43MgyxlWLPIh0x+qHXKVkdNhLSzVBoDl3TWTIdZGaNoKxOhAo8TdFiBYqu8MwamiRYpPikrEWkqLIcg5rYMnxeTRHyPwnOG+nGMhPNPTt4CdrYcZ8Txf9ZfIE7zFnXtzR1t28KGMmapxs62t9SkaQItnK0tjHjteokd/2wFDMu9Jk68vt4Ckj2HdBboB4ycW8XuvXzKB9DjXqPznoB0Ak+ThOGNybDA5YNDvGkdW49L5/DxaIhjRdherNAXB2sMWrZ2diSaMkIuwvSE2P5l1WK28GNyuaqxWoUgjdpgVTbcLt04IoAjJIk8/yKPmkw0gvd1AOD7tSO7XpQlTue+/MNcoQjzxBgL2ECW7BRbTBURWhMRJVdZdKS3bWs5Cn5rMsSVy7sAAJ23UGlMObUU+TDZVSFR2N32FjulCJPRgGHfQZFDq86VgBgiNS1AymLQJBdaOgiE66rALbvEh9T082+uHSy7kaCUWnMZ6CBOtwZxxrWTxBxHj6yZYj8Lx3kfRS2h0+5V0rpreQ8goA/Zrznmd8ujFfNHOl14ZxY51tfRgvC8XIPEH3ozToRxknPQdQWyfXvdhaIUbJIEigcRECPh1DU3HC6yi21OSkX0A47H4EWRnoi1Wru6WC4eU6LnRduDesvXX4nIffO8ksXmOrvG5Z99iq2/+HPoZUQcrdZY/sp7sFu7r12WV1bQnJh0WuSkbOrI+J8lCfugJVojTfzmXTcN5vMTAH4y5YMYrbS7s8PvNU00C6+M4YVvazxkZcY0jidaWdecF8/CwAUGf2MNRiG5sbUWtYmnjEKnPCBXTRY7o6p4s6pWJStlTVOh7SI/rYViuhDLDPLWGCSJhFHlIBUJzBXwj955F79/7fpLswh0khDhW9ev43+jCP/77/4ljgKMcxFRrRM7sVB3wnVQPl1kuveuhOeP9sTGfWdQR8+97TzniNyd8R6zxCdJiiT8rkkhD5uQbVu0q+BjZVrce/qE26kWkGOg+g6VijCHadq4eAtFTCkFnQW4BvC5A7v3iuippqoFNCl9P4g3J9kCnqD3bHsopThpO9BX9CWcd5G/h6IY9duaFuXKb9h1WQbaGiAdpLh9K/ohZXmsk2nFhkt9uIJhTRs7zTPFR3i1mz/r0ZlyM4VTPSXtPCLLnmoovmERx9V680kV2NmW3zsocr5+M8/wTtPwguQAfNKU+HG9wuT4BZJVX0FzzqGtKzRB4c+K2FYsAuIiIuiwNs0XJQ6OQvaG2ZL9wzzXtXRP6KIMfZR4J6aOkcHeTb7zYdI8Rsp6BRfWjaNphmFYC3dGGUaph7HbtgWMVzDJEkZ5R/EQDqhhfC4XUdmrG8OHjqtX9mCVp9x4drjC5LgM9Vvh4Pg0lN1yVF+aJnjj1j5/4/KlHZ5PO+MJuytU5ZLXwrqu0ToHaoa4SBSAq3qIvwuFw+YBnkgFbZ1gWMKP3Rw3hqFWchHudOQzaPB3Ov9mB1g5ScWaK9dDLaFPsZ5BWZ6zfj3sFA9AOxHFSXEFba3l562IDnViw1bCN83/j1B8eI1w4MMEAIL0uxbQoTP8D2prXPmzP8L46cuzCPB7rMXwxRNc+fM/xtO/9Xc9me2aXHQA84qYv9ZKQ3Wwt2kZNpfEzevvkhCpPPAT/6f3y4XSgz7dmoHi4rPfa8tFB+2zhObdvhN7SdbVOYv8ww+w9ed/hnQW/WcdEeqr17D8xq+9tv8ZsIE4f6ny969cw+8J5cwBOClL/P8ePMC/PjxA6wx+a3cf/97tO7gyGoEApErhd65dx3/8xpv4v/7sZy/1f9rIRv5NFKpq3L3/GHnb8ZQBp7bFn8IiI2Dy11u8/96LBfB+VuKkrjFVLRpY3GwzfNVNsK0yViz2dIE/aPfwTzB/ieP3Rl5LnMPWhz/A+OkDVs4cAJMVOL3zDpY378IRYfj0Abbuf4RkuQDBp3waHDzDzk++j6Nf/Z2XQDAb+bnEOcAYDH/yI4y/952e5cwRodnZxez3/wB2a/sLvf4LQZzWtHCW4u8dNGgN53qTuErbtmjbQFqrNeACsQERegmhHMQpPJp4nbP8/cZWDGtUjREEkgaOukguy/lCrfNZDHtFYlt15D5z1gii1Rg+TiAmviWx7JCANZVwIGfes7X1KVMK/96Nmz3L2Wld4f/4/e/iL46PGIL8ztEx/uWzp/g//MZv4U6I9lRE+B/dfRP/948/xlxwYAF903kf4ozm9p7hnYSpm8CRVN4OEAudOkSowFhus7IsUesQ4TVqQFm41jGlEoEinQgRMoY+FUaDYSgTsKpj4RuOmQKcSHbnZPtTtMYoeOsc4E81VjRLIy1libR04XyR7eY+L6aob706+yoSY/giGMHBBKuGtQa2869yjh21vZU6lt0Iws/+9/UFFesPjAuQ7P4TL4M1BYTE1z0rHrGF0qEPbfUj1ZRoa4CMxfZP3sco8Hl18kHbYN8BW1WDrfkC47XADbIOxencW1kSDXP9EqA0O+YD6KV1W65qVMFtoaobNB35tLGC5/DifpVWXCOCNHy61QiJdG1A5KI128UUc9KB31iLtu5yY2qUHYxLwJMnz/gbZj5jC9py1aAJXG1plqHjvd5uFUwIYCqKBJ2HgbOWefOyNMFkPOB65FlEE5IkoiI++jHOOeuAQ23xIq856vYeKnxYz/E/ttewraJv2lvJBMOaMLMtf78TJ7Aqco4jU5WiwA3ov83WC+qTHPeZY8X40rG8StC9RvY9LoD/H0DQgUTiWAIxrLm+hMv9SEKvhDi+PYO/eFdPZLBEuMfJHaWPeniI04Fag52Pf9KjbDBpjse//3exvHmHq7e8cQvzO2/g2p/+C2SL4JzuLCaffoSjX/kmbFb0aiQ5IeeLBUxYS6uqQhvWo6LIURR5bEUmfF9DDdbWk3PzAZ+zJ8o/xbsjBNQPGF93n+jm3IXFEO/tf7xngJNFpPh3dYHJjuRmQQCVJUbf+w6GP/kRVBMT2DsiNLu7OP57fx92Z/+l9X+ZvLKCJhOkr9oIUxDp6NvhgEYHnwqtoHTnj9Gwz02WZhgNA2O2cygENFhVcRPSFM3Wpqlgghl6Opvzu+qmRRNO3UTRguicY4oOEGE0GIffESZjeG8dYU1TR8oNDYIOkETb1OwjRIi5Q6E00pBCw5oWWmRK0D2Tr7//WlFgp+g72X77yVN85+QkKCBxkf/p6Sn+6b1P8Y+++Wt8Oh2nKb62vY0/Ozzob/ZKccSj0eSVG/gkwDyHFCJGqb3fqC+bg026xcyhEDNlrxXeDquKrf1PT2YMIS60xiTcsptl2Bv4frWtAYWNJyOFy+Md/7tzGI23Yx+tplyParVg34yqin3RiPY3tuV7QE66kkQzu3M95vnhIBKjSrJXj6j665ocOmTLoO/D1ol14jBBECTFYHjGN50AKrSgvRAKl2lbVAGaq8ol2i67hc2x3SnlijAM8LFzDnUvKXrcuHq5aW1UpM9kg0Bniu/DgFIJVDrO5Yv8FD2sqbmMXd2NbaOCZiyauhbPCNoFFdcO0xqkswXSx4+h1ugYfjcb4HcBoGqA6hDrkhiDKw8ewT0ATJbi+c42mp0hVkJRPzpdcl9++vCQ/cueH0wxnXfkwBG6AfoQr/QKisVzWC4rrkPbWoYGrW3i+FIWFCLMWxgsQnukFWEZ5kZb1ZgfezhEpyUef/aQ2/tP/tW/4m/vbGXczoMsZ6h2d3cfl676NahqGzQ2RqbOZiWXb7XoDscKt25G8uPdnSGXtxBzw5kGxvg6lWXLvkfGtAyvtk2Lz6oa71OO3xt4IlQCkJDCXqVwGA7kkhjcu2DEg1fMaxznkB9fUSkjmTqkNwfEGiuojbT0DyUlotpFhLujeGggy8qsAoFcBNnjzHCAhEgpznElvMISGCYUViDOmmIhD9J9iNN0X3FOBm4CaEEEZNMD6LVUZ/NrtzC7cQtwbdQwnMNy7xJO3nwXV3703a7FoNoG6YtnWF671XNyq8R+9/7772MWYLlnz55zdp+7d+/g7ht3AACDQYGdne1QfUIe3Hucc3Cd5du5s4snF1wykcs/ENb+0FUnXoeWWv/9898lNjTxM7u2OBf8kr0k7NMMpEk8vEg+qI46BwBoNsP4z/8VBh9/0IOenVKorlzF6d/8WzA7ez3fyf6a/PmygTh/STLRSRwAQT6YnV54//cEfxfgFZBL50R6bmQj/yYLmRbKfHE4jACQtVDSKX4jX1ycw+0V4dJKY2QJMGP8SXaKqbLn3v4c6+1OyHvsaBv5eSSpyjOEp6u9yxfcDSyu3ADoez3FLVktL7x/I19AnIOazzD+9h+juP8ZW4IBr5yVN2/j9Pd/H2Z3/zzd87XklRU0LU7aMopjHV3h07a1HGhzRusVP0RI1FtLOjHRRxKrpUIToJ/lctG3oAWogpSkz3FsDvfcRKKaOru4khKq6Bp9rfB9qCiafC/aYjqrfmkNRwt1crkowk1nX7Cb9svpnMOiPUs1INtfnh/OmNij4UnkyQTDmN50K832IjpJ5JS0BIaRGmNQBvikbhuOok2NZdZ3R4iEjYimY0cUggr8u7I8h4kYAluGlFYxL6qzMF0kEVwP5uj55ol2ss5xHa2zfJQlUr2DV4SDL+5LGY17keP8+oyMt4nIJ+Fk6znKzt/84rNrJ0MnIjRFCS425K+/69UUovPB3vNXnN54Wzsp9x1u++zzPjr2lYrzUnEBeu345QDvAtGNo7aN3HN9WGP94904kLBGD9XorX/yOtEKSdKRdsf8wYkWLKmi762zfK2sZajbOfjUc6JE3bXSWlgwY95JrQidnptoxemWFBFMFlwMBE8bhbr3q+8wrh1+a5FjZKLzyWFd49vFMkDznTXbwBqDHb2+hTjMTSXmrJgnoiFldKGiaHhRgIie7c+zi3B6Le6TMKocwfJnJ+/vXSNC1OiPfyUhTmfjNbm4npIFQ5mkGJbrFQku/g6C60Gf/XEG52DS1NdJSLqc+6cc/8e/yTkk1Xq0M2B00usHAGiahsfefD7H6ak3Fsxmc7agnc5OcXIy5fs7ZgStdG/KKvHqXkx8z5i1PovOuUU8Ldus5zZC/WHwqovHeS4a6yLXqdaJvVbkgHUOUKsFJt/+ExT3P2NeOsBHa67efhenf/MP4AKB9s8rr6yg3boek4E+ePSIJ2CaJ2zihzXsL1SbljdTrRM2iaY64fOVa1s8ffzAXzuHw8Pod3F0cMBKkjfHdtcLNpuXVY267nxJHJq2m/DEee2SJMFXv/oVfu+1229Es/5gi32UmtqxF1RZr9Cwib4V0UNxUbEGqDnpuxU53FwP/iLlFaLDpsKi9SpI129/ePUa/umjh3i4lCTAwCRN8R/cvt3D5htr8WC5hCKCTmO35SoSf2YqZXg1UQkr1Yo0VLBvp4YwCodeIiAV0I1O4qAc5oJlPIuJuj9+8gjTEH358NlDNEe+z27Mr+FmWBx2VYo3khD1ZQmqi9ZUCpeuXeU6mds3WcPc3xp4uBboWcNt2/A4qNsaTdjEqrrEYuX9luq6xvHJUegXg9XRAffFdBUzYKRNhKZ2hxOkYXNpyaHtIE57fgi5tTayyTvHqblCS/KVEv5z8g6Zb7CqSyzmfkFcLeecJcC0NVOVEBGsiRFlREP+jgyMowCFAPAUBXLQnL0EsBaleoFjXm9zWoPs2fdSEY83IoDCQchax6Z8YyxOjk+4HrLZ9vcvQU0mqPZ2w5xx4RnD0IOxBq2xSJzDloRziVAmCaxSaLMMq8EQrXH47EmMoPrZZy8YvpzOG7RBg7EWSNMuyrtBl4TbWj5L9FrNAexz4wAsFgtutrYZACHy7927N7Cz5cf9eFwgD2vQ4fMTHL/w/d3UBrPToOTUFVYLP4a11pg+exrayWFxOuXvj7dH0AEm3rl6A8OhhzWdjYqCtTXXg5BDXd8O5SUA0f3CCGdNlQhIO7RNnTo4cr2g6nfcAD9oF3iyWGKx8POpLiuMVy3evfFmr52WTYUfP32EeVij98Sh2wI83sgablNJyUTi2rOgC2ucdGlo47j1ySkCzCiyaRioXtQ3Rxw7B9sRbJMBnC+rJnCyUp/PWWS5MbGtEht9jci1rFYonfLa7zSFF3oLb9IdwhwAE9ochCqJPrlWxSwbSdj4m2KENsmQYcHfHD/6DPatr6IabyEeKCx0tcL1j34aDQ0ArCKcDMdYtS2PRwB4/6fvowq5r//xP/7HePDAw+vT6SnnBt7d2+V8wFevXsF7770HAJiMx/jG17/q20xr3L19k9+7NYn7hpYuE74lulaTx39Icu3unv4B2LF/+fra7P/ZPUPiWt4jDjuuf7TtfH6tsZjyOuVwfHTM90if9O2tLVz78Q9Q3PukR6llshyL997D4lu/B6e12BL6a/KrkAVL2UCcvySZGYMfHh/h7tYWK6jXx2P8r9/7Gv7pw/v43vExlsbg7eEI//7Nm/ida9d7z39ycoL7vXRbG9nIv/liBwMcf+NrWNqWE52fnsywCsr+6ekS09kce2WF3z+NylerFB5du4bp9jZclmJ7uMk5+IuQNiG8SA0mbbSSbFOOf7fewr92NT5ECSLCe/kI3xrv40ox7m05Pzx5wsrZRn5+McUQ8/1rGM6nbHnLVwvc/cs/xos338Ps8jWYJMXo5ACXP/0Ztg+e955fjbaxmmz/dRT930oZPXmMnc/6yplNUpR37qC++waSI28o6ENb4WAwGgOD14tJf2UF7WV637lRXS9BUqyAD3tEor38hrYHA8Vnzv8ehLmeVD/9kSTv7KX/EEf6Hvle7xq93+PpRMIcL2kcIf/Fwwf4W1evYafw6Tc0EX7zyhV8ZXcHy6aFCUETW1mGNOS8dABqY/CffvQzNlOfsfAIaPJcGEDYzs/0izD99oTibU6+i6KFaN36wv0Fx5ZU5y4oEztgXgRhSEhPFIqv4qlG5iBVvXyUZ0etjDDia0kKeeaJz5f17v95LNvrzfMqbz0LHHwx+dw0Wt33eFzR+e15EThKaydjFwiU0wQmzbnL66ZFHawlq6rFskwxPAfer7MM5WDQIyqVQRM9KBLnz9OLIM4zwKZbGyDcT8J6KhzciSJE2MGiQLeExHncL5+0WpIYC3Kdk2Vcv75Izr+HzvzNX78/NrhVWuROMbj+hprgalqgmlwDiFCQQqFTaPGW42qB/8/zj870MV/3cMa4KDlyF8xLiE7rY1vrMJdsR4h53V+6X97urjc++5Z06pXFiWZza7+fs+bKMonfsT4fxH3y98df/XXsPv4UaV2yW8r24TOMpkcwSQKAoKxF0lSBnLaznik8fu8b3O4XQXt94u3+utvNJ2v78LZ0TTIiiE62rYwG7s+nGGnro7pjIEgvqlUqQRe5s/Rg8D4UKeWiKHTpbtDVQ0L5/q3B2motdn/2PtQakwJZg+LBfRSPHoq6nhUzGuHkP/yfANlL3KzW5JUVtK9/5RZfT09OOX+dsYbDztNEsxlZk+ZQ5kwT8tB2y/kJvv39v/DPmhaPH/tKEQFpFouzWpVicsXW3t4eYxBCf4tigO2dXQDAYDDEVrgmijkim6bBj3/0Y/87gJ/85Cf8rnfe+QqTqzpN3K7zcoE6mOblwp4kCbIuesUa2K6jnOXQSAKgs0iAq+qaIbrnbYP/y89+iv/Ve1/FVp774EoibGc5trPzUz0tmwb/2Yc/w/dOpmvm4lCmumVFJHFtbH8YUNr97v8fAAaWsNWNPWfhbIy61bf2uP3K3XgyXj2dsmPI3t1b2Apm4WdViVmYqM+PDvHkMw9X3yomGE48lLmb5EhH/hpKASrQKRBAhWb/iqzI4HRX9mgiJpNwByidcirUZKyjyd45WBFp9vzh/dBODh988BPui+fPnjF0ZkuCC32WD3LkIY+rI0J2zjqWKp/Q3bfP+l8FDCP+2FuSKKqLSaKRhLGeZCmQpt0fYMJd1imA0vgiCL+XxIk9QWxcEooUUKtaK3BcoIAeLbe41tARzhdQmnHRjaE1UXmw1jB1iJ9/IX+qSrC9e4m/e//eQy7uyfQ+f+Pu7VsYhCjgZDjEYODnw9y2oGoOSALZIDkBQwpBzIHW4S9++Bn//WQZswH4HKDd2iTIRZXm6G9jLNNIEElymrWNV8XN6ea1LeSZ76d/8Ld/C7dv+LpOT2coA4T03fkCnxz7SNRSK1SnoW2cAYX5lzgLZ2Luz7//d/6A2/bINBy9XIw0SIcDZ2vROZ4pAjqoVWnFWSi8j5/Y6MSS37SWq2WFMrMYKnx/UuLXZwNkzo9bDWCsU4x1eqYfLIDD1Qz/yY//GN9/fk/AxED24L64T8CSacbjU5OOcKeKPnZ9x2IC51EmAII+R4nrTJCBJiry/Hu4rSMUlllgDHSAOFNN2Bl2biHAJI3zZGdnyGtSbufRW8pWrGBoGoICnOzdAMK7rIXuqHQswQV/CuOAEzMF4IfV01UccaqNfr/kLBa3vorfvvcj5KZhJS1taqTn5Q0G0CiF9y/fwvsNoXnkycF/8zfu8j27Oztowv71zjvvYjLx0eP37z/AcYD65vMlnj//CADw0Yef4F99+898/fMM169d4uvf/9Zv+nIS4Vd/9avRjWRnL+bpTgpEag5B+yP1W/k7+vu+EXCz4/+g519e5AP+XpYVnLFIadV3Owr/u1qt8DCMz6os8ad/8sf8gYWg/RmNfbTz13SCb0zGwFoGILIWunqFICXTgsoV3F+FgqbWTnEXnbYvSiEhb48Lf+QN8sasvnXrXIVf7ie9kGrq+cpIFvX4aD+U2YlTHFds7RsXGXjWZZ2e4Lx2cM7i2yfHyD/8Gf7DW3fw1vZ2b+Ner+aj2Qz/7N5n+H89fIDamPPb3K1ZU8/WJlzTmd/d+j1nrGhnv0e9+2itv86e/tYxf1nuVytvP7lJjFiOYfMOMXzZ2X6KsV69XtZ/bAm4+KZeO9MFf1j790W3yXErr3tP9KyMJDpuzdfsvDnXOxX3xyeJh6n/ojgFeveJYr2kDTvx3X/+OnDRArz+4le15sXxcM77X/bceeUj0eTi3f0Xud7EkfPB045E5/x1xdg/3beYXFTLXiYIG8tLwNrY6z10tk5YqxPiOFh7pHf92YSgXIV35gm2XYKz6rGX1ll8fPIc/8XH38W3X9yHsRa48O5YYzm+Lm6HC8bHOdaR88a3E2ujW1sn47Pytedbb8Kq1u+DMzXq7oly3u8OF62H/ZXHr5uxfR5fvonvWYOvPP0EO9XC88id9xoA8zTHx/vX8dH1O2iVQk9j7spGfZTpvDUdvfaw7D9qbUS0PI+gRKgc69Q+AEr2S6xbHAf9OmNtfHZtJpqpX9+1vj/vmQtF7FnWycCtfqYEa312i8uKkF+wX7+ahHCH13jBxgftlyy1tfivDw/x4WyO393dxe9cuoyb4zEmaQpSCou6xpPFHN87PMAfP3uOn0xPUG0Spf9SZap0b3qfKukyvZG/Dmm0RkWEPGxkVim06VlrzkZ+MWIU8PG2w/32BLfmwF0aYosy5KRhnMWiqfBocYzvnzzBXxw9wk+ePzoTKbiRX5wYneDetTdwPN7CjcMnuD49wKRaIbMNAEKjFOZpjufjHTzYv4Lj8TaMTs5qNBv5wrKyFiasP6+7GzgArihgi9fzlX1lBe3qbsHXv/G1tzhk/f2P72O+9Kb51raog8k+TzMUaWCtthYIkXzlYo5PPvnA/06AUilf37x1G13V33zjLsMk165eRh7MgkVRcLhv07aog5l2uSxxdHTiv1Gu8ODeZ75MbYuTkwMu+2C4xdcffvIha9+j4YC/t3/lMnb2fM66qm1RBioPa1qUzCkTo/LIAVka2sc5KDExtNYMcSrtWcsNLD5ezvHZao5/9vQxEiIOVW6tRdW2WBqD2tpwIkUPO5fi89V5sQlF0tqEIvKmogW0chbHoc2MMRwJqZIE+6sh98XgKNJQmJMpn8LqIuUTwDBLkZDvF1tbuNrfMwHBBOLDNi2wSELot9bIupyKRNDLir+hD06ZZFfXLTthzg8OUYXIsdV8gTJEvSkipDpaSZMs5umjzj/COezMI9dc+2LBJ6OkPY0sHUXKkIkaZ/h0mOKpI6gig9oZoyUgtZYPogTifgmf7PeJ8MHoROsI/+d5juHQt/ViseCoSOsc5iGiV2uNPWFKt00jzPprZ/Nzvtc/FaP3u/QL6flaKECyrcf6SBQ1Rg07KxJNO/RCNA2TTlOElgC89cZNXtx++rMP0Ia59eizj7lel69fxXjLO9OOUo1qkANFhj/VQH0aoh6zDGNq4BbH0FpjFNanF0cx7y6SFN0AS5wBhUgw0omIRFWQEZod8XWkGAWUJoxHRWg/4I2bl9gc8ytv30AWIM5RkUAFQs2T01Mcnvg5cP/JIT5+5J2Hc60wCvcXeYqrIdm50YRV2fUjUM0W3M4337zDEM3x6RGaQLiLtuV5meYpu1+QJoZ3nLPMDE8AHPN3E3JB5VOh5nGRZSlfL3cNfjpq8Ylr0KzmqMvKW2nKBZ4vnqPULZaTDNlpEb4HlMvoo/P40aPYHVnMvZpkeSSqRfQbVaQ4+tyBYg5LIr+u8svi3GhszAOrhW00TzNe95I0Y+jU6YTdG5QTECc5zJLQ/0S41LEgEeGNdCvOpyxyQLW25kwEZjZnUu0kSZGEfSpRGjrQO1kHtG3IyescTuddJhyHB89mPO9Mm/F11xr+BRbfV1tIJiPoUc0caZYAowiN1jCzGpiFYAEHmMB00AjfqTt37nAf/8N/+D/lyM179+4zxPnk6TM8ferfc3x8jAf374f3VHj+/Fmop8b3f9BZFglHR4/ZUpYKtoFEuBi0TXSLMkb6fsUlxFPmxN9b6Vsq7BUMewMYFCPew7Ms5/zYKkmgulzNInvQcrnAp598HNq7xeOHD8I7Fb7+tV/h/h4MPTz+nbbG954d85y7ceMWtra9PrF36RIu7Xt+uiRLMQjre5rm2N3Z7xoE+jW5TF+DBy0u/mmSQKluMZEwl2y5Prt7J85Z9lUBwIubg6fjYGqHPCpio+GIU07kec6/l1XFC1fTtL0Nih0aTdsrlzSJtm2f1VwYeaMPjYnJe60hxK1rDapYN9efCzcI3iHyytiptTBG+IKIFBxnTPfx0b6ch1MIO7yjiN1IUNc6B8PfiovcGbhZMNTLvpQwDIjQRasoF+9zVhib16FPYdImAY2QsayguaaB6/wdyxLtym/AiiCYyMn7qoVvJC5+Q5KgautAXcqeJn4DTfT3cK2FccAc3k+l2+gkrPFKOJ9oo/XrHny1pkhd1PdciHDRGwMXfOM8Be0iSMD/W76Ker+fV6ceZCafeAl0mYjQewgXAyPSxzkXE1P7Q5xv/TJNUIaNOdUKI0KAKQQXkfgcSYirB5WfD6fSGrwjW08qxWka16kk0UhDmcQ060EmJsxxAGgReQRb6wDhl8Mt5vy86f6kxTjszX5ZV8Tk6p4KpZu7cn0+u3acPz7jd5RSMFqhArDUDmUgrF1QixIWCEE53Vx0to8lrkNF0WfRcmYOh/i7R9m730nAQQTJewgeKw5G7juijkYZ9mHz+0H4Nlk4igFoXXqmFg6m+53A6afIV4yflyyEPfjNGk7J5awSfpME6G6B4f8Et5DOSd31UpO1orw9WNRaGAC10rDIACYQtuBgJ5ms3jlWGqVocfgbDodIg7I+Ho+ZW3Q0nPNBcrlcssJjTCMgzr7iV1Wl2F9rvtYq+gA2dSv4CVueG3KbsVYqaA4tK25Ym75RubfGMU1R07Q9Ba2jprJCQVssFljM56EeLdOOdMGEUZ/wH6ydw9IYrvtAOT4o5FmGUYgkT7MMeuyzFyHNYHd2uLTJK7puxNptZCMb2chGNrKRjWzkSyWvbEGrymO+vrSTsU7/xq0rWAST+8PHT3Ey9ZBSrhQStnoNMCp8hODWzjbGgcwxSTTevHuX35vl0adkenLKmuq9zz5GXXvt9uT4BKsAMy4WSywCJFRWFWYLf23bFsvAhkwUyegAwmi8g+5kMhpus1Y/nx3BBBhWAShDGqbx9jb2Q37EpjVY1b6M1lnUTYjccA5NKRichdlV6xgNp1RkNidiNAmkiIkie2HA8hrx4CBPP1aryDSdEKvciuJJUjuLNkS5labGYe3byRFght0JBxgHNmlyQLM4jSfR+SpaxNIUyLvT1ohDhodJjsG2v97RGW6kPo/kIMmRbm+H+ihkIVkzCEgF23JWtly/xeNHMKW3lFX372Fx7OGheraAmYeywyEydRPQRQCTghuNuX2MMLOPjeETb2YiA3a9KNmSCNP6/4c/nCZjP1YbBdTdCZ4IbXs+15O0SDRNEyNInz/HKsC7y+WSr+u65v50zuEkpPjKsqxnEZanVMkyb4yNNn/hwHqxE3BfjLAw+luC06zID2sFhJRoEidYxfcolUKnkeTT8SneoZEUGc7wKXk0KjhJ8/PHj1GFPh9vDTlSOyHCaODHzPF8gadPPZlrngu4LE1x+Y6PMh/msb8rJ5jJkzghZKSgEkfyRGuOHlVKoSj8XNda4/qVS9yWb925xu08yBN2iv7Jh/eRhXH4w598iifP/Lj97MEBnhyGdTFNMBr6b0yGQ1zuInW1xviS5z4kEGqnQIHQNE0yJMEycOXSVba6rBZztGFdtM5yhLJPwt3B/N6y0PVLKVJibW/vsrGrNW203mrH/mR5kTFikaQJBqEviiKHDutqXdVQwR/QGouD53GvmAuTprLRvJXrhK0dPWocOVaJeC11kBkGgJQM/2NY9ClNOnEmwrZwNRPENlahCZGUbV1htfRWlLZc4dNAnJ5ohbu7fh1RRLhZ34luIlnKVkI7yNk14/FH7+P0hR+fO9u72N7aAQAMxlvYuezzlVoiNKFOxgHPxLZRt4nAZ6Lfq1zLSSt0o9qREtYyh5jj0/G8giMIwIpFUmDs7OzwnBwOR2xBm88XmIc99fT0FE+fPg6/z/Czn/7I18G0ePbkHr93KUjXvUtBWB8ozrOmMTGnax2zAVkxVq21qOqYWaMsBR2X8LK3cv0SbSbdMhx8lLK/3/I+75xFG/ZwpRS2tjoXH4JzNVtQq2rBa/H29jYzP1y7ehW7wRVqsr2NPKxZWZYjyzqi/IzLdCYzxivIKytozgpW5TRnxWZQZDyJNFFMkQTHA1orhTxgrzpRuHLlin9PkuDu3dv+budghWl2tVxxJ65WS6xCxx8cvMA8+DfN5nPMO2brusEyLPDOWpgAixERtrej3xkEjKF1IhJYGzThmaYq0aRBCbLjXuh2a33neIbzhr/HE2s9XEhGfdBFEJSMcBEQkpOm9Gj67yVclcz1AmJx8hqRMqB1FjWnS0LPl8MK3y23ErBwXcdNuW4YztCtgQ54YkEK47BBD3WKQejvPMmgOsWbCDoVyqtYmOvWxM10VQJBgbGzGWxQHO1sASz8786KFElEcKygUVjcQpEHBTdEQuDrFGAOJ2tsdH5oDTp7ujKW4VKxt/QiVs+T8yJby7LkxauqRCocAfsAMfWZ3LRe9q1etNIrlKn37DkQ53l/619f9F6C6jbTHly+/o0IsSZagdC5KNSoA8TQNi2vIwSvOHXPdmneiCgqfgJiS3ScG7Xp3uD/pwcB8hyyQqmNlA1aSwVNYTyKzr2jYRF9pkTC+PliBV369x4ez3Bw5MftbL5E3Yj1s01D+Sz7WDmlkWTRz9eKBOAKitepXLCUm6Zm5bxtG4aKnAMza5zhnROQo1rji+yECL21m/vLdZug99nJ2Z+GWHEzrUGaxYP2GUi1+zbFLBQy+rVfFmKIsj+MXEfSDwAo9Fr5w/+24mDhV+iglDkL6rJHtDVM7feNerXE7MQrl4kirJLuAAiU8xX386KxfCh20LyGHp3McHzQZTSJiddbJEi3ghICQtPRujigaqNCYSUTPuIC7tYasuciIMZxV7/16MluF1lfA7p/p2n01VQq4TGTFwOMJ36+jUZDTmN2ejrFccgg09Q1Dp53/F+ePyx+Jh4qDVquQtO0PA7rpmE/VGsdGzCMsZwlyFqHqoz+aE44nBiR2k0eNts2ugoZa5mmxhjDChoRYko0pbC3K0lkI6Tt9RL/fJokyIKBIs8zdr1K05QP2j5rRUfXEqlevohsIM6NbGQjG9nIRjaykS+ZvAbNhrCotCVr5dvjFKOBPzG1t65ibyfAgXWLJmiqpnFYzL0G3BiD2dJbwJxzuP8vgvbtHKYnJ/yNw4PnbLI/nZ4wpLSYLxjudNbABsveeJTj7m1vRm6NxXzemTGBkrn8fALjTp8tyxgpleaZJw0FUBmLNljmKMtAQTNO0hTFwJtBq6rEbHrM33ACgtKCd8b1TqaKHV39d+PJhq1HFE+9F8GdVlhNjCChzFsHFd4/MBZJFxUJBx0gD1OVcAH+TbIEk5GHHxMQrlGIAiOHmyQcVsUosQ3gggVua5QgD89s5RkmwdE0VxoTHSymSgO26wBCu4ht09YxddXpyZRhlRcf/IwjN+dPn6CeTX0ZW4u8CdYtZ5F0kI4SljmloQbR2uH2ItxZTMZ8Itfz0hN9Ahi6NEaBDQuoQJhqk4zzrpcamHXZEYh6eTalSAvFZ599xlazsizZOra1tYXLl33Ej1IK02Ah1EmC6dTXNcsythr7Sp5/ClNi7FxkQVu3+NH6mBT3xd+jpTNJkl7wQD9epHsmsoPLZO6OAJXE7zkVyzsYjWOycJ3BwY+TqjFYLP0cL+saqwBDLMsGZdf/KUAhnyZlGShEUb95e5u/9cmTBUfbNs5yXk6tW+hQiUGmMci6YKQMl8J4UZqQ5jEvapZ2wTCAMREmbIwGBSjkk3sPUVa+Dh989AgvDn1f1o1l6x1UJN20ZGC7HINKowhrJ4Gwd/0a93k2LPh0rrMYXQ0YJmuez2aow7c9T1VHGqwiAbh1EeEg8pYBgSZ2/2jahh3Lox0zWNwC3JnlGYrCt3maZQz7WGuQJtGCNquFZczGYWyM4X9o4XaviaA7SxABFsJKKqyWO8FVgojw9beu8HtzHVNUHT1/gSa0ybPDI4brDGUoQ/R5vZxjGXL3mtUSNPWEwkprFKOUa//03gOux4t8DNsFRO3soGM6nk0rtAF5mGMJu/LvGtQa9STAdUqjzXXXHViUwnou4GASJkKyjqeZ45jR/rwmAKqDOK2NTP/OcRBEz7vebzTdLeJvEYpMEw2iDqrbxmjkrxeLHSgKc7WqMJ8dhicdFrMT/oQxpfD6b9AR+jpTMtsDQbGHhlYJBw0SgPEoRrfPZgsuayvQFifiH5rW8Lva1vDct1AxC49VMKZD0BQGwo1hN0DaBKAo4rgdDGIE8M2bNzEKAQB37r7BuUqzfIgsUGh48uvoKiHX2NeVV0/1JPYHaxp0k3aQFd7MC2Bve4Ii94U8OZni9DSw8ZsWdR0UtLZFGRSspmnw0Uef+Hucw4unMVn6fHrEEFbbttzRbRMjSBIdfGIAFOkA1674Ba5uLNK0o5JwaI7jgipQLrRtTJ6tk4TN7K2p0QTz6qosUQSftwGGGE9ClEhN7DMT7NPxGmINhUhBJT/eixiL91xMurhGHBrEilcq56CDaTu1DnlHAyJgHFW3QICJFAHDTvkEYatjZXYO2wKarXWc2D6wxv9712mMgg/NJM2xFRZsTQo5MzxT9JFygBWROY3wK6gOD7lf58+esYJWHh2iDTlItVNIRdqNVDil6JBYHFqBTBe6Dr+xhgYajIrIKN0YkI4pStiNL8+RBLqCWicoO6jAOmYtcc71SEhlv0gF7ejoCKdB+epnw9jGOEzy1WrF/goEr8j579me31maZXEs9OCcOI485cXr+DhEeG6dGJoIYkOMkZfrUcZr2Iv/HRLmd4IewfWg9zTP4wajNMM1pnVoGt83VdOiDtd1azgC0jhABUVA6QQUrvd3o3L+8GCFDllsWiMUyAhfpFpjGDbMnXGOG5cnXdMgyTuqCqASLofWiuhv67gNnx1McTrza8WzF1Mcn3jfpiRN2I+LKMLSFpazrUA5pOFgQQCGW5HWIUlTqADdJqmG0t2YNAz/rpYrzvBgjeGxo5SKdAd9DBvWWQG/xDXImpgVwg+ELuI44fmjE81QZuIcsnA4M8bANIK65YVQ0NbcBCJFC4HCPCMozslqEamM/PcjJDosYntev7TFfTBMkkitsZqiCjDl9KDCovL9YalAGxxQm3KFOhgM7GoJqnz/kdY9lv7To2Puj8PcwXRZKZCBwvy1ZQvX+vdWyxquDmOkqJBUoU7KwTBk38HwoT3EXFIQ64qA7qQyFQFcIDp2hLks0ileCLBdcOjjMmhCFuZulmmMx35dHAwyVKX3lyzLFXZ2d/i7phGHlzoqe66N5a6oYToaid8qpXgcERFHllqxFno3B3Hgs/H5HoUQOSgb18WunawlzhyitcIw+Jxqrdg3FACSJK6rWRrH/fb2Nra2fX33dnexu+sVtCTNkaTd8wrEe6n/9xeVDcS5kY1sZCMb2chGNvIlk9cIEohaqxacQAlahrwmoxRFlx/RGo6waNsaZeWdu5u6xjRE5bVNg/nxU36XcjFasK0rdnrViWKIIEmjE2OqFXMQ+cCFQFKXauztem3WWAeDoNkSsLt7CZ3GnRfRKjHY2orkjlox4auta++MC6CxDstAlNo0NUeXOecwC4ELhD4EqfnXcCIS1rR4do12j4sIaaW4XvsTPzwyhDScRHctYRCuLSxM6KOhIWwpX+6cMly2ndWLcMVFzq9tYWKXLDpNY2GbAA+dLJBV4a9pgipAKeSAFdugCcoIuEyc52oVrU0nB4ccJHJ6cIAqwHtU12DHWWGohAXz5JAi7i8CAYErDURwi0V8vshgO6fj2SlcsJJqYS3UVQ10ASbDHDrtLKwE3UETqn+ukY7p5WrJjq6L+RyzUw9zXb16FeOxt87sbO+gCObw4WiMydZuqJ+FbYN1U2scPA9kkwRcvX6DrR2ViA5NlMgrqVUv2KSXdkyY2dnkTsKoQn2urzNRoAxZRrIiItsLCuoGooTpXURnooQfkjTnv+WDIdrOalbVODn27VYbgypYc9rWIR94y2MxHGE08u2p04Q9MPa2I/nqzihFHSBRN2/RhvVolCsUgdh4d5RiZ+yf2d3KsD/x1zrRGE58JLJ1wGkZx2rZxHY6na+4DofHp5gGIt3WGCQBdi/yFEXRORanGAd4bjweYmvi65NnqUi0TqEvwwm+KNiCRsICSSSjH8HuE84ZGNOZ/DRH9Dn0U/bJoKx165pjeCi6NChNUGzpAkeWyseTJMFkSwRlHcb3DoqUyzscpBwFmiaa6zdMMwyCZU4lQOB39c+JfMdDG7nnypNTXkxVkQuQwkEFaFoXGXSwkGiXg1yAoBINFWDmNCVc2gkMA0phqGOfL2fHXEmzpWDCGlAe1hzosT2fYhACDogaKATOxvEYdUABkGaw+VZsZ2Edsy5a7Gxr4vdcXOOV6HOHaM0mGNSu4fdaF8mJzTk8aBeJhLoJiIFYiPylRA6jkW+nLE3wzjvvhM86aIq72YN7n/IaXS5LHoenpzOsAlLQNC2jVUUxACHsR1oh66zOsAzlO9cn5G7qCHcqE8EamS4z0dEC5pGCQCasFUbj7nuarwFgMMx5T7hy9QrrBlevXcNWiM4djsYciUykILwHIvRKa1YwOrMavlRewwetr6DFSBLDdBHpcASooBi1Fk3YyJfLBZarLtqywiz4mrVNjcU0wpre18W/rKlq3uh0EikHlNLRNyNJkIfw7jTLOYpMJQqT7RBVZBxaoWLs7F7ib4wmwxg+e+0K0hCVREUBFcyrLx49xOFjH17cOIvVssPCLcaBxM8YE6Es9GFHaUb2hI7iWiyuvcAc8cy5yprYSJW4f9QSitAZey1h0oUJW4sGHUM6IVFhcqkUV8OEUA7YDYl+4Ry2EkHrKTb3qowROPl0gXQZFhUNNGFStMag6SASA6CK5c06BQlAk8b2mR5FiPP04AVH9BVpiqybXBAuDdax6Z8s0OVXds4CgUrAAcBiGaG3RQ4KG4ERChpAHNHp6hYIioKyBnoQNuxUQYdk1GT7+UETsRo0dc31WMxnHHH85htv4NpVH708HE/Yl3E4rLG17RU00zYoF14xISIcHrzg6ytXr7GSVdUNt4PKNUfDkVZ8bUz0xwDFKEf/z5h1galewu88JuUcB6KCZk1UvtpIjQJnweH/vSEr40zDRhNeK6MW82IAExbzqq5RBSW5dfGAYAyQD4WCFhRepTWve3s7EabYHqVogoJWLivUYbyMM43R0C99u5MU+1tRQbsUrpMsxe6l0C/WIV9EaP6ZcJl4cTLlderw5BTT6bxrDqSdglakGIVMBINBgb1dv0GPhgNsbfn6pGnSU8JUEvsiywtWZvwm57+nSLEvlF9DQvvD9pQvmWNQKuFG5PeV/5UdaI0VKZwMr7EEQiqi27ux6ZxDIhKqS/ebIk94fG4Nsni4zqKyNhkMsDXoCD+B4SgSOneuB9ZYlC9iRpfVyYzXTz1uYh2V8z57ANQghW6DUtbmUKbLupCw326RANd3vFKuAIySCOUfnx7FdssHcGHOL0+PGHa/1C6wZaNrDZ9dFnM0ZSivcVDjeODsTpw+2lJEPVaCf8PFSMBEp9AqZonoxoJxLZxQ0LoTi3UOsHGd+3wRLjmu+49X5i2/x7KCZooc77zzbrjHYjlf8Ppw75PP0AYdYHZaog0w5dHxDKtwiG7baMgxrcKgm74JQEE9UWQ5Ytg5B51Iv9mSh2vbEtNpiLM/0izxlE6h7F2baa0wHkeFsKegCePNlSuX+fmrV6OClqY5dNIR7WtIQ0IsIHr79evKBuLcyEY2spGNbGQjG/mSyatb0M5YcgLEIiO0yDFBYpFrNuUrDbThZJEkGtsTf4Js2xqjYIUCgO3tISv5p6eW832qJDp6Q3As6SRqxmk2gE79aTRJE4wnk3C7g9PR3nj1+nU+jexeucyn1nx3B6pLZaE1bNB6y+Ucy3lwIq1KVCGiUCuN4bCz0hmOaAKAtlr1rAZ8TdFUTcIGQ8IsLIJretKHPuMNhXH8hS1HGASr2RYpjLrcjypFE3TxhAiZ6tLlJCjqzlGegBBFRwj8Mp35XESlom74384CbfCeVgngwliwxkRONetgy4ijkTj9wMWTduYiI1WmEzjly5VlOUeFKWNhghOuI+KcaB7i1NzGqo7WA3e65DFVqwiV2/kSrvMgF/xDdWM4d51zFi6MYWs1h7OSoh6MLTssTRK2OAwGAw4kaduGYfAkzTEcBZg+TbEVICHT1FBdxKtzWIY0JKQIy/mcT3TLZRkhThrCdVw+lHFdjTFMABlq7+9RGkXejVWZtMZ/p3f447Ea7WARyARISYJQEtZ7h16Yq8zRKVgzJeGyohiFVtd1JNrUacip6V0axmNv4RiNRsiCBU4pggl1bUVgxTAjNKG/97YLNGE9ubI3xDhEpA0zBfahh8UiRP3lIA8twY+1zoHYOQd9GmGV09M55+/0FsAAo46GyIJ1fzQaYDT0ZR0OCuxu+7VpOCwwDkTIqYiUJaIen5S3Zvo+TrOM27ypVmiD+4WD5JGMQSyKEHEfrNlQZHSviwSopASU6THO8KxY1ajPXeYEeagkcd4bxXXx7TtXmTR8ZzJmy3OaZTwWcoGKKNcgcd6SpLRi6NM5oLkcg0G0imMqH0bLh5krtuSrLAeSwLO3LFGGuWjmR8AqRFErYFyEdhPEpc45PJ2mYs7FgJOha2E7yKxcAQHizNMsWleUhQ3zz0KjNV1wWT8K3zUrnlzLoxcxnZJKeJ5uTXaQh0A8CP5G41q0trPsxhRSPuzxcyDOLkVU96yI6JR5e7sxaE2LkxPfZm3T4Gc/+5Db6YMPP+Znnh8c8XxcLUuODG6tQGUIQICY29Yyr6nWmsnVAcCRiNIRg7hpYppEYx0PdevismMtBBqnkaYx4GYw6tYQhSTt9iPC9k5E2rZ3LnHAQpLkYCJ6EdhEEDBY32lJXJ/j7vE58hoQZ1/l6NSLLIsQSyvgj61xirTwA3xVDlAE2+VquWT267qucPJij9/7xlt73CjHJ8T+I2VVcQNbU/Pgy7KcYY7BaAvZ6CoAoMgzXL3qmb+dc7iCqKC9/ZVv8EC7+c673CmlUMpmVcl+LxYOdbievXiBg2cekh0UOXa3/PdaY7DqqD+cw8HzaJ52chMjxfT1ShHQkSUK6MHaSFrrnyF+bySujDJpLHfiNUsYh7/u6gTDYApvKYUJD2WkMUo6P0ELtYzQjYxArBHHW9KKKNBlxYqRcSW3rEqJ/T1sa2A5wbxFW8UFwhRxyOVmGOFZR1yz0ySDyvzvg+EEWVB+TV0zqWFb12g6igYiuC7xs3PIVyHiBwCeHXFFFqdzNjerquG8nM5G37gySXy2BAC62kYWJrApEqjdEKmmqAfcSQVNKuo729uRfbwscfDC+5RleYGdwEA9GAxw47pfcOuqRN5FlzU1PnrcJe8lnBy+4HF7ulgJP8x99s9ItPK7DLz7QBcRaozlqMg0zZCHQ41figVRMeR4Q1wIeyeGuBCRVhwRBUH+KceSc07kPXRoa0FHI/ysNDkkoe6L5SnK4IOYDSfIhn6Op3mB0WQ7tPMAk0n05TGCZLqT7ZGCC2XaGhUc53b9ygTbkyK0+YrZxEEWx3M/dweWsNdB2qSwH8LprXN4fFRz7z99esDUGk1d89y8tL+N3R1f1tGgYAVtUBTYDXQaRZHj6hU/DhQRE4ECQCPyGMqcsHmWczLxarVAI/Ids4LmLL+rd/gDIt0HPFzdjwwn0S9h7TCCyBdx7SEiVkCscwzzWWtRCyX5zf3oj/aHv/0eE3vujidMAK51xr48MjdjOztB/cK7lyRaYyfAaiAFFSiVHBwkHzGyeJgvn6RYhPGgjmccils9O8TssU/irlanSGZ+Tc+KDJevXA5l0rh+d4/r9OnBc54GObX8waFbMY1FMZ9CBQqj8c42toJ7RKMNKgQfbGsxbQLNFACjO7jSwVWn3FZH9z7kQ8cyy2C73NC33kLSUb7UBgh7ZG1rlHbF7+L92sX8w1L6AZwutp/wMXXO9gwKSgU6rbbEk8fed3y5XOK/+W/+W26nH//4x/xWCXdqrWPEuHWeJwcAVMsRvHXT4OjoOBZLbHT5IB7mi0EkipZpWI0YCMYQ6wzK8raLVGuMtvwhL001dvYnoT0I+XDEdb1x6y1eb2/ceosVtHwwhgqOkUolUIKtoLu/39rRgPJFZANxbmQjG9nIRjaykY18yeQLWdC6UyngNdgO7nE2mlYJlrlOtHIc6ZamCZ+ilAJIRWK6tomOrpPJGG2As4pmKDTxGIm0vb2F7S1/Sp1sbXlHanjNeCvACM5ZLAOPmc+FFZ0Eralhwul+sWrRhG8cz2ZYBif16eEhFiEAoKnKmJ6EiGEY6yySzpTgutQa4RuCh6bvKkjnXHX/ernGLe9PAXQ0ZRkROgAkUcSRLP48FU7Rzgr40fYIdq20lGjFJ8beiUyYwCUfF5Ti0BkFYoiLYNAy2WTfZVymyNIUoZvxcIw888/koxGSwDPUJglb0JTW7FSu4uc8PNQbq10L+O+xV7yLJ0Ulqu2cYn4mDc/pBgAJaQ4koF74Y5/7TELRRVEwYWTTNKjCmFosFpxz05v6o9Wru8c/F06JAE6npxHirCr+RttMeG5Zazj6zrkYYdk2DZYhRVaetwKC6qfe6hFfXoS1XyTi3t6ZUUTAEPqwpoQ7TVOzJctZg44KWCtiZ/I8zzilUJ7nfTNA+GAt4W1rOepXRnVlqeYIMWcTTmPXOodyFdrfKRwe+3mvlIahLorM4WQ653Fs2obnU55qdEaw0SBnWFRa0Io8Rx6gujxLuW4+JUyERZwV6YSs5TEmee961i95qVTIMXreWI3XGoj9vTYvOzhKPtsLbFIxD+IZF2jxg+2iFwGo1QLUubqMCiQdX1nio6T5xWFCGmVhw5iwVqMpw7uUBploKfWuNV5SFIzuFImGs0n43UGFfkqsQdrtTeS60ChkAFTnVkPREkek0CjNPHOGwPx1iYpEsA1F3rYaFrXr0rY5jAKnnklT0CgEO4CwYMdyh+MXS+6PZjGDCWuzpi3oEGGfOoOk+54zDAMa28KwBZX/47/PFrE1284Zb/b+cxf52/g8tR2DATg63TmLLIvchjqpeA2SUcny2z4nqHh5h2rAuxz4YhBbVYnQc93oGwvjP4wxcc4YAwp7RWsUr8lai5RMSjF0TETI8qGYZ2tQ5gU7el/OhzhfV15ZQZOBCMbGxaFtHScLtjZu9goGRRIaAgQ98ebpukih6AYAT9KZ5rvhCYfZactr7te//its9nYoGPe9fGmX/VAu7e/j0iUPEYxGQ+xf3g9latnfp2kafPDRp7HspuSy14tDjh76+OOHmIfF+eNPP2NTa72METhFkmInbBBaESfZBQi7IbLDWouHeIyu81qhoGmIPUURFDqI07LPB0jg83Agips/+0CIgbHtgDT8+1KaYCsovHme8OLfNIZ9t9A0MMHsb1sDs4wLnRZ5OZPRgNvJWuGpJBRcl5CnJAGgixxJYOBXrUWShUWkrtCEvJqOEP0BnffV6xbTrcmEoZvLl29AB5jRpIq/UbYNKtsl8p3j6MAzgNumRRsIQn3oekcr4OBMZEtH7eKia2JuuNqauKFRhJszAFuJ7+9Ka6zQ5dYDDsSka0UYu9zEbt68yQSLP/3p+3jxwkdlTmdz3H/gM2ikaY7BqPOXNEyzYa1lWgHnHH70g+/FvtHxG9uTAhRyzeZZwsqaVBxm0xM8fOghndFojMkoRKophd1L0c9mJRY+WQ+ZF1QS1Xb38bXqom0doktSP+pqlKbc7ocvnkVy4ukhloGF3LY1kjDuR4ME2yFH3nh7F1du3AlvBRzF9ulg9yMRYelEv0x2co6q3N8dYn/Hv3O2SDBf+ve8OJ7jo4cHXJePH00B+HyUN66FZNfO4ccfPOLeX06nXIcrOxNW/N6+cxWXL3cwdsH+qlonDDFnWYrdrS7/n0Mi2qxtIsTp/czCpjcaMfGsZClXpGPIPxz70zrrRI5O16NckFHz/kF/3dQVb2IOFIlftWLl0phI3ePXB8OvSNK4rZgHce1N7u8hC3Qj490URYCu88kAaYADV02DKjC9zxY1pqch5yMAO+WCA1ux3AnA68h4dJUPAbe2hmitb/dHzmC68HvCVr1EG3zCUjIYhrYagtg9QrUuJLr2vk0nWREjyBHnSZG07ANXpZbdahuqYY1fk67kDl+57g0JrhgBN2/yew9K/z1rDP7ozz/huTX95IdoA6H49dtfQTHwc3anXmE7KH4HZoXTJqzl1gQCeS9K7BEJRXiwk/OVMy/RF1JA4sLHMM8K3L7t52FZlvja174eymBx//7DGOUtXR1geR02rci1a5PojS0OzZ6ctuX3dAcv5xwWCzHHLzhA9A4ijYUWRPldlgYH4jGodYJrYW0BCFeu3RZ+nyOeW0pn0CFK2UfDnwUh+2rbunL2MqXurGwgzo1sZCMb2chGNrKRL5l8IR60nqkS/RQxvUhD9uCL5ntFkWhO6wh3AmBYC/C5CDvzY5IN2Gl1OBphGCI/i6Lg3F1JmkKa/qUWz3nJACxX0SJVVSvoNliNbAMK1hnXNjDh9GLahk3NUDrmxOuResZThwr8UfL7zFnlf8C6/DzZ7g2iCdtYy5xvqdWRXNjaaE0Q105AYgTAmWjFg4AfPUcP/4PrYGSUj7OwwXKVREMV3BrfWw9GdRHylDChcxHS8Wa3aA5PqItA1RwFZq2LYSBEfOojUIiSCtYxyQWmRNSax17D75EzTCvFVj2tNJ9KlYjG7drnPFFK8VhP05RTOilS0epGLVQdIzeJ2xNIusAHAFme8zdloIwxLUdKWRGkQ5AnYQkFOtThe1rrcyODX1XWU4/Jd8UoMsAIHkIjIsqqsmTHdglJKKXZGqeTlPM8+rknxiiXI5beiJOzJwGN46uzJFlrOU+fExZupSKPnBwrADEvm3PO952Lz3TjKNWKLZhaEghTLK4S0Y9KkgcDIk9mVwG5hshrGSLbtUF0Uia59hL4fo8AdQM9QmvchmLs8bW6oI/PlKm77perlmvvcgEb4PVyvuAy6GzA/GrOOQ6/Uy5GoxIElkUyYhWcCgzwY6prX89F5p/JswyjYDkuJ2NUgZczSTXywB+WJxo6pOtRWcJR5Q4+TyRn87ORScAh5uU1INgOnXEOVZjjtUy9lbRIouc9b8COfMos5phMNLTt1jpi62qqFdIwxrJEM0piWou6jeMiTgOCFUE6ryMSnHN+sfa/izVda82BUc45TCaTyGd5OmWLbdPWMbWXeG9v8lKf2aBHlN09G/bW8+py0XpkhYXd2jgmnENc33UiSGf9XDrPleC8dIt/lfLKClqaRToMJ3xHmrriBUBuSIQaussFqRJmhDapQpr5SBljDP4Hf/fv+He6blD5BsgHlkkOv/bVX8ckRG9tbW0z/i3zj7VtwxvPcrXCiwOfwLUsK3x2/z4AvzD/4Gfv83j4za/dQBZgj0mRYBgG/uL+T/D8vo9SqcqKE+7evfsG3vjae77sbYPVKmQPIGIfE2st8iRmOzidx810qGlNsYu25K7dHOyFZMPR/yN222G94MTPD5YtR3FeG46xFaCUZrmCCfCtq1u4Lnu8dUhMxPxlLri6ilBwJTgTrMDjFzpBEwb46XyJ2akfF3uDMd7cCdFQicLIbHPbLMtA5OkcGhOZs4+mJ7zB7CiNNCgzuS3YB217ZwvjXf+u+XyO/ZDPslws8ay8x/XATlgw4FArxxueEoSPBMO1bU2Jjl16kI8wzP179y5fxt2rAY7XgAoh+DU5PBZwvoSN5MKxtbUtYEKNO3fuAgA+/OQzfPypL2/ZGMxDTtKiKHDr5i0AQJam+K3f+D1+p1se83u//d/+ERP5Pn74AHk45LylwAt2ooBxGJPVKkMRYKemWuFH3/+e/0aeY3t3n9+rswhrO6EwS4hT635ezk6sjfkbrTUcqW2twfL0hOvxREBen338EbedaytWKu688SZ2Q5Tr3pXr2Lvi8/6BNCiJvmAyUrRzgTiZiX5Zlbz4t46QhuwBW+MBb7BaKwwCNL9jCXevBZivdZgG1LxtDf7iex/zt2azOX/jretbrJTduLrPmVT2dwcYD4PvXKGRh+TLRVFgZ8fXjQCkjO44VNJfaz+Onbap0FGT13Ucq85Z6PDtwXCAXevdRUzbMDzW1DUWorxK5OU0pu2tQTGnq+E1K9VRQe4OzICH9bsoYescWoayIOgKgB88/YCvV//5T9nf62t//hWG2t/91W/g8g3fx8X+LopLIbK/LkEh4s7aFo3xrhKGDA4DwbmzDh/+NI6pYTpixffW3XcwCJF53/qd38G/G+hsDk6OcHQaXFhOplg+fuKboGmRhE43zuEgUN5Ycti/+hbvG8dHT7l9VlUFG3yyp/kAZbh+XC+RBfqO24MM6cc/AwBs7V3Gb7zzXugChysuKpM/XZzwvLv+xjXWdvVoBBXG/Z3rW9i75cfPYd3gOCjAB4dH+PSzE983rcFqFWHANI2UJK8rTFAtlCKlFHZ2dvj3f/AP/oFvJ2vx1ltv8bN/9Ef/FfvU/vgnP8Q80AbVVcXzXpM4FCFCsx6O78aUOHQ5x4crIOYu9vVuuYxlWfEhuCnrTj/DqB5wROZ4mOD6tTcAeLj/jTfe5XeNBjEXbp4X0ViUJNHf/JcgG4hzIxvZyEY2spGNbORLJq+ei7MXpYVofkff3BizyQNR8ZVQWITIpBABJPTF/jf66UpiRFN8rzGWoUxjTO+aTfxwIWqkM+sLR+g1KI4PlqJOsq5rbpX9iryiXGxwfrkpet3BU5bpPNjhzDMXXVP/ogdZiT/1nEA7MzLiycaK39cYw6KZ/Oxf+mWX7+r6XkSzyXvkmPIW8whx9s2RMk4uDlA683ssK0dFKuKm8ub+l/WRhPrA5eJS9Maagsx2KvuS4eAz35IuBrKfzh97BGmap95clFYwBZw7Zi6K/pJjzIq+8dcmXndWsrVncAY6oDPX8ns9GA7nwxxna37+PRLOk2WQEIsYrBfM+7Nf69dHfu/8Z86bu+fDKC+vd99Ngs7tRxBd2JcC5X9l6e8JcQz2v43edec4IWFmDz+fM15cPyClN5nEOFCiXrIdaL0AiI/z+q6ES4RSDG0rHx7hr52PQuxepbVmElSlNTo+S6V1hK+1ApnIRSfnjLS4W+FuQmJurI+A8/pTzpL1vQzn9scFff8K33rZPZ3IMgDe4hpTNAp0TSnQOpy/9l6/pJ83vi5ej/qFWS/X2TL6tfcsjPk6IudsP2DhnIJ8AXllBa2WpsSmRFy8YoWbxohBrNhfy7kariPRQwIiDyEp55AmgRyOCG++9zZX7C+//wMmPPz403soAsw1mWx5fxwAj589w+On3tR9PJ3iwePHIADlaoXHAdbUSmFvEqPW/sEf/j77Nbzz9ptsrjTNCVyIjjk+WWAUiPE++fQpPj32ptnp6RzPXwRSwyzF5ZCrj0BIVCT/vHHtGnfWcjmPPnAyh5hyHbPeWf2OB5OLdBVEnFhXuqA8qlasROiVw6DTWeoWbRryjDU1dGhLMhaqy+S6NrClgtyWEW5pBcRZ5wWTJn4wPcaL1puwHyzmeBASyV+f7ODrV28DAHZ1ir8x2Al1JiYlBMCRZoAnB+5KM/3sE0EDbdj/IB0USAcdfCkXKodEtFOqOkJLgpqM+b31YMzwbALLtZ1US6QhejLXKfIul+Cywr0feuLFOtU43A+ZI1IN9dWrOE+IolLmXIRR93Z3cCmQnY7G27h9500AwLODI7z/8f3uaUxDVK2uGv5dEeHrb9/meTaY7EFnXfQWoamDiwE0sgCFyM1m//Il5CH6+OT4GH/+r//Mf0Nr/Hd//C+53X7td34/mvUHQ4acZ7NT3lROT08YVqhWC1SBwqatK1Qr3//GtDH7hrU4nR5z+5gmwtp3bt2E1r6v7rz5NgbBt3Sys8e5So1zWFUdXFPxykdEzNQPICRpBm7cvMK/NWUtNvXI8r8oa5gTX9bd7TGGI982l4oCV/Z3/D2rFh8+9BBVWTV49Hwavgu8e2PC69S1SyMkISrsxo1LDJdu7+5yfVrjOFF7ojWGwWenrRucBFcMACDVRUKSjzjtoHmyrHiYtuKISaUcM/MPRyOGt5fLBWewqNsWs3l0xej8IAGwXxQAjLZ2GF4aFANWsCVliqcb8HPWokVjo+LdiXMWraA6edrG+T6r49vuf++HyMK8fufDD3ApJI2/cv0mrlzzbgVFnmJ7HCmZ8jSsc0S4HJcn7Iyv83Wt2MMLQwvoEAm4qxXGwV9569oV3LzpicxhHJzpfN4IiY15f1eifn94vOCKHj0/YMXq+PQITfCrO5oeM6XTfHqIecjfSXWNZzPfH88Xz3Hvn/w//fcADLvIS+ewc/Scx+uNOzd4//zB0RFmIbp0evgpkPi9dHv/Km5f8+vQ8TjHpTCOZ7M5fvDjn4ayO6xCfl8pr+KP9nmHik6kr9Z7773Hv+/v7/G68Z3v/iVOT3057t+7h+NAM3R6MsXpif+9qWusAkG1hDKlIWD9+zJaU2a2GI/HPGeGoy2OlL906RLefudtAJ7K6523v+bLrgjDYofrURRj8a5Jz2/+oja5+GD1xZW0LwimvuZZa82Ecu5Jk9BL0Nyf9PK63zlswREneOlwjLWOlU66JLR6u3aCfxWN+lznQdf/t+QtCn84c+2A2Icu3uJcfM9FA8BdcH3hTS8RUYTu45/zvXiusS7+y4rffd1ihdinofveS60F/plznZF795xvvXBr//aDLF6LX/sOqT2n+lgOWe/+93rFPbdK69/gMSicUS/qJhdeGsfUxSe+8+rRq5N47swpVY6x3rqytjh2fWCFBa1nTZN9Zs/tv/XyKiXbRJT3FTaS9Xrzb2v1vci6fe48pgva2HUWmO57F13LcXR+nc+8uPcRrPX3uUU/t+wXrVznWR76a9PZ97q1ufU6CMH6Sy2iT01/vETOPmdtb+yIwvZiJ+S1N4Cd3w7nrQtEMfjAKXAGDHLEwQrWOY6PcM6xMzngD/3de5XW0B1voopGCWkxciIYRK5nvg3iPkWuz5mpzmnr9T6MKb1IBFT095AvLq8399ZFKkzrFrRz5/qrlOilFRKWMvTnomI6GtWz6l24T+P8uSWvXzfoYv09ryIbH7SNbGQjG9nIRjaykS+ZvLIFbTaPZtK2aVi5TpI0hqQ7qWXKCG2H6AvUcm4+gDDIRuEWhx9/90f8vAY419uzp4+Z7buqSphgFp7OV5gFhvQiz/HmVR/dMp9lWDz3RKB5nuP3fuc3Q5kI77z1FmuxP3r/I4YfP/rkYyyCefX50yeYhewBdVVjFBIaj8aR4iPLUpF0GhHidA43r17js8fHn3zMZtjKGDbxJ4gRqKR1bENrYRl6IEQCSMGQL9q52N3nvsgNIQt/K2clTgJBbOYMMn6Pgw6pB8hBkGOCoUSgb6HyLOde5s5wDsxH1QIPKo81lKMhssu7vs0owf0QAXVqWlwNUYoJCG8WMRrYZvF8oAWQapoGXaSahUEXwdas5rAhPJ4I4rRJDHEBBNtFMBFwlI24Jg8GCh09rZ3O4QI0cWN6iq0ACe0kCbaZaFOhiw60gxxVfimUuz9tegdkK/LXiT8YGykgJqMxxsHkvj2ZYDtA8PPlEh983EUc1/jog5/y87PDpzxunz55ztDBG7duIkn8OKR0CEp9+1pnYTom7qzAOOQRTYoCv/HbvwXAR1N9/y+/w984fv6Ur4vxDo/Jo+Mpwzj1asEJulPlM1YAgNIxl6TSGnmItM6TBL/+G3H+Xb1xk22Xk60tbiOtRHRo26ApQ8SebWFCxKwiim4TIDRNl4WEQKEN7ty+ETvDOu6Lpo3uF2L6YFUDj1/4vncOsOGP82WFn336lJ9dhchnRYRhofmknijH0erGGm6nLM+ZYZ1UAgrQSKJTLlNVVXj40K9TOtG4c/cmtxMpybwerZbW1JyZw8HwupokCioQkpYrQh2iaJu65uh25xxOT2O+R5l4fbKzx+utbpuY395F30tSkV2/NTGxdVdmwFvDFvOYi1ilu3xtil2e489WT0EhufeTF4+gngbY7v6H2Mr9fNgaDXB1fxsAMNAat0MuTu2ASyJ39niccn+kqSDYznN0LOon4y0swnqdjsZIwzqOwQDURSSmCdqt3a5CKMad+w0w2hqgW3GuXrqLzrZh9Xuc8cG6hi1iZWtQdXmDywZViA61psZq6WFt09R4/NH3/betxY9+/BfRr/aTU94/R+NtDML4uT7U2Jn4ubyop3j02MPXxWgb773tI8Cn0xkW85D9pmnxwx/7SNqLkKj16x5lirB+XyR9VCvuITs7u+gG+7e+9S3OYPL0yRMehydHx5genwAAlosFjg5921RVheeB2Ntai+MTfw8RYXt7m78xHEbG/8lkwi5LW9s7TP+xs7OPrW3vXpIXBcYBTidSTCwN8u4i3T+2tmIUZyoovD6vLeI98fq1jc5CvliQgOQakrqXxEVcz60vmlzFf+GiEufQ94mgNC4G1hj2iWiaGk0TQ8iZ8TpNmRdLK9Uz/XbJpAnUY89u2pa/uVxVWIaNvapatG3kTZHm2ItMs/JaprPpi1u7igvw+XBp/L0PR4geVzoqKo4EhBh9R1xP3epvUBLX5CxI55m2u74QAJ9xDqbbOBSBOvZyp9jt3QhfAtlmZyBOWmODOw9dEjCqhza6dznOyuAg2auBVgzJCoDpNhhrmSyoMhZNl6CZLKzi3YkHqOQYs2sT9IzZ+gKoqBPJAJ9qzezsVZ3EyezQ4++r68gsbwSc78366sy1L2u093cmfq01+yE5a3vplsrVMpr8k4IVtHK1RBPKUpcr5rJymjg5u7IqJg4WyjMIPb+nwSAuqFleRBhEoFmSEd0JdvHe2iEaVfZGIrJhyHc6REXDiLXJ2ai4WRf7tjUWbRgTjeBu60b/eXCS7GSfXDqsFVp5Z3L0YR/pMC7h0Q7ePN+lYX3sofcMF4rvF9euHxRijemtKefBu+TkR+RYPz9YYf0bRLHvZWMZUT9jDSiMqZQqJK7jpiKsqnAI1hpN2EyNcxAMPXCZ4fdSbz44VtCsTqJDPlE8VREBnV+kc0A3H4igBJefIrFUJUk8UCcZwBk0Et4MdWuRBr/DJqmR2C4ZfAWExOlto5GEuW+NCWtrN/5adCNZOcvfViSomoxlbjHAIg3rb5IkfO0Vvi+Kc57/3EXKyhn4VcW+yLKM52ZRFLzvVoMSden3XWOMT+EW3sX+4cb09lS5h6dpynMqz3OkwS91OBiwD+hwNMI4UDKlaYpcGFb6NH/xH0r1U1Nd5K7wVy0biHMjG9nIRjaykY1s5Esmr2xB65i0ASCRp0BrBL1CZJ9XJJwcFYHCeYBgQRRM7iAkCCSKBKQqprl+8vSAieqyNOb73BmlyMOJPMmuIE0DRAoNBBP/8fER7n36mf+0UvjhjyJU9LOP77Oi/OjxUy777HTGFou6tuhS6E62JxiGCLjr167g8iVPwJokCSbb0VSaFxGq7YgdAR+11bVcXbcM3eWJhguVSigez2jdNiqdnzvqAsEYvXf5Gp8gtlSCIlQuUwfAqYcgNDmknZnTWk4cSw4gE78nw7+NjWzpMhx5BYu6O+VlKaB92+xcv4ZByDGHVQ039d82jcGLI2/ez6BwR1g9JDt1q2yEoFIdjw46Q2cKiTSzfYgTiMYLR4QqnKIcEdTt69yG6fXroHASqx8/ggknt5VrkQTYaKA1WrZ2aKguUnCYw07C6S5N0OoL7NaSgZ40f9vnjfR/a9oWJkS/klLYD+S725MxticeFjPW4uAwRvidnhzx9TRN0AXHHRwdQykPF2xduoQmmEHzQYF8ELN0dG1oDZAHeFVnA7z1tidntM7hR9//Pp+Cjz/5jKH5/UuX2Ap29fI+Bl0UYtMw3LmqKxzNF6EJFE5rX46iKPAblwPsSITJ3mXut7pp0Q0/JWiSSSdsJVCJZuu5dC52zsG2cey2wfJRVpGgc3p0Gt0Lqpavm8bChA+vyhKrMA5q47AIEbFNY3BwuuJvdSdtIg+TMMSZppy7dT6fs5vE5avXuBzj0QjjyQ4AYDFf4vCF78vFYoFZiHzOsoxP/MSWpmjp79YplRBbPdu2ZatQ29QcIds0NSfO9rlTu5IoYYmgXkRa20R4br5YwnQJ4IsB56Rs2hYmuDQsZgtMj6e+fYQ1zRqLg4M4Vh1u8zU5kb0jnwAIkGWqoWyIOq0rHAVI9nRW42hxAgAYJAmmHcRJCjcHXaQ2sEPRIrKlsxi9Rwm7PoyyKbIQnZ3oBGkXqZ1quED0TEpBddk7iEBJbCs1zrk/aDhhi0ox2YEK7ZgOB5EIuCj8/wNIlUaedPkbAT0K+UytwuQrX/HtZAyWv/6r0fp/esyR7IMrN6GCZenOe7+CnRseypw7YNGte06z9Xd/a4RvBTeG5WqFJ48eh3suhjXl9XkQp5RXorlAf1zkecbX+/v7nNVhVAwxGfl91FkL+7aPsLTWohLQ/EqwSEiI8yLLWpbl/LcsHyDNfF8Y69CG/U9pjSLvooSJCfBBwKC3dgLnZe94dRGW9deEO78QxOk/FKGbbtL1IChQhNJcD0nrgW+KTHyP2HQ927BvlERpnnSJTjHIfcMPhgMMhp4d2hhCY/zvq+WSlSTngHnYOBy831rXStPTGU+IuqoYuvULeVCekgxFUNDyouBExzrRnIqHiJj6wznHZlagM7l3bWV5k7DOQcu7LjCnngtxiq5I0ww6mIJTpZF26V7SlCFHnwA8PGAMeKFxAno+M2ElHBtVI+/bFH5XCgi1SPMcw2BGbrFCveomF1ihAxwEeNhHxCGgVwJDCEQKkdcMa+0kyhtRc1jdRU8RqIh+KDQaxiTSRREjUJMEJjxjlWK7t1PECh20AsKC7RIFJ23jF2Gz61BKB8M6ER5OkS4i0Qn3pTGGlR/nHFbCB1QqKnXTgMIcKssKZch6odIEqcu7BuJnrSP2NXLw5n+gS07c8DiYnZ7y3Njd3QGFA0ueZRgFRaIsS+6Dsm3Rxlw4sGER1MYilb6aacZ9WLf23MWdZLtZD3V1bcVR19YB1Iceu3p0Uld1VNDKqKBVtWEFbb5YYbHyi3/ZWMyrAHUbi1UZkzULJD5EpJHoiwCbmxZkQx/bCEtpnTB0s1qWfBBsm0bwfxloCc+KiGNrHYhi/SKMHeEr5yLcZc9sJnI9Ub3f5drkmNXeMAt7KiBOJ9LktKaN7iViUzfGMHv8uhBiFDdUwmUhyqC682Pbsq+taQ37H7ZaY9al0SLCPBOH4Db6LyY2RjMqWCTdvmEB6NDWpGC7NlQKWMVtUAmlleQcH8ZxS4NxXJ+WK+hOqRuPkIR+ptEQygQftjRFGhRK0oQ8KLzWAnU3/4zBaGvC7Vi1K1bQivEQSe73oOFojNG4U2hi8ZrGoi47JV5jZ8cfwtI0YReK15fPh/Neypkm1ncJ7adpxq+uiwqDussMBM4q4KQbgnNMuQV4X7PPi7DscbDpFLo7ZDRxHdBK8V5NRDxHu/L2Yc3X1Kx+QbKBODeykY1sZCMb2chGvmTyyhY06UzsBBTmk1n7S4GEwSlh+SDFkZv+BNrBndSLgNsep6w1726P2YL29OljVCEqaXGaYVD4Yu/s1tjZCdGdtcMiJEKfzWboUEBrLA4PDkIBgUSc5okU57LT2nIZ93YnrFnfvHkdN256IsThZIzRFQ9xUppC7+36ujqHZYiYRHfiDBVJ0gSp8e9aLixHeSkSsADFJLv+WCROBNy48eedrWjiHRYjtvJMJhMMwik8L1sknem9baDCaZeMBelw7cC5OOEAJfpY5jtLk5xLpNsKFGDaIieMgj1t79JlXL7m22l2dIzns4601GAa7ing0Egbr4onLkt9mLJztm2JYiJ0CJH/IMHyT0CtmbUWpoxJmfOTBUxwZNeVgw044VgrDEJEqUYk5qVEw4ZkiSZVqILl1qYaJcX2sbVgzVQqzgFKeQ44l7KV5/DoEC+e+zG5WC5wdOivtVLI8pD3kAijkEcQBOztxZyZ1e2a58b06Jgdbj/99FPcu3cPAJAOMmRFONk7gCHO1qBczsNrCYriEnDpdsxFV1ER82QmBapA4PnsZInDubfSHR+f4PjkGADQ2pgQejAc4s03PWHsYDCISd/JB/ZEh+5omVLCWuGDDeK47EYJCasSKQtQHK8dgl9X0Xv8dLbgOpSLaJG3rWXrQ103sFXIIWocbB2t6OxKQD6pti9bf+gNBwNeQ4S3AKyLSenl6dw5h6Ojo/DtCipYB5VWSAI8RiDk+RqMKgJiOith27YMRdZVhboKBMJVzUnpvcWtN1liGcUcPzk5YYvDqqri3yhBE9phtapRBsv4crHktrbOoQ0Ri8YalKsIR7k2WtMaUQznap4PqYr8Y4PRNoqQMzNxBlkgD0+cQxOuDYDDOvZzexItHE0WOc5qnXr3EQB1njAxrkqp8+uHIsc8ZooIuTBLKWGhoipGpqISpO2LmbDUxOABpRO2iJJSQFijrQLqhAc9aCcQojpP0svfvnUrfi+fAGHdckixOPFloTTDOMyt1gJVF91LMUF6lin8+lfeCG0uUZEoL4M4Y8aNl1jKXkEIiidplmcMP1ZlhSoNUdSCA4+IOEjAoZ/ftYvOBPqBhdZGK7JHXvjj/O00T5m0WymFPECffo6KgBb+MsIa7uRPr1f33rh/vRe8BsQZR6sRA9ev+92CS7zQ+o6Oi4pycZntqAuA6LLjHFAUmt81LDKmJViuVhGmNDnK3Bdb6QxZgBxXpcF0HiIyl0v+trEOs3lMFlzYCBXmxVBMKMXh0sPhEKPQiVeuXMHtO3d8ybMMSaBEQJqBdnzorjUmRnp10XMMb2gejDJtkbGWFxIZ0UTOCcoI0bkumm8HHVYOIE0yjhDLR0POuJCOppw9QJcls4QTWY549N/qiu0YVnLOyS5CkhWxfJWFClFWCRHysIqNRiNsh4XVrCpWGq1SqKibdC4qosFs3P1TDCMPdXZtA4K5CE0Ub5JQqdWOr10bFQK9qqFCedPWea0QQK4IWUcRYQVMTw6u23wTBZN21/0yOZE4HRTheOeUaFPLytpiucRB2KSPj4/w8MED355aY2sS/Gy0xp1bccHe3dvnPtje2eNxtFosedIfHh4yk7nOEiQdHYiArE3bYhWY5ZXS2LsUWdhv3IoUNMOTmD3AETi1/HzVwAWvyqdHUzx/4f3kiMCM+k4lTLOR5QXDtoBX2HvErl2zkSSZFNHITpxMhDjh7woXY5alH2Ul3CRWqxVst3C1UeszjYkZOlrHipsn4Y3f65Sw9UDJNE2Zwb82/TJxSjoiPvA557AKh7m2bXqkmRf500iST8AIODdGt7dtw5uVEUmj18loL4rAK1cr/ltjYz2apuFxW5YlliHTRVmWvfRM/G1jWDn0fxRpjWC54TyEGtaFJPoSUZYiHwbI3xkMuuOZaWFLv45b57BsuvUW0A14vGQu4bZKU41UxXndKdCECF8qAFkoh3YOWoBKwtMaaEx0qRDR1bYqo/Js4rjSiJtrLzoTDrPO60FrjO7EOT65di3uTZMJ702V0YgUthp16ds6R4I8rFuNM2L9dD5TDbx7wM0r8XD3OtLnYUBPSXs1EZH5FMdeohMm/k2SJO6PEPOXqDcfSECkcm7ISPe+i9VaWbvDTqKRB7iYiJClEdaUc7QXAr6BODeykY1sZCMb2chGNtLJK1vQ2iaehLw5OlrKOs1aIZ5AkfAtIBHNBqKebiu5dxKKJ/293TEr7Fcv7bNF6+DgKZ4/8xaA45NTPH/uT/A6yZDm3lxsrMF+gB+NsZABd4uVMFXrlMu4vX2NTao721sYhO+NdrZhwu9qUMAEUkMkGrbjkzIGgpYHieBuypIULhW8XBz4YMXpIkI3Mmk7Nwy6P/t3Xrsa80BWrYonGwGVriicWAFoY6ADJKABdPSUxK7f/jNMnSu+tV4+qxRbNotigEmAAMfDEcahzVaDAmkHrxmDBTpoQmMlkpensbtRC9N6Qw423FfDMeTonIscfMLK5uBPjf6a0JgIijaHz7kNVwvitCu6LkHhdF+uFrCNh2Ja6liK/EkvH4U+HmZoizS2gbQSCBjHWmlaN9ymfgr4vwyLHLu7fny2xiAbeGta2zZ4/MSToyqlMJ/FHIpIoxWzrCN3l3S6B4E5Auu2hluFeakid5I1Fm0YC0onnnQ6fMOZltt0f2eLreYvXjxDFeCsVdWgDnVfzmYcyDAcFNje8RbU/b09vHH3LgAgzdJIBgmAnGE4UsKazlnu234SY73m2M5VhdJK/LuD/eLJN8/zGAS0rNB2juyIqYUgbBM+8jy8j4R7gbCIgwht23CbG9PyfVmW80nfWss5S+u6ZgsTEWEw9POkqTWWy9DHigQnmg86ilxPGVt8fJcEa0wTHfKrskZZdjyONeoQdV9VNaMPvrwiUlu4NCRNE9ejNI0WbAtQ6PvFfIXFbBneW2EZiGqtdfxtZx2qUsCatQwYEEENwqoEF6Nql+TgwrwcpArpILhpZCl29r3juwJhR1hXhpVwxzCRKLptGuZpbJsSqvEzW5cRudEEpJ2FnQh1h30S9ZAMJSAFuTwnadzblFbcTxkl6PKWevtusL6TQ4gjgUo0EAiWQUCbZBHCF3ssiSC5tqpgjR9Xq5NjDsZpTIsyzEXjHJZNXDObsLZJtxXrYjv1Yc111kwhEvzgyxgV6Z8XELFke0Bc7K2xfJ+j0A7h/d23iYjhf+ccqg5WJvA+DYCD8wAgE9Cn1gko9KXSmomilU4Y3SGiHidoK123+lrK2tX51rTzDIxEMSCMqN8+ryKv4YMm7f1RiZDJSp21cYGzBNJddUT00BpiwdEw8P4AxBtETGx95dI+++Pcu/cp7j/0YcNFccRw3/b2Dm7c9Li91hr7ITG1c46pC5xzePDwAX+7FFjt5atXMQiRNlvbE056nI+GcGGDsYMB1O6OvyaC6aJx2rbnX6FsVL6yNOWecw5xwRBRXp45nHcAuN5iQPxsd31NhPA/enIQQ7O9gx8Ar2R0SqOyhn3QUiIMVOfrAmRst0dvI5TdJFnNDRHTg+RFAQRFbDIcYRzabzEokIXQ9bZpsOj8n0AoZd+LOtUiamdJ4EWsdI590Fpr+xFqHXwIGR0aI80cgPrwRdxsVMvPZDBsPi7NHMYFBYQi/JFrh62goGGQQoW6WoLY4AHYqJ77OR76jCJsrEnzgjMYZNgNB4iyaZCFsd3MZ3jy7HmoiMNjsVjtXr0ZoZtixH2VZplQgByzdddtw9QTWilkWSSu7CAaZx3TNPh6RMLP/Z2YEPzF4/uogyJxerrAqvLfWNUNbxCJ1tgNh5dL+/t44w2voCmlkKcdgbHzkHMQJaIIWxOhO4c4FokEvLG2ZmqeJy4eIMR6lOc5bzyLZM5M4QaCZDU+6jeFbvMUv0OsSwRPN6FEubv7BmnKvjLWWlZq66aJiz8RZyMpFbGSSYrE4u2Tmnf1TtIsRoo2cXNrW4M69EVZ1ajCdVU3aJrON63GMlB/SHHCRw4AtCBCTodD3jS9Mu7LMZ/PsZgv+b2rAHcaY1CGTAvW2p4fYKfA+4+KsRZ5yNFaF32RnY3RocMM40mAyosMOyHBuSLC9XGkNcrmFa9Vq5Mpr7flyRQ2vGu5WnHmkMQ0SENZFKKCpgDUYvNPRESnRjwgqSRGjapc8z6X5ClDd0QJ05h45SyMCzi48FqrNSiNSkWbiAhnit/ISEGHBqrnKzShfWfHx1hMpwCAxhiU4RBQNw2OTjs3BoXL1y+HckTpsf/3fNPOhwalYrKeB7mjdJHGmu57cX4LWNiauCcCHFkPocB4BS0eduomKvqZOJQWw2FMZJ5E0lqQiusGKSYTBhFICbVHaNtnCchjReLl6+YOje+R168qG4hzIxvZyEY2spGNbORLJq9sQetpjeLSk426s/eAYpCAQySbJAI7h1I0g/rrhN9dVhXr6eNxgTRYAPb39tjJdjab4UXI17VcrlCHU2OaptgNFjRC4F0J0nE4AcD+eMxlvv3GbRTBkkF5GglN6xrLkAcsJWBwGshplYYKUIUzJkY9OedzIHZtoqLzs7GGIaWEHJi8V5GPcvH/YGgSkBp0bNttEcX57PkhOr7OJEn4BN8owjK0YNM2aEMOy2GWY3fo20OTAqkAcjrA1fGUo4RlxaoI97RasRWQtOYABS0cP7VOIt9YorAMTvSWLI4FHGhUwrVq0oT7u9bR0lgaoAmnqgYWNXM9RWuRg2P4CoTo9A3AqNh2VkXoLIFlUuDUldABhtVpwjxh41yhGIconyKmKnFE0MI2bsU06sP3mi1oiqLDbJ6mGA/9v/Z2tnArRAkv5xO0K3/ytcbiOAQSEFHPiXtre49P52oQI2xHO5dRBtNj2tTMHZRoFbmQnONoXVIKRUewDO8w372ssRK6S5i4cVnWwhqUI0n8PTvbWwy97+3vMXegIrqYyNLFk7wktZRQmDWI0KdsWzgQRwFH+ETCLXI9SrOU3+AP8B2Hl0Ub4CDjwFxuwt/bBz+JwAZrLAcU1XXDVsgkq5B0FsU06zKJYblYYBbg6rZt2H1CKcIwkK+madqDSIyxoM4S7BznxnTCti3bzxgbYc2ywnLhLV1lWWIVoiqJ4lrooa+W2026MWhr2YRtXYysa5qWIdW6ahjKNMby7+upnoyIslMiapuI4qeVR1wAwNQGtg592DagsF4MBxkmw8C5qBPscz5FwtblvRhAtbPFdTLLS8w44MoqWtDaFrpzLjc2pneyDtRZ7+Bi2R1Q9wyBcYxpESCUlBVbOmtKsAqWGuuIc7xaAqrOSqsVHHXQN5Aupuj6NhuO2JI/TArmB5ufnHKU7OnpKWbBUkZ5jiRwgiaasB3IX0FAHfJy9iMxwe2ECyBOZx0jBfLaOstRu0Cfo0wm7NNJ3M+NkcEttsPq0YqAFmMMShEhW5aRKLoRHbAkYREWOXx1EnNmkhLQc5Iyv51SmoOWCATLjBLgVJH+tQr9nIhRXjcSkwOi6fWffWUFTRL4+a/5/5HY8hmzoiTmDJPAE8B1BKrE0AsApKKB57Njhisu72+BdJcl4C5Dkd/57nfw0Ucf+YokMXy2yHPcCqz2WmvcuB4TKN+5e5e/8dbbb7NCc+cbX8dgy0Ohz1YrzMNkfvjhx3h87wkAYLRaYT9s0jpNMb4UYFRro3nUWVS25WFKiqBCpE3bNAwrKDi4JPSc1ugc5RzF6E4Cejkmu+ubN2J97n12j32p8jznjbFMNE5CIY6rFaanxwCA3a1tYN/Da6nW0GFSO+vQLsLkcA6oI2ygOYYPqBATjqss5SjaNMuYbT7NMyRhQ6/KBCchKXIGhYeCkuIKRdggHW+Bgkl7iZaZ8udViTosiAsYrMKYqNsGy9qX1zqH2kr4RE6spdioT8ED18qNPNI95JMRQ3KXhinGV7wyrBKNYUeVACAXNMOOYlSt9DHQOotReqS5X0fDAqNxoEYZD7G/78fRcrHAfiCYrOsaP/jeD/hdpydTrsdXvvJVpm1Q+ZD9K04aAo09DFSWJW+aaaIx4Hy0DrmKC7Nq43VdCT8kWrHP3HiYMzl0XTW84jiVAEHBv3n9Br72ta/5+8dj7ARXAA9rNvwNmWlBwtVWRJp6KCzMB9vG5QUiOwliZKWEXJomHjJIKz7gFMMBsrzbYBRs2BitrXwEHHwmgc7V1rsyCQVPkMiaNkaiLhYrJF05nOLF3zpCXvhvHB0dMZO5Ugl2wuGxqko0pgp10VwLF+oR/dxc9NdzflXobuyWnaZueOOezxc4PvbzvSqruIkTYRIOd85FvzH/quhmkRrLym/bGt5gymWJZYA4q7Lma2MsSgmXygwFddxwkzS6SigS14JctiprNGGTntkaL5zfpIfDHIQuEX2Gm2/c4jptfeVNftfuaBRdASCWgrIGBZcWtWqgquC7VVWogi9d29SYBdoYawym4YDknMPi4ITrUZ3OuOHVagUKDaSbFoqV03jIMNagsWJcinzOo0fRYJCNRlyP4c4e01E1ownScGh8cXDI2SqOFkucBGPF5Mp1XPuKhzKzhLC/vcN1evDZTxAqwt/qKWvSN01QXZi25chn00bjQtu2WIVocZlPFuhHWGqRZLxpW6H4RQOGtfGQ0DQN5vNIz1SX0V+8yx7kHMLhw793tapie+qorHlYM4yDvEAW6LV8LuKc258zPIA4YxDgx+faibBrLfT/cKY5uT7n3bOBODeykY1sZCMb2chG/g2X1wgSiFq25yw6D3aImqT0FyQKGimCw7mIIjSCDJLQxjc6C3D0nmFakqLIMQlO/6PRmK1pIMS8dG3LEXBKaxwXR1zCwXDIWuxoPOYT7/DyJQyW/iS1cg7deUe1LTLdmdY1m5q1UhyNRs6h7aKVnEOhYmRlmiSADKTooleEWdm66KDYh4RINHCEhnuppAj8e9M2MaqrrvlUW7UNymDBbGBhko6cV8MEAk5YhzaNARvkZNqZKJY0TFeHRPsUSL5BGPax8MSlANA6yxAlCDgVzp6jPOWxsDvM2TFZB+YgwJvru2gz5QxzjlkYNBGZQDSy9y0qEm7xY1aML4ahYzMnSkEFODDJM6Qh2EFr3ePzIhmZqIRpXEb8iGhED/PHdognLstNmKUa4wB5NVmKS8Gy5t8l+sMamGCValAxTNI0bW+eRutdLBU5MLkpANimg/qApozQQa4rhjiVUlAhz+1kMkESuIOSrIAOlqHLl2J+vcGgEE74rud828s1e4G1n8QfpQsFEKcSwY8tfkakiOHfZBSeUvwanWok4UVJa6C73HzOAU3sI/GiHsSZ6EQ4EBNbmJrWcIRzWtUMkayWKyxCJGWa5YGI15e1szorMYYI6xa0SKwr4Vwr2rbHRda2PNYkRAlICNgFlKOz8liQi9/r0mhZ45j30hjLz8t0UNY6jhAkUEzNhb7FoNev1goEidCFAjnTRgjRxWhb07RYzHwbNlWNF888uTMpwsH+pQjP7ll2Lh9lGa/XiXWRCzJN0UVY6kQj7dbD1sCG9dBZ69PEBSlGEx6v9XzObUqrVRcZ5HHQrk2M8dZf+P1Ii7RtvO4AvNYAiGnlALi2hQ2cjVVZoVEh2KFusAwQcOkUKuXHT6ELmGzIdSpCcEXTVGht3HM68TBjvGarmY3R1NZYto4ZYzh4Q17DnZNaTMCl4sd1M5O4PbYHc585Yb8m6kXNOwE9ViK4RVrndRr5QZVuYbRY80KdFClYiq5XncsMAAiyAW8R7gxzko3/lyCvnixdROYoFRe/LE17hHKdSAVNkWZIhoiQ6OgHsVrFCBDnBAWGq9ARFthmxr48N65fwdVr3rx9Opvj6Njj66fTEzx98ggAUC6XOAy+aQDwiQjF3dra4rJfv3ady/61jz/FJBCtXr5+HZNtf502Da4EPD8bDjEOJHfQmvO8tcZhFtjg4Ry2k4y7cGe8w4NZUQylN9ZCBz8PAxt90JzlRUXBCRt9tI/u7cqNOw6Wk5MTDkF+dnSAF8eeguR4NsVJ6Rc3chPc2vIT2SUJ6q2YqLbMO+XFgdpYB2Vrvi5rHX3QRgNO4otBBgQC4VY5LAK0MWtKTF3InmCBHy6fc3mXRTRJ/+5b1yPbuojKpNUSWdh4yqNDmGPfNuVqiRm6sHKL2sRFods4fIaHCKlqYX6XipuyMcfjrWGKS4HYcXztMi7djHCyHOcDYQ7PhB/XRT4GTdOsKYthQwEwyf23x9kAu+O3fJ2Mxa2rl/mdTx4/5WdNtYCp/POHyyPWKabTOc9TrRQGeecHBnTk5dY0qEObOGvRhEg85xyePLzP3xgWcei9/dYbGAXF8dadt5iEdnt3H9t7HlLNBwNsBVjTvzv2B0eAO084wMoi4gbuXQW7v8QoaGOjsuH8SYbf60RkZDYY41wJ70yylBc7SjQrUmq2BHWHlFWDZYgyddYB/HpC0eXsAzAZTyLJtAX7F1XTJbpdbzkvOQpwtawxPfFtvr2zg5u3fQJxpQiXLl3hoioRXXY6ncU1ViR+Jm054rExhteT1WqJ2ek0fG/F/mhN3R93K0EzpEU0XCV8f1RSIQnuF61xrBSvliUWC/98XdVYrTr6BofaxOi7fCBoEBIJ0gjftFZAW3XLsLlpGk/3AsC5Fs51EcMVPp6dhHZSOAyZOIgITx88Zwj467/yLh9gb1+7hkGgXhiPhpwYm/7/7P1Z0GXZdR6IfXvvM9zpn3LOrKpEoYDCQACkCBIgyBZJiZJpUW63WpMVjna03dEP7QgP7bDD4Qj7pcMPfu3wQ9vhJ3U/dFsPandYakmWRJHdnAkCJEACRAGFQlVlVc75j3c85+zBD3vvtdc+/72ZfyYKYIG8KwKok/c/5+zh7GHt9a31rd0RyjCeq0JhL8L/AuTeAACFTOuhSu6ZaFmmhGY+J1qQ5XRKvlLL+RzNIvTVYonFqd+nrNbQszT/2rMZlYH5Kb1XL6Z0mLn35BQm+Og9WjnMw7hcVEMsB95dxU1u4dIVv3ZUoxqvvBb9Ws/wR1/5DSovSpdF2qYcvNqYZDgwhuZx17ZEG6O1xpJFBpdMyayKRNFiGSl1dnCKnQ0A1sGFsaOkJB/xruvI6OGsxYrTY7EI1/npGZ3zNGOa2NnbI3cfrQ0dXMuipAQ2QggIm+puuKMhkj/dcMgiRcsUKdo/DKa9OO0n/fue0wVtC3FuZStb2cpWtrKVrXzY5MIWtFzEmqve70Jkf+NkbdypMONR26BpcpjDWUu8K0KkbPTcSZ2bYEUvisxHkwbHxa6jujTNCuXSv2u1XFJevFZrdDGypyxRBU1eFgVkCHCwWsMFqEjgvNOl4Q7s53oqb69j/eDORcDFPuSO0iyVlGUcQuwxISU54DshKOrGOodFE/OgOYqgEQCENmQCV66jslddm2CcgfERX+hzyLDUVULQ33zUTIS3AckgTlkWBBsmikagsjXBqMPRCKPIq1QodAQROzSWRVwRnAA69cV+SLw+MkGhIlGSSinJClmUJY0vEZ8PbeJkif1cdpuE55mj+xJyHe+KVUpO8M5fx2eaRtP3NYZF+DFIyCJCuv5dsQh+j4eQDJXhYQj/JyVV4gdj0a9KyhS5y9K0KEYau9ETVuTQwZoOWtMP+ZpCRJbgNLKCyuyfatfNHz75lOT5eFUi9IVAtPgI5N+Ot87HNiSYkaAiaRHJczN4iOXPhJJgQ5BBPSIgCrGMFBkpJSNrtr3ou3XXWZ+cj6glawl7l7c2BHjOJFjZWps4BnuIlVvTDv5+pNqE35OLgUOK6vOrvaOrTWKYxa5pGhoni8USReHXgvl8kaAx5wgCrm2KBi8KhbYLMLMQ6KI1VQiUbExXNn113bYpOENrmkOddRQFbCEotMpKCcdRpmilszZdA0CXrDnQFbnDWJ1Sy2npEINcO1GgC64HLRSlvyo7g2WwoK46TWkIbW9f4tGTNF7Y7/4bn58zUuYWoih9axmfN1wcW2f42LY2XWfP9daT82tCqleqo8z2oHWvOr9MZUpHFnVKbVKK1c2xcS/Wlne+nOeDR1+IZkOwCBywsO+yUGyxK8hnxxibERlqFpZbUV5JB4FE3spJLJuuo444my8R+BixO9nB5z73kwCA2ewUh4GuYDab4c03v0PlLaJJ2Tmi5QB87sJYxuHhEeoQ6XH58iVMAhEiV+L29vdxK8ATg9EItz/2cd8+reEe3A+tALrLB/Te49MTltA15f6SqmS+SynZtzEOXUh065nNU78H0n4KzQeAmzdvUmToW2+9RaSUbdcSy/J4bxcisOA3AL72vTepb2LdPFtz8qMDj0ZkkJNmE+fV117HpSsehtvrki9AVZbYHXs/Qd00WNHmBlSXR+Fa4OBnPkcTfffHPkYKdsUIB8uqTr5fUpCSZKwlHyTrHPnFGWNweHxE1//wH/7nNOk5jMMPBqvVijbQ/WvX8IlPfRoA8MpLL+PHP/NZ6h+uaNcMNneGQRP6vDLuy0v96Rhhp1eW0gYa26oU8NKt61R21yYT/2/99u/TN7flLkVSzpcN2i76VyT3wEJYkF3faKCNDPAW3SJFY8EkE//Vy7dJCR0Nd6i9B5evYTcQ0h5cuYpLVz1EZ9l2aq0lv0HnHGy2KCoWENXP2RjHiSN4VSmJKkZG2lxZMDpGg0vUFI3MYDTH81Cm710ViLyhqKsh9vf9mJwtOtQjP0YWqw7LB2fUlxS5GtsR/tuwA8DZdE7wel2W3v8UwHK5wvTEj5HVwQGGYT4Mh0Nc+uhHQz95iokoy+UqRbTPF0wRduRqs1quqPy2SdkKuq6j8dx1HaNBEIkUFJ59PpZxcjqlMXpyOkckCubRrIvFkiI/jTbkm2YdyC/I2lwJdCat9ZqRFGvdMOWwI2UE1iTVW7BN10nEvCfWOhw+TnPu8PAr1I5vfePb5CJyZX/PE4UDqAc1yqAMVaMa9Tj4UZYFkZJLKTAaJlec/RDVDwAH4z0qY1APqX88ifD5A4t1Ei76Rw8HEAe7oR0WBZsbMfG6cw5oE2xopi0NtsP3Gywb/49vP2rxeBYUwvE+9NhDnIUp8SffOwEA7NcSh8Ffr13O8OZ9vx5G6hUAePLkCVOM0pwpmcuSJ25Oh9JB6CfnHAYBiuQUGM458j32FbSknfAsC0YnWqrlckHwpTGaiI0FgDqU53WG5EPGoXnLkqKXVU2Hx8FgiDKyCpQVXRdFgbpmLBJFyr/pmGtM2yRfaX/IDwdUBnFmihtT0JTquXQVSfEuWe7Pi8gW4tzKVrayla1sZStb+ZDJC0Kcm2U98aRba+pED4IQIpkM80i39c51fVMn8erI9ebGp5kecyggr2+KtnTZqcOYZDqOvwv0rSWMuLHXhrVQZlZHsfZ+LtyUK6VMzoxKQUkFBwelVGaSprfKXp/0OwTr/7n+G7PfM7iFPSyyS983ZAWzFAlmnSV/YusSYacQWDsQsh7LxoHsOW/mdXzW85tSevR/f17ywRzXZNc9UziHqThc169jBvVRHfvlnf9Df274SMc1ZTA4EdgMYW3gdczqwd/kUdXzkzyHyfgA6rUlq9P5+vQhzo2w8rq15dz7U79w+KNf5rpnMqioD0VGyDAfhOfeu/n6fHmb6rRuOK+bs7z/Hdb3YbZeurx/3JpvuqHC/A+hkn2IDOn6/N30nRz7A2+T5dcEn6X12llLXF+AJOhU8tyoED7KNdxljE3uA9KyPSt1sI+eTZxoEe6GsxTp6QNomDXdcO40R403zpFbSd4mPu7z8UZrqc37gMrqjcN1v/O/uU3XG+6n/mDPYM3z2TN8nvBx5Hrv7ZdD5WHtPU9bnZ9/7X72PNt0z3mXi2fLhRW0ouRUAmmzLxiTrzGWIin0ckXmfiEUVIBhlFIYhahI5xzmi7PUEBaFMRiM6L2tlgRtSGlRhQij8bDGXohCvHz5AK+//gkAwNnZCfkOdV2Lb/3pn6YyXIIHebJlbTrYQF5470Eiv9Ndl9j/i4LeVVUVwTu+T5JYm3y2zqZn9FGarkMRzOFWG1gkPzkyn1c1keoJgWxDi/W4fOky/fZLv/RL9P7lcsmiupYEeUznU8zmPlpoNp/jyRMfAdW0DR4GyNcYg/uPHoY+cjh88phKns/OCDpq5gsq49HDx5ifebP5ZDDG/sB/i9PDQ3SHHoIwZzOoOOecQEvIuMMfvv0dmlP3Hj8maOLG/hXUgfH8YP8SUans7e1hd28PgM8DGjMqqKLAOEDSQgh87jMjatMb3/g21fef/tN/kkWxRbl8+TIOdj1U8ImPvY4v/tRPAwAuHRwQO75zjkhQhRBEnAgAR+8f5i9co+CVjLTRISmmEB4eTPenedYwyoxrt16i6099dklj4dGZQRvIZsdd8oFRwlHk5qCU2B0EagfdwiyOqU0ty5U42j1AXOWG9ZDqezpbkB/Lo2mLo9bP2a6eQO76PimkQM38d3jEa8F8Q0zX0kLd8TyNugXB6jJBnJAFy52X3CmkVBBVjL5L7+8YhUhfOU8KJ3vGCdKOJBSKUFahHM1pCRCtiQWwWs3p+SIRlkOolBHEOAsbvoucz4FAull1GiehvMVgABVgTVUUuPrqK6yfUkL2xXRGB6x6WJAbCadUMdZBh3/PF0s8epyiHAfD5FagGMRyNk0RzrP5ipSWrkvQjWY+jt5HyFHZMTrXWItV8HmSUmA4THODw+bSdslfyHZp3DvN4raTktJXyIgshvHi2N59j0+n6frkNEWiC8ncZxQUUgabdNgBrUFCCJRVGsNlzaI7WTR4IYsEd6qCkqo7p4lmw8/wRG9iub8dp4rhfmpyH3FXmesDaOf3s9NuB0sb4NlWoggwv6oEypAJ5r4+w/0/9RHZTq8wv+shzuPTE3r93fv3CAbn/odFUSRYU/YOt2ydimTEQgjUdfreWfQiQztNa+k7dW1La7JuW4I122aFxWJGpXEFnvuu2jbBj8NxiqhWdcpf28GiC5B6MaxRhjGpFKOGAmCQKlmUzOdQpnnSdYYpVhYJzu/59MWoZN1iSZRFIlGMCYnJJMHmF5EXS/WE/ml9zYkvuzv/19r712qWz7Zg8EWX4+XRd4Ev0s7FxXSzVS3Wlk5mrF58IFvnMn8Xx9rEJ13/hLGu7f3Sud/M2jBlVmdu9eCTQylFA0jJFEjArWxSpGvrXN4XIneGplN9XlV2ve58Gx7NLDj8EZfe27csrDvdIZd1Gy73m3ChTenf2Cjrns/Hjls77p4l657h73JY/96+leSctZjqmPw2s6TegikOzJ8TG5QWf5071saNB8wJv+dH++x2976xiJV7mvAJuOG9DnxcXexbsLekopzI/v0i33hz/dbJ+g58kZN8KPHpZWDzGNwsH3QdWV2ece3O/WPD0xu+jYNja3d6xLrEg+Z4IIJL9FnOAVJwixvbyBllhLU2GSVg6TBhYImbxicEj36LnNMzkQj5/uQcYnxuOtJKrGMBI+e+Tdrb+M/Jv299qMVFrLN8EOcW4/Xvif/etKeuv94wpjY8sNZwdoE5+zz3rGuDWLP+5dXdvJ+vv76YbH3QtrKVrWxlK1vZylY+ZPIcFrR0vVquSJNdMh+RqiopoTSEoKTTzgHaRX8tYLlKCWmtS6bEomT0G87RCaRtGzLnH+yNyYQ+GSvsTQfh2RrVwEfKtFcu4dKeh9sWiwUehAhLwOH05IS03bJKpmp/8PG/t82SytNaU2SeY3USQuDRw4fUNzz/3HgnEZeWdblW++ZWIqnSyck4h2WIIBEAVBZNGeudokJGbkTv4eSpPPpUdzrRb/R855rA7G+tw+k0wgMOjw+fUH2fPHlEfhqHT54QdDo/mxIxajNd4Ku/+/sAgNl0ikcBLm27FqWNJxOB9ixBjO8v3qXrx+49Ovm+qWqoYL2pqpoIP6u6ouiYqq4xCcz1RVFgErJLSCVx6fJl6uP54SkduyblEJVL2RJigZ99/VN4KUCIn/nEp3Dr+k16L498IjcZIeAYxAnFrrs5lSeFSPNGKjgr6TXRo8W69D2EEBR1LwFyCwCAzib449L1l8nH5OHqAZqQz7F1K+gQITauJAYBohkWQAhOg1MSrY4wDHy4qC8c9c4+dYqqJgl2lxNiI7dOo2kDZN8Yyv9YVyWqUHmHBAkCDpJjHS5F9ZVKUKc6lDS3rEkZESRAxKzewhCvAMveq0OUq+ZZEjIIIlXBJl5UdJ1GG2DGRaNxPPV9qY2l371Pq79fCoGawdV1layLRVmRPcR0HbVBGUPs5abTaCPMbhyWJ37OFVXJwG0B07DoR5XWqaoaJ6uQcbQ2aW3Rhawsi2WLo6PT8CoBFRNCC4mdvWRxOZumsb1cJULbttEEZbadJf8nb2GN0Z0OOpRnrEUT4DUlhc/XSn2d4ChtErxtWA5G/1uEO5ktom+d4UwubB6zpTuLek8W4BgNGqzDMuVpZI8CQsAwS7NkX4SRzMMxklfnVukF3GzNfdCcy8ZqjsowmJoHNQtHqIyuSjgRSLyriig7RLuAnJ/4B4oCnY5Rlg2Ctw6KYoDPfOkXAQAN20uWpiO6l9VqRetJ27S0hvC+8RROcR+05EoghSDGA0BgNB7TOj7emdA3WLWrQHEFzOdzipKsyhJV2M+UlKgnIyqvYxGuy0D66wB0xlHFGoYI7JcFCsTsASlqdNosMe9Wob6SkqILCHI5ggAUGzuKjR0Ph/u/lUVB6Jxkvt3OCoKunRMMRRPZvt8xBouLyAtBnC4zuVpmeGYwHINFzjkh0rW/Mz2bFkKGjITnI4wHSk6spETB0hZF5dDaAoPAIG2MZnxSzqM1rE256ZO3j5mII9xmueNnn8Mt9RU3h/exjh5wyP5wHkLkfZX1bR/uWmOytSYlOIdztHB5JTO2zRLfm2UJ351zWDL6gOVinsKiFwt0kaV81ZDiptuOwq27tqXJb4xJbfa2d7q0XaLn7my6r9FpglhjSfnVRmf0AdEvQRWKID8pJQaBusX1YGgpkj+A7zv/37IoSfErijzMPA8meLb5PN9THD3D4ZaNMDGyobIRmpdSJa2FbQr8VQIpE4AQaeOyojd+eGJ5DnHKtBkLqQge8ooG21j5Hssn77r29fEJ0evTjZDiOoiuf8/T4YNsU0xTAMYkh3FrTEoOzfy7sA7+z6Dg+F1Sayx3s+DMK1mfMc4p6/K+6EPD2SFvzVqRQVAsvZZz5BcnRHJof5pzN1sieve59In4Op7V4ynyNLcO9vymUcDlafesh7PWf7M1D5+77teaN4PvAfk3Y750GbdYby+k33MFzQhLc9wYB3Lk7buS8PemTRm8h8rg05y3gdHisHoYm7JT8JLy1F6JnkkIkfl9as1SlFlLerCxiVpDa03vUj1eMXLd6Lu/rOkzwPdtLIQ32wm+ViTfSQgHG8cBQNdw/XHD3RXYuGcjNLtH8PnbW+wvMqA3yBbi3MpWtrKVrWxlK1v5kMmFLWizOcvhpooU4SSSdQtSplgcaxOFgk3hxEoVKMsUDRdzpQGAQyqjW6ZTRyFAwW1WOzTBflsXEld2Q/YAa9HqYwDAsCyxe/s2AB/N+FOf/wLV6df/u19NpnwWDQKR9F+tU+i1NppI8hy3ALl0ahVCsIjQcB0tFs4RTQQ/SXHqC8fOv13Xom2W9N6KWXNGFYtEoW+xPqm5qCo6RZdlmcL5wU7wcJmJfTJO+Qwv7x/Q9UdeeoXq7SNFA5SymBNh6qNHj/D4sc+zOZ2e4cHDB6EvDWYhMscB0Oxcppk1xjGCV8GieTn/QEYjIiXKAKELKTNo6+joaG3/fPGLX8zg4Piuj3zkI7h0ybd3Mhnj9NTDQ0WhKFrTw48lXROUD+TRV4wVnUMv1pkEawpB8AWcg0IK5xf0OQQQIgqFA+ar1D/v3ntEp9aT01OKoFucnaAN0YILoXEaTDfDqsAiuAWURYGDQMAphMBklOB4zU56SqXotGogiJRUdSLAU8HKSYmtCyBEsAkpICLk71KuPT8n8uMknYxFggJEUVIeQsGIKJ1zcDoRK0fIxUfceQvoZJLG8HK5pO+tdZvmfWcJnms77XNBAmiNhY1Ju0Vy3xZCsOi+HLrm1v2Cw2ilhA3QvnGW5kxrLGYhh2VtgZ0AlxlrcXaSItrL8YDeNShKuLhWGEPEv8vFArO5f2Y6neFs6ufZqmkRF0xtLM5O/e9SSmgbE7UDs3la/9qG5WBk5LScZsM6UJSwMQ4tY6iP10rKHFlg13mQlcksJxeSDdBgZnVmc7Ef5BOf4dQWQiRIRSBnyI97wCY6IXp+fWXTqu7ydZa3N29HgtKKzJKXokCNbojtwEAkFKEeAAPf9vG4xk987CcBAIOqwF/5qddC3zDItyxoHMmyIJJWI4AuwrFsvmpn0YSoSK015vM53bIKbjIQgPfi8M8sdEPXTdfQWDDWJGTDSggTLIVCxRd4t6Hgl6EcIDjBsk59ptN2hnnbQIb1oShLIhDmlmpwC5xzsLSGACVzU9phe2HpafP9dVEQClNVFe0vfctesqA5WiJ9lprnI6q9sIJm2EAqCs6RZMHNyGR+5zBoZsrlEY7IG8immnU2LdjIoQ2KxpcpLLrVBsJEXLxI/lhCYG9v37eB+frwf8dCKErHpZDZc+Zp3qa1PeUyCITbOPsTmzMSxxdb57I0VYr6OQ3EjNNswwIhZPKgsEIQk3yGPjkHpVLbCpm+RckmRFWlQTUcJp+35XJEpm5tNPmzQQLzpfdv0VpDRt8klxj/ncs5gHh2CcuUNWvd2nHgleK0GPO+5Th/Vdf0zN7eHvXdaDQipvy9vV2Mgz+bUgVT9lzyV8h8eUS28XBfFy7CObaRM2Uku8siUqkIB3BalTSCEg8SACxXDdFedJ1mvoYtdBf90VrEdD3SFGgizlZVkHKX2hGZ1p1LLP3xbwk2TpVxRiGqLv2hlyCBFAHqkKCKzG/hXEekjRLM1YH3BF9oLXM3cC4drngKLh7hzIXD+Tm0bxkykT/HI4b5WoHe94o/SyEIn7CpCZ5wgRQF3h6XHTKkZommbWJk5+0xxjIftDQOrHEEjzlnmSJr0XWcg2uDuwb634itvfF+jqhl15uVrT6M+kHJJhSpr6Ctr4cjmN/BQbADoWVr1dPatT4yNo/kz2u75ne2xvXfK5HOqdYZECWJNZRmCi5lYCiUIjqiQV3i+o0b/n0yHQDA5nd2ndWQTV0k2Nw6m/mpScX8JZl7j2kTNN+yhOy8nc45oluxvT2V6waqTIz/SjAFrUt7hbGJykOwOWOtydcNxoFnWIYCW6T3DmqNTMdBmv9RQVMqUYzlCjgbE5an4sNzyxbi3MpWtrKVrWxlK1v5kMmFLWjc5DeZ7JCGuFjM0wlemyzyKTrJVkUBxcjsnE1RMFNmZueElpol664qSe8ajXcwGPq6mK6BCVFCSnYoVShbOcB4qKeUFp/97E8A8Frut974Jmm733nzDehgEo0Jiv21Q7QdqyI5ThtrYaLGLpCZHOIpTMBr7MlowE5kzFJmLDshZ86eCRqWEHTaFrFP0LOaCZFUcwbTyoz0kDu75xapzGyyIXG9Kio6mZR1RX8bjAZUv8FkhOsv3wIANE2D+WxGfZZyfCZLmYND17TUH22bSCyNYcnArU3WquwElsaXb2I8DeZtV8yiUtc19c9gMCBr2ng8JihzUNcYhIABpSTKglnQyJomyXwOpAhCAOiahiw7g6pMwRn8aOyS1UYKIGNEZZ79IhK/OuDw9DH1+59++w3KbXt8fJzyqbYruGCFubI/wXgvkiIKrGJYFwzaNrKlS4zoDn9SjCJYNoeqLMki0wqDeHiWUjJGdgPL8i7G07wULkWKAmAYLoxmVnLJzDBZ4BF7dK3zd5gCobIxfx8QxkF4Z1UPmGuDJojT56oMgSfaYtym68G0pffHU7sQAk2n6UStVLI3CTb/HDenqQKqDrllB0MM9rwFsywrIDhwWwDvvnOHGnT95nUyM1y/cY0sg03ToAmuGU+ePMHhkSdJPjo6xPHRMQBgsVihje1oOywCpCqEgEUicvXWNBfaq+lbGDZYjUujojMpes9Yh7ZLFqaIOhUORJjr7+tHL8Y1tm97fD7zQt8a455hyehnd6G1Xgga5300ok9E+vzCreyx7H5mBlZXm55x0IhUycJpilpVwkAGyzjMErYJ47JyqAs/30fDAtevexL1uiownPjxVlXJWnR5/4D27Yddhybm02SWssyKXhRQkVezUCiqtK6S1d8Bx8dPqA08Z2arDb23rmqoQtG7Yqy6thaLkOtVSIHScNcRxsmoimQxl0yFEYJWjtZo0ELV+95pTU5jW4Ty47VlZuFhOaB2KFnQ8x4lCFZOqVKQALewK0GBjELIjO3hInLhuwcsEmQ0GtHm1rQtmcRta4hdmneEkhKDsAFaa9GZ5EcSfZh8bRIcZdkkF1KSj1dZ1RgMPRzVABS+LoVFoWLHOcRwfiUFbgUKBWMMrl69TpPtu299m8rIyekSNOXTBYVfNWAiVNRbT7iy4Dfo82Zva5k51dkEjTk++R2Hr/Pn+aIS+wZpceJRJfz//WPnlRyOPnn4KW8T6w36l3GMXZt1wmA8wgGSj0dUGqy10G1KDqyblFi3ZZGiKzYOOq0JYsphIJvVPwupZ5XnGSI43MzZ/EuW9DamxQKAQkqKEpZCUAQwAFLKODzt65W+a2c01dEi+XFx4RuVQ1Lug/08tSia+K3DYrmk3n7w8BFF2Z4dHcGEvlbOEhXL3rBKbN8usb5rzSKa0I+eS+MWzKyvlIIIbTdGIS4bPMqVU9CANwNJeXYuV9askWyQSToU+Snw9A17UyReyehPFFOihUzRYkWRKDDaVqGMkcHGogwHsLZLa5nHfxMTvDbJrcMyGFuAzT92QBXcd7IqUY4CNZAqIQJ0Y4zB8XHKSLG3v5sgLikp2rrplnSAm88XmJ55hWs2nWMRqAiaVZtogkyCNX1d0vzjS0GWlYCR91qXThDGGlK+tHGe7iC+i57Nz3yb4D2PaOej7/z955WmdcIhzo2kq/x+7qqC9WTg5+7fVPYFcat1kLh/VLCfWUtsgtsFc4MALFw4LBinia1f2AGiW2xVSuwEP9OqVJSZZsCySIyGQ9oHpWJ7HKshV9CEc6RUAQp18KVyzsGx/fzk+AmVUdTJCNHqBD9KmSgwfP9FA4jzZL8AhE1jMNYxipLJx1t5bSg8zylLmI9jb8+Q4bDjRHrWIX1Lh5y4XSpFa5gUiu07qY5e3+nTuvh7JNEliexgfxHZQpxb2cpWtrKVrWxlKx8yubAFbbGc0XWnO9K4tU4m0aIo6NQuhaW0GYClvHvWObRtgrm4k1/BIkKLgsF1QiJy+bSrRTqpWwMZLFpCJWJP6wT0KuSZExI2RN/BOXzyE5+g+n7ve9/BMkS9nZwcbyCR49o3oFTU/AU53gsps6g+ro3HckNl2G+CKfYCQvB7mNWMBTa0oX4cNjDMyZlb8fot4Oc80ftb/LH/tMv+e/6kyO9XShJXlhQSSkR4zsEW6SRjKxYYMMydS2m0sLxmGQ8d90bGeUviut+5tzmP6JTMwVMKQad5KVI/SuR9ylNAFdxU7bjDLHNMV4o4egS3F0iRrKFIgJ5wgnLZCgEgkgs7oGLvFboBWm9Ba2YnRPq4O5mgCq4Eo/EIk5CrVCKRHBdKojXxlAocM7LSFsn6VENDhJN6LSpwQ2AiZ7TQoR4KGq1KEVG5VYk9y5Lqma6j7ylFz2pGVuTNEXRrg2VYYVIp6vO6rmgIl2WRIspMTfPJ2hSMYazDwV6yDKyWyRVDlelrdl1DddLa0HuLIkVp11VBJL6yKlCO6lD/Ajrm1XQW0+AWIIUMJJjBiiUcdIjim82mlD91Op1iNvPrnNGG1t6yEhiNoqVYZxY0zo+WBQm41PtO2+TYDBGsaL2gBOutIiQ05sUGgBrI1z/6v3N/4nKxiMn1wlMy8WellJkFjZfBA7Q21SPVP70jPsOtccllRsCsCQhYt+jmf4proCZbt1MFM1Fq2LAvFnKM3ZHf5/bGNXYmPkiuZByRPJ9lXdVkQStUka1tsT1SyhQs5hytG4BjBOcW09Njem+zXFIryqpOcCLjGxS1I08Hq01wdfF9FslspZSIy5EQSJH9QkAKRXWsBwl1Mza5RWkIBku77HvF/rPaEBG5AIhtQQiBK/uX6L11ldxhwBgGpFSEkPh7mTWN9adSKfpfbggo2yQXVtBWq7SQT6fJj2EwnKSFoShp47K2TRsXCzM3xlLS6XORRDJNqLKWbANNpJlNs4AOrMBVWRALsYCAFP6Lam3QLqJfkAACxYBzDp/4xCepvK9+9ctYLBbUpgS35lGYZKwUyCAv0O8iix7L4NJsYudEvL23sPLSrOXKCREFsocNj2wzGxaxDXBQVixfLC5mtc/qqfiuLAERM3U7QEZDbYZ25IXY8x1y7ne3wb/kRSSrSvbenHhZrvleAp7QNv2bwfFKpvEiJcGUwlc4lMcgFpdGmAOYi5aDjGH+zqFkFA7QLRB8L5v5KVbhkLE3HqCuvFfZcDTEJEQvC4ASp8OmJMIOFs0sMXRrmeo4KnQyx5eW/CikEIll2xqf/ByAdh20ZImxuULHfQJlmteWHYgEY/6OvRrbvglG4goaT/DMf4tjtCiK7LumebgeUnMOLEm4xcnZnO6P/pUAsFit6B2LZaLyqMqCIoCVkqgHof/KIlBoAICEDfXW1kOWsQ6KKXgGFpFsZDqfYhXg7dl0RhuMtRZF3AigoIJvju5SVgBrLR1IOczuy2cHCNbnxgoan8akrALaWDpM+DKjgswBx94hil2/SEQblwtBn71CMoWecmbmUfrrDgBPU878y9aXTbow8ujQvO5p0eU8BiKDXjXIidW16fBiNT1fSo29sf/+u+MKO4GRXymZFDRW0bpKvsQFc/HgwqmMrDH00awxRFFltMbR4whrulDv0IZdlyA6kw4vsOl3Zyx0m9xhol+clJLGMIDI4AMAqIrk21YWyVXFsMhSOJeR0NLP7HtbbbGKeoJzpLjFiP2oXNZ1Tf2jG03Pc9onIPWvV9CSv3JZpr2C338R2UKcW9nKVrayla1sZSsfMrmwBU0zbirusCcFCJ5zVkMTOa0mjhbrEvErMpRKMAtYni9NqYpOOcPRDlnpnGnpvQKCvdcRCap3Uo+EkwJuOU3lFROyEty69TKdRh8/SVFyPI8ll3OOyYSqpGg2CEAJHuGyFlD0ps7MnLYOEk3mcyBFEm2KSIr/XldvCiTA+QNgrznnJDd8bX46gSTiqday5xFeX+6U3j9AP7c1LTOJ8WcltaMPz2VN2vBaKVX6m1RwmUk71p2lVIJI0VqAj56M1WIm+p3hgMbCR27doCABaVssA+fcwaUrGAbi2Xo0hiHLpaMIJWcs9CpGJwqIIsGaxWSYxmtRI+KaFoKi9EpmKfUm+9BU4SB4zs00HTJ4VGRD3bLrBPn7/0aSUHY/R4SESJZPIVJ6mp7FOsFPsTY9yJWTy4rcuTce251z2CdrClBVBY2fsizIab+uK0IECiUJzhgOK9SDMtyfTtOA8/kpAVinUQdLv7e8UrUwX8yhWl+Xtu2IOLuqKuLv45YgnzcxrhUGBeOQWq1ivkaEPKr+mVXTUf8XZceIuhPsK6WEUjGgwkEoxmmoU7ufe77zJVWIp6wx358873svFLnpkFlUNt6zYcXg+0O2CqkUIaiUhIsBJwWzNNuEQA1Kgd2xHz874wqjQSQ1T3OUB95JkVbr4YDlcDYaVQi0KcuSLGilUogOA8YaNKuAlBmD5c4uPV+z6M7JcMysdwUF3YyHI0qtV1cVqjomCk69pKREHUns/cSk/uLR+ONxyvfpo//DHl5Uifc0Q6QYCX1RwTEeNA5xjgdDWigKVSZoskwcmIpb/Z0vCcgZLPIgMXGxMcXkwgpayxoyHqcozkIJgjM4W7cxlqBy3RkK+5ZSYhQYgoUQ2BmnvIk8IW1Zj6mMg8s3UIdIlPnpE3RNMOsbA8sS9saoIm00VixysDOJoO/arX3aHH/8c3+JBvi9+/eovOPjY0YaKdhHsL1IDRbJ55ICWnCIlCOHPPG5SlQNuZndIkXD5ZOafGXYQtNX1rhwf4hE6bFZmfm+lkUWjZPBtBd8KY/I3IQg9Oueu5rJ878/BZngsKbj78yIl/m327TE9iIWyzI9JcuE9dlEaSCkYuZ76e/zlYKyXSyQiJedA67tT+i9P/3jP0ZuAtcu7yVlrR5CBoWrHIzRhTKMNugCJYLpLJazGD0rUA2TwnDl8n7qvGqH6t45Axl0L6USq74UgqhxlLBQUSvr+Qoq3nEsApIroz6KM0JpJotYJvgSSISajug64axdu/A5Ng43+cV5pYNTqaSQ+IpFrl+pUtQa0cYAmM1mNO+mZ3OYeJBl7S+K5KM6HA5owFjroI3/FtZZ7FxKGR5EIUixPTw+pDVouVjQxjMcDmkz7StoeX+kdaBhCajPTtO6OJunrAuLRUPPr1YtHc6bVqONUa7aog7Xxlisll7R9NVcA32iP1/7J6zzf+sfPtfBpRdVup43QrMPAQPr3USsy9ff5NrCY1TziFku6ZV+gMZ/qjL5N7lKUfSzLBKjQddp6OCDPRlJ3Lri6aeuXB7j0v44vpWi0p1mc5K5Hezv7WE8jq4RI/J15pU2xsAERcwYjdVySb8XLGx3fzdRcHEXxcWgpTk9GiUFbTwa0SGDRysLITKCdI5xSuYmwemSuo4paG3SRTijhDUp16jRGnvDRB8m2SA82D2gMirOLqHYAZqtTefhdL6HMBLg5zwkbCHOrWxlK1vZyla2spUPmVzYgqZ6Oc6iGHZa01on4koIRJJW73QX08b0LR3pHsHCTCSHE52laEbvSJigPssc5zX97th7cxJT3TZ0bBnUKZLlYH8fJljNVqsVujZFnSbr1ub+OQczrrnZsXhKZyVshHH4SdFtPm2tM0flsF9+ze/5YQuPbFp7agjYZQ4Br5Eeouz4z2LDTese2FD+uWc2PHSub1mfPjk8puuWnRoL5swqggMtAMiiTJE9soCKMKOzUIzEWTCnV+MUVavThlI9ldWAIrlQDoDwXlnUcMEy55SCNcHioISHL+GtRFLFUKkAvbL5SHPIJ5uJHUHfNrgEh9+VJ5sl4RDy+rVDsNeCkT5CCI5rs3cmK5tAspoKkaeVYwWnurr0XUXPyrNWMosOs76JnBuvqkoqc1BXMEWEWkFrQFEoeobz7/F6SylQVinay8KSY7m1Zu086aey4haD3PIUr1y2/kb3EgAYGJutcxEGEhBkQZNKEcRZWAd0KbVUTBMnRf5eN7uAxWDjEsC/WX7ThS0RbI7zqMrN9vDzZa8rf2NxsQ/pHc+6n5XIhj1/i1TJglYPByhLb9k1LDJyZ2fHW2fh97VErci4CjPLZirLB7j5f1VVleYVi3601sKquAcb+t7WGpjmgN47GSU3Cc0sa2WdglWGwyFB/cPhEMNgqZaKWbOlpEAsv9bnFrQohSrSt1HsG5c5AwJZ0KSCDXCAVQVEaGJa7XyJipHh9oOR+Jzlekb8PR8qLDb9BSCqCytoo/GIrgVSmPlqtSK4qG07GjBlWaOsfMcrJVGV0dfFQYm0UMaoT+cAUaYGVyw6w3Yt5XBsmxZNTG7cdZ4YFDHHFoMViAbBEYGfcw5nx4/onls3XoMM933hp3+Gwtx/53d+E+8EM+9qtSLmboBBLD3hkJnp2g0Kks3uz30W1k1mBvu5dW3LFeenLVp/FkoaEGCm5yzbb76C/Su8awOEu/YFvvC8Lvx5din5u1y+FXKIk8c58ajd3/it36Pr02XKgiBkovKoi0SAOxyNMAq+YlVVYbwTGP+dQeFi1gUHGXy6wvZPM/94uqDFbu/KTRrDK1vAxCTZooSRfs6ZzkCLQBlRGig1obbVZfJBK9WQ6qtExcLzdU+HJXwQiBtzoVCN0hxfK72fN5HRSshM2csIWyPJpHMQkkGqsQiusDCyXU6I6bjCJRMKLQQISpRSZAkQiiL1QFWlfhqPEgy6uzOhNSjL1cp8UjiM0z+YTUYJ0mlNWkNcx8anSHO+YpF4PBdn17VEVwCAwbbAaBR90ByGw1Qez8W5Wjb079VyRe4ebdtRJgFtHdpYdetgCBVzWUaJ+0cp4j/bAjPHxPVzmRN+579fdKdL+0l2gIbLKCcE9zuk+gFgM56vSZtg1yzxOWMeAPPVzNuRk/pCJqOElWndHIyGKIJSdu3WK9jZ8wpRURREg3Hjxg189PYrAIDJZIK6SPvfumnGXXV2JxO6ZcfkicV5z9ATfBl1DpaxMjg27nhGCcd8rv18kNSGOKcF+pG2vP/jdd6YLPq/Tl/Q2vy+dEZZvwd4F5Z+Rwl2X/z2+TPPvsb3JVuIcytb2cpWtrKVrWzlQyYXtqBlpwN+qmHO0+cPQcm+nMzLffgr3S2yM7Ujp3prTMw+5vNhRigzO4GC1NWnmcO5oz4/ZRZFQQ63dV2TE6PWOrOgPQtOfNp9vE+E4PW6mDk9I2y9wO/8fT+oyKjvRzZBDZvq6/hp8GnwZf5QuuydorOBy8fnJgPQhm/aNCxNVWvoVCxkSnUCq2Ao9Y9C9ADXxjKuNAtpQy46OLB4UKiCR/9xYzyHIlkbBTYdFtP9Io9azJDbczBgAl04FJb6oc9X9mwr2maYyeV4QQb/r7mOlUF/DuRwbG5pE/Qcn4frOLHWjce1c46tQeCO4Y7f30+Plfq1bwmk+6zjptwMzl0/rzfzHuaWhQ39LwQgUtvZa9f2OcCCfAQgOGnVRXGdtbelSe6LelrdXxwhuMiw9dD+i72zv1TlcyzNXYpmhCcxToh/gv+FkLR2FGWVoiHrAUGCGYl21of5t3Nr7ulbyoVb93tqUB4EEhaQ8DcpZJrjbHGRzJUil/RsvhD394n17Ti3JazdQ3q/b9gfsre5/jhcX8SzrWhibZ2eJhdW0GaLOV2bNvnGVFXFcGOFIgwepUAs/84l0kcAsGECS+fAjXh1lfBka1Y0kB89OqGFZbnqyHQqpYBiScqVTNg5MRg7IFbXOUfM5wBwdnSfYJxPfPw1FAGSddbgpZC/841vfwvfedPn7OyTGgoWwcGjNqzVzBye2i3Ywumszdg8N0Un8qkR35VlElhDBxLrxF+RILz8nmcpd+vqt66Mc8/zdf0pEOemv62jMzkHkck1bVqn8D0DJuHfBTaZ9b0GsrZoFDZNnT/46p/QtWYKU0q9i8wPwmhNh4OyLMh3xDkLF6I4hRA42N+jGt5+9VNUx8tXX6JFuBwMaP41Kw0bIrWMQ0ogDUGLulACg2H0FxK4tDemug/Y/INg0azOpD6xOh2ctIPRAVJVeT5HejRTinOx2djNF+D+RhHfZSlI0j1zsTM2kQ7zb+x9YsO3MIm9XAiLwgX4UToYxQ5wbNNzLBI1RXsDjvsMslyANmMfl6hcoNPg73UuyyU4m83SWui471hqR9u2NP+VUgQVSSkoatQYQwTczjmiFfLtTfOsrFJC6JiNIj4TowaNMYgR5sI52jyUUhjtjKlvxyEPJAB89RvHrDy+xnHXDGwQDnFeRIuit4f/V2vXPe5qcqHXhVsEG02pJLY+cxcWJOODQB6lzv0Zq9EuXX/uJz5H3/nu3QeJEaHcBYK7QjW+guHuVQDAxz/+MXz89Y8BAHZHI9y8dAmA3weVjMoey7e7Yb0uhCA41knG74INayG7hnNAjEjvKW2ONdb0OnljRC471LDKgmh3zilIm9aX9UrYuUMQu+Xc84I/w1ek8/sJP/hscqW58GGFyRbi3MpWtrKVrWxlK1v5kMlWQdvKVrayla1sZStb+ZCJcB9G56StbGUrW9nKVraylb/AsrWgbWUrW9nKVrayla18yGSroG1lK1vZyla2spWtfMjkwlGcHaOayMjhGLmeyKKvnpIUdEM0T6AMTX+7aOX+gom0KaK2cSlqUDdTIJCbfvsrv4rH770JADi9/21MH34HgI+0o6S1B9fxiZ/9t8PvBsePHgLwUSjzB9+jMgaTg5TvrLoEFyKKfuJn/ipe+sjrAAChKkh1PnLI/4194z7RL4uyStE/HYX5WycRzxFKSGKwPn70Hu6++UcAgLvf+w7+0f/9/xba4XD0kCV1RcrbVlQdFff3/tf/MW6++lEAwOuf/wVce8VHQy3OjrCanQAAjh7cwZ03vhp+P8Gdb/5heKdFVcyohP/srQd0vWpS5J+FoUFc1gVUEdm3AYo0s4CyMfJZYicSQgtgOE7UGuPdPWrH/Uf3KMJLFppyNpZVTXQcbesQ0+da64g4tSokbuyOqM+BlGPy0WkaV4tlirsa10MU4RuqApDK12O2WmDR+px8etWinfkcuUqKRLoqgHocx4XAazc/SxFjN4pXoIRfgq5OrqEOGQ6mZo7G+W/47uG3cOf426G6krIjKJTYweXQPovZiY9OvHd6idowqFMiZet0bDCMbSniTslEIFyXJXYDgbAUAqPAiG+txcn8hPppyiLB59OGAsOUGtB6NhjUKCmvoIWULEyfMgQ4Smrue4ex/CtOlZHW29Uq5cm0NkWK1nWFwaBKb5Ip0bthka88ml4xImUe6b1araiMZtVQpOhgMMAgRBz7SNhUBqdy4JGtb/yb/zwVCEPzTynFEkorqu/t26/i9m0/L8eTHVy+fsO31TkiKwdA4xEA6kHKlVgWZUZsTHuTlDkJauzZHlUJJ6BOpMh5/F3r0j7VdA09XxWJFF3CECH7W29+F7/13/8GAEB3GrPpkvrzl/4Hf8OXAcAyKoqzk2N6r25WFDnN99iua2FCAuvOGMqTaqxDqyODgoMNkeE/9x/8b7CV9fJBe3o9i/UAAP6z/+1/9Mz3bC1oW9nKVrayla1sZSsfMrmwBY24TgBk54nsVGITsZ0FceaEPBnhWsBRakyRnRr/wumLzgFNA2idiOKkBIoCqOs+IVoS9rOEpK8hpaSUU1IWEIFjSXqzh3/UCcQjtQDSN3IWzrKUHey0CsvTYOS8bJyAOFUvt4RqncaLAUtBU6RTsBIqPSJTbriMzFgKusc6i6bzloy2a6HDSdL2aOGyeolEOKiUIv4wKXyfiKaFWqxQLP17i66DsoCRLiNxFXw8A5RTFQCKKs0Tg8SNJAtJfFJKScRJICGgooVQKZSDlBsTReL44xxZVV1Tv5e1oClYVrXP2wdASg0sQ59ICxs4uopSwA2iZU6iQOKsGq8SUebYDaj3hlVJHIO6WsGGfIytBFYq1EMWkIETbVAWuLkf+Z0ANY7fWcCqjr7JFKeQoe2lcCjDcrQQM3Qu5MIdzDHYLSGFQO0U6sAh5iBg5ArGOQhr4VrPt2WPI3cc4LqUd7dSDjJYNMY7NarK1+nywR4uBb65QVVjd+wtaIv5HO9+z1uRO93h+P236b0NT2GDisoQlYWI62QJIKSicsLz0gE5J6TndeOnakainfGE5eTa6yxo/Hc/ZxK3FCe2zcrjRLNK5ZxXAGoB7FWKloiqlKhDtYSg9JChTQ7WASc2t0hxgznP7qQKR1OoKFIOxpdfeQmf/6m/BAA4uHIdtz/+SQCAthYzRgjN686tFZvSMPG8iRl7mRAZh2WWj5QtJpzft7UFrYar5YL4/CrZQcU8j+0CtvUW5dGgggpU60JYBBpCjKoCt27djFWCGAypjDvvJEvk9NSQpWy5XEJYg4EQKIyB0tp/Y23QtBora/y3YBX21uOt/CBEOIfaORTO0k7sINAJiVYIOJGT7z+vXFhBe2o+RYKpRKZTrCWb7L3rPInoXwBg0zng5AR4803gG98AHj8Glt7sjcEAuHIF+PSngU9+0l/3pfctzrE5+x83XHPohL9n8+BxG4hDz1fr/Hd9GlGpc/1X8cHDoE+C0MXasjeyTJ9/a9Z2EVjq5eMnUG/dg/j2dzE+OcUkEHtOSomJbPFwR+L9Xl03E+zmJVLycU6G6/JvkBKUg+UFPL/xcKLVKJJtMEKkHHeC3Sf6/czLACNb5u4GQtHflFBQYXc1QqZ8tEJQfR0rWzIoGgIEhYWWsLXA0siyMD5fHwAHAxdIriEclJS4hAr/q+qT+Kn6OhQE7uk5/tPVW3hbLP0hQ57/7pxeUiApBFIKgjXLQqEOUGZdFXSt2wJxaRXOwZkEGeWE47nCw59ZJxdirUf+vfu/f1CSldGbjFIAv7I/wP/uIweYlGrDG3JpjMX/4a1j/ME0KQT9JuRzKP43zQelJGV0qeoKg6FXWrQx6KKG95Q+4Blv4rv7ZYS/UB0kIxzPlFkbf89NB8YkMlfFknVLYYkA2eepjTlQ811O0v0gQuHwsqy+NJfDgVBC4PZgiJ+ZTPBzl6/ipdEYo7KEtRaPlwt84/AQv/bgPn73yWPMbBqvW/nByIHu8KnVEp9vlrhpNcZhNVtA4L5U+Ho1wDeHIxwW1TPftUkubkHbygcjzgH37gG/9mvA228DXZf/fT73/3v/feDb3wb+yl8BPvrRzda0rby4WIdLJwvsvvVlyOkSore4DxqLW5C4snKYCOBI1Dh1zYaXbeUHKf+2egk/VV9DEba6kShwCSXexvLPuGZ/PqUSwOujEpNS4aIrT60kbpXbdeoHIRLAT43G+LtXr+H1nV0orvQphZcnO3h5soOfvXET//LOu/gv334Hd1j2n618cCKcw0tdg1+ZneHHTIeyZ8DYg8Oe1fj4aobPtQ3+f+NdfK8eRNfT55ILK2htBlMxM7JKA0U5CxmdGa1NeJMQ6YQrBETCOOEE3xQlCNpivz7VevejJqenEP/yXwLvvpvnv+qLMf6ef/Wv4P7W3wJu3KA/ZZYq5sAqGbShZILwBIM4PYoSTfcu2e6th6gBb23op9JJ+VNTFZ01ZIZXKODCe6WUUPHIKQX4Eu+y4JEEIUjbpVQiUseKwpgEDylVUGocYzs61goBcoL3Vd6Y9COVJyUmyxYffX+KobaZIaQvpRN4zY1hB7fxW80dLNAig3rZvYLBsLzdqhAECUlIslZ5y1rIrackZDhRCwGU7ORlmDO5fzY4JlcVQadSKbJoFUWBqoxO8Q7Rb1tIh6WJcItCGQI+hBDYH+1SjXeHr0AgQJYYQYbrefkIrZqFdtyHg98EhCsgjP82lShQ6QTV6iYdQqbihK6HlyZwoVPm8hirUPq0O0GjveLVCo3PV1fwN4rbKLgdQwCyshDCQDqLUq+ZSyaVe+XKAeoAP796cx+Xdr1lZjE9wfzxOwCAx9MZ7j84BAAsVw3ee98Hf1jrsJynzc46Sx9dDSeE3e1duY4iWH8Gg4rmgEUaI4JfC5EvdJkxzvXguvR7tBJtysXpAwPWp9nL5bxFKdZrLIGXB8WFlbNUdv5vbjwVDGVUKR0tpEyWRzhL7grOGYAsqRaIGZlFsjr751P9Y2CGL0Mxy5xC3yK9TrgFzpg03oxN37ywJbWzFEN6phAKIqxpS7PCcmXp2ZieEEKgHvmxNxyPceXGNf8zBHauXKXydnd3CGJdLua4slzifzxf4WpZPdURaLeu8e++9jEcDIb4f737Do7aDqtm8ZQntvI8IpzDjtX4d6Yn+JTVeJptuQDwSduhmp3gH8lLuF9Wzw1yXlhB22iZZzhCtqdbR5ue690k1jzb/4H/aZO5/0dOnAP+6I+Ad97JlZ+y9NAmALQtRNumlfXePeDLXwZ+5VeAMvgO9XDkDFDLoMwId62HBnuVS/0d60r/7kVlMrg63ncuz1tCVxMMBteDPvmOlPImwhqCjpxlsIMQcBGOgMvaygrvtWo9aC6cxUffO8WwS+U6IeDKAq5QfpxqDdH5PJQKAh8bXsN9M8U39cPN/Sn6kGyqYgZfMIecCHkIKTKIk0fiOZeUWf49pUz+O9k3ZxCJc4KjmqQiCwcgwpoOKFVJ32cgJhRhWZkRVFgqtJoBIUdlIQsUEV5VwvvWASigoByL8GPrgDY6LQXKImoxWnQ0GjrXoAtJ46+YCv++eg07cg1MEPJGC9tzkY3iLPVTWSgMQo7JnVGNgx2/SZrFCWadVwZXszMcPvaRzMtVi+Pj49QGk5Qi8GhCWRLka40GKEerBU8VmynxYPOBQfnoDeNnTdnnRa/W379eSZsohZfq3J9yrg06u/Z2ggffa/sQY34/965YB3c61lvOWXZ/vgP19wMOX3O4lGB3FsW5Oam1o/njfz9/nRoevqGVcOFDS/ImPW9U4Ao6+b4WipKdA8BwNKLn2qYh38NRVeBXFg2ulRV1uQWwtAaNtZBCYCAV6mBVK5XCL966hW8vFvhnjx5C64tB1H+R5SLKe5Qvzuf4tNX0rR2ABgJLCDjhMHRADQcJQAF4zRn8W/Mp/pu9S9DPqcdsIc4fphgDfO1rufIzmQBf/CLw+c/74IA/+RO43/kdiJOTpPF+61vAL/4isLf3Z1b1P29yMG2w09W5cnbjGhZ/6dOYX96DaDuob/4pRt/6HgZWQsCfkF+vruJN/Rhbt9sfvIycwr+DW7itJn8RPFM/NCKEwEgC1waJ5uWs1fgv7p3ij1bJkp4Oag7GOCyMxf1u6/P0QcvNxQo3Op0pZ/dg8et6hW8uFxgI4Cecwi8OJziovBJXKYVfvHoVv/bkMbZA5wcnEsDPtotMOTuBwK8PRviD0QSdkPj8Yoa/vprjajA6SACf1w3+tTE4KZ5P5br43Vzz4yEt7Hho2bVgzs8OoGO7EKJnj8lfxSHOeJ8AMqXmR9aaNp8DZ2fp31L6QICf//kUEvWFL/iAgd/8zeSftlgAT54kBS079XFogsGdMjlzCynp+/nf4ncRZEZ3HJKOUZzxZY6fKvhJw6ZIJ/a8UgoicGVZo7EK8JBzFovZKT1fyHTanj15SO9arWYw4Xpy6TrqoY80HE72IMe+D6zu0LVeTdKdTpFtDsjAfpH3V5SrJw3kmP1QlrD/w78Gsz+GmR4DdYnD21cxefstvLRMB/gr1Q6KpoRm/SAznrd0qQpJ3VXVBTkES1FABeO4dSniSkiQZU0KiVE9CR0NzPQC8YMomSaaFGW2URJfknCQMll9ROxrKdAGCEnBATpBL7v1Ds3ZWo8I4hzLAdXXCYFSBIi02sGweMV337DCIFqlWo3lkf/OBhbz6Wl4FlhNkmrbYkFWOqUEBS8Y1cFag8/oPXxJXUO1DkgQArJQUKqAtBaqPG9hK0tFVqxL4wo7I3+POXuCo7P7AIDHDx/g0UMPZR6dznDyxEOcrXbQOs6H3IDjGM+XXi1pbi1Pj9CFeghnYJZ+3MuqgiyDpURJQEVYGWSxgUPC8qkgdpkQwARZOoDmskvuDWBuD8gNfpn45SGMIzamAIuXqxIjlQbzWafx1VmLt4xizycLE0GDPWf8grmw8IhOxSz/fkVKi02MilaFxChENWtrsz0ogzh5eKjgEeSpAyXS4ig5RCrY2sauHRw0/S7QaeYrbHk0KQewQWULa2n9FlpDBrcCpUrUQ89DOBiOocK4EBDQraY2GpPWhY/Nlv7nUEwH4Lf29vCeHqEajmEB/LHWeLnV+DxAs+W1vT28cvsWuoeJp3Er6+WiwRQ7xuASj6oG8Mdljf9usg8Tvt3vjnYwtBZ/s5kj2kd34XDVdD8kBS2zbSObD5nyteYZx67P/77+tU+v1o+Qsjab5Q4hQkDcvOktZ1GUAm7d8v+NE9w54PSU4wDrRaSFK48CStCXdzZbAwk6y645Vp1DnCLUO9YjhaXbXnh9VNAcdNeEa4NFIIEFHCqZIutOHr9H4epn02OYsKA5CODAv7esamDklTVnLKMbsFnVM9mAFdXawUKk0OjrV4FXXoabHtNLjHCYFw7WOb/Aw/tXKe5Mg7RRAeEcItLvsdtVIVGEaDgJ6WlF4ImDo+9eX0Gri0FogoMUKThBSgZ3CknPWGjm3+RoQ7TOIekBbDNlsCngMBgPaD4VpoQIy0MpS5Rh2e+EgIjaSlGjiDAoBphIT62xWizR2GUoW6Olb+nQDTrqHyM6epeTEi4q9dJg4iT+J+Kj2BUJAuIiQtuVUrBCQBaRFDbdo5Qg+HhUK+wM/D32dI5lMwUAzI+eYHr0BAAwmy7pMNFZwFrmz0SKUL6YG91Rn3WrBWzYyNuqJH/c0tk0RkQBUTp6VxZFaTfNb34g4//sr6MJ/idYuTchMv9VwaFCFiUMhx8bFnxZx6wzeNAa7JQFImOFBdA6oGOuFX13FMWqKMGgyKz2LrtOhw+gCn6D0lgYbhjIHDskKz/9Lfrh9Z8QEDncyerOrx2DO7MVJHM36H+scKd1FHQkrIUM30EirGMAirKEUslKaYyldljm2jGyPto5xjw/VgqPhiNUXQcZnje6wylmMHA0VodKYX9vF0N2KN7K9yc7DNoE/Eh9v6hIOQMAIwTeKyt0zQI1Gx/7WgPrl7ONsoU4f5gyGp1Xjh498kob7aY2/dZ/disfmLx5ew/VZAejRYe9aoziC58/p8gp4zDu8tN6Yzu/j26RnB+Y1E7if65fxctqB7GrVzAYPtUldysfpHxyknYSB2BcKvwnt/fwqd0RdkuFlfEK21fOGvzqWYe3Vhbtdk78QOS3rl3Dq9MzXGpajLXGn0R/ZSalc7jsEA6PXlbWwPwI2S9+FGQuVRbmJgDc1B2kcz4TBLwSfkN355SrhXz+9evCCho/CWVGMsn+KUWCAqRcc7rAsz1fLyBEjvqjZD0DPES5twccHfl/Wwt85zvA9ese6ixL4K23vJ8ap98YDv09z5Tcepkcxtl5tRc5Fq1W1loiuQ1gGbOocctU+od3UA8n3KKAKiIxbh5tBxHhxw6P7t+hP9VIVqF73/0GTGjzydkRQQpSlYTR1NUAYten8nHWoAvRgbozMOTEnUPoIrSmL82gxMPbPlXQq5/5Ig6u3washek6dNM5qrMprr95D6NGZmrB4+4MBjZ7I4c4ObllUShKi1TXFVkDhGPcZ1qQx4CSAqWMliAJ0TIrnStIKawqPukMkY8aGCKldDAQKkBFAnAyQqrAKvRzKYBJndIw7Q7HVK/j6RmdEXYnY4Jna5xChkjMWl2CUwcAgIGaYFL6KLRlNUdz6h/ubIuH0wixOMgypb/StoELkZbGFYD1UNTPd5fwBZWiljtY/CYe4ZdxE1wit5UQgqxdlsFdlkU5Tk+O4Za+DbNH99AGS+7h0TGOjr01bdFqSr1knYAgKEPk1mGVrEuyYNxVzgHBWtgt5rCBT69iRMpqMEBN3FchyoFKSbCb5I7oGzDKnFNNMCiT1zdxU/atyxwSl0LS3yUcXh0myFgCeHU8wKvjpBiUhcJOofCxUYWf223x/3mywD8/7TDrwbR8KSh64AoHBGJ0t9EdVitvfW2aFVarVbonThQBKBYVIoRM04GtdZx/z0dX8/0iWjFZJCxHBODY+pmCm3zxibhbKgVHGzOzyDuLNrTDtCtA+7EgiwLDgZ9zw8EAw2E6eMuipLkxGAyoLl1V4s3xhPpEax89qKxD2Wkc6A6faDq8LvK16oEABnv7uGYSVL9RXnArfR6etWft1z8KnG2nqsChkLgZ5w2AH9cN7s2n+OZwhE4IvL5a4mebJXjM5hwC99e4YTxLnkNB69mqg/CJBss2f5Yjsi/nyWn5H9f87cP/3S4mUnofs3/9r5OF7PQU+NVfBX7nd3zbVyvvc8b8H/CpTwE7O+xFm/oV1H8iIxSVGyM64wLtlbO0aOUQJyuRfQsPMUUfopLyQGZuIHAEY1mr8fjB+7FgVHZOt9397jdhOr+IHZ48IQVt/9I1DIISsbd3OS2AxkKH3HO6M6TkOJsPFh45GjDgUMfUP845OGsh7j/Ezr/6VUzOziC0QdF2kJGsEkBrO3xHH0JzbhPkGRFinQBAlSopNnWFui5TX1P/JgoMKQXK0J8CAkKnHUy6kr03RXtqt6BvaGxS0IS0kIqcboilX2sL2/h7rJCY0KYrsDuY0CJ6v3tE1ACy0igjPGhOUTjvR1lWN1BVLwMABuU+dof+el6dYnrsocLGLKGWkf3fQZZtgjhtQwqKcRrSKbzSjvDXzS0MAuOZA/Bl9xh/WJ7gl3VfQQsbLyRc6B/XU9CiD9r09AQ69Meju/cwO/GHpOl8idnCKwGdBUyAGT2sHbq/t3FwyoaiYESlzkKE8dcu5vS7MZp8KitnUY+j86OjbB9wHqpLbUuwXW5MX7+ucmjP15dDmRyspCeyKEl/7f9xtRDYry522pcAbo8q/Ac3FTp3hn960qFj/VVwBQ1s6WHNMMzBTxuNJuR9XjUNWsoBLVKorksuFP4vPB80U5hlTvxK0bbW0Jzx7hHnlTXnXAaDZsqFSEdAqZKSLdkXdNZCN35cmbaBsJGOyGIYLGDDwQAjjoyI5CvcdR3VRWtNn84YCziBy6sVvnB0hKExqACMnEMl0lrVAPjWaIhqWON67ct7hPXy52V7/WGIBfBb9Qh/ZzUjmP6Ss/h3l1P80moOB4eJc5jAMdIw4I+KGtNCPVNJ7csW4vxhy+c/76kzvvlNv/I654MClmsIN4UAXn4Z+Mt/OfdT28oPRMTdeyjvPVzLAm/h8Fb7GO/i7EfipPejJgICI6vw11c38TJ2aXF7103xz8tHGDj5rFds5QOSz45Sai/AfwfrgIUxaIMCWiuJofIWGwFgr1T4j27t4k+Xx3hj+RR+x618IHJ1tcRtrdeo6l6JeKOQeGs4wFb9+uDlD0Y7eEW3+IJuoeAPKRM4TJxZe/+bssCvTXZhXsBM+RypntI151TK/KUlQBF0Qq7x2I7PMAtO/A0gU3H89wch6zbTP1NodLVKPmdPI6oFfOdW1cZ+TJJM/3QpJCLH1TmIk55iKWysSfCci47GyfSfhYVFQluRcql6qIkqngJ9pUJZj8KTEpOdPXrP2d1H9OLpyQl0PDkv5p4vC8D87BjT48f++tJ1LKbHAIB2tUhtQoJ3XKw7/UXQvzMmZ9Y8ayxM20CenG5M0SMgcFXt4JYd411xAmHWfzulElRUFAWKYEJQhSS4k88NVwJVeFUhSnL4F05gOVvRe+fLJfXVhJGj+mDbaKG0sGGRqKsC9SBykYFA2a6zWAbopVIFdocplLVQCSpa6gXaYNpbmRIqtLcsBapoyRAG1njS2tYpTM0JAKBplhDCW7SktCjLmGPQwVZtgoe4wd0afLG5ip8010g5m6LFv1J38Z6a43XDQ279343R6LrWTyNz3uJjjaayZvMl2kB6Ol20mK3C+GotlsGCacF5mxPEKeCtMVEUg7R5CqF+OqFYttEabYDqoBTahe9/oRRZJs8jDnKtZedpwu/nsn6927wGvj6ssr8aB/zO4zP8f4+X+Gbn6/WFcYG/c3mEz+0NUIa37ZYK//6VAf7P782SG0rf2yHWlf1DSkFrf1kWqOuY6qmk+eOcgMkg5zT/eL5eKRWin43Mlr20PimV8hcryEyHsSzaiHMS8lBYzrlnBIM4HctFLUFz0cFm9Y1W9bJM64PvkzSuyrJgrjzpm9a2Qqkk9rCJC8E3+aaxeLnVeHswRFFuFeYPUmpnIeG5AZ9lZ7YAWgZ9P69cWEHjpmrLhwZflDaccjctGHwjJaM8c0w4r8b9iIvWwD/7Z8B3v/ts5Qzw97z9NvDf/rfAP/gHwCTQLnAopO+ySOb9ApJY4lNEXj+K08UIO2PgeP427vfCFTRhIMJG5/NABr8zqQgSsEhjRMgSox3v61XWK1y7+XJomsH73/g9GhsP37+LrvEKmnEtFXj84D2oQBExHE8w3t0HACyms6TMQKT69brV+7bE8Zb6xzlJ49XoDqZdoVhtThskAVwpd/AlcRtn3RInXAlkC3khCxq4VV2hDJGbVVVSgm7YNIPKAoj51aUrUAWozmqHkyezUFeHo8WMyhhd3aWMCs4mZdhYAxsY2urBAJcueVjcOtDprVl2WM18Jw3UADcPLtN7S2aCP22OsAqQ81lXwoWI0us7EjuBCX2+6LBceqiw7RpMg5e4sQ5KeYWqEAqj0X7ofwc5SlGcUqXD3q2mxN9obqMKm5SFw1fFA/xe9QDOKXhyASbOotMtGrOEswIw++iLblvyg30yP/bZKgAcnsyxmPu2rVqDNkLMQqCMC51zkOxEXPF8egzWFEjrmVJpDmhjSAlv2wYu9KU2hiL3irLCICivDjk86zf0CHGuXyvOkaFuUNDW3795TX1z2eK70wUu1yUmqsAfHE7xn3z3EU5UheFwCEDg12cG73YL/F9LiVdHSaH7id0hrqkZHgQ+NK6AKLZzZC1SgoKkBoMKO7t+7IzHA1LWjLWw8UN59ZwetwyCFDJdSyVY9CxXpCWtW0IIFAGd4N3mnEMXvplzjvxHfV3SWGwYGxGMppf4g1rw73WGfOyEdBgOa2prbB8tsREWt2m8aa3om5alAozB+HDz1i0BXHPAX12sMB/s4nH0J9zqad+3KAB/5+wYnzPthZQnBeBTtsPfOzvGP9y/irm6mOtAlC1u9sMS54A/+APge9/LlbPhEPjsZ32QgBA+SOAb30h8adYCd+4Av/3bwC//cm7K3MoHJ1Ki/dynceI6PG5msFJicnSM64+nGDlFp/+9YoyfNDfx60jWv618fzK2Cv9g9ToOAjGdA/DIzfFfDd/CHBal20Zv/jDl189W+PpshVpICG3wcNXhUFsMep/hnc7hV09W+A+DgiYADJXA50YFHpy26169lQ9AnBB499o1nKkCp0UBrSSunZ7htbMz7ITDnwCwby1++vQI/+Lg0nbf+IDkS/NTfNakCE0HYAaBPygH+NN6CCOATzUrfKFb4iAo1QWAT1iNvzo7xT/bPciQwmfJ953qSWADApeRqboUIdiHAXhdRbKEZD9fpH5ZHc47iqd3Jcjrafvr80ac5Hnzes8KeOvZ174GwUguMRgAf/fvAp/4RPrt9deBz3wG+Mf/GAipZmAt8PWvA7/wC16hyz7GpkZwQGFTW9J38TxmLJ0NHHt1gliSG2pevHM2WeBgPbEkvOOscNHBXBOfmIDAar4k64DpLEzI9ypY6JezFkZHQtoWbbMM1w397p1+Y01734ZHeAFZm+I/Iizhrl7G9NOv4ezeewCAJwOLO+YEXzgWGNn0npeLSxh2JZYhHVHGvVUkXKVQkpyZhUhWSSkkZLDeKSVRRfjMschNAXLSdw5oly3VvVt2sKGvnEpcckqmYJCiUGS9sC71iSokBoEcc1DUxB8GALMmWemM7GBl6F/niINKihKlGlA7jOvCPcbnKwQAJyjHJwDURXKEbnGYQeeFk/iV5iV8Ul7JvtOX1QN8RI+hUEBZhZdsTjNTQOI1jGGsQwPgnXoHRggIZmkTzhBM6az2qZjgIbUIMxXGemsXgjWPQ2fJXyCD7/0L09/Wpg5isCRb1gBrYUMUrYWApSSpAoKtxpsBrOcT0auf6K+3cHRflNY63NPelaFtNewGON85h6/MDf5D9psUAleL9UjK+RalxZ740ZjVS8oUrcxdac69R6R3cdeMLICN3QM4OiNLqXpRsgTCsvuRXfPvmbEmsc3QOZu4HFkAFq+Th0E56anI6p6+m8uedwI4m4xwWJVow1i6Oxzi7eEQf+3RI+yY5O30ka7F2FnMX4DiYSu5FM7hZ5oFCjYW5hD4Lyb7eGOQ1qc36yG+1o7wv5ge4RqL9vyZbol/4/ax/EEoaLkwBcv1JgytX6kRxmhoRhshWdSbYhuEhFqv6Iunxn2eE+d6g7u3Xjzf255SDpJCY1l4uZA9vxQI4OjQR2dyef11r5z1G337tg8m+LVfSxtB0wDvvReUuQ1QhUhtE4JBnLKAIJO+TsU5R9QW1hrawPq5H521KSuBcJlfSRRrNGJi4043aLqQRFtI2qCN7jAqIrGiwL3v3iEFbXHWEuXHeGdApK6m0WhmXnGYHj/B8eN7AIDVqkOz9AoS+ff0uiPrGISxyjEWYhVxBBVXZYHJOPjMdXM8GSncX2h8LEQiCgBKSFx2Y9wNNCGxrrHuUSkbDErKTymFQSS4LMUAdYAA66rG7o4neG1bjZMQ/QhhMF+m7/HozhGVMdnfRREgl70bBfkxVXUFEbgM9nYGODjw7WiMwaLToX0lRt2ev1YVRge+bGst/uibX6V5sypPYApLz1fBIDKoLuNg4subN1Ms3Yl/3gjYNkDZssal2tPCaNfiVvF6+DQWK3cftJka4JKr8ePuCgbM/0YA+Fv24/hbT4FkdmSF/6n8ePBVM/jHVyZ4UpX4k6/+Lt1TmDkp391qDheoDoaVwrDy8O90NielzFPNGKpDQT6Dflz4b4EQpRjHFF/nTIL5GXGzgEARB17boD059fdUNfQwuC1IieHBmMownPH4KbLO/+2iPrZS8vU2KfpCCIyVwEQKFIXE3UZD2xzCjbLoRU0L5HQaivEzZSnO+bKlBGRQ6uqqxGjkDwB1XULFl1mBwqayU4RlH5pMbPxKgeYfP6RrkzKPKKegVDpMRP9C/+0S7RBvNs+x63OoBygayeBgTKIL6XRDSeOl8llFAKAoJYxpqTviaAlvZt+DK4uWouKFdNQ/Tkgc7u/i3fkMnz2b0puUELhmNe4Ma2CzB8dWLiCXdYvdnr7zjaLEG4PROavYnXqA326H+NursA8CGDrgdrPCt4cX5zTdQpw/LFkszvud3by5/l4AePXV/N/OAdPpB16tv4gihcDl4zluuweoGo3xe6cwf+0X4C7tr71/WiJf3IQgZv2tfH9SOYG6f4J6DhEAaiiM+mmStvJCsiMF/vcv7+H1YYVKeqvx/+PdQ/za6Wrt/dd61jLnHGZ2+y0+MHEO1x49wcHJKYZNA2EsvvHqy5gPh2tvP6prAGmfEADK7ff4QGRsjU+Px+ROsTk1wHerAdwqUUlJOOza58vi/H1DnJvvT+ZaZx1MzGsnRUppAkA+DS99Ltx8M+SYndYyvOH7E+6Uq1mutqIsk6k6OgVW1fkDMc/L2Ze+tS2+A/lpkNfjQrBw7w/rI8UYXNC7ry9rSR6ZeV9CQjt/SrS6Q9vEtE8aWhtGlAvKPWetT76croOFw1i639mUB9TxVE+p+qG9ea84B9zY2ccnjhrc0MHCMm3QfuPbaH7+ZwD0LRECw3NzymGFlkFYbDzLzZYMqqPgw5zD+rm1gYsnEk0WGcF+Jyd1qYic1ls8OdwWDweSTuAQgLbRgmphrCbIRQg2VISFC2TD3taYMBqK4oXInKK7YBkwrmPRbJ4Trx8c9EFMR6mUbz+H85BgSiUFHFkzFUHBbdWiaUJdDdCFBTT/Fvn49zkvE+TEZe18EoCg6Hawj+9onginGFE08Oz4sBeTZy2vl5XAF/fGuDUoqQf+5pUxfu20OXevFAI/u5OnhOqcw3cW6zehTWtSb4rS+MjcFVz/GUHP8m6TMQ8VvJUt8aUl2nTpJMsdimweb4qcza4zHkSRX69v4bl6+1978DjSuPJlAuP5Ap9+5w6GbQthfQDE2cPH+NZHP5LQGUQLKrDb5cE0DsCq2IBMbeW5pBXyXJzFwRqFK37BnZ5BxgFYyec7jF5YQeNFcfdPB2TjkkP+cfDMlw2OH/l8d1JJjAI5ppASB5cvsZe5bLZm8/Z5lbW0N+WVz9gSX3xrcM6iC5NBa437d96hv914+TbVdzgK5J/7B0A9AD/d4I03gC9+Ebh6NX/5YgF85Sv5aqoUcO3amnr0N6RwLSUx3EupssTp0cfLCaDr/MnYWgMbNmvnHMG3gIdrUkLiBIV4v7NEkuoCC/ticYrjE5+M2hkLFzZA3bZ470/+xN9vDN777jv0fDNv6XM0WkMGRaOczNGZEOE1OcJo11NutG2H5aINz55wBGCNBBgAfkyeLJfQxkC4AE44B/Xm2+g+/XFIJTAKEGe7rLHTWby0SpulA9A6jSM7pyL39w7o74OdkjYFKVJfma5lUbKSotaEVShcHfpZU4SfVQZlVdL3GBcTKmMoB5QDc1IPUA19/SaXdlCPfYFFbQi2dVbDBMhZ2gLDcUzQ3OHOyXd8edbi/vxt2hzr8TAR+Y6W0GGlWKk9LOAhUiFLTAI79rITWGo/x1dG4PDYXzth0E2OQt9ZFMMGkQahRY0TYfAGTqGtSXM2+4gSAgIDKLyiEllzB4fHdomls2iURHXtk7hV1xiy7BQDNJChrPGVHRThu1y/doNg5fsPHuLBIz+mjk9OcPeuH7dChIMWguLRJSgqqnAAUBYpWX3HNkfehgKKsmt4MttAsLxa4TgkspZKoWBWkWp8id5r+YGWMeJzglapRKJxYfXjS9w6uo7+uvpAO0y1AZCIkX/6YAefGs3wjk2HASkEPjuQ+Pn9PO3Qo8bguzqRvPI6SX6wYHUUShLE6V/v62iMRtu07PlE6bMfiLudc+SrCQBVWVMdd3Z2UIZvCEbcPZvPsQhUJ9HfFvCHQUs+uUl55tf+Pub+IQv6HhICIkD1UqTWKilRh8N1VZaow7wuy4KVt27pEmiqyueatWmtevn4DO/ftpjXNcqQ11Vbi0tnU7zGDvYOQCclFntjDIsCWGwDN74fOSpKrCDhGKPZT3QNfltrPC7L7N6hNfjScpYdXjQEHhX5fc+SLcT5w5LxGHjlFbjDQ0qii9NT4J/8E59d4KMfBerak9h+9avAO+/kz1+9el6R28oLybxrcFQAr4hkylLzBSa/8fswH7uFdrcGnMOlJzPcfgKMrMoOC++3R1j1aR+28kJyIjv8l+X7KPQKCEngtemSjxAGUKjxuhvj/6J+kp5buA7/jXuIPxULWFXhF+ov/ZnU/8+brBzw5dMlXh8PKL3fbqXwf/zIPv7R4Qrf6IBCCHxhqPD3Lw9wpcotaP/0cIF2S+fwgYkuS5zsTLCzamitGrUtPvud7+Ltm9dxOJlAALhxdIJXHzzApO2ytereaIhmS3L+gchCKny3KHGzs2SPvews/sHZIX5rOMZb9RCNkHipa/ClxQyfNrl17Z5UeMzpei4gF4c4e8amHPIMJmLXg9/WwF9ZdBP4tTjnzP/9SG6e3vy3D8r0m8FdLgch6W8///PeahZPOc55Co0HD7xyJoSP9lwuPd4SpSh8BOdzmkefUlv6bw4Fb4aJN93HYZz88WR65z9bFjXKx0IOkeYpVyL0uTlvXl42XYvzqHmUO5fH+DENxNSQwjlU9x7i8qMn2FfeFim1htRFSt8CYGEbfB0P175zXZ88854N9Tv3KEM/zgW5bKqLW39N8xU9WJsjLHxiiPwFm+ubYFSCVDMH5xzijMUthMFSLilNVYcWJryrgEUpHS7bfGGzDjh1GvdFgyEUQbN9i3K63gAzSW4VStfiXCQMb3QfitowT9ij2TzZMP/OPes2fMAPTNYP0H/0eI5fvjzG9YGnz1AAfnJ/go+Nh1hYCwGBSSEwLhQBsQ7AN6Yr/Jvp8/nYrJUNS1KC3Nd/y74IdgDjC0E+Ftgt/TXsaZN8XXlsXGTppzahQlld0fvE6a/vfORl3Dg6QRkyBwgA185m2J8toINLRWEsSmOytWqpFL5x/YM51H8Q2VN+IBlY3MZ/IPVh7/eNY+bZ9fs3k138pePH2A1vV/AUGq/Mz7BanMECqB0wAlAw0LoD8C9HO8G76+L98EKqNT8gZZsvX2zaFVwXmOHnJ1ieeVO+KgoI+GglpQpgb5/eIz8wTd/B2OBXojUevncXgJ8o1269RBNmMB7hqbvoUySLzIJFd3o3/EFgOhlTGWVZE9RYXDqA+JW/Afzzf+EzCjjnHShWK/+/dVJVwJe+BHz846zwfIHiiZFpgWC5JoViybV5c52FsymKE2GD9IpTWmh9nj5JzxAkYDrY6GsECRvqVZR7uHI1RAd2K3Sn/tvP3RRf++ofhPIs3n90SLkzuznT510aVyfTJUY7fnPuNIj4lStuzTRFOPJnvbNX6i6e63Bel3j7YILXHs1QBPhAWAvV2rXePw7A3Db4/e5dnMl8EyoZjYQ2KddkOagpiqwshuR7KTpPKwL43JhJF1cYh6g+XRhMRqdU+Hy4Q/3z2iuvogoEl219SuS042qA0dDPISOWsMYfBJSRIDJxZ6HFlNq01DMqY/9qidh7qisRQ9Kqcgmp/DhptcMiRLTuiMu4NrkCADi29+HwpwCApTF4dObLlgq4vBfJQoFLwwRBntkBteneqsAq9ENjHbrgtyaV9CkK1/hdLmdLzMwMbdHhjfc9VMsdkgohyCft6tVLGIY+u/XSbezte1j65su30Yb8qcfHx3jvPU+xslwucefOHd+X1uL+4aFvgvBRvBS55zrED65NGnxSyERgzE4Q3l0g+FQ6gy7kAZVSYv4ownECk/GEBq4RLlMiSFFXiu5RhYRi6AnfCyMiJwA4I+g9mQ7OXvzEWPyn7xzh//TaFexX/oCiBHBQKRysmR0GwNuLBv/PBwuc2L7SxCBOwbMTpjoqpZg7BlOMHdhmI0A5L51CqSIJNzAZnY/CBHr5o52juoyHI4xHPDNFWIO6DkeR2ij9DMBBMYW94nCWLGksDKoSRZjv4qMfw37lr4dlhXe+/W1f9u4+JuM9//t4jJ3JHr1q0bTpfMRq1+6X+O5rr+Lj33snKWnOYWAM5+tN1RbAqijxxkc/gvr6ddwIHf3Hh++dv/nPk3BfxKjJIky/cwesp8k6Bco/c6wq/NfjXfz9+Rkm4csrxFRP69/UAPjX1QDfqesN794sPzDb58azX+YUeV4oy8Dznl7YZNz06Aed9mnts0+ttoD4zGeAtgW+/GXg8ZOnZxQ4OAB+4ie8gsaU1365KZODL2PtfT8UL1HShJI+yMP/kVvJcqvOhmt237OsTufqse4vcXwJhwdXdiAc8MrpCoNGb0zzZAAcixW+3r2Hd0VMY7O+n8+d4VKsPLtvc+XXMdTH8pKiyd+VkRds3Bwzq9uaajjyLdxgacq6lJWd+UOlt/GX579zhTl/cW4ZvPh4fdpYyOvHlZNk3eC8W1ImP6d17V9nYNxY9qY2rO1/nPvHOQtLr03ZNasvd+XNr8W5evNvQz5vDviN2QrDO0/w713fw2uTIdSGpnQO+NrZCv/VkyW+0diM1b9fV15Gz934Quvw5nG+oU+wYRQJfk9vLm/4OJvKcxvK5uMqH0vrr13okE2z98HLL0NYh1fu3sN4udw4O6wQOB2N8M5LN/Hw2rVz7/zRlU2tcBvvSl+yxyrI5sbayfgUsQL44+EOSufwV5Zz3HKGkqavq9ljIfC75QC/Od6BFuK5QcItOP3DlrIEfuqngJdeAr71hs8ccHycLGhVBeztAR/5CPBjPwa88op/ZisfuDgpcf/aLsqPv4arpyvU9x5AzhZEJtwJYCo0Hg4s7hUd3mnP4PGqP9t6/0WUmdA4cy12RRWsmR0O7dbp+QcljQX+xckKby4MfmG3xs8djPDysMKkLGCcw1ln8M5K4/dnHX57rvF+sz5R9FY+GLFK4d7tVzDd28WVR49w+egEw6ZBYQycEOiUwmxQ4/DyJTy6fBnT8RjnMdutfBCihcBXRru4V5b4zHKBT+sWV6zFCA4CAksAh0LiO2WBr9cj3Kkq6HXkoReQiydL5w/1/ALi37RJjOPLkyeYh0i+2ekRHt/3cEFRV9jVHhZRqkRRDehNuzsponM0HhFEd74u57VerwzzU024V1jAHlFdV4sxVViVBZWhlMImi0F+eEpwTezzopC4HEhBIQSqOkV26U4DIbrRqLSIFdduQF67AfzMlwDdpcABKSGKwvukleWFTpapX1gtlaTIMSFlqixj53bCQZsQuWktjE7wk+MOjs4EagGAW0c8e3xgm0dBuQQLpVAHpXLVtXjy2I+D+XSK08MHoTyHYlCSVaxrE1VGrVhbnEHXeOV1fnqMo3vv+zYpiSLAGavpydOVJoKHUjYAJZVPrAxAX7+GxScvYdl20PMzmJWH/U5ODnH37nfQiQJt0yHSbgiZIwuGRdmBJWtWZQEVSJlH9R5KGcb6Svv/ARjUI0wG+76awsGEvKNt00IUd0L9HTrdUF+ZtkNAqjA9naILGQ0KtQPbBuinMBBlsIiYEoUeUxlaaeqWSEYLAKNJiiJcHRm48G0LdChDJw5liZHy97WzGR6f+r6y3TEOKj/PdguLnbIJ3SFw/XqI2gZwhfnE3D2tYcK4Wp4ucRL6pC0HMDJCwwXqssBjOPzH+iswbaBpcQWa0Q4mbgdKFTiFj8S0LINBK4eUSeBw1qBceoVODo6xCLBmWVYoQiQqConhJPSTBIraj2FhZEauzY3eJmPZZzlypeSLUG4VtimX7U6A58qqxGc//mq4XeC1T7xOc/8bb76LLhwamqWGDlkkUEiIkAbLGkGZ3n2bY1aHBGv6G5mFduN53s/xzgLfXLT4zrLF//vxDJOqxrD2CrK2HrpZOp9MfVO+0E2S5a8tC4qYLYuCYMqyKFGVfuwopTAa+chNKSUGg3HoK9A8BnIru2Dkx23TwgRfgpOTE5yenvru4JRAUmFQhwhnKTEeJxjUMp/ggmU6qQZjBs8yi5i1mAeC7bbtIMMYq0cjXL7u+S9H4zFuveRzEzsAy9VqLcRpjKF22Vu3sPjEJ9Bo7Q+SxgAQMALohIApCgwAVOx7GKr7HTyP/EB8xl5YzmET2X8AAKUgomDrNCLtj2Aog3Mio/nKLf0X2ETCe4wQeK8c4F5Z4TetT57uBMjJyEhgJZXfJ1yqpjHPd5C5uIK2BiGJ12vNitYSM70xGjZu5IYlkbUim9jW2tx0fNHKPaW+vn6pDOds+lh90+dzl5EWYMUmLTdp83Y4Zv53gKfOiIvAB2GHFhx8yuu38QOScPjQnfvLWkPwxvEsWCJzpHRSpqt5fAABAABJREFU1tB19B/L6oh0KdfUkXOfSTg4GSed7Y1B9i9W+axPepAXigKuKGCEhg5KS7c6Q0ffNYdncq19E27EypASKmwkTlhEanEpEqzm4GL+dkgp02tc7kORXVtLfnz+Ov7BJe4tJ2gz5km4s5XD5RxSAnqt14Zg39a7UKaylYiBARal8r9LBVTMbalWyRG/kpIUNIXEiSicIJ/HCE1aAE9Eg1aswv0VRhCQYa4RrUUGN6f3WOcoqby1ltYd2xvrCZaS2di8iOuF6JUvskXo/IAWAKNkEZStAEKgLguquxT+7+ek59Jwri5r7he9Hy4CgHUWOLEOC2lRSb6hPbtPNgnvq/5atX6OSlLcOHzYr8uGkrIAI2MM8VYaa2jTVMrCVTGxuKU+d33YlpUnJYcy8+/EA3A49KkY/ZGiRO0u85/jci6NoFJwVQVjU7YKnwXDKwqC7zMfKiXrg5PUzay/mTLiIeM1D27sjhfoJwEYCMyVghaCfLAFXNq/XNrLXuRbfIBxk1vZyla2spWtbGUrW/kg5IV80AQseKg8OXHrDjaSlZ6d4vCBh7NOT45wLxBAjsYj7Ib8f05a6ECgCQCP7yYS1xu3P0ani6Is04k6Mwb1LD2MgoHM3oXCeBhhD5GZp622ZLGwNp0mBUMn+mzUaw+yzmFKUZgCk66jF+yOJGQwtXdtAxPq2K6WqQ9Zm4qyRF0P6V38pPhsuJOd8qSkLAbnIc50nw6Rts5a6AAfObgeqzk7pdjE5q+UQBmgn063aFsfubdcnOLhkf/2Z0dP8Me/+6uhzQ0O792nPusWyUXCOtY24djRwRKmpNslVvOz0AyJIoyPdrlAOqs+RRjJpyoKH0Xs/5CdRLWOll9DiaKzzAXO5uWwk6+sCkSI09rOQ9wAFARKhOjH8SXs7PpoTSES3NOaFocrT/DatR26EDnpJFCOUl+tllNo7SGh06NTtOEbSqGxPPMQzf7lMXYv7YR2WHShHtpptIswzwTQlQnKlmw5WKmUPeDYLCkPopzexWEY69PpDNMA4wztEfaNvy4L4NKef09RKNy4leYfhEIcT6erU7RhvehEBxvIiatqAFl4aGtclxjHiNVuSTAeXIGujdkqDObW95tmbVi6CnFEHN9/AKt9vR88OcQgkIXycdB1HVahbVprTBd+bbLWYhUyYMABmn18nsdRyEROmgfoSIiwHinhsxoAwN7uDn7ycz8GABjUNf7yz/0cPXvjpVfpXWVdo239WPjW9+5iFiI/l9pCh/4oSoGyTBbeZNlE6jOBPGcwi8jMIFjHCFstm6P2PNFtvH8zXcj6GRndBYBgSQpzaDwa4eDgAABw5cpV3LzxEt1T1yN6djhKcDzPde64jyiDrAaDASE3UliKubp79y6+/vWvAwDmsznefPO7APy4fenll6kJy9WC3mvblEVkMN6FDOPnypUrBIvujwrs7/p9bnf/APuXvFvPzsFlVCGCtBqNIVnorRDJjYGv+2WZXEF4X3NLsJQyg8/i9Z8PC1q/DQxDYH/SLcsWoRTNOecEnwIbrJxiTTnrqpJcfBxAOTidzcndn1b755EX8kFDDxpM+pKj2WJ0h671Ph9t06BZ+QWuLIs0450lviTnXJb02rLEw97E/PT6nUOoydwoyFcp1jVFPabJ7GwO92yK8tlUuuFQrUv9I4VICl6k1QBgrSZ4xW/S4f7MdP8iZtc1UAHTAHk0mwPYxM+/xZoXr/mFt80i0nTodonl7BgAMD87xOnhIwDeD6QLG51PML+hXzMlPAmHzeESrYfr4/pPgTsyKCX2NUdEXc7Bln7nFen1D3cAFYIULscSZsMlJvRKVRjVfpG2zlIqJG0NLbjGGp9SJtRDML88Yw1k6DvdalICu5VGF2hIbAcoxEwEBjIowMICzoSFCw6OhedZ1j9WJLi1c4aWxKVeQcIr4rNuganxjOzWNhhFnw+X6FCKwmEwiAsl0Oq0MXemIwXDIinlUkpSmgpVogybmDEdHbycEVQn6wATiIMd+xYGyedw2bTkvyacQVMmmCn6EBljKBuAT31l6XfO+M6Opv5qHVTH7smibhkMVhYFLu17Tbaua1y7cpmevLS/R8/s70zQhnqNBhVtvhYaIhwglEqKn7VpAlnhwJef/tTgq1wSt+bqYnJxhSDnCUsZERSx/1dVhcEg+C8KiaoK/mECqIJPl5+v68t3THNz0iEOsJKx+TtrMA0p905OTvDuu+8AyH2SnXNYLJIhoVsuaQ2oRztQgR2+axvs7oXvef0Srux6n+qiLFEG6LQoSlLovBKR9rjYF9RDa64zNyCXMjZYa3v75fr3/MjKBqMMFz8Wwo2KrWU9V4C0/fN+4vv808Zwui9fB/Jn1qKr7mIuBVy2EOdWtrKVrWxlK1vZyodMvm+aDU5nZXVDMJkwLWV+l85RnkanLWww10M5KJdS5hi1TNe6AeKJXEq46HScQY4ba8U0VYHpoqPrSZmcpKuR81GeAJp2RRBWpzVBW8PRBKNgkhZScjSLLGDW8egMgW41IzW9XZ7Sqb9ZLggebNqWoDQfE+jLG032UA+G4U2CnMl9s6KdlptS2TU/KUkFF5+Vpf9fuBYhj6MQEjrAPs4amJaR5WaRLgyOEJKcxPXqDKtAQHz0+AGOngRY88kD3H/nWwCA2dkUd976nr+/Mzg9bqkpq2UaO1IJOnZYBfp+1lnEQLmua7BaehhNSQUXTtFxzAH+y7Nzc7Ae8NNpagc/PSUm+h6UyQ5GAtzixszkzAplnCZISUPDBUipHhTYCRDNpeFlXBv6SK5lt8DpIuSq1A5HZ/7aGANN6IfA/o0xdVarV9A6jK9FgzZYqhfFEiawvY6rMXTIyzlfaBwdn/g6WYNpmyDOYie1qd5h1jTlCOJcWE3fw3RHqKyfp41s0QwCUXG7hAzTdyIVbhZ+zphCYqpTTtFvvn1Effpe28BEy9xAQlfRCbxA5KgvUKGEt6I0usNyHoKNLNAsA7QrBezAW/UsUpRoZxKJ82zZogsW+sW8gwzkvkVZoggWEKUkyoB9WesoctIyZ+xYNsEcmQM3+x2pbH4KFukFEM7SGllKgf3dMd2lyvQtPvXJV8mCt395D6uQn/LR4TFmc9/pT06OcXhyEvqpxWLOcjLGuSwEyjLlzhSQbE0RoBA4Nt+TnfIphumLSu/59N5k7ShUQRbToijIuikgs8AiS93eczthSJUQMtk1bHJjmEwmGAa3F2sNlgu/pty7exdf/8Mv+9+7Fn/y9a+Eijo0jETWtl0CgUQiqj24fIBRgF4//7kfQyU+5euhCnz6sz8OACiHY4wmHvocDIcsSMX5a2ZJ42sgIT2ZuZC1lVtpYz/E+m6A3n50RJAuAOSAhbd0+utru0OUYbxMV3OsQv7cTihoxwjO+0EXsYwsUnO9Fc3nqY5zXJHFri5K1AWzxOuU1zpziHnOOfSCPmiswuzaWg0XmOXhDJEbsnXLY7XRrwcWMT+8cw6KMbQ7oxFj8/xGyZNYPLuVCcYTaLo0QIcmwaUClpQ9YxpSslbLFbT210VRwg3DwrnBfJ/7YDgY3Sbzql6RkmXaJS203WpJG4CzHcGDZVFSOW5jM5/i4xHbLWRS7iS/Tti8r3tMCGwo/B8OEI7R7zm+YKcoPtutoBu/uM1PHuHkwbsAgKNHd3H/Xc+cvZgtcXLolQ6tHVbLqPwAXZfeW8qkVDsn0gLoQBPCGA0dJh2kIojTw55MYep3F1+31kGc7CnvXxYnIH9TighE31Qtedks04LViF4RhZQYhDxs43KM3Xrfv9UCM5z6hy2wbJahrQauiP0PDHfKpCQtO5obutMwre/TdqlJse6WFq719W0XBtOT4FtlNGZRoZXAUCQfKlkn+MSqBDl6P7HY1wuoACcaaNiQokDoDotQtnISToUE8FKgiVQQ1uH9owV925MBg1FLhZjDQRgJFf6ghEIR62gldBeUX22xDIqKkEDRROqQ9E07toE1nUEXqDVW7QIIHGplVaEK8FNZlpCjBBlRpCdzX2AuKGukD5Osg5nS+IBLtVUAhoM6vUqmZ65fvUTzuh7VtDaNhiVOz6ahP5Y4PfXvbaxGxw4t0ddMCAFZsjIyFlteXeYGIfLV9vmVtPWYaq93WMRqitb0VDgyf3BDEQSXsgrzKH3D1rC6rqHC+GybFV55+RYAQLcr2o+M6fDgnmfed86hY3uI7ZKy0HTJxe/k9AiD8A1vXT3A7KOvUDtu3PK+dKKoUATYNkK2voz4f/Hf7Npu+L23H6U9bw2W/SKyaaP/oclm+DA2TzEoc29cYRjgcW0WRIFjrMzelR26nxviTOIYdFqKAsNw0GtdR9ldPOFNVuCF3h1lC3FuZStb2cpWtrKVrXzI5MVycVpD2r5ulmR5WZ48QLPwDpeLs4dYzgNc081QqOhA3GJ26vPaSaVw/CRF4xSMY2c+O4KUAYorFQqEEzmD3jxX1Pk0LQAIsoKzQCBjhQC6doao9bZNRVYUoxuCtrReoA0nUG2GxOGmGPGhQzpZOzhy0PX3OcQIIg65CVUQpFoOhpDxhK6XsCE0TCqZReZwSQbYfjbUZHIlS5dMkWOCWc0kgz6FkLAZUW0X3i8AKCpQSgspQ9+0KyJ2fP/tb+PxXW81e3TvPTwOJ8752QmOHx8DAFarDstlgqU4r2duwErmfWclRbsCyanaWUtRp1AFVLQo6Q5cqL+BYMGK7pz56SU7J607mToWDec2n4Ica4e3ukUIyyEGzQyKCpMQnbtT72C32vf3G4NT5edDIRSazlu6rHXowlgRAhjuVYjftms7xn3mKDLPJgMalrMGx4+9Ze50OsPxE39trMF85a10QgJNW1IZtmaktaWjILiyqmj8dM5CI3CRCYMiWGCl0WgWAT5uLe7c8ZZVqQRO2gRrH88ldfWyTvPZKAUbLZSNoe+86ATcIsKUSyyXHDoI8wQCxsQ5kNrgc17Ge9JMtM6l6Ny2o5O27hI8LQDG9+ZQiMhRBhZ64PNyMpN8ClwA4BA5+wSNeyGQUopZiy5YAbuioAAFCAHFiKJVARqsk0FFY/LS7ghFGCPvv2cwP/Hr7WyxwOnhMWKl4hqppER5KVXk8rUbVPfpyiTYUEjWi4YKF8JBiOTKkZumU79lhh023y2n+WLz3ToWaCoE8QVyNwTn/NiN9+jQP1mgEns1VSa2wglYm/gGI8xljIULa2CpgBuXQ+SzNSjFTXq+41Ysk6IFHz0+QxuiiTtr0IS59d69e/jqH38DAHD16jV87PVPAADqwQhXr1/35ZUVjQUBYFAmazbvw9yCy9Z7FiBhwTjRXOIFdA7QCRh5PumDM1ndNlubsq9BUDCrt+B7GXM1YWMCACB5YE763bBI5LpOwRw7Q4lx6MLZ0sHoGEwj6VoICSVjgIiDMSkbiUM+tqmOzI9rPKihIom2qlCEsVpKRfDqQgKNjgFJSC4Ga3vr6fJCCppXyIKCtprChQ1yefoAy5lfJBZnT9As/SKh2xVKFTetFvOQ3FpIiaJOs3Z3skOdvZgnBW2wu0dM3lYnvyClCvIf8f9O0WJUV+eQkoADbTOnMtqmIv8wqzsaBLqbowsbpdF7tMm6bCdOQ8Y5oGB+SFLkhLQUeq8KyKCElkWJiGDplYUVQQlUIikqbhPh4IZrZvsVQjKG64L6MvNNg4c2AQQSWcPqnMy/XkELfmftEgiK6t1HDygq8/DBPRw99D5oXduiWQQ/pdaiaSJs4IhOw7m+ggaa2dY4WnSFY2HR1sASwaSDCd/Dar3WdJxU5NQ/uc9Bqkvqj2dDCB5B4BAnv8nSZgWbyvYKmvdB26kn2AsQp9YN6gB9FlKhCxPbOAfDaQJ2KyqzO+pS6ywNT7gOFPa9mrY4lR7+OplOcXLkD07GGCxXLXXBoE1LgNxPcMHO/oCSTY+qmihNTts5uggPig51NOUboFsFGNRavH/oo96EBIaLRGx7YmvEftdWIPpBWKloQGhj4FrfvqVJidPnzRJNyDbghKPVy8KtTWnrFbS4ASY4UVtLSo6xOlGQKO1p8eEPR6MARcE5lDISioY5Gr8sU9AM0s+ObSkWNo1CxxBxa6CDUqbbFppHI2tN30Ixct9xXdJcbHbGqGI2Exgsz/x6O5/OcHb4JPVDpPhQCnujAKsJgb3RR0h5WzZLpkulgx7AxrNwyNjW2cYaf+brXbiJrjhFMtN3AgSU1q2ooCkpae57ouE40HtKC+T6ddKlOhonwgHWr3VSRAXNIWaTLyVw48puKM/iYEfRayxrr3UF1VfK97AItCePDo+JpuX9e/ewCMr3658w+OinP+fbNBzj6vUb4VmZlg7nUFd1gmTZSTZX0PLfaYw5SwcWa8Hcg3ABn+310n9q3Xd17P/jr3SXS9fGOTY3QO47fp+JriNpvnqY9vykds5lyrJUihSmnYHA7tC/+HRq0bXBncgZtJEmSCqClo3RsMtELRXzw/i3F/S9HVvHR3VJWXIm9YDcVvwnin1icbZk0bmu30sXly3EuZWtbGUrW9nKVrbyIZMXtqBFTb5bnsG03lri9AzS+etKatTRuDWQsDpYCUqFSbBDSikxqLhVKlnHnGmIH8rpBq4LDs9Nin4s6yFcgI2KskQZeJ8gwIhWXThJe/22KAo6CahiQBBnKQs6fQ1HBkVwpq3qIRJJLjfppygbKQRFfwHedB2176IaIOaEc5LlVGMnbGE7aBvgRVmQKV8iPz2xop8pPDLq3DXS8YXSMDlHEC/gT68p7sEiRtHMzk6hQ0Tu9PgEq6X/3tOjE8zO/LXuNJpVhIstIlpjrUjmHuQQ7rkAJAYzJnJSjoW4/J6N55MEA2QnwF4fPouHKJNzzyYzOT/xKFdAuXgeK1EIPz6lE5TnspQCk2CpWeoBRpUfz8ZZHAXrpIAAipRDVRSS2ivLAgF9hqoryHC6E0ox8l+Wnkkk6A4C0F2CUfWCBQmYNGY621EAjXYdjU9/aIwmHAFRR4umwTRGWCoBFdrtBNCyCEjdOoT4AT8P+WeOgSFgqeEANo5BJ2yRDas0DrxFPfR/WRGU1TWK21VTUIgD5RIWIrO9Jiu4QBaIAJYei8dr+dx80QpsOYZH60khBQUoVFVNFm/Az0uyjpgUqeakorFaKIUqfO9hPcBo6MdOs2ooUhSCpi4cHJrlgvp7MqhSwM+lmixo8+Yx8Q06IVI/CNFbfFzvv7F/2B25eZr+7TiEJJKrikdFIgdekZGEJ5w4f2++LK+f40okxxBPJxzWZ1WiDnNuOBxjZ/fA94c16LoUaOGtYb7MtuuokaazMGEOOZP6erVocCIDv9rxGY5CoJRzgiyoAj4/cegcdKtUnicm9oV0nab91hiT2AOMIa4+aw26mE7RGqxCsJFzDouwRruNaySw7k/91S9HFLhllKFH7FWSlSh734WWJuuI2cBDtixakxtrYzotAEOmM+wNS7KgDcqSYMZr+5ewG3K3LrTEovO/t9phGRCdBhKzLo2pyGcnACgU1JCDnRGNw+u7I9SBQ7FdLtGFaOmVBZaBm3KlO3QcjWLf+wcGcfKNx5qOBszi9D66ZRhk7SEq5ys8KFZAcC8bVQV2hp45XRUKkxhOLgTKUQzBB1ZNisZz3ZwiD107hQu+D/OzEzIjDyf7cNgPtRpCDEPCcs547SwqlZSCuqppEpf1JEF/SB1ZDUakHJbliDIa9POxSRYZOapTRE45HNO99WgXIpRRMAXIMjb6VqT+laoiHy8/YFPdhVhn8Mw3kfgvKQQNXCUlXQshCUrijOHW2IyJWjKlTkJT/R7fu0cm/ScPHmEx9VBWt2yhQySdNpGQNPid0XVuCpeqBznGgWwTZOIdVMK16SloJJuHPQ9Ug0yRm0IkQln0kuRKdg9Braw/+uG1ziV6EiVSm0pXoggw7EAMMZThMAEBBN+HWglcC4zjTqxwebIPAGiNxvuz09A6FzLIh4NFVRLtTDEc0NwoxkNUMdlzocBjBItAjilg6NqTQyf/vfbEJAWtlUSsu9CpfSvTpk1BSiD6iVYKYidExi0bnDw58X2pJMoQMeecw4Klme+Wmgb+QApKLG+dhQmDwWfODUnthWU5by25C2xa+aq6ShDzcEhR5c1qAQRo0THgzUKQgubHRPJZkpLvFmwssMwczjAFTdDjENYQdCqkRBGyD5RKYWcyofpF6MU5h4b5oEmdILxCWUQXg6qqaU3Y3dnBpf19AJ4YXEa3DJugG2sFZmcnodoS1/bGtC7cGOzT3Hh8dIwuHLq1EECk5ZGcnd2mAxL6SlJapzL9zNgM5uLuGFEpq8oKw0AzVNUV/a6N9Rna09tYgWwTzOZpuiXzQnCJNHpQDbC745Uy3WrcvHkbgM8qEZOdO+dwepoooGZTTe1qlxomwPGuc7GrMT2d4/TU74XD4Q7efdf757atRhHXX2tx9ORRKoP8BoHFYkF72Hw+p3W6aRPbQNd2ZKzodIemTVkwFiwLxmzq2yE+8wU8ryQUe9MaKygnMuCbT/8y6YhTIEH7GQm2NqTgepg2JTgnv08ARZ2u9yZD+sa39oYow5qwOxxiEJSnGwdXMaj8wbdlGTeenEzxvbse/j9dWLzXJr/GcRXZGoCBU7SbfvzGK6jCOLyxIzAIFDhvvvkGnhw99u/tgMdhygqpoCKpMgSN4T6p8kVkC3FuZStb2cpWtrKVrXzI5MV40ETiFfGnqmBxUCkXXTS9A94HMzo9qkJhEHLrQaRTswPQNCn4QBUlQYNCqgQLMBO4d56NrxLrTbgCVAYgfFABOb8XKdKRWVGkKxFVfMkc6s8bfVPZiudjlJx3hZnykeoo2LFfQDy3Zv3c8hQOt/h3zrcDVidrkkWyWbVYzv1JrVtp6CaczjUodZO1QDTGOZeibvpV8J8hWhZE9jszeqVrKVjgg0rwmpCsHfwb5d8r+4tMhLsXSb8heq/lbeFRpFYxnj1Rgcht4cgq2+kWS+dPuEa0MHRMLTCovBVY6sSh5ok5red4AihgBgDKqiZcpShL+puQiaRTSB7pplCUzGpM9ROe+y48pLuUW04YQVZG4XgMo6B0VFCAqIJVzwkMd0OKHiXgCmaxbVMwTh9x5hFtcT4KmcAwpQBVxHUnWV0gQLBPdtJnELoqKtgy5JAtSspTCyfISu3XkKxG9K+M3JLD5oLPY6SBIUX6fhKIBrhSSVSh/6uqRB0snnVdZTCOzJrRi+ZmcHz823AwwG6wxM5mM8+nGO6NEY/cqu7dS1LAwWh3TGvszniANvANLrVFFwMnMgRhw3rbkyzoRrgEY/fu4SnOolVI68R7aIyFDtHAQgh0LKSBUb6F97D1JoU5Ul2k8PAbAKyWczRNCAgzGlXtx61UMqUVCyBvbG9VJfirriu6rqqSAj0MRHLUtwangUS4qircefdOsPo64lRzzuHR3fvUL4vFnNbj5WpJUcdt1yZ3A62zvmoCJGuNSbCms5gHGO76Z/Bc4tC3+LCdjEXtMjrgLMqU839ZZ5gLQ9prpChQViH1lUy5sqUQGKiEZIzGie1hZ5LQqt2BIsuc0RpNZGJoTiGch5hXbYdViLQ9WTQ4OvGI36JLXK0QDt0q5QJXLOFuuxjBhbXmRDtimzg+OSEewpWqYWVw3fKNpD6znGVgLQq2WV5IQavCJgIAZTUEgv+UkjVUwMF3JqO0gDqQwiOkQBnI/BxSYKtzDqvlCb13ON6jRLJVPSSfsNFkjCqwQKtygKKIG3ZaPJxwtOFLJbETFi4AqHcPElwwGieTPfP1KnuUCut8kQRSOLhzCuOQbcABcGWdYA8ogmikTKoAX0g6JwjG44l/IVK7nluB435n4OpiuuYTxbIk6P5v6flmaageD+8c4jhEBLbzFZGk+nDpkHTaWLQ6vteha5nyyzfNhNpl9ZUJCUGhLMoA59V1hdE4sq1LyDghWrYOZ5jmeehShklflWlzLIoigzXp8ME2QCESjYu1+XtXi1O6Fq6kviqqXdRFGOvCQMMvmqfzR1g2fmKrYoCqDuPT7ODlq68DAJbtEtX9N6gdne6of4ajnUAkDDg9ho2mdZX4iKE1+exIJYlA0wEYBljN1zHBavNlWqBmxxoyKENVVUCGaGupJCpC9jVMEQ5eyiG48kCiwuWQaNpah+kqUWM0yzMqo0KZ5qJzxKpvVfJqkbC0ABdWooxzXwmMx368GWPx6HgeyqDXQxQ1KRWj/csUbd52LW3vumthTFpAIyzsiZ7j+mVhXMohC+aqUCJFWivHDhNIc1dJQTQ840GNq7v7AICrlw9w69bN0McV6qAcOOfAcrD7trAoxbhBF0pRnuGXX3oJLhxox8MR3n/vrm+f1pgFPychBEYBPpRS4tbVS3Sw/NjrH6ccmI8PH+PxkV/j7zw+xUk4kAmViGOdtdlhKAtqZpsQ92t1LKzPb+T+H7rriGJkuVxiNveQXFnVRB2itcZymbIjKAYbHR0e0u+np6ekiKVMLfDzwUZFX9G+IYSgQ43WHW685Mdt06xw587bVAaHuK9d3s36oQmZcVQhKLODhaC8sHq1xB99xWclGI3HeHDvQegngYOdvdBPFn/yh39IdZ/NZqwdHbtOfszGsGtrk2+os6QoOufIZ/h/9lf/R3ge4X7SgIvIOoRwUFFzcA4VoyKK7P0AsIKm7z3r5jAxM5C15FVybfcaruxdAgDsDMe4ecnnoy2Vw5VR+F5S4uWb16geJYO058eP6YD1vTv3cBL8+L731rs4OjwBADw5PsHRqV93bDWEG+8DAKq6xvWXPIGw0R2O732P2jRrjmguP1TXUIYx8saTBfnt3j+cY7rw7R3ceAWDAI/7NiZ2BKKGgkA9TIrmRWQLcW5lK1vZyla2spWtfMjkhXNxcviER1ZRlA43L/cgpMzszUK3JIcpmSXDcw1FC5zyUVEApFCsbNGzm8cLfsrr5W3r1eUi0o9KOv/7eesNTwOV+scBOF8270O4nmP9RcI3e7VIlVh/33rer9xqZ03KT2mNJXO7tSxYTCSIylO/nL/21U9jhQXAZUdwDnH2I7SSk78iCFzyiNOLSq8vL/b4ur46f03fjBVhYWGCqUtbTUEChSggTTwFux5Ul76HtYyDSiRXAqUSobCQjLMKOSyXQ3cXaapI1lwrEgOuFClQQ3KsN0GiDpKgTyd5bKMjaAcI3zP8RTLOKynTa/1r0vMJPmZNydad/EtSD7LgGKkUs8AYihwT3g4c6pDcKta9d53wnuXQvJKCeBLLoiD3j6pMEKMfw+vL6M/7dWNPKkkWsKqqMAjW4U5KLKkMxdxDFJRSBONJ9i2GdYVRsLgOBxVWwQKTaH8DUpDNmvXjavM8SdCwtckq2KwasviVRYnTk2MAgb8vRqACWcTr9OyU3jWbTgkNMcakOmpD47YoFFkOpZKQNBZymxG5xjiHqipoTJZl2nfquqCmD4d1mr9CwlKQiYSJ7joQPsoW/pt3dbQuW/CUgcaYBPvqxJpgjU1l8HRkPOCLXTvk68DzSfpG/l2xXBeiTP2vXQxocT7NWHykFToFwpmGLHwwlvaKpluhaUMwRSFhQkBSAUGoG5zDMgQ9AEDDIj1Pz6bE33k6nWIZ+nbZajSUE1nAUBQ7axNXGQTbax0oFzDggxejFXK5atEFuHTVNGiaQHKsNW2GQia3CedS8N3z7N9RXiyTACunHo1Qlr5h7ekRMeLzgS4EKPrKwcHYBBfQ0uscdkbMrl/vItr51fgqikinwfIbApyElNN1AKQIQGDIzIren+08bJh5nJwLJz8v5zflPMIo5ZVM1AWrZpXRf/D7B4FqwQoFrdMkhUgm4+EwJjp+9ocWQtCGl+1lLn/asShOZ1K/OhY59vDuEWJS2KNHc5yGvI5WCySehFSIZdC1tS4bC6Nh9E10KJM7IBzL/Vkg1b2qWqgiQJyTMXauhGTYooRU/rvq4hTW3Q3v2dw7UiS6CcmUPdd74tm921OuGZSyWmlqk504op44NUdAgPr0iYA5C1FkxVXsRXoENJiHiOOmsz5iL8h0OqMxdWl8G4WMZIkVRPgG89UZOhMWqOkUq0C23JmOsaMKCJXmCuVldQ6qYEzmC0XPFGfjFEVVtkARFpzhyuN6AKxo0RZx41EoBh62NcZh1TJ4sEj9NqgrUlD2dkbkm9V2mubTamnRhKhtVQFFFULhJVANQnaDDmg7TjjpxUDR9x7uXaIltywL6MZvCvPpKRZzrxBICGIGV4yo1miN+SLRIRQMmi9SECdUeAcQQv5DRNnOzgi7ux4yvLx/CR+9/dHw+y6uXPaQjlQKTZfG0XA0BIc1o7Rtmx+Cg1y/cg1XLnkY6GBnD2VwNzg9PcXXvvY1Xz+lcPu2zw8ppcSVa7doXR7VJV3/0s/+JYrU/c57D/Dk1EOOb71/H2/ffej7XDtEvuMEVp6XrmPrJF8jmC/HyckZ1NR/j9/6jd/AG9/8lu/DqsBu9D1ylmAjAOTC4pyjqH7AQ6SOKTB0v2OweVFCBWW2HAww3PUw48GlS/i3fvEv+3tKh1dfe4nKuLyf5kxdpT3ktY9fo++grYKl9bAGpFdy7z88xLe+/Q4AYDZf4Pd+xydkL5TCxz9ym8roVilS9OG9u7SxGxa9KpDGG99xDJDWXAB6vZfHc4n/XKGf2ao+X07x9jv+GxlrcLh8RM8UV3aTawySr0rTLOl7tIsV+d7dHO3gZqDDeGn/APXLrwIAJqMRXv7Ya/7+VYt/89v/ytfDOdy5nyDtr333LrpgMDg6eoxO+0G5/8onMTzwGRs6DGB2Qv5TCQT+YSgFuDrmyTY4OUnj66WdW9SO3/ydP03Zcx6/T9Gy7aqDDd/mxzTwmQDVOiVgg19d23Y4Dv6HShV4OUDaF5UtxLmVrWxlK1vZyla28iGTF4c415iun9uAl1lQ15hTn2Wa7VnYLxJVBHwf9X0B8Y740UplMq6x2ABhLUT43QoBHYlqpcvMo5sgkIvAL8+GZpN5vX9y921g7WFQ6Lqyz8Mf/b+Gpy+KtjGT9LpnXzQKdlOfXOj+zXchf220KG+6ZrC3SLx35/rP9Wyum6CjeMH79hysH34W/fdkb8gvGewOGhes2wTWtju0sNeU8/3II2n7wyLNV7H2+lxl84dT/db9PbOWc7eK9YMt8mwluJnXOxuUvcfXv/dpqcU2wrbnvlm/SSzghuUoVkpS4ILPY5y9de34zt7FXESiXSX+iw2D3rhh12LD3/iawtdLy5AJ5yC4RYx1cJZOh73raWseQYB9GIW1+yL7Sd6kTd+f92FCJvqQVx5AlQiJrWQR9r0ivg8D2XML/0ap/2yyVArv/uBYajDqXsvawACIPFDNEduDsSnQwRhLFt34qQluRfq0/esomZuE2zDnXArqSfld41wRlDNYsDVCCkYezueyE1me7lSR5/9eL6SgLWYn9FG6xbEnlQUwKAWK0pvynQNt6nwxEFIQLAJIGEZGVzPI82y1hENM3u0oL6ATBW1ivfUlF1Zef2NbjwVzbPpiEGK6XUKmEJcMMvvqV7+KNphzv/x7v4uT4FNhmY/B3niAvbE3wS4ajaOph2uUUhiG6NDRaIS/9/f/NgDgIx+5krVnU/14O2myW5v6yli4qBgaky1yumvo+XfeeoQuRK6cnS6xClkCIEF+OppNIikSHQKcI7YDyVZvAWRZJCSH3QwbyTKZ7qvJDvZuethByApS+bGm5WMGla/tjvCMoHHhslUiRdSiN6HSNVv4e9kdJsMU1Xw8Pyb4Zt4uYMNi9XD+GCfdKQCgXQAhSQDGZoFLYQ40doYHnY/cNE4Dg0SBYZZpnixWmsLDS1uQGZzlEIYsCpSBzsYKAMFvwiG5kFljcfLkAT1TqESNM6z36Zt0TwATotiWaKDDvBwcGAwOQg1LARmiroR0WKlV6Cvno7ngFVAeeq9YVOCwHnj6AgC60CmBebuCDVHiVjPovLU4nXo4w7JceZwUR0Ejkc2mL1vv7GEQIllHB5dTEm6XNn4Jh0EcK9Zgb2dA761ZlGnXsghQm8hbR4MBygDZXj7Yx6WDfQDA7s4urt7wkZt1XaMLY0lrjZPjI3pXZ1N+2apK0a5N25CvDKfFkUJBhnH00s3ruH7ll/z9TYMv/fRP+vYJgQFz99ibjOl6uVhQm0qlUIXyfvzV24jhe9f39rAXoqgfHp3gjXe9W4FXZZK7AP8GTZcmkeWAjU1qnV3p8K2Ax9O7OHn/XmiTg5KJ6Z2zjfBr71d3HtOzNiUQ53uQARBZFK7dvInXL/tBPJkM8bHXXwv9tsKTR3f8G4WDqip6V6ESAXI1YHk5qzrRtxQDiBDBPdnfw/5V/83PzuaoJ5dDVR26pd87lZT49/7+3ybo9tHDR3Q4/+9//dcpE8HpySmWgULDKz3n90IJBo2JF/dBS56uwTfwzBO8Hh49wtd/9zdDExyWyxXVoT7Yp9qUdUV93s1WxBKwv7uP8cCvmfPuGG9qT/b6blnha4PvAvB+lFeCO4sxDu8+mVN7rl3eoZqdtCkP7+FUom0CZN8VGEf2BNtCGg+hO0OeJsCggQ6+moOqxP/yH/yN8AeH1fKU+uHLl73bBQCM3phgMfPtvX79KnZ3/DpipUG79O04W6zwMFB5DEcTvPSxT/uqC4nmOVWuF7OgPeXgyv27+g7e9ABRUPSsNcxRte/YkJKPOzzttL2uHk+TrF78vc9S0tyGdvRqljl+Wub4yUKkLXP25M6hEEkTX5fyaUODLt6GC8saC038B3XfhnvQGwfn/ra+vpvqnlGHvED7LvTMU6xPL/rOLGB9vZEqP225dWP4QpU5Vy8BZiXaVDj6hxeWl+Kpc2j9/MmKOL930qPrv/l6apvzL2avyiw752uX3eSeMu7Ax1d6jq8TAsyS1K8nq4hIN2VWkyx7xlOa97yjm7+VBx+c52jk1V3/jbO6x3dt8GtNRy70rs7/a/146Vm6yKhhMwsHpzjsW2vXDZe+pWTtnrBhLAghzlXvImuVWPP9hWDZSZhF01mbjRfPvZa+W3qnXFuGg+uN3VTdtCy7rB65PH2EiU13OLDDKrNehn+nqZJq4th3hUvvtezkZFmQlLeexn0zBUYQsLZxOVv3XfpexvkTUchP3rmMtksyHkmB3KJM31LwoyfrE76mirx+F5GtD9pWtrKVrWxlK1vZyodMXoyodjAmDbqc7MN1Idqy7SBCRJuUNj/B0IWgMFCX/yVThwthECMHJcvHKBzzaRE9YIoCJFkcobUElwCAsl3yl2Dsxr10jGv13LbrsFx4U6kxBotAqAiroU8OQxMc7h7eo2f++b/8DQr9fe/OHUoubl0KnR4NK4wGVSjDYL4MkI61PjEvgMlkgtde+ygA4JWP/DK93zJoVnLjNjsueeLCEM5tTYK4rINr2vB7nutOuwTdHD6Zom1TaoAYnWaRorGEAH1XAVDSYH96jNeprgKAkClqbTCskzl8Koh81SlFH2O4exkHtzwE0a00ltOYTLxKPnLg4s+AcbxYlgEDTgMutr2FC7QX1hkYuh8p0ls4GJv6ihMKd6vUDpuQYszmcyKxXLRNSgJdDFHsDkN9j2HdNwEAK7vAg8Vb1A7DIi/LOkFTJ8dTiNDXFSaQwZRvsIIN8KPniCypG4SkyYGYvV4UDvsBegOAQZXKUCLNuXaWiDIP5zMsQp7G6tii3AtjeH+A/ZcC4a60WIRoUjjAtmmW+rys/t+LRQcZxsCjoxM6wUpIxAwHy0UHHSIBnbCwAWowxmIZwgilFDjY3/N9jiSCQ9ci8Z3zBOCuZJHjjDZGCiAmQ5FC4KUrO+FhB2FS1GDTNFSElMlSOahr+t47owl2AjQ4GAyAACVbqbBk7Pju9JTeu2Ts45PJhKAv3em1ULuChKIIZQkVmEQHpcRLt67HlsOwiGPTJOqCkoWmGusoF2pZSgqQf+XKZeyMPaTzvffvYXrmn286jYcniUTWMneFmJgaACwzgfmZGPpKMshSpCwKAhLZRONbBfvZd9V5FwXOJ80zxRiX3AGclSgLD18rUWIViEfbpsNymegjhEjjRKoB1X0+W1GmhpVeQIdvcjZf4SwQ/J5Nl7j/yH/bptV49Hga6mcxZblRDy7vkoXyb/7Nv4lhiCIejIZYzH1fv/Xmd/Hksd9rlsslwZ3T2QwPHz0O7XPQLCI4LnnateynZCG0zIzF109uQVt1K8xmvqxmaTDCgb9HSlw+2KN3XrnxMtt60tuWoxlRNd28PMHO2Pfn6ekZziIcuL+HvVu3APicrAf7V0J7LMqPLOiVpw/v0SK7t3c1Wb31BF3Yp67vHOAg9N9oOMJo6NfIQVVhJ7gNdc0Kp4/vhs4R+L0/+G2q73gnrYWvvnyZ5t+VvTHa4C5y595jPDzxEayH0xkOQ87TajjEOPSJrktMWV5dMUtz/CLy4qmeOCcT0Zcn818f4nymaa+HRYo+xBlvO1eZNa/KrvMnMlN3773PMj46l0ywxiZ+E2cNKYHOcY4YYLlcYRUUtLZp0YWJY62murUq8SS1rYEOSpkxBk1YwIuyILbtTbCB47DUutvwFLRqjSMyJc62dj0fWwYtZG67WYHrzPCkqDFchjOlpPDudJOQaeMx0uZtZcLr53o1e6Z/4RoY7vzPT8H8GKbH4W1rmY8eHOnRzlnY4H9j0cG65CuGkCkhYOjUDp/2KWQ1gCVlhrM4CeZK4CG2aL5PsIpwIPgKiH46cdU2aW44S8PD8+CFOaAtJFHC+JaldoOuqWvokvdPUAqMzcaSjDxqm4IhEooA50ApjDYBaudEpDmT+olhLz2IqqSsKA5gfrOcrZ73nyqKjHOM+MZYcnUuPFgE8HOf5p+zkI737Zq+QTq4xtREsfKRNZ8HLPm5Ydf2T7YWsi5RUqKOXGtFQWl5tOkBMdz3tdfGdV8kVwr4GnaRVbkHI228J1VrM8SZTvw5JOeQud8gzSeG8MEyP9yu69CGtbtpGq/IwytoUaGz1tL4EUKgaRqCzIqiQFn5+T8YDKiQuh6gCr6lPNWTUowTtL+Xru1z1+vnZ0gvkCMmmxeQKGRSXktVMR0gadGFLMMB2adrrEIqskIqBusqFOHApIoSKtwDZ1EGBZnqEGFGmZKaS6mgVLyW5LdeSEXJzquioFSTglN2WUffCwBqnfw+lZJ0eKxYejQhkoGi05r81GRtiKIoJaqLXXeBvmayhTi3spWtbGUrW9nKVj5k8sI0G1HaRsNGIsrlEggRnWWlKIrJoZdsmJmnufM7jyIb12O4NSdV6zh0mp+ukyOhTTCE00CbTPkaI9K+i3IXLpxsdWeyk2l8c1VVqIJWv1ws8P577wEATo6P8Xu/9/uhOIvm7HF4Frj/5IxOVe+//4AsbV3bJZZrFjCguxbzecolGLvEWotVgCCVUuke1h5hknNi16yoT9r5Kbq5zz+mmxl0F5LnmpYgLms6mEjwaS2ZxR0AZgSE7jTlHytZ5GXbOmgTIcuEBwrh/v/s/VmsZkmSJoZ97n6Wf7tb7JF7ZlVWVVd3z/Q27OnZKWkIUYMZQISGkEARFAUSIPkiPUjQix71SkACBUmAAIIU9CRI5ADS9JCSZlqz9vSwq6u6uyq7qnJfIjIibsTd/vUs7qYHdzez8997IyNzqqsLM78BVXniv2fx3c3tM/sMGeUwhlAWYi3LJxwDg6KU/rMOfFh2Crqe7u+hnMVxcfv+K7j7coR5Tx8f4/RhjPhpN5IteXhWNMPDoVHWC2MGd7NzKgieqS4Cn3+sIRhFBUlBLCc5ES8AVMWYnZmLomKLX9t5hGR+n1iJsCTTAoj9GfoNNqtMuGrQq/x/ZdVxeS/mHaeD3CssXCKtJdvz5DJe5lkgIeZ0IFQ2n9qBmSKHntQSqTg/P+fT4Xx5zmb9xXyDZSIGnVUFqlmyznRAs85lDwgKvi5C/gbBeGFk3zRSSG885xEdlRUTxgZDsGnMUIBYrT1JKJ4FQ5/XH1C3bDlXWPYMIE7wW0aHwWvVs9oBfzQa8elaQ5xlIZHn3nu0jcy5fG2theMcqSkSMn2m2zTQVkddjrxS+SALx8COboxESNOw7FYtxNbUymIA5LO7Dz2XvXYW5SRGvb1y8wi/+Gaci2fzJZ6dv8efaFVr9XqtH8w38NwqjGFApoCBZ+sMwep+Ugzp11ol1OUgZa7qz15BnGfnK3z4wWcAgKYNmF/EdbLrWgS2DBLWC1ljLoJYWj757BEjJM9OLrBcxblxerHEWSL43bQ95gnuJAJa1Sg+QdnGGPzO7/4u91zb9ZxxYlzXbCGeX8zRJ/+RW3duYW8vQu/z+RJ3UnTwfLHAOz/8EbdNXts+fypRwtriqCklYuRrGqsAR6EH79Gl7BL29m188y/8pfQeoChk3ShrSWReVRXXp2/WyItWe/4YJ8sI9c1XF1iu4j5lRgX6LkKZzlRwaV1EIPRPxa3g9Zsv8fXXX7/H+WgteuQB4GzP47vvWvg+zTPj0XP3eUySa4SzFrduHvB721Yg++/+wQ9Y//jhDz/kfKsNLPo0Vkf7+7iZ8oW6skSZchzDWZzMBdakrXXli+QrK2j5Oxr+Cj5krAMuCEfIdYvmtrnParjBOUlWPHhGv0+eD0GbYJUzSfDR1yzdTcELvKGhIhWSrZXGGJWSBq/3zGq+WCzw6NHjdL/H5uKE6/ToqSSEXi6X/N44DfREyPBQgNccCXlx9CqVh0qxNPTLkGWPQi+wj+9ZiaAg/m6aUmLAHxQ0LIUE2eaySts6C8bjjdEb2VDh0XrQIDxeR9YYlXrLDDfFfF2UBao06at6hDqFZ7uiFK6ZIPAYKYjxkuneqBdrOF7dsj0mtT8Ff8MQhmNP1a+UlEU6Yiv4Pm6i+RvsExMAkxXjXigUQAO2dY01dd4jIaHorYcQG5DYxAm8GhAZFRUWWBEyBpwwHkgLair7snDs56b5ifo+MLM5BWJ4lQh8+CAMo65EuQBAlnvHq4ivPhAnO/Ah8IZEUONt2FECR2mWlC8p249J5OuLvVBvdDl9Ur7OG8c23Y1eZ/Sh0G5lQxG0OeAqCE+P1aDzrm2NYaeW+YGKo1wUBrCoulFDp9aCFedRWWJ/Eudi2/UMJ23HmtOl6zznVNkHv28tBAO5pg1It+/W3/THc50U01DfeaaJ2Kxb4eHqZf2T9TA908t7l6sNVun5s/MFb94nZ3OcJR+9tvNYp5RAug22R9/Z2Tn388OHDzl1160bN1AnuLNTvolVXbGCBmOwabMf7Rbkm9qh7dSpGzIuNTSv2QV6BHgeB8iaO4wrMBsJtRBDkfzi+J96NGIouNxYHp/t4kmkkQHQ+Z5T4IXQy95GHjaNjEAE6qT9x/sTLu/R4R5nIKlKz4aBtlkgJL/izbpFs5G9gkgO2kVqY2stU9AQEXovCvn5xYLdix4fP8V8HvvVjCYwSRGr9vZQJQXWOMepyIIxnAprsDW9oOwgzp3sZCc72clOdrKTnzH5Sha0dj3niIyTp0/QrqPFqPCnsCFqlzNMUFZJiwxg50ljYsTRthBBkqkCaFYLdsYlewZbxJPJcr1mbdYZD5chHWthk8UthICuyWR+PcLimN+7DhtkNdaXcz6tzRcb+D5Bkb0QZe7tzTCdxVPK0+NjvP9+NOU/ffoMP3znnfhtECwnR42JWrleCgrTJqeua9lsSor/JT0FIObnm6ZT6v7eHl555RUAwHvf+0d8p1d2/GhUSKelxQn6ZKZtFyegXtrDZBN96OOpJbVZr06Jq5WG1wxbMayVpN1NSwidWACEUXpY5fzvoQHLoB45OUsaqXfbd/Ap8u/W3ks4uhuJHW/cvovDo0heuDi9QJ9s1d7rNsb2wVT9UxXGFgyhk3GS2JgMKLdDCNyvlkhyboYwiIbTFY4RlQlCNwWciSe0UVlyOWrr4NJYLw2hzJF/tsZBeSeVmbD2Hb+9gJzom80aPrW7aSrY9I1qVMClCFtLgM1R0MahTKSZxgJFzqVpwNa01CRSIyeGiQ4ebSKLne1PMD2IJ839uyX27yZ4tWjhExlkIDUuyaDJbUWIUHluCGPYLObbjiNNnQuwlPvGIkePGOthbcqyURo4k+tkGEq+TnQGjxA6tihbV8Dys0axoKu2GJh2MXB+xpYVK9/btR2PkdIVCM7zPdoRvFgKUek0QZzGGBxOjq78vteWfi9wVN+16LsUZUySkcIYy4nho4tBTtoNlE7eG7xLiaST43WeJtbB8dw3bA3fn43x2ssxOnQ8GeHWRw+4fI9OJZbW66aCuhaDMLwh5NnkAngdMlDEw8YMIE41iAYBTJq8V0OcGlrykIjS5bLBwwdP0hsLvPfeR/z+yWQ/lZXw5HOJHDw+PWPr/bsffMpWs7PzJTYpAr9pPZouc1iCa2KgmPahMlJA9kgA+OSTB8y9dfzkmJ3Ub9+6hVmKCO68R5shUucwS9Y0AnDvXuwb7wMePY5IT6szMRjD9XEGMNoKyePNsiVZL6vOGBlHhmCNXn9VfTqFwvSt7A+Fg0uWe1sUbLvte491yotbYIrDRN5uYHDv6Cg3GfZGKgtGc4bkYYUA+T1ayWJZajPGeJLeZSTauet6nKa80t4H/OF3v5eeJfz4/Y/ETenhM+6bFmMUs7gn7906RD2N1+W4AuXcydaxMwxBYOLcXl9GvpKC1rcNK2ir5QJNSiRcYYUCsbVGY2Feju4RqaONTpw+lNioqbO6Bpkqw27WcEWs/HpxgU3y2yhtjzIt6tYWKJK50fcem3VmMu/hF+LftejkGw0aZCPiydkCfVLQmqblBX3/4AAHBxGbPj4+xuPPI/P606dPcZwGPhD9BKROoogNiCmVfhBCj77P0ZoqlRIEPitLgaDqumZKhKcPv8/fvcwSnXGiNUzCwfp2Beat2DIjc2ohFalHRIMkx3EuZtjuagQi9vVliFNDg/F5+UdRiGm9V4uH954X6aquMd2PC+V4uodxCvMvq0rgXwoD1GB7GVelUn1hWTshY6MikO7PDWGI+ChhBmGDYbARDOstdbLGweXoPRhWNApr4bISDqDIMICxGBd7XKcQxA9C56fou44VtA0aOaQUKhE6KU8kazkRujHEvqEAwVqBPQYuek7aKlCAT3BDPapRpoTls70Ce3spCwIFLClTuQDkJQl7VraJCOoMNlRuvIxLH5zyV9KwbYBlvzyDUilluZ23CT0FupF5FWGcfJiwSkmV0UKX3nWpyJdEw5e997CZdoYMJ1E3xsjBjCRyzDk3UCILFZU38JcLgUeCV2l2fC/rifYjiimL9MYscJRTYzVQgNVtrmDN7ANoDRhCGtUlbhzGedl6j1mCh7rew5L4yF4+dl6WAIFGA4liZQApEwFkdSdI2wwUMe3ztoVw8tqrZlPb9GiTUWE8nePp09NUb4v796JSEEKIPpipH87P57xhPz05wzzRT8znG6YjCmSRlbJY2ry+EAz7/pEkfd/yizw7O+frxWLOe+Z0OsUkKQWeAvvLGmNitCeiv/Z+WjO7roM9Ti4z0hwwCgY1CuqGwSC6U5NVyy2GywMQbKb2ybtfbmelnfsg7QdrYJnDRg60IQR06ZARfI1J8tO11uD2jX3+RmXFpeXk6TPeBzpfcDsbK24dRVWgTmuWNUBKWILGAou0nlDf4fOHD7kcP/yj97i4Z0vZGw/v3UOZoMzx3gGmB5JJAEkXISMOA0NYU61lLyg7iHMnO9nJTnayk53s5GdMXtiCph3n5/MFm+8v5gtsklnyaBIGsGaO/Aqkko1uneg0RLfeiOvo6fKYn4GbM9x5cnaGZSLnK61H6TJU4eASjNP1HvN5ilokj3b+OX9j1coJctU71nQvFmtOzrpZb5ivbDwe88lkPr/Ao0fRgrZcLtEpkkmvTvOkrETaQ96RXOv0TgMn1xCYJ2c8HuHlV2LEyv7+Pu7ei/DX97/7I2k/76881Vt4mNTOq/kz+EQuasizZS14z/nRoiO4Mk974iPvaFSypa7vhShTw53WGiZ1NVYg23j4vgxNZLQ3n4TKQplvLDLnLarxBJP9w3hPPYYPObos5guN9ehU1NrQyqGdva3dsqBlp2wCH7ctCEUuo/foNymqa73C/CxC+USEZiPn0WpP+j54FcMWAkxq06Kq4Fx2SBXHWAug4ZQmDqMym/Utbszu8nvbXpxW39ucoU1Ox31YApQdUmU+1WUFW9pccUlVYo3imwtoSfLoDSx2tecIuhv3xuh6DaMm3qKJR2vi821osc5kxjB8kgWZAcxPKjK1qqxYVB2BI1DRISRrtrMlXI72LQjMtRYMPJNxWhSlzgCZi2EGVihSbgjZoj94ioTXyBiDPojlqFGO4YbMEKZNEihweKCByo0ahgmlc9y1BbFbByEGHuVvx+jO+O66luCN4MX9outahvfbdoMuR9NDkllba9ntIb5CyucqWQvtSFI6bQc7MIGwtRzI4EBIwdmoqxIH02xB61FC+vsyxCmWY7bTBMOQI8Ek61NsH251M9yDNHLQa9hXW2UhLh86BCJA1ohgAkKaW2fnc7z/7oexTnWFV166nT5Ng+j6pydnzHk1X2ywTJHXmgvQwPI3jSqHASSYxoAJvfmPSZxCFybTsQo4IbSpn5fLJQfWtG2PVYoUbdsOfZcTjZOC/1XUrrXgvjBQ67jiUzOFDG8S9NIYg0pZ0AxDzzElkoausxSm4EYPZYnOZ44zoE2E08Y5LFNgxcgVMDna1QDr03O+nhzt8Z65PzmQKGwj0UKbtuWAiovlEu1JbLPNeo15etemafDg0dPUTh6ffi5RrqGc8Ni7ebTPwQ57Nw44sKAcl8xhGdGB1MeF4YAKsmaLwUK7xnyxvLCCps2vi/mSyVTP5ws0q+R3VheYpsEQyHCCbSIDUsa6oN6ZaRqICIulFP7pk2OeEE0j5urHT59hkdj8S+eFwsE62ELY+J+dJQUteGwWp+kbQGStiJ07b3ruhMW64c1ttVxxEmRnhaSuaRosUvYATRJojBmYcxM+ktohDPARTf4qEVxAntiBiBdd5xxeSQra3v4e+xX8w8/f5U9pcj2tmDhn2HfEdw0z5RMCR8eQitiJ0S35PUMoajSWYbJciWKpFazoz5QntoJkMJTtSE2J1pSFAdawzlpNppgmBa2oRjyOgid4n33QusFCcp0Yo6IZjUCOemW0BOQ87yb0CE1c9Lr1GouL2PfDSGKgrmWbXy/XErUbAi9qlS1RJuWrx4oVgZ6CUAl4YJwoXawpcP/orfQ9wrlimQ+bd9Cn7AVdtwJn3ChLbh9rC1SpXJHgN/cNmDSV0KOHbOrwa24KV9UcjXrj3pgb1tXR/wsAVn6JdUgEnH2HTZcVLMMwQqSsydGdGNjsq1py3JGRHcBSx1CVcUBRCjFk3qh8T1ircVjkD+rxhSFMqce3/Lh1fMj3gIRtHkAnixYsySZkjfi9xD7N/1C+diR5Ba2i5QiKAoG8x3IlCnLbtFz2UV1xXwTf86Gqbxs+zHVtgy5T5pBEXg4ipXNlkpROlAAdcVwUjjf1eJ2VA7nHGeQ8FajrAgezqKA1bYtKKQLDOGSBJi+3eRoHwUISr+vwXOkoIhrsIZ1S3HrVt159SMOd+tqTR5cGmztf4MP3PwIATKYT/MW/8OuprCES0qZnnj47ZwLx+WKNpmEPOjmYGMmGQSR0Pdv5dgcizTNYDyeTMVNuGID33tVywTQdq+Uap6f5AAlQPrR5Yh9EbPlCSRQn8fhyDkzL4oxFkddLokEUdVEIcbI2MBRKwfMKbyYnrA59WQLpwEcB6JIhh2wDs4hzYFrVMOzHGrBZC2zuDg/4G/XkUOa4WzPM6M9ajhS9WJzh5OQMAHByfIKP3/s4ttmmwacPo/9hIGAThHLo8P4r/N6bL7/EbTiZVXCJ+LnzLQJ5fl61LiiTQw9MBJSym7y47CDOnexkJzvZyU52spOfMXlhC9qzp8/4+pNPH7Ll5vjJCdpNtCwUpkbbRM2xKhtUyYROCTiKYkDsPEkMgxII5xcNH2GfPGvYgrZphGvt5GLBuS2tDXA5x6By+u59wMUiWZaI2MIHAH0n2v66F5LXZdOy42ezbpi0Veu/fdehacQRV6EWnHMRQMb14ufV8VWftts+sGO8gR1o1nySLQtMUmTXaDzFMgU+wKucakHI+UjlVAteDjbkO1COdDT6HnF21yZ8wtBKFLycyPsuoO9zdJJR5mUDY4fwZayLoLzbFrf4DTFT5JZ2hWUS29FkjHGKorVlhS59u/eBLY1Bm/v00TxXhv8mf3TWsMNzaeP/gOjMmmHNzWKB0+NoAl8tLtiCBmNQqryVpJmXVftG21G2HgW2JA1RXyN8Z4YQUoStNQHLpbKobCRv7JATz3JH+96z5dfXtVgKjMBXxhh1LDOwlRrfkPRjhZPT5KguJBekadis3/cdmuTU2/U9B7laA3huE7HgGAytF0VRsAXNFSOBOIMHGGoUJ2JjjLSbBd9PhrBJED4oOxOnf2ZrpraewrHVUUezKd94EAzDc8EAG0UuqviVUTmxpoUg64kBOOUOwTKsqfntrHFwKWDDwLB1zRgw3yIAFE6g4M1mzeO+61p2y/B9C5/z7RJJWjErUWswBtZIFKdVuWljcMtlizIg0DCMWg2JZAwGD3BkeIu+fV6QgP7/DD+Lpc0HDCLgsgznzNBSpuKZoJBoeAwtotu0aEAKSsgBA73H8bMIc03Wa3yWnMaJCEFH0pLwAhodeDSwiMlgiutebmeHIve5MbxHAlCO92DLDAD0KiI4eEKRokarsuSAnbbpGOKMZRZ+T4G7pXT6W9aqaWWIXWOsEXcIq6IftRgI/M9QbnZvsRJ24pQltyoqIEWSj+sJJqO4vo9nExykQLhbhwfY38tca4RKpRPr/Qq5xCfzZ2yFvljOmXPs2ek589Odn89xcR7dsFaLDc7XORipwPjwdqqIwV495W/s3TriRilHUdcAAE8Ngs8omBcLuHHR3I+45/NqofY8APiSQZwvrqB99NHHfP2d7/0hsycvzh8wS+9qMcGNvTqXS8ELBWDrVCmg8zJ4ciMSEU5S0lQgJoTOi+tq07KCtu4C+uyzQ7IghiDkmCEwX25crFSYf7SUpw1Ntd6qayTPZtsx1ULftQgcdaWzHYLzkSEQVn0rnzAYbMBX5aLseesGLAIPfmMMykT8N6rHuHk7+p3VoxonKRmrzZQZAKymD+hFWev7XkUaDkkos9LovcqxGMRfRCtrsQ1EQVuviIka+84gO55ZC/aHiDAa+PeyUoqRXoQUCbAOuy/rAiZtVntHRzi6cy/+Pppy6Hrb9YpmYwhxbutoWSKqGf9aOoM6melHhcEo4Zptt0GbEtqeHz/Bpx98CADYrJZ4+uRZqpPF0e170p7KrwoF8cYcjEdI2w0ZD5icQZ5EWQiex0EIHt5nRcPhZHXObUMbGVS+DQjZfUDVr2t7EGKbjEZe/mYsXE4KbogXR2OAKq1JRIS2UxkZSiGD3LsxZt/S0+UGmzbO2aZZc+L0pg3IPJhGLfIAUCd4gAgDzGtU1XCpD+pRnd02sFmt+YBkreSxNJZgHOOUXA8KwGKVyaHFb09DmW4ALRrozfMy1hRf3/MJh7BQCd9HVjYb5yTSsPcdH+icMQJLQqLkYqaKfE9MrJylUonb5xcXEuHcNazIbpqlRC8H8QftfceUOd7LIcpay3QrgIm+QKnG1hT8DWcLBWVqWFjWCEMO7ANIHpT9V/sOJo/bvkG3EV+eS6LmaRYP2bh6gkqWvuUjqPSgDCoSCJp+VXmjoidZrWMdrtsdY51WmxYffPwJAGA0qvG97/+A77hxU+ZD3wd0WUEzhkmVBwdWVUljwPlQnbPY34+Kh7UGN4/kQDGqJf/js5NT3o+OT87YJ/pZf6bgcqvGtSjf8V+5BCorTiFrb6HgbQsv49kQKyPOWWR0tCgcRinTSIy2FEOF8rKBCZJDdlZW7LM4Mo7JjFF1qEJ88WZ6A/1hHEcHh/t4+bXo0nN0OMH9ezdSXQhjK3rCo6fiU/7uR++yq9EfvXuMZUp2f/z0lLM6rNctw9CuqFCPo0JY1jVuvfpG6guL2/du8XurqShW6+acD9dNs0bIhzVyYPoUZ2FcpgVzCEqX5WYnKKL2F5MdxLmTnexkJzvZyU528jMmL2xBOz+/4OvTswtskgl+s2oQkmn97KJh7VKjETAOZLL5Hei9OBiuch5FAi4WjUCOG0l7s2nluvXEFrQAidoZ5uIEvBdN1SsnRrN1wspHHh8CwwIxtZGK+GKoQs5ghmjgAKtPZ/qcZqFO6+r/tWYc9XDGCpXjNHC+SubsPuDBo+jQ2LViNWvaTk7R2mqm8t/EvhCoJ1vQgnJeJpXOhwh8Ao/vFcth8No6KSfG+G6xMshv+t9GmdnNwJqm+8U6y47zRVmhTGlOIqGowssG7XqNKOjUGPWVECL3FoBmtYRPVqGL81OcnURYc3FxzrkS+64bdKzu/V6R1lrVvnFMenVPGuvWx/8hRqrxyCANM1m2VIGAbiUV0SnAYLctHtmK7LlcvihVDwhsYaxhDjACBulU2r7lcrW+APUF16PL7w1q/BCEg8pIahw7gBaHkXi9V3l1jWcLbNeTWHB7sYxbC7hcPz/8tn7vF4nMyKv/xv/NMCvA1iIACCT97Y3liGMisRySYXfxRMydoMgQmO9MXxsYBKfaZkAqKgS43nuei14R1YYQJE2RD9z31lp0VvI9bqcy4zpt8RAOc5Xmayewsvq7VVYkZ+2139CigU4iiWwNRnLhGmX/2X6j9ICBshUPnLV1iMFVX8/P68v8bR8CLlRU7c3be9wHZVWyFdSY1QBVuUric5cttgYGhctRn8DeVKypZ+dWFlo1z7Y/JS4m2/WjrX8PrTeX+QLjdVE4FNntQEXzFtaxNdMa4VsM1mCi0sU59d5ZLbk4R07mg52W6JMl3B+NYbroxjOZ1ijKzPywwaPH2VIWQJsl1+Tx02MeY4+fzBnmXzcemSO+rMaYJM6/egRmKHBlhSqnCywLTKaZa82y5RAYus0ExZsYes+R16H37CrhasfuVoYEsdJ7Lwy2+DO/WF5YQfvuH/whX//Od77HClpZVQxBfPbgDBzQpnyqAsBM7bE2GfIg9IqJvmul8J1aEPsgvjFxMAnVgl6W8+8GQGHE9JurSUiIXBpEvAEiktPyIhWCwFRBpv8VQAj/d8gQLCShMdg6dSKGE4nNylAdUTiYRITXweAPEkO3MQY/TmHAP/dMIM6z8wUP1s2m4Yk8qh3K5FhVOGJTtbGGze1EkdoBiIv6ep0gIyLM57IErtdCHbFZA95nKhWJzjW2R8avjJGk6NG/IfcdoR7JZB6NxKRPKuSqHhco0663f+MGbiSI05UzGJv9N5xAql+wQGZx1nEC69Cu4VNk0OcPP0Gzif5eDz56D59//D4AYH52gpMnKd+q74VtOxiQon1cLaU/9maSMDugY8Ld+bxjOLgoHMpEC1E6iyIRMho4uDou0n1H+PxZpHQhIpw+FL+e9abhjX00tgMW/RzC32waGJs2GHKg/dRullBl1w4DVAlhIQJOG8Eqzi6eifI9blHVcbE7X83RpHmz2nTsd9b3OvKXQIkmw1qLG4eS4y6oRNPLxYb7v+3WvAjWdc1kun3fwGe/PGdQVZJ3VIKjCS1/b3vjMXydJQSJrTKQw5IxEsELIrhEvAsikPLvypGrAEAq92qBoMakXJeF57yKQMx5CsQD0iZRBhljOGKOiLBcSH/nAzAATGdjnr9930KSsPfs29Z1HTaZugAGm0ISso9H4mej26dpmoESmMdwWQr0aR2zByCQRNQWRYHJZHypnXP7clupaxXvmtw95NDYDwBCeZZIftdEoATHL9P7QdBvMGFrjVb9n6PdidBmCpOmwTs/jlljrDX42rfe5Da5cesm2uTr+ezZHBrjkzE5aAahuTEkfl0OOJyJS9C3v/Yqt9/ZyQm/NnhCnw7lZMWflGA40tga6Zt4YtH8HVFGyt9NR86WTmh4DsY1xpnU1RaytuimBKGsxafc3VQwvSI/nhSiFFZFwyTToSt5neremqHvYpL31XqB8/PoRrJcLPG3/6u/H+/pPN577ziVm/DkWPlnVjPe9w9v3eTD/J3br2Ev+W/vHexj7yAudKYwKOq857VYb85imULAerXkb8wbcbdql2uuf7Ncs+/lcrHhCNTpzduY3op9WbiAWvmhSyAsDXwnX0R2EOdOdrKTnexkJzvZyc+YvDgPmr6mLXghW5uIhJiQ5CnSZmhj2ANdPwt9nf7GsJoyW+ezw1UFEzJAMzA76ygyguHjjYWY6g1luCmVWHl7Xj53pXfyH4w8a8SSB8T0PVmXdgpiM0bynDkYFBz2aLjAhQETdhpjOEKvU1BU10mEa9cKQWXhFP+RMrlaZ+D5D0aiOIOYgYHhdSA5EerIS8IQMrkqQsUMrhXEaIbWDm1atFZIaweWD+/ZCT74Xggft08l151SVGqcZrPGOnHarVcLbNbRgtY1G7FYkFhBoGAAayQgIt6n6yhRlVBtBYJqa0JIgRYBOWcd4nMclUecG/b5EJ654ip+1zMJscD3sJJSxhgF5Wc4aeAyEB+JfF3S1oM6XREBudUkV5Y11yt/LwQZu/obMeoxz1GjglckjyGRGTyr2+Ba4YlMw3KrgS65gUnysAIgDX+o7jZGVh1rJOei26qbOPkH/oY19so6cDvltTQEJvDWrhj6XTpy73mw5jYf3HVQnW4Tzd1Ieqxc0Xf5vSxbvggambjqevtxtdLwvwygabgG8PXgc9f5QZirbxl4ZpCJwSpq3RzUg6764lbUqGorgbXBljhjDfreqzVGXF2sufTm9LxYqwprURbZX8GCvPQTswVc0yCFc/yt0jmx5II4QM5aizLndAUxl6YBBuSrGsFrlZtMZxvkFFeh65jLr1M5ZDebDVarLl179H2ybAZJVQcAk6nltq3HM26D6XTClurRqOII2aKwAyYBPZL02NauKjFIKf6tb1UwTtOJK1AgbkdjrETK26HdS8bHl7OeAV8mk4CKEFmtWqwTe3IfSvYlauGVkiObayCvwswBRaifkkvnxVp+75SC0HsxaZcmKBYLzVjO/5fyyklj16MqfYMGi2uhkmyPh6u0gs0IgpYaiSgDQQUnolbXpZPoqJEreWKXEJOvM7L5V8aiSp3aO4cu5RRtbIknnz1KdQI+RfRBqx4L/PH40bkoaE3Lg+HwoMB4HMta14SMLBYFUI/SoLIOZR3xrr4nnJ0JK7I2Izsnfdl2euERoCIqtLKg5AhJa6SdjAXGqqH294UhvRWUEJODQ5jEuj8ej3gpmZ8eYzmPdX/28CN0yUfEr9ccSReHgdImlVK8WS54rP72/+c3MZ1FuOfk2ROsVvFddQGMcpo4BNw6SuSyXYtFXjwdcHQgUG3dytwY+TFDIb6VBYp64p2k7QRKMQhY2hx9R2jWC75+9liSX29W2idJYKeiKDlDgV6B1+s1Vknp9B6oxtHEX1ZAMcsTsANIzPpdkE5Ydj0vttXGoEzJy9ddw7Bt0wfO2ep7ACHP5SDUIRSh2/wPvUe0KhvDxXzNpKtkgHGi+WjblvPzGZRwRhZqB/leTxLlxW1+raIe3wZgkG/Vtw26BHWHvkO3mPN7fK9gLBUBt6wEpndWfi8L8S8aVS1GiUi3bSXPb1mVTHppjEGvqHqmhcyNeH+sy3yx4G7WEGfXS1aBvvcMvRRFiYODvP5h4A+oyXCrSiLuNCWJctONCkQmhybAp4V80zRYJV/ZzWYz2Oiu04vizh4vdW7MbQVNj2m98Tl9DcjRb9Dn+lo23EHCThKQO6ix4GDhkq+0JYs7B7eVP1aBPlPNeCCR9sNZMDl48LLnBR/vy7JiWBtYX5yma4P9qawds/0ZV2X29Awm+7J68ckcjQpOAj6bjHHn5iGAmJd1k/qj9x6PHkXXmL2xQJxGtdlLN25glKDB/bLCKMGaDz5/iM9T5py7d27hW29+Lb6z77Ccz1PdeqyefRSbkgiPH0l+6o8+e8TKzJOTJStsy/WKo0A7Lxk7iAqA6tSWDrPRQWx/Z/Dq22/xe//S20Ii++r9uwy1l072V68y3myaDdMB9SGgo5x9o8MqjdW+6/Do4edcj2dPjvl7a80ocbphP/ujl17CNOXpnk4PcXQrMi4EBM6iEEnfJebYDXW3L5QdxLmTnexkJzvZyU528jMmXwni1BF3BlsnVXVkujKtxQAalD9s/7xtqtbXl0zRWzcZg0HeMEGpzMAEq2HK7ZOeUTcx3KlqbhKQeun+rW9a9bdBWdTz18GAOhJWm7kvQyDaapD+q38fwBEK8hhAFkP4YvjeYbQmQbfHi5ttB+Pm0tFaLHP20t8uP7N9yxVD6vJ9A3iOBCLdBlLUYBOo7dJXrhadp3H7kaGRVq4HkZC6P66sxZbI3wbWQ+iy06AeGta/bGVSE+IKiGZbroO7r4J35AsvMmaunpjieTCcfZfH7PPLfZ2l5Ur4dvjhS+8dzhs9Z1S/XmXZU78bdf/zevu6bz/v+qpndY7SF3+Xsm8N1pHhPBk8+wV1ubKMylVlazKmS3V96T7a+ugXTcAhXHpViY0Zulro4Aprhe8u5ipNb7FW8q8CV66Tl/Y4wjAq+nkQfS6r6pur7r8e2b0apqVACOZqV4MrxzMpd6fsjiB/Ercl3X7Q7WcF/SCLDK85lT/YKst0bnvttnTVnNN10tdxz5d3CUR5ed3WEcTDeaOe0RH01y3wV60vLygvrKD5Woxtr771GtoU8XX86ClTEThnwDY8pUkRgemhLQwcCrnFZDyeUNnAz4zrkoeQI8tKUulK9teqnUHFOL2EehuA7zHGoCoEggqrNXKD9aWE+ffk+DoMNnIJZbcq0bQBUChTuYY4nSm47CMr9RgZCVU2pQxA5xybaWNGhFSPugLuRmiqNxafVJFg7w9+W4ggdeRrYS375SyWwKaJ10VBnLPUuYAiXVtnMRrn7AuEpycCcc5XYpOfjAuudxiw5ss9Ogl3JDgU2CchzHDO4mCaopaMwXSkwspP5+z3dvfuTVTjGIFzcPMe9o+i6biqJphMIgTYzo9RpnsKRZSoh7+B5J0EgPX8gufTx+++wwm2Dw9m2B/lSMrAWR3azRrny/NUD4FniwI4mAnE+boT83vTtjxRu7YTqC+UyAbrdt5jPY8m/rbtsEo5GH3vsVhEqM4ai73ZTa7JrSMhUTT2jH1+nKuQJ03Xi2+HDxIOvl4scHoaqUOqkUU5SX1ge4xGKWctEYwVUtLxuJTDjFVLoJFce8F7dG32gTLI+f8oELJVnzzh4kIiolyh1zTpm6qu4RJ5ZTWxKNPQ8AR0OSmIrxC6/fQNC/Q5OtujRayHVQug9/7Swp7Ll0WPF992aBKsCe+BFK1KUBssgSkWAGDlPXibUAzVo8pxvkJQQJkg26ZpGAKsqgqjUYSorDEolO/qfiIFBeLc4nWql4h27Ze4XjdYpig0A8vj3jqCYaJfN6DPaftuoKjl667reG06O1+pfL+KmNM6mFSns4sLnJ7ENalpWyYZBjDwD7v6ZP08hVQgx+j3lPqSIBHVsfB8OXCxUW+yKr7TQiKArSGJLrSENuR9hnDnINExOIfXX3qJIc5f/6Vf4ITlr949wiZlHimrEUeJN03L+TqXqxWenZzG39sOT5/m9dswk4Yng++88xGX+c6dW/y9ajyBSe9dr5fsi2zhgUQS32+A9SL1uTGYpijLECxuTOL1nYNDaRu1jNuuh0999sNP3sf8LK55bd+hzT5oIeBmoqTwIWCTCObbrsf334mwJhHh3Y8f8vjc9KKy7O/dQTGNEOurrx5hPI5tu7c3wd4sXteVw960SG0OjJTOYZWqUitCZ98seW50KpPHarng9gdEkdqb7ePmnRg12rYtnu2dxbJuNvj0vciYQIFw8eCC39s2ksXl4KVXUaY5e+ft1zG7dRSfKS0aptmQ/MqRckM01j82BW2bH2I7nJr/lP5L+h+X7pG7rrVcQU4tRi0eRv8OOb0Yo64x5HyxahGK687ld1kiScukrokw+LZV9wxPVcM6XF3ea651e15xWgPi1v5FLMSEyycj+QsX+6qfn3vUvfTeqxbaa8qt64mt68G/t75/ZXsMvvHFY1BOOrom6Uo710CNL3rOqXMwBZ5Tp0EJrmgs2rpWJ06lB2C7JC/apvFd11gx6MpL9S4p6tVj6ervfSXZ+sawflcVKv/1quuvKi8yIWSdIiAvCvLDFcW4bjpda9m64rcv6uPrnx/+65+rv661xKlqP2/TGXx7OLmuyrByaR34ousvsBq90HVeXmhr/F9jNdM+eprnz1q5NvpaPwt5L21tkqTH1VaF9J43tB7x08NHrlqLtzapq9pwiKRcYxEawinKer0V6LdVCb12S/upw4S17CNsrco6Q4BR3li6DT2ubrLrR6TZaku1B7M9TudfGL5suFcryhMNd9Hgcrh2fEnZ+aDtZCc72clOdrKTnfyMyQtb0BTJLn7uW28zWdt7hcVqGU3rzekZ+hShMi1LzGw0aVZVgcmeThAremGtwhrGSsXUvlvBiEZrrWi6zgiUGSM0M95tYa1AUEFBGoluMr7rcI/V7+ACm+OtBedsbHvP0Sdd32OdzKYhBCybHF0G1FYiZKaKlDL0PZs4bT1FkU4Lo+kMRYrWLEcjVON4PZpNsH8r5iArxzWOXonJXD2ANxI+/zv/qUAIZeXkBCHwPzojiYNdb9Ak+NBYA5f/QAAtcn2AswvFJq76wgfx3bNGDRkTKYgBwDjAJOjUlAEh5Um0zsCNsl+BQT3O+SiBrpNk4KdnS87x+bU/dQsHNyKkN5kdoUiRpmNbokiw5vjoMew0JVFvhF39eZYETWtsVATqYj7HKlFuBN8i9HGUFA5I/KwoCoe9g/g95wrUe5JDr1je5utucSE0Cqo/YAo5oVEHmBRlVwXMrFAl1FWELIyJ0cD52hUyppqmZ/bsGJ2W36uSjFtiXz7yLdars3gdSnRNJq31aNdyqh3XE24z5yrGp7rgQZlQugdyHmcK/DkElf+RApiA2loIaaoBDqdjHq9NI3Cdc5Iz0sIy4yh5Qsjv8gWs30u/A3n4EBxQyjqQ5Tpr1WXanvyxAIRMSBsEyiQaJuFWiaytgtqiN03892hcYZQY1idViTqF/FPQie4JTlkPMnkxALhCxmrTrngNO58vuO/bTkL+180G6+xqYh2qNF6qsgPsBf/uXCaUBRPCApmKILbGxdlpzJwBYLlu0KbrohqjTNjzeDLFwVFcp3TWAxCh18kZ1Rx06p8OYLcVC4Em9bpvzZBEWCUh4WhJQOU6RMwlmUVxkmv2opQnNY87gzK5Y4QANCmQtqwsXn3pKD5rHaYqwvKNV+5xfufX7u2DEs3EZDbm5OXGWoaWn52e4eNPYuL1Zydn+Af/4DsAIlT4+RNFQK3cVdqulz2olVzUvgvwKepx0wXYRDtkbYenp3FClM5yxKY1wP44lns/5aAEgP2p0FOsLs55zXOjMTCK76zdHkYpQryaVuwyU5Y17rwUycOJgNuvfCu9lfBrKY9xbMOC2/zg4IBzTI/Lite24FuEILRGpOdWjgoHmHIDAG7euc2DpPOyhpyczjln6Wx/w1D73t4Ms724b0TC4jheV6slzk8jPFtXAa+9/WaqE2HRFrx++GqE/MHbr72EKlEiUEnspVGgh1V0I1xAo/cATRP0YvLCCpqGIsqiAKVUDa6QdBDRTJh+B5A9sQoDppEwBqgUy26tzJjiTZPMmOnaI/DsMsrc6yCpJUKAou/QYeJibySi5FuRNgIn/jRwsgJEN7B0D0H5PgT2DyMNgwIg5T9C2t/F5NqkwnMWccfJVU1RwKTBa8sKRcK4i7pCla49AeKVIqLbQ5tlNSwZ1VtuBDAjtzJPe0/KVD3EbbYhzuvgp6uRKPH3MAZQzQQiSWETubaSgmeEHd8Ylf7IGlinfGCG5DZfWvgAEARb9F640siCv61hDaPYvON7VErnYHggDmBKsqrynq/1e0F+kBVAUyLke+N7r1FCthSSAbR7BWwR4TrR7gfOu0a46C6zkhv1gstyXfkygiNQx3NgGVx1i9DqkHJGTmDF1YX5QrkG1rwGqrkq4OGqb2+7X8h6YPTD18LWULC7xr4DCceZ98JvF9N/5REXBtyUckAVn9vokK7mX5BsKL7vWQHp+44VQuM9rJNUSIOKvKBctb5vX1t9rZpEN8/gd/U3fb2toAmvGPG+YQfKntAgOCuZErLzf56Pzjm1zxVc4lFdospZQZxLqemA1abGKPm4VmXJ5QhbqfJ0f/Q+sPIf+e5SfyrQjEgyJ9AgOwZxhhgy4CTqej1x1g1gWt6/1CJtrOP1drBww/A6RQBG1SiVhzAloYqpaqGbmmmOMleiTO/tO7C/agheFBgCjBEKLtIKeSHv1b87V/DzzhacFqQoK1TJGELUg5KZJgYf5GoTijL77RFcWUpMSlVx/V1VoUgHL286kMl+ZxiuAmrqXuXn+aKygzh3spOd7GQnO9nJTn7G5IUtaB+9/zFfL5ZLPqGtux4+R8qNR3y0CUWJPrH/urJEULna+lKsB00lERlLRdTYq7yA2gpVVaWy2Il1JYTARJfGGLZO5b9lsSoCpN6fsRk5GDEmxANrrN9ms0GT8o42TYNlH6EwskBvVT7GlJjVAFhqm3slZs+qKJkMsjQlXDrl2I7gMuTVL1GvMzzoUD84S21g4NOz46nUoW9aAe6sMu8XJfeFLSomzQzBo03mbN8TFgtJYr9uhtYObr/eiKHFCaRqrIFR+TfFOBhgckSLk8OXsQZ9ZrgGsLqQPm4bgk84km828E1i9l/N0SxiG7R9hzax/G/WC/SJPNT764kx9cFPH17apmFy+MIJa7czgXPaVWWB6SS2dV1X2EtRULYoUO5LVOX3/tH7fD2Z7rN1zZUVf9SHgJBM4G3nOeE4EfgY7L3HIkGtRAFdyhUKA+wd7nPtRqMx9896JbnhvMquUNYF52wsywJVmUmLS0xTBJUxHrbIiTmBVbNAtob0vVhdfRDrqu8C92E8SeeTOnH0q7UGOYO4tUZZQwGdwzRQx5aB9abjetiyAuUcsZ2ByfOEClhSMGAmg4RYlfRcv45yIyZ5j79ZE+AyrUAIHAUbgiQcJ2AATUxGMv9u3zxkS0RdGLbGTGcT1JVEveWIWu895+MrioJhUGstikLWkKDM2x7icrDaNGgSDvfs5BTLFAG8bjbYJIizLEuMU4R0VZZYr+PvhSsYKjcwcKWE1D7tG54fn338EecI7WE5T6Ytati0ppdVhfHnkdhzuVrj088+AxAjQC/mErUrjiaCogARkc7/KqxYxKxRCbctwSSLnTWGI8NhwBYYACgVIuPMFqyZfrd2mAlEgBPLcBvBIOR8uVWNvUlyobAWp0/PeV4vlw2Tj9a1ROMHWO4nAeei9ej1V14GABztH2CTSN67zuO9Dz+Teqi9ULvlfPLpI3YTACD5HBXJbvLQl8tEVGydxeE0zvH9ibTZ4UzavJmvQH3c4yZjqdvh/gwH+wcAgHFd4Sglc7fWoRqJdW+R3CcMgImTtfiN+/d47h8qiLNrG86Sstl4rJsE2bcByyY+XxYljg6jG4k1BuNZjrI37A4EAK4Q+PFoGrMxAHGv4EwgxsCYvPa2WGcy6rDCJkfB9h4NiQPU7ddvyB5YjXjAxMDlBPnHWZQ+Ydj3g0AIicjYwDAxdf7bl5EXVtByWC0ArDabwWInI99xODBcAcqLt3NA9qExQM7cTQCozKZHgspghLaT0NaEi8RLV4Ek8zcraN579IxRxk00v5eU4uKqms2MxWjMky7k7yAuzrlz+h7oC9m0uuRrRkTwCtoyRiWitRqOklWit44VNGcsXF74CLBpctneo8yT0VgUorOyT4NTCmDXaqgHYlpV+IBR0GAgtfESoevVpN4aO2z4JwVxklrdiBRUp6DMrUgjHYVJ/E4ahPyTUgIoBEkHFnpeMLzv+Dp4YYpWAO7zIxPVdQhC6RJUBA8UG7W1hmEO5xyb6I0rYEtZJOZzYc8uqj1W8MgKrND3Ajv1Qfs35VYCPAWGk0II2LSSlLvuhBKhLEeDSCRuw60w7mGkma5Tnj+AtTJPtHITr9MYDhhecyeCDziGiK8R5NtRcbfywKCH1Pe8Z5qV4EWBogBIthCBOI2Czi+r5ZdFwwtDvU1DmUOIU8bqsNhOJYQe1xUrqaNKFLTJqGK4q2k78eHTEenGDNxDNAR1XXm9J4YXN22DdTo8rjcbHi+99xwZF0Jgxa1wPfvoAFFxzN9oW0kztFqtOPVZMAUo03T0BJN849q+Z0V9tV5j08RydF032JCc6hsHWQsKIwpCYYSdaQA5GoJxua2AspR3VWoNLNR6e0lBYwhL5oBaGmGNZWUvrtUpPVBZSmojY9C1vWQIUXByfCav9UPJ3y6cw3icMpL0HkeHB6mtehzsyQGpUFkp2lb6qXBWQbp6rTO4cuzr8UrgFFDZ1w5IrPvc5j0rMM4FlGV8eFRbzNIBdVSWDNPCGBQuGzYIJmftIYL6BCZ1xWvmrK75ek0eXSpg52TOGADCXGVQ5fXWANOJrLe2EJeBohS4M3QlQsr+0HoDn17W+37gCsCcX+SZBslTGGQ7qsaiLEMdtAMZbtzoxiAKcoZkA/mBe1GWL6ucATuIcyc72clOdrKTnezkZ05enKhWW4vqCR/rKlvzdTHeAyWYorROTnHOYqWi0PiUbwAOgzBAr6KYfCjl6GgsHxRWTqxQ0fk2WcCcQ9ARhtecqo2Xb9iFWCWiJUhb0JL23QG+T1Yz62BmI3k7aQuASgyrNOWgIweNzjBQwISkH3cGULkZDUeyGNh0stHHvl/65W/yO0+OP+dvu7JiK0ZZTxjOqMqSTyNd32OziSfqtulx/OQi1ZlwcSoRRauFWExD56VGRCCfTgfGw6STZE9s4UVvKfMnonQWRS/95bPVjAjLjYpU6xxb8D765BM8eRqJVctbdxIZKDDb38csRVJaI+Y4ne9aGaRimyj/fe1zv+1wrJ2D5TRPDEtScEIOW1jcvP2SlL15j6+Xc4FC+uCFRLEXy4JOPm4UD1AIHptkficQuiBm8tF0n09loZfcjCb0cZACcKQikY1lq66xFWyy/DrrYF2y0FoP2PyNaDXI0itLWdv4PDzR9YEtXcIrCIbQY1vJ1DDGKEZ1QqMsOL2XM2UfiCMSY6L4bMK2GVGA9wF9m3KHBoPQq6CLlOvSb1kBr3LKjRaQ3E6BYXrfe3HAVxAnEK16uZ3KYsJDbH9/yhaKqhBH+xB6NJtY8PlyjcUyzqeiKFArWDNfGzNkQe+DWKHXTcv1Ojk7wyqhGU+OnzGc2PkeXRoHdVVx2Yui4PzDRVHixo0b/L2b7RG3z7pZ8nq7Xq+YfJVsCUqWgeVmjmWy7vfeY5NcUrqux8m5rCOrjcrjq9q9dFKnUWEkF7Ezav7JdXRVIW6rqtZkpXK9DXFm0RY0KKunJgZ3xopFGQaU9hDrClDKO0rG4OGDT/j5k/OnCGmxOzgcoUzWvAOaIlC0vBTewvP4FLL0g70pvv2Nr6W2Cnj1viKgVnPo4efHPB+ePX4KJNeOvvPwDDVJFL01QJEatK4cbh2mQDNnsT+N3/79H/5QtY3lMXyxvGD3oKZp+fp4/QSjk7N0v+SWjZbfHKwTmQ6yaFL4j86fMXn8qByxBbJpGnbxaLqO82QGD15byqLA0UGOvARUdw/Ix72XvalpG5m/JLkbfJAANFBgHaXre5ycp5yigbBRa1Oj9rzCSjAhmSErunZ9YHSGBAHQ5m+DCDl/GfkSqZ5U1JqrxIysvldUgRf1SEAn0WydkeirvFERoCIhiSFRAAiFntoy03QUmDGGFRIiC8oh1oMILwx3Y69M0o1XNnB5b/CysYYAgDItgWG/HgKJDwwRfNfxte4UraBp0WzYQW2G5AMoOzKQ0PMRwKvdK6/c5fc4LNhvpqjGDGVWoxmKBMNVVYmqysmnO6yTgrbZtDyQvA8wuV+IEDrBVte+49RZcecViDO3eeBCJn++FBZNDmgVHJEnChFB6YBxfKXXnp6csi/Ws6fHGKWEtEVZYD/5JUTjPq++umkH0JdCxwfX+qlBhJdS0EyqYy6vnCsMZnsH/B6vlPOm2fC4XzdrXjDatmWfCNnqk+9RUoyiH6WMI036WFZjgT/8SsZY0Aq9jOGooGWIxjGUaazlSDwygf0WiYgTdwOAaYWVu/eiMEWoNn3aELcbghBLEkgiqg3UfCD03quFjD+HEOTfIRAreOQNH2RCD1ZCKJiUnSF+3HLidA0paJhe/a6j4kgltQ46ypEGY5X9exCVCIY4RxXKtHsUrmelY71eo09lbZoNZ4uo63qglJWsFA/hj0BS9q73rKCt1hv2O1ssl1gkiqM+CFwTQmDo1PU9ijQei6JguNNgmGmh2Wy4n9quFf87xXWxXC1xehHn5XrT4Hwer3sfsE4+w0SAV3uFjrZ0VtwHCgVtVQ4MmTmbMtIAgCGB4axBXcl2NarkMKEhTh25OYDBjURRl0XB/lDWWIYyI1wp80QGIXB+fsrfOJ8Ly3xREapUrvGkRslllKhK/Y3COczuTFNbEe7c3MufGEjoPftTjUcl6iK7xui7hpt/bs/SgaFJZw1GdRwLn6sE4I2CUBvfI1wqAXDRtLCL9KUtCgz2PY015N/HKnLz2fJclGKIYWXTtqwDtH2PLkcJw8boS8S1ZH855nYCDSks8tq/UYeBVmfZgPR3ELUEzhhUyt1HHzZ7lWav1zB98ErR6dX2FwY9wAfogJjpJP9FbTrOfjkFbQdx7mQnO9nJTnayk538jMkLW9CKUli4KhBDKd54OSAbGiYpN9pyIvdAOX46Zbs0VlvQNPeSaKDa0c5YMZMTICd1kg8SEcMTfF/+hq6gtnxtOVnm06s1NnKypSJdndTbQH9lkDDX2IF1Z+iFnK/NwMpDdJUFTk4NB3slKEce1TW3YVGXDHGWheMIqKouOAJn0jk4Ey1SwQfsj+XE+GwiLf3seMFt2DRBEQLz/6EoDOcedBZ8XTiD6VSi+AoVATd14iA73jtkaHDvcJ/Hxe37L+PoZiSCPbh5C/spJ+V0/wjlKD5fVo02hOYAQlw+l265abLBVcFwdph4m3Nb+h5Ngn0CAavzU/Ui6aNNs+brrmsHkJl2wmd4tixRZsuTsxxtGYiQAulShJA82mzWXN6u2zDJpC0KNv8TxJm8hJx4rTXoQsKfjUezFljb1BKhW9W1DM9zz7BH3xMTk1oVoRvPv8r0yKZ8YksADFBC2jcoqySCA5KD76S4gYN6llrWsJV9TYSzZbL+kURsGhOGzMrcxkMrpEzpy+PiKhlEgaqj7LIRguWHjx+z5bB0Yr3plbN83we2qk4mE9y9Gy3g4/EY47FYCdYr6YtGRUxdLBbchmfn51gsc+Rmiy5Zb0mtyQHEkdoueKTbURQFTs7iuDXGYLFYiCXQCanoZDzhyMbFpkWTgg+aRoISmrblbxAJPGdg4JxYt9Z6vTZA3iBidHf6W2EkAt0qWNOYARcZEzfDsAUMiAED2XpRKBOTMcqCGjNwpnsKzplprVEWNMiANgZtK/1x/vlHXJPj03OeW6dnE87pO797E/vJ6X8yGWGaog2ddYOyC9k3CQmYkXIAwLiq4FNAxqsv3+V8lbOTOZaraK1s+46hwsIAVWrbUeUwncp8t4ltQHmUCPMC4j6a/zW0QAu1t06WbgB4vfmpyOpGwZ2dbyHcbJZ1g54UT18APOVgJstIXQjAPC+AoEHgiSZL773s2z2ciiuU3Mewhvs+gNCzZZRAirfNcHQXUFqllzgJ3iClHGiXJVKkdDZGX0l5mTt16Ar1IvLCClpZiYKmGdkbFSoPg4GCZtnEKBgeIU5OLoBKClxYaYhBuLwqRwiBF1gzbAd1E/GCTUQcubQd5UbXNJZRX9TPBAQVUQZYpTjqpWAgGoM2CpYj9cwWTp0XCT0Y4vNJsYVE9x3sF8jTy1YV04u4sopUG4hm1byJBFiMEX/3fYnpOA28ELDZkzYb1zJwQ7dhGG9+EcQ/yAjUU1UOVZUjHg3qKi8QwCSHdxtwom4AGB3c5Odv3H+DQ7LryQwuLVa3772Eo1tRQTu8cVspaIeoRhEqKOo1Q21EQxhTi4a8rvvHgKRX97336BI8RARs5ufyYvW97LsDIMFESunXn0tiiTiKzBiDohK4Uy9KWtpmw/Oj7xtQWuRtYTmSKJczvZjhS+MIPi1KIfRY91LeyWjMjVfWIz5gEZbig+bFB81B/F4MGYYZYXQUdUDDDNuEQh1ABvpqKHiBm7gbOKxjPwdAKF66Jc76U65cXocIYZDpROqvIiGvaMfnCm11mJPrZbPmOjx8/ITHXumc5MtVlauqCnWK6JxOp7h3L7Kwl2WJySRuvN57zshCREIRAGC+WDLkeHZxoRS0hmEZo2A+T4QuK9ReNgXnHE7Pz+L9xmCxXPLmMTvaY/hlPJ6wz+qiadEld4embdCkOdB0HUNTgGFSVsCgrGWOb/RctNIf1hJsPqg7Fa1piXUkawUatMaiclopk+taRfKVhfiaxXrG/4ZgePO3VsjVnTUoKwXXqSV50yU/PCJ8fnzC73xwfMZRnONnY55bTbPG0WGELA8P9nCUM49YOyivVZ55egOejCU6e1TLQfaVl+7gxlE8SE+mJ5gvY7mW6zUrzBYBZYpOrAorh2IALk2OVg9pI6cJZ6Wd9P7og1bQpHEI0PzWMCTuBY2X9YSalp8k7c9gtXXDsUJgFSzpSa+3w4h/Y7d9S5POoE6MBhUnWDfG8uHfUw9P2Y/MDyDEfBgwAKzWRXR+C6XLaAhdu0dEonXl626lfTrlOvQisoM4d7KTnexkJzvZyU5+xuSFLWhBQW3aWdBok5+1rFobY0SbNYZPlMYoc7gxKBVxbFnINW0deRkJCV5SAkX1/dJdFAghnUCNIdaeDYYnhDAIJlCnLmu4ACaEQWFyRJSBArYIzM8V79FtpaPKlMMgGW4rbT62VoIr4nfUSSH9vFoIEWSFlVj8Wi+wcrGGyY7hxrClkcgwVSiFgC5zrlFAtxSTPgU5/YxqQj4sh4kRq7yV02pVWc6x6grJt2otMBpJf1dTOVmMpxIYMB5FyAwAplN1wsUaYXMGANgsHOZlbM9mdT4gtxR0eggxGzU+BoY1baEPQI7ZsUYi9oKxbC0CAhN+ui7g6edCMDlwFbWOv6+JJ+M0UX2cT68qbQmMYcsYESkH8sgBJ06onsc31PwLFJDTMhkKAicZsUrAEENWBA+foSUDdJ1wwxWFzC3rCjB1Whf425bAftQxGi6ToFq4FEEaKGC1WPE3gorLITW1bHCMTe9VN3FjHIk9TYkY5QzA+hOcunhC9+TRhOzwbmDCoHe5DVmMDinRY8SAK20sD0LjFK8bjAQgwcQIvvRPHzxy6rT9yYQtPqO64uvJZITxJCIFN2/cxM2jg1gf6ziXMGCwWUVrCAE4Wyy4cU7P52xB63pKXEyAcyUoE2UqK0gkZRVrAHskBLD1zRiDpyenPKbqwnJe0MVqw6me5ssN5umZtpMUZdaVqGuBAzmyzphI0JzE6vU5kARkkOEIcCLLa6nlmNrYT5y21IIJcwGgU5B2JgUFgCIMoTuoXs+d5hzBUb428J0gAq4Qaxpbj1IEo4wAeddyteFvHB+f8RqxmK9xfrZMbWC4bQHEABfE/Ut5CGA6EZePsiq56H0IvGfuH0wxShxds6ZmJ/l202B1IRGJ5+dxnlhrUJoqXau+UE73pUJC9LroIY7zgOFxvn2j7HFD+IKslX1UEdSRyehQboUoFgSr3sUz1myl1tPwo+YONI7dISJJcdY5iK+98VA9OxhtmpXBQKBTKGjQKoRCgNNo+c1Wwgh96g2G+L/WfDmb2ItHcWoFTSkjFqTWN0kQG4ueNuZA4mNgDIpKFIfxZCaFKSplulSDBtLvfd8r1vB+ODiSBO/RhhxVRHAD0668V/unRGVJw49RvFfLAgWQikBlvjsiUC/fG6qM0j6kIyCh8wpiIKXyyysU4W6Ws6cSjTM2a1ZUeoiJt4dJptn83bQwBj1eSFZvItgwbMtc0r2ZKLLjyglFgVImq8qhStFC1hmUdVbKgDqHxxthhAaA8b6EL48PREE7OihRpUW+Chfwi7To+TM0i8hevjh5jCrnWrOy1A0hzkTlyPNcEega8AbsKTBFiKhXiTg2PdD3Pfqw4Pc07/wB14OgomoLxy1XlpWYtzXkVRaoOO+bsMxvk8Vm/yQA6NoNt1XvG8kXisCKe6CeFwkLj8LmxZESAzZAxmOZSEjJeCB/goDVpudv1COhjCjKGpnAc7PxPOfIS+PaosC4yhkKLOp03fc9np4+43r4Ts0/lYHc+pqTI9+ZvIk3j74dv00WRargJ+ZjHD8+i+0RWpCGC1Kk9QBAUHPGqsMEQlCbgjpIOseZRshYuCIrssS+p5FQW97b9T0r24f7e5imPrt7+yb29iIEv38ww0GCvibjKW7eiJB933ksLuJGahAwP4vjKxDhvc8e8Dc+fXjMcPemDaC0bBdlgaKUA7H4/Ar0QhQ4mXcfCM9Oz/i973/4sbhNKDhxuZTI8CcnFxwp6mEBl/1aLaqxrFNO+U/pLC4LtR9plxLvZb0NAPsvBqh6kEGflAJLBl5tjl6tvV2j/YhUP6s+j/Qd6QDpLZxLh4zeoPDZH81ipMoOdpsgVCpqVG/AJycLdF32D1zy2j0a1RinpNqDNTdoFoPhwj+bTbi89+/d4EPqndsHqOv4/fuHNzlqtGk26NJh6+mTE3ywSBG9XY9HT+O1cwbWxrGngmBBnfgxj13BbaPzxrZdQMfRzgN1crB3BTnywxin1l9pM6fosfogkdM6B7QhDBS0QvtC5XkJXtUBDPNyai8HA4I1l3WDngJalTmE9ZJt5gfSMKrs285WipxW308Q76cAGFnT83ppMITmX0R2EOdOdrKTnexkJzvZyc+YvLAFrfeatNGz9q8tO4YMTOYOUidTBLHUGAMm2jPWoGtFkycvEMsAclTwhPdeWdA8E4kOIauArs3Q3TACRJtEQ9/JKYaUqRSGtWMKnmFNbJ14wgC+1Pm2VFkGiJv8w8AMzLzXySCoIXPvKLK7wjgF4zltdEXIJmWSyDlrIHneSJFjGjM8gmjrg6qCFVQyOvTm0wgJySDBAJ1Y0LjOxgBWeJjICqTq3SnYWbQPKNNJvVpO2HG+GE9QpDyS8/Nz4WoiQllJyrBmnU/UZghxarTYWrag1WUpXFE2oDACx3NACqW0Zul3r0hM9YvjqTed7ko5bUVLBvE92olUO4TngBZjhvkGKWyRBQsT7Nb4SldWc7uJiZ4QmEsMJsBkq4YB8+ABgO099633gYNEQiBJc6PgYFMojh9jZY6SpMUBEgKby6LGWzytZmuJ5YhOA8tBMIUpUBexnws4eJf7WVJnKWq92Cyay4x/V/DFALURGMZYszXb1T1KCidW4FIRQldVgSpZlaqi4L501vJ6pPNWtl2H83RNRNgoB+ug0qBZq0JFlSXhegsaRS4zJEgmw96IwQS5ksv1hp2kN03LgQU9RWti/IZE2RlF7H3JYVs1XFHV6i9yn3UaeSl5XS7KkrnEdJ5MYyxMhvwpWmHy59abViKDVa5XKIizsMK7poOmrLVwKX+ktRYbZdXVfb1Yd8gVa3s1H0gCiHtP0SoNwLQ9r8Ux4jgVnWgQyTfYA1zLLXRythSrlhVUZTYdMR9c33foE8nrfNlik3Jahj5wCr9AQNMmnky1zoA8zwHvJYpd96X3slfoPfHydkVX/4tI/kUWEtSj16/h4zpSNKg5OgjcUw/FfdfwfXJJqm31BwLrKIaujqwHzIChwap/GGiXp6v3bYOtYET9+SufuF5eWEFbr8XvaeBjpWkkrGOIU19TCGyT3k5gvFkv1L/EdDxQ/BQLtIZau67lRNkxolOiRr0i4huuwWLCHUZUyLd1Enbfd2zuByRfHlFgv7MIFeqFQTmEqAVcDwajINy4L1y12ImQGuz7M/FVGKllz6sR2gMSdh+EeT4EYjiPArE/Wcwtmq+ZnB7ANlO32mxVfXzokHVtAVQvD0ir6mfsY2mb4n1usxEKuOzrUhWwyS/EjqewkwgbOTtGVR4BiErN0d3I7O/7Ho8/zfAQDXxznBWak6Ku2N/k9s0j7M3ie327BvU500KDTaI+8ETwrVJgrFAtFAqSHo9nPEZG9YQjU0OvEpk7w+zjbduCNsTX87RJG2txlHzYiAi+l+8RyeYd+TddblyGZYrSYTROcNTIwpZJKfAd5ouL1AGEusgJwQl9IyzZZed4DmzWgYd31wqTufFBohtLg8koRyQGbJrsM9WjbdW4X0t/WCgfRpSwSSkv+hGKNvpslXCoUlj9nj3Ay0cxAjJYQl+n6+CxWMcou4unF/wtnUnA0HCR1iNTIgsdihSB2HdGQVwAryIkOfcAYDaZ8mZ/6+gQ+2kc3To6xF5KLj2bTbE3E9qQJtEHnF/M8YMf/hGASFvxB+/8UfoEYaGWkzhs4jfq0WSwVohSZjGgtRZmafY9iu4X8uJVJ0S17336cMulRF1XGQc3PC/jv672ldVuZ0e3X1bvlPc2KhLZ1XX0uQKwt7+Pg4MYseicQ5X6w3uPdYrqCyFgqZTZTxRse34hJLJe7RUx36eCOwes+BKBWiio9hKpaCr7ci0K4cqDXUk2m170EZJIe1LngW1UjAa7k4xd89Fj/ktdOS7v0eEM05TX0ymls1k1WJwnH8YQOPerMQRbxt/3VYSl79dcmk3XIo9vfZjS5L7GWKZtiq5muXQ6Jy4/mOqn8r6qiGpPQ1pc9vUkUaqIwL56AGAK/YTn6di2sma5Qieu75V/mWcFz5JBTZKntuc9HOzbCQzSb8IoYuqulzxBkakil132Xn2gugSdXm+LuVJ2EOdOdrKTnexkJzvZyc+YvHiQwDWRiQOLmLLlEuQkRRQULxANTH4aVjGQSJmBBc0SRPUUSxIRSbmM4bRKOpXLlXUZwB7aBJu0bIXpaR40YzC0V+p3quvB6fP6UlxdRg1fwQyh0+ywqU45tPWB7X/n8ojpWEGrA5OwOjEoZ3ognXAYYpF3Da6NYcdPC+jYmOua7LK1UI4dqo9k6EQ+m+wgXaNOcCeRw2wvOsL2fc+pk9LZUupuhbmurmt2bK5HIz6p9/DoE0+Yc2JxM7FYqRxbfbAFQwsEH2AS5BFC4LHqDWASr48Pni20Omhl2+obthtRce6w+V+ZCy+Pwctta8z2GFT1CBRTQSHyaPE0JbGWxG8IJMHBA6oNSPEDbRV9AG/oSOZAHj65Lnhky/DWmjAorhEo5rr5eakM0pnD3MD55y1rEsm1flMgipHeyNbCOHbatsUmWWjLqkKVrJMBhok5N5sGjcpnGXC5HFeV5Spr++CRa+sB6Eg8TSRuNLyrXEo09KwtdkY78wOD6DT9TdL8XwoqKhRxc1FWzKPmCrGk2sLxNRkLm6HBEOCK7DROqOoxcgeVVSNz00vqH+1QQlCRrTAD95uecyJvrVtqrGsLSbSOiXlsezt8nsT+uP7vw/Kmb3shfiZrEFKb9kG5EiijTVz7c3m25sCVZTKqTHqDMOqlGMy9ga/C4I/aerRlSbruevAeLtTW365/r4ZIs3Uy6hUZYzbDsg9X2uFX+F201U+6nfO1BP1dU6GvJC+soGnG8WtFKXG9174nEvY92ASIhpEXAygT6j65yznHEJL3fvC34YJ1efEiopRoWpXESHmzWKOgTMjCpSEZELH5F6BhWgFjryyLviXm+0yRRFbCiL33MAkeChTQDhTYKGvFfoxC3msVSSOpJyLNRmp/R0CpNrOc+JwIqHPEKBDG8rwmCdS+V36Qs1QGcVALVdysL2+elxYL9Q3qWx4Xm94iJN+Yw4Mb2Lv5BgDg3kuv4tu/+Kv5ZawRLhcL/Jf/+X8efw4B733/OzzkZrM9hgr+9L/yq9g/PAQA3Dzax3QaYYPjh5/g2aNIobGcXwBoua7rjefPLdbad0Gu16s5t1u7aWQc6bnRtQipHSPBoRxqhOHccv5UIkKzFPiDVLL08WzKzwSAw8yrUc0M59YRjIljxqBNEGlSwvhARfFElcbS4kLqsTjzDIWP6pqhTGs7OJvHMKFLxJ5t1+M8RSd679F3MoZ9J2O0UPCz71s+jJyvnuHpPEbrVr5EnXJurrpz1Alu9wD6vsgPY32h85xeFg13khc/Ek+KGNUYjEcRzus7hzASlv/eqyhtlVt2uZYsFj98/yOOhNwfjzBK/Xe4f4CjlE9203ZYJGqE5XqNDx4+jOUjGpC6lqUQZWqlbBCNGv+a6i3r1HYbWCNzXNZkAlT7l5VEw+k1Vl8XrmCfMGcd6lQ/YwznFwXA4xYAzk4kGbhT7h4D4lGVt3k6nWGW4OCiLFAnOM+HwEm1iQiHrZCY3nz92/yuBw8esE/n8dNjdmNZLy7Q54wIbQvfZrLmYRQ1BfFdviR8WKPnbOvy6+CQm/tS3UEA58i9dDRT60XTCiTfNgvuT2Okbw1JjKU1MRMBEJlrmhwhq1wYSPkyOluKsq03RWOR/YJJQ3UEIZsngtW+MYryJAS1T3Ul75fWuEjBAcAEvVcbYZ43gCnUXssFH2rBVrsWefA3Ampk/4sI6+cNSdqSCIDJYxgoFZ4Y+iBrk29lzhnpS9+3vIc7U8LZRGeiXAHigWx4SPoysoM4d7KTnexkJzvZyU5+xmSnoO1kJzvZyU52spOd/IyJoec5a+1kJzvZyU52spOd7OSnLjsL2k52spOd7GQnO9nJz5i8cJDAz917m6/rUpw9Z5MxExxCRfZsEydm2Sbqy8SO0RFXHAwnsyk7jvaa+6zv2dHVuQJFIRF7koKBODInOsJLdJkm+Gr5SQD1BMhkkpMJbCJYNM7BOnGU1BE7uk76mlSEnw4suNZJfiuNFiVnWN/3aBbCf5X9C/83//H/kn/7g+/+M3Tp/npUMwHqpmnQpwADr9JjDZw9AVhNeps5gHR0K1Jes1wHHdUBq/pYcdiFHpQCGYwBapXdorTSlo+enPHvnz875379pV/5ZRwkp+pf+dVfwauvvhLr4b04tdMwAjE7/8ff1D2Kg6tWqcR6xcVDFoO0LlnCpQhEFYWmSGT3797n697r+4UjSPMhdm2LPhHSFhaoy+zcbUGJiJWQHHkRHch/8PABl1d/415Vos68a04IUcu6RlWP0ruGSWWuCsS5yr1ecx1d6Qm9/YjRv3+xG3XbClfUxcUFEw8fHOxjnJzDh+W9xthP4mj8v/2ff4t/XoT2yqAB5x1s5kKCg5C5DV75leTKml5qjy96eDj/tktz1ZuC6iMO+EiPWvkDp1Tib/DLenn+msrHNVY9zZxTEmlrQJipAv7e7Xt8vVqs+d1t1/N1UTrmJLTGcd7K0BN8G28qyxI3b9xK3w4gs05lJTx88JS/cXKy4PX3jTdfw2QSAz3q2qFIwR3z+RyLlBapaRosU65R2mr3ciR708VCOMRKSNDGnRsHqBOHGzlJu9Z2Le9nvie17RhYk7ddQjGStSpHAANAs1EO9sGBefCKEcqUt60oLIoyE+4CRaU6B8L1Nb+IQSn/r//j7/Iru14CBgZkrbgigjmVTyIW1c1EMe9vutYy4Mn0W9+4Yn0Y7onyOwgoQj34NuclVpxoUBx/QT2vVz/SLJ0m5o3OryUre8h6rTnjpC/qquI9tqpq1j+07gMM21CLtWozfAHta2dB28lOdrKTnexkJzv5GZOdgraTnexkJzvZyU528jMmLwxxWpX2QqfroUAInLvwEkWpvCCb/4yBLcXMpzIaolXQYOGJ07M4xQlUl7XwkhkzTBPBCc9M4oqKptCcIxIGcCotjwuK2sWKKdRQABJRptHsg0SM8UUUMMGo6v+ByKEi9Rb4RBNAAjGVyMgaFESwmZfJBrTwaEKEfIPv1PPxv//gt/5r/m158ZTrXVQF982mbYTQ0HuVimrI4QPFz1OoftG8XYV1/IzOBEJBSA1j/+QxEpB71lmDcV3wPXWRYQPgyYPH3OafPDhmSPal+7fQNRGCaDffAFLKEEMqL+qAwZb/DwYEi47v8cqU78x4AO/lqhhTwgQDtB1C13OOVQMDbxHJNrcs1r7H1TIkP0L+SrSKx+tNu8Lq/DR9w2OZuJdsWaE+uMmPt6nsgQiffPADhgDaUAjn3I2bGKd+u3fzDsoEa8IWgIaz1LjVOWSF7w8qpVnO+Ziu3RAC5HmyZcYfAqlXXxvdVzZPIYLdrOESP5hBADUj9bziIMJlIWtBkylgHZogsKkd3ec2KCa3YRI0FMdT4m8zYHLnCI7ncaTGs9mq2yVC4fhvqxmdaFjv6wHLy9X8oieuet7q52lIpitlIjjFoeiC5NMEpbYxBqNgURhpFCF71Z8wDHESeQTKaYY81hcfM+lu30t/VKOCC+9KIXvuuw5d6ntnCoQEARqysBTHtiODgnmtLPKsJiDmv0zv3T+cyTcKx+3QdT0yhWPTdGg2TSpfj7xnWWM452UIhPNz4R7ctI67vbfSz09P53CJm8+Vhsl4fe/h8x5kCjibXGasgSnFzWOzHqaEylLXU+Hh6oRjsvM9c7tVdYnKlLDGYOQt6t7AENAhYIkWYYtgVbOOPpeT8gqM+3IuW/4HTLh6bgzSXKqk1AOC+OeITiXWK6o0TSgaiXrTe40wzBuyKtsZSRljAmEAidtymfITGgPKaycMJrMD/ka3WSGPEd916FP7+z7AmgZoW5TGoMhpLosCbjQCyvJSLXXTvggl2gsraNuL8cA/RT7/Qp+90idr657tNw1IGzPJnRm+67rrLY1E/qkWfILeW68mInyRDeiqwT4kt42JWO9XBX5lv8afvTHFK5Ma+6WDNQar3uPz5Rq/f3KBf/j4DN9frdFt+Qi0jUxq73vudd+LX4jve0kS7/tBJoerFDRAmL5piwwwBKmDnothkNJQY/DRKyW+zCConGqkfNC80nL6vmM/Be/9wGdOukWuL/srqCqxykzQW5VB4EnPamkg2JNT2I8+g/3wE5jzc5i2A6xBGI3Q376B7s3X0b1yHxiNuBzbX7zqMq5eMnokz6wipw0enBxV5UyNPnbCxu99z3WOPmhG2ir7SIIG8wR63A0dxC7LF6yXg7mlKnnl7+b537ukw3YeR3/n78A9ePj8QlxXtskE4d/8m8Abbwx/h02KKgBbwbjsxyLKFxmVWDw/wy/Q7Zqrc3ml0koZt4Eeq9j+xheJHCgv/4We87wcPq4i6o7+QsqPyCiVkkoABo4M/jru4zW7/4WlHHwgvWaJDf6WXeCz8OzqW3Pi9mAgZ37ZsId+YKptoet0xWDNhwmVIF0LkZ4OW8qGfo2RMayzmZCaQ3o6xbUxPRL070F8kQ0pH9eBmjsoH7bmlVEvVioJlznPuSOq8B/W38Yvj+7DweBhd4H/ePV7+ADz9N6fMFBG1/zjCwkhvmANepFH+d/bi0h672CiDffdS58mDPpY/kZXZOyww+dDgHn2DOVHH6P64APY83OYponOgJMJ6OWXgW/9HPDWW8B4jK8qL6yg7eQnI9YAvzKr8TdfPsC3DqYo7NCqdlAVOKj28I2jPfzG7UP8F6MCv/nZUywVG/tOfkISAswnD1D8/g9gj084ZU/8G+AWS7jFEuVnj9C98Qo2v/SLCEcH179vJ19N2gZ2uXqhE+VVQl0HnJ4Bb/wEy/QvqVQw2EP5lfuiMgX2zVffkHby5eW/V7yKXx7dQ5F6bWJL3LA1PgjzP+GS/QsqIaD8+BNMvvv7KI+Pt/aNAFxcwFxcgD78EHj7G6A//+eBW7euf99z5MUtaPpa5TR0znEE3UDrV6Zx6NO8sXBlzqMmZm4DQOd9unnnHkf23Ll3l3MlrtZrjlosXIGykGiVDNF0bYezZyfxG0RYLRby4r6X85lK+xBP/dk8GmB8z9fZJGogEZrxejsHWTrpDSL5VGSHs/haXeHff/MmXpqOrogdGz716v4U/5Nvv4m29/h/fvyYo1nXq3O+r1YvKUt1mPAmA30Jmb0MU6S/8pVTENfQsmblIZXSCSqS0loHxzmnKiCnLHIOZjJJrzSxkIhwy+xOxV+/gSlb0OrxlCNl+maDzeKcy5FTVhkFN5uIQakaKfzRKKsUPCTC08E8eYrqt38XZrESy8IVYrsO1fsfw2wabP78r4H2ZtApxoLq76bVqU4UlBh62PTMxaNHOHn4EYCYgubs6SMAQFmPcHDvldRWgCvkpHzx6cdy8p8dcUqUZ2gwT+l3ytKiT3DwdLqPaZob8B6BzfI9Fos5t1tdS1oebVkoqxq504uyYKt1tOylplXzXVv8BtPdDHMwcsoxACHESD4TYs7EF7MuXSMZ2tfz4eDbMC5aPd3tX4etDwEAHRmGMgNcgkYuizXa2nqNlVzNE6/+bfSR3AQMk9pdN9a0BUWV6VKC3SueJyOQDjCwWvO6BgL1shYGCNwZigIwQOF70KfvgUL/lfqCAHRFgSZbK9VbisLxv9u24fleFiVM2hMMWbFyk4XNq6QhnF+c5Koi1DklE1COZRtbLTvun03Xwmc3GYWW+D5wP8U0e/F3awjWprYywLSacBWm40Mu+2q55G90XcPRx0WyQAIxWrZMeUTLcoTxJOUKDj0uVqI4GaPHlbRX27bczc2m5bXE95LDtK5r/PzsAP/a7TdQqH2GAHQ9oUmuNjm94XVR0DpXs5YXokg1akcxXIkk4YoHhmM7ogkK5VALh2NkAAhWRYSq9E5du+ZvBt/LPOt65ATC7WaDbh2hzK7ZYDWP0PVmvcZnn34cP2cdiv0jLsNv/OW/wuXc3z9gy29XOJgHD1H9k38KN58/d98wmw3wzg9gNmvQf/dfBx0eXXvvdfKVIE6j/20wMAVmH6gAbeKHLFwKogQRVzxCkdJxVVWjSP4A09keRtlMaCyaNm1IRYEq+wz4wJCedQ37U4UQhjQZVkMYYpM2/H+pXKysEU8iUr9rGHCwFNI2BCHfqED4n75+E69MR7JYAFh1Hpu+RwBQW4tZVaJIC8rBqMK/9wtv4feenuHj+SrVSZQAU0ibWyOpzKwBHPfFcEm/zuB96fcr+lj/rN86HBM2OpkAMM7BFJKnzxQSuu5qOWmXowlcUiKtczw5KASErCxDFIVtW/VV8EccU1s27Xxf26L8x/8MZr5UfjUAXAFKYfOm74G+hwkxIXb54BHoD95B82d/BbBXtyIFAU204obgWaHsmwbdKvblen6B+UmEg8p6jHI840fqOvUfEfx6ye814wlMoonoug0Q4hxo+xZdDu0PXh1ERHnywaNrlV+eu8L0D8A6yc3og5Az6CTxQwVtuNBmt7U4rYcL8raLA1UV+r296INGwwNgdEPIZQxA0w5OrAQABwfAW2/G8mnoo5wBLh0ORndhR8m/jxxy5kKCAynag8FB9BqaoEuKyxVwy1Ah82mtGb7rssh7SHu0XQOLDWTg7wOAtug0kA6krKARCI28tYqJORvyOB09Rt1czr2s621BqEIPt+WmcuECPjRn7MpwLWyn6mKsYWoNBEk6HRU0gZYybQWBgFJcIDRVEEnKeQQKnGQcpDxktdsJVPeZYVdqKh24mp9ZYwNp0+HY4DkKA5sgcmcdykwn1ZGUCQSefgOIbbh29L24fPS958P2K1WFf2//F7HnZH3Ndc0HqW06ouvkKlqI5yl0+lvD+TyYQc/5Xv7GNX8HxL8cEISRCGTU4Vi5hfjQ8Qupb1hB65oV2k2kzWhWK6zmZwCA5XKJ0+PH6YMWVaI+MtbCdy3751orymLYNCj/7m/BXlyofcOAigKULCSm62D6HiYEGO9B778P/NPfhvmr/xpM+eVAyx3E+VOUX9yv8e3DmRijALx7tsTfevgMv3e2RksB3xgV+Bv3D/Hr926iTBvV0WSEv/H6Pfwn3//gT7D0/2KJe/9j2NOLwbZH0ym6n/8G/DfeBMoS9qNPUXzvB3CnF1FRDwHlex+j/ebXQDe//GloJ9dIUeD4X/3LoGenAAjTvRnqKlm+8uJIBPPhR3D/9HcAxVGEvT2Ev/avA/tfwmdqJ9eKNw5/+81fwUG7hgHBGJ3c3sAZAwPCK+fH+OVH78OpIKZlYfDfvLyPxQ/b616/k5+QzGyFf+vg5/DW6MZXtzrv5EuLe+eHsMfHg30j7O2h/cVfRPvNb4HKEuWHH2L0ve/G+9K+gT/8Q9Av/TLw0qtf6ntfTUG7FL0VxaoTiFW/DzEPoM9wmxGLioXB/Tv3uOJf/9a3UCZLxt7BAVvTRrNZNP8CcEXBMCiFwFEzbdOyc3AIAa464XKePzvmcvu2FYiOLEd6kO8QkuO2sU4iWAmi8m850rMVEUMrAym71J8/nAzgnlXn8X/+8DHeuVixheO76xU+uzjDy9MR3jjY4/b4V166hfAHP4plVe8oneWmrQrH1jQqCrhkAfDBsEO+gSL03RYdGKDvsSUoR9GOKn7eWrFoVUUlp0TrgBQxZ6xFUeUIMaB0UvbRVPy5TuYrdOkEE4JHz9GXQfl3eiFpVSfD6BCfT7vEZQUMgmr/CHPEZ8oPPh6GGRUO7a//Kugbb7BxjL75FrpRCfv3fhtmk2iN2w7Vex+ivSUK2mp+ytetimwN3ouVqFkDqU5nTz7HcTKtrxYXOHsST3GjyRT7M1E0nGGQGneho3m7BN0CE9eztcp1C7TLRO5cFgjJ6ky+R0jRdMF3CCFFSxoLk5cAAwkqAdC0HvkEPLITEOU+d+oELSdmo10ErBAHwxiBvjG0pjlnuX2K/T30iVS02DtAmQIy2OqyWMD+vd+KsEH+elWB/uyvA6+/LpYLHZBS3AS5KQCgHb0GM7oNANjAMAhOJP0FCrDJOm2NQV2IdTHb9KKlXSwrXtWtB9itQ1y5c/PKWL1sQ5K7uG0UrGkuQZyXbochQkaBAhl4kj6iHLEKQmlFuT2spS2rkTi7F4VYT611vN44a+GsRble4I2HP0atLPmds/jkrfto7oxgfiR93GzknrKoeB/wPkiUOTn4BC3aFEQFAMYEUBr3pNxLAEKvCKiDIigta4lwNtayTVRb78qyYrCmqkqMES1QwffYrDP8bzEtJ9zQq1asmLWb8LitxgVsanhb9YBLdWqA0CQLDlqsltEi2fkObSdBXoakfZpNq9wHCu7ephWrWQixbH92+hL+O4dfQ20vO8oQEdrGY9U00Y2hevFt/jqr2bYlbhCEwmPNbA1o0QLaVsO0HXwaO1VVoaoEVfFsKexx8eRJ/jg4kApAqa6bszN2NZo/fYo+uT/1qwVCunYU2L1ks1wyYtE0DfrH0b3EOIfe53XR4J3v/DaPl1/9c3+FXayqd94Zmv2KAuEv/2XQN7/FyhT94i9iM51i/Hd+U9arzQbhe98F7r2sWueLgzdevOeugzivuW0Q62WMRLFA4uqIgNJJEQ4Oj/i9t+7eRZU29qquGKY0rkCb/Gmsc7DZB82LD1rZNNg0iY3fe2yaNMmJcHF2wt8L7PmC6HfGsJqX33XliDAoPC4P2O2gUaK40Rlj8MZsPOiS9+dLvLtcR+iG2ZgDPl83+P7JOd442ON7b44qVAZoQ9jy6RGI01kDlzZA75z0gA28qRiYAWUKL+NqAqptN/7bOu7Ysqrh2OdJrquqQp2yL5CxoMyYbAxsIRBSoRpgZIU+pSgKNv0TSKggDInCBBXZqBRkguHBTiBWyrZhc8pVWixhF0MIx9++Bf+Nr8E6wCa8KBiD8Mp9hFs3YD57xG1VfPYIfbTtAwDaVjY6D/Gz6XsVYdusOEPEenGBZaLZWC3m2CQfSRMIIU9oIlCmLgBhv9ADq+f+rG2Ac2lz8y1Cl57xLS9qMbNDVn77NCaBqPwKVEOaidsLNB9CBcMwoGE/slg16bOB35mCnezArUAdZtSmWRROKQhOslqkD5nf/0Pgk0+lz40BvvYW8Mu/FOFmPv+p/rYTGBchY18cAWWEODsQh+0HH/idJnjYpBRbA1RKQRtGdypnTwtROhS8JisIAJIsG0a1x7XIE+VvcpNhqNYpYXO8+AbGqZHXo6D6leDqmq+nkxFXYzLqWTEqikLBO3Zw7YzF/Y/ewd2LY/a/CQZ4dusAj7/2Ckq/HhwANQt7Wn1SuWS98cotAFZvNQTK4xOBFTECQYjpKTcQAMAVijpEGQaMkXqQcyhMcmMwBJfcMbq2wXqlMo+UQgm0DvKRworfZl1Z9hVFsQHSuO/anpWN0ItbQRd68aEiYv9mIsJmo1wPrMwT74P0bQBuuzH+o/u/hhvZR25LCBEK7ToPY4DRl1DQvrTwopqvtyXVoQ8JjgSatmGDgXMWxiSfdDUmuq7Dxfl5ei/BBqFOGitXhPXTp3zQPv/0U6ZraRfnCGldrguLUdIT1osFVs+epW+0oLO4DlPhEI7EveTxZx9z+3fNOh4y5wvg7Hzgd0b37gM//wvRnSiPZ+/RvfYq/J07MJ98IvP4ww8xiCh9AdkR1f6UpDQGax+w6j1aH+AJ+Gi+vtYjpdiycn2xF8FOXlTMqgF6P9jy/L07V/uVWYtw81CeBWCWa2C5unzvTv545NkJ8E/+yTBa6vAA9Bu/AUwmX2rB28k/n9TzU7zyR/8MNtPgANiMR/j47VfRV+XzH97JP7dMbIn/xUu/iq9NI7RJAJa++6LHdvITELNacfBgFnr1lWv3DX/njjwLwC4WwPzi8r3Pka+oWisYgYhNlxZGeLLU6YVIHCOttSjTKc5ai5spV5sxBq++/jprraPxBC6foq1EXZX1iPNkEpRTsPUIiYSRisAO6CZ4lONJLiymyldlvV5yXlCiIPnCyAn8ZQMoYwc0NAHn87LR5cDQ0BbSSXbjgf/s/Qd4e2+MvcJh7Bz+wbM5Qu8RfM+ni+B7HDiDbx2J9QwAni3X2CQLzFzl5xyZkUAQxvCJ08CyNc2UFh5SB7ZCDMzWQ8g2qEoY5T07ne2zZTNa0FJesrLm340RK50BkIMJ9XVsW7E2TYsOhU+ErdSBfKqTczxedAQhUVBRkkZgTTKD0zUFFWlqujhR+gZyBk53liUCQuz3bHmiGHjitiagIQDnc4QEyW1WwvkUbMHnOx3l2zYX8Im/bt0ssEqnu9Z33Dd98NisV+kbhNDIZB6PZNb1wYtS0nYIyU3A2RpVdkzerGDWyUpIXgiPfQ8LIXHOYF80cmsqF11n+d1YM7CUcfuRIsAlw7zIxkC4yGC2rNBivdKEsSAJDEEIsP/wHwz8zshahG//HOiVl2JfkbhNOK+syxDLVXAGSBYxC2IrqUUPpLbx3RKbeezL0Ld4Oj/JpYaDDOIbN17izqj3j9jyXtYlIwUeUNYfF9eU2IBi1SFsObEL8bLMjPgDG8ryzdti1fwdREJKrkRngIOJvPX2oSz/dSHfsNYoI1Tgr1oivPqH/xilshjDWDx7/S0sjmawIcCFABVwh7aRDW29btna772KNCVieN2UdpBX16s5lNfbCOF13FbjyUSsFE6s8pYk2KRbt2i77LYSkAtZ1gVqBaeDilwkrM5lzC0uhAzXKwLc8awQFoPCwSRrmhtXPJ4DRYsqkOZ1yNHnAnMZAKNaBVMZIQePa6yBhcFfn7yB/9bNt/i+Jnj85tkH+Js3vwktgWIbGwNGk15U6Mr9Ybj3yRg0vFca5P3u8oFpvV6gS7l3N5s1k70WzmI2m/Ebg1L8895sDVDnNYQIdbPiz69PniGkKNrNZ59hk6DkzcU5+hQYMJuMYSaxj9vVGt3ZeWqjgCoNT2stZlOxoLXZegfg848+QFXXqE/O8FLfD/YOqqoYEKmQgWgGLmC3AwICoT8+ZteTUTXCF8lXo9lQhRlATYGYKDXep5SW/F9jeMMtigJ37ikF7bXX2UelHo04iqP3Qo1R1iWqpBS03qPPZvauA2X/pAC4UVLQvEc1mXJZZ0pBO3t2DJ82pb5TESAk0Z6BhOVfj89hAlYoZXTYYqRMwH90scQP5yv+O5O/+p6hOxM8/tqrt3F/Ohm0+XceHTM0tVzJwnEwKlCkBcJbx9q8MU4iTwgMLWooOFBQfkcERb089J8xQkI7ne1hkmgzyqJUcGeFKinOFoQqh6sjoFYbf6mS02olfuZ6FC7BS9QhR6G5QhR6nbw8pAiZ3MasFKk+iIcHqUnv+wS/iSKbxc4vktIn0ZaZusWcb/MJEYzqg2YjsDlZzXUic6Btztn8vmkW2CSfsM53HIDng0eTIc7g0S9kkTjo1XhZLeUbPgCJoqCYHrJzfdGsYZpYRqOJg4OH5cwfhpUyIoJT0VFGQbjGSCLtCBVdXoBDCJI0OTZRei/Ez03/PZVFf49fS0lJJgI+/gTmg4+G4ewHBwi//mcABD405WwhxcBfS0WZKgXNKM9QQx1syj7guzO0558CADarBR598i6/ySkls/r6L/B8qCrA5DlQTRgK9oaHMAKVw/GZCXBJMZyD4JjceUgLET+r1lt+YtCYUUkDUvSjbGguNXthCQdTeeutg1KQWhKFQNPUhMxGTYTxwwc4fPTxYCHc7O3h+Bf+NNz6o/ieEOBUwbpO+nyzbnnsRBektMb66JgAIOYF5/aR8TE89BKz6QPA3kyUsrIcyTxpDT/Urht0q6QUVJJY3FYFMwTEaiUFLRA2Kck4EbA8a5B7JExEEYfZ4/XXlJZdbgw5dstp+x7rnAg9JPw6vdcqH9BR7Yb7KktUuL9VHuB/dPPnMXEVW8/+3tlH+P8tHlxS0PLZh4jYJUjLdS5K1ylk10aCkpAfi7mCv8L/XK+XaDYpcn25QpfaY7a3x+3kFa5PymBAJHAziFB1igLm9ARI9Vt/9hnW8+gusjw95fXWHOyjPDwAAHSbDfpEMwRjUCclygaDw6SgEREePT3lWjz66AMUVYXxusEd3w0P92dnsQ2s5cOHsQaWDOx8a9+gAH9xPiBo/yLZQZw/Q2KNwV+6exN/463XUCtT08WmwX/xwcd/giX7F0vC/hSoqsEG5z55CCzXl+41iyXc46fDH4mAfkcc/McufQ/7/XcAxWNI1sL/+p8BptM/wYL9yyfGexx+8COUayEUDtbiyc//Cvrx1b5QO/nJiIHBvinxb+59E2+Nb8Ii2jR/tHqK/8vZj7Gh3Vr005DNqEIohumb7IcfxvVpaL0Bzs5hP/n08kv6L2fN/Eo8aIN0HOTEJGqUpm2cRNCUJco6LqhFVWF2FFl1i6JANZnx+1sfJJKybZUyLhYd8sLv1BMxtNH3fYzeBOBDYEiUjEWRIVECXFlL5FhZw9jkPN33ytpCzKECK4EE2jozLNVW+5C+lpOflQMdBqf74EEU8Ou3DvHvfuM13J0KP9im9/gvf/Q+HsyXAoOq93e953LXBSRPqhG4WfPJDEhdSczIA8f8XLf02GRUMWQ5G9eYjFNeOSMnPmeIoSKigC4vGhTgfZM/rmA0A6d8VsajiqP9ptNpIkoFirKC5HFNhU51stoqwQkVt/or6ICILv5aAN39G3Bnc24Lu1pj/Fv/CJs//XPojw4AY2BPzzD63juw62ZozSAAXjmEt6JA6LOqUxGPm+U5mmR1Wy7nWGQfNt8zUSoZK6er4BkSBYCB6ljJGa47OwOlE2hRzdAnR2O/6eAztGEBStajEAJ8gsqNMWg6FSyhLX9Vwf3v0SBkB+u2QM/+kQJnhBA4l+rAGAuDQuej1ZCVihrt+o7HH60LbJyFOz7D7KOP2d8JAJrDCc7vjBFOPx1MxkCKwJilB5Lbg0UHUKx3icDWQhMaoIv955oLhHmM8g6rOZpTST3Vc35dg89UiqTFYg2brGuzO3fgEvFvPR3D1ZkLsGbCXMApNwRwpLUxEMuTYWNYbk4MJu2VHqlqNVIIhyEgA3LOpXmKDGnr51XwFttnwGOgOj3B7NHDQV+sj25h8dpbEUrOUb6kfRggUCQinMXlcgLcFkUp0eBVhaqIbeh9h7aVlHFiTzAwyEFPQFUoq1mQlujbno22RXDs1zsqHepxcgWoSoaDLRxMyHlAgToTqhOwP5Fo32O/gO/jP5q2hE0BUaMSzH1mneMyWiLeZ4y1qmkNqnLE9eBgAyBGsee1yVn81fpV/MX91+FSz1z0G/zfnv0YP2pO8acryd/LQslgbcwgWJ3//BxL2VV/07+r0YFIuqL3Dc3fIO8pDOBTH1VWcpZWILjMb9cLoXYdCAeZvBhAFWRtac7Pee4vjo95PesWC/jEL+mMAdL+EgCsU5BGHzyTNBpnUSbrqa0qaOtfbSTCfH12BpMMJvPDfUwfP5U+nM9R/OZvIvy5P4dw/z5gDMyTx7D/5J8Ay8UlsNcSBijjF8lXSpauWRGJgrLlg+dQABgmLOsxJjdjiHs9muDuq2/yO/duSAqEVduLotN2vF+UpYR6N23LUTC9YgSPUSupowlcEDIG9XQ//U5ol7KZ1uMZbxL9puGBZnyQ5Yq0SVqG4rbJ9zqTsYbYPNQeqBfgEPAXbx/i3//Wm3hlTywDngjfefA5/u8/+gDrtoXP0JsyfG6anpWyST1lyBFkWbEx1sDliDQv/UKe4DsVGYWrT2JH+xOOqrt9NMMkQca9Ug67znNict93aNtM69DDNwtuM1LJrMezGbfb4d6U/U0Obh6hTD6E9XgM5DqZwBuw9nTQMDIRweXNlEj5PwF9t+KG7779Cur3H8KkDcQQofjsEcYnZ/DTCcgAbrmBW66Gzun5U07ITvu1WNhW/Yo3iMqNmIBzfnKK5TyqWSdPn+DkJJrQq6LANC0SwVj0KeqNfI+GfQ0J1VLoRmbTMc/HxckZ+lS+9mKNahp9FyeHNzE5igt3URYYTUfpTTSwmy8LGbflSEXV7omLQdcUDJ3HIZgVY4v8Mq/nXwjwvLESbCf9Yb3kFXTqkIICrDFc0AY99Tj88BR7yhfEW+DJjRIPnv0IdAo1hwyqFK05gARCA1DOXLGGQYQ8SkgZQj8HmtgX3fxz0NP3AAD9/Byrz34Q7wkBZ/NlqjPw+bs/4om8d+tt2BQF+PI3fg7jBJPcfuUu9g5jX5TjGRMQB1MANvs8WRRVPoyRhOkToMlpe6/Gn9FjcQvuVNGxRSE+aFU+kFpAB/Q5pcj5QeYBtckaAMFj+vghqoX4RAZrMX/lDYTJDK5fo0jt7Gm4paxWihaFhCJoMh0xRdJoNEaZNuOqrNiXdbNZo1lni4O4WRgiFMptYjra53pczC94bW5WGz6AHoY9TJKSvDepsXcUrxsXsErvcihgQ3LTIIPDcYa8gLHCtT568AhtoolYLC1CiHWvx1NUOSl64WDSmhmMgUt7lqUgTWsM9ibZ5YZQlJ7n+GolFD1fL2/g3zr8eYyS8hdA+Efnn+G/XjxA23n0xVUaGLLFBP6SmrB16wvAmoMo/8HWR3AcQZ+VY9nk8lXlDEwak0XpeI0cg1Alpcx1HWw6VI58wF4y3lAIaJJzPYWAzx4+5EIcv/8+fPZtO36KPkGnxXSCOlnZOwo4z769xjDtky1LjI+O4u+FkKMDhFk8QQAATh58xjPt42//Em4eO1TZZ5II9sMPYU5OQAfxYG8uLmJOZ3+5X1x5hW/ac2RHVPsnKMYYFMbgr750C//jb7yJO1OBCgKAd5+d4D/5vT/E56v19T4AO/lKEg5n2PzSWxj/7rtAUhpMCCgWKxQqCONKMQbB7abOH6cYT9g7XsJmizqAZlTg/M4saha7+fBTE9P32P/kg0HkZjvdw/KV16M14sVdanbyJWVqSvy7k5/DzSL5UQP4fDPH/+HsB1iEHSHwT1s2kxEevnofr37yADYQ7xvm9BQ4Pf3iF5RfLtL5KxLVAgw1KeWcFHpmiwK2jqeUajzBaBZPk1U9hi1zFKeOuAPaVszhzmmtP7A5PgSvouPMENoKWyfKfJfSjI0tWHsvqxFHixVFCbaHhzCIwBOD7dCYex1xn5agnELjffLO/bLA/+CNl/FvfO01TCtJUOyJ8OOnz/C//sffwUfni+hMrOzK2irXdZ7bpuuFXNS5QmASZ5hMkHTiJ6NqZMDkvMCQx6osXMqjF61jXRNPxetNw1aTvvMMA4W+Z96f4Hs0mwXXnTOEGoNKkbIG4yQS0+gYtiE8eyk444proy5IOaKHruFgDFiH9u17MMsl6nc/B1oPc8WeT8YglBa29YNzIU3HCrqWB60VilJniR3yAc9jjULgsaqjoIMJDHGSD1DdzCd2AJhETJefzxhG3zYMl9pS8qEWZYG+yyBpZJQC4gHBlhJFVikzwchMGXYydckWtOAlkjaQASXLi/dBWdCInYBBhLASq2ml5nvpBAI2pWBunW3hmg6Ti6Fz82JqcTYFqF1K3VPpQ0dbv6XAmExIWhiYHMVpYiALALTo0CaY1/o1BwyUpseszkE2Fi4nACdg2SireruET5aN5dlTdJv4rmoE9Om94+k+RtPY/uQqIBGgWlukvkuRsQNqnQLaKpzF6EAOMxzrnIYuBHSbWA9DAT4RcJbOoO8KeRg6qblyI8FQitUSk5wSJz27ObqF9Z2X0j/V2re1DGq3iRD8wP1D14NLQTIHfJAgJh0ZDgBFIfBX5poEUgAQDwu5dtbBpX4aVSPsjaPCY6nFxsd+cmRQJYt7YSwOxnvcIE9UoJC1wopnNDs7LLtUUDCAIpfVwWPCA2iZOSDSaKkodRiUcPg3Rm/jF0Z3B836W/NP8XaxjzcmEXV4qzoYtGcJi2+OjuBBWJPH95tnaLf81J4XAPBCgQLKwLodcMW6AYjvswz4Rp6wDGU2ywUucpBb16Fbx3FLvYdfrPm7jHwRxTR5uSx9D0pRnFABi9ZaDpIDWY6Qjkx8aY8EOE+pVTxmJgc+pH+XVuD/fr3Bg4MZwuEeXj5foAqEK/NxWguqKmCzkb6zFtjb254iz5UXVtAKtWHDejUmzYAdPBs1x7MDTG9FWHN64w5uvfmNeINxKKoUzkqEdfKZISI0FxINNx6VisFaFLSy1NGJEo8VfADlqD5gkAC5SpFtMf+jQIhHt+6xUkZtiy5FvW3OT5nJnoxQGgQQchS/jl7Vsv17uMLMCQC3RjX+nTdfxl97+w3UKudb5z2++/AR/ne/+318djHniFkisGOP7+WdF5sW0hXC5j8ejVCl66IkUdxNAHIS7l6YrwMROpIT2VjlnjvamzDb82Z+hk1aqx59/gTzFDXTdT2Xq+0DVonpu+t7nC+zeRmYTYWK4zfuvMKklr6cClGtq4Gcv9MWMDaHvnuAFc1Bqw/+VXB+V6DvBWJpzx+xwlZWFYx1aL5xgLDnUH14Cnexhmli9CBZizCq0BzOEOoSs/fFHwkG8HszHnvjSkWbhVZBnAVsJnjtG/gU9h2aFpTaysOjTf4p5AI26R4KoqARAceKd208naDIy13Xw6Y6LY4foUtt6J5OUaRNyADs3xcjdzvuj/FUQr2rUcV9fuuV2wxBldOao9PapueIybbp0bU54lXIQ733WCfYwXuPs0dP+BuHKspuOhKo1o0cbDqUuQnw0rKEDUI14y3heLTE+fmHsU1AUCwN8Ju8lMncmNRA5hS9sedQ7cV7ahNQptPLk4tTHM8/ir8vH2HSRbh6ZDvMXhL/2Fk6YIZA+MEfifPvx0/e5Xq/+/hDhKQEHNy+ifFefP7wxg0c3bgR23I0xfggrotFNcLB7Zz6xaAYS31RCPzvVF7UQgK1URZGKB5I4KTl8gJnp5Eh3fcbNOuoXFVFgdfGX0tfA+ju2+IHO3BvkPWIyGPv4w9hezkgBFdg+erryW8HIGuZvDjOZ9mCvOLoWm8kD+vewSSRysb65CWw9x369Mxms0GTKD2ssagzdZKxONy/kUsIHxrej0YjoTFZnzvOqDCqxtgvYvu+euce3nz9PgDg0ekxVg8irO06h3uTg9RWJX71a38q1jcE/N3v/A4rKKPasWW3qCqGzIhq+D7Op771CH2mz4n5bOO7HIq0thkY8bEDpRyhubUK3HFT/Ep9HyMrVhcD4N++/fP4t/HzuE4OyhH+g5d+CQTgWbfCf/T+b+G9dsi/dZ3itR0pr+8ZUDKpK681bEieU9OLK8HIWoR0YOw3a3QpwvHx48/xaYq27JsWbUIvunWDi4eP5dvqgHpLBcr7xQJIY9P2nnPDjusa9Wy6Xdzow97lPQ/wKYl66As4ptwiFGq8H5Y1f3D+6cc4L0ocB8C/+jJeXjeoLi5g2w6WKPoD7+2BXnoJmE5h/tk/E8XPGBSHR9CZSL5IdjjNT1mMMbhd1/gPfuFt/JU3XmHKEADofMA/+vgB/k/fewcfz5dxQnwZdXsnX06IgMKi/9pd0Mu3Yc5XQAOYUICcRTuqsBpXOPzOj+URAKEsQZNd5NofnxgcrmRTIgDBEk4Pd5PhT0L2PvuYrwmALwvMX3vzT65A/5JIBTtQzr6sGAAjW+DGdjL1nfxzSIQJvQEWr76Mkxu3UFxcYFbVmEynQFGC9veBW3dgfvNvD4w1NBrB7O0/592X5Usk6br63wQhW3RGHNOtc7DJT8dYy7CcMSRWJQXPgLZNrWLujZF58gjfR8owry1XylwZzdxyj1GhlMYa5GO4sVagUGsH1b3K/0shjoO2MTBX3h+LYnBUlfgPf/Eb+FfffBWFEWB04z3+zo8/xP/+9/8IiybmCCX1bX2NrRNP/n7Xe4YJS++FLNbKqdsYglEmaf3Oa03dGoJQZmsfJJ+e9wJHeC8EkyEISbEZvFNDA/xy9W1uNfW7avWrm/iK24cRwCGdxMqPFhi/dwI0HtYT2m/cRfunXgLMKP4PSBxoa1RPzwef6G4dxHa+7qSJ/DuxU3cIgdtkANMSJDrXRK629AD/DuQ5lt5LgUk+IzSWoWHVPCR8d5GA08jvmVjSmKFbQJCy+07y/5nSscNr33qGZfrWo2+Fiy47mgdSLgJhOK4CCSQQgqTuskECforeYtIPN6ZlTehHFoYtZIat38O1Q88ND/IZgm9hklWvcD2szWmw/OCZAZxoMyQqpM/WEOrK8fisCsOMK44kJQ9Cj5Ct8H3LeQGDK9mp2cCw1d7o9GgwQCiRJ15ReHGhKFRKrWBBbEELvJZ2myWalFMy+BZdkyDcUDJhsTVGxW0O2y1FHMT7mgajk2fQ0hzeQDebMT/kpee1S4ea41bBgdYoqM+q6E5z2aIT75F1Nd5r1LU41Ec0J8NcTtY9lQ6MiBjaohDYtcEq+MvCDjdXCkIqrKFlyG2DvK4YPC7tsfUvvTYO+QWzZfO6he7FxV8N9nyhGHP9XqZlyGYQfwFi2+bn26ZBn8Z6u9mgTVazoDjBBgTn1sRUeekLfStMANr/V5PgB8i19x59p6HP9IAPoOyKYQ1HVGoUcNtdSc+Tl1qPr/mAGgb1b/83WHzjbZx+6xso7txFzZkDDLBco/jkE9VGQLh7P66LaUwXL5CC66tZ0IKM0JjnMkEWh0eoEyfO3t2XcefV1wEAHgWWi+yHYoQxmwgFUzMQoDor9BKKG0kJ00CmkunoA6yYC0OQxZvAhJFEhL4TmGu2L9BBYWVij5fnKDaJbbhr0OXErm3LTMXGmEHu0OEkIv7eIEG3svhbAP/Dt9/Cf/vNV2MYcHrqbL3B/+Od9/CfvvM+2tAjU1wEEoZtIkKb2qdS5tfHz85Z+X18PmdN7Pb+AfYyY3Fto+kfQFlYjMcp/Nh7kBdFqu1kILpC4Ahyltu8XbX8vacn53h6HBdv3xPr2j0BbVII+uCxThuVtQajDHESwZVC32GwlP5TbnKxKdIkUhvHti1FcqUbiTgkAvWKquL4M940997r4M4sL87Fjz/DcvoQdjyCSxBEESzG7zcoGoGRYS3aN+4wvQsQIaUsvd1w4ZreI0c4n52f4fQ8wsGbtoUtY4F736FZZh89wnIuCrNTvhVVL1Qf89WcXQ6OJlOUCTrw82WkpwHQbDZYZn8OGFCGrZSiZ4yBVVF3/VKiqB+cfyr6s5ONtu8Feu07z3QD1hVMjQJrgDzGQkC/EUXzYrPi/mwU5DXeVAzXvbQcwYbhMtlNLQ5QoEysqx15zNXakXONajeuk2cPARfnwNx+D7aOsNjhxGBSxRub5QnqRJC8QosmJbJ2zmD/6DBeW4OXbx7wt44UHcLB+BFHWf74s2OsUlRwePYM69NEf3J+APM0vquoxqinR6mdShxPElRnLDCOEe0EgKojVmbKQnz1Rs7ndI+YjhzqNI66zRJ9G+Gh07PP8dnDP4qvNT3KMvnCjcb45bv//fS7QYHX2cUgDtOkYHvxAZ08/hyu7wZ9sbp7F7jqkJdLr27e2xdLc10LVDvbH3O0Zl2O2KesaVr2Re77DuuUDaMoSlR1jkQGxmMhH2/8I/7GSEHohzduAIk2Y9JXKBIFSLte4+zzp+l6hb020TAFwiyRYjvnGPJCCFj0C65nXQFFZi4wAqr3vUGH7KsLzoYSIAdkay1DnDH/pqxPN27fGkSjnoHwg/YEXikYzkqe1LzN1LB4yYnrTkcBj5oFVqHDabfBJ+0S2PL9G7IyDOUqiBPQyrbqexCC4oRxCDxuL06e8UHtu//4H3OS8vb8lN097t2/j3svRbjZTmoUCZY8PX6KHzx6ACBSaH3+2WepDMCf+fbbzFyw7nv+xjIQMlf9/PExCJEyx7U9XI4k7z1MgjhtVWJyN0a6u3GNcSFJ27VHl7NyKHq173HTjuIQ7z3qH/4Inzx7jJvf/AZ8G90HLAHT7/0AxWIx2DfOX76P1QNR2l55+xuX2n5bdhDnT1F+7fYh/vrbr7FyBgDrrsff/+gBfvvzp3hjb4powxAsPFtdHq/XeLLchUv9pKSdGUzP5N+utZh84NG+GoADgln1qB+0KB57xfYO9AdjdHeOfvoF/pdIJt7Bbqngq4Mdp/afhNTPJBl1luVLr15z905+knJKLf6zzXsYnRNrgQezQ9SjpPQ6AxQWb4YR/mfu6/zcwrf4v57+EL+3eYaF7/Ckv0zAvZOvJhcOuKfOIONA+PrpApvVBug62MUK43c/QP3+RzDKkNIdHqK9d/9Lf+8rK2gDCIqvxIRt1D0DAlsdibcFqz0vmiS/bOCsqN9L13xDXYv+/0VmW7U5DGC4q31gtCnYaHhVPVJZi7/59uuYKZJRAKgKh7/8xsv4jdd056k6pV8ezxf4d37z72LdK664fDe3Da5sJ4K+vqaeXyDXwbxf9CpdVm0T4d81NPVF+MAQWIbq4q3ymUu3xFdK6qfVjQL7D3sUHPUBjJ46VGctYCJJpO0ZoYxWjcJi841XQPUQfrtu3A7644r7tu/fHmrcRpfadtif3AzbiPGV80FepyFnk14wIKPM04zk+e16yCUNvqdwn+2iK+Oo/EOP0VGwA3LlYIDNxA2gBl32gdvDoP7y/RCIFQ0iy9CqXjd0GUBGvX8I9egpbq3hMWIHeUqHcF5GA/Q90QIytEZw3fR8IKv6T5dR1QOEDPkaozIRKVJQp+A/k8LCr+wzJdXF2SCFV3AOmxs3hje9yEKw9Tdz7Rr7vHddbqurZLCM6HGLK/pZD8jBl83wnud+87o+vPoe/ZVhf1xuhyV1OPUtuxusqMY4W+8QgzOOtrjnAhFOQouHfjVwufipyKUuo0s/6/mqo9hhLEeYb5dbRqlJXXZ5/Ru4zZjh+LquX4buJlvfU2tY/svT0uCNNmCUOfkAvNR28H/wDuwfvQdDAaZpYVXAYihLLL/1LYSqAn3JxPZfKRenPlCNZjP2Nbv/1tdxmCI3qRxhnSJXNk2HRYrOMABckMqVikSnUjH4DpIEvHSCzzfrHi0vPuLn1vuAthO25pw9AACQIowIAFzJiwMVBYdCu3oCnxPXjkacksE6y+H5zljF/G0kjHdLOtUJwcSB9ms3j/DWjYNL47cwBkfjL06aOi4c7tzYw8PlEr/xZ36Nf/9bv/n/5rx0nx0/wSZdz2/cxF6Cm2/dmOFmSr4+oRrTcWwz5wi2lE0uRxrBgCNAAUQnhkRzXjjHvMTTvT20KVKpaz3aNmVlMAZ1hiKtwY1Mb2ANDhLkYYyBCZ1sYl5M1XpD2FaPr1pqiLb+kHUuM6Roevf9R2hT0u070wph7PDyYh9srwmAu4JaiACQs2i+/hL6t+6jcAYopH1OnyoyTid9v1r3nJDi2dMG5+epfchhuhfbYbNeYJ1y1FVViYPb0TrnnMP9O/dS/Qgf/eAPecE4Xc25XWaTMYoE54/GY5QJBjqdrzBPrNqwDjZHjhmDspRr32jriI7Ult97eFkQSTUwZFPxLYHSnDHWoGAFiFAp3FGvHfOlwDtdm5LSGwM72oNRDBDkgFkoMLYWewmqX3YNnp6fcvs0uR6qCp88+AR9IlA9/dCho9jmb79yhFuHiQi5CKgS0ee6bbDOa3Lb4SRB11XhcPNACvTqqzd5/Z/dmLDSf+NmhWUiZh1P91Gm6PH79+/j3v14APOe0CWIpe0DjueZUqLHp2cP0seBZ2dCa+FJKF683SCbU3yNmAQewLQSMtXXb1r8hTdei/WrC9y6cxCbxjok1BYwAc3p+xIpun+f18nKTpHJauv1fEAj4EdjFKWJUZdp3JlQcj5FWwzXxNu3D/l6MhX4cTab8vrpXM0M/EVpUbaJ6d14tG2KRDZauQzIuWXJEMpiwn+j4LhvghX/wnXRo8+UMKcXOHsQf6+qMcYpcrMoSkxTrmYCYZ4g40ABzajnDXxKFdOHxCpkZaFDjuw2zqJMe5Yng1Yp8aOUicUai+lNibS+ffcGT62iLlhxmZ9ccHLxrl0hpMjWem+M0WgScxcrMRYYTxxmVYngCSs1z/gedRiz1l55ve2Dxv6qRuocfcJE+VHLBhw8QuqnyhnUCTd8tlzg/DQyNly0DR6cRuizDx5dIupuNw1OTPIVKwJCIn0OxuCxMlK42R6Pz8m9V+CSu0ftTE69i9NPHuDskwfcNgWPDznIeENoORcuoVVuUZ2KoA91i3epwreqQ5Qm7hsOgGs7oB32AyESOj+5dxsPxwXCo49g1Ib06jeG+VOvkq+U6ml7lxQHT6HcoGtOBFedbvhf9JzD1BcKXXn5haItPFta91W/X3fNnyba+j3++7XpGGNXfAmb1eVymvTNa/0HrrFGDg/GUj5dVsJ2ua+uH6CsBHixtpFrMxwrGNq6rrNVskI9uH5OJ+eHt2/RQ4QCTqdA6Ze4uZmgVMmityUUAZtXJmj/9FtMxX5d5ohUyPQN9Y/tW655ntsHir4mhMF4vPRWpS9dW64rvnG5XCSWjcFHnjehXvx7lw00l99riVCYIcDpXQCMbBrPfct13RKEn254Ur66bnTNdSyDlMMaw0qhUZYyfW2t4SADojC8J28W2B62dOmX9AJui0vrMHKZiGlVrJFvG2PwvOExmHMGgA+wXb+loAnlwBethZd/N1c+8yLriDaOXFnu65COK37eXhuvtOxfbVbj/5rrvqF+EpRg62/X7jnX/O058/rqXVY9Y+jaOXHlPvAC14Bs1IN9Iw3Za9f0K9uWBvNSW9akv/B8xUDvKSp1GlvhtxvpuusrSpe/L0UnPLI96m6OV4spRvb6Pb0pCxzfuYnjt99EKN2X00uS7HzQfkqy6Hr0FC5vri8gBOB0vcF5u2OO/kkKOeDJfgs66HGwLFFvalhfwAQDsgGhJLT7Bu1Ni+7+CMWo+uKX7uSfSwjRyTlAEg51o2u3oZ38cYox6EdjkDEwRCBj0Ny4yanidvKzIUvjMacOeyYm8l6HHs/8ZavZTn4y4gF8bBqcth73UOFmUWNUFLAw8ADWpcP8aB8ntw5wcfMGB8N8FflKCpoxlk/D919+HeNZJGSc3LiDYhRNkU1PaNeJdqENQArHD95jvswJmikmMUZcfvf3R7wO1yVJ4u9Cafu+Z7+LejTGKEUqVs6gdIkwEIQ+ZDJOg6qUBmp8x4qsNY6vq/EeXMrVVk0umO7AzSpYl6PQAigxMpvUDleJV+S0oyqy6v2OWeL3f/B77EfTNS1HaOpjRyBJAK999FrvgYMKYyrx1tfe4ve//Mp9rFIS7gdnp2hTgu2T8wssEtxiCoPxJCWFdQX6FOpiEdncs9iRCjXW7Pi9RNFOJ1Mmpfz6195I2QsyGWOqP4EJIuPL9NGhVT8r3xbfS+L2QGJBN0I8aaxlMmJgy/qhvsfuSwZYK5P7jz9bYZWg9m/eLTGrk1Vjz2J1YGBmke3agkAGKCYzVDdvgmyEI5QdcND3P/jD9/l6MhWC32CmyKSf67WBDylSrdugXafITeNxeCPNn+kYr731SqyDczi4kdwFiLBYzXksPH33XY4sfnxxgSrB/KN6ijJBr10AutTPhTVMCuqcw1hB6jq1Y7NuuUV76tnk5Z2E1Trn2LJXFAVnmNAWBWcN6mz8I0KnWMx12nmjGLrbrsumRXwnfI4fNhHi29sfY2ImoAcW9f4Y03uJ8LUn1BjxNzbJEdqrIdH7Fn2GooS1Al23wnIex+GT+TOs5hFuaZoN5otIT+F9j9XyHABQlQXuHMZvWQB3j+7zifr+/Rvc3/dfvsX1GU2mTGA6qkvUo9hH1lhOHh9g0VO8pw8BHz9OOWtBePB0zmusdgOZlSVcipobF8SEu7NxjekoQmd1VWI2m3Ab53KEQFhsxGF8/ug9aZSLBXIotHOHMCaOo4uf+zaKr3+dy9WPSoSzM5BdgWxq83aB+UmMiuzWF0xhAQA37h3xdVlabrfJZMzrSN8RU8oYCx6r070pqlqTtIolsChzSxOajWxjVVXzCKMygEwmi/Xoc4NuKIaaAyi8YfqH0XiCG0cR7vTkse5TfxjC9O4+rzezfsRzoxyNeD5M6pojqslboI8laboOy3Xav0xAl9vZOty5Ke1jnfhqjCc1R0uvzpegVN5pNUOVeM264LE43+A90+B/Vf0eZntpfSkCTlBhH0fwPmCjF8ErREdr6iw1Q0OXERM4GbC/I4izxoCAsxOJaP/u3///ctaZ7//+dzFP+TSPT1dYrOP+7D97zFGwRekwyji9spgaAOXsgN876WXP0vP95Tu3MEpuPUeHBzhIusG6IRx/mvMlt2iS8mqDgU/7UQGDTYrgBhHalcCaCC03hndrhrEXpsQxORTGoDcWnbUgGNiDAxQ3ZvCn56jaHjfeEu6zwv0xpXoyW//Kjeeci2mSEH0chE9kyJUgaIlwH0Xnu8wNFc3/ArEoMyqJwrDNaDywVjJbOqAdiq0y016q1xWQkjFWrm3gtEfbkNW1EKdSFoyLZv0WhHnf8mRoms2Wghaf8SHEsOr8PTVhnLWwMChUslXnHDO+68YIQfiuQhjyyHFZVR2ISPHwbNn5lJXcQCDWogBMZhAPMll80AqaNlWrvk9/G0Bq14jAsMPybt2l7pe66ru6nlg51fxsIQQEY4GCQIbEwboIMU2Wqjtfqb7vO9mQ+l4gLDK67lJG7SRrjKTVstZy3xpruV8pEPv45HbI9fJBwtyvg1TjdwQG4H7egmMH6/E2XH75kcF7h+2jFlc1dmLx1BsUVESU5jIRWvKsvJfGo0bU/kMIw28jz11dqustbXrs5PrFJO+Z1kH8jPT88d7zNSHuT8Lyb2U+qNRV9ahi2pGytCgza76xfCgiWJRGfGhHKbUUEaEupR6Fatm6NJwpo3YBVfJBq0uLUZV8yCqHUeZYMobHTjCBU1wRkNjZU5v0PXJuOAPhUPRlhZD8GgN81OiJEmSc1hcvvHeBhsqAU3wFMUDiinG4lSpI36P9fK8aX0OfyHx4ys8HGbcKetPu53GNkPnDEBnUs0QxhVSGkEkOa9Za8b9zlusbyCBzNVgvdQ0Ycn1J/QiAl6mh4O8I3eU6SdYGBA8C0BPhGVps0s8eBLIGFpGv73mUGs8X3a5XQ+7a/5eIBplz2maDNilom65Bk7gAm75Hm+7rvOf9rgTBVrKXFcqf0ak6/P/Z+7Nmy5ZsTQz6hrvPOddau4m9I06XJ0+2t61bqpLJwAArqUxIMsyANwxMDzIZPAA/hxf+AU9g6BUDzHiQhArK4FapVHWr0O3z5s08XZwTEbtba83G3QcP7j7GmDt2nIy8qkKJbLlZnpx7xWy8b8Y3vm8k1j5i419k58DtwNh18PVgQt7rXsLkftUPzHtYCtZ+MDqXOastgDMSCImByTHm+kjgjA0zkJJoUbb0Pi4oNp1s1ad0Sqd0Sqd0Sqd0Sr9h6f0hTsvOMGKtu4tLnD27AgAcY8LDm2LGDGEQU2xOEamy53KO4BofkQB0DQtBiSvX9pc5aVD03ntzWjYwY06gqgwfuh599RGKKeN+XxW6QRUZLt9zpiAxKWOlmG2dXLegvrurc1x8UIUFXUauLL2cWeBEYL0D3xhI54MPruX0NM+LnDCXWSHOIi5c3jBOC+7uinmVc8ZshAybHlc0u/vvf/Y9TNXE/Ge/+KVkZJwi7ir75GJ/wE2F9kCEZ02ojwDkdu1wfqaikisuFgM5qsWhfX5JWeDYaKBZhkNuQYPBq4DljVdJAJyBL3JOSEbduz3DJnD92npqE61P16Y1xqhMrpm3mOo/+aFHXyHdzeCwqRYLRwyqloTCfFQLq7yW7DkMeHi4keuz8w+LCjmAh+Mescp43N0fcTw2OH+GqxaV3W7Ai+fFQtENHVwvHud4aHFEGbj+VGVYjq9vkKrVZ39zj4djadvz6DFU6Gecswgmk3PouwZxOvSDCS8WW5EYy6xlisXMV+oBmhxYrDDlukYCIIdQyxQc4azXQONLi5sO4DCpi4EPG7WgAfK9/XTEoUEgfMSyFKjpfHkmfoATAJc0GLLn5sZgTt3xAczNIvISTAW+vN9vsMyl7928eYnbCs+ViBu1H3Qez6tukXeE5pThALw5HqS3ne8GqY/t0IvVM2w8XNesHoxY5ykHh9xcDJyX2LneAT9+oWKjH59LrQBpkus0HXVspCQxCgcCqEVyWBLEiwQAN0iVWcSLAQKTuhvwSGh9/dX+KywVnhvOLxEqG9V5L/2WXQC7MtcfDzf44mf/vORvPmA08NBuo/12FbUhaaSKOCYsTSQ7OLE8EbNaTojga0xeAqELxq8n6Wgchl76VEc6fjPUC2JznLAZSj3kOWI6vK6fiJiWxkRPGPo2h1ERNa9fubzaKSrjnRiWPBiNptd3G/hQ6i2EXsSvU044VnaoI4e4N/OZmXSncVYru4F9L56d4aLGbI2cEOvaFlPCVGH7eY749psaSYIzDvv310ErEiTtDxbjZlk7q9UqJYymg5HX+dmEzMSb24ixjuMjPcfUl/59n7/B7VTGtCcnorDBbeD8uXyQxQwPZOtaNBhI++JKfFrmXUD1IsEBGUN1A4mJQXUepuzQlmeXIKK15BMkJAhzXYvqehajXCen+cqUBHbP5NBcBJZbLiLlALrzc7hqgfY+4MUnv56G4N/MB82YkV0ICHWSycdFQv9418tgJrBqEKWsJkOCmmtRK9+yQ+Rf+BGUYu4318ErRLCGQtpbbDDaZtq2ANbbb/YhYNjVjaZLyHWhSykhtXAxbxlI9U2bi0Hp5LNXn7LZGwgla8Srg0NX6bopJfjW4x/BnS0Nm42Y2PuuEx+I47SIyG1MWdTOY1IleDDLpJXBKzjBw5hjrbVX121ko1WTKwFCr9+Gk8pUx6tXvq2H9uiDjz9u0tPwGq+uLeSS4cFoEGIw0KJlumW4BvWQw1MAZ/lLUzIRMMDax1JKIrMRYxS/xuCywPE+OAzVd8h3Xn5nEJLR6gqbQXIQhkHGzZTvxedxiQm+8twTr/v2ilFoIPvmSseMldh4i2bxVHmfHH+kAdmdI4l0kLKBfJlXY8WyIe23U04SVWRZHJaqq7PMs4boKaUq72GA2uq2GuBJGYh5FhmJlByWuvLMyyzQi/MOfV/dNYjQbzbySqM2hiWlJxlp3mu5nScJ/r6CSEwdcObV5nfXa/STzplwNkbwcswkYb4iK0xfvF/aQqlhwpjL2AbKeLUQVClb66wTWmeYDhFzbCeZIIdVHwJ81dzKlME1osIyjzgeyoKbl+PKp8nOKWWRteO9wcmqT0gGvgJZVwJarRXturhmaC16E7Kv9A+FS9vC6nzUMUAJufor57RIfTIYvrZf5uL20Fq667x8M9tBkO14IHg0X0OgeaVQIninfpvaNcxOCBU2tmOljqEQgvZROIQ6n43jjLHKO+WFsUwtIHh+q83fOz1abmRkMRvojuFJf7cDeYmMpfajjF7CKiX2InlCnoxwuwfZ2KN2bWguTjUjsv/oO1BrJ+9EdsaGfbJMXXtN+tr1mZvxboiTG32pXpslsr03xwWxhrIi7+U6+/BWnf6qdII4T+mUTumUTumUTumUfsPSe1vQ+q0Kvzqj5zUdj+JQH7MTB/m4PGD/UEyr4+GIw+1tfUJFBsk7bLrGKCN05iTkYpIN9JKWRoipFphqGvcLpsYESnllMZraDpaAZtNkAJOxQs2TBj0ex1EgtpiBFrtwTkmYT26jwq7ZZwOWksALQDnxtq8c4gwnAdmNPWbw8nucM5ZqNcsugfp6OkgOJDAOI1dz7M8//1y+dXa2EwvVpx9/iM1QbLy/+PIlYiqn2jkueHNfTcre4Tg3uIXBvlk8faW6lfJsthu048GUCNSsfSGhGg4xsRIaYs4Cva6U15mFeUkAnM9yHbOSQmLKYgnKKa8YnZy/+wRoHX0JMCchKn9IXiKQmxBiwrF2sH1iNDHurlM4MLgA32CGlXspBBoGgI+/fy3XZ5e9nOA3WISUEI4T3FL60eXFGa4uCrNnsx1wflWhLYIwvIqgrLItu6xj4+qTjyWGKkdI4OG0MA4NNiclk3QhoG9kDuf1RLgi6TCypXSqLihMjGt447zswAYiV3KMYzU5ESu8BwDWZza46nQOFAtOzVdw2i+YIM63U844VmvXQh4UmiZdsWqUB7QMZ2cagB1DRnJV+DIdxIq8PWO4Gsew6wI2FUL13mO7qxY0AL1XaP6hwjMA8DDtEGrd7i4ugGoB8H4LV1nl3qnFhTNL2xHRSriXjJ3O/p7ZiLT6vji/A/A9gRr70QdwJRykDMzjXK8zxrlZ4YFx0bbwTucsF9S6NY4RUxWgfnO4Q71EN3ToqvWGnUP2LQ7oPW7vX5ab0iT5K+XVfhtIXSgok1hbNsGhbxZXn5FcIxxwsaYCABPmxr4jhz4oHGw7a0pqSfSuUwtcXAQa9ssCV/ukByP5ZtnJ+OpNWaecZ2w3GgfZCrguS1TjjhYDHLX7bcIALwLnPbabuk7FRYKAO3I4q3BlqVNtm27TSZluXRChWtcBsULTMSXEOqCmadb1dpxx86ZAnIyMJano6lNpJVpLJN9d0oJlqo79xyPu7ypDM7OwyJ1zOL/QMnRG4PzTzz4SkkD3/ExgvzHdYsnlXXE6SjxSzhv4urg45zEMVXkAKEQhACBg02JhooyHNiHlhQv7HMCb+1eY6ji7e/MasYr7UoxwbfBnAA1a9wxuZC9erznZwJ3ZAdzi10LXnUwOqf2eo8YrzhEPv/jrmlePadIJ8L/17/w7+FXpvTdoodeKd6Rspbgs4ovF1IHqApOWiFpXmI9HLFUtnQgIwlBya5kHY7okzmJ+zFkxYGdCl+SU1Y/LsNBSSkhRVX2tUGY0a2xh39VyxEU3CBmCJ8esQcp9Fp3S9aaBC7ZdvsGrdXzJUXySQtCJmsiJaZbjoiEuiNXPw14zi47FmzZQAFzsNvLOy4tz8et4+epGzPgxZYxtoM2LwJ0OjCgLNAEGVgm9qn7HrG1BSX2QYmakNpgzG/Zp+w8eQbPq38Uo0Eab6LKBQu31d4UCeyqZbVr5a4WWZrSdQ4wZrYtMyPDC1w7i6+KSKriDLXq23qxdXuli0fcaELpbIqi+14cIV/0XtxuHq8vyTBg6DJUOnpgxQxdvZyjZzqsJfXt5IXX6cH4HVJ/Q+f6AWAvlDAPOeyebiCIQbG35uilgw6YrIpeQ2lRGmbKiyUDWYO0XxJaduxaIXSPZ5nucZHVzMIxiImFqRWYs7RBmRSmh7g0Wih36slEFgLjJong+jbMEeQ89S/DqrgvYnVV/K0cY6mHHlg3MmOJRD6hxQfY6hqj5SbkOvm3QfCf0+pwSMtRtgU39k60nW00WTHZeApyX77T+4tAicueUVf4mJV0AmYU9B5RQjqpkFKQ+l7gINHW3P2Ksh8d+6NBvajmIwLXO47zHNNdNa5rR20Zgc+gm3TCx8QoIvpN6m2kGNwX55KSP2DBtpZ+29zb3l/peo/hLKEzG8q5ZD4opwdW+lqEs6gzGw3Gs1czo2+KLDGcg0pwV4s7Q76WFZYOWqTDAgbLZCCZ6R/DtYOEw9C0APAMU5F190OtpGrE0v7xAIh2SOMkGNsaIpW7E53HBWH0NSw9L8u13JTJjunWKnBJiPRAdDge8eV199QAEUub5ZmN8l02w+stn54hLlXjZdVhq5Zz/rEeNSY80L0hVImchFt9Q7wMGI48VjLtNB2dcI7z0e04scP7xYY/c1rzDAbmu4ZSTwobMKjOUdZ1i68cD1DW1rVvK4kxQt55EebVxg/h9Zsy3N+V353AgE+HoPdIJ4jylUzqlUzqlUzqlU/oNS+9tQXvxyYdy7Z2GxTm/2ApJYJyTnOCncSoR3gHM04x5KqwPRwTO7WTvsUxqWaOk2ZmmSXexxoLWDRr3LaWtWG289+IUmFLCVFmjRLQSN80UZNe7qBZnPRnWXTkusUzlZLPgDnfVXLzJHv2VcWJszs+ZMR6UEZWOysCJs4ozGqNEOeo1k3lcRIsp52KmByoyKwdegqunzD/5i5/Jt37/pz9EV5ljl2c7gYm/+vYMh2rZzGDcP5T674PHt69vSl0Gh+vzyjBhh8Oi8KOf9Iib50XK0y1ZIO1MCspkqDWtqLU1iwaDkloJ5noiI1Jn2VIHWRxPs3F+Lk89nVRTzQb5JoFVGDX+W/2363MnQW6HkBGqxSg4iENwaVKF/VgYualaclGsxMYE0KAMAJiTihqSTyIqenER0NdT9G7n4FxpbybCXN+bGDi2Uz450FHZV9nAURwUbjn/4IVA3zf8EsdcBXATw6UG9XixoIFI2MClvM1yu2Y4W3IFE9QZnUmcwL2z4r3GSR2QGK0pZ9wbJnLmQTAhNtYcTrMwErvgENqp2GVM7feksfoiZRy4Ot8y46ZBdybfLmTRTwzdIg7EgAPnlgdldYUAhK61sQP5JlwJkBGLTUtGa+MxLliqFSP7AKrswq7bouu2tZ46+GpBS7RgyTXfKWE0wrGdDgdEJu34zjAWvUJQREGtjkRi2cxxlviuKWdheQNFK6qVKedFxsZxTvK5V28OOFYo5mGeMVU4a8cDuFobMwgptjoc4RoETBlWdqtZ7gGAOlV0C9QJsuDDIMoAKTKmGtM1zguOJg5iY+Q65zEPJt5xUpuwJw8lBihhIFjjUVaXknnKOD5Ui52PiOlNeU9H2KJahggYzhTGw6L9+Xg4CMzY+0EspXFhHCsLO3T9iknbVX0u5zy2Z+rGEHqtuPvjjcxvMUbMtQ2DU6LZNM5qKcsOuypO7PsOHyxqpW0kiHelGBcZ0/v7e0wVlrx98wa3b24AAA/39/jm6yIe7Z3HtjF7ncOr1/dSTx999LG08cC36Cocu0mv4VK5/t4zwH2vuHg8nHns77uWVZ1jkUFzQYocEXrSdXfIKkZ83KtFKx9GCNHl4QG51tm83wtETMziCuUygWs9heCljovnhq7PnJLqJjqI1TsaF59EgOAtPsm67XwHHMramwF8c2vo1e+R3n+D9r2PzEPKrun7Xhg1aXlAznVwjXc43JeGW5aIOOvCTKiK/8khLTpBFWCkvHe+vTcVpBu0YbdFGFrEAAgzxIcgptkYoygYA8Wk3e5H0FhycVET5e7sAr4J7npXJ2Hg1f0RDzf1XV2HZ2gdhcWEzQDmsQ5yZiz3OimNRzUfZ6PID84CaeSsFG44B9dYsZllMSOGiML+2V/+lbz/B5+8EL+zy7Mdzivz7PLiHHd1gb9/OGBfow0E7/Cq+lkMfYddVZX3YIwG/+VRA9KOh1Hawi8qYgmjKp8JYo91cOgEgWDx42LOyCaQvCM1VS+Gdm/h6neDmo+hz9YWeg0mDE79U67OHLY1vxuf0ZD24KgEQEezlrd360Js4dHCBNJNvzeiouNxlKfJSxfB+UXA2a5OXJ5kQcvkxPQfM2OMbZOc4WFkXFRrsfiA1ono4sVzWegOd3uZsB2isPa9cwgNvqY1O1rWawvjST22fzNVyhlK/YTZoNnDByPWTcuSMvZ2kaadgbmML0+aZNPr3YCudqCJWOpnzlH82WZOGOsGIeWMmyo1Ytdh75PADiEsyHWVLotog76oOJag1K8Pzdcli78kwCtYJCUVzD2mGZ7ru5yXDVoIW/TdWS2PbtAWTOJjldK02sC08AvcvtiYamacUDC7H6csVQeFQzIvGKfKBM+pRGmoKVRsicGIUb+9P+7lsPrq9S0O9YA25ijRGNBtEQwc36YL4kUCziMlZa8Cq293TqHy3nfiSjCEDUKFs8Y0y4Y5zhGjOaQ09xlyHlvZgADr3qc1UURdGwyuvpNIWcSl53HG4aFumN2COdVNde/wrPrMMRibswv5xHyrENjxsEgZ/flGInnEhZHqhqTLgBe4jtFXAWPnnEDqALDZaRSS/Xgnh6IYk/itzYvK1ByOI45VQqPvtzirfq1djAI/F7+etul5GuJcliis3zdvXuOhKv5//eWXeFk3Zfd3d/j26+JnGHzA1cWz8jA5DLu7Wt9A77WvDrgD1YPoPn0FVzesn1wyzkLJ6+3O435XDTzjhPv7JjEVkZY2lxF6pzDqkGb5xmE/KuQYPdrsNu0fkJq/6uGgTPuVW4WyUcMSsSy6hsNEwygHybZWK9QdY5QN2gJWP3mfRZKEUoJr8hsp4euXr55sg3elE8R5Sqd0Sqd0Sqd0Sqf0G5be24LWbfTWoetkL94Pgzj0LhjgxnrNG0S005Pu3IlIxByJCGFQK1TcqyDjEkcNH5KUHkMdIVPDJAj18Iqu7wUWyVEtdgCQJs1Ht9M96TBs5JQ6DAOcMbMzK9MGFQ5x2cNVeBaOEOqJPFMGY2wFLCcf0dMxXqurOGcsp9/MwIr12DwXDeGAiLCpgnc/v/2FvObm5kacmbcuoKvOpNtNj7PKQhsnE2MxJhyqI2xKSQR9nffY3DV2GsF7tUAe93uFOPteNHlcUC0x33UapghUmHwop5TmkFtgsEXqiaCY77xEtaDlRySB9yIKiN3K3K5hcQDg+WWHuS995wyErj7T9yw6RT6oNa2QLNT6FwXacMhQ6OVxqCchO5CxBJr4otlYmMBJrM7MCsUQAR6G6OKUOZ2hdRIMEua7ICw75CxitokTlgYduGIBbzUm8W4JJbySGAz11LiyuZFTgsyjEDLShcFYqiVwSQl3IpRJ2PSzOkJ71eGDISnMnMQhfGHCwm2Mdkh1XC/wuKuW+ATgFZW+fmG6B2mVr5zMVxRJtgw2iOYXgVSbiwCr00ZObY0Ls+oZsiHKmPpInCsKUNwZprn0o2WZ5bqwdi2UqeLcdgjkZMKl5awQJ1RINC4JU7XMZWaB4IgInfG3sCNpfxiFOf3mzS0ejhXx2ASx2mXu0byqiSBQOVmyCa3FpGMyaMJ8UIiz88iusbtJGPTLPCmjPWZlBjuHvm+6dH5F0iouDbW/zFHmdG813LID5zY/dSC02KgJQ7Vouh64vq7hgTovJC4AFRar80Wnjt5dN5SwTgAcBbTO3XUdQq/EgLm1s+rawmWHu/tbeVeGYaayjrrgHVIjwZj5zHsnupeOSBz6GcDGrNfhyWVeofLDYS/w3rfffIObN4UMcPvmDY4VnovLIlqRjqDWVyKk8V7yMI8Htfbe7kF1bnN3E0J95lkGhjrRbTcOl6m8d+48DnUNzjljqiK3DsAVa8zus36UfjRhEceMBCdLrOdZROwjJ4E1LevWuQIHAwD3AUtzheLmHmIQLpnTdT7MiZGa2DIyZJXNQNNo9C6DqDGqGZsV1v6r03tv0LbPtnJ9dqbMwb7vhC3ozhy2dXD5M0K4aLHhelwIFVcHb04ZdzfFPMrMeLhRduI0KcQZp0kryEX0uXT8yAu62uibzQaDQK0RS/V/y5kF9gGAyxdqgr2+upbNYn++E4gzMcCtM7oOLjVWX0Co32aiSoUu6vo3bi/lSGbySIYpuoKBsl7bALVlIdcNWltMHTlcXxWz8n/25ddy/y8//1wgzt/9/mc4qxDE1eU55roJOI4zXt+WQTQvC97U677r4JpUgXOYG/TMLIraAHB/fyf13/e9tHfXdVJ/Z+dnOD8vKtCcMtioMnsTWWFrArLP8yJt0SBioHRkmeNXe9pHsJvQtexSw7BCghsDCf3w4x3SUuUm9pMsMJsuo6uim84Z+YHgYQdpqn49DMI0mXJMupFajFJ+tP5Q0M1QUemvdZIWwNDgh9YeAHoyVDev0GCRQKgLgVPoohsGbM/O6j1R2n9JEXPWyc6TUeI2orXOLnpGfLctw/J/El9xLQjdUsqMQ920TkvEV290XL+4UBhnu/FS1+SzMHyPvMihKM0ZuVLhO09YDqWPHRDwdSh9fQHh590VAODvmHwQnMC/nBS2LX4uDaZVt4rMpPezditmlHh+NeWgm6eJNb7lwhlNYMf6UKakiu/jPGJflfaXZZJr5wibjRGK9uqKYXVGlzmZDZrS/+0G7TgueKiwHYOByl4lR9i1+K68lgJ//eZORMb/+pdf4q4+f/3xFXaXu5qPHi4ozC8i/zmLDE/ZLmvZl6QHmXma0fpR2AB9ZbnGea6bG+C47DFXKCzNUcReg+vw7PxKvj1lzUc2VMpl1rne+w6hnVeSh08tbnCErxvNziV0XSn35ozw/R9WlX5H+GrQsREfdDxc7M7hK3R+ux3h/Fy/18vGb7PZ4nx7XttjxF119yFHCIMKEh+O9/Le6+WZjA3v1KewD52sheR0hxd8gKt5TJkxVykJH7wwywnAmURsWRtK2t+vX73GvkYG+Is//3O8/OrLUmdGmoQzo2+nWGbMczl0MYBpVn/v48MHeuj78hVcdWnpHh7Q1Tnl/HyArxvIxXnEXTWMJJaIEjFG3DdXIWaQidpzvb1XRup8lA1anPWAFTOJn+mcFqQ63yYiRDEqOPQXZQ7JXcAcFQYNyyK1Vdbwkq8EKMS5sIzNKSeMdVyyyxLc3jtnfKIZz4b33nIBOEGcp3RKp3RKp3RKp3RKv3HpvbdzyVhBpjSLMCv7BKrsmoiE3HR5eodQd8ndEOA3RqeoOQbnjH5RraHNxRZisZgnhbwoafiQQGCnVo0GOy1EwtyMMSFWSx4zi1ZaYfglOZmSgYpKaI12SlLvZ++cOLMiE6ZD3cn3Hi6q7pALRs/NXKeF7IFSEjknECcRi5MmzMmmnNKzXLc6sKFUjuMkjo6LDSfknVjWhr4Tpqf3TuGSrPpoznmBRRjA0ZxYDodRWH0pZw0tlTNCPZX2wyBQSpojpmOLt8rwTUzTUbEM1DTN6iSeLGuGbUigd8XfNHWJx1VsbT76r6EL4txPfRaNMgoJ7BpsR+rJ7ANydfBkkDjqMhMmNiQUo0vlfJD8elYYyQFy6nPOSx2yJ3uwVcsajMWQaBXPNGcS60cyIbZWtfaIYdsgVQfCEq11zJzRVhWpVszMDcYqVibRls3ZQAckgqYxZ9HbWnKGajgTIieBrbIRtPWONTYj1KrMkaVKciZxTI/eY+qrBY087rZKYtLCGZs1O9hYu1rpZrzZ8tMKWV95JzjTrom1nmJOUrcxRWG0Z2hbLnHGVC0dcZkLWx3FghZjQykIoKSeEcaClrPGKOas1jROSVix+8MB9w+VzUsE14SvndM+DC7O7TXvx+OEpTnOz1GurTWbYV0PtI3oUaim9WjU/sXtQVSNrQpbBefkNgJryLAQ0FWxUu+DOFuzaafSZjrHpqyxgmNaxAzqIivx2rgbOHIyX3vvFMJ19ChqmBK5lnkWxp73XlQMrD6dDanWdR5Ds2IRhNhGvO5X5ZXaAVtdh6BzCnllprrOybqxpIQkDEgDOQOy/q3nSDIWZUaug3caJxwqczanRfREOatDfQmLpIzt1IgYjsBpEe1BMm48JQZmvS97UIWbOTqkY3NlYvDUJhcGTW3sMjCZ9XHQsoSuR65tTJHBTc8yQOKCkjMS0ETCZHYhAE2AP3hEM5N6BqybjcyFxNJmRUhZ6zAZqy43NywHxCZATAA6O9n/6vTeG7QjK5vmdv9Grv3ihbXTdQNCNVeGTYfL56VT9n2H83NVS2+BXzkzzsbKlGHG7loZLd9+/pVsRO5e3yAuykRplb0c9uCHCuO5gGOFSHMGjHi2LLIAcD6PulByhq8zwzQehfGVmYWZN/QDLjaFcZLmI77+68LC8LsOF8Pzmndge3Uh5eCogyO+Oa58otqs60jjP87zLJOwg0NotHrOurkBCe6/GNmQv/78SxH7/fTFC5lULs932J5va9kmCZgbY5bJd5ojvvy6tKVzDjMU/miyHADw6pvX0ha7i11hzALYbAZ01ewdM4SJdXd7j6+/rMrizAhN2ds7/OAzXUgfDpOygZ1Cz9GUbzV/rfo2re6xHjUa71PhTgC4fHYJrj4xaYgyh+U86sbIeaDWZ/YduMJoER77Go0hZcabg8J2w6AMI3j1I5pjlEmQSDdoIXhRvs/G94pzBjeWK/NqEpxZK2BkLVeOWWC5mZMwFZODKKRPnIBZN8z9rBvYrcR/VMFOAEhH9aVD0rplYll4MjFSmxwTIVRT/pIzbhrFPSUsvU4zD8tR4MFnPoiPYIDKM9wdEqYWgYEdulq+bkc41inrPuzw9cc/LvXhBvx/Pv63AQD/1j/932pbcIBEoE4bAHUyttCzs650preZSRlYw4wZymIfo4qW3h+O8j2PTjZDNubIw/09vn1VxsYyz7h9U+cT77Hdat/xXt/LdhXnKD0/LrMs0Pd3D9jXMfvq9Wv81c//urwneFxUuCsEj6GyBpkZtwZ6/sUvXgqL7dXrvbA4zz/I2NYNdUoQMe+YGUs74OQoTHnktFpUXNAD2bKoP9rxuEeo7Tp0UYKf+wDsamza3p3hom7Cc2aJD5o5Y6IKsa3m1srqaz8ek8RGPd97bJa6QRgzfG5RNnqcPStzd9j2CF31vXMOfdcOEsB8VKj2ze1B2mDz7BpndYM2HyeRvBk2HS4uS13vcoeL6iK0xIi7JrvAGUnPwSDiVZu3cXJxdgE5dHplpqZjAo91U3484M1yW+q8HCfRKmhusZ3tZtnMpXGMmKvP4Tdffo2//tlflfLMo7RZEcJtvrK8kq7aDk02hPDf+50fSf48R/ja9/Pcgat7iR8uEHypj/HNgvlV3UDOC3DUb3RtE8cZedEDcQ5nus59dl10kgDwuJfTzAELlnrovu/KfAgAKXikXZmv3eUO/keflHoFsDcbNLcoU9sGgJ+RJTrJtCTZoE1xwdTkdkAleDrqpr3TTf/u+SV+nXSCOP+m6buNOqd0Sqd0Sqd0Sqd0Sn/j9N4WtJUukvkvDILHYIHCSjzG8rtlrRFB7LrMjGQc4uH1GeqCxJlzXZCdpDNOvc5nhVSJ1PRvTrgAiVYXUTNbtu9ndbh9XFqzAVshUCZskfy7wW1JP6T/KFCmgVPcO3SOyO6ZSb/nIEwnm3JmpCacZ0K8sFOLjfdeTpKci6WlFUHhCwOpyT+a6yfSY6DIPtosbgWNUFhEylOrRczI9LiHPQXcPbabPZ1WKmqkDC/yQS1agcQy5KgX1i55X6xoAMh3YAl/5VanddtvHufEHuot2UEgBV6HrVELi0JItCp1g4fqNds61edXtWZYekxazyB1YCeoRaTki8x1VvKK6RfrOJuuMD9RLMLN0JZZ2ZnkCF7iZBKcic1Y5g4DI1i4oIXIIohTLhspXSZCrGMlkUcUKHrdGo//lg9LZZpKe4xxvquP2XxDb0sriDMZKFmtpBb6jDGKlQ3GFaN8wkLd+pFS3+U6pSjPWHbovCxqhXYQ6IXYrb6Rs7J2LVxjq2QNuxl3A7Z9VfsX8aMat6YaA9tpuWDm6tqfW5xZOLnODPM7r4K6OhOrtDPQvmcW8oJjMqxTE0+WnK4Pzmtfc2aMMxdnb+OSohCprjXOOaC63zjDcCbS8ITeOwnB5tjqtK3rodVFed7UlZkBHZHAic45DcFGtGob29Xl3Y+uRYg1Z+mTKaXVte07ba2lploAgHgdsdg5XauZs1h7U0xAY+oa/Uu2D3OBPFtq8wGIkLNZR9mLu1VOTmD+nHUNYl69dgXTt/nPrcqx2uFAM1dqdB26Tu/N9rqNVyiz2/GaPPQ+6b03aLPXiXw0Piy9VybflBeBaMhskmiecJcVMgtKBtFgxgA2H11oHK/rz+T37nYvGDmOC1BFZOOrB+TXxfQ8Hyccq0qv8x12F9flfiKEs8ouZNaYcQDm8YhQaT600wgFMSYxlQYibCut+pgmHCr1F8GJ+CQA9BuFDua9mmPDMUvbBh/ETyE4L0r6cV7QtzrNLAtgiosojTOzQBjNpAwAr272Mtn87KuXeFXv+eyzT3BVTfeffDCJv9Xrmwf89RfflvczYUl1gBuZUmaWzXH5N03OTDZ9H7CpwpebrsO2bmYeEuP4oMHqh675eDDGsfo0oDRl26Se9UYJnZU18/QCu070+B5SPxu3fSY/9x//PowKpj6XTZRjCuV/KPu3pUGJ8wx+86ZcZ0Y2zM1ot41B+0TOWQbqEqNMGC6qmCdRhvdtBs1w3CDt4jLQ6ooZsjsdxxHNB22OyihMyOBa17H3SNsKEeSsAbpzFj9FZlamFAAMyhx8cziYxVhHqYskUGiXO3Rcx48jdV1wDnyh7go/+Ogn8r3p61utq/1eJqx51Da/vc14qNDP+dkGF42ZSjscKxR2223xV7sS3WTyG3x5+f36bS1OxgKGujfoIcqZ67WX1Oq6ucDoo/WapZ6SOTB+/s0rdL7Ahq8296K23nmHvtbN7c0NvvzicwDAMi+4r0rtIQS5v32uvbf4Q7Vrhfr3xweBoD7//Et88eVXpT6WGQ9jDVLd94iVOe1nh4tvi4QCM+Nwq24rb+4i5ub6QAGpCgVzR2jhA5nUVyll1g25YXFSzhjMeAh8LtfHWdngmXRDEbzHtvpovXm4x+2hzNFD6JGGeuDkSloFwJyA6Ubq6cPz51I/H5/pGnLY34ky/e5uQV/9m3bDBXZnBWpyoUc/VPebTUCqTPkIxjwfpK4+uNJIAm++vZVNxW63RV/95HinfrS7zSAsf+ecCNgyM675ea3DhDe3b2qh1gfe48NB3tUPqpRAROtDfO3evnOK5nPCGNWf2LkW/cEkI9exRBVpff36Nb76qvajaRR5ELuxLpIwnVznuo45l5E6EnXu8+uNuLfcff4lphrM/fjqDWJj1MYFTmKkMlysLjMx4fjQoutk3B91ixX7rbTx7vojuOpms//mSxG3nd4ckeoYOE5J8pjg0AQK0hhxc6MSIeFKDx8XzmyFzfJSouq0ektYaj84xgWHFhEGQIS217G5AjiHxagVvE86QZyndEqndEqndEqndEq/Yen9Ic5Hpjn7pzUZWihFUFADdyrMWG56+73GBC5XaiOxJl5rEl7//o5CCBxrzezGFGw+rPl4mkW4Cpvxzg9ibZ/Go/K943p9/5M/P52syZWfzjfwyLxtbL9v1b0x2T5lIrbpO6r8rTw+9Y1VX+Cnv/E47zZ/7UPfAUxhpThKBpt/F1hr73kk7PnOdnyU16cgIbGIYT0eCKvqWLf9o39c98/1Nx8X430T2368glXWY/FXJnr6WjwB3sPKv+oLtvc9Ve+mg343xGkqd/X7+1cW4VE9PcrzGvKw7h46LhV64Sd/BwrbtuXdkVv1kfZ5zlnftZqnSG5azZHvgNBafp/sR0+U8Vff9PTP9BZw//QzT80DBf5qVs/VbL+28K++h0cSib963vquef9XrgOmHKu10JbjXc/SOq8rsP3xJ37lQvCu/vy47d61Fr3j6afmLKJ1v8O6rO+c039NqO9dmVmVdDXv0Lo/S57W7Srwqnt7L2B6wnfMO0/VofZzMnM1fcea/K70/ixO4xMRswp4Pny7F1+V4h3R4K8O/dCYOYRhMDIUFdLJnPAwKjvGmwlquzmXoZd3W/EXOrvYYKgQFF0c4a6KGXN/e49XvsYK63pcPn9R88R4YI0kMJsYncf5IEF6Ly+vECr2+nD3BodqZl8OByxThQK6BbsaXHy42OLymZq9Z4OXXz57JtfLROI7kZYkFN15VBkRC2siZVD1I8splyisKJN8rsG+BsOMItbO88uvvkUX3pQ66Htpi8jAtsVpmxhMN+VTYMxN5T9lfF2DqANAjlpPKUB662FUqPrqbIddNd1fb3b43nmFDQ4TXm/6lkFQU+p2DESlLU1mZ+VZ/UJiUlj4fRZzm7LdbBEBm2cy4DYfbc2NGtTccTID3km/SzmLeOF02AOvb2uWMrKJMXhvolbMpg/P87SKp9euO+9FAbyw8qpbABF6iZhNkAAFzBhHheaXrIrlC3UCebCHzOa8GyB6GEuueDLqyqGq3L4xBwmIG2WjxqiLP3EUXzO/6UHVpcFtBvhNG+MOvm8xKYFUI4R4IuROp5mL7lqu3edZ6JHzYUKu/f5hWvB6v8g3tg26oQVIpR54HpD3lSUZIiQQnkkZ6r/ISDDOc2hLOXkSaMg5EqX2wrp9248SWENMnQlkfvtwL0j5t9+8ljnrYrvBeWUmfvPyJf7iz/6s5ClnKbN3DvuHNheqL69koBYvZWUGH457zAbKauP97NklfveT3yrvDUEEpIkBP2d55/7uWxlf48wC/WQjQ0KeNPQqZ/GDzaYenNkyuUegzJa0fi5efCjXLmbx9ekRhGaXRsZ8X6MuIGFPZb7YhA6fPSvQYIDHj4YPSv4I+Gw4lzFu3U6+uBkx1qF5v99jrNI/1xdX+OCjyswHI9Z2Hn3GF3WcZTBuTbSQ4J1slMh5aYPe9RgqBrxgEkHiZUl44FnqJNSoCcF7XGwLpMqOcXX+XL5RxF/LezfGjYVITyDHwxHL0qQvVG4n+gzX5tyc4Y4aPUKDsJs+ZTYKiSNiZX0mtschBxkc1bOqvJ7EJyzljOb95ADMo8qkHL/dIzTY7+Ub8H110cEZWjxu1zlQY7R7QqyC4VgYvi67zgF1aikRVsZR5rkNNnA1Pjad/RBpW56f7v9CWJWH5PBQ87vEBcdDhc33R6S6znddwPC3f1zeA+CDTrfPy6TuFzFqxBueMhpZNsck6/wCYJTzPsEFdVVYHrRPvU/69WRtV+nXPaI/3pe+nZgNzRiPTg5PnAStnxuszxuZe+yLfsXu9fEJ86lHnvreKt/mutz19HvXH/muf6C3rlfvYzble/cn5JnVEfzpLDy5y5d2WavHa50/3Rbm0beTLd76j79BespsU99pBovctapD1Tyix+fzlVXp18vf3+yM+EQf/LUet+Pnibyv+qfWOT++b/XM+venxpn9Heb3VT5qX7Vt8F0WHv2HdxXWFOPX7TvaVR8VWeuGVn3+0ft/Rb6ZdZw8thysrEKmCCvr9ztavWzyWa7VMkDrMjnrs/REmZi/u2O9x/hd27GeGn9v182q7zz1/HfNYWZcO/NeqzFIj66dea+pHnOPGQ/mnW/X/3p+enoNer9e+O51w77Bvonf0cfWt79rLL1rXL07r28/y/w+8/NTdfb09VNrCPjx3FJ/ZrzVB1dtaQ7k6/t+xXquQ+lpFORvvG7/S7ofJx+0UzqlUzqlUzqlUzql37j0/j5oRuy1CwoVzQePJiGes0JTSw4SCwvIIpTqCOgHo7hs4LrARuTzmIBqLvaLUmmH3Ra7ror+dYRYY8Ml7zE2QVSOyHONfeYdtp9cy3v7XhWhMzSI8bjfY6n28E1wGC6KGfp2HnF3X/LebQMuq9BcOBsw9H0tN+N4p6ZLu0t3fVC5aMOmy0TC8MsMUUB2rMGs4bzUDzMDsZqCjdrGJvRy6uj7rUQM+PbbW9zfV0VoFLYZANw9HMQMn8BoMBgT41jLTwTstp0cQPrtRq4fbm5FXfr68hzf/7gIz/7wk0/wo4+/BwB4drbDWYW0lzjj7v4bKYPIgACYjD/AvKyVr0X9OpsIA1rsagF4+0iy+oVJyl3epTIbzu2kTI6yykUYn5aEjFzhwOxn5Aa5Axr5AcDnlRkHlLin1hLSchS8xp0M3qELzcLB8KTlezgoBJySyftsmIdOYZxh2wkjNCUSiG3YnWO4rJBzyvBzhV6OR7z+689rHTg8EwFpQnd9IfX3/GrQusqL1LX3XmDAgsyre8PSHs4ZyTC9Z66BogEMbpByOOdh9Djke9FnzL710RlIZfzl44TpZenTaUjoXWGbcdiBz26kDlty5KXNQFiN+4ZNOHIaW5RIZBIYjMW0sUUcBzP/WbjTey9RTmLU+H9Mg0i3hGGLs8urWk0Zi4nYcW/cL8ZFf3edtn3ovZzsN8+f4ayO9+12h22FzlwX0G0aI5QlwoN3DtfXl+1nPLxWEe15eYmxqns7BIT6DccKPxJ7tFiTxIQWIoLYiysG8vrMv9HpHSEoS3i76eFrmbrcIXBlH3NAqnOeJ6CrbTYw4ap2sOAcPrl4Vl5KwItB56rOROa4+P7H4lZw+OCZ1HX/7BrDswL77nPCt02MNU346uamVjrBXyqrlksHAgAscxYJiPkwgSq83nmPoY7NlBixhb3wBLSg3MlhmhRmDkHbqfQx69tR4brlqJFcCMhNtcZUde97nFcWMOesAedTxuvXhbXPB12j+n6j6wYR+mYtyozYokgsGXFWf0mViGDEOp8457Dzpd9474C9Kj9/++UIqmvF/V1GrJ/vegdfYb+OHfraZ7zzMi/mgRDOKvzLjGeH21ZLOLy+kTn21Zd/KsLiaXcBri5LU0hIFfKdtxsctlWCBoSx7UsMOxqug9sUlyUiIA9BDGi3aRL4cloMkxmQ9XxOhKX2g4WB2TjwUlSh2uVoWPPvkd4f4nwEfdAjI6Ne18SQyZcB2aRkt15XH0MHqptiTKorCINEqoKMHdTK7RTrvUHSbUBoo5a+guRzlsmVQKpPsy62PO8s9d14d74NDz4yu67/kDzqC8w9xuT79rP62xpaVP+ptslJUF8F64i8yoLJR6t6pfavYZKWHDkE3yQ0vPjwdSGg7xsNO6sGG7PqM3H5j7b3qtj/FVPrd2uzPNt/M/VW4IXH7sX1CVO37zJ522D3KSXTv02/IFaNpZWzqGqGrZ3GTRgYxmrQcF7Db0+NPyInsjEOhDpvIbpHciq1nzPW7ezNfZQyGkWCnGo3sTmQva2T+MTvrV9JJr+jfz9V1cwif8M5raQdtLIezSdPttlqAnqMl7x1y5OI/1MwED0BhT66p2hiiVOX1L/95HoxrPe19dPAe7aNfQgIbcx5r3NeZtiJrkn7tD7/dJd+NKe0g8Hq+vHcTU9crdQcVpC4I5LQTQ4erm7Q3KrfclNsgM8K9zjWcrR36Xu1G3XeS53GoOGFuuBVtgJZDhzIRqcqF/9JSY/m5dXv9kBe70l53Wme7Bdmfv3M0ygAAQAASURBVGe5bvdlPDUIylL49u9kQktlgmitrR/WPJGZewlrmPGJ2x8dfO09Bq5sa34L5ZZYtOfMObtW2VN9R9cvAol/OOcsUl7lYG5U/nNEY1cUeaba70uh5LqF12ImcBtzdv4hWo1F25GYSJ7PpNpzthxs9igrePxRff66a9sJ4jylUzqlUzqlUzqlU/oNS+/P4twray3PUbaChCC7daJ1YN24qCkXcmIBji12KEEsLQDQ+aCmavJyUHAzCSMqRNHBK9DOru6Yjwp3ht7DX5T3+j7g2Q+va6YYi1cr1/jtIorIy+FelMlDR4XdBSBORyyVuei3OxCKGTSngP1DZZHljONNgyQYo2H1JWOJCDuFRjZnelripCbzgr6oJc9Sr3fVnOr/6L+U3/qul1Pb5bMrDJX9s0xHHKo59dnVJZ5VocXnz6/w0ScFlkwpYy+Cqww2gbp3mx72ZNOuH55dCXz1u7/9U3z2vQJr/uizz/Cjz4q48Dge8KO7cr3MR7z6usQFjDHiT/7sZ+VrDNy9Gg3s9PTx4tEBVRI9/t1QpJvYKwMSPw4oCuvte8N2a6ypvsC9AIpafT0FE2Gp74o1wl35CK1O17d7ZbY+PIxyCr/cbhGaxQIsAc9TInELcI7AoeWDwEZKYOgNPsR6It5ud2rp6s5A9RuHacJSYyjOyyJCjY4yfIWylzxhofZtZwIEA9P8oBaHXoN1d4OT03ZKCZFbORjJ9lXS06uosBPQcZtmSBhXAHAYZ4lbezwqi5MZYpkNYPjKWiNHSIcK8y9H4JsC1ZLfYNP/8/LsyiruJL6utUISZekHnDNS1H7+LqtQcFoGJO17jf1W6lkjgiSOWCq8c3N3i8NdZQfmjGfX1zUfVAI219TEP4HiGqAvNlkKapEPQxCrSaFa6sl+MREimqM8wYnIODOQjYWJQg+qUKZLEJcSnzxcFRWl7KUfUia43KxWjL7FoDUCtADw4oVhus9BKs7NCosO3bZC38Clc8i7CtXNE7jGrdwwY1PnKu8Y09hiMxeYsn3x2aW6fOzOOhHVfrZ9Bmosu36Lpa47UyKJ2ZhCD7dspc6tWw+RttPQ79bB4WPLixNLroPOEZwZx8ped46QJFYzSyxNoMWoLs9M0yz9dcnaX49TxNICeJL8B26ZcZyP9WdCMIjA5WWBc//oD/+RliF0Uk+f/9XPcDiUZ6fjCO33JhqJGq/L94wZvAUrBzFej7PUeec2aJA4f++HEv1hYh1lwzhhqPPUEDqcV3h7Sgl/eShuSilnfH13K/X9vezl+fDyleQphTdolOMILwHt8zCAK7QfM+MQpVRihQ9dwM3coiMUN53Wje/PLgRiPnIn7ZfCglyfuR+PIg49xYx9XXcIBF9dB4gI/eHXs6G99wbNhl2Ii153HoYxpKb4BGPTrFkFqplv9bMN/WLDZhgI0RhEHddwM+2dslsjYwNvfhuACw7dVlWc2VD+JywQWC9HtBdk7ySQOeekIaQyQz2UlGqck+LSzIxogqWz8RmxoS8cOYFqc8xK3U1Y+Rb4tugxo02nztSZIycDIoQOXQ1YvsyjTCLeOaFt+8Dwffk9pgzXaXBamA3adtCJrvTNWs/LIhu0890OZ1Xl/ez8DGd1IugGj64r35jHHnkqg2OeZwx1YrThhgC8vQl7gln1Xfc/uaxWc3hLyfoUWZM0KQRRDP9OrtWETas8WegsmplriUlhygydyTK0f+aVspdAAmtIgRTGYVS/jtrOPghM5lyQDRrxIn5BRVerhf3KQKWvJ2SFVFewJJf6af9G2czTJOXgrIewzHkFWzjotS2gSC/UOpfNXmYZWymllaZX69MEiBxDcf6r1zEDVeUcHvBTkyF53BPehm5Wd1ncgRk2lsCanWegSNaukDnrps5+zjAxY4wSXNo5J2OUHKEbdBPeD+pv2mX1x2WwZtjrN3znJXpDShqaK2UT6N5AcwytPmZ+pHtnQh4ZH9c1rGnHhtYJsSv+hABAeVVv9gCeEgF27pa50AucFbhD35Tvc0YSKY+MFnDDZR3WjBIW7ClPhBJWqUa9cIRQ6+ToA7i5qjDJNTOVUG+SvbXCmsKoHtTcYR5D0bLjtWGO1pp42VvtOhOxxSnknJO6O1i0NGcNyVXKqnMNo8nCELzI+BQJCQB4uL2V9yw+SHnGwxFz9c/LKb3jkPIdM66ZT5acZbwzOVCDsTcbqRuOKmvkpwXVroLMBFdlPTJnHOqBLeaEm1kPQh/afcI8Ktw5J+3r/QZoUV0cAV3zAczITX6Iubm5g5yD2bchmsNWDB5cF+UlBHk+LlkO1MviMNe9yJwZM2Sgtam3ZOWxi9GvSCeI85RO6ZRO6ZRO6ZRO6TcsvX8szslAIaOaX2cfBdoIIahzqg1+7aCxB51D2FQmkCNszotJmUC4uNrICeLifKfOsOdZYD93D8wVcnQ9sDkr4ppznLC7KhYc3wWEXTmFuc6r+B0zJuju/c3dG7F80QI93VGR3AWAh4dbPDyU+HrLltHlq/JeBoZ2cnAE9HrK9F5Pv94H2dV7S64wkAtTc3CsPxstmGYhLMSFdkLStiCnp+vMWQIjc1a47PLiAp997+P6LRLYJ6aM+0NjjnE52dTUmb175zdySplejGKJ+uiDF9hVOGJ3eYZdNSPzfcbtQ7HMZUrYbUtbhOCw3bT4koycb9+ypJVyGwd+E7yXiFbwiaZHqkVVHJGYEaejHP5sIGfHGY7V6qnJicn+u5w6V9YVY6XrOi/vC51DqO0XjA0m+B6hsr1KIPsg17udisXa4MSvXn4t/aXLWerB9UlOqbQkEXtOaULMFfLw3MKLIi9x5bCezTdKocv/LfMsAb7D0KOd5YIPoDrGAzGS0bGkesrMDBE9BWgNo1prI0j6ena+BkEuELUXqIjFStB1HrsqrDuCcDnVcel6PHvzCzxOlmiRoeKvzlhMXYac7MlYdQgOrsGaBHi2U6WDHpDzqvcpYUBeVYKXH5Zahg7bZhVyDtQ12BWYLPPVsDtXoRd7ZdGSd+KEnaIVkWWx6jpyAqNmAA+VKcrM+Pb2VvpqNLE1WUMRV3SgIQVqufIUEJolEAs6aH5Xg8YYDHrfi8U1bPrCBAXgXRBLdQgdNs1yFBMilXESOGKZW5kYD8ej1Nt518k3fRcE/VhixFIL5UMnbD92JNaSSA6xOqBn467DAMZZyzRsNMKo985YfmeZbxAyYhWkpS6AqmhuihHHCs86IuSkfckbAXfvvfSfZVFBVBhiG3Gn5BhiNBY+ObXeOWNZIyL0tXw//+XP9T2Gmf3q4Yi5zgOHeRRmNsiCndDGN+Q8kI5vR4T9eC8Iz9nQi4VxE4JYxef9HrFCgO7oxDIa44LDvljCvzkc8A9+/pfl98z4vLqROBDogxeSr9/ZBXR2SWis3XnCvrpGvHw44PN9oZDuOeN1Uktjs/Z57zD+qZb7y693rdQY8yRdOiddFOKcJNj6YRxxGEt/SSmJewMyZF0lIgw6Mb5X+jUgTr2OBsZJhlFGTn23sjHLE5FQb+EdvDD8SMz6ALDZKqx2cblT/wqkFv8ax8MeSyqN632Hri7+/XZAXzcLLnj4vm4CgxP3Hc5AMovpcToiNbn2MYvwes5RfGgO4wOmGkkgLFssTcoDWajJmRjUAkWzwpI1A2aDpv4ZOSkEnOgRY0c6P6Q+AVZF4kd7FCHgGPi4LW8AsBkGXD+r9HqnE/YSE4aNBmNH26Bx9UOp7990O9mEL3GWBel8txMIo98M6M82tV6DSAwAjKG1BTL6ep1zCW1joT4plmG6MSsMBjIMHKw3SZpYNkzMjBwX828WNs8SHn7FmFvFhoHkii1+hfVG0ebCm/x5R/C+bTpIZAWCC+h87avOif9OCAEXu6ua94yx+jRwZixHXSzyxut4QgC1jUQSlQjEFMviAQAZpt9FU2+kh4RWdLkvyQYt2w2hV+g1QQOKlzAiCl3GRWE10xUQDSSYoYcFhpOKdCCFs6AbFOdJ+s+QCNu6gPqcsT3eaJna52ynWjWxRq0g1jor/UNdGDwUYm7Qy+PeYfvOCjImFlg4poRZfCEJg0BUBupmPShYORqgNLVMCVlZ7IX1W5/PWcaJFbDNlBX2YcZcZYU46yYHqHAz9D7ZgFpPlXJ6LHkih65uQIghdcWcHtWRtkcZGxVypE7q1GXFbR07dHVZSi4A9fDhoX66TCwRPgAgsW5snHeyyYpxFtg82w0a1C84U3FpAYCcFarNnFcHJHtodGY94xyF1ReTlzHu2Mu+KnNGjBotRA7YBLje9letOQtxEjllmrKDk2Xb5I8N09qMSwIj1A3aTQvMDiDOB7RGvlt0c76k+BR6uU6G9U6kdo0MxrxMMndvvVcjy3YQdi7HWQwS2ZEG0UlZ1vbXxwN+9qr4l8XM+KJJQAH4nYtLee9Pd5362xm4eE4JY/374XjE7UPZ+D3kjBupZ0Lwvbw3Gr/N/WGv/qSkexnnvFkL1a3gOE6Y6hjPOYtLA+eMNGsko80KNv/V6QRxntIpndIpndIpndIp/Yal97agnZ0r9NL1bnXa09970SsxB2rAkzjtk3MIXbOgrb+RjLVjWSZhV/XwGg+OMnL1Yg2hh9tUqGjbiwUNjiQ0nwNwbHETGZhJHWgPaRaH97SfhFG2DR5dPQX0IQC+wLDdZgM0PRbnlQzADNHkBWNJRgx3Vl2sPqhjJic98cYlIi6NCaRHEiKIQF55rJ2i9KSQ8yLQ0H6/x1ShkRSjwFfLkrAsTTQzgWt9pJxXLMfmHEwAnIFItxcbORUVclE178cZx30V6puOiIsyWYdtZWIthDQ2E4jDtDRSQjHjNwtEsGZ8Y8lIxvrgnDOMYVpp/dBbto3yaznhNKhA2T/qct+e1VMVxNlWT6IrK8YjksC2P5fr3UbjZHbOWJhMrDZyJJY2Akkf5Jxx8+ZNrR+WtgQYXadlzUjiXJzyrP3Bd2IBCM6psDGrcCwnFUsmImFHEwFDUGh+YhWOdQzBChkJImWXIYf4wjHROYGbgYMg/ag8ry0VhkFgnBQW5PqyQIROLNUMqh2T4IX40PuAH16UPhYpIAe1ULVEtHIGMBMShEzhDCOXSGFNIicwdCmrWhqz6S9Wj6sYWWvbdz1CNQPO9zOWuY3ZiMO+5DV0Hr5TNKFZOsp1Z96ruk/MOiekmDRfWSEuYs0vCGKNIxQ2cvsjG0tSjFlFpE09OWPN9t4jdE2vzFhxmcRVZD0XAt7EKiXXi/W0Y7WgIStbPWRCrlB5CRLfCDAJx6QQtV/GWlcAwlbqnbwXR/+cvFiGUuiQuoK2pOwQWYlAbcx4MLr2LDt4M0MU+LHWiVOrfjRQYXBObFqBvMKPQS2/1sJPqDpeKG0+zSpUzFA3G7CT/hqoF1IQKIEapEoM37ztzSgr36iWpM+/lPcPTi1uzvdCjqFo8W0Wl5mcs7pDEIEbe9uRWGUdOfDxKBbF6fZeIHjvnDLfxxGhrnf9HDHUst2miC8rWvXNOGLfSHQOQKdI2xfTQVrmpr/AprZZt9lJX132I5b6Dd/32FZG/LwsSCII7QSKdAQ4s5cJQdejZHB654P04eO0YGmMzpQQYyMCkViXGQkJOhlOxjL+Pun9N2gXukHbJJ2UYlxkw+NCJ2bMBDMfOggESM6hM8weXecYcVnk72UepbI7DNIp2eXCSgOAzsHXDVrY9ujPtvXbjLkOlUwslcLMmKHstGOakVILhv0ArpNot91JlICuD/BD/cZmACo8yM6pyZ31nQxgycaX5LDoOOtYFuZsgq7GZRH/EQJUyBLZDEDIBG6BlmQgq4f9XjcwIKHXz0uUzWTijNQiCaSMaIJ+h0aJ5jJJt6bZbjYie+BIg2jPy4Klbsrm8SgbbCLGpm7QkgMm2VQ5LLFJkzCWZVGfMOjm1Yp5ppQkOLDdkNnN2hp4MriWgXrKN+wmy1DFFelbvcve4wCTP6xEDXe9SgkM2638W5z2spmNy6jBx0Eiv1EmPt2oH6qvBTNLuRtMrGjiotd5FhgoeC8bDB+dLFTLksV/h5P6YBa/MS12Z5hdIWlAaGJdQHPKanY3pzDOvNostDnNQu3tEZEI6Tfio7IE9RUMBLRl3VOGCkFntBf3jvCjyzre2WGbWgD49alvBecaNqllU/vmw+ccQujlPQ16LpBjC0q+jpNJTtle1q2j6zuBIh/cg4w/5oQWrD7EjM2ZwvedgSKDkdywTD8LIaZoxLVNmazzZGHnmg0BebklmXZJMYl8ALHKqhAppO2DR+iau4LXMZDIHNjzah8czAbNkbqwdNANmo1A4yOJsvxCHrnek9hhatIWYLikMhsI2garDRo52Sxm3yO3DVrUPQg7j+Yh4MHoqz9o4rxyVfHesDid9oFlmWSMZ+7kGaIE39rGA/2goqu88kNqGyBGTNYdQ79npzdPnfo4U9T1wWWE0PpYBsMq1pff9198Jb/02059GbfncLXcFKOyLVmNGWyYwY9F5L3xicvjUfr99MVLUN3UdTEJmzFkZTb2/YBNdXN6tSR8XaMdfDtOOLa+CoD61o8YX45Hmcdv+4C5jpWzq3PpnwsDqUZl8V2PXY2ycDDzVM4Js1GngIG0Q69zoYW6nU9iPLjfj5jk4KWH9q4L6Ft+OSKbtlhOLM5TOqVTOqVTOqVTOqX//07vbUHbbK3jeyfn1HnWsCSJSU4TjkgEP8mTML+Kvll9DaAsH7ICfsB4XGSH77MXM2NmoOGdGRovLzuA2umO84qd1pz3uN7X0sXzZ/JNPzJSdUT0zlgPSK0SKQIPbyp7KHh0s8II3dbCAjYMiZ63c0riPJhiFKgppSQQlHNOzdMOqgdlLGgbE+AupUXqfIkzYhWb7HyHFv9vfxjxzasCnSXOYuHLOWM2+jIdmRiPNvbq0IvlLy6TOu0bTabpeMRcxQ6JM85qXMDkPbAt1lcmB/X4Lqw6q8vU0soh14QWcsZasSYIrK+lFxHDh17BS6Otl1IxPwMVDm6sN6eOwiknce6NcRZrI+cMGxpq053JdekrzRLijZWV5CScc0KsYpNcyRJAce5O9RTNYGTWtmGvB+ls4I/MahErp+lmOc7KRiWsTr8iCGtYnERUoMxmyYATNpeDWlScMY9Y1qMD9H6iAvG0bxjHezKQIHlnhLkycrWKdB5AdYnoPanUoZIn4YiwbXH7mHBVrepHrPuRAteaVyr4Xq1nFSAmcmLJIdL2shbPavM2zv0mPJexrTlj7YWBdadlwb4yOjfbHhfPd7VsbgWrWJgxGYfxYhxT+Eq+4EwIPM4CnTFILbcE9I3MlLkIN5v3rlB+mf8MPM2q5wUk5Ga15AgvwmSMlY3AtHfXqThqyEFYv0wKGWaKWHKZh1Oeqj4lAM5gI/o8Vcs9EeFoLCr741Gs/Utm5KZTxRBrbTbzi6disQWA4EwYLkBcXgBCCApt9UMvc+68PIjly1EEowkBR+nPyBDGKoFALe6aJc8BmI04MVkdvWVUAqVxzugHjy40SF7RFmZgsQLSdZn3s1roPKl1JviIFBqESlJ/KQRZ27N3cKnB48q+JkfoqwWrjHslwll2ZchZmNkBSpjKYBybyxFn3Nb59pCzwPyM9XoUDULFww5crVXD9Qv0Ve/znAPcUNajBQFL7Wt7AvxBhcVFBw1YrS1iAQNWfcJ5i/TM0t7r0G/tP2iUWv03/HoWtPfeoF1em8V70IF2PHqZAO73C6alifApxOacQ+i1U3obD7OpsmbGYuDZ+zRquYjQkTLVGn05EpAqXBAdi7QGp4hcwxUwAeNY2UrMCEGr8sMff18GzqvosOwLNu33R3BT//UBvgZHPoyE28/va56g/hje4eMff1DLDXS7XholeoUb4jQprDkvujAnFcP13ikDlUniWxJBxGavri6lnl6//lZVjseDLDC7zTn6vtTtq5tb4Ofl9yVFzNUPrGwItNJ70uDAm06ZUXfHB2kznxXi2m0GYXHu39zi+Oa2/H6+w4sPX5TvTSN8nUzD4SCTE+USl1M0SENQnWGncT29D3LtnF/5oK2kLoTZBjkYMDO6jfqHZQMVLTGL/9U8jQJ1d95JwHlLl56PRyyVNcjMKgQJ4NnuhVyPWSfBKR3FL6tgLXVzmBfMi8LuwrjLGbGx7B7Bs8nrmJuhTKucZyh016NrbDrKQk9kIxvDrLC2IwJ3Ku/ilPCHAC9QlSdvxGbNBgi6KciUBQ5mQOqHASTjywWnExy6KIsm54hcGVzbDjirz28GwtAgKAfxlQmO8KzBRiCc1fL9mVkUCkTdFhIjpmoFU9mJCGXODq5tGni9WHcV+ixcR/2IlWKw/EV2XhnYDhLLb78/4NuXZZxcXO7w8Q+u63sdNtv2jfpQ/c446u5pXgxEbdhl3utinTghjTVYNjNm43PYbxusyNgfdL5YHZCcMvPhzNgCCws+sx7MXZ6xaTJBnFa4jOt0odvutlqns5O5l2MWzDEuE8ZURYfTAqQ2VyVwa4OcRNKAANw+3Eh+X296dcfYnMl8c2BGlHpzIm3TOcamucJlLwtzzAl8VPx/MMHF3eW5tMfd8SWWXKE0TAJxZvbILQIDO3g0X0MnmwgGwJ3GmNyPa1iy9bL9/k5cYDypn2nfXWA7nNV3JRStKCCmRaE7AkIV/h3M+/sxyvq8hC0aatqTk2g0cAQyMTBXfcQI+m6rkgIBGJwyN3tyIujbpyhQaE9BDjwT9FD1OiV8WY0pU2JsBnWr2pp6enjQoO/58jl4U9at8x/8FLvqK09nLzE9lI1Y2L5C15V7Zu/R397VesoSWQOArDMAsN1upb2jucd5ZXHe7UeIugxBIX8r+pydmUcY/tfcoJ0gzlM6pVM6pVM6pVM6pd+w9N4WNFKxIDivISnI4UnTONhoXLEySYgIbHHGVWgV+3s2jq5AMoKm7WTBzOBqccjGUb/ABc2ZHwhBT7w0q8iu7ztlFe0G+d60PygjkSDCgEvowMO2fkOtW44JWeKO0mon3vdBSRToxILmHARqypnEUdx7p5Y554QV60hNpdZy5IOXuHnbMEjtbDcbOfX3fa+WOAMZMhcrVkuB1dIROuvYzXLCtU7mWxrkpGAtXSUUUfueR2r6WOxEOLKEInoM3ZRU4L0G4WXE2nccq8OzPITaP5Jqn81iimXs93raKtawCsebkEXzrASHi90G55VsUhCImvcYBZ4lwOjTAdOoelKj0YmLcRaYo0AiLY9YQbtNSwfGybxQeI1FBkbzysa8tSdbU4kWrizhwJRJK5AxkcDsoAaHaFakfsnAlytTvnEmB6lhB2RIFATfq9aQeGQD4NmjYTfBO3Ct086LAhn6rljLACA4DxHlJa+izCDDlDJOv6u/bb6NBQ0azotWswvBECGt4XCVCixaoRtD9XUmNBeZEzVAMuZiVuakBxCNw7LEMn38bda/2dR5ZkgIoJxZXDfy6nkNT8fMqzGw5laYP5hgu1frq9nCnawwfWUY2exKypxV6PZRSC2rpbkOhGbfoPXZiAtEpa+ptp6uFRZ4Spl1HiEHZ/QO2z2OSITWPQHBK8PWO0UUSgzTOh68X7nv6KKlsC0Z1x8y4ZwIJKxPgs415XFd/7wnHctOiUvkHtePvldhOAeRyB50ft/vJ7Fej3FR1x+nYaICIIxMwFrQdHwTQYgVRIU41p6YcwTVOp8pw1GzoGUZ31NeMNXQkbdxxrGt5/A439a4qETwXbOWMw4PryUvyxwxV8thIbooMtHWkBiTMOKXZZE5jx8NatWdKxCnwODeio/r70V5QPc7WUhSqkjBOWl7EaG3rO/3SO+9QRt2OmEMG43/OCeIiCyNueAkADixMmWYwNzoxO7RXKBBiH0YpPDMo4ycedE4bD6TmJHnNGOpfmCUMnzXGIwez2rjMgHby8ZOZOzza/n0bnOtoo8RSFXt+Y9ff42XN18DAJbokCr2vj2/xvXHPyz5CB6XfYUaEyPdKZh9/YMX4j+XztTEn6NGWV6mSfx/iiSG+u5ZWLMzmz1fN5qdCaJ9dn4hk8X19XMx0XsXZBI7225xXhXqyWwsc1YxRmZGaky/4q0n35iz0r+X/V46+PnFOfpaz7uzczy7LHDNsN1it3tW3xsw1riCx7TgflQ4b56jzOVDrzDQkhhL7ezjsuBYYaQYk/h0zfOC8aiD7u6uBtZNCS9fvZYyff3yG8n77e2dDLT9/igL/DzuZUD99k8+w+/8pAR6v7g4x/c+/rC8K0WETiFgP2i7vPziC7m+Od5Le2y2ToRqg88iXJnMwmPboMDmLYYerw4yszmARMvqi04WRPIs/jQOKmjpHcENbQHz6DbNr0f9LoHifyITe9SpvyjJ141H8AohQQV7Eydz+PAY6kGGnMPF8w9gk7hHwEBbux5L9aE533hs+haUO4rfhusHdEMdc77DODc/K8bsqpClOUiSEWl1jkSR3ZEXmKgs4bI6AdTi9q5IXcpsQzl0CLRoYMZht1WR1KRi3r4bECoMk++PeJhqnR8DbmskD+89LmcDe5t4x8Gr7ExmjQuYM2S1XhKkP49TxPHYJmUSmJFRfIbLs+Ugo6ifk72z3TCVDU/5PWaWTWQy/dbxgtCUzDmuFpUEXZDGeZH+snVB2qBzAc3B4bAQcpOL8Lm0IQBQESYv38jY7pQ53ZnFdMrGt8qIuqaY4GvZN4GwqePMkfpKRe+wqfNkyhlX9Fy+sducq4tB0PE7nG3BNRqEJ4Jv0hocwVGNB3bV68xmw25Fh41uoBbjG7zdEjg3SFF9uLteXfyKOLFuyvoadJyIEHxlr36q4/Av/+kfIzVpp8GDKqyZuoCz6uM8pKSbDqwTmf+/aHAnM765eSP/djvdq2+hi9IwjqKsu/sp4VCNG2/GEb+s4skXuzP83Z/8RL5xWdeZnDP+b199KWPr5vU9jl1ZBz65P8jhc14WRDTXq3u8fPmy5OlwEOHYzJDNK9X8t/Thhx/Iu7I5KG+2OsZvbu9wd1fg0pST+iVmAlIph3eE3aav5SZc18hJ75tOEOcp/StN9KtvOaVTOqVTOqVTOqVH6f1DPVm4hY11TA/BsACkJajYGIorx27Qysy4gmuM+ZagJ1YiWl8L1YrM/e+SLa3/kdMwa9wxrxl2XZBwVOwIXMPW+M6LCZycU7O+g8BRRSMLmkdj9nbOmKq9E3iHvVpBnNOwHmRhTfNf69ifH2nVNCjZkzd1y2piZ6fwCbO5hjlBPNJ60iorJ3myeVWGZcsrA6J3Ni8LHqqz5v5wxDg1oVpGSpp3ez1OEw71JHX/8IDN7UbuaWKAyxxxPBbrQ4xRLGg5Zdzf38s39vu9vPd4PJrQHKPU4zyOYkEbx1FCLG2GXtnAVvsH635seWsW8i9snkf4FNawZjbwEJHVk1qb4Bls+q35b15hXk9icXaTXCCh2pvYEC0qa1HZy2SybpiOBlazL7badZZ5a/XiAHXaL2/VflWeUUhBxhk5M7a0j8EwNAvUl+UvmxR2Xf+mcEQGN+jLK3O1lFPnMm+EgmHgbTvXcObKsC1jtH0jRRWxLLBitU4xhEXtPeN4VGtmnrVPdUFhsRgXbaN1dQigN44LpqlpEjpQ0nI0Be/i3mAZqGswuF2nlEWPb1k8ZhO2hg1xROAhfEdiG9pK66p8+4lOBTIFbHeupvoKDer6ANK+ylAvgTJFmzEnZAcI09P2HEsSX8VPlrK0+9Yw/+qpZr0lJUSs1izzIjLla3+La4wzMLxdE9zT/VC/gxUED6sj2fcSZg1BRYfJzOkegGgQ0rplrQVNUdB1HnzXydwm1s9WH80CnRegsVeNi5NzHsNGNQmb1THX0JJi3c9ZYkMTsXYXb1w5vBdWtXPeEJug5mEz97a5TF2urA7her72juS9bVwH7yT+qfdOWa7Oapm+X3rvDVpjzQCFCdg6wH7PUISmR1OAcJ7ghTZORpTQQGnMSNXXi8EYFw0ASUOUyj7bXKKvFRw6gm/QzwDkFsuMs2EsEyA0/wL3te81KQ4AOLokHdC9uICvc+KHf/BTbD8pcN24XzAfyiS66S9wdVGCjqdpwf7VTS0sQ/QYifDp2fdl8HRBA8CXfVuFJKZZFv/C4tQJiiSuHSQGKrPs5/DNNwrbWSjSOycd+eL8TAQA80LIbVEhgksKcbKBOK2zSTY+MN7rZNOf7WRwXlxf4fK61NP28hLDWWEUHccJL3/+OQDg88+/wP/+//gfAQDmecY/+2f/Qr53d9A+tT/OMqD+k3/wD3FW/cD+4//7PxCm6DTNog49zwvGCs+llDDWzVrOGfuDir22TVwph0Lox3E2C+gki/Qvf/EDfPVFgbF//MPPcC6B3j2uLxt7lrDZqrQGSH3QdjvIjNX3DFfrnU2k6SUCVWWjKlCrxEoT+C0bWAN5GQkaZisurLIu3iX0rT+DZR8R4UQoGghw1y1yOsN3+q4ck9TPtt9JOVL2aMZ2zklWPee8+J+EwYv8C5HDMNRyAEZmA+jIm8UD4gr2/Nk58ll5/vKiw2ZTBSePk7gecLcFbwu0lZ3HPDQ4MiMZwWWtJ13MHHUAlfcfxxlL3WjcvLnB7c1dzavClQ5UfTqLAPBPf/QDee+HnzyXMixOoaj7u70sFg/7vWxmXn59h29flkPDYT9jiaVv390B//yff16fJvzxn35b881gQ2nfGNY8KMt8klJ8cmNaZHtUcoGNtL8zc+HRwtt+qzCqgTg///JrfPl1hZ6f9bh4Vurk4uIC3/vkk5Il1sgpj/16nIE4p0nHYnYkAsEwC2tKBI/qShAS3Flt45Dg7uug4YwuNh804NnzjxV+NJ+f4GV6DEsUN5klA3PtwwcPHGujz2Bhq1MG+qAuDQYtB3FAq+9Nf6HREnISv64+DOjDTuqgd80theG8QvNDp2vhQjofOtJ+1e82InPkfCeiso56WdtiTFgW9WNumwJmXSHcp9+Td15vzqWtDsdJNh29d7JZCyGIYLJzDp1h5LZ6yinh4duXUoaHb9/IPR/+7t+WjdH19z4pkXiAIgFTv/1Xf/ZXOP75z8v36A7dvtTB8+vn+Pv/7t8r780Z80PpOykl/Mf/5P8t+X19/7r4fgLwYUFFqNF158i5zNHj/ohY13B3d4/bOumMy4LDrR7m2waec8bV1bWsR69fv5bvNSFxADjfBriPngEoY7SpLAx9h8vz8m3vHM7qGgJmOLOuvk86QZyndEqndEqndEqndEq/Yem9LWhrKBKwQMvKTG7jfNRE77p+BEuuIJPvysuTzJV35JforVPdY1i1PW/hHT15rxlGSvlZFUTL0Qx6b9UXqpn67W+v8kHvLvnjctSXmnfy0/d8x3vW97O9yYAO9Kie5JZHMKqF8BqEoKGhHmvplGfeztfq+bx+/snrbE4/bPOxLt93VK000lpwcA0hvOs9T/XH+tDfID3dtx81s95F72jPx3mU8j0CkwyE/jhMkn6CVt/D05/Q+7+j3O8WGMbTv9PT7goW8ipXBuZ9Itm+kB/1Iys0u/rual5715h5egysMMN3JgurvPsb7xqj6/HEq1tsPtg03vvMD/abhMfver/nn8p76cNv1xW9YwS9R+94+y4zb5XrJ+qRta3Z1sk72kCJa7/ePCs5fEeXt2uOKcATz7814TyZ33clOx8++vjb+Xtnevf89/ge2yOfzt9jmPeJF5uyMbAS816lR/O9uC6Yfv94KL6rjR9fr+eI/OQzVtzWiquvf7eFeqI6viO99wbt9o3KFbQg5gCQlw6NVdRvNZhu33tsq3nae1+CjqOAnUGYUmu/i/vxgFaC7AYpi/eD4NMpR2ErbbY9nl1VhtLISL7S11PG/UOjuQKIKithG3hJs1SkD178BD786af46Effq/kN1aSNEoZgKdfj4YDPOw3Y68+1QVJUoce7aZQyGde06rinPcju+1rgcAKJji+YMVeq8LOdsjj3+wcp0/Rwh6VCqx9eneOqMkaGfkDfKawZo/qBWShTYRRGNuJ8x/0see27Tpky0xHjseTl7vYO335bIJpvX7/Bz/7qFwCAX/7yc/zhH/7n8u03VSQQsFKMJXB668l/9C/+SzGhc1Y2XErZyAQA1lrsDH25+ZMB62DWv/d7nwqD9euvX2KaVLC3TZRXV8/w48oe+uEPvo/PflCgLUcOGxMfMVml96BwVGeo7N6eOSjIIN/0qrbNzAKvlvIa2QsZ2YR50XIcjuqvF0MCVeb0mI4SiHkTgjJCY0ScNZi425UxE3zAT367QXeMw90b+cY+LdKvtucXAqt4r/No5iSK9d57gdedc+iNtE1WQiHOrC/XbjDyO5ciSTKcnyFUuCD2R+RQIGTX9QgVLshEiEFFfbPENzTyDejBFWLbPywCf/3ln/8cr6t7wjhOQsHvug5DhWH6rsOHV4XF55aIz3/5tZQhmv51efVMxsP9zR7zogKxLTlW5fTed9hWt4zMEYe7h1r7QLpRqDwbSLtElGirqV1usvSpEqii/O7JI7gGgxE6IxScjczJsFNGmTNLQUp6Arh/eMAcS77mvEWigiH1/WYVZLwJoxDYuuxgnrRMyJPkfTQiuSEo49wFj/Pz4krAfUL2ta7HCNxXX0EAF1QEqIkIMO4Gb27uRGZjMdLBZwgYhipA7bNk8YiEY4uXyyxxinPOiJNCjg+4lbHsO12AOzeIzAZ8lElptz3D2eai1okToWfnCH3XNjIZ+7nNh4zJxCTdGqa+Nws7mwD3OWW0aCjFrUDbs4lyMxhLneesF8Du+oUM5MFEh8kpmagqXuNhd524LZAR+s05Ic86Dl+9vpOd0f1xFNj8Y9dh16nbQ+urQ78RMeHNMODFRamzy90WqcawnOYJ//i/+H/JN3aDE0PQ519/Kfn9kz//Ba5fl/F0dnmFflP66gMGTGflvdO4CLxdBJxb3oFl0bnjv/in/0zaeJwOMs6ury5lnvvJDz/G1cVPy/e2G5xV95S+77GrY6u4cdU5IWccHkwUg/dI771BWyfG493y23+Y3SXw5DXz+nRSLp+wYKwWK72FzO9MvFrQ/kZJHifxVyRWtXRmMiI078hfOxxIFn7NLTPeVT9v//vjbL/rPU898/QD9f/fyvLTZVhZvx5b3560aD06TT/qR/J580w2R6GVblp+dCI0zz7++1318K4q0b5qT0hPt0u98cnn7TfsM3YM1H8weW0Zf/S9tz70q9vznW1u8+feUSb7vDkdrh7nd/exdV29I1/0jjp5a7y/a8zVbLxlGrB/vT1P2ZP9Oy1V7xi2zRL3VN0+YfswRXji2qINq+HzHVYV7Qxv5739vrIafVf+HuXriQngXbMXv+tZtu956qkn3vvoI9J3QE/3AzxR//R2Oz+aiB/d/44svis91ZEf5RfG5/GtNe+JvsBMpg+3f3vqvbZO3p3Wa6k+a+6wN6/mOTzRP+2ct/rd5u1xG5lCPK59LYONxrHOx7vmrNV68Ohdcs87+hebPL1veh8L9juJUeb3nPOTVrb3TScftFM6pVM6pVM6pVM6pd+w9N4WtOPhXq4XRbxA6ND2eZEdqCIpS+4wV7Zg3wfsKjTRhU6gTwA4O9dYifHVKEeJ/ZiF2XicJoEfe0cIdRfadw7PKtuLPQlt+HCc8erbyswiwlGCqzKcofsOQSMJDF0vsNOmH0SMMydCrjT1ZUkYKyQ7bAZc0wfttSJKSAR0vBF1/zll2dmPs5qSrTvbdjNgOwzyfDNiLzHirklGZMZYWY9/77/9b0gZ2EAe43gUyKjvNypIy8rk2Wy3OL9opneInEHOGQ8PD1IeCfSLIsAo34OeKIZBzfCbzQZXV1cAgNu7e9ze3gIApmnC9XX5PaWEyQTsvT8o/GuDSMyzqu5nIwAIE7QbUBq0cw79YFhLRuQxm8C63jkpS+czcgsu7LNQ/p89u8Cnn34KALh+8UJjSuaMw/FQv8GYF4WgvBlFg4lhuul6sb4ucZa8FIZzLUeGidfJSJPmF1FPa41yDgBd0HrPFKV/kWMslR7aBQi857zHpm/CsR6+Qg196PBRFeIFgPlM2WlfvH4lrgS+A5rmRt95jaVLAY0FbeFyRsZhrtAWAZtOoZd+00vHPzvfqtq6T0i1fpYQJMRd7geJPhA2A87OS99NyKAG1YMlZuA3X2hHursdkSrj+2ff3GNfMc7Dgwaf/v6nn+GDD8w4hmQbrsl7ACvI9vz8XMpw8exSTsvDbisn/GWZhdHZ9QOG2j+PY8TuttRNzhlz1ADgxwpFERGurzW+69X15bofNTbwMksM2cxZYK0+dNj2pY27rsPzKiDNDCzGX+fP//LnMpbHB3UlmMZJZEEIjK528OurF/jss8JiPzvbaHxedkZrae2v83CvwuDTcicQYOg2UqaOB/i6VlB0oLm6syxJWNs9Z9S48vDO4fnFNVpB/vqbL2UM3O4Vmj+/uBQo7jjPGCuueeG9KAxEYiytD7syZlvbHEdlnXZBy2TULbAZNtrveQFqGwybDYbGaoZGTiAwiGrdMiMIkxXwFKQDDkFjQSI7+Z2pB7doGtDIGjmnVV+QgOIEdDUf/VZZqb/46kthib+5uRNZpE0X0LVYn30nDHoCK6oErCU+BDZnbM41Is+8zNKnfvHVL9E1ZimpX+mXr1/iZtrX+0csNd/jNOLl10WtIKWIzaZBhsDFdifvvadO5u5//E/+WGMke5KGmpdF4k8zZ1BobiAePzj7oJaJ0Jn4oh8+v5CV5nuf/lT6+rNn5yKVcb4dMFS4szOxcFeRjJiRvcYR7YPO4++T/mYkgRVTlGWSzpzhmqYMG/8I42+1gnGgdF35/SnogHkNBwjKQaKdxERgY2JcP9sAtWpaNc9b86M1V3pRR9YPUsraMR0kDFOB5Kzviw2aY/Oipmw2RS3lEGezlVn4KahQgtm21zdrdk6qg+Y9VkrIbUNtywbVZck5r0JAeUOP98Y0a0MtPTZ/axlolW/7Xnv9rmRN9KXcWtR3m+JN/ZHpUxZaeCvPklu5LuG1mgK/+po8hsXW5IN3QAemTixcQI7MBMcaNHoFTRiAoEIcrSxWWozhZPy9lVr5iIz+mMmTI+kLzCoxUL5Bq55ovQdW9V7LkbN6FDIbuIHNSeSt503IGEcakB1W48wUmJw5ULDWIWPV96RuDCQeY0KMFiYp93nvMVR/n2zbNTP0WLOes8hZjSutT+81gFHOKhnkvZe5wvukUg7EsnDnR/UfzEa/73t9ZjHO9ZSRUhuXCU2XrAtBDixd6ET+hJlFaiJnrnNna4sk1ww99NkxZxceG/ponR67GBhfupzk35kz2IxxmI0+7DgTZwiWuZ6IVutGND6cidWPy8K+mQEn64CWiWndP7VPPYajLKzK6zHe5Emyrc+1i49GEtC+ZGFimatknGn0CBgIks3vBKvV9Q75BgOP2lBSlnwVYxSpn0R6eMw5ywGKwSIhAmAl79gCn8v8JVOY3pRS0vWolg8o64m2sck2G6JYyqqnWL9h3S/au+Z5gatRbnKpdADAkhY5LJVHtB7CE2shUCIA6Pjr5N/6rhMftC4Eed6ut4+hTHvt7OT9HukEcZ7SKZ3SKZ3SKZ3SKf2Gpfe2oH3wwbVcn23PjJUCYt1SYAro+oCub1aoLKZfzw6xwjiOHPpB94gfP1O48/qM5L3H+7nGAyynoLZ7H7xDV028CYwowWkZnlu8QKCHxqIbLTsKegqMOSPXOGqD76VmvANC3duHjrCpDNSUHAZ3IXUwz8pGTQZWKxbFeoLJJMKz4Cyq5RELptxOXtlYJBk7gREJ55vCVvr7f/u35f3eBGVmE6D+7v5B2Gmvb+7wurInl2XB65tbed4abEYjJBnMTj+YYMR938sp4NvXb0Tw8/zyGS6fXQEAPv/8c3z55ZcACkvu448LLBJjxMGIY+7NddepGGcJJl1KkpIKtr54cYUXzwv0c3V1JVCktQoty4I//ud/XMvE+ObrL+REfnG2lVilgT5CTlUhPapo8Pc+/gjPq/ju1fU1Li4upW4tq8taTI3hAwF6CA7GcbTrOyRufXXBhKr0DjIMLyf5qyY7fbGxIJN3cuqMph/ltEjw7WNMSGMTgXbg+u1+GHB5dVbrwOHu5o3m3cRc3Ww7hbwSwHX87o+j9O+h7yW/OWfECrEkzhgr1EpEWFp8QpBKuwOAYUdR50W4dE4JY/3GSi3fE2Ktz8SM1CBgBqjFpyR7Ulb23Pc++gBLrYNu6MRyeHl+icsKm87zrDB2ZrEqeOfw/PpS3ntxuUVr5SkeGhEM6zjDEW02vLjYCVQ0jhPOzosrQeaEeWlMcJK6JAJefPChvKsf1BVjmkeNYIJn8juR2ju70BmXCYcutBiWwBLVInV4eCF97NVwL8HW5/ENRi75ujjfouvLZPjJRy/w6cdFnNZ7oG8i4TEhNniWlclY/knZ//vxViwyu50ygzMlLA3qY43gkFNGrBAnJyHjI3iPcK5Wm9df3slQiUnhwI/ON9hWVu794Q77GtM3HQhjbbQ5EMahmc8JEvsTwPmZQoK7Qa9jVIaSg47FlA17Miccj81lhKXfe+ewqdbNzIx5MuMhqwUnJy8WbMpeyuTCACIN4i7WKmKk1hGZJGYxg3GobjJ/+wc/lvf/8Z//ubDY/+k//SPcVLHmv/u3/gCf1vn6g08+wGeflva+u7/B11//otZxxP39TS1zxqsajxIM3N1Psgbt7xdjwYa4LCVWNYVxnDBVtyHvCJ1X1ujr1+UbIMLZ5fNalYzj8hcqq+QDQC0iD6FpMm82Hl1X3rXdXWBTXawKw7IKCDsnYu5EhG3br4Dw7PxM6vb8fCf7HWvZ7ozVzHkvYsJrNEklQsBQd5b3TO8fLL1XWG232ypUZSbcmHX+DZ0Xmn9OEakG/yUm3cURi08QMwueC6w3HumQkNqgz1k2aM5AN6VhzIRtpkoHY4K1hTKbJ866BrJ53sJf5DQ6AhHLpFtM8Rq2pGDi7XmzsNp82bU3szElZwn4zMAKjuyqYvXz589X9fQU286HgMOh+Loc5wV9C4uUkvgbrKqCS+glySvUNFvCa7R/UFiqqPmX9x6PR7kep0k2rDFF8VVz3qsfwiMmnHPGdJ8tTKH7lBA6GVwXFxf48EP1n5IFc5rke9Le9TvBe3TVVL3Z9BKAOCxOoOFh0E1HF4LkN+cEMvAuDARsfVKMZb1svgQKUQAvZQMBatbLWw1cYFCR1T1sZM1TJoXVomG/piRRTLiC+6UcLH45DpBNSNnGqUq99ya8TNbcpqxwSPAaTqz4QNUwRzkJ7EREOnYBLHExvjWqvO5DEPiSUxIZBALMGDdQj/xnPV5XcBXp75uhQ0elXTe7QeRQzjZb8Y91jhGjQv7Wx7FN8CWvOkkv5pDhHQwWrGMmBAeqUQwYjM3S+pSD81pPLXoGAFycb1bQlF6rDAKRCWdD6isaQpANWqkSC2MrfLg1kjB970VDyrkMVxe9EAhDneeGvjMLWoav8i7sSKQt3mJRG+jNRj5InNB6bmIDr2bIRJyMy0ZioDlBMWW4oL6zS4oKibMekbx3sgYxQfpnTAlz7cMLEXKTUTIwaCm7gby8zrM5semHej/DwU5cLe+czcLIDgz1T1rBsRbQMoxQZjLrkZPIIda9xbpA2FTm9ZKP7bnxXTXB7u/uHnBTD+1l3q6H8a4v/pYA5vlounYSqaaYEvYHE1rvqGvLw36W8h32Grkl5iQbrBSzbCa74OFq/4opyjpFRBjOdppvsybY9ahAxuVn5wmh9pFh6HBex9YwDLioPtjOOexqEHYCsBt0/3G+Ux/AYejNGmshY7NBeweL8y23nreb6DvTCeI8pVM6pVM6pVM6pVP6DUvvbUHroKe7TXcmDoebzSDX2QRLLValep0zuNeTYtdEFB1hE8wpbqsnFnKdbDa/HjPmGo9vmRTK3HQbnO+eAQBmijhUk20XYKxsDkO/0/eaE1LMusOPy4Rm2juAsVRrUOcIoQVEhdO4X8xijmUwMmv8zIfDpI6PrCb33vdieCFmcYV2BIFJQMW0X+rAGeFTEtj2F59/IWUYp0nKMI0aU+3NzS2ONeD47f0DbqtA3vF4xE2FO1NKcg+D5bsAYbdTk/7V5YU4wp5fnIuj8FdffiWBye8e9vjjP/mz8o1xxE2NcRZCwPllaaNlUesJoTiotxO3d0EhTkT53RGLZXM87vGqxn0bj3uMRxX9ExJDjLi/r7AdM0IgOW7ttr0QLH78g5+IeO/18yuxzP3kpz/GJ59UptpmEHYa8Vr0tsV6BbCC7ZbjJP02zmqFWZCQ0OC8DApqUW4nSMcO1NizDPCi7/Wk5+NkBDjtic77TmDC3gf0Nb+JnQjrOgoFokGxTGUDnR4NhDuSxldcMqkBoFR2fS+wxGY1y4i1HAlAlADnwBQVdvS0SDm8cUaP01Ha/C5GjO20vSxINS5lFwJua38jAN7kXYIxmxiGlxcbtClu210iVwt0chHZVYjZj0jtcBwihp2xhOdWZ4RuMK4RycYvVRiHjYXPavY5NpbU3iNc7KRuXHWTKHmBlI34qJakpPXHJo4hMwl5sjDjmiN1h8W1+ncaixiaiIDvf/qh/DYMvRCAnIsSN/Pi4gKbCu+9+PAKm02zMDZXhGIFmcbGQE0rmHBJOkbZq8VoXGZQs8RSFJQjuA5dg/Ayg5rTd8p4U9eA4D1u57HWAeB3O+mrHXoI8hKAqU6sqSdhP+beIbUYuc4J455IY0YDDBjH8qxdtcR1rcmGvnaBkev3pmnEPLWyk5DnvPcIUd0YyDemJyMv6mKQjCuPI4g12zLqU5qRUhNGzsK855yR25hjljxOs77/gw+fY6ls92dXF5hrTOxxnvDt68K83ewG+CosfTw84Fhdk1IGqDLJHSXEhivyej5ZUhKr2TgvSHWuWFKsVlOAMwkingq0UMr5EPDF1y/rNwjboQo6Z8bxsJex1fdqY7q4OBfE6epyK1Dy+fkOZ2dNYNlAnOTEOgwChr6tTYWt3qq6C2o9dT6sLGj0hAXtrWTRMvevCOL0ZGj+XllFu+1OmYBl9gZQJCIEMssMBGM6blAWQSjcAHA2BAOxqFnxrnvQgbokGTfBBZEPQJwx12jn3kUDMwGboJCXAhJAmtTXKaYsvhPLNIObw4N3Yk4n5xT/Z1X8Z2ZEw4azEyqMedr7oEwknU7BSf02SsfTxa1NrsX8Xp64aZg/inm6ddaH+72hTt8K5PhwPEqw+8PxiFvjj3ZX3/WYVHl+frZiIQnU6pzAfjd3d7itpvG7+wf84pef11s8ugoTbrZbPG9QJEFFf7Fm46wgTqgluEBc5TouMw41EHqMs5jZAQOD5Szq5cxc/cOayd5jqP40H37wHGdV7fmHP/wM19Xv7PrFNS4vy6JZNuC1LWBM1QBWuiCm7tKSdIMWZ7lvRkSuM64HIXiFD5FbP8qySDLzipjl7OJvoz94LZ8nJw5x3gcE3xY6aMBsciuV+zbxMwPRBOhenLIQi7C8gRZJ66G9K7PuUzMbYItZ4C8AWDjJeGADA47zIuWaYhK172lUuDw4J9eeHHadQjYyUZvNwbbvgDpeQ78B18XwmB+wtDp0EVy1gchnNAUTCzkRkUipMANsJFZyTtL+CQqx2PHkYEK/eIewaYsbYRgU7kqsiuxLVgX+lI0EPFu2rA1r5JAbIzQDOTc/JcvO1s08AFxenuvBJinsNE57zHPZlF1eXGBT/bjOzrfo6oK9LBk1u8jMZf4EQMhg3b8gsea9eJTUQ1iOUr8ZgGuHF2995hhtPeOccUy1H8BjSi0YPIN6Pcx3NCgU6RjJ+Ce17RQHV/9GOeCoI9dqftJTc+nb6kmiPrnFEafharENZYxjxlLnJ4INDA8NRwSI7FOBO7Vt1iTup4Wii7SGRoXRjbtCqswsDFK7Lp2fnSFuKvS5GYTpu8SIffXDvHt4kMP8PI9YknlnzXdiEn/c0h/NBjKzwpopy35gjlFZlZkE6iYGltpXx3nGfTUqEIBlNGNj1oPkZtML83a77WVtOj/fSZDys91WNmhd6LBtsCaRMDIBRt+bA7FxK7Dw9oqt+Y4N2jsFr02bvm86QZyndEqndEqndEqndEq/Yem9LWjLUbd+t68Psouf9os495L69SPlJDvm4AOGrsX/8+i3ykLZmFPwWe/U6dE6+WcuDAQU2Giey+57njLmsUEhxfQKlBOHxCEEYW6Cg0ToNhvJZAxBdruD36GZLBxlhR/BwrxgZmF6ZgbmxjACBDYq+VVY03tlYO2GQSxRRUevWhuXCbEK6aUUscTKvmNgGY2ZvTIm//M//gv5bZpUqHQ8TlLnh8MRS40BNscoeY0xYVma/g0LRAUGpllPfJZsZy1d9/ujnBRubu9xPDam4GjMzj3OdoUpSN5rmZ1fBaCNUaFMkJcWT3FRdh8yfLOKcEKudZM9kNuJ2nvstg02Inz8oRH5PNc4fb/3e78txI4ffv8TbOup8aMPPsD5RXGGPdvtVOuJ9NRZYCepEKyORsbSxVFPjRQ6sQrGzCLCGEASh9TDIcgJkjFHZXe2fKAejtsXvYFXyQej3aSn6M4HjZeHLCdWThm39+VkGpzD8+5Myue7nbTB4eG1MNIi1CIUQg/nmgD1Ftta78u84FDHWYqLCFsTAdOsLM7FxIW82HaS9wUkpAbnAvrmNtEpLBZ8EAKHJ4e+a1Z9ktiT9ohaxm1zF8gCWXnnxLLm2INTsyI6tExYrS0AMmYAYJmiukZEjYtqxTud0QlzsJpyTqx8/IhAsVKyMvWUkiXNkFyTNTUbu3NmRq7ziXMeg1hpIKxIIkJv+pH3Thzkz3dbLHX+7LsgFuzSrvv6Lgbq2HCcTfzgvLL2LGZeJBMHNC4qrAtzf0LCwm0MFLJK+cODc+3PzkN90Qkwws3OqwVtSglz/caSo8TZdPAibpqZTDxYJQsBjJgM3mLaY6CN5Nm7IPN4zBrDOKeMFFt/8yKkzEyYJvVnoaAWxhgXmcu9V4s5yAnCApoFHky8CGs554wUdT1qkxURYajiqOOolqfQe7ja7198eAWq5JHxcMTD1wVOvNvf4ZdfflHznYw6AQuRLedc4m/WdJwWmaj2+1HmwmVJZu6HlI1J+3NiFmLANM149eq1lOG8UwTv+TN1C7h+oULRz55diFjsxdlO4MvNMAhxrMQFV7a01UFzJqay90HGlved5Nc5ndOL1czA485aEq1PiFSbaF6+b3rvDVqc9MV3k1Knj/0kmXSB0dx0UlJl6k2/QbioshcdoT8vFeSIsO0MlbnXSS2bgMQuVygIVV26TvjLzFha5IKFV34ywt7htQRGt1PoLhpac++D6GGmOImsAOWk8KOioEgpY5k00GrzV2FmOPPejlQ+YjeciUk1OBJa7vG4x1QbbmZCbLBAAtKsG5pm5v2jP/oX0KS74nk2C8cSZXDYiZ+gYnlLzG2OLcrZJnD9ZPzF5iVKG/ubu5WkRRt08zzLhnC73YBqR+j6XjYKyWufYGa5HwAYk07sSYNDO2QTFzXqZjkS0GAcD+xqAHDvPX784x/Ke3/yg8/kvb/zWz+WAfzJB8+xqf5ol5cXQscPQy8bo8ImbUGHIQGv8ZiNYwZdXnQnRc6hDYi0MJakC7NOUBqJgLMyvwgQc33xR9NPOtJx4n2vwZrNrjo4L/UeeUELqhxzwrQv4zd4j/isPUEYup2893j8SpiY0cwyZ7tO6qfvdzg7Ky84uqNsxBZkTOMi9Zah7TwHdV3Y7AYZAwu0nzqnwbNzVtgk+IC+TbREGNrhjiFMRTKgAOt8C0RlR4fO66ESTiBm5Axwew8hOK3/JunBzGURQnvEbEAMhBiIlJELc+CkdR7b0yufXaLiStHmwln9AZPpa5YlnE0bFd/AFsTeuFKABRosfxvfGqcSIbvtFtmw9u2cPBl2blvcyPjjAs6IIgPG/RAU1H8nsfrLesryTMoRsUJmnlQYt1RUU6J3IkvEzEDQNcSZiDBjGsEiXBrLQgIgU64RWOpQlfldoyAwZ0SzBsHp/NR3vbSh99rONLF+Lybx6XXwwrxkJjEwAJCoOMyMaHwbU1Z3mIykB720oEUiYCyy2c+IWHKbv0lcYwgszNv5Tt/fdR5cXXdefPAMXXUR+JM/+Rm++aZsjNJXWdY75xy6Xg0rXafQ/DIr3LyYBm9RIMq/aVWW/Zm6SbTxnRjiyjROE16/flPLACQTSeUHn34ibfHpJx+KCPTFxU7m9023Eag8+KBzOtFKGUEPYQwy0UKc6avOuFs5CpJ3T2Q2aDpOvmuD5n5N0PIEcZ7SKZ3SKZ3SKZ3SKf2Gpfe2oM3Tyr0esjU00dp9D7hqKl2xGhjCwuTEODwUB1jvCefbam4EkIdgGHDKVONMADerDWOssN/Dw4T+Zt9uUhMqETY17lhxjNVtbDFbV1hlVlgOQXfDBQpppzsCyelHoY5iQUvye4ot54w4qc3BIarFbl6EFcjOIbcT0pKEyZdjlhMJQMi0SB3m+u27B7VgOlJTbIwKB6WkYTrqsb1cEcHV+ihwqDGjG8d3qz8WUxKmUzKaaClpnSfjIJoZEstvnme8eVNOQsuyqDWTGX3XyUljZyybm97D17o5223FVL3bbbGrjv2b7aDO/F2H6+dXAIoF7aMqpkkAPvnwQynip598JKfd68szOW3ttluxVpENrGm1hR6dANlYTrIRH3SmDod+A98cnjuPTTXpZJrVqpQhbCpCcYCWb3s90WFZZ0BhLiffdEGdlwMZ3abMGKcGRZM4TgfncXPXYuwS2OgAzZGFsJCQTV/I8M0SCD0Jh9Cjr2y/DA23RXjkNEtOqnKMi8AsXCiNpapCp5AlkVhjvdHR8+TWFsbmqGzMxeagXEQrm7XOZ0SBgIwx1KtlshB01Ll+iToOyTiPB0+mni05iCX2qncOThjACrsCbCxwrJAfADIxg4myNLgjbYuigYj6e3t3PcE3FwFmIE/y6eCMKwYUjnKGUds51bSzcD45MlG3CKFN7z4jia81gcx4CE6tW4sRoO5CL9cb10m4IMcBjrW9xfIBwOem30eQjwPonJc+lVnXjXE5InKLf6tW75VRgxy4WcC8U61Do19V/kwGZlaLZrsXqLBmI9qwhpnzziOEBjMTYiOgEcCmz3RGd63EapZSmQEP+TbJfwrJyjXiEUieLWK2knHNcorS93ZDD66s/Q9fXEm/j0uUedzWG5n/lhBQuvbZcFLBzF/ZaltCy8Be3WkcaZztLnhst81a7vC8itgTgBfPr6TfX16cSTudbTZiHes7RW4KYaq2sQkXR8YCBkDIgABERBlYs/e98wp3WhTaTCRrPTpj8SaIoPb7pvcPlr4fzV+6SM9OTXvdUAMrozBD+ibumAjjw1zvX8BLixfp8GynEhhpUHHG6Wjo5MmBqpjgeMy4f6jU4vCAYyoF7oeAi4v6PXK4en5Z7smM433dHDLj21HZUcfDnSweKagSsCeFH30I8HUhiDFhntWXa9wrxJlk38Hi7wVU6YTaCSY3ItVBGA3EGeMi0F2cMuZDXciZNV42Q+Jjfv3tG3l/MJCRhTtN+FM4ItnwrLDynAESfE18RAqjTCfycY6GnWanN01FhK+8N2U1b+/3B3z+y19onZmA41sTvPfFi+cyuD5+8Uw2ZT/87FNcXxUY7cOPPsBHHxVG6O5sixcvrgEU4dC2WQMRtjv1O9sO6pOyDV7gDw8rMKuL7JKz1Dkhqyik3bHyuh7YBDUPBtK+PH+Grm5aLrycMXD/8AYPh5tSV0kD+TrnEAYTPLk3rCB1H0GOOuw9BYEz7KSUU5LDQExH3FdYk0FIThe6zxedfI47A3Ea38ayyNWFdY4g1/onwVd/jp48Liok6HxA8L3knc3Gg83G8X6cpF9tey/l2A1b8U3t44I5KawmcVKJsA36DeM6JKkzzODtRsfxMSfd7xq42Xu/EjmW+s4Zt5P2W096WB2GQf1xJ5XcACvE6nyHXgSaMxrHNWcV/CyxBw305c90gUcSFJ3IxPh0kI2fc6wuGikJPEeIQmwlYOXXSBylH9kIGAgJLIK2ZkPnnLiwFP+ddthMwKBzyqRTLDb9lVyPD2+kfs4vBoTKCN35Hn1zg1i0LV3wAmkTgEF2hAAWXbo2pIvmvL+VcXo73WCu9dt1nSzSMSeNKUwOVDdPLnu41DbGjL7X+XAy/miMCJU0yTLv5ZiQqp8wogZCD77DMJQ5qbidKCSYs2Ek9jp3rDaAUCHfUnj1+W6bDTgWWR22ZwDjL2ZFePM8ySb8+mKH802N3eo8Dp+UPB2Po8inzIuKkueUMc+6po5By7NSMDBliFHnkyJBU/PxiKneDs1d8Li+uqz15/Dj738i9/34B59KPZ2dqWh+CMqw9L4zY0P9oIkIzkKcdoNm2Mf15pqvR9IacohTYe/VqsiAFWARlwZeuze8TzpBnKd0Sqd0Sqd0Sqd0Sr9h6b0taGdGuHS16zQ6U92GxeHZaqtwAtJcd/Fe42157wQqIjR4otznTYyzznukeqLrux5915wvnbAniSIOBzX9erNrld0tlTOpQqcGogOEocnkBAYqOmbVMpSyfK+c8pqpVOEQYH0qIEO1ylnDKTmoWR4rZpZbOXhayMZVmDEYcV9nQmLBMLmI9JRioRQiUvjCnNqt/ppUnHmryeyqbBKCxKmlcOi7FYPmrFrKMrPEdgMI3jgif/DhR1KHH1xfiojs9z75EBc13Mjz59e4elZOVZvtRsJ0hOCx6Zv1lNC3+iGIRan8SZL9lDWcUM5ZQpbNOYszP3IuJBEUS0ITf2QwFqMZpvzTVif1cc5IVTwyA6JzRDBQqPPCEnDOiS4gEYnTPwEInTneGSfs4JVJ1AUlBiRAhHGD98apl9D6rQMpdEeEaVErQYzGMZ2ycVLPwkYdlxkPY2X1ZVZYO03CCiOIbzZAVNlp7SvZdCcPyAnb1FtKwoZz3sFlHaM2xp04nBtYZbMJ4p6w2Ti46gTMmVSW0cAU3gOdaCGtw/CkpE7NXQyS7b43cWpdMCHb9L9dR+gFjVVGJ7NDijpvmEhrCL2Orc4pLFws43UudSReCY4UfszZIzXxY+fQCXRDKwjesod81mbpu7Aqu0KcOsatVR6JwS2UVfbgqH01BxU47/xB5htHToVYnVdH+0BKFvF+PRca62Q2mTfLBnJOYvXLnAUJCGBDyFAtMvIGklrTYtdW8nchB1m1AK3eWQhB8lisN9qvZPgSrGzfGqZ+C0JtvxOU0alqAQQtB0HFvZs9Tt9fUheCrAPbzUasixfnWVwHNn2PaVPmhGVZMI6ljTNnLJOxoM2KGBXkxMA+NUVDGrQWtPKOBgU7saCFEHBVYU3vnOiYEVDnMrV6W40yS3rROJmGbWn6MAEr5vVaa87scYyV3bpEPAYy7T4DT3eXd//+jvTeG7Tf/+n35XpjYCNb0V2vG7SySFd673HCw13zm2I0KzsRAUaqIk8an3GgjXTkZ5uIbTWjHp55dF3pNIcYcaxw532aMadignWOhKHnyOGD6w9qXnk1gc/TLBP7ZGAqgkIj/SogtI4NMCF4hWf7rvm8MTaDYbIYE/YyJcTKwKGBQC2eXAI4N3i1x26rpnV1iWBwZT1eXV3LOycTC9AKkMaYhKmU0iK+DtlsSgEom2ZlF38UszQbkQCzoAXvFPM3VObt0OO6ylbsdhv8zk9+UO4PAb/7u78nr/3xj38s7f3Bhx/Ku3ZblSMZ+k6EkJ35nnNqDiei9QbGqoqa1KJDAMD+eBRz/MPDXnzjjuOEsZrvl2XBXBXVY4w47vdShze3t/KuXdCNZvaGVbscEXMTQXUqapgzdk0aIPRobjrOOezaoYazysMAeP78Shlws7Zf54NMROdnZ6L6vj8ecKwSNDsM+ABXpRwp41DZxzln3DUfNAbG/Z0uVk5XbO5Ybe3zEX3dcY03L/HqeFPKR5CIG5kjekWZ0ZNOMw46iRbWcF3c2MlBaF6OIhMxL0kEMr0PcC2wNWWBKa3P1dm5tsWnn54L1NrvevEHnLOK4tp4lkSA9+pD1BIzI7OOb2aVdSjPlTxFuzHJuqklD/EPKgu09UezcRkNnGgWmyLM0r5hxFPNNxy5IlSMMn/ZjRiRgTWhfnUWjMpmp2phHDtX2PmlHFsbwzKCYqmTFBd889W93He8/pE+H42kBQ6gtkHottgNZSPH2UGYtI7g6hhPKWKem78xYyGFhi1T9Djvpe3GPGOpvp7EAa11HGuEgkAeXRN0dq749NbKyrl9A2BTW86pm0iMScR0O9cjVKh3QC8HfpCDcS2FFYeW6N6PDsjJ1rvZjBaWaOuvXZGDqL80tLP0CePPSC3OsI7Dqzo/A8V3S1x9zEaqiBdXN4kYZY7MOUs/ZGaRZ2JmCcBe/tZ82zjPOekGzY4/773K6Hi/2pTtbJxuotVGTJjTIZhNmRcos0DzdjxYA5P+HpyFJd+9YdMdmj1s6j+Usuk4a2v7+uH3SyeI85T+1aZf88RwSqd0Sqd0Sqd0Sr+GBa0PemsXzOnOQIidZ7imNeScQFad9/I8EVYWtM6wdIIVhzMmd+8cXD2NOEdiqrXxCcmq5MKJ2ZSJVqE1LIxaQnbIVl7KR3Dmb3pkiGmmThuayJpACcSqSuQMa82ySYujebuklXnUxqtUEywLfNIZa1GxAr69C7Im1xXDxLwfgJh+mUmPYO2ZBt0YdlHfqzBj13dq6XpkQbu6KCaU3XaD8yoWG0InsDehaOkI69CE0LCnotXJBVooZnu6J2QTUia3eIwMgcoAYDoepdL3+73EEtzvD8JSHucZY72OUWMSpphwPFRH8cwrjZ9V9h5ZXuQUySTY98o0ToZxtXqTYZDSWqeKzanPeSU+kGXcPfqGnFJZ25zg1iZ+a1J5bL/XlxkAg1fl1XG2/v1RseTfyHZSm3it6/X438rD+o0SC7dBeoYJt+pH+rCzryGY+n+cIa1LZcU9siSZQjgiyZMzKIdpySe+oe/RYaz6ZvoMnv5Ggwmxhl6efJogsYgVQbf1027j1bvW9aZ1pXOnPu8ciVXHPFrzq24rzKoZZl1NwM6QDklcD8DQa2A151kWNRvC47ombL+12Vp39NX4zfrE6neYb7A2NJnvFXeKWlZirHxVpC8ZIJNoxQx/HC5o1WPe7qKrfNQRaMrRSCnveP9baYU/yqWiKGtRVq+mOyQD5xY4Vp9pKa/mgLUFLRj3J2fG7rusWe9z/Wsarb77Xe/39Lt//lcFcf53f/93zYeyGdDaKXNWgVfvnUBTxY8ryO+7swbjAAZZREfKIsv7B+kcPjlhRi5TQl9H8P2Y0E3leooZLtf3AuLbkQDc3qs5NprBvPXnwqzjbr0pU8mJLBNnUXdvFPAOl2fX8l7xPWFGtjEicSbNZZXzU0qYptZJvUgJhOCw3TQxW4/LoZmiGb0rm4XX/9rfkff/4R/+IebKMPJmQbKU4bJZ1ZhvOkGQmJSB9cbvxfVzedfv/dZvy7/97u/+jmy4Li7PJU7fZjMIK7PvPC62Gm9w12s3C2ajb6GUYDf9JXNPX9e0zBH7alqf5xmvq5RHSglff/NKyvrFF1/KM19//ZVMUg8PGrf0OI5isp+XRcQWiy+UXkcR//T40Y8UuvmDjxTyurnXQL6ZoIwh0s12CK7EiURpg3aQIRiZDTC6QXHC62dXWj9mru/7Xia4nFTV3nmSuIkUNuiqnE1MCdsquZFzhgxRZsS9wvHetE306tMC50TXNXICpyrfkVOJKVvzHgQqBCxzyXllqm29ujH0TifkZVlE5JMMS9UZ346cGDMMzFXb7OOPfyLfurq6kgNEgYkqow+MdZjrNicoq7FcPNEH5VE9OMmibGL22cR418K4nq2FMPxoC7G6DnqoeXuR1c2BxpR8+jVPfkGKaHbqtppgF6tsaofhakxk5owhaBv8+axj41l/LXXx5TffYJrLgccvAbG6qg3dDkNffVYXjU2bcyoi0PUbR8N+nUYDpR0I0ln9hUgKwXk0CiqTRwshztTBO5VkWpoiCWfMqY0HBjpd85KGEQU4yNrWe4Jr8H/cI8nYiOJuAhC6QWONImkM5+NBx59l9KZVc2ykbUMO6LmM65QXRDP+uErBZGYcY1k3tvtr887HkG1bw63lIKJRkYMDujqnExGGoQV8Z3jo2mdlQwB6ejzYzrY6vqyTjSErcUofdXnnn4Y4bZxM2M+tL9fRPx5Bn09t0ixsu3ZIM6cUJkjcV7Zxic224j3TCeI8pVM6pVM6pVM6pVP6DUunDdopndIpndIpndIpndJvWCL+bjD6lE7plE7plE7plE7plP5/nE4WtFM6pVM6pVM6pVM6pd+w9N4kgf/l/+p/Jtc+qKPv3d2dOOhmVu5ICB26roZiMe/ZbXf46U+KEykRiaYXEeFf+zv/ujj5XV+/EEbWf/yf/Kd4/fo1AODeaFYxMhrlZxqPeHi4AwBcnJ/j7/6tPwBQHPN/+dc/L/cz4+U3X0leUvFgBgC43oN8iwXYCxPp2cUzPLt4Vr5xnLC/L46tcYl4uL+v782YZtWsevGxOnR/+v3vwVdP7D/9k7/EYV/ioLx5dY/jocWH0vpJeUGqem6ffvop/oP/4N8HAAz9gH/z7/07pQ4mZRCebXaqeeS9MEtnZGHCRagqTsaaBfg3S5bb1ZxLNdZazhnJsK80aTiaR68q3pON4GBYOyseFmc5UXgGevOaJprJ0PIxMyzXMprMaPTLdTm+O7X71y7WP3RrT+pfn/Xz66V4VMbq/pevkMaqBfiXP8NUx8ny5g1S1WrLziFVDbC02WD+YdGlYwDc9NiY8ewv/1JqYfcHvwVXtYc2v/Mj+KpJ5F0QUdFkGHOZGUmpbZYQjNAEYpnxcHcrv//ZP/qHiFXv7ObNtxKe6M0xYmyC0AQh8nQOOKuNPk0zvv22kEGmecYf/pN/CgD47/xP/qfyfu9MnMwEtPab5yNydahe5gPSUsZkWiak+aHcnxPi3Jy8M6bxRsqwjFoGGJbwPGu8xhQtcc+Jd7D3HYah1KULAcNlm/88zp59T9717MWPVCPw6mOp84uznRCVuo2H75omlluRRXJSgeVkxJaXWUNW7feqVzYvd2h9epxeI+el1i2QarzUjA6NbATycK5qTTqP3eai5oOw217Ke//R/+k/kuvD4SDEhouLCyEMzTHKfFHC8pTfl2XBWFnURISh1zBccaU6q47p224Wlv+0HMSp2212cJUQdZwJ01Lq6nD/gNuX39Z35RJHrdWEWR290zCEDipObNmSwzAImcqFIBpu83zE4VDq2hGwbaLRALIzs5gJKbQJ2netAGuMccUu1WnLCOA+Si1Pv/37H8pvn376qYhaX15eyj1WRLbEcy5/hLAOg5bNXH+8v5Xfp7sb+UY0a+Ju6A3b08TydtTU7rHd7nB99VzKfLa7lPe2GNgA4IfeOO0bMsU8yqCbxyNSUjFdedZ79E3UfEVWZelrANB3W13DP9U1/O7+tbz39uYO41jmiOvrD3F9XerXdx36GjM6pYTjpISW2XAo/t3/ge6p3pVOFrRTOqVTOqVTOqVTOqXfsPTeFrT/4p/8kVxP8yy70mleRLpg2GwkDJG1Sqzo3Mz4B//PfwgAODs7w3/4H/7PARRa6w9/+ltyCnz5zRukKh9xP0bcHeuJlz1Sk16HHuFv7m7xZ3/6VwCAvuvwi59/Vb+XMR727esrmqvvnVrQOi+xMLpukFPc69d7BP8NAODwcMCbemovpaN2IbIWBMI+qYXjmFhUjP/xf/4vcHtTThvH/YJlahIOCZwTHDmcdYRdDWXlxxF/+l/+MZgIw7DBxx99BgD4y5ev5f3nG93pX3/wEbp6Sry4ei67ePYOuVmYCMi0MmtJepcz4oqWDKPHZZ91zvzgNDAv22fX4Ub8SutJ0zgeVWbBqQ0thE508xKA2ciFpNXxsemiEKwmhbP6dDbUFrkSLWGegWUB5QyAwN6D+w7c94/qgKzSxYoSb3W4rO5Qy+e/jETBaOu9uABVc0K/+11QDcEyzDO4RkRImVU6xBPmoYXFMkrazAhYZDyNX7+U66ULoNqXdh99iP7ioj0iiVnFmpiByQTojpaZbkIMfPBbf0ssPd3Lr7BME1zOuLi9xVjLkUnF1gkZVG2fi5uQtjOYgZuwYLsrcjTBBELuwkbGKAUVVnQuIVarELkOi6/yKb0D12D1maGSPJnhx2e1cADHA6SwaZLr+XiPXC0wy7ggLVHeJf2OgliRHRGohRyihPnYxjVhPAyS38NG+5XvnqFLdQy4Hj6rWrpEKGBWnTBmZG4yQxlz1EjmnNX6R9DQXuS8RgsZeoTs0TMQOCBQs6A5JApYyIGdR9+pnIaVFbEyPtM0qQSNkbCJyyLXIXQyRzhiDJ1GC9GmdejNWOrNpB6nRaw+x4cs/T4sBN9Xyy95qSvizii9azQGEARRAUj0uVpda2GtNAOjYRXD9gy782IBOhw6TDUKjKcS+qulZPJest2kRHRwOee1z7gSWG4gQmcEKhJnTDHimMscp9ExSCyVm0FllMbDXmQlri7PRW4nser8hS5IvyNSa05MCfcVPco54+GmronMGG90fTzfacSh+Thqn/JepIX6szMMuzInNMSt1AXjWCOplMg+Oq6tZc5GYChhvsp1N2zQU5mzclyQWuSDnDEf2xggVcZglkgzRITr599DG4DdxceyHzgfLmS+n91L8P4BIWWkKeLVl5+DmdBvBuwuL5BdQYWc0QXsTZjG90nvvUFbFt10TJPqtczzYrSXAlozWjFHu5DnnDFXWMM9wruKjknTD9HnLHTKMNojrNfZaCGBIaZH5rzKuzOmY2Sjb5KzdPecs4jKRk6CsSzLgtm8y5vFOBhB2ZiSmqRTEimheVkw10VznhcT1zMCzPhkN+B/8/f/Hv69n/wEwTl8E2f8n6cFXwcH76Po3Ng8TEaoNMYoulslRIfZILdygp/UFeNf8Rc92qI8+QKpAn7nZuTxz/TUJs0MOuZHGxvSen6qfOvf395yPt5oIWf4b77B5k/+BNs//mN0r16BxhHwHmm3w/zZZzj8wR9g+u3fBna7t4r6X0syAs1wTvSzqOtk+5yJQHVi4JTg2tggEuiyPK4bNHiNKso5i7BuTglOILNfb3O/PpxBIHgAcKET/T/nO3if8Ok3X+L3fvlzhEeb26eTwwLgf5cZ/8QsSC3ZkG1kICAymnRWGLqsQvV+hoTwYWQ4pyGZyAqxGhCdXIkgXF4VVcfJCkkb+N5OZY/UT8GcdD5inZuYNbxTge8Uzm9z1lpU1cLx5vcn2lFcCahoUxEDH0bGb00Rf3tmfMQRW4zwAEYAr4nws9DjT3Zn+LbfPjok6bueun7ftKorq1NlxnsR3367HEU/y15LCR/lZf0u/fZ6ffp1ykJEcjAnWgsmy5pj3lPGxrtnlnbfpff4N87P8d9//hy/fX6OZ10HR4S7ZcFf3N/jP/32W/w/bm5w/5aY8lrnC7yeHbWe7ThRUev2d31YRaJzXmmAWrHd1TqwPs3pO0GrzeRKb1C/ttLcW0/A7+jTpO/NZozz6pF3rIXMj9pMdUrJ1fU2My7GiB+8fMCn9xPOIiPUk9gYCA/nt/j2xSXefHChoQfx64+B996gndK/+vS//oPfx7/34x+jqx1rFwLOM+Pr/5rz9d/YlDP6P/0zXPxn/wD9F1+AUtJxnzPc7S2621ts/uIvcPz938f93//7SB999F9njv8bnShnXOwf0L3X5qykDsD1E5E0Tum/WnIM/NaY8W/tI37IAf7REe0MwBkzPlsm/MH9gn+cMv7ZxTNMj/wxT+lfXvq46/Dvf/QR/u2PPsLOHKYA4Pkw4Pkw4O9cX+Nff/kS/4evvsLPTSzfU/qXmHLGs69e4Xd+9g0u9qMc5Fo6i4yzmyOe3494eXfAlz/6GOPZ5ul3/Yr03hu0/V4b++7+Xkzo3nu1zvCMpQZyDiGIadV5hyCndsKmmjQ3mwF//csv5J6X374R02fMkH3zHBlj9a7rho04Nz7c3eLhtphab2+POB5qIF5KOOy/1cxLGCDChx9fy1RztjuTHW03dHKqPh4XjGM5GY/HB4zHYo2bxxH7h4daVkaO7XsOu4vq+OsIn/7kB0qieBjNzj4gdMXsOmx6+FAdWAH8mx++wP/i7/4ddAai4cw4jkfczyUg7Reff17eGdW592HUY+LtfANfA/9+n3+Ky/wCANBvz9DXOmcU5+6WrJKyPdes/zInV3P9DqT0kcVr/W/2TGo7X45qlf36lz/H4VicmbdnF+iqsvjVsyvs+mc1r+sXP72k06O8mzBADITPP8fV/+X/inBzIyFwnkpuHLH7oz+COxzw5n/0P0a+vl7pqDcICQDIhFxZR22wsEjJW7k01kKsT4HvUthu/wpUg09D25YJ815DU6VmNfMeVAMlkyMJ3UXtNFr/6v7W78h7h/EH0q8oBBnjFDpEUfnXEy8/6jPNcZtRAp7Lz6YeuhqJAwCu/A5u/4DLn//8O8r8dNrsznB2UeCkuNzJ796XkN5AhdNrdXbBwXGNbOK2SC2INDm0wOKcgRYQhJkx7g/y3hj3ck15kmJ3mzNwda6f9/cCxcRlETIEZyBVZXfHHnFqkJpDMNE/4ngvh/vDQ6f9hxcZ45tliy4UWCh0AZ3AJzZYOosjNXNGNFFOFgNxLtODQJPzPOF7MeN/eNzgA4TvdFQm4P/L3p8025Zk54HY5+67O81tX/9e9BHZZwKJhmgogARZYCuVWVVZscpksrKaaCiZxhrrH2ggk8YayFQmlRnJKpElwkgWSRBggcwEEkhkRmZGZnQvXnu70+7GGw3cfa21z7s34kUCINNK19Mscr9zz9nbt7fL17e+b+GG9/jN9QUcNL61fwyRrGWkWD/63Que8zxpOFBfA8Kbo8ZJDUQw/3rL/bFaLsljuWyZrLQ3q1FWEQb33nLSdqVREowKlORZBYIRMONlTvyd99AGvCgqzrWgigJFWsM0PJATuCugFC8VUbiERmkF6cmaaoW/d/s2fvvOHVSfQvKqjcFv3bkDozX+bx9/jDNrqQ+OUmgCALQt70vLizNsN7ENZtM5BdHHDAPx+5vNBmcpW0vwfoTi1BXDdiqhDADQ9bymTxvOeALNIRrWWXTJkBz0gL5Pfa816ir3kcJ0wqERRlhE/dCRQ24YLCF3zWTC3nBTw6g4T3zo0XWb9AyDJvWL0gp3j+/EayjMj27QetF7B6QsFj4UmJ6v8Or33kfdDVfugQBQuIC7JyuorsN37x+irwpU0/nVP7jsHi/7RZmNfhis2EiEK9F5KMXuzvyG0Y2ZcRjAFDntU4E2waVaa/T9QKlZQv4yIrOEDslK0+99AMUYWOszIhNhAFp8AtWJKpBdvtqQG9qYgq5DsGSA9v2A7bZN1z2lnPLeU4yJUopS6SilYIqS2mSz3XJbKU3toDWI1fL6dIL/4y99E4fN2MoOqU1d8CkvZGwrp3iRzemHAADtmrDybmhhUyxcIZguEvCIrTFaHsW31M6/1BXX4l4v4b3d/QqBDsKY6dotxQ1GxnCGihy56f0Ldb7sCTvgrFxYuw77/93/B8XZmUDMFUJRwNd1hL6GAbrvobyHcg6TH/0I9l//a5z/rb8FjGIJdtz3I7h1XJdPLS8rSbhj/xIq4D2lWvHOUQycMprjaVQ0XKhKMtZlzgcW1CW3y2D5e+rycXElyBk4H2nsYTH/ipJepmgUyrbFpGVDKCgFawoEyhcr4/oCvHMIABa1iH0VxjKCFzs8b6ZKK5iQUyFpQOcNuoA2dWo/fqXgPYpSwDgyFZKXZnQNhBTn1LfIaXJiGqyUei545ONE8IpT4ygPma8xeEt1t3ag9WSwA29utiRDTGsFT/FCwnCW4QLyMBDG+Rp9cPR84xz+7rbELRT0bh5AB6BXMadlEQImUDDJNJ+EgL+yOsdPJns4K15uW1FinjD4GK5cU7R4J0apwsgIlHuTc4DjHGVQqZ/jRpE3fxGvBV6TAwICGQKBvkv1EvUbQ5+XVV5R6IkK44OtfKfdSA5msgf8pfke/sbduxR75wFsrcUmrf/TosC0iP1VaI3fvHUL765W+AcnJ9RWpQhtaFseC5E9zeMi10krzgkbvEOfWI4hBLIHFADTVPS5MTJWTGDM2D2483t7gkgBqBwvaXj9GjXquC9knK/znOrOC/sDUBx7rjR8YLuEQiy0RtOwcVmUrFTRS1zUerz2vfdQt/1o5RuMglWxb4sAFD6OY+MD7ix7PH2+wAc35yjqyw8sV5VriPM/cNkvS/xvv/QOvnh89B82run/z0rzx3+C6smT0SSzBwdY/fIvY/ONn0OoKjTvvou93/vXqJ4+hQoBynvM/vg7WP/CL6C7/+A/ZPX/Z1lM36HcCk9VUeHjt7+E0xsRVu77LTar6D0ehg5np8/QK43n/vMtetfl08tbg8IbqEfG2cfK419PpvjJdA9WKbzSD/j19Qbv2B5FMqpm8Pil5Sl+Z3I9N/48S6kU/vN798g4CwBOuhb/r48f4p+enwMh4K8dHeE/vX8fdycTKACl1vjbd+7gn56fY/k5Qgauy6eX/een2FssR4f65XyC9+4d4NFEobAO959c4M3nG0wT3mQC8Mqyx8Pjz/+8lzbQpGXcNBOyVJtmIrxj0sTQFLRfFwUl1Q4hBd4jDrTlKuvDaPz+7/8bslrfeOsd8pRpY9A08WR7enaKzSayMJQIQqzKErPZnKphkvaSUgpNza/pgiVjWJuSIFWtOMqi7wasV/EZ7bZD30aPlbUDrPCgde2W3tues2t2uWKGzGbbCVZMhXqSPAYloLzCb986wt994zU05vLYjew1CN7DJrdycyiZiXxOcOiQ3efr7SnCeXxu3XWok3aWC8CQGGzGGEpwHt+DL6VLX/arFi44DfXCqS9fXHWqlFpketjSI08ff0wMuA9/+KdYpXHx4PW3cXgcodp+2qDr56ldOFAV4ITj8Xm78EkqIjh0/sd/MjrdhbLE8q//R2i/8XUoHSdW982fR5jPcPzf/rfQmw0UItw5+8530N+/T7/diliP2USDA7eZVRSEvpAMXobiao3qqhR5heivdGrkl/FaEZSi6wLGJb0zeEpeHryDS9p5SmvoxIJWUCgS+05hTNpRNbPydFlwhY0mKAxB0fspAdsqxeMnqOjVQKpy7wf2TAlmVrAW5dlzaMvQiSsLrO7cR390BACwQ4+wH6FM17bYpFP8pO8IBrctsxRtMWVoUJfwl3g2C1UCCTLUukJZRCjFu4A+3T/ogFBx73TCBRI9YxmW2geSB0+HAJ8YjENRotdJa805DDrrIgHB96nNNLzN40jB91sax8OGw0gUQKyw4CxcgqNcVRMjVms9Wq/JYxc8+vyMAHT9BX2j367I0/nVvhoFlHcI+H+XGg9LgyJ4IAA/KEo8n+3jv7o4wR3h9Xqz32C9PuMnC+OgEiy9oigpAD2TdYDkxc4Qp+L3CAGwQyZ+BazWG/p8vVlTlw7WsbPDlMjKiXrSoMis9s7DJy1NUwBlJdpWQpQCShsl0la7a01eT1mLzhQFeWeKqkKToT83IGx4vVCePVHjNTd7PIEvTxu8NmOIz4WAf/LkEf7hyVMMCen5706eoQDwX73xBiapzV6bzfClpsG/yYxLJ2FJ4U3brKmf3GCxJojT0LtaOyA73rUxqGc5ZCYIJAkomhlyBwzOEdzce1D4U1kagqvd4GBD6gtjUCbvljYBvuSxs9kwjO0GPsRtBVS7d3CMIum5Nc2UFA2cAyFiddGgmh4AiGFYs/QeSqkIi6YShCiB9y1dH3/yaOQBdVrjw69+Eev9EtOkp/i4qTFbfYDXumicAcD+4GG3G9jqL4jFKeUD5MZR1yxJYZ1wMXrPVG8ootA67+EsQx5ZdBYA3v/gA1qUbt6+i6pmLDwL6UUs/BwAMK0bTJvYqMYUJKSntEKdKMVKAbN5mpgh4OKCacBaQI5KiA/awWFIbMuht+TOdZaF+7xzI3jRgfHyrutoovYDmyTaFLQYGK1ws6zwv//Kl3BjcnUAIW3wwhVcVmKDEUZSO1hy33bDFqrNm3UBF+K1dUDvMqxrRv0qw6Q0LndJK1YrSIvKixCSZNAAcuER1l0IcH1L91qcPSfx0PPnT7BcxliiGzdvwe1Fo0zS8YNwZwMqxknR8y6H4QilW1zApJNnLv39++i+8Y0IB6bPvFLo33kH/f37aH70I/pu8+P3IiRLEBSPgzGbjoFY58XY8TuA4GjxF23+AiU7n6CFgRAxmvhXY6DTwquGLnYWksxDDlEIBoogxzEFHGDDWhlhZAcBZHoBLktkV9Q9BGZ/eR8IOgshcFwcgMgYS79xFpNnj0ceTVcUsPM5KhdjPQrvUZgi0tcDKFbGhwCT2soL4VjvBtokPTS0MAiJ2aY1wU9GV6iKOBcdAoLJAtweZZGhlwBXsKHhZPSjtlBJyFW7jgMunafATzsMxHTz3tMhNjLgRCiCG3h8DS0ZmkO3hU4G5VCUNHS0VmzMeBkpypiaD55iryJMxYaCtR0QAlQA7oXJ6FD1ETx+og2Md2RQAMBzXeL9osAdEdc28w6+2zCjU8wxKbiqNRsz49AIcXpRgQ5e3nvYVHfnvWDpB2zaXt6A4S+j6RCgihKmjv1mXQudhok2ELF/gVi4AWNRbSXmhhYMv/g8PvDmd9JaQ+VrIY7qh3yEzvfNz0vrpBJzPD3i1/YPRpJEnXP4B8+eoPesFjAEj//v+Tn+475Hk7xoWin81eNj/P4ixWUKCL0w/A6b9ZrWMAVNTggtxI8Bnt9GazrYe++xsTy/jTDCtWkJJnbOgg4yHhT7HHxAyBB1AIxmWFPG42YlhhACeuFl3263tB4eHN0gO6EoSxS5LiqQUrvWBmXqC2MMZnOOCSNh/RDQO36GD9xjVdvFNTd+Eev5DJsbRyhDT/GEm77DujYIHbd36QE/DAiD7P3PLtcQ53+gMi0M/g9vvYY39+cUXr0ZLGbldZf8RRezWkNZO/JY9a+8gtGKnIvWGO7eRfPee3EDA2AWC+jFAv7g4N9Xlf/nX0LA9Px09JG2Fm/+/r/EdHmGwlp4pdE2E5wf38TDm7fx1Hu4P3NWjOsiiwHQhoAWHgYKBgqfXBVfCPYQ5CIjf67Ln70opfDOfD46uH28WeNExh6nsnQO76/XuCs8QV/e33/B2LkuP3354Oe/guNHJ2gWS1Rdh2ev3n/hO8YH7PV+5GnrgU+ZRVeXl7YGcnqReF3Q45zzlBakLCs6xWlj6HReNzUmk+ji9d5B9QxL3hGyBcGxt+nRJw8pvcLDj97HehUtWuUcDuZJj8o6tCldyXp1gfOz56keJcobERZRSo2ERLOFDWT4MLlj+5Zc/H3bYkgnNIOAJqfB0AplOhFoM8HdOzfoGeWkputCnBRD8ARx6iIK42ql8HcOb+C37vG7d87hv3/4Cf6LN167vAMC6GRZCK9XDtIFADj2Wq4Xa2zWCfIoHEzZp68YWJ+gY61xdsKMUCVGlAx9lkzPQvwlEuPyewrvWP4j3Ys/mjJyhjos6TersyckJmh8iyYdcfv1BRYnKfDaWqzX0dUdfCBIJ95bwGWBN+2gBLydDjT7z59hb7CjwR9kGhPxecTLd+Bn76GePcYwjSeuTqTechNOeWWtozE1DFYQbTS1ijaGxnnU5xLClSM/iKL7SuHTABbNNXXNddUGWniYSJdQa5ic6kQpFMLlrkVqJK2vCv/noH9Ixio4nVicV5avJZNP4Lum5PRehSnQrBhyUwAmmzUmAtrQ8Jivl5itlzh48gnKwxv4+O59FGWJo5QyrhcMZ2c7cgvrAggcKczPCQYqrQ+FUYhLaXQ2iJB99g5CjeBD50DvE726DOdmEVNjSoQyQcG6ANKY9N4BgvAjA6+HjqFa7VnTENpAZUi2KOCyNy7VDYhegsKPPZWxToEYuEBMzZW9D16X0asG4B+UHq/5HjOl0agK3y4n0bOsaqiUYE1BYd8HvObGhsISClZ45kZzSbBGnRfalAioC05/lIeXDQ6D26a28ui2HKQuoVMjqZCe18NgSoQMMzYVirRGW1sgaaDDGI1SwH06w8FgVCS+L691RqSlG2ncgQkkAR4+3Utrg6pKqX8AdERKCBjSOqeCggbD5ZENrjArNA4rsWgC+HizBaBHYwwBcMHho80Gvya+u1+W2DclFtbS+gqMSX/e+aySi+AtMhKqjEEmvVRVhSkJypbY3z+Mv/UewfFKsRWM7XI6I8OwXV+w6oEL5JWq6xpFHs9CwBZQ6AQpYbPmdaBSzODxzoKXNk1oXlU1qBK6VgYFH1iTLodOKaVIxVBhvE5JElpEmZKdMJ3i6Ttz8avkKA8a2gY0yw0efHSCm12AFEI5qxRUXRGb+2XL5zDQCnEt8l+Jl5pMJqjr6Pqs6hpVui7LEpOE/1tnEdKCUdc1GWghBJycnNO9Hj/6mNz6n3z0AdYp5uDW7Ts4TJT6xfkC20Sx3iwvsEgn8GbS4PB4P91J0SIUQiBcOn4A6oV221IH9dsWNkGvpSmIRuy9Rp1UoOu6wr37d+MTlMJ0f4+e0cnFMXC2A11ESOnLkwn+i1cfYJJYNwHAP3v0GP/y9OxqAw28rZS6EJ+Ntbsyx321XcP6aGR6NSCoONh9KBDAE14yqajKO6Z+FESO3ysFs0cuWk6oOIdRkJW4jwKODvJiGjA3LCWwOn1CEE/hOjTJ1d2vL7BMn282W5gEb3vn4IcM14Cg3RAAF8Rij5IW0yHlYzzYrvFFa9GINjUXF8jgoay5CgHm7Gz8PiEAi3NYG2nZvcgT5xzfwTpuk75neFYpQ8KnUJoNboURVJsNihDGG50MifcyBqauyShTZQWTD0XOiXmqKEcgEONjQK0l2kNA1jLG2IsWCpJ1GDjGTqrEB8niTBBaLlH9PimKb5co+pdbvBSAed/h6ydPUc9m+MmtuzhOOfwebc/oe27oyOB1IpwhgNsMwdN3gldQKkMpIEMqIFAsTkCgTWBUISBSP8l4BTLGqXWJskrXzlEOS+esGLcBdsjGQUDfsvI6BJSFooJJcKs2Jee8lZCa1nCB1zlGZDhfajTGuDOcKuk9PqgqfKDyQbuB1nWCzGroZKBpAH9pc4ax4AzwflECjo1LeVBzwphzgjnYFDWqdAgenCOj0zqHLlkLzjp0G75vPpAFhOg8yI8ZxAArCmLoFnWNYhr3I9OxMr8pNCpS2A8MOcqxGuKJiOcGw4MuyJkpQw8YWtbGoEg5b/sQAMEUdXqgn9Z+LAukABybApUaC+48HwZAxe1fhTxHYwjFs21PXszYZxrHZYmVC5SdBQD6jueaFJeNTpIMu7Jge1U0OEp7XFmUODo8BBD7aLMV8CP4vqWY7JvNAjatYkoYVRVKcv7EPKwpJMEHDEmmwzmH01MOTTqecy7OOPzFwSSFOlR1g6ZJ8aTKRCw7taoWsDmtU/GD3AqACB3KMcnx15JxnA6S5wvc/94PULQdjPMoBgvjFd1p0MDDwwaoK4SWpUdeplzjaf8ei1IKe9rgv7x9B2/t7UEjbrw/uLjA//3jTzC7gihwXf58y7KZoC9KQASkNz/8IVbLJSC0ggBAn5+jvkSbS/WfL5bgunx6mTz5hDbHXIJScMbEmDNET5KxjhbJ0ll84cMf47nQSLouf/FFh4CvtSv8il1DRkluoPA/TfcBQdS4Ln+2MtUGuxl3FpfAm7ksd3TntFLYMwWAz+e5uS4vX6Zn59g7vbgU2vcK+GRa4NG+dAe8fPmpWJxFYcgzMAyci3MQej2mKOjkbN2AzYZP3ePAdx5Qhwe8OUqHRakVinwa8RbIoqauI4HTQgfMklpv0zRompJutNms+D3EYA+uJujHW8f5upxP2EX6XmrXaVNj/yBCKWVZ4nA/ujq1Mbjz4D690wefPKT637x5TNuOswF/XZX4KzdvIztNF32P/+bDj/D95QLf3B8bBwgJylMePnjRJjIgXrjFlQg6DQbesvcgn3MFKoUIV41d9JeV4IW2kOITc1kYGNKoEvcS3pQI+WZRUIV5wyf7/Vqwio4PkQU1J5Vmd3w1JZZdMAohOaW9HSinWghAP9ADgYL1bKxnP8HgeII83j/EjXbDp+LlEgd//+9j8Ru/if7uHUBplE+fYP93fxdmtRpPreDRb5dYrZLHVvHz+mGAdiIANj3dmII9HIoZXtoYDvJXY08ZH0DDyIs1dk4q/qKElQ2zkrXWDO8pcUpXGPe/yFUqs84EL9ILeYZtvfPjgPeBvWZWpJaSkEIpIFVTsHezuTgdvVjQGus7D/DsjbexuHEDAcDeo4e4+d672FtcQHufjDSHdz5+H989PACg8OGFgEQLwyzO4IUHjSEqpTTBoM7wyT5OlJxXeAynZ880ADjfMcRpe4bx3CDEVAWtQ2konb2VhiHtMA5G9p43VJkCSNuBNCFVMcAjjyMLbbJnrUAG6mMOS3Hwky5MU9OUN1XFcxZVbCMAWlXchkpBhYAvdWv8zXaBQ7Fe9AD+XTXBeVHAC3jWioOMtDO0UtRuKrDjcRgstknv0QaHLkGhwQfyrCmokVipGgnK8hwwytC4LwQhSkERxOc9941MOxQ75PJJZ0Q4hRvNIV4DrbMIQ0QtKtOgSrHFpiiS/l+8pw9dfnjyhon1FAFGqRfEUFvr4vzyCjonqkWACh6DVCFPnxvEfdZIIpUVeSvLikZoVZU0XoziVGnOB6xSmJExBtkZKj2NCho3EuMeANbtmp7RbZcYuuSRHrbEKHXWkzitMQE5raIXRBAvCGFKAabkLKRayCh3bUfhLVU9h9Y5FKCCKnhcDMLmkAQVSlmV/kvQqfiStZbCGJy1CIPF8cXiStNLAzjsLG6sejyel+i7vyAPWl2LRKZi01utmAFSdC11dIxtiQZT13Xos5yG0ZgmuBOBpQAA4NX7D8h1eX52Rp0yLQCXJmHhWgrbCN0avo8Lcmk8bt2IsGZVVzjcj5vmYC2efviYnjGf7bF72jacuaATCVX7ASobCEJY8nDvCN/46pfj5yrF0AAoqxLf+MVvprbxeH76nOp+8/49GvC3eo//TRvQpEHvQ8C/fPYU//jZE3RDi34Q8Gt8OLx3cHBjCQRwEKg2TjC5hpSwFwjWwA3xuTYUcFn6QSnq9VF80CWQZG6n7XrFkzm0FKcxnVQjujYN0h23c1PmRNYKtw736EuHM07KbA4LMi5t39GKfbZqsU0TuB0C+uT1ssMa7SLCWdZ5rLepv5RGs59hc2A78KIXQ8Xi9XeObuKdk6eYuBwDElC/9x6Onj+HPTiM/btYoLy4gNo5lYYQsNic4eT5RwCAWze+Sn/bbjt6p6Lg028h4jNlbreglIA8+DAgQ/rCzl4h21omk48GevqN1hmhQ/Ah27jxUDSCHwUsLcxDL9JeBSl07Fm01g49zZmhH9Bv84Ia6HyjtMbBjZv0+3o6F2xfzlDg7zxA//BDFO0aqu+xvXUPz//q30JbVdBJkX/x5gSb+Qxv/8HvY7JZU/1ublb40ltvYFtP8AfvMtFAwTLEOUyozaE0WwsicTaUQaezgaehdY5L5HYPCPACZB7sir/QrziDgrc0hpVi+BEqEMM1OAWdmGPee5HUPKDrmUUGbzmmtZ1SBhKPDsam9kMBj2wEBPjMJlUKtRZ+Lh4I0CUfCGM90r0s51RGcDQvtVf42naFv90tcFOMFQfgA1PiW3tzBDi49QX9rRcSNNNJzexeKDKMEbgJN9sWZ4nBbeExZHY8FCqKJw2YiPXQcEgnSs9sfK0LqPTudVERk3IDTXmQYwxZPiApikcLIaAQxg8g6OuBI3Hjhp0O+YHhQTt0MWEpANUY7CfnQYBHWacY6uAwJFV7BEAFrnufDJjwgsEV4d6+d1BOwZAhHVAaGZEqvu8svBtQ17xvWMtGj2SfVnVN4UxeymRYzyFIIUC5GO+tjcHte0n3Tim8/sabNFafnp6mnNAxHrRPhvvy9Cmt4zHLSJLZ0AY+bYHDMGCR2aeQMD1QNRMRmlPQ9Wq5BpI8VszYk95pElCltdd5h0HI0dQi9pjCBcKO40IrqkDXbcghtbpYYmhb3FlyPXeLCsDBAHz92QbLYornIqb2Zco1xPnvqTQ+4O+0DgcU1wJ8stng//LhB1h9isv6uvzFlOVkij+89wr+0sMPYUL0xmjvUZ2doTo7+/Qfq0jhvy5/fmXzzlfQ3XsFaoieh6GZwE/nQD+Gy7YHhzi9/woe/OhdAHHPNN7j8GKB7e3JJXe+Ln/WokL0p/3yeoHf7rc4GPnggafK4Hf2DnBuyigPcl3+3MoQxknNAaD8lLWnki6hVOw1g/MvrAQAHxzM0U1q9JMG3mgcLde4f7rExHqKU5u7gC89W+MDTp7yUuWlDbRB6Hc4z4HvxmiEwOkSSIPGOwyJsWCFZlihCkqnobUml59SCkawyLyzZKnOZhMSEJxNJyR4uK0MubondYkmsXS0MaSHFEUPM6QQYTmQB82SpkkMqIzXhdFwpCnk0LfJa9P3dN+iKDBLnsCyLAnqU0iuewoW9jBe4S9vHd5Q4+b+p8+e4J3pFG+WFdxg8ZbQZAGii/mBKmIwqSqgQ4BTii19AMqzq8V5cQoYBZuylwWKI33GSBlDDvmfGH0zwxEOlCYlgDwG8jvSgwYYSnMTlIHt+QTRFSxUq21LJ3U39FSXbbslnaNucGiT2GG72aJr1/TeQ4I4tTagVDwqBxOnsar53X3w+MHNu6i6Dl89e47G2UvzcQat4asKumXNNg9gqT3advXC97Vhr6A2hgkVmqG03T7gx44X4zEvQfQNcGkfjuHKwEMwBDoJx+uxK//S3wvoZ5QuSIrk+nCpLl1Md2b4vaniitKpxb8JSKcs4Q5ioH9wFgjR52tMgZCFWYOHMwWW9x4A7/2AITIAk2GAUhp2YI9NTBOWISOQp0xpc7kHDRpOWbrOhIFcd2qakVAtQ75KTAFACzen2uknFo6V154CzndO8N6TZ9U5S2HKurDIgl6SCKJ0QWMn/k7uCBmPUuyuBZJGXB64Bf1NKYWJs/hfrM7xG303ItY4AI9Vgf9m7wbOi4DgB3jXw0lYc3cdSvd1jpmYTjuCXgfv4MV6nT1EUodMASO8VLLMZZ5HpTX9TUFlWcAowJphxtG6F4QeWACjYkqIHBPhEUCEhk16J4uBvM0DFMG7rnS8/GotCCfRawak19eFmHMOAQGr4GB33Od7hYmaaZpdj8oAyijs1eXouz4EXLg+MkrFO2jDYUpxbeJ3c7RWsDyH84Hex1uL7SKuvbowJBKttMYbgR8zm83p9/O9Q3TJgxmGHm0m2viQiFXRu4ikwWatG7VzQTC9ghP8SK0M97cgU3hnIxKDCIkGgRpQkWS2nb1PhjT0fU/P2KxXhBq07Qa2H/BcA6uDCXnjns0qPJlX+OYHzzF1TCq43XnMa42tkfPx08tLG2jL5cXOJyl2ZFILoT7Gr/u+Q59ZGN7DptaeTCaYTiP7zWiN05PoKlVKYfKVL3LOue2CJsuX3nwFZcbPPcdAFejRJtXqw+NjvPLGm7GuqxW+/8Mfxmc7ByNycR7sc77BxekFbVyVKSnZsJpOMU2sopNnT3F68gwAsD8pYRNrdLK/hy+9/Ub8vtbYSzFvzjkoP3CH+wGH3uEdq1GNhA+B//qNt/Bff0qbz7TB35nG8+pGAf+8HXAxqdGOshEPNCFa68le8kFBp+4NuoiK6QCcUhhkrFKWTwmBoMsRvgZAKyYda7+GTrEyapBaLxaU8zQEMnaUMkBIbBqtsDzJ7uCAzUUvmGoyhyI/+/GTp1imBPXbzZbiEoZ+YNo9NLxJyepNgemNG+nzDLUnw1vEePhuhY0p8K2jY+i7d/HW6XNMzk5hug46eARj4Pb20N2/Cz+fY+/f/AHVywePD9aPsbFxXKhXfp3q20ymHIcpxV4Fy84Fbl0pmQHQPpVs/MDX4jsj3phcbwQ33I1Eo8cG2kj2gqCDcZ9LQVkp/qoU5wzsB4shscG8czGfI2IfzOb7/BsR+1JNGJLQiuVo+u0AtC1UuwWch9s/BIxBYQxJoAx9h8IYlPMX4zhKZVDXE2yWn9BntmsohqYwU2LOKl1yXkal4+6GRIIWU8ALuRYjpA6UYcNPC4FrEwAFTkpPYpxwyL3m3QCXxrrzFi7Fmnnv4ULOMBCoLQEkdmcyAvyS6u6CQeXzJmuiLD6iKG/Z5I7VAEGcARBz1GgOqaiKGbVVsBVyLNC+7fBXLh7jm303IgRYAO+rEv9oegMnWsH2kWXn+h7tOUM+jRBb1uDYofV6iyGt751q4VSGwgZkZNFAY5rXMAWgFP1Rs7i3ErJGEOrzhSlg0ruXUMjiA1U5wWQ/xUq5ASrFMduuxfJ5HD9aKdw6nOWmQg82YNuBuXyHN++Q8GnbbSn/8en5Kc4vzmNdzQSmzu9RoK4SxOkclBNe36oh68am+NVnBujTwY02+qZBXRi44AAVX8oUGlVT4va8YSQW0Xv2xK8xFA5GhKNMDBNrrB04dg6Z7R4bPY/nruuwPo/vs7y4wPe+/Z30bgavvPpqbDNj8Mt/+a9QjN47b3M2oIOjOyRKf3HyBG2KC3/yyUd4+ujj2BXOwlE2jQAJPTcNw/FbNDSOSs3rSclIJNrNCiFLWgSHKosRK5biUAA7GAIoU0IIQN/zQe/Zk4cUK//syVMMOQsF+AAynUwxSzIkPgRcBOBGEfAl9hXAKI171RRPZi+fTeAa4vz3UMoQiQ4/bVGIC0xjLS5Qf+b3r8tLlhBgtcbJ2++g+rmfQ312jgk86qpEKAq4gz3YOzdw+N//I7KEAgBbV9hIa/u6/NnKZoP9f/KPUDx9EuP9QsDiV38T3Re/dunXy/WLnktbvvyid10+u6gQsGcH/PbZJ/jqsBltFA7Au6rCP5nfwImpEK4Zgn9hZeM9zne0sx5MLofylVJ4IAxXALgYOqyvc3H++ZQQ8FYP3Noq7AWNAgq/V1tcXLG3n5cG6MZaeuVIN++zy0sbaGO2n6Kj/rhqO655Er3UnMdL61GWej5NKzhr4dPL2mEgD5qzllJwlKagwP7SGBQmn5A1wYxGK7CYJqcLgVLw3jNJQLDQgjIEXRitSSuqMJpSFUXUL4kPKpBXT2nFgddJWyW/Y9d26JSBdzUoAdlPUxQIjvUjdhG7TYJnr4uEWUNw8CnBiFcazrNQYgZfImwmBa+E1wwMvmmliDmjZHRvek6sR+Bgae1jGhlkSJtPSNqyJyQGVdO/6PO+7+jE4pyjdvbecdoaAA6ZMadGeksYacYxOPjm+Rl+8fwUE+cw+fG7eP71n8fTX/hluP05fGLnQgWo9QL1Bx9ClvbuLQRs6N2lFuAITtT8PIXxHBp72i+f4CPoU37/0u9kx+clkOUOGeAqVfFw2W/pllf9hr/PQphSHFqREKxCgkzyj0yEn/Vqgerj92EWzIaavPsnaL/w1YhA5Tul9WLv4Ucjg9lDYbW3n9CqsTZb9lwFkeZIQbPnVxlay3xgMoaEd/K6kYvRoj9GoQCiHz/lPHZ5O4er29/z/FNhVElev3avae6rUZvgir6XRQGYOYvfPn+Er9utkFWOaYq+VUzwP8xvYVA6QfTqyvdwot2CYz03KZ4cMOK5MjIsvJNKCfcI1Kh51ei9xH20Yg+xhJm1Zha1AoXPBO/Ii6hEuA0UQG49pHFC0CLDpcbbNOczvJ7XSYZdw2iMqNF7y7FE7xQCfrhY4ucOjijd0+vzOfaNwblgYiIAU6Xx+nQsOfPDzZL6IPjxOAh8ubMmBPF/+drTmq4QKA7OFCaGDQEv6APGsZH2Dc3aj2VZUQ7Zum7QJEFZ5xxslj4KPJeVVpTKTQEoq5pRNMOeTR2Y2ETM41Q87fNgL7Iez2tOTRnQCbblMPRwzmG/d/j1zmAPBQ3Fs97h9+swWl+yqPh8h+ARAHTm82V1+BwGmtj0RLyCKRjWHKzFYLNCcEOitWVZUlLSEALWqzV9vjfl08DjD9+nSfHwvR9ScvDt/j4JGX79K1/F/bv34u/tgDJt8nuHh7h3+wgA8Ex7/HHS4lFQuHf7Dj17ccFK48+fP6UO2ptMCed+55VXcCsJ8f3EOGAb4d39SsGkhKh75SF+4SvvAIjSCt95lyHVxw8/ps7+3o9+iOOyxOv338LXDo4xXmLGhmJjDN4+OKT6WQDnbkCHgC5obJsGhTZYCNbIds2Ggg4lVGZf2R4mwRRtG7BNh7DeK2x9XpwUifACQJWs6BDCKNh3b9IQbDcp99jOdGtk2emuW6MfYr2GYYu2TZB48FCC9fbJh5zvbLncyakmWEVKGKP588IYEjW0zlJcpPXAipTBS+gpu8Nv3L5P92rqhuI/3nh+hjt9F1vLAUff/y4+uH8XZfUqioM0VrsWs3/1uzBrluOA1rj44pvAsz+mZzx+/ES0oSEWVFUzczMET3EzEuKMJe8ixJ0bwZrSpsltl4sTcLcXeKmzHMMZ1b45r6Q0KDmr+fghTsScyg3eGEMxpD4w1LNZb3D2NLKli6rCEcmRK0xEf9QTFvmc7R/GcXV8BDQNIFhb9aOPYR59BHv3PmU7KAqDvdOnOEiQSC52OoW9ewtTYwREAnRC4LULW7Gta5onMfydWdXcAhpKZ2+1gq4OuG4Vh0mUFcOoSuQ3VCKPoZcxfCEQxOmdhU+q+1loNH+nF+3f9bz2llbRRmd0LVSLNbLEgPOeGObGFDGDSf6WzEJS8jwzmiVJiqLAb5w/w9f7Fc31gKhz9m/KOf7HvVsp12a6r7cEzzrfo+15fJ1uOTRm23rRvgVyTKZVFj5BdbUxqMsU24sCs6QEABWQwYMAZAQ2wcF81wG8sZZTg7JMcU91gT5JXRR7RziYHQIAJlWB43l8xuriDD9MeR61AiZ7guHXch+cnJxTnNZb917HYWIpeyFMXfzkPdiUMadp9uAyc19r6Cx87iyskpIPPfXHxHEoz7dOL/CfvhLIQJsWBf6z23fw/3z0EF0OK/ABvzk5wEHJxosH8DtPH2Pdxzq1WxmfydCgNNw0BhausAPJTbl2BdOeAQD2MOAbb95M9ynx+jsxtEhpDW1YQqjrPcWcHh7do88f3H8dJhnFy4tnWC8iPD4MA4VFWWuxTTJKPgQKbQGA268xU7QXmnur509j/DKAxjAibu2A5SKOQ20KFMLLmO8aAhtl3nv8yZ98m/pyszpFCB5NUPiV6i4OCoaR33YG/3Z7jnUY4Gxmo5a4qUq80nJoQgBgVcwo8CLt4+pyDXH+eygnQ4//68c/wt5zpplH0DKOoO1yg+16i6/vH+D//Gu/Qb9rvcM/dy1+rBycKfF2dQ3j/HmVx3WNL294wWraFq9/5ztoZ1Pg6BDm/ByTb38L0z/6Y2ixWbY3D7F99d7IQLsuf8ZSVehfeQOTZ8/4sNH3OPxXv4PVN38Vw+tvAcGj/smPMPvDP4DeMrkESuHinS+9mI7ruvzU5c31Bb65OR05/Ael8T0zwY/qGW4OeVvLB7oOQ5KtOPt8CM51eYnyvfUGD9cbvLEXPftGKfzt+3fRugG/c/oMNnj85vEN/Cf372Mi5sHD9RLfXl0tAXFdPl9pVcAjDLgNNtAOTIXftjN8zwWc+AANhQe9w9cGYC9IigzwqAT6z8n+/+kMtB1P/mWnewmlSChz7AKX36EbvPC4Xfe9dEvyiZVP+kE+Q30KdHNFfSUkpLQiiDSyVNnlfimExK0i6gWsnMWiZyaNChYqLYGbdovtdoM7O/EDHsAKAacqoMS4fvT+9KR4IRzXI7c//1azR0SK3Irnquzcy02oRdqLCFTFW43xJ1xaRiwpNar7br+MNbku+Xz0Hpc/bhdika78/G8A+PHeDL96vsA897P3uPvxR/D/8BlUVUE5B9W2ZJwFAL4scfbNr8M3nxIHOGoH6c5WO+/F3xmNmith0MvbbfTvcMX3QrjyO1fhpQHsjRtDnC8BkYo5qpS+uu6iXttf/BXU3/9T6E0UBVbBo376GOU//8cIKR2V6nrooSMCSgDQHt/E6u0vANvLNyKax7vX8n3wYv3Urjrop5ZP/+5ojn6eUNRPmSsvXIfL+3sX0pbr4otjMqAIAb9y/hTNTtySCQFftlt8YSVlT9hXkz2pZwPwf1IanQgxufSd1M41XrgcA5mK1x0FJsqoHfa53BK1uIPaWZ8uG8JKCLNqzXlxVQC0HnuRKRxk976y7gKSlY+TKIrcrqUgqlaKxrkNwN//+BP87778hSgeC+BG0+B//eab+F89eIAAYK8sMS1LhqK9x99/9DHOLRPWrlw3dhpktGKKPqK9T+yDMn+vUnrcZy8888VGl9D1OBeweAYw2nelPaG0pjqqUV24+V/s+xdj8sYwb3hh3uTy7XLAl4NHk0aaAvBmMcN952BX8cElgFpI6AYAWxXw/f3mc8GbwOcw0O6nvJMAsNow62NwHI9hnSeF5sI4+JQz7nD/Jr72tRjwu7i4wB99+9sA4obXJXaoUkC5P6FWvb0/J/bYh++9j23Kw9adLHCcEiM/eOUu/vLP/RwA4GxxgQ9/ELWRTs8XWDx+GiulNPwknvgCgKdn51TfoWuRB812vaBp9OBwjpCyev/6L30Tf+/v/g0AQNNU2N+LDJyqqbE5jQzUfhhw8Tw+z/uA6XRKG9RWaXLBPz87IejCWUUyCEYZFKbk/IypqFh9KIXkecvGBLt750WDTF3fXCwpDkiFnqDF9mKFi0UMrHahQJ/y9E2nU9xNuT+1VtibsSL+fLJHK8mt4xsslDuwxMp6dUbigxcXLRJpCXvTCZo70dgchg5np6kvEDBkuCYEnD89ob44OzujNitLZsnVQjixLAuUCaaAUcg8eKk7Cjg8fhRjxnYn8/T+vZgAGMBQePxPhw1+43yLKsRXNd7DbDbARoiEplb3hcGzL7yOJ/dvo1utR/lQ94U8SlPXI1HhvM/5ECiGcGwT+R1DaPzcfDVKbiwCTSNcGf/tHeeCtMNAIQLOWgwDJx62IlYsQ0AARqLRXcuQsxJMqZGQpXfIg2ToByySfpz3Dp98+B6ACJe9+vY79LzN6oye8eDNLxDLq5hOsfyNv4a9f/E70O02GWkBpmuBjj2dVFelYA+Psf6rfwPNnQeYnyQxahF7EuufwwgsXUvh3Th3pMR9Zo4VMHl8KU1xNlHMVECGwqmtTRCbjdggcmJrAECJ4JI4rdKwJhmfOkCTsqliOikA23a8sA+K5UK8gS3b9J0WZWLGDU0N38drXRSwdkXvMZkz3KwMC372Ls6TN1Yb3LIvsmQNAuafaogmeFRrHM9LPEvZyJVQba9dT2O80Y7CDSZFiSrFGJXNHFUdQwyMqVFlkWsNHJR5ww7YB3u15wVHdjU1b+yn1SH61EHPb9/Hau8AALC8WGG1iKEuRTmFObgFADg8uI2//Opb6XkKr945pGdMhefjD3/8kMVO929BFbEPVxdLuAQj7t99G+U0woDBaNiU0L2peryTpFG0t7jj+WBR1eyZsZ7Z5+eTQwymwHfXPb46r1Gkv8yKArPixS3chYDvPH6Mn3zyFF/pA56nobQWua4nk8nIGOLByoK8wTuKOzs4PMKbr78BILIRJzk7TFHi/ltfSr9VaG7eoHstui3199FeEZPMA5jWJarUnnvTB8C9e+nnHBYQEEahGHLNCyW/8zDw3AhtS46cAp4M3IvzU1ykPN3n52f44Ic/eKHNZAkh4MmTJ3Tf41sHVK/FdIrf6wb8el8Rl9QAmELkg5X3ArCGx++aHh9tLWr3F+RBk1aoSqcvrsJn/phecNeazWX3MKWExS4Di2WqKAB8X3mv0fXuiR1XfPPyT7XiVCla8wCSp53L7jmy5C89NvPmIb9/Wdn92+6/Pu23/KzsdRi3jvzp7rV8B1I/F32vdp7NOkVBfM7etxDGo+bTPESf+U5BtEsYv8dl96Q6iue/tz/BzHl8bd1j5sKlvQQAXVPjyZuv4uyXfg6+KhF6d+l77/77852Vduourz/1RpefUK86ub7c55eN6StWn0v7Sc7Xndko+nYcIK3Qf/FLWA8dJn/4b1Gcn12qSwcAQWt0dx9g/Uu/huHBa1F6R5ywL3m9n6KEl+rjVPV08eIconrQ3MDO3OA1brTeXVkr0RNXrWVX/vyzG+RWP6AMV8+FzyqjoH7sjJow/rdottH3r7rW8lrMZC3WGK0Uf09cSw/Q7tPl51qQBGS83ti7Y5AzTY3RIYwGAMmWiIExWlehxl4z8b6aYIz43xYK/7K1sMHjq7MatdaX9tHgPb7z+Cn+/vs/wXkX05BdOkN31thL+1siNUrutbyfa61GB1LI9tgZx+Nmyv0S6FClhJ0QQkDQvIbQ/pNvtONRA2J8H/VqYPLHC330GeVF75ka1fcHEwOjenyjK3BISn0vFoeAJ37An1QB79cK/qdYkK5j0H6GysIOOOs6HNV1dIt6h8WfbZe5Lp9SBqPxR0cznO7P8c6yxe1Ni6kLMCHAa412OsH5zUM8e+U+lg/uYja5ljj5Cy1Fifbr38Tm4AjVe+9i+vAjlKsVlB0ApeDrGvboJtrX30L3zpfgD46uMBCvy09btlrBq/Fh6mVLALAMFitJKLsuf27lzAP/w8bhB/0aP9eUuFcVmJnoNNj0PR4ulvj2sxN86+QUp9vPl1Lourx8sRr404nGY/R4owt4PZQ4gEalDDw8tt7jNDj8OPR4vwTauv78kymVlzbQmolIQB00wXPHszmMzpIUbGl27RZtZlj0Gzz98McAgKoo8dd++ZcBRG/YZn1O9z198oTeY7Nck7vyjTfeJPG7Z0+e4wc/ivDJdujQJtbo89MTvPd+fMZq22KRIL0AoL1giHO12dJB8sbRAVnmv/CNr2M/BWHenEwxS9kKyqLEMqkm902JTMkPqxU+eR6FSj0CtlllOQQUVUWw5lSz0vHx7RvEail1QyKKJ09PcPLsBM+Vwn/5e/8C3TK6Y+cH+/j6r/4ynA0QIUE4mnGs2vmzNTH5Pv7wPWxSrq8vvP0abt08AgC88uot1Nm40AWQ360scHQQ3f5KAbVwHVeC+eWGDuyB65EjQI5vKQBxXHj7OvwQBQuh+IS7Xq3wIyEa/OhhhIWDCpg0E/Ki3ElMWwC4dfs2qhR3tFqtKNtE3dSk1jw/2MOtexGacEFhm3ISDoPFH/3pD+le7737PboelufkDb1544gSd7/XzPDxjRrlQYnZfA/TeYR3rdZojYLTPcyTjzA5j+1j7YD1gqE6I2DCwXkwsZJPwc6DxEejgEmCJYOURNgRkZWnOOniF0a7dyIXoO0jLIE4//qU588NA0HRkZ3IycttyTF2Ixq+gD3KotzxgMfn2aGl+3bbJYY2Pc8N2K4uUtuUWFJbKQwikfZib48gzv2DWygSVNTfuoXN/h4WX/sGbNvGvIZQMFWFYjpDqGsoU8CkYPUQAqoqzwkpeSKbT1MowAgu2XE8ZfRTaQOfk2srjTrwnCsLzltZT1hOQZc1mN7PngtvLXyClbU2JBCrywIICS4OHsEyZ9IOnKB+2A7UN4fTGYoEL908voHZNK5Ze0cH2D+Mc3m9bfE8icVqp1CuckJuBdcLBni9T/ZtOdsHlMK/1QHf3S/J++CFdE9wgg3sBgw2hQI4C98lBnfw6BpHDfvVyQE9796tKcFcs9mMGNnN/ABlE9vXzA9hEhRpqgblLEKyxjnUCT7UzmP/eWROKwB3V2cUnmK2LXlev1fUWKnY1vXsCCdHcb2oyxmqSaz70d4ebtyNa09hDGazyCA1WmEvsTuVUvjy/QPe22Y30CfF++dDgSGNq2pyCNslodrZOYbEHHRuwDYJn85shbcTU7HyPX7uEffHTMCoD+fHcGnOnb5yG31qBz3dgypr/EgBH15cwCxizGa3PsfydIleFfj6wQFKnxPOe/wkZVxZbXjuPX/0hDJXPLh/H02Kf3YGFIoBXVJIyPzmA3zhaz+f2lzDqAzNKzR73MedQLu08jS/tLLkafLWoXeMyGS+qjEGQteY55JSNFbiF3nS1pMJbYyFyPMb4dk0JpoJpvuxjuV0hlUaR9vtBh988EGsk3Msmg+FyYzVJYqqonjE7eCgEkt5XRg8KQ2+7T1st4VtO0AB22HAxXaNQQUUZYVjnfZYAH74fGSml4c4ZWoNpShsw2hNjRe1yBJ1uu/YfSs2nmAMmpR43TmHTZCbjRMNLJO5FqTyHxBg072stYRTW2sptsYKfRgfENNcILkuZZok4VKtqwqTpMdSCukQ0m7Kv0/XLngMKWZH0vNDOnpywl7WwCnLklLglKZCkRbqoijoe0+6FstkZN1oKjgREJ0LM0GRJkOqk7McgwaQHEJZFmhyYLs2UFV+rkFdC6Os5MFTCpd+5/gZMWkwu44zJOCVhuTkU9LfsiJ9nBCk+zu5nvM2JsZtWZZkoMlEvlpr6pfCGEp+7ILIjanGsJEVeU7twIm+vUhXFoLHoICh1EBdAtO0WHkPG1IcRlBwaVFxwijK7fBZZQxZjscLx3ZfTgSJEazyECYMDJHqa0So8I42dS+uI3Rn+LZXBJMDAq6S7zgaertQ5mX1kCEJAd7vzHFB/hm9rzHwkymsKTDY2M++KKDTRj6GT14OEv/sslMHQSTYvQE1h+KMAfGatiFuqhG8JsenCET3GME7cm7IgHOtmLRUaI0yzYeqMKiTUnzXc4CyQoCmAwBEara0iYm+UFqjB9AVimAn7wJJWkSIJkl5ABhIFsQjp1cL8AiKB2sp9o3GFChIrqegWMamqkiN39Q1ZQnQVY0q9be2DnU6+SjnOENBiInTc+vKMPUSCjls3igNk7XPtOGwFWNofdLGoEiHV6VA+mYKQFlVnAqwLBFS+5ig4JJGmjYGpkjGiSmgsi6YkNiBUiiznAkUarEf1YHnRhkCwaiFNgiprXRRQlcRYelNRXN5QEyTXmkNpTTl5ByCAuWLEHNGJnmXe+IYQ+dxoLShPgIUjKrpfXRe37MX4RLElwV5eI+M10pc705SCRczpJ022PQNAW8bTqPlAdqntDZ0EIwyQXzwonRj3o/2ikY1Ys0T+5YfrwROKWxNZHh2qcM6OGyCi2u2kF65/B0/vXy+iLXrcl2uy3W5LtflulyX6/IXXl7ag5Y9GgCwb0qyIvfne8zqGnpygd997QGODmI+vna1wsVJFKMr4YGkzVIAuLMXXbchBHzy8UNy6z8/OSVl3rJkgdG27WFTsrAff/gRHj2LDMHpbIoHr70OALAOuPXg7VinAJxvhOimYHlJhtGtgxuYJtHcBzdv4nAemUTO9gniAxbLc7z3wfsAgG7o8DSxOAMUOsGmeS70tfRkStZ3ZJLF97t5uI+9WXR93jy6CfeFWJflxSkeP4pu16auSQXaeE+ioo8+ep/u37eWDkbHN+c4PE5QdGmw2MZ6L/sB6iJDvgEOnMmhFIlbtcgk4EV6kbpm5WRTDHQysdbDp1Ntv/Xot1mxmvRrYa3F4jy6+r33OE/53ACgd47qLsVpB++BdJo5vHGDxteN42McHR8DALq+xyqJSq7WW3z/vdhmznsszvhdz0/OaUyFLXt1V2dnNKbvvfoq9hIz2PUdXIIjfHDwKZ5GFwZVkeAPOATPfXyeXOMA0K0X9B7NZA6dT2uGhTm99JphLIkg816OvF4jhxH3k/N8ErZDR3Mm5sLlPJnWZS+PBgSUIk+NI3jVWjql2r6l/veOBXC77YaEIvvtlrTIDICqzrlRDWyfvboKoY7vAwDbzYrap65n9O4xr2fy/gXHbRI8uiTyqrRGqDgBcp/GqwydDiIHrzIeOWODVqDrHT/cSL5BBVZOR4KMFBRUiJArAOjQUcLrQmlwPlq+r1IsRK+NhvGZiQz4gt+hVIlhGQLgOrrFO688IGjwzvED1AlS16qGVgmuLgcoFdugDANUF73wxhhUZQpD8AHr0yTUrQBf8ByfOcsevEJ6NUT7yEwebgCyKLB3gBi3RsBRX+OM4/jl6RRVesZJOUWfPFr9jVfgDmNuzKO7t3B4J7IfVXDQPucn1fCJ/Wq7Dh8/OU3tH3B8sSKt/knLzPxy/xhVk2DUaYNmmnJglhWqtO9MC4Mi5RYugkflUj9rhSDc+nXJnpr9SYEhhVS89/EjLNJ67waPkNZDGxyqSc4DWqJJ+Yj3vQMS3IauxfDJR7l1MdlwJo2mnsJm1uN8hmEv/n5+6ybqxMQt795EmebWarPC89M3Y/svLlD/4bdi13gPs4p77w9u3qD38eAsD8po2KyCH/gdnPP0nfVkgvO011ZljRvHmXmp2IgICr3IqTwRKv8qKPLU9fDIWsZGK0J6AIAFScIo5EISr0sptiz28+jASl4zsQ7UzRQ6Cd3frhrUe9EuWS4WJCDcdi0++OhD+s36yYbu9aC4TxmLqrLmnMpg76PWGlWdvYqgnKwIAc9On6V31YAQon+Z8tIGmmS0xPCk7O4tKOWRdZYW1klT4zjFRFx4h2Xi+irvoNJkVkqhTnEnPnh0LW962+2WNoK+5xQcjsMbsNm26Iecsb7AJMXJuaBgmpRQ2AeEQhhMItFxv90id0JVliiTq7ZpGkxTyoyuVRjg6V6UuLtrcXJ6BqQ72NQ5AYhazOkZVQgMI4jFrigKiqea1BpaZXV/j01KAF/siG9epp5sLd+0rAxUSooOrShBvReTxgUXk+ymChEAGwKyLEcIAbZnqv1sygK7phygkiu37xzFv7Vrh26TNlXLBppzDn3LCaH7tKCEEGRY1YiZIyHjsqzQJJhjNt/DQRrgi9UKi3U00IbBYrlcpWcEWMvvMQiR2e1mQwbaZt0QHCyhz5QvK/2er1VQZNfEzVbIIIhn9IrhtqKsaYlX0NA5U4NnPs8Y7vQjYw3CQBshB8JA8yIll4QMZQaG2M7SIJFg6RUQp4QhRu/asxHYdRQfaO3A0J1SbJhqlpgIGSrM/SwOSBGG5U1iVA/RPjl+TIXd1EYMu19VyMgM4lr8YTcwnkHJMNo4InzJkAvrcwWK3cKozQONu4BAC3xAQNZCDCHQOhpCoEMJABzs7dNacHRwhKZKqXGsyB6AFXwy0HTwbFyGcYY5n+cGAO97fnc7IOSsFwBnmBAlOCt0YyzDpaIflXg/ANgTGM1NY1CnZ7TKUFxxqBpgEmPpqtkcs3Swh+2g0tTywWAI6fCpDTpKN+cpvi81CvebBsX8aqPJcCwQM34AMcF2XgM1vFgP6T98rzyvtaY4KDt06NO+5VOsMAAEw4ZHADNCC89amFAaoWbI3nScsSTGKiYYtTAkLVHVFZpJ/E1VeaS867CVQZnTEIaYEB6I82pWxH2mrNnJUpQldO5LMWeCSB0YM12kTALDAEtJwg1lNYBSZAwFjBmjV7EnZeaHXS7qmAA6Pj7Rd3BF+AXG85fCArSmcKIKwDzHVwKYpAxH0IpTYoWA4Pnw4p2FVzw3aUgHoaGohNqD0dT3zjnKruS0Hr37y5RriPO6XJfrcl2uy3W5LtflZ6x8DpIAn8P29+YEOa6XC6xyYLoboAj+mKDfRvO+KRReu3cbAGDbHmePoqikDx5nFxd0306cnDeblj1odkMHNy1yxtV1ibpJzC8XYBOOUNUT3L8bGYXOe8xOIqSqFDCfH9AzvvPtb6FP7Mt3v/cueSZWb7yBW8cR8tpu12gTZfn0/AQfJHixtxZnOY2GUhRYDiio+RzZlt+/1ZA34fjoCGVytQ79gJPn0fW8uFhiebFI773E+WlkKM3nM+zvfSG1VSAL3w/s3Qra0dmiqOYUsFxMZiirefotn7SVs/ApZ1jwnnKfARjl3+yZuImiZJhWDSyM2m4HDEOs08XZCouz6Nmzg0WXcqcZDVRVDspkxmP0OvDJe9P35C0ZTk5ZGHC1QZVOficXC3z8KLbNxWKJx0mMeLXe4N0EcQYAzvNYHfqO3qMXeozddkteiaKeUL7D+XaLec4BBwfrM4O0RFVGeNXZHsPANHYtqEfT+R71QVVN6OSstCbPglecpDcoxZ5EpcAOmB0P4+g0z+dE6eIPUFDpxFtCk4qqthbZFRG8R5ug4eADum0W5R0zpUxVI49h79jDOAgY1Tsee6aq0JQ5cNvDp3mllEJZ89zIiYSB5NnL9+15vjs7kCdeKT6NhhDg0rO1Zs9wAPerhD9kA6qioC8pkUs4aC2gZ6kPq4DA4rTstVTwtqcTvG1XfN8wxPsBMJqZXwUUeaSCCnQsjid19vaanJdRAzdfeZWe8Utf/wblIt7bu4nCZJIVO7S2wxrbPvbl9GAJX0U4y1qLi3VcWzw8rFpRm1Q1j1trt1Aue0XYiwIlFMdGHloBa468vWMS09bzmtLUJaUierWcwiVv/3NfYt2m4PiLAdsiwrDaD9A2zUUPdG383FuLW3lNgcbszpyhQcu5KPeP5igTu3cyb1BOU9C/r1D6BFl5C5OEeTUCfIJtldLEuFMqCvXm+9453idP7uGkgkte5M3QEkJQFyWaEJ9XTaeYHMf+qOFhU95SPfRQ/ZfTewSY9XPyxt5o9pB9NdPJFDbXt+1hch8ahZC88pV3OPIpZ205w969BwBiWE2bBONLEabUTBqab+vNhjxlWrMX2AtS3XazxuLiLPVji3nyeHoAm2dP6b6haciNdfPWHaGRJjMAMYTunItwOaKnKydLV0qRF1lBEXM53kp4+7W+1HsuHXdaa1pPyrIEVLRLVABeS+K7XdviC1/6Sry99/jed/+I7nt6ck7vcffOHaqL2vFvZW9aXddokmpCDPE5p+9cLJf4POVzQJyCjdM05M47Pz1Bl5S+jbfkIrZDR4ZApRVm+xE3X2OJJ6slVf7Rx5z4eHbjBsch9ZbcgZttR8lpjREMS6NRpM+dDxRXYkyJGzfihHDOYRDqvUeH/AzvPCWFPnn2FENy4e41E4qlW6+X2CYD7ez8DM9O4iC1zmHVs/K3COVC3bBKc1GUKJJ7ejqZEKy5XrRou/i8k5PnePYk4tRdt8E6qa07ybgCRgw9+lxzrJAygWA0U1UwdXRzK2cQEp0/qAE6xcC44GgPi5uFomtreWhYxzILMk6paxUZaKslcH4e23LoOzICikLj4GCSmwl7TUnPUALCHQTbpd9seAP0AVUXF5bNtqOMCOfnCzxKxtp6s8XTpxwHpgumSBtIOMvRImuHnt7p4nyBOjF4YTRUdk+HATbExde5CkMfF3trB3ix8WjxHmVd0/g0hiUYRu7+EIjV5QOjSVGQUUCc+XqXGiXeSSJROgQgQ+UeMCUBJrR/ygwD3nts13LDrplFpjjtjR04XUzfs4E2YjBqQ1kegvdAwZuBoesoKcKLJxtQMRYuzX0BoxZlhTKxE51zIqE4y1CEsAM/0e1FfEpit8W6ckLnEHGweH/PBloIIyR5DAo7Zj862/F6MoDHdAHoHG6g+NmyKyM5l/s7hw4AwM3DI7rvaw9eRZPWjWqyB23K1GZsxC83a6yz4a2nWHaxzbbtFqdJVsDDjuLytOFNLbie5RWEjllMxZPGqmA+w3uGNkMYiQprcWiwAh4vC4MqbbpVUUEl2KkPBsiyC62DXSUDxg8ofM6G4WHXFDeBeT5MhIB6j42y0hdsrE1qoMzwXgGTGevewCTjuxgAneMLlTCYled1NkVf5Lm2N22oGSalQZMkidrgKLbDKI0qydk0psBhinkz8Ag6hXzYAerBHXoPvWXgfFZOqd3NUEaZGAAYLFT6/VBp2Hwg8CGq2QMoTIn9/cP4HTfAbKJBYgRsXpYlrberiwWFghgzClGlMgw9uhxaEwK6JJfjvMeFSP9V7O+PGMsjEdtRyWEOHjnAzDlHqgxSFD6OQf7lrqjzVWENkvmpxfyjePoQcJwM57ZtcTtJPXnv8d0/4aG+3mxpffE+CPkPjOqRiykKTJLDpu97tPnA7z1Wm89noF1DnNflulyX63Jdrst1uS4/Y+WlPWibLVvJ9yYTcj9O5zMKvnTtGj5Z4jLlhrMWqxTQ3a635A5XAOYij+G2ZbhttWkJ0mt7Sx6046MZkQEOjw5weBgDSouixNNnETI0Zws8S2ylEAJWm5QXTgGvvvI6PWO5WFKQ83a7xdBn0dtT0jhbLC6wWJynerRYZrFEYzBLpxSlFco9FvINwpXcdS2GIdrBDx8+JIv74myNNtVrcX6BiyQs6WyHrl+ndyrIixhEcPXp2TndfzDsydk/nqBIXpNyAujkEXNBwacTqnUKrc0eRGDbC6abZ3e0RUX+jSFUfK8B5MWwruSk2LqGKROUpQy557VWURwX0XmwabMLGwQ/xN93FBzebTu672K5oTyUWjOZom07LFI+vX6wxCaFGjNQZVCmhwioB0OFi8WSYMpt32GTYT/tABPHQTetsDdP7RYckVMAoKyFqGFZi5Ofvvx0pxQjSIpPakqBTs1QfHqKAd3Ca+ocpQ1x1lK79V0LlyCCvt0SmcR2HbaJ3GL7HouzxD4OgQKcoRTmaTwDQLO3TyfFoqrJq1g33GfeM9sSYAaqgoLO8IRSqCaT9DzACmg4BAWfvN5d1xLc3rdb2OR9n0znkH3G/xUJqBWQRWibesd7mq91xR40U448aJnZ7XzA4Nijlckmue70OMWMPgRmInunENIc0goUqK+1ESSrsTdAm0wwUJjk4Hgo3Ng/FGvFGVbp9/NDB5PGalU3pOE1m9SoUrhHgMF5Eqe1bsBJEnVF8LD9Nr8ECiGwrEu5FbCnTGkNgbuzpyAEBJfX8bG7UeodP7E8F7938RxNeo/9yqFIEPzWA1hG1ACLBv4kC8T66AoGYJzHfhqrKgRMyRMRAMPPcEHk5ewdTBqTe15hmz3CVQVrku7aoFGoTKjw8IHXp0HsZUPPJJhpXZGH//6tI0xTCIbvetiMJjmLjFirqaXQH10oFImRWdgBLsH/CgF+LZK7b/idzMZDJxRoc35BWUiXymKFtD5tBywXaS53LcKzh7E9vMP7i9j/4bV36J593xNcXZYla+uVGkZnb5Gjtdc7h/OUbHk6naEfMtM9oCckCYDlfVAG8EciT7yXdXxfBEseNGPMiBzzaSWMFk3+TMKdY61KHrdyLW0SclIUpYA4Az75+GNa23707vcIdTg7u0Cb7JTZfIa6ZpIjef+Mpv3PmBJ7ibXrnEO7eTHP7aeVlzbQWmE8Nc2E4oKmsxk16sb2xFhQCtTRg7XYJux12HbkDtcA9pKBFkLAWYIPgah6nHH+zrIicVHWmCea7PHxTdy+E9Whl6sVnj1Pycv7ASdnrCCv0kKglIK37BJdLBZwaRHebluSHHh+doZNWgxOTp/j9Ow03QhEiaqbBscHR8gv2xxM6T22YrHq2pZiUZ49vSDm4MmzC2zWsU3bbYu+zaroFiEtEpOGF1AZaHOeZCsAoEVPC34xuYE6delgA4qQYUIFl64Hr9B7Nta2Aw/iIueOCwGB5Q1hPUOcw8DsOec4nkjpGkViDildijaXMTcebc+M2slcxLaZDccv9hvqi9OTU2w2WaHek3HofSDjS2i1IvgI5aQHktAvEKnvtK8qFr29WCxJVnTbbrFe50TTAdnm7NoK8/3cPhxHAgBVw4uSKSt264cdcUYquzkY6esi1jOQARkkWwggWB5IyYIp7nMFl4zTdrVEl96j26yxTonM+67F2bO0YGNctIALtGHmWVmXQuixIkh36DuKGYmLeaqX0sJA06gmPDes5YNeAIuxRvgkxbusl8QiVoiMs3gvNvzSB/lGVO8sNg0AleIk78bUZNwrU5K4pgNLaFrnMeQNyXv0OVYzjAWP1QjacFQN5xhq9VZBFzmOrmB2J8AMNAUU+SCjFG5m+QVgZKCdn57T514povMbo0hcumoamHTgcUFj7yK282azwtkJxwg1Qql9qETCbPFOI2zXY8TK5M8DGXFBssF3yjMRCvDuxSmqNKbvVx5NiqWruw5lmmi+LIDU38FoIMHbxlvsp7GjQsBRFh8HYGegseADt2/TOVQmfm/fA12W9agqDHnO9goaWd7FwnUc15jXaq8iUzz37cFsTgbN/ZvH2E/yHSfPTrBMS7O2FiofLO3ATFFtUKaMNcXQwwvh5RyiAwBqy7GzxUWHkA7V/WaNTZrjJ/0aJ6lNVtsOJ4nJ3vcdzs/iHLfB47GNh6KvbB/Q/XsR81sWBVRq87I0KBJk2/c9jXvnHRYpM4L3DjbJkTjvMVi2DfRgeRyJsA45Ooa+x5Dnk7fIjPiiKGhNltClwjjA4ypY8wWhbQFxkuEr2N8KQNPw2vTFL301vZ/Hw48+ovt994++g21yUJ2fL8gWKquSDTTvKSTJxYU8tkehsbfP8Wjnp7x3v0y5hjivy3W5LtflulyX63JdfsbKy3vQOraSN20LmwVUixJVsk/7siKIxQegS5BhcJ48A0VVYz+JgvoQgI7z6anzFXkKnAfpeDWTKZ3mb9y8hVu3opBh09TEmul7iy7lQev6gSxepTTqhtM2nZ2f0QlrGCwzIwPIi9L2A4W29s7FNEYAgmIXaqk05Y/TWo1ylUY4KQVgLjkIe7NesxtUaQr8LU0Bnyx5Hyx8Clrd29sj1mdZldQ2bccn3PPthjxJs8MBLnvfZhamzKefQBDxYC2dXiILj08iTrDenEjvZJ2HJkG+QMcZozWhH8NQwmUhyUGj6ziY27qerrcJAlBQ6AcO7rXWwbusQxO/ASClc2IXUz4kWetoTHofiNEXD00cpDpilyke7soYivp1zpGoawySjQ8patZOUiFQainAQ3uG+mQgbAiCrRSkl0EEhPtA3uEAcS1+GxDgHHvp+m5Dx9Ch3RJcMHRbIrR02xVpFbWrJdoEa7brNRanEf5v2xaPH0cWdVAKIcHPUMCghRi1ZeHSTdeS52q+f4A6wYjaaGKGOWdJL00G9cqDrkKGIVIrevaM26FHSFCH7TvyoPV9R8HJ2hQos8dHQpzgeWkEo7Y0NT2/0M0OSSBBEFA0v7XygGIPWoY4QgD1Y3wnhsq1CLqPEGAOHxjgSEOPdcm0Ypje6AKTpGmmlWY1Wyicnpzw3BCQTDWbUPgFtKE11tQdiiq22Xq9ptCNoe/gHHutreL+zms1kOd1nmfMzo19yfUi50gIUMS0BcGgCoAkZyyZFov3t2vSZDvd+Mg0BjAtpqiyx72oyJtjCoOqymKvAYfJa20U0Io5pz2P29qw19SFnli1qhtQpf0hlIEFy01BIqbeKMDlNWLs8XQuUPdY6+B1RoECEcSqwqDO94Lw3hsFXWQ9NoWQhNZ9b3F2ckHt+fGHj2icbRYbQgvOFgP6pHf5rF1jnTxoZ0OL8yHOjW0/4DyF3zhnsdlm5i7QpleS61RZFDxnhEdfMnBloH4QxACtFZ4/j17Z6CHfzw2F/f19yELMbDHvu75DlwhyVWlQFhkOFCm4BDsTgvWevzfSi/yMonavKRpm/Bed10J4TKZzav/CVDA6hzwtsVpFj+RkUrPemQj3UNqgFyiHy+NR2EEvW17aQFuuOHbkfLkkJsS0rkmheWg3DH95hXVSWC5CQJNzrVUaN/YSw9J7lOm+3nuop6fUeL0HbIoHuXF4RFjxm2+/g9defQUAcHJygtMkFrvedFit4/O6rsPFRaJqa40bJW+mH3/8MQ1Ga7nTXVCEGy+3LZAgzsEOlAeNcjMiLgSzNBiVVjhIshwhBJyt1sjD4vnTZ6y83nOc1d70ELP96OouizIlYAac62FdnAhHh4eYJSE9ic0vV7xgf/TwnFyr070N5vtxgagnPXSKT3PewaelcbCWBk/wntiEUcJAxt9w2/S9pYk7LRi6LgtDCsvaNCirBEl3PdZpuAzDgIvzxPhxFucXbLDO9znfWdcOYtIpZOfufL5H00iLfHrr7ZYkWqy1sG5D9y0ks0YwLLXIVqDEdW8HqDZLT/QIyWVf25IEH5WvMZ/F/g7wUYw4lVLE73jveYMQjFeZoFuy4bxn8VXvPezAxmzXrug9tqtT+n27Oqff2y3PuXbNEOd2wQbaernEaYL/V5stfvThR+k9FFwzo/veX7dU96O9GcE41ZSZqfdfewuHifk03z/EPCVKHoaO4jzEVv0CzCHbwVpHrNWuXVMMW7/h94gHs/j7oqppvIp8yfG+eV7W/D5NzRlIDCqGOCEgSsUyG4PzMC6vXyyOHUKAI9JgQAhCmkawFCOzNPX94NkIcJrGYaELir0sVYnj+XH6LXKyAoQQ8OHDn9B9TcPi2qoq0KSYvtV2SwzZom4oFnK17igsYLtdY7A5XktBBT5IFt1WwEgMTTk/YARKUVcys1crRYxZpUCbbNrS6KfPxRz4ZHHGhu6mJxmUfWswSdI4dVGjLlLi9KJAlcI8Kg3cqdmoflNA2QdbTmS+P5mQUVH2G+gEcZpVi1kKKdG1pzyZSgVokw7HdkAfWEjbUQYMoHfM4uz6gUVkEZCqhVlVYy8JnG/aDhbpgFUplEk4XSsFdOkgsu3x8QeP4ne8x8M/+C6F/zx6fkL7xp+uLrBOc+NRu8YyQe+bvsc2x5wGjzZD0woEDWutcfM4OjQKsU4ZYZyI1KkpPkvAsWXeKy3W6ziOum5LLPayrPD1X/jVfCfcvXuHWY5gA22wHKu5Xq0ppv1gf47pJGVGKBkylCWKmo/Xz8vYk4CENQEJkdJvwcK68Z4c85vzsHrvcXR0m+5dVVPYFAr06NEnFCtbVQUdupVWpKDgAqBzVoHAYrzBe3rGy5ZriPO6XJfrcl2uy3W5LtflZ6y8vFCtsIrX6zW5KBGmJNzW9xb9kGE1Txo9PkSYDIiuTm9ZQ+VswWzLrfSiCP2dpplgkrx0ZVUS3BnAuQSHwVKdBuvoO7s6LF5ElDshtDlYhjuD5pBsH/iM7MHal84HgheiwF4+eeVA5QTP1k3KwRmDevP77e3tYZrE/px1cJbTTGTPixcpgWSRmU2U4rNQVdWoszBj3aBJDCHnFVzyzxul6SVCCLBKBNTngF4FKMPtVGgO5i4LTU6p+WyKOkEQxrA3bWM0QSwhaCiCvjggXmGsfSUhJahA3piiMJxmShvyoA1uoL6VfXzZCUqW3P4yqLmqCjSJATepK0zq7IUsKc1UUzcokrciBIeO0ceRp0zqksl0SxLaC0EKfgYaH8F72IEhfyeEQL13gggRKJB7lKIpSAKHjSK9iDBhhvzbrkWbYNCgFDqCoxROLy6on7Vi7aA5PEG97XaDdhPbpK4b9vh5P4Z6cyoercaQLwK9h/eWIEEpgirzk0p2lJHfEW2Y/x1/KzFVTf+O0ILQpBMePqqrAnLAcvx79gUGyGSAQSYGFB40BS3IHEH8jcVetdKU4kgFhTblyw0+YLMiFxr6oad7zaYN5/8LICKD8oHmsvZibXKO4KjB9kKAWHGbKSRSR4a22I3ig2XPgPS0aM1kB8WZe5VS5OFQGMNRnWDCDl5TP0X5q1zhgDYLLIcBZfq5dgZl9tRohW5InlQo+J4XwSPl6T0OJuwVLCYGKrE1t8+eYMjtYAqoWVx7jfKost6gYkKEEt53lerr07s/P2FP4OPHT0h9YCOIbcoYFMkbVFYVhaogeBLx9tsWz54/S58HuAu+79PNku71rNtik1CSpR2wTm3VI2DI5AilqQ2U0dBpHzBGkzi4LHJfUeC1SQz71I55fEhdMt53ldbkUVKJnR7EvOGlKUitZwGparGO8/64y8KU+psiqGDkDdeaV3V9ydqfv39VYcWESALMz7916za2s+iRPr84IWJU13VYJZRiNp9SmFNVsVarXAaUYYLPy5aXNtBqceMfvvdjaoi7d+5QLFW7WJCq8qSqcZBkCZz1GPqcv6/H+bMI1wzW4kcfRRdvCAGfnC7oGcFU0CnR7r1XX8XR4SEA4Pj4BqY56W2IInJAZOI9ex7hTiViwiTzK4SAdsMsslbssov1CjYNgmAU7bTGGJYRUSHzA7EdLJ4ldpU2GoWQH3j1lVcEzGV5gzEM9zy4/wYOU4LgDz/4EB99GAV77TBw/MjQMwNSK5I62K54mBVqBpPwnptHd3GcBHof3H2Aw6N43fcOQzIAh35AJ3JjjkRLlwmXDAEQbC8lBF4P9ytUVazHW2+8hhs3IkRzcbHAIonIPnv2DO+9l6C2DbA4y8xeR1AIEPF8gjg7TnJcGFLmwMH+BJOkylwUJcoUY3RyUpB0Sz9obLeXD2UJaw5CfkPpkNEy3Li5j5vpPaZNjWmGVeoSs0SJn8ymONqPUIF1FhePWXAwb4YA4B3DUXERY/gyl+A5oawdBqKpe+foOoQACLhl6DiOyA3MwPKO4dJo6MextlmtcH4S487Ozs/x8JNIu193PT5JMi0uBJwNtILiBx98QM+4f+8OZVp45fZNTNJmo6CxTWwuN/Qo09wwZYl6kmEnRSzJEAIJQAcRkwcA/Zb73/YdGZ0xNjK1jx2gsjSEBiqXIDqlCBKNC2ne1XngBqHmr0xDxr1O/wPGMizBWRS5LRFQEGTribUW4yBFbl+x2QCc5STOmWQoKIMqPbs2FfbKCJUPvcOTjyP0PFiL9z94n+57eDxj2O7efYJG1jZgm+JMp8qiSoKrvvDUBKvtBk9O4nqy2SxwkOQ7vPdYpBCD4IH1ugdtwB3PE689w5pQyIrpWhcwmqEzn8JclFRxRYACx9+cCFmBvhdhGl2PvOf2fU8yOd6tyIiDiN1DYNkgBWCWRYARcFMc/A5KzXlPp3tAEvWdP/4Q9a27AIDXfuFX8HqOf5tWOL6RpJ6UIkgVARDhjNj0DKv9/r/4XVqjf/Duj7BJ69CdB29h7zCuEeVsgmYW94SDGzdw42YMgdms1vjgw/fi9cU5/uH/+E/Tq3o8+v4fIq8XS4WsHIOezzQxZCDDq8bAJMNPG40iM16LCvPDqG6glaJQHKnG3w/C4BEQp1KaxafB7eoch7l477FJMidFX+LkJMejKbwePB3sgrixt57mmjEadT4E1xWa1ObRKEvNL+c0AvqO6+tk2EQlxLWrig0zJURyZX5RJeWLGLJHAI3HEID791+l5/323/hbLLPx/ziFffQJAODp0+d4lrIofOVrX8Zbb78Zf6AL6CrnQuU9VimFm8e38HnKNcR5Xa7Ldbku1+W6XJfr8jNWXtqDJt2NkpEmizEmuj+Q3N4ZSrMOLrl1bd+T58oKiDEguf/Sc0ZhqoGfb60lxp21dgwHZveo0JPJf8vvsAsbjk4mIoCcPGiFIQ2oYANlQQnivkqpkU6SHTj9klaKUqgY4c0BGBqTMFUAv+uI1Sfeb8Ro0QyrVFVJkGNVleTdkKxIBYbBgvcwOe+aD/CVzHfGl1rY8XVVoCjzCU7TCUtrzplYFAZlarOhLAQzSI9gsPE1n560Bt1XyWtRMZk6adedvRs4Oh67EoIC/Z70sjTroxVFQeSMoigYNg8i3cfO/WOQraLry1hGEel7Ec6Tc0op1udSEROQg5XrLz6P+T5z7k9DIQISLlCIkHV8D4VCM+4g66oRRnqFir8Fccwl0UcdBDtpB0eQbf7COnLZ3+TvR/cSdZS/DWHMuBw9+8XrBLTSP/KKEAREPL72DKEGELsLQMyHSLAMxLWABoUXCoH1tZzzBGN7z+mjFMZpeXwQ5ArPngjrHHQOn3AOBWlWWc5TGrzoO8WOLpXTWl02N7itFBTkckq9pZhFq7DbznI+7NxfTL9xX4m+l2NCUE7k1634fBCweedFLknHc9H0Ldw2Eyc22CYWkzEezk3oXhmMFuhevJfw/vb9gE56hcUbcNC4pj7UhhmJwXvyKA8D64GFEFmiDDUqer6Ra4HhnL5GG9Ik1IYJVMYYWhO1FrlUL1mLuO65PRUu/5YMHRn/xRHcqRA8i2jnlGTUNqNQjLz38dxS0Dtjh/XKPIUVqEtYnGL+XjJ2dgfbaBndaYX8fnH+xn+XVUXv3EwmRNIZhg0rD/hA11qJPemFlFWfBrK+WF7aQMv0fSDmV6NX1xpIA/H49m00iSliBovVNv7m2aPH+NGfvht/ay3WyzhRlNY4unMP+a1+4Vd/lTa+H733Y4IcXQDaRJH+8U8+IFrz6ekZibau1huC8YxRqBVDGOeJ7RdCwEpkRKinMxrs9R5nNJjMp+TqLquKGKtnZ2d4+DBCRb31xFIFQPlIAWB5cUYL9K1bx7Th7x3uk+hm23qcJfHQzWYzMr6I+TJYrNNCUpYVxcidi+Srr719j2JMfvkXv4p792N7Hh7dwDQxiobeEvSFAJLG8N7T5IpJtPkdCqGCL13dpnIEDdZ1hTIZa6WZYH+eEjpPDSaJrLJYLNAnyrdzHmWlqC96x0btpBYMI+NoI5nPKtQ1q9LnxbdpDPYP9lJbdrhYrOm+TtzXO8fQzShWjBWzZ9MaR4exrW4cHeLG8WF8v6bB/sFBfL+6wc0bUehxGHpikAJAJ8R3z7dbWgFkjFTT1MT29M5yrJgdSDUfGLN1TckiinJtdQMnLw+6RH7gpG7ounUemyzB0HYIqZ9rBbxzI76fCwE3KMwtYCWkdObBQac67umAaZp0U+VRZ2HPdoXNIoYrTOZ7lG9XQpzee3SZIRsCnHjXfmBxWgMt4t80VIL0irKK7E1EuDrPE+ccwb4hsJq5FdZEzzYPAogACgMFI2DobGQ622MYslTBgL6LcKAPHm3H4wtC9sKXPE9MEXgx1gV0OrA0xRT7ZWzz7XaDJ0nlfXAOixyDFtRIruDWK2/QfdddAFJfducLMkan04YSnk+aOSZNbP/zi2dYLlLIhB0wT+3ng0exn+MoA7HeASCm1E3zBAUZ914XUClmzuuC2I9eqfg9JAOSmiQgiPm3aYXKvxBRd70QZlUBKPOiZIEE4ULmaQyAFRDUmYhrfDzwXqvbnq67zZLziz57AiSJkbc+/gBv/eSHAIA3vvAOfu23fgtAFEQ+OjpKbwGYhlm8z0WS63/3J9/FJq3L06qCSWLBQXsSyd47PMSt116LdSoKktbYXCzwwz/+drxeLfD9xx/ySwkV4dowXHd7tkc5TMumJljTax3FfBEPjXnlUNqgqnk/q9NiPMjAWVHkwdBL2E+JXLtKocyQv3cwAn58+sn76Tsai/OnNAeO774Nk4y0tluQIWa7FWyaT67VCE1+nwJIsXPeO2JyB+8RWm7/2WzOByDvWUhZKzJYg/bEtJUWp0fghcCPcx9Xea0IAWbGbMuv/NzX6PrJ2SlOUujIH/zev8JHKSxhu+qxPIl13Ds8wNGtfbqXNHhl/umXKdcQ53W5LtflulyX63JdrsvPWPmpIM6rIIxduEayIvi37OaLed7yx2OfsnSJSigkQLAtwlXfCZdeU10ugVKkC13m2pNeSa0FDLr72xG0cTnkNoIsA+tfjZv28mdw5UcXL3xh5EYWTD/pLgYdPncgHZniRe1CNxD3veR5O+08ruOL9b00R+VVb0Xw3Djl0Wd9Pz/nStd+4O/Lfhm3SRh9N930yueNoLfR33ba51PghkvvO/r3LuBzWRHzTEC4ABi6VIrYshH+YnhDwr5aqRfRgEveg6aV2q17uOI3Y1jzs1vk8rYdhQi8UJ/LnrULtfLacmnfhcu//2l1+rR6cxF9JOb9ZTDIpSEQ8jpcUd/R55dW7acucjS+7C92Wu7PXgn16aDcZc+L851DYzyRw9hDuwvbXlnbzwivSB9esQdcvafKOTtaK0csdVEnGfVwdfU+u1wZnnDFPFHM2tV6Z83EuM0ub5ur589l15fpn106B3af9zmW3heaTGyA437Ro2/7y/aNnbp/Gsx8WXl5oVoJq33pHYJiur7FIrHYurYiuM12LYaOE/ZWr0f2wtQUuDed0wtOs7CkAoyIgVqvloTVP/rkMeoEeXTbjhSwN12LTYI5rLNoc+68ATjbsrCuF4ZHECN2PrlJ8KMNHC90//W7OE6sm6auiKW6uLjAreMII3jvRP7MQBBnALA/v0f91nacK/PD735MTELvNUKSOGimE+wdp/xsxR6aOrKNppMJZllepKhgksOzmjDEcnxcCejsHF0bv/P40TNkB2m73WKb4FitQPAOQhDQZ0DfcVL5I5EXsCgKmuhlVVFMWds0ApJjw9TbLTHgSu1RJLV1bQIa0cdebORBh9HGnWO0un5gGYoAekbbsZRKUZTEMg4hjNiaUgJjtIoxMx8PP/wIJ8+iuv6dm0e4lfr+4PAQd+9HWHO2d4A7996IdzEKd2/do7ueJ6gaAPquo3eaTljgNTgN6Pxsj2wlFxoo6nGsBt1r4Anf9/weylT0jMKwK14bDti7cV9jmnLW7h8eoUxQSHAOYcNiwbpgl7sXMYHzGedpnEwmFF9o6gmxoqOsyouGkfcB8Cy4q5CSUSNAylUMfU+/0/WExpUuGoql00VJcFsIgeBg5waEJMEQQkCb5l/bcgiD7UVuUQwUByYhY2cHzrnoLUGwwTsMQ4ZmPQYphKx5PTEiFKACZ19oigaNSknie4vVNo4RCw2k9a8uG7x2GOe6UhrNJAshy5gbYH1+SmvYxfKcaP4u7JMMzHa1hQ4x/+JqeYGLxyepnTw2ae4rDcwPuL+VYJ73gWNAu2BIsgO6IMHd0YakxuCLov8fG/NafM/qnga4LgMdFCsB5HhVwqfE4EEHCnPRKsaL5VJ5fooTDwyhITNwJlTbnXcUl/f4R3+MJx/EkJuP3voiLk4ik/bo5i38+l//m/F5WhPzEiHFEacGuvvKPXRJyFw7TweeslSkNlwYEDux7zqcP43ry7OPP8APvvW7sT36DvOK45Nu3XuV1tnD+SFBd5O6FrFmhsaYtZbGApToA8FgVEqhSGoIUonBOd7v1Ci/LUtVeKGO74YBQxZvH3oszk5SewcSsVda48Hb36B6H9x6E1WCOH0QMkpilev6HhdJPUCZEqbKMiwONrO3g4cZeF6XDTOcbdfRmucKTe1kVUARit3HAUGK3sjMCQp6dABmYd26qekWX/zKV7FJShCL83NSFdiuF/jWH3wbAHDvwT0U6fOiLDBPYTI+BAwjiZ7PLi9toMmicJUH5MXTNP1GRHoT9R2Mcb/wvStM3ugRyx9fbqmP67HznRDEqZWfpwIu9TioHRw+d2gI6vK65nfMlv5OXUanfvE3ddWzd4KNwdV84R3GJVC9xoGUoJk8+hzj74QQdt7vkusrTwNhXMfc9eHFE9Blp8Mg+uLTymWaZ599QrnEOyGCSD/tBMbJpK/2AL7cCUmodSnu11Erf8Z9xuPiis+FR4biNLwftS1JEuRrMfak7pH06l6m0P2pdc3vtPN52L2mel09B/48ypWOzFF3Xz22xRIy7rSdcmW9R30k431yzEwYmTlX1+SKf73EGB7P7/HfRvMUGPXFeF6OvTn5RiPttN02uNwZtHOvF+s4vsbOtXyNq5/PfSZ09na0Ci+rLI2Fy8bnZe/4wrN3+kM8b7d+sq2lZMSVe8Jl7/fC5+qFz676Trjkey+U0VDbQW0QXmpd+POa0uM18/P//qqxFv9G37rS+JVtJT15/Nnnr5Ms1zFo1+W6XJfrcl2uy3W5Lj9j5aU9aN/8+W/Q9fPlEkNiFe0dHcEkiO32vTvYS2zIuq4o0W3XtViuIsPBO4fNKsEFIcBtk4s2AN2CWUUQJ43z83PKo9d1PWyC5QZvMXjOXNB7FkiUJrqkiUuW3HboYRJ81vYduWDPF2eAic+YTRoMfYQCuraFyen1Bovl+SlVNWcVAIAfvPtDut4/PiCLez6fwpjYPpPpHoqk8Dy4gejW89kEN5Nrva4qzLPitS4QEkv1F37x5/mFhCDJ9/7kT6nN226AFWKE8lQgEzyrrHwNRdIYCiqK7abvRM9KvN5s1syGVHyyMKYkIcRhcNgm9tZ2u8XiNLaTD8BCCFf6guE5JY4aXTtQjEhwFjk2riwrVOk327bHahVdzd57gnpC8Oz23ylS1qOpK/p3VRiCj1VQxELztsfQxbHqJw2qlJfOB4NZs8f3Faek6eGc2qrQnLi5MELE1OjLj1mBc3F677FZRvZrALBdMcRWVSIJeFGOhCtJlftAs7J1PaFE784O6Bbn9NxCsCqDSM6uS4azTFVR3XU1ibAjgHIygcm55RQoqbn0BOwWLdQ/q5rVuiM0wSdYl5NsKw8lIMVMz/cBJAAZ4NEm+MVaIegLlllQ6El+x3vQomCtJYjTuoFCFbx36PvE3ESAz4kyEVCWzFJsREL2SXmMMiss9wFDZpZaYEhCrMrUUGWc02EYsGifUPvp6plsKb4SxK/VakXK7SdPz+CS0PCsaTBLc6DdrHFxlmUkAiZTXgcsI0UJDYiVbyR7WGlkcQ7rpZgv52k0SlEYg1IjXWto8POMYK3VAlItnKW+t3agNSXGQV7hARRFytw499luCpmpwlkHm9i65x+8h3+ZBM6Pb92GTcoDzWSCv/o3/1Z+Gm4cTGle702n6NI8e+/dd4nRubd3hDrlCO0BtGk+de0ay8R2Pnn8CKuzx+muAW++dpfquDfnPKmTZk7vaLSh/cwOA2V8cX4geaeYaJwlgXIOZ4Bjo7ZCwcCIpPJRLilea83X666lnK7OWVJyCCGgbOZ03SAJFmsN5zTB45t2gyHNV5mpp57MSdRamwqhiGuT9Q6bTRZS9vApq4rSCgezvdwV6LUI6xBMedX3cDatIUpT9pw4ytP7KbCnWhQZO64UoLXYOz2PyPV6jUXKfvT06VN8kgTAi+BgkgbX+dkpfviD78d3bRrcvX83vavBYRKSf9ny0gZalpoAMAoSVEqR/kphCpTpe5VQCIaKCamBqBFWFDnOIyBo1gIbFfFP7wOgcgobmVz6crjzitvQv6UrM/9dumqj2zth4cGPXLgjd7qEK8Xzh2GgZ2RtFGorw1o1OXbMBZaCUFpTHJ8xQkNFQMGyL4bBims21rqWDdn8bCAuCplajBBIcgMYu1OlPIVEHO0w7MR1xVKYgFCEVA/HWk+WF+Lgx3pvEp/YdVXn5vTyN6K/Y75xbn9WuWYX9O6Y2A3w1BJqF/BFLvHnsu8zBBRGxp6wd0dEEhloL2GKES4j22B3Clwxvkb1fAH+4HghilspClKiVwAspZ0JKCADloUloBnO0oq1l5RmKE6J+CuI+L4xBPViH8h3GP/z8+AeDMlDQPXjbwQxpjzyCB+hmsGTQSDHWoyZuaz9I/mJu28XpspQMj8jriH0wBGMPYqPHRkaHE+oxKYZxHpkrYNNcYq2cLTWOOdJqy2ocGWzql14ltYIhtfE2Wz8Xf56gvnoLT4bcsfOXBTzbwxQfhp8yHNc688eNz4EGrcejtY6by1sOlh02y36HFumlNC7C1euHc45MpKssyjS2hgN/7znDXTt7IAgYrGKkuecNI7itZhzsrFBP+fLnXEo18DPDhG4GjYdh+TwY3NbBh/EeqDSOi72V7neU+UUNLJeI4/zAHXp8xDGRtXuHi7nIjXQy2CLCrujTdxT7XyPn8F2giPj18PT6um9Z8PZDiPd0s8L7V5DnNflulyX63Jdrst1uS4/Y+WlPWhCmxFPPnmKIZ0I6ukcKrn1T56f4OIiwjJ1U6Km/H0BmQodfEAhTHE+TKiYCzL9bbvZEIzaqZ4sXS+TAsPBpaOqE0mVR2V8vBslVN2s12QpT2ZT9m7pgshm6+UG65RjcugGbNcJVnMO2eMQwOwyqMjMI/tfJGf31pHzf71cYZPupbSmPJt92+I0sYomzQRHybVbmIIFb/fYTfrJwyWxHNvNObunVy36lFBYEh0G26PLsJ0LxLRVSmGSRAKVAh5/sqBnNDUrKa9X5/y87SZ57YDJZIpJgtT29w9w725iOXpQhwXv0QtBX1kKZejs7WxWOQeGDpSnb+gs2nRMWa3XeJ4EA70PlF0i9oWAoJqGxs7NWzeJ+dltO/Y+mICc+tk7Tuork053/RZDYhKFABJgBIDJlEUhpWct5slM71fW9BtJdLF2QLfN4qgO3ZZh2/ViQd/fLhnijJBEEgiuKmI8VvWEIPyqqqifCl1Ap1AAPwzYVpwnM4g8oqFn5rPM+q7KGpSVoKxJbFGXLJIbvIuMKiRvb/byBoyTG4t8gJJ27kTe0qKakPfPFAzdBIBCARDGEjEZzrde5FsNjqDM4Ae6RmA41flA0IsPHtZlFlmAdbxQZRFsAJFxnEqNGjnZeokpqgT3dF2LTU58D07aPmw2aNtP0ucKLnsSlEaZWLeAQnA8vppZTaTJvt3ETCUA2kWLbpNg3qbDUGeIuUPVJDFwBXjL9dWC9QsJtQsYWWuwV0MzC176JFQA4DLBAdzOAJx0KYsi4c5SQKplYUYyN3ghHfa4vBicPf5bLpKpmFzu8bI0cGlv6V3AanMBAFg97fFv/uk/BgBMpjPcOL6R2kPhr/32X+O57TwtUMvzC2Jx1+UETRmhu7OnT7DexPnbbldYnMecje1qiWnB7fHKbV7L276jRo6J7OU7pfHqLCNIwcKm72mvKCykKApCWaTHJ8OVALC3t0f3lEhN17W0fvZ9R/1SNxMc34hKDGVV4uj4OLWNxsHBjVxR3H3lLeqDsuFcuGXNzHOFikJagtKkrKCDhUaChfsWzx4/Ss8wcPYWtcWt+wzfloHzEtvNBjbf1x2gSPuZNgUJZ0tkANjxzAV6jVGRY2pvb48zymhD+w60JxF15wYS0Xa2x4dJzLYoCqji87nQfioWZ9/16HOSbbEJ9f3ACceDowVUa4Uq0/l9IJprAMR1gBeQnHesqB9E4mEfeLAGhDEudlnZceNL96UTMJ6EHxX4GdY6Sso8DAPBht4JNtyOO3aXcSQeTh8456I8NgBTFkmyIBox2egpiwKsZebJyCpF7JZzgWIwnIA7222/Y6ClCdh32CQjwDmHPimZKwBDw+0/bUQi86YmyGO9WlF7rFdLGqDdbMCQNsmyFJvAThlprQlGoYRRI2KVN9YUM5T+kH8/DBZ9z4neexEfMYKNRMLeoiipj/stU/4jdPpif400i/w43Y9SvIHKuEaAX0SmuZGQo0xODOvowOGlseCckBcJ1Oa5Liqn08AY1jQ7BhAAuLLkGDSlYKssSeJJziEu5DKSSCxMpuBAKGPIyJKwexB9gyDhiCCuBQTItU9tMj5cSTiJ4ZQdxt3oWj4l14m1VIJQyo9jS4vv5O/z88dxUPJvIfYfvbpGPqgpGIJuvAcZe1D83jFDQY5tAwMjSkM3uV+A4Ljurhbsce84/MI6+GyYagtL0iQWVSkkDa5Ce0ZQDi+Uwh6ACuDUSaKBRtuMnLw7D7uKOah3YNvxenkJZLxTGMIbfz6Kf1QM0cErMgqcM9BJssM6C5UOL7ZrSXKj326xPD/jZ40GAT/UDgPFQspwlqHv4daxb7abBcWTDtsNZTAptMKkEfJAInbWOjkudxmGedx7uvYBtFA6uXeKBpJQW26r+P8CYha6cPL7WmuKIazqGvsHh+lzg9t3OI5uNt8T6wbDlzHdVXqegPl3TXl25Dg6zGutR20zHm58B+8GNvxEthZ5oNotl0OlO3C8+H4MTSrTbzFejxT3S56jznmS/imKgsbKy5ZriPO6XJfrcl2uy3W5LtflZ6y8tAft+9//AV33gyWvRt8NMEW0dI3l/HN922FNkZieMFJnLdoE3WilsT9J7IwQc+Tl4p0bedRy0UXJumRBQwpfkkcEu6rtfF9j+G/y5NDUNbmFvXXYrKM7eOh7Ej51g0XfZtZpoEB4hPFJzlk+5chY5ulkgqrO3iWDbB9rkQC3KDWaJgsUNiNSQXZhf/vffZuepQxb5Hfv3SFYuZluKaFvu+3RJlZlhKMT1OYV2sQ0UwDlIQSArn9MRwcp7BehovhCMb4z1c8WKH0W/TWw2YtkDIpprJP2HnVXU7NsO8fsmHZN/dK1HZ1Gh2Egr5KExNuuI49dZP0JGCcz6RRQ1xPh7VDUF9vtmthwfRthaQAolKU8c5NNRyfZTevw3gc/Tm1oMJkLNo7n66KohPeBXRGDdZSnzw4DeUm7dovlIsPJnERYKYXjW3fovbdTFpeVPvjt8oxOil3dUIJmUxR0HbxHmQSPja0E/O7RGz6j2RFbkk/nMEYctwGRioLjDULgwHRwkCxCGHkSZS5OGfCuBLtTCcar9x5Dz8zfAD6x+uQxDpCnfW6bKOKb613QtfeGPKb0HohhBD4FbRvvEDyfrq3L3ugR+ouJ2SfIY+gNpZFspseYH8T2b7s1uj6uJxo1ChshcR+A5LyB1ga1yJ+Y4XcAmM4nAjrXxHCd6334NGX7fpNymwLB9tgmYV0FkMdGKY1GCbZmUdH806KPI2yeGM6KdfrH3mmxjkLSSxQk80jCmrJID1rTMBPWOUuhKvEzRji0vtwzO/aaSrxTJNX2mr6mlUZIUG8oBvi8VgHo2gh39n6Lf/d7/4ze4e0vvEH9PJ/OEVI4xxuvvY5lyt/52htv4yjBoov1EosEcW66Hs8fRlhbOQedIGcNQHt+p0Ib2keqSrS7l5qZiqZcURa8F0JDK85Z3PfjeQaAPD8AsFwuqW2mUw7vsbYnD9rR4SHme3F/Lusa0xRuY4oK8+RBM6bA/tFNfoeKmbqDimtBblvqGRH24vwAn1ipQ7vGdhHDVjbrNZ6lHJ/aGFjPaNDxnTu0PujQIgctrU+eU/7O2VGPeprqPpmhnMS55RRgh0tQM6VG5LtRqIrw0O/t7aGu4zveuHETt25F6LVfX6Bfx/5WoUGd1BSggEDzD3jy+BN8nvLSBtqzZ8/pOhQlTWZnHavRKyCE+MLOWYRkPHk7wKeGs12PZYodMlqjusUT2KiSWRUjBgi7+xVE43khBz/CMcHwx857vMi6yrBhgSonofUeQ582vU4aaI6p/WJzGrFHkDcL6RhNzyg5KwFgyLiRcXJFoVAndmdZFJTwVYt4nYcPuZNv3t4jlfemqTGbz9J7K5R9fh+gI7hTI3d7QEAO2wshYAgMqW1lkmNhKButCe6cTGpUVWaiavgEbbmgSH0cWnOGCOdRlBz/5Dd83+22pffru442+8Fa2nwlO63vB8HmFSw5gBbS2J7liC1GBtPQk4HmBw+T3OCbTYlNk5NLB5g00bwyOEmyKlobHBUTesa8lkmIBRNLGdp4vA8kaTIMA/oUr9VuW2w3KfZLKYJLtdaYzfeprSRTbbvd0Pjethv4zJgdejLKqqZBlSj/UIBJsKbSBlWGTr2HcwwNayuY2iIGJijBtBojVlx2oPxRuiwxT0ZQrYTMRkxRw7BmGPctLQ9+DOOwsSDkKTQbetFAYyMnZ/EIPlDu5BA0DEHHFsakuL3gxJgKiHM3/qvUNcHK3moMqYFm+1NMZ3ETd8qjTzId2geYvIk5HhNKa5Qlw10hcPtXVUUH32AZOlehgGpivS4WDjZlPrDeYUibngIQaBPyI5hSSzhQy6TvBcHxMn7VSXhVtD9CGEExEvqWG50s0kArCk1r2DBcxSjkuREZflKV/nIYbwRxi3HroTnsAUCdxrp1Dl2WRul6PPzgParr408+oc38lbu3UaTr46MjNGmNuH3rJsVp4ZlHm6FsZ7FJhzADIJvh2gNaZLfQiusVBHXQWiuYkYpkfYxRtIcoaBhd0r2c48Nrbh8ZirFe84G4KAr6m/eO1pbJpMHNm9HgNEWFahL3Fm0MmnRtjKEY3PikgtaKHl5sz2J/FAaPcxY+rUFDv0W/jQfRdr3EehEhZqUNivQ8pRTs0DPEjY56v10vYBMsWtYzjhUrShR1skXEnidjYKWBpkRIAgAoz+9R1zzfZ7Mp5vP47otug1aMvbLI8emgiI8QAlZLTvr+MuUa4rwu1+W6XJfrcl2uy3X5GSsv7UEbsWbE5z6wqGRZVSRWWhYMWAbvgHRKGcoObpVFFA0mNbtEjZA7NNqQWJzznHhdhUDBkD6MGViXBXHGf45d4NI1P/o8u12dhc/sUOcIVpNnNaUU5zEMIDZpQICzDN24wdF92+2GPBNKlxileUntW1WG8isWWosgSPYKWQETVVXBummFoljuqjakdzYMFZ2oyqIgNqGzli39AApKj78RHhQRsFqYgjxoh0f7mCbBwb29GeZ70WMwm03ZA6JAZAUfAhitVNhut9Q1FxcXBGtaywGeud2BeJLNgsVFUWAyyXUPIz04OVajIGNuNweoNKYCn8FdYKR8te4AH2GOZlpjyCKPncXBk+hFjnAQe9Aqf0LXk7oRngEWeFVmC6S6bzcb8pr1XYd1EnGOp9GUe7UsMZlmbyizoIHoQcuegqKuEShoVdFJdeg78vwqJXPOBShPblPyuMUX4Vx9Q8sMuJEXSwFBZYjb0DyBFAhWakz7FtNRnp6jaK3KtaKvOWsJZpHvFOvC3rgsnBmR6+wlFR55w+0PU7J3TfG0kgKmckGIz9X0sREQbGGEB0YZFOm+dT2hU7vSBQilLGcoZvH3ZqZQHSX41jq0aRwoKIJ5FYBGEG1CKDg/pbVRPRaA7R18ytFq3QCXGHBBuVF6uswQV0qPhYInU/LM1LMZ/aaaTNljyE7nlM+SPWiSxMKueIzWW6UuZ23LInUnJcIhYU2tNRFdgAAnxlcQYS5yDRuxhB0zp1XBsJNGQJmQA+0damTYXKFdncfva43vf/c7NJbeef1/iUkKmJ/Op8iQ/3q9wWAjW/Ps/BzrJGjarrewXR6risI/gg9YLDh0wWvW5AuGp81IT0z0AcCp2rQ2tPfupq+Sycxzadst7QkSYj6YzzBJuYHndQUl8hr7IYfGGGwTI1Qbg/OL89ziMILA1gXL3q2WQ1X84GhPGfo1CUJ3myVW58+oftvtMtVbY32W1l6tcPrkYxojF92Cxlt3cU5hD+XkELqIfWSqKcqEAtm+RZtYuwCTb7QxKO++Gj9V0Yt8KVhgCnLHFhWjFGVRCv88LyVaKcpdHMLVHuWryssbaFfcWIrFaq2JPm2MJjewCh46TaLelBiaBX1fGmgaY3XjDO9ZMRnjhpCgtJ2BSA3Ke8ALjfwCxCl+k4u1Ds7nxWeHZzJyubNLOU/SSPnnQW2tg0l1bDdbeMsGGi3mkjbuC9RVghTkIAmBKpuT/gJAVZckeFsUCjnko6oMJcm11rKIZRVQV3FQOedITDgaOS8mn95tm9IUlAD5zt3b2N+POP98PsXeXnJDa7JFAKUwZOarZ+nQEAK2W37GxfmFgDLHSuQZ/ijLCjrHCBWG4u289ygKwXgUC5gxhtp2sJaufeBN3Ynxst506LKa+LaGy33XWRw8i4aYNgZFyfFCE3VG11YwXstqSlCR84bkGFbLBdarJN0y9MRWkixThIBJUgMPIUCLTjg7YcX5QiRA9s7SYjW0LWzPEioZItNKoc7J2UNAUYoxLObiIOU3RsYyzz8553xwwigLI3oWJSnH+Ohkior6Q0qjSBhUaU3zJG5U+TuOxD8BkHGj1dhA4wWx4pCCYOEzM9EF+GzMeGGNQObGBGdMQIDRAuKEQZGMwqaZ0JrgjYHLuFo5Q1EfxPqVJapkeLuhR5ViboL3sC3Ph7pkaD7ImDmrkWyIKICapWLcgJCNC+VFbJIScOWOgdZM6RnT/X1O9D6ZCmkT7jHrWA3eCZax9x5Ohn7YFw2I1IxU5JrnZbwjRIJ7rUeQv1yrsoEWxwSvF5Ikp6Tch2KB86A0ckoYowCtUoiAs3A+z9eAxTLHhqqRgfb3/rP/hDLmzGYzmnObzRYXF9HYWK0vsEnGd7vewKdDqlOAp9jQgNWSpW3KKfe5NIzl/JPGbAwLeLGtJPwsjbtRmES7oXXWuX065O/PpzhOa7oCoPN+pVTUP0IMNelT8KNSWrQTUFc1vUMrHAnL1ZocObYfyEBrtxfo2vj77XaF5cVJ+k6Prl3RswsKB8oGWoLEF8/ptKUHS+GP88O7qFO2FzcM1Ib9do3VyRNqmzzuTFHi6MYdqq8RDFTuEMR43LSeFXWDuokH6qIoKVZbQfG10pT9JoSAIlwek3lVuYY4r8t1uS7X5bpcl+tyXX7Gykt70OTpZzKZkHUpWTry/GlEyiJvPYnOeu9g0ueFLiiHIhA9aPkOMq8g4Nj16z0C5OlplwZwSYXV+PPLIE75o8LoERNw7HFj93RmcYYACnRUanwitEMP5+Jvus7AuxS4aOwIrqPTjwWJx5ZFwVBPDPcFABwc7lN97ty5Rfk3m6aiXKEIwsMQHOXfVEZDV5khp0BZ9EJAVcoAa3H6FG1ZlQX1S1EEICTyx6Cx3TCpI5/yuq7FdtOmRwRs1nzdd72AjLXQ5eGTjRRpjOh27iM1CmSWTMHMYFJKjbTuZPEha+oBOmiGqD0z1XRh0SVooqwqhAQnoVBQwksgvT9Dz8lqun4gL9229SR22m5bdMJbQuCe0uSVcE5TXjogYHF2St9fnLNY8GQ2p3Yoq4rSrhljYEXgbx4Lu0K+WjDuXAgMT2lDJ9Ox/pg4wYO1sZQ23AdKQWdaLKS+IHstgQhlKrpm0sco5Q0UebuC90RYiYQDzgnLaVbo9iPyiNKB3weiKM79GMC6cD79D+kvMlh9WjdU79l0GkMRAHgNyj3oUdC7eqXhyRvnMYjg8azBhRCg6HkKDo5yh9rNQO/Rni9J77BvLazNWk+WGOJBKdJ+UkrB6Mzu0zCCySf1CquyIm+M9OT6wAxCo8AsY81puqInlf4BL3Jxjptaja4vS68WP4/Xu6mP5HfGgtDACDMRgd80nJVGjq6P8yW9n/Jwgdd6nQWotafwD6UUbLdlT3zfou+SIPEwoEtuu+Vqg23Sley7DXmhg3OEcuhYmVwp+LzOYcfbFZg7H3XY4nVhDLOLR8Q4ntdj8g1/R3rQDg8PmA08n1GAfFNXhIK5YaAwCThHgsdeKQwqh1VoFo8GBAkO6G3PISyLBaceFGrz3ncILnnjnEOd6qGVovGpFFN/FAIuTk9pyCyePaYxee/mbdTpN2XToEzwowsB63VcSzfLC1w8jx40pRXK5FEuqhpd19FTlECvnGAyb9crdEk9YLm4wOIiwqWbzYbycff9QPfSpiCUAoLo8rLlc3ybO/fg8JAmcFkYMd4UwZJVUVBntc5ikzak4Bzq9HlhChwcRtd/xD8MTfSiLCmvGQbO5+i9UIeWQzSMhuuVJXgWRRy5IsW9yrKkwWyMIYOyLEtSy+/7HmenZ6lOnhbNyKDhAbvdbOheK2NRllmFuCQjcNI0MCmWy8KhTS53o5VQlGaI85VX79P9v/KVLxLUt1ic0ve36w4uy2Z4h4IWJ40isxS9R1OLhY+aMow+l3+rG4YcjfYA4jPatkPXJYmVfkCbYEJrLZbLFT3vfLGmZ6zWG3F/hrRHjEylCVJFEPnxCmbdeO8JBpN50IBxXtSxaCMIckxpmuP3bQ8kY8aD2ThGFQhtMg4MoEUi+kFS2gdHG8xyvaVF8NnzJdabnAidW7RpahwkSCGyalOs5uBxcf6c6v3oo4/oGU8fPiTJlXuvvk5J0ZvJjGLYhr4jynm32WCV4kSCDxgEQzMbUkEwLwFAFYbiuayT+R97/p61gM5K2ho6L6hao1Dp4KUUinqSnoEEQSTDo10j7zx919J9i7rhmC+loDM72Dpq6xA8wmUGmuNVwFqXjH1AGcsQJxTFlwWw1IsPHi4wczMfBKECH9gAHM+PaUzdPD6iUI7Hiw36LPIJIGTDyBTQaYO2tsOQ4868RyGY05oMxQAbPB2Ct+cbytN58fApxTO13iFH+RwcT3BwmBTWtYMuOUaSW0dBl5yQu24m9B6TyZRg8LKqyei3nuOilLPQgsVJ8LgPKEsR4tGOcEa6lOEGLxY2qrSIn5MQpzTKjGLY2wvGXd8PXF/Fj5dPlRI0Q6/QK459rRy/36zh+dCvz6num/UF8j67brdYpzH59OQ5FudxrTNhgCFZnR6TaZoP8TRPlSKGH+LexgcTTXvhSNRXyHJY5+BEXmo5r/P+LNe8zKAHgPv379E9Z7MZtfPefIZZ2h+WfYt+G8fq4IHWRyjSBWDrOWxBBrc1lQgpEevi8+cnQoDd0Jxp6oJi3nRZpAwHUQx/aDtqnKy7HELAJx++T/f98P0fE1R74zfvYG8WnRfN/ADT/UMAwGqzjUYdgOWzT/D8/XdjGxUF9tN3iqrBWuxHXh4gDA+ks5PnaFO9nj56hMePYraDdnGOLikflJsWq9WG2jzbO0opzEUS+5cp1xDndbku1+W6XJfrcl2uy89YeWkPmhRxM1pR8GddVxQYO5/NMJlkyJIhQBlQqgJGYpqkmRMivJdPP1qzLlJkaeXTpdQu+byvu+PyFVayMYbhoUJBG3F6yfpMSjHbCFI8UAbTBhiR77Mo+ERRliWKghlfRXKn11VFrlalOdVGEPnjZDFCXNQY1m4qCj511XXJkInvKYhXwZMwYKxTZqopgqRj5SU5gutQ10accOVX2AdZGNY1QtDk3nfOk0cJyAKmL8IRSmnRx5x3cnT6DkwmGKVk2mmvq3L2jc7Uo1O+RoY/Yh5ITZ8TS0dhpBPWCwYpCvbEOucp9ZkTQe1R5yt7UtWoHfOcUQjo2pz7M2C5uKB3k94mZwe6r7MDEVRkajAtvMDeewwdsx9lN0uYON5EXmaIM5D3DophQxUMvM5w/PgekrRh+x0yQO6UnX6j2SR+P/byCRgH6tLbeB+A5B3RImA8ClyzV5X1FjGa01wUoQRKKcxmM/Y2Kw2XySbZ8wXEwHUaIw4+65q5HiFD8EEwagEEyDpySENdlATPbYoCIUFFdaXJM141BYoyM0gVpwJTrJUFgBidUGqkVzbqNK3o30pTNaC1YufPTvz06J+fsjBL3anLyu7HjJyMcy2PIE7p+d1ZI/gPgsUpwla0yM048tKpXWFc0OCy1pIe5v7+HqVAOnu+wDaFcJgQYNLzfFXBpn3RO4d+ux3f94q68xzgf8QqMJzLMKhwx4HbTa6NUqh2rBfHumn9MGCbbtpZiz6tRzYoEEIZOcepBjtrrmB8R+gxQ7iCp+1Zj880FZqkC1jUFZpEoOmLntIQhhDQEZlCRUZu+td0tkfvMpntoU6abKaqkRlzg3NYJ6/1er3GMmmRVXWN2V5E8FQIJEqugLRup3nd81q/PH1OnrZ2vaScm9Y7sQ6A1n2lNSE6So/h4JcpL22g3b17m65Nxeyr27duYTKN7vT79+/h8CC+8MOPP8KjTx7GF9lu0KZBWRYFbiTlZaMNsdBCCOgHVgwv64qXq82Wrn0INKEUeFBLEVJG9bMhxUX+piw51mLSTCgerpmWJMBqnR0lC87pzn1woNxbytPiGhAwmTAOP582NNEP9md031s37mCe3LF2GMgo27ZrLFfRHevqio0CRjgxmwmR1FnFSel9RfFu88aQMfns6SlOUtta60igtSxL3EhJb5VSODyM/RLCOE5J7uLKeFpEu7aliW0HT0z7vjQUl+Ocp7iCvh/w0cfMoBnEZh3lMNKNLRvhZVmPRBSZNu/RdyyymksIYRwXOWKL8QKvtE4xj2MopKgMciheUxrMZrEvZ5MaU5IrALC9oHudKqbKzyY1GbDrllW5t9tVFJhFTMTcJNX4qtKoaq7HNgk1aq3w5NHDVG+P7/7Rt+k9p2VJB6Sj40MgGdyFCXA2zrOqmRDDKB5w4ljruxbLxTnVt654/l2WlQNIvZ+7xg4EnY7CCnQB5XLsXokqqXgDGDH81iKWToPbHUXB0iwi4MB5zzkU7SAYnmqUdzRX0AtQoBPwtrJebIAFwX7OOZ67QVzD0yENYNkLpRS+9NbbNKcfnV7QZrNxHl0+iPYrggyd7aneynkUFL+oKE4QAMqGrwuh8Xn74IhzfF60aMskxnkUZTuAeFCuGz5E09atFMGrUYxaMCwLnhuqINQXymionMFEml6WDd7gpdI94Il8rEZZIWTMzW5uRzaAxocUGdsmjTL5eylaK8toTIg/ObF2FMagSm2igudYTa3RYErPGihsBRjE4WW9XJCx8fWvfw3TWcoMMYDYidr3BHF6N4E7ivfdbjb4SEB0O5atCMfgP3nHB1n5UlppmBzrqTSQhGqdcxQDJdfyGzc448lqtaL2GIaBrp8NHYq0fnVtSzCld6ykorVBM+H5DRGrGUTWDy+uS2Whk8U69FsyhmbHx3jl1gMAwGQ+w9GtmJWg63s8O4prRd/3+M4f/TG9z6blNnjj7a+zgPA7X8Nhsi0mBzeAJG579vAhfvL+T+L1J+/j4Z9+DwCwf3iIvZv3AADGBmw7cegGxxxenDyig+F3/vU/w3nK1/rxj76LRWKEWmXgUvtvPbBN7TY4h2LDGR4uO/59WrmGOK/Ldbku1+W6XJfrcl1+xsrLszjFScVZS+a9c1bkpBTWvRYicDvsHToaRHcWfV6MGEYlpzQZabDtuoEF1DEyTy+3Va9yrY9gMu/H3hY60Qm4RQTtj9lJ47aSrKQR3ObH6Tgks1SKM45fm93WuXhRV8mw0xoE4xRCSyySJBKMrJhQJFlZMVBXNg7DLS8igy/CzVorep4CYAlqGzOxxrDmOMXL5eRcUQ8Bded2uOx6BGGFnZOo0AfKcE9T15gkL2ddGkwncUxOJg1BwFoz5AVAwLbR48PpKYVGoDF06jfG7Pw+CWUqxWw/qJEuHQTDclc0mmCgMIbHr4J9udGxk3pJMnfH1/w32YZXzTII8VfFcyns9IHsf1FPCTWqnX6+FCJTSvSx8PZCifVBgfP9eJCHPYRR2MJo4IlnVUIMOAhI1QltsBAcsxyDHqW4CpSeacw8z/qEsS+47rXwQmldUEogXWgiduiC47NHcKUou+2U31vRf/KrMns5atqB2wQZZnTj8cV54pKXBynY/dKqXF0vyH69au6P+/6yMfHCM66gje2GRFz2e7keKQViHQIR4sxzUwu1gumkwTyl2tO+gk6wthsMOsV5eEUFX6gx13HcJvJvtB9d+ssX19LLSFJXldg2ch6KB4i9eudXo9/v3PDSOtGa5Txs8lRaa8nb5x17vLXSoxCrieV9oJlMOF91UUCmaMp9bAW5yNqBnmGtYy+pMkK/VI32qqFnJMQOA/Whd0LkWhBgYkgJr/Uy36e878uUlzbQfGB35cOPn9LLm6rALLl47969hapKCWVnE9w4PgQALAuNto0YcFGWKBIeb7RBPWdW0ZtvPqCXfPL4OblpL/7tvxPYrQI5/oTbWrIwhe304guL3IySHbNZb6gTh0GjSDjXdD6l/Jabth3l0prMWPA1q8GHAPjAm95kUhNjpS5LYnFuN2v0iQ1SaGa1lMbgzs2Yz62ZTpjFZAy9tgvMjlmvzzEkhWc/rAmmOjzYxywxQ+tCYVrH+69WW5ycRniurhWODplhsr8vhXcZJpSTruu2tJC7wcElN35RaGI8al2huhH72FqH1SrCbm3bUxLZEAKahvu+qrhfFosFberGGIqdcM6x0S6RF2uxXjM7VBrXlRBOHP3O9TBpkh/u7RHL6ud//mv45je/Ht8DDlWKqwrOAkk4MQQPb3kc/PhjhjjPFht63rRiw/ju7VuoKwGrpfnTti1On52mdy2wv39Az7g4ecztb3tm0lZzipd0w8CSHcGhS+Nr0s8xkUKuFJMUAJ+gYe+xORdJ2EXogmR0IgwE6YRgCQpznqVKlOAKOu/QJTg3hEAClyGEkQCuqhtwUvRApwW9cxjMdfGOc0FCAUrAXP2Q8/mx8KcSeVHjeJYs4Qx782s656BCjqPzUCmcoSpK/OJXvkLf61DT5v/R448i8xdIDNw0PluWCXKeQSDlA+31znn0LefMnGQjEApf+MLXib1cmVsUR9aqFl3KuWkaD1Mx5C9jOFkmSHE7AShocw8k8QAAWyEjse1bsalzHNEw9Bzv6DxcZjIHBeWkQTk+aOciwyakjJK1DLFJiSKl1IiN+GnxaJcZJNowjBosG2Vd12G73b5wXwDEuAsh8G9DwGLF+98H779PcWe/+Vu/hVdffQ0AcOvgENtNvK9yFopCTB7jvR9F5uCTJ4/xkx//KNUTo7zBEGE6rciFXAlVAaU0Y9Hi+1BmBPvKuuc2lG12lRTHtu9HWRry2NFKY6J5fFaG7y8PwJ1Yc6SlPRFyWud9T7FtpycncG28ns/naFMMX1EWODyOcGVoAn7l136N7yVY1Ec37xLjGGVFzpy277FNArqfPPwI/z/2/izmlixLD8O+PUTEGf/xzjlWZlZVVlcP1VNxVItsUqZJ2rBsCPKLDUMDaBsyYPvBhgzDLwZs61F+sd8EGxYMG7ZkmhTnwWCzRZHd7O7q6qquOTMrhzv/85kiYg9+2HuvteLc/8+62axuFqSzgcqKe/5zInbsce31re9b3/nWNwEAi+eP8PyTxLycX62wd+uD/Lwadn6bnjEZ8X70/ve/R06oH37rm7g6PwcAXJ48Q5fjhKv9GqP9ZAcdHR/gzbdSVgKjNSYi5EnKir1M2UGcu7Iru7Iru7Iru7IrP2HlDwRxDj2cQ7flda7jiOEp5SbIYvtz+vfAa7rlsr/BbXuTM1dtfUlqqr2sC/i6+l57/63f3HQ9bB917XsLNHHLxXyTr3Db3fwiRCmf9WmwweB6u2LDJ17zm/iZ2/hFpOm6+/7o+m679uVwGQydwZBi97mE3bbf49Pc+gOo7prr635T6nTdfa4r8ZrvyXEkIZIX58mn3HcAB+efx23G8ot3UuLZ6kfMq5eBp35k38brP99ep66dAy+MncGDy1c4EmNrvg29Lltr24CiRD+Rjx6ix7KPBj/5lHlNc1n0i3zGoB5b73rdfbbqoqIQ741irA/W5K31+YZ5+S9aXmas/Iv+5lrYfFBehGMpjCLK33M3Kq1y6rDhfbf79WXmhlw75Dq9NawGc+C668Eb3bB/3VReADVvrGe5yv+NL34fEMNl6/fXravbtdwm6koU7brxmdrgGpHqG56nyu+vGffbdsnLrOP8+c1z+qby0gbaw+wWBIC9o2NyoU6nY4wye+jjH/4QTx8+BAB06zW5/9q2xTrTZH3j4GY5R5bzePac8wq2S3brfu/990gQbtP3AOWtZAmLJI2RN2EfEErMDsAilmBJEKUUmppfOfoOyJPo6vKcGvC16R0c5MTf9ahG+UkPj9hl1zgUgsgRSPkN0wfU7+u+o+eH854Tjc/3MclKx227xrokea0NJtOshqwNx56As+f+yq/8KXpUXa0JfvJtl6A4AKFfYeWW+XqDSqfPJ02E38tqzVqhE2xE3wm464axVDVjkoiorKUFJ/gAX+JQQoeuK4KrDuv1ZX7PHt6XTAKAtSOxH0pIVdG7uj6gyIXIHHMQOLaMCRksngCNISAx3Uof701MSnoN4O7RGHv7qb+PjypM5+XZG7Sb8/SP4ICY3kMphcmM+3ux5meMBFSrABLfbduehEgrE1BnRlPT1Hjj1SQ87EPAZiMYjysWTjS1pcXAa03hVG3fIhZmHRzFw9imwahAU5s11llJOwiYSWmgmrL7/dnjR7RyBsfQlq0qVpmvapbsABfvHeX+hFJQGQ6GUqgzlB0jy1AAQOdYmNNYFo12zkNlHND3Pc3r1KZ5vBlWF48hoMswb7vivICKhwi0FonTdUWQ4cDw9D6J7yKxut987S165zv3P5+eGwJ+/Tf+PsWUbbqFuIc0Dvm6qVjmxHURXVckUjyKlqdRCtOc31VrjdneK1TfXsgnhGqNEBK87hXnd4XRQI5NC4iCeR5SgnWaBiAZAAEAAElEQVSqmLiXuK+cJ73reKz5jkIGvO8RPEOcJB8ADY0SI6RgRcJsaySEd70xVAkBVRnXKkWntw2Nm5JO92KsxBiv3RSvi4Uqn0tIVsKP6w2H07z33e8RrHb2/CkOD9KCcf/2AWbjxAqUB+rHx3sMl4v7A4qyngBJwJVEXlshzu65ztbaAWRZ4h9NZdGMuN3kfcM1QYFN09D9q6oS1/W134dYV733uMg5ZEOIJESugMxo5bqWel9dLakv+76nteNis8S6z2EPNuCBSjCjDj26y7N0X60xydlzlFKYHTKDtI2clcBfLWg/WZ2dkMju4x98Dz/87nfyfTtUGcaumxpNHgom9vDPvs/3FSEsy4cnJJvx5Nk5zi7Suny66rHo0wPvVhq3D1LfHh2MMM9wpzGG4N3t8fUy5bPlHchFYetUUDwVuP4ke/0p9sUiJ9QLhuk1z1MQtGQRxJh+/OL3b/o3VesFT8qL73rte8Sht0bJ4/fg/XDt5zc1Sfr6iz8YpD2BpKjLQMzhTdU17/ap5VPqOvAnXBPfNey7Tz+lfdrp8oVHf8aT+Y/6vgwCHl5fe7fB9R/gMPSj6yH6cujUueaE/xkqsO01GQwR6WW8YZ6mFPc3eG3pXp8yiF+2XDsvf3zeGL4nPs3xTOW6NaB4HliX8dN+Xy6wNS+vf/i2p+5GT/mNJ/T8BPmIm7qF3Bs/as7d+A9xdfP6/lJr72ANu96o+oOUbQPtZe47WMdf8MDzPse1Fb/FNiGO73ndWvMZXuTaufEyy+y2ASo/v65tbqrfTcbucBzcWNVr1uLr3uf6dTVeMyaum0/b69x113jhva+pTZ7forWuudr+h6zT9SSN7euXKbsYtF3ZlV3ZlV3ZlV3ZlZ+w8tIetJHI4Xbr6Da5WSf1GJXKSvHLFmu/phtPcxJa6yvAZ+mCUGNPJRej1gp7Oe9XRMTF5XM6pK3bNSWq9kohZq/R/GCOUWZF7M2n2JtnhuVyhdPn5wCAvnM4eZagO6UwSAJ+uDcib8DefEInnq7t2LW7uMC6T27bVitwKkiNgyKBYSuMZsnt6kPA2SXDg61kJ9qazfQNJ4TerDqEzF6pNVBnll0VFGz20tseQBblUzbC5O76M//qv0L3vzh/SBDE1/75b+DyIrlmT5+dYLlILl7XOxKF9d6JZOKamD9KqQHTJrliU50mU87Zd3w8T+8EYFxP6POu6+m+fd9jvU6QU+h7yoPW9T3Wi9QvESrlOMvFBQlxMpPLh0AswOADufSH8EcYsA7Zi6ywN2cI7+7dI4IcX3/lAOMsDHpwNMG4yGnMelycvw8AMFajHpXOj4gVM1BP18wWXG/26RriBNkK4cO64lyj00mDKgvEBluhR2p3XQF7YxbKDOIMJ7MVTCfMTO28R79Of5vXDazN7NmgqA9WiwucPX3IFcxtpZTGKCtvQ0XU4wl5Sbp2wzAXNDJ6nejvhaUcPAlzxuA4U4LSMFXJxakRB9R3iML5JlEFxBIKIHLv+r4jYVytDLRhVnMRRI0xEpM1tELY1DHMo5SAi40htpfM9ToZT7F3lBnU4xnu3HkjtaV3+M3f/Cf0rNXFKcr41NbQO0ipiySCnTOFNCOMcjiDqwParP5vrMZ4NsrtF9A9zzk6lUJtGZK9uDohyHLjO2yKrE7rAFIGUNR+EWDoMwKEh79w4me4JUZNa69zjtapJCOSIU4X6PMQZErJCKdS+2utUDciT63j+bctNMuwnaFsKNKD7RyPgxiHycBvYiRuQ5/XxQ4lNni49jerzD5GBOf9BaDFXHz+lMNyPvzgA5LMmXzxi5hNeO0vpWkaHGVB8IuLc8Hki3CFgQ2gayU8y8/TWshHRA0Z5VH61Ds/YKbK9int1gipCsmotULcV0HD55QBTkhordsNLq/S2u29xyKvf1pr7B8c598Co9EetVQIzBMezfdp7MwMyxrF0JPQ9qLf4Hd/PwnSagC18EjFkuVGKbSTParvyll6Rr/paT26ev4UbQ7rePToER49Toz4g/kYr949SNcHB3jrtQxJq4h9y7Ix69MTatvnDz+iBOkfP3yG04vUZ/Nbe7h3nPr1jTeO8frrqR2aZozyYyX/+4cZg6bFIqu1Zm0P8eAgYBKZiFyDB7h0Aye9reJG3tKyilshrPk3WmuK57CVRZVlG0zL2LzT4Ua34iC9k+Z0HlquDDFQbJqMkYWOaUHO72T0sE3K9wfyZYICLjfcGCIixakwgCTjZm5yoUqq7qqqhawE6zP1QuOl7xxNupR2q2zQ7O5VUAM9Ly3aMIRI/STrkbTuirSGozZQSgBiIkAzhCAW07jlD78Jl7neVb0dCCu/L+dBSqWUjV/L47auLcUN1pUheRitI2LkiUrq9gFiUdnOTyGfznCgrFeI7K6OUGDZdjHucn3pWkgMaBHLk2QU8jO8FEtQkDpA5XOplYcoXfdsIMUC0w/c9PI+vPlTL4nJISHSbUjhmssX7jX8g7iXSHcmUyFdBwFfex/xHYYAw1AzUUCZpKmkDanShxDp8CEDjunng1tdN09Y7kHpNMbS54bWr+ADerEuSphkONavf+/tGcMBzuKPLzRTGDyD+ni7+yJfixjswfPkmFDqhv7YKj86xEBt1e/68jJQ5qf9/rp2xlY7S4g/eE+V9M6RMRRueoZiuRA5FuJWrNeLMOL1kBl/X35naIxufybfc/t6UFX5N9kGIv7Xh5sNXAnnyrUmrVll3LMeWICnw0TwnuS08gygasRg6Hqj1tT+614TGNmvOzKq16sV2hzD27btoI94n2INO4UIozw9Q4k5Hjzr/8m4Pyg10DsrMlNG6xvXhM9adhDnruzKruzKruzKruzKT1h5aQ/a/oS/avwahUO1uWzRFs+OsajyCX4+neEwC9g6N0KfWXLaGBRPq1IRui/inxGbi6dktDeqg8oiofORgvM5n+VEYzzR9J3YJtaWdhtUseQfc2gya0YphQm5zxV+5t23yKKdC6jo6vySFI0rFaGVPI2ka1s3aPI7aWNR0/t5bJbFvQxcnp3TCbY+OCIvkzEW5eiuEcgd23tPXhtfV+QyN9ZSYusQIlnxJfcmABwe3qUT/aavcbFIP/7+B+d4/Ci54oNjV3XwPUKfxQCtxd5eYcQMT2ld39MJ6sGD+3QCbDcKo4bzEpZfbDYtiSu2bYtFZu12XYdnz1PuMueDSJatgKpFOQEmRlm+9k6oQIMgFnnC1QoY1aVdK0xLklyj8OD+fq4f8OD+nE7khwfc3wf7mqBQUwUYk/OTNhr1KHvWmhqTzDiOAeizmzuECFWz4OqAzRjYz2OtJm9xVVV0Wtv0DqvTNG6bqkY7Sb+wlcH+3jg/A1i0fIRtaoZOWu+RhzcmowmJ4VajKWxOPLzpWiyyeO9mdUUJfpVSxHxWWkO3DAN2jt9ECSae0ZoO6iE4uCAhTqEsT9WNxBZVSielVvoLjzEvPQiuhyrwdS+Ygx0ng9difVExQguvFsNffOZ0zoE0LUSeUW3YU2lMDWsSDDduxnj1QRKY7HuPDz5IzC/vPU6efchtkz1c6b4MS2lb0cneGIZzvVdwrmQHMRjn/JnaGpjcX9oHVDWHHuwfsRjnw8vn6DPG3PcGfZeTQMdIuYF99CKJPaOaySvIcKc82yux/Ecx/5yAmHvXI4QSHsHvpJSCzhCptRrzeZ2vgVdeZ+j0/d9naDlBXFHcq9RF07WxLNptjEZd872ULjmII63VMSIlws5jbzQeDaBTRgE8eVd80JT5QDLDlRL+KJVQiFJ89LQ3rdcdify+9957WGeY8rUHD3D/7l1u0/z/xlqMM/Q5Go9h8tyKIRDTHqp4VtOvnO/ZS6kBFdjjzjgDZyqBApS8Voxm2MK6Fyr2OnLfe8/36XuHNicAD1EgHgqocz5aow21v9YGVYFIFVAJlQRjFTWCrQw9Q95X6QYxpvt6dGgzo1PRf3II0bMMK8eI9598l+57tfHkuZTvsVgsSOi+bzckkG2MwsVVGkfWWpyenOTnRXRY0zNOT6+ojk/PFujy2n+4P8c47zVvfP51HN46TJ8fj3F4nMdnNFCxZB7Rg6wqn4k0hc9goMnOVWCIwPfdgN1SlIetYUkLqxWqsktq3iASzMXQi5cxI4gw+SFWs7uzMgpVNri0CkCJh4meZAw0IoU3KXmtgPl0zBIho5oWar9p4YobOji6l8TRK1thnGOHlDE0YHvlYFRJ9Bw59VV+RXbzMvYug3HS5lbU0jmeKgpIUMZDGNEXVcUbaYgaLidLX60crrL6tRfJ2IPvELOBVlUWdT3OzT90i68F7f5g1VKs2mbTsbtfuLDX65ZiBjebFqtVekbXdWizdIQTaufIsVBD1m4ZR7IuQUAsA1yKIGZrNEYZrjRGY3+PjZmjwyk9Y29uqL8nEw/K46wcVHa/Wxvpc2s5xU8IEbEkrA4RtpJm2RaMR2NPsLeEW7/vHMHPGhq94wlclPl9AMV9pb8NNxv6WFuCP5U2dB26SJIDrud0RAnCyN+X4yuKxR5pYVFizpKVK549gDgHeIiAwl5gQEkoLdJ9Q+BDUQg8B4KEU/QWNyvKOSp2J6ofw6OD+SbXSRXBShUG41GZDxtKbu+9Q99xrFBVjUU0RBxel/n9AubIcFUJ0VDGUFJyRA4XUCqlvSMoTNwuRDZCfSA7Hc7zGpItMWqNQRTBAHxxW3C8MGao2bj9w1bmCE1GgCapDGOB8fQmKYHtRslXMbBhHeWCKeAzNUyQPkijNYDx2PjWIoQF4JCSGAHoF2FAgvnFZ/QMUXOZeH21WlMWExnXNSiK+1yLDAqDMJ6Y/j0IF8olRJ4biMwvvCnMAnEYKkFQuziAD+JCEfi8IQzWMDh6cl+EECiTiRokvR9CnIP1RFw7x4fYqAwbnNojiHCDYr8HgEIMQoy4PGcpnct1x7GTorqL5To5GQBE19P8772nRO0pDCjHzcaAHnzg23Tcl53z6LKxXlmOX51NJ9jfS8baZFKjzvIdwStEJ7M9lBf8jNYZdhDnruzKruzKruzKruzKT1x5aQ9aY4TApV+TeSthMR9bdH22nicWWmVXYqVgs4ejdw6Xi7P0HUR0gVkzk4otzIOJJVjAKA5snzUKmXCH8bjCOLNA19agzlbu2nZYnhQXrMIsB9VrrXF7f8ZelFFNp8s6ctJW3zMbxHshjqo1QhZgjcph0+akq96jWwrIa7Ohs83Z06coVnQt8oCOjUaV61FrkAcnIvDJRXEuO22tCCrlNre2ppPU0dEtFPLOaPI+kD0lve/RrosAagCyl800I9y6myCdEAMuL/hkcnb1jCz+ZycL8gwsli158FJuxOyS7wNcbv+u77HOHrQQIiekjYCPxbulEATDy/menhcct3nT6KK/idGowTjDq+Nxhf0Mmze1xe3bCdY0WuHObfagzWfSg9minNyVF6xdExl61ha+5DG0NXl+g1J06gsqkko4gIHHNBhNp0V5XlpvWvJK9r2jYNi+6qke1hj0vvQT0ObxBQUEz+NrPmdWrW3GFJzadg5tFhvu2g26DFV4FwGbxWKVAqMlCq54awG0jmEcayt6Aa0SpAgkCJc9vJERxMDePyg1ODH3EuJUmlpGXEILiNQ5h5BhzRj4HJ+Sn7OHqoy3GCN5HJThMQVdE8QZS6Mie65yUkpTjWCrtE71EXiaGcd936OnHKIBk9kh3VY4s+Ej598MLqAA3j62MJ3P9wrougL5qiQ6DcDYCo24qc9eAq01pqKP0UfEfK/Nsqdx1KoOfU7CHYJDCCWvZ4TK4sVaJXgpfQ4YCMhQSea0ZNoy2SjAIBR0wFryIle2wiSvq+Oxxr1XsgfbRhwcs7dRMsPTmE83NoZZnNsx1MUTpRWTehJsx3uOzNFZ8mcCQC3zyUIkgBde2YFjWkliDROEEmmNg8a1YJwbw+3z6JOHWOXwgZOTMywzc7qyFnVV8lgKL5bWJPStopLoP1LPUcWopj4yezaFlXA7EHEJQ08iiQhveR6vK85x4HvbdthkyLYZNaibAl0LEp5Iag6lOD+1UjDViPrzxuB4ASUbpRmOrSMF58cQKMdtUBp2zmv6q2/cp05se/YjXi5WJChbX9XYlPAN1wF5XZ2NGpobbbvB997/IFcpYqxKuEJEJ1iwk719NLmfbr12B9qkNrl1/xame0lFohoDVZX7wihEkau07H8KKfTks5SXNtCskRBGD4iFktyyrocvkyN00JkVYbWheCHAwWU1/hADNh0r9lYjXpRGtYHPk6J3Gr5s0hZocq3HtcFsnFXxfYDLGQ3gPSwtUAqjqjBoFGbjmlyy41FFbt/YM9Ox2ximGjt28fsQaUPzIaL1BbrzCGSExIFa+2rDMSq+GTFLrLZQhfUBhUqwQKlsucZ5aeGBL9l9k8kU83kalLaqKfuCD2AYLUaGW1SF2d5hbjKPFRlxEen10/euVi2102q5oQmY6PgFmuW6pzgG4v/D6LJAABENXfto6BkpzihvdJ5BHYNIhuyktphP04I/mzW4eyfRrZumwoP7x6XJcLhfNqEIozuqbzJYyqLnhmy8grB4jqtSIRJ0DcWqICoGaLGhDRY+AXFShQD0HRtife9oIYkhElRrtOYFdwuOCp5DCeZqRnCpMRUxibrNBj4bFV3bUcxcjADIcGH4K4Lj52KMcMLyUGJeK/FOEgoVIUUJeqMvKcj1oRhPZCSJ+xJyGiKxvII4FCUoSzQobb6K7yugIi0kA6ANj/XgyQhXhqFgbSuYqsTAAMssVeCcYzX+CDQiG0In1OqdjFMKAuISUhVRsKsTuz1v3N5DFQPGR4KPIyLqxjLkGSLh3a7z6LOx1ioHp0voQo8Yy0YQaO1NrMghA5iLEGNFoHYOgePRIjQd9KKqgBx3pqsKTZaEGU0U9g7z5zpgPGUDTcaQSUhOJkuX81AyvaOKNM7TvXnTk9cyE4ERcWcSchwyNIcwnITuZJGphrTWNPa01vS3y8tLch6sVmuKVRoy+RhqTcoFxbgcrvdppFN8BLgPrl9fBiEzYl4O2dX4lJLXXjHfvDC+GjTsINiCMaXRtxlkLeDsINtJ7AdPJWNbc8YGExFzgLr3Dn0+cAQomCLHFSMODnlMyX0KWtHB1wUPXU72vQZ8Zu9XRuxfPZ6fnuU7RYy0iFOt2JlSjaYU+3rr9i3UTRr3k4MpmkkOebIe2uT1IuHs+T08YnHqpA9eaI9PKzuIc1d2ZVd2ZVd2ZVd25SesvLQHbT6f0bWqLFmhm81aJEjn03LneixzkG1dVRRY54KnawOF0bi4wFViLmVr+OnzFZ1OV5uWgtwVQAGT0/EIx0cHAIBRtWZCVaT/QGmNWa67VmoQpLlpGfK6vLoiV+RqsRKigXwC6H3ARljDXWECRQxO1dYKdpQ4/Sil6EjTdR18l085lQGyly/ECJOv676nIEZWgRGeiq0n3L13F7PMOnzzzTfQZljl+dMTPH92kr/OOk7VaIzzzLYMIWCZWZiIGLD4ikgfAATHsKYXUGQU1LEQAB8Ki0UhRj7x+AKxqOIUyDBvY1H0k+aTBja7q44Pppjk09PebIT5LMFRo5HGfC+TUKzGtCkMOCA6PsH3ga+9W1NrRc0elUQASEXrgKDzSTqAGFAqRLTZ5R5DRBBBpMVrBSDB8nQ699RTUhwzBqEN5wP1kzEGpmf2cSXG0Wgyontpo2kOnV9ekRdrvVnD5fESIkORo/EY+/uH+f0URoVpFQNcl1lkMWJ+xH0ucae+XTGrEk54GliDKB31GOKEkX0+EAak71ltxQlbURx/BMOI6T1zeyoNT1APaE1I0FS+UtKDVrN3xiiCabVtYLLXxdYTVPlEbOyISDYRFpVgzhbWekSE0sJjEHkGuoGQsgNQcg86tEXIVWmCOJXRWGXIQ0NhD8wCi+2aArl1DDDZ17lo17hcJxjb6R6h5GGNDoUwpVSEKQiC1tT6Sik65SsoaCMgY23B/cci1UrV5EGrqxomezimY4vDg3Q9GnlMZoUlHAB1Tu3jPO8bURCuSsosII1nQjIwJABIwdVBnk0peltJqFZoxgUhrCv6RpJYhmXomZPruBPuYq0Yy7i6vCCR5OfPnuHp06cAgNtHB5gQ2z6KPVLkSY2SQaoGdR9oloFhzXIP+bdyRV2pNWohSlu8YDI/p8x93HUte4IV54uUsKZ8rlIK02mC9kII8JGZuoU5CSS9TtIcNWbwTgPPYeD2GGjKmcJ8VqgnDJUHy2NitWppjs/mY7I/mumYyADoO8Qsdl1poCkMbq3QjLidGiFoP5qMQXOgmtF6ONvfp1yztmbWNhSv+0oDMYfAaGNQF+9fiFiJ/MovU17eQCM5BkBZdl32fScGHG90neuwytRWHwOqPGBc9AKWixjXY7rvsaCWz+enBNGcnl/AkRczsnLzZITjo7Tx1KZGv2ExOfZ6KjIuVYYMyyRcLhY06K4WC0rwfX52iU1OgG2MJQip7TqKMYgRKNtvBIBCnY5xsLHiBtHGruuYERcs0XIjcscDaPueobBtDji1IN//7r17FEf3xptvkLtda4O2GJaBNzNjDC4XGW4OAeuWYVotDLT1ek2/adecDcE7KTzLsQTJpZ8NtKhSLFB+t6BY/T2AJ1rTWBL4vXtnhnHGsR/cOaTE9fNZg72svK6NQ12XBTtAgeHZvt/QtevZQAsSgrIKZSD5yBtH6ANihvNVAKoSj6YcyUVEH4pvPT+HNwvn2cXvhGErBVcl08mHQPBziAxFKwWaM8BQPkCLxe5MyMMslys6KGgxbg/qKe7Mb6XXNpraMHiHy9PH9IzxjJ/RC3jInQVS5Q/ouN8k+qgUxdYAilX+sX2gkFCRoTEThYxzMnr4vgSBKI7RScK4vO4MjYv8HV1zm0dNET7GTmBz21bNhJK5a2XhA4/huuFNQReYL0YozZtQN1C7F0nGHUPoMbT0QgqKGHABgF+mEA+jDeaHr/D7txuCSUyMtJ0u2zUuNkWawVPsalqNytiJFLepVYAVsKYl5DlCGbHxa4Z0EGuUIyH0CCrP33rSYDRNm818qnB4K923rltMZmWeOSh9Qc8LgY3cATNRsF+NAQuXirkUIxs2IYSBsSaRs7rhuntB5QteZA8IUWRBYGZ4ghyvh1ErkTkkCOPQaKAo/S8uL2k/e/78OZ5nOYhpU0PlvUluAS+IO4vPpVDttqjsTYK98oBD9TMG4zHvq8XQ7LfegbPAdBwnpRQZd0kaiDPNyDYqBpoPAa0I75EGWl3XW9CuDAtJ/y9R5RCiCIeIUALebkYijk7Ew282nPFkNp/QwfXAVILR3gLl3b2neLTSVqWwswiYzef0zvVoRutU3cxZwFoFYgYrxdBpOsSlawWgyW3ovYdbcEjXy5QdxLkru7Iru7Iru7Iru/ITVl7ag3bvldfpug+CjdOMKKjQEhAATEZjTHMAbGUrVFlfyIQAnfP0KaXQTIqFDcz2j8gKPbp1lzxoXTAUdH50ax+THCh++/Yx9g9TcLg2Y7RtPn3YEV59/c1UJ2tx9/4r9LzJfJ9PW4L5snek6BRh6imdBBIkmtmQzmGaGVQRapC6KWhuSin4GURONRnrGfoOMUNjI2vQZDd9VVV0+pnMpjC2sKPsIGiVbim8llXNp4ZXXn1A0MRkOiOIKwneCkFS4ck5ywy2CGCz5oD69ZpPKe3G0e/7zlGArPcBniDfKOWy6LSpAGJJQQOzCXs7Xr2/D5tPTPdvj4hUcrzXYDpO1+M6wuoCZToEX07tIj0TIgVLp3/JvpAnVhCO5kOEz3+zNtI7xcgQQsrZSBjCUFNo4BkIfLp/AUcRHtdygo8QHhhAsrWCgPPWqw0dktfCTX51uSAW6abtSFyzahie1bbCdL6X389gPkteDe8d1ks+0TX1iA/iXU/e2Xo0gXMCsuwrej8pwkin7IE3jd8JAJQI4tcC4gwhcP8oBQiNLT6O6sG9Bo650rYyBY3S9A5aW3DYg+F7SphWPEuJOtDfqGrDoHuegUzkCZGDzoNjUWoFhaB5nrQoDF6LsJfhbR1RG84R6oIjdm/vevKSJjix3JcZpEYrdoBpTc5ehYFmMAwqGqJasRfKGkvvaxqNsrRN5hGTWbrBdBwxKQLLdoOAkovYI3j2okiv13YQPq89igTdPi010fDf/L2UxzN7rQV+KWH+9P48lyXyIGHG67xp5T3KL+qqonqG6Mlrd352ikcPU87b44M9+q0UUk6p9org9TBgXLZPFMLKEh7c9qBJkd0BeeCa4Pyi1wYATT0e3LN83RpDxANJ5JDPTmsT17Xi5MfoN93g+xLalZqLkkAjvZnFu5w+5+/3QpezW0oSSk0vXo8nTKwxlkhysWkQiwctBqjAYSSsKapQEdtZoRqN6L4JDeBQjlD09ATUncYaVQsvtj4AlfQNP0t5aQPty1/5Jbo+uzznDbtlDLgynBA6ek8boIKCyaabVgpNlZkPWuHweMqVqVnpfenGtFEe3l0S1Hf3/jHmWRxu1NQks3F1uUTVHAAAjtYtqiYZbsYYvP7aA3rGwZ09xsXHE3qP0d4dauCNYMNBMGW8D7QB5mU/XW/BnWnBlzBO7i5huPluQ2xBoxQsTQqOHzDWos6GrTasxByF4zOIiTyecPLyn/m5n8UX3k2D8tnTEzx/fpae6zxBb33f4/wiwRHOOTzMi0uMkRLvAhhcb9aO3NLL5ZqSsK/XG2zyJOq6Hut1TnTvPdoNCwBCxITductu5J//hc+RsPGtPYU6U5Yb5WCLBInrgLz4O9+hd5wcWLaD0gxHRSUMNLEoOx8JJ+kcGwfGeFhbmLpgBqpigycgoJZxhmLR9N4xTIEhBHFTPj1298dBjJX8/FyIMy6Xi8H8K4udE/D1KCqMbZobphnj1r2UFLiyFkd7+wBS/5cMAwAwqnmT1qLPU2LsbARWY1L2D96DdTa2oRduGy/gYIjNxgqmVNs6sQEYkjVILC+eZ9LIHgCn1Of+hc+AtGBTT5gaqlgd2gKq9LHhz5XaMiYZ7pKLptIVdCybpCUjwIeODiyudfBdESZmZfc+eFxlRntlK4RbZRPRGFeWNqvedxT/uOparPLhUSGQoHaC+fMY1krklgXBnUolyaNSbOT1VusRwTjViNt/sqfRjNP13kHE/kGWMah6zCYllGCNGE7ydYDzbAg4x3CSNK6HeSdjZo5eZ4gNobXyfTmVrAi56dog5k0Qz+T8tSFyW0n5DWAo/G2EVIKU0pGwWJJ2SL//6MMf0t/u3joCvvQugBzGkA2EvuspJCFsMfr63tF7DcIxxLtvS2mwIr/ivJI3GJpnZ2f02XTit/JH576va9gcn1nVliDOEAK9mxfySiFGgjtjjFi1sr/DVr25zblf+CCktaaE7iEGIjx673GVY6VjjFhcLugZDx68SqEc8/1DMoCiMqxi4BwiGWWgvRYAtRm2ma8x1w1DAdxoFC085WgEJFizHDKUGsqyKNEXjYCeX6bsIM5d2ZVd2ZVd2ZVd2ZWfsPLyJIH9I7peth0xYpxnN6YygskAI9zvCpx7RCfrFgCUgoijzkKPueiKROuqZgRdfPPKkpu+dwEqB7/3PlJgsq2ByWyOiKRHQwHvCnCRgzajtuT9U8ZQ+g/bRCgvgiOL6zhEwIgKU4Az4AWUGcW5Np2Ci6tUeHOMZg+aVqSxZbQhVpIRUAOUJvhyAHGKa6VArntjDWw+pUwmE+ztlVNbEBpvjp6VvCH8biW/HFC8pOlem42nPHar5YaIFev1ButMoGi7HstMPvDeY7lIXpoYA1abS2rXw4MZnXwP9ieoswetaTrympkIKAlHSJiS/l+w0SCC0pUapCsJin3SUf5eCWHOGMlL6pwjOCl4Tku17QmTziOZYmVwzI/cN4Mi2GwhsFiyUsBmwx4Dqa3n5AlWBD9LjTJjLQl4JsHJNDcqY0lbLyKSh7bUXaKzrDMmWZWGAtONzDMXmZlKL0xNUObu8DQZIT0C2+12fVv/6MJtPEh3E4ffiYJJx/UOBIknUVw57oT3ewBFxUE7EUr7wvuIazGOSlCIgiIYzBiDEMGsU2OhTdG0Y7arivy2263kw4tzRkFxP5Y5E0Vd8k2qOsJkosxoBNRNhrqrCJProZVDCMUz3gvNsTAUJr5myPPf2AtTXkoLLUDZhlKcFogQwyh7Qfg9onhfcQf+zqBNMOgPWSSMJ9PrSaXi9Jv07+VySWEii+WSWJPOcao1Hzy1ldR8AzDQfBsyHuOgLjcRCeT3r0s7Jb8zhC/5uUYPfTbb4Rvbn8l0dlBqwHwdfDdKdu4LVRM/yP8XAvrsKfbeYyM8/c6x6KY2loL2teZwpKgMs6C1ITqaUiBymJyLUJG8bHlQcJ3EepT2lhf3ILU1A+m9xXhM//xs69lLG2g/90t/mq773/4tctmen58OVIvp+YEjtFLetuJKlHEQEecbZoDENePXutmnxL4Hc2Z7BXRYu0I5bxFicn1qZdFk0dU6asyO3siPiCgbRETEwgmaazVj7L0xtFg2Korwk8guzRDEwqdoYIipDjl0y7tT7IMXZoRoHw1mpsriIysaa2PQTLIrWQhPQst4q0jPncwmmOZAlMODQx5AMdDCvx0X0Mnk08L9LsU4NxuGOBfLNRloy8UKq1UyylarNUFybduSxIdzPR49ei+1iwK++MVjhjh/5gEZaJcnH8Jn9qVbO8Q+w3lC1sMHIKBAUxFRs/FaWjbGiF40rBPGmhPSGkGD1qiNi2gzdGrrJc4yBKyVxrhJxoz3Ice9vFgGOSzBEzfIvJAQE3trsy+xljFGnJ+LDUJfz+SSMT5yAs5mM9x7kKD9u/fu4u69Y3qPpprQb+/m2NIYI1YiHu3k/JIgmN6DIChdTWBrMZZKGwZO1h1j4CTqMYqk2EMGqh8YdNxug81wsJpLs3po7JVAKWNEDJqIcRsskjoiotD5+yyYnL6ji0yH0gx9RqBIWMQYKR4stY3MZyoOotAoUgYKASrfS2lFkEz0GpVhY7fMH6M1+hApF2EzngG25Pkz6LvS/rxxSIjGiuXBmIhCBlYqwgt5BR+4feqaN+zDo46MsoMjj/E0XVcV3yuEHi7Drs63WG0KBBXQR17HZZHCpdLg8M6X5Caom3qofB/5tzJjwGjEW1dV89xYrzbMMvcaRTEnDbUMWflIh9Gh4cdl2yiajDlmS66Ni+WK+um9730XH3/4IQDgrc+9iV/8pV8EAKxWK1pbN22Lq8WCniGHd1VxFgRpX/V9T2OsqqpBfWXWhNJYCRK8or9PcqL2ynL802QyZtF0w2zL3vd0GJHrWAiB9vkY4yCTQ4GFY4zY39+n3yT2P9dpEENNxoEwGgLvj77rcf7keW4Lh8c//Ijuayd8sJ+M55QDczSa0twKwinUWxEtrkDsaJlxI8YAiHy7cj3SsFTHFOrBp3x+DUMxoxGe1hfEMMipXNWfLQZtB3Huyq7syq7syq7syq78hJWX9qDJFCHWVuSulFb/wJMvTnQKGlrYgor8jeBUFRgGcYcgxBLlSRgg61Qb0Olc6wpWF+tUI3r5ajJQnE+/Qx8IB/gqLYJQBTYSYiSPh4LKzDDkekmIjYt8b60ZtlDi6KQHYf8YfB6KFpJlXauhfo584tChH6n9h25ZCQ4OgELy/CqI2PoBVGSMJgZVZQ3BQ3VTCXZSwDhryhijMZ0Wj02P2WxK9WtE3jxjDDEjrbFAyG1rKupjayModlbrYU7E4iWNAoJSKrmuCZ4TYxB8OpdgVoKp8qlPBPcaY4fOnAGkgEGREAvdWXgrt4v0Yt70HQn0Drp88BU+jWpjyBORtP/KHNU0TIouYKmfDCyWulNBtMnQRT+EAaOoIL/TMAg7Ri1xwMG9rgXslLixZE5I2tqLN7umrluFD8EDGEay4oasOv7d4HPx+zSb5LWsm2h/ruAAXpOwW1prCoyjoXOqGiVCJpIiZrzmWl3bF4AaXEsmpNagVFtaR6jielIMAcfIJJYYAnxgNmIQZJGbxvA2JBdFJflSpmS6fm5c163x2v7c/vzaaskaDutKTTUMupeC40pLUkNkr3PfEbmqbTcMdwpv2HaF0hzl8XBdO74YXvHiXNr+bRmv0vOmB32R6r51m2vr+ML9b4BZX7gNoggT0Hhx7qd7hYHnnfveCOhUMiHTfSNd31ivwfol7ZWCdAk2N66Zp7Kq144jMeMjhuEeg59/ypp0TXlpA23/4C5dv/HaO7R4r9uVwKa3KkXjVkGV3IURlMcwIgKK6bNpvSoucKbPSlYklCO3JJRjay8qep0YFYJndzgbgRFAK1ABKTYqFj4IqQTEaxcEgI0vGXtyXWF4UbhEwVA4wvYP2BgtlpvWGkd3b6evi2cN4wF4LMXBFsGK9koFUhmXJcaIykozsRbvzYtQgAa/BYvTRgG3BCG54b2n2DTvHc6eP6bnuZZFUmu7pA1jf6wJggibSKFx61WHTc4XGnREsOn7zjlcZXV17z0eP39GbRBFo49GzFpzztFm2ncdLQyb1YYkVtz5JTbtBwCA6WSKz7/9+XxfhUqyceI5XTrHsWpxQKOPN07NAUwpFwlhGEfwOAqDwcbfqepRysEK4Pbdu3jrnbcAAPfu3cZRzrgRRSwIYLCXxVFjjHj0kIUaf+e3voY2s3Jra5J0A4DRqKbF0ntHxlcQnPPgA1yOYQwhYLPg9tEjZho3YxaW1Fa8NwTqMYjT2ZK8FSxLpVn9vBRjKrGeiEOaECoNLqBH3jy1HySPB1iUmkPt4kBccyDoC0/K/l5pEmVWlS2JQjLCkg9dIWKkG/p8lW+lQ8RisaEN9fjoHsnAjMeHqJqS8SNQTWPoUWhkCh4xp1XxAUKWQ2Ekgn6rfc7vun+sYHMf7N9aomrKpr6BzxkRuo1DWBfhWI+QYd8QHXyWvEnzjdtESjBoIY4qh3DbcqYY59zAGKI1JUSonMxaaYXprMy/vJHngZFiossBiw2/rnO0JhnDMPM2xGkFvG40130+ZYhTQnd7swmFgFwt11hm+PKb3/g97Gdxdwlrf/Lxx+gFlDYWYtSzGc+N5XI47su11orZqIEZq+qa+K/ynYscpvHqg/v0+fZ+JQ/nlrJm8H+14r5MO0vpx4io2YCvhWEj1zWZcagZTQgWVcZC56wj7XqNRV7H280Gi7yGKKXwxttv071qIZXVeo++zd+rLGzOMlDXDawtyhFWCI4LdnaMoPy3MdIasm0YSwBcB36/6B0Ki11FoAhFe9eh32QWvMIg5mA04jX2ZcoO4tyVXdmVXdmVXdmVXfkJKzsDbVd2ZVd2ZVd2ZVd25SesqHhz0Muu7Mqu7Mqu7Mqu7Mqu/EsoOw/aruzKruzKruzKruzKT1jZGWi7siu7siu7siu7sis/YeWlWZz3vyiSvwrF//XSicTYjJZ+/q0v4AtvfQEA8Cd++Sv4d/97/0b6g1tDLT8GAFwtVviP/uO/CiCJf/6H/4+/RQwcmVXA2IqYPa+/s4fD24nB8+ijczz5JAmiJhZhYkvUI4W7r2dV+lGFX/nVn0/fCRHf+/YTuu/xgxomM5e+8+2nWC0TO6rvNsQqOnvS4eJZYiWNZxZHtxPrShuF0STnOjQaD165l+sR8fgTZul88P2HlFM08R8LG5Lbam+/wt5+YrV0K4fNRWIr3T6a4y/+6Z9Lv9UGt+68CgD49/93/zf6LRSzTLuOFf+HaoBcKsvJ2I01mGWmUYgBq5ZzW6JjJtbhwQG1v60rUryeTRqMskL94f4ejvbTGOn7Dm1m1jgfsG6LcKVCM5rRfXXDLLtXHzxggUqpRK446a3SzPjpuw26TRJj9H2H9uqU6+657q+//Tl6RheYgbpeMauoc0v4kNr81Vdew6uvvJbqF4BMCkK/XuDyk+/n+jnEUxZO/Pf/9j+l65GQDnGtI7pUZSoSNp7P9jGf7QMAxuMJDg6Ocrs5XF0xG/Uk508FAKOYgaoUy86sN1ckELteX8G5xLwcTxpMpokxVNUW43m6VkahmnB+vfNVmT8Rp08u6Hmbc0fTWUctJGg8ZRJoGovRqMr3YnZjDNwFMUZsWmb4RRVoWNoRi9YGzZ831sJmZl1TV5SfTzKTB4mYEYnN/Wdf+yl6ByhmH8t8oFI0U2mWkdFaoaoKuw+oamZfCRF7IPI48r1gcYYWcg1kCZkK1tT0WVFrD8Gj69oX3if/+gVJE4DS/dG9rs/vOoxaYUL61ueCNT8aN9QOTVOTWLACi4T3vaO8k957uMwO3Q6SkbI8+8/fp2tT79G9xncfwDRpTF6cPke7TkK3GxfQZrblK2+9i5/7U38hfX+6j8+9+4t0r1FTGPsBVz/4JyjtfvG9X0PMc6B65Y9Bjw/TO91+C3Z2K7/Tzcx8JVmchZEYI8DDE1GMJSeY2gEAJZQRbZva5PosATJXpVRBMIa/NxT43e7DIhPB2RVkbmIpT/IPf/1v0+8uVucsYWI6FDkpZWNZbmEMSJBbRQWDIk6rgVBUEhSMmdB9K5FfNypm17Zw6d9IMkolz+zINBiZdK/YB8RNrpMP8Gtu20awH+2Y37tXa6q7Ux09IygglnltKto3ogPQpYbyzmG95JzDIyvysIq2XS+W1FYX7YL6fN1t0OeFTgrSW2Mxrsf0eZXnPuJQduvf/bf/R/hRZedB25Vd2ZVd2ZVd2ZVd+QkrL+1Bm45ZV+zZkyvKx6goIRNQ6YZSOn31534W//p/878OAHhwa4YRkofj8ekz/NW/9Q8BJN2Y/9N/mq4RgdWqZV0XcZisFD+l7TdYt+lLXdujy7o8xmoUA1grDd8lizvaGgezdIryIeD9b3+TTiGvfe5LaMbZqzG5hMrv9PSsxdVFuu/6MsC1WaOn0uizha8tgCqfCEJEm1MTIQI+bFBOdN45uOwNnE4bGKPRGAPbBrgu3XfcajTJkYEJKjTZ82GCxT//+geIMWIRPd59J32piB4C5ZRfTuqWLH3nw5ZeVirB9+hX6bnWWqAq6ao4tQyUQtd15AuYx0haMMdHB6ib1NDHe2NMswflwZ1beHA76bRdLdd4cpq8Meuux/JZ8nSFGHG5KB0bsX5+SfX65OFS6NMJkUVlEPJJyFQNTNbPCaGHzydlxIDoWIBYCwHOh6vvk8jPwf4+pePYnzSosluk8xF97vtn50v0eA4TI27VFW5Np/BKwQUWWowxDE7Oh8dC28ZZlBfZuEje06pqKNXK3bv38NprKcXS/t4B7t9/kJtdUUqgEAIuzq9ySwHtkvtcyPdhuTiHz6e4tl3D+fS9uraomvR+Pjp0MWu7BYfLPvdH8LAibVBJtQUAsSGJH+jIIs62okwpCLEnMU7vI/q+nNoBKQEncwzWNa8jxrBnTh4VDTRUdkV0m4B+s0GtDQ6qCkBEGzxOuzWcE7pY03Tf6Uze37A+Vu94bjjPgrSp4dO1Uuw5Uory+uUWoasQ2GumRW7epua1UApBpjQwJDQlGkZDC+2qKDy/yR2ZdfrE5zJt1nZaMVkGeRdJm0q0d7obPztE0lcMnnXiYoypXaKC9QHGJyVE5yNaF9HDo49xIEYsn73kaQlrWTexdxE662ctYyT5cOd6YJP+1V0tcP48p4nrI9Ydz/fV+WmpLD78zb9N3qfq2begsjfcPXqMYNPc3Hv3z2B05x0AwGz/Dmb7d9Kt4BEie/iD57oPVAzFUio9sJ1zwqs19IxROjilBsKnUgz5pnya2myNJLoVe2+11skDFyO066B8D8SIqDXiuEbKe83C3eMD9nT1VUvrWe8VtV+AF+LTGiqnQdNRQVNKNIUQOZ+2rngM1/sN1U9ZoSfaKvZ4e7DuXXToi7aYAw/JyN5MpTQqkearaljo1lYapFroAJ8XR+8dXF6PdFDQuV9V0GyxKPZgKoDzNkfQug0AEOvXrJ6Tl27sp/DRw0RAdw6qD1nbVENrA6cVvDZCQB+oDXvpXqa8tIEm3dYyrWAaPMXNqmgDrOsas6wg3zQ1tGKBw2UWwFysN1iu2cUvJ0GEHO78r22YY/ANlv8Xv1bCjQx4F2hCyUU4XSt+v9w/A9ThBQV/fjZfx8EnAxNJpc3qv/3aO/jf/PyfxLx+OdG6jevxP//aP0InF/Abyo9KxiqV8oNwfydRXCE+eMPv08JTcrjpnKgYqKxFnSeqtYa+o3UABFTARg5IOBIAWt/T5jHINakCYhH2jBoGBR5yQnU6gBOeRTmf0PaOIUcf6G9x2GlUQozwzuNf6QP+TKugry7wzCj8Zwc351CTi2n0YuxJCEos0sYYEn2s6krkGFSwthigAV0nRBS9EEh0XGHXN/C+GBIBNn+vqg1BdH1QnCfTR1qsYhT5PRFfgNQUr2MMcSpeC4LnphvmdX0R9pJFrheDZ17zvHLI+Pfe+Wn8T3/2q7Da4LeffoK//A/+Ex4nAvYZJEgXKu9as7p+Gk4vwocDyHCweUYem9fMDCnyyT+RBtr2e9JJRAi3Dq9vFhyXK+Nwlby5XGcE3Pxb2XcGCg90gy/ZOT7XzHFkRxiZCs57XLgNPlhd4J9fPccPuitsBsLM5SlibkRF7x6jHDtiCkb6D2QWimFWB05sHYOH6za0YFvXoaQb8f2af993bABHISYdZWvKfr6+PcrzB3URCvLX9o28fGEPuR6yHIyHwde25mmM0MsFjn7tH2L06CEQAtx8jrN/7c+jv3t3cPsBzKoVCcarIMYqlPiJTDc/vJb76/bYpvmtxRoi5tPNu8uwyAxF2+vEIGG8XGOv6b9P+cf1IQLb9VPizcWaUkWF24seb56tcH/ZYe4C6oSGY2UUntYW7+3PcDKz6Ito7lYy+h9VXtpA25UfT6mVxk/tH2Fej15qaQWAka3w6miK93B9EuJd+fGWBz7glyniApj7l1tQduUPp3xl/xj//S/8LKp8mHpj7+Cl586u/MFLBYVfrA/wy+NbuF1PBm1ujMEdM8XtZop3Z7fwT88+wT+4eIRF/NGHyF358ZbZ730No0cPKQ2hdg56ufyXXKv/chfrAz7/5BJfOF3ioA/DuQFg30XsuR6vtuf4/qrD798+xKb67ObWy//Csbu/ri2daPqePVJf/uIbuH8nwVy/9LNv4cvvpKDM84tz/Oe//Q0AwPsfPcT/5+8mWNPHgMN7fN/l2ZhOK+3Sk7tTGUUG++WpQ7tKX7o8d+iyN8EqD10GaLSISJ6Itgv4z//x1wCkAMuTZwv2/nkDE9LzFyc9zk6TNy90CnUOKgxNpHpoo7FapX9MxjXuTQ/T51phghyEqID5Ifv1D44m8H0JZtaY2RFen3/2DeZ8scAnPgWQyxRCrr/+dH/TNcAnwhjCIA1MSb8BIHt18klWRQQU13EP59LzujZgHRK0+/yZR79K0Nli0+Pp+QoA0PqAk0Vu1xBxSUGZESfPTvhAI4wgmd91enCAOuf1HM1mmB/sp/u2a1xdpc3AdQ6XZ6f0+9By+rALCc2fL6GyB+5z948xyVCtrQFtE/xTXy7xq2qG2Yg9ZgERZ5dXCCWtT/AE56Xfc29eXm4I3gu9gAlHhkgC8hTVti1OT1PdbVVhb34AIB0KDw8P+RlHPE8aXQtvk/Aog2ExpSM5Lnu/wdLlvlld4fff/2b6vO/xydNP8l0jqoqfEWpQSiiDhsZY1WgKmI8bhz5D+0prNLk9k3c0108pNCPuAxmsDweCC2SO0KgMYobv7tsK/6uf/ipuT6b0sxiB6IBbR0f0malKH/D9ZTsbqzKRKOXtpfx9YZi6SWTXgaN5y3MuRuS0SqlMJoYO8E1Tkze17wOFgYQACnOAzPEHARXFiLLQKKUGab4aY4SXRov3YE/GNjFg8O/I95LZ+PwAHugH6bWs0vilyS38mdl9TEx143qlAOxVNX7l+HWsXY+/ff7JAK4eHd8VX+ZwjLBeIGzyeta2KHZdCAHO93RzkyHxqCIunyViTnQdLt7/Wn6fgI/e+z69r20v6SWVjVA55GY1/i7Gy7wOvenRzAvpTXGXREWplxUAX8YmAOd7WqpCohmUH4HnX4cy/mIcIUYe94X4FDEkg0gHjjGa96Z4fYsnwgD37eiTTzD77rfJOOMHKiAk+JNIVwKxt9bQHKhVTe3nPUPdJmry3GuZrhGKQpkGqZMAmEqkTLTcNlpr8s1pxUNSA+TlVFCU+k1plXIyI60NWqRLgmIvn7UVPa6KFXyGS43zNL6DD/B9l59neHjGYX7SIFJT9SKMwRhDvV03KRHWOx8/x7vPl2h8+NS5MfYR716uoJsG33vtFVgB1b5MeXkDLW65R2n154ExnY5xdJg20P29CebTtGBfXkacXabJeHp+iScnp/QGzZwXGCs2CLeOA0YMx5JElJxXrudcZEN3cUCZaSF4nJ2VmJuIrpe4DGjDdl2E6wquyUyrBOlxXArn5FPE+lCK4zzSe3BbVZWhtnI9MK9rvDFlRqwHcNVu0ObNXylOZBtznX0M+M7ZKVr7ons0ijx01Fbb1zc4gCJ4IR9AXDHSO/M3pRGY29Z7BJOuu67DJv9mve7R5ji51gX0Iol67wvzi9l9ABDFOPIhQBcWX/Aoe6+2GlVmjfahA/JmGBTgMnwRQ4QXMXoQLmkXWs7h1vawlAfSwELjnrL4N6ZHeGc0Hk66mOKAaB3fguMlrBZ8GIwRCR2wwSC+HyLnc1QK3FkKtcjTV2tmR41sQ2PEGC0Socv9n+dA69eoXP6DiZxTTzDHYtyCB4WRoKFoo9NaMbNLxs+AF7vtVKHEzo0xxTdRiYOxOYBTlMY70zn+11/5BfzxB6+90B+IQE0HigixXwzKdfBjQILugHRI5GF/w0FG5N+MW/ithHy14bXCezFGRNxYwtQYXuN5xdflxoNwtVJHwUSW0Ok2BHhdzssX4TUuITDsF3zA680Ev3rwGhlnEYCLASvXw8cAoxQmtoZVKaJnZAz+/J038VtXz/As8vwzIuZQPjP0HX0Qt+rOBg+gxAbqcw5L37dor87ot+v1iu6lnSNDwLiWxm23WsKs0h7k+g0zJpWCEpaLPOzS8ilhTADbWXV5mQ0YBFFdtwB/ijN+G+a+iaFbkn/bi3Mc/PN/At1dh6wMYUgAA6M/QZzpOgQtjPNI65yKmvbHvILx75Vos63E4sziBI31BEVydfjVttpShkuJGFAlDluRb5viMDVf6/JSApINYr0OCJwDOw5ZtHT/7RAf+R5a4/bFEu8+Ph8YZ14pdDr9v4kRdUw5dRWAKkZ8/vk5nty9g246xWcpO4jzj7AopTA3Fe5NWGribLPC//F3/gv8+tMkPVJZg1n2+vTO43zR4qpr8ahf4Uu3X/mXUu//shetFL5oGvzrs0O8M5rtqM3/kotRCn/i1h38L372K/il+68MkhXvyh9+UQD+3N4rmNsibwK0weNrF0/wa5eP8bhf41jX+JW9u/hjR6+gzhvpxNb4E/v38NfOP/yXV/n/ihTVtZh//XdQnZ/v4P4/wqJixBc/eoaROGj2WuGHswbfurWH80mNw9bjp54v8PrFAja7I6sQ8NrT5/jB4cFnet5LG2gLgWkrcTqfjkZkqf7cu2/hF3/mXQDAa3ePsFmmE8sPP3qIv/uPfgMAcH55iWacTvBKA2SrRKBbMtNqbSMF/2rLbKXkORieDIAMq5CVTNJZiDHi4cdX9IwY2Ov29MkJRpepLudnS1ycJ/htPK5Q1cVrVlGwdUCEz7b14d4Ef+zdtwAk78q3HrIuVicgtmZi6fS9WXi8MZthKjwji67Fb5w9wTfOE1tpPh/h9kHSJtvEHg8X5wCAqrJoqmS4VcLda7QVzcBHE49AWmshBIKromRcaXEWjEC3Yk0YgdrBqAidT4ah28BlpswmaoTMAtysNjjLR5nWRyz64r3xuCiwZoxwGcuIMaIZgU6Ua99R30/39whufeudV3F8K0HlurLEGFJqg4vzDK/FFsqt83VEcOyZQzCIRBLgc5GHhofBgdH4y5MD/Mn5Hu5VzbWLXQgBz8/PsG/ox3AiUP/ijOfGhuOVYRWzH1frFWnDxRhxfn6evmMrNE3WpTMGk3GaEFprTCdzum+C3NO9Js2I5sPBwT55qKrKEmPSWkMEDlVFmFHRSlujd+nE7YPDqMCPMWLTM4yTD+kAkne0vFPfRzqlFsZo/sUgcJegCqXYs4aI1XJFfS69aSoqIAJ3J1P8W+/+FP7NL7yLtw4Ob9x8ometRKWYKdoJ/T7thHdZeNiT5zjXIbBXTxJosk+Q7iX1p4wIfjbGEqtVMuyci+hzXfoeyE2OCM1eSzBpJv2e617WHwADdm1qyxc9aEopQdKI8J4h2SAINIzcbOmuCSv4bjXGWzl8A0jr3jcvn+H/e/ohrjK8+0m/wl87+RBvTQ7wYLJHzfzO9AB28ZB+23UMB0/3j6Dywtx3Ha1D/uwEm7z2+N7D53Ca5arFs6fpXqO6Qh1S2ER0Pa5KSEOM6ELFxCdvaQJqW5N3bBQVTH5e23VYi/2MYe0ITZ41QAnvXxDsOxWEJ6lbAGUexA0KHzU2R/SbodN1QJuAQCsRfUEo0vwnTa8oWLVIN9v78H3MPvwhhfUMSkweXOc8YmR4XTJ4y3wDgHE9Ya9XVTFa5kHeXw0FW5Ag53GR2y8CWGQ9SqUURrNbhHx5oWXqew/keaaiobooMeeCj1RXrTS0gDhlaICPQqMxcNtozfdNjPkyFwOFK8g9SJV7o3hrmdFphPfSiP32cN3ilmDUBwAP5yN87Y3bWOd1bjmZ4ge3buPW176D+bqlVr+1WuOT0csRA0t5aQNNTjRtIrkJa2thsrvzlTtH+MKbyctzMJ/AZdz37OwC3/lBMmA618LWLAbZ0P4QYawHraiaR67WzLDEwEDjwo7x5FotBppzEVcXHT1DutkXV0v0farLatWi3aSOG40srBUbTO4gFwK6vPCNxzXevHsMAFh3Hb718Uf0DBlnY2tetLt1wM8d3hrsGVd9iyfdGofNCEZpzCYjHO9N0UcPaKb9G6MJk5e4udEs9jn0HQfo3CI+m2tANtZEoxGcGiN8LzjxFd9XI9L3gnco61PfKaIgex9oovVRocsLY+sc2nbFD8wjLsYIayWk41F6sB4ZjEZZyuN4H/cfJEp853qKDVivFRIvG0DsoWNeGEOEEvEDMQZ2dQeGlwI0Ztrg3z6+ha/u76PKTB25Pct7LFYrzGYFqhuyezcbbjfXG5QVyhiGCfu+RzF//HnAcpnaRGtDzE2lNJrM7FVKkZgtAFSaxWnHoxHB5nfu3CYWaF3XZKzVdUVyKNVIY5LHTt87YnSG4EmYNcYIpR0ffcQ0887R+/rgyUCL4HYeMq2G8EQxnrYhTi/i+OCBW6Mx/g9/7E/iL33hCxhZe2N/pIMW/zFGEHVe0uN9GMJE1wBOadwWcewwXB8kTBgj/9oIqChJHcgDY2YZ+0gsZdcHlKkVogzLiEKwOkIbAZ0ayeJjuEZpzeElwOD9OI5ItOuAXRsHzx7I2QReOn52ckzwP5BY5P/ZyYe49N3geYvQ49fPPsFfqkfovcfa9/jm8mSwPnmxb5h6RHGYAZpFyQNo7XEuQW5AMraXy8t8H4tNk7/vHLpNEdUOcCL8ppcQcDQosjV9VBRb5Z2nvSmESP2PGKBpTCshTwJACkWL/oBvoXw+kIcVUAy0akZOjBiloMlw02UYtfwn/1uJ2OIg+ynArJa4/Y2vw3Qtrisx/yaNZ4bnJRQpjTVrKhKOVbGByvHUoQ8k6aOVIpIOYgffJwMtxIhN6OhlYhCwO9UGKQ6uOFwQeQxvQfC+OBIUEGkYRTrwbe/hQYgEaK1pEBtj+BAmYO8U6sk1kxJA8hnSKFOGHUSvPDsfGMW9Ufj6G7fRNhWZLMZaxOkUnzy4g7c/fISoNbw1uLx3h8JLXrbsIM4/4vLlw9t0HQHMqgb/4S//WfzU4V0cNCNsvMOTfoHfvnyMvxnew2N9hvYa+vqu/IuXqTF4o2lQiwXlqu8RABxUNwdG78ofTtlrGnz59m2Ms5HpATxfLBAA3J3toOc/iqKh8PZ4H1LR7buLU5yHHg+qMfZtjVppuBCwcg6/uzzFP/rek4HntRwMduXHX5Trce93fwvN4ooOMMFaGLdjz/6hlxhxfLEc7AtPpg1WTYX9VYvxpk9agfUGdRvw9P4tPHz7dUyaJDcWgaGl/hLlpQ20yZwnXec4wPPe7UOM86n/3vE+bu0luKZt1/j44wsAwMOHD/H4cUqxFFUkD4xSQLtmcTjpCtaamRqjkWVPkmUYp+88uiwia2tgNFb5WqNv04ANITM9kK1vIWh68nxJxIS+Y/FBHzxKBhdlFEzxpkUNkzWnJk2FWc36XBNr6BmbDYv9pRQTGYe2EW9nlh6Qztqf2zvE5/YYTqiNwV7d4O3pMb46u4//S5jhrz5+D5voEbJrVrL7ppMZBToOPAAaxKZyzsHlCey9R59PtdpoSvsUY8BmU9z+ETp4GogmBqiCpWuFivTSkuBkulmFmE/OIQT0uQF9DInOmFoQKIKBwOCEarQlVtF61aLPLumPP/oEy0XyNnV9l8YegMXVFU6epjEVeodN/k6EPLUrqLigZygLOm71fZ8hgOJlBN7vV/j/nZ/gVWXxX7t1n1CfECMWyxXWdpw/8FCC1KDkNIqaYAEvYCSFACK3KEdeNqU0wXJaGRZX1BrWNtRWvfBIXS2v6OS5WC/JY2Gt5ZRclaXT2nhqsXec7tW5FpsiLhs8+jIfYoLmI500h4G/5YHGGCIJxKjIixZCxHqdIFxtDGoKEVA09hDTWCTPlwyk9wrB8b/7EPDrH3yI/+jrv4dfvn8X/+Nf/qUBKzP4iE1+nlIKIRYiDh9mZGCxlp4m8d+UoqqsQcz0lJpKgPQ4qORBy/+UnlTfMkS82fRo2+wV6oDssEGICi7wmudlep+SVwwKUQRhV5UlnoF8NiDgoRDoPbz3RDyJITK8AwxEjoUjENqkQPG5qbG/pc+4DA7/rcPX8NbkAMfNGCNj4UPAwvV4vL7Cb109xdc2F9gED6WYFAIAKqcSA4DQLkjTMKJBYXZEVSGowoJ3tM713QrLs6fpnZoai5EqL426sHpjxN7xfZT+XC1HBCHb0SGl+GlmRzCjtFG2rsfZ2bP8jA7rHIoTnIPLTHQgzaH0EsD+/bfIO3N45w1onf52cbWAywhB3y1IPHvvzhx74wKZecp9piD7TyHQvC5M+Tw6O56LPuuOKgC3338f+48fUR2j1rh8400c/uD73GEZ4qY1OMOGRXA9faih8tip0MBmT6PRUxiVoVmtWMFAK1RlH8QKm1Vee2MK/wDSHHvllQdMOBCwuevYc1/bmvYmI9rDB09zRmsDFQoxSaMZC8+48ELDOQbdtGevpceQr1GmXIhwfSHkafJ6KaVSvUoPyPVCJfrHqHcYuSFrc1MZ/Nx7T3BnucGs87AhImqFzj7FYtLg+f07WHzuTfiqAmIkktzLlpc30PbYQHNXPTXQvTuHOJimWJl7x3Pc3kuT4IePLvBJNsoePnqMJ0/TRLPWYv9wj168KPNfx4wra+VoVJEEgLaWGH7t2qGq0gvXjcJkUjYFhk+SgVbTM7zlQXryfEWGn5RN8MHDFYOkMjBN3vSCho7pXi8aaNl1HyPa1tNCPZkGgkDuj0c4HI1/REvn9wfw5vwI/7Of/hOoRhX+6vP3ETOF+0gYaEdHt2iDTmrp+fdWi7icDn2GEPq+R5tj5JRSqOuSS9FjoVgY1a9X9Awd+B2sAhlojr3WUMZCVendQt/B5Y3bxQgld4VQME7AaFY218bSgrFZt1B5oj786BOcPkvxeW23QZ93um7TYrUosiMhTdRcd5JQABA7x27vipXMu67Honf4pG1hKoPf9it8S3X40C9xV03yrxn+XSxX2IzzHPAO1WCjY7e1iqAokxAiudaVCiTW7J2jmK4EbUhjxudrjaZh5e/ydwC4urqgjfnpyfMhjCdc/GWjnM5r3LqXNzQdoEdFMsVTFoIYI+WFBACNZnDf0hZJZDfD2oEPVN73aHPOVWMMZQwYxkPFF2Q2aHV1EVfrFt87OUUXAv6vv/tN/I33PsAHV5f46RyDKEv0Ee1GZFcAsyepxoKZGAUEK3Me+sDQfKpNMQJA4yat+cLY0/JebNS1raN7b9YdCQ33HeCzNI0PQO8ZSmGpiwhbSYiT6+59ZBFtcL0GkFhkQ9OHQG0efCSjVY41AKisFPJNMM6RrVFrPdiEvrJ3B2Njtw5UBke1wWE9wuvTfbx28QR/9/IxVsrDChhHeY4H9e0Vrd2xqjkORVtAl80xkGHSdxuszp+n345GWM7T+qKVwq3ZlN577/get4OtqA/q6T2YfMipZ4cw4/SbzvW4yDG/q8UVzk+TsebaFqvnT6k/Ks3s6tcCG/zTwwc5dAU4v1qizUbdZnlBTFMzuYf9O6WfPVR48eCQwnIsXQchEdN3VyhWhfMJrpueneHove9Be0fes8Urr2L1+hsDAy0iMexTxgOw6Hov5wbHMFSqRpXbvzZTWF32KGZxagM6dHmn0G1yJgDnKIevUgr90vNBquJ54jp2MFhlWPVABOGFENAVOQylKXOB1prX9BjhxbjvnafpoDVfxxAZPo08r6MPvAapAE72oGhs5grQPCthNaO2h5ZGCoDXz1eoQoSRH4eIcddj1PXYX25wuu7w8Ke+gK6qyEh92bKDOP8Iy1f2b5N8B5AnUoxY9i02eREdVRWmdYUS7nhQj/DvvfNL+ObqFGf4bJ27K59ezr3Hf/DJI7x5b4bZvKb+2GGb/3LK0/Ua/4O/8TehVYW1T1GT16Ur25U/vDI1FczWBJjZmyFLBWBqa/ypo1fQxYC/c/X4D7mG/9Ustuvw4IMPMFmtyDjr9vZx9jM/A9V9Nq/MrvzBStM76K1k9aNPETFXAKre4c6HDxGMwUdf+sJnfuZLG2glnyUAbFYdnfwmTYVpzmdZWUNu87bvcb5IkNm6a6FyQLiyIJP+BZhLJOC0WtPJ1hjWXjI2BdACCda0Vfmcdaa0AcGSOjIjSp5YUgU0AgX/ahSTWxsFYxVdM0srshiujlD5PYxSuHOQvIIhRjSPWPhPiWDmLx0dD2I7fAz4J09/iP/4+7+PX3/4CDFG/LnXXsO/8+7P4KcP7qPKGkMH9Qj/zqs/jf/gye8gxAhrGYKo6hEFeEIxC9bWFUNf1Qg+W+6ud6jbNbV/ET2MISA69qC0Iq1UbZgwYMG5zCpjEXP/BWPhI3uOisfOe8/eIkhGGRAFyyc49kiH4KHyWFgt1wTJOudIxNL3PbH4UuAnexjkHAr0BUAHj1i8WMGj9x49gKVzqF0Jki0aWRLeym1SvFshIgptqwIPAIkzQQ4akQspeSjytbLQJT+b8MAoraF0RddR3FdJD3NgJiCUcPcrgBUgFYlX9t5hXTTndEQJZA4hoM39FJHYWcTsiswwk7FfWrEXUmnDjGDF8yc1GOtMlc8paIH6RxgCSiWWp3PpVE2er4gB1Y0qokkjSylAWx57pRityBsjTY4YWNcq5aCUDViuhkYKOxOzkGf+jfOgvMEyx6fzgQgLISr4AnsHJjJECFKDirz4K2T47/rFnxmo7ML03pMWoBfPjmHoVQzkPQCsthyKodL4bAakIy4pPrPF826NPgbMTYVbzSR9H0ClNH7l8BV8q73EQ0EeqWqBGPQtsUij5/Gt/Qa2HD4Va1BF57DJ2mWhb3HxLK/1WmHU8n2lU1bFXgSjd6IXeZ5sVkv0Fwl6XS0XOD3JcOdmg4uHSbhZKaDWRTBXAfUU5FHXnBP45PGH6PJ62q6u4Pq0ho73jrF360FpdKDoP3oPVxAMrdHM98vbYnH+hOq4Wp7RHJ/u38HrD5/g8PkJoQy+qnD6+S9is3+EUQ71oJLJJ2UsEqIu2qk2Dc8rz3kyvY6AZqicx6qjnKVXVwssr1b53gEm76kaCiZYEtk1tqY575QlQoxWgoC2xUSmVwALKUcAThBfBmEBsXwjjfuynznn2IvsJFObQwGUVgPv+ZA0w9fledq5gdeavqsU1lrhqtLwWmHsIvZcgjsVkif/zgcf4/mtI5yP/5CEal+9+wZdX5xfUaLig3mD44M0WSaNgc2w2nK9waPniQp9sVrBjnL+RqWJyqwANJqhkEYkHvaWWRi1yCtoakDb9IdmA4ymJeZGo8pwnTJAPWbGncwxWY2kcKJQPYamAWsrg6bUt1LIYQxQAbSIWhNgcgUbrfDF19Nk9CHgn3zwIS36mw27+N/vz/GDxXMcNRPMTIN//vxD/G+//4/x3ukV1vld/9az93BirvC/f/dX8ebeMdXuF44eYO/pN/DYrdGMWUdtPNljQ8z1NMia0Rg2LyJKM9zp+g59XlCCdxQ/EUPAtOY4uqWYzQaRNqhaGdgcnaXqMVR+xtonyBNIm1MRqg3ekzETI8fixBjhWl7IU5hMgXT483bZMgNHblgh0mIVBQSVkr6zO1xucl6w0HrXUfxV1zn0XWYWR2yJ9Kaio8KqKykCPEYCKmqsUMrXbCM531J/pJDAPKZ0Q0Z2st85KFMTo1MhGpbAiF4IZ3pminrVctyFsCtjAMmLqM7japE3CBVIyDeEgEXLDOe+5ZP4XI2Iat4rRQnrtTZEf5cMKnjPlpxiKQ4IxlaSCBCNKuK8UnMq+n25V4x+AIOUoq2FLTIIKsI2ZZHm72rBhBtovwtYU5DLyq9K5WDF9i7zprvA86Ht3OC6LP6dCyTr4hwLXHsfKctCiIEOTkCEtnSZ/kPimNzOMk7Xe0+QSd/3tCF5H+FzbGgI/LwYI3zHm1ulmZ1mcuLtyrxooEUAj9or/IOLR/hBt0QbA45Uha+Oj/EnD+6hLqLSxuJPz+7i/7nmGKnp9Iiu28tP6PQScEHvV3WK2r0F00lD12JxlmFzFeEuPs7XgD3kQ+ro6A5v8qGiPjdxBYMS++VQxtflyQnOniWj7GqxwPOTBKO2yyWevv9e/n7E2DCE/tH736VnPPrw+zA5rrntec3dbNbweU0x9QSzwywPhACbDyxd2+I8h/toY3Dvc6+nNg4BH3/raygT5PnZBe0hX/ncl3H/o8ckExKVwuLuA5y/9jkEHxHci/OjxFbK8SKzcE2mE3Jo+I0i9iSEPNNqs8YmG5PrdoHLVYKF16sNTp+f070azcxz21d036YCsdiD2iDkQWy1JaeCVha6GOrKC6apIoFzHSP6EoqRVnh6toQc0/jP7bzpBMxPzYrgPB8qo8rZDkD3BvJaKBYFRwnYX4zwjwAuxhV+7+4+Hk5qOG2w33m8+/wKnzu9gi1OJu9x67s/wHtf/NwL9/i0soM4/wjLr11+hN9fP0OjDEIf8WS1wInU7MrlvfUF/s7T7+OvZANNISl1//TkCI8vPnnh+7uyK7uyKz+Ocp3Prg8ef+PyI7zXr+DyhvPIbfA3Lh7hlWaKd2YHZMq+M9nHaPMEm/jiZrYrn700EfjChx9jJLxf3XiCpz//ywhNI9z1u/KHXq4JffFa4ffevo9PxjW6fNi9nIzwzTdnOFi3uLViHbTDqyVs38N9BqmNlzbQjg44UPd4/5i8D5NmSh4Eo40w1wNiLAHPkUQzK2MoByI0KHcdkKDIYsUaq4X+i2DDBYVYTslRETtLsrRUVASlKZVIBqVshHRMcPwbU7EHDZHz8IWg6ARaaYU6Q6rWWtgcxG0AzKsCnUXMx2M6/VjF+dXW/RKfuOSyb9ueRPmM0SjatcYoOB/wX5w9xF/hqkJD41g18J2HFcf5GDlOx3mGWELbQhdGoNEUmBq8g8selOgd+uLhiwGuK8ZiRAiO+sKKU7XWfC9jLXQ+SZoYUJJQKmXoVAStoXQ5wvP7KDUU6dRa058rw76L5AUp7yo0nUKg3GnD4HOFkg9PgSEuaq/8/yFE4UJXKIyyuhkNcpKW+1RVBUWuVI1eAH8DwU+l+SGK8U4lICulDEqqFKMUwcRQmvTDlNLiVAtoP9SvYzRx+I7UPioiFr2yoBhm1gx1xKgoEBeI8FAMySqQh1IJSC8GD5+ZuCEGEm6Og76VcMEQKpYaWawtlr8fo/gJz/3rzAYfArq+sF8B9qByEejHgLkpA+pjEGlgI1BO4EopeIgxNSBiSC8dv6IxDGNby15OBY2iMKcUz1cdFa05SgFG8/sbmeYGwtMYwbptPnDQsfAWa4XEwMtV45ySGlqI3tYNi3kmiBloQ3gh7u9xu8AH/RI+cBqzECKWvcdvXT7DO7MDelZtLO6oCu+5wrzmBdfFSHhbEKM2RCHeGwNfK9I2BVQk4lZUKTi8tE7je/Jap7bJ47PfoGCqbnXBQ7G7gsk5hGsTMcmMUK00RiVHZwwIm1Ouu5CxWF5dkBfZeWaC911LXpurs+d49smHAJL3r9LlOx0usvdOGwNViCEx4uT5M7qXUxoGCj8fKtxW/E4AcPXgNTSnJ2hOnwOIaC7OIYuKAeOzEwAKoaqwPLqNaDSxFAGgqUaC/c9uf+VZqDY4h1VmuF4tz/HkJHlG27bDRRYK1lpjnlMXaqUHLmnlDcH/RvGarjznkw1KsdM6aBgK/QAieC2Ua6wkU8gUblrpwapRYMoXUrXR4snhFwDYmx1BOaoBRkR6MCpRyuWkwdnxAUzbJRYpEmLVG4uPjvZxa5W8pQqACRGzxQone3O8bHlpA+1Xvvrn6fpocosgzjeOKkxyjNe0GsGWTSg6hJgmp60i9g+TMTO2Fd48SAKvPgac5STOERENw/zQUbN6OZgJpltQTBgi0GTLRmsFqxii8xmOMlbj1Tf36PPzC3ZbrxYbEb9Tk1HnNh1WF8U9yrELB/sa915NzzuYz3D44K30U6Xw2n5qdO89vvzeR7TILdbMeP39734PftNhZmtYHfAQV3AhYDY1MId5wvcem43HWbt5YVuKa4/16RrzI2b39YHH92K1ojiU9cahLwrS2pCCt0KAVQWb7+DWZ/nmASpkSYoYoUNPE2o6PyAWWdU0BJ2OZvuoMjMqXC3RZvFVa2o0zX5qjxAAnSDZEAI6x2r6DqzmXdcjcm/P5hNiIBqR39A5R7EEfddjk61t53qsri7pvgSJKkDmj4si3qFzPTYF6oOFtqlNjw9u4VDbgV6N0hoH+0dwWfE/OIerK667ZAArZaFKvGRgqC7FMqZ/VHaEKjNelTawtaB3ax7DnaNVBWrNIrJJ6iW3CTwZDw5eLFCRoMHoGd4IAAmBxgiMMKHn6cBzo/Ysw7DxHNfTtx4xx+t5IZnjfeSkyUrGdkQKOo8AJhMeu52g/XcdZ5KACnxYukYpPQJYtx3aLBBqjMLe8UH+q+hvsa95IRuThHczFOIjQfMxqIFHwogk0CXkAQBG4ANLVRmaG7XIJdxUgQ52fRdR1Ey8jyRNE0KA9/wbK9J3jOua4z5VxTBxz0Zx33XwObZJadKMhjIaTZaIcC7SQUYpjfkeQ47TCYsft+srABHL6OC2vDIXrkXf9+icJ4PJ+Yi+Bx5tVpDmg4oRqnNY54PfydVTuo+MCQuuQ9kcXa9yjtHU3eVI5n2gOaAUKH5YK+BiwYZfPTljWDYyM7ztrugg1C8ewxRR5qAxz+NkMj3G4f2U/Waz2aDZO0h16lp8+I1/mr4fI9pLlgs5P/8aXVtrBvIvpSXWF+f44Bu/k7+j0eQcwq7vsS4GlQI0yRxFXK54PvzsH/sq7tVjvK5HqLdcN7e+/23c+v63cVOxfY973/5mit2qR3jvX/mzaA+PcGef2a6He3OO2Y4VrZPrhUPfpX55/MlH+PC97wEAPvrkA/z21/9Zbj+Gyquqws/91FfS6ygFLDa0QVuMOU9wPaep2a46iusKSsFT1pEG07LGbrM1SZ4iAuB1qrIsM+UUG1+rsKH9z0tYEyyyDxVEgoJIYTkxRpyeXtAzxqMxtNK4dGEQ/wYAfdNg0kyhUcEUgd+QQlKu6q14sxgRVy029ctnE9hBnH9EZQKN/+Xbv4zXqylqY6EU8H/+/m/gH55+eO3379XTYWBzDLh03bXf3ZVd2ZVd+XGUM9cn6RGw0dXIALytYrdPkZDe0135FykGoPRKf5CiAOjgYNs1rs85sCufpSzqGl5rRC80QmXWjq1itueBetED96PKSxto0sVY1zV7A6qKGI8RmtzQSilU+TsjazHJAfzjqsa4aG8hopMB1pENkL5W5MpvReBiCRMEEmvUFI+dZqZngIAtAMRBFLCEg8TfBp5PRUxFmTsvAQ1FrE+zBhiUgHg0ZpMpwXfaJvbdPVXhj5n7ODKc7/Ev3nsHv375GDAcTBm1RtAR/+rt1xnaQxLu/M7laYb5pBXP/w6RIY/gmcWiQoDKzBytArwq8I5HFEHKStx3YBwy8jU42UjwKRERitcrwhiGt3123+gQUVXMzLFVx5Ca4byVWlvy+GljiOBgoIndGaOGpU5W9GwgEslAYRt6G550yWGjZLC0STDjluNGG0Mn+6jUILB8ADGKa6UEi3CLoUQsX0hoT4kKR0RBltAyMNZwh6QZkE+pEeQBUuCUQFopuk71KMxBCIqXgleiowV0pxTIK6kV6xNGca2VpiDglBey3EYNGFHDzXuofUjthmE1risSdkVUW3Nc3um6u4pPJcyheD2QuS0lZKvUsC+1EhK2or+15jYwGuRpjDHB9vnHnIZH1laVyvBvCK4JPF4k5K/BUM8A9hFp8pTm1GMFti8P7TuNGALWKuB5v8Ht0ZTe8UEzR6MUOgzrESPw5ng+WKd8DHjm2Bvqpe6TgK4jXyY4iqD54dfluJOfc3/kORP5ZtzLge6ngqZNIeWCzGM1ekqJZ7RClb3ZClGsKRjMjUHdI7ZYwNk76gNcYUgHTe/hnSN4VikF5RhWk+MqCUKbmyfASxeV9zBAMpNTk3Eb8tqrYbJKgkQvtMg/SzfI/+8z/Ku1Rt93tNa4mj20QXHfhhg4vEWL/VU8Q/KCZH+X+tI4ikp0vVw/NUrjpXk5qHy+rxxsIpcthnlqY4gIKmCjFRaVxb5ATPYWa+g27WNESFLpHkcLke81/29R1fgsB5iXT5a+YBfvL3zlq+T+bzSLvXUGeHSeHj4zU/zCvfsAgDcmU7w5TdBGVVW4dXRI96qzWz/GiOWCVd9Pni5oMXh6eYEuD4JPThe4WCVDbv+NMfbvpfuu2w5XWU1+ve7x8GGCTrVW8BuOVZIbXb9ytCBrz0bZWI9hsxjnxndo87MnYYJ9nWLxGhzgfMPw6ihmt6UC/q3/zr9JA3NyfCcJ4HU9mv/3rwHn3Gl//O7n8N+Ax3fXj7H2yaW6anvcn0/w5+6/PWj/p5sVfu/kGfoQ0PWc1LzqGTpbL07Q55iPy/MLtBkCTDFWZbMG5xlFQF3EGBExrthANg0LlfZNRQZTFyIUDVCDWU4IPD2YYXqUrtsuYC/TUkOMImIgAob74lmOxQBSEu9SRpMpja+qGRGkarTlXH5CSmCzXuLJw/cBJAbo+clDeobck6UhFoMhdmldjTCZJBj8+O497PcO6uSMJrvWGtPju7hYlOwIPS48u6m9WE2ScEe+b1MN4A/egCN80RtQEaoI1UbQXPLeY5PZZQBwMB9T3Q+ODylWre9HmY0MXC4u0Wax2XFtMZllFfXaYm+WsxLEgKqwm0LAZnlObbUacWyEU6zQPY49IX9qZKBzkGsHBVegVhfRdVk8NARmhMaILp/ft/tDxjoNcncqhiF638NsGcsKgOocFA3DiO4ytae5J+MHo2h0AV1qQ6fb2LNOhnMh5cBFtnOLoa/SOMyvg9ryOJo2FRlAxjCE7j0ozsb1LFTb9x5tVyRoAtpOGh5iw3B8r80lz0vnmBmsdE8Hr1FVYzJpclsqChHwAZjMOOn0eJ/X3rffeoOe8d73v0sHm+90V/gijgiaHtsKvzK+i7++/AjrElbgI471CD+/PxQRPmk3eNStOcTjnOO47GjC2R0Cq60F39PBwiiWTrIRGAt4nMJfxPNijMByxf0s8vAuo0bRfVcmQOU4sLGuMMnxpCOtMB6/mX46G+Po9V8EALSbNa5ytoEYAz75AUOKScQ7G1y93Gx5jC0XzxFcgnddADqy4RStZwCgStYFBXz+C+9Qfzx48AB7VY2Lix5jO4ZWJR5rYMqn9vAe4zXvK0Fr9KMxvLVwdYN2uo8YNSZCJN33ntpm72CMOtdpb8KW1GJxhNUqQeLrzXPMxiUMx2FZgrldj5NHH1Ldvv+Nr9Oatzfbp2vTNCSLU40a2OykgdFA3o9sXWE0n9K9mhwyEBEppAoAdMPwf+8Mjam+5wOLjxMU8WPEHirvQlp5FiDWCjbnfA4xDhjtVwuGOJXzZHT+cFTjgQj8Nz7gzte/i/feeROTGYc51ZtLvHbJfQIAS2NwUhngU7xu22UHcf5RlbrC86nFvXOeXlNT4b+7fx9/Pa7xu+sVNICvzu/gLx+8hdvNbHAy/dvPPkB3TTzOruzKruzKj7N8vT3Hr/b3sF8lo1RD4Y8fvoreBfz66SOc9h0+P53iL9x+A3fHs4G58E+eP9yJC/+YysZofO2gxmuvfwnNJG3+StVQFDyf/jc9O8HbX/tN+p23Fk+/8GUs7z6Aryr0nyHmaVc+vfxwf4avXCwxzc4BHSPeuVig/ugRnrym0Y5H2D89x5sffIxJ1w/mxnvzKYZuyB9d/kAQp3StA3wolqgDhKUvPRdDYTqI68TIJAel1ignksFvxDlTeMwh4gNfBDaGqAr/TSI6EukQf9hOo8PPVoJ5NGSZlDbaLu/fmePwySXGrsASwDvTA/yV5stYuc9DKYWxqTA1NWlQRQDfunqOf3z1lL0/su3j0B17LWY0ePEboJ6tbzC4UFzH1/1ajAMJM1xTR/7x8Nk3CQUOa8ZvcG1XDsbasL9edI2/+D1AuLcjQ+jbRdxp6w/x+n9fBwnkO9EzxFy6qW25qsMe4luLe9OjZTvwn5WAAdRWn23XXYq8Dp8sIYIb2ipe/494fQ/eWG5cz7YHwzV3fLHeP+r+N7/Pp5UhY/VHPHGwaIlrbI9ViDEpn4XBePmUh+T7iLVTX/85kLxuIXuUL6PHr18+xl88fpOAormt8efvfA5//PABfIyojclkJ2bPPlpd4R+fPgHGkqhx/XzfXgoEQsmwJOR4Ubh2XuUP4nVN+intItuWGL06DtaBwe8G4Qei3i88L9J/GTK7wUs62AtV3if5b4BCrxU20wkwLQZaRQz5YqBVG07LV57iRmO02aNDqZ7EPiHZ34M9JOpr20+OFy32c7UVIzdgSIu1LbXTNWv9DfvGtlD0cFqJjRtqa615se43zZTtZ7wwVgWmXa6X1uDbezN85eyS5sbIB7z95ASvn5wjKAXjAyrvKP1TBHBZWbx3dHhTBW8sL22gffObvyYq/lWSIrhz93U02UJ/Fia4cNl1OR4D914FADy42+ILbyd3X1Mp3D1i2Qst4p4KbT49pKeX+fZ33sciw5ffee9jPD05T79tIlT2HV+sNNxZHkDOYJwZFRqacnXHCNgNP/uVw4q6aH80h83w2epyhX5TxDw5TuTu7QN86a1XAKQExj987xv5OxG/9c9yomit8Rf+tT9Nrt2Dew9gshv7j//5Pwn96ofA3/9tYJ0FGAHs2QZ79kWFYQ/gYbvAX1s8wfzWMf7U8W0AwN/8+9+i7zSWoaHZtKIMCtNG0TrpvCclZi1ixZRWsCUBOBRi3E/tpACvOFZu4+fMKItTElxdtxFAem8fNqSW7jxQNGgjVEr/gDQBXO6MGCPWK15YnMwDuXcAU2W4ppmklBFIREJyDmtLru3aNnjtnTQGvXdoJuzKl9kKJs2I3uP4cIYqs7o8DC6W6T3e+/gxHhmNNwYxYwqraNFlcCXAQFmO0bGCjZj0UtNv59bCZrf+atPS+HbRweV2UwA2ZbGLkeZDjBFxWRjOQL1v+b77DAE/+cSjJAkIfQOVc53uT/dx736CbZtaYT7J+VrXG1x9nLX0godaFGg5orNrWj76ESigdawtq+VrIGRs0YPhWa01ZUcIMVBcSnpHZlBBQKdJYoePPAQ5G87VV0WFyugXllgbIwv/RoOxyWzirX6jXKiaITVrK47R8h4mxwF5F6E15yalGE4R06UUs1sBIAbPhk8EWXxNZWjzipUm5mzb9YiZLet9gOu4bSinfARl4gAAJ2E05anJRhMNk+f/eDLF3n5qg9GowV6m8htbY7x3TO2xdBwn+Prbn2NI7ZV7tEE9/PgTPFuv8b1Vi7djgyLn3RiDxgzzw5bXPms3+H999ANchoCJ5rWsFbymZdeiVN5abp9Kazb0RP+lZF9FMsejztcGQJUhSqVSrsryszpqlH2jbmYIRf232QdMWhfWV6e4ujxLz1udIFz8XvpONQGOi8C2g6736A33ju5T+yzOzsgIWS2WNE6Wmx5dPnx3PqDLMW+zcYXjrGLQ1BVu5xAfrQ3mB4lZqbTGWz/zy9Qfd97+KsXDjcaHMJph6tKGac4pWD3cxiOS3JPPcYIFav/GN/45fWdcj8lAmU/3aO+bjCYpNhGA0j3efDMJsI8nGlWWBOnaDqdPnud2Cjh5wqEYv/u7v0XXn//cOwS17+/v0XrrVhWN26gVScJUTQO/nOa+a3B89276jlJYocCVCiGMaA7EjucyfEXGXqNHqDKDRVkxjlQHhbzvaBDTXSFQlpoYI6LuyZZa9he0dpyfneBpH6BCxE/rGkWoxoYA272IcEUkT+jv3b8NPx0D3Yu6p59WXh7ivO64U8qWN4I/LtY1BywrzTFTiEJlPMYhXTmyr0wp/k3xtKVroRQet70G11nNQ5tZiaoP7rv1eyU+52fzaVmeFLY9aYPfaw317utA18P/xrehz5fXZrEBgD4GfPvqDH9v/RTveTb+tkuMcVjXa54LxEEX0TvL74jN5YUvvvA38TnVQ1xf/0qfoahr238QBy69YeWEm6+lp1FtvbjiDr92jFBf3jB+tus0/HT4b+khvu57Lzx7WJEXny6MBHrHrRvIQFV1TZsoxfWIGF5j+7UHTSfnhnjeNd8Z/vhTRoPC1ni96V43/fya+Tr4nXxDXPs+w+t4/ecKLwyHm6p33fyLsv2x/Z75ydd4YV6mDOvIa9MAmSh6V/HF95aekKLvpjTQGoXfnARcnZ3ji3qCmd0We0glAPhkcYm/9fhD/PbiDGF7zt1QXpxiNwy8m77xwlfkPFN8xS6paztt4NkZeHJE/xXv3LVjhtehwX231kP5fTlWaU3PfaHEPie9U9fuR+qmlrq+bKMVcp283nMYrx1HWuzhN90n/fpHe8tvXvN4z0qzWIlr4NrxErf7Xn7jxfaPcr7Ha1qSPuKnhhixUsDfqwEXAr4cNCa4vh8igKumxrePD/Ho4OCmofKpZReD9kddKgt85R0sGw18+0M0Ty6hF2tonwb3wnX4YHmFry3O8TvrCyzHP/qWu/LjLacq+XyKb/J58D8Go3NX/qDl/YtzuBDIy/L+6emuP/4IytIAf3/zHF9fO/zs6ACvNTPMqwaNsWidw9P1Et84P8E/O3uKD/oNfAgvZZztyo+3uLqGqyrYvkcEEKxFP3rR07krP75yqRX+8WSMRwF4p+3xIAAzJO1LrzXWTY3Twz18fOsID5FT5f0Bsj68tIH2+Ifv07VfnMLkxfLLX/oK5rPMgLv/JpDd6R4WAQl2Ou8VfrhO7sPGKpyGoqIecTzO0JYC9gzbudX4gK3m0Rwuu+ab2R5m2eXvnIPbJFzg/niGz7+TXKLKqJQIDEDbe/yzb39Cz1ATXkCKyC2QXMIlQ8GkGSFkWK3re8qacLDX4PUHhwCAzbrDwx+m+67bDn/91xLsqLXC1VVLsMf/8H/yALNZhl82DuXMYB8cA3ePETqPs08+wsXTxDz87g8f4u+9/x1sYsDa9Xh4cpHuqzRm49TOP/2zX+V3qFih+WB/jCq7jh9//H1cXiTX83K5wHKZGSVKIxYxVKXRIbP7lIIRMGsRVgSA6ZQZhPODQ9iSh67tscwQmTaK5DA0IqxhOQ2XTycxRFyeMaTWr674GSNmjcZuiT57DTf9hmCKzWaDdt3SfVmpPcJQ/s2Afs24ivRQ7s1HRBuf7+2jyRkt7HiEmN9pHQ1+3Wv8Toxo+x5Xqw1aAJfKgE22CKt4so0FMm/E52q1JKaU8ZHFXr1DJ5g8fIqLLAUAhUnOVKGUwuGtV+hEeOfVt7kPugtsVj39phzRZnMWJ/bRYVlYss6hmWRGYghQ3YTac1SL2KG5IbjJ9BqK4OsNQoaplVLMOoWDz8zNFCRepE4iKHmAUjgQIst1zXkTV0tPeTS1U9xvtcbfevwhfus/+b8j+ICu77DqO9SNRt8VSELj8iKN73e//GW6f7fZ0Cm+W684IbTrEEpi8b6Hz9BzaCKl1EnZKURfijzBTsTNtIJtWWuWRa6tgjIM2xW1CacC2lDYwAFdpFgA9MLsDDJerOZ4UKUr8gTNj/YxnaUT3J07R7hzO629o/EY+3tprWg7RyEhqS78Tk8fP6ZrHUHujHEzwTgnOe+P1ni6uMKvocPq7Ie4Or+CVkDXBVxtOqxCQB88XOAQCpmzcDbmAPU+NhSP1flAwLeDQlGWMlHkQQxg2ZMY0YeSOUJB5wAfpYDRrT32LneXJBe0WG7g8rh9uN7gskv9cXm5wNVlUgzo/QnW7QfpcQrY4B+XlkKQzEFheM5qDpWoQyeUATx0bt/KAkWR3+iImDUsvQLWWUTd1hZ799/M76Fw+/W32Wuma/i8vnXOkbTRqGmYhZ/r0B8e4rt/7i/n5LgKURl0o+TXUYodU4sVM2prcxsx7+FXi3Oah6dnT0h6aTweY5yFdO/cPsIbb/y51H7nF/j6b38NQGLff+trv0v3nQvD8PT5I8qIsTjX1IZt3xFj2NYNQbmT6QyHtxIruG4ahKzqoI3F/G4R2VWYjeYAjRcOfzD1mPbd1WqNPscMrFYrLFd5/zMOsEWgPKK3HNKwcXmNjIlFzg49nvvjcUP92swP8KyZ4DxE7I9GmI1GaR77HivXwVuLaA1BuzFGQL88gxP4LCQBsaH03QahJFrt26wKDUTvyUqMAKWw8VGhz4NNB9CkCUoQk0vsDnl/2cUblQKExhLBnWBdMq00RrkhlNGwOSm61Y7iWdLveWAbEewYAifT3YZUpZu3xBRprahNXO+xyrRjrRRW6w27gEMoL4cYAwa6PpUFqgph2sCNshFigXWh+sfACV9VoA2mFgrFtWVV87pqUGVqsrGW0uoM5CUGGAtv6Kn5hzph17u3Nd8XvXCNy5NzJLgkRukpFmlctoJDFcQiKP4WQ6BNJXhPEzuKWC8gEvc+pYrBoNDbijGlcnLo8rn0h3dQ6JTCKipcEPoRUNJBbcNUg1aTEE8MEBUT7SB2Q4hm2G4TSgGV08KUcWsNxTVqo5OMC9J8IO0zPYRwZZMwVB5Z9gAxPY/mn6ZgK6U062cF0VbyUomnxKHq0KCtRL1SaqS8LmjuN6VBBiFURBcCPl4u4JxD170o1hzB0IpM05Xi4NLnXrRf9IrUzoNinTBAaCqFWNZhbGO5A1gHW0gIvzX9ZjBUt2ou32Hw6VZ6H8UdI9qM56IxFjbHDllrScrBha37iuK9F2OVn6G2n6E1PIBF9DjLa33nPDaurFPyjYZP0dLQDKzyLxOURYhUVqJFY/4b3ZnsNvHbEn5xDW6cILf0kXOe4sPa3mNTYsV6j3VbDOaIzQDu5HexmsePN5Hea7tNh/C/Gn621UIxguOBlYIxVsxH4IZB8yLcqRT66RRlrSlro8IQSpb6mcP0cIGe5b0jAy2ILOPaaIxGydhum43I9GI43RiGcyOI7B3OBZjcZq7rKOON3Gec62lPDc5xKj/Ig3bMmn95fILHrdR71ODDEkIkvceIkE8j6ZrSpsXAe842OUt08mAPyan5vAY2dQ2TDyN9r9G2heUpvcpxMB9epvzBZYp3ZVd2ZVd2ZVd2ZVd25Q+lvLQHzQS2/Pp1yXsFtFenaENyDZ73F1g9TLfcO3qA/aMkVBs3Hmc5B2anFL5/yQycxyP2YvzKL7xBXpSrs4/Jkj8/P8flZYLDeteTmqcd1SRiOWos6gzdzCYNvvBGYjz2vUedobsYI7758WM6VXWeoYN5vUeehc1mQyrQRs9gc51u39ont7CyltiCuqrw8194hd5j5D1Z7IvHHyJepXrNJ1PywHUhUl67ylY4fiUJ09aPlzh9ltpz07W4ODlL9TAGB6+n93j1nbeoLw4PDlkoUygxX202aFU6RW/UGXRMv/UBECkeEbLnyxqNNzJ8q6CwNxvTAc4FRR6y0XgEnRlUDhaqLyeTmE4nAPq+wyrn4lNKw2SPX9Qak2kRQ42ULxAAZmMhjBsiZY7o2yX6fJLqViu0q9Q23gf0fVHNhzhiKcGyUzg6PKQ2OTw+pJPffH+fXM/GavIIB2iUc0sXPTbErIvwMb1TcD0uLxgucCITjoQ4296Rizgl/i0e4QCF4glkL6YxFWZ7qQ+srfDG6+/kNlR492e+Qu1zdPcVEnZ98GqkZ5yePMcqQ9muW6PPjKEQe/QlKbr28GPBqgVDnHUd+NBeG04SbFvE7NUN/RlCnu9ae5iSoaICwTu+j1gXj7sCqoY9jwfHI+qP2WxK8/20XlF/hjZS7lCtmDXZNHMKF3DO4+I81SOEiIv83p//4rvc/uslnYbXK2bbXZ6fYrNOTK7Naok2wx/GVGgytKeURj0IgWCWcfCcAaNkLwGSwGpxgFRVRZ7NGDlZvRmNoevU5j4GTIs4JoCuZUhtveJcvFGsvXfu3UOT59ODV+9h/yAzdZsaoyy6udl0+PjROQBgsVjgW9/+dm6ngIvLMm4V9mYT8j588fNfQJVh8+lkmpK9I7HgC2NyMp6gn/v8jB59vywNgs0m1V1rPUgsfrEU2TAMoxRWBdhCSvCxIOLw0aMjT09EGdyVVjiseRzNI3tgJuslvcfJ2pMO29c/usLlOn3v0cLjMns1eses9hiGgslh6C7huiv2Eq02rG81b0hnFXWlYHNWnVpp1AUBQsT5KiMsusdV+5Ta6nz5d8pr4Du//5scrnJ8l+b4dP8IJvfNa2++g8OjBAPevvsAt+89yL/XFNKQgCj2cpfQCi9y7V5dXpAnqDYVXVsTaQy37RJ9l+bYaDSmUICu7XD7dqrDarnEdCIUCCKzHzebK5rfelQjmuKVjchaxAiuxSqLq7ebNZZXaZ+vqhqXp+cA0t7XZsa/goJt1yjjaCRCY5ziEKl2tSIm9HpxhWVO+h6tgs/i+EEBnWUvXW+5j8uYB5KWbhkKe/Nj2CzOPp8doslhKF23wfn5RW63Na6ysH/T1Lhz93ZpHNT1zWnTrisvbaAN0kSwRxTB9Qh5h+rXHZCVseNsDhuTCrH2HjG7wwMUukL1Tn9N1wpQFWPIzgcy0Fzfk5JwiIHhlsirtzYM+1SVxcE0LbSd87id6echRjRPLE1Bsc6iriuCC4J3BEXWxqDOi1VdcfxHcknn7wdgf8bR/FpAPL5dw2W6bxQLfnCOMiXoagKTO1qbGi5vVK7zcEWvwgaKrZhMWOJhNp9TPaJwNdt6DFOEJm0DZTiFCSFRiCLFisZ4xPUbj1mted3yspVSLzHMq22Z/B5lR49Q8CV2RHOybAC08McYoapKfM6K7KHv2d4KHjHTn9NYyyrszsP31+P5ZRyUOpb3qKqKKOTGWtiK4YUyjmJkAy1ERQZsjAwxBx8Gm1AUbuuCuAAYJChTEBpHkBBgpH8ppVDlzdfaCtP5Pn0+3zsi+GM8mVMfVHNDbv3ebVBSYaWYrpJqJiBSUm6FaNiVH6vi7k9GVqmkNgwbOSPSiwXLUK+OFAsUPUDNHgGZvlEaMVXNsGbTcKLpSixczjMAoxUIGmlGFeZ7ZUF06LLEjveeDLTpbMbPFYEkCiAopt2s6Np1LVxpS2vRNEWNX2M85kTyPvC47YX6P7jJYCwhp9AixCAERYdKExWyggxMCBRWkAxJvpaSQ5IYPp5MKC5ovreHvf393MaclmfTerRd+v160+HqakHtdHZ6Rvfy7Yb6otu0QJ3hnmbEB1EMwxvK/On7wOzQEESowzDEQEKsRjEzT6lIEZ0S2ndBpAFC5INXBJFEFCJ4FY8wAqp1PhLb+3LV4zzHZ14selxlA83HIRA76E2JlIp5LY04Hx19bWT5gFVBhAIo/r33EX3pxBARRLLveM4SFe3qit6jXW9ojk+XS9g8aOZ7BxR/undwNGjrocYah1Zch8E77zg8CBqmwH4iG0bwHiHHX/WdJYPHB0/xu67vaE1HjEljqbRZcDQ5QtTQUQrslrbxCL6kHgy0J7rekXyXMQadkGTymzXXUQ3VH2jbaDcIub6h3SBkLaLgNXw2e7yKcIEdDOIcBC3aQYv6VrZGlfuiqmrKwNB1Le0JXd9TKEba07jdr1Ni+LSygzh3ZVd2ZVd2ZVd2ZVd+wspLe9AO5+y1Ob51SCzO1x/cxixDi1ZHsvgO9kaYj5J1Op3WuHc/n3xdxOmi5CHUqEYZVlMKn1xykPLlYkzJolt9kGkxQIw9Ql/cxZpO5z5EytHZ+YDvffQ83xe4dTDOvwW+eP+YTnvffXIBl6332aQh+Cv0HWL21OzPJzjIoo+jMXuiTK0wyV6zGCK+9PZr1D6rS7b2nzw7QX2Rg3dfH2E8TvX9wQ8+xPPMrlp0Css+ff7RJw9RjTL7ThnUqkACGjozLn1kKCSIFApnVws65ZwsOpxmUsqyr7AOqY9cCHQ611qjqdM717XB3XwaT39kj8bJuiWPmO96FNXSzgdiF/W9o2f3zqNt2cWuTT4xRkBSja3mk8VoYunUN56w27puGgoo7adzYu61bYdFTkbrvMdV9qBorXFwnNhsSim89tqrdIqrRxV5oZbtGqvc5pWxNJ6NqWCK4CoUVBHZ9R5dHneh73F1xQzUMJKeQEtj2DTsWfB9JHZbACe1b0YTzOYHAIDJZI7PvfXl3PwGh0cP6D30+IDa5IefPKeT5tEeM3cfPnmI09MTAMBqucJSnDpJp897bFaFrQRijUKBRBsBQFWCMFBHCqxFZQGT57vpYaqcA1MHjHI9+tahX7bltqiEl3wuxIKtlsrpHkFl5mdlEq4ApP4qXqamgssn1giLKhPGdAiYZJJOM2YPmrU1B/4qQyfcarlGm4PEq3GgJrDWwuQcgVpr6Ep4BoLIFaqZqWa0pfE1njTkNWvGI/LQQoiLOufRdkWo1lMO2hAClpeci9gIsoM1zNS+fbxPwdp1FRFc6uOrixVWub9PT67www+eAAC6rsf6sohuB4RNoL44uDuj9j/an5J3bLNeoF2m711enmHTruleoaw9qoexHEA+M7N8XwWlBDwkvdlit1GKPTsqBloXovdw2QvT+YBVWaugcHqW3kMBaAqur4D5aEPeo8uevdYXbUSb+23UaBTUygdPcHfyjvKaFITP4hopwvRI4dYwmtmJKhogMPmkLHUREN4YGYIRKbcpAFwtWMT09HxD46oZPya48+TkFPP9AwDAT/3sL8H59J353gFu33uF3kl6+Mm7KLyy69WS3u/48IhCb+raoq6K51d4t6LH1UWC8GII8G2e3yHg7bfepAZ78skntNasFlfkebTVHkLOgDASYrhVADGcI1RGMAClDbo8DrQPeP40jWcFhSr27IWvRWhM39PzEtkhE0GcIyWGWFVAzknqVURX2MBa0f4KAFU1IudtXdc0TybjPdTZg2ZNNdTmzMUag9GoeNksuizCrlSiOHyW8tIG2mTElT/cm5ES8MHeHPNpWjCUYClORhVGdVkEDaYHycBbtx5R54GoNPQ4p6MAcLFhWOWirRDzYPdqnDLnIi3MlLhZg1IihRCxyZBXiBHPc1JyazQ+f5iVtGPE7Tkvrj98fkULX1NZovuujEafZ9GoqbE/T4uPqSyULuy5SG5eADgYT+kZH5UNEMDV1RJVXSQ/HKokNY/nJ+f4+KNHAICThcPpKtX9ankFk+Ee4zVsiS9TGjpnR4iQCwpDLMtNS4v/svVYZwOk9RouKzH3waHLo8oqjUmOzzPGYD4uhmyk2CsA6PqO4uVa58kV7CKDeJtNj04kge576W4vbu8IJWI5RpVgl4LlP6q6hs0bdGV1ZsICvvZkmKxWa6h83XYdbXTaGMwFzHVwyIZN9lWnd3KOmEzBRlLSrsCq5AGghTEEhjid5002V5Kva+4PLaQZPHoygIJj6MZWBrN5mgOz+QHuvfJKbjONZnxIv9cVS52cXTyiTawyEaMmPf/i6hJnFwnCWixXWK3Lgq8oPYzrHa6uOIlvUeMvrLXSa0b0TTUz0Dm2ptKa4mGgI9nxWgVUpmxUgJUQJ8FawMhW3B8K3FhKwFmGJSqgNB0WojGIlJUiwOT5p7xHnaHJSjCcS58CwKbroUze7G0NnWV0dFXD5t8araELO1axbEwUgtqIyIZbNjINbxCj8ZSMstFkgrqsD4oFSJ1zaPJBxjlHhljwAcEz9NyLDXZUc7jBdDrGmBjqMcX8IBlV52fnAIDnz87x6GGS0IiB84fH4AcG+UQknZ6Maoq5W11eEkTTblZos4GWDrOF4RZIPiVCYyQNMSWMWSMGgojlyc2S/1+yvrkduj5guRGxYqVJYoQV1tOo7ug9kv2ZQzOcJoOrqhQqVfqgp3zVPgQ4anfAC5hZLLPDohQZl1oJAw0aRYonbsGoLHDOMHiMSQGgfH+1FtkjHO8h1hoK/2i7HuMcx3t4fA8PXkvxyMZU10LO6ZmKPi+lbf1An5dj0CzqfGh3TnHWkD6go5QlkRN+x4Dbt/L+GgLOnj2hZ5yftSxtEyYwBVK1GjbLOMWgUOjSIcg84orW+oiI1YIPL5eWmZF1xWN4s9kM01mV9873yxWhPTwg8rlLKWJhAoCJltc/LRwGdkTQ6xY9d8B8pvhmowcsVxn68TJlB3Huyq7syq7syq7syq78hJWX9qDdyyKIAHB0uE+ny9GoIXflqKkJbhlNJmiyK75qRhRMp5THrYMiGBnw4Ycpn2UEcLrkfIMHt+7A5FPu5NYrCAWemB7AtZmBdXWKdpE8Bip4Ep/s+4AnJ4lFobVC37O3QwbfTuoGTT5G6L6Hz16JcWVRZa/ZZDyCzR6tiIgNBRuKIPUYcZ49OBERi64j//g/+70fkKW9jiPKkdd6jfl+IlFcbs7g1vmE0Hcw2eavjcHePLG0lDHoRNBiKU+fPSO/x0cPn2GdWWHPL9a4WhWShYaLuf2txSTDtE1tcOc41ae2GiFDe4iRvGyp0Ud0muw7IKNDcD7Ax+JVUgjRUhsU7bIYI7nJ09/KeUZBCgCeXi7plLhcWzpxmuT4BpBcxwWG1rZCM019pBuHeT5rWGtx+879fFcF0zQEfyz7ntzevWcGa0CEzaccpQMMiiBmRGVLIK2hYHJrLWbCo7zu+ZwTDDMhbWWorzw8kIPaazTQOV/h3sEt3H/lzfR5M0ZfCDRaYyyYRBvhsTs/vyKo92BcQfkCWxnUTZ5zwcPk069WhvL1qVYDOa9tBMgTp5A0eyiBMhg6190Y0WfG17iCzd7YSteoslcqooPr0n1DBEr+TQ2NWfZqKSgox8KSfQzsDdYKuhJes3La1g20Sb8PqsLVqkDGAeuLNBdjDNhkqOjg8IjbbL2medj2jmCfg6NbGGUCQNfO0Of1JIZA6wyHfqeg9OjYgwawB60eT2isTubMDK6aBqbkHvQs5Nr7iFXO8+udw3KZ140Q0XXsaV6vWhYYvVhQnHG7WFBQ9mhsUdVFfPWKmO5nJwucPX8GIOmjzSdpDTFW43NfeLu8FG7fntF7nJ8/o6D2xWpJ48KFnti8UTEcqKzBODNqjbEYT/ZzXwBr4Qk6CQJq04beoxMOU9d6avdN57DJ7dD6gF4QgYpzJBG0eBHseagmgonMZ1schsoSgaa2iiB0F4A+L2gBIHFYQJGHPj2br3sRpuFYPiv/u4QxcAZawUGCNhrW8nyYT3lfvSVEXhNRhgkupewfHmOc0Zr5wRF5fJXW1D4hDIklZV21wstZVczMN9pCKWYcF8HoGOLAI1XCQHxwWGXmc/CevMYxRhxkVjEAnJ0+I7asqgy51Z2KgC/zjOF7KA1lWbvT6EJsA0zFrZBUCEroAo+PzjPK4b1nUleM1H+28WiKB00pEoRWWqEnwW/ATCtq+L3xIXknx9UENq/Lresp/MZ7JjhobdDkdVgpkHanghrm1X2J8vIG2h0eSHuHLEkxGo1QZZfobD7HOBtltq4IMrQ1G2jWetgMfW7WG3zj4TcBpM79kIWtcfCn/wKJLU6PX0Fhjs19B5Up/88/+g66Ynz1HeDTQtu5HmclRigCz55f0n2P9hkqGo/G5Npdr9g9OhqNKBZlPGlgs0xA1zu0hRbvA6IvgyHgIjOlYoxYis30G995SHFudnKEo5wo9+7eFHsHaTN5enJFLJPYd7DF9W819vfywqcU2mK0CAvtkyfPKT7so0fPaPG/Wjm0eTAor6HKpmqASV1gjQp3bx3leyLT+DLEItNSWE2Lad+2BAl0PQ/8EBTKcIqCfRVjoJi5oQ5rgA/sJT67WrJL2XBe1MakZNkAMBmPyWjXtsZommP7vEe0ZXxVuH3nAdejBk20tuspZqB1SizeEXWORaiCRwNmKdZVgdk1vC3K/AbzEbvDTyENNI6tMbUSMZIaShd4qILJk3x+cIwHr34u/TZquMDMKm0LpJ0NNFU200sy0NYHc5giAq0sGWgWDiYbT0YZNLl9ohG7hVi4ckAaLZYlzhMAfFejDEodGtgcY1RpjzqHHvRhiS5mCZTAIpFaAfOa20oL5X3vHW3+STg4XxvOgqBNA5MTofedQsnt7rqA1VWeizEg5Hl5KAy0C31BUE/bezLQlFJwGVbu2xVcn2Os2hbrTMcPwcN15f4RKkhswpLR34zGBINPZnsEEypr6BDr2w1CNs67ELHJchqu77HK8gsJ1mTDYr0Skgjn5/Qezx9tUE5Lk2mFJq9Nq9UK6wxpX5yvcX6a4oWaZoT9STrI1NbgS1/MBhoiVNXT/Hv27CGtf71jJqaPkXCW4Fn+RluLSTZyq7rBrVtpznkfcJKznwAgFmD6h2AIOqBMlFXr0eeDc9v16B0bs2WtSYXHLQp8HfnAmH4jDDp4+o1WgaBXY0AK971Psg9AOlg4ISxticEdIZJKwDuGL330ZOhEROgC10FRvJFS4FAVraFs3ry1xvzoHt337r0HzKoVsJjrHRmge/sHzOI9OKRwA6XNALIcxs8VA40PfFVlUCaf1pbaRv42hDi4jxGZSdZrPtRUNxhoVV1BlXDzyiQjDYADG9Ea3C9Ka5KwUNCwVkCOZKmkTBNl3HrHDN7OM7Tbdh3FGTrHoTFNSPFlQJ5F2WiNSsGvhSRMYIhzb8zyTHU1gs77QNuxUye4QH2kjUaV17wQPHzOihMB6ZN4qbKDOHdlV3ZlV3ZlV3ZlV37Cykt70KzQ71BCQDAILS0lgmxtVZEHTGmNNgfGdl2LJzmQsN20ePwk68BEoF3xM559+B2YDJ1O9hnurJsRnRp0PUO1l04gle+APln1fdei7ThdUlhnb5pSgKkox2A9mlHwbu9iTg2TNblKCg4oguh87zgXZPB0ag8hCq+EwmLjyZJfrDd0Inz8/IzysN3an2Cyl05Cd+8fQ2XBz2cnJ7h4P8G2LgAb9usn3bdUQ2onrSvSDRqPJlBZnFYbj77kNowBJrJ7f5o9aKPaYJpPY1pJ4z4iiAhZH5gdE6NmmFIb8iQoJU9tkX3sWhOzCSomHa3yLcWMKye09VLQKrvZS/tBW4qylGPNaINpHmvGWmJeKkQ48OkzeWHzuBWaO8GozIYtsAh/p8/95Z2Dy2yc6HpUUiNJMaQTmbAHXVXkRRlPJoiZIFLN9lAheTX2946RU1uidz1Oz5K311YV9g+YJLBqO3qN9fIcffbC9O0BnA25HQKa7PGrHKBzjxqtUNBDb4SYroLAy1ViVeZ/eZGiTGtWWAo+UGBz1XBCFYUaMVTU7rZ4NLUmtjMUsPYdezQ1pwpT2tMYNdZSMG1TWQrK7TWQHcRwBojk8Q1YBQ7QLaWua7r/dDphYoXVpKvomgp9nzWdug6j7AGLkXMxRkRidad/8xieTvdpDZnMZqxJKMaHDYIp2jvy2iMq9siHiMssdIkYcXF+SRDX4uKKiDKJKV/6JSJkfbv1qsWqiDi7njy/45HFwX7ydNWVFSSdiNXqivXmrIUq4R41Q7gBmjxE48hhAcbWqOppbucGB4dJjDOEAB+5fYRuMyA8613viezV9Y6gTBc4F2cQ3pwUXF+C8fk6tR0/QRmZrounPmIgopNSijTYtNLMJlcMuMUYER2vva1w08Vo6L7GMgMcCEQEci4SvNeMRmgyU3s8meK1zyUBam0MDo7u0jPu3L4jCE2i2QJjuLPZnLT6Do9vYzY7yPVocLVgRrAkMZFYrNjtq0qTB22YEk7D5/W6cxFdW5izCiZ/7nwgXbYQArPCkSBiSrvW1ET2sdpQPYIPBPvVVUV7u7U16jymUhLHso5LDxpynufSyfy5NpH2wqANIVcuRvQltVTfEdtZGQ2jstahUggt5xh2KyaeoOeBGPtAW1ulDHRhW3vW6NRKkfanVgpRCW+vG0yIH1le2kArcgzpBdjFGCJLLWhriU1Vj0ZoxiwWu8oD5vzsAl/7nd9Pn7ctvvOd9+m+Y6Em/73fPqHrV9/+WYynyXU6v/MmRvMEt+rpLYyro/wiHRqkgbJeXmKVla2D77FcntIzYi0gzoNjMsSci/AZLjVNTfEjWimEvHj0mw6rS4ZAfMcwECqW3Hh2yZvp07MrMjC+9YOPMMlt8lPvvorjrNx/eHuCd7+UIIKvf/07+P1vfye1TwQWobjJNfZyd2ktXL9mRIve/p7F1JfFjUeuVSCDorbAvMmSEhrYm/CC1BeYFRFeSGC44AlGDdAsrGo0baQx8GqYYqLyRhACUBbsGAmqTiwnGcvB7uUuMtS2Dj0lI+4C0OXZ0YxGmE/S5LLWYr53QO1kS+aCGAdJyaNYoXzw8HnR9YbzLkaxK/i+xybDRr7v0a1ynKD3GFteQb0VjE6RG9WMLLn/x9MJ6hxTcTh+BUfjV/KtFAmfrq5avP+999L7NTVee/U+vcfpcx7DF88/IUmTzWKORiVjr7EBzSSryTuFRZvevTYa40I47iOawoiOoHEOJKOQKOtOGBiaBWV9H9Bl3GI0GsNkyQmHiOizCn+0GI+63Bwax3cP6T1+cPIh3TdWjuP1TCRov2lqiq3aG4+wl2Oo2quAVWb1dbGHraa5DR3aPE+k+r8sTdPQxtF3HTGr+m4N79I89s7RGgBEtl0jG0WJ3McRaqYekcEVQR9n5nOGLI0huNq7AJsNyy70WGVpBeccHn78iNrp+dNnVPflxRXVfTYekSSCc44gzuVigdUqHUSV0phNs9r5fIRXH+QwBqNhTE/PODnlZ+wdHbP48WjCB1RdQevCSKvJ8K6qEa3JxlbY27uV+8JjNDuh+xqxgUYR07BebWgD3XSOJGh6z8ZsMrDYKCvxzQrJ2Czv4cVap4Qsduw8hTSk2LBykDGo8ztZBVSCaVouQ4xYbziRttxXAyqUjq6aCap8UOz9BiGH33RdS3uQnR5h716Clg+P7+CXf/UvAUiHieNbd+m+t44OBKuWhbut+f+392fLth1XdiA4vFndbk53e+CCBNiTCoUiJTMpLR/S6rGe66Fe6p/yC/J3ZAqlpAgFJZIgAwABXNz+NPvsbnXe1IO7z+nrNOCl6iFRsj3NSKy7z95rLe/d55hjTGaKVlVBc8owWFrw227E+xh3baxF26X4TE9Qn67zQ4NGmvSCKHUqt6QN9r6z2Mb+KYVAKbn+qzgmrTG4Xm3oWYPjsVHPFzTOiqIgIeV9Z2nDJPUCVRXGcVHOsFyGvuqdh6VMMR5VBnEW0vH+I2M7WyHpkOGGEWM8jHTOoY+bp8FamBgeoosSpxHu9ADsLsvqsdqzwkDnECOE4KShQ/esLqHiQUhaCz+kEApQ/m8HFtZ33qHtWProQ+wAcR7sYAc72MEOdrCD/cDsgz1oOZvDeQcRIQWXMT28Z7jTWAtE9+iu63F5HXbZ6/WGUo+M48hMFySvSnZ8ijvxod1SmiNVvoeJp9zeKgwxeNdJDxlzaTmHLHhSQJQJYhEQmQ6TGQ0x4MahJwirKVlTBoIhL2st+iFpGFlsIxtOSonZIuoZRf0bPtTlrnhmmkqpWE/KcTCsk5oCVb0QpPMWYJTwHvMFB2KeOU11XjaGGTgZI0+DtagK6VFHSEwKoE65yLznVCEeUCPnwZJKk+tea0AkpkzeXkIyawZguASCg+M9mAUmQIzK+BSwvzqD0wXDLUJqiHjEDamaOG1TEsQUQuKOqo/P5+Bekf1ZK0VsTQAUsDyOI/rIDvTWECwmnZ3cushSVhnvqRhKFFAxoP54eYp5PCk+mD/Gg3mAhIbBYruNaUGEw+lJhKPKErM6eTcFSs3jr6kktEg6cYI0x8qmhIqBuHuzx26M2mCqQJUYXFWJxXwGwANewNpMELWoqFKMqZAKohXneBWVSE5QaF2SqG+hKpQ6jjNZQMY0U4XOcrF6D+iC9eeEI+9vAEvvuPYOKp3CvUPpuf9UsQ6sZJZq37NX2xhDnqf8ehyzAOJxpLy7zloKcxAQICk2wQw2IUBeJABQVU3jxmZYm0cQ0AVC4HyCV+EDcgCE/+6iwLI1lvvaREEraBQSFJyJ3nrHDGkpOXdoWZRoIiNwNpsRC9p7R3MW4FGmeRFAPVsS2aGom4ykUfLnRZWluanQRPKB0gXqiAw45zBfcBtMk5qByuHh+dp59tB7zhUswCSim5pTJmOG5/kzs+xeQTQXPPdMapXqM/S3dJ0IWNIL8vjAA/M6E7AtlkQAOD46ouD7vt9iTN5Yp0hEtq5rQk7qqmToXEq0uyR4LbACe5SHpiLPS6EYHixLRe9lRkcetK4fSejWOoeOcryyaG1T5hphHKYkBFevkEzQgVDswcxyfUohUMQxoJRGFcki8EBZc59q5nP2oGkug/UOMq5Tdd2gin21rmaoI0MV3sNmrOYiJWuFh0IWbiAY7vQeU+Zm8qZlITvWewwJrpaAMUOqEA73EAJm6Knn7rYbWmsqW2b6iAV0DDGQzqOM/UApCR1dfs5ZdCklnfc31ry/bB+8QTMZpi1KQZ1nGLmyQhLaUBH77R6jC5PPq5ev8d//2x8AAG3X4bvX7Mq32bgbrWG3omW14Itv/8CDqPgdRGTAqfkjqEVY6IpmjnmMg/DWYh4ZktZZdNkkURwt6b7r1RVNEtfv3tAGrZ43aJrj8HvbU5LZfdfj/WVwI2/3Hf74bYilK7TG3/ziJ1SmnFUkJQ90O3QwSUKjqkhmY7Pr0MX8bL1eolXcyWeZ4qeOwqe//NXf0We/qbJksTlDxHaATzCjpQ2THQeSFTBmxH4b4l6c89i2zFpr3zKkNttLmkBlybDB4EbC/EfDMIWyFiKJBjsPoXgTiEyY0eYO3AziRKZoD1HQBk/VNaqYY7WZz3B0lqAbhXlk5XkPOCPoOjfhHAvie0+b1qPZDEdRbHm/XWMTDxP73Z7EP4W3KGzMYAGPZTZyHh5xrNj78xXFts3UCZoIff/dr/4dPo1yGk8fPMWzByF28uL8El9//U14XrvH2UmK8ZH47JOS6rDLWH2fPKpgTHiBB0cK81moxycfPcbyOGzej981WLxPdH4Q8GONw8MmbfAFUCzpvpANzdS5uroZttSXetvDxuuqKVFFuRGnl1gUp7GuDKrIqJZKYPkwTMDOO/hhRQvl2F2BYms8oQioKPoEaPyImY0xLhY4Toc2eFRxszA6i30Vnn1+zrkNc7HOfIPWdR3FwJhxgE0LpnMU0CSFQB3FNKUQmJ1wJpWTBw8Zxq6YCd73LMzpHOsvXF9fw7swb1yNFhfvAwS4vl7jz1/8mb6/Xq3oGbNsXM+z3LsKLCBsjcUQ26KpGpzGnMNnpyf47NMf0Xe6KAFkrcUXX0RFdiHw67/9O4qfe/qjz1j1X3PGDV1wjuKmmWEWwwrCBm0Z7yVRxFzCzjmcZLAdMqkYk60VzjmCA3vjMETG+WCZlVlogVmVYhx58+S9x67n8VAorhMtOabKZrl08xydAp5EMLSQqFISdiEIrvTeU7kB4KNHcxYkfvJryFiuo0cfo4jM6Ys339F8enV5iVVsz0dPP8JPPvs0vGtZY2hDX/DO4/rdGy7TjqHhZsFKCVWhOM7NcZ5oZyxSoYZhRBvnb+cBkzFQu+jQ+Hf/Owt4Cy0hIsSpCk/C4LqqoSPsJ/Y9nIgbeq1RNSmDSIGTOOc551AlsXnvSYAWAJYnS3JumG5PccndICjObXb0EPPjsG43zQJnp49j3Tj4IY1LS3Ja3nuYjlUZeuyR5pAgDxMP187ApDyisBgi3DmMI/ZxnS/HElXNseaz5iQ+A9iev0HaLX/lLcH/R6dHdCA/Ol6gjnWyOFriaayToioxT3Jaw4CLmN1lNAaXwwp/jR0gzoMd7GAHO9jBDnawH5h9sActtxziDLAmQ5w5HDgkZo6xGQtweq+bDj8+9bJPmlhP6WNyjRu46FJ2RsMMMRWFt5BE5Zk+xWRB48ZaYkfl75HnZwtlyj066baCvIVCOLRd7lK2dEcpJb1LVZWoU0oarSeMs7Tzd5nGiwAHb+ZMm4l4YAYzygzeE4oDJkXAE8O118y2EwJlBj+NqU0BNE1D953NZlQf0jD7UTs98aCRuKW1kJLLM0rWQUOWR9SITE/IMsnAe/Y+CMnwmpSS6kwoSf0i5GvkYOJk4gYsIsDwkVIKMsFrGQXVO0dtYa2FS0KLnq9xg+Wqs/wdKhPE1EJDRQaPzPP0GTA71IbAZgBQsiDGotaKBBG99Jg1DY2dxWJOTMqmronVVVU1CSTOmjkWUchXAOQ5dNZB+XTKFfCavbVO1FSDNtNhstLA+5QXT8L4yMCqOD2Ql4pEPqVXKGT8vhIQqQ6Eh9YVzQVKlpkeks8cp8wwC+lfUhsIKCSYhZl8Ctx+E0bazckmlXrSLcT0D/6OL4lcM296b5H9XghBKaGc5zyG4zCgjcyxrm3RxwDuXEA7eIgk/eNG173xumlsIBsbglmOgsUxnWP9N+cdeQKEkJBKZ/WVlfFmbEBmNPfm86Lwk3k7f/f72uD2felqoudF4p9CkBffA3QNBK9Zeo6UYvJMhlSZOOWzsuaw6833pdRlACrN81AQgE4w8wBLhBoLIiIoQWETWnoQVdtJEloPxKwEB/u4fkVIfihoflNew6X5zVvy/uVanGY0FPrjPBDj6+HhMRL6lXnQRN5vU01M+51SnLKoKDQJ0mqlJutS8raK6HVMNai0pvGt64YbWQkkvfiiKGlOV0oxC1oI+Ii8uBtDNLcAlWchVnes2xM4HZ7WQg/euwghYTMUx2WQuDEjhEtsftYOHIeRxtw4VFT/SjNRRcDTHgPe8fUH2gdv0MqG4y7WW2YV1WVBOSnbrkUZBV5fvbvA6/cBJtts9sy+Gh27vZ2DTQEt3qMfDU8NpSYYVRWa4iCssfBxceouv4U7D6w3p2r4KsCSZT3Do08+C5/DQiuG7r5+fUXlMNcr6jQzpaDj4rYdO4y7FQCgkEBJrHiPMro0bTvi2/c7evdvX7J7umzYHX6auar/t//13+DhgxMAwC9++VM8fhJcu+dXX+GbyOBaXa8pXgEIruj4EIL+1ltO1H1aOMLE57MZ5R9sqhnKPK9gthmk6xsTU1I7995jtWPq9NWmpfbedwNNmn3HsTxdPxDc3fcDJeoexxHrKBpsrSW3f8g9x4yWzXrNcPN6xwrUOrKMABydHOHsQYDnmqbG0WlobyEFirhJ8c4Te8d7D50hp6XgzeyzJ49JPNmZFj4Ozs31Cm9fvwQQhUtjQnbhDQoX6kQJ4GjB4+Gnv/iMrov+PUG9H81+gqYMk+LSPEe5C9DPaiexehnqQQqBo+pTAMDpDPjp879BfCCaGb/8b372t9Snrv/djjcIXpHUxZNnn+DoOLjZe2NJrsB7Cx83VcZYEjR13qMzXFeJ9QkAfZ9tpPs9TSwGjsRljeWDlx0MTDqkWAOXFiE4jKKlZ/y4OqH7Xr59GfJDAqi3O6h04HEdRJzB23bAYAPbcCEbPIn5Sa3lnKD9aIDz8OxFloc1j0cTghfu0GfTBpChLwlOZSyFoBy6AlNldmM9M8E1x6vO6oY2aK9evsTmOkAx//0ff4vf/tM/AQCuLi/w4psAaUspMatSRgqFo2dPqJ5IcgOA1jJbUC0tELO6QBnhucW8xHIec4oKj9X5KwBBwuIiQvZKF/jkp/+S6uPh0x8zA1VUBAcWgsukICmHIpwPgpwArOANgRB8WAKA2YzHRr7Rx2TxL8LgBuB9T/PIYDyGGJ80miC7EcyTNEaA7XhsHFecm3FWS1o0fabG0BtPm5Yg2RGLBMexhvETIGzO/tUnHLrw0Smzs79oXxKEuD5/A5vezAk0kYq8fFDgxxHqLRVQX38e6sM6vPkmZpJwHqssrGQwvGGXZc2QalnS5l0LC0U5fS11zNE69KltnEObjesEcf4//p//H7p/2WQSOcLQzkeXHlWElWfzh/j4kwA5llpj3oT+ZUaL7ZrHdA4LS5XFBhoWjf70x5+RsPHl9Q5tZLhudz3lIF0ujvDsSWCuO2thIjRvzIgX7SU9A4a3LfsVC8xv2j0dRjozYIxzem9G9DZJYvWwCHO68SM6JPUFYH+d2KiAz/SS3l69pOtHj57QgRhg4eWHDx/i4aPAZH7y9CmeRUF6YR18Un4wI8ZrHtcfYgeI82AHO9jBDnawgx3sB2b/QxBngIrYJi7i7DP6/CZMSDea+i7Fja/cdd/vvc7c7OxW5G8IEXe8OV6R/SbPesPvfhuWTfea3Je+w9Bv+u+d9ZBDtTfKmmG7d5b2pks+ldVZBxvZLs4q2ES4yLxnwR0w/We48z1thGk1hTpkOMGRQCifJnK4JYcl07/TE/PPlZIMZyiGhaUMUE667+SlbpXitt2qK2LaccP6e9olvxb5vYT4nrqavkv6mnOePGuT15Uy+1zQtZAM74QbiQm7jz1oDNv67Bk32dWY/Pbu985721R4OOvr4PeYjqXpjSd9O++32fvSF25Visj+LSbvy/fN6+P+tmD24/Q6/05etrtCCm6N9fv62422SJB4EEXO2+LGj6ic9/2Nr+/r9rff6HadCCGyaiVuZ3r6nfU8udc9Y2MKceLOfpB+dB/ieTfMKKbjL3ub+yDnyfW029984K1nTMf1Tag078e4u7zZWuGFn44B+soUDr6zXfnG9F9+x/vq6u71JB9/t6sgG7vUDz7gHeBx11x06z18/ns2kdFGp/NlVmffs3/wfPNbbfEhkPrd/XwK+YbhSo05mWt4HsnaNYNXnXPkEb459j8U8k/2wRu0kyOWdqhrVuiGBMZIqbeOCc/X6zVevHgBIKjnpng0ax3KyL6CADFDAMC2O7oe3cAyCNmLuqxSnFDEBHTGwvcBZux2V3i/DWyuoizwy3/5L+m+reVNwbcvXhGU9vU/f4t9hPWeD8DJSXCJFoVDWSQ3sie6tVlU+NnTJ6kKcCQ4j+U//fnPVD9fvzun63/zL3+BWYTVNqtrXEeG4LvXL/Hiz38K9ba6RlPzIi1KhiNNb+L3v6YyXLxnKOp3v/vv2Eb48+TkIWaRBr9cHmEZ26+qaswXMUF6UeLBgwCzKiXx6CG38ekpJ+49PmPYSApFg6sQBSRSInlQf7Y5bd45gpqct7i6YnZoHqu33TGM9v7iEkOSMxEWNu4o236P/ZCS0gvKCAGIKB4KQAZF/WRv37+mDnN1/p4WzZNf1BDzUA/v37zG9XoFAOjbDRDd4bbfYdxexnJ7yJjb0gC49hx39qOHP6Lr5/ojVjZfV0jEtf/rP/4B4y4IEAvZQMjgWldCQJEQaIBoAKAoFX7z60/ovo+eZtkjFNPx23YkhfTf/+4fCS4oihmKMrThfDnDw8dR0LmQWJykGETgKCNxPnnCz+g7Q/V2caExDFz2JAyqtKKYpu16g/NdgCKHfsT7mCHEeYf1nt36m7HjcowLmvjq6jGJO1algYoKp+32PVoT7uucx4BwL+ElpEr5RYHPfhbEq+dzZjw2WahAbjaDZl2W5PimnEap+DAhsom1yvKw5pIb3W5P/eu//If/C3/6YxjTX335Jf781Zfx+xJ1Yo6JVKNh3mgzRXYBw7E8yiM1+MlZE/IoAqgKSTke53WJWZ3UNA18hHpmM42jx6EfKV3i419+Ss8wMLTZFJbFP5XtifUrRAMZs5NY06OL9+1li33MWwohSP5GCMGyCwCMz8S8fb615fo0Noc1PbHRjXUYDO3AkBvnShdohac5SUpLcg7hJxH6lILEqFW227Ojp5zFUgKIS5OzAt9ecijJ5Z6Tere+AMmHiE2W2pY3Lp1zBO9qqbHTac2TEJKZjnXB61Fd5nI9nA9VWB4zrR3pkDlYm+XsFPAp/tE5ihMNa0+MA8uSpe/bLa1LZ0cstjtbKDSxf+ZJxp3vsYkJ0r0TSOCbg8dgWfx4t+d33ayv6V1//a8e4SSuNcvHRD7Ft19/i903Qbx6t9vg6z+HOpdCoI59ylqLwTIUvM/yBL+7uiBpHDMO9DybeSGElNQ/nZPo06bKeuzivCaFxNn8hH5zeX5F110/Um89t47i5I6Pj9HE/cvLP3+Jrz4PAvxHR0f403/7bXiedRQDaL3DRc8M1A+xD96g3Qq4ToPg3iPKB94r69w3nzH90e3rMP7uGsB8Msnv62kcC7oP/+2OE+Ot6/tP1pTG4sa73Ldjnnx649k3HIv0/buqJ5QvXOe79cm15ySyzvH1Xzp5pPKJ7EXICxmvU8yN5zUknq/4xEF6Qo6vvc8+R1gY04ZLSUl/C8H4adEUN/pO6oP0lsCkvf2kom+2ce49zD7Gnf/4npPP1Atz873iz930RJju5wDyFgZuhM++P313kd2X351tOqH672nn6WnxrrKIG38U4nb9AmJyfafdW/90h9vPgLjxXrdL6+HvnDvuG5/Th2ZPFZnGm5iWX2SD7756uu850/p3Wdn/wjwHrqfJlEdTlrj7HbOx4Sffz8okvqdOMO0Xud35k/s8Zvfc/a5n3HnbD15Pplu976/R+Iu8Uu55u3v/xYvHrTe8ex65p05ujIFbdfs9fe72+35gvVMXmXqr7nrstN/z2jJ9bY87J6A73jB/ibz+aQSKrJyTCfMD+8G963a8ebr6S5WZfeeWR/Def03n1ckaS16zu9fbD7VDDNrBDnawgx3sYAc72A/MPtiD1nbsfi+rknab1/sNTKR0f/XtS+hX7wAAr968xeVVcBMKISETYwcSMkoJOOdxteH7FoJfp9QGFNgleK/qRYb7IsN9rYHLcmkexeS0ShfEsvHwWL19Qb8f9mv6vbq4QLEOzLO169BeBpf04myB+VmATZSSlPuuLAWEiPkGpcLJcWC7SCnwf/y//t8UL/Xdu3cUF/TNxQu8+OY7AMAfPj/CtlsBAP705Z/w3cvARjXOomoixKkAleVPE8vwTj//yWdcZyUzX//rf/mPuLoIQpTr1RVEhM5GM5IKvlKaVKB1UeJ4yWKvzz5+mp6Es8hCAYAqy5Fa1zXFjjVVQyraZVGiiJIduixRR5hDCkkqzALAfJ4p1ye3P4BHD1n881c//4xgA1UCIsJdX754gS8jbL7ZtXh3HgUfiXgefyPZq3f++gWdZt599zW5w6uiwmx+DCC46as6vKMWFepE/Ry2uNpfxXsK6Iop4KNmmOtl+2e6Pjp+jiQr8fTZU5QqYIh/+sdXuIoClY8eNHgYYePlYoknj5I4o4Ub9rE9JJ48Y4jO2j31W9NzXNbFZReY0QD+9KeXeP/+GgDQ7kd0bVTF1wIyMrMWyxq/+puQB7QsFf7u70IOWCEEPvv0AccRZqfDi/dvsN0FWOF6u0M7pJAGSzT183fv8NWfAqTXti1efsd1IrKM2cIwO8p6QU85e/yU+s8nzz/G6XFom2L2HLOTEEpQNQ7L43gv5yBHVv1vRGgPkyU1z0+4gWmYPLSC3iGwnnMvVPbr3FlLkgsCXhV05/z3f/jjn0hs9j//l/+MP30emHvCO5yehPbWWqJuUk5diSYJ/TqHy4sVvXYHhv9//NOPKQ/lzz97gnlkSTaFh45jww6GpFesc5SDtqhqHD19GsugsXz4EdXM5tow1JfJ3EgpsyrhkIbRZMxNKaBsKoeABku3tJlcgdDcBrWuMo+ppawnRSkRlXigEOA9IOQKLjSjHwnK9x7ISJwxpCDcq3aS2q2SkjKxeKGQglk7Y7CP80ChBJoIMxaQqOK4FlKgz9YjyBKpUgJEGa4LaSkmV2TeEqkKeg8pWKw8qPCnugXqLBeu9+wvGQyHC5ksdKjQksI5SidYJgLslRJC0XoLeEhqAw7L2HZ7XvvUitaErjXQMrI1reFYKm8wRqFurQrMojC090C3JU0P/Pmbb6kOjpZLZtRC0fObqqA5WnmLbrsCAFxdXOCbr8O8URUlHj+MwvPeYZtyWHqg6ztGIDJ69cnRCdWzKCSNWS8FYsIhWOtIbUAKgSbC91IILCvOiPDgiCVPLldrCokQ3tDnD05OY1YW4OLykgSh37x+jd//4XfhvlKRlJXSCg9//BH+GvsfIwnk7nRGa2CtJeDIWjsNhpwgU4nX7DIPpYfPoY3vc8f/Jfeq52B0kU3GADItKyDnYQvnKIWRz/SvXDY4gpc7hwv4fSQNQImToyPqgOvdnlXZz1nTaTSGEl6PxlC8gvOWguKFYDp4+HecFLJYgkJnXnHPhAHjDSnwD32HIU6sUiqYuAHRw4hCxc6jFPZZDEzTMM0bwpPkiRAgDF4KQc8TAOvhSEEpPrzw0Eib80zrCVNigZKsyVSVklTDVQlE5RCUZQEdF6qcYDDF0TDpm86ygrw1I7WrNYa0oqAE9UkhppIkeTAqfzTteBZZnxJgUkOhOO5DCUqXJWSIBQPC4pQ2h84KWPCipzTDwZNu6+ODkMgA4b7GWEpT1fcD2hiPBgmk7ChCOnQUE6ioPwZzdN985DnH48EYQ4rwxhpKb9T3Pbqo79V1e7Rt6kueElDDA9IqWkiCVEG4HsYRkClOxCMJXgipqP2VdlBltkGjKhcos7iev2TTeSVrMNyAle6as5AgRB78lGB+NCw1Mww05golSak9J81IKSdq9XnYSB6KobUiDaqqLFBHWaOqcCjiBm3w2XnWCdLNUlqhiFp1oS5ZEkEIxxsxm83R+dwruFLyGCuuidvwVz4+phEJgkJBwtx2N/Q6XQNw+/Mb5jI4cAKq5SER2YSdr1l+OnVM2jl/oLsB50/gulQmL6gO/T3fwY05nTYwVIZUJ7yVndQBODWVFxxak38OeIpNBFimKO/QOSSXX1trIXw2Ryb9LzeyTpgXcHEc5qEY3nNaqekbTwuSz7EiFR5Buy+lQRPe02HLeQ66D3NhPmfxE0LWnhgLqSSnZFIiiOUBMNLSeJcQtDYJCNad9B6F5vlEK06nGNa7cK2y8Zv3X2stxV1LyRI0zuduhA+zA8R5sIMd7GAHO9jBDvYDsw/2oPVZokfXc57Mq6s1upjbatcOzPZyDpYkGCSdmrt+xHfngRlnjMGXX39H961Kfp1ffHwCHXf+P3pcoInXUgn4pFhuLUTcTUvhSdRVlwplnU6NEt1+BSDse0st6Jh1vJzTyaH4+XPYKLT5zZtzvH8Z3vGR1iiOE+sRqEQ61WqcLSKMBwkX3fVCeTx++Jg8RUcPHzCM85MnaKOb+GL7Er//c2D1vb14i/UYGVEe7LUR6f8AQFBi6stzFsU9e7ik08jZ8RlsrP/j4xPUMXHtN99+jW++/QZA8FTsokCskhr1LLDtlFLYbBMrC1T34d9Z5gKtyJtWlVVQlQZQljW5cquqodyYSipKpCyExCzmFRQC+NHzT+lUpUvOA3l61BCk89FHZ1jG/H/H8wbHkZnadxZjhHSEVCTYKQTQiOT9FBj2W3KDh2qKfUdYiOhW0kLTqXaApWTGcAYglpTM6NWC3XoAPl4y23JePgmwEIBaFki62nXjMYskWd308CrAnapWmJ0kJpFAoZepCaBr9q4UnumW3jOsVh4fEWO2XBbYrAPT6vPP/4TPPw9jazQD2uuYlBsL7LbRU9VUWC4/A1WcZHbUYAc6GY+2Jaa2GUdiE7ddF+AGANvrLavldy16CokQKIt0Sg19IHlhxmGkZ+w3KwxdGLP77SM0ZfTyFgWUmsf6GeFMG+/lAJXaVaKOeSHJK4qppzOMkcw7kXtpwDaNU/a3r0UYN6kMr9++IW/xP/zjf8LbNyG34jDs8ehRgIHqskBdJuamgxKZ1zl5dZyEO05tL7A8ekrj4W//5pes6C5aAvTNOMBFj8X1dYvNdcy5CQkbWeXVTKJ+wN6b7t2KyjR0WZ5fXWUOtJI8M+MYPPxAmDuG6KEti5K82eE9mUG43TBT7elDZoA3JUOcm/VIib43u568skqy91xLoNaZJy+a88Cq5bYZHMOzWgkKj9DK0/XO2PA9hOk1ZaRoConTebiezTR++mOen+Zzrp/O8nhv+2wNkiX1JSUZRi9LnpO0EqjLhLAAVYLevMfQMiR/dc3jr5b8DANJ40TnyvvSTxikjtAMDyUMlaOp4n0GrsSuZ4+YHS8COx9AiR10pLIK4SkFiRcWLuLQUhawlj1/3Ybdlw8fPaa2+PnPf04IwvFigTKWe7d6jyF62C9ef4OrtyFs5eLdW7x9GSBOpTQuL97F5ymcPnhI7x5CQsK9lk8KqoPlbE7r0ehGqg/jLcHmo3Ho4vzlnYeLgrkCAqbNvH9Z+gIhOCuP0iVSYIaUBRJs++DhY5w+DKEq7y/O0eXuz9heRVXiaczJ+qH2wRu03BWcpyMaR0Owyn7foosK5DJP25BBMtZ5tF0ffzvies1U5iqLbWuHBco4ATiPiZ93ygYBX5P2liD3JoSAc0w5loJ/pLNE5M28ho+ToH8t0MdGHEdHlOD8PYQQ9H6T2cMDVVlS2YuSYzjOqhF9TPlxvn+JbdwodSMnoIaPrnLEvVquhRU7Q5502DuGJoqiIJXjeTMjyYFSF6Q4bceRUs1IqUJsRrze7zkFCTLYLiWLB1LqHhGfV9IALMuK0hSVVU0wmpQKTdxgCSEwUNoRgUcPWoY4HcMLQy0BzzEUqZ20UgTvKsGTlvA+c5l7aJlcykGLymeuZXZFexpoQvBEFwbiHfjHTdZThlOkhOgAUKqKJjspBLmoleIEGlI5IKbCEsohedOlBKoql9PIn5in5dEcy6P4zY6OZ1BxQasaBciU+qWFMVE92wi4eEhwlqHWYJb6qvPZRgcOHqyvxiENjuOejKUJ0Vo3iQ1JbRlqllmM+XesMfS5zaQv4GWcCBEPCpn0BTWagCq+fyrL2c7xR3SfO79/H3fLUzAGAKAfOkrpdH19jdXqKpbNUoaVqioo8XpIQ5dJIKS5BR5lwbDKfD6j+lguF5ShZdgPzBBznKrGGIM+xgY6KNjYeaTxlCHAe8APhq6dFVwPCgT95JkBcga4tVOW8GSXm23vTHaYz/tzWWja+PUFy2FoJehAqKzn8AYJgobDe4X/WudJ/f9muMFN6DR1Eec9LM0XDA2GQ1GUdykkFnOWQFnOef0SYxY76XhqEBmEpZSkg3ldadSx7IUWaKoEqwFVSjzgHNoMutMyL0u23mWxmoWSNB+G+uF7OdpUOOgUIgBgXqZQCb5n+H48KLkRIs33vqAYNyl5DvLSwqcMLVbAiLTJCXNKsqbgLDqLxZISixdaUTygHQcMfdigjX1HKRrHvqXPhVT8Hkrh6OSUnlEWvE+YNxwTHTLphBfux57g2cEayHTQ9hZWpTnOUkJ1TKZ9Ht+hDrN0g0Jm8wj3+6IsoeMY3bR7zmwD3utJrVHPWILmQ+wAcR7sYAc72MEOdrCD/cDsgz1or96xwOhi0dAOthsG8qAJqchL4H2AOYFwiklQpFbAR4+CZ8c6Bykiq8EDX393SSeid1cbOgk9e7gkF7/SJYljqixAGt6S+p1SmbaRFJToVACQRUWnEWX5BLt4/JCCbMdXF7i6Cm56s22xfhFgwAcnM1SzsJP3UmKxaGL5FB7pk3BPqXBydAqVAp7nBR2G3q9X6KPI3rq9wtuYL69tu0keTFI6FQJ+5FDoQYWTxjcv3lBbXFxfUlm/ffE1VqsAf66uz+kE//b9O7R98KAMxhDjUWT/r1WBzz79Cb3D+fkbaouvv/6CmLq5F0IqdunXVYM6CnguFkeQGeTx7u0bqpvHjwMzR0qJs3/9b+j0s2kHgorevnkNFz2KDx7McHIcWbSQqGIHa6oay0X0EJYlHsX7Omtx/err8AxnoSVnKCirJtMZszBRNLWQFcFOCpZgyaoosFgGXLIoNE5OjqgOygzifH7yE64Tv0Dym22vPUyE5GaFxulROD01TQkVT3HGDLiM4r1aKyyXDGXmiRNUxqxLHrrQBuxZ86KDQ/SCih0ctrHcHmVkC85nGjZ605xjcVIBQGUw13LJLNVHjyTm83RivsJa7ON7CBQpyN0a9JEt2PcdGP0S0BkbLvd4jONI46+Zz2lcN1VJMN7Qd9hcB09g3TiUOjHPBIrY34SQ6HrW/0uWX8sMfgosxbz3Txgg9Hmug0Zj0nvs1wzhvfj6K0p6boZ9TKQNnJ4doYon6qpQqKK47Nh36HbX4fvGYBchaQ8AEfITQqDMPP12GDDGsqxWOxK+bPfXGMfQv3Y7i/0uegNEAZ88+LsOPV5RPc0Wx/TuVbmgGnCOkYyT0yPyVOuyoDzIShbQcU7RWkOkxPWQ2bUgTzoAVNk4WcwYOp1JyeiAdXiwDHPppvPY9slDaOEJLfCQKXTBg649gO0+98Q62Fim2bwgD9yDmlmcbe/QDuE3VcXCrItG49Eieb+BxaKgZyw6Qd1kZUbKzeq1pxCQWaMJzl/OKiwj21aIAEeGevaEzjghYLP6OV7YjLnJvXLfOQpjkN7CRw+lUJn3zjsoz7qXYxasn6DksuN6Gowj8pr0LFjsbA8Vn1UUgjzssgR09MQpoVClPMbOo9umtUHg40+e072eP39OHrSx3WHchXHz6usvcHURxKdffPUnvPo2iDhfXFziKsKauqxwFKGFSlZ49lFkmwM4PTqi8dsIpkbAOPJmd9sduuSZMyOGJGZrLProRXbGYshyTqtscbOe22Lbcy5qlc23EMA+ooGqLKCil7w1BrPo8XPw6ONcprTGVcdCvh9iH7xBW2cFkZpZGCaDNiAEZOxw1loagHl6CyUFjqNchHUO3p+EgjiPb19eEgt023ZUEYNxrF4u+RlCGprUI/4YX4NTDQEgKMt7QChmkclssahmJVF0bVWiTTBZb9BdhwVJl4rlHCRQxTg3BYmTSNGVUqKpZgRxullBK63s2D3aDS22+zApjqNF4ooGOCm5XQXFoHl4RNgfq2ueTHc9QzdXqyusoyJ+1+9oU7vZbmCybA/JQo0lOEHiwdmDWE8em/UVfW+/b2kRmuSJyti5fd1h6COUCYnxJIOxY9JopRTms5rqaVZXVE/btiOcf7NZY4yJg4e+p0UzbAgipKo16uhGrusaZ6cnAAAzDNi8ZEasBDM0dSaP4L2jRN2I3wNCn0hbYi0VqhjHV5YFjlI2jZwGBuB09oCu3VghVcrOXMMNic6vKNlwUWgW4nWWksZrrScq9bmbXWXQspSWY10UQ8MeIyCiqjcGIMrAKC2Z+VdJeB+/4xhyCvflhNBVydIqi7mDVqGurq/akGUAAWJLhxoza6h+hr6CydS+U7zPTQZWzviqqprDArRmOMuM6Hs+eHmbyiqgYiYBeOAGsYued5fxTBGMUe/p9xlM5YOc9x5Dz5Ps6uqcYHtrBshYIfNZdoDQEmWE0dqdh+vjnS0o3tFnoQ3wQe2eoGBriZW534/0vOvrPbooP9B3AkOfdvCS5C3kOMLKMP6ElHA+2yzPC3pG33PYRF0XcJH5CcGLtFYSRVyYpZR0UAiMQw4pybMrFBlLtSoVrRtaiRTehK5zqJJcT+ugu/AHMwwYKNbMTeDKdOjy3sP23Jo2k9zI5S2qSlEGBg+DuD+DLiRKysygsKwSzAss6sR4BYps2jNqgEtNqDzN78tKoo5xoydzjZNFzHThHcddGguXQlwdCJLz3hMkCgBDFtoyjJmodhZvBwlI6jP8HXhPMdHee4zEyuR7WpfXoaO5RhgLH0OCpJRZqK2AStCqkCjKtM57CBk3jELg+PiE2vj45IRg+/PvVhhjXOr1xXtcvnsNALg6f4dNdCps1yu0MVtBYR0WCcqHx/ExHyyamhUGCuO43Jazb4x9jyFuhvpxwBjHmTEWY5yTrTHoY1hPKBevtQb5ZrZnp44rSZy97TRMrGdpLVRcT0bnUUYo03pHMKpQkiDtD7UDxHmwgx3sYAc72MEO9gOzD/agLbK8dmZgsbax72Dj7nSwQIwZDvBX0giREiLpACmBuom6T85hzKC909MlnXqHceBTBxyJHyoAidijCs0SRk4DNgXmlxzwmnlQBEIuLtoOCw6+9GDf0NnJAp88C16RzWaHTRSQ3JcS7S7uvq2Hj6eI0Xr84cW34Z2kxD/+w99TsOhPfvYZBdKfv32BVczFtd9syfUsIClI1npDJx7vPZzh04mKx5l24KD9TddSPRmvAR3aqR0N9jFQvx0cjEunA0HvJoWAi54qIwXen7+nyug69lwJLyaQZapA61motKoq8louFjM8fx5c0uM4Yj5n7+JJTP4opcSD00xYMIMi+/YKbWTUeGsxxnJoKbCYh/KN3uMJsTgFun2A88ahx7u3b6n+pBQkAFlVdRZsq6kenDHoI4TbdR26XfRKDAMLT0qJ+YIZaT7z/ly9Y4+mt13GTNwR/O+NhfRJZ29ErHaMQ4/NOkBeZVnCREa0EAJFyQK/ZZV5JQomCXjfUDnGoSfvjhQgEdSmqQmehffYbiOj0zm8ef0+ex7ftyhG8iyt11v0nY3XK/KIDv2APjKf+6ENYQYInq5FyonpAWQCnLlXyzk+TcpMB08IBxvzD3oY8v4WuoSzMYeplBA+6RYB+10MkM89xJm+k5TMwlWC9fsg/A2xT35tyidrLbEzvQcuL95TP7q+uiRPYF0VkD6U+8HZKfV1LYMgKgBcw2JzkUIufJJngvMeQ2KUCWBzvWbP+MUVeVrM6ODiPLfvHLbbUP/joDAMEYLSGkXyiDgPGwW4g9crqaQCWpZMCslSke22W/TRWzIMIwlNl1WFqkqw8jTt2n3ppM5mLEY904rm60Yrkk0tn55giGW66iSuuvCl/XaL1fvIMheOBKS9ELCSc66OlmWV319cEUrw8WmBuogIgZI0P1nXYb0P46wuFR6fhj51NNNYZHmiRVoehYcWPN6XleJQiULSWlNIBxX7at96XEXUwQMwiWjhgG2X5neg22fqCI5ZzTJj0S9LJkQpRudRFhJlIvk4ARHXE+uAXdJf9B4m5g3eJ5Y+QrhJ8gTpzHMuhIKIUI2VluZFDA77dRzfokQXvY4CEnUd2cdC4ng5Jw/auFvDxevLNy/Qxtyt79+8wPn7MEevrs6x2cY1sWsxRg9TpVRghCLk1H365AlSZfara2rvfhhpnXLjSO3Sdj26Po4NM5IHzVpLHmhvLaxNLM7UUsHGrC1Gy+uA055Y+g6Sc4x3LWx0CRvhMSRIGx5t7DtKKZQ77rcfYh++QcvYB9crjhUzfU+FHA0wxo1AUZW0wEgpIWODaq2wOAoLnXUOY9x4OedxcsILYK7eO8Khj5N/A3Ypy0Ize8tZCJueocGCg1m+SCQmS4rZQXbNA+LB6RIJu/nqyxZvr8IC2s4qdG2Ez4CguwFg7Ef88WWQNJBC4J/+4e+pkz5uCtRxUrt48QIXXeiMu82OlLGVkBNXt/dcJynpq4BAmRgq2ebgerPhtoCCSBu07ZoTjo8WLnOWar6ET9DnCFxcXNA79B1DVPkGLUeBrLHEPvXe06QyX8zw/JOwQRuGgRLKCgSqPZA2aMcMaxUFleP9uxdwCSJzrF6ulCTlZq8URqnoGVdX4d37rsX5+/fxnVxoe9rQM6NWa0V1bs1Ak3rXtiSymrNllVJYxPgw7z1ctkm+fr+j68CkinDUrqWYCA8JRZtcQ5B927ZYb8IGryxLkvUQQmC+mCb+JvgxYzsrJegAMAw9QdFSCsxivS+XCzyJMXpd1+LVq5eh3Nbi7VuWbFksjrL7DnS9vt6SpMlmfU0byr7rqY9ZZyiUQEneoDFbEPG9OBYsZ9embBsAIKSD93FyHbsA1wKoawf4eFB0AhIpDsah22dJuaPdlMnIc+1N8+7x92hz4Tx8EpUeBryKGSy893j58gV9f7td0XPqsiRl+IenJ3hwdhLKDEfJvW2/p/g6CUcHM+c8y7sA2K7X9C7XFyuCl7wsgbhAtJ3DZpfY5iDpg8IBMi7czlrYxIwT+RYUmM/m2cLMG679bsuL7GigI6xZG8NhK/cInQohJknqz+YM2ReKwzGWGkh7i7P6BChDf7noClz24XmriwvIMR3OHI6rOO8JheLoGd1XVgx5/eFPXxGL9JMzgVmZt3Ow652FQLhvU2o8OQ1zyrxSWJTMvusoBvHmBi2bQAtFjG6b5WAc9iMSOms9MHpB122C6b2Ho7gwDwnOClNkm6amklBpE1gw47UsBKoYFwZjSYzaWKBWDM8mZPPFLoPzag4jKApN7e0gkGJpjDMwEY81/YiRDn8Fep2kPjQ+PgsSGEKIGxu0DVKtXb55id1mBQA4f/sdzqMzYHV1jl3cuLVdBxP7l1Aajx7HDVrd4NmTEN/qncPXmczU2Hc0fIe+p/rvup5Eo0czEqPTjCOtJ95Z+Gz9SnGm3nuMhucTk0GczknK0GOcIHi3NQO6WFdOCfjYRyw8+hgeIpVE3fIe50PsAHEe7GAHO9jBDnawg/3A7IM9aErmJy9mw3WtoqBCZy3BdlJr6JSVBZ5ZJcJjiPiO90BRcXqF2VyTh+bIN+RBaxY1qiYGp2rOPyaFnKQXIq0SncElAdgM10KgmTVIp0iT6cIIwQHvZ2dnqKMgqukc4gEeZydL1PH0o6oSi8cBBu37AV8fv6Pnfbu5pOf/7pt/pkDJ3eYK3kToZrSkW+PhOQWRAJfJezibBWwi6e1wuxRaZzDjjGBQZwGtU/CyyYKRPXxiZIaCx/sr7CPrBR7E2gSCN1RG76S0gjwfXknyPAnBAZP7fYe3b8MJyRiDTdS6k1JCHQm6Xm/WDDNmQbFSSMh4SukHi030jmz3PUET632L88tVeMY44DoyIYe+J5YbvOdUSwieR2JJZcn8hHN0ejLGUJoO5yyVL9cNEgCxkwDADHnwbSaSZB3pzwXGa3wt54jh3LZ7vH8f+k5ZlvQeoa+y17quKmYuNTUF9y+PjqiMq9WKvH/j0JNeUlkWqCOhxVpDbauswn7f0fOGgckH1oxUV5v1mgSo23aHvg8n8WEYCC4I6VhSKhg/8YiZkXnDVVXd6UEbRxaWzHXXhDQQUTOu7wTa2P5GWxQyMlYdMPScmi1Zfn0TkuPPwQQAALmI7vXFJZXz9Xcvkb613+7oR2PP8Ee321MdbNYbFCmsAw4S6WTfcZ/0oNRLwrLeIgC0HXtot7s9MSmbheKwgOz7zlnKyQohiN0ppUBDot0CdZ1ESKP+F/EK2Ltm7QhqSnjIMc0jI8YIwd/0oKX2FlLA2SN6L51NVkryHKslexVloSAiwjKXDcYqzL3ejNgtwxiotMejeYSjVIHmMec0FLMjevd26Cnf7olYo4g+nM1+JPaeUgrLecy1XGtELgAK6Sj9XuBn8dyhlGLfY5nB9BKUwm0cef0bjMNgUihICIMBgoeqT8JYAfuke8lMe9JkDGuUJZR09PskM2esx5BSuDkHadNcBcpzGsqS2iBjNYPNWkMkmxAOEr26wlHZnHPkLVdSoCCPoiDyhRQCfbuhcbZ795a80BcXb7CPUOZ2v0E7xHnKW4JBRVGgiN7XerHA8WlYX5u6Ql0mwkX0wvoE5zpSb/DwrC8rJQnEQirO2S0EVbn3gEkIh/dwA3vN2pE9c04J6rfOe9YUdSMR+jrbo7NxX6MEIVZOeIwqsTgVrOVx/SH2wRu0suQmnTcn1AjbzRWx4ZztMUQ2kNIlu/mco02BdRbFkJgyAs1RaJAQg8bxCvMjjrk5fnhEC4xoHXyciITWUDFmQHhHkIeS03yKeaTZySnDOHkuwH030AL8408foowMwUdHZ/j4JEpDWIsiQj3z6gi/+s1vAAC7fYfff5FgNY9/ePsNPXu1f4sivsuzxQJ1nJCtG2FjbI41zHiVWhCV3cMSBOmdR4lEfeeFpq5KFpJcnNKGoiyPYA3nVOPcoszS8fA0Up13uI6sUvgw+aen1PM5aEEaOlpYC1Y2gZACwxj+cXG1xh//+Yv43o7eQymFWjPs/fbtG86CcHJCmzWtNMrYrttuhF8FF/j1rsUmbiguVit8/Sowgcw4oI2sUzOO6FsW3E3CvQCwa1va9A99B2eT6K2gA0jf99hGl7sAH0yMZcFOCIFmlsXA7LPYBZtDbTlkAcqtafqRYtNWqwt89eU/h3JrjfP3LKGSMkGkumPhUs4ecXx8RJvFrutgYjsPfU9jZjarcRTjoZznRQgQuF5tYpEE9ruR7ru6WrPkzbu3tBFbXV2ibVOMXs8LWoYUOscLtvd+whDU+uTOjVLb7ojh2Q872AgX6CLAOgAgYbCITFgpFIZd0jpAiEHFDfHbmzn7MliTYtMEC5t6xxvq3WaNL/4YMn30XY/f//a3dJ/F0SIrg6OBcnVxSfDJoihgEqXeGYI1relJjmZUhjOvGAvnt/R+2zxeSLHw9dNyBlVzYvLEnhzNgLZL8bEjpEyHthKnJ4+p/PMlb57qmvsUBMc2ra+3BBP6TiBNErn4uHM8Hpxz1J+llDARmgKAk2z8STDTsFAjihinU9YaOh7AlT5FU4Tfz0oFdKtwXTj85EHcoOkKJ7/42/B+AJBlXXj0oKbD6PbFH2C7EH6w3l1jE8dpqQs8exDq8OGxRFyCoISnzBjh3zz+8rCCVF8A0BvOT9ptBrQxvmzXGbTx0GCsw2jSJgI3wk3E5JbpX/mBwixYrLswLNIb6KCx3pEv5gJaZv9KWVayDZoC378fezrkBw57XJ8VoekYO0uxz0p6aMFzyHzOa/X26g3d95//23+mMJGXL79CH6H289UKuzg2WjfCpiwbUmOmw4Z8+eARnv/4MwBAWRQ4juElzjkoMCvWGI47C9ElsXK0gkDa1LEDwMBhJGmZsJFO9+1ibK73Ht2Q5aU+WtC8aK2jvtaOA8Z438506OPmyynAjxxG5eMQUFrBmr9OZuMAcR7sYAc72MEOdrCD/cDsfyjV02gt7fRHa0gEzjpPHoqgVZNc7o788R4Og0lsJYFiTMGMHk1Vst5IyclWmroib4AZBrjEjMMNVlhiwOQqR0JQSpig03JMO+C0ewYAIQuCnebzJQl7nj58BBd3w8IYyMgMmS3nmNUphZHGJx8/oXJvNq/pvXrpMEYhw520SFkxDBynabEW4xC9TFbARdaNd45gDCFAp9oqK55WgtqmLDUFQzorMSb9FSFgE5TpJKzTdNOkI+fh4TI4QmTOByUUdQBdlBSIGbR00g+4HbSuMpc5u9uF8BhjGaT0WG+3ROAoi4JOKW0/oo1el+2+g4nwzvVuj/U2nGy2bUf3cpaDc71z5C0Mz8nzJQkqR35alZnHVUo5hZgTjAPujwJTplquc5p/Hggp7GVIzM9h6Ala7PuOYDEhwPCswGTQ5amlAA5yh3cEk43jSB40ZNpdzjnyJvnM8+GdowBdIST2+z1rDw49nzqNIaaitSOMSczBnjwO3vEpNbS5o+sxI1u0bQHmTPE7dt2e3tG6kVJNheD4LFwhT1eTwTgi8+ZQLXkHdnqyx0AIkXlDuVaNGdFFXaTNeoPLSJoZhzHo8UUbB/YY+MwrMQ4Dtd9+vyfviBQekvrBABMDkK2x1IetdQS3wHsMg2EvgeVyjEPPULl3hOIoJSj0QRcSVfSaVKUkkVQIAZOICITthr8VBYeF1HWZtR/7vYRkwpV1jrwjQkliPEolCYINdkM3MV0J/ss4GtiYB3ZwHQYX+pQxI7MfvSdoSnlBRLEQwDKFtdMcuO8NxpjrsmjmOJIBOi1HhybO/XU5Yhu9OUoA3nEfqfV0HuF653rrLc8RvfHoCeL06Mc0v3ti+3kI6sICET6LpiZzB9eV6g1U8vQUGcnLO6pfCQGXpbjKVjaIWHFlyf1WFaA5e/QygwkZ4pRKEPFLK01tr4RiJQApSFRcANjs1jSk9v0OJsKiozMwSY9NgKFIpSCSd1BrqIgezeYzmteU0sT4JnHj1C+M4ZybjufotuvIq2uspXnROZdP/JQSUggBmaV+lJleoNBMLjOWSXyjtRhterZlsXkBXhelII1ruKBO8dfYB2/Q8plsvW9pwrjc7AnyaAdLA8pYZt8JzbCchcVFXGSlAHwGCX389CGLM5aMsT15+AhVZNe8c+fYRiV0CDGJ25hM5Cm2QwhUFHch8Xf/+n+hxXi93dFAuFztMMZBcHT6CPU8DOZf/pplOsZ2jyEy2KSQaKL73nmHZz95Hstt8X/8n19Sp3m1uaIBvCskyvhe266DjYKh622L65got5ASs+jy1UrgKIodwoVNCQA8fpzFRmSikLO5okl9u7UY4qZvGIHRpIlVwtg0mWrU82MAcbohCAgkpggAnBUNgBvSt+GMIbhzHEeK/fDeoet4sU5qCqPxWGcxT//983+m9n726DHBJ68v1xjiwvVqP0DEQXt1fY1VZDzyNguAHSHGlPh3JKkKIMRLksDr1RUfACQzZ8uiIAihqiqCRY0ZMcR7Gefotx5RyiVZloQ4hxbCBjxCqmNH8PP5+wu8Ow/xTavrFboubJKklHApjsF72hR57yn+I9RdnpSZ4a9Ur0CIozw7OwMA9F1HEOUwDMQsHdyAL7/8gn63WDADCxn8v91saPO03V5jHyVNrq+vsI7jwVoPM2ZtTvkfM+wTwOXVuyzObSpam/puXRcoy5THsIEWUaYFGiIdLiCICRvqjiEPviffP0iusAipoAOFpHi+zfoaX3/5FQDg4v05/sO///cAIvxxzZDj0PdUhjFnXl5f0RjoNjvK1VuXmnJxOhh4ZIMrxjkZY7Frue3PL9f0lbpecD7a9+ekVu8xkAq+dQz7LBcFnjwKdaaUwiwRX53FeseSMGcPWGbj+PiI+tHJ8RIUh+QEbdByUfKu6wiGlVJOYtuOjhgaxHV20ss21BasF7FZb2B8eK+usBjKCBPuNmgpts1jH9mFSgk8qlnl36Kn9+3GHjZuHL9+t8U2xr/+4jf/Br98+kkok+kpdOTtq2/xp9/9l1gOgVmUgJICeHrCr15XjiHH7GDfjSPN75vWUBzgtjXYR7hzzNTrgXjgRXjlpsly72awY9tyDOhsN1KoxbySqCh/LrNipZLQsY8JAWjNc1JCI58+ZejZgCE8seOYY49MNkRrFDEkRUFhjPGfShXEENdKwfhwL+89/vDF7+m+r199QTHU3ThQPXXKYYgHCC8Uyqhy0DRLnJ0GtubJ8SmWUfhaS0kHH+cchGeofLvd8ty0b2mOvd5s0cff6KIgJrKQArpIkKqDklEVwDl4leYvD+EZmkfNgs7byw0x2ttuoAPW4EaMEW72uU9Agg//TuJqdYG/xg4Q58EOdrCD3bTbYXIH+7/R/F/+ysEO9j+dfbAHrc9gim7gwDybsdsmzJ7s/8P3otcFnl3SQjD7BymoN3rBitzdi8l96a5+CmnQxzLX5UF2PX2rAHWka0l/D4zQzBtHTEdJkGB+7b2I4r2BBJG72QVERlKYuq4n75zqUPiMGSmZDScEpabKvQRjHiSZMbGEVMSEVNoTFCO9hIiwn1SKNHU8RO4ng+cDH8FH4f25BiewnxAMDSKDkDLAWSl+tojeT4bKHT3fgeHqXI/KOpfVzVTfjkgQlr1WgJh4lybmv6ct8r6WMdVSX5vCjTfv4yeLu79jacnhNqUU5T0UkuGh0Oc5CN7IPOA93z14Fl0Fl9w5y7CAd5MV7lY+zPhOfc/p1XJx2WHoydtlxoGgLWstnV7dJHWMIA8a4CdsTef4vjnjNU+HM4GcBecbnI5X3Gk328LfVe58nnKO4BZrLOn/Df3AHkznyRsXQg0MJjAt0jvxu+bMxtFYJiJ4A0fqUIKOyNY6DsyP/0sv77wjxndgEycoxSOBWVpxyqJCK/K4SMFkiXC7XLTb09w0jiZj3kqCksVEQFhQ15NS0thSShIzVUgWhAVAEBAAyMyDZkQKAQi6XUn/ykrLnnjnM5a+Jwec8OzlEQDBVADgrbvRJ7P5QtLLc/8UgtnZAuTluQmDT0R5cfeGUYL7pZKCPLNy8ttpH87VEfLQHCl51VBK0vdETioQec5p9gQLyWUN8yT3ncnL3mGhjdMzBK1LIns/CcGqAwChDEBIbURhJEpQ+jIhJa8jQiLF0EglkfixWuXQqeQ5Hdn87v0kTMNaS+PUZPNRCG/wdK/UP6US0Cnll3eIIBa89yh8FrqQVZUrMiZyoXmdHEYe//l8lF0LwSmy8vf4UPvgb//955/T9fnVijryHKzsn+fMrGYWOnoJezuS+945B5MU4AHYLTdut2fo4OHTI86NOYywKfYBHjax4QZD7myA+5wtFI4jjdpbgXFMGy8PC0miq2XJrvjZ4AmnnjcN6kj3dZBEUxZNjeVZcLtKKSguru06/Kd//9/Cs63F1eaKBkMjCiTlYe8cxaAFN3S8rwUQ3eE9RrRxo6iUQD8mt7XAyXF49jfffMFtsdpRWzz/ya+JXdgcLbDQyVUtUJBb3EGKxNhJrRAw880muJq999iteUPQtSwr0PYdLRBCeIqBqWczYl6GjpjFO6QJVAB1Jlx5bXny375jYc5RKKK4b643GCLeut/tSEZi0czwJOYO7XcWb6M4rbMWPJw8Hjxg2PzVq1dMt3YW3qaNt6C8pUIKqk+bxS4M44jtPjxbK4VnBZev7TK4QGTjU3C8g1c88VVNSaLM81mF02NmKBHU4HlTEFh9LIa7vt7S5DP0HV3nUhVKCujYOE2W39Nni5a1Bt9++zX97eLybbZx5LZxI7JYsQ1RxfuhI2Fc5wS8TfGMIIq79x4OLPFyU+k/WZ3lZZ3NjnF8dBLevWrQVGEsFrqAS3sbyRNfeN90z7tlNowZs0OXg4o4xGhGwuC/++Yb/Mf/8PcAgO1mi2+/fUl1Nu45dkSfs4zO4ycP6b3LmiHi66sr9F2SI+l5U+s4M4KQguB05xy2axYSDe8Z7HqzpYVL+I7yetYziSIy5T95doazBw/od2mO67oRr99exhtKVMtHdP/V1ZbK8eb1OX1eN5xL+MmTJ1im7B9KopRhPprNGzx4FCB0rTXlYfXeT2IOP/9PDKmKLHb5ShW0ydp1A23krB7hdejruq6xPE1l8rhMDHVfo1g8ofs+mPOB5x+uVujiHLG53mC3DXU6n5d4+uwUQBivSUpHXRTYxgwOSkmIyIhW0lO4DnzoewRxZvG2znE2FdQFmvinSjtEwjF2/Qgb1wDrPIaYCFRLiWcRR/XeY9xyH6sb7rsPzxqKKdzvBoLYSqVQRlklXUiCS5USmC0i5AzgKDJkv9oxTL840rSJ06WCjAcApWvKcTvue4wxQ4eyEmdNaOPRGMqfCQDXV++QKqrmcC1UD2e8Ye0sxWXtL9cY21D/J/UCdR3mwqac43QZRG8LVWJzfk71tJLMHl5vN7QJfP36NUl4rXc7mq+VKsiB8vTZM3zyox+FzwuJsmHJoS6GZ0EA9YIVJTaW2ZbvdhymVK1a2Ahxf/nFn7GJoSpCa2LTW2Fh44G6bCp89OMgCSOlxJMnD/HX2AHiPNjBDnawgx3sYAf7gdlfweL8gCgAAWYd3vgDQ0XZvXI38o3n+JsMugnEeRsyDDt1ds3e83p0j3v/+L1240v07v6O+vl++Cz/yhSuuduBLrLf3gDU7oZuPLvrvb8bGpp4ZTN3OSCm37vhsp1e3w3f3gkxQ9z5HSAiKne1sb9Rt3f83k++k0NO9zeqyEp/s6/eff2XIdHwzOwVszLd+4ScXSgFhOM+LIS79R0gMqdcupYTGIcgDwHgjjqcwrZ5O31P23hMOt3d38shofv7xV3/vvn5JKTB59Cpz+Aof/sdv+dZefk87i7DtG78XU33/e+Km+/EHpjp98PHwt9fF/f3whv96y/+Ovv0xtidjo+szSb95eb440sSFv4ez+hkbOCe8t6ED++ot3weye8buprI1oS75uLvf6/8NbLRd2M+5D/mY1wIQWueFFw9QnBoi8zuJTMEMb8OUCT/Xgkuk7w1rm/bdAm5OUffXf58yrx/7N81x97TFnw7fimR/+MvzYV3XwN37BPSX7JwJCklhQGJLKXctBxZv80hcCluhUvlbZlMSgGXQ/53FGSyttzTFh9qH7xBe3vxnq4LrYkSXHoQpPT46WM0MX+gKEqIJDZ6cY6vv/sWQOhsVabCvnH80uvRUEHfmy1d90phFiHHYRxgRcK/ORekFhplxFTLgrFspRSWJ8FNLqWEk5ow+SKDfh40y6xWSiDFackSPrr1pTcQaWEUIGjEW4NddJU6Z6EKT99DFjNgnaUFOMRfJKiixsmjJDhp0UVMXytFeTyFAMVfjVmzXe1aih0pr1tUQ3jvziiMMevBclZiOQtu3aOmxJOTUE91pfHRI84v2dkEyAObjaUOut2zGO7q2lMM3DCwcrYZLX3e9x2GPkF1vFGEEPCU9FtglsFGha6QGtwYZkb1fg8T8zIGVlEUJO222J5HSYPNNV59/SXV2fOnLMypsnixWVNjjLDYg7NTlDGXqlKKoKn5rKHk7l3Xkriicw5thDhN1n8BEIU+FpEsn1SkUpTD7fTBYzx4/JS+432+weL3zZOJd1kevd12Q3Fn+z3LU6zX65DkHhyrEb6zwTfffA0A2O52OI/QgXMW6zWzBdebay5HPslk8WhCeI7VFCxhM9nFeQFF8iY+W/fvXzytcRT2dvH+EutVhLlUCR3HX6GLkFEBQRYiwWpSSpydHt+6Z15/OfMO3pN6uekH2Mj22qy2uDi/AgB0LSe9BwTmC86ht+8YKnr15jXXTVZnu11LAr3WWJLQ0FqhqhLDXGbRaALL47P4ucCjh6c0oe+319SWBrw5mCnOdzxr5ljGudcaIKWyresZnj47o3o6jgmovfdBkDnea+g5LGO76amdrH2Hql6F32tF8V7GGPRRnkLrgoSQb24O19uMfZzlqZ0tNYU+aK2IhTuiII6rNQb7XWL8C5gI51lvYZIYNTxeX3B77FbnGGLIwaOFxlmUQirliCHmQe73a3RRlLv2W/z0cVhbykLj4WlkDiqJZ89Z1HdxuqCxvV/vqX6Ur5AEYD1YEma3G7BLWS9Ggb5P7GgPxDWrKBV+9S8Ych6zfLJal9SfHBQxaV+82WC1Dt+rSoWqSrmMJeomxWpKFIrZqKdRZP6/thwmsRtb8qaMw8DZaMojaBXWnH7Tot+ENi6VxLxIuac7XJyHZOfOOZxvLuhZv/nNz+m9f/LTnxEL9NVXbylf7rLxKEQYx7NmgSZCnMvZEZ6chvrQQmOhmlgegbFlpqiVoH77s9/8iq4fP/uIQgauVtfYR9WDzXaDV/F9h7HHrgttb4zBdsdC3U0MOxFC4Gf/y69p/H32i99Qv7cdKD7NFhKySexsR/sSXSpUUby3qis8++RpvC/Q1NO14y/ZXxexlhktRP7uHeN9qVUm5m/+09O9vOdn3JrTBX9/+k537VbveI/7drV3XHuRfcfn37/7VMm77rufNy3GXfX2Ibvuv7wTv70OxvLcqI/J6SCVGT6eAG9/52a73vl+/u5/3A7gzpNWZ+09KceNNr7jEZPTHPytd7rvfe/rqx9y0rnvO3k57v3NrTbmDZDMYrfuugZCO3mSjOCA+ok3zvu7u8kdXqe73n0yFrPru07BdzzkA77zgb++0bZ3fPz/4/M+7LfcT29NWpP5KJ+/7n5C9oN7npGuOWYO988hd/QpkX89n7Nu9nNkXqH071uWF+RuD8zU23h7/OV3utvT42+8160n48bUcff1zS9Oxtn9/T6fByjQ/tYYnX4vf9dUb5P/F8juJSZEAWTPYPKIn5ArZNZWoVelu0/1/O5v/9vXk2pCXs/3rGXfV8+T3/rpV+iV7p9X71qfb77r3f2ID/v0n9yDFuPOAllFTr4byjRNUXafJz1WKL0Hk1W43u5bNyZjV9xfvg+xQwzawQ52sIMd7GAHO9gPzD7Yg/YyJqYGgOOypF3kr371K5zOg2v9wcfPMIuww9//0x/w9/8x5K+zzlKOQiEAIaNYKQBtk6o9UFt2hz8vT1nldxC0ldRCQEXa6OJkjioyTrwBED3ESjL1tyhKLI+P47MF9ruWdrFHJw+IbVbOTiGjW/j6+hpdhLOs6yjuZTZrcHpyEt/QwcUyGeHw9nVgc3jvcDw7od34YCxt+vdDTzBCoLWHPzSqxMlpcMUPdsQu4hPeAa5PJwaGCt++Z1jq009/wQKTD56hiIK+r9+tsd6Gel5f9VhdrEJ9SIeXUSG7UB6ndZTfkAKnJyygqBUnlXfFDIlx1TTHSAnaFl4jNcxoR6I7I4PXBFj52gPEYPMAMsUFtG1LJzDtDNXfohCQiVXkHUxkEI77Aa8iQ6vfb3F9HctXaNiMKdPut3SA2m6uiGF2tKwBJKihmOQYTFYUFZbLEwAhF18RmamF1pMD5auX7+g6l7zoe27vouJnFJVCEVlZUiuUEToQUqIgdqjPsgIARfbEuizo1FsVR3TSPT0+YmjKWYK+264nSKLreljDgqg5wzO3POYm9H9P5UvPcM7BjQneyaRtICAM67T4TP0/rzcBPo06gBTWW9ejJ1kRyd4DKSm0QiqF+ryizxcRls6hzHG0d0KqzrDoqIYi4dejo1N88jywva6urvDVF//M7xmheQHg0aNTupcqmN2327UEN0upSMncOfYwSSk42Xnm9VBK4sHpCd03l9LZbPfUjzbZAbw1HnUTnrfaX+LV+zbeV0FGCMkD8J6lbd6vrun3OeU/z1s6mzGLczAjuusAjZVVRaKixnj0cW7q2h6XFy/p93kmgU9O+Bk+U/A8W5YUrlAJwUoAXqJP4RTtHt+tVwCAup7jwbOfhe9XFU5PU25Zj9//18+pnX/8pCY2cfHRjKQdnv/iYxw/ewYA2L0X2J2HufGRn+OJibBaqbB4HEN0pMD8+ITed7Pj+lnvWL2+Uh4q9urWOEqKPg4GY8w6U0qNkyaF3GgsYjiNlAKiZ89YkzHD+5GzR+w6h6RWcjRvsIx9XUoPkQSarSVmqhASLmOo900o0/ED7rev3ryHjXNxVRQkWbTdbuCiEHy3btGtQz3VpYaJ4rSjGylHZ1kW+NWPfh2fK/Czn/+SPE8eGmMKYRIl0ug/PXlIzyvKGmUR7lsXNTGz+32Hrz//Mt7Ho08ZSwC8vnxHdZNLQ/2LQmIRc81a7+Ai/Hv5doNvXn4bv2WR8pcGiDOspc57rF79ObyqFPAnnHv1Nw/nJEx+unyIIq5Hv/nbf4HnnwTx45dvvsOr13EMCE/5yeEd5U4N97stC/Z99sEbNJdNdM45ctlqpYheWuiC0kk4ePRDWowzFXbP6sfwoKA++KAFNIETGTuYWB4UmBrUOx91gaZu9Ck8dDvYkF2RrNEVJjUuax6kLDLYCZN4oSjf4B0mmmpZMuW8KM6zS1UIntQkJFTcuTh4WrR85pR2WfoErTVNtFopUseXvL6GhOVJb85ZjFHkzFuHPunRSMAYxscFiqwteIHO6ylEH8aNjfeg7BjO0cZXACiS1pr3gOAF3WYNKwRXetAu91SOpAFkbV4mz1o8lhdiP00tEeO7Ur05ivfyk5ipezB03NTjEtnfuVFdpvU0lXZg5XWRLVrSgmjtsAJOx3LnaZhuut8B5I9PmkQ+hz5zjSQrKGF2NwyZvMh0gmCI5UYN5BCLYH1CL+4GwqYoCSt9+xuf3zZ+ft7duOwOPml3WcvyHQBtYIVzRLWfvNJ9weITyBYEMUvBOkVKyluQfPp/mQUg50nspRTwnnWceN7J+7mYwtXZ5K1IV9Ej2y/dgGX48zzVWkjIzandlLwtpQMAKqun+8JQ8nfP22LSltm18/5WYnq6V3lzc851lca1FgKFTGOUU3or6ZHnyaE5UnGKHkRduPSOWgmal0swRKS1IlkjpSSl4dJSUMYHpRXJEQnBMi7h3jkJgsvvPc/RzrF+o8vSDnkwfCmlgM436BnQOCEmTOra0yFHSI7vFMLRBs26SYfJrsEQYKYJmeuEeYC6SE74sNbxvGGnc1MO4aX1X0BAZweWEEx4GwKUUkIljU6pqN/ngf3ee8rS4byjrADeewyZjIvL5mLjOH2iTxUcf8/9k+vMeceSSs7S84QQGM1IY8B5VvwUQlDfK8qCshRprXnMZPudvNz/I3aAOA92sIMd7GAHO9jBfmD24SQBwbvv1vK+X9UFMRYurtd4E9lXr95e4jzmr9MCKFXaxQuU88RiAkRKFiuAfL9oWgcfd7qr92u0RYCz6kaz6OroYFXMtwWNOrn1vaNk1GVVQaVTEQT22w3trKvmiJJpO9VBJhVia5k6HT4Jv/cgHMaMFpfXgb2y3W7w+vw7evbLl+8ZojuZ0+lJFZoYr30/Yogsr0YUiES14JNK8goSsORZA2TMFfb844+pnn7y6U/51K9r8gZs1j1sH0VWlaLTNTy754fR4O06QLNSAs4mD5pHP7yiU9w2c7f7agnE04+sTgEdE8ZrDaGSyKMgT55WAovIWpNCYFlHCEEEocV0+hlcQe+lC4aEhLIQ0RswbK6x2cacfdst1lGc1poBLsJ2Vjhy9QOAdcwUXcwbWJcYrCXle6yqmk6Bs1mDtgvsobbtsEtQt3V4+zZAmWVZ4FmW124c+XmTk5P0ROIV4Dp0FiA0OPOaCQBjn5JZBzgkWVEq6ntuosDP3pWiKDKx1xmV6eTU4tGjAPsaa/HZZ8/jb0G58jxS7soEX3oqTIZwossU9ru2RReZfNbaSV5Kz65fTE7RmZdPKUV/kUqTN0FrzYriSpHHQGXeeiklqjoxnAWaOuVPzRm1chK8nswYCx8Vb51Q8HG8nZ6e4t/+u38LIOTlPD4OfdU7h/12Rc9KOQJDnVd0Qr66uqa6uV6t0bYdPW8kpu/UK5fLgOisvec15wK0xhJ0vt625Dnctg77GMqxdDrztjsgMp/DfZOXXKDKWGS51yuHO5umoXp2kECE6uAFsbPLssLxUYDMhmHA+XmYC52zeP+eGf//+79m9msORy3mc5ojajDEKZQm1eGjvQFmMZF5OcfsqKZnJ2eQFEDfck5lbTsklmQP7lOrXYfhMqxHF28ucfndm/B72yHVSCE95kXyKnn0Ef7yEKgUi5qXRUXhKUO3I7bw9d6ijSK0/TBS/s1Se1xH9FIJgdkuGyfvGXLO+X1prgeAZl5DxTiR45Ml6iaFomiksTUOGsUueW8FiRlDANKl2B9ew6u6hI1Izayq2SvnOFNsdVpDHcXPvYWIguGFrNBUDAWXMdmrgIBWMxoP528vCV1Y70eMsT6KkkMVClj0EXIsoZCevsOAcxuZus5hE9sCHlj3LdI4evHqDfXjFxfvoWO/ffbsYyyPjgGEPnn2LAgbe29gY31YY1BEFqaxBlf72BZC4MW3X1PdPvvpJ+QpO25OUOrEnG6g4g7hI/cMdbxX17fY7FaxnivMIrNUKYkHWXjEh9hfsUHL4Dywa1ZKQZ1naA26NHn3nEjUSwEtuMMk85hO2PkXvGOgxAwGca+GohCUnsjBIU0xSnCKEZe5aZ11E+jHWksdKMB+0Y3pHETCCzxDNMLngBeXO3fBDmbAMHZ0n74fmArvHNWdEjKTJcghmOx5YAhYIHePeoKVmybLgNDwQpzTvLWU5Eq33sMl+MRaeprzrPotJTCkedh77FuWddi0PW8uegfEjZgwJUEYsqigYnouJSXK+Ln2AklZQwJAtghN0shIDUkietkiJgSQ4BrPCbbHkROZh80Zw5Wk7A0PYxg6y+U0lJKTa05bk7ncBUPizjlKOO49JzJP/55Y1qXvY1DR5sd5SMdu+fxWUqrpj+7ADacabAyfaa2Jcq6dpQTB1loUcWPqs1jB0J+5THkic5fJI7RtS7FVKkvrY4yBHhMklL3iHRu0u+FBvtZZGyil+ACiFIVQTDZowD2xdAwZ3YTnJjpf4A3uSYwx1Uri8eMQm+SsxbXmG8wXC3rXoqjpOmzEQt2MA2cuGIYRSnFWiBwqyjdsOfSptc6eUfBGTg6EthnrIWJfNxawJOGDbOPnpwzCzJxzk/6ZtwulxpEy64fT1HhVVdPnOTyb6gAAJXMHUq708Iyy5GcU4M2J1AoqzmetY1kCWWhK0aM0pzVyQkwgTg+HBJK6DMoerQ3xwAC6fsS+i9I9GJF8BE6AfQQecNkYkDIPh2FZEOdBMPNoHMYYA9mPDnEvC+d9gGsBSHiIFGLiPaVAhA+LcWqNouB5q2wKWv+k8ihKDtkhF4JzKGjeAgrNBUnhIhPGvpK8LuWhMdIR7F7IkkOWzEDxplCATu164yApBY/jcXS0QTPOU5YhmZXTTq49ZWkw8BhTO3qHIc+wksG5uz1nDxicIxi3mS8gYz8qyxJlnTJ2SEjLcdfGxMVpFJO9SNtyrPo4DDw2Ha/V+YGxrirM52nT6tEN4XOtNdetkqizg9eH2AHiPNjBDnawgx3sYAf7gdkHe9B+9CnnPltfrClQvT5qUB0Fj87u+hIXq+B52e5bOOPpKZSnVmSaLl7ARZcwBOA0O8GvNh0FQltjyRt00jdoqgRzMPL6+OQBnjx7FL8/EjujKMqJQ2a3Z7G+0b4kSLBaXEMmN7/LXQC83++8wVWEDvbtDt+8CCyTvm9xPEvwqsdHTx4wm65gkoD0nk6/pdLw0Z3uAOyiB844hyHVGwQ4tlzQO/3qV7+kMpycntHufrNtCeIptEAZcYOyqkkk1doRZohir7aCUeFkIoQgr5cH0HacvNqOHGS+b6/JaynKAYiu/9n8FM08CGJCK9hYBi+B65Hhlrbj07WSBbV327V8OneGyjoMa9iYF227WWG3DW5o0+7QR2FVAUdBv0qAPF0A4DKIM4dxFosF6uh1qWv2QkJKVFHc8nq9holQRqE1jhbh86Io8OgRC0yuzznfoJx4hPlaZyKfSklIzYHCpLeD/Hqa6L3S2VmqqaYuoWhTD6GiE6FWmmB+oEAzy8GU3KWdkx34Y2slOXr6YSBIYRxGysUZIE4WJ2bPHidMBqaBylqpSXlpnEg+zQbvZixTnmw48xbmdTUVpL3zMiqIh09622Egsokhr+ww9FhEcVrvLEAMc4+u7zLSE9dhCBSO8NzxMeXzHQeDYUjizgP2+yRq7cjbJIVANWPPeC5oeZyxc4tqRoLVyPpOXVck4muMRRc9REpJ1DEppFQSyyULcufjZDabZXp6kupnHEZ0UfhVKg0ZvSXOWYL2pBTkeQyfcxs0M4Y73cAewyarK4V8ui0AEUMlhEcVqfkCgLTJg+Vx9S5AlN45rK9WzI6/WMNHb0vTzKm/tcUFik14yPX5FdaRAV7JEV5FpiI0/MCe2AkdxrRI7dyUDOFLozPGpKT54morsdrG+dQ67HYx96cQUMkDJjAhDxWFZu+Md7RuKevJY7ff7EkgWGRrqYQkuE1CsFA6QJ6vq4zBW1YzagvvPJLTs6hmlJe4UiXKyFi0psMQWbteeNo5eA+0bWKPCghR0po6n58ykgVNeYatNxycrySsYM9cVSUEqMbzX30an23x9tuo1uA9rr9kSPvk8QNem/qOrt+vzrHuwlr/+PFjPJ6FkBSpNbRMbewxW4Zr6yxEzevf1e6axriSIK+s1oK8k1oFBQcA0IUi0eiFPqIxF+o/XliPzYr3Hx9iH7xBOz3juItu15LrUtcFipg0fDCGEkoPwziBOZJLWgpQIl8AE9add44mnLZjiEDCEaxZKgGRfiMd+QDdkcfRMkyo4zjAxVpRmuMQPKL8RoIexmv62+AsVMSWdRb3IoWCjJubsbcQPiXu3mB1+Z6e18TG8d7jeDmjMl2PO2avcaIEKCmJZu5FeD6QmDPhOwLMYPSeY4KePOH4J51BLPu2o98qCaozXWroMtLjR4lBJvhXwXqOEUm5pwPbkjdPzvGCPXQtDP0DgIpyJrJCXYQ+4h0orscKP2EY9TZbrMFwc1JdDz8ayC3f7jYYxzCZ7resAO76Fm7oqKxJUVuIaQqatIEAgHlT0Qaqqqpsg1YTjdr5kGg3lNujaVahfFlC6KIosFxyvaXMA+H5uUghs5K0VhkLjZlA3ye2nEOcWjDkIbzOl447RRHDB+nvoA1heD4v/jmslkPq+cbDjILi30bDMYw2v84Sy99MkySy8Z5DmSpnbU3K4ymiYipLIWiDdh8bO9tj3ra8bPHn1hiKXzRmxBg3aNYagiOcczANJ1LOD3lGmIlUhlK8YUqb/kEPzHQTguL2JnCnAMXPAFOIs87gW1nc6DHUvzjLBjBAyLjxk5IWDikl3etmeqaqqiaCx8mstQTnK7Bgp8tjJ4XALG4unXM4PuaxXJa8KUjxjgCghaQ4Q++RdW5miQshoTPqskypJqxHF2NRnXPo9i29y3bVkcSBdyV0PASP6z2UCfWz2+5JYQByRFVEBXgjEg4b/pQlwwirbFyDdMFhIloiEbKVlNQ2/WCxT1Il1mEY4jMkYCeHFB4bKk9bZNhZITwI4hy6AT69OnhdLbQmCZQAa7LagI+H5bbjBOBHRyXNhWPHmSO0KqCKlJGnRB2vx9HDyajmDw+X4EfnYTpmDwuhSUKjLBuaB0bP60A7tPDxwON4aoGTgI9OBakKnNQhA5AZDTYxnt05R6mWAKBZ8NzbXQ2UyHzb7rCP0hzL4yMkHFtKCR3lTIQAxeo55yAKXmv3r7muhGAHk7rBwpXZPEWQvdCQcTxYY9DG+cJ5oO+yde4D7ABxHuxgBzvYwQ52sIP9wOyDPWhFzbv+5cmMPF+DGbGJLvtd21H+sXG05AUBZAw0BoRkDRoBoMxc+bnWmsoiCa138NHzMlgPlYI3hYsaTUA39OijK15rjeefBMFJD2AV2Rnee3xzfs6uS5T0kMdPH6CM0ezXl2vKG7aYHWE5D2yQ2bzBWRSTNGbA8SLtkgt89ugTesbYjQyBbB3lC23bkYVLSwVBsMyIIRIOjHHouwRTKtTHyTMXfg8E9lyy9ftzOv28fvOOGIyr1YZcz8enZ2jmMWCyUBTMaMYeWxdOJt45tFm+R60ZblksHjJkKzZ0opZFQ96YZb3Esg7widIaOgrmeuFgJXuxbO7hyaBknX28261go+drc/USXbsCENiSJsIy0jsocjXmYaeCiA/hX3zjt2/fUv2XRYlmFk5fxyenaOpQ3svVCldXob9st1tcX1/H7xckuFsUBS4vL+m+RZEF8+ewQ66XpTk/rJDiBhR6t02+4V3mlWLPS+4Bu/lj/r1ngSaRwR/iBh8DYKxpwmTIIE/vKDBdCvao5Hp1ufctPDL3EjCRReWDfFJYx88WGWlGAMi8sRMv2oT4k9vtAGljRtjYh4d2hz7m1uzaFterVbyPRb9nT5cbuE+NIwspN/rmFBr7s2aig5SCSBree/KgGWMyko6cQPDhfZO3lwVMdcWfh/yuUZNJa/LSdV1HJ3utFYn43vSgFZnHrq7ZEx/qMJSjLAs4H36ji4K8D1VVZYK00/64XM7pvtLw2JdesrtksOSFsd7BJgipqAjCFc5iHseWFWBWpVIYB84hXEOSJ3rlQOEV1o1BOw+AalcQJtR7YVo0KgnNClSxTFopjF3sLwBkkTGCc6RnNDS/C+/JyyGy7OeLpqChZEaFsY6wmASWiYUJAVFwm1eaRZlhFfOepMKQCCDgsRiYleEdjbLE2pdSEtwtIFCI8IzZjNvF2Z6G0jAqQsSKWYWiDP3FwWJvYy5i9DBFJEk5wNlEWhE4imxJIQSaGbM4u441O7Ub6V1rKWATixoONs0nEhiGlHtV0voICTx4/DA+2+PJs6fU30bf8y6jloSYKFlAxvin07MjLOJarQqBskkEGIG6SmiJg1ixB+24O+YxXtU0foe+Q1ol2/2Wch8PY08eQq0L6Ci+K6WFN+xxyz2mH2IfvkFrphs0ikkxI7Zxw7Bre7RdggtMJjEAJAFHeBYlFEKgWXLsVrvNBrNkr3cQigs2WAdlU+yWgY8U3X4YMEaXZlks8EncoA3jiN/++Y/h+87hj19/ToNZo6YBYdVTzOehUr/84ze4fL8CADx5+AxPHgYF6tPTU8woTsvjJDa6tw7zuEFz3mGz3dD7bv01sU6GcSR3s64UVFTWNnsDE+MEBmPRxTgtX3vohl2wtovfyWQkXr9+RTFB3377gib/YWT4aTYvURYnAEKcQxMVoftOYdjHCdACm8ssWW/Z0EBbLGYguMtqUjnXRUkMnmWzwFFUyBaKIVUHi0FwotvOMRMy15TNN2jD9hpDH4bB9fvvsN+cx7/wBFgoRZtA4f0tWCZZgA3C9du3b2lz2TQN5nHC8l7ALkNdnb+/wJu3rLq/3W6p3hIErLXG1eqKnlFnCuDhhdIGZArn5RASbdAmcVL3BU35yQe5EOxNu5k/kG6WBU3lTOL7posJ69G5bL/EG6CwIUv3EhMavxD5pjWDODPYN9/AhqaNsJEzSILCzrP0B710esEJzJmFAtz8bvw8jXUzGhjDsaTtLmzC19fXePM6xDY56zBkcETKWAL4yaZxkvs1e7bWijamgX0a5yznUbUxJmyUaOPcKbOQB95Uhn8VBauaizy2sCho/BVFQRuuti2Qgl2VUnH8hg11DpfmjNq8Xdq2pYW1LDVJIRVFSaEAQSCbYbS8rqua4X+ZwZrCV7wB6XmMjm6gDZpznhclB8zTwmg92hjeAKVpvvTOoRaKnm8tkMIQrRuh0rrTriB6Zo1qnaBBiapMoqkChqdA6LyvwTKJeuR3l06DhJQVj+tFrRk+MxY+MpyVBBazuFkH4PNNOficYg3X565n5NVZFsaFGYFYvyMMehHDepQiiFNAUDzUbMbtst8x83UcJW36pKpRRimkbtxgiJtaL3r4IgmccyiBFArHcYMGCNSzhvp90XKsZ2ENyVgprYMUDABjB1ifMm5YkiwKoQ0pU4jAw8io9s7j8VOeewdw0ndZeQxpgyYKKNqgLbFYhrVaV5r2HFJJzGYxBs1ajIKZokcdxxXXdUWHp7Fvqc73+y36KEEzWMvytFKiiOuftx7Kpng0D6m+Lwbjth0gzoMd7GAHO9jBDnawH5j9FTpovKMvqyy/mvQwEcKThUf07KGZacznUaBNShQx4rIsJZqKXYzLjO1w1LAnwuaxdJmrpa5YqFbIElKmNFOaWEm1tdAx4N84j9UuBOl579Hbjk8OGRyy3qwxxtNC3w18QrOeAjSF9+SaHe1I8JezFlevLugZ37x5Q96QXhpy5YcUF+FzY10Gxzhi6QjhM+8Bw3XeM0Mw5Z0EgNXVJTE3h6GHpROrg0iB+rZHF08E4yAx9sEr1LZ7vHn9InzbWazeX3A9z46z61M6FZWVhqb6Z123cDJIbB5HHhQhHDSldwrpV2JtToKU235P7TLsV+jbCL0OO4iUx1VqImwokcGXQlAXkeK2AGc6cB4dHZEb+uT4BLMIcc5nc9J0appmojOXPJJKKbqvECDPBwBUE1YkyJPivSC2lwjshfCOUmLqFGLIP0NqJ+XzmedqmqZI3O2RQu5Bk8RCyplfAEfo+uy96TKDVMmDhhsm8gt/++M7v07uPA4094x++SxlS3gXhimFmN7p1p1zlkB2bTJYst1vKbdft9+hj21pjUUR5w0nHGwmFpqzWiWjT7DWUPhGVVUUIO2Ra4bxFFZWEk2c54pCwcQTv5SKxDABUBA1EOBxYrjqe4gnmae4KBTm0WumlcIiElqEmGo95fC4dTZrFapOVE1NY1ZkOo5SCmJxeu+JoQePiZ5eN8/Gojd0Y2HZXxQ8wkw8sT5pSkqMMVfzYIB9ZEJKXaLJiBa6mXOohFZI3sNCKyaXlQpl0oWEgBPMxJM0nwEpOEUA6IdszLkM4s6YwhaslSiFJDFeIYNmJ4DA1Ey6cgITXbpEuArDLUMBMgKJ9aBcnC5rP5+NX3gPn4h7Cuh1rCsh0Ku03rJXexw5jVNVM1pSNUyYGpyETXUgfRbOICCRPIKKyDRCCIQEfnGe0xxaIZSj8eic4b4Dh9RePvOgCQCmT940hTmJQ3ucnp1Q3eyNoLXWiTNCdwpZQkVo92h5RGNOaoEkZOydI0jUORaDBkIITHqGEoqJjR4U3iUzJnkhJbWe1preKeQoZl3OcfjrSAIfvEFL+asAYL5kl7uTHmMssK49ZrEej20JJ2KcgOPOVhUSp0cJn5V4cMrs0NMzzuN1dTHQ/Dr0hq7LStAGoSgLlFUSiivRRXHVZjZDFRPEjhB4fRlcot47bAd2XQZ4PQ7gd4Zc3Zv1gDG64L3xSEu88I4SzO72W3zx4gsAgBlGfP35n0N9eI/fffeKJruPf/6ABRYzdmg/7LOEyAYpFMEoB4/E6PTkQgXS5AO8ef2aPnvx7bcsmqoyBqEMbEEAGMYdthEmdNYSm2qzvsbnf/iv4XNnsVmd030Xx8/oXp98+mva8M4XC3L3GmNoIVXFCMjIbpNlGAgAJDy0ThsWjzJnpWbWXq6IfdVefUewk+uugjo4ACWbjF3LE44QPLk5LyZq8k3DferZR8/o848//phiMup6RpPSvu3QxTpXuqBrAU9t773FOm7OAeBkxn0436TkQqDOgSg/0gMiSxzNlm+eMBH/nFouoMkL9k0WZw5xTpiUueM8m+Bvw6p8TVs6Mbkx75MCFe92kW68uoDjMjpL98rLmAuPBkiRf88bIM+/zV/EZzkJs3i1br+hDfbV5TnNFWO/h8lEpudxc26MpbjXEFeaCRNnrTSMA1XH0fGChD3HkeNNncs3awWkXNIzUjYLIQSWiyN63tAzU1Rphn9lBnEWRUHZB/LNa60rzCOTXGuNk+NjKl+S+EhG8UJ7ZvJBgBbj5XxOgsf9MGQHRh/h53AgSgcZ5xxWmZzDFlxvpeLnCccwnFKW8sb2fYdIeISFhomSCF0/Umyo1CXUw+epMVCdPqD2qOoKaoybjVKhjGvFvNGoyxhSAgWXDpCZ0Dq8w+BJrZvYifAeyLKFuKxPegWiewqrIHyKCRSo07wPhaSs4ZyHHfKNraNyjJmkk8k2C6PjcBDvWWDWeYmUC9kai7FPAtKsNiCEgEwb1jwZe29oPDx9+pCg79mM27uzG5h9dL6AZYoUJGZVjOmSCsfHLN3iMNDoUKXj+LzOQYjUXxjWFOBsK6MdjJ0vvQAADR1JREFUMcT+aa2lWGutCzxZPonfB55/8hH1o8vtW1qDHsljPlioCoXkHKFpzhvsgC7Btg6UGSNkZ2H2/6xmdmgpS1p3YLPIeqmQwjgLpWkTHqbStOY52rB67ybhSR9iB4jzYAc72MEOdrCDHewHZh8OcWYn4fzUbp0lF55QHqpM7n6NJuqjOedIn6TQkgRoA2clnX8FwQsAoJThoDsB2oUKpckz5AWfNILAa4QfjSGvkjUmE9D0IcAxlUMxq2gcDbk4i6JEMY954mpmKwkpaLdunUUXYRJrbDrIhHKUmk+jfppOJ3kCgwYSs+GSd6UoNOomues5BRE8B45O8ubVNcELZV3RyVdpSSKIi/kM83n0DIwDeQ+UlOzW9X6SC7CsSjoJFYWG0gxLJ7h7GFqMEVa2g8GY4EBdUqCpkBIqQtpBULSg55nMO9ju1gTPjkNH0I9zmaaWEOQ1k3maIDGF13KbMOOy40hRlBRUXZQcYN00DQuUeo9dhMfDSS+eUJWi74TvTQM/cxCCUcKsH0AQ7J3/QsQy0k/EnXeiT9I73mXiJl6ajbPpT+7+/eQ3QmbPu/ka9/3+nrtOvG/3AaF3v0ceRi0EPzp84zbEaTINvGHoaU5wlkkIebqrCXkUmTcaYgIHJugKiELICYoyFkayx4iZuoKCpSHADDaXaYxNPKGYCPp6z/CsUPL7mwyxjul62kfy++aWwzI35/rcbqYWA6Ypb26mj9pnMKEvOO2QzGB3Ddb5Gp3AGCPijffobCKBGfTJQ+RkBqMKKEXh/NCFJM9cVWhqKym533t4Zg5CUvSOQAYDZh7CVK70EJdTn+FIfFxIZOE4DL0VinMT+yBeFt9D0LoY3ZZ015zkraQnFqkFMyM9WIvOZ8SVm1rZqQnztiuKktKPNU1DHjQpBc3DQesulU1C6wgTepGtYyBxZwAoxo4929nQFYrZ30J5jhmY9DUWnJZCAJEEFsJU8vCLHI6fQoj8HUftJ/P51rvMy55DxG4CccrsiYXmHMdaaRoTUipKD+kx1d9MKbycdRj6BMc70kT7UPvwDZrjzlOVNb3kdrUiyrpsPI6ion5dVziLns9+sNhHiQgFj4YmfpHFJHmcLI9pcO/3F1TgznSUdVPXJeqIJ3ejQxcZNdIPuPRxMS0b7PYhhmm732O1iUlXvcfA+nM4WpRUjsvLNeUf/M2P/wbPzgIcNqsrzCLrsSg1TJxc26HF2/O3dF+x5IF9+oDpzMIa6uTWSIpJst5ymQqNWicqNHDygPFu6ZPqv8P1RYBnT06O6f6ffPIx1dPjp08pjqVqaugItwg4GrTr1RXevAxxZ7ZrQxI/hMnpaMFQ3cNHj6ktjs+OaYOWQ0hX5y+xughivWYc4CyzO5vI6NRFhZMHHwEIHfrRY5Yj2WZMyG/++bfErNus38GaRJdm+YZKl2hmKdm6gowsn7B5z5Nk0yXm8zmVo8gg4NPT0zshzmY2x5MnT0P5rq7QNMHV7Z2BjZTzoijwm3/xa3rG6z+/4AdCZLAdC/E677JDjeNZM/0m2iRvYj7xiKxc2XU+6eZMRSklse8EGNa8yZ7N4UOBjGGZPUNksuS5QGm+aN1rYvII4BYMmyDg2xvW9Pccwk3UeY+7kdYc1lyvr2jSvTw/h0nyK54lgJwZYEde7HP2W1mwenkev7NYcszOmzffUTzNbrdHOcZEyvOa5DFCnFp4j3EcMAwRXh0NxTIqpfCofELPawqGWNabS6rzMssbCwFu44wlLAWLZgopaTMS3mtGz5gI1dac9N0Y3hCG7BT5ZjFusKQkOFcIQSLO4zhOIM4XV9wep5Wg/q0Vb2B1IYiN2o8WiSS5b0es1omVPmJ1HeY/VZSonmcxoE/P6N1PTmuSNXh0XKOKMGM3GFL5H4wjYXClPMqU0UAq1E1i3zl0e47/3fe88c7loGQWPuCVpHFtpYBPjM5ZiTLGY8N7UgT3zqPN1qOcrVtKFqqVbqR+vBk9UkpM6/iYJ4VDRCbDuNA8Zup4QM43IGdnD+j64+fPSWz73bs32EYR4DGTSCl0jZOjMKfb0WDYhLXWWI+Lq3f0vd5yDsvmaEGC3Ho+hEw6COLOXiUcW0DEvUXhFZSPjGMIVCfcv3S2ybSO2975MTu8ciiGdQMQYVQZ7weEsYgsuwxSqIlz8GMOx7ME18niLJOk4fnIepYZ6u0IY1nBYohzzdj3FNvtrMX6kte8D7H/SSHOv+5Uf7CDHexgBzvYwQ72Q7IP9qCZbHfpnc8C35gAEPTK2E3O7DJ2u078BtkJEAS9xJPbLdd6usihjSm0xcwJPul5gIJqhY+fx59IwSc6IdjlLoWkYGQhJTEYPQTnE7MWLqW2QQbdsEAS1UlyTwdd1swbkJ14J5Vy1/5SMNyQ59DLTSkWx1SZKzZ45HMWYHqUoOBHIYC6Jr5WEG5Np7mypBx88BzAXRQFkQe8s+RBE0JO3MCcH1JmXhkxRa/gJyehdJ0zRbUuKNBVSEUMXg+XsTjFBNbMbcgEbIdhhNahHnVRQtokGmypfsdxZAIGOPegczL7fGp3enVuWdaJwZDxjTvdgJMY6s3hvXufkI3L+MTJ3+56y7zrCXwYennvd8TkP3c97ta73IZxp/e/+U53PTpn8OapqPL6EDfmKfYkcciFc/m9/EQAN3z/dut6z+XxnqEo5/j3+fyTQ6dqoiE3haHDv/mDqbcx3YvnoJvfz1mw+T0ncPOtsnBPyFnCk1yv93w+GX9ZTLT3PAt5sCfXuuQFB6zzsJbbIA8V4QbP4efo7Y1/UVIQ0/FmeaXw9B0Fvp5M3XctNJgICZAnDgiRLblnO72k856Yl8a4SY7YRA72jvtI+LcPeS75De68zstEIULZpBBe447Ps/rQWmVrUd7enp4mRNanMIU18z5IzFURYLx0X+eY0emcJU+u88zSFl7ePYnkbXfPOp/KSm+ejXEvxA0mePqvu3M8pN/z48Xkc24nhn2tzUKpnCVI1TmXrRWO5pHgwfzrnEcfvEH75ktmDi5+rSiham8MMVG63QAT/dPzUmO+jAzLEZhFGot3HslHK7XE7FmE1XxgVCSI5vTBCVXS9XWLPkJx3krARfe9t9AyyQd4Slw6ekvsu8GMOH0YXLPOObz6lmNGjp6doYjuZrt3GOPvjxdnODsJwnhlU6CMkOq23+Ltm+8AAOv1CqvL4LpUSuHZjz8N7+c93r/dUl2tN+vJxiPNJM1sjmUVym6NJYq0sxY+LQwCSPqY3kucPjwFAHz++9/R/T/6+DlBMR89fUZQA5SinHbtfou+DS7pWpdoIvRiZjM8exag3KIo8a/+9t/SfZ9++lOGn7Kk1kPfEeY/KwpcnQeI8+2bl3j/NvSRplng9CzWX1mRyKAQAosjzmnY5nC8GAHE/GxwFH9YLY7QREbuJ88/xSeffJYqhNrRmBG7/ZqekSDgwIZj1to//vafiIW23e4xn4c4so8+eo6Tk1C3796/x/lFaNe23WF9fRXv65HUZZRSeP3yO7rvTDFQf5+FMMN8QvA3/pu+l0GRLN8P3FiT78q5GS5vL5rh3xmMmn2ebwx8dqvJFi4TMfVZYEmAS++ecNKhIz8g3XrfezdnIvtSAGjTvaYSvdkkGv97ecHJub/75luaHMtCZeLAjha2vu8IZrSWJ1NrLGXi8H6CnMIYDsWALyBjcu9x8NmGcMQQ80AOQ0d0/jChc7zpk6fHsSTiRnuVtEaVJVP++35guLPkOMq6rkk2ZhiGiQzMNPaI43zLkiG1zWaTbS599p0CZYwFKsuSyidEFi8kJTH/nHOTZ1z//rd03XoJERfvbgC1Qbfuqd4nzMTRwsQcvdZYyPhbDYmTTBX/QcX9szqZwdsYT1pIDo9QDineyAoFn8aZkPAyQtnOs6yE8xBpI+Y9dh23zcXWsGyK5L5eFi4R+bBpO+ziGrSYVdjvYj/UCo9OYiYX67Fap4OeR6WZEXy6LOndrSiQ9Ha1shAiHV6Zqe+MhU3hPvAoYsiH8g51PHDmcbOnpw8IutaFyvqtiXNxiBefxRAPqTT6Lh5iB4PtdcJmPeqC+4sssvzKWNP1buxhY78aOx5PBWqUaNKtoOOhWwmBpsznVa6nfHaSkqPFdvs9q/kLDo2x4wCXYj21ooxBQkiUWQ7tPmNYLuYLLkc3wESB2fV6RU6a1e4aXYy/E4WELNIh35Bg7tD3uLx6S/ctxYdHlQH/00KcBzvYwQ52sIMd7GD//2uHDdrBDnawgx3sYAc72A/MhL+Pp3+wgx3sYAc72MEOdrD/W+zgQTvYwQ52sIMd7GAH+4HZYYN2sIMd7GAHO9jBDvYDs8MG7WAHO9jBDnawgx3sB2aHDdrBDnawgx3sYAc72A/MDhu0gx3sYAc72MEOdrAfmB02aAc72MEOdrCDHexgPzA7bNAOdrCDHexgBzvYwX5gdtigHexgBzvYwQ52sIP9wOywQTvYwQ52sIMd7GAH+4HZ/xcYrr/F6nzKjQAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##### CIFAR10 #####\n",
    "\n",
    "comparator.display_CIFAR10(5, 6, (7.7, 6.6))\n",
    "plt.savefig(\"./CIFARDatasetFinal1Backup.png\", dpi=1200, bbox_inches=\"tight\")\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:09:02.893894200Z",
     "start_time": "2024-02-28T16:08:56.377377700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 770x660 with 30 Axes>",
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##### FASHION MNIST #####\n",
    "# Load in FashionMNIST\n",
    "comparator.load_fashionMNIST()\n",
    "comparator.display_fashionMNIST(5, 6, (7.7, 6.6)) #4, 8, (7.7, 3.9)\n",
    "plt.savefig(\"./FashionMNISTFinal1Backup.png\", dpi=1200, bbox_inches=\"tight\")\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:09:09.731764200Z",
     "start_time": "2024-02-28T16:09:02.893894200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:09:09.736517100Z",
     "start_time": "2024-02-28T16:09:09.735922400Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using activation function: <class 'torch.nn.modules.activation.Tanh'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.ReLU'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.Tanh'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.ReLU'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.Tanh'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.ReLU'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.Tanh'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.ReLU'>\n"
     ]
    }
   ],
   "source": [
    "# Xavier | Tanh & ReLU\n",
    "backprop_vals_tanh = comparator.run_fashionMNIST_backprop_test(torch.nn.Tanh, initialisation=XavierInitialisation)\n",
    "backprop_vals_relu = comparator.run_fashionMNIST_backprop_test(torch.nn.ReLU, initialisation=XavierInitialisation)\n",
    "\n",
    "# Const Var | Tanh & ReLU\n",
    "backprop_vals_tanh_const_var = comparator.run_fashionMNIST_backprop_test(torch.nn.Tanh, initialisation=lambda params: ConstVarInitialisation(params, 1.592))#initialisation=ConstVarInitialisation)\n",
    "backprop_vals_relu_const_var = comparator.run_fashionMNIST_backprop_test(torch.nn.ReLU, initialisation=lambda params: ConstVarInitialisation(params, 1.414))#initialisation=ConstVarInitialisation)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:09:11.775369900Z",
     "start_time": "2024-02-28T16:09:09.736517100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:09:11.775369900Z",
     "start_time": "2024-02-28T16:09:11.774836Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1600x900 with 4 Axes>",
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nrows = 2\n",
    "ncols = 2\n",
    "\n",
    "fig, axes = plt.subplots(nrows, ncols, figsize=(16, 9))\n",
    "\n",
    "axes[0][0].boxplot([l[0].flatten() for l in list(backprop_vals_tanh.values())], showfliers=False)\n",
    "relu_vals = [l[0].flatten() for l in list(backprop_vals_relu.values())]\n",
    "axes[0][1].boxplot([r[r.nonzero()].flatten() for r in relu_vals], showfliers=False)\n",
    "del relu_vals\n",
    "\n",
    "axes[1][0].boxplot([l[0].flatten() for l in list(backprop_vals_tanh_const_var.values())], showfliers=False)\n",
    "relu_vals = [l[0].flatten() for l in list(backprop_vals_relu_const_var.values())]\n",
    "axes[1][1].boxplot([r[r.nonzero()].flatten() for r in relu_vals], showfliers=False)\n",
    "del relu_vals\n",
    "\n",
    "axes[0][0].set_title(\"Tanh | Xavier\")\n",
    "axes[0][1].set_title(\"ReLU | Xavier\")\n",
    "\n",
    "axes[1][0].set_title(\"Tanh | Constant Variance\")\n",
    "axes[1][1].set_title(\"ReLU | Constant Variance\")\n",
    "\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:09:13.073402700Z",
     "start_time": "2024-02-28T16:09:11.806858100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T16:09:13.073402700Z",
     "start_time": "2024-02-28T16:09:13.073402700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T16:09:13.073402700Z",
     "start_time": "2024-02-28T16:09:13.073402700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using activation function: <class 'torch.nn.modules.activation.Tanh'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.ReLU'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.Tanh'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.ReLU'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.Tanh'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.ReLU'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.Tanh'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.ReLU'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.Tanh'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.ReLU'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.Tanh'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.ReLU'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.Tanh'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.ReLU'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.Tanh'>\n",
      "Using activation function: <class 'torch.nn.modules.activation.ReLU'>\n"
     ]
    }
   ],
   "source": [
    "backprop_vals_tanh_layers = comparator.run_fashionMNIST_backprop_test_layers(torch.nn.Tanh, initialisation=XavierInitialisation, num_layers=30)\n",
    "backprop_vals_relu_layers = comparator.run_fashionMNIST_backprop_test_layers(torch.nn.ReLU, initialisation=XavierInitialisation)\n",
    "\n",
    "forward_prop_vals_tanh_layers = comparator.run_fashionMNIST_forward_prop_test_layers(torch.nn.Tanh, initialisation=XavierInitialisation)\n",
    "forward_prop_vals_relu_layers = comparator.run_fashionMNIST_forward_prop_test_layers(torch.nn.ReLU, initialisation=XavierInitialisation)\n",
    "\n",
    "\n",
    "backprop_vals_tanh_const_var_layers = comparator.run_fashionMNIST_backprop_test_layers(torch.nn.Tanh, initialisation=lambda params: ConstVarInitialisation(params, 1.592))\n",
    "backprop_vals_relu_const_var_layers = comparator.run_fashionMNIST_backprop_test_layers(torch.nn.ReLU, initialisation=lambda params: ConstVarInitialisation(params, 1.414))\n",
    "#lambda params: ConstVarInitialisation(params, 1.592)\n",
    "#lambda params: ConstVarInitialisation(params, 1.414)\n",
    "\n",
    "forward_prop_vals_tanh_const_var_layers = comparator.run_fashionMNIST_forward_prop_test_layers(torch.nn.Tanh, initialisation=lambda params: ConstVarInitialisation(params, 1.592))\n",
    "forward_prop_vals_relu_const_var_layers = comparator.run_fashionMNIST_forward_prop_test_layers(torch.nn.ReLU, initialisation=lambda params: ConstVarInitialisation(params, 1.414))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:09:32.244571800Z",
     "start_time": "2024-02-28T16:09:13.073402700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:09:32.254693100Z",
     "start_time": "2024-02-28T16:09:32.248608700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [],
   "source": [
    "\n",
    "def plot_layer_stds(values, ax, offset=0, c=\"tab:red\"):\n",
    "\n",
    "    medians = [torch.median(torch.tensor(values[i])) for i in range(len(values))]\n",
    "    upper_quartiles = [torch.median(torch.tensor(values[i][values[i]>medians[i]])) for i in range(len(values))]\n",
    "    lower_quartiles = [torch.median(torch.tensor(values[i][values[i]<=medians[i]])) for i in range(len(values))]\n",
    "\n",
    "    maxs = [torch.max(torch.tensor(values[i])) for i in range(len(values))]\n",
    "    mins = [torch.min(torch.tensor(values[i])) for i in range(len(values))]\n",
    "\n",
    "\n",
    "    for i in range(len(upper_quartiles)):\n",
    "        x_loc = i+offset\n",
    "        p = Path([\n",
    "            (x_loc, upper_quartiles[i]),\n",
    "            (x_loc, lower_quartiles[i])\n",
    "        ], codes=[Path.MOVETO, Path.LINETO])\n",
    "\n",
    "        IQR = upper_quartiles[i] - lower_quartiles[i]\n",
    "        p2 = Path([\n",
    "            (x_loc, upper_quartiles[i] + 1.5*IQR),\n",
    "            (x_loc, lower_quartiles[i] - 1.5*IQR)\n",
    "        ], codes=[Path.MOVETO, Path.LINETO])\n",
    "\n",
    "        p3 = Path([\n",
    "            (x_loc, maxs[i]),\n",
    "            (x_loc, mins[i])\n",
    "        ], codes=[Path.MOVETO, Path.LINETO])\n",
    "\n",
    "        ax.add_patch(PathPatch(p, lw=2, facecolor=\"orange\", edgecolor=c, capstyle=\"round\"))\n",
    "        ax.add_patch(PathPatch(p2, lw=2, facecolor=\"orange\", edgecolor=c, capstyle=\"round\", alpha=0.3))\n",
    "\n",
    "    ax.margins(0)\n",
    "    ax.autoscale()\n",
    "\n",
    "def plot_layer_std_mean(values, ax, offset=0, c=\"tab:red\"):\n",
    "    medians = [torch.mean(torch.tensor(values[i])) for i in range(len(values))]\n",
    "\n",
    "    std_data = [torch.std(torch.tensor(values[i][values[i] != 0])) for i in range(len(values))]\n",
    "    upper_quartiles = [medians[i]+std_data[i] for i in range(len(std_data))]\n",
    "\n",
    "    lower_quartiles = [medians[i]-std_data[i] for i in range(len(std_data))]\n",
    "\n",
    "    maxs = [torch.max(torch.tensor(values[i])) for i in range(len(values))]\n",
    "    mins = [torch.min(torch.tensor(values[i])) for i in range(len(values))]\n",
    "\n",
    "\n",
    "    for i in range(len(upper_quartiles)):\n",
    "        x_loc = i+offset\n",
    "        p = Path([\n",
    "            (x_loc, upper_quartiles[i]),\n",
    "            (x_loc, lower_quartiles[i])\n",
    "        ], codes=[Path.MOVETO, Path.LINETO])\n",
    "\n",
    "        ax.add_patch(PathPatch(p, lw=2, facecolor=\"orange\", edgecolor=c, capstyle=\"round\"))\n",
    "\n",
    "    ax.margins(0)\n",
    "    ax.autoscale()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:09:38.756507Z",
     "start_time": "2024-02-28T16:09:38.724675100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [],
   "source": [
    "tanh_xavier = [l[0].flatten() for l in list(backprop_vals_tanh_layers.values())]\n",
    "relu_vals = [l[0].flatten() for l in list(backprop_vals_relu_layers.values())]\n",
    "relu_xavier = [r[r.nonzero()].flatten() for r in relu_vals]\n",
    "del relu_vals\n",
    "\n",
    "tanh_he = [l[0].flatten() for l in list(backprop_vals_tanh_const_var_layers.values())]\n",
    "relu_vals = [l[0].flatten() for l in list(backprop_vals_relu_const_var_layers.values())]\n",
    "relu_he = [r[r.nonzero()].flatten() for r in relu_vals]\n",
    "del relu_vals"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:09:39.604896300Z",
     "start_time": "2024-02-28T16:09:39.498756Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\rmen2\\AppData\\Local\\Temp\\ipykernel_2832\\2233001466.py:3: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
      "  medians = [torch.median(torch.tensor(values[i])) for i in range(len(values))]\n",
      "C:\\Users\\rmen2\\AppData\\Local\\Temp\\ipykernel_2832\\2233001466.py:4: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
      "  upper_quartiles = [torch.median(torch.tensor(values[i][values[i]>medians[i]])) for i in range(len(values))]\n",
      "C:\\Users\\rmen2\\AppData\\Local\\Temp\\ipykernel_2832\\2233001466.py:5: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
      "  lower_quartiles = [torch.median(torch.tensor(values[i][values[i]<=medians[i]])) for i in range(len(values))]\n",
      "C:\\Users\\rmen2\\AppData\\Local\\Temp\\ipykernel_2832\\2233001466.py:7: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
      "  maxs = [torch.max(torch.tensor(values[i])) for i in range(len(values))]\n",
      "C:\\Users\\rmen2\\AppData\\Local\\Temp\\ipykernel_2832\\2233001466.py:8: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
      "  mins = [torch.min(torch.tensor(values[i])) for i in range(len(values))]\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 900x300 with 2 Axes>",
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 900x300 with 2 Axes>",
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 900x300 with 2 Axes>",
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 900x300 with 2 Axes>",
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.patches import PathPatch\n",
    "from matplotlib.path import Path\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(9, 3))\n",
    "ax.set_title(\"Tanh | Xavier\")\n",
    "ax.set_ylabel(\"Backpropagation\", color=\"tab:red\")\n",
    "other_side_ax = ax.twinx()\n",
    "other_side_ax.set_ylabel(\"Forward Propagation\", color=\"tab:blue\")\n",
    "plot_layer_stds(list(forward_prop_vals_tanh_layers.values()), other_side_ax, offset = 0.3, c=\"tab:blue\")\n",
    "plot_layer_stds(tanh_xavier, ax)\n",
    "plt.tight_layout()\n",
    "ax.set_xlim(-0.5, 31.9)\n",
    "\n",
    "plt.savefig(\"./TanhXavier2.png\")\n",
    "plt.show()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(9, 3))\n",
    "ax.set_title(\"ReLU | Xavier\")\n",
    "ax.set_ylabel(\"Backpropagation\", color=\"tab:red\")\n",
    "other_side_ax = ax.twinx()\n",
    "other_side_ax.set_ylabel(\"Forward Propagation\", color=\"tab:blue\")\n",
    "plot_layer_stds(list(forward_prop_vals_relu_layers.values()), other_side_ax, offset = 0.3, c=\"tab:blue\")\n",
    "plot_layer_stds(relu_xavier, ax)\n",
    "plt.tight_layout()\n",
    "ax.set_xlim(-0.5, 31.9)\n",
    "plt.savefig(\"./ReLUXavier2.png\")\n",
    "plt.show()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(9, 3))\n",
    "ax.set_title(\"Tanh | Constant Variance\")\n",
    "ax.set_ylabel(\"Backpropagation\", color=\"tab:red\")\n",
    "other_side_ax = ax.twinx()\n",
    "other_side_ax.set_ylabel(\"Forward Propagation\", color=\"tab:blue\")\n",
    "plot_layer_stds(list(forward_prop_vals_tanh_const_var_layers.values()), other_side_ax, offset = 0.3, c=\"tab:blue\")\n",
    "plot_layer_stds(tanh_he, ax)\n",
    "plt.tight_layout()\n",
    "ax.set_xlim(-0.5, 31.9)\n",
    "plt.savefig(\"./TanhHe2.png\")\n",
    "plt.show()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(9, 3))\n",
    "ax.set_title(\"ReLU | Constant Variance\")\n",
    "ax.set_ylabel(\"Backpropagation\", color=\"tab:red\")\n",
    "other_side_ax = ax.twinx()\n",
    "other_side_ax.set_ylabel(\"Forward Propagation\", color=\"tab:blue\")\n",
    "plot_layer_stds(list(forward_prop_vals_relu_const_var_layers.values()), other_side_ax, offset = 0.3, c=\"tab:blue\")\n",
    "plot_layer_stds(relu_he, ax)\n",
    "plt.tight_layout()\n",
    "ax.set_xlim(-0.5, 31.9)\n",
    "plt.savefig(\"./ReLUHe2.png\")\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T16:09:52.289081500Z",
     "start_time": "2024-02-28T16:09:40.598183100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [],
   "source": [
    "\n",
    "# 20 Layer Network almost identical to VGG-19, except padding was added to allow the input to reach the output\n",
    "class NNCIFAR10(nn.Module):\n",
    "    \"\"\"\n",
    "    Neural network for use with the CIFAR10 dataset.\n",
    "    A 19 Layer Network almost identical to VGG-19, except padding was added to allow the input to reach the output.\n",
    "    \"\"\"\n",
    "    def __init__(self, activation_function):\n",
    "        super(NNCIFAR10, self).__init__()\n",
    "        self.module_stack = nn.Sequential(\n",
    "            # Input = layer 0\n",
    "            nn.Conv2d(3, 64, (3, 3), padding=2), # 1\n",
    "            activation_function(),\n",
    "            nn.Conv2d(64, 64, (3, 3), padding=2), # 2\n",
    "            activation_function(),\n",
    "            nn.MaxPool2d((2, 2)),\n",
    "\n",
    "            nn.Conv2d(64, 128, (3, 3), padding=2), # 3\n",
    "            activation_function(),\n",
    "            nn.Conv2d(128, 128, (3, 3), padding=2), # 4\n",
    "            activation_function(),\n",
    "            nn.MaxPool2d((2, 2)),\n",
    "\n",
    "            nn.Conv2d(128, 256, (3, 3), padding=2), # 5\n",
    "            activation_function(),\n",
    "            nn.Conv2d(256, 256, (3, 3), padding=2), # 6\n",
    "            activation_function(),\n",
    "            nn.Conv2d(256, 256, (3, 3), padding=2), # 7\n",
    "            activation_function(),\n",
    "            nn.Conv2d(256, 256, (3, 3), padding=2), # 8\n",
    "            activation_function(),\n",
    "            nn.MaxPool2d((2, 2)),\n",
    "\n",
    "            nn.Conv2d(256, 512, (3, 3), padding=2), # 9\n",
    "            activation_function(),\n",
    "            nn.Conv2d(512, 512, (3, 3), padding=2), # 10\n",
    "            activation_function(),\n",
    "            nn.Conv2d(512, 512, (3, 3), padding=2), # 11\n",
    "            activation_function(),\n",
    "            nn.Conv2d(512, 512, (3, 3), padding=2), # 12\n",
    "            activation_function(),\n",
    "            nn.MaxPool2d((2, 2)),\n",
    "\n",
    "            nn.Conv2d(512, 512, (3, 3), padding=0), # 13\n",
    "            activation_function(),\n",
    "            nn.Conv2d(512, 512, (3, 3), padding=0), # 14\n",
    "            activation_function(),\n",
    "            nn.MaxPool2d((2, 2)),\n",
    "\n",
    "            nn.Flatten(),\n",
    "            #nn.BatchNorm1d(2048),\n",
    "\n",
    "            nn.Linear(2048, 2048), # 15\n",
    "            activation_function(),\n",
    "            nn.Dropout(0.25),\n",
    "            nn.Linear(2048, 2048), # 16\n",
    "            activation_function(),\n",
    "            nn.Dropout(0.4),\n",
    "            nn.Linear(2048, 1024), # 17\n",
    "            activation_function(),\n",
    "            nn.Dropout(0.25),\n",
    "            nn.Linear(1024, 10), # 18\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        return self.module_stack(x)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T15:47:11.081721800Z",
     "start_time": "2024-02-28T15:47:11.050061800Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-02-28T15:47:11.941871200Z",
     "start_time": "2024-02-28T15:47:11.894095Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [],
   "source": [
    "class Tanh8(nn.Module):\n",
    "    \"\"\" Tanh8 activation function = Tanh(x*8)/8 \"\"\"\n",
    "    def __init__(self, inplace: bool = False):\n",
    "        super(Tanh8, self).__init__()\n",
    "        self.inplace = inplace\n",
    "        self.tanh = nn.Tanh()\n",
    "\n",
    "    def forward(self, input: torch.Tensor) -> torch.Tensor:\n",
    "        return self.tanh(input/8)*8\n",
    "\n",
    "    def extra_repr(self) -> str:\n",
    "        inplace_str = 'inplace=True' if self.inplace else ''\n",
    "        return inplace_str"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T15:47:12.150973900Z",
     "start_time": "2024-02-28T15:47:12.116436500Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "\n",
    "##########################################################\n",
    "#################### !WARNING! ###########################\n",
    "########## !THIS CELL USES A LOT OF RAM! #################\n",
    "############ !(ONLY RUN IT ON A GPU)! ####################\n",
    "##########################################################\n",
    "\n",
    "cifar_net = NNCIFAR10(nn.Tanh)\n",
    "cifar_net_tan8 = NNCIFAR10(Tanh8)\n",
    "\n",
    "cifar_net.eval()\n",
    "ConstVarInitialisation(cifar_net, 1.4142)\n",
    "forward_prop_unscaled = test_forward_propagation(\n",
    "    cifar_net,\n",
    "    comparator.cifar10_dataset,\n",
    "    torch.nn.CrossEntropyLoss(),\n",
    ")\n",
    "#    activation = nn.Tanh()\n",
    "\n",
    "XavierInitialisation(cifar_net)\n",
    "forward_prop_xavier = test_forward_propagation(\n",
    "    cifar_net,\n",
    "    comparator.cifar10_dataset,\n",
    "    torch.nn.CrossEntropyLoss(),\n",
    ")\n",
    "#    activation = nn.Tanh()\n",
    "\n",
    "cifar_net_tan8.eval()\n",
    "ConstVarInitialisation(cifar_net, 1.0153)\n",
    "forward_prop_tan8 = test_forward_propagation(\n",
    "    cifar_net_tan8,\n",
    "    comparator.cifar10_dataset,\n",
    "    torch.nn.CrossEntropyLoss(),\n",
    ")\n",
    "#    activation = nn.Tanh()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2024-02-28T15:47:37.670545200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "from matplotlib.ticker import (MultipleLocator, AutoMinorLocator)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "fig, ax = plt.subplots(figsize=(9, 3))\n",
    "ax.set_title(\"VGG19-CIFAR10 Forward Propagation\")\n",
    "ax.set_ylabel(\"Forward Propagation\")\n",
    "plot_layer_std_mean(list(forward_prop_unscaled.values()), ax, offset=0, c=\"tab:green\")\n",
    "plot_layer_std_mean(list(forward_prop_xavier.values()), ax, offset=0.2, c=\"tab:blue\")\n",
    "plot_layer_std_mean(list(forward_prop_tan8.values()), ax, offset=0.4, c=\"tab:red\")\n",
    "\n",
    "ax.set_xlim(-0.5, 35)\n",
    "ax.set_ylim(-1.5, 1.5)\n",
    "ax.set_xlabel(\"Layer\")\n",
    "ax.xaxis.set_minor_locator(MultipleLocator(1.0))\n",
    "ax.xaxis.grid(True, which='both', color='k', linestyle='-', linewidth=1, alpha=0.1)\n",
    "ax.yaxis.grid(True, which='major', color='k', linestyle='-', linewidth=1, alpha=0.1)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"./CIFAR10ForwardPropXavier7.png\")\n",
    "\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}