Chapter07/ch7_nb7_generate_images_with_vae_models.ipynb

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   "source": [
    "<p style=\"border: 1px solid #e7692c; border-left: 15px solid #e7692c; padding: 10px; text-align:justify;\">\n",
    "    <strong style=\"color: #e7692c\">Tip.</strong> <a style=\"color: #000000;\" href=\"https://nbviewer.jupyter.org/github/PacktPublishing/Hands-On-Computer-Vision-with-TensorFlow-2/blob/master/Chapter07/ch7_nb7_generate_images_with_vae_models.ipynb\" title=\"View with Jupyter Online\">Click here to view this notebook on <code>nbviewer.jupyter.org</code></a>. \n",
    "    <br/>These notebooks are better read there, as Github default viewer ignores some of the formatting and interactive content.\n",
    "    </p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<table style=\"font-size: 1em; padding: 0; margin: 0;\">\n",
    "    <tr style=\"vertical-align: top; padding: 0; margin: 0;background-color: #ffffff\">\n",
    "        <td style=\"vertical-align: top; padding: 0; margin: 0; padding-right: 15px;\">\n",
    "    <p style=\"background: #363636; color:#ffffff; text-align:justify; padding: 10px 25px;\">\n",
    "        <strong style=\"font-size: 1.0em;\"><span style=\"font-size: 1.2em;\"><span style=\"color: #e7692c;\">Hands-on</span> Computer Vision with TensorFlow 2</span><br/>by <em>Eliot Andres</em> & <em>Benjamin Planche</em> (Packt Pub.)</strong><br/><br/>\n",
    "        <strong>> Chapter 7: Training on Complex and Scarce Datasets</strong><br/>\n",
    "    </p>\n",
    "\n",
    "<h1 style=\"width: 100%; text-align: left; padding: 0px 25px;\"><small style=\"color: #e7692c;\">\n",
    "    Notebook 7:</small><br/>Generating Images with VAEs</h1>\n",
    "<br/>\n",
    "<p style=\"border-left: 15px solid #363636; text-align:justify; padding: 0 10px;\">\n",
    "    Besides classic computer graphics tools, computer vision  models can also be built to edit images or generate new ones.<br/><br/>\n",
    "    In this notebook, we will implement a simple <strong>Variational Auto-Encoder (<em>VAE</em>)</strong> (refer to Chapter 7 for the theoretical explanations), and we will train it to generate digit images.\n",
    "</p>\n",
    "<br/>\n",
    "<p style=\"border-left: 15px solid #e7692c; padding: 0 10px; text-align:justify;\">\n",
    "    <strong style=\"color: #e7692c;\">Tip.</strong> The notebooks shared on this git repository illustrate some notions from the book \"<em><strong>Hands-on Computer Vision with TensorFlow 2</strong></em>\" written by Eliot Andres and Benjamin Planche, published by Packt. If you enjoyed the insights shared here, <a href=\"https://www.amazon.com/Hands-Computer-Vision-TensorFlow-processing/dp/1788830644\" title=\"Learn more about the book!\"><strong>please consider acquiring the book!</strong></a>\n",
    "<br/><br/>\n",
    "The book provides further guidance for those eager to learn about computer vision and to harness the power of TensorFlow 2 and Keras to build efficient recognition systems for object detection, segmentation, video processing, smartphone applications, and more.</p>\n",
    "        </td>\n",
    "        <td style=\"vertical-align: top; padding: 0; margin: 0; width: 280px;\">\n",
    "    <a href=\"https://www.amazon.com/Hands-Computer-Vision-TensorFlow-processing/dp/1788830644\" title=\"Learn more about the book!\" target=\"_blank\">\n",
    "        <img src=\"../banner_images/book_cover.png\" width=280>\n",
    "    </a>\n",
    "    <p style=\"background: #e7692c; color:#ffffff; padding: 10px; text-align:justify;\"><strong>Leverage deep learning to create powerful image processing apps with TensorFlow 2 and Keras. <br/></strong>Get the book for more insights!</p>\n",
    "    <ul style=\"height: 32px; white-space: nowrap; text-align: center; margin: 0px; padding: 0px; padding-top: 10px;\">\n",
    "    <li style=\"display: block;height: 100%;float: left;vertical-align: middle;margin: 0 25px 10px;padding: 0px;\">\n",
    "        <a href=\"https://www.amazon.com/Hands-Computer-Vision-TensorFlow-processing/dp/1788830644\" title=\"Get the book on Amazon (paperback or Kindle version)!\" target=\"_blank\">\n",
    "        <img style=\"vertical-align: middle; max-width: 72px; max-height: 32px;\" src=\"../banner_images/logo_amazon.png\" width=\"75px\">\n",
    "        </a>\n",
    "    </li>\n",
    "    <li style=\"display: inline-block;height: 100%;vertical-align: middle;float: right;margin: -5px 25px 10px;padding: 0px;\">\n",
    "        <a href=\"https://www.packtpub.com/application-development/hands-computer-vision-tensorflow-2\" title=\"Get your Packt book (paperback, PDF, ePUB, or MOBI version)!\" target=\"_blank\">\n",
    "        <img style=\"vertical-align: middle; max-width: 72px; max-height: 32px;\" src=\"../banner_images/logo_packt.png\" width=\"75px\">\n",
    "        </a>\n",
    "    </li>\n",
    "    </ul>\n",
    "        </td>\n",
    "        </tr>\n",
    "        </table>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import math\n",
    "import numpy as np\n",
    "import tensorflow as tf\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "random_seed = 42\n",
    "np.random.seed(random_seed)\n",
    "tf.random.set_seed(random_seed)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preparing the Dataset\n",
    "\n",
    "As readers may have guessed, we will use once again the [MNIST](http://yann.lecun.com/exdb/mnist) dataset[$^1$](#ref) to teach a neural network how to generate new digit images.\n",
    "\n",
    "Therefore, similar to what we did for Notebook [6-1](../Chapter06/ch6_nb1_discover_autoencoders.ipynb), we build data pipelines simply pre-processing and feeding the dataset images (no labels):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# num_classes = 10\n",
    "img_rows, img_cols, img_ch = 28, 28, 1\n",
    "input_shape = (img_rows, img_cols, img_ch)\n",
    "batch_size = 100\n",
    "num_epochs = 91"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()\n",
    "x_train, x_test = x_train / 255.0, x_test / 255.0\n",
    "\n",
    "x_train = x_train.reshape(x_train.shape[0], *input_shape)\n",
    "x_test = x_test.reshape(x_test.shape[0], *input_shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_dataset = tf.data.Dataset.from_tensor_slices(x_train)\n",
    "train_dataset = train_dataset.apply(\n",
    "    tf.data.experimental.shuffle_and_repeat(len(x_train), num_epochs, random_seed))\n",
    "train_dataset = train_dataset.batch(batch_size)\n",
    "\n",
    "val_dataset = tf.data.Dataset.from_tensor_slices(x_test)\n",
    "val_dataset = val_dataset.batch(batch_size)\n",
    "\n",
    "\n",
    "train_steps_per_epoch = math.ceil(x_train.shape[0] / batch_size)\n",
    "val_steps_per_epoch   = math.ceil(x_test.shape[0] / batch_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from plot_utils import plot_image_grid\n",
    "\n",
    "num_show = 9\n",
    "val_dataset_samples = val_dataset.take(1)\n",
    "val_samples = next(val_dataset_samples.__iter__())[:num_show]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "<Figure size 3240x360 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure = plot_image_grid([val_samples.numpy()[..., 0]], grayscale=True, transpose=True)\n",
    "figure.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating a Variational Auto-Encoder\n",
    "\n",
    "In this section, we will demonstrate how to build a VAE[$^2$](#ref).\n",
    "\n",
    "### DAE Sub-Networks\n",
    "\n",
    "Like (deep) auto-encoders, VAEs are composed of an encoder sub-network and a decoder one. Only the latent space connecting the two is defined differently (c.f. Chapter 7).\n",
    "\n",
    "Therefore, we start by defining the simple convolutional encoder and decoder we will use for our experiment (inspired from Notebook [6-3](../Chapter06/ch6_nb3_improve_image_quality_with_dae.ipynb)):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Network hyper-parameters:\n",
    "kernel_size  = 3\n",
    "filters_orig = 32\n",
    "layer_depth  = 2\n",
    "latent_dim   = 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras import Model, Sequential\n",
    "from tensorflow.keras.layers import (Input, InputLayer, Lambda, Conv2D, \n",
    "                                     Flatten, Dense, Reshape, Conv2DTranspose)\n",
    "\n",
    "# c.f. DAE architecture in Chapter 6, Notebook 3\n",
    "def simple_encoder(input_shape, latent_dim=32, \n",
    "                   kernel_size=4, filters_orig=32, layer_depth=4,\n",
    "                   final_activation=None, name='encoder'):\n",
    "    \"\"\"\n",
    "    Build a simple encoder network.\n",
    "    :param input_shape:      Shape of the input image (H x W x C)\n",
    "    :param latent_dim:       Size of the latent space\n",
    "    :param kernel_size:      Kernel size for the convolutions\n",
    "    :param filters_orig:     Number of filters for the 1st CNN layer (then multiplied by 2 each layer)\n",
    "    :param layer_depth:      Number of layers composing the encoder/decoder\n",
    "    :param final_activation: Activation function for the last layer\n",
    "    :param name:             Model name\n",
    "    :return:                 Encoder model\n",
    "    \"\"\"\n",
    "    \n",
    "    return Sequential([\n",
    "        # Taking images as inputs:\n",
    "        InputLayer(input_shape=input_shape),\n",
    "        # Adding conv layers to extract features:\n",
    "        *[Conv2D(filters=min(filters_orig * (2 ** i), 512), \n",
    "                 kernel_size=kernel_size, activation='relu', strides=2, \n",
    "                 padding='same')\n",
    "          for i in range(layer_depth)],\n",
    "        # Flattening feature vectors\n",
    "        tf.keras.layers.Flatten(),\n",
    "        tf.keras.layers.Dense(latent_dim, activation=final_activation)\n",
    "    ], name=name)\n",
    "    \n",
    "def simple_decoder(output_shape, latent_dim=32, \n",
    "                   kernel_size=4, filters_orig=32, layer_depth=4,\n",
    "                   final_activation=None, name='decoder'):\n",
    "    \"\"\"\n",
    "    Build a simple decoder network.\n",
    "    :param output_shape:     Shape of the output image (H x W x C)\n",
    "    :param latent_dim:       Size of the latent space\n",
    "    :param kernel_size:      Kernel size for the convolutions\n",
    "    :param filters_orig:     Number of filters for the 1st CNN layer (then multiplied by 2 each layer)\n",
    "    :param layer_depth:      Number of layers composing the encoder/decoder\n",
    "    :param final_activation: Activation function for the last layer\n",
    "    :param name:             Model name\n",
    "    :return:                 Decoder model\n",
    "    \"\"\"\n",
    "    \n",
    "    # c.f. Chapter 6, Notebook 3\n",
    "    ResizeToOutputShapeLayer = lambda name: Lambda(\n",
    "            lambda images: tf.image.resize(images, output_shape[:2]), name=name)\n",
    "    \n",
    "    divided_size = np.ceil(np.asarray(output_shape[:2]) / (2 ** layer_depth)).astype(np.int32)\n",
    "    \n",
    "    return Sequential([\n",
    "        # Taking codes from the latent space as inputs:\n",
    "        InputLayer(input_shape=(latent_dim,)),\n",
    "        # Extending and reshaping into a 2D feature map:\n",
    "        Dense(units=divided_size[0] * divided_size[1] * latent_dim, activation=tf.nn.relu),\n",
    "        Reshape(target_shape=(*divided_size, latent_dim)),\n",
    "        # Upsampling/convolving to decode into an image:\n",
    "        *[Conv2DTranspose(filters=min(filters_orig * (2 ** (layer_depth - i - 1)), 512), \n",
    "                          kernel_size=kernel_size, activation='relu', strides=2, \n",
    "                          padding='same')\n",
    "          for i in range(layer_depth)],\n",
    "        # Making sure to get back the original dimensions:\n",
    "        ResizeToOutputShapeLayer('resize_to_orig'),\n",
    "        # Decoding and outputting the image:\n",
    "        Conv2DTranspose(filters=input_shape[-1], kernel_size=3, \n",
    "                        activation=final_activation,\n",
    "                        strides=1, padding='same')\n",
    "    ], name=name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now instantiate the two sub-networks which will form our VAE. We create the encoder so that it output vectors twice the size of the latent space (as we will then split these vectors in two, as the means and standard deviations used to sample the actual codes):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"encoder\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d (Conv2D)              (None, 14, 14, 32)        320       \n",
      "_________________________________________________________________\n",
      "conv2d_1 (Conv2D)            (None, 7, 7, 64)          18496     \n",
      "_________________________________________________________________\n",
      "flatten (Flatten)            (None, 3136)              0         \n",
      "_________________________________________________________________\n",
      "dense (Dense)                (None, 4)                 12548     \n",
      "=================================================================\n",
      "Total params: 31,364\n",
      "Trainable params: 31,364\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Model: \"decoder\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "dense_1 (Dense)              (None, 98)                294       \n",
      "_________________________________________________________________\n",
      "reshape (Reshape)            (None, 7, 7, 2)           0         \n",
      "_________________________________________________________________\n",
      "conv2d_transpose (Conv2DTran (None, 14, 14, 64)        1216      \n",
      "_________________________________________________________________\n",
      "conv2d_transpose_1 (Conv2DTr (None, 28, 28, 32)        18464     \n",
      "_________________________________________________________________\n",
      "resize_to_orig (Lambda)      (None, 28, 28, 32)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_transpose_2 (Conv2DTr (None, 28, 28, 1)         289       \n",
      "=================================================================\n",
      "Total params: 20,263\n",
      "Trainable params: 20,263\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# We build the encoder to output 2 vectors of `latent_dim`, \n",
    "# for the mean and std-dev:\n",
    "vae_encoder = simple_encoder(input_shape, latent_dim * 2, kernel_size, \n",
    "                             filters_orig, layer_depth, None)\n",
    "vae_encoder.summary() \n",
    "\n",
    "vae_decoder = simple_decoder(input_shape, latent_dim, kernel_size, \n",
    "                             filters_orig, layer_depth, 'sigmoid')\n",
    "\n",
    "vae_decoder.summary() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reparameterization Trick and Complete VAE\n",
    "\n",
    "The mean and standard-deviation vectors provided by the encoder are used to randomly sample the actual code representing the input image. As explained in Chapter 7, this procedure is done by applying the *reparameterization trick* so that the auto-encoder loss can still flow through the complete network despite thefact that random sampling operations are not derivable.\n",
    "\n",
    "To that purpose, we create two custom Keras layers: one to slice the encoder's output vectors in two, and one to perform the sampling:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def reparameterize_and_sample(z_mean, z_log_var):\n",
    "    \"\"\"\n",
    "    Sample a vector from the random normal distribution, using the\n",
    "    reparameterization trick.\n",
    "    Note: `log(var)` (with `var` the distribution variance) is asked as\n",
    "          parameter rather than `var` or `sqrt(var)` (standard deviation)\n",
    "          to simplify the network's task. Indeed, if we do not constrain the\n",
    "          encoder, it can by default output negative or positive values; but\n",
    "          the variance should be strictly positive. Therefore, we simply consider\n",
    "          the encoder's output as being the variance on a log scale, c.f.\n",
    "          var = exp(log(var)) always > 0.\n",
    "    :param z_mean: \n",
    "    :param z_log_var: \n",
    "    :return: \n",
    "    \"\"\"\n",
    "    epsilon = tf.random.normal(shape=tf.shape(z_mean), mean=0, stddev=1)\n",
    "    z = z_mean + epsilon * tf.math.exp(z_log_var)\n",
    "    return z\n",
    "\n",
    "MeanAndLogvarSliceLayer = Lambda(\n",
    "    lambda args: [tf.reshape(args[..., :latent_dim], (-1, latent_dim)),\n",
    "                   tf.reshape(args[..., latent_dim:], (-1, latent_dim))],\n",
    "    name='z_mean-z_logvar_slicer')\n",
    "ReparameterizationLayer = Lambda(\n",
    "    lambda args: reparameterize_and_sample(args[0], \n",
    "                                           args[1]),\n",
    "    name='z_sampler')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Having all the components in place, we can now put everything together to obtain our simple convolutional VAE:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                      Output Shape                 Param #   Connected to             \n",
      "==================================================================================================\n",
      "input_imgs (InputLayer)           [(None, 28, 28, 1)]          0                                  \n",
      "__________________________________________________________________________________________________\n",
      "encoder (Sequential)              (None, 4)                    31364     input_imgs[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "z_mean-z_logvar_slicer (Lambda)   [(None, 2), (None, 2)]       0         encoder[1][0]            \n",
      "__________________________________________________________________________________________________\n",
      "z_sampler (Lambda)                (None, 2)                    0         z_mean-z_logvar_slicer[0]\n",
      "                                                                         z_mean-z_logvar_slicer[0]\n",
      "__________________________________________________________________________________________________\n",
      "decoder (Sequential)              (None, 28, 28, 1)            20263     z_sampler[0][0]          \n",
      "==================================================================================================\n",
      "Total params: 51,627\n",
      "Trainable params: 51,627\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# Building the VAE with Keras Functional API:\n",
    "inputs = Input(shape=input_shape, name='input_imgs')\n",
    "encoder_outputs = vae_encoder(inputs)\n",
    "z_mean, z_log_sigma = MeanAndLogvarSliceLayer(encoder_outputs)\n",
    "z = ReparameterizationLayer([z_mean, z_log_sigma])\n",
    "output = vae_decoder(z)\n",
    "\n",
    "# To train the model, two losses are applied:\n",
    "# - a MSE loss on the decoder output to compare it with the original image\n",
    "# - a KL-based loss to ensure the mean and standard deviation outputted by the\n",
    "#   encoder represent a standard normal distribution\n",
    "# Therefore, we collect both the decoder and encoder's outputs to compute these\n",
    "# losses:\n",
    "vae_model = Model(inputs, [output, encoder_outputs])\n",
    "vae_model.summary(positions=[.35, .65, .75, 1.]) # `positions` adapts the printed cols' width."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Training and Testing a VAE\n",
    "\n",
    "Like normal AEs, VAEs are trained by comparing the generated images with the original ones, for instance by computing the _MSE_ loss over the data pairs (c.f. Chapter 6). However, VAEs require a second loss, to ensure that the data distributions inferred by the encoder have a proper form. For that, the _KL loss_[$^3$](#ref) is computed over the encoder's output (c.f. Chapter 7).\n",
    "\n",
    "This is why, to simplify the training loop, we defined our VAE model so that it outputs not only the generated images, but also the encoder output, so that we have the data to compute both losses."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow.keras.backend as K\n",
    "\n",
    "def KL_loss(y_true, y_pred):\n",
    "    z_mean, z_log_sigma = MeanAndLogvarSliceLayer(y_pred)\n",
    "    kl_loss = - 0.5 * K.sum(1 + z_log_sigma - K.square(z_mean) - K.exp(z_log_sigma), axis=-1)\n",
    "    return kl_loss\n",
    "\n",
    "\n",
    "def mse_loss(y_true, y_pred):\n",
    "    mse = tf.losses.mse(y_true, y_pred)\n",
    "    mse = K.sum(mse, axis=[i for i in range(1, len(mse.shape))])\n",
    "    return mse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "vae_model.compile(optimizer='adam', loss=[mse_loss, KL_loss])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We adapt our input pipelines so that the ground-truths for the losses are provided. For the MSE loss, the original image is copied as target. For the KL loss, no ground-truths are actually needed to compute this loss (as it only evaluates the correctness of the means and standard deviations generated by the encoder).\n",
    "However, Keras requires that a ground-truth object is provided for each loss. Therefore, to circumvent this limitation, we simply pass a dummy tensor to Keras as ground-truth for the second loss."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "none_tensor = tf.constant(0)\n",
    "train_dataset_with_gt = train_dataset.map(lambda x: (x, (x, none_tensor)))\n",
    "val_dataset_with_gt = val_dataset.map(lambda x: (x, (x, none_tensor)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we set up the usual metrics and callbacks, before starting the training:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 3000x3000 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import collections\n",
    "from keras_custom_callbacks import SimpleLogCallback, TensorBoardImageGridCallback\n",
    "\n",
    "model_name = 'mnist_vae'\n",
    "model_dir = os.path.join('models', model_name)\n",
    "\n",
    "def process_images_before_plot(input_imgs, pred_data, target_imgs=None):\n",
    "    pred_imgs = pred_data[0]\n",
    "    # print(np.sum((pred_imgs != 0.))\n",
    "    return input_imgs[..., 0], pred_imgs[..., 0], target_imgs\n",
    "\n",
    "# Callback to postprocess some validation results and display them in Tensorboard:\n",
    "callback_tb_grid = TensorBoardImageGridCallback(\n",
    "    log_dir=model_dir, preprocess_fn=process_images_before_plot,\n",
    "    input_images=val_samples, target_images=None, \n",
    "    grayscale=True, transpose=True,\n",
    "    tag=model_name + '_results', figsize=(10, 10))\n",
    "\n",
    "# Callback to simply log metrics at the end of each epoch (saving space compared to verbose=1):\n",
    "metrics_to_print = collections.OrderedDict([(\"loss\", \"loss\"), (\"val-loss\", \"val_loss\"),\n",
    "                                            (\"KL\", \"encoder_loss\"), (\"val-KL\", \"val_encoder_loss\"),\n",
    "                                            (\"MSE\", \"decoder_loss\"), (\"val-MSE\", \"val_decoder_loss\")])\n",
    "callback_simple_log = SimpleLogCallback(metrics_to_print, num_epochs=num_epochs, log_frequency=2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training: \u001b[92mstart\u001b[0m.\n",
      "Epoch  1/91: \u001b[1mloss\u001b[0m = \u001b[94m45.994\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m45.598\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m1.740\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m1.843\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m44.253\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m43.755\u001b[0m\n",
      "Epoch  3/91: \u001b[1mloss\u001b[0m = \u001b[94m43.050\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m42.504\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m1.912\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.010\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m41.137\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m40.493\u001b[0m\n",
      "Epoch  5/91: \u001b[1mloss\u001b[0m = \u001b[94m41.467\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m41.234\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.041\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.115\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m39.426\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m39.118\u001b[0m\n",
      "Epoch  7/91: \u001b[1mloss\u001b[0m = \u001b[94m40.233\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m40.018\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.159\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.201\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m38.074\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m37.816\u001b[0m\n",
      "Epoch  9/91: \u001b[1mloss\u001b[0m = \u001b[94m39.337\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m39.223\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.253\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.296\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m37.084\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m36.926\u001b[0m\n",
      "Epoch 11/91: \u001b[1mloss\u001b[0m = \u001b[94m38.803\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m38.772\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.327\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.265\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m36.476\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m36.507\u001b[0m\n",
      "Epoch 13/91: \u001b[1mloss\u001b[0m = \u001b[94m38.401\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m38.528\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.354\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.318\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m36.046\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m36.210\u001b[0m\n",
      "Epoch 15/91: \u001b[1mloss\u001b[0m = \u001b[94m38.120\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m38.256\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.395\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.348\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m35.726\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m35.908\u001b[0m\n",
      "Epoch 17/91: \u001b[1mloss\u001b[0m = \u001b[94m37.832\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m37.861\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.409\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.382\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m35.424\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m35.479\u001b[0m\n",
      "Epoch 19/91: \u001b[1mloss\u001b[0m = \u001b[94m37.638\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m37.764\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.435\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.371\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m35.203\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m35.393\u001b[0m\n",
      "Epoch 21/91: \u001b[1mloss\u001b[0m = \u001b[94m37.488\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m37.631\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.454\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.414\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m35.033\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m35.217\u001b[0m\n",
      "Epoch 23/91: \u001b[1mloss\u001b[0m = \u001b[94m37.372\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m37.562\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.463\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.384\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m34.910\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m35.178\u001b[0m\n",
      "Epoch 25/91: \u001b[1mloss\u001b[0m = \u001b[94m37.227\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m37.421\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.476\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.482\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m34.751\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.939\u001b[0m\n",
      "Epoch 27/91: \u001b[1mloss\u001b[0m = \u001b[94m37.126\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m37.361\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.492\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.483\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m34.634\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.877\u001b[0m\n",
      "Epoch 29/91: \u001b[1mloss\u001b[0m = \u001b[94m37.019\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m37.422\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.503\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.468\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m34.516\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.954\u001b[0m\n",
      "Epoch 31/91: \u001b[1mloss\u001b[0m = \u001b[94m36.935\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m37.202\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.511\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.525\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m34.424\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.678\u001b[0m\n",
      "Epoch 33/91: \u001b[1mloss\u001b[0m = \u001b[94m36.866\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m37.109\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.531\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.521\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m34.335\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.588\u001b[0m\n",
      "Epoch 35/91: \u001b[1mloss\u001b[0m = \u001b[94m36.781\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m37.185\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.530\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.573\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m34.251\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.612\u001b[0m\n",
      "Epoch 37/91: \u001b[1mloss\u001b[0m = \u001b[94m36.759\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m37.009\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.538\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.506\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m34.221\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.503\u001b[0m\n",
      "Epoch 39/91: \u001b[1mloss\u001b[0m = \u001b[94m36.646\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m37.004\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.540\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.498\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m34.106\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.506\u001b[0m\n",
      "Epoch 41/91: \u001b[1mloss\u001b[0m = \u001b[94m36.565\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m37.014\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.553\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.554\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m34.012\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.461\u001b[0m\n",
      "Epoch 43/91: \u001b[1mloss\u001b[0m = \u001b[94m36.519\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m37.160\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.563\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.549\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m33.956\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.611\u001b[0m\n",
      "Epoch 45/91: \u001b[1mloss\u001b[0m = \u001b[94m36.447\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m36.826\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.570\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.564\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m33.877\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.263\u001b[0m\n",
      "Epoch 47/91: \u001b[1mloss\u001b[0m = \u001b[94m36.429\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m36.838\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.575\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.590\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m33.853\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.247\u001b[0m\n",
      "Epoch 49/91: \u001b[1mloss\u001b[0m = \u001b[94m36.366\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m36.969\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.580\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.542\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m33.786\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.427\u001b[0m\n",
      "Epoch 51/91: \u001b[1mloss\u001b[0m = \u001b[94m36.319\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m36.975\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.587\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.542\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m33.732\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.433\u001b[0m\n",
      "Epoch 53/91: \u001b[1mloss\u001b[0m = \u001b[94m36.264\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m36.774\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.595\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.619\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m33.669\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.155\u001b[0m\n",
      "Epoch 55/91: \u001b[1mloss\u001b[0m = \u001b[94m36.222\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m36.711\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.593\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.619\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m33.630\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.091\u001b[0m\n",
      "Epoch 57/91: \u001b[1mloss\u001b[0m = \u001b[94m36.177\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m37.062\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.599\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.550\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m33.578\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.513\u001b[0m\n",
      "Epoch 59/91: \u001b[1mloss\u001b[0m = \u001b[94m36.156\u001b[0m; \u001b[1mval-loss\u001b[0m = \u001b[94m36.737\u001b[0m; \u001b[1mKL\u001b[0m = \u001b[94m2.601\u001b[0m; \u001b[1mval-KL\u001b[0m = \u001b[94m2.637\u001b[0m; \u001b[1mMSE\u001b[0m = \u001b[94m33.555\u001b[0m; \u001b[1mval-MSE\u001b[0m = \u001b[94m34.100\u001b[0m\n",
      "Training: \u001b[91mend\u001b[0m.\n"
     ]
    }
   ],
   "source": [
    "callbacks = [\n",
    "    # Callback to interrupt the training if the loss stops decreasing:\n",
    "    tf.keras.callbacks.EarlyStopping(patience=5, monitor='val_loss', mode='min',\n",
    "                                     restore_best_weights=True),\n",
    "    # Callback to log the graph, losses and metrics into TensorBoard:\n",
    "    tf.keras.callbacks.TensorBoard(log_dir=model_dir, histogram_freq=0, write_graph=True),\n",
    "    # Callback to save the model  specifying the epoch and val-loss in the filename:\n",
    "    tf.keras.callbacks.ModelCheckpoint(\n",
    "        os.path.join(model_dir, 'weights-epoch{epoch:02d}-loss{val_loss:.2f}.h5'), period=5),\n",
    "    # Callback to print compacted metrics at the end of each epoch:\n",
    "    callback_simple_log,\n",
    "    # Callbacks to log some results as image grids into TensorBoard:\n",
    "    callback_tb_grid\n",
    "]\n",
    "\n",
    "\n",
    "history = vae_model.fit(\n",
    "    train_dataset_with_gt, epochs=num_epochs, steps_per_epoch=train_steps_per_epoch,\n",
    "    validation_data=val_dataset_with_gt, validation_steps=val_steps_per_epoch,\n",
    "    verbose=0, callbacks=callbacks)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once the VAE trained, its decoder can be used to generate novel images, simply by passing it a random or chosen code. The key property of VAE is indeed that, because of their specific sampling and training, their latent space is continuous. This means that if the model is properly trained, any code vector in their latent space should correspond to a valid image.\n",
    "\n",
    "As an example, we pick some random code vectors and pass them to the decoder:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 5760x360 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_examples_to_generate = 16\n",
    "\n",
    "# keeping the random vector constant for generation (prediction) so\n",
    "# it will be easier to see the improvement.\n",
    "random_vector_for_generation = tf.random.normal(\n",
    "    shape=[num_examples_to_generate, latent_dim])\n",
    "images = vae_decoder(random_vector_for_generation)\n",
    "images = np.reshape(images, (num_examples_to_generate, img_rows, img_cols))\n",
    "\n",
    "figure = plot_image_grid([images], grayscale=True, transpose=True)\n",
    "figure.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Note:*** We used a really simple model, hence the noisy results. State-of-the-art VAEs are commonly used to obtain highly realistic images.\n",
    "\n",
    "These input vectors can also be purposedly chosen. For example: we built here a VAE with a two-dimensional latent space. If we divide this 2D latent space with a fixed grid and if we pick a code vector corresponding to each grid intersection, we can, therefore, explore the latent space homogeneously to observe the resulting images:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LPB4nk8kwODgIwNLSEoVCgWg0ys2bN3njjTdkEZyI7iYSCdbW1poaWTGbzUSjUTo6OqSQWVpaIhAIEIlEmJ6e5he/+IV88Z988klefPFFYrEY8Xi8KTwEF5PJRDabpaurS37HtbU11tfXJa8f//jH5HI5qtUqjz32GF/96lelQGsmVFWlXC7L4hTYiRYIv6TZbOa1115jZWWFVCrF8PAwtVqNfD4v/drNeE5CdAnvKOyI90AggKZpVCoV3n//faamppidncXpdMpC22a8O40QosXpdEpx53K5pIe/UqmwtLREKpUimUxK8SrEYrO5mEwmbDabjNqKSLvNZsNisZBOp3dFduv1utzYm81FFHo11kvUajXMZrMsPhbFVw6HQ3ryms0FfnWQEVzEMxD/3uVyYbVaMZvNWCyWXZv6fkRuRXGx4NII4aXXNI1MJkM0GpX/7X6My73WcUVRcLlcWCwWFhcX+eSTT/at+8r9+L1tNhtWq5Xt7W2uXbsmC+P2433+Ii5ut5tAIEAymWRqakrWMO2HSP6i72exWPj1X/91UqkUb731FrlcTtaJtKO12ne+8x0cDgf/+T//Z9LpNFartW1dhM6cOcMzzzzDX/zFXxCLxbDb7Z/xILcCQ0ND/LN/9s/4L//lv5BOp3E6nVLL3AsPOq8fWiCXSiXeeOMNlpaWGBwcZHx8HIBPPvmE9fV1NjY2uH79OvF4nEQigdls5urVq0xMTODz+fj2t7/NzMwM5XJZLhAP+xJUKhXOnz/PysoKExMTHDlyBIDr168zMzNDoVDgzTffZGNjg1wuh9ls5vbt21KYfP3rX2dxcZFarbYnLrVajbm5Of79v//3jI+Pc/z4cQCWl5eZn5+nXC5z9uxZtra2yOfzUrwLu8WXv/xlmSa410J/v6jX6yQSCV5//XVu3rzJwsICANvb21y9epV6vc6nn37KxsYGxWIRq9UqDzlOp5Px8XFisdiuKOXDctF1nXw+z9TUFPF4nK2tLQBSqRTT09PY7Xbm5+d3cRGHG4/Hw8DAgLS/7DWSLL7P9va25CA+NxKJ4PP5ZDS7UCjI1LnP5yMYDNLb28vi4uIXvoj3C1VVKRaLZLNZKTTy+TyffPIJXV1d1Go1lpaWiEQishCrq6uLnp4eurq6ZFp9r1xUVaVare6KBhSLRZaWlnA4HKTTaVKpFKurq9RqNcLhML29vQSDQQKBANFotGmRZJPJJD9LPO9kMonVamVubo58Po+u64yMjNDR0cHRo0fp7+/H6/XidDrJZrNN21SFKBaiDyCbzaIoCslkkl/+8pd88sknPP/883g8HiYnJ1lfX8dqtUpR2KyuJ6KorDGaLZ5XqVQikUhw8+ZNnn/+eRRFIRwOMzQ0xPnz5z9TfNkMLqqqyt7PgDwoiQj7wsKC7LgSCAQ4cOAA09PT+2axEFYY2P0ddV0nm83KFlCqqjI0NCTXoWbzEF2a7uTR+L9rtZrsYrEfaOwg9XlrpsvlQlEUWWQr3rv9iADejyg1m82yuLSxrWUzOdwPzGYzIyMjMusrbATtGBdVVXnllVfo6+tjfX2deDzetvajiqLwu7/7u5w8eZL/9t/+G0tLS01pbvAw+K3f+i1+53d+h4sXL973QfNBx+yhBbKu67z99ttMT09z5MgR3njjDQAuXboE7JxMt7e35URXFIUf/ehHTE5OSm9utVrF6XRKH/JexM8nn3zC8vIym5ubfPzxxwDMzs7KLhqRSIRYLCa5/PSnP+Xxxx9neHhY9lC1Wq27oiEPg9u3b7O1tUUsFuPGjRsAbG1toWkaHo+HWCxGOp2Wp+OPP/6YU6dO4ff7KZfLVKvVXZvOXhCPxzGZTGQyGVZWVgAoFAqYzWa8Xq/0OwuRfuPGDaampqSIrNVqqKraFC6ZTIZsNks2m5WRWhGx7OzsJBqNUiwWKRaL6LrO6uoqV65cIZFIyJNys7jk83kKhYK0AMHOIhSJROju7mZzc1OOi6qqUghtbW3JRbJZFpRSqUSpVKJQKODxeICdjWJ7e5uBgQHm5+eJxWJkMhkCgQBms1n224VfeT73ikqlQrVaZWtrS9paVFUlHo9z/Phx1tfX+fTTTykWi4yNjREKhfjkk09IpVJS0DaOyV4W72q1Sq1WIxaLyWi2ruu4XC4ee+wxMpkMr7/+Ol/72td46qmnZCeafD4vRWyzRJiIkKdSKelfrdfrOJ1OgsEgXq+X9957j1OnTtHZ2cnk5CRnz56lUCjsEinN5JLNZnd1kDCZTDJjFIvFZMeY3t7efetrK7jcuTk2WlKcTqcUjE6nk/X19V2bWLPGRcy5e60NiqLQ2dmJz+eTYyP2pWZGve481N0NTqeTiYkJYOf9Es+y2dG3+/k8k8nE0aNHqdVqJBIJNjc390UE3uuwcCcGBwep1+usrq4yPz+/r1y+CAMDAwQCARYXF7lx48a+Rke/iFNXVxdHjhwhGo1y5cqVtl5CZLPZePnllykWi1y4cKFt4thkMvGHf/iHKIrCxYsX7ymO97rG7KlILxKJkEwm2d7eJhaLAcgiEb/fv+tGKdG6a2Njg4MHD+Lz+SiXyzLCslekUimy2SyZTIZcLgcgbQMdHR2Si67rmEwmCoUC8Xiczs5OFEWRp9W9cslms1KAiagtINOiQgTDzkMulUqk02nq9TqZTEamIZuxMIioQLlcls9HFEABkg8g00fZbFb6v5o5+cXBpFKpyGiw8L2KsRGT3GazYTKZyOfzzMzMsL293VQuominUqnIMRKtoERER/w34sagTCbD1NQUm5ubsn92s7gAsnUa7Hz/5eVlRkdHSafT5HI5FEUhGAzi9/spFAp8+umnTR0XMfZiXGBHqK+urhKJRIhEIiQSCfx+P08//TQDAwPMzc1x8+ZNyaNZgkd8J0VR5D9rmkYikSASiUiLjNPpZHh4mM7OTj7++GMWFxfljU7Nej6Nm1HjWiZsMD6fj3g8Lote+/v7qdVqbG9vN/2ykMa16U57gLCBVCoV+c+9vb1yfWl2Gv9ea5Q4sAm7m7B69PX1kcvlZB/vZnP5PDQWIdvtdoLBIKlUqumFaPfzWYqiSFuDw+FoaiH0g0K017TZbCiKsqt9WKuhKArj4+M4HA7i8TipVKptXADGxsZwu90sLy831eL3MOjt7cXr9fLBBx/IgE674Ha7CQaDnD17Vgbd2gHRUODcuXPcunXrnv/dXufQntq8CUvC9va2jP6J0H+pVJIRHavVis1mw+fz0dfXB0Aul8Plcu36AnvZ1ETEM51OS+EtBK9IYYsoi81mo6Ojg76+PnRdJ5fLfaZQ72G5NP7ORuN4vV6nUCiQSqVkr2Sr1UpHRwf9/f3ouk6hUJDFPc2A2MRERE4cEGq1GoVCQfZ2FL5Tt9vN8PAwVqtVpiKbCTEOjX9qtZr0BAKyF6fNZmNiYgK3291UQXovLrq+U1gUjUbZ3NxEURTcbjcWiwWn08nRo0fx+Xz7tpndOS6ZTIZLly7J275EIZ/f7+fo0aN4PJ594dKYYhUHx0uXLvHRRx9JUVgulwkGgzz++OO4XK59G5PG91FEhkUkO5FIMDMzw9LSEgCTk5Of6Wu9H3x0XZddK2q1GsvLy9JLGovFKJfLjI2Nyaj6fqPxytV4PC5tTOLAKeogWgFhQxHzZmFhQRZaFQqFfbMT3A0ikg2/sliIWhhhq2qHABPRa13X2draalsEDnbWWmGrEzVB7YLVamVsbAxVVdt69TbsHMZPnjyJpmnMz8+3lYuqqjz33HOy+1U7uSiKwte//nVcLhdTU1NtnbsvvfQSPp+Pc+fONfXmvDuxZzVWr9d3pfCE6BERC+ELq9VqpFIpUqkU6XRamqpzuZz8+b0+fCEuxMIohKE4AYqCErGZrK+v4/F4yOfz2Gy2Xbz3EuUQIrSRR71el55e4QcUfObm5lhZWSESicgIbzP9gneOSb1eJxKJyPRspVLBbrfj8/lYXFzk448/lp7SxgssmsGl0RIgBLvgInywVquV8fFxlpeX+eCDD+TFHI0ew2ZDjMvGxga1Wk0Wpvn9fr785S8zOzsrRSLsbyN0cctjKpWSBVi6rtPf38+Xv/xlPvroIy5fviwPgc28OehOHtFoVEa5bDYbmqYxNjbG6Ogof/7nfy4b+sP+NKoXn1cqlahWq2QyGfme5/N5QqEQfr+fd999V6aI94uLgOjuIebx2toaiURCFu8Ju4fAfnIRHl8hCBcXF0kkEoTDYSwWC3Nzc7vmxn5zaWydtrm5KTNHNpuNlZWVlolSsc6IP6VSSba7E51yWg1h7+ju7pY89nNz/yKI+g5d10mlUm0p+BLw+/2cOHFCWizaGT0OBAK8+OKLVKtVLl++3FYuXq+X3/7t36ZarfLWW2+1lYvT6eSP/uiPqFar/PjHP27bfLHb7fyrf/WvqFar/M//+T/3dUz2HCK8M9XW6F+t1WpSpFYqFSqVCi+99BLhcFj2RRY+sP0Y7M/jUigUeOGFFxgbG5P9ZkXhVbO4NEbjGn+/+LtUKpFKpXjqqafo7++nXt+5flqk/pqd/mvkIjZ5waVcLpPJZDh06JDMAIgU935zEbYT8ZxECj0YDJJIJOR47HfEVHAR46LrOl1dXfL2q8Yb9Pabi+gFLSKBZrOZkydPSh+y8GrD3g5zX8SjUqlIHuVyGb/fz8mTJ+nq6sLr9e6KIuy3T0+MhYhIdnd309fXh8/no7Oz8zPr0H5yEXNVRPs7OjpkT9nh4eH7rtxvBpfGzEMymZSeZIvFwoEDB3b1TN3vDVbw0XWdTCaDz+eT9obu7u6mZ6W+iIv4vsVikUAgACDbrLWSC/zq1sze3t5dmYj9an33eRB9zwOBAKVSiVgs1vLxEBAe8c7OTlKpFCsrK20ZE8Glu7sbp9PJ8vIyCwsLbeUSCoVwOBxcv36d2dnZtlpgent75Y2/c3NzbeEBO/dveL1e3n77bW7fvr2vv6tpb8S9RFRjteXhw4cJhUKYTCZu3brF7du396U69PO4iE38qaeekv6rmZkZ4vF406/LvRca20CdOXOG0dFR2VNwP67K/SIuQgy+8MILHDlyhGw2S7FYlCKglVyEteOZZ57h+PHjMmLYDH/4/aBRLIuWbhMTEzzxxBO7qqpbsVA1colGo2SzWex2O2NjY7siT60QPYLHwsKCrDlQVbWlc7WRi67rskNNJpPBarW2PP3YKE5v3LghD95Op7MtXASftbU1+S6JTiithuAjIun1ep3e3t62RJ1ENFkc5qrVKoFAoOViQ9d1HA6H7PSxvb2NzWZri+jRdR2v1yvrPzY2Nu56+UQroCgKHo9HtgtLJpNtFesdHR10dHTIotx2CmQRAGhsp9kuLgcPHsTpdEqrUjtgMpk4ceIEABcvXtz3ta1ls9BisfD888/LlOCtW7ea3mbnfmGz2XjllVekOFxfX5e+tFbCbrfzwgsvyGJC0U2jHXC73XzpS1+SbdZaJUgbITZVj8fDyMgIqVRKdlRoNYQgtNlshEIhIpHIvtyOdr9cSqUS0WgUu91OLpdr27iI/tmFQoF8Pi89jO3ArVu3WFxcpFQq7fJTtgPnzp1jbW2NfD4vffSthhCCly9flgf+xv7NrYbZbCYWi1EoFCgWi22LlsJOO7NyuUyxWJSFgu0QpuFwGNipwVlfX2+bxUJRFMbGxtB1nWg0ytraWlv9rYODg1QqFVZWVkgmk221ewQCAcrlMqurq01r5/kwEFH+SCTC7OxsW9YUAWEHvXLlimwb2Q5omkY0GuVHP/oRb7zxxr6vJy1bOd1uN6+++iqxWIylpSVpuWgHRkZGePnll0mlUsTjcfx+f1sM50899ZS8mMNut8vUWzvw9a9/nS996UvEYjEmJiZwuVxt4QHwa7/2awwPD7OxscHw8LA8ybcauq5z+vRpOjo6uHz5clvSsoJHvV5nbGwMm83GuXPnZCSqlRAXlHg8HnRdZ3Z2Frvd3hbRIyJNoqB0fX29bXO2Wq3uat6fz+dbWpB2JxdxW6i4oKcd4yIOdeJiJrPZvOuSoFZzKRQKlEol6dcPhUJtERwie6hpGoVCQXaQaAecTqe0lDW2VGw1RIceUS+0urratjExmUyMjIxQq9U4f/488/N8JK73AAAgAElEQVTzbeMianHS6TT/43/8DzY3N9vCQ1EUfD4f4+PjzM/P86Mf/YhMJtNyHqL+pbe3l3PnznHx4sV9P2C2ZLdXFIU/+IM/YHR0lI8++ohbt27x2GOPtUUMqqrKn/3Zn+H1erly5QrxeJxXXnml5VxUVeXf/bt/h9PpZGpqCpfLxb/4F/+ipRwEFEXhT//0T7FarVy7do2RkRF+7/d+r21c/uAP/gCTycTf/d3fEQgEGBkZaQsXgFdffZVCocBf/uVfUiqV2hZFBnj++edZX1/nb/7mbygWiy3f4IUP+PDhw2SzWa5fvy6LjVqNWq1GMpmUbe/m5+exWq1t4VKtVolGo/JW0UQiIb23rUa5XGZzcxNN0+R12L29vW3hks/nuXHjhvSya5pGf39/WwRHpVJheXmZcrksx6S3t7elXHR9p5e3KMI1mUx4vV7Zn7mV0HWdUChEpVIhmUzicrnk1eCt5lKv1wmHw7Ktp6ZpspNRO8blwIEDLC8v8+Mf/1i2+2zX4SEUCvGLX/yC9957T0b4Wx0w0nUdp9OJ3+/nb//2b1lfX5d6aa970IM833q9ztDQEPV6nampqV3ieL/Wt5asmrqu88wzz2C32xkeHmZ4eFheitBq6LrOY489hqZp+P3+tkV6YOeqRHEjlcVi2XVDViuhKAoDAwOYTCZisRjJZLJt0X1xy5W4mnpra6stp1XYWYhGR0dlcY9oH9guLkeOHGFoaEj6bduRErVarUxOTjI+Pr7LG9cOuFwuenp66O7uJhAItC1trus6brcbj8cjrzRulU/9TtTrO1dgC29rOzINAo1Ft8ViEY/HIyPbrUY+n5eWIJvNxoEDB3A4HC3nIa4ldzqdDA4OMjExgdPpbDkP2Hk+DoeD/v5+jh07RjgcbotNyWQyceDAAfx+Pz09PQQCgbbZcWw2GydOnKC3t1f28NY0rS1cPB4Pjz/+OG63W2Y/2mWX6urq4tixYzLjAM3xZj/oGul2uwmHw/ty+dHd0J7RNmDAgAEDBgwYMGDgEUVLcrSivU2tVpOewe3t7X3tyXkviOuKRfX56uoqFy5caCkHYFchnOgPffbs2baMiYh41Wo15ubmiMVifPLJJy3lICCqyyuVCrdv32Z1dZVkMtkWLp2dnQCyDV2zbn3cCxfYKXgVfZtbjVAoJDmIwqd2+eaDwaCs7Ha73W3l4nQ65W2d7eio0QhhrSiXy3Ldbde45HI50ul0yzvANKKxH3I+n8disZDP51ted9JYiJ3L5fD5fLjd7ra8xxaLRV5xL7IOwpbT6ufj9/txOp1ks9ld13+3IyN0/PhxOjs7SafThEKhXRdstRKqqvKbv/mb0gZjtVrls2r1fDGbzXzve9/D4XDITl9iPFr5Dvl8Pl599VXefvvtz/ze/RqTlghkVVVxuVyUSiUsFgu5XI5r16614ld/BuImsHK5TCAQIB6Pc/78+ZbzMJvN8qbBoaEh3nnnHc6dO9dyHrAzJslkEofDwejoKBsbG2xsbLRFrOu6ztraGna7naGhIVKpFJFIpKUcBIrFIrOzs9hsNgYGBuRV4O3Y0HK5HFeuXJG3UYorr1u9yScSCa5cuUIwGMTtdstFsx1FrhsbG/zyl7+Uhwe3290We5CiKNy6dYtr167hdrspFAp0dHSwtbW1q191q7hcuXKF6elp2UpMtNBqvLykFdA0jQsXLjA9PU0ikWB6ehqz2dxyLiIQce3aNR577DGWlpZ4//33Zc/oVs3dWq3G6uoqZ8+e5fTp08zMzPDuu++2ZX2rVqtcunSJDz74AJ/PxzvvvMO1a9dalrpuRKlU4tNPP6VYLHLu3Dmmp6dl+9dWI5lM8v777/Ppp5/KS6raFRRZW1vj9ddf56/+6q9Ip9NtvZL8008/5Ze//CWrq6tt4QA7a9vZs2d5//33W/ZMlAeZhIqiPNSM9fl8/OAHP+CFF15gdnaWn//85/zgBz8gGo1SKBS+8MHruv4Zs8vDcgkGg/yH//AfeOmll1hYWOCHP/whf/mXfykjLl808HdyeVgenZ2d/Nmf/Rnf/OY3WV5e5vvf/z5/9Vd/RS6XkxdjPAiPvXAJBAL8yZ/8Cb//+7/P1NQUP/jBD/jggw/I5/Mt5aIoCk6nk1dffZU/+qM/4ty5c/zkJz/h5s2bUpx+EZrJxWq1cubMGb7zne/wwQcf8PHHH7O1tUU8Hm85F+FB/uY3v8nVq1eZn58nkUgQjUbvSxA2Y96KTND4+DhHjx7l5s2bJJNJ8vk8sVjsfhfwS7qun9grF1VVJZfOzk4WFxcpl8uUSiUSicR9LaDNej4mkwmz2czhw4dRFIXl5WV52Uwmk7mvjb5ZXMxmM1arlSNHjhCJRNjY2JAC8X7FT7O4CC/06Ogoy8vL8mp70cmhlVxcLhehUIhTp07x7rvvykKjB9n/mvEOud1u/H4/Z86c4cMPP2R5efmBhWCzxsTv92Oz2RgfH+fq1asP1eq0GVzEJRSFQgFVVYnH4w8lgJrBRRROipsFH1akN4OL8GHv9dByNy6qqur3+93ERT+N/uNmcXkQHhaLBVVVm3Jfxd3G5G7Y9wiySH8GAgFyuRzFYlGKi1anUFRVJRQKMTo6Ki+CyGazu25/agU0TWNgYIDHH39ctiASQqfV6Ryr1crQ0BCvvPKKbNm1ubkpo4Kt5GKxWAiHw/zjf/yP6e7uRtd3rqvN5XJtSYcGAgG+853v0NPTQyqVYnt7uy0RSk3TcDgcnDhxQlpP1tfX5QGmVTCZTFitVvr6+ohGo6yursoDXaujGyaTCZvNRjAYJBaLsbW1JQ9zrY74iA3E6XRy+/ZtKdDbYScQvy+dThOPxykUCm2zV4i5ubKyQjqdbkuWQaBQKLC5ucnbb7/90AKsGcjn85RKJV577TVpO2kX0uk0mUyGaDTa1mej6zpbW1st34fvBtEdp519mAVEB439wIOMcb1ep1Ao7AuXB+HRjgL5lhTpVatV/vqv/5r5+XlgR5S5XK62tIjSNI1PPvlEpqiFDwxad2NOvV6no6ODeDxOJBIhFovJKFSrUa1WGRgYAGBra4u1tTWq1SqqqrZ8oapUKhw6dIiOjg42NzdldKUdVo9arcaBAwfo7OxkdnaWaDQqW9q0g0sgEMDpdDI3NycvMGk16vU6VquVUqkk+w6L97jVEAfJjY0NIpEILperbd0AxLXg4kZOq9Xatm4NtVqNYrHI8vIy+XweTdPaVvleq9XkNcZiTWlnR418Pk8kEmkrF3GdfS6Xk/2Q2zkm4vp2XddbfvlD4/e+0+vb6jFp1dXw9wODy+fzaOnvbYXFQlEUenp6GB8fx2azsbCwIG+damX6EXaiPZOTkwwNDZFOp2VR2sOmHx+Wh8lk4plnnsFqtXL79m05Hq1OPcLOoeHFF18km82ytLQkN5H7nRvN5GIymXjqqafY3Nxka2uLfD7/QFGFZs+VoaEhksmkjJQ+SGShmVwURcHhcFCtVh+qcKRZ8xbYtZE+ROS4KRaLhp+Vfz9o1KeZz+dOTu1KmzcDBpf74/Ko8DC4GFz+vnJ5VHjcCw8qkCPA8sOSekgM6rreeee/fFS4PCo8DC4Glwfh0iYejxKXR/r5GFwefS6PCg+Di8Hl7yuXR4XHvfBAAtmAAQMGDBgwYMCAgf+/w7goxIABAwYMGDBgwICBBhgC2YABAwYMGDBgwICBBhgC2YABAwYMGDBgwICBBhgC2YABAwYMGDBgwICBBjzQRSGPUkuOR4XLo8LD4GJweRAu7eIBRO9SyfxIjInBxeDyIFweFR4GF4PL31cujwqPe8GIIBswYKCVaEdrOQMGDNwD7bqE4W54lLgYMGAIZAMGDBgwsG94lETPo8LFZDI9MlwcDkfLb9G7F5xOp7yxtN1o582Pd6Jdt2HeDXc+n3aNkd1u3/dn9GjMRAMGDPy9gFiMHoX+6WJT13Vd/mkXrFYrJpNJXt/7EDcMNg0dHR04HA5KpRLJZJJyudw2LiMjI3R2dspbOrPZbNu4HDlyhLGxMfL5PJcvXyYWiz3w7YvNQDgc5oknniAQCHDhwgVmZ2cf6ObSZiIUCvHcc8/x+OOP8/Of/5yPPvqIXC4HtP4dd7vdHDp0iN/6rd9ienqat99+m42NjQe+NbQZ0DQNr9fLqVOn8Pl8zM/Pc+PGDXlFeCuhKApWq5XOzk6CwSD9/f3Mzs4yPz9/3zcAN4uHoihYLBa8Xi+dnZ2MjY2xuLjI3NwcxWKxZTxMJpMU6k6nk3A4TC6XY2Vlpalj0jKB/DDXr+4XHhUuqqq2ZYFuxF6u6m02Gk/J7eZiNpvRdX3XNdftmjNOp5NarUalUmmrGOzu7qZarZLJZKjVatTr9bY9p9HRUQAikQiVSoVKpdI2kXH06FFCoRArKyukUilSqRTFYrEtY/Pkk0/y9NNPs7Gxwfz8PPV6nUQi0RbBfvToUX7/938fs9nM+fPnyWazFItFqtVqy7mMjo7y3e9+l7GxMebm5sjlcly8eLGlAgN2RODRo0f59re/TXd3N6FQiL/4i78gGo22lAfsHOp8Ph9nzpzh2WefZWhoSIqdVkNE1CcmJnj22Wc5c+YMmUyG//2//3fL32mxJ4ZCIV588UVOnTrFhQsX+NM//dO2vNOKouByuRgZGeErX/kKR48e5d/+238ro6etGh9d11EUBZvNhsvlYmhoiOeee45SqcTS0lLLuIh9WexBmqZx9OhRTCYTP/nJT6hUKk17TvsmkMXDE5PN6XRSKpWoVquYTCbq9XrLNjRN0zCbzXLQnE4nxWKRSqWyK+qzn1wURcFsNuNwOOSJ2GazSR6qqkoe+/0SCi4ejwdFUahWq1gsFkqlEqVSCZPJJEVHK7iI07rL5aJaraKqKoVCgWKxiKIolEqllnCBnYU6GAzS09NDPp+nWCzKeavrOrlcrmURQpPJRH9/P+Pj48TjcSKRCOVyWT6zVCrVEi4mk4lDhw7xwgsvsLq6ys2bN6nX65TLZUqlEvF4vGVjoqoqExMT/IN/8A9YW1tjamoKXdcpFAqkUimi0WhLuQwNDfEP/+E/pF6vc+3aNTKZDPF4nM3NTSKRiFzI9xuKohAKhXjhhRcYHx/HbrfLzWNpaYloNNqyA43Y0MPhMN3d3VgsFrq7uxkYGCCbzRKPxwFadtATQnB0dJSxsTHq9Tr9/f3MzMwQjUZbdgDWNA2bzcaXvvQljh07Rr1ex+/3Y7PZdqWJWzEmIjjjcrkYHBzEbDajaRrValUKnVYGcOr1ulzv7HY7uq4Ti8XkWLSSi/juXV1dDA0N0d3dLd8fQGqGVkFRFOx2O2NjY7z00ktUKhVKpZIcM8GlVeIUwGaz8cQTT9DZ2YnVaqVer2M2m6lUKi3hItYyTdPo7e3l1KlTVKtVfvazn2E2m3dlzfbCZU8CWVVVnE4noVBITp6NjQ3cbjd+v59qtYrNZsNut9Pf308ul6Ner9Pd3c3U1BS3bt2iVCo1ZTBVVcXhcBAMBmWEIhKJ4Pf7GRoakpPK5XIxMDBAPp9H13WCwSDXrl1jenq6KVxUVcVmsxEIBGQKOBKJ0NHRQTgcxuv1Ui6XUVWVQCBAqVTCbDYTDAa5ePEiN2/epFgsNm1MxGlPpCMKhQJdXV243W5CoRAWi4VyuYzT6aRSqeB2u/H5fHz44YfcuHGjaVzEydNut+/aDEKhEAA9PT0EAgF5cBCbrNVq5ezZs8zMzDSdi8Vi2bW4+P1+HA4HY2Nj9PT0yP+vVqvR0dFBrVbjnXfekZG5ZnGxWq1omibfIV3X5YHh8ccfZ3BwkFwuRz6fp1ar0dvbSyqV4p133mFlZaUpXMShqXEjqtfrOJ1O/H4/jz/+OL29vXR3d8tIss/nY2Vlhffff1+KwWaNiZivjZui3W4nEAjw6quvcvr0aVRVZXBwkGw2S7Va5caNG1y6dIlUKtW0aIaiKDKz0SikzGYzbrebV199lRdeeAGXy0VfXx9ra2usr69z/vx5GUluZmRFrCmNc0VVVcxmMydPnuSJJ57g8OHD9Pf309HRgc1mIxKJkEgkqNfrTeVyt3GBnTHr6Oigr6+PyclJTCYTuVyO27dvYzab90VgCC53E1EWiwVVVQkGg3g8HkZGRvD5fGiaJgMTjdjLGKmqek/hL7J0nZ2d+Hw+PB4P4XAYl8slx6Tx5/b6rD7PDiWicGazmQMHDjA4OMj8/DwOh0OuAY1juZ9cGvkcP36ckZERZmZmdgWwWskFoFqtEgqFOHXqFIqikMlk7jrH9irc7+e71Go1stksJ06coL+/n6tXrxKNRqnVarvmTCsOEbquk0qlOHDgAN/61rdYW1tjcXHxMxm8VhwiisUibrebf/7P/zmBQIDvf//7JBKJXeLYZDLtKWP16Di/DRgwYMCAAQMGDBh4BLCnCPLAwAD/+l//aw4ePEhvby8Ab731Fs8//zxerxdFUbh06RL9/f2YzWZCoRCZTIZIJMJPf/pTkskkKysrTYloBINB/viP/5jx8XG6u7sBePPNN/n1X/91uru7qVQqvPPOO4TDYTo7O+np6aFcLhOJRHjttdeIRCJsbGzsmYvb7eZb3/oWIyMjjI+PA/Czn/2Mr3zlK4yOjmK1WpmdnUVRFBl9N5vNRKNRVFVlfX29aVF1u93O6dOn6ejoYHJyEoD19XWeeOIJurq68Pv90r5QrVbxeDwEAgEikQj5fJ7bt283zXhvs9k4dOgQNpuNI0eOADtWl8ceewxVVens7ETTNGmpsNlsdHd3s7m5ydbWVlO5mM1mwuEwmqZx6NAhYKew6fDhw3i9Xvr6+uR/J35nb2+vPC03sxDAZDLh8/lQFIWRkREA+vr6GB0dpa+vj5GRESwWC/V6na2tLVRVZWxsjJmZGa5fv87GxkZTirBEBgZ2R/V7enro7e1lcHCQAwcOADupYk3TOHbsGBcuXOCXv/xlU6usRURU13XJqbu7m97eXoaGhjhw4IAsylBVVaYf4/G4tHU1K0oqCkJEOg92qv7tdjvDw8O43W56e3tl1DQej9PX1yetH9C8dKOqqjJKJMZbeDc9Hg+ZTIaOjg7sdrss1BNdAfaTS2Mdg+CUTqcJBoNYLBbsdjs2m02mhAWPZj4j8czvtCooikKxWJQ2O6vVit1uJ51O39PW8LC8vqiaXkTY7HY7JpMJs9lMPB7HZDLJOdYMHoLL570HYvz9fj8ulwuLxcL29jYOhwObzUahUGgql/v5DPEOWa1WFhcXgZ19QxQNNoPL/X6GruvS7rexscHGxobMtjb+7F4jtvf7XcrlsrRNvf3222Sz2c9kHFrlRRZrYSgU4ic/+cldCylbac05fPgwP/3pT7l8+bKs02kWj4cWyKqq8u1vf5tvfOMbMjUOO0Ui4XCYYrFINpslFotJn+2zzz6L3W6nu7ubnp4e7Hb7nsgLKIrC008/zcsvv0xvb68ULyI9rWka29vbJJNJEokEFouFl19+GZfLRSAQIBAIYDabm8JlZGSEl19+mdHRUSlcJicnOXLkCE6nk2g0yvT0tJzg3/jGN6T1QqS3mjXRQ6EQTzzxBCMjI1itVmBHwE9OTlKr1YhGoywsLJDP54nH4zz11FMEg0FpyWjmC+fxeBgeHqanp4fOzp17IrxeLwcOHCCZTLK5ucn29rb0tH7pS1+iu7tbjkkz0zV2u52uri75B6Crq4uJiQk0TSObzbKyskKxWGR7e5vx8XHC4TAOh0P6f5sF4Uv3eDxSDNrtdkZGRhgcHKRer7O4uEgsFmNpaYmhoSFGR0elT69ZXMSGLcQM7Cy4Pp+PgYEBOjo6iEajbG5ucvXqVXw+H8ePH8flcgE0tdJciC8hxAFKpRKFQkGK53K5zPT0NNeuXUNVVfl+QXMXZ1FLIQ5vsCN0CoUC5XKZjo4OXC4X6XSaeDzO7du3GR4els+yme+Q+P2Na4QQVfl8nnq9TldXF06nc5cYM5vN+1JAIwRoo/gWf8rlMj09PQSDQWw2G263G5vNti/tqu7kcCfHer0ufcgul0t2Imj2eHzRGIuxcblcuFwuFEVhfX2d1dXVfamx+KJDiKIohMNhOjo6UBSF7e1t1tbWPiMCm8Xli9DV1cXw8DCappFIJGQgoh1cTCYTExMTuFwuSqVSU62PDwO3283x48epVCpcvHhRWkQb0Spuqqry3e9+F4vFwsLCwmcOU63kcvr0abq7uymVSvsyJg8tkM1mM/39/WiaRq1Wk5uTeNkikQjLy8tcvHiRVCoF7ESBjh49Kk/ywgO211OQyWTC7/eTzWZJpVL4fD4AAoEAiqKQTCaZnp7m3Llz5HI5zGYzw8PDPPnkk7s2l8aiwofhYjKZcLvdbG1t4fV6ZVS9r68Pl8tFPp9nenqaN954g2w2Kz2U/f391Ot1uTg1eon2Es3QNI2FhQXcbreM2oo2S4lEgqmpKd58801ZWe7xeDh8+DClUomFhQUqlUpTNlYxpktLS9jtdgYHBwFIJpPEYjEikQhzc3N88MEHu4oPTp48SaFQYG5ublfxyF6h6zrb29t4vV65YUciETY3N9F1na2tLf72b/9WiqBSqcSpU6fI5XLMzMw03VuVzWbxeDwyWp1IJCiVSmQyGWKxGP/9v/93YrEY5XKZp556iueff55UKsXt27c/s6k+7BgpikKlUpGZHwEhclwuF6+99hq3bt0iHo9z6NAh6vU6hUKBdDr9GbHUjGflcDikQBYZBfEevf/++5w/f57V1VW6urqkZ1IUiTSTi4hSi7nidDpxu910dHSQTqeZmZkhHo8TjUaluBCR0jsjec3wTwpPLewcpmq1mvTUZ7NZ3G73rrEQY3hnJG8vXIQ3+06vofC12mw2PB6PbMckAhCNkd5m+23v9BuKSLtYZ51OJyaTiUwms8uT3UwuYlzuVTjlcDgIBAJYLBY2Nze5cOGCjJA2mwfwucEFcdg0mUzE43E+/fRTksnkPT+vGRHtex0CRBbE6XSSSqW4ceMG6XRa6otmeZDvt2uT1Wrl9OnTJJNJ3nvvPWKxmKxZabUfWlVVvvGNb1Aul3nvvffY3NzEbrd/pqC/FVwAjh07xsTEBH/zN3/D/Pw8Ho+HUqm0a5414xl90c+Hw2H+yT/5J/yf//N/uH79Om63m3Q6vWsNuPMzHpTXQwvkcrnM2bNnWV1dZXh4mCeeeAKA6elpNjY2WFxcZHp6mkQiQTabxeFw8NFHHxEOh+np6eHpp5/mf/2v/8X6+jrpdBrgoaNh1WqVqakpNjY2GBsb4/Tp0wCsrq5y9epV4vE477//PltbW5RKJZxOJ8vLyxw7dgyXy8WLL77I66+/TiKRIJ/PAzyUCKrVaqysrPDnf/7njI2NcebMGQDi8TgbGxvkcjneeustlpeXdxXGmUwmvF4vzz77LBcuXKBQKFAoFICHF8i6rpNIJHjvvfdYXFwkEokAO8/t9u3blMtlPvzwQ5aWlqhUKrhcLimERLHE1NSUFIjw8JE5Xd/pMjA/P082m91V6bqxsYHJZOLq1assLCxQrVZlwZPH4yGfzzM8PCyFqfjZvURb6vU60Wj0MxXAuVwOn8/HzMwMc3NzVCoVnE4nAwMD+P1+tre36erqkoVxYr7udVEqFAokk0kpesrlMu+++y7d3d0sLCwwNzdHNpvFZrMxODhIV1cXCwsLeL1eIpEIuq7vuZJZCORGG0u5XGZhYYFyuYzD4WBtbU0Wh4yOjtLb24vFYsHj8ZBKpWS0bq9jIjb1xncwmUySSqVYX19HURQ5FxwOBwcPHiQUCqFpGm63W77DzeDSuJGKhTuXy2Gz2VhZWeH8+fM4nU76+/sJhUJ4PB68Xq+0FoiuIwLN2MBEdB2Q60Q+n2d2dpabN2/S3d2NpmnSnnPu3DnMZvNn1tdmcGm8YEJ8frlcJpfLcevWLb7+9a9Tq9UIBAIcOnSICxcuSDvB50V+H5SLEKbiHarVarue3dbWllxX6/U6w8PDTE1N7RJMe+XS+Fn32uTr9ToWi4VqtUqpVMLr9X7mM5pth/k8hEIhVFWlVCpRLpd3dYBp5vNp/PteEO9NsVgkFovJjkHtiE46HA5piVxfXycWi921w1QzxuWLYDab+fa3v83AwACvvfYaKysrd43y73Vc7ufnFUXh937v9zhx4gRXr17lypUrd42s74XL/f7st771Lb7xjW/wwx/+kDfffPOuEeSH/WyBhxbIuq5z6dIlNjY2iMViXL16FYCrV6+iqirVapWtrS3i8TjFYhGTycSbb77J008/zdDQENVqFU3T6Orqkov8XtLFy8vLJBIJ+XsB5ufn5SSMRCLE43FKpRKapvHee+/x5JNPSm8usCuK97BRwlgsJqO04u/t7W1MJhOqqhKNRmV1e6FQ4OrVq5w4cYKenh7pBxbt3/aKfD6Pqqqsrq7y7rvvAjubl8VikZ4z0U5N13UWFha4ffs2FotFWmM0TWuK31bYTba2trh8+TLwqy4oTqdTtjArlUpYrVai0SiLi4vkcjnS6XTTotmA9Fxvbm7KuSf8gH6/X/p6RdeTYrHI3Nwcy8vLspPE/S5uXwQRkRALMOxESzVNo1gssrm5SaVSoVwu4/P5sNlsskm8SMs2g4tI1cfjcdxuN7ATRYnFYoyMjJDL5YjH45TLZUZGRhgeHmZ6eloeJJrFo5FLKpWS1iAh4CcnJ9F1ncuXL2O1WnnxxRcZGRlhdnaWtbU1uaE2m0s2m5VR0Hq9js/nY3JyEovFwqVLlxgeHubMmTOk02nefPNN4vH4LmHdrMxHrVYjn89LLiJ75/P5CIfDXL9+na9+9asEAgHq9brsptFsLuLzisXirup+4af1+XyUy2UZPe7o6JBBgjsPHOK77YWLoiif8eILoWqxWAiFQjIL4HA45DotrBbN4NLY/eVuUBSF3t5eDhw4gKZpWCwWcrncZ6Lw9xtBux8unwen0wPeYi4AACAASURBVMnTTz8tfdqLi4u7bDKfJ/SbzUVVVU6cOAFANBrl8uXLd42Q7pXL/Qr+w4cP09nZSSwW49133/2Mt7UZuN/PGxkZ4cknn6RUKvHGG2/c0wKzHzaqO+F2u/nt3/5t6vU6P/vZz+5pO9lvLmazmX/5L/8lJpOJs2fP3lMc75XHnor0hDhOJpOy0bmIiHo8Hsrl8q7TqCiEK5fLUnjkcjkZFdwL4vE46XSaUqkkU1bCTO7z+Xa9bJqmsbGxwdbWFhMTE7I1XKFQ2HP6PJPJyO+0vLwM/CotGggEZGRM/DtRAODz+XC73RQKBWkz2Cvy+bz0zCYSCfndrVarbM1Xq9WkUN3e3mZjY0NGvsTkbwaXxii0iPAJz6uwmIge2V6vl0wmw9raGrFYjFgsJn++GS+d2EiF2ABketpqtUoxJnoi1+t11tfXmZqa2tWLuJlcqtWqPBTZbDaq1SqBQACr1SoPKuFwGLvdTjweZ2pqSorqZnAR30lVVfk+Op1O+b7G43ESiQRWq5Unn3ySvr4+8vm8tFw00wIjDkPiOcCOWN/Y2CAej0uLzOTkJM888wx+v59r166xtLREMpmU71czuIj1QBz6YSdqmkqliEQihEIhSqUSgUCArq4uvF4vPp+PtbU1MplMU8elcS1t/OdCoYDVapXRN2FvECJMHATvZm14WDSuCY3/LMbe7XZLsWy32wkGg5TLZRKJxF1tMHvBvby24vuKQ5bFYsHlctHV1UUymdx1K1qzeHwehKXBYrFgs9nwer2sr6/vi+f3fmA2m+UaY7VaWV1d/dz09H7CZDIxNjYm70sQWbpGtNJje/LkSdxuN3NzcywsLLTNe6woCo899hhut1ve5ncvLq3g2NvbSyAQ4MaNG1y4cKFtXERDgU8//ZS33npr33jsSSCLxX9jY0Nu7o3+uFwuJwttRPozEAiQy+VIJBK4XK5dKcjP6yH5RRALs9isYWdTFZ+XzWYxmUxYLBZZGGW322UhoShsEXjY06p4qXO5nPxZm80mhWY2m0XTNFktLJrHp1IpEokENptNijbBYy82C2DX6Vf4myuViuTi8XiwWq1Uq1XsdjvJZFL6v5qVIhabVeMYC9GRz+dJp9OYzWa8Xi9ms1n2Hl5bW5PFWc0qYhFc7vROVioVWWxlNpvp7OyUPZnD4TCXL1+WHvFmLQCNXMQ4C2/v1tYWW1tbmEwmurq6ZCGf6J7Q7AbxYo42RlmSyaQUn8Ja0dHRgc/no7+/H7/fvy/9Lu/8TqqqUiwWuXr1Ktvb21L4iAjqxMQEXq9335rmN3aOEP2ihW99cHCQtbU1BgYGcDgcMkK4X5XcjRFP4fdVFIWFhQWCwSCJRELOj2AwKH9mvyH8xpqmEYvFWF9fJxqNYrfbpXBv5LGfnBrtFiJlH41G5f7TrJ7dX4Q7106LxUIikSAcDpNIJO5a4LSfXBp/V2dnp/zf29vbLbsq+G7w+/2EQiEURWF5ebnlNxw2wul0cuLECUwmE/Pz820dF4vFwosvvoimaf+XvS+Ljeu6z//uOnf2IWeG5JBDcRclSpQoW5YSW7blxIkNqahjI2kCIw1QoEla5K3p8tz2pS3aBs1DH1KgCdIgbZPUKeLE8RYtlqxdokQt3PdlOMPZlzvrvff/QJzjGYqyRXLmDv3v/QBBtiTe+eacc8/5nd/y/TA2NkYjnvUAz/N4/fXXYbFYcOvWrbq1jWdZFq+//jocDgcuXLhAU3RrgR0ZyJq2XkWfTqfpRiDLMjiOo7le5V3z4vE47UyWy+WoxAwp4ttpNztFUagwP+HC83wFl0KhQD1iwLpnM5lMUvkfsgB34tXWNI12xyM8CoVCBQ8SliaXDPL9yW2ebBA7NT5IWLb8sCiVStS7z3EcvTzYbDYUi0Vks1k6j6IoViXvl3DRNK0i15YUJyqKQhUkSDOXYrFI878A0IKNWnAhXvvFxUWUSiUIgoBMJoO2tjYcOHCAFliSXNuNjT12ygX46DAlkYzJyUkUi0XqGXS5XDh06BDW1tZw/fp1pFIpyqVaeYvlxlc6na7w+pELrcvlQmdnJ65evYrr16/TSAPHcVXNnyznQi4MiUQCiqLA5XLRHE63241z587hwYMHdA+phVA9+U6kIKX8gAiHw3QPuXz5MoLBYNXTGjYD2Ufy+TxYlsXk5CSi0Sg6OzvB8zyGh4d1O1RJugKJTM3OztIUDLPZ/FBRaS3HhfAg73e5rBvP87QgVw8u5PlEko+oNxUKBXr26YHy94k0qnK5XFAUBZFIpCqR3K2CRIra29tp6uXy8nJdPbZdXV0YGBhAsVjE8PCwbpJlm6G9vR0nTpxAoVDAm2++WZeW8QQ+nw+vvvoqCoUCfvrTn9aNi8fjwTe/+U0Ui0X8+Mc/rimPHbea3kz9YWMnE2Dd+CuVSrQDViKRgCiKSKVSVWtPuNHo0TSt4iZKDAnC5fjx48jlcojFYrBYLMhms1WRzSLfo/zFyufzFRs0+XtVVXH06FFafel0OhEIBKr6Um5MkyAFGcBH3rBUKgVZlnHw4EHcuHED6XQaoihW5C9Wkw/5nVxYiEdQ0zSad9ze3o5EIkENkVpJIREUCgUa3gdAUz5kWYbH48Hc3ByVHapFa/Ly55F8dOCjw9Xv99PPXlpaquj0V00u5fOTy+Xo/JBoBwmFFotFqgZQCx7lXMpVKog3ua2tDT09PbDb7bQwjPz7Wm6aJG+cpOGQi5TX66WpU49KQag2iCeUXDBTqRQcDgd9r30+HwRBqGqK0kaUP5OMDcMwyGQyVOedYRhaNFiN4tbH4UR+EcOUaJ9bLBa0tbVhYmKC7oO1NNQJGGa9O6jP5wPDMLBYLHA6nTQtSA8QI5njOHi9Xni9XiiKQvPF9chj3ciH53l0d3ejpaUFmUymar0RtgOO47B//37Y7XYsLS3h5s2bdeVC5CtHR0c/NqVBDy5PPPEEXC4Xrl69ijt37tSFC8uyePrpp9HQ0IAPPvgAY2NjtY1EVeMhxAAjv8pRLoty6NAh2t54bm4OIyMjFS0TqwXCY+PAlXM5duwY1T+enJzEzMwM9chVM2Rd/jzy38RAB4CTJ0/C4/FAEASMj49jdXWVJpxX2+jZjAspAFNVFSdPnoTf7wfDMFhYWEA6na5JqKucC/lFvGDEy/7Zz34WnZ2diEajNKe7mvrDj+JCvF+5XA7xeBzFYhH79u3D3r17EY/H6dqqVVpB+S+yXmVZRiAQQD6fR0tLC3p6epBOpys415qHoijIZDK4d+8eYrEYTW0o907WyvgqX7OKotB6gTt37tDiwWo2b3lcLiQClMvlMD09TT2CZK7qwSWfzyMUCtE0HRKt0xPlF0hyoSwUClS/uh5cynXuSSpZLfaTj+Ohqircbjc12GOxmC7tgTfjomkaOjo6aH72zMyM7sYxAcMw6O/vh9VqhaqqtJFWPcBxHAYGBtDY2AiWZR8pe6cXlyNHjsDpdFaoSdUDPM/j+eefhyRJD+Wq6wmTyYRTp04BAM6fP19zHjVvNU0WutlsxrPPPks9hBcuXMD9+/d1fyHJzf3EiRMolUpIJpO4c+cOFhcXdedhs9nw1FNP0XDtzMwMTSfQGw6HA4ODg1TqK5PJ6P5Cko3b4XCgs7OTegT1yhcsBzGCLRYLmpqaaAhdb5RfHoD1KuLl5WXazENPHqVSCdFoFKurqzTfv1rNfrbDZW5uDisrK1S+S+8xIVwURcHExATW1tZoile1Gg9tlUuxWMTdu3dpfivpBqY3VFVFLpfD4uIi0uk0kskkUqmU7jyAj/YV0rAqnU7XJa9U0zS43W56cVhcXNQ1B3kj+vr6wLIsvfjWywBjGAYHDhwAACwvL2Nubq5uBhjRzCapf/WcH1JEmUwmMTY2RiPPeoPYTCzLYnp6GleuXKmQd9QLLMtSadO3334b77zzTu0/s9YfUO6J6u/vRyKRwOjoKKanpx9Lt67aXFRVhcViwfHjxxGLxTA/P49UKqVrJTEZD6IfTQr0TCaT7nlg5Ds/++yzGBwcRDQaBc/z8Hq9dfNsfOELX0Bvby+CwSDa29thsVh036TIWnn66afh8/kwOzuLlpaWumwMxGt95MgRWK1WXLhwoWZdyT4OxJPc0dEBhmFw7tw5iKJYF29PsVhEPB6nrWinpqaoAkk9uITDYZq3TpRg9EZ5RMhkMkFVVaRSqbpxIRKSpCGUqqp1u8SQyBQpFLbb7RBFUXcuZI1qmoalpSXaqENvMAyDxsZGAOvrd2FhoaJbpJ4QRZF2NE0mkwgGg3XzINvtdnR1dUFVVdy6dUt3xxkBy7Job2/H/v37kc1m8ctf/hKhUKguXHiex8mTJ9HT04O5uTn86le/qkuBns1mwx/+4R/CbrfjV7/6FW7fvl3ziJRuJ2xnZyeOHDmCq1ev4tKlSw/l6ekFhmHwyiuvoKurC7dv38bk5CS9MeoJlmXxF3/xF3A6nRgdHUU0GqUedr3Bsiz+6q/+CmazGaOjo5AkCV//+td15wGsz883v/lNCIKAW7duobm5GZ///OfrxuW1116Dpmn45S9/CYZhaJvseuDEiRNYXl7Gj370owpdXj3BMAwOHjyIiYkJvPfee8hms3W7NORyObS0tCAcDmN6erqiKEtPFItFhEIh2Gw2ZLNZrK2tUd1zvZHP5xGLxSAIAorFIhKJBKxWa10MjnQ6TTXgS6USUqkUXC6X7lxIxCEej9NLBJG61JOLqqpobGxEsViktQ42m60uY6KqKlpaWui4eL1eWK3Whzpp6sWFjMvMzAysVit4nofZbNadiyAItCnUG2+8QYvo9b58a5oGv98Pu92Oq1ev4uLFixXysHpzefrpp2EymfDrX/8aKysr9LK50zNoK9+DYRgcOnQIwWAQV65cqXAm1uoM0m0Hb29vh9/vR2dnJ5Vkqgc0TcPx48dht9vR1tZWV6/g0NAQ1QImRS31Cud0d3dTdY1cLqe7d5+A4zgqkxUIBBAOh+sms8PzPPr6+iCKItUBrhcXk8mErq4uKttVnseuJ6xWK/x+P1paWqgcX72qmZ1OJ5qammjXxY1tYPUCaRxit9uplGW1awgeF4qi0EZApOi3XnsKUcshRdn1iHoQkGJwUuBJdJr1NDQYhqHNmyRJgtfrhc/nq0vkg3j1eZ5HQ0MD+vr6aE2O3lzMZjPtoidJEmw2W9282R6PBy0tLTCbzUilUhBFUfd1QuDz+eDz+aCqKm0oUy5AoCdIugfpvLtRmGG72Mr30DQNyWQSDQ0NFbZSLeemPruVAQMGDBgwYMCAAQO7FLoZyF1dXbQAizQaqIc3geg/qqoKQRAgyzLW1tbqdoMnHriZmRncunWrLjdVkqOoKAri8Tju37+PDz74oC5cXC4XgPWw9dzcHKanpzE1NVU3bwKwrh29tLRU0dGvHlyIMgEpDKuHZ5B0nSTyTPXiAQDNzc1QFAWCINBGP/Xi0tTUREN+Nputrlx4nkcmk6H65vVKZSMNdVKpFJLJJN3v9AbRLCfFx6Tmgyhs6AVJkrC2tkbVRpxOJx0TvdeKxWKhRaX5fJ5Gg2rRUvmT0NHRQQvViewnKZLWkwvLsnjhhRfAsiwikQjsdjuKxSJVztGTiyiKOHXqFHiep/UNpVKJctETDQ0NOHLkCGKxGO0fQepi9OLCMAzNQBgfH69IryDnYS2gS1kky7Lo6upCKpUCy7IoFApYXV3V46MfAml9Kssy7Wo0PT2tOw9BEJBOp5HNZuFwOLCysoKxsTHdeRAuoVAITU1N8Pl8OHfuHCYmJurCxWKx0ILFpqamuip7CIKAtbU1qKoKr9eLSCRCm+LUQ1WDVHf7fD6k02mqxasXF4ZhkMvlMDk5CUVR0NLSgkgkUpfDjGEYJBIJzM7OolAowGKxwGKx0ANNTy4kHWh+fh7pdBqZTAZmsxmZTEb3g1WSJMzPz2Nubg6hUAirq6uQJKkuEmsOhwPBYJAqE0xPT9PmQ3peNMllbnZ2loaJb9++Tc8jvYz2UqmEBw8e4M6dO2htbcW9e/dw69YtxGIxXT6/HPl8HleuXEF7ezvi8TjefvttzM7O1sVAzuVyGB8fh91ux/vvv4/JyUnafEhPEOm9q1ev4v3338edO3fqmmq4sLCAc+fO4X//93+r3hZ9q1yuXbuGmZmZhwoF9RQ2EEUR7777Ls6cOaPbO6uLgWw2m2G1WgGAthVeW1uDzWaDLMu6KjcQAXDS7npxcZHmx5EOWXpAkiS89dZbeP3115HJZLCysgJZlulNUU+vj6qq+N73voc/+ZM/AQCsrq7S6nM9D3jSevonP/kJXnrpJXi9XtpARW8uDMMgm83iX//1X3Hy5En4fD5MTU1BEATwPK/rmmVZFrIs4x//8R9x7NgxeL1ehEIhsCyLWCym2y2eSEJ973vfg8/nQ6FQoPmC0WhUV+8gx3GIRCL4p3/6J+RyOYyOjoLjONjtdtrtUC+QNrB///d/j+npaVpdTd5lPcGyLM6fP49kMomRkRHMzMzUxUNJtI9/+tOf4saNG/jwww8RDAbrkputqirS6TS+//3vo6enB2fOnMHKyoruXIrFIsbGxvDHf/zHGBwcxLVr1xAOh+tigGWzWbzxxht444034PF48ODBA90vUASTk5P47ne/i2AwiEKhUBfjGFhfJ7/4xS/wq1/9qiYNsraCQqGAv/u7v6NKMNXGVpw8iUQCf/u3f1thpNeDx+LiIv7t3/4NsixXlcPHoeYGMsMwkCQJPp+PNoKIRqO01bHeIZTGxkZ0dHQgl8shEolQUX09uXAch6amJhw5cgSqqiIWi9GGKXpr/oqiiNbWVrz88suwWq3QNI22FtZ7fiRJwsDAAF566SUapg6Hw8jn87p74kwmE/r6+vDiiy/SFtjxeByyLOtu9IiiCJ/Ph4MHDyKRSND229Xq/Pi4IIVFNpsNo6OjWFxcpM1U9A6dm81mKlM1MTGBYDBIQ+Z6H2yCINA23IFAAKlUqm7enmKxCFmWMTs7Sy+69Ur1SCQSVCUhEonUTdtW0zQEg0HEYjGMj4/XzfjRNA3hcBjhcJi2tK/X3BCZOU3TsLCwUNcWxsViEdPT03UrsiXQNA2yLFNJwHqiVCohFovVLLVwK+uO6MzXm0c9Isk1N5DJgXX27FmaMxgOh2mVKsuydBHUerMgXG7evAlVVREKhaBpGsxmM5LJZE0/eyMPSZIQCoVgtVoRCARo5XmtFuKjQDRBS6USAoEAbfPJcZzum3c+n4fJZEIymcTy8jLdNOuBYrEIQRAQDAYxOzuLQCCg2zrdCNLsYXx8HLOzs8hkMjR/Xk8Q787NmzexsrICAHXR7iapHqFQCGfPnkUkEqHV93q/P0R9Zn5+Hmtra1R+j+jt6s1FlmXk83kEg0HafrpehgfJb43FYtA0rS5d48q5lHvi6sVlo1FMImN6gXjsiNxdOReO43Tdb8u5bBwXvdPYyrnUG+Xfvd586tVdcbfwYLbyoQzDbIshwzBUjolhGASDQeoBe5zP1zTtoWvUdrmwLIvOzk54PB6a6kEahTwONnLZLg+O4zA4OAibzYaVlRWEQiFks9nH3qCqOSYcx1HJueXlZYRCoS01Tqk2lwMHDiCTyWBtbQ2ZTGZLXvVqr5XW1lZkMhnIsrzlZjLV5EK6GZFCja1696u1boH1Q50cJtswMm5qmna0WlzKPSxb3UCrOT87hcHl08dlt/AwuBhcPq1cdguPR2GrBvIagPntktomOjRNe6g7w27hslt4GFwMLlvhUiceu4nLrp4fg8vu57JbeBhcDC6fVi67hcejsCUD2YABAwYMGDBgwICB/99hNAoxYMCAAQMGDBgwYKAMhoFswIABAwYMGDBgwEAZDAPZgAEDBgwYMGDAgIEyGAayAQMGDBgwYMCAAQNl2JIO8m6S5NgtXHYLD4OLwWUrXOrFA0B4k0rmXTEmBheDy1a47BYeBheDy6eVy27h8SgYHmQDBgzoiXpIyxkwYGATMAxTs25tBv5vQe919KjPqyYPw0A2YMCAAQM1w24ywMo7t9YTHMftCh6apsFqtYLna95U97HA8/yumSPCYzdxAep/qSGdQskvwk0vyWDyuZIkVayXWnS63R1vhQEDBj4VqFe77c3Asuv3+93QllUQBLAsS9s616ulMgDY7XaYTCZkMhkUi0XdW16Xo62tDQ0NDYhEIojFYsjn8/VpGcsw6O/vh9/vh6IoGBsbQygU2lKXzmqhtbUV/f39aG9vx8jICMbGxmiXTr25NDU14cknn8Tzzz+PK1eu4OzZs0in03UZF0mS0NLSgi9/+csQBAFvvvkmpqenUSgUdG+BzbIszGYzhoaGMDg4iHA4jOvXryMQCCCfz+vKBVi/UDU2NqK/vx/79u3DxMQEbt68iVQqpRsXYojyPA+LxYKuri48++yzCIfDeP/99xEOh3VZM+Qyx7IsOI6D2+3GwMAAAGBkZATRaLRqPHQzkHdLT29gfWDreYARcByn64u/GcgLSA738j/Xe76IwcMwTMUGrTcXsgmQz9w4R3pzMZvNUFUVpVKJrlu9jUKGYdDQ0ABFUZDNZikPMjZ6j0lLSwsAIJ1Oo1gs0vHR28hgGAZ+vx92ux3JZBLpdBr5fB6FQuGhudIDvb296O3tRSqVwtzcHFKpFGRZrss8dXR04HOf+xycTieuXbsGhmEQDodRLBbrwuX06dPo6elBJBKBIAi4cuUK0um0rlwcDge6u7vx8ssv49ChQzh48CB+8IMfYGZmRpfPL4ckSXA4HHjqqadw6tQpHD9+HLFYDBcuXACg777L8zx4nkdvby9ee+01tLe3o7W1Fd/97nehaVpdPJQulwsvvfQSXnvtNUQiEXzjG98AoL/9wDAMTCYT2tvb8ZWvfAXPPPMMfvjDH+L+/fuQZbmCSy3HiDxbEATYbDbs378fv//7v4+pqSlcv34dsVis4qysFZdisVhhr9hsNnzxi1+E3+/Hv/zLvyCVStE9Zqc8amYg8zxf4fa2Wq3I5/NQFAWCIEBRFOTzeV0WmiAIFSEkwqVUKkEQBJRKJeRyuZpyYRgGoijCarWiUChU8CgWixAEAcViEblcruZGM8uyEEURTqcTiqJAURRIkoRCoUC55PN55HK5mnqfyPoQBAEul4uOgSiKlAvP88hms8hmszX3hBEuHo8HDoeDzhPxwrEsi2QyqQsXYH3dtrW1wePx0DEoN7qi0ShyuVzFZlArHn19fejt7UU8HkcoFAKwvo5yuRzW1tZ04QGs7yt79+7FU089hWg0iuXlZYiiiFwuh3Q6jdXVVbp2an2gchwHv9+Pp59+GhzHYXV1FYqiQJZlxGIxLC8vo1gs6sKFZVl4vV488cQTaGtrQywWg9vtRjQaRSAQwMrKChRF0YULwzCwWCzweDzYs2cP3G43isUirFYrJicnEQgEoKoq9bbXGmazGY2Njdi3bx/27duHubk5LC4uYmZmBtlsFpqm6eL1F0URFosFhw8fxmc/+1k6RjabDSzLPvJCXguQFA/ifZMkCRaLBYqibOo0qeWaIQ4RURRx4MABeL1eWK1WxGIx+m/I2VBrLgCgqip4nkdzczMGBgbQ2NiIhYUF+u4IgkDPhlrzIZcDs9mM/v5+PPPMM3C5XFBVFYVCAaIoUo92rcel3GHldDrxhS98AX6/H/Pz88jlcpAkCdlsFgBq/i4RBxpZMy+//DJEUYTJZILZbK5Yt3UzkFmWhSRJ8Pl84DgOALCysgKHw4HGxkYA69a9JEloampCJpMBAHg8HoyPjz90A9rJF2FZFiaTCc3NzdQTubq6isbGRrS1tUFRFJhMJlitVjQ3N9NF5XA48ODBA9y7dw+ZTGbHXMhi9nq9dEyCwSAaGxvR29sLSZJQKpVgMpng8XigaRodx7t372JkZKQqPMiYkMNBFEUAQCQSQXNzM5qbm+H1eqmnVJIkerCZTCYMDw/j9u3bNNxWLS42mw2CIAAASqUSWltbqUeQeChFUYQgCLDb7RBFEdeuXcPw8DBSqVTVuEiSBLPZXJEy0NLSAp7n0draiqamJho2lyQJdrsdLMvi4sWLVediMpkgCAJ9jqqqcLvdaGxsxNDQEFwuF/L5PERRhCiKdIM8c+YMbt++jWQyuWMu5NJUflBrmga73Q6n04kjR45g7969KJVKSKfTkCQJTqcTqVQKZ8+exYMHD6o2JuSiQg5OAofDgebmZpw+fRoDAwNQVRULCwsQRREcxyEQCOD8+fOYnp5+yPjayftMLtflzzObzfB4PHj11Vfx3HPPwWKx4N69e/RiOTk5CUVREAgEqsqF7Cnl48zzPOx2O15++WWcOnUKfr8fc3NzCAaDWFhYoO9xPB5/yPu1Ey5kny1/Hhmvvr4+PPPMM/j85z8PhmFgt9uRy+UQCAQgSRJkWab/fqdcAGw6LuT5DocDbrcb+/btQ3NzMywWC8bGxmCxWCqMnWpw+bi0H47jIAgCDh8+DJ/PB6/Xi0gkAr/fj6mpKepAKs813Ymhsdn8lENVVTQ3N+PAgQPYs2cPUqkU3G43JEl6yHm1U6/px6Vmlf/ZsWPHKBdyLsmyXOGQqCUXAkVR0NPTgxMnTkCSJOq1BFDhCNgYea0FF3KZfO6557Bnzx6EQiHcu3cPhUKhImVpp1weB5qmIZ1Oo7GxEZ/73OdQLBZx9uxZxGKxCicjx3E1dyLl83lYLBb82Z/9GZxOJ958802Mjo5W2E8bLzNbhVGkZ8CAAQMGDBgwYMBAGXbkQfZ6vfj617+OoaEh7N27FwBw5coVPP3003C73RAEAcPDw/D7/eB5Hi6XC6lUCtFoFHfv3sVPf/pTDA8PU7f8TjwITqcTX/7ylzE0NITOzk7K5dSpU/B4PFBVFRcvXkRXVxfsdjuam5shyzKi0Shu3LiB//qv/8Lt27eRy+V2xMVms1EPV1tbGwDglTnxXgAAIABJREFU0qVLOHnyJPbv3w+TyYTx8XFYrVbYbDa0tLRAURREo1FcunQJ2WwW9+/fr0ohgCRJeO6559DZ2UlzNkdHR/GZz3wGfX19aGxspLcrRVFgt9shSRLi8TiampoQi8UwPj6+oxsYgSiK2L9/P1wuFx0XnucxODgIh8MBv98Ps9kMTdOQSCRgsVjgdruRSCQgSRJWVlYqboY7Ac/z8Pv9EEWRrhWv14v9+/fDbrfD7/fTClniLfV6vUilUiiVSpifn68aF1J8wfM82tvbAaxHWA4ePIje3l709/ejVCqB4zi6JjweDzKZDBKJBKanp6tSqMGyLKxWK1iWpfPj9XrhdrvR3t6Oo0ePoqOjAwzDYHFxEaIoYs+ePTSVoFo8gPUxEUURmqbB6XQCADo7O9HR0YHu7m7s27cPnZ2dUFUVsizDZrNh3759WFpawtjYGObnK5Xkdurh53keqqrCZDIBANxuN7xeLw4cOID9+/dj//79yOVyGBsbgyRJGBwchMViwd27d2nuZDXCn6QohUSdANBoy549e2gRjyRJNA9PEAREIhGMj4/TsagGF+LNVlWVciG/W61WaJqGoaEhOJ1O6sV1OByw2WwV3tVqjQsZ53LvKxmndDoNk8kEjuNgNpsBgKZvlXvwyr3OO+VBUP7/hUKBvu+SJEEURciyDJ7nqZeS5NHvFCR97VHPUhQFHMfB6/XCbrfTdWKxWOBwOBAOh6sWJv8kLgBo6gKJ4i0vL9Po0MY8Wz1A1D0sFgsymQzu3LlDPfzlXPTipWka9u3bB1EU8eGHH9JzuZr5x4+b561pGtra2tDY2Ijf/e53+PDDD+nYEOg1LhzHoa+vD+Pj4/j5z3+OdDpdwYNEZLY7Nts2kBmGwYsvvoivfe1raGtroyEuRVHQ2dkJWZbpIV4sFqEoCg4fPgyHwwGfzwez2Yzr169jeHi4KhM7ODiIU6dOoaenhz7v8OHD8Pv9UFUV0WgUyWQSk5OTNBdYkiR0dHQgk8mgubkZwM4XWVtbG55++mns27ePGjR9fX04ePAgnE4n1tbWMD8/j3w+D57n8cwzz8Dj8cDr9aKrqwsNDQ07+vxyuN1u9Pb2Yu/evXTR9Pb2YmhoCCaTCYlEAgsLC8jn80in0zhw4AA6OzvhdDrR2toKi8VStbwmm80Gr9eLtrY2WK1WAOuGXn9/P2RZRjAYRDabpWHYvXv3wuVywWazUQOyWpAkCTabDW63GzabDQDg9/uxb98+AOsv99TUFNLpNEKhEA4dOgSPxwOz2UwP2God7oIgQBAEuN1uWCwWAOvz1tfXh+7ubhSLRczMzCCTySAcDuPAgQPweDyQJAkAqpaXR4pkzGYzfbYoivD5fDQPb21tDaFQCKOjo+jt7UVHRweViKpmfiDHcWBZFoIgUC4kR5EYF9FoFLOzs7h58yadO5vNRrlU0/gCPhofYN3QSafT0DQNLpcLmqZhZGQEV65cQWNjI/bs2QOLxVL1MGN5bmh5vqqqqsjlcvB4PLDb7YjH4wgEAlhaWkJLSwtdV9VUJthokJY/P5vNQlEUtLe30/HhOA5Wq5Vegqt5gG52AJLnk/A0SSlzOBzI5/N0bW32szsZo497FkmH8fl89OIQjUYxMTEBWZYfyuHfaZrSJ70DLMuip6cHbrcbLMtibW0Ns7OzyGQyVS9M/qSfJ2l2nZ2dYFkWkUgEk5OTdC1VC497+RFFkV424/E4RkZGKtINq4nHGRuHw4He3l4AwJ07dyrS6h73OTvlQcCyLP7gD/4AoihicXER8Xj8IUNUr4LKl19+GQ0NDUin01haWnooZ36n87Vtq4PneZqnqSgKzTlua2uDKIpYWFjA7Owsrl27hnQ6TQ+Lw4cPw+PxoLm5GXv37oXFYqGHSKlU2tbLQLxfoVAIdrsde/bsAbAuYaNpGkKhEO7fv4/Lly+jUCjAbDaD4zgcOXIEbrcbLS0t8Pv9MJlMdJPaTgEJ8fA8ePAAoiiiu7ubjonVakUmk8Hw8DDeeust5HI5mhf80ksvoampCR6PBy6XCzzP0zHZbvEIwzBQFAU3b96EqqoYGhoCAJhMJlgsFiQSCdy7dw/vvfceldHJZrPw+/1wuVx0jMqVNnZywJZKJYyOjtKLEkE2m0U4HMbc3Bxu3LhBCxVLpRIOHTpEC7BIDlg18gQVRcHy8jJ4nofH4wEApFIpxONxFItFxGIxvPPOO5BlmeZ47d+/H6qqIhAIIJvNVuRg7sQYU1UVyWSS5hUDQDKZhCzLCIVCiMfj+MUvfoFYLEbzf/v6+pDNZjExMUEjHjsdF03TkM/n4XQ66dpTFAVNTU2w2+1Ip9P42c9+huXlZaTTaeRyOXzmM5+h+baFQuEhfc7tjgkZT4vFQt8RlmXR2NhIjb2zZ8/i9u3biMViYFkWLMuiVCpheXkZpVKpalyA9bG1Wq30eRaLBS0tLbDb7YhGozh79izOnTtHCwaJZzKRSGzqldwpF2JkEi5msxk+nw+JRALj4+NYXl7GysoKUqkUWltbaYHTRoN2J1zI+JpMJvoMkkdPag1UVUU+nwfDMEilUvTflz9jI3aS+1u+bxLvtiAIMJlM9KwRBAHJZJJGO8g7vBmfrXIpl+QiPMqNBoZh0N7eTi9PoVAIw8PDFQd7NXiUP6ecy8bnmM1m2O12AEAsFsPi4iIWFxc/1pO+HS7lF7tHXRhZloXT6YQkSUgkEpiZmUEoFKrw8m985k7z5z/u8mo2mzE4OIhkMom7d+9icXFx09zs8u+3nfVCuHyc3cOyLE6cOIF8Po+ZmRlMT0/TAv9qciG/f5K90d3djdbWVgwPD+PWrVuwWq3Uc1s+Vzvl8kk/19TUhG984xu4ceMGLl68SB0rqqo+tGa2u/9u20AulUq4efMm4vE4ent78eKLLwJYL9ILBoMYHR2tKNxxOp347W9/S41pq9UKr9eL/v5+jIyMAMC2q+AVRcHs7Cx++MMfoqurC6dOnQIAxONxXLp0CSsrK7h58yYSiQQNcY2MjKCtrQ0+nw8ejwddXV3o6OjA5OQkANAikq2AeKrfffddjI+P0zFRFAXpdBqJRAJvvfUWVlZWAAAulwvhcBi5XA4Mw6C5uRktLS1obm7G8vIyAGw71ULTNMiyjPHxcaTTabpA7HY78vk8UqkUzpw5Q+WFiKIFsH7Qtba2wm63w+FwIBqN0u+3XRSLRUQiEczMzFAvudPpRKFQQKFQwJUrVzA1NQVN0+BwOGi6B+FCKsDJwbYTz5yqqtQ7TC52xKiyWCxUm1RRFFgsFni9XrhcLmQyGerNNplMVavYzeVyiEaj1PhTFAW3b99Gc3MzZmdnMTExgWw2C0mS0N7ejpaWFqysrMDpdILn+YpK5u16WxiGoeuCFFFGo1GqK7m2tobR0VFEIhFwHIeenh50dXVhcnKSHvgkFWGnY8IwDIrFIvL5PI1MhcNhBAIBCIKAtbU1TE1N0feov78f3d3diMViVDiepCJUgwtReiFciL5wJBLB3NwcNTxdLhdN8ZqYmKBKARsvmTvhQi6pxLAjF+1AIIC7d+/C7XbDbrejoaEBe/bsgc/nw4ULFzY9jKvhcSLeYQA0FYt4aMfHx9Ha2kq9pqVSCRcvXqz4PtXyOBEuZFzI/kA4zc3NIZvNwmQyUWm+S5cu0bGotveL7LflRYPEu07Wdy6XgyAI1AlC1lG1x+TjODY1NYHjOGSzWSQSCSSTSeRyuYe47ITPZs/ajEtHRwckSYKqqlhbW0MgEEAmk6kqF/Kzn/Qeut1u9Pf3QxRFrK6uYmxsrKIIeePztsvjcX5eFEV87Wtfg9frpZGq8st3+YVmp1w+CSzL4qtf/SoOHz6My5cv480330QsFnskl+2kKz0ul9OnT+PkyZO4evUqfvSjH2Ftbe2htVLOYztjs6O49dLSEt2A4vE4AGBiYgKati5BFQqFaHWjJEno6upCX18fDekD6/qUY2NjAHZ2eCQSCZRKJdhsNvzud78DACwvL4NlWaRSKYTDYSpUHwqF4HA4cODAAQwODlKvss/nw+zsLIDtL3ricYxGo7h27RqAdY8gx3FIp9M01YNIUcViMYRCIXR0dCCfz9ObdCAQ2BEPYN1Y0rT1nF5yCSGh60KhgGAwSEN7RNotFovRHNdisfiQ0sN2QTalVCqFqakpAOu39Pn5eaiqikgkgkKhgFKpBIfDAZ7nEY1G4XK5EAgEkMvlqppmoWnr1bgLCwsA1j1xyWQSPM8jGAxSA83lcsFisSAWiyGTyWB6ehqyLO9oM9qMSyqVQjAYBLCejjI/P49IJIJkMglN01AsFtHY2IiGhgbEYjGsra1hdXWVVg7v1Egn30WWZeq1Jf8fi8Xo+6UoCrxeLzo7O5FIJBAIBBCLxaqa1kDyWsk4A+sXLJKPrmka1tbWoKoquru7MTAwQFMuSLivmlwYhoEsy/TiQNDf3w+bzYZbt27R5g+HDh1COBzG7OwszZ2sNpdsNluhrOFyudDb2wuv14uxsTG88sorNHo1NjaGQCBAG1FUC4RL+XupKArMZjMaGhrQ2dmJ2dlZ/N7v/R6sVis4jsP4+DgikUjVq9sJl0KhUBHVIXtdY2Mj9SQTRQ1ZlivGpRrvc/nlsHzPJBcTk8mErq4uOBwOaNq6RJWiKFTKEqie9jDh8KgLM0lp2Lt3L40eLS4uolQqbTo/O937P+nnzWYzXnjhBfA8j2QyiZGRkQr97mpy+aRncByH559/nsprnjt3DqlUquIyVS08znc5fPgwTpw4AU3T8PbbbyORSNC1tjFSVms+Xq8X3/nOd8BxHN555x3EYrGP5VKrVAuz2Yy/+Zu/gSAI+OCDDyqalFQzUrZti0PTNCwvLyMSiVDPKfDRzZ1o4hERf+AjUX8SGpicnEQwGKxKQVo4HEYikQCwbqQDH4WYLBYLNb40bT0PbG1traKz09zcHDXSdgLipWYYhurFkjxTm80GRVHoGJnNZgSDQYRCIVo0EgwGaah/p8hkMvTAIJ5Xi8UCSZLQ2NhIjVaO42h+dCgUQldXFw2bbJaPth0QLzkA6qW32Wyw2WxoamoCABoSbW5uRjwex9raGvXWZjKZqmlEl+tGEgPZarUilUqho6ODht9MJhP27NmDYrGItbU1JBIJ5PN5qkdcjZefhKA1TaOXIovFgnw+j3379lGDSJIk9PX1wWw2IxaLYWpqil4+yXfZCUiKBElJItzsdjt8Ph9MJhNkWYbFYsHRo0fR3NyMVCqF+/fvY3V1teJ77BTl6UXkPbBarYhEItA0jV4unU4njh8/jra2NuTzeYyMjFBjvZpcyLMIL1LQFI/HwXEcisUi1Uxtbm7G6uoqxsfHkUwmK35+pyjP8ytPJUin00ilUvD5fGCY9YYubrcbHMdhfn4ei4uL1NiopgEGrF+4y/dMUqzjdrtpyJxcMgVBoJ3IyCWoGlyIAbbRICTvKEldA1CRM0/SlqplID/Kw0meb7FY4HQ6YTKZYLfbaZpFeWFRNfPEP+45LMvCYrHAZrPRNMfJyUnqPX6cZ1QTkiRhz549sNlskGUZd+7cqVqzh61CEAQcPXoUdrsdi4uLFZEGvblwHIcTJ07AZrNhaWkJ7733nm6NQTbDwMAAnE4nlpeX8cYbb9SNS3NzM1wuFxYWFvAf//EfVc/HJtiRS65YLILjOCwvL9OUBJvNBlEUIUkSIpEIvTmTynRymJEKzLW1Nfo8kje2nS9HGjmQAxJYD+ETzwEJDRMuRFg/k8kgk8kgmUxSIx/4qBBmq1zIxk+KeID1VAry2dFotKL4SFEUOBwO6uXO5XJULxrYWWtf4kUgxgsAmgPIsiyKxSLdrIkHhhTvkRtZ+eG3Uy7kM8svUWTjKRaLNJ3BZDLRMC0J72/sOriTA41wKc95J5+Zz+chyzKsVit8Ph/sdjtUVYXdbsfy8jJSqVRVuZDDkxhSAGjjmlQqhUQiAbPZjK6uLjQ1NYFlWaqLLMty1bo6Ef7kPSL/TdZlJBKBJEno7+9HZ2cnRFFEQ0MDXSPV9mJsNHYYhkEmk8HMzAySySRsNhsOHDiAffv2wel0Us3sWjUrKVdrIM2FJiYmUCwWYbPZaPGmKIrweDwV+bC15EK0sdPpNMbHx3HgwAEkk0kkEgm4XC6aY0q86tWcJ6DSWyMIAqxWK0wmE5aXl3HgwAGkUinY7Xb6rhEe5GdrBXLemEwmJJNJFItFRKNRNDY2IpfLVUQaaoHynE5y3pBLdzqdhtfrpcXJehkW5fnWwLoyDHnH4vE4IpGILjyAh8+S9vZ2OBwOsCyL1dVVhMNh3bhsRHNzM/r7+8GyLGZnZytsFL3hdDrx7LPPgud5jI+P0yhjPWCxWPBHf/RHkCQJw8PDNMVNbwiCgO985zuw2Wz49a9/TZ1ctcCODGTi4QmHwzQPLZfLUUOQhLzKK61dLhecTicymQyVmCE/u5NQJPGqkDA5sN4Uw2QyIRaL0UOcFHwVCgW0tLRAkiTEYjG6ue+08ErTNFrwRnhEo1Fks1nE4/EKHuSS0NraSj3umrZe5FK+me00pES80wCo1zyTydD5iUQiUBQFNpsNra2tMJvN1EtKPIfAzjs8kTkiXEjYnuQhsyxLCzNIowxZlmm+VTVybcu5kPAmAJpfNj8/j0KhQFM8vF4vOjo6YDabadc4wqW8mG2nXIgnHwBNLZifn6fpL4lEAjzPo6urizbICIVC0DSNFsoCO8+HLl9rpFK6VCrRCwzx3La3tyMWi+Hy5cuIRqPU+1+NHOTNuJD5IfNPcsdJE4jZ2VlcvnwZsixD0zR62d74nJ3yANYLS0OhEL14tra2olAo0L1tZGQEDx48oGkn5fnQ1eZC0qJIIxmLxYJsNgu73Q6LxYI7d+7QdQJUhkGr5b0lzyNdBEmX1NnZWWSzWbqux8bGKjyU1Spc3IwL2WsYhkE6nUYgEKDFnDzP09SuclRzXDbyIkgmk/RCXSwWEQgEdDOQyfiQhiU2mw0mkwmKoiCRSFQ4ZvQCmY/e3l54PB4Ui0UsLCxUNfLyuCBjMzg4iI6ODhQKBdy7d0+XrqmbcWEYBocOHcLg4CDy+Tx+97vfVUVydbt8Dh48SIsFf/azn1Ul8r8dHj09PXj11VdRKBTwgx/8gKYn1QI7Turc2BcbAA37AqCd2orFIlKpFA4dOgRJkhAIBCDLMlZXV6kBttNDdbPcw/LcLlJlXSgUIMsyDhw4AEVRaMV3JBKpSttG8j3Kq4dJcQYAWvlNvF39/f3IZDJ0sySpKDvlQbhsLMyJx+P0BSQV8aTAqbe3F4lEAsFgkObGVWuDIBt0ueESj8dp+gfpVkdC6Xv27MHt27dpIWE1W5NvxoWoR5AwNYkE5HI5OJ1OqhBAPGHV5kLmmuRqEwPM6/UCAM2FFUURly9fprlo1QrLbuShKAot2iHa0SaTCU1NTZTj8PAwzeMslUpVHZNy7ziZH3IBlySJFi1KkoRkMom5uTm6zqulJ7uREwAqW0kiLhaLBY2Njejs7ITVakU0Gq3Izau2p7J8johnltQLhMNhtLe30w6VZAzL57RWIO+EoihgWRbRaBRutxtmsxmqut61rbyLXi21Usl7QeQBi8Ui9uzZA0mSwHEcurq6qPYwUDtvdnkOOsMwVPNdFEU4HA60t7djbm6uaqlSm6Hc8CfPN5vNtEiddNGshWTjo1D+bFEUcfDgQZrzS1qR620gEy7Hjx+Hy+VCKBTClStXqpqytRWYTCacPHkSLpcLs7Oz+O1vf1sXYx1YH5fTp0+joaEBt2/fxrlz53TXpgbWvcevv/463G43Ll++jOvXr9d0XqpS9fRxRUJkQlmWhcfjQUdHB30Jiah/NcOij+JSHgomDSpaWloQi8WwsrKC0dFR2ha2VjzIRBIj3GQy4dixY2hoaKASLpOTk9QjVy08akyIwQWsz88TTzxBNQUnJiaopFc1F+BmXMhmmEwmaWvno0ePoqmpCYqiYGpqColEouo3xY1cSJoJw6zrkxIpw/7+frS2tiIUCtFmIdU2NDbjks1mqVc9mUyiv78fbW1tdPN+lHxTNXmQyx3LslhcXEQmk8Hp06epPnU8Hq8wBKsJ4lkvB4m8LC4u4uzZs3jttdeQz+crChprARJxICDGIMlPv337Nl577TUkEgncvn27omlKLQz1jXmipNYjFoshGAxSpZYHDx7QguhaYeN60TSNFiiSi0oqlcLi4mLNuWwca+LNJuF7YD1Ck0wma+p52jg/5OJAzj9gvSZHluWaewU3jgnZbw8fPkwLcol3X28DjETAjh07Rpty3Lx5s6qX7a1wkSQJzzzzDBwOB2RZpio1ehvHwHpKw/PPPw+r1Yp4PF6RAqonGIaB0+nEF7/4RYiiiNHR0W2pfFWDh9frxenTp6GqKn7961/X/N3RpdU08d4ODQ1RKavh4WFcvHiRvqzVzo17FA+GWdc0PXHiBDUQr1+/jgcPHtBbvl5c7HY7BgYGaH7cnTt3sLCwoGvIjXyWzWZDV1cX5TIxMaFr7hU5RIgkIMlVJwoK5VGJWnIgPEhagd1uh8fjQSqVquCoJ5dCoYBsNku9TqFQiB5stV4r5TxyuVxFOH9ubo42W6jVZ2/2Z6qqUv1sElVYWFio0NjVA+XzE4/HqW42qTPQm4uiKHSOMpkMstks0un0Q7mnenAplUqIRCKIRCJIpVKIxWK65riWcykWi0gmk7TGgOTU62n0EB6kyyBJJSiX69ITqqrS7qrpdBrnz5+ne5ze4DiOcgmHwxgeHtZlv98IUkjZ3NwMRVGwsLCAYDBY06jLx6GhoYEqSt24caOmOfMfB5ZlsWfPHpjNZgQCAZw9e7YuHnWe53Hw4EGk02lcuHABb7/9ds0/s+Y7Z/nt2efzIZfLYWFhAefPn6dSTXrd0IhxUyqV0NbWBlmWMTs7iwcPHtDWwXpwKQ/99ff3I5lMYmlpieY16rnwyHdub2/HwYMHEY/HqeFRbWmox+Vy7Ngx9PT0UB4Wi0X3TYp4CJ988km0trZicXGRFqDqfbASb8pTTz2FhoYGjI6Owmaz0dxOPXlomoaBgQFwHIf33nvvkUL+teZCFBn8fj/y+Tw++OADqoFcDy4k3SIajWJmZgaCIOg+LgBoESxpiLGysgJRFHXnQi5UiqLQFIdyjW29uZAxIEXLJK1AbzgcDgDrUcTR0VGag6s3eJ5HQ0MDdRIR3W693x+GWdcPb2xspJKsq6urunIgYFkWBw8ehNvtBrCutkQUffSGJEn4yle+ArfbjUwmg3feeYdK6eqNxsZG/Pmf/znsdjumpqbw/vvvI5PJ6L6n9PT04C//8i9RKBTwox/9CGNjYzUryibQ7W2wWq148cUXcffuXZw7dw5ra2u0iEVvNDU1YWBgAKOjo7hx40bVlAC2AoZh8Oyzz1Id6MnJSbjd7rrk9bAsi29961twuVzUczw4OFi32+q3v/1tSJKE+/fvQ9M0vPDCC7rzANbn6Ktf/SpYlqWdevbv3183Lp///OeRy+Xwn//5n0in07Rlt17QtPXixP379+P+/fv4yU9+QjW+9YamaTTScOvWLVy5cqVCN1lPkIudxWLBzMwM1ZOtx8WBGKYmkwnxeLxuhyrxkmazWdrJj/x3PYx1ou9LGtoQ9SA9uRCd6HKtYZ7n4XK5dB8TjuNo905ZlmmhuNPp1NVI1jSNNrdRVRUrKyu0GZPFYtGdy/79+6nyyW9/+1taC7GxcL7WYBgGTz/9NEqlEq5du4abN29Sp0Ato3abwWKx4MiRI0in0/jP//xPhMNhaqfoefn2eDxoa2vD6Ogold4jNkqtHDW6zTjHcTh06BB8Ph/8fn9dPAnA+kvQ0NCArq4uGsKoBxdN0zA4OAiXy4WGhgaqklAPaJqGoaEhKoFHuszVw0BmGAZ9fX3geR6ZTAbBYFD3cCgBz/PYu3cvBEHA8vJyhZyh3iBSbzzPIxwOI5VK1fz2vBkaGhrg9XqpTGEt8rEfF+3t7dSTToyeelwwVVWF1+uF2WymRXvV1LPdCoj0JsdxkGUZNputLjwA0CgUsN60qbxdt54gtQVkTgKBAD1Q9eRDNLOJ95pcOPXmAax7sk0mE22mUt7WXW/09fVRBanl5eUKTXY9wTAMuru7YbPZwDAMJicn6dzonYfMsixVGVleXkY8HqcqLPUoFiTRhbt379KiRZZldZsnhmHg8XhQKBRoTwLyubVSnwF0NJANGDBgwIABAwYMGPg0QLfkp4aGBgiCALvdjpaWFnR2dlZoleoF4qEE1kMH5NdGqTo9ePj9fqp/S8T965X8bjabqVzU2NgYxsfH68KFpA2USiVEo1E8ePAAExMTdeFCctHy+TwWFhYQCASoRJ7eXLxeL1UmINKIekshMcx6e9pisUhz9uvlKWVZFn6/H9lsFoqi7KjJ0E7B8zza29sr1GnqUVBDvIF2u512wTSZTHUZF6KzyzAMYrEYzSuth4efNCRKp9MQBAGTk5O0a6qe42K1WrG8vExzs2VZpt1mgeq1mf4kELm5RCIBp9OJQqFAixj1TnvkeR5tbW20qDQcDiOdTutamwR8VKDX2dmJYrGIubk5mq9OIlN6cWFZFm1tbfB4PMjlcpifnwfHcbQ+SU8ugiDg8OHDMJlMGB0dpQ1cqql3/ziwWCx47rnnwDAMrl69WqG2QupjagFdDGTyQs7Pz6O7u5s2hygPX+gFwoV0Z8tms1Q+RU8uJBcvkUjAZDIhHA7TVsN6g7Q2lmUZDocDq6urdeuS09zcTDvJuVwurK2t1Y1LS0sLCoUCcrkcrFYrNQz1BtFlTqfTiEQisNlskCRJd6F20p42Go0in8+joaEBmUwGsizXRHf440CakqyurtJwJGlwo7dxarfbkcvlEAgEkM1mkcvlaPMWPQ8zcoFJJpOYnZ1FKBSi47Ox+2OtwbIsenp6kEhepi/TAAAgAElEQVQkMDk5icnJSczOztJmDHrKiXEcB7fbjdXVVSSTSVrzQXLW9Zyf2dlZTE5OQtM03LlzB1NTU7RBlJ5rtlQqYXR0FAzDYHh4GJcuXUIoFNI9XYphGKyurmJ4eBjBYBC/+c1vEAwGdU8f0zQNPM9jYWEBN27cwE9+8hOMj4/XpRkGUdOamppCLpfDlStXaOMu8vd6cgGADz/8EG+99RZisdhDEoZ6gNgEv/zlLzE8PKybYa6LgcxxHJqbm2Gz2ZDL5ZDL5bCysgKn00kbIgD6DLYoiigUCrQKMxaLIRaLwWw2I5/P10RbdjNYLBbcu3cPTz75JJLJJBYXFyHLMm1jq9dGRWTv3nvvPZjNZqq3SLrJ6ZnXSdooX7t2DQMDA8hms0gkEigUCvSA1+uFJHmtFy9ehN/vB8/zSKfTtNBHby6KouDdd9+lhiCJPOgZ+eB5HhzH4dKlS1hdXaUt01mWRTKZ1PVwJcVO165dw+XLl5FOp8HzPKxWq+5yVVarFdPT0/if//kfvPvuu1hcXKRdGvU8YEmh4Pnz5zE8PIwPPvgA8/PzdckRJ5JzpOPWhx9+SA9Xvb3ZpGPdP//zP0NRFFy6dKkudQ1Enurs2bNwu90YGRmhnR/1hKZpmJ+fxz/8wz9Qj2C91omqqvjNb36DixcvIhAIVBQw6o1MJoO//uu/Rj6fr6mm+idB0zSsrKzgT//0T6msZr1QKpVw6dIlnDlzpqL5UbXwuBfUfD6Pf//3f8fKyoqudUC6GcgDAwMQBAGyLGNpaQmJRIJ2pNLzBm+1WnH06FEA6y2gZ2dnUSgUdPX2kLDSsWPHkMvlsLS0hIWFBcpBzzCkKIoYGBjAE088QRsNkI1Kb0+c2WzG0NAQTYGRZRnRaFT3dUK4HDlyBF1dXUin0wiHw0gkEjTkprcBNjg4CKvVirm5OQSDQaRSKbpu9YLT6URnZycSiQSuXbuG1dVV2i5c78PV5XLB5XJRjw/pgklCkHqBNB4iYdmZmZkKyUi9EQ6HadFKMBjUPY2AQNM03L17lzok9L5AlUNRFFy9epXK8dXDKAXWjY2xsTG6f9RL15Y0Ibp16xZ9d+uR+gJ81E01mUzWTdWKgDT9qUcK3Uak0+mKZkP1BOlsWAt83DhvLL6bnp7WP/1Ulw/heciyTK3/kZERJJNJ2ga5llWIGyEIAqLRKKanpxEKhejk67lBkHBOMBikWszES6r3AiDthGdnZxEIBDAzM0PnhXDVC/l8HlNTU7h79y5yuRzGxsZouElv5PN5jI2N4fz58zT/mEDvlKB8Po8HDx7Q5gKZTEb3tcKyLDKZDK5evYq7d+9SKbPy1rR6geM4RKNRvPPOO1BVFaFQiObf6ultIekCgUAAZ86cgaqqyGQy4HmealfreflnGAYrKytYWVmh2vN6RzsIF03THtK5r5ecpqIoiEQidBzKW3DrxQH4yKte/rl6p758HBe954esk82cU/VIvay3UUzAMEzdLiwbsVu41Gt+mK18KMMw22LIMAzcbjeampqgqirtrvS4TTE0TXvIQtoJF7/fT9M7YrFYRaHEVrlslwfHcVTOjHgnt+IRrOaYcByH3t5eMAyDSCRCvfuPuzaqyYV07dE0DYlEAqlUakuGRrW5EGmZXC635SYu1V63pNiIGD874bJdHgAqjPNtbJ43NU07Wi0u5ZenrW6g1ZyfncLg8unjslt4GFwMLp9WLruFx6OwVQN5DcD8dkltEx2apnl3K5fdwsPgYnDZCpc68dhNXHb1/Bhcdj+X3cLD4GJw+bRy2S08HoUtGcgGDBgwYMCAAQMGDPz/DqNRiAEDBgwYMGDAgAEDZTAMZAMGDBgwYMCAAQMGymAYyAYMGDBgwIABAwYMlGFLMm+7qeJwt3DZLTwMLgaXrXCpFw8A4U0KNXbFmBhcDC5b4bJbeBhcDC6fVi67hcejYHiQDRgwoCfqoZxhwIABAwYMbAmGgWzAgAEDBgz8HwRpMFNv7AYOBJ/E5dPEtRaf96jP1JMLadK0GZ9q8tClk54BAwYMGPi/CT07pX4SWJalnf3qCdJsp95cNE2DKIrQNA2lUqluXMjnkg6uwLaaEFWVy2aGVr3mi6xbwol0uNO72yAAiKJY0VhNby6Ex2aNs6o9P4aBbMCAgcfGbjJ2Nh5g9eTE8zxtawzU73AHALPZDEEQkM1m6eFRDzAMg8bGRtjtdoTDYeTzeZRKJfr3eh/ufr8fTU1NCIfDiMfjSKfTdJ70PNwbGxvR2dmJvr4+zM3NYWRkBIVCAaqq6t7q2W63o7u7Gy+99BIWFhbwzjvv0O6lerfA5nkedrsdr7zyCoaGhvDzn/8c9+7dgyzLW+rsWg0uDMNAEAT09fXh5ZdfRiaTwYULFzA/P490Oq0bF2IYsywLh8OB5557DkNDQxgfH8fZs2cRCoV0WzM8z0PTNPA8D5PJhL179+L06dNQVRVvvPEGxsbG6JqpZWto4jlmWRaKosDr9eKZZ56B3W7HlStXMD4+XrF2d8JDNwN5Y8/5evY+53m+YqPWkwv5LLIhlN/EWJbVfYMkv3McRz0IZIPQmwv5xbLsQ/OjNxdi8ACgc1Q+LnpukJIkQdM0KIqCUqlUsYb04sKyLGw2G1RVpYc5+XxiGOo5Jg6HA5qmoVgs0n2l3DjVa70Qg8dkMtGW5Kqq0gNdby5NTU1oaGhAqVRCJBJBqVRCPp+nPPR8jxobG9Hf3w+Px4ORkRHIsoxkMkn3GT3fo6amJhw+fBjd3d1YWFjA6uoqJicnkUwm6bjowcVms6G9vR2f+cxn8IUvfAFra2v44Q9/iJs3b9J/o9ccSZKEhoYG7Nu3D1/60pdgMpnA8zz++7//G8D6mV3OpZbjw/M8RFGE3+/Ht771LRw8eBAHDx7El7/8ZcqlWkbPJ4GcQRaLBV/60pfw7W9/G5qmYWlpCaurq8jn8xXndi25lNsKra2tePXVV3Hy5EmcOXMGw8PDiMfjKBQK9N/Xcu2Qs4dhGJjNZgwODuK1115DsVjEvXv3MDs7i3w+T/99rS5YpVIJLMvSPdZsNuOVV17B0aNH8eMf/xjf//73kc1mAYCem9tFVQzkck8OmVBBEMBxHP1zq9WKfD4PTdNgMplQLBaRyWSqPoibcRFFETzP0xfeZrPRg4xwSafTFUZZLXiYzWbY7Xa6oG02G7LZLBRFgclkQj6fRyqVqiqPjVzI/0uSBJfLhWKxCFVVYbFYUCgUoCgKRFFELpdDKpWq2AiqzYdsRKIowu12U8PCZDLR0IkoivRgLd8IasVFEAQ0NzfTdVH+IvI8j3Q6jUQigUKhUNONkYxLa2sr7HY7fXcURQHPr7+20WgUyWSS/l0tQN6f9vZ2uFwuagQSw71YLCIUCiGdTiOXy1WFx6MurGRf2bNnD5qamlAoFFAoFGCxWAAA2WwWKysryGQy9P2uFRdg/VD3+Xzo6OiAIAgoFAoQRRGKoiCRSGB5eRmyLCOfz9fcG8dxHNxuN3p6euB0OlEqldDZ2QlFURCNRrG0tIRcLodcLldzLizL0r2ura0NXV1daG5uRjgcxvz8PGZnZ1EoFCrGpZbrV5Ik2O127N+/H4ODg+jv78fMzAw4jsPdu3dRKpVQKpVqavQwDAOTyQSHw4HDhw/jhRdeQFNTE1iWRVNTEwRBALA+j+X7XC3GhRhcPM+jpaUFR48ehcPhgNlshiRJNP2D53lq8NTaICVn8ZNPPonW1laIooh0Ok29hZIkUaOn1hcIVVXBcRx8Ph+OHz8Oh8OBeDxOzyWLxYJ0Ok3/rR4GstlsxsDAAI4dOwan0wme55HL5WC1Wh9yENSSC0FDQwNeffVV9Pb2YnV1FZlMBg6HA9FoVBcuZNwFQcDQ0BC++MUvwuFwwOVyUbsGwI7tlx0ZyOUGhSRJAIBQKASn04mWlhYIggC73Q6O42C32+micjgcmJubw+joKDKZDF3wxCjaDsgG5PF4Krg4HA60trbCarXC5XKB53nYbDak02nqFZuZmcHdu3eRTqfpxG43H4vwcLvd9IIQiUTg9XoxODhIDVFioMqyDGD9Nj89PY07d+5UGMk78cyRjaWhoYGOSTQaRVNTE7q7u+F0OiFJEjV2stksRFGEIAiYnJzE7du3kUwm6SLbyWZAPsPhcFAu+XwebW1tsNvt8Hq99GBnWZbODcuyePDgAW7duoVEIlE1LhaLBVarFaIo0ue1tbVBEAS0tbXR+VMUBQ6Hg26OIyMjuHHjBmKxWNW4mM1mmEwmaqyrqoqmpia4XC4MDAzA5XIBWM/9cjgc9OC6desWrl+/jmg0Sg/V7XIh81N+qVVVFS6XC16vF/+PvTf9jfTMzrt/z/PUvi8sLkWyuS+9UFS3Wi1pZiSNPeOZyYwNJMHYCIyJARsJECQfk2/5C+KP/mADBgLYgTOxEYwdZDKZgbWM1JJa3eq92Qt3FrcqFqtY+76+H/jet6rY7FE3q1gtv28dQFCL6nrq4v3cy7nPuc51Xn31VQYGBmTkz2q1YrPZyOVy3Lp1i1u3brUFB3y5hhqdU0VRcLvd+Hw+Ll26xOjoKCaTiUqlgsPhoFarUSgUuHnzJjdu3CAajbYVSyO3TWDp6+vjG9/4BuPj41itVjKZjMSUzWbl+zk4OJBYxPidFItwpBqpAWazGa/Xy+/8zu/wjW98A6/Xy9bWFtVqlWw2SywW48GDBzx8+PCpKFwrWMRFrfGZmqZhsVi4fPkyV65c4e2336ZSqZBMJtnY2MDj8aCqKoFAoGmPbRWLmLdHKRM6nY4zZ84wPz/P9773PRldr1QqBINB9vb2iEQiVKvVJv7rSQ54cck+DgccBkS8Xi/f+973OHfuHIODgzx58oSzZ8/y8OFDYrGYPJdawdGIpXHeNv5b7LHnzp3jjTfeYGxsjL29Pfx+Pz09PcTjcUqlktyTjmb1XtSOjstRE1zoN998k76+PrlePB4PxWKxKTIpsp0nteehidXrdSYmJrhy5Yp0RvP5PIqikM1m5WePRtlPA0utVkNVVX77t3+b/v5+SqUSt2/fJpvNNtGEREb6tB32fD5PT08PV65cAeDatWssLi4Sj8flfNXpdKd+eSgWi1gsFv7dv/t3qKrK9evX+a//9b8SiUTk2SyCfSc+n9sJuGtd61rXuta1rnWta137p24tRZCtVitzc3NcunRJ3iai0SgXL16UUeU7d+7Q19eHXq/HaDSSyWTY2tpiZWUFgKWlJdLpNEBLt0Kz2cz09DSvvPIKly9fBiAcDvPmm28yMTEhCdwism2xWGRKdmVlBVVVefToEYlEoiUsRqORiYkJJicnGRsbAyCbzfLtb3+bCxcuYDQauXPnDm63G6fTKVOz4XBY4hDRBGgtVWEwGDhz5gxDQ0P09/cDkMvleOutt5ibm8PhcFAoFCQdplQqoWkayWSSsbExarUaDx48IJlMArREcdDr9QwPD+N2u/F6vcCX82dkZIT+/n7MZjOApJ04HA7y+TxnzpyhUCjw4MEDOVdaubXrdDoGBwexWq04nU4AvF4v586dY2BggPHxcfR6PYqikE6nsVgsOBwOyuUyfr+fVCrF/fv321KQJVLjZrMZn++wf4bT6WR2dpaJiQnm5uZktCefz8usTL1ep7+/n1gs1hYqjKZp2Gw29Hq9nCt2u52hoSHOnz/Pa6+9hsvlQtM0uUbE2DmdTkKhkPx5q6ZpGgaDAVVV6enpAWB0dBSfz8fw8DCXLl3izJkzWCwWgsEger0et9stP7e6uko0Gm0LFlVVZaTUarUCMDw8zPj4OGNjY5w9e5aJiQkMBgNLS0vodDqGh4dlBOXJkydNWFqJqGiaJrGIiJzNZsPpdDI9Pc3s7CxvvPEGtVqNfD5PvV7HarVSLpeJxWIsLi42RXVawaKqqozaiiiYwDcwMMDg4CDf+c53cLlcJBIJFEVheHgYq9XK+vo6QNuxHPcMo9FILpdjcHAQg8GAzWYDDrOYo6OjPHr0iP39/bZw6MU6hWYlBJEmT6fTGAwGPB4PNpsNs9mMpmn4/X7GxsZIJBJP4ThpfUxjTcdxhVOCDuT3++nv78doNJJOpzGZTPT19RGPx5si/OJZrWARf24cn8Y/W61WRkZG0Ol0RCIRQqEQBoNBRvzbjeWrPt/X14fNZqNcLvPgwQPW1tbI5XJPZZc7UcNkMBi4cuUKJpOJe/fu8f7778t9v13f/SIF2LOzszidTjY2Nvjv//2/c3Bw0ISlUwWeopByfX2dP/uzP2NnZ6fJT2ms2TmJndhBVhSFc+fO8Qd/8AeyEAMOncGJiQlyuRyJRIJoNEoul8NgMDA+Pk5vby8DAwO4XC4ikQiBQIBUKnVSGBKL3+/n3XffZX5+XjoagpOnaRrxeJxIJEI2m8VkMjE9PU1PT4/EEgqFWFlZeWpje1ETRQ/nzp2TmzHA+fPncbvdBINBNjc32dzcxGazMTU1xfDwMD6fD4fDQTAYZGlpqWUccHh4+nw+hoaGJK1BUD08Hg+xWEymOsV4TU9P4/P5MJlMLC4u8vjx47ZgEZQGt9stHeGxsTHm5+dRFIWDgwOy2SylUol4PI7X62V+fh6/30+1WqW/v5+HDx+2ZTMwmUzS0XQ4HABMTk4yNzcnLwqBQIBMJkM0GmVsbIxXXnlF0nUsFkvbNkVBaRF0Fzh8R7Ozs4yMjKCqKltbWySTSSKRCKOjo8zOzuJwOOjt7ZVOSqtY9Hq9rCIX78flcjE1NcX8/Dx2u51IJEIymSQYDNLb24vBYMBut2O1WtvKm9c0DU3TMJlMcg1pmobT6WRiYgKPxyMvt0tLS3g8Hs6fP4/NZqNer1MoFID28CYFB1Jc8OFw0xXcZ+GAPnnyhLt379Lf38/g4KDkrov0XjuwCOfraAGpqKr3+/2YTCZu3brFRx99hNfr5fXXX0en01GtViVXvZ1YRBofkAWcpVJJUoRisRhbW1tyvPR6PfV6XXL428VZF2loYcL5FjSB8fFxPB4PJpNJqjTY7XbpgLUDS6Mz3IgDvpQH6+vrY2xsDLfbDSCpHqFQSFIQT4vHf/S/9Xo9c3Nz9PX1oaoqmUyGYDBIPB5vojS0iqlxXJ71HEVRGBsbY3R0VGJZWloiFos9dfnvRDGlxWJhbm5OUqa2t7ebaHXtwPK8er2qquL1ehkdHUWn07G3t0c0Gn0p4wKHe+Lv//7vYzQaSaVSrK+vPzVfOlVoKrj8u7u7PHr06Km9v1UcJ3aQNU3D5/Ph8XiwWq0MDQ0BhzdTu93Ozs4Ojx8/5ubNmxSLRRl9mZ6eZmhoiDNnzjA3N8fHH38sebjZbPZENyLBtc1ms2SzWc6fPw9Af38/NpuNzc1NVldX+eKLLyiXyzICJ5yQwcFB5ubm+PDDD+UmlclkXhiL4H2FQiF6e3sZHBwEDiNsNpuNWCzGp59+yj/+4z9Sr9ex2WzSYZ+YmGBwcJDZ2Vnsdru8NIjD7yRjIipvrVYr8/PzAAwNDeF0Oslmszx69IgPPviAarWKpmnyu8+fP4/f72dychKLxSIdA3HonGQhlstltra2qNVqXLhwQY6LoijE43ECgYB8P6VSidHRUfr7++nt7aW3t5fh4WGMRqPkYIqCtZNgqVQq7O7uUq/X5UElOKzlcplUKsUHH3xAJpOhVCqxs7PDwMAAHo8Ht9stI6mNzulJ+Va1Wo1YLIbZbJZrpFwuU6lUiEaj7Ozs8Mtf/lLKZJ09e5aBgQF8Ph9ms1k6S0cjVy+KpVarkcvl5IUBvlRFUBSFSCTCP/zDP8iCjPPnz8sxEYV74jON/z7JmIh3a7FY5O9VrVZxu93YbDaKxSIffvghKysrJBIJ5ubmOHv2LPV6nXA4LNdMu2TgRCRWzD1VVeWFplQqcfXqVT7//HPi8TivvvqqnEtra2tPSUK1Mi7CGgtzTCaTnJcHBwd8/PHHvPfee+zu7nL27FkZQdze3n7qHTX+ficxRVGwWCwSi8FgwGQyMTw8TDabZWFhgbW1NZmFOXfuHDqdjlgs1lQR3w4sgkMvLmpibVqtVhwOBzabTSp6hEIhKWPWOFfagUUUtYooluCoCpWGqakpdDodqqoSjUbZ3t7m6tWrRCKRY8ekVQfMYDA0FdqJ56mqKgMziqLIC/j9+/dl9uG48ThpYEBkYhr3p8bnGI1GWRydSqXY398nEAg8laU4aid9R5qmSQfz6DNUVZWBrlwux97eHoFAAKvVysHBwbHPawXLV/G7dTqd5PIHg0E2NjZwOp0cHBw85QCeFMtxGYdn/b2pqSn8fj/b29s8evQIs9ncdFE+ikXY82BqPD++yrl1u9385Cc/YX19nWvXrlEul5+5fhrxvcjYnNhBrlarbG1t8Xd/93eMjY3x+7//+8Bhevzg4IB79+7x4MEDstksFouF3t5ePvzwQ7LZrCx+EkUCIgWZTqdP7GQkEgk+/fRTdnd3paOhKApXr14lEAjw+PFjstksNpsNnU7HZ599JgsDMpkMqVSK2dlZwuGwfOaLYhEE9rW1NUqlkiyu8ng81Go19vb2+PnPf044HMZisWAymbh//74sUCuVSuTzec6ePdvymIjoSSwWY21tTV5gLBYLi4uL0glcWVnBaDTidrvZ2NggEAgwNDSETqfDarUyNTVFPB4HDukZJ92whQMWi8Xkhp1MJgkEAmSzWT7//HOWlpZQVRWXy0UqlSKZTFIoFNDpdLjdbklvAFoi3tfrdakYIjbJRCLB7u4uiqJw+/ZtlpaWqNVqUmJNzFlRhORyuchms/J5rRxkxWKRZDKJx+MBDsd5Z2eHZDLJysoKT548keMgUrSapknn0WKxSOenFbH/YrFIKpWS6yedTrO8vEw6nSYUCrG0tCQPiCtXrsh5IlKggi7UjjEplUpks1nplOp0Ora3t6nX6ySTSRYXFwkGg9TrdVwuF2NjYySTSZkCbSzkaaVYpF6vy0iwsGQySSqVYm9vj1wux71791hbWwMO5cQmJycJBAKy2FZV1aYCzFawVCoVCoWCdBzy+TyappHP5wmHw1SrVUl1mZiYYHZ2VlKTRJRVHDztwFIsFiXto1Qqodfr2dvbw2az0dvbS71ex263MzMzw+zsLL/61a+ktNrRg6wVLNVqlVKpJLGId59MJlFVlY2NDanqYTKZGBoa4saNG8RiMarValuwiM8JRxe+TDU37jPiv4vFIpqmcXBw0PR+WsXR+NmjyhyNkTURpKnVarKwdHNzk1gsdirvp/EZR5+l0+m4cOECVqsVVVXJZrM8ePCAcDgssTR+5jgH/nntqwI9iqJw9uxZZmZmJEXngw8+YGdnp61YBIavGlebzca/+Bf/Ao/Hw8rKCn/7t3/L+vq63FvaieWrPquqKv/yX/5LZmdn2dzc5M/+7M949OiRXEPHYXmRefO8TqyiKHz3u9/le9/7Hpubm/z5n/85gUDg2O9s5WLXEgc5lUoRDofp6enh6tWrAASDQQC2trbY3d3l4OAATdMIh8P09fXJCJyI1lmtVrlht5KmFRqx1WqV+/fvS3yqqhIMBgmHw8RiMXQ6HalUCr/fz8LCAiaTiWQySaVSwW63y+edFIuILFYqFVZXV4EvlQqi0SjxeJxkMkk2m8VgMGC1WllZWcHn80kVDZvN9tQGexIT0UURSYbDiLTYBEVaL5/P43Q6MRqNBINBEomE3KhF2r9VLI38POH8K4pCNBolmUwSDodlJqGnp0dSQIQsVb1eb4pAtJI6EQ6LiNKKn5XLZXK5nJTnqlaruFwuBgcHKZVKVCoVKWcG7UnjiBtvqVSSXG/xHgQ+IYlls9kYHR2VUand3V15mLWr4YG4OMDhuw+FQpKaJOTTrFYrw8PD6PV6KpUK6+vrpFKpJhWaVnCIDa1YLEqHW4xBPB7n4OBApoGdTidTU1Po9XpqtZqUeatUKm3H0rgmM5mMjBSKg9Pv9zM9PQ0cXuDEu2sX11Z8ttEpFfgmJydxuVzcvn2bvr4+RkZGeO211yiVSnKeCEnHdmARjkKjVJugLYyNjTE+Pk44HObb3/62VIXJZDJsb2+TTqef2kvagUX8foCUzrTb7UxPTxOPx/F4PDgcDrxeL0tLSywuLkoVgHZEbcV3C3lI8TNN09Dr9ZJ2oqqqvOSIc/C4GoJ2jEmjs94YKTcYDLI2p1AoUKlU5HnQbixftU8qisLg4CBvvvmmjOwGAgH29/ef0qBvfN5JLzFf9Vmr1cqPfvQj3G631PgNBAJtx3IU03GmaRrf+c53ZI3XwsICy8vLMloq8HQCC8DIyAj//t//e3Q6Hffv3+fx48fSV2r3uPwmczgc/Omf/ikGg4F79+7J7HS7cbTkIO/v75NOpyVZG5C3UUBqC4t0ViqVIpPJoCiHXY1CoRD7+/vyea3wOuPxOJlMBofDwWeffQYg9VFFylM4EjqdTkabRBp5bW1NprlasWQyKfmTCwsLwCGX02QySUcIDh0yq9UqHUAhhRcOh9nf328Lj1JIBhkMBlkU6fP5sFgsknsn+JVutxudTie1MGu1GltbW0Qikaf4RSexfD6PqqoYjUYZbUun07hcLvmeFOVQ73FgYEBiFDItW1tbT4min9QKhYI8JLa2toBDpyOfz+NyueQCs9vtTExMSH69Xq9Hr9ezv79PPp9vC+9WaArrdDpCoRCAvI2LgtJarYbD4WB2dpahoSGpF12pVKQcU6tFEYKrqWmavDSItTIyMiJl7oSTPjw8TK1WI5VKkU6n5YWiHdwz4WCI6JrAkkwm6e/vx263o9Pp8Hq9jI+PS5763t4e4XC4rV3JGtPeYozNZjOpVErOB6vVitFoZGZmht7eXqrVKisrK7KpwPOkC5/HGoutxPM0TSOTyZBOp/F6vTIb1NPTIznZjVzOdmFpdCrFHqUoCoVCQcovlUolPB6P1NB+8uSJdEpF9KsdWI6LTIpIrqqq9PX1yRGjaiYAACAASURBVDXsdrvR6/Xcv3+fzc1N2USlHePSuFc36juL5wqqmKZpstFNIpGQ5047LtzPwnPUbDYbQ0ND2O126Qgevby0u3HVs/CIrKHX65WF459//nlTxrJTjVzg0EGenp6W0o3/9//+X0k76TQWg8HA22+/LaVpf/aznzVRZjqJRVVVvvGNb+ByuYjH4/zN3/zNU50xO4VFBARCoRB/+Zd/2YSjnXP2xA6ySFMbjcam6J/f75dOxt7enoxiihSx1+vF7/fj9Xqx2Wwkk0mpRSuKSU7yC4r0mqgEhsPKd3GYRqNRyWEV2st9fX309/fjcDh49OgR0Wi0qRDmJIdsuVxG0zRyuZx0cj0ej3Q8Bd9UqGioqtrkEAoSfuMBeNJFIGgswmEApCMsKB5CyUFcZITjUyqVSCQSssIbvuTxnJQGo6pqU8TJ5XLJy4HZbMbpdNLT0yMVDIaGhigUChwcHEiVBPHdrWARzTYasYhIDnzZYWpwcFCqIwjaRygUIh6PN23erXDQxLg08t0LhYJsr6ooinQyRLGl2WwmHA5LKk9jxOekl0wR6Wo8qMWlQUS4RJHi0NAQLpcLq9XK6uqqpKY0rpVWLrvic41YKpWKvGDXajXZrndkZASfz4fNZiORSBCPx4/lk57U6vW6bGkqninmcSQSkdGvyclJzpw5IzXXRZaoXTgasTQ6pwaDgXq9LiPnLpeL/v5+efE0m83kcrlTabIjTGAxGo1YLBbq9TqhUIjZ2VlZhAqHc6yxOVQ7D9Oj0TRxcXE4HCSTSex2uzyjhKqHCJq0kq7/KhyCFiUypYKzL1RpNjc3m9Z+ux2MxrUgLuJCtWhkZESeEblcjvX19aY1fBpYGv8szlpFUZiZmcFgMMiaFBHQ6YQdffczMzOSm727u8vdu3c7iqVx3EdGRrh8+TKaprG+vs7169c7huWo+Xw+/uiP/giTycQXX3zBjRs3mv5/p5xji8XCf/yP/xG73c77779/qu+npQiyqIze2dmRTu76+rq8kYqWjOLwtVgsDA8P09fXJ6MeosOdsJN6/yJyLRxhgNXVVdxuN/V6XR704vblcrmYm5tjcHCQcDhMPB6XFevQfPN/ERN8KyGZA0iBfHFRaIz8eTweLl++zODgIJubm3JMGnG04miI6LnAsr29TSaTka1x4UvKw+TkJJcuXcLhcLC8vEwul5MFJe3AUq9/WVUOSCqDkBRSVZVIJILJZOLSpUvygN3a2iKbzbYNi/i84KrCoSSg4HcKBzoSieD1eqUyQalU4uDgoEkaD1qXtBFYRNo8EokAX17SLBaLdLZEZ71wOCx5aI1YWpV7a+zUl0gkpCSiiKiL4lyhsBGJRNje3qZarUrKBbRGl4Iv15H4vRKJhJRxE5g0TcPtdtPf3y9ToeJyKS7b4ndqFUvjJTWXyxGJRHj06BFGo1E6o4ODgwwMDJBIJLh165asHxDvEVqPbggsYlzERXZ5ebkpuj84OEhfXx8rKyssLS1J1YhGObR2RZIbCynT6bRUJhIZMpGZWFpaYn9/X37vSQtnnmVHI8mCkgOwt7fXRLtZWFho4pVDewooj16aAcmPTqVSHBwcUK1WZTGyqHUQjlG7CvSOe0bjJbax8FrUQAh6ZKO1Y0wasRz9/UTjrpGREakIE4lEpDTgaWFpfJ74s6BCvvbaa7JZiSi0PW0sR58tMpzvvvsuY2NjlEolPvvsMxkAOPpeTwuLeL5Op+O73/0u8/PzFItF/v7v/77tBYvPg0NVVd566y3efvttisUi/+2//bdj5UXbhaPlVtMi1dx4MO/v78vNT/BGBX/R7/dTLBZZWVlhbW2Nvb09OdCtHu4iXSYOxGw224RFdMQSB5ff7yefz7O+vk4oFGJvb0/yQFs5VI9Wx+ZyOaLRqDzUzGazpJz09PQwOjpKPp8nEAgQiUSaIvKtHmIiQiAuBvl8nng8Lp1Nm83WVOAyOjpKLBZjY2ODWCwmIy2Nv0+rWMT4iHbWImLsdrupVqsEg0EsFgv9/f1Eo1EpuZZOp5uKwFox4fAILCJaKjjzQr1hf39fKgWI7oL5fF4Wg7XDhMPT2JlP8AH1ej0jIyNSzgsOo4Z3797l9u3b5PP5trUyFs5Oo2MpCtFsNhuTk5Nyzoi//9577xEIBKQD1i79y6MFZaKldaFQwGazMTw8TCqVwul0Si7n+++/TzKZlDjalWoT70c8T1xyBS9cFI8ODw9jt9vZ2NhgYWFBztV2apUKJ0NgKRaLUnbO4XCg1+sZGBjg8uXLUvt9b2+v5Q6hvwlLY8ZBBCHq9Tr7+/v4/X4pI9bIxxaXwnbZUedLUJAqlQoGg4FUKsXk5KTspGcymaTkG5yeLJWoixGOaDqdxu/3y2Lx3t5ebDZbE5XotKwxI6ooClarVSpH2O12mekUY3KaEUExB6rVKlarlfPnz+Pz+ajX63J9NRbadgKLCAJ885vfxO12k8lkWFhYeEqG9rScv8ZnK4qCw+Hghz/8oZSH/bu/+7umLn6nheU4czqd/OEf/iEul4vFxUX+1//6X3LPb7TTxuN0OvkP/+E/4PF4uHPnDlevXj32zGkXjpYdZOFkHHVuBXevkTcHyOhGKpUim80SCATawnH9TVjE9wssgu87MjIio1LBYFAe9KeFQ4yJWPRCG1o4gslkkrW1NXZ2dtp2eIiD6DgswlkVG4PQ102lUmxubrK+vi7bsJ4WFjEejY6zoiiMjo7icDg4ODhgdXWVYDBIMplsKz/vOCyCIlMsFmVEYWxsDJfLRT6fl40fjm5U7cYiHDC9Xi8bhHi9XlnwtLa2RjgcbqKGtMNEsWsjDhH9Eoo0MzMzeDwedDodi4uLTfz+dplwAhv3hmq1ysHBgVSRCIVC/PCHP8RsNpPNZllfXz+V9L14XuPFV4xTOp0mk8lgsVj44z/+Y8rlMktLS+zu7p6as9PoXAos1WpVRmuDwSCappFKpfj1r3/N3t7eqR5cR/m29XpdFiOLtZ1MJrl+/ToHBwcdwdJouVxOyiLCYb3K3bt3ZTDkNOwoVUE463NzcxKHaA7Vah+Ar7Kj4y2yPa+//rqkxGxubhIKhWRgplNYRH3F5cuXpWLEe++9RzKZPFVa0HFY6vXD5kuvv/66rDP45JNPKJfLp9744igWRTnU7n7zzTcxGo3s7Oywvr7eUZ6vMFVVmZubk0WUn332WdsaMb2IaZrGG2+8wbe+9S2q1So//elPT32+tuwgw9NpnOP+W1VVfD4fo6OjUv/30aNHxxZ7nBYWkQrU6/WcP38er9dLoVAgGAzy+PHjpnRhOws2jhsTcYO/fPkyer2eYrHIo0ePWF1dbYqGtGNMnsUNFb+vohzqmQ4NDVGtVolGoywsLEhZrdPE0qg0ILCYzWZcLhfFYpHd3V2Wl5eJRCIdwdI4PoKrbbPZKBQKbG9vSx1g8ZnTwiI4r8LxFAWLZrNZNuARUbJ22XGbr/iZcILFxUEUFbaz4cPzYhGqJkajEZ/Ph16v5/bt201/r912dD9ojFILvrjZbKZer7OwsCDpWqeB5bhxEWMiotqC7xsIBNrKg35eLPl8nnQ63cTXFhKap2HPGutarSYzPtVqlVwuJzstnlYk8LjnijUknONcLiej+6d1kXrW/iTWkZCVzGazfPjhh8fq6p42FkDWwtTrdSKRCL/85S9PLG/6IniOc0r7+vqkzvj29jaLi4un7qgfh0XTNC5cuIDZbCaTyfDrX/+6qVCwk1hMJhPvvPOOpB3+6le/OvXiwONwOJ1OfvCDH0ilMtFP4jRN/eq/8mJ2NPwvDhEh/F+v10mlUty4cUNyKE/rVnQUi0h3lUolenp6qFarhMNhPvnkE6LRqMTa7k3iOBwiQuj3+ymVSoRCIR4+fCiLWDo5JoL/Ojo6SjabZW9vj52dHUlZ6RQWwVcXWrLxeJxQKMTBwUFTF7DTxCKiYCJqMDs7i9/vZ39/X0bTG99PJ7AIlYq5uTm8Xi/Ly8uSy92JaEIjDoDLly9js9m4c+dOR1KgR7EAUs92ZmaGer3OL37xi6fkujqBRfzT399PT08PyWSSa9eutbVQ8EWwqKqKw+GQUaeNjY2m2opOYhGXS03TCAaDRCKRU8PyrPkn5q5oOlOr1Tg4OGhqId4JHICkbsGhBOmdO3fQ6XSngkNgOQ6Poii4XC7ZKj4SiciCq8Z6oE5g0el0zMzMyMtlKBQiGAye+lo+DovNZuOHP/yhVOxZXl6WHPZOYlGUQ5WvP/mTP5GiAp999lnbi36fF8vFixf5oz/6IxRF4eHDh1y7dq1J9rITODRN43d/93f58Y9/TDablbrH7QwQHWdtd5CfZZqm8e6777K1tcXDhw959OiRVJPoZNqgXq/LG9Hm5ib37t0jEom0lSf4PBjq9cMubjMzM2xtbbG4uCgvFJ00EZWdn59nYGCAjY0NlpeXm/SpO4lFVVV+/OMfy0LB3d1dBgYGOp5WElj+8A//UMpCxWIxJicnO4pDYNHr9fze7/2e5P1ms1l52HYSh8Ph4OLFiyQSCf76r/+aeDwuVQo6iQO+rDa/fv26jDp10hEUWAwGAxcvXsRoNPLBBx/Ixi6dtlqthtPplMor9+7dY39//9QPkWdhGRoaQq/XoyiHnRiPdhXslAlKgSjeFPxfoZrQCRP7iV6vlxdsoUojmmN0yur1utQxF5mGvr4+FEXBZrN1HMvbb78tGw7F43F8Ph+apnV8XPR6PZcuXaJUKrG/v8/HH38sz0fRLa5TJoJEmUyGzz//XGa4TwPLb1oDinLYOa+3t5dwOMxf/dVfkUql5Do2Go1tw/KbnqNpGq+99hoWi4WbN2/y0UcfNfHpxT7TbuvYG6/X68zPz8tCgE46pEdN3IocDodsxfkyHDChtygag+Tz+Y5iEFatVhkdHcXr9aLX68nlcrJQo9NWq9WYn5+XLWxFk5eXMVdUVWV2dha9Xk88Hmd9ff3UUrNfZTabjfHxcTRNY2tri2Aw2PH5IiIbXq+XUqkk5e46famDww3z1VdfxWw2S15rOwvzXsQMBgOzs7MoiiL14E/aBr0VUxQFk8mE1+ulXj+UfhNOUKdNzBWLxUK5XObBgwdSkq7TJnSHBcXi5s2bHdWPFSbOG1EIu7Gx0VJH0JOaoiicP38evV4vC9gTiYTM9HbykmkwGHj11VelqsaDBw9k86NO7ysul4uhoSHMZjPFYpHr1683Ud06ZYqiMDExIYtul5eXm5prtTug+JueJdpcWywWcrkct27dkrUYjYpSp43D4XDwne98B4PBwK1bt4jFYvLvn8aYCOvclahrXeta17rWta51rWtd+ydgp0N+Ou6LdDpcLhcOh4NMJsPIyAgGg6Ep0nLaen7CnE4nZrMZu92OwWDA4/E0yTh1wkSVquDCVavVpuhCJ03TNKampmQKJ5VKdZTj2mh6vR6PxyM1tldXV4nFYi8Fi8vlQtM0SqUS0WiU9fV1kslkx7EoisLY2BiKopDJZNjZ2ZHa0Z3EIiLqlUqFvb09otFoU6e5TuEQacbJyUlyuRyxWOylRGwBqQvt9XqJRqNSk7OTtDFhRqNRZqREl9NWGg21Yi6Xi/HxcQqFAqFQSKp6NDbm6AQmwbcVmt2RSIRbt26RSCSaWuSeerGPquL1ekkkEmQyGSKRCKurq6RSqSb1nk4UYYmGVKLZUaFQYGNjQ0q2dur9iLVTr9fJ5XLs7+8TjUaJx+MyG9SpeWs0Grlw4YIcDyHTKOpwOonFZrPx+uuvU6sddg9dXV1tUuHqJJbh4WFeffVVKpUKd+7ckZFskbFr5z73m55z6dIl+vv7yefzfPzxx03KTac5Hh1zkEX3r0wm09Qat1HrtFMbptfrJRwOYzabqVQqMlXd7taav8k0TcPv98sigFwuJ3VuO+2Amc1m3G436XQavV5PIpEgFou9FCwDAwNYrVby+TwGg4FYLNZUKNFJJ2xiYgI4rPIul8skk8mX4iCrqsrIyAjFYrFJvaLTlxiDwUB/f79slGEwGGRb8nbq6z6P9fT0YLFYZHdFk8kkmwF10llWVZXp6WmpY97489Ms5DzOTCYTs7OzhEIhnjx5QjAYJJVKdfwCA8gGLtvb23zxxRcsLS1JqlQn91k45HO6XC6CwSBPnjwhEAiwu7vbNk315zGh8x4KhWRNw+7u7lMNTDpher2eVColm8tcvXqVtbU10ul0x+k4qqry4MEDSqUSt2/f5n//7//9UnDA4RkslIp+8YtfsLW19VL4+4qicHBwwPLyMvfv3+fmzZtNVJxOnoHlcpnd3V3i8Tg//elPn1IX6cR7EtKVe3t7fPTRRywvLx+rKnQa1hEHWVVVhoeHGRsbk4UK4XAYt9tNIpGQBS2diJzq9Xp8Pp/k2YrmEBaLpUlT9rRfvNlsplAosL6+js1mIxKJyKYZQlkCTn8xiAhLIBBgc3OTWCzG9vY2hUJBRp86FdFWVZW+vj5WV1epVCpsbW2RTCalNnEnb86iSOT+/fvY7XY2Nzelo9xph0MU9ty4cYNCoUChUGhbc5AXMZvNhtFo5MmTJywtLQFf6ml30hRFob+/H5PJxObmptwwRcenTo6LaBUfiURYWVnh9u3bcj9TVbWjB6zIwF29epX79+9z/fp1ksnkS+GIF4tFFhYWWFtb4+7duywuLjap4nTKFEWhVCpx//59fvazn7G7u8uTJ0+aWsV3CkcwGOSnP/0pa2trlMvlp9pMd8Lq9UPlog8++IDbt2+zublJpVJpq8b881q1WiUSifBf/st/oVwuEw6HX1odQalU4u7du/zkJz8hkUg0FaJ12jKZDP/jf/wP/uqv/opwOHzqMnPPsnq9zu7uLv/5P/9ndnZ2JE+9nfY852i9XufJkyf88R//MQ8fPjx17eNG64iDrGkafX19wGGXvbW1Nba3t2UXqE4tCFHEMjk5SaFQYHd3V3bKaex4dNqmaRoej4eZmRnS6TSRSES2Pm2UEeuE6fV6hoeHmZmZIR6Ps7S0xPr6upRc6+RmZTabmZ+fl53Jtre3OTg4kHOkk1gcDgdvvPGGjDzt7e3JdGinD3mfz8f8/DylUol79+5JLeZOrx2fz4fD4WBtbY0PP/xQdnzs9KEm0tXFYpEHDx7wySefkEwmm6QAO2Wi+n5zc5MnT56wvr4u13EnTRw0S0tLZDIZnjx5Iht1dPqgV1WVfD7PP/7jP8q18zIudAJLMpnkF7/4BZFIhGw2e2wHsNM0RVGk1F0wGJS62S+rkBNgY2ODev3LhlYvwxlUFIViscjOzg7Q3o6TJ7FEIiELfl/We4HD4FwgEHhptLHG4rtarcajR49Obe3+pt+vEUe1WuXWrVsdvzx1xEEWCg0LCwsEAgFu377dtq51J8ESjUb54osv0DSNu3fvNmkPd8LELX57e5t8Pk+pVJLdrjq9OEXL68XFRdLptGz+0Jgi7pSVy2UWFxf5+OOP2dnZYWlpSVYRd/pAy+VyUu9RXOiEdZpekUql+OCDD7h+/TobGxtkMpmO0010Oh3RaJT/+T//J5lMhmAwSLlc7jhnXlVVjEYji4uL/MVf/AXb29uynXxja9rTNjEmJpOJa9eu8etf/5poNEo+n0fTNHm4dBJLrVbjo48+Ip1Oy2itpmkd3dsURUFVVbLZrGyFfhydrhMmGg8lEgmZqRTj0EksQgVBRCUb+ZPi/XTKRNpc0LMa10un3w/QUc7zi2DptDX+7kffS6ftuKZVnTbhf8CXY/NS1HheZFIqinLiGSxE41VVpVAoyFv083x/vV5/asaeFIuiKDidTiwWC6VSiXw+LyPZz2NHsZwUh+gsKITAG/mTJ8HRKpbBwUHq9TrJZFJGwJ53QrYbS29vL9VqlWw2+8Jp2XZjsdvtVKtVeai8yHpp97w1GAwykv6iUex2zVtAOoBwok3rdr1ev9wuLI2H2YsesO18P61aF8s/PSxfFxxdLF0s/1SxfF1wPMteNIIcBTZfHM4hAf6E3JGRdmKp/7+aj6LavA1YToSjVqu10nq1rWNSq9WaIqQvG8ve3t7XBksymfxaYKnXD9sItxHLiddyixGFtmJpIerU1vfTonWxHG9fdyxfFxzQxdLFcrx93bF8XXAcay8UQe5a17rWta51rWtd61rX/r9u3UYhXeta17rWta51rWtd61qDdR3krnWta13rWte61rWuda3Bug5y17rWta51rWtd61rXutZgL1Sk93WqOPy6YPm64Ohi6WJ5ESwvCwcQrdfrvq8Dlq/z++li+fpj+brg6GLpYvmniuXrguNZ1o0gd61rXeukdbpiuWtdeynatsfZV+HoJE7REfTrgEVoVn8dsHydxkVgedZ3vowuppqmHYupk1gEDk3T0Ol0TT8Xc6kd76kjjUK61rWuda1r//80cVC9TMWkxgYhL6NT2nE4xH83Yul022mBRTTqaNQ17yQW8b2NDqH4Waffl/guMW+PNq3o9Nyp1+tSe77RCe10R1cxDnq9Xn63aKzSyU634r0YDAb0ej2VSuXU5kvXQe4a8Hw90TtlXSzH44CX62R8nXDA05Gcl4mp0cmAw8PrZY2VXq9Hp9PJxjYvC4uiKFgsFiwWC6lUimq1KjW0Gw+0TmFxOBw4nU7Zvr6xo12nHB9FUbBarbjdbux2O7lcjlAoJB2OTnc9NBgMOBwOfuu3fguTycTPf/5zstmsxNKpd6SqKqqqYjKZ+M53vsMPf/hD/uEf/oF79+6RTqfJ5/NNTvRpjpFwBDVNw+/386/+1b8C4Nq1a6ysrBCNRjt2kRBYVFXFZrPx/e9/n9dff5319XU++ugjlpeXZZOz015TwjlXVRWdTscrr7zCj3/8Y/R6Pf/n//wfPv74Y9kd+TQ78GmaJv9dLpfxer28/fbb9PT0sLq6yieffEKhUJA4Gtf5i9qpOchHN2Th6QvrZIvaRixiU2h8kQLLaW9M4mYscBiNxqYX2SkcjVjg8F0YDAaJBZBtezuFRSw+kTJpHBeBpRObtXB0NE2Tm7Zo0CF+Xi6XO4JFjIvJZJKbX7FYlO9OOEGnvY7E7202mwGkcyFwaJrWERwCixgTOHREq9WqPEhEm9ZOrmez2Sw3bTEuokV6tVrt6DqyWq0YjUY0TSOXy8kDQjjKjU7PaToajY6g0+kEDueNaPdcr9efWtOnOUZOp5PBwUHcbjcGg4FyuUwikZCXCDFnThuL1Wqlp6eHwcFBrly5AsB7773H+vo6tVoNVVWbzsnT3GfMZjMWi4WBgQH+9b/+15w5cwaz2czf/M3fyDbl4pw8bSx6vR5N0+jp6eE//af/xOXLl3nzzTf5gz/4A/mOGhslneZeI9a1wWDgnXfe4d/+23+Lw+HA7Xbzt3/7t+RyOfL5vPz7p9kWWoy5qqp4vV6+//3v873vfY+1tTV2dnYIBoNks1mAU29vL/Y0OIzeTk1N8aMf/Qi73U6pVOLevXukUimJ+7TekcAh9rVqtcpbb73F7/3e73Hjxg0eP35MLBYDeOoi/KLWkoMsNthG/pCIVphMJnQ6nTy4HA6HnFRWq5V8Pk88Hm8J/LOwCBMHpslkwmQyoWkatVoNu90uHTCTySSxNG4GJz08fhMOcWCIiWy1WmV3QZPJRC6X4+DgoKmlcSuHWKMz3nhJUFUVq9WKx+ORk8zhcMjDy2Qykc1miUajFIvFtmNpHBvh7Ij20rVaDYvF0vR+crkckUhE4juNcRF8JoPBgN/vp1arUalUZHtncWtOp9NEo9GmiEYr1oil8WcCy/DwMBaLRR7g1WpVOkCJRIL9/X1yuVzLWI4bz0YHcGBgAIPBACAPT+Ewx2IxotEo2Wy2LZvis96tqqoYjUZ6e3vlgarX67FYLOj1esrlMvv7+yQSCTKZjMTSirPzLCziAHW73RiNRonDbrej0+nI5/Ps7++TTqdJp9NPRSvbjUXTNOx2Ow6HA6vVKiO3RqORVCpFKBQil8s1YTmtcRHvyWq10tfXx8jICGfPniWfzxONRtnd3aVUKpFOp+U6Py2HVNM0TCYTTqeTs2fPMjg4iMViYX9/n7W1NVZXV6lUKmSzWbkXn0Y0WYyJ0+lkamqKN954g0uXLlEoFAgEAoTDYXmRymQywOk5pOJyrdfr6enp4Zvf/Cb9/f04nU5cLhdms5lSqYTBYJCdRIVTchrvSQSGrFYrly9fZnh4GE3TqFarOJ1OYrEYDodDOj2niQW+3N/6+/v57ne/i9frRdM0hoaGqNfruFwuuYZEev+0sIizwWw2MzMzw6VLl3C73bjdbgqFAl6vV14cSqXSqWMRZrVa+f73v8/Y2Jg8t3t6euQaEoGc08DSSHdRFIXh4WH++T//5wwMDLCysoLP55PzttUxadlB1uv1uN1ueVhms1mcTicjIyNYLBbcbreMlqbTaSqVCpVKhc3NTRlREBtBK9EWgcXlcmGxWABIp9O4XC7OnDmDy+XC5/Ohqip6vZ50Ok29XqdUKrGxsUG9Xiefz8tDVdw8XhSLODjtdrsck0wmQ19fH2fPnpUHl9lslmMivm9tbY3l5WUymYwck1Kp1OQwnxSLcG6y2Sw+n4+LFy/icDgwGAwYDAYsFovcmAE2NjZ4+PAhqVRKbgbFYvFEYyKwGI1GbDabHJdSqcTAwADDw8N4vV5cLpc8YHO5HBaLBZ1ORyAQ4P79+9JhBygUCi3NFZPJhMViwWq1Akhn1GQy0d/fj8PhkBHkWq0m+U6bm5vcvXuXcDjctBmcNGLZeIET70hVVfr6+rBarUxPT9Pf3y+j6DqdTjrJu7u73Lx5k93dXRlFKJVKJ4poiE1Yr9fLn9XrdTweD4ODg5w/fx6v1wscOh1Go1Hy0UKhENeuXWNzc1POoVYiymJMGi/eiqLg8Xjo6elhenqa0dFRzGYzOp0Ou91OsVhEVVWCwSCffvopa2trcm2Vy+WWsBiNxqYLjDg8So4CswAAIABJREFUPR4PY2Nj+Hw+PB4PFosFl8vVhOWTTz5haWlJjku5XD5xxEms58YNX1EUnE4nPT09zM3NMTg4KN+T3W6X72hnZ4ePP/6YxcVFiUXsxa1ggeZontFoxO12c+nSJWZnZzl//jzlchm9Xk8ikcBsNkssDx8+bMveLy6vjVhEitxms/Hmm29y/vx53n33XSqVCi6Xi42NDS5dusTDhw+5ffs2a2trcp8Ta/lFsaiqKrmijXxIOJwzg4OD9PX18aMf/YgLFy7w2muvsbOzIx3WlZUVtra25O9Sq9Va2m+P8q0bn2MymbDZbHzrW9/i+9//PjMzMySTSV555RUuXrzI+vo68XhcZkZaSVUfDdAcxSL+jsPh4MqVK3g8HgqFAqqqMjMzQyKRIBqNysCKoihNwayT4DkOgzDx8zNnzvDWW2+hKAqFQoFwOEytVms6Jxv5uKeBRfw/VVV599136enpoVgscufOHXZ2djg4OJBzXmSBT+Pi24ilWCzidruZm5ujXC7z6NEjfv7znxMMBuV7MRgMp5o5E76b1WrlJz/5CUajkfX1df78z/+ctbU1GYw1Go1PZYdexLoqFl3rWte61rWuda1rXetag7UUQTYYDDidToaHh/nmN78JwPDwMHNzc/j9fiwWC7dv38bn86HT6chkMqTTaZaWlmRKPRKJSN5KS1wRnQ6n08nAwACXLl0CwO/3c/HiRaanp3E6nXz++ef09PSg0+moVCrk83mWl5dxuVzUajX29/eJx+MAJ76h6nQ6bDYbPT09jI2NAYc30W9961tMT0+jKAqfffYZIyMjeDwe4DCSs7q6KiM+e3t7RCIRgCZe8IuapmlYrVZcLhc9PT0A9PX1ceXKFd566y3MZjPhcBiz2SyjcJVKhZ2dHZxOJ6qqsrW1xe7uLkATB6wVLDabDYD+/n4ZsXC5XDJaAZBMJrFarSQSCZnGXl5eJhAInAqW4eFhzp07x9jYGOPj48CXt+VsNovNZqNUKsm5/ODBA7a2toDWIpSqqsrxt9vtAHLuTE5OcvHixabof6FQkPSl4eFh4HD+BINBieUkKSURFRZRUACXy8Xw8DAXL17kypUrMmqcyWQkDovFwt7eHuVymVQqJdeN4Je2EhE0GAz4fIeSyQMDA/T09DA+Ps4bb7zB0NAQZrOZRCIhU652u51QKEQ2m2Vvb0+uHZECbAWLXq+XkdmpqSkGBwfx+XycO3eOM2fO4PF4CIfDMrrf29tLKBTi4OCAQCAgIxqVSkVmJU6CRXD0xZzo7e1laGiIqakpXnnlFaamprDb7ezs7FAulzGbzYyMjLC7u8v6+jpLS0tN0fBWsIh/RMTTZDJhtVqZmpri/Pnz/OAHP8BoNLK3tyczfNPT03g8Hu7du/cU//ikqVCB4+jvpWkaTqeTSqXCzMyMzDi43W4SiQRTU1MALCwsNEVqT4pF4IDmyKCIZh8cHDA2NobX62VgYACr1Yper2d2dpbf+Z3fYXd3l2KxKMdF0BXbGUEWf87n89jtdsbHx5mYmMBkMrG7u4vJZGJsbIyVlZWmjGor7+foeBw18Xt6vV7Onj2LwWAgEomwv78vqTi5XK5pj21lXJ4naqtpmswOVSoVlpaW+Oijj2Tm8KjqxkntebCI6Pq7776L2WxmeXmZn/70p3Kva1xH7cDyPH9venqanp4eAoEAf/EXfyEzU42ZrZNieZ4xEWYymXjnnXeIx+P8/d//Pbdu3WrCIc7Dk9qJHWRFUejr62Nubo7x8XEuXrwIwMjICNPT02SzWeLxOMFgUDo51WoVs9nM/Pw8ZrOZg4MD8vm85Iu08ou43W7GxsY4c+YMo6OjAIyPjzM1NYWiKOzt7bGzs0M8Hsfj8WA2mzGZTMzOzlKv1yUfTvCcTorFarXi8/no7++Xh/vo6CgzMzM4HA7W1tbY2toikUjQ29tLX18fvb29jI2NSWcsl8sRDodPPBbCzGYzNpsNp9MpnS+/38/58+fxeDwEg0GWlpYolUp4vV48Hg/Dw8MMDQ1RKpXIZrPEYrG2cOGEM2Wz2SStYXh4mFdffRWPxyPninBqrFYrFy9exGQyUalUSCaT7O7utoXjajQaMZlMOBwOOS6jo6NcuHABm81GoVBgbW2NTCZDLpfD6XTyxhtvoNPpqNfrBINBTCZTW8bFaDRKbqKgBg0ODjI/P8/Q0BBGo5FAIEA0GiUajWK323nttdfkpU7QZFrFIqg2TqdTFlX19PRw/vx5XnnlFaxWKzs7O+zv77O3t4fBYODs2bO4XC5cLhcmkwm9Xt+WlJper0ev12O326Wz7vV6mZyc5NKlSwwMDJDNZgmHw2xvb1MulxkcHMRms0k6kag3gNb4rTqdTvJYxWVK0BbEfmM0GgmFQiwsLJBOp5mamsLpdKLX6+V8bXQ0TopHXCAbHWSxToUzaDQaWVxc5M6dO5TLZebm5ujp6WkqkGuHHFJjdb2wSqVCLpdDVVXOnj1Lf38/Dx8+5NNPP8VkMuH3+2WQJJ1ON6latIJFFEMKfVZAPrtSqTAwMIDX6yUajcr9X9DvyuXysVhOaqJeofG/RRGgwWBgdnaWyclJeXEIBAJYrVay2Sz7+/tNclmtpsob1UvE8xqf6XK55GWzVqsRi8UoFArE43FSqVTbpLuOq7M4apqmMTc3x+joqCyEzmQy7O7ukk6nOy4j5nK5mJ+fl/Uw2WyWYDAo6Y/tuNw972c0TePMmTOMj49jNpupVCrSUW98p41qFqdFbYDDs+InP/kJLpeLSCTC+vq6DHK2A8vz/n1FUbhy5QpjY2OEw2Fu375NLBZrGhNx8T3pmLTkINtsNvx+PxMTEzJq29fXh8PhkPzIGzduAODz+ZiYmGBoaIjR0VGq1SrpdJqtrS3J5UwkEvKlvygW4bxYrVYmJycBOHfuHB6Ph/X1de7evcvNmzdRFIXe3l5mZ2fx+/0MDQ1RqVQolUpsbW3JA1lsmC+CRdza8/m8/B5ARrDj8ThffPEF9+7dAw4P/ddeew2dTsfg4CDT09PUajXW19elkyK4nCddfNlsFrfbLaPVs7Oz9Pb2kk6nuXfvHlevXqVYLOJyuZibm0Ov1zMwMMCZM2colUosLi5KLPl8/sS8olqtRiqVwmq1MjQ0BBxG1u12O6lUio2NDT7//HN5wIrbu9/vl6R7EWmFw2hqK1jS6TQOh4O+vj7g0FGFw8h1IpHg17/+Nclkkmq1ytDQkLzEOJ1Oent7ZQU4QC6XawmLGFeBQafTYTQayeVypFIp3n//ffb29shms3i9Xux2O/Pz8zgcDlwuFwaDQX5WzL0XxdKokCF4yGazmb6+PsrlMru7u/z85z9ne3ubdDotncWenh7sdrsci8YI2kk3pXq9LiOxwhE0m81MTk7icrnIZrO8//77bG9vEw6H0ev1fPvb32Z0dBSDwdDk7LQDS61Ww2w2N0XfRAaiXq/z8ccfs7CwwO7uLkajUb4TQEbVG7+7FSxiLBqdZVF3kclkuHbtGp988gnhcBiPx8PMzAx6vZ5MJkM4HG6KlD5vNO2rsAhnwWQy4XK58Pv95HI5vvjiCz788EPW19flAa8oCpubm2xvbz+1ZlrB0qj2AsiiybGxMVRVZWlpia2tLQqFAn19fUxOTlIoFFhdXSUSiRx78X7R9yQO4sbLs3iG1WrF6XTK8yabzbKwsEC1WmVhYYEbN24QiUSOvSic1MkQhYGNPHOh+KLT6Zifn8ftdqOqquSyrq6uEg6Hn5m5bCVy26hk1XhRE2flxMQERqORRCJBPp9nY2ODcrl8bGa5lTUtilqfVawqzsCpqSny+TyZTKYpKHLU0T/pvBWfPapccvT/WywW3nnnHRRFIZvNkk6ncTqdz/y+k+AR4ykum88yTdOYnZ1lenqadDpNJBJp0okWJtbC0Qva8+AQ//6qC5HD4eDf/Jt/QzKZZGlpSWbwGueFwNGYKXuRcTmxgyycr/v375NOp5mbmwOQkePPP/+cW7dukUwm8fl8KIrCwcGBdLZcLhcejwev1yvTwyctdKrX65TLZUKhEDqdjjfffBM4LDS7e/cujx8/5v79++RyOXp7e9E0jWAwKCVuRASvv7+fzc3NE2MRkYJ0Ok0oFJIvOx6P8/DhQwKBAFevXiUWi+HxeDAajWxtbeHxePB4PFQqFWw2GxMTE5JK0MqY1Go1CoUCiURCOj35fJ69vT2SySTXr19ne3tbRtOfPHmC2+3GZrORTqdRVZXp6WnW1tZawiLwlMtlstmsdKbgcL4kk0nu3LnD8vKypMqsrq4yNDSE1WqVEbvR0VEWFxfbhiWdTjd14SmVShSLRe7evcva2hrVahWTyUQgEGB9fR2Px4PJZMJsNjM8PMzKykrLWMT3plIp6awLablSqcSjR4948uSJdHyr1SrBYJDx8XGcTqdUChDz5aSRFlH0kEwm5RqFwwtDuVxmdXWVJ0+ekEgk5CFeKBQolUoy7S+c5lZwNGLJZDLyQpTP52WGYWdnh/v37xMKhcjn87ICXxQSlcvlpvfaKpZyuUwul5PPNBqNZLNZtre3WVhY4ObNm6yvr1OpVJienmZiYgJN00gmk0SjUfmcdmAR1DBxIRJFztlsls3NTZ48ecKDBw+oVqv4/X7m5+fRNI3t7W0ZoWwXlmq1SqFQkHtLqVTCaDRSrVY5ODggGAzKTExvby+vvvoqqVSKlZUVOY8an9cKllqtJr8fviyGDIVCWCyWpgr73t5eua/duXNHFmw3HqonXUPioikuMOI5qVQKVVWJRqOS4icye59++im3bt16qsBKPO8k2czGMWmMqsOXyguAdLT0ej1Op5PFxUUeP35MqVR6SompFSxiHR1H94DDy9Urr7yCzWaTRbGffvopjx8/lrSko59tZVx+036t1+t5++23mZmZkRre7733Hg8ePKBcLstCzHZg+arMiaIoDAwM8Fu/9VtS0eNnP/sZN2/epFwuP+WcnpSW87wZHJ1Ox+/+7u8yOTlJMpnkr//6r7l27Zo8B45iEc9+ERzP8xlFUXjnnXf40Y9+RDKZ5C//8i+5ceMGlUrlWBwdjyDDlxu2xWKRjkuxWKRQKLCyskIwGCQSicg0/cDAAP39/USjUTY3NykUChQKhSZlglZuhEL0PBQKAbC/vw9AKBQiHo+zv79PNptFr9fj8/mIxWLs7OxIfEKQXPweJ8Ei1A5sNpvkM6+urmK1Wtna2qJYLBKPx5sizAJHLpdD0zTy+XwTjpOawWCQUQRReStuWaICNplMUqlU8Pv9WK1WUqkU4XBYOsilUklGE1qpHNbr9RKL+N1isRjr6+uEQiHC4TCpVAqDwcDAwAAOh4NUKkUqlZIOWKMCQCtYhPygpmlyfIvFopyv4XCYTCYjlRMcDoeMWItNqVAoyAhEK9z5Rt5i43NisRixWEym9UT1vdvtRtM0LBaL3Byz2WzLskONih2NGuGxWIzt7W12d3fJZDKUy2WMRiNer1dGjwVNqhFHK1JMIvIgnEFApjiDwSB7e3uEQiESiQSqqtLT08Pw8DBWq5VwOEwgEJBRfWhtg2xM1QkHQ0T9t7e32djYYH19XTrzjQoboVCIra2tJi5nK1hE+l4c0mKshLpJJpMhEAigqiq9vb28+eabDA8PUywW2d3dJRqNNqmLtJKyFr9H45wVfD+fz4emaaysrOD1enn99df5wQ9+QF9fn+SHi/fTyLdtJxYhFzk0NMT58+dJp9O88cYb9Pf3MzExgV6v5/r16+zs7Mi9vvHicBJrdAQb1TkMBgM2m40LFy7IbISqqpw5c4Z4PE4kEmni0h91ElqZt43atUK+TEhZjoyMAId7jZAD3N7elhzORkeyHViONqwR69xgMPDqq68yMjIi6wVSqRTLy8vk8/lnOm+tBEie5dQqisLo6Cj/7J/9M5khisVifPHFF6eC5as+azab+fGPf8zc3ByKohCNRvnlL3/5lOQpnMwhfRFTFIULFy7wJ3/yJ+j1eg4ODvjVr371lDyuwHJaOODwkvunf/qnGI1G9vf3+eSTT5oyAkdxnBRLSxQLoR08OjrKnTt3gEOKRTKZlIepXq/HarVKYX+xuY+Pj8vIZDt6eKdSKYrFIvl8XjrrY2NjkhdXLpdlCtDhcMibvsFgYGxsjMePH0th/VZMRCV7enpkNNpisVCtVslkMpRKJSwWCz6fT0bW6/U6ZrMZp9PJ48ePOTg4eCqScBLLZrOoqorT6WRvbw9AHl6i6MFisdDf3y+5X2azWb6vR48esb+/35T+OSmWfD4vHTBxcRFFT8IBF1jOnj2L0Wikv7+fnp4earUagUCAWCzWJNB+UixCQqher8sIn9frlc4HIHWiz549i8fjYXR0lKGhIdn5SvDnW8UiJMFqtRqJRAI4pBpZLBZJHRLSgGfOnGFiYkIWhomLVTweb1lPVkS9xEVR4IhGo1Jn2GAwyHG5cuUK09PTDAwMsLW1RTAYbHJKW42oCx1UwW2LRCJYLBapgQyH0S+z2Sx5thaLhWQyKakE7eCUiuxAtVqVUnpCJ9zlcslx8Xg8DAwMyKhTuVxmbW2NZDJ5LGfxJCY2eyH/BYd7p8AlLqBmsxmHw0Fvby86nY5gMMiDBw+amnS0asLZaWwIIC6OYn0JSc2+vj6GhoYwGAxsb2+zsrIiI5vt4JU2Om+N71xcZoWcZrValcWv4XCYjY0NYrFYS4WTx+GAZmelWq2i1+sZHBzE7/dTrVbx+Xy4/x/23iy4zfM6H3+wfdhBLAQB7ou4k5KoXdZiJ05dJ07jNGnaNEnbTKftTHrZTu/bXvS2M5220+mSTptJ7LZxEive5C2yLYmyLIqkKErcV5AgSOz7Dvwu2HP0AaJsC5vd/x9nxiOZIoAH7/cu5z3nOc8xmbC7u4vl5WXejyuB4yA84p/JZDK0t7ejs7OT+bYKhQJut5tpDeLnW0krxkQUgubmZuh0Oj4T5ubm4HA4CrJz1cYC7M9hk8kEq9UKnU6HXC6HmzdvwuVyFay/WvGh9Xo9jh8/Dp1Oh1gshsuXLxdQcWqJRRAEfOUrX4HJZILP58NPfvIT+P3+gstYNZ1iMqlUijNnzsBisWBvbw///u//zmcWUFnnvGQHmaIoJOBNEcru7m40NjZypDAajUIQBPj9fmQymQLuZj6/z80iXVw6oB/3gefz+2oDarWauXYAMDY2BqPRyAUqsViMI7tyuRzHjh1jJ5U2dcJCerOPi4UibJQ2B8BpcMIRDodhsVg4skSFR+l0miNxYo5hqS0/abyz2SynF4nCkMlk0NXVBYPBwDq7wD4v2G63IxqNcjSZDh1yWkqZfISFii/oZ3SB6urq4ogPbdj9/f0wmUyIxWIIBALcYAB4UH1fKSwUIVYqlWhra4NcLkdbWxtaWlpgNBoxNDQElUrF9BkxlnI4aNlsllOuhCUUCsFoNKKhoQE2m43T5VarFZ2dnRgYGEAqlYLH48Ha2hrcbjc7psWV65/WcrkcN9uguRIMBmE2m6HT6WAymZiLrdPp0NXVhdbWVk7tb2xscDvhcseEsNB6AcAFk8CD9WS1WqHRaDAwMIDGxkZ4vV7MzMwgEAgU6KuXU7SSy+X4+dDzTiaT8Pl80Ol00Gg06OrqYnWC4eFhLsadnZ19SM2jHCzk3Ij3SLlcjmQyydkXEu632+3o7u6GUqmEw+HA5uZmWVHAg6xYsYEioz6fD4IgoKOjg4s5zWYz8vk87t+/zxfBShqpWBAm0n+XSqUIBoPo6uqCzWaD3W6HQqFAPB7HyspKWRm6T4ODqEdWqxX5fB6dnZ2QSqXQ6/XIZrPY2dl5JAe6XCMc9HzofKNugq2trbzWkskklpaWytbR/TgsYk4qcZJJOae3t5ezeqFQCJOTk1XrxCbGQH+KO7kePnyY547b7cavfvWrqnZZFAfligN0x44dQ29vL2dkfvnLX1bksv04uOgzhoaG8M1vfhNqtRoffPABfvGLX5SVESvVbDYb/vzP/xwGgwGvv/46Xn/9dY4aVxpHWRQLSoGKi9vGx8fR09MDn8/H3a5CoRCUSiXzPqkHvUQi4aIWYD/9L47KPY5RxTLx7AjLoUOH4Ha7oVAoIJFIEAqFuFEHRXFXVlawt7fHLZcBFEQTHxcHRb6IszgxMYHe3l7moUmlUoTDYUgk+9JUIyMjsNvtmJiYwPb29kPpn1JviHQwx+Nxdvzv3LnDqXCJZL85RDQahV6vh81mw4kTJ6BUKvHhhx8+VDRSTvSJDvVEIsE8wdnZWUSjUVZAMJlMSKVSTMcZGxvj8XO5XAWpnHKw0GvFTTWWl5eRTqe54Km5uZkXf0dHB6udrK+vc4SfNtVysQD7UVN6RhsbG8jlckx76ezshFwuZwmtrq4upNNpTE9P8zyiC06pTWXE6WF6vdPp5DlsMBjQ09MDlUoFk8mE0dFRNDc3IxgMclMOOuCA8qMJhEVc7OZ2u6HT6aDT6dhRb2howKFDh2A0GrG7u4v5+XkkEglWnwDKo8AQFlIhAMAdL0mVhWT3KOshCAK2trawtrbG9AfCUom2tBSRBMCXvK2tLeZrU6GczWZDLBbD5OQkV3dTx0h6n3JN7PzTvreysoJQKIS2tja0trZCEATI5XJsbGzg9u3bTGmoJJZiSgCwf+ldX19nnrTdbkckEoFarWaZRvHFhdZzORE5wiF2SjOZDNPJ9vb20NnZyY751NQUZwAqiYOMaBX03pRRDYVCTKUgvv/09HQBzaOcIs5iK6YDiKPT1MGPMpt7e3tYXFx8qMirklgOel+SlTx27BjMZjOSySS2trZYGrEaWB6Fh4pvn3vuOVaVunXrFubm5go+v9JYit8bAAexvv/976O3txfZbBaXL19mBkC1sBTTceiC9+1vfxuHDx9GMpnEiy++iLW1tarhKJuDHAgEkMs96C6ztbWFDz/8EGq1mjcB6mSiUqnw67/+64jFYlhfX8fdu3exsbHBOrvlaP7m83kOs9Pnbm9v4/r169BqtZxuo+5Rer0ef/AHf4Dd3V3uYORyuZiKUA7HNR6PQy6X8wawt7eHyclJ6PV65hHSoWu32/GDH/wA29vbWFlZgcfjgcvl4tR/uYc70UiID+12u7GwsMDVyxRhXlhYwPHjx6HX6+F2u+F0OuH3+7mgDyj/EEulUqyXC+xz37a3t2GxWKBUKmE2m5HL5eBwONDU1MTasisrK6xYQIdJuYcHFfTQvA0EAvB6vbDZbKwdGw6H4fP5WDGCNu7t7W1ufQ2UvwjJEaQIKaXzQ6EQ9Ho9V9wD+4eJTqdjWTHi19N8LQcLUaLE+sFLS0uIRqOs/BKJRFjaTa1W4969e7h+/Tp8Ph93yiwXBwAutqD5n0qlWNvXbDbDarUikUhwRztBEDA7O4upqSmmMlUqAkUpeHq/aDSK7e1tJBIJlnNLJpPo6+uDyWRCLpfDlStXuOaAnKZKGDkwYixELTMYDNDpdLDb7bh48SJaW1sxNzeH69evszxVJbtbFUvYRaNRxONxxGIx1oo9e/YsTpw4AbPZjLfffhvr6+sFz7RSRvsqjXM8HkcikeCAi9frxfDwMDo7O6FQKOBwODjLQHtxJaw4Sk97Hp05brcbHR0dLL0Xi8WgVCoZd6VwEAZxVI3Ovnw+z04yFWXTBZloSmK6SiXxiC9TNJcpWEVdd4H9jBHJRlaKFlSMRVy8SJeHlpYWnDhxgls57+7uYm9vr6Jr+JNw0Wd1d3fjC1/4AhoaGrC3t4fXXnsNfr+/5IxyKVhojPr7+/Hcc89Bo9FgeXkZL730UtXbxB+EZWBgAH/4h38IjUaD69ev4+23365qi+2yHGTggWSW2CQSCYLB4ENefD6fR2NjI4aHh6FSqXD58mUsLCwU3KDLxRKJRApaQVLUWBzto8IAkvvx+/149dVXsbq6WpGHTlXlB+EgOTpgP/3W3NwMq9WKdDoNnU6Hvb09rK+vV+zwyOVyiMViD2EJh8NcxAfsp61JNowaQWxtbbHObCWMotn0vCkKGw6HoVKpsLu7C4lkXzCe0uf5/H7jFIfDgZ2dnYoeZMVYKNuh0Wiwu7uLfD6P1tZWbqVOLdKdTid8Pl/FDhCiCNFhns/nIZfLEQ6HodVq4XQ6IZFImDJEDTKmp6exs7NT0Jq8XEun0wVrgOYOaQ7L5XI8++yz3Fp5YWEB9+7dQyAQKLmw9VFGijBiLOScajQaLu5pbGyEIAi4du0a3G43N7yppNGaJizEtyVNaCoUpHn85ptvIh6PV6VYJZ/PFzwjOtyDwSB0Oh3a29vR0tKCTCaDq1evMtWDfr9SRvu7+HJGkcFcLscOu16vx97eHl544QVsbm5W5XAnLMXfkwInpJokl8uxtbWFX/7yl9jZ2ak4Foo0Fu8N9PMzZ87AZDIB2M8UkSRfNZ2M4uItKvj9whe+wEGJxcVFTE9Pw+PxVA3LQQWI5AiePHmSM8u/+tWvsL6+jlAoVDMsNHdPnz6NwcFByOVyxGIx/PjHP+YLd7VMHPkU+wbPPvss+vr6IJPJsL29jYmJiZpyjgmPIAj49re/je7ubuTzeVy+fJnriKo5b4vfW6fT4Qc/+AH6+/uRSqXwj//4j+zXVAtH2Q5y8e1bLDtCqV/6f6VSiS9+8YvQaDSIRqNYXFwsqLKtROrkUVhI+5EWQkNDAwuB53I5rK2tcRQCKI/oTenhg3Dk83nu3w7sN4VobW1FKBRCLBbjA+SgRVMqFvHiFmPJ5XJMdwDAjSmy2SzzSiuJhQojxVjEETH6LGpWQQV98/Pz2NnZqRitgbCI6QhiLBRpkUql3PEqlUphfX0dCwsLfIhUEwtFnpLJJEeZKKoai8Vw584dltCi15SLpXiukDJAJpNBMplEIBDgJi8ymQw+nw83b94siGBXci2LaRr0XLLZLEcpTSYTurq6oFKpsLm5ieXl5YLIcSXTfcWUEbraYXu9AAAgAElEQVRgAfup2fb2dgwNDUEqleKNN97gw70aG3fx3kQXrFQqBYVCgd7eXlgsFoRCIdy8ebMixYqPsuLvSHsfXSaGh4chkUi4QVK1rLiSn4yyMcQFDoVCGB8fZ8pJtXAUvzfRy2j9BAIBvPrqqwX1A5W2R1E18vk8S5tSsOR//ud/4PV6a45FIpFw1g7Yj/RT8Vc1OcgHFSDK5XJ0dnZCJpNx97zx8XFWr6glFq1Wi9HRUUilUkQiEVy5cgV+v7+qzvFBWCQSCRobG7kRnNPpxEsvvVRAxasVjt7eXpw4cQL5fB537tzBzZs3qx69LttBLrbiB0iOIpHySS3A6XTC4XAUtNas9JcVYyEnBNhfrBaLhdPJt2/f5na51TrQxH8XO4kknk+6xFTMWC0rxkLqEslkEocOHUI2m4XP52OucrU2KTEWGnMq6BQEgWkFVOWdSCQeav5QromftRhLPr/fTpnkzLq6uhAMBrGxscGcxuLFWw0s9HdqnnL48GE0NTVhfX0d9+/fZ4m+Ss3Z4vcpxpTNZqHX63Hu3DkYDAZcuXIFq6urBbJWlbKDHC8yctxNJhNOnToFpVKJ9957r6DS/KDvUyks9DPxhXp0dBQdHR0Ih8N49dVXy6KLPS4W4AElRaPR4OzZs9BoNLh//z7u3r1btUKaR2GhuTAwMICWlhZIJBLe24hLWOn58qj3o2xMf38/q1lMTU3xeFV6XD7uexE3PJPJYHZ2FleuXIFarYYgCFUpjnsUFoVCgZGREdZAXllZwdTUFAe0quGEHfSepKBx/vx57ga6tLQEl8vFGb1qnD8HzVupVIrBwUFcuHCBqZizs7NMB6zGnD0IC/GPn376ae7nEAgE8NZbb3EjJ3pdLbCoVCp897vfxbFjx5DNZjE5OYm7d++WLCdaCg4qav2jP/ojHDp0CMFgEH//93/P+301rXx9tY+x4sEeHByE1+vF1tYWZmdnOU1drUhLMRb6Ty6X4/z581w4QTI7dLhWEw+lSPL5fWm3CxcuwOv1Ynl5GR6Ph530auMoxkJFWKSMkEwmC55NrbDkcjkcOnQIJpMJLpcLGxsbB7ZSrnZqh5yKp59+GiqViiNgxNerNRatVovnn38eEokEH330Eba2tri4tRZGz7+zsxPnz59HKpXCpUuXuFitlkbR+wsXLqCtrQ07Ozv44Q9/CK/XWxHJyMfFYjAY8I1vfAMKhQJvvfUWbt++XXKxcblYqMtVOp3GCy+8AKfTWdX08KNwAMCFCxdY150aNdVKCkqMRalUsroH8RU/i3nS1tbGEUGn0wmDwcBUoUpcsj+tSSQSnDhxAslkklt/d3d3QxAEViKplen1epw6dYqbFPn9fm7mpdFouMCw2kYOcnd3N2KxGHZ3d7njLfGkK4nlUc+bMsznzp2DxWJBIBDA9evXsby8zNlvlUpVUSyPet4SiQQmkwlPPvkkU/1efPFF3ttIZKFS80Uulx84LtS978yZM6xffv369YLsIvVZqLTVbCXQQWIwGCCTyR6KCNbSstksOjs7IQgCd/6rJa8HeOD4DA8Pc2cusaZgLY0csKGhIajVaoTD4Yc6XdXCKK0+ODgIi8WCdDoNh8PBRYK1xiKRSHDhwgXm/M7OzlaVo/dxZjQa0dvbC7lcjr29PSwvL1eVo3eQyWQyjI2NwWw287Nxu901d8CAfc3sL33pS1Cr1dje3mYOdK3XMQC0tLTgyJEjAPaVc4guVOt5IpVKceTIEZjNZvj9fty8ebPgElxL0+l0GBsbY+3j2dlZTpvWEotEIsHIyAg6OzuRSqUwPj6O999//6EsULVNEAQ8//zzXDC+urrKmve1PAclkv1GLqdPn2b6IwVoqF9ArZx1qVSKgYEB1ubPZrO4ffs2nE4n0ul0yYo8pZhCocCpU6dgMBg40/Dhhx9yhq6SmTrg0UEVohhevHiRaSe3b99mzi+9tlZYBgYGcPz4cSgUCjidTty+fZvnSKWj2Y96HwqGDA4OQiaT4bXXXis4hymSXY31XNtrdN3qVre61a1udatb3er2ObeKc5A/zjQaDVQqFWKxGFpbW6HT6Q6sfK/2rVEqlUKn07HEmdlshkKheKgoqNpYtFotc26TySR0Ot1DjR6qxfMRm0QiQdf/dtIjGTZKndQ64iOXyzE0NMScV+It1mIcxEbppaamJm6esbW1VbGuW49jFGmRSCSIRqPweDxc3FNLLCqVCidOnEAmk4HL5YLb7eZ0Wy1xyGQyNDc3o7OzE7FYDPfv30coFGJaTC3nilKpxJkzZ6BWq5kSVLyP1AKLODIYj8cxMTEBn8/H/04ZkVrsJZRpoE5Xly9ffqhNby2wSKVSaLVanD17FplMBnfv3sUrr7wCh8PBeuu1wCKXy9Ha2gq73Q6/3w+Px4PNzU2WChR3Raz2GlIqlejv7+eMJcm9rayscOMqojBVG4tWq+WOoBqNBouLiwiFQgXFgpWetwe9F+31RqORqZazs7NIJpNcX0FztxZY+vr6uDB8Y2MD09PTfB4CKJi7lbBHPW+ZTMYqGpFIBK+88gpHsotrdiph1Emy+P1ov5dIJNjd3cXVq1cL6rSq6aPUzEEmIf2dnR0WzidCungx1OIwIcfY7/dzlX7xJKnF5t3U1MTaoblc7qHURS1wAPvpP9o0SZuTNHlr6WxQRXN7ezvru5K+bq2xyGQybvFJhwl1Oaw1FkEQMDIygnQ6Db/fj93dXSQSiQLliFo4PmazmZstLC8vIx6P1/ziAhR2uwoGg1hbW0M2m61oA4xPY5QOPXv2LJLJJNbX1wvaPtfyckmXqO7ubjidTrz77ruIx+O8t9aS46pUKnH69GkoFApMTk7i9ddfh8fj4cYUtZozUqkUZrMZg4ODSKVSWF1dxdbWFktwVlPdQ2wKhQLt7e1QKBTwer1YXV1ljexwOFzTeSIIAlQqFRwOB/x+P8LhMD744APuPlnLvV6lUiGRSGBubg5qtRpvvfUWXn755ariOOh9iWO8ubmJzc1NRCIRXLp0iS+7QHX2lIOwkF80NzeHcDiMV155BXfv3i0IJFZjbA5yuGUyGdxuN5aXl7G4uIhLly4hFosVfH41irPJaM+SyWTY3NyE0+nEP/zDPxwoFfl/2kEmbdvDhw9z1ymPx8Od0+hQqZTe7seZTCaDzWbjiLFSqWT5qng8zk5HNZUkgP2Nym63Y3t7G4IgIBQKIRgMQhAEZDIZHotaOD7U7GBhYQGZTIYPEWpzXc2FKTapVIrGxkZuyLG4uIidnR1uA17Lg0Qul8NkMmFxcRHpdBq3bt1CJBKpyRwVm0Qi4czCxMQEnE4n5ubmOLoB1OYSJZPJuE3u3bt3MTExgWAwyLJqtXSStVotjhw5ArlcjvX1dXaQa839lUql6OzsRFNTEwKBAG7fvs2atrVaM2QymQzt7e2IxWKYn5/nls5i7mQt104ul8PExAR+9KMfYXZ2tqYNDsjy+X0lhJWVFczPz+O1117D1tYWN7Sp1XhkMhm43W68+eabcLlcuHHjBrdOrzX/OJFIYH5+Hn/7t3+LaDSKtbU1pFKpimuYfxoskUgEt2/fxvXr17lT5mfBl5dIJNjb28N///d/4z/+4z+wt7fHl7lam0QiwZ07d/DXf/3X2NnZqar03sdhAPYvBe+++y62t7exsLBQlZqX4ssy/V3cIj2RSOCHP/whxsfH+bJQK6uZg6xSqRAKhTA7O4tsNoupqSmEw+GCdr+1MOoet7W1hampKSwuLnLKjfRvq21U/anRaLC6ugq3241r166xbFcmk6lpulqr1UKr1WJpaQlOpxNTU1Ocbqul8yOXy6FWq6FQKLC8vIwPP/yQaQ21FkhXqVTQ6/WIRqN8gxbLqtUy0mKxWGAwGLC9vY2PPvoILpcLsVispvNELpejvb0d8Xgc9+7dw5tvvgmPx1PQjawWJpFIOAq2s7OD9957D9euXUM4HK6qNudBOGQyGVQqFQKBAJxOJ15//XVsbW2xAkytTCqVQqFQIBaLYW5uDleuXMHc3FzNVCPEdDSZTAalUomlpSU4HA7cunWLpStrRTUhk8lkEAQB4+PjHB0U0whqhYPSxu+88w52d3f5YlmrtSvGQo7pzMwM66zX8rJASgNUsOlwOBCNRgsoBLUyMZZkMsk66rXc38nEqhSRSAT37t2r6XP5OCyTk5NV84se9f1oL6G/x2IxTE5O1rwIu2YOMrBfjen1ehEIBDA1NcV8H/Hv1WLjisfjeO+997CwsACn0wmPx1Pz6EY2m4XT6cSlS5eg1WoLNKFruSioQ9jk5CTGx8eRSqW4LXWtNwritr755ptYX19nCsxnwT9OJBLc5WpjYwNer5f/vZZOmFQqRSAQwOXLl5FIJOBwOBAOh2uWMifKD11afvSjH2F+fh67u7s1rXgHHjiCSqUSH3zwAT744IMCrm2tKTharRbJZBI/+9nPsLy8jJWVFSSTyc+EXiEIAhYWFrC1tYXFxUVO3YtbZFfLitOi2WwWN2/eRCKR4MhxrXitxWPu9Xrh8/m4C6M4QlVNLMVRsa2tLWSzWWQymQKN7Gpp/T4KSy6XY+UM0hMnq8X6EY+5VCotqB2otRGWXC7H9TefhUMqxkLP5bPCQesXAGsd1zqCXYyjVrTXA3E8zodKJJKSEcrlcgiCwOk36hT2aT4/n88/tHrKwaJUKqFQKADsT8h0Ov2powrFWErFIdYzpEgt/fdprJJjIpFIoNVqecN83IhtpbHo9Xrk83mOxD2Os1FpLCqVCvl8ng+3x1kvlcZCnSAJz+NYpeYt8HBnyMe02/l8/mSlsJTD16/0vlKO1bH838PyecFRx1LH8n8Vy+cFx6PscSPIHgAbjw8H5dAXOiuNJZlMlspjOQhLSTjy+Xw5zQQqOib5fJ5bFn8esFD3os8Dls/TMyqD/1yxeQuUXZhRUSxlRBUqvq+UYXUsB9vnHcvnBQdQx1LHcrB93rF8XnAcaI8VQa5b3epWt7rVrW51q1vd/r9u9UYhdatb3epWt7rVrW51q5vI6g5y3epWt7rVrW51q1vd6iayuoNct7rVrW51q1vd6la3uoms7iDXrW51q1vd6la3utWtbiJ7LBWLz5Mkx+cFy+cFRx1LHcvjYPmscADw5PN56+cBy+f5+dSxfP6xfF5w1LHUsfxfxfJ5wfEoq0eQ61a3utXSai3p8/8r+ywaLjzKPglLrZvMfNzn1QoL4XjU59VyTGQy2ediTIBPHhfqelcLowZNhKUY02eBhZ5V8WfTz2vxrOhzZDIZ5HI595Kgf6slFqCwcZT4Z3K5nHGUi6UmnfTqVre61a1u1bfPk2wnYRG3oj7o32thpN39qCY3tcJCjX7IASvuVlrrMcnn8wWOV63bPZPROJCjJe4A+Vm0fqbufuRwEYZatzoGHrRdlkqlBQ5ycXOzanfgo/eXy+XshMpksgPHpppYaD9RKBRQqVQFHRHp38RYysFRd5A/Q/ssW0oWWx3LwTgkEknN26E/Dhagtofq5wWHGIvY4fmssJDDI26LKsZXSzwymQwymYwbMxWPi9hxrfaBSh1Uk8kkH6LiOVQrLFKpFCqVCkqlkltOZzKZgudGz67ah7tSqYRKpeJxCIVCBWMidlKr/XxkMhkUCgX6+/vR3t6Oa9eucSts6h5Kv1tN55C+v0KhwNGjR/Hbv/3beOedd3D//n3E43FEIhGkUin+3Wo68rRWpFIpTCYTfuu3fguCIGB2dha7u7vY3NzkMaLus9UyutDR/L148SLOnDkDn8+H+fl53Lx5E9FolH+/xAZon8rIGZbJZACA3t5efPOb34TFYsH9+/fx8ssvIxAIAHjQZKsa85c+Xy6XI51Ow2Aw4Omnn0ZLSwvkcjneeust7O3tAdifw+FwuGQcVXOQ6aZDG6JKpeKHRxtnKpWqycEh3gQlEgk0Gg1isRgvSsJS7dshpSCo97tWq0U4HGaMCoUCiUSiJrdUupHmcjnI5XLodDoEg0HGIggC4vF4wUZUrYODsAAPboV0aEilUiiVSsRisYJOjNXAIk5n0fOQy+WIRCJ8mNABK247XW0sSqUScvn+Uo1GowVYYrFYwTqiDbVSeA7CkcvlEI/H+d9UKhXi8XgBjmo5hrSGFAoFr+tUKsVrWalUIpVKFaxnmueVxiKeszRG6XSan4FCoUA2my3AUuwYVsroUFepVJDL5ZDJZEgmkxyJo0OFWskT/hK7m34qPGq1GoIgQBAEfj7klEqlUqRSqQIHrJpYtFottFptwbxJJBL8nNLpNJ9PpbRy/7Q4NBoNBEGAWq1Ge3s7jEYj5ufn4fF4oFAokMvlEIvFGEe1xgQA1Go1P6dvfetbOHXqFKxWKy5dugSZTIZcLscdVsUXiGoYrWutVovvf//7eP7553Hu3Dn81V/9FXZ2duD1evl8ymazVVlDYqM9tr+/H7/5m7+J3t5ejI+P46233kIsFoPX6wXwoENwtbCIx1yr1WJgYADf/OY3kUgk8Morr8DhcGBnZwfAvnNcTZ+K1i5FkU0mE7761a+iu7sb09PTmJ6exvr6OoD9c6qMLrQfa9lslvd9AIjFYrDb7fizP/szeL1erK2t8folh71UK8tBpk1Z7ODQIOp0OiiVSt6Y9Xo9IpEIZDIZdDodotEoXC7XQ4cqUNqtWXzrE4fZCYtOp+NUiU6nQzweh1QqZSd1Z2eHb4X0fqUc8B+HQ6/Xo6mpiTdktVqNRCIBmUwGlUqFcDiM7e3tgptXOY6GmEMlvrAQlubmZn5eDQ0NPCaCICAUCmFrawuxWOwh56uUjZK+BzkSwIPUkU6ng81m4/c1Go1IJBIcfQqFQnA4HIhEIg9hKeUgOwgLRVKUSiVaW1sB7C9EnU6HTCbDzmEgEIDD4UAoFCrAQgdIKfNFnFoE9h0ucs47Ojo4IkjPUBAEyGQyBINBOBwOBAIBHjs62IrTb4+DQzxv5HI5VCoVrFYr5HI5lEollEolcrkcBEGAVCpFLBaD0+mE3+/n5yF2BB93voixiE0mk0GtVsNoNCKfz0OpVEKr1fJzlMlkSKVS8Hg88Hq9HNkR7yvlYBGvSbq4aTQaxmIwGKDT6SCTyZDNZpFOpxEMBuH1enlvoXlXSSx0YaA9V6PRQKVSMZZkMol4PI5kMgmv18tOD2EBHr99+KOwAOA5o1arYTAY0NDQAJ1Oh/z/trSniJfY6aF9qRwsB/2cnpNOp0NTUxPMZjPMZjMikQi8Xi8CgQCUSiUCgQA8Hg+A/XVfCpaPuyjThVutVsNkMuHQoUN46qmneI+bmZmBIAh8uQPAl61SxuSTcBKHVKvVYnBwECMjI7Db7ejq6kJLSwsSiQSkUinP21QqVTUsNG5qtRpHjx7F0NAQVCoV9Ho9hoaGEAqFAIDnbSaTOTCTVSmjdWG32/H000+jra0NZrMZAwMDePvtt9HY2MiOF41LtRx2WmNqtRotLS04c+YM2traEAqFEI/H0djYiN3dXQAP5m01sdA6VSqVOH/+PIaHhyEIAhQKBSwWCzY29ktMMpkM74OVxlKcMdRqtfje976H7u5uZLNZmEwm/p10Ol0WjrIdZIo+ajQa/rnFYkF3dzf0ej2MRiOA/UWVTqeRTqcRjUaxurqKcDjMURbx75TqDMrlcmg0GqjVan4/k8mEgYEBmM1mNDU1cdQkmUxy+H11dRWRSARKpZJv7BT5eVwHjHCo1Woek0wmA4vFgiNHjsBqtcJgMECpVCKbzfKipzFJJBKIxWL8uel0GolEoqRIghgLEeqz2SxsNhtOnToFg8FQMGbBYBDZbBbJZBJbW1scQaDPJmylOsgUOVGpVAD2J7jdbsfw8DD0ej3MZjM7huFwGFKpFOl0Gi6Xi51TwhKLxRAOh0t2kCnNqdPpAAAajQbt7e1oampCU1MTDAYDY6TDQiKRwOfzQa/XY29vj7GEw2EEg8GSxoUOTkEQGItOp0NLSwuUSiV6enpgNpshCAK/fzwehyAIiEQiWFhYgMPh4IMsGAzyc3xcHIIgFBRfyGQy2Gw2tLS0YHBwEA0NDQWOejweh0ajQTKZxPz8PJaXlzkjEggEEAqFSpq3YixkEokEjY2NsNvt6OzsRFdXFzQaDR8GyWQSJpMJAHD//n3MzMxwlCcYDCIajZY0V+gwEBc0SaVSNDU1wWg0orW1FXa7HUajEYIg8OWONul79+7hww8/hMvlAgCEQqGCS2cp4yK+OMjlcjQ3N8NkMqGrqwtNTU2w2+1IpVJoaGhALpeD0WhELpfD/fv3cfXqVWxtbQHYdzhKTYMSFuABb5VS0jabDUNDQzAajWhpaUE2m4XFYkEymYTRaEQmk8HS0hKuXbuGtbU1APv7H0V0S8FCwQ/xGhQEARaLBSdPnkRHRwd6e3sRj8fR3t4Ov9+PhoYGhEIhLC8v4/r163yhKhUL7bfF/EfKoA4MDMBms2FsbAyHDh3Cr/3ar8Hn8+HMmTOYnJzE3NwcJicn+QIRi8VKHhO6cIuDK+KMitlshsViwcjICC5cuIBTp04hk8ng6aefhlQqxczMDJaWlnivlkgkJc8V8aVb7NzQnxScaGpqwvnz59HT04NEIgGdTofz588jEAhgcnKyoCisnIj2p8my0Rq/cOEC1Go1MpkMn8uUUQTA53ipWcRPExSkOXT+/Hn09fUhn8/D7XZjdXUVOzs7vP5UKhVHs6uJJZlMorm5GefPnwcA+Hw+vP3225ifn+fsh0ql4sxZqVg+CQcFrp555hkcOnQI0WgUb7/9Nm7evAm/3w8AHIQsFUddxaJudatb3epWt7rVrW51E1lZEWSx3MfIyAgA4Etf+hJHbOVyOe7evYvGxkbIZDK43W5IJBLEYjEMDw/jpz/9KdxuN3NVksnkQ2nVT2uUZlUoFOjs7AQAPPHEE5yyEQQBH330ESwWC+RyOdxuN+RyOZLJJPr6+pBIJLC7u/tQGqcUHBRdaW5uBgAcPXoUJ0+exNjYGGQyGS5fvoyOjg40NDTA4/EwH661tRXZbBY7OzuceqR0W6ljQhFKiuQPDw9jbGwMTz75JLLZLO7duwej0YjGxkYsLy9zathisUAikWBvb4+jX+VwiiiioVarodVqAQBdXV0YHR3FuXPnoFKp+Pap1WqxtLQEYD86ZbVaoVKp4HK5OIVDz6kcLFqtlqP83d3dGBoawtGjR2G32zklLZFIsLGxwZEUitZtbm5ifn4ewH60tJxbu0wm47Q4ADQ1NaGtrQ2jo6M4cuQIkskkRzBCoRBzFfP5PJqamrC+vo6ZmRkAgN/vL5kaJJVKodFoOJJtNBrR3d2Ns2fP4uTJk0in00ilUvD5fIhGoxxZzWazHN2dmpoCAJ6/pY6JVCrldDQANDQ0wGazYXh4GKdPn4bdbgcAOBwOxGIxKBQKNDQ0IJ/Pc6R7enoaADiqXQ4WpVKJtrY2APtzwGKxoL29HWfOnOFo8u7uLlKpFCKRCJqbmyGRSDhKSdFJqn0oJxInCALMZjMAoLOzE62trWhvb8fQ0BA6OzthtVqxvLyMdDqNbDaLnp4eyGQyGAwGpioB+/stza1SsADgDBUAmEwmWK1WDAwM4MiRI+jr60NjYyP29vY48jYyMgK5XA6DwYD79+8zrYH40qViob2OcAmCwHQpo9GIkydPwmazIRKJwGw2I5/P4/jx48zPvnnzJq+/UrEQBjEOyrbodDrEYjF0dXVheHgYw8PDaGpqQiqVQk9PD2w2G9xuN1Pu6LXEa39cIwxi1Q4xtSwcDsNut2NkZARnzpyB0WjE2toatFoturq6cOvWLd7XyErFUkzxAwrXIj2D9vZ2nD59umAtRaNR5iCLM81EJSgFSzE9o3gtEmVqdHQU/f39yGazcLlcuHnzJlZXV+HxeHhulIOF8ByEofh3mpub8Y1vfANmsxlerxdXrlzBysoKXC5XQWaMag6qVS9EeGjfCQQCuHHjBn71q19hZ2engOpHz/xxsTyO36VSqfCd73wHCoUC6+vreOedd+B0OguyJqXiAMpwkCUSCQwGA0wmExobG3Hs2DEAwOHDh9Hd3Q2/3w+3243NzU243W40NTXB4XDAarWip6eHD1/i0pT6Bcg0Gg20Wi3MZjO6uroAAENDQxgYGAAAbG5uYn19HS6XC3a7HU6nE3a7HR0dHVCr1ejq6kI4HOb0VqlYKHVvMBhgsVgAAB0dHejv74dSqcTq6iq2trYQCATQ0tICv98Pm82GpqYmAEBLSwui0Sg7GEDplcxUIKPRaNDQ0ABg/3A/cuQIzGYzFhYWsLq6inQ6jaamJuzt7aGjowNmsxlSqRQ2mw2pVIqLAMopuiLuqlqtZgfMZrNhZGQEJpMJLpcLCwsLiEQiMBgMcLlc6OnpgcFgQDKZRFNTE9LpNKdky8VCdA9ykGlc7HY7EokEZmZmmNsbDocxODjIlJTm5uaCNHk5nC86yBsaGvji0NbWhiNHjqCrqwtKpRIzMzPY3d1FIBCAIAgYGhriAiitVssXi3Kw0FwR06Kam5tx7NgxjI6OQqvV4t69e9je3sbm5ibjIHqOWq2Gx+MpOMRKHROi2Wg0GnaQm5ubcfjwYRw/fhw2mw0ejwcejwdzc3PI5XLo7e2FRqOBXq+H1WqFXq9/CEtJHLT/pXkolUrG0tjYiJ6eHhw7doxTe263G/fv30cgEIDZbIZer0djYyPMZjPUajUXgJXDyRNXkZNTSodhW1sb0068Xi8WFhbgdDr5QtfS0gKDwcA8bQBlFReJnQJKfWcyGcTjcajVanR0dMBms2FnZwe3bt2Cx+OB3W5HS0sLWlpaCpzRcsdFIpEw/5KeF130jUYjLly4gJGREayuruLmzZuQSCTQ6/VM7SLHj2hKpdL8gAcHshgH/ezQoUM4evQoDAYD1tfXsbm5iXw+j1OnTiGZTGJ3dxeJRILHpNziL/pcsRNGNBSFQiBPalAAACAASURBVIHh4WE8+eSTaGpqgsvlwvr6Oux2OzKZDLxeLxd9VQrLoxwfKl48e/Ysuru7mbsvk8mwu7sLh8OBZDLJzjnNlVLxfNLriH88NjYGhUKBTCaDbDaLzc1NbG1tIZVKMZZyxuTT+hhKpRLDw8Nob2+HSqVCMBjE6uoqnE4nz/Pi71ZN51ipVOLrX/86bDYbMpkMFhcXsbq6imw2y3uu+HL5uFg+7e9LJBIcPnwYJ06cgFwux/z8PGZmZgpwiPeVmnOQ5XI5zGYzhoaGcO7cOQDgw3t9fR1TU1MM2G638wFMEZcTJ05ga2uLb8yhUAihUKikIg2KZjc2NuLo0aMAgBMnTsBkMmFpaQm3b9/GvXv3kE6nYbfbmX9qsVig0Whw5MgR5uYBgMfjeezbsvhmqlQqOcp19OhRNDY2wuPxYGpqCmtra0gmk7BarTAajVCr1Th06BCkUil6enqwt7fHTg9F7Url2tLBQRGnwcFB2Gw2+P1+TE9P4969e4jH49Dr9WhoaEBjYyPa2tp4k/B4POzoEzevVKPxpPcjTl4kEsH29jbu3buHcDjMUSmLxYLGxkYolUqO8BM3mCJPpVg+n0c6nWaOOrAftVWr1QiFQtjb28P09DR8Ph8X6pnNZi7CAh5UxgMPnKhSL1W0mZCzrtPpmKu5sbGB27dvY2dnB/F4HAaDARqNBh0dHTAYDHwAksNU6m2ZCh5JlQLYjwg2NTUx3/u9997D+vo6AoEAdDodpFIpuru70dHRwZELGoviqNXjGB3ipJwB7Eez+/r6oNFoEAqF8P7772NpaQm7u7uQy+VIJBIYGRlBQ0NDAVcReBC1KhULOaX0Wrlcjq6uLpjNZsTjcVy/fh2bm5tYWVlBNBpFb28vF55Sdkhc21CqERa5XM7vk0gkoNVqmWc8Pj6Oubk5rK+vw+/3o7u7G52dnejs7EQqlUIwGCyQ8SoHCxUH0v6tVCrR1NSExsZGJBIJTE1N4erVq9jY2EAqlcLIyAgX71AAhfa5ctQaxDxfevaUUWhra0MymcTs7CyuXr2K5eVlyGQyHD16FPl8HqlUCsvLy/B6vYxFXGj6uGuICr9p3lKGtbm5GVqtFvF4nPnxwWAQzz77LJxOJ/b29rCwsPDQ8ykuhHwcLFT8TXuCXC5HJpPh4MDY2Bj0ej3i8ThWV1ehVqvh9XrhdDqxvb2NaDTKDjLNvVL3OMpkiuccXe5kMhkGBgY4Q+NyuSCTyeByubC9vQ2Px1PgIBOecjIxlPmi9xLvEQaDAX19fejp6eFAiM/nQyKRQCQSKVCCERc0l4KHoutiLGKTy+XMhaasRjAYRDqdZpWpYqWpUrCIX/eofYHW+/DwME6ePIlMJgOPx4OdnR1EIpGHJAopm/I4Dqr4EvVJUfWGhgb8xV/8BQBgZ2cH169fh8/nK3iedEmkNUA/+7RWsoNMCyYYDGJnZ4cnjMPhgNfrxdWrVzExMQGv1wudTgeTyQSLxQK73Q6tVgu9Xg+TycQ0BwDstJSChV4fjUbZiXE6nZifn8fk5CRu3rzJB7vRaITZbIbRaOQ0u8lkgiAIvDllMpnHxkKLNpfLIZVKsSMYDocxPz+PpaUljI+PY3d3FxqNBtlsFhqNBlarFY2NjVCpVExNEVcPl3OQ5XI5LhIEwJXJLpcLc3NzcDgcLAvV0NAAjUYDs9nMY0XOKWEpp2qYCgApQkmSR4FAAEtLS0yr0Gg0/DsGgwGhUIijzzRXkslkWWmtbDbLhSDAvjNoMBgQiUSwsrLCkQLCHYvFuPCAnhPNecJS6q2d6BPkIJvNZjQ0NCCZTOLu3bvY2Nhg1QxSIujr6wOwX4Sg1+v58CgHC0UAaTMxGAysrjIzM4O5uTl4vV5kMhlEIhHs7u5icHAQWq2WD+PiuVLqmNBcoeetUCiQTCaxs7OD+fl5TE1NcXGiXC6H3W7H4cOHWdWCNDIBMNWgFCy02dJ3JmyRSAQOhwMbGxuYnJzE/Pw8IpEIpFIpq2yQQ5JKpQr2uHKwUHEKjbNGo4FCoYDP58PGxgbGx8cxPz/P1dvd3d0QBAHpdBo7OzsIh8MFEcpS9xYaF7FWbiqVglqthlQqhc/nw/T0NG7cuIFEIgGj0Qi73Q6dTodIJIK7d+8iEAgURChLxUL7gFgDloIU+XyeL+Bzc3MIhUJobm5Gb28vAGBpaQkffvghgsEgf49S9n4ak2w2W0BFSyQSHNU3Go3weDws5WY2m9HT04N4PI533nkHi4uLBQXaFH0uxQhLMpnkSyvJIabTaZY2NRgMHMDSarWYmJjAG2+8gb29vYcK/MrFQucj/YzeVyqVorGxESdOnIDRaIRCoUAkEsH4+DjeeecdlvwUO1qVwCL+mfj9tVotvvSlL6G7uxs2mw3hcBhzc3O4cuUKotHoQ04fRcdLvXx/XDRcEASMjIxgbGwMNpsN0WgU09PTeP3113m/EWMp50L1Sa+hQMxv/MZv4NixY4jH47h27Rr+67/+68BxKYXq8Wl/VyaT4cknn8SXv/xlpNNpvPrqq/jJT37yiThqSrGgqC3xpwCwfM7m5iZ2d3fh9XoRj8dhtVo5EqdQKLC3t4dwOIxAIMAcQRJwLwWLQqGARqNBc3Mzb7perxfRaBQejweRSAQejwepVArNzc2IRqMcnQwEAqxtSPItJC3zuEaKBMThBcAasRSRpO8rk8kgCAK6urpgNBp5g/f7/fz59LulYiGZO9okc7kctre3sbKygmQyyU6i2WyGyWRibc5kMgmlUgm/3890j3KwkAwXSU/Rz/x+P7a2thAKhRCJRKDVatHQ0ACj0Yi2tjamWCiVSng8Hvh8PgClzxUxFo1Gw5EejUaDcDiMra0tjuKQsoRWq0VnZycsFgtXchMvrlwscrmcOa4UuTWbzawkQhJhpOqg0WhYOYGiZTs7O1y1W45CAkW7aExMJhNSqRS2t7cLuKt0WWlubuZIKkWeaN6WKxJPt36x9F0oFILb7WaqB3FFad13dXVBp9OxmD/N13LF82lzJQcqnU7D6/XC5XJhdnYWy8vLCAaDkMvl0Ov1GBwcRG9vL6RSKZaXl7GxsVGQESrVxClyMroI7O7uYmlpiR11nU4Hu92OJ598Er29vYjFYrh27RrLSIqxlPKcyLHJZDK8t5BKUTKZhNPpxNLSEqRSKZqbmzE6Ooovf/nL6OrqwtLSEt577z1O4wN4ZATtccaFJCuBBxFpulQvLy8zZejIkSM4e/YstFot3n//fczNzXFkkL5bKVjo90klib4Xzc8jR45w/U1PTw/6+vpgNpvhdDqxvLzMGMTUoHLGhD6fLJvNMp1rbGyML/6RSAQ2m43nEikjiJ3iSmAplvKjDFFLSwtzj0OhENcs+f1+eL1edkCLMZSzvxzkIFPt0OnTp/HEE09Ao9Fww52ZmRl4PB5ef8UYygkcPep7SCQSdHR04Lvf/S4OHToEuVyOaDSK1157jbEUf49ysXycKZVKPPfcc/i93/s9KJVK7O3t4cUXX+Soba2wSKVSDA8P42/+5m+gVCrhcrnwn//5n6wkdVAUulQcZTnI0WiUOW1OpxMAuAiD9DiB/Y4r/f396OjoYEqDXq/nlEUlBpEcg0wmw05Uf38/L0KNRoOWlhYMDAxgcHAQVquVqR6UhiqWDSslXRKPxwtk0YB9/mQul2NaR2dnJwYGBjA8PIyWlhZO3yuVSiwsLCCRSFSkmxIVfFAkC9jnT5JgPqXqBwYG0N/fj6amJrS2tvJlxufzPRTBLhVLKpXieUGm1+tZrF4QBHR0dKCjowPt7e2w2Wzo6+tDW1sbGhoa8NFHHyEcDhdskqViSSaT/P3F6WFKAebzebS2tsJsNkOlUqG1tRVDQ0Po7u5GNBrlFKnYwSjnGVFzFJLNomYPdEhZLBaeo+3t7RgeHkZXVxdSqRQWFxfhcrkKtG1LwUIRX7G8GqX+MpkM0uk0dDodczY7Ojpw9OhR9PT0AACWl5exu7tbUBBX6pgQB1ScFqOCHcIil8vR0NAAlUqF7u5uHD9+HIODg8hms3C73XA6nRXBclBTjVAoBL/fD7lczmlOnU4Hg8GAw4cP49y5cxgcHITX68XOzg58Ph87peVgEaf+xfgo0h6PxyGXy6HVatHY2IgzZ87gzJkzaGlpwcTEBLa3tx+SjCwVizhyJqYYUSSYqBREwzt37hw6Ozu5II4K98pxvMRYxE6O+OfEnaWorcViwalTp9DU1ISdnR1cunSJO22Vi4VeVxztTKfTfPFMpVLsJJ84cQKJRAI3btzA1NQUB3YqMSbi1xdHO5VKJTo7O9HW1oZ4PI6GhgY0NTXB7XZjYmICu7u7XKReyYYpB3GQBUFAe3s77HY7d0Ujp2d8fJz3fLGDXC2jwmC73c6Uw1wuB4fDgRs3bnB2rpyivE9rFIC02+0YGBiAwWBALBbDnTt3MDk5WTCvq42F8BiNRu6cFwqF8MEHH2B+fr5A774WWKixjc1mg8/nw5tvvgmHw1EQQKgUjrIoFolEAlarFeFwmFv7XbhwAWazGblcjjl4BoOBVQEoUruysoKVlRUAhbxJeu/HtWQyiYaGBqRSKY4CkxMci8XQ2dkJQRBgMpkKOqPRjXl1dbUgBVQKFtoMtVotjw+w75QKgoBwOIyOjg7k83k0NjbyoUl9zQOBAHw+30Oaq6WmqtPpNNMY6P2MRiNHZwmD3W5HNpvlhhC0GJPJJDuQ5WLJZDIFnawAcCMBo9GIixcvIhAIoLGxEcC+aoGY50nFK+Iq2VJT1ZlMhqPqYu4ZFcyNjY2xjnc6neaiLKvVimw2i2AwyJeHSmDRarUFlxi6IJE6THNzM+s5Njc3Y2BgACaTCV6vF7u7u8wXBEp/RplMhi+0Yk1lo9EIiUSCwcFBNDY2QqPRIJVK8SVPpVIhEAhgbW0NW1tbBUWuQOnRSbos0Pv5fD6YTCZIpVJ0dXUxzYVoBP39/cjlctjb28Pk5CRcLldB8W+pWPL5PKuG0Pt5vV5WbGhpaQGwz2GnyFxfXx9zWycnJ+H3+wsix6VyJwmL2HERBycMBgP6+/shCAKsVivOnTuHlpYWRCIRTExMwOFwVKw7Zj6f54Y1ZLTHeTweqNVq9Pb2wmg0ckROp9NhcXGRu5GJqQzlVt0TTUxcVCmRSBCJRBCLxTA0NIRAIICLFy+is7MT6XQaV69exf379x/iP5eDhbJThEMQhALd+6NHj3LNC2U7Ll++DL/fz85XuY5xMRZ6RoSlpaUFCoUC7e3tnAGWSqXY2trCzMxMWcpJjzKxwgcAvsjZ7XZ20IH9TF4ikcCdO3ewurpalU6CdJESn/WCIBQ0J6Eghcfjwfvvvw+3212x51KMRXxxoAsn+SfU3VChUGB5eRmvvPLKQ+oilcZzEDaJRIJnnnkGZ8+ehUqlwvT0NH76058WFIhXy4ovVqdPn8Z3v/tdGAwG3LhxAz//+c8LmkJVcmzKcpCJKL63t8fp3uvXr2NoaAj5fJ6Ld8iZIEdULE3U2NjIi0bcRehxsVDLx0AgwHSP8fFxDA4OQhAEdHd3Q6FQIBaLQRAEVoro7+/nhWEymXjDTiQSJaVD6fBJJpOcbr5x4wZGR0e58IxuOHK5nKPdarWaD2HqEAagpKYPZHTzpqgFAExMTODo0aNQqVSwWCzMqaUUNnUGczgcWF9fZzFuoLzJR5u/uFr8zp07APYPM7PZjMbGRthsNu4oZbVauZJ5e3ubI4dk5WChcaH5Njs7y+l6g8HA8lCUluzo6OBKWbfbzXw+wlEuFnH1+srKCmc9DAYDurq6IAgCkskkLBYLenp6IJfLWSFGvEmVioVeI573TqeTC46am5tZLiwej6O/vx/9/f2QSqVYWVnB5uYmS5gVv2epWMScd4/Hw7ULVqsVFosFUul+u+LR0VEMDg4il8thdnYWLperIN1ezvOh14mVDYiuRY0xxAVilCkj3iIFDshJKVcNgPY6sYNMVDVqVkIqOm1tbdBoNNjY2MBHH31UEBgAylMaIRNjof1rd3cXVquVu4WSWkwymcTExATW1tb4+dB6LtcRIq6hmFoRj8eZGkSZy1gshnQ6ja2tLVy/fp2pQGJHstyoKcmWAeCo8fb2Njtihw4dQjAYhCAIuHXrFtdekENSyecjfj0FhEi6M5PJMAc5GAzigw8+4HlN+1KlxoSw0P5AWOiMpIJsYJ9ieOXKFcRiMS6OFWcHKhEdFGeoxNJo3d3dOHHiBAf3PB4P3n77be6YJ84S0PtUwoqLyDQaDfr6+vD888/Dbrcjn8/j/v37uHz5ckE7+2pjAfYzmu3t7fje976HpqYm5HI5fPDBB7h69WpB++lKYim+OADgYtc//dM/RWtrK9LpNN566y189NFHvIYfxXUv1cpSscjn8/B6vVAoFBy1XVhYYP6buPAhGAzyof/EE09AIpGgpaWloG1juVXVgUCAN0bCQrJv4XAY6XQagiDA7/dzUVpnZyfrM2s0Go7GlLph5/MP2qnSxre+vo7m5mb09fUhHo8jEomwYoIgCBgYGOB0LKXLiVNabnU3KU+QfvDW1hamp6cxNDSETCaDaDQKlUrFvMWhoSFsbm5ienoa9+/fh8vlYsWIcrFQNMfhcDCWlZUVjI6Ocmrf5/PxAdvX18eFluvr69jb22Peb7kHaiQS4eIdYL9y2uVyYXR0FLFYDEajEdFoFNvb2xgbG4NSqYTb7cbS0hJWV1fhcrmYm13u4UHca7rYUSHVwMAAH9x+vx9+vx/t7e3Q6XTw+/1YXl7G/fv3CyLI5RweVIhIhxbRGTo7O3ntkm53a2srdDodgsEgZmdnMTk5CafTyWuv3EOM6AL0vaiosrm5GdlsFlqtFl6vlx13rVbLadm7d+/yJQYof5OkTop0gcnlclhfX0csFuPLicvlwtjYGNrb2yEIAtbW1vDLX/6SHTSar+VioYsZBSSoMx/JI2YyGZY2a29vRyKRwJUrV7gQrVK0BuDBpUGsQhSJRBAMBuF2u6FSqTA6OoozZ87AZrNhamoKb731FqfwD+Jylmp08aDDPRgMIhQKIRAI8KH+ta99DSdPnoTVasVLL72E+fl5xONxLsIkKwcLHdD0ftFoFLFYjItfA4EARkdH0dnZCYVCgTt37iAajXKBeqVwiLHQmJBsGznE8XgcNpsNarUakUgE8/PzvObLuVQeZMXUBHHhq0qlYiUWCnQtLS0xp11MoamEFc85opOkUimmr+l0Oi6uXV9fL8BSSTuIBkMZoosXL2JkZITP5zt37sDtdrNyRbWiyMXYAODJJ5/EiRMnIAgCHA4HfvKTn3DheLVpFTQmcrkcX/nKV/DUU09BEATcvXsXL7zwAp9XlaQDkZXlIAPgG6k4FK9QKLCwsPCQxAalcO12O/x+P1ZWVnDv3j12Bssd6HQ6zU4GsH8T2t7exszMDG/kFLGgtFdzczN8Ph8WFha4WKNcozERTzCHw4GJiQkeD7lcDrlcjvb2duj1ethsNqyurmJpaQnLy8tlyakVY/F4PBzJyufz2N7exvT0NB+yKpUKKpUKY2NjLN+lVCo5ilyplBvxw8nhzuVycLlcuHfvHitmaDQayOVyPP3005xmd7vdWFxcZLmoSlg2m2VZQTKPx4OVlRWYzWbmJysUChw/fpwVTjY2NjA7OwuHw1FWwZXY6CJDGs9SqRR+vx/r6+swmUxQKBRIp9OwWq14/vnnWVlkdXWVI9qVivAkEgm+NEilUng8HjidTm53nUwmMTIyAr1eD0EQ4PV6cePGDaysrPCGWSmjuQs80N8kOgc5ZaS3KwgCVlZWcOXKFXbUK4mF5gvwQEIrGo1ic3OTdYm/8Y1voLGxEZlMBq+99hqrJpQbNRYbZXHIMRdnQyiTJ5fLcfz4cahUKiwsLOCll16C3+8vWZ3hk/DQmhTLk6XTadhsNrS3t2N0dBSJRAIvvvgirl+/jmQyWXEHjCJOYjUXYP9ZqdVqmM1m9Pb2oqGhAbOzs/i3f/s3LCwsVPTZiHEUX4jo7Dl79izLmV2/fh0vv/wyNjY2quLwFMt20bOnFvYXLlyA0WhEPB7He++9h/Hx8YLWxZXGIsZA81YqleL06dNM1wqHw3j55ZcxNzfHRVdklVxD4mwoYVGr1XjuueeYchKLxfBP//RP8Pl8JRc/Py4W+tNkMuE73/kOqzltb2/jF7/4RU2cY/G4SKVSWK1W/PEf/zEsFguy2Sxef/11pqTWgnNMDnJXVxf+5E/+BBaLBbFYDH/3d38Hl8tVVRxlO8hibh4ALlwBHjjLNNAkBp7NZrG3t4elpaWyuucdhEWcbpbL5fz/VKFKWAwGA86ePYtcLoednR0sLy+X3D2v2MRKFWIclLLSaDTI5fbF2vv6+jA8PAxgX41gbW3toWrfchZDLpcrcALp+VC6T6/XM7XCZDKhra2NdSepS08xH7pUo8gFfR+FQoHd3V243W4olUrWODYajVz0lM/n4XK5uEuPOP1YLhbxuAiCgO3tbezs7DAWmUyGtra2AtnAmZkZbG1tVRyLeL4IgsCNBEgxggpbDQYD0uk05ufncevWLc54VALLo9YyOV4KhQIGgwGjo6NQKpWIRCK4du0apqamWIpJnNoqZ0xyuX2pRLGDkUgkEI1GeR01NTVxox+Px4NLly5hcXERiUTiISyVoDWIeW7AgwiqUqlEb28vR1gmJyfx7rvvFmTQKkE9ISuONAL70VtSrKEGSdFoFC+++CI2NjYKHMFKYaGDvViBgqKy3d3deOaZZ2AwGDA1NYVbt25VxTkGHnSOK8aSSqU489Db24twOIwXXngBu7u7VXEED8JB/y+TybiT6+rqKv75n/8ZPp+vKpFJMRZxxoDWBQUkcrkcNjc38a//+q8IBAJV4fwehIVMqVTCarXyv21sbODHP/4xotFoVZ7Po7BIJBKYTCbusphKpfDhhx/izTffLEtS9NNgAQrXIfVDIG3zSCSCn/3sZ3A4HBWh3XwcFrGzTvssUU4ymQyWl5fxwgsvIJFIVB2HuD5BoVDgy1/+Mmw2G5LJJMbHx3Hz5s2qjgdQAQe52MQLTCKR8IZIqhddXV2wWq1YXV1lCatKLgTxYBULi1NUiThH1KgjmUwiGAxWdCF8HA5yhqhQgSJz8/Pz8Pv9BVHSSnDQxO9R/N7pdJo3cCraiMfjzFksfp7lYhE/a7H8Fml2kkze4OAgZDIZwuEwpqamuKinkljE7yd2ZEgxgeTdent7uZhzdnaWHYBKWbFTK3bE4vE4Sx+1t7ejubkZkUgECwsLmJ2drehGRU4pGf2dNkqZTAaj0YinnnoKFosFd+/exfvvvw+n0/lQJK7c51OMRTwm1HSgqakJFy9ehFqtxrvvvovx8fGKqeJ8HBY6RIgLqFAo8MQTT2B4eBiCIOCNN97AxsZGVRyfgxoDEEZBENDU1IRvfetbMBgMWFlZwXvvvcc0lUrRGT4JSyaTgV6vx1e/+lVWFnnjjTe481elC2noM8UmvhxZrVZ861vfQmNjIz766CO88cYbTFWpNJZH4VAoFDh8+DD6+voQDAbxL//yL3j//fc54l+NqGDxuUrfl1RFdDodMpkMZmdnsbGxwTS3as1bsVFEfWxsDIcPH2YFoeXlZb7sUeFytbGQotHXvvY1dHR0ANjf+yYnJzkrUu1nRPOEmu387u/+LmejHA4HLl26xMFE4vxWg+4hfk+NRoPe3l78/u//PoxGI18uJycnq1YUR+8nptRotVqcPHkSX//616HRaLC6uoq//Mu/5GBiNXCQVdxBFpsYcD6fh0qlQjKZRCQSwc7ODvc0r0WYvjhVQwLg+fy+pm0oFKoJr0cckVUoFOjp6UEgEGBd1UQiUZPxAMAEe+L3dHd3cwMEin4VP8NqYqFUl16vZ0fQ5XId2FyhWljIcaZoeU9PDwv9b29vV21z+jgspJd9/Phx5PN5rK2tYXV1FYIg1ASLeEzGxsY483L16lWsr68zFab4NdXCQtH73/md30FnZycikQhefPFF7sBVrc1SjIH+zOf3FWm+973vQaVSYW5uDj//+c+ZNlZtK448PfPMMzh+/Dji8Th++MMfctfOWmLJ5XJMBxIEAUtLS/jpT3964J5STSzkTFy8eBHDw8OsZxuJRHge1WLtUH3LxYsXkUwmMTMzg/n5+YLi52rPWTGW7u5ujIyMsG55PB5Hd3c3EonEgd3ZqmEkN/fss89y0WI8HkcgEEBzczPi8TgXBFcqqv2oMc7n82hra8Nzzz3HEmakTU2USIVC8ZBEYjn2qGysQqHAF7/4RTz11FPQ6f4fe28W3OZ5nY8/2D7sIACCIEFwX8RFEiVKoiVLlpdItpI0TeIkzbSZTtOk0+lNZ3LXu860V71oJ50mmXaa6WT5TZLGSexYTWzXjiLLlqx9oyiK+wqAJBZi39f/BXuOPlBULGKL2j+eGY5kmQAevN+7nPcsz9HB5XLhwoULWF9fZ+5KpbKom1+5kMlkRWuBvNomkwlf/epXcfjwYSiVSty+fRuXLl0qciaJW3GXC0EQiuYeRUU7Ozvxta99DR0dHZziMTMzU2RIi2VRKwnpx/9K5UBfQmyAAMVtDmuBQqHADyMajSIYDFZ9Q9j++WR0UPg+FArB4/HUzDgmkPcyn8/DbrdDJpPB6/X+XrjQmJjNZnR0dHDaAwmR15pLPp/H2NgYDAYDYrEY7t+/X5QiUktotVqMjo6yesWtW7e4uLVWoHxss9mMTCaD1dVVOJ3Oiuf7PgnsdjteeeUVKJVKrK+vw+Fw1OySK4ZcLsfp06cxMjICAHj77be5FWytx8RsNuPVV1+F0WjE6uoq3n33XTZIaz0mL7zwArq6upDJZPCLX/wCCwsLfIDVkovRaMRXv/pVCILA+dhut7vkrq2lQCqVYmRkBJ/4xCewubmJ8+fPY25uDpubm9jc3KzpnBUEEJ9WAgAAIABJREFUAZ/4xCdgs9ngdDpx6dIlXLhwAXNzc1VN99gOiWRLV5caclC0+d69e1hfX2eZ0Uo+o8d9L5lMhpGREU4dk8lkCAaDGB8f56LBcrvIPikXtVqNU6dOoauri73qt27d4uJ0oPyUvo/jIk7DOXr0KFpaWiAIAqeAUtRZzKcSeNzeIJfLYbPZYLVaIZVKOSom9jJXa4+rqYFcRx111FFHHXXUUUcdTztqaiCLGyKYzWbOeSXUyotMt1fK/W1oaOBb7PafakIqlbIgeSQSgcFg4EYAYq7V5iGRSLi5CbAlTWQ0GrkNci25yOVy7NmzB8BWHlgoFIJWq4VMJqspF6lUisbGRuzduxfZbBbxeBw+nw+CIBQps9SCiyAIOHjwIIxGI+LxOILBIHw+H49JLeYLjcfQ0BCrtPh8PkQiER6P7Z9brTFRqVT4xCc+AbPZjGg0ijt37nCBEbWnrsWakUqlaG1txZe//GXI5XI4HA589NFHiMfjRVX61eYik8mgUqnw4osvoq+vD36/H2+++SZ3IdseOq0mBEGAxWLBmTNnkM/ncfXqVZw9e/YRL2ktuGi1Whw4cIC9pT/96U+xsLDwiJRZpbjs9JzFntJ8Po/r16/j7t273PxIXIMjbrpSLnb6TlKpFBaLBVarlYvk33//fS5OriUXmUyG1tZWpNNpluOjdez3+9lz+7jXl4rtja9IPGBwcBDZbBaJRAKRSAS3b99GNBplzzFFYiq1lguFQpHtQ0XQ1FWQJPDu3r2LmzdvcvSFFGIqyYV6MojzoJVKJbq7u6HVarkB009/+lN4vd6iqHMlIw5UyEpnGPGwWCz8DK5fv17USZB+qhWFqWoOshgSyZaY/vLyMgwGA7duVSqV/MVqlZ8mk8mg1+vhdrtRKBSQSqW4cxktymqHAmk8SEWCWsUWCg8Fr4Hq5v0SD5lMxgUBkUgEyWSSFQS2qwFUE9R4YXBwENFoFIlEAl6v95GOaLXgIggCRkdH0dTUhGAwCKfTCa/XywVPYlR7nuj1ehw6dAjZbBZerxczMzOslbz9s6vFRSaToaurC1arFeFwGHfv3mV90MflwlWrMt9oNOLQoUO8cZPGL23atUopUKlUGBsbQ3d3N8LhMK5du4aFhQUuABNv4NWERCKB1WrFpz71KajVaty/fx+//e1vK9ayfjc81Go1jh49iqGhIaTTaVy4cIFlzMS5i9VOb5DJZDCbzXjppZegUqkwPT3NMp7ERSw5Vi3I5XLY7XZYLBbWIdZoNEUtuenzq1WsTqC2ztTNNhaLsWZ3KpWqmoLFTsW7arUaTU1NePDgAQAgGAzijTfewHvvvVfVnPntyhXAluRrOp3GzZs3Ybfb4XA48LOf/QwrKysV0wzfCTsVnavVajgcDsjlcgQCAfznf/4nlpaWihR9qjFfd7K9IpEIJicnkUgk8OMf/xgffPDBI+l0lU71EK8BkqE1Go3QaDQYHx/H3/3d38Hv9z/yudXa22pmIKtUKrS2tnI70vHxcfZc0kSplK7s7wLl1qhUKpaDWllZgUqlKroNVTsnmYzSZDIJt9sNn8+HjY0NyOXyokO1FrnRCoUCRqORK4jn5uYQDAa5IK1WBjLNh0QigRs3bsDv92Nubq6oCr8WXCjpXyaTYXJykm+uHo+najJVj4NMJoNOp0M4HMb58+cxPz/POVi0XmpxcTEajejt7UUikcDFixfxzjvvsDFIt/dazA+lUokDBw5ArVYjGAzi3r17mJqaQiwWY2OjFrmlUqkUZrMZzz//PMLhMAKBAD788MOiZhy1GhO5XI6+vj60tbXB4XDg+vXrWFtbe0Q9p5oc6E+1Wo1Dhw4hl8vh8uXLePfdd4vaStdiPICHsp4WiwWTk5N4/fXXcevWLS60qgaPnTzkSqUSKpUKoVAI3//+93H+/Hk8ePCAnTLVmqtiLuQ1pTbOd+7cwYULF7C4uIj5+Xlew9XC47gsLi7iJz/5CTY2NhAIBODz+WrSdGI7F5lMhrNnz+Ktt96C3+8vcsrUCsTF5/Phm9/8JgqFAtbW1hCJRGpiA9C4iC+vs7Oz+Ju/+RsoFAqsr68XGemVwvbCSfps6rQIALdv38Y3vvEN+Hw+uFyumtaL1cRAJi9lJBLBRx99BKvViqtXr3LXuFpVWRMXAFhZWeG2jffu3UM8HmfPaa14ZLNZjI+PIxwOY3p6mg81Um2oJSKRCK5duwZgq0U3FS7WsoCkUNjqtre8vIxwOIylpSVMT0+zskctiwYzmQwWFxfx4MED+Hw+3Lp1Cz6frypdph4HCtEnEgluOjE9PQ2Xy8XV5tUeE4ogyOVyRKNR3L59G/fu3cP169cRDAZ506zFeFA1uUKhgN/vx7Vr1/Czn/0Md+7ceUSSsBoQRzBIE1oQBKytreHWrVt4++234fF4Kl7QsxPEoWK1Wg2TyYRQKITl5WWcPXuWvYK1MErFoWKj0QilUonr16/j9ddf5251tZojpKgikUhgsViQTqfx+uuv45e//GVNi9BIoUIQBJhMJrjdbly4cAFLS0u8dmu1rxIXajh0//59LC8vIxaLVVXjdyfQ86FmSG63m5vp1LoonC4xsVgMXq8XmUymJmt3J9Detb6+zjKitS44BorlT8XFxtVUJdoJ+Xye7UKn04mlpaXfS3G8ZDcfKpFISmJIHihq+yyVSjE9Pc3SLh/n6SgUCo8k25TKhbRc9Xo99zhfWVnhkPXHHbLbuZTKQ6FQwGKxcAMI8iSTZ/DjnkulxkQi2WoYYrPZuHMcKXvQRv5xqCQXrVaLrq4u/uxIJLKriuZyuYg9UCaTCV1dXfD5fJwrR3PkSdZNOVzIMKWuho2NjRAEgTmQJ+xJL1KlzlvSI6X28YIgYGNjg/Nb6UDZxT5yq1AoHCmFi0KhgF6vx+DgIGw2G1wuF6amptjbs1vjp5zno1Kp0NbWhpdeegkAWPKO9o/dGuvlcDEYDBgaGsLQ0BCcTidu3LjBUmbA7sOgu+UijupYrVbs3bsXiUQC8/PzReHQUqTMSuUCbHVsbW9vh8fjgdfrLeqGVgkuT8JDIpGwOpDf7+f2xeK88Fo9H8qHplQPsTFE/7/az0ecT0yyr5VKYyhnrlBvhEphN1x2yiWupDFYKpcqRVl+5xqiOUjR61rxeBxqYiADDxPiKRlcnGz+caikgUxcxMngu/GUVspABvBI4RndGp8ElR4Tei7ivMkn3bgrzYVyj8Rh6iedp9XksltvXKW5kNdwN8/mcVzK4VHmJlqygfxxnKp9uFcTdS7/+7g8LTzqXOpc/rdyeVp4PA67TbHwAVjZPZ2HBkYJYdDOanEpATtxKZlHGYLsFR+TMsLTFedSRi76/2kuZXg4Kjpvy7zRV5QLoQROFX8+ZaDOZWc87VyeFh5AnUudy8542rk8LTx2xK48yHXUUUcdddRRRx111PF/HfVGIXXUUUcdddRRRx111CFC3UCuo4466qijjjrqqKMOEeoGch111FFHHXXUUUcddYhQN5DrqKOOOuqoo4466qhDhF2pWDxNkhxPC5enhUedS53Lbrj8vngA8BUKhaangcvT/HzqXJ5+Lk8LjzqXOpf/rVyeFh6PQ81aTddRRx11oPaSPlVHKRrM1UIpjSeqBRL7f9zY1HLcZDJZkab69s+uFReFQlGkqf774gFsad+TpvpOn1nLuUT9AB73fGQyWcUaijwpFwL1SqC/y2SyIsnNavIRN4wi/XlqVEX9HIhLLbpV0venPhLUcIa4kFxsLbhQO3mpVIpkMgngYW8JMY9y5nDdQK6jjjrqKANPi3EMFHfN+30b7mJjR/xvO/292iAjcLvxU2su1B6eGmfVwpD4XVzo+ZAB9jhjotpzSTxXqKU88dv+ubXiQkafIAh8qcnlcmy0in+/WqDvKpFIIJfLIZPJuHU4jY/4mVWTC81XMkwlEgkUCgVzFPeXKBQKFe1MKAaNvXgs5HI5crkcNzyLx+PMo24g7xK/74PjcTx+n7y2ewvE7WN/H1zEG+Pviwtt1mJvj7jbYK040Ka0/QCjcaq2l0c8/o/jAWDXnQZL5SKeFzt5mn6XV6xaEI8LcaLOh2U0JnpibG+bS61zt3MRH1zV2m/ErY3J2yRuuENjtdPcrTQfcet4MjDS6TSALQODPE4FUdtl8ZqvNA+JRAJBECAIAj+fVCrFYyWRSHis6BlWeu6IjS4ycjQaDRobG7GxsYF8Ps/zJZVKAdhaV+K20JWG2OgxGo04ffo05ubm4PP5AACJRAKxWIx/Nx6PV52LRCKBRqPBc889B61WC4/HA4lEAofDgc3NTQBbazsSiVSNC81N4tTX14cTJ05AEARkMhlcvXoVLpcLAJBOpxEIBKrGhfZW8tA2NTXhxRdfRGdnJ+RyOS5duoSlpSUAQDweh9vtroqRTHNTLpcjnU5DqVRi//796O/vx8DAAO7evYu5uTkAQDAYxNLSUsljUhUDmW47tAFKpVJoNBrEYjE2OgRBQCKRKBrAamzYxIXCJDKZDAaDAaFQCMDWICuVSkSj0bL70j8JDwpDyOVyGI1G+P1+/n9qtRrhcLioBXe1xkShUDAXQRBgNBrh8/mKNsxgMMghFKA6ITf67jRflEoldDodNjc3mYtWq0UwGEQqlXpkXCo1NnRY0DOSSqVQq9VQKpUIBALs1dBqtQgEAkgmkzwWlT5QyXNBPARBgFqthlwuRyAQALA1b/V6PUKhUNFhQYdqJbiQoUUHt0KhgFKphCAIfCgQj2g0ing8zmtILpcjm81WbL7Q86HNUSaT8dpNJpO8r+h0OiSTScTjcTY0iEulNmux0UUGDz2rdDrN46bRaJDL5ZBIJNgok8vlyGQy5XSufISL2NhRq9XMi7gUCgWoVCrmR+FIOmAqxWU7L/pM8U8+n4cgCFAoFMhkMsxFoVAglUqV07lyR9DYqFSqotAwrRPadzOZDBKJBHNJJBIV5UI8lEol7zMNDQ1QqVQIhUJIpVLQ6/UAgGg0CmBrjsdiMZ47leQCbH3PQqEAhUKB3t5e7N+/HwsLC1heXoZer0cmk+H9hi4Q1TYEFQoFBgcH8dJLL+HZZ5/F+fPnkcvl4PV6sb6+DgBIJpNVNdbFnEwmE4aGhvD888/D7XbD6XTizp07mJ2dBbBlgMVisapxEXtkyXZ5+eWX0dHRgfn5eV4/ALCxsYFQKFQ1LnShowuUVCrF0aNH8fLLL8Pr9RZxWVxc5DVWLR60Lmh/+9rXvga9Xg+5XM5jMDk5WZbdUpaBTJ4jQRAgl2+9VSqVgkwmg9lshl6v54HUarUIhUJ8cESjUTgcDiQSiYp4CokLGTjAVptg4tLY2MihEq1Wi2g0yptjJBLB0tISYrHYIwbYbgeWFjod4MBWzhDxsNlsUKlUyGazUKlUSCaTbAAFAgEsLCwgEok8wqOUiUZ5W3QwAA+9JkajEe3t7TxearUayWSSjaBwOIy5uTkEg8EiA5k8Grt9RmIuNC703w0NDejo6OCDQ6/XI5VKseEciUSwsLAAv9//iCFYijFIXMj4pPcTBAEajQYtLS3MxWQyIZfLQa1WQyKRIBKJsGeDngndqCk3rFQuFC7SarVQq9UAgPb2dv58jUZTlEuZTCaxvLwMt9vNRg556zKZzK7mrpgHPR+VSsWcLBYL8vk8GhoaYDab+XOoffz6+jrcbneRIZhOp5FOp3c9d8VcxHNPLpdDo9FAp9Mhk8lAq9XCYrGwgQpszanNzU243W72fpHxtf1Cvhsu2z3XdIEyGo18cJERSHlxcrkc4XAYXq+XjS+5XI5kMlmSAbYTF/p3lUoFo9EIhUIBnU7Hz5AMQkEQkM1m4fF4igywZDLJBsduQIfOTh592kOUSiXUajX0ej3PI7pUyeVy+Hw+dlTQeqPnVAoXMcSXGIVCAbVaDa1WC6PRCLVajWw2i0wmA4lEAp1OB5/PB7/fzxzpAN4Nl52cGdu96TQmNpsNhw8fRiaTwdLSEjweD8xmMxKJBNbW1gCAvWNyuZxDxuVwIdA8JSdJW1sbTp06hcHBQRiNRmi1WgBbXkDy2sZiMT7nd/t8Po4njZFSqURPTw9efPFF9PT0IJPJIBwOY3p6GhKJBBsbGwC2xkWhUEAqle563j4J6DJjNBoxNDSEoaEh7N27F21tbfB6vTCbzTzfUqkUc6n0RQZ4OBcVCgX0ej327t2Lw4cPQ6lUYm5uDg0NDbz30/ktjkJUgws5HFtaWvDSSy/BZrMhEolAo9Hw3IjH41AoFABQlUsv8HCOKxQKnDp1CiMjI/D7/VAqlYhEIgCASCTCF8FSbKiyDGQaLI1GA4PBAADQ6XRobW1FV1cXtFoth5LIm0EelZWVFUQiESiVSh7AfD6PdDpd8oDK5XKoVCq+iSsUCrS0tGBwcBAmkwkqlQr5fB7JZJIN6mQyidXVVYRCoSIuuVyOPRq7NXrIs6XT6QBsbUgWiwUHDx6E1WrlDTqRSEAmk/EBvrq6ikgkArVazYuNfq9UD6X4sAK2DsWWlhaMjY1Bp9NBrVazwU4bTyaTgdPpRCwWg1ar5U0ok8kgFosV3RRL4aJSqXhcmpqaMDY2BqPRCKPRyAn3dDjkcjlsbGwgk8mgoaGBF2AqlUI4HC55s6YwJx0GKpUKra2tGBgYQENDA0wmEwqFAh/Y5PWig8Lj8fDhEY/H4ff7S/bcKpVKKBQKNDQ0AADMZjPsdjuMRiN6enp4PsdiMaRSKaRSKWg0GsjlcrS2tmJ1dZWNnmAwCI/Hs+s1RN4tMrCALUO9tbUVRqMRvb29MJvNEAQB6XQaqVQKwWAQOp0OWq0WGxsbWF5e5o1pc3MTLperpEND7PGjdSqTydDc3IyOjg60t7ejqampaANOpVLQarXQarXw+/28vwCAx+PB8vJySfN2u1eWuFgsFp4v3d3d0Gg08Pl8fKnWaDQcEXI4HAiHwwAAl8uFhYWFkuYthXzp78DWmmpubobVakVXVxdsNhusVisymQwUCgWy2SwUCgUUCgXi8TiWlpY4POxwOLCwsFDSuNCFTmyYEpempibYbDYYjUbY7XbI5XIYDAZe0+QYmJmZYWPQ5XJhdXW1JIOH5u72tB9KG+jr64PVaoXdbodKpYJarUYoFILZbIbRaEQqlcK9e/ewsLAAAFhfX2deux0T8cUBeOgE0Gq16OvrQ0tLC9rb29HV1YXh4WFeQ8FgEKFQCHNzc5iYmACw5RH0eDzIZrO7jiSSQS6OshEvWkuNjY2wWCwYGRnBkSNHUCgUcPLkSYyNjcHpdGJhYYH3OI/Hw+H7Urhsd36JX69QKCAIAsxmM44ePYp9+/bB5/PBYrHgwIEDUKlUePDgAe+D5IwohQtQXBC4nQtBJpOhsbERY2NjvHbockd2DwA+q0v1UD6JU5AM9n379uHAgQNsE3g8Hvj9fl6/KpUKiUTisXn2leKSzWah0+lw8OBBjrasra1hYWGBU2LIaUEOlN0+o497rmTwyuVyDAwM4IUXXkChUMD6+jquX7/OqR50qRMXxu4GdR3kOuqoo4466qijjjrqEKFsDzL92dnZCQD4yle+gq6uLr5Z3Lx5E2q1msOiBoMBcrkcHo8HoVAITqeTrfpUKlXW7Yfex2QyAQD+4A/+AMPDw7Db7UgkEvjwww8hCAKam5tRKBTQ2NgIrVaLPXv2IBQKweFwcCgrl8sVhXh3A7rxkSfu+PHj2Lt3Lw4dOoRcLodf//rXnNZAHl3yFkajUSwvL7NHkNIzSuVB6R7E5cCBAxgaGsLx48cRDAZx5coVGAwG9vCYTCZYrVZ0dnayx4m8X5lMpuTnQ/zFHuSenh4MDAzg5MmTfPtLp9PQarWIRCIwGAxobW1Fa2sr0uk0VlZWOAyaTqc5rF7quKjVavZCtra2oq+vDydPnoRer+f5KZPJOKzW0tLCN2ONRsPFEXRrLzXvl7iQV4IiMmNjY9i3bx/cbjd7CjweDwRBgNVqhdVq5WdH3q9wOFzSM6IxEadVGAwGmEwmPPPMM3jmmWcQj8fh8/ngcrmwvr7Oc7i9vR3t7e2w2+3s/SIvZanzllKhtkemxsbG2Kvj8Xg4+kNeuo6ODgwNDWF4eBi3bt0CsOURLLXYSewRbmlpAbCVbmK1WtHb24tDhw7BaDQil8thZWWFox8GgwEWiwV6vR7hcBg3b94EsOUp3W36ixj5fB5qtRqtra0AtuZtU1MTenp6MDQ0hIaGBrS2tiIQCCCXy2FzcxMqlQparRYqlQp79uzB9evXAWx5kMkbt1uQV1ClUnHkw2azob29Hd3d3ejt7eV9ZHNzEzKZDGtra2hsbGRPYGNjI65duwYAWFtb49SgUj2UgiDw3qLX69HQ0IDOzk709/ejr68PPT09UCgUSKfTmJubQ19fHxobG7m2gbylXq8X+Xx+11zIOytO86OiJqPRyN6u/v5+9Pf3o6WlBU6nE93d3chms7h37x7i8TicTicAcESilIgqpQGJQSFmOpvNZjNGRkZw5swZGI1G3Lt3D52dnTAYDFhfX+e0FACsWlDqXNnutRWHu7PZLNRqNXp6evDyyy+jr68P169fh8Fg4DoZiuIBWxHa7UWou+HyJJ5StVqNAwcO8Dnp9/sRi8UQjUbhcrl4/dLzpgj5btb1k3KRSqXo7OzEn/3Zn8FutyMajcLn88Hn82Fqaoo9yJRuUAqX3UAqlcJut+PYsWOQyWQIhUJYWlrCnTt32G4hbztF66ulaKFUKvHlL38ZnZ2dyOfzmJubw7Vr1zh6SKlExGO3XuSyDGQKaRoMBgwPDwPYqrJsamqCy+WCw+GA0+lENpuF3W5HMplEf38/2tvbAQBWqxUej4cfMBXSlQIKmRsMBn7/rq4utLW1cZ4XGWDNzc3IZrMwGAxoampCPp9HU1MTPB5PUeizFC4KhYJTPYxGIwDAbrcXPUC3241EIgGLxQKJRILGxkY0NjYil8vBZDJhfX2dJ5q4urqUMSGZGjKQm5ubMTIyApPJhOnpabhcLiwvL8NgMCCbzcJkMqGhoYEvMyqVCsFgEABY5qYcLlToBmylEvT29sJoNMLhcGB+fh4+nw9KpRKhUAgmkwkGgwH5fB56vZ41RAGUfLCLuVB6ELA1F0dHR2G32xEMBjE1NQWv14tcLodAIACVSsUha/FBDGzNk1K5UB6g+BnZ7XYcPHgQPT09EAQBk5OTcDgcCIVCCAQCnJecSCSgVCqh1Wr5ACp1XCgvVKlUslHa2tqKw4cPY3R0FEajERMTE1hcXMTy8jL8fj+am5thNpuRzWZhNpsRiUTYyC9nTOgAVCgUvIZsNhvGxsZw7NgxWCwWTExMYGZmBvPz8wgGgzAajRAEAd3d3XwBpmdUzhqiHF6qIQCAjo4ODAwMYGRkBHa7Hevr63C5XJiamkIoFIIgCOjs7ERHRwfa2tqwsbHBXMopFhRfwsTj0tPTg5GREfT19SESiSASiWB2dpbnr81mY67icSinWJD2aoVCweOi0+nQ3NyMoaEh9Pf3QyaTscG3sbGBZDKJTCYDq9UKs9kMr9fLxl8ymXysrNeTcpFKpWx8q1QqmEwmDAwM4NixY7DZbIhGo5iamoLT6eSLuN1uh9lsxvT0NO+54lz13RpfVOMhTv8hJ8grr7yC48ePI5VKYWlpCTdv3oRer4fNZoNer+dnSnnZ8Xi8JB7buWxXmaEUiwMHDmB4eBjJZBKXL19GKpXC6OgoZDIZ14HQ3k+FaKUWRlNNARmEYlAqJOWzbm5uQqFQwGKxcEF0KBRi5wilO5Sq4ENcdgLl+/b09GBwcBCZTIZrDcLhMDY3N+H3+/kZUY1FqeMiVqh4HB+9Xo99+/ahpaUFjY2N0Ol0WF1dxeLiIgKBAM9bqsmh9600FwDsbHvppZdw+PBhNDQ0wOVy4fbt20VcgIcFhqU6Jj4OdHH4/Oc/D7PZDL/fj0uXLiESiRQpnojfc9fpsruj/RA0kXQ6Hbq6ujA6OgoA2LNnDwBgbm4OCwsLcDqdiMfjCAaDbJAajUYolUoMDw/D6XTyoRoOh0tOdCeDp7GxkY31gwcPQqfT8UFKeaOxWAwGgwHBYJDzLPfs2QOXy8ULJxAIlJQPR69XqVTscTp48CBaWlrg8/mwsLCAQCCASCSCdDqNhoYGBINBqFQqWK1WdHd3w+l0Fk2uUnN+qeJUKpWyl2d4eBjt7e1c+ObxeBCPxxEIBGAymfiAt1gsaGtrg8vlQmNjI4Ctw323xSJi0Heig4C4xGIxrK2twePxYHNzk421cDjMRXxWqxVOp5NfG4/HixZjKeNSKBT4/Sg/kPKJNzY24PP52INP1eSUk0p5lQDYs1EqF1q4ZCBbrVbYbDbk83k4HA4sLi5ibW2Nb8GpVArxeJzHiYx2oHSlETEPujTYbDZ0dHQgnU7D4XBgYmICy8vLnItIOeFUSyDO7a9ExTt5KAHwGiUljzt37mBmZgZer5f3jHA4jHg8jkQiUaSoQYojH7f5/65xEb9WrVaju7sbRqMRyWQSt2/fxuLiIlZXVxGLxWAymaDT6bhIUZy3v10tZ7cgA0e80be1tcFqtQIAZmZm4HQ68eDBA/h8Puh0OuTzeQwODiKdTiMajbLREwgESuZCubVU/AdsGZZ0JuRyOUxOTmJpaQmrq6vwer3Q6XSQyWQYHBxEKpVCIBCAx+Mp4lLKMyIuGo2G559UKuVoSDKZxPz8PG7duoX5+XmEQiGueRgdHUUsFoPL5eKIkN/vL2lciAep3wDgotKOjg6oVCqEw2EsLy9jcnISLpcLvb290Ol0OHLkCBcAkwc5FAoxj916SslzTaozAFhVpKGhAUajEWazGcFgECsrK7h79y727t2L+fl59PT0IBwOY3Z2lpUjxEWlpeb9UgEZsLWG6IKlVqvx7LPPorGxEeFwGEtLSzCZTNjY2EAul8PS0hKWlpbYQBZfMkv1INNCNc8kAAAgAElEQVTFlyAuQGtra8Pg4CB6enqQTqdhsViQTCaRzWaxsLCA9fV1NpBpzyxl3hKf7dFHcRGaRqNBd3c3Tp48CYPBwPtKJBLBzMwMNjc3HzkHn9QzvdvXUJTuxIkT+OM//mO0tLQgl8thbm4O169fRygUKnJ20nfbDZftBu3jQJe8f/7nf0ZbWxvy+Txu376N999/H9FolG03etbiwu/dnEslG8g0KagamIwoCkFcunQJ169fx/r6Ok+AtrY27Nmzh4tISNGBwrHlSLeIb8p2ux3AlhG1trbGXEjHMJfLobGxEVarFQ0NDdDpdGhqaoJUKmUDMJVKlawcQROjra2N32tpaQn379/HjRs3sLGxwUnmer0eGo0GCoWCvc75fJ4nfSqVKsv7RQufDlCqXF9ZWcHi4iIXwCWTSWi1Wr6sUCpENpvlzYA2iVJup8SlUChwCoy4qGppaQkzMzNIJpOQy+WwWCxcFCiVSpkjpXuQN6pUxROaZ3RxaGpqgsViQSgUwoMHDzA7O8vPwGQy8QWMvAVkSANbc14sh7dbLvQ6MpAprSSVSuHBgwfsKcjlcjAYDOyFp0MnFovxGqKLVynqK8DDgidgK9rQ0tKCTCaD8fFxzM3NYWNjA+l0GhqNho1p2jiTySTzoDEp1VgX/wBb0QY6HCYmJjA1NYXFxUWu3I7H41CpVJDL5Y9wCYfDZe0txIMMcVqvsVgMc3NzmJycxL1794pSkYaHh1mxIBAIsNFD0omlelVoPCjSRdGQYDCIyclJ3LlzBzdu3IDH40Eul0NLSwuGh4eh1Wq5kJCMHnJIlJN6ks1mOZxJ6ivJZBKTk5M4d+4ch4Cz2Sw6Ozuh0WjQ0NAApVIJl8vFygTlzBfiQoYDQafTcWHp9evXce7cOb50k7dbLpcjGAxifn6e50s8Hi+SlHxSiJUN6LVkAOr1eqjVaiwvL2NiYoIVnNRqNaxWK1KpFObn5zE7O8v7rVgesBQuVGQsTmsQqxUVCgVotVpsbm7CZDKhubmZ/5sKneg8FMsBlsqFLnf0b+LQe0NDA0ZGRtiIl8vliMVimJ2dxbVr1+Dz+Yr0q0spXKTP3f4dxCkgEokEHR0d+MIXvoCenh6WZVxbW8Nvf/tb3Lp1C4lEomgsSvXa0pj8LuUTs9mM06dPY9++fWhubkY8HsfMzAx+/vOf48GDB494jem83+06ehLvqlKpREdHB06dOoU9e/Ygn89jenoa3/3ud1lrWDy+4iLKJx2bJ/UcazQanD59GidPnoRMJsP09DT+6Z/+iVN2xd+fUqVKKdIry4NMUkdDQ0MsS5VKpRCNRrG5uYlAIIBQKASVSsXVhK2trZzjKQgCotEoHyxiebPdciHJtvb2dg7h0401Ho8jmUyyp0sQBBQKBbS2tsJkMiEWi7G0GXlXotFoSVzIq0eecmBr8ZPBTXzo9zKZDNrb21lGSxAEBINB5hEOh0vObaVQn8lkYi56vR5+vx9ut5u9jzTh8vk8urq6YLVaeQMQyx+JJd9K5dLQ0MCeV7PZjEwmA5/Ph3g8zqEzMsw7Ozv58Egmk1zVDWx5eUrlQoaleFwaGxuRyWTg8XhYCos8sxKJBCMjI+jt7UUgEMDGxgbW19fZ0KBcwVJAkRjy6ABbFzyJRAK32w2Px8Oea6VSCY1Gg9HRUezZs4fF2F0uFxtgXq+3ZC7kFbdYLACA7u5uyOVyTiGgywvJBI6OjmJkZAQajQbpdBrLy8tYXl4umwcdpFqtli9TLS0tKBQKcDqdmJ2dZUNHpVJBp9NhZGQEo6OjaG9vRyqVwtTUFGuVEpdSQ8OUekJ7nF6v53zwW7duYWlpieUt1Wo1hoeHcfToUbS3tyMajWJ8fJy50FwpNQQKFLfCJRnEYDCIGzdusFed8jr37NmDY8eOobm5GW63Gzdv3uQKb1rP5XARHzokL+XxeDAxMYGJiQmeM0ajEUeOHMFzzz0Hg8GAiYkJXLlyhect7bflzBnSlwfA6jOhUIifgUwm44vwK6+8ghMnTkAikeDdd9/F3bt32UCmy0ep40JRJ/H4UB7kzMwM5HI5+vr60NDQgL1796K1tRUejwcXLlzA3NwcG/l06S7n+YgNqEwmA51Oh/b2dhw/fpxVALRaLQ4dOgS73Q6FQoE7d+5gfHy8KP2xnPQK4iOO4uRyOahUKhgMBoyOjqKlpQVyuRxerxdarRaFQgE+nw937tyBz+dDLBYrUrsS/1kKxGkWtMZVKhVsNhteeeUVDAwMIJfLscLI+vo6bt68yfrqNKY7GdyljI0YYrnIM2fO4HOf+xxaWlq4Wcm9e/cwMTHBtQzbx6PSucfkINizZw/+/M//HC+//DIEQcDCwgJ++ctfYmJigu0F8XiUmgLzcTAajfjDP/xD/PVf/zUUCgWcTif+7d/+Dffu3XskL71cHmUZyKSfKZVKOeeDcpKbm5uh1+uRy+UwPDyM48ePo729nXUdNRoNMpkMotHoI4NaCkiPkDyVwEPtVpJ4a2xsxJ49e3D06FFYLBYYjUY0NDTwggyFQmX1NZdIJOzap0MV2PIIRqNR1ie1Wq1obW3F/v370djYyDJN5CkNBAK8GZQ6JuTxIm1fcT40bdjERaPRoLOzE62trWhra4PNZgMA5iL2YpTKhWSn9Ho9G4K06OmyQDnZRqORw/udnZ3I5XI4d+4cNwupBBf6HEqDoWiC+IKTSqUgCAL6+/vR29uL/v5+9moEg8Gig7TUeUtcTCYTOjo6AGzNF7PZjLW1NZbCI6m/wcFBDA4OYu/evUilUrh27Rqi0WhRoUYpXKgA02QyoaenB8DW86Ecs0wmw+som81iaGgI+/fvx4EDByCVSjEzM4NgMFiUO1/qpkSHusFg4CgM5d6tra0hHo+z5zqdTqOvr49zpdVqNZaWluByubjJgfgQ2S0o716r1aKpqQnAQ0+p1+tFKBTiPEFgq+7hmWeewaFDh6DX6zE7OwuXy1XUeascLpQ6QJEPsVY4pQRRUXRXVxeee+45HDlyBFqtFouLi1hZWakIF5pnVPcBbF2Cc7kc4vE4X2SpQG1sbAynT5/GwMAAUqkUnE7nI7UW5XChsaDnQBEfSrehOWWz2fDqq6/i+PHjaG5uxsTEBCYnJ7lZh/i7lcpDrK9OxhdJnVL0qbOzE5/+9Ke5NuXdd9/F/Pz8I57acgwvoDh0Tnx0Oh2USiVkMhkCgQAaGxtx/PhxKBQKTE1N4ezZsxyBqMTZLOayHVQzZLPZ+Pw1m81IJpNYWFjA5cuX2XFSCWP0d3FRq9Ww2+18JlAeeTqdxu3btzE3N8dnYSW5iPlsn8t2ux3Nzc0wmUzIZrMIh8O4c+cOa9+LvcWV4rITN7lcjs7OThw+fBhNTU2IRCJYWVnB7du3EYlE2DCtVjGemEtbWxu++MUvoq2tDaFQCLOzs7hx4wZHCSvJo6wivVQqxZ2AyBNw4MABdHR0YGxsjDfO4eFhzjnK5/Pw+XxYXV3F0tISezCB4hbDu33Y6XQaKpWqqPuPIAhob2/H6OgoVCoVcrkchoaGYDAYUCgUuPp8Y2ODQwTiUMtuQxWFQoH1eqmyFQDflPfu3cs6sp2dnfx7NpsNgiDA4XBgaWmpKJS621yi7VyMRiN0Oh3ncmq1WhZkV6lU8Pl8fFGgzYoOU4fDUaTtWwkuYgOZUiyam5tx8uRJ9PT0sAfZYrGgp6cHZrOZc6W3FziVEmIjLmazmVUagIf5eUajEc8//zwriuRyOfT09KC7u5s3BgqxifMDSxkXAJyepNfr+XCni5JSqcSRI0dYhSWRSKC7uxuDg4Po6OjAxsYGzzM63Eup1AXARiBplxM3+q5DQ0NoamqCRCJBIpFAb28vDhw4gPb2di5upUpvGpNSng9x0Wg0UCqV/PpkMolYLIZ4PI6uri6uY0ilUuju7mYvVDgchs/nw8bGBu8D5XAh1QjSBwfAebyxWAzNzc2c8qJSqdDR0YHDhw/DYDAgmUzC6XTC6XRyFKYcLoVCgXXLaR1QRCObzcJisXA0yGQyob+/H8eOHYNarYbP58OtW7fgcDh4XIhPqVxIU5hAqWTZbJabLHi9Xuzbtw8vv/wy9u/fj0KhgMnJSbzzzjvwer1FNQ3lcqEUG2DLuCEtbplMhu7ubgiCgM985jN4+eWXYTQaEYlE8N5772FycpJTPMrlIghCUd4vdQilTpP79+/H5uYmnn/+eQwNDSGfz+Py5ct47733sLm5+YjCSak86LPlcjkbehRtIU6k3tTf3w+TyQSPx4MPP/ywSKe7UkYXpUCK2wSTI4TOgFwuxymGLpcLFy9eLMpNrxQXyosVNxfT6/VobW1FY2NjUXOoSCSC6elpXLt2jQsVy1Es2o7tFxhKtdTpdFzAqVarIQgC/H4/Hjx4gOnp6aL6qEoaxmIudNGjy+bo6Ch6enrYPrh//z6cTmdVmpKIQfOGxurkyZN49tlnodfrOf9Z3Na6kuNRsoFMOV/RaBShUAhutxsAMDExgeHhYZjNZoyNjbHIfiKRQDKZhNvtRnd3N/L5PDo6OjicC4BD6bsFhbUo9EHpCVNTU+jv74fRaMShQ4d40kkkEr716PV6xOPxohA3cSmlYJA2N5JbAYCFhQX09/ejqamJc44bGhqgUCjYs6zT6aDRaDgPmR5yOe1XiQt5+4nL4OAgV8TSRkXSasRRpVKhUChwwQ1xKTUfmm6YwMNWqktLSxgYGIDdbofFYsGePXtgMBig0WgQCATQ0tICpVLJhVd0ASIupd4SqZgmm80yl7W1NfT29qK9vR3Nzc0YGBjgTpDhcJg3bo/Hg2AwyKFJAEUFYbtFoVDgVBtKNXK73VCr1ejo6EA2m8Xw8DA3NIjFYjCbzZBIJPD7/dyghAyVUChUspFBRiDlQK6vr0MQBFZZGRoagl6v51Qok8nE0SO/38+Nb8TvWakxIVk5uVyOrq4ujkJRowWbzcZzhYzjSni/KN2D8uGBrTQJ6m5ms9lYLhLYKpijy6ff78fs7GxROlC5XMT5+MBWWhrVeVitVlYA0ev1GB0dxeDgIKRSKdxuNyYmJtjjLX7PUkHRGHGjglgsxpduAGwsd3R0wGQywe/348qVK1hZWWGFB/q9crnQmQSA20eHw2HodDoUCgW+FOv1emSzWYyPj+PixYuc3kHGdTkyfDS29HoqYgwEAjxnyehRKBRYWFjApUuXsLm5WVQoRjzKPezFRVLknPF4PHA6nThw4ABGRkb4Wd24cQMTExM8z2juA6UpOu3ERWwgp1IpeL1epFIpjqLSHvvWW2/B4XBwugG9hrhUYlzEbetTqRQikQiam5sxPDwMm82GXC6H6elpnD17Fn6/nyMkVPgFoCRnxHaI30/cJnl0dBQnTpyAxWLhbqXnzp1DLBbj9Ej6LkD5Xn5xYR0A5qRSqXD06FF85jOfgdlsRjqdxvz8PC5duoRMJsN7tZhLuakV4nlLc0CtVmN0dBRf//rXYTKZkEqlsLi4iIsXL/KZLi4kBco3lsvyIOfzeXi93iL94Pn5efT397PxRZv1gwcPEI1GWR6Jqo6tVmtRdWo5XEKhEHw+H2uxOhyOovaZsVgMEomE5ZiofSQZBE1NTRx+LMf4isViSCQSmJ+fB7ClCTsyMoKmpiY0NDQgnU5DLpdjfn4e0WiUc0s3Nja4g4/X663ImESjUcRiMc47DIfDiEajaGtr49a0jY2NWF1d5fAeVZer1Wo0NDRwuLScTbJQKCAcDiMcDmNlZQUAuEilp6eHDVCz2YzV1VUAYK1bl8vF1eDidrDlcAkEAvD5fMxFIpFwpzbquNjQ0ICVlRVOlVleXubivXw+X6SZXQ4XUs2gg4qMUrvdzoc5SeFZrVYolUo4nU6Mj4/jwYMH8Pv9nLdYKhfiQWMtfi+bzcaXR4VCgVAohLa2Nmg0Gvj9fiwuLuL27dtFIfNyN8hgMMjSjYRAIMDaz1RclUwmsXfvXm4fv7CwgA8//BAul4sN2nK5kLY0HdASiQQOhwMmkwltbW2Qy+Vwu92wWq0YGBhgLrdu3cI777wDh8PBHp9yuZAxJ44w0dyhfP1cLoeBgQEMDQ1BEAS4XC788Ic/xG9+85uiFunlctne4ZMuk4FAgA91i8WCQ4cOobOzE6FQCBcvXsSPfvQjlloT5zKXAwqvivMwSS2I9KifeeYZjIyMQK1W49KlS3j99dc5T1psdJXDZXuxbi6X4yJRCg8fO3YMvb290Ov1ePvtt3H16lXWXhZ/drmHO6V10FyhWhyZTIb+/n7OK1WpVIhGozh//jxcLhfC4fAjhl+5XChViQwocrZEo1FOn7JYLEin01hfX8eVK1c4IkWGX6WMHkrn2X45S6fTGBgY4AsvRa3Gx8cRjUaRSCQe+exKcAEeGnRiL+iJEyfQ1dXFUfqVlRVMTk5yJK0a4yI2kMUpQ5/73OcwNDQElUoFr9eLy5cvY3x8/LFcKgGxljhJD/7lX/4lhoaGIJPJ4HK58OMf/xhXr17lbqpip2AlUJaBDIAVEahgSRAELC8v82LXarVF4tUkbE9hp9XVVTbAyt0kk8kkHA4He7MpbQF4qN+n0+kQi8Ugk8nQ29uLhoYGhMNhLC4uYn5+ng2wciYb8aAKbblcDofDwe2BKSc4HA6zgahUKhEIBHD16lVMT0+z0V4uUqkU1tfX2atOTVpI75gMz42NDTQ3N2NwcBAKhQJra2u4du0a5ubmypJ2EyOTycDr9bLHyeFwIJPJYHJyEiaTib0nDocDfX19GBkZ4arq8fFxLC8vF4WWygm7ZTIZBINBLC4uAti6xCiVSrS0tECj0XCBnsPhwMDAAFc0u91u3LhxAysrKxUJyQLgg4IK3EKhEPL5PLebTiaTMBgMCAQCOHr0KARB4By9S5cuYWVlpegiVU46QTKZZLmrUCiESCTCXlLysgmCgD179kCpVGJjYwMTExO4ePEi1tbWyk6BIVBUiNIBkskk1tbW0NTUxMoEmUyG5fkUCgVcLhfeeecdfPTRR2UVce6EfD7PlxDaiE0mE9bW1tgbeOTIEfT29kIQBMzOzuK1117jA62SIdlCocAh8LW1NVaacblcPIdPnDiBpqYmxGIx/OY3v8G5c+dKakH+JFxoTZLxTZHFxsZGdHV14dSpUxAEAVeuXMH3vvc9vjCIo0qV4AKA1yR5XylM3NXVhaNHj2JwcBDr6+v4j//4D1y8eBGxWKwiHkmCWOaQeEgkEvZcHzt2DF1dXRAEAefOncOPfvQjrK+vM99Kh8vF+ZiUzqhSqXDw4EEcO3YMDQ0NiEQi+MlPfoIPPvgAkUikbG/+TiCP4PZLCKk0dHZ2QqFQIBKJ4Nvf/jYWFxfZky+OvlQC29MnybCz2Ww4ffo0n0WBQAD/+I//CLfbXVZU4Xdhp3GRSqXo7u7Gpz/9aVY2Wlpawne/+11OS6rkRYqwPf2LDNO9e/fi9OnT0Gg0yOVyuHbtGs6ePcvphpXmsj3thNbxiy++iJMnT7J042uvvYYLFy7wZasaY1K2gZzL5eD3+/kLKZVKNlBJh5H0DinniA6blZWVIpWGStyYfT4fc1GpVHC73UUqF9SBzWazobW1FclkEl6vF06nE4lEoiIbdjabZaOfeHi9XshkMvYW06EyNDSE5uZmlhpaW1sruvWXm3tFVeVifWav18v5tnRByGazeOGFF1gbc2ZmhrtbiUMd5YSUyEAmY12n03HvdlL9CIfDLE/V0NCA1dVVLC8vsyamuIK/nA0rm81ic3OTvYzBYJC9OBaLBWq1mov0KPVjenoac3NzWF9fL/JAlFsUkM1miwoQ/X4/1tbWUCgU0NTUxEVXzc3NeO655yCTybC6uoqJiQm4XK6i8DB5akrN/Y1EImxE+f1+OJ1O1qKmVIZDhw7BbDYjn89jZmYGly9f5hqE7TxKRT6fL9p8KeS7sLDAOXp9fX147rnnODf8/fffxwcffIBAIPCIdFM585by1sUSYrlcjjv46fV6HDp0iOsbXC4XfvGLX+DGjRt8udweki1nTRcKBX5f8oaJiyxHRkawf/9+ZDIZvPvuu/jBD37AhjSNpfi1pYIOsu1FvLSGBwYG8NnPfhZWqxX379/HD3/4Q9y/f5/l3HY6CEsFGRrbpchIRWN0dBSHDh2CTCbDuXPncOfOHUQikUdUOMrhQqFy8X4gTlNobGxEa2sr1Go1XC4Xvv3tb7N8WTWMY8r7FT9jqVTKBadUv3D79m3867/+Kys0VBricRGPtVKphM1m4xSYTCaDy5cv41e/+hUbPJU21MVcCHRpIG86XfJ+8IMf4MMPPyyruc+TchFHYbRaLY4ePcoF0YFAAD/84Q8xPj7OjUmqwYX2boJUKoXBYMAnP/lJlgd0Op347W9/y/rzleZCPMTPRy6Xo6WlBX/0R38EnU6HeDyOiYkJXL169ZHIUaVRtoEMFBsqYm+jTCYrCkvE43GWWqPKYiqEqgQKhULRe1G4lyYihY5oI6UcWwqpl5NLup2HeKMR5+fI5XJsbm6y94S82tQJLJvNcmODSkDs4QHAlwCJRIJQKMRalHK5HNFolD2EdGHYvmGWs2GR0UPeL3E7SLpAAOBcccoNu3v37o7PphwuZAwSB0qtkUqlWF5eZhUSu93OHp9EIoHx8fEiHUyg/EsMGch0caBxkEqlWFlZYXmqU6dOobOzExKJBD6fj7lsL+opde6IC1yBhwVGNG8p3aHrf6QAfT4f7t+/j9u3bz/SjKPcA387F+qiSFzUajX279+Pw4cPw2g04sqVK3j//fe5ffJ2lMtFHNERBIG5KBQKCIKAsbEx9Pb2Qi6X48KFCzh//jyvc6By0kvUfETMhfY9airwmc98hqU033zzTczMzBRpDFdqvyUu4hxX4mI2m/GFL3wBg4ODSCQSeOedd7jivRpeQTEP4KHEp0wmw+HDh/H5z38earUa165dw3e+8x0Eg8GK7if0eno2xIUK5PR6PU6dOoXh4WF4vV78wz/8Ay5fvlxkMFbSGKQzSHwJoWjh4OBgUfrNr371K27QRE1oKs2FCu1ob6O89Oeff57T65LJJO7cuVPkfAAqK1tG81Ocg2yz2XDw4EGcOnUKCoWC7ZL5+Xn+bFLHqrQhRnsmzZPe3l6cOXMGp0+f5lbN09PTuHDhAkdeSRWl0lzEERdgq+nbl7/8ZbzwwgvcoOnnP/85e4+B8p1m2yF2DFJdzb59+/BXf/VXXE+xvLyMv//7v8cHH3zA675SaSbbURED+XHYvhGTsUatAH0+X1GxVaW/nPhzxZWwYu9CMplEOp2G3++v2u2MQEUkNKloMtIY0IWiGiEuMWgMKB+NQkwmk4l1qWnMqnGLF/MAwNJQdKjpdDq0tLQgkUjA5/Nx8WW1nw39SREPANxERlzQV43NSQz6niSITxsWpeJQYxCaR9XiIta2pEOlt7eX1QgWFhYwMzMD4PGi95WCWAOVUrc++clPsu7xhx9+iNXV1aptlGLQpkye+46ODpw5cwZqtRorKyt47bXXOL2q0obPdpARJJPJYLFY8KUvfQkjIyOIx+N4//33ce3aNS6qrBYXek+KzgmCgBdffBEvv/wytFot7t27h5/97Gfw+/0VKTz7OB7A1rgIggC73Y4/+ZM/QVtbGzY3N/GLX/wC6+vrvOdWmsv298tms1AqlXjhhRdw9OhR+Hw+/PSnP8X4+Piuu4yVwoWMHgCs3vPFL34RHR0d+Oijj3D//n3I5XL09vZyXngl91mac9tzQwuFAg4cOIAzZ87AYrFgZmYGfr8fKpUKPT09cDqdrGVdqf1NXEAp9uzrdDp86lOfwvHjx2E2m+FyubC8vMxKQqRxXk6zoe2gZ0KOMqpz6evrw6c+9Sl0dXVBrVZjYWEB7777LqeMkTFdbvRHDHEhZqFQYC7Hjx/H888/D5PJhHw+j3v37nFakliMgM6pckFn7nYeJ0+exMGDB7kT5XvvvYc7d+6wfUJe53KjljuhqgbyTiAPolarLQpRi1GLDZQqHiORCBdRbOdSLR7i3CeqLPb7/ZyLVisexIU2UurOFo1GWQezllxosxAEAS0tLZBKpdjc3ITP5yvyTlabC20++XwefX19nDO/sLBQ1BSkVuMikWzp7J44cYK9Pjdu3EAgEKgJF9qYKZWgvb0dyWQSU1NTGB8f5yKNWkGhUODQoUN48cUXodPp4HQ6MT09XfEc24+DRCJBe3s7vvGNb2BwcJBTGtbW1h4pYKsWyABSq9V49dVX8dnPfhY6nQ63bt3Ct771LU6fqgUXYMu7tXfvXvzFX/wFTCYTNjc38e///u+YmpqqqnG8HRQe/spXvoLjx48jmUzi17/+NX75y1+W1SClFB5dXV34+te/jra2NnzrW9/C9773Pa7F2B71rBYHYCv98fjx42wIvv/++7h06RIKhQKWlpa4tXWlvcdiUBhfq9Xi8OHDsNvtRT0RnE4nNjc32UlTrcu/2ACjNvYWi4X1odfW1jA9PY10Os0Omkp7ssWXBSqM7u/vh91uZ5WrSCSCu3fvcgQrn88/km9bKT70QxrrpOqk1WqRyWQwOzuLhYUFLjil369kBgA9c4lEwkXrnZ2drFK0sLCA119/net0xGNYlRzxir9jHXXUUUcdddRRRx11/C9GTT3IarUaZrOZ+8N3dnZyIjpQ+XyWx0Ei2epxTq2OC4WtpiGUbkC/U20uMpkMdrsdgiAgEolwbiXl6REPoLpdcoAt74LRaIREIkE0GoXJZIJSqSyq3q22x5TyS6ntaCqVQjgchsVigcPhKMqjFPOpBhdBEGCxWHDgwAFWCfB6vawmQbnbYh7V4EI3aWpdnEwmuRGGWq1myblqPSPx/BgaGsLQ0BDr6nq9XgQCAe5g+bhbfKV4UOFda2sr/vRP/5Q1zCcmJrjjI4X8dhqTSubJCYIAlUqFM2fO4LnnnkM+n8fc3DF3Iz0AACAASURBVBwuXLjAGuviwrxKcNkpRYKKBPv7+/HZz34WFosFGxsbeO211+B0OtlLSWO3vSit1DF5HJeuri68+uqr6OzsRCaTwZtvvokLFy484vUSN4Uql4u4EI28pYIg4Pjx43jllVegUCgwOTmJH/3oR5wXLv6s7YVspUKsTUueUoPBgC996Uvo6+tDOp3G1atXi7yBYi6ks1sJKBQK9gaTd9Jms+G5555jWTefzwe32w1BEBAKhYo8/OLvUi5IcQYAN2YaGhpCS0sLp66RKk88HofX6y0qDq/UuFDElrhYrVYAwNjYGJ910WgUm5ubuHr1KgKBAKdV0FytJBdK35BIJGhtbQUAjIyMsK6wy+XC+fPnubCV5oo4daYS8zafz/P3l0qlLOnZ0dHB9RaXL1/G//t//49rPMTtyyuVviXmQapjwFZxK73/G2+8gcnJyUdUX6qRLgXU2ECWy+XY2NhANBplxQKtVsuFDdsNoGqBDjiHw8FVkdSIggrIqp0HDDysnt3Y2EAqleJNSty1q9rhN1po1ImKpL2oEl18aaj2s6HE/KamJgQCAayvr2Ntba2og5E4PaWaPJRKJfr6+mAymeB0OhGJRHgD345qjotUKoXFYsG+ffsQj8dx//59XL16FS6XiwtgxRtFNdIrZDIZ1Go1BgcH0dDQALfbjWvXruH69euIRCJ84a1F2FqlUqGvrw+9vb18mP7mN7/B3NxcUUWzmEelOVGBT3d3N44ePQqlUgmPx4N3330X9+7d4+YtwKPtnCtppAMPO5KdOXMGXV1dyOfzuH37Nt5//31un0wHWLXGhS4Cer0ehw8fxrFjx5DNZrG4uIj/+q//Kmpb/LjPL4eL+IAmw9Rms+Gll16CVqvF2toafvzjH2NhYYEVI6pRKCgO+ZJROjg4iIMHD/KcSKfTUKvVLNUlPtgruddTuho5g4CtYiez2YyZmRlWU1KpVJx7LJ6nldzTqP4HAJqbmwFsjUs+n8fFixfR1NSE+fl5nD17Fnfu3OFitGrsJeIURmopbTQasbm5iQcPHqCpqQlzc3P49a9/DafTWVSbAlT2GYnTOimdgLT5p6amMDc3h48++ggbGxs7aoZXanwKhYfFpeI15HQ6Wc/9m9/8JqampvjCLX5tpbjk8/miMaHOspFIBPF4HJcuXcJ3vvOdIuWz7TwqjZoZyDKZDAaDAc3NzVhfX8f4+DjW19dZlxhASV30dgtKchcEAbFYDKurq7h16xYn5NMCqkX7RJKdW15eRjgcxv379x+5pVbbQAa2DlmDwQCPx4ObN2/i1q1bmJ2drcln78RFIpHg+vXrmJ2dxcWLF7GxsVHVYrTtIGMiGAziwYMHWF1dRSAQwP379/niUAtjkGQSC4UCxsfHEQwG4XK5sLCwAK/Xi0QiUbWbM4EukzabDYVCAdPT09jY2MD58+cxOTnJ6iLViraIPa5yuRx2ux0HDx7ExsYGMpkMzp8/zxrM23VTKw1xZb1Wq8WJEydgNptx9+5dzM/P46233sLm5uYjjScqBbG3lQo3FQoFuru78eyzzyKbzeLmzZt48803sb6+XvRcqsWFWlsDWx65w4cPo7m5GQ6HA2+88QampqZ2lDGrdJ4rFSrSoUpt6qPRKN58802888478Pv9VRsPoFiRgDylHR0d8Hq9uHbtGt577z2Mj4+zh7Saa5e4UGQQ2JorV69eRTgcxtzcHObm5rC6ulp1ZxBxIScMsGX0vPXWW5iZmeHmJJQbXk3Q+wuCwEXX4+Pj+OCDDzA9PQ2/3/9I2/Fqc5HJZNxU7Pvf/z7y+Tz8fn+RB7vaEEe4xsfHAWx13f2Xf/kXhEIhzk+vBQ+67F69ehUAMDk5ib/9279FIBCoWE+GJ0VNPchUWb24uAiPx4PZ2Vl4vV6WDKlVAUc+v9UB8OzZs9Dr9VhZWYHX60U4HK7JwiBQ4vvPf/5zlpVJJBJltVEuBWQMXrlyBUtLS5ifn4fb7UY2m62JJ51A8jpTU1Os5kGd66qtHEEggywWi2FhYQFyuRwqlQo+nw9ra2tF3tJq8yA5wpWVFcRiMXR2diISicDn83EYv5pGKfDQWxqJRLhFcCAQgNPpRCgUeqRzWLW4iKWQPB4PLl26BK/XiytXrsDn8/FloZoQd3ZSqVRIp9NYW1uD0+nE22+/jcnJyaqpI2wHSSBRMVoikcDy8jLOnTuH//7v/4bb7a5ZkSB5BfV6PSwWCyKRCC5evIhf/epXj3i/qsmD0vaAh+MzNTWFN954A0tLS0Xh8mryyOVyPCbpdBpzc3NYWVnBxYsX4fV6q1Jk9TgumUyGnT1ra2tYWVmB0+mE3+9HMpmsidFDXFKpFKu7UMe8YDDI3utanTPA1tlL2u3BYBBut/v3wgN4qMlPXMSRwVpD7MWlVuC1Bq0hWiPiwvhaQ7KbD5ZIJCWxJE+YWq1Ge3s71Go1u+/F4uSPy2UpFAqPdO8ol4sgCGhuboYgCGykP4lhup1LOTxUKhUEQUBDQwPrEsdisSeq9q7UmJDnRaPRQCaTsVA6tSV9kg20klzkcjnnHpHSSDqdfuKbdDlcxN5KkuDT6XRFUYVsNvvE1fjlcKH+85RaolKpuP0pbWK7kb4rdd6SbBdp/lLuNRk9JTQ5uFUoFI6UwoXWCrWxd7vdrG0O7D7qs5vnsz23W6fTobe3F11dXfD5fJicnOQ20MDuIz+74SJullMoFNDR0YEjR46gpaUF9+/fx82bN/mQLUUXezdcqBkFcTl58iS6urowNzeH6elpBAKBslJMdsNFLpcXjc3Y2BhfMKkRj9gLXy6X38VDHG1oa2tDKBTiS7/4wlAJHh/HRfx81Gp1kXRauZ0vy5kr9PkVTBXYFRfR6ypukO52PVcrRW63XKotS/lxa0jsEKnmJXKnMdkJNTGQCeSNItHtJ71JV9JAFnMRGyFPulArZSD/z2uLfujm9CSo9JiIefzP+z/xBK0WF9H7P/GirTSX7caI+M/fF5dSNvNKz1vR++725SUbyJVGNfaVOpf//3B5WnjUudS5/G/l8rTweBx2m2LhA7CyezpboDzSXXp6OqvJZZfYiUvJPMq4tVZ8TOpcdkYZt9innUtZz6cMVJRLhXkAdS51LjujPm8fRZ3Lzqhz2RlP+xp6BLvyINdRRx111FFHHXXUUcf/ddQbhdRRRx111FFHHXXUUYcIdQO5jjrqqKOOOuqoo446RKgbyHXUUUcdddRRRx111CFC3UCuo4466qijjjrqqKMOEXalYvE0SXI8LVyeFh7/H3tf2uPmeZ19kXy48+G+DZdZNaPZtI0sRVYkO3ETOE3cwgjQpGnRn9D/0H5oUaBAv7ZAjTbokjSNXdsI7NTwIlmSZe27NJpFM5yFQw453Lfh/n5gz9FDSnbEZWT1LQ9gyDMSyYv3cy/nvs51zulj6WNpB8s3hQPATr1ed7wIWF7k59PH8uJjeVFw9LH0sfxvxfKi4Pgqe66d9PrWt779n7eelPTZ64L27RjVUn8RjGrMd9OIolcmCEJTa+dWLM8Tm1KpfKK05zeBhRoxUd391oYIz3MuCYLQ1CTjaVikY7KX4yPtUkl11qkngEwme2Jc9hKLXC5/oi+AtGEWrTGyvXxehIH6R8hkMu72S+MixbbXc4ewUKdKar5Dz4+wtNPToVOjNvcKhYIbialUKsZFOLrpFtl3kPvWt779r7MXxTkGmg+lb9pxJ4dU2szlm8YCNDtb38QYkXP8TY9LuVzm7pg0Jq2YumzE88xGYyJtmiU16pr5PIwaU5Fz2tp1r3XO7PX8ISwKhQKCIECtVkMmk3EPh+fllEq/Nz0jg8EAlUrFrbGlzb3Ied4rLISDHHej0cgX4VqthlwuBwDcfG0vsdCzIRzVahUqlQoKhQLJZBJA45L1v8JB/qYPDqk9jckAns+h2zrhpU0xnjcO6WdJmSdpZ7/njeVpbIF0nPYaTyuWVkZOoVDwZr6XWFq7Gn4dll62a31WHDQG1B78ad0o9wJT66HZyuYQU1itVp84uHqNRzo2T5u3UtZSyobtxTymcZEyX3TI1+t1xtLKqOw1FnJ0qtUqY1IqlfyZ5HDQuPTS2Wh9PnR4lstlxkQHrEwmY9aJcPYCy9OcX3K4aExKpRLkcjkEQYBKpWInQyaTtdVOvl0sAJpayJtMJmQyGSgUCiiVSgiCgFQqxa8tl8tdORtfhUV6/tE6MpvNqFar0Ov10Gg0KBaLiMVi/Jrd3d22W8s/K5ZW/8DtdsNsNkOr1UKpVCKRSGB7e5v/fTwe75ljSp9Nf0r3t1qtBovFAr/fD7fbDY1Gg52dHWxubgJoOO2BQKBnz6gVE7HEcrkcpVIJOp0Ow8PD8Pv9sNvtSKVSWF9fBwBks1nMz8/31EkmHILQcFuVSiWKxSIUCgVsNhv8fj+mp6dRLpcRCAQAAPF4HDdu3Oh4LffcQaZJrlar+WAQBAGiKLJXr1AooNPpkM1mn5jkvdysabGp1WoAjQmkUqlgNpuxs7MDoBFm0uv1SKfT2N3dbXptrzZrKQ7aoDUaDaxWK8LhMG+aoigikUigUCg0OdG9dMYIi0ql4luoTqeDzWbD1tYWb5gmkwk7OzvI5XJNWHrpjNEBqlQqoVarUalUoNfrYbFYsLW1BYVCAZVKBYvFgu3tbWSzWX4mFFrqFRYKYdEhBQB6vR6iKPJmSHMnFoshnU4/gaVX84WeDR3exBro9XpEo1F2MsxmMxKJBNLpNG+KCoWCmYVujQ5JwkFrxWQyIZVKoVQq8VxJJpNIpVJNOIrFYs82a2ItVCoVz1GdTgeDwYBMJsMbuMFgQC6XQzab5UNLEAQUCoWeH6g0PlqtludNoVCAIAiQy+XQarUolUooFArsfCmVSuRyOf65V1iI7dLr9byuKpUK1Go15HI5h/YJD9CYZ+l0mn/uBRaps6PRaHje1Ot1aDQaAA2ZgSAIKBaLyOfzAAC1Wo1MJoNsNrsnWKTzRqVSQa1Wo16vQ61WQ6/XY3d3lx1TjUaDdDrNzmG3JsVBa4nmr1qtRrlchkKhgN1uR7VaRSKRANAYk1Qq1eQY9hpLrVaDIAgwGo3weDw8Lx0OB8rlMsLhMIDGGpI6hr3EAjw+52iuulwuOBwO2O12aLVaxGIxdr6q1Sp2dnYYWy9xSH+meeNwOHDkyBH4/X7kcjlEIhGsrq4CaDiC1WoV0Wi0p1joT3IwyWlWKpUYHx/Hd7/7XcTjcSSTSTx69AgAEA6HEYlEkE6ne4KlFROdKZVKhS++JpMJp0+f5jPQYrEAAB49eoTl5eWeOsjSMSEnnX4uFos4cOAApqameO8FgPv37z9BorRjXTnIxBSoVCre/EqlElQqFex2O8xmM9+W1Wo14vE4H+7lchmrq6t8uAGPN7VOBpWwCILAWMghdrlccLlc0Gg07JAlk0nGUiqVsLS01MQ60YJt1yEkdk2hULBjTtS/y+XC4OAgDAYD6vU65HI5RkdH2QkqlUpYXFxswkGOeifOoBQLOX3VahVKpRIOhwOjo6PQ6/V8cOzfv5/HkZwsKYNBOMvlck+w0Pjb7Xbs378fQONwMpvNyOfzzFDS59E4AGAcnTiDhIU2YwDspJtMJgwMDPAB73Q6m5yrer2OpaUl1Ot1/p1cLkexWGQdVKdYdDodgMbhRHPEZrOhWCzCZDLB5XKhWCw2XeRWV1f58wlLoVBAoVBoC4sUB81bm80GrVaLarUKv9+PcrmM0dFRuN1ulMtlRCIRniPBYBDBYJCxKRQKZLNZ5HK5tp1kKRYpW65UKmE0GuFyuVCv17Fv3z44nU6USiXkcjnGQocnOX5yuRyZTAbpdLptJ5k211aJgEKhgNlshsfjgSAI8Pv90Ov1KBaLzPxVKhVks1m+aAKPHY1kMtm2kywNyUux0NyxWq08Z00mE1QqVRNzXCqVEI1G2Sml+R+JRNp2kml/bMUiZUi1Wi10Oh1cLhfMZjN0Oh2q1SpfRqXPSKFQIB6PIxwON13K28HSalLtpkajgcFggNvthiiKPK81Gg10Oh22trYYiyAIiMfjAIB0Ov3MWL4qSkrPiNaWRqOB1+vF+Pg4dDod0uk0FAoFTCYTotEoO+b1eh2ZTAaCIPDF+Fnt67AQHmKOPR4P5ubmMDk5iVgsxmx2IpGA1WoFAORyOZjNZqjVagSDwZ44PlJ2H2iMu8PhwPDwME6cOMHjs729ja2tLd6rd3Z2oNfroVKpeoZFarTGdDodPB4Pjh8/jh//+McQRRF37txhRhsAAoEAXC4X5HI5dnZ29gQLAPYnBgcH8cYbb+DAgQO4d+8e1Go1X1rK5TLMZjNqtRoKhcKeYaG5pdVqMTs7i2PHjiESiSCVSrH/kM/nYTAYnvAhemW1Wo33ZkEQYDKZ8MorrzChRc5zOp1msraTCFXXDDJtPna7HQDg8/kwODgIp9PJBzfdzoeHh3mBxuNx5PN5qNVqnmy1Wo2djE6YQVr0RqMRANghHR0dhU6nQ7lcRqFQQDabxdDQEIcMkskkdnd3odFo+ICvVqsoFArY3d1tCwsd7EqlEgaDAQBgNpvh9/sxMzMDk8nELE42m8Xg4CAffMR6abVaPsSq1SpyuVxHzK0UCzlfer0ePp8Pc3NzEEWRN8tCocCOSaVSQT6fR6VSgdFo5BtppVJBJpPpaMJLsUiZpIGBAZw+fRpOp5NDr6VSCcViEeVyGeVymRMBbDYbRyF2d3eRTCY7YgWljjqNi8FggMfjwdGjRyGKIsxmMz+ncrnM7FupVIJMJoPT6WSmp1AoIB6Ps76wXSMsNF9MJhNGRkbg9/ths9l47ubzeX4+NEZqtRo+n48P9Fwuh+3t7Y6cdUEQmtaPKIoYGRmBw+HA3NwcnE4ntFotUqkUisUi3G43s4BmsxnDw8PMdqXTaWxubnbMThJzTWtUoVDA7Xbj8OHDmJmZwcDAALRaLcrlMju/tGY9Hg/27dvHjkYikcDq6ipyuVxH84XYR+kl3OVyYWJiAocOHcLw8DA7Ovl8nudrsVjkdU4bdiQSwdLSEjKZTNs4iEEiDAB473W73ZicnMTIyAg8Hg8qlQp2d3d5nVYqFRSLxaZDbGNjA3fu3EE8Hm9bAkfsGq1rAHzBNBqNcDqdcLvdGBsbg8vlYhafmKdarYZEIsGvXV9fx61btziy18m4SPWYFKU0mUzw+XzweDwYGxuD3W7nqINKpYJer0e9Xkc0GuXXbmxs4Pr169je3m5rXKRsORmFhA0GA/x+P3w+HwYGBjA6OgqbzYZ6vQ6DwdA0l2nNPHr0CDdu3GDWud0xkSa+AeDxUSqVcLvdcDgc0Ol0OHbsGMbGxpBOp2G32zEwMMDRTmJGl5eXce/ePSiVyo6wSGV7hAUAXxq0Wi3UajXm5uYwNTWFQqGASCTC+4/L5WpiJ5eWljrCIsXTytZK/45kHlNTU8jn81haWsLw8DAEQeCxAoBMJoNUKsWRmnbPRakc6mkmlR0ODg7C6/UilUohHA5DEATY7XbeC3Q6HZ9pUhKlXTxfNd+lDK5Op4PX64Xb7QYAJrWICCAc5XK5o6jQs+KgyMvJkyfh9Xohk8mwsrKCUCgEoDG/9Ho9+5btWr8Oct/61re+9a1vfetb3/omsa4ZZGIShoaGAAA/+clP4HQ6US6XsbGxgUuXLqFSqTBrODg4iIGBARQKBSQSCeTzeWZ1SFrQja6UdIgA8MYbb2Dfvn0QRRHBYBCffPIJ639lMlkT25JKpZDJZDgcTJKGThjB1vD96dOnMTU1heHhYezs7ODdd99lHHa7nceEWORMJvNEtmwnY0IJOMTyA8Dhw4cxOzuLAwcOIBgM4rPPPoNMJoNWq4Ver4fX64XX62Utaz6fZ/Yrk8k8UfqnXSwqlYr1Qfv378fExAROnjyJbDaL+/fvI5lMQhAEVKtVZjOINSM2GWgwyPT7TrGo1Wp+D6fTibGxMRw5cgRyuRyrq6sIBALMqhuNRlit1qbMZhqXQqHA49sNFqmelBiD4eFhrKysYHV1FZVKhfXIoijCaDRCqVQinU4zllwux/O7XRy1Wg0ajYYlMMTqzM7OYm5uDltbW7h37x4ikQiABntJmmStVtvEWCaTSahUqifYmnaxiKIIoMFm+/1+HD16FMeOHUMqlcKDBw8Qi8WQy+WaNJ1utxsymYw1i4lEglmWTrFotVqOklmtVrhcLszMzGBubg4KhQIbGxvY2dnhXAalUgmtVgu32w2tVsuMBjGkrfKEdvBotVo4HI1S0jabDXa7HdPT0zh27BhrkEnGEY/HWR89NDSEmZkZDslubW2hUqlwsli7DDKxkfSMzGYzBgYGcPDgQUxMTECn02F0dJTDz48ePeKwvtfrxcTEBDOUm5ubnHjVCZbW6BSF66empnDw4EFm/Gn/WlxcbIrw+Xw+HpdAIIBsNstymWc12htIogA09izKoxgYGMBLL72EoaEh7Nu3D4VCAffu3WOmTa1WY3h4GBsbGwAaTGk6neZ9tx12krBI8VMyoEqlQq1Wg9frxejoKN58800UCgX89re/hdlsZiZ8ZGSk6WxOJBLY2dnhfIB2mPXW10jP1Wq1ClEUMT09jZ/97GeoVqv4zW9+A0EQMDAwAFEUodfrORmtVCohmUx2jOXr9iQ6u/V6PY4cOYLp6WncunULN27cgEajgUajaUrgpEgNRWbaxfIsRuvl29/+NsrlMoLBIJxOJzQaDeLxeFPUG2icjdLKEs9qz4qH5GV+vx9erxcOhwOpVArBYJAjYyRvpTO/k4jms2IZHR3F9773PYyMjCAcDmNxcZFZ61qtBlEUOa+rVCq1tY66cpC1Wi1EUYTb7cbU1BQAYGBgACqVCuFwGOvr60gkEshmszCZTMjlcnC73TAYDKhUKtBqtVCpVPyAu0kuosQLURQxMDAAoCGxoHDa8vIykskkcrkcjEYjdnd3GUsmk2HHQJol34luhkLD0gOV9NiFQgHz8/OcjGI0GlEqlVjrWSwWGQdNVqnuthMsFL43mUyMZWxsDCqVCoFAAMlkEvl8njN0jUYjBgcH2SkgZwkAyww6xSItUwM0Dvd9+/bBYDAgGAwiHA5jY2OjKcPc5/NxiFLqEEud5U6x0MUAACwWC/bv3w+Xy4Xt7W0sLy9jbW0NSqUSlUqFQ33kEEgTZ8rlcschLWk5IzrcPR4PDh48iOHhYSgUCty5cweBQIDnhN/vhyiKnFxDYS0AT2iU28Uhk8mg1+sBNORSx44dw+HDh2E0GvHxxx/jwYMHiMfjqNfr8Hg8jFGv16NUKvHhUCqVWJ7UiV6dvis5X36/H6dPn8bp06dhNptx+/ZtLC4uIhwOY3d3l7XJer0eHo+nSZJEY9IpFjKz2QwAGB4extzcHI4ePQqXy4Xr168jEAhga2sLyWQSpVIJRqMRDocDg4ODUCqVPHfpQAXav/RKq7nQ3uL1ejE3N4fjx49jbGwMGxsbCAaDnCSTTCYhiiJ8Ph+MRiMnpdHn07i0u++SzlqhUMDpdAJorOejR4+yg5zNZiEIAsLhMO7cuYOVlRVYLBb4fD7WthIWoHGwd0KQEBa5XM5heIVCwZeGqakpaDQallKsra1haWkJLpcLY2NjGBgYQDab5fVXq9UYS7sORqVSaXLUgcYcnp2dxalTp/DSSy+hVqtha2sLX375JVKpFObm5jA6Ogqfz9fkYOXzecbRyRlAz4ecdXKaTSYTDh06hDfeeAMulwvVahUXL15EOp3G4cOH4fP5WL9Oc5WSOTvNh5GWcKOxIkwmkwlzc3P4wQ9+gKGhIVy+fBkKhQIjIyOw2WzQaDSoVCosaUskEnwZ7wSLVEsr/RlozBuj0YiXXnoJx48f5wvm6OgonE4n6vU6gsEgtra2mrBUKpWOcnNaP7/VFAoFXC4Xjh49CpvNhnQ6jZGREbhcLmSzWWxvb/OFKpFIoFgsolqtdiT3IznH1xklLR44cACHDx/GkSNHYLFYEA6Hsba2xlh2d3fZn5OeC+1g+TojCZHVasXrr7+O06dPw2QyYWFhAYFAgC9TJHWr1WodjUlXDjIlxLndbni9XgCNDZtYx0QiwYlUhUIBcrkcyWSS9T1erxfBYLDpS3eqWaRkDNJCAsD09DSXZUkmk+z0lstlKJVK1iiSk7++vt50w5U6Hu3goBuox+NhHGazGZFIBLFYrEmHBzxOBNHpdHA6nRBFsenmLk1kbBcLMfx0oB46dAherxexWAzRaJT1rMQaSLFYrVbodDrWpNJNuVN9OGEiR2N2dhZ+vx/ZbBbhcBjZbBaVSoUnP2UI6/V6GI1G1gwCDb1jIpHoeFzodXRx2L9/PwYGBpDP55FKpbC7u9uU/UrYDAYDdDodMzEAmE3uFZahoSE+LCkrWVrqhyIMlARBZavI2tXN03eg19AFhpguuVyOUCiEYDDIDGmlUmHmmpxYGiOgMW9JM93pmEid9fHxcUxNTaFarSISiWB5eZkTQ3Z3dyGXy2E0GpnJpqRJAKwD7gSL9EAnZ9lqtWJsbAwGgwH5fB5ra2vY3t5mPHQppZyHSqXCe0kikUAmk+mYCCDWlr4LJQhaLBaUy2U8evQIa2trfHmQJiJTIiPte8FgEKlUquMomUwmY+0lAHa+LBYLFAoFXxjm5+exsbHB+4zD4eDzgJyelZUV3qM7db6oEg7Q2B/ofCqVStjc3MT6+joikQgikQj/O5/Ph2KxiFKpxOz+4uIiJ3G3i4OSqeg70N5FuQS7u7sIBoO4cOECFhYWYDKZsL29jeHhYc5xoKoEd+7cQSwW6yqKKSV91Go1VCoVfD4fHA4HzGYzKpUKLl68iIsXL7IDRvtaNBrF3bt3AQC3b99GLBbrONmKWHVaQ1qtFjKZjMfm0KFDUKvV2NjYwN27d6HRaJg5LxaLCIVCuH37NoDG8+l03ko1xmSkX6cqPadOncLLL7+Mffv24dKlO377uwAAIABJREFUS5zYqdPpsLOzg/n5eR6XWCzWtM91Golp1a3TfuN2u3Hq1Cn84R/+ISKRCDfpEAQBwWAQ165dw8OHDwGA95pOsLReXAiH9O/VajW8Xi/+6I/+COPj43A6ndDr9chkMrh27RquX7/O1T3ocknf5VmxfNXnS42i86Ojo/jTP/1TfP/734dWq0U8HseHH36I+fl5jti1vme7kZieVLGQyWTw+XwAGszRysoKrl69ivn5eUQiEZTLZRiNRkxPT+PgwYMYHR1FpVLB8PAw7t69yxtTNzQ83U4FQcC+ffsYSygUws2bN7GwsIBgMIhisQiDwYD9+/djcHCQb9AOh4MTSQB0nAVKCRUKhYIvDbTA7927h0ePHnG2PyXMmUwmGAwG3tBIagGgoyoAZHSQCoLAzEq5XEYymcTKygoikQjC4TAnS1LlBvqvXq8jn89zYhwlOXXiaNDhRWXByBQKBVKpFLa3t7GyssKJOxaLpYkB393dRTqd5rlCIdBO5otKpeIQEDn/JDHJ5/NYXV1lLEDjAuV0OpmVTKVSiMfjHB7OZDLI5/MdzRelUslVTsjRNBgMsFgsqFQqWFpawsbGBjPWBoMBNpsN+XweSqUS0WgU0WiUSx5Roli7WOgyQFn29L0tFguq1Spu3LiBhYUFbG1tcZifEjh1Oh0ymQzW19ebmJVO5y4xpVLZiUajgVarRaFQwK1btzA/P49AIMBSJZ1Ox9nMlUoFwWCQWQSSYXSSoEebu0ql4jGlAyqbzXLC0O3bt7nigNlshtPpxP79+2GxWLC6uspyj0gk0iSh6gQPlXADwKHWXC6HtbU1rK2t4dy5cwgGg6jVajCbzZiensbMzAz8fj9WVlZ4XEKhUEeVPYDmerHEMno8HrhcLtRqNSwuLiIQCODixYv8nERRxNjYGAYHB+F2u7G4uIi1tbUmLJ3MF2LAKZEVaESEPB4PbDYbKpUKbty4gcuXL3OpSLPZjPHxca6wsbq6iuXlZQAN6QlhaWevI4dAKjUyGo0YHR3F3NwcxsbGEAwG8fHHH+PevXuo1+vwer3Yt28fJ50+fPgQCwsLABplu1KpVEcJ2uSgULgdACcC+3w+TE1NQSaTIZ1OIxAIQK/Xw2q1cmIwOceLi4sA0FTaspOLA/1HkRSqEqFWq2E0GmE0GuHz+ZBOpzE6OopkMgmHwwG9Xo/l5WVcuXKF1xDJITuJfEiJBqn/QgnKGo0Gk5OT+OEPf8jn3+LiIkwmE+RyOR48eIArV67w3p/L5Xj+d8LYtrLZ5LxT1Z4jR47gj//4j2GxWPg8p2ICly5dwt27d/nCKyW72o3EPC1hsRWXy+XCd77zHUxOTmJ6ehrFYhG5XA7JZBKffvopAoEAr796vc5yqXbm77P8O7VaDYfDgddeew0//elPoVarkc/n8eDBA/z3f/83QqHQE530Oi1R27GDLC3Nsn//fs5m1Ol0kMlkyOVyPHkolE2yA1EUsbu7C1EUkc1m2RnsJLObsNDNfWRkhB1Th8OBSqXCTis5VFSHkzJjSe6RSqXYKeqGKRUEATabjZnSwcFBFAoFrK6uQq/X88YrCAIqlQrcbjeHHBUKBRKJBFcl6BQHvRc5m+QI2u12vkzYbDasrq6yE1qpVODxeGC32/nneDzOzhmNTSdGtQkpixxoHGK0iQPg8BA5AIODg7xJptNpRCIR3pi6qQ1KzpfNZmOGUhRFDgdRebLd3V0eh8HBQR6XSCTCjCGAjjLvyWq1RntMp9PJFTVIk5jJZBCJRJrmrVwux9DQEB/8m5ub2NraYgc5Go12xMJJy//RBYbWRiKRQCAQaNIwCoKAoaEhrlYTCASwsbHBN/dwONwRDuCxfs1qtfLFzmw2o1gsIhqNYmFhAfl8nllDpVKJ4eFhjI6Owmq14t69e1hZWeFw3+bmZse5DTQuoig2XWDy+Tyi0SiuX7+OSCSCer3ONXbHxsZw4MAB+P1+bG5uYmFhgR2NQCDQMRY61KVlNQ0GA7LZLJLJJO7evcvOHc2X8fFxHD9+HFNTU8hms3jw4AGuX78OAE+UlGzHpM+WygJarVYUi0WsrKxgfn6eL2+lUgkajQZjY2M4duwYJicnkUqlcOvWLVy7dg0AuGZqp1hofKTVPaijViAQwI0bN7jygF6vZyxerxebm5v48ssvcePGDQDA2tpaV1iq1SqPiSAI0Ol0yOfzmJ+fx+XLlxEOh6FWq7maxczMDJxOJ27fvo0PP/yQ2cmtra2OS2TRmJBUjYycYLPZjHv37nGEd3h4GE6nE36/HwqFAjdu3MB7773HDReohFk3OlKpQ1sul6HT6TA5OYmXX34ZtVqN91STyQSz2QyXy4VEIoELFy7g/PnzTVWDOnHUW7FIx4jKI546dQpzc3NQqVQIhUJwOp1M1Ny6dQuffPIJ7t+/zxEhaQnSXhjtI6IoYv/+/fizP/sz1uqTTCqXy+GLL77Al19+yRWLgMd5U536C08zaZ7Bn/zJn+DEiRNQqVSw2WzY2dnBysoKLl26xNJRumzTHtdLLCTRnJ6exne/+128+uqrsFgsiMfjWFxcxNtvv83kI60ZwtFp5KMrB5kKRhsMBl6EarUaBoMBTqeTG0+4XC5MTk7C4/E0haapLJO0GHanA0qheb1ez7pSOjyp/Indboder8fk5CR8Ph/X3CWdlrQRRSdYZDIZyzdEUYTNZgMADvvS+5Hj7PP5uEsPlTkjRlWanNdpaLhcLjPTR7psal6QyWRQLBZhtVqRz+dZw2m1WpmVKpVKiMVirDvuFotSqYTVasXg4CAAMDNMzVHIGaLNymazweFwQKVSIZlMsrPYLRZisu12O0ZGRgA87soTj8dRKBT4GanVajidTrhcLtjtdpTLZWaPe4nFZrNhfHycP5MkSsViEWazuamA/uDgIIxGI1KpFPL5PHZ2djjy0anzRTgsFgsmJycBNBx1mgPFYhEWi4XX78DAAKanpyGKIusTqXRjNzikrzWbzRwNItaE5iNFGIAGc3nkyBEMDg6y/IMYLwBdNbehZ2swGFi6pdFoeB4Ui0UYjUZmDv1+P2vzFAoF1tfXEY1G+ULXzcFOWMi5AsBJb8lkkkuXORwOGI1GDA8P48iRIzh69Cg3mdnY2GAGuZv6pFKJB60V+l0mk2H5kyiKUCqVGBkZwdzcHCcSPnz4EIFAgC9UvaiVStI2wlUqlRCPx7G1tcV1zpVKJQ4dOoQjR45gbm4OWq0Wq6ur2NjY4EtmN04pRRzoDKI/SdZBc9HtduPYsWOYmJiAxWJBKpXC3bt3sb6+zhfuXoyJVBpEumLaM2hfdjgcGB8fh81mQ61Ww+3bt3Hu3DlEIpGmZKdeJlkRS2o2m7kkKsk7PB4PS+zOnTuHmzdvcsRwL7BI5Qw+n48bdtVqNTidThgMBty7dw/vvvsu7t+/39TFr9uiAk8zuVzOyfuUA2M2mzn5en5+Hu+99x5WV1ebuhv22iElLHq9Hna7HRaLBcP/U9KSZFs3btzAb3/7W0QikaYL1F446pRsPDw8jD/4gz/A4OAgJ2yeO3cOn3/+OUtEpeumGxxdSSxIk5nJZDi0arFYMDQ0hKNHj3LFAqr5WK1WuetWPB5HIBBALpdrqnVK79uujqdcLkOv16NarfJhVCgUYLVaMTo6yuFer9eLoaEhZp0UCgVisRi2trZYyyjF0u7hSt3gSIMINJhRKjqeyWTg9Xqh1+vZ0Tl48CDMZjO2t7exs7PDYRKguzbL5XIZLperiSklRsFqtWJoaAh2ux21Wg12ux12ux2HDx+G1WrF1tbWE4XPpVqidrGUSiUMDAzA6XSyHpq+o1arhd/vh8FgQKFQgMFggMvlwsGDB2Gz2fDw4UPGIg1JfV39yK8yCv1Qpya6xACN5ySXy+H3+6HVarkihNPpxOzsLPR6Pa5evcr1l6UNVOi928VCtaZtNhtfEGq1Gi/00dFRmEwmFItFCIIAt9uNgwcPQqFQ4MqVK1wvmjbJTrHUajUYjUaW+wBgXWa1WuUkFWKRKSO/Wq3iypUrnFAkTZzspEoDYTEYDE0VNYrFIsu19u3bB5/Px0XoqdGBRqPBgwcPuP4wXRo6HRPCotfrmyqeVKtVbno0OjoKAPwMfD4fZmdnMTAwgPX1dRQKBSSTyabuVp2OS71e57A0XQ7q9TprNYeGhlCv17mW+r59+7B//344nU6Ew2F2kMkRlMokOjHStJLlcjmOfLndbtTrdY6kHThwoAnL2tpaU7JTN1jo0kCXBaDx3NbW1iCTyWAwGHDs2DGsrq5iaGgIr776KkZHR2G32xEIBHDv3j1sbW1xRKgbLNLuk0DjkhmLxTg5cmZmBi6XC0eOHMHs7Cy3nCaWNBwOs6St2+dDycg0b0l+lEwmYbVacfDgQWxubmJwcBBDQ0MolUpYXl7GO++8gzt37rBcqxdYKGpJ5yo1a6H3G/6faj3UMbRYLOLu3bu4cOECwuEwSqVSkyPYLRbg8Rmv1+ths9ngdrv5+WUyGZZVZLNZ3LhxAw8ePOAot/Tc6QaL9JwHGmvKarVysQPqsmi1WpmE+OKLL7C8vMzR+V45oq06ZEradzgcsFgscLlc8Pv93PRta2sLZ86cwerqKp8Lvbi4tCYKkjacCgmcOnUKx44dA9DIo7h9+zY++OADjrh0Wmnradaxg0zhaMrappBDKpWC1+vF2NgYh9SJESM91dDQEFwuF+bn52E2m/nL0KHWyeFO2eHSChC5XA4ejwdDQ0PcJpgOu1KpBL1ej4GBAWbmTCYTf/bu7m5HTUIos1av1/PGVCgU4PP5uGKDKIqsJQXAxeNJE2swGNj5kiYbtWNSLK2Hu9fr5daipH0liczw8DAzYsTI08YkvTm3i4Vu2tJFVK1W4XQ64XQ64fV6Ua/X4XA44PV6US6X+bmR3owuQN1gAR4n09TrdR5binxYrVZmUtxuNzweD3K5HAYHB1GpVFinqNPp+HuQk9qJUUitXC6zE0UVWUwmE6xWK4aHh2G325nt9/v9XJKQ5AjEVHXa3rlef1yOhy6YWq0WtVoNFosFNpuNE6yMRiO2t7ehUqlYllQqlbh6C4CmA61TLJVKhdk0km5ptVrW45FcZ319ndk2ikoBj6uCdNvymnTi5EBR2SCdTgeHw8Gd7ERR5MswyYS2t7eRz+ebysx1c4hQ+SYqSUYyMtLJU+a40+mExWJhiZJM1iigL20V3A0WkogJgsAOXTKZhEKhgMVigdPp5DPBarXC6/VydYR0Oo35+XnWSUvfs1MjiR1Fu2q1GictUQtnj8eDkZERjI6OwuFwIJ1O48qVK7h9+/YTLZS7kbXRGgCaq31QqUiSAzkcDmxsbODatWv49NNPEQqFkM/n2XHrdq5Q1In2fsoroXNBp9Phtdde44v5O++8g8uXL+PBgwecx0Cv7bZ9PUWe6EKl0+lQrzeqiiQSCVgsFvzoRz/iSO6//Mu/4OLFi5yMR6F+AB03ZCKTao4BcCOJra0tjIyMwG63Y2hoiBNaHz58iNXV1SbHnNZzt7ITujRIsdTrjTwXg8HAzTgo6Xl1dRXb29ucgC+9dPSiW50UCyXgymQyvtCRFFVK5kkbtkjHpdv13Br5MJlM+MEPfoAf/vCH0Gq1SCaTCIfDXAJVWv2IXtstw98Vg1yrNbohbWxs8GGUSCQwMjLC7XGJjbp37x4ymQx2d3dx6NAhdlTNZjPrSjtNACMs2WwWsViMdVNAw0nOZrPcTUmlUuH69eu8ee/bt4/Do6Io8iHYKZZarYZ8Po9MJsObLjnEcrkcBw8e5ENraWkJhUIB6XQaTqeTE9FEUWwak06NxkSqaaYLi1arxcTEBNexpZad0q5+xCrSmHTjZNBc2d7eZmfcbrfD4XBAq9VienqaGdJ4PM66cGIJSZdGDlM3WOr1OmKxGDY3N3l+0sXFZDLxnBgeHkY2m+UMZioH6Ha7eVx7gSUajWJ1dZU3F5IsUe1f0ghSxzqqfymTyWC32zm8TuPcDQ5phQStVssJcORkUGt0URRRr9cRCoVQrVZhNpu5akI3OAhLPB7n8CLQOGBFUeTSjQA4MkJVA6jCBl3epZVgusGSTqextbXF70eJNG63mzdlrVbLrYypffPm5iaWl5e5FFQvxiWbzTY5TkQI0CWbkpCpc5tWq0UikcDy8jLOnTvX9D26ZXukETeg0Q2PGEmqCGMymTA5OYnh4WFUKhWsra3hgw8+wIcffohQKNST+QI8LvtIB6O0HrXH4+E1dOTIEZb/3b17F2+99RbW19ebKhF0g4XKfRGOWCyGQqHAc7dSqWB8fJwJkU8//RQ3b97EhQsXnrj0dzsm0uQ4ACzdy+VyUKlUKJVKGBwchFqtRjKZxCeffIK1tTXWyUs/v1ssrVFHqmJCEjJBEOB0Ohnf559/js3NTWxvbz/h5PQCi9SxpERGukTZbDYYjUaEQiEkk0lcunQJkUiEzyV6fS+wAGhi+encEwQBExMTGBkZgV6vx9raGqLRKK5cuYJkMsnPki4P9L26NcpHovejCOrrr7+OiYkJKJVKhEIhrKys4OzZs0in01xtSjou3WKh/BIyo9GIiYkJ/OQnP+Eynpubm7h69Sref/99bG9vs/a4lzi6cpBpw3748CGzX1Jni+rXFotFPiRIPkDlsiicDHR/kOVyOSwvL/Ohurm5iWAwyAwLlULa2Njg0lhUw5UcVamj0Un4ol6vo1AoYHNzk5Ou0uk0f0ez2Qyj0QhBEPiwUqvV2L9/P4BGNvf29nZTibluQo+FQgHb29tcTo82YLqcaDQa7ueuVCphNpshiiJSqRQWFxc5TNwLLKQ3JoZydXWVGXMKoezs7CAcDkOj0eD48eMolUq4e/curl27hnA4zOPSzQIgmYU0QXR5eZmlJlR7c3d3F+FwGGazGW63G8lkEjdu3MCVK1eaCrR3i0XaxpqwpFIpOBwOOJ1Obtqys7ODgYEBvmA8evQIN2/e5DbXZJ3OW6oEQKz64uIiQqEQXC4X3G43M9WkkSONciAQwM2bN58oA9VN+I+kAjT3KJk0Go0iFApBFEVus2qz2Tih8fbt27h8+TIikQgfXt08H3ptuVzmube2tsaXz62tLej1emg0Gq4UkU6nce3aNfzmN7/hygm9OLyIMaJW8AA4EbFarSIcDkOv1+PQoUM4ePAgt6W9efMm/u3f/g03btzouIzm07BQZjjNF7qEq9VqpNNpGI1GHDlyBK+++ipkMhlrW9977z3eg3uFhaqw0N5PLb+z2SwikQiGh4fx2muv4ejRo9je3sb777+Pc+fO4dGjR5z01Rra7QSHVPoCPK4sQNGV2dlZTE1NQa/X44MPPsCvf/1rRKNRLpHYy3B5KxZiO+12Ow4cOICTJ0/Cbrdjc3MTf/3Xf81NvaSJZ71wNOj5tI4vNUM6efIkJicnodFosLS0hL/927/FrVu3OCLUS50vYZG2jicHdWJiAt/5znfg9Xohl8sxPz+Pt956C2fPnuVoxF5gkZa/I6Z9ZmYGp06dgsvlgkwmw9bWFv7pn/4JX3zxBRKJRBOWXuEhLNJos1arxYkTJzAzM8PERDwex/vvv88VyFq1x91aa7SBcqm+//3vY3h4mGVJS0tL+PDDDxGJRDjiQZ//jUssyMrlMtbX19kBE0URd+7caaLcSSOm1WphtVq5uH8gEOBNFej+S5VKJaytrbGuzWQyce1EqgdJsglqDEGNTNbX15uqaHQz8QgHOYJmsxnz8/PcQIAc11KpxIX+U6kUQqEQQqEQCoVC15u1FAsxJECDdaOfHQ4HqtUqM5CHDh3C0aNHkUwmsbm5iZ2dnaZuUt1qjEqlEj8bAMwQpNNpllNQ2OTUqVM4evQowuEwHj16xE6glLHq5kJFyWcUbaCGBuVyGfv37+dL09bWFt58802cOnUKkUgE6+vrfHuXlgnqJqREFSsoYalSqXBN7tHRURgMBty9exeJRAI//elPYTQaEY/Hue5ua8kiYt3bNZIp0ZqMRCLQaDRYWFjgWrulUgkqlQpvvvkmrFYrMpkM4vE4a6Zbw8OdPiNigamEUSwWg0qlws7ODuvlKZdgfHycL5yLi4ucICYN93X6fMhRqFarfCEqFApQKBRcqpHkJxqNBhaLBclkkkvRkVNNWOi9umWS6TIVj8fZ+aBOmBMTE6ynXFxcxLvvvotr164xfukz6mbe0r5AzzibzXJOh81mw9DQEE6fPs15BP/xH/+Bc+fOYXNzk51jaWOmTp0PctalRrIGkrcdOXIEhw8fhlarxfXr1/Huu+8iFApxxKH1/TrFIW3KATzWT1KHx5GREZjNZuTzefziF7/g/b7bkPTTsFDom7CQzNBut8PtdsNoNCKfz+PcuXN49913uYpQL52ur8KiVqtht9s5OVAulyOVSuHXv/413n333aaExl6aTCbj8pE0fykR+8iRIxBFkcmIX/7ylzhz5kxHcstnMZLASLFQhPLYsWMwm82cUP/JJ5/g3LlzXGGp11gUCgXX9yfTaDTw+Xw4fvw416XOZDJ48OAB5ufnmT3ulEz8Khx6vb6pLj8l5h09erSpr8Xdu3fZl+y0gdnvsq4dZOlmDYA3YbqhUahGJpOxxjaRSHBIUlqSo9tBJseTWJJMJoNgMMh6FjqYZLJGDcYDBw7gzTff5AVCTEK3WIhdInaSGhvQDY00YHK5HJubm1hZWcGRI0eg1+thsVia6vt2OybkAJNOkNg+ygglxkAulyOdTuPP//zPOXFPEIQmqUm3TnulUuFC/UBj4n/55Zdcf5JYZso4r9cbSUlUtL8bCU6rlctlhEIhTliicI5SqcSdO3d4voiiiO985zustwwGg01JcWTd4CqVSk0JS6TPEwQBS0tLXCJvcHAQFosFarUatVrtiSxmsk6dL6rXTdIg0uYpFAqsrq5Co9FgeXmZnR6qiLK8vMyHK1m3+kna9MhZNxgM7IBHo1EYjUY4nU7WzMdiMayvr2N+fp4PMymebrCQxpzWM5V7o7WjVqs5CYvKQ928eROhUKipcQpZN6w6VemgfZbGpVgsQhRFLuNF4evPPvsM58+fRzQabSp91CssVKqSsNABa7VaMTs7y9GoO3fu4Nq1a1yGqVfSCnoP2jekib/0/4ODg5ienmZS5h/+4R8QjUY536VXrBPpnqmWPdAgR6TtwIeGhhAKhfDOO+/g4sWLTZfIXjo9NCZU3x0Apqam4Ha7MTQ0BLfbDb1ej5s3b7ITSBEBuVzelBDXrZGPQBIkADh27BhGRkYwNDTE0ZmNjQ3eA6UdLHsVaSAs5XKZiwkAwIkTJ7iyVa3WaBC2vb3NuS+0F8tksp46YrRHud1urtZz8OBBzM7OwuPxQBAE7O7uYnNzkyOF5De02/DiWfHY7XZOPD506BBOnjzJZXMTiQTOnj2Lf/7nf+Za3dJIUi+M3s/pdHKlntnZWfzoRz/iiGUoFMLPf/5z/Od//ieSySQz8b0eD6AHDnKrScM5rYcCJSJtbW1hYGAA8Xi8qZmAVATfKyzS0LH0vUmjSCW9qFTVXmChS0JrIW+ZTMYHXblc5gSFbpOKvs7ofak9MiUTyWQyDgWTY0pj1MuSOlKjsSiVSsjn85wkJggC8vk8arUa36hpM+n1zZnejzKCKaxPYRzgcaclatnd6nz1Gks+n2dWIZ/PQ6PR8DMQRZHZSkrokDJvvbhkShlBStIgp1OtVsPj8XAikrRzWK/niVQHSewkbcZGoxGzs7MYHx9Hvd5o/xqJRHqqDSSjMaH3pHJqxNy6XC7Mzc0xs0/VCIDuLwpPwyJdk9lsFnq9ntnjqakp1iI/evQIFy9e5EtGr7G0Xlqz2SxMJhN8Ph9OnTqFw4cPQy6XY2FhARcvXmwq09jLfR54nBREzz+dTsNms2FmZgYnTpyAzWbD5uYmfvWrX2F5eRmlUqnpNb3CQnIpcuoymQxGRkZw6tQp7Nu3D9FoFB9++CEuXLjQNFf3giml80aKbXx8HKdOnYLVasV7772Hs2fPQqlUwu/3IxwON3Xt7KURKUT1+KnSldfrhVKpxN///d8jHo/D6XRicnISi4uLHTdf+iqjPbVarUImk7EjePLkSYyMjLDj+fbbb+P+/fschajX602Xhl4Y7aukOSaJ5YkTJzhJfXd3F3fu3MFHH32Ezc1N3oNJAtFrLFQJbGZmBgDwyiuvYHR0lEuOXr9+HT//+c/5kiuNmPTCaH+nAgpzc3MAgO9973sYHBxELpdDIBDAuXPn8P7773OTI6mevNfWcwf5dxmFTiwWCzdnkIbZeh3ekZr0fWlzKhaLzDy36tD2Akfre1Jpomw2i52dHQ5VPw8cUuaESslQ/cm1tbUnymTtBRbCQRsX0GCW9+3bB5VKhWg0ikePHvFGv9dYgMfOlUKh4I5oMpkMoVAIGxsbvME+7bW9xEHPRavVwuFw4JVXXoHL5UKpVML9+/c5QQ5AU2islxdMWp8KhQJ+vx+nT5/GK6+8AqDRlITYydY520scwOMmGdT45pVXXsHJkyfhcDiYYbl7925T+HGv5kq9Xudo2IkTJ/Czn/0M09PTqFaruHjxYhPbs9cmCAKX3Pvxj3+MmZkZuN1urK6u4q233sLa2lpT6LzXRs4D0Ig4vPTSS/j93/99nD59GgaDAalUChcvXsRHH33UlMzTayMnlyJBAwMDeP311/Haa69hamoK6XQan332Gc6cOcPSsV7qJgkDvR85ghMTE3jjjTdY3vGrX/0K//qv/4pkMolsNtsUteylERaZTMZNqEZGRjAxMcEt6v/rv/4LV65cgUajYed4L+YssYIUKgfAZT2JmZU2O6IW5a2Jgr3CQi3RZ2dnAQAul4sby5AsZ2VlBWtra1y+ci8YW5Ke+Hw+HD16FABYgkNR3/v37+Pq1avY2dlpIvv2AotKpeKuj0CjopXD4UAikcC9e/eH4a/oAAAgAElEQVTw8ccfc5MmqYSul3OGJDATExM4fPgwgMZatlqtqFar+Pzzz/HOO+8gGo0ysUfjshfrSP67/0nf+ta3vvWtb33rW9/69n/HniuDTF1yNBoN0uk0Z39Lk+OIndsrFhlo3FJMJhOmpqagUCgQiUQ4e1NayqnXDIP084EG+zM8PIyxsTGumUo65efBmAKPwys6nQ4zMzPQarWIx+PIZDJcP7lVA9brUC0ZtTD2eDyYnp5mzTJplMvlctPz2QssxIQajUbodDocO3YMRqMR6XQa4XAYRqORs2tbm3P0Cov0mVMr99nZWXzrW99CpVJBOBxGIBDgDpHSW7w0EaYdLE9bcxSSpPXywx/+EC+//DLsdjtisRizLBqNBrlcrklPSe/XSURImgwqTRBVKBTQaDSYnZ3FT37yE5jNZuzu7uLBgwdYX1/nTlyky5a+R6dr+WnaNmLDXC4Xfu/3fg/f/va3Ua/XsbGxgUuXLiGZTHJ9agBPYOk0SkZl76RsPXU1PHDgAA4ePAifz4fNzU188sknuH37NnK5HIeK5XL5EzkFnWKhmsNSBtlkMuHgwYM4fPgwBgYGUKlUcOHCBZw5c4a7DhJ2YuR6IQ0iLXy9Xmfpz9jYGF599VXMzs7CYDBge3sbt2/fRigUYgaOsFAFjG6xkCxNJpOxfvK1117D8ePH4XQ6kc1mcf/+fdY+Ux1zMspP6cU+bzAYuDsmhcxff/11+P1+lMtlrK6uIhKJcNJtPp9vmltP2/c7NVEUuUwjdekcHR2FIAiIx+NcJpIqm1CyNICeYqnX61x6lpIVAbB8IhqNolwuIxgMYmNjgxulSHOXpJr7bs1ms8Hr9cJsNvN6pgh7OBzGrVu3cPbsWc7xoOcjjXD2gkkmmZjX64UoijzWJDfc2NjAr3/9a1y8eJGZ7NZkzl40CZHJZHC73RgYGOD27EAjKTqbzSIUCuHtt9/mggfSz+9VHlurPVcHmTpA0cZANWbJQSbd6V46xwDYIczn81x+LRaLQafTNXW/2yvtrXQj1mg03JI7FoshlUpBpVLxZ/cyMe2rsNCBr9FoEAqFkE6nuYyZdEPY65AxOaZOp5MT4jY2NpBIJHpaweJ3GTV+mJiYwODgIHZ2dpDP53H37l1udgM8KcnolUk3HZVKBb/fj0OHDnFVgkAggFu3biGdTj9RBqmbOshk0lAxad68Xi8OHToEl8uFeDyOpaUlfPLJJ1hZWUEmk+ENsxdjIdWFtj5zvV6P48ePszYuEAjg7NmzOH/+PD8b0uj2Kn+AsJDejlrCDw4OYnZ2FkqlEmtra3jvvffw0UcfNZVGbD1IusFECVSkzQcAp9OJsbExTE9Pc/vxM2fO4Je//CWHQ6X5F71I0APAtX5rtRo3mjh27BiOHz/O3VLPnz+PX/ziF7h9+zZfGr6qdFg3WKiMWr1ex9jYGADg9OnT8Pl8iEajWFhYwD/+4z/i+vXr2NnZabqwPC2foFMsxWIRGo0GcrkcL7/8MoDGmFitVjx69AjBYBB3795FOp1+QuYB9HZ/zefzMBqNEEURp06dAgCMj49DoVDgyy+/bHKCVlZWmhIne51PkM/nYbVaYTQa4ff7ATzuFnr27FluHvPgwQOu6kHWayzZbBY6nY6JGKCx36VSKbz99tvQ6XS4fv06d6qTjkkvsdRqNT7rKa8EaGjWk8kk3nrrLW6BTnKT1j2kV2cgdQalJiHf//73Gcvm5ib+7u/+Djdv3uRLlNR6sa+RVSoVxGIxCIKAlZUVxrG7u4vz58/jb/7mb/Do0aOvvUT22ld6bg6yQqHgFsLLy8sIhUK4d+8ejEYjN3+gLPG9NLoFUpvL+fl5xGIx7gxGhyAlz+2VUYmXarWKxcVFbGxscDMVadmXvb4sAOB61fF4HGfPnsXm5iYuX77M7NPzwAA0FqparYbFYsHy8jKi0SiuXr2KBw8eNBUB30sjdos6waXTaZw5cwbZbBbnz5/H1tbWE7fXXn420FzIXqVSYWtrCzdv3uRi8VtbW1hYWOAkBXpNrzBIGWi5XA6DwcDPJJfLIRQK4csvv8SDBw8Qi8W4y1Yvtc+EhZIv6vVG0XqPxwOZTIb5+XnE43F89tlnuHnzJgKBAB9oe6EHp8sK0HCQLRYLfD4fNjY2sLGxgc8//xxnzpxBKBTiLoe9nh9SFos0rna7HR6PB2q1Gvfv38fly5fxzjvv4OHDh8jlcnuWZEvjrNPpONlpenqauwx+8cUX+Pd//3fcu3fvCe1xr8eFHAWbzYbx8XH+/2QyidXVVXzwwQdNzP5e7SGVSgXFYhFjY2PMIGcyGSwsLODjjz/Gp59+ikAgwBe5vSJgCEs+n8ehQ4c4Gnn16lWk02l89NFHWFlZQSwW45bpe2nlchnJZBKTk5P45JNPADTGpVgsYmVlBclkEsVicU/Kl7VaqVRCJBKB1+vFz3/+cwDA9vY2stksgsEgV8HaSwKGjKoGKRQK/NVf/RWARmOz3d1dZLPZPdEaf5VRSVOZTIa//Mu/ZCzpdHpPcxiehmNzcxNKpRJ/8Rd/AaAxV6hr3/PyRchk7XygTCbrGJ1M1ui+5fP5YDabodPpkEgksLW1xV3jpKJrqdXr9Sfqi3WKhZxPs9mMkZERrku8tLSERCLBt9evuaHIWt6vIxzShCOv1wuFQoFcLsfZqr+LTejVmEgTKJxOJ7dgJRZZyrbsJRZ6LkqlkrtOKZVKhMNh5PN5dtZ/l3WKheYd4aDkOLPZDIPBgFKphO3tbW7o8Szrpl0sUqkG8FhWoFQqodVqOam1WCw+UaC9XSxfh0NaJ5cucqIociiQ6hMXCgUuhdSGXa/X6y89CxZpljRVy7BYLBgcHITVasXS0hJfWMrlctslmNp5PhRVABqyBiqn5na7kUgkcO3aNaRSqY4TRtrBIggCl16i8mGjo6OIxWK4dOkSXyg7dUjbwaJWq/Gtb30LALhjXiaTwfnz53H//n2uitDpwfasWCgqePr0aQCNZKdKpYKrV69ibW2tJ404nmUNyWQyWCwWZm1NJhNWV1cxPz/PF4VunY1nHRO5XM7yG6DhaDx69AiJRIL3jm6d43awUNdUoNGWXCrr6IXj085ckcoacrkc7+m9CtG3u4boOezFBa6dcZFWb3oeWFpx0Pmr0+m44s3zGpOn2XNxkMnhoEoJer0emUyGb2u/q7Rarx1kwmI2m6HVapHL5fjm1q4z2AscoiiyDoxCor/rufTSQSZHhOrtUhOEZ3HUe42FuhqRs0xavWeVvHTjIEveg51TCt1SOJlC+HvhIEux0H9Uh5ieD2n06YB7VobhWeetdByAx046Mbj/816staSxaGMfeWYHmdqek1GegCAI0Ol0SKVS/Pmkr23H2nk+0jJC9frjxkfEKku7CNLz2Sss0jq79XodNpuNu1zlcjns7OywU9qJLr6dA5UcHqDB5A4MDKBaraJQKGB3d7ephTPh3SssVPYQaDDc1OyHnNJW/Xa3WL7KEZTqOEkWQ+uF1gxh7gWOr8JCZxxpOaUd8iTvJX2PPcMil8thNBo5SrxHJTufGYtU47oXDPqzYKHnr1Qq96zRRTtYyA94nlhacVBOlFKp3NMo/gvlIEte3xQ2fdabQS8d5FYsFE5+1gXbKwe5FQctlk4dnl5iIeuUnewVlpbP6GNB7w7VbnF0Yc/sIO+17cXz6WP5v4PlRcHRx9LH8r8Vy4uC46usXQ3yDoC19uE0jJimNm9sQy84lp7gaNP2dExeFCwdWB/Ls2PpCkcX9qJg2ZPn06H1sTzdXnQsLwoOoI+lj+Xp9qJjeVFwPNXaYpD71re+9a1vfetb3/rWt//frd8opG9961vf+ta3vvWtb32TWN9B7lvf+ta3vvWtb33rW98k1neQ+9a3vvWtb33rW9/61jeJ9R3kvvWtb33rW9/61re+9U1ibVWxeJFKcrwoWF4UHH0sfSztYPkGy7zt1Ot1x4uA5UV+Pn0sLz6WFwVHH0sfy/9WLC8Kjq+y59Zqum9961vf0KOSPr3qeNULoyYyhOebxCYIwhOd674pLCqViru1Pa1pyfMcJ41Gw02HpM1EnicWmUwGjUaDWq3W1LREWvu+tTnOXmKihkzScaDGUNQjgP6uk4Yz7ZhCoeCeBNSYSNqQidYY2V5ioe9OTasICxk1bKJ/+yzNtLrFo1AooNPpuOmMdF5IP7/dZkmdmEKhgMlkYiy1Wo3nivTzqRPeXplcLofBYOBGK7VajfccanZSr9e7ajjSd5D71re+tW3fpBNIzVKkf3ZYw7snWOhz6YCX2ld1B91LLPSZrU1lWv/cayzkHH/duLT+bi+xUFc76e+BhrP1vLCUy2UeE3IKpTikTule4qDPo06dhIecw0ql8tTntpdWqVTYEabW8tQhs/X57LWDLG39rFQqYTQaoVarkc1mmxzm53GpIiOnXK/Xw2QyIZPJoFwuo1AoANjbMZFioQtCrVaDKIrQarUol8solUpNnRL32qTrhrpoCoIAhUKBVCoFAF1fXvbMQW49FJ72M/D8NmvpZ31TWKTtg4HHbMHTDrS9xkKbHx0OrSyY9O+l1mtcrd0Mqd0lbd7Sv99rZoxYA2og8zQs0nGSOhx7hQVAE5Z6vc7jJMXSeqj2Cg99LvC4bS4dpIRDqVSiUqnwOEkx9HJcaC7QOpG2AifnQq1Wo1gscnthwtI6d3phhKW1LTlh1Wg03L6eNmoao14dZtJDC2iMiVKp5LlBDJhOp2MsdLiT09irw6y1OylhoQNVo9GgWq1Cr9czu0TsDmHpFRtHGKR/0jOqVqt8qGu1WhSLRchkMsZCa6wXbBx9vvTMoTWjVCphtVqRTCYhCAI7Y+TwAECpVOpZ619iZoHms5Da2FutVmSzWWi1WlQqFQiCwO2YAaBQKPQMC41L6zlM46RWqwEAJpMJQGN+5HI5/rfkHPbCWp1vKUNcq9Wg0Wig1+tht9tRqVRQKpWQSCQYfzwe7zmLLN3jaP+vVqvc4t5ms8FqtaJSqWB7e5uxRiKRnjun9EyoAzK1o6ZzwGq1QqfToV6vY22tESCsVqu83/QaB+27KpUK5XIZ5XIZgiDAZrPBbrdDq9VidXUVQMNBbm1334713EGm26hWq+UNT6lUwmAwIB6P8yIQRRH5fB67u7tNi7WXB5lCoYBCoYBWq4VMJkO5XIZGo4EoiohEIgAai8FkMiGbzSKXyzVh6bZffOtBrtPpoFQqUSwWodfrYTabsbm5yYeKxWJBKpVCOp1uwiENNXWLRRAEKJVK6HQ6aLVaFAoFGAwGmM1mrK+v80Fis9kQj8eRTCabsFAooxdYVCoVlEolVCoVdDodj4vL5cLa2hrfCAlLIpFoCvmRI9QrLGq1GiqVCgaDAZVKBSaTCXa7HRsbG8yomM1mJBIJJJPJpjBboVDoepMkLBqNBhqNBiqVCnq9HgDgcDhgtVoRiUSQzWYhCAK0Wi12dnaQTqebsORyua4Oj9bnYzAYoFKpIAgCnE4nHA4HCoUCkskkVCoV5HI5IpEI0ul00xik0+meHu4ymQx6vR4GgwE2mw0ulwsmkwnFYpHXdq1Ww+bmJlKpVFOILxaLNTke3Rgd7mq1Gmq1GjabDWazGU6nk/8NPbdQKIRMJsOORq1Ww/b2dtNh341JHWRBEGCxWKBSqWA2m6HRaGA0GiGKIgRBQCwWQzabZZanUqkgFAox29KtSeUBFP6Uy+XQ6XTQaDRwOBwwmUwQRRHZbBaJRIKx1Ot1BINBxGKxrjBIowpSBpscdZ1OB7VaDbvdDr1eD6vVit3dXcTjcX4mgiAgFAqx49ENDvpuRILQ3FEqlXA4HBgeHoZMJmMHI5FI8FzRaDQIBoNYX1/vyTkkvbRKL9gKhQJGoxEejwe7u7scylepVIxFr9djdXWV9+VeYaHfkVNKlwez2QxBEODz+Xjt01wRRRHz8/MIBoM98RWeRpbR7+VyOURRhN1ux9GjRxGJRCCXy5FMJgEABoMBV65cQSgU6mmkqPUiI2XVRVHE5OQkIpEIHA4HHI5GSodSqcSFCxcYW69MioEkJURG1Ot1GI1GyGQyTExMwGg08utisVjTBatXOKTSJHpGpVKJz4bJyUnef8vlMra2tjo+hzp2kKWLnZwKoDGIWq0Wbrcboijy5ggAwWCQb+lqtRrr6+tPsCnEaLQz0aRYBEFgLLTxeDweOBwOGAwGZjHW19cZi0ajQSAQaGJ66PVSzdqz4KBbuhSHXC6HXq/H4OAg/H4/RFGESqViHKVSiRmW5eXlJ7Q85Ji2u/iI/ZRiUSgUEEURg4ODGBkZgdFoZFYlGAyiXC4zw7K4uIh6vd40ueRyeUc3QykWmrzk5A0MDGB8fJz/zmazIRQKsXNuMBjw8OFDyOVydnroRpvL5brCotPpAIBZgoGBAUxPT6NcLsNkMsHtdiORSCASifBrFhYW+KIDgH8vdVSf1Wi+kMYMAOx2O0RRhMlkwv79+1EqlTAyMgKfz4dsNouNjQ0Ui0UUCgUsLS0hGo0ylmq1CkEQkEwm23LYpTiIMTaZTDAYDHC5XJiZmUG5XMa3vvUtuN1ulMtlrK6uIpfLIR6PY3l5GdFolNcUMVCxWKxtZ52ejzTEq1KpoFKp4Ha7cezYMbhcLpw+fRpGoxH5fB7JZBK5XA7RaBQWiwWRSASZTAZAY5NUKBQIh8Nt6+KkDI70dwqFAmazGWNjY/D5fHjllVcwMDDAl1m6QKytrSEajSKdTgNoMF+CIGBjY6OJHGgHi9Ro79NqtbDb7fB4PDhw4ACGh4dhNpthMplQLpdRLBbZ6aNxicfjvPal5EA3WIiR1Ol0sNvt8Pv9GB8fh9vthsfj4QtxIpHA8vIyO6WJRIL35nQ63daaJlnC05hAujgQITEzMwOv1wuz2QydTgebzYZqtYqFhQU+zBOJBAwGA6rVKuLx+DNjIRytOmIps04X3+HhYfw/9r7zOc7zuv5s771jFwssOggCJFhESKKarZLIcpTM2DNJJh/yMfmYPygznvFkEnvGsWPLsrpoNlGkWMCCXhfYXrC9l9+Hzb18FyJtbqGs/GbvDAckCOyefd6n3Ofec889f/48FhYWOGjTaDTw8OFDXkPJZBJmsxmNRgOhUKij9SyMtj0JJznAIpEIbrcb8/PzWFpaQjAYhFKphFQqhVQq5bV7dHQEs9kMiUSCYDDY0WVTiOVJzqgweGOxWDA0NIRz585BLBZjZGQEMpkM+XyeP38ymeSLeTKZZMe5EzvuCAv/Ts9bLpfDYDDgxRdfxNLSEhYWFrC5uYlsNsv7fDKZ5AhlPp/ntdUplqetPcIilUqhUCjgdrsxOzuLixcvIhqNQq1W87yNRCI4PDzEzs4OR077iQVod1IJ0/DwMAwGA3w+H5xOJwAgGAzC6XQiFAp1xQP+UziE/0frTSQSYXx8HCdPnuTgH9AKUBgMBhwdHXGwsRPr2kGmG6BMJoNOp8Pw8DAAYHx8HOPj49BqtSiXy0ilUshkMsjn85iZmUG5XG7jnykUCt4k6aF26mQQFolEAqVSCYvFAgAYGxvDzMwM37DS6TSy2Szy+Tymp6c58kSbiFKpbDtUs9lsR5sSLS6JRMKLCwBGRkZw8uRJjI2NQS6XI5lMIpvNolgssgMkdEK1Wi2ncKrVKo6OjrqKIgujJ+QgezwenDp1CidOnIBCoUAqleJI/sTEBKeQ6PMIsZTLZSSTya7I94RFKpVCLpcDaDmCU1NTeP311zkSSBcmtVqNXC7XFhk1GAwcYSqVSuyQdeogCzmAMpkMQMsZHBsbw5tvvgmr1cq0gWq1ypGmSqWCcrnMEXYal0KhgEgk0vXcJaeC0ooqlQperxdLS0twuVzQ6/WQy+Uol8ucDi0Wi0in05BIJLDb7Rw1KBQKCIVCyOVyHc9dej6EQ6lUYnJyEktLS5ifn4dWq4XJZEI+n0elUoHL5UI+n+fD1OFwcDSSDi2KKncyd4VzhZx12ohfffVV/OAHP4DX64XFYkEmk0G1WoVarUY2m+UoSzQaZSzJZBL1eh1HR0cdXzRpXyE8QCtSYzKZMD09jYsXL+LChQtwuVxtdIFcLgeNRgOdTodwOMzjEQwG0Wg0EI/HeS/sxCiaJhwXg8EAh8OBs2fPYmlpCSdOnEClUoFcLodEIkGpVEIul4PNZkMwGOSDc3d3F7VaDdFotKs0JFFKCAsFSvR6PR9WS0tLsFqtHCQBWmvX6XTCZDKxo7WxsYFGo4FgMNiVk0FUEiGlQqVSQavVwu12w+PxYHFxESdOnIBOp0MikeB5LhKJoNfree1ubGxALBbj8PAQqVSqo/2F9hNhpJT2X6fTCZfLBZfLhcXFRb4wEL+1VCrhlVde4c/w8OFDyGQy7O3tIRqNdpyhkkql3+KwkmNss9ngdDohFovxxhtvYHx8HCKRCIVCATqdDjKZDAsLC/x5Hj16BIVCgYODA4TD4Y5wAO30NcICoC0qKhKJcP78eczMzKBSqfAFUiQS4eLFi5zi39jYgFQqRTwe7ypaSpeVJ3Hy6VygyOj8/DyMRiMymQwODw9RrVbx8ssv85zf2NhAuVzG0dERNjc3u4oiP81Zp/+jPWh4eBinTp3iOWEymXDhwgU+jzc2NpBOp1EqlRAIBLrG8rTfET47lUqFkZER6PV6KJVKXu/xeBxA6+yYm5tDo9FALBbra3SdLsPVahUymYyzml6vFydOnOBnCLR8yvHxcezu7nZ1Fg10kAc2sIENbGADG9jABjYwgfXEQaZbgUqlwuTkJADgnXfegclkQiaTwYMHD7C8vIxyuQyVSgWxWAyXywWz2cz8pkQi0Xbb7tTDFxrd1s1mMwDgtddeg9frRaPRwPr6Or7++mvG4nA42qJzpVIJ8Xi8rTCqGywUzSYeIAAsLS1hdnYWBoMBe3t7uHTpEkqlEjQaDZxOJ9xuN1wuFxcYxeNxHhPicXfD+xViofT9wsICTp06heHhYfj9fnz22WfMO3M4HPB4PDCbzVAqlajVajg6OuLbGMmn9IJFJpNxNGlqagoLCwuYmZlBJBLBvXv3EI/HIZfLodfrmdupVqvRaDSQSqU4KkjUj244yBTpl8vljGVoaAiTk5MYHR1FqVTC8vIydnd3mcdpMpmg1Wqh1Wo5hU5pc6LE1Gq1jm/K9LOUMgQe88SJh3fv3j2sra1BLpfDbDbDYDBwdAxozRFh9TBVGHeChcZEJpNxespgMECtVsNoNEKv12NjYwMrKyvIZrOwWq0cPSBOJwDOBgmrvLsZE3o+9Bn1ej08Hg/m5+cxPj6OSCSCL774ApFIBBqNBiaTiZ+l0WhEvV5vywZR5F1YgNMJHqLgAK0Iv91ux8LCAl588UWo1WrcuHED4XC4LSJIFC+LxcLPp1KpQKFQcFS6k7VEYykcF5oni4uL+MEPfgCn04l4PI5oNMrrQ61WMyXEYrFw1LZer0Or1XLldzfrmnj7ZEqlEqdPn8bLL7+MqakpeDwe1Ot1HB4ewu/3Q6PRQCwWw+l0wmazIRQK8WejlD/RPp7ViMJAsmXAY86mz+fDhQsXMD09jfPnz0OtVmN/fx8bGxsAWhGm2dlZDA8PI5lM8uvRaxCWZ5m/hIMoOADaolzj4+M4f/485ubmcPLkSVQqFVy5cgXpdBqpVAojIyOYn5/nfUUul3MklaSsnnUd0Vw/rpJB84foCz6fD//8z/8MAPjiiy9gNBqRzWbh8XgwNjbG61kulyOXyyGTyTCf+1nnC43LcQqMsCjPZrNhfHwc//qv/4p6vY6PPvqIM0Gzs7MYHR3lNSSVSpHP55HL5bgg9Vnny5NwCI2itVqtFm+88QZOnTqFg4MDHB4eIpfL4fTp0/D5fPyMqP6kVCrxuu6UCvOnjPC4XC689dZbGB4eRiwWg0QiwfT0NEZGRjirSqofQIszXiqVOqIUPAsWmt9msxkvv/wyfD4fRkZGMDExwRJrAHBwcACtVssZrlqt1lfZN2Hm1ev14vXXX8d7770Hq9WKQCDA2d1QKAS73Y5YLMaUv07oHj05yLRRu1wuzMzMAGgdTuVymTfEfD6PQqGARqOBQCAAtVoNp9PJqRWlUskbdqecvLYP8r+pe71eD5fLBaB1wNfrdcTjcWxvbyOfz6NYLKLZbCIYDEIul8NkMjFnTqlU8iLsttKcUtTE3QQAtVoNkUiEZDKJ+/fv8+JuNps4ODjgghYqQlKpVHzodJoqFxrxSRUKBY+JSqVi+sL9+/e5OJEmcLPZhM/n40I+4qMBYCewWyzCQiKg9Xy8Xi/EYjFzNQ8PDzk1PDQ0BK/XC5FIxHOFsBA9phsTHh5UVGA0GjE2Ngaz2Qy/34/Dw0PGIpPJYLVa4fV6uWBNoVBw+pGoF0Dnyhp0gDUaDU75Op1OLCwsYGRkBPl8Hpubm/D7/ZDJZIjH4zAYDBgaGmINSJlMxuNSqVR4jneUShJcDAnH0NAQTp8+jcnJSWi1WqysrGB1dRWlUgnhcBhGo5FxUAEqvU6pVOJUfjdjQr9HFzun04nXX38dr776KiwWCy5duoRHjx6xU2o2m+F2u2EwGJgrSUYUAyG/8FlNeFElLCaTCa+99hree+89TE5O4sqVK9jc3MTBwQEAMFfQZDLB5XK1XRBKpRJzbDt11Ol1ms0mdDodvxdxEhcXFxGJRBAKhbC9vY14PI5KpQKPx8NFacL6BuJJd4uF9khh/cnQ0BDm5uawtLTEl2y/349bt25hb28PbrcbdrsdZrMZzWazTc2CCl87XddUsEMFVfTZtFotvF4vzpw5A4/Hw4Xit2/fxq1bt6BWq2EymTAxMYFKpdLmSBLPtBNqmxAHraFGowG9Xo+xsTGcOXMGr732GvR6PRKJBG7duoX19XUu1NNqtSgUCryWpVIp0/y6ORvJsaezhJxjorb91V/9FYaHh1EqlfDNN98gHo9jZmYGMlD6F7wAACAASURBVJmMgzW0x5GDTDTIbmhtQLuqB+3rDocDf/3Xf40XX3wRU1NTuHHjBmq1Gubn51EsFqFSqZDP59vmaC6XQ7VabaPhPav9KW4rBfteeuklnD17FolEAtlsFtPT07BYLLDZbOzTAK1zKJ1Oo1KptHGTn8X+XOBAJGop4fh8Pq5xIFom+V2pVIod5Gw2i1QqhUqlgnQ63bdxIaMiV6vVivn5eZhMJpw6dQputxsqlaqNfkNYaF13uqb/HBaiR9rtdszMzODNN9/E5OQkyuUyAoEAq1ik02kkk0mmJH5nHGQAbU4GTXyDwYBYLIZCocDREirYAcCcQZIq0Wq17NELdfS6wUITijZJt9vNTl2lUuEqd1r0xEnR6XQcIRRO/D93o3qSEUeQuNkAMDo6CrVajUgkwjI6zeZjKRtaYHq9nqN2FMUTRme6wUKFIcSHHhsbg0ql4qiFQqFg+RghFioao6Ia4DHPr1sstCFStf/09DTMZjPC4TBXmlI0q9lsMp+K3pteh752qzIi5JISX31mZgZ2u52jJAD44K9Wq0ilUhw1BVqRJ6EUUDdFlISFOLd0cZienuZDkw4GUmKhDdloNEKn03EBhHAN9VJESUodADA5OYmxsTEuzCEVEaooJ+6mRqNBrVZDPp/niFOxWOTDvdviUlKYAYDZ2VnMzs6iVCrB7/djb2+P+fNU/a7VaqHT6Ti6T/zEo6MjLmTs1lmnCz3w+OJgMBiQyWSwtbWFUCjEPFHaS4RqDaSIEI1GuUCvUxMWMxEunU6HiYkJOBwOVCoVbGxsYHt7G1tbW8hkMrwfGgwGpFIpZLNZHB4eAgD29vawt7fHF6pOjeobCJdWq4XH48Hk5CQ0Gg329/cRjUZx//59HB4eolarIZvNwmQyIR6Po9FoYG9vDwCwtraG7e3tnrAII8+UqXI6nVAoFIhEItjZ2cHKygr29vbaHN9MJgO9Xs+H+8OHD7G2ttYVFsJBgQS67FPxsUwmQygUwvXr1/HgwQOuVVGr1VxQRPvP119/zQGVbsZEWDQOtKKKxJ8fHR3F+Pg4ZDIZPvroI9y8eZO52iQ1V61WOap+9epV3Lt3D7lcruPslLBIkeaKSqWCVCqF0+nE6OgoTpw4AZPJhN3dXXz99dcc/aQGL8ViEYFAAABw+fJlPHjwANlstissANqw0LqmoNZPfvITnDlzBiaTCX/4wx/QbDZhNpvhcDggEomQSCRw//59AMBnn33GWGgf6nRchL8jLJbWarV44YUX8Hd/93d44YUXcPv2bayvr2Nubg4Oh4ML67/66isAwM2bNzkQSFie1YQ/e5wTTfPIbrfjpZdewo9//GNkMhkuZqX6j52dHVy6dAkAsLm5ycWcnWD5U3xsMgqInDlzBgsLC/B4PLBYLKzKs7GxgatXrwJo7f3pdBq1Wo0zvJ1YTw6yVCqFTqeD2+3G+Pg4gFaKdX19Hbdv34bf70c6neZb4MTEBM6dO4fx8XGWgfP7/YjFYgB66wJDkVKz2cx0j2KxiFAohJWVFRweHiIcDqNYLEKtVsPr9WJ6ehpDQ0PQaDRcVEMFasVisasIMkUcSa6MxiSTyWBjY4MPSIpw2Gw22O12GAwG6PV61sSkiwJtSN2YUqlkB5nSw5lMBlKplAtQQqEQCoUCp9Ip8mUymdghog2bVBq62azpUqBUKtn5L5VKXLVOcixUoazVamG321mIPB6PI5fLcRFAt4WLhIVUQwgLFfhkMhkkk0kEg0FEo1FOkxuNRk5NkhoAHaiJRKJr6olQj1WoeiIWi5HP5xGJRHB0dNRW/EAXvUqlgmg0imAwiGAwyFi6mbt0kaWDCwAL9BeLRezt7bHUXq1Wg1wuZ+xU6BUMBjmKGo1G2yrPOzGZTMZqOMeLjFKpFAKBAKLRKBdGUiqaNvPDw0Ps7++z8xUOh78l+/asJpR0o3Eh/VEKBNB8SSQSUCqVfLlWKBQIBoPY2dmB3+9nLFTo2k0BDR1WhMvlckGj0aBQKCAQCKBSqWBnZ4f1SI1GIyvXJBIJrK2t8f+RU99t5u54lsLpdMJqtaJYLCIcDqPZbOLhw4e4d+8eSqUSdDod03Hy+TxWVlZ4vgSDQUQika6cUprrJCkKtJ7R6OgoB2BEIhHu3LnDKhE6nY6dRJ1OB7/fz8+IzgoqGn5WI0egUqkwDqPRiJMnT+LixYuYn59HoVDAjRs3cPXqVRQKBUxOTmJychIGgwEKhQKhUKjt0kDKT51GA4V65MKCTq/Xi7feegunT5+GSCTC6uoqbt++ze+hUqm4YDEcDmNzcxMAsLKyAr/f35WcpTCQQAEOKrqemZnB5OQkR6z39/eZIkaFv+VyGQcHB1hZWQHQKkbb399HuVzuqgCYxkWYZVKr1bDb7fD5fDh79ixefPFFbGxs8BlKNMVgMAi/34+7d+8ylr29PVQqlY7PI+HcEqqNUEbbbDbjRz/6Ef7xH/8RyWSSz3Cg5Uivrq5ib28P33zzDQBge3sbfr+fi8u7ofoB7U4qXYJVKhXee+89/P3f/z3EYjHTUSmT9PXXX+Pq1atYXl4GAMTjcUQikY6zMH8uoi4Wi+F2u3Hy5EmcOXMGS0tLnLEXiUS4fv06Ll++zBFkEopoNptd+Qs9ybwBrU3J4XCwoyGRSDjNKzwESDOUZMUoOkkONNBySjvl5QmNOM4UuSXuHXFV6IChv2s0GlacqNfrnE4BWk5tNxFkGhu73d6mYZvL5aDVamE2mxEKhZinRk6JMK0Vj8eZQ5NOp3uq/qQoHxnxI/V6PbxeLyKRCEduKfpFHFdy0OgCc3R01DUW2vCE1eKkJykStcTGyQmhG73dbmc912QyiWg0ylgSiUTXWOr1OnMy6UJUKBQQi8Wg1WpZi5uaGhBnkiqtCUc/sJAEmcVi4QtiLBZDIBCA3W5HoVBgh4j0SV0uF4v5k2NxHEuneGgOWCwW/t1kMonDw0PY7Xak0+k2yk2z2YTT6eSmD3t7e0gkEhwpjcViXeEQYjGbzXxwFAoFjkIGg0E+yFUqFRqNBnPnK5UK1tbWEA6HOeJEzlo3WGiuaDSaNnoPVbRHIhFOo1NlvNfrhdvtRq1Ww6NHj3B4eMhcW9Ju7WaPo/S9MIIsFouRTqfZeSmXy0w1aDQa8Hq9GBkZQb1ex71797C7u8tYniSz2QkWinwRFtIyp1SrXC5HOp3mi6XX6+XMyJ07d7CxscFYdnZ2uqJ6AO06rZTtGh4ehtPpRKPRwPb2Nl/EKbI8MzODs2fPQqVSYXV1FY8ePWJn8MGDB20Zom5wEB9+eHgYZ8+exdDQELLZLL7++mtsbGygVCrBYDBgfHwcw8PD0Ov12Nrawp07d9j5un37NstudjsmVPcBtLK7p06dwvT0NNRqNe7du4ft7W00Gg1OVTscDtY8vnHjBu7duwcAuHHjRl9054U60MS5np6eRiKRgN/vRzAYhEaj4eCVUqnE4eEhlpeXsb6+DgBc19RLnwK6TJO5XC4sLS3h/fffh8/nQywWw507d2AymfD+++/D4XCgWCxiY2MDN2/e5EvMwcEBKpVK3xqFNJst5aiJiQn89Kc/xd/+7d9CKpVieXkZJpMJP/3pT2E0GhGLxXDz5k1cunSJ934KNPWzUYhSqYTX68Xbb7+Nf/u3f4NCocD169cxPj6OCxcuoNlsYmtrCx9//DGuXbvGwTTKAPSrUQhJNTocDvzLv/wLrFYrUqkU0yKJJvTBBx/gwYMH7FNSHUa3OHpykBuNBrc9JH6eSCTiYhDS36xUKrBYLLxh0Y2EOqHQ5Or24KCNWqlUwmQysUNIvDKFQgGTycQyNnq9nouKiH4gkUhQKBTasHQT4SEOJ31eoHW4021Xq9ViZGQEqVQKKpWKo2TEW6MomXDBdZteoyipTqdjWgNhSSaTXKhBnFqKHtKEIgF9YcFVL1jokkRUglQqxSLf1WoVPp+PLzAqlYqljxqNBkdRhRJ0vWAhJ4PmSiaTQTAYhEKhQLFYZNkjcuqpmUwikUAwGEQsFusLFhJdF3Jcc7kcQqEQ8vk8SqUSywOSU+90OhEOhzmaSrQYwtINz5acr0qlwrKI5JTSxjsxMcGOFxXuET2GorTCbmTdbkrktJXLZc7CZDIZ+P1+bj7i8/k4rWaz2aBSqRAOh7G2toaDgwOkUqm2Fqy9YBGLxRzlB1rPJxwOc9Ta7XbDYrGgXC7D6XRCLpcjGAzi0aNHODg44OxHr1jIaF0DrWeUzWY5omOxWHDq1ClkMhnmh6fTaayuriIUCnFjGXqdXrEIOa40HsSj1Wq1mJ2dhcPhgNvt5nawu7u7SKVSbUW3vWAROjuEpVqtctFfoVCAyWTC7Ows3G43RkdHmasei8X4IkhZmG6c4+N46JJPayoWizGly+v1QqfT4fTp03C5XBwA2NnZwdbWFkeyydnpJUACPKYQkAQq6clTRHdiYgIzMzMsVbixsYG1tTWmMvUTi1AScGhoCGNjYzCZTIjFYsjn8xgbG4PX6+V0OV0w0+k0P59+YKEzF3jc1Ob8+fMYHh5mPWOr1Qqn04lCoYCtrS1cvnwZq6urfA4IsfRqNH+JJ070AaAVrDMYDHC5XMhms1heXsZHH32EK1euIJvNtjX+6ZdDSiaTyTA3N4fp6WnuDTA6Ogq3241SqYTbt2/jN7/5Df74xz+iWCy2FQD3Ews1jfF6vTCbzVhYWEAqlYJGo0G9XsedO3fwn//5n/jmm29QLpfbehT0gqNnB9lgMHARDNBKGY+NjSGRSHB1uVQqhc1mg1KpZEJ3uVxGJBJBJBJpq94ndYtOPhQd8DqdjhtZ0OuRAkGj0cDk5CTq9TpHK0dGRmC1Wlkh4ejoqI1zSC0VO6nWpQ5s1EUKaB2olKahwp1cLgeDwQCZTMa8YFL1yGQybYuXIs2djglNaJPJxFH1XC7H/F2lUompqSnY7XZW85iamuKUOZHbhVgAdLU5kZ6wwWBgXik54BRNHxsbg06nY2WEqakpLjo6niKnbABFezvFYjAYoFQqmdZQLpcRi8Wg0WigVCoxMTHBzrNWq8XY2BgePnzImrbCefEsvKknWbPZ5EuTsGkJRSbL5TIXDxJX2mAwwGazIZlMIplM8k1dqBdNkcxO0lrkoAv1fikaaLVaWfWFLn0mk4l1tIU1B8LDolP1CjK6RAtfi2gehMHj8UClUjE3rlqtIhaLIRgMIpfLoVQqfWu+dEsjIE40/T5leajAiBpPyGQyOBwObpxCB7vw4OgHFuHhTk0+rFYrTCYTnE4nz9vh4WEkEgl8+eWXODw8ZA14YRe/brEAj7nQNF8Ij06n40s5KYqMj48jEAjg5s2brHWczWbZWe8VC2VZhKlq6sxJXeJonY2OjrJD7Pf7EQ6HEYlEmMZEDnc3WAiHUPnH7/ezg7O4uIjJyUnWjt3Z2cHh4SE2NjawurqK/f19dgR7dUZpXxW2baagFTUrUSqV8Hg8GBkZQSQSwcHBAR48eICDgwMEAgHmq/fqBNK4EBaTyQSHwwG1Wo1KpQKr1Qq5XI5Tp05Bq9XiwYMH8Pv92Nzc5HoC6n7bDyxUJwS0aDA+n4813snOnj0LrVbL/OsHDx4glUqhXC63KRj1YkRToDWk0Wjg8/m4UL5QKECr1eLkyZNQKpW4fPkyPv30U1y7do3pbt0WiD8Ji/CrSqVifm+lUkEmk8Hk5CSmpqYAtLSxf/3rX+PatWvcsEsYYOx2DR1XPVEoFFywTy225+fnOfCwvr6O//qv/8K1a9faHHTh63W9x3X1W/8LoFwuc/qSbu5arZa7xR0eHjI3hPq6GwwGnDx5kgt/tFotRyhlMhkT7zsxejDZbJZlRYDWxCfKAEVsgVYqsFqtwmazYWZmBvV6HSsrK8ypJCydFkcQjkKhAJVKxZFSnU4Hs9kMl8uFQqHAh4rL5UKtVoPZbOaUwd27d5kPCoAvDN3w8ugZqdVqHhNhYRod+hqNBpOTk1woWK/XcXBwgOvXr0Mul7dh6YYjSNFEcsop+kXUApIzE4vFWFxcxMzMDAqFAsxmM/b29vDgwQN8/fXXbfQLcoC6xUJcTpprVJTocrnYeT5x4gRmZmaQSqW46p46Nwnl6oQ31m6MDlN6DXpd4qhTB7CRkRF2zPb397G2toZ8Ps8Ncug1um6r+b+OIB0StDYlEgm3CCb6QDAY5MgyOV6UrekVB2EB0NY0Ip1Ow2q1wmg0wmazYXp6Gi6XC1tbW9jY2GAeMP0OYTneiKcbLBKJhA9Fkgui9t/Dw8OYmZmByWRiTuLBwQGOjo6Yt0+HcbVa7UuthbAdcTgcht1uh9VqxfT0NDweD8RiMQ4ODtjRoULFer3eFmXtFQtFcAAw99jj8WB4eBgjIyOcNcxkMswbpzqMcrnMz6gfWOisAR43NarX67BarbDb7XC5XCwZmcvlmGtMDjs9I7FY3HXKnMZEyG8l2oter4dWq8Xk5CTMZjMymQx2dnZw9+5dhEIhhMNhxONxnvvdSBI+aUyERdakWkQypO+++y68Xi+y2Sy+/PJLXL16FZFIhKv/hUVtvWKhVsBAyxHMZDJMOdJqtVhaWsL09DQajQa++OIL3L17F4FAgDNpQv5yL84gFcBRQMJoNKJYLOLBgwfY2tqC0+nk5j8SiQTJZBIrKytIpVKs5EFzpZsAjdDEYjErVwHgOby5ucmRfpPJxBHZdDqNjY0NFItF3tOEGZxeHHZS8RCePzKZjBub0YV2a2sLMpkMsVgMOzs7nB0XOvokN9otDqF8pFqt5r9TjRSNTSqVwvr6OnZ2djhQJLy09xrJ7qlIjzYav9/PaVmSNcrlcpidnYXJZIJMJuPqylgsxila4lUSD62XB0wpWYqsAeAe4WKxGKdOnYLFYoFUKsX29jZLCsnlcuZU0mEDoCvnCwCrCghTmXQLazabmJiYYAWCeDzOzrTdbufe5mq1mm/L3eIQYkmn0+z0UJqxUqlArVZzC2xSP6CuRpRmpEtLr1jo+VDBIgD4fD643W4+OKRSKebm5rjlLMkw5XI5lnmj1Fa3qhE0LtSqmV6PooBWq5W5rydPnoTJZILNZoNer+cORXfv3mW5LqC34lLCQtF0wkJFIXSgWK1WjlhqNBosLCxge3sb4XAY9Xqdb87dHuzNZpPl6ggHPQe6vNBcJXUJSpOS9BHJUQG9R3mo0ISwCDe8ZrPJlxRSrqFCDYvFwp0haS/pFQtdfEkVgzJL9JnpkgK004lIU1Z46e9HOpYyXkDrgC0Wi0yZouclrBGhyB21Du4XFop+UfaQuvZFIhHMzs7y9yQSCb+v8DCnCvdesdBll+pfgFamjLj8VOhFcyeRSCAcDrO6yN7eXlt9RbdnEJ01crmcX4vmSS6X4zbxtIb29vawubmJSCSCjY0NVjkSZgd6GRMq0Ka1UywWEYlEmG5HlDoq0IvFYkin09ja2uIsWb+wAO2a2fV6nS9K1H2ROOsej4f3HCqsF3a87TVqSw6YsOiN1IGoeK/RaODg4ACTk5Mc1Eqn0ywv149xISyktU9G5yFRhOLxOAKBAHw+H3Z3d1EoFJDJZHj99GtcgMfSvWR2u52LWVUqFfb29nD79m3Y7XZcvXoVsViMpeWIjtYPLCQzCzzOSs3NzeHFF1+ETCbDwcEBdnd34ff78R//8R/sX1LRplAqtBfr2UFOp9N4+PAhRwKo0p0mWiaT4fQ1pctnZ2fhdDoxPT0Nt9uN1dVVAI85w92mZTOZDLa3t1nzFwBHPClFX61WmaNYr9cxNTUFl8uF0dFRGI1GdnY6lWwhq9frzCElfl04HOYJQ+ORSqUQj8eRz+ehVqvh8/lgMBhgNBq5Epo+V7eFi41GA4VCgVMxAJgLRzSXUqnEqhmU6rJYLFwwSKlz4LHSQzdYyFkXyvhFo1FuqEANXKjoiVKARA2h8RLKY/WCpVKptPWqTyQS7JDTphWJRJBMJmE0GmE0GqHVapHNZpFMJts4rr1iqdfrbRHOZDLJB1c6nYZGo8HBwQGLntPlktLCwmhCL1hIGYPWMhVQkq6mWCzmtsQajYZlo4QyanRg9DpXALSpAeRyOT7oSS2CIqJEpSKu+pNakPea7hM6C8VikZ1ySv3SGicnvVKpIB6PIxaLfYte0QsW4kPTMyKKDrWEj0ajsFqtcLlcGB8fRzKZxGeffcap+yfRlLrBIpQzE/Jt6dKdTqeRTqdZOkwsFjOvdXV1FYeHh23aw90WRNP7Hm81TQo1Go2GHQmz2YyhoSEcHBzg8uXL8Pv9iEQirP7RCwbCQWNB85ZqbUiZhWoIDAYDfvGLX+DDDz9ELpdjCT660PRqhEWYXRI2hTGZTBgbG4Pdbkez2cSlS5fwhz/8AfF4HNlslp1mGpNe+b7CIn3CQpF6ei5arRaxWAyPHj3Cf//3f+Pw8BClUompW/3AIlR1okwqjXe1WoVOp4PL5eJ58vHHH+N3v/sdDg4OuF5KGB3tFYtKpeKMGPC4FwTp26tUKrjdbqTTaXz11Vf4/PPPEY1GGYMwQtoPLFarlbGQ/6LT6ZDP53F0dASbzQa3282SiUdHR4xBGE3vFgvNFbvdzo46FSF6PB72aYDW3reysoJoNMprnKiF/SpU7MlBBlqTan19nblKdrsddrudUwe1Wo0F43O5HAqFAi5evAiv18tpWCFfq5eHXC6Xsba2xlHBoaEhjI+Po16vQ6/XI5/Pc8qgXC7DYDDghRdegFKp5IVIWHrBUSqVsL6+zk7L8PAwd05SKpXIZrNQqVQ4PDxEo9HA7OwspqenoVQquYhOmKLrNYK8t7eHK1euAGgpaszPzzPdoVQqQS6XY2dnBzqdDm+//TZHBI9HEfqBJRKJcLU4bdzhcBg2m42pLtvb25iensY//MM/cDSXnEDhDbUXLOQgUxQ4l8vBbDZja2sLPp8P9Xod+/v72N/fx8svvwyn0wmpVMqXKJJAA8Cc326x0OuR80IXlUgkAqPRiEwmg0gkgmAwiLfeegsTExPQaDQsNyY8PHq5wQs3GBoTk8mEdDoNm82GQqGAzc1N5HI5vPHGG3C5XEx5oE2ScBBdo9tIwvENrlAo8FiUSiVEo1Gsrq5CLBbjlVdewejoKIaGhmAymbC1tdUWzaDIai/RdYpSAmBqAF0c8vk8FAoFbDYbFhYWMDo6CrPZ3EY/EGLptghMyM0TqgZRwTFFcyglSTKJwq5uFLjoFxaiaAGttDllP7LZLB49egSfz8dZkt3dXYTDYY70CMeUXqub+UKcXyoaB1oO2NDQEEfhSMGiXq/jypUruHv3LtLpNAqFAq9lobPezcVByPelr0S1owwHXSoLhQJ++9vftslyPUkvthcuNI2FsDCOLg12ux02mw3ZbBZbW1v493//d4TDYS5Uf5LT1S0WkoMF2vmtJJ/pcrngcDiQTqfxxRdf4OrVqxw8Er5fr84XjQHVRREWei4ULfV6vZBKpdjY2MDt27dRKBTa6qJ6jUqSkSMo7C9ARfVUkEbZy3K5jEQiwT6UcM32Aw854sLoMXUBpaw3ZduJ108dBIVrtlcsxHsmZQrh906cOMFFx48ePcLKygrLMfbSgflPWc8OcqPR4DQi0NK/W1tba+syJuR8Op1OJJNJ1uMVOhcUceoljU8RbAAsOk5i46VSiTdmmUyGyclJhMNhDA0NsbNB790Lz4kqcEny6v79+/jkk0+4k5UwTaNSqZBIJPDOO+9gdHSUi+SEY9LLbYgi5lT4odVq8eWXX7IaQS6XY44c6R8vLi7CYrFgZmYGjx49anO+enk+lUoFfr+fKTV6vR7Ly8ssn1YoFDjFODExgZdeeokpOiaTiau7+zEu5XKZ1SiAVgFLJBKBxWLB3bt3WQ8ZaM3pd999FyqVqk2KsF8LkqKN5KwbjUZsbW3BbrcjHo8jkUiw4ofP58O7777LEUPidgvnbbdRW8psUMTTYrFws4lHjx5xi1Oz2YxXXnkFZrMZFouFMxTHcfR6maLLA9DS2CUHZ2trC6lUinmuP/zhD7neIBqNcjpfWLjYC3XrOO9+eHiYC31JGaJWq2Fubg5nzpyB2WyGSCTiQst+YanX6xy9p9dzOp0YHh6GyWTirloulwtarZaLjgKBAOLxODvI/cRCTVGAVut4r9cLpVKJTCbDdAatVot4PI7Dw0NWsKA9rle1HqC13xaLRdhsNgwNDQEATp48CaPRiGazparh8XhQKBSQSqXampY8TYWgGyxUf0KcdAB44YUXuKGPRCKBzWbD3t4e9vf3mRZDdLF+OmBEu5qZmcHc3ByAFr2OCuFJXnRnZwfr6+ucURVW//drf2s0Wt0bFxYWWJmB+K1U/Gu1WrkAmjKFRPHrtnnM07DU63UsLi5iaWkJAJgy5nQ6MT4+Drvdjlqthkgkgvv37yMej6Ner3fcRvrPGZ2ri4uLmJ+fBwDuukjdUilL9dVXX+Gjjz7iQGSv599xo850Z86cwdjYGIAWXXZ+fp4laCORCB4+fIjf/e53uHPnDgKBAGQyWV/bSMtkMmi1Wpw6dYoLwqkxE/ltwWAQn3zyCS5fvtxWA9dLp9+nWc8O8nEjgE8qiqGFsr6+jjfeeAOhUIi1O8l6JeAD7Sla4rod/z8K1e/u7mJxcZFpF0LcvWKhDY+6jgkrtilaQJtSLpfjtDFJWRFewtFL9Ts9F0qVU/qE0sd0gVEqlZyCI0dFKPNGvyP8d6djQs87kUhAIpHwhYak9iiVT5w1q9XKCiHHF0AvWITRM8pw0EEhFotZTSQWi0GtVnPnJ3puQhWLXhxDcgTp9RKJBB/6NIepAJWaulBh53Elj14dUyGfOpVKsQRVKpVip2dkZAQKhYLbjlIB6PFIQq9rhy5uQHtrWZKEqtVqHCWklPKTimf6sY6F1BOSEKNmIdRFixyyg4MDFsmn9+4XFqLjUFSQVDxMJhM32SH6RyQSwaVLl7hz3PHiRpLbPwAAIABJREFUs173WXI2KG1uMBgwPDwMiUSCVCoFk8kEtVrNGZCDgwMuWuylEO640RqQyWTsIFPnM6JWTExMoNlscpMUoodQpqFfUl3NZqsNODXOcjgc8Pl8aDQa3ANga2sL6+vr3KWU5movF5YnYRGLxbDb7dw4a3JyEh6Phx3O+/fv49q1a5DL5Rw8oktUP85hIQ5q+kFOj1qtxsTEBHOSP/roI+zs7EAmkyGTySCTyXyrvXS/sEgkEoyPj8Pr9QJoFQLPzs7yPP71r3+N7e1thEIh3Llzh4vke6k1OW7E3wdaNSf0jPR6Pc8diUSCP/zhD7h8+TIODw9x69atNke9X8+IsjilUomLSIFWR9fh4WGmkX344Yf48ssvOevQbDbbulf2A0ez2UQmk4FCoeBL5vT0NEwmE1+wL1++zNSkTCbzrYL7flrfHeQ/Z/RQSQqNHjjQf+08sqdNItKFJE6n8EDuNt33pzAclwWjB2s2m7m7Wzweb2tzTc5YvxbD8UiFsHUzpU6q1SrS6TRCoVBbEYAw+tQPLMcdKsooKBQK1rktlUp49OgRSzAJKTD9wEK/K+T+kXwhcdV++MMfQqVSIRgM4ptvvkGxWGxLD5MD1Oszot+ldUBOM0XRh4eH8fbbb0MsFrOKBeE+nors5TIldOYoUkoRJ5PJhFdeeYUP2q+++gpbW1tPTA8LP1M3JuSUajQanDhxgotIq9UqLly4gB/84AeQSqU4ODjARx99hEAgwFiEePrhDAorqZeWlri1ci6Xw8WLF3Hy5EmEw2Fcv34dy8vLfKEAeuPYkglT/zT37HY7JiYmmDcJACdOnIDNZsPVq1dx48YNJBIJPtyP4+iFK0jPRticw+v1skqQ1WqFSqXC0dERPvnkE2xvb3NKtp/pUGHRFfFK5+bm4HQ6USqVuIvn4eEhbt68iVu3biESiXzr4t+rkVKFz+fjIsWzZ8/C5XJxXcHly5eZRxoMBpFOp/vqBJIR9eb8+fM4d+4cgFYkjroYAmDdWBoburz028RiMcxmM86ePYsTJ04AaNXiEP+Zip/39vaQyWQ4SEQZqX6dfWRWqxUXL15kRzQYDGJycpIdv8uXL2NlZYUVP2i/73cKny5N586d43GpVCpwu90IhUK4cuUKPvzwQywvL3Mwhy51/XxOFEDTarVYXFzE9PQ0AHCR+N7eHn7+85+zXCSdN/R8+uUnEQ6lUom5uTn4fD4AYArF9vY2fv7zn2N9fZ2z88BjP+J5+I69VwMMbGADG9jABjawgQ1sYP8f2XOPIAvpAdQwhPSA6QZP6UIqnnoetzXgMYeWdBDn5ubgdrtZ3kZYjEbh/m4r8Z9kx4t95HI5hoeH8frrr8NgMGB9fZ0jDWQUqRFGTPthxAtXKpVcvXvu3DlcuHAB9Xody8vLKBQKXIxEWAhPP9KjFM2iKDV1ZHS73Xj99ddhtVq5jS511xOqYHSL5Tglgr7SjVgqlWJkZARisRjT09NYWlpCLpfD1tYWS51Vq1Wupu1lXJ4014mPTenrM2fOwGg04syZM9wefG1tra1qXviMyDqZLzTHaI4CrTWQSCS4UGNmZgY+nw/T09OcKn748CGnioWFcELqR6frh9aecM5TYZPH4+HWvWNjY9x05/bt29jY2HgiFmEGpNN9hdQHgMdjTGM1NTWFM2fOQKVSsdb5zZs3sbGxgWQyydy9441cus18kHxYo9HgAhaSP/T5fJwBIkrO6uoqd5+UyWScJTvOQe5mr1Uqlbw3UkSSxmFkZISlu7a2trC6uoq1tTWmohCV6ziWbmk51AJdmIEcHR2FxWLh1y+VStjc3GRFDyq6EqpxHM/CdGo6nY7lD6lw0uPxMGecuismk0lWiyDpTOG58CTqVjdYqGnM8PAwALQVlWazWUQiEW4aRcV5hEUmk/UkpUnWbDa5GA94XJgdCASwvr6OUCjEhaTNZku+8ejoqC3j0S8swOM5GolEmBqWz+exsrKCu3fv4v79+6xlTjxuYUZKLpf3jW+rVquhUqkQCoXaVCwymQyuX7+OL774gtWLiApJ65/8qX7QPkQiETfICofDXCNErbU/+eQTfPzxx4hGo1wjRHOFngnNo15xqNVqqNVqhMNh7iMRDodRq9Vw6dIl3L17l7WogfasK9C9gtPT7Lk7yMJJTZxS0sWsVCptgt0k7P68TDhwJKlGmwN1USOHo9Nufp0YfUaJRAKPx4Nms4mjoyMkk0kcHBywZikALvLppwmdoFqtxlXGIyMjiEajKJfLCAQCCAaDEIsfd6fqdZMSXpYIx/HDweVyYXp6GtPT04hEIojFYm2SeUJKRK+f/zgW2gg1Gg1sNhtOnjyJsbExqNVqPuRJu1qo0NDL86FLmJBOQAe9TCaDz+fDq6++ipmZGeh0Ohat/+Mf/4hwOMzFLL3STYSXQZp7VDxIIv5vvvkmzGYzGo0Gtra28Pvf/x63bt1CIpHgudGPixNhID1hoHVwHB4ewuVy4cKFC8yTSyQS+OSTT/DLX/4Se3t7rEYjfD697Cn1ep0dblIFEIlEXKw5Pz8PiUSCcDiMK1eu4Gc/+xm++eYblrqkZ9mPw71Wq0GtVkMkEvGBqtVqWUfVbDYjkUhgc3MTH3zwAX75y1/yfCVnuF97SaVSgdFo5ApzoOXA059isYhr167h9u3b+OCDD7C2ttbWUOC4M9zL+JRKJRiNRiiVStb4pX2rUCjgzp07+NWvfoVoNIqNjQ2WU6Pn068zh1R/MplM29zLZrN4+PAhPvvsM/zud7/jWgchx/ZJF8lexiSdTmNvbw+PHj3C6dOnATzm9V+9ehWBQADLy8sIhULM9xVS7/rlBAItju/u7i5WVlYwOjoKAMzd//TTT6HX61EoFHD//n1+NmT9xNJsNpHP57Gzs4Nbt27xeiY95v/5n/9BoVBAOp3mZ0jPgOZrv7BQDVQgEMCtW7d4PVcqFfz+97/Hr371K75QEmf8OJZ+rWXygUKhEL788kvGIpVK8cEHH+DDDz9kmsnx/f24g9orjlKphHA4jE8++YT3fpFIhF/84hd48ODBtxzj49ZvX+k74yCT7JtOp+OFkE6nuVMXAN48n5djCjzm/ZJM0u3btyGTyXD37t1vdWAB+sdPIxM6hDQB/H4/stksotEotre326IZz2sshEUharUaer0eqVQKV65c4WgLSaj0ayz+1O/TYaXVamG1WrGzs8PRp7t37yIej/eVeyV0jo9/nzS1qeHCjRs3EAwGcfv2bWxubiKbzfZ1g6JIltBZp7/n83lsb29Dq9Wi0Wjg/v37HO2gotJuI29Co/EXZi/oM5bLZWxsbMDhcMBisSAQCODzzz/H3bt3uSPa8+DEyWSyNo58sVhEKBTCzZs3cXR0hFQqhc8//xxXrlzBzs4O0ul03/mt9PlJ9xloqYyUy2U8fPiQtapv3bqFL7/8Evv7+1xk2++9gw4yarUNAF6vFxqNBmtra0ilUrh27Rq+/vprrK6u8v76PIIOtVoN6XQaTqeTx4WkCu/du4fl5WV8+OGH2N3dRSwW40tLP+bqcaPW7A6HAzs7OwCATz/9FCMjI/D7/fjtb3+L9fV1bjghVFvpp1UqFezv70OtVuNnP/sZAODSpUvQ6/VYW1tjPvhxaaznYaRe9Omnn+Kbb74B0AoKNRoNhEIh1o4ltZjnjSUcDuODDz7AF198wd8vl8uso9trt8tOsAQCAfzmN7/Bb37zG/6esLlQv/eQpxkpKX3++ef49NNPAbT2vnQ63bZevgsrlUoIhULI5/O4efMmgNaFl+oXvisc5XKZOznev38fQCvqT+f/d22iTj64SCTqepQonW8ymaBUKmGz2SASiRAOhxEIBAA83UFuNpvf8mS6xUKOh0ajgcPhgEqlgl6vRyQSQSKRaOux/qQU13Es3eAQyqbp9XrYbDZ2zgOBAFfs/ynr15gIq4yNRiMMBgMvzmg0+kzdDbvFctxBlUgkTKUwmUyQy+XsBAqLNvqFRfj+wr8TdUGlUkGlUnGaPZlMshPwLIu1UyzCeSF8Ljqdro1KUa1WkUqlOooIPuu8FWYMyEEViUTc7VGoZ05dwjrcPG83m81zz4JFKpW2NVygIk6j0Qi3243t7W1W/KBDthPr5PnI5XJ2BKloktLHRDehseiGDvWsWCgNaTabAYB1VKvVKmuXx2KxtkOt08PtWbHQ/kVYSLOc2hQLnY4eMhvPjIUKv4HHdJSjoyOO1NKz6ReWpz0frVbL65Uue6QSIbxY91BI+8xzRalUtlHZjstC9uFi/cxriDrFCrEIs3m9WqfrWRjlfw6BsGd+RpSh+j5gIf16oL9Sf0/DchyHkN73vIKUT8LxNPvOHGQ69IlSQY5GsVhs4y0+SXKnn84gfRXybmgDe5buW/10kAmHWq1mpQDiZvfTETz+3sLXPu6UUWtSSu08S8q8X1gIA2Ei+S6K4j2L09GpU0rvL1SCaDab7JjRv4/z5J9l3fTDWW82m3zY0+FKm0cnUexOHGQhDuHnVCqVaDQabVzFLjaxjhxket3jFxiNRoNcLsebeDf8704ODiEXmTDQfiWXy5HL5dqwPk8Hmfas//29trkqEok4Kkhj1mnkpROnVKPRMB+a1onwYH1aSvZ5YSFJT8rKCJ3R46o5ndqzrCHCQfUJx8deiEOYMeoFx5/ColarmSP+XTkaT8OiVCr5+fylsZC03fOyZ8FCZ51CoWiTov1LYvmux+VpOGQyWV9pPn8Ox9PsO3OQBa/BUapn7X7Szwjyk7DQgdYNln7hoD/PerA+zzHp9GB9nlgE7/EXxSLE833A0qk9j3nbpT2zg/y87fv8fAZYvv9Yvi84BlgGWP6vYvm+4HiadcpBjgPY7xzOY6P0YwcRlpHnjaUDexKWvuDo8Eb9XMfk+4SlQ3tuWICO8TxXLB3ac5m3Xdr3Bcv3/fkAAyzfdyzfFxzAAMsAy5Pt+47l+4LjidZRBHlgAxvYwAY2sIENbGAD+//dBo1CBjawgQ1sYAMb2MAGNjCBDRzkgQ1sYAMb2MAGNrCBDUxgAwd5YAMb2MAGNrCBDWxgAxPYwEEe2MAGNrCBDWxgAxvYwATWkYrF90mS4/uC5fuCY4BlgKUTLH9Bmbd4s9m0fR+wfJ+fzwDL9x/L9wXHAMsAy/9VLN8XHE+z76zV9MAGNrD/29anjld9kfQRNoEA+oatK5NIJE/q/vmd46BOWMe7tT2PVtPPgoW6yVHXNJFI1NY45Lt6ZtQUSiQStXUGFTZbETYKou89DxzU2U7YdlvYNfX4mDyv8RGJRJBIJNwHgOaNsOnL8Xn9vFr9CvsAUEMRYcMbYXMksuc5p4Xd3NRqNa8h4fwVNjd73i2yaVwMBgMkEgnP12q1yn/InmdzDTKxWAyz2dzWdY8aaAmxULOc52UikQg6nY4bzzUaDW64Jnwm1B25Gxs4yAMbmMC67W71POxJWP4S+J7U5U94kH/XY3W8E+XTHK3njev4wU5fhc7Pd4Xr+FhQW26h8yc8zJ43FmEzKOpCCTzu1Fir1b41h54nFpFIhGq1yl0H6d8AUK1WnzsWYSOoer0OuVwOhUIBsViMcrkMsViMUqnUdvHrQqf/mbHQ61erVcjlckgkEv4jFotRLBbbsHTS1r5bo0sUOTrU0j2VSgF47JRSu+znbY1GA5VKBUqlElarFUajEaFQqM0R7LR7Z6cm3OvK5TIkEgm0Wi2GhoYQj8dRKBTYKRY6p8/TxGIxKpUKarUa9Ho9jEYj8vk8SqUSO8XPe1yAx5f/SqXCXXfpUpPL5QD0PibPxUEWbtTC9qvHD/rv4rZMG+TxqIrw/WjTPv7+/cRDOIDHt9/jN/Qn4Xgem7XwMKeJTLdB2qSehKXfvdnpfSQSCR9Y1GZSGHV6klPY7w2boiiEpVarQSwWc2SFsAmxEB7C0q+xIeeCDivCIpPJIJPJOMpDB5jwvWnc+oFFGEmh+UAY5HI5isVi2zwSdqM8/u9+YRGOjUKhgEqlgkKhQKFQ4KhYoVDgcQBam6Tw3/3CQuMilUohl8uhUqkgl8s52iSRSJDNZtsO9HK5zGPTD6O1TPNWJpNBKpVCoVBAJpNBoVBw5DIej6PRaPChUSqVUK1Wez7Mjj8bckLJCZTJZBCLxTAajWg0GtBqtQgEAm1OarFY5EO3H1jo2UgkEgDgCwM5g263G8ViEVqtFvv7+217YalU4rHpBw76t3DPokjp6dOnEQqFIBaLEQqF2qKU1WoVhUKh50Ne+HzIhOcyYTSbzSiVSrDZbEgmk21zo16vI5vN9g0Lnf30lfYyOhNVKhVkMhmcTifkcjnK5XJbVPDo6KhvTpgwAAA8PpcJk3A+63Q6NBqNtnbMkUikb+tZiEV4uRWLxajX6xw5LpVKkEqlMBqN7AzSJavf+xxhoT1GLpdzF+R8Pg+dTgepVAqdTsfzSiKRIJfL9fUcIhy058lkMt5La7UajEYjZDIZNBoNz1O1Wo1UKtU1jr45yLT4lEolFAoFNBoNbzQSiQQqlQpHR0f88yaTCeVyGblcrs3p6MdBRljo8NRqtWg0Gsjn84wtHA5/C0s2m+XvNZvNng8ywqFWq6FQKHgi5XI5aDQaaLVaHBwc8CZhNBpRLBbbUgJ0i+0Fh9DhVavVUCqVMBgM0Gq1yGQy0Gq1UKvVODg44BSOwWBANpvl2zvQ2iRLpVJPG5MQi1arhVKphEajwfDwMEQiEaxWK8RiMba2tjjaolQqkUql2iZ6rVbr+fA4Pi5yuRxarRbz8/PQ6XQYHR2FVCrF1tYWotEoR73i8TiSyWSbA5bNZntKtQmxaDQayOVyGI1GDA0NAQBOnDgBp9OJer2OnZ0d3iTD4TCi0ShjKZfLSKVSXafahJsRORN6vR4WiwUmkwmzs7MwmUwwGAzscB0dHcHv9yMcDvPcKBaLSCaTKBaLXY+JEA9tiiqVCgaDAePj45idncXY2BjMZjPi8TgAIBwOY2trC6FQiOdGLpdDJBJBPp/vCxZyKGhNDw0NYWRkBDMzMxgaGkKxWIRKpUI0GsXm5ibC4TAfqKlUCqFQCOl0uiccx7HQhcFut8NsNmNychIejwcKhQIOhwO5XA7r6+sIh8P8TBKJBPx+P5LJZE9YhJcncgLlcjmsViuUSiUcDgeGhoZgMBjgcrkglUqxtraGcDjMzyiTyWB3dxfxeLzrw0zoEEskEj7EpVIpXxycTieGh4dhtVphs9lgNpuxurqKcDjcdonZ2NjgM6JTPHRRIBMGZuiPQqHAzMwMTpw4gbGxMchkMuzt7SGZTPL7SaVSrK+vIxqNtr1OJ3Y82CF0jIXOl8FggNfrRTabhcvlglqtbrvg6nQ6PHr0qGcsxwMM9P6EpdlsQi6Xw+FwoNFowOVyccSSsFgsFty5cweJRIJfqxssZE8K3NFnlEgkMBgMkEqljEmpVPI+53A4cPXqVV5D3c7dP5cZbDQakEqlUKlUAFp+VrPZhM1m473F4XAgnU63+TH9xEIXGro8KBQK/p5IJILL5YLRaAQAuFwuxGKxtotEt/Y0HDRfaM1rtVrIZLI2HG63G8FgsOuzuWsHmW4SQOsgtVgsDFKr1fJGSBGFer2O9fV1jhK4XC7s77foiEIuGB3snSxAuk3Q4rLZWjVAarWanQyNRsMTrFqtYn19naMEVqsV+/v7bRENuiUKI8/PgoPSiTKZDFarlcfEbDZjeHi47ZZTqVTYEczn8zAYDNjZ2YFEIuFxEG7anY7J07A4HA6Mjo7C4XBAJpNBrVajVCohFAqh2Wwik8lAqVRifX0dCoWCD1SaZMVisWOHnZ6PTCaDyWQC0Ho+ZrMZIyMjePXVV3l8jo6OEAwGkUgkOFKwsrICrVbLt2VaeLlcrmMswnFRq9UAwJeGxcVF/NM//RNUKhV8Ph8AIBgM4tGjR0gmk8jn87h//z5isRhvRIQpnU53fHmgCLVMJuPNz2AwwGKx4IUXXsDFixfRaDRw5swZmEwmFAoFrK6uIpFIIJVK4d69ezCbzXypoo2aIkDPanQxkkqlvEFqtVoYDAbMz8/jpZdegsFgwNmzZ3lzpktLLBbD8vIybDYbX6hisRjEYjEikUjHm5MwgkNG0Vm73Y6lpSWcP38eb7/9NtRqNSqVCh8M0WgUJpMJh4eHjCUQCEAsFiMQCHTssNPBLTxQydkyGAyYnZ3FxMQE3n//fQwPD/MarVQqiMfjsFqtCAQCHBzY29uDVCpFrVbr2GEXYiE8NJcVCgWcTifm5ubw5ptvYmpqCkqlElqtFmKxGJlMBg6HA/v7++ycb25uQqFQYH19Hel0uqPDXfiMjkco6VI1NjaGCxcuYGpqChaLBXK5HBqNBs1mE9PT01hfX+e1s7m5CZVKhfX1dcRisY7WNM1d+iocL9oHtVotJicn8d5778Hj8aBQKMBkMvE6u3fvHu8pW1tbHOiJRCJ8DnQyJkJHVPiHXnd+fh7vvPMOfD4fstksNBoNzp07x5dfoLXvyGQy7O7uIpFIdPSMCMvxLKXwWVF2we12Y3Z2Fi+//DI2NjZgs9m+RcehgIBarUY2m0UikXjm8+g41ec4FvoZANDr9fB4PPjhD3+IZDKJ8fFx1Go1HB0d8c/kcjnkcjn4/X5Uq1XEYrGOzmh6v6f9DmGUy+UwmUw4f/48JBIJTpw4wdkpslKphEgkAr/fD6C7aPKTahie9DMqlQo2mw21Wg0ejwcOhwM6nY4/U6VSgc/nQyAQgFQqRTwe7xjL8WcktOM0JHJMDQYDxsbGYLVaOdperVbhdrsRiUSgUCiQSqU6wiLEcRwPzQOKqlNw4OTJkzh37hySySSUSiX/rtPpRCwWg0qlQjqd7ghH1w4yee8KhQIWiwWzs7MAgIsXL2J0dBQikQhHR0cIh8OIxWJIp9OYnZ1FuVyGSCSC0WjklBcd7kSu7vQWRk6sXC5nhwsAFhYWMDs7C5VKhXK5jGg0ylGt6elpLthQq9WQSqUcqQRak61cLneEhXDIZDLo9Xo4nU4AwNTUFM6dOwej0Yhms4lwOIx0Oo1KpYKpqSn+3MIoPOEol8vPvEE/CQsdDna7HQAwNjaGV155BUNDQ2g0GhzNqlQqGBsbg0gkQrFYRLVaRbPZxMHBAR/uxWIRxWKxq1syHRx0aAOt293S0hLOnDkDq9XK7ysSieDxeNjxo8ix3+/nqEEul+u6CIAODkpBA4DRaMTi4iJ+8pOfwOPx8EWO0n0+nw9ms5k3wO3tbR6Xo6OjtkxIN+NCeIDW85+cnMSbb74Jp9MJvV4PvV6PcrmMYrEIo9HIjuzMzAykUiljkclkyOfzHWN5Eg6VSoWJiQm8++67mJ6ehsVigUajQTKZZG6pSqWCTqfD5OQkAPCFQyQSIZfLtTm5nWCh1C9dwtVqNYaGhvDCCy/gjTfewNzcHHQ6HZLJJMrlMjsVSqUSPp8P1WqVLxy1Wg2ZTIYdpk7XNEW4CItSqYTRaMTY2BhefvllXLhwAW63G7VajaOWtHHTXKINu1gsIpvN8vPrNjpJr0cZMZPJhKWlJbz66quYm5vjbIeQt+l0OlGpVKDT6QCAeYPEhe3k4BDynGm+EP9Po9Fgfn4er732Gi5evMgHaTab5fehg57WMK37w8NDHB0ddY3l+KVKp9PB4/FgcnISP/7xj3Hu3DnI5XLcv3+f15HNZsPi4iJfWChTEYlEODPxrDiI2iGk01FAhLIwXq8X77zzDmc+LBYL9Ho9CoUCLly4wJc4jUbDKfROo/y0xwmx1Go1diaMRiMMBgNEIhF+9KMfsSNqNpthNBpRKpVw4cIFvjRsbm7C4XBALBbjwYMHHWE5HiUmLLTG1Wo1dDodKpUKzpw5g4sXL0IsFqNQKKBUKqFSqeCtt97iuby9vQ2n04nr1693jeVJlEe6TBGFwGg04pVXXsHCwgIHJKrVKt5//312aLe3t2Gz2fDVV19heXm5431XSDkhfML/E2aKfD4fzpw5g93dXfZN3njjDcZyeHgIrVaLW7duYW1travz6M8ZZdZ1Oh0WFhZQKBSgVCphsVjw2muv8ZgGAgH86Ec/ws2bN3FwcNDx/kLv9SQTZkuVSiXm5uZgNBphsVjgcrlw+vRp3nOCwSD+5m/+BtevX0c4HO44oDbQQR7YwAY2sIENbGADG9jABNYTB5mKT7RaLc6fPw8AeOmll6BQKBCPx7GysoJr164xJ29oaAjj4+PQarXQaDTMDRRyfigC06lR1Eaj0XA0a3FxETabDYVCAVtbW7h+/ToKhQLUajXcbjeGh4eZB1soFBAKhdpej6KoneJoNBowGo2cop+dnYXD4UCz2cTW1ha++OILxjEyMoKRkRGo1WouMBLyo7vFATwuHiN6BwCMj4/DZrNBLBbD7/fjgw8+QD6fh0ajwfj4OCYmJmA2mzkCKBwToHOqhxAL8JhuArQi62NjY5BKpbhz5w5u3bqFQqEAuVyOkZERjI6OQqlUwmw2I5vNIhAItL1mqVTqiptNz0ilUjFXaWxsDJOTk5zmvXnzJgKBAGQyGdxuN7xeL5RKJUc7iDICgKPu3XCzaVxkMhlHBYkfXq1W4ff7sb6+jpWVFSiVSgwPD8PtdkOlUnHKVii3A7Qig51ys4VZGIoC062cpHMuXbqE5eVlVCoVDA0NweVyQaPRtBVECeWPqKinm0gp0aU0Gg2AFgdyZGQEZ8+exejoKDY3N/HrX/8asVgMRqMRNpsNGo2G6VxULAe0oq65XA6VSqUnLPR8JBIJlEolRkZGMDU1BbFYjI8//hjxeJzTshqNhgvUlEolZ8lkMhljIemqZ8VD9AqieADgQiqPx4P5+Xm4XC7mitKc0Gg0UKlUXGtAkVKlUslRZJpDnUbXhQoVpMYw8v/Y+7LfOM/r/Gf2fR/Ozp2UuGi1FluyLS9JbCM7UqNGUjS9KJoE6EXRXvS6vS36H7TjlXfmAAAgAElEQVQXQe/aojHQBnFiO7Esx5Ipm6Io7tuQnOHs+77P/C4m5+gbWnY0M1Si9jcHCOTI5vCZ93u/9z3Lc54zOorTp0/jwoULzFEPh8NIJpPMExwaGoJOp2MqmUajQalUQrlchlwuZ9mmbrAcz1CKxWJYrVZcvnwZb7zxBi5dugSVSoX9/X1sbGzwe0w8dvp9BoMBBwcHqFarTDF73HNGyO0FHp7BVAG5dOkSbty4gStXriAajWJvbw8KhQKBQAAjIyNwu91cJRNSp7rN8lOW9FGN8LSXx8fHMT09jb/5m7+BVCrF22+/jfHxcVQqFVy8eBFjY2Ocuc5kMpBKpVCr1dBqtUilUl3RGr4om0lUh6GhIQwPD+Pv//7vMTQ0hA8//BDNZhPZbBZXrlzB2bNnuapaKpWg0+lgNpuh1+uRTCYfm8b1ZViAh1xfvV6PN954A2+++SasVit8Ph9WV1dx7do1XLp0qaPCq9FosLOzA6vVilgs9tj3wBc1oJPRmUyVqB/+8If41re+hfX1dSwsLODKlSt45plnOrDIZDIEAgFks1kkEomu7qTfx4Om5mOxWAy3242/+7u/g1gshtfrxdWrV+FwOLiSmclkMDU1hUQiAalU2lWD5+87o+nficViaDQavP766zh37hxMJhOeeeYZtFqtjn07OzuLRCIBg8GAcrncVTWmLwdZKpWyQ3r27FkA7YMuEolgY2MDe3t7KBaL3M0YCATQaDQwOjrKpR7iZAHouXwPtBdLpVLBZrOxM6hSqZDNZhEMBrG3t4dCodCBpV6vY3h4GHq9nvmodHkUi8WesBC3S6vVMheaNkgmk8H6+jrTA5rNJo6OjlCtVuF2u6HVarlsTeXcfD7fc9MiYaGSGlmhUEAqlcLS0hKvCQD4/X6Uy2W43W7odDr+ecLSLY/oOBZSiSAOMjkT9Xodu7u7yGQySCaTrNSQTCb5+QBt54JKJ6QG0IsJy2tUbjYajfB4PFCpVDg6OkIkEsHh4SGkUimSySTC4TA8Hg/jFZZy++l4p4uMnFMAcDgcmJ2dhcvl4kvU5/OxQxMIBOB2u2GxWDh4oj1CagDdOoJ0WNdqtY6u9pmZGTidTsjlciwvL2Nzc5N56n6/Hx6PB1arlcv5tA6FQqHvpkWiKQBtB2FiYgJjY2NQq9VYX1/H6uoq4vE4jEYjB70OhwMymQylUonL9+QE9ooDeFgqB9oOss1mw/T0NGw2G/b397kxkN4Xl8sFl8vFvHkhX53eN2HT1ONioWdNZ2atVoPBYMDY2BhGRkaQz+dxcHAAn8/HEkhOpxMul4uDXuIgEy5a627PO2GCBAAnQpxOJ+bn52EymRCLxbCzs4ODgwOk02m4XC5YLBao1WrU63W+rIQNwUKt4sc16vCnIIYcHeLQT09PQyKR4ODgAAsLC1hbW8Pw8DDz+smRJyzkAB7nnD4ODgC8V+iskMvlcLvdePHFF3H27FmUy2Xcu3ePeeqkLpLJZHjflkolpNNp1Ot1VkN5XKNSuJACAzykwbjdbrz66qu4cOECGo0GFhYW4PV6uWGQOPLCRmRyROPxeNdnr9C5Ah6ewdSH8sorr+Dll1/G7OwsVldXsbq6yn06tVoN+XyegzGilJVKJUQika7P3uPqSGQUAFy5cgXPPvssXnrpJTSbTdy9e5cDXoVCgVwux3uegqlisQifz9d1czRheZTJZDKmrz777LMYGRnBzs4O5HI5PB4PjEYjstksJxFMJhO/Z16vt+sz78vOIwrMDQYDDAYDXnzxRVSrVQwPD0MsbusiZzIZ/i4qlQq7u7uIx+PY2dnpqvfj951D1OSqVCpx7tw5WK1WnDp1iu+BtbW1jgA1GAwiGo1ia2ur676PvlUsxGIxLBZLx2WYz+f5xSahbZVKhVarhUwmg3K5DKPRCL1eD61Wy5eHTCbrKcNDOID2AUAbgyQ+KNNIYvFqtZqxWK1W6PV6VncQdkH3uh7k8NDLQpkSUvWgxhm1Wo1ms4l0Og2j0QidTtfhHAu/Vy8mdCZpTUwmE8rlMgqFAjeHAO3AptFodGAhbcGTkNMRcuHoEnO73ZBIJEgkEshms5whk0gkqFarSKfTvEco00Dfox9MxP+k7m0AGB8fh1KpRCqVQiKRQKPR4CwtXQ46nQ56vZ4vM2HDYK9BDD0jeo+AdmbdZrMxR5M4X2JxWzOVnBK9Xs9ceXIuemlapDWh9afDf3x8HC6XC/V6HUdHR8ydbbVaHEBms1kYDAY0Gg2USiXOfqXTaT4Tun2fhc1WtD6kOJBIJJDL5RAMBlnFhL57LpeD2WxGtVpFLpfjSkw4HGa83WI5zhEEwLxWOl/29vYQiUSQSqW4D4K4k+l0GqlUCn6/HwC4Sa4XtR4hH5GeMWm02u12VCoVBAIBBINBllEzGo2o1+sol8v8nu3t7QFo8ydDoVBPVSFyMI5j0ev1GBsbg0ajwe7uLnw+H9bX11lSjfZJKBTiwBgA1tfXsbu7i1wu1/W7LWy8IixUCRkdHYXRaEQ4HMby8jI+/fRTpFIpzsJXKhUcHR1BLpfzuiwuLmJra4sbhB/3ThLuFaF8JmnXWq1WVn+5e/cu7t27x41D2WyWhz7QXrl9+zZ2d3eZ+9rLmlDwAzyUaDQajZibm8MLL7wAg8GA9957D7/85S85u0znfrPZRCQSAQC89957rDJCfUS9BOBkcrmcZdxmZmbw1a9+FbOzszg4OMD777+P7e1tmM1mSCQSRKPRDiWY999/H5ubm4hEIl1jeZQzSmo9ZrMZTqcT3/nOd/DSSy/BbrfjZz/7GQdTlUqFqyEUdPz617/GwsIC/H4/S012Y8fPFzrvVCoV3G433nrrLbz88stwuVzY2NjAZ599homJCc6SkkILAHz88ce4c+cO/H5/130oj/pvaV0p+XjmzBm88sorOH/+PJrNJvx+P/eSBYNBXh+gvXcfPHiAaDR6IupBwqyx2WzGM888g+vXr2N0dJR7uMrlMvb29nB0dMRNkw8ePIDX60UikeD7uhvry0FWKBRwOp04ffo0Z21JTuj+/fvw+/3I5/N8OI6MjOCZZ56B3W7nBppkMsmL2o+8G2VJKZNCWAKBALa3t+Hz+fiF0mg0GB0dxZkzZ2C1WlkGzmq18qXaa/ZLpVJBrVbDZDKxo5HJZFCr1RAKhZBKpRAIBFCpVGAwGDA8PIyzZ8/CZDLxRBitVssHbKFQ6DmrrlarucRLn0HSK6lUijtwqTHS5XIxxUKtViOTyUAikfAG77bTXWharZazF3RgJ5NJztbIZDJks1lu7DIajSzHJJVKkc1mWa0AADuxvWKhLBztOcrcUDBVLpdRKpVY89dut7OzcXR0hEwmww081C3cy9oQlYKoEsDDBkTqoJfL5R00CpPJBJ1Oh3K5DK/XyxcIYem2PA2A1V0UCgXjKJVKyGQyUCqVqFQq0Gq1KBaLqFarkMlkHSX7w8NDxONxHB0dAWg/n17pOESPEFYviH6UTqdZX1epVHJml6gvzWYTh4eHODo6YpWceDzOZfJunxGtOzkXQPuZiUQiFAoFzuAQ/UapVLIiilKpxOHhIfb29nBwcAAALDfXC21KqGIh7CDXaDQsSTk0NASfz8eXvlwuh8FggE6nw9HRUQeWYDDI71Uvz4my2XS56nQ6vjBJbikYDPJZRuoWJpMJoVAIe3t7/IwODw+54bLXZp5Go8F7V61W83kql8sxNjbGaiLJZJKfj8vlQiqVwurqKq/Lzs4OQqFQ17Qp4RoSDpKOpEa8bDaL7e1tbG5uYm9vDzabDTabDSaTCYlEAsvLy+wg7+7uwu/3dzRNd4NF6FQAYLoYZbELhQL8fj9u3bqF9fV1GI1GmEwmeDweeL1eJJNJprXt7OzA6/VyZahbLEBn5Y4SAi+//DKmp6chlUpxeHiIhYUF3Lp1C+l0GlKplBWmVCoVn3ErKyvY3NxEPp/vupFe+IyEGtUajQZzc3Ow2+1M19rc3MStW7fg8/mQSqWg0+n4jKR76O7du/j000+RzWa7bqZ/lKIHZUfdbjcuX76Mb33rW7hw4QIWFxexsLCA+/fvY2dnB2q1GgcHB9woBwBLS0u4d+8estlsTwIDx7EAYLqJ0+nET37yE7zyyivwer24f/8+tra2kMvloFarkc1mYbVaOaDa2NjA6uoqV+969RvIqAqj0Wjwl3/5l3j55ZcBtIPyo6MjbqKk37m/v884tre3USwWUSqVuj7n+pJ5A8Dd+xTdNRoNllwiDWQqfSmVSgwNDXXoUhYKBc60lkqlx5I8eZRROQx4KAFGusL0QlN3KvG5TCYTc8Tq9ToymQxHGcVisScs9XqduUDkZCsUCuaz6fV6Lt+RU2QwGPi75/N5zvQAbQf5yyRpvszoUFUoFLwmlAGkYKJcLiOTycBoNHJ3PjlByWSSNx6AvvQViXMpFos7Ps/r9UKn02F8fBylUgnRaBR2ux0ajQZOpxPVahWRSIRl36gk28/4SJpYJZfL+fOCwSDzSvV6Pex2O08KksvlGBkZQaPRQCAQ4AOTArt+hMhpYpVSqeTs687ODiQSCS5cuMDlegA8cMHj8QAAfD4fDg4OUC6XeU17xVIul/mioHfg4OCAOYcymQyTk5Nc9QDaeqTEQfN6vajX64wjlUr1lLEFwIou5LTT9woGgxgeHkar1cLo6CgPEKCASqVSwe/3Y3d3l2lEAPrSS6UMolQqZcdNqL5QLpfhcDjQbDaRy+VYN5Wmbm1tbSGZTHIwFYvFel4XoeN43Pmhihg5OOQgGwwGWK1WBINBrK+vIxaLsaMRDAY76DndGP2M8GeVSiUHNIlEgntNKGGh1+vhcrkQiUSwvr6OaDTKzqDf7+8LizDbBYCDN1JJymazkMvlcDqdkEgkrINcKpWwtrYGn8/Hl6rX62X6SDcmlKUiB5lK0h6PBxKJBPv7+7z+pBtN2X4654SOOmnB98Kbpz/pmdhsNpw7dw5nzpyByWSC3+/HxsYGkskk9xAcHBwwxWJ/fx9erxcAsLq6eiLDfyjIJEnNs2fP4tSpU8hkMkx/yWazMJvNrJRTr9exsLCAjY0NAO2sIM0G6AeLkL41MjKC+fl5vPTSS3C5XNjb28M777yDZDKJiYkJlEolFAoFqFQqfPjhh1hfXwfQdpBpNkA/WIQVcLfbjWvXruGv//qvcenSJaRSKbz77rsIh8N49tln4fV6EQwGuZJG++X+/ftccewHi9BZN5vNuHbtGv72b/8WN27cQC6Xw+rqKvL5PG7cuIGtrS2srq6y9B/pZFNg1w8WoaOuUqlw+vRp/PjHP8aPfvQjpNNp/OIXv4DH48G1a9fg8/mwuLiIxcVFbG5u8r1OicBecfTlIEulUthsNoyMjHDjVSwWg9lshsPh4AwPlfLJUaTmKMpuEJ8O6F30WywWc9mZOKuFQoF5RcPDw7BYLEgkEsxlLRaLnCE0GAwdNIB+yrGUdSIqQSaT4YPf7XZDrVZzQ49KpWLqBTnMxzOAva4J0H7xaB0AMAe7Xq/DarXiypUriMVijAVoO21CrdZHXczdYqHMVz6fZ01mGlJSr9dhsVhw48YNRKNRSKVSDqKi0ShzJYUahv28dPRsKfoFwMFRKpViHc5oNNoxjnZnZweBQIA1kIX63f2sS7PZRD6f7+B653I5JJNJjIyM4JVXXmEpOaKkPHjwgJ2vRqPBOHvdt/QzuVyOaSfEV00kEpiYmMD169dRKBSQTqehVCoRDAbx6aefYnl5Gel0GiKRqINWcRJrQtx5OoBjsRimpqYwMzPDZUatVoujoyPcu3cPCwsLiEajaLVaHBT2ioV+FgDLoQHtfUuZSLvdjlOnTuH8+fOcmQwEAnjw4AFu3brFvQ7kUHfbCHccC1F+6DPo3aC9MjIyglOnTiGZTMJoNCISiWBnZweffPIJdnZ2UC6XOQDqB4sQEzkaFFhTeddiscDtdmN+fh5arRaxWAzRaBQrKyvci0FBNyUq+sVDz6hcLnf0UajVapw/f57lLWOxGCqVCj777DOsrq4ikUhwINXvNEqiFNJnaTQamM1mpsIYDAZIJBIMDw8zl9br9eLo6AixWAyxWAwAWGayX2eH7kOi9ZFjqVaroVKpWKe6Wq0ikUhgd3cX1WqVqTCE5SQmY1JVValU4tSpUzh9+jRsNhtyuRwUCgXm5+cZSywWg9/v50lpwWAQAE7EOaZMLdC+r8fHx/GVr3wFly9fRjabhVQqxezsLI8t3t7eRi6Xw+HhITQaDTul1AvTLxa6n8ViMex2O9566y2cP38e1WoV2WwWMpmM5zmEw2EEg0E0m02YTCbO8p+Eo0546E+tVou33noLly9fRqVSQTweR7VaxejoKBwOB375y19ifX0dqVQKCoWCHVOSST0JRx1oO8h/+qd/iq997WvI5/M4PDyEz+fDyMgITCYTfv7zn+PmzZtYW1tDs9nkDH+/z6dnB5mymiaTqWMkZbPZxMjICBKJBDQaDYaGhjhjCQAejwc6nQ4SiYQboeiAJf5TNpvtyhEi7plQgxVobxiVSsUUA8pSKpVK3ojER02lUjg6OmIHmbAcdxAfB4dcLmdSOwDmSVFmeXZ2FuVymZUQDAYDZ7cTiQTC4TDjIEexW8UG4g6TOgatDZVTKaM9OTmJ4eFhdoglEglrtRIfVxjdSqXSrkuyxMmjA0moT0s0Dr1ej/HxcXg8HubaJpNJpulQOVuIhazbrJNQI5cwEf+aynrT09NwOp3M3zw4OEAul+PKiFCDmTDRJd+N1et1yOVytFot3i+tVnsIRyAQgMViwdTUFKxWK49MXllZQTQa5bIeXaS01sSBf9xDodVqMVWBmpvo++RyORwdHcHhcPDgEJvNxu9GLBZjVQb6HMIh/PzHNXJm6XwRNsnRFLrR0VHodDpotVqmm+TzecRiMS7TnwQW+u+F1AZaF8pQ06RHm83G2cJMJoNQKIRIJMLcZwpg+sECPNxrQizkzFCjGilEGI1GnpZHWIirdxImHLUt/E7CHgyiJlHz9tbWFgKBANOIiL7V76VOZ5Owf4P42QqFAvl8HkNDQ9Dr9VAoFPjVr37FmWPiAFNVqh8sFNwLBxVoNBq4XC4MDQ3xmdJoNOB2u3Hr1i0Eg0EOFmj4Tr84hFioz4RUZigRo9VqWd+92WxicXGRm7YLhQIPagL6oz8KsZCDTJQoGlKlUqkwOjqKy5cvo1wuY2dnB7dv32Yt6nw+z1WYk8AikUh4XZRKJWZmZuDxeDiRZ7VaWQeeaFH7+/sIBAJ8RwPouspw3CQSCQsWAO1eoAsXLnClg2h+4+PjHPRRcyfR2IjW0A1f/ouwCP0WtVqNM2fOwGw2M91OKpVienqafSegHRjTvUj7pR8s1MdFdzxpHTscDl57nU7HFcxkMgmv18t3NCU/gRPYK73+IGUXSVLo3LlzANqLPDk5ifn5eezs7CAej0OlUrHMmcVigcfjQSgUQrFYxPT0NJaXlwG0yy/ELe1mYalbm2RNSCWBuHenTp1ih0KlUmF4eBiNRgM6nY6bJuLxOEwmE3dbymQypNPprhaYOnXJ+aWggPia9L2IZzw+Po5qtcqHOjnpwguHZKF66eomx1SlUnEWgbIGCoUCQ0NDXMI/deoUZ35isRhTCYQmk8m447sbI8eRsurCIQdUHqesst1ux8zMDGd0iMe6sbHRka1SKBQ9YRHuK2oKJcvn8zCbzVCpVBCLxXA4HBgdHeWAZXFxkUvZxJGlNe3lGQnL5MJmp3q9jkgkws2kNEHObrcjFAohGo1CqVSC5OWE3fuNRoOrBN0aVVCEzlw4HIZarcaFCxegUqngcDhgMBiQTqfh8/mYj0tSYcKAo1clGOCh8yXEEovFOKNlMBjgcrkgl8u5w59kwqgyRAe9XC7viwdHzpeQS0vNd6Sc4/F40Gq1OMtN/F7KjAk78HsdA06/m5410N5D5GzSeHIaiRuNRhEMBnkSG2XGaF2ENLBejJwvYaNppVLhAFosFrNCEOFYXV1FOBzmZyZUe+gVC13qRBMjLESLofXRaDTQarXwer0Ih8M4PDzkpk/ilgLtvdvLMyIc1MMhXCNS5ZHL5RgeHoZOp+OLnqodxKkV4ujn+ZCcnnA8MdCmvxAn0+PxYGJigptdNzY2kEqluCeDsAgVanrFYrPZ+B5SKpWIxWJ48OABqwAJ+1+q1Sp+85vfcOWIEjongYVUaAiLQqFANptl9Yxms4mJiQnYbDaMjo5yxSGdTnPCiN7nXimhQixms5mddZlMhlQqhTt37mBpaQnVapXfZ6rSh0IhFAoFTi4J379+mtepqVd4P1cqFR72YTAYcO7cOVgsFmi1WkQiEVYqozOXsBBttVccer3+c36C3++HUqnE1NQUhoeHEYlEIJFIEA6Hsbm5iUKhwAGFUAazH+urSY+amba2tphnZrFYmMc6Pz/PmqnEsSX+p8ViQaVSgcVi4XR4P6UtcsCSySSXYlwuF3cJk+7x1NQURzbknCoUCmxvb3dMsCNCdz8REEVTHo8HWq0WyWQSCoUCJpMJc3Nz0Ov1nH2niU4ffPABRCIRZzPosun1cqcmEVpjaiiSSCTsqFOZizJLFosFZrMZ//3f/w3gIfe4Vz1mMoVCAYPBwN+NeJJ0iZHmsVwuh16v54tFIpHgzp07kEgkjKWXiYvH14UcW+BhU02pVGJqgdvtRqVSgVwux9TUFK5fvw6gza8Sqif04wgC4Il+lE0jLjr9L5VKYWhoiCkWc3Nz+PrXvw6lUonbt2/zqHIAPWcH6XKXy+UcJNI0K8qcJ5NJlvOpVquYnp7Gd7/7XUgkEty+fZsVNYD+no8QC30fcr6okTKdTsNgMKBQKKBQKMBsNuPixYtIJpPY3t7mzCrQ374lrrpcLufPo2oPUaFyuRyrsBDlw+12IxAIsOQeBT/9ZJyEso108AvpadTTEY/H0Wq1EAwGWbXHZDIhl8t10E36KVMTFpVKxRchZSYp6CReqUQiwdbWFjdJE1eZeO8ngUWlUvEYa6BdpSJNbOpt0Ol00Ol0ODg44CCSLmLh1MdesYhEIm7QFMpdNRoNJJNJdoQrlQqMRiOMRiNsNhvriVPzdr84aE2USiVMJlNHcFYsFpHJZPgdpvfsueeeY+lGsbg9lp36cID+MnH0PptMpo79Gg6HWarMZDIhHA5DJBLhO9/5DmKxGKxWK+tRE82AsPR7thgMBnaQqSQfDAaRTqd5ymM0GsU3vvENntVAyjxUCQb6e0ZCaihl1ulsy2QyODw8hFKpRDKZRD6fx/PPP49QKMRVBpLAE1b8+qU00HsEtO+1SqUCs9nMCQ+/349IJAKNRoOPP/4Yh4eHyOVyXMU6CSz0HhEOcnxdLhcMBgMrvWQyGaytreH27dtYWlrifjPhO9TvmvTtIFPUOTU1xYCIOkBpduJP1ut13Lt3DxcuXMALL7yA0dFR7O3t8cvXi0yKEAsNkyDHhZQTiPpAGVByKLa3tzE7O4uLFy9CKpVif38f9+7dA/BQv7LbC40+OxKJcNCQzWY50qPBCTT+tlAoIBQK4fTp05iensbXvvY1bG1tsRoAZWJ6uVhpU5NWLNDOHohEIs6WU2cujeAuFosYHR3F7Owsrly5wh3dwMNycy9YSKItk8nw4RKNRvmiyOfz0Ov1zPOiMrnD4YBGo8HNmzcRjUY7qDfCwRTdYqnVajysBWhn72kUODmE+/v7nNHXarWYnp5GMpnERx99xPKB/WIhKgA54kD7QNBqtUxjSKfTWFhY4PUgrW9S1chkMuyY9vuMhAcuBVCUuSgUCvjkk0/QaDQwOTkJo9HImXwqywp/rzAr3osJ9aabzSY3fFF1h57NyMgItFot8/nJiRYejL02ugqlzISOBg0CEovFCIfD8Pv9XKmxWq2Qy+WcuTy+L/rBQntESFeyWq0YGxuDVCpFKBSCz+djyseZM2ewvr6Oe/fuMcVC+Hn9lEFVKlVHeZi+OzWkBQIBhEIhTExMwO12c0MnaZ4LL7J+sND7SYNiALByhNvthkjUHmEtk8mY46rX6yEWixGJRDgjJ1Q16AULdfxTwyjQDn71ej03nYVCIZhMJtbITyQSyGQyCIfDCAQCyOVy/B36XRO9Xt+RKSV6BQVs5XIZdrsdU1NTKJfLPLvA7/cjHo+jUCh0aCj3atSITqpEQLvPQiwWI5VK8b1PdA9S1tjb22Pf4TjFsJ91MZlMmJ2d5WbnYDCIWq3G2dBmsz24RCQSYW1tDXfu3EEymeRMN3Gg+zWJRAKj0YgzZ86wxOfW1hbq9ToCgQCSySQsFgtOnz6NRqMBr9eLw8NDptXR/+gs6bdhkTLEdCeurKwwnSwWi0Gv13NmfX9/H36/nxMhlKAU9sL0ikOv1+OZZ57hd+jevXtQKpXQ6XQ4PDxEPp/HM888A5fLxVJydK4d72Xom6bU10+jnSlaX1/nBofTp09jfHycuVeVSgU2mw3RaBQ+nw8bGxv48z//czz//PNMH6DD4vDwsK8vVKlUsLOzw/yTyclJjI2NoV6vM79ybGyMy2sHBwf4i7/4C1y6dAk6na6Dx0wRf7fWarVYW5NeIrfbjYmJiY4mPpKg8/v9SKfT+PGPf4yZmRlYLBZIJBI+mPrJThIW4m4BYEeZymeU5T44OOCSxY9+9CNYLBbYbLaOkmw/mTjCQqocwMPLg5rlqJOdZFncbjf+7M/+jKfHCXlJwoOhFyzUREAvNF0elHkkZYa9vT1YrVbcuHEDly9fhkqlwn/8x39wANOvCQNJIa/UYDBArVZDKpVic3MTBwcHiEajuH79Ol577TXMzMwgHA7jnXfe+dxh3UuQSYecsGTXarW421+r1WJtbQ3r6+soFot48803cfXqVYyMjGBmZga3b9/u2Bv0fXq9SCjoIOdLJpNhZGQELpcLEokEn3zyCXfcv/XWWzxJbnV1FRoUXFgAACAASURBVNvb2x1YiFvXTxaMKjHAw45qi8WCXC6Hzc1NZDIZGAwGfOtb34LZbOYmlnA43MGlprJ/L1iEnF+ikel0OkxPT3PJ/uOPPwYAzM/P47XXXuOyqdFo7GiWBR5Se3oJ7IjvKxz8QwNLNBoN/H4/tra2YDAYoFKpcPHiRZZzJE630PrBIpfLodPpIBKJePAPSbjp9XpOhkgkEjgcDqYwxeNxlrkTGp0z3WJRKpXs6FAgQxQy0samUjQNubh//z7zWimjfnzv9rImRIcS9jbQ+lAARw5aKpVCPB7nASokFXn8nekVi1qt5mSRMIChwIYoBlarlX/38vIyc9UJg7ApupckAJXuZ2dnuZIKgPXkqZlyenoabrcb+/v7/F6R1r3wjBZi6UVH3GQy4cKFC3A4HHzO0RCdoaEhDA0NsRTt/fv3YbPZ4Pf7uUpzHAt9brd3NKlVXLp0CZOTk1yNNBqNcLlcGB0dhc1m48ozDRMj6gOZ8PfSOdMNFpFIhKGhIVy9ehXz8/MdEyVnZ2cxPz/PEnakIjU3N4dPPvmE7y+yfrnHZH07yM1mE/F4nB0tarrTaDSo1Wod3f70gm5tbWFrawsejwcul6uDK9gPh6bRaLBgPwDs7+/zS0Gi/UIsFosF4XCYtUydTidvVOGwgm6NDmCiNfj9fnz22Wc8xIA4VbSJhoeHEY/HWTLKaDR2TO3qp4xDMmlEa9DpdAgGgxgZGUG5XGaBc2rwmZubY9mfs2fP8kEmxAL01uxUrVYRjUaZJmE0GnF0dAS1Wo2trS0WxSfFgBs3biCfz8PlcuH8+fP4n//5nw4dTaG8U7dYqAmQotShoSEOkCKRCHZ3d5n0PzQ0hJmZGeY5Dg8Ps8wP0KkY0gsPuVKpIJfL8YFNuqgulwvZbBa7u7tYXl5GLpdDsVjEN7/5TeZKE0+538OJAgNyJoH2RL/p6WlMTU2hUCjgs88+w8rKCsrlMsbGxvDqq6/CYrF0/D5hs2AvOAgLZdTpfRwbG8OVK1cwPj6OTCaDBw8eIBAIcLPvhQsXYLFYUCgUPtf9f/zw7MYou6/VajvGktMEp/39fSwvL0MsFsPpdKLVasFkMkGv13+ugZKw9Bo01Go1lMtlDA8Ps+78+Pg4ZmdnoVAosLKywnQ3aszNZDLMlyaNYSH3vdd1ISynTp3C+Pg4Y3G5XKz4UigUcObMGZ4omM1medIX9RYIz+NesVDgfeXKFc4KjoyMwGq1cuOQ2+3G1NQUKymJRCL4/X5WszjeSNkLFirvPvvssxgdHQXQft4UoLRaLdY9Jk1vhUKB/f19ZLNZpjb1qxpEn9FoNHDt2jWcOXMGQDtTqtFoWOuXHCOa2BePx+Hz+VhVSYiln+YvcuauX7+OixcvAmhX7JRKJdMLyuUyrFYrc8KTySQ/G1qX443I3WJqtVrcQPnCCy/g/PnzANp7mRJoRLmhxvXFxUV8+umnrARFlalHJQO6xUKB3bVr13D69GkAD6f5FQoF6PV6bkaLxWK4efMmPvvsM/7vHpWw6jU5olKpYDKZ8Nxzz8HtdgNo+2NWq5Xfl0QiwVNMP/74Y9y/f5/fp0f5Bb3cyxqNBjabDdevX4fdbgcAVnwhn21nZ4fHbd+/fx/hcBgqlaonnePfZ307yMDDLBgAHl0q5LvRQtEm2t7eRrVaRT6fh0Kh+FwJvx/eCJXygYfqEdlstqNRTJjd2tvbQ6vVQiwWQ7FYZJkSutxpw3WLh+gNwEN9ZwoWiHdMmYpqtYqdnR3U63WetCUczSjMuPSyLqR+AIC1HKvVKneRl0ol5mY1m03OelEELyS6k5PcyyVCTjJhIQF80oYmIX8AXJak/57GnAoPbGGms1cstJ6BQABKpZLXhUT6W60WZ6OEkfvxA7Ifp4Ow0F6LRqMdvPWNjQ0cHBxwU57D4WCO5aOycf28O0JJHMr4GQwG7O7u4sGDBzg4OIBcLkez2YTRaEStVmOllEfh6JcTRzw0+n1arRabm5vY3t5GOByG3W5niUIqfx6/JPpxkOmzlEolZ8HMZjM3CFIzKWVP7XY7CoUCkskk06MIA32PfjmLlDUG2o4gZX3q9TrMZjNeffVVvPjiizAYDPj000+xs7PD/HVhAqLf5yOVSmE2m3Hq1CkAwMzMDBwOBw4ODqDX63Hx4kW8+eabrMN8+/Zt7O/vM7dV6Kz3g0UsFnOC45lnngEAXLlyBQqFAg8ePIBWq8VXvvIVDA0N8fALn8+HeDzOWIRnQa9YJBIJdDodZ92AdtOx3W5HMpmEUqnE2NgYDg4OsLOzg42NDZZ2oxHvx52eXnCIRCKmATkcDs6qj42NcSWTklh7e3uQyWR4++238eDBA77/aK/0uyaEhTLElGxxOBwYHh7m3otEIoGNjQ0YDAb89Kc/xdLSEmu6U7ZY+Pt7eZ+pNwgAU9gIC6lG5PN5rK2twev1Yn19Hf/8z//MI5SFGeR+z1xqqMvlckxXIiw0eVcqlWJ1dRVvv/027t69i5/97GesNCXE0g8OwkKJO6KiAu0eLpPJxJNJFxcXcfPmTaRSKdy9exeNRqOvROJxI9UOkvYTTlHV6XQ8pOvdd9/Ff/3Xf6FYLLLEnZCqdVJ4gBNykI/bF71U1DBisVg4q0AKD0C7/NJv1+GjcDyqHENjhqemplgw/riMWL88lkf9vNBBp3Kpw+HAxYsX2eEgTVkh9n5LxMKfrdVqPH6aOtlJI3NsbAxjY2McMRaLxY41oUxzr5l+obNCmULqsDcYDNzE6XQ6MTs7C6PRiHg8jsPDww7nh9ZDqHTQLxaKQilDSnSQ559/HmNjY6hWq1haWmJ6hbCBpd91ETpOJNVF6gmjo6MoFApQKpX44Q9/CJ1Oh0AggJs3b/KePb7Xej0ohLxfnU4Hp9PJe4OqPdPT0/jBD34AoM2Z++1vf8vP7bj1c2AJlQVIJgsArFYr6/1+9atfxdWrVxGPx/GLX/wCKysrXB4WXiD94KALifShJycnWZVmcnISrVYLFy5cwGuvvQa9Xo+PPvoI7777Lnw+H6/nSR3a5GBQKf/cuXM8/vzy5cuQy+W4ceMGPB4P/H4/j3wlRZ7j69KrUROYQqHgTM/ly5d5OMfIyAhPq4tEIrh16xbu3r3bkbEF+pe9A9r3BmkeU5bf7XazE0RN49vb2/jggw9w+/ZtLC4uIpfLnYi2L30PatATUvWcTidmZma4mnD//n0sLCxgcXEROzs7iEQiKJVKJ3qpAw9pRVT9ANoZ/pmZGUQiEcRiMaysrGBxcRGpVAofffQRc0pPao8AD89pGrRB5+3Q0BBsNhtCoRAWFhZ4EqdcLsfq6irr7dJnCK2fALNWqyEajWJ/f5/3rdFo5CEua2truHv3LlZXVxEMBrny8mXnR694yuUyfD4f7t27x+dcoVCAxWLB9vY2Dg4OsLKygtu3b6NUKnEFiLCc5J4pFArY29vD7du3WYfb6XTC4XAgFArhvffew+LiInw+Hw+SIarYSWVtW612/8/W1hZ+/etfw+l0AmjfQ263G/F4HG+//TZWVla4cZLe336qYV9mn7/RBjawgQ1sYAMb2MAGNrD/j+2JZJDJKEtK2TW5XI6xsTFcu3aNKQc+n6+j7EHNUyfRJUpGmRPSMqWSz+XLl/HCCy+gXC6zdilFIVRG7rUx4VFG5TNqXiQN1a9//es4f/48otEojo6OuCEAeJilpDJIrybMvLZaLZY5crlcyOfzLPf25ptvwu12Y3FxEVtbWx2RGWUWelmT49k84OHEwUgkAqlUypOu9Ho9rly5gldeeQUSiQTvvfceUyBIoYQ+h7hYva6FcDQtABwdHcFut+P555/H+fPnYTAY8MILL3Am+9NPP0W9XudnKPycXjLIj8q6ms1myGQy5HI5jIyMYGpqCt/97ndhMplw7do1RCIRrKyscMOGSqXixgrhUItuImohXYW+A0nq1Ot1zM/Pw+PxwOl0YmxsDMPDw9jZ2cGdO3eQz+dZLorWRJg17fZdFjbV0Z43Go2sZHH16lXMzMxgamqKOac3b97E/fv3+Zw5rqHca6c30WpoYAzQ3itisRhWqxWTk5P42te+BrfbDYvFgoODA9y5cwf7+/uMhSaBEZbj1LPHNRpARN3rAHgqm91ux+zsLOx2O7RaLSqVCpaWlrC5ucnKNQqFgn9euC69ZKKoPN1sPhwsY7PZIBa3R6HTMAafz4ePP/4YH3zwAcLhMNPNFApFBx+7n6wY0WtoSAwArqxoNBqIxWJsb2/j/fffxzvvvMM6zKTdTWe9EEsvY6bVajVKpRK2trY4w08ZdRoCcufOHTx48IDpFUSNoebY43SgfqoemUwGCwsLfMa88MIL2N7exs2bN3FwcIBarYZwOIx6vc69KHR2fBHHtVujn4/H43j//fexs7MDAHj55ZdxeHiIhYUF1lMn+a6jo6MOqUmi/j3qc7vFIhK19dR/+ctfYnd3F0CbjiOXyzl7StUGqiYKKy8KheLEBu0A7XV57733sL29DaCdtSXqZyaTQb1eh8/nY468kPoplMHs1xqNBhKJBH7zm99gaWkJAHgeQCKR4LkVVFE+rlbRyz183OjuSSaTeO+997gnh84akpkTKgMJ7xihv3lS9sQcZCHnDnjYoEfDBIjvKCzhZzKZE918hIMWT3hhDg8Pc8m0WCx+jn+TyWS4VNutPaocIyzDU7eyXC7HxYsXYbfbeUSr1+vtECInQf1eTdgsRTgoSJDJZMhkMtBoNBgdHcWrr74KtVqNbDaLw8NDrK2tdXwPalDotRHg+EQyGjaj1WpZMP/555/H6dOnmeKQz+dxcHAAr9fb0fBEjlMvQUOr1eLLiPZepVJBKBSC0+lkXuW5c+dYSm1nZwfBYBCbm5sIBoNcMqXv0asRFqGjUa1WEQgEMDQ0hMnJSczNzcFutzPt5ebNm7hz5w62traQSCRQq9V4b/e6V4TyjHQg1Wo1xONxDA8P4/Tp08yPoyas//zP/8QHH3wAr9fL5erjB1evWMjJpdIj6VO73W7Mzc2xlm6hUMCHH36In/70p7h37x53OZ9U6U/Is6OegmAwCLvdDr1ez85gpVLBJ598gn/7t3/DRx99hGg02lGGPIlyaK1W4/1KHd73799nxQypVMqymz//+c/x7//+7ywjBvQ26fGLjAZbBAIBbG5uAgBWV1ehVqu5AfaTTz7B/v4+O0FCjvhJlohTqRTzZYmGk81mefrkwsICfvGLX6BcLiORSHQ0cgpHo/droVCIR7PT5e71eqFUKll+dHV1lSURheN4hRJZ/Vqr1dbjLhaLyGazTPfw+/1c0qf3lIaTCIcuUYPfSWGhiZ80LAVo93yQmhTJ/RWLxY6zjLAI+3H6sWaziWw2y44eNYv7/X4cHh6ybjgApoMcp4ueJBaiTVDDK2EJBoPMe5ZKpZ+j4BCWk/KVyCdoNBo81RFoU5ei0WiHFv3xvUG4TmLvkq/WbDZxdHTE/SdSqZR5+uQ/POp9FQbcJ2VPzEEWOsbEpTQYDJBKpbh//z6y2SwUCgXW1tY4K0iO40l/SWF0IZFIuHs0n8/jV7/6Fe7cuYN79+6x4wM8dHp6uVC+6LClC4668ylQ2N3dRS6XQyaTwTvvvNORCel3LY4HKvTPpCtJUmtarZYP8YWFBezs7GB5eZknYwk/q58msOPPt1arMdc3Ho9zw9fy8jKi0SgikQg2Nzext7fX4YD1a7QnhI42XZoKhQIajQYOhwP5fB4rKytYWlrCysoK9vb22Dk5iX1KUTMFTgBY75kqGOl0GtPT0ygUCvj4449x69YtrK6uduyTfh0fahQk6UWgrUgjnI42OTkJlUqFjY0N/Pa3v8Xy8jJ8Pt/nuHH9Gl0earWaR7pWKhXU63W+VJVKJbLZLJaWlnDv3j0cHh7y6OeT5OY1Gg3ORq6trQFoX2J+vx8TExNQKpUol8vwer24d+8eIpEI67aeNK+0Xq8jHo9DIpHg3XffBQDcunULU1NTGBsbA9AevrC3twev18u61Cf1zjwKS6VS4Wf0m9/8BkNDQzAajYjFYizXSI2+5HCc9LrUajWkUilu8AHAesRKpRJ+vx+JRKLDETgJ7djjRtr2xB8FwFrR5FiQc97vWfo4WPL5PHZ2dhgLDU6h/XCSjvDvw0KZ0MPDQwAPq4fC5/AkOKTHjYZrkKISYXmU2syTNnIqa7UaB7HHM/cnkcV/HBMme4TDs4SO7x/i+dD5TcmzR+H4Q6wHmaibXyYSibpGJsw2qlQq1sW02WxQqVQcvQHgUtPxS67Van0uZdkrFsKj0WhgNBohl8thMBh41js5618kIXYcSy84qJuWsupms5kd91AoxFH9l1m/a0LrQKU90qSk5iMAiMVinxNoP2kswmeiUCi4JEnjIimzQZOfft9+7QaL8PlSIEeBFI2lpax3o9FgB4ymG/4+6xYLGT0P0r0l2T863EkWrptS/ePuW2GnN5WfqdpBCg1U+iPaQZcH1mKr1br8OFiEU9lo2iCVXGlEPO0PcvC7scd9PpTJEb4ztD9brRZXYoSOaA8l+sfGQpl+Mtor9HdCitbvPvuJYAEe0mGE/58yTeQA9eMMdoNFuHepOnScRnKSWB7nXT7+98L3tdeAstdzRfi7TiqY7fW8fRI2wPK/D8vTguOL7Ik7yEIuokgkYseDZNBKpdLnpLuOZzxOykE+jkWlUkGpVPJUoeOOz5N0kIVUAyoXU2b3caLGk1yT3/0sgLaTStG9kEbwJLAcX19yOOjvabZ7q9XiLOVJYjnuIAux0PP43WcyRxd4/CElvWI5rnpADhFd9EJe+JNwkL9oTZRKZUd/QI/Vnsd2kIl6chwLOeyUlaS/60Fe77Gd0kdNBRQGEpQVFFKZ/hBY6HcKefX98jW7xSI8IwjL8VJoL8+nGyzAw+dwHCP9edJYvmzfPs570WvnfbdBw5PM/P1vxdLvlM//i1ieBIf392F5WnB8kT1xB/kRn9HR0NTL5X6SWOh/j8sTPAkH+cuwPO4B8qTW5GnE8rvf8UfH0q09zVj+WDjQhYP8pO1pfj4DLE8/lqcFxwDLAMv/VixPC44vsm45yHEAh93DeWhUru4iOhh9kli6zK48CkvfOHrA8sTW5GnE0oU9USxd2tOO5Y+BA3h6sDztzwcYYHnasTwtOIABlgGWR9vTjuVpwfFI6yqDPLCBDWxgAxvYwAY2sIH9X7fBoJCBDWxgAxvYwAY2sIENTGADB3lgAxvYwAY2sIENbGADE9jAQR7YwAY2sIENbGADG9jABDZwkAc2sIENbGADG9jABjYwgXWlYvE0SXI8LVieFhwDLAMs3WD5I8q8xVut1tDTgOVpfj4DLE8/lqcFxwDLAMv/VixPC44vsic2anpgAxvY/y07Pjikx2lHJyLpIxw60K1W9kkaDcsgHfVeB4WcFBa5XM5DZciODxX5Q6yTWCyGSqVivXtaHxoZ+6hBIk8Kl0QigVqt5mmUJDVKkxcftS4njYX0/2UyGWQyGUQiERQKBSqVCorFIj+z40OCnsQ+Eur/00wCrVYLkUiEQqHAI7mPD/Z4EoMb6H2hf5ZIJDAYDB1zEorFYsfvF4lEHaOHTxoL7QfCIvrdJE2FQsETXYUDabqd4NmLSSQSmEwmSKVS3kO5XA6lUomx0ECtJ21isRhWq5WnZtLAqFKp1PF+03N7kqZWq6FSqfj/KxQKVKvVjnc7l8v1/PkDB/n/U/tjOhXH7WnBcnzq1h/i8n5cLMK/f5IX+RdhEeIRTkv7Is3sJ4VLeLEL/xQ6hcfHxD8pLPS7aQIkORvNZhONRoMdseNYnoTzRRe6QqHgyY80jYomc9Ll1e0Uxm6xkCOoVqvRarWg0+n49xOWUqnUMYzocQc19YKFnBsAsFgsEIlEqFarKJfLAIB8Pt8xuYue30niEA5fqlQq0Ov1MBgMANqjwcViMRKJBEQiETs8jzuxsx9rNBrsdGm1WpjNZojFYoRCIQDgPVOr1Z7oZDPg4X5sNBrQarWw2WzQ6XTY2NhApVJhp+dJO6TC+6hSqUCr1WJkZASTk5NYWlpCOp3mvfOHcEjJSqUSO8pTU1Pw+XzIZrOMhf580iYWi1EsFiGRSKDX62Gz2VAul1EqlVAoFADgD+Ick2NerVZ5DyuVSphMJmQyGQDtd7sfO3EH+fil9UUvlfCSJXtSByRF5XTwHI8UhVGsEMtJ4SEcNDaZcBCu4ziOZ6JOcl2Elwbw8ACUyWRoNBrsXAgPdCGWkzyw6dnIZDJIpVI+bORyOer1Our1OuOl309GDshJrY1UKuVnpFQqOzI6dKkRjuNYhBmykzCJRMKOF2WbxGIx5HI55HI5stlsh4MqzGbQRXYSWOj5kIMhlUp5PLvBYEA4HAYAflbCi6tUKp3ofjmORaFQQKvV8gEdDAbRbDZRLBY/Nza+UCjw3u7VhGcEYaHnoVKpGIvD4UA6nUatVkMul0M+n+/IOGWzWd4vvQZewrOC3h+VSgW5XM4ZFZVKBbvdDgCcpYxGo6jX6/yepVIpXqdesQjfCXp3dDodZDIZNBoN5HI5lEoljEYjTCYTX+Lb29uo1+solUoAgHg8jnK5fKJYZDIZFAoFZ0gVCgUMBgN0Oh1GRkbYSV9aWkKz2WRsyWQSxWKx5/0ixEF7hc4R+m4UwFy/fh2FQgF6vR7Ly8vI5/OMI5VKIZfLndi+PR500z6Sy+WQSCQYHR2FVCrFxMQE1tbWEA6H+fkUCgWk0+kTwyL8OwougYfj5bVaLeRyOWw2G1KpFDKZTIdTSpWAk8RCRvcyYVIoFKjX60gkEmi1WlCr1R3/rlwunzgWunvp90ilUl57eper1Srkcjn7WFKpFKVS6UT9FvpTuGcVCgUPeysWi6hUKmg0GrzPAUCr1faVuX0UDqDTZyN/qlwu811JdwT9jEajQTqd7vl39+UgC180iUQCALBarXxIZzIZ9uRlMhkKhQJvPr1ej2q12hFp0GXf66VBJpPJAABDQ0NQqVRQq9UoFotIpVJ8sWWzWX4ZDQYDyuUycrlchzNYq9W6PhCEm4pwmM1mqNVq6HQ6NJtNZDIZvjwikQiXkwwGAwqFAjKZDH8OOR69RO9CLOQQG41GqFQquN1umEwmNBoNDA0NodVqYXNzk50LtVqNXC7HWQ2gHblXKpUOh6yfdTEajVAqlTh16hTm5uagVqvhdDpRLpfx4MEDPgREIhGSySSCwSB/XqVS6Sjp9IKFnAug/YxEIhFMJhNef/11DA8PY2hoCLlcDkdHRwiFQigUCiiXy4hGo/D5fLw3KHLuJbMhXBd6h7RaLcRiMSwWCy5dugSbzYapqSkuEx8eHiKTySAajSIajWJ3d5efST6fRz6fR6VS6dnJIExKpRIymQxmsxnnzp3D6OgopqamYDAY4HA4EI/HkUgk4PV6EQqFsLm5yWuQTCb5Uuv1wD6ORSKRQKPRYHh4GGfPnsXc3BzGx8dht9sRj8eRzWaxubmJYDCIra0tPltisRjS6TSXsnvFIrwUiULgdDpx5swZzM7OYmxsDC6Xi8uwOzs7CIVC2NnZ4UxGIBBALBbrK8NCwZwQi1KpxNDQEMbGxuDxeDA5OYmxsTHOTobDYfj9fni9XmSzWQCA3+/H0dERO0HdGp0rdLZQMCcSiaDVajE8PAyLxYKxsTFMTU0BaD/Her2Ora0t7O3t8eUVCASwt7eHYrHYk4NM7w+9Q8LskkajYed4ZmYG09PTUKlU0Ov1UKlUcDgc2N3d5WdkNpuxs7PDz6gbLISDnk+j0eBAnwJfiUQCo9GI69ev49y5c2g0GjAYDJDL5Tg4OODn4XA4sLa2xrh6XRMyCliFCRsK7J1OJ65cuYJ4PA6LxQK32w3gYVZSKpVieXmZM4TdmjDRQVgowCenhgJ7pVKJ2dlZFItFmM1m6HS6DlqFXq/HvXv3en6HCAutp/COp39H+MRiMQeaBoOBgy6lUgmg7e8Infde8ZAJqzvCRBXQfgZarRYymQxGoxH5fJ6TSwBgt9uRTqf7yrALf99xLMIqGCVLCAv5U7TfXC4X4vF4z1SY407xF1mz2eQAz2QyMVWIqjMOhwPhcLjn6kfPDrJYLIZarWaHZ3h4GED7IWk0GhiNRpRKJWQyGcjlcgBAJBIB0L7ErVYr9vf3IZFIPldS6jYbR1ENlRjHx8cZi16vh16vR6PRQC6Xg1qtBtDOWEgkEiSTSZhMJmxtbTFHDUBHBupxnWSRSMQXlkajwehoe6KhwWCA2WyG1WqF0+mESCSC0WhEsVhEKBRCpVJBNBqFVqvF6uoqlEolH5KlUokPjm6cdcoMCC9yoB1Rud1uzM/P4/nnn4fJZILZbEYoFEI4HMbh4SGOjo4gFotx//59qFQqPqApE/dllYEvwiKTySCRSKBSqTA01O7RUqlUmJqawuuvv46vfvWr0Ol0sFgsiMfjSCaTePDgAYLBIMrlMu7evQulUskBVzqd5mCqW4edIk2VSsUvklKphNPpxKuvvorvf//7UKlUsNlsHLDs7e0hEokgm83i008/hUqlQiKRAAAkEgnG0u2BQIebQqHg90Sj0cBiseCb3/wm3nrrLQCAx+PhoC0cDiMWiyEWi2FpaQkqlQqxWAwAEAqFOFvazUFJ0bjQ+dJqtdDpdLh06RJ+8IMfwG63w+12czahUqkgmUxidHQUa2trUKlUXJql95iy792YMGtCB65er4dEIoHZbMaNGzfw4osv4uLFi5BIJKjVajCZTMjlctBqtfB6vVAqlYxFyNHr9lIVYqF/1uv1EIvFMBgMuHjxIq5du4Zr165BpVKhUqnAarWiWq1Cq9XCYrFArVZzcFepVNBsNiGRSLrOsAizbHSBEI1BqVTC4XBgdnYWzz33HCwWC1qtFlQqFQffOp0OarWa14Uycel0Grlcrqt3mp4LOVm0RuT0yGQy2O12PPvsPhwtfQAAIABJREFUs5iamoJSqeSzsV6vQ6PRQKVS8Z1A2f9EIoF8Pt/VWfcoLEJ+JK3D6dOncePGDRiNRtRqNej1eqjVasZGzvrh4SFKpRLi8ThyuRzTQn6f0feXSCQdaymsZKpUKpjNZnz961/HlStXMDQ0hFQqBYVCgfPnz8NoNPK+CIfDKJfLiEQiyGQyXWUHhe+z8HwUUpQUCgVEIhE8Hg8uXbqEy5cvY3l5GWq1GnNzc7Barfy+ZDIZFItFRCIR5HK5rjLshEUmk33ufCQ8dA5qtVpMTU3hxRdfxNraGhwOB/R6PSdLgPa+zefziEQiKBaLyOfzj7136R16FBYhXgB8b87PzyMej8Nms0Gr1XYE/Y1GA1NTU+wMZjKZx76PhI7vo35GWEmWy+UwmUzweDwol8swmUyw2+3I5/Md+39sbAypVAqtVguZTKan++hRa0lYhIGDTqeDRCKBx+PhIJOoTEqlEm63G9lsFlKptGvH/fg7JDRhUomSA2q1GlevXsX58+fx4YcfMi+ZzkXy/VKpVFf3Uc8OMi2SWq2G2WzG3NwcAODVV1+FzWZDPp9HPB5HKBRCIpFAJpPB2bNnIRaLuTRQr9cRDoc5Ku01W0ovqkKhgMPhwMTEBADg+eefx9jYGKrVKrLZLILBIJLJJAqFAs6cOQO5XI5yucyctEAgwNkVypZ2s8HIiVUoFLDb7fB4PACAc+fO8e+jbA4R7CcmJiCRSFAsFlGr1VCtVuH1etkR7LVsQk6sTCaD1WplLBMTE7h27RqsVisfPKFQCNlsFjqdDqOjo7BYLMjn8/x7hVkIauLoFkuz2YRUKoVer+eI3O1247XXXsP4+DgSiQQODg5gMplQq9UgEolgNpuhVCqRTCYxPT3d4dzU6/WesADgcpBGo4FWqwXQzho999xzuHLlCkqlUkdpnCJ1q9UKkUiEiYkJZDIZ3qdUfegVC5WDNRoNgDZP8sKFC7h27RpfLPF4HKVSiTNsxLcaHh5GMpnkDEYul0Mmk+kaC5XzqCQOtDP8c3Nz+OY3vwmz2Qy9Xo9kMol4PI5mswmz2YxKpQKRSASHw4FoNMrvslarRSaT6SljS2cLlewBcCb7woULGB0dhcFgQCwWQzKZRK1Wg0qlYnqJ2WyGVqvlQ5LKbL1kEQiLSCTiz5PL5dDr9RgZGcHExAQmJydRKpUQi8VQqVS4Ua5Wq8FgMECj0XBgrtFoIBaLe8qs0LsoEomg0+kAtC8ArVbLz+rcuXPQarX8fWlvVSoV6HQ6psgAbQdAoVA8tgN4HAsFDRTYSaVS6HQ66PV6zM3N4dq1a5ifn0etVkOhUEAqlYJer0ez2eQkCr3TarUaWq0WsVisp/OFzihytOji1Gq1cLlcmJ+fx40bN+DxeNgR12g0yOfzUCgUcLvd/D1SqRRMJhOX1B/XKPAR4qB1UqvVMJlMMJlMuHz5Mt58801kMhns7u4y71ehUGBmZoaD3UqlAo/H01OJmLAI14b2Mjlb1ET57W9/G+fOnUMoFGLaTaPRwPnz5xGPxwEAXq8Xp0+f/lzVt1cslMmWSqXQaDTQaDQol8u4evUq3nzzTWSzWVSrVcRiMTQaDTz77LOckPD5fLh69SrW19exu7vbVVab1oB6A4RGmWxygm02G7797W9jZGQEKysr7Pxev34dqVQKABAMBvHqq6/i4OAA6+vryOfzj+0gk9P5ReeSMLMOAKdOncI3vvENLC4uIhwOQyaT4dKlS/z9U6kUvvKVryCdTmN9fZ19isc1wvJle77VaqFarcJoNOJ73/secrkcwuEw4vE4zpw501HJ/MY3voFsNouNjQ2USqWuHOQvS5LSutXrdWi1Wrz++uuwWq2o1WpIJBKYmpriQKhYLOKNN95AJpOB3+9HpVLpykEe6CAPbGADG9jABjawgQ1sYALri4NcrVYhFouh1+tx8eJFAO1SMEUZu7u7WFpaQqlU4saRiYkJzmBEIhHEYrGO0mGvXJF6vY5yuQyVSoXJyUkA7QylTCZDPp/H1tYW7t69i2KxCLVajdOnT+PUqVOw2WwA2pFgKBTqyAD0wrVtNBrc+Xrq1KkOHLlcDtvb2/jtb3/LOGZmZjA3NweTyQSRSAS/398R2RKOXjJxVGa3Wq2MxeFwQCKRIBwO486dO/joo486sMzPz0OtVsNgMHB2lX63XC7vKdtE61Kr1ZiTCLR5SkqlEgcHB9ja2sJnn32GUqkEtVqNU6dOYXZ2lvm4wowMAJZI6iVrSzJGGo0GDocDQPsZORwOVCoV3LlzB4uLi4hGo1AoFHA6nRgbG+PGEaIw0P6gRo1e9i7hl8vlTPcYGxvD5OQkqtUqlpeXsbKygr29PcjlcrhcLrjdbmg0GiiVSv69hEUqlaJYLHa9d4WlccpkE6dVJpMhGo3i9u3bWFlZgVgshtPpZDqVQqHg5jPKEkilUhQKhZ4zpZRtEnJKtVotPB4PjEYjNjc3sbm5iXQ6DavVyvtVKpUyPYqeB50BvXLzhA07QJv2RI2KxL+7ffs2EokElEolNBoN8yaFXFSg/ZyJI94PFvo8qmR4PB44nU6mi8ViMT5HhFlb4nID7X2by+UYSzfcX2GZk7AQTcNqtWJoaAhzc3OcBSTqhMlkQr1eh9Vqhdls5uyoWq3mBjUhD/RxsQibioGHzcc2mw2jo6P49re/jbGxMTQaDRwdHeHo6IjLvh6PBx6Ph98ZrVaLUqmEcrnMtI3HebeFPHXCQZ+pVqvhcDjw0ksv4Y033sC1a9ewtLSE7e1tVo2gvU1nXSQS4QwpUQIe930S8veFVEHKIKtUKng8Hly8eBH/8A//gGq1ip/+9Kdwu92o1WqYm5uD0+mEz+cD0N5niUQC5XIZarUalUrlsXm3wubz45KD9MwMBgPOnTuHf/qnf8Lw8DDef/99NJtNxONxTE9PY35+HkdHRwDazzYUCnEVK5fL9XTePWp/0d/ZbDZ8//vfx/e+9z24XC5MTk7i17/+NVwuFy5dusQ0JalUinK5DJlMBofDwVWkx10X4do8CiPJ7dlsNvzJn/wJfvKTn+DBgwf4l3/5FxiNRly+fJmz/IeHh5BKpajVahgZGUEwGDxRNQnKustkMly8eBH/+I//iHg8jn/913+FXq/H+Pg4V+B9Ph+USiVXhEKh0GNTyn7fOUT/TiKRwGaz4a/+6q9gsVjwySefQK1Wc0UeaK+JSqVCLpeDTqdDOBzm7P/jWF8UC5FIBLVajYsXL2J2dpZB+3w+bG1twefzdUh/BAIBlMtlOJ1Odr5I0w/o5P12a8T/HRsbYw6yVCrlhqqDgwPk83nmTvl8PhSLRbhcLhgMBqYA0OFEXfi94iBuL9DeWBQMbG5uolAooFAooNVqIRAIMA6z2cwHIF1ivTQKCk0ul3c4PbVaDfF4HKlUCg8ePOhYk0AggEKhAI/HA4vFgmKx2HEx9NosSOsik8nYCQMeHlLpdBqbm5vc9V8ul+Hz+ZDJZODxeGC329nZooOQOmd7xUJlbnreVDYXi8WIRCKIx+MIBAKQyWQoFouIxWJwu91wuVy8ZkJ5nX6wiEQiVCqVjmYnvV4PuVyOQqEAn8+Ho6Mj1niMxWJwOp1wuVxMqaB3rFcsdFCXy2Xo9XoA7cuCyvOlUgkrKyvY3d1lJzQa/X/sfddznOd1/rO9976LXfRGgBZJkSJFS7FkucnRxHZiT5ziGV/6wkkmyUwm17nKZf6EtPGMk9ixx7JiO5Ysg0UEQQogWNDrLrZhe+/7u1ifw28hUsF+C1r0b3BmPKZYsM++3/u97ynPeU4cbrcbLpcL2WyWu83p5/TToEFBNgXTVE4jtZXV1VWsrKxwU6Jer+eeg0qlgmQyyc6XsNQopgGMLipaI5LGUiqVaLVa2N7exvr6OuLxONM7XC4XS67F43EuD9M+FqvUQDx0onsIy+YSiQSHh4fY3t5GOBxmjiCVuIkjSRcENZZ+XEf//7UmAJg+QrQY4u+r1WqEQiFu/hV25VNQSReqEEuva0N0FmrYoXUiTG63Gx6PB/l8HhsbG1hdXUU0GuXgmHDQ+0zvtlBl6Lg4KGlEZxx9l0ajAbPZjM985jM4c+YM0uk07t69i0QiAZ1Ox++YQqFg7CSdJWym62VNhM2BZLS+arUa58+fxze+8Q0olUq8//77uHfvHjfmUkBJ/7bRaKBUKrED1sudRI6xUBGJsNBZ9+KLL+IrX/kKJiYmsLS0hLm5OQ5MKpUKGo0GnwXNZhPFYhESiYQD816MHL2j+14ul0OtVuPKlSu4fPkyPve5zyGdTuP27dvMMdZoNKyyAYCb7mu1GkKhUE+Br3BvHcVCaxMIBDA+Po5z587B7XZjbm4Oe3t7UCgU3MtDdCu6S/P5PNbW1npuqPy4vU49Fy6XCyaTCZ/73Oe6GiWdTifa7XYXFqLjLS0t8b1wXBwfZ0TLUSgUuHTpEg4ODlg8wG63IxqNsr/TbreZinfnzh2kUqlj4wD6zCATl9Pv9/MF1Gg0kEgkmAdJB7lGo0Gz2UQ2m4XBYGDekVqt7oosxF4cAJhXSg1u1JhHXFrKRmq1WjSbTWQyGej1euYrUoYU+KiWai8YyNGhh0HZEcrs6XQ6Di7q9TrjMBqN3JVKh3U/2pOUgSuXy9wM4/V6EY/HUalUONNNa9JqtZDL5ZDJZLgpCnisaUgXuxij4KNarfLzHhgYQDab5cuJ/g4dwoVCAfl8HhaLhdeCGgaJ+9rPuggPepKgImemXq9zYyFJQJGkTaPRYBkvWh+xe5Y4pcJGFaPRyJxWeo+oO5ccJOLIl8tllMtldgYp8Op175LjIrw46F2iRtJqtQq1Ws0d5XRZEAc7l8uxI5jL5fqSyTr6HTQaDSQSCUuoJRIJrqyUy2WYTCaW/MlkMkin07znKcsqzDAe14SKJ/RvKUusVquRTqe5qbRQKEAulzOnlNYlkUhw9os4nmJMiIV+BnHRzWYzKpUKdnZ2EIvFuKkpEAhwVSGdTiOTyWBvrzOrJRKJiFYZET4boVQkSXMpFAqsrq5ifX0da2tr0Ol0GBgY4EoaBePr6+sAgM3NTeRyOQ6axWSzgcfnJZ0jdrsder0eOzs7WF1dxb179yCVSmGxWKBSqVAoFBCNRiGTybC5uQkAWFlZ4cZbodTjcbEIs+rE0yYutM1mQyQSwbVr13D37l3o9XpuBC6XyzCbzYzjww8/5KRSo9Hoamg/rgn3PDUuajQa+P1+fPWrX8X09DSuXbuG733ve4hGo6wsRCo9tFdu376NUCiEfD7PmXUxJsz+SaVSmM1mXLhwAd/61rcwOzuLzc1NvPPOO1hbW4NSqWQ+PSnlAMAHH3yAcDjMCRWhROhx1+RJWGw2GwYHB/GNb3wDV69ehUqlwjvvvIP33nsPCoUCBoMBjUYDOzs7fM7dvHkTh4eHyOVyrOTQqwn3L90HWq0WTqcT3/rWt3D58mV4vV7Mz8/j7bff5j6nRqOB/f19vhNv376NYrGIXC6HRCIh+n4kEzY0ut1ufPnLX8a5c+d4kMsPf/hD3luFQgHpdJr358LCAp9/sVhM9P0IdKulqVQqjIyM4MUXX4TdbsfU1BSfMYQ1m81yMPXw4cMuHL36U305yNTcQJkboHPo7u7u4uHDh1ySqdfr0Ol08Hq9cLvdaLfbSKVSkMvl8Hg87NBSeU3MYqpUKjidTgQCAY6scrkcQqEQtra2EAqFkE6nuXvZ5/NxRz45RBaLhZ1asQLTpIyg1+v5ZUkmk9ykQtJpjUaDO709Hg9arRbi8TgKhQI7AwBEZ3iAjmNOji85c7FYjB1ziUSCQqHAXfBOpxMOh4OVEhKJRBfVpJ9yjVar5YwarTGpZVCHaT6fh1qtZpkhyqiTzBpN6wHAl6kYo0YpqVTKGaxoNAqDwcDattTIYjAYYLfbodPp0Gw2WeWDuqf7xULPR9hVnUqlkE6nOdNts9kYG3XcA53Gmb29PWQyGY7QqczdKx5SO6BGUqDzvClYMpvNGBwchNfr5QYolUoFjUaDVCqFra0txONxfrZicQCPNbmFEkYAODAhqgkNfVCr1UxRyWQyiEajiMVifIlRCVYMFtIfFUp3kc4mZQs9Hg+/U6TOQFWPRCKBeDzOZVBq9BGjmy2UpqIzgdao2Wzynm21WnA4HNwc6PP5UC6Xsbq6ymo1QOdcoqqQ2P0r/HekOlKr1VhRpFgs8h5vNpuwWCyw2WzY2trCzs4Ol/BJB1lMxUwoR0VGQXCtVkMqlcLOzk5XExWpHo2NjbFU4vb2NgCwDB9RuI67NsK/S2e/kHZBajz03kajUfj9fpjNZlitVsRiMUQiEXaQI5EIMpkMKxmJWRNh1lbYhOZ2u7G7u4twOIy7d+/i4cOHAMCOWTweR7lc5jWJRCLcKNzru0R/V0hVkslk0Ov1OHv2LC5evIhqtYqVlRUsLi7i5z//OSeNBgcHsbOzg2azid3dXQAdOmQ4HOZqjBgsQHfAqdfrcenSJQQCAWg0Gq6Q/fKXv8Ti4iJUKhU3eI6OjiIYDHZh6UXt5EmYhJQltVqNM2fOwOl0wm63w2azIZvN4ubNm/jVr34FmUwGm82GWCyGoaGhLgUjctb7qcYL14fO2qtXr+Kb3/wmzp49i42NDczPz+N///d/AXQoScFgEH6/nxM10WgU0Wi0Z/WVpxnt24GBAfzVX/0VLl68yCyA+fl5Phs3Njbg9Xo5gRCLxXBwcIB0Ov2RivixPrcf0BKJBIlEAolEgktbpBUr/GIAeHKQ2WxGKpViPUHKZALoKif1as1mE4lEAoeHh5zmF0qUUYd1pVJh/pvZbEYwGOSNLcROk2J6xVKtVlmTlTYuXZYUhUokEpRKJeYNulwurKyssNQRRem0nkLOYS9GmsYknQZ0nMNiscjRstFoRKlUwtDQEDweD8xmMz788EPmDOZyOXZKSUFBjFHZUqPR8AVNmqh+vx9TU1NMX/B6vXA6ndBqtVhYWEAwGEQ+n2d5oZPAAnRoFfSM1Go16vU6JicnYbPZeG+63W6YzWYAwNLSEtbW1vjSor3VT+BAa0uOJvBYhu7SpUswGo2YmJjgEi05YisrK1hbW0MymeSSIwDROqW034T8rWQyCb1ej+npaTidTlYfoWCnWq0iEongzp07CAaDqFQq/Pn9TDCiQEGYKaXueZICJG40ZS2JmrO6usq0JfoeYnVkgW6JOGF1qdFosIQk9RiQA1IqlaBUKnnYAlGqgI6z3kvZXmhPmvRGP4uqYlarFQ6Hgx2zcrkMg8HAmsy5XI6DKbEqI4RB+PlCUyqVyGQyMBgMfM7W63U4HA6YzWYkk0mEw2Ekk0k+l0gxQqyDQUZngjBbSqoVCoUCHo8HuVyOq1KVSgXhcJidUwDMmxRDa3gaDqvVCrlcjkePHmFjYwMAuBK0v7/Psn8HBwfY2dkB0HG+aCDD0Z/fi5GzrlQqIZfLOZEUjUaxu7vLz0Cv13cN4Njf32eswWCQBwL1g0Uo5+Z0OuHxeJgS+fDhQywsLKBUKsFkMnWNA9/e3sbKygr/muh2/TheRIPR6/UYGRnB+Pg4XnvtNdhsNqRSKb4HTSYTqtUqO+Sbm5ucsdzc3GS1o36w0DNSq9UYHR3FxYsXcfnyZVitVpRKJTx69AjxeBw2mw3FYpHPt83NTQ4yd3Z2TgSLMBHg8/lw8eJF/O3f/i2mpqYgl8uRSCSwubnJ0pqlUqlLgx7oPCOqfIjFIgxgbDYbrl69in/4h3/A9PQ0arUa1tbWsLm5yT4N9RSkUim+13d2dnhegqgEiSjkvwGv0WgQCATg8Xg4pZ3P52G329FoNDjioguDssM6nQ7j4+PcMEJOAmV8xGAhLpNareYHnM/nWQje4/Hw5CYStCcZJI/Hw9NhKALqlatCOGQyGZRKZVfUn8lkOOMWCARYQ1bIUwM6slr0MtKhJTajTqU+OnjJycvlctzkNTY21pU5lEgkHO0Jnw3hFGvCsn02m+UMaLFYhM/ng0ajwfDwMBwOB2c8KPgSSlUJs3iAuENa6FTn83n+bqVSifl3g4ODcLlczN+m5klhhuuoTFA/WNrtNo+7JSz0uXSJaDQavlx2d3e5+ZUoH8LP7xXLURzE3yIeJtCRwRsaGoLRaES9XodMJkMoFMLu7i5SqVTXhDiyfjIYRJ0gihYF0a1WCwaDAWNjY7BarahUKjxwZ2VlBeFwGIlEomugjVjHS2hCvjphIdqWz+eDw+FApVKBWq1GIpFAOBzG3t4egsFglx7p05qDejEhl5ey2EDnonc4HHC5XEyBIV54JBLh0jA5HYSl37Whd4j2hUKh4GQINW0LddBjsRjW19cRiUS6hnH0g4X2MCVq6PsbDAYOth0OB3w+HycrdDodwuEwOx9UZRPjHB/FIuTOq1QqeL1eBAIBZLNZ2O12DA4OIh6P8yCrbDaL5eVl5ksCYOe43/I0ccTr9Tq0Wi2Gh4cRCARQqVRgtVphs9lQq9V4PDhRdYQ0pUajcSJYKHlF9+7IyAhMJhNPyCT5UeL4yuVy7O7uolgs4uDggL/HSWJRKBQYHx/H1atXMTs7y9VBEiCgKqdMJkM4HEa9XmdH8CQcUgBdcpYjIyN48803MTo6yvzaQqEAv9/PPQ+tVosFDijhdFJY6H0mjePvfOc7OHv2LPflED/c6XTyHR2LxSCTyTjI7Nc5ps8ns1gs+Mu//EvMzs4iGo3i/fffx3/8x3/AZDJBrVZjZ2cHhUKB50mQg9wvjr4GhRAXplgs8qUql8sRCAS4m5B+n7KmWq0WRqMRAwMDzMcjh4kapahcARzvsicslL2hhW02mzAYDMwLdLvdXI7M5XKoVqtwOBxwOp3IZDIoFot8wFJGqFgsHjtqpkwvieHTpqcLkSYmjYyMcMaHsigkpk8HtRAHfa9eDgXingn5pGSkC+33+zE4OMjZlHQ6jZ2dHXi9XpTLZRwcHDDHS4gFeJxZOy4WamyiwAoAN3tRUGKz2bixMZfLIZVKwel0QiKRMNfqqM6osHGvl3URNgsB4Ka9VCqFgYEBvlBJhxroVEGsVitXGoQC7QC6sj3HNXpGtH8JC3H5PR4P3G43K2hQplej0bBetRDL0yZEHRdHu91mHPQz0+k0c+hpMAU1ARE/mobs0LrS/4txCIX8Y+HzlkgkyGazzE1XKBQol8s8lZOqLXQeCDMQYh0wYVlYuC5SqRSlUgnlchnJZJKz3dTcmkgkeIDB0aERH9e5/n8ZfT9hcE00KArw6e/QwKF4PM66yMLn0S8WojHQO0ROqUajgdls7mqqtNvtXG2kIT9C9RXh+ojFQnxsoBNkkkqNw+Fgh91sNsPv9yMej3OfQ61WQ61W+4gqgxgsVNEgp5SGYp09exZDQ0OcPKE9S5UocrwqlcpHKh5i14QaSensLxQK8Pl8OHfuHAwGA7xeL7xeL1qtFrxeLytTZLNZ7OzsMK8W6C/YJSxUQQU698fExAQuXrwIjUbDDnOtVoPRaITdbmda4vLyMtPOCEs/jhfx0wkLAJ7MqdPpkM/nUSwWkc/nMTAwgMHBQezt7SGfz+PRo0fI5/OMpZ8eIaCzb0knG+g4yrOzs7DZbKzFTU3YLpcLo6OjXME6ODjgxtuTwkJBLGG5dOkSbDYbpFIp9vf38fDhQ2xvb2NsbAwjIyM8VyIej3OPWb9Y6HwlH0ilUuGll15iCt1PfvIT3LhxAzs7O5ienobf78fW1hZarRa/z/R8+nXSRTvItBhLS0t44YUXMDs7CwCcwZ2ZmUEmk0E4HGbBdhq3bDQaefjCxYsXmVvUbre5uaeXL0WdrqQU8corrwAAj0KkhrNMJgOlUgmr1cqZy0ajgXQ6DY1GgwsXLnDEDIAnOh0XCznHxNOirG2z2WSHizjXcrmco59AIIB0Os0R4djYGGfTiSfc65pQFoQysMQRJyeehPmpbGY2m3lTSqVSBINBFsynzUYZZjEcQaGTIcyupNPpjzSgUXltcHAQuVwOSqUS8XicXxgAnN0Wg0VY/iQrlUrY3t5Gs9nE+Pg4gMcBTbvdhsPh4MuEno2wiUEMFuEFSE4x0MlsP3jwgOkmU1NT3PDaaDTYCXE6nRyxC8uovWIhJ/AojnK5jPX1dVQqla7DmRpJiKtNtCH6M8LRT/MiVT+Esl2hUIjfG6IRUDMl8bNpbwmda1oTsVl+YeMtWTKZxM7ODjuHmUyGG2do6AONBhcGP2q1mhspxRg5pMJgqlKpIBqN8qRJs9kMo9GIYrHIlQfCQtUioHM+9oOFeIG05lTCT6VSyGQyPKVOIpEgHo/DbrejXC7zHqvX67x+1IAr9hkpFAoefkFYqMJAn2U2m2GxWNBut3kgx9raGmq1WhcWotuJqcQolUq4XK4uh2dwcJCdGnKO6Z3xeDzY3NzE7u4uU+L6xSHE4vV6ORtrNBoxPj4OhUKBYrGIaDTKvE6HwwGbzYalpSU8ePCA6QSEpdVqiR5JDoDpLXQnSqWdSWxU4aD3Z2hoCDMzMzAajZibm2PFJaLnEZZ+RtjLZDJWYwAeS1I+evQIrVYLGxsb0Ol0GBoawvT0NEwmE9bX15FKpRCPxzkxSFiq1apoLEQfoPuZKAz3799nxRWaBhcIBCCRSPCzn/0M2WwWiUSiy5Fst9t9j5kmFR4hlg8++ACrq6usWuF0OjE7Owu73Y6f/OQnKJVKSKVSH5FjFatiBICbRYHO3snlcrh27Ro2NjaQzWbh9/tRq9UwNjaGwcFBzM3NodlssmKRkOsuRq6XrC8OMjlhBwcHePToEYDHIwaTySQrV9hsNjgcDm66ouyqz+eDSqXCe++9BwA8qUvsxCuZTIZKpcINB3q9np1P0uQbHh7mRhHiygHgg+OnP/0pgO6sU69Gs9qJS2YwGKBWq5FMJlmebGJiAiaTCSaTCVqtlrudHQ4H8vk83n33XQA4dvb6SUbZWrPZzI4UjcNiXWBQAAAgAElEQVRtNBqQy+VwuVyYmJhgp8doNMLhcPClEo/Hu6YLii1XU6nPbDazw03cpWq1yvqoXq+XVT6oMUKpVGJ/fx97e3vM5ewHC6l20CQt+nkUnA0ODvKs+3A4zPJR09PTcLvd2N/fx8HBAV8Y/RxKxJMUZofpRZfL5djf34fX6+VqC2UHZ2Zm4PP52Bmhsr9YrhVlHCmrD4CVPmKxGPb29rCxsQGpVIpsNgu32w2dTofR0VGoVCqk02msrq7yv+3ncKQ1ETrrCoUClUoF6XQa4XAYDx48YO71yMgI/H4/vF4vLl++zHrjVDLv54AkLMJmVaJjUWc0qdMoFAr4/X7Mzs7C4/Hg05/+NJfMhY5+P1lSagKk9SVspOwRjUZRr9ehVqsxMzODy5cvw2634+LFi9je3uZybL/rQlMxLRYL7z2DwcDBbj6fRzweZ8UT6rcwm804d+4cHjx4gGg02qUT3Y8qjdFohNPp5O9ksVjgdruhVqs5m0zB7cjICKxWK9rtNsbGxrC6usocZQAsISYGh8lkgt/v539Pk101Gg3zsmu1GqLRKM6ePcv8bNLyPjw87KKg9bMmBoOB71j6Pa/XC6BToZNKpchkMqhUKvj0pz8Nj8eD5eVlOBwOGI1GlpY8CSw0tpkCB0qG0PlPAVK1WsWbb74Jq9XKfTkU4NLz6SebTQ4ljYAHwFN0/X4/j9KmBMyVK1egVqvh9XqZKpRMJj8iJyjGKAlAI8+Bzp24u7uL4eFh7O/vo1gswuv1chWmVCrB4/EwnSmfz3cFVP0YNStSxSGfz2NnZwezs7O4d+8eEokEtFot34+1Wg0OhwPlchkSiaSrAt8v/YWUggCw0ky1WsX6+jqfvzRRtVarwWQy8fRmolARjk8kgwx0DthsNosHDx5wmT4QCDDtgl5CkoqKRqM4PDzEwMAAXnjhBS5lk4by9evXRb+E9ILt7+9z6cTj8cBoNLI8FEXxJMtUKpVgNpsxNTUFt9sNhULBI5lXV1dFNcfRCGSSDiJslN0gtQSiFhwcHHAQMTMzwxqUFMXF43HRTXqk+iAMOohXqtfrkUgkoFAoEIlEkM1meVyy2+3Gq6++ys9MGBX200RJXCp6iarVKlNNUqkUYrEYwuEw5HI52u02VCoVZmZm8Prrr0MqlbIkVL9Y6HAWSsWVy2WoVCrmm0UiESwsLLAygdPpxJUrV3Du3DlEIhEsLS11BS+9SEEdxUL7kox4i3q9Hs1mE+FwGG+//Tby+Tw8Hg+mp6dx6dIlnDt3Duvr67h7924Xr1RM1CykZQjHwSoUCm7eWVlZwfvvv49KpYKZmRm8+eabmJiYgNvtxo0bN7qGcdDhL8YJo9K/kO5BP486zHd3d3Hv3j20Wi2EQiF885vfhN1u52CBOrnp34p9h4jOQBq/wGO1BmrsjMfj2NnZ4SDn1Vdf5dHbpDBCTmQ/GQ3S/yT1EAC8ZymYocvEarVienoag4OD0Gg02NrawsHBAZ+DhEXseUsZWrvd/hGMVFEBOnvI7/cjEAhgcHAQ7XYbt27dYm72UWUQMaZWq+HxeDA+Pt4lTUmUMFKlIHqby+VitQ+qPGYyGb5UhUFiL0byaRcuXOA7iIYNEU2MsoEDAwOsdORwOLCyssL0E3q2pGwjZt+SwtTVq1dZ1Wl/fx9arRYSiQThcJiHMg0NDfG8AqoqkAIB3UNUHRGDhTLZn/3sZ3kw16NHjzjQIyfd7XZDqVRyMqder+Pg4ADhcBi5XK5rdsLRfofjGilHvfHGG0zn++CDD5i+RdSoQCDAZ4vFYoFUKuVzRYwawpOMqJ/nz5/n77a4uAig06tDUo1nzpyBRCLBzs4OJ9OooV+Yve6XdmI0GjE2NsYON1XIqBmwVqvh8uXLrFbh8Xig0+k4gBEmZ/rJ7ut0Om4IB8CyjABw//59jIyM4MKFC9Dr9QiFQnC5XHA6nahWq1hbW+t6Nn2rZ/T1r9HZxPv7+5x5PXPmDNxuN3NOqTwdjUaxsbGBUCiE8+fP4+/+7u/g9/tRLBbh8XgAgBvFxBil9OPxOGcZh4eHkUql2CEjhyoSiWB1dRWhUAgvv/wy/vqv/xperxfFYhF+vx/AY6K6WBzCrB5dFkRpSKVSUKvViMViWFxcRCwWwxtvvIG/+Iu/YG4aHWq7u7uiHzJhEQ6PIOm3arXKerGkm7ixsYF8Po+vf/3rOHfuHJxOJ2tLA52sg9iDgTirQk4Q8a/oQr179y7a7TZL4bXbbXznO9/BpUuX4PP5uKQPoK8SW7vd/kjGSiKRQKfTwWQyQSKR4NatW5wllkgksFgsuHDhAjweDwYHB7uGyvSTiSMsdCnS71ksFg4g5+bm8PDhQ9RqNZ72+Ad/8AcYHBzkgE4oE9QPFrrMgc7zITqSVCrFjRs3sLGxAYlEws2ko6OjUCqVcDgcXc/jSVrGvRhlEYQ0CZPJxNJupMqgVCpZW3xoaIifi3Cf0nMSK61GDUR0JlDwYjQa0Ww2EYlEkEqlWA6PJslR85NwfxDlQgwW4tgKqSTkqJOkGjk2ZrOZp5aSzGOxWOz6XHr3xGDRaDSwWq1M9wE6Aa9KpWJlHGo0npycxNTUFNrtNra2trjDXViho8xer81X1GxFfS/kmJKykkaj4UYi2t8OhwPJZJIVJUheVMjNpiEwvegfm81mnv5JFzxl1Wj/0EAonU4HuVyO5eVlPHz4kLmtQHf1hbJlvTiDhOXs2bPM5wU66hx6vZ6zbfT8iPL4ox/9CFtbW9jb22OFE6pqtVotqNVqUVjo7HS73Tyc5eDggCmHRL8kHIVCAT/4wQ9w7949hEIhpkcJK2y9Ph/CYrPZcOnSJYyMjPD7bDAY4HK5MDIyAoPBwP8j/feFhQWEQiHm/AqpDESrpDXqFcvMzAwGBwe5WfWoo0pnyt7eHkwmE+9VGrwjpDII6YO9vkN2ux1jY2MYGBjgfUhB8OTkJFKpFE8HViqVmJycZGdW2LTcT8VbKpXC5XJhYGAAbre7SyjBbrfD4/HA4/FgbGwMLpcLCoUCk5OTPN2R7mq6U8XiEFrfDnKr1WLZK6AT+VCpnrKkFOW02x11hJWVFbzzzjus2kCRnM1m47KcmC9GmUjCUi6XsbKyAqvVylgo+mu1WtBqtVhfX8fq6iqGh4f5JQE6Lw012fQaqRK3ll5o6nqlwCEej+O//uu/mG5iMBhYbsfj8XDzHAAsLy+zcoIYjquQY00Wi8Wg0WiQy+Wwu7uLn/3sZ1zmMpvN2N/fRy6Xg1arRSAQ4OdD8kdiG69ouAZhId6zVqtFo9HA9vY2axsCnZeCmmkcDgfcbjdrhBIvW8x4csogk3IF0CnJ2u12HsVN2r6kwCKTyZiO4XA4uPkT6JZ06hULPSPhdDSbzYbR0VEMDw/zYUhZFuCxk0U0EyGXmt6zXjPalMWm5wGA9yI5esTVpL87ODgItVrNsjpC50YsPYmwtFqd0ciUWSGJMJrsR4FWs9mEw+FgR500s4VTH4UHd69GmSoqgQOdfUmUi3Q6zQGCx+PByy+/DIvFglKphI2NDe5CF0q0icVCzrbH4+F3kqaAkuay2WzG5OQkrl69ivPnz6NarSIcDmNjY4P13oVDLMRiIXnOyclJxkIOqUQiwd7eHnQ6HS5fvoyrV6/C5XJhc3MTS0tL2NjY4KEChEVsZp0cp1qthuHhYQ4YaRy4VCrlIS2klEOT8xYXF5nT2Gw2u6Ytin2PW60WZmZmMDU1BQDw+/1Mi6FpbMQHp8z3f//3f/PzofeacAidnl6wEA9+dnaWeyrGxsZgsVggk8mQTCYRj8eZmmSxWJDNZvHDH/4Q4XCYVQCElQ9hA2wvWCi4PXPmDEu6DQ8P8/tMky+np6dZJef69euYn59nfjLw2AElLGLWhbCMjY0hEAgAACYmJuBwOKDVavkdm5qaQq1WQzgcxg9+8APcunULyWSSZRqF+0PYGN0LFlINCQQCnFknh9nlcuHy5cuss0760Hfu3EE+n+f74KgzKMZ3Ir/MZDJ1zZF47bXXMDY2huHhYZw9e5Y5v2tra7h27Rpu3brFco39UB7JWq0WU6V8Ph8zCyjA9vl8ePHFF5HL5WC327G1tYW5uTncv3+fdcV7EXc4jvXtIAPdBH7qqCdBduGlSaVTGgxRrVZRr9exsLAAoFuySKwRfxMAN8OVSiW+3GkzUdm1WCzC7XZz+X9ubg5A52Agx0PMpqPRnISDom8qZdEhSBmqWq0Gj8fDen5LS0sAwIRzwivWMSX8JCBOL3skEmHHjyTqWq0WTCYTK2rE43EAj5vthOV4MVjoGVODHuGh4SR0kFksFs4I0ktIB7bwgBTrsAsvaCovUhNJMplEOp3mMj9x1MvlMnZ3d7tk/I4OcBBzQAmpDSSv43A4kE6neUobYTl37hxarRaCwSCP8RV+Zj88cWp2AjqOIJX3Njc3uXFHo9FgaGgIQ0NDKBaLWFxcxO7ubpeGKtBft7lMJuPhJADg8/l4gAENDpDJZPD7/bh69SoMBgNSqRQ3Nx4NbMViETZejY6OAuhMgJTL5djb20O1WoXJZILb7cYbb7yBCxcuoNFoYGVlBXfv3v3IsIl+pLsoq+71ejmQHx8fR7vdEcjXarXw+/34yle+grGxMbTbbbz//vu4fv067t+/z/tMqKrTDxaFQgGbzYaxsTEAncvdYDAgGAzC5/NhZGQEL7/8MpRKJfL5PN5//33Mzc1ha2uLKS9HAwexWMgog0yTtmKxGMbGxqDT6WAwGBCPx/Ho0SMsLi7i5s2bCAaDXFkUZm57LeELaUHCO2x0dBSBQIA1fTUaDXZ2drC1tYWFhQVEo1EsLCxwZeioKo+YxAhhEUpkEhbiadvtdoyMjCAWi6Fer+PBgwdYWFjA5uYm3+HCIJPWuNfAgdaE7hjCQokXSgAoFAqu9v7bv/0b3nnnHaZakEIOffbR/+8FS61WY+efnpPb7ebR6ETxoEz2d7/7Xdy+fZuTE8T3F+5TMe8QNbxnMhmYTCau0iqVSubqO51O7O3t4ebNm/jpT3+Kf/7nf2buMdGqjp5rYjO35XIZpVIJw8PDTLGgyY4mkwlKpRJra2v4l3/5F/z617/G22+/zdKXYn2TJ+Eg/2B2dpZ/HtH87HY7Wq0W7t+/j3/6p3/C+vo6VlZWOLEjfAdPyk7EQRaa8LKnWfBCwKSeQNPjDg8POWNFUlb9DF4Auh034i4CjykWAFjj0OPxwOfzcfe18KHQgot58EejTDpwm80mT2UDOi/c4OAgvvjFL3JDITlmhJkae/qhNwijTOJrl0oluN1uHBwcdDWivfXWW3A6nTg4OEAkEukqPdLaic080RrQryl73Gw2ce7cOdTrdR5ucOnSJbzyyis80jcWi3VhoctITEMYrYPweTscDi5Jnz9/nhtIhoeH8bnPfQ4TExMsgSQcyCFUcBDbYFqr1TgjTbQGKp1PTEyw3N6XvvQlzM7OQiKRYHl5Gfv7+12XsnB/i8FCkyYBcKmrXq/D7XajUqnA4XDg3Llz+Pa3vw2LxYJIJIJ3332XO6qFvHtaG7ENaVKplDOCY2NjPJjDYDDA7/fDZDLhi1/8Is6ePYtKpYKlpSXMzc1xYEzWb1OPTqdjCgfQyWgAnUz/xMQENBoNLl++jJGREbRaLdy5cwc/+tGPMD8/z1gIQz9YFAoFd5lT9mt6ehpKpZL1hrVaLfcyhEIhfPDBB/jFL37BmsNHA0uxplarOYC12WwAOgHVwMAAAoEA9Ho9O0UrKysIBoOYm5vD8vIyy3gKz2axASbJ3LVaLa5eAh1HeWBgADabDc1mEw8ePMDdu3dx48YNVCoV1qim5MmTytO9Ymk0Gnxm0JmkVquh0Wg44M5ms5ifn8fCwgKq1SoODw+5D+VJeuZiAjuJRMKVg2g0ygEvqfLEYjEsLS0hlUohFArBbDbj0aNHeO+99/g9Pvq59N9isBSLRWxtbWFpaYkTHJQ9p4CXElR6vR7/+q//irW1NT5jj2Zo+0kAFItFbGxs4L333uMgs1KpwOv1olKpsMxbKBTC3t4eFhYWmG5CGVqhiX2HJBIJN+T98pe/5AwyNeEBHcd9Y2MDP//5z1nbXSiN2A+d7qgVCgVsbGzgnXfeYWedKvD039vb25ibm+OKzUloYx+1VCrFVXOiUxJF12Kx4MGDB7h37x5u377N1RZ6d08SB1l/6dpTO7VTO7VTO7VTO7VTO7X/z+zEM8hk5NVTJy6VKoeGhjA1NQWXy8XzuokU7na7sbe3Jzr7RXY0sqJMNmmDUnPKmTNn8OUvf5kHdNy6dYsbS2hgiZA/2OvnC/+fonqpVIpAIIBEIsFSPF//+tfxR3/0Ryw3c+/ePV4TomaI4VEebUIDHk+ayufzXK6n6NXtduOP//iP8Xu/93uIx+PY2NhALBbr4qH1EzEfzdAQj7dUKsFqteKll15CIBBAPp/H5OQkXnvtNQwNDWF+fh7Ly8vM1RWakH97XBNmW2lNSWpHqVTC6XTihRdewMzMDCqVCl544QVMT09DJpPh7bffxqNHj7pKSvRrMfQgIRbKmBBH0WKxYHh4GKOjo3jrrbeg0WgwPj6ORqOBUCiEd999F8lksuu5CH/dy76ldSQVFuDx4B6bzYazZ8+i2WxidHSUJZKWl5exuLiIhw8fsuKFUCKOsk69vj+0nqTKAHQ3kpBs4tDQEFQqFVOjbty4gWw2y82f9Gz7yZoKB9LQ3iO5wqGhIZYLdLlcaDab2NzcxK9+9St8+OGHTNOSy+X8Dj3pPTiu0foKFTqouclqtfKzLxQKODw8xK9//WssLS2xVCH9ufAdEpt5kUqlSKfT2N7e5sbmcDjMjTt6vR65XA6//OUvce3aNRweHmJra4v3Kz2To5UGMfSkRqPB8nXEEyc1IGosvnbtGq5du4bt7W1eg1QqxfKaR2lavWIhLvTW1hbefvtt3L9/H0Anw7+8vIwPP/wQ2WwWJpMJ9+/fx8HBAffLkLIP3XtHqUG9WrvdRqlUwtbWFv7zP/+TqzDj4+PQ6XRYW1vD8vIyP4ehoSG8++67ODg4YLlCqlwezSKLwUKT+b7//e/D5/MBAFepaE7C5OQk8vk8crkc7t27x/rPVJU6eoaI2bP03MPhMH784x9zZh14PG/A7/fDbrfj4cOHiMfjzAsHuhtJhf9OLBZS1Hrvvfe4F0ZY6bVYLKjX6zxaW8iRBx43cPZbEWq32zy999q1a12qVcBjtZtKpcL0FGFjINC5K45S7MTgoCFctVqtq0H7V7/6Feshk5KIECP9fz99FU+yZ+IgUxldIpGwc0rjNqm0QrSKXC6HYDAIALh9+zaXeMQ4yEc3K13OxFEhrhPxr6gpi0ov4XCYNXq3t7dZ1F6MCcsxrVZHTJy64fP5PJxOJ8bHxzEzMwOv18ti5Ts7O11k80QiwfjFYBCqCQCP9X6pcaRWq+H111/H9PQ07HY7VCoVyuUyQqEQFhcXubEEAHfBiyntCLHQd6E1p9KsxWLB5z//edjtdrTbbRweHiKdTmNtbQ137tzhMhMA5oSJxUIOHL2ENDnQYDDwVCWPxwO5XM6OQCaTwdzcHBYXF7tUSvp5IcmxBB7z8zKZDILBICsR0PhVoCO9Q2oS169f5y5v4ShmMdZsNvnApXePRPq9Xi9eeOEFqFQqlv1ZWFjA97//fSwtLXEHPvH8gf7K9/T5+Xyex8uq1WrYbDZ4vV7mJVO59MaNG/jxj3+MlZUVpFIpVm05CSmmarWKfD6PaDSK1dVVAJ01Jq1jvV6PbDaL7e1t3LlzB3Nzc1hdXcX+/j43E/bDxRZaPp9HMBhEu93ukt+yWq3MdU4mk1hfX2deeLlcZsqWGD7r0yyVSvHa0DNfWFiAxWKBTqdDOp3Go0ePEIlEkE6n+ewQTqs7KSy5XI458nRx3rhxg/tcotEoIpEIS01S0uOoQ9yvFYtF5vDS8Kvbt2/zECgKoskBoDK1sIfnJIwcZNKN39/fB9CRyMrlciw9SHb79m3m7QP9T2Q7ioWk9EqlEgcyOp0O2WyWNfZv377NgZ8wgKO+nZPCQpPnqtUq3/XkeFFjrUql4sDqKNe4X/qnEAv5BbFYjGkM1L9VrVaZH/+kHhMAXe9Sv1gAsMNOzeKks0zP40n8a/o13T/94qCzkmZXAGDpVaIgfVxQcpLOMQBIeuR79XSKUCctTbQjeazBwUG43W5otVpsbm5ifn4eAJjvelQGqd1uf8QL6gULcd1sNhsGBwehUCjg8/nQbDbhdrthsViwtbWFnZ0dvgTpxQVw9CCVHPnZx8ZBU7CGh4fx8ssvQ6VSsVA8jXf+n//5H8TjcT7UnjYBrNc1ETqS1BhoNBrxqU99Cn/4h38IvV6PSqWCg4MDaLVabG9v4xe/+AVPyQGevvl6wSLMoFFErtPp4PP58Oqrr+JP/uRPoNPpsL+/j/n5eeTzeaysrODOnTuo1+uc3Xza5dorFoqWqSnQ6/XiU5/6FC5cuICLFy+iXq/j9u3bmJub4wEhqVTqI5m4frEIR/bqdDoEAgFMTEzg3Llz8Hq9MJvNODg4wNLSEpaWlrC9vY1sNvuRSP64WJ6Eg6o8dFgbjUbMzMxgdnYWgUAA1WoVxWIRe3t72Nvbw/b2NkshUUB8jPPkbrvdvngcLBqNhgNp0ks/c+YMV3xisRii0SjLFGaz2Z6c0eM+H4lEAr1ezxeHRqOBz+fjzFw4HGYNW3LAep3c1wsW6sQHOuorVKVTKBRIp9M8ApvOURGa2MfetxT0A+hSygE6DiM5omL5tL1gOapV/Zu/C6lUytktsSo8T8LycTiEyjb0mSQ/KMyanwSOXrBQZlzs8+gXCxllYoX80X4dc7H3kFBXWZjUetZY6HsL72Z6l4W//9t4Rk+S5RRiOSn7v94h2iPCd4Mc85O0J63Jk+yZOsjAYwH4VqvFXaI0dlmpVOLg4ICjSsroHc109Osg/+bv84hW6sSnGfDkHJIm8G8+kzfNkYhJtINMG16j0bDwukaj4QlmdPEXCoWu6PBJjofYNTlK/6ASMTXpUcOLVCpFIpHo0lB+monFIuw8BdClQ0zfmSQCM5nMsUo4YgMHKoULsajVao5aiXpADsdxDlCxBzY5y3RYaLXaruwbZZwIw3He4ePuWyEOcn7oPSCJNeo0piaJHg/QYznIR7FQsC1s/j3aXPUsHUEhFqKO0blG++No1ei3gYX+W2iESewF20/wLfxvYfmzj1J038mRp/zcvrGIuYOEn/tJrclJ2imWUyz9YHlecDzNnrmDrFAoung1JLIPgCdvCS+TJ8mFnNQDJqcU6FwiVDKmUsfRaOk4jqkYHCSlRs63UqmEQqHgctRxLvp+HGThdyJN3d/8TJ4+Rc7pcaL6Z4WFJN4Iy0k7pUI7uu+ODlAQZj+O27nbq9Mj/CyhcyEcLvEkrCftINPPO+pcHJUVEpkB68lBfhoWYaf9b8MRfNJZIHSY6V3+pLE85Wd/YlhoTX4b2dLjOJyUURapNnOil7tYaayTXpNe/t5vA4tYO8Xyu4flecHxNHvmDvJTfg4T70/a0RCD5UmyNsfFcpI4erlEnvWa/OYzPnEshOd5wdKLPc9YPikc6MFBftb2PD+fUyzPP5bnBccpllMsv6tYnhccT7Nem/QSAPZ6h9NtVJI8pg0+ayw9ZBOehOXEcPQQrDzzNenBnikWoCc8zxxLD/a8Y/kkcADPD5bn/fkAp1iedyzPCw7gFMsplifb847lecHxROspg3xqp3Zqp3Zqp3Zqp3Zqp/b/u50OCjm1Uzu1Uzu1Uzu1Uzu1UxPYqYN8aqd2aqd2aqd2aqd2aqcmsFMH+dRO7dRO7dRO7dRO7dROTWA9Nek9Tx2HzwuW5wXHKZZTLL1g+QRVLBLtdtvxPGB5np/PKZbnH8vzguMUyymW31UszwuOp9mJj5o+Kf26k/g5z1pL73cNB/B8Yfldsk9y3U5qwMBJ4xCp49p3x/JRacZepRpP0mgqJUlWklyjUPv9t2G0BiqVChKJhFWCJBIJ67sLtbWfNRa5XA6lUgm1Ws3DXGq1Go/NFU5QI3sWuCS/mTwol8t5QqRKpUKhUECxWOxSMXqWWIRT/pRKJZRKJRwOB4rFIrLZLBqNBmq12kfW5KTGcQuN9qgQl8PhgFwuR7lcRq1WQ6FQAICuqX8nOYJaiEX4a6lUCrvdDslvhvFIpVIcHh6iXq93YTnpkcJCLLT+NH1XIpikGYlEeEIk2UlPeSMsR89ah8MBqVQKnU4HpVKJVCrVNQpaIpGcyMjn/wuLRCKB1WrlWQU08KtYLHZhOamx3B9nSqWS3yupVAqtVotGo9G1P/L5vOiff+IOslDYv59D5iQOqJPCchI4jornf5L2PGEBetddfpYY6NdCh0I4EAL47TgYQPdwkqN7+bflXBAOOgSFe/njRrOeNB76HJlMBqlUypcnaYfT2Fr6tRDDs8JCTqBWq4VSqQQA1Go1PqCbzSZqtRoAdA3AOUk85OwoFApoNBrYbDbo9XpIJBJUKhWUy2UegnTU6TmuDr0YLFqtFk6nExaLBSaTCZVKBYlEAsViEbVaDZlMhp3mZ4mFplLqdDrodDoMDQ3BYDAgFoshl8uhUqkgFotBKpXypEp6dieNhazZbMJms2F8fBytVgvFYhGlUgnBYJD/G8BHhmidJB4ymqCq1+vh9/thNpvRaDRw//59FAoFdi6eheN11OjdaDabGB4exszMDAwGA27evMkj5QF0TZl91ngqlQrsdjvOnDmDqakpLC4uYmNjA9lsFgBQLpefOQ7aP4VCAQqFAk6nE6+++ioikQju37+PZDIJAM/MIT36XkqlUpTLZUgkEqjVaoyPj8NgMCAUCiGRSAAAP6tnbc1ms+v8czqdMBgM/PkURIi1E3eQKaMilUq7PPmjzoVwWhjZSR2QR6NjGi9N0Y1whLTw8ISSYmcAACAASURBVDpph+Oog0Hz52k8r0wm68qmPGW09Ylk0snIqVAqlZBKpYyFsmC04QiL8IA+iQzdUUeUsk000bD9m2mL1WoVtVqtywkSYjmJC1X47CkKlclk0Gg0PMFPpVKxcyFcE+EFetzR08fFQtMMlUolbDYbtFotv1e1Wg3hcBgymYz3NI05Bvq/VGm9CYdKpYJWq2XHi/6/VqthZWUFMpkMuVwOpVKp67MrlUpXhlfMsxJikcvlPBbdbrfD6XTC5/PBbDYDAB48eACZTIZQKIR0Oo1SqcTPiH7dDxbaH4RFr9fDYrHA5/PB7/fD4/HwZM69vT3U63VsbGwgHo+zUwh0Lg7h8xJjcrm869d2ux0+nw9erxdDQ0Pw+XxotVqw2WxIp9PIZrN48OABdnZ2OHMKdC6Pfh2fo1isViucTic8Hg9GR0fh9/sBABaLBa1WC8lkEpubm1hZWUGlUkEqlQIAxOPxvh0fIRaJRAKtVgu9Xg+VSgWr1QqXy4WZmRn4fD643W4Eg0Hs7OxgdXUVxWIR0WgUABCLxfpyfIR7BeiuMlBwZ7fboVQqce7cOeRyOcjlcuRyOWxubmJvr1NkOTg46DtTSneM0OgdoPdLp9NBq9VidnYWLpcLNpsNk5OTmJ+fx/7+PoDOmlCAdRJYnhTwA4/H24+Pj8PpdKJcLsPv90MulyMSiQDo7Ft6n8Ta05IPrVaL/0wul0Mmk0GpVKLdbiMUCkEikcBut/NzaTabfb9DR+9EoclkMvZhAHSdHVqtFkajkZ9LvV7v22F/UqIIAO8Xej7NZhP1eh2tVgt2ux1Go5F/D+isSz9O8sclrOj36O80m03I5XJYLBb4/X5YLBZkMhkAgEaj4fdajPXlIBNIiUQClUoFAAgEAtDpdFAoFIhGo+y9y2QyFItFHvNpMplQLBY5EgHAjoeYy0OIRaPRMBaNRgOz2cwvOG24bDaLdruNer0Ok8mEfD6PQqHQtehiLjLCIJVKGYfX64VOp8P4+DhqtRqKxSI7y5FIBIVCAdVqFUajkS80MnKC+lkT2tQA4HK5oFarMT09DbfbDaVSCbPZjHa7jY2NDWxvb6NYLEKtVuPw8BCJRII/mzJRYhwwYXaJsDidTsjlcoyNjWF6ehoejwdutxvFYhGbm5vY2tpCNptFq9VCLBZDJBLhz6ZSYD9YhGXXwcGOdrjdbsfFixfZAVOpVIjH43jw4AFHo5FIBPv7++yAFYvFY4/lfhIWABwBA4Db7YZKpcLg4CC+/vWvw2QywWazod1uo1arYWNjA9FoFLu7uwiFQtja2uKDibJiYvcuZf+AjlNjMBgwMjKCL3zhC9Dr9bBarTAYDFAoFEgkEjg8PMT9+/exvb2N1dVVvizS6TQqlUpfe5dK9ABgMplgMBjg8Xjw0ksvYXR0FD6fD3a7HXK5HOl0Gvl8HktLS1hdXcX9+/c5o5JMJrn8J8ZBpvONssRGoxFmsxkulwtnzpzBiy++iIGBAdhsNqjVamSzWeTzeSwvL2N9fR2Li4t8DkqlUmSzWX5eYrCo1eouLE6nE2fOnMHZs2cxMzMDj8fD5eFCoYBMJoOxsTGsrKxgaWmJszwSiYTL172a8Kyly5v2sNvtxtTUFCYnJzE4OMiBVbFYRLFYxNDQEAYGBvDgwQN+vq1WC9FoVJRDSFjUajW/T5QFbrfbMBqNMJlMGB4exssvv4yRkRHUajV+jna7Haurq/zz2u02wuFwz+tCOOjZAJ2Alc4Fqn7odDqcPXsWV65cgUwmQyQSgVarhcViQalUYien2Wxib2+vrzWhQB8Av4uUWSc8EokEk5OT+MIXvoB0Os1Zd5PJBIvFwj+TzpV+sNB5TecTJYqEzrNer8drr72GYDCIWq2GUqkEpVLJZ7VCoegKgMXgEX4e7RPh2tDfU6lUmJychMlkgtVqRTAY5MQJ0LnD+sUiTAQI/R/6M3KQZTIZ7HY7JiYmEAgEcP36ddRqNd5vTqcThUJBdILkaKXjST+HnqNEIoHJZML4+Dheeukl7O/vo9Vq8R02MjKCeDze17o8DcfRCjhljr/2ta/BbDYjHo/z8/H7/bh3757oQFO0gyyVSmE0GqFWq6FWqzE8PAzg8eWu0WhQLBaRy+WgUChQr9dRKpWg1WoRj8dht9uxvLzcxVsRctR6xaLT6aDRaKDX6zEyMgIAcDgc0Ol0cDgccDgcqFar0Ol0SKVSSKfTKJfLiEQiMJlMWFxcRDab5SxGuVzu2VmXSqVQq9XslAcCAQCdyz0QCODixYuYmppCo9GAwWDA4eEhUqkU1tbWEAqFoFQqMT8/z6VIACgUClw+7gULXRhqtZojK6Bzoc7MzODTn/40Lly4AKVSCbvdjnQ6jVwuh2vXrmF/fx/1eh03b96ETqdjhz2TyXQdJr1gId6d2WxmLC6XCy+99BIuXryI2dlZaDQamEwmHB4eolwuY3l5GcFgENlsFrdv34ZareaMU7v9eBpjLwcCOYEymQxGo5Ed46mpKXzqU5/CzMwMpqam0Gq14HQ6OSofHh5GJBJBMpnE3bt3oVQqcXh4CKA7mOr1cKJLSq/Xw2g0Aug46aOjo/jSl76EN954A7VaDWazGdVqFe12G06nE+FwGIFAAB9++CEHowC4aiNcn+PioKybwWAA0Nkrbrcbr7/+Oj7zmc9w4NRsNqHVamEymWAymdhBarVanOURBi+9Zlio4qLRaPhStNlsUCqVcLvdmJmZwcDAABwOB2d86M9HRka4NExrUqlUuDLSa+aJ1oXea6ATeKvVarjdboyNjcHlcsHr9XIGSq/XAwAGBgaQy+Xg9/sRDocBgM+7SqXC1RsxWOgSp3VwuVxwu93Q6/UwGAwol8tIp9NQq9VQqVRwuVzIZrOIRqN83ubz+S4aRi97ly51hULBlyCdvxqNBkqlEgqFAkajEVKpFOl0mgMeu90Or9eLUCjEgYPRaES5XGYsvVyshEUmk/HzpWwXVTMtFgump6fh8/n4OWm1WlitVlSrVezv7/O+LxQKMJvNKJVKvHd6XRPa88JspEKhgE6nw9TUFN544w3YbDZEo1EoFAq0220Ui0WuTgBgp6xYLPaEQ4hFpVLxnSakilGlTKVSYWhoCJOTk3ymFQoFpNNpqFQqXpNGowGr1Yp8Pt/l9B/HyNFTqVRdGU4hHjpXDAYDpqamYLfbcf/+feRyOa520mdWKhU4HA7kcrme94owiDl6LgmTfe12G3q9HoFAANPT01xtoYoVPVfKoObzeVFYALB/dNTIYW80GtDpdHC5XLh06RKMRiOKxSJMJhPUajWfv8RTFj6j454vwgz+074DPYNms8nUivHxcVitVigUCgSDQTgcj/uvvV4vZ/t7TdjIZLJjrSVV0F555RV85StfgcViwb//+79z4J3P5zEyMoJgMNh1Nx7X+sog63Q6WCwWOBwOXLlyBQBw8eJFmEwmZLNZJBIJxONxJJNJJJNJjI6OQqfToV6vQ6lUIpfLIRgM8iHZbrdFlSva7TYfxgMDA5iZmQEAXLhwAW63m8u9lElqtVrw+XyQSqUYGRlBu91GOp3Gzs5OV1TZa8mPNrRWq0UgEMDU1BQA4MyZM5iYmIBMJkO1WkU6nUYymeTgwefzweFwoFKpIB6Pd1FT6DLtNRIjJ1apVHZhGR0dxfnz56HVahGLxZDP52EwGFCpVCCRSGA2mzkLNjw8zBc5AL5MxWBptVqQyWTwer2YnZ0FAAwNDTGWvb09FItFzg7Q5eZyuSCXy+H3+zk7CoAzLWKxqFQqOBwOeL1exjI5OQm73c4l1lQqhVarxY6EVqtFpVKBx+NBMpnk0pZarUa5XBaViaMMik6n44vRarViZGQEdrsdm5ubAIDt7W121jUaDer1OuRyOZxOJ+LxOJeUVCoV7zMxOGjdAXDZymazcSYrEomgXC5DqVRiaGioq8wWjUb5YFIqlXy4izG6gOjgrlarzGulLNfKygoKhQKUSiV8Ph/a7TbK5TKMRiOMRiOvifCC7TX4prMFAH83+j2lUolKpYJisYjFxUXOWFssFsjlclQqFRgMhi4sKpWKLyExmR7CYjKZ+Ofp9Xq+uKrVKh48eIB0Og2JRMJZ7Wq1yhnBdDrN/1alUnGzmph1aTabHDgoFAqYTCZ2BCm4JvqERqOB1WpFvV6HTqeD2WzuekYajQalUqnndaG9S+8EYdHpdDAajfD5fJiensbQ0BCy2SzW1tZQKBTg9XrRarWg0+lgtVq5JJxOp6HT6VAqlXpaFypDC3G0Wi2uVNntdjgcDvz+7/8+ZmZmsLW1hZ2dHRgMBk4gWK1WPlfS6TQHDr0anbe1Wo2DKfouKpUKFosFSqUSJpMJf/7nf46RkRHcvHkT9+7d43eOggegc95aLBbUarWeKzF0F1Wr1Y+UzmUyGQwGA9MgL1++jD/7sz9DNBpl3nG1WsXAwACvaTKZhNPp5CRAL8kjuqOFwakwY0uZ6mq1CrfbjW984xsYGBjA7du3sbGxgUQiwdQPoOOAeTweyOVyJJPJnpIkhEVYZRN+DwryKAlAa3Pv3j28++67CIVCsNlsfMZWq1X4fD5kMhnEYrGe/AahM/60taRnV6/XMTw8jL//+79HvV7HT37yE2xtbXFDLtBJkAQCAZhMJhwcHKBQKPR0P37cvSEMrPR6Pf7mb/4G58+fx+7uLt59913s7e3xvi2Xy/D5fNBqtQiFQsjlcj0lSU51kE/t1E7t1E7t1E7t1E7t1ATWVwa5VCpBJpNx9g0Ap//T6TSWl5eZC6jVaqFSqTAwMACdTgeZTAaLxYKdnR2OckTKRgHoZDczmQwGBweZ2mA0GlEqlZBKpbC8vIy7d+9yBm5ychJnzpyB2WyGQqGAwWDg6JiwiMmq1Ot1ZLNZKJVKjI6OAuhE4qVSCYlEAuvr65ifn+c1mZiYwPT0NGc71Go1czcJh1geT6PRQKFQYB4p0OF3ZbNZ7O7uYnNzE7du3erCMjU1Ba1WC41GA4lEwmVGIRYxnNJms4lyuQyz2Qybzcb4Dg8PsbW1hc3NTSwsLPDzGR8fx8TEBPPZibtNkTs1gYrB0mq1UKvVuriclH0MhUJYXV3F0tISZ/i9Xi88Hg/0ej2kUimX8CljeDQL0ItRFoS4XQB4T+7t7SGTyWB/f58pOC6XCw6HAwaDAe12G5lMBoVCoQuLGG42ZT6EzZA6nQ4qlQq7u7sIBoNIp9NYW1uDSqWC0+lENBqF0WjsyrILqy5iedkAGAdF+5RRKBaLvPaPHj1CuVyGxWJBOByGxWJBo9HgzAn9G1IoEMufpLWhd5IysNSY0mq1sLa2hsPDQ86iWq1Wfg5CTqpMJut6v3vFQnjouxwcHDAHfmBgAOPj49ja2kI0GuW+BofDgVqtBo1GA4PBwPw8pVLJXP5e9y5Rg4DHFKdMJsPcX5/PB5/Px5WySCTCHEpScXA6ncyHpnNPTAWROKzCrCZR9Shj//nPfx4WiwWHh4fY2dlBOp1GKpWCVCqFx+NhOgwAJBIJHBwcdFETjrM+RCUQrolwz+n1evzpn/4prly5Ao/Hg+XlZT4Ta7UaJicnkUwmu3j8sViM/7uXrK1wrxAWYQO2TCbDyMgI3nrrLXz3u99FMBjEBx98AIPBAKlUioGBAT7vgE4mjrAJf/Zx7SgW4b9tNpswGo0YHx/HP/7jP8JiseD69es4e/Ystra2IJfLEQgEEIvF+N9mMhmUy2UuxR/3nBFiP4qf3ivan1/96lfx+uuvw2q1otFoYHd3l+lvVPWORCKcsaSKynHPXiHn90lrSXiogvrlL38Zr732GkwmE9577z3o9XqMjo7yGRmLxRCLxVCv11nu7CTVWKjJVKPR4PXXX8ebb76JSCSC733ve2i1WnC5XPx3U6kUv9vCysNx7OPWBABn1BUKBc6fP4+vfe1rkEqleOedd7C+vs4N7sDjc0Cv18Pn87Gc4nFNtIPcarVQrVZhs9nwyiuvsDNYLBaxs7ODra0t7O/vo1QqcckoGo2iWCxiYGAAdrudSzX0EvbjZDSbTSgUCkxMTMDn8/GfhUIhBINB7O/vo1wuM7c3FouhWCzC5/PB5XIxv1NIlhfjrFPp0Wq18kVUq9WQSqUQDoexubnZtSbEt/V6vfB6vSiXy12qCGLXhLBQ6Y7WuFgs4uDgAPF4HA8fPmTnqtVq4fDwELVaDW63Gx6Ph51jIUe8H4UElUrVFXgQjYGwCJ9PJpPB2toaXC4Xlx1LpRJfFv1ikclkXZ+XTqdxeHgIiUSCR48eIZPJ4PDwkJsjqtUqXC4XtFotN3TSBdovFolEws8d6BwuJD1Fh97BwQGX12u1GpxOJxQKBXK5HLLZLO+nfpsFqRQOANlsFtlsFqlUCvV6HZFIhB11hULR5YBms1l21vvBQdZqtVCpVPg7l8tldsQTiQSSySQ2Nja6zhDqNi8UCsjlcvxsxVCUhEb7n95nAHxRUOPoysoK4vE4fD4fNznRGZLP5zmwE+sckxFXmLDQM9DpdIhGowiFQlhfX0cwGITNZmOuKSnlCAPeUqkkGku73eagQ6geUa1WmTNbqVSwtraG1dVVtNttmM1maDQaLv1T0y/wuOlWjNFdJGyMprVpNBrQ6/Uwm80IBoO4ffs21tbWmCKj0WhQrVa7zlwKOHp1AqmJlvYiGQVrFosFly9fhtvtxv7+Pu7cucNrRWoJwON3kZ6VsAG9FyoBBd5CVQ2h0/Xyyy/jrbfeQqPRwI9//GPMzc2h1WpxQyw169KaEBYxRliO/nvibA8PD+Pb3/42JiYmMD8/j5/+9KecEKEmcno+wuSEmCQWBQpHjXqIpqam8NnPfhZvvPEGstksrl+/zvc2rQl9LvUt0c/tdb98HJ1BoVBgfHwcU1NTuHLlCvR6Pa5du4YHDx6g1WrBYrF0rQupCRHVSszaPO3fUHA7ODgIv9+PK1euYH5+HgcHB2i1WnC73V3JlVQqxZTIfD7f0/34cbiJwmq1WiGTyfDSSy/hzp07aDabyGQyTMGj8558mlarhUQi0fM90FcGmbhWQ0ND7LgcHh7i4OAA6XQa7XabN5RWq0Wz2eTGPcqWEhdZuABis4LUrEOXUbVa7Wp4o8NTo9FwRpMaMkhaS9hdLhYLHUjUxFWv15FMJvlFEq4J/TllT+iyP6qfKsbo0K1UKgiFQvzdKZqjy4MEtqmzl7Jw9N3p2T5J3P+4JpfLmWNIDUtmsxmhUIj5u8LnI8wICYMGoVZpP1jkcjmq1SpnAorFIra3t/lFItF+CiwUCgU7snSh0iHdjxSTsJOcvkuj0UA8HodEIuG9S81qdIgTx5UuUaF2qhgTcn7pEGk0GshkMkgmk8zz0+l0XaoBcrmc3+lSqdSlVSr2HRJyzGj/SyQdEfxCoYBgMMjZDMogUeNaPp9HKpVihx0Ac0nF7hf6vrS25LTLZDKk02lUq1XmSlarVVZ2KBaLvH7xeBxA5xKjs0pMlp+M9p5Op+NO7mKxiPX1dYTDYRweHkKpVLJEVi6XQzKZxMHBAZ8F6XQajUajC0svDhgZvZNqtZqzNc1mE48ePcLq6ip2dnZgsVjgcrmgVCpRKpUYB8mIkZoGVanEVhOFz4h6KjQaDe7fv49bt27h/v37zFmnprFQKIRUKoXt7W0AYP6m0DHt9WKlM4HOMZPp/7H3Zs9t3tf5+IN933cQAAnuIiVaphZb3hRvsRNnddNk2mnaSduZTi/aTq960Wn/hV50pp3pVZM2ncnSNq2TyJaXSJYtyhIli6K4bwAXAARJ7Dux/C7Yc/SClh3iBd3o1y/OjMeyTL548Hk/y/mc85znmODz+VCv1zE/P493330XGxsbMBgMfIGiPY3qDjY3N3ldA2CZx1aNxpHWOBXVf/3rX4fVasWbb76JH/3oR4jH4+yk7+zsoFqt8vuhgkp6lrAQ8Sh22MEnLFqtFv39/fjjP/5jPPfcc4hEIrh06RKWlpYAHMxv2g+3trYAAOFwmOUSKUMjhqct5B5LJAeKLIODg/j93/99nDlzBjKZDNeuXcOVK1f4sq7VapFKpXg90zuiojiVStXWeUBYtFotXC4XvvWtb3Et1fz8PH71q1+xChYVklLhOmU96HxSqVRtyeEJCxptNhu+/OUvY2xsjGsHvv/97yOVSkEmk8FsNrN6D40LZd0oWytWxpHOA6lUCrPZjAsXLmBoaAiFQgEulwvvvPMOEokEc/iBB/tjLBaDUqlEtVpFuVzmJkFHtbYcZFJA0Ol0POEp8ra1tYVisYhCocAHncFggEQiwe7uLjuDFPYGDqqHc7mcqENMoVBwNTdVmkYiESSTSUQiEb51UpUqOcWkmVoqlZqca/rZVrGQ5qbNZuOXRVGjVCrFN021Wg2r1QqHwwGVSoVsNovZ2VkumhMKkYs92KkKmSJr9DwqaDEYDKhWq3A6nXA4HHA6ndyhZ3p6GvF4HGq1mh0C2sDFGKkAVKvVpqJMi8WC/f19pqEQncFut3MEdWVlhdNrwgi/WCPJLqEofyaTgV6v59twpVJBd3c3bDYby2ZFIhEsLS0hGo1+IsovdlzoQKILG/DgQlKtVuF2u+FwODAyMsKFPsDBBkTqJ6RBDIgX0Sc5KKEzQN2r6vU6/H4/lEolDAYDqxVUKhXE43GEw2EuthVGSgFxeuIymYwvY8IxpnHxeDwwm80wmUxc3FgqlZDL5RCNRrm4h95tsVj8zOjIZ5mwQ5+wGEb4/WQyGUZGRljVQ61WQ6vVol6vMzWF5nw7WOjzhHSPUqnEwv2hUIiLXR0OB2w2GxQKBQKBAMrlMqamppBIJPhApYJlMfrm9B2E0TjhHJyfn2faCc2ZUqkEi8WC7u5u/n+UhqXIF2FpBY8Q/+H9oVQqYXV1FVtbW1hYWECj0YBarYZOp0Nvby8CgQA2NjYQi8U4oEEZtVaziIRb+Dt0LtZqNSQSCVy6dAkzMzPY2tpCOp2Gx+OBx+NBMBhk2gftdYVCgaPgh7XXj4LlsJHDQ0WDy8vLmJmZ4UYchUIBer2eCxSr1SpjIQdejMynsABNePmVSqUwGAwYGBhAIpHAjRs30Gg0cP36dYRCIVaKoaZA5JRSgIcig2Ic0sNYaJ2cOXMGBoOBi8CvX7+O27dvQ6FQ8FllsVi4OQftS5SlarerHql9nDx5kvW6XS4XjEYjpqen8dZbb0Eul8NoNPI+SL4CCQsIdd/bxaJUKjE2NobBwUGMj4/jiSeeQK1Wwy9+8QtcunQJwMElxu12s0wtGWXKxUpaktH78Xg8ePbZZ/G7v/u7GBwcxMrKClZXV/Huu+9y5p6okLTHSaVSZLNZltZsda9ru1FILBbDysoKS1TVajW4XC4Ui0VkMhnmkJJSQzqd5puzyWTC7u5uE1+rnVsy8YGEChAkK0T6u3K5HF6vl/ULFxYW2GkWbkJU/dvqZlCpVBCLxbC7u8sSOeSgUkW5yWSCTCaD3++Hw+FAsVjEnTt3OC0t5A6Vy2VROICDwyEajcLn83EFvtlsbuKykjqAy+ViuZpIJMIRb2GDFUpjinFOyYkTapVSlS5JVJFD73A4YLVasbe3h1AoxBrWtEELsYgZF7oQUZoVAN+EA4EAN6Awm82wWCywWCzsqMfjcW7vKcQi1kEmR4soHwCY4xwIBOD1emG322Gz2ViFIBKJYG1tjZU06LAAwJHvVo1+X5hFoc3fbDYjGAzC6XTC5XJx84X19XVWQqHI+mEcYi53xC0/jIUOp56eHm5CodVqoVAoEAqFsLS0xFkhIZWAMInFAqDJKaULJl2EA4EAAoEAHA4HNBoNEokEUwYosk7OejtNBWiuC50CevcURaMoyuDgINxuN/OhI5EIU2Yoyt9OUwFhxPkwLplMhkQiwY4djZPFYmHqCVF3Dkf5xVLs6N/C3ycFCdLkLpVK0Ov1UCgUMJvNvH9kMhkkEgl2ekhLVsylgUy4Bmku12o1TE5OIhQKAXhA4yPZxFwux5Qz4EG2Qfj9xIzNYUUYUlmamZnBzMwMUqkUa0JrtVoOCGxtbTV1RhNeGNpxdoAHMnQ6nQ5jY2NIJBKYnZ1Fo3GgdmG321mL2W63N13syNmhc0gsFhoXkh80Go148sknoVAosL6+jmg0ilQqxVKWFNQqFAo8b9PptCgZs8NGNCWdTgefz4fh4WF87WtfY7WRpaUlLC8vc9t0kgMsl8tNMqxEW2oHizDTcPLkSXzpS1/C66+/zu/jzp07mJ6e5uxIrVaDTCZDoVBgB5lkdNvBIpTBCwaDeO655/A3f/M38Pl8aDQaWFxcxI0bN5qak9C+S5dd4V4sKtssCjkeSGz09fVxK1Hg4EAxm80YGhqCVqvF1tYWR54o/UZcFopckpMyPT2NfD4vqgCApGvK5TJvMMDBSw4EAiwgTQV5dIO0Wq0wm80sO0QbwMrKCqfZWimMoIW0vb3dNOlJ4sftdiOdTrMMUb1eRyqV4sI10uekA5X+LWZMKAVN6Q7gwFkYHByE3+9Hd3c3b84KhQL1eh3xeBxOp5NvXhRlB8SnqoVUBYpIAOCiza6uLvT19cFsNsNgMDDVo9E40PxNp9PY29tDKpXiuUKHuxgs9DskhQUcyGb19fXB7XZjaGgIbrebD1H6PHIQ6QIjFJQXQz8RYikWixypLxQKMBgMXBDi9Xphs9n456lhht/vZz608BBs9R0JcZTLZZ63pVIJarUaBoMBLpcLfr8fNpuNL3EGg4E7ycXj8U9cbMU4GUJMQrksShlSapHaGFNnShKL93g8mJ2d/QQHT6zzJSwuEmZS6M+ks+5yuViikAqQbTYbvx+hY9FOBJmeQXOPai9Il5662dFFmDTZc7kcdnZ2WMucntPuOwIeHO4k+UZZp0wmwwVf1GCmq6sLlUqF17MwutRu1IsiTcDB3CNZObVajc3NTb6MU0vukZERqFQqXL9+HXt7ezx/28Ui7bJBRAAAIABJREFUxEFpd7/fD7/fj+XlZSgUCrjdbk4RDw0NweVyYXZ2lukdQhzt0OyomAk4mLdUPE7FnJRBpMilzWaDy+XiQk/aZ4/r/VCghuh9TzzxBJ566imsrq7yRZKCJNQ5kzTNKQtDRXntYiGKI2WyL1y4gLNnzyKXy3EHTLVajf7+fn6ncrkcsViMnVIx2roPM5L4JPnM06dP4+TJk0ilUgiHw7hy5QoymQy8Xi8H+9RqNQdKAHyiq6pYI6qjUqlEMBjE888/D5/Pxx0wL126hEQiwQFA6rZKkr4AmObRDhaat1KpFF1dXfjud7+Lrq4uJJNJ3L59G9///vexvr4OmUyGarUKjUYDjUbDdDIAbTvpbTUKoU16d3eXaQ1UUUybk9fr5Zaf5Oj09/ezXmY2m2VNT7qhZTKZllKR5BxQSogKWGq1Gusaut1uxqLT6ZBKpRCNRllnt1gsIpvNMteT+tNT5PMoWOgwrVQqSCaT7PRSlS4J1gsXP3X0e+KJJ1CpVBCNRlngn3BQFb5wA/91Rlj29/eRz+ebVADoO9GEMhgMUKvVyOfzSKfTuHDhAvb29jA3N4dEIsELhkT3hRHLo2I5nKYGmgt6qPKUnCC6nJw7dw5utxt37txBOp3mccnn8xzJa3UhCiMyNIer1So3KqBKV8oikP7z2NgYjEYjrl69ikwmw/OMnDGhfvVRjRxrAE2Hu5Ajv7e3xwfC/v4+MpkMhoeH+fJC/CvgQVGnUMWhlTEhzhlwsJYVCgW3BN7f30c8HudMh0qlQjAYhFQq5Uj/YRyt8jeFDr4Qi1KphFarxf7+PvMjFxYWPrHfjIyM4M6dO00XVGEGRkx6WNh0AXjQapp4bdvb2xyVJU3oYDAIt9vNnG2aZxS1FJv9oCYqtA6AB1kh6hhHkfdG44GKAx3uNF70LPp+rWIRXsBpf6BmElarFTqdjrnElJUxGAycniY8woud2IwDANbwJixUVDs4OMiXp0ajAb/fD7PZzBc7CgIQZ1n4/cRgoegeOV+FQgFdXV148sknEQgEuOW2yWRCvV5nh5Si3cIGCcI1KSr69T/vncYkn8/D6/XixRdfRFdXFwqFAjtaPT09TFkCgPX1dd7rgQeX3Xax0PPz+TzGxsbw6quvsrJRT08P1tbWuFMcXf6mpqaaKGi0F7ZbgyJsgnLx4kW88MILMBqNyGQyHBHt6upCT08PkskkN8OgM5V+tx2jeUvjIpFIMDAwAL/fD41Gg3A4jKWlJUxNTcFgMOALX/gCq69QlkaIpR2HlPYGmrvkINP+MD8/j+vXr+PGjRuw2+149dVXuRkTnQnHgYXqcoSO+smTJ7kY/I033sDPf/5z3Lp1C3q9HqdOnUIikYBWq+WmRMc1JqId5FqthmQyienpaTz22GMYGxsDcOAsZ7NZ2O12FItFxONxdoC9Xi/8fj/K5TL29vbg9XoRCAQ4jTM5OYlkMtlUDXlULKVSCTs7O0gmk7hw4QIAsCj0YUksqVTK0TngIB1AEV564cQHPswp+yyjFCOl86irDEnQeTwepi0kEgk0Gg1OPyoUCuRyOX7JVEhDk04ML08YtSIKDHCw+ZnNZqZeUMSdClrogKP24MJe5tR0pVUswoOQHJdCoYDFxUWWUiuXy9jc3OQud1R0SVhSqRRHsyUSiSgsh9Og9N/pdBozMzOoVquw2+3cXYsKGAHAYDBgdHSUI2BE9id6hFjni7DQwZjL5XDv3j3mwdvtdp6HBoOBD5TR0VGsr68z7xQAX/Za5U4KcQi5tsvLyzxfrVYrH5q0efb29mJ4eBjnzp3jNuXAgbNPl1wxY0IOmPB7kKrI7u4u/z+SJDxx4gRGRkbQ3d2N8fFxhEKhpiheq00fyMhRIocOABe/UNR8Y2ODHVTa2KmFfTAYxMrKSlOzETGNOQgLKWTQnFSr1U3RJ8JKtQdUI1KtVpkfTZcOUmQRHV35n4sCBUeoYNtms8Hn83GHyL6+Pmg0Gng8HphMJiwtLXEzILp0NBqNpmLtVseFaBPCTmePPfYY01/K5TK3StfpdOjp6YFarcatW7d4HRMWg8HA9IZWccjlcjgcDj7zqtUqnn76aQwMDKC/v5/l05RKJXK5HLq7u6HRaLCystJ08SQTg+MwFtr7C4UCnn32WQwPD8PlciGbzTJXPZ/PN2UOqY3xYSxiaz9kMlkTFmoK0t3dDblcjlwuB4VCgfHxceTzefT29mJnZwf1eh2Tk5NMl6Tvls1mRTunEomEKWsAOKKv1+tRLBaxtbWFcrmM06dPY39/H8PDw5ifn0c6ncbdu3dRKBSaLqjCQkoxWCwWC69huqhRYeLy8jJSqRTOnTsHn8+HZ599Fh988AEikQg2Nja40yBwsIbE7nMPw0JdGCORCOr1OpaWllCr1XDhwgX09PTgwoULeOONN7C5ucmRbGGQR0xXZDKLxfIJgQeq/7l9+zYkEgnOnj0Lh8OB06dP48033+T6t0Kh0ISjnULFtjjIjcaBjNje3h7u3LkD4EEUYW1tDXa7HZFIBFKplFOQoVAI0WgUVquV+7zTTcHr9SISiYgmutOknZqaAgC+oYdCIbjdboRCIej1er7F02RyOp0YGRlBuVzG5cuXm57V6oYgbJE7Pz/Pf2+z2bC6uspRbpJfowiTzWaD1+vF+fPn4fF48NZbbzU9V8wmSdEdvV7P1cjAAxUPiUTCHGcqHCRKCmFpNBp49913mzCIjXzRYU7pD6lUygWbdLhTtFar1cLr9WJoaAg+nw/j4+PY2NjArVu3AOATUZZWx4XGnw5HKvKq1+tNbSqLxSJ0Oh36+vpw+vRp9PT0YGxsDHfu3MHc3ByAB1GEdrBQoRXwQLZqeXmZJb3S6TTzxYeGhnDx4kWcOHECp06dwsTEBCuDiB0XihbTnADAms+ktatWq1lqT6FQoK+vD6+99hoGBwdx7tw5vPfee3zZPVxk14qR4yR01qVSKcrlMnMRSSaMnKPt7W2YTCYMDAzg3LlzuHr1KnMW28Wi0+m4qBM42BsID0kHUUqfCsA8Hg9cLhdGR0dx+/btptQjZT5aNXICKfIFAE6nE06nk2lSMpkMarUalUqF+YtEffD5fLBYLPyOiE4jhhdNzrfb7eaLg9vtZh11p9PJzjMVW/l8Pq4k1+l0MJlMfOElHjVVn7c6Lg6HA8FgkMfG7XbjzJkz3CWPur5SDYrBYOD21yaTibNpNC5KpbLld6RQKGC32zE8PMwF2larFc8++yysViuUSiUcDgfXXlDL7VwuB4fDge7ubqyurrKDQmMiZq7IZDJulUyOoFarxfj4OFMJqU9AtVrlrqKlUglmsxkDAwOYn5/nyGalUmmSdmzFiL7hdDr5/dC6qtVqiMfjnPHKZrNwOp1cjCyXy9Hb24upqSkel/39fU6rt2q0X5hMJn5evV5HJBJBsVjE3NwcVldX0Wg04HK5EAgEYLfb4XK5ONBUqVTYeSNZP7HSmvSeaO7V6wdyq1KpFHfv3uUaqZGREZ5XdrsdOzs7HMCi322nWJzwaDQani/1ep0DeVNTUxy0Gx8fx/DwMMsB0mcLs6rtFCvSO3I6nQCa/ZXbt2/zWTc+Po6uri5e4yS9mkgkPiEs8L9OsQAONpJYLIYPP/yQD6Oenh6oVCo+yAqFAtbX1xGLxbjAiRaqxWKB0+nEl770JQDA1atXH9oj/ShWqVSQSqWwtLTEXCW6JZKEF/Hw5ufnmR/n8Xjw5JNPwm63w2q14itf+QoA4Nq1a5/aI/2zjNIvpLMMHGxMZrMZ5XIZ4XAYhUIB2WyW/9FoNDzhXC4X+vr6GMfc3BzkcrmozYBSwNSOF3jgONFNuVqtIplMIpVKIZVKwWw248yZM3jllVfg9XrxjW98A1euXAEA/Md//IdoLFThKyxooxRasVjE9vY2arUaS/hUKhV4PB5Uq1X09PSgq6sLX/ziF3H16lUA4HbDYjYm4rAJf5cqoovFImKxGEqlEtbW1vjv6eAitYLHH3+cL4XCqvdWjSL9lDonfFQUlkgk+BZPqcVIJAK/348LFy5geHgYQ0NDfBkrFAqiNmxKWQpxEL79/X0uTKGoDn3WF77wBVitVuZvk0QVPaudg+MwHUCo70lriH6edFutVis8Hk+Tsg5RDsRgoXS5RqPhNUT7AskzUkMelUoFhULBBxkdwkIlGJVK1VTg2YqR3BJVtdPzaE0T7ahUKrFTqNfrWUosmUxCpVI1HcZ00WjVyOEeGRnhTBmlZ6k9rkql4kJBu93OUpKkVkS1KWRiD1W9Xo/+/n5cvHgRfr+fx4KaopCUnc1m43oTctqocJEcVuDgnQv376MY1eQMDQ3hm9/8Jjdm2tjY4Mg9FXTRJYeoh6SQQ/x1t9sN4GCeUe+AVk2tVsPr9eLixYsIBoMAwO2AKQKbSqWasp0kQxcKhZgfTvOM6hPEGF1CBgYG+Hl06SYqWzabZanEQCCA3t5euFwuDqhRdhU44P2LjdoSDYd0dAHwWORyOaRSKaTTaWg0GqZJGo1GWCwWrK6uYmVlBfl8np1rki4VY5QNErZoViqV7PyHQiHs7OxgYGAAWq2WdZiJ+nkYi0qlagsLFQBSxLW3txdDQ0Oc4SgUCujv72dntLu7Gw6HA6FQqEkFBXhAF2zViDNPeykAPPXUUzh16hQajQaWl5chk8kwNjaGU6dOMc7l5WWUSiVMTk6iVCrxXKF6JrHWdgS5UqlwhTSAJgdDqH0XjUY5BatQKJDP5/H6669zhA4A+vr6sLCwICrVRhzQVCrVpAlLG5dEImHuIkm/EQerVCrha1/7GstqAUAwGMTu7m7LE45wFItF/u5Wq5U5MqTjSnIs1ClpZmYGWq0WX/ziFwEAg4ODAMCKIGKMKB9CbhBFwigNvLq6ypX21NVubW0NHo8HFy5cgEQiQX9/P4ADR19suoJ4sUJeGwCmU0gkEoTDYU5bE/c2n8/j1KlT3E+dDsC5uTm+VYpJ41PRFTn7dGvV6/VoNBrY2NjgOV2pVLC6uopr167hhRdegMVigdFo5AOVnHuxWACwBB6NCaXJJRIJz0O6EMTjcSwsLPAzaEOh3xUjUQWAU+LkSApTzsAB9YN42RSR1Wg0HP0WOqDkJInBQXxfs9nMz6SNW61WcyqaagxI3qe/v5/3FuEcIydJzCVGJpNBp9PB6XQ2FQyWSiWOzlLEn2oohoaG+OeJTkGHMXGXxfDVlUolLBYL3G43R1eETQooUk77DqW0SYaK0rHC+gZy1ltZ1xRpcrlcsNlsvD+kUikYDAZWnCGtbqKN0aWGqFFarZYPMqlUyuPaqr6uXq9HT08PrFYrd1ENhUJcPC6k/NF3393dRTKZxObmJmuw0/vQarWw2WxNjYmOYkajESMjI1xACxzQgqihAzUyoMCFTqfD9PQ00uk05ufnkUwmmzTwKeVNdRqtjAnJp3V1dXEtDOlRazQa5HI5+P1+hMNhPrNmZ2dRKBRw//59Dg4QFprfwuYurWDp6upiHjjwoEjPZDIhlUrhxIkTWFhY4EvE1NQU4vE4pqencf/+/aZGMpT5aDVAIpFIYDQa4XK5YLFY2M+g7CkVII+OjiKdTrNM7cTEBJaWlnDv3j2WrxU2z6Jnt1qgbTQaYTQaodVqeZ4RN5ouUSdPnoTFYkEul4PRaMTa2hp3VqUmJUJFG7HULcIhbHBjNBpZ052UJNxuNwfSiGpH/g4V5gHiuL80V3Q6HbRaLa9Vl8vFF2ui9gUCASiVSlYP6unpwdzcHCtdCQs6f2MOMgCmKpARoZ74eMRJJqAKhQKNRgNLS0u4e/cuXnrpJXi9XgCAz+fj6JHYaJyQ90iaqHRbJEdeiEUqlWJjYwNLS0sYHx/nDbavrw/37t1rOWJKzpdwMy4UCtzcQC6XIxwOs7NOhTQkN0QC/z09PQCArq4u7qLWaoSFsFDKEHhwsyuXy9zJbm1tjRcXRRiI1y2VSvn96HQ65oqJwUIbMTkadEBSZAlAU6tVujiRpJvQQSaheqEUWCtYgAeOGH2WsMW2TqdDJBLh6BNRMihlo9fr+bZMzxODBXiQgqTIHhVdUTRXr9cjmUxyytVqtfJF7nA0UugotWqk9UnvgtpIU5GqXq9HJpPhVCNxGemSTHO6XRxE3XI4HDxfKYKSzWa58Gx/f5+pHi+++CJrgk5OTiIWizUVkopVAqCLlNfr5fdD64PwWCwWqNVquFwunD9/HufOneMCm6mpKW6CAbTfIl0ul8PtdvM+RdX4qVSKs1EnTpxAf38/bDYbNBoNN0+h7lb02ZS9aPUdCS+YXq8X3d3dAA72b4fDwcodJpOJub7kbEQiEe6wCjTvR41Go2XKB2U+9Ho9uru7uYsq8ZELhQJLieZyOS62ymQyWF9fx8LCAvb29rjpDfCgiIu67B0VB12mrFYrO/79/f3wer1c0EjPKxQKMJvNqFarmJ6exr179zA7O9v0TCpcpkLZVsaEfleonT42NoZgMAir1QqJ5KDxzejoKKxWK7q6uhCNRvHjH/8Y09PTmJqaapKMFNaRtGKEhTIxdJZYrVY89thjnA2h4jStVguDwYC7d+/i0qVLWFtbw9zcXBN9QKzUHGGh/XxgYADAwRqis7+rqwu1Wg2BQIDPmJ/97Ge4fPkyR7OFvomw4LtVLBSxlUqlvIYGBgZw5swZDA8PY3R0FI1GA4FAADs7O/joo4/w93//91hbW+PmNhSkFINBiEWj0XCnW2oZffHiRaYxnDhxArVaDcFgEBsbG/jRj36Ef/iHf0C1WkU0GmUfrx1qBZ0xFHSh85WojbVaDWfOnIFKpUJfXx9isRiuXr3KKjSLi4usAd1OnwShte0gAw8KyYCDCDIdXnTrEx5OVKE4PDzMXL5wOAwA7ASIPcyE0VvgAZes0WiweoMwYkgLd3x8nLtALS4uMhaxByvhEErfGQwGpFIpZDIZ5t0SDtJgfOmll5hX9P777wM4iMpQQZKYWyp9Pm1u5XKZHZ9wOIxoNMpRKJqULpcLL7zwAkqlEnZ3d5mXTY4qPVssFmHa3G63szwf0QnosLFYLAgGg3j88ceRzWaxsrKCGzdu8HPoma1ioSIw4EGjDqPRiK6uLp4vFJWjn+np6cGJEyfgcrkQi8WwsLDAnbeEDkerRnxEklMDwLzBZDLJVBLC4XA48MILL+Ds2bOQyWRYXFzE2tpaE92g1YJOwqHRaFhlBQAXsVJkf39/H1qtFna7HY8//jhefvllBAIB7O3t4caNG/wzZK0W25LJZDJ2rugi4HK5UCgUEAqFeDO22Ww4ffo0zp07h+HhYdYLvXXrFtLpdNNaFyuXRREdt9vNl1ZSvolGo0gkEpx1OHXqFEen9vb2MDk5icXFRY6KERYxzRYIC6m8kNMzMDAAk8nElACDwQC/3w+r1YpyuYxQKIRQKISFhQUkk8mmlH2j0fhE5P+oRlkEiiIBYK1sYfMlypKl02mEQiEsLy8jFAoxf5scZbpstBpVF6pfAA/Ws1ar5QgyyWZubW3h/v37zG+fnZ3F6uoqarUaIpFIk1Y1/dMKDgCcvSBnm4okSUqsWCwiGo1ia2uLL1l3797FzMwMR/mFDg/ReFodE1I3EDq1wgu9yWTiC5PJZEKhUOAsGbUPFrYip31FzPuhqLOwMI4ue5VKBSaTieehQqHA4uIi/vM//xNXr17lQuWHUaTEZKYo4hoIBJpUiCiD4Ha72VHL5XL44Q9/iB/84AdYXV3l9ypsEtVOQVylUoFcLsfg4CBjoUwmtXZuNBrI5XL4xS9+gb/+679GIpHgICKNXzsRUvpMygYODAw0KUWRJCK9o4WFBfzd3/0d/vVf/5XHg/C2q+gh5IcHAgG+ZO7s7GBkZAQWi4V7TPzoRz/Cv/3bv+HKlSvMSSff8ricY+CYHGShI0mOHN2MhJJD5AxS1CMcDmNmZoYdWmGluFg7rGpAg0Zde4StXnU6HdRqNfx+P0c3hI5GOyacLOTw0Rh0d3cjHA7zi3W73ejr60NfXx93c6OXTIep2PQ93TBpo1SpVNxeWqPR4JlnnsH169eRzWahVCpx+vRpfOMb38DY2BhvmsJCGqJJiKU1CFtKU9SNiiZfeOEFXL58mTlgTz/9NL797W/D7/djY2MDi4uLjIWoI+2MS7Va5ULRrq4uBINBdqQsFgunwT0eD1566SW89NJLMBgMWFhYwOLiYpNeKc2pVhcnrRupVMoOWDAY5KKieDyOrq4uLoh6/PHHMTo6ihMnTqBUKmFjY6OJF0zfrVXpLpqjxKMkHDQ/o9EoKwGcPXsWfX19nHFYWlpCKBRqmmdCHGIKXSmSRE66z+eDQqHA2NgY82ZJy5s6J21vb+O9997D1tZWk1pKO2uI1glFSwEw944yUfV6HQ6HA2q1GtVqFaurq5icnMTbb7+Nra2tJpUQOujFjAtdlEgWEThYQ93d3ejv72c1AJ1Oh729Pezu7uLGjRu4evUqVlZWkEqlmvYlSqG3GhmkAzWTybAzLBwrysBMTU1heXkZi4uLkEgkCIVCmJub465jwjlKjqCYw5607wuFAqLRKICDoE1XVxfy+Tzy+TzC4TCuXbuG6elpVvgIhULI5XJN7xEAyyu2euDn83m+kNCzSL1of38fe3t70Gq1WF9fx9zcHCQSCXctpeY2tMcCD6g8YhyPYrGIcDiMO3fu8Jjs7u5yh1JScyoWiwgEApBIJPj5z3+Oqakp/nvh/tGO9jCpE129epUvdtlsFjMzMzAajdDr9dwwy+Vy4b333sOvfvUr7O7uNqn7CE1sEI1kGa9evcoXhmq1iqWlJVy/fp1rb7a3t7G4uIh//ud/xubmJsrlsug95NOMWq5fv36dnVKr1crF6K+88goUCgX+8z//E++//z729va4HbvYhlAPM4lEgnw+j2KxiHw+36RcotfrubFbKpXCP/7jP2JmZob3MbrEHQcW4sYTF5z2uEAggMHBQSQSCUxNTeHatWv4yU9+gnw+z++F5shxjQlZ6zmTjnWsYx3rWMc61rGOdez/sB1LBFlownQXpSeJrkB8QYPBgKGhIYRCIb7VAmDuVjvV70ITSlep1Wr4fD5sbGxwodHAwAD/E4/HMTc3x3JoVLXeaiROiIF+jyLVtVoNBoMBZ86cgdls5qKZixcv4vnnn4fVakWpVMLCwgLu378PAMyNE8P/EnK2KAphMBhgNBqhUCjgcrlw7tw5OBwObG1tweFw4Ld/+7fxwgsvoFarcZp4Y2Oj6XlibmlCigVFnKgzm8fjgcViYQWPnZ0d+P1+nD17FqOjo1ys8fHHH7NaijBCKQYLRZCpUEMmk8HlcrFkllqtxle/+lVIJBLWi7ZarZicnMQHH3zAnZ8Ii9hxoTERFhY0Gg34fD4uTtBqtYyBOhZVq1X88pe/xPXr1xGPx5vSsGJ5vyR1J+wS1dPTg/HxcdbepSh3sVjkopX/+q//Ym1bSktTtkRMtKVWq3HbXcLS29vL1BPKxrhcLlb6oDT1jRs3uAJf2ORArFWrVezs7CAUCsHn8wF4oNSj1+shl8vRaDRgMBiwt7eHpaUlXL58GXfv3sX6+joXWNH7oQyXGEzFYpGllijzQVkOas9eLBaxvLyMiYkJrK2tYWlpCfPz81wYRo1waJyF6eKjWqPRQDabZXoCRXry+TzW1tYQjUZRr9dx69YtTExMcAfMer2OaDTKNCaK/hAW4X+3giWZTGJychLFYpFT+NQZlWpgqFU8FY8rlUrs7u5yVF7YeZHqNlqZu1SENzU1xbx04AEthlQauru7sbu7i1QqxRSTVCrFtTnCeh7KuIkxqnu5dOlSk5yZULnEbDZziv/evXtYXV3lQligudCqHR4/KUxNTk42RSfpeVarFaOjo1yE9fbbbyOXy7HPIMy+EhaxRtmk1dXVpmw1cep3dnZw9uxZXLt2DaurqzzHgQcKC4f3V7F4qMnV9vY2z8N4PI7Z2VkolUrMz8/DaDTiypUrTNOic4/oCMJ30g4HuVgsMvWQxmViYgIff/wx9Ho9bDYbqtUqq0TQmAgZA+1ioX2FcNCY/PKXv8THH38Mg8GApaUlrK+vc6vvw1QXYRfe47C2HeTDhyA5Y8R7LRaL3O6UusMEg0GYzWauzpyengYAvPXWW4jFYjzYYgdZKCNWLBaZt5fNZuH3+xEMBllz8+TJk3C5XEgmk7h37x5u3rwJALh9+zbS6TQ7/EfFQk6b0HkjbT6TycQ6il/96lcxNDTEqhp+vx8ymYyd0tu3bwMA5ufnRaVBhWMhHJNsNotIJAKbzQa/3w+dToc/+7M/g9vt5o2MutHMzMzggw8+4EYh1MRFDBbinAnHJZ1OY2NjAwqFAt3d3ejt7cUrr7zCgu0khH7//n28+eabuHPnDjvIQg63WCxC5yAej2N7ext2ux0jIyPsuJPO99TUFEKhEN588018+OGHTSoX7XCe6PPz+Tx/t+XlZXg8HvT19eHkyZNN/ORQKISJiQmEw2G89dZbCIVCXM0MiN8kyUGJxWLM/SKFGbvdjq6uLubwJZNJfPzxx3jnnXcwMzOD2dlZpFKppirmdjaoSqXCnfDoPW9vb2N8fJwdQYlEgqWlJczNzWFubg4zMzNYWVnB7u4up6WPg4tG81B4mZqZmeGCInp/oVAIKysrXAy3vb3NNQ/ttgsmy+fzfMEnLWPggPJhs9m4G+jq6ipSqRTvoclkkjGI3VcPW6lUYgUISuG/8cYbrAxDjXSEraTp9+i/j2NMgIP5Qs1yDs+/w6omEomEG14cpsEdB45IJIJcLtcUTCAnolqtYmpqivdk4vi2y2c9bHT5J+10ckqpQJQu5NFolNcRjQldXI7L6D2TUyVU26lUKtwZc2NjgwushIoqx8knFVLr8vl8U8dQora8++67mJiY4C51D6OZHCcWGm8qVqX/rlareOedd5g2ddj5pIDGcWGhfaFkrHgqAAAgAElEQVRUKvE7opbbROcgVZrD81RYKNguDpqDQpEDutwKaS6ftne0y4M+bJIWC62O/MN023I6ncyXVKvVyGQysNvt3LAjmUxy4dX29jaAB8UJ9NIajcYnvKCjYqEXq9Pp0N/fj5deegnZbBaFQgGbm5vw+XywWq2IxWIcbQEedMehlyHYxCSHnv+pOISbJAn422w2PPnkk/jud7/LOsjT09N8Q7t58yY2NzexsrICAJ/YrAQ3+pbGRKgJS5FIn8+HV155Bd/73vdQq9Wwvb2NDz74AAaDARsbG/jv//5vJBIJbnLwaZtDK1iEN0OVSgWLxQKz2Yzh4WE899xzeO211wAc6Ie+9dZbyOfzmJ2dxeTkJCqVCvPVP23etoKF5ihwwLUiTit14BoZGUGxWMRHH32EK1euIBKJIB6PMw/610V3WsEi7Cqm1+sxMDCAkydPIhgMolo96DOfTqexuLiI6elpPoiJ//XrnI2jzluFQsEbk1arRV9fH4aGhqDVallMv1AoMN9zd3e3VY7v7UajcbZVLJSFoWJaki6r1WrcyZD4pEe1Vt4P6YQCaBLHpwwTjQHVXLTKp2113tJ6FnaMItk5ivyRGpAIlZeW1jPtc0L++WH1n8P76OeF5WF/PqyKRFhE1C4caQ09DAfte+QACIMX7eI4KhYKUPzPM47lstTqOSQspjzMaW7X+RSLRaFQNKnufBrv+bixHA5eERZh5P4oe/txYRFiIixC6bjj4F//ujUkFAGg730Yx3HYw8bkYfa5Ocg00ajApVQqNYnlk3g6VVYDDyJ7Qi3IT/syrTjINOg6nQ4ajYa1mAGwWH2lUkEymeTOasJI56Hb25Ed5MMYSKPWZDLBYrEgnU5zao1oIOl0GrlcrskxftjEFDsmVDhJB7vJZILT6eSoB21acrmcU/etOl9HxSLsIkfSgNRQBTi4HFBaiYpmft18FbtJ0gWGDjHSf6RUK8ne0SF/lE1LLBbqOkiVwUJtY8pOCFPAR1nDYi52JIdE0S/gAUWAUlkiUsBHdpCFWGgNCR0K+rewwUorJnbePiyrdBjL5+kIfhYuIRaxKenjwPIwbCIzgseOpVXa3Kdh+b80JmKtg6WDpR0sjwqOT7PPzUEmI5F+OthID5HkzA5LHh2nM3jYqMqcDnnSiqTU8VGqdMU6yMLnUpMOIQ6hHuhRDvp2DnchloeNCXGQjsoJbMdZFz6feIpCJ0xY/S/GETwqlsPOxGGaj1C546hRn+N6R+Qgf9r/P24H+dM+52EOmIgDviUHuRVsvylH8FHCIvz8R8VBpgvFcTil7WIBILob6HEf7sflqB8HFrHWwdLB0g6Wz8p8HGfE+Nfh+DT73B3kT3kObw6fp6NxVCytbN6f5w2olQ3z8570rUzQ/5ewtGKPMpbfFA4ck4N8HPYov58Olkcfy6OCo4Olg+X/r1geFRyfZq0W6e0CCLcOp9koZX1E6/68sbRwSXgYlmPBAbSUlv1cxwRoKer0/xSWFuxRx/KbwAE8Olge9fcDdLA86lgeFRxAB0sHy8PtUcfyqOB4qLUUQe5YxzrWsY51rGMd61jH/q9bp1FIxzrWsY51rGMd61jHOiawjoPcsY51rGMd61jHOtaxjgms4yB3rGMd61jHOtaxjnWsYwLrOMgd61jHOtaxjnWsYx3rmMBaUrF4lCQ5HhUsjwqODpYOllaw/AZl3nYbjYbjUcDyKL+fDpZHH8tx4PhNa2a3ax0sHSztYHlUcHyatSrz9mvtuASexYrcP4pYHhUcx4nlOJ71eYuBt2K/DstvAiu9b6D5nYttMNAujsN64dTApMVxaUvSh3TLqfsi/Z3wv/+33hN1x6RxafxP902ZTMaNbVpowS3KhF0PFQoFpFIpfx41/KG219Qco81GL78WD3WClEql0Gg0kPxPl9BisYh8Po96vc7dMltteNOqyWQybuGu0WigUqng8XiQTqeRSCSwv7+PQqEA4BMdU48VB3Uwrdfr/Oeenh6o1WqkUilks1kkk8lPyI5+Huuc5gjNTZlMhkAgAJ1OB6lUimKxiPX1dVSr1SY51s8LC31nmjtutxsymQxWqxUymQyrq6vI5/NNWNptBf0wO3y+SqVSWK1WAIDZbIbRaMTW1hZSqVTT54tpOtMqFolEArPZjP39fSiVSm7VncvlmvZBYQfezwsLcLCWhONE7aBpjkgkEhSLxWPHcXhdymSyJmzUmVf4/7PZrOjPPHYHGWivcxLZcTpxjwIWwtGi7vKx4yAsx/HM4xwXet5v0mGmDfowlod1Jvu8nR6JRNLUEpw+i3BRq2fh338eOGjzo06P9FnU+pr+TOvr88IjdLzUajXkcjlUKhXq9TqKxSJvztVqldtfH8Z0nFhkMhm0Wi0MBgM0Gg2sVivq9TpSqRQKhQIqlQr29/dRLBabdN+Pe47TuOj1etjtdpjNZvj9fuh0Ouzs7GBra4tb16dSKTQE7cGP2+EhLFqtFjabDW63G4ODg+jq6kIikcDMzAySySTy+Tx2dnYAgA90ERetX4uF1pBKpYJarYbT6cT58+fR09OD1dVVbG1tYXd3F6urq6jX6+woH6WlvRgstG/IZDK43W5cvHgRHo8HhUIBoVAIExMTKBQKyGQyjOPzMuH3k8lksNvtuHjxIoaHh5HNZvGTn/wEa2trSCQSAIBKpfK546C1UavV8OSTT+JLX/oSLBYL3nrrLVy+fBnxeBwAPhcn8LDRXl8ul+FyufDyyy/jmWeewebmJn74wx8iHD6459Oc+Tw++3BQpFQqQSKRwGKx4OWXX4bH48G7776LlZUVAEAymfxfwSKRSFCtViGRSKDVauHz+XDixAkkk0lsbGwAAOLx+LE7yA9bk3ThlMlkkMlkcDqd8Hq9PF/j8fhv3kEWOjkymYxbJ5dKJY6kHL4pPszBOG6HiwZNoVCgWq2iUqk0YaEb9MMc13ax0C2dcNDGKJVK+TCXy+Wo1WqoVqv884dvxsdxiNHn05+Bg3FSqVQcWVIqldjf30e5XOafqdVqPEaEpd1xoWcD4AgXORvkDGo0GhSLReRyOY5SUjtssuPAQp9Pf1YoFNBqtTCZTPx3RqMRyWQS0WiUb8mVSuUTEYTjwELjrFAoYDKZ4HK50N/fzy3RZTIZ4vE4pqenoVQqkcvlkMvlmtpwHx6nVk3oCCsUCjidTgSDQfT09LATptVqsb29jWvXrkGlUmFrawuJRKKpNXmlUml77iqVyiYswWAQ/f398Pl8cDgc6OnpgUqlws7ODj766CNIpVLcu3cPsVgMhUKBHYyjtm//LKMoJOEaHR3FyZMn4ff74fP50NfXh1qthr29PUxNTaFcLuPWrVsIh8PIZrN8qBeLxbawUDSWTKPR4IknnsDo6CgCgQC/K3KIl5aWsLu7i5s3b2JxcRGZTIYP9Xw+35YTJpFImt6RXC5HMBhEMBiEz+fD0NAQTp06BeDAkRgfH0coFML8/Dzm5uaanEGKLLeDRaFQNF1qdTodtFotFAoF7HY7BgYG8NRTT8FisSAQCGB6ehrhcBhyuRyJRAK7u7sAgGw2KxoL7fNkdN7QGSOTyaDT6XD27FkMDAzA5/NhZWUFwWAQEokEMzMz/NmZTKbteXsYi9CkUimkUilMJhN6enrw9NNPw+l0IhKJ4MKFCyiVSiiVSgDwiWiyGBNG9oQRbKFPoFQqYbfbcfbsWZw+fRq7u7vo7u6Gz+djR+c4nHWhnyD0TSjzQu9RoVBAp9NhZGQENpsNcrkco6OjSKVSAMDjcxx4AHDgg+YA7f10PtdqNdjtdjzxxBPo6uqCXC7HO++8AwCYmpo6FoedsJB/IlxTNGeAgzNYpVLh4sWLOHnyJBKJBKampgAAt2/fbtthF44Jnfefds4qFAoEAgEMDQ3B7Xazc764uIjNzU3RGNpykGnhy+Vy6HQ6AEBvby9UKhX8fj82Njb4QMjn87zgK5UKDAYDMpkM34oAcFRKLBaKdhmNRgBAf38/lEolAoEAfzbdxGKxGEd79Ho9EokECoUCY6nVak2To1UcGo2GHa2RkREAB2kag8EAo9EIg8GAer2OjY0N3L9/H+l0mg974Y2nWq2KdsBokev1epjNZgDA2NgY9vf3oVar0dvbC6/XC7vdjlKphM3NTXz88cfY2dlBrVbjMSKjqJhYLFKpFDqdjsfl5MmTkMvlsNls6Ovrg81mg9/vR71eRzwex82bN7G9vY1UKoX19XWOZgAHTo8wpdMqFolE0jQuJ06cgMvlwvDwMNxuN1QqFTtg29vb+OijjxCLxRCNRrG0tIRoNMrjQBdBMXNXiIXSeV6vF93d3Th37hyefvppdtzr9TpyuRxmZ2exvb2N+fl5TE9PIxQK8WdT9LJVLIRDp9MxDofDgf7+fjz11FMYGRmBXC6HRqOBVqtFuVzG888/j52dHUxOTuLu3btYWVnh6GShUECpVGr7/QhTnKdOncJTTz2FYDAIg8EAs9nMWM6fP49IJAKn04m7d+9iaWmJDy9K97WDhT4PAOx2O86cOYPz58/D5/PB7XbDbrdDpVKhWCxieHgYGxsbUKlU0Gq1WFpaQj6f5+eJdQZpDZnNZl5DgUAATz75JM6dOwebzYZgMAi73Y5arYZsNguPx4NQKMSO2sLCQpPTJNYZJCwGg4GdZJlMBpPJhNHRUQwNDfEFTyqVolAowGAwQK1WQyaToVKpYG1trSmy3g4WimbR4V0qlVCr1SCXy+FyueByufDMM8/gpZdeQrVaxeTkJM8xu92OQqEAjUYDADx2rWIhHCqVis8RwiHMxHi9Xrz22mt46qmnEAqFkEql+ECXSqVNlBAKUogxOpuF0VAhlUEmk0GpVMJgMOD555/H008/jeXlZcTjcWxubnIQBzi4ILaLRehc0TkipCWRQ+r3+/Haa69BrVZzQKBYLPLvEpZ26X20DoTnK70nCirp9Xq89NJLGBsbg9lsxo0bN5rORLVazYG3drDQd3uYQ0r7rlwuh9vtxp/+6Z/i+eefx/3795v2ebPZjFQq1fZFk7A8zO8Q/n+r1YrvfOc7+KM/+iMkk0lsbW1he3sbABAMBhEOh0VfwA/j+CxTqVQYHBzEX/7lX8LhcKBarSIajQI4OMPu3Lkj+lIl2kGWSCQwGo2wWq1wOBzwer0ADl6S2WzGwMAAXC4X0uk08vk8VlZWUC6XUalUsLm5CaPRiFu3biGfz/OhWi6XmS/XKha9Xg+LxQKPx4NgMAgA6OrqgtfrRW9vLwKBAPL5PLRaLWKxGNLpNGZmZhAKhaBUKjExMYFsNsuHarFYbDlFQJu0yWRCd3c3hoaGAADDw8MIBoPscNRqNTidTmQyGWQyGbz11ltYXV1FrVbDBx98wI47AORyOVGTjLAYjUb09fXhxIkTAIDx8XGMjIzAaDSip6cHjUYDFouFLwgTExNYXl5GMpnEhx9+CL1ej1wuBwBIp9OinHU6NDQaDXp7ezE4OAgAeOKJJ/DYY4/BbrfD5XJhf38fVqsV6XQa+/v7cLvdWF1dRTQaZeeNIk70M2LGhQ6qrq4uDA8PAwCeeeYZnDlzBj6fDzqdDoVCATabDeVyGQ6HAwqFAhsbG9jc3ESpVIJcLkc6nQaAprR1q0YHg91uh9/vBwCMjo5idHQUp0+fRjAYRD6f5wiCTqfjd6ZQKJBIJFCpVHjTFkbbW3lPdHiZzWZey93d3ejp6YHP52MngtaFXq+Hw+GARCJBb28v4vE4crkc46jVak2HYCtGWAwGAzvITqcTarUaKpWqiSuZyWSgVquhVCo53ReLxZBMJrG3twcATLsQc7kjLEJnfXh4GEajkSOU1WoV+Xweu7u7TYe41+tFLBZDIpFoivDT5U4MFplMBo1GwwGJJ554AoODg+x8lkoljobSwa3RaODxeODxeLC9vc37CWERE+2nA4y4kAD4LLBardDpdNDpdKhUKojFYiiVShytdLlccDqd2N7e5oOrVqu1jYWylsBBREmtVvPnDQ0N4fTp01Cr1QiFQrym1Go1FAoF/5mwVCqVli+ahEOlUjEOmj9yuRxqtRpmsxkXLlzA+Pg4KpUKQqEQtra2sLe3h0qlwmMKHDhfD8tYtYJFqVTyGFOklPZAjUYDm82GCxcuoLe3Fzs7O7h06RJu3ryJvb09VKtVziip1WrOwoq9OFAml/6OjNY6pcjpPd2+fRvvv/8+lpeXUS6Xm5x1WtNisABgPvjhv6fnA+Csw9mzZ5FOpxEKhTA3N9cUqFGpVFCpVKIzZuSoP2wvoHe1v78PlUqFvr4+fPWrX8WJEyewt7eHUCiExcVF9lMUCgWf12KdZIrW0ucLjTK8MpkMBoMBFy9exKuvvgqj0YhcLoe1tbWmCLbD4cDOzo4o/4Xm6lHwOhwOvP7663j55Zchk8nw/vvvNznXgUAAoVBIFI62HOSenh709fXBYDDg3LlzAACPxwOHw8GLsl6vo1KpQKfToaurC5VKBV1dXZDJZIhGo4hEInyofhr14ijm9XoxNDQEh8OBp556iv/O7XajVCqhWq0il8uhUCggl8tBLpfD6XTCaDSiVqthc3MTGxsbjFssFrvdzg7xM88804SjUChgb28P6XQa6XQa5XIZ5XIZer0e/f39KBQKHEEVRr+EBUitmMFgwPDwME6dOtX0fpxOJ/b39xEKhZDL5ZjSQBEGj8cDpVIJn8+HarXKk15IG2nFGo0G1Go1uru7MTY2hsceewwA+BIlkUgQDocRi8WgUqmY6lGpVKDX62Eymfg9CiNxYorVKM1ptVrR39+P3t5eAAeHOzm9i4uLSKfTUCqVkMvlyGQyHFVQqVRwOBzIZrN8caBDUGwEmTisFKGkDTeVSmFiYgKlUgmZTAZyuRyFQgEejwflchkSiQR2ux17e3uMRZg6bBWHUqlsKuaqVqsolUpIpVKYnJxEpVLB0tIS/+zJkyf5wmSxWGAymZpwCFOqrRphIdvf30e1WkUymcTs7CwAYGFhgS8NQ0ND/B5sNhvMZjNjyeVybWEhrjNFGCntmUgkOLJFe4dGo0FXVxe0Wi30ej08Hg8ikUgTFrlcLjorJJwD9Lzd3V2+0MXjcYTDYWQyGUgkEng8HtjtdjgcDnR1dWFzc5MP1EKhALlcLjq6IowMAwdOlEQiwfr6OoxGI/R6Pe7fv8/7jN1uRyAQgMPhgNvtRiQS4c8uFotMYWrVyJEoFApNDp1Wq4VSqYTD4cCpU6dgs9mwtbWF27dvI5PJoKenhw93s9nMWMrlMl9IW8VB30VIH6M17na7MTQ0hK985StwOp2YmJhgOg4ADuDQ3k+OUTv0BnK6gQcUB6VSCYvFAqPRiBMnTuAP//APYbfbce3aNVy/fp0zv3a7nS8N9XodarVaVBRZ6OgdplnI5XLo9XpoNBooFAp8+9vfxje/+U1sb2/j/fffx4cffojd3V2YzWa+OBAWYe1Dq1iE4ymMHhOdQSKRYGBgAH/wB3+AwcFB3Lp1C7/4xS8wMzPT5FwT5aler4vOrn5acSjhkcvlMJlMeP311/Fbv/VbiEaj+MEPfoD33nsPUqmU/SeiSqpUKj7LW8XzWfOM5rRcLsfw8DD+9m//FjKZDP/+7/+O9957D5VKhS8PhUIBKpWqyWFv5V191s/SHJJIJDCZTPirv/orPP7445iZmcHi4iKmp6c5Cx+JRDh4mk6nmRlwVOvoIHesYx3rWMc61rGOdaxjAmsrggw8uLX4fD7+e0or3r17F7Ozs8jn89DpdBgcHMTQ0BCsVitzn4i/CRw9rP5pWAqFAmQyGUfiyuUy1tfXkU6nMTU1hZs3b6JQKECr1WJwcBADAwPQ6/Wc/srn800RZLFG0SK6fSeTSY70zM/P48aNGzwmAwMD6O/v53StVCpFJpPhKI/YiDr9rpB7DQDRaBS5XA7b29tYXFzErVu3eEz6+vrQ29sLk8kEuVyORqPRRPcA2pO6o0g+fbdYLAalUol4PI6PP/4YExMTPC6BQAC9vb0wm838LtLpNGNpZ1yAB0UnRNnY3NyESqVCKpXCzMwMFhYWOJLk8Xjg9/thsVhQq9UgkUiQy+WaKDjtcPMID0XHE4kEy2Ilk0mkUinEYjEu3vN4PLDZbKhUKhw5E2YcxBQwCjmTFJEwGo2QSCRc5KZWq7G8vAylUsmZF5vNxtJDRB0AHqTjxLwjigTv7+/z96pUKkgmk7h79y7cbjdMJhMikQiq1So0Gg2q1SqcTidHeolq0i4W4kUK6yOy2SwikQi2t7fR19eHQCCAQqHAygyUCWo0Ghz5EkapxHI5KYMh3JtIaaDRaOD06dM4e/YsCoUCkskkU6KIBmG326HX65uKX9rBQpJKxOUkWsfOzg4sFgvGx8exurqKXC6HcDiMSqXC84SiOkSDoYIgMZFSwiDkuBYKBV6rlUoFFy5cgEKhQDgcxtzcHDQaDWQyGUqlEhwOB8rlMu/b+XweyWRSNK1B+H6EtAm9Xo8/+ZM/wcjICBqNBj744AOsrKygWq1Cp9Ohr68PhUKhqdA1k8mI5nEexiJMnUulUly4cAFf//rX8YUvfAH3799HNBqFUqlkbr/dbueIfCKRYKm1Vvfew/xjwkD/rtfrMJvN+PKXv4w///M/R71eRzgcZv62UqmE1WrlDE46neb6Bvp+R8UjxHJ43hMWpVKJvr4+fPe738Vjjz0GmUzGdTDVahUWi4VpGIVCgYuTKXvXynr6rN+hbKfRaMSzzz6L5557Dk6nE/fu3cP777+PnZ0dOBwOaLVaAAfzhea9mD1PqOD0MCPFCIfDga997WsYGBjAvXv38NOf/hTr6+twu91NkfVSqYRKpcL7w1HH5de9U5q/er0er776Kr7xjW9gb28P//RP/4Tp6emmPY5q34iiI1QUOoqJdpDr9ToikQj8fj9efPFF5k+Gw2EsLS1hY2MD6+vryOfzvPGQ1I/b7WYaxmFtQ7Epiu3tbbjdbpw7dw4Ox0Efgt3dXYTDYWxtbSEUCjG9AjhYZMvLy3C73eyoCxUAxByojUYDiUQCdrsd3d3d/JL29/cRi8WwtbXFmo7ClGs4HObCMOGCA8QrJFDRS7lchlarZUeQUjKbm5tYWFhoGpNSqYTt7W1emOQEClPuYp1Scp729/ebuKG7u7sIhUJ8kRJKLaVSKZ7U5ASSAya2QA8Ap8N2d3ebvk82m0U2m8X09DRqtRoXTprNZmSzWSiVStZwPS4sxF/e29vjtSCTyVCtVmG327G+vg4A2NraYtk3o9HICiTkRNI7EsuFo2eRcggAbG9vs9OSzWah0WiwtbXFab9SqYRCocC/SzQIwiE2LdxoNFi6jdYQHdS5XA7ZbBYqlQrLy8uQSCTo7u5mDitRRIRFk+1iIZk0OhQbjQZTboi6NT09jVQqBbfbDY/HwxewSqXStK+0i4XWNBXD0KWKeNhWqxVzc3OIRqMwGAzo7e3lQ4Ew0Zwvl8uinS9akwqFgsdFIpFgZ2cHlUoF8Xgc0WgUH330ERYXF1Gr1T6x5xMmAE1zWAwWmvc0T2gOEbdYrVZjenoaly9fxuzsLAYHB1k3mlLm9PlCBZRWcdBeIJwrVGhttVoxNjYGpVKJW7du4ebNm0gkEqjX63A6ndDpdE0a0YSjVSeQjObdYa1YcjpffPFFPPPMMygWi/iXf/kXvP/++8jlcnzxEVL9stksr0eiKbSCR6jUJBwvcixPnz6N733vezCbzfjoo4/w4x//GLOzs1zv0Wg0eFyEdTmt4qC18LA9knjSQ0ND+L3f+z2cP38eyWQSV65cwfXr11GpVHh+USAtm82KxgJ8utNINLbz58/j+eefx5kzZ1Cv13Ht2jVcu3YN9XodBoMBUqmUsWQymSZaUKtBvs86N2QyGbq7u3HixAmcOHECJ0+exI0bNzAxMYF6vQ6bzcYCCMBBUJD8GJovR7XPGkOiVfh8Puj1epw9exYTExPY3NxEMpmEy+ViHwoA9vb2+KJFDn4rJtpBbjQaSKfTSCaTcDqdTU7wxsYGdnZ2UK/XuZiECmsA8MKTy+UcORAOgBgnjIpk5HI5y4skk0mEw2EW9qabllarZTm6RqPRVFDRbrMBKpJJpVKslSiXy7GxscHRAeGYkE4nTS4hX6sdHADY4YnFYryIdTod0uk0H1TCMaHCFrlc3lT1fxy6qbVaDaVSCclkkrHIZDKOSpTL5aZxIe1SctTpABRy28UaHWSkCwscvPt4PM4V9jQ3KVJGVcQU3SfM9N3aiWjT2JCzQ3NILpez7B5FDklFQqFQcAEscYXpWWKNxlTowGSzWSgUCnYQtVotZ1xorpDTWi6XOarejnwYceeE2rR0UdPpdMjlciy5RIeaSqXiuUKbIv0uzd92DrBarcb7CkkCmkwmxGIxXrv0OeQcZbNZxGIxvngBzUoCYrHU63Xm+lWrVX4fe3t7WFhYQDweRyqVYl5ntVpFIpHA5uYmMpkMF5cK9xsxwQD6N+39tI8Rn/fevXtYWlrC1tYWLBYLZDIZyuUyMpkMdnd3m8aF9KLF1BUIMdH8o7lBUfObN2/i7bffxt27d5lLSZf2YrGIbDbbJDl3GMtRxudw5Bh4EMU1m83o7u7mM+mNN95AtVrlQjxqWHI4kk2HujAq2OqY0HqmDK1Go8HAwADOnz8PqVSKS5cu4fLly0ilUlCr1dDr9VAqlU31J4SFIp5SqbSlNU5jI4wwkhMYDAbxF3/xF/D7/VhbW8NPf/pTzM3NcbSWeNy0xwmjpKRUIpa7LsRHWL7zne/gzJkz2N/fx927d3H16lWkUiku0qULD2ERviPaK9sxwtLT08NFeXq9HgsLC7h8+TISiQScTidfmGm+0BqisVYqlceiRaxUKuF0OvE7v/M7OHnyJNRqNba3t/Gzn/0MsViMuerJZLKppkC4t4jh9AvHAwCzA15++WX09/dzDcjbb7+NSD2IIOIAACAASURBVCQCmUyGrq4u7OzscBY0n883zVdh0epRrC2ZN7lczgcmHe7Ly8uIRCK82UgkErhcLi4U2dzcxOLiYpOSABkVZok55Elfkpws4IBOQLQJcv4cDgccDgcsFgvi8TiWlpZ4wFwuV1PUSQwWqjLXarWMhTYe4KAav1qtIhgMwuVywWw2Y29vD+FwGHt7e6zkQJjE4iAsFO0jR5gKqsrlMqRSKRKJBI+JyWRCNpvFzs4ONjc3US6XYTAYmhyNdrDQZUgY0aCbp9frRaFQgMvl4vdTKpWws7ODtbU15PN5jpLRuIgtjKOoEfCg8ECYDnc4HIzNbDbD6XSy7B1Rdsh5Bh44yGJMmO6jC6RCoYDD4YDT6URPTw8X1Wi1Wn53W1tbmJ+f57Q+Wau3dTLayA6noHQ6HSwWC9xuN/R6PWdcSBowGo0iFAqxOoLQoRQ7JoSFIv0AWI5Rp9Mx9WNwcJCbURiNRuTzedy/f59F6mkNtdtwgcaEDmhyPqkAZWFhgdU8Tp06hcHBQVaU2N7eZjnLdrHQ+xE6LhQ1VavVWFtbw9raGorFIrxeL6xWK6xWK3w+HyQSCe7du9dEUxJ7YNHn0jPI0aBoZSaTwdLSEkeyKQiwv78Pm80Gk8mEra0tZLNZPjcOd/kTMy7C36csGGlTv/fee5icnEQ2m4VEIkEkEkEgEIDb7cbKykrTBVXoFLeC5zCFgYz2G51Oh6WlJdy4cYP1qUlNwuv1sqrI4c5+YrOZD8NCl+zTp09DIpFgZWUFV65cwe7uLq8ZnU7H2TJysITPazVNLfxd4Z5AWJ599lk4nU6kUim88847+OCDD7CxscH0AqJMCjWHhVQyMWfAYedYKj3omvetb30L58+fZ5WVGzdu4N69e5BIDpSY7HZ7k0NOqg8UoWxnTQEP5kpfXx++853v4Itf/CK8Xi9KpRJ+9atf4er/x957Bcd5X2fjz/beC3YXWPQOopCAJIo0JYu0RNmSKVtmxh6Nk9iJx+NMynVu41uP7zyTmdQZ23Emn+XElsyouFAyLYokWECCBNHLAgtgge29Yr8L6By8C5Iy9l0w4f/775nRyKaA3Yfv+yunPOc5H37IP9PY2Mi0EwDs/BGWWh11UoYZHh7G888/j9deew3d3d1IJpP4yU9+gvfeew/Anv65VqtlLXFq/KeqVS160RQwDA8P49VXX8WpU6fQ2NiIW7du4caNG6wDvbOzg+7ubphMJj779Xo9S5+KkcytiYMskUiYy0pGJQriTJKD4XA4IJfLsb29jUgkwpJAyWSSnUepVFoxOrFaC4VC8Pl8FUL63d3dFdGv2+1m7c5Lly4hFApBqVTCZrNxtgzYK6NWi6VUKiEcDiMSifDiLZfL8Hg8XJLt7u5Ga2srjz79+OOPGYfJZEI8Hq/oPBaDAwCXOuPxOOx2OwAwx4xkdUqlEtrb2zlLeufOHS5hazSaB8pi+zP+B7VcLodgMAi3282RuNFoREtLC6tm5PN5dHR0QC6Xw2AwYGlpCdlsFiqVquK90L8Jf7VGmXWLxcJ/N7VaDZfLxbxnhUKB9vZ2SCS7EoJEF6JOfSFfkhwDMRcZUQH0en3FOye1jNbWVtjtdrS3t3MQuLKywvuGSsPkYFAAUi0WYSlXKIWkVCpZDs9gMKC/v5+d1NXVVVbXIL6ZULZLLPeXnqsws0l/1tDQwO+tq6sL7e3t6OzsRCKRYFULogYJM/xiM5NCLPSMC4UCX97093M6nXjmmWdw9OhR6PV6bGxsIJFIMIdfmFkXi0XoMBEuclDpHQC7Z3BHRwf6+/vR+omUYywWQzQaZSUfwiJWrUf488KgiKo8lMGRy+WwWCwwm82w2+1cNSKHVPhchAos1ZbN6d/C/00UF6IB0b1QLpdhMpl4sEipVKqQ9dxfpq6likffJ5VK0dDQwBm/UqkEjUYDi8UCjUbDAWc4HH5oMHUYOMg0Gg3OnDkDiUSC6elprKyssCa8SqWC0+mE2WyuUBkhas7+QKRW0+v1+NrXvgaZTIZ79+7hnXfeQTweZ56vwWCA1+uF3++vqGwJz5Va+z/ojtNqtfjiF78Iq9WKdDqNDz/8EPPz85yYoV4rqo4TFqHTJRYLnf1qtRo6nQ5erxevv/46nE4n5HI5pqencf36da5syuVyOBwOxOPxCixUaa02uHsYFoPBgK6uLjz//PP4i7/4C9hsNqhUKly/fh2XLl2qWJNarRb5fL6iZ4QqrZTsEItDo9Hg6aefxvnz5/HGG29wgLK2toaPPvoIwB6dqFAoYGtrix31eDzO9CAxz6SmDLLRaER3dzeUSiULM6vValgsFjQ1NUGr1SIUCvEBmUql0NDQgHK5DK/Xi87OTjidTnYk19fXufxfLdGdmgq2trb4AjCZTLDb7WhtbYXBYMDq6iqsViuMRiMymQycTidyuRzMZjPa29tx//593LlzB8Aul5rS8wd9qCT5otPpsLi4yKMxKfvW2NgIl8sFv9/P5PpsNgu73Y5EIgGpVAqn04mpqSnObK6vr7OkVzUvV1h6Xlpa4oOO+N8ulwuNjY2IxWK8CfP5PG86KsMZDAb+3q2trQoeWjVYKOPq9/t54Tc0NKC7uxtOp5O5Q9RoRRldt9uNTCYDs9nM9Adglz5DQU+1WChrGwqF+NIUaqZ6PB5IpVLO1hYKBZbsIk5nLpfjjBNtwGpN6BAkk0nO8ofDYfT19cFsNnP1Ra/Xs+4vHY4dHR1M56GyvthGJyFfnp5nNBpFY2Mj62s6HA7mSYZCIW62am5uxtLSUkVWXWzDrdCEWfVMJgOLxcLlOgomqcmTqDok1yfMYNfa6ArsBWQAOMsG7Gmyms1mOBwOpNNpnhBHZer9mZxasQB7l0epVIJKpeIMZSaTgVqthsfj4d4KYI/ORM4imdjmRaEJm3BUKhWMRiNPoFSr1fB6vXA6nbBarfwOCYuQ0lbrxQ7sVYSoWdPtdqOrqwvr6+tcmZHJZOjv74fb7YZcLsfMzMwDevP7HUKxOMgR7unpwVNPPYVQKISdnR243W6eYEcyjyRPJcymk/NVy5oRYlGr1TylLpVKIRQKwWQyYXBwkAMYkrsUas0/DiwqlYqHEBH9TqlUoquri+cJEEVoamqK99FhYAH2JnVSk+Drr7+O7u5u5HI5zMzMYHJyEuVyGY2NjazDbjAYMDs7W5HlPwwsdPYrlUoMDQ3hK1/5CgsfzM3N4Sc/+QlWVlZgsVjgcDhgNBrh9Xrx0UcfMU2JekBqxaLX6wHsVg97e3sxMjICs9mMdDqNa9eu4R/+4R+wtLTEMm5OpxMDAwMVQ1SEU5TFYqE7jTSgn332WWg0GmxubuKDDz7AL37xC66garVaOJ1OjI6O4ubNmxVyc6QHLwZHVQ6y8KKhrmHittGFQWUUi8XCTUU6nY4v+Vwux9OnHA5HxehVysxQGfugHdZ0WYTDYW68I6NJfRLJ7mATuuzlcjkf3GazGS6XqyJLFIvFmJd6UB0/cgoSiQTW1tbQ2toKYPclUfNeoVBgvU/iDlqtVhgMBnZ8aAgC4ZBIJHzBHfRCo3eVyWT4u4FdRywSiXBTDPET6b9TeYe6Pnd2dtgRFPJ5iGN0UCyUWRI2/WWzWdaFJg1d0v4krE6nE0qlkp1QId+KIn9yAg66AfZnXYHdtUdqI5RlI/F+ylTTABylUsmOEACmqwCoeqrS/vI0AG78oncViUQwPz/PWGjgAjnIkUikolQtbJQ7iAkbbyiwEj4XehbUUArsORAOhwNNTU1obGxEMBhkHLR/6TKr1midUQBD2exSqcR7Z21tDalUijORDQ0NsNlsPKhCOGynlnLsfiwSiYQHc+h0Oh7JDewGtH6/n/sctFotNBoNJwEo+1sLPYhK0/R5VquVJ/mR89XS0gKz2Yy1tTXmSFOpUhhMAdVTCYTPRPhcSqUS3G43Ojo6YDQaEQwGYbfb0dfXB5vN9oDeukajYSeFLnaxwQwN3BF29Dc3N2NsbAytra0olUowmUyw2Ww8AEKpVLJeNNEK6HfFZtb348hms+jq6sKZM2eg1WqxurrKUxltNht6enq4/Ds3N8d302EYObu0VrLZLHp7e/HFL34RuVwOc3NzSCaT6OrqQktLCxwOB6LRKPL5PG7cuAGdTie6QfBRWGjtZbNZdHd348tf/jIKhQJWV1eRTCbR3t7OCRPar3fv3uWmZKC2/hMhFvJZcrkczp49i1dffRXZbBb37t3DjRs3eDLnyZMn+Vn4/X7WgwZqa1wXYqH1IpPJ8PnPfx7Hjh1DMpnEpUuX8N5772F8fBxqtRrnzp3jNUJ9IYfRRE/fTVVKYLcS1dbWBqvVimAwiLfeegtvvvkmlpaWoFarcfr0aaZwmc1mTE5OVlBDxWKhO46eCQ1dSqVS2NzcxL/8y7/g5z//OdbW1iCTyXD8+HE0NDSgv78fDQ0NWF5e5sCu1imHVe1E4RcVi0WEQiFMT0/jueee4+l1q6urWF9fh06nw8bGBot8JxIJdHZ2oqWlBdFolBsXOjo6eLEFAgHMz8+zE3XQv1ipVOKyVS6X48sqGo0iEAiw80JjGEnoWqPRcCMYZVvpd0ngnySuDoKFvp/4P8Sdikaj2NraYueZRosWCgUMDAwgk8mwMgHJW5H4vtFoxPb2NuM4qNFFTLxuOuiCwSB3mFK5j7I57e3tyOfzaGhogNFoZOoJOfqrq6vMk67mkBI2MdA0JgDY3t5myTtqHiJnrLm5GVKpFC0tLbBYLDzchN5lJBLB6upq1eLswhKhsEs7GAxyMwYR/UlJw+VysSRfc3MzWltbmfcJ7JZxNjc3q1Zh2c8PpAxJPB7H+Pg4EokEpqamsLW1xeUjGsDQ19eH4eFhfP7zn+dDFgDztqvlCAqpNHTgkixWoVDgKUn0XXQ4d3Z24plnnsGpU6e4dE444vG4qMOJnBNhhl2hULA8IcnK2Ww2bGxsYGVlhWkqAwMDaG5u5sAW2JM/EmPkCAovdxoCQmXzhoYGtLW1oVwuY2FhAdFoFPF4nPsz9Ho9N8YJ+cNisVD2HNgtP7a2tqKlpQW9vb3weDzweDxQqVQcrKysrGB9fR3A7nlC/SGUyRVD+SAsWq0WNpuNn8vRo0fR29uL1tZWrogJmyhjsRg3Nur1+oqgI5FIiF4vNN2LsCiVSrz44os4fvw4mpqa2OGSy+Ww2+1oa2tDqVTC4uIi94wIscRiMVHPhMZtE41MIpHgpZdewujoKFc0u7u7uVm79ZNx9qFQiDGQQyuRSLiRWGwAQ3Q6srNnz2JoaIjPE4/HA7PZzDzopqYmJBIJ3Lt3r2JiI0md1UIhMJlMnJ0sFAp48cUX0dfXx6OB8/k8RkZGYLVa0dDQgJ2dHSQSCczOzkKpVDIWuVxeExZSQiAsEokEY2NjaGhoQCqVwtzcHDY3N3H8+HHY7XYePBYMBrkCSs4bybLW0hxNZzqwS2swmUxQqVTY2trCxMQEwuEwjh49CpfLhS996Us8gfHmzZsoFAoV1CGxFUQyk8nE648q/xqNBgsLC7h+/ToKhQKOHDkCm82Gr33ta0wLWlxcRDQarQh4D5rgfBQOeiZURS0Wi7h69SpX2IeHh6FUKnH+/HmuKE9MTGB9fZ3vQ6Kniq4Eifot+uVP+GXCrkE65CYmJnDkyBF20AKBANLpNJaWlpj3KpPJOGsMAKdPn8alS5c4w1AtFpPJhHK5jOvXrwPYyx4nk0kcOXIE4XCYs4I03cnlcqGrqwuhUAibm5t8efT39/P0sKpI3Z9ciGq1GhMTEwDAnba5XA4dHR3Y2triLO6tW7dQLBYxNDSEgYEBrK2tYXt7m0sEFotFNPmfRqgqlUrMzMxUYKTggRzTaDTKzs+pU6dw7NgxmM1mNDY2ctaQFqyYjKBCoeDuf7/fDwAsJxSLxbC6usryd3QpUJR6/PhxtLW18fMBwJtYzGFAEl0KhYK5Smq1GuFwGMlkkp0IUocgWaTTp0/j3Llz8Hq9GBoawtzcHAA8kJGrxoiWQM4DsMeRFsr30OeTc7i5uYmmpiaMjIxgYGAAd+/e5c8Dqs+y0PsRZuSFlBYKtmivkhxcJBJBf38/Ojs70dfXh+npaQB7mU4xByStWyHHnMaxUkWEmuDy+TxWVlZQLBZhNBrR1tbGXHJaK6STK2bdEjefml2BvZHKJpOJR3OXy2Xur0in06ycQ0EylQKz2azo7nLiZNKYawDcGGi323H06FF0dnZiZ2eHuc/UDA3sXjQymYypXyQBSY1r1ZxzJH/odDrZWe/t7cWpU6dgs9ng9XphNpuZY09nC2W8W1pasLOzg83NTQBgGhNVzKrBQk2spOEOAK2trXjhhRfQ0dHB0zip0ZMmqG5vb/NEze3tbayurjIWksasBotcLofRaERXVxefT5RB93q9kEqlFVlzm80Gg8HAwVRrayvm5uYqMtkajYZL6NUYOXFer5fPJ+I8k8oI/Yzwvs1ms5wMuHv3LmOhyp6Ye4gCTKvVyncI0RU0Gg2r8Wg0GqTTae7zoCCip6cHly5d4v1HI7BrqUxptVremwaDgZNyiUQCOzs7aGtrg0wmg91uh1KpZMUXl8vFKkcAmA8stvmWaJkUUNntdqZBUaKjp6cHJpMJzc3NvB5IsSsej/OZLJSeFItFLpfD4/EA2J1063K5YDabudl2YGAAra2taG5uht1ux9LSEubn53m8/X4sYp11qVSKzs5OAMAzzzzDsyICgQCzEJ555hk0NjbC6/UiFothZmYGoVAIGxsbFTjESp8CNTrIqVQKi4uLyGazTGtwuVzseND89qWlJQSDQayuriKbzfLYzc985jN47bXXMDY2BmC3LNvV1cUXWzWWyWSwtbWFO3fuwGg0Ath16KizkkrUMzMziEajiEQinMVub29Hd3c3Pve5z6GjowMA4PP58NFHH/FlclCjDDJleoDdl6TT6RAOh5mTSCWlVCoFuVyOlZUVLC8vo6mpCSdOnMDLL78MALh27Rr8fj87SdViocuJMpVUQg+Hw5iZmUGxWORGPtINpSz3c889h7GxMd4wyWQS6+vrojJglHWmLAuwRysgh5iGVAiVRygK9Xg86O/v57/H7OwsNjY2+OCqxoQDJITUCKlUikQiwQL91NVNQdzFixdZWWJwcJA/Z2lpCYFAQFQ5R8iz3a+KIaQIUHcyNXndvXsXU1NTHFidOnUKwG6Jn4LAao0OSHKohMLx5XKZnwVJY0mlUqyvryORSECn0/E+Anad+lQqJfpCpQw9ZUdIZk+YKadqw/r6OgeRpAJDNC76WVJgqfb90N6lkjiw6yCbTCaYTCYO8tPpNHw+HxYWFpj3ptVquRJD2uzlcvmBITMHNY1GA6fTCa/Xi66uLgC7Tm9zczMH5URdAHapXTR4x+l08jnQ3NwMYHdQTyqVEpW5Je754OAg+vv7AewG893d3dBqtXA4HBXvj56/2+1GIpGAy+VCIpHg9eL3+5FMJhGLxarGotPp4PF4MDQ0hIaGBgBguprb7YbFYmGKlkKhYPqL2WxmzrZareYqKCV8qq2AqNVqGI1GliAE9kq81GtDMnepVIqbj4kOFI1GkcvlKjKCVHWs1ijIBPYGVyWTSWxvb3NlQ6FQYGFhAZFIBF6vF4ODg7z3/X5/hWwXOZZijAJUktYEwHxn8hEymQympqYQDAbR3t6Ovr4+ru7Ozc0hEAjwntnfOC4GC903wK4jSCoMJPGXTqexvLwMq9WK4eFh9hUmJiYqsFBSoRYsQlWlp556CsPDwyy1StTUzc1NrK2twWAwIJ/Pw2Kx4Gc/+xkCgQA7f8KBRNUavV+VSsVj7F9//XX09fUx1c/tdnPgoNPp4Ha7kUqlYDAY8PbbbyMQCPAdplKpRK1buoMMBgMGBwcBAG+88QacTifm5uYQi8XgcrkwMDCAjo4OWK1WeL1eRCIR+Hw+vPPOO4hEIhXVPlr/YqwmB5malQKBQIUuJ5nBYECpVEIwGGQnmagTsVgMDoejQiBeIpGgublZ1IKjCzwWi7Ez6XK5kM1mYTAY+PDNZDKs20rapslkkhvXqByl1+uZl1uNEb+VvgdARTmUhkKQ00PasYlEAul0Gm63G319fVzCiUQionDQMyHuNJXvaeGQwHg4HOZyIg1YoCzgM888g4aGBj40aSa9mACGHEFqBiQs1PyUy+V4WhNlD4gnp9fr8corr7DDAezK5RkMBs4AV/tcKENNDpxSqeTggfR3s9lsRTOU3+/H5cuXcfr0abS2tnIWj8pBxHWt9rmQUgZF25RB0el0PMyBnHSiHcTjcSwsLCAQCMDr9bJTZDKZoNPpKnR5D4pDKpWyE0g4hFMmE4kEstksH+r070KhwAof9ExIoUZIqTmolcu7CjJEFQDAkyapT4DoFsBeFoaaOinrS3uooaGB11S1wR2tk/b2dpakNBqN8Hg8SCaTPMVvbW0NyWSSlXtIrUaj0SCVSlVw/EkLXEzQSxPXnnrqKcbS2dmJjY0NztoIO+KNRiPUajVaWlp4+h+9D5pkRwozBzUhlYAcK2D3TGlra0MkEmE6EGUdKehUKpXweDzY3t7mCxkAzGYzn8v7pQv/EBaVSsU0LHpHdJZSxzs5FsViEdvb26xiQ2ekzWZjh4loGPF4nO+1g+BQq9XQarV8lgC7DrLZbGaKmcPh4HeVSCQwPT0Ng8GAXC7Hje7CqZik+010mWqwUJZV+HkKhYKDb2qcp6rR8vIy89hnZ2e5KZh+lygq1ZwrxHvfn9mkZk5qlrZYLEz9i0Qi3FS5s7ODq1evVmhmk6atmAZtpVLJz4CsoaEBOp0OhUIBgUAAFosFq6uryGQySKfT7BDHYjFcuXIFiUSiwlkX27hO1CPKpgNAZ2cnJ422t7fh8XgQjUY5uAuFQlhaWsLy8jKmp6crVL+EPVTVGD0XOkMpgCYVJ7/fD5/PB4/HwypblEjz+/0IBALw+/0PrNFqsdC6NRgMcLvdHHhT1n5paQlra2ucFKDzg9QzqNFTSPUTKv6IsZodZGrCISfK5/Mhl8tBo9EgGo0ikUggHA5zmpvKbJQZNBgMHPWHw2H4fD5RkSotTurUBcDleuK2hsPhikwfYaEFTioGAHjEr1iJtZ2dHY7ggd0MNwUIhIsOGooeqQQndFRIYYKm7FVr5FDRMyGeszAooW5yUgggVRCVSlVRwqHJPcLGgGqMyqz09yUHjDIJVG4TRsTUAEXlfJrCR1ODxLwfOhCEmtmUVSFHkVQjKGNLB9ng4CCcTicymQyWl5cB7GaQiX5Q7XOhhh6bzcbPWa/XQyaTcYncbDYzD5kyTna7HSdPnoTX64VMJuPLg0pQ1QaZxOF0uVzsbKvVam7EpSxkJpNhh95qtaK/vx/Hjh2D0WjE1tYWH0zCsbTVmhALlR6p3EncfdrPxWIRjY2N6OjowNjYGD772c8iHA5jbm6Oz5FalBqIumW1WjnbSY7h9vY2NBoNB+c6nQ4ulwttbW1wOBxoaGjA2toabt++DYvFAmCPPiNshDyo0Vqgqhew6+S63W5eF4SX3iE5yOFwmN/H0NAQgF3NelLgqMZBpqCWghB6R9QASKNe0+k0j5amMdRqtZpLsQ6Hgx1kmUyGjY0NmEymqhxkauwjzV76PJIClEh2R6VTIy1l4kiKbmVlBVtbW8xhB/ayvrQfq8FRKBQQi8W46uZ2uzlIoMCio6MDwWCwojF4cXERq6urFRl0+p1qzxTqKSiVSkwrAcCUIApApVIpTp48CavVCqfTiUgkgpmZGSwvL2NmZoYxApV9JNVioeco7MvxeDy8Nj0eDwqFAr70pS+x0gn1YWxubmJqaoqbB4XPuto9TXc+rQnCQqoQFosFIyMjTBuj8y8ej+Py5cuYmprC4uJihbCAsKelWixEayPaHABuuNXr9axiQTMBqEJ++fJl3Lx5k/tkxGIQYhE27wrvX7PZjN7eXjgcDubuU6Dwgx/8AD6fj6vywuSQGCzlcpn7OyiAJDwajQb9/f1wOp1oampCb28vgsEgfvrTn+LChQvI5XLcd0KV1sOwmhxkuvxoIwK7m4Aiv/X1db4o6ee1Wi1KpRJGR0fxyiuvYHR0lB2mpaUlTE9PiyoPCy9DoRyMSqWCUqnE+vr6AyUjrVaLYrGIkZERvPjii+jt7eX/vrGxwc5+tTjowBYuGGp4iEajfFnQz1P0ePbsWbz00kvo6enhyH19fR3BYFCU6LcQC13IwiYA4vzS+yGemEajwZ/92Z9hcHCQR9cCuxeq8KCqxsgRJucU2I0MbTYbN2NQ8yYNOHG73XA6nfjOd77Dkny3bt0CACwsLDwgzVQNFiqrkpPc2dkJvV6PcDjMGSah8+7xeDA8PIy//Mu/hEajwfr6On77298CAFM9xARSSqUSRqMRDoeDHY2+vj6Uy2X4/X6mD9BFRxH+Cy+8gPPnzyOXy2FxcRE3btwAAF7j1WayicdJZTQA8Hq9SKVS8Pl8XBYmgXqn0wmPx4Pnn38eg4ODWFlZ4aZcYG90sBjuF/FbHQ4Hjhw5AmD3kqBMNmV2mpqaWMPbYDBgZGSkQoNY2GlOAaAYfivJqFEWuLOzExaLhcvE6XQazc3NLJFIWdJUKoWVlRVubgT2ZPSEA2IOauTUUPYN2HXAzGYzB56pVApra2tQq9Wc5SKuL6l+UBBDAYYYHqVUKuWpb/R7JpOJA8pCoYDt7W18/PHHrE5DfFua7KlUKrnK5vf74ff7kU6nq34upVIJ8Xicy/fA3sRQKtkWCgVuJiK9e3J4qImaLmRKYFRbmqWx7wAqKh+rq6tYWFhAS0sLNBoNjEYjyzpmMhlcv34dt2/fRiQSwdraWoWEmHB8e7VYiGsrlBDz+XyYn59HY2Mj3wX0TzKZxJ07dzAxMcG9KUKZN8q2V2uUQDObzZyo2d7exv3793Hs2DHWWReqJk1PT+ODDz7g5MPDBlSJ8HM2ygAAIABJREFUccKI1kf0KABYXFxEb28venp6YLPZWDkpFAphbm4OFy9exHvvvVeh4FOrkgawRyUj3WUAuH//Plo/kaWlCaoKhQLT09P4/ve/jytXrnD1mRIytSqM0J1sMBjgdDqZi3/79m2cPHkSRqMR5XKZxRb+/u//Ht///veZo09/l1olIymRZ7FY4PF4MDk5CQC4cuUKRkZGYDAYuF9ifHwc3/ve9/CLX/yCqwnCCmutz4Ts0DLI5KDSZlCr1cjn81CpVBXZC2quIQ7Q/Pw8837ppYsxKlVT1A3sLmSdTgeNRoOdnR24XC7MzMxwNoE4YXq9nrnSlHnZ3t4W5QgKRbuFElUkc2QwGDA2NoaLFy8iEolAJpNxxtDtdkOn0yESiXAWZXZ2tuLgrxYLvRchHcDlcnFW4+mnn8ZvfvMbbG9vQ6VSobu7G01NTejr6+NyJXXA379/XxRHkJ4HZRMou+L1emGz2ZDP55FKpTA4OIgbN24gHo+zw3P8+HH09fXxkJn5+XkAu/xJsWM0CYtarWYuZ1tbG3dyr66uorW1FaurqxzRdnd34wtf+ALcbjei0SgWFhbg8/kAgDnTYrKlJPml1+u5KaG9vR0qlQq9vb1YXl7m0pXL5eKM86lTp6BWq7G9vc2SRMCeYyqmCkMHNmUuWltboVarcezYMWSzWWQyGaaTkHRYa2sr828nJyd5HDONza21GkTBFA2VoQxYLpfjrLtEIkEoFIJMJsP8/Dymp6fh8/kqHJ5kMik665TNZhGLxdj593g8aGlp4VIk0Qny+TysVivC4TDW19dx69YtXL16FcvLyxzwhkIhrgZUi4VoCtQLAOw1ERIOOo+np6chlUqRTqexsrLCI6iFXe6rq6tYWVmpejomleQ3NzextbXFQSsNOJDJZAiHw5idncW1a9cQjUZZXm11dZXpXMKBTuvr61hYWKgYcX9QLJQ9Ii1uYLci1NDQwNkomUyG6elpbqzV6/XcOJ5MJiskABOJBKulVIODstLLy8t8NikUCkxOTuLKlSsYGBjA8ePHoVarOdmwsLCAGzduIBKJcAVGKHsqzFZWi6VQKMDv91dUylZXV7G4uIjh4WG0fjKl0263Q6vV4j//8z/x29/+lkvVwu7/WiQSKaO3sbHB+5ma4ldWVvDyyy+jvb2dK6yTk5N4//33sbS0xKovFNwSFrFqJ0T38fv9HMTQ566vr+PcuXMwmUyYmprCBx98gLfeegtLS0tMqziszCRhIZ19SmA5HA60tbUhGo2is7MT8Xgc77//Pt5880189NFH7Ejvz2DXioWEFITVR4/Hg7a2NqbILC4u4s0338R///d/cxOy8DMOAwdNiSVxBWD37KdKTDqdxjvvvIN/+qd/gt/vr1CxIh/zsJxjABDHuq9b3epWt7rVrW51q1vd/h+1mhXJyWOnqJ+kiKihxu124+7du8hkMiw8LZVKMTIyglwuh/HxcY4+AoEAc4TE6D4Ce01ywK6MjsvlglwuZy4NcXkUCgVaWlqg1+vx7LPPolwu48qVK8z9jUQiorlOwF70DwBNTU2coTSZTBgaGoJKpcL09DQ3bnR1dWF0dBQajQaTk5NYWFgAAC7Rio3QKNtG2TSv18sDUgwGAzo6OnDkyBEEAgEoFAqYTCYcPXqUqQ+3b9/GL3/5SwC72Qcx/FbCQTJlhKVcLrOOLJWlSedRo9FAIpGgp6cHyWQS2WwWv/vd71jCj6ghYrO2NBaZotRsNovOzk60fjJUgPBQM1oikYDH48Hc3BwWFxdx4cIF5iBXqwstNMqQJJNJzjJms1l0dHSgubkZzz33HKRSKZqampi/vrm5CZ1Oh4sXL+L69eu4ePEil/9IRaXaNUvd9ZTZAXYz2URzoc5v4gGTekQgEMBvfvMb3Lx5kyeB0d9BbCmS+PrLy8u8H41GI7LZLMso0p6ORqPMJd3Y2MDFixexvLwMn89XoclcrY44WSKRwNbWFg88AvZ0lWlanU6nQ6lUwsLCAra2trC8vIy5uTlMT09je3u7QpeaGnLFaHOSHOK1a9e4utXS0gKn08lnp9Vqxd27dzE/P8/SdD6fj5uGI5EIZ/XT6XTFQJeDGjVZSyQSfPzxx0zB0mg0PPEyFArB7/djbW2NuYV2ux3RaJQbG4X9DZSlr3a9kCpIqVTC/Pw8Z9apIZgyyjTFk5pdqVxLI+6J2gGAm6erfSa0PoWDe+huVCgU+P3vf49r165BpVIhm81ibW2Nq4U0KlxIpROraVsul5liQYoqwO7duL29jY2NDdy5cwfNzc2QyWRoa2vjygvxuEmer9asLVU0KDtIWXmSa1xfX8fS0hKOHz+O+fl5lMtlpuUQT5dMeNbXggWonBi6srKCtbU1/O53v0MsFsPo6CjefPNNXL58GQsLCxXqS1TC36/wI8bovQjPpuvXr2NxcREWiwXnzp1DoVDAD37wA6b9kU9C1CHhd9fCQSZJXKGv8Zvf/AaLi4twuVxwu91YWlrC+++/XzHtEdhTwDgMDnIymWQFDMqW/+pXv8La2hr6+vowNzeHq1ev8ujx/d8jXK+HYZIqOy8f+GFyIOmgo87bhoYGnrhG/D2Px4N8Pg+bzYaOjg4eZUyqCD/60Y9w8+bNB+abl8vlB7ygR2EBKkcUOhwO1r0kh6y1tZVLbu3t7RgdHYXBYMDi4iKuXLkCAHj//fexubnJJaJHYXkYDnImiPtltVrR0dEBr9fL/KL+/n54vV4Eg0F88MEHGBoaQnd3NyQSCd59913813/9FwBgYmKCF6/wsDzoM6EDhpQ0nE4nhoeH0d3djc7OTlitVoyOjsLhcCCVSmFychKNjY08Ye9f//VfGQuVhh+yGQ6EZT+X0+Fw4NSpUzh69CjrlXZ2dkKr1bLMjkajwb179zA+Po633nqL9Zwp+NgfwBwEi7BblugeFosFr7zyCk6cOMGapQ6HAwqFAtFoFPPz88hms3j33Xdx+fJldn6AR3frHhQLNd2RLJnFYsHZs2cxMjKC9vZ2HrtaKBQwNzeHqakp+Hw+vPvuu6wOI+QtHgTLfhzEV7Tb7dy84nQ6MTg4yLJiTU1NrGM9OzuLtbU13L17F5OTk6y7K+QsPsJulMvlsT+EhZQJhJKNpK3b398Pl8uFUCiEmZkZLm3fu3cPm5ubHPz8oXLoQd4PNZZaLJaKEazNzc0cfGq1WgQCAUSjUXaW19fXmZ97EC72QbBQsGa1WrlUTRSLbDbL2tQ0cVOj0UChULBqBjlcf+jMP+i6pf4JoQNGAQzJJdLdQHx+msB5kMmk1WCRSCRMpfvk9yq63MnZk8lk/N3CUbgHuQf/0B4iHPtVEoC9KWXU+7Czs4N4PF6hNnPQu/igz0T4vcDepFf6b8RppzNODJ+1WixC/WBai9QTQipAYqiN1WIRylkqlUoOCIgnvb6+LrqHohostF5oP5OyUqFQgE6nw87ODsLhcE2c54OeLTQVU3i2ULBIeEkG77CwPOy8pUFIwr4ywkFURrFr5FE4HmU1O8gP+RnWANZqtbBYLBgbG2ONR5J00Wg06OzshEKhwNtvvw0API0M2IueP9lEB3LAhBiAPU6lTqeDxWJBY2Mjzp07h2AwiHg8jqmpKTQ1NUGv12NnZwcLCwsYHx8HAM4ACGW+HoblIDiIAE8qGZ2dnfjqV7+KaDSKcDiM8fFxFvG/f/8+5ufnmWsrbOYTHubVPhM6JEmD2mazwe12o7m5GefPn+cszMTEBOsuXrhwAYFAgJUjaJOKcUqFRockCdJ3dHTA5XJBr9fj9OnTKBaLiEQiuH79OpLJJO7fv4+JiQkeVf1pVg0WisKBXc7iwMAAhoeHYbVaEYvF0NbWxrJ8U1NTWFlZYUdImI04DCxCLUy1Wg273c7cQOHoWuIqEgebsjPVOmCfhkOoZUlrmCSshB3OlJEkR+OA1ZY/6CAL/pyx0Jhp4vbTuHYA7CCSY3hQq3atCPczKfGQrBp9L/VeiMhAij7jgD3nVOjs0cUvQgWhKiz7MQHgIQFC50hMRaFWLMIhMUIt+MNwBg+CQ/id9D6EJqaSIPaZ0PoQZtkOIesnat1SI78QT6383lqwCJt4AXFDn6rFQuelcN8Itf+FVfHHjUUYPO0/P+hMOQx+70Ec5P3fRcM+DpNb/L/mIH/yc3wwUNaQGvBI/oxoGOl0msti1GFKMmTVZpAfhYO6Y2m0dCaT4QObsBSLRcRisQpxa1KB+LTM7UEPSSp30gABvV6PVCrFB4VEIuGpVsIpavT3+OS7H4mjGiwkaZbNZqHValmonnSJqbRF6hmHkf16FBadTseTxVQqFWd8SMOTNgaV7A8j+/UoLDTlijL2n3weXyxC+sJhZb8eZkLHndYGHRq0r4QX7WFkvx6FQ3hQCf83Oa4iLrUDO8ifhgtABZaDvhOhiX0/n2bCQPZ/G4vYcuPjwvI/4YAdxKpVyXgUFjHrVvgMDguHGCyHZXUsdSy1YHlScDzKHouDLDRhdEblNir9pVKpQys/HsQoC0VODqXzZTKZaAesmmwGfTbpCAtxyOVyHt5xkOi11szKw7AAldN9DioXVgsW4fPev1YoQKEgRYwjeFAs+22/o7M/wv6fxLL/OT3Kaa0Gy2EcTCKdnpod5MPC8iRfHIeB5UlySp8ULBRkiuT2HuoeqjvIdSz/f8fypOB4lD12B/lRRtnk/0lH41FWzUH1OF9wNZfI434mTxKWaqyO5WBY/rdw4DE5yGLsSX4/dSxPPpYnBUcdSx3L/1exPCk4HmXVqlgEAaxUD+dBqyKCb3ncWKqI4h+G5dBwVBGsPPZn8iRhqcLqWB5uj3XdVmlPCpYn/f0AdSxPOpYnBQdQx1LH8nB70rE8KTgealVlkOtWt7rVrW51q1vd6la3/9etPiikbnWrW93qVre61a1udRNY3UGuW93qVre61a1udatb3QRWd5DrVre61a1udatb3epWN4HVHeS61a1udatb3epWt7rVTWBVqVg8SZIcTwqWJwVHHUsdSzVY/hdl3oLlctnxJGB5kt9PHcvjxXIYutlPCo7DwiLG6ljqWGrB8qTgeJRVK/P2B40GKnwCoubPqmXM4mFjEfsZwkloteKo9TMOE0ut9oew/E9ipAEqZPu/t9a1KAaLcKiLEE81GuKHgYMGtuzs7FSMG5fL5TxJrwosoiR9CItMJuO/Pw2PoWmZNH3zcb8nIRYaO03vQy6X85RK4fN6XO9KiIVGgctkMkgkEqjVagBAPB5HqVTi6ZyPc91IPhkPbjKZAOyOAZfJZDAYDMhmswiHwygUCkin0xXv6nHsdcKi0Wh4aqparUZnZyekUinW19eRSCQQCoUe2E+HjYWGQZG8qUQiQXt7O1paWpDL5bCxsYHl5eWKcdy05w7baAqm8Hs8Hg9sNhusVisymQzu3buHTCZT8f2PA4twVDphMZvNAACTyQSj0Qi/3494PF7xM7WOpX4Ulv1nrVqt5um/Go0GxWKxYqS9RCJ5YHz4YdjDpmCqVCoe3y6VSh+YOEzDvR4Hlv37gaYT7///wjsjl8sdOpaHYQPAfgStbfpzuVyOTCYj+vMPzUHef6kDtR8yYjfkk4JFuFgOy1E/LEefDt//TSeZpuQJD8n9eB52UDxOLDTRkA4e4XsT4nyczjs9E7VaDbVajWw2i3K5zJcnOUFCB+NxYKHnodfrYTAYkE6n+dnk83kUi0V2VunCelzOKTnBVqsVDocDqVSKL6xEIoFMJoNisVgxnvxxPRuJRAKFQgGr1Qq32w0AcDqdkMvl2N7exvb2NhKJBHK5HL87EYHEgbGQQ9rU1ASLxYKBgQHY7XasrKxgamoKgUAAmUwG8Xgc5XKZL9HDfle0blUqFcxmM9rb23Hq1Cn09PRgeXkZv//977G0tIRkMsl7K5vNPjYs9A+w62y1tLTghRdewPDwMBYWFjA5OQmfz4ednR3k83kkk8lDxyK8g+jckMlksNls+MIXvoDnn38eMpkMN2/exP/5P/8HgUAA0WgUQFWzAqrCQue/MLhyuVw4f/48Tp06hXw+jx/+8Id4//33sb29DQCH7gTuT0gI7+xSqYSRkRGcP38evb29uHPnDv7xH/8Rfr8fAGpyeB6FZT8eYO+u1Ol0GB4expkzZ6BWq/Fv//ZvjCUejx86FrL901N3dnYglUphMBjQ0dGBxsZGLCws8HqJRCKPxUF+2JlFa1mhUECr1cJut1fsm1gsxmvncRrdyzQB2Gg0Qq1WQ6/XAwBSqRRWV1dFf/6hOMhyuZw9d6VSyX9OlyiwuwnpgqcF+TgcNIVCwVjUanXFd1LWSSaT8WVKTs/+w6hWXAqFAgqFAgCg1+s5g6NSqQDsHjiUacpms4xZGBEeBg5g953Q31Oj0fDGNxgMkEgkyOfzkMlkSKfTSCQSUCgUfGkIv/8wLg6VSsWHgFKp5Oek1+vZ+VIqlUgmkwiHw1AqlSgWi5yRI9sf6YsxtVpdEWnq9XqYTCbYbDZeR0qlEltbW1haWoJarUYmk0E6na4YfX0Y65iyfcDu2mlsbMSRI0fg9Xp5f0kkEszPz+PGjRvQarUIBoOIx+MoFAr8/Qcdyf0wk0gkFe9HpVKht7cXg4ODcLlcMBgMMBqNkEqlmJ2dxZUrV6BWqzE/P49wOIxcLsf7qBYchEX4fjQaDZ5++mmMjIzAYrHAarXCZDJBIpFgaWkJN27cQKlUwtTUFDY2NthhBh7cU2Kw0Eh6ANDpdDh58iQGBgZgNpvR1NQEl8uFUqmE2dlZTExMIBQKYW5ujrHQ30P4rsSaQqHg/axWq9HX14fu7m40Nzfj2LFj6OrqAgBMTEzAaDRiaWkJPp8PUqkUmUyGv79QKNS8pymgBHYdCrPZDLVaDZfLhc9+9rN49dVXYTQaIZfLsb6+jkwmg2g0ikKhUHE/HMZzoT0C7AUO5LS73W6MjIzgc5/7HHZ2drCwsIBMJgOlUgmn04lIJMIZr/3nXrVGFzaAB85PhUIBg8GA5557DqdPn0ZLSwtWV1ehVCrR1dWFRCJR4agfRsWRsFBQT8Gj0FkfHR3F2NgYOjo6EI1G0d/fj2vXriESiQCofQ+R0R6ibDphoSqVXC6H0+nEqVOn8Oqrr0KhUCCXy6G7u5udUeE5U4vRc6HMLOGh81Yul0OtVsNiseDrX/86Tpw4gVAohPn5eVy5cgXArrN+GJlSwqJQKNhnEVbH5HI5Pyuv14tvf/vbAIDx8XEsLCwAAO7fv49EIlEzFmHgJDzHhYEE/Vun0+Gll16CzWZDNBrl/Tw7O4tgMFjzuUv2sMQZBXoAoNVq0dHRgebmZiiVShgMBgDA0tIS1tbWROOoyUGmBW00GuH1egEAJ0+eRDKZhEQiwfLyMgwGA1QqFaLRKILBILa2tpBOp6FWqxGLxZDP5/kvKSxJisVisVgYy0svvcSZHFpYRqMR29vbWF9fx40bNxCNRtkJyuVyjIU2jBgcdOi0trYCAL785S8jl8shEAhw9Ge1WhnHhx9+yNHW+vo60uk04ygWi6IPSiEWeiYUBe/s7ECn06GhoQEOhwPpdBrhcBgXL17E+vo6UqkUlpeX+bAmLGIdH8Jit9vR0rI7yObYsWMwGAyw2WzsjLrdbpTLZcTjcVy/fh1+vx/BYBDz8/OIxWL8eYVCoSYsUqm0Aktvby8aGxvR398PnU7HkbpEIkEoFMKdO3ewtraGlZUV3L9/H+FwmNdqoVAQfYEQFqvVyu+otbUVx44dwzPPPAObzYadnR12IMLhME6fPo2VlRXcu3cPk5OTCIVCvFbFYhHiaG5uBgC43W6MjY3h2LFjHDRkMhnI5XJ0dHTg+PHjmJ2dhcFgwJ07d7C9vV3h8NT6TIxGI9ra2hjLZz7zGTz11FPQ6/VQKBTIZrPs4PT29uLu3bvY2dlBLpdDMBisOGBrwSKRSKDVatHY2AgAaGhowNNPP41nn30WBoMBBoOhosSo1+tx69YtFItFpNNp3sMAOJtcaxBDZWidTgeHw4Genh4MDQ1hbGwMDocDiUQCgUAAbW1tCIVCcLlcSCaTHAwDew5YLVgUCgUHd+Vymff4U089hVOnTmFoaAjxeBwKhYKDc71eD7VajXw+z44BVURqwUJnCLDr5JZKJSgUClgsFrS3t+OVV17BCy+8gNu3b8Pn82FpaYlLwcVi8YGKn1gsUqmUkyO5XI4vcrlcDpVKhY6ODnzzm9/EmTNnsLy8jPHxcdy+fRvLy8sVzlatOOi5yOW71zwFRLS/iJbT2dmJP/mTP8HRo0eRy+UQCoVw9epVRCIRXreHhYXetzA4k0qlUCqVkMvlUCgUOHbsGL71rW/B6/UinU7zPUDVBgpAagnuhFjIP6A/pzWtUqlgt9vxjW98A6+//jo0Gg3m5+eRzWY5i00BYq1YaO3tD87IQVar1ZBKpeju7sbf/d3fYWhoCJOTk4hGowiFQgAAi8WCQCBQE/1EiOVRn0M/Y7fb8dWvfhXf+MY3EI/HEQqFsLKyy6CTy+WYmpridyYGB9nD1pywsktJgu985ztobGxEOBzGxsYG/+y1a9eQTqdF4ajJQVar1XA4HHjqqacwPDwMADh69CjsdjuKxSIMBgM2NjagUqmwtrYGiUSCmzdvYnFxEVKpFFevXkU2m+XyTaFQEP1ANRoNHA4Hjh8/jqGhIQDA2bNn0dzcjFKpBLvdjkgkApvNhnA4jFQqhZ/97Ge4f/8+isUiPvjgA2QyGS5RUGa32gOBNhVdDsCuo97Y2IhMJgOr1YpcLgeTyYRoNIpMJoPGxkZMT08jGo3i0qVLSKVSfFAKN2O1plQqYTKZ8Nxzz+HIkSMAgNOnT6O5uRlSqRRarRbpdBpms5kvcqvVipmZGWxsbCCbzTJGYDdaFouFSjFHjx7F0aNHAQBjY2Nob2+HXq+HXC5HNBqFyWRi50qY/Uomk5DJZLw+asFCB87AwAC/oyNHjmBwcBButxtqtZrL0YVCATabjbNiFosFkUgE5XKZNx2VBcVcHjKZDAqFAl1dXfyOKGvb1NQEnU6HaDSKeDzOJaSOjg6oVCoUCgUEAgHmdJKJwUKXusfjQW9vLwCgq6sLHR0dMJlM0Ol0SCQSWFhYgFKphNFohM1mg9vtRlNTE3w+H2fXa8FBWMjRIgpDR0cH9Ho9V4GKxSLm5+cB7FZodDodTCYTrFYr9Hp9BY5a3g9dpAaDgct2zc3N0Gq10Gg0nPHZ2tpCIBBALpdj+kUoFIJOp3uAs1jLcyEHmZxSekednZ1obW2FRqNBOBxmh0smk8FisSCfz0OtVkOpVPJ5K6yqiXku5EzQ38VoNMJqtWJkZAQnT55Eb28vMpkMrly5gnv37kEul8NmsyGRSEClUrFDdFhYhBxfyrJbLBb09vZibGwMR44cQbFYxO3bt7GysoJsNgupVIpCocAZQ/o8YXa7GhxAJT+THEuqULndbnzlK1/B2NgYUqkULl26hF//+tdYXV2tqLYKP0+sw0NBg9B5Ez4rvV6Prq4ufP3rX0dXVxcymQzef/99vPXWW7h79y4HPEKrxfmiIEiIBQDvL7VajZ6eHpw/fx52ux2hUAjXrl3DtWvXkEwm+d3S3+lx9Sep1WooFAq0t7fjhRdewNmzZ1EqlbCysoLp6WlsbW1VOOtyubwmasOnYSHnW6/XY3R0FK+99hqam5v5Xo5Go0ilUgDAXOla3tEf6rWiYM9gMODZZ5/FmTNnYLfbodfrEQwG+buJAleLg3yQM5LOlOeffx6f/exnodVq8fvf/54z6Zubm9DpdP/zDrJUKsXw8DA+97nPQafT4cUXXwQAzm5Eo1Fks1k+tBQKBZRKJRwOB/R6PYrFIlZXV7G1tcVlHLHcTolEgiNHjuALX/gCbDYbXn75ZQCAwWCA1WrlRgzKcGWzWSQSCeh0OvT39yOVSmF+fh6bm5sIBoOisUgkEnR2duKVV15BY2MjTp48CWB3w1F5ZGNjA6FQiGkXxB9qbm6GTqeDy+XC5uYmLywi5Yu5UN1uN86cOYORkRGMjY0B2M04EfdvdXWVL3GlUol4PI5MJgObzYZ8Pg+Xy8VZMLHPhMxiseDo0aMVwZTZbEaxWEQoFMLGxgaCwSBXJGKxGHZ2dqDVamEymeB0Oiuc4lqwUDmmp6eHy9HUnEKZpUQigWKxCLPZjEgkAovFArVaDZvNBo/Hg2QyWfFcxBpt8IaGBtjtdv5zv9+PXC6Hzc1NhMNhbG1twWazIZ1Oo62tDXK5HA0NDXC5XIjH47xehGWnaoyySSqVii/FQqGAWCyGzc1NTE5OIhAIYGpqCmazGSqVCqOjo1CpVGhubsb8/DwSiUTNOIC9LKmwikOXej6fRzgcxuLiIsbHx6FWq2EwGPD000/DZDKhtbWVea5CfmstWMgJpowTca/T6TSSySQWFxdx+/ZtlEol6HQ69PT0wOPxIJ/PcxWGAt5CoSAaC7DnHBBVS61WQyaTwefzQa/XI5lMYmJiAmtra8jlcnA6nWhtbYVcLofP50M6nWYswqypGKPLW6vVAth1kC0WC59ZyWQS9+7dw82bN+Hz+aBUKuHxeBAKhbC+vg6VSnVoWMjBJodbo9GwE9jc3IzR0VHo9Xr4fD4sLCxw0iSfz3NVhNY94a/2fKGSeKlUYmdbSPfzer1MHVCr1fjwww9x4cIFBINB5PN5ZLNZqFSqB3odaul3EPZOkINKXH6Px4PXXnsNr732GnQ6He7cuYP33nsP4+Pj2Nraqgh+6BmLxULvR+hwkwOv0+mYx/r1r38dx48fRzqdxscff4wf//jHuHnzZkWfg5BDLRbLw84ncnZlMhn0ej1Onz6Nr371q3C73fD5fLhw4QLefvttxOPxirOfqDxi39GjzieJRAKNRgOtVouRkRF8+9vfxtjYGEKhEH71q1/h8uXLyGQynC1NJBI1Z9c/7ffozKGz/7vf/S4fkmtXAAAgAElEQVRUKhU++ugjbGxsoFgsMt1jdXWVEx1ifJhPwyGkDJnNZvzVX/0VnnvuOT5nk8kk+wmJRIIpKnSXVIOjroNct7rVrW51q1vd6la3uglMdAZZJpMxqX9ra4s99sXFReRyOaRSKdy+fRvT09NIp9PQarXo6upCV1cXHA4Hlw1WVlYqSidi+HkymQwjIyNoampCOp3mzNHKygpkMhkSiQRu3ryJjz76CKlUCjqdDp2dnejp6YHD4YDFYoHBYMDCwkJFmUtMia2vrw9GoxGpVIpLH4uLi9BqtQiHw5iZmWEahU6nQ0tLC7q6umCz2bhUkU6nuQwqBgdhaW1thd1u5+Y7AFheXoZOp8Pm5ibu3LmDiYkJZLNZznB0d3fDZrPBaDRCq9UimUwyFirxisHicDjQ3NyMnZ0d5hKvrq5Cq9UiEAhgenoa8/PzvFYaGhrQ1dUFu90OrVbLZRIhFrGRstFoRFNTE2dIASAajcJqtWJ9fR0zMzNYW1tDNptl6k53dzcaGxuh0+lgNBqRzWb5vdSCRaVSwWq1IpvNciUlHo8jmUxieXkZm5ubiMViCIVCUCqVnHVraWnhCgnxsQmLmHckl8uZDhAOh/nPACAQCCASiaBUKrH0k0wmw+LiItra2mAymeBwODA7O1tRWhabEZTL5dBqtRX0ImrS3NzcRCqVYm58sVhENBqF3+9HY2MjjEYj7HY7lpeX+fOEzVtisFADKWVQiOcaCASg1+uZ+xqPxxEMBtHQ0ACbzQaNRsNrStj4QlnGak0qlUKj0UClUsFisQDYzYakUimsr6+jtbUVWq0WqVQK6XQaGxsbTG0CdpUcIpEIv1eFQiFanYCeh0qlYuoJVebi8Tg3QZOsG2W4JRIJnzfU9AqgIkNYrVF1QciHJn6zVCqF0+lEf38/kskkJicnMTExwSVxasJKp9MVZXKxPH7KVtEaIRqHXC5HS0sLvvOd76CpqQmBQAA//OEPcf/+fWQyGT5vgb2G8Xw+X1P/CWVDKWubzWYr+P1/9Ed/hLNnz8LhcGBmZgY3b97E8vIyyuUyFAoFdDpdxfOopVxO615YhSGjZ3Pu3DmcPXsWhUIBd+/exU9/+lNMTk6iWCyyVB+wu1ZqUbIQ4gAqG/RlMhmsVis+//nP44033oDVakUsFsOFCxfw85//HIFAADqdDhqNBsAuf5nWDe3xat4XvZuH/Y5EIoHRaMTAwAC+9a1v4ejRo1Cr1ZiamsK///u/IxgMwuHYk5RXKBQVTXSUtT+oPayxVIiFmuqHhobw53/+5+jp6cHt27fxz//8z0gkEuju7ub3Iuwp+LTPfZj9oedImWmn04mXX34Z586dQyaTwX/8x3+wX0l7yeFwYH5+vqLqUM3ZK9pBLhaLGB8fx+DgIF577TU+mJaXlzE9PY3t7W2srq5yGRLYXUxbW1sMlPjHtaoBlEolXL58GV6vF1/5yld40aytreHu3bsIBALw+XzcIUyHMTXoEeWADiTCUq3Ds7Ozg/Hxceh0Orz66qsVDX8LCwusdUkXGLB3wVHjXKFQqGhgEMu1KpfLuH//PtRqNV588UV2elKpFObm5rCwsMC80VQqxYuZGiiJf3tYWDY2NnDv3j3odDosLS3x54VCIfj9fnZohFwh4qRTY5Pw0hLqhVZrsViMNw05CFarFRsbG/D7/ZiZmYFCoeDgwGazMS+RfuewsOTzeS5PURDT1NTEDuH09DRz+RUKBVwuF5eLqGlSyGkVNoRVY+TMCNUfgL2y4+zsLPR6Pfx+P1OlhOXg/SW0Wp5JqVRCJBKpkFByOp3w+XyQy+VYXl5GJpPB8vIyFAoFGhoamMdOeAFUPJNayp/RaJQveGC3SY+k0yQSCdbX13H//n2k02lYrVYYjUZ2CsipPgzlCDor8vk81tbWAOy+n2w2i+bmZgSDQWxubuLGjRvY3NwEAPT09DCNgS71/Q6YWCy0Runsl0qliEajaP2kOXlxcREffvgh7t27h+3tbXi9XhQKBahUKuh0uormUmGjlBgstI+Fz5sofh6PB1KpFBMTE7hw4QLm5uagVquZQqXX65HJZB7AIqZsTu9X6BTQfmpqakJ7ezvS6TQuX76M8fFxJBIJlEolpgrR/UQ4aqHY7W/wFjbZWa1WnD59Gj09PYjH4/jRj36Ey5cvY21tjd8pKScInwlQvSNYLu9JVAodU8Ijl8tx4sQJnDt3DjqdDteuXcOPf/xj3Lp1C6lUigMOuhto3QmdwWrWjlDZaj9OuVyO0dFRfOtb30JjYyMCgQDefvtt/O53v+NyPVGuAPC6EWKpxgET/q7QiGZ2+vRp/PEf/zH6+/uRy+Vw69YtfPjhh8hms9BqtZDJZLz2iact5HZX81w+7WflcjlOnTqFEydOoLOzEy0tLbhy5QquXr2KnZ0dOJ1OAHv3NylaiMHyaetKIpGgsbERfX19aGhowIkTJ3D16lUEg0EEg0H09vYimUzyXRoKhSqEIIjycVAT7SCXy2Xcu3cPU1NT+OIXv8idlPF4nHmTANiTJ34jccOEfJlaJVvK5TIWFhZw7do1vP7668wjDofDmJ+f54yGwWCAVCrlCJCwUBax2sX9MNvY2MDNmzfx9NNPc2RJ0jDkfFBkTtwrIQ5aRGL4MvstGo1idnYWnZ2d/D6y2SxLHJXLZWg0Gkgku5Ja9Fzo/ZDjJYzcxRrpEVqtVr7EJBIJgsEgdnZ2KrIuWq2W1U9kMhk7qsLLppaOalIUIScYAF9MdCCrVCqWnNPr9ewMxmIxfnaHof1bKpWQSqUqDnmHw8HOCwUplJE1GAw8nIIyzfufixgTOhnEi9/Z2eF1k8vlOJNPzU9yuRy5XA6RSISrJfufiZjLnfj65XKZD7p4PI65uTkUCgWEw2FunKRsGEmYxeNx5HK5inOlViz0O+Swh8NhrKysQKlUIpfLVRy6Go2G11EqlWK+8mFgITylUonPrFgsBpvNBrPZjGAwiEAggGAwiEQiwYFdLpdj7rMQi7DqUAtnkfaQVquF0+nEwMAASqUSrl27hnv37sHv9/P+Ji73fl5gLVjo8tvZ2eELmjLnw8PDsNlsuHLlCt566y3cuXMHwG7/Qzab5bM4Go1WBLyEpVoHVahGQJ8hl8vh9XrR29uLtbU13Lx5E7/85S+5OQ3Y7ZfRarUVwalQcUKoglKNCc8GOkPMZjNGR0fR0NCAeDyO9957D++++y4ikQg3mJJzTWuevl8sp5RM2FNATmBfXx++9rWvwWq1Yn5+Hm+99RYmJychkUhgtVoB7Dpo9G7pvBS+HzFG+On3FQoFuru78Td/8zdwuVzY2trChx9+iF//+tdIJBIwm82cpaVMaTQarXhHYrA87DlSk+DZs2dht9sRi8UwNTWFN998E9vb2zAajTAajRXN4iRbS89FGIzUYgqFAh0dHfj2t7+NxsZGlEol+P1+/OpXv8La2hp0Oh28Xi/fZcBe5YTWi9CRF2ukyPXNb34THR0dXNmcnJzE9vY2TCYT+yzCM5skW+ksrsZqUrGQSqX8cujfRKuQyWRQq9XweDzweDxQKpWwWCy4c+cO5ubmkM1mYbFY0NraytmOfD5foaVXLRYitdOBPTk5iY2NDSiVSmi1WlgsFrS0tECj0cBkMuHu3bvw+XwIh8Ncdg8EAgD2ovdqsZBkjdVq5Zfh9/tRKBRgNBphMpkYB3XGUzZ3a2uLpddoo1HkLpZmQZqAVJL1+Xyw2+0cCReLRbS0tHD3/+rqKuLxOGtzEh2mVizAXnOFzWbjz6NJW6Qs0dLSArvdDqPRiEAgwGVrOixpk1EW4bCwmEwmLus3NjbCbDajpaUFTqcTTqcTsVgMsVgMKysrKBaLMJlMvOaJdiDGaSdnUCKRcKnaarXCbDajXC5zQEFTrpqamrhZjTLPer2eLzI6GKvFIvx5ClSIwkGOOTWhkvav1Wrl6gC9S6GklNjg92EOUiaT4bI8vbOWlhbYbDb09vaiqakJ+Xye5aDIeQYePQjgoFjouZDTQ5SJhoYGpqQQjaivrw8ejwexWAx+vx/pdJoDQrJasACouBSDwSArrCQSCczMzCAej/Of2Ww2lMtlxGIxJJNJbmITYhHrqO9f8+Q4EE5SnyHFHFrfUqmULy7h7x7GcxF+nkwmg9vtRnt7O+7cuYNgMMiODVEQVCoVrxfh7wrXbjWZUuE/9FlKpRLd3d14/vnnkc/nMT09zVRE0vqmZkuhHjrtY7FVO/q3cB/I5XJ0d3fjjTfegF6vx+zsLN555x3Wgd7Z2UE2m2VnQ5h5298oVy2e/Y1xMpkMXq8Xf/3Xfw2Px4NIJIJf/vKXuHXrFra2tjhx4nK5KvTZSSWkliTS/uZDqVSK5uZm/O3f/i26urqQTqfx7rvv4r333mP5SIVCgZaWFhiNRvZZSE3osKZ4EpbW1lZ873vfw/HjxyGVSjE/P493330Xly5dYgpMT08P3G43S8RScE5UmFqnDVKD8tDQEL773e/i9OnTUCqViMViuH79Ot555x0AewpIvb29nJykwVL03mtxjgnH4OAg/vRP/xRnzpyB1WrF3NwcLl26hPHxcZTLZU6MDA8PV0jfkVxhuVyuWm1EtINML5I0ailykMlk6O7uBrDrdJw4cQJHjhzhcZ43btxghQSdTsfcWwDM0a1W7Jo2TiwWw+LiIi9+tVqNZ599lvmVAwMDGBwcxMbGBlMQKFKTy+UVUk7kqCcSiaodDZJfocNOqVTiyJEj0Gg0rFva39+PUCgEqVSKra0tLrFR2ZYONRoTSzSIakyYUaFMRVNTE5xOJzQaDX/n/2Xvy4LbPK+zHxD7DhA7wH0VKVK7REmmNluJ11hO4jiZxm0v2qZNJ22mM50u08te9aptZnrTTtrfaZN0Mk2bOLFjx7IcSZaslZJIcafABSRIECD2jVj/C+QcfaDlmACoRO3gzGhsyyTwfO/3Luc95znP2bVrFxKJBKRSKS5evMjOjl6vRzqd5hQtRVmrkakiNQyxWMwUGLlcDqfTyZFJkh2i77937x4/N0UzyBGkhVctlmw2C4VCwRGKlpYWtLe3czMMUiOgiD/pMEejUYTDYYRCIV6EtBFVw4ujQ4jWAlDa6JxOJ8xmM8tV9fX1AQDMZjP8fj/i8Th8Ph+Wl5fh8/nKBPgp7V7JuJBjLZfLOetDES6KGhQKBfT29kKr1cLhcCASiSAUCkGpVLK27VaubTW0Kfp5YVYhl8tBLpeju7sbmUwGmUwGbW1taGlpQWdnJ1KpFNbW1tjZEDYsIsegGizCiK8wOri5uQmbzcbvp7GxEW1tbdi3bx9HJ4VYhA5TtViEnyGkbKRSKb7AOBwOxtXd3Y2WlhYUi0VsbGwwZ5h+l6JNlIKsdJ+jfwodVJJH02q12Lt3LxQKBRYXF2EwGLB//36WwyN+uTAFK4zC1ZI5ozGi6K3RaITT6cTAwAArVvT09DCtjmQ1ac8lakG1kVLhz5PT29zcjNbWViwtLfE6sVgscDqd/DNSqRSrq6vc+Ysku3aqCyO13e7r68PevXsRiUSwsLAAr9cLg8HA2SGNRgO73Q6fz8frSC6XI5PJsKNTLRbh+5bJZNi3bx/OnDmDTCaDBw8e4NKlSwgEAtBqtdxAqru7G4FAoAyLcH+r1ikV0iKkUmlZIxm3240f/vCHWFhYYKwGgwFdXV2IRCK830ql0o9RM2vBQrKfnZ2dOHHiBCQSCQKBAFNg6HtJnSWVSpVxw4VNRqp9R7QOKFg3PDzMznEqlcKlS5fw5ptv8iWStMbX1tZYUYMUJQhLNeNCOHQ6HYaGhvDqq6/i1VdfZb/m8uXLeOutt9gBp7UyPj7OlE2Px8OZ+WpwVOQgCzcLkUgEu92OPXv2QKlUMiCTyQSNRsPam4FAgAug1tfXueiqr68PJpMJ4+Pj0Ov1AAC/38+NRCqJPFF0sbW1lbmJQGnyNjc3o6mpiZ3McDgMjUbDslnUgpTScOQgLy8vIxKJsD7wdowiJVqtFsvLyxzJVqvVaGxsZEc8EokgFosxv9FgMPAGRZEWijpRsZiwKGy7WGQyGWQyGcteASUuJzk9SqWSD4dUKoVgMAiVSgWHw8EFdRTZAB5GwtPpdMXvhyLWHo+HLw6dnZ0s72M0Grm7FkWNGxoauEGF0+lkOgiNSz6fr7irEkWWZDIZN2oBSjdN2pDJaaaiI+KbKhQKdHR08GFGGxNFuiuNmAoPcXK8gVLL0I6ODgBgx4fwEP9WIpHAbDZj//79ZalQ4hFXGo0jLMKiE7/fj5aWFmxubkKn00GpVMJoNEIkEsHn82F9fZ0bT3R2diKdTvOlYWsToEqxbKU7hcNhNDc3I5PJ8OHZ3NzM0nfUUCabzcJsNiMej/NmXWsBGPCwCQZQynyQ00tUk6amJnR2dkKn0yEWi/ElhjI4NOerbUAkxAI8LO7J5/Nc4KXT6Zgnb7FY0NzcjEKhgEAgwBdNKrQBHjb+oeerFhNlDYDSBc5qtbLevFgsRktLC1paWuByueD3+8sOKjoEGxo+3t69GhPqKttsNrS2tkKtVvN6bW1txa5du9DV1YX5+Xmsrq6WFbnS7xKlqxos5HDRv7tcLuzfvx8qlYoDKG1tbejq6kJHRwcXC5NzLLx81DomQiwUJT179iyUSiV8Ph9isRicTicXzzscDuRyOcTjcXg8nrL5sZNYAKC5uRmvvvoqVCoVQqEQPB4PxGIxbDYbtFot2tvbOUiwtLTEgRrK7O7UXCkWi3C5XPid3/kdqNVqeL1ezM3NcdZXJpOhtbUVXV1dsNlseO+99zggSBS4WrHQeU+CA3/8x3/MRdMjIyO4du0a0uk0tFot7HY7+vv70d/fj/fee4/PDerqVysWoh05HA589atfxYsvvsjO8c9//nN861vfgsfj4TNo9+7dOHXqFC5cuMAZeJL8rLauDAD7YjabDSdPnsTevXshEokQiUTw//7f/8MPfvAD1lQnn/K5557D1atX+ZIZCoWQTCarxlGTigVQaik4OTnJKfze3l6u/CbvPRAIwG63Q6VSoaenBxKJBLt27YJEIkEoFOIXQhXhV65cgc/n425IjzKhs048F2rz6nQ6AZR4ZqTIQF385HI52tvbUSwW4XQ6odFo0NHRAa1Wi+7ubi5kkUqlkMvlXPCydRN9lJGDREU71JFMrVbzoU/V5dFoFCaTCalUiivTHQ4HtFotBgcHy1JtxH/1+/3bLn4iByMcDsPj8XDnLQAcgSsUClhZWcHa2hqn0GgR6vV66HQ6HDlyhBfv5cuXWREgHA5vO3pL/NpEIoFoNPqxVDFtNmtra5ibm+NDnjSCSdVC2L47lUrxHKQo/3axFItFjmAJoxDEJ8vlcggEArh79y6Ah3QBm80GiUSC/v5+jrICwIcffsjPIyx43I5RpEpY0CASiThzkMvlmDOdSqW4MySNB0V0aW5ev36dn4dSXNsZE8JCThRQWgP0PBQRXltb466LbrcbMpkMSqWSqRfkXI+OjnLRSC2V+MIaBuKj63Q67qa3sbGBRCKBsbExJJNJSCQStLe3s6MKgNVRqhX0Jy4dbdjU/TGfz8NoNEKj0aDtl1rD4XAY09PT8Hg8KBQKvMeQQsnKygoX9lQbVRFyV3U6Hbq6uvg9NDY2MhUln8/D4/GwWD5ljiglS91Dq+X9bsWiUqmwZ88ebrSTyWRgMBigUqmYV5/L5WC323k+0JhS9KfaCxVhoc+TyWQ4ePAgVCoVlpeXEQqFYDab0dXVhfb2dqjVakQiESiVSmSzWUSjUT6Ham36QNq+QGkNDQ8Pw2g0Yn5+HvPz89DpdPjMZz6DgYEBqFQqzkhls9myy1Q1jaoehYXWkEQiwdmzZ+F0OrmAPZ/P4+jRo2hubobT6eTiyfHx8bLgCBVoVxvdJyx0vopEIjz//PNobW2F1+vFjRs3sLy8jJaWFhiNRvT398NqtUIsFnMxrpBrXguVYSuWQqGAF154AW1tbfB4PHjzzTdx584dKJVKWK1W7Nu3D83NzTAajYjFYmUZoVrbtVOAhOatUqnEn/7pn6K/vx8LCwv4/ve/j3fffRerq6tQKBR46qmnuEhOJpNxsSlQewvurfuc1WrFCy+8AIfDgampKfzTP/0T3nrrLWxsbEAikeDUqVPo7e3FwYMH0dTUhJs3b5Y1WqsWy9Y1ZDAY2K90u9341re+hZ/+9Kdcx3bw4EHs3r0bJ0+eRH9/P6amphiHsPi2GqvIQRYujGw2y5XUp0+fZgd5dnYWi4uLOHToEGZnZ7GxsYFoNAq32w273c6H/tLSEktt0QSz2+0YGRnB5ubmp1Y1b8USCoUgEonKqoDHxsZw9epVnDhxAsvLy5ifn+dqd+pGY7FY4PV6odfruY0kYXG73cjn89tyjoHSJk9pdmHzhrGxMUxOTuLMmTOIRqMYHx9nx7Crqwv5fB5tbW2Qy+VIpVLcIQwoRVmpkK2SQ5VwJ5NJhMNh5kx5PB6MjIzg5MmTyGQyGB0dZR5la2srcrkcent7sXv3bthsNqyvr3M75nQ6jYsXL5bxD7djtKFlMhnE43GsrKwAKEVer127hsHBQaRSKczMzHDK2Gw2o1AooL29Hfv27UNXVxfi8TgGBwcBlN75L37xi7Joy3axNDQ0cCScbrzJZBJ3795Fe3s7d4wrFB6KwOdyObS1teHkyZPYt28fNBoNN6QRi8U4f/48F05V4hwDDyMiFAmYn5/HwsICrFYrisUi1tfXIZFIOIuQTqeh0+nQ39+PZ599luUKCcvFixe5Xfl2sAh5inR5AEpzeGJiAo2NjRzR1+l0WFlZQTgcRjAYRCaTgc1m41Qc4djc3MTo6GhV6XsyoVScXC5HLBZj3jwVfYyPj2NxcRHLy8ucmj1z5gyGh4f5mcLhMJaXl/l3K7nA0MVWyA+lCBelII1GI3fD9Hq9WF5exsLCAmQyGbq6ujA4OFhWOJxKpbgSvhosRAcDgI6ODrS3t8Nms3FTAY1Gg2AwyJSgUCjEag0GgwFLS0s8LsJmTkBlkWSKCFIGsL29Hfv370dHRwdfcqkLI0nKkYyWSqVCQ0MDR3oo+kUX9UrnCxV8EZbm5mYMDQ2ht7cX8XgciUQCRqMRNpsNxWKJky2sFaHGUY/CUgkGotXQeWi323Hw4EG0tbUhFApxQMhut7O0nEKhgMPhQDqdxtzcHDtulD6vlpv9KCxDQ0NwOBwIhUIccOnp6eGspcFggEQiQTAY5OZIQGk9VyvzRliUSiUHaux2O44fP84d80hlirqZUnYolUohFApxcTIAjmZWu6/QxZsobY2NjTh9+jR3bh0ZGYHP58Pg4CA6Ojpw8OBB6PV6xONxTE5OAniY+ZDJZDWPi06ng91uBwCm4shkMty+fRvnz5/HxsYGent7Ybfb8corrzAWj8fDmWgAZZmcarGYzWa4XC4ApWAnFdZevXoVV65cQTabRUdHB9RqNb7yla/wJerBgwfwer1lXTqrtYaGBjidTu6i2t3dDYPBAJFIhPfffx93796FWCxGU1MTxGIxXn/9dQ7ijY6O4sGDB2UNq2qJqNc0onRATE1NcbSNnJ979+6hr68PFosFs7OzuH37NuRyOfx+PxPvm5ub4XK5eOIPDg7i3//938uc3O0a8aZWVlYwNTUFAFyVS45oQ0MDbt26Bb/fzwVZTqcT7e3trLBBA3ngwAG8++67HMnbrlHnt2g0isuXLwN4yJ8MhUKw2WxYWVnhbm137tyBSCRCT08Pent7AYAVJYDS5Lh48WJVY0I843Q6jZs3bwJ42GY5Ho9DIpHA6/UiFAohlUphcnISIpEIS0tLzBvs6uqCTqcDAOzduxcXLlzglEUlJpPJIJFIkMvl+P1QgR6lQSKRCEeSZmdnIRKJ4PF44PF40NXVhSNHjjBf/eDBg7h06VJV8lAymYwdX+odT9Jcfr8f4XCY1SGA0kFFXHGKWL788sv8vX6/HxcvXqxKNouwSKVSVoygYhZ6L8KOcDT2crkcwWAQZrMZX/va1zhK1NnZiatXr5bJJ24XB9FgKKIfDoehVqtZzYIyJKTLTO8qGo1ifn4ezz//PNbX1wGUDh1ySCs1uVzOms/CVLxarYZEIuEL6+zsLNxuN5aWlrgtejgcht/vZ24n8JDLvLm5ydmMSrBQCo82YYvFwnQKm82GlpYWpsjMzc0hl8shkUjwZZkySQC4wIbmVCV7C0WMNBpNmYM8MDAAg8HAsnLhcBjZbJYj6PT8JpOJfw942JqWKs4rOUhIc5gKSoFSfYPT6URTUxM2NjbYyXS5XCgUSpKOJpMJra2t/D2kKkGZCyGW7b4nurzYbDbG0tjYCJlMBqvVis3NTe7MSEVGyWQSyWSS25m3trbi9u3bZeNC74j+7tOMOPwWi4Uddco0CCPWtM+srq5yoeuePXvgcDhgt9vL6DNCZ7CSuUuRycbGRpbg6uzs5HFPp9PQaDQwmUzcVbWxsREejwculwsWi6WM3kVFasIug9vFQhF+KoQHgH379nFGiOp1+vv7IRaL2Rn3+/38e0Lnj7KLRLmo1FGmmg+isR07dgwymQyBQABerxcajQadnZ0wGAw8DkT9IzUE4bMLlWEqxUJZj3379gEATpw4gXy+1Lp+cXEREokEu3fvhsvl4mJkqj+JxWIIBoNldRKVyphtxaLVanHixAkAwKlTp1hej2oY2tvb0d7ejp6eHjidTqytrWF+fh6bm5tYWFj4WG+AavXe9Xo9Pve5zwEAjhw5gra2Ns6gAqU9uLe3F+3t7WhpaYHX6+Xg6vj4+I70SwBqdJCDwSBGR0exsbHBGxNxmO7evcub3q1bt7C+vs63HQqfd3V14fDhwzhy5AiAUlX64cOHWSe3EotEInjw4AHi8TgfZAaDAfl8HqOjoyxYT0WA5FjNzc3h3r17aGlpweDgIIaGhgCUHLDPfOYzfGPcriUSCVocHV8AACAASURBVObSCsnuALjxQzKZ5EIVepF+vx+Tk5NwuVw4duwYj4nNZsOhQ4cqxgGAI47CSUqpar/fz05FLBYro7NQk4q2tjb09fXh8OHDAEoRxe7ubnZwKzFhpoDGhWTUSLcwFoux80M/m06nEQgEEI1GcfLkSS5WU6vVcDqdmJ2drRgLRRGFDSRIi5QKsIRjR4ueCnoMBgO+8IUv8MHT0tLCN9xKjdKWtLkBDyM/hIvmE3HF6YAg1QaNRsNpsaamJr5wVhOFEzYIUCgUfDkSi8U8XwKBADcOoYNLpVLBYDBg165dAEqOgUQiqSrKQ446XXqB0gXGZDJBLpfzgbW2tsZFihT1I0eJ+NkAWCezmjEhR12n06G5uRkAOBJrNpthsVggFov5ckdUqEKhAKPRiPb2dphMJgwMDAAoZQco01RppFTYmMNmswF4eCgSfYKyEEajkbM1KpWKFVkymQxfxKPRKNcgVFrAQljo0guUKFLr6+s4cuQIO16FQoHbuLvdbjQ2NqKnpwcbGxuYnp7mKFE4HOYmT5VGfOhyRzUvQGmtzszM4Pnnn8fu3bsRDocRiUQQDofZeSfu7eLiIlKpVBktQphJ2S4WoiFlMhnm4hMdrbGxEXq9HuFwGPfv34fH40EwGMSePXvQ3d2Njo4OuN1u1m0FPt6CuFLHizJfVH8ik8lgs9n48kAtv+fm5uD1enH69Gl0dnbCarVibGwM8/PzPJ8oI1ANFmHROe1xvb29TA+j5lDUtj2ZTOK1116DTqeDXC7HrVu3MDs7yzSlWigNtNc2NDRwsOWpp55Cb28vUqlUmWLQ6uoqNjY2OGMokUhw8eJFTE9P87hslVKrdFwoI0TO+unTp/m7pVIpmpqaMDg4yJRAWnO9vb34t3/7N7jdbnYaK5Uw24qFMlN0xp48eRIqlQoPHjxgLD09PaxuJJVKucj/u9/9LhYXF8vEGqrNGqpUKrhcLr40HD16FFKpFGNjY0zbIt/E4XDwedHc3Izvf//7WF5eLnOQa6Ep1eQg5/N5xONxLC8vc0EMpa9isRjW1tb4MEulUmVatsViEcvLyxCJRLwRUXqhmlRBPp9HMpnkIhDgYcQtk8lwBIEcQXLCyOFQqVTweDzMXw4Gg2W83Upw0POSwymRSDiaRNElYTUwcXFFIhFHHuh2LOx8VQ0W+icdYiqVigsPM5kMO+lCHioVgW1ubrJMFACu3q1GX5GwCPUQhdI9QpzCzyfnMJ/Pw263lxVWCBtVVIqFUrKES6/X838T75awEEaKmGYyGZbUAUqbC3FiK023kXoEOaIAuPGFkDdLEl1CZ4ayAUItb5rL1HFvu5bL5bjogqKM3d3dZTJCq6ur3EiGtCWBUrTObDZDJBKxY0DRKapmrsSy2SxLDBK9p6enB319fVhfX4dWq0UwGEQwGOSuSbRJEsdUKEHZ2trKl3PapyrBQpJpbb9sgNHT04MDBw4gkUhAp9OxvrnVasXGxgbi8ThUKhWOHTuG3bt3Q6PRsPO1f/9+LC8vY3p6mgtEt2s0VymyBYCLk6m4lLIPtA+TOsqxY8eg1Wq5MQ89WywWw7179yoaF2EEkfiCAFi9gqgLfX19CIVCkMlkZQdbZ2cnRCIRjEYjjwtxlNPpNM/l7WKhSJUwGEDvnviddHEjehUA9Pf3w+FwYGZmBvl8ntcuKX0IqSfbxSGUH6MxofVSKBSYV6vX67mQcNeuXTCZTPjggw+Ykgg8rE+g8aa/2y4eIS4ArM5DRYh2u50bJhHlwOFwQK1W4+7du/D7/ezwbH2uSi6+tIfK5XK++LtcLt5vU6kUWlpa8OGHH5YFmIiT/otf/KKsWy85/sLn3K5RZ0GNRsOXM5fLVRbNbm9vh8fj4SxrOByGUqlEKpXC+fPnWRKPrNoaC8Ki0+mY1mAymbg2aGNjA7t27WKljGKx1O+BslCXL19GJBLhebu1sHm7RoERCgQQ9YQa6ExPT8Pv92NgYABOp5Opbh999BHi8TgcDgdu3LjBAS7huFSKg4r2qSgfKK1H6oIZCoWwa9cuzkDodDpcuXIFoVAIOp2OL1jCOqdaLlS1kVYERlFbKkCj6KxYLMb6+jpHBojX1dDQUNasAygN0P3796vm9FA4nbDQrSuXy/GmK6z0JLklSi04nU6OrlgsFpaNqmQzoIiORCIpK0gAUOYYUmSQbm7k8NhsNjidTnR1dQEAjxEVvlQaRaD0KmEhgX7ivpEjJjzsCoUC1Go1mpqa2BGlMVGr1ezYVopFJpOxlBBQilAS75p0N0OhEM8TuoWSvizJs5FROrZSo8IVg8HA40J8O7/fD61Wi0KhwJctqVTK0k/d3d0YHh7myBsAVmqpqkr2lwe4wWBgrqBer4fBYODiSUqz5vN55m42NDTg6aefxrPPPssZCQBc3FqpyWQy1ummNdDY2AibzYZCoQClUgmZTMYqM2azmRUavvjFL+LUqVMoFAr8fuhwq+YGT5+rUqlw8OBBACUnt7m5meWWJBIJFhcXue22TqeD0+nE2bNn0dPTw5qlQOnQIT3MSh1kWju5XI4PsaamJqZ/EAXFarVyKri9vZ25xxKJBH6/n6MyNG8oeleJUevgeDxexs2Ox+PQarUoFosc9ac1ZLFY0NHRAYvFgng8jmg0ivb2dgCleUvzr5JDhDjrhUIBsVisrJCSOnPSpUClUvEeSpKa2WwWm5ubZc9P+1+lBViEhRwtYRMmuuyq1Wro9XoMDAwwtnQ6DavVioWFBczNzeH27dtlZwQ5YdvFQjgowEAZHWr9XSgUmBpz8OBBDohQQ5M7d+7g0qVLuHv3blnjB9pnKz3kKTtGUXwy6tpqt9uRSqWwe/duHDx4kPeZbDaLy5cv48KFC5ifn/+YrFs1nE4KqtC5CzyMjhuNRshkMvh8Phw+fJjbupNyxdjYGEZGRsq6LlYbySYstJeTn7G5uQmpVAqHwwGxWMyUTDqrpFIpJiYmcOnSJczOznITrWq+fysWiggTlkwmA5lMhqamJo6mdnV1MfXtzp07mJiYwOjoKBYWFsreb7VYKNOvUqmgUqn4XKOgCSnBNDc3o6+vj5s2/f3f/z3rRXu93qq7uApxaLVaGAwGpoECD+k97e3tsFgsaGtrw8DAAEKhEEZHR/H+++8jnU4jGo0y5aSW9yK0mhuFACXHjx4ml8vxbSQQCCAej5f1KidHaHh4GHv37mXBcqB0AFy7dq2sxex2TRjFIFwUVRGLxVwpLOwVbrVakUwmcejQIZw5cwZ//ud/zhHKQCCAixcvYmNjo6LBJh1aOqCAUkRQpVIhm81yipoWGKW9EokEjh8/js9+9rP4vd/7PXZK3W435ubm2HGsxEj1QVjJTAUZVJhH2sR0YXE6nUin03jppZdw6NAhPPvss+xEbmxsIBgMVqwNTc9JDjE5ggcOHGBeOqWlqSiFLixSqRSvv/46yzPRXHK73R+7yW/XiG+u0WjYWTh+/Di38F1YWOA0jUKhgMFggM1mg9Vqxde+9jVYLBbY7XaWE7x9+3bVDW6I3yqMcvX39zNnkzjRQEk9gS44+/bt43kiEok4tXzv3r2yVqzbfU/CMaF0H0VWLBYLN0ehP7FYDIlEAqdOncKzzz7LBw69n/X1dZ5XlXbfEnJtidbQ1dXFRT7kcDmdTr5IxGIxDA0Noa2t7WNRSFKM8fv9XCxWCdcWQNnFjLIq1FlLr9fDYrGwck+hUEBPTw9LCVJGBihFNtVqNUf+K8FCdIZUKsX7rVKpxOrqKmcN6MClhkmkixyNRrG6ugq/389rhhz1WCxW8YWXoptCnV6lUonp6Wm+mJDjTXOUItgzMzOYmZnBwsIC8+6pSVQ1lzs6EIXRRLFYjPv372NkZAQHDx7kdUy61bFYDGNjY/jFL36B0dFRLC4uljXbqUadgBxHkqwDSnPv6tWrOHXqFAYGBmC1WtHR0YFoNAqRSISVlRXcvHkTP/nJT3Dz5k0EAoGyMailwAgAPysAjI+Pw2azoaenh4uxWlpaOMo9OzuLd999FxcuXMDs7GxVtSa/CgddsAHgypUrsFgsMBqNfBHfv38/4vE40uk0bt26xU1DIpFI2TqpdTxkMhn0ej3cbjcA4MaNG3jmmWdY/lSv10OhUGBjYwOBQADXrl3DW2+9xSoNO+WAUVDC5XIxVfDu3bvo6+tDQ0MD12kZjUb4fD6MjIzgRz/6ESYnJ7G4uFhxke+vMlLs6Onp4Yzh4uIiZ20pqgsAb775Jv7u7/6OJQl3Cgdxw51OJ+/jQMnvIOUiqudaXl7GP/zDP+A73/kOn4875RQLrWaKBUUShPqG1JWMZH9u3brFHZWE2rsGgwHBYJAjVgCqojUAD287QmkopVIJs9nMvMS+vj78+Mc/htfrLeuiJBKVRNvdbjc6Ozv5M6spuqJbP00qAFy0IRKJkEgk8MILL+Ddd9/F/Pw8H2h0s3W5XFhdXWWn1OfzYWlpqarUCVWNy+VyPrS6urq40MBkMuHpp5/GrVu3sLi4yA7S5uYmjEYjK0fQpjYyMoKJiYmqsNDtkoj+ADgi2NbWBq/Xi8OHD7NCgkKhgF6vh8lk4ohcoVDA+Pg4AODtt98uawpTKRaKDJMD5nA4oFAosGfPHm5pTClb2lR37dqFtrY2riIeGRkBUNrsV1dXqzpMhHQfojaYTCZYrVau8CanKpPJwOfzIZlM4siRIxw1dLvdXGA0PT2N9fX1ihuoEDWILk5Aad52d3ejq6uLtbhJr9rj8cDv92P//v0oFouIx+OYmJjArVu3AAAPHjzgCG+lEQ6iS1EbUaDkHFKKL51O88Uyn8/D6XQiEAhAr9cjGAxiY2MDo6OjXMswOzsLj8fD1KJKxoUu/2q1Gvfu3QMALqp1OByQyWRwuVxobGxEMpmE3W7npjgzMzNYWVnB5OQk8ycnJiawuLjIhXSVYKH9SCKR8LNlMhlYrVYMDg4yrUGlUvGFibSHp6amMDExwQU1QKnT3YMHDxAOhyueu7Q+RCIRz5eRkRE+vLu7uzE4OMgc2FgsBo1GA6/XC7/fj8XFRXg8HsaSSqVYdq5So7oF4SG9tLTEaeqnnnoKfX19rAlNMlVutxterxcrKyus2w08pOZVus/RWiZaHwAuNvubv/kbfOlLX8KePXvQ1NQEr9eLjY0NuN1uvPvuu5idncXq6moZ11fofFRqhKVYLJZp9gYCAQSDQTz//PNchEfFlD/60Y/wk5/8hItdhXOiWgeIqDj0fmmufPTRR9BqtYhGoyx35/P5uOjrBz/4AcbGxjjjuxOOOmGJx+OYn59nBRWdTofW1lbYbDZ0d3cDKNULvf/++/joo49w+/ZtrKyscMH+TmGhjOns7Cw7yFTQSRmxTCaDCxcu4L333sNPf/pTrK2tIZPJlHWpq9UoAxMIBLC0tMTjolAo8Nxzz8FoNHLA8zvf+Q6+973v8RlJF+udwpFKpViRiPwOq9WKgwcPsqLX7du38cYbb3BtWS0ybp+K6bF9ct3qVre61a1udatb3er2v9B2hIMspDU0NTWhv7+fK+m7urpYG5T4NLlcDgMDA5y6JSrC2toapw4rNbrFbG5uckqpp6cHBw8ehNFohFKpxO7du5FIJPDRRx8xV08kEuHIkSNoamrCysoKKxNMTU3xDaYSo/TL5uYmh/5JFsVms3HEtLW1Fffv30csFsPCwgJUKhUOHz4Mu92OmZkZplh89NFHZd2VKjGKIlBUAyhFEUgapaGhAQ6HA8899xxrdN66dQt2ux29vb0wm80YHx/H9PQ0AOD8+fPwer1V3aCF0ViKEkWjUezZswc9PT2sImE0GpFOpxGPxzE3N8cpwEKhgA8//BBvvvkmAODmzZtlGpCVmDASR9GVUCiEgYEBLgAoFouw2+1ccEmSTBQ5vXTpEt59910AJWWCaiJOAJiWkE6nObqSz+eh1Wq5A1k+n+fucMLiNCpqeeedd1hZZGVlBYlEomIsyWSSG29Q6pEaxlDBhMlkgslkYpksqVSKUCiEixcvYnFxER988AHP+dXVVVZ2qHTuEsd2bW2NG59EIhHW6ibJMo1Gg0AgwKo0Ho8H165dg9vtZhUd4GGnw2o4clRwF4vFeB1sbGzg7t27PF+Hh4chkUi4IY9Go8HU1BTu37/PDVUo/R8KhRCJRKqKDCYSCeaJEuc8EAhALpdjcnISCoUCra2tWFlZQTKZZPWMqakploTyer28V6dSKW7DWqml02muEaC9hd7bxsYG7ty5gwsXLrBWPvFe19bWoFKpuFumsD6j2sYYwiJjosLQZ42OjmJpaQmNjY3c3IgURqhzaDQa5WcAqu92KIyoEcWCdN2vX7+OhYUFDA4OcubH6/UimUyy7j3NT6G0XLWROfp+4TyLRqPcGfTKlSu8t1ITk6mpKZZGpTkhlJyrBguNBRUG0ufOz8/jO9/5Dn7+85/jzJkzaGlpwZUrV5BIJHD16lVeI5QVBrAj40LvSEh7unnzJlZXV9HW1oY//MM/hF6vxxtvvMGRfcIv/CPUja8WSyaT4QJrGpf33nsPS0tLGBwcxMsvvwy/34+//du/hdvt5jqXrViEY12N0Rqmjq5ENfre974Hr9eLwcFBGAwGXL58Gd/+9rc/Rm18VK1JtXMlEomwjjv5X9R0qLm5GVevXsU///M/4/79+49sjFKpXOWnmaiSDxKJRB/7YQJEPGKdToe+vj7Y7XZotVosLS1BIpFAp9NxRxYqAPvMZz4Dg8HAqcv/+I//wEcfffSxDapYLH6sVPVRWGgxkxKEw+HAiRMn0NvbC4fDwZwas9kMsViMH//4xzAYDOju7sbRo0cxMzODd955BwDws5/9jDf3X4XlUThoURPX1mq14uzZs9i7dy/sdjvW19exf/9+2Gw2BAIB/Mu//Ava2tqwd+9eNDc347//+7/xwx/+EABw//59LujYkvLa1phIpVJORwOltPkLL7yAoaEh2O12JBIJ7N69G3q9HqlUCu+//z4aGxu5YOZf//Vf8dZbbwEoORpCWk2lWORyOXOMgNJcee6553Do0CF2wtra2lh7kbSQZ2Zm4Pf78d3vfhd37twB8LBKfSt3cjtYSEbNZDIxpUehUOD06dM4dOgQWltb0dTUBJfLBZFIhFgsBq/Xi0gkwpvm1atXueGCkJ8qtO1ioap/mrc6nY5T+N3d3ejr64PVakUikYDf70ckEsHc3BwuXLiAQCAAj8fDjuknHeyfNm+pWFSosavVapn3PDAwwJXD1FlSKpViZGQEY2Nj3MZ9G9JYt4vF4qFPw0K8ebpoE087k8nAbrejo6MDkUgEoVCIKSlEFRKq5vwq2+77IdoWPRPhI8qQ1WplqUS73Q6j0chOKVFXPs0JrQSLUH2Fio1VKhU3ZaEDnWSy/H4/OyfbcXS2iwUo8Si3asIqFIqy7yOKkkQi4fqF7RbjVYJlq9oPrS1hdb/QsRBK7W3nHNzOGgIeFosLv4+KoEjJIZPJcDteUlLa7llcyZgIVUZofKjduPDdkQxqFbzrit4PUTFJzULYgIcK8bZKyu00FnoftLeQGpJYLGYKF1EIqqVTbAeLsPsjvRuq22hoaIDRaEQ0GsXKykpNl4LtYCEqpt1uL3tm4tOTzGi1xeifhGUrDjqDWltby1TAyHkW1irtJI5Pspod5K1GAvJ00FJklApplpeXuUrxwIEDMBgMeOONNwCAuZPkDNJtf7sOmOD/AQAL2RMHWCKR4NixY1hZWUFDQwNmZ2fhdDqZ77q8vIz33nsPAJjjI+TYPArLdnCQ4+d0Ovkge+qpp+D3+yEWizE3N8ftT5eWlnDv3j2OVgmFt4VczkrHhDZs4oX39vZCoVAgGAxiaGgI4XAYdrsdHo8HOp0OGxsbHDEm0j7NFeFtsRYsNC4dHR0sqXTgwAEApUvO4uIiIpEIZmdnMTExgXQ6XRbpqRWLMBJA+r9qtRpKpRJ6vR52u51Fy0OhEBYWFuD1ellNZKsDVo2zLvxdOsgoglP8ZXUxSWdR8RXJGQrbeVbqgP2q9yM8UIknS04YfY9Op+PCKooSb7PQ61Md5C3/jzGRc0fydvS95DiTWsB2rdJ5K8REz0m1A/S+lEolt3KvZG+tFYtw/tB/k7xapcWjtWChfwrHhNZZNRH8arEIHVS5XF4WZQawI1i2g4PeCTlCVCQOgFVfKj3oqx0ToVoU7bfC/eNxOaVb/h8AlEWpaQ//tAvtTmIRzgXhfktYqim4rhSLcO2SyWSyj+2ntXKet+usC58fwCMLmmuNzH7aGqKslLCLpfAc2qnI8G/MQQYeyovl83mWyCIaBv0dtbZMp9McSqcXBJQf+LVs2HRT3tzcZAUA0lmlTkUajYaLcYQUD5q4v8rp2S4OtVrNTTFIwowqMskRUqvViEajiMfjOxL9+iQspPkbiUTKOt5QZztyQiKRyLYKJGrBQtX8VCwpdJ6LxSI7GsJCnMeBBcDHHAzCKJVKIRKJGMt2N61asAidMCEWoVpLBU5pVfP2kzARjuIvi4gqtIoc5O0YYfl1OV9bfr5s/KtN8T0uLNUcro8Dy3bn6f8mLJXi2Po+nqT3U63tBJadsjqW/31YnhQcn2SPxUEWmvAmQA6wUqlk/c7t3KB36gULoxqEhVQkSGe2UizVODxCAXrCQfJw21XO2Cnn61FY6M92oxs79X62OhfCKNB2Ixw7heVRh+qW7/m1Yfk0bNuxx7ExVXnI7riDXK09yQfHTmD5TTqlTyoWSrHvhGNa65j8Jh3knbI6ljqWWrA8KTg+yXasUcgn2dYIU6FQQCKRYK3WnQqZb8e2pk1IfqaWXt3bNeFzPgoH8Qd/HePxaVgq1dDdKdv6Dh73O/lVtvXZf91j8avsScHypOCo26PtSXo/TwqWnUzT1mq/yf2tbnWr26dbpQ5yAMDiTnxxBanZ1seNpYKN6lFYdgxHBRv3Yx+TJwlLBVbH8mh7rPO2QntSsDzp7weoY3nSsTwpOIA6ljqWR9uTjuVJwfFIq4hiUbe61a1udatb3epWt7r9X7d6o5C61a1udatb3epWt7rVTWB1B7ludatb3epWt7rVrW51E1jdQa5b3epWt7rVrW51q1vdBFZ3kOtWt7rVrW51q1vd6lY3gVWkYvEkadY9KVieFBx1LHUslWD5TeEAECgWi5YnAcuT/H7+L2LZCf3uncTyy8+vGsv/tfdTx1LH8uvG8qTg+CTbcR3kra1/f5P2pGAhHNUK1O+kCbuyPSlYSId66zv6dWoxUwMBIZad6EpWCxZqDbu1Le7W5i6PG4dUKuUmNvS9ol+2MqaOfhWMTVWSPkIs1BmTGvuIxWIoFAr+uyq6+1WMBSi1hVWpVMhmszwOcrkcSqUSsVgMuVyOO2I+rvckxKLX68t0zXU6HWQyGTY2NpBOp5FKpR67DjDNW5PJxB05GxoaYLFYIJVKsbq6ing8jmg0yprrjxuLSqXicRGLxdi1axfa2tqwtraGpaUleL3esjW20/sOdZ6kjrJ0FlitVtjtdiiVSoTDYbjd7o81inoc70osFkMkEvH6EXZ6NRgMkEgkWF1dRTKZLBuTx/GuHtV5UiaToVgsQiqVQqFQIJPJ8NwlLI9jjT/qvVNzMWrmBaCsgRa1UP91mLDpmrADrvD/19que7smfG/Cc5P2I4lEgkwm82vBIjQaI2oyJpFIsLm5WfXn7ZiDvNXZeVyTuBIswgn1m8AixEET6TclVC/EQhNaeCgI8dHPP+5DXSwWo6GhAVKpFLlcjjca4aWmmkhPNVgkEgnEYjGUSiUkEgkSiQSKxWKZA0iL7nFduoTjIpVK0djYCLPZjLW1NeTzeaTTaeRyOeTzeUgkEhQFrZ53+kAnHHK5HBaLBa2trVhcXOT28PF4HOl0mtc7bcw7fYgKsSgUCtjtdnR3d2N1dRVGoxGFQgE+nw/BYJAPiM3NzbKx2WlraGiATCaD2WxGf38/8vk82traIJFI4PF4MD8/D5FIhHQ6zU7G4zpEyflSqVRoaWmBy+XC0aNHYTKZMDc3h5s3byKXy/FBn8/nH5vT3tDQwHuLRCJBb28vnn32WfT19cHj8eDixYtIJBIQ/bJtey6X48Prcawl2sPy+TzUajXsdjsOHjyIs2fPolAoYHx8HDqdDul0GtFoFKlUasexEA4AfC5KJBLo9Xo888wzOHLkCGw2GxYWFvDmm29ienoaoVAIwM6fWYSFxkUYuFGr1RgaGsLZs2ehVqtx+fJl/PznP8fGxgYA7LjjtbUzqfC/RSIRLBYLDhw4gI6ODkSjUXzwwQc8Lslk8rGs7UcFaEQiEeRyOYxGIxwOBxQKBZaWlniuJBKJX4uDLPSv5HI5GhsboVarEYlE+FxKJBKIRCKPHQvw8GymS4xSqUSxWIRCoQAApFIp+P3+XwsW2gNlMhnUajVEIhFUKhUAYHNzE6urq1V/9o44yDKZDHK5HABgtVqRSqUQj8eRz+c5GkeHVzab5Rf6OCa5XC7nl+RyuZDJZBAMBstuXCKRCMlkEul0GmKxGAA+5pztBA4aE4vFApFIhHg8DrVaDYVCwc5OLBZDNBqFVCpFsVhEJpMpw7ATeORyOaRSKQDAYDBAoVAgl8vBYDBAo9Egm80inU4jEAggEAhAJpMhn89jc3Nzx6MZMpkMMpkMAKDRaKDT6aBUKmE2m2E2m5FOpxEKhbC2toaVlZWyCIIwyrxT40JRAbVaDavVCovFAqfTCbvdjnQ6jWAwCI/Hg8nJSSiVSiQSCcTj8bLo105gkUql/I40Gg36+vrQ29uLpqYmmM1miEQihMNhjI6O4vLly1AoFAiHwxyp3CksUqmUx0Sr1eLo0aM4cOAADAYDlEollEolcrkcbt68iYsXL0IkEiEYDCIcDpcdojvhKEskEh4To9GI4eFh7N+/H3K5HDqdDjqdDiKRCDdu3MDFixeRTqcRDoexsbFRjdUhxQAAIABJREFUto52Agtd5ABAr9dj//796OnpgVqtRm9vL2w2GwDgypUrSCQSaGho4D1QGBXcKSy0b0mlUphMJlitVrS3t+Nzn/sc+vv7IZFIEIlE+PACSofF5ubmju51dDgRLooYi0QiDA4O4plnnoHL5UI4HEYikUA2m+W5Low47TQWocOVz+ehUqnQ09ODl19+GVarFQ8ePOD3o9Fo+J3Rz9dqtIYoSEOOukQigVarxdmzZ/Hbv/3b0Ol0iMfjWFxcRHt7OwKBAJLJJACURU1rMRoTmUzGlyQ6kxsaGqDRaHD8+HG88MILGBwcxObmJsLhMObm5vgCEw6Ha8axFQtlewgL/XE6nTh79iy+8pWvQKvVYmxsDOFwGGNjYwCA5eXlHXHY6X1vzRpSgIIungqFAsPDwzh69Ci8Xi8mJyextrYGAHC73Uin0zW/J+F83Zq5FAa1CoUCHA4HXn75ZYRCIayurvKe4na7EYvFHltWRni5IjyNjY04ceIEFAoFjxsAjIyMYGNj47FnXWnNW61WdHV1wWazoampCRqNBgBw/fp1+Hy+qnHU5CDTIJnNZvT19QEAvvrVryISicDtdmNqagoulwsGgwGhUAjhcBj3799HJBKBWCxGKBRCLpcru2FXO9EIi9FoZCzf/OY3kU6nMTIyAp/Ph127dsFkMsHv9yMYDOLy5cvw+XwQiUTw+XxlKYFqsQhxDA4OAgC+/vWvI5fLYWlpCaFQCD09PbBarQgEAgiFQvjZz34Gj8eDTCYDr9fLETAAvIHUMiYGgwF79uwBAHzpS1+CVCplp9Nms8HpdCIUCsHn8+Gdd97B0tIS4vE4vF5v2eKvBQtQWux6vR579+4FALz44ovQ6XQcCdRoNJwSDgQCuH79OtxuNwKBAJaXl7k9+U5h0Wg0PC5nzpxBU1MTWlpa+LKSTqeRzWYRDodx8+ZNzMzMYHV1FQsLC0ilUjxva8VCN97u7m4AwIkTJzA4OIju7m7o9Xqk02n4fD50dHTAbrfDZDJhenoaPp8Pi4uLHM0Aal9DMpkMra2lRkNHjhzBmTNnMDAwAJlMhnA4jPn5eWg0GrS3tyOXy2F8fJwvnMJxqDUDQZG25uZmAMDg4CBOnz6Nffv2QSaTIZlMYn5+np2ytrY2TExMQKVSIRKJ7HjKXCwWo7GxEUApCNDa2opjx47BbDbDYrEgEokgEokgnU5DrVZjaWmJnUXCsFNYGhoaOEJC76ypqQnPPvssTpw4AY1Gg+XlZYTDYRSLRUSj0TJHbaex0KFIDg9Fj1966SUcOHAAwWAQfr8f8XgckUikzDki2wksQgeZLgE0Vu3t7fjyl7+MM2fOIBAI4MMPP8SNGzcQjUYRDAbL0uY7MXeFOOgiQNG2/v5+fPOb38Thw4exvLyMS5cuYWpqChMTEwgGg2URyZ16RwDKLmpE+TAYDDh58iT++q//Gna7Hfl8Hn6/H16vF+FwmB1koYNWi9HcEwZfKCqq0WhgMBjwhS98Ad/4xjfgcDiQyWQwMzMDsVhchoXoKjthW/ctouVoNBq0tLTgtddew7lz5yCXy3Hx4kXOMAKlYAZl03bCHhXFBh5mrfbs2YM/+7M/w8DAAO7fvw+v1wu3280/v76+jlgsVhOGX3VppbksEongcDjw+uuv49y5c8hms4jH44wllUphdnYW0Wi0JiyfZsViEWq1GgcOHMBLL72E1tZWSKVSLC8vAwD8fj/UanXVY1KTg0wL7Ny5c+jv7wcAHD16FI2NjfD7/Uin03C73dDpdEgmk9Bqtbh06RJmZmaQSCRw7do1jqQCpYla7aQXi8V8MycH7NixYzAajRgaGkKhUODBymQyUCgUaGtrw9TUFMLhMC5cuIB4PM43U2EqshocL730Ek6cOAEAeOaZZ6DT6RAKhdjh0ul0PNlMJhNGR0fh9XrxwQcfIBaLlW0G1d6W6QZ89uxZxnL69GmYTCbma4ZCIWi1WjQ3NyOfz0OhUODu3buYn59HLBZDQ0PDjmGRyWTYv38/nn/+eQDAqVOnYLfbOZq0vr6OZDIJtVqNtrY26HQ63L17FxMTE5xeE2Ih+kOlRof6rl27cPbsWQCledve3g61Wo18Po+FhQWsra1Br9ejubmZN/FisQifz4disbhjWMRiMZqamnDs2DEAwNDQELq7u6HVapHNZuH1ejEyMgKXywWZTIbu7m6kUimkUinI5XKOUhKWahx2OgBNJhNfMI8cOYLe3l4YjUZEo1EsLS3h7bffhsPhgFwuh81mw9raGnK5HDs9teKg3xWJRNBoNLBarQCAtrY2GI1G5hrH43FcuHCB+dhqtRpqtRqpVIojz0IHuRYsQCniJYwgq9VquFwuaLVaaDQaXL9+HVNTU/B6vZBIJFAoFMjn8xxV2UksQsdbq9XC4XDgmWeewdDQEBwOB9xuN86fP4+ZmRnmRQPgCJ2QR74Tlzt6NuKHd3d344tf/CL27duHaDSKCxcuMNWDslnkoAkpQrVc7rZioaibVqtlZ/3o0aMAgKtXr+LDDz+E1+vliCpFUwlLhbz6MhNyQ4WUE51OB5fLha9//esYHBxEoVDA1NQUzp8/jzt37nCUVviea+XUC51aIW9WIpFAo9Hg6NGj+Ku/+isMDAwgHA5jdnYWH3zwASYmJj7Gtd0JR/2TaAw6nQ5OpxOf/exn8frrr8Nms6FQKGBxcZEj2XT20HuqFcsnGUWN+/v78dWvfhWnTp2CxWLB+vo6r6GdjIwKsXxSHY5cLsepU6fwyiuvYO/evRy9jcVinJGt5cKwlXbzKBP+vU6nw7Fjx/gMTyaTXIsBoGqHVBih3s58k0qlsFgsnAGRSCRYWFjg719bW6tpvlTtIItEIk5ZNTc3Y3h4GAAQiURQLBaRSqXg8/mQy+X40IzH4xCLxWhtbUU8Hsf09DTf3oGP82ArwdLR0YEXX3wRbW1t+OxnPwug9JLoEPD5fPD5fGWFK4VCAa2trdDpdLBarWVYyXmtFIvL5cILL7yA4eFhPP300wDAt6vNzU3Mzs4iGAzCaDSisbGRn7+jowMajQaTk5PI5XJ8I60WBwCYTCYMDw9jeHgYTz31FH9eJBJBPB7H7Ows0z5sNhvW19eRy+XQ09MDlUqFhYUFjiLXikWtVqO/vx8nTpzAoUOHAJQOgFAohHg8jvv373Nq0eVyIRAIQCqVoqurC8ViEQsLC8wvJSzVmlwuR2trKw4fPsxRW4lEgpWVFaTTady6dQuJRALRaBSdnZ1IJpNwOp1ob2/nyOVOYaHIZH9/P1paWgCAnXCfz4cbN27A5/PB7/cjk8kgkUigs7MTbW1t2NzchMfjQTab5XlbS/RYLpfD4XAwDo1GwxeksbExdiooQtbd3Y2Ojg40NDRgZWVlR3AIx4UibkBpLjc1NcFgMGBpaQlXrlzB/Pw81Go15HI5mpqa0NbWhvX1dfh8PmSz2bLMVC1GDgUdRHK5HF1dXbDb7QCAa9eu4erVq7wpq1QqOJ1OhMNhBAKBT0yfVmPkcBGWxsZGdHV1wWw2QywWY3p6Gh9++CHcbjcfViaTCel0GhsbG2Xrt9r9VoiFIm4A+LJAlI9MJoPx8XFMTEwgmUwil8vBaDSioaEBgUDgE52BarEAD50Nok8ZDAYcOHAAJ06cgEqlwtraGu7fvw+/3w+FQsER9lqd863PIKSdAIBCoUBrayvOnTuH06dPQyQSYXR0FO+88w4WFhaYbreTdCkhJiE2qm/o6OjA7/7u76Krqwv5fB7r6+u4c+cObt68yeeQ8DO28oYrNWH2gj6TIvxarRY9PT04d+4cnE4nMpkMVlZW8KMf/QhXr14ti0TuFJatNSU0l+VyOZxOJ1577TWcPn2aM+A3btzA1NQUB7oA7Egh2tZxIROJRFAoFFCpVHj66afxJ3/yJ+jp6UE2m8X09DRisVhZoCYSiVS91wnpaJ80trQXq1QqnDhxAn/xF38Bs9mM9fV1yOXysr2AIuzV4vhVc59quuiS8Ad/8Ac4d+4cz6OlpSUYDAZ+HlqL1VhdB7ludatb3epWt7rVrW51E1jVEWSJRIIXXngB+/btw8bGBldPXr9+neWgpqamsLi4iGQyyVGV7u5uOBwOLhKjdDXwkMBfaUqpoaEBL774Io4fP45QKMQ3quvXr0MmkyGRSGBiYgIjIyNIJBJc0dzX1we73Q6NRgOj0YjFxUXGQumtStIWDQ0NOHXqFA4fPoxsNsu33snJSQAlftDIyAimp6d5TGw2G/bs2YO2tjaoVCpYLJYyTlE1OIDS7XP//v04dOgQMpkMY5mbm0Mul8Pc3BympqawsbHBWEwmE/bv34/29nZ0d3fDarViaWmpZixAKUV+7Ngxfh80LolEApOTk8ylJSwGgwFDQ0NoaWlBV1cXLBYLVldXP5Z+rAaL2WzG0NAQtFotz5WRkRFks1lMTEzA4/Egl8shkUjg3r170Ov1GB4ehs1mQ3t7O8xmc1lksBYsCoUC7e3tXFQAALOzs3C5XJidncXs7CxEIhHPYaLk6HQ6NDc3w2g0IhaLlRUnVYNFLBZDp9OVRW0TiQTkcjlWV1extrYGhULBlAfibsrlctjtdhiNRqRSqZpxAA85icLbv0ajgcvlQqFQQDKZhEhUksmSy+UIBoMIhUJcsGYwGMok1mrBQtxRsVjMUYmWlhbs2bOHJd6i0SgUCgXXMmSzWaZaabVajgwC4CLhatOhEokEEokERqMRQKl4kfZUrVaLyclJJJNJSCQSBINBJBIJpNNpSCQSpqDQ/kpF1NVEnShaREVnALi6vqOjA1arFX6/nwuqVlZWEI/HkclkoNFooFary9L/hKNaLJT6Jm52Pp/nSOCRI0dgNpvh8Xhw8+ZNpvY1NDRAq9WWSeARlmooFoSjoaGB19Dm5ibTK44fP47XXnsNYrEY9+/fxz/+4z9icXERPp8PSqWS6w3oe0mxplqKhVAliLBQVLK3txdf//rXsXfvXhSLRdy9exe3b9/GW2+9xQVoKpWK98etBZ7VYBFysynySpKAR44cwec+9zm0tLQgHA7D6/XiP//zP3H9+nUkEgmmNQEPqZi10NqEUWghjUStVqOzsxNf/OIXcfr0achkMqyvr+Odd97B22+/jUKhAIPBwNFnpVLJn1dNRuaT0v+07zidTpw7dw5/9Ed/BLvdjmw2i/HxcbzxxhtM2aH5QoVy1WasflVUXiQqKYsYjUZ8/vOfx9NPPw2Xy4XFxUV8+9vfRmdnJ3p6ergg2Gw2QyaTVSVx+2ljSHS3jo4OnDx5EsPDw4jFYrh06RL27dsHsViMtrY2AMDu3btx9+5dpi9VKstXtYOcy+Vw584dnDlzBmfPnuUJf/nyZTx48ACJRIK1FMkhosInoSLBVpWEajbIfD6Pjz76CENDQ3j11Vd50l27dg0TExPY2NjA+vo6KxAADw9NKojbqjVbzWZdKBRw7do1uFwufOMb34BOpwMAjI6OYmRkBB6PB2tra0gkEiwjRptGNptlOahacQClsRwbG4PJZMLv//7v8+GeTqcxOjqK2dlZrK2tQSaT8ZiYTCZO3T7qwKpFt9Tr9WJqagqHDh3iDTsQCGBsbAxutxt+vx9Go5HHhVQThA6XcNHUgiUSiWB8fBxNTU28WNLpNBYWFphHarVamfKh1+uh0+mYL0z4hUV61WLZ3NzE/Px8meqJ2WzG/Pw8xsbGMD09jfb2dgSDQZaH0mg0PBZ0EJNVOy5EvXnw4AE7GVarFSsrK3jw4AEuXLgAg8GA5eVl5vgqlUouyiKHR/h51aaIhQWSc3NzAEpjTEoIly5dwuLiIpaXl7kynyhSCoUCWq2W5anod2vBQhd+j8cDoFTbkMvluGhxdHQU09PTLMVH/EmFQgGDwVCWbqw1lZ/L5ZBKpfj5urq6oFQqodPpEIvFMDIyguvXr2N1dRV+v58lFEkxZqvSSK1YaHwAsON76NAh2O123L9/H1evXsXY2Bi8Xi8fTjKZDFqtFvl8ngtMhZzdSjGRQgT9O/CQ279v3z7s2bMHm5ubuH37Nt59913Mz89DKpUim82yY1ooFBhLtcWdhEOIh/7earVieHgYVqsVwWAQFy9exI0bN5BKpfgCQ3UpZEKd4mre09aiTMIil8uxZ88eHDp0iIvF/+u//gs3btzA8vIyyztKpVL+XeIjP0q3eDtGF8OtRnUPzzzzDIaHhyGTyXDnzh28/fbbuHnzJqLRKNMetmKp1hEUFpoJjYqlT548iS996UvQ6/VYXV3FT3/6U1y/fh2xWIwpmmRUxC50BCu50Ajn2lZTKpV45ZVX8M1vfhMWiwXxeBxXrlzB3bt3kUwmYbVaIZFIeE0nk0kUi0WWACXt+u3arxpDuVyOl19+GS+99BI6OzuRz+dx/fp1DriRXCLRzMinEKq5CIvJq8UhkUhw8OBBHD58GDabDS0tLbh16xbS6TQSiQR27dqFTCbDZzftvVQ/JJVKK+JHV+0gF4tF3L59G6FQCI2NjfD5fADA0Uri/9JhS1WhCoUCEokE8Xj8YxzBWjho4+PjWFhYgNFo5IKuRCLBigxUyAOU+LA6nQ4KhYLlmB5VmFENluXlZbjdbqjVan5JgUAAHo8HGxsbkEqlZVp9BoOBFxxV3wvHpJrNiIzk0sRiMQKBAADA4/HA4/EgnU5DpVLxd6tUKjQ2NvKBGgqFeFPbCSypVAqhUAjJZJIrTN1uN2v80uFK42IymSAWi5FOpzk7sbXgpFosVChJPESgFN2nWyZhAR7Kv4lEItb/JU7qTnEFU6kU1tbWeK3o9XoEAgHWuCSlF4oe02GeTqchl8tZ1aEWLDS2iUSCI0jFYhHj4+MYHx/nw4EiBBaLBXK5nDdCmkvCy3C1h7uQG0gRrHg8zsWj09PTUCgU7JSTU0wbsFarhUKh4DEhqxYL7QvC+oTFxUXMzMxgZmYG0WiUMavVahgMBiSTScjlcqRSKQSDwR3BItwvhcWQZrMZm5ubWFpawuzsLCtGUKFjNpuFTqdjB57eEfG0a8FCnwOUDsHjx49jaGgI+XweN27cYOcYKK0rctapyYwQSy3jQn/oc5RKJQYGBvDKK69Ap9Oxru/U1BQAsDNKkXjKTNQyLsIxoX1cIpHAYrHg85//PLq6uvDgwQN8+OGHOH/+PHK5HBc2UrZBLBYzDnrHQnnSah1l+hy5XI7BwUEcP34cQKmI6e2338Z7772HYDAIqVTKZzWd0wA4cFEtFhpPIRbaz5555hk89dRTkEqlmJycxNtvv41bt25hc3OTz+rGxkbOgm5sbPD+m8vlPtYwY7sm5B7TuXPixAn81m/9FjQaDXw+Hz744AOcP38esVgMUqkUer0eKpUKer2ef5cu6SRhWwsWMrlcjmPHjuHLX/4yFAoFAoEAbt++je9973t88aV3QGdYoVCAUqlEoVDA5ubmjhQzEpZ9+/bh3LlzaG1tRT6fh9vtxv/8z/9gfX2dgwDC4kVa57lcDslksiYeMJlUKsXu3bvxl3/5l7DZbJifn2eFqUAgAJfLhZmZGWg0mrLLlMViYenhSsekJhULci6z2Sw7pXfu3MH09DRHCpqamtDf3w+j0Qij0Yjp6Wl4vV6kUik4HA4AYOctFouVOYmV2lbNxmvXrmF2dparyp1OJzo7O9HY2Ai9Xg+32414PI5gMAin04l8Ps/OQTQaRTQarRhLsVhkvVi6qdy5cwcrKyuQyWScGu/v72cci4uLiEaj8Hq9sNvt6O/v50OFCuqqSSfR4qEDGyhtiMViEUajkR3R3t5eWCwWNDY2Mo0hFArBZrNxUwbCkkqlqsJCmwbJugElR6atrQ3ZbBb5fJ6xmEwmOBwOdjx8Ph+cTidisVgZFkr5VYMll8tBrVajo6MDAFjSp7GxEWtrazCZTOjp6WGMFNVcW1uD3W5HIpHgiGI0GmXd3UqxUMRXrVaz5NzevXuRz+dhMBgwPT0Ng8EAh8MBiUSCnp4eyOVyjqZardayCCWtn0qx0MYml8u5SK+jowMqlQoikQibm5uQSqU4dOgQRCIRWltbIZPJEAgE4PP5YDaby0TziVZQTfRWqIpAmY/GxkY4HA52BEOhEJxOJwqFApxOJzQaDaLRKJLJJGMRFlESjmqxCAvjKBVLUS26+GazWaab0M/S5iyMlFaLhX6HilSAcjmzZDKJtbU1pNNpZDIZGAwGNDc3I5VK8SGaz+fZ0aBIXDWRZGEg4f+zd+axbZ9pfv9IvElRFCWKEnXft2TH8jV27omdbLLZBDuT3ezsoMhkdnqgRYvuH+0/BVr0n6LtFgsUxRaLKTCYLtBuZ7CTySSTSZyMczjxGVu2bluHdZ+USFEUSZGi2D+0zxPKcWYkSp64hR4gyExgk1++v/f3vs/xfb5PepO1w+HAbrcTj8fx+/3anOx0OikqKtJEhSh7SPArFbRMHEBZl/SsotDVysvLKSoqIhwOMz8/z8rKChaLBZfLpfQQcayXl5eBL+TQdluJSadoyHlnNpspLi5W6UapCk1MTKhTJveCBHwyYEHO2t/UOLWTdRGT5rxXXnmF559/nkgkwtWrV3nzzTf1fRUddI/Hg81m07tZzrhM7+Z7n4/IbL766qv8y3/5L7HZbIyNjfHjH/+YgYEB5ufn9d72eDxUVVXpve5wOLRykWnQkI5FGpRffvll/v2///cUFBTg9/v5yU9+wuXLlxkYGFDpt5qaGhoaGjRwkMzpvdWHTE2oFS+88AJ/8Rd/oc3zP//5z/noo4/o7u4GtvZ3bW0thw4d0meUk5OjCa5UKrVnrWihUXV2dvKjH/2I6upqVldXuXr1Ku+++y7Xr18nlUoxMzODy+XimWeeUT9DBm6JnN9eZPAkCDl27Bj/7b/9N5qamlRWUxKS8XicyclJkskkL7/8svpeQjmJxWIkk8kvJSp+m+1JxcJgMDA7O8vIyIg+pFQqpQMfrFYrJ0+e1JKk2Wzm9u3bylUzm80cP35cS8sDAwO8/fbb9+1w/m1YAKanpxkdHdWDzmg0aoeu3W7nm9/8JqdOnSIUCmGz2Zifn9dosLKykiNHjugB0N/fz/nz51lYWNh1mc3v9zMyMqIvjcFgoLOzU7Uejx07xqlTpwgGgzo0xG63Y7PZKCkp4ZFHHtFLrKenhytXruwaB2xdhqIhLGucn59PfX29HsoNDQ10dnYSCoVwOBxcvXpVu7vz8vJoamrSoGFgYEApK7vFIllpv9+v3f+tra14PB4dHlBWVkZbWxuBQACXy0VfX5+WYmVS2NjYGLDF0x0bG2N5eTmjdVlfXycWi6mzLhfpysoKwWCQoqIiGhoamJ6exuPx0NPTQ2lpKSaTiaKiIsrLyxkaGlIsc3NzGWGRA9XlclFbWwtAbW0teXl5VFVVMTs7i8fjob6+nunpabxeLwMDAxQWFlJQUEB1dTV37tyhv78fgJGREdUc322pz2AwUFBQoPrdokYge8XpdNLW1obf78fn8zE4OIjX66WqqopwOEx/f79m3u/evUs4HCYQCGRUqs7OziY3N5empiZgi3ZSXFyM1WolFAqxuLioCiOtra3Mz89r9iYajTI4OKhUGOmDWFlZyQiLXKCyb/Pz85X/PDMzw/T0tJbpOzs72dzcVP7d+vo6fX19+ixEz1sqbLvFAtt1kJ1Op2oxT01NqWPodDrp7OyksbERg8FAPB7X7ne5JGZnZ1UZZS8VGSmjio5tdna2nn0ej4fs7GxaWlpobW1V5zmVSumwDvltUhrdDzULh8NBWVkZJpOJSCTC5OSkOsYlJSU0Nzfj9Xr1/ZuYmNhWepULNVMskqnKycnhkUceoby8nKysLK5fv87CwgLJZBKXy0VxcbEONnA6nczMzGyrxkYiEXUE9yI7B1tOVWdnJ48//rhKE77zzjtMTk6SlZWl0+Kqq6upqalhfn6eu3fv6nqmUz72isVisdDW1sarr76qdJw333yTCxcuaEAn/PrOzk6Wlpa2KYIInQAyd0plr5hMJqqrq/n+979PZWUlMzMzvP322/zoRz8iEomQk5OjDunhw4d1uJd8d3rlOVO+eHo/S3FxMa+99hpVVVUsLi7yzjvv8Jd/+ZdEIhHy8/MxGAyUlpZSW1urPg+gHH95TntdF5kg+MQTT1BfX8/m5tbU0v/wH/4D4+PjuN1u4vE4JpNpGy0QtirVoVBIA99MewtgKwipr6/nO9/5DocOHSIejzM3N8cPf/hD+vr6sNlsOrzLYrHQ39+vfkJ/f78mZDPBsSsHOf2wyM7OpqGhgWPHjuF2u9WJkuyAZH4WFhYYGxujqqqKQCCgJWuv16v8XxHglyaTlZWVXXFnsrKyKCoq4tChQzrQANDZ8iUlJVgsFpaWlpT+MD8/j8lkUgdgfX1dHzZsRUATExMEg8EvTbf7KpNBGDU1NcTjcX1IsOUACV9QuJ4SeWZlZWmji2gUS1ZQGn9EtH2nh3V2drZOqJNoC76QFRMSvdBQRPYuHo9js9lwOp3YbDYSicS2ctLKygqhUGhX883FwcjJyWFxcVEdS/lvyWQSk8nE+vo68/PzTE9Pk0wmWV5e1qyTZObEMZCMWbpm9E6xmEwmLBYLc3NziuXIkSPqYEnDXDAYZGFhgYmJCaampigrKyORSODz+XQiopiMq93tvhVO8+Lioh50EsAEg0HVixUHZ2xsjMnJSZXukibT9GENIhm108M6HUc4HGZhYQHYOnBtNpvK+Mj3OBwO3aMyerq4uFg597CVEZyYmCAUCu360pDMhThvsMWvi0Qiml0zmUzbJMWi0ahWsoqLi3G5XOqkxWIxZmdnd7UmYjKBMz2Ll0wmyc7OJhaL6Zlos9koLy+nqamJUChEOBxWeUC73a4JhEgkog2ee6ESSMArI6/Tx2xbLBZaWlp49tlncbvdLC8vs7KyQm5uLjk5OVr5WFtb07MyEyfwXiwyATInJ4dvxTuuAAAgAElEQVTx8XGCwSBZWVvNwi+++CI+n4/NzU2tDNntduWYSwYzU0c9KytLzzxAm+IKCgqYnZ3VM0W0z6urqykqKtJKjEjkwdZ7L9zSTLHIOZWbm8vv/d7v4fP5CAQC9Pb24vf7yc/P59ChQ7S0tNDR0UE4HNZLXILMdMrSXhxSWROXy8Urr7xCRUUFq6urXL9+naGhIaxWK4WFhRQVFXHy5El8Pp9SYOSMM5lM++J4yefl5uby3e9+l8bGRtbX1+nt7eXzzz8nKyuL/Px83G43J0+epLOzk7y8PM1WimWa5U/HIvvWbrfz2muv8cgjj7C5ucnQ0BAff/wxiURCqYednZ089dRTFBUVKXccUEnWvWABFIvVauX73/8+TzzxBLDlaP7qV78iHA5jNBqx2Wy0trbywgsvUFNTw+XLl7eN4JbAYS9YZL+UlJTwgx/8gG9/+9taRfy7v/s7+vv72dzc1KqrjEy/efOmVr4DgYAG3plikXv48OHD/Pmf/znHjh1jc3OTYDDIf/kv/4Vz585pNbygoIBTp07x+7//+wwMDOhdOjs7q9LDmeDYtYMMW4ep2WzGaDQyOzvLxMSEZuLa29tZWFigoqKC8fFx5cHW1NSQTCbV6UrnCMoDcbvdvPTSS0SjUcbGxn7jnPP0C0a6zIeHhxkYGFDnvK6uTv/t9/u1rFVXV6f6w8FgUKke4lDD1kvz3HPPsba2xsjIyI7mvwvPZnBwkBs3bujnVlRU4HA4VNj77t27zMzMkJOTo81IUoaUhgRxSrOzszlz5gyxWIw7d+5s63L+TSbcyZGREW7evKnZScl0GY1GVldXWVhYoK+vT/lcFouFgoICTCYTTqeTvLy8bXPNNzY2CIfDqr+7UyzJZJLp6WkGBgYoKCjQ9V5aWtLLPRwOc+vWLZ24Jc1XFouF0tJSvF6vYolEIjowYnZ2dsdUC9k3wWBQm0jltwlPXHi/g4OD2uwkz83tdtPa2kpRUZE6pXIYhMNhFhcXd1wqlvdpfX1dDzfYckxXV1cZHx/HZDKxtrbG8vKyTream5vTIPTEiROUlpbq3pycnGR1dZXV1VUCgcCuDgVxruXvSHl8YmJC6QTT09NMTU2RSqWYnp7WwS51dXVUVVXpbxgdHVWaUvrAgZ2siTwjOWdg6yKanp5meHhYs2/CO15cXCQYDDI5OakDYHJzc9WZHhoa0gluu6HkpJdgJaMN6OCjmZkZ4vE4paWl1NfXY7fbCYVCBINBRkdHVdvV5/MxPj4ObGX4pfEoE2UaUWtIr3wYDAbGxsYIBAKUlpZSXl5OfX09JpMJv9/P+Pg4TqcTr9ergzOAbcOAdmsSxBgMBgoLCwFoaWnB4/EwPT3N3bt3yc/Pp7GxkUOHDumUNqmaSVNldXU1gAZTmVAJBIvRaFSVlfb2dj3nb926hdls5vDhw7S1tdHU1ITFYtEyv9PpxO/3699NV+7ZLQ4JND0ej66JlIRlcl9FRQUlJSUcPXqUqr8fiCTaugUFBeoY7NXRkTWRO02exdraGl1dXQwODmK32+no6KChoYGGhgZKSkoAVOEj/f3by8ASCfTlHaqtreXUqVPEYjGuXbvGz372M2ZnZzXg7ejooL29XYcS2e123ad7UdMQLKIyA1BWVsaZM2dIJpNcu3aN//gf/6MqT1mtVlpbWzl27JhSuaTCCmwbdJaJSTOpBEU+n48XX3wR2KJm/qt/9a+4desW8Xgcg8FAdXU1Tz/9NA0NDeTm5mIwGLY1mmeq7JGORdalubmZV199ldzcXO7cucNf/MVfKB1HmiuffPJJTp48SXFxMbdu3VIqhQwOybT6IqpKAG1tbZw+fRqz2UxfXx//9t/+W86dO6fJxdLSUh577DF+7/d+j4aGBoaHhzWAWV1dzRgH7NJBTn9Z19fXGRwc5M0339SmGNg6XG7fvo3ZbGZ4eJjZ2VkmJyfp7u6msLBQL/3Z2Vmd3iafW1tbq5OopMT1VXZvNLm4uMilS5eorq5W57K3t1elqKTbXCS5hGfk8XioqKjA5/NpIxKgygEi5bSTg0oI6aKGIFQPkRBzOBw6cEEiT8kYyyVbWlqqwzsAbcCRJpudPmgZehIIBLTTFNAI79FHH+Xzzz/n2rVrxONxnS64ublJcXExra2t1NTUEIlE9ICVMd0imbRTLDKpKhKJMD4+rhdAdnY2iUSChoYGenp66Ovr04lJwhvKycmhrq6OtrY2fD6fjh4+fPgwyWSSu3fvaklyJyaR/vr6On6/nxs3bgBoI1V+fj6Tk5PKawqHw1itVuWBezweDh8+zOnTp2loaADQzNzc3ByBQGDHWeTNzU11xsPhMH19fQA67dFkMunYbYD5+XncbjeRSITl5WVsNhszMzN861vf0ilhhYWFvP/++6ysrOz4cEgvVaZXPgYHB7UBJRQKMT09zdDQEL29vZSUlLC+vs7IyAjJZJK1tTW+973v8dRTTwFbz/yXv/yl8oJ3ekjJnxEHWdQaFhcX9VCORCKqoDEwMIDL5WJ5eZne3l7i8Thut5tXXnlFBwZNTU3pesgEyZ1iSR8VLZUKebc8Ho9+n8fjYWJigtnZWcLhMAMDAzri+PHHH+eb3/wmsFXym5+fx2q1ZsS7FUyCKy8vTx3D6elpWlpatMF1eHiYUCikzcvl5eU0NDRw4sQJAK5du6ZKNveq5/w2kyBGGlZhy1mXyorD4aCxsRGPx0Nubi53795lYWGB9fV17TGoqqrSQT2XL1/WSlKmvHXhKsKWMyhYksmkDplxuVwsLS2xuLiI3W7H4XDQ3NxMZWWlOocyFTJ96uBOTTjich+2tbVpAigYDOpZWlRURCqVYnR0lMLCQkwmEz6fj7KyMr2DJLGQSeOXPB+TybQteWWxWDQZIE5XcXExXq9X199qtaq6h+wzOTczCWAEj0yfBHjkkUe0ibWvr4+ZmRk2Njaor6/XYLu6ulp7IAANvveiGiRY8vLyNIF26NAhcnJyVOlkZGSERCJBVVUVVX8vT3r48GF9Z1dXV7/EV8/UsrOz8fl8epfU1tbidrtJJBLaQ5VMJvF6vRQVFfHkk0/S3t6uicZ0Sk66hGMmZjAYqK2t1UmqLS0tyiM+d+4cH374IclkksLCQqxWK8899xzt7e2kUikWFxe5c+eO+heRSCTjngKj0aiBJaB9FNFolDfffJOuri6t1hsMBs6cOUNNTQ2BQIChoSFu3rypQa4kNn8nDnK6bW5uYrfb2djY4MMPP9TNOzY2xsrKCp9++qnyjIeGhpSTLN3VRqORoqIiHnvsMS35GY1Gbt++rU7GTn9UKpVSVYqLFy8qnUAm+X3wwQc4HA7t0BcNzEQigcVi4erVq7hcLk6ePKnOgclkYmJiguXl5R1TG4S3m5ubS1dX1zbJE4PBwM9//nNWV1dZXFxkZWWFRCKh2bjJyUlu3LiBw+HgzJkzeigUFhayuLiI3+/f1ZoAyhsdHx9XKgF8UbobHx/X9ZDGEmk6Gh0dxW638+STT2qZ7/jx40QiEYLB4K6jMofDgc1mY3l5mUuXLik+afSSCzS9dAVbTWcLCwv09PTw2muvUVRUBGwFMDdv3txWmt2p2Ww2TCYT8XhcOVPhcBiz2cz8/DxTU1PMzc1tO5Cl6UEoIMePH9dArKSkhL6+Pl3H3WCRiV/Z2dlKU5qcnFTnS7RkpWHU7/djNBpZWloikUgQjUb53ve+p9UKp9NJX18f8Xh8V5lBkXVKby5dXl7WyU2hUEgb8paXl5XHPzk5STgcxul04na71VmqqqrC5XKpJrAocezkMhEs0gUNW/tBZPlE3WNubo5QKMTo6CjZ2dnKexsdHcXlcuk5IJUZaUKSz9uJSdOSy+XSvwuoEyr0C1F9GRsbY3NzU4OaQCCwTZbPaDSSlbWlgywNJDvFkp6FEwcsXWJN6BzSUDkzM0MgENB1Eb3m9JG9gl9+y06xSJYnJydHA14JsERSTi5Ss9nM5OSkap1XVFSwsrKCx+PZJv0kXGmpxO0Ui2T4hXIDqJMBX/A68/LyyMrK4saNGyoR2N7erkmVdOdPqlqyRjvBItUPh8OhgXx9fT3r6+tK5ZBmdaPRyPXr15XG9I1vfIPi4mIKCgr0HZJKnyg1ZGXtTkIsKysLl8tFS0sLsHV+R6NRpqenmZ2dxeFwUFFRgd1uZ2JiQhsEZT6A1WrV3y3PJV1RZ6eOofz5wsJCHnvsMQCeeuopYrEYd+/eZXx8nNzcXGpqapT6t76+zvDwMPn5+bqnha8ei8W2ZU53S1cyGAyUl5fz0ksvAVv0ung8zq1bt7h9+zZOp5PKykp8Ph/t7e2UlpaysrKC3+8nmUyytLSkWOR8y1Sm0Gw209rayh//8R8DUFlZqT0U169fx2QyUVpaqmvX2tpKKpViYmJC/Qe5n+VMyRSL1WpVqVxA1SnGxsa4evUq6+vrOrtBptDGYjGGhobIzs7elrmVYCoTx9ThcPDUU09pJl3ol1NTU4yMjLCxsYHdbsfn89HY2EhJSQlTU1N0dXXhcrno6elRHBLEZxo47EnFYnZ2Vh0tidxlxOjMzAyRSETLzpKhEJK/XA5Xr17VCPvw4cM0NTWpg7YbW1xcJBqNMjs7qw8lNzcXu92uWemFhQWWl5e3cd3EeY3H43R3d6vT43K5aG9v38Yj3omJQ50+jlI6lEVKTA5LWY9UKqVDFvLy8hgeHt4WPR09elQdud2YZD3TZ6S73W7d+CsrK0pVSC/nxeNxVlZWVOpGDlhpCvjss892jUWcR3n2si7CpV1bWyMajWrXa/pekQtqdnaWZ599VteluLg4oyhVnHuTybTN6fH5fKoCIRGryPekHzrinEnGyWazkZeXl1GkKp97r/5pQUGBOjTxeFwzn6LOIFmUlZUVYrGYZp2kATH9fduJpVKpL3FA/X4/jY2N5OTk4PP58Pv9bGxsaBUmEAhgsVi2ZQsEh9Fo1F6CTFUSpHELthpE6+vrKSsrw+PxMDc3RyKR0MzPwsKCOtTivEq2TpqdZE12k/ERqpIEKwCfffYZPp+Pw4cPayNnIBBQtZGpqSncbreK2YuMF7BNA363JfT0IQsSTH3wwQf4fD7Onj1LY2OjDpNxuVzYbDZmZ2fJy8ujpqaG6upqdbTuxQK74yFL8CVBG8DFixdpbW3l0UcfpaGhQaWxRAM1Fotpo6cojUgmTqQ4M9kr6c6jOC5y/3g8HmprawkGg4TDYZaWlhgaGiKRSNDU1MTx48d1PK3cORKMyvmzW3pQMpnUfSvN1/F4XPnQq6urrK2t0dvbS0FBgTZ/GY1GHQ4ka5Ie/O+2cV3UOWTf1NbW4vV6VXVFBjNJH4pUDRsbGwmFQqqXD1t89Xu1nXdjUoFJL5s7HA4NmkST2mQysbCwQG1tLdXV1TidTsbGxrhy5Yom0mTfyufuFocEd0KpaWlpwWAwMDg4qIPE6urqyMvL08qqx+Nhc3OTmzdvcuHCBc2U3puc2e07JM2/oqbU3NzM5uamJthycnI4cuQIJSUlFBcXYzabsdvtGI1GPvnkE65evarv371n226xyMAW8T0KCwv1rAkGg1gsFurr6+no6KCiooJoNKrCAufPn6e3t1eTEpny9w0GA62trfzhH/6hNouLf3bp0iU9gysrKzl9+jTFxcWqzNXU1MTFixcZHh7+kvZ8prYnBzmRSGgmVMxqtbK4uKg8O0lx3+8gjkajjI+PK51gcnKSwsLCbTzEnZroL6dPHsrJySEQCLC6uordbr9vCUK+Y2Njg/n5eV3M5eVl7dzdjaWXXOSQFA1HObzvV86ULA5sHdDC5VlbW8NkMmW02QSL2WxWLD6fj2g0uo1AL58tay5YJKskuOTAzmTDSTlZqg6A6n7KISTrIE6JmEhsSbkftjLLS0tLu2pcvBeL0+nUvZufn69TtVwuFzMzM6RSKaWdyLpICVIcV8EsCgm7XRs5YM1msx72oqiRTCbxeDzK9SwoKGBlZUUdDovFolkx2Vty2djt9l1d8HKRpuPwer16SDocDgYGBnA6nVrykkje6/XS1NSkmVRA9YkdDoc2Ze10bWSPpWtNCzbYOriXlpYoKiqiuLiYiYkJksmk8gUPHTqk7zNs7TOXy8Xi4qKqJOzm+cgaCsVidXVVu6aLiooIhUKUlpbqtLGFhQWqqqpoa2ujsrKScDhMb28vgO4f2Ss7xXLv3pK9t7S0xNTUFOvr65SXlxMOhwmFQqoEYLFYlObh8/mIx+PqCErlIv393ykWuQDTs6vLy8uKxefz0dTUpEOR8vPzWV9fp7q6mo6ODu2BEE10yfLsRdLMbDZvyz6vrq7i8Xjwer3U1dUxPj5OOBymoKCA/Px85QBPTk5y+/ZtVWxIJBIaFMtdtBszm816nkkpXLjajY2Nul89Hg+PPPIIJ06cwOv1cv36dS5evKiOoODY7fNJ/7OiRADov7Ozs8nPz+f48ePKoy8qKuLo0aM0Njbicrm4dOnSNudLJtdlqkYgz0cwCGVwdXUVm83GiRMnWF9fx2azkZ+fr9NTs7Oz+eSTT+jp6dHKViqVyrhsnq6EIeeJUD3m5+dxOp08/fTTwBeqLOnT6d555x1GR0c1QykBUSYBg9Fo1L2Sng0X1RWXy6UT66QiI1SU7Oxs3njjDWZnZ9VX2AsWm81GcXExRqNxWxZ4ZWWFO3fukJuby4kTJzh06BA+nw+Xy8WvfvUrXC4X5eXlnD9/nqWlpW30wt3ulezsbDwej07cFRzSKH79+nXsdjutra2cPHmSyspKcnNzeeONN8jJycHlctHV1fWlxvC90E725CBLNCYagbCVdZIIXFL+6eLiYjIWNP0Frq+vZ2BgQKOz3ZjgSJ9IJo1PUhpwOp3a+JfuhEsJVcoHsBXJ9fT0aJf3Tk0ucpluBV9EUyKeLYNV0ktn4sjKOEdpXmlpadGM825NdCRlIIngkwEcLpeLZDKpskPpAxpsNpvK/Yg+b0tLC7dv39YO792YOAYi/C74RAXB4XDg8XhYWFhQ50gOQrfbTUdHBy0tLZSVlQFbB6xIte0WixxKOTk5Kt0lF1EqlVKlFVkLi8WivNOioiKOHDlCR0eHBnbhcJiZmZmMnHWhExgMBuVjyudKh67w4WGLky5SZjKmXLLXsOWkrK6ubnPsd4pDJi9Jg5EMbhFHXKo7ws9cX1+noaGB0tJSWltbtx304rBL09ZuDinJ6ofDYd0r6+vrzMzMaLOO1+tVeZ+KigpSqRTl5eVUV1dTW1tLLBbbNmQkGo2q9u5usEi2XMY3A9qgJ06yyKqJ9JN0mpeXl5OXl8fMzIxyqYPBoGbcd5vhl/JpupMvGVxR6PB6veTn5ysNSrKTbrebVCql068AzcKnVw92ikUCnvSBT1IGFVmyoqIiYrEYy8vLtLa20tzcTFNTEyaTicnJSX79619rhS4QCGhAt1v9VnHy07mhfr+f2dlZmpubcTgcbG5uqkSgqB1VVFSossT777+v6i3pCkK72StylkejUXUsZ2dnqaurU6dC1GCknyEnJ4eysjJmZ2c5f/48Fy9e3KZTLZaJsyHv8/T0NLBFOayqqqKurg6z2cz09DS5ubl4PB5txjabzfT09PCzn/2M7u7ubVriYrs944QatLGxoZUPCfDr6+s14DQYDBw5ckSnqAaDQW7cuMF7773H5OSkni2ZZmwFi/Dc03nEojEv+r15eXmUlpZqP8j09DQff/wxFy5cuK+E5m5xSAVTAijJvG5ubur54fV6KSgooLm5mby8PDY3N+nt7eXOnTtcvnyZ7u7uL2X2MzG582w227Zpw7CVXGhvb6empoaamhrt/fH7/fzqV79iamqKa9euMTk5qdXfveAoLCzEaDQSDAZV3UwGxTQ1NXHo0CGam5vp7OxU9kI8HicYDPLWW29tO9P2w/Y8KERKuuJciUZoMplUSTBxjoUnlkqleOyxxygrK+OFF17YxuX80Y9+xPz8fEZlNimHC2WjqqqKrKwsVldX8fv92+ZxiwpAPB7n+PHjVFZW8id/8ifbukl/+MMfaiZxpyaXqJTJYWs07ebmJnNzc6o9ajKZVIKnoKCAtbU1Tpw4QXNzM//sn/2zbQ7t559/vqumODH5DkCbI5555hkSiQSTk5OqHSvZQJfLpdluEbb//ve/r1hWV1cZGRnJSJNZVE8MBoOWk86ePUsikaC8vJzx8XH9jZubm/h8PrxeL8FgkLNnz1JbW7ttr4yOjm7jLO/GbDabZqSlnHT06FE2Nzeprq5mYGAAk8mko7fLysr0IHv88ccpKirixIkTmoEQbdNMxNAlmMvKylLKhozG9Xg8+P1+HA6HBjZyAUv3uTivkl358MMPiUaj2/ilO3lWIjCfXpJtamqioKCA0tJSIpEITU1NenkNDAzQ29tLU1MTp0+f1qZK4W13d3fjdDrVoU1XwPltJo0h6aNLhSpVUVGhlKnS0lIKCgq4ffs24XCYtrY2amtrNTMp2WwZc5xelt3p/hWu48bGhjoLFouFoaEhWlpayM3N1ffG5/PpudLU1ITNZmN6elpH+AJK8co0EyfPU/ZaKpXi5s2b3Lx5U7FYrVZKS0tVVsvn8xEMBhkeHuYXv/iFTpPbq7Sa/AZxKEOhEJ9++imdnZ2qHStTDm02m65hV1cXN27c4IMPPlDnLZ2ClYmJky+BiEh1NTU10dzcTFlZGSUlJZrRDgQCzM7O8sEHH+gwCNlrksnOlLu4ubmpv+vSpUuqU52Xl0draytms1m17xcXF5mYmOAnP/kJ586dY3FxUR3jTGkE8neEziY0iY8//hiHw4HP56OyspKKigo91ywWC93d3Vy8eJGPPvqIy5cvK+1lrybJq5ycHA2IhoeHqaurIycnh1OnTin1T/bj5cuXOXfuHBcvXlS+bSZUk3tNeht8Pp86ggsLC6qQdOjQISoqKsjLyyMYDGoT4blz5zh//jwrKyt7avpKN1HNqqio0Ge8traG0+kkNzdXqVHFxcWsrKwwPT3NzZs3+eyzz7h27VpGCZn7WXoSRBxU2AocLBaLatDX1NRgtVq5fPkyP/7xj7lw4YL2wWTakJduQjmR+1nuRqk8ezweTCYTubm5BINB/sf/+B/8+Mc/Vv68/Nn9tD1TLERTVho15DCUTtFvfOMbvPXWW4yNjWmDSTgcZm1tjZKSElUsALQJLdMSvmRuJQvs8/l0YprT6eR73/sev/zlL7lx44ZmeAOBABsbGxQXFxMIBNS5TiQSyp3eja2vr2sJvrKyEtjiy4gaRGFhIceOHeP8+fN89tln2O12Fc/PyspS/pc46slkkq6url1p/aZjkcBEnC+v16tyMVNTU/zBH/wBQ0NDXL16lezsbNbW1jRb1t7ers4zoFmOTJzS9DGcwseUbPqRI0cYHBxUmszMzAwGg4GlpSV9cR955BESiYSWqn/5y1/y61//OuN1EV5pepampqZGp11FIhHcbrfqYAuWsrIy6uvrCQaDOtXov//3/861a9dYXV3NiO4h/xYnamFhgcrKSh2AIZ3mIk0n3DSn06kDIq5duwbA//yf/1Nlz3aTFZSScjL5xTTJu3fvUlVVRWFhIdPT05SUlFBfX68R+/r6OpWVlbrnu7q6uHr1KgBvvPEGoVBo1w23gE7sMplM6rRcuXJF6SY5OTm0tbWpE2i32ykvL8disTA7O0soFOKDDz6gq6sLgKtXr+pEyt1e+LIuko2DLedrfHycRCLBjRs3OH36tFZZsrOzdXqeqNn89Kc/VY1doXlkkuUQxzqd1jAzM8Ps7Cx/9Vd/xbVr13j66aepra1lfX0ds9lMfn4+w8PDdHd3c/nyZX75y19uG0Qhzv9uLZ3vmH4+yCCBmzdv8tRTT+F2u7Up2Wq1MjMzw8DAAH19ffT29urz3W1G/V4s8lzlbOrv72d8fJz5+Xm++93v0tDQsE1ZKSsri6GhIbq7uxkcHGRubm7bWSLVq92Y/B2R7oQtp9Tv97O4uMiRI0f0zFtdXWVycpK7d+/y/vvvc/XqVSYnJ/fM9U1fk42NjW3Vx3feeQebzcbRo0cpKirSpkrpY/j5z3/Oe++9p8mkvUiGiUlQF41GmZub21ZZeuWVV3Q4SSqVUk76yMgI//k//2f6+/t1UMp+OGCCJRQKMTU1ta2Ef+bMGTweD6WlpWxubrKwsMDFixfp7u7m3XffVdnKvSpoiEnAvry8TCAQ0LvEarVy5MgRVWERB/3ixYu8++679PT0aJVwP9ZEsCQSCVWZGRkZAbbWpaamhiNHjuh9/Pbbb/PTn/6U9957j7W1NW0yzjTITresrCzW1tb0HpUMv9Annn76aaLRKHfu3OE//af/xIULFxgfH9820Ge/Msdi+zOs+8AO7MAO7MAO7MAO7MAO7P8T21MGWSIYGXQAWzzV+vp6TZN3dHTo0I+CggLKy8uJxWK0trZSVVVFLBbTUqhE/ZmYRHYSEcNWCUMiMZPJpNqLbrdbOYOJRILDhw/T0dFBIpHQ3/Hee+8xNDSUcZYHvshmRKNR6uvrqaioIJlMUl1dTXt7O4899hihUIhr165RV1fH8ePHOXToEMFgUMsc58+f5+bNmxmVumQgi8Vi2dbUc/jwYRobG3WM5vPPP6+ZnbfeeovW1laOHj2qdANZz1/84hf09vZmlHGKxWJKs5AsQiAQoKqqio6ODqr+fshEfn6+Zhs+/fRTLTU5HA5+/etfq4LGe++9x9zcXEZYhIKQTCa1KzYQCFBRUYHL5eLIkSPK55Smp+npaW0WmJ2d5Sc/+QmXL18GtugEUnrbrUUiERWen52dBeDmzZtEo1HVR83Pz1dqifC0QqEQXV1dWCwW3njjDeWVTkxMZKT9GIlElIcsGaebN29iMpmYm5tjbW2N2tpaFhYWiEQiyoGemprSTP7777+v2cmlpSVtit3tOxSLxTAajcoVBFRjWjqnFxcXGRiTF7AAACAASURBVBkZwel0qnLF+fPn6e/vZ3FxkatXr+o+C4fDOx6wc68JfSxd7UTGRF+/fp2BgQFGRkaw2WzYbDbKyso4dOgQg4ODdHd3Mz09zZ07d/T9E0WSTDIdUm0TCoysFWyVrOfm5ujp6VEKV0VFBR0dHVy/fp25uTn8fr82+cAXg2EywSKfkS4lKFnT4eFh/uZv/oYLFy6wvLysJVKv18vw8DBGo1GpDull80wzc+kKM+m0j0gkwq9//WsGBgaora1VjeqNjQ0d3mI0GrXKkU4DymRN7qdII7KIw8PDlJaW6rh6g8HAzMwMsViM7u5uvUfTe3X2kg0TLOnPd2BggL/+67/mww8/pK6uThuyRD2jt7eXhYUFzW7eS3nJBI9k1UXFQj7j3XffZWJiQqcsplJb0mU9PT387//9v5mYmNAenXubFPeyLvF4XKeUyvnws5/9jGAwyKFDh8jLyyMajfJ3f/d3/O3f/q1KZu53ZjKV2lKucjgc+P1+peRIFbGyslK1zP/yL/+SixcvqohApjSkr7LNzU1VVpHeCtiqTr3wwguqqPTWW2/x13/910xPT+t0OqHyZCrpdi8O0f0fGxtTLePJyUmOHz+u043/63/9r3z00UeqTARs2yP7+ayydvNhWVlZX/rDwi+URruysjKOHj2K2+0mPz+f8fFxLZeWl5fzySef6KS4xx57jEAgwE9+8hMAxsfHWV5e/tJhmUqlvrQj7odFGgKlwaqsrEy5zl6vl8nJSUpKSpTj87d/+7fY7XYKCws5efIkt27d4n/9r/8FbJVRpVninqaAbVjuh0Oaz0QL0+fz8fzzz9PR0UFRURHz8/PaEBCLxfjRj36E1+ulurqalpYW3nzzTf7mb/4GQPV17+1i3+maiCxMRUUFsKXf+sILL6iIv91up6mpCaPRyOLiIj/96U/xer14PB7cbjd/9Vd/xTvvvANsHfbp5YxMsEhTCKDUierqaqVatLS0YDKZiEQi2iQyNTVFVlYWP/zhD/n888+BL0TjM8EiHcTCHYWt0pbb7cblclFRUcGzzz5LU1OTNjBII9758+eZmZnZxp/8Kid9p1iEiy60GmkU2dzcpKamhieeeIKCggKi0ag2fl26dIkPP/yQYDDI2NiY7tWvcjJ+276VQ85isSi3Whpvo9EoHo+Hzs5ObaIqLi6muLiYjz76SGWzZETv33/ffXEA11Op1NHfhEXwyMAG+TxxDoVDKN9VXl5OXV0dFy5cYG5u7ktl7q+yne5b2S/pa5vehe5yuVRbXbiun3/+uTbz7IRzvFMsgDawignH02AwaDCclbU1slektO6VT9wvLOkd/oLFYrFoI5849RaLBYPBoBMyd1oezhSLcPBFEkuk16QpOx3LTh3inZz9gkOCGPmuvLw8DeZgy4GVBE0oFNpVcLDbfSvJFmmU9nq9WK1Wld7b2NhQ7vNuA6adnnGAJmvkfzscDoqLi/F4PAQCAUZHR5UK9fefvWMcu8Eiz0POORmKUlBQQEVFBaOjo1y5ciXjoHqnWORdEWcYvlDOsNvtbG5uMjw8zO3bt/fEe94JFpmg19LSor9ZEomJRIKhoSEWFhbw+/17bcT7je+Q2WzG6/XS2Nio+1Y06BcWFrh58yaxWIxwOLwnR/h+a3I/27ODfK/ZbDbcbjc5OTlkZ2cTi8XIy8vTWeLCn5SuUavVyttvvw1sXcRyEaYfXLs5JNNNBNtFm3l5eRm3260i9aFQSMcqe71e/H4/H374IfCFqkG6A3Y/LL8JhxwMOTk5NDY2KjdwcnKSgoIClpaWVJqpuroai8XCysoKPT09qnssDoLBYNCNmcmapMvb+Hw+CgoKFF9JSQnBYJDS0lKi0agOnfj88891gId8r3zWb1qTnWKRIQzpepDC32xsbNSmHhEIj0aj2zps07Gk4dkVFjmYRCFAFDTy8vJ0vHJTUxMGg0EbG0OhEKlU6ksO2L0Zjt1iSb/c5blnZ2dvU7UQ1Y35+flt0yZ364Dt5P1J3/vixMtBLQoo6U0rO4zed+Qg/yaT/SLfa7fbVd3hQTgav8lEtUawiPzfbrNOmWJJX3PJTMrZaTQaicfjmXBpM8KSnk2WjLu8m8JV3O3lulcs8v5IP4ZgymQCWibvUPr5kp+fr4G9YMgkO5npuZKORSbEpquYZOL4ZIpFpEuzsrJUXSYTRaJMsaQHdfL94jxLJXovtpvA4V4s93LQ90GlYkfOuvxbnoEoj9xz1+8rlvs56vJv2Y9yjqWfJfuN46ts3x1k+CKCvldOTX60yWTSS1+igbTvkB/wG3/MTi8PGQYhWVj5bHkppLFPhkP8NiWCTB0NyWSkyyKlUimNqM1mMw6Hg9XV1W2lg53i2A0Wk8mkmcD0l9RsNmvmxWQysba2tqOLZC+ORvpapI/1Fec0vVS4kyh6P5yedFzwhdJEemPVTi6T/cKSjild/m43h0Um+/Y3mcFg+FKlZ4e2Zwf5flgyaVjZj+dz7/rfG7B93Vh+F07PTrBkeqk9zFgyCezS98bXuSaZ7tMHgWW/yuL/v2HZL3uYsTwsOL7K9sRB/ipLH9aRvuGkPC/ZBZlalm77sTnTP0uidNh+KNyry7zXOea/DUe6jnE6DtE0TSQSOmhgv6VK7sWSHh2nP5/0gEaymPv5PL4Kj1j6707XehWMDxrLV+GS4Eoc0q/LJGt9b1Xj67AH9a5kYl8nlnvX/0G+u7/NHmYsX6c9LFi+zudxrz1MWB6W5wMPF5YD+/rtgTjI6Xbvhkv9PTl9v6RbdmP3HgriLGZaXtpPHJnwv/bD7vd8MswM7rt93U5guj2MWA7swP5fsYdpzz4sWB4WHAd2YAd2f9utg+wHMpOZuMd2kfWpfNBYduEM3g/LvuHYxYH5wNdkF3aA5f72sGP5OnDAw4PlYX8+cIDlYcfysOCAAywHWO5vDzuWhwXHfW1XHOQDO7ADO7ADO7ADO7ADO7D/3+1gUMiBHdiBHdiBHdiBHdiBHViaHTjIB3ZgB3ZgB3ZgB3ZgB3ZgaXbgIB/YgR3YgR3YgR3YgR3YgaXZgYN8YAd2YAd2YAd2YAd2YAeWZrtSsXiYRJ0fFiwPC44DLAdYdoPl68IB+FOpVOHDgOVhfj4HWB5+LA8LjgMsB1j+X8XysOD4Ktt3HeT0caNft5Zu+mS2r3OYQPoYx982Ie93gUVGat5vnOZ+TRLaiclAEpPJxPr6+pe+9+vAYrFYVBs73TKd1rYXLFarlVQqRSwW2/YuyTjSBz08RYbGWK1WzGYzkUhEpwkKvkQiwebm5m7er4wkfQSLxWIhJyeHSCSiUy8NBgM5OTnEYjE2Nja2TTx8ECZYzGYzLpeLeDyuY3KtVisul4tQKMT6+jrRaBR4cJq36aN7CwsLSSaTisXtdpOfn8/y8jKhUIiVlZUHvodl2mN+fj7JZJJ4PE5WVhY+n4+8vDzF4vf7H/ggIjnnrFYrm5ubOggpPz+f/Px8srKyiEQiTE1NPfA9I+cufHEv2u12bDYbdrudzc1N/H7/tsmlD+r8Sx92JJ8v01XNZjNGo5FYLPalMdi/q7NYpnSmj3FfX1/fhv935VvIuS97Cdh2N/wusaTvB9lP6d8tw71+1yb3VToWmaT8u7b0Udn7gWPfHGRxAo1Go26or8tBlgPAaDTq//+6No7gkIvjdzGd7jdhMZlMevDIREH48iCMB+mcChaz2YzJZMLpdBKNRolGo9vGKMvkuge5l9KxWK1WPB4PJpOJhYUFPZjFAbz3INjv9REsFosFh8NBeXk51dXV9PX1EY1GCYfDbGxssL6+/qXDej+xpK9JTk4OtbW1HD9+nK6uLmKxGMFgkFgsxsrKio5sl+f1oNbEZDJhs9koLy/nqaeeYmpqCrvdTigUYn5+nomJiW3njvzzIEzen4KCAh599FHMZjNVVVXEYjEmJibo6elRxzCRSDzQd15Gw8vaNDQ0cPToUex2O2NjY3z++ee6hyXAeVBnobwf2dnZGI1GysvLaW5upq2tDbvdzu3bt+nr68NkMhGJRHRy6IPCIv8AWK1WcnJyqKio4NSpU6yvrxMOh5mcnCQejxMMBolEIsD+J3bSJ4IajUZdn6qqKioqKigoKGBpaYnR0VHm5uYIhULAg58Qmb4+JpMJn89HQ0MDAPPz84yPjxMOh4Gtc+ZB4klfIwl4KyoqyMvLIxwOMzo6qgGxBOUP0tL3j9xRBQUFbG5usrCwoN8vE3AftKVPuDWZTOTk5GC1WolEInq2rK+v6x7+XVh2drY+K0mWiB8Yi8V0Hz9oS39OVqsVQO/HZDLJyspKxp+9Lw6yyWTCbrcDUFdXx9raGgsLCwDqiKVSKcLhMNFoVKOfBxFhGI1GbDYbAA0NDWxsbLC4uIjRaCQnJ0ednmAwSCgU2uZo7OclZjAYFEddXR1Go5HV1VUcDgc+n49EIoHf72d2dlbxyWS//b5MjUajbpyKigqcTiepVIr8/HwaGhpYXV1lbGyMu3fvMjs7qxlKyeo+qHUpLS2lsLAQh8NBUVER7e3trK6u0tfXx+DgIKOjo1gsFhKJhDrP+41F1qW4uJjq6mqKioqoqKigpaWFWCzG7du3uXr1Kl1dXZhMJjY2NlhbW9v3A1qcHIDy8nKOHTtGWVkZ+fn5vPLKKySTSebm5rhw4QKffvopBoOBRCJBOBze16ygZNFh6/k8++yzHD16FKPRyBNPPMHm5iaBQIDz58/z6aef6hTIUCi07++QZLQAioqKOH36NI8++igWi4UzZ84AEA6Hef/99/H7/VqheRATKcW5AXC5XNTV1XHo0CGKioo4fPgwubm5xONxzp07R09PDyaTCaPRSDQaVccd9ieQSc9mmc1mvbzdbjdPPfUUnZ2dmM1mgsEg4XCYZDKJzWbT93q/AzzBIhemBE01NTWcPXuWkydPMjY2xtjYmDroNpuNVCqld8B+OV+CJd2hSCaTWCwW6uvree2112hsbOT69et0dXURj8cpKSnBbDYzOzsLoBn4/cBxb2ZNKgwtLS28/PLL5ObmsrCwwKVLlygtLd2WBZRnt1dLr2CmnxVGoxGj0YjZbKatrY2nn34ap9PJ6uoqIyMjZGdnMzk5CcDy8vK+YLlf9hq+uBdMJhPV1dV0dHRw5MgRUqkUN27cYGNjg2AwCMDS0tK+vONf9U6m3wsOhwO73c7Jkyepr6+nv7+f8fFxddbn5uYeyJ2djvHe96uyspLOzk7i8bgm3QCuX7/O6OjoA6/KCBYJgtvb28nOzqa4uBiTyQTAp59+yvXr1x94MlBwlJSUUFJSgt1u34ZjYGCAK1euZIxjzw5ydnY2DoeDtrY2AP7Fv/gXBAIBrly5wvDwMG1tbRQWFrK0tEQoFOLy5cssLS0BEAwGt710+7HhrVYr7e3tAPybf/NvCAaD3Lp1i8HBQRoaGqioqCAWi7G8vMz777/PzMwMGxsbLC8vbzs89oJFSsGHDx8G4N/9u39HJBJhfHycsbExqqqqKC0tZWFhgbm5Oc6fP8/ExASxWAy/379vONKxHDt2DIA///M/J5VKaWmxtLSU3NxcJicnmZmZ4fLly4yOjhKJRFhcXNz352OxWDhy5AgA//yf/3NMJpMexG63G4vFQmlpKc3NzVy5coW7d+8SiUSIx+P7igW2LoimpiYA/sk/+Sd4vV4sFosGdw6Hg46ODrKysojH40xPT7O5ufmlC3Q/sBgMBmprawH4wQ9+QF1dHRaLBb/fz/z8PMvLy3g8HoqLi6mqqmJqampbBmG/HLDs7Gx8Ph8Azz//PE8//TTt7e0kk0kGBga4cOECVquVeDyOx+NhampqW6Vmvx3BvLw8AOrr6+no6ODEiROYTCZWVla4dOkSq6urzMzMYDab8fv9GpDL398vLIAmAcxmMzabjY6ODpqamnC73YyOjjI2Nsbg4CAbGxsEAgEt7T8IkwtAxsLn5+dz9uxZjh49itPpZHR0lL6+PoLBIHNzc9jt9geSARQnFNBzy2Qy0drayre+9S0NZIaGhggGg/j9fg1i0gOH/apY3UtjgK2Apra2ltdff50/+IM/IJVKMTg4qBn1UCikgUz6Z+z1DgC0eiABcHFxMadPn+bP/uzPaGtrY2Zmhu7ubnJzc5mfnyeRSGxLHN3rYO8HFtg6+5xOJz6fj9OnT/ODH/yA/Px8QqEQs7OzrK+vs7i4yMTEBPAF1WC/9lD62mZlZeF0OqmsrKSqqoqXX36ZJ598ktzcXAKBALD1PG/dugVANBolFouRSCT2Bcu9ZjAY1JdoaGjge9/7Hk8++SQAH330kb5bYuFwWB3mB2Gbm5tkZ2djNps5duwY/+gf/SMqKyuZn58H4M6dOwCsrq4yOzv7QLPI6c+tvLycP/3TP9WA3Gq16t2ZSCTo7+9/4BntVCqllbzGxkZqampwOBz4/X5g68y+deuWUt12a3tykCXb9Oijj6oD1tbWhtlspqKignA4zNTUFBaLhbKyMkpKSmhsbOTOnTvMzs7y2WefbXN85LDPFIvZbOb06dM8//zzAOool5eXc+LECebm5nA6neTl5ZGXl0dJSQnd3d0MDw9z7dq1fcEiJZBTp07xp3/6pwB0dnYCUFtby8LCAvPz8ySTSUpLS2loaMDr9XL9+nUGBwdZXV3dVgbd65oYjUaOHTvG66+/DsDp06fJzs7G7/dTXFzM4uIiCwsL5OXl4fP5KCoq4tKlS/T397OysqKX2V6xSCTc0NDAd77zHQBOnDiB3W4nEAiwsbHB3bt3CQaDFBUVUVtbi8Ph4NKlSwwPDxMMBrdxuPeKRXiRsleOHj2K1+slFAoxPDzM7du3WVxcpLm5GbvdTkdHB5ubmywtLSllZj+wCB63282pU6cAaGlpoaqqirW1NS5fvsy1a9cYGRmhpaUF2MrsBoNBpVrsF5asrCzsdrs66s3NzTQ1NeHxeOju7uajjz7irbfeoqioCIDc3NxtJa17cew14y+lRIDCwkKKi4vJyclhenqaqakp3njjDWDrwrRYLJjNZsxms2KRC1Scr71gEV6kfJ7ZbKa8vByDwUAymeTcuXMMDQ3ppWU0GpXOBOwrlnSnSegenZ2dNDc34/V66e7u5mc/+xl9fX3E43HN6kqVKj2DvFcs9/IijUYjlZWVfPvb3+aJJ57AZDLR09PDhQsXmJ+fx2Aw6NpsbGxoH4Q4YHt5j9L5h/KOu1wuOjs7efnll3nxxRfJycmht7eXgYEBFhYWWFtbY2NjQ6khsPXs9pKhTMchn2k2mykqKqKhoYHXXnuNI0eOkJWVxfLyMmNjY0xOTpJIJLYFmUajcc9OYHrGVvZNurP+ne98h9dff52ioiICgQBra2uaNLJYLNvWZD+w3JtBlsqMZEVffvllvvGNb5CbmwtsUT1ycnIoLi5mZGQEAJvNtu1zMsXyVf/darViMplobGzkX//rf01nZydutxu/309hYSEbGxvqCErVYb+w3K8PB7YqD8899xxnzpzh8OHD27i1UnmUs+ZBW1ZWFh6Ph5MnT3LixAkaGxtZW1vT/QxbdI/0frTdfPZu3juLxUJNTQ3PPPMMZ86cIZlMsrS0pLSXWCy2p3XZk4NcUFDAyZMnOX78OM888wwA09PTmEwm4vE44+PjrK2t4XA4cLlc6hg2NDRQUFBAT08Py8vL+8KjdLvdHD9+nLNnz/Lcc88BWxnqjY0NwuEwd+7cUc6bxWIhGAySSCSor6/HaDTS39//JWcwE8vLy6Ozs5NXX31V1yQcDmtEfv36dTY2NjCZTJSXl+ua1NfXs7Gxwe3bt0kmk/uyJk6nk8OHD/P666/zzW9+E9jaMNFolLt37/LJJ59okFNTU8P4+Djr6+uUlZURCoW4e/futqyDHGiZYLLZbDQ0NPAP/+E/1HURPtfg4CBvv/22HpaFhYWMjY2xsbFBQUEBwWCQqampfcNiNBopKiriT/7kTzh79iywdXnMzc0xODjIBx98oFniSCRCMBjEYDDg9XqJx+P6zPYDS3Z2Nna7nbNnz+q6OBwOddQvXbrE4uKiZtsSiQS5ubl4vV6Wl5dZXl7e5uRkikUCmIqKCg3ompubKSgoYH19nf7+fkZGRjTzBFvPNBqNsra2RiAQ2HOgcO+6WK1W3G43AB0dHRw9ehSPx8P8/Dy9vb1sbGxgt9uxWq16SUj2dj9pJ7I2QvcoLCzkmWeeoaOjg+zsbD7++GPlJebl5SnPFLbOoPQ12Y8qTHrWNjc3l/b2dp566ikaGxuZnp6mq6uL5eVlHA4HyWRSHVJ5RvttgsVms+F2uzl69KjSckZGRrh58yZzc3OEw2Hy8vLIysrSPf2gsJhMJsxmM6WlpTzzzDM888wz2Gw2lpaW6O/vZ3p6GqvVSmFhodKD0m0vDphkjAVHdnY2TqeTlpYWXnnlFTo6Okgmk4yPj/PZZ58xNTVFfn6+XubptL/9yCCLGQwGDWIKCws5fvw4L774Im63m3g8TiAQYGZmRves1WrF4XAAKDVyLxnk9HWRMyorKwuHw0FxcTFHjx6lra0Nm83G5uYmq6ur6iDn5+drNWlqamrPDnI6Fvn/cv+43W5qamr4p//0n3LixAlycnK0ylxcXEwsFlMHPhaL7QuW+31GVlYWNpsNp9PJSy+9xOuvv055eTlGo5Hp6Wk8Hg+BQEApcWtraxk5pff7XsGVbhaLBYPBgMfj4ezZs/zjf/yPKSsrIxwO4/P5WFhY0P0i9I/d2k7OJ0mAGAwGysrK+MEPfsA3v/lNrFarUt1qamqALb/Qbrcrl363dqCDfGAHdmAHdmAHdmAHdmAHlmYZZ5CNRiOPP/44zzzzjJakAC5cuMDa2hqpVIqhoSEWFhaIxWKaDTp8+DDV1dUaFQYCgW3E73RlhZ1adnY2jz76KC+88IJGdgCff/45i4uLzMzMcPv2bVZWVohEItjtdnJzczl+/DjFxcVUVFTgdrsJhUJ7wpKVlcWjjz7Kiy++iNfr1f9+48YNxsfH6e3t1ay64MjJyeHUqVO43W7t2o1EIl+KbjOJ3A8fPsy3v/1tvF6v/q7u7m5GRkY0c5FMJolGo9hsNqxWK4cPH9aOeJfLdd9SSSbNlRUVFfzRH/0RDQ0NGvH29fUxOjrK+++/z+TkJFarlWg0Sm9vLwaDgerqaoxGI6WlpYyOjt63USQTLE6nk+eff54nn3ySkpISXZeVlRXeffddpqensdvtRCIRLl++zMbGBoWFhRgMBnw+H3Nzc6yuru4LFqGdnDlzhvr6egAmJiZwOp188sknrK6u4na7sdlsBINBrchYrVa8Xq/+t3s565lgsdlsVFZW0tzcDGxlJ10uF7du3WJlZYWamhrsdjtms5nJyUk2NjY0y7S0tLSto3ovOCSTIxlA2MpmNzc3s7q6qt9bU1OD1WplcnKSWCyGzWbDZrOxsLCwDYtYpk3BQlEQasnx48f5wz/8Q4qLiwkGgywtLeF2u8nNzWV0dJR4PK6d77IuwlHcy7rAFzSG/Px8AMrKyvijP/ojTpw4QW5uLr29vQDk5+fr+y3ZQLfbTTgcZm1tDfiCM5xp6VyynXLm2u12HnnkEZ5//nlKS0uZnJykv7+fyclJ7ty5ow2uubm5FBQUKOVD1iOVSmWsCCANTJLBSqVSeDweTpw4wRNPPIHZbKavr48rV67wq1/9SjOUDoeDkpIS/H6/roOceZlUIdJVRWCLWiP7+Pd///d57LHHiEajdHd389Of/lRVWPLy8vB4PCSTSVZXVwEIhUJK+8u0OpXe6CoqA263mzNnzvAP/sE/oLi4mEgkQldXF319fVy9ehXYqmI5HA6t4ESj0T01wErlI51yJHSGpqYmTp8+TWtrK2azmYmJCVZXV7ly5Qqjo6Pk5+djt9spLCxUbGazOePmuHTeO3zBV5fM+qlTp/jWt77F8ePH2dzcZH5+np6eHj7++GNaWlrweDx6b7hcLiwWy5fe791guV8PieyhQ4cO8cd//Me89NJL5OXlEYvF6O/v5//8n//DqVOnqKur03UpLi7We2u/epjEjEYjra2ttLS08J3vfIeysjKsViu3b9/mjTfe4Nlnn6WqqkrPpZqaGgoKCrYpWexHJSQra0um0eFw8Pjjj3Po0CFKSkqYmZlhYGCARx99VKsAAK2trVRUVGjf227FITJ2kJPJJHfv3qWoqIgnn3xSN8i7777L+Pg4kUiE+fl5pTiIWa3WbSXgezdHJg90c3OT27dv89xzz/Hcc8/pgZCVlcXt27cZGxvTBRLSeG5uLjk5OVoOTS/9ZIollUrR3d3NkSNHePXVV5U/KYdPb28va2trGAwGvaQcDoeWrOXy2481ga3GmLGxMb773e9qeaqrq4tbt27R19fH6uoqeXl5ikXkxZLJ5LaScjqWTDf54uIik5OT/Nmf/Zm+RDdv3qSrq4uBgQGCwSClpaXbsIgGpsVi0X2zH+sSi8WYm5ujtraW8vJyAEZGRujq6qK3t5e5uTmqqqqIRCL6e6W8KHJR6eWsvZQdRf80Fovp5e7xeBgdHdWu5Lq6OlZXV7FarUoREqfH6XRuK/Pt5RAS+kj6O7K8vMy1a9d477338Hq9TExMYDKZWFpa0gNb9nAikVAnY6+H4cbGBtFoVLFUVFSQlZXFwsIC58+fZ2xsjImJCaxWK36/H4fDse2dSsey18YiUXSRz29vb8flchEOh1UN4fbt2wAEAgFMJhPRaFTLx+lSUEKVyZSSs7m5SSKR0PO2oaGBpqYm7HY7wWCQ69evc+3aNebm5lhYWFC9c5FjEkUYQHWBM8Ui6yrP2uv10tTURHt7OxaLhaGhIT799FN6enoYHx/Xjnuj0ailUHEG96r9m97wB6hk40svvUR9fT3T09Ncu3aNd999l/7+fmw2G8lkUvWjpXEbUMWcTLDcqxAivTHPPfccZ8+exeVyMTs7y0cffcTFIz9gpgAAIABJREFUixfV6RSaQSwW03NXzri9rsm9WrmNjY28/PLLNDQ0kJOTw/j4OL/4xS+4efMmoVCIsrIyCgoKsNlseocJlkwDB/n7smdk37ndbh5//HGefvppmpqaiMViylmfnZ1VqpXP51Ms8nmZSm7Kn01fF5EJq6io4Nlnn+XJJ5/EaDQyMzPDuXPnuHv3LisrK6ytrVFcXPwl3nC6XvJuzr77YYGt51T4f9n70tg4r+vsZ/Z9OCRn43C477tEkZJoybIkW7ZlJfISJ83qpGlTFEX7pyjQFGj7IwUKFAXaBEkQN0XcJGgbZ7Vjw5YXSdS+U6JEcd+XGQ45K2ffOPP9mJyjIS3bnCFl6/s+HsCwAIkzD+/73nvP8pznGAz40pe+hC9/+cssaXnhwgWMj49zM2cikWAe/3qpXSC/QPx+PGiVSoUvfelL+NznPge9Xg+Px4Pz589zcoL2crY2PQBuVBYIBHk3ymWbTCbDsWPH8Mwzz8BqtSIWi+HWrVtIp9Pw+Xyor6+HQqHg7yeah1qt5udEjZ8bsbwd5HQ6jYmJCfbWqTklHo8jGAwiEAiwjAyQWaiioiIWIV9ZWWEuSfYDydfpIT3LgoICPnR9Ph88Hg9CoRDkcjm/QEqlEnq9HkKhENFoFMFgkLli63/HXG15eRkul4svIwBYWVmB3+9HKpWCWq3mzUVRMWmUhsNhyOXyNQ0Rm3EEV1ZW4HK5IBaL2dFwOBz8gmg0Gs50KBQKGI1GiEQiRCIRJBIJKJVKSCSSLcFCGyidTnPAZLPZ4HQ6AWRe4GwsxcXFHA0DmUjd7XavccA220STSCT4XSG1iHQ6DZVKBbVazfxg4jZFo1GIxWLodDr4fD4+mHI9FLONuJKLi4tYWFgAkDnUxsfHEQqFIJPJmEMqFoshk8mg0+k46x8IBBAKhRgLrUuulyp9Nsm4AZlgcnBwEFeuXEEoFMLq6io3wRUUFKCgoIAb6eLxOP9HOGht8snCZf/OQCbjND4+zs1wIpEIGo0GQqEQarUaKpWKD3Kj0bgmM7pZLMT5zZZ5czqdGB0dxYULF+D3+9dwTpVKJav7kLND67IZzmL2+UQXAOnoEp6JiQksLS3xXpNKpWu0UwUCATvrdHnmy1lf33Sl1+tx5MgRGAwG+Hw+XL58GQMDA3A4HEilUhzw0h4SiURrtG03w59fj0WlUuHFF1/E3r17IRaLcePGDbz33nsYGxtjJ5TuH61Wi9LSUj5raOBMvtWPbMdNLpfj0KFD+NrXvobi4mLcvXsXvb29OHv2LDceS6VSRCIRiMVilJSUsG6r3+9n/fV8jNaEsJCE2p/92Z+hvb0doVAIDocDr7/+Os6fPw+XywW5XI6VlRXEYjGYzWZYrVYAmfuV1ITos/N5TmS0b48cOYJnn30W5eXlSCaTGBgYwLvvvouBgQH+NyUlJRzIAJm7QiaTsb73ZhVQqPpgtVrxxS9+Efv374dIJILNZsOpU6fw7rvvIhQKQaPRwOVyobS0lBVtSAaOhjltljOeHTh85StfwZEjRyAUCuF0OnHt2jW8+uqr8Pl87HNRJQbI3OdarRbBYBDxeHxL+MgAuEdm3759UCgUWFlZwfDwMN5++224XC5O6NDzAjKObGFhIVfQSHVnM6ZQKPD000/jr/7qr2A0GuFyuWCz2dDf389rcu3aNdTU1MBsNvPPmc1mLC4uss+Zi22qSS972ASl0qkskkgkIBKJUFZWhrq6OlRUVPBD9Xq9cLvdXCLN1jekxrpcLTubR5mAkydPcjOPTCZDeXk5WltbUVFRAZ1Ox40iTqeTIw9yDlwuV17arul0mpsMCMd7772HoaEhRCIRLrd1dXWhoqICJpMJbrcb6XRGA5myQZTxdjqdCAaDeU16oiyjUChkp/Tq1auw2WwssySXy7Fr1y6UlZVxJzNltHfs2AG1Ws0du06nE6FQKC8slK2irn8AmJqaQiwWY7kyoVCIvXv3oqysDBqNBn6/H2KxmP+vUqngcDgAgMvo9HvkioXKjbRh/H4/T0ajzGVLSwsaGhr40iDH2mg0orCwkDVCHQ4HBxW5YlldXUUikUBRURHKy8v588rKymCxWODz+bC8vIyKigpUVFSgoKCAS65SqZQHiUxPTwMA7HY7SyDlkjklBQGj0Yg9e/YAyJTvVSoVBgcHMTQ0hJGREW56sFgsXFrXaDQQi8UYHBxkySGbzcY62rlmcKlSoVaruWGwrKwMWq0WZrMZoVAIS0tLkMlkEAgEMBgMTH+g4GZoaIizujabjcux+WABwJ32QEZFhMp8Pp+Pf9dIJIKioiJUVlayIkhRURFmZmZYFoqmtuUjmZU90YvWvrS0FIWFhezs2Gw2TlBoNBpYLBYoFApotVp+n0gua2Zmhi/2XN/b7IwiBQFWqxVWq5WdF7/fz5QOjUYDvV7PZfvy8vI1dAoacpCPg5GdaaWf1ev16Ojo4P3i8Xhgt9u5eZGeTUlJCaqqqpBMJtlZJ4389RWrjWLJ1prWarV49NFHUVZWxlnAa9euYWJiAgA44C0uLmaZSQra6b3aTKY0uxlNqVRi9+7d2LNnD0wmE6anp3HmzBm89dZbrFhEmVStVouysjK+w9RqNdMhc12TbDxkMpkMjY2N+OY3v4nOzk4Eg0EMDg7if/7nfzA1NcXOOlV41Wo1O1lKpZKDm/WBUT4mFothNpvx93//9/jsZz8LIENz++///m/cvXuXz9ZUKsXJNjLCuJlKDLBWX7igoAD/8A//gK985SsQi8WYmZnBr371KwwODmJmZoZ9haWlJezYsWPNtM5sp3gr5AGVSiW+/e1v41vf+hZkMhkWFhZw5swZjI6OYnl5GbFYDDabDZOTk2hqauIgk5Sp6IzbjAIK0YSeeOIJ/Md//AcKCwsxOzuL3t5e9kdisRiGh4cBZCRBaQ85HA6EQiFEIhG+a3OxnBzk9ZI+KpUK0WgUi4uL7ORSGZpe4IqKCuzfvx96vR46nQ7vvPMOVldXIRQKWSy9srISQKbk/m//9m+Ym5vL6UUjzuLKygomJyfZoYtGo1y2EolEaGtrw+HDh1lV4+TJk8x7LS8vx/Hjx7nkfv36dbz88suYnp7eMBbaJB6Ph6MaION8WSwWjur27t2LJ554AiKRCCaTCRcvXmTOTE1NDZ5//nmOgC5evIif/vSnmJyczPlCXV1dxcLCAvr7+9fw62pqahCLxRCNRtHT04PHH38cyWQSRqMRV69eRWVlJWZnZ/nFJGznzp3DL37xC4yPj+eMhWTc+vr6mGIhlUrR0dGBiooKOJ1OVkNZXV1FQUEBLl26hKamJvh8Ph66QIfTyZMn8frrr2NycjIvB3lxcRE3btxgTebCwkL09PTAaDTi5s2baGxsxPHjxzl73Nvbi5aWFs5SZmez33rrLbzzzjt5YVldXWXeIf0sKbJIpVL86le/QkFBAY4dOwaFQgGr1Yrr16+jvr4eBQUFKCoqWjN96/e//z3Onj2LiYmJnLLsqVQKYrEYRqORdZDJkdi3bx+uXLmCQCCA7u5uiEQi7Nq1Cy6XCy0tLSguLkZRURFmZ2c5gHnttddYUzvXbD+VwkieEcg44SqVCpWVlVxhKS4uhlqtxv79+6FUKtHa2gqtVouioiJMTEzwxfb73/8eAwMDPG0vHyxFRUUsw2cwGNjBouoQDezo7u5Gc3Mz6urqoFAoYDAYMDU1xYf3iRMnMDo6CrvdnlcVhDrbSfKvrKwMKpUKsVgMU1NTcDqdXLKnKXbNzc1Qq9WoqKjA3Nwcn7fvv/8+ZmZmsLS0lPflTuouQIbuQVm+8fFxjI+PIxqNQiaToaSkBNXV1WhpaUFRURHq6uqwuLjI2a9oNMqBzGaycERT6ujoQENDA9LpNDuClHSgYVJVVVVobGxEc3MzFhcX+d1dXFzkiZX5VocoaGhqakJPTw9EIhE8Hg9++9vfYmJigquWMpkMBQUFaGhoQEtLCxwOB/8ONLQjHA5vukoFAJWVlfjCF77AI8lPnDiBN954g/eJWq1m3nZLSwvcbjfTikiejyxfLPQZZrMZ3/rWt9DW1ga5XI4rV67gl7/8JU6fPo1kMomCggLeT+3t7VhYWGBNZloPel/zpVBRckSn0+GP//iP8fTTT0On02FsbAyvvvoqfv7znyOVSsFkMkGpVKKjowMtLS2YmZnB+Pg4APB+o728GUlWIPP+Pv/88/j85z+PoqIizM/P49VXX8WPf/xjCIVC1NTUQCwWo6amBg0NDZiZmWH5u7GxMZYt3IxkImGhgUwvvfQSB1S/+c1v8PLLL0MkEqGhoYF527W1tZibm+N3qa+vDx6PB7FYLK8kFnAvaFAqlaiqqsLzzz8Pg8GAYDCI3t5efPe730U6nUZNTQ2i0SiUSiUqKiowOzsLm80GALh9+zbm5+d5XXJ9VzblINPUJq1Wy3qAxNGksqvD4cDQ0BA6OzsxNzcHm83GfBC73b6Gz9PR0YFHHnkELpfrvk02H4WlpaUFjz76KA+9ADKXm1gsRlVVFeRyOZaWlnD79m2Ul5djYGAAU1NTPOY4GAyy4wZkZKX27t2L5eVlBIPBDV0eAoEAVqsV+/btg06nYxzE6aXM6PLyMi5dugSlUol4PA6n0wmj0Yjl5WWW8SJra2vD7t27sbS0BL/fv+FLjCJRGvNKGQsgc2AWFxez9NOtW7cAZJzn+fl5BINBLC4uQiAQoL6+ng+StrY2jIyMwOFwYGVlJafAQS6Xc7nObrcDAHMSaVRlMBjE5OQkpFIpJiYmMDQ0BIFAAK/XC7VajdLSUr54WlpaMDExwc5hLlikUik3LtKlKJVK4fV6OZsbj8fh8XhgNBpht9sxMzMDrVaLZDLJery06VtaWngKYa5YJBIJ88NJ3Fyn0yEQCMDr9fI7QpJ3MpmMKyxETykoKOCLp7GxETMzM5yp3CgOmjQJgB0JyjjOzMww1UapVKK5uRltbW0YGxuDXq9HOBxGKBSC0Wjkw7WhoYEPqlyjdppktbq6uibwJrk/4gMLhULeH2KxGFarlTNh5eXla7AsLi7CbrdziXijRtSKVCrFPyuRSBCLxWC327nSZDAY0NPTg8997nMwmUxcApTL5SwlCWQusaWlJR4KkYtly7tRoyu9OyRf5na7oVKp0N3djS9/+cswm82oqamBx+PhJkZ6bycmJuByubC8vJyXo069G1RxoixpIBDAhQsXOMi2Wq145plnUFVVhV27diEYDDJFh7JfU1NT/N7lqz8vEolQXFwMIKPHT1WFc+fOYXh4GMFgEAqFAk1NTaiursaRI0dQWFiI4uJiFBQUMLVheno6byyU4adAYceOHaitrWU96P7+fng8HpaaLCkpwcGDB1mHXavVMg463zbjeJEsF5DR4+/u7oZKpcLs7CwuXLjACaDCwkLo9Xp0dnbiscceg16vh81m43UYGRkBsHldfno+3d3dOHbsGFMiL126hOvXryORSECj0aCwsBDt7e04evQoiouLMTs7yz4G9YNsFgvd9zt37sQ3v/lNFBcXIx6Po7+/H6dPn+b+CplMhqamJjz77LMc8M7OzgK4V43cDBaBIKPXDWSCzL/927+F0WhEMpnE3bt38dZbb3FTfzQaRWtrK1588UVYLBbW7AcyMm8kT7oZLLSfGxoa8K//+q8oLy9HKpXC2NgYfvOb38Dn80Eul8Nut6O2thbPP/88GhoaMDk5yZVqorZuBgv5QXv37sU//uM/or29HclkElNTU/jBD34Ah8PBwZ/FYsEzzzyDffv2YWZmhn0aqhrlUz0E8nCQiYxeUFDA3MlwOMz80cbGRkxOTqK+vh5jY2MIBALsTDmdTng8Hu4ejkaj7JQAmSaP48ePw+FwYHBwcM3ffRgeojRQ+l8mk/EDrqqqgsPhQHNzM9xuN2ZnZzE5OQmJRILJyUn+9zQZrKqqihfRaDTiqaeegs1mw8DAAF+8H4YByDhZAoEA09PTTOMAMmNyPR4PKv8w/IGaBs1mM+x2OxKJBG+41dVVVFdX82eazWY8/vjjWFxcRF9f333VE+5n5NROTExgcnKSsxKk1mEymbCysgKbzcb6heR8TE9PM6WBmqMAoKSkBI899hjm5+fR39+/ponto4wyQiMjIxgZGeEMlkwmg9vtRlFREQvUJxIJqFQqzM/Pw+FwsLpFSUkJX2S0Lrt372Z1kHg8vmEslFWamJjgiyyRSKwJ8oLBIObm5uB0OrnBcGlpCSqVCs3NzWhsbOQ1NZlMaG9vx8TEBHfrbzSgAsCOH5WnRCIRT1YsKipCKpViLUcqWV+7dg2pVAr19fV8AQOZ0jLtPRqJ/XFYqPJB+5Gc0qWlJczMzDDvrqioCD09PSgoKODPJPWP2tpaVFRUcACj0+lQUVGBiYmJNSobG1kTgUDAjXHklHo8HjidTszOzkKv10MgEODgwYOorq5mfdexsTEsLCygpqYGpaWla8bFmkwmqNVqbsDaKJbs5l1a40Qigbm5OYyPj7MKwr59+/DUU0/xpTs3N8fZ2qKiInZoJRIJd74TBSUXLOSwU1VHpVLB6XTizp07SCQSMJlM6OrqwrPPPov6+noIBAKesFVSUsITr8io2per0V2QrTRCtInh4WHYbDYYDAbU1NRwFrCwsBBCoRB+vx9arXYNFsrU51MuJ441BSNAxukRCoWYnp7G0NAQDAYDKisrodVq0d7ejtraWuh0OsRiMf5Z2s+bcS5oyiIpwfT09EAqlcLhcODixYvQaDQoLy9HOp1GVVUVampqWBGBlISy37N8s6P0vpL+PAA89thjTJU4efIknE4nc+Z1Oh1qa2tRXl7OTZSk/w7c42Xna/Ss6ex/4oknoNPpOBt48uRJuFwu/n0tFgtTMIkOSUYTEPOlM1Dmntb9ySefhMFgQCwWw+XLl/GjH/2IaaKxWAyFhYWoqamBQqFAQUEBN3gC92YcbLYHhSrGTz75JEpLS5FIJHD9+nV85zvfYWUcWkdKtNHkWfo7v9+/KSykHER34tGjR9k5vnr1Kr797W9jYmKC38tYLAaDwcCVTLqzNrsuYrF4TWB35MgR7N69G0KhEHfu3MFf/uVfYmRkhBsV6Z6kQWfEl9+SNcnlH2d3oIZCIVy4cAFCoRCPPPIIO8hisZh5kzMzM/B6vbDZbMx7I+5gUVERqqurkUqlMDQ0BCDDW5mbm4PJZEJ/f/9HHg7ZmyMWi2FychJvvfUWDv5hRCWZy+WC2+3G3bt3edDBmTNnsLq6imAwCKVSieLiYlRXVyMSiWBgYABAZggKqRncvn37Qxc4G0cikYDP58ONGzdgNBr5sqQJbD6fDwMDAxgcHOTPS6VSHKkWFhby8BAKDEpLSxGPx9HW1obbt29v+FCgyHZxcRE2m43L5kAm22Q0GjEwMIA7d+4wZ46aBSUSCV/8NLkMAGpra6FQKLB3716MjY1tuCuVflcSo6fMTiqVQjAYhEqlwsTEBIaHh1mGhdQJqNO8pKSEO4iBjIyMyWRCd3c3ZmdnmSv3cUbvFAm/E+ecnE+xWAyPx8PlolAoBIvFgvHxcQ5Orl27hs985jN8GZvNZrS3t2NmZgZ2u52baza6LoSF1lmv13OTK5DJDNy4cQMejwf19fUYGRnB2NgYPB4PTCYTvv71r/NY866uLsjlci6df1wlJhsH7QkKFEjazmw2M3fT5/PBbrejpqYGc3NzOHfuHGZnZ1FaWoo///M/58t4//79iMfjLPW4UUkm4k3S+5j9fFQqFRobG+H1elFaWgqz2YxEIsGjp0+cOIE7d+6gqakJ3/rWt/hd2bVrF48yJ6nAXLCQ85bdrFpYWIjOzk7Y7XZUVFSgra0NYrEYwWAQLpcL169fx9jYGA4fPozjx48zv7y2thZ37tzhgGejNItsLHSRARmnikqQ1dXVKCsrQ0dHB5RKJZaXlzm4m5mZwVNPPYXu7m7GotfrWYIzn0uE1oUcS61Wy02uRqMRUqkUVquVubekamS32/H444+jpqaGq0pSqRThcBhSqTQv5+d+WOLxOGKxGBQKBe9V2pfDw8NYWFjgappOp+MKCvGhaVpZLkFMOp1miT8gc4+Ew2E4nU64XC4olUrmn4tEItjtdshkMp6sqlKp+PtohPFmmq2oXwDInFOBQAA2mw2Dg4OIRCKsbkLrlUqleEInnYVAJojPt8GUgt6ioiKmBpWXl3MvwcWLF+F0OiEQCJiLrVKpUFRUxEFYKpXiJJLX690UFrFYjPLycvT09ADIcFYjkQi8Xi8uXrwIh8PBzZs6nQ4GgwEVFRXcHBgKhTijnj21LR8sEokETU1Na6aoknDA5cuX4XK5uAKr0WhQX1+P7u5umEwmHnxDvpXb7c65QpaNRS6Xo729nfs+6BnF43GcO3eOAyYKBLu6uvD000+jqqoKSqUSc3Nz6OvrAwDmJ+eLY8eOHTwJmaoqsVgM77zzDtxuNzcfCwQCNDQ0oKOjAwaDAQKBAGNjYx/A8Yk4yGTpdJqzOxMTE3x5AuBpPCQHRU4j/fLkFLndbjidTnR3dzMVwePxYGFhAW63ew0n8+MsmUxCLBbD5XLh7NmzjIUUJXp7ezniyZ48lk6nWd7H4XCgp6eHnQOv14uVlRWWdtkIllQqBZVKhVQqhZs3b/IhGQgE4Pf7ceXKFXi9Xp4lT44Ake49Hg8WFxdx8OBB5pRKJBJEo1GEw+Gcsl8AuPljYWGBHQ2fzweXy8VYqDxOWTtaE7/fD5fLhY6ODszMzADIZJ9pPGyul1hBQQGsVisCgQA/72g0img0itHRUbhcLs6O0otPqgirq6vwer1ryPdWq5V/Hsht8pVGo4HVauXPBe6pD9BENOJEAhkH1e/3w+l0IhaLwev14tFHH+XyY01NDasDkOrERt9dCtBSqRT/bhaLBaWlpZiZmYHJZOLubnJgnU4nJicnEQgEWE2DLtGSkhLMzs5idXUVSqWSuZQfZ1KpFEqlEul0mnmH1OQlkUg4eJqcnIRAkJFbm5+fR19fH19YMpmMu7sLCws500zBM0mUfZyJxWLI5XJ2JoBMltBsNkMikSAQCMDtdrOjPDc3h4WFBZw7dw5OpxNWqxUGg4GdSFJnoWbdja4JfS9lfSnwVqlUKCkpgVgsRkdHB1wuF9O0xsfHMT8/j3PnziEWi3HnN11cMpmMJehI0nGjlxplbXU63Rod1qKiIpSWlqK2tpYbeuniXF5exvj4ONRqNZ566ikolUp+BrSPyVkTi8U5XbDkRFC2lLL0NP2LKkzpdJonQi4tLcFsNuPAgQNcqQGwphy7flT4RiydTkOtVqOjowNAhu4hl8s5yxQMBqFWq6HT6Zgmlkql0NnZyZPRiG5F+xC4p2Kykewp3SkKhQI7d+4EkKliCgQCzM3NweFwwOl0ctZ+eXmZM2B6vR6RSASxWIwdQTqXCYdQKMw5i6vVatHV1QUg4/CEw2FcvXoVo6OjCAQCrBRDZx7t/WAwiKWlJW66DQQCa6opuU7VEwqFKC0txeHDhwEAFRUVcLvdePvtt3Hr1i0O1EjtihSWKOicn59nfitJpWbLFObiAEkkErS0tOD48eO8Lm63G++88w7TPIj2V1dXh7KyMhQVFUEgEMDn82F6epoVhyjIyFcRRqVS4dFHH8ULL7wAIHPmOp1OvP/++7h69SrzseVyObq7u7Fv3z5UV1cjmUzC4XDwyHTgnn53vlh0Oh2OHj2KI0eOALhXKTt79izOnj2LWCwGpVIJlUqFnp4ePPPMM2hra8Pq6irm5+dx8+ZNzvRTE3w+VQeTyYTnn38e+/btA5DJAk9NTeHq1avcSyAUCrla2tzcDIvFgsXFRQSDQVy7do3vdep3y7cSsymZN8pQqdVqvhirqqqgUCg4UxyJRD40e0ROI11kBw4cQENDA0sU5YKFBpI4HA7+PJPJBJ1Oxx2V98OS/TJdu3aNS3579+6FXq+Hy+Xa8OZLp9PweDwYHR2Fz+fjw81oNMJsNrODTsFFNg56gLFYDCMjI8zVqqmpYSWJXNfE7/djfHx8DWG/uLgYFRUVSCaTCAQCa7DQf2REF6GMk8Fg4MxuLg4pOV1TU1MQiUR8EVmtVpSVlXEjSnYn+XpnSigUwm63o6WlBUAmG7K6uoqRkZGcR1qGw2HMzs7y+wlkIveSkhLuSp6YmOAgJhqNsrpKOp3mJj/KhpBcHyko+Hy+DT+rWCwGh8PBGtRAJitYXV3N5XmiGlEQZbfb12RanU4nO6EikYh1IOVy+Yb3UiKRwMrKCubn53HlyhUAmerFnj17UFZWBr1ej9HRUUQiEe6093q9KCgo4AtLoVBwWSwQCDDmXIfurK6uIhwOY3FxERcuXACQoQI89dRTnLkdHBzkJly/38+ZfmoSpuZHIEN3mJqa2nAvQbal0xm5OMoK07o8+eSTUCgU2LFjB+7evQuxWMzC+CQZFQgEmPNLjgeNOc43u5JKpeD3+5l3ODk5yZSN1tZWDA4OQqPRsNZ6OByGTqdDYWEhTCYT5HI5YxkfH19DY8u1MZoSJXRB06UIZM4Kh8PBQY7D4UA0GuWgS6/Xcx8KAMzOziIYDPIzywdLPB7n0iplmPx+PwKBAFwuF1NdPB4PBAIBLBYLWltbUVhYiEAgwGtKd0muyhF0JpLjBoCl9YgitLy8DIvFApVKhWAwCKPRiNbWVuzatQsFBQW4ceMGD3vxeDxr7olcnMBshQc6G3Q6HeLxOJaXl2Gz2eByuWAwGJhqUl5ejq6uLjQ3NyMWi2FgYIDXJBgMrsmm54KFgszi4mK+12hojc1mw9zcHLxeL/R6PfeZNDc3Y8eOHSgtLYXT6cTFixe5GW19VSyXd0UoFEKr1aKzs5PvteLiYqysrGBsbIz3hNFoRFdXFzQaDfbu3YuWlham/vX29nLSaD1NKhcsIpEI1dXVOH78OFc40uk0XC4X+vv7MTg4CL8e2V0nAAAgAElEQVTfj/Lychw8eBBWqxU7duzgpMnw8DDOnTvHe4iSVoQhFywSiQSHDh3CV7/6Va58011z5coVjI+PIxgMwmKx4OjRo9i1axfq6+v5nRodHcWVK1e44pBPQxyQOee/+c1v4utf/zrT0qin5sKFC0zZ0+v1eP755znjTvSpy5cv49atW5xgpGpNvnScTcm8xeNx+Hw+zlgAYHJ5Non+fuAoKh8cHORLlaYOBYPBnMsnlNnL7pik7mq6jD5soeiAHR4e5rIslREoit9oNBaNRuF0OtdkYqxWKwQCAUsHfZguK0Xmi4uL7CxRlokOhVyiwnA4jIWFBVbxADLcL6FQCK/Xu4b/t166h+SbUqkUc5IKCgqYukGTkDZqkUgEdrsdyWSSudn19fWsSECXOpXA6POpdEocQVIZKSgo4MuQBiFsNFqNxWJwOp1rBrZ0dnaisLCQM+nEa6csFK0/qXpotVq+eNLpe3JX5EBu1AGiBrzl5WUu2+3duxdSqZS1JEdGRmA2m/nSl0qlkEqliMVi0Ol0PH2R1tnv93MHulQq5aDjo4z2bLajQBF5cXEx8+iJR7q0tIRYLMaXS1lZGaxWKwccgUAAQ0NDWFpaYv3ojXZWU3AUiUQwNTUFIOMILi4uQq/Xo7KyEoFAgHV1A4EAlEolDh06hEQiwZ3xdHHYbDZMT0/zFL5cStZ0fiWTSc4aUUMm0Rqi0SgPB6FMPNHOyNmgNbXb7fB6vXyx5rKHss9SckqXlpbg8/kglUpRV1fH793KygpkMhlzbrOnhd65cwfAvaYecpBzPXOJTkDPPB6P8/vf1tYGoVDItCrS+G1qamJJTZfLxfJ3JMGUnbDIBQeVZrN/jmTjWlpaUFhYiEQigWAwCJ1OB7PZjO7ubrS1tXEllKh+q6ureXfeA+Bpk/R7EGfWarVCoVAw3qqqKuzevRtdXV0oKyuDw+FAX18fO4KbxQFgzXANqsqlUimYzWZotVpuEibHp6WlBRqNBn19fbhy5Qo3DpOjka/uMGXW6ZyipleamErVIavVipqaGhw8eBCVlZWQSCS4cOECrl69ypl92o/5BDDUzEmVKAAsKRoKhdDQ0IDKykpoNBrU1dWhoaEBnZ2d3Aty6dIl7r+hz8zHActuFqcsOa3L/Pw83G432trakEwmUVlZiY6ODjQ2NvK/j8VieOONNzA6OrqmipoPFgoauru719xdbrcbw8PDcDgcaG1tRWVlJbq7uzmIWllZYR3+n/zkJ5ifn+efzW6k3KiJRCKUl5fj8OHDa7jVMzMz6Ovrw8LCAurr66HRaHD06FEcOHAAVVVVOHHiBDweD5LJJH7xi1/A6XSuoQNvZv9sykEmLhyl3YHMwU1UAGqYu58+LD2U4uJi1NbWAshwge7evYuhoaGcfympVMrkezoUKItFDphOp4Pb7V7z2eSAabVaqFQq5sTV19djaGiIS9sbfdAymYxHsFJD2crKCsvQqVQqGAwGLC8vc/qfoj4SQ5dIJGukk+bm5jAwMJAzl0apVHKpkpxSv9/PzRH0falUirMe2frIZWVlKC0t5bJlW1sb5ufnYbPZWFdwo0YXQyAQ4N+NnC/i9hoMBs7YEdeLSkx0UB08eBBAphl0ZGQEsViMhdE3ajTdx+PxcEaDysGk311ZWcnT2aiRwufzwWw2Y8+ePdizZw9zpCwWCw/KIe3XXN4XonpQxDwyMgK9Xs9Nic3NzaiurobL5eLqDInnt7W1sY41cG+aIx34G20EI2eTMqAAcOnSJRQVFaG7u5ubeCgDp9frOTuaSCTQ3NyM4uJiplP19fWht7cXfr9/TTZuI0bqJj6fj39uaGgItbW1XO6sra1lWhUFDiaTCel0mrMxRJE5f/48H5q5UoOoKTm7InTnzh1UVVWxHnZrayuAjLMqEolYbiidTsNgMCAQCHCp+s6dO2sGdeSa/QLA2S4gs84WiwU7duxgneFEIgG73c5/pvUQCoUYGRnBjRs3AGSCDtr3+ShqkMLM1atXGcuePXtgsVhQWFjIo9Dn5+dZI7mxsRHhcBherxdDQ0Po7+/ntaOhGLmWZYl+sLKygnPnzgEAjh07hqqqKrS1tUGr1cJms7EcqclkQnNzM0pLS7G8vIzr16/j3LlzXMLPpvflSiMgzXn6vZaXl1kiLBAIYGlpCR6PhweIdHZ2QqPRYGpqCm+++Sbef/99TjZRBYscn1yMKDPZPQU0jIRk0/x+P8sj7tq1C9XV1QAyEqevvPIKBgYG2BHMvgNzvZvJTwiHw6zQQXdyZ2cnQqEQgsEgKioqcOTIEZhMJh7K0d/fj+9973tr1HDyzdgSf18ikWB5eZmxmM1mFBcXY/fu3Swl19zcjM7OTuj1ekgkEthsNpw7dw4vv/wyO2PrPzsXI/8onU7DZrOtoaaVlpZi586d3AfU0tICvV4PpVLJco5vv/02XnvttQ807eeTKaW+AaISki+nVCphtVp5WufOnTvR2trK98PKygr6+/tx8uRJXL58ec05n0/2OJ3OjIcPhUKsbwxkKh+lpaWor6/H7t270draih07drD2fDAY5FHTNGUw34zxetuUgwyAx54S37apqQmlpaV8EFDjBU1QIgfyiSeeQH19PV588UXOZCaTSbz88suw2Wx5ef3UdUoNaUeOHIHH48HY2BjrFdJYRLlczpPD9u7di/Lycnzxi19kR1IsFuPll1/GwsJCXjq78XicM68vvPAC/H4/46BLIBqNQqfTcal/586dqK6uxle+8pU1WsGvvvoqBgYG8loTchzJEXzyyScRDodhNpvZwaSJgiaTiTPdpOf60ksvrcnwDw8P4+rVq3nJH8ViMQ4KgIwUE0XtY2NjaxwKs9mMSCSClZUV7N+/H21tbXjuuec46HC5XBgZGck5gCEs8Xicm02BDFcvEAiguroas7OzaG5uhlwuZ/oCSbgdPHgQNTU1eOSRR9ihHR0dxfDwMAYHB/OSESOtSLoYl5aW0NfXh6eeegorKysoKChAbW0tYrEYfD4fYrEY1Go12tvbWUGDDqS3334bd+7cgcvlysnRoJHEyWSS+VskBh8Oh2G325nrajKZ4HA4EA6HodVq1zjOlNk8deoU/H7/hpvz1mOhoJousampKfzsZz8DkJGIUigUKCkp4THBVK7W6/VwOp2w2WzsuFFGDsj9AiEeXTqd5nUZHByE3W5HLBbD4cOHudOeKBZSqRQqlQoSiQTz8/O4c+cOTpw4AeCeNF8+WThylOLxODs9ly5d4gxyQ0MDD3mg6YJ+v5/30sDAAN555x2cPHkSAFhdKJ8msGylEZKQfPPNNxGJRHikclVVFVKpFCoqKrgBljL7ly5dwunTp1mOiTjI+SpqUHMZZYHfe+891thvaGhgrVRS7BEIBHA6nXjnnXdw7tw5nkAIgN/ZXNeFnunq6irrXk9MTKCtrQ0GgwH79u3jKkoqlUJbWxtTzl5//XW8+eabsNvtnJGnikE+z4e402KxmN8Vj8cDg8EAg8GAAwcOQCaTcWma5Czv3LmDN954A5cuXeJBWcC9fZNPYxypaWRPl43H49BqtTCZTHj88cdRVFSEpqYmVoK6ePEiLl26hPPnz2N4eHiNStFmsJAMLZ3dQOa+ViqV7ITRBEF6D95//32cOHECly5dYo3szTpgVPFQKBSs3ERrRRn92tpa1NbWwmAwMFXo7NmzeP/993HmzBl4PJ4NN/l+HBaaJByPx9c09BsMBuj1erS2tqKpqQlarRazs7MYGBjgmQh2u31DzeAfZ5QspF4k8p+o4pOttJJIJPC///u/+O1vf4u7d+8yW2EzA0nuZ5tykKkpSaFQsGNJk4uIk/kXf/EX6O3txfnz5/nfrayswOPxoKKiYo2KxfT0NCYnJ/P6JWl8qEQiYZoEYaHSxN69e3H9+nWcOnWKy2ButxvRaBQVFRXsAAKZ8vLAwEDODk8sFuPpP+TM0UagBqpnn30WExMTOH/+PEdu1Dnb0NCASCTCa+J2u/Hmm2+uaRzJZU3IiA4gEAhQXl6ORx55BBqNBh0dHUilUtx8Rfq5IpGIHS9qqpuamsK///u/Y2ZmJmcHmQ64bL5wOByGyWRCfX09ywCR4x6JRDA5OcmVBuqsJe5Xb28vvve973EWLBcj54vGngNgTnF7ezsPjqmrq8P09DTsdjvkcjmi0SgsFgsaGhoQCoWYk/rzn/8cly5dYpm8fLBkNzTMz88znWV+fh5VVVWoqqpi6Zz6+nrO/peVlWFxcRFnz54FAPzgBz/AzMzMfbMcG8GRXZIi7hdVPR577DHWgvb5fDAajSyRKJPJcO7cObz99tsAMg4yNRDmenDSBZTtRC4uLmJpaQk/+9nPcPbsWXR1deGxxx6D0WhkucZIJMJyeb/+9a/R29sLAKx/nE/DCF1A2esyNzeH+fl5fP/738eVK1fQ2dnJlAKqBNjtdjidThbXp/28GZ1SqjRlZ1lv376N4eFhzM3N4cCBA5wZdbvd3Pk+NzeHwcFB9Pb24t133+UgJltFJV8sqVSKHbqTJ09iZGQEi4uLaG1t5XHx1I+STCbhdDpx69YtXLlyZQ1XMN/sJP0sVQeogvHLX/4Sfr8fL7zwAiwWC2cOk8kky1tevXoV165dw/j4OGw2G58F+WIhHKFQiIOyX/ziF0gmk6ipqUFxcTFWV1dhMpk4EJifn8eJEydw9uxZLCwsMA0o2/LJxlHT3fLyMi5fvgwgU6F94oknYDabUVZWxs4Q8dpPnTqFX//615iamuLzY/0a5BvU+Xw+zM7O4vz58wAy9Mfdu3ejubmZaTpKpRLhcBjz8/P47ne/izt37nB18H6OYD5YKBGRTe8hzvPu3btZmzsUCnHS48c//jFmZ2cRiUS2xCElLLFYjPu4aB8QlfDQoUMwGo2Ix+OYnZ3F5cuXcfPmTZw+fZpnFWwlFlJ8yfa9iNJ4/Phx1NbWIh6Po6+vDydPnsSrr76Kubm5NQ37m8VCzjE139MeoR4YlUqFuro6+Hw+vPzyy3jzzTcxPj7Oya6twLDetmZY97Zt27Zt27Zt27Zt27Zt2/8jtqkMcjKZhEQi4a5zIJOp7Ojo4AavnTt3MveopqYGQIZ7Wl5eDovFgvn5eZw5cwYAuKknnyiAsNCUKyDDJaurq0NJSQl8Ph9KS0thMBhgNpt5ulwkEkF1dTU6OjqwsrKCmzdvAsjwsBYXF3POIlAGOVtMfHl5GW1tbWhubuZsyo4dO7B37174/X6cPXt2TUMANWsAmSlQMzMzeWURSDpHoVDwmrhcLpSXl6O2tpY5wdTFbLPZ8N577/H41YaGBkxNTTHf8bXXXsPIyEheWovUyCSXyzlDQhH8zp070d3dDYlEAr1eD6vVCqfTCZVKBa1Wyxyx8+fPc9n8jTfewPDwcF7ZL2oak8lkXL7s6+tj6glJyNCIYYFAgNLSUmi1WkQiEUQiEfzud7/Du+++CwC4du0a6+vmaqQ5KpPJuOzncrkwOjqKN998E/F4HCqVCnfv3mUaRGNjIxKJBCYnJ7G0tIS3336bM8iTk5MbHuCSbRSFZ5ceI5EIhEIhBgYGIJFI4Pf7cfXqVS6F7tixg0edrq6u4vTp0/yuUAd+vlSp7MEchA/IVDHm5uYwMzOD06dPo6WlBTKZDC0tLbhy5Qo3rdEzoTXOtyxKHN3sygdlWWi09vXr1yEUClmtZufOnbh69SrsdjsCgQCmpqZ4/220UfF+Ru9Xdsk9HA4jHA7j8uXLuH37NiwWC0KhEORyOWpra7Fjxw5cunQJ8/PzrMWbvQ6bxZKd5achUK+88grUajVMJhPcbjdkMhn0ej3kcjn6+/u5kXS9wkq+2Z/sfUd/npmZwS9/+UuMj4+jtLQU5eXl8Hq9cLvdCIfDcLlcPFyFuPqbNfpuyt4CYOnB/fv3Q6fTwWQyMff32rVruHDhAk6ePMlym5sZxpFt9N5SQzKQGbkeDodZMQMAq3+8/vrr+PWvf82T9TbbHJht8XgcYrGY9dCBe4NDqqurUVRUxEpB/f39+MlPfoKbN2+uyehvVWYwGo3ympDP4vV6odVqUVJSAqFQiFAohFOnTuFnP/sZbt26hXA4zPz4rcJCjfehUAjLy8vcOKtUKrFz507u75iensZ//ud/4uTJk7DZbEwn3MpMKUnvulwuzM7O8lkXiURgNpt5WuqpU6fwyiuvYHR0FE6nc8uztel0Gm63GzMzMyxtB4BlGA0GAxYWFvDTn/4Ub7zxBtMN6WcfhAly5G5+4B9TYwI1XtE4UZqlPjc3x5u1srISZ86c4ZLy0aNH4XQ68aMf/QhApsHpQ4j4HyAb3Q8LdadSo11ZWRmeeOIJWCwWpNNpHhYgl8uh1Wrx7rvv8kY9ePAg+vv78cMf/hAA1kzO+ygs98NBXDvCUVJSgr1793IDnkqlQmlpKeuanjlzhqcZtbe343e/+x1eeeUVXpPszZnPmiiVSuYVlZaWrhGk3717NxoaGljt4PLlyzCZTNDr9TAajfj+97/PZfOVlZVNYREKhVAqlcxplsvlrMhgMplw5MgR1NTUIJ1Ow2KxwGazsfakRCLBD3/4Qw5gPkwTeqNYyBkkbVvSqo3H4zCbzThy5AiKi4uRSCSwa9cunuZ069Yt+Hw+vPvuu0z3+LBLLRcs1AgIgBUqiKd36NAhiMViJJNJtLe3Y9++fbh+/TrOnj3LB0p2t/lGsNwPB3BPNeUPPwPgnkwTjecuKipCQ0MDdu3ahbfeegsTExNIJpPw+/186XzEudKXTqe78sFCjWESiYS7yjUaDSorK1FWVobe3l643W7mxn4cVWujzwfAGm4sYaEhBjRkQSKRcBPhtWvXuFmTuv8fBBbqzM+eBkffazQaodFoMDw8zA2+G3F6csFC5z/hIs1owkgqQKTJTc2SG73kc10XwkI88PLycqZHZUuV0fCOXPoXctlD2YNcdDodWltbua9Eo9EgHo/j0qVLWFpagtPpzMkZzfWMI3odTRvbs2cPpFIpPB4PhEIhPB4PTp8+nVfPwEaw0L7VarV83lZWVqKurg7Nzc2sZjU2NobJyUm43e68nMCNYpFIJLBYLGuwNDU1oaKiAgDw/vvvc9CSr37uRrAIhUKo1WrU1dUxB9loNLLaicfjQV9fH27fvr0p3vNGsNCaNDc3M12WxBc8Hg9rhy8uLua9JvfDsh4HTVtsbGzkxnPiRg8MDGBsbAyxWAx+v39TTvH91uR+tmkHeb3R5B6dTgefz8eizqRMkP6DWoNAIEBZWRmUSiUuXboE4J6OX7aywx/+2/AhmW2kSkHqFdTwE4vF+BDX6XQQCoUoLCzkiWXA/TMk98PyUTioiYCyuNQ4Qc2BoVCIO3Ypeo1Go5ibm+NMXPaghI/CsVEslNmnhhjSI41EIiz0X1ZWBrVajeHhYR6LTd+bjSULT15YRCIRX1CkJEIORXV1NQoKCriRbmZmhrNl2bZVWNbL76nVatbSLS0thU6ng8fjWaNSsd4Byzdw+DgjLMlkkgM80tPOzlp9lOXy3n6Y0f5N/6HrGbjX8b+eM/wRtmEH+cOMGlzoe6nRJddBOlvxfCgApYybRCLJa5BOvliy15zGHJNcGp27uV5o+WIRiUT8ftB5l61DmueEvLywZGf8dTodfzft6VzGfH8Ylo2cK4RDKBSipKSEnwfp0N9P4SlXHLlgoWoITVEkXi39P1fLBQs5ygC4OkT66bQem8mO5oolO5iipB1JjG5EGnOzWGgtsitCVJGnvyOFqQeNhTBkJyXWT5JM59k78VFY1uOgwJqGUxG2zWg8bwTHh9mWO8gAWObsfg4E/T0JyBM5/KNsMxcZHQrrX7LsLl+lUnlfkvpGsGwUB72A1AhFRlkPyjrTMJOPu9S2yvmiC5bWgv5PE/w2klHYKizZmOgAJWwbFfzeaizAvUsu+3DY6kzcRo0OkByd0i1xkNfjyPPA3LSDvN7WB0kbta14PuvX/9PEsv67N/pu/P+CZd3nbhpLPsHU+nfj01gTcg4fhMOTKxYg/z3zILDk+54+CCxbZQ8zlocFx4fZpmXe7mfZU6zWZ2CBe/wjj8ez5bIc6y3bMc7Gko2PpuxtpnTwcbZee3k9PlqzfLr+N2PZz4aeBcnlbVWXbD6YsnnOFFB8GliAD75Dn6atf0c/rTV5kHslV9sqrmQ+tn79P00sm1Uc2Ep7mLF8Wnt4/Z75tHBQJv1hsU9zz6y3T/M93baHzx6Ig5xt93vhaHrTJ70x7oeFSl6f9iYlDA/DBn3YDtCHYU3IHiYs27Zt25a7PSx7+GHBsW3btm33t1wdZBeA2a344hwcsIoHjSUH5/h+WLYMRw4H5gNfkxxsG8v97WHH8mngAB4eLA/78wG2sTzsWB4WHMA2lm0s97eHHcvDguO+lhMHedu2bdu2bdu2bdu2bdu27f912x4Usm3btm3btm3btm3btm3blmXbDvK2bdu2bdu2bdu2bdu2bVuWbTvI27Zt27Zt27Zt27Zt27ZtWbbtIG/btm3btm3btm3btm3btmVZTioWD5Oo88OC5WHBsY1lG0suWD4tHABc6XTa8DBgeZifzzaWhx/Lw4JjG8s2lv9bsTwsOD7MtlwHmSbUiUSiNcMePg0TCoU8pW6zoyO3AodUKv3AqORP2ujZyGQyhEKh+/79J6VsQhOdFAoFQqHQB77308ISjUY/MHlRJBKxHOCDxpSNJZ1OIxqNrpFFlEqlPFXwQep302hYuVwOuVyOUCjEUy8FAgEUCgVSqRRPxNyg5SXpQ1ikUik0Gs2aseNCoRAajQZCoRCrq6vw+/2fyDOSSCQoKChAMpnk8eMymQxarRaxWAzxePy+7/WDwELTScViMcLhMNLpNJRKJdRqNRKJBBKJBLxe7yei905nrlgsRjwe59HtNDI9kUjA4/F8Irrv9N5knyUymQxyuZzH6vp8vg1N6dwqPGQSiYTfabFYjFAolNc47q0wmtApEokglUo/MC79kzyLabIe7TEaYvVpYMmeNEu+Tfa78mlgoT/ThFkyGu3+adj67/60sKx/Hpt9PlvmINMoZdr0QqHwU3OQ6RCSSqXsmMZisU/84MnGIZFIeKT1h01De5CbjbDI5XLIZDJoNBqk02nEYrE1G43+/0lhUSqVKCwshN/vRzAYBJCZXEejpR/0FD36fIVCAbVaDYvFAgBYWlrC6uoqIpEIkskkX/SfBBa5XA61Wo3q6mo0NzdjaGgIwWAQbrcbiUQCgUCA99tWjGj9MBwymQwqlQpVVVU4fPgwhoeH4fF4sLS0hGQyCZfLxXudntmDMolEAplMBpPJhKNHjyIcDsPv98NmsyEajcJms/HlJRKJHqjDIxKJIBKJoNVqsXv3btTW1kKtVmNpaQkOhwNjY2MQi8XsaDzItaGLUiQSobCwEM3NzTCZTFAoFAgGg5icnITH40E4HEYoFEIymfxA8Pcg8EgkEuj1emg0GlitVhgMBrhcLqysrMDj8fAYe7ojHuTZLBQKoVKpIJfLIZFIYDab+e+CwSAEAgFCoRAnUR7ks5JIJBCLxRw00LlDQZbH4+Eg9EEHEHSGAJl3uqCgACaTCUKhEMFgEEtLS58YFmDtu6xQKKDX66FUKpFIJGC32/ldSSaTn8ggKzrbCE9BQQGEQiG8Xu+aqbMPehpwtolEIojFYmi1WkgkEoRCIV6LZDL5iSYC6XkpFArIZDLE4/E1SaRIJPKJYQEyayORSPj7CeNm1mRLHGTKdgFAR0cHwuEwXC4XdDoddDodP0i32w2fz8fR6oM4qIVCIeRyOQCgq6sLyWQSHo8H5eXlqKmpAQDYbDbMzc1heXmZsWz1S74eB2VsOzs70dnZiVgshrt372JoaAg2m42zGQ8iqMh+Pjt37oRGo8Hq6iqKi4uxZ88eRKNR9PX1oa+vD3Nzc2uwbPWhuP5dMZlMAACj0Yi9e/ciFovhxo0buHDhAqampvj5RKPRB+IIEpYdO3agtrYWcrkcCoUCHR0dkEgkmJ6exjvvvIObN2/yhUJYthIPZWoBoKWlBR0dHSgvL0c6ncahQ4cglUpht9tx4sQJXL58mQ+nUCi0pZeXQCCATCYDADQ0NODw4cPYuXMngsEg2trakEwm4fP5cObMGVy8eJEPRHpXtnpN6MCzWCzo6elBT08P1Go1ysrK+Jzp7e2Fy+VCKpWCWCzmbP9Wvy9icea4VKvVMJlMqKqqQk1NDT772c9Cp9NhZWUFJ0+ehN1uB5AJjCmznD3SfSssO+MnFouhUqmg0+nwyCOPoL29HTqdDnfv3kU0GkUwGEQkEoFCocDq6ipn3rfq/M12tOiZKRQK1NXV8TNLp9O4cOECbt26hZWVFRQXFyMSicDr9QLAlmVO149vFolEkMvlqKioQENDA5qamlBbW4vbt29jYWEBs7OzEIvF8Hg88Hg8ALDmos/X1gew5PhpNBqUlJTAarViz549AAC/349bt27B5/MhmUzC7/cDAGKx2JY4gvcL7LOfk1QqRVtbGx599FEUFhZieHgY4+PjXAEBgFAotCV304clGcRiMZRKJeRyOaqrq9HW1oaamhrE43HMzs7i9u3bvC6Li4sIBAKbxvJhJhQKIZPJIBQKoVarUVhYiO7ublgsFrjdbjgcDl6XoaEhLC0tPTAs9N4AmTVSKBRoaWlBa2srYrHYmurd9evXMTk5+UADGXp+dO5YLBZ0dXXxPUrrcvfuXYyMjDwwHGRUnddoNCguLoZWq4VSqeSzzev1YnR0NO/P37SDLBAIIBaLUVdXBwD4u7/7OywsLODatWs4f/48ysvLsXPnTgiFQng8HvT29mJpaQmpVOqBlEKFQiFqa2sBAP/0T/+EpaUlDAwM4PTp0yguLkZHRwcCgQCWlpbQ29sLu92OZDKJlZWVLcUiFApRX18PAPiXf/kX+P1+TE1N4b333kM8Hkd1daBUAfYAACAASURBVDVUKhVKSkpw8+ZN2O12JBIJJJPJLXc0hEIhGhsbAQD//M//jHA4jIWFBZw5cwZ2ux1WqxXNzc1IpVKQSqVwOp1IpVIcNGy100OByne+8x0kEgnMzc3h8uXLuH37NoqLi2EwGFBRUYFEIgG32w2BQMCZjK1el7KyMgDA3/zN30AikcDtduPixYs4f/48CgoKUFhYCI1GA6PRCK/XC5FI9ECidIFAgJKSEgDA17/+dc4CXrx4EadOnUIoFIJer0cgEEBBQQG8Xi+kUukDwVFUVAQAOHDgANra2tDQ0AC73Y67d+/i6tWrUKlUmJ+fh0Qigc/nY8c+2znZquekVqsBAFarFdXV1Whvb4dWq4XD4cCZM2fg9XoxNDSERCIBn88HpVLJDslWZvypFE6fJxAIUFtbi0OHDqGgoAAzMzPo7+9Hf38/UqkUPB4PlEolgHu0s63EQg4YOXLFxcU4fvw4du3axdlsckSVSiWEQiEikcgah2srqkTZ65xKpTjQ6+npwZEjR7Br1y4YDAZEIhHU1dUhEolAKpViYmJiTYZpqypW67EIhUJUVlbiueeew65du9DQ0ACVSgWJRIKamhqMjo7i9u3baxyu9ZSMzVj2Z2i1Wuzfvx9dXV149NFH0djYCLvdjlgsBoPBgP7+fiSTSXYyRCLRA6NRicVimM1m1NXVobu7G3/0R38EnU4HgUCApqYmXLx4ESKRiJ0cqug9iMytQCCAVqtFeXk56uvr8eyzz2LXrl1QqVQIBAIYHh6G0WjE9evXAWQSFFTZexBGFSKFQoHGxka89NJLOHDgAEQiEWZnZzE7O4v+/n4AQCAQgNfrfaDV8lQqxYHe448/jq9+9aswmUxIJBKIRqOYnJwEAEQiEczPz/Nd+SAsO9CvrKzEs88+i87OTuj1eiQSCYyPjwPIrOH09PQDxUI4jEYjGhoaoNPp0NDQgIqKCthsNgDA8PAwpqen834+m3KQKbppa2vDCy+8AABobm5GZWUlXyahUAh+vx/V1dXo6upCVVUVbt26hfHxcdy+ffsDpdB8DyU6DGtra/Gnf/qnADKZuKqqKkilUni9XoRCIUxNTcFsNmPPnj0oKyvD1atXMTw8zJm47MMoHyx0uFqtVvzJn/wJ44hGo5BIJBgeHobL5YLL5YJer0drayuqq6tx6dIljI+PbxmObCxmsxlf/vKXGUsymYRcLseFCxcwPj6O0dFRWCwWWK1WWK1W3LhxAzabDYFAYM0BvZ7zlA+eoqIiHDt2DEAmQwlkMm1vvfUWRkZGkEgkUF1dDbVajd27d2NwcBArKysIBoNr1mUrsKjVavT09ADIOGBqtRoikQgTExNYXFxEJBJBU1MTYrEY6uvrMTExwRdYOp3my2IrsCiVSrS0tAAATCYT6urq4Pf7cfv2bYyOjsLtdrMDbTAYkEgkmG9K3FuyzWCRSqX8PUajEVVVVVAqlbh79y5OnTqFmzdvQqvVMuZwOAyZTIZIJIJUKsWX1mbXBMhc4pRBBjLOslwux9jYGEZGRvDaa68ByGQfaf9TCVsoFK4J8LYiI0hrTM5pTU0Nkskk3G43/uu//gszMzOIxWJQq9WQyWRQKpUIhUJM/cj+nM04X9lrSxSy/fv3Y9euXbBarejr68O5c+cQj8dhNBpRW1uLUCjEe4gura2gxmQHRYSlvb0d3/jGN9Dc3AylUonl5WU4HA6IRCJYLBbEYjG4XC4EAgHOjgkEgk2XzrMDEXoHzGYzvvCFL6CnpwcdHR2QyWTweDzM7y8qKoLJZILL5YLb7ebP2gwVJXtNqBqnUCiwf/9+PPLII3juuedQU1ODdDqNcDiMaDQKo9GIlpYWhMNhxiEQCHhf5WvZAQzxQkUiEQwGA9rb2/GFL3wBx44dQ2FhIQKBAFZXV6HT6dDU1IRgMIiVlRX+rPW9EPlgyf4zBZoymQyNjY3o6enBCy+8gNbWVq4ECYVClJaWIhgMcmXG4XDA6XRuykH+sGBeIBAwHWfPnj3467/+a1RXV8NoNCISifB+np+fB5A5k4hrvxn7sACanp9Go8Hzzz+Prq4u1NfXQ6lUwuPxoLCwEE6nE0Dm7CY6aT7fv9EzSSgUwmq14umnn8aTTz6JsrIyPoOJJimTyfLCkmtgqlKpcODAARw+fBjt7e18B1DQsLS0BIVC8ek4yEqlEnV1dTh27BieeeYZAIDdbofP54PL5YLP54NKpeINPjMzw9QLg8EAsVj8AWcwX5PL5aiqqsKXvvQlHD9+HADg8/ngdrsxMzODhYUFaLVaRCIRCIVCTE5OwuVyQSqVMrdoK3iLMpkMZrMZ3/jGNzhoCIfD8Hq9GBkZwdTUFHPPtFotlpaW4PP5mJKxlZkm4gF+7Wtfw+c//3kAwOrqKlZWVjAwMICpqSmoVCqoVCoYDAYsLy8jGAxCLBZDJpPxRbwV5WGxWAy1Wo3nnnuOnXWRSIRgMIjBwUHmkCoUCpjNZng8HiSTSWg0Gj4It6pUTWv95JNP4mtf+xoAcKPgyMgIPB4PX2parZYbjvR6PXPz1pfw8804UQWmo6MDL774IgCgtrYWQqEQo6OjXIJWKBQoLi7msijxx4lasBVYhEIhjEYjDh48CAA4fPgwqqqq4Ha7uXFRpVJBr9dDJpNBIpFwE43P5/tA5WMzWbhsHithOXbsGDQaDaanpzE7OwuZTAaFQsFOiFKp5Hdq/Xu72YwgPScAMJvN+NznPocnn3wSqVQKFy5c4EBBo9FApVJx5nt9dmkrsAD3nHQKJF966SXU1NRgYmICk5OTCAaDkMvliEajMBgM0Gg0nN2h76Ys62aNPkOpVMJiseDo0aPYsWMHhEIhlpaWMDIygpWVFUQiEahUKtTU1MBms62huKVSqQ8EerlaOp3mdaFn0NbWhq6uLtTV1UEsFmNxcRFOpxMejwcqlQrV1dWIx+NYXl7G8vIygAwvWSQSbcoBIxz0fhqNRjzyyCN46qmnUFlZiUgkAp/Ph9HRUYhEIhiNRuh0Oni9XiwsLAAA5ufnkUwmN0X/y14T2qsSiQQWiwWHDh3C4cOHoVKpEA6HmToQiURQVVUFr9eLmZkZABlHQywWbyojmI2FnHUqj7e0tOAzn/kMGv8Pe+8ZHOd1nY8/2N47sMACi96JRhLsYhGbJFLNlqvkpg+ZcfIhk8TjySTjST44M8nEkzbOyJNYtiPZUbMlqlGkKBaRYANIoheid2Cx2AUW2L6L3f1/WJ/DBUVJ2AUo8Zf/nhkNORSwOLjve+895znPeU5lJSQSCf/efr8fWVlZcDqdzB2nJtD1GO1D+jzaExKJBPn5+di5cye++93vora2lu9lt9sNk8mEYDCI3NxcAOC7cqOa7+9uxKO7+bnnnsPTTz+N7OxsSKVSTE1NfcIXhUIBhUKREv1kLecRcfitViueeeYZPPfcczCZTHC5XMjJyYHX60VVVRUA4NatW9BqtUn7shY/iMMvlUpRXV2N733ve6isrMTKygqys7MRCAS4Cjo5OYnMzMxViV4yltZBTlva0pa2tKUtbWlLW9oSLOU0jKgV3/72t1FWVga1Wg0AOH36NIaHh+FyuWC327mzsrW1FSKRCKWlpSyPRGTqu7OGZBFlgUCA+vp6fPOb30RxcTGjEs3NzWhvb0dfXx9mZ2dhs9kQCATQ3t6OWCzGGalGo2HJqrstGV8yMjJQWVmJb3zjG6ivr2eaSVdXF27duoXz589jfn6eZef6+vqwsrICrVaLYDAIjUYDmUwGv9+/7jUBwJne3r17oVQqAcRR/Fu3buHtt9/GwsICQqEQZmdnMTU1hUAgAKVSiUAgwOXsYDC4CklJLBcnYyqVCkePHsWTTz7JjXk2mw39/f344IMPEAgEoNVq4fF4cOvWLfh8PkbA1Gr1hvoiEolQV1eHZ599lnniExMTmJubQ1NTEzIyMmAymeD1ejE9PQ2v1wulUomVlRUYjUZMT09vmC8ZGRnIysrC008/jZ07dwKII1herxdXr16FSCRCQUEBfD4fJBIJ8xOlUin0ej3m5ubg9/tXoUxUrk7WKCPft28fgDhSqlQqce3aNXi9XpSVlcFgMEAikcBms0EsFkOn00GpVGJpaWmVEgC9v6micEKhECqVCjU1NQCAhx9+GOXl5RgfH8fKygp0Oh2qq6shk8m4fC+Xy6FQKBCJROByubjcR2hyqkgcle0yM+PyzU899RT+7M/+DHq9HjabDQsLC8jOzobFYsHMzAw3sFAzod1u5/1L512qJT9CzwihLisrw1/+5V9i165dEAgEaGlpgVwuh16vx/T0NJaXl7lsXlhYyD4Ad5rRUkVtiWJHXGu1Wo29e/fiyJEjyMrKwvDwMMbHx9HX14eJiQlWzjGZTCguLobX6+X32ePxIBKJ3PM+SMYXahYSCATIycnB0aNHUVtbC6FQiJGRETQ3N2NgYAAmkwnRaBQ6nQ7Z2dkoKSnhUnU0GmWVjWR9oZI4nf2RSAQGgwEPPfQQHn74YVgsFiwtLaG3txdXr17lpkmTyYS8vDxYrVYUFBQAAKslrLcSQ2hrJBKBRCJBXl4evv71r+PYsWPQaDRwu924ceMGZmZmMD4+DrlcjsbGRuTm5nK/SF9fHyN3QOoVvETuvEAggEajwcGDB/HII4/AarUiEolgZGQEXq8Xo6OjsNvtaGhoQFZWFp8FbW1tmJmZYarbetaGfKFnVlFRga985St49NFHUVxcjJWVFSwuLmJ0dBRXrlxBY2MjTCYTioqKAMT33+DgICOU6+0fou8lVZHDhw/ja1/7Gnbt2gW5XA6fz4fOzk6cOHECBw4cQE1NDfR6PYA4fbK1tRUOh4P92Mj+i71792L79u14/PHHodFoEA6HMTAwgHPnzuHQoUPIycnh956otrOzs/x7bQRTgHoKTCYTnnzySeTm5iISicDhcGB4eBiNjY2QSCT8e1dUVKC6uporIUByd1LKAXIkEsH8/DzMZjP279+/6gKYmpqCw+GAz+f7hC6nVCpFJBJZxS9c76aLRqOYnp6GUCjEwYMHuWkoEolgaGgIQ0NDHPzRpiLOYiQSYV1Mn8+3Ll9isRh32O7ZswdarRYAuFw+PDyMYDAInU63isdKFwf5Qd2p61kTIH7Aut1ubN++nUsOExMT6OnpwfDwMPx+P4RCIfsSDAa5vEXat3RAky+p+kMyadu3b+dAw+FwoL29nUuwYrGYS1X0ZyAQYEpEIkdxvYcQ0Rry8vIAxLnyN27cQE9PDxwOB/Lz8z/hC/1JagAb4QtZRUUFN5fOzc2hpaUF7e3tmJ6eRlFREQcQPp8P0WiU/5TL5avWZT2HUDQahV6v56TBYDBgcXERFy9exMWLF1FQUICZmRlIJBK4XC6oVCpeE6VSiXA4zIFfIj87lfWhhtFt27bx+ohEIthsNly+fBkulwszMzPcKKhSqeDxeJgGEgwGuQmMLsBUfaHzgi7Fo0ePIicnBy6XCzdv3kRvby/TF4jaQPJuWq0WgUCAS40bsS6xWAwajQYAcPjwYWzZsgUCgQDz8/Nob29HS0sLc+gpYATiz5OkxIA7coqpapbSpUeX4qZNm3D48GFWXxkYGMClS5fQ3t4Ol8vFikbEYczJyeFmGuK3rucZkYoJAOj1ejQ0NOD48ePIzs7G8PAwOjo6cPbsWdjtdmg0GqZglJWVwWq1YnR0FADgdDoRDAZTonwklseBeMk+MzMT3/rWt1BXV4dQKITR0VGcP38eN27cQCgUglqtxtatW2E0Glc1Dvf19XHgnyr9LzEwIY74I488gmeeeQa5ubl8N506dQq3b9+GUChEXV0dS3ASmKFQKDjYXg/1JHF9BAIBamtr8YMf/AA1NTUwmUxwOBxobW1FS0sLAzV5eXkoLCzkpFCv13OimEi/W48vBIo89thjOHz4MOrq6hCJRDA9PY1Lly7BZrNhcXERFosFer2e3zODwcAB5Hqa2u/+HplMhq1bt+Lb3/42Dh8+DLFYzCIHExMTzIdOjFkMBgPflZTcbUQjo1AoRE5ODn7wgx/gyJEjkMvlcDgcOHv2LMt+zs/Pc3wHADqdjuUVyZf1NuxRM+fXv/51ppsQqDU2Nga73Q6TyQSTycTvilar5WSDfj4BJ2uxdRF5bDYby2rQBeB2uxldk0gkzGWVyWTMXaSHqlKpsLS09AmOXio2Pz+PcDi86tKem5vjxVAqlZDL5eyLUqmEWq1GIBDghXe73asC01R8cblc3ARCaJrNZoPH42HZmEQ/RCIRtFotd3fr9fpVjRnr4Wj7fD6W1aNgYXZ2FgsLCxCJRFCr1at8EYvFUKvVzHM1GAyrdJvXK51FjRe0LtPT0xgeHkY0GoVSqWQkirruafCBQqGAwWBYFZSuhy8uEon4kKV3ZX5+Hn19fQiFQlAoFIy43+tPg8GwqklvPYcQ6bLq9XrewC6XC52dnQgEApDL5VzdoPVRqVS8PpmZmavQa9pLyQYaIpEIBoOBuZrkx+XLl9He3s7BLzXOJPollUphMplWIdf3qoKs1YRCIfNDi4uLAcTXeGxsDBcvXoTdbodEIuFDUKlUcoOKSCTiQIwurOXl5ZSfEQUVGo2GlWAyMzPhdrtx5coVtLS08DtEDVBk9F5brVZ+Lonasqn4QoEBBS4NDQ2Qy+UYGxtDZ2cnRkdH4XQ64fP5+HmRYhAhX7T/hoeHU+ZOUlBBetAAUFtbi127dkEkEmFmZgbNzc3o6uqC3W7nS1IsFmNqaooRbUKQEyXf1uMLgSPZ2dl4/vnnUVhYiEgkguvXr+PMmTMYHh6G1+vF0tISlEolV2IsFgvq6uoAxM+CUCiU0tpQ4EfvgVarxfPPP48dO3ZAIpHg5s2bOHv2LJqamlgtyOv1YmxsDMXFxTCZTNy83N3dzZWZVFF1YDUf+pFHHsEPf/hDWK1WOBwOzM7O4rXXXkNLSwvsdjtX60ZGRlBWVsYAgtVqxezsLD+v9fLoxWIxysvL8aMf/Qg7duxAJBJhJPujjz5Cb28vhEIhDAYDMjMzYTabGSmlRn/qe1ivLwKBAFqtlnm1RqMRKysrGB8fx7lz51hFSK1WQ6PRIC8vj8/i3NxcmEwmzM3NreI1p2rUe9HY2Igf/ehHKCsrQywWg91uR1NTE9544w14vV5kZmZifHwc2dnZfBZQbxdJvW1EfwE1Sf7VX/0VtmzZApFIBJfLha6uLpw9exZOpxM6nQ5tbW0QCARc/ZBIJDAajXz+JEpBprouer0e3//+9/HMM88gLy8PPp8Ps7Oz6OrqYmBiZWUFjY2NDDZFo1Hu3fH5fKvO57XYugJkQoPD4TA3OJw7dw4jIyOMPObn5yM/Px91dXVQKBRYXFzkskVRURE0Gg0HsdTZnEqZjcSzqWEIAE6cOIH+/n4ehmE2m1FSUoJNmzZBJpPB6XRCKBRieXkZVVVV3MkLxC8yt9udtD6nQCBgtJYO/Ndeew3t7e3w+Xy8XsXFxaiqqkIsFuOGkZWVFWzevBlms5l/h5mZGfYjlUCZMjnSkDxx4gQ6Ozu5e5p8qaurQyAQgMPhABDPYK1WKyYnJxlxmpychNvtTkknlAI8gUDAFzS9KySSPzo6iuLiYmzevBl+vx8LCwucVNTV1WF4eJjLoBMTE+xLsigPoV5isZi/lzSgqYmRlD3y8/P5eyiR2L59O0ZGRlj/cmRkBB6PJyXdUlpHnU7HaN/s7CxLIJL6il6vh1arRV5eHrKysgCAA9ORkRFu7Ont7YXb7b7nNMDPMkKaLBYLf77D4WCd1Pn5eTidTh5skJmZibKyMg4gc3NzMT09zd3dt27dwuLiYkpyTKSGkZOTg+rqal4fShz7+vq4OkX7Pjc3l5OssrIyLCwsYGJiAgDQ1NQEu93Ok8qSMUqEtFottm/fDgDIz8+HSqVCNBpFe3s7ywgRspuTkwONRgOdTofNmzcjGo0yOnnq1ClMTU2lpJJA74pEIuFgvby8HCqVCtPT07h+/To6OzsZAVWpVNDpdNBqtcjOzsbu3bt58AsAvP322+x7svuZzkSiMgBxXXNK9Lq6utDR0YHx8XF4vV5Gl7KysmCxWFBdXc3BD3AHzCBps2TOXPp60hkGgLq6Oqbbzc7O4ubNm+jo6MDCwgIP4tHr9Rwc5+TkMPrV3d3NtJ1kS9X0tYSql5SUYM+ePVCr1QiHwxgZGcG5c+cwMTHBSS5NGdRoNMjMzOTAnJL4xCmeyTwnCpIoKMjOzsZXv/pVFP5RZcrpdOLNN9/E+fPnsbS0xBXEcDiMYDAIhULByY9arebPIh9SpZQB8f38la98Bbt374ZWq8Xc3ByuXLmCl19+me8Z+nlut3vVNFw6U6jJP9l1udsXhUKBhx9+GH/6p3/K1J+Ojg5WpqH9pNPpYLfbkZFxZ/iE3W5HIBCASCRi0GY960Ka1D/72c9Y63hgYACvvvoq+vv7MTs7y/e2RqPBjh07OH6amJhgKVJ6d9djQqEQeXl5+NWvfoVt27YhGo1ifHwcb7/9Nvr7+zlGouB027Zt7Mvo6OgqX9ZT2RQIBNDpdPi3f/s3HD9+HEKhEJOTkzh16hQmJyd5iFYwGORZE0R5GR4e5mbgVBpvkwqQEzM16j4F4hcpBS6BQGCVUL9KpUJ1dTXq6uqg1+tx7do1iEQizM3NobS0FH/yJ3/CnY9tbW34h3/4BwwNDSX1cKnEEQqFMDU1xWU7n8/H6FIoFILJZMLmzZtRUVGBwsJCNDc3c1ZfUFCAH/zgB3zxtLS04J//+Z9x+/btNb/whB4QN4eCzcXFRZhMJgQCAe743LFjB0pKSpCTk4Nr165Br9djeHgYJSUlKC0tZe7X1atX8e///u/o6elJmg8di8Xg8XjQ3d29Cim1WCxQKpWYmppCbm4u9uzZwzqCFy9eRG5uLpaXl1FZWQmj0chZ4aVLl/DCCy+gq6sraQ4lacN2dXUxQjk3Nwer1Qq5XI7BwUGYTCZs374dtbW1UKlUuHz5Ml9y1dXVEIvFfBlfuHABL774Ijo6OpJGtiORCLxeL3p6eviCdjqdyMvLQzQaRVtbGxQKBaqqqlBRUQGLxYKBgQGUlZUxT5e4lABw9uxZvPTSS2htbU3aF3qmIyMj/HnBYBDFxcXYsmULnE4nxGIxcnNzkZWVhfr6egDxcrZUKkVVVRXC4TDTed577z38z//8D1paWpJC2QkJdrvdnExRwNzY2Iju7m5Eo1G+zGtra1FYWMioW01NDQdCQDz4evXVV3Hz5s2UqiASiQRyuXzVwIVoNAqz2Qy32w2v18sqFgaDARaLBfv374dMJkNdXR3cbjdTuE6cOIE333wTra2tiEQiSQcZQqEQRqORObxEQxIIBJicnOSJgjRkxmw2Y8eOHVAqldi7dy8CgQAefvhhAPF+h3feeYfXM9l1oWrX5s2bAcQDjZWVFbjdbpZnDIfDq5D+0tJSZGZmYuvWrauoIlS9GxwcTIlmQecuaeAXFBRAKBTyIJmBgQFWFKGpecQTzs/Ph1Qq5eCtpqYGTqeTJ9ulqsJCkzC3b9/OFcqPP/4YTU1NPMGPgivaV0SZoopEVlYWfy+QfFWTyvUAsGfPHuTn5yMUCmFoaAhvvvkmJicnsbi4yOoJNpsNFosF4XCYJS2BOwoJ9JmpcsUpyN27dy/27t0LiUSC5eVlvPHGG/joo48wMjKCWCzG75JCoYBcLufeFCBehUlEAVP1hRD+bdu24dlnn2VQq6mpCa+++ioPHzKZTIjFYjCbzUztouSbQJX19jnQ2m7atAk//vGPOXFoa2vDr3/9a5w4cYJBPiA+rKiiogKzs7PMre3o6GBqV6LMZbJGZ1VhYSF++tOfYtOmTZDL5RgdHcVLL72El19+GRkZ8RkC9J6XlZUxvQGIxwqLi4sM1KTqC93PWVlZ+OlPf4odO3ZAoVBgYGAAL730En79618DiCd/0WgUVqsVVVVVmJ+fR29vLwDg5s2bmJ2dhc/n4/kOyRq9b1qtFn/+53+ORx55BBqNBoODg3jxxRfx0ksvISMjg88ds9mM6upq2O12dHd3AwB6enowMjICl8v1ib6hNa1FMl+cyIUSiUT41re+xRdBop4lNdj4/X44nU50dXVBo9FgaGgI/f39zEteXl5GUVERBz2FhYU4dOgQS8R91oGdeKCLRCIcOXIEjz76KLRaLUZGRgDc4bUZjUaEw2E4HA5cv34dy8vL+PDDDzE5Ocm8J5vNxvwVII4SHThwAHa7HU6n81N9uTtpqKysxKOPPgqdTsfEcJI40uv1kEgkzLMKBAK4ePEihoaGUFBQAJfLBZvNBplMxgGPxWLBQw89BLvdzuOP12IZGfHBEzQdiRB+v9+PpaUlLql7PB5MTEzAYDCgs7MTLS0tqKio4PXauXMnXxwWiwU7d+7E3NwcZmdn1+wLlbDq6+uhVqv5cKG1IeSN5PAoU+3v7+fLy+VycVMWAOTk5GDr1q2YmZnBzMzMmi+xjIy4fm9JScmqS1Amk2F5eRl+v585XKQjKxAI4HQ6UVBQgKWlJQQCARQVFfEBm5eXh/r6ekxMTCTti0QiQWFhIQwGA1cvpFIpc97EYjFWVlYgFovR0NCAuro6TE1NITMzEzMzM+jt7V2FflHQOjQ0tGZfqKxnsViQmZnJFACRSISpqSmMjo4iIyMD4XCYB+Ds2LEDmZmZKC4uxuDgIEZGRmAwGHifFBYWorq6GkNDQ7DZbGtaD/KFAtKsrCxGfDMyMjAzM4O+vj5GuKhM+8QTT/CFMTQ0hPHxcej1er50CgoKUFpaioGBgaTHn9JZZjKZ+OIQiUSw2+0YGBhgtF4sFiMrKwv79u3jKsjIyAhmZ2eRlZXFiKLVakVubi4GBgaSploQv1Cr1UKn0wGI00s8Hg9GRkYwPj7OY8iNRiMqKipgtVp5EqLb7UZOTg4nMTk5OTAajRgZGUlJr5QmyUoY1QAAIABJREFU+CVOw4xEIozYOp1O7j0hGTPSlI1EIjyKGohrf6tUKpaWTNYXWhsKZqqqqlgO6/3338fExARCoRBTy4ieRIG61WrlNc3KyuJzJpWGcalUyknDrl27uPn4vffeQ0dHB1cWSS+bBhxoNBpYLBauJOl0ulUNdskanS8EQB0+fBhmsxmxWAy3bt3C2bNnMTExwbx9ovtt2bIFZrMZ2dnZvIeI1pUqQgrE9w3RR55++mkUFxdDJBJhbGwMJ0+eRGtrK4LBIJRKJTfw7du3D0VFRdDr9Yyy0lm3noBUKBQyCPXd734XmzdvZlT9vffew7lz55jiRugxNQorFIpVKDoF6+uhcVHy/fzzz+PAgQN8H50+fRpvvfUWvF4vZDIZlpaWYDKZsG/fPpSXl69Csz0eD095XY+GN8nGPfvss3jmmWeYQvvRRx/h1VdfhcfjgUQiwdzcHLKzs7Fv3z7U1NRwggfEQVOaIpqKL1TxJz9+9KMf8Vl3/vx5vPLKK1xZmJ6eRnZ2NrZv347t27fD4/FwvENN1Kn6kTTFgkoJFosFZrMZHo8Hy8vLfAEUFBRwoHj79m0eV0kTcUi/lNQalpaW2HGz2YzHHnsMdrudM5BPQyoTyz1UtltaWmI9Uvq8WCyGuro6TE5OYnp6mtFu4q3QIQ7EgzV68c1mM44cOYK5uTlcu3YNdrv9U8uzFCQTR8lut7PYOADmGOfn58PpdGJqagpLS0tYXFxET08Pl6IBcDBGv7fZbMaBAwcwPz+Pjz/+GA6H41MPqMRgXSaTcSlidnaWObRSqRQejwclJSU8OS4YDLJO8/LyMgYGBgDEs9rCwkJGZUwmE3bv3o25uTkuy63lsCSd2oGBAUxPT/O6iEQiuN1umM1mRKNRuN1unp40NjaGlZUVDoikUim0Wi3TV0wmE7Zu3cprSQNWPs/onent7cXk5CRvwkgkgsXFRe5qD4VCqKmpgVKpZOWR3t5enhxH3GggXgqtqanB7du34XA4EAwG1xSYUoY8Pj6O6elpvqCXlpYwPT3N06VisRiefPJJVFZWQq1Ww+PxoL+/H21tbZDL5di9ezdfZCTyn5eXx7y4z/OFAgyXywWXy8XVBr/fj76+Pm4cCoVCOHToECOSOp0Ow8PDuHDhAnQ6HbZu3coNRhqNBkVFRczPWysqSPs6HA4jHA6v6ifo6urioQpUinzqqae4ga+3txdNTU08xpeqA6StrdFouMN7LUacX6KR0PvldDrR19eHubk56HQ6hEIhFBQU4Pjx4ygqKoJSqcTY2BiuX7+OpaUlNDY2cpIpkUiQlZWVtF4prYtEIoFOp2NU0O/3w+FwYGhoCEqlElqtFpmZmaitrWVuu8vlwujoKPR6PTQaDb931LySOIwlGV9oT1JQKpPJYLfb0dnZycoZRMdRq9VQq9WIRqOw2WxMG0tsbKJ+lWR9oaCUlE2AODfU6/Wira0NNpuNAQfyW6PRMJJ6d+BHiWCyRn4YDAZs3boVAFiftbu7G9euXYNYLIZKpUIoFGKKhVqtXnVv0ZqsZ6Q9+WI0Glkdp6GhAUC8FP/aa6+xyhQFD0qlEtnZ2VwpAu4E5l6vN+nqCxlVV/R6PXbv3g0A2LlzJ0QiERwOB1588UVcunSJte/9fj+ys7NhtVohFAp5wh/FCR6PJ2XKIennarVabgAmVN3j8eC///u/8Zvf/AYOh2NVQGU2m7ky4Pf7+X4makqqCQxpp1Nl8OjRo9yo/8tf/hL/9E//xKCR3+9HMBjkpv7MzEwsLi5ygExxRKoJjFQqhVKp5D301FNPsdLYr371K/zd3/0dB700zZACdKPRiPn5eT6vFxcX4fP5UgpKqXpI1fxvfOMbTGl7/fXX8Td/8zfMy6degUAggOXlZRgMBgSDwVX9PKn6ASQZIK+srHBDxNLSEk6dOoVYLIaCggLOdEtLSzE9PY2ZmRnY7XYsLy9jcnISfX19/IAJeaBxwl1dXQDiEmQSiQSNjY3o6+v7TF+o4xmIb5iWlhYYDAZUVlZyAFZeXo6lpSU4nU6Mjo7yRT08PMyHs1gshkKhQE5ODpcpgfgFLxQKUVFRgfb29k89uBM7YYPBIGZnZ9Ha2sqi3eSHy+XitaD16enp4XGR1BhnsVjgcDjQ0tLCfshkMpSXlzOv89M2QOJBSp9LATVdqOXl5bDb7Uz8n56extzcHK5evQqhUMi8X2oEIlQKiHfJajQalpMhZYXPM6o6EBJKHNe6ujo4HA5Geubn53HhwgVcvnwZJpMJg4ODzDHOzMzkxgQgjn5ptVps3rwZbW1tCAQCazowqWGAOMgURFVXV8PhcCAQCGBhYQE+nw8dHR3o7e1FYWEh+vv7MTMzA5/Px5UAmtZDY8N37tyJzs5OhMPhNa0L+ULJDAXI+fn5qK+vZyWClZUVLCwsoL29HTU1Nejq6kJTUxMmJibYF+Ksl5aWstB9d3f3mmgWxFUkTh9d1FKpFKWlpfD5fFhYWOC9Qlz6trY2nDlzBl1dXcjKymLkB4gnDXl5eSgvL0d/f/+aKTlEUVlZWWGJMiB+aJrNZhiNRubVlpaWMq+M5AJv376NwsJCFBQUMDppNBqh1+uRlZWF8fHxNQcd1HRHI88piSXut06n46bW4uJiSKVSRKNRnhLa29sLp9OJ+vp6DkKpwVOr1WJ+fn7Nlxn5TLKZdOATzUQikXCAQwgoUdm6u7sxPT0NrVaLxsZG9kUul2N5eRlyuXxVg/JafAHu7OvE4Rxut5sbjk0mE+RyOcRiMSQSCQKBAKanpxGLxeBwONDQ0MCfFQqF4HK5IJVKOTBMxhdqACQggJq1p6ammE8L3Ok/oAuVgA+VSsXUIqfTyY3MyUi90R2hVCr5jFOpVFhcXERnZyfm5uaYmiORSCAUCuHz+eD3+7G8vMxJNwU8U1NTTMVI1ihxSJQkU6vVWFhYwOXLl9HT08PN8nQWhkIhHmyiUqkgkUi42jcxMQGXy5VS4xfdJ/n5+aitrQUAVkIghRxae3pXMjLiE2BNJhOr6VD5fmxsLOXBDxSUUkMpAJ6uePPmTZw+fZrvO6LhUEWgqqoKFosF3d3duHr1KoA41zaVwRzki0qlwp49e3DkyBEA4Dv49u3bePvtt1c1RZKk4ubNm7F7924UFhZibGwM586dY19Sbegknu/Bgwd5UJRQKMTi4iImJibwhz/8gYNO8sVgMGDv3r04duwYioqKMDg4iDNnzgCIP6NUfKHq18GDB7Fnzx4A8XNmeXkZDocDr7zyyqqqYkZGBoxGIxobG/H000+jvLwcPT09OHv2LACw4kfKDf3JfgMd1BTsnT9/nrvfgXgQTRc7cc8ikcgqJ1dWVrC0tIShoSE8/vjjzKGZnZ2F1WrlgCAxCP40XwDwdLPW1lbMz89zB6NYLMbs7CxGR0e5KYaC/MSDmbIQqVTKgYbD4UBWVhZLqXze1CnKZgKBAE8golKF0WiE1+tlBIymBCVqxlJG5vV68eSTTzIPzev18gQ3uozWckhFIhGIxWJoNJpViGZ2djZEIhHGx8exvLyMcDgMr9fLKgD0rIine/jwYeZSU+C3srLCOslrycxisRhP0KLsEIiXm6nrlmSxJiYmoFQqWbHC5XIxkrhlyxZ+PpSQED3D7Xav6aCikm9hYeEqPdmCggJUVlZycuP3+9HZ2Qmz2cxltrm5OQQCAe6Cp0OaEE3S96aqyVpMIpHAYDAgHA5zQEcjry9dugSXywW/34+bN2+itLQUIpEIo6Oj6O3thcfjQSgUgt/v5zGsxAujJJSQh89bE7rElpaWOJggLubKygpfpnNzc1CpVBgZGUFbWxuam5u5SQMA/945OTmssUtKKXQerMUikQicTicH68QVnZycxPDwMMRiMZaWlmCz2eBwODAwMIC2tjb4/X5YrVZOCIF4YBCJRBAKhSCRSCAQCNbsRywW109eXFzkfWcymbghjBqZSDGGKlStra1M0SkoKOBAmJqNKCkWCoVJ+UJ848SAm84z4vjSeUXylhMTExCLxSgoKEBOTg433QYCAeYIUpVnrU2MhLgGg0FWF9Dr9YhGozyimJA1mhhKqjE5OTmMbhPdgPjQiVJtyTRUUmKVGJj6/X5+P4izTrJ71PxFFBFq2gbijVeJwX8ievl5awKAKRtAvAFsbm4O/f39sNlsTG+jM5DuFavVylRDquDRxE7gTjVjrUgY+UKJJBAPSufn53H16lVMTEzw2GSq6CoUCphMJpSVlfEzI8CIePbkSzKcaOLxJ/YsyOVyTE9P49SpUxgdHeW7UKFQML2qurqap4oODQ3h+vXrAOLvCqH+FCQlgybLZDLU1tZy061MJsPo6CjeeustvovIl+zsbBQXF+PIkSNMVWlvb8etW7cAgNWp6Lkky5/XarV46KGHOFgXiUTo7+/Hb3/7W4yPjyMSiXA1ICsrC5WVlfja176G0tJSrKys4MaNGwwmEqKbajCYnZ2No0ePcsXB7/ejo6MDr7/+OiYnJ5laK5PJYDabUVtbi+985zsoLCxEKBRCc3MzA1gkjJAKXaqgoABPPPEEo+oOhwPNzc14//33GeCgZDIzMxMFBQV47rnnUFZWhlAohJaWFm6gp4Q0VQ38dekg22w2bhAizkdlZSUjEsCdgyvxodHf/X4/uru7ufxVU1ODkpIS6PV6vhjX8rDpMu3t7cXc3Bxzf3Nzc6FWq1nT8l4dyfT3cDiMwcFBvlgrKytRVFTEnNW1vHgU0DU3N8PhcDAdwGAwICsrCwsLCzwKN5ETk/i5oVAIw8PDjCaWl5ejoKAA0WgU2dnZq/i7n2XRaBSLi4s4d+4clpeXV5UY8/Ly+JIlDjAlCokvUjgcxvT0NKOsdNmTbid1sa7FF5fLhQ8//BArKyssHSSTyZCTk8MC9lQqCYVCzMGlDUb8JvregoICZGZmwuv1YseOHThz5gyjEJ9llNw1NTWxHjUA7iAvLS2FSqViiodQKITdbsfg4CDrUxOKR0lh4R81OkUiEcrKyuD1etektRiLxeDz+dDW1obi4mIeXJObmwu9Xo+Kigq+uPV6PaxWKzIyMtDX17fqnZFKpYwS0TtHQzwoCPo8CwaDGB8fR1tbGyM1EokEarUahYWFnEgFg0EeojI+Ps5SjiS7RkmhVCplFFgkEiV1SBFiMDIywsFCaWkpBzPU3U3JBQWnWq2WS+1yuZzPEIfDgZGRESwsLPAln0zzYjAYhN1u5yYhapRTqVQoLCxkvVaiCAgEAi5VZ2dn854H4tq2g4ODa06gEo3OjKWlJQYVSNosEAhAKpUyX5ICXqrYaLVaWCwWRsuAeCMNIaypGEmU0b6jASnUKOT3+/lZkHqEyWRCfn4+CgsLoVAoVjU7kVQn/a7Jrk2i9jUlQYQ2EopM8pskv1dZWckUL6pkDg4Owu12J63LTEGsXC7nhFEgEMDj8WBoaIh7UdRqNTd6ms1m7Ny5Ezt37oRer+dhJgAYaKJAMJlgg/yorq7mc0UoFMLpdLLufDAYhFwuZ39qampw/PhxbNq0CUqlEgMDA2htbQUAHipFa5GML9RARQoa9G+zs7Po6enB8vIyo9eEGlNPkdFohMfjYY164I5sYyq+iEQi1NTU4Dvf+Q4nMT6fD+Pj4+jo6ODnLpPJUF1dDbPZzL1W9L5euXKFVWkITEqsZKzVpFIpjh49imeeeYbvZ7vdjv7+frS2tnJVR6lUYtu2bTCbzfje976HTZs2QSKRYGJiAhcuXGBwhBLMVAJkhUKB559/Ho8//jgnqIODg2hvb8fNmzc5ZtFoNDh06BDy8vJw9OhRlJaWcs/MhQsXOA4kCkyyvmg0Gvz4xz/GoUOH+N/m5uZw48YNXL58mdWdtFotnnjiCRQVFSE3NxcNDQ1Qq9UYHR3FxYsXV2m9p0oNAtYp8xYMBmGz2bC8vMwHncFggFAoZBj+81DXkZERvlRlMhk8Hg/rUCZjgUCAS1J0kRkMBp7yJZVKP/dSGh4e5k1DU2sCgQBnQ2tBbgOBAMbGxnh4AQA89thjMJvNiEQiUCgUWFhYWBUsJL5EJPhPaKJGo4FUKkVubu6qy3Cta3L79m0W6QeAY8eOITc3l7WaKckhlQC6EBKF2ClAtlgszN0Ti8Uwm82MLq/Fl/7+fgQCAV7jp556CllZWYjFYqz/DIARdpKqoc53o9HI/CiayEjUipycnDU3g4VCIUxMTODixYucaR4/fhwKhQK5ubnIzc1lFIMQbEIhMzIyoFarUVRUhE2bNgGIB7TRaJQ52SqVig+KzzNqhiQ+MRBvYCFevcVigdPpZP3JxcVFFBYWMoffYrFg06ZN3FwaiUQwNjaG1tZWeL3ez92DZJFIBB6PB1NTU0zvKSoq4sYns9nMDaTz8/OcaNH0JKJT0OFKova9vb2sNb5WI6TZ6/VygLx//36o1WpUVlYiOzsbMzMznIjTJDsKBkpKSpCfn8/7fXZ2FtevX8fc3NyqwTdrMdoXsViMg1LaH3QoT05OIiMjA6FQiPlvjz/+OPLz81FTU8NcfyAulUhl2VSk1WiP0l4hJLeyspKHgNCeoUrEtm3bUFJSwskbUYOI9rVWzvzdvlAAnjgcxuv1wmw2o6qqipt5SPFIrVajtraWFY2WlpYY/aLq23r0zYmeQb4QQkxNgUQ70ev1yMnJwcGDB7F161YIBAIeoASAk7lETfzPs8R3SqFQcNJA/R2EAFIyolAomLf/2GOP8TCg5uZm9Pf3A7jTL5HsQKJEXWitVsuVLp1Oh5mZGQgEApaTo1J5Q0MDvvrVr2Lbtm0QCASYmprC+fPnVyWFib6s1ShhVKlUUKvVXAGMxWKsVkXKNHK5nNHaY8eOwWq1IhgMYmxsDNeuXVulk51K0EN0EovFsoqWRjSkcDiM/Px8LC0tMUf50Ucfxc6dO3nQRHt7O9rb21dRH1JRo6EhGkVFRRAKhfyMBgcH0dnZiVAohE2bNsHpdMJqteLYsWM4cOAAgyZ+vx8ffPAB36n0man4IhQKYTKZuOmPfOns7GQa6Pbt22Gz2dDY2IgjR45gy5Yt3Ajtdrvxq1/9ikGkRF+S2csikQglJSWoqqqCQCDg533jxg10dHTA5/Nhx44dmJ6exmOPPYYDBw6gsrKSQZiFhQX87Gc/w9jY2KqBTOuRmFtXgCyXy1eVcoA4WkOIESE6iXSJRM6uWq1Gfn4+tmzZAiCOxE1NTeGNN95Iip8HxEtq1N1OKLDb7YZOp8P8/Dw0Gg3EYjFsNhtPdaMHSPzPzMxMDnqsVitGRkZw9uxZDiLXYjQ5xuVycak6FAohLy8Pi4uLUCgULFtDyB4dxiKRiLmNhAjm5ORwtt3V1cXi6GsxuVyOcDiMmZkZDlzUajUsFguP26ZyGonWE+9TJpMhOzubm06AO1QCl8uFM2fOYHJycs3PiOgYw8PDjKbt3LmTu+rFYjFqamqQm5uLoaEhrKysMCKkVqtRXFwMvV7PgT4pc3R0dOCDDz7gd2wtRuhmR0cHJ3akuUvqHjqdDnV1dejo6EAoFML8/Dw32Gzbtg27du3iLmitVove3l5cuHABV65cSYpDSc1fLS0tXJ6ikb0kjk9869HRUXg8HgwODrKg/9GjR9HY2MjcS7fbjcHBQdbMXOuakAoNaQwD8caUXbt2wWQyISsrC7m5uVCpVJicnORRztFoFDKZDLt374bFYuGKwtWrV9HZ2cmSbMkclFTCnZmZwZtvvgkgzlffsmUL8vLyUFJSwtO+pqamGJ3Mzs5mzWyxWMxSP4naw6nomif2XADxJLOsrAw1NTUoLi5mVINKxQ6HA0VFRayWEggEeNIeVXSSoTPc7YvX68XHH38MAHj88cdhMBiwf/9+FBYWYn5+Hl6vl99rvV6PsrIy7nGYmprisnl7eztfaMk2sRBaGggE0N7eDiAeaIhEIhw9ehRarZY7yIPBIAoKClBfX4+qqiqe3tnd3c2/B0l3pSJnRpJ2gUCAf2/SDt+/fz83ibtcLsjlchQUFOCpp55CVVUVfD4furu7cfPmTU4M6SwE1q4eQfcIobSUrFMD56FDhxj9D4fDyM3NxUMPPYTHH38cJpMJU1NTOHv2LM6cOcPnAO2vZNeEfBEIBBgZGeHELj8/H+Xl5Th48CAuXbqEpaUl6PV6PPzww3jooYe4Itbc3Izf//73aG5u5iAlsREtWZlEunvGx8e5Akhj5Ldt24a+vj4Eg0FUVlbiqaeeQk1NDQwGA/Olf/nLX2JkZGTVQJ5UENtYLMZjiF0u16rhT5WVlRgdHeUq744dO3Do0CHk5+czF/vs2bP4j//4DzgcjlWVjlQSulgsxpNqfT7fqob+iooKLC4uQq1WIy8vD9u2bUNBQQGysrKYNvrWW2/hX/7lX+D1etc9LS8Wi8vxer3eVVRYs9mMiooKRCIR1NXVoaqqiqsLCoUC4XCYpQtffvnlVX1AqSa6ZrMZfr+fk2UgThv0eDxQKBTYt28fy68Gg0HebzRg5t133111xqeabJOtK0BeWVlh6RxSsTh06BCmp6eZ7kDjOgOBAAcDcrkcTz/9NKqrq3Hs2DHeQPPz83jhhRfQ2tqa9EMPh8OMqpAvxG+2Wq3cjEZlQbVaDb/fD5FIhMOHD6O4uBhf/epXedPMzc3hhRdeQHNzc1IXWaIfhKzQ4AuSUltaWoLFYmG0xel0cpaWn5+Pb37zmxzkLyws4PTp0zh58iTTIVLxhbLC/Px8RCIR1NbWor+/nzN7mhA0MTEBn8+HhoYGZGdn44knnuCg1OVy4fr167h06RJmZmaSOrSpOxkAo7ZjY2Pw+/3Ytm0bTxuk5hoa6enxeNDQ0ICioiIcOHCAG1YmJydx8uRJLqck4wuVzQGwZvapU6dw/fp1HDt2jDceNWioVCoOUrdv345NmzZhx44d/HyvXr2Kt956C83NzUkFx2T0OaQ5+vLLL+P06dP4+te/jvLycqjVauh0Om4UC4fD0Ol02LZtG0pLS5GXl8dJx5kzZ3D+/PnPVDu5lxEXlpIYAHjhhRfwhz/8Ad/+9rdZd9lkMjHaJxAImNtKHEYqbV25cuUTpdC1GnH6aCgIAPzrv/4rqqqq8L3vfQ9FRUU8xpm4uNToqFQq+VKn36O/v/+e9Kq1+kJcW+Id/uM//iOOHj2KRx99dNUUv/z8fMzPz2NlZQVGoxFSqRTT09Po6+vD22+/DeDOM07FCJUJBoO4cuUKAOCVV17B8ePHUVpaukpCjQbMAPHkLxwOo6+vDxcuXMC7774LAPysUm28ikajCIfD3LDU0tKCxsZGWCwW7Nu3j5vPnE4ntFotjEYjjEYjaxOfOXMGly9fBnBn/GsqviQCL4QCkwRVSUkJnnjiCZafW15exp49e1BZWYlYLMYSY7du3WLkNhEFS3ZNCOWnIHdpaYl7dAQCAbxeL8RiMfR6PY4ePQqdTofl5WXcuHEDr732GsbHx7kqR/s3lSY9GumdOOY8HA6zwglV7LZt28YVosXFRQwNDeHUqVO4cOHCKkWbRGArGSOOs1gsXtWrIBKJkJOTw8GOUqnEwYMHuTm+o6MDHR0dOHPmDDeE301JTMUX0ipP7PmIRCI8zvrgwYMwmUxoaGhg7vk777yDK1eu4Pr16xgaGkppONW9fKFzIxqNrrpjc3NzkZ2djT179qCwsBBWq5WD1+bmZpw8eRInTpxYxZVfj1GyS+gz9RQYjUbk5eVheXkZO3fuREFBAfR6PZaXlzE/P4+PPvoIb731FlpaWliWdz2+EC3K4/HA7/cz6GowGFBcXMzKRdnZ2YjFYrh48SIuX76M06dPw+v1cn9QqknLvWxdATJdkqQtCYA7LWtra6HT6bBr1y4MDw/jo48+YqkO6kikpiNCV86ePcvZZCq+JJK3AXCDyEMPPYRbt27h8OHDcLvduH79OpfBnU4nvF4vo4fEQzt79ixPnEvGiKdF6wLE0QydTof6+nrY7XaehjY5OQmZTIaBgQFMTU0hGo1yZzc1JDQ3N+PcuXMYHx9PulRAwQltAPJPp9OhrKwMY2Nj2Lx5M6qqqjAwMMA+T01NQSgUYvv27RAIBLhw4QIAoLW1Fc3NzZiamkqaAnOvhMdmsyE3N5dVIsxmM4qLi6HRaJhzPD8/D6lUygcWoTwff/wxrly5knQgmLguiQcsXZ4jIyPo6OhAfX09KisrGcnIy8uD1+tlWSuv18vr8sYbb6C9vT3pBAa4k2knXvIkzUd7aceOHdi5cycikQimpqaQk5PDkw6zsrIwNTWF9957DwDw61//GgMDA0m/t3S40SUPxMt9hPgbjUbU1NRg+/btHPiZzeZVygGtra145ZVXAMSHc5CEYCp2N++ytbUV3d3dmJmZgdVqRVFREUpKSphTnpeXx5x6r9eLlpYWvPbaawDiQVMqIvF3+0KJ8tmzZ9He3o6xsTFYrVZkZ2dDp9OxGL3ZbIbX68XMzAympqbwu9/9jnmlJEeYStmPgi+SRASA119/HRMTE3juueeYSyqVSlkaUSQSYX5+HqOjo7h27RpOnDjBSWGypftEo3I7VaiA+MRQn8+HxsZGTrqtViuPu19aWsLo6Ci6u7tx5swZXLly5RNqBKkEHuTL8vIyo+PvvvsuHnvsMa44UGDq9XqhVCrhcDjQ1dWFS5cu4erVqxgdHf1EM2sq5204HGYZTCDeQ3LkyBE0NDSguroas7OzyM/P54mUDocD586dw+9//3v09/evkj1NdU3oXaVmcUpgqEq2e/duhMNhLCws8B0cDAbR19eH3/zmN7h69SpXTe9eg1TelWAwiOnpaUxPTzOtwWQyQaPR4PDhw9BoNAiFQjCbzQgGg3A4HPjtb3+L8+fPw2azMap5989O1heiJo2Ojq6ScVOpVFAoFDh+/DgqKiqYy0tzG/7zP/+TR5SvF61NNL/fzxUfMqL3aTQa1NfXIxwOw2azoaX9lyymAAAgAElEQVSlBbOzs3jvvffQ3d3NFK2NCARjsRhXWShWAYCysjJYrVauPFCf1u3bt7naQY3rG+EH9U0tLy8ziAnENc2Li4v57F9aWsIbb7yB999/H21tbXC73SkDIJ9n6xuQnba0pS1taUtb2tKWtrT9H7N1IcjUeUqaiUC8RFBZWckTtjIzM7kUWlFRwbp0mZmZMBqNmJycZCSOEMFU0JVgMAiZTMYoChDXBdy0aRM2b94MhULBXeakxNDR0YFAIMDI5fz8PC5dugQAaGpqgtPpTDp7pwlfCoWCm/TGxsawadMmWCwWbNmyBZFIBFlZWawJqVQqUVNTA4vFgpqaGszOznLp8fLlyxgfH08asQXAYvSEKgHxcdElJSXIyspCUVER5HI5D7qgUnJFRQVyc3NRUVGBzs5OfPTRRwDiSNz09HRKWTQ1RxFtAYjTG1QqFXp7e1kuyuVy8UCBkpISbN68GRaLBTk5Obhx4wY+/PBDAPGx5CR0n4ovRA8glJ8UKm7cuAEALHxO43Crq6uh1+t5UM4777yDt956C0BclilxyEwqviQOoiA1kYGBAWRkZMDn8+HGjRvcMXzw4EFotVr4fD709PTgww8/xMmTJwHEeX5rHZpytx/0fCgLp+bUgYEB5tieOXMGZWVlUKlU+P73vw+Xy4Xu7m40NzejqamJ1y+ZgSmf5gspMQDgZtnr16/j2rVrMBqNWFlZYRT9Bz/4AXp6ejA2NsYya0RnWE/zF71ficg6Tc97/fXXEYvFkJuby2dadnY2Dh8+jNbWVkxMTGBiYmIVr3s9HdWJZxH9fXJyEh6Ph2klJSUl8Pl8UCqVPFCkqamJh9HYbLZVyHGqiEsiH5WqBM3NzVheXsbMzAxkMhkKCwshFosZzST9WLvdjvn5+VUKOOtBfugZJU7yOnnyJGKxGHbt2sVa4UD8ne7v78fp06dx4cIFRqzW2vj8eX6Q/CTRyE6fPg2TyYT6+nrufaH3u7u7G6dPn8b//u//8uSxjUAoSZVIJBLB4/GwKo1cLodcLkdhYSH/HGosPn/+PF566SXcuHGDlYTW09yU6AtJmM7MzHBllCqqpAazuLiIhYUF9PT04MUXX8THH38Ml8vF+3ajkFKfz8eDdaixGYj3HOn1etahbmtrwy9+8QvcvHkTi4uL61KI+DRfPB4PJicnMTg4yNSTUCgEg8HAfT8TExN4+eWXcerUKczMzLBU7UaipVSRGhsbg9ls5jsxEAjwGeJ2u9HU1IS33noLHR0dmJyc3ND1ID9Id5koQuSH0WiEWq3GxMQEXnrpJZw8eRILCwuMHt8vy0jmwzMyMj7xxVSWp2lrRUVF2LdvH2tiOp1OHs+bn5+P5uZm1uk8duwYXC4XfvGLXwDAqsETiX7FYrFPkI0+zZfEQRS5ubmorKyEXq9n0XTiT5rNZvT09DDX8ZFHHkFPTw9+/vOfA7gzOehumZ+7fbmXH8QvIj+o2Uqr1SISiXBZC4grQyROGtu+fTvef/99/O53vwMAJr5/nh+f5Qvp8wLxQ5KGU+h0OtTW1rI2a3FxMQBwA1h+fj5+/vOfc7mQ6COp+gKAkwcA3KRAUoFbtmzhA3Xr1q1MJaCk47/+67/4sP+0ZqtkfCFZKvo7lRTlcjnq6upYI7ahoQF79uxBIBDA6OgofD4fzp07xx3enzG4JSlfEr6Pvpa7zAUCAQwGA2pra7F7926Mj4+jq6sLTqdzFW/x0/bzWt7bz/KDuv8zMjKg1WpRVFSExsZGXL58mZvTPB7PWuTtbsVisca1+HIvzW/a43q9nqd/Wa1WVFVV4fz58zyM4W7JwntZMs8n0RfqzKfEk6ZrkQqKWq3GlStXWDJqLUFxsr7Q5UH9H3SR0URRek4ej4eBgLVSO5L1hfaQXC7ncdIk1+Xz+VgXeXBwEJOTk0ld8MnuIUq+s7KyUF5ejr1790KtViMcDkMikcDhcKC3txdtbW2rfFmLrXUPUTMvEJejbGhowMGDBxEOh2G321n2rqmpCaOjo5iYmEi28W3NZ79SqYTRaAQQH2i0fft27N69Gz6fDzabjYepvPvuu8w5TrLx7XN9oXPMbDajoKAAQDyRq62tRWFhIQ9lun37Njo7O2Gz2ZhOlIyt1Re5XI7S0lKWnCMKAQ33+uijj/Dee+/B5XJ9Ym7CRvpCZ3t9fT2vCzVle71enijc2tqadHNxsr6IxWJYrVbU19dzHCASiSCVSjExMYGBgQHYbDamem6UL3f7oVAoUFVVhfLycn4+lDj29fXh9u3bCAQCKdEZP8uPT7N1B8h3GyGSdIlQ9khBTmJmYDQaoVKpmPdLGyLxhfzjQbrmQzLRpFIpIz80oILI3KT/SJmbWq3mh5DoSyJydC9fPssPulBpQhlxpJVKJQKBAE9wIuUK4tItLS1xkwf97M/zY61rkri2NOqUmg6USiUj+xKJBPPz83A4HNzMk/h9iYfXRvgCgDtjI5EI1Go1TCYTI5p2ux0+n+8TnNb1BOufZbQuFDAbDAZGVmgIzt1oz/3yhdDlWCzGlRCv18trtRYpm2Te208zuVzOQRZ1gyeOw13jRbLmAPnTjBRwaGgNoZTJTD0DNua9JSkt4p9So0myChUb4QtpQAeDQUZE1zrVcSN8IVnG2B+74uVyOQMS1NB3PwKNu/4fAHDzZiwW4wAxGo1yJSLZd+VevqzFD6lUytx+GtdOXfo0Avd+rwklvWKxmAET4pTOzc0hGAymXAFLxhcKlIE7jfSJw5Woepwqcp1M4pDoC70rNMrd7/cn3cORii+J8UHie0vDQWKxGJ8r99sXiskSx87TlFLgTo/KepsTP28PkSxpYkUVuDM0KBnpxWT8+DTb8AD5j19HTnxC2g24I2JOTR6fV1baqEDjbh9pkygUCgSDwTVdJhsRaCQaIVOkmkDB6kYiTsn6QigdPZvPe0fupy9//Kw1b8775csfPzvx53xpvqRSXrsf722KZb51B8gb5ctGPJ/Es458ud+BxqfZ3euQCvL1f9GXxMA94XPX7UsyftAZT8joRqNfyfpC9KX1qiBshC+J6h/rsY3wZS1gwxfhC/mz3kBwo3zZKNvoe2ij/Pg0WxcH+TN++Gf+XSQSQavVcjn0yzA6MEkvcqM4V8na3RlRKojCRvtCWfxGc4xS8QVITfppI+3LeC8+zR4UXx4UP4Av15e798eX6ctGKA5slD1IvqwX9doIIzTwQbBYLHkN7vtlG4FKbpSlmPDfN3uQfPn/q92XAPnzjCbwPQgbgxo7vuwLn6aHPQj2IB1aQPqgSFva0pa2tKUtbV+sJRsgOwCMb8QPTiIAK7jfviQRHN/Llw3zIwm772uShKV9ubc96L58GX4AD44vD/rzAdK+POi+PCh+AGlf0r7c2x50Xx4UP+5pSXGQ05a2tKUtbWlLW9rSlrb/65YeFJK2tKUtbWlLW9rSlra0JVg6QE5b2tKWtrSlLW1pS1vaEiwdIKctbWlLW9rSlra0pS1tCZYOkNOWtrSlLW1pS1va0pa2BEtKxeJBEnV+UHx5UPxI+5L2JRlfviw/ADhisVjmg+DLg/x80r48+L48KH6kfUn78v+qLw+KH59mG66DLBAIIBQKIZVK4fF4NvrjU/JFJpPB7XZ/aX7Q5CK5XI7l5eUvzQ/yhaYH3suXjZres1ZfaKqiz+f7hNxe4oCQ++0TTVGSyWQ8zTDxZ9JYUuD+Dx4gXyQSCQQCAYLB4KqfSf8ei8U+MXr7fvgikUggEol4nDP9u0wmY3H9JPxIWdKH3l0aRxoMBnnYj0Kh4AmU9O/30+gZ0RlD60L7nAbt+P3+L2Q/kT80ATPRFyAuZenxeL7QvS0UCnlPi0QiSKVSXrPl5eUvVHue9gsAfodEIhEkEgncbveXMsSDpoWKRCLIZDL4fL4vbYAHrY9AIIBEIkEkEvnSdPnpDkocB/1lDVlJvA/peSWexV/kfXm3X3dP/fuyfLnXz/4yfUm09fqxYQEyBTN0mUqlUni93i/t5QEAmUwGsVgMhUIBr9eLaDT6hQeAAKBQKCCTyaBWq+H3+xGJRNiPL2p6T6IvCoUCRqMRGRkZCAQCvOmj0Shv/vu5Tnf7Yjab4fF44Ha7EYvFEAgEVs2g/yKemUwmg1wuR15eHjQaDRwOBwKBAFwuF1ZWVuD3+/lQut8Bskwmg1QqRV5eHhoaGjA1NYX5+XnMzc0BANxuNx/WoVDovq0N7WWj0Yj6+noAgM1mw+zsLDIyMuByufhZhsPh+xrwCAQCvrwtFgusVivcbjccDgcAcDIejUbZl/v9/goEAmg0GmRlZfGgH6FQiHA4zP/RhM77uTaJwbHJZEI0GoVAIOBzeGVlBT6fD4FA4AuZ6EaBjcFggEQi4f9oYmkoFOK1+SICQoFAAKVSCZFIhIyMDCgUCsRiMYhE8etPKBTC7XZzQHg/zxqRSMSj66VSKd9PAoEAKpUKCwsL7Mf9nmSaCEBQkqlUKiGTyZCRkQGbzcaJ7/1+h8lon8vlcsjlckilUggEAjidTl6XSCTyhQyyStxXUqkUGo0GGRkZWFhY4D0UjUa/sOA9MSlXKBSc3CU+ly8jwRIKhZBIJFhZWWFfMjIyvvCkJnGce+KI+/W8KxsSIGdkZEAqlQIAGhoaEA6H4fV6YTabUVVVBYVCgeHhYQwODsLhcNzXQIOQLQDYv38/VlZWsLi4iJqaGjz00EOIxWJobW3FjRs3YLPZONDY6IeZkZHB6M2jjz6KjIwMOJ1O7Ny5EwcPHkQ0GsX169dx4cIFTE5Osh/34wWnSwEAHnvsMchkMvj9fhw6dAgHDhxAJBLB1atXcfLkSYyNjfEmvB8IQuK6PP7449Dr9QiHw9BoNNi/fz8yMjJw8+ZNnDhxAv39/Xxg0uW+0b7Qe3vgwAEUFhZCp9NBKpVix44dAICenh784Q9/QHt7O48lp2Rio4182bp1K6qrq1FQUIBIJIInn3wSgUAANpsNp06dwq1btyASiSAUChEIBDb8IpVIJACA4uJilJSUoLi4GCqVCnV1dVhYWIDL5cK1a9dw8+ZN/p5AIABg40ctUxCjVquh1WphNptRVFSEgwcPwufzwe12Y2BgAF1dXfB4PAgEAggEAgiHw7ynN2ptKLCh4NNoNKK8vBw7d+6ETCZDOBzG9PQ0bDYbRkdHsby8DIVCwUgysHHVh8TghgIKi8WCvXv38vm3sLAAABgcHEQ4HGZffD7fffGFUD+RSAStVott27YhLy8Pubm5EIlEmJ2dxcjICIaHhxEMBuHz+fjZ3F2x2QhfgPjayGQyFBUVwWq1wmq1Ijc3F2NjY1haWsLo6CjEYvGq838jkr27/aDLWy6XQ6fTITc3F5s3bwYQ3zs9PT28j71eLwBsGKJ8ty/A6kqvQqFAbW0tGhsbIZPJcPv2bcRiMQwNDWFpaQkAMDs7y+/NRvtC9w2BSOXl5di6dSt0Oh2cTicikQiGhoawuLgIABgYGIDL5Vq3L5/lo1gshkgkgsFgQElJCaqrq2E2mxEOh9HR0cE/f3BwkIGL+2VUMaNEs6CgAJs3b4ZIJMLo6CifLePj45ienr6vvtDzI2RfLpejoKAA2dnZcLlcfA8kAjr30yhukslkMBqNkEgkq2IFv9/P52AqtmEBcm5uLgDgb//2bzE2NoabN2/iww8/xPT0NPbv34+srCxYLBZcv36dkaf7QXvIyMiA1WoFAPz93/89pqence3aNbz//vtoaWlBQ0MDiouLEYlE0NXVxZtuo33JyMhAfn4+AOAnP/kJ7HY7rl+/jvfeew/BYBAVFRVQqVSwWq2IRCK8JisrK/clEKQ1+clPfoLFxUX09fXhnXfegcvlQl5eHmKxGLRaLUwmE9xuNyNh9wPBIF/++q//GktLSxgfH8cHH3yAd955BxqNhtEdnU4Hj8fDL/39QJJNJhMA4Ic//CGA+OV4+fJlfPDBB4hGo5DJZFhZWYFSqYTX64VYLAaw8ah2RkYG9Ho9AOAb3/gGtFotDAYD2tvb0dLSArfbDYPBAL/fD7FYDK/XC5VKxcnmRvpCyVRjYyOsVisqKiogFArh9/sxPj4OqVQKv98PmUyGxcVFqFQqLtGSHxvlD623VqtFeXk5tmzZgp07d8JoNPKlPTc3h+zsbIyMjPA7E4vFOMjZqASCAmQgfjE0NDTg+eef5/d5bm4Ow8PDfJEuLCxgZmYGoVCIL46NelaJgYZAIEBeXh7+4i/+Art374ZcLsfMzAwmJiZgt9u5IjE8PMzVEPp97keip1AocPz4cTz77LPIzMyESqVCIBDA0NAQNm/ejKamJjQ3N3O1iH6fVNclsSR/t4lEIlRXV+M73/kOKioqYDaboVAo0N/fD4VCgY6ODly4cAGxWAyzs7MA7rwvyfqT6Me9AmT1/8femwXHWV7p40/v+yq11N3a912WvMj7CgYcsA0YMiSTAEW2yUyFTM1cJJnKTSoXqcpk5ldkqkIlqSFADFQgrAYbr3hBXmQtlmTtW7fWllrd6m71qm6p/xc959AyDqhbzs2/OFWUwMito/d7v/c95znPeY5Gg4aGBjQ1NWH//v0oLCzExMQE5HI52tra0NPTA7lcjqGhIQCJs+jvlYyLRCKYzWaUlJRgy5YtOHLkCIMDQ0NDcDgcsFgsaG5uBgB4vd7PUb3upanVauTm5qK+vh5Hjx5FY2MjNBoNgsEgfD4fWlpacOXKFQCAy+WC3+//uyGURL+h5/X000+jqqoKer0ey8vLDLABwNLSEtxu998VuV1ZWYFEIoFKpcL999+Po0ePoqCgACKRCKOjoxgcHAQAXLlyBXNzc39XX5Lfs9zcXGzduhWNjY0oKSnB/Pw8RkdHAQDXrl2Dy+X6u6PI8Xgc+fn5KCwsRGZmJrKzsyESieB0OgEA3d3d8Hq9ae/bdQfIdDg/88wzAIDGxkbk5eXB5XLBYDAgGAyipaUFhYWF2LJlC2pra9Hd3Y3h4WF0d3d/Dg5fz+UhEAhgMpnwne98BwBQXl4Os9kMp9MJuVyOqakpuFwuWCwWVFVVYdOmTejq6sLo6Chn8Mm2ngNbr9fjG9/4BgCgqKgI2dnZmJubw9LSEgYGBjAwMACr1YqcnBxs3LgR3d3dmJmZwdDQ0OcO5/WuiUajwbFjxwAAhYWFyMnJQTgchtPphM1mw/Xr12GxWKBQKLBjxw4MDQ0hFAoxwpP8fNZzWAsEAn7JAcBqtcJsNmNlZQXj4+Nwu90IBAIcsFdUVGBychIAmK6TXMJZ78Uhk8lQW1sLADCZTNBoNJibm8Pt27cxOTmJhYUFFBQUIBwOw2Kx8D4ivnTyz1+vLxKJBLm5uQDAKMrS0hK6u7sxOjqKmZkZlJWVwe/3Q6PRYGVlBWq1Gn6//3NlvvX4IhKJoNPpACTWZMuWLcjMzMTNmzcxOjqKS5cuwWKxwOv1QqvVIhaLwWg08oWVzEVe7+FIKBcAGI1G7NixA7t27eLfr6+vD7FYDIFAAJmZmYjH45DL5fD5fKvoXfF4fN1UlGQOq1QqhcViwdGjR1FVVYXs7GxMTU0hFApBLBYjPz8fAoGAg2OPx8NBqVgsZtrFenwho+d19OhRPPjgg8jPz0c8HmcKg1wuh1AohEQiQSQSgdvtZl+IFrKeoCfZF0K5Nm/ejO9+97uoqKiAXq9HMBiE2+1GdnY2MjIy4PV6EQgE0NPTs8qXSCSyrj1zpy8ikQhFRUX40Y9+hJqaGpSXl0MkEsHj8aCoqAh6vZ5peERDARKIbjAYTJvfn+wHJXgajQa7d+/Gzp07cfToURQVFWFxcZGrexKJBGazGSKRiEEb+px0kFu6SwlhI4vH45BIJLBYLGhsbMRjjz2GBx54AFqtFn6/H2KxGCsrKzAYDFheXsbIyAgAMDqYTl/R3RKH5D9TKBSoq6vD/v378Y//+I/Iz8/H8vIylEollpaWoFarUVpayolDRkYG5ufnGd1O15dkS6446HQ6qNVqPPjgg/je974HtVoNq9XKlcyysjK4XC4AQG9vL0ZGRvi/0/GF/j3ZDzJ6fllZWfjWt76FjRs3YtOmTVAqlVhcXERDQwMDGlNTU+ju7obD4ViXL19mQqEQFRUV+O53v4u9e/ciIyMDS0tLiMViKCwsBJBAbkdGRjjp/Hv4ASSAkyNHjmDTpk2oqqpCLBaDTCbjuEGr1TJQkY6tK0AmPuA3vvENPP300wASL5LD4cDk5CRWVlag1WqhVCo5+Jibm0MwGGQ+2L0KBCUSCTIyMvCtb30Lzz77LIBEdufz+TAwMIBQKISMjAyoVCqYzWYEAgE4nU7EYjEuKa/XBwCceR47dgw/+MEP+DMjkQj6+/sRDAah1WqhUCgYPXa73ZBIJFwavVe8ZGpQfOihh/DP//zP/GehUAidnZ3wer1QKBTQaDQoLi5mFJ0CJApC7wUqSGWr3bt34/nnnweQeGbhcBiDg4Pw+Xxcmi0oKGBuVUZGBvN/7xUSSCW9yspKXpesrCzEYjHY7XYun6lUKlitVi4HC4VCxGIxRt7uVVOCUChEdnY2vvnNbwIAtm/fDoVCgatXrzIHWqVSISsrCwaDAbOzs9BqtQCA+fn5VYgBHf7p+EKX9b59+wAA3/72t5Gfn4/e3l7MzMzA6XTyZWE2m+Hz+WA2mxGPxzE3N/e5oHS9CKVIJGKE/+mnn8ajjz6KaDSK/v5+2Gw2+P1+mEwmFBQUIBQKoaCgAMFgEBMTE6sa9VZWViASidYdsFOwU15ejueeew7btm2DTCbD6OgoBgYGmEMvFotRVlYGg8EAt9uNvr4+DnZisdiq5rV0LJk/azKZ8Mgjj+Af/uEfkJmZienpabhcLoyNjSEWiyEWiyE/P5/5/jdv3uTAgqoR6wmQqUkSSFxGlZWVeO6551BdXc30tunpaQSDQczNzUGn06GkpAQajQYCgYADroWFBeYxpuMD8NlzBhJnGK3N9u3bYTQaIRKJMDs7C4/Hg8nJSWRlZUGn02Hv3r3wer28LjabjQP2dP2g5039J0VFRTh69Cj27NmDwsJCRCIR+Hw+DA4OQqfTQa/XY9u2bZxMAEB7ezui0WhaAfLdfCE+r0ajQWNjIx5//HEcOnQIKpUKkUgEs7OznPgXFRUhGo0y1czpdCIQCKQVICefCckletrH2dnZ2Lt3L5599lnk5eVBJBLB5/Mxb16r1SInJwe7d+8GAIyPj8PlcqUVIN/Nl+SvcrkcNTU1OHz4MI4cOQKr1Qogca97vV6oVCoYjUZs3rwZADAwMJB2gHy3M/rOoFmn06GoqAg/+MEPsH//fhiNRkgkEjgcDmi1WohEItTX1wMAxsbG0NnZmVaAvJb7QiaTQaFQoLKyEs888wyOHj0KjUYDn88HnU6HWCzGVVA691INkNfiB9ELNRoNtmzZgqeeegp5eXlM643H4ww2hcNh2Gw2zMzMpHUnfqWD/JV9ZV/ZV/aVfWVf2Vf2lX1lSZY2giwUCpGfn4+f/exn2LNnD7KysgAAbW1taG1txejoKIRCIaLRKCYmJjA/P49QKASFQoFwOAyxWMySRMllcyD1EjFxoJ9//nkcPHiQ0bWuri40Nzfj1q1b3BQ4OzsLn8+3yhe5XA6pVMqcr/X4YjKZ8NRTT+HIkSPQaDQAgOnpaVy/fh2XLl3ijk+/34++vj72g77KZLJVZc90/QAS6MXevXvxzDPPQK/XA0jwtzo6OvDBBx9AIBBArVYjFAphcHBwlS9qtfpzvpA/6SBOYrEYVVVV+OEPfwiLxQIgkWWOjo7ivffew8rKCvR6PUKhEMbHx/m5xONxGAwGqFQqbr5KtnR8ISrOs88+y40yhHCdOXMGQKKkT38WiUS4q1qhUGBhYQF+v5/Lw2TpoF9UYjx06BAeeughAGBE5/Lly4hGo1Cr1RCJRJiensbKygp0Oh0jU7FYDC6Xi1Fvqj6kw0MTiUSoqKjA448/DgDIycmBVCrFjRs3YLfbEQ6HodFoMD8/j+XlZeaXSqVSxONx2Gw2Ri+oozndRk9SHiCk5r777kN+fj66u7sxOzuL3t5eTE9Pc6WKkB6j0YidO3eira0N/f39AMDcyXQR5GRVBgB44okn8Pjjj0MqlcLhcODs2bPo7e1lvmhRURFUKhUMBgP27dsHsVjMKKDf7+cGwnRRflIcAIDq6mo899xzqKqqQjweR3NzM3p7ezE1NQWpVIri4mJoNBqoVCrs2LED8XickTeHw7Eubj/5QpUvg8GAQ4cOYc+ePdBqtejp6YHdbsfNmzcRCARgNpuhUChgMBhQUlKCUCjE+/b27dtMOVgPtY1QfpFIhPLychw4cAAWiwXBYBC9vb24fv067HY7DAYDBAIBcnNzsWHDBmzbto15i6RgcyevPhUjJJvek4cffhj79u2DXq+H0+lET08P2trasLS0hEgkgvz8fGzfvh0bN27kd3dychJer3ddfgCfUTVWVlagUqnQ2NiI7373u2hsbIRSqcTCwgJu3brFZ69IJMLevXuRk5ODXbt2AQBGR0cxOzu76rPWYysrKxCLxTCbzXjmmWfw6KOPIisrC9FoFOPj4/D7/bDb7fD5fGhoaGDaGQBs2bIFQ0NDjEKv1xdCk+VyOZqamvDcc89hx44dyMzMRCQSQSgUwuTkJDo7O1FfXw+LxcJV1sbGRnR0dHBjY7rVmDufrUgkQlZWFp577jk88sgjKCkpgUAggNfrxfT0ND7++GNs2bIFNTU1XE0qLi6GxWLhd+Be9TPRHfW1r30Nu3fvxr59+yCVSjE3Nwen04nr16+juroamZmZfBbk5+ejpKQEV65cYfGBe8GlF4vF2LhxIwoKCnD48GGoVCo4HA7I5XKMjo5iaWlplShBYWEhamtrcenSpbtKpn7pz0vX0ZWVFYTDYWRlZaGoqGgVX6q7uxtjY2NYWlqCWCzmTns6dCKRCHfQ3ovuZer8VdhA3hgAACAASURBVCqVKCsrYzWAcDiMmzdvYmRkBEtLS5BKpXxRJX+Nx+Os/bjehxgIBBCLxVBfX88PaWVlBS0tLfwAZTIZ/9w7v9Ka3IvNFIvFIJFIVvGU5ubmcPXqVe4kp+Yz8j35q1wuX+XLep+TTqfj5gsgEaxfuXIF3d3dCAaDLA1IPsTjcYRCIaysrEChUHDJmHy5W1POWk2tVmPPnj1cipmYmEB3dzdaWlrg9XqRl5e3ipNIz4i4ccmawOulfshkMuzbtw9VVVUAEg0x/f39aG5uxuzsLHJycnh/LC8vQygUwu/3M30pGAyyr3QQpRNoCIVCNDY28qWoVqsxPj6OCxcuYGBgAPn5+fB4PExJEggECAaD0Ov1UKvVzC8FEuX7aDS6roAnKysL3/ve9wAAFRUVEAgEGB4exuXLl7G0tASbzcY8ZUoKcnJyoNFokJOTw8H6wsICIpHIunyRyWR48MEHAQDHjh1Dbm4uJiYm0Nraiv7+fuZDE9dXLpejoqICeXl5KCwshN2ekH+emppaJfOYqtG+LyoqApCgwTQ0NEAgEGBiYgK3bt1CW1sb5ubmoFKp4Ha7YTQaUVlZiYqKCpSWlrIvfr8fS0tLrMySji/AZ42uDzzwAJ544glkZmZiaWkJIyMj+PTTT7mhyWQyISsrC/X19dDr9aisrITNZgOQeP+CweC6qDB0jgOJC/r+++9HU1MT1Go1ZmZm0N3djYsXL8LtdkMqlUKv10OhUECr1UKj0bCUYUtLCzweDzcqp+MH3YcajQbV1dV4/PHHkZ+fD5/PB5vNhrNnz7Iag0qlgkKhYD45PducnByMjY2xBvl6jVQZvv3tb2P37t1QKBSIRqPo6+vDpUuXMDo6ing8jpKSEgQCAeh0Oi6ZFxYWsm70vdBeJwWhQ4cO4Zvf/CasViuUSiVmZmbQ2tqK69evIxQKwWAwQKPRoKqqigO/vLw8luW8F8oaQOLsKy4uxne+8x00NTUhPz8fkUgEU1NTOH/+PGZmZhAOh6FUKhmgAMBJH/WD3IsmXKJWHD16FI888ggaGxshEAgwOzuLM2fOwOFwYHZ2FnNzc8jLy+NnlJ2dDa1WC4PBcE9VPmQyGTZv3oynn34au3btgkQiwdzcHJqbmxGJRDA4OAiBQICqqioGKjIyMqDT6WA2mzE/P39PmvVEIhFycnLw9a9/HQ8//DAMBgM/n7m5Odjtdni9XlgsFhQXFwNIxBw6nQ6FhYWYmZlZBYKuxdbFQZ6fn+cLil7g4eFh5lApFAqoVCqWIRKLxVCr1RCLxbzRkjOL9WTJXq8Xbrebm2CAhEQXXZJKpZLlxZK/Unak0+lWBYPpBj2hUAgOhwMSiYQRxsHBQZZyU6vVUCqV/HPv/HqnH+tJIJaXlzkpoYNkeHgYIyMjzOG525rQV71ev6oZbT2+iEQiRvbJl5GREdy8eZM5tnc+F8pG5XI5dDrdKrRgPRmpRCJBUVERNxcAicDl8uXLCAaDUCgUfAAqlcpVyRzxpJOR9FAolPYBIJFIUFxcjLq6Ol5bp9OJ8+fPw+fzQS6Xr9ovyT9neXkZGo2Gkzsg8R6kI4knEolgsViwf/9+DjLm5ubw8ccf896l7yPpvVAoxJeCwWBAQUEBX55TU1Npr4lQKIRer8e+fftQXV0NIIECj42N4eLFi3C5XNxcBSTODafTiVAohKWlJRQVFaGkpIT3WU9PD6OD6fiiUChQXFyMBx54AEDi8I9EImhra0N3dzc8Hg8PVojFYpicnORzSCwWo6ioiH0hFYl0EVvqZqfKR11dHcRiMYaGhtDa2gq73c7NroFAgC912te5ubnYvn07gES/CPGm0/GF3ouysjIAwNatW7mpdWZmBjdv3kRXVxdfkH6/Hx6Phxu7rVYrNm7cCCAhl+VyudJ+p2lPUqWsoqICjz32GDIyMhAOh3HlyhWcO3cOY2NjfCb6/X4MDg5ifHwchYWF/HtUV1djenqam+VSXZdkKcucnBz86Ec/4gbB9vZ2nD59Gi0tLQgEAggGg9BoNLDZbLDZbCgrK0N2djaAxLPt7OyE0+lcV9BFCKPRaMS//Mu/4MEHH+Sf2d/fjzfffBM2mw2zs7OsGJSbm8u8dVrPzMxMjI+Pr7vZFUicq0ePHsW//uu/ori4GB6PBx6PB2fOnMH58+e5+pORkYF4PA6j0cjBl9VqRXZ2Njo7O9fdF0PrU1ZWhv/4j//AAw88wI2/g4ODOH/+PD755BOEQiHeW1lZWSgpKQGQ4N2bTKZVGsDrMdJW/9a3voUf/OAH3Kjodrtx/vx5vP322wiFQsjMzER3dzf0ej1qamoAJO4SvV7PQeC9ED2QSCTYt28ffvazn8FsNgNIAA5dXV24ePEiPB4PJBIJD/5Rq9UAwGdDOBy+J3Kx1Bj4y1/+EnV1dcjMzITH48H4+Dj6+vpYDWdkZAQ1NTUMwmm1Wpa1pe9JxdbdpOd2uxGJRLhL8LXXXsPk5CRf2FRaq66u5pJ1NBqF3+/noQwUXM/Pz2NxcTEteTHSCoxGozw84He/+x1sNht//uLiIqxWKyoqKtgXKr2WlJTAaDTyw5ybm2Px+FR8EQqFyMzMhEAg4CzuN7/5DXdsLy8vw+fzwWq1oqysDEtLS5xoCIVC1NbWwul0cqAxPT0Nn8+XVue7QCCA1WplQXEA+MMf/oDW1lYEAgFuFDGbzZxxhcNhRjPy8vIwOzvLG2t8fBw+ny9tuR+TycSbFQDefvttDA8PIxqNwufzYXFxEVlZWTCbzTCZTFx9iMfjKCsrg9vtZl+Ghob4v9MJxAwGw6qA88KFC1xpWFhYgMfjgdFohEwm48PZ7/cjEomwCgg9o46ODjgcjrR0S+PxODQaDQ9uARLNOQMDAzyoxO12Q6vVcjNPcXExU1/Ky8shEAh4TS9duoSRkZGUaRbUMFNaWsqHXG9vL2ZnZ1lKjVQ85HI5DAYDcnNzYbFYuOylUCiwbds2AMAHH3zAyjCpHpCUKG/YsIHlI30+H/x+PyYnJ9He3s4NWUR9yMzMRFZWFtRqNbZu3Qqj0cjB1xtvvIHr169/TmVjrb4sLy+juLgYmzZtAgBWERkcHMSZM2ewsLDASa1areZnpVarUV5eDqvVyuVh0uWMRCJp+2I0GrF//34AiQBMJBLB4XDgzTffRE9PD7/bSqWSqVJA4mInzVIgUcIfGxtjJDmVc46SVYVCgaamJgAJDXyFQgGn04m//OUvjHZRkE7BVjgchkwmg06nQ11dHYAExeL27dvweDxpKY6srKxAKpWyKs3DDz+MnJwcrKysoLW1FWfOnEFbWxsWFxchl8uhUqm4AhKNRjlpBhKB6bVr1yCRSHgvrtUfQo8pmDtw4ACXwefn59Ha2orz58/D4XAwTUosFnNTmlAoZCqPxWJh7VvyIZ07gOgATU1NeOihh6DT6RAOh2G32/Hmm2/i2rVrvLdWVlbgdDoZQadAP7nRj0CTdAJC2ovl5eXcBAwk7uZz587h1VdfxdzcHMLhMJaXlxEMBpGbm8tDVQCwSg2d38kDrlIx+p2ysrLw/e9/HwcPHoROp4PH48GNGzfw0ksvYXR0lO8ZqtjRREggEbM4nU6uKqZL5aLPU6vVePLJJ/Fv//ZvyMrKQjAYRE9PD44fP45bt27xeUzJ5MGDB/k5kLQj0STTrUSTL1KpFNu3b8d///d/Iy8vj6tCf/nLX1gi1+VyQSaTITs7GwcOHODffXJykqUUSeEoXfqJSCRCSUkJXn75ZdTU1GBlZQVTU1M4fvw4x1WkWiGXy7Fz505+X+12O3p7e6FQKNKqfqQUIN/ZYUnoMMmFAVh1GZKkjNlsRlFREUwmEz755BMsLi5iaGgIBQUFePbZZ/ki6+rqwq9//WsMDw+ntMlIXuhOSQ9SqCBah0wmg9VqRWlpKUwmEy5cuIBQKASbzYbGxkbs2LEDDQ0NAIBbt27hv/7rvzAwMLDmQIPUEXQ6HRwOB+bm5gAkXn66qKhEbbFYGMVsbm5mfnRdXR2qq6u53Nfe3o7/+Z//we3bt1N6uLTJlUolpqameKz0wsICsrOzIZfLMTExAbFYDJPJhJycHGRnZ6O3txdCoRButxubNm1Cfn4+X2Lt7e148cUXcevWrZQQdlKgoJ9J6+l2u1FYWAi5XI7BwUG+HEwmE/Ly8uBwOCAWi+F2u7FlyxZkZWUxotja2oqXXnoJ7e3tKSPby8vLkMlkmJiYYLR0ZmYGBQUFABKXNZBAsiUSCQoLC6FWq2GxWDA9Pc0BWEVFBQDgxo0beOWVVxgNT8UX4l47HA4+QKanp3mftra28kFHgYVCoUBOTg4/I1IGAICNGzfilVdewbVr11I+IM1mM6N8AFgloqSkhPnPpEyhUqkYrQ0Gg6isrIRareY1NJlMOH78OK5evZoWupKRkQGlUskJEckO6nQ61rWkPgaRSAS32820GIvFsgpxikajCIfDaG5uTrnyEI/HoVKpkJOTs4q6RQHN5OQk0zcoSad3jdZLKpVyoL9nzx7MzMzA6/WmdWnQZ5GckkAgwMLCAux2Ozo7O+FyuVYFU2KxGH6/H4FAgN99KslWV1evQnhT9YXQLnoPDAYDQqEQhoeHcerUKdhsNk7kiG7j8Xjg9XqxdetWLn8CibK5xWLBzMxMWpQP4qxTgkbnp81mw+uvv44bN25wdSUQCLB6kMfjwcaNG1f5Qoox4+PjrFyzViPqACH8NLjF6XTi9OnTOHnyJObm5uDxeODz+WA0GrlkXlNTA4vFwpW2WCwGvV7P4Ek6gZdIJGLq1uHDh2G1WvnOe+edd9Dd3Y2pqSlGaRcWFvh9WVhY4HfF4/FwRS9dZFIoFPJ7cPToUWzevJl5tZcvX8YHH3yAW7dusRpCIBCAVCqF0WhEIBDg+3RiYmLVfk0XuaV1PnToEB5//HFOfPv6+vD666/j1KlTiMVi0Gq1nOSZzWaEw2EOyHp6euDxeFg1J90gkNZ2x44deP7552EymSAUCmG32/Hyyy/jtdde4/2QrOwRjUZZiu/WrVuYmZnh/Z0uLYcSkaqqKvzyl79EXl4epFIpbDYbXnnlFbz88suIRqPM0c7OzmaAraenBwCYZuvxeHiqaKpGlQ+r1Ypf/epXTLMZHR3FCy+8gFdeeYU5/ktLSxwfqFQqdHd3A0iojPT398PpdN61h+lLfUjlm5PlrcRiMR599FEcOHAAOp0Ovb29AMCZi1gsxvLyMgKBAGw2G2QyGcbGxjAzMwOxWIxIJIKuri4UFhZCpVIBSCAze/fuRSgU+tISbbKElEgkwoEDB3D48GEYDAZMTEwAACMRGo2GS8LT09Po7e3F2NgY7HY7N+ddu3aNUUXyZffu3QgGgxgfH/+bviQfFiKRCBs2bMBTTz3FkksAuNRJlIVwOAyXy4WZmRkWiFepVIhGozh//jyAz4Y1aDQabNu2DYuLixgdHf3CNUn2RSgUorS0lMuMRDUhRFIsFkMulyMSiWBxcRHLy8sYGBhAd3c3IwynTp3C7t272RetVoumpiaWJ1rrgS0QCGCxWLBv3z4YDAYWE6e9EQ6HIRKJeAwtNfFNT09DLpfD5XLh5MmT2LZtGz8f4jN7PB709/ev2RdKYGhSEx26y8vLGBsbg9vt5kpELBZDQUEB8vLyViUYH3/8MZqamnhd9Ho9amtrMTc3h4GBgZTWRalUMieTEiCVSoXh4eFViV4sFoPJZEJtbS0sFguEQiFGRkbYF3qHjEYjqqqqMD4+zrqha/FDJpOhsrKSDxsgsff6+vpgt9v58I9GozAYDCgvL0dOTg6/b2fOnMGOHTv40snMzER5eTlGRkb4ea/VF4lEgtLSUhQVFfGFo1AomOtLKA0Fr1lZWdyIRpy0++67jwOezMxMlJSUoK+vL2WZKrFYDIvFgsrKSkac5HI5enp60NXVxbSK5CSdJBuJhkGjqIFE4J+bmwuVSpWyL0KhkNeeSohyuRw2m40DQArWk2Ujye/h4WFUVlZyUmg0GpGVlbWqN2OtRg2+yYi0TqfDwsIC2traMDExwQNbiLsajUZZk3lmZgZbt27laoVer4fBYIBIJEo5yCA6Vm5uLiorKwEk0NdQKITbt2/j2rVrXC2kvU5Jm1qths/ng1ar5RI6cZIFgtQnrEokEmRlZbE8Wk1NDYRCIaampvDhhx+ir6+PAxjyI7nqmJmZye8QcVvj8XhaDVc07fG+++4DkJCPVCqVcDgc+OCDD3Du3DnmZZIvpMeu0WhgNpv5HaIG8nR9IXoh8fiPHDkCg8EAn8+Hixcv4o033kBbWxvC4TA370skEuTl5cFkMsFqta5qvqd9ko4v9H7s3LkTAPDss89ysNnV1YU//elPOHnyJEKhEN9LVFHNz8+H1Wrl87ajo2PV2ZhuQycldM8//zz3W4yNjeHPf/4z3nrrLebnk085OTkoKSlhWTwgAdQQALAeehuBUD/96U/R1NQEsViMyclJvPrqq/jzn/+MQCDAUnykqV1VVYXCwkK+Oz799FPuPUvHF4pfAODHP/4xHn74YUilUkxOTuL//b//h1dffZUbjN1uN2QyGUwmE+rq6lBYWMj39aVLl7jCl44fKVMsaGNmZ2ejrKwMsViMeWUAeHiA1WqF0+nkh7e0tITZ2Vl+wFTeStZpzMnJwUMPPQShUIgrV65geHj4C3kjpCdqMplQXFyMSCQCl8vFGVBWVhaEQiHq6urQ19cHr9cLiUTChHe63IRCIV8uZFarFQcOHEA8HseFCxcYDbnTiHNGagukyTo3N8d+kCpBfX09xsfHYbPZoNVqIRQKMTMzg1gsxg90aWmJkwwgMa1mz549zHGcmpr6wiyIfKGyvcfjwezs7Coh8nA4jMLCQp5xb7VaodFoMDY2BqFQiIWFBeYMJk8sslqt2LZtG6MLdOl8mSmVSqhUKszMzGB6epo/j9BKo9HIiUN9fT2KioowNjYGpVIJt9uNxcVF+Hy+VRNxzGYzNm3aBL/fj+npaXg8njUhCYQ4Dg0NYWpqiv+Oy+WC0+lk9YFoNIrGxkZs3LgRUqkUCoWCy21EbSBfsrOzUVdXx40CtK+/zMRiMYRCIfr6+jA5OcnIHumIy+Vynt5UW1vLk+00Gg06OjowPT0Np9OJ4uJi3hNZWVkoLy/HwMAAxsbG1oT0E0I1Pj6OmZkZPvzHx8fR39/PHPBoNIqSkhJs3LgRGRkZUKvVGB0dZepNaWkpI8gZGRk8IMdms625TE09DX6/H4uLixxEzs/Po729HTKZDBqNBuFwGJmZmaipqYFUKl21vyQSCerq6hhBJjqIXq/n5HktRr6IRKJVPQUOhwNtbW0AEucdaZvn5eVxiZ3GXpNma0ZGBoBECTW52zsVXyQSCZRKJTIzM3nvuVwutLe3w+PxQKPRIB5PDEsh6hoBFUTt8Pl8HAjScyWkZq1GAYZGo0FeXh4nraFQiPcdVTpoKhk1lxISurS0xOsGgBP25CEba/WF+gKKi4s5WBcKhaw8EA6HIZVK+Z2kyiL9PIVCwXcB/f9Ue1DID4PBgLq6OuaFGgwGeL1epk3ReyoQCFgdh3pBTCYTgM8QUeIop1ohI18yMjLQ2NjIFJjs7GyEw2F0dnbio48+wtTUFFMZKNkkapDVal2l172wsMBVj1R9EYlE0Ov1qK6uxt69ewEkmv4Irf3tb3+Ljo4O/l1XVlaYkiMSiWAymVYlTvPz84x0p0PFVKvVyMnJ4YFVRFObnJzEz3/+c3z66afcJ0BUEjoTs7OzV1U4Zmdn0/ZFKBRCqVSuokw1NDRALBbD5XLhJz/5CU6dOsXoNAWb1Dyfm5u7qqnV4XBgYWEhLYoS8eYNBgPrTW/fvp2ntv77v/873n//fd6/9A4TZz0vL4+/l9YlHboUJbt6vZ4TmAceeIAVtX784x/j/fffX9W3trS0BIlEgqWlJZSWlnKyBySoshTbpZO8pHQyUgYuEAgQCARw5coVlJWVIScnhxdm27ZtaG5uxuLiInPhiIJBZRHK4gk1Gx8fB5AImGQyGeRyOdRqNUt73c2oUx9INH11dXWho6MDxcXFfJHt3r0bV65c4ZGri4uLcLvdfFBRB7dUKuVGFkLdKFhSqVTcWHe3ADnZj3A4jImJCfT29qKsrIz/fNeuXWhvb8fCwgJPaGttbeUyADU60bATr9eLrq4uAIlyEmXQarWas+u7WTL9JRqNwuv1YmxsDAqFgi/kXbt24caNG3zhh0IhtLe3o6+vDzKZDLOzs/yMqORG40Z1Oh3y8/NRXFwMlUq1JrSHmtlisRjcbjccDgd3ve/atYs38tLSEqLRKAYHBzEzMwO1Wo3Ozk7mpBuNRrjdbh43SiX0oqIivui+LCglqgcd/LOzs0xNOHDgAO9Z8ikcDqOjowM5OTmMipEqwMTEBM6dOwcgkTgYjUaUlZVxUrQWSx4h6nK5eGTx1q1bMTQ0tErujuhDWq0W165d49J4RkYGxsbG+DMrKipgsVhQU1ODy5cvr8mPeDzOTRUOh4NLsiUlJWhoaOAAjFC2QCAAlUqF/v5+DAwMwOVyMaeRgq+SkhKUlpaivLycaSJrXRNKqkdGRhhZ0Wq1KCgoQH9/P2QyGQeKRCOYmprC9PQ0vF4vT1KiZqeMjAxYLBaYzWamz6x1XUhia2xsjBNoiUQCmUyGxcVF5ojS7y2RSOD1enkSm8Ph4BIskAiQiaecCpUgWZnE4XCsqp4RxYQ+n951ap4mjubc3BzTwAAwyk2cylR5tvQ+JfNUSaWBLi0Kvgl5JB5gKBSCVqvl/7+8vAyXy3XXAVJf5gtxZYuLi5nTKhKJMDk5yao05DOdE8RZlkgk/PzofB8fH4fdbmcgZy2+0OerVCrU1tZyyVkkEsFms+H06dOYnZ3lQIrWLxqNQqvVQqvVcuc/gSW3b99mudRUjJROSNqPKDA0mvitt97C6OgoIpEIA1R0Tut0OlgsFuTn50OtVnOF7caNG6vOmVR90Wq1eOihh5h6IhQKGSHt7e1ltaJkwCknJwdNTU3YvHkzV6AB4OLFi0zpTNWoCnPs2DEOSgkc+NOf/oSOjo7PBVNCoRBFRUU4cuQI9uzZA5/Ph9bWVgCJ3pWpqam0fKFBSI899hi+9rWvAUjcUTMzM3jrrbfQ3Ny8KsCkxKesrAzPPfcc9u/fj6GhIa46X7lyBbOzs2n7kpWVhcceewwPP/ww/zxqGL9y5crnziqJRIKKigr85Cc/wY4dO9Dc3Iw333wTAPi9S5X+Quj4Y489xpUPQolbW1uZL59sUqkUFRUV+MUvfoGtW7fi5MmT+N///V8ACYSfBo2lYykjyIQELS4uYmxsDB0dHdx0BiQuxpMnT7JMF2WnyYtLKCbRKOjycDqdyMzMhMFg4FGcXzQthxYqEAhgamoKAwMDPJUMAM+1p1IflUGIDweA0ZWpqSlEIhFGrKgERiXrpaUlTgL+lh+hUAgulwvT09PMEQISaKfD4YDL5WJOHulfSqVSPiipcYd8os/Oysri8kEsFmPO0RetSyQSQSAQYE42NQkRmj4+Ps5ZMhHtie/m9/uxvLzMo1/pwI5GozCbzZDJZMjJyYHf7+eGyC/yhbJN2jOkmb19+3YsLy9jaGiIEeD+/n5oNBpYLBb+2bFYjBOa5M5yKoOSZjE1In6RL5SJh8NhjI2NcRlny5YtEIlEaG1tZfWBvr4+LhvPzc1henqa1yQYDDIFQqFQMOKk0WgQiUTW1DFLezIQCGB0dJT579XV1fj617+OM2fO8ARI0gR1uVyYnJzEzMwMIpEITyOkdSEJQZFIBJVKteaJYNQ8OjQ0xChPUVERnnzySQ5e9Ho9pqensbi4yF+p6TZ5wiCQSKacTidzz+n3/bKGPQq6/H4/Ojs78cgjjwAACgoKcOjQIdhsNtjtdtZvpfIw+U8IKmloA4mgkfazXC5fJdG3lmcUCAQwMDDAn0cldNIcpgYsGjVN6CDpvBKNAQDzqqmUTCXcLzMKGoiWROus1+tRVlYGtVrNe46SKgIiCOmprKxESUkJ+yKRSFiXWSwWr7mxk54RneG0LoSGkZ+UaCsUCsTjcSgUilVBZDKwQhWD5eXlVQ3Xa12XlZUVBIPBVco3dE9Rkk1lfkKN5XI5LBYLNm3aBJPJxAGY3W5HIBBYFTyupTxLwSAApo4QGjg5OcnN1vRcKLDPyMhAQ0MDNm7cCJVKhcHBQQCJRuS7BbFrMaK2KJVKTt6AxLS1np4ePlfJR0L8LRYLdu/ejaqqKgiFQuaU9vf3c6M4BbFrDX7i8TiUSiUsFguf/fF4HH19fbh58ybfN8m+KJVKbN26FU8++STy8/MxNTWFixcv8u9ASHNyZXStvmRkZKCuro6TqaWlJXR0dODs2bMcKySrtGg0Gjz11FN48sknoVKp0NXVhQ8//BBAArVNbp5MNbnLzMzEtm3bOImJRCK4fv06jh8/zu9Gsi96vR4//vGPmapy/fp11u73+Xwp7ZE7jaYVUqNrIBDA1atX8dvf/pYpWMm+GAwG/PznP8eBAwcQiURw8uRJXLt2DQA4KE3Hl6KiIhw4cIDBkfn5eTQ3N+P3v/89f+6da/KrX/0Ke/bsQTgcxnvvvcfgI71v6VJO0laxiMVimJiYwMmTJ1FVVcV6siqVitGV5GzwbpsmFouxXjKQCAzy8vKQm5uL8vJyOBwOlnv5IlteXsbMzAxOnDiB0dFR3vhSqRRqtZo5M1/UfRuLxTA+Ps7BRE1NDUwmEywWC+rq6uByub7Ul+XlZTgcDrz99tuora1l2SCFQoHMzEz4fD7uSKbSFn1N9mN6eprXq7y8HHq9HhaLBbm5uVhcXMTw8PCa1mR2dhZvv/02ysrKeNObzWbm1IrFYng8HszPzyMeTwwQSB4XTEMo6FArKCiAyWRCPB7HE088gePHj69JPisWi8HpdOLdd99FQUEBoxK1hSVVsgAAIABJREFUtbUoKSnB8vIyJwXEZfd6vUw/oYvb7/dzhzeJons8HuzevRunT5/mQP7L1sXr9eLcuXOYmppidKa2thZFRUXw+XzckEHB/crKCmw2GycvVB4mvmN5eTl3dxcXF991iMjdjC71q1evIhwOM/e6pqYGhYWFKCoqwuzsLJeNiXNFNBVCBiUSCfPGioqKsLCwwEoTa5G3IaWJ3t5eSKVSHs7R0NAAk8kEo9EIg8EAk8nEF5NIJML8/DwfVMSjpESM+KRUFSJ++VrWJBqNwmazQSQSoa+vD8BnGp9EM6CSZywWg0Kh4J9Do3QLCgr4TBIIBCxqn8qFSgnM3NwcBgcH+b3Ly8vjxl8634hGQKoEwGfNXsQ5BhK8+qGhId6rqVymlDg4nU7uKSgrK2P6BO0JopGRxu/KSmK4TE5ODlQqFTdh9vT0YGhoKGX5IwogKNFI5i97PJ5VeqMymYyDb61WC7VajdLSUlRUVEClUjHl5ebNm5ienmbwIhXkiWgcVIoHPnvmRElLRoxjsRiX2evr61FRUQGZTMaoJFX7UpHKSqZ6kKQbkDhvbDbbKj8kEgkkEgk3JW/atAl79+7lJtOWlhYAQF9fHxYXF9PSNScu8ebNm1fRHGmIDPlCQbRCoUBpaSmeeOIJ7Ny5E5mZmRgZGeEq2ejoKN8Nqfoil8uxZcsW1tAFEpSNlpYWbtqmd0iv13P/zw9/+EPk5eUxWEG+TE9PM78VSE2fX61W4/HHH8eePXu46Zb0+O12+ypfLBYLDAYDjh49im9/+9vQarUIBAJobm7mZ+RyuT4nVbtW0+l0+Kd/+iccOHCAEzuHw4ELFy5gfHycE0SZTIaSkhJkZmbi2WefxSOPPAKZTAaXy4VLly5x1ZsSjXSaFjMyMvDTn/4Uu3bt4v0yOjqKjz/+eNUADoVCgbq6Ouh0Ojz99NM4cOAA+3L9+nW+2ymxS8UXgUAAs9mMX/ziF6tkTzs7O3Hy5EkMDQ2tGgSyefNmGI1GPProo9i5cyfHM9SPAXxGl0q3kXNdMm+BQAD9/f3weDwcRG3atAlKpZIzQdIm/Vvm9Xo526aMn9BDo9G4Jn5cPJ4Y4tDf3w+v18sHHU3g8fl80Gg08Hg8nCHS30s2v9/PvhAiRUFuWVkZZ7Bf5EcoFMLIyAiCwSAHj1u3bkVGRgYWFhaQmZmJ2dlZzMzM3FW6jSS76OUgVC47OxvBYBBms3lNJTcKwqnjl57B/v37ueRMPpFObPJgByrFrqyscEOQwWDgrBdIUAvWUrogRJvKP8namjqdjnUtafBMT08PoyxkREUgGkJ+fj433GVnZyMrK2tNZTcKtufn5zE9PY2BgQEAieRMr9ejoKAAGRkZWF5eRmFhIW7dugWdToeRkRF4vV5Eo1HI5XLk5eWxukdBQQFLAclkMqjV6jVrqEajUbjdbszPz3NloKamBjqdDhUVFdDr9RCLxSgpKUFHRwcyMzNZtJ4a9zZt2sQlXalUiomJCXR2diIUCq25PLu8vMyccOrQptJmXV0dBxcLCwsYGhqC0WjkRhqi3tTX13O53el04uzZs2hra0u5AYySJaqCAGBUqaamBrFYDDKZDG63G1NTU0xLslgsKCkpQW1tLXNAgUTJ/MSJE6sS4FR8ubOSIhaLuc+ipqaGG1ZosIFYLEZBQQE2bNiArVu3Ijc3lw/soaEh3Lx5k7WTU7lQKXlIVsqgJIS4zUR7EovFyMzMhEajQWlpKTZs2ICGhgZEIhF+vtQISkNoUvEluSmJzrlYLIa5uTkOzOkMUalUkMvlMJlMaGhowNatW5GTk4O5uTlGKB0OB7xeL5eUU/UlHA5jcXGRfzepVIqpqSlGUMkXupsyMjKwZ88ePPjgg1Cr1Zienmb6DVXzkocSrcXozHW73UwbNBgMsNlszPemShP5VVJSggcffBANDQ0QCoXo7e1lP4iCQwDKWv2g3zUSiWB+fp6TkOXlZYyMjEAmk3GvEFEO6urqsGvXLuzZsweZmZkIBoM4f/48AxbJAFMqz0coFHLimnwmOp1ODA0NraJaUiB46NAhHDx4EAUFBQwIvPPOOzzgJpkmk8o+oUEsBJrR2dLb28u+mEwmbqjfuXMnjh07hqamJuh0OiwtLbG0o8vl+pwvqZhYLEZOTg5yc3NZ5hRIqDONjIxALpcjPz8foVAIeXl5OHz4MA4fPoySkhKWSr1+/To6Ojq46p1MqUrFqGejuLgYKysr/LtduXKF925+fj78fj8aGhrw0EMPYc+ePTxpNRgM4v3332faDq1LquebVCrF3r17UVBQgJWVFQ62L168iPHxcUilUmzduhUejwcHDx7Erl27uB+G/Pj973+/qrcoHT+SbV0BMk3iocMASDyk0tJS+Hw+ZGZmQiqVYnx8nAXpk0sRGo0GGzduZM4j8a8WFhbw4osvore3d82lULlcztO1KGg7evQo9u/fjzNnzsBkMqGwsBDj4+MsqZUchFLDCaGCYrGYuX5//OMfufS+Fj9oqAEdbE888QSMRiOEQiEsFgvKy8sxMzOD9vZ2VpEgLp1Wq13FaQyHwxgZGcHw8DBeeOEFnsS1FiO+st1uZ0TzgQceWCXLRNqhH330ERYXFzmLphJK8ljblZUVzMzMoKWlBS+//DLm5+fX/DJSUDE1NbUqWM/KymJpI6FQiE2bNuHDDz9k7jpxSs1mM1Qq1aqmHpfLhU8++QTvvvsu8wzXYtTYMDg4yIdLU1MTzGYz8vPzOciTSqXIysqCQJCY4OZwOHiEbU1NDQelWq0Wo6OjaG5uxpUrV1Ia1EG+3Lp1iw/s+vp6GI1G1NTUYOPGjYjFYhCLxYymOJ1OuFwuKJVK7N69m32nZzQ6Oor+/n5G4NdidND39/fjr3/9K4AE7aS8vBw7d+7krnwArBFLKHtmZib27dvHByyQ4A+TVmZyVWKtvsTj8VU8733/N6b38OHD3LxBfRBGoxHT09O8l3bt2gWtVsvn0ieffMLl6lSbaSjBcLlcjGYHg0FYrVYcO3YMdrsdy8vLmJqaQn9/Pyt7WK1WmEwmVFVVQSQScSD4xhtvwOl0piXDRGV2SgyABCpYUVGBRx55hHVTSTXHarVyJctoNCI7Oxsej4fLoB999BHv/1RLkPSMSCoNSARgmzdvxvT0NK5cuYJIJML0DqPRiPvuuw91dXVMuejv78fJkycBJPYUXa6plGWJz0tVRPq7AoEAu3fvxuzsLPNKqcHJZDLhyJEj3KE/PT2N5uZmnDhxAgBYmz1VSgMlJzQ8AUicU7t378bCwgK6u7s5uDSbzaipqcFjjz2GyspKRCIRdHR04N1338XVq1cBgPcJkJqUGa0JAK6GAYnAf9euXfD7/ejr6+Mkau/evdi8eTPKy8uh0+lgt9tx8eJFvPPOO4xO0iAI+vxUfKEKEyUGQCJ22L59OwQCAQYHByEWi1FRUYHDhw9jw4YNyMrKQigUQkdHB1555RVcv36dEzGiKaZqd6LfhNrqdDps2bKFxxZLJBI0Njbi4MGDKC0t5T//9NNP8cILLzAFB0Da6GQ8npj6mKz6BSRAp02bNjFN1Gq1YvPmzSguLuYGwenpaXz00Uf4zW9+w0159JnpBoIKhYL7b8iXyspKzM/Po6CgAMXFxaitrUV1dTV0Oh2MRiMkEglcLheOHz+OX//616tmEqTji0CQGDhFVDjyY8eOHYhEIigtLcXOnTtRX1+PwsJCRKNRHiA2OTmJ1157Db/73e9WyYqmux5k6wqQo9Eoow+UHVKnfVFREUZGRuBwOJiDJ5VKGTF+4okn0NjYiPvvv58XtbOzE6+99hqGhoZw+/btlF4C0m4EwEgl6f2SbNbY2BijLBqNBpOTk1AqlawP+cADD/CldfnyZZw8eZIvxrX6QugDAOao0hSrI0eOcGc1DXwwm83o6uqCWCzGvn37IJFIsGPHDn7A7e3tOHHiBBwOB5dV12pEB0hek08++QR6vR7bt2+Hz+fDxMQEFAoFrFYrCgsLWZN5y5YtkMvl2LZtGx+2XV1duHTpEoaHh1Oe7kToV7Ivr7/+Ok9Ms1gsq8r1ZWVlGB0dxcrKChoaGmA0GpmjCyQaWM6fP4/29vaUgmMy8oXQlT/+8Y84efIkDh06xIcTHQA6nY47zYkWsnXrVk46rly5gpMnT6KtrW1N1Ipko1J1NBpltOY///M/UVdXh2PHjvFQEkKEqIxvsVhQX1+Pqqoq5OXlcZDy0Ucf4cSJEykFx3f6QQHUb37zG+zfvx/79++HVqvlplZCj41GIwQCASoqKljnm/b8Rx99xBrBqT4boVDISMi7774LADzJrqysDHK5HH6/H3K5nHlqlHDr9Xqmd1GA3NLSwihCOr4QT5x82bJlC5qamlBWVsZjXTMyMmC1Wplna7FYoFAo4HA44Ha7mbM4NDS0iquailHAFggEcOrUKQCJy6O4uBgbNmyAVqtlneHl5WVkZGSgsLCQE7mJiQlcvXoVb7/9NoDEe7ieC4SqDjdu3ACQqB4ajUZs3rwZFouFVXDC4TAj6mazGT6fD+3t7Th58iTOnj0LAPwOp7MuxG33eDx8RlqtVuTl5fGF6nQ6mT61d+9eVqex2Wy4fPkyPvzwQ1Ymod6MVJvjyJfkxGd5eRllZWXYunUrKisr4Xa7uUnzwQcfZASxq6sLr7/+Opqbm5kLTe9vOsoexG9OBjgWFxdRWVkJh8PBlKx9+/YhJyeH9ZFdLhcuXryIP/zhD5icnOTmT9on6TwfUo6gSW/kS21tLfx+P7Zu3QqRSISvfe1r0Ov1UCqVmJiYgN1uxzvvvIMzZ85whWa9vgBg/neynB6BdEePHoVUKkVjYyNTDT7++GN0dXWhpaUFXV1daenp3ml03hIKTnJ6SqUS1dXVMBgMqK2thUqlQnFxMQ+NOnXqFC5duoSbN28yPSVdznGyLwsLC6wiQs9Io9GgsrISVquVJTyzsrIQDodZGOGNN97AW2+9xVrqqSYLyZQ3OrO9Xi9PWgbAA5eWlpbQ1NTEVVXqXXrzzTfR0dGBqakppiStNzAmW3eADHxWRqE/UyqV2LVrF4LBIHbt2gWNRoOrV69CrVZjYGCAJ5UVFxdDIBCgs7MTQGIK361bt1JCScmSgwHa2NT0sXnzZvT09KC+vh6VlZUYHx+HXC5HZ2cn3G43lpaWUF9fD6lUyojGiRMnMDU1xVy0VP0g/jWQOPy1Wi0qKytx/fp1WCwWbNu2jRUmCK1eXl7G3r17oVKp8MorrwBIJA1zc3MpB17A3VGH4eFhWCwWiEQiXL9+Hfn5+aioqOBSGzVgEQIjkUhw/PhxAAkhcofDkdao3OTKAdno6CjEYjFEIhECgQAaGxtRXV0NpVKJSCSCwsJC1mym4Pi9994DALS1tWF0dHQVZWatlnzA0r9Tmc3j8SAYDKKsrAx1dXUIBoPweDzcUKRQKFBQUAC/34/Tp08DAM6dO4eurq6UdW3JF7qMaY06OjrQ29sLh8MBuVyO6upqlJeXY2FhAU6nEwUFBTxsJiMjAzabjYO3kydPMl8wHV+SlRXOnTuH9vZ2TE1N8f61Wq08USk3N5cROXqfXn/9dQDA+fPnMTc3lzKlgfwgo9/j1VdfRXd3N77//e9jeXkZWq2WZaloyAs9T5/Ph5aWFu5kvn79elpTDskXQoko+Hr55ZcxNzfHzSlSqRTZ2dlcnqXhRKRac+rUKQ6QCRVMB3UiznkkEmFE+qWXXsKxY8dQW1sLvV7PE9CoARAAV25aW1vxxhtvMK2I0PR0LhNSpvF6vfjkk08AJCQpSalg8+bNcDqdkMlkfCeEQiHMz8+jp6cHZ8+exenTp7nJ92/R3tZiRH/p7+/H+++/DyARBBUVFbGO+9TUFMRiMU9TXVlZwdjYGM6dO4cTJ06go6Pjc+9Mqqg6yXBevXqVKT6kUX7gwAE+50kSy2AwIBgMoq2tDcePH+cJe3fu03QCoHA4jL6+PnR0dHASqdfrkZeXh4ceeghSqRSxWAwVFRXMEafJeu+//z5z0+/cp+k8n0AggJs3b2LXrl2sGkRnl8FggMFgwMrKCmsRB4NBXLx4EX/5y19w69YtbuC+82en60tXVxc2bdrE0oslJSXIzc1FYWEhV1eBRDPg2NgYq1ukO+XxbkY9P6S8Q8F6ZWUlioqKMDc3h7KyMqbsdHZ2oq+vD6dOnUJ/f/+qxsb1GtFJvV4vFhcXuYJaWVmJ4uJiuFwuFk0YGhqC3W7H2NgYTp06hY6OjrTH1dM6kBHd0OfzQaVScb9RWVkZ8vLy4Ha7YTab4XQ6cerUKfT09ODixYtM7bhX65FsqafIX9lX9pV9ZV/ZV/aVfWVf2Vf2/2NbF4JMUkbUlAEkkLjKykps3LiRETCj0Yj7778fJSUlzCtWq9UwGAyYnJxkHb/BwUE4HI6Uu6oB8LQbiUTCjXYtLS0wm82or69Hbm4uz1JvaGiA1WpFfn4+l2YpUyJ9Q6fTiYWFhZQRMJITSp5jf/XqVZSVlSE3N5eVNRYWFrhZTi6X8xjJuro6DA8P8/Qxt9u9anBIOr6IxWLm8/h8PohEInR3d/MQkL6+Pm5gqa6uRm1tLfMn29vbGa2icY3poF/J08YoayRO6PDwMKOCNpuNpzhRE1RBQQGsVivOnDnDmsyzs7MsxZTOupAv9PfJl/7+fuaFd3V1wWq1wmAwYMuWLcjOzoZGo4FIJMLJkyeZs2i32+H3+9fli0QiWeVLLBZDS0sLK72cPn0aFosFUqkUR48ehdlsRiwWg91ux4kTJ/gdcjqdrCmajh+EJgEJtCUajeK9997jwSmEXC8tLeHRRx9FPB7H3NwcyyR1dHQAwKrxq6lachWGfg9qaiVJNar4FBYWYnFxETt37sTY2BgGBgYwMTGBtrY2bnokbt16fKEyPpCgGlHz1MTEBA/LsFqtWFxchMFgwO3btzE4OIi+vj4MDg5yqTqdMiRZMh+VzsjW1lYYjUbWjJfL5bxHw+EwHA4Hbty4gZ6eHvT09GBycnJdPMFkX6hMTE09Z8+eRWZmJvR6PSPYVM72+Xy4evUqLly4gJGREdjtdiwsLKwLOSajZjOPx8P8XZFIhCNHjmDDhg2QSqXcIEcoWGdnJyOlDocj5UbSuxmVzO12O1cifT4ftmzZArPZzDr3pKTR29uLy5cv46WXXoLNZmM5uvUaNUV7vV50dnbi0qVLABIyXqSKJJPJEA6HuYm+paUFf/rTn3D58mWmxaS7T+/0habR3rhxg3sl5HI5srKyYDAYkJWVhfn5ebjdbgwNDeGvf/0rTp06xaom9woZjMfj8Pv96OnpQXt7O9/P8XhiyJdGo+HJiuPj43jxxRdx5coVzMzMYHFxMe0z5G62srICr9eL3t7eVY330WgUGRkZ3N9B1UGirJE87L14Nsm+eDwejIyMQCqV8nr7/X6mqXo8Hly4cAGnT59GV1fX58Z930s/7Hb7KqlUr9eLnJwclu196aWXcPXqVSwsLMDlct1TSsWdJkjlgwUCwee+mfhOVK7Iy8tDaWkpcnJyeFISzZ4vLCzkMnY0GsXBgwcRDofx4osvAsAqsfBkv+Lx+OfIRnfzBQBPMwLAG81kMnEJh4LeiooKhEIhBINBhEIhPPzww+jv78cLL7wA4LMx1V/my9/yg3RoAfBQDZrIVl5ezsFmXV0d8vLyEAqF4PP5sH37dpw/fx5vvPEGgNXBQrprQhcVAH4BlpeXoVAoUFlZyWvS2NjI5bhYLIbS0lK8+uqruHDhAoDPLuj1+HI3Ph0FZjTmWCgUoqamBjt37uSpQUqlEn/84x+5aeTv4QtRDEhGJh6PQ61Wo7KyEgcOHACQ6Lb3+Xy4cOECZmZmAPztBpr1rgslWrSf9Xo9SktLuXw9NDSE2dlZ2Gy2L5UNW+u+pd///74HADjxzM3NhVAohMlk4gSmq6sLY2Nj8Pl8CAQCa6ECtcXj8c1r8YXOFgCsL0xqFtT8lpOTA6VSCYFAsGp0Lv3zRZbK80n2hcbu6vV66PV61NTUcFd6OBxmXispVayFUpGqL5Tw6nQ6nlqYn5+PkpISpry5XC5cvXoVLS0tq6aUfZmlum9JV9lkMqG0tBRNTU3c7CoQCOD3+2G32/Hxxx9jeHg4JaWKVM9+OnOLioqwc+dO5k5SoGW323H79m3cvHkTQ0NDKTVtruUdoj1Kqk41NTXYsWMHGhoaEP8/laZQKASbzYa2tjbY7XYMDAyk2pi4pjUh2hxpvdM0zpKSEqaOkZTq2bNnPyfzea98IQCgsLCQqXJlZWWorKzkngFS77h16xYmJycRj8dTDr7W4gsBQfX19aivrwcA7pmKxxMa6pcuXcJ77723qo8jDRrfl/pCg0KampqYA61Wq2E2m+H1ejExMYGWlhZ0dHSsi9qxFl+kUiny8/OxYcMGluokOcTp6Wl0d3djenoak5OT61KF+LJ3SKVSoaKiAuXl5UzHIXBheHgYPT09CAaDafUdfZEff8vWHSDfaaTvGI/HIZPJVonRi0SiVUMDKGMjtDRZmoOC0//LDtZ8SCabSCTig1gikUAul/NFQaNS6XuokYEae2hdyBf6s7UGGnd8z6rPUygUnKFLpVIePUvoEik43M2PJF/SWpM7jcas3ukLAA547hzWcufUunvli0Qi4Us8eXCJSCTC4uLiXQdwrCdA/iJL3jtSqRQajYYRInp2dx7gfy9fSGM5Wcv1Th++7D1OZ9/e8f1QKpVYWVnhTmdqvEwRiVxzgPy3jC5+ki8kJDNVhCfd55P8nEkJgKTpSFM6Vf5qur4kv4uEytHAIxqwkyralK4vtCfi8YTmsU6nQzgc5vM/HQQuVV8oqaNKVTweZ448aaATH329vnyRH5TwkmKHQCD4/9h706i4zzPN+0ftRW1QFEWxL2KRhJBktG9Yli3Jthw5XtNx4iROO9M5PZ2eSWZOJumZTk/6TM+cyell+syHZMbT6Uk7naTj9tZ2rCiWJaFdQgsICQmxo2ItKKCKoqAoivdDvc/tQpZtKJDt9z3c5/hosSgunv/zf557ue7rprCwUFQulNJIMs5GsoGdGh6j1+spKyuTgCEcDi/YMU4GixqXDsj0RoPBQEZGBtFoVKobyQ51mC8WtSYqyExMHmk0GpGAW2oH7G6Bg/q+6hmpe0en04nO+GKrCvPFop6H2ruqKViNh0+UHFwqLHcLGlSQmbj+6uxIRtVlPjg+zJbcQZ6PaTQaObDmk6ZfKkfjLp8hWJR0zEIzPYvFoV4SdXio9Viow7NUWNR/SrJoPuWLe4VFmXph5/Ny3mssCd/nU8VyLy/3+eJI8gJZtIN85xoki2Upns9nCYt6T5KZ6rXUWNRFfy8usmSxqP+Wal0WgiORvrSYDNzdcCwUi6Ldzc7OLpo2sFgs6q5JJmN8L7CovbGYNUkGy93OkcQ/f5pY1N/dCywLxbFUNl8HeVEc5GRNp9PhdrslXf9pmToszWZzUrzNpcIAiCO62MNzsVjuyJZ/qliU3UuO0UKxfNr2WcHyWXoey1jithSKA0tln+a5fqfdieXTWpel4Bcvhc3OfvzI90/KlJP+WbDPyn13tz9/kna37/1p4Pks3HWfioMciUTmNIt8mhaNRvH7/Z+Kc5xos/9vY8VnxT7t9Ui0z8KLsmzLtmzLlqx9ls6wzxKWZVu2z7It1EEeArqW4hsvwDkuvNdYFuAM3g3LkuFYgN3zNVmALWO5u33WsXwaOOCzg+Wz/nxgGctnHctnBQcsY1nGcnf7rGP5rOC4qy2Ig7xsy7Zsy7Zsy7Zsy7Zsy/b/d1seFLJsy7Zsy7Zsy7Zsy7Zsy5Zgyw7ysi3bsi3bsi3bsi3bsi1bgi07yMu2bMu2bMu2bMu2bMu2bAm2oCa9pdJBXqjdKx3kpcDyWcGxjGUZy0KwfFo4gKHZ2dnMzwKWz/LzWcby2cfyWcGxjGUZy/9XsXxWcHyYLbnMmxp4kZqaysjIyFJ//IJMibNbLBZGR0c/VRxqxGUwGPzUcCRiMRqNTExM3PX/K7vXDZxKmN1oNDI5OfmB76fGHms0mk9EQ1QJ6N9typaa8KOmtt1rUz+3UlhJxKPX6+Xv77XebOJ+UJMt1e/VtDI1XW+etqiO5cTBOupnV89N2Sep8arOmMSR8GpaGPCJSjcqLIlj2PV6veyliYmJT1TiK3EKqZqIqdPpMBqNBAKBT1Qr+c5ppmpAhdlsJhQKfSqSo4l72Wg0zms8+r3GovbQAt/pJceinpWaMPdZ0NVW5/9nRQJ1qYZ3LNuH25I5yOoFM5lMGI1GUlNTGRsb+1Q2k8JiNpsxGo2kp6czPj4+5yW7F1NiPsxMJhMmk4mMjAwZHZk4sSfx4L7X62U2m2UkbW9vr4xuThxUoi6Pe31AmkwmGW89NjbG1NTUnPHF0WhULtZ7fXGocZ9qnHJKSoqMMoa4yL9Go5Gxm/dyv+h0OnkGer0eo9HI1NSU7BuFT/3+XmFJDFCMRiMWi4WpqSkZ76xMjby+l2uS6EyYTCbS09NlTRK/r5rO+UmI/ms0GgwGA06nU96VxOehxisrXPfSlGPjcrlkVK1aA7Umauz0J+H4aLVaHA6HBC9qyp96n2OxGBMTE4LlXu8dNdo4cZyuTqfDZDKRmpqK3++Xd/1eYlEOH8QDXb1ej06nw2w2o9PpGBwcnIPjk3inFC6TySTvuk6nw+/3y7n7SQ3RSDz3EjGNjIzIO/RJDvRQZ77aQ3q9nkAgMOee/qSw3DldVq/XE4lE5nz/T8NhTkzmLHai6GJx3DkJcbE4lsxBVhmcLVu2EAwGiUajlJaWUlNTQ0pKCg0NDZw+fZrh4WFZ0Ht1UKsMzv3338/09DQzMzNs376d+++/n0AgwNmzZzlx4gQ+n08O7HuRdTIYDAA8+uij8jPv3buXnTt3Mjw8zNmzZzl27BiDg4OSXQmHw0uUgeBuAAAgAElEQVSOA96fN/+FL3wBk8kExB3ULVu24PP5OH/+PEePHmVgYECcskAgcE82eeK6pKeny/PatWsXQ0NDXLlyhaNHj9LX14fRaMRsNhOJRO5J8KCwrF+/HpvNRmpqKkajkZqaGvr6+ujv7+fkyZP09vbKATk8PHxPHB71DuXk5GA2m7HZbDgcDjZt2kRbWxspKSk0NTUxODgIxF9+v98/rxHpCzF1idtsNoxGIy6XC7fbzdq1a2lvb2d2dpbe3l6mpqYIBAIS2CQ6X0u1b5RjpS5Nl8tFQUEB69ato7+/n2g0ysjICJFIhP7+fsmSzs7Ozgn+lsISs2wajQaHw0Fubi4bNmxgcnISrVYre8Pr9TI0NCQBp3qvl2rf3Dn+XAUN27dvx2w2k5aWxuTkJOFwmPb2djo7O5mamppzeSxFcHW3ipOqIJaWlpKZmUlpaSkGg4GhoSFGR0fp6OggEonMWYul2MN3w6LVaiUIT09Pp7i4mMLCQnw+H5OTk/T19RGNRklJSWF8fBxgjuOerN059ls5Wnq9HrPZTHZ2NpWVlRiNRhmc5XQ6uX37NkNDQwD4fL4lqUDcbYyx2sMGgwG73U5lZSVr1qxhbGyMrq4u0tLS6OjoYHh4WLCo92kpsSTiUcFmRUUFVVVVzM7OMjo6itFo5MqVK4JlcHDwrtXPpbJEJ12dfWlpadjtdpxOJ+fPn2dsbAyA4eHhe4oF3t87BoOBWCyGyWQiKyuLoqIibt68KWfL+Pj4PccCc8eDazQa7HY7GRkZDA8PS0AViUSWZL98nCWujcfjIRaLMTQ0NKfyuhifaskc5PT0dAC++93v0tjYyNmzZzl16hQzMzPs3r2bsrIyAoEA169fJxQKodVqCQQCS/Xt51haWhoAf/Inf0JHRweXL1/m+PHjAKxatYri4mL6+/uB+GGo0+nuiYPsdDoFR39/Py0tLdTW1nLt2jUyMzMpLCykoKCAaDTK5OTkh1INlsIyMjIA+M53voPf76evr4+6ujp8Ph86nY6Kigp52aanpzGbzQSDwXuCRT2fP/zDP2RsbIxQKERnZycpKSnY7XbWr19PY2MjgUCA6elpDAbDnOhwKc1isQDwta99jZmZGQlS8vPzsdlsVFRU0NnZyfj4OJOTk1itVkZGRj4wlnspzGw2A/DEE09gt9vFQS4uLmb16tWkpaXx+uuvc+XKFYaGhnA4HB+g7CyFM6gClnXr1lFeXi7/5ebmMjg4yPT0NOfOncPr9XL9+nUikQiRSIRoNCrff6ky28rRMJlM5ObmUlNTw/79+8nLy2N8fJxAIMCNGzcYGRnh4sWLDA8PMzAwwMzMzJJnvxQWiD+rDRs28OUvf5l169YxOzvLwMAAnZ2dDA4OcvnyZTQaDf39/aSkpIijoygpizH1LqjP02q15OTk8Oyzz/L444+TmpqKz+cjEokwODhIfX09k5OTcsYlnnVLHeilpKRgs9nYtGkTX/3qV8nKypK7YWBggHA4zLFjxzh27Bizs7NzKkPJrsudwULi3xsMBgoLC/n85z9PeXk5hYWF2Gw2+vr6yMzMpLW1lUuXLnHx4kVaWlqA+BCrZCsiH4ZFo9FgtVpZs2YNmzZtoqamhqysLHw+H/n5+QwODjI4OMiZM2c4deoUAMFg8AMZwqXAAvF3PDMzk7y8PO677z4efvhhnE4nRqOR/v5+Zmdn59ybqnJ0L5IUKSkpWK1WsrOzqa6u5pFHHqG8vByTyST7+8yZM5w8eRKA06dP093dfc+qrco5TktLY+PGjTz55JPk5ORgt9uxWq2cPXuWc+fOAfDee+/R0dFxTyu/ag2sViv33XcfmzZtoqqqiqysLM6fP09TUxMAtbW193Rd7rSysjKKi4vxeDxUVFTQ19dHW1sbAJcuXZJ9dC9tdnaWvLw8MjIyyM3Nxel0Mjk5KcHUjRs36OnpSRrHoh1kdSB+4QtfAOKZuKysLLxeLykpKQwODnL06FGysrKorq5m+/bttLS00NnZycWLF5c0HZ6SkoLZbOaZZ54BYPXq1eTm5jI0NEQ4HObmzZt4vV48Hg/r1q1jw4YNtLW10dvbS319/ZJhSUlJwWQy8cQTTwBQUlJCTk4Ok5OTjI6OcvXqVQDcbjcrV66kuLgYr9dLKBRidHT0Axf6YtfEaDRy4MABAPLy8sjKygLA7/cTCoUYHx/H4/FQXFyMxWJheHgYnU4n2f5E3uliXz6DwcCmTZsES25uLgMDAzQ1NdHe3s7AwADZ2dnk5eURi8UIBALY7XZ8Ph8zMzNz+JWLxaLT6VixYgUQD5xcLhdTU1NcvnyZYDBIb28vOTk5FBYWEolEGBsbIysrS5zExCzTYh0NrVZLbm4uADt37pQMitfrxW63EwqFSE9PZ82aNczMzDA6Okp6erpkMFS0rtFoJFOYjKmMAMD27ds5ePAgVqsVjUaDzWYTDnZVVRVOpxO3283Y2BjHjx8nGAzO2SuL5bwmcouzs7N55JFHuP/++1mxYgUej4eRkRHJ2AYCAXF8zp8/j9/vlzUxmUyEQqFF7ZdE51iv11NYWMjzzz/PQw89hMfjIRgMCoUhLS0NvV6P2+2mvr6e0dFRcZBVpnIx++XOUqvdbueJJ57g+eefp6ioiOnpaSYmJqQ6Ulpayvj4OKmpqYyOjs7Zt6FQKCn6UiLlJfHMNBgMbN68mW9961tUVVVht9sJBoNzMqEbN25kenqa+vr6OftlbGxsUVmnxGek9k5FRQW///u/z8aNG1mxYgVarZaRkRFsNhtZWVnk5OTg8XiYmpqSnhmDwcDIyAihUCjpNVG/V1SBzMxMNm/ezJ49e9i3bx/Z2dkMDAyQnp5Obm4uJSUlDA0NEQwGaW1tBSAcDjM7O5tUIimx2nHn71WwWVVVxf79+6mpqcFisRCJREhNTSUrK4tIJIJer5dqVSgUYmZmRhyPZLHcba0sFgtbt27lwQcf5Mknn8TpdBIKhbBYLEJ127Ztm+xTtZ/6+vqSwjI7O/uB4EH9XUpKCunp6aSnp/Pcc8/x1FNPYTQacTqdUvXevXu3JJymp6eJRCLcvn07aSwfZarCvWLFCl544QVWrlzJ6tWrsdvtTExMkJeXR3V1NQCpqakcOnSIzs7Oe4JFmV6vZ/PmzXz729+mvLxcqHeArMObb77Jb37zmwVjWQiOlJQUnE4nTz31FCUlJZSXlwOQlZUl+/Q3v/kNb7zxhrxTC7VFOcgajYb09HS+/vWv8/3vfx+Ip/mDwSBdXV2SEUxNTcXtdhOLxejq6mJyclIOs6VyBFWE/txzz/EXf/EX8nmxWIzm5mYmJyfJyMjAbDaTm5uLRqPB6/UC73M+lwKL4kg+/fTT/Lf/9t8AhCt0/fp1BgcHyc7Olszg+Pg4LS0tsslU81HipZOsqSadz33uc/zoRz8C4of/zMwMra2ttLe343K5sNlsFBcXYzQaGR8fR6PRSJZ/KTmuWq2W6upq/sf/+B8A2O12wuEw3d3d3Lx5k7S0NFJTU8nNzaW6uprp6WkyMzMJh8MYDAampqbm8NAWG8RkZWXxn/7TfwKgoqKC2dlZLl68SENDg/CjnU4nmzdvJhaLifNpt9sJBAJz6ASLxWKz2fjmN78JwIMPPojRaOT8+fNcvHhRsGRnZ7Nq1SqpNoyPj5Obm4vX6xXHQpX0k8Wi1+vZtWsXAN/4xjfIysri6tWrXL16FaPRiMFgYMWKFeTl5aHRaCgqKuL27dv09PTQ0tIiGe1oNLpoHrs6AAG+/e1v89BDDxEMBvH7/VLOs1gscsZ4PB56e3sBuHLlipRBI5HIoqtEs7OzczLrL774omSOvV4vw8PDjI2NMT09jd1uZ8OGDRQVFVFeXs6pU6fE2QoGg+j1+kU5yIpjDPHL4POf/zzPPvssubm5BAIBfD4f3d3dzMzMoNfryc/PJz09nQcffJDa2lpqa2uBeNncYDAk5SAn0jQUJcdut1NdXc23v/1tNm3aRCQSYWpqit7eXiYmJhgbG8PpdFJSUsKaNWs4fPgwv/vd7wDo7OxMuix7Nyzp6enk5eXxzDPPcPDgQRwOB3q9Hq/Xi9/vZ2hoiEgkgtPpZNOmTXOClrNnzzI9Pb1gB/luOGw2G1arlbVr1/LlL3+ZjRs34na7mZiYYGpqis7OTqLRKDk5OZLNVc/j7bffluAv2TVR2Ud4v+fD4/Gwf/9+du/ezY4dO+RcGxkZIRAIoNPpyM3NZXZ2VpI80WiUcDiclIOciEXd+2r/mkwmiouLefzxx3n66adJS0sjFosxPj4u2XOHw0FmZia7d+8G4rSG3t7epBzkRCx3Ou7KWd+xYwfPP/88O3bswG63y70cCASwWq04HA5xSgcHB2lvb0/KQf6oM1o56263m82bN/PNb36T9evXC1fd7/djNpuxWq2S0FCV2GQc5PncF0ajEbvdztatW3nhhReoqanBaDRKwJmSkiKBQzQapbu7e8FY5oNDp9NhMBjIyMhg586dPPfcc7jdbvx+P+np6ZhMJjwej/z7zs5O2trakroTl3WQl23Zlm3Zlm3Zlm3Zlm3ZEizpDHJKSgoOh4O/+Zu/4fHHH8dmswHQ2trKqVOn6OjokO7lwcFBAoEAk5OTmEwm+dVgMAjfS31msnxBq9XKD37wA7761a9KRNXT08PVq1e5cuWKNBD19PQwPDzM5OQkZrOZqakpUZm4s3EEFs6LMxqNPP/883z/+9+XNRkZGaGpqYnDhw8TDocJBoMMDg5K5s9sNgvv12q1zuELQvK8Ra1Wy+bNm/nBD34wB8utW7f41a9+xcDAgDTy3Lhxg5mZGWw2G9PT09hsNlwuF4FAYA7xXzVjLdRSUlLIzs7mP//n/0xeXp5g6evr45//+Z/p6OggNTWVcDjMpUuX0Ol0ZGZmotPpcDgcrFixgv7+fimDJiEvNsfMZjPPPvssW7ZsAeLZg+HhYV599VVu3boFwOTkJMeOHcNut1NcXCwqAdu3b6epqYnu7m7gfc5iskobWq2WLVu2sHfvXvlzOBzmnXfeoaGhgYmJCcLhML/4xS+kWU6v15ORkcGBAwc4c+YMV65cEcyq7LdQ02g0kl2CeMkuGo0KL1LxWk0mE4WFhVRXV+N0OsnKyuKZZ57h+PHjHD16FHi/DJrs81Hl+jVr1gBxuofb7cbr9dLQ0EBrayv9/f3MzMyQmZnJunXryMjIICMjg6eeekqydAB9fX2EQqFFZZATqSfPPvss+/btY3p6mp6eHk6cOMGNGzcIBoOkp6dTXV0tTWFVVVV4PB7JjDY2NkpT2GIqDoqvvmnTpjnUitraWhobG7l9+zZ6vZ7KykqcTifp6emsXLkSt9stn/O73/2OycnJRWNRDcAej4evfOUrbNmyBavVyuXLl+nu7ubChQtMTExQWFiI1WolKyuL9evX8+ijj0pW/h//8R8ZGxtblJKPqphBPMu0ceNG9u/fT3Z2tmTVz5w5Q19fH1lZWbS0tFBQUEB1dTXr1q2Trx0cHGR4eHhRWFSmNBqNUlhYyOOPP8727dvRaDR0dXXR0NBAS0sLBoOBxsZGCgsLWbNmDdnZ2dTU1AAI5sVW8lSGdGZmhvT0dPbt28cLL7xAXl4eRqORvr4+bty4gU6no729nWg0ysaNG/F4PBQUFABQXV3NlStXlqyqGIvFMJvNlJeX88d//Mfs3r0bm83G1NQUXq+X8fFx6f1YtWoV6enppKamAnEa5+nTp0WObrFUO5XZTktL4+DBg3z9619n9erVmM1mxsfHGRkZobOzk6amJkpLSykqKpL7tKKigpycHJHeXCpOv16vp7S0lO985zvs2bMHl8tFJBJhYGCAQCDA8ePHKSgooKSkBJfLBUB+fj5FRUUYjUZRrlkKU9X5p556ij179khFVVW+L126hNvtxm63y/mSnZ1NaWkpZrOZmZmZJevxMhgM3H///VRUVMh9efPmTVJSUujp6ZG+pczMuNS+0+mkrKyM1NRUZmZmFlyhStpBVi+Iy+XCarXKSxgIBDh16hQ9PT3MzMwIPzIWi33gV6PR+IENnuxhrV44h8MhWILBIIcOHaK9vZ3p6WkcDsccDIDwJE0m0wc6qZPFodFohLMEcS7ZoUOHuHXrFtPT06Smpn4ARzgcZmZmRpySxPL9Yg4jq9WK2+2WMtvk5CRvv/02DQ0N0gCnHAn1PcPhMFarFYvFMsfZWuwh7XQ6WblypahoRKNRDh8+zPnz55mamiI/P1+eh+r4npiYwG63SylddaQutnnFYrFw4MABKcX4fD5OnjzJ8ePHCYVCggWQIG9ychKXyyUyecpZD4VCTE1NJb13DQYDjz32GKtXrwbie/Ly5cscOnQIv99PVlYW4XBYSo+q6SA7OxuLxUJRUZHQhYaHhxkfH08Ki0ajYc+ePTz99NNA3Mno6urizTffpKuri/T0dCYmJjCbzfj9frq7uxkcHMTtduPxeCgrK6O9vR2Arq4u/H5/0muSkpJCYWEhP/zhD4E4jzYajdLY2EhtbS16vZ6Ojg6mp6cJBoOkpqYyODgoHPvVq1cLFlXqT9bhSUlJITU1lX/1r/4VAM899xwej4f6+nouXbpEe3s7jY2N4iCnpKSQk5NDUVERZWVlVFZWsm3bNiDeqBYKhZicnEz6MtXpdGzfvh2Af/Nv/g3V1dVSXr158yYXL16kt7dXzhmPx0N5eTnr16+ntLRUvraxsZGxsTHC4fCiApn8/HwAXnjhBQ4ePIjNZmNiYoLe3l7q6uo4c+YMAF6vl4yMDKqqqqiuriY3N1f6Ec6cOcPAwADj4+OLcngcDgcAGzZs4KmnnqKsrAyNRsPY2BjXrl3j1KlTjI+Po9VqsVgsRKNRVq9ejdvtln6E1atXc/36dfR6fVIqEndSYB544AH27duHy+ViYGCAtrY2jh07hs/nIxAIyD2olAlUU2NlZSWHDx/+UM36+Zq6D81mM2VlZfze7/0eFRUVQPyOVLSy27dvEwqFyMnJITMzE6fTKU5pRUUFLpcLi8WyJFr+Sgbwy1/+Mvv37yctLQ2dTkd/fz8XLlzg2LFjjI6OkpaWxtTUFJs3bxanp6ioiNzcXNLS0vD7/YvGooLxmpoavvnNb1JSUkJaWprs4TfeeIP29nbC4TBjY2PY7XbZZ6pHJSsrKynKx91Mo9GQn5/PH/zBH7Bt2zby8/NF0ePdd9/F5/PR0tLCyMgIer1e9ovT6WTFihUUFhYmRbP4MLPZbDz++ON88YtfZNOmTeh0ujl9W/X19TidToqLi7FarfI1paWlrFq1ihs3biwJDoPBwPr163n66afZs2cPVquVrq4uLl++jN/vp729HavVis1mY/PmzUC8z6uoqIiNGzdy+fLlT85BhvhFHggEpHEH4OLFiyKfZjAYSE1NFV7unb/a7fY5TuliHLCpqSlu375NLBYTh+7s2bPycFJTU++KRTnqNpttDpZku5hnZmbo7u5menpanLn6+noaGxvFMbNYLGg0GsxmM1qtViI+nU6HzWabEzSoxp9kLCUlhdHRUcbHxyXjdOvWLdnYVqtV/t5sNhONRufwsVWThLrIJyYmFnWpO51OZmdnRU6pra2NU6dOSdCQmpoq2bFYLMbU1BThcFikmtxut1zkIyMj8jkLNb1eT0VFBSUlJbJvOzs7+Zd/+RdCoRBGo3GOFJ5Go5GGRsVlz8vLk+d7+/btpBvjdDodK1euFH4dxB2JX/3qV/j9fgwGw5z9Eo1G6erqIhwOMzQ0RGFhIfn5+axduxaAq1evMj4+vmAsWq2WwsJCvvSlL4myh9fr5Y033sDr9co+VXtkYmKCmzdvEo1GcblcrFmzhry8PHbs2AHEg59kh/NoNBoyMjL44he/yMqVK4G4k3vr1i1qa2sZGRmRtVANiw0NDRiNRnp7e9Hr9RQUFLBz504gvlcGBweTdtStViubN2+WRuS0tDQikQiXL1+mubmZ/v5+CZJGRkZoaGigs7OT/v5+XC4XK1askAO7ra0t6a5qdZG73W4+97nPAfFOcp1OR3d3N5cuXaKtrY2hoSEmJiZkzQYGBggGg5SWllJWVibNLNXV1Ul34CupJ7PZzMaNGwHYunUrDocDv9+P1+ulvr6ea9euiepLMBgUCabVq1dTWVkpAWp1dTVXr15dVMZWr9dTVFQExLOMW7duxWg0ShPpmTNn6OnpEdWg1NRU7HY7paWlmEwmyQpWV1fz7rvvJt3spHpvAFauXCnZWoDz58/z3nvvUV9fD8T3psVioa2tDYfDIRJwACtWrCAzM3PRPH6V4c/Ly+Pf//t/T1VVFQaDgatXr3L+/HkOHTpEMBikv79fuLY6nY6MjAzZK5mZmXg8nrsOUVqIqcAhPT2db33rWzz77LNkZmYyODjI2NgYb731FqdPn+bGjRtytqjGV/V8VE/TYpIkam0gfvft3buX733ve6xdu5ZAIMDQ0BDXrl3j6NGjHDt2jEAggMPhIBqNkpGRIb0RSlJRSV0uFotWq6WoqIjvfve7HDhwgKmpKcbHx/H5fBw9epS33nqL8fFxGX4Wi8Vkv7hcLgmKlyJ7rKQsX3zxRX7/938fiPs3fr+f+vp6zp49K704t27doqenR97n4uJizGazVDQXY+rc27NnD3/+539OWloaTqcTn89HR0cHt27dorm5WRo3HQ6HOOrKB1UzDRaasFmUg6zX6+np6SEUCkn09NJLL0mDCMSzayo6n5iYYGBgQA5vt9stDhrEs1+qGzyZC35qampON/Jf/MVfSCZbHdAul4ucnBxmZ2eliWdiYkJkXFTWd2BgQPRVF7LxlRM8OzsrepZ/9md/RktLi7xEIyMjuFwunE4nDodD1Bmi0SjZ2dm4XC451Lq6uujr65MM4kLN4/HMifr/63/9r9TX1zMxMcHo6CjDw8M4nU6JyK1WKzqdjsnJSSkdqSzC9evX6ejoSLoLPzMzU2gtAP/7f/9vmpqamJycZGxsDL/fj8PhIC0tjbS0NHJychgZGSEcDktjo8p+1dXVcfXqVcbGxpI6DDIzMyVDDvDaa6/JMwoEAoyMjEgW3W63U15ejs1mY3JykqysLDwej2QFT548SW1tLUNDQ0kdBhkZGXLIQVyu5/r169IU4/P5JLBKS0ujuLgYu91OJBIhIyODoqIiaRo5cuQIb775Jr29vQsqa6lmmIqKClE/uH79Os3NzQSDQQKBAP39/aJLrRqLDAaDdJy7XC4OHjwIxOXzRkZGRPN2ITY7O4vBYOCBBx4QSUB1CHZ0dNDa2ipVBq1WS1paGkajEa1Wy9DQkGR8Vak6Go2KSkyyurL79+8XZ2FmZoahoSFqa2s5cuSIZINVUKmCqvb2dhmWpAIYv99Pc3MzgUBgwfqcqpq0Zs0aHnjgASBeIZqamuLMmTP85Cc/kUpHNBrFYrGIdqpyzHNycqRsvnv3bi5fviyUs2SwZGdnz1HrgXgQ8Ld/+7fU19eLmohyJMbHx2lvb6erq4v8/HzJCm7dupX33ntPhhct9PxX+/fxxx+Xn02p37zyyiu8/vrrtLa2EgqFSE1NlT3c3t5OR0cHxcXF4lyrjKBqaF4IltnZWYxGowS8n//858nNzSUajXLz5k2OHDki2WOVoIhGo7S0tOByuVi5cqWct6mpqTgcDmmkTKrJSKORIPOZZ55h8+bNGAwGBgcHaWho4PXXX+f69etzpoiGQiGsViuRSETuoXA4jNFolKFFyVQ2U1JShA6wb98+nnnmGRni1dvby+9+9zteeeUVRkdHCYfD4hyqxnWFRVUZ1RTEZBNryvdYv349/+7f/TtWrlxJLBYjHA5z8uRJfv7zn9PT08PY2JjQIsfGxti7d698rSrbq2RXsok1VeHNzc3lT/7kTzhw4AAmk4loNMrZs2d5+eWXuXHjBqOjo4yNjWEwGLDZbGzbtk0Ch5mZGUKhkGBJtvqsnHWbzcY3vvEN/uiP/kiqQtevX+fnP/85jY2NjI+PywwHvV5PVVWVPF+ICzaoAVyLocIYDAb27t3LX/7lX5KTk0MsFqOjo4Mf//jHck8q2d5YLMb9999PTk6O/CyqopqMVOyCHOTED1eXkNVqZWhoSMqZ6kW+898pSaiBgQGi0Sh+v5/Vq1fzyCOPiKPR3t7Oj3/8Y1pbWxd0qSruWWFhIaFQiJ6eHuD9jv7EoSQmk0kcHyX/FggEyMvLY//+/ZIB6+zs5Cc/+QmNjY3zjlRVVqWiomLOQ5uamhJ+myqVmUwmuTS6urrECSkuLmbz5s2S/bp9+zY/+clPqKurW/DFkZKSQnFxscjHQXzTqkPX5/MRi8Uka2yz2QiHw4yPjzM0NMSKFSvYsmWLOBper5f/9b/+FydOnFiwhJe6TBOlnEZHR8nLy8NsNtPV1SWBgqKfhEIhOZhUqVpdPHv37uWll17i0KFDC86YxmIxcnJy5LCBeEBUXFyMRqOhtbWVaDQqHNpYLCYTrtS6ZGdni5Ny3333YTabef311z8wZWk+61JeXi6apwAdHR3k5+cTDAZFZzglJYXJyUlZO4PBgN/vp6ioiJKSEnGQ8/LyiEQi/OpXv5qjSzwfW7t27ZwAc3BwUAZzNDQ0zHk+k5OTBINBGQOenZ1Neno669atA+DAgQMMDQ3x85//nLGxsQUHVJWVlVgsFnEiBwcHGR0dJTU1dQ4NR1WvEjP4LpcLnU4n+3b79u10dHTg9Xrn9DzM1woLC8U5hjgd5+bNm6KGoCYbAsIvVpSbjIwMNBqNKINUVlbywAMP0NbW9gGpwPmY0+mUoTYQT0AoXnZLS8sc7WcV3E9MTKDVarHZbGg0GgkyFcWhqalpDq1rvmY2m1m1apU4xoqKpAYgBYNB4eZPTEzIr0rT1WKxyNlvt9tZt24d9fX1Sa2LXq8nJyeH++67D0B0ss+ePcvPfvYzvF4v4XBYqp42m02UeoxGI3l5eWlbg1UAACAASURBVFKq1mq1rFq1ijNnzgiW+Z4vStLtoYceAuKKJ9PT01y/fp2XXnqJixcvEggECAQCjI2NYbPZ5D2KxWKsW7dOAphIJCKcUkV1W+j5b7FYeOSRR4B4kGc2m+nv7+fEiRMcOXKEgYEBGWhjtVoJBoNotVpcLtec8zEUCuF0OmX6XzKcUsUfBfjSl76Ex+NhfHwcr9dLbW0tJ0+e5ObNm6JOo56P0lhXWJSzDiRNg9FoNFRWVgJxtZ6qqipisRjDw8NcvnyZf/mXf+HkyZNS3VRJvYKCAgwGgyiLqEFkSikn2QqrChS/9rWv8fDDD4tK0dWrV/mHf/gHfvOb3xCJRCQrazAYyM3NJSMjY04lNRgMyjNcTH8OwGOPPcaLL76IzWYjEonQ3NzMSy+9xBtvvCG9KCqIUtxstS/GxsZE2xuSo6uqRM2GDRv40z/9U7KysojFYrS2tvKXf/mXvPbaaxI4RaNRjEajcPlVwBEKhejq6qKzszOpgGFBDnLiOEGtVstTTz3FwYMHsdvtvPvuuwBzpkcBoh/b2tpKa2srw8PDIrHS3NwspQqIZyD27t2LTqeTlPnHYYH4obRz506eeuopnE4nDQ0NAHIxq7Gr09PTjI+P09/fj9frxefzyYLV19djsVikBJSfn8+uXbuIRqPcuHHjQ7EkBg0ajYY1a9bw/PPPk5GRIUGD0h5VDXDqoohGozQ1NXH79m2hUly4cEHoBhDnsG3atIlAIEBTU9NHHkx3YikrK+NrX/sabrdbNqqiJqSmpqLT6YhGo0xMTIhcS19fn2S3zp8/j81mk2eUkZHB+vXr8fl8XL16dd6HpEajITc3lyeffFLE+RWWxElWSkpIUW9GRkbw+/0Eg0FOnz6NzWaTUqXD4aCyspLOzk7q6+sXhMXlcrF//35cLpdwdwOBAM3NzeJsK6qOw+EQ2osKYo4fP47D4RDHwGKxUFFRwcqVK7l06dK8nVLV6FpTUyMlI4gHdg0NDUILUHtXZSchHmgFg0GOHj0q3G6IB15qsMd8saiLdMOGDVitVnFKDQYDFy5coLOzU957lSFLHHM6NTVFbW0tOTk5ss+MRiNFRUUUFBRw7dq1ea2HwmI0Glm3bp2Mk1ZrfPr0aVpaWuZg0el0Uj1So8nPnDlDWVmZBIUGg4G8vDzRTl6I6XQ6Vq9eTUFBgbxbdrudCxcu0NjYKLQsFRxrtVppstXpdNTX17Nt2zaRDDMajWRnZ8vkqYWYosGsXbtWHASz2czZs2e5cOHCnCZjlRFUzoVGo6GlpWVOs6LSd1Xl2oWYaujctm2bOJZ2u52mpiaOHz8uo+PVWa/Gxavz2Ov1zrknjEYjDodDKBELMaVdu23bNnEuMzIy6Ovr47333qOrq0vK0ao6oZxepfeusqOAjKBe6Fh59R5t3rxZAsW8vDyCwSAnT57k9OnTQsdS66DeIb1ez+TkJA6HQyhOo6OjcqYnQycwGo3cd9990sxUXFzM9PQ0N27c4M033+TChQsid5c4TVav14sMpqrgqEqdOhcXikXR2p5//nkgnlTQ6XT09fXx2muv8bvf/Y6bN2+KBKzaO3q9HovFMqfa0NnZKVWSZKhtWq0Wj8cjPQX79u3DYrHQ39/P22+/zRtvvMG5c+ekgTURi6rgqYpfR0fHorCoPfPVr34VgK9+9atkZmYyNjbGO++8wyuvvMKpU6cIh8OSJFH7Vk2pVHdiIpZk6Sd6vZ5HH30UgO9973sUFhYyOTnJO++8wy9/+Utqa2sl+Fc/r1arJSsri5UrV8r7197eLtn9ZBkBKpD/8z//c9atW0csFuPdd9/lb/7mbzh16pQEAIka87m5uaxdu1b6CW7dusXw8DDRaDQpHAumWCjH1OPxsGXLFgwGA+FwmIGBgfc/VKcT/UC9Xo/NZpPJbOqQUuUcVSKFeHaltLSU9PR0jh07Rl1d3Uc2JyiReuW4QTxDmngZxWIx8vPzZWyn6i5vamqStL+6YBO7w1esWIHb7Ran+dq1ax9ahlSHmCpRK2dKPThV8ti8eTOXL19mcHCQ3Nxc8vLyZPKMumTV4akujpycHHbs2CEvR3t7+7ycZKvVSl5eHlNTU3I5qDXT6/XiUA0MDEiD1Y0bNzAYDJKdU5QVtRGdTifV1dXCf1UZuY8zk8mEw+GQwQ4qy6UyOllZWaL3qbpOA4EAqampwotTahvKecvJyaG8vJzBwUG6urokMPs4U5yk3t5eaZKBuOKJ4gMqKkVmZiYVFRXCQ1UVAYVb7TMl9r9u3Tpu3rw57yyywWDAbDbT2tpKd3e30GCampqEzqAE/BWVQmV6lNMaCoXmYLFYLDJS9+rVq/Mq+SmHoKWlhfb2dql2XLp0iY6ODhmPG41GRYVgamoKnU4ne0spbSTueYvFgtvtXlBpS2X0vF6vcPkhHsA2NDTIGPSZmRlMJhNOp1O+pzoA1fNR70lqaiparVZ4ofM1xX1XA35UQ1BPTw9nz54VLNFoVNZoZmYGrVYrTqHiu6qfQ52fKtCZryX2dCROIfX7/Zw4cQJAxhYr51i9xzqdDr1eL2duYs/H9PT0nGEfC8Hi8XhkL0CcInfmzBkprSrnMiUlRc43g8Ewh++b2GuROGhmvqY+My8vj/LycskcTUxMcPXqVfr6+ub8bCoQV30GVqsVj8cjZWCIZ53UAJqFOMeK+15dXS1NXLFYjPb2dm7evMnIyMgcOo4axqGCg8LCQoxGo3zPkZERenp6Fnyxp6SkoNPpKCkp4aGHHhJnTqPRMDAwQF1dnUw6U/shFouh1+uldF9aWipUQYjfE+3t7Qt2AhWWsrIynn76acrKyoD4OxkMBrl06RK//vWv6ezslJ9TVTV1Oh1ms5mSkpI5zfder1dmGySDZcWKFRw4cED6AtLS0pienubatWv87d/+rSh5qM9Wga/SFFfPFuLOemNjowx1WQgWxZnfsWOHDPLKzMxkdnaWjo4O/vt//+90dHTM0f5Xo5W1Wi0FBQXiO0HcGayrq0tqKJJer8fj8VBZWcmXvvQlAAoKCmQa6A9/+MM5U/rUc1J4Kioq5iQ7m5qaqKurW/A7rdVqcTqd5OfnS89HZWWlBLLf/va36ejomLPWyodTcxZcLpfslcbGRq5cuZJ08++CHGTluKWkpEiGsbq6mtTUVAFcXl4u2YFIJCKZrtbW1g80nCkitbrc+/v7SU9Pl0Vyu910dXXdFUtiWXNqaoq2tjZu375NRkaGOFGbN2+WqEqpady8eZPW1tYPDJ1QHc0qk+L1ekWJQjkqd3OQ1QWgDl5FN/F4PHKJ7d69Wxp5FMe6ubmZzs5OafwCpLM6HA4Lp9tqtYrcGfCRAw8SaS3KUejq6prTMLh3714pxU5OTqLVahkeHubkyZNMTEwwMjIiTq/BYGBsbIybN28C8UssLy9Pmu3mM8QkUYzd5/PR1dUlQci+ffs4e/asBEFms5mUlBS8Xi+zs7O0tbVJpl2r1eLz+Th79iwQd1JUVmEhl5i6UNWAEsWZeuSRR4SnrhweNVFLr9fT1tYmnHS9Xk9/f7+MPi0uLsblcpGZmTlvPpzCohwsr9crUe+BAwcYHR1laGhILnMlOaTVaoXbOjU1Jc6kwlJRUUF6evocTvPH4VANq0ajEZ/PR1VVFRCfeHbp0iXhhaqGQZXxV9KN6j3q7++XsadVVVUUFxdTUFCwIN5XSkp80peSNVLC8zk5OWRnZ9Pe3o5Op8NoNIp0T2LGSZ1RapgAxBUwlBzSfPZsoiU2TalMqRqwoagvBoNBZJ4U5UM5nTqdTioPEKd/ZGRkYDKZFozFaDTi8XgwGo2Cpbe3V0qZiZQy9dkqCaHVaj+g1GM2mzGZTOLQz/cZqSpCVlYWGRkZIu00MjJCW1sbLS0tQpNSeGZnZ4lGo3McZIvFIsGYkv9c6JoA4qyXl5dLNi0UCtHU1MSVK1eE6gHvy6/FYjGhCLpcLtxut5yx4XBYGvTmuy4qw5iTkyMKHRC/m+rq6qitrcXv988JGpTZ7XbpucjMzJSAo7m5WaauLvT56HQ6CgsL2b17t2CZnJzk7Nmz/PrXv6anp+cDWcbZ2VlRI9i2bRtZWVlyNjc0NHDt2rWkuOFqouFjjz0mzyeRN9/d3S13WuJ96nK5WLt2LU8++SQul0sqC2fPnqWxsTEpLHq9nvXr1/PlL39Zztvp6WmuXLnCj370I7q6uj5QNUhJiQ/s2LFjB9/4xjdwOBxSefztb3+b9Lro9Xo2bdrEH/zBHwiFS2X4/8t/+S94vd4POHUajQa3282jjz7Kt771LWKxmOyRV155hevXryflCOr1ejZu3Mgf/uEfippSJBKhq6uLH/3oR/T19X0olhdffJEXX3wRr9fLe++9B8DPfvYz2tvbF4zFYDCwYcMGXnjhBaFLRSIROjo6eOmll+jt7f3AWquBdd/97nf5yle+wpUrV3j77bcB+Kd/+ic5G5OxBWeQVWkzEAhw+fJl6urqKC4uFp5TKBTiJz/5iZSq1cGoLlX1GdPT09LAoRzE7u5udDodpaWlOJ1ObDYbr7zyykdigXjW+Pr169TV1bFq1Sq54FVnt+IJKlm1xEtElYz8fv8cXu3w8DBms5m8vDweeOABbDabzKX/MBwTExO0tLRQV1cnXf0Qlw26cOGCOKspKfGxquriUqW8aDTK8PDwnAlO4+PjcpmUlZXJhJqPe0bhcJi2tjbOnTvH+vXrJWO8detWOjo6hDZiMpkYHBxkZGRESowqkPH7/QQCAfn5VBZM8ewSL/67WWJ5sLe3l4sXL6LRaKTr/cEHH2R6eppz586h1+txOp3SFGGxWJiZmZEM9ujoqDhkgJT7ZmdnZRTzRzUaKSzT09P4fD6uXLmC2WymsLAQgEcffRSXy8WpU6c4e/YsDoeD7u5uRkdHJTM4NTUlNJ1AIDBnapxyFBVfaz5ZftUR3NTUJEoQal0yMjI4cuQIhw8fFt6gKgUrh1AFPn6/X+gZqhlWBX2Jqi53YlD7XwUGfX19DAwMSGZl8+bNaLVa3nrrLY4ePSryboBkJNV+m52dnfMMbDabUJwSncG7UZUSzwX1b6ampoT6A3En9ytf+Qqvvvoqp0+fRq/Xy4WpHGa9Xs/sbLx5R5X+AMmyqAmEijf9Yc9GYVHZXlXZUZy4zMxMnnjiCSYmJjhz5oxk8lVmR2V59Xo9WVlZ0kAI8YBXUazUGOIP2yt3YgGkmqKwqJJ+c3Mzg4ODosWq+gqU3nxqaipFRUW43e45/E010S2RhjYfLCqoSmzkUvJUqrnoToddJRpcLhfV1dWUlZVJkmR8fJzR0VEp96tAY75YlAqRwqIameD9s0LtFbUuDoeD/Px8du7cSVFRkeznYDAoiQKF/W6VsjspbarfRtFrANGRj0Qicq6qNVEqIE6nk1WrVrFv3z48Ho9Qb9rb2wkEAnPW8cMu+jv7gxR9S/3M8L7jr+gSd2ZIjUYjJSUlHDx4kL1792K32+no6ADg2rVrEmgknh0fZ+pZZWRkSCUD4lTMK1euSBZbmap4GAwGNm3axIsvvsimTZuYmZmRRE19fb2Mvr7z7Pg4LLOzs7hcLsxms+yVwcFB3n33XVpbW+esr8o4G41GHnvsMf74j/+Y3Nxcenp6qKurA+KZUiWTuBAsEA/SXC6XqJdAnCbxy1/+ksuXL39A/lYFuf/6X/9rvvGNbwi96vDhw/K1ilK1UFOsALfbLe9ka2srf//3f8+xY8fmrF9iUuXP/uzP+MpXvsLs7CyHDh3ijTfeAOIVh2S0mBWOoqIiObebm5v5xS9+IU7vnTj0ej0//OEPefHFF4lGo7z77ruyJqOjox95rn2cJa1iobpyf/rTn7Jnzx5xNJSeoUq/w9zxjokWi8Xw+XwSrSsZmbS0NEpKSu4aQd3NZmZm6Orq4uWXX+bhhx+WjvGMjAzJbquDUV3gd2b6lEOoRkZmZ2ej1WrJzc2ltLSUvr6+j41CZmZmGBgY4JVXXmF4eFg0PtPT03G73XR3d0tn+cDAgDhJiZtoZmZGGtMgXuZQ1A232y3SJvNZk5GREX7zm9/M4Rcqp/DWrVs4nU4yMzO5fv26XCKhUEjWZWZmRi4uiDspOp2OtLQ0tmzZwtDQ0EdyFxM/JxgM8t577xEMBuVgcrlclJeXS8aptLSUsbExCRBGR0elHKn4yWpPeTwebDYbJpOJ1atXEwwGP5KOk4glFApx4sQJgsGglIWys7MpLy+X8dt5eXkMDQ1JB6y6MJXDOTExIRdQQUGBZJxVc91H8ecVFvUzqSy64m8p6bb09HRp5PT7/YTDYUwmkzieic6Q4kMXFRUxPDxMSkoKaWlpc2gPd2JIDHwmJyc5c+YMwWBQArvs7Gxp7EoM5iKRiFAPEof8ZGVlSXCamZmJz+eToUDKQfio9VBrMj09zcWLF8nMzJTMirqA1PurDkiV7VfnjWoAq6ioEK1Xi8VCIBDA7/ffdcT9h2FR72ZbW9ucfaloS8PDw3POEeWUK+c4NTWV9PR01q9fL1loNXJ+Pvqtd2KZnZ3F5/Oh1+vlzFDDA/x+v2BRF7VyNNQeysvLY+XKlXMcg4aGBvm5PupivzPTqIIGh8MhDv7ExISslTq3lTOlnEGHw4HH42HlypV4PB752ubmZq5fvy4JhI869+88txW9JfHzxsbGaGxsnEMvU/tXSSaqoLSmpoaMjAypOJw7d04yiep7zGdNjEYjbrdbGmUh7gheuHCBkZGRD9DcdDodFouFFStWsHfvXnbs2CEVIoXD5/N9LI67WWpqKpWVlRQUFMh7pxoo74ZFjed97LHHeOSRR1ixYgWDg4OcP38eiMu3qgz4x2G5M9udkZHBww8/TEFBgXx9f38/p0+fln2rsJhMJiwWC6WlpXzzm99kw4YNpKen09LSwpEjR4C4s67OwI9zRu/EkpOTwxe/+EUKCwvl7PJ6vZw6dQq/3y9/p6q5SlP3e9/7Hrm5uTLo5be//S0QD2KUqtNCsKSkxHXev/71r1NUVCRr0NraKuuisKg71263c/DgQf7oj/5IAu3Lly9L4q6/vz8pffWUlBQqKir4t//235Kfny97t6GhgRMnTjAyMiKfqWQmLRYLzz77LM8//zwmk4nx8XGOHz9OY2MjQNIKYFVVVfzH//gf5wxXunjxIrW1tUJ7AqSxVq/Xc/DgQb72ta9JwH/8+HERalAV6GQVNBY1KERpoer1eml+UV2u6kDU6XRzDsw7TWV14X2NvZUrV8qhrrIAH4clHA7T2tpKXV2dfM3sbHwAiF6vF4mx7u7uOZfsnaacLJWdKywslEyCulw/Csfk5CTd3d00NTWRlZUFIOXgtLQ0CgoKSE9P5/Lly9IkmOggq8stMVOqBhCobO58ypCzs/HmqZ6eHtra2oT7lZWVJbJuikNoNBppamrCaDRKZA7vR/Pq2U1OTtLb24vdbsflcmG32+eNRV3kt2/fFvqImrxTWlrKihUrhO5w4cIFsrOzCYVCMkBFZThUVKkai+x2O7m5uaSnp0sW9eOwTE9PMzQ0xMDAgFyKqnGqpKREGie0Wi0XL16kpKREXr5QKCTZblW6TE9PF1k1s9ks/Lr5YIlGo4yMjODz+SQoKisrky7lrVu3YrFYsFqt3Lhxg+LiYnw+n2S07XY7a9askedrNpvp6+uTIRrzfT6KHtTX1yeHy4oVK6RhtKysjLS0NDo7O0UuTFUgzGYz+fn5bNmyRSgRqpnxypUrws+bb6l6enqavr4+uru75fkUFBTI3nS73dhsNnw+H2NjY7jdbvR6PW63m5KSEtasWcOWLVuE5+v1evnFL35BW1vbgjiUKhjq6ekRxQpAmoumpqYwm80iwzUzMyNapLm5ueJ8rVmzRjJn165d49ChQ9I4shCbnp4WSTZ13ipeaaKuuuLkqQArPz+f6upqGYyjut7Pnz8/h7O4kBK+wqI0WhW+/v5+OfsTKU1WqxWHw8GqVavYsWMHa9euZWJiQqphp06doqurKykJsVgsJgFLYtNtX1+fZM8TsShVpW3btnHw4EE8Hg+9vb3iDN64cYOxsbEPKDJ9lKn3zOfzCQaIc8T7+vowGo1YrVY5v81mM+np6TidTh599FEOHjyI1Wrl4sWLQiNLnEa5kDVRmc/+/n46Ojrk+XR3dwsWlZxR3PzVq1dTVFTEvn37KCkpYXZ2lhMnTggWFSwuVMZMaekODw+LUhHEM68DAwOyZ9XQqpycHB588EEqKyupqqrCbDYTCAT453/+Z8ECyU101el0EjAoyTaAK1euMDw8TGpqKiaTiampKaxWK1VVVTz33HNUVVVJn0xfXx//9//+X6GSqSrTQp1Sg8HAfffdJ02pqr+lrq5O1HpUf0Vubi4PPPAAX/jCFyguLhZ50tbWVn7961/Lfapk5uab2VfP0Ww28/DDD2O325mYmJCE5ZkzZwgEAphMJgoKCpicnGTVqlU8+OCDPPbYY+Tk5Ejy48qVK5w4cUIqyjqdbl7a0Ik4bDYbX/ziF3E6nUQiEVpaWoC47KkaqLNq1SpCoRBbt25l+/bt7N27l6ysLJlGXFtbKwPZFI7FaHcvWgd5fHyc06dPSybx+9//PpFIhFdffZWKigqZ6lJXVzdHvkdluPbt2ydcIJ1Ox+DgID09Pbz66qtCxJ8vllAoxNGjRyUL/J3vfIfHH3+ct99+m+rqagoKCmQyjpIzA2TMZFVVlWTAjEYjt2/f5vr16/zd3/2d6Cl/nKkhCrW1tXL4/4f/8B84cOAAmZmZItG0e/du/s//+T+MjY0Jr0Y1LCqnUVlLSwtdXV388pe/ZGxsbN4PW40sPn36tDhfP/jBD9izZ49wMqenp9m+fTs///nPiUQiEvmpEc+KGwfxZzYwMMDNmzd5880359AvPs5UaVjJ1QH86Z/+qUxoMplMhEIhNmzYIPqfPp+PkZERGRzh8Xgku6kugGPHjnHkyJEFSb0pikJ9fb2Uk9auXYvH46GmpoZdu3YxMTHBrl27+OUvf0leXh61tbX4fD7S0tKkU1ZlN61WK36/n3Pnzkn380KwRCIRbty4wblz5wDYtm0b2dnZ7N27l507d8oEp9dee42cnBwuXbrE+Pg4Op2OTZs28dBDD8k7pNFoGBoaEuH2+TphCkdbW5vw/s1mM5WVlfze7/2eBLljY2O8++67ZGdn09HRIZnj+++/nzVr1khW3efziRLHQmX4UlLi2pUXLlzg4YcfBhBnMxaL0d/fj16vx+/309DQQH5+vuyR0tJSdu/ejdvtFt79hQsXRC8zGXmqoaEhDh8+LJJkpaWlHDx4kHA4TGNjo8hABQIBsrOzKS4uxuPxUFxczI4dO3A4HNKM+/LLL3P79u0Flx+VgzQ0NMTp06dF1i8jI4Mnn3yS2dlZmpqapDkuGo2SmZnJypUrpSKhpsqpy/2nP/0pfr9fnKWFYIH4M25ubpYGaafTyZNPPoler+fWrVtCeUlJiUtIbtmyhbVr14qm+cDAAG+99RYQ5wqq6tVCscRiMVG8UVi0Wi2PPfYYZrOZ9vZ2UlNTJXBIS0vjwIEDbN++HbvdTiAQ4Pz58/zsZz8D4rrmioo3XydMPZ9YLCaOHsTPqf3793P58mVpeNVqtTLh68EHH2Tr1q0y7OXw4cO8/vrrACI3mbjmH/dMErGoEcGJ1Yvdu3fT0tJCW1sbBoOBzMxMtmzZQmVlJStXrqSkpIRQKERLSwtvvPGG9DYkctwXikU5KzabTaoXwWCQXbt24fV66ejowGAwUFRUJHrjubm5Mi1TabvfunULYEE6/HdiUfQ3g8EgCZk1a9awc+dOhoeHuX37tgQMNTU1cj8Fg0Fu3LjBT3/6U86dOyeiBAvJkt65bkpByul0SiVz165d9Pb2ygCOwsJC1q1bR3FxMbm5uSKre/78ef76r/+a9vZ2ScbM1zlOxKJoCpFIhHA4jMFgkCTU3r17GR8fZ2pqSqpPq1atIjMzE7fbLXrax44d44c//CEjIyNSrVTvwnxMBZeqMqZ0pdVdcuDAAfm87du3s2bNGoqKimSirUrQHjp0iO9+97tzsugLDbbvtEU5yEpOBJDN63A4eOihh8jJycHr9dLY2Iheryc3N5fU1FQ6OjqwWCw88cQT1NTUUFNTI1nb06dP88477yQ1bUrpbSZiuX79Og6HgxdeeIGRkRHq6+ux2WwUFhaSkZHBpUuXsFqtfO5zn6OkpIQ9e/bIZ5w8eZJ/+qd/orOzU+gQ87FYLCaHmpIze/nll3E4HGzZsoWZmRmuXbuGw+GgtLSUzMxMfvvb32K1Wtm3bx+pqals375dMk7nz5/ntdde4/bt2wuWYkrMTjc3NwPwP//n/yQ/P59t27ZJJspgMOBwOMjJyaGzsxOdTsfOnTsxGo1s3bpVJOfq6+tlZPZCpZgAubjVFKm/+qu/El1YlRFUWViXy0V2djaFhYVs3boVq9XK2rVrZV0aGho4dOgQV69eTWr0qQrWlAKAyWSipqaGLVu2yGCVQCCA3W6Xl9XtdrNx40YpEauX8PTp07z11ls0NjYmNeRA0Q8U395kMrFv3z7KyspErxWQYTaZmZnk5OSwZs0aSkpKKC8vl71x5MgR3n77bZHPm6+py2NmZoaXX34ZiFcbdu3aRVFRkYxdVXtCZSqNRiPl5eU4nU6MRqM4gq+//npS3d0Qf4fC4TBer5cf//jHQNxZLy0tZdu2bZLp9ng85OTkCIXCYrGQnZ0tg2dUue/VV19NqrMb4ufK2NgYdXV1/MM//AMAL774ItnZ2Tz22GOUlZUxPDwsF4PNZpNhP2lpaYyOjjI4OCicuAsXLiR9YKss/8mTJ4VG9sADD0gDVGVlJT6fT/jQbrebVatWUVhYiE6n4/bt2zQ3N/P3f//3AFLKT6YxTmXhLl68KIFDQUEBGzduJBaLsXXrVlEUUuOuN23aREFBjK3FVwAAIABJREFUAZFIhKamJg4dOiTO4NDQ0LyrY3fD4vP5PjAcR+Has2ePjNSemJhgy5YtbN26FZvNRl9fHydOnODVV1/l1KlTwPuDKBaKJZHnrKTaDAYDu3btwmKxcP/999Pb2yvUv5qaGtFeb25u5ujRo3McwUTlk4Wa4uIrmg/EA5qamhp5r0dHR9mzZ4+8R0qN5tKlS/zjP/4jp06dkuxkIpVqoRaNRqUhVGExGAxs376dwcFB9u/fTzAY5KGHHhJO7tjYGAMDAxw+fJi/+7u/w+v1yp2T6Nwt1NQ5oIIHiDtmSooxOzubSCTCunXr0Ol0WK1W2tvb6e/v57e//S2HDh1KasjP3WxwcFDOR+WUGo1GNm/ezMzMDIWFhUxNTVFRUSHysCdPnuTSpUvU1tZy8eLFpCfVJfKlY7EYN2/eJBgMzpF1dTgcbNu2DY1Gw6pVq4hEImRnZxONRgkEAtTV1fHOO+9w5MgROjo6ktKYT+TWR/4f9t47OO76zv9/bC9a7a52pVUvVpdluck2LhiM7YABY3oCCRAg3CV3yZDLcbnLzU2+M8nMJZObu5RJSLtLQkggEAgBjMEFF9xk2RaWJdmqVrF6W+1qm1YraX9/6N5vVsI22pUM/G70msnEyJb03M/nXV7l+Xq+xsc5fPgwt956KxkZGTKAcTgcbN68GaVSKX0oMX5djCb/05/+xNmzZ2UgNx+nONLm5SBHXjhiE4vsYHl5ORUVFRQUFLBu3TqampqwWq0cP36c7u5uyTlVq9WcPXsWgBdffJH29vYZ+sRztch/L16+kAgrKyvjrbfeklkMocRgMpnkAbBy5Up0Op0kgr/yyit0dnZGlbGdjUNYc3Oz5MhVVVXJpsapqSlsNhs+n4+BgQGUSiUbNmzAZDLJS+zYsWMMDg7GtCEjDxLx5/Pnz8shB5cvXyYrK0t2LCcmJrJmzRoGBwflNCiFQsFzzz0HTJeixKaO1SKzMlVVVdTX10u6Q1ZWFqWlpVitVrkpxWSgdevWEQgEZJanqqqK7u7ua/KO54JFOJFHjx7lwoULciyvkOFzOByEQiEyMzMlzzAvLw+fz8fbb78NTDvItbW1M/jb0ZjI9ojP8te//pW6ujqefPJJqVkt9DdHR0cpKSmRNA+73U5nZyd//vOfgelyVHNzc8xT2sLhsMyOPPvss9TU1PC3f/u3jI6OMj4+jtlsZuXKlfT398u593FxcRiNRmpqavjTn/4ETJcKBwYGYhLxF+XTiYkJLly4AEwHdlu3buWBBx6QXFIhJTc8PIzf70ev18spkGfPnpWO/oULF/B6vTE3rwguvnjfcXFxbNq0iZUrV1JQUCCDftEsKqTW/H4/HR0dHD9+nBdeeAFAylnF6qwHAgF6enp46aWXgGmuaXFxMTfccAOrV6+WKh8Gg0HyXBUKBX19fbS0tPDqq69KKoGYzhnLmg2FQoyMjHDu3Dn27NkDwGc/+1msVis333yzrGQIvWyz2SwVeFpaWjh8+DCvv/66PH8j5aOitWAwSFtbG2+//baspKxZs0ZWYSwWCy6XC7VazcjICOnp6VKxpbKykjfffFPK00ViiPayF8pOhYWFsicnKSlJ9nqI4VSZmZkAUue7sbGR1157jT179tDU1PShKkcsHfiimlpeXi4zyDk5OaSlpZGdnS3fS2FhoWzia21tZd++fezdu1eW+mf/7mjXbTgcZmRkhAMHDpCfny/l/US2emBgQFL7xHMJh8M0Nzfzl7/8hX379sk5AbPXRiyBt2gOTE1NJed/JycKLE6nk7y8PBkctbW14XQ62bNnD3v37qW5uRmPx7MgzpdoyO/r68Nms0k6ptA1Hh0dJTc3Vw4yq6mpkdnayspKKZcaK5bI7xOzKoS0qnDWBQNgdHSUzMxMmWHv7u6mq6uL06dPc/LkyRmc9lhwiHM5EAjgcrlwuVyYTCZJkSspKWHJkiW4XC5SU1O5dOkSb775JgqFgqamJg4ePCglQRfKMRYWfWi6aIu2aIu2aIu2aIu2aIv2f9jmTbEQHcqipPTuu++SnJzMtm3bZHe52+0mNzeXFStWkJubSygUkuLovb29svzY1dUlObCxYhHZE0BOjiotLSUQCKDRaLh48SJWq1VOfRHNX1lZWQwPD8sym8gkRhu9CxyCawZITdCGhgYGBweJj4/n8OHDmEwmybsSo2BLSkro6OiQ2oaiKSeWCE1g0Wq18vtFGb2pqYnR0VFUKhX79u0jNTUVs9nM6tWrMRgMpKWlUVxcLCeGwXQZNBYKASAbxgQvUWCZmpqSnFqv10t7ezspKSmkpKSQlZVFUlISeXl5pKSk8M4778hGDTEmfD5YIhsQxfCTAwcO4PF4KCwsRK/Xk5ycLOW68vLySE9PR61W8+abb8rMWU9PT8wlfIElcliD2+2WHMChoSFKSkpk057oOE5LS5Nl7jfeeINDhw7J5xLtGHD4YK3ABxmrvr4+KisrycnJYWBggLS0NCwWC0uWLEGr1ZKVlYXJZKKnp4fjx4+zf/9+uVbE6OxY3k8k11FkwhsbGzEajZSUlMhssVKplNrTQnawoaGBU6dOUVlZKXsAhAzTfLAEg0HZSLN3716USiVZWVly6IcoDev1eqmFfu7cOd5//32amppkVl4088ViQiLM6/VKHvFrr73Grl27sFqtTE1NER8fj9FoRKfTEQwGGR4e5vz581RVVVFVVUVnZ6d8prFmj8VzESpE+/fvB6Yz65s3byY3Nxe1Wo3NZpMZfSHTdejQIaqqqmhoaJDymxBb5liYeLeNjY2SphQIBCgrKyMhIQGz2Swbm/x+P729vXR2drJ7926qq6tpa2ubd2ZQUJRcLhdHjx6VDbwrV64kOzsbq9UqKy0Gg0EqflRVVfG73/1OTvyKpeJyJSxjY2O0t7dz4MABOYHOarWSlJQkKz/BYJDx8XHJwf71r3/N6dOn5UCmWNfpbCw+n09KsEZOK3Q4HBiNRhITE+nr65M62ocOHWL//v1yhkGs58iVsIyMjHDy5EmSk5NnVApSUlJkw7FQvHnxxRc5efKkbHScS9PZXG1qanqs9blz52RPDExn/tPS0uTY6vr6et577z12794t9eh9Pl/M59nVsLjdbi5dukQgEJihay6UIoaGhtizZ4+s+vb09Ej1o/num0gcgUBAVgwE1cPlckkcDQ0N/PrXv6alpYXR0VH6+/tnSL4utCmibJ654j8WOpQwPVrTZDKRlpaGy+UiMTGR3t5eAoEA+fn5+P1+BgcHCYVCbN26lYmJCZ599lngg0lYkWOkAcLh8IfIRtfCIlLzFotFDvqAafksMeqztLSU7OxsRkZGcLvd3H777XR1dfGTn/wE+ODQnd2UMBvLtXBEDveIlGwpKCiQG27ZsmWsX78et9vN0NAQmzZtorKyUpbMI7lf18JxLSxX4moJ511MzjMYDKxevZr169czPj6Ox+OhqKiI1157TQYNkdJNC4VFBFiAfE9xcXGsWrWK5cuXSzUOs9nMSy+9JHmT15BeigpLJB7hNAt+Wjgclp33OTk5sinV7/dz8OBB2fi40FgidWPFcAiYHn9eWFiI2WzG4/HQ2NhIb2+vlBr63985JyxzwSHGOMfHx2O1WikqKkKn01FcXIzJZKK/v59Lly5x8eJFSXOYwwVfFQ6H18wVS+Ta0Gq12O12MjIyWLVqlZQ/DIVCnD59muPHj9Pe3i4d4o+64KN9P4L/bjabMZlMsoGmoKAAu91OWloaPT097NmzR8oSRU4qW0gsYq+kpKSQnp7OkiVLKCkpITU1Vcq7Xb58mcOHD1NRUSEVQOZywUeDRcjqwXR5uLS0lLy8PAoKCkhISJAa85cuXeLAgQPU1NREpVQRDZbIxqsVK1awYcMG8vPzSUtLQ6vVMjw8TH19PfX19Zw7d476+vqonK+57CGhgCPK9xs2bGDLli1kZWVJ5Zm+vj7q6uqoq6ujv7+fmpqaaPsF5vRMBA9dDFxYvXo1K1asIDExkUAggMfjobm5mdraWo4dOyaTFFFSCj8Si9g7ubm53HjjjcD0bIAlS5agVqvlM6itrZ0RTEZLiZoLFqVSidFoZMWKFVLvPSUlhezsbBnsVlRUsHv3bqkrHE2zZjRY1Go1drud1atXSw18g8FAeno6fr+flpYWKisrqa2tlet0Lk2SsWDR6XRkZmZSVlYm5TGDwSBWq5WBgQHOnDlDX18fPT098+L4ftQeMhqN8hwRTfCCftrS0iKpjNEIBMwFx9VsQRzkSIvMhIkRtn6/X068ihylKeTPRGZGfF38DLEwozkkr4Edo9EoeXeRJH3ReSxUNK72ef73UJ+To3EtMxgMMvISXdVCjkT8HiHjFIkj1qDhWha54cSs+UjSvNANvtr3LCQW8azD4bCc2iacHOFozHbArhcWkV0Oh8NSLF48fxHIfdQBvlBYxJjnqakp6bTOdrw+ah/Pd90qFArMZrNsFhHrMYZMxpwd5KuZyBwLKUbxLq7HhXolm71nMjMz5TAb0XAZbfYtViyRe0ZcroIfPDY2FpMGaLRYIgMqcXlarVaSk5PlIBuB5Xpc7lfCIqYGhsNhUlJS5ITShcRyLRyRg2HEehEc2/7+frxer6ygXc9nEhnYCSwqlUpq74qsYbQjpGPBEpm8EtJ7QqdbSDtOTk7GnLmeKxaRCBFYxPAgIQ8rGrQX2gG7UuAgfr94RyJBo9VqZYNrLBX1WLAoFArZxyG+JhKWc006RItlNg4xJMhgMMxoThV3rggU5pvJ/8Qc5Dn+HDltaS4H1UI5GlcyIZQ+1zT9QjjIs00sTrVaPWfNy+v1TMSmFSoFC51xigWL+PMniWU2poXOfkXz+xfiIvukcLAADvLsd7BQzyRWLJFr85PEEjlGeT62EFhUKtV1u8hiwQKxNbtdC0s0OCKrIbE0i14LRzRYIu+acDj2CWPzxSL2sHgusWgJzxfLlaqZEUm5TxSL+NpCUDrmg2W+Z+xHYYkWx0LZXB3keXGQYzW1Wk16ejptbW3XhTcSjYmSmBhJ+EnY7EX4ST4T8btjEWK/Xlhm//mTtE8axyf9+4V9Gtbo1f7747TZ+/WTxPJJ79dIWwj+6kLZpwXLfB3jhTCxPueblVwoHMC8nfSFwHCl//447Uq/+5P2Rz7qa58Ejo/bPhEHORQK0d7e/qk4uCYnJ2eMI/2kLPy/XNtPi33Sz2PRFm3RFu3/in0aLnthi1gWbdHmZtE6yENAx0L84iii6ezrjSUKZ/BKWBYMRxR23Z9JFLaI5cr2acfySeCATw+WT/v7gUUsn3YsnxYcsIhlEcuV7dOO5dOC44oWFQd50RZt0RZt0RZt0RZt0Rbt/7otDgpZtEVbtEVbtEVbtEVbtEWLsEUHedEWbdEWbdEWbdEWbdEWLcIWHeRFW7RFW7RFW7RFW7RFW7QIW3SQF23RFm3RFm3RFm3RFm3RIiwqFYuFHLgQjV3v4Q/zwfJpwbGIZRFLNFg+KRzAUDgcTvo0YPk0v59FLJ9+LJ8WHItYFrH8/xXLpwXH1WzBM8hitKXVal3oHx0TFpVKJUdKX+vffRw4DAbDNf+NGPF4vU1MD7wajmv9/fXAIiZMXenvxHSjj8PEZ7+SqVQqiefjMvHZZ/9OlUol8XycWGb/PoHjau/vKjZvSZ/IqWSR/61SqT62dRv5u9Vq9Yx3JXDo9fqPdb3AB6NaxftSq9VotVri4+M/1vUCH56EKZ6LxWKJds0sOC6BJy4u7hPDEvmedDrdJ/5MxP+LccefNBbx5497Dy3aoglbcI9Mq9VKB3l0dPSqGsNKpfK6D6MQWBITEwkEAvL3zZa2U6lU13XKkZi1bjab6e3tveIEHxFYXO9pS1qtVjqlswe1RE7002q1cxoDPh8TjoVSqZTPIBKHwKJSqa77tKUrORbhcHjGMxJ/f72xROLQaDQYDAbGx8evOP1KzKi/nlgEjoSEBAKBAOPj4x8arXy1vbXQJrDYbDaCwSCTk5NyTHzkqOWFGHP8USacCZvNRigUkut0cnJSvsPJyckFGaM7F1OpVNhsNsLhMHq9nlAoJPewXq8nHA4zNjb2sUx0UyqVGI1G+V7E/lIqlSQkJKDT6RgZGflYpqhFjlaOdAAVCgXx8fHEx8czNDT0sT2XSBwajYZwOCwd5JGRkY99gFZk8BIOh9FqtahUKtxu98c+MEqsEXGuqNVq1Gr1jPv748YD0+eaWMfX+16cq4m19GnAslCjqBfa5otrwRxkkf0sKSlhYmKC1NRUduzYwYoVK+jo6ODs2bOcOnUKn8+HWq3GaDTidrsX6tdfEcvGjRsJh8M4HA7uvfdeVq9eTUNDAydPnuTMmTP4/X60Wi0Wi4WBgYEFf8Eim3XXXXfJ0c16vZ7NmzfT3NxMdXU1Z8+exe/3YzAYsNvtdHZ2XpeDQGBZvXo1ML254uLiuPXWW2ltbaWhoYGqqir8fj9xcXEkJCTQ2dl5XQ5rgSU3Nxe1Wo3BYMBqtbJx40aampro7e2ltraWsbExdDodBoOBgYEBJicnr9s7SkxMRKvVkpCQgMViYeXKlbS1tTE+Pk5DQwN+v19eJENDQ0xOTi74sxHrNi4uDrVaTWJiIgkJCSxfvpy2tjaUSiW9vb2Mj4/j9XoJhUKMjo7OmMI43+cTmSlWq9WoVCqsVisOh4MNGzbQ3t7O1NSUdChcLhd+v19eaoFAAFiYSYyR2SOBy2w2k5KSQllZGb29vSiVSkZHRwkGg3i9XgKBgPwegWUh3lMkFnFZxsXFYbPZKCsrw+v1YjKZ8Pv9TExM4Ha7cTqdcs2OjY0tKBZhwtnS6/XEx8dTWFhIfHw8RUVFaDQaRkZG6Ovro7W1lfHx8RnvaCH202wsgMyeJyUlYTQaycvLIyEhAbfbzfj4OD6fD5fLhUKhwOPxADA2NjbvNRP5jsTPEk6oOEeys7NJSkrC7Xbj9/tRqVTo9Xo0Gg0ulwsAv98/r/cUuYdEsBZZgdJoNCQnJ7Ns2TLMZjPDw8MMDg5is9loaGhgZGRkQXBE4oEP3k9kJUytVpOQkMDKlSspKSnB6XTS3t6OxWLh/fffl1iul4MauX5E4CvW8ODgIG63m+TkZJqamhgdHQUWZq18lImsvtlsZnx8nMnJSbRaLTk5OXR0dODz+YDpkd3XO7AS945arZa/y2AwkJ6eTm9vrzz7JycnP7aAU6xvhUKBxWIhISGB7u5uiU+hUHws48yVSqUMXBwOBwB9fX1yravVann2xmIL5iAbjUYAnnnmGVpbWxkaGqKjo4NVq1axbds2lixZglKppKqqisnJSSwWi7zcF9oEpeLf/u3f6O7upre3F5fLhcPhIC0tjaysLABqamoIh8MkJCQwODi44Fji4+MB+Md//Ed6enpoa2vD7/ezbNkycnNzKS4uJhQKceHCBZRKJVarla6urgXFICwuLg6Af/7nf8bpdDI4OIhWq2XLli2sWrWKnp4eQqEQDQ0NKJVKEhMT6erqui6RoXg/3/jGNwiHw4yPjxMfH09ZWRl9fX24XC5eeeUVmpqa8Pl82O12nE4n8IGDsVCYBO3l8ccfJzk5mbi4OLRaLVlZWQwPD6PRaNi7dy+tra10dXVhMpmkcxrplC4EHp1OB8BnPvMZli1bRnp6OlarlZSUFAYGBlCr1Zw7dw6Xy8X777+P3++no6ODqakpeTDN1+kRWRuAJUuWUFJSQnFxMUuWLGHVqlVyLzU3NzMxMcHZs2fp7++nt7cXhUKx4M9EHMQajQa73c6KFSvYvn07K1euZHh4mIGBAfr6+vD5fNTW1tLV1cXExAQajWYGloVy2IXpdDoKCwu566672Lp1K+Pj4/T09BAIBPD7/Zw/f55z587JhEDkxTVf5yvy/4WznpyczObNm/nsZz+LzWZjamoKs9nMyMgIFy9eZPfu3YyNjTE+Pi6xzLcacqXSt8jKFhQUcO+995KcnExKSgoJCQk4nU4UCgVNTU3U1tZSW1tLU1MTMP1MxPtaSCw6nY6kpCQ2bNhAQUEBZWVl6PV6Ojs7sdvtMug8duwYlZWVEksgEIhp/c52RiOdUrPZTEFBAStWrGDDhg2kpqbi8/mwWq0y6D1y5AiHDx8GoL29Hb/fv+Dnr8gSW61WkpOTWbp0KbfddhsZGRnodDqcTidarZZTp07xzjvvAHDx4kV8Pt91wSKqDVarldLSUrZu3UpmZiahUAi/309aWhoNDQ3s3bsXgDNnzuD1ehcUR6SJoMput1NaWkphYSEmkwmz2UxJSQn19fW8++67Eotw3K+naTQajEYj+fn5pKamkpGRQXl5OY2NjZw5cwaAc+fOyXvyeptCoaC4uBibzUZOTg7FxcU0NjbS0NAAQGtrK4ODg9cdx9TUFKmpqahUKjIyMsjOzsblctHZ2QnA4ODgJ+sgi0No165dAGzfvp2RkRH27NlDU1MTHo8Hp9OJ0Wjk0UcfpbS0lIGBAQYGBujq6pIRtvhZ89mAAsu9994LTGdLi4qKOHr0KH19fQQCAXQ6HSkpKTz55JMcOXIEp9PJ2NgYly5dAvhQ6Xg+OO677z4AiouLycnJwWQycenSJbRaLQD5+fk88cQTvPXWWwQCATQaDfX19TOcC4VCMa/LXdAlbr31VgA2bNjAxMQEXV1dDA0NER8fL3mBX/ziF9m9ezeTk5MkJCRQX18vo2dh83U0tFotN9xwAwA33XQTcXFx+Hw+3G43CQkJaLVasrOziYuL47333sPr9aLVarl8+bK84GH6wplvhKpWqyksLARg69atFBUVMTk5yfDwMEajEYPBgMFg4I477qCxsZHh4WGUSiU9PT14PB75LJRKpczKxWoqlYqUlBQAdu7cyS233IJSqcTn82E0GtHr9ZJe4PP5yMvLw+Vy8fLLL8sLTWCZz0UmMqMAt99+Ow8++KDkrzocDolBlKltNhsDAwMcOHBAZpPFz/F6vfNeu4KXmZ6ezo4dO9i8eTNFRUVkZGTQ3d0NgNVqJRQKYTAYyMrKorq6Gr/fLw9GhUIx73Lx7ExXRkYGX/rSl7jttttIS0tjeHgYv98vsfh8PpRKJXq9XtJSYPo9u1yumLJOs51j8fOsVisPPPAAn/vc58jPzycUCtHa2iq5xw6HgzVr1mCxWOjp6ZmR5RkeHo5pHwkMoswr/qzT6di4cSOPPvooy5Ytw2QyMTo6KqlCer0ek8lEUlISBoNBZuK8Xi/9/f0x7aNILMI0Gg0ajYaioiIeeOABVq1aRVFRETqdjqGhIZKTk0lPT0er1TIwMIBGo5GOTnd3N5cvX47a8Zld7RA4VCoVqamp3Hjjjdx8881s2rQJm81GZ2cnKSkppKWlodfrcblcGAwGGSjEx8fT3NzM8PBwzM8k8s+C5mI0GsnMzKSgoIBNmzZx4403Suqd1WolOzubiYkJkpKSZLAcHx9PbW0tAwMDMWGJvM9mYzKZTGzcuJF169axc+dO7HY7Ho8Hg8EgaXilpaVkZGQAYLFYqKyspLe3d15YZn9NvLeMjAySk5N56qmnuPHGG1Gr1ej1emA6eCovL2fFihUAPP/88xw7dkyeRfPFMttE5njdunV8/vOfp7i4mNTUVOLi4ggGg7ICDPDyyy/z1ltv0d7efl2wCDMYDNx0000888wzOBwOjEYjoVAInU4nHdN33nmH119/ncbGxuuGQ6FQkJiYyOc//3nMZjP5+fnExcWRk5Mj18apU6d45ZVXqKuriwqHsHk5yAqFApPJxFNPPcV3v/tdAHw+Hx6Ph6qqKgYHB+nu7kalUsmIsKenRzp9KpVqxqU1X+fYYDDw5S9/mX//938HkFm+M2fOcP78eex2O2lpaeTl5aHRaAiFQlitVpmdW6gsk1ar5Stf+Qrf//73gWmncmxsjAsXLnDmzBkmJydJTU0lNzdXHkrikjUajfh8PnmJzTdiV6vVPPzwwzz77LMSi8fjoa6ujvPnzzMyMoLdbic3N5fS0lJqa2slf9xutzM8PDxv50+YSqVi3bp1/OEPfwBAr9fj9XqpqKjg/PnzFBQUkJiYSElJCQUFBXR3d2Mymejt7SUrK4vu7m55mU9NTc07iElPT+e3v/0tMB2sTE5OcuLECU6fPk1ycrLMamdnZzM+Pk5hYSE9PT0sW7aMxsZGenp6JJb5cOrFpfXNb34TgIcffhitVsv777/PmTNnZCNRSUkJqampuN1ukpKS6O3tZf369bz//vuyVD05OYlSqYw5S6lSqWQA8/Wvf52UlBSampqoqanBaDQSCARISkoiNTWVcDhMSkoKg4ODGAwGTpw4ITM7wWDwQ/s7FrNYLMB0FeaWW27B7/fj8Xhoa2tjbGyMhIQEgsEgarWazMxMXC4XmzZt4ujRo7z33nsAuN3uGRnlWCwcDks6TllZGQ8//DArV66UNIbR0VF0Op0MaG644QZWrlzJQw89xKFDh9i3bx8wXf4T/P5YMAgTjkt6ejq7du1i165d5OTkMDU1hdvtpr+/n66uLgwGA0lJSdx666088MADHDlyRGYFW1pa8Pv9MTnIAos4xwESEhJYt24dTz/9NMuXL5f8+KGhIcnNTk1NJTk5mby8POLj4+XnqKiowO/3x3TWXAlLUlISubm5PProo+zcuROj0YhWq6W9vZ3R0VFGR0cxmUykpKSQl5fH+Pi4/N49e/bg8XiidpCvdBZZLBYSExPZuHEjjzzyCMXFxVitVlwuF5OTk/T39wOQlZVFYmIiBQUF3HPPPcC0wz8yMhKTgxyJRTjrBoMBnU5HRkYG9913H+Xl5ZSXlxMKhRgbG2NoaAiYrjYmJiaiUqnYsWMHgKRVxeIgz+4pgQ/6T4xGI6WlpTz00EPceuutGI1GSUkSlTG73U4wGJTnks/no6+vLyYH+UpYBDVHrVZjsVjYtWsXX/ziFykoKJB7emJiAo/Hg9FoRKPRsGrVqhnUgshXAAAgAElEQVRYYnGQr7ReIp11kRW99957efzxx8nOzkalUhEOh2UFWK/XU1paCsCDDz5Ie3t7TA7yXO5RQZvatWsXDz74IKtXr0alUtHb24vJZEKr1UosBoOB9vb2qB3kueAQFK709HRuueUWHnvsMcxmM5cvX8ZsNhMfH4/dbgfAbrfT2toas4O8qIO8aIu2aIu2aIu2aIu2aIsWYfPKIGu1Wn70ox/xyCOPSP5ke3s7R44c4ezZs4yOjnLixAkOHjyIXq9nYmKC+Ph4gsEger0ei8WCz+ebkdmJpFxEYyqVim9+85t861vfkuWQ4eFhzp49y7vvvsvQ0BA+n4+xsTFZrk5MTJTk+7S0NJxOp8yACQWDaLEoFAruu+8+vvvd787AcfHiRV599VW6u7u5dOmSxBEXF0dmZqbkoi1fvpz29nYZqYsoOpZMnEKhYOnSpXzve9+THPHBwUHq6ur4/e9/T19fH2fOnCEQCGAwGEhMTKS4uJipqSkcDge33XYbVVVVtLS0ANMZ+dmUi2jMYrHwr//6r1IC0Ov10tXVxR//+Efa29sxmUwSS2ZmJqtXr0atVpOUlMTDDz/MsWPHOH36NDDdNBIIBGJukNBoNNx3331kZ2fLr7lcLv70pz9RX1+PUqmU76i4uJi1a9dis9mw2WySnrNnzx5gOkPp8/nmRfnIzs6WGRKVSkUwGOTtt9/m1KlTjIyM4Pf7MRqNLF++nBtuuAGbzYbZbOaJJ56goKCAF154AYDe3t6YGwhFRWjDhg3AdFk1HA5z7tw5Dh8+THNzs8yQLl++nPXr15OUlITFYuFzn/scxcXFPPfccwDU1dURCoXmxXFVqVTk5uYCsHnzZtLT06mtraWuro6amhq5XzMzM1m/fj0pKSnYbDbWrl1Lfn6+PJP2798vm/fmU3EQ1JMvfOEL7Ny5k7GxMXp7ezl79iwNDQ309fVhNpslv9RsNlNYWEhKSgpmsxmAl156Ca/XO28sgjsvMihJSUmMj49z8uRJqqur6ezsRKVSsXr1apKSkrDb7WRlZXHbbbfJrPxzzz0necHzwSLoPenp6Xzxi19k1apV6PV6KisraWlp4fz580xNTbF06VJ6enpk1rawsFC+I5fLRVdX17zVjUSWX61Ws3nzZrZv305qairt7e10dHRQUVGB2+0mJyeH7u5uUlJSWLJkCTabjfXr1wPgdDppbGy8otLPXEw05cH0+V1YWMjOnTtZsWIF4+Pj1NfXc+7cOTo6OnA4HDQ0NJCcnExGRgZJSUmyR2bDhg1UVVXFjENYZONiWloa999/P4888gh2ux2FQiGzjkajkZaWFgKBgMQi1vy6des4fvw4arV6QZo7w+EwJpOJdevW8cwzz7BixQri4+MJBAJ0dXUxNjZGT08Pw8PDOBwO2ZwLsGrVKvLy8qiqqlowRQmNRkNmZiZf/vKX2blzJ9nZ2ajVaslnvXz5MvX19VgsFgoLC8nJyQFg2bJllJaWUlFRQSgUmnfFLLIBeP369Tz99NNs3LiR+Ph4/H6/bFY8deoUJpOJ/Px88vLygOn9V1JSwsGDB+d1T8820TD+hS98gdtuu43S0lICgQBnz54lISGBuro6KScpsNjtdkpKSjCZTAumnCPO4DvvvJNly5axefNmAoEAp06dYtWqVbhcLrxeL9XV1fL9JCUlkZ+fj9lsnkHRnPNnnw9gtVpNamqqPCABenp62L17N/39/YTDYVk2E46eQqHA5/NhMpkwGo1MTEzIFymc41gWvJAPitQS7u/v58UXX5TKEJFYlEolLpeLQCBAfHw8JpNphpSWcEpjcZBNJtMMHE6nkz/+8Y/U19czNTVFfHy8LCFNTU1JIrnNZpOd8YKbNzY2FvNCFw0z4hKCaaf0lVde4eLFi0xNTWE0GiVv1Ov10tPTQzgcJjk5Gb1eL6kfAKOjozPeVyxY0tPT5bMZGxvjtdde4/Tp04RCIbKysmZwEru6uujv78fhcBAXF0deXp4sqwk1h1g3nsFgYNOmTdJxGR0dZe/evezfv59gMEhWVpYMljwej+RsJyUlkZmZybJlyyTfqqGhgWAwGLPkmkaj4a677mL58uXA9D6orq7mpZdeYmRkBIfDId+Rz+ejq6uLkZERbDYbDoeDFStWSB5aRUWFPAiixaJUKrntttv42te+Bkw7qO3t7fzhD3+QAYxoGhKlRY/HQ3x8PFlZWZSVlbF9+3YAqRIQKQkXjSkUCvLy8vj5z38OQE5ODqFQiKNHj0qnoaWlBa/Xy/j4OElJSbhcLux2O4WFhRQWFkrefUtLi1S6iHUvxcXF8e1vfxtAlvQqKiqkY3z+/Hn6+vpISEggLi6O/v5+0tPTKSoqIicnh61btwJQXV3N0NAQgUAg5uBBo9Fw//33A/BP//RPFBUVMTQ0RGdnJ93d3dTV1dHe3o7BYCAUCpGYmEheXh4ZGRnY7XaWLVsGTCsOXb58+UNJimhMqVTKdfv3f//33H777Wg0GjweD/39/dTV1XHu3DnUajUDAwOYzWbJTc7IyCA1NRWYdnpE0CPWerSmUChITk4GYNu2bTzyyCNkZmYSDodxOp3U1dVRUVHBxMQETU1N6HQ6ib20tFQG7qtWreLw4cP09vbGrLQkkiP5+fnce++9bNq0CYvFQnd3N+3t7Zw4cQKfz8f58+clxzYYDGI2m2V5eNmyZRQUFNDW1obT6ZxXXwFMc/U3bNjAAw88ICmPQ0NDnDx5ku7ubjo7O/F4PFitVkZGRrjhhhukMkBeXh4rVqzg4sWLkloWiwlnXSSlvvSlL7Fu3ToZ8HV1dXHq1CkOHz7M4OAgKpWKoqIiNm/eTGZmJgApKSmsWbOGyspKWltb5+0gC4f0oYcekk2uBoNBnvvPP/88Fy9exO12S8dZBDFWq5W1a9dy4sQJ6urqFkSJRa1Ws3r1ar72ta9RVlYmm249Hg+HDh2ip6eH+vp67HY7fr9f7iGHw8HatWtZu3Ytp06dWhAHWalUkp6ezhNPPMG2bdsoLy9HoVDQ2dlJVVUVarWa8+fPS2lf0YBvNpulQMP+/fsXxEGOj4/nzjvvZNeuXdx4443o9XouX77M0aNHCQQCNDc3Ew6HcbvdrFu3DpgOMsvKyrj77rt5/fXXP14HeWJigoGBgRk6n8eOHWNoaAiVSoVWq8VoNMpmFcHzEtG1wWCY8b3BYDDmBzk1NUVjY6PU/gTkxhdDOiKxCIdd8BdFo5p4gEKpIFoTXdput1t+rurqainTNRuHkKny+XyS6C50m2F+XZjiZwuONUBTU5PkBZlMJnkwGQwGJicn6e3tZWxsDJfLJbucBRevra0t5u5hwe8KhUKSL9vS0sLJkycJhULExcXNwDI2NkZTUxMTExMkJiaSkZFBSkqKvNyDwWBM3DyBJTMzk8zMTPmcW1paePHFF2UGW1xwgiddU1PD1NQUKSkp+P1+cnJyZKbV4/HQ3d0dc+UjkncI0x3AP/vZzyS3V2T/jUajVLBQKpUkJSWhUCgoLCzkpptuAqarFZcvX44ah1KpJC8vj69+9asyaGhtbeWFF16gpaVF7mWhqet2u6mqqiIcDmOz2bBYLJSWllJeXg5Ac3MzbW1tUeOADxydp59+mqKiImA6mKqurmb//v1ynwjHzul0cubMGXQ6nVSqKS0tldmMNWvW0NjYGFOHt5Ax2rVrFw8//DCAzEacOXOGrq4uhoeHcblcBINBPB4P1dXVGI1G0tPTyczMZPny5dLRWLt2LdXV1ZJ7Gi0Wg8FAYWEhjz32GDCdNVKpVHR2dlJbW0tzczODg4MEAgEmJydpaGhAr9fjdDqx2+2sWbNGvt/y8nLOnDkjA71oTSgh3H333QDccMMNmEwm+vv7aW9vp6GhgY6ODrxer8zG6fV6JicnpexZUtL0UMWioiIcDgcXLlyICYuQaxPc0A0bNlBYWCi5s0eOHKGqqoqBgQEUCgVerxe9Xi8rm3q9Xq61zMxMcnJyOHHiRNQ4RKOXcFrKy8u5++67sVgsTE5OcvToUY4fP05jYyNqtZqRkRH0ej1Wq5VgMIhOp5OXu9VqJS8vL+aqqsAjnJbCwkL+4R/+gby8PFQqFadPn+bIkSMcPXqUqakpWbVMSkpidHQUrVYrnXWTyUR2dvaCNGkDpKam8p3vfIetW7diNptlcPfqq69y8eJFmpubCYVCMqus1Wqlgyx47DC/Hh3hh5jNZr785S/z+OOPk56eztDQEC6Xi6qqKo4fP857770n31NzczM6nU5mKAsLC7Hb7fPutxBBjGhyffrpp7nxxhsZHR2VUo0HDx5k//79uN1ulEolfX19DAwMyMz6unXrsFqtaLXaBemnUqvV5OTk8PWvf5377ruPsbExQqEQAwMDVFZWcurUKamK09PTI9VIYLpaLJKg83XUFQoFVquVxx9/nG984xsyyTgwMEBbWxuXLl2iq6sLr9dLc3MzXq9X+ikOhwObzSbZAlE/g/kA12g0dHR04Ha7JUn9+eefp6enR4LxeDxYLBYZefl8PrxeL8FgUEYcoswtyO5jY2MxZb/8fr9URAD44Q9/SHd3tzxgXC4XFouF1NRU6QCFQiHcbrfUnC0oKACgo6NDlpSjXWw6nU4GDwDf+c53aG1tlSWY4eFhmSkwm82YTCapDZqRkUFCQoI8rBsaGnj//fdj7sIXGS3h5H7ve9+jurqasbEx3G43g4ODxMXFSRmbjIwMxsfHGRoawmKxYDabuf3224FpR//IkSNSBzhaE5JPIgj5j//4D+rq6vD7/dKRj4uLk/SbJUuWANNBgtApFhnKhIQE6ZjGElQlJSWRlpYmP8evfvUrmpqaGBsbw+v14nQ6pXOakJBAVlYW4XCYnp4e+YxESVaj0dDf3y8P9WjNbrezZMkSmV154403qKmpwe/343Q66evrQ6/XYzQaGR0dlbI2fr+fwsJCPB6PzIRNTk7S2dlJdXV11FlBIUMlLo5Tp05RVVWFy+XC5/PR3t6OTqeTDrIo0Q4PD1NWVobD4ZDvbNeuXbS1tXHixImYGq/0ej1btmyRB+7Fixc5deoUbW1tUudS6F+KzLBSqWR4eJimpiYsFovser/jjjtobm5m7969skIRjYlGV3EpDw8P09HRwTvvvMO5c+dkAxogD2aFQsHg4CAlJSVYrVZJFdm+fTv19fX09vbG1ASmUCi4//77pSMI0xWqF198kb/+9a8zpNx0Oh02m01eGCkpKSQlJckO/A0bNnDhwgVaWlqkBnC0eDZt2iTVekQz1YEDB/jFL37BwMAAHo9HOn7x8fFMTExQV1eHRqORDdMwrYm+du1aKisrY04IFBQUyOqHuG9qamr45S9/SVVVlZQDFJrRgUCA2tpaWTESwZ1Op2Pp0qWyYTrau8hms/GVr3wFmA6ILBYLbrebY8eOsXv3bqqrq+X5Is7+mpoa0tLSyMjIkLQG0UgsJjLG4gzqdDruvPNOAO68805ycnIIBoM0Njby3nvvsWfPHtra2qRWtM/nY2hoCJvNRmlpqZQqFfMCdDpdzFhUKhVlZWUA3H///WzZsgWtViszom+//Tb79u2TySK/34/L5cLtdrNq1SqZ4ReKKDqdLuaGZIVCIR3LO++8k6985SvYbDZGRkbo6uriyJEjvPrqqwwODuLz+RgdHZUB6rJly2Rgp9Vq0el0sukwVhPJobVr1/L973+f/Px8xsfHGR0d5fjx47z88suyqXZkZEQGYoKaA9Nn5kJM4xU/IyMjg3//93+XikrBYJBTp07xP//zP9TX1+P3+2WSampqiqKiIrmf4+Li8Hg8MflywsTzNJvNPP300zz11FPEx8dLadwf//jHNDc34/f7pUzv+Pg4aWlpMpFms9mkXr9gMESDJ6qnOVuuRa/XYzAY6O7u5tSpUwCypBrZWSz4vFNTU3LBT0xMoFKppPSN+N7//u//pqamJqoHK3hwS5cuZWxsTGbQIqd7CTrD1NSUdNBGR0cZHh4mGAyiVCrZuHGjdMAmJyf53e9+x8mTJ6PSxFSpVGzYsAGNRiNLUWNjY7IrVfBDhRRUOByeIXGkUqnIzs6WOLZv387zzz/Pu+++i9frjerlKhQKNm7ciFarlZqEPp8PrVYrf6/IogvtT5E9FlSUyAt15cqVaLVadu/ejdvtjnrhl5eXo9Vq5WXs8XhISEhApVJJfIJb7PF4JCVmbGwMv98/I0OUlZXFxMQEL730Ek6nM+rgYe3atajVaplVHBwcJD09HaVSOSOoCgQCuFwuBgcHmZycZHx8XA48EM7gli1bGB4e5re//S2Dg4MxYQmHw/Kw6erqIjs7G7/fT2trq1y34sLo7e2VFZDR0VGcTqcsua9Zs4Z77rmHzs5O+vv7o7o8ysvLCQaD8l10dXWRmJgolSzEPhbvp7+/X1KRxCH1wAMPANOZlTvuuIP6+nr576KxDRs2oNVqZbWho6NDKg8I+ojoPg8GgzPUGMbGxujr6+Ohhx4CpjOCt956K6dPn46pSlVeXk5WVpYMfjo6Ojh9+jQulwuXyyWxwHRlY3x8XDp54lk9+uijwHRgtmXLFg4ePBgTzaKgoIB169bJIKa3t1eq40R20ot3MjY2JgMlr9c7I/tlNptZv349f/3rXwkEAlEHVCkpKWzdupWEhAT5WTs6Onjrrbc4f/68pMuFQiG8Xq/M+ItkRVpamtzPRqORsrIy6TBGSxEym83ceOONUrZRr9czMDDAW2+9xRtvvCH58CKBMjo6OqNKJwJNQOo4i0pSNHeRXq9n2bJlsrqUlpaGy+Vi9+7d/PznP8flcuHxeHC73TIrKSglPT09rFixQgZZVquVrKws2bUfrbMhqABC9rSsrIxQKMTp06f585//THd3Ny6XSw600el0EkswGCQQCMiAUqfTyWyywBLNOSfUmj7/+c8D01rvBoOBS5cuUVlZSWNjI2fPnqWjo4NQKIRWq5V7SPBbxfoUjqroEYlliIler5fP5cknnyQ5OZnh4WHef/99qqur2bdvH9XV1RKL+N1CV1uY2IeiOhKLbrVQdwL41re+RWlpKX6/n/r6eqqqqti9ezenTp0iFApJ9S2FQiGlzYRzLYZidHZ2otVqY+aKp6enA9MzLbZu3YpSqZRJlz/84Q8cO3aMiYkJqe+uVCql4pOolOn1eqnBLiYER4tFBIqPPvoojz32GAaDgaGhIWpra/nRj37EyZMnmZyclANUlEolJpOJtWvXSjUNm83G+fPnqaioiGkib1QOcmS0plKpuP/++3n44Ycxm81S0mxoaGjGYhUOmMvlor+/Xy4ghUJBd3c3tbW1srywbds2du7ciU6nkxPmroUlUod2+/btPPbYY9hsNl5//XUAeTGLyUETExPywujv75cOIsDly5eJj4+Xi23btm3s2LGDUCgkp+5dySKDBpVKxapVq3jqqaew2WxSeH5gYEAuboVievysmBLn9/ulzM7U1BStra1ykh3AzTffzM0334zT6eT06dNzzsaJkrnAIgT5e3p6CAaDMjsiAgYRITqdTnw+H5OTkzQ3N2MymWTmbPPmzWzYsIHLly9HlelRKpVkZmby+OOPY7fbZ/CIR0ZGZPQ9NTUln1M4HJYR6MTEBPX19ZjNZnm5b9y4kfLychoaGjh+/PicsSgUChwOB5/73OdITEyUkjgjIyN0dnbKnyMc0Ei+tKDv1NfXk5CQQHFxMTBd2lqxYoXkLs7V0VAoFCQkJHDPPfeQmJhIX18fMM3fra6uls6X+F8kFuGYXrhwAYfDIR2NVatWsXTpUlasWMHBgwfn5CCLMuyOHTuw2WwygBkfH6eiokJmbEWgKfZrZPNFQ0MDWVlZslxfWlpKfn4+xcXFUUtDGQwGbrnlFux2uzzQ1Go1Bw8epKOj40N9CkqlUjpACoWClpYWOZERpp3KjIwMlixZErU0lFarZcOGDTNKdHFxcezfv5+WlhYZSAlnXalUSp6+4Oq1trbKZ5Cbm4vD4SAjIyPqoUBqtZoVK1aQmZkp34HZbObw4cM0NDTMuBAjA3IhiSi058X7zcjIwGg0kpiYGDXNQqVSkZ+fT1lZmexx0Ov1vP3221RWVhIMBmfcA7OxOJ1OnE6n3Ctmsxm1Wk18fHzUdCVxvmzbtk1mGU0mExUVFbz99tuMjIzIC1qsX1HNi5zEGKnNGzlsJppEjcPh4L777pPBs8VioaGhgb/85S8yAxi5PkQgILTUVSqVfJ7i74GocIjvtVgsPPjggzIznpSUxODgIG+99Rbvvfcew8PDeDweuW8isUxMTGA2myUdR6FQSEc0lkl2BoOBe+65h507dwLTgYPISIrsaF9fn3wPkUGwGAYR6ZiKuzsW51in07F161b+7u/+Dpjek4Ia+dvf/paamho6Ozvl2TM7IM/PzyctLQ34QDZV3OHROoFqtZri4mIpk7t69Wp0Oh3t7e386le/4vTp01y+fFmes5HrVq1Ws3TpUnknismqws+JpQrvcDikL7djxw7MZjO9vb385Cc/4b333qOjo0Oeg6LnJhyeHpUu5k7AdLDsdrtjei5C/u+ZZ54B4KmnnsLhcOB2u/mv//ov9uzZI2doAHJvh8NhDAYD69evl5UKkQQVfl/U7yeqfw2Sa+NwONi6davsUhRNQuIAFE6O6IBMTk6ecQiLAz4uLk4uNqF/K0b+Hj58+JplSOEk2+12tm7dKiPbixcvAh90E4umODEAIyMjQ3LRxM8RLyWyKUFwntRqtdTpvJIJJ9lsNrNu3ToZyYmMjlKplAMwurq6CAQCxMXFkZyczOXLl+WzENGoTqeTB31GRobUJRbTwq7mgEU663FxcVLb1+/3S86j6ARds2YNp06dkpGvw+FgeHhYYoj8f8Fhczgcku/Y3d0to/2PMr1eT2pqqqRSiKyt+BxCmN7lcmE0GuUoWPEcIwcACA6b1WolPz+fNWvWRJWl1Ol0cqrXyMiIzNYIlRPBFRQZa6vVKi8uES2LzTh7DZeVlXHmzJk5dzNrNBrMZjPd3d0MDAzIzO2FCxdwOp2SzjA+Pi7/rah2iHJRJIdffD6r1UpOTo7U2/0oLGq1GpPJJLPOIpN98uRJ+vr6ZAYnFArJMfGiAhRZthKZbpheN2Ialdhfczmc1Go1cXFxdHd3zzgE9+3bR2trq+wXEL8/8pwRWODD0/NCoRBGo1FecnPBolKpiIuLY2RkhO7ubnkWHThwQDaoCCzCIRXfJzi2IvgTa1Osc4ExGiyid2F4eFg6URcvXuT48eNyeItYC+LnCiziHUbqvQsVDnGBzRWL6KVISUlhampK7men08nevXvl74tsWo281MUa0uv18u99Ph8dHR1ROzyil6OkpAS73S4DXL/fz4EDB2T1LrIBXNxR4pnEx8fLbBVMX6pNTU1RZQMVCoV0EpYuXSq/7vF4OHHihKxUzg4cxDh3QYdJSEiQa9jlcnHx4sWos5Kiorpx40a2bNkikz7j4+PU1NTQ1tZGf3+/HHYUmeCJ3LfJyclyTQ8PD3Pu3LmYqpgajYbNmzfz0EMPyXstHA7T2dlJTU2NpJxEVnzFCGG1Wo3dbicjI0MmCHp6eqioqIh6Eq/AcvPNN/P0009LioVSqcTpdFJVVcXRo0cZGRn50HwGsb8FHU6opVy6dIlDhw5FXcUU6+/mm2/mq1/9qnQsdTodgUCA8+fPs2/fPpkkmY1FqVTK+QUCS0tLC/v27WN4eDjq56JWq7nxxht58skn2bx5MzBdSZmcnKSpqYnXXnvtig2rkVSP/Px8SV2tr6/n4MGDUT8XrVbLunXreOCBByS1MzExUSZUX3jhhQ/5hJHPJCcnh/z8fOmz1NbWcuzYsQ+907laVA6yiHoViukRpXV1daxfvx6dTid5xJcuXZJRryipdXR00NXVNaNsJjaxXq+Xm9Dr9WI2mwkEAhiNRtLS0mTZa7aJQ05ktVtbW3G5XJhMJunkZmZmymhXZEsHBwelbFbkAxOTl8TXxAANISUmJMhmW2RkGQ6HGR0dxeVyyXQ/TDv+gqYhcItSiN/vn3GpaTQamc0FJB9scnISr9crn9WVLPLZip81OjqKwWCQmYCbbrpJll6npqbk5hK0AfFcxKaZmpqSC1J06avV6jnTTsTBEh8fL3nW4rls3rxZDnwQUahKpfpQdkA4QGNjYzLr1trait1ul1jmsvgFFqvVKt+VeC4bN24EkA654JUJbOLzCixer1cGYg6HQ04BnGtpWGAxm81otVp8Pp/MkKxfv142fQknI3JccWRQIibriRGfKSkpxMXFERcXN6eyViQOoWgiAtby8nJaW1tnlLwjnTBRnYHpg93r9cpAOTs7WzZIRNNkJNZKQkICoVBINjvl5+eTlJQk+XfCARU/VzjMgCx1isEHJSUl5ObmkpCQ8KHs80dhMZlMknojSsyid0I4C+IcEo6NyD6KzzI+Pi7PDtFsJC6SuWIR50l2drbk84rvj9y3kecRIEvnWq0Wm8024/wQ0o7ia9E4gwaDgfz8fBISEuQeamtr4/LlywwODs4IEiOxCC59cnKyXHOAdFJjucQMBgMlJSVkZmbKylt9fT1HjhyhpaXlQ06p+KxGo5G4uDiysrLIzMyUWMRZG0uWtKysjOLiYrlWhNNSW1s7o58lkq8aHx9PfHw8hYWF5OXlzZC+a2lpiZl7LCTIbDYbMC3B+uc//5ljx44xOjp6xc8XHx+PxWLhhhtukAkWmKYVVVVVRd0wKM718vJyli9fLh3krq4ufvOb3/Dyyy9f1XkRik633XYbeXl58k5sbGykqqoqagqBwLJlyxbJDYfpSvNvfvMbfv3rX+NyuT6EJTJ59sQTT5CTkyOTZefOnZPNytFiMRgMcmqquBOHhoZ4/fXX+eEPf3jFAEBgycnJ4V/+5V9IT0+XiZU9e/ZQWVkZM5Z7772XO+64Q2JxOp0cOnSIH1MLrT8AACAASURBVPzgB1dtzjcYDCxdupTvfve7JCQkyEr1888/T0VFRUx76P777+ezn/2sPOPcbjdnzpzhBz/4wRV7SERwun79er73ve/h9Xplg+0vf/lLWV2LxaLOIIuH73K5eOONN1i6dCnr1q2TJQKLxcKbb745I4qJ1EMVjuTk5CQul4tQKCQvj9bWVlJSUsjNzZVagz/72c8+Esvo6ChvvfUWS5cuZcuWLZLv53a7+ctf/iJ5oaJMJA6nSCyiHCAeZFdXl5zis379erRaLceOHbsqDpgOCI4cOcKqVavYvn07mzZtAqYvjldeeYX29nYmJibQarWSXysuVrHZ3W63zBICkkeq1WrJycmR+pBXM/GZAoEAVVVVHDlyhO3bt8usxmc+8xleffVVamtrZRlNTMuLzPSJS0JkYAApNTQxMYHVapU84Y/CEgwGqamp4ejRo+zYsUNynO655x7effddTpw4gUKhwGazSeqLyDSJcqTgJov3I8bXisz9R3EoBRYxhvfcuXM4HA7pgO3cuZP09HROnjyJ2+1Gr9fLNSwUWUQmSjgkYrOKKD8UCkmO7NUy68J5EdnW/v5+2traKCoqkpfq3XffTVlZGWfPnuWNN96QgY7IZGu1Wpm9FXQdEd0PDw9LrrRwOK6EJRKH+AyCiyiyaZ/5zGcoKiri7NmzvPjii3KvigyPXq+XXDdRIhbBlKhaiBHQkXzhK2ER1SAxKlvsAeG0rF27FqPRyPHjx3njjTfkMxbfq9fr5XqY3TmtVqvl/haNPdd6P4IOoFKpZEZSqHjAdHXpscce4+DBgxw7dkxm8QV+rVYrx+SKgFJk8YxGI16vF7/fL53oq2ERWTTBsxOJB9H/AdPO+o4dO3j33Xepq6uTZ6J43sJJNxqNckStwKLX62VlSq1WyzX8UVhEIkGMJ46U+Vy5ciXDw8MzLjKBRa1Wy+bkgoIC0tLS5FrTaDQyKBTTwq52qYlzampqSmboLRaLbNqE6X2QlJSEXq/H4/F8KJARdI60tDQ2bdpEcXGxdAxcLhd9fX0yWJ5djZiNQ7wfoa0vPjNMn/2CwhZpAotYI7m5udx2223k5+fLpIXH45GUuNn79UpY4INMvcAS6SwJibbZjmUkluTkZNnHkJqaKisfnZ2d9PX1MT4+PqNKMxcsCsW0CkGkPvv7779PVVXVh8rvkes2JyeHbdu2cffdd8sqKkxnBfv6+uT+v5YzeLWKX6Rc6fHjx9m7d+8V+2rEsyktLeVv/uZv2Lx5M1qtVtLhzp49K5/LR1kkLVQ8Q4FFfP3w4cM899xz8ufPxiL6tv7f//t/5ObmMjAwQG1tLTDtrI+MjMyJ4hf53AQWoTAjsBw6dIif/vSntLW1zQjoIrHccccd/Od//idms5nKykrOnDkDTKtlibkT0eAQayZyjR46dIhnn32WCxcufAgHTD/XO++8k1/96lcolUpeeOEFTp48CUyPjReVm1gs5pbHiYkJLl26xO9//3usVqs86ATnRFyaGo1mxkOaXS4IBAKSipCdnc3Y2BhmsxmHw0Ftbe2cFt7ExAQ9PT28+OKLJCYmykMqcrCFkBkTHOnZh83U1NSHsAg5sOTkZOrq6j6yhD8xMUF/fz8vv/yyVD4QXweko5uamsqlS5fkIoi8CIQDKpxggSM1NZWVK1fS2tp6zWgoMqM2NDTEq6++itlsZuXKlcAHWbFweFquKzs7WwYqKpVqRgZUOFeCt5mfn8/U1BQGg4GsrCz6+vquGSFGBkiiUcVsNstsrUajISkpSWZsU1JSGBoaku9clBbF4SacdkBWMbxeL4mJiTidzmtuxkgsHo+Ht99+ewYWofksSp6itC5oBZEVAHGgiYvM4XCgVqsJBoPY7XY8Hs9V123khSU6tQ8fPozD4ZCOhk6nIzU1VR7ukRxt+IATJxwzjUYjqybJycmMjIzg8/mkuPyVsETiGB8fJxgMUlVVRV5enswIim5xwUkXJg4xcfGLn5OUlCQDsZSUFKl+odPprtkcF7kHxL9ramqivLxcBg2AzAqLnyMOV+GkCAdJZDVEc6lQLBgYGJCX5NUuVbH/BBZB9wgGgzO0yXt6ej7UBBlJUxBr1mQycdNNN0m+utBvFvv7Wtme2ViMRqPk7AssTqeT5ubmGQkJgSEyqy3OkK1bt8qegmAwSGVlJSMjI1d1Aq+EZXx8HJPJxNTUFBaLRe67zs5OLly4IB1SgQWQDphGo8FoNFJcXMwNN9wgy+aDg4McOnRIfu+1nJ5IrCLhIIb4iIC9oaGBCxcuzKAnRDrIYo/n5uZy1113sXTpUvn5RFk2smp0NRPvf3JyEpPJxJIlS7Db7fL91NbWSnUc8XPEOhX3Y1JSEuvXr+e+++7DYrFICs7Bgwc5f/685E5+VFYwkqIgJP0SExNnZDubm5tnOAsCi6A2rVy5kgceeIBbbrkFr9crJUH37NlDa2urPEuuhUXsR2FZWVls376dpKQk+VzOnDlDa2vrDF5o5Bqx2+08/PDD7Nixg6KiIrq7u6moqADgrbfeoqOjY07Vutn3fFFREXfddRd2u1063BUVFXJ4V+Rz0Wg0aLVa0tPT+fa3vy2HRdXX18tx7QcOHKC3t3dO9L5I506hULB27Vruuece7Ha7fOcnTpygtbX1Q+tFVIFKSkr48Y9/LGke1dXV7N69G0DqiM+17yRyX2zdupUHH3wQi8UiKXZHjx6lublZ7gOxfwSWVatW8dOf/pSUlBQmJye5ePEi+/fvB6YrDh6P5yOfy2wct99+O4888gjx8fEyM3748GEaGxtn9K+J5IlKpWLlypX84he/kBSrM2fOSEd9YGBgRmItWovZQQ6Hp+el19TUsG/fPnkxiiyX6Gy0Wq0zpLhmL+jJyUm5aYTEjJBE8ng8H4q8r4Wlvr6e/fv3s3r1amD6QhWl8uTkZLKysqRWqeBxChOLN3I4xPDwsGwq83g8V4xeZuMIBoM0NTVx6NAh2cksuu+NRiMZGRnk5ubi8XgYGBhAq9XOoCtE8s9gOgve2dmJ0Wj8EN90Ls+kubmZY8eOyaxRT08PcXFxWK1WOUDA6XTKOeZCYURcsCJ7CdOX2PDwsKSjzFVSRjyXS5cucfbsWUnH8Xg8MqOUkJBAenq6nFwkDjDRGCd0TsXndzqddHR0oFQqsVgsGI3Gq9JxrvRcRJlOdL1PTU1JOaXs7GxsNhuhUIj+/n45pWxiYkJm/kwmkyzRAfLyEFnVuciJiaDs4sWL1NbWkp+fPwPjwP/X3pU9tXle70cLkiVAIEAsEovYBJjVgB3bgBcc2tTxFOxkMk0v2pm2M51Oe9/+Bb3pdKbTNheO46ZOOq7dxhg7xDE2YDDGgIEgzGJ2BGYRmxCIHYF6obwngmBbnyAx8/u9z5XjcaRH7/d973fec57znMlJGpLCqjYBAQFbsrFKpRKRkZEUIG9ubqKnpweTk5MkiXKHx8rKCrq6ujA4OEi2QcwX22Qykf3e9PQ0lpaWyG+T3VfBwcHIysoimQibotnZ2UmbvTtlv83NTbpXxsfHqTy8vr6OwcFBjI6Okp0Rc4Hw9/enl2pgYCASExNx4sQJ4jY6OopPP/0Uz54927Hc/iKwoHBkZAQWi4UOMMvLyzCZTJifn6eMNMtI+fv70/THiIgI5OXlIS8vjw5TAwMD+Oc//4nJyclX6sO3JxPYuro6jTCrQ9Zt7/rC8fX1hZeXF0JDQ2EwGPDee+8hLS2N9tSmpiaUlpZifn5eULmaVVXYM8G4zM7O0p9ds8rsUC6Xy8m54gc/+MGWwKC8vJyakIWWZZm0aWVlhfTQMzMz1MegUCi27Gfe3t7w8vJCWloaioqKkJSUhIWFBfLtvnXrFkwm05YmpBfBdb1Z9YgNmACce+bCwgJl2zc3N0lzzCRiZ86cwXvvvQe1Wo1nz57RtNDKysotDYavguuBkelr5+fn0d/fD8ApkVteXoZcLic3BNZ/wLyRCwsLKUtaV1eHhw8fAnDetyzQEMKF+byLxWLMzs6Sz/Xo6CjW1tYgl8uhUCiwuroKmUyGoKAg5ObmIjQ0FEVFRQgPD4fdbseNGzdQVVVF11bIACK27l5eXjh69CgkEgmsVitaWloAOKUnjAvzOGdrUlRUBK1WiyNHjsDb2xtWqxUfffQRlfBdmy6FcFEoFDh79iz5g7Nr3tPTg7W1NTr0LS8vIzAwEFlZWfjZz36GqKgo6PV6OBwODA0N4e9//zvJ61h84G6AzLj4+fnh/fffJ19u9ttYv5NMJkNwcDAWFhYQHh6OrKws/OIXv0BkZCQFx319ffj4448puGYJLXeuEeOh0Wjwq1/9CjKZDLOzs3TvtbS0EA+dToelpSUkJCTg8OHDeP/996HT6UiGyoJ0dthhPXNCJCeu2JVpnlgsxtTUFD744APqGszPz8fhw4fR0dGB06dPIzo6GpOTk7h+/TpWVlZITiESOTt+f/KTn1CZG3A6G1RXV+PatWvo6+tze/KJRCLBzMwMLl++TDfb+fPnERgYCKPRiIKCAqhUKlgsFly6dAmLi4u0mUskEmg0Gpw+fZoCJqlUCrPZjObmZly6dMlt+y6xWIy5uTlcu3aNNtyioiKkpqaiu7sbmZmZsNvtOH78OC5fvgy73Y7BwUEqF2o0GiQmJpIrAWvi6uzsxM2bNwU1SYjFYthsNty4cYP0mOfOnaPOZoPBgMXFRWRmZuLjjz/GgQMHaANjDQlarZYycSqVCkNDQ6ivr0d1dbWg7lTWLV5SUkLl4YKCApw4cYK8HK1WK9544w1cuXIFgYGBaG9vx+LiIkQiETQaDaKjo2ldWFNZY2PjjqU6d7iUlpbS5+Xk5CAhIYFOpuwlV1xcjPDwcAwODmJubo4a8rKzs8max9vbG9PT02hpaUF7e7sgH1eRSITp6Wncvn0bubm5AJx2THFxcbDZbLBarWRb9uDBA1qnlZUVSKVSpKam4kc/+hFdI4lEQllFdzMbgHNzHR0dRUlJCXW9R0dHw9/fH1NTU9BoNKQP7+zspAw303Tn5uYiNzeXqjfMtN1sNgtu7NnY2MDg4CDu3btH/s4GgwEXLlygBtcDBw5gfX0dZrMZGo0GPj4+CAoKQkxMDM6cOUOHbMCZTWxpaRE8DpwFyH19faivryfpVnJyMn76059CJpOhq6sLPj4+sNvtsNls0Gg0CAgIQGhoKGWrwsLC6MXBOvbtdrsguznGhY0FZtaYaWlpeOedd1BRUQGTyQSVSkUHnqCgIGi1WkRGRiIhIQHHjh2Dr68vent7AQB//etfMTk5+crsMfv+7VyGh4dhsVhorTMzM3H27Fm0tbVhZGRkSynbz88PSUlJSExMpPG4drudZGt/+9vfSCb0qntlO5fV1VXyz2eHu7y8PAwMDMBkMmF8fJwGIbHEzZEjR3Dq1ClERkZCLHbaWH3yyScAgOLiYnpPvYzL9jVjPRYikYjWJD8/H8PDw5ienqaGV9a4rtPpcPToUZw4cYLeTfX19fj0008BOJt1maTB3ewxA/OflslkdPA+d+4cpqamMD8/T4Md2PS1sLAw6PV6vPHGG2RR+uDBA5SWlgKAoL1ke4DGpDNyuZwqKe+++y7m5uawsrKCiYkJHDhwAJGRkTh58iQiIyNpMNTS0hLa29tRWVmJpqYmAHihfvpV6yIWi4lLQEAArcuFCxfoPWOz2eiQnZmZSdMeRSKnI83du3dRXV1Nz5CQSbeu8gqJRILp6WkKxlnS6Pz581hZWaHDbmRkJMlN9Xo9dDodbDYb+vv7cfHiRbS2tpJDjpBR1649XDKZDJOTkxSY6792xSgqKsL6+jo12cfFxSEmJgZBQUGIiopCYGAgZmdn0d7ejj/+8Y80rIN9vrtcXCVP7PAjl8upAv/222/DbrdDqVQiPT0dBw8eRGxsLPFQKpWwWCwwGo34/e9/T/1UjIenwTGwywDZtezW2toKwFnCSEtLQ0FBAWZmZlBXVwd/f39ER0fD19cXTU1NUCqVePPNN3Hu3DkUFBRQQNHc3IyKigp0dHTAZDIJyiTsxEWpVCImJgZvvfUWxGIx6uvryTvQ19cXVVVV8Pb2xltvvYUjR47gzTffJA1efX09/vOf/6Crq4teIu6Caa7ZScxutyM1NRXZ2dk0IQ4A6d5sNhu8vb1x+vRp6HQ6nDlzhho1GhsbUVxcjL6+PrcypNvBxmdXVFQAcGakT548iWPHjkEul2N4eBgbGxtITEyEXC6H2WyGt7c3cnNzIZfLkZOTQ1k8o9GI0tJSKrt4yuVf//oXAKe13tmzZ5GVlUWBmEwmQ3JyMry8vGA2m6HX63Hq64ERGRkZJNxvaGjAgwcP0NbWJpgLCyDW1tbwpz/9CYAz03P8+HGkpaVBIpGgtbUVarUaGRkZNDo3Pj4eOTk5UKvViI2NpUD/yZMnKCsro1KqELAKytDQEP785z8DAH77298iMjIShw4dwuLiIg1WYDrcmZkZqNVqZGdnIyoqCtHR0fS95eXlKC8vF+w9zHT4HR0duHz5MgDgl7/8JXx8fJCXlwe9Xo/nz59DJHJOuWMNnCzwiYiIgEqloia9L774Ao2NjYKDYwCUua+pqUFSUhIA58tdo9Hg7bffRlxcHE2HnJ+fh1gspkqEXq8nzXF7ezsA0AHRkzLb6uoqBgcH8eWXX5L5fHJyMtLS0uBwONDV1YXp6Wmqpvj6+tLkpqCgICwuLqK3t5eev5KSEo+nhbIs//379+nlLpfLkZubSxPsWMMT06Dq9XpERERAoVBgYmICbW1tuHr1KgCnDhSAW1WG7VhaWkJrayuampooW+nt7Y2zZ89Cr9djc3MTZrOZGoJ1Oh0yMjIo+/Xs2TNUV1cTFzbiXigXh8NBI5tNJhNVUpiVY3d3Nw20YvZX8fHxyM3NRUhICKxWK8rLy3H9+nW6Rq4yLqE8WGmZBeoajQbvvvsupqamYLfb0dXVhdDQUPj4+CAjIwNJSUmQy+UYHBxEVVUVrl69SppSV825ULBm8dXVVap0BQYGorCwkPo1+vr6kJ+fj4iICBr6s7q6is7OTlRUVKCsrIwy4SzQcJVUuQtmHcqqPYwLs3wDnPKcM2fOQKvVIiAggPz4v/rqK1y5cgVGoxGzs7O01u6uy/bDFBunrdFoSL6l1WpRWFgIqVSK0NBQzM/PIz09napSc3NzmJiYwMOHD3Hx4kWMjIyQbMWT4IsdSJ8+fUrOTawxWq/X4/z585S1tVgsSEhIwObmJry9vdHT04Pnz5+jsrISpaWldBASCleDg5WVFdy5cwcFBQXQ6XQUIMfGxuKdd96BVCpFVFQUnj9/Do1GQ3JCo9GIhoYG3LlzB48ePfLIY571U6ysrGB2dhYffvghEhISEBMTQ3ucyWRCYWEhJBIJUlJSYDKZiPfMzAweP36MW7duoaamBn19fYIOCq/C7seufA12szLPVL1ejzt37iAgIAD5+flIS0tDUFAQlEolBgYGIJFIcPDgQQpGAODKlSvo7u6mQQiegt20XV1d5J5hNBoRERGBkydPQqvVIjAwEF5eXhgeHoZSqcShQ4cgl8tRWVkJAPjoo48wODgo2DLFdT3Yb2htbUV/fz+mp6fR2dmJkJAQFBYWUvcyCwjUajVOnjwJlUqFa9euAQA+//xzPH/+3KMJYK5c2I3LPB5ZI0pISAhycnJID8hKpr6+vlRq+8c//gHAGZSyMp1QuOoyWTBXU1OD3t5e/O53v6NyZmJiInJycmh4ydraGgWDy8vLuHjxIgCnboxZVHkCdk1ZM8SlS5dQW1uLP/zhD1hYWMDy8jJiYmKozOXj40Nlr6SkJFitVrpGtbW1NNHHEx7stM1ejH/5y1+Qnp6OX//61wCcL1mDwYCUlBQaxqBSqSgIm5iYIO/vhw8fenxocDicjgistCWVSqnhlGVFAwMDsbGxQRZ5Go2GpnB1dnbS4aelpQXj4+OCMrauXNbW1mC1WvHZZ58BcAaCqampyMzMRHx8PEZGRqgxy2KxQCRyGufb7Xasr6+jurqauAwMDLilh9sJTPfe19dHn/eb3/yGnpvExEQMDw9DrVaTswVzkLHZbBgfH0ddXR3+/e9/A/imtOzJ/ra+vo6pqSnU1NRQAHbhwgUEBQXh1KlTtI8olUryXGeTzyYnJzEwMIC7d+/i7t27AEDTOT3hsra2ht7eXhQXF1OAnJGRAT8/P3JSmZiYoOZCPz8/KBQKrK2tYWBgAI2Njfjss88wNDQE4Js+DU/22uXlZTx8+BA6nY6qkTqdDiEhIdDr9VCpVHT4tlgsCA0NhUqlwvz8PJ4+fYrbt2+jqqrK7Qz2i7CwsIDi4mLEx8fT9Lr4+Hjo9XpMT09DIpEgKysLERERZDkqEjntq+7du4eSkhJ0dHR8K+ARerDb3NzE7Ows/vvf/yI0NJSqS/Hx8dRzsrm5icOHD8NgMJD8p6enBzU1NWhoaEBdXR1GR0e/9d1C75WNjQ2YzWaUlZVBpVLRpLW4uDiEh4fTYWRubg56vZ5kMK2trSgpKcGjR4/Q09Ozo2uSJwdvNliHOakAzkRVdHQ0bDYbZf4lEgl6e3thsVjQ0dGB0tJSVFRUYGxszOOspOv/w4K7yclJknYA3/jHz83NIT4+HsvLy1hYWEBdXR1MJhOMRiMqKiowPDzs0ZRHBtfnfnFxkXzJlUolJedSU1NhMBgwMzODqKgoaLVaDA8PY2hoCEajEYODg7h79y5VFzzhsrm5Sdriubk5WCwWzMzMkJSQrYler4fZbEZUVBQsFgvKysroIPXVV1+hoaHBo6nHr8KrBb4cHBwcHBwcHBwc/4+wqwwyM8iXSqVUbp6ZmSG/YZvNBoVCgfb2doSEhCAlJYVE1mKxc/Tk5OQk7ty5A8B5gp2YmPCoZMC4MB9h4BvHgs7OTszMzMDPzw+PHz8mLcvPf/5zAKBGlvn5eXzxxRcAnGl9q9Uq+PTuyoOdZpjbQltb25bOzODgYOTl5eHHP/4xfHx8oFaradoX0+axco4nJyPX6+PKZW5uDg0NDZiZmYHBYIDD4SDZQE5ODnx8fGjyWFtbG5qbmwGArI88OSkyLq4luvX1dVgsFpSXl8NmsyEhIQFLS0vU0JiUlISwsDAYDAYEBwejrKwMjx49AuCUROyWC/sz4Gww6u7uRmlpKVZWVkgTxrxao6OjERcXRxZ1xcXFdK+wxjVPuLBGOubVDTh9PldXV5Geng6RSETDNkJCQsi+LTo6Gg6HA+Pj47h27Rru379P6+IJF6ZJW19fJ70sK5slJSWRYX9gYCANiVheXqbpXLW1tbhx4waMRiMAZzZN6Ljg7VyWl5dJx3/z5k2sra3R+jOPZZlMRgMrAKdu8/bt26itraWR88xP2hMwLlarlbrog4KC8MMf/hDp6enkfsIypCyLbTab0dTUhHv37qG3t5d6AFytJD3h4nA4MDY2hlu3bgFw3p/Z2dnQ6XTw8fGhznv2u1nT8KNHj1BbW4uRkRGSanmaPQac9y2zb2QyCbvdDoPBQJUx9k5gvuZjY2N4/Pgx6urqYDQat8hedqMTZCPX79+/T5n1/Px8hIeH01RSlUpFEi/W+Pzll19Sh7zQoRPbwbTQJpMJN27cIFlDREQEwsLCaICPWq2Gl5cX5ubmMDY2hpGREVy5cgV1dXUYGxvzuCK2ncvi4iLq6upoHwNAVn8ymQx+fn7kC261WtHY2IgPP/wQzc3NZGPp6TPjis3NTVitVty/fx8ajWbLu12n00EikSA4OBgikQiLi4vo7+/HgwcPcOvWLbJa9bTishMX5pYiEolID82066z/ZH5+HlNTU7h69SqePn2KsbExyth6Ko/ajo2NDUxNTcFoNGJhYYEqH3Nzc4iKiiL7x8bGRnR3d+PmzZsYHR0lK829WhMA9O7p7+/H6uoqeYlbLBZERkZCKpVifHwc169fR3d3NwYHB2GxWGh0u6fZY2Drc8/2t/HxcbKEBJzvV61WS+v1ySefkLMQ0xvvpazCFSIhP0wkEu34j0Ui0ZYJZ6y0Z7fbERERQS9tZoHDUvKnTp0CAHzwwQcAvhkZ6OoXCAAOh+NbYqOXcWEBMvP2ZL6QWq2WdFnx8fE4dOgQzGYzZmdnkZ+fD5vNtoUL+7xtOibRtu97IY/t/+3l5UW2XA6H07Q8OzsbKSkpmJ+fh9lsxrFjx9Db20svne2TsTxZk+182PVhzg2AUz94/PhxREREYHl5GVarFUlJSaisrKRg/UU34G65KBQKsl1yOBzw9/dHXl7elq7w4OBgfP7556TfftF96ykXdt+w4FytVmNjYwNhYWFIS0uj0eDssFNWVkaHnb3i4jpRUSKRQK1WQ6vVwmAwQCqVwmAwQKfToaenh0aBm0wm9Pf3U6nSXS4v4+E60VEulyMkJARJSUlIT0+HSqWiMmR9fT3Gx8fR0tJCDRpuSCqaHQ5Htjtc2OEOcDZl+vr6Qq/XIzk5GSkpKVCpVNDpdFhcXERlZSUaGhrQ3d0Nm83mVje30H2F7XFhYWEIDg5GVFQUkpKSEBcXB4VCgcDAQIyOjqK8vBzV1dWYmJigF5kbjWducxGLxWSrycZoh4WF0Rhq5jTQ29uL6upq1NXVkcTEnf1eCBfWzAs4B8skJCQgODgYqamppN80m83o7u5GVVUV2ZYJcBJxm4tcLqfpp3l5eUhPT0dwcDAMBgMUCgXGxsbQ0tKC7u5utLa2ko2oAPeOVz5DIpEIvr6+5Op06tQpZGVlQa1Wkx94X18fGhsb0dvbC5vNhidPnggKRt1dE3aoPnr0KADnAKKDBw9CqVRSENzY2IjW1la0trZiaWlpRy/g3XJhz3FMTAw1IickJCA2NpY8hdvb29Hc3EyWhQAEB6PucGFBcHp6OrKzndsQ0+ozP/X6+votTiZMq7vXXFjSITs7m+4XqVQKrVaLtbU19PX14cmTJ1ucgNxpChehjwAAA9VJREFU2PSEC3t2Dh8+TFP9VlZW4Ovri7GxMdTW1mJiYgKTk5O7anx71TN04MABxMTE4MiRI0hOTgYAaiBsb29He3s7lpaWPOpteRmPF2FPAuSX/HsoFIotPnoymYx+mFQqhVwuJ/E9g2uW8WvtqqBA40VgGltXbkwDykZsbh+n+CounvDY/vnMoJ5xE4vF35pcs9sA+UVw/VzmhelwOCjAYJm874OLq6m7l5cXORWwvwPwrQDsu+LCsu7sgMUqAszjk63Ry7AXXEQiEb3Q2PAKV4tCV+9TIVyE8hCLxVCr1VtM19kaCNyo3A6QXwTm6bu6ukrZSXdGam+Hp9fH9Z6Ty+WIjo7G+vo6daV7ks3wlIurjZG3tzdiY2PJItDT7I6nh0yWAGAVqYiICMrGCbEI2w0XdshUKBT021mGn+ksPWkm2onLy3iwg51KpaL9y9UxY2FhweOsl9CDHdOUBgQEkA90SEgINjc3yRfZdSz4d8WFjUsHnOvCPI8BkE+5u9Zgu+HCklWMi1KphEwmg0wmo6FLe1BRcOvgADiDQmZJyYZAsbhIqPPObriwwwNLmrGBPcyibzfVrxdx2ekAw5xm2H0rEonILYRV03ebLd4XAfJLPoeycXudXfGECxuf686i73WA7MqDTfDa6yyPJ1xYEPC6uTA+X3/Pa+fC+OwXLu5iL+5bT7IXO2DXAbKQ++Fl2Ivr4zo1jHP5Bqx6t9cv1P3ERQgPtr8DwjOjr+IhhAsLhNjB6nVxYc8wC4iEePzvFZedqrxM7vZ97y07cQF2/yzvBReXz9lzLu7y2IvvfhmPF+G1NOlJpVLqZt3rHy4UIpGIMrivE+ykth/gmjHfD3A3UP++sJ+4fJ/YL797P90Pe5HN2CvsJy5Chid819gPXBxf25DulYZ1NzyYS8zr5MKeYTat9XVcH8bBlYsnVY7visvrepa3c3ld++3r/G6GPbN5E4L19XV0d3e/9k0L+KaJYD+8cHdbStlL7JcXLQcHBwfH3mE/vOsY9hMXDo7tEBogTwMY2osvFnB6jXrB3+8ZFwEP6U5c9oyHAHznayIAnMvO2O9cXgcPYP9w2e/XB+Bc9juX/cID4Fw4l52x37nsFx47QpAGmYODg4ODg4ODg+P/OvaH6JWDg4ODg4ODg4Njn4AHyBwcHBwcHBwcHBwu4AEyBwcHBwcHBwcHhwt4gMzBwcHBwcHBwcHhAh4gc3BwcHBwcHBwcLiAB8gcHBwcHBwcHBwcLuABMgcHBwcHBwcHB4cLeIDMwcHBwcHBwcHB4QIeIHNwcHBwcHBwcHC44H8H+VRSnH7gtwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x720 with 400 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We built a 2D latent space, so let us explore it.\n",
    "\n",
    "dim1_num, dim2_num = 20, 20\n",
    "dim1_grid = np.linspace(-1.5, 1.5, dim1_num)\n",
    "dim2_grid = np.linspace(-1.5, 1.5, dim2_num)\n",
    "\n",
    "z_samples = []\n",
    "for dim1_val in dim1_grid:\n",
    "    for dim2_val in dim2_grid:\n",
    "        z_sample = np.array([dim1_val, dim2_val])\n",
    "        z_samples.append(z_sample)\n",
    "\n",
    "z_samples = np.stack(z_samples, axis=0)\n",
    "images = vae_decoder.predict(z_samples) \n",
    "images = np.reshape(images, (dim1_num, dim2_num, img_rows, img_cols))\n",
    "   \n",
    "figure = plot_image_grid(images, \n",
    "                         figure=plt.figure(figsize=(10, 10)),\n",
    "                         grayscale=True)\n",
    "figure.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Displaying the generated images to map the grid layout, we can definitely notice the continuous nature of the VAE latent space. The shape and value of the digits smoothly evolve from one code vector to another.\n",
    "\n",
    "## Conclusion\n",
    "\n",
    "In this notebook, we trained our first ***generative*** model: a simple ***VAE*** to generate digit images. In the next experiment, we will tackle the same task but with a different type of generative models: the ***GANs***."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=\"ref\"></a>\n",
    "#### References\n",
    "\n",
    "1. 1. LeCun, Y., Cortes, C., Burges, C., 2010. MNIST handwritten digit database. AT&T Labs [Online]. Available: http://yann.lecun.com/exdb/mnist 2, 18.\n",
    "2. Kingma, D.P. and Welling, M., 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114.\n",
    "3. Kullback, S. and Leibler, R.A., 1951. On information and sufficiency. The annals of mathematical statistics, 22(1), pp.79-86."
   ]
  }
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