{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# DCGAN MNIST Tutorial - Saturating and non-saturating generator loss" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "***This notebook is heavily based on the great [PyTorch DCGAN tutorial](https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html) from [Nathan Inkawhich](https://github.com/inkawhich) and uses the MNIST dataset to illustrate the difference between the saturating and non-saturating generator loss in GAN training.***\n", "\n", "***Notebook compiled by [Michael M. Pieler](https://github.com/MicPie) while going through the [Depthfirstlearning InfoGAN material](https://www.depthfirstlearning.com/2018/InfoGAN).***" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Introduction" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This tutorial will give an introduction to DCGANs through an example. We\n", "will train a generative adversarial network (GAN) to generate new\n", "celebrities after showing it pictures of many real celebrities. Most of\n", "the code here is from the dcgan implementation in\n", "[pytorch/examples](https://github.com/pytorch/examples>), and this\n", "document will give a thorough explanation of the implementation and shed\n", "light on how and why this model works. But don’t worry, no prior\n", "knowledge of GANs is required, but it may require a first-timer to spend\n", "some time reasoning about what is actually happening under the hood.\n", "Also, for the sake of time it will help to have a GPU, or two. Lets\n", "start from the beginning." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Generative Adversarial Networks" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### What is a GAN?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "GANs are a framework for teaching a DL model to capture the training\n", "data’s distribution so we can generate new data from that same\n", "distribution. GANs were invented by Ian Goodfellow in 2014 and first\n", "described in the paper [Generative Adversarial\n", "Nets](https://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf).\n", "They are made of two distinct models, a *generator* and a\n", "*discriminator*. The job of the generator is to spawn ‘fake’ images that\n", "look like the training images. The job of the discriminator is to look\n", "at an image and output whether or not it is a real training image or a\n", "fake image from the generator. During training, the generator is\n", "constantly trying to outsmart the discriminator by generating better and\n", "better fakes, while the discriminator is working to become a better\n", "detective and correctly classify the real and fake images. The\n", "equilibrium of this game is when the generator is generating perfect\n", "fakes that look as if they came directly from the training data, and the\n", "discriminator is left to always guess at 50% confidence that the\n", "generator output is real or fake.\n", "\n", "Now, lets define some notation to be used throughout tutorial starting\n", "with the discriminator. Let $x$ be data representing an image.\n", "$D(x)$ is the discriminator network which outputs the (scalar)\n", "probability that $x$ came from training data rather than the\n", "generator. Here, since we are dealing with images the input to\n", "$D(x)$ is an image of HWC size 1x28x28. Intuitively, $D(x)$\n", "should be HIGH when $x$ comes from training data and LOW when\n", "$x$ comes from the generator. $D(x)$ can also be thought of\n", "as a traditional binary classifier.\n", "\n", "For the generator’s notation, let $z$ be a latent space vector\n", "sampled from a standard normal distribution. $G(z)$ represents the\n", "generator function which maps the latent vector $z$ to data-space.\n", "The goal of $G$ is to estimate the distribution that the training\n", "data comes from ($p_{data}$) so it can generate fake samples from\n", "that estimated distribution ($p_g$).\n", "\n", "So, $D(G(z))$ is the probability (scalar) that the output of the\n", "generator $G$ is a real image. As described in [Goodfellow’s\n", "paper](https://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf),\n", "$D$ and $G$ play a minimax game in which $D$ tries to\n", "maximize the probability it correctly classifies reals and fakes\n", "($logD(x)$), and $G$ tries to minimize the probability that\n", "$D$ will predict its outputs are fake ($log(1-D(G(x)))$).\n", "From the paper, the GAN loss function is\n", "\n", "\\begin{align}\\underset{G}{\\text{min}} \\underset{D}{\\text{max}}V(D,G) = \\mathbb{E}_{x\\sim p_{data}(x)}\\big[logD(x)\\big] + \\mathbb{E}_{z\\sim p_{z}(z)}\\big[log(1-D(G(x)))\\big]\\end{align}\n", "\n", "In theory, the solution to this minimax game is where\n", "$p_g = p_{data}$, and the discriminator guesses randomly if the\n", "inputs are real or fake. However, the convergence theory of GANs is\n", "still being actively researched and in reality models do not always\n", "train to this point." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### What is a DCGAN?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A DCGAN is a direct extension of the GAN described above, except that it\n", "explicitly uses convolutional and convolutional-transpose layers in the\n", "discriminator and generator, respectively. It was first described by\n", "Radford et. al. in the paper [Unsupervised Representation Learning With\n", "Deep Convolutional Generative Adversarial\n", "Networks](https://arxiv.org/pdf/1511.06434.pdf). The discriminator\n", "is made up of strided\n", "[convolution](https://pytorch.org/docs/stable/nn.html#torch.nn.Conv2d)\n", "layers, [batch\n", "norm](https://pytorch.org/docs/stable/nn.html#torch.nn.BatchNorm2d)\n", "layers, and\n", "[LeakyReLU](https://pytorch.org/docs/stable/nn.html#torch.nn.LeakyReLU)\n", "activations. The input is a 1x28x28 input image and the output is a\n", "scalar probability that the input is from the real data distribution.\n", "The generator is comprised of\n", "[convolutional-transpose](https://pytorch.org/docs/stable/nn.html#torch.nn.ConvTranspose2d)\n", "layers, batch norm layers, and\n", "[ReLU](https://pytorch.org/docs/stable/nn.html#relu) activations. The\n", "input is a latent vector, $z$, that is drawn from a standard\n", "normal distribution and the output is a 1x28x28 RGB image. The strided\n", "conv-transpose layers allow the latent vector to be transformed into a\n", "volume with the same shape as an image. In the paper, the authors also\n", "give some tips about how to setup the optimizers, how to calculate the\n", "loss functions, and how to initialize the model weights, all of which\n", "will be explained in the coming sections." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Notebook setup" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Random Seed: 999\n" ] } ], "source": [ "from __future__ import print_function\n", "#%matplotlib inline\n", "import argparse\n", "import os\n", "import random\n", "import torch\n", "import torch.nn as nn\n", "import torch.nn.parallel\n", "import torch.backends.cudnn as cudnn\n", "import torch.optim as optim\n", "import torch.utils.data\n", "import torchvision.datasets as dset\n", "import torchvision.transforms as transforms\n", "import torchvision.utils as vutils\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import matplotlib.animation as animation\n", "from IPython.display import HTML\n", "\n", "# Set random seem for reproducibility\n", "manualSeed = 999\n", "#manualSeed = random.randint(1, 10000) # use if you want new results\n", "print(\"Random Seed: \", manualSeed)\n", "random.seed(manualSeed)\n", "torch.manual_seed(manualSeed);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Inputs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let’s define some inputs for the run:\n", "\n", "- **dataroot** - the path to the root of the dataset folder. We will\n", " talk more about the dataset in the next section\n", "- **workers** - the number of worker threads for loading the data with\n", " the DataLoader\n", "- **batch_size** - the batch size used in training. The DCGAN paper\n", " uses a batch size of 128\n", "- **image_size** - the spatial size of the images used for training.\n", " This implementation defaults to 28x28. If another size is desired,\n", " the structures of D and G must be changed.\n", "- **nc** - number of color channels in the input images. For color\n", " images this is 3\n", "- **nz** - length of latent vector\n", "- **ngf** - relates to the depth of feature maps carried through the\n", " generator\n", "- **ndf** - sets the depth of feature maps propagated through the\n", " discriminator\n", "- **num_epochs** - number of training epochs to run. Training for\n", " longer will probably lead to better results but will also take much\n", " longer\n", "- **lr** - learning rate for training. As described in the DCGAN paper,\n", " this number should be 0.0002\n", "- **beta1** - beta1 hyperparameter for Adam optimizers. As described in\n", " paper, this number should be 0.5\n", "- **ngpu** - number of GPUs available. If this is 0, code will run in\n", " CPU mode. If this number is greater than 0 it will run on that number\n", " of GPUs" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Root directory for dataset\n", "dataroot = 'data/'\n", "\n", "# Number of workers for dataloader\n", "workers = 2\n", "\n", "# Batch size during training\n", "batch_size = 256\n", "\n", "# Spatial size of training images. All images will be resized to this\n", "# size using a transformer.\n", "image_size = 28 #64\n", "\n", "# Number of channels in the training images. For color images this is 3\n", "nc = 1 #3\n", "\n", "# Size of z latent vector (i.e. size of generator input)\n", "nz = 100\n", "\n", "# Size of feature maps in generator\n", "ngf = 64\n", "\n", "# Size of feature maps in discriminator\n", "ndf = 28\n", "\n", "# Number of training epochs\n", "num_epochs = 10\n", "\n", "# Learning rate for optimizers\n", "lr = 0.0002\n", "\n", "# Beta1 hyperparam for Adam optimizers\n", "beta1 = 0.5\n", "\n", "# Number of GPUs available. Use 0 for CPU mode.\n", "ngpu = 1" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this tutorial we will use the MNIST dataset from torchvision." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# We can use an image folder dataset the way we have it setup.\n", "# Create the dataset\n", "dataset = dset.MNIST(root=dataroot, transform=transforms.ToTensor(), download=True)\n", "\n", "# Create the dataloader\n", "dataloader = torch.utils.data.DataLoader(dataset, batch_size=batch_size,\n", " shuffle=True, num_workers=workers)\n", "\n", "# Decide which device we want to run on\n", "device = torch.device(\"cuda:0\" if (torch.cuda.is_available() and ngpu > 0) else \"cpu\")\n", "\n", "# Plot some training images\n", "real_batch = next(iter(dataloader))\n", "plt.figure(figsize=(8,8))\n", "plt.axis(\"off\")\n", "plt.title(\"Training Images\")\n", "plt.imshow(np.transpose(vutils.make_grid(real_batch[0].to(device)[:64], padding=2, normalize=True).cpu(),(1,2,0)));" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Implementation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "With our input parameters set and the dataset prepared, we can now get\n", "into the implementation. We will start with the weigth initialization\n", "strategy, then talk about the generator, discriminator, loss functions,\n", "and training loop in detail." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Weight Initialization" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "From the DCGAN paper, the authors specify that all model weights shall\n", "be randomly initialized from a Normal distribution with mean=0,\n", "stdev=0.2. The ``weights_init`` function takes an initialized model as\n", "input and reinitializes all convolutional, convolutional-transpose, and\n", "batch normalization layers to meet this criteria. This function is\n", "applied to the models immediately after initialization." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# custom weights initialization called on netG and netD\n", "def weights_init(m):\n", " classname = m.__class__.__name__\n", " if classname.find('Conv') != -1:\n", " nn.init.normal_(m.weight.data, 0.0, 0.02)\n", " elif classname.find('BatchNorm') != -1:\n", " nn.init.normal_(m.weight.data, 1.0, 0.02)\n", " nn.init.constant_(m.bias.data, 0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Generator" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The generator, $G$, is designed to map the latent space vector\n", "($z$) to data-space. Since our data are images, converting\n", "$z$ to data-space means ultimately creating a RGB image with the\n", "same size as the training images (i.e. 1x28x28). In practice, this is\n", "accomplished through a series of strided two dimensional convolutional\n", "transpose layers, each paired with a 2d batch norm layer and a relu\n", "activation. The output of the generator is fed through a tanh function\n", "to return it to the input data range of $[-1,1]$. It is worth\n", "noting the existence of the batch norm functions after the\n", "conv-transpose layers, as this is a critical contribution of the DCGAN\n", "paper. These layers help with the flow of gradients during training.\n", "\n", "Notice, the how the inputs we set in the input section (*nz*, *ngf*, and\n", "*nc*) influence the generator architecture in code. *nz* is the length\n", "of the z input vector, *ngf* relates to the size of the feature maps\n", "that are propagated through the generator, and *nc* is the number of\n", "channels in the output image (set to 3 for RGB images, in our case 1 for grayscale). Below is the\n", "code for the generator." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# Generator Code\n", "\n", "class Generator(nn.Module):\n", " def __init__(self, ngpu):\n", " super(Generator, self).__init__()\n", " self.ngpu = ngpu\n", " self.main = nn.Sequential(\n", " # input is Z, going into a convolution\n", " nn.ConvTranspose2d(nz, ngf*4, 3, 2, 0, bias=False),\n", " nn.BatchNorm2d(ngf*4),\n", " nn.ReLU(True),\n", " # state size. (ngf*4) x 3 x 3\n", " nn.ConvTranspose2d(ngf*4, ngf*2, 3, 2, 0, bias=False),\n", " nn.BatchNorm2d(ngf*2),\n", " nn.ReLU(True),\n", " # state size. (ngf*2) x 8 x 8\n", " nn.ConvTranspose2d(ngf*2, ngf, 3, 2, 0, bias=False),\n", " nn.BatchNorm2d(ngf),\n", " nn.ReLU(True),\n", " # state size. (ngf) x 16 x 16\n", " nn.ConvTranspose2d(ngf, nc, 3, 2, 2, 1, bias=False),\n", " nn.Tanh()\n", " # state size. (nc) x 28 x 28\n", " )\n", "\n", " def forward(self, input):\n", " return self.main(input)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Discriminator" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As mentioned, the discriminator, $D$, is a binary classification\n", "network that takes an image as input and outputs a scalar probability\n", "that the input image is real (as opposed to fake). Here, $D$ takes\n", "a 1x28x28 input image, processes it through a series of Conv2d,\n", "BatchNorm2d, and LeakyReLU layers, and outputs the final probability\n", "through a Sigmoid activation function. This architecture can be extended\n", "with more layers if necessary for the problem, but there is significance\n", "to the use of the strided convolution, BatchNorm, and LeakyReLUs. The\n", "DCGAN paper mentions it is a good practice to use strided convolution\n", "rather than pooling to downsample because it lets the network learn its\n", "own pooling function. Also batch norm and leaky relu functions promote\n", "healthy gradient flow which is critical for the learning process of both\n", "$G$ and $D$." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "class Discriminator(nn.Module):\n", " def __init__(self, ngpu):\n", " super(Discriminator, self).__init__()\n", " self.ngpu = ngpu\n", " self.main = nn.Sequential(\n", " # input is (nc) x 28 x 28\n", " nn.Conv2d(nc, ndf, 4, 2, 1, bias=False),\n", " nn.LeakyReLU(0.2, inplace=True),\n", " # state size. (ndf) x 14 x 14\n", " nn.Conv2d(ndf, ndf*2, 4, 2, 1, bias=False),\n", " nn.BatchNorm2d(ndf*2),\n", " nn.LeakyReLU(0.2, inplace=True),\n", " # state size. (ndf*2) x 7 x 7\n", " nn.Conv2d(ndf*2, ndf*4, 4, 2, 1, bias=False),\n", " nn.BatchNorm2d(ndf*4),\n", " nn.LeakyReLU(0.2, inplace=True),\n", " # state size. (ndf*4) x 3 x 3\n", " nn.Conv2d(ndf*4, 1, 4, 2, 1, bias=False),\n", " #nn.Sigmoid() # not needed with nn.BCEWithLogitsLoss()\n", " )\n", "\n", " def forward(self, input):\n", " return self.main(input)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Loss Functions and Optimizers" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "With $D$ and $G$ setup, we can specify how they learn\n", "through the loss functions and optimizers. We will use the Binary Cross\n", "Entropy loss\n", "([nn.BCELoss](https://pytorch.org/docs/stable/nn.html#torch.nn.BCELoss))\n", "function which is defined in PyTorch as:\n", "\n", "\\begin{align}\\ell(x, y) = L = \\{l_1,\\dots,l_N\\}^\\top, \\quad l_n = - \\left[ y_n \\cdot \\log x_n + (1 - y_n) \\cdot \\log (1 - x_n) \\right]\\end{align}\n", "\n", "Notice how this function provides the calculation of both log components\n", "in the objective function (i.e. $log(D(x))$ and\n", "$log(1-D(G(z)))$). We can specify what part of the BCE equation to\n", "use with the $y$ input. This is accomplished in the training loop\n", "which is coming up soon, but it is important to understand how we can\n", "choose which component we wish to calculate just by changing $y$\n", "(i.e. GT labels).\n", "\n", "Next, we define our real label as 1 and the fake label as 0. These\n", "labels will be used when calculating the losses of $D$ and\n", "$G$, and this is also the convention used in the original GAN\n", "paper. Finally, we set up two separate optimizers, one for $D$ and\n", "one for $G$. As specified in the DCGAN paper, both are Adam\n", "optimizers with learning rate 0.0002 and Beta1 = 0.5. For keeping track\n", "of the generator’s learning progression, we will generate a fixed batch\n", "of latent vectors that are drawn from a Gaussian distribution\n", "(i.e. fixed_noise) . In the training loop, we will periodically input\n", "this fixed_noise into $G$, and over the iterations we will see\n", "images form out of the noise." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Training" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, now that we have all of the parts of the GAN framework defined,\n", "we can train it. Be mindful that training GANs is somewhat of an art\n", "form, as incorrect hyperparameter settings lead to mode collapse with\n", "little explanation of what went wrong. Here, we will closely follow\n", "Algorithm 1 from Goodfellow’s paper, while abiding by some of the best\n", "practices shown in [ganhacks](https://github.com/soumith/ganhacks).\n", "Namely, we will “construct different mini-batches for real and fake”\n", "images, and also adjust G’s objective function to maximize\n", "$logD(G(z))$. Training is split up into two main parts. Part 1\n", "updates the Discriminator and Part 2 updates the Generator.\n", "\n", "**Part 1 - Train the Discriminator**\n", "\n", "Recall, the goal of training the discriminator is to maximize the\n", "probability of correctly classifying a given input as real or fake. In\n", "terms of Goodfellow, we wish to “update the discriminator by ascending\n", "its stochastic gradient”. Practically, we want to maximize\n", "$log(D(x)) + log(1-D(G(z)))$. Due to the separate mini-batch\n", "suggestion from ganhacks, we will calculate this in two steps. First, we\n", "will construct a batch of real samples from the training set, forward\n", "pass through $D$, calculate the loss ($log(D(x))$), then\n", "calculate the gradients in a backward pass. Secondly, we will construct\n", "a batch of fake samples with the current generator, forward pass this\n", "batch through $D$, calculate the loss ($log(1-D(G(z)))$),\n", "and *accumulate* the gradients with a backward pass. Now, with the\n", "gradients accumulated from both the all-real and all-fake batches, we\n", "call a step of the Discriminator’s optimizer.\n", "\n", "**Part 2 - Train the Generator**\n", "\n", "As stated in the original paper, we want to train the Generator by\n", "minimizing $log(1-D(G(z)))$ in an effort to generate better fakes.\n", "As mentioned, this was shown by Goodfellow to not provide sufficient\n", "gradients, especially early in the learning process. As a fix, we\n", "instead wish to maximize $log(D(G(z)))$. In the code we accomplish\n", "this by: classifying the Generator output from Part 1 with the\n", "Discriminator, computing G’s loss *using real labels as GT*, computing\n", "G’s gradients in a backward pass, and finally updating G’s parameters\n", "with an optimizer step. It may seem counter-intuitive to use the real\n", "labels as GT labels for the loss function, but this allows us to use the\n", "$log(x)$ part of the BCELoss (rather than the $log(1-x)$\n", "part) which is exactly what we want.\n", "\n", "Finally, we will do some statistic reporting and at the end of each\n", "epoch we will push our fixed_noise batch through the generator to\n", "visually track the progress of G’s training. The training statistics\n", "reported are:\n", "\n", "- **Loss_D** - discriminator loss calculated as the sum of losses for\n", " the all real and all fake batches ($log(D(x)) + log(D(G(z)))$).\n", "- **Loss_G** - generator loss calculated as $log(D(G(z)))$\n", "- **D(x)** - the average output (across the batch) of the discriminator\n", " for the all real batch. This should start close to 1 then\n", " theoretically converge to 0.5 when G gets better. Think about why\n", " this is.\n", "- **D(G(z))** - average discriminator outputs for the all fake batch.\n", " The first number is before D is updated and the second number is\n", " after D is updated. These numbers should start near 0 and converge to\n", " 0.5 as G gets better. Think about why this is.\n", "\n", "**Note:** This step might take a while, depending on how many epochs you\n", "run and if you removed some data from the dataset." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Comparison of the saturating and non-saturating Generator loss**\n", "- Saturating loss: $log(1-D(G(z)))$, derivation: $-1/(1-D(G(z)))$\n", "- Non-saturating loss: $-log(D(G(z)))$, derivation: $-1/D(G(z)$\n", "\n", "If $D$ classifies the images from $G$ as fake the saturating loss results in a derivation of approx. -1 and the non-saturating loss of less than -$\\infty$. The higher derivation from the non-saturating loss helps $G$ to obtain higher gradients and to learn faster when starting out to create better fake images. See figure below for a plot of the functions and their derivations.\n", "\n", "For more details, see the excellent [NIPS 2016 GAN tutorial](https://arxiv.org/abs/1701.00160), especially figure 16 (p.26)." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "x_data = np.arange(0.001,1,0.001)\n", "sat_loss_data = np.log(1-x_data)\n", "sat_loss_derivation_data = -1/(1-x_data)\n", "non_sat_loss_data = -np.log(x_data)\n", "non_sat_loss_derivation_data = -1/x_data" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "data": { "image/png": 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XaP47duzghx9+4D//+Q916tTh+++/Z/PmzSxfvtzWHfryyy8TExNDQkICjzzySIE8du3axbfffsvvv//O888/T1ZWFhs3buTTTz9ly5YtfP3118THxzstf/v27bRr165Y9yQzM5OxY8eyfPly/vjjD7Kzs5k3bx7Jycn897//Zfv27WzdupVnn30W0AL322+/ZcuWLaxcubJYZRmuDNekOxBXjB+v/byNGwf9+2sfb0FB5V0rg8FgqIQ8/DAkJJRunlFR8MYbLpOrVq3Kpk2bWLt2LWvWrGH48OG8/PLLjB07ljVr1vDqq6+Snp7OmTNnCA0N5ZZbbilW8bfeeqtN3GVlZTFlyhQSEhLw9PQkMTHRrTwGDBiAj48PPj4+1KlThxMnTvDrr78yaNAgfH198fX1datef/zxByNHjuTChQv8/e9/Z/jw4U7P+/PPP2nWrBmtWrUCYMyYMbzzzjtMmTIFX19f7r77bgYOHGizCnbr1o2xY8dyxx13MHToULfaZLiyGItbPu66CxYvhl9/he7dzWxTg8FgqEx4enoSGxvL888/z9tvv82nn35KZmYmkydPZsWKFfzxxx9MnDjRpYsGLy8vcnNzAQqcExAQYNufM2cOdevWZcuWLcTHx3Pp0iW36mftxrXWtbDxcvkJDQ1l8+bNAISHh/Prr7/Sr18/MkowvsfLy4vff/+d2267jVWrVtG3b18A3n33Xf72t79x6NAh2rdvT3JycrHzNpQtxuLmhBEj9Lqmw4ZBdDR8+SV06FDetTIYDIZKRCGWsbLizz//xMPDg5YtWwKQkJBAkyZNbAKsVq1apKWlsWLFCm677TYAAgMDOX/+vC2Ppk2bsmnTJvr168enn37qsqzU1FQaNWqEh4cHCxcuJCcnx2l+7tCtWzfuuecenn76abKzs1m1ahWTJk0qcN7TTz/N448/zhdffEGjRo0AihRtrVu3JikpiT179tCiRQsWL15Mz549SUtLIz09nf79+9OtWzeaN28OwN69e4mOjiY6Opqvv/6aQ4cOUbNmzWK1x1C2GOHmgptugvXrYcAAiImBd97RXajGRZHBYDBUTNLS0njggQdISUnBy8uLFi1a8P777xMcHMzEiRMJCwujXr16dOzY0XbN2LFjuffee/Hz82PDhg3MmDGDu+++m+nTp9smJjhj8uTJDBs2jEWLFtG3b1+bNS4iIgJPT08iIyMZO3Ysbdu2LbLeHTt25NZbbyUiIoK6desSHh5OkJNxOv379+fUqVP069ePnJwcAgMDiYyM5Oabb3aZt6+vL/Pnz+f2228nOzubjh07cu+993LmzBkGDRpEZmYmIsLrr78OwNSpU9m9ezciwo033khkZGSR9TdcWZSIlHcdLht/f39JL6PZBCdPagvcjz/CmDFawDlYyw2lQFxcXKE/kIaKi3l2lZvSfn47d+7khhtuKLX8riXS0tKoWrUq6enp9OjRg/fff7/IiQhmyavKgbPvhVJqk4iUqC/PjHErgjp14NtvYcYM7TIkOhq2bCnvWhkMBoPhamLSpElERUXRrl07hg0bVuzZo4ZrB9NV6gaenjBzJnTrBqNHQ8eOMH26XufU27u8a2cwGAyGyo6j016DoTCMxa0Y/OUvsH27Xpz+ueegc2fYurW8a2UwGAwGg+FawQi3YlKzJnz0EXz6KRw+DO3awUMPgZOl4gwGg8FgMBhKFSPcSsjQobBzJ9xzD7z9NrRqBfPng8X9j8FgMBgMBkOpY4TbZVCjhp5lGh8PLVrolRc6dtTLZl0Fk3UNBoPBYDBUMIxwKwXatoV16/SKC8nJ0KeP9gP3++/lXTODwWC4tvD09CQqKorQ0FAiIyP5xz/+YVsJoTh07dq1ROUnJSXlmWgQHx9vW8f0SvL555+zY8eOUssvJSWFf/7zn7bjo0eP2pwYlwbffPMNnTp1ok2bNkRFRTF8+HAOOlm6aObMmcyePbvUyq2MGOFWSnh4wKhR8Oef8Oab8Mcf2nXILbfAhg3lXTuDwWC4NvDz8yMhIYHt27fz/fff8/XXX/P888+7fb11Car169eXqPz8wq1Dhw7MnTu3RHldDiURboUtv5VfuDVo0IAVK1aUuH6ObNu2jQceeICFCxeya9cuEhISGDlyJElJSaWS/9WGEW6ljI8PPPgg7N0LL76oRVvXrtCrF3z3nelCNRgMhitFnTp1eP/993n77bcREXJycpg6dSodO3YkIiKC9957D9COiGNiYrj11lsJCQkB9IL1AHfeeSerV6+25Tl27FhWrFhBUlISMTExtGvXjnbt2tmE3lNPPcXatWuJiopizpw5xMXF2RZwP3PmDIMHDyYiIoLOnTuz1eKWYObMmYwfP57Y2FiaN2/uVOjl5OQwduxYwsLCCA8PZ86cOQD861//omPHjkRGRjJs2DDS09NZv349K1euZOrUqURFRbF3715iY2OJj48H4PTp0zRt2hSABQsWcOutt9K7d29uvPFG0tLSuPHGG2nXrh3h4eF88cUXtnbt3buXqKgopk6dSlJSEmFhYbY8hg4dSt++fWnZsiVPPPGErd4ffvghrVq1olOnTkycOJEpU6YUaNsrr7zCtGnT8jipvfXWW+nRo0ehzzchIYHOnTsTERHBkCFDOHv2LABz584lJCSEiIgI7rzzTgB+/vlnoqKiiIqKom3btsVelqxCISKVPvj5+UlFJS1N5PXXRRo0EAGRdu1EFi4Uycws75pVHNasWVPeVTCUEPPsKjel/fx27NhRqvmVhICAgAJxQUFBcvz4cXnvvffkxRdfFBGRzMxMad++vezbt0/WrFkj/v7+sm/fvgL5fPbZZ3LXXXeJiMjFixelUaNGkp6eLhcuXJCMjAwREUlMTJT27duLiL6nAwYMsOXjeDxlyhSZOXOmiIj8+OOPEhkZKSIiM2bMkC5dukhmZqacOnVKatSoIZcuXcrThvj4eLnppptsx2fPnpVz587J6dOnbXHPPPOMzJ07V0RExowZI5988oktrWfPnrJx40YRETl16pQ0adJERETmz58vDRs2lOTkZBERycrKktTUVNt5119/veTm5sr+/fslNDTUlp/j8fz586VZs2aSkpIiGRkZct1118nBgwflyJEj0qRJE0lOTpZLly5J9+7d5f777y/wfNq2bSsJCQkF4p0xY8YMee2110REJDw8XOLi4kREZPr06fLQQw+JiEj9+vUl0/Ine/bsWRERGThwoKxbt05ERM6fPy9ZWVlulVcaOPteAPFSQs1jLG5lTEAAPPII7NsH778PGRl66azGjbUT3yNHyruGBoPBUEbExhYM1u629HTn6QsW6PTTpwumXSbfffcdixYtIioqiujoaJKTk9m9ezcAnTp1olmzZgWu6devH2vWrOHixYt8/fXX9OjRAz8/P7Kyspg4cSLh4eHcfvvtbnVLrlu3jtGjRwPQu3dvkpOTOXfuHAADBgzAx8eHWrVqUadOHU6cOJHn2ubNm7Nv3z4eeOABvvnmG6pVqwbobsaYmBjCw8NZunQp27dvL/Z9+ctf/kKNGjUAbcyZNm0aERER3HTTTRw5cqRAXZxx4403EhQUhK+vLyEhIRw4cIDff/+dnj17UqNGDby9vbn99tuLzCc5OZmoqChatWpV6Fi21NRUUlJS6NmzJwBjxozhl19+AfR6sSNHjmTJkiV4eel1Brp168ajjz7K3LlzbWvZVlaMcLtC+PjAxInage/332vnvbNmQdOmcMcduhs1J6e8a2kwGAxXF/v27cPT05M6deogIrz11lskJCSQkJDA/v376dOnD4Btkfj8+Pr6Ehsby7fffsvy5csZPnw4AHPmzKFu3bps2bKF+Ph4Ll26dFn19PHxse17enoWGG9WvXp1tmzZQmxsLO+++y4TJkwAdNft22+/zR9//MGMGTPIzMx0mr+Xl5dtkkb+cxzbvnTpUk6dOsWmTZtISEigbt26LvMsTv0LIzQ0lM2bNwNQs2ZNEhISmDRpEmlpaW7n4cjq1au5//772bx5Mx07diQ7O5unnnqKDz74gIyMDLp168auXbtKlHdFoPJKzkqKUnrG6U03aSvcO+/oF8xPPtFWuDFjYNw4aN68vGtqMBgMl0lcnOs0f//C02vVKjzdDU6dOsW9997LlClTUEpx8803M2/ePHr37o23tzeJiYk0bNiwyHyGDx/OBx98QHx8PAssFsHU1FQaNWqEh4cHCxcuJMfy5h0YGOhy/FRMTAxLly5l+vTpxMXFUatWLZvlrChOnz5NlSpVGDZsGK1bt2bUqFGAXmi+fv36ZGVlsXTpUlt78tejadOmbNq0iU6dOhU6qSA1NZU6derg7e3NmjVrOHDgQJHtckXHjh15+OGHOXv2LIGBgXz66aeEh4cXOO+JJ55gyJAhdO7c2TbOLT09vdC8g4KCqF69OmvXriUmJobFixfTs2dPcnNzOXToEL169aJ79+4sW7aMtLQ0kpOTCQ8PJzw8nI0bN7Jr1y7atGlTrPZUFIzFrRxp3hz+8Q84ehQ+/hhCQ7UV7vrr9WSGf/8bLGMtDQaDweAGGRkZNncgN910E3369GHGjBkATJgwgZCQENq1a0dYWBj33HOPW5ahPn368PPPP3PTTTdRpUoVACZPnszChQuJjIxk165dNqtVREQEnp6eREZG2iYQWJk5cyabNm0iIiKCp556ioULF7rdriNHjhAbG0tUVBSjRo3ipZdeAuDFF18kOjqabt265REid955J6+99hpt27Zl7969PP7448ybN4+2bdty+vRpl+WMHDmS+Ph4wsPDWbRokS3PmjVr0q1bN8LCwpg6dapbdW7YsCHTpk2jU6dOdOvWjaZNmxIUFFTgvPDwcN58803uuusuWrduTbdu3di5cycjRowoNP+FCxcydepUIiIiSEhI4LnnniMnJ4dRo0YRHh5O27ZtefDBBwkODuaNN94gLCyMiIgIvL296devn1ttqIgouQqmOfr7+0tR6ryycOgQLFqkrXB79uhF7Pv2hTvvhFtvBctEp6uKuLg4Ykth/IrhymOeXeWmtJ/fzp0788wMNJQt58+fJzAwsLyrUShpaWlUrVqV7OxshgwZwvjx4xkyZEh5V+uK4ux7oZTaJCIdSpKfsbhVMBo3hmeegcRE2LhRuxb53/9g5EioUwduv11b5yzjWQ0Gg8FgqLDMnDmTqKgowsLCaNasGYMHDy7vKlV6zBi3CopS0KGDDq++CuvXw7JleizcihXaEterFwwapC1xjRqVd40NBoPBYMjLtb7KQVlQIS1uSqnGSqk1SqkdSqntSqmHyrtO5YmHB3TvrhezP3oU1q6Fhx6C/fvh/vu1la5DB+3wNz7eLHRvMBgMBsPVSoUUbkA28JiIhACdgfuVUiHlXKcKgaenFnGvvaaX19qxA156SVvgZszQi9zXrQsjRuhxckePlneNDQaDwWAwlBYVsqtURI4Bxyz755VSO4GGQOmtmHsVoBTccIMOTz0FJ07ADz/At99qv3D/+Y8+Lzwcbr4Z+vSBbt30LHyDwWAwGAyVjwop3BxRSjUF2gK/lW9NKj516+pJDCNH6u7SrVu1gPv2W5g7F2bP1pa5Tp2gZ0/tiLxrV726g8FgMBgMhopPhXYHopSqCvwMzBKRz/KlTQImAXh7e7f/7rvvyqGGlYeMDA+2bg1my5ZgtmwJYteuauTmKjw9c2nd+jxRUSlERqYSGppKQMCVXcLBOl3cUPkwz65yU9rPLygoiBYtWpRafpWVrVu3cuzYMW6++eZSy/Odd95h3Lhx+Fu6TIYNG8a//vUv21JVJeXAgQPccccd/PabsY2UFXv27CE1NTVPXK9evUrsDqTCCjellDewCvhWRF4v7NyryY/blSItTc9UjYvTYeNGyM7W3a+hodCliz20aqUnSJQVxhdY5cU8u8qN8eNWNixYsID4+Hjefvttt6+xLSDu4se2adOmxMfHU6tWLVtcafhxS0pKYuDAgWzbtu2y8jG45prw46aUUsCHwM6iRJuhZFStqse8/f3vWsClpOhu1ZkztWuRTz6B8eP1+LlataB/f3jhBb3OqvEhZzAYKiJJSUnccMMNTJw4kdDQUPr06UNGRgYACQkJdO5JxPdlAAAgAElEQVTcmYiICIYMGcJZy7I0sbGxPPnkk3Tq1IlWrVqxdu1ap3nPnTuXkJAQIiIiuPPOOwH4/fff6dKlC23btqVr1678+eefXLp0ieeee47ly5cTFRXF8uXLmTlzZh63GGFhYSQlJZGUlETr1q256667CAsL49ChQ9x333106NCB0NBQ24oPc+fO5ejRo/Tq1YtevXoBWsglJycX2uaNGzcSERFBVFQUU6dOJSwsrND7l5mZybhx42yrDqxZswaA7du306lTJ6KiooiIiGD37t1cuHCBAQMGEBkZSVhYGMuXLy/pYzMUF6vKr0gB6A4IsBVIsIT+rs738/MTQ+mSkyOyY4fIhx+KTJggEhoqopQI6NCqlchf/yoye7bImjUiqaklL2vNmjWlVW3DFcY8u8pNaT+/HTt2lGp+xWX//v3i6ekp//vf/0RE5Pbbb5fFixeLiEh4eLjExcWJiMj06dPloYceEhGRnj17yqOPPioiIqtXr5Ybb7zRad7169eXzMxMERE5e/asiIikpqZKVlaWiIh8//33MnToUBERmT9/vtx///22a2fMmCGvvfaa7Tg0NFT2798v+/fvF6WUbNiwwZaWnJwsIiLZ2dnSs2dP2bJli4iINGnSRE6dOmU7r0mTJrY8XLU5NDRU1q9fLyIiTz75pISGhjq9Z9b42bNny7hx40REZOfOndK4cWPJyMiQKVOmyJIlS0RE5OLFi5Keni4rVqyQCRMm2PJJSUlxet8Mzr8XQLyUUCNVyMkJIrIOUOVdj2sZDw/7jNXx43VcSgr8/jv89hts2qT9yVlnroLuUm3f3h7atQM31082GAxXGQ8/DAkJpZtnVBS88Ubh5zRr1oyoqCgA2rdvT1JSEqmpqaSkpNCzZ08AxowZw+233267ZujQoXnOd0ZERAQjR45k8ODBNu//qampjBkzht27d6OUIisrq9htatKkCZ07d7Ydf/zxx7z//vtkZ2dz7NgxduzYQURERLHbnJKSwvnz5+nSpQsAI0aMYNWqVYXms27dOh544AEA2rRpQ5MmTUhMTKRLly7MmjWLw4cPM3ToUFq2bEl4eDiPPfYYTz75JAMHDiQmJqbYbTeUjArZVWqomAQH6+7V6dPh88/1uqonTsBXX2nnvyEhsG4dPP64XtUhKAhatIChQ3UX7Gefwe7dxkGwwWAoO3x8fGz7np6ebi0ib73G8fxx48YRFRVF//79AVi9ejX3338/mzdvpmPHjmRnZzN9+nR69erFtm3b+PLLL8nMzHSav5eXF7kOP3yO5wU4TOvfv38/s2fP5scff2Tr1q0MGDDAZZ6X2+biMGLECFauXImfnx/9+/fnp59+olWrVmzevJnw8HCeffZZXnjhhVIt0+CaCmlxM1Qe6tSBfv10sHLyJGzerK1yW7ZotyRffGEXbP7+EBYGERE65OQEEREBlzk5ymAwVCCKsoxdSYKCgqhevTpr164lJiaGxYsX26xvrpg/f75tPzc3l0OHDtGrVy+6d+/OsmXLSEtLIzU1lYYNGwJ6QoKVwMBAzp8/bztu2rSpzdq1efNm9u/f77TMc+fOERAQQFBQECdOnODrr7+2TR6x5uk4OaEwgoODCQwM5LfffiM6Opply5YVeU1MTAxLly6ld+/eJCYmcvDgQVq3bs2+ffto3rw5Dz74IAcPHmTr1q20adOGGjVqMGrUKIKDg/nggw/cqpfh8jHCzVDq1KkDffvqYCUjQ6/ysHWrPfz3v6C/62155BFo2FBb7UJC7N20N9wAtWuXV0sMBsPVwsKFC7n33ntJT0+nefPmeYRZUeTk5DBq1ChSU1MRER588EGCg4N54oknGDNmDH/7298YMGCA7fxevXrx8ssvExUVxdNPP82wYcNYtGgRoaGhREdH06pVK6flREZG0rZtW9q0aUPjxo3p1q2bLW3SpEn07duXBg0a2CYNFMWHH37IxIkT8fDwoGfPngQFBRV6/uTJk7nvvvsIDw/Hy8uLBQsW4OPjw8cff8zixYvx9vamXr16TJs2jY0bNzJ16lQ8PDzw9vZm3rx5btXJcPlUWHcgxcG4A6mciMDx47BkyRaUimTrVi3udu2CCxfs59WsqQVcfkHXuLF2X2IoP4w7kMqNcQdSuSnKHYijn76XX36ZY8eO8eabb16p6hkslLY7EGNxM5QbSkH9+tCx41kc/ztyc+HwYdi50x527IBPP4XkZPt5AQHQpo2eFNGyZd5gul0NBsO1zurVq3nppZfIzs6mSZMmebpzDZUXI9wMFQ4PD7juOh3yOx4/dSqvoNu5E/7v/2D58ryTHmrUKCjmrKGI3gKDwWC4Khg+fDjDhw8v72oYShkj3AyVitq1dejRI2/8xYuwf7+etbp7NyQm6u3PP8OSJQXzaNkSmjWD5s3zbhs2BE/PK9ceg8FgMBiKgxFuhqsCHx/dbdqmTcG0jAzYu9cu6qzB6ofO0VLn7Q1NmtiFXH5xV726GVdnMBgMhvLDCDfDVY+fn3Y/4my1l0uX4OBBba3bvx/27bNvN23KO6YOtEPh5s2haVN7d65jqFu3bNd1NRgMBsO1jRFuhmuaKlW0k+AWLZynnzvnXNTt2QM//ggOrpoAbbFr3FiLuCZNCgq7xo31pAqDwWAwGEqCEW4GQyFUqwaRkTo4IzUVDhzQVrv84aef4MiRgitF1KxpF3ENG9pDo0b2fbNUmMFQMjw9PQkPDycrKwsvLy/uuusuHnnkETyKaQrv2rUr69evL3b5SUlJrF+/nhEjRgAQHx/PokWLmDt3brHzqojkb19psGDBAvr06UODBg0AmDBhAo8++ighISGXnfeJEyd45JFH+L//+z+qV69OlSpVeOKJJxgyZEie85KSkhg4cCDbtm277DLLGiPcDIbLICjIvgKEM7Kz4ehR58Ju/369RNiZMwWvq1o1r6hzFurVMxMpDIb8+Pn5kWBZJPXkyZOMGDGCc+fO8fzzz7t1fXZ2Nl5eXiUSbaAFwEcffWQTNh06dKBDhxK566qQ5G+fu+Tk5ODp4gdrwYIFhIWF2YRbaa3CICIMHjyYMWPG8NFHHwFw4MABVq5cWSr5lxslXZ2+IgU/Pz8xVF7WrFlT3lUoV9LTRfbsEfn5Z5GPPhJ57TWRhx8Wuf12ka5dRa67TsTLS0S7LLYHDw+RBg1EOnYUGTxYZPJkkRdeEPnXv0S+/FJk40aRw4dFLl0qu7pf68+uslPaz2/Hjh2lml9JCAgIyHO8d+9eqVGjhuTm5kp2drY8/vjj0qFDBwkPD5d3331XRPR96N69u9xyyy3SsmXLPPkMHz5cVq1aZctvzJgx8sknn8j+/fule/fu0rZtW2nbtq38+uuvIiISHR0t1apVk8jISHn99ddlzZo1MmDAABERSU5OlkGDBkl4eLhER0fLli1bRERkxowZMm7cOOnZs6c0a9ZM3nzzTZdtmzZtmkREREh0dLTs2bNHRET2798vvXr1kvDwcOndu7ccOHDAVtcHHnhAunTpIs2aNZNPPvnEab4ff/yxhIaGSkREhMTExNjydKd98+fPl/vvv9+W14ABA2yfq4CAAHn00UclIiJC1q5dK88//7x06NBBQkNDZeLEiZKbmyuffPKJBAQESKtWrSQyMlLS09OlZ8+esnHjRqdtPn78uIiI7NmzR6KjoyUsLEyeeeaZAs9dROSHH36QHj16OG1zfvbv3y+hoaEiIpKRkSFjx46VsLAwiYqKkp9++klERLZt2yYdO3aUyMhICQ8Pl8TERElLS5P+/ftLRESEhIaGyrJlywrk7ex7AcRLCTVPuYuu0ghGuFVuzJ9/0eTkiBw/LrJpk8jKlSLz5ok8+6zIuHEiffqIhIaK1KhRUNxZQ61aIuHhIn/5i8jo0SJTp4q8/roWij/9JLJzp8jZsyK5ucWrl3l2lZtrQbiJiAQFBcnx48flvffekxdffFFERDIzM6V9+/ayb98+WbNmjfj7+8u+ffsK5PPZZ5/JXXfdJSIiFy9elEaNGkl6erpcuHBBMjIyREQkMTFR2rdvLyKSR6jlP54yZYrMnDlTRER+/PFHiYyMFBEt3Lp06SKZmZly6tQpqVGjhlxy8sYFyMqVK0VEZOrUqfLss8+KiMjAgQNlwYIFIiLy4YcfyqBBg0REC7fbbrtNcnJyZPv27XL99dc7vWdhYWFy+PBhERE5e/asiIjb7StMuAGyfPlyW1pycrJtf9SoUba2OAq1/Mf522x9fgMGDJCPPvpIRETmzZvn9Lm/+eab8vDDDzttc34chdvs2bNl3LhxIiKyc+dOady4sWRkZMiUKVNkyZIlIqI/C+np6bJixQqZMGGCLZ+UlJQCeZe2cDNdpQZDJcDDQ89YrVsX2rVzfd7Fi3DihF5KzBqOHcu7n5io9y9eLHi9r6/ugnUMdevq9WcdQ+3a2jWKwVAYzlbTuuMOmDwZ0tOhf/+C6WPH6nD6NNx2W960uLjLq893333H1q1bWbFiBQCpqans3r2bKlWq0KlTJ5o1a1bgmn79+vHQQw9x8eJFvvnmG3r06IGfnx+pqalMmTKFhIQEPD09SUxMLLL8devW8emnnwLQu3dvkpOTOXfuHAADBgzAx8cHHx8f6tSpw4kTJ2jUqFGe66tUqcLAgQMBaN++PV999RUAGzZs4LPPPgNg9OjRPPHEE7ZrBg8ejIeHByEhIZw4ccJpvbp168bYsWO54447GDp0KABZWVnFbl9+PD09GTZsmO14zZo1vPrqq6Snp3PmzBlCQ0O55ZZbCs0jf5u///57W5s///xzAEaMGMHjjz9eZH3uv/9+1q1bR5UqVdi4caPL89atW8cDDzwAQJs2bWjSpAmJiYl06dKFWbNmcfjwYYYOHUrLli0JDw/nscce48knn2TgwIHExMQUWY/LxQg3g+EqwsfHPoO1MEQgJaVwgbdnj/Z1d+aMPj8/np4QFNSFRo2cC7v8cQEBxgee4cqzb98+PD09qVOnDiLCW2+9xc35lmSJi4sjwMV0b19fX2JjY/n2229Zvnw5d955JwBz5syhbt26bNmyhdzcXHx9fS+rnj4+PrZ9T09PsrOzC5zj7e2NsnyJXJ1TWL5i+SI/88wzrF69GoCEhATeffddfvvtN1avXk379u3ZtGkTb731llvt8/LyItdhBlZmZqZt39fX1zauLTMzk8mTJxMfH0/jxo2ZOXNmnnNdUZI2WwkNDbUJZYB33nmH06dPl3jM4YgRI4iOjmb16tX079+f9957j969e7N582a++uornn32WW688Uaee+65EuXvLka4GQzXIEppi1n16lDUmuDZ2dqf3cmT9nDqlN4mJCTj5dWAkyfht990XH4XKVb8/JyLu1q17KFmTft+cLDxiVfZKcxC5u9feHqtWpdvYTt16hT33nsvU6ZMQSnFzTffzLx58+jduzfe3t4kJibSsGHDIvMZPnw4H3zwAfHx8bb1PlNTU2nUqBEeHh4sXLiQnJwcAAIDAznv4ksQExPD0qVLmT59OnFxcdSqVYtqpTCFvGvXrixbtozRo0ezdOnSIq0+s2bNYtasWbbjvXv3Eh0dTXR0NF9//TWHDh1yu31Nmzbln//8J7m5uRw5coTff//daZlWkVarVi3S0tJYsWIFt1lMqoXdM1d07tyZTz/9lOHDh7Ns2TKn5/Tu3Ztp06Yxb9487rvvPgDS09OLzNv6nHr37k1iYiIHDx6kdevW7Nu3j+bNm/Pggw9y8OBBtm7dSps2bahRowajRo0iODi41CZWFIYRbgaDoVC8vOzdtPmJi0skNrZBnrjMTLuwcxWOH4etW3W37qVLzsv18NBrzuYXdK72jdgzAGRkZBAVFWVzBzJ69GgeffRRQLuZSEpKol27dogItWvXtnW3FUafPn0YPXo0gwYNokqVKgBMnjyZYcOGsWjRIvr27Wuz2EVERODp6UlkZCRjx46lbdu2tnxmzpzJ+PHjiYiIwN/fn4ULF5ZKm9966y3GjRvHa6+9Ru3atZk/f36xrp86dSq7d+9GRLjxxhuJjIx0u30PP/wwzZo1IyQkhBtuuIF2LsZyBAcHM3HiRMLCwqhXrx4dO3a0pY0dO5Z7770XPz8/NmzY4Fad33jjDUaNGsWsWbPo27cvQU4WoVZK8fnnn/PII4/w6quvUrt2bQICAnjllVcKzXvy5Mncd999hIeH4+XlxYIFC/Dx8eHjjz9m8eLFeHt7U69ePaZNm8bGjRuZOnUqHh4eeHt7M2/ePLfqfzkocdYHUsnw9/cXd1S0oWISFxdHrLPBMIYKz+U+OxG4cEGPZ0pO1ltrcDzOn1YSsVezpk5zDNWr662//7XZjVva372dO3dyQ1EmXEOpcf78eQIDA8u7GuVCeno6fn5+KKVYtmwZ//nPf/jiiy/Ku1pOcfa9UEptEpES9dkai5vBYCg3lNI+66pW1cuIuYOj2CtK4O3fDxs3Fi72QK+gYRVxjoKusP0aNbSFz/jSMxiuPJs2bWLKlCmICMHBwfz73/8u7ypdMYxwMxgMlYqSir20NDh7VoczZ3RwtX/kCPzxh94vauhNUFDRYi842B6Cguxbb+/Lvh0GwzVJTEwMW7ZsKe9qlAtGuBkMhqsepSAwUIeiZtzmJytLz8AtSuxZ9w8dsu8XNQEuICCvqCtOMMLPYLg2McLNYDAYCsHbW8+ArV27eNdZrXwpKe6HY8dg5069n5oKlol8LvH3d1/kVatm31r386+jWxqIiM19g8FwrVMW8wiMcDMYDIYywNHK17hx8a+3juUrjvA7cQL+/NN+XJTwg1gCAwsKuuLuW330+fr6kpycTM2aNY14M1zziAjJycmX7eMvP0a4GQwGQwXEcSxfPgf6buEo/M6d0xa8c+fy7m/dmkT16k3zxKekwIED9nPT0oouy8PD2g3diEceOUyTJqfw9NRt8PDQwXHf8Tj/OUbvuU9mZmapiwJD6eLr61tgBYzLxQg3g8FguApxFH6uiItLIja2aaH55OToCRquxF/efW++/LKZ03Pc9djk42O3VFatat93Jzg7/2qe9RsXF5fHT5zh2sAIN4PBYDC4xNPTPlbucsjKsgvAc+f0fmEhLc2+f/YsHDyYN93d8Xl+fu6LvPzp1hAQYN/6+BiroKF8McLNYDAYDGWOt7fdRcrlIgIZGc5FnjuC8ORJ2Ls3b5y7Y8g9PQuKufwCr6h0Z3FGEBrcxQg3g8FgMFQqlNIzav39nS/FVlxyc3VXrqPAu3BBC7q0NOf7+eNOn9ZjAx3jLl50vw6ensUXe0eO1OfoUXucNfj7591ezd3F1yJGuBkMBoPhmsbDwy6K6tcvvXyzsrSAcyX2XMU57p85o7uJHePsgrC1W/WoUsW5oLOKX1dp7p5jrIVXlgor3JRSfYE3AU/gAxF5uZyrZDAYDAaD23h7l874wPxkZ2sR991364mM7JpH7KWn27eO+862aWnahUz+c7OyilcfDw+7wHNHCLojDP388m6rVDHi0EqFFG5KKU/gHeAvwGFgo1JqpYjsKN+aGQwGg8FQvnh5af95tWtfolWr0s8/K6tw0VeUIHTcnjzp/PriolRBMefn53r/cuJ8fbUYrahUSOEGdAL2iMg+AKXUMmAQ4Fy4iehBCX5++hNtMBgMBoOhRHh7a2EYFFQ2+efmQmamayF44YKefGIN6el5t87izp4tGJeeXvLVQXx9y0YUWvcvh4qqchoChxyODwPRrk6+lJlJbLVq+sDRm6Onp/v7xTnXum/stqVCSkoKwaXdl2C4IphnV7kxz69yY56fxsvL7sYlPyLaF2Furg7O9gtLz8nR7mvOni08j9xc92cmX3Z7r0wxpY9SahIwCcADyKhfHyUCubkoS0BEb3NzUdnZBeOs+5dxt8Ui5ESpPPt4eCCWgGOaO+e7yONqJScnh5SUlPKuhqEEmGdXuTHPr3Jjnt/lYbXDlFZHnQiIKIuQU5bgPO7w4ZKXU2R1lVKvAn8DMoBvgAjgERFZUvJii+QI4Li6XyNLnA0ReR94H8Df319+O3q05KXl5hbfLltYmqvz09L0fklwnP9e3JGf7m7Lac54XFwcsbGx5VK24fIwz65yY55f5cY8v8rL5azl647O7CMiTyilhgBJwFDgF6AshdtGoKVSqhlasN0JjCiz0jw87A5wyhoR3blfUmHobPSndVqQY3xJBKKPT9kKQzMtyGAwGAyGy8Id4WY9ZwDwiYikXo5SdAcRyVZKTQG+RbsD+beIbC/TQq8U1qkxfn6l40LcFVYrYmlMDTp3Do4dKxifk1O8Onl65hVyFsdJEZcuQePG7rkhd7bv728EocFgMBiuCdwRbquUUrvQXaX3KaVqA5llWy0Qka+Ar8q6nKsWRyti7dqln7+I3btkScShg1dKz9RU2LMnr4fJ4swXV8reVmcLDJZ038/PCEKDwWAwVCiKFG4i8pRlnFuqiOQopS6gXXMYrmWU0l2fVapA9eqXldX/nI3TyMnJ6yUyv1txd1yOp6bCkSN50zKL8c6hlHNBV9jK1EWtWl2RnQMZDAaDocLjzuSE24FvLKLtWaAderLC8bKunOEaxtPT9fzuyyEnx/laM+4IQWtITob9+0u2QrVV+FWrVnIBaA2+vsYiaDAYDNcY7nSVTheRT5RS3YGbgNeAeRTiV81gqLB4emrRZPX7VxqIaHHnuEJ1ccKhQ3mP3Z1Y4uWlrXiuRGBQkE5z3DqLM5ZAg8FgqDS4I9ysI9AHAO+LyGql1N/KsE4GQ+XC2qVaWitUZ2drK15hYu/cOddpR4/qdGsoyhqolN0K6EzYFbL1O3QIjh/Xx8YCaDAYDGWOO8LtiFLqPfS6oa8opXzQPm8NBkNZ4OVVeitTi2gReO6cHvPn7tbaHWyNczFZJI/Z3du7aLFnbVdwsB4b6XgcHKzzMBgMBoNL3BFudwB9gdkikqKUqg9MLdtqGQyGUsFqTQsMhIYNS55PVpa25uUTeTs2bCCkUSPXIvDQIdi+XR+npmprYmEEBBQt7lzFVatWbk6kDQaD4UrhzqzSdKXUXuBmpdTNwFoR+a7sq2YwGCoM3t7a72A+34Mnq1YlxF3P7SLacpeSYg9nz+Y9zh939KgWfikpWvgVtWJ0tWpFC77q1e1tsYbq1Y21z2AwVArcmVX6EDAR+MwStUQp9b6IvFWmNTMYDFcXjv72SmL9y83V3b7OBJ8rAbh/v/343LnC8w8MhJo1C4q6ooKPT8nuh8FgMJQAd7pK7waiReQCgFLqFWADYISbwWC4cnh42GcEX3dd8a/PydFWu7Nn4cwZ1yE5WW8PHbLHFbZKSECAewKvZk2oVUuHmjVLb2Vrg8FwTeHOL4fCPrMUy76ZOmYwGCoXnp52EXX99e5fJ6LH9xUl9Kxh5057fFaW63yrV7cLOcdQu7bz+KAg47bFYDC4JdzmA78ppf5rOR4MfFh2VTIYDIYKhFJ2S1/Tpu5fZx3TZxV0p09rMXfqlN53DAcPwubNOu3SJef5eXo6F3TOxF7t2lCnjnbRYjAYrircmZzwulIqDuhuiRonIv8r01oZDAZDZcdxTF/jxu5dY3XmbBV0zkSeNX7HDrsYdDVpo1o1qFtXizgn26AjR6BBA30cFGT88BkMlQCXwk0p5Th9LMkSbGkicqbsqmUwGAzXII7OnN217uXm6skXjqLu1Ck4cQJOnrRvd+2CX37RQs/ilLmtYz5VqrgUeAW2tWqZMXoGQzlR2DdvEyDYx7NZ3a8ry37zMqxX8RCB0aPB398e/PzgjjugVSvtUuDXX3WcNc3fX49zqVpVj0PJzjae3w0GQ+XDw8M+dq9Vq6LPz87WAu/ECbZ8/z2R9erlFXjW/W3b9NZZ162Hh+6OrV/fHho0yHtcvz7Uq2dm3RquOs6e1YbxjAw9GiIjQxu3Q0J0+vLleh6UNS0jA8LD4fbbdfp7711e+S6Fm4g0u7ysrxxKRAuz9HR7yMmBqCj9QxYfr0VcftasgdhYWLECRozQos1R3K1aBRER8OWXMHduQeE3Y4Z+A924EdavLygce/XSP1qnT+vBzdZuEz8/M8jYYDCUD15eWlDVq8fZs2f1b6ArRLQbFUfr3YkTepmzY8fsISFBxzvrsq1Ro6Cgcyb0AgLKrMmGq5/cXPvf6rFj2rB84YKWAxcuaDeNN9+s0xcvhj177Onp6dCoEfzNspjnqFH6vcVReHXtCitX6vS2beHAgbzlDx4M/7XMBJgyRf/tW1EKxo61C7ekpMtr61Vh6xYPD9i3L29kVpbdetarF/zxR155nJ4OYWE6PSICXnrJ/gSt6dYlh7Kz7eNOHNOfeEKnf/89PPNMwYqdPKnfSufMgb//PW+av7/Oz88PXn0VPvvMLuwCArR8t8ryr76C3bu1ddCaHhQEPXro9NOn9Q+sVRQaq6HBYCgNlNK/NUFBRVvzcnJ0F62joDt6NO9xYqLeOptta13do1Ej16FGDfP7VkmxLpmslP7LOnYsr7BKT4fhw/U5X30FGzbY0y5c0NcvWaLTn34aPv/cnpaerj8aR47o9IkTYfXqvOW3aKH/RgH+/W+Ii9N/wwEBetu+vf3c4GBo0sRug/Hzs1vTAF54AS5etKf5++d1Tblxox55YE2rUiXvx/all+Dll0t+L68K4eYURy/ogYF2keaM0FAdXDFkiA6uePxxuPfevKIuI0NP9wcts1u2tH/KrME64yswUP8wpqXZXxMcWbIE/vOfvHF16ug3XIC777a/CiilPykhIfD77zruwQf1QGar6KtaVX+KrcLzv//VZVuXRgoM1Plbx9g4vsoYDAaDMzw9bZY82rZ1fZ6InmXrTOAdOQKHD+uX4WPHClrwfH0LF3aNGumXZfN7dVmIQGam7ihKS9Ph/HndiRUQoBcziYuzx1vPeeUV7aJw4ULdSeV4rfXvrXp1mD1bn5ufIUO0yPnqK/jnP+VFV+gAACAASURBVPMKq6Ag+3n16umuR2taQIAu18rUqdrC5er6b77REsHVx+Tttwu/P3fdVXh6cSafl4TCJic0E5H9ZVv8VUKVKk6XA7IRFaWDK+67TwdXLFigP0mOos9xzcfJk+Evf8mb7vgp9fDQQvL0aXt6SIhduM2YoS2SjvTuDT/+qPet4wQdhV3fvvq1AbRwzc21p1WtqoVyd8tE5P/9T39zqla1p5sfVoPh2kQp/S9bs2bhL9TZ2bpL9vDhvMEq7tat0/v5rXfe3tr80bixNps4hqZNtfPmq9BNivU2eHvr3u0//tBbx6WDBw/W7+ybN+uOnvzCavFi6NRJ2wqciZNNm6BdO33rp0zRcR4e9p/1adP0Y/X31z3h1nk21nTrfJYRI6BjR7uwsoora/obb8Bbb7k2rj70kA6u6Nmz8HtV2YddKrHaL/MnKLVJRNorpX4UkRuvcL2Khb+/v6Snp5d3NSovJ0/qb/b58/YQFAQxMTr9H//Qb7/WtLQ0/e1+9lmd3qqVTk9Ls+d5993wwQf61c3Lq+Cb82OP6deuixc517Yt1Ro1snfJBAVBv35w0036te+rr3TXsWN69epaMBvKlbi4OGLdXavUUOGo9M8vN1d3z+YXd4cPa994Bw7o/fwrX9Stm1fM5Rd41apdkeqL6C43q8CqVk13dqSl6a5Aa7w1DB2q36l379bi5/jxdLKy/Dl3Tr+bL1qk5+mtW2f/+XZkxQoYNkxPLp40yS6srOJq2jRtydqxQw/ttgoua+jcWdcxLU2XV7WqmdNXUiwaq0NJri2sq9RDKTUNaKWUejR/ooi8XpICDRWQOnV0cMVjjxV+fWKi3ubmamve+fP2rmoRe1esozCMjtbpFy+SHRCg4w4f1gIyNVW/tt10k+4OHjasYJmvvw6PPKJ/wfr1yyvqgoL0IIdu3fQb+8qVedOCg/VbtxkMbTBUbjw8tAirWzfvICVHsrN1j0FSkhZy1pCUpCdVrFyp1ZMjwcF2Qde8ufZAYA1NmtheGq1u96zL4fr769Nzc3VXn+PSuampuqPi7ru1CGveXG8dDYYzZ+oOkHPntACz4umpf7rCwrRw8/PTP9nVqp2nRQt/m3/oiAh9flgYfPed3W+0NVh/8nr00N5hXBESkndMV36sQs5QPhQm3O5Er5LgBQRemeoYKjVWm3lgYN64W291fU21amx97bWCb/1WS3D9+rqr1WrvtwZrN6y3t7b+WdP37tVba5k7d8I99xQs9/PPYdAgPZZm7FhtwXMMTz8NbdroqUfr1xdMr1PH+LEyGCoDXl76Rc3F+raXMnM5k3iaM9uPoY4d4YbsbXDgAPPXteTwek9SVueSmu1DCmlEsojpHn+H666jxYl1JGXWI0c8bXmNGXGJBUur4OGhR5BcvKjFXHCwDh076vOqVtWODqwdCVZhZR1RU6eOfh+2xue3ajVqpAffx8XtJDa2boE2BQfr0TOGq5PC3IH8CbyilNoqIl9fwToZDPZfqSpVCh8f2LQpfPSR6/Ru3fRi4Y6iLyUFOlgs1DVr6tfglBTtnOfQIdi61T6A4uefYcKEgvlu2aJfbxcu1NOD8gu755/XYx537oT9++1jeqxrTpq+BYOhVLEOpq9dWx//8ot+73JcRrZ6dfvQ3P799TkXLngAdYA6xMRE8ssv/QF4LQR2noKAACG4Vi7Bfpk0bhkC0Qr27uWvcd+SezaV4IyjBJNCMCm0+GgPfHcYmjfn8IAoqrVpQJWQFtC6tR5SYumC9fDQFjlXeHnp+WwGgzPcMRmsV0q9Dlh8T/Az8IKIpJZdtQyGUqJKFftsM2e0awcfFrL07l//qke6nj2bNzRpotNr1dL9EmfP6m7ZnTv1/nPP6fSlS2HWrLx5enpqoVi1qv71/u47u7Czhrvv1uLOOnO4Ro28M6UNhquc48d1b6bjghAXLujuRNBdiv/9r12UZWToOQmHD+v0V1+1u4Tw8tJfq8hIe/6xsXDDDfZ5ZTVq5F2ZbMMGbS3z9laAJxAAhAAvAPDi/7d332FSllcfx78Hdlk60psKKCIIKk1FLIi9IYjR2MUkYgtiiS1oRBNj7DHG/toVCyqCHVFRsVEUFbChICpBLFSRfr9/nBlnUXYZdmf2mWfm97muuXan7DMHnt2ZM3c5J/nAxYu9HNXnn69zafLei/Dkl+uu723RwpO40pcOHaBdO43gS9rS+U25C5gGJCvYHoc3nh+YraBEckbt2r4NqywHHeSXsgwZAv36pXpKJi/JxSZLlviL/qRJfvuKFT7VnBzlO+usVCmYBg383WerrXw/O/iI37x5qXWKzZr5m0O6vTFFsmzVqnXbru66q3+eGjvWl5f9uh3rrFl+/+WX/7YsQ61anrCZ+Z/Jllv69GMy8Wpeatbwppv80qiRf0b69SB3clN9WUpvzC9Xco5zfTMDK1Z4IvfJJ3759FP/+vjj/veeVFzs/5hkMtexo5eo2mYbLSaT30gncdsyhFB6dfilZjY1WwGJ5JXkwumynH++X8DX9S1b5qNxSYMH+3TvDz+kkr9atVL3P/AAjBu37jG3286ncsFrCM6Zk0rqmjb1+48+2u//5BN/Y2jaVLt0ZaP8+GOqK1bpy/DhXgrizjt9X9OiX83NzJ7tA9bvvuurHJo29YHrdu08CVu50n8V//Qn33fUpEnqMaUTsL/8xS9lSQ6KR6qkpOyV/j/8sG4yl7w899y6bcbatk3VGu3c2Uf4O3Va93VACko6idvPZrZrCGECgJntAvyc3bBECpBZqqhR0h57lN+S6MUXff7ou+9SfSZLT7m0beujet9845s85s/33brJxG3ffT2xA1/R3KyZV8FMlvX+z398aKN070kVOM07IfgM/7ff+ilu2NAHiu6667eJ2QMPeKmJsWN9JUFStWqeXJ16qiduHTrACSesm3g1aZLawH7++XDBBWXHtP32605t5p3Gjb2PUu/e696+Zo2Pwk+f7pdp0/zr2LGpLahmsMUWdGnRwpdydOmSavFYvfpvn0vySpl13H55gNn2wH1AcuB4AXBCCOGDLMeWNtVxi7fY15KKk2RJ9OSn9aee8lIJyaRv/nzfpXvOOb42p0aN39bAOvVUX5u3ejXf7747TTp39nf7ZGLXtavXOpDIJZsUzJ2buvTo4YOun3wCAwYsZunS+nz7bSonuP9+79U4YYJ/ZmjWLDVw3Lw5nH22J1Tz5nmR1+TtTZooZ8iqVat8t0UyoZs+nZ8mTqRO6Tp1tWp5IbauXb17RdeuqRYDklMqU8dtg4lbqSepDxBCWFyRJ8omJW7xpsQthy1b5u/Qyabi8+b5tE/fvrBgAUt22ol6S5Z4wpdchH355V7J86uv/E2jVSvfHJLsQzlwoL+prFzp82hNmmiXbQWsXevJV+mkbO5cH4AZONBPV9u26866ge+qvOACH4QdMOBHttmm0S+dqpo395n5Nm1Sp1ODq7lr/Pjx7NG7txdle/99H1WfOtUvCxb4g8x8JC6ZyHXt6rvqS/eIkiqXrQK868jFhE1EsixZUXR9I2gNGzLl9ts96S7dYDxZj6GoyKuIzp3rWcKMGX5/8k1kyhSfJiopSSV1rVv7wqXu3X1N3+ef++0tWhTkcM64cb4m7KuvUpfdd4eLL/bEqkuXdTct1q/vi/EHDvR8eOhQ/y9t1Sp1adnSH9u6NVx99QdlfmhSwhYTNWr4EOp226Wq9obgvyxTp6aSubffhocfTv3cFlv46PqOO/riwu7d/e9dcp72H4tI5ZVuMJ7UsqU3HCxt9epUprHZZnDDDev2oHznnVTrtJdfht//ft3jb7453HGHL9JO7tZLtimKye67NWtSOeioUZ7Plk7MttvO15GB14b+5hsfNGnZ0v/LkntIiorg0Uc9QUsmZKX/C4qLvSSGFCCzVNHh0gXQFyzwJG7SJL+8+WYqmate3T8J7LBDKqHr0qUgPzDlupxL3MzsaqAfsBL4HDgxhLCw/J8SkVgovXFi003hjDPKfmyfPr4GL9lUPNl/MpmdPPnkutsKGzXyN6pnn/Us5t13vbZEMrGroinZ1atT/8wxYzwXnT3bQ5k920ObMsXvv+oqHwhp0sSTsnbtfHY56ZlnfM9Iq1brL+O3vm5wImVq2NCXOfTtm7pt3rxUIjdxopcq+b//8/vq1YOdd/b581139VaFWi8XubQSNzPrDbQt/fgQwn1ZiulF4MIQwmozuxK4EDg/S88lIrmqeXM4+OCy7z/xRH9TKd1/8ssv/c0JvOP2DTekHl+7ti/6eu89H7aaMMFLr2y5pWdMNWumFVbpxOyVV2D8+FRSNmuWryGfN8/vf+ABeOIJzyfbtfPyFl26pI41apTXCyurskNe76qU3NCihdea7NfPr4fgo9nvvANvvOF/J8OH++3Vq/uU6q67ppK58sodSVZsMHEzs/uBLYGpQHJ7WcB3mmZcCGFsqatvA7/LxvOISMw1arT+cgpJw4fD8cevm9QtWJCaa7zuOs+cwEfiWrf2LZdPPum3vfkm076sx8uz2vHZ3DrM/NyYOdMPs2iRJ1tPPw3XX++Dh+3aeQPwdu18NrhaNZ/VHTGi7KL4pWeWRXKCmRcdb98ejjnGb1u40FtJTJjgl1tu8V988Jpye+3llz328CFiyap0yoF8BGwT0t1+mkFm9hTwSAjhgfXcNxgYDFBcXNxj7Nixv36IxMTSpUupG5P1SbKuOJ+74kWL+PnjH/l4chH/+7KIb+bVZdbPrfm0qBPXXPMB/f4xiLs+3o+z+Df1WMyWJXPYtNkS6u/WiqOOmkOzH75gYa1mWMPaFBdX+ctjRsT5/El0589WraLeZ5/R4P33afjeezT48EOqL19OqFaNJR06sLBbNxZ0786iLl1Ym+ZIdqHp27dv9sqBmNlI4IwQwv8q8gRlHHMcsL7PmsNCCKMTjxkG9AQGbihpVDmQeFM5kPjK9XMXglcq+fjjdS/Dh/tynccfh98lxvQ32cS7ibVvD5ddBu1Xf8yCd2ex+vMvaTJvGvbF574jNjn92qKFV6Rt1izVquiAA3xLJ6w7p5qjcv38Sfly5vytWOFTqy+95Jd33vHf/xo1vFrzgQd6a8AOHVT6JyHb5UCaADPMbCKwInljCOGQsn+kfCGEvcu738wGAQcDe0Ux0ici8bJqlRebTyZmu+/uy98mTfIELal2bc+vlizx6337+ntM+/Y+87qujjTs2HH9TxgC3Hbbuu2KxozxjRMDB/obWYMGvrgt2Uh8m218w0V5vW9F4qikxP/odt8dLr3Ud4a//rrXs3n+eS/ofc45vp40mcT16ZP2ulJZVzqJ2/BsB1Game0PnAf0CSFoGE1EfpHsBpRchrNgga+R/uwz/4Cf9M9/euLWqZN37erY0S+tW69bn6xRI696sNHMoH//9QcInrj95S+pXpTjxnnHimuu8Tewr7+Gk07ynQrJHpSdOsWmpIlIuerW9dHnAw6Aa6/1XTvPPefbpO+4w8sE1a4N++zjW6P79dPauI2wwcQthPCqmTUHdkjcNDGEMD+LMf0XKAFeNB9SfTuEcEoWn09EctgNN/hG0GnTvObZzz97D8x77vHX+u22gwEDPO/p2NEHuOrX95+tVw+GDKnCYJM1r+rXh3/8I3X7mjW+7TSZmP3wgxcjfuUVT/KSRo3yf8ysWT5ise22PlJXUlJl/wSRjGvXDk47zS8//+y/988846PUo0d7rZu99vJ1C/37e30cKVM6u0qPAK4GxgMG3Ghm54YQHstGQCEEzSOIFJAVKzwpe+89v3zwgS8fGznS77/tNt/U1qULnHKKf02OkpmtWww+Z1Wv7tNESdtv74VQV69et6F4165+/7hxMHiwf19U5Mlb164+lNi6dWrbqkjc1Krl06UHHugjb5MmwWOP+YLTP/0JTj7Zp1GPPBIOP1wjceuRzlTpMGCH5CibmTUFxgFZSdxEJH8tXuwtFWfPTnXn6dcPXnzRv69Xz0fQttoq9TOTJ+dxJ56iIl//1qEDHHpo6vYTT/RF3R9+mOo9OW4c/Pvffv/f/+5FUpO9J5OXLbbQ4m+Jj2rVfBHqTjt5NeqpUz2Je+wx/+AyZIh3fjjuONh///VXoS5A6SRu1X41NfoDoI96IpKWp56C++/30bSZM/226tX9w3TNmnDWWb7cq1s3zzt+PZCUt0lbeYqKUgvzDj/8t/d37eqjElOn+tqhNWu8ov2iRf6fO2qUj+b17OlFh5XMSa4z8xeBbt18mcGUKV5E+6GHfPi9aVMfhTvxRH9MAUsncXvezF4AHkpc/z3wbPZCEpG4WbHCR9ImTkxdxo3zwrSffeajZt26+dq05GtzctnWAQdEG3ss9e+f2hyxfLlPs379dWqN3dVXe8FU8PVCPXv6f3R5LcZEcoWZ/8727OmbG154wZO422/36dUdd4RTT/VexmW1HcljG6zjBmBmhwG7JK6+HkIYldWoNpLquMVbztQikrSsXesbJZs0gWnTxrNs2R4MGOAlOcDXpyVnPjp08MoZGvCpYitW+DTr5MmpPpSdOsEjj/j9vXtD8+Z83rw5Wx53nHeMUGmG2Cm4184FC3z4/tZb4aOPvL3doEG++LVDh6ij2yiVqeOWVuKW65S4xVvBvfjEzKpV3gh9wgRvXfjmm/76eeutsPXW42nXbg9uvtmTtR139LXzStRyUDKDXrXK3+wmTkzNXRcXe9XhCy7wadf586Fly0jDlQ0r2NfOEOC117z11hNP+O/0QQfBeef52tAYvABlpQCvmU0IIexqZkvw3qS/3AWEEEL9ijyhiOS2777z5KxePe+9uWSJ19UEX3J12GFeI23vvX1DZJs2cOWV0cYsaUi+mRUXw4MPAvDGqFHsUq2an/DkuqEZM3yHSNu2XiSvd29vJt6li3aySm4w8zWeffp495LbbvMp1D59oFcvT+AOOSS1dCDPlJm4hRB2TXytV3XhiEgUHn/cl5G89prXjAU4+GBP3Bo18l2fXbv+trzSF19UfaySOasaNvTG4KWLCTdt6uuK3nzT2xclkjyeftpHNb75xuvQKZGTXNC8Ofztb17w+t57vcj1wIE+dXrRRXD00XmXwG3wr87M7k/nNhGJh++/9932116buu2GG+DRR70bwb/+5bVfk3XUwEfXVBOzQLRoAWef7b8kc+d6dn7vvT7qBl75ePvtvUfrYYf5SMeHH/riR5Go1K7tGxY++cTXctaqBccf76PHjz/u06t5Ip1dpZ1LXzGzIqBHdsIRkWx46y1/LXvlFS9wC76ud8gQ7wP96KM+0JJnH0ylssy86n27dqnbBg2CzTaD8eP98sQTvrFh4ULfKjx5smf5bdtGE7MUtqIiOOII78Lw2GM+Gve730H37nDFFbDvvlFHWGlljriZ2YWJ9W3bmdnixGUJ8C0wusoiFJGNsnat10z717/gxx/9tjfe8GUgTZt6iaQ33/SlITVq+P0tWihpkzS1bu0jGXfd5aNxs2d73bhkfZdTT/VEb+ut/ZPBU09503GRqlStmidw06bB3Xf7i+F++/mygJiv8SgzcQshXJFY33Z1CKF+4lIvhNA4hHBhFcYoIhuweDGMGOHvp61a+YfLCy/03aDgu+UXLvTaasOG+eYCFSGXjGjTxqvaJ91/v3d4aN/ek7tk5fuk6dPzatpKclxRkY8Sf/yxf5p96SVvITdsWGw/UKTTZP5CM2sIbAXULHX7a9kMTETKFoJPeVav7mvE582DY46Bxo19JmC//fxrsqJDsre5SNYlOz4MHer15N58M1Ujbu5c/4Vt1cp3v/Tr583FC7CIqlSxkhI4/3z/EHH++d7398EHvXXc3ntHHd1GSWdzwp+A14AXgEsTX4dnNywR+bWVK33E7IwzfCYq2XMcvLfnlCk+/TlihHcoUBkuiVxJCfTt60O8APXr+7RVr17+i9qvn3/aeP55v18jcZJtrVr5qPDrr/vv5z77eM+9RYuijixt6ezlHgrsAHwZQugLdAMWZjUqEQFS3QjAy2nts49/QNx+e/963XV+n5lPj2qdmuS0unV92urxx3178/PPwx//6Dv/AO68E3bYwae0ksWBRbJh11291+/55/uUfpcuXg8pBtJJ3JaHEJYDmFlJCOFjYOvshiVSuBYvhgce8DW0bdumkrfzz4fRo/39bvRof79r0SLSUEUqrqTE5/RvvNFHQQA22cQ/hVx4oQ8jd+sGl1+uUiOSHbVq+YeEt9/27/v29d1ba9ZEHVm50kncvjazTYAngRfNbDTwZXbDEik8Eyd6stasmS/DmDLFN0X99JPff/jhvs67du1o4xTJmt/9zv8QZs/24eTatf1TSrLQ78MP++YGkUzaYQd/wT3qKLj4Yl8g/O23UUdVpg0mbiGEQ0MIC0MIw4GLgTuBAdkOTCTfLV/uRW4/+ih1fcoUr6bwxhswZw5cf70PQogUlDZt4Kyz/A8hOX21fLkPM3fp4lOrV10FX38dbZySP+rV87Vvd93lhS933DFV9DLHpLM54T9m1hsghPBqCGFMCGFl9kMTyT9r18Krr8Kf/uSdWo44wovSgy+5SCZrvXurm5AIkNqRWrOmr3v77399rdz558Pmm8Mdd0Qbn+QPMzjxRJgwAVav9l69Tz8ddVS/kc5bwxTgIjP73MyuMbMKdbMXKXQh+AaCPfbwGZ8BA7wH6OWX+/3VqilZEylXy5Zw+uleYmTmTBg+3BuLgzfbPeIIGDNm3V09Ihure3eYNMmLSB9yiG+aySHp1HG7F7jXzBoBhwFXmtnmIYStsh6dSIz99JO3knr5ZbjvPv8w98c/etP2AQOgTp2oIxSJsS239HZGSfPmeU+3kSN9OHvQIB/abt8+shAlxlq18mn6ww7z36OlS702YQ7YmM/37YGOQBvg4+yEIxJ/770Hp53mf/d/+IO3bpw/3+8bMsQL5SppE8mwE07wAr+jR/v6pKuvhj33TO1IVY042Vi1a8OTT8Khh8KZZ6YKZ0YsnTVuV5nZZ8BlwDSgZwihX9YjE4mhZ57xUfa77/Ydoq+9BjNm+ACAiGRZcbFPbY0Z4wtGH3jA1x+sWgXbbutvvh9r3EE2QkmJT50cc4y3yfrPf6KOaMNTpcDnwM4hhO+zHYxI3CTXSnfo4KNse+3l148+Gho2jDo6kQLWurVfwBv1du4MN98MN9zglazPOAMOPFALS2XDiorgnnt8/cvQodCkib/IR6TM31gz65j4dhKwuZl1L32pmvBEck8IvqmgXz9P2G66CWbN8vtq1vS100raRHJI06bwyCPwzTe+G2jGDP8DfvXVqCOTuCgqgoce8t1lJ5wA48dHF0o5950NDAauXc99AdgzKxGJ5LiTT/YKBE2bwkUXwSmnpAq/i0gOa9oU/vpXOPdceO45fxMGuOQSb0ly1lnazCBlq1nT17z16uUV0SdP9pqDVazMEbcQwmAzqwZcFELo+6uLkjYpGAsWeBeUb77x68cd56Pmc+bAZZcpaROJneRaODO/vnixl3zYemsvKTJlSrTxSe5q0MA3wKxc6ZsWli2r8hDKndwPIawF/ltFsYjklG++gb/8xWt8XnwxPPus377bbj5SnqwLKiIxd/313mbrvPO8HlzPnjmzg1ByUIcOMGKEN6k/88wqf/p0VmW+ZGaHmSU/mojktxB8+rNdO389P+QQeP99OOmkqCMTkaxp0QKuuAK++srbaR18sN/+0UfwxBNqdC/rOuggT/TvuMN3MVehdBK3k4GRwEozW2xmS8xscZbjEqly333nX82828lJJ8Fnn8GDD3prRBEpAPXr+xq45B/9HXd4EdYePXyKTPXgJOmyy6BrV6+snnwDqQLpNJmvF0KoFkIoDiHUT1yvXxXBiVSFOXN8w8Gmm/rIGvhr9U03wRZbRBubiETsqqu8ofCSJd7ypGdP39ggUqOGN6ZfuNBH36pIOgV4zcyONbOLE9c3M7Mdsx2YmZ1jZsHMmmT7uaQwzZ3rpTvat/fNBoMHpwrlamGAiABeBuL4471w7913+26lF1+MOirJFV26+GLoe+7xiutVIJ2p0puBnYFktbmlwE1ZiwhPDoF9gTnZfB4pXMuX+wj37bd7W6rPPoMbb/RlLiIiv1FU5P1PP/kELr3Ub3vlFdh339RQvRSmiy+Gtm19JGDNmqw/XTqJ204hhNOB5QAhhAVAjaxGBdcD5+H14kQyYvVqePxxX6JSsybccou/Bt96q+8cFRHZoOJiqFfPv58/32t5devmW82/+ira2CQatWvDlVfCtGm+2zTLLGxgoaWZvQP0BiaFELqbWVNgbAihW1YCMusP7BlCGGpms/HeqL9pt2Vmg/ECwRQXF/cYO3ZsNsKRKrB06VLq1q2bteOHAG+91ZjbbtuCOXPqcN11U+nWbWHWnq+QZPvcSXbp/FVe0ZIlbP7gg2z6xBMAzD7+eOYce2yVPLfOXw5Zu5Yep5xC0ZIlTLz3XkKN8se3+vbtOyWE0LMiT5VO4nYM8HugO3Av8Du8KO/Iijxh4pjjgPVNSg0D/grsG0JYVF7iVlrt2rXDsgiK4ElmjB8/nj2SFcwz7NNPYcgQGDvWa2teeeW6dTelcrJ57iT7dP4y6Msvfcpsxx3hz3/28iFmWX2x0fnLMS+8APvv7zvbTjut3IeaWYUTtw02mQ8hPGhmU4C9AAMGhBA+qsiTlTrm3uu73cy2BdoB7yfKxm0KvGtmO4YQ5lXmOaXwrFnjf0M//AD//rf/HRUXRx2ViOSlNm3gvvtS1++91xes33ij6gkVin33hZ128gKgp5wC1dJZjbbxymsy3yh5AeYDDwEjgG8Tt2VcCOHDEEKzEELbEEJb4Gugu5I2SVcI8PTT3o2kenV44AFfxzZ0qJI2EalCJSUwfTp07+4vQAu1PCPvmcHZZ8PMmf5GlCXlpYNTgMmJr98BnwKfJb5XIzfJObNnw4EHT+mxWwAAGsVJREFUQr9+/kEXoHdv7RQVkQgcfbSv1Tj5ZPjvf6FTp1TfPMlfAwf6brfrrsvaU5TXZL5dCGELYBzQL4TQJITQGDgYqJKdAImRt3LXt4msWeOzEV26wIQJPi36hz9EHZWIFLxGjXy906RJ0LKlui4UgqIiX1j96qvw4YdZeYp0JmB7hRB++ZgQQngO32UqkhNOPhnOOMObv0+f7rMSRRtcvSkiUkW6d/fk7aCD/Po113h7FiVy+WnQIF+bk5z6ybB0Ere5ZnaRmbVNXIYBc7MSjUia1qyBn3/27085xdcEP/us6rGJSI6qXt2/rl0L48Z5q5a991btt3zUpIkn6Q8+CKtWZfzw6SRuRwFNgVHAE4nvj8p4JCJpmjUL+vTxkTXw1oHHHacSHyISA9Wqea/T226Dd97xHacPPRR1VJJpJ5wA334LL72U8UOn02T+xxDC0BBCtxBC9xDCmSGEHzMeicgGhOA77Lff3pcO9OkTdUQiIhVg5iNu77/vmxaOO853Ikr+2H9/qFsXRo3K+KGzU2REJMN++AGOOMKXDnTrBh98AMccE3VUIiKVsOWW3pj8lVegfXu/7dNPo41JMqNmTTjgABg9OuP9S5W4SSwsXuyvbVdeCS+/7LUuRURir6jId1aBr33r1AkuuaRKmpVLlh16qE+Xvv12Rg9bXgHeo8yscUafTWQjhOAfVkKAdu18bdt556XW+IqI5JWdd/Zp08su8yr881R7PtYOOMDXNGa4l3p5I26bAyPN7HUzG25mO5lp+bdUjQUL/MPKgAGpAtT16kUbk4hIVtWp4yUk7r4b3noLunb1KQaJp0028d1zGT6H5RXgvTKEsCdwIPA+8Ae8b+gIMzvezJpnNBKRhKlToUcPeOYZL6Z78MFRRyQiUoUGDYKJE6FhQ/j886ijkcro29enSn/6KWOHTGdX6ZIQwqgQwskhhG7AP/CSIPdt4EdFNtqoUbDLLl765vXXveSHxnlFpOB06QLvvQd/+pNff+utVPFKiY8994TVq/0NLUM2enNCCGFGCOHaEMJ+GYtCJKF2bR9tmzwZevWKOhoRkQjVrOmfXL//3te87babCvbGzS67+AaU117L2CG1q1Qi9/PP1Rk92r/fbz9v8dZcE/EiIq5JExgxwkuF9OwJb74ZdUSSrjp1oHNnmDIlY4dU4iaRmjsXhgzpxuGHw5w5fpumRkVEfqVfP++0UL++T7+NHBl1RJKuHj08cctQb9oNJm5mtqWZlSS+38PMzjCzTTLy7FLQZszw6dC5c2syZoz6jIqIlKtTJ1/o3qMHjB8fdTSSrh49vIp8cnSiktIZcXscWGNm7YHbgc2AERl5dilYr7+e2oRwww1T2X//qCMSEYmBxo29/+UNN/j1r79Wsd5c17Onf83QdGk6idvaEMJq4FDgxhDCuUDLjDy7FKzJk30d21tvwVZbLY06HBGR+KhZE4qKqP7TT9C7t/cDXL486qikLNtt5xsUqjBxW2VmRwEnAIlSqBRn5Nml4Hz3nX8980z/HW7bNtJwRERia02dOnDOOfDEE17wcqk+BOekmjVh661h2rSMHC6dxO1EYGfg8hDCLDNrB9yfkWeXgnL99bDVVvDRR74BoU6dqCMSEYm5oUPh3nu9mfN++8HChVFHJOvTsSN8/HFGDpVOAd4ZIYQzQggPmVlDoF4I4cqMPLsUjMsvh7PPhn32gS23jDoaEZE8cvzx8OijMGkSXHBB1NHI+nTq5F0wVq6s9KGKNvQAMxsPHJJ47BRgvpm9EUI4u9LPLnkvBBg2DK64wnsn33WXT/WLiEgGHXYYvPii9zeV3NOxo28imTkTttmmUodKZ6q0QQhhMTAQuC+EsBOwd6WeVQrGAw940jZ4sPdOVtImIpIlffpAgwawbBmcempqUbFEb4st/OusWZU+VDpvo0Vm1hI4AhhW6WeUgvL738OKFfDHP6qwrohIlZg2zT8pv/kmvPyylxCRaLVr518zkLilM+J2GfAC8HkIYZKZbQF8Vulnlrx2990wfz7UqOE9kpW0iYhUkR13hDFj4JNPfGHxggVRRyTNm0OtWlWTuIUQRoYQtgshnJq4/kUI4bBKP7Pkrf/8B/7wB7juuqgjEREpUPvsA6NGwfTpsP/+KhUSNTOvf1UViZuZbWpmo8xsfuLyuJltWulnlrx0//2+O33gQPj736OORkSkgB1wgO82/eYb+OqrqKORzTbzc1FJ6UyV3g2MAVolLk8lbhNZxwsv+EjbnnvCiBFQrDLNIiLR6t8fPvvMy1FAxhqdSwW0bAlz51b6MOkkbk1DCHeHEFYnLvcATSv9zJJX1q6Fv/4VOnf20fmSkqgjEhERwNdWhQDnnusXiUarVjBvnr9hVkI6u0p/MLNjgYcS148CfqjUs0reqVYNnn/em8bXrx91NCIi8hsrVsCNN0KLFvCXv0QdTeFp2RJWr4bvv6/UYdIZcfsDXgpkHvA/4HfAoEo9q+SNH37wQt0rV0LTpv6BQkREcowZ/Pvf3pD+3HN9akSqVvIN8n//q9Rh0tlV+mUI4ZAQQtMQQrMQwgAgq7tKzWyImX1sZtPN7KpsPpdU3KpV/hpw/fUwY0bU0YiISLmqVfP6bjvtBMceC++9F3VEhaVlS/+a7cStDFlrd2VmfYH+wPYhhM7ANdl6LqmcM8/02o63364uKyIisVCrFjz5JLRunZHSFLIRkoWQf/yxUoepaAOibJZTPRX4VwhhBUAIYX4Wn0sq6NZb4eabfZnECSdEHY2IiKStRQuv76at/1WrUSP/WsnEraIjbtncT9wB2M3M3jGzV81shyw+l1TA4sXeOP7AA+Ff/4o6GhER2WjJpO3++729jcqEZF/Dhv41WyNuZraE9SdoBtSqzJOa2TigxXruGpaIqRHQC9gBeNTMtghh3d8qMxsMDAYoLi5m/PjxlQlJNtJ119WmceMVvP76mkofa+nSpTp/MaVzF286f/GWifPXZvx42t11F5/WrcvcAQMyE5iUadc6dZj3wQeVOoaFHMuyzex54MoQwiuJ658DvUII35X1M7Vr1w7Lli2rqhAL1sqVvjTi8MMz23t0/Pjx7LHHHpk7oFQZnbt40/mLt4ycv7Vr4ZBDYOxYeO016NUrI7FJGdq1g912w+6/f0oIoWdFDlHRqdJsehLoC2BmHYAaQOWKnkhGnHce/P738PbbUUciIiIZUa2aT5e2bu2fyr8rc4xEMqFxY6+jVQm5mLjdBWxhZtOAh4ETfj1NKlXvscfghhvgjDNg552jjkZERDKmYUN4/HEvDDt6dNTR5LdGjSLbVZo1IYSVwLFRxyEpM2d6D9KddoKrr446GhERybju3eGTT2DzzaOOJL9tsgl89VWlDpGLI26SQ9au9TqN1avDo49CjRpRRyQiIlmRTNomToQpU6KNJV/VqQM//VSpQ+TciJvklmrV4G9/8y4J+iAmIpLnVq+Go4/2HWjvvgv16kUdUX7JQOKmETcp04oV/vXAA6F//2hjERGRKlBUBHffDV984YuaJbNq14ZKVsFQ4ibrtXgxbLutd0gQEZECsttuXmX9nntg5Mioo8kvderA8uWVOoQSN1mvoUP9A9f220cdiYiIVLm//Q122AFOO00lQjKpTp1KH0Jr3OQ3nn/eP2j99a8q/SEiUpCSU6ZPPuk7ISUzateu9CGUuMk6liyBk0+GTp38A5eIiBSozp39At7LNJMtcwpVBkbcNFUq63j1VZg3D+68E0pKoo5GREQi98or0LWrpkwzIQMjbkrcZB0HHwyzZ2uKVEREEpo2hY8+0i7TTNCIm2TK8uUwfrx/37JlpKGIiEgu6dIFLroIHn7Ym9FLxWnETTLlyiuhb1/48MOoIxERkZxz/vmw1VZw+umVLmdR0DTiJpnw+edwxRVw5JFeu01ERGQdJSVw003evPqRR6KOJr5UDkQqKwRftlBcDNdeG3U0IiKSs/bZByZMgN69o44kvjRVKpU1Zgw8+yxceim0ahV1NCIiktN22cXLgsyb55/8ZeM0bgwXXlipQyhxK3A//QS77w5DhkQdiYiIxMK778KWW8Lo0VFHEj/16sE//1mpQyhxK3BHH+27SYuLo45ERERiYbvtoE0bOPdcWLky6mgKjhK3AvW//8Fdd8GaNSqGLSIiG6GoCK65xjcq3Hxz1NEUHCVuBeqSS+CUU2DOnKgjERGR2DngAN+scNll8OOPUUdTUJS4FaBp07yl1emnQ7t2UUcjIiKxY+alCJYsgeefjzqagqJyIAXovPOgfn0vhC0iIlIh224Ls2bBpptGHUlB0YhbgXnxRXjuOU/aGjeOOhoREYm1ZNKmdTdVRolbgaleHQ46CP7856gjERGRvDBypK+7effdqCMpCErcCsyee8LTT3v3EhERkUrbd19o0EDrb6qIErcCsXatt5lbtCjqSEREJK80aOBN6J97Dt54I+po8p4StwIxapRPjz79dNSRiIhI3vnzn6F5cxg2TK2wskyJWwFYu9brtnXsCEceGXU0IiKSd+rU8aRt4kT44ouoo8lrStwKwKOPwvTpMHy4b04QERHJuMGDYfZs72MqWaPELc+tWQOXXgqdO8Phh0cdjYiI5K2SEmjWzKdKlyyJOpq8pQK8eW7BAt+lPWgQVFOaLiIi2da/P6xeDc8+G3UkeUlv5XmuSRP/2zniiKgjERGRgtCrl+8wVV23rMi5xM3MuprZ22Y21cwmm9mOUccUVzNm+HIDERGRKnP66V4i5J//jDqSvJRziRtwFXBpCKEr8LfEdamAM8+E3XbzdW4iIiJVokEDLw/yxBPwySdRR5N3cjFxC0D9xPcNgLkRxhJbU6Z4X9IhQ7STVEREqtiQIVCjBtx6a9SR5J1c3JxwJvCCmV2DJ5a9I44nlq66CurXh5NPjjoSEREpOM2bwwsvwI5a7ZRpFiKocGxm44AW67lrGLAX8GoI4XEzOwIYHELYez3HGAwMBiguLu4xduzYbIYcK99+W8LRR/fi8MO/4pRTcr8Q4tKlS6lbt27UYUgF6NzFm85fvOn8xVffvn2nhBB6VuRnI0ncymNmi4BNQgjBzAxYFEKoX97P1K5dOyxbtqxqAoyBhx+GE0+Ejz+GNm2ijmbDxo8fzx577BF1GFIBOnfxpvMXb7E4f0895VNA48Z5nTcBwMwqnLjl4hq3uUCfxPd7Ap9FGEssHXkkzJsXj6RNRETyWEkJTJgAjzwSdSR5IxcTt5OAa83sfeCfJKZDJT3JYtUNGkQbh4iICPvs4617rr9ezeczJOcStxDChBBCjxDC9iGEnUIIU6KOKS5CgF12gVNOiToSERERwAzOOAOmToW33446mryQc4mbVNyrr8KHH2oTj4iI5JCjj4Z69eCWW6KOJC/kYjkQqaCbboLGjeGoo6KOREREJKFuXfjXv6BVq6gjyQtK3PLEt9/Ck0/C0KFQq1bU0YiIiJRy2mlRR5A3NFWaJ+65B1avhpNOijoSERGR9Zg3zzcprF0bdSSxphG3PDF4MGyxBWy9ddSRiIiIrMfLL8PZZ8M228B++0UdTWxpxC1PNGwIhx8edRQiIiJlOOwwaNoUbrst6khiTYlbHrjkEhgxIuooREREylFSAscd590Uvvsu6mhiS4lbzH33nW/WmTgx6khEREQ2YNAgX5Ct0YYKU+IWcw8+CCtXalOCiIjEwLbbwk47wZdfRh1JbGlzQszddx/07OkdRURERHLe669DcXHUUcSWRtxibPp0eO89XzIgIiISC8mkLdlcWzaKErcYW7IEdt0Vjjwy6khEREQ2wt//Du3b+1of2ShK3GKsVy8fcW7WLOpIRERENkKPHjB/PjzzTNSRxI4St5j6+mv48ceooxAREamAffeF5s21u7QClLjF1MUXQ8eOvqtaREQkVoqKvGr8009rrdtGUuIWQ8uWwWOPQb9+/rsvIiISO0ceCcuXw5gxUUcSK0rcYujZZ2HpUjjmmKgjERERqaCdd4Zbb4W99oo6kljReE0MjRzpGxL69Ik6EhERkQqqVg1OPjnqKGJHI24xs3y5b8IZOBCqV486GhERkUpYswbuuQeefz7qSGJDI24xU7MmTJ2qpE1ERPJAtWrwz3/C5pvD/vtHHU0saMQthtq3h3btoo5CRESkksx8k8Irr8C8eVFHEwtK3GJk2TI4+miYPDnqSERERDLkiCNg7Vp48smoI4kFJW4x8txz8NBDsGhR1JGIiIhkSOfOPpWkxC0tStxiZORIaNJEu0lFRCSPmMGhh8KCBb5ZQcqlzQkxsXy5F5g+5hgV3RURkTxzxRXadZcmjbjFxPjx8NNP0L9/1JGIiIhkWDJp04jbBilxi4mff4Zu3WDPPaOOREREJAtuuQU23RRWrIg6kpymxC0mDj0U3n3X67iJiIjknTZtvCTISy9FHUlOU+IWA0uXwqpVUUchIiKSRXvtBXXranfpBihxi4Hrr4fmzT2BExERyUslJXDggTB6tNa6lSOSxM3MDjez6Wa21sx6/uq+C81sppl9Ymb7RRFfrnnqKdh6a/8gIiIikrcOOQTmz4cpU6KOJGdFNeI2DRgIvFb6RjPbBjgS6AzsD9xsZgW9P3juXJg0Cfr1izoSERGRLNtvP7j4Yp9mkvWKpCJYCOEjADP79V39gYdDCCuAWWY2E9gReKtqI8wdzzzjX5W4iYhI3mvSBC67LOooclqurXFrDXxV6vrXidsK1lNP+UabLl2ijkRERKQK/Pyz93hcuDDqSHJS1kbczGwc0GI9dw0LIYzOwPEHA4MTV1eY2bTKHjOXVcu1FDuzmgDfRx2EVIjOXbzp/MWbzl98bV3RH8xa4hZC2LsCP/YNsFmp65smblvf8W8Hbgcws8khhJ7re5zkPp2/+NK5izedv3jT+YsvM5tc0Z/NtXGcMcCRZlZiZu2ArYCJEcckIiIikhOiKgdyqJl9DewMPGNmLwCEEKYDjwIzgOeB00MIKuYiIiIiQnS7SkcBo8q473Lg8o085O2VDkqipPMXXzp38abzF286f/FV4XNnIYRMBiIiIiIiWZJra9xEREREpAyxStzMbP9EK6yZZnbBeu4vMbNHEve/Y2Ztqz5KWZ80zt3ZZjbDzD4ws5fMrE0Uccr6bej8lXrcYWYWft3KTqKVzvkzsyMSf4PTzWxEVcco65fGa+fmZvaKmb2XeP08MIo45bfM7C4zm19WuTJz/0mc2w/MrHs6x41N4pZofXUTcACwDXBUokVWaX8EFoQQ2gPXA1dWbZSyPmmeu/eAniGE7YDHgKuqNkopS5rnDzOrBwwF3qnaCKU86Zw/M9sKuBDYJYTQGTizygOV30jzb+8i4NEQQje8ZeTNVRullOMevH1nWQ7Aq2dshdelvSWdg8YmccNbX80MIXwRQlgJPIy3yCqtP3Bv4vvHgL1sPX21pMpt8NyFEF4JISxLXH0br+EnuSGdvz2Av+MflpZXZXCyQemcv5OAm0IICwBCCPOrOEZZv3TOXQDqJ75vAMytwvikHCGE14Afy3lIf+C+4N4GNjGzlhs6bpwSt3TaYf3ymBDCamAR0LhKopPybGwrsz8Cz2U1ItkYGzx/iSH+zUIIz1RlYJKWdP7+OgAdzOwNM3vbzMobJZCqk865Gw4cmyix9SwwpGpCkwyoUJvPSMqBiJTFzI4FegJ9oo5F0mNm1YDrgEERhyIVV4RP1+yBj3a/ZmbbhhDULDL3HQXcE0K41sx2Bu43sy4hhLVRBybZEacRt3TaYf3yGDMrwoeNf6iS6KQ8abUyM7O9gWHAISGEFVUUm2zYhs5fPaALMN7MZgO9gDHaoJAz0vn7+xoYE0JYFUKYBXyKJ3ISrXTO3R/xwvWEEN4CauI9TCX3pd3ms7Q4JW6TgK3MrJ2Z1cAXYY751WPGACckvv8d8HJQobpcsMFzZ2bdgNvwpE3ra3JLuecvhLAohNAkhNA2hNAWX6N4SAihwr34JKPSee18Eh9tw8ya4FOnX1RlkLJe6Zy7OcBeAGbWCU/cvqvSKKWixgDHJ3aX9gIWhRD+t6Efis1UaQhhtZn9GXgBqA7cFUKYbmaXAZNDCGOAO/Fh4pn4gsAjo4tYktI8d1cDdYGRif0kc0IIh0QWtPwizfMnOSrN8/cCsK+ZzQDWAOeGEDRbEbE0z905wB1mdha+UWGQBixyg5k9hH8gapJYg3gJUAwQQrgVX5N4IDATWAacmNZxdX5FRERE4iFOU6UiIiIiBU2Jm4iIiEhMKHETERERiQklbiIiIiIxocRNREREJCaUuImIiIjEhBI3EclLZrbGzKaa2XQze9/Mzkm050re383M7ix1fX8zm2hmHyd+7hEz27zU/f82s93Leb5rzGzPUtcfNjN1HxCRjFIdNxHJS2a2NIRQN/F9M2AE8EYI4ZLEbSOBf4QQ3jezLsAovOPDR4n7DwEWhhBeM7PGwDMhhF7lPF8b4I4Qwr6J632AY0MIJ2XxnykiBUaJm4jkpdKJW+L6FngLoSZ4l47JIYStE/fdj7fIu7uMYw0GWoUQhid6sP5f4q7qQJcQgiUeNwU4KIQwLzG69zmwVQhhdXb+lSJSaDRVKiIFIYTwBZ5oNQN6AtNK3d0ZeLecH98FmJI4zuQQQtcQQlfgeeCaUo97N/FYQghr8VY222fq3yAiosRNRApRS8poxG1mjRNr3D41s7+U9Xgz+z3QHbig1M3zgVblXBcRqRQlbiJSEBJTpWvwZOpnoGapu6fjSRghhB8So2m341Oq/PrxiTVxw4EjQwhrSh2nZuKxZV0XEakUJW4ikvfMrClwK/Df4At7PwLal3rIVcAwM+tU6rbapb7/5fFmtgnwEHB8COHXo3YdWHcK9tfXRUQqpSjqAEREsqSWmU0FioHVwP3AdQAhhI/NrIGZ1QshLAkhfGhmQ4H7zKw+8D0wB7gkcaxngJPxTQn9gTbAHWZG4nhdzawYT+4mA5hZc+DnEMK8qvnnikgh0K5SESlIZnYWsCSE8H8bfLA/fgJwcAhhYRn3Hwp0DyFcXOr4i0MId67v8SIiFaGpUhEpVLcAKzbi8ecAm5dzfxFwbanrC4F7KxCXiEiZNOImIiIiEhMacRMRERGJCSVuIiIiIjGhxE1EREQkJpS4iYiIiMSEEjcRERGRmPh/OtSCPpdNs5sAAAAASUVORK5CYII=\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(10,5))\n", "ax = fig.add_subplot(1, 1, 1)\n", "ax.plot(x_data, sat_loss_data, 'r', label='Saturating G loss')\n", "ax.plot(x_data, sat_loss_derivation_data, 'r--', label='Derivation saturating G loss')\n", "ax.plot(x_data, non_sat_loss_data, 'b', label='non-saturating loss')\n", "ax.plot(x_data, non_sat_loss_derivation_data, 'b--', label='Derivation non-saturating G loss')\n", "ax.set_xlim([0, 1])\n", "ax.set_ylim([-10, 4])\n", "ax.grid(True, which='both')\n", "ax.axhline(y=0, color='k')\n", "ax.axvline(x=0, color='k')\n", "ax.set_title('Saturating and non-saturating loss function')\n", "plt.xlabel('D(G(z))')\n", "plt.ylabel('Loss / derivation of loss')\n", "ax.legend()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "# Establish convention for real and fake labels during training\n", "real_label = 1\n", "fake_label = 0\n", "\n", "# Create batch of latent vectors that we will use to visualize\n", "# the progression of the generator\n", "fixed_noise = torch.randn(64, nz, 1, 1, device=device)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "def training_loop(num_epochs=num_epochs, saturating=False):\n", " \n", " ## Create the generator\n", " netG = Generator(ngpu).to(device)\n", "\n", " # Handle multi-gpu if desired\n", " if (device.type == 'cuda') and (ngpu > 1):\n", " netG = nn.DataParallel(netG, list(range(ngpu)))\n", "\n", " # Apply the weights_init function to randomly initialize all weights\n", " # to mean=0, stdev=0.2.\n", " netG.apply(weights_init)\n", " \n", " ## Create the Discriminator\n", " netD = Discriminator(ngpu).to(device)\n", "\n", " # Handle multi-gpu if desired\n", " if (device.type == 'cuda') and (ngpu > 1):\n", " netD = nn.DataParallel(netD, list(range(ngpu)))\n", "\n", " # Apply the weights_init function to randomly initialize all weights\n", " # to mean=0, stdev=0.2.\n", " netD.apply(weights_init)\n", " \n", " \n", " ## Initialize BCELoss function\n", " #criterion = nn.BCELoss()\n", " criterion = nn.BCEWithLogitsLoss() # more stable than nn.BCELoss\n", "\n", " # Setup Adam optimizers for both G and D\n", " optimizerD = optim.Adam(netD.parameters(), lr=lr, betas=(beta1, 0.999))\n", " optimizerG = optim.Adam(netG.parameters(), lr=lr, betas=(beta1, 0.999))\n", " \n", " \n", " ## Training Loop\n", "\n", " # Lists to keep track of progress\n", " img_list = []\n", " G_losses = []\n", " G_grads_mean = []\n", " G_grads_std = []\n", " D_losses = []\n", " iters = 0\n", "\n", " print(\"Starting Training Loop...\")\n", " # For each epoch\n", " for epoch in range(num_epochs):\n", " # For each batch in the dataloader\n", " for i, data in enumerate(dataloader, 0):\n", "\n", " ############################\n", " # (1) Update D network: maximize log(D(x)) + log(1 - D(G(z)))\n", " ###########################\n", " ## Train with all-real batch\n", " netD.zero_grad()\n", " # Format batch\n", " real_cpu = data[0].to(device)\n", " b_size = real_cpu.size(0)\n", " label = torch.full((b_size,), real_label, device=device)\n", " # Forward pass real batch through D\n", " output = netD(real_cpu).view(-1)\n", " # Calculate loss on all-real batch\n", " errD_real = criterion(output, label)\n", " # Calculate gradients for D in backward pass\n", " errD_real.backward()\n", " D_x = output.mean().item()\n", "\n", " ## Train with all-fake batch\n", " # Generate batch of latent vectors\n", " noise = torch.randn(b_size, nz, 1, 1, device=device)\n", " # Generate fake image batch with G\n", " fake = netG(noise)\n", " label.fill_(fake_label)\n", " # Classify all fake batch with D\n", " output = netD(fake.detach()).view(-1)\n", " # Calculate D's loss on the all-fake batch\n", " errD_fake = criterion(output, label)\n", " # Calculate the gradients for this batch\n", " errD_fake.backward()\n", " D_G_z1 = output.mean().item()\n", " # Add the gradients from the all-real and all-fake batches\n", " errD = errD_real + errD_fake\n", " # Update D\n", " optimizerD.step()\n", "\n", " ############################\n", " # (2) Update G network: maximize log(D(G(z)))\n", " ###########################\n", " netG.zero_grad()\n", " \n", " if saturating:\n", " label.fill_(fake_label) # Saturating loss: Use fake_label y = 0 to get J(G) = log(1−D(G(z)))\n", " else:\n", " label.fill_(real_label) # Non-saturating loss: fake labels are real for generator cost\n", " \n", " # Since we just updated D, perform another forward pass of all-fake batch through D\n", " output = netD(fake).view(-1)\n", " # Calculate G's loss based on this output\n", " \n", " if saturating:\n", " errG = -criterion(output, label) # Saturating loss: -J(D) = J(G)\n", " else:\n", " errG = criterion(output, label) # Non-saturating loss\n", " \n", " # Calculate gradients for G\n", " errG.backward()\n", " D_G_z2 = output.mean().item()\n", " # Update G\n", " optimizerG.step()\n", " \n", " # Save gradients\n", " G_grad = [p.grad.view(-1).cpu().numpy() for p in list(netG.parameters())]\n", " G_grads_mean.append(np.concatenate(G_grad).mean())\n", " G_grads_std.append(np.concatenate(G_grad).std())\n", "\n", " # Output training stats\n", " if i % 50 == 0:\n", " print('[%d/%d][%d/%d]\\tLoss_D: %.4f\\tLoss_G: %.4f\\tD(x): %.4f\\tD(G(z)): %.4f / %.4f'\n", " % (epoch+1, num_epochs, i, len(dataloader),\n", " errD.item(), errG.item(), D_x, D_G_z1, D_G_z2))\n", "\n", " # Save Losses for plotting later\n", " G_losses.append(errG.item())\n", " D_losses.append(errD.item())\n", "\n", " # Check how the generator is doing by saving G's output on fixed_noise\n", " if (iters % 500 == 0) or ((epoch == num_epochs-1) and (i == len(dataloader)-1)):\n", " with torch.no_grad():\n", " fake = netG(fixed_noise).detach().cpu()\n", " img_list.append(vutils.make_grid(fake, padding=2, normalize=True))\n", "\n", " iters += 1\n", " \n", " return G_losses, D_losses, G_grads_mean, G_grads_std, img_list" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Starting Training Loop...\n", "[1/10][0/235]\tLoss_D: 1.3887\tLoss_G: -0.4508\tD(x): -0.2936\tD(G(z)): -0.4256 / -0.6127\n", "[1/10][50/235]\tLoss_D: 0.3291\tLoss_G: -0.0834\tD(x): 2.0319\tD(G(z)): -2.0001 / -2.5753\n", "[1/10][100/235]\tLoss_D: 0.1132\tLoss_G: -0.0283\tD(x): 3.5382\tD(G(z)): -3.1206 / -3.7979\n", "[1/10][150/235]\tLoss_D: 0.2081\tLoss_G: -0.0607\tD(x): 2.5793\tD(G(z)): -2.4521 / -2.9096\n", "[1/10][200/235]\tLoss_D: 0.2112\tLoss_G: -0.0398\tD(x): 2.8777\tD(G(z)): -2.4249 / -3.5479\n", "[2/10][0/235]\tLoss_D: 0.0650\tLoss_G: -0.0190\tD(x): 3.6582\tD(G(z)): -3.9902 / -4.2413\n", "[2/10][50/235]\tLoss_D: 0.0594\tLoss_G: -0.0206\tD(x): 3.9822\tD(G(z)): -3.9017 / -4.2014\n", "[2/10][100/235]\tLoss_D: 0.0394\tLoss_G: -0.0116\tD(x): 4.1730\tD(G(z)): -4.7400 / -4.8724\n", "[2/10][150/235]\tLoss_D: 0.0936\tLoss_G: -0.0312\tD(x): 3.4650\tD(G(z)): -3.5113 / -3.7421\n", "[2/10][200/235]\tLoss_D: 0.0640\tLoss_G: -0.0228\tD(x): 3.9037\tD(G(z)): -3.8585 / -4.0961\n", "[3/10][0/235]\tLoss_D: 0.0612\tLoss_G: -0.0256\tD(x): 3.9085\tD(G(z)): -3.8678 / -4.0078\n", "[3/10][50/235]\tLoss_D: 0.0528\tLoss_G: -0.0271\tD(x): 3.9490\tD(G(z)): -4.2961 / -4.0545\n", "[3/10][100/235]\tLoss_D: 0.1277\tLoss_G: -0.0312\tD(x): 3.3842\tD(G(z)): -3.1278 / -3.8937\n", "[3/10][150/235]\tLoss_D: 0.0052\tLoss_G: -0.0015\tD(x): 6.2872\tD(G(z)): -7.2038 / -7.2102\n", "[3/10][200/235]\tLoss_D: 0.0036\tLoss_G: -0.0018\tD(x): 6.9495\tD(G(z)): -7.2417 / -7.2576\n", "[4/10][0/235]\tLoss_D: 0.0034\tLoss_G: -0.0020\tD(x): 7.1236\tD(G(z)): -7.1970 / -7.2162\n", "[4/10][50/235]\tLoss_D: 0.0051\tLoss_G: -0.0036\tD(x): 7.2039\tD(G(z)): -6.8757 / -6.9126\n", "[4/10][100/235]\tLoss_D: 0.0374\tLoss_G: -0.0189\tD(x): 4.9919\tD(G(z)): -4.4543 / -4.6834\n", "[4/10][150/235]\tLoss_D: 0.1152\tLoss_G: -0.0508\tD(x): 3.3369\tD(G(z)): -2.9284 / -3.2181\n", "[4/10][200/235]\tLoss_D: 0.1604\tLoss_G: -0.0619\tD(x): 2.3802\tD(G(z)): -3.7964 / -3.1447\n", "[5/10][0/235]\tLoss_D: 0.1337\tLoss_G: -0.0249\tD(x): 3.8816\tD(G(z)): -2.6651 / -4.1167\n", "[5/10][50/235]\tLoss_D: 0.0161\tLoss_G: -0.0073\tD(x): 5.8879\tD(G(z)): -5.3289 / -5.4183\n", "[5/10][100/235]\tLoss_D: 0.0171\tLoss_G: -0.0087\tD(x): 6.1156\tD(G(z)): -5.5586 / -5.6091\n", "[5/10][150/235]\tLoss_D: 0.0097\tLoss_G: -0.0052\tD(x): 6.3340\tD(G(z)): -5.6881 / -5.7770\n", "[5/10][200/235]\tLoss_D: 0.0050\tLoss_G: -0.0029\tD(x): 7.1016\tD(G(z)): -6.2738 / -6.3071\n", "[6/10][0/235]\tLoss_D: 0.0041\tLoss_G: -0.0020\tD(x): 7.0734\tD(G(z)): -6.7138 / -6.7284\n", "[6/10][50/235]\tLoss_D: 0.0035\tLoss_G: -0.0022\tD(x): 7.4029\tD(G(z)): -6.6583 / -6.6866\n", "[6/10][100/235]\tLoss_D: 0.0053\tLoss_G: -0.0029\tD(x): 6.8388\tD(G(z)): -6.2711 / -6.3487\n", "[6/10][150/235]\tLoss_D: 0.0227\tLoss_G: -0.0093\tD(x): 5.2345\tD(G(z)): -4.8389 / -4.9807\n", "[6/10][200/235]\tLoss_D: 0.0473\tLoss_G: -0.0174\tD(x): 4.6603\tD(G(z)): -4.1599 / -4.6472\n", "[7/10][0/235]\tLoss_D: 0.0186\tLoss_G: -0.0115\tD(x): 5.7913\tD(G(z)): -5.1837 / -5.2712\n", "[7/10][50/235]\tLoss_D: 0.0390\tLoss_G: -0.0172\tD(x): 4.9137\tD(G(z)): -4.2505 / -4.5570\n", "[7/10][100/235]\tLoss_D: 0.2280\tLoss_G: -0.0568\tD(x): 2.7351\tD(G(z)): -2.2266 / -3.1321\n", "[7/10][150/235]\tLoss_D: 0.1663\tLoss_G: -0.0937\tD(x): 2.4980\tD(G(z)): -3.2400 / -2.6628\n", "[7/10][200/235]\tLoss_D: 0.1358\tLoss_G: -0.0613\tD(x): 2.6048\tD(G(z)): -3.6537 / -3.1476\n", "[8/10][0/235]\tLoss_D: 0.1024\tLoss_G: -0.0532\tD(x): 3.4416\tD(G(z)): -3.3524 / -3.3278\n", "[8/10][50/235]\tLoss_D: 0.0031\tLoss_G: -0.0009\tD(x): 6.8739\tD(G(z)): -8.7508 / -8.7250\n", "[8/10][100/235]\tLoss_D: 0.0036\tLoss_G: -0.0014\tD(x): 7.5558\tD(G(z)): -8.3003 / -8.3119\n", "[8/10][150/235]\tLoss_D: 0.0031\tLoss_G: -0.0017\tD(x): 7.7257\tD(G(z)): -7.7145 / -7.7349\n", "[8/10][200/235]\tLoss_D: 0.1613\tLoss_G: -0.0346\tD(x): 3.5118\tD(G(z)): -3.0895 / -4.0275\n", "[9/10][0/235]\tLoss_D: 0.1315\tLoss_G: -0.0649\tD(x): 2.7865\tD(G(z)): -3.7079 / -3.2155\n", "[9/10][50/235]\tLoss_D: 0.0010\tLoss_G: -0.0003\tD(x): 7.6770\tD(G(z)): -8.8490 / -8.8476\n", "[9/10][100/235]\tLoss_D: 0.0011\tLoss_G: -0.0005\tD(x): 7.8612\tD(G(z)): -8.4162 / -8.4179\n", "[9/10][150/235]\tLoss_D: 0.0012\tLoss_G: -0.0006\tD(x): 7.9798\tD(G(z)): -8.0923 / -8.0970\n", "[9/10][200/235]\tLoss_D: 0.0015\tLoss_G: -0.0009\tD(x): 7.9355\tD(G(z)): -7.6068 / -7.6184\n", "[10/10][0/235]\tLoss_D: 0.0027\tLoss_G: -0.0020\tD(x): 7.8045\tD(G(z)): -6.8003 / -6.8429\n", "[10/10][50/235]\tLoss_D: 0.0100\tLoss_G: -0.0041\tD(x): 5.5954\tD(G(z)): -5.7344 / -5.8612\n", "[10/10][100/235]\tLoss_D: 0.0114\tLoss_G: -0.0054\tD(x): 5.7873\tD(G(z)): -5.4751 / -5.5821\n", "[10/10][150/235]\tLoss_D: 0.0107\tLoss_G: -0.0048\tD(x): 5.7647\tD(G(z)): -5.6374 / -5.7180\n", "[10/10][200/235]\tLoss_D: 0.0142\tLoss_G: -0.0067\tD(x): 5.6557\tD(G(z)): -5.4688 / -5.5581\n" ] } ], "source": [ "# Train with saturating G loss\n", "G_losses_sat, D_losses_sat, G_grads_mean_sat, G_grads_std_sat, img_list_sat = training_loop(saturating=True)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Starting Training Loop...\n", "[1/10][0/235]\tLoss_D: 1.4806\tLoss_G: 0.8172\tD(x): -0.0447\tD(G(z)): 0.0793 / -0.2075\n", "[1/10][50/235]\tLoss_D: 0.7044\tLoss_G: 2.1220\tD(x): 0.8629\tD(G(z)): -1.1168 / -1.9880\n", "[1/10][100/235]\tLoss_D: 0.7730\tLoss_G: 2.8524\tD(x): 0.9181\tD(G(z)): -0.8912 / -2.7809\n", "[1/10][150/235]\tLoss_D: 0.5983\tLoss_G: 2.5466\tD(x): 1.6292\tD(G(z)): -0.8499 / -2.4517\n", "[1/10][200/235]\tLoss_D: 0.5546\tLoss_G: 3.4062\tD(x): 2.8636\tD(G(z)): -0.5865 / -3.3674\n", "[2/10][0/235]\tLoss_D: 0.3519\tLoss_G: 2.7590\tD(x): 1.9300\tD(G(z)): -1.7959 / -2.6780\n", "[2/10][50/235]\tLoss_D: 0.3308\tLoss_G: 2.5970\tD(x): 2.0969\tD(G(z)): -1.7170 / -2.5044\n", "[2/10][100/235]\tLoss_D: 0.2906\tLoss_G: 2.2772\tD(x): 1.9329\tD(G(z)): -2.1988 / -2.1487\n", "[2/10][150/235]\tLoss_D: 0.3888\tLoss_G: 2.7510\tD(x): 2.5243\tD(G(z)): -1.2754 / -2.6730\n", "[2/10][200/235]\tLoss_D: 0.3172\tLoss_G: 1.6518\tD(x): 1.6552\tD(G(z)): -2.5283 / -1.3866\n", "[3/10][0/235]\tLoss_D: 1.6868\tLoss_G: 4.0523\tD(x): 5.7553\tD(G(z)): 1.3798 / -4.0271\n", "[3/10][50/235]\tLoss_D: 2.3933\tLoss_G: 0.9973\tD(x): -2.2437\tD(G(z)): -6.1110 / -0.3708\n", "[3/10][100/235]\tLoss_D: 1.0796\tLoss_G: 7.2032\tD(x): 5.0410\tD(G(z)): 0.5031 / -7.2021\n", "[3/10][150/235]\tLoss_D: 0.2849\tLoss_G: 2.1368\tD(x): 2.1947\tD(G(z)): -2.0871 / -1.9783\n", "[3/10][200/235]\tLoss_D: 0.2950\tLoss_G: 2.7243\tD(x): 2.6610\tD(G(z)): -1.7325 / -2.6387\n", "[4/10][0/235]\tLoss_D: 0.2870\tLoss_G: 2.3895\tD(x): 2.3218\tD(G(z)): -1.9871 / -2.2675\n", "[4/10][50/235]\tLoss_D: 0.3742\tLoss_G: 1.8984\tD(x): 1.4942\tD(G(z)): -2.4912 / -1.6904\n", "[4/10][100/235]\tLoss_D: 0.3780\tLoss_G: 1.3870\tD(x): 1.3651\tD(G(z)): -2.7237 / -1.0159\n", "[4/10][150/235]\tLoss_D: 0.3416\tLoss_G: 2.8508\tD(x): 2.6546\tD(G(z)): -1.5420 / -2.7724\n", "[4/10][200/235]\tLoss_D: 0.3743\tLoss_G: 2.3610\tD(x): 2.2388\tD(G(z)): -1.5798 / -2.2348\n", "[5/10][0/235]\tLoss_D: 0.8888\tLoss_G: 3.8335\tD(x): 3.7872\tD(G(z)): 0.1543 / -3.8041\n", "[5/10][50/235]\tLoss_D: 0.5466\tLoss_G: 2.7397\tD(x): 2.4668\tD(G(z)): -0.8038 / -2.6563\n", "[5/10][100/235]\tLoss_D: 1.3939\tLoss_G: 0.2562\tD(x): -0.9272\tD(G(z)): -4.3648 / 1.4594\n", "[5/10][150/235]\tLoss_D: 0.4209\tLoss_G: 2.0110\tD(x): 1.8750\tD(G(z)): -1.5667 / -1.8254\n", "[5/10][200/235]\tLoss_D: 0.5267\tLoss_G: 1.5757\tD(x): 1.1206\tD(G(z)): -1.8176 / -1.2863\n", "[6/10][0/235]\tLoss_D: 0.5964\tLoss_G: 1.2519\tD(x): 0.7687\tD(G(z)): -2.1497 / -0.8305\n", "[6/10][50/235]\tLoss_D: 0.8342\tLoss_G: 2.7040\tD(x): 2.8922\tD(G(z)): -0.0021 / -2.6150\n", "[6/10][100/235]\tLoss_D: 0.8347\tLoss_G: 3.2591\tD(x): 2.8237\tD(G(z)): 0.0038 / -3.2102\n", "[6/10][150/235]\tLoss_D: 0.7580\tLoss_G: 2.2694\tD(x): 2.5903\tD(G(z)): -0.2334 / -2.1263\n", "[6/10][200/235]\tLoss_D: 0.6888\tLoss_G: 2.3309\tD(x): 2.1053\tD(G(z)): -0.4848 / -2.1988\n", "[7/10][0/235]\tLoss_D: 0.6861\tLoss_G: 2.2548\tD(x): 2.0530\tD(G(z)): -0.5077 / -2.1189\n", "[7/10][50/235]\tLoss_D: 0.7380\tLoss_G: 2.2261\tD(x): 2.2898\tD(G(z)): -0.3398 / -2.0788\n", "[7/10][100/235]\tLoss_D: 1.0114\tLoss_G: 1.0376\tD(x): -0.2493\tD(G(z)): -2.6130 / -0.4894\n", "[7/10][150/235]\tLoss_D: 0.6860\tLoss_G: 1.1018\tD(x): 0.4584\tD(G(z)): -2.3075 / -0.6002\n", "[7/10][200/235]\tLoss_D: 0.6408\tLoss_G: 2.2526\tD(x): 1.7789\tD(G(z)): -0.7521 / -2.1123\n", "[8/10][0/235]\tLoss_D: 0.6513\tLoss_G: 2.1164\tD(x): 1.9070\tD(G(z)): -0.6742 / -1.9593\n", "[8/10][50/235]\tLoss_D: 0.6021\tLoss_G: 1.5369\tD(x): 1.1008\tD(G(z)): -1.3862 / -1.2461\n", "[8/10][100/235]\tLoss_D: 0.7345\tLoss_G: 1.0822\tD(x): 0.3116\tD(G(z)): -2.2611 / -0.5846\n", "[8/10][150/235]\tLoss_D: 0.5946\tLoss_G: 1.5102\tD(x): 0.9741\tD(G(z)): -1.6062 / -1.2049\n", "[8/10][200/235]\tLoss_D: 0.6444\tLoss_G: 1.3050\tD(x): 0.8399\tD(G(z)): -1.5512 / -0.9241\n", "[9/10][0/235]\tLoss_D: 0.7738\tLoss_G: 0.8035\tD(x): 0.3042\tD(G(z)): -2.0040 / -0.0892\n", "[9/10][50/235]\tLoss_D: 0.6315\tLoss_G: 1.4747\tD(x): 1.1098\tD(G(z)): -1.3242 / -1.1537\n", "[9/10][100/235]\tLoss_D: 0.8309\tLoss_G: 1.0950\tD(x): 0.1284\tD(G(z)): -2.5120 / -0.5905\n", "[9/10][150/235]\tLoss_D: 0.6704\tLoss_G: 1.5814\tD(x): 0.9386\tD(G(z)): -1.3158 / -1.2952\n", "[9/10][200/235]\tLoss_D: 0.5917\tLoss_G: 1.7399\tD(x): 1.3321\tD(G(z)): -1.2021 / -1.5003\n", "[10/10][0/235]\tLoss_D: 0.6440\tLoss_G: 1.7975\tD(x): 1.4672\tD(G(z)): -0.9116 / -1.5754\n", "[10/10][50/235]\tLoss_D: 0.7311\tLoss_G: 0.9297\tD(x): 0.5071\tD(G(z)): -1.8895 / -0.3204\n", "[10/10][100/235]\tLoss_D: 0.6918\tLoss_G: 1.8201\tD(x): 1.9210\tD(G(z)): -0.5137 / -1.6040\n", "[10/10][150/235]\tLoss_D: 0.6514\tLoss_G: 1.6173\tD(x): 1.1796\tD(G(z)): -1.0846 / -1.3509\n", "[10/10][200/235]\tLoss_D: 0.6477\tLoss_G: 1.5817\tD(x): 1.2871\tD(G(z)): -1.0060 / -1.3080\n" ] } ], "source": [ "# Train with non-saturating G loss\n", "G_losses_nonsat, D_losses_nonsat, G_grads_mean_nonsat, G_grads_std_nonsat, img_list_nonsat = training_loop(saturating=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, lets check out how we did. Here, we will look at three\n", "different results. First, we will see how D and G’s losses changed\n", "during training. Second, we will visualize G’s output on the fixed_noise\n", "batch for every epoch. And third, we will look at a batch of real data\n", "next to a batch of fake data from G.\n", "\n", "**Loss versus training iteration**\n", "\n", "Below is a plot of D & G’s losses versus training iterations." ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,5))\n", "plt.title(\"Generator and discriminator loss\")\n", "plt.plot(G_losses_sat,label=\"Saturating G loss\", alpha=0.75)\n", "plt.plot(D_losses_sat,label=\"Saturating D loss\", alpha=0.75)\n", "plt.plot(G_losses_nonsat,label=\"Non-saturating G loss\", alpha=0.75)\n", "plt.plot(D_losses_nonsat,label=\"Non-saturating D loss\", alpha=0.75)\n", "plt.xlabel(\"Iterations\")\n", "plt.ylabel(\"Loss\")\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Generator gradients mean and standard deviation versus training iteration**\n", "\n", "Below is a plot of the G gradients mean and standard deviation versus training iterations." ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,5))\n", "plt.title(\"Generator gradient means\")\n", "plt.plot(G_grads_mean_sat, label=\"Saturating G loss\", alpha=0.75)\n", "plt.plot(G_grads_mean_nonsat, label=\"Non-saturating G loss\", alpha=0.75)\n", "plt.xlabel(\"Iterations\")\n", "plt.ylabel(\"Gradient mean\")\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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h/3/qU5/CIYccUvPdmjVrAKRmgHXr1sm8Zbt0iFilUsk4rhRh63ngcq7SZQwMDODKK6+sqevChQsBpJqKgYGBTF5emy0CtapHMgxqbF577TUAwK5du7zq1TwONUVCUSqViqhS//zP/xxAynTthDXcZzgPqVkjs9q3b1/GlFDUmSrvtXnCZuwxJXRCmNbW1owzFNtzzjnnAKiONdfK7t27AaTatM2bN4t2Sbc5ZG5qxKzimuvcq9mGm2++GSeccELNNRy3G264AUDVVPD8888DAF588UUAqaaDTri7du3Cm2++6azjcJguERlvRERERETECGJUMl47pCaP1EScfvrpNX9LpZJISZRS+VxKuHv37hVJTdt6KcVPmjRJyrJtc/a1+v967dKgpNXe3i5SHG0LdNfv7OzE3XffDSC1K/3pn/5pzTXt7e3CbMk0yPrJLqZNm4Zdu3YBAF566aWaa7X0CxSzQelxa21tlWezPXz2ueeeC6DK7Nlm9i/7noy+q6sL9913H4CUEZJFnnTSSQCARYsWZVgamctzzz0HAJgzZ47MhZDTB+vjm4cuexP7zraNaTZMRs52zp07V8ZOa1w2bNgAANi4caPUK5T2sIgkXkSK52+2zwRZDtvF9bB582asX78eQKoV0uFFLS0tcj9txNTqUNORJImXQbnAa9mvIX8LrSk5cOCAaF9mzpwJINVscUw7Ojrwk5/8RP4HqnPJxoQJE2Ru2bZqux52mNRIguNNnw5qUA477DAZJ86zt73tbQBSFmjb/w877DAAwIIFCwBU90+u64kTJwJw740aLo1NPUeycrksc4hrhuP+xS9+EUA1zFKva7aVc832KWEbeQ/rPjAwIPuoZtUHA5HxRkREREREjCBGJeMF/K72dvJ62jkp5X7iE58AUOsFSQnp85//fM1vlNKMMSLdUjKntEqpbt++fRIaoYPmbYaoWZKvTa52sT4dHR3CGGhroa3vnnvuEUbAenz9618HUPUmBaqSOm1PBEOoyCLHjBlTI9kB2UMBbK9mnyRq38ffNMMrl8vCUCl5Ll68GABw9dVXA0iZHpDakO6///6a/tm6dav0i/Z2XbZsmXzW9aBES5vktm3bZJyJkNds6HhAlmUnGgBSW5L9XPbzj3/845p7SqUSjj76aACpZoJjQwaxf/9+mQM+225eL3T7ehsuxsy5zfXxvve9Txghx4zz8ctf/rJ8JhvRrM/WarCup512Ws21XGf2ffb8YF3rIRSOyHrYHrGXXHIJAODQQw8FkLK/r3zlKwBq9wBqp9j2GTNmyLOpVfIh5I1cJIwrL7S3ONvOcTTGyHfnnXceAODtb3+7tyxqCul/smvXLvHD4Lz1ecXb0N7Irjq72sB5zz7/u7/7OwBpQiE7NJG+E5s2bQIAsevu3Lkz4x9EUGPx8MMPZ1JhhvbBooiMNyIiIiIiYgQxKhmvLaVqLzz+PXDggDCXm266CUBqD7RB71HG7TLlIr1NgdRDj8kpyEBeeeUVAFW2pVPJEbbdilKlL1Wei/FqptnT0yPSNiU2Mg6b1WjGQ2lz1qxZIpHrpAC2Fy5txOxD3kPmbd9PNHLcWLlclvhhahCuuuoqAKmN1hgj/cqkBJRSySDseEG2gyxWM1gbLJP39Pf3C5MMtUt7D7sOP9cS/V/8xV8ASO2VNmgf/O1vfwsgtZG2tbVJO6ipIOuiDbGnp0fmFKVv2rY47qVSKeM9njc6gJ999mwmUrjiiisydtfly5cDAB555BEAqXeyDZZhxydzXKnVoZ2R92/atKmuZ7kNrhUfW3KBv5133nlie2f/PvvsswDSvWH69OliH+Vfap1476xZsyQxD9esy0Pcl1hiuB7qrn7SGigyOu5nvb29sh7OP//8mvbZ4PzjOHH/nDdvnrRZt0trFmy4fCjqaQptL+2/+qu/ApAyXaJSqYhnPPf8VatWAahqu9g+tplaQK45jtv48eNlD3AlvbHr1QhG5YvXVhe4VMz8nqo5qkhcoGqPC5MqCv6dM2eO/MaOpbqTg7Bv3z5Re/FlwRcV1Wp9fX1yjc8Ib0+skBqG5XIC8Xl2AgOWz4nHMA9jjKhX+ULSqrq2tjacfPLJAICXX34ZQLqB26EfeU6ccb1ogdpTlPg/BRpbzcV7br/9dgCpis82BbANHB/+5abIdob6kmruUqkk46TPaLahBT4XdLKOyy67rOZeABKo/+1vfxtAqkq11Vi8hmU9/fTTNX3R3t5e43wHpIKJ/VLLsxHkeYnxOwps3ORsNSpV37/73e8ApOvgwIEDmWQfWvXX3t4u5gY6vLBfOO52AoMi7SqyKTLRwkUXXSQvlEcffRRA+uJlv9sJXKgep0MWVZgtLS3SHr5YHnroIQBptivb/NDIxp3H0VHvlUA2KZBtMuP1VCO7HO84Pk899RSA9CW2du1aWY+20A6Ew/WKtM2e4+xfOlTqObZ+/XoxD9A5ivOY1+zcuVP2fzp48sXLPnjppZdESHElHRkuoqo5IiIiIiJiBDEqGa/tcq8TO1Ad197ejosvvrjmN42BgQEJ8GcyCToaUQIcM2aMqF0oPd1zzz0AUvXZpEmTMuyK0julYFvS94WphILebScrSqC6jHK5nJFq+ZcS6JQpU4R9UAXmqg+D47XDkp0SsBHVMmFL3WTRNnuw27Vz507RTDBUg2FAVFM3NTVJuyid0qGMY2L3L6VvhkuxL0888cSMaiyUkMEn7ba0tEgZtnONBtkQtSgMx1m7di2AKlN8/PHHAaTjpNnJuHHjRIvB38g4yZbHjBkjTD4P8jBf1oeal8MPP1zG9Utf+hKAVGNy9tlnA6iOH5/N+nB8WPfp06eL1oP1J7snS0mSRFSemkmF4HPKtL9jvZg8Yf78+RK6xbXP+6j67urqkvnL32gioKbDTj/LPnv44YcBpAzTPuXId/5yCKF2ufpCh065TAwMLfyXf/kXAMBnP/vZmvZt2rQJX/va1wCka47t6u7ulvK1uSqP9sFluvFds3fvXimfmh+Ce8o3v/lNSVLD+nDtky13dnZK26gyt02YfJ7WLhY5X7geIuONiIiIiIgYQYxKxmu7uOvEDpRCjj76aFx44YXB57S0tEiIUR5QsmIAOZNqP/bYY3jLW94CIHXg4kkkW7ZsAZDvFBtXKAFhS786ZaXN+rXUTgcCMvKPfOQjmbRutHHYgeC0fWqXeUp8eQP9tQStGXlvb69oKWjjpURMtrN7925huKwP2/zWt74VQFUy5W8si0nqyZztZ5Nh0P5PqX7FihU1aQDt5+Vpl504nW384Ac/CCCbGhFIwy6++93vAqimiARSW1JXV5ewfDJxamWosWhtbRWWz77kfKSNddOmTUEnMw3X2GqtB5/Hvuvr65P+YFo+1lmH2gDpuHCtcO2cdtppMn9pS2W/kOXaPhNFkGfO2loqoJqMhiFg7HuuIdZ5woQJGc0K1xXHxE7Yw3ZQi0aGZTsIFQlLaSSExZWwx3WSENc+NUrUEnGM169fL3OUCXy0AxWQrj3dvrw+Ipoh2/4d/J79qkMAWb+1a9eKw5ROBsSwpzlz5kgiEK5naloefPBBKYvr2efrMhxbb2S8ERERERERI4hRyXiBVJqg1ELplFLmrFmzMseoDTewmfeTXTAU5YknnsCNN94o5QKQRPD08qPNKi98Uq8rTMW+RzN/SuZkk93d3Vi5ciWANHkEbZDsu23btomLvU6H1mgfhs7i5NjRpkZvQUqm+/fvFy9rshGy20svvRRAlUkxaTnHgCzCTmRBqZ0shAyMUm9HR4fcHwp3ILRtzB4beubSq9nFnPWxgLQZsr27du0SGy/t2ToxzIwZM6TOvJ/MjDbWl156KWP3csEXMmTXn/1BxkmPX/tgCIYYse5MJjFt2jSpBxkix4Ie+IODg6Kp4Vyg/Y1M/oUXXhAG5bLh14NrDWltEcdmypQpMu/Yr9ovwY4M0Gkg7TL4GzVhnBsc0z179shaK3LcYahdIegQGK5Fuy/Zds4x3kM79QsvvCD116FheRPt5GmX7zlcB319fcJU2c9sB30mmpubM+GUbB/rfPnll8v9t912G4DUR4b7mB2Z4vISHy4i442IiIiIiBhBjErGW6lUMgHWZGtkSUuWLMl4/WqEgrJtu6mWZFj2pz71KQDAJz/5SZGAKX1RQnrsscfknjxxrz4vWZshhuLZKM2xze9617tq/pZKJYkZpFRHWyqZyyOPPCJM2bbp2n/t4PtGUtnZfUoWyphGxkGSJR166KGiZaBdid6GjB3t7+8XhquZLlGpVIRdaSbPmMupU6d6k5DkAZ87Z84cXHPNNQBSjYLLxst5xvnLJC1Ec3OzfEf2R4Zna1PIBFkGWckpp5wCAHKARL12hTQtvI9zi/Y02t/7+vpkvnCO0Q5NltvS0iJ9RI3RokWLAKRsfc2aNeJ/QE0R+8fuA5/XeR4v2dC1bDvZqO2HwMQKOvbdhk4iwucNDg6KPZt9YCeAAWojE3QdG21XSIuho0J03OvkyZMliQn9KTi2tIlu2LAhc5AM50iSJF7bbtF2+a7j8+bOnSu2WHoua6/4JUuWyBhyTjHml9qMsWPH4lvf+haANLkGx4dzPuQDcTAwKl+8Nrhx6qQHa9askZAKZphih9PhY8qUKaKK+8d//EcA6UTk9w8++CA++clPAqjNpAS4N1JuPHRq4aaybt06WWyNqJDsF5XPDd/e1JYuXQogDWXg4imXy7KR04GKk4rqmOXLl4tayZdhx5XsowjsNnDs+Pfee+8FkL5cW1tbpR+5WXPRcCPbsGGDbNJ88RIc02eeeUbCx9ifdN656667AFQ3egodOquPq/6EdjwaM2aMCDJ8WbAvuUnt379fwomYe/rjH/94zfPXrl0rWa0odNgqeCBNlmGDqj/Ow4ULF8qGWSSJhN1Ozi3ex3Yxm9gJJ5wg7edGR/U4VcW7d++WdcNQNX0C0fTp0zMZrlh3Pq+7u1uETB0SE2qHa/P3ORhx/xg/fnwmZ28IHBedi3rHjh2ieucGzvlr72PagXC4JjJCE4hyuZwxIenQn3379knbuY/yOXZCIO1wZztjukKUbOQZN/s639rbvn27CKM0p7FMrrnFixeLUMd1xL3OzmHP8DE6DlKAtJPZNOIElxdR1RwRERERETGCGJWM11Z76WBz23mBSRfIgMhkmON2y5YtIrVTbUwmRSmvo6MDn/70pwGkJ5GE1ExkLlQ1U0JqamoSBqdPMPK10UbIGcRO2kBmS+ccSnNEX1+f1J99RambDmHjx48XZuEr38UUGmG+tkMOQUmfIQCzZ8+WdlFCZygX0yd2d3fjYx/7mDzTBjUcGzZsEKbBMv7t3/6t5rn9/f3SP6ETUgj2Aa+h2rxSqQhL41ygOpjSeJIkwrSpmvv7v/97AOmc3bhxo/Qrr+E85tw99dRTM8k1yJLJPF0qO5ekHpLeNQOznaqAatIEsgZ9qhWdiZqammqcYew62udC09nsySefBJAmGmFfhhK4FFUDhsJTgOqYUpNFuFLUMmSK843zl2Oydu1amX+cJ1pzM27cuIz2LnSSUig0x8csXWtYOw3x+6amJmkHWSPrQ0ZvjMn8xjYcOHDAe25yvdPadJ19WgtbbU+tkg5nYn8/+uijMkep+aO63z6RiHORWg875zlRj+nGcKKIiIiIiIg/EoxKxgtkJTxKNvapGJRSCH7WCSgAZA5CoATY398vtqeQbZbSDe1VtNNQWjz66KNFktb1yoM8QebGGJE0taRGlr1hwwZx9rGTEQAQ++d9990n3+k0eKH6hBxV9GdX+kx9P9ty+umnC1uknYkMipg4caL0vZbi2c4JEyZIeZR6aQOnE9zWrVszTMPFrOqxidmzZ2fCmjiPeE13d7fYpX/2s58BSJOa2H4EdPLRzkicT7ZtSjMxspIDBw5kNDV52mWPl9Yu6dSVY8aMEVauQ7H4t6+vT+rE8CEyD7azublZEmbQBs/5a6dHZbmaoYacx0IsXydB4efp06dL3fgbGZRtj6UGQB9Yweccf/zxYjNkH+gzltesWZNhwyFnP9++4Aq/cTFOfT/7l86Gzc3Norkho7dPXOPz+D9tvHYqVw3NdPM6MTZiU9Whb62traI9o+O/lkJaAAAgAElEQVShdr4tlUryGxNm8P0Q0nYeTETGGxERERERMYIYtYxXS/aUYhhAPX/+fGETdGenV/Pq1asBVCV2LXXxWkrzn/nMZyTBex5bBAP/CTLwzs7OXBKez+PU9T2lL0qQ+/bty9g2eJADJbdKpYLrr78eQNpXtKPRBb+vry9zZFej9op6Hoy2ZK4ZDMf0wIED4mWu7UNklcuWLRMvRT6PLImJNZYsWSLXcJzJZOxx0knc8yQ/10cbzps3T1g6n00mxPCFzs5OkaQZLqXDtqZMmYIrrrhC6s/+sMucOHGi9AsZFdP62Z6nmn0UHVNt8+Y42d799tnQdjv4ecaMGeJjwQMh6DHK57/22mvCrthW++hLDb2eDlY4ETUos2fPFi9XhquwDfZcI2vlvsP5Sxv2vHnz5KhBap3Ikhma09bWJt/ptuZhhqHwG/25UqlIGbRznnXWWQBSTVBTUxM+//nPA0hZuQ4PArKaMVur6CoXKOZdnyesyPVMlsX2TZgwQdYTPee1t/769eslcQZ9dELnbeepc1FExhsRERERETGCGLWMl6BEQw9PSijlcllsLLQXUQIhAxkYGMjYjrStoqmpyZuAwwZjYHkcFpkGg87XrFkj0ljoGLN6QeY269bPsY/GI8MlU2B827vf/W6RyMlYaGMjM9y+fbswQ/YnYWsahhu/q9tMsM5kT/fff38m3SHtX5S0t23bJuNM6ZaezxyLs846S/5ncg5qP8hoJkyYkPHozmNTYhvIiDo6OqT+ZNVaSzN16tRM39MeTK/eyZMnSyJ+zVg5dzdt2iTMkMfWMV6U83jy5MnCWBpJeGJ/p+ek7TvBOrKf6SvA49quvfZaGTN68uq1++STTwpj53rUTLpUKnmPzysClxcw1xXX9MDAgMwT7gXsV/oPdHR0ZNI/MoEK5+rcuXNlbmptCvekwcFBWZ/sn1CqRZ9Xc4jJuw5AoHbmyiuvBJCy9d7eXmkz28W62pohjjP3n1D5efxFXPfm0QL6+oN92d7eLn4UWrNFrcNXvvIV8Uxn/7APhnO0ZhGM2hev7lgOODfNnp6ejKMTXz52Vhaq+Kh2oBpCO+qE8Pjjj4tqgg40DPmgc0ipVMqchhFqVwjaocw+15RZhJhUgSq7z33ucwCA888/P5Nzl5sbN8cXXnhB8rCGMk4VqXuR3/iZi7lUKsnCIfiZm/idd94p2Zm4kXMjPPXUUwFUBQq2S2/s7EvbJBBy5tDOYbrOW7ZscWbxAVCTi5ebLFV73NDt/LG8j3OKzi78fN999+G5554DkN3IbWegIrlkXX2g26zbPjAwIMIcnRTZrve9733SLr6oKSQwBI8q53Hjxsn9FEh03ZPEf4pP0Xmon6Ozv+3YsUP2BwoAdF4kWltbRc3Pecd2ffSjH635HkjnANXK3G8OOeSQjINdSLDQ4Wyu8fL1z+DgYEb4psDNtr/55psiLNBUp18+lUpF9l9dhl2nRpyjil6rX87aQXL79u0yvlzz7G8mgnnjjTdkHWoT5O8jWYYLUdUcERERERExghi1jFdLgfxMJrR+/XoJOdGnuxDNzc3iYHTBBRcAKMZ0qRq75ZZbhDlRqmWgvx12oM/5zIM80jwlt+nTp4vEyhATOkvwtBhX+A4ldfbXnj17vCoVV0A7UcT5o1HJUatr2b+9vb2Z02rICImVK1cK0yCj0s47rjzgedRmdrgMn8uUiBx3qittcwbVkGSonH/2iVpUgZEhcpzYF2TANrRzXNH+DrXZ1y+tra1SbzofXXTRRQBSrdPevXvxzDPPAAB++ctfAkjHgOr/9vb2jIORdoBx1bVIG+17fJoAmwHbCVZcZba0tEgbea1WGY8fP17axe84dtRQ2cxROyrlybHtqr/v+5aWFmHw3K/4mWOyevVqCeEjtJOdXbYeJ1einUYQeo79vW9dsl9POeUU0azwGmq/mJd51qxZmbmuy7bb7NOQReeqiIiIiIiIPxKMSsZrSx+UAskiaHvZvXu3SKf6XF6is7NTGKpOBhCS0sgGf/jDHwKoOmHQPkpbGyVbMitbaqaNwYWirvV2Xbu6uqQfGAJF5y7bMYf9QQZG5sG0fAMDA94+c9Uh5Pzhq3NIYsxTlv5sn8xEsO6065ZKpYy0zvljh240wqD4PDrb7Ny5E3feeSeANDkGbZu27Zflnn766QAgjlRkwqtWrRJJnPOZDJqfW1tb69a5UqkEpXaN0G+h8B0yObIKMiey9Ntuu01SZupEFbS1uUKGXGFteUKDfM+xP+u+c2nTqC3zpSu0bfF0TNKhXffcc4/0D7UxbDOfH0oM0uh4+a4plUpSBuvKcEg6lj300EOZ84kJlx1X+7HkCf3JW+c8zlX6Wh12eN1114k2hiyYfgR2SJQvhDDkI6A/R8YbERERERHxR4JRyXhtfb9mLrYtRksnrmPNvvjFLwJIQ47o3Ufv4FdffRXXXnstgJTpMrE9E9Ffc801Yrci0yUbIXOxk8P7JCGXJ2Ie2w2ls87OTjlSj+369re/XdOe3bt346tf/SqANLBfh1QZY6TeedznhyPZhRDy4tSfbebi68P9+/eL/VdL5nkk2RB4rX1IAn0A2IecE/QS7e3tFRZ8++23A0jZEuuzZ88ekcTJpnV604GBAblGJ7knXOwkD/J4ARNNTU3Sn7Rvf+Mb3wCQpvq0z5vlc/SY6Ge6yhzunAuForhsvtq3QP/t6emR+tNeS5bFELO1a9cK46Wmje2jpqpcLstY5kncotuj22L/77JFcg6Rca9YsQJAGo3R2tqasV0X9aD+fe0PoTnBdnFPs8/o5n7HPftHP/oRgNQm39fXV9dum0e7NxzbdmS8ERERERERI4hRyXjto+R89kVXcm4tiUydOlW8SWkbpv7/O9/5jjyHaReZso/XHnnkkQCqdjgd56UPwS6Xy5mj23z1Kwo+104ywQT0t9xyC4DU5nbfffeJNMi66qB+IBu3drAYRxFPYRt5yvfZgPi3tbXVe9RfHpuUC5ol2YdscA7yrz4erbW1tSbdIu+z76GkDtTGNdtoaWnJMF2X1N1I4gLXvb77+vv7MzHL9NrlfGpubq6xiwJZNmnDl16waJxonnnra5etYdP2bfsIP17DiAJ6CFOrMXnyZImF9dXVddxhEZaVpz38vlwuy/zj/KF3M9tgjMk1BqFD7n1svKjmpd719jX6aEWunTfeeEPa+NOf/hRAdq9zzUPX/nOwtC8ujMoXr93BoaQAurNcQfhU6yxevBhAqprgZLPDgJiYgZs3F9SBAwekDG4mdpIEXsMXY+iUo5AqVbeLsCc9y+WConOVHeZBVUsoZ2qeeuT5zYciqvQ8Kmf7OXqc7RewLlfPkbzqfh9cz9G/2eOlywiFzfjaZQuieRyOQkJGnpANH1paWmROcb5phzBXSExIden6jZ91nRoRnvKo0o0xmWfneRm69htChwi55m8jzmMugcS3VkqlkryguCfwBVVEYGtU1Vx0fYUEI/7Oa9gOTXJ27NghxIknx9lq/nrtcZWr0agQX/OMhu+MiIiIiIiIKIxRy3h9qh/7GoKSh1YzGmMkRymdougYQXba3t4uUjvz+ZL52unEdKo815mlPhWzC0WkJVtVx3owEQNVfWyf/Vyt1szraOKra0g6zCPdNvKbq0wfk7cdsLQaOo96O1RunrNS9Tx0sYEiqtRGTrnyleH7LY8DDWE7A9EBTCfysLU9edqVp67DudZGSIviYqa++3mNK9Ujf/M59yVJkmtPq1d2XubL8rnH6bKLjleeutarl+s5ecdLax71+durVq0SpsvfyPrtsoqw/EbaVQ+R8UZERERERIwgzO/DcFy4Esb84SsRERERERExDCRJkosGR8YbERERERExgogv3oiIiIiIiBFEfPFGRERERESMIEalV/MVV1yRSaemPexsDzdfLGCpVKobHF7UEzYE7eX2q1/9qubzZZdd5vWmayTwH0hj1JgopK2tTdLW6SPO6PlsjMl4BdIL0/YM14kP6AH585//vKZNdhkhT8QQDlawepHn6Gt//etfy2+XX345AP8h5aHnhwL02YeML+/v75c+18nqXXGmdnIE+55SqST36bXDwxyA7HgRobjkPAh5GjOpBK/ZsWOHRAfYxyPa7bHv98U+2+MVmodF2hXaJ4rAd1+on13zMM94Dce71r7ft+cO9/lAbZsAd7tCnts+HOx9w7fefWXqduXFqHzxusINCLtD9MRwhZfkGcx6L3BXPXzPqHdtaEHq+/VGamfP4Xd8ufL0kb6+PtnM+KKlq72d/MOXCcl+EfM75tplWSH4hBhfW+uhUcEkTz+HUC+UJU+7QqFQrvAvXq+zDZXLZe+pS/ZLic+yczz74OqfIhtdHjBkjyf12HmLffPPnoe+hCJF1pcdmljvnnrPyZMoYjjCStEXnO/6oqE+of0mz3OG82IuMg/zhODpurnKCNW3SPKZGE4UERERERHxR4JRyXiB+mrfUqmUK+mCT+oJqaxDUlgoqLoRNafrs267XS99ViulVKZQmzhxoqiadc5cm0348pfa0q/uO9dpKr522BKpT3IOSbkhFuL7GzrtpVHptIha0qUx0SpUPcdaW1slnR/Hy87JDVRzAusED65x07miG6mzq82NsAogm1aVTH7SpEmioWFaVs5RaleYoMO+L4/Wqki77DYUaXOIkQ1H45MnYUqRvSlPu1waAVeec80w67XFVWYIrv3cpw0JXZOHzdr/+077cpWhMRz1dmS8ERERERERI4hRy3gJbex2McMiji6UrMmOBgcHM4ca+JwMbORxmghBG/Pt77VTE68lqwVS5xymjuRZrnfeeaekydy5cyeAVKojixg7dmzGjuPSKBA8gzYPhtsvvufwWfZfOzUjP+sTcRp1Wmukjro+lUpF6qOvsc/X5TWch9RYEM3NzTKGWnthX6Ntuq62+2zX9b7j9z4GZWtKOM94LecoT8maNm2apPVjP7Dtjz76KICqJoDt0Q5YeeZTkXbZv/naZ8PngJPXz2M4zkN5ma6vLFe96G8wdepUAGnKXMI+Yct1mEQj66iRduVBaNztcaundbA1dY36iYQQGW9ERERERMQIYlQyXpfdNY8Xm0uKotRMqU0zoTFjxoiErs9cte1y9ezJIfuMq10+KcpmbWRHtOvOmDEDJ5xwAgDgvPPOA5DaxGbMmAEAWLZsmRyL9bvf/a7m2Vu2bAFQZb48B5Y2NtbHZsKaueQ5A1l/b//WiEaAKJVK0g9sMzUAnZ2dco2uY0g6LcJK8tiuXZoKzYLHjRsHIA2x6ejoEK9ztu/CCy8EkGos1q5dK3Ny8+bNzvpUKpXgube6XaEj7UJj6esX/u3p6ZFzrM8991wAEA0Mj+YE0rXFNr755ptyP9upPfeLjGUeb9kiHt22Jqqe/4mrHnaZReySoXYVWXusu95Tpk+fLmeUH3HEEQDSOcZ9qLOzE6+++iqAdA+wIxyKMHgiFLYz3D1F38c22+dn60MjtGbKXh95bM1FERlvRERERETECGJUMl5bB++TNvJISnYsIO0W11xzDQBg6dKlAKrS3K233gogy4btsotIc0U85PiZNrxKpSISKBkdbWQf+9jH5H9fGcuWLZP/r7rqKgApi/iP//gPAMDKlSszns+EHUNKJqal5Two4n0Zstvb3r9k9QsWLACQsvynn34aQJUZss/YrlAyizxScxFva11WS0uL2DX599RTTwVQTRIDVNk779dJTSiV33HHHfj6178uz+R9uk06xjdUV1c/F/HG1970vPeSSy7Bhz/84Zo62kyD0NqLmTNnAkjH9Be/+AUeeuihmvu09iBUv4MFltnS0iLe5rRLU9Pi0gQ1Ur/fR7t8mom3vvWtAIAbbrgB8+bNA5C2dceOHTXXPv/882KT37NnD4B0vJubmzP7Q0ib4mtPo74gRbQO06ZNAwCceeaZMm/J7l9//XUAacz52LFjve8DYjjMd1S+eAG/U5X913eNPRGoLj3jjDMAADfeeCOAdLFUKhWZTD/84Q8BILN5VyoVr0pZO0AB/gEJTS6WNXHiRFFH8tlHH300gOok1wJISK3IDYJqyvPPPx8A8MQTT8im7nNGam5urkm4AeR78YbCFUKOcnpTtQURoPYFRVBA4TWvv/66qC4nT54MIO0fPr9SqQSD5AnfInO1i8/TY1Eul0WlykXPMWD9QuC4TZw4Ed3d3QCAY489tqY9FKAGBgbkJabb7GqXS5DNo26128ZygVSd/L73vU/U6ATHh+uqublZQqh4P1/E/GuHE/E7Xhs697qII4xr7WoHNf525ZVXisDHzfmb3/wmAIjZZvv27TJmfHlxjvJ7thvICrR5Xq551Lqu9cWyKDycdNJJAKpzi8+kEyXryL8vv/yy/Mbn2El52B/a1FFEkAt952qz3lM4J/r6+mT/5P7Hv1xzCxculDlFp9TVq1cDSPfh/fv3Z0x+ecL18iKqmiMiIiIiIkYQo5LxuliS6xqfGz3VcS0tLbj00ksBVNW0vM9GqVQSSdZmRfoan3rSZnF5HKx87M+WEukERWcHqslfeOEFkcjnz58PIJW2bQnUFQAPAI8//jiAKpsg46U0qBlQkiQZpqsdEGzkCVPRv4WcWyiRHn/88QCqTiCUTo866qiauvPze9/7Xqxbtw4A8NprrwGoSut2Gyi12mWGQhDyqJd0/9ihNWSkVO1RpVoE5513nuSEZejH/fffX/PXDkEabtiMr19cTlbMEX7RRRcBqI6Tvmbr1q0AgIcffhgA8NhjjwmzoJrzzDPPBJA6AAJpX5FtUZuRh+2F5hjXns1gWG9qv4455hgAwPXXXw+gqnXSqvyTTz4ZALBt2zYA1XVla2gAiKaC7Linp0e0H1xfLNO1vvKMhc88Y1/Dsg499FAA6d6SJAkeeeQRAFWVMpDuKVQvP/roo7LvcEyoedm4caMkQ8lbd1879HdFnPy45y9ZskS0m9xDuH+yznPmzJG9g46ANAGtWrUKAHDbbbdlUuQeDKZLRMYbERERERExghiVjNd2lQ+lG9QSqMvGsGjRIgB+KblSqeCVV16puV+HHjU1NWXsMHkcBlyol4C8p6dHyl25ciWAVAJ97rnn8OKLLwJIHa7oJEbJ+uyzz8Y555wDIHXoYV3JjrZt24ZTTjkFQCoNuhxYdMq/PG3O4zjlShpih3cBqZMNbVG9vb147rnnaup43HHH1fTFUUcdJRIs27p27dqaMltaWuT+PBKsL0THxTjs05/YFrKBW265BQBwwQUXAEhtS/aztN3Wth3TPqUlfI5fe3u72EXzhD0Usb+FWAnte2z7nj17hElyTtIxjNqHHTt2ZMI5dLjK/v37xR7JPuRvIRtvKHxHX8M6t7S0iMaI/XziiScCSOeWK7yE1/LeMWPGZOpIx0Y6PT700EMyx9l3tEm6bPKNsD/X/Ob/DPFiu9ra2mT/o2aC9WG/T5gwQZ5JmzXHpqenJ2OnL8IMGwlFct1Pjcu5554rbJ426meffbamzu3t7bJ+OBasO+fuqlWrZL+hhoKal2jjjYiIiIiI+CPDqGS85XLZa7ew4QufoLQ5fvx48bbUoNfhD37wA7GfkVnyfvuvz1OvCPN1JTnQ7bRDoMiKbA9S2nbpOUq7ED2f77rrLpH4aKfi8/793/8dAPClL31JpG2fzdn25CZztlNW+tqfR3LV4zR27FipI9s1a9YsAMAzzzwDoGr7I4N64403AKQSLaX4cePGiQ2KbNg+i5Zt0CkIXfCd4+xiPvqzzeiZho/MXXvm7t+/X+zR//AP/1DT9ve85z0AqvY42tvIDH/2s58BSFlgT09PJoTKpVXRmhtfKJQPvF57GlOzsHTpUpm3HC/eQ7vn9OnT5b5NmzYByNrHW1paxKarvX9D4Tuu+ViPNY4ZMwZnnXUWgHS8XGVrjQRDUNgXs2bNErZI5sS60sb/+uuvS/gbr3H5H9SDq136b7lclrV73XXXAUiZIcdi//79okXjenrhhRcA1HqWUwNFmz5DqTo7O73HN+Zth26P7xqX9oJslHvdrFmzZG9nu+g3QC3LpEmTZK/XfkFkxfPmzZO1pg8xaaSdGqPyxWs3KOSarlUqXCTcvK+44gqvMwuvXbt2raicOKlc7vi+Otrq6HoOYfY1oTygvo1iwoQJ8vKjmosbBut+5JFHykags7IcfvjhAKqLjYufqllX3alCc4VCFIHv5U7MmTNHJjzj6vSk3717d+aUGy4sbgrlclkWIvvgtNNOA1B16AGqLzx92o0LepFpIc+GVu3ymtmzZ4vj18UXXwwgHSc+b/z48bIJ0JGM99gvNTrgcBNhO/mCsOurVY6udmlBwt7UfCpme9y04x1Vl1OmTJF5wzGl4xRfzuVyOSOAhkwwrAefy/XqusZVVz3fdPamK664QsaHv33jG98AkDpOzZgxQ/qeLyaOCTPFnXzyySLwcQzZ3/z+17/+tQhRXI/6xDEX8uQW0CGBg4ODYtpgpjuqVm3hl3OSanGOLeu3b98+edFSLc0X96RJk0QQ0XOqiLOp/t93rR3uCKT9S7XwwMAAVqxYUVNXOs+y7T09PbJ/+hxqjz32WNkzqGLWgm2e9vkQVc0REREREREjiFHJeO3wnTxnVGomRJZ04YUXZpgLn7t8+XIAVemZ6iF9Co9LtUWpVKvzKpVK3TrbUnmoXVpyZLs6OztFjfyRj3wEQBoWQIwfP17YkE91dcopp0hWIM0UbBU4VU15EhfkccTRubBpBjjmmGNE3coxoJqSku2ECRPkfn5HNkLmu2DBgpoctEDaz5R2+/v7czkfaYSSh/A52kGju7tbMqW5nHR4L+tGds6wG6rMpk2bJuyR4SCU5lkm2YpdnzwJQlwOOKHPWntBjQlVmsYYma/sB2qdeE9vb6+sKZ/Ke8KECTIHuOZ0XvFQu3xtANL5Qyb+nve8R+pKZke2R5PMzp07M7nPyfQ4Fnv27BGnLG3OYHtnzpwpfaWddfLMx9B4sUz2/xFHHCFzimXqc2hfeeUVcari/ZyPdigey+IYcE8YGBgQTQS1cXlOBvO1AQjvJVpTSK0DNWWbN2+W/7X5in2wbdu2jJMin8cxXbdunTPjWt521UNkvBERERERESOIUcl4gawkHGJS+oxTVz5bXksp+sc//rH8xjR+ZMqUsCnB2RIf7TOUGO3cxvVSpeUNx9F2LzshA5mcDi+hlLlnzx5hRRp83vLly/G2t70NQOogoqVulz0vxHh1e1zhNvqkKDpEnHDCCdiwYYPUH0gdjGjPK5fLMh7UUOjwhRdffDGTnpBgf7W2topNLs/cctlCfddojcmFF16YGSeC9Xzttdfwne98B0DKDGlLpOQ+ODgo4V98DtkwGdn48eMzbc6TnCBPeJxrTvB/1pVOUl1dXeJcxfny1FNPAahNNOLrVzLPAwcOyG/6XN6iLMkH1rNUKsn93B/uuusuAKkWYt26dZKchfsDfQvs0CHuD7TxEmz7pk2bJMHDk08+WdOuEPIkPOGcYhjQ/PnzRdNCkLFy3d99991yPes4d+7cms9dXV01IXJAule2t7fL/1yX+rS3orZQn73eDjPlX5bF9thOoVwPtPlyL3nxxRclzJRrlmtv48aNAKohSGS/ZMrat2A4zDcy3oiIiIiIiBHEqGe8+rMtfeukD5RQbrrpJgApI3I951//9V8B1IaXUNKj1E32tW7dOvEepacbWZNt+6vnDW2MPxF9iFXYXpi0IdHmR1CqPOyww4LlA8A555yDNWvWOOscYhNkqnng8r5kv/JM4SuvvBJAVVKmXZMStU5GAWTPAiUbYSq43bt3CwNbuHAhAOCDH/wgAOCBBx4AAPzXf/2Xc1744Atdsdul7bacT4sXL5Y2U/omOyJjffnll2Vu0TNTa3LsJAeEfWoO4PaIdXkI5/HY98Fusz6diHb2vXv3Srlkjwzpsue47Xnrqk9LS4vMAe2rEKq77/xu+z56kWuPfvt/tssOR9N2WyYv4fft7e3e08PIBhcsWCChYJrpDic8xQbnxMKFC4XVU2vAlIh33303gKpWxU43C6RjQi3L5s2bZf5x3tpnSPN6skdfeJML9m8+pmvvJTrJkV4rxpiMxzM/s+1XXXWV/MboCY4z59zYsWPlPq3JOhjjFBlvRERERETECGLUMl7CZ5MCsjZH2lzsdHRaAqbdd/HixQCqEhx/o7RKaYjB9JMmTRIbJG04lPwoGbuS72u4pDuXdKh/Yxv2798vrIixaYcddhiA1NYRCkS3vaSZEJ3MkBKxbS9qhB252qW/o32F8YPNzc0SZ8hkJm+++SaANLZ13LhxGYZADQf7ZMKECRLXzOT7LJt2qB07dmR+c7VPawBc7dLX6LjpBx54QOrI/qYWhcx+3bp1co0+qtG28XN8WQbZpI28STBsFEnZ55q/Og7ywIEDsi5pO+TaIcN0xaDyeVxPfX19mbSSeeroGi99H8ugJ31PT4/0HTVBWuNi2xf1uuDaoebCBbbh2WefFW0ZNWxFENKMcd4wZvjMM8+U62kD/ed//ueaOk+cOFHmFu/nvkf/hCOPPFLWDO2l9DUZO3asjBPnpD4ruihD9M0N13N0uuByuSz1pzezPiDiuOOOk/2AaXm5r7Ndtj23yBrJi1H74vWFNthOGdrdm44mNJTbmxNVIzqBwLRp0zJu+IQdmsINUx8gby/CeufVhpxd6n0HVCc0X0jM3sRJZodU1XPWuOqqqySEgM9zOUBooaWIk4TdBj6H4UN82fPlA6ThG+9+97sBZDeBvXv3Sl9zw+R4Uwi65JJLas4uBtJFxxyzdvKGEOrlaLad4AiWyY3omWeekbAtX9iMnR1IOw/xmra2Npm/nIdsVyhLVcj5IxQ65DM7uK5hvahK7ezslE2L48txZ51dz7ETOrA9OhGML4NQvXbpjZN9zhfwk08+KU41NPPl2/EAACAASURBVEnoBCF2iKMGzT6TJ0/OkAHew+f39PR4E7g0Ol4aNEfNnDlT5gXV22yPfd41v+MLk/3CtbR48WIZi2uvvRZAum986UtfypxhPJx21buec4EOT9wDiJNPPlmEeL4HdE7t5uZmfPe73wWQrhvOX3se+sK8oqo5IiIiIiLijwyjkvG61JMuNQ8lNUrYdAagSqu7u7smH7ANMte77rpLzuyl6lOjUqkIwyTjsFU1QFVKbCSkQcNWw2mJa+LEiRLgTxUJpTmG39ihGj7JrFKp4P3vfz8A4Itf/CKAbNo6W8IPBfiHQk74HFsNaf+176HESZUWGSqD+Ds7O/HSSy/V1JXjTqbI322QJf3mN78BUHXIyhNO5PvNpX7X/cN52dfXJ/+zzTqRwZgxY8R5QzNmXjN9+nQxo5CN2AlBeK/r1Ccf8qjPXGOr26jX4Jo1a2Qdss1cjxzLUJl2Dmidy1iHKYXqbEOPIdcuQ4YefPBB+U2HEpLNDgwMZMaZ/c2ENYsXL844nbGuDF/cunWrMEnuQUUYlMtpUYdKMqXl5ZdfLvOE4V5MOsPc0f39/TLv7JOu7L4YN26clMV1yf101qxZmfAqaqBC+6AOgQqZe2wnU/avfZYyUKshY924rnSIYrlclhOLuJ/SzGiHQvkc/0L7YV5ExhsRERERETGCGJWMN49NIEkSkYSPOOIIAMBHP/pRAKm+fvz48WI018nkH330UQBV2wsZkI/xrlmzBt/61rcApJKsZie2I5fPBmVfoxGS+HjP5MmTJTCf9Xj88ccBpEyRwfkhzJkzR07C0QzGTt6h2+FqV72wr0qlkmG6tA/RQcwunxoEJhegY87GjRuFDel0kmRCxx9/fEaSZggBpd/du3fXZekuuKReLZGzPq5TnFh3/sa+HBgYEAmdkjk/8++iRYskBIbhD5ol2yd6+ersanMonMMFHU6kGctJJ50k649tpX3TlYSE4861x3ZVKhXRVugUlI0yDV13fu7t7ZUydOgb2bG9bjXjoV/C0qVLpf7UkP3qV78CkM5nO+GEnoeNOMfZz2G/02lrYGBA+pdaPTI8e9zYH3p9kpnbc4R1JFsfP368rFk7bandrjxaCFd7CNZ1cHBQNHwsk+3j/r527Vph9+xntoOOmps3b67x8QHSfdzlw1HPWbURRMYbERERERExghiVjBeoH5JTLpfFfnH11VcDSHX4NjOj1E1JlHaIJUuWAADOPvts+U6D0u4PfvCDzIEJdj2AqlSuv9NwneWah93b5/GSnTM8gGyPR64tXLgw46GnsXr1akn4TgbtOp5NsyJXkgbfubV2m/lsStK8hv3b2toqtk/ahx555BEAkGPNFixYIGNJ1kfXf7KlBQsWZMbAdbayZk6NMChXmApBpmr3IevOz3YoFVm9tl0yMciCBQskNId/XUlAtMd+PS97V5tCsFm+ToRve9JrTQ21MfRGt6GZpm2n1jbregzE/s3F0lxzE6j2m8+D355PmnnzKEEmcmlraxPfC6aXJNOlR21vb6+sIx1FMZxj5oB0/pDpdXd3i0327LPPBpAmzmC9jjnmmMxBIrTxusKdOKdoIz388MOFbXJv0usrNA9dYYc+rUxbW5vUjedb02bNfaOjo0OYN7VEZLyMnDj++ONF23brrbcCSNm+HRbqY+yuuVoUkfFGRERERESMIEYt4/XFgtlHw1HCI2tz2YCow9cJ+smOfUfnAann8FNPPSU2BT5b2ztt6aeIp6hun+t+1nnbtm1iOyLboxRHBh9K60j7zooVK4Rh2qnWNLTUX9RWw9/Zx+xDSta25yefQ8mcf8kMDxw4UHOwAAA88cQTAFIJfdKkSTInaC9dvXq13M/65PHWJkLjpZPAk+nynv3792f6jtdceOGFAIB7771X5iht1/xLtj9t2jSxVWtWbI9JnuPYfB6aRcGyqF2x2SDXBhkHf3PFxLI/dNIQ+z4yRB1bG4LdLs1cWHdqDYwxmaMvdV+OHTtWfrv88ssBAJdddlnNc5966incdtttANLDI9g/RFNTk7RVM6ZQTKtrHurrXdodrgP2IVk6Pc9tVst6Me7a5dPBRDCMErAPxdBxwEUQajv/trW1yb5Nhktvemot9+7dK3vGueeeW/OXY/H6669L0h0dD58nrng43szEqH3x+jYIdlB/f78slptvvhkA8LnPfQ5AmnRhcHBQ1B/cBKgW4ctg8uTJ8iJgGffccw8A4J/+6Z8AVAeOG7jebDk5BwcHM0kAXAgtJH7vC0+xkz/w5UNVkq3moSDCDV3nnX3mmWdw6qmnAkidl3T9SqWS0+GqHnyhUEAarvD5z38eQLqBzZkzR9RBfIlSsLDLpjqd6laqu7hB9/X1SegKnc7uvfdeAOmimzRpUuaUkTxwOcLo4Ht9frIxRuYb27V06VIAkAxb5XJZkhvQSZAnR7EtGzduzJyMo00edt18nw8mWC6FBL7Eurq6ZL6x7Tq7la2Ct0/Vsj9XKhXnyxgo3i69l+ic3y0tLZkwIKoruYlffPHFMh7MFse2M+nGV7/6VSmDY0knJPbP4OBgJsd8nrC2PO3jfnj//fcDqL5IqZJluAz3BgrqtrBKtS0dmOz60EHuF7/4BYD0zOgjjzxSzHgU5rWjUqMqWT1Huru7pY46c5vtpEcBn3sjVe/cf1asWJE5W5nvA1dd85Clooiq5oiIiIiIiBHEqGS8lUolk1bNJf2SxVKSIRMi0zPGiBMSmQ/VrZTqTjrpJHnO+vXrAQD/+Z//WXPNs88+6z31xHU6UcjNvF74jesawk6TSemWdebZtvv378+cnESJlOx20qRJ4qDEurqC1Ql9Ioir/rp/7HbpMCs+j6EWF110USatJJkHx3TLli2Sx5nqdrISlrVly5aM1oGMhfWyTxoZTuq3SqUiLEbnnmYZU6dOle/IPKgqY9nXXHONnAfN8eHpTRzjBx98UDQu1OYQIXV5kXloP8PXL3YZmnGTVcydO1dUjryGbN0+UYtts3OM6+dyDLXTWChlpEtT5nOqIstpb28XVaVOyvL2t78dQJUhkkkx3SqTYlC7Yp+DzfmrneCMMV4GmMdEFQIduNi3L7zwgiTKYD3Yd2xLU1OTrGtqmbRqv7u7G3fccQeAlE2TOU+cOFHayvSNRU5dyhPOZj+PKmYyeGohaIrZs2ePtJV7GBPrPPPMMwCq4aHUcmrzhV2feg6+w0FkvBERERERESOIUcl47TSD2pZK6axUKmXOS6QkSlbx5ptv4nvf+578b99PSfuBBx4QWwClH0p+tCMMDAx4je+2HULbf0PQ7MIVoB9iJdopgIlCmpqahGHQ9khbGyW/JEmc4RK6TJZFZpDHdq1hh93ofuHn++67Tw4TIHOnjYzs/fnnnxeJmmOomdDg4KBIu/XGa7golUrSL2R7tOcxSf2JJ54otmvfGcDGGLGNkUWwn2nHf+WVV0Qr4xsvVxL/IjYoO1TI9ZvvO7Ijaipmzpwpz6EmKuTw50uWkCRJZnyL+BrYz/fZ6MgMm5ubhQHRWdEOUeO1tC8uX74cAGTOkuG3trZmDoJwacpCzoqhdujnaI2GXtNdXV24/fbbAaT2Ts5Z2ninTZsmbScjJHOm49XLL78s2hhqATk2dh10W7UtO28bNVyOq9R2bd68WdoKVDUW3Ntph+a+wcQaEyZMcPpIaISSzQwXkfFGRERERESMIEYl47WlQi1FUUptamoSqYcSJ5OdM0n42rVrhQlqqYuS34EDByR5OyU/fTZtU1NT3VANO6l2iP35WImL5Ya8HHWSfNpCbdbHdtEOTM2ALaXqdtl/dThHHukw9L2+xrbjsx5k5fxre0j6mBPr1dzcXNdTNI8t3Xe9/p72QM43akp4puuhhx5akxbT9xyOHZMa0I7FkI2+vr7MnAx5jzcSzmZ/l+ca3c8MU+FRbEC6Lu1zhYHqnNNsVj/f/r4RTVKoXayPfTgAfT/4l17/ZElPPPGEMEJ6YGtbpj4ez9eeRrxhXQdg+JLX2HOEdeXaZx25N4wdOzaT6lE/b9++fZlDVKil6enpyZybrMOlQu0tEspn+7jQR0XvUUA6vmTpvJ9M3r7GV2bRuhZFZLwREREREREjiFHJeENSh23noURFL1cyEJvNUhKibYIeePx+YGBApDlKhdo+40qH5wrKr+cVGkqykdfLVB/HxnZQMi+VSvIdr6Ht0fYG1V7imlXYEnURSc/XP67f7H7WddbMrqmpKZjsQ5fhK9NGnnaFEk7oI+TIVCmNb9myRfwEWHd6MNPufuONNwrjIMvib/x+YGBAbLw6OYHrWLWQp3OeNudhvvyNLIJewUmSiM2bh42Tldis3Y7ptWHPQ+2h3ojXr8t2zc92X3LvoPaBiSJsD23d9/zN9n3waSRCfZkHPpuxq10uds320f7JOvf392cYK8vgOE6YMEHuJ9PlWPb392f8cIab+lLX3R4/nSTEtZfU0wQUKVv/3+jzNEblizcEe3JwguisUnb4C6/hS1WrsFtbW71hCrbTTp5B1IujCFzP1c8xxmScGnQu6v7+/oxTg52hB6j2jz51xSVI+HLl1qu3D7oPXQtUqyDte+o5Odiq/DwbX566h65hXenExo3YPseUyRWowmSoGkNrkiSR+csEIXxR0ZzQ1tYm4+xzFnOZMYpuDPWud5VBgYCCbXd3t6hk6fjCzV7nZQb842OXVWQ9hUw2un32emf2JX2Pfa9WLRfJ+uZqV736hX4raibRc9W1t+m1x5esMUb2EI6lvQ/p8cmzrvL0i+se3qfNTva+5VJR+5BH1Z3n2qKIquaIiIiIiIgRxKhkvC7HipCqxeeI5XLScqlP60nUedkcJeKQc5XvmXmZmJbEyYrsc0x1KJZLWtbsXqucbZWNlvR9bfLVOeT8YX9v/5/nJBrX/fXuczGpRlTpNuzTo4Da5ARkGAxnY5iKrcLUCQsIWzMwHHV/vfrr8vKMqU8tuWfPHgmz0ecmu1SRvnVgs5simgmNvCwypEng7/q+RjRA9p5URH2cB3nMO/W+B7LM10aeuobWt66r6/48CGm9fGWF9ibX9777Gtk3NCLjjYiIiIiIGEGMSsZrS7u+Ezxc0qrPUage6p0pa/+WR4orYtsIIQ/b005JdkiNr/15tQVEnvM0iVCfh2xbvt9cn0PP8Z2o9PsYL20bI4ulPeyNN94Q2y5BVktbWalUcmot7DLtPvWlSwz1j+u6Ij4LNvR1bCtD+bZt2yaJP3zr8fe5vlx1D7FP3zV55nHIf6AIOz9Y89D3fN93+l7b7guEww6pxbDXXL01HCo/1K48v+XRtLn2m0b6vMg89CEy3oiIiIiIiBGEOZieWg1Xwpg/fCUiIiIiIiKGgSRJctHgyHgjIiIiIiJGEPHFGxERERERMYIYlc5Vl112WV339zxu43mCsl3I4wCVx6GC580S73znOzN5a4uWr3/ToRrlcjmTYUefT1mvDH7vc3jhubhAdayKwhdW5PotFGbFNtuOSr6QrlD4WCPtsvunkWtCjmWuU2dcWdT0NTqrGa+156FuV6geLqcd35wo4jTocm5xlV3PIcjVriKhQq52+co6WO0KlUGExsvGcMYr9LyiDkd5QpbstQVkx6teufXKslGvHaH9xvWckOOpbldeRMYbERERERExghiVjDeEPNJYKIBchynZpwpRsnE9h/CFEriucX2fRxrTkhYZTFNTU6b+OvVjb2+vMB0yX+auDrEAjUbSXuZFqH9DTIrtYj5dprQLhQkUkeIbaUMj32n40nbqeQAgEypmhxfxvnqJXHyoV1fXnND35GGqvvuA4mFAvjLsvqx3NnNeplVvLrmY88EKH9TXGOM/Z5hwndHs6h9fu/Kui0a0isPVDNRj2a7v8oRiEXbqSb3HhhKM5EVkvBERERERESOIUct4tTTqSthfVEIEsskg7CThw7Ex5LH52bY6Xb9QWZSw7OfrdvDczXHjxmUYj7YD9/b2Dss+GUIRG1DoGj3udtpEpmEk4+WBA1u3bs30WZGzQYuiSP/47Nq2FkRrXOx7tfTNz/aZxiFbVJ42hGzvuh557/GhEfaYp10hG2+eskIMqh6THy57zOPTEUqZG6qbLsPeh3S/2mljgepek6c9vvWdh2nmYech2GX5+iPUZl+97PuK7N31EBlvRERERETECGLUMl7CJ0G6pNSQBEKmQJZEO+HYsWNzpYwkfBJk3nrUe67LE9HF+lnG9OnTAQDnnHMOAOCOO+7AEUccAQB46aWXAKSSGpPWu1ixC414ObqeV6Q/eC0ZK+3TfX190ta3vOUtAIBTTjkFAPC9730PQNW7WR8VyTYzLaNtGysiUYfq2si1dh00G6c2g23v7++X8WI76MnNz6VSSdqaJzWja7xCc1t/l2cd6M8uthZiOUX6t1FG6fstD/MNJcs/WJqVevWyUWRs7T3PN6ZMR9vU1NSQTTYPQs/zab8Avw+Kyw7sSv/J9UT/Hq0Zs/93RRkMF5HxRkREREREjCBGLeOtZ99x6et5D38bGBgQqW3OnDkAgNNPPx1AejD5unXr5Bp6ATci1eW1idaziZVKpUz5lLC6u7vltyVLlgAArr32WgDAySefDAC4+uqrsXv3bgDAqlWrAAAvvvgiAOC5554DUGVUNpty1c9Vt1B7fPeEbHWu77Qtnixu4cKF+LM/+zMAwNy5cwGkh5cffvjhAIDHHnsMO3bsAJBKskzYv3fvXgBVppgnlroI8kjtBMfS9qTnGNBWzd/4t6mpSRi8/R3bA1QPotcSuj5m0C7fNf9ca0u3od7acMWKa7hYVsg3IFRnX7tc9W/ERsfnlsvljCd5Ubu2LjOPfTykdSqikdJznm0YGBjIeMprn5CxY8di//79AFKfAntu+Vh5qF6uttfbS2xtFcF9jHUdHBzMtEf7w+zfv1/awRwHbLPtQ6Hj4UMMvChG/Yu3EXWn7WBz4oknAgBuuOEGAOkLmOejfv/738fTTz8NIN348jhOhdzWQ/AtfrvunEw8rYZq8WuuuQbvete7atrBCURMnTpVznydOnUqgFQN/corrwAAfv7zn2PTpk3BehZ1rMrzcg3dy37p6ekBkPbTBRdcAAD42Mc+Jk5Vug+PPfZYANU+eeONNwCkghVfxDwjduPGjZk6NjKWeQQte6PgIqUT3Lx58+QaChDcPI455hgAwPr16wFUx//QQw8FkJ7ny3ZRsOjo6JANghtGnnY14kAHZE8c4t+JEydmVLBscx6HHPu5edY+UcQhLHQ/wRcLN+azzz5b+pp939XVBSB19rPbUy+EKS+Gu+/YeyGQvqjYrpNOOknmC81wfMlOmzYNQPXkKQrA2rmvXvn16uwysfn2DvsatoemFgqvAwMDmWQzvJbtWrp0qQisJFscW3se85n863sBN4Koao6IiIiIiBhBjFrGq2m8ViMDflWNrcajannmzJkAgH379gEANmzYAKB6ZqpWU2lVRZIkXmekkJOMC/WYYLlcFmmMz6Ya+frrrxfGE0pwwfupXuU5sZRgJ06cmFEd5VFp5UERCd/+jX1H6XLBggUAgEsvvVTqSWlbp03keG3evBlbt26teQ7ZCfvCLjePSSE03vqaUFspmV944YUAgD/5kz8BUGUZHAuCamUyxY6ODmFVZMrU2HzrW98CAKxYsQKHHXYYgNr0oRqhNvucSFxt9jmeXHDBBaKB4Lz7wQ9+AKCWnfNZbDsZPZlYV1eX1FFrdfKEp7jGxKcZK5fLMreo9Tr66KMBAG9/+9sBAIsXLxaG+/Of/xwAcN9999W0c9euXTUqT7s9dluKMKg8zouhvtD3cf+gY+JFF10kTJdsmPOGmrbnn39exo5aOGpp7FCjkNbBV0d7n/c9R5vcAGDGjBkA0vnDv7bKmn+5dhYtWgQA+Ou//msZp2eeeQYAcNttt9U8d8qUKVi7di0A4PXXXweQrsuDoWqOjDciIiIiImIEMWoZr4aWelwB1/yNEmh/f79IsGQ+K1asAJBKrZMmTRKplFIcWZNtIwjZHRqBj02MHz8ekydPBpDaN6+44goAqURql8vnbNu2DQDw7LPPCqvfuXMnAOC8884DAHG6GhwcFFas3ejzOEQU+S1ku7ElfUrZZOVLly4FAOmLxx57TKRtto/333///QCqjli02YwfPx5AyhptJ7IiKd+0FsRmeL4QDcJ2nKID2Gc+8xkAKQNOksTLHhk+dfTRR2fKIkt55zvfCaA6tuwfsmGW4YK20bIurnbZc00n+aAmic5+1113naw/4rjjjgMAPPnkkwCAn/zkJ2KDX7ZsGYC0fx555BEAwMqVK70apEbDnELfUZNw2mmnAQDOPfdcAGnoWqlUwpQpUwAA733vewFU2SKQzo0HHnhAQvj4PIJrcWBgQPwYuAbzrL1Q3X2s2PadIDheF198MYCqX4QvVS7H8dhjj8X27dtr6lzksJdQO1zsUdvJWVZLS4vMF+7Zjz76aM21tl8F935qDP/yL/8SQLp2gHRvpF8F94+XX35Z1hP3kIPljAlExhsRERERETGiGJWM12azPq9HO8BeS4yU1BYtWoT58+cDSG26tOXQpjQwMCB2D95HtmSHbmg245LY6kmspVLJK91Sgmtvbxcpmx7Z2sYFpAyXXro//OEPAVTZIMug1P3b3/4WQOr9u2jRooytmyzQVb9GEhnkkczt5/M3Spn0Tv7JT34CAFi+fHlNmBiQ2mNY5927d+OII46ouZ9aApbZ3NycKxmAL5QlT5tdtlAyOkrvtEm98sorWL16NQDg/PPPB5AyXWojQvZ82yb+xBNPAEgl/SI2wzzX2poJfkeGcOqppwJAhu0CKfOmje3www+X+ca28RraFVetWiU2NfZVnnnoGlvf2HFs2tracNRRRwGoevna9eE66erqEk0Cme+sWbNqyjrppJOk/Yw6YGQBy9q5c6ewtM2bN2fq6qujz37qgn0Nx4tMld7JtseuHgs9988991xZVwxJZJRAc3NzRhuk51YerYNdZ/0c1mPu3LnSr9Te6ec0NzfLfsm2PvbYYwCqtl0NlkUWzPHu6OiQvZVjynkYSpySF5HxRkREREREjCBGJeMN2b0IVzA171m4cCEASMIFIJUudQICY4xI2X/7t38LIPX8e/zxxwEAP/rRj2rqxvv053rerfb32vuREujcuXMl7taO9dRtZBwuD82mzWxwcFAks46ODgDAVVddBSCV5js7O/HTn/60pm6uujcSRxmCT0K0bVGUVmkP5HMPPfTQjLc5bYeUUidNmiRsWHuT2p7QjcSyFrmGZR44cEBs1rpdd9xxBwBg7dq1wlBpq+b406P7kEMOyXif007IcX/ooYdEW8B6uGy8Pi2RCy6tDuvBvxwTapZc0LZ5shYbXINkg8YYud53bGKoroRrXeoIid27d4vXO9ksY6h/85vfAKh6ZFMT8Y53vAMAMHv2bADAli1bAABr1qzJzFFqzzjGAwMDmXGy6+prV+ga329Jksg+c+SRRwJIfSioEerr6xPfFu4btEfz2qOOOkq0D7/73e9q6mXb/X3s3FVnfa0rcRA/U2s1bdo0YbFk3Pxs+2JwDLi3XnLJJTXPsUGNDdtF7dOmTZtkjem4+FCcfF6M2hev77vQ5OSioav8mDFjZEGzs7gxU3WyevVqceDhfdykX331VQBVxyyqNTVC4SUatuu9zqrChdna2iqTXIfNAOlkYt2ocuG1vb29GfUJQ1joWLFt2zZxNrOdfHxtawQh1WUIPkeaSqWS6Y8rr7wSQLphfOELX8jkNM5TR1dYgC+cLVRn/uUYHXvsseLEwudRVcdrDjnkkEzYDzcDqrr27t2bEcIoqHHj6erqkjlE1ZirXb6XkEslq4VeY4wIpexnqmhdKmauveXLlwNIHeZmzpyZ2cR4LdtQqVQymZS0s40LrpePb+w4Bu3t7Vi8eHFNGXzhUhiaPn26hKWw7ynMc9O2k5hQ8OOeZIccMTyF14RMCXmEDh8qlYqUr+tOh6GBgQHZQ5599lkAqRnrwx/+MICqkMX6M6SKY9Pa2updKyFVs26zbV7Uv3G8d+zYIUIB14jOuXzgwAFRq9P88aEPfQhA7dnVBNXQ3/nOdwCkZp6enh5ph3bGdDkmFkVUNUdERERERIwgRi3jrReCAmQN41TrPPzwwwCqqlqyWarC+Nzbb78dQDX84ZprrgGQZZi8Z9++fSIJFXHwyANKvXTUOOOMM4Rda1bwyiuviCqOqmbtEDFlyhRxkaczC5kuJbS+vr5M8P5wGW9IjZznGm1a0GFOY8eOFQel97///QBS9RlDxCZNmuR1/R9uKECe+6l+Jds+66yzROqmepGqLJoBWlpapF1sMxkRQziWLVsmEj2ZCzU3nJcLFy4UhqzDVGyEzuwNhXjwXqpk6Zz4gQ98AEAtm6AG4u67765pq8tZjNc++OCDAFIW6apHo+YMH1tkXx566KFSN9aDDNzWNHAdkf0xqQTXojFp+k+ua6qjec+sWbOEhVKVGWJOvjbnmY/Nzc0y7ziXWD8yxylTpkgud+4zvMZO5EMtHBOLcI729/cHGXtehPqAc2vXrl1yHeum53NbW5uM00033QTArf3iPKZTKttjO5lqNq3rGBlvRERERETEHwlGJeO1EXK1p4RG6Y0SJO0YSZKIVEvphU4FvLarq0ukUw1Kv5deeqmkDyOKhC247iNoq7DtPazjvffeCyC1ey1fvlzKoMTH0CMykHnz5gnL4ik+lOL43F/84hdyPfsuT52LJJyw73HZE+vdR0Znn5fJ9J9kunSWeP755wFUbVNkKOwfVzmNhKWE6k6wTDKGlpYWsZ+tWbMGQDUw335ec3OzhHRRO6PtaM8//7xoL+iYxHG3HZb4bM5113y006nqdvmcW1gP+yQb2nrJhGwwjSVTRd54440AUnYOpPP+qaeeApBqLcg0W1paMgnwcIGu+gAAIABJREFU84xBHrA9ZD1tbW2iSSLzoe2cY7lnzx6Zb6wz2TnrUy6Xpf46bIeMt7e3V0KMOHZ5/Ad8n+379W+VSkX2Of5GHwNqhlpbW2XesD+YPMQeL8367NOJtC20SAheCNoRsKurS+atLovXTp48WZxJOXYavb29+PjHPw4gXY/076F92w79rMd8G0FkvBERERERESOIUcl4XaFCLmncdzQUvSfnzZsn0gr/kinwHNsjjjjCa6Pg81auXJmRnhoJSQGyHntacuvu7hZJmC7zlMrGjRtXY8uwy2VatCVLlggb4TVkKbTzbNmyRVgV7ZIub9A8bRuO53MIOiRg6dKlOOusswCkLIusmExx9uzZmfOFG4UvFCKk4dBH5CVJIhoFer5qL/Tu7m7pa7IlHe7S19eHlStXAkjnNkPmeO/zzz/v9b60oZlunrbbfzlfaOvTfhF9fX0yLmSIZJM80rJcLktqxZtvvrnmfturWR9BFwpP8V1jJ9oh2E9cH3v27JH/WWfeTxY4ceJE8eAmK2JqWd7T3Nws848hRpwLnKMtLS0SUUDk8VgOrU99jf2b70AR+gM0NTXJmLJfqCXkPmKMkbFgmJVtr8+TjCVvu1zP4V87kZBm2dwzx48fL2kl9bNp7/7a174mGgk70sO+x2a13IMa3fNdiIw3IiIiIiJiBDEqGa8Nn/Rj2+ooxVNapjS3a9cu8SCkZEQpjkHVIY882kQffPBBSUYfsi/lsT1p+wc/UxrbuHGjSMSUmm1JT0uXtCuuW7dOvqeNV3ti2/Fn1BJolhZiFaE2+653eTXneTYlc/6dO3eusAYN2nzvueceYRyU2l32pjzl++xmrvmnpW962ff09ODpp58GkB5cYCd8Z/18dmQ9NkBqgyQD5rhv3LhR5naRQyDsNvjiL+360WbINUbNCddZX1+fjAfXI2OZbQ3Md7/73ZrnUBNlj1eeyAbCp30wxmQ8X3UCBGOM96B33nvMMccI86FNnp/JeCuVijybNmzaUsmcn376aWHKTFDRSPRA3jns6xc7JpprhnsJbbz23kht2apVqwCk/iN2boJG4NKs1Tue0v6f42Xb5HVMOcfkU5/6lLSFc5H36znh8k05mBi1L948i01PQnYi1XtbtmyRTZAdTRUJr3XlQSZuuOEGAMBdd93lfUEVgX0Pn8Py+ZLt6OiQzU2jXC5nXrgM1aAKs6OjQ07aYIgSr6WzWF9fX+ZMUKJRwcL3W2jcCNuRQavmTjjhBADVkBoKC+xH9hOdq8aNG5d56YTUYHmcWnwvoyRJZE6xL+3sRED1pB1usoQOk3I9W7fBGFOTgMFuM8NxJk+enCvBhC7T/uxrM9Ha2ipt5kbHF4wt3DGs79ZbbwWQOv4RthOSL++tS0Ucgi/TXahd9vizHQR/45zbs2ePJK3hy1QLr8aYzBylCpSq9d27d4tzlV1H+68Lof0wj4Ci1xfrOXbsWLnuuuuuA5CeNGX3D9vsGi9fAo08znAuk4BPuAgJXNwnzjzzTJmjrBdNdcwad9hhhwnR0aTELts3LgfjRRxVzRERERERESOIUct4fXBJUVpCopR51113yW8Mx6BkQ4Y5bdo0Z0gEkLKTm266CbfcckvNd64TOepJri71hWbQvb29GYcrmwH5pEk6CZx33nni+EKQFVFFtm/fPrmezEWzpZCqr1GEGAfLJ1uiKovhQS0tLVI31pkMnqwfSNkV1fXsO7tdRcKjdN2J5ubmzFwg8yV7Gjt2rDALjgE/2/XRanVXWIhOMcqyONfHjBkjTDukjgyNaT3m1N/fLxoktodhdraDDhmdL5xj06ZNwj7OPPNMAKkqMxTeFIJuq4uZ8RqtdUiSJON0pvv5zTfflDaH8sjbqQuBNHyHc+Kll17KzMmDBdf60n3HttMUM3PmTFF5u1TMQFWD8+Mf/xgAcPXVVwNI89iXSiVv7uI8TNc1xiGHRj23OT7/P3tvGmZXVaWPv/fWlMo8mAAJISSBkAAhEAaDAWSSMUBAUVEUUbvVRx97km67++mfn+xu2+6Wtp26FXFAbHECZFDmUSYhQAhkIEjmhAyVylCpuf4f7v9dZ9119t53n1vp6uJ59vvlVt17zj57Putd02a4HkPXgGxO0YGPJo+XXnopdyKTi9XW0uINZl9MjDchISEhIWEIMewZbxGnHYLODjoBOBku06PdcccdAICPf/zjEqJhn0WHEV4L+J2jtJToq7M+ycMnHbokLf0Mm+ibTIMM8aSTTqpy9gCysKQ33ngDQOWMUGtHjnHaqCc1XIh1aZBJ0UHI2s96e3uF6TLZAs8ZJhOZMmWKOPsQLhtOEcncgtJ9c3Nz7qxTjoUOtGfZHBOXEwfrxvvoFEfmWC6XJS0hNRX0YyDL1fMi5BRiNTUh5zfbd729veI/wLSkDC8hu50+fXrVgR8aup9pR+R4xYSVhOZojE+I9e9gOb29vU67OpBnvq766HVhw1uoeaGtX9tDY9plUdQvwTr+2fOgN27cKClYDz/8cOczOjo6pO/ILPUzQ6zRV2ffiUa6HNc1dv6yn7mHz58/X35jGBsdGxkypM/k9tmVYzRCg0mVmRhvQkJCQkLCEGJYMt4QK4mRCsk8Ojo6JJyDkhGPKKONY8SIEd6yKSH95je/wWmnnQbAbQt11d8FVxoyl/QUI9lbT0KGmVCaBzImRjsc27Bp0yaxOfmkVf18K/2HUMQup68h22MIF8thu7q6uoTlMRSFrJh24O7u7qr2A26p2eepHKqj7Yve3l4pk2yPTE97gNIbmd/pc6AJjhMZPc9NPvfccwFUbPPUCFBrYe3BmrURrtR2vvXjWnN23EeNGiWMm+PFdrHtHR0dcsiH61hBoJLeknXj/fYoQ1cojNUyhdrl0nDQ29Umjdm/f798x3Yw/EeHfVmbvmtusG72GD57jJ2rzkVSEYbGy/W/rTO9ynft2iXaMh+DGzFihKw9rk/6YugyQ5o+33cx0Qau3zj/zjjjDADZgQg6SoXpVW2qR32NZdy6PrW0rcnGm5CQkJCQ8DbBsGS8Iftt6HtK/LQbdXV1VR3tB2R2DHryzZs3zxn7B2THfs2YMSPHNEN2Ql+dS6VSjoHZe0LedABy6fgIxuxOnTpV6kYmxaTu2lZHyZ79EmpHkbg1V91jJEMdj6pB9tTV1SXsiBI64yopjZfL5ark7YDbU7ieODyOF1nTtGnTcOSRRwJALmkH7XrLly/PHdZAD3rec+DAASmTc5MJUDh3Dz30ULFTUXth7co6xrteb1KfjY7sZuzYsTKXXnnlFQCQxDKsu2ZCtp85126++eZc6sxQHK/P5mev18/UiUrYj0z5yL7ktdu3bxcGyL2D9SLD37lzp7Bgrj0+U9sd7XyzqVl1whTfHhBC0fXl0wSwfTfccIM3Mc3OnTsBVFIs0kfGN1616lELMff29/fLHs+x+MIXvgAg8xHRZd15550AsvHinGtoaPCuFY5TV1eX8yARW596MSxfvBo+taDr5Wxfirt27cJTTz0FIFNHUj3JkJv9+/fn8h7z5caN/UMf+pCcFOTbDGq9MPU9rnbpa2KcLux5lPzfdS7qwoULAWSqzI0bN4pqz754df0ORhhRKCzEpQqjKov/M9B9x44dkjWH93HD4AtQt4WbhksdGCNQ+NRd+nQfnrVKZyhew/9HjRolYRd8IVHg44b81ltvyX0M1eApTBzbjo4O2RDYLmvq0M5eRRAK5+B64ktp7NixkmGK48QTehgWpIVY65j0i1/8AkDF6YVrzHdSj2vexIRJ2bo3NDTIXKcQx72A33d2dkp97rvvPgD5UKi+vj6pI18+3Ev0muPmznliQ7xcdaxHENRlxjgL2j2Swusll1ySu5aOl5/97GcBVExuHFeG6/Ealxo4Zt8IOfn56t7T0yPP//SnPw0gW08a3Of44uVYcu7ypQ1UJxLhM4DKi9cVzqnrWu+4AUnVnJCQkJCQMKQYloy3qCThY4hjxowRtR8Zxw033ADA7zoPZBItT/y5++67c6klrROPK7g7VNciv+tyWQ8yQbJanrakpW+2Y8aMGQCykKpt27YJiyFcarwQQ61V75CzVqhdBBn8scceC6AioZNlPfLIIwCA8847D0DGYJYtW5ZjTq5zO2Pml0ujAWTsbdOmTeLoRLZHzcn8+fPlHp4NSnUXUwdy/nV2dor6+Zhjjql6JtHV1SWhERxT21+a7YaYhyu8ygcblnbqqafiAx/4AICMIXD+0XSh6845+u///u8AsgQuPT09cj/ZSYxDje9/V7t0Ll6GYnEPuPrqqwFk4YIjR46UMi+++OKqunO8dJpHtpmmDyZqeOGFF4Tx8hqbkjWkcRns+rLX6musunXm/59PWycP4vVf+tKXAGR9MHHiRPmN6ysmfDL0O+93OZXa/uHcGhgYkHnOk8pcZTOPOdcT14rWiHFfIGPm/xzTpqYm0Vr4QtUS401ISEhISHibYFgy3lg7p+s+oJq10Zb7mc98BkDGjkLJvin1vPTSSwAqSQK00d1Vr5AtM1TXmHbpayiFkXmdfPLJVe3SZZORPfTQQwAy6buzszNnD7T/uxhHPc4EseFW/I7tot2WTGPUqFHCgsmWyGToXLV161aR0n0HBrgYR0w4kU3Z2NPTIxoEalXo4MG6Nzc3i0TNcsg0XD4Ktq/4rIcfflgc/cjkXIdBFJlLLnZh7+czyM6XLFkiDInXus5zts4tt99+O4DMxqpPj/E5e+n2FNGmaHsgP7lmaVcny2ZfjhkzJqdl4FphCJ4G7+fJSrQT6hAzG9ql616kXSH4xts1pqwXbbPUymgwfJIJg+bNmyfl2TA4PU61bJ8x60v3Syh9J7V3PvT19UkbuTfyQBHOCZ1Awybc0ZpMn0YihRMlJCQkJCS8zTAsGa/Lo9Zlb7TfWals+vTpYvucO3cuAHeQOCVYHh/1k5/8BECWvKG9vV3sDDEhADESXsy1LrCNZA9LliwBUB1eRKnt5z//OYCMEVLyp4QegpZAY7wvi4R9ua6hVMt+ZmA82VZvb6+kkyTrom2NEm5TU1NNqVSHcxTpe96jj5fkvCFD4FwL3e+CZdNk9nfddReAiqctx479o72rbVvqsT25mIvVqrS2ttZkdD09PfjRj34EIJt/vJYs0h7BZ+vh+tt3DeFjJzpBDv0aHn74YQDAlVdeGV0ekPUHPblvueWWqnJ37tzpjXqICdsKoZ7wHf079wRqXBhiNTAwIFoiaijs/jAwMJAL04vRZBWdhz4brw6hpBaPESc8/Ib3bNiwQSJQqCVi3fV+xnGx3tmh8MPB2HQtEuNNSEhISEgYQgxLxhsT7+r6jZ+UrLds2YJ/+qd/AgD84Ac/AJCxJer2b7nlFjlWjoyXEhaloUMOOURiv3y254GBgUEFVOs2hbzoKHXblHaU1Hp7e+UIQ8Z8sl768Ah7WPTBsFvUQiie1zIpjiHb8Nprr0kcqD16zZXWz2fH1VJrPUxeH9rAutHGy5jdD37wgwAq7JSaFnolX3fddQCy+ffjH/9Y4pPppU2pnskyDhw4IHZj3udLx+iqs+861//6fs61n/70p9Ie+kzw+Wzz6aefDqDi2ctj2Og17IqfDD2/FoowxK6urio2BGQMlWPy0Y9+VJKfUKtCrRcPEFi5ciVuvvlmAJnHMuND9Tzis0KHYvj2rf8NWB8F7nWcux0dHXK8JtPpMmWpb64VfXYMQmPK/bi7u1v2rWXLlgHI5taLL74IALjpppskQQp9CfTBJkBl7doYc+4brEdjY2Ndxx3GYli+eF0vnxjY/J/d3d2y+O+55x4AmYr2G9/4htxDVQtfypxoHDi9YYSC1g+GKqKWYxnrxiQNVAtRSHj22WflrFOqmDlZdRmuDcH+f7A2BF+/6O/58uQYUI3LE4ieeOIJedH6nDAaGhqCuVf5fz1hUvazr69PFjK/o0DAs0snTZqE3/72twAy9eptt90GIBu/bdu2iVMWVdbc0Dn/mpubc4KfC0Wc+mz79G9aTQtkm9Kvf/1ryZDG8WK9mHiiqalJnHLs+cmhl7xLICgSxmF/49zQ5zjblyHH5KabbhInOApR3Oz/7M/+TPqCz2BYEu/XYVcUHK16s952DQa6PNaRSWe4zvbt2ycnJzEhjM41bhFyKrXXhNplT3Vz9QvvY90bGxvlPgoOq1atApBlUnvzzTeljSzPdSa37RdX/XwZDQ8Gkqo5ISEhISFhCDEsGS9QTCXmk2wGBgaENVCiJQvUEh+vseeiEvpUIftsXb+YpAQxIQAxEjBzyLryA5PBk7GEQkd8ddX1qKddIWcQV7vY52RHdJyiRLt3796ceryIY5GrPjYkpwj0nNDqZyDTqkyePFnYLJ1BbOrSgYGBXFpBW17RvowxG7ic0Gx/avMFUGHgVONRk0QtBMdG54z2PUuX7VvnLs1PzDx0we4Ldn2PHTtWnsVwFaqlddiUDU2zzpy6Lb714Fp7RVS5IQ1FaE6w7jr0Cai0k2FxVlsUYrW6Pr7xiDn5zPe//k5rKMhmn3jiCQCZsyEdqUaPHp3TesQ4psWo/5NzVUJCQkJCwtsUw5LxuqRdCy056vv0Z6lUEqZLCYm2AUpD+qQKe25j0RCNoudpFr1G14GJJWjboGPYqlWrxGHAMkNdTyttu/o7RpI+WO0ie6D2gUHvtDe1tLTkxiVGOo1pVwxcz7Q2KM417dxHTQQZIecYHXQaGhrkO53gBKhOAmLPEg21och4hVKE8lnUqgwMDIhNl/ZN7djGa3zj5PJVCI3BYGyhobnB8dLpEul0ZPcClw3SlqmvtdfE2Alj2lVkzobmOjUVPDxmw4YNubO87QEGLsZbZAxCbJafob2Te8O4ceNkjdDxiz4geu9m/X1+LK46xrBiXxvqQWK8CQkJCQkJQ4jS/6Yre3QlSqX/+0okJCQkJCQMAgMDA1E0ODHehISEhISEIUR68SYkJCQkJAwhhqVz1ZIlS2o6KhU1bPsM7H19feKSTtDxxToeadj6aSctXs9cu8Sll14aTMBhvy/iGBSTuSgUqhGqh8Xdd98tf1922WUAwqcb+Zy89LPtecCu/vGFOwzWzZ/1YJIVoDJW+rcYk0zIiaQexNzrSgxix1CPl20XoeeEDZPSSQZiQlh8DnsuR64iTkP22ph2hcJdQqE5gw2Piwlr87Xd1a4QfHUfrEOhvrfe+/hM3SbAP14uhEItXaFmtdo6MDCQCyWkkyCdt/SpVvyOz9AnGN1777016+9CYrwJCQkJCQlDiGHJeIsGL/uk71DgN9Hc3Cyu6QwudwXK22BuGw6hpagQWw8Fote6J0aCLRqs7uu7UMIS13eh+vsSBOhn1Uom4OrfUOKBWgHy9vlFoXO52vJC34Uk/FA9ajFEl/YgJkRCJ5vh/Gc4musEopiwEsu8XQlPQokzQmXXQpFyQgkviBi2FeqDmDlRLxstohEJ3RPTrtA8Hiybtvf6tF+uREYx7eM81vPazlGuA5bf3d2dqwehc97Xi8R4ExISEhIShhDDkvHWI8lpaOnJx+R00LtOEADk0+F1d3eLdGPTFhJaiopJpBGy1frsiiGblOsa37NcjMPFoIokOahHIta2QNpRCPYhx6C1tTWXWIKfZGodHR25tJ/WlhPbLtseK/1qtuuzrcWMl62bqxzffbo+oXnjape1bekkHSH/gxgbWy1W4qpjEbYfg5h1EEJIA2NP0nJpbqw2JFTHIkzRZdN3rW/9vUYMm3UhpBGrVY9Y+31M/XXiI32tTqDBvcSOAa9paWnJ7SG053KfHzt2LNra2gBkNl76ArFeifEmJCQkJCS8TTAsGa9GDKMqcr+2FwDAmDFjcMIJJwDI2CzPRyUbOPLII+UosIceeqjqN0o9LruBRQwrqcUua/WDywPRSughaZmITdxey5Ya8ojUzIh1Yz9bz9j29nZJJ2lZBQ9UaG1tFfZL8MAInWrRtt2lofDZQmNs4CGm6vPMDj3b9539vR57sm4Xr/cdHhHymdB9aPvVdfiCz/PZxehi2mMR0jqEyrP1cWkUCMuoYs9wrccWGkKRvSSmzfbaUB+Grq9nvELQxy5aXxs+c8SIEVWeyUCWhpbHVe7evVuOt+Sez32D137ve9/LHVXq06LVg8R4ExISEhIShhDDkvGGGEOMvcclofGTUhCP/7r++usxZ84cAJAj3Hg0HaWq9vZ2OQ5ty5YtACoHLgPZwdJ79uyp6SUbY/cMSZexbfY9Q19jbaHa1sfffdJ76LkhG5LPy7W/vx9z584FACxYsAAApL85Fm+88YaUxzpPnDix6rdJkyblxpnJ77VtyB4L54Jth/Wodh2UTejvfWNYj8euLtseRNDY2Og9fF3Dtstlm63lha7LcdVPe0rruvJzzJgxVYdEAMjdE2LXRdvls9e62uDzz+ju7pbraevj57hx4wAA69atk3bQb8TONf3MIoeqhFhkjL+Iz+4ZY1t1sf2QpsbOzZj9o2g96FnMdvH/crmM/fv3A8jYK/d3ajaPOeYY0axxz3dptJ599tmqa3iYBOduvWsYGKYvXqB2o2I2AX0NXcknT54MAPjc5z4HAJg7d27OsYfOVSx3woQJooo488wzAWTn+vK0FpcKs5521QvX4rOLjhtPd3e3LA6ecsSTdai23bZtWy6xSAiu8CoL1oOODNyUPvGJT+Dcc8+t+o6ODbx27NixsrhYLy4stmXHjh147bXXAEA+uVj4cu7p6cnVNSS0+JysXHBtHLUErNBGqsv19Sv7pFQq5c7vDdXVvqBcqmJCb6RWtWedzZqbm2XjI/hynT17NgBg//79IlDFOAfGwPXCjS1Pj5Pd0FnOzJkzMW3aNADAKaecAiAT3rm3fPWrX8XatWsBQPqAAq0W3KzKsp52xqrJ7fOtgKPb7pvrWgiqxxGs3v0wxgzD9uzbt09+13MRyM4q55nYxx13nJxnznG27bv66qtx1FFHAQBuueWWqvIYfjoYJFVzQkJCQkLCEGLYMt6QusFeY3/TjiO8hk42xx9/PIBMPdTb25uT3ikdUjLt6+sTIzxVFJRoqdLUafUG0z7Xb/oaq7aj9EVp/LDDDhPG/uKLLwKASHdkGfv27ROm+6lPfQpAJvnReYwqdf38kGrMpybSEigZKutzxhlnAADOO+88+W3NmjUAsv6l1D1x4kS5hmo8q6mYPHmyhByxXygJU/Lv7u7O9WtR9Z3+BPxpLkulUs4JhPWihuHoo48WBv/SSy8ByOYdmVRTU5O0i04h7EOqvTZt2lSz7kBeZe4KiyIsc9bM25ooqPlZunSpMEKuMc4lPvPBBx+Uc7Gp0eD6iXHeccEXyqIZXQj2Ps4tstpzzjlHGBC1ZtwTiM9+9rP4h3/4BwBZmy+66KKq+r322mtipuI69SVqCNVTa9jsHkTt3N69e2W/4lxyrU+fM9zUqVMBVLRfVr3KZ7nO9o6Ba0+xWouQWpzzhtB7N6/hWmN/U/v1u9/9Dl/72tcAQMbUMt+mpiZZlxs3bgSQmbas9qAeJMabkJCQkJAwhBi2jNdKRDHM1+UQQ6lk4cKFADKGR0lw3759wvIoGe3atQsAcPLJJ8snJftXXnkFQCZxkYk0NTXlnAtc8Lnsu6RG66TQ3Nycu+6CCy4AAPzJn/wJgIpUxjrxk/dQat2wYQNOPfVUAHk7KZnz7t27xS7a3t4ubawFF1unc8NJJ50EAHj3u98NIGNvAwMDIo3yYAmOgXb3v+aaa6qeRUalJX+W8/LLLwOA2Nyo8dChLEXaYcdUO1eFwjnss8gG//Iv/xJAhfmSjTz11FMAgJ/97GcAMgez3t5e0dSwD8j6qdW46667pI020Yitt26Xtjf6wn9c7bO2w29+85sAMo2SBm27ZGZPPvlkbq1Y9ghkLI0IMQyfBinGoVH/xnVNjdCiRYsAVEJR2GbbduLoo4/GX/zFXwDINBIshxqcZcuWyRynH0OMs45rLPg31yzZ+ZFHHgkA2LlzJ1599VUA2VxyaXs4Bxg28/nPfx5ANm5f+cpXsGLFCgDZGGptUz32X5eDpf2NrFr7LhSxR3OcqKEgmpqacOeddwIArr32WgAZu9dtmj59OgDgXe96FwBg/fr1ALI9hWuwHiTGm5CQkJCQMIQYloxX25JivN58kpa2A9DWQpbE3773ve+JNEeGR8bw+OOPAwD+8R//UaRIesiRBVLa7OrqyqUzc9U3xgObsKxA25rZHn6SPZZKJZEUKZFZm4n2EPZ5t44aNSpnxwvV2zdera2tUg+65ZPJUOJfv349/vmf/xkAsHLlSgAV9qCvbW1txbJlywBknuWnnXaatAeoaCyee+45ABl75Fjws7m5Ocf6YiT1kMYlxHzZ5xyf6667DkA2b3TdyJI4xppV0L5EDQX7ju3cs2ePlMPxCiUGsf4Muh32f1cIFcflyiuvBJAlJwiB5axYsUL8DcgqrA1Sp+OrpX3Qv4VsmIS10el22TA02gnvv/9+qfOFF14IIGOEvLezs1O0DtxnWB5Z7Ztvvplbj/W0C8hsuYcffjgA5Gzr3d3dMhe49lyaBs63JUuWAEAuodD48eOlP/Q+Q7j6PBZag2fZrA4RAip7bIy93o4l20Gb+iGHHIJnnnkGQObp/PWvfx1Atna0bwrHmUyXfcD3RD1IjDchISEhIWEIMSwZL5C3AYTsclYy1xISWRHtipSwfvOb3wCosFob08r/KUlOmDBB2Ac/ea32mnWxCA2Xvcn1my/Qf/LkycL2+Gkl0P7+fpGurecfJb/29naR7Oi5x2vJ/l9++eWcjc3Vrlrxqd3d3eIVSFsLpW96fj766KNyPRNpUFrViT1YHx6qPXPmTACZZLx582YJevfZX/r7+6NiR32pHYt4QpdKJelzjtdxxx1XdU93d7ewfMYLUptCRtPZ2Sleyw888ACASp/xfltnwjVeviQbmnH4GEu5XJZZBPuZAAAgAElEQVS5ybVx/vnne59l2Su1Rccee6xcQ4ZoY5B1e3xM3PUsC1d8vYtBs0yubybGoQZl27Zt4nF/6KGHAshsqlw7jz76qFzP8eEz6LOwb98++Tvk3+Frl47YsCkNOQbUhqxcuVL+toe7cN50dnZKOzg3qVXhsz72sY9J220MqyvGt5YWzNcu1o1jwDnB+ROTK0HXh/sCfXWOOOIIAJV9h9olzknue/RR6O/vl72dY0nWz/2VmoV6MGxfvPaF65uArt94z/HHH4+PfvSjALKJx8HcvHkzgIqTFVVI3Kw5KRnyodUx733vewFkzhIcsObm5txpJRYutZdtz8BAPoOQTt5BJzGrnuLk3LRpk6hkOTH4ouMCffrpp2UyctFRbcLEIPv27atSz9aCK3gfqGwQnMB0TmC7uJjL5bKogRiWYtVFOhkAnR0YjsRn33bbbbLRcHOMOSnHBZ8wF1MOf2tsbBTBhqpY264VK1bgxhtvBAC8/vrrADKBgsJdZ2enjOWqVasAZC8sPedi6sg+tGYEHRZC2BdCb2+vOCWyf/m/vkefFANkKlWO8dKlS2WOch255ph9mYecvUIICbmsH9vB9UUBkAll9uzZIw6JFOLZL6z77NmzcfvttwPINnR7dqtL+C4STqTbYPc0OodSJcpPfQ3rwTE5cOCA3Mf1SPU/X4BTpkyR+7g/UIjWfesTaENCqk7IUsvx1PUM1z3cyygccrzYnpdeeknGh0LQunXrAGT7IZAJVJyjfOGy7fy/HiRVc0JCQkJCwhBiWDJeLf0UlW6BjLEuXLhQnHQoKVGNt3z5crmWkhAlGEqSlHrHjx8v11C1e/rppwOAJAJob2/PpWNztYsItYuSPhnqrFmzAFQYkD0jkuqP1atXAwBuvfVWYUo6jzSQqcWPOOIISalo09dRQp8yZYo8y6qcQ7CSbGNjo5TJ8iiJsg07d+6U/rAJJ6ZMmQKg0l+XXHIJAOCss86qqitDvLZs2SJaC8seQlJ3CCHHKZ/0ze8PHDgg7JUsgu2jxuVb3/qWsAmGNJAlUyU7btw4OTGL6nntBML/bZtdOal5vSsJgOsUK3sPryEzYF3JMt566y1xBLPnXDOk5dZbbxUWYZOg2HpqaDWrD/U4+DQ0NMg8+/SnPw0gaxcZ71lnnSVttmFsZJZ33323MELf/qW1Ehx3X8IIF1iePoWH4/z8888DyLQhpVJJ1q7VPrCfWltbhdlxb7NJVl588cVg2FcRh1Hfb7oM7fTmKz+kOaQa+TOf+QyALFezDjFk2Rx3mgj4/+zZs6WtdK6ixo57fkzOdx8S401ISEhISBhCDEvGC9RmI1oKouRBOw2ZwgUXXCDSJHX5v/zlLwFkLGn8+PEi5VAK57PJ0Pbs2SN2UrJGSu/HHHMMgIrENBiWTmgnA9aZbKlUKokjzh133AEgk1LJYF955RVhgmTKZLyUJNetWyfSO/uBIQS89pBDDpHnh86fDNne+Tslapbz5JNPVl2ryyBLon2dzg4TJkwQDQTLYbKMm266CUCFDfI+X1KCUEhXUdRy9NDPYtiCTlsHAE888YTYjGgHJrNnOrtVq1bJ3PQlHiiXy7IOQg6JIXtirQMGBgYGqrQUQJbsg4x3xowZktTFMlTaEDdt2iRsT4e+WFh/AXtAgwuhsbXzjfUaOXIkrr/+egD5A1KoPZo6dWrunFdqLf7rv/5L2sf7bOicTlhiD2CwWiJXe2ybu7q6ZC/inkDtF+eBdjD0Me+mpia5jvsG68z1/+Uvf1nGm/tNjBYsZix8/+v7XU5wPsbc0tIiDJWaNfbH008/LdfalLvUJD344IMAKu8F9gf3eCZa4lwvmiZYIzHehISEhISEIcTbhvG6mBV18LRp0LZ0ww03AKhIfJRqH374YQCZazhZZLlcFgbFAHRKTJQE29raxKbGZ1Dyu//++6WcIkk/LFyee5So2M6mpiax5ZLh6nNqWS+WZRmr9qhlKjl6N9MWTg/He++911k3X3t8EmxXV1euz1gvhsi0traK5zYTlfBcXtqpDz/8cCmTHoiUYMnSR44cWWXfctWnKGJSEFompZknGR3tb9SisP+nTp0q48J59573vEfuByr9RMbMfrIe9K5UmCEGVYRd6d95DeedZggA8IUvfCHHBNhmjlu5XBZGqBNlaIQSlNRrO7TlkbnMmjVLtAv8zR5tWCqVpM9p6/v2t79d9X9LS4uMvT1vWPe7LzWnq10hNsw6kn1yv6KGKXQEJvfF3t5eaTvrzE/atydMmCD3uZhuTJ9buOahTwPg6js7/3XIETV9nGPc0x577DEpz3qkU4NJ2365XJY9n3tKrTlbBInxJiQkJCQkDCGGLeOtZTvUtlBKIp/85CcBZJJfqVQSqZZxg7TZUJppbm4W6Ye2YabzI7sYM2aMSEKUdsg8yURmzZqV8waMaZ+PMQKZ9EXGuHnzZok/qxW0DuTjICnl9vX1yfW0L9LuRDvc5s2bxfZd6zCAUPt0LCvHwtq9tO2QNlCb6m7jxo0ildIeY71A9aEYIXt7kePLYsbJXqNZDm1jZCfUXtDTcvr06WIrZCpCJjBgW5555pmc1G3tn652hcbLtb5qaQXK5bKwIRvbyDqvW7dO4l1ZN9pA2c7Gxsacly3HX3uy+pKX1LO+9Hd8Jv0azj33XIl2YHuoIaPGQnu5MtEJNS60C+vnWVsk53NHR0fV2qiFGC9tnWTG1sHebz97e3tF80S/gxNPPBFANlcnT54suQ44D/WxgLaudh6FUmG6DsGh1oDaL86t3bt3yzhxD7FtHj9+vGjvuN888cQTADIN29SpU72H77CdK1eulP2fSWusD8VgfEWG7YvXwtVIqlSYnYoTRncmO5KDwMB/voBnzpwpHTp//nwA2YuOHa8XCB0aXA4MtcKJXL+5NkA+j/XghOns7MwlHLAu9zozk1Vp6bzFfOEuXry46louLJ0YoZ526fZQFWwXFJ2l5s+fL5Pbhjmx7h0dHVXqMSAbHx1+YNX0Np+qNgnEwLfxaXWVT0gsl8u5HLd84dLxY9OmTeKMRMHPnt27bds2ryOH66zcIu1yhWzEOIvp5ApA9vKZNm1aLoEG16kWQmKSR8Soln336P+tkMkQryuuuAJAZU/guvrXf/1XAJmalfU66qijJGyIL2cKQa6XD7/jmPKe9evX58KI7P+h9rjA/rb97pqjNpyssbFR7qO5gC8utnfDhg3yorOOYTF1dY2fS93O65hh6n3vex+AzESxevVqmUOEDb1csmSJ3E9SROcz7Thn5xb3ce4lb731VlWoHoBcWGRyrkpISEhISHibYFgy3tiQD7JPqpHtPb29vXL2JZ2ImDiD6ovbbrtNVE5kUEyO4co/S3UZpUGybH5fFC5p0IZfsF6jRo2qOilG11HnOdWOBkBesh4YGBCpkPczuJx9OWbMmKgA8VrOYqVSKRdOxN+okjz11FNFrcUEBAyCp2qpt7dXmLNNHKCTbpCF8Flss85RXEvroGGZmCucwceK+/v7pc5WVczUj+vWrZP76FBGyfzXv/41gEqoGlkIy7NOMi5VcYxTXMi5JaSuZXvsOc69vb25ecO5Rgcz/UyOky+HtKsdoYQKrmvJTKhtoBMlWc7OnTtljZFR0WGK63vTpk3Ciq22SzNNjgc1GtTqcLz7+/tFfU0WHDJ9xLB9V55rlhsyRQEVdTITt1ADwPVFk87OnTtzud2LOBiFxsulseHa55xivz/22GNSN3uaFe+ZMGGCaLm4p5HxUuOxZ8+eXJ9b1fXAwEDOadc6YBVJ8WmRGG9CQkJCQsIQYlgyXg2fFD8wMCB2yPe///0A8ufG9vb2yvU80YZSDx0j+vv75WxG3s+TZDQoRb3wwgtV9SIj03Ur4rzjgg4GB6pPGbLPcDFftoN1tox35syZWLRoEYCMQTG5O+9paGiICvC3cCUpYJnUMti0my0tLTmNBBkCWUFPT4/0B9tBJkMptbW1VUIJCBtSFXs6UUxikBi2b9MBcv4Q+/fvF2mdYQ+8lpL6YYcdlmO61lZnn+uDtelqh5iYpDW8hgzRphs85ZRTqk5VAvJapoGBgZy9PjQmPuc1WzfbHqAyV/hc2luZlEWf1kV7Ossm26IGRq8rsi62Xa83sqNrrrmmql+YNEafHlbEhh1irr6+i3FQ27Nnj/jIsO4cEx7a0dzcLCyvnnCiUCIXoq+vT+Y4x4kaBc22qTWhnwjt9dw/WlpaJFSP4UMcU2pItdOZ1RYsXbpUyqH2g5pH3sP3jg05K4LEeBMSEhISEoYQw5LxuqRd+1t/f7944ZGhWsmrpaVFvC5ps+GxfpRmGhsbhWkwVZ+1m5ZKJdH3U4KlBEjGqxlijO7fMtaQzZD1GT16tDCFItIWJX7amxYuXCj98tJLL1Vdq5PvW3tmyJPRd42WLinB8jg/nQyCdSTL43jRW7GpqUkYBsvjPUw8MXHiRLGt0aPR5T3r8/TUqMWKQ8kONGxSDbJ03ScnnXQSgMy2y/rx+7Vr1+YOs4ipjwv2OpdXsS8sRDN4ah1os7744osBVNYc7+Mas+dCa/hC8FxsTf9WC3otso6cf/zkGh49erTYOf/xH/8RAPA3f/M3ALLwtqlTp0pdrZc+P0877TTZX2iTJ2OmXXfLli25yAE7R1ztqEdDoX+3/cvx2717t/QH28c68xztCRMmeI/AC/njxIRCaQ0e9wOuA0ae0Bekra1NQoOokaB/DvfhnTt3yh5JhuvyxLZhSNQAcv/Ytm2b+PEwMoa+ClzDHMd6kBhvQkJCQkLCEGJYMl5X+juLUqmUC753XcP0ezwM2eWRZj30rITe3d0t0h+ZFJ9Jhtjd3R08xsoi5tg6y3i11Ony4Ob3+kg+IJMgL7/8cgAVOzeZ7uOPPw4g3weacQw2jlfHDALZAQj6aDraYyht23K7u7tl7CgZkw0z3m/ixIkSY8fYZ1fd6/FGjGHFoaQUlJJd8YO0dXMuPfXUUwCy9KahhPQh1h5T51BfuO63GprrrrsOQHUMMpkAPf2tTTPkERvSdoXa6itnypQpErtvk8XouHaCc4rshnHYAwNZMhTahjm3eODIF7/4xdxRiPZ4QdexgL72utqjr62lbXLdR7APjj/+eNFAsR+4dtj20OEEIdYds1/oOUGv/oULFwLI+pl1veiii4Tpsu/pR/Db3/4WQGXOWc2jPQKzv7+/qv0A8OEPf7jqWU888YSwaOvxzr4YzLGAw/LFqxEK1aBDxI033gigMvGBTAUJZJ3GBUCwvK6uLnkGVQvMQ0t3+rFjx+LZZ58FkE1KboZUIWm1Q5FEBi7YSak3O7YnFELAunCjufLKKwFkyUNWr14tYVbcHO3LesSIEbmwpCIbnm4D68r+vPXWWwFAToQpl8vSv6w768o69Pf3yykhVAuyXVTZHThwQDKK0cGC93MR6zNli6BIH7jgOyu3p6cH9913X1UdWXdufE1NTd7sRIOtV8ymrceS31F9y/VAdVx/fz++853vAMgcGmni0GrFIvWt5ejmAudze3u7bM6cY3TM0fsEwX3i/PPPB5A573R1dYnamYIs1+LnPvc5ANUEgPsDw/NWrFgBoPo0NBtOVO8YFgkD4yfXzBVXXCH9wH7iCW46gYQvv3S9sOXpZBSsh71m3LhxeOc73wkgW9c8XY3rY8SIEbmwQ0ukurq65OXOECqOOwnWypUr5cXL8eJ6dJ1lXRRJ1ZyQkJCQkDCEGLaM16fS0OoDSikMB/r9738PADjnnHMAVDv2EFYdvG3bNlFzMsSIISg0zmvHKYJSGCV9l3NUTLtC6knWVZ83TFUYpS1Kd5Ra9Xmf5557LoAsYQClxJdeekkcysjYrSTrUgeG1P+hU1CsmpXjRfX/Mcccg4997GMAgOOOOw5AliaO4UGnnnqqtN2m8mS5a9euxc033wwgk5qtacEVhlFExVcUIecYoMKMyIoI9iXbqRMzFKlPrANYPeXZc67JJrds2SJjZ5mCy8mlSEhNCDqBjEZXV5eExfA3u75cCT3OPvtsAFlK1VKplMsn7Tr3mO1h+BA1SzwNraGhQdiwXU9F9g39XSh5CH8jI6RTJp1EzznnnFz4oWWRuhxfjuOiYDnU8rS2tsq8oWaB4U1aM2HHkElReMLSmjVrvCYy7kNLlizBpZdeWvUdtafUTIwaNUr2f+6x7A/W3YavFkFivAkJCQkJCUOIYct4fY4U2hGCEglthzxRhFLM9OnTRToheyBDpS7/7rvvlhAWwoZ86L99KQS1VFjE/uELmdDf6RASlk3Jj4yOnw0NDWK/mTdvHoDMxkEb9urVq3MhBNZeoZ8VSmRP+Bxh9Ek0Nlk+T1qaOXOm1Jn2WzpRUKIl29X9wjqz3J/+9KfinMXrQ4yqiFNKqJyY32xfhhIghGyaLrtrrWfH1DX0DD1H2edkbWRHXIujR4+WMBCOBR3e6FTne26t32LGy6ZU7e7ulrXC+UaNC0PWPvCBD8j6sc8kq9GaqND6ZuIXnmdNjQBt4h0dHbkDBw42QmPJ+cfwL+6LQOY4akPf9N5WTz1c+4YNI9u7d6+wcdaDPirUFuzfvz+3n7Mc/j9+/HiZizbskPvhKaecIho9JrShVoRsu62tTfqMc946iSYbb0JCQkJCwtsEw5LxhtiJTiRAaZTu/EztRWbX3NwsUpsNyaE0ru0s1galJTafPUVLc0UC+33fuwLStYemDWNifSjxNTc3i2RHZklPX7rc6+QbPhar2zwYD1R99i/rzIQXtKn39fWJdGuTG3DcDhw4kDv2jGNIL+kXX3xRnuHzvnRpJmJDcULfu35z2URdNrJ6PER9GgZbduz9MdfouUJp3yY7OOyww0TbYA9SCD3bNddiwmXs/fzUnrA29OSmm24CkM213bt3i+c15yF9CzgPy+WyMClqy/gsXvPII4/Imba0GfIZ+oASn0Yhtl9s//j+199RK0T2yPYCmQ2eGkNqBckUQ2lWi0Q6uKA1FJxDzz33XFU9NPO0R6ZyT2AbWltbpe+pZWDIEP1HBgYGxOPePovaCB0qZEOpBnM4gpQ56BISEhISEhISojEsGS/g9jh0/Q+4k5UDFQmFv1Eq1fFeQIUBa+9RF2LtG0U8NIvYF1mvvr4+iS2jBG29Ffv7+8U7kGyEfUAb14gRI3IHPxeJAQy1I6Yc1o+M9cEHH5T0n2TpTHzC9u3evVtscoznpfaCdpqmpiaxI5JtuepTJBFDCD7brJaQfc+KsT3ra4swjno9T2s9o6GhQTyV6Q3PT51UgvONMb78LZQIxPdM/XeRPtOHMFBrwufT5kzfji1btuC73/0ugIy58xrGmu/Zs0fYERkVowU4R1esWCHrk162vFYfllEkFrbINa6+s/1CG6Y+hOQnP/kJgCxhCzWIOs64iPYhpu6u8WKSEbJN7lf0Kt63b58wXmofuMdxP5w0aZI8l3siE9Jor+1HHnkEQMZ0yaCJ1tZW2UN8aU0H49k9LF+8IWO+ngC8hupk67QwMDBQpS7R1xAtLS01N6oY9VDsJj4YJ4Wmpqacc5UVUEqlUi6nLO/nJB0YGMidClNE7aUR46xDsI7W8YmbOZAlzmBmLe3IwM2U52yynbpd3CxC7QoJB752Fdlw9AK1ZxATLgcYH/QLvMh4FYHrGbZ++ntudNzIuc62b98uzjGEKxSqVn1dJpcQfCE+Osc35zwFAapdBwYGqlSvQPYC5suosbFRBHSqo9lOvnhHjRol6k2uPdd52UXWjO+3GNOC/l6fDAVkzkTr16+Xv7mONHGxZcWsJ1tHV/3seDU1NYnwrdXyQLYHsG91e/T9QOVla806LEefLEcixnKsA1VfX19VONXBRlI1JyQkJCQkDCGGJeONlfysRBVS4YScbaz6OsROQtfEsA8fk4p9fhHm7QvQ120OSd9FVOc+uNStdrz0bza/qr7XdZ+FL/TJpWoOzZcYFlHrN534IuZ+3zUx9SuVSnWl9QvVx45XT0+POOqRMZA9ko1s2bJFtA42gYEe0yIarZjxCsHeZ/tJh/XYuarnmm2PS+tk5y/Zmy7nYGgtQhoBV9/avMJU1W7fvl00Ar7+CZUdqkfMeOl+tppHGxqmy3Sd58vv7Rjyk3O1v79fxsf2ix5ju9/YfhmMk1VivAkJCQkJCUOIYcl4gfqM+D5HIf236zcraRVhnC4mNZh2uSR9LWn5bMqaQdv7XHX2SbWuehWRxF0aBZ+dVEu79js7lg0NDTn26GJ4tdoVmhOu62NYcUjir2X3KqIdCV2jrwsxlti6u65pbGzMJV7hNTr5gi/8IuQPEWNLD/WHbasrzM+nGdNJNkJ19WkidIijZVA2SUbRdvmujf3NlklnOB7EsXv37igtWhF7tK1PjDNcf3+/V9ug62O1DqFxsnNC+/doh1VXvfQ+aveig5E2MzHehISEhISEIUTpf8Njq3AlSqX/+0okJCQkJCQMAgMDA1E0ODHehISEhISEIUR68SYkJCQkJAwhhqVz1aWXXup1HopxiLH3hL7r7e3NZbNi9hkdnF0r36zLKYr5QF3t8jlq1ErmEBNq4sNgky3wfp4xCkDOtRyMY1lonHTbfU5DMc4OMW3X47VkyRIA+RAS12lURZ5bxHkops667T5HsNh2+frRlSwh5hqfc1/I6SwE+0zdLt88DIWzhdpVjzNdrINlLWeq2HbZ/nXtDb52udoe6qfBmCRLpVLVngFk81Dvq0X2h1r3FKmbRowznYbd42ORGG9CQkJCQsIQYlgy3hC0FOIKcq91rUsa1zlJgSwEgKEBLkknJri8Vp1qfT9YKTzmWSHpsoj07nuGS1oOhbmE6mrbEyonxKhiQoVqBceHxj9We2GfHWLQrvALW48i4UeuNvvSW8acIay/99WjSAINzcBtPUJjU6Rfi/T3wMCAd+xCc7Qe7U4sYva9mDCgWmvYdV/MXAghZh2E6uP7LRQuWGR/jtlrUzhRQkJCQkLC2wTDlvFaKSV0MoRPAimXy8JarbRMu64+8YIn2zD9HU/w0OdAxgSwD9beWSvpguu7GKYaI1UWtSe77Hf6//7+fm8yiyISY29vrxyGwbHg/fokGl+9XNqRmIQOhCuFZUzyEV95tb7XKJfLch1TENq2A/nzpGuVqctxMbqYusaMpetZvrJdtsd6ELM/hFCPv0iM3X6wtkjXePk0N6HxcqXCDKWYjdlvau0pIbjs/kXmW0j74FrnvjSQRTAYu3divAkJCQkJCUOIYct4iZDHai1W45JIeATda6+9BgCYPXs2du3aBQCYOnUqAGD58uUAqplUjIQ0GAmdcNko9P8xUvZgfwPcTDWEkNRdS0qNKRdA7gxhnpcZY/Mr8kzX/S6PzxhJP4bp+MrRaQzJ9qmV4ZnGTPxuUxXWgsteWouxuFi+1UiNGDFCku7bI/Fc4xSym8WsZx+KaHdc9Ym5tsg1LlZZz36h90Nf34XGy9ZVz2Nff4f2JFeZ9SCkLQhdH2N7dvks2NSgoaiVIjbiWAzLF6/esHwd61IZWnR0dMjmNXPmTADAySefDCA793XOnDk45JBDAACnn346AOChhx4CANxxxx0AKvlNmYs2Rh0T064Yh4aYyehadD61UGgDc70w6zn4uR5niZDjCjfxI444Quq/c+dOAPXnTC2ieoxRjw7m2f39/Tlhzp6VPGnSJJmj/I2HhjP/7NixY+XvUJ196jyX6tJXZyB/ZipD8UaPHp0z5/BAcwoJ48aNE4dGff6pq17so1qwddRzPaZdtdauqz4hMhBy5PKt4RjEtMteq5/hOr+beyTXmj2j1uXoFtqnYtZXzDX1qud97ww919g2tt3Ow1BefFtuPUiq5oSEhISEhCHEsGS8ITd213WWyU2fPh0AMH78eJx00kkAgEsuuQRAdo5oCEuXLgUAHHbYYQCAG2+8MSc11XMWY6zDkr7eByuNsV5dXV059aMr4USMGrkIo6ul9gq1oVTKkj+QtVHyvOqqqwAAixYtwjPPPAMAuO222wBU2JUuJ5Zl1+PEEVK/+eAql/PGhqwBGdM44YQTAABHHXUUAODwww8XFfPLL78MANixYweAjE12dXUVYvAuRlakTWS4VP+fcsopAIBrr71W5l9bWxsA4G//9m8BZGryDRs25E58sSjqXBVSB9Yq52A9q7GxUfqFGgGX2r0eJudj0K7vWG5fX59oHVgPrUECgIsvvhhr164FkM2tTZs2AcjGq1ad69H8hJy0arWr6DPtSVqHHnqomBftfsNrRo8eLaYsq0k6GCrnxHgTEhISEhKGEMOS8WqE2ImVvind8fv58+dLyjWyiRjwftrRDhw4IN+Fzm8kfGw4hm319fUFbSb8m842ZBdk9i0tLSKp0UmM9sHt27fLMyjV8jdK6NrpgM+IYXku5yN+hhxo+Ew+l/W48MILAQAf+MAHpL2UzPX5p0AmkWq7F+dCSDMRao+P4drQGP2MUPgC60oWeNZZZwGoaGVYV9o9r7jiCgAZo29paZGyyEKoufmf//kfABW794QJE2q2y9d2rXWwbXXZxnjN/PnzAQAf+9jHpD0E6/+Vr3ylqu233XYbli1bBiAbO87jkAOWr+6ha/T31nbOfaOjo0PGwJYX8kOw497d3S19RmZpnw1k/WlR1GZYyxbf19cnz+K84TjNmTMHQMXZdO/evQCAe+65BwBw5513Aqj4DQCVfYPj3tnZCSDbT11avCJaPX1NLcc217OskxT3DyDbAzi3GCa6ePFiOY+Y85D3H3nkkQAqc4PrkW33JZipB4nxJiQkJCQkDCGGPeO10NKPlXYoZZLZtba2irRTqzwgk55o66AE2N7eLpK8lfg1O6jlqRfyMtVMlvdTwiK7GTVqlLTn8MMPBwCcc845ADJJrVQq5aRt2hNp12hraxOmsWfPHgDAr371KwCZfSfW5lerjTqkwcecm5qackz385//PJw1/V8AACAASURBVICM2Xd3dwuDog2fjGX9+vUAKmNQi+nGeJbr3+y1ofAbe21ra6uwhokTJwIAvve97wGAsFMgY0NWm8Lxb2pqyrGb/fv3AwB++ctfAqgkgmGZdl244GLntRgdgJwNk+Olma59xrRp0wBkkQRTpkzJJQKJ8cAOIcbzlHVkP7G/t27dmut7e3/IFsk+2b9/vzBCwsWS6vEPCfWPjwX29fXh6quvBpAdSsA+0PdwbtG3gOXSj2Dnzp3YvXs3gEyLwciCnTt3yl5SDyPU19bSBrrmKPc2rvtDDz0Uxx13HABg48aNADJfHfZFa2urRK5s2LChql3UDLS3t3s1Wb76FkFivAkJCQkJCUOIYct4fdKPy7ZGG4X1jL3nnnswY8YMAMDxxx8PIEu68JGPfARARcKhx/Pq1asBAM899xyAzMZx5plnCgumVGftRaG66zb4pFSWO2rUqJwUN27cOPmf0jWfzz6gPaK5uVnuI1ukPYblzJgxQyRzsuAXX3wRQMYex40bV2U7DbVL18OVHtDHGtnOadOmibR95ZVXVv1GJrJq1Srce++9Un8AIoWzT/bu3ZtLJ8n6uLxoYzw1ax29pu+npoFj09nZiUWLFgEAPv3pT1fVVdvhtm3bVtVmreHQbXCBzzz99NNFWxFKHRnjHWvHSXt+cg7R4/roo4/23s/7rMZjz5492LdvH4DM1kgG5Zo3ttyioJaITJdtoM05JnLCte9wzfJz7Nix0q4invNFEOofuycddthhsp7I6FygL8uKFSsAVOLG9fdHHHEEzjzzzKpn0H+ks7PTm5Y3pAGsR+vU39+f+459f9FFFwGoJETi3CRj5z1cT83NzXLN4sWLq9rFebh7925ZW1yzPn+PejDsX7whBwL7m/3/kEMOEZXcU089BSBzHGBCjF27dmHlypUAgGOPPRYAsHDhQgDZi5cvZCD/gini4h7z4uru7pYNi9/xfOCBgQF5iVJFvGbNGgCZ6nn27NmYO3eutJ9lAplzQX9/v2zO7B/2Bzepzs7O3EvU1T6ronONl1UL6YxMQEWgoMpSq+0A4IknngAAfP/735dncXOj+oyqpZUrV+LNN9+ser4dL5eq2LWAbKah0ObB9hAUgq699lpce+21ALJ+5VjQqeOxxx6TOvNZnIfcFObPn59zyOEGwc1k5cqVMl+pxrX1qgWfGo/16unpwac+9amqulG4085x//Ef/wEgG5czzjijqpxZs2aJIMy+iqlPaLMOCX4cS27EFDZ5TU9Pj1dNyv8bGxtzTn1cg2effTYAYO7cuXjssccAAC+88ELVta6XUD0hTKF7uTfokCHODx/Wrl2Lb3zjGwAywYREhsJ5Y2NjrhzO5/379zvNMED4BRUjmFhocx7rSjPGrFmzAFTWDutNVTMFWe4pvb29sl9SiH/00UcBZH3Y3t6eS2hjw5IGg6RqTkhISEhIGEIMW8brkypCTg6UbCnFzJo1K8egGMYxefJkABV1yhtvvAEgS5xB9RkN8JSUgTxzKhII7oKV1Pfv358Luten8rAdZAqUxqhCb29vF4me0hslQNZr9+7d8hvL0eEBvja4vvOloQylXrPS/+GHHy4s7ZVXXgGQqbyffvppuYfX8JOMl8z+O9/5Dp588kkAWd5tm/BEn/RDxISwuPrAsn3+dsEFFwAAPvzhD8v8e+mllwAAv/3tbwFkavI1a9aI6pMsghoYMtjjjjsux3jJGHnv+vXrZSwsC/XVX7fTpbq07Vu4cKGsHz6D7eC83LNnjziz0PGP17INl19+Oe666y4A2dqy6jyXWSbGWczVXrtGrClG329NDFprwPvICIlzzz0XQGUe/+Y3vwGQqbHZFzEo6uxn28x1Tob33ve+19svHK9169ZJ8hN+x/2DjkadnZ0SfsN9guPW3NycO7fchqHF7oc+hqz3WqsVogqde3V3dzdef/11ABmLPfHEEwFk7HjmzJk5NktNFBOLzJs3T9psw4kS401ISEhISHibYVgyXlfSBcIVTM1PSrBkRLt27RL2SDd6SqC0d7a0tOTSqFFi5ElG69atE4eDgw0rPTU2NubYDdusk2swPIWMh1JdU1OTtJXtItuirXjGjBnSHkp1lNB1uFRMijSf/c0lmVNytU5fmzdvxs9+9jMAGfOh7ZqOR729vWIzvOyyywBk40Xp9eKLL5awKNYjxgkuxHh987BUKuVsqJdffjkA4H3ve5+0k/X//ve/DwAijdNm1tLSUhVaBEBsvmS8Llst68w52tLSkgtLipHMQ+EcBG20n/jEJ2Ts+AyyPzrmtLe3SwIQX3rWtrY2+a2WbRWIOwzDN1f1PmFPt9IOfNYhiNcec8wxUhYdEKlNOe+88wBU/CqACmviWBZxTCzCoFzjxfvJyOlXQK2IBtv5i1/8AkDFFs29gAfIcIy5b4wZMyanTeEzu7q6CmkmLFwJSux65LNHjx4tewCdMX//+98DyFj6nXfeKX+zPPq8cD11dnbKHKCtl1oLYu3atVX+Lhr1hINZJMabkJCQkJAwhBiWjLeoTYCgxE+W8cILL4gNinY32nYp5bW1tYlNl79RwuG9EyZMqOll7bK5uBBzjZW+9TP5Gz0qKcVRytu7d6+E3ZARkkHRG3jkyJEiDdOeyKQjOpQpJhGDr30uW50N/yIr2Lp1qzBdaiTI1llnIB8Qb0OOduzYIakzeV5tKBwk5LFs22PvbWxsFLbJ0AQ+m/Nw5cqVki6RTJeJTjjHWlpaxKOcLIu2SJ0C0taDNnCeK7148WJhZC4P7lrtc3nnc3w4f5qamqrCoIBsjdAeePLJJ4s2yYcRI0ZIW6mpoW2/Vt1qIeQ9THbNftUhTJY1cizpL/Laa6/JvCUT4hri/1u3bsXzzz8PIBvnUBKGwXg1u/qE/hrf/va3AVTCIKkZIzjXqP1avny52Hhvv/12ABnL10lO7MErfJZO92q1IYNpn/6O66GxsVH6lWFo999/P4As6dHChQvl+dwjb7rpJgCZNm3OnDmibWP/sA2MYNmxY4c812oQiZRAIyEhISEh4W2CYcl4gTgJz0qRlHQone3bt0+kFLJZSjozZ84EUJFmKNFQ2iWTouR34MABbwD6wfBw023Q9rzQ4dNkNZQ8KcF2dnaKd+If/vCHXJlAhaU8/vjjVWWyzzQ7LZLAIIY1knFYT+jW1lb5jkH7ZLpkJzNnzpRYPaYetM/s6OjAli1bqp4Rqk8owN/CssiWlhaJ36Q2hdfQS/53v/udsCp6XlOKZl/oOFYyKkrz/NR15XympoOMbNmyZYXa5bKF2vG1Xpw6lpPzZd68eVX32MMGXBg5cqSsLTsPBxvv6vKI5f20C9ImS4/5FStWCEsncyebZZsfeuihnHc2y9GpXWn/ZSpCezjLwdovXOPFZ3HtvPHGGzn/AY4P19n5558vzJD7BCMD2PZ3vOMdVTZdjZEjR+ZisWPirkPg9TqpEFBJEkM/CraVh3RQ2/PHP/5R5iav4X5Iv5FzzjlHxpLrkX1ABrxw4UKZH1yXMXM7FsP2xVsk84vPsaKvr08GjSoSqsY4qE8++aQkb+C1NoHA5s2bZaMIvQzraRfB+o0dO1YcTzgJqDY9cOBA1SknbCOQqXn0i5eqolBSCx9i2xVyPootWzsqsX/pEHHdddcBqKjNqSriJ8FnP/bYY/LSs6o+17OLZOSyDmLlcllU3josBcjUyD09PaKOpmDEjYtOcZ2dndJ2lscXBF/ajY2NOcGIY8pN4a233pKXexFVc8hZkZ8h1bHNFBYDnYGNGZAoVA0WLtUuN0xu0hTCaV5ZtWqVrCt+Ur1OdfvevXulX1l32/bRo0fnBGGu5aImKR9CCYQI1q+hoSGXVYrz6NRTTwVQMZPQsZJqW76UOa937dol5z5zT3HlwI9xggu1i/exzuy7d77znQCAj3/84zkCREdGntL15ptv4vrrrweQvSgpjNNJUOfDt4SHDmbjxo2T5D1ssz2tbTDjmFTNCQkJCQkJQ4hhyXiLshJfYobGxkaRapl/mYyXqd2OPvpoydVswYDradOmecMdXIwhVE9fwgk6e11zzTXCMMhm6PTQ1dUlUqUNd2BA+fbt26WNVHfZE5VsvV31qdfBzfW/r80alG5PP/10AMCHPvQhAJlKNRTeRGe6rVu35tJtuuozGKcPStFHHHGEOOVR+ue1VEHu27dP2AP7gHOKY7R9+3aRsi+++OKq+6npeOGFF7BgwYKqZ5ENUzU6ZsyYupyQfP8DGQtgnt4tW7YIg2c/+M6WDaGhoQHnn38+gCyM7ZFHHvHWowisZqKhoUE0CQxFsbmwX3nlFTE9cb7xGo7xtm3bZCyZNtOqkXt6emQ92jzBobCtehmiXcNsM539nnnmGWkjVeCs83ve8x4AlXHkPsP7GWLDsX766afFCZNaOKqzOzo6BsV0bZv0M5hPn3sCtUQa3Ct//OMfA6iMmz3b2WoFS6WSfMd5zLlBMJQKyLRULu1FvUiMNyEhISEhYQgxbBmvT5oI2XrtPe3t7SLxMZyDYTebN28GUDG88zt9iACQGdyvvPJKSfVHFmBtJ67nWzQ0NHhPy6GUeeyxx4rERvsXWVypVBJpkPWgVEpprLu7W5iurWtRifRgOFfp/vGx6/7+/pyNzZ6M09bWJiyR9kBKq6tWrZJPSvIMmyAj0/3tS2EZao9l0GPGjMmdAsRr2IapU6fK6UTsB9oX6dSxc+dOYa32nGFe29bWJsyQ0jc1OHQYmTJlijCXUGIQwtqKXZoA3v/Nb35T2sM6kX3wni9+8YtV/4eeWSqV5H46qJHx6vXhK8s1XqEDU7iuuUbYvzpxDlm9dlIEUBX2xP5gObyf9Vy+fLnMRTrGMQQu5GgUw5xiWDLXCp0q161bh2eeeQZAdnoPWR/tpiNHjhR2zrlEDQEd9zZu3Ch7EZ/L/mloaKhp8wyNl7brcq3SeZLPtz4dGrS/cs+jf4SuI23XtGuPGzdOymR/2BSSjz76qOz/1EC5TtCqF4nxJiQkJCQkDCGGJeN1Hd3ms+Nq2O8mT54sSSTo8UkJiRJ3T0+PsAeyTvvMu+66S9iVPS6uiI23XC7nkjeQxfHZ5XJZJD/aY2hbmjJlikiDOrhdX/Pggw/KbzHpEl0exvw9xnvPNy66nFphLuVyOedNyiT6ZBW33367JDX4+Mc/DiCTiGmfO+OMM7B27dqqZ7i8kmsdJ+mqK8eEUvSYMWOqEpIAeS3Gvn37xDZrz3DlM+fOnSv3W49N2v1nzZqFW265BUCmBeG8sQktXM8KtYvQmgA7hpz7O3bskLlFZshPhnOceOKJufHm3CTLoB0VAB544IGqZ8WEE8XMR6K9vV20RLbvWY8JEyZUhQQBWUiYPiuZ15MlcfzpNfvmm28Ku6aGwiK0FkOIWcPW67+np0dYMMeH2jS2b/r06XjwwQcBZHZgajU4p3T4F9mx1gDF7Hu+73TyDfYn9wJ7GIV+Fu+jHwR9driXA1kaU+4Jt956KwDgk5/8JN797nc768b23X333cJ06Sdk05sO5jzexHgTEhISEhKGEMOS8bqkqJi4UH6SKU6ZMkVYERkvvfMY5zl16lScdtppAPIMgezij3/8Y1Wy9Fr18kmw/f398ptlo5Qym5ubRSolW+fxd/PmzROJnNIbmY8+1s91GLitX4jphtpWC6Fx89mMS6WSMCna3im103Yzbtw4SW3HvmI72U+7du2S8aU3KuE6FrCIrcZeM378+FzMJsujpD527FhhRzwYnVI0x2vUqFHCKNkeK0m/8sorwkpYD7JhfTwky7HaGQ2fZ7jrua6DzW3iDzIq6+GrQcZLNjhq1ChhI/fddx8A94EKRWyGPrt9uVwWbRLXFT/5/VlnnSXaBs47Mift3cqYUXqm2yM1Z8yYIe2hfdB34IluXz02Q5eXv7XtNzc3S3u435DRMbFGb2+vxP2T0bM99GGYNm1a7jAC18Edvvq42mXzEWiNIec2+5DX6nh5zlVthwYq7NTa4Ok7wT1/wYIF0kZfny9dulT2Eo4z15VN2FQPhuWLt151DMGJ1NTUJE4OXFg8T5Qb2YUXXijqW05YGtG5+LjRa9TjQu/KBrVw4UIAmTu7DguhsMDwhe7ubslJysXPybRp0yYA7vNvXQu7SIKSEIo4YPmg76Fjh82G09/fLw4hViVL9W9jY2PNcCL9mz2rN1Q3LnS+0A8cOCAvXKrHOY+oZly2bJksfpvHmXXevn27CBRWjUYV5iOPPCJ15eJn/3ADbG5ulvticmyHXl6+Oa3Pg2Y9eBIR1ZQuQYsOgBRkV69eLX9zbbHcUH1CG7k14fD/+fPnS3YtvnB5jc5Qx3GhupMvZc61E044QfJK242dzjvPP/98Tj0awmDCv1zf6TBKoNJOCj18idl8yrt375aXM+cvnf2oxl2xYoU4A9r7Q/Up0r7+/n6ZQ5xbFAT47NbW1pxp5dlnnwWQCbv79+/PmQNJXLh/TJw4MUdO7H7e1tYmZEDXUbcrJdBISEhISEh4m2BYMl6NUFiRpfyUYshEgExC4yeDy3m6S09Pj0g2ZEvM0Ul2OW/ePJEcXfVgPa30FAKlOqqKyVj7+/uFIdjQoYaGBlER6RN5gMx5oq2tzauyPFjq5KKIUaWRcfB0EKol6dxyzDHHCMtzJUrh/0uXLgWQndoTcsKLYYZWfUYW2tTUhGXLlgHIO5yQOWzYsEFYFs89ZrgDHTZ2794tUjvPGWYIyA9+8AMAFaZGdRmfxfqQdTU0NDhVw7XaFbrWjltvb2/OcU9rjoBqxymyLPYZ1bC9vb3SDo6zi/EWUcHaa3Xubz6f64qOlXreWDUir2WayVmzZuUSKDBkjQ5iPT09si61g9PBREyfaDbK67h2qGkhk9+3b5/01R133AEgyz1Oprl+/XrRBOj7fKiVnEd/pzUUXOtk3Dxbm2NwyimniGqZ7eC+yfKOPfZYMU/xO+7jNBdOmjQpVyeOE8PBNm/enDsljP+7HBqLIjHehISEhISEIcSwZbwxjhWUWCmtUPr/0z/9UwDAe9/7XrGN2YTmDPPo7e2V+1iOlbzeeuutHPMJsVpf3fv6+nLpBSmNM+XZggULcM0118j1QPUpMZT4mGbwhz/8IYDqMytjbLy14AovOVgMynWNPuQByPqFqSMvu+wyGQ9bDu89++yzhVXZ8BD2T29vrzMUzILja08k4RxZu3Zt7uACskBqUxoaGkSLws+nnnqqqn4AJBk7QyI4V3lqVl9fn8xJ39zSziox4Q71skmWyfqTcZC1X3LJJbm5feONNwLI+k5rmWibK6J5Cfkj2JChvXv3ijaIB2/o1IEWdLqhrwHnj7Yvsq8Z8qbty3ZPKhL6FEI9/aMd7ixL43yaN2+esHNqKOgISDu3TvzjYrr1aM3sHC2Xy9Jn1HqRXWvHWF7DEEKmHiWb3bVrl6x1Ol3qM8b5LDuWTB7CREn6EAh7IhORwokSEhISEhLeJhi2jJfwBfWXSqWcSzrT8zE9mitEgdApwujFTOmdXqohz71Q2IxPkm1oaMgdWGDty08++aTYCJmubvHixQAqDMimNqNtzJWa0cJlj45tnw+hEKFY9Pf3CwuhZyNDN971rncBqEirvn4lS3799ddFkqft0Nq7tdd3iPX5jtbj/42NjXK/teNpNms1JK4DI+wzOEe0liYUGsZrimgoYjQSrt8tcyIDYnjQUUcdJW387ne/CyBL1qCjA3whbzFalRh7NOvX2dkpXuYMDyGrZQjKiBEjxDZNWyjDiKgZ6+npEcZEdv/www8DQO7MW10fi9hQvlrQY6HL9tWDDI5aFIa1LVq0SPZJMl2GDOkQJHvggE6XWs+atxEFAwMDUjbHh7/RA/6BBx6QxBfcF+gHwzqMGzdO9hC2lfs6n7llyxb5jfOWKUs5V3t6enJtJmIOfamFxHgTEhISEhKGEMOW8cbEhPE7Sj30RIw5qozS3MqVK/GjH/0IQOZpykOfycL6+/tz6cKsjcIV0O6qL3/jfZQ2dUINevPRzsR6LVq0SKRuem6zzbwm1g7riwEsGs/rk3ZdntO+clpbW0WSPffccwFk8bKu+lA7QMai0ylqWzeQPxJR23eKxGLba3t7e71zVLNbe43rmT4G5EoDeTDipn331eMTQPsbvcjfeOMNYUw6vaYuL4axuq6LYcW2vLFjxwrjYbwtj9mkpqupqUnsnLQ5M4kDva/37t0rtvgnn3wSAHLHz8XUp17UM17Nzc1VSTCAzKuensLjxo2TyAqyfo6fjgG2tnPXWNQTl6z7hf1JDRLnP7UQ5XJZEnnQ+5j3Mw/C6NGjpR0cO8Yjcz8fPXq0+B+wjdxTuA9rJk+E2l4Uw/bFS9hJ5Xp5UL1IozxVQAsWLBC18fHHHw8g26z//u//HkBlkLnI7ASkGnfUqFE1nSVcA2WhN33XJs3y+fJguAonyS9/+UsJK9EZnTSKqhx1/UP/+1DrGbo+PkyePFkWCTfFP//zPweQvUC3bduGn//85wCyDf3xxx8HkC3Q3t5ecQixJ4nozyJhN4TLkcKnPtZzxKeWinHs0nWupdLX/RwjULieH6MCtapcblQUBMvlsowPnVK4nmJOyYp5AYdCxAj2QU9Pj6xj5uzl+mIbWlpacoIr1xdV6StXrhS1JMeUQi9fDK65HiPI1uNkFatuZ5+z7VSh03z11ltviWBiM1i5Tl6zKuKY9e2C6x5fHnyis7NTXs7c19k+qqMpCALZ2LFctqupqUnmAPd8kpzQujgYL1wiqZoTEhISEhKGEMOe8VpoiYRsiE5IVCkwpOTll1+W3L9f/vKXq66lpNTS0iKSHt3XKSFRNaGdZ2IcCWJCoXgNJUjWp6GhQZ7L8Bk+f/To0SKZUzVGdlFPfUKIlWRrSfguZxIrOe7cuVNCGej0QAcWSr9/93d/J04XbDOdWigF9/b2iiONZaj6mTGsxKWJsKjHiSmGaYbKDzn1xSA0f2vNbdf3VqWvv+NniIEXcVYs4sTDcWtubpb1w+9sGNjAwICsJ5bNucb5tGfPnpx2STNdW+8iGqB6nJNioFPU8hlsF8/s5XVAtqdQ7arVy9b8EXLULLJvaNObHWdbjj6X16aN1fewTF5jy+nr65M9lg5/do4MDAx4NVkHY7wS401ISEhISBhCvG0Yr0u6oPSlz40EskDwlpaWXBo/OifppBu0RflSCIakVMJlD7EISYdaurIMQYeVWBYxmLRl+hmhuhexFRdhgWxLR0eH3EcWS80E2e0JJ5wgdjcLjqXuX5/U7HKCi2lzTNINF2uL0QjY32IC80N1D4U7xDDLWve4oMOvfGcPu9ZXLdu1/rtIGIcup9Yc186Yvt9C/Vyr/vb3WnMrBjG2Y5dPCT+146hv33PVK2aO22uLzsPQeNU6eS20D7vGy+4F2v/Dx3QHkzhD6jLoEhISEhISEhKiMWwZb4ythOxVn9MIZIy3r68vl6zcSnHlcjnnqcdrNJuMOePW1t3CZcew92splWA9+vv7azJcF4MJ2QpD7NxXTui5RUIr9LX8jjYXel8yEX1HR4fUw543q704i7BG++zQd6521WPjtfdqxlDE9hfzzCJ2f1d59Wo/bDhfTPrEmPoUCf9y9anvGXrexIyBz+YcswfEPsMihj26vJpdXsj8jf/X8ryPYawuhNpln+k62MG151rPZ1ddfXVzzZ+QRqqedRmLxHgTEhISEhKGEKUidoX/tUqUSv/3lUhISEhISBgEBgYGomhwYrwJCQkJCQlDiPTiTUhISEhIGEIMS+eqSy+91Gv0DoUbxIQB1brH96x6VPJ333131f+XXXZZVS5QIOziTrhCI0Ltso5AMeEzhL7X56Ck27VkyZKq+0IhEqFxKpJ4ICbsxecAEXK+0O266qqrAGThTPZs5P7+fm9yDVdygVB9fHO9SBiXC7yf58YClbXlQ4zTiO8aXVd7ghbvYXKU3bt3yzV0fuQnQ/sOHDiQCzuzddDtsvPQtT/Y/nQ59/nGK8b5LLQnFQmtcbXLJq6IDVUbjAOQq9x65mKpVKpqE5Cfh3o9+dZ5jBOk6ztXCtaDZWK1e3wsEuNNSEhISEgYQgxLxgv4pe4iEp/ru5gwg1rf1/rNJ02FQm1CLvdFQlk04/Cxz1B4SgwDd93nuzZmTELB867n+MINQvdZRqP/do0XmZcvsX/oBKwYrYz+rdb4hMbLxa7rRa11oFMQhrQyNuSDieiZ4EYnbWCyeoYcsb9dyR9C66FI6JWrvFp97tpvQgk0itQvdG8olCVmjyzyrJj5U1RT6Ls2VCef9sF12lc92hmW5apbvSF0RZEYb0JCQkJCwhBi2DJeoh4JSyPE5Gy5PknNJV3WG0QdCvxmeaEA/VoSn5bebco+/t/T0+O1A7vqpssu2i5bf9f/LltoyEbMTya7Jzo7O6PmRJExo32RfaeTmfjSCbq0MvXYvvX/tdIKxoyf61muZ/uucTEOVzl6ngFZGlCeyzt58mQ5vIQJ+fURnECln21CmyKIaRfhShlZ1JcEcB9K4Jrr9r4YuJJJhOaUD/XuW7XYaL3Qe1WtPUnvw74EHDGagBjNo+u9ELqmKBLjTUhISEhIGEIMe8YbYn8+FupCSMqpJbmEfq9X6gkxV593nysBuIuVWCZIOxol+66uLvEitWkXY5mT75pYe6SG657QYfA8LpFHnL3xxhtVbQGyNKL8jmkmNQstYtOyqTpd7I/QHtAxNiR9JKTvGt/81fMghvnE1Mf2j/ZY9605Pnvs2LFYv349AOCoo44CkHkzv+td7wIAfOMb38jdd/jhhwOoHBGpv9f1GCxsH7oOc/elWHTd5zr2MKZ/Y36LuSdGU2IxWLbmWrsuNq//j+mDEMMk+vr6ch7zrjlfZL/yIaStOhgYti/eWipD/X8RxwWXg0aRDZgokjdW18GnKgkNbmjAWR4n4rhx40Slx5frkx0EbQAAIABJREFUlClTAABvvfUWAGDr1q3yPN+GXnSzC11fS/Wj1WZWlcWXWE9Pj6gh58yZAwC45JJLAADbtm0DUMnr/NprrwEA3nzzTSnbPrMeQSKkHvc5/WhHI95nz3jWTkSus5lZru+FF9r060WMWYVhVqzrYYcdJp+cd+eccw4A4PTTTwcAzJgxA0DlpKknn3wSALBlyxYAmTr61VdfBQBs3LhRXmx8VhG4+sKuOddJNBwX/qbzglMtTvAarVLnNa587756xbQjpOKNISAxQm/IjBEjLNcqx3WNy4wRQ0r4Hfc6OkN2dnbKuPj2aG0OiamrT/gejECYVM0JCQkJCQlDiGHLeIkY1YhlHFqyDTlL8Np6nDjqcTJwGf5tOS4JVNfdPo+S3rhx4wAAZ511FqZNmwYAmDlzJoDsLGIyw7vuugvPPPMMgLwqNuZ0IV/bXNDMMOSYY6XK9vZ2AJlEe+KJJ0o7GHx/xBFHAACOPfZYAMD8+fOlH8ikXOrSIvDNCe1cZR2vyHpGjhwpf7Neu3btAgCcfPLJAIA1a9ZI32/cuBFAxv70edNWrcln8vve3t5CTjYxJgU7J10OZVQR/9Vf/RUAYO7cubl+sc+aM2eOzM3XX38dAEQ9zfa0tbWhra2t6rsYzVatJAy6PJazb98+0Qp1dHRU1Z2fixYtEjX43r17q+pMFfr27dvlNC2ydGv2CWnqQky1XnY1GFZWr9ariCkn5sxfrfnhWqEZY/r06QAgmq4NGzaIZsw6lXL/GzFiRCFNn28MEuNNSEhISEh4m2DYMl6f9E17ysDAgDCDQw45BACwevVqAJkUtGfPHimH0s6FF15YVc7WrVuxcuVKABm7orRKqaizsxOjR48GkHe+YDn6TOAiDhUxjkX6Wt+5mhdddBEAYOHChSLpsc5sF5/d0tIibabdbezYsQAyBt3d3V1XmIKFtt3YtItkF0CWXIFshGP713/911JPskW2necu08mqra1NzvG1dh5t1wslvyBq2YDK5XLO0YP1YhsWLFiAo48+Wv4GMrZExtfW1oa1a9cCAO68804AwGmnnQYA+MMf/gCgEmrzwgsvAABOOukkABmTIgvr7+8vxKBc89DFcG27eB/nyw033AAAOP7446uu9T2f4DyjYxz9D8iAu7u7hd0UYfAhDZe1206aNAkAMG3aNJx55pkAMkdEhjcdd9xxACrjx7LIxHkty3nttddwyy23AACWL18OIPOvYH1s+svY9tlrXdqvENO012pbtP1NO8qxndbOzmv0nKiH6cY4vep9yPq0bNq0CUCWpGVgYEB8DFh/asaoRZs0aRKee+45ABUthX4G93GtLSUOlpMfkBhvQkJCQkLCkGLYMl6fNEf2dumll+KUU04BkIUrULevbTjWg5Gsi9Lqjh07RMret28fgIwd0+bW2NgoUjIlYf6mGXiRdllJT0t3PltoY2Oj3Me2/ud//ieATKorlUo5Bsb7KQledtllItlRMicDZrmuQwDqCcnq7+8X5s2+43i9+93vBlDxfp06dSqAjI1QWtWevhzXZcuWAchYkk5RSMmc9eGYkiHGhhO5/AVcnxpk6ZdffjkAYOnSpTWl5He84x1ir6I2hs++9tprpZ5sF9nWr371KwDAE088AaDC+m2aS1cdfeMUG/LB/pg8eTIAiD+BnmsrVqwAkPXHxIkTAWRs4tVXX8Udd9wBIDsQgPOXGgHdb9bGG6qjy4OVzz3xxBOr6nPqqafK95x37DsyQq4Z7aFO7YzViixYsEDK4bjQ9si539XVVZd/iGtPCHntApV5RG2QDSnk2EybNk32Mt53xRVXAIBoa772ta+Jtolrl+uzsbFR5qRvbYTmod5bbL/Qf0BrO7me161bB6DaDwKorPNjjjkGADB79mwAmbaJWqaGhgZ8//vfBwD89Kc/raoP58pgvbZrITHehISEhISEIcSwZbw+qYKS9sKFC8U+aaUULYlScrVxepSQurq6JCEDJaK5c+cCyFjt9u3bxT7AT7ILl70wZBf0MSlXwgDWlW3o7u6W377yla8AqGa69n7L9slmZ8+ejWuuuQZAxiZoH2e/TJgwQaRLXX8Lnycjn9nS0iI2MNri+bl48WIAFW9kn02VTG/FihX44Q9/CCCz7dJzmTGk2vN569atVe3TEm09Hs6h+EmWt2PHDgCZjTbWJuSKabT3W5ZFxsHxmjp1qnjZhmzzRexWLjsc/2ac9I9+9CMAGctfvny5HKn4nve8BwBw7rnnAsjW7rPPPitzgloPzj+288CBAzl7aEjz4mOP5XJZWNoJJ5wAIPOI5dppbGzM9T29k6mJ2bFjh2iFNmzYACCbvxyLcrksbJqsi9q00PokQu0iXPPPXqM1HtxDuOYYW00t1FFHHSVaBtad64ls/9JLL8WPf/zjqrby/o6ODnlGjO+EhWtP4XOtH83OnTu9a5YaralTp2LWrFkAMvs626OT6HBOcC8hu9cal1rx7INhvsPyxauN6BxMqkr4EtqzZ49MMKtu4AbY0tIiC2jVqlUAMmcUlgdkzjl84XLAWN727dvFiM/Fx4HWm0OM679v49ODanMs0wlp8eLF+NznPgcgr+Ij+vr6JAkBVX50EOGnnnjvfOc7AQC/+MUvqtqzZ8+eqIXkC/AnyuWyvAyp6qOaiwJPW1ubLHq+aLlh3X777QCAp59+OrcRc9y4Wc+fPz9Xr0cffVTqAVQ2pSLt8i22vr4++c46THGzdoFzU6uOOac5N7lRMEyqoaEhtx7WrFlTVZ/Vq1fLhkW4NjW7uYdOeAqpDPnipFPLl770JQAV1T5fwlSv8uX89a9/HUDlRcw+++///u+qZ3BNu9aVS0i1dXPtG9oRCMjWNwV2LRBzX6Cq+NlnnwVQEbS1uhgA7rvvPgDZS/a0006Tzf35558HUO38xvq5hAMfXBncbJvt/9y3pk2bhg996EMAsr2NddeJXLiOKBjx5UpcddVVMl8feeSRqnZ1dnZ6wzkJ19yyySh0/fmipeMT/9d9Z+ct+33evHkiFHCOuepBYZD7A58Vsw5C7YpFUjUnJCQkJCQMIYYl49WSBCUjSsKU6tesWSMsiVIq1YsMURg3blzObZzlURpqaGgQIz6lQEpPVN1t2rRJ7rPMzOZtBfwSkpbyQsHY1jmGyRe+8IUvCEu091MqXL58uaTjI2ukmsmlpqJ0e/755wMAfv/730v7bDhHEScQnZiDKm7rZMNx6+vrEyn1lVdeAZAxcLZr/PjxwjisIwRVhpMnTxamw/IozWutiM9xT8MnzerQGpu85F/+5V+89/I0HjI8strVq1eL9oFtpfrr//2//wegoiGwjIfpMum809fXJ/1hHQld9beqVa1l8oUTAZlzI1k9664dGrW6GMjGhyE7TU1NslbptGPrF0qoEJPkRY8t9wzOH/aTi1VzzlNrRCeeGTNmyJq313K9rl+/XlTwHBf7LD0mWvVp22zbEdNWlkNV6yWXXCIOZPztBz/4AYBsH6WKH8jMBYsWLaqqe2tra5VmBcgcn3T9bMKU0PqyLLmxsdGbXtMVQmWvYXsOOeQQ2ds53q51QK0bTYfcK6lJ1OFEvr1gMKrmxHgTEhISEhKGEMOS8QJ5yZxsSUs2tJeRKTARAdMh9vb2in3USviUyt/xjneIDZL2Kuu009XVJRKwlXqJIkH+oetLpZJImmQVTI4xadKk3HMp1VGSfeaZZ6Q9vP+xxx4DkKW20zZDtpEMhOjo6BA7dhHGS/DeESNGiBTJdpElse7Lly+X/mWIEMeNoV39/f3CGrQdGsgY/aGHHipl8hrODY162mMdsrSEfvXVVwPIbNauZ910000AsiQZDHEYOXKk2EvJoOm8Qy0NpXMgYxVsO8s/cOCAzGlbZ42QfbtWqFFDQ4PYo1k228yDENrb28UPgs5V73//+wFkDA/INBL0veA8dLHsImlMrZ1x4sSJwrgZfkgNjO4LrmuGN3Hesc67d++WsjnfqE3RjpdkW1aLwfKbmppkbdi+dMFng9caCo4PbbTXX389gIpPB+foAw88AAC4//77AWTaiLFjx0o9Lr744qpnaZsr20wNmQ5ZrLUXhjRKrnAiGw6p62PrxjFkYpnjjz9efuP64VzT4JhxnLh2ijgkJsabkJCQkJDwNsGwZbwEpUGGtlBSa29vF2mSqfXIVCl1NjY2ivREiYYSIMvduHFjLpk27ViU8lpaWkRCssnPY4L7XQhJTawz7USf+tSnAFR7C1qP0bvvvhtARSKlJze1BAyL0tBMST+LNrc5c+YIq4pJoGHL1Z6IfD7vZwIMMoZXX301x1DZv9o+Y9krx5lsqVwuS9uffvppABlz5rP0GbmDkVwbGxulTLI+l1cnwzBos2aoDROXtLa24sEHHwSQhbvQZsx5oJOZ8Bm0xZOZLViwQPo55rAPl/3K53eg7fZkR2TnZI+0Kx44cEDsZZxLXEca9L2grZpzIuYc3tA8tKxpx44dzmMWgWw+9fb2irfuPffcU1V3hizu2LFD6saEEdZfRJ8XS6bM3zhHxowZI2uOe0lM+kQX2B5qARkmxfa2t7eLVpAe5Rw3euD39PRIHb/61a9W/UZN1d69e2VdUXtANgkUSxXpg8vbOybxBseAtudjjz02Z09nP+vxf/jhhwFAUrGyXdxXfc8PfV8EifEmJCQkJCQMIYYt47U2WUovtMOOHz9eYtMogdK2SyaiYzat1EOUy2WxqVF6Z/wkJSedEJ/2AlcShhgGFXPwgD14gZKsBtv8b//2bwCAs88+W8pn3WjbvfnmmwHkjyjT7WCMLz25yXY1YuJf7bjt2rVLJHy2i9oLxjqOGTMmZ++iZK5jMPk36/bhD38YQOYt29nZKXGXlMipvdDjVUQyt3YmffQfba+cL5ax7Nu3T9pBNmvjwDs6OiS1HbUqtMVTCteJ7InLLrsMQJYkfv369bkkJK522mMFCZcXZ2g+z5kzB0AWB07tSltbG5YuXQogY7r6ABGCDOXxxx8HkD/IQ9c1FAGg6w9Ur1mW4UvwQKZ35513yryntkGnKuX/VpPAvUj3F59FTcu8efMAAOeddx6Aiv2esaO12umCHhOuGdopOW/oM6Dtr9y3yI51VAe1gWT59Pc48sgjpU84RxlXr+2mteod+t31m43F1omAfMlmGNf+rW99S+bbJz7xiar2cI4ODAzIHsKYbs10ffUpknymFobti9c6wNgkGa2traLO4cRxhR1wYLgBcmFyUHt6euQ3LgBujgwB+eMf/1hTHVQ0S5FvcyyVSiI40K3fJkYAsolC4eODH/wggMrkotqYpzTR6cIFOkvw/i9/+csAKi8W61xVBDp/Mh2mrPOa60Qnu+nr0A1uMHzRXnnllfIbALz44ou49957AWQbaOglVKRdNgtYS0uLCBQUIOwJVu3t7aIKtmf18qXd2toqmyDrzJAUbg6jRo3KbUYcd51sgCr3ULt8ZgO9Sdu26u/5HYVVVyIDJkqhIOsCBSTOY754NeyLLkbFbE+l6urqknK0ox6Q5bu+/fbbZY3wk/dQYG9sbKxSTetrtFDHvymY0EzEcnfs2CF9Z58VA9fY8uXBfYLrauTIkeJg+ZGPfAQA8POf/xxAZn5avHix9D3bR2GB9SqXy/ISZlIeClwaRc41dyUOsm3k/GF7du/eLeuHsM5rQLZv04TD/9nOq666SvY27rV0zKVjakyIYXKuSkhISEhIeJtg2DNeShmUUMgUJk+eLBIe1aR0YCBTaGhoEIZACXThwoUAMlXLmjVrRCKiJEvVBD+7u7tFMqKatB5px6XmtAy4XC6LVHfBBRdU9YEGJVCGEZEN9vX1/X/tfX2QnWV5/nX2e7PJJhAghIQQEr4hgIhRCWoIioKUYqu0VesMLXRE/Kg6teN0bDujdqyjTmesWmyrVakgI19q/AakBCERMBhMIJAQSEIgIclustns7tlzzu+P0+t+73O/z/Oc5z0bT9f5Pdc/u+ec932f7+e9r/vrkbNRbYC+hk0CQDUn+2BkZKThbEr919c2Da3Wo9qX6jcrGYfSx+nTVJhnlmEqlGCpsXjxxRfluyKOUzHt0okz+D2lbZ5wwrmpQ9h8Dmqcf0NDQ8JKqLmhGlmrDC2sk1+lUskx1RBcSQ582gGtxmV5ZPfse17T29sra4T1t9DpXqkFcSV5mYrTDu+dO3eu9BVZDUOGqKafNWuWjCXZqCtFo+1XzlteUy6XZS/6xCc+ASDTYvDaE088scHRz/WcmHax3kBj0gf9fX9/vzybpihqSjh+c+bMyYWt6fA1guYUhiox/K9cLjckT/HV1dcO1zrl86ix4354+PDh3F5hHWJ7enqkbdRc8hrO1eeee06cAamdYR+41sPvAonxJiQkJCQktBHTkvG6grJtWFC1WhVm8fjjjwOA0yZJ6YcSNZkv3ezXr18vEhafR6lK25+sU4q187gkdQtXqIRLqqeE94//+I8AgG9/+9vSdtaRTim0A7M9W7dulVCNG264AUDeuUXXj5I+7V1kvosWLcqdjVokSYi+1tplCO08Ye8jK9CnQFECtuECtFfdddddEv5BNuNKf9iKbdd+rlarMgespoTt6u3tbbCTAZkdju2amJgQxxAyRGpuQhoLhkuxncuXL/e2WcPairV90heqocMyWDf2M5Pl857R0VFx6iOroGMRr7nvvvskfIh2ejKomNCaImFtBw4ckH4hu+Znvb7tudou9qYP2tDX6P7mGHL+8jeO99q1ayXZA1Pbhg6qsO1xXUNmZ/eGiy++WPY/to/1oC1zbGxM+oMhVddddx2AxpSarCNPNeOhGDNmzJD1bffCImGIGpybHC9qUEZGRnL2Y7sXaGcx7l/0xWB99u7dK3Zs1pXzmf4oep84EgkzLBLjTUhISEhIaCOmJeN1hRTQVkZ7WGdnp9hjaLshc6DbeG9vb+6sVCYeoLS5f//+Btd6XSa96kqlUu5QhKIu8s2udUm0tN0w9OLkk08Wj2WyCnopUrJdu3atMI33vOc9ANzhHJRSf/zjHwPIEhhoO7llH6FwolCyA5cN17bZ9gOlVI7NFVdcIe3itRxDhmdUKpXc8V4h6duOd0x7NBu04Q72OLWOjo6cfZzt4pj09vYKg6LXrWWl+n6yk1tvvRVANkdfeumlBk9ye79FyK5O2P4ZHh7G+973PgDZObocAyYKGRoawvr16wFkyTH04QhA/exT3s9DCGwdQok9YsLa2Ac9PT0yJ6jNYXu09sEeOUm41rv1TeBvPT09wmbZVt7/0EMPAaivZe5lvrO5XXDNRzJczimyNc6t9evXi+2TPiC0OTN15IEDB2Rv5Px75StfCQBywIKuGxP1aB8DO09sXUPHOOr22eQ7Nn1sR0eHlEs7NJN98Pt9+/bl/HD4l9+feeaZOabMeazDpHwM3teGIkiMNyEhISEhoY2YlowXyEsT9gi4np4euYaSkZWEJyYmGlLHAZlURym4o6Mjd5wVy+K9+ii5ZkzIVXdCxxXba/X3LJ+J52mPmTlzpkijjPUkGyYbXLlyJT7wgQ8AcHsnAvV+IdNgP7Asfq8PuA4xQ9sOVz/FxC77rqGX6Gte8xrpF9rmKOlTM6B/s8lC9HOLpFTUddRwPSNGC0JJm8eqVSqV3NGMdtyq1arY5jjetElR2zM6Oir9Y9MmhtqltRo21pj1Iku6+OKLxdOe/UvbLFmu7gO2kfOHZZ1yyinCUDjf7AEToUQnMd6yul12/lpmpvcNqynR42znKJ9Dm+LKlSuxfPnyhueQvelD2fkdGXfIu99Ca27Iqnkf1wPXgO4/zgVGcLDOu3btknhi7gGuhD18JlOfcs3pw0J8e1vseFkNAPuJdS2Xy3I9/T04x+jzMDQ0lNu32A9kx+ecc47MX2qQOOf1+Dfzqp8K4522L16Cg0o3eAaLl8tlWezczKhi1ufZ8n6dWxRozIhkyyJcHTuVzo5xngAyNRWzHVFNpDdHquq4WLhZ9/T0OBNu6DJeeOEFyVXK82+phuO9OjOODXtwtSlmkbnaSnDR8eXB9rz97W+Xzyyfm8fdd98NIBO8Dh065HQa8pU/lTqHQsNcYHsoONG5Y+vWraKKZYiYVYuPjo7KqUZ0nKG6kuM1MTFRKJzI1rlWq0nf00GIasr3vve9AOoqYq4bjoHN+jY6OirqOiZZsPnMea9uq62PrZu+tuh42Q3dlWjH92xXWVaQ4EvoiiuuEGGFZXLfoWlobGwsd15yaB6G2mqdvOz52Z2dnSKw8aXMPZL76MqVK+W+N7/5zQDyiU9qtZqYuEgCiHK57B3D0HiFxt06ruoMXSQYbBcdaynY6Be4TWbCJCKDg4OS9IaOmaGx8AnhU8lclVTNCQkJCQkJbcS0ZbxW7UtVB1nu8PCwnEpECYkSuma8Vq1kpd7x8fGcWoihAC6nohipu0jguOt3ss+bbroJAPChD30IALB06VK5jwyK0mooJIHSHMMFbrrpJjmblKeOUJ1DFaArnWOoPUQroUda/UtHCn3aDQB8//vfF+mWbaeaU59sRLblUh3xcxGtRTNpPvZ+ai3s+ccbNmzAgw8+CAC48cYbAWQOHgzVufPOO0Wip6qZjIXtnDFjRi7fbEh16VKpUqXMuUE1P1mOzlnOUA+q7FasWAGgHirEBC5UYVoWcfDgQWkPzyV2naDVrO5Fr/U52rkcuVzzmvsK5yST8Xzwgx8EUG+vTcTBPOnct7q7u0Wtzj4IaWeKtNU+R9fZ5kDnfJw3b56seabxZIgi73n00UclJzzHi6drac1PkdSXLljVvw0h7evrk7Zxn2Af6v2Kv7FdnNfU5HR1dUn9qZFgLmqd8MbH3ItoynxIjDchISEhIaGNmPaMl395cgZtJdVqNZeMQKfqs88hXIyFkp1N0ddqesiQlOpzUdefydzJiuzBDvo7Fygp0nGAjGrNmjUA6v3F72w6NWJiYsLpBOVDK/YO3a9kZ2TwZHSUWteuXSu2QY47Q8vIQFhvXZ9W7E2xdY+5z9pd6RRHiVufYPSpT30KQMakyAJ37NghzJJMxSYlOXToUFTYjXUa0oeI8H4ybjoKkU1oRkNWS6bAdfnP//zPYvO0DIjz8tChQ1IG5zgxFbuZ737b5hh7vZ0v+hxnOumQ6WrnPoY0fvzjHweQtZnsf2JiQlhVs3AVjVBIjq/u+nxgWxY1Fg899JA4nnKP5Slv9DG588475ZlPPfUUgMbkLlazYvfuUN11/Sw75/xlWseJiQk5YIU+EvT9YTjQxo0bZb5yjl511VUA0HCICMeD31mHtND6nuocBRLjTUhISEhIaCumLeO1enRKVfpoLntmq0sS8UmD2uWcUg9tWbR7ak8365lpn6clpBibqJVWtVTIcmm/oER64okn5uqhpVugzhD/+7//GwDkiDx72IEOAbBlHgmPvWb3u35j+8nsGC5DLcbevXvlGtp8GFpGFskzioFMI+A6/m4qXrIhe6Dtu1qtJlI82SvHkox1cnJS5jS9SSm968QuliHYEA7drlBCBltn9s/k5KTUieWyXi6NC0HtA0OhXNfwuWSDv/jFL2Tt2nmn18eRCuNwjYv+HHPvwMCAaFiYNpGftY/I1772NQBZ2CLtuewDl7dskXC9UFicy25v7dlktdqzmpoksmCuOX5/8ODBXMIJ/VyfVjFkC3V5ltvfuG+xHnv27JH1RK0D/WGonezv75fy2Pf02SHGx8cb9gpbPut8JJitD4nxJiQkJCQktBHTlvESNgbP5WlspfeYFGy8/6STThJPPer5f/Ob3+Su90lvRaVv3/0uSZZ2Tsar7tixQ5igTcJOr8nbb79dJFab+N0X6B6qjy6jSLs0YpglJVnGuZ5++ukAgMceewxAfWzpnchj8xg8TzbZ1dWVsxO52lWE6cSMt++aUqkkTIH10vGGvIas0Wfj6urqahrT6koUEdM+/u3v75c62aT5TJpBu57rOS6mSwb1zW9+E0DmYzA0NJRLYxqTVtCW6UJojoW8h31gm+fNmye2Rnrc233mzjvvlHhXe8CFHhOf9qKI/0Gtlk/wELJd2/7V/itkhvQfoDaC2pnJyclc7LHej2MiNZrBpTFkPajR0m3gvsB4XFfZjHrgXkK77ubNmyV1MMtg+7TvzFS8lpth2r94fS8J1wbqU73Y+4Cso3fv3i0OA1Q/UH1hz83Uzywa7O6rk+seTm46EnBy/PrXv5bNmS9VBofz8+joqLx4OdHs6Ry1Ws17FmioXUXaF9pEXAkNmHiAThP69CigrkK3gf1UXeqcrhyzkPOa7yXmanMMfO3Sz4mpD++jQ5l2GuOLyobA6M+ucBJfXflXZ2fjHOJpNzS58Mzna6+9Fs8//zyAbK3wLOKf//zn8pwf/vCHACBJP/gS4mY/e/ZsmaMcU7b5SKn3XPOwiKOdHZMXXnhB1iHrevXVVwPIBL/Pf/7zufO/2U+6v2OSvBAuU4n+6/rNFSZl56Fee3oOANm+RyIyOTkpz6IpyCbvaBVFHMu0sMF+tYSst7dX1PocJ568xnseeOABcerjurKnOOl1aetaxFThbVPLdyYkJCQkJCQUxrRlvD6polVpw95HyWZsbEwkI+vkou9tFm4Qg1gVJyViskCdJMGqfOh4oFNg8j62y6U18DHdGKbgalORfnCFUVDNRVUdryGrpZoZyNRLdGBh/+jTqELakFadqVppVzOzh0vFxnmoUwD6xku3y8eOXO2yqjWdXpDzTzsyAsBXvvIVGQfOLTq5XHvttQDqDi1M/KFDlYBGVmHD2EKOT0eKaRQJD+F3nFvValXWGn8ja+J8nD9/vtTRnlNMxOaFJmK0Mr69yfWbZYi6TJ12FmhUK/N6zQh9ZfgcUJt9F9MubRrx3WvNcDTvMORt27ZtErJJuMIQW9nbYpEYb0JCQkJCQhsxbRmvDzHSk0tSCbm8t3K6hoshtiJE1hIEAAAgAElEQVSJu+ply9Nne/psNa46hpLCxzig2efE9AMRw5y19oH2bJvCUp+Yw//JJrRdB6gzs2ZM3lV+jFNLkbHVtrYiZ3ra8dL3NHP20tfEjJf9XK1Wc45gNqnJrFmzpK/JipgMgmy2o6NDrrHsWtsFm41BaD634ktR9BqWoUPxbOiKTZsJIJe2M6ZcX+ib69oYphnTdldf8n9X6JNvvELaQPvc2LrGtCt0jW0HQ6joVwBkc9p1gpevXr73QytIjDchISEhIaGNmLaM1ycJu2w/PoSYjGYX1i4Yem5IMj8SbvXaLmjtuZrxEvxNnz3ZzLu1qKdnEUk6xr5jr9HhMvaMUZ2ukMzAJpcnYhIQuL4LtSvUd83mS0dHRxSTI2LmoY956LkRChezc0s/184b2sEY7jQ6Oipsz6YYJXPQqSdD7fHZbac6D23Zrt9iNByETs3J/uCzyfaJycnJKA1HkTnRinamiKZD7zdkhFZr5Lpf16vZvtbKvuG6T/edT/uh7+FeYsMqXWPgur/ZOCWv5oSEhISEhN8TlH4XHluFK1Eq/d9XIiEhISEhYQqo1WpRNDgx3oSEhISEhDYivXgTEhISEhLaiGnpXPXWt75V/rdOCq4ECTGOWD64AqVbcQZwOdKsXr264fOVV17pTXLgcgZxua9PxaB/pKDbxbzJvjM5AXdfAY1tbhYqop04YhxNfGVqxwp7DVMdAvWxsnXUqNVqwXSmtj6+a9oxnnq8uLZaXSsx17PPbJIOOmkdPHgwl8s4xsHI1sM1D214iMt5MhTC0srcCtXZlt3R0RFcK7Zdei/UZYecmoqGOPIa9p09zWxiYiJ4OlvI8Yr32L3QtisGuqzQ+mnmVBrz7oiFbVcsEuNNSEhISEhoI6Yl4wXCIRq+a1ysqZmrvU6HZuGSpnwpCfV3vrqHwniKnKEaqmMMg49hF7ESYEyaQl99GAIVCtFxSe9FQlAI/qZPWmGSDoYbuK63n+14udrZStiK6xoXuwmNbYxGoEg9Qte6EikA9X6x5/gy9IjXtOMEGH3Ck51n/Os6UYmICYOLCd+yz9Hn1xYZr5hnF9Fi6N8sAyfzdfVTTMKL36UWp5WyQpoOe02RcMGpIDHehISEhISENmLaMt4Ypuq7VksqPvuOljZtqjzaonjt2NhYzv5BKVEneihyDqpluCF2o+/1MQ2XpBbDoolQPew1oXaFJEciZHPzaRS0bdYnwYbsypoBWRtzTP+47omxS/vqE2OHi7lG94lvbjR7dpHfLLuzZwiPjo5K+kimUmTSDSag6Onpke+4fjQL9rUxBMs+9di4DgTwwedzodcDn2OZtL7Htx5cvgEx42WfG/otNG9ca5r14Vjasejs7JQjKu0a7O7uLpSwJ1T3IveH7Le+32JSjsZokI4EE06MNyEhISEhoY2YtoyXiGEKzbzqQs/r6urKHUzNA5MpuZdKWVo1/sajA3WC8yKSa8geE5KofExX18PHfEIMzEI/50jBxyZchwnwL7UPExMTXqagU9w1swHpdlvblu86V51DdtcYj8vQd7afQh6s+hlFxivGHk7otts20n67YMECAMCKFSuwefNmAMDRRx8NANi4cSOA+rF5APDrX/9avJpddv5W6h5iJyGNWGwZvb29ckgCj52zqRVjDh8plUpev4gjtd70GPnmv/Y4J5ulzwPHiQx48+bNsg7twRmjo6OiBWzmg6ER0s74+q7IeLng0nDF9HloPbeKafni1ROmmdoghFKplHup2k48dOiQnDF6xhlnAACWLFkCADjppJMAAI888ogsuu3btwPIziPly5mqM11GqF2u33S9fO2xC4eT/uT/PRe1r69Pzgl9+eWXvc+MqcfvyvHFQodYcFy50IlKpSKqS54AwzZw/A4dOpR7abnaYDdMl5NNs83DpTLU7bHP8cGlQudnjq0rB7Brw4oxdfjaFdqMQi+65cuXA8jCr17xilfk1JI8eYrn2R48eBDPP/88gGyztw5YIcQINEXbZeeNNTvNnj1bBAnOw507dzZc293dLf+H1Mm+F3+MQBH7m/2ec94KtP39/Tj22GMBAK997WsBZOfy8ozsp59+WvY3nvTD/e+ll16SnNVsc0igtXUPwTVe/M6aKPT3HEPm2bahUJVKRfZtjpd9T7jq2EylXgRJ1ZyQkJCQkNBGTEvG61IPNbsecKubrKRHqYyqklqtJpLdBz/4QQDACSec0PD8iy66CGvWrAEAPPXUUwCAdevWAYBI967yW2lXrGRLCY0qvte//vXy/b333gsgYxiUbl3qnBgHpZixKOK44DrBhVI22Ssdcf7sz/4MQF2zsHv3bgDAP/zDPwAAjj/+eACZtqFcLuckYBdCYSS2rq1Itbpdtq1WVXf48GGpM3+jpoXalUqlItdbJhXjgBXTrpBzC8ssl8vCUFetWgUgY7pUT5ZKJWGEDCuiNoZ/jznmGHz9618HkLFhW1ZoroacbVxaiJDal79b7Qfn32WXXQYAuOaaa2QMqFF63/ve11CmS9XsO2PZVa+QZqrI2Orn8zuOG9s1ODgIAFi0aJFoLch8WWeq1C+44AI5uYiaibVr1wKomw2so1wrezfrG7pGm784x1hnzrWhoSFpK9cV9xZqAGfMmCF7iU24osfPN99itK3NkBhvQkJCQkJCGzEtGS8Q5zAVY8TnNdaJgxLS4cOHRbKjpGQlmp6enoZzYYHG80f5fN9ZpzHtCtkFdd35m025x89jY2M56dQyXpcjl8vho4jk6nMY0W1hO6ytdtGiRaJloPR9/vnnAwDmzp0r95Mxfe5znwMA/OpXvwKQpXqsVCoidVsbccjBLMZpw8UQfZoWnTKRbWbdtYYEqM8j+hS88pWvBACceuqpAIAvf/nLAIBf/vKXcj1ZfqjuRZyHdLuapcB0+UzY9bB7925hFrSBss6LFi0CUD/HlnOU69A1D3022aJt9tlb9b2W+Zx33nkAgLe97W0AMmdKIJuT1JRxnVWrVXmOtR262OBUnOFc2hTXfsjvaO/kX9ZvaGgITz75JIA6ewWQc7Y6//zzZY8cGhrK/Q2FABZpn0/75poTWmMEZDbnWq0mtnhqA88++2wA2bgNDAzglltuAZAxd85DjrPL/j+V9lkkxpuQkJCQkNBGTFvGSzTT+7uuCXkrWgY8a9YssVHQc5k2Ad47MjKCbdu2AQB+9rOfNTxHezHGMChf+0LexFpa5v+s4+LFiwEAxx13HABg27ZtwjBo443xngy598fU32fjLZVKwmZpV2JdWfcLL7xQrrFMXoNlnHPOOQ3PIfMdHh4WNu2rv7bD6e9i2xnzG583c+ZMsdeuXLkSQNZmXvPkk0/iNa95DQDgxBNPbHjOddddB6BuByVDtJ6jrrneyvzT//uYWFdXl7C7DRs2NNSZ6+nuu+8WPwgyD2oxli1bBgC4+eabcfDgQQD5gxQ0LKsuwuBj2qXZOm2FxxxzDADgHe94B4CM1bruY6J/hhiuXr1amBPZop1bRypSoFbzJwYJ7SXUMnEch4aGZCxp/yV7ZH/95Cc/kT2F48Rrdu/enevfZhoG32/N+qZUykKxWL71oOf+AUDWDOcotRhApo155JFHAEDmI8ftdx3RkRhvQkJCQkJCGzHtGW+RwwN8n133UDItl8sirf/iF78AALz73e8GkEnxv/3tbyUpANkxJT964Vobka8tPkbpqqs9Xk3b2Fgeyyf76+joEGmOtsJnn3021/aQdyw/xzDlZgkQuru7c5IwvXVp25wxY0ZTe1etVhMpl3Yq2hI1y6UtitdYG6SWmkO+Ac3mlq0bkI2TZqN//Md/DKAe36rrRQl7zpw5or2woKfwH/zBH4gn7cMPP9xQpo5VjBkvX/v0d75rqtWqMCbOqR//+McAsvjOcrksTJdtpCZp/fr1ci3ZCO1ulr2FEsHEtsfVJv2dXrNveMMbAGQaCcZ56vFnX3N8X/e61wEAduzYAQB46KGH5H/6GLCdLg/qVjQTLhux7zkuNsk1xDUzPj4u/WDjXvm5Wq3mkqCwfZ2dnXId/WCKIKYvXNfYuH/+1t/fj7179wLI5qRmwfZ+y4q1z06MJqxVTMsXr8uYHqNucqmm7OZKVQIn26FDh2Sx0PlDZ4EC6oPEazi5OHHtBq/LcsEnFOjvbZtZj3POOUcWDifIBRdcACDbwLZu3SoTjapm1pnCRmdnp1c9auujEXJe86m9JiYmsGfPHgCZSo6T/aWXXgIAbNmyBddeey2ATJCwJ9vccMMNovajAwRVmFdddRUAYN68ebK523a5nIismrxZ+32g8MEy+ML52Mc+JnXkQueL6+6775a2sH+sExzn6gUXXIDbb78dQLZx6tzT/BwKDfO1K+Ss6LqWgg3Hh042OgEG28o1QqF1xYoVAOovNxtG5HPyc7XD1S7rvBRqF6HDZjinli5d2lB3/QyrpuX93LRf//rX44EHHmi4JlSHGKLQSparkGOQzUvf29ub6zt+5lhXq1XZQ9hPnJv79+/3Otw1M13YdsWsOdseu77nzZsn+x+dxri+tEDMdUkTEOco4XL2skjOVQkJCQkJCb8nmJaMV0s/PlWmvoaSiWUetVpNGBTZLFV2ZF/lclkcYF71qlc13E9QVQZkDkJW7aRZpE8SqlQqXikqJMmyDaecckrOSeyUU04BkKlTjj/+ePzgBz8AkKlibUKQycnJqLRuFiE1q08t2NnZKUybfcb+ZP1OO+20BtWVBtnxCSecIKoj/r3++usBZA4x99xzDzZt2gQgS0IROvM3xLKawcVcWNZb3vIWAHWGx9+o/mfo0/e//30AwOmnny5hD2T0lvWXy2X86Ec/ariGjEyr0IuomkMMzHdN6Fp+1kyP/UrHnIsvvhhA3cnqC1/4QkP9yaD085pph1zluz43u79Wq8mcpLOOddIrlUrC9sgEyYB57aWXXirjRM2ES83pq3soFKooe7T3s5/pQMU5t2fPHlmf9hxetlObyBYuXAggM7n19fV5tTCh9RUz/+y1rjbyN5oGzj33XDFl8Zqnn34aQKYh6+vrE/MO3wNbt25t6BdfHV1lt4LEeBMSEhISEtqIact4m7GRWq2WY1fW3jh37lxhH2SGtMEwcHrBggUSYG2fQ4b2ne98R+x2+vxdIMyoXO3S9fe1i9dRKiPL3rJlC04//XQAWWA/fyMOHz4sErhOWKDL1ycphaS3GOm62bX6uewrG1501llnCZuw485+X7BggTAmhgXwfrKsU089NZdggr9p5lGEGcbcw3lCNnDNNddIe8mKmASD2gj2RblcllAWy/pYxuzZs0Vapy2KZRJFbWSudvjmgv7MceEc4xjo+UQWcdFFFwHInBV57aOPPtpwAIS+P6RVabVdvvbpNIpMHsF5+Id/+Ie559h0pPqEHgBYs2aN7A++QzpaZUmtOmRZFkonP+4j69evl3A8e2KUtgNzbpNZck85fPhwbg+cijNcs/bY/zmnmFr2oosuEucqrj1qMrUGiSFvXEd0CGxW7pFCYrwJCQkJCQltxLRkvBoxkpGVsCjZXHrppZJ6kHp/2gDpUVsul8VuxqPKyI4pFc2ZM0e8N+3Zk6H6uL6PSV/H72gDpcfye9/7Xgkbov3F9s/BgwfFXkWPZ9o4WPaePXuEsVBypZ1HezjGsOIYWG9Jtov9TjYHZEyB9WIy84GBAWk7pVNK6Lzn2GOPFQ9T3ueaG0cqTMB6n9OOy7IHBwfFdkRva44J51a5XJYDN6wmgP21Y8cOzJs3D0A2lkVstKG662uL2FS5xsgQaTvct2+frBEmBqHNmtqH22+/XVgxxysUkVDEvmnb52JJ/Ms6jI2NCbvjGDC0kAzxqKOOEj8EO+4cp927d4uGhuNF1tWsbq7PrUJ765PR0eeB2iJGPGzcuFHs2lxPHMvTTjsNAHDyyScLq+d8ZpTH4cOHZbx5H8ss4kPh0ti45qE9dIJJWS688EIA9floQ9XoQc8x2bJlCz7/+c8DyGzV3Its8hD9/5FkvonxJiQkJCQktBHTlvH6vPlcNkMrLVPfv2rVKpHMvv3tbwPIbIa0VQwPD4vUQ7sHpXmywt/+9rfO1HGu+oWgbdehdlHyZL1oMzz5fxPt+54N1NkjvXy/+93vAoAkcSATfvjhh+V/SodF7DJFoJkL+9V6Lg8ODgrjpiaCEvlzzz0HALjkkkty3r72CLeVK1eKx/Ndd90FIB9o7/IsD7UrxnZtx5J22GOOOUZY+llnnQUgY0D0nuzp6RG2RW0M5yHrvm3bNmG6ReLaQ2jVxsbruTY416iFePrpp+VAdWqOOD6c15dccomwfN9RcjHeri7EjC37TieR4HiwfXfeeSeATDvz7ne/O/csjhttimNjY9JWexhGqD5FPZUJn9c5v+eaAjKPcq4dzqcDBw6I9oz7DceNxx7OmTNH9tEvfvGLAJBjuba82PYVGduOjg7pc7aDB4tQG1Eul2X90S7NON77778fQL3tLFfPgSNZ12aYli9erXawk0tvODZjChf8m970JgB1dexvf/tbAJka+cwzzwSQZXraunUrPvKRjzQ8h6AqateuXbkMO60OQrN2AdkE5mZwxhlnRD9/xowZolbiC5sqI6pRnnvuOTz++OMA8uohjalMNL0JsK32LFqq9TZs2CATn4kl6PhCB7MTTzxRxpDOcBSGWFZ/fz/OPfdcAMATTzwBIBt3ChiTk5Myzq2oMF338DsKM1u2bJG62zNO+YLi30qlgkcffRRANu5Wzf7QQw+JGtvWvVU0U+v5yuB1tq0M09u9e7dsimwz1yXH+53vfKe09Y477gCQzXGWOTk5KXPC5nGOrau91if0dnV1icDGcWE/UwhyJVnhGd3c6Hft2pULq7LjpQXRVgVZV9s09POZaYr3Ubj76U9/CqC+/umQSFXspZdeCqDxfF4KWDQNsD8mJiZESOb+YvfRmHbqfokB95Df/OY3Ug/+Zf5l1odzk9csWrRIhA0rILlyhv8ukFTNCQkJCQkJbcS0ZLyuE2RcTjJUNTJnKk9zIYur1Wq48sorAWROElT1UWWxZMkSkfRsWWRU559/fi7hhP3cqlTnYsBk1WSs+izQGLD9VG8SfM4111zTEAIB5FWyRRFiYHQWYvnM0XzZZZcBqEvaN910E4DMEYISLaXuTZs2STo/6xBBdHZ2irMFtRif+MQnAGQscnJyMifVxjjuhb5nn1GL8swzzwCosz8yDmpMmD+b7XrqqadE3UXpmxI6kzFMTEx4E8m0Uvdmv1mnIc2g+D/XD8dL149aJpu//PLLLwdQ76ePfvSjADKnGK7L73znO1K2VSuGzCFFki/Y7yqVimhKqJ5kvagh088nW2ddqY4+cOCAsD0X0/WVH6PeDLXDOi9qp6ZXv/rVADKnKjr1ce2dcsopuZOZuG9okxD3FOa0ZljcunXrnOk1W4HtK5e5kXOBewo1W2yXXt80AZDd6npazWVoXRUZr1gkxpuQkJCQkNBGTEvGqxmJPaGHUtjMmTNFUtMGfo1KpSJhQDS+M1ickvq6devwl3/5lwAyRkZJmyxp1apV+MlPfgIgLyG5nFx8Ep9OK+l7DpA5gH3lK18BkCUioHORvs/FoGlzoU3N2pTmzp2LSy65BECW2MEGzes0cVNBd3e3OLKRBZDdkNUODg5i8eLFAIB7770XQMY4yC5eeOEFYedXXHEFgEySpaTOeuv7KBGz7OOPPz53tq0LMc5Htu/5XLZv586dYqe16TJpw964caM4kJF1kTmzf4aHh0XCDzmwtJJognDNX84JnVzeOjTa+nR0dMh3DKFiKB/X0/XXXy9z4vWvfz2ALDxl9erVAOr+FbQ9cg3rMizsgSKhNrvYDZktf6PtkBqKWi07/IEOgHTs0Qde6INIgMaUnq6y9Xeh1Iou2HbZs3LnzJkjDJV7JW3Y9APp7++X/mUaU5uWtKenp8GPAmjUHLLe3J9YfqgNLie4ZuFs5XJZ2kgNEh2nOCZ6L+D64bzjHrB3717Z6/XhHmyPrY/FkdgXE+NNSEhISEhoI6Yl49Vu477wgAULFuS8JbWnHVCXXmhvoz2G0g//nnDCCeJZydRilJootdL1HvDbBmLDH3zSnLbPUKqkN7K1obBtQD7xxc033yzX00ZMdkF0dHRIILyV3kIJDGLaY4PmJycnxdZij16jFmJoaEi8WmmLIuunZqKjo0O8zP/zP/8TQBY8r6VcgsyZzyGjHh4ejkqC4juOLQRK2DpUwWpqGEajU0ayX8jwOH85tjNmzMjZS2M8skPHHbrus+kgWT77a2xsLJc20R5lqOcvbdbbtm0DkDF67fXKuUlGz3WpmZjVKrnmY2i8bJt13wP1ceM1tG9a+2CpVJI1Rq0FQ470UaP22UVChWL8K1zRAnbNcf6cccYZ0r+sI5kqWem6deskwoFr7VOf+hQA4HOf+xwA5HxggGyOlEolmQM2JCc010L7pm9P6unpkTlBnx1qmRgqdODAARkDttEeyTlv3jx5Z1ADEHMsYEqgkZCQkJCQ8HuKacl4td3ISnNkB8cee6wwJ8aWUfKihNTV1SXSNlkrA8l1WjQ+0yZmIFvesmVLTloOSd8+yUgfVu5jipVKRewXH/7whxvapUHP3o0bNza0+aWXXsI73vEOAPmk+8Thw4dx6623On8LSaJFbFC8tqenRyRhsgdrex4cHBSbE6VUxt+SzZZKJbEhUYpnP2lQuqVnMLUYlJS116PVNmj4xidGwxGK9bXJQ2q1mhxmwcQFBBOmbN68OZckxgU7t0Kp+lx15LPJ3K0dbN++fTKGbIdND+jy/uV3tJe6YiU5n8855xwA9fXK+znePruybo/LE9aOj9bGsL2sG+chx0KvPTJ12hWtJkez0FYSnBS5NsSkuS4WLlwobbVRDLS/Dw8PSwwzx5L3s70dHR0Nx5/qv0uXLhX7vD5UIRYxmhvOl/nz54tPAA+/Yb0efPBBAPV1bo/XpOaF3ucnn3yypG6977775D4gey+4bLxHkgFPyxcvkN/oOJg6nyg7iy9g+1IcHh4WR5VPfvKTADL1pN6UuICefPJJANl5r1THzp49W1SWvhdujHOVKzEIwbp3dHSIWtSl4rHXc3KxX/7iL/5CQiJ8m/SWLVvkpcwNL9SeVtznXSprvlRtgoXnn39eNgK+aLnhsQ+OPvpoaStVskyuocGxpEMPHZe0cMUNxjoKheDqnxhVPOG7tru7W3Ia08HnscceA5Al0KhUKk0dT1qFa97qU3uAbCy0upsvP9t3XV1dshlyvPgchv25wE2ea1ALQ/blPtVwIo4759aCBQvECY8OUzYJhH4W5y+v0eYeXx1d9bNhQDFjGbqGY0GBbWxsDLfccguA7MXClw/Xfblclv6gkEoTnnZa5VrlS40modtvv132Ht9JU622y875v/qrvxLBTBMNIBPmK5VKTn3MhDtvf/vbAdTHm3PcnjZXVD3eKpKqOSEhISEhoY2YlozXJf1ohykAuOeee0TqYUIGslvNtij9afd5IGNfa9asETXM7bff3vAbJciZM2c2zSkbK9X5rqfUefDgQZG+fIkigEzKJtvn83p6erzJR8gmPvOZz4hqjeyqSBq+IqhWqzJ27NfbbrsNQMboSqWSONWQxdIRh5JsX1+fOH/Q6cy2s1KpCHOmwwglW9ZhYGBA/i8ikYdQxAnNpfZk6AoldbITqnjHx8dF3epSi/O5rTANXXcyOc57al6oYTj66KNFhU9HFevIMnPmTHGCY9/TyY/P0eA8/uEPf9jQ9o6ODlnPnBtEqF2+cD39HfuV62tiYkKcqkKqfPY9zTTMCc/0izpcMAZ2LFsNb7OmBSYw2bZtmzBCagypheCesmvXLtlTuXY4XvoMa4J7E8vYt2+fzBsyZJ+TVbN28X+Wy/vIck866aScqYbtYEIQIEs/apNtcN1Xq1VJdco9yBcKpZGcqxISEhISEn5PMS0ZL5BJf1aao/R72mmniUs5r6W0QlY7e/bsXAo3XkNnqzvuuEMkdBuyoctsdo6uRsjexOfYRA+Uxs466yy8853vbGiHC5T0KDVbu6muPx2wvvrVrwKos2pKtz4GX6RdulwX42Dfs450dvjZz34GoJ6GjpoJSqd0mCNrmjlzpjBdK4mzzJdeeklCwyjBWsZbqVRyY1k0jKMVWEcujk2lUsGzzz4LoH66EpAxTYYezZo1K8h0ffUqGtZm7bZ0MNJhRtQuUWPCeUi2c8wxx8gYsl9dzoGsL0+7YfgXNRyTk5PCSO0eUHQe2r7hnCC7Hh4eFrtmKEk+y2Ua0HvuuaehLO1cZe8JoYjN0OWwR1i79PDwsCTOsGuQtt5TTz1VDmPh2eWuNJnsezoj0YdiwYIFEl7lOsvW1z7rhKbDtfgcalXe/OY3A3Dvh5xbTBQSAtt+6NAhcQgjO6cPj95bjoQt14fEeBMSEhISEtqIact4bRo1slHaukqlkjA5pnOkxzJ1/P39/WK/pSRDSY92xpdffrkpm9UhCbH2Chc6OjpyXqCU8sgSli5dKnYMeuhSwtbSO203vJZS/MDAgGgFeB4vE4iT2ff19YlUaVPt+WyR+hoXrF3RlRSAbbWsb+3atdJGji/ZLUNtjjnmGGEotIXaMJO7775bbDaEtedOTk5K3SgBW02HxlSlXp+3ONuwZMkS8SalvZ52VHrd7t271+t96WJ2rbJz3sc1s3btWgBZ+MzQ0JAwDNaD85ZMdebMmU7boAVt8LSPsq70Pt+3b59oRliWTWHpgqtfrPaMc5/XzJ07V/qcTN4F7h1cT2RL2u7oCzvT9WJ9XKFlRWDXqp3XfX19ojmivZx15tpZtmyZMFzOSVsvIPMQZjiSbk+zxBeudrmSovB/zh/ONR6JuXjxYplnrYAM+rHHHhNtEkEbuN7jfF7MU9V+AdP0xeuKkdQHHQP13K5U0XEh0UmFL6Genidq+Z8AACAASURBVB4ZKN7HuF4uIr1h+dRMR8qoHmoXB3zHjh2S+5XqL06YkZERmTD2xct2Pvvss7JIqD6xYQ8dHR3eRXGkHI5CC9MKOiMjIxIzzQXAMCD2z9jYmDhecXPmC4G5qTs6OmQu2HABvVnbsLOQqjnGkcfClV2If3lW9Fvf+lYA9Xh0ttnGMLN9rj4MhX+FEAp3sZnfGGKjy9BOiUCmYuYLeP78+TLP+BvHgmU+8MADomKmMEgVNue1DnPxmTFccPWLjYG2Tjejo6PibLNixQpnmdu2bcPf/d3fAcj2DvaTL1e8vl8TCfuinGoYEcE5zvWhc6Dz5WqvPf744+VF58tRsHHjRskbzxBLqn0nJiZy18ecJmXHslQqSfm8n2U8/PDDAOrhaD5zg2tOsI0kZsxeODIyIupxG3PsEjqOpFMVkVTNCQkJCQkJbcS0ZLwuWPXS2NhYLgcnQdVEqVQSJmWzU+n8ojb/LFFUEm12vWYu2rkGyNQrzzzzDDZs2AAAuOuuuwBkaqKRkZHcCThUyZIJj4yMiLROid6qxCqVipRnw6RC7YlhGkUcX/S9ZEmURK1DzujoqNTfqjIpte7bt0+Yv1Uxa9ZD1XKMsw4RCk/R7fBdw/YwQQjL3rt3rzh6kOUzCw81On19fXJ/UTWr7xpX3V3sTH/WfUctA/P68tzXWbNmiSqW991www0Nn7/xjW+IGYUMk8/TOcg5zrYeMQlP9HhZjQbL0JmauI6o3uY6I1v61a9+1ZDQBMjWpQ5BaaYFcZleQuYde78ux3c9EwCNjIzIPsExoVaQjlSjo6OiEWN/XH/99QAyjdlnP/tZYflMRsF12tnZKf3pY8wx60trJux91OBdd911uPTSSwFkoU9cO5s2bQJQDwllvf/pn/4JQDamNEGOj4+LUyDH2SaJaUXTVQSJ8SYkJCQkJLQR057xWklRS7v8zZ6+QycBIC8l2zyvLp2+fX4MC4yRgqrVas6xgp/JSjs6OkQCpVRGSXTGjBkimdHeyZALPofMXt9n2xhz+pOrzaG0d772x9gndR05ltb+Svbuqg//zp49W/qDWgybY1aHLejvjgRcjjXWoYcJS6iJeeaZZ4Sh2FAztrlWq3k1E6HwklAdXYixedtkCfyrWRbrzTp/4xvfaLh2YGBA/qfN0JapQ2Mswy1y6pLL6czaNLu7u8UhkUycdkUm9hgZGZEQNa4d17mzMQ6WRZhgES2TdSKbnJyUdnFdhPqd4/XpT38aQOOapL2VDo66nc3y18doXjo6OuR/7lscJ72WGc5ELRf3weXLlwOopwbmOFG7xD2fc7Srq0u+47Ndp0m1ogGNRWK8CQkJCQkJbcS0ZLwuKd5lB7ESiMs9P8aDsNk1LikoxN5CCTTsffyr7a+2zS4btL0vxCLtPUDzM041UwhpBZppADTriwlZKmIrdt1rNSOW+er2uLQozRCjEdB1t/ZEsiR6LO/Zs6fhXFgg8+bU/RXSKPCamCQvzUIkXAixAH0KFVDvZ6tRoBZGnwZkNU+W0WvvX6sJKHqalG99a3vyt771LQDAJZdcAiBLiaiTQjRjci52TbjWg6uuFkXGy+Vd7NOQ6PGydk3XgQG+gxxCPg+hcKIQe7RhY3odWC2V3f9mzpyZ8+Gwz9Vzy1fX0Jo7EhqyxHgTEhISEhLaiGnJeDWK2A1cBxnE2GRDUpyvrFagk6jbMnTdbR3JDjo7O3PSvssz0iYdcTEhH0tzeY4WsW2E2KNPWxCSLm29XfXRLInl++y31Wq16XiHyi4SQ6pZKG1rjFMlA+7r68ul+7Rlufp0KpoX3/W+Z4euIdgeIB85QNaomQjbyu+sVkfPY1tmDDsPzUOWzfjizs5OsV0yksAmVenp6cl9Z8epFW2a6zkhxIyJLsvuF/xNs0mbTpJlaLbv01bptWvrFjMG+lo7dvyrPfpZb+sbQ0xMTOTqaL2lXf3RyhhM5b1QOpIG45YrUSr931ciISEhISFhCqjValFv46RqTkhISEhIaCPSizchISEhIaGNSC/ehISEhISENmJaOle99a1vbSkZgMvo3SwIWjt62DN7tZHenmRjnZp0yA3LWL16dUNZV155pTMNn6/urUA7GNnzOXXqSO1ar8vVDhG+sB3dLib7Dzk8NQufmGqbY5yBXGEP9j7drquuugpA5thmQ6v0vPGVpZMlEAz859/Dhw9LPRjwz3Nwmd5v//794mBiU2HqeWgTKLja5Rsv/V0roTlHGtoBsEi7poqptMvlJBhKdOJzFvvBD34g/3MeWscuV+iSK7zSOkuG1lrMAQSusprtsaVSqaFNAHD11VcDyPakarUqe2wo7LAVJyiXw6V10nLtSb56aGcyJlgpisR4ExISEhIS2ohpyXhdiJFwWjnerbOzM5cuzBWIbgPIXSE6ofJtHVpNYBB6JkHJkYnMXcd++RJoWAlQ/18k0QSh+yQUptWMBWu21UpSgaKs2heC4Bp/m3hAh2qwzznHmJSd9RkaGhL2y8TvTK7B8RscHBRmYNuhx9TFypvBlYDDN04h5uEKDbMhQ6655QudciWaONIo8nwXwww9M3St737XWo4Jz7Owh0sA/kQ7mv3xGhviFSo7FJYZ0h64wpx8e2sMQmPC/uBhCb29vd666SQtvj0y5hzvZkiMNyEhISEhoY2YtozXFwRNuOxnFrF2CEp6TNXHz0wsrgO3yU5smjWXPSWmXSEWGJNogmXR9letVhuOPASABQsWAMgOIHjxxRdzbNimKaxUKsF0lL52xVzTCpNxsWOXhqJZ/7qYswtWuiU0E7YMzqag1AdecHzIfLdv3w4AOOecc2RO8beTTjoJQHbs3OOPPy7SOuvD52obdLM0oBq2zqG1Ero/hgVaBjZr1iyptz3aU6crtLa5VuoTkzTB9VsrcCWTCGlIYspqZmd0/UZ0dnbm7rcsbXx8XPYLqzHRc8On+XHVMQZ6jfBe135n4Wurro9NR8o5xb+zZ8+W//fv3w8gW1c8UrCvry+3x3OdHgm/hmn54g0NQmjRuF5iVmVo1SmzZs2Sszg5GI888giALMfscccdJ///8pe/BJBlvQm9FH1t89Wf38eoovg/X6b6VKLFixcDyM7q5QkePPN03bp1ucnJCWhPetJlFd3EfIjZ8EJjaeF6efB/e1ZojMAWqnNITWod7iqVSs5Rj/X5zGc+A6B+OhFfsBSQzjnnHADAV77yFbnXZuihypoCk65XEZNAzMu5yHjp761zH/ti+/btcvIWHco4fymQ9Pf3T8kJL0aoKgKXwGYFg0qlksu6xLnJ8dJqzlaEVZeQadulc1vrrHe6XhQEFy9ejC1btgDI9gme0KRPx4qpo0WrLyifCUkLAKH9gnOJxInt4r44Ojoq5xNzH6fwwTm7fft2yTZH+PJVt4Kkak5ISEhISGgjpiXjdYWgEDHMw6Xy5W9U2ZHZveY1r8Gll14KADjjjDMA5ENIXn75ZTnLkRLSxo0bAeQdmfR9rro3k9hCKinNqqm+o1RKtrRgwQK84hWvAJBJeKwzz+Y877zz8OijjwKos18AePbZZxvK6u7uzjnFhJw/YlRhtl36d1+fueaBddrR7N/mqbZSamhuNauj/d5nDtH9RfXUBRdcAAB4z3veAwBYuHAhAGDlypXyvCuvvLKhzsceeywA4J577sG2bdsAZGzE5jbu6ury5hJ2fdeqBsnCftfR0ZHLo8s5evLJJwOon5f9yle+EkB2Rirb/D//8z8A6toZy1xCiGFCts4xbdawbJYge5w7d66MK1WW/Pvyyy9L2c3Orw3VJ2YMdN5sgtoGjgn7//3vf7+czXv//fcDAJ577jkAaDgn2qdOjpljoXYVVfu7mD+Qjcng4KBo+o4//ngA9T0eyNbT4OCgnD7FttKhkTm7x8bG5F3B+6gVtG1oBYnxJiQkJCQktBHTkvGGQglipEPtOEIWQOcNssAPfehDAOpSOHX5NpEGMTAwIHaCyy67DADw/PPPAwB2796dq4fPHT42RMLn+KKlZbJySmFsX3d3t0jZtj5z584FUGfAZMhkw7S1Pf300/J8X5INV11DdpkYNLte950Nfl+2bBkAYM6cOdIPlFY5/jwVaP/+/cEwCQtfghNtY+PzyCbILm688Ua88Y1vBJD1c0xZ/Pva174WAHD22Wdj7dq1AIC777674Z6dO3dKfUKaCcKOl6s9PjYS439QrVZFm8R+efWrXw0AeNe73gWg7lfB68nOyDyI1atXyxgeKYen0HNCznhAfUw47zinyMgvv/xyAMCKFSukzWSL9957LwDgySefBFDXOsWwPVsv155i77P+K+Pj45g/fz6AbN9j4orzzjtPnktnPu5xf/u3fwsg78ei/3dp4abqNOlrl8vGa/cmjs3SpUvFR+JNb3oTAOTmY6lUwkUXXQQAWL58OYBsP6Vmqbu7W3x9qGWymoqpzMvEeBMSEhISEtqIacl4Ab/UE2PbJcrlskgy1Pf//d//PQDgxBNP9JZpn1cul4VF0jOY7MbFBmJYnoud298sJicn5TqyAWv/euGFF/CTn/wEAMR2vXTpUgDA6aefDqDuMUqpmP3Czzt27ABQl9gpKVpJOtQeItQuFzu2NhsbYN/V1SUMg4zyDW94AwBgyZIlAIBNmzbJ/WeddRaATCImA5mYmBD7uK/uuo4+73rdLhsaQ23C4OCgeEuGoOcZkD9LWHt0017K9uh7izD5kO3Qp70IPUf3F+cmPa5PPfVUABlDDNntXWn9poIQSydcbedc59++vj6x39Lmx/acffbZAOoaJXovc7+gRorfay1cjJ099Jtlwba/Ojs7ZZ+i5uXcc8/N3cu5tWnTJmmrLbuV6IUidddlWM2N1rjZZ3HOH3300QCA+fPny/yj3ZZaMI5bV1eXzDMbOsV0rX/yJ38ifjzcY21YW7LxJiQkJCQk/J5g2jJeH+Owv7uu0fdSyvnXf/1XAJlkRFSrVfFIpnRKVkuMjY1Jwvof/ehHADJJi1JmX19f0/hJl8Tmqru9hs+dO3duzg5t7WClUkkY3RNPPAEA2LBhQ0MZZ511lnj6nXnmmQ3Po01o165dOXbdCqOKkZa17YZtZZwnWXp3d7fYnGi7IZMnAz548KDUlcyQY8txP3DgQM7TuYjk6moX/86ePRtAY1pI37PZzrvvvhuPPfYYgHpMLwB8+MMflroStD2x7vysk3YUkcitJ7aua4yt2ELPX9aRDJF/NcuhbZfepUyXSc/a/fv3S92mwuRt3VzXuGyYrB/thVdffTXmzZsHINNM0FOZa2fXrl0Sh0ybPG27WpthmV2r3r/NPLknJyexatUqAJkt086RiYkJfO1rXwNQ957X7WJ8uWbSIa/mUL/6oLVpdj1aVqy9q3koBn0DuM6ff/55qSO9tcnyuS+eeeaZ4u/Cfcb6V8ydO1fmHecC1zf3m6kw3mn74o0JL7Gbh3UCGhkZERULHQcs7r//fhm8X/ziFwCyjqYKadmyZfJsbv6+wYiFz5HF1S6GpCxcuFDUmHzBUDXMNlSr1Vw4AevGF8K9996LE044AQBw/vnnA8jUZlQzHXfccaKisaErIYScLyz0uHHCM+SEziBUJ4+Ojko9Fi1a1FBXtuvxxx+XdvElRpUf+2lycjIqExIR02ZuqlRJcSNesmRJTv1HRw2e1rJ69WoREhgG8e///u8AMqFo2bJlEupGNSXVghzbgYEBrwrTBVcYWDPnqhiUSiURGNasWQMA+NM//dOG54yNjeHmm28GkI0Pw9p4r87A1orKOUZ9G3IaZN9fcsklAOoqSI4zE07wL+duf3+/vHg3b97cUHeq3bW5qJWNOzSmVqCcN28errnmGgB5h1GumTvuuEPGgsIpTQPaSdP3MmwVXMs6+YgPmgBwH2fIJPv1Zz/7GYD6WmRIEMGkR+yDarUq+8qNN94IALlkGUBmTqSgTyGKL3Cb1KYIkqo5ISEhISGhjZiWjFcnOfA5IGgJ3apuKD0NDAzguuuua7iGIAP6+te/LiFBVMcwPIVqpsHBQZF2mXiCn/WpMc3czGPCMXRKQ16r0w7S+E9mQFb64osvyrVWiqSkR+as+5dSLZ9H9jUyMpJLgRgT0lAkTIV/BwcHRY1HidaqkScnJ8UhjkyIDI8S7vDwsDB/l/MbUJe0Q2YLwmc2cLWLEjD7i+x04cKFOWedz33ucwAyxnHcccdJnzM0iIyeY3322WcLQ+BcdTEG35rRsGPq6oMYtki4+pJ1YhgRzT3EyMiIhK0xcQvHi+2q1WpBRtoMRcIO9f+sO+ch18z9998vpqjHH3+8oe6vetWrANQ1FtQ2cd7aueFa30XaE3IuteeJ61S3dkx/+tOfAgC+973vCdPlGqRTJe9xmWc0mu1pLlitgw7XstfoMD2qjWmCYt2pVn7iiSdyCZDYHn7u7++X/c5nxhgfH5f95r777gOQzWPumTpNb1EkxpuQkJCQkNBGTEvG62Kz+jfCshJKOjSY33jjjWKDtdCSLZ0JqPenNKXtIpSM+DwbxqPr7LNXaAkwJmSD39GOMTAwIG2msxdd3m36RN8zeQ3raNOgUYrr7e0VVmbPmQ3VO4ZJEWTQS5YsEWZBJkQWS8Zw1FFHSdC/fQ77Z2JiQu5zhUTYcn2hS/oaH8NzzVFKxB/96Edz99Jhj+NEe25XV5ckyqCDCO34nMednZ0NqeyA7AQj9le1WvWepORqV4zNrogjjQ6/IVt83/veByALWePz+vr6ZN7ZhPyu83h9zoYhhNhkjH8FfQTYrp07d8ocJeNhf9N57Oijj5YQFrI0zk2XU14MfOPkeg73P66ZZcuW5a7hPGLIYW9vr+xpTGtqHTYnJyelzaG+swhpTlxrzuecxX5+4xvfmLPJckyo6XrppZckGRDHjvOFYzE4OCh7mo/xHnXUUbIO6ftD/xP6+eg0wUWRGG9CQkJCQkIbMW0ZLxFjJ7DXkClcfPHFuXso/VDiq1arDSErQCbRkBVv375dwh6YetA+T0voU2lXrVZr8JIEMqlu9+7d4ilKW5/LQ7OZN+qsWbMkfIOJGJiEgn1w7LHHSsgKJeAYdhQzXvxLqXVkZES8QWmzpkTM+qxatUokc47Lrl27AAC33HILgHoYRDMPbG07DLUnxl5vGTOlcTIgIGOoNgyNLHD58uUStmHTgGqvXo4XQz44bnxetVrNMcGQhiLGjhtjCyc4R/v7+8WvgnPK+ircdttt4pPgO+NU928rcGl+QmvOaqv4l7bDAwcOiDaImg1qHcgiN2/eLOtSnyscqlszxKwr/sZ1wQMQFi5cmDt3m57YfO6hQ4ckEoA+BTbt5fj4uNdjPhS1YOvnapc+iMX6kvAz6/fXf/3XsmfwmXYfK5VKuaNArZ1779694rkdinCgr8aFF14IIPOjsWFGrSAx3oSEhISEhDZi2jLeZlKUvoaSByWbD3zgAwDcaf1uvfVWAMAXvvAFAHWpkLZdSj+0z1CSfeKJJyQZhY3VpMQeI/1oNqu/s7BpDsnA9+3bl0s0YW0UpVLJ6w3Kew8ePChefbSN0NZGD0DNlrSnaahtusyQpM/66fR6ZNWWKXDcTjzxRKkTx4BMl16H5XJZtB2+BPshW3pMu1z3sT0//vGPAWRerp2dneIFz+PurrrqKgAZA+ns7JSYXAb1k+nyuTt37pT7yVisVmbGjBktSeCu8WolcYbWlDAqgGC9eMDD1772NWkj7XE66UiobrHQ9zZLNOHyG6HmRZfNuUh7PbUW1Lzs3r07l4rQtS5i4oh9dQy1i/3MuTI0NCTey1wXZPDUsmzdulX2TXoIc4/SiWn4Hcc5ZGf31VmDfekaY+sJzlwD3d3dDXsYAHzyk58E0Ki5497GOnO/0OlbWQbrwX2cqFQqshfxYJxvfvObALL3w1RSmk7LF6/LccC1+NiR7AiqSpinF8g659Of/jQA4Ne//jWALEi8XC5LYDTPSuWiYdjAHXfckXPc4mdO9qKqZvudK5yIA2/PxdV1bCWzjf7MCci/bM++fftyQkKMI0XoN7vhsKyuri55kXAsuXjo8LFo0SL5jQH/zPhElXxXV1fUCzfmZdwsq5DuZ46TDcIvlUriOMWMYGwD1ea9vb2ykTMJwB/90R81PHd8fFz6zDqOEOPj417nNRdaGUu9Ljn/uDlzvObNmycCBOvMF8Ftt90GoDG8yPXC9dUhximp1dAjq+bUv9nn8juGJLIvent7pc0xa69Ie2L6wzoMPfXUU+K0xtPUOF40Z5x55pmSBYrhM3yJcX8dGBjIheiE6mG/D92j1xn3aq4RzpMrrrgCQL2fOV+YGYzrnULQwYMHc2YDu9/MnDkzd/Y6+4739vb2igD5sY99rOFaezpaK0iq5oSEhISEhDZiWjJejRjJkSzghhtuANAoiVC18qUvfQkA8LrXva7hnn379gkrIQuhNPi9730PQN1ph7/5JNCi6nFXO0LfAfEB6VbSdN1nk43YcJeRkZHcKTkxKr+Qatb3m3ZwoMqHUveb3/xmuYZ1/MY3vgEgC/jnPaVSyctYdNkxoRC+0AYfM9L10b/xfzIP3s/Phw4dEocpqsRWr14NAFi5ciWARlUfNQB04mE4UaVSEeZPFGlfUTZp1W1kE6tWrZLryIJ5vivDM7q7u72swRV20wqL9dU79nc73tVqNZeQhloifh4dHW1alkubN9X1Ze/Xc5SMkGyN/U0N0+zZs0WtTlZMR0dqaQ4cOCC/cY66zuqNcdwjQqkiWVfOde69OlczVeVve9vbAAA///nPAdTXEzVPth563Ji/nv1BR1ytjuZ7gA5cZNXcb0KntTVDYrwJCQkJCQltxLRlvD7GoUF9P20Aixcvzl3DYP4vfvGLALJ0kEyaMXv2bEmITkmGNl86HI2NjYm9IcZxINQmHxvl9319fSKlthpOYR0fKF26HCIoteuTcHhPK5K467O17VqmcPbZZ0t6QbJGjqVOgELnj5hzglvRGrju9/ka6LFkHa1TEZBPLUpNiw6HsMlP+JkM/1WvepWENFBCp52bzlajo6M5xtuKk5RusytxhQ4bAjKGwFR+dB4DMgZlyyiXy00dnlzfxay1mPCdmDIt+vr6pK10tqFNlL4g9913n7esVp3XfPeEnDJdc9c6SGoHR4a60e7JVLkMi3vuuedy94XaEzNOVuOhncXof8MDHnQKS7JZ1pGaMWo2y+Vy7hxeG2K4YsUKcXqkz86KFSsarqnVajLHue9wv5lKGBGRGG9CQkJCQkIbMS0Zb8gOp78ni2BKr/e+970AGj1+eT2lVDI76vhvu+02fPaznwWQMV4+l2zloosukmQSNszFZatoxcNXPyfkNdeMhWo7J//a4HcX87ZHXXV2dgZtxLH1cnmD0rOS9VuxYoUE/TO0gfXR4Phce+21AIDvfve7uTKKaiBcddZ1sx7lrudT6v6Xf/kXAMBnPvMZAPXwINbxv/7rvwAA//Ef/9HQlvXr10tgPg9HYIgX7U76HGa7Lqj1OfXUU0XSjwmBsn0QgssOR7b3rne9C0B2jF5XV5fMoe9///sAMjs905zGrI9QGFCrKGLHZtk67IkMkEcFcm48+OCDAIA9e/aIR7dvvEJMtUgbQnM2BGruaK/s6+uTwx64N/IaagvPPfdcmQMMnbIpJEOI8YSu1WqyBzJhhusQAttXrCPLOO+88/DQQw8ByGvzyG6XLVsmWorbb78dQKY11QewcFzJrulP0aomUiMx3oSEhISEhDZiWjJel+efC5TwLrroIu81lEqZ3IBHr337298GUPfCtOyK9rQ///M/B1C33diAbxsrFuPVXKvljzrjc2mH0Me76fvY3hDT5bW0ndLGoY8DJGxKRn522YOLMI7QtTq9IdB4iLu127pA2zelVWu3irHvueBiCj4W4rKFEvQCZVrRzs5O8cCmJE0WyH5/8MEHxVOUcaEsgykXdZ9wnOiHQHZCL2d9f8wxjrot9jfr1X7w4EFZT/RUps1a9wVt09QS0VdCa6J8nrjtYLkxGgFeQ/b+wgsviJc5bX9cu2SMRx11lNefwuVVH6pjM8QyTZZFL3racemPsH37djz11FMAIBoTamk+8pGPAKgzfNo5v/71rzeU7xpLW8cYzUt3d7ektyTTtb4P2rOc/ctraBfesmWLjBm1QQQPtF+wYAHe//73AwC++tWvAsjGkn937dolPgr0o7B2bt8BCzGYli9eF1ybCV8onEQuN31uggzZ4KAwtOFv/uZvGk4hArJNkaqxJ554Qq73ne6iVSW+jCZ60fE+m+mmr69PXpicBK6Bti9wHcTPF5QuV5ep/+dz7POKbNr6N9cGatXqrB8X8+DgYK4edkzK5TIeeeQRAI15WXVZtVo+M1io7jHqP1/oh/6eZTIsjTl8BwYGZKP6t3/7NwCZuoobxbx582Qec6Ez85U9x1bX9Y1vfCOAehYooO7wQeGFiMmsE1LT27zFHR0dcuKQ64VLcDO081gLEM3yZYcEnFZNHzEOkfaFSUeavXv3igChM4rp582aNSvnGOkKsWkmdMQglpxwHbHO1ow2OTkpY0CVLNW33PNmzZola44565msKMbME1pf1qQDZGvDvth0Pmf+pVMfs9ft3LkzZybgqWbagZNzmmvV1mNoaEjazO+s6jvlak5ISEhISPg9wbRnvFaNqJkIpTaq+FwSOwO9yUasaoKGfA0GTlP10tvbG+UsUUQSt047dFZZuHCh5IWmAwNVshMTE7lcqdZZYuvWrfJs3zm6nZ2dOcZN6a1VpluEuTD8hqFDzz33nLSHUjbvY70efvhhUa9yTDlOetyb5b/VTCF0bZFwIo4Jg/p1+ANZPdNA8vxkbQ5YunQpgOwc6Ouvvx6Au0/JIpkuk6ygs7Mzp5qLYfmhsWX5DOGYM2eOsHFf/x46dEhYPtkV568NdwLyDDOkGi6ComYHX3uojTjuuOOE0n4OpQAACwpJREFUXVlVKFWkExMTQRWzrx5FnBhd+01I1cv1YzVrzEN/+PBhUclyHvJ0KZ0CVbP6ZnVtxcGxs7NTVMHsZ3umttaeEdwjdXpLto1749vf/nYA2V5fq9VkHbEsrWIG6vuNzfHMsbWayFaQGG9CQkJCQkIbMe0ZL2ElnWq1mgvjYFiQPsiAEh+lKUpYlH70c3ntxz/+cQCZ08SSJUtEsrKSnraVWlYe0w5KoGRNCxYsEEZHpwc6q4yMjIgNiZI42SPZBO1QQCadkvGyX4CMjfiSdej0bLHhH75rrSMEx40OH1u3bhXbJ+tPjQTHYP369TI+DLuJCVNw/V7Ethbj7EM/gi9/+csAsnCi+fPnC7OlUwsdpihF12o1GR+WxfHXoPPUt771LQDZwQNaU8B+tXXXsHPTanI0WC+GO82ZM0cYvAXn0Ze+9CWsW7euoSxqY8gydHkxcyuUGKIIQrZi3xzQh4hwzKgJ42lL+rzqInWLORe6CFzaDGvbpR8BNSV79uyR/YUaKM5Rbfv94Q9/CCA7gEbvM81CP2O0KqVSSezHnG/ULGjHS5dTFpAl3DnllFPkempC7X5x6NAhcXLk37e85S0Asv1mw4YNUhb3TbbZrtdWkBhvQkJCQkJCGzFtGa/LGxBo9PBlQLs+Fk7f09fXh5NPPrnhfjJFHUJEaZBnV1Kioc2Oun79bKJIILv2fGZdaS8gox4eHsby5csbyqdUNjY2JnWjrY3X0iNxzZo1ObvtaaedBiBjxzt27JA22WQb1ru4GWIYJp9NtnT22WcDyCTsCy+8UBKRM5Ubj2/kvb29vdIuhqm4Qo+aMamY0AaNGNs1Gd0zzzwDIJOatf8A55099zMGL7/8Mj760Y8CyOza7DvOn5dffjnXjlAClhimyTVCG+3hw4dznqacJwxBWbNmjXjFsm6cazGevbYOzerqq7tGTAieS6MGZLbQJUuWCAPj+JKhuRL2+OoTalfMmDRrk4WdA/aQhFNPPVXG1Cax4V6zYcMGGUt71m2oTqH22HDGrq4u6WseTsPkLKxPtVrNJbKh1uzyyy+X5/IaG27IPfaxxx6TECHu/dReuNpjNUlHQkORGG9CQkJCQkIbMS0ZryvInJ8pxfT39wuDo9REWwsZcLVaFSmK31mJ//nnn5eE8zwOywZeT05OepM1uBhESMK2sZEE6/7iiy+KbZdSGRnHkiVLxDub0inZBe1OV199tdhj2GYyMh4MMTw8LPZWG/Dvaoe1tWnEMEyOD6Vs2kzI6Ldv347Nmzc3lMH+pnRZLpdz6TV95em/Md6XMTZeC23Po9RMZkev9DPOOKPBru6rO8uwhz3w86233irz2MYoas93O8dj4nhd48f/yXI4/xYsWCBrg0yDtnnannt7e3Pe1bYsX7n2Wh8jPFLxrqG2c66xneeff75cw3SzZEJME2mf1aw+ReaqRRF2DGRzlL4C3Dd6enpkjVGTxJSlfM6PfvQjmUs2CY6us9WahdqlEwYB9blGNs26ch1x33jhhRckZ4P1eNZ1sD4lHC8etzk+Pi52bXvQim2D/k57YOu6t4Jp+eINqaLY2PHxcXmRcOJTVUyV5lNPPSXqVhrfOeEYcP3II49Ip1tnJO2C73MUCAX6W7jCXjgB6XiyadMmCTlhPVi/rq4urFq1CkDjqT1A5ga/f/9+aSsnJ5/NhaVPh3EtoJj6W/jur1arsoHTaYIvYtb5wIEDsuisIOByFAnVJzQ+oXo2g+s5duNkOAbV5du3bxd1M4P46bjCzeTpp58WQcmGKXDj6ejokDGkeYX9pROO2LUSUonF9Avv55p58cUX8cADDwDIEg/ccsstABo3IbshFXFei3F4KiooNXOm05+twxPH9IILLhDhln1Px7kYJ6JWHcJcdSwClmtNW9xjdBgaHQDvuusuABkR2blzZ04gcWXosmrgUL/Y53R0dOQIwsMPPwwgy8W/ePFiCd2iw5Q9G7mjo0P2Oa4rmq1IbmbNmpUjHiEhwe47UwkjIpKqOSEhISEhoY2YloxXwycpjo2NifS2Zs0aAJlKQaeso9qCTlYE2VetVhPGbE/N0ckhYiTOmPAb2y7WT6vnrDSo00nSsYMqP+b35ZmaTz/9tDB3siM+m2pJIH/6T0jia4UNa5Zh86tu2rSp4fOsWbO8qTg1A/GFlWhpvIh6MiaBho8tucwh9sSWHTt24Je//CWALMctA/Y5RmvWrBGHK44XVdaU5g8cOCBaDDJfjj/nT3d3t9SnSLhDyMFIqwGBuqMRc56TPdDBiAlgxsbGgmYYosha8Zl3iqJIf7DNXCfbtm2TBC4Ml7LJJFxzIobJTyUsRZfhep7tO84Xvd54P9clr+HfgYEBGS9q0Wzuelf5MeuLqFQqorpn3bgf06HwoYcekjztZLU6xSMAXHrppfIcGzpFzc34+LhXfazrfKTHSSMx3oSEhISEhDZiWjJel7ODlXa7urpEGtXJCIAsZKOnp0ckGBs+o9OhuZK4a8QkaoiVhmw72AbN9HyOXLt27RJmS4mPUh3bzDATIAv41iE5fJ5PmmvF0cN1v36ODVmyISmu+oTOEPaV7aoHUbRdza5z1ceeWtPX1yeslfONyTYoxTNFJpCxWd7D/po3b55I9JZFcO7r34iiYQ8+GzHnzeHDh6X+vJbzjewolo3G+ENMdU4WqYN9NtvONbRu3TqxeVq2VISJu5hUTB1j+iIUzmPXoK67DocCGkN8eA+fRZ+ZkDYjVA97jXaatU6y/Mz5N3/+fGGzTAdpU+c+++yzOd8ElhFKi+tK9enr+yOR+CQx3oSEhISEhDZiWjJel6dwyE5EWMbqcnWPYa9WsomVvkNl2O990pQu1x5HNTQ0JOENZBhkR66zIUPhCr5DH+y9zdBM2g+FJxW5JrZORZhUs/EKPTfElkIJFVzhGNbz1HrVay907eGury2VSsHxjmlXs3nb1dXlPQrNlTq1lTkV0nbFjFeIXYX8EHyeuGRfQ0NDoqWgR7qrXs3WQYhJxXhk6+f5+iGGheowPftdaO25+sk3zjHjpZ/D/7mnueaaPSTGNUd85WmG6trjbV1942M1BK0gMd6EhISEhIQ2YloyXg1fzJRLStUHdvNeXmN/I7SkFRN/FkIRW0+oXayjtV0fPnwYW7duBZAP+HbVI/S9z04RI8m6vgtJ7TH28BjpPcZj1IcibMJVRsgGZKHnWrO51NXV5Y2lplajUqnkWIRF0dhCX7tCCPkGELp+MfPQ1id0TZH15dIuxVxLkFnRtl6pVBoS8+j7XIw3VNdm/hUxdQ1dG9Ks2Wu6urpyv/mONtSI0ZS4riVCtmYbz661eTb+1npX67SStn6675ol+dAahamMlw+lI+2w0FIlSqX/+0okJCQkJCRMAbVaLeptnFTNCQkJCQkJbUR68SYkJCQkJLQR6cWbkJCQkJDQRkwLG29CQkJCQsL/L0iMNyEhISEhoY1IL96EhISEhIQ2Ir14ExISEhIS2oj04k1ISEhISGgj0os3ISEhISGhjUgv3oSEhISEhDYivXgTEhISEhLaiPTiTUhISEhIaCPSizchISEhIaGNSC/ehISEhISENiK9eBMSEhISEtqI9OJNSEhISEhoI9KLNyEhISEhoY1IL96EhISEhIQ2Ir14ExISEhIS2oj04k1ISEhISGgj0os3ISEhISGhjUgv3oSEhISEhDYivXgTEhISEhLaiPTiTUhISEhIaCPSizchISEhIaGNSC/ehISEhISENiK9eBMSEhISEtqI/wfY5el6yvYPoQAAAABJRU5ErkJggg==\n", 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Visualize results with non-saturating G loss\n", "fig = plt.figure(figsize=(8,8))\n", "plt.title('Non-saturating G loss')\n", "plt.axis(\"off\")\n", "ims = [[plt.imshow(np.transpose(i,(1,2,0)), animated=True)] for i in img_list_nonsat]\n", "ani = animation.ArtistAnimation(fig, ims, interval=1000, repeat_delay=1000, blit=True)\n", "HTML(ani.to_jshtml())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Real Images vs. Fake Images**\n", "\n", "Finally, lets take a look at some real images and fake images side by\n", "side.\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Grab a batch of real images from the dataloader\n", "real_batch = next(iter(dataloader))\n", "\n", "# Plot the real images\n", "plt.figure(figsize=(15,15))\n", "plt.subplot(1,3,1)\n", "plt.axis(\"off\")\n", "plt.title(\"Real images\")\n", "plt.imshow(np.transpose(vutils.make_grid(real_batch[0].to(device)[:64], padding=5, normalize=True).cpu(),(1,2,0)))\n", "\n", "# Plot the fake images from the last epoch\n", "plt.subplot(1,3,2)\n", "plt.axis(\"off\")\n", "plt.title(\"Fake images - saturating G loss\")\n", "plt.imshow(np.transpose(img_list_sat[-1],(1,2,0)))\n", "\n", "# Plot the fake images from the last epoch\n", "plt.subplot(1,3,3)\n", "plt.axis(\"off\")\n", "plt.title(\"Fake images - non-saturating G loss\")\n", "plt.imshow(np.transpose(img_list_nonsat[-1],(1,2,0)))\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.5" } }, "nbformat": 4, "nbformat_minor": 1 }