{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Fully-Connected Neural Nets\n", "In the previous homework you implemented a fully-connected two-layer neural network on CIFAR-10. The implementation was simple but not very modular since the loss and gradient were computed in a single monolithic function. This is manageable for a simple two-layer network, but would become impractical as we move to bigger models. Ideally we want to build networks using a more modular design so that we can implement different layer types in isolation and then snap them together into models with different architectures.\n", "\n", "In this exercise we will implement fully-connected networks using a more modular approach. For each layer we will implement a `forward` and a `backward` function. The `forward` function will receive inputs, weights, and other parameters and will return both an output and a `cache` object storing data needed for the backward pass, like this:\n", "\n", "```python\n", "def layer_forward(x, w):\n", " \"\"\" Receive inputs x and weights w \"\"\"\n", " # Do some computations ...\n", " z = # ... some intermediate value\n", " # Do some more computations ...\n", " out = # the output\n", " \n", " cache = (x, w, z, out) # Values we need to compute gradients\n", " \n", " return out, cache\n", "```\n", "\n", "The backward pass will receive upstream derivatives and the `cache` object, and will return gradients with respect to the inputs and weights, like this:\n", "\n", "```python\n", "def layer_backward(dout, cache):\n", " \"\"\"\n", " Receive derivative of loss with respect to outputs and cache,\n", " and compute derivative with respect to inputs.\n", " \"\"\"\n", " # Unpack cache values\n", " x, w, z, out = cache\n", " \n", " # Use values in cache to compute derivatives\n", " dx = # Derivative of loss with respect to x\n", " dw = # Derivative of loss with respect to w\n", " \n", " return dx, dw\n", "```\n", "\n", "After implementing a bunch of layers this way, we will be able to easily combine them to build classifiers with different architectures.\n", "\n", "In addition to implementing fully-connected networks of arbitrary depth, we will also explore different update rules for optimization, and introduce Dropout as a regularizer and Batch Normalization as a tool to more efficiently optimize deep networks.\n", " " ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# As usual, a bit of setup\n", "\n", "import time\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from cs231n.classifiers.fc_net import *\n", "from cs231n.data_utils import get_CIFAR10_data\n", "from cs231n.gradient_check import eval_numerical_gradient, eval_numerical_gradient_array\n", "from cs231n.solver import Solver\n", "\n", "%matplotlib inline\n", "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n", "plt.rcParams['image.interpolation'] = 'nearest'\n", "plt.rcParams['image.cmap'] = 'gray'\n", "\n", "# for auto-reloading external modules\n", "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n", "%load_ext autoreload\n", "%autoreload 2\n", "\n", "def rel_error(x, y):\n", " \"\"\" returns relative error \"\"\"\n", " return np.max(np.abs(x - y) / (np.maximum(1e-8, np.abs(x) + np.abs(y))))" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "X_val: (1000, 3, 32, 32)\n", "X_train: (49000, 3, 32, 32)\n", "X_test: (1000, 3, 32, 32)\n", "y_val: (1000,)\n", "y_train: (49000,)\n", "y_test: (1000,)\n" ] } ], "source": [ "# Load the (preprocessed) CIFAR10 data.\n", "\n", "data = get_CIFAR10_data()\n", "for k, v in data.iteritems():\n", " print '%s: ' % k, v.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Affine layer: foward\n", "Open the file `cs231n/layers.py` and implement the `affine_forward` function.\n", "\n", "Once you are done you can test your implementaion by running the following:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Testing affine_forward function:\n", "difference: 9.76984946819e-10\n" ] } ], "source": [ "# Test the affine_forward function\n", "\n", "num_inputs = 2\n", "input_shape = (4, 5, 6)\n", "output_dim = 3\n", "\n", "input_size = num_inputs * np.prod(input_shape)\n", "weight_size = output_dim * np.prod(input_shape)\n", "\n", "x = np.linspace(-0.1, 0.5, num=input_size).reshape(num_inputs, *input_shape)\n", "w = np.linspace(-0.2, 0.3, num=weight_size).reshape(np.prod(input_shape), output_dim)\n", "b = np.linspace(-0.3, 0.1, num=output_dim)\n", "\n", "out, _ = affine_forward(x, w, b)\n", "correct_out = np.array([[ 1.49834967, 1.70660132, 1.91485297],\n", " [ 3.25553199, 3.5141327, 3.77273342]])\n", "\n", "# Compare your output with ours. The error should be around 1e-9.\n", "print 'Testing affine_forward function:'\n", "print 'difference: ', rel_error(out, correct_out)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Affine layer: backward\n", "Now implement the `affine_backward` function and test your implementation using numeric gradient checking." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Testing affine_backward function:\n", "dx error: 1.67635946758e-09\n", "dw error: 1.06574470088e-09\n", "db error: 1.00317526845e-11\n" ] } ], "source": [ "# Test the affine_backward function\n", "\n", "x = np.random.randn(10, 2, 3)\n", "w = np.random.randn(6, 5)\n", "b = np.random.randn(5)\n", "dout = np.random.randn(10, 5)\n", "\n", "dx_num = eval_numerical_gradient_array(lambda x: affine_forward(x, w, b)[0], x, dout)\n", "dw_num = eval_numerical_gradient_array(lambda w: affine_forward(x, w, b)[0], w, dout)\n", "db_num = eval_numerical_gradient_array(lambda b: affine_forward(x, w, b)[0], b, dout)\n", "\n", "_, cache = affine_forward(x, w, b)\n", "dx, dw, db = affine_backward(dout, cache)\n", "\n", "# The error should be around 1e-10\n", "print 'Testing affine_backward function:'\n", "print 'dx error: ', rel_error(dx_num, dx)\n", "print 'dw error: ', rel_error(dw_num, dw)\n", "print 'db error: ', rel_error(db_num, db)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# ReLU layer: forward\n", "Implement the forward pass for the ReLU activation function in the `relu_forward` function and test your implementation using the following:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Testing relu_forward function:\n", "difference: 4.99999979802e-08\n" ] } ], "source": [ "# Test the relu_forward function\n", "\n", "x = np.linspace(-0.5, 0.5, num=12).reshape(3, 4)\n", "\n", "out, _ = relu_forward(x)\n", "correct_out = np.array([[ 0., 0., 0., 0., ],\n", " [ 0., 0., 0.04545455, 0.13636364,],\n", " [ 0.22727273, 0.31818182, 0.40909091, 0.5, ]])\n", "\n", "# Compare your output with ours. The error should be around 1e-8\n", "print 'Testing relu_forward function:'\n", "print 'difference: ', rel_error(out, correct_out)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# ReLU layer: backward\n", "Now implement the backward pass for the ReLU activation function in the `relu_backward` function and test your implementation using numeric gradient checking:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Testing relu_backward function:\n", "dx error: 3.27561910906e-12\n" ] } ], "source": [ "x = np.random.randn(10, 10)\n", "dout = np.random.randn(*x.shape)\n", "\n", "dx_num = eval_numerical_gradient_array(lambda x: relu_forward(x)[0], x, dout)\n", "\n", "_, cache = relu_forward(x)\n", "dx = relu_backward(dout, cache)\n", "\n", "# The error should be around 1e-12\n", "print 'Testing relu_backward function:'\n", "print 'dx error: ', rel_error(dx_num, dx)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# \"Sandwich\" layers\n", "There are some common patterns of layers that are frequently used in neural nets. For example, affine layers are frequently followed by a ReLU nonlinearity. To make these common patterns easy, we define several convenience layers in the file `cs231n/layer_utils.py`.\n", "\n", "For now take a look at the `affine_relu_forward` and `affine_relu_backward` functions, and run the following to numerically gradient check the backward pass:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Testing affine_relu_forward:\n", "dx error: 4.33518155349e-10\n", "dw error: 8.52332361283e-11\n", "db error: 3.27559453206e-12\n" ] } ], "source": [ "from cs231n.layer_utils import affine_relu_forward, affine_relu_backward\n", "\n", "x = np.random.randn(2, 3, 4)\n", "w = np.random.randn(12, 10)\n", "b = np.random.randn(10)\n", "dout = np.random.randn(2, 10)\n", "\n", "out, cache = affine_relu_forward(x, w, b)\n", "dx, dw, db = affine_relu_backward(dout, cache)\n", "\n", "dx_num = eval_numerical_gradient_array(lambda x: affine_relu_forward(x, w, b)[0], x, dout)\n", "dw_num = eval_numerical_gradient_array(lambda w: affine_relu_forward(x, w, b)[0], w, dout)\n", "db_num = eval_numerical_gradient_array(lambda b: affine_relu_forward(x, w, b)[0], b, dout)\n", "\n", "print 'Testing affine_relu_forward:'\n", "print 'dx error: ', rel_error(dx_num, dx)\n", "print 'dw error: ', rel_error(dw_num, dw)\n", "print 'db error: ', rel_error(db_num, db)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Loss layers: Softmax and SVM\n", "You implemented these loss functions in the last assignment, so we'll give them to you for free here. You should still make sure you understand how they work by looking at the implementations in `cs231n/layers.py`.\n", "\n", "You can make sure that the implementations are correct by running the following:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Testing svm_loss:\n", "loss: 9.00222846396\n", "dx error: 1.40215660067e-09\n", "\n", "Testing softmax_loss:\n", "loss: 2.30280840682\n", "dx error: 8.30160241568e-09\n" ] } ], "source": [ "num_classes, num_inputs = 10, 50\n", "x = 0.001 * np.random.randn(num_inputs, num_classes)\n", "y = np.random.randint(num_classes, size=num_inputs)\n", "\n", "dx_num = eval_numerical_gradient(lambda x: svm_loss(x, y)[0], x, verbose=False)\n", "loss, dx = svm_loss(x, y)\n", "\n", "# Test svm_loss function. Loss should be around 9 and dx error should be 1e-9\n", "print 'Testing svm_loss:'\n", "print 'loss: ', loss\n", "print 'dx error: ', rel_error(dx_num, dx)\n", "\n", "dx_num = eval_numerical_gradient(lambda x: softmax_loss(x, y)[0], x, verbose=False)\n", "loss, dx = softmax_loss(x, y)\n", "\n", "# Test softmax_loss function. Loss should be 2.3 and dx error should be 1e-8\n", "print '\\nTesting softmax_loss:'\n", "print 'loss: ', loss\n", "print 'dx error: ', rel_error(dx_num, dx)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Two-layer network\n", "In the previous assignment you implemented a two-layer neural network in a single monolithic class. Now that you have implemented modular versions of the necessary layers, you will reimplement the two layer network using these modular implementations.\n", "\n", "Open the file `cs231n/classifiers/fc_net.py` and complete the implementation of the `TwoLayerNet` class. This class will serve as a model for the other networks you will implement in this assignment, so read through it to make sure you understand the API. You can run the cell below to test your implementation." ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Testing initialization ... \n", "Testing test-time forward pass ... \n", "Testing training loss (no regularization)\n", "Running numeric gradient check with reg = 0.0\n", "W1 relative error: 1.83e-08\n", "W2 relative error: 3.48e-10\n", "b1 relative error: 6.55e-09\n", "b2 relative error: 4.33e-10\n", "Running numeric gradient check with reg = 0.7\n", "W1 relative error: 2.53e-07\n", "W2 relative error: 7.98e-08\n", "b1 relative error: 1.35e-08\n", "b2 relative error: 9.09e-10\n" ] } ], "source": [ "N, D, H, C = 3, 5, 50, 7\n", "X = np.random.randn(N, D)\n", "y = np.random.randint(C, size=N)\n", "\n", "std = 1e-2\n", "model = TwoLayerNet(input_dim=D, hidden_dim=H, num_classes=C, weight_scale=std)\n", "\n", "print 'Testing initialization ... '\n", "W1_std = abs(model.params['W1'].std() - std)\n", "b1 = model.params['b1']\n", "W2_std = abs(model.params['W2'].std() - std)\n", "b2 = model.params['b2']\n", "assert W1_std < std / 10, 'First layer weights do not seem right'\n", "assert np.all(b1 == 0), 'First layer biases do not seem right'\n", "assert W2_std < std / 10, 'Second layer weights do not seem right'\n", "assert np.all(b2 == 0), 'Second layer biases do not seem right'\n", "\n", "print 'Testing test-time forward pass ... '\n", "model.params['W1'] = np.linspace(-0.7, 0.3, num=D*H).reshape(D, H)\n", "model.params['b1'] = np.linspace(-0.1, 0.9, num=H)\n", "model.params['W2'] = np.linspace(-0.3, 0.4, num=H*C).reshape(H, C)\n", "model.params['b2'] = np.linspace(-0.9, 0.1, num=C)\n", "X = np.linspace(-5.5, 4.5, num=N*D).reshape(D, N).T\n", "scores = model.loss(X)\n", "correct_scores = np.asarray(\n", " [[11.53165108, 12.2917344, 13.05181771, 13.81190102, 14.57198434, 15.33206765, 16.09215096],\n", " [12.05769098, 12.74614105, 13.43459113, 14.1230412, 14.81149128, 15.49994135, 16.18839143],\n", " [12.58373087, 13.20054771, 13.81736455, 14.43418138, 15.05099822, 15.66781506, 16.2846319 ]])\n", "scores_diff = np.abs(scores - correct_scores).sum()\n", "assert scores_diff < 1e-6, 'Problem with test-time forward pass'\n", "\n", "print 'Testing training loss (no regularization)'\n", "y = np.asarray([0, 5, 1])\n", "loss, grads = model.loss(X, y)\n", "correct_loss = 3.4702243556\n", "assert abs(loss - correct_loss) < 1e-10, 'Problem with training-time loss'\n", "\n", "model.reg = 1.0\n", "loss, grads = model.loss(X, y)\n", "correct_loss = 26.5948426952\n", "assert abs(loss - correct_loss) < 1e-10, 'Problem with regularization loss'\n", "\n", "for reg in [0.0, 0.7]:\n", " print 'Running numeric gradient check with reg = ', reg\n", " model.reg = reg\n", " loss, grads = model.loss(X, y)\n", "\n", " for name in sorted(grads):\n", " f = lambda _: model.loss(X, y)[0]\n", " grad_num = eval_numerical_gradient(f, model.params[name], verbose=False)\n", " print '%s relative error: %.2e' % (name, rel_error(grad_num, grads[name]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Solver\n", "In the previous assignment, the logic for training models was coupled to the models themselves. Following a more modular design, for this assignment we have split the logic for training models into a separate class.\n", "\n", "Open the file `cs231n/solver.py` and read through it to familiarize yourself with the API. After doing so, use a `Solver` instance to train a `TwoLayerNet` that achieves at least `50%` accuracy on the validation set." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(Iteration 1 / 2450) loss: 2.529657\n", "(Epoch 0 / 10) train acc: 0.174000; val_acc: 0.165000\n", "(Iteration 101 / 2450) loss: 2.002465\n", "(Iteration 201 / 2450) loss: 1.800601\n", "(Epoch 1 / 10) train acc: 0.453000; val_acc: 0.439000\n", "(Iteration 301 / 2450) loss: 1.789342\n", "(Iteration 401 / 2450) loss: 1.703697\n", "(Epoch 2 / 10) train acc: 0.494000; val_acc: 0.467000\n", "(Iteration 501 / 2450) loss: 1.615889\n", "(Iteration 601 / 2450) loss: 1.559820\n", "(Iteration 701 / 2450) loss: 1.535318\n", "(Epoch 3 / 10) train acc: 0.496000; val_acc: 0.474000\n", "(Iteration 801 / 2450) loss: 1.740479\n", "(Iteration 901 / 2450) loss: 1.595430\n", "(Epoch 4 / 10) train acc: 0.527000; val_acc: 0.485000\n", "(Iteration 1001 / 2450) loss: 1.535205\n", "(Iteration 1101 / 2450) loss: 1.492153\n", "(Iteration 1201 / 2450) loss: 1.489278\n", "(Epoch 5 / 10) train acc: 0.512000; val_acc: 0.493000\n", "(Iteration 1301 / 2450) loss: 1.493909\n", "(Iteration 1401 / 2450) loss: 1.517038\n", "(Epoch 6 / 10) train acc: 0.549000; val_acc: 0.507000\n", "(Iteration 1501 / 2450) loss: 1.440969\n", "(Iteration 1601 / 2450) loss: 1.457719\n", "(Iteration 1701 / 2450) loss: 1.295266\n", "(Epoch 7 / 10) train acc: 0.568000; val_acc: 0.514000\n", "(Iteration 1801 / 2450) loss: 1.359114\n", "(Iteration 1901 / 2450) loss: 1.307882\n", "(Epoch 8 / 10) train acc: 0.559000; val_acc: 0.533000\n", "(Iteration 2001 / 2450) loss: 1.479469\n", "(Iteration 2101 / 2450) loss: 1.384897\n", "(Iteration 2201 / 2450) loss: 1.331333\n", "(Epoch 9 / 10) train acc: 0.592000; val_acc: 0.529000\n", "(Iteration 2301 / 2450) loss: 1.394723\n", "(Iteration 2401 / 2450) loss: 1.414682\n", "(Epoch 10 / 10) train acc: 0.641000; val_acc: 0.519000\n" ] } ], "source": [ "model = TwoLayerNet()\n", "solver = None\n", "\n", "##############################################################################\n", "# TODO: Use a Solver instance to train a TwoLayerNet that achieves at least #\n", "# 50% accuracy on the validation set. #\n", "##############################################################################\n", "small_data = {\n", " 'X_train': data['X_train'],\n", " 'y_train': data['y_train'],\n", " 'X_val': data['X_val'],\n", " 'y_val': data['y_val']\n", "}\n", "model = TwoLayerNet(input_dim=3*32*32, hidden_dim=256, num_classes=10, \n", " weight_scale=1e-3, reg=0.58)\n", "solver = Solver(model, small_data,\n", " update_rule='sgd',\n", " optim_config={\n", " 'learning_rate': 1e-3,\n", " },\n", " lr_decay=0.95,\n", " num_epochs=10, batch_size=200,\n", " print_every=100)\n", "solver.train()\n", "##############################################################################\n", "# END OF YOUR CODE #\n", "##############################################################################" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABMsAAAPzCAYAAACp44vsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nUprNMkmSJEmSJCnt/wGBeJFW3HfEMgAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Run this cell to visualize training loss and train / val accuracy\n", "\n", "plt.subplot(2, 1, 1)\n", "plt.title('Training loss')\n", "plt.plot(solver.loss_history, 'o')\n", "plt.xlabel('Iteration')\n", "\n", "plt.subplot(2, 1, 2)\n", "plt.title('Accuracy')\n", "plt.plot(solver.train_acc_history, '-o', label='train')\n", "plt.plot(solver.val_acc_history, '-o', label='val')\n", "plt.plot([0.5] * len(solver.val_acc_history), 'k--')\n", "plt.xlabel('Epoch')\n", "plt.legend(loc='lower right')\n", "plt.gcf().set_size_inches(15, 12)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Multilayer network\n", "Next you will implement a fully-connected network with an arbitrary number of hidden layers.\n", "\n", "Read through the `FullyConnectedNet` class in the file `cs231n/classifiers/fc_net.py`.\n", "\n", "Implement the initialization, the forward pass, and the backward pass. For the moment don't worry about implementing dropout or batch normalization; we will add those features soon." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Initial loss and gradient check\n", "As a sanity check, run the following to check the initial loss and to gradient check the network both with and without regularization. Do the initial losses seem reasonable?\n", "\n", "For gradient checking, you should expect to see errors around 1e-6 or less." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running check with reg = 0\n", "Initial loss: 2.29757365949\n", "W1 relative error: 6.14e-07\n", "W2 relative error: 3.19e-06\n", "W3 relative error: 2.89e-06\n", "b1 relative error: 1.02e-08\n", "b2 relative error: 1.31e-09\n", "b3 relative error: 1.08e-10\n", "Running check with reg = 3.14\n", "Initial loss: 7.0573808179\n", "W1 relative error: 2.03e-07\n", "W2 relative error: 7.88e-07\n", "W3 relative error: 3.26e-07\n", "b1 relative error: 5.01e-08\n", "b2 relative error: 7.15e-08\n", "b3 relative error: 1.95e-10\n" ] } ], "source": [ "N, D, H1, H2, C = 2, 15, 20, 30, 10\n", "X = np.random.randn(N, D)\n", "y = np.random.randint(C, size=(N,))\n", "\n", "for reg in [0, 3.14]:\n", " print 'Running check with reg = ', reg\n", " model = FullyConnectedNet([H1, H2], input_dim=D, num_classes=C,\n", " reg=reg, weight_scale=5e-2, dtype=np.float64)\n", "\n", " loss, grads = model.loss(X, y)\n", " print 'Initial loss: ', loss\n", "\n", " for name in sorted(grads):\n", " f = lambda _: model.loss(X, y)[0]\n", " grad_num = eval_numerical_gradient(f, model.params[name], verbose=False, h=1e-5)\n", " print '%s relative error: %.2e' % (name, rel_error(grad_num, grads[name]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As another sanity check, make sure you can overfit a small dataset of 50 images. First we will try a three-layer network with 100 units in each hidden layer. You will need to tweak the learning rate and initialization scale, but you should be able to overfit and achieve 100% training accuracy within 20 epochs." ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(Iteration 1 / 40) loss: inf\n", "(Epoch 0 / 20) train acc: 0.240000; val_acc: 0.080000\n", "(Epoch 1 / 20) train acc: 0.280000; val_acc: 0.200000\n", "(Epoch 2 / 20) train acc: 0.380000; val_acc: 0.160000\n", "(Epoch 3 / 20) train acc: 0.660000; val_acc: 0.160000\n", "(Epoch 4 / 20) train acc: 0.720000; val_acc: 0.180000\n", "(Epoch 5 / 20) train acc: 0.860000; val_acc: 0.160000\n", "(Iteration 11 / 40) loss: inf\n", "(Epoch 6 / 20) train acc: 0.860000; val_acc: 0.180000\n", "(Epoch 7 / 20) train acc: 0.980000; val_acc: 0.180000\n", "(Epoch 8 / 20) train acc: 0.980000; val_acc: 0.180000\n", "(Epoch 9 / 20) train acc: 1.000000; val_acc: 0.180000\n", "(Epoch 10 / 20) train acc: 1.000000; val_acc: 0.180000\n", "(Iteration 21 / 40) loss: 0.000000\n", "(Epoch 11 / 20) train acc: 1.000000; val_acc: 0.180000\n", "(Epoch 12 / 20) train acc: 1.000000; val_acc: 0.180000\n", "(Epoch 13 / 20) train acc: 1.000000; val_acc: 0.180000\n", "(Epoch 14 / 20) train acc: 1.000000; val_acc: 0.180000\n", "(Epoch 15 / 20) train acc: 1.000000; val_acc: 0.180000\n", "(Iteration 31 / 40) loss: 0.000000\n", "(Epoch 16 / 20) train acc: 1.000000; val_acc: 0.180000\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "cs231n/layers.py:556: RuntimeWarning: divide by zero encountered in log\n", " loss = -np.sum(np.log(probs[np.arange(N), y])) / N\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "(Epoch 17 / 20) train acc: 1.000000; val_acc: 0.180000\n", "(Epoch 18 / 20) train acc: 1.000000; val_acc: 0.180000\n", "(Epoch 19 / 20) train acc: 1.000000; val_acc: 0.180000\n", "(Epoch 20 / 20) train acc: 1.000000; val_acc: 0.180000\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAA2kAAAK9CAYAAAC+UCQrAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAIABJREFUeJzs3XmcZldZL/rfkwkIQzPkkoAnhyAoiVwVugVFPMA1QBgE\nJxBbEBSFwyDhtHLBc0BAUJkJIHCIRkCENAJOjEbAKyijdiMchoDMQkiYOxBICMlz/9hvh0qlqru6\n+q30qqrv9/N5P/3Wetfa61mVNzS/7L3Xru4OAAAAYzjsUBcAAADA9whpAAAAAxHSAAAABiKkAQAA\nDERIAwAAGIiQBgAAMBAhDQAAYCBCGgAAwECENAAAgIEIaQCsuaq6WVVdWlW/tIqxV5mNffRa1Laf\nuVdd91qqqndX1XtX0G/I+gHYNyENYBOa/R/3/b0uqarbzXHaPsixBzN+ozmQ38UB/96q6hFVdd8D\nHQfAfBxxqAsA4JC436KfH5DkjrP2WtD+kXlM1t0fraqrdfd3VjH2oqq6WpKL51HLZnIQv/dTk/xH\nklesQVkA7IeQBrAJdfeZC3+uqtskuWN371zJ+Kq6andfeIBzHnBAm8fYzW6U391qvjMAm5XLHQHY\np6o6ZXb5489X1dOq6vNJvllVR1XVMVV1WlV9sKq+WVVfr6rXVdUPLTrGFe6NqqpXVtWXqur4qnp9\nVX2jqs6rqj9cNPYK96RV1VNnbcdX1ctn8361qk6vqqMWjT+6ql5YVV+pqvOr6jVVdaODuc9t9jt5\nZ1VdMJv3r6rqpov6bKmq51fVp6vqwtna/r6qbr6gz4lV9bdVdW5VfbuqPjtbz9VWWMcPV9Xbqupb\nVfWfVfXIRZ8v9Xv/vqr6i6r63Kyuc6rqr6vqhrPPv5Dk+5PcZcGlr29cMP6ms/5fm63/HVV1pyV+\nP0t9Z06ctf/3Jdby07PPfnYlawfYyJxJA2ClnpzkgiRPS3L1JJckuVmSuyR5TZLPJLlBkock+aeq\n+qHu/vI+jtdJjkzy5iT/lORRs2P9blV9rLv/fD9jO8nfJvlYksckuXWS30xyTpLfX9B3Z5KfSfLi\nJLsyXdb5t1nlPW5Vdbckr810KejjklwzySOTvKOqbtnd58y6vni2nufNajwmye0y/c4+VFVXna39\n0iSnJflikuOT3DPJNZJ8ez+lXD/JG5O8MsmZSX45ybOr6t+7+237GPfaJDea1fXZJMclOSXJ92X6\n3T0syQuTnJvk6Zkufz1ntvbvS/KuTP+R9zlJ9iR5YJI3VtU9uvvvF8218DtzdJKPZ/pncN8kpy/q\ne98kX03yhv2sG2DDE9IAWKlKctvu/u5lDVX/2t0nXa5T1c4kH8p0n9uz9nPMayZ5Unc/e/bz6VX1\nwSS/kWRfIW1vPe/o7lMXjD1uNvb3Z7XcJsk9kvxRdz9u1u9FVXVmkh/Zz/GX86xMoeU23f3N2Txv\nSPLeJL+X5KGzfndJ8oLu/p8Lxj5jwfsfzRSM7t7db1rQ/qQV1nF8knt391/PavjzJP+Zaf1LhrSq\nOjbJLZP8Vne/cMFHT937prv/pqqenuQLS1z++rgk10ly6+7ePTvmizP98352ksUhbanvzMuSnFZV\nN+ruz8zarpLkF5KcubAvwGblckcAVurFi/8P9ML7narq8Kq6bpKvJ/lUkq0rPO6fLPr5XzJdbrc/\nnSuejfnnJDesqiNnP99l1u9/L+r3x7n8BikrUlUnZDoTdsbegJYk3b0ryduT3H1B9/OT3GYWjJby\n9dmfd52FlAP11b0BbVbDhZnOUu3rd/fNTGdAf7qqrrWKOe+a5J/3BrTZvOcnOSPJzapq8dxX+M5k\nOrN5SZJfWdB2jyTXSvLyVdQEsOEIaQCs1KcXN1TVYVX16Kr6RJKLknw502V7P5BkywqO+fWFYWfm\na5nO1qzEZ5cYW0muPfv5Rkku6u7PL+r38RUef7Ebzf782BKffSTJ91XV3r9bH5Xkx5J8rqreVVW/\nV1V7x6e7P5rkBUkenuQrVfXGqnpIVV1jhbUsXnuyn99dd1+Q5LFJfjbJF6vq/6uq366q/2t/k1VV\nZTp799ElPt67C+iNFrV/eokavpzpjNvCLf7vm+RT3f2u/dUBsBkIaQCs1FL3SD0p06VyZyXZnuTO\nme75+nhW9nfMJcu0r/Qs18GOXzPd/YokN0nyP5Kcl+m+uQ9V1f+zoM8jMl1++NRM96G9IMkHqur6\nK5hiVWvv7qcnOTFTWLs4yR8l+XAt2uxlTpa7r+5lSU6qqltU1bUznaFzFg1gRkgD4GD8YpI3dvfD\nuvvV3f2W7v7HJNc91IXNfCbJVWYbXiz0AwdxvGS65HGxE5N8vrsv3dvQ3ed09wu6++cyBbZvJll4\nj1q6+wPd/QfdfbskJyc5IdMGKGumuz/R3c/q7jtnujfumpnC5GVdlhjTme55W2rte+9L/MwSny3l\ndZk2Hblvkntn2kBGSAOYEdIAWInldkK8JIvO3FTVrya53ppXtDJnZarvYYvaH5FV7O7Y3Z9OcnaS\nBy68LLGqtia5fZLXz34+YvFli919XqYzaleZ9bnWgksj9/o/sz9Xc4/afs0eR3DUouZPZNqBceGc\nF+R7l4wu9MYk/62qbrHgmNfKFCrP7u5PLui77O93di/jqzKdfb1/kn/t7tVeggqw4djdEYCVWO4S\nutcn+X+r6k+S/GumszL3yRL3Ih0K3f3O2c6Lvzvb+fHfMp2tuvHeLqs47O9k2sb+nVX1kkwbXjwi\nyZeS/MGsz/WSfKyqXp0peH0r0yYm/3e+FxjvmuTpsz7/kSkkPSDJhUku2xBkzn44yeuq6lWZ7iO7\nJMkvZbp/8JUL+u1Kcv+q+t1Mm8B8obvfnuQPk9wryVur6nmZNkd5YKZt/Bef/dvfJacvS/LgTI9t\nOHU/fQE2FSENgL32FViW++yJmcLFL2U6K/Kvme5Le8ESY5Y6xnLHXWrsSo63lPskeebsz3sl+Yck\nv5rkg5kC0f5cbp7uftPsWWlPzBTKvpPkrUl+d8Ez0vZk2rXyTrM5K1MQ+83ufsmsz64kb0nyc5mC\nygVJ3pfkzt39/gOtax/tC3/+ZKYzWD+dKRBenGn7/J9f9BiAx89q+l+Znol3VpK3d/fnq+onMz33\n7H8kOWpW8127+y0rrG/6cArQn0jyX5P85b76Amw2NV1iDgCbR1X9RJJ3JvnF7v6bQ13PZlVVH07y\nie6+x6GuBWAk6/KetKp6eFV9qqq+XVXvrqpb7af/HapqV1VdWFUfq6oHLNFnS1W9oKrOmfU7u6ru\nsnarAODKUFVXXaL5kZnOIv3LlVwOM1X1U5k2W9nfQ8sBNp11d7ljVd0nybMyXcf+3iQ7kpxVVT84\ne/bK4v4nZLpn4oWZHpx5xyRnVNU53f3mWZ8jM11ycm6SX0hyTqZnvXx98fEAWHd+r6pOzPSw6U7y\nM5nuS3tud3/pkFa2CVXVDyfZluTRme5ddCYTYJF1d7ljVb07yXu6+5GznyvTlsDPmz37ZXH/p2W6\nVv5HFrTtTLKlu+82+/khmW4EP7G7l3vuDADrUFXdNcnjMp21uXqmbeJfkuRpvd7+EtwAquopmR70\n/ZEkD+ru9xzikgCGs65C2uyM17cy3UPw2gXtL80Uun5+iTFvS7Kru397QduvJTmtu68z+/kNSb6S\n6aGbP5tph64zM/0FfuniYwIAAKyV9XZP2jFJDs/0nJmFzsu0/e9Sjlum/7Wqau8zYb4/08M0D8u0\nJfKTMp1Ze+wcagYAAFixdXdP2ho5LFNwe/Ds0pf3VdV/yXQ5xpOXGlBV10tySqbr6VeyhTMAALAx\nXTXJCUnO6u6vHOzB1ltI+3KmB28eu6j92Eybfizl3GX6n9/dF81+/kKS7yy6N+EjSY6rqiO6+7tL\nHPeUJK84kOIBAIAN7b6Zbps6KOsqpHX3xVW1K9OuXK9NLts45OQkz1tm2LsyXcK40J1n7Xu9I9ND\nWBe6WZIvLBPQkukMWl7+8pfnpJNOWukS2GB27NiR00477VCXwSHkO0Die4DvAL4Dm91HPvKR3O9+\n90tmGeFgrauQNvPsJC+dhbW9W/AfneSlyWW7Rt2wu/c+C+1FSR4+2+XxxZkC3b2S3G3BMf/3rM/z\nkvxxkh9M8j+TPGcfdVyYJCeddFK2bt06n5Wx7mzZssU//03Od4DE9wDfAXwHuMxcboNadyGtu19V\nVcdk2tzj2CT/nuSUBc+6OS7J8Qv6f7qq7p7ktCSnJvlckt/o7rcs6PO5qjpl1uf9ST4/e3+FLf0B\nAADW0roLaUnS3S/M9HDqpT779SXa3p7pwZn7OuZ7kvzkXAoEAABYpfW2BT8AAMCGJqTBQdi+ffF+\nM2w2vgMkvgf4DuA7wHzV5XedZ6WqamuSXbt27XKTKAAAbGK7d+/Otm3bkmRbd+8+2OM5kwYAADAQ\nIQ0AAGAgQhoAAMBAhDQAAICBCGkAAAADEdIAAAAGIqQBAAAMREgDAAAYiJAGAAAwECENAABgIEIa\nAADAQIQ0AACAgQhpAAAAAxHSAAAABiKkAQAADERIAwAAGIiQBgAAMBAhDQAAYCBCGgAAwECENAAA\ngIEIaQAAAAMR0gAAAAYipAEAAAxESAMAABiIkAYAADAQIQ0AAGAgQhoAAMBAhDQAAICBCGkAAAAD\nEdIAAAAGIqQBAAAMREgDAAAYiJAGAAAwECENAABgIEIaAADAQIQ0AACAgQhpAAAAAxHSAAAABiKk\nAQAADERIAwAAGIiQBgAAMBAhDQAAYCBCGgAAwECENAAAgIEIaQAAAAMR0gAAAAYipAEAAAxESAMA\nABiIkAYAADAQIQ0AAGAgQhoAAMBAhDQAAICBCGkAAAADEdIAAAAGIqQBAAAMREgDAAAYiJAGAAAw\nECENAABgIEIaAADAQIQ0AACAgQhpAAAAAxHSAAAABiKkAQAADERIAwAAGIiQBgAAMBAhDQAAYCBC\nGgAAwECENAAAgIEIaQAAAAMR0gAAAAYipAEAAAxESAMAABiIkAYAADAQIQ0AAGAgQhoAAMBAhDQA\nAICBCGkAAAADEdIAAAAGIqQBAAAMREgDAAAYiJAGAAAwECENAABgIEIaAADAQIQ0AACAgQhpAAAA\nAxHSAAAABiKkAQAADERIAwAAGIiQBgAAMJB1GdKq6uFV9amq+nZVvbuqbrWf/neoql1VdWFVfayq\nHrCPvr9cVZdW1V/Pv3IAAIB9W3chraruk+RZSZ6Q5JZJ3p/krKo6Zpn+JyR5fZK3JvnRJM9NckZV\n3WmZvs9I8vb5Vw4AALB/6y6kJdmR5PTufll3n53kIUm+leSBy/R/aJJPdveju/uj3f2CJK+ZHecy\nVXVYkpcneXyST61Z9QAAAPuwrkJaVR2ZZFums2JJku7uJG9Jcptlhv3E7POFzlqi/xOSnNfdL5lP\ntQAAAAfuiENdwAE6JsnhSc5b1H5ekpstM+a4Zfpfq6qu0t0XVdVPJfn1TJdDAgAAHDLr6kzaWqiq\nayR5WZIHdffXDnU9AADA5rbezqR9OcklSY5d1H5sknOXGXPuMv3Pn51FOzHJjZK8rqpq9vlhSVJV\n30lys+5e9h61HTt2ZMuWLZdr2759e7Zv376C5QAAAOvJzp07s3Pnzsu17dmzZ65z1HRL1/pRVe9O\n8p7ufuTs50ry2STP6+5nLNH/qUnu2t0/uqDtzCTX7u67VdVVktxk0bA/THKNJKcm+Y/u/u4Sx92a\nZNeuXbuydevWOa0OAABYb3bv3p1t27Ylybbu3n2wx1tvZ9KS5NlJXlpVu5K8N9MujUcneWmSVNVT\nktywu/c+C+1FSR5eVU9L8uIkJye5V5K7JUl3X5TkwwsnqKqvTx/1R9Z8NQAAAAusu5DW3a+aPRPt\nSZkuW/z3JKd095dmXY5LcvyC/p+uqrsnOS3TmbHPJfmN7l684yMAAMAht+5CWpJ09wuTvHCZz359\niba3Z9q6f6XHv8IxAAAArgybfndHAACAkQhpAAAAAxHSAAAABiKkAQAADERIAwAAGIiQBgAAMBAh\nDQAAYCBCGgAAwECENAAAgIEIaQAAAAMR0gAAAAYipAEAAAxESAMAABiIkAYAADAQIQ0AAGAgQhoA\nAMBAhDQAAICBCGkAAAADEdIAAAAGIqQBAAAMREgDAAAYiJAGAAAwECENAABgIEIaAADAQIQ0AACA\ngQhpAAAAAxHSAAAABiKkAQAADERIAwAAGIiQBgAAMBAhDQAAYCBCGgAAwECENAAAgIEIaQAAAAMR\n0gAAAAYipAEAAAxESAMAABiIkAYAADAQIQ0AAGAgQhoAAMBAhDQAAICBCGkAAAADEdIAAAAGIqQB\nAAAMREgDAAAYiJAGAAAwECENAABgIEIaAADAQIQ0AACAgQhpAAAAAxHSAAAABiKkAQAADERIAwAA\nGIiQBgAAMBAhDQAAYCBCGgAAwECENAAAgIEIaQAAAAMR0gAAAAYipAEAAAxESAMAABiIkAYAADAQ\nIQ0AAGAgQhoAAMBAhDQAAICBCGkAAAADEdIAAAAGIqQBAAAMREgDAAAYiJAGAAAwECENAABgIEIa\nAADAQIQ0AACAgQhpAAAAAxHSAAAABiKkAQAADERIAwAAGIiQBgAAMBAhDQAAYCBCGgAAwECENAAA\ngIEIaQAAAAMR0gAAAAYipAEAAAxESAMAABiIkAYAADAQIQ0AAGAgQhoAAMBAhDQAAICBCGkAAAAD\nEdIAAAAGIqQBAAAMREgDAAAYyLoMaVX18Kr6VFV9u6reXVW32k//O1TVrqq6sKo+VlUPWPT5b1bV\n26vqq7PXm/d3TAAAgLWw7kJaVd0nybOSPCHJLZO8P8lZVXXMMv1PSPL6JG9N8qNJnpvkjKq604Ju\nt09yZpI7JPmJJP+Z5B+q6gZrsggAAIBlrLuQlmRHktO7+2XdfXaShyT5VpIHLtP/oUk+2d2P7u6P\ndvcLkrxmdpwkSXf/ane/qLs/0N0fS/KbmX43J6/pSgAAABZZVyGtqo5Msi3TWbEkSXd3krckuc0y\nw35i9vlCZ+2jf5JcPcmRSb666mIBAABWYV2FtCTHJDk8yXmL2s9LctwyY45bpv+1quoqy4x5WpLP\n54rhDgAAYE0dcagLGE1V/W6SX0py++7+zv7679ixI1u2bLlc2/bt27N9+/Y1qhAAADhUdu7cmZ07\nd16ubc+ePXOdY72FtC8nuSTJsYvaj01y7jJjzl2m//ndfdHCxqp6VJJHJzm5uz+0koJOO+20bN26\ndSVdAQCAdW6pEzK7d+/Otm3b5jbHurrcsbsvTrIrCzb0qKqa/fzOZYa9K1fcAOTOs/bLVNWjkzw2\nySnd/b551QwAAHAg1lVIm3l2kgdV1f2r6sQkL0pydJKXJklVPaWq/nxB/xcl+f6qelpV3ayqHpbk\nXrPjZDbmMUmelGmHyM9W1bGz19WvnCUBAABM1tvljunuV82eifakTJct/nums19fmnU5LsnxC/p/\nuqrunuS0JKcm+VyS3+juhZuCPCTTbo6vWTTd78/mAQAAuFKsu5CWJN39wiQvXOazX1+i7e2Ztu5f\n7ng3nl91AAAAq7ceL3cEAADYsIQ0AACAgQhpAAAAAxHSAAAABiKkAQAADERIAwAAGIiQBgAAMBAh\nDQAAYCBCGgAAwECENAAAgIEIaQAAAAMR0gAAAAYipAEAAAxESAMAABiIkAYAADAQIQ0AAGAgQhoA\nAMBAhDQAAICBCGkAAAADEdIAAAAGIqQBAAAMREgDAAAYiJAGAAAwECENAABgIEIaAADAQIQ0AACA\ngQhpAAAAAxHSAAAABiKkAQAADERIAwAAGIiQBgAAMBAhDQAAYCBCGgAAwECENAAAgIEIaQAAAAMR\n0gAAAAYipAEAAAxESAMAABiIkAYAADAQIQ0AAGAgQhoAAMBAhDQAAICBCGkAAAADEdIAAAAGIqQB\nAAAMREgDAAAYiJAGAAAwECENAABgIEIaAADAQIQ0AACAgQhpAAAAAxHSAAAABiKkAQAADERIAwAA\nGIiQBgAAMJCDDmlVdfWquktV3WQeBQEAAGxmBxzSqurlVfWw2furJHlvkjck+UhV3XPO9QEAAGwq\nqzmTdsck75y9//kkV01y3SSPTvKEOdUFAACwKa0mpF07yVdm7++S5K+6e0+Sv0lys3kVBgAAsBmt\nJqR9LsmtquqqmULam2ftW5JcOK/CAAAANqMjVjHm+Ul2JtmT5EtJ/nHW/lNJPjSnugAAADalAw5p\n3f2cqvq3JMcneWN3XzL76AtxTxoAAMBBWc2ZtHT3v+x9X1WV6V60f+juC+ZVGAAAwGa0mi34n15V\nvzZ7f1iStyb5cJJzquq28y0PAABgc1nNxiG/nO/de3b3JD+U5BZJXpTkqXOqCwAAYFNazeWO1890\n/1kyhbRXdfcHquqbSR4yt8oAAAA2odWcSftikpvNLnW8S5K3zNqvmqTnVRgAAMBmtJozaX+R5C+T\nfH42/h9m7bdK8tE51QUAALAprWYL/sdW1UcybcH/yu7e+wDrI5I8Y57FAQAAbDar3YL/5Uu0/dnB\nlwMAALC5reaetFTVj1fVq6vqg7PXq6rq1vMuDgAAYLNZzXPSfinJO5IcleRls9dVkryjqu493/IA\nAAA2l9Vc7viEJI/t7qctbKyqxyR5YpJXz6EuAACATWk1lzveNMlfLdH+V0lucnDlAAAAbG6rCWmf\nT3K7JdpvP/sMAACAVVrN5Y7PSfKCqvrhJO+ctd02yYOTPGZehQEAAGxGq3lO2vOq6ktJfifJg2bN\nZyf59e7+y3kWBwAAsNms9jlpO5PsnHMtAAAAm96qnpMGAADA2ljRmbSq+kKSXknf7r7hQVUEAACw\nia30cscnrmURAAAATFYU0rr79LUuBAAAAPekAQAADEVIAwAAGIiQBgAAMBAhDQAAYCBCGgAAwEBW\nugX/ZarqzGU+6iQXJvl4kld296cOpjAAAIDNaDVn0irJ3ZLcPsmW2ev2s7ZjkjwoyYeq6sfnVSQA\nAMBmccBn0pKcneSCJA/p7u8mSVUdkeSFSc5N8vNJ/izJ0zOFNwAAAFZoNWfSHpbkGXsDWpLM3j8r\nU3C7NMlpSX5kPiUCAABsHqsJaVdNcpMl2m+S5KjZ+29luiwSAACAA7CakHZmkhdX1UOr6sdmr4cm\nefHssyT5b0k+PK8iF6uqh1fVp6rq21X17qq61X7636GqdlXVhVX1sap6wBJ97l1VH5kd8/1Vdde1\nqh8AAGA5qwlppyb50yR/mOS9s9cfJvmTJI+c9XlbkvvOo8DFquo+mS6tfEKSWyZ5f5KzquqYZfqf\nkOT1Sd6a5EeTPDfJGVV1pwV9fjJTwPzTJLdI8ndJ/raqfmgt1sDa6+5DXcJcWc+482yktZhn7Hk2\n0lrMM/Y8G2kt5hl7no20lnk74JDW3Rd39+9193WTHJfkuO6+bnc/vrsvnvX55Bpuwb8jyend/bLu\nPjvJQzJdXvnAZfo/NMknu/vR3f3R7n5BktfMjrPXqUne1N3PnvV5fJLdSX5rjdbAGvjGN76RU099\nQm584zvm+ON/Lje+8R1z6qlPyDe+8Y1DXdqqWM+482yktZhn7Hk20lrMM/Y8G2kt5hl7no20ljXV\n3evmleTIJBcnueei9pcm+ZtlxrwtybMXtf1akq8t+PkzSU5d1OeJSd63j1q2Juldu3Y1h97555/f\nN7/5nfqww97UyaWddCeX9mGHvalvfvM79fnnn3+oSzwg1jPuPBtpLeYZe56NtBbzjD3PRlqLecae\nZyOtZbFdu3Z1pudGb+155J4DHpBcL9NlgZ9M8s1MZ7Eue82jqH3MfYMklyb58UXtT0vyrmXGfDTJ\nYxa13TXJJUmuMvv5oiT3WdTnoUm+sI9ahLSBPOIRj5/9i9hXeB122Bv71FOfcKhLPCDWM+48G2kt\n5hl7no20FvOMPc9GWot5xp5nI61lsRFC2uuSfCzT5YK/nOQ+C1/zKGofcwtpLOmEE07u7/2XksWv\nS/uEE+54qEs8INYz7jwbaS3mGXuejbQW84w9z0Zai3nGnmcjrWWxeYe01TzM+vZJ7tDdu1cx9mB9\nOVO4OnZR+7GZHqS9lHOX6X9+d1+0nz7LHfMyO3bsyJYtWy7Xtn379mzfvn1/Q5mT7s7FF189yz/1\noXLxxUenu1M1/pMhrGfceTbSWswz9jwbaS3mGXuejbQW84w9z0Zay86dO7Nz587Lte3Zs2dVx1rO\nakLaOZmC0pWuuy+uql1JTk7y2iSp6bd7cpLnLTPsXZnOnC1051n7wj6Lj3GnRX2WdNppp2Xr1q0r\nqp+1UVU58sgLMv3Hi6X+ZesceeQF6yLQJNYz8jwbaS3mGXuejbQW84w9z0Zai3nGnmcjrWWpEzK7\nd+/Otm3bVn3MxVazBf/vJHlKVR03tyoOzLOTPKiq7l9VJyZ5UZKjM20ekqp6SlX9+YL+L0ry/VX1\ntKq6WVU9LMm9ZsfZ67lJ7lJVvz3r88Qk25I8f+2Xwzzc4x63zWGHnbXkZ4cd9ve55z1/6kqu6OBY\nz7jzbKS1mGfseTbSWswz9jwbaS3mGXuejbSWNXeg10cm+UKSb2c6m/alTGfWLnvN4xrMFdTwsCSf\nntXxriQ/tuCzlyT5x0X9b5dk16z/fyT51SWO+YtJzp71+UCSU/ZTg3vSBvK9XXzeuOAa5Ev7sMPe\nuM53Q7Se0ebZSGsxz9jzbKS1mGfseTbSWswz9jwbaS2LzfuetOopcKxYVf33/YS+0w/ogOtUVW1N\nsmvXrl0udxzEN77xjTzucc/Ka1/7jlx88dE58shv5Z73vG3+4A9+J9e85jUPdXkHzHrGnWcjrcU8\nY8+zkdZinrHn2UhrMc/Y82yktSy04HLHbT2HvTsOOKQxEdLG1gd50+lorGfceTbSWswz9jwbaS3m\nGXuejbQW84w9z0Zay7xD2oo2Dqmqo7r7O3vf76vv3n5wKG2kQJNYz8jzbKS1mGfseTbSWswz9jwb\naS3mGXuejbSWeVvp7o7frqobdPcXk1yY6XrL5Rx+8GUBAABsTisNaXdL8tXZ+8Xb2QMAADAnKwpp\n3X3WUu+Qu4O8AAAYqElEQVQBAACYr9U8zDpVdY1MW9BfP4uetdbdr5pDXQAAAJvSAYe0qrpLkjOT\nXDvJd3L5+9M6iZAGAACwSoftv8sVPCfJXya5XndftbuvtuB19JzrAwAA2FRWE9KOT/KM7v7avIsB\nAADY7FYT0v4xyS3mXQgAAACr2zjk1UmeWVU/mOT/JLl44Yfd/Q/zKAwAAGAzWk1Ie+nszz9a4rOO\nh1kDAACs2mpC2tXmXgUAAABJVhHSuvuitSgEAACAFYa0qnpwkj/v7otm75fV3X8yl8oAAAA2oZWe\nSfv9JH+V5KLZ++V0EiENAABglVYU0rr7Bku9BwAAYL5W85w0AAAA1shqdndMVR2b5O5J/muSoxZ+\n1t3/aw51AQAAbEoHHNKq6vZJXpfkvCQnJPmPJMcnuSTJh+dZHAAAwGazmssdn5rkhd39A0kuTPIz\nmULaO5L82RxrAwAA2HRWE9JunuSM2fvvJrlad389yeOSPHZehQEAAGxGqwlp3873LpM8N8n3z95/\nN8n151EUAADAZrWajUPem+Qnk5yd5KwkT6+qH0xy7yT/OsfaAAAANp3VhLRHJbnG7P3jk1w7yX/P\ntIHIqXOqCwAAYFM6oJBWVYcn2ZLpLFq6+/wkvzb/sgAAADanA7onrbsvSfLPSY5Zm3IAAAA2t9Vs\nHPLhTFvuAwAAMGerCWmPTvLMqrpjVV2nqo5a+Jp3gQAAAJvJajYOOWvRn4sdvspaAAAANr3VhLS7\nzr0KAAAAkhxASKuqxyd5ZncvdwYNAACAg3Qg96Q9Id97PhoAAABr4EBCWq1ZFQAAACQ58N0de02q\nAAAAIMmBbxzysaraZ1Dr7useRD0AAACb2oGGtCck2bMWhQAAAHDgIe2V3f3FNakEAACAA7onzf1o\nAAAAa8zujgAAAANZ8eWO3X2gO0ECAABwgAQvAACAgQhpAAAAAxHSAAAABiKkAQAADERIAwAAGIiQ\nBgAAMBAhDQAAYCBCGgAAwECENAAAgIEIaQAAAAMR0gAAAAYipAEAAAxESAMAABiIkAYAADAQIQ0A\nAGAgQhoAAMBAhDQAAICBCGkAAAADEdIAAAAGIqQBAAAMREgDAAAYiJAGAAAwECENAABgIEIaAADA\nQIQ0AACAgQhpAAAAAxHSAAAABiKkAQAADERIAwAAGIiQBgAAMBAhDQAAYCBCGgAAwECENAAAgIEI\naQAAAAMR0gAAAAYipAEAAAxESAMAABiIkAYAADAQIQ0AAGAgQhoAAMBAhDQAAICBCGkAAAADEdIA\nAAAGIqQBAAAMREgDAAAYiJAGAAAwECENAABgIEIaAADAQIQ0AACAgQhpAAAAAxHSAAAABrKuQlpV\nXaeqXlFVe6rqa1V1RlVdfQXjnlRV51TVt6rqzVV100XHfF5VnT37/DNV9dyqutbargYAAOCK1lVI\nS3JmkpOSnJzk7klul+T0fQ2oqsck+a0kD05y6yQXJDmrqo6adblhkhsk+e0kN0/ygCR3SXLGGtQP\nAACwT0cc6gJWqqpOTHJKkm3d/b5Z2yOSvKGqHtXd5y4z9JFJntzdr5+NuX+S85L8XJJXdfeHktx7\nQf9PVdVjk/xFVR3W3Zeu0ZIAAACuYD2dSbtNkq/tDWgzb0nSSX58qQFVdeMkxyV569627j4/yXtm\nx1vOtZOcL6ABAABXtvUU0o5L8sWFDd19SZKvzj5bbkxnOnO20HnLjamqY5I8Lvu5jBIAAGAtHPKQ\nVlVPqapL9/G6pKp+8Eqq5ZpJ3pDkg0l+/8qYEwAAYKER7kl7ZpKX7KfPJ5Ocm+T6Cxur6vAk1519\ntpRzk1SSY3P5s2nHJll42WSq6hpJzkry9SS/MDtLt187duzIli1bLte2ffv2bN++fSXDAQCAdWTn\nzp3ZuXPn5dr27Nkz1zmqu+d6wLUy2zjkQ0l+bMHGIXdO8sYk/2W5jUOq6pwkz+ju02Y/XytTYLt/\nd7961nbNTAHt20nu1t0XraCerUl27dq1K1u3bj3o9QEAAOvT7t27s23btmTa5HD3wR7vkF/uuFLd\nfXamIPWnVXWrqrptkj9OsnNhQJs97+xnFwx9TpLHVdU9quqHk7wsyeeS/N2s/zWTvDnJ0Ul+M8m1\nq+rY2Wvd/H4AAICNYYTLHQ/EryR5fqZdHS9N8ppMW+wv9ANJLrv+sLufXlVHZ9oI5NpJ/jnJXbv7\nO7MuW5Pcavb+47M/K9OGIzdO8tn5LwMAAGBp6yqkdffXk9xvP30OX6LtiUmeuEz/tyW5whgAAIBD\nweV8AAAAAxHSAAAABiKkAQAADERIAwAAGIiQBgAAMBAhDQAAYCBCGgAAwECENAAAgIEIaQAAAAMR\n0gAAAAYipAEAAAxESAMAABiIkAYAADAQIQ0AAGAgQhoAAMBAhDQAAICBCGkAAAADEdIAAAAGIqQB\nAAAMREgDAAAYiJAGAAAwECENAABgIEIaAADAQIQ0AACAgQhpAAAAAxHSAAAABiKkAQAADERIAwAA\nGIiQBgAAMBAhDQAAYCBCGgAAwECENAAAgIEIaQAAAAMR0gAAAAYipAEAAAxESAMAABiIkAYAADAQ\nIQ0AAGAgQhoAAMBAhDQAAICBCGkAAAADEdIAAAAGIqQBAAAMREgDAAAYiJAGAAAwECENAABgIEIa\nAADAQIQ0AACAgQhpAAAAAxHSAAAABiKkAQAADERIAwAAGIiQBgAAMBAhDQAAYCBCGgAAwECENAAA\ngIEIaQAAAAMR0gAAAAYipAEAAAxESAMAABiIkAYAADAQIQ0AAGAgQhoAAMBAhDQAAICBCGkAAAAD\nEdIAAAAGIqQBAAAMREgDAAAYiJAGAAAwECENAABgIEIaAADAQIQ0AACAgQhpAAAAAxHSAAAABiKk\nAQAADERIAwAAGIiQBgAAMBAhDQAAYCBCGgAAwECENAAAgIEIaQAAAAMR0gAAAAYipAEAAAxESAMA\nABiIkAYAADAQIQ0AAGAgQhoAAMBAhDQAAICBCGkAAAADEdIAAAAGIqQBAAAMREgDAAAYiJAGAAAw\nkHUV0qrqOlX1iqraU1Vfq6ozqurqKxj3pKo6p6q+VVVvrqqb7qPvm6rq0qq653yrBwAA2L91FdKS\nnJnkpCQnJ7l7ktslOX1fA6rqMUl+K8mDk9w6yQVJzqqqo5bouyPJJUl6vmUDAACszLoJaVV1YpJT\nkvxGd/9bd78zySOS/HJVHbePoY9M8uTufn13fzDJ/ZPcMMnPLTr+LZLsSPLAJLUWawAAANifdRPS\nktwmyde6+30L2t6S6azXjy81oKpunOS4JG/d29bd5yd5z+x4e/tdLckrkjysu784/9IBAABWZj2F\ntOOSXC5AdfclSb46+2y5MZ3kvEXt5y0ac1qSf+nu18+nVAAAgNU54lAXUFVPSfKYfXTpTPehrdX8\n90zy00lusZrxO3bsyJYtWy7Xtn379mzfvn0O1QEAACPZuXNndu7cebm2PXv2zHWO6j60e2RU1fWS\nXG8/3T6Z5FeTPLO7L+tbVYcnuTDJvbr775Y49o2TfCLJLbr7Awva/ynJ+7p7R1WdlunetoW/iMOT\nXJrk7d3908vUvTXJrl27dmXr1q37XygAALAh7d69O9u2bUuSbd29+2CPd8jPpHX3V5J8ZX/9qupd\nSa5dVbdccF/ayZk2+XjPMsf+VFWdO+v3gdlxrpXpHrYXzLo9JcmfLhr6wUwbjrj8EQAAuFId8pC2\nUt19dlWdleRPq+qhSY5K8sdJdnb3uXv7VdXZSR6z4Mzac5I8rqo+nuTTSZ6c5HNJ/m523C9m0b1u\nVZUk/9ndn1nTRQEAACyybkLazK8keX6mXR0vTfKaTGe8FvqBJJfdJNbdT6+qozM9T+3aSf45yV27\n+zv7mMdz0gAAgENiXYW07v56kvvtp8/hS7Q9MckTD2CeKxwDAADgyrCetuAHAADY8IQ0AACAgQhp\nAAAAAxHSAAAABiKkAQAADERIAwAAGIiQBgAAMBAhDQAAYCBCGgAAwECENAAAgIEIaQAAAAMR0gAA\nAAYipAEAAAxESAMAABiIkAYAADAQIQ0AAGAgQhoAAMBAhDQAAICBCGkAAAADEdIAAAAGIqQBAAAM\nREgDAAAYiJAGAAAwECENAABgIEIaAADAQIQ0AACAgQhpAAAAAxHSAAAABiKkAQAADERIAwAAGIiQ\nBgAAMBAhDQAAYCBCGgAAwECENAAAgIEIaQAAAAMR0gAAAAYipAEAAAxESAMAABiIkAYAADAQIQ0A\nAGAgQhoAAMBAhDQAAICBCGkAAAADEdIAAAAGIqQBAAAMREgDAAAYiJAGAAAwECENAABgIEIaAADA\nQIQ0AACAgQhpAAAAAxHSAAAABiKkAQAADERIAwAAGIiQBgAAMBAhDQAAYCBCGgAAwECENAAAgIEI\naQAAAAMR0gAAAAYipAEAAAxESAMAABiIkAYAADAQIQ0AAGAgQhoAAMBAhDQAAICBCGkAAAADEdIA\nAAAGIqQBAAAMREgDAAAYiJAGAAAwECENAABgIEIaAADAQIQ0AACAgQhpAAAAAxHSAAAABiKkAQAA\nDERIAwAAGIiQBgAAMBAhDQAAYCBCGgAAwECENAAAgIEIaQAAAAMR0gAAAAYipAEAAAxESAMAABiI\nkAYAADAQIQ0AAGAgQhoAAMBAhDQAAICBCGkAAAADEdIAAAAGsq5CWlVdp6peUVV7quprVXVGVV19\nBeOeVFXnVNW3qurNVXXTJfrcpqreWlXfnB3/n6rqKmuzEjaKnTt3HuoSOMR8B0h8D/AdwHeA+VpX\nIS3JmUlOSnJykrsnuV2S0/c1oKoek+S3kjw4ya2TXJDkrKo6akGf2yR5U5K/T/Jjs9fzk1w6/yWw\nkfgfZHwHSHwP8B3Ad4D5OuJQF7BSVXViklOSbOvu983aHpHkDVX1qO4+d5mhj0zy5O5+/WzM/ZOc\n9/+3d+cxdlZlHMe/PxSogJRQWYwbiyugFUEJEgSlAZcEl/iHioAao2gQlKjgghhJNCLWBYu4hEbc\nkLgETFAURKNCJNJKFYuCtBYtLVqwYAm2wuMf73vl9jpLa2fm3rn3+0luOnPOed/3TOfMM/Pcc97z\nAq8ALmvbLAQ+XVWf6Dru1mn4MiRJkiRpQrNpJu1w4J5Ogta6GijgsLEOSLIvsDdwTaesqu4FftWe\njyR7tMf/Pckvk6xplzoeMT1fhiRJkiSNbzYlaXsDd3UXVNWDwN1t3XjHFM3MWbe1Xcfs1/57Ds3S\nyeOAJcA1Sfbf9m5LkiRJ0pbr+3LHJB8DzpygSdHchzZdOonqRVV1SfvxGUmOAd4EfGCc4+YALF++\nfBq7pkG3fv16lixZ0u9uqI8cAwLHgRwDcgyMuq6cYM5UnC9VNRXn+f87kMwD5k3S7HbgROD8qvpv\n2ySPAB4AXl1Vl49x7n2BPwHPrqplXeU/BZZW1buS7NOe//VV9Y2uNpcCm6rqxHH6/Trg61vyNUqS\nJEkaCSd05xT/r77PpFXVOmDdZO2SXA/sluTgrvvSjgFCc4/ZWOdekWRN225Ze55dae5BW9S2WZlk\nNfC0nsOfClw5QZeuAk4AVtIkipIkSZJG0xxgH5ocYZv1fSZtayS5EtgTeBuwA3AxcEP3bFeSW4Az\nOzNrSd5Ls5zyDTQJ1bnAgcCBVbWxbXM68GHgzcBv2rZnAAdV1Yrp/8okSZIkqdH3mbSt9Dqa55dd\nTfMMs2/TbLHf7SnA3M4nVXVekp1oNgXZDfg58JJOgta2+Uz74OqFwO7ATcACEzRJkiRJM21WzaRJ\nkiRJ0rCbTVvwS5IkSdLQM0mTJEmSpAFikjaJJEcmuSLJX5M8lOT4Mdp8JMnqJPcn+XGSJ/ejr5oe\nk42BJIvb8u7XRDuDapZJ8r4kNyS5N8naJN9L8tQx2hkLhtSWjAFjwXBLckqSm5Ksb1/XJXlxTxtj\nwBCbbAwYA0ZPkrPa7/PCnvJtjgUmaZPbmWbHx7fTPFh7M0nOBE4F3gI8D9gAXJVkh5nspKbVhGOg\n9QNgL2Dv9vXamemaZsiRwAU0j+9YAGwP/CjJozoNjAVDb9Ix0DIWDK87aHaLfg5wCPAT4PIkzwBj\nwIiYcAy0jAEjIslzaX7eb+opn5JY4MYhWyHJQ8ArquqKrrLVwCeq6lPt57sCa4GTq+qy/vRU02Wc\nMbAYmFtVr+pfzzSTkjwGuAt4QVX9oi0zFoyQccaAsWDEJFkHvLuqFhsDRlPPGDAGjIgkuwA30jwW\n7GxgaVWd0dZNSSxwJm0bJNmX5l2SazplVXUvzcO1D+9Xv9QXR7dLoG5JcmGS3fvdIU2r3WhmVe8G\nY8GI2mwMdDEWjIAk2yV5DbATcJ0xYPT0joGuKmPAaFgEfL+qftJdOJWxYLY9J23Q7E3zS3ptT/na\ntk6j4QfAd4AVwP7Ax4ArkxxeTlUPnSQBPg38oqp+3xYbC0bIOGMAjAVDL8lBwPXAHOA+4JVV9Yck\nh2MMGAnjjYG22hgwAtrk/NnAoWNUT9nfAyZp0jbqmbq+OclvgT8BRwPX9qVTmk4XAgcAR/S7I+qb\nMceAsWAk3ALMB+YCrwYuSfKC/nZJM2zMMVBVtxgDhl+Sx9O8SbegqjZN57Vc7rht1gChuUG0215t\nnUZQVa0A/g64q9eQSfI54KXA0VV1Z1eVsWBETDAG/oexYPhU1b+r6vaqWlpVH6DZMOB0jAEjY4Ix\nMFZbY8DwOQTYA1iSZFOSTcBRwOlJNtLMmE1JLDBJ2wbtD98a4JhOWXtz4GFsvj5ZI6R9l2UeMOEf\ncJpd2j/OXw68sKpWddcZC0bDRGNgnPbGguG3HbCjMWCkbQfsOFaFMWAoXQ08k2a54/z29Wvga8D8\nqrqdKYoFLnecRJKdad4BSVu0X5L5wN1VdQfNlOcHk9wGrATOBf4CXN6H7moaTDQG2tc5NGvQ17Tt\nPg78Ebhq5nur6ZDkQpptlI8HNiTpvEO2vqoeaD82FgyxycZAGyeMBUMsyUdp7jlaBTwaOIHmHfRj\n2ybGgCE30RgwBoyGqtoAdN+LTJINwLqqWt4WTUksMEmb3KE064irfX2yLf8K8KaqOi/JTsAXaHb7\n+jnwkqra2I/OalpMNAbeDjwLOInm+7+aJhh/aLrXKmtGnULzvf9pT/kbgUsAjAVDb7Ix8CDGgmG3\nJ03cfyywHlgGHNvZ3c0YMBLGHQNJ5mAMGFWbbQozVbHA56RJkiRJ0gDxnjRJkiRJGiAmaZIkSZI0\nQEzSJEmSJGmAmKRJkiRJ0gAxSZMkSZKkAWKSJkmSJEkDxCRNkiRJkgaISZokSZIkDRCTNEmSZkCS\nFUlO63c/JEmDzyRNkjR0kixO8t3242uTLJzBa5+c5J4xqg4FvjhT/ZAkzV6P7HcHJEmaDZJsX1Wb\ntqQpUL2FVbVu6nslSRpGzqRJkoZWksXAUcDpSR5K8mCSJ7Z1ByW5Msl9SdYkuSTJvK5jr01yQZJP\nJfkb8MO2/F1JliX5Z5JVSRYl2amtOwq4GJjbdb0PtXWbLXdM8oQkl7fXX5/kW0n27Ko/J8nSJK9v\nj/1Hkm8m2XkG/uskSX1kkiZJGmanAdcDXwL2Ah4L3JFkLnANcCPwHOA4YE/gsp7jTwL+BTwfOKUt\nexB4B3BAW/9C4Ly27jrgncC9Xdc7v7dTSQJcAewGHAksAPYDLu1puj/wcuClwMtoEs6ztup/QJI0\n67jcUZI0tKrqviQbgfur6m+d8iSnAkuq6uyusjcDq5I8uapua4tvraqzes752a5PVyU5G/g8cGpV\nbUqyvmn28PXGsAA4ENinqla31z8JuDnJIVV1Y6dbwMlVdX/b5qvAMcDZY5xTkjQkTNIkSaNoPvCi\nJPf1lBfN7FUnSbuxp54kC2hms54O7Erzu3THJHOq6oEtvP7TgTs6CRpAVS1P8g/gGV3XXdlJ0Fp3\n0sz4SZKGmEmaJGkU7UKz3PC9NLNV3e7s+nhDd0WSJwHfBxYB7wfuplmu+GVgB2BLk7Qt1btRSeGt\nCpI09EzSJEnDbiPwiJ6yJcCrgD9X1UNbca5DgFTVuzsFSV6zBdfrtRx4QpLHVdVf2/McQHOP2s1b\n0R9J0hDy3ThJ0rBbCRyW5ElduzcuAnYHLk1yaJL9khyX5OJ2U4/x3AZsn+S0JPsmORF46xjX2yXJ\ni5LMS/Ko3pNU1dXA74CvJzk4yfOArwDXVtXSbfpqJUmznkmaJGnYnU+zI+PvgbuSPLGq7gSOoPk9\neBWwDFgI3FNVnWecjfWss2XAGTTLJH8LvJae3Rar6nrgIuBbwF3Ae8Y53/HAPcDPgB/RJIC9s3KS\npBGUh38XSZIkSZL6zZk0SZIkSRogJmmSJEmSNEBM0iRJkiRpgJikSZIkSdIAMUmTJEmSpAFikiZJ\nkiRJA8QkTZIkSZIGiEmaJEmSJA0QkzRJkiRJGiAmaZIkSZI0QEzSJEmSJGmAmKRJkiRJ0gD5D7Ge\njQBAQ3qyAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# TODO: Use a three-layer Net to overfit 50 training examples.\n", "\n", "num_train = 50\n", "small_data = {\n", " 'X_train': data['X_train'][:num_train],\n", " 'y_train': data['y_train'][:num_train],\n", " 'X_val': data['X_val'][:num_train],\n", " 'y_val': data['y_val'][:num_train],\n", "}\n", "\n", "weight_scale = 1e2\n", "learning_rate = 1e-6\n", "model = FullyConnectedNet([100, 100],\n", " weight_scale=weight_scale, dtype=np.float64)\n", "solver = Solver(model, small_data,\n", " print_every=10, num_epochs=20, batch_size=25,\n", " update_rule='sgd',\n", " optim_config={\n", " 'learning_rate': learning_rate,\n", " }\n", " )\n", "solver.train()\n", "\n", "plt.plot(solver.loss_history, 'o')\n", "plt.title('Training loss history')\n", "plt.xlabel('Iteration')\n", "plt.ylabel('Training loss')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now try to use a five-layer network with 100 units on each layer to overfit 50 training examples. Again you will have to adjust the learning rate and weight initialization, but you should be able to achieve 100% training accuracy within 20 epochs." ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(Iteration 1 / 40) loss: 157.527720\n", "(Epoch 0 / 20) train acc: 0.160000; val_acc: 0.100000\n", "(Epoch 1 / 20) train acc: 0.200000; val_acc: 0.120000\n", "(Epoch 2 / 20) train acc: 0.420000; val_acc: 0.080000\n", "(Epoch 3 / 20) train acc: 0.560000; val_acc: 0.080000\n", "(Epoch 4 / 20) train acc: 0.580000; val_acc: 0.080000\n", "(Epoch 5 / 20) train acc: 0.800000; val_acc: 0.060000\n", "(Iteration 11 / 40) loss: 0.908702\n", "(Epoch 6 / 20) train acc: 0.920000; val_acc: 0.100000\n", "(Epoch 7 / 20) train acc: 0.980000; val_acc: 0.080000\n", "(Epoch 8 / 20) train acc: 0.980000; val_acc: 0.080000\n", "(Epoch 9 / 20) train acc: 0.980000; val_acc: 0.080000\n", "(Epoch 10 / 20) train acc: 0.980000; val_acc: 0.120000\n", "(Iteration 21 / 40) loss: 0.000983\n", "(Epoch 11 / 20) train acc: 1.000000; val_acc: 0.120000\n", "(Epoch 12 / 20) train acc: 1.000000; val_acc: 0.120000\n", "(Epoch 13 / 20) train acc: 1.000000; val_acc: 0.120000\n", "(Epoch 14 / 20) train acc: 1.000000; val_acc: 0.120000\n", "(Epoch 15 / 20) train acc: 1.000000; val_acc: 0.120000\n", "(Iteration 31 / 40) loss: 0.000310\n", "(Epoch 16 / 20) train acc: 1.000000; val_acc: 0.120000\n", "(Epoch 17 / 20) train acc: 1.000000; val_acc: 0.120000\n", "(Epoch 18 / 20) train acc: 1.000000; val_acc: 0.120000\n", "(Epoch 19 / 20) train acc: 1.000000; val_acc: 0.120000\n", "(Epoch 20 / 20) train acc: 1.000000; val_acc: 0.120000\n", "0.1 0.001\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1kAAAK9CAYAAADWo6YTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAIABJREFUeJzs3X24XVddL/rvLzYttKSpb7SAPTRQLdHjBRMEe3i7aqUt\n0FLsUdmiVXkQEUMwwAW0xUbaHrHQlyCBg1eUN9kIVKVF2oJUEUtu0QTkCOFNQaClBSykmyA0dI/7\nx1qhO5udZGdnZO+9sj+f51lP1hxjzDl/a63wpF/GnGNWay0AAAD0sWyhCwAAADicCFkAAAAdCVkA\nAAAdCVkAAAAdCVkAAAAdCVkAAAAdCVkAAAAdCVkAAAAdCVkAAAAdCVkA7FdVnVJVk1X183PY96jh\nvs8/FLXt59xzrvtQqqr/r6o+MItxi7J+APZNyAIYQcP/8N7f666qenTH07aD3Pdg9j/cHMh3ccDf\nW1U9q6qecqD7AdDHEQtdAABz8kvTtn8lyWnD9prSvr3HyVprH6+qe7bW7pzDvt+sqnsm2dWjlqXk\nIL739Uk+meTPD0FZAOyHkAUwglprb5q6XVWnJjmttTY+m/2r6h6ttW8c4DkPOGD12HepWyzf3Vz+\nzgAsVS4XBDjMVdXpw8sHn1RVf1hVNyf5WlUdWVXfV1VXVNW/VtXXquqrVXVNVf3wtGN8x71BVfXm\nqvpSVZ1YVe+oqomquq2qLpm273fck1VVLxm2nVhVbxye9/aqenVVHTlt/6Or6pVV9Z9VdUdVva2q\n7n8w93kNv5P3V9XO4XmvqqqTp41ZWVWvqKrPVNU3hp/tuqr6kSljHlRVf11Vt1bVf1XVZ4ef556z\nrONHq+q9VfX1qvpcVT17Wv9M3/v9quoNVfX5YV23VNVfVtV9h/1fSPKAJGdMuXT0nVP2P3k4/ivD\nz39jVf3MDN/PTH9nHjRs/40ZPstPDfueOJvPDnA4M5MFsHRclGRnkj9MckySu5KckuSMJG9L8h9J\n7pPkGUn+vqp+uLX25X0cryVZnuTdSf4+yfOGx3phVX2itfa6/ezbkvx1kk8keUGShyV5WpJbkvz+\nlLHjSZ6Q5E+TbM3gssi/zhzv8aqqxyW5OoNLKS9IsiLJs5PcWFU/1lq7ZTj0T4ef5+XDGr8vyaMz\n+M4+UlX3GH72ySRXJPlikhOTnJ3kXkn+az+l3DvJO5O8Ocmbkjw5yeVV9aHW2nv3sd/VSe4/rOuz\nSU5IcnqS+2Xw3T0zySuT3Jrk0gwuH71l+Nnvl2RLBv8n65VJdiR5apJ3VtVZrbXrpp1r6t+Zo5N8\nKoPf4ClJXj1t7FOS3J7kb/bzuQEOf601Ly8vL68RfyX5oyR37aXv9AyCwEeSHDGt78gZxp+c5JtJ\nnjul7ZThMX5+Stt4BkHtOdP2/9ck/zBl+6jhvs+f0vYHw7aXT9v3b5J8dsr2qcNxF08b96bhuZ8/\n02feT93bMwgn95rStnZ4vFdNaduZ5NJ9HPvhw2OfOYffa8vwfD87pe0eSb6U5PV7qz/J8cPtZ+7n\n+J9M8s4Z2l+V5FtJ1kxpOzbJ55J8dJZ/Z541PMb9p/3GX0myeaH/t+Dl5eW1GF4uFwRYOv60tfat\nqQ1tyv0+VfVdVfU9Sb6a5NNJ1szyuH88bfsfM7hcbX9avnM25H1J7ltVy4fbZwzHvWrauD/Kngt8\nzEpVnZRBcPmT1trXvl1Ia1uT/EOSx08ZfkeSU6vq+L0c7qvDP8+sqqMOtJYkt7fW/nJKDd/IYJZo\nX9/d1zIIZz9VVcfO4ZxnJnlfa23blPPekeRPkpxSVdPP/R1/Z3J3uP7FKW1nZRDW3jiHmgAOO0IW\nwNLxmekNVbWsqp5fVf+WwezVlzO47O0Hk6ycxTG/OjWsDH0lyXfPsqbPzrBvJTluuH3/JN9srd08\nbdynZnn86e4//PMTM/RtT3K/qtr9b+Pzkjw0yeeraktVvaiqdu+f1trHk2xO8ltJ/rOq3llVz6iq\ne82ylumfPdnPd9da25nk/CRPTPLFqvq7qnpOVX3//k5WVZXB5Ywfn6F79yqU95/W/pkZavhykusy\nuDxwt6ck+XRrbcv+6gBYCoQsgKVjpnuEXpzkJUmuTzKW5LEZ3PP0qczu34i79tI+21mmg93/kGmt\n/XmSByb57SS3ZXDf2Eeq6ienjHlWkh/L4Du8Vwah68NVde9ZnGJOn721dmmSB2UQtnYl+V9JPjp9\nsZJO9nZf2euTrK6qh1TVcRnMkJnFAhgSsgCWtnMzuHfnma21t7bW/ra1dkOS71nowob+I8lRwwUb\npvrBgzheMrhkcLoHJbm5tTa5u6G1dktrbXNr7ZwMAtfXkvzO1J1aax9urV3cWnt0kp9OclIGC3gc\nMq21f2utXdZae2ySB2eweMdvTx0ywz4tg3uvZvrsq4d//scMfTO5JoNFM56S5OcyWABFyAIYErIA\nloa9rcR3V6bNnFTVLyf53kNe0excn0F9z5zW/qzMYXXB1tpnknwsyVOnXtZXVWuSPCbJO4bbR0y/\n7K+1dlsGM1pHDcccO+XSwt3+z/DPudyjtV/D5eyPnNb8bxks0jH1nDtz9yWXU70zyaOq6iFTjnls\nBqHwY621f58ydq/f7/BevrdkMPt5XpJ/aq3N9RJOgMOOJdwBloa9XYL2jiT/T1X9cZJ/ymBW5Bcy\nw704C6G19v6q+psMloU/Ick/ZzBbtGr3kDkc9rkZLIP+/qr6swwWbHhWBiv7XTwc871JPlFVb80g\nOH09g0U4/nvuDnxnJrl0OOaTGYScX0nyjSTfXtCisx9Nck1VvSWD+6juSvLzGdw/9+Yp47YmOa+q\nXpjBIiZfaK39Q5JLkvzPJO+pqpdnsLjHUzNYBn767Nv+Ltl8fZKnZ7Ds//qD+VAAhxshC+Dwsa/A\nsbe+jRmEg5/PYFbinzK4L2vzDPvMdIy9HXemfWdzvJn8QpKXDf/8n0neleSXM1gq/huz2H+P87TW\nrh0+K2tjBqHqziTvSfLCdvczsnZksGrizwzPWRkEqae11v5sOGZrkr9Nck4GQWNnkg8meWxr7V8O\ntK59tE/d/vcMZpB+KoNAtyuDZdaf1Fq7dsq43xvW9LsZPBPt+gyW1b+5qv5HBs+9+u0kRw5rPrO1\n9rezrG/QOQjA/5bkvyX5i32NBVhqanCJNgCMjqr6iSTvT3Jua+2vFrqepaqqPprk31prZy10LQCL\nyaK4J6uqHlVVV1fVzVU1WVVnzzBmdVW9vaq+WlVfq6qbquoHpvQfVVWbq+rLVTVRVW+b5epOACxi\nVXWPGZqfncEszj/OczkMVdUjM1gs5HULXQvAYrNYLhc8JsmHkrwmM1zHXlUPzOABlf9vkhclmUjy\nI9nzMpErM7g+/twMrjHfnOSqJI86lIUDcMi9qKoelMHDgluSJ2RwX9am1tqXFrSyJaiqfjTJ2iTP\nz+DePTOJANMsussFq2oyyTmttauntI0nubO19it72efYDG5YfvLuy0aq6pQMbgr+idbaBw595QAc\nClV1ZpILMpg1OSaDZcb/LMkftsX2j9gSUFV/kMGDmrcn+fXW2k0LXBLAorPoQ9bwCfU7klya5JEZ\nPPTx00n+oLX29uGYn8zg5uPvbq3dMeVYn0lyRWtt07x+CAAAYMlaFPdk7ce9k9wryQsyeL7Hz2Rw\nacJfVtXuSwFPyGCm645p+9427AMAAJgXi+WerH3ZHQT/urX28uH7Dw+XoH1GBvdqHbCq+t4kp2dw\nPflslgAGAAAOT/dIclKS61tr/3mwBxuFkPXlJN/K4NrvqbYnecTw/a1JjqyqY6fNZh0/7JvJ6Un+\nvGehAADASHtKkjcd7EEWfchqre2qqn9Kcsq0rh/K4ObnZPBAyG9lsNrU1IUv/luSLXs59GeS5I1v\nfGNWr17duWpma8OGDbniiisWuowlzW+w8PwGC89vsPD8BgvL97/w/AYLa/v27fmlX/qlZJgRDtai\nCFlVdUySk5PUsOkBVfXgJLe31j6X5KVJ3lxV70vydxks1f6EJI9JktbaHVX1miSXV9VXMlji/eVJ\nbtzHyoLfSJLVq1dnzZo1h+iTsT8rV670/S8wv8HC8xssPL/BwvMbLCzf/8LzGywaXW4jWhQhK8lD\nMwhPbfi6bNj+uiRPba39dVU9I8nvJtmU5ONJfra1NnWWakOSu5K8LclRSa5L8lvzUz4AAMDAoghZ\nrbX3Zj8rHbbWXpvktfvo/2aSZw1fAAAAC2IUlnA/pJ7whGdk/foLMzExsdClAAAAh4ElH7K+8IVX\nZfPmU3PqqecKWgtgbGxsoUtY8vwGC89vsPD8BgvPb7CwfP8Lz29weKnW2kLXsCCqak2SrYOFCddk\n2bJrs27dTdm0aeMCVwYAAMynbdu2Ze3atUmytrW27WCPt+RnsnabnDwjV19940KXAQAAjDgh69sq\nu3YdnaU6swcAAPQhZH1by/LlO1NV+x8KAACwF0LW0LJl1+Xssx+50GUAAAAjblE8J2thtSxbdm1W\nr74iF1981UIXAwAAjLglP5N1n/s8M+vW3ZQtW67KihUrFrocAABgxC35max3vONVWbNmzUKXAQAA\nHCaW/EwWAABAT0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABA\nR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IW\nAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABA\nR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IW\nAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABA\nR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR0IWAABAR4si\nZFXVo6rq6qq6uaomq+rsfYz938Mx66e1H1VVm6vqy1U1UVVvq6p7H/rqAQAA7rYoQlaSY5J8KMkz\nk7S9DaqqJyV5eJKbZ+i+Msnjk5yb5NFJ7pvkqu6VAgAA7MMRC11AkrTWrktyXZJUVc00pqrul2RT\nktOTvHNa37FJnprkya219w7bfi3J9qp6WGvtA4ewfAAAgG9bLDNZ+zQMXq9PcmlrbfsMQ9ZmEBjf\ns7uhtfbxJJ9Ncuq8FAkAAJARCVlJXpjkztbaK/bSf8Kw/45p7bcN+wAAAObForhccF+qam2S9Ul+\nbKFrAQAA2J9FH7KSPDLJ9yf53JTbtb4ryeVV9duttQckuTXJkVV17LTZrOOHfXu1YcOGrFy5co+2\nsbGxjI2N9aofAABYJMbHxzM+Pr5H244dO7qeo1rb62J+C6KqJpOc01q7erj93UnuM23YuzK4R+vP\nWmufHC588aUMFr74q+F+pyTZnuQnZlr4oqrWJNm6devWrFmz5tB9IAAAYFHbtm1b1q5dmyRrW2vb\nDvZ4i2Imq6qOSXJykt1TVQ+oqgcnub219rkkX5k2fleSW1trn0yS1todVfWaDGa3vpJkIsnLk9xo\nZUEAAGA+LYqQleShSf4ug2dktSSXDdtfl8HS7NPNNP22IcldSd6W5KgMloT/re6VAgAA7MOiCFnD\nZ1vNeqXD4X1Y09u+meRZwxcAAMCCGJUl3AEAAEaCkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUA\nANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCR\nkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUA\nANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCR\nkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUA\nANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCR\nkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUA\nANCRkAUAANCRkAUAANCRkAUAANCRkAUAANDRoghZVfWoqrq6qm6uqsmqOntK3xFV9YdV9eGq+tpw\nzOuq6j7TjnFUVW2uqi9X1URVva2q7j3/nwYAAFjKFkXISnJMkg8leWaSNq3v6CQPSfL7SX4syZOS\nnJLk7dPGXZnk8UnOTfLoJPdNctWhKxkAAOA7HbHQBSRJa+26JNclSVXVtL47kpw+ta2q1iW5qap+\noLX2+ao6NslTkzy5tfbe4ZhfS7K9qh7WWvvAfHwOAACAxTKTdaCOy2DG66vD7bUZBMb37B7QWvt4\nks8mOXXeqwMAAJaskQtZVXVUkpckeVNr7WvD5hOS3Dmc9ZrqtmEfAADAvBipkFVVRyR5awazWM9c\n4HIAAAC+w6K4J2s2pgSsE5P81JRZrCS5NcmRVXXstNms44d9e7Vhw4asXLlyj7axsbGMjY31KRwA\nAFg0xsfHMz4+vkfbjh07up6jWpu+mN/CqqrJJOe01q6e0rY7YD0gyU+21m6fts+xSb6UwcIXfzVs\nOyXJ9iQ/MdPCF1W1JsnWrVu3Zs2aNYfs8wAAAIvbtm3bsnbt2iRZ21rbdrDHWxQzWVV1TJKTk+xe\nWfABVfXgJLcn+UIGS7E/JMkTkiyvquOH425vre1qrd1RVa9JcnlVfSXJRJKXJ7nRyoIAAMB8WhQh\nK8lDk/xdBvdatSSXDdtfl8Hzsc4atn9o2F7D7Z9M8g/Dtg1J7krytiRHZbAk/G/NQ+0AAADftihC\n1vDZVvtahGO/C3S01r6Z5FnDFwAAwIIYqdUFAQAAFjshCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMh\nCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAA\noCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMh\nCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAA\noCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMh\nCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAA\noCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMhCwAAoCMh\nCwAAoCMhCwAAoCMhCwAAoCMhCwAAoKNFEbKq6lFVdXVV3VxVk1V19gxjXlxVt1TV16vq3VV18rT+\no6pqc1V9uaomquptVXXv+fsUAAAAiyRkJTkmyYeSPDNJm95ZVS9Isi7J05M8LMnOJNdX1ZFThl2Z\n5PFJzk3y6CT3TXLVoS0bAABgT0csdAFJ0lq7Lsl1SVJVNcOQZye5qLX2juGY85LcluScJG+pqmOT\nPDXJk1tr7x2O+bUk26vqYa21D8zDxwAAAFg0M1l7VVWrkpyQ5D2721prdyS5Kcmpw6aHZhAYp475\neJLPThkDAABwyC36kJVBwGoZzFxNdduwL0mOT3LnMHztbQwAAMAhNwohCwAAYGQsinuy9uPWJJXB\nbNXU2azjk3xwypgjq+rYabNZxw/79mrDhg1ZuXLlHm1jY2MZGxs72LoBAIBFZnx8POPj43u07dix\no+s5qrXvWMxvQVXVZJJzWmtXT2m7JclLW2tXDLePzSBwnddae+tw+0sZLHzxV8MxpyTZnuQnZlr4\noqrWJNm6devWrFmz5pB/LgAAYHHatm1b1q5dmyRrW2vbDvZ4i2Imq6qOSXJyBjNWSfKAqnpwkttb\na5/LYHn2C6rqU0k+k+SiJJ9P8vZksBBGVb0myeVV9ZUkE0lenuRGKwsCAADzaVGErAxWB/y7DBa4\naEkuG7a/LslTW2uXVtXRSV6d5Lgk70tyZmvtzinH2JDkriRvS3JUBkvC/9b8lA8AADCwKELW8NlW\n+1yEo7W2McnGffR/M8mzhi8AAIAFYXVBAACAjoQsAACAjoQsAACAjoQsAACAjoQsAACAjoQsAACA\njoQsAACAjoQsAACAjoQsAACAjoQsAACAjoQsAACAjoQsAACAjoQsAACAjoQsAACAjoQsAACAjoQs\nAACAjoQsAACAjoQsAACAjoQsAACAjoQsAACAjoQsAACAjoQsAACAjoQsAACAjoQsAACAjoQsAACA\njoQsAACAjoQsAACAjoQsAACAjoQsAACAjoQsAACAjg46ZFXVMVV1RlU9sEdBAAAAo+yAQ1ZVvbGq\nnjl8f1SSDyT5myTbq+rszvUBAACMlLnMZJ2W5P3D909Kco8k35Pk+Uku7FQXAADASJpLyDouyX8O\n35+R5KrW2o4kf5XklF6FAQAAjKK5hKzPJ/nxqrpHBiHr3cP2lUm+0aswAACAUXTEHPZ5RZLxJDuS\nfCnJDcP2Ryb5SKe6AAAARtIBh6zW2pVV9c9JTkzyztbaXcOuL8Q9WQAAwBI3l5mstNb+cff7qqoM\n7sV6V2ttZ6/CAAAARtFclnC/tKp+dfh+WZL3JPlokluq6hF9ywMAABgtc1n44sm5+96rxyf54SQP\nSfK/k7ykU10AAAAjaS6XC947g/uvkkHIektr7cNV9bUkz+hWGQAAwAiay0zWF5OcMrxU8Iwkfzts\nv0eS1qswAACAUTSXmaw3JPmLJDcP93/XsP3Hk3y8U10AAAAjaS5LuJ9fVdszWML9za213Q8gPiLJ\nS3sWBwAAMGrmuoT7G2doe83BlwMAADDa5nJPVqrq4VX11qr61+HrLVX1sN7FAQAAjJq5PCfr55Pc\nmOTIJK8fvo5KcmNV/Vzf8gAAAEbLXC4XvDDJ+a21P5zaWFUvSLIxyVs71AUAADCS5nK54MlJrpqh\n/aokDzy4cgAAAEbbXELWzUkePUP7Y4Z9AAAAS9ZcLhe8MsnmqvrRJO8ftj0iydOTvKBXYQAAAKNo\nLs/JenlVfSnJc5P8+rD5Y0l+rbX2Fz2LAwAAGDVzfU7WeJLxzrUAAACMvDk9JwsAAICZzWomq6q+\nkKTNZmxr7b4HVREAAMAIm+3lghsPZREAAACHi1mFrNbaqw91IQAAAIcD92QBAAB0JGQBAAB0JGQB\nAAB0JGQBAAB0JGQBAAB0NNsl3L+tqt60l66W5BtJPpXkza21Tx9MYQAAAKNoLjNZleRxSR6TZOXw\n9Zhh2/cl+fUkH6mqh/cqEgAAYFQc8ExWko8l2ZnkGa21byVJVR2R5JVJbk3ypCSvSXJpBuELAABg\nyZjLTNYzk7x0d8BKkuH7yzIIXpNJrkjyf/UpEQAAYHTMJWTdI8kDZ2h/YJIjh++/nsFlhQAAAEvK\nXELWm5L8aVX9ZlU9dPj6zSR/OuxLkkcl+WivIqtqWVVdVFX/XlVfr6pPVdUFM4x7cVXdMhzz7qo6\nuVcNAAAAszGXe7LWJ/lykkuSHDds+2qSVyS5aLj93iR/f7DFTfHCJL+R5LwMwttDk7y2qr7aWntF\nklTVC5KsG475TJKLk1xfVatba3d2rAUAAGCvDjhktdZ2JXlRkhdV1b2HbV+cNubf+5T3bacmeXtr\n7brh9mer6heTPGzKmGcnuai19o4kqarzktyW5Jwkb+lcDwAAwIwO6mHErbUvTg9Yh8j7k/x0Vf1g\nklTVg5M8Isk7h9urkpyQ5D1TarsjyU0ZBDQAAIB5MZeHEX9vkpck+ekk9860oNZaO7pPaXt4SZJj\nk3ysqu4anvP81tqbh/0nZPAw5Num7XfbsA8AAGBezOWerNcmOSXJHyX5Qgbh5lD7hSS/mOTJGdyT\n9ZAkm6rqltbaG+bh/AAAALMyl5D1mCT/d2ttW+9i9uHSJH/QWnvrcPsjVXVSkt9J8oYMHoJcSY7P\nnrNZxyf54L4OvGHDhqxcuXKPtrGxsYyNjXUpHAAAWDzGx8czPj6+R9uOHTu6nmMuIeuWJHd1rWL/\njp7hnJMZXqrYWvt0Vd2awSWMH06Sqjo2ycOTbN7Xga+44oqsWbOme8EAAMDiM9OEyrZt27J27dpu\n55jLwhfPTfIHVTWf9zpdk+SCqnpcVd2/qp6UZEOSv5wy5srhmLOq6keTvD7J55O8fR7rBAAAlri5\nzGT9SQbPx7q5qm5PsmtqZ2vtvj0Km2ZdBs/g2pzBYhu3JHlV7n4uV1prl1bV0UlePazvfUnO9Iws\nAABgPs0lZG3sXcT+tNZ2JnnO8LWvcRuzAPUBAADsNpeHEb/6UBQCAABwOJhVyKqqI3dfdldVR+5r\nrMvzAACApWy2M1n/VVX3aa19Mck3su9nY33XwZcFAAAwmmYbsh6X5Pbh+zMPUS0AAAAjb1Yhq7V2\n/UzvAQAA2NNcVhdMVd0ryZoMllPf41lbrbW3dKgLAABgJB1wyKqqM5K8KYNnUd2ZPe/PakmELAAA\nYMlatv8h3+HKJH+R5Htba/dord1zyuvozvUBAACMlLmErBOTvLS19pXexQAAAIy6uYSsG5I8pHch\nAAAAh4O5LHzx1iQvq6ofSvJ/kuya2tlae1ePwgAAAEbRXELWa4d//q8Z+lo8jBgAAFjC5hKy7tm9\nCgAAgMPEAYes1to3D0UhAAAAh4NZhayqenqS17XWvjl8v1ettT/uUhkAAMAImu1M1u8nuSrJN4fv\n96YlEbIAAIAla1Yhq7V2n5neAwAAsKe5PCcLAACAvZjL6oKpquOTPD7Jf0ty5NS+1trvdqgLAABg\nJB1wyKrVGsNyAAAgAElEQVSqxyS5JsltSU5K8skkJya5K8lHexYHAAAwauZyueBLkryytfaDSb6R\n5AkZhKwbk7ymY20AAAAjZy4h60eS/Mnw/beS3LO19tUkFyQ5v1dhAAAAo2guIeu/cvdlhrcmecDw\n/beS3LtHUQAAAKNqLgtffCDJ/0jysSTXJ7m0qn4oyc8l+aeOtQEAAIycuYSs5yW51/D97yU5Lslv\nZLAAxvpOdQEAAIykAwpZVfVdSVZmMIuV1todSX61f1kAAACj6YDuyWqt3ZXkfUm+79CUw26ttYUu\nAQAAmIO5LHzx0QyWbKeziYmJrF9/YVatOi0nnnhOVq06LevXX5iJiYmFLg0AAJiludyT9fwkL6uq\n30myNcnOqZ2ttTt7FLbUTExM5NRTz8327c/J5OTGJJWkZfPm63PDDedmy5arsmLFigWuEgAA2J+5\nzGRdn2Tt8M8vZ7Ck+9QXc3D++S8bBqwzMghYSVKZnDwj27dvyAUXXLaQ5QEAALM0l5msM7tXQa65\n5sbhDNZ3mpw8I1dffXk2bZrfmgAAgAM365BVVb+X5GWttesPYT1LUmstu3Ydk7tnsKar7Np1dFpr\nqdrbGAAAYDE4kMsFL8zdz8eio6rK8uU7k+xtRcGW5ct3ClgAADACDiRk+S/8Q+issx6RZctmniRc\ntuy6nH32I+e5IgAAYC4OdOELD286RC655HlZvfryLFt2be7+mluWLbs2q1dfkYsvfu5ClgcAAMzS\ngS588Ymq2mfQaq19z0HUs2StWLEiW7ZclQsuuCxXX315du06OsuXfz1nn/2IXHyx5dsBAGBUHGjI\nujDJjkNRCIOgtWnTxmzaFItcAADAiDrQkPXm1toXD0kl7EHAAgCA0XQg92S5HwsAAGA/rC4IAADQ\n0awvF2ytHehKhAAAAEuO4AQAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCRkAUAANCR\nkAUAANCRkLUEtNYWugQAAFgyhKzD1MTERNavvzCrVp2WE088J6tWnZb16y/MxMTEQpcGAACHtSMW\nugD6m5iYyKmnnpvt25+TycmNSSpJy+bN1+eGG87Nli1XZcWKFQtcJQAAHJ7MZB2Gzj//ZcOAdUYG\nAStJKpOTZ2T79g254ILLFrI8AAA4rAlZh6Frrrkxk5Onz9g3OXlGrr76xnmuCAAAlg4h6zDTWsuu\nXcfk7hms6Sq7dh1tMQwAADhEhKzDTFVl+fKdSfYWolqWL9+Zqr2FMAAA4GAIWYehs856RJYtu37G\nvmXLrsvZZz9ynisCAIClQ8g6DF1yyfOyevXlWbbs2tw9o9WybNm1Wb36ilx88XMXsjwAADisCVmH\noRUrVmTLlquybt1NOemkx+Z+93tiTjrpsVm37ibLtwMAwCHmOVmHqRUrVmTTpo3ZtGmwGIZ7sAAA\nYH6YyVoCBCwAAJg/QhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHIxOyquq+VfWGqvpyVX29\nqv6lqtZMG/Piqrpl2P/uqjp5oeoFAACWppEIWVV1XJIbk3wzyelJVid5bpKvTBnzgiTrkjw9ycOS\n7ExyfVUdOe8FAwAAS9aoPIz4hUk+21p72pS2/5g25tlJLmqtvSNJquq8JLclOSfJW+alSgAAYMkb\niZmsJGcl+eeqektV3VZV26rq24GrqlYlOSHJe3a3tdbuSHJTklPnvVoAAGDJGpWQ9YAkv5nk40ke\nm+RVSV5eVb887D8hSctg5mqq24Z9AAAA82JULhdcluQDrbUXDbf/par+e5JnJHnDwpUFAACwp1EJ\nWV9Isn1a2/YkPzt8f2uSSnJ89pzNOj7JB/d14A0bNmTlypV7tI2NjWVsbOxg6gUAABah8fHxjI+P\n79G2Y8eOrueo1lrXAx4KVfXnSX6gtfaYKW1XJPnx1tojh9u3JHlpa+2K4faxGQSu81prb53hmGuS\nbN26dWvWrFkzvRsAAFgitm3blrVr1ybJ2tbatoM93qjMZF2R5Maq+p0MVgp8eJKnJfn1KWOuTHJB\nVX0qyWeSXJTk80nePr+lAgAAS9lIhKzW2j9X1ZOSvCTJi5J8OsmzW2tvnjLm0qo6OsmrkxyX5H1J\nzmyt3bkQNQMAAEvTSISsJGmtvTPJO/czZmOSjfNRDwAAwExGZQl3AACAkSBkAQAAdCRkAQAAdCRk\nAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAA\ndCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRk\nAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAA\ndCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRk\nAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAA\ndCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRk\nAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdCRkAQAAdDSSIauqXlhVk1V1+bT2F1fV\nLVX19ap6d1WdvFA1AgAAS9PIhayq+vEkT0/yL9PaX5Bk3bDvYUl2Jrm+qo6c9yIBAIAla6RCVlXd\nK8kbkzwtyVendT87yUWttXe01v41yXlJ7pvknPmtEgAAWMpGKmQl2ZzkmtbaDVMbq2pVkhOSvGd3\nW2vtjiQ3JTl1XisEAACWtCMWuoDZqqonJ3lIkofO0H1Ckpbktmnttw37AAAA5sVIhKyq+oEkVyY5\nrbW2a6HrAQAA2JuRCFlJ1ib5/iTbqqqGbd+V5NFVtS7Jg5JUkuOz52zW8Uk+uK8Db9iwIStXrtyj\nbWxsLGNjY51KBwAAFovx8fGMj4/v0bZjx46u56jWWtcDHgpVdUyS+09rfm2S7Ule0lrbXlW3JHlp\na+2K4T7HZhC4zmutvXWGY65JsnXr1q1Zs2bNIa0fAABYvLZt25a1a9cmydrW2raDPd5IzGS11nYm\n+ejUtqrameQ/W2vbh01XJrmgqj6V5DNJLkry+SRvn8dSAQCAJW4kQtZe7DEF11q7tKqOTvLqJMcl\neV+SM1trdy5EcQAAwNI0siGrtfZTM7RtTLJx3osBAAAYGrXnZAEAACxqQhYAAEBHQhYAAEBHQhYA\nAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBH\nQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYA\nAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYAAEBHQhYHrLW20CUAAMCiJWQxKxMT\nE1m//sKsWnVaTjzxnKxadVrWr78wExMTC10aAAAsKkcsdAEsfhMTEzn11HOzfftzMjm5MUkladm8\n+frccMO52bLlqqxYsWKBqwQAgMXBTBb7df75LxsGrDMyCFhJUpmcPCPbt2/IBRdctpDlAQDAoiJk\nsV/XXHNjJidPn7FvcvKMXH31jfNcEQAALF5CFvvUWsuuXcfk7hms6Sq7dh1tMQwAABgSstinqsry\n5TuT7C1EtSxfvjNVewthAACwtAhZ7NdZZz0iy5ZdP2PfsmXX5eyzHznPFQEAwOIlZLFfl1zyvKxe\nfXmWLbs2d89otSxbdm1Wr74iF1/83IUsDwAAFhUhi/1asWJFtmy5KuvW3ZSTTnps7ne/J+akkx6b\ndetusnw7AABM4zlZzMqKFSuyadPGbNo0WAzDPVgAADAzM1kcMAELAAD2TsgCAADoSMgCAADoSMgC\nAADoSMgCAADoSMgCAADoSMgCAADoSMgCAADoSMgCAADoSMgCAADoSMgCAADoSMgCAADoSMgCAADo\nSMgCAADoSMgCAADoSMgCAADoSMhiQbXWFroEAADoSshi3k1MTGT9+guzatVpOfHEc7Jq1WlZv/7C\nTExMLHRpAABw0I5Y6AJYWiYmJnLqqedm+/bnZHJyY5JK0rJ58/W54YZzs2XLVVmxYsUCVwkAAHNn\nJot5df75LxsGrDMyCFhJUpmcPCPbt2/IBRdctpDlAQDAQROymFfXXHNjJidPn7FvcvKMXH31jfNc\nEQAA9CVkMW9aa9m165jcPYM1XWXXrqMthgEAwEgTspg3VZXly3cm2VuIalm+fGeq9hbCAABg8ROy\nmFdnnfWILFt2/Yx9y5Zdl7PPfuQ8VwQAAH0JWcyrSy55XlavvjzLll2bu2e0WpYtuzarV1+Riy9+\n7kKWBwAAB03IYl6tWLEiW7ZclXXrbspJJz0297vfE3PSSY/NunU3Wb4dAIDDwkg8J6uqfifJk5I8\nKMl/JXl/khe01j4xbdyLkzwtyXFJbkzym621T81zuezHihUrsmnTxmzaNFgMwz1YAAAcTkZlJutR\nSf4oycOTnJZkeZJ3VdU9dw+oqhckWZfk6UkelmRnkuur6sj5L5fZErAAADjcjMRMVmvtcVO3q+pX\nk3wxydok/zhsfnaSi1pr7xiOOS/JbUnOSfKWeSsWAABY0kZlJmu64zJYNeH2JKmqVUlOSPKe3QNa\na3ckuSnJqQtRIAAAsDSNXMiqwfVlVyb5x9baR4fNJ2QQum6bNvy2YR8AAMC8GInLBad5ZZIfTvKI\nhS4EAABgupEKWVX1iiSPS/Ko1toXpnTdmqSSHJ89Z7OOT/LBfR1zw4YNWbly5R5tY2NjGRsb61Iz\nAACweIyPj2d8fHyPth07dnQ9R7XW9j9qERgGrCcmeUxr7d9n6L8lyUtba1cMt4/NIHCd11p76wzj\n1yTZunXr1qxZs+bQFg8AACxa27Zty9q1a5NkbWtt28EebyRmsqrqlUnGkpydZGdVHT/s2tFa+8bw\n/ZVJLqiqTyX5TJKLknw+ydvnuVwAAGAJG4mQleQZGSxs8ffT2n8tyeuTpLV2aVUdneTVGaw++L4k\nZ7bW7pzHOgEAgCVuJEJWa21WqyC21jYm2XhIiwEAANiHkVvCHQAAYDETsgAAADoSsgAAADoSsgAA\nADoSsgAAADoSsmAvRuVB3QAALC5CFkwxMTGR9esvzKpVp+XEE8/JqlWnZf36CzMxMbHQpQEAMCJG\n4jlZMB8m/v/27j7Irrq+4/j7u7oawRVHrchEdIO2JWJLBRRXfE6E1E6CGnyqLbSdjqUaloL40CYQ\naqEdlYdGu7a2HUGroMxQh2QkRjT0wRBguqD4sFpUAsiDUtBkG7Rsud/+cc42u8vdZLM59567975f\nM3dm95yzv/vd87u/3fu5v/MwPs7Q0GrGxs6m0TgfCCAZGdnC1q2r2b79agYGBmquUpIkSZ3OmSyp\ntHbtRWXAWkERsACCRmMFY2NnsW7dxXWWJ0mSpAXCkCWVNm3aRqNxUtN1jcYKNm7c1uaKJEmStBAZ\nsiSKi1xMTBzMnhmsmYKJiYO8GIYkSZL2yZAlARFBf/9uYLYQlfT37yZithAmSZIkFQxZUmnlyhPo\n69vSdF1f35dYterlba5IkiRJC5EhSypdeOE5LF16CX19m9kzo5X09W1m6dJLueCC99RZniRJkhYI\nQ5ZUGhgYYPv2q1mz5iYGB09k8eKTGRw8kTVrbvLy7ZIkSZoz75MlTTEwMMCGDeezYUNxMQzPwZIk\nSdL+ciZLmoUBS5IkSfNhyJIkSZKkChmyJEmSJKlChixJkiRJqpAhS5IkSZIqZMiSJEmSpAoZsiRJ\nkiSpQoYsSZIkSaqQIUuSJEmSKmTIkiRJkqQKGbIkSZIkqUKGLEmSJEmqkCFLkiRJkipkyJIkSZKk\nChmyJEmSJKlChixJkiRJqpAhS5IkSZIqZMiSJEmSpAoZsiRJkiSpQoYsSZIkSaqQIUuSJEmSKmTI\nkiRJkqQKGbIkSZIkqUKGLEmSJEmqkCFLkiRJkipkyJIkSZKkChmy1DUys+4SJEmSJEOWFrbx8XGG\nh9ezZMlyDj/8DSxZspzh4fWMj4/XXVpLGSglSZI61+PrLkCar/HxcYaGVjM2djaNxvlAAMnIyBa2\nbl3N9u1XMzAwUHOV1RkfH2ft2ovYtGkbExMH09+/m5UrT+DCC8/pqt9TkiRpoXMmSwvW2rUXlQFr\nBUXAAggajRWMjZ3FunUX11lepSYD5cjIEDt2XMc991zDjh3XMTIyxNDQ6q6fuZMkSVpIDFlasDZt\n2kajcVLTdY3GCjZu3NbmimZ3oIf39VKglCRJWugMWVqQMpOJiYPZEzhmCiYmDqr13KUqzxdbSIFS\nkiSp13lOlhakiKC/fzeQNA9aSX//biJmC2GtVeX5YvsTKOv6fSVJkrSHM1lasFauPIG+vi1N1/X1\nfYlVq17e5or2qPLwvumBspl6A6UkSZKmM2RpwbrwwnNYuvQS+vo2syeAJH19m1m69FIuuOA9tdVW\n9eF9nRwoJUmSNJ0hSwvWwMAA27dfzZo1NzE4eCKLF5/M4OCJrFlzU62Xb2/F+WKdHCglSZI0nedk\naUEbGBhgw4bz2bCBjjknqRXni00GynXrLmbjxkuYmDiI/v6HWbXqBC64oLvuByZJkrTQGbLUNToh\nYE1aufIERka2lOdkTTffw/s6MVBKkiTpsTxcUGqBVh/eZ8CSJEnqXIYsqQU69XwxSZIktZ6HC0ot\n4uF9kiRJvcmZLKkNDFiSJEm9w5AlSZIkSRUyZEmSJElShQxZkiRJklQhQ5YkSZIkVciQJakymbnv\njSRJkrqcIUvSARkfH2d4eD1Llizn8MPfwJIlyxkeXs/4+HjdpUmSJNXC+2RJPe5A7uE1Pj7O0NBq\nxsbOptE4HwggGRnZwtatq73xslrGe89JkjqZM1lSD6pq9mnt2ovKgLWCImABBI3GCsbGzmLduosP\nqE4PP9RUzppKkhYKQ5bUYyZnn0ZGhtix4zruuecaduy4jpGRIYaGVu/XG9ZNm7bRaJzUdF2jsYKN\nG7fNq75WvJE2sC1sVb5uJUlqta4LWRHx7oi4IyJ+HhE3RsSL665Js7vyyivrLqHnPHb26UrmM/uU\nmUxMHMyeGayZgomJg/Yr3FT9RnqhBLYrrriisraqrq3K9g6krVbPmnZqH3RrfzZjH9TbVpX7Hzr3\n96y6Pfug3rZa0V5lMrNrHsBbgV8ApwJHAp8AHgKe0WTbY4AcHR1N1WflypV1l9BzBgeXJTQSsnys\nnPJ1IwcHlx9AWzmjrWX7VdsZZ5yXfX2bm7bX13dtDg+vn3Nbu3btyqOOel3ZXuP/a+rr25xHHfW6\n3LVr137VtmvXrjzjjPNycHBZLl68KgcHl+UZZ5y33+00a2/RokMPqL1W1nag7VXV1r5fa3N/3Tar\nrZP6oBf6s1l79kG9bR3o/m9lbfZB/bV1UlutaC8zc3R0NIEEjskqckkVjXTKA7gR2DDl+wB+BLyv\nybaGrA5gyGqvRqORixevmvEGdeW07xcvXpWNRmNO7VUZijKrfSPd6YFtensr591e62ubf3tVtdX8\ndTv9sT+v2+a1dUYf9EJ/zt6efVBvW/Pf/538e3Zybb3SB53cn1MZsmYPWP3ABLBqxvLLgS802d6Q\n1QEMWe2375msuc8+7flDd+2MP3TX7vcfuqrfSHdqYGve3sp5t9f62ubfXpVttX7WtDP6oFf6s3l7\n9kG9bc1//3fy79nJtfVKH3Ryf05lyJrtF4HDgAZw/IzlHwK2N9nekNUBDFntV/Uf9V27duXw8Poc\nHFxeTtkvz+Hh9fP6JKmqN9KdHNiat9fKQzYPtLb5t9fJQbdT+6BX+rN5e/ZBvW3Nf/938u/ZybX1\nSh90cn9OVXXI6uX7ZC0CGBsbq7uOnrZz505uueWWusvoKW9+83K++MX3cscdt5P5MmAnMErEDQwO\nfpZTTvnIfvfJaaet4rTTVpG5595Ft99++37XdvzxR3DnnSNlXdNFbOOlL33enGtrNO4DRml+YY6k\n0biPW2+9dZ/tZCa7d08As2+7e/cjjI6Ozum+Tc3b2wns+b3m2l57aptfe1XX9tjXbXFPtvm8bju1\nD3qpP+2Demurcv+3p7b5tdXJtfVKH3Ryf840JRMs2q8fnEVkZhXt1C4i+oGHgdWZuXHK8suBQzLz\njTO2/23gs20tUpIkSVIne0dmHvClHrtmJiszJyJiFFgGbASIIsIuAz7a5Ee2AO8AdlBckVCSJElS\nb1oEDFJkhAPWNTNZABHxFooLXZwO3AycBZwCHJmZD9RYmiRJkqQe0TUzWQCZeVVEPAP4IHAo8HXg\nJAOWJEmSpHbpqpksSZIkSapbX90FSJIkSVI3MWRJkiRJUoV6NmRFxLsj4o6I+HlE3BgRL667pl4R\nEesjojHj8Z266+pmEfGKiNgYEfeU+3tVk20+GBH3RsTDEXFdRDy/jlq70b72f0Rc1mRMXFtXvd0o\nIv40Im6OiF0R8eOI+EJE/EqT7RwHLTKXPnAstFZEnB4R34iIneXjhohYMWMbx0CL7Gv/+/pvv4j4\nQLmfL5mx/IDHQU+GrIh4K3AxsB54EfANYEt50Qy1x7coLk7yrPLx8nrL6XoHU1wI5l0UdzOfJiLe\nD6wB3gm8BNhNMSae0M4iu9he939pM9PHxNvbU1rPeAXwMeB4YDnQD3w5Ip40uYHjoOX22Qclx0Lr\n3A28HzgGOBbYClwTEUvBMdAGe93/JV//bVJOsLyTIgdMXV7JOOjJC19ExI3ATZl5Zvl9ULzwP5qZ\nH661uB4QEeuBkzPzmLpr6UUR0QDeMOOm3fcCH8nMS8vvnwL8GDgtM6+qp9LuNMv+v4zipulvqq+y\n3lJ+qPYT4JWZ+bVymeOgjWbpA8dCm0XEg8A5mXmZY6D9Zux/X/9tEhFPBkaBPwbOBW7NzLPLdZWM\ng56byYqIfopPD746uSyLpPkVYKiuunrQL5eHTv0gIj4TEYfXXVCvioglFJ+WTR0Tu4CbcEy006vL\nQ6i+GxEfj4in1V1Ql3sqxaziQ+A4qMm0PpjCsdAGEdEXEW8DDgJucAy018z9P2WVr//2GAE2ZebW\nqQurHAdddZ+sOXoG8DiKRDrVj4FfbX85PelG4PeA7wGHAecD/xYRL8zM3TXW1aueRfFGp9mYeFb7\ny+lJm4GrgTuA5wF/BVwbEUPZi4cbtFh59MJfA1/LzMnzQR0HbTRLH4BjoeUi4oXAdmARMA68MTO/\nFxFDOAZabrb9X6729d8GZbj9DeC4Jqsr+1/QiyFLNcvMLVO+/VZE3AzcCbwFuKyeqqT6zDj84NsR\n8U3gB8CrgetrKaq7fRx4AXBC3YX0sKZ94Fhoi+8CRwOHAKcAn46IV9ZbUk9puv8z87u+/lsvIp5N\n8QHP8sycaOVz9dzhgsB/AY9SnFQ41aHA/e0vR5m5E/hPwCsY1eN+IHBMdIzMvIPib5VjomIR8TfA\n64FXZ+Z9U1Y5DtpkL33wGI6F6mXm/2bmDzPz1sxcS3HS/5k4BtpiL/u/2ba+/qt3LPBLwC0RMRER\nE8CrgDMj4hGKGatKxkHPhawytY4CyyaXlYctLGP6MbFqk/Lkw+cDe/1nq9Yo/4jfz/Qx8RSKK4A5\nJmpQftL2dBwTlSrf3J8MvCYz75q6znHQHnvrg1m2dyy0Xh/wRMdAbfqAJzZb4eu/Jb4C/BrF4YJH\nl4//AD4DHJ2ZP6SicdCrhwteAlweEaPAzcBZFCceXl5nUb0iIj4CbKI4RHAx8OfABHBlnXV1s4g4\nmCLIRrnoiIg4GngoM++mmDpfFxHfB3YAfwH8CLimhnK7zt72f/lYT3Ec/v3ldh+imN3d8tjWNB8R\n8XGKSyGvAnZHxOSnlDsz8xfl146DFtpXH5TjxLHQQhHxlxTn/dwFDADvoPgU/8RyE8dAC+1t//v6\nb4/y3P9p92aNiN3Ag5k5Vi6qZBz0ZMjKzKvKS8d+kGL67+vASZn5QL2V9YxnA1dQfDrzAPA14KWZ\n+WCtVXW34yiO587ycXG5/FPAH2TmhyPiIOATFFf8+nfgNzPzkTqK7UJ72//vAn4dOJVi399L8Q/1\nvFYfL95jTqfY9/8yY/nvA58GcBy03L764FEcC632TIq/O4cBO4HbgBMnr7DmGGi5Wfd/RCzC139d\npl1UpKpx0JP3yZIkSZKkVum5c7IkSZIkqZUMWZIkSZJUIUOWJEmSJFXIkCVJkiRJFTJkSZIkSVKF\nDFmSJEmSVCFDliRJkiRVyJAlSZIkSRUyZEmSNAcRcUdEDNddhySp8xmyJEkdJyIui4h/Lr++PiIu\naeNznxYRP22y6jjg79tVhyRp4Xp83QVIktQOEdGfmRNz2RTImQsz88Hqq5IkdSNnsiRJHSsiLgNe\nBZwZEY2IeDQinlOue2FEXBsR4xFxf0R8OiKePuVnr4+Ij0XEpRHxAPClcvlZEXFbRPx3RNwVESMR\ncVC57lXAJ4FDpjzfeeW6aYcLRsThEXFN+fw7I+LzEfHMKevXR8StEfE75c/+LCKujIiD27DrJEk1\nMmRJkjrZMLAd+AfgUOAw4O6IOAT4KjAKHAOcBDwTuGrGz58K/A/wMuD0ctmjwBnAC8r1rwE+XK67\nAfgTYNeU57toZlEREcBG4KnAK4DlwBHA52Zs+jzgZOD1wG9RBMYP7NcekCQtOB4uKEnqWJk5HhGP\nAA9n5gOTyyNiDXBLZp47ZdkfAndFxPMz8/vl4tsz8wMz2vzolG/viohzgb8F1mTmRETsLDbb83xN\nLAeOAgYz897y+U8Fvh0Rx2bm6GRZwGmZ+XC5zT8By4Bzm7QpSeoShixJ0kJ0NPDaiBifsTwpZo8m\nQ/Pp6pUAAAHHSURBVNbojPVExHKK2aQjgadQ/C98YkQsysxfzPH5jwTungxYAJk5FhE/A5ZOed4d\nkwGrdB/FjJskqYsZsiRJC9GTKQ7Xex/FbNFU9035evfUFRHxXGATMAL8GfAQxeF+/wg8AZhryJqr\nmRfaSDxUX5K6niFLktTpHgEeN2PZLcCbgDszs7EfbR0LRGaeM7kgIt42h+ebaQw4PCIWZ+Y9ZTsv\noDhH69v7UY8kqQv5aZokqdPtAI6PiOdOuXrgCPA04HMRcVxEHBERJ0XEJ8uLUszm+0B/RAxHxJKI\n+F3gj5o835Mj4rUR8fSIeNLMRjLzK8C3gM9GxIsi4iXAp4DrM/PWA/ptJUkLniFLktTpLqK4IuB3\ngJ9ExHMy8z7gBIr/Y1uA24BLgJ9m5uQ9rprd6+o24GyKwwy/CbydGVf7y8ztwN8Bnwd+Arx3lvZW\nAT8F/hX4MkWAmzkrJknqQbHnf5EkSZIk6UA5kyVJkiRJFTJkSZIkSVKFDFmSJEmSVCFDliRJkiRV\nyJAlSZIkSRUyZEmSJElShQxZkiRJklQhQ5YkSZIkVciQJUmSJEkVMmRJkiRJUoUMWZIkSZJUIUOW\nJEmSJFXo/wCZ5CopzL9y6QAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# TODO: Use a five-layer Net to overfit 50 training examples.\n", "\n", "num_train = 50\n", "small_data = {\n", " 'X_train': data['X_train'][:num_train],\n", " 'y_train': data['y_train'][:num_train],\n", " 'X_val': data['X_val'][:num_train],\n", " 'y_val': data['y_val'][:num_train],\n", "}\n", "\n", "weight_scales = [1e-1]\n", "learning_rates = [1e-3]\n", "from itertools import product\n", "for weight_scale, learning_rate in product(weight_scales, learning_rates):\n", " model = FullyConnectedNet([100, 100, 100, 100],\n", " weight_scale=weight_scale, dtype=np.float64)\n", " solver = Solver(model, small_data,\n", " print_every=10, num_epochs=20, batch_size=25,\n", " update_rule='sgd',\n", " optim_config={\n", " 'learning_rate': learning_rate,\n", " }\n", " )\n", " solver.train()\n", " print weight_scale, learning_rate\n", "\n", "plt.plot(solver.loss_history, 'o')\n", "plt.title('Training loss history')\n", "plt.xlabel('Iteration')\n", "plt.ylabel('Training loss')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Inline question: \n", "Did you notice anything about the comparative difficulty of training the three-layer net vs training the five layer net?\n", "\n", "# Answer:\n", "*In three-layer net we've achieved the overfit state by using small steps to large initialized weights. And in five-layer net we've get overfit with smaller initialized weights but large steps. It seems like five-layer net use more weights multiply, the net has to use small weights in order to keep the cross-entropy small.*\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Update rules\n", "So far we have used vanilla stochastic gradient descent (SGD) as our update rule. More sophisticated update rules can make it easier to train deep networks. We will implement a few of the most commonly used update rules and compare them to vanilla SGD." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# SGD+Momentum\n", "Stochastic gradient descent with momentum is a widely used update rule that tends to make deep networks converge faster than vanilla stochstic gradient descent.\n", "\n", "Open the file `cs231n/optim.py` and read the documentation at the top of the file to make sure you understand the API. Implement the SGD+momentum update rule in the function `sgd_momentum` and run the following to check your implementation. You should see errors less than 1e-8." ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "next_w error: 8.88234703351e-09\n", "velocity error: 4.26928774328e-09\n" ] } ], "source": [ "from cs231n.optim import sgd_momentum\n", "\n", "N, D = 4, 5\n", "w = np.linspace(-0.4, 0.6, num=N*D).reshape(N, D)\n", "dw = np.linspace(-0.6, 0.4, num=N*D).reshape(N, D)\n", "v = np.linspace(0.6, 0.9, num=N*D).reshape(N, D)\n", "\n", "config = {'learning_rate': 1e-3, 'velocity': v}\n", "next_w, _ = sgd_momentum(w, dw, config=config)\n", "\n", "expected_next_w = np.asarray([\n", " [ 0.1406, 0.20738947, 0.27417895, 0.34096842, 0.40775789],\n", " [ 0.47454737, 0.54133684, 0.60812632, 0.67491579, 0.74170526],\n", " [ 0.80849474, 0.87528421, 0.94207368, 1.00886316, 1.07565263],\n", " [ 1.14244211, 1.20923158, 1.27602105, 1.34281053, 1.4096 ]])\n", "expected_velocity = np.asarray([\n", " [ 0.5406, 0.55475789, 0.56891579, 0.58307368, 0.59723158],\n", " [ 0.61138947, 0.62554737, 0.63970526, 0.65386316, 0.66802105],\n", " [ 0.68217895, 0.69633684, 0.71049474, 0.72465263, 0.73881053],\n", " [ 0.75296842, 0.76712632, 0.78128421, 0.79544211, 0.8096 ]])\n", "\n", "print 'next_w error: ', rel_error(next_w, expected_next_w)\n", "print 'velocity error: ', rel_error(expected_velocity, config['velocity'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once you have done so, run the following to train a six-layer network with both SGD and SGD+momentum. You should see the SGD+momentum update rule converge faster." ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "running with sgd\n", "(Iteration 1 / 200) loss: 2.956642\n", "(Epoch 0 / 5) train acc: 0.121000; val_acc: 0.108000\n", "(Iteration 11 / 200) loss: 2.205249\n", "(Iteration 21 / 200) loss: 2.176804\n", "(Iteration 31 / 200) loss: 2.113858\n", "(Epoch 1 / 5) train acc: 0.267000; val_acc: 0.227000\n", "(Iteration 41 / 200) loss: 2.075545\n", "(Iteration 51 / 200) loss: 1.987820\n", "(Iteration 61 / 200) loss: 1.954597\n", "(Iteration 71 / 200) loss: 1.972527\n", "(Epoch 2 / 5) train acc: 0.335000; val_acc: 0.279000\n", "(Iteration 81 / 200) loss: 1.883036\n", "(Iteration 91 / 200) loss: 1.805802\n", "(Iteration 101 / 200) loss: 1.834979\n", "(Iteration 111 / 200) loss: 1.729811\n", "(Epoch 3 / 5) train acc: 0.358000; val_acc: 0.278000\n", "(Iteration 121 / 200) loss: 1.755314\n", "(Iteration 131 / 200) loss: 1.645358\n", "(Iteration 141 / 200) loss: 1.764290\n", "(Iteration 151 / 200) loss: 1.723175\n", "(Epoch 4 / 5) train acc: 0.426000; val_acc: 0.316000\n", "(Iteration 161 / 200) loss: 1.861538\n", "(Iteration 171 / 200) loss: 1.710939\n", "(Iteration 181 / 200) loss: 1.642872\n", "(Iteration 191 / 200) loss: 1.579719\n", "(Epoch 5 / 5) train acc: 0.395000; val_acc: 0.314000\n", "\n", "running with sgd_momentum\n", "(Iteration 1 / 200) loss: 2.425252\n", "(Epoch 0 / 5) train acc: 0.126000; val_acc: 0.115000\n", "(Iteration 11 / 200) loss: 2.208638\n", "(Iteration 21 / 200) loss: 1.949491\n", "(Iteration 31 / 200) loss: 1.918870\n", "(Epoch 1 / 5) train acc: 0.300000; val_acc: 0.281000\n", "(Iteration 41 / 200) loss: 1.819103\n", "(Iteration 51 / 200) loss: 1.915124\n", "(Iteration 61 / 200) loss: 1.813942\n", "(Iteration 71 / 200) loss: 1.795251\n", "(Epoch 2 / 5) train acc: 0.368000; val_acc: 0.329000\n", "(Iteration 81 / 200) loss: 1.630488\n", "(Iteration 91 / 200) loss: 1.777158\n", "(Iteration 101 / 200) loss: 1.757282\n", "(Iteration 111 / 200) loss: 1.669730\n", "(Epoch 3 / 5) train acc: 0.420000; val_acc: 0.356000\n", "(Iteration 121 / 200) loss: 1.561931\n", "(Iteration 131 / 200) loss: 1.566849\n", "(Iteration 141 / 200) loss: 1.477739\n", "(Iteration 151 / 200) loss: 1.585208\n", "(Epoch 4 / 5) train acc: 0.481000; val_acc: 0.350000\n", "(Iteration 161 / 200) loss: 1.613123\n", "(Iteration 171 / 200) loss: 1.575792\n", "(Iteration 181 / 200) loss: 1.389571\n", "(Iteration 191 / 200) loss: 1.280857\n", "(Epoch 5 / 5) train acc: 0.525000; val_acc: 0.346000\n", "\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABNAAAATbCAYAAABY9UgmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "num_train = 4000\n", "small_data = {\n", " 'X_train': data['X_train'][:num_train],\n", " 'y_train': data['y_train'][:num_train],\n", " 'X_val': data['X_val'],\n", " 'y_val': data['y_val'],\n", "}\n", "\n", "solvers = {}\n", "\n", "for update_rule in ['sgd', 'sgd_momentum']:\n", " print 'running with ', update_rule\n", " model = FullyConnectedNet([100, 100, 100, 100, 100], weight_scale=5e-2)\n", "\n", " solver = Solver(model, small_data,\n", " num_epochs=5, batch_size=100,\n", " update_rule=update_rule,\n", " optim_config={\n", " 'learning_rate': 1e-2,\n", " },\n", " verbose=True)\n", " solvers[update_rule] = solver\n", " solver.train()\n", " print\n", "\n", "plt.subplot(3, 1, 1)\n", "plt.title('Training loss')\n", "plt.xlabel('Iteration')\n", "\n", "plt.subplot(3, 1, 2)\n", "plt.title('Training accuracy')\n", "plt.xlabel('Epoch')\n", "\n", "plt.subplot(3, 1, 3)\n", "plt.title('Validation accuracy')\n", "plt.xlabel('Epoch')\n", "\n", "for update_rule, solver in solvers.iteritems():\n", " plt.subplot(3, 1, 1)\n", " plt.plot(solver.loss_history, 'o', label=update_rule)\n", " \n", " plt.subplot(3, 1, 2)\n", " plt.plot(solver.train_acc_history, '-o', label=update_rule)\n", "\n", " plt.subplot(3, 1, 3)\n", " plt.plot(solver.val_acc_history, '-o', label=update_rule)\n", " \n", "for i in [1, 2, 3]:\n", " plt.subplot(3, 1, i)\n", " plt.legend(loc='upper center', ncol=4)\n", "plt.gcf().set_size_inches(15, 15)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# RMSProp and Adam\n", "RMSProp [1] and Adam [2] are update rules that set per-parameter learning rates by using a running average of the second moments of gradients.\n", "\n", "In the file `cs231n/optim.py`, implement the RMSProp update rule in the `rmsprop` function and implement the Adam update rule in the `adam` function, and check your implementations using the tests below.\n", "\n", "[1] Tijmen Tieleman and Geoffrey Hinton. \"Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude.\" COURSERA: Neural Networks for Machine Learning 4 (2012).\n", "\n", "[2] Diederik Kingma and Jimmy Ba, \"Adam: A Method for Stochastic Optimization\", ICLR 2015." ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "next_w error: 9.52468751104e-08\n", "cache error: 2.64779558072e-09\n" ] } ], "source": [ "# Test RMSProp implementation; you should see errors less than 1e-7\n", "from cs231n.optim import rmsprop\n", "\n", "N, D = 4, 5\n", "w = np.linspace(-0.4, 0.6, num=N*D).reshape(N, D)\n", "dw = np.linspace(-0.6, 0.4, num=N*D).reshape(N, D)\n", "cache = np.linspace(0.6, 0.9, num=N*D).reshape(N, D)\n", "\n", "config = {'learning_rate': 1e-2, 'cache': cache}\n", "next_w, _ = rmsprop(w, dw, config=config)\n", "\n", "expected_next_w = np.asarray([\n", " [-0.39223849, -0.34037513, -0.28849239, -0.23659121, -0.18467247],\n", " [-0.132737, -0.08078555, -0.02881884, 0.02316247, 0.07515774],\n", " [ 0.12716641, 0.17918792, 0.23122175, 0.28326742, 0.33532447],\n", " [ 0.38739248, 0.43947102, 0.49155973, 0.54365823, 0.59576619]])\n", "expected_cache = np.asarray([\n", " [ 0.5976, 0.6126277, 0.6277108, 0.64284931, 0.65804321],\n", " [ 0.67329252, 0.68859723, 0.70395734, 0.71937285, 0.73484377],\n", " [ 0.75037008, 0.7659518, 0.78158892, 0.79728144, 0.81302936],\n", " [ 0.82883269, 0.84469141, 0.86060554, 0.87657507, 0.8926 ]])\n", "\n", "print 'next_w error: ', rel_error(expected_next_w, next_w)\n", "print 'cache error: ', rel_error(expected_cache, config['cache'])" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "next_w error: 1.13956917985e-07\n", "v error: 4.20831403811e-09\n", "m error: 4.21496319311e-09\n" ] } ], "source": [ "# Test Adam implementation; you should see errors around 1e-7 or less\n", "from cs231n.optim import adam\n", "\n", "N, D = 4, 5\n", "w = np.linspace(-0.4, 0.6, num=N*D).reshape(N, D)\n", "dw = np.linspace(-0.6, 0.4, num=N*D).reshape(N, D)\n", "m = np.linspace(0.6, 0.9, num=N*D).reshape(N, D)\n", "v = np.linspace(0.7, 0.5, num=N*D).reshape(N, D)\n", "\n", "config = {'learning_rate': 1e-2, 'm': m, 'v': v, 't': 5}\n", "next_w, _ = adam(w, dw, config=config)\n", "\n", "expected_next_w = np.asarray([\n", " [-0.40094747, -0.34836187, -0.29577703, -0.24319299, -0.19060977],\n", " [-0.1380274, -0.08544591, -0.03286534, 0.01971428, 0.0722929],\n", " [ 0.1248705, 0.17744702, 0.23002243, 0.28259667, 0.33516969],\n", " [ 0.38774145, 0.44031188, 0.49288093, 0.54544852, 0.59801459]])\n", "expected_v = np.asarray([\n", " [ 0.69966, 0.68908382, 0.67851319, 0.66794809, 0.65738853,],\n", " [ 0.64683452, 0.63628604, 0.6257431, 0.61520571, 0.60467385,],\n", " [ 0.59414753, 0.58362676, 0.57311152, 0.56260183, 0.55209767,],\n", " [ 0.54159906, 0.53110598, 0.52061845, 0.51013645, 0.49966, ]])\n", "expected_m = np.asarray([\n", " [ 0.48, 0.49947368, 0.51894737, 0.53842105, 0.55789474],\n", " [ 0.57736842, 0.59684211, 0.61631579, 0.63578947, 0.65526316],\n", " [ 0.67473684, 0.69421053, 0.71368421, 0.73315789, 0.75263158],\n", " [ 0.77210526, 0.79157895, 0.81105263, 0.83052632, 0.85 ]])\n", "\n", "print 'next_w error: ', rel_error(expected_next_w, next_w)\n", "print 'v error: ', rel_error(expected_v, config['v'])\n", "print 'm error: ', rel_error(expected_m, config['m'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once you have debugged your RMSProp and Adam implementations, run the following to train a pair of deep networks using these new update rules:" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": false, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "running with adam\n", "(Iteration 1 / 200) loss: 2.789542\n", "(Epoch 0 / 5) train acc: 0.123000; val_acc: 0.128000\n", "(Iteration 11 / 200) loss: 2.084409\n", "(Iteration 21 / 200) loss: 1.616024\n", "(Iteration 31 / 200) loss: 1.895117\n", "(Epoch 1 / 5) train acc: 0.382000; val_acc: 0.325000\n", "(Iteration 41 / 200) loss: 1.841622\n", "(Iteration 51 / 200) loss: 1.747537\n", "(Iteration 61 / 200) loss: 1.747081\n", "(Iteration 71 / 200) loss: 1.698806\n", "(Epoch 2 / 5) train acc: 0.447000; val_acc: 0.332000\n", "(Iteration 81 / 200) loss: 1.649734\n", "(Iteration 91 / 200) loss: 1.410891\n", "(Iteration 101 / 200) loss: 1.279838\n", "(Iteration 111 / 200) loss: 1.702202\n", "(Epoch 3 / 5) train acc: 0.460000; val_acc: 0.369000\n", "(Iteration 121 / 200) loss: 1.528448\n", "(Iteration 131 / 200) loss: 1.404203\n", "(Iteration 141 / 200) loss: 1.276361\n", "(Iteration 151 / 200) loss: 1.571273\n", "(Epoch 4 / 5) train acc: 0.502000; val_acc: 0.371000\n", "(Iteration 161 / 200) loss: 1.259861\n", "(Iteration 171 / 200) loss: 1.364674\n", "(Iteration 181 / 200) loss: 1.221187\n", "(Iteration 191 / 200) loss: 1.258824\n", "(Epoch 5 / 5) train acc: 0.565000; val_acc: 0.365000\n", "\n", "running with rmsprop\n", "(Iteration 1 / 200) loss: 4.106131\n", "(Epoch 0 / 5) train acc: 0.154000; val_acc: 0.138000\n", "(Iteration 11 / 200) loss: 2.131452\n", "(Iteration 21 / 200) loss: 2.070959\n", "(Iteration 31 / 200) loss: 1.989741\n", "(Epoch 1 / 5) train acc: 0.345000; val_acc: 0.301000\n", "(Iteration 41 / 200) loss: 1.854140\n", "(Iteration 51 / 200) loss: 1.854067\n", "(Iteration 61 / 200) loss: 1.728109\n", "(Iteration 71 / 200) loss: 1.799741\n", "(Epoch 2 / 5) train acc: 0.405000; val_acc: 0.347000\n", "(Iteration 81 / 200) loss: 1.645284\n", "(Iteration 91 / 200) loss: 1.453790\n", "(Iteration 101 / 200) loss: 1.475870\n", "(Iteration 111 / 200) loss: 1.480305\n", "(Epoch 3 / 5) train acc: 0.446000; val_acc: 0.371000\n", "(Iteration 121 / 200) loss: 1.648564\n", "(Iteration 131 / 200) loss: 1.558866\n", "(Iteration 141 / 200) loss: 1.321393\n", "(Iteration 151 / 200) loss: 1.586125\n", "(Epoch 4 / 5) train acc: 0.495000; val_acc: 0.348000\n", "(Iteration 161 / 200) loss: 1.280660\n", "(Iteration 171 / 200) loss: 1.413679\n", "(Iteration 181 / 200) loss: 1.423411\n", "(Iteration 191 / 200) loss: 1.466602\n", "(Epoch 5 / 5) train acc: 0.545000; val_acc: 0.373000\n", "\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABNAAAATbCAYAAABY9UgmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkiRJkiRJdTBAkyRJkiRJkurw/wFKwLqkTlkomAAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "learning_rates = {'rmsprop': 1e-4, 'adam': 1e-3}\n", "for update_rule in ['adam', 'rmsprop']:\n", " print 'running with ', update_rule\n", " model = FullyConnectedNet([100, 100, 100, 100, 100], weight_scale=5e-2)\n", "\n", " solver = Solver(model, small_data,\n", " num_epochs=5, batch_size=100,\n", " update_rule=update_rule,\n", " optim_config={\n", " 'learning_rate': learning_rates[update_rule]\n", " },\n", " verbose=True)\n", " solvers[update_rule] = solver\n", " solver.train()\n", " print\n", "\n", "plt.subplot(3, 1, 1)\n", "plt.title('Training loss')\n", "plt.xlabel('Iteration')\n", "\n", "plt.subplot(3, 1, 2)\n", "plt.title('Training accuracy')\n", "plt.xlabel('Epoch')\n", "\n", "plt.subplot(3, 1, 3)\n", "plt.title('Validation accuracy')\n", "plt.xlabel('Epoch')\n", "\n", "for update_rule, solver in solvers.iteritems():\n", " plt.subplot(3, 1, 1)\n", " plt.plot(solver.loss_history, 'o', label=update_rule)\n", " \n", " plt.subplot(3, 1, 2)\n", " plt.plot(solver.train_acc_history, '-o', label=update_rule)\n", "\n", " plt.subplot(3, 1, 3)\n", " plt.plot(solver.val_acc_history, '-o', label=update_rule)\n", " \n", "for i in [1, 2, 3]:\n", " plt.subplot(3, 1, i)\n", " plt.legend(loc='upper center', ncol=4)\n", "plt.gcf().set_size_inches(15, 15)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Train a good model!\n", "Train the best fully-connected model that you can on CIFAR-10, storing your best model in the `best_model` variable. We require you to get at least 50% accuracy on the validation set using a fully-connected net.\n", "\n", "If you are careful it should be possible to get accuracies above 55%, but we don't require it for this part and won't assign extra credit for doing so. Later in the assignment we will ask you to train the best convolutional network that you can on CIFAR-10, and we would prefer that you spend your effort working on convolutional nets rather than fully-connected nets.\n", "\n", "You might find it useful to complete the `BatchNormalization.ipynb` and `Dropout.ipynb` notebooks before completing this part, since those techniques can help you train powerful models." ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": false, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(Iteration 1 / 400) loss: 60.238696\n", "(Epoch 0 / 20) train acc: 0.139000; val_acc: 0.153000\n", "(Iteration 11 / 400) loss: 47.375787\n", "(Epoch 1 / 20) train acc: 0.368000; val_acc: 0.299000\n", "(Iteration 21 / 400) loss: 36.472878\n", "(Iteration 31 / 400) loss: 27.774057\n", "(Epoch 2 / 20) train acc: 0.387000; val_acc: 0.346000\n", "(Iteration 41 / 400) loss: 21.178437\n", "(Iteration 51 / 400) loss: 16.338218\n", "(Epoch 3 / 20) train acc: 0.480000; val_acc: 0.375000\n", "(Iteration 61 / 400) loss: 12.761115\n", "(Iteration 71 / 400) loss: 10.240114\n", "(Epoch 4 / 20) train acc: 0.477000; val_acc: 0.381000\n", "(Iteration 81 / 400) loss: 8.380010\n", "(Iteration 91 / 400) loss: 6.945416\n", "(Epoch 5 / 20) train acc: 0.454000; val_acc: 0.364000\n", "(Iteration 101 / 400) loss: 5.920383\n", "(Iteration 111 / 400) loss: 5.106876\n", "(Epoch 6 / 20) train acc: 0.491000; val_acc: 0.377000\n", "(Iteration 121 / 400) loss: 4.375428\n", "(Iteration 131 / 400) loss: 3.852074\n", "(Epoch 7 / 20) train acc: 0.474000; val_acc: 0.383000\n", "(Iteration 141 / 400) loss: 3.596206\n", "(Iteration 151 / 400) loss: 3.479178\n", "(Epoch 8 / 20) train acc: 0.478000; val_acc: 0.383000\n", "(Iteration 161 / 400) loss: 3.177829\n", "(Iteration 171 / 400) loss: 2.943119\n", "(Epoch 9 / 20) train acc: 0.449000; val_acc: 0.368000\n", "(Iteration 181 / 400) loss: 2.703828\n", "(Iteration 191 / 400) loss: 2.707024\n", "(Epoch 10 / 20) train acc: 0.460000; val_acc: 0.364000\n", "(Iteration 201 / 400) loss: 2.654844\n", "(Iteration 211 / 400) loss: 2.424562\n", "(Epoch 11 / 20) train acc: 0.506000; val_acc: 0.380000\n", "(Iteration 221 / 400) loss: 2.412390\n", "(Iteration 231 / 400) loss: 2.273688\n", "(Epoch 12 / 20) train acc: 0.483000; val_acc: 0.400000\n", "(Iteration 241 / 400) loss: 2.231013\n", "(Iteration 251 / 400) loss: 2.365353\n", "(Epoch 13 / 20) train acc: 0.459000; val_acc: 0.347000\n", "(Iteration 261 / 400) loss: 2.268925\n", "(Iteration 271 / 400) loss: 2.076143\n", "(Epoch 14 / 20) train acc: 0.504000; val_acc: 0.381000\n", "(Iteration 281 / 400) loss: 2.280944\n", "(Iteration 291 / 400) loss: 2.258954\n", "(Epoch 15 / 20) train acc: 0.487000; val_acc: 0.375000\n", "(Iteration 301 / 400) loss: 2.279166\n", "(Iteration 311 / 400) loss: 2.230061\n", "(Epoch 16 / 20) train acc: 0.518000; val_acc: 0.390000\n", "(Iteration 321 / 400) loss: 2.093318\n", "(Iteration 331 / 400) loss: 2.071964\n", "(Epoch 17 / 20) train acc: 0.490000; val_acc: 0.351000\n", "(Iteration 341 / 400) loss: 2.101811\n", "(Iteration 351 / 400) loss: 2.105824\n", "(Epoch 18 / 20) train acc: 0.490000; val_acc: 0.378000\n", "(Iteration 361 / 400) loss: 2.094506\n", "(Iteration 371 / 400) loss: 2.046929\n", "(Epoch 19 / 20) train acc: 0.456000; val_acc: 0.373000\n", "(Iteration 381 / 400) loss: 2.138620\n", "(Iteration 391 / 400) loss: 2.146352\n", "(Epoch 20 / 20) train acc: 0.508000; val_acc: 0.396000\n", "===accuracy is: 0.396 with lr, ws, reg 0.001 0.05 0.1 ===\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABMcAAATbCAYAAACdh9K3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAIABJREFUeJzs3X+U3Wd9H/j3c60hIOXiLPQEjGtn1NKNx5tAKrOQsbT0\nLNHKQ8jIsOI01W5Ie7o0m5bpsLKVkh4NSAFNNyGWzJDOprQ97TbQOCdFrBnRyFoHbQ7xeKISm8Wl\nniZLasdJADclYC4DgWvus3/MiJGGGVvWjObOzH29zpkj3+/z/fEZnfuHztuf7+cptdYAAAAAQC9q\ndLsAAAAAAOgW4RgAAAAAPUs4BgAAAEDPEo4BAAAA0LOEYwAAAAD0LOEYAAAAAD1LOAYAAABAzxKO\nAQAAANCzhGMAAAAA9CzhGADAFSqlfH8ppVNK+etXcO13LVz7D65Gbc/y7CuuGwBgqxGOAQBbxkLg\n82w/3yqlvHYNH1tXee1qrgcAYJW2dbsAAIA19BNLPv/NJHsXjpeLjs+uxcNqrb9XSnlBrfWbV3Dt\nN0opL0jSXotaAAC4MsIxAGDLqLX+6sWfSymDSfbWWu+5nOtLKc+vtf75c3zmcw7G1uJaAADWhtcq\nAYCeVEq5beE1yzeVUn6hlPInSb5aSnleKeUvlFLuLqV8ppTy1VLKl0spp0spNy+5x3fM7iql/Fop\n5U9LKTeUUj5WSmmVUp4spYwvufY7Zo6VUn5+4dgNpZQPLTz3z0opHyilPG/J9dtLKf9HKeWLpZSv\nlFI+XEr5vtXMMVv4O3mwlDK38NxTpZSXLznn2lLKPy6lPF5K+fOF3+2+Usp/c9E5N5VS7i2lfKGU\n8vVSyhMLv88LrqQuAICrSecYANDr3pNkLskvJNmR5FtJvj/JUJIPJ/nDJNcl+ekkv1VKubnW+l+e\n4X41SV+S+5P8VpLDC/f62VLK79da/9WzXFuT3Jvk95O8I8mrk7w1yeeS/NxF596T5MeS/IskD2X+\n9dF7c4UzzEopP5pkKvOvnI4laSZ5e5LpUspfrbV+buHUf7Hw+7x/oca/kOS1mf87+w+llOcv/O6d\nJHcn+c9JbkiyP8l3J/n6ldQHAHC1CMcAgF5XkuyutT797QOlfLLWOnDJSaXck+Q/ZH6O2YlnuWcz\nybtrrScXPn+glPKZJP9LkmcKxy7UM11rHb3o2pcuXPtzC7UMJhlO8o9qrWML5/2TUsqvJnnFs9x/\nJScyH8AN1lq/uvCcf5vk3yV5Z5K/u3DeUJLJWus/vOjaX7zov1+Z5Pokb6i1nrno+LuvsC4AgKvK\na5UAQK/7FxcHY8mls8BKKdeUUl6U5MtJHkuy6zLv+0+XfH4gyV+6jOtqkg8sOfbbSV5WSulb+Dy0\ncN4vLznvl3LpxgOXpZTSn/nOr39+IRhLklrrQ0k+keQNF53+lSSDpZSXrHC7Ly/8+fpSync911oA\nANabcAwA6HWPLz1QSmmUUv5BKeUPknwjyX/J/OuBfyXJtZdxzy9fHDIt+FKS/+oya3pimWtLku9Z\n+Px9Sb5Ra/2TJed99jLvv9T3Lfz5+8uszSa5vpRy4d+Nh5O8Kskfl1JmSinvLKVcuD611t9LMpnk\nbUm+WEr5jVLKT5dSvvsKawMAuKqEYwBAr1tuBta7k/x8krNJDibZl/mZXp/N5f376VsrHL/crq7V\nXn/V1Fr/dZK/nOR/S/Jk5uei/YdSyn9/0Tl/P8lfzfzf4XdnPix7pJTyvetfMQDAMxOOAQB8pwNJ\nfqPW+vdqrf+m1vqbtdZzSV7U7cIW/GGS7yqlXL/k+F9Zxf2S+Vcrl7opyZ/UWjsXDtRaP1drnay1\nvjHzQdlXk1w8gyy11kdqrcdrra9N8iNJ+jO/sQAAwIYiHAMAetlKOzt+K0u6tEopb0ny4qte0eU5\nm/n6/t6S438/V7BbZa318ST/Mcnfvvj1x1LKriR/LcnHFj5vW/p6ZK31ycx3kH3XwjkvvOgVzAv+\n/cKfZpABABuO3SoBgF620muKH0vyM6WUf5rkk5nfgfHHs8x8sm6otT64sJPkzy7sZPm7me/O2nnh\nlCu47Z1JppI8WEr5l0lemPmw7U+THF8458VJfr+U8m8yH3h9LfObA/xAFoO61yd578I5/1/mA7G/\nmeTPk3zkCuoCALiqhGMAwFb3TEHRSmvHMh/q/PXMzxz7ZObnjk0uc81y91jpvstdezn3W86PJ7lr\n4c83J/m/k7wlyWcyH0Q9m0ueU2s9U0r50cz/7seTfDPJx5P8bK31cwunPZX5XTj/h4VnlswHYG+t\ntf7LhXMeSvKbSd6Y5Lokc0k+lWRfrfXTl/m7AQCsm1LrlfyPRQAANppSyg8neTDJgVrr/9XtegAA\nNoNVzRwrpTxWSuks8/NLF53z7lLK50opXyul3F9KefnqywYA6G2llOcvc/jtSdpJHljncgAANq3V\nvlb5qiTXXPT5BzPf0v/rSVJKeUeSkSQ/mfkZHceTnC2lDNRav7nKZwMA9LJ3llJuSvKJzL8i+WOZ\nnzs2UWv9065WBgCwiazpa5WllPcl+dFa63+98PlzSX6x1nr3wucXZn43o79Za/31NXswAECPKaW8\nPslYkpuS7Ejyh0n+ZZJfqOZmAABctjULx0opfUk+l+SuWusvlFJ2JvmDJD9Ua33kovN+K8mnaq2H\n1uTBAAAAAHCF1nK3yjcluTbJv1r4/NLMt/g/ueS8JxfWVlRKeXGS2zL/Kubl7LYEAAAAwNb0/CT9\nSc7WWr+41jdfy3Dsbyc5U2v9whrc67Yk/3oN7gMAAADA1vA/J/nVtb7pmoRjpZQbk+xN8saLDn8h\nSUnyklzaPfaSJJ96lls+niQf+tCHMjAwsBYl0oMOHTqUu+++u9tlsIn5DrEWfI9YLd8hVst3iLXg\ne8Rq+Q6xGrOzs/mJn/iJZCEvWmtr1Tn2tzMfgP3GhQO11sdKKV/I/K5JjyTfHsj/miSTz3K/P0+S\ngYGB7Nq1a41KpNdce+21vj+siu8Qa8H3iNXyHWK1fIdYC75HrJbvEGvkqozeWnU4VkopSf5Wkv+z\n1tpZsvy+JGOllM9mPt17T5I/TvLR1T4XAAAAAFZrLTrH9ia5IfNbh1+i1vreUsr2JB9I8j1JfjvJ\n62ut31yD5wIAAADAqqw6HKu13p/kmmdYP5bk2GqfAwAAAABrrdHtAuBqOXjwYLdLYJPzHWIt+B6x\nWr5DrJbvEGvB94jV8h1iIyu11m7X8B1KKbuSPPTQQw8Z2AcAAADQwx5++OHccsstSXJLrfXhtb6/\nzjEAAAAAepZwDAAAAICeJRwDAAAAoGcJxwAAAADoWcIxAAAAAHqWcAwAAACAniUcAwAAAKBnCccA\nAAAA6FnCMQAAAAB6lnAMAAAAgJ4lHAMAAACgZwnHAAAAAOhZwjEAAAAAepZwDAAAAICeJRwDAAAA\noGcJxwAAAADoWcIxAAAAAHqWcAwAAACAniUcAwAAAKBnCccAAAAA6FnCMQAAAAB6lnAMAAAAgJ4l\nHAMAAACgZwnHAAAAAOhZwjEAAAAAepZwDAAAAICeJRwDAAAAoGcJxwAAAADoWcIxAAAAAHqWcAwA\nAACAniUcAwAAAKBnCccAAAAA6FnCMQAAAAB6lnAMAAAAgJ4lHAMAAACgZwnHAAAAAOhZwjEAAAAA\nepZwDAAAAICeJRwDAAAAoGcJxwAAAADoWcIxAAAAAHqWcAwAAACAniUcAwAAAKBnCccAAAAA6FnC\nMQAAAAB6lnAMAAAAgJ4lHAMAAACgZwnHAAAAAOhZwjEAAAAAepZwDAAAAICeJRwDAAAAoGcJxwAA\nAADoWcIxAAAAAHqWcAwAAACAniUcAwAAAKBnCccAAAAA6FnCMQAAAAB6lnAMAAAAgJ4lHAMAAACg\nZwnHAAAAAOhZwjEAAAAAepZwDAAAAICetepwrJTyslLKB0sp/6WU8rVSyqdLKbuWnPPuUsrnFtbv\nL6W8/HLu/WM/9tMZHT2aVqu12jIBAAAA4DusKhwrpXxPkukk30hyW5KBJHcm+dJF57wjyUiSn0ry\n6iRzSc6WUp73bPf//Od/OZOTgxkcPCAgAwAAAGDNrbZz7GeTPFFrfWut9aFa6x/WWn+z1vrYRee8\nPcl7aq0fq7V+JslPJnlZkjc+++1LOp2hzM4eytjYiVWWCgAAAACXWm04Npzkd0spv15KebKU8nAp\n5a0XFkspO5O8NMnHLxyrtX4lyfkkg5f7kE5nKFNT06ssFQAAAAAutdpw7C8l+btJfi/JviS/nOT9\npZS3LKy/NElN8uSS655cWLtMJe329tRaV1kuAAAAACzatsrrG0n+Xa31nQufP11K+YEkP53kg6u8\nd5JDSa5NkvzZn83k9ttvz8GDB3Pw4MHV3xoAAACADeWee+7JPffcc8mxp5566qo+c7Xh2OeTzC45\nNpvkf1z47y8kKUlekku7x16S5FPPfvu7k+xKo3Emf+fv7MrExLFVlgsAAADARrVcU9TDDz+cW265\n5ao9c7WvVU4n+f4lx74/yR8mycJg/i8k+ZELi6WUFyZ5TZIHn/32NY3GmQwM3J3jx+9cZakAAAAA\ncKnVhmN3J/nhUso/LKX85VLK/5TkrUn+8UXnvC/JWClluJTyg0l+JckfJ/nos938uuv+XkZGzmdm\n5lSazeYqSwUAAACAS63qtcpa6++WUt6U5OeTvDPJY0neXmv9tYvOeW8pZXuSDyT5niS/neT1tdZv\nPtv9P/axX86uXbsM4gcAAADgqljtzLHUWn8jyW88yznHkhx7rvd+73v/Sc6f/09pt3ekr28uw8O7\nMz5+WBcZAAAAAGti1eHY1fTrv/6K1PqBzM/0r5mcPJtz5w54zRIAAACANbHamWNXVa23Zj4YS5KS\nTmcos7OHMjZ2optlAQAAALBFbOhwbDmdzlCmpqa7XQYAAAAAW8CmC8eSknZ7uyH9AAAAAKzaJgzH\navr65lJKefZTAQAAAOAZbLpwrNG4L/v37+l2GQAAAABsARs6HCtlOsmF1ydrGo0zGRi4O8eP39nN\nsgAAAADYIrZ1u4Bn8uM//pn8zu/sS7u9PX19X8v+/btz/PipNJvNbpcGAAAAwBawocOxn/mZ/zW7\ndu1KrTWllG//CQAAAABrYUO/VpkkrVYrb3/7sezcuTc33PDG7Ny5N6OjR9NqtbpdGgAAAACb3Ibu\nHJubm8vg4IHMzt6RTudYkpKkZnLybM6dO5CZGa9YAgAAAHDlNnTn2OTkBxeCsaHMB2NJUtLpDGV2\n9lDGxk50szwAAAAANrkNHY594hP/bzqd25Zd63SGMjU1vc4VAQAAALCVbOhw7OmnX5DFjrGlStrt\n7am1rmdJAAAAAGwhGzoc27bt60lWCr9q+vrm7F4JAAAAwBXb0OHYa1/7Q2k0zi671mjcl/3796xz\nRQAAAABsJRs6HHvb296SgYGTaTTOZLGDrKbROJOBgbtz/Pid3SwPAAAAgE1uQ4djO3bsyMzMqYyM\nnE9//75cf/3t6e/fl5GR85mZOZVms9ntEgEAAADYxLZ1u4Bn02w2MzFxLBMTSa312zPGDOIHAAAA\nYLU2dOfYUl/96lczOno0O3fuzQ03vDE7d+7N6OjRtFqtbpcGAAAAwCa04TvHLmi1WhkcPJDZ2TvS\n6RxLUpLUTE6ezblzB7xmCQAAAMBztmk6x44cuWshGBvKfDCWJCWdzlBmZw9lbOxEN8sDAAAAYBPa\nNOHY6dPT6XRuW3at0xnK1NT0OlcEAAAAwGa3KcKxWmva7R1Z7BhbqqTd3m5IPwAAAADPyaYIx0op\n6eubS7JS+FXT1zf37Z0sAQAAAOBybIpwLEmGh3en0Ti77FqjcV/279+zzhUBAAAAsNltmnBsfPxw\nBgZOptE4k8UOsppG40wGBu7O8eN3drM8AAAAADahTROONZvNzMycysjI+fT378v119+e/v59GRk5\nn5mZU2k2m90uEQAAAIBNZlu3C3gums1mJiaOZWJifki/GWMAAAAArMam6Rxb6uJgzC6VAAAAAFyJ\nTRuOtVqtjI4ezc6de3PDDW/Mzp17Mzp6NK1Wq9ulAQAAALBJbKrXKi9otVoZHDyQ2dk70ukcS1KS\n1ExOns25cwfMIAMAAADgsmzKzrEjR+5aCMaGMh+MJUlJpzOU2dlDGRs70c3yAAAAANgkNmU4dvr0\ndDqd25Zd63SGMjU1vc4VAQAAALAZbbpwrNaadntHFjvGlippt7cb0g8AAADAs9p04VgpJX19c0lW\nCr9q+vrmLtnNEgAAAACWs+nCsSQZHt6dRuPssmuNxn3Zv3/POlcEAAAAwGa0KcOx8fHDGRg4mUbj\nTBY7yGoajTMZGLg7x4/f2c3yAAAAANgkNmU41mw2MzNzKiMj59Pfvy/XX397+vv3ZWTkfB588MNp\nNpvdLhEAAACATWBThmPJfEA2MXEsjz12fx599IMZHr41U1MP5Oab35KdO/dmdPRoWq1Wt8sEAAAA\nYAPb1u0CVqvVauXWW9+c2dk70ukcy/wuljWTk2dz7tyBzMyc0kkGAAAAwLI2befYBUeO3LUQjA1l\nPhhLkpJOZyizs4cyNnaim+UBAAAAsIFt+nDs9OnpdDq3LbvW6Qxlamp6nSsCAAAAYLPY1OFYrTXt\n9o4sdowtVdJub0+tdYV1AAAAAHrZpg7HSinp65tLslL4VdPXN5dSVgrPAAAAAOhlmzocS5Lh4d1p\nNM4uu9Zo3Jf9+/esc0UAAAAAbBabPhwbHz+cgYGTaTTOZLGDrKbROJOBgbtz/Pid3SwPAAAAgA1s\n04djzWYzMzOnMjJyPv39+3L99benv39fRkbO58EHP5xms9ntEgEAAADYoDZ9OJbMB2QTE8fy2GP3\n59FHP5jh4VszNfVAbr75Ldm5c29GR4+m1Wp1u0wAAAAANpht3S5gLbVardx665szO3tHOp1jmd/F\nsmZy8mzOnTuQmZlTOskAAAAA+LYt0Tl2wZEjdy0EY0OZD8aSpKTTGcrs7KGMjZ3oZnkAAAAAbDBb\nKhw7fXo6nc5ty651OkOZmppe54oAAAAA2Mi2TDhWa027vSOLHWNLlbTb21NrXWEdAAAAgF6zZcKx\nUkr6+uaSrBR+1fT1zaWUlcIzAAAAAHrNlgnHkmR4eHcajbPLrjUa92X//j3rXBEAAAAAG9mWCsfG\nxw9nYOBkGo0zWewgq2k0zmRg4O4cP35nN8sDAAAAYIPZUuFYs9nMzMypjIycT3//vlx//e3p79+X\nkZHzmZk5lWaz2e0SAQAAANhAtnW7gLXWbDYzMXEsExPzQ/rNGAMAAABgJVuqc2ypi4Mxu1QCAAAA\nsNSWDsdarVZGR49m5869ueGGN2bnzr0ZHT2aVqvV7dIAAAAA2AC23GuVF7RarQwOHsjs7B3pdI4l\nKUlqJifP5ty5A2aQAQAAALB1O8eOHLlrIRgbynwwliQlnc5QZmcPZWzsRDfLAwAAAGAD2LLh2OnT\n0+l0blt2rdMZytTU9DpXBAAAAMBGsyXDsVpr2u0dWewYW6qk3d5uSD8AAABAj9uS4VgpJX19c0lW\nCr9q+vrmLtnNEgAAAIDes6pwrJRytJTSWfLz6JJz3l1K+Vwp5WullPtLKS9fXcmXZ3h4dxqNs8uu\nNRr3Zf/+PetRBgAAAAAb2Fp0jn0myUuSvHTh59upUynlHUlGkvxUklcnmUtytpTyvDV47jMaHz+c\ngYGTaTTOZLGDrKbROJOBgbtz/PidV7sEAAAAADa4tQjHnq61/mmt9T8v/PzZRWtvT/KeWuvHaq2f\nSfKTSV6W5I1r8Nxn1Gw2MzNzKiMj59Pfvy/XX397+vv3ZWTkfB588MNpNptXuwQAAAAANri1CMf+\nSinlT0opf1BK+VAp5YYkKaXszHwn2ccvnFhr/UqS80kG1+C5z6rZbGZi4lgee+z+PProBzM8fGum\nph7IzTe/JTt37s3o6NG0Wq31KAUAAACADWjbKq//nSR/K8nvJbkuybEknyil/EDmg7Ga5Mkl1zy5\nsLZuWq1Wbr31zZmdvSOdzrHM72JZMzl5NufOHcjMzCmdZAAAAAA9aFXhWK314on3nyml/Lskf5jk\nryf5j6u5d5IcOnQo11577SXHDh48mIMHDz6n+xw5ctdCMDZ00dGSTmcos7M1Y2MnMjFxbLXlAgAA\nALAK99xzT+65555Ljj311FNX9Zml1vrsZz2XG84HZPcn+edJ/iDJD9VaH7lo/beSfKrWeugZ7rEr\nyUMPPfRQdu3ateqadu7cm8cfvz/zHWNL1fT378tjj92/6ucAAAAAsLYefvjh3HLLLUlyS6314bW+\n/1rMHPu2Usp3J3l5ks/VWh9L8oUkP3LR+guTvCbJg2v53GdSa027vSPLB2NJUtJub89ah4QAAAAA\nbHyreq2ylPKLSU5n/lXK65P8XJJ2kl9bOOV9ScZKKZ9N8niS9yT54yQfXc1zn2ON6euby/z4s+U7\nx/r65lLKSuEZAAAAAFvVajvH/mKSX838fLFfS/KnSX641vrFJKm1vjfJLyX5QOZ3qXxBktfXWr+5\nyuc+J8PDu9NonF12rdG4L/v371nPcgAAAADYIFY7kP9ZJ+PXWo9lfhfLrhkfP5xz5w5kdrYuDOWf\n362y0bgvAwN35/jxU90sDwAAAIAuWdOZYxtVs9nMzMypjIycT3//vlx//e3p79+XkZHzefDBD6fZ\nbHa7RAAAAAC6oCfCsWQ+IJuYOJbHHrs/jz76wQwP35qpqQdy881vyc6dezM6ejStVqvbZQIAAACw\njlb1WuVm1Gq1cuutb87s7B3pdI7lwiuWk5Nnc+7cgczMnNJJBgAAANAjeqZz7IIjR+5aCMYuzB5L\nkpJOZyizs4cyNnaim+UBAAAAsI56Lhw7fXo6nc5ty651OkOZmppe54oAAAAA6JaeCsdqrWm3d2Sx\nY2ypknZ7e2qt61kWAAAAAF3SU+FYKSV9fXNJVgq/avr65lLKSuEZAAAAAFtJT4VjSTI8vDuNxtll\n1xqN+7J//551rggAAACAbum5cGx8/HAGBk6m0TiTxQ6ymkbjTAYG7s7x43d2szwAAAAA1lHPhWPN\nZjMzM6cyMnI+/f37cv31t6e/f19GRs7nwQc/nGaz2e0SAQAAAFgnPReOJfMB2cTEsTz22P159NEP\nZnj41kxNPZCbb35Ldu7cm9HRo2m1Wt0uEwAAAICrbFu3C+imVquVW299c2Zn70incyzzu1jWTE6e\nzblzBzIzc0onGQAAAMAW1pOdYxccOXLXQjA2lPlgLElKOp2hzM4eytjYiW6WBwAAAMBV1tPh2OnT\n0+l0blt2rdMZytTU9DpXBAAAAMB66tlwrNaadntHFjvGlippt7en1rrCOgAAAACbXc+GY6WU9PXN\nJVkp/Krp65tLKSuFZwAAAABsdj0bjiXJ8PDuNBpnl11rNO7L/v171rkiAAAAANZTT4dj4+OHMzBw\nMo3GmSx2kNU0Gmdy000nc/z4nd0sDwAAAICrrKfDsWazmZmZUxkZOZ/+/n257ro3pNl8ZXbseGe+\n9KXn5xWveFNGR4+m1Wp1u1QAAAAAroKeDseS+YBsYuJYHnnkI3nRi9qZm3tvWq1P5vOfP53HH78/\nk5ODGRw8ICADAAAA2IJ6Phy74MiRuzI7e0c6naEs7mBZ0ukMZXb2UMbGTnSzPAAAAACuAuHYgtOn\np9Pp3LbsWqczlKmp6XWuCAAAAICrTTiWpNaadntHFjvGlippt7en1rrCOgAAAACbkXAsSSklfX1z\nWdyxcqmavr65lLJSeAYAAADAZiQcWzA8vDuNxtll1xqN+7J//551rggAAACAq004tmB8/HAGBk6m\n0TiTxQ6ymkbjTAYG7s7x43d2szwAAAAArgLh2IJms5mZmVMZGTmf/v59uf7629Pfvy8jI+czM3Mq\nzWaz2yUCAAAAsMa2dbuAjaTZbGZi4lgmJuaH9JsxBgAAALC16RxbwcXBmF0qAQAAALYm4dgKWq1W\nRkePZufOvbnhhjdm5869GR09mlar1e3SAAAAAFgjXqtcRqvVyuDggczO3pFO51iSkqRmcvJszp07\nYAYZAAAAwBahc2wZR47ctRCMDWU+GEuSkk5nKLOzhzI2dqKb5QEAAACwRoRjyzh9ejqdzm3LrnU6\nQ5maml7nigAAAAC4GoRjS9Ra027vyGLH2FIl7fZ2Q/oBAAAAtgDh2BKllPT1zSVZKfyq6eubu2Q3\nSwAAAAA2J+HYMoaHd6fROLvMSk2jcV/279+z7jUBAAAAsPaEY8sYHz+cgYGTaTTOJPlKkqNJ9iYZ\nyjXX/Ey+8Y1vpNVqdbdIAAAAAFZNOLaMZrOZmZlT+amf+kT6+l6V5NVJ7k9yNu32v88/+2d/LYOD\nBwRkAAAAAJuccGwFzWYzfX3Py7e+9f4kb8jigP6STmcos7OHMjZ2oosVAgAAALBawrFncPr0dDqd\n25Zd63SGMjU1vc4VAQAAALCWhGMrqLWm3d6RxY6xpUra7e2pdaVdLQEAAADY6IRjKyilpK9vLslK\n4VdNX99cSlkpPAMAAABgoxOOPYPh4d1pNM4uu9Zo3Jf9+/esc0UAAAAArCXh2DMYHz+cgYGTaTTO\nZLGDrKbROJOBgbtz/Pid3SwPAAAAgFUSjj2DZrOZmZlTGRk5n/7+fbn++tvT378vIyPn8+CDH06z\n2ex2iQAAAACsgnDsWTSbzUxMHMtjj92fRx/9YIaHb83U1AO5+ea3ZOfOvRkdPZpWq9XtMgEAAAC4\nAtu6XcBm0Wq1cuutb87s7B3pdI5lfhfLmsnJszl37kBmZk7pJAMAAADYZHSOXaYjR+5aCMaGMh+M\nJUlJpzOU2dlDGRs70c3yAAAAALgCwrHLdPr0dDqd25Zd63SGMjU1vc4VAQAAALBawrHLUGtNu70j\nix1jS5W029tTa11hHQAAAICNSDh2GUop6eubS7JS+FXT1zeXUlYKzwAAAADYiIRjl2l4eHcajbPL\nrjUa92X//j3rXBEAAAAAqyUcu0zj44czMHAyjcaZLHaQ1TQaZ3LTTSdz/Pid3SwPAAAAgCsgHLtM\nzWYzMzPmkAhAAAAgAElEQVSnMjJyPv39+3LddW9Is/nK7NjxznzpS8/PK17xpoyOHk2r1ep2qQAA\nAABcJuHYc9BsNjMxcSyPPPKRvOhF7czNvTet1ifz+c+fzuOP35/JycEMDh4QkAEAAABsEsKxK3Dk\nyF2Znb0jnc5QFnewLOl0hjI7eyhjYye6WR4AAAAAl0k4dgVOn55Op3PbsmudzlCmpqbXuSIAAAAA\nroRw7Dmqtabd3pHFjrGlStrt7am1rrAOAAAAwEYhHHuOSinp65vL4o6VS9X09c2llJXCMwAAAAA2\nCuHYFRge3p1G4+yya43Gfdm/f886VwQAAADAlRCOXYHx8cMZGDiZRuNMFjvIahqNM7npppM5fvzO\nbpYHAAAAwGUSjl2BZrOZmZlTGRk5n/7+fbnuujek2Xxldux4Z770pefnFa94U0ZHj6bVanW7VAAA\nAACegXDsCjWbzUxMHMsjj3wkL3pRO3Nz702r9cl8/vOn8/jj92dycjCDgwcEZAAAAAAbmHBslY4c\nuSuzs3ek0xnK4g6WJZ3OUGZnD2Vs7EQ3ywMAAADgGaxpOFZK+dlSSqeUcnLJ8XeXUj5XSvlaKeX+\nUsrL1/K53XT69HQ6nduWXet0hjI1Nb3OFQEAAABwudYsHCul/LdJfirJp5ccf0eSkYW1VyeZS3K2\nlPK8tXp2t9Ra027vyGLH2FIl7fb21FpXWAcAAACgm9YkHCulfHeSDyV5a5IvL1l+e5L31Fo/Vmv9\nTJKfTPKyJG9ci2d3UyklfX1zWdyxcqmavr65lLJSeAYAAABAN61V59hkktO11nMXHyyl7Ezy0iQf\nv3Cs1vqVJOeTDK7Rs7tqeHh3Go2zy641Gvdl//4961wRAAAAAJdr22pvUEr5G0l+KMmrlll+aebb\nqp5ccvzJhbVNb3z8cM6dO5DZ2XrRUP6aRuO+3HTTyRw//pFulwgAAADAClYVjpVS/mKS9yXZW2tt\nr01Jiw4dOpRrr732kmMHDx7MwYMH1/pRV6zZbGZm5lTGxk5kaupkvvGN5+WrX/2jJM/Ll750XV7x\nijdleHh3xscPp9lsdrtcAAAAgA3rnnvuyT333HPJsaeeeuqqPrOsZlh8KeX2JB9J8q0sTqW/JvPd\nYt9KclOSzyb5oVrrIxdd91tJPlVrPbTCfXcleeihhx7Krl27rri+9dZqtTI4eCCzs3cs7GB5oYvs\nbAYGTmZm5pSADAAAAOA5ePjhh3PLLbckyS211ofX+v6rnTn2m0l+MPOvVb5y4ed3Mz+c/5W11v+U\n5AtJfuTCBaWUFyZ5TZIHV/nsDefIkbsWgrELr1cmSUmnM5TZ2UMZGzvRzfIAAAAAWGJV4Vitda7W\n+ujFP0nmknyx1jq7cNr7koyVUoZLKT+Y5FeS/HGSj66q8g3o9OnphY6x79TpDGVqanqdKwIAAADg\nmax6IP8yLnlPs9b63lLK9iQfSPI9SX47yetrrd+8Cs/umlpr2u0dWewYW6qk3d6eWmtKWekcAAAA\nANbTmodjtdbXLXPsWJJja/2sjaSUkr6+ucxng8uFXzV9fXOCMQAAAIANZLUzx7jI8PDuNBpnl11r\nNO7L/v171rkiAAAAAJ6JcGwNjY8fzsDAyTQaZ7L4dmlNo3EmAwN35/jxO7tZHgAAAABLCMfWULPZ\nzMzMqYyMnE9//75cf/3t6e/fl5GR83nwwQ+n2Wx2u0QAAAAALiIcW2PNZjMTE8fy2GP359FHP5jh\n4VszNfVAbr75Ldm5c29GR4+m1Wp1u0wAAAAAcnV2qyRJq9XKrbe+ObOzd6TTOZb5If01k5Nnc+7c\ngczMnNJJBgAAANBlOseukiNH7loIxoayuHtlSaczlNnZQxkbO9HN8gAAAACIcOyqOX16Op3Obcuu\ndTpDmZqaXueKAAAAAFhKOHYV1FrTbu/IYsfYUiXt9vbUWldYBwAAAGA9CMeuglJK+vrmkqwUftX0\n9c2llJXCMwAAAADWg3DsKhke3p1G4+yya6Wcyf79e9a5IgAAAACWEo5dJePjhzMwcDKNxpnMd5C1\nkrwrye5cc8147r33ExkdPZpWq9XdQgEAAAB6mHDsKmk2m5mZOZWRkfO58cbXZdu2VyV5TZIH8vTT\n03niiY9ncnIwg4MHBGQAAAAAXSIcu4qazWYmJo7l9ttfm07nfUnekMUh/SWdzlBmZw9lbOxEF6sE\nAAAA6F3CsXVw+vR0Op2hZdc6naFMTU2vc0UAAAAAJMKxq67WmnZ7RxY7xpYqabe3p9aVdrYEAAAA\n4GoRjl1lpZT09c1lfij/cmr6+uZSykrhGQAAAABXi3BsHQwP706jcXbZtVLOZP/+PetcEQAAAACJ\ncGxdjI8fzsDAyTQaZzLfQdZK8q4ku3PNNeO5995PZHT0qF0rAQAAANaZcGwdNJvNzMycysjI+dx4\n4+uybdurkrwmyQN5+unpPPHExzM5OZjBwQMCMgAAAIB1JBxbJ81mMxMTx3L77a9Np/O+JG/I4pD+\nkk5nKLOzhzI2dqKLVQIAAAD0FuHYOjt9ejqdztCya53OUKampte5IgAAAIDeJRxbR7XWtNs7stgx\ntlRJu709ta60syUAAAAAa0k4to5KKenrm8v8UP7l1PT1zaWUlcIzAAAAANaScGydDQ/vTqNxdtm1\nRuO+7N+/Z50rAgAAAOhdwrF1Nj5+OAMDJ9NonMliB1lNo3EmN910MseP39nN8gAAAAB6inBsnTWb\nzczMnMrIyPn09+/Ldde9Ic3mK7NjxzvzpS89P694xZsyOno0rVar26UCAAAAbHnCsS5oNpuZmDiW\nRx75SF70onbm5t6bVuuT+fznT+fxx+/P5ORgBgcPCMgAAAAArjLhWBcdOXJXZmfvSKczlMUdLEs6\nnaHMzh7K2NiJbpYHAAAAsOUJx7ro9OnpdDq3LbvW6Qxlamp6nSsCAAAA6C3CsS6ptabd3pHFjrGl\nStrt7am1rrAOAAAAwGoJx7qklJK+vrks7li5VE1f31xKWSk8AwAAAGC1hGNdNDy8O43G2WXXSjmT\n/fv3rHNFAAAAAL1FONZF4+OHMzBwMo3Gmcx3kLWSvCvJ7lxzzXjuvfcTGR09atdKAAAAgKtEONZF\nzWYzMzOnMjJyPjfe+Lps2/aqJK9J8kCefno6Tzzx8UxODmZw8ICADAAAAOAqEI51WbPZzMTEsdx+\n+2vT6bwvyRuyOKS/pNMZyuzsoYyNnehilQAAAABbk3Bsgzh9ejqdztCya53OUKampte5IgAAAICt\nTzi2AdRa027vyGLH2FIl7fb21LrSzpYAAAAAXAnh2AZQSklf31zmh/Ivp5O+vrmUslJ4BgAAAMCV\nEI5tEMPDu9NonL3oSCvJ0SR7k7w+X/zil+1cCQAAALDGhGMbxPj44QwMnEyjcSbJV5IcSPLDSe5P\ncjat1iftXAkAAACwxoRjG0Sz2czMzKmMjJxPs7knyduTvD52rgQAAAC4eoRjG0iz2czExLG8+MXf\nm+RHlz3HzpUAAAAAa0c4tsHYuRIAAABg/QjHNphn37my2rkSAAAAYI0Ixzag79y5clGjcV/279+z\nzhUBAAAAbE3CsQ3o0p0rL3SQ1ZTyGxkYuDvHj9/ZzfIAAAAAtgzh2AZ08c6VN974uuzYsSvXXPOD\n2b79F9NqPZ0jR+5Kq9XqdpkAAAAAm55wbINqNps5fvzONJt9+frXx/Otb/37zM39P3niiY9ncnIw\ng4MHBGQAAAAAqyQc28COHLkrs7N3pNN5fRZ3ryzpdIYyO3soY2MnulkeAAAAwKYnHNvATp+eTqdz\n27Jrnc5Qpqam17kiAAAAgK1FOLZB1VrTbu/IYsfYUiXt9vbUWldYBwAAAODZCMc2qFJK+vrmsrhb\n5VKd9PXNpZSVwjMAAAAAno1wbAMbHt6dRuPsRUdaSY4m2Zvk9fniF7+c0dGjBvMDAAAAXCHh2AY2\nPn44AwMn02icSfKVJAeS/HCS+5OcTav1STtXAgAAAKyCcGwDazabmZk5lZGR82k29yR5exI7VwIA\nAACsFeHYBtdsNjMxcSwvfvH3JvnRZc+xcyUAAADAlRGObQJ2rgQAAAC4OoRjm4CdKwEAAACuDuHY\nJmHnSgAAAIC1JxzbJOxcCQAAALD2hGObhJ0rAQAAANaecGwTsXMlAAAAwNoSjm0ydq4EAAAAWDvC\nsU3m2XeurHauBAAAALhMwrFN6Dt3rlxUypns379nnSsCAAAA2JxWFY6VUn66lPLpUspTCz8PllKG\nlpzz7lLK50opXyul3F9KefnqSubSnStrklaSdyXZnWuuGc+9934io6NH7VoJAAAA8CxW2zn2R0ne\nkWRXkluSnEvy0VLKQJKUUt6RZCTJTyV5dZK5JGdLKc9b5XN72sU7V9544+uybdurkrwmyQN5+unp\nPPHExzM5OZjBwQMCMgAAAIBnsKpwrNb6b2ut99Va/6DW+tla61iSryb54YVT3p7kPbXWj9VaP5Pk\nJ5O8LMkbV1U139658vbbX5tO531J3pDFIf0lnc5QZmcPZWzsRBerBAAAANjY1mzmWCmlUUr5G0m2\nJ3mwlLIzyUuTfPzCObXWryQ5n2RwrZ7b606fnk6nM7TsWqczlKmp6XWuCAAAAGDz2LbaG5RSfiDJ\nTJLnZ3741Ztqrb9XShnM/ECsJ5dc8mTmQzNWqdaadntHFjvGlippt7en1mr3SgAAAIBlrDocS/If\nk7wyybVJ3pzkV0opr12D++bQoUO59tprLzl28ODBHDx4cC1uv+mVUtLXN5f5DHK58Kumr29OMAYA\nAABsCvfcc0/uueeeS4499dRTV/WZqw7Haq1PJ/lPCx8/VUp5deZnjb0384nNS3Jp99hLknzqcu59\n9913Z9euXastcUsbHt6dycmzy75aWcqZ7N+/pwtVAQAAADx3yzVFPfzww7nllluu2jPXbObYknt+\nV631sSRfSPIjFxZKKS/M/LaKD16F5/ak8fHDGRg4mUbjTOY7yFpJ3pVkd665Zjz33vuJjI4etWsl\nAAAAwDJWFY6VUv5RKeW/K6V8XynlB0op/3uSv5bkQwunvC/JWClluJTyg0l+JckfJ/noqqrm25rN\nZmZmTmVk5HxuvPF12bbtVZnPHx/I009P54knPp7JycEMDh4QkAEAAAAssdrOse9N8q8yP3fsN5Pc\nkmRfrfVcktRa35vkl5J8IPO7VL4gyetrrd9c5XO5SLPZzMTEsdx++2vT6bwvyRuyOIOspNMZyuzs\noYyNnehilQAAAAAbz6rCsVrrW2utf6nW+oJa60trrd8Oxi4651it9WW11u211ttqrZ9dXcms5PTp\n6WVnjyVJp3Nbpqam17kiAAAAgI3taswcowtqrWm3d+TSXStbSY4m2ZvkTfmjP3oyo6Pv8nolAAAA\nwALh2BZRSklf31zmh/In88HYgSSDSe5P8tF861ufzuTkreaPAQAAACwQjm0hw8O702icXfh0V5I7\nkgzF/DEAAACA5QnHtpDx8cMZGDiZRuNMkukkty17XqczZP4YAAAAQIRjW0qz2czMzKm87W2/k2uu\n+XounT92sZJ2e3tqrSusAwAAAPQG4dgW02w28/73/1xuuOEFWZw/tlRNX99cSlkpPAMAAADoDcKx\nLerS+WOXKuVM9u/fs84VAQAAAGw8wrEt6tL5YzXzu1e+K8nuXHPNeO699xMZHT1q10oAAACgpwnH\ntqgL88dGRs7nxhtfl23bXpXkNUkeyNNPT+eJJz6eycnBDA4eEJABAAAAPUs4toU1m81MTBzL7be/\nNp3O+5K8IYtD+ks6naHMzh7K2NiJLlYJAAAA0D3CsR5w+vR0Op2hZdc6ndsyNTW9zhUBAAAAbAzC\nsS2u1pp2e0cWO8aS+fljR5PsTfKm/NEfPZnR0Xd5vRIAAADoOcKxLa6Ukr6+ucwP5U/mg7EDSQaT\n3J/ko/nWtz6dyclbzR8DAAAAeo5wrAcMD+9Oo3F24dNdSe5IMhTzxwAAAIBeJxzrAePjhzMwcDKN\nxpkk00luW/a8TmfI/DEAAACgpwjHekCz2czMzKm87W2/k2uu+XounT92sZJ2e3tqrSusAwAAAGwt\nwrEe0Ww28/73/1xuuOEFWZw/tlRNX99cSlkpPAMAAADYWoRjPebS+WOXKuVM9u/fs84VAQAA/P/s\n3XuYXNV9p/t3dasRIFXjY5wYrIDBl8QK8eBIJEYS+Cpbwg5gWz7JMJnjyeQ5Y/OA1DI2Y5MTQMKx\nnMe2JNOIdsJMMs44F2wHMyCIhIyNg0HchORgYimcEwZZQlxsy7G6JAGWVOv8savoXdW1q3Z1V1/r\n/TxPP+zetWuvtat2F+pvr/VbkjRxDMc6THX9sUiyeuW1wCK6u9dw223fo69vlatWSpIkSZKkjmA4\n1mEq9ceWL3+Y009/FzNmnAO8Fbifo0e3smfPdxgYWMCCBcsMyCRJkiRJ0rRnONaBCoUC/f2rufji\nt1EqXQ+8n6Ei/YFSaSm7dl3B1Vevm8BeSpIkSZIkjT3DsQ52xx1bKZWW1n2sVFrKxo1bx7lHkiRJ\nkiRJ48twrEPFGDlyZBZDI8aGO3LkRGLMWtlSkiRJkiRp6jMc61AhBHp6DpEU5a8oAquAxcAHeO65\nJ1m5crW1xyRJkiRJ0rRlONbBLrxwEV1dW8rfFYFlwALgbuB2jh173OL8kiRJkiRpWjMc62Br1lzJ\n3Lnr6eraDHwR+ASwFIvzS5IkSZKkTmE41sEKhQIPPvhNli9/mO7uW4EldY+zOL8kSZIkSZquDMc6\nXKFQ4PrrV3HKKa+nfnH+CASL80uSJEmSpGlpxkR3QBOvujh/IKk/thbYCswCDjE4+GMOHjxIoVCY\nwJ5KkiRJkiS1lyPHBKSL8w8vzA93c/Dgn1qYX5IkSZIkTTuGYwKGivPDcuAKagvzx/h+C/NLkiRJ\nkqRpx3BMwFBx/kLhhyTB2HAW5pckSZIkSdON4ZheNnv2bHp751C/MD9YmF+SJEmSJE03hmN6WXVh\n/npK9PQcIoSs8EySJEmSJGlqMRxTlaHC/BVFYBWwGLiA/ft/Tl/fKgvzS5IkSZKkacFwTFUqhfm7\nujYDgyQrV55LsnLlForFbQwMLHDlSkmSJEmSNC0YjqlKpTD/8uUPUyicB6wELiC9cmWptNSVKyVJ\nkiRJ0rRgOKZhCoUC/f2rOfnkXwbeV/eYUmmJK1dKkiRJkqQpz3BMdcUYOXJkFtUrV6brj32QvXuf\np6/vWqdXSpIkSZKkKctwTHUNX7mySFJ/bAFJ/bHbOXbsMQYGFlp/TJIkSZIkTVmGY8pUvXLlWuAT\nwFKsPyZJkiRJkqYLwzFlql65ciuwpO5xpdJS649JkiRJkqQpyXBMmSorV15++UN0d79Adf2xakeO\nnEiMMfNxSZIkSZKkychwTA0VCgVuuOE6TjvtBIbqj0F1cf4P8NxzT7Jy5Wprj0mSJEmSpCnFcEy5\nVNcfq1ec/3EGBhZYnF+SJEmSJE0phmPKpbr+2BexOL8kSZIkSZoODMeUS6X+2PLlD9PdfSvZxfmX\nWJxfkiRJkiRNGYZjyq1QKHD99as45ZTXU12cP11/7IPs3fs8fX3XOr1SkiRJkiRNeoZjakkIgZ6e\nQwwV569Xf+wxBgYWWn9MkiRJkiRNeoZjall1cf61WH9MkiRJkiRNVYZjall1cf6tZNcfW2r9MUmS\nJEmSNKkZjqllleL8l1/+EN3dL1Bdf6zakSMnEmPMfFySJEmSJGkiGY5pRAqFAjfccB2nnXYCQ/XH\noLo4/wd47rknWblytbXHJEmSJEnSpGQ4plGprj9Wrzj/4wwMLLA4vyRJkiRJmpQMxzQq1fXHvojF\n+SVJkiRJ0lRiOKZRqdQfW778Ybq7b8Xi/JIkSZIkaSoxHNOoFQoFrr9+Faec8noszi9JkiRJkqYS\nwzG1RQiBnp5DWJxfkiRJkiRNJYZjahuL80uSJEmSpKnGcExtk7c4/86dH7c4vyRJkiRJmhQMx9Q2\njYvzD02xjPEmBgZuoa9vlSPIJEmSJEnShDIcU1vVL86fNcXyXKdYSpIkSZKkCWU4prYbXpx/LfWn\nWF7Arl1XOMVSkiRJkiRNGMMxjYnq4vxbqZ5iOaRUWsLGjVvHrV+SJEmSJElpowrHQgh/FEJ4JIQw\nGEJ4PoTwv0IIv1rnuM+EEJ4JIRwOIdwdQnjDaNrV5Fcpzh/CJmAWQyPGIF1/DD7I3r3P09d3rdMr\nJUmSJEnSuBvtyLHzgQ3AW0mSjh7gWyGEEyoHhBA+DSwHPgr8NnAI2BJCOG6UbWsSqxTnX7HiEbq7\nn2RoimW9+mOPMTCw0PpjkiRJkiRp3I0qHIsxvi/G+Ncxxl0xxseBPwBOB+anDlsJ/EmM8c4Y4z8D\nHwFeA3xgNG1r8isUCvT3r+ayy5bR1XVXeW9W/bGl1h+TJEmSJEnjrt01x15BMkToZwAhhDOBU4Dv\nVA6IMQ4CD5MMHVIHSKZYfomurs1Yf0ySJEmSJE0mbQvHQggBuB64P8a4s7z7FJKw7Pmaw58vP6YO\nUJliefnlD9Hd/QLWH5MkSZIkSZNFiDE2PyrPiUL4M5IhQYtijM+W9y0A7gdeE2N8PnXs14FSjPGS\njHPNA7a/7W1v46STTqp67JJLLuGSS+o+TVPAmWcuZvfuu0kCskr9sU+Q3DoBiHR1bWHu3PU8+OA3\nKRQKE9hbSZIkSZI0nm6++WZuvvnmqn0HDhzge9/7HsD8GOOOdrfZlnAshHAjcCFwfoxxT2r/mcCT\nwFtijD9I7f9H4PsxxisyzjcP2L59+3bmzZs36v5p8ujrW8XAwAJKpaUkI8YWkNQfq9bVtZnlyx+m\nv3/1OPdQkiRJkiRNJjt27GD+/PkwRuHYqKdVloOxi4F3poMxgBjjU8BzwLtTx/eSrG75wGjb1tST\n1B9bn6P+2FLrj0mSJEmSpDE3qnAshPBl4PeB/wAcCiG8uvx1fOqw64GrQwgXhhDeDHwVeBq4fTRt\na2pqXH+s2pEjJ9Kuab+SJEmSJEn1jHbk2KVAL/CPwDOpr9+tHBBj/AKwAbiJZJXKE4ALYoy/GGXb\nmqIKhQI33HAdp512Asl6DRXp4vwf4LnnnmTlytUW55ckSZIkSWNmVOFYjLErxthd5+urNcetjjG+\nJsZ4YoxxSYzxX0fXbU0HF164iK6uLeXvKsX5FwB3A7dz7NjjDAwsYMGCZQZkkiRJkiRpTIy65pg0\nUtX1x75IsmrlUoamWgZKpSXs2nUFV1+9bsL6KUmSJEmSpi/DMU2YSv2x5csfprv7VoaK81dPryyV\n1vGVr9zq6DFJkiRJktR2hmOaUIVCgeuvX8Upp7yeZMTY8OmVcDfF4p86vVKSJEmSJLWd4ZgmXAiB\nnp5DJMX511JveiW8n507P+70SkmSJEmS1FaGY5oUhorzb2VoeiWkp1jGeBMDA7fQ17fKEWSSJEmS\nJKktDMc0KaxZcyVvetM6oJuhEWNZK1ie6xRLSZIkSZLUFoZjmhQKhQIPPXQrhcJ+kumVkDXFslS6\nwBUsJUmSJElSWxiOadIoFAr8wR+8vzy9EoZPsRxSKi1h48at49Y3SZIkSZI0PRmOaVJZs+ZK5s5d\nTwibgFkMjRiDdP0x+CB79z5PX9+1Tq+UJEmSJEkjZjimSaVQKPDgg99kxYpH6O5+kqEplvXqjz3G\nwMBC649JkiRJkqQRMxzTpFMoFOjvX81lly2jq+uu8t6s+mNL2bnz49YfkyRJkiRJIzJjojsgZVmz\n5kruuWcZu3ZBqbQVWJ16tEgSmG0lxlkMDDxJjJE1a66kUChMSH8lSZIkSdLU48gxTVqVKZaXX/4Q\n3d0vMDRirN4Uy8cZGDjXKZaSJEmSJKklhmOa1AqFAjfccB2nnXYCQ/XHsqZYXsCuXVc4xVKSJEmS\nJOVmOKYp4cILF9HVtaX83VZgSd3jSqWlbNy4ddz6JUmSJEmSpjbDMU0Ja9Zcydy56wlhEzCLoRFj\nwx05ciIxxszHJUmSJEmSKgzHNCVU6o+tWPEI3d1PMjTFEpIaZKuAxcAHeO65J1m5crW1xyRJkiRJ\nUlOGY5oyCoUC/f2rueyyZXR13VXem1WcfwHnnvshAzJJkiRJktSQ4ZimnGSK5Zfo6toMfJHq4vxF\nYDWl0lp27uxizpx30te3ypBMkiRJkiTVZTimKacyxXL58ofp7r6VoeL8taPItlAsbnMUmSRJkiRJ\nymQ4pimpUChw/fWrOOWU1zNUnH8tjiKTJEmSJEmtMBzTlBVCoKfnEEPF+beSZxTZggXLDMgkSZIk\nSRJgOKYp7sILF9HVtYUkIJtF9igygECptJRdu67g6qvXjX9nJUmSJEnSpGM4piktKc6/vrx6ZdYo\nsmql0hI2btw6Tj2UJEmSJEmTmeGYprR0cf5C4cfAJoaPIoNkmuUqYDHwQfbufZ6+vmudXilJkiRJ\nUoczHNOUVygU6O9fzb59WznrrP46o8hq64/dzrFjjzEwsND6Y5IkSZIkdTjDMU0b9UeRQaP6Yzt3\nftz6Y5IkSZIkdTDDMU0rw0eRbWZ4/bGhKZYx3sTAwC309a1yBJkkSZIkSR3IcEzTUmUU2eWXP0R3\n9wsMjRirN8XycQYGznWKpSRJkiRJHchwTNNWoVDghhuu47TTTmCo/ljWFMsL2LXrCqdYSpIkSZLU\nYQzHNO1deOEiurq2lL+rnWI5pFRawsaNW8etX5IkSZIkaeIZjmnaW7PmSubOXU8Im4BZDI0Yg3T9\nMfgge/c+T1/ftU6vlCRJkiSpQxiOadqr1B9bseIRurufZGiKZb36Y48xMLCQc8/9kAGZJEmSJEkd\nwHBMHaGyiuVlly2jq+uu8t7a+mNFYDWl0lp27uxizpx3uoqlJEmSJEnTnOGYOkoyxfJLdHVtprr+\nWO0osi0Ui9u48UZXsZQkSZIkaTozHFNHqUyxvPzyh+jufoGh+mPpUWQHSeqQvYcY/5wf/vAQ55//\nYZn3mm4AACAASURBVAMySZIkSZKmIcMxdZxCocANN1zHaaedwFD9scoosuF1yOB+HnuszxFkkiRJ\nkiRNQ4Zj6lgXXriIrq4tJAFZZRXL2jpklP/7fnbuXMnVV6+bkL5KkiRJkqSxMWOiOyBNlDVrruSe\ne5axa1ekVDpEEpJtBVanjiqSBGZbiXEWAwNPEmNkzZorKRQKE9BrSZIkSZLUTo4cU8eq1B9bvvxh\nCoUfA//A0AgyqDfF8tixxxkYsEi/JEmSJEnTheGYOlqhUKC/fzX79m3lrLNuAH7KUB2y+lMsS6UL\n2Lnz406xlCRJkiRpGjAckxgaRXb22bOBTeW9lSL9FUWSVSwXE+NNDAzcQl/fKgYHB8e7u5IkSZIk\nqU0Mx6SyQqHAfffdwlln9RNCsymWf8OxYx9iw4Zvc/LJF/Da176Lvr5VTrWUJEmSJGmKMRyTUioj\nyFas2EZ395PUn2J5kCQoWwjcz9GjW9mz5zsMDCywFpkkSZIkSVOM4ZhUo1KH7LLLltHVdVd5b3qK\nZVYtsqXWIpMkSZIkaYqZMdEdkCarNWuu5J57lrFzZyTG9BTLrcDq1JFFksBsKzHOYmDgSWKMrFlz\nJYVCYZx7LUmSJEmSWuHIMSnD0BTLR1JTLCONa5HdzrFjjzMwcC7nnvshp1hKkiRJkjTJGY5JDQyf\nYhmAQ9SvRRZIwrLVlErr2Lmzizlz3umKlpIkSZIkTWKGY1IOa9Zcydy5X6KrazNJIf4t5UfStchq\nR5HdQrH4Ple0lCRJkiRpEjMck3KoTLFcvvxhTj/9PmbMWAncQfUUS1e0lCRJkiRpqjEck3KqTLH8\n0Y++y/792+jr256qRQauaClJkiRJ0tTjapXSCPT29tLfv5oYIwMDd1EqLaV6FJkrWkqSJEmSNBU4\nckwahaFaZHcxVKg//4qWTrGUJEmSJGliGY5Jo5CuRVYo/BjYRPMVLSGZYnmBUywlSZIkSZpghmPS\nKFVqke3bt5WzzupvsqIlJCPJVgGLifEmBgZuoa9vFYODg+Pcc0mSJEmSZDgmtUm+FS1rp1j+DceO\nfYgNG77NySdfwGtf+y76+lY51VKSJEmSpHFiOCa1UfMVLdNTLA+SBGULgfs5enQre/Z8hxtvtBaZ\nJEmSJEnjxXBMGiOVFS0vu2xZuWA/VE+xrA3KVgHvIcY/54c/PMT553/YgEySJEmSpDFmOCaNscqK\nliFsonqKZSUoG76aJdzPY4/1OYJMkiRJkqQxZjgmjbFKLbIVKx5JTbGMDAVl9VezhPezc+fKl1ez\njDEOO7ckSZIkSRodwzFpHFRqkQ1NsQzAIZKQrNFqll/mhhv+mt7ec5gz5yLOPHOxBfslSZIkSWoj\nwzFpHFWmWHZ1bSYpxH8X2atZ3gocAW6kWNzGs8/ewe7ddzMwsIBzz/2QAZkkSZIkSW1gOCaNo8oU\ny+XLH+b00+9jxoyPAz+h/mqW68rbF5CEZ0VgNaXSWnbu7GLOnHc6ikySJEmSpFEyHJPGWWWK5Y9+\n9F3279/G2WcXgE3lR9NTLNPbtUX7t1AsbnMUmSRJkiRJo2Q4Jk2g3t5e7rvvFs46q58Q/oGhKZbp\ngv0wvGi/o8gkSZIkSWqHUYdjIYTzQwgbQwj7QgilEMJFdY75TAjhmRDC4RDC3SGEN4y2XWm6GFrN\ncltqNct0wX5wFJkkSZIkSWOjHSPHZgH/BFzG0G/yLwshfBpYDnwU+G2S3/i3hBCOa0Pb0rQwfDVL\ngEXAFkY6imxwcHCcr0KSJEmSpKln1OFYjPGuGOO1McbbGfrtPW0l8CcxxjtjjP8MfAR4DfCB0bYt\nTTfVq1l+ElgPbCb/KLJbKBbfx4YN3+bkky/gta99l0GZJEmSJEkNjGnNsRDCmcApwHcq+2KMg8DD\nJL/NS0pJr2Z5xhnLOPXUHgqFq+jp2UtStL/RKLKDJEHZQuB+jh69iz17zjMokyRJkiSpgbEuyH8K\nyW/zz9fsf778mKQalSmWTz11N/v23cng4A/Yv/9RzjqrvzzlMmsUWetBmfXJJEmSJEmdbsZEd6CR\nK664gpNOOqlq3yWXXMIll1wyQT2SxlcIyQixyoiyq69ex1e+8mOKxU3A+6geRbYVWF3eTgdllamX\nnwCu4+jRwJ49kYGBLdxzzzIefPCbFAqF8bsoSZIkSZIy3Hzzzdx8881V+w4cODCmbYYYh9XQH/nJ\nQigBH4gxbix/fybwJPCWGOMPUsf9I/D9GOMVGeeZB2zfvn078+bNa1v/pOmgWCyyYMEydu26glJp\nHUmtMUjK+N1e3l5c3h+AVSSzmJcOO1cIm1ix4hH6+1ePeb8lSZIkSRqJHTt2MH/+fID5McYd7T7/\nmE6rjDE+BTwHvLuyL4TQC7wVeGAs25amq3RdskLhxyS1yAJD0y1r65Klp15CMpJsFbCYGG9iYOAW\na5FJkiRJkjrWqMOxEMKsEMLZIYS3lHe9rvz9aeXvrweuDiFcGEJ4M/BV4GmGhrhIalGlLtm+fVvL\ntcg2k9QX20LjoKx2dcu/4dixD1mLTJIkSZLUsdoxcuwc4PvAdpLfxNcBO4DrAGKMXwA2ADeRrFJ5\nAnBBjPEXbWhb6mjpUWSnn34fM2asBO6kflAGjYv2b2XPnu9w443nsmDBMgMySZIkSVJHaGvNsXax\n5pg0MoODg1xzzXpuu+1ennnmGY4eXQc8QhKALSW7FlmRJDjbSjLS7KecffZsvve9v6e3txeAGOPL\nCwRIkiRJkjRepnTNMUnjq7e3l/7+1fzoR99l//5t9PU9mhpRdgf1a5ENn2oJ7+axxw7yyle+l0Lh\nzfT2nsOcORdx5pmLnXYpSZIkSZpWDMekaWp4ULad7u4nGV6LLGuq5WaOHevl4MEvUCxu49ln72D3\n7rsZGFjAued+yIBMkiRJkjQtGI5JHaASlF122TK6uu6iuhZZejXLdFC2rrx9Qfn4IrCaUmktO3d2\nMWfOOx1FJkmSJEma8gzHpA6yZs2VzJ37pdTqlndRf6pl7Xbt1MstFIvbHEUmSZIkSZryDMekDjJ8\ndcuPAz9h+FTL9DZUjyhzFJkkSZIkafowHJM6TKFQqKpFdvbZBWAT1VMt09vgKDJJkiRJ0nRlOCZ1\nsN7eXu677xbOOqufrq5NJFMtt5QfXVTeHtkossHBwZfbiTEiSZIkSdJkZDgmdbihqZaPlKdargTu\nBD4JrAc2k38U2S0Ui+9jw4Zv88pXvpdC4c309p7DnDkXceaZi516KUmSJEmadAzHJA2batnX9yhn\nnLGMU0/toVC4ip6evSRTLxuNIjtIEpQtBDZz7FgvBw9+gWJxG88+ewe7d9/t1EtJkiRJ0qRjOCap\nSm9vL/39q3nqqbvZt+9OBgd/wP79j5anXt5F9iiydFC2rrx9AXmnXkqSJEmSNBEMxyRlCiEZIZZe\n5bJQ+DH1R5Glg7J8Uy9PPvkCXvvadxmUSZIkSZImjOGYpFwqUy/37dtaZxRZOijLO/Xyfo4evYs9\ne86rCspWrLj25WmXFvKXJEmSJI01wzFJLak/iiwwFJSltyF76mV1jbKjRxezZ08XN964lZNOeguF\nwvyqQv6OLJMkSZIkjQXDMUktGz6KbDNJyLWlfMSi8najqZeVoGwR8GGSaZe3At3EeCMHDz7Ks8/+\nHbt3L3QKpiRJkiRpzBiOSRqx9Ciy00+/jxkzVgJ3Ap8E1gObqT/1EoaCsqxC/s2nYPb1rXLlS0mS\nJEnSqBiOSRqVyiiyH/3ou+zfv42+vkc544xlnHpqD4XCVfT07GX41Mt0UJZVyL9RrbKt7NnzHQYG\nFnDuuR+qW6PMemWSJEmSpDxmTHQHJE0fvb299Pevpr8/CadCCBSLRRYsWMauXV2USpWpl0tJgrIS\n2YX8twKry9vpoAySFTDXUiptZefOyMknn8Pxxxc48cRf4vDhfcBxzJ59KjNnvsCFFy5izZorKRQK\n4/ESSJIkSZKmGEeOSRoTISQhV/bUy4XAt6hfyL9RrbIiySiyoRplR45cT7F4D88/f4xi8fMUi9t4\n9tk72L377oajyyRJkiRJMhyTNObqTb0cCspeA9xVPrJSyL9RUJZVoyy9HUhCtNWUSmvZubPEySef\nQ2/vOa6AKUmSJEmqYjgmaVxVpl5WgrJLL51DT09tIf9NDK1+mQ7KILtGWZ7RZdvqroC5YsW1FvaX\nJEmSpA5lOCZpwvT29vJnf/an7N+/nb6+bVWF/GfPvqNmCuYWqkeRZW1DvhUwN3P06GL27Onixhsf\n5uSTF3DppX9UNZrMKZiSJEmSNP0ZjkmacMm0y+t46qm72bfvTgYHf0Cx+P06UzD/gfo1yvKOLquE\nZouAD5OMLLsbuIUjRz7ETTd9j1e+8r0UCm/OPQXTAE2SJEmSpjbDMUmTSqWQPwyfgtnX9yiFwo9J\npl3CUI2y9HajEWWVoCw9sqx6NNmxY70cPPiFzCmYfX2r2LdvH319qzjzzMWcdtoHXg7QnJopSZIk\nSVNPmIyjHkII84Dt27dvZ968eRPdHUmTSLFYZMGCZezadQWlUmUE2MeB81Lb60lGhAVgcXkb4APA\n7al9AVhFMoJsac12pW7ZJ0gCtYPAF0lW2Pwp0A+8j0oI19W1hTe9aR0PPXQrhUKBGGNV0CdJkiRJ\nGpkdO3Ywf/58gPkxxh3tPr8jxyRNKYVCgQcf/CbLlz9cVaOsUHgXr351N4XCVfT07GX46LLK1MsS\n9UeT1W5njS57L3Aj8H5cFVOSJEmSpj7DMUlTTlKjbHVVjbLBwUd59tlNDA7+gP37H+Wss/rp6trM\n8BUwv8VQfbI8UzChOih7gJGuilkblE3GkbuSJEmS1GkMxyRNaempi5XtrNFlQytgvga4i+yi/llB\n2UhWxbyfo0fvYs+e89iw4dt1C/6vWHHty/XKsgIzgzRJkiRJGhuGY5KmpXqjyyorYF566Rx6elYC\nd5IEWLVF/bOCslZXxWxU8P8enn12Hrt3w403buWkk95CoTC/ajpmVuF/p2lKkiRJUvsYjkma9mpX\nwPyzP/tT9u/fTl/fNk4//b7yaLI7GT4FszYog9ZWxYT6o8sqiwcMTceM8UYOHnw0NR1zC7/yK29n\nw4bfZvfuu9m372+cpilJkiRJY8BwTFJHSkaWXcePfvRd9u/fRl/foxlTMGtHl11JEqDdRWtTMtPb\neaZjpgv/tzZNs69v1cvTNMHQTJIkSZIaMRyT1PF6e3szp2D29T1aM7psNvBN4CHgGbJXxWxU8D/P\ndMwHMvZnTdPcxrPP3sHu3XczMLCA3/qti7j00j9qOCXT0EySJEmSYMZEd0CSJpPaKZj9/avp74fB\nwUGuuWY9Gzf2c+TIifT0HGbp0ou5994v8cQTXZRKnySZKlliaKTZUoaPLivReDrm6gb7oTooW5Xa\nhmT1zLWUSvfyxBPP8MQT5wGfIwnUvsiGDd/my1/ewgknHCKEmcyefSozZ77A7/zOQj73uf9KoVAg\nxvjya5DeliRJkqTpynBMknJIB2Xp0KhYLHL11evYuHE9L710HAcPXkWM3bz44tc5enQd1UHZIuBb\n1J+OCdWBWNb+dFCW3i6SjCj7RPl5C8ttpvdfybFjH+bgwVXAIorFdcBWbrxxKwMDf8usWa9g1qxf\n5vDhfcBxL4dnF164iM9+9pP09vYOe10M0CRJkiRNdU6rlKQWpcOgRqtiDp+SWSn4P4ekZhnUn46Z\ntb/RIgB5pmQ2WxDguzz//DGKxc+Xp2n+Xd1FAPKsoumUTUmSJElTRZiMv8CEEOYB27dv3868efMm\nujuSNCpDUzK38tJLx1Es7ubw4RcplfqBt5EEVR8nqWNWO+LrCuDB1P7FwN0koVi9bYAPALeXt+sd\ns5okGKtMzay3nR5xtoTK1Mxk5NtPgX7gfan936G7+9iwKZuNRp1JkiRJUh47duxg/vz5APNjjDva\nfX5HjknSGKst+F8s/pCf//yf6Ovb1mCFzHTh/28Byxm+cmZldFl6FNloFgTIWhwgzyqatYsD1B91\nVhldlv7DTJ4/0kzGP+RIkiRJmh4MxyRpHFWmZCbTMa/LnI55xhnvZc6c/8gZZzxAX99Snn763gbT\nNDfTfEpmswUB6i0C0MoqmpUpmxdQHZrdz9Gjd7Fnz3ls2LCFV7ziXGbM+A1mz34bhcKb6e09hzlz\nLqo7NXNwcLAt0zcN1iRJkiQ14rRKSZqksord107TPHhwLy+++BJHjqwnGdGVNSWzMm1yLSObmpm1\nv/Y89aZnXgr8OUmAtpBkKukVDI1Mq56aCTN48cXDHD26npFM3xwcHOTqq9dxxx1bOXJkFj09hzKn\neGa9zq0uNuDiBJIkSdLYGOtplYZjkjSFVQKZYrHIggXL2LXrCkqlSuC0lmQE2U+B6xmqb3Yq8O9J\nRnll1RxrJSiLGcekg7IHM9pJ1zZLh2bpUC/rmNaDtRkz4DWvmcnSpb9FCF1s2bKtKjz79Kc/yuc/\n/98ahmrpECwrhFuz5koKhcKw4yVJkiS1znDMcEyScikWi1x99To2btzKkSMn0tNzmIsuWsSnPvVf\n+MIX/nuOBQHOo/7iAFmjwloZdfaeOsfWni/r3HkWDcgbrK0D7gWeAb5EdXiWb7GBE0/8JQ4f3keM\n3TUhXDI9tatrC2984+d5xzvOHRa+VUK2do1WkyRJkjqB4ZjhmCS1rFn4kgRpa9m48YGXp2bCcXWC\nn3XAIzRfRbPRqLPbyDfKbDTTN5sFa4sYCskeqHM9jfang7dF1A/hKD9nLY3CtxAG6erq4vjjf4mT\nTw5cfPH5maPV8ow+y7PfwE2SJElTneGY4ZgkjamsIKVS2+y22+7lmWeeKQdllVUqs6ZsZo06qzdy\nDJqHZnmOyROsrab5qLQ8wVvW8c1CtnTNtSVkj1ZrPvosK0xL73/ppZkvB57pumyVwC3rPTdskyRJ\n0mRkOGY4JkkTLr0IQKMpmwcP7s0YdZZVcyzPqLBmIVieYK1diw1kHd8sZEtff1aQBnlGn9Wf+pne\nfz7Vddkqq5Heyitf+Rlmzz6ZI0dOGDZasDZIayVsg9ZCMwM2SZIktWKsw7EZ7T6hJGn66e3tpb9/\nNf39w4ONevuHRp3dxzPPfJ2jR/8EWE8S0nySJLwpkQRDW0hCnEWp7StJAqTY4JhD5cdDzXbtMSVg\nVvkxUseSY3/M2E4fH4CtJKPTao+p7F9b/i/l7U+U+7cWuK68Px2aVa67Nkwjx/5VqfOnw7Zn+dnP\n1vOzn1XCs88DiygWK9tLKRaTsG3Dhi1s2PC3JGHbJ1PHL6VYTF6LgYEtfOtbFzWsrQZD90WeFURH\nU4ut2Wi4sQ7kDPwkSZKmLkeOSZLGVHp65v79B3jppSMcd9wr6Or6OUMrS66jemrmBbQ2fbNeof50\nXbC1tDaVstnIsfTxS2g8Gu22Jo/nHX3Wan8PUn+EWp4FDrKOh+aj26pXDi2VAi+++AIxHiXG6zOP\nDWFm5si1rDAtHbilR7ela+eVSoGXXvpFVZ23rECu1e08q5VWtDp9tdXnSpIkTWdOqzQck6Rpo94o\nnvSUzfTiAElQ8mLO6ZvNgrWFwCXlx7IWFciz2EBWCLeOxqFVpeYajLxuWp796SmmIw37Gh3fygIG\nHwNuynlsZQpo/pVDh4LV9VRPJV1Up/0ldc+RXn20dopps+1Gq5W+6U3reOihW4kx1g3v8oSAeaa1\nNgv5RhP85THRq642a8cgUZKk6cNwzHBMkjpGq6Nr8gZrn/3sjfzlX36TI0fWk72oQJ7FBs6jfgj3\n9yTBy/upH7Kla46NZPTZSGqk1QvkYsZ21rlrj2llAYNm15x35FpWmNYswMyq85a1+mir241WK/03\n4EVCKJVHy9XWgRtNDbnGIV96tNzMmf8HXV0/zx0C5gneskbL1Qv5fud3FvK5z/3X3KPo8vzMF4tF\n/viP12aOKMwzfbdVYxEsjrT9Zse0qx8THXxKklTLcMxwTJKUQ7NfVIvFIldfvZaNGx/IXFSg2WID\n9cOEF1m69BzuvXcbTzzxSUqlSoCRDtk+B/wFjUerNRt91srqmueSrI450gUG2nF8K6PlRrJyaLM+\nvifHOUazXW9EXXpV0qypqXlCwDzPrRfypUfLtRoC5gveqkfLZYV560jq7XXT07OPP/zDC7nmmuV1\nR8LlWRCiEnItWXIO3/veozzxxJWUStWrvoYwSAgxc/rujBnwmtfMzD2tttmU3ay+pwPB0awEmyfk\nqxxz++33sn//IC++WD19OGvBjFbbzDPFuZ7RTCVuRbumI4+0L+0acTnSNse6/WZtjeZ62n1fTER4\nOx2D5Kncd01vYx2OEWOcdF/APCBu3749SpLUbqVSacT7s7YHBwdjX9+qeMYZi+OcORfFM85YHPv6\nVsWnn3469vWtiqef/o44a9Zvxu7uuTGEN0S4I0IpwmCEayPMjXBnhFje954ImyJcE2FzC/sPlLcX\nls8fy+ff3GT73U2OL0W4qLwvfXx6f2W7lWMbHVPbr2bnadZ+u7Zrz195jbJez6zXNs/+Zu9LVvut\nblfuoc1x6B7aVLNd757bnNqf3le5t6+J8NYIr4/J/Z117qzj0/vr/Yx8s04/avuXPsfC2N391jh7\n9m/EQmF+fPWrl8ZC4c1V27NnvyXOmPGrTfpbu31t+b16VwzhdXH27HlV5z711N+JZ5zx7rhixbXx\n6aefjitWXBvPOOPd8dRT39ek/fp9HzrmGzXXmfwcdHVtir/2a++IH/vYVZnt5Gsz671YGGfMWBhP\nP/2dcfnya+Lg4GCMMcYDBw7Uvbas608+K5P9Bw4cyP35Ozg4GFesuGbYOfbt29e0/XQ76f620pes\n9iuvQ6087TT7/0+6zTzXlj5fq+03ex8/+tFPvXxv5Tlfnr7kuS8q5xnNteXZrvf6j+Yasu6LVv/N\n0c7rqZXcX9mvY6vnbvfx7brOkRrrNps9N8+5W32N6j13pM9rdHyr52lk+/btkWRaw7w4FjnUWJx0\n1J0yHJMkTWHN/oFw4MCBYUHapZdeFefOfXfs6koHBdemfjmtDdOy9ie/QM+YUfmFNis8+4ea7WZh\n2z/E1sKcVo4dTZjWrP1mQdpItkfa5nhd80iCv9EEqJX9WWHbNTnOnXV8en+99vP0L0/wlxUCNntd\n8py71aAw6/rrHZPuU+X4ayO8PcIbm7TTSvBZry/VgeCsWWdnhIqthW3NAsTZs389dnW9LnWO5Gcl\nhG/GmTPfWP4MzWq/XsDYWl+y2u/q2hx//dcXDwsKTz/97U3DzmYBanWbza+t1bA1fzhce2+NJnjO\nd1+k368TT/zN2N19VjzxxPOavofN+lK7Xe/1P/30t5f/qJWnzdpraHxfNArWmgWSzcLuVgPpwcHB\neNZZ74ldXcP/sBHC3KrrbzXsH83xea651eC9lTCnXWF/q0Fx5bl5gt+sPma9RunnVgLRevd53j8q\njOZ1qXd96T+21HtPDMckSZrGWhl9lnf/gQMHUv/Y/YfUP3avzfylYegf/PXDttmzfyP29FR+IagN\n0OqFCfXCiUbBw1iOomr3yLF0O5UAK0+Q1WpQlic0q9d+u8K+Vvve6nvYyoi6rPbzvIZ5gr+R3i95\nztdqUJin7/UC0VbbafXnr1kgmNVmnrCtlQDxI+XvY+o810Z4cxz6fMoTjo60L1ntJ0FhT8+v1gQo\necLOVtpsNfjN036z9zFvYDoWIex7ItzS4nuYd8Rno9f/Gy22md6f577Ie8+PJOxuLXis///29Kjc\n0YT9rR7fyjW3dp2tBKJdXW8qj/IfWdg/mqA4hLk17ecJ+PO8RkPB/8c+9uk4d+67Ywh53uc8bbYe\ndlefp/Kz8t7Y03NW/NjHrqobsP3e7/2XaDgmSVKHGc3Uz4qssK3RVJpGxw8Fbo1Gt1X+sfT3df7R\nlHVso5FrzX7hzhoN9/c5zjGa7XT7zUbLjTSEaDW0acc00TwBWr39x3IcO9JzZ/V3NOcYzWuRFQi2\nGvy1EkLmuf6RBnytvo6t3p957vNWgr2sQLDVIH2kfclqPytAydOXVtps14jPVt7H0ZyvHZ9/7bq2\nVl7/0VxDq4FsK4HkSK+nUb+ajcod6c9qq8ePxYjjkQaiown7RxoU5ykT0Ooo56zgv1KmIM/z2vVH\nkHrnyfOHicq9WYohbIiGY5IkaVRarYXRqC5Js1FslWH2lWkwM2b8Rpw16x3xta99V8Nj649cywrT\n0sdkj4ZLpuGk67xlTSttdTvdfr1/ZGaFdyOtIVf73FZ+gRzpL8St/jI70nAqbzhTr/1m/UufI892\n3teiNhDMc75W289zTDsCvlbfi1bazHPuVu7F2hC28rxW38+R9iWr/Tz330h+thrdZ6P52Wr1fWx3\n8NzqOdtxba2+/u36rGr2uZnVr1Y/n0caPLby2dLO/2+045pbuc7a7WaB6Fi02ey5rZ671deo3h8T\nRvNHhdG8LvXe80YjMStfYzutsqvtFf4lSdKk0+rKU1nHFwoF+vtX89RTd7N372089dTd9PevZs6c\nOS/v37fvTgYHf0Cx+H0OHtzOkSOPUyzew+7d32l47P792+jre5Qzzngvc+b8R8444wH6+pby9NP3\nlvcv49RTeygUrqJQ+C1OPfU/lI95Dz/72bcoFh9ncPBRnn12U1X7R4/u5Oc/317nHO/i1a/uHuH2\nUPuXXnoxc+d+iRD+HbAe2AzMBr4JPARcQHf3ILNnf5rZs+9gxoyVwJ01x3wLWF5nf9ZzP1lua1Nq\n+82p9us93mh7IcnqqpCsYllv+8rU+RfW2T8HuItkBc9DJP9+bXS+ynbW8bX767XfrH/pc+TZztPf\nyva3cpwvArPK+1ptP88xlf+22k7e17x2fynVTp42s45J74dkddMlNfvrbXfV9K/yvDztt6MvWe1n\nPS9PX1ppM8/5Wm2/2ftYGsX58vSl2Tlp07W18vq32mbtz02z+yJrf3o7789E3vspq1/1rinr8JIO\nhgAAIABJREFU+vP0ezTHt+PcWddZu72WZGXnpSQrRC/J0f5o22z23FbO3eprlL7mJeR/n/O02err\nUu89T/cv/Z6Mrxnj3qIkSZoWsgK09P7Kdp5je3t76e9fTX8/xFi9lHy9/bXHNGo/69zt2i4Wi1x9\n9Tpuu+0I+/f/MS+99ClmznwVr3pVFxdf/B7+5E8+QW9vLwCDg4Ncc816Nm7s58iRE+npOcxFFy3l\nU5/6L3zhC/+9Zn/2c1966TgOHrwKOI4TT/wlDh/+DDF2Uyr9Mb/4xRGOO+4VdHV9mhBmlh9PH1u9\nHWM3L774dY4eXUcSmn2Y5Jfi9PYFJKHdWpJg6O+A64H3l/evAVaU91XCqaUkodUykn8QZ5076/j0\n/kK5nXXAfcDXgM+SBGKxfEy9/qXPsSjHdp7+VrYrgeAFDc6XDhtabT+r75VjPpa6/lbbydNm7f5G\ngWCr158OE9K/TDUL8yrnWFLzvDztt6Mv9dqv/YWwWTu1YUreNvNeWyvtN3sfa9/zVs+X57mNzpn1\nmoy2L41e/5G02cp9Ua/NrECyUV9auZ/S+2v7VXtNWW026/dojm/1mlu9znqhzerU/jx9HU2bze6F\nVs89kteocs3NfrZabXOkfa99z2vfk/r/bhxLhmOSJGnSaSV4G82527VdGVGXDt+ywrtWQ8A8z623\n3WrA1zh4uwq4ltmzT2XmzBczw7ylS/9PYCubNj3EM89UwrZKeLYW+Czd3cc44YTq0K46nEsfXxvC\nFYBVdHXdxRvf+AXe+c5/YtOmeoHkUP9uu+2+VF+ahV21IWD9/lZel0OHHuXw4fsplfobnK/VoDAr\nhMw6ZpAQPkmMvyAZBfj+nO20Enym9y+kfiCY1Wae4LOVYC99jvTz8rSfJxBs1pes9rOelyfsbKXN\nPNfWavvN3sd0CNzq+UYSwtY+t13X1kqAO5prGE042CyQHOn1NAoQ611Tu8L+vMeP5JpHGpRC80C0\n3W02uxcatd/qHyTyBP/N7vN2/xGk3nnS73m99ySmvh8nYzFXc7RfWHNMkiRpwmQtPd/KghDNFnio\nfV7W8VmrsqaXe6+cJ6t/6XNnLXc/fBWzxv2tbCd1+K7NPHeelWAbtV+vRl+9PmYvmNF85bRGbda+\nF5deelXs6XljzFsHMF89wTw192q3V8XqFSorz10VYXEcvkJgo/6OpC+17dernTPaBUnqtZlcWwiv\nb3Btea4zz/HJ+zhr1tzY1fW6Ju9hq7Ua089tds70Aiujubas7Xqv/y0ttpneX6lD2ei+aPaefyQO\nrVCa92dipAvcpH923hGTVSK/ntFmqz+rrRzf6jW3ep2t1PwaTd3QVmqepZ+b517J08es/tZbNCLr\nPm+1zZEuqpR+z7NqlaW/xrbmWIhJGDWphBDmAdu3b9/OvHnzJro7kiRJGoWYMRKu1eNbPU+zc+fZ\nbse5h0blbU1NmV1UNWU2T/vNjqlM7x1JO6285kk7a9m48YHyKMO9wHGpkYWLMqYDV/draHTfvTzz\nzDOpkYMHSUarfbs8cu9QauTevpfb6uk5yMGD/8bPf/45SqULqEzf6eq6ize9aT0PPXQrhUKhqv2s\n/rbal+Htn0cyyurjJCOshp43YwbMmXM8F198fmrE5VBfkpGTh3O1OXPmi1x44ULWrLmy4bXVvla1\n15n3+Mr7mH7P672Hjc6Xpy/NzplMGQ+pKeM/r3pNRtKXynb267+FEAbp6upm5szmbQ6NoD2He+/d\nxhNPfJJSaVHGfbEF+ClDIzSr3/Pjjx/khRdeKo9Kzfczked6htp8W02/hn52klG5C9i06UH27z/A\nSy8NveYwI9e92rwvw48/dGgPhw+/mPuaW7/O9M/oQySj5JYCRYamqd8EXFHeP7z97OvP02bWZ0Tl\nuZ8D/qJO+43et1Zeo0dS10z5utcB9wI/I4SjnHDCK+u8z83bbP11qZxnDXBL+fF0/yrvSeW1SO7P\nEG4kxj6A+THGHbSZ4ZgkSZI0TtoR8E3WdvK0mXXMSAPErEDws5/9JIVCYUT9baUv6fbzBIVZfWn1\n+pu9tqMJW1tpp9XztRp813tuu66tlde/1Tbz3BdZ4WCzQDJP2N0skG7Ur/TPTr3XvNV7tfWfp/zX\n3Op1thKIHn98ZZr++S2F/aMJim+77d6XA8mhMgH1Q/VGnzP1XqPhwf/wPybMnj277mvbjj+CZJ1n\n6dJzAMrlGOr/YaLyB4YFC97A177238BwTJIkSdJ0146RexPRl3aMPhztczV67X79RxMOtqNPIx2J\nOppzt+P4sRhxPNJAtF1ttnIvjMX7lnXNWX9MGGmbI+17s/dkx44dzJ8/HwzHJEmSJEmS2qcTA+nJ\nfs31+jfW4VhXu08oSZIkSZI0FUzmkGisTPZrnoj+GY5JkiRJkiSpYxmOadq6+eabJ7oLmuK8h9QO\n3kcaLe8hjZb3kNrB+0ij5T2kyWzcwrEQwuUhhKdCCC+EEB4KIfzWeLWtzuSHr0bLe0jt4H2k0fIe\n0mh5D6kdvI80Wt5DmszGJRwLIfwesA5YBfwm8BiwJYTwqvFoX5IkSZIkSapnvEaOXQHcFGP8aozx\nX4BLgcPAH45T+5IkSZIkSdIwYx6OhRB6gPnAdyr7YowR+DawYKzblyRJkiRJkrLMGIc2XgV0A8/X\n7H8e+LWM5xwPsGvXrjHslqa7AwcOsGPHjonuhqYw7yG1g/eRRst7SKPlPaR28D7SaHkPaTRS+dDx\nY3H+kAziGjshhFOBfcCCGOPDqf2fB94WYxw2eiyE8B+Avx3TjkmSJEmSJGkq+f0Y49+1+6TjMXLs\np8Ax4NU1+18NPJfxnC3A7wO7gRfHrGeSJEmSJEma7I4HziDJi9puzEeOAYQQHgIejjGuLH8fgD3A\nDTHGL455ByRJkiRJkqQ6xmPkGMB64K9CCNuBR0hWrzwR+Ktxal+SJEmSJEkaZlzCsRjjN0IIrwI+\nQzKd8p+AJTHGn4xH+5IkSZIkSVI94zKtUpIkSZIkSZqMuia6A5IkSZIkSdJEMRyTJEmSJElSx5p0\n4VgI4fIQwlMhhBdCCA+FEH5rovukySmEsCqEUKr52llzzGdCCM+EEA6HEO4OIbxhovqrySGEcH4I\nYWMIYV/5nrmozjEN75sQwswQwkAI4achhGII4ZYQwi+P31VoIjW7h0IIX6nz2bSp5hjvoQ4WQvij\nEMIjIYTBEMLzIYT/FUL41TrH+VmkuvLcQ34WqZEQwqUhhMdCCAfKXw+EEJbWHONnkBpqdh/5OaRW\nhRCuKt8n62v2j/nn0aQKx0IIvwesA1YBvwk8BmwJSTF/qZ5/Jlnk4ZTy13mVB0IInwaWAx8Ffhs4\nRHI/HTcB/dTkMYtkUZDLgGFFF3PeN9cD7weWAW8DXgN8c2y7rUmk4T1Utpnqz6ZLah73Hups5wMb\ngLcCi4Ee4FshhBMqB/hZpCaa3kNlfhYpy17g08A8YD5wD3B7CGEu+Bmk3BreR2V+DimXkAyM+ihJ\nDpTePz6fRzHGSfMFPAT0p74PwNPApya6b35Nvi+SEHVHg8efAa5Ifd8LvAD87kT33a/J8QWUgItq\n9jW8b8rfvwR8MHXMr5XP9dsTfU1+TYp76CvArQ2e4z3kV+098ary+39eap+fRX6N9h7ys8ivlr6A\n/cB/Lm/7GeRXO+4jP4f8ynvfzAaeAN4FfBdYn3psXD6PJs3IsRBCD0na/J3Kvphc1beBBRPVL016\nbyxPbXoyhPA3IYTTAEIIZ5L8ZSJ9Pw0CD+P9pAw575tzgBk1xzwB7MF7S0PeUZ7q9C8hhC+HEF6Z\nemw+3kOq9gqSUYg/Az+LNCJV91CKn0VqKoTQFUL498CJwAN+Bmkkau+j1EN+DimPAeCOGOM96Z3j\n+Xk0Y6Q9HwOvArqB52v2P0+S+km1HgL+gCRhPhVYDXwvhPAbJD9Akfr30ynj10VNMXnum1cDvyh/\nKGcdo862mWQY91PA64E/BTaFEBaU/+hzCt5DKgshBJKpAPfHGCt1M/0sUm4Z9xD4WaQmyv9mfhA4\nHiiSjLp4IoSwAD+DlFPWfVR+2M8hNVUOVd9CEnLVGrd/E02mcExqSYxxS+rbfw4hPAL8CPhd4F8m\npleSOl2M8Rupb38YQngceBJ4B8kwcSnty8CvA4smuiOasureQ34WKYd/Ac4GTgI+DHw1hPC2ie2S\npqC691GM8V/8HFIzIYRfIfkDz+IY45GJ7MukmVYJ/BQ4RpL6pb0aeG78u6OpJsZ4APh/gTeQ3DMB\n7ye1Js998xxwXAiht8Ex0stijE+R/D+usqqO95AACCHcCLwPeEeM8dnUQ34WKZcG99AwfhapVozx\naIzxf8cYvx9j/GOSItgr8TNILWhwH9U71s8h1ZoP/BKwI4RwJIRwBHg7sDKE8AuS0V/j8nk0acKx\nckq4HXh3ZV95mPi7qZ6zLNUVQphN8kH7TPmD9zmq76deklWdvJ9UV877ZjtwtOaYXwNOJxlSLlUp\n/0XsZKDyi6v3kCqhxsXAO2OMe9KP+VmkPBrdQxnH+1mkZrqAmX4GaZS6gJn1HvBzSHV8G3gzybTK\ns8tfjwJ/A5wdY/zfjNPn0WSbVrke+KsQwnbgEeAKkoJ+fzWRndLkFEL4InAHyVTKOcB1wBHga+VD\nrgeuDiH8K7Ab+BOS1U9vH/fOatIIIcwiCVFDedfrQghnAz+LMe6lyX0TYxwMIfwlsD6E8G8ktRVu\nALbGGB8Z14vRhGh0D5W/VpHU13iufNznSUa1bgHvIUEI4cskS9lfBBwKIVT+GnogxvhiedvPImVq\ndg+VP6f8LFKmEMLnSOpB7QEKwO+TjNZ4b/kQP4PUVKP7yM8h5RFjPASk62USQjgE7I8x7irvGpfP\no0kVjsUYvxFCeBXwGZIhcP8ELIkx/mRie6ZJ6leAvyP568NPgPuBc2OM+wFijF8IIZwI3ESyitN9\nwAUxxl9MUH81OZxDUuMglr/Wlff/T+APc943V5BMA7+F5C9jdwGXj0/3NQk0uocuA/4d8BGS++cZ\nkn8AXltTR8F7qLNdSnLv/GPN/v8MfBVy/z/M+6hzNbuHjuFnkRr7ZZL/b50KHAB+ALy3slKcn0HK\nKfM+CiEcj59DGplY9c04fR6FZJEISZIkSZIkqfNMmppjkiRJkiRJ0ngzHJMkSZIkSVLHMhyTJEmS\nJElSxzIckyRJkiRJUscyHJMkSZIkSVLHMhyTJEmSJElSxzIckyRJkiRJUscyHJMkSZIkSVLHMhyT\nJEmSJElSxzIckyRJmuJCCE+FEPomuh+SJElTkeGYJElSC0IIXwkh3Fre/m4IYf04tv2fQgj/Vueh\nc4D/Nl79kCRJmk5mTHQHJEmSOl0IoSfGeCTPoUCs3Rlj3N/+XkmSJHUGR45JkiSNQAjhK8DbgZUh\nhFII4VgI4fTyY78RQtgUQiiGEJ4LIXw1hHBy6rnfDSFsCCF8KYTwE+Cu8v4rQgg/CCEcDCHsCSEM\nhBBOLD/2duB/ACel2ru2/FjVtMoQwmkhhNvL7R8IIXw9hPDLqcdXhRC+H0L4j+Xn/jyEcHMIYdY4\nvHSSJEmTiuGYJEnSyPQBDwL/HXg1cCqwN4RwEvAdYDswD1gC/DLwjZrnfwR4CVgIXFredwxYAfx6\n+fF3Al8oP/YA8HFgMNXe2tpOhRACsBF4BXA+sBh4HfC1mkNfD1wMvA94P0nQd1VLr4AkSdI04LRK\nSZKkEYgxFkMIvwAOxxh/UtkfQlgO7IgxXpPa938De0IIb4gx/mt59/8XY7yq5pw3pL7dE0K4Bvgz\nYHmM8UgI4UBy2FB7dSwGzgLOiDE+U27/I8APQwjzY4zbK90C/lOM8XD5mL8G3g1cU+eckiRJ05bh\nmCRJUnudDbwrhFCs2R9JRmtVwrHtNY8TQlhMMnrrTUAvyb/VZoYQjo8xvpiz/TcBeyvBGECMcVcI\n4efA3FS7uyvBWNmzJCPcJEmSOorhmCRJUnvNJpnW+CmS0Vlpz6a2D6UfCCG8FrgDGAD+H+BnJNMi\n/wI4DsgbjuVVuwBAxJIbkiSpAxmOSZIkjdwvgO6afTuADwE/ijGWWjjXfCDEGK+s7Agh/Psc7dXa\nBZwWQpgTY9xXPs+vk9Qg+2EL/ZEkSeoI/nVQkiRp5HYDbw0hvDa1GuUA8ErgayGEc0IIrwshLAkh\n/I9ysfws/wr0hBD6QghnhhD+L+BjddqbHUJ4Vwjh5BDCCbUniTF+G/hn4G9DCL8ZQvht4H8C340x\nfn9UVytJkjQNGY5JkiSN3FqSFSZ3Aj8OIZweY3wWWETy76wtwA+A9cC/xRhj+Xmx9kQxxh8AnyCZ\njvk4cAk1q0fGGB8E/hz4OvBj4L9mnO8i4N+Ae4FvkQRvtaPQJEmSRDJ0f6L7IEmSJEmSJE0IR45J\nkiRJkiSpYxmOSZIkSZIkqWMZjkmSJEmSJKljGY5JkiRJkiSpYxmOSZIkSZIkqWMZjkmSJEmSJKlj\nGY5JkiRJkiSpYxmOSZIkSZIkqWMZjkmSJEmSJKljGY5JkiRJkiSpYxmOSZIkSZIkqWMZjkmSJEmS\nJKljGY5JkiRJkiSpYxmOSZIkSZIkqWMZjkmSJEmSJKljGY5JkiRJkiSpYxmOSZIkSZIkqWMZjkmS\nJEmSJKljGY5JkiRJkiSpYxmOSZIkSZIkqWMZjkmSJEmSJKljGY5JkiRJkiSpYxmOSZIkSZIkqWMZ\njkmSJEmSJKljGY5JkiRJkiSpYxmOSZIkSZIkqWMZjkmSJEmSJKljGY5JkiRJkiSpYxmOSZIkSZIk\nqWMZjkmSJEmSJKljGY5JkiRJkiSpYxmOSZIkSZIkqWMZjkmSJEmSJKljGY5JkiRJkiSpYxmOSZIk\nSZIkqWMZjkmSJEmSJKljGY5JkiRJkiSpYxmOSZIkSZIkqWMZjkmSJEmSJKljGY5JkiRJkiSpYxmO\nSZIkSZIkqWMZjkmSJEmSJKljGY5JkiRJkv5/9u48zua6/eP463MkWSYqlXIrEy3TTqrfpLSQpCzl\n7o5Suutu1xQpiRqJ3MqalHaVrW5aKExEm4aKNu6J7GmxlHQa2zCf3x/XuI0xwwwz53uW9/PxmAfO\nnDnnOmbmnPO9vtciIpKwlBwTEREREREREZGEpeSYiIiIiIiIiIgkLCXHREREREREREQkYSk5JiIi\nInHNOXe8cy7XOfePoGMpinPutrwYDws6FhEREZFEo+SYiIiIRFReEmhPH9ucc41K8W79vt6Ac26Y\nc+7L0gimEJ5SiFFERERESm6/oAMQERGRhNO+wL87AE3yLnf5Ls8qjTvz3i9wzlX03m/Zx5u6FHi1\nNGISERERkeih5JiIiIhElPd+dP5/O+dSgSbe+zHF+Xrn3AHe+00lvM99Sow5504EagOT9uV2Ek1e\nUnJj0HGIiIiI7I7aKkVERCRqOecuyWuzvMI518859xPwl3Nuf+dcdefcIOfcPOfcX865P5xzE/MS\nWflvY5eZY865sc65Nc65Ws65d51zYefcKudcnyJCuQxY473/3Dl3bd7tnVlIvHfnfe6YvH/Xc869\n6pxb4pzb6Jz72Tn3rHOu6l7+fxT79vIe2wjn3C95113knBvqnHP5rnOwc+5J59xy59ymvD9fcs4d\nmPf5Qmeh5fu+nJXvslnOuc+dc2c75z51zm0AHsr7XBvn3KS8eDc55xY657rmjyXf7TR0zmU459bl\nfV+/cs7dViCe4wv5ul7OuS3Ouep7838rIiIiiUuVYyIiIhILHgWygX5AZWAbcDzQDBgHLAeOAG4D\nPnTOnei9X7ub2/NAeWAq8CHQJe+2HnDOLfTev1Lg+pcCU/L+/g6wCfgH8EWB6/0D+NJ7vyTf1x0J\nvACsAk4Bbs2L/YLiPfRd4tjj7TnnauXFVhF4FlgIHJUXX3lgS14C7DOsIu4F4BvgMKA1UAP4k93P\nQit4uc/7uonAa8AI4Ke8z90IrAOeADYAFwN9gUpAer64LwfexL6fA/Me40lYcnI48DowGLgWeLjA\n/bcDpuzh+y4iIiKyCyXHREREJBY4oKH3fuv/LnDuC+99yk5Xcm4MMB+bYzZgD7eZBPTy3g/M+/ez\nzrl5wE3A/5Jjzrkk4FwsIYP3/i/n3GQs0XRfvuvVAv4v/2XAAO/9YwVi/Ap4yTl3hvd+zh4f+c6K\ne3v9gYOA+t77+fmunj+h1B04FrjUe/9+vsuLqp4rjppAB+/9yAKXX+m935zv3886514G0pxzj3jv\nc51z+2EJsMVAA+99dsEb996vc869B1yT/7HktebWAR7ch9hFREQkQamtUkRERGLBS/kTY7DzHDHn\nXDnn3MHAH8BSoH4xb/e5Av/+FDimwGWX5P2ZP4H0OvC3vKTMdlfn/fmffDH+LyHknDvAOXcIMBtL\n9hU3xv8pzu3lJZkuB8YVSIwVdCUwu0BibF+FgVF7iLtKXtyfAgdiSS2As7GquIGFJcbyeRVILvB/\nfy1W6TZh38IXERGRRKTkmIiIiMSCZQUvcM6FnHP3O+cWA5uBtcBqrBqqODO9/vDe/1XgsnVYxVV+\nzYHPvPfr8132LrCRHQkxsEqyWd77H/PFWN05N8w5twprJ1wD/BdrQSzx3LFi3t6RWDvl7hJjAMnA\nvJLGsAc/eu93acN0zp3qnJvgnFuPJbHWAM/nfXp73HWwx7GnuN8Dfievks85Vw64CksGbt7dF4qI\niIgURm2VIiIiEgsK23jYC2ujGw7MwBJbucAzFO8E4LYiLi84JL4ZNufqf7z3G5xzE4G/A/c455KB\nBsDdBb72bWwu2OPAd9jctAOwuVx7c5KytG9vT4qaN1auiMt3+T7lVYl9jM0P64YlOjcBqdj3sERx\ne++3OufGAlc75+7Gvj/VgYKtnCIiIiLFouSYiIiIxKo2wCTv/R35L8xrr1xcGnfgnGsAHI5VKxX0\nOvAP59x5QEMs2faffF97OHAOcJ/3fkC+y0/ey1iKe3s/Y0mqPd3P0mJcZ13en9Wwqrztau8p3nya\nYPPdGuefseacO6nA9RZjicmTsUUBu/MqcAe2oKAd8JP3/sMSxCQiIiLyP2qrFBERkWhXVPXSNgpU\neTnnrgMOKcX7bo61ChbW6jcZ+Atoi7VUfuq9/7VAfLDr+61OFP2YdqdYt5c3m20i0GYPibjxwNnO\nuUt2c53tCatG2y/Im2l2877E7ZyrgG0WzW82tt3y3rwlCEXy3n+BbeC8FWhFIXPORERERIpLlWMi\nIiIS7Qq2OW73LnCfc+454AvgNGwG2LJSvO/mFF41hvd+s3PuHeA6oDJwZ4HPr3XOfQ70cM5VxtoK\nLwX+RtGPqUglvL2uwAXAZ865Z4EFedf7B3B63jKDx4ArgAnOuReBr7H2xNZAe+/9Qu/93LxtmAOc\nczWweWHXAjklCP1jbFD/GOfcUOz95/XYnLj8j2+rc+4OLGn3lXPulbzHmAIc471vVeB2XwN6Y4lB\nJcdERERkr6lyTERERKLB7iqpivpcT+BJ4DJgIHAi0BT4tZCvKew2irpdD+CcOxSbI1ZocizP61hi\nbCswrpDP/x2YDqRhiZz1QMu8+9ib6rFi3Z73fjm2/fFtLBH1JHANMIW8xJb3/k+sTfOFvNsYglWE\nfY39H253NZZ8fBC4H0tK9iwivl0ek/d+NbY9cy3QB5vL9jbQo5DrTgQaYy2fXYAnsKq1iYXc12t5\n9/eN9760FwuIiIhIAnGFLBQSERERSXh5LZrDgUO895uCjkd2llfJthK433s/MOh4REREJHapckxE\nRESkcGuBNCXGota/sO2ko4MORERERGKbKsdEREREJGY45xpjGy17ARO899cFHJKIiIjEOCXHRERE\nRCRmOOcygdOxQf/tvfdrAg5JREREYpySYyIiIiIiIiIikrD2CzqAwjjnDgEuwVaxa86HiIiIiIiI\niEjiOgCoDWR4738r7RuPyuQYlhgbFXQQIiIiIiIiIiISNa6lDJbxRGtybBnAyJEjSUlJCTgUEUlU\nnTp1YtCgQUGHISIJTs9FIhIN9FwkIkHKysqiffv2kJcvKm3RmhzbBJCSkkL9+vWDjkVEElTVqlX1\nHCQigdNzkYhEAz0XiUiUKJPRW6GyuFEREREREREREZFYoOSYiIiIiIiIiIgkLCXHREREREREREQk\nYSk5JiJShHbt2gUdgoiInotEJCrouUhE4pmSYyIiRdCbQBGJBnouEpFooOciEYlnSo6JiIiIiIiI\niEjCUnJMREREREREREQSlpJjIiIiIiIiIiKSsJQcExERERERERGRhKXkmIiIiIiIiIiIJCwlx0RE\nREREREREJGEpOSYiIiIiIiIiIglLyTEREREREREREUlYSo6JiIiIiIiIiEjCUnJMREREREREREQS\nlpJjIiIiIiIiIiKSsJQcExERERERERGRhKXkmIiIiIiIiIiIJCwlx0REREREREREJGEpOSYiIiIi\nIiIiIglLyTEREREREREREUlYSo6JiIiIiIiIiEjCUnJMREREREREREQSlpJjIiIiIiIiIiKSsJQc\nExERERERERGRhKXkmIiIiIiIiIiIJCwlx0REREREREREJGEpOSYiIiIiIiIiIglLyTERERERERER\nEUlYSo6JiIiIiIiIiEjCUnJMREREREREBPDeBx2CiARAyTERERERERFJWOFwmLS0dJKTm1CrVmuS\nk5uQlpZOOBwOOjQRiZD9gg5AREREREREJAjhcJjU1DZkZXUmN7cn4ADPsGEZTJ/ehszM8SQlJQUc\npYiUNVWOiYiIiIiISELq3r1/XmKsGZYYA3Dk5jYjK6sTPXoMCDI8EYkQJcdEREREREQkIU2cOJPc\n3EsK/VxubjMmTJgZ4YhEJAhKjomIiIiIiEjC8d6zYUNldlSMFeTIyamkIf0iCUDJMREREREREUko\n2dnQtatj9epsoKjkl2fTpmy2bSsqeSYi8ULJMREREREREUkYkyfDySfDk0/C//1fQ0Iv8MT6AAAg\nAElEQVShjCKuOYXffjuX00+HjKKuIiJxQckxERERERERiXu//AJXXw3Nm0PdujBvHrz/fhdSUgYS\nCk1mRwWZJxSazEknDeKjj+7l4IOhWTP7uqysIB+BiJQVJcdEREREREQkbuXmwvDhkJICM2bAyJHw\n/vuWIEtKSiIzczwdO86mdu2m1KzZitq1m9Kx42wyM8fTqFESH30E48bBggVwyinQsSOsXRv0oxKR\n0uSicbigc64+MGfOnDnUr18/6HBEREREREQkBn33Hdx6K2Rmwk03weOPw8EHF3197z3OFT5jbPNm\nGDoUHn0UnIOHHoK77oL99y+j4EXkf+bOncsZZ5wBcIb3fm5p374qx0RERERERCSubNgA3bpB/fqw\nbh189BG88MLuE2NAkYkxgAoVoEsXWLQIrrkG7r8fTjwR3noLorDmRERKQMkxERERERERiRsZGTZw\nf9AgePhh+PpraNSo9G7/0EPh6afh22+tNfPKK+HCC+Grr0rvPkTEhMNh0tLSufzy28r0fpQcExER\nERERkZi3apVVdDVrBsnJlrx66CGr+CoLJ50EU6bY9svVq+GMM+Cf/4Sffy6b+xNJNOFwmNTUNgwb\nlsovvzxTpvel5JiIiIiIBC4a5+CKSGzIzYXnn4cTTrBB+6+8AtOmwXHHReb+mzWzRNxTT8HEiXa/\njz5qrZ0isve6d+9PVlZncnObAUW3PJcGJcdEREREJBDbWyWSk5tQq1ZrkpObkJaWTjgcDjo0EYkR\n8+dby+Qtt0Dr1vD993D99TYwP5L22w/uuMPmkd1+uyXHjj8eRo2y5J2IlNzEiTPJzb0kIvel5JiI\niIiIRFz+Volly6by00/vsGzZVIYNSyU1tY0SZBITVPEYnI0boXt3OP10WLMGZsyAl1+G6tWDjata\nNXjiCcjKgrPOgvbtITUVPvss2LhEYo33npycypR1xdh2So6JiIiISMQV3irhyM1tRlZWJ3r0GBBk\neCJFUsVj8KZNg1NOgf79oUcPa2m84IKgo9pZnTowfjx8+CFs3QoNG8LVV8OyZUFHJhIbnHOUL58N\nROYkhJJjIiIiIhJxu2uVyM1txoQJMyMckcieqeIxWKtXw3XXwcUXw9/+Bt98A+npZTdwvzScfz58\n8QWMGAGffmpz0bp1gz//DDoykeh36aUNgYyI3JeSYyIiIiISUXtulXBs2VJJLWsSdVTxGIzcXHjx\nRUssTZpk7ZMzZti/Y0EoBB06wMKF0LUrDBkCxx4Lzz0H27YFHZ1IdNqyBZYs6YJzAwmFJlPWFWRK\njomIiIhIRDnnCIV21yrh+fXXbB57zLFuXSQjE9k9VTxGXlaWtUz+61/QooUN3L/hhsgP3C8NlSvD\nI4/AggXQtCnceivUq2dtoiKyw9atNq9vxowk3nxzPB07zuaII+4o0/vcq+SYc+5O59xS59xG59ws\n59yZu7nu+c653AIf25xzh+192CIiIiISq375BbKzi26VCIWmcOKJ5/Loo3DUUXDvvbByZWRjFCmo\nOBWPf/1ViW3bVPFYGjZtgocfhtNOg19/hQ8+gFdegUMPDTqyfVerFrz2GsyeDQceaG2iLVpY0kwk\n0eXmWjL8zTfhjTegdeskhgzpybvvPlOm91vi5Jhz7mpgAJAO1AO+ATKcc7vbC+KBY4EaeR9HeO9X\nlzxcEREREYllS5bAuedChQpdqFu3YKuEJxSaTErKID777F6WL4e0NHjpJTjmGPjnP62KRCQIex4O\n7Vm7NpvkZEeXLvDll6DO4L0zfTqceir8+9/wwAM2cP+ii4KOqvSddRZ88oklAObNg5NPtue8334L\nOjKRYHgPd90Fr75qH61aRe6+96ZyrBPwrPf+Ve/998BtwAbgxj183Rrv/ertH3txvyIiIiISw+bN\ns8RYuXKQmZnE3LnWKlG7dlNq1mxF7dpN6dhxNpmZ40lKSuLww6FPH1ixAvr2halT4cQT7c3yZ58F\n/WgkEZ166u4rHv/+93Np2dKqgs480+ZK9ehhP/uyZ2vW2Gyuxo2hRg0buN+rFxxwQNCRlR3n4Kqr\nLPHfu7cN7j/2WBg82GYuiSQK7y0Z/vTTNo/vmmsie/+uJINOnXPlsURYG+/9hHyXjwCqeu+vKORr\nzgdmAMuAA4B5QE/vfZFvaZxz9YE5c+bMoX79+sWOT0RERESi06xZ0Lw5HH00TJkChx++8+e997g9\nDBHasgVGjYLHH7e5Q+eea8Otmze3gdciZWnUKOjQIUylSm3Izu6Ubyi/JxSaQkrKoP8ldrduhQ8/\nhLFjYfx4+OMPOOkkaNsWrr7akh+yg/fWMtmli7VUPfGEVYom4u/16tXWTvr881CnDvTvby2XsThj\nTaQkeveGhx6CQYPgnnt2/fzcuXM544wzAM7w3s8t7fsv6dNNdaAcsKrA5auwdsnC/ALcCrQBrgR+\nBD50zp1ewvsWERERkRg0dapVgpx0km2YK5gYA/aYGAPYf387YJ4/H955xw6iW7Sw9qtXX4WcnDII\nXgQ7WGvfHjp0SGL58t1XPALstx80aQIvvACrVsHEiXD66dCvHxx3HDRoYEmPFSsCfmBRYMECuPBC\n+91u1swS3zfdlJiJMYDDDoPhw+Hrr6F2bauUbdLE/i0SrwYPtsTYo48WnhiLhJJWjh0B/ASkeu9n\n57u8H9DIe59azNv5EFjuve9QxOfrA3MaNWpE1apVd/pcu3btaNeuXbFjFhEREZHgjBtnrRFNmtjf\nK1Uq3dv/9FNLOLz7rg257tzZBvlWqVK69yOJaXubz+OPQ7du1uabP49bnIrH/DZsgEmTrKLsvfds\n6HzDhlZR9ve/Wythoti82WaKPfaY/e4+84wNppcdvLefl3vvhYUL4cYbrbomkX5OJP49/zzccotV\ngvfta8+xY8aMYcyYMTtdb/369Xz88cdQRpVjZd5WWcTtPA409N43LOLzaqsUERERiXEvvmhveK++\n2ubo7L9/2d3XvHnWijV6NCQlwZ132mDreNhsJ8HYuhVuvtl+dgcPhrvvLt3b//NPmDABXn8dMjJg\n2za44AJLlF15JRxySOneXzT58EO47TZYvNgOiLt3h4oVg44qeuXkwLPPQnq6tZd36wadOun/TGLf\n6NFWlXvHHTB06O7bh6OqrdJ7nwPMARpvv8zZqZLGQEnGop6OtVuKiIiISBx64gmr4Lr1Vhg5smwT\nY2Bb3l55xQ62O3SwNrijjrIk2ZIlZXvfEn82bIArrrCf3VGjSj8xBnDggXZQOHEi/PqrDaAOhSxp\nVKMGXHaZDfb/88/Sv++g/PabVT9deCFUr26tgr17K8mzJ+XLQ8eOsGiRJWx79oQTToAxY7QRVWLX\n22/D9dfba/aTTwY/V29vOrkHAjc75653zp0ADAcqASMAnHN9nXOvbL+yc+5u51xL51wd59xJzrnB\nwIXAU/sevoiIiIhEE++tquH++21L37BhkZ0ddNRRlhhbsQIefBDeeMOGn7drp5k9Ujy//27tfTNm\nWOtjJDamHXywzdmaOhV+/tkq1f780w4cDzsM2rSB//zHknaxyHubC3jCCfDWW5YI/Phjm0MoxXfQ\nQTBwoM1drFfPfjbPOccWnojEkvfft6ryK6+0tspomDFY4hC8928AXYBewFfAqcAl3vs1eVepAdTK\n9yX7AwOAb4EPgVOAxt77D/c6ahERERGJOtu2we232xyhAQNssG5QZ4IPPtiG+y5fbmekZ82yg8lL\nLoHp01VtIYVbuRIaNbIh8dOnQ9OmkY/h8MOt4vGTTyzJ26eP/fmPf1ii7Nprrdps8+bIx7Y3fvjB\nZg526GBJx++/t+qnaDgYjlXHHmtVN9On29y61FRLlGnBg8SCTz6B1q3t+WDkSFtgEg1KNHMsUjRz\nTEQkcko6TFhEpDBbtsB119nQ/RdesM1z0WTrVqu86dcPvvnGtgV27Wqtc+XKBR2dRIOsLEueOmdV\nDccfH3REO1u0yOaTjR1rM/aqVrWqi7Zt4aKLoucAc7vNm22RQZ8+cOSRNnD/kkuCjir+bNtmLeXd\nu8Mff9hSkgcesNmLItHmiy9se3WDBlaZW5KW6qiaOSYiIvEhHA6TlpZOcnITatVqTXJyE9LS0gmH\nw0GHJiIxKDsbWrWySoZx46IvMQaWOGjXDr76CqZMsQPHq66ClBRr8dq0KegIJUizZ8O551rC6bPP\noi8xBlC3riVAvvvOkmNpaVaBcckllny64w5rVczNDTpSi6tePejVywbHz5unxFhZKVfO5rj98AN0\n6WJtl8cdZwtRtm0LOjqRHb77Dpo1sxmhEyZE36xBJcdERBJMOBwmNbUNw4alsmzZVH766R2WLZvK\nsGGppKa2UYJMREpk3TprPfvkE5g0ySqxoplzO1orP/8cTjvNBqDXrm3toH/8EXSEEmlTpljl1Ykn\nWnKpZs2gI9qzk06yxNPChTBnDtxwA7z7Lpx/vs3d69zZfr4j3ST0+++2iKNRI6hWDebOhb59oVKl\nyMaRiKpUsVb2BQvs5/lf/7LqnBkzCr9+NHaQlYVEeZzRbuFCa6M86ih7r1ClStAR7UrJMRGRBNO9\ne3+ysjqTm9sM2N5O6cjNbUZWVid69BgQZHgiEkN+/RUuuMBmCE2fbq0SseTMM63VcsECq3xLT7c3\n7vffb0PRJf6NGgUtWthMrPfft4HnscQ5qF/f2heXLYOZM63VcvRoOPtsqFPHFlN8+23ZJsq8t//L\nE06w6tFnnoFPP4VTTim7+5TCHXWUfS9mzbLKnIsusue3hQsTp3MgUR5nrFi+3J5jDz7YnmerVQs6\nosJp5piISIJJTm7CsmVT2ZEYy89Tu3ZTli6dGumwRCTGLF1qZ4E3brQ3u/Gwde7XX2HIEHj6aXtc\n110H991nB/wSfwYNsgqrG2+EZ5+Nvpld+2LbNvjoI5tPNn68VXSlpNh2uLZtS7dtdPFiW8Qxdaot\nDRg8GI44ovRuX/ae97axt2tXWLkyTLVqbVi3rjO5uZdg7wM9oVAGKSkDycwcT1IcDCrb3iFhJ4Lj\n93HGil9+gfPOs5/Ffa3MLeuZY0qOiYgkEO89tWq15qef3inyOkce2YqVK9/WkH4RKdL8+dZKWbEi\nTJtmLYnx5M8/LVkyaJAlzFq1soPL//u/oCOT0uC9DSx//HHo1s0GxsfzS96WLfZ7OnaszQUMh+H0\n0y1JdvXVxf/9LbjAZ8sW6N/fWvkOP9ySys2bl81jkH2zcSM0bpxOZmYq0GyXz4dCk7n22tn06NEz\n4rGVtt690xk1KjWvQ2JnodBkOnaczZAhPSMfWAJau9Zavf/800Yv7Ot7BSXHlBwTESlVe6occ+5i\nrr9+Gm3bWotU+fKRjlBEotns2XYA/Le/QUYG1KgRdERlZ/NmWzP/xBPWetmokSXJLr00vpMp8Wzr\nVrj5Zhgxwiqc7r476Igia+NGmDzZEmXvvmv//r//s0TZVVfZYP/8wuEw3bv3Z+LEmeTkVKZ8+Wxa\ntGhIixZd6NQpie+/h3vvhYcfhsqVg3lMUjx7ev8HTYF46Bxogj0OdUgEaf16a+ldudIqxkqjWrWs\nk2NxVDwsIiJ7smULVK3aEMig8DOHU2jQ4FwyM20t+CGHwN//bm+azzvPNiKJSOL64AOrojrtNFvB\nHq1zQ0pLhQpw0022ffOdd6BfP7jsMpujdP/9VnWjEwixY8MG+55NmWIzma65JuiIIq9iRZtJduWV\n8NdfMHGiJcruu8+2Sp5/vr3mt2kDFSrkb0/ryfb2tKFDMxg6tA0NGoxnzpwkTjst4Acle+S9Jyen\nMoUnjAAc1atXYvx4H9OdA9572rSpzNq1RT/OnJxKu1RBSunKzraTaEuXwocfRuf238IoOSYikiCW\nLrWDgvnzu1CjRhtWr/b5hvJ7QqEppKQMYtq08VSpAl9/bW+Yx4619qIjjrBZIm3b2pBfvacQSSxv\nvWW//xddZAO3E6lKJBSyLZytW9sZ8H79bB5Z9+5WNXPTTYn1/xGLfv/dBu9/840ldps2DTqi4FWp\nAu3a2ce6ddZyOXYs3HmnfdSs2Z8ff+yM9/lPpjmgGc55UlMHcNppPQOKXkrCOUf58tlYhVjhFVVV\nqmTTqFGsv7lzVKmSzdq1RT9O77OVGCtDmzbZSbRvv7UTaqeeGnRExadtlSIiCeDNN6FePfjtN8jM\nTGLhwvF07Dib2rWbUrNmK2rXbkrHjrP/N6TUObt+v362/eqzzywx9sYbkJoKyck2r+XrryO/Jl5E\nIu/ll62K9IorrIIqURNBzlllzaRJlmQ57zwb6H700dCzp81XkeizcqW1xC5YYFtVlRjb1UEHWYVk\nRoZtah06FFatmon3lxR6fe+bMXHizAhHKfuiRYuGhEIZhX4uFJpCy5bnRjiisrG7xwlT+OWXc+nb\n11qspXTl5Fh79syZ1rZ91llBR1QymjkmIhLHNm+2VomhQ+3A9oUXoGrVna9TktLybdtsoObYsVY5\n8ttvViq9fftVSkoZPAgRCdTAgVYddeutMGyY2qsLWr7c/o9eeMFOFvzrX5YwK2rwsNp5IisrCy65\nxBKb778fO+09QSvOAp+aNVvx449a4BMrdmxx7FRo50C8bHHc3eM84YRBNGs2nsGDkzj7bBshcuyx\nQUccH7Ztg2uvtRPyEyZAs12nt+yzsp45psoxEZE4tXgxNGxoLZFPPWVVXwUTY0CJ3tSWKwcXXADD\nh9tq5smTbZDv4MFw4ok2h6hvX1iypPQeh4gEw3vo0cMSY926wTPPKDFWmKOPhiFDLEnWtSuMHg11\n69pBwrff2nXC4TBpaekkJzehVq3WJCc3IS0tnXA4HGzwcW72bDj3XHvt++wzJcZKYuc2vMJ4ypdX\ne1osSUpKIjNz950D8WB3j3PWrPEMGJDEJ5/A6tW2tfXpp9UFsa9yc23Rybhx8PrrZZMYiwRVjomI\nxKFx42wGzqGHWlKsrJ9KN22yAcdjx9pw3w0brJS6bVtrx6xZs2zvX0RKV24udOxoCbEnnoAuXYKO\nKHZkZ8NLL8GAAZYwa9IkzKJFbVixojO5uZewo4ohg5SUgXF1UBpNpkyxofL161sVw0EHBR1R7ElL\nS2fYsNS86pudhUKT6dhxNkOG9Ix8YFIqEqWKtajH+ddftljlmWes1frFF20Ls5SM97b196mn4NVX\noX37srsvVY6JxJBoTDZLYtm0yYboXnWVnbWZO7fsE2MABxxgg6rHjrUzcWPH2jr4Bx6AWrVsRs8z\nz9jnRCS65eTYm9tnn7VWQSXGSqZyZbjrLvjhBxg5Er76qj/LlnXO194D4MjNbUZWVid69BgQZLhx\nadQoG77fpIm1Uioxtnf69OlCSspAQqHJ7Kgg84RCk0lJGUTv3vcGGZ7so0RIjEHRj7NKFasamzIF\n5s2zLcSjR6uKrKS6d7fxLcOHl21iLBKUHBPZR2qVkGjxww9wzjl25uuZZyxBdeCBkY+jcmWbQfbW\nW5YMe/llqFTJDhaPPNLOzr30km3GEpHosmGDJbrHj7eq05tuCjqi2FW+vLVWJiXNBAofap6b24wJ\nEzTUvDQNGmQHaNdfbz/HFSsGHVHsSpQ2PElsl1xiybHmze05++qrtVyluB57zMapDBgAt9wSdDT7\nTm2VIvtgx8BHtUpIsF5/3Xr9a9SwA9rTTw86ol2tXWsHKmPHwkcfwX77WXVb27bQsqWdwROR4Pzx\nh1XbfPWVJbcvvjjoiGJfcYaaH3lkK1au1FDzfeW9VSs//rjNyOvTx4bwS+lJlDY8SVxvvAG33w77\n72+V05ddFnRE0evJJ62d8pFH4OGHI3OfaqsUiWLdu/fPS4ypVUKCsXEj3HabJZguvxzmzInOxBhA\n9eq27W7GDFi5Evr3t4TZtdfCYYfZbLI337THJPsmGk98SXRbtQouvBDmz4dp05QYKy3FGWq+alU2\nQ4c6NmyIZGTxZetWuPFGS4wNHmzVDMrhlD4lxiTe/eMfVkVWv769r775ZlAz0K5eeskSY126wEMP\nBR1N6VFyTGQfTJw4M69ibFe5uc14882ZrFkDW7ZEOLAypgPv6LBwIaSmwogR8NxzNmMlVgoVjzwS\n0tJse9jSpdCzJyxaZMOTDz/c2mEmTYq/352ypBZv2VvLl9tGv1Wr4OOPbQOtlJ4WLRoSCmUU+rlQ\naArHHnsunTtDcrItP9CvbMls2ABXXGHz3UaNsgM2EZG9dcQR8O679t56zBjbxP7xx0FHFT3GjoV/\n/ctOzj/+eHydiFBbpcheKk6rBLQC3gYcFStCtWq2Tnxv/qxSJdgnn3A4TPfu/Zk4cSY5OZUpXz6b\nFi0a0qdPF7WOBmD0aKvCOvJI+M9/4NRTg46odCxYYC2iY8bA99/DwQdbwqxtWxvqX65c0BFGJ7V4\ny976739tDmCFCjB1KhxzTNARxZ8dv5+d8lWae0KhKaSkDCIzczxr1iTRr5/NaExKgnvusTmN1aoF\nHX10+/13awX+5hurPG7aNOiIRCSeLFkCHTrAzJlw773w6KO2hCpRTZhg78vbtbOT86EIl1qVdVul\nkmMi+yA5uQnLlk1lR0tlfp4aNS7mmWem8ccfsH49xfpz69bC7ysU2vvEWtWq9rH//nv3OHXgHT02\nbrSz4s8/b+2IzzwTO9ViJeE9fPednZ16/XV7c3L44baFs21bq5iL9AtyNEtLS2fYsNS8A++dhUKT\n6dhxNkOG9Ix8YBLVvvgCLr3UkuwZGXa2XMpGOBymR48BTJgwk5ycSpQvv4GWLRvSu/e9O71+/vij\nVY89/7y9ZnfsaImyQw8NMPgotXKlDdJetcoqjc86K+iIRCQebdtmiz66d4djj4XXXoN69YKOKvKm\nTbMZbC1a2Pvz/faLfAxKjik5JlGstA9IvbfkR0mSaQX//Ouvom9/b6vXBg5M55VXdOAdtO+/t1kI\nP/wATz1l81XiqZS5KN7Dl1/uSJT99BPUqmXbhNq2tbkQxf1/iLVhwrm5VhmxZo19rF1b+N8/+qgJ\nW7YUnaivXbspS5dOjXT4EsVmzLBFGKecAu+9BwcdFHREiaM4z0O//goDB8LTT9tz4G232WwXJTBN\nVpYlxpyD99+H448POiIRiXfz5sF119mf6em2ACSIBFEQZs60ytzzz4e33977got9peSYkmMSxcLh\nMMce24ZVqzoBhbdKRLqiautW+PPPfUuw7Vq91gTQgXeQRo60g6NatWyTzimnBB1RMHJz7QV67Fhr\nJ12zBurWtSRZ27Zw0km7fk00tQRv3rznRFf+v//+uz3m/EIhOOQQqySpXh2qV/dkZLQmO7voFu+a\nNVvx44/ahifmnXcsuXz++daKVrly0BFJUX77DYYMsa1gmzbZnJf774ejjgo6suDMng3Nm1vF45Qp\nULNm0BGJSKLYsgV69YK+feHMM+GVV+I/OT9nDlx0kZ2MnjTJii2CouSYkmMSxdavh2OOCXPEEQPI\nzt59q0SsKFi9tm6dp2XL1vz2m9bQB2HDBps789JLNqR+2DCbPyeWxJ0xwxJlb75pP7MnnbQjUVa3\nbtm2BHtvieiCCa3dJbsKq+w84IAdia5DD9317wX/Xa3arrPX9tTifeihF7Nq1bSEqDSU3Xv1Vas6\nvfJKaw2pUCHoiKQ41q+35/+BA+3vHTpY1ULdukFHFllTpti8m3r1YOJEVTyKSDBmzbL35StX2lD6\nO+6Iz3Ef8+fbibS6dW0uadCHtkqOKTkmUezhh202yKJFduYy1lq2imtPB96h0MX07DmNO++0AepS\nOv77X2ujXLLEWmtuuCHoiKLXli3WWjN2rJV7Z2fDGWfAAQekk5lZvJbgrVutSqO4VV1r10JOzq6x\nVKtW/ERX9epWtbOvTxu7a/GGycBszjuvJ0OH2tYlSUxDhtj8qptvtnmFWnARe/76yzaoPfEErF5t\nQ5EffBBOPDHoyMreyJHwz39a1djYscFWL4iIZGfbSYqnnoImTexEdq1aQUdVehYtgvPOs5m/M2ZE\nx8kIJceUHJMotWoV1Kljw3L//e+goylbe5qtdtJJs/nhh56UK2cHXZ07x9eLQxBeecXOQtWubW2U\nhbULSuE2bLCy77FjYfz43bcEV6jQlKOPnsqaNbBu3a7XKFduz8mt/H+vXh3Kly/jB1iIPW3D69Nn\nPN26JbFggW05ffRRa82UxOA99OxprSBdu1o7SByex0koGzfagVi/fla5cOWVNiw6XodEDxxom+Ju\nvBGefTZx5vyISPSbOtUS93/9BUOHQvv2sf8au2KFJcYqVoSPP4bDDgs6IqPkmJJjEqXuusvOYi5Z\nEh2Z9LJUnDX0GzcmMXSotX2Ew3DNNTYXRUmdksnOtoTriBH2Qjt0qOYB7S3vPTVrtuaXX4puCa5Y\nsRW33fY2hx3mCk16VasWO29w9rQNLyfHfj/T0y3p17s33HKLDjLjXW6ubbh96ik7kdO1a9ARSWna\nssXaY/v2hcWL4fLLLUn2f/8XdGSlw3urzHj8cejWDfr0iZ3nZBFJHOvWQVqaHRteeSUMHx67W4Z/\n/dUSY1u3wiefwN/+FnREOyg5puSYRKElS+CEE+ws/AMPBB1NZBR3DX04DC+8YGd5V660N+pdu8K5\n5wYYfIyYP9/aKJcts5an668POqLYt6eW4Nq1L2bp0mmRDqvM7a7Fe/Vqa8N66SVb7PDkkzZPQuJP\nTo4l2UePtmqbm28OOiIpK1u32jbfPn1sk2OTJtCjBzRqFLvJpK1b7Wd2xAgYPNiSvCIi0Wz8eKvQ\nL1cOnn/etkLHkt9+gwsusIVQn3wCxxwTdEQ7K+vkWByOjRMpe+npVlmSlhZ0JJGTlJTEkCE9Wbp0\nKj/++DZLl05lyJCeuwwzT0qCTp3sDPaIEZZIPO88aNgQJkzYdfOe2Jnxl1+2rTfOwZdfKjFWWlq0\naEgolFHo50KhKbRsGZ9Z293NPjzsMEtgz54NlSrZm6C2beHHHyMXn5S9jRvt7OyPA3oAACAASURB\nVPUbb1jSRImx+LbffnDttTBvHowbZzMRL7jAkmMZGfY6E0s2bIArrrAqjFGjlBgTkdjQpo09D591\nFrRqBTfdZMubYsH69XDJJTY66IMPoi8xFglKjomU0Lff2hu19HQ7sExExVk6sP/+tk3ru+8sKeac\nvUiccoolzbZsKfs4Y8Fff9n/0403Wivq559DSkrQUcWPPn26kJIykFBoMrD96NATCk0mJWUQvXvf\nG2R4gTrzTJg50+bbffSRrSLv3Rs2bQo6MtlX69dDs2Ywfbpt9LvqqqAjkkgJhezgbO5c+97n5NjP\nwllnwTvvxMYJqt9/h4svtgHQ775rr40iIrGiRg079nnxRTtBdeqp8OGHQUe1e9nZ1u2zeLEtuDrh\nhKAjCoaSYyIl9OCDNoj/xhuDjiQ2hELQogV8+ql91KljbT516ljrZTgcdITB+e47S1C8+abNjHnh\nhcRNuJaVpKQkMjPH07HjbGrXbkrNmq2oXbspHTvOJjNz/C6Vj4kmFLIqxQULbNZdr1629e7tt2Ov\n0kTM6tVw4YV2ImfaNDsLLInHOTvQycy0YdGVK0Pr1jaw/403YNu2oCMs3MqVVm2+YIEld/XzKyKx\nyDk7Vvz2Wzj6aHtd7tw5Ok9AbtpklbpffQWTJ8PppwcdUXA0c0ykBD75xFoUxo6Fq68OOprYNX++\nraEfNQqqVIE777QFB4cfHnRkkeG9nU266y449lg7UEnUMzSRtrtZXGIHpPfcA1OmWOXGkCGqZIwl\nK1bY9+3PP62V7tRTg45Iosknn9hMsowMqxR98EFo1y6YDbuFycqyZJhzVrlw/PFBRyQisu9yc21u\n4oMPWqvia6+Bjc0KXk6OVZdnZFhi7IILgo5o9zRzTCRKeG+bkurVU4vKvjrppB3zyP75T3vBqF0b\nbr/dynnjWThsK55vvtkqdmbPVmIskpQY273jj4dJk6wda8kSS6507mxtehLdvv/eZjvm5FiVrhJj\nUtB551ni+/PP7Xe9Qwf787nnYPPmYGObPdsW91StCp99psSYiMSPUMjeS82ZAxUr2jbhXr3s9TpI\n27bZ68CkSbZIINoTY5Gg5JhIMb37rs3n+fe/7UlO9l2tWtZauWKFrZ4fPx6OO86q8uaW+rmA4H3z\nDTRoYHMItm+Pq1gx6KhEdra9HWv+fHj0UTtwPu44224ZC/OKEtGcOZb4qFp1R/u6SFHOPNPmj339\ntf39ttvsZ+bJJ20QfqRNmQIXXWRVqh9/DDVrRj4GEZGydtJJMGuWVZD16mUntL7/PphYvLfn/tdf\nhzFjoHnzYOKINjrEFymGbdvsiezCC61lRUrXwQfbyvnly2HoUPjiCys3vvhim5kThd3fJeK9JRjO\nPtuSYXPmWCuLSDSrUAEeeMBaLS++2DYunX22vbGT6PHRR/baVKeOJRaOPDLoiCRWnHaaHRj997/Q\nuLFVNiQnw+OPR24e6MiRNpe0cWObjXbQQZG5XxGRIJQvD488YhWy69dbR9KTT0b25KP30KmTzTp+\n+WVb4iJGyTGRYhg92tby9u1rVRVSNipWhDvugIUL7SzG2rV2UH7mmdE9QHh3/vzTNm3dequ1kM6a\nZVU4IrGiZk07gP30U/sdTE2FG26AX34JOjKZONFmNJ19tp1IOPjgoCOSWHTCCba1duFCG9rfo4cN\nkO7VC9atK7v7HTgQrrvORgy8+aYqqUUkcZx1lg3Av+UWuPtuaNLEOmki4eGHbabs00/b86/soOSY\nyB5s3mxPIldcYQcgUvb22w/atrXWyowMaxW6+mqbQTJ8OGzcGHSExfPVV1YB9957tsThmWfggAOC\njkpk7zRsaFWdzz1nP9PHH2+LNbZsCTqyxDRypL0uXX65tf1XqRJ0RBLrjjnG2v0XL7bZmH372jzQ\n7t1hzZrSux/voWtXuPdem+X6wgv2ui8ikkgqVbIk1bRpsGgRnHKKnagoy46Zfv2gd2+rEL799rK7\nn1il5JjIHjz7rGXy+/QJOpLE4xw0bQoffGAH5fXrW2VZ7drw2GNle0Z7X3hvibDUVEhKsiSftptK\nPChXzpZJLFxolZDdutmbucmTg44ssQwdahU3N9xgifcKFYKOSOJJrVrW5rN0qVU9Dxlir7v33rvv\nFaNbt8KNN9qB2eDB9lquinwRSWSNG8N339kJrxtugCuvhNWrS/9+hg2zcRkPPwz33Vf6tx8PlBwT\n2Y1w2LLrN9xgg2IlOA0aWGvlwoX24tGrFxx1FHTpAj/9FHR0O6xfb4mwO+6Af/3LZgrUrRt0VCKl\n66CD7ID566+t7bJ5c5sbtGhR0JHFJ593Gtl7e+5LS7PnvuefV8WNlJ0aNSyJtXy5JcZefNFmkt15\np11WUhs22Ov3yJEwapS1EomIiHXJjBhhLeaffgonnwxvv116tz9iBHTsaLMle/YsvduNN0qOiezG\noEE2Myo9PehIZLu6da21ctkyuOsua8dITrYz0VlZwcY2Z461UWZkwH/+A089pTZKiW8nn2yVnePG\nwbff2iambt3gr7+Cjiz2hcNh0tLSSU5uQq1arUlObkK9eumkp4fp29eSFqq4kUg45BBLyi5fbhUH\nr79ur8U33bT7hLjP1xv0++82Q3TGDGsDvuaaCAQuIhJjrrjC5lyfc86OSrL16/ftNv/zH3u+vuUW\n6N9f7x12R8kxkSKsWWNPIHfeaRVKEl1q1LB2jBUr7M+MDDjxRGjVyqq1Isl7S4Sdcw5Uq2ZtlH//\ne2RjEAmKc7bpKCvLtvoOHmzzyEaNiv1Ns0EJh8OkprZh2LBUli2byk8/vcOyZVP55ptUjjiiDXfe\nGdabW4m4qlXtd3zZMptbM2mS/a63b28bL6HwpO6NN6ZzzjlhFiyA6dNtiYSIiBTu8MPhrbdsk+Sb\nb9r4iunT9+623nvPTka0a2cD+PXeYfeUHBMpwvY5GA8+GHQksjsHHmjtRUuWWMvHggU2OPy88+zs\ndFmvRv7jD7jqKqtiu/VWmDkT6tQp2/sUiUaVKlmV7fffW6K4fXv7PZw7N+jIYk/37v3JyupMbm4z\nYPs7WQc0Y9WqTvToMSDA6CTRValirTlLlthsso8/tqrRVq3C1Ku3a1L35ZdTWby4DRkZYc46K+jo\nRUSin3NWNfbdd1ap27gx3HNPyZaSTZ9uJy9btLC2ynLlyira+KHkmEghli+37Pp991k7gUS/ChWs\ntfK//7WzLVu32ovBqafCq69CTk7p3+eXX9qSgGnTYPx4O0jQYGxJdEcfbSX8H3xgyeMGDSxxXJrb\n7uLZtm0wfvxMcnMLL6/JzW3GhAkzIxyVyK4qVrTq+kWLbMTBhx/2Z/HiwpO6ubmdePVVJXVFREri\n6KPtOGPQIFsSV7++LSkrTP5W9sxMaNkSLrgAxozRfNLiUnJMpBA9e9rA6XvuCToSKalQCFq3ttbK\njz6yF5UOHayaa/Dg0pmF5L0NIz/nHKheHb76yjbLiMgOF11kA/uHDLFlGscdZ1sWt24NOrLo8vvv\n1p720EPQpAlUq+b5+efK7EguFOTIyam005tgkSDtv7/NsznooJmAkroiIqUpFLJj0rlzrXI3NdUq\n9XNyCm9lb9cunWbNwtSvb22ZOnFffEqOiRQwf75VGj30kD0BSWxyDho1sl77b7+F88+39sujjrKB\nwntbxbJunSXC7rnHzph/+qktBBCRXe23n7UcL1wI//iHbaerV2/vZ2fEum3b7Pno2WetXeKEE6w6\n+bLL4Lnn7DWne3dHjRrZQFHJL0/58tk4DQ6RKOK9Z+tWJXVFRMpKSoqd/H/oIejTB846K0z9+ru2\nso8dm8qWLW0YMyZMpUpBRx1blBwTKaB7d6s2uvnmoCOR0nLKKfDaa7B4MVx3HQwYYN/jjh1h6dKi\nv67gm/jPP7dy5g8/tNbNQYPsjLmI7N6hh1pC6MsvbU5g48Y2q2/58qAjK1sFq8IOOghOO80S6999\nZ5eNHGnPTb/+amvbH3gArrqqIaFQRqG3GQpNoWXLcyP8SER2zzlH+fJK6oqIlKXy5a1qbNYsWLas\nP4sWFd7KvmVLJx5/XK3sJaXkmEg+mZnwzjvw6KNKesSjo4+2Fq8VK6BrVxg7Fo491ra4fP21Xaew\n8uS0tHT69g3TsKFtkPnqK2vdFJGSqV/fqi1HjrTlFSecAI88UrIBs9GqOFVhDz5oyfX162HOHNty\ne+21cMwxO2+Q6tOnCykpAwmFJrMj2eAJhSaTkjKI3r3vjfwDFNmDFi2U1BURiYQGDeDAA9XKXtpc\nNJY3O+fqA3PmzJlD/fr1gw5HEoT3NrTwjz8s+RFS6jjuZWfDSy9ZJdny5dC4cZjFi9uwYkXnvGHY\nDjswzQAGctdd4+nfP0mJU5FSEA7bVuCBA+GII+z38MorY2fN+O+/25nbzEz7+Pxze0zlyll1WGrq\njo/k5JI/rnA4TI8eA5gwYSY5OZUoX34DLVs2pHfve0lKSiqbByWyD8LhMKmpbcjK6pSvksETCk0h\nJWUQmZnj9bMrIlIKvPfUqtWan356p8jr1KzZih9/fDuuKnbnzp3LGWecAXCG977U96ErOSaSZ8oU\nuPRSm1HVvHnQ0Ugk5eTYwPC7707nt99SgWa7XCcUmkzHjrMZMqRnxOMTiWc//ACdO8O779oQ/yFD\n4OSTg45qZ9u22TzK7YmwWbNgwQL73KGH7pwIa9AAKlcu3fv33sfVm1uJX0rqiohERnJyE5Ytm0rh\nsx49tWtfzNKl0yIdVplSckzJMYmA3Fxr9znwQNtwqGOQxLTnF5mmLF06NdJhiSSESZNs0cWSJTaT\na/vW4CCUdVWYSCJQUldEpOykpaUzbFhqXqXuzuL1pH5ZJ8f2K+0bFIlFr78O33xjs3D0Pi4xee/J\nySnepi292Rcpfc2b24D6IUOgVy8YPdraLm+80ZJSZaU4VWEPPlh2VWEi8UqvlSIiZadPny5Mn96G\nrCxfaCt7797jgw4x5ig5Jglvyxbo0QNatICGDYOORoKy86atwivHtGlLpGztvz/cdx+0b29bG2+5\nBYYPhyefLPz5eW+S1XuqCmvSxLZLqipMREREolVSUhKZmePzWtkHFmhl14zHvaHkmCS8F1+EpUtt\nS6UkthYtGjJsWEYR5cnatCUSKUccAa+8ArfdBnfdBeeeawmzfv0gKSlM9+79mThxJjk5lSlfPpsW\nLRrSp0+XXd4IqipMRERE4lVSUhJDhvRkyBC1spcGzRyThJadDXXrQtOmdiAmiU2btkSiT24uvPwy\ndOsG2dlhkpLasGbNzhtlQ6EMUlIG8t5745k/P0mzwkRERETijAbyKzkmZeixx2zo88KFULt20NFI\nNNCmLZHo9McfcOGF6Xz9deEbZWEyMBvoGZENkiIiIiISORrIL1JGfvvNWnRuv12JMdlB5cki0ala\nNfjjj5lAzyKu0Yzq1Qcye7aqwkRERESkZEJBByASlH79rF2ne/egI5FopcSYSPQozkbZChUqkZzs\nlRgTERERkRJRckwS0sqVMHQo3HsvHHZY0NGIiMie7LxRtjDaKCsiIiIie0fJMUlIjzwCVapA585B\nRyIiIsXVokVDQqGMQj+njbIiIiIisreUHJOE8/338NJL1k554IFBRyMiIsXVp08XUlIGEgpNZkcF\nmScUmkxKyiB69743yPBEREREJEYpOSYJ56GH4G9/s0H8IiISO5KSksjMHE/HjrOpXbspNWu2onbt\npnTsOJvMzPHaKCsiIiIie0XbKiWhfPEFjBsHI0ZAhQpBRyMiIiWljbIiIiIiUtpUOSYJpVs3OPFE\naN8+6EhERGRfKTEmIiIiIqVBlWOSMKZNgw8+gLffhnLlgo5GRERERERERKKBKsckIXgPDzwAqanQ\nsmXQ0YiIiIiIiIhItFDlmCSEceNgzhz46CNQF46IiIiIiIiIbKfKMYl7OTnQvTtceik0ahR0NCIi\nIiIiIiISTVQ5JnFvxAj44Qd4442gIxERERERERGRaKPKMYlrGzdCz55wzTVw+ulBRyMiIiIiIiIi\n0UbJMYlrQ4fC6tXQq1fQkYiIiIiIiIhINFJyTOLWunXQty/ccgvUqRN0NCIiIiIiIiISjZQck7j1\nxBOwZQs89FDQkYiIiIiIiIhItFJyTOLSL7/A4MHQqRPUqBF0NCIiIiIiIiISrZQck7jUqxdUrAj3\n3Rd0JCIiIiIiIiISzfYLOgCR0vbDD/D88/Dvf0PVqkFHIyIiIiIiIiLRTJVjEncefhiOOALuvDPo\nSEREREREREQk2qlyTOLKV1/B2LHwwgvWVikiIiIiIiIisjuqHJO40q0bHH88dOgQdCQiIiIiIiIi\nEgtUOSZxY8YMyMiAceNgP/1ki4iIiIiIiEgxqHJM4oL3VjV25plw5ZVBRyMiIiIiIiIisUL1NRIX\n3nkHZs+GDz4A54KORkRERERERERihSrHJOZt3QoPPggXXwwXXRR0NCIiIiIiIiISS1Q5JjHvtdcg\nKwtefTXoSEREREREREQk1qhyTGLapk2Qng5XXQUNGgQdjYiIiIiIiIjEGiXHJKY98wz8/DP07h10\nJCIiIiIiIiISi5Qck5i1fj306QM33QTHHRd0NCIiIiIiIiISi5Qck5g1YABkZ8PDDwcdiYiIiIiI\niIjEKiXHJCatWgUDB0JaGtSsGXQ0IiIiIiIiIhKrlByTmNSnD5QvDw88EHQkIiIiIiIiIhLLlByT\nmLNkCQwfDl27wkEHBR2NiIiIiIiIiMQyJcck5qSnQ/Xq1lIpIiIiIiIiIrIv9gs6AJGS+PZbGDUK\nnn4aKlUKOhoRERERERERiXWqHJOY0r071KkDN90UdCQiIiIiIiIiEg9UOSYx49NP4d13YexYG8Yv\nIiIiIiIiIrKvVDkmMcF720xZrx5cdVXQ0YiIiIiIiIhIvFDlmMSE996DmTNhyhQIKaUrIiIiIiIi\nIqVEaQaJetu2QbducOGF0LRp0NGIiIiIiIiISDxR5ZhEvdGjYd48mDULnAs6GhERERERERGJJ6oc\nk6i2eTM8/DBccQWcfXbQ0YiIiIiIiIhIvFHlmES1556DFStg0qSgIxERERERERGReKTKMYla4TA8\n+ijccAOkpAQdjYiIiIiIiIjEIyXHJGoNGgR//gnp6UFHIiIiIiIiIiLxSskxiUpr1kD//nDnnXDU\nUUFHIyIiIiIiIiLxSskxiUp9+9pmym7dgo5EREREREREROKZkmMSdVasgGHD4L77oHr1oKMRERER\nERERkXim5JhEnfR0qFYN7rkn6EhEREREREREJN7tF3QAIvnNnw+vvgpDhkCVKkFHIyIiIiIiIiLx\nTpVjElV69ICjj4Zbbgk6EhERERERERFJBHuVHHPO3emcW+qc2+icm+WcO7OYX9fQOZfjnJu7N/cr\n8W3WLHj7bXj0Udh//6CjERERESl93vugQxAREZECSpwcc85dDQwA0oF6wDdAhnNut6PTnXNVgVeA\naXsRp8Q57+GBB+DUU6Fdu6CjERERESk94XCYtPvTSK6fTK2zapFcP5m0+9MIh8NBhyYiIiLs3cyx\nTsCz3vtXAZxztwGXATcCj+/m64YDo4BcoNVe3K/EsYwM+OgjePddCKnZV0REROJEOBwmtWkqWXWz\nyG2ZCw7wMGzJMKY3nU7m+5kkJSUFHaaIiEhCK1EawjlXHjgD+GD7Zd5qw6cBqbv5un8CycAjexem\nxLPcXOjWDc49F5o3DzoaERERkdLT/dHulhirm5cYA3CQWyeXrLpZ9OjdI9D4REREpORtldWBcsCq\nApevAmoU9gXOuWOBx4Brvfe5JY5Q4t4bb8DXX8O//w3O7fn6IiIiIrFi4rSJ5NYp/C1wbp1cJkyb\nEOGIREREpKC9aassNudcCGulTPfeL95+cXG/vlOnTlStWnWny9q1a0c7DaWKG1u22IbKFi2gYcOg\noxEREREpPd57Noc2F/3u10FOKAfvPU5nCEVERAAYM2YMY8aM2emy9evXl+l9ljQ5thbYBhxe4PLD\ngV8LuX4S0AA43Tk3LO+yEOCcc1uApt77D4u6s0GDBlG/fv0Shiix5MUXYckSeOutoCMRERERKR3e\nez778TOGzxnOL+t+AU/hCTIP5beVV2JMREQkn/xFUeFwmO6PdmfchHFlep8lSo5573Occ3OAxsAE\nsCxX3r+fLORL/gROLnDZncCFQBtgWQnjlTiSnQ29ekH79nDKKUFHIyIiIrJv/tj0ByO/Hcmzc55l\n3up5HHPQMZxzzjnMWjKr0NbK0OIQLS9uGUCkIiIi0W+npTbn58KCsruvvWmrHAiMyEuSfY5tr6wE\njABwzvUFjvTed8gb1v/f/F/snFsNbPLeZ+1L4BL7nnwSfvvNEmQiIiIisch7zxc/f8GzXz7LmHlj\n2LJtC61OaMXApgNpfExjsv/Ktjf2PssSZHnbKlkEfpbn8gmXB/0QREREotJOS21+Ltv7KnFyzHv/\nhnOuOtALa6f8GrjEe78m7yo1gFqlF6LEo99/h3794PbboXbtoKMRERERKZnw5jCjvxvN8DnD+fr/\n2bvzuKjq/Y/jrwERN0BzX3ALF9Q0ccndVDRNIRUXyiW10tvmzVvZNe3eNm/Xe1t+2rUyMzVzQcUF\nLM29cmFU1EpCcV9wX8BRWQbm/P6gKBdUcOAM8H4+Hj6GYM6cz9Awc877fL+f7+ndVPepzuvtX2dE\n0xFU8aqSeT8vLy+2rt7KhHcnEBEZgd3NjofDg0c7P8pPL/9E/4j+bLxvIw9WetDEZyMiIuJ6ItdG\n4gjOm3UdLRmDu1yLxWIJAKKjo6PVc6yAGjsWPvkko99YhQpmVyMiIiJyd3ad2sW06GnM/WUu1+zX\n6FmnJ6OajaK7X3fc3dzvuP2fm+9fTrlMl6+6cCzxGD8O/5G6ZevmdvkiIiL5gmEYVG5emTPBZzK+\ncRL4HIBmhmHsdPb+cnW1SpFbOXECPv44IyBTMCYiIiKu7mrqVcJiwpgWPY1t8duo4lWFv7X6G08H\nPI2vT/YmTPy5+b63pzcrB62kw8wOdJ3TlU3DN2X78URERAqa7fHbmbR5Emcuncl6URsnc8v9XYhc\n7+23oVQpePllsysRERERydqes3t48dsXqfphVZ6OeJr7it/H0oFLOfrSUd7q9JZTgqxyJcqxeshq\nLFjoOqcr566eu/NGIpJrXHFmlUhhYBgG3x34js6zO9Pyi5b8dOYnOnXshNuhvImtFI5Jntq3D778\nEsaPB29vs6sRERERuV5yWjJzfppDuy/b8cCnD7Dw14U81+I5Do4+yMpBK+ldvzdF3Jw7+aKadzXW\nDl1LQnIC3ed2JzE50amPLyK3Z7PZGD12NLUCauHb0pdaAbUYPXY0NpvN7NJECrw0Rxrzf5lPwOcB\ndJ/bHVuqjUX9F7H3+b0sn7Ic//3+uB3I/ehKPcckT/XvD9u2ZYRkxYqZXY2IiIhIhn3n9zEtehqz\nf5rNxaSLdKnVhVHNRvFY/cco6l40T2r4+czPdJzVkcYVG7Nq0CqKexTPk/2KFGY2my1jRVm/61eU\ndTvkhv9+f7au3oqXl5fZZYoUONfs15i5ayYfbP2AwwmH6XZ/N15r+xqdana6rgWBzWZjwrsTWBSx\niFN7T0Eu9RxTOCZ5wjAMduyw0LIlzJwJw4aZXZGIiIgUdilpKSzdu5Rp0dPYeGQjZYuXZfiDwxnZ\nbCR1ytYxpaatx7cSOCeQh2s+zNKBS/MsmBMprEaPHc3UU1Nx+N28Ip7bATdeqPICkydNNqEykYLp\nYtJFpm6bypRtU7iYdJEBDQcwts1YmlZuetvtdu7cSbNmzUAN+SW/sdlsjB//PpGRm7HbS3LhwlXK\nlGlL796vALr6IiIiIuY4ePEgn0d/zszdMzl37Rztq7dnbt+59PXvS7Ei5g5tb+3bmmUDl9FzXk+e\nXPYkX/f5+q5WwRSRnIlcG4kj+OZgDMBxv4OIyAgmo3BM5F4dTzzOh1s/ZPrO6aQb6Yx4cAQvt3mZ\n2mVqm10aoHBMconNZqN16xBiY/+Gw/Emv49PTk39jnbtQti6NVzDk0VERCTP2NPtRMZF8tmOz1hz\naA2li5VmaOOhjGo+igblG5hd3nW63t+V+SHzGbB4AD6ePnza89PrppiIyL0xDIPdp3cTsS+C+OT4\nrFfCs4DdzY5hGPobFMmhmLMx/GfLf5j3yzy8inoxptUYXnzoRSqUrGB2addROCa5Yvz4938Lxrr/\n6bsWHI7uxMYaTJjwAZMnv2lWeSIiIlJIHE04yhc7v+CLXV9w+sppWlVrxczHZjKg4QBKeJQwu7ws\nhTQIYXrQdJ6KeIoyxcrwXuB7Zpckkq+lpKWw4cgGIvdFEhkXyfHLx/H29MbD4YHdsN86IDPAI91D\nwZhIDmw6tolJmyexIm4Fvt6+/Lfrf3k64GlKFS1ldmm3pHBMckVk5ObfRozdzOHoTkTEh0zW6GQR\nERHJBemOdL7d/y3Toqfx7f5vKVW0FIMbD2ZUs1E0qdTE7PLu2oimI0hMTuRvq/9GmeJlGNt2rNkl\nieQr566e49v93xIRF8Hqg6u5knqFmqVr0qd+H4LrBdO+RnteufgKUw9NzWjGf6MD0K5du7wvXCSf\nchgOIvdF8p8t/2HL8S00LN+Q2b1n83ijx/Fw9zC7vNtSOCZOZxgGqaklud34ZLu9hIYni0ieKyzv\nO4XleYrcKP5yPDN2zWD6zumcuHyCZpWb8XnQ54Q2CnXZK9V3Mqb1GC4lX+K1ta9RulhpRjYbaXZJ\nIi7LMAz2nt9LxL4IIuMi2XJ8CwAPVXuIce3GEVwvmIblG173GTnxjYms77aeWOOG1SoPuuGx3YMl\noUsIjgmmf8P+Jj0rEdeXmp7K3J/n8t8t/yX2fCztqrcj8vFIHq3zKG4WN7PLuysKx8SpYmLgyy8t\nnD59FTDIanyyh8dVnbiJSJ6w2WyMf2c8kWsjsbvb8Uj3ICgwiIlvTCxQxEw1JAAAIABJREFUvQ8L\ny/MUuZHDcLD64GqmRU8jcl8knkU8eaLRE4xqPormVZqbXZ5TvPXwWyQkJ/CXFX/Bx9OHgY0Gml2S\niMtIc6Sx6dimzEDswMUDlPAoQdfaXfki+At61ulJxVIVs9zey8uLrau3MuHdCURERmB3s+Ph8CA4\nMJhxW8YxZuMYBiwewCvxr/Be4HsUcdMptMjvbCk2Po/+nI+iPiLeFk9wvWC+CP6CNr5tzC4t2yyG\nYZhdw00sFksAEB0dHU1AQIDZ5cgdJCbCggXw5ZewbRuULw/Vqv2Tn35qfUPPsQxubit54QWreo6J\nSK6z2Wy07taaWL8brgYfcsN/vz9bV28tEMFRYXmeIn925soZvtz1JZ/v/JwjCUd4oMID/KX5Xxj0\nwCB8ivmYXZ7TOQwHw5YNY/6e+USERtCjTg+zSxIxTWJyIqsOrCIiLoKV+1dyKfkSVbyqEFQ3iKC6\nQXSu1ZniHsVz9Ng3jr42DIPJ1sm8svoVOtToQFi/MMqXLO+spyKSL525coYp1il8suMTrqZeZVDj\nQbza5tVcXeBm586dNGvWDKCZYRg7nf34CsckRxwO+OGHjEBs8WJISYEePeCpp6BnT0hJ+X21yjG/\nBWQZZ2pubqvw9/9Iq1Xmc5qyJfnF6LGjmXpqKg6/m/uIuB1w44UqLzB5Uv5vgFhYnqeIw3Cw4fAG\npkVPY+nepRRxK8LAhgMZ1WwUraq1KvCfTfZ0O/0W9WPNwTV8N/g72tdob3ZJhZ6OifLOoUuHMpvp\nf3/0e9IcaTxY6UGC6wYTVC+IgMoBuTp96/sj3zNg8QA83T0JHxBOi6otcm1fIq7q4MWDvL/lfWbu\nnomHuwcjA0YypvUYqnlXy/V9KxxTOOZSTpyA2bMzQrFDh6BOHRgxAoYOhSpVrr+vzWZjwoQPiIjY\njN1eAg+PawQHt+Xdd19WMJYPacqW5DcpaSnc3/x+4ntnsUS7AaUXlWb0/0bneW3ONvn5ySQOSMzy\nedaMrMnh6MN5XpdIdtwuZDh/7Tyzds/i8+jP2X9xP/7l/BnVbBRDmwylTPEyeVypuZLTknl07qNE\nn4pm45MbaVq5qdklFTo6JsobDsPBtvhtROyLIGJfBDHnYijqXpTOtToTVDeIXnV7Ud2nep7WdOLy\nCfov6s/OUzv55NFPeCrgqTzdv4hZdp7ayaTNk1j862LKFi/LXx/6K8+1eC5PP4MVjikcM11KCkRE\nZARiq1dDsWIwYEBGKNauHdzNxTJdVcvfNGVLXJEtxcbRxKMcSTjC0YSjHE387d9vX5+2nYYFwONZ\nP4b7AncqP1M5X78/GYbBqemnSA9Nz/I+lSIrcXL7yXz9PKVgul3IUKpUKTYd28Rn0Z+x+NfFAPRr\n0I9RzUbRvnr7Qv16tqXY6PJVF44kHOHH4T9Sr1w9s0sqNHRMlLuupl5lzaE1RO6LZMX+FZy9epay\nxcvSq24vguoG0e3+bnh5mvv7TUlL4aVVL/FZ9GeMDBjJlB5T8CziaWpNIrnBMAzWHV7HpM2TWHto\nLbXL1OaV1q8w7MFhOZ62fC8UjikcM83PP2cEYl9/DRcuQOvWGYHYgAHg7W12dZKXNGVL8pphGJy/\ndv66sOvGAOxS8qXM+3u4eeDr40sNnxrUKF0j49anBuOeHMeZvmeyHlEVUZPDO/P/iKpaAbU4Enwk\ny+fJV9BqfKvMqSc3rtQlYobbhQwVfqqA91Bv4q7E4XefH6OajWLYg8MoV6Kc2WW7jAvXLtBhVgds\nKTY2jdiU5yNoCisdEzlf/OV4VsStICIugnWH1pGSnkL9cvUJrhtMcL1gWlVrhbubu9ll3mTmrpk8\n+82zNKnUhMX9F+Pr42t2SXILGqSRfemOdMJjw5m0eRI7T+2kaaWmvNb2NUIahJi6IIXCMYVjeSoh\nAebPhxkzIDoaKlTImDI5YgT4+5tdneS2dEc6J20nbwok5rwyh6THkzRlq4Ay46Ahq9fa7+HXscRj\nXLNfy7x/SY+S14VemV//dlupVKVbHjiPHjuaqaenZpx436AgncTc6Xl29uiMd3dvvjvwHVftV6lV\nuhbB9YIJqhtEhxod8HD3MKFqKexuFzKwH/yu+fHZ+5/RqVanfLMMfF6LvxxPu5ntKOpelB+H/0iF\nkhXMLqnAu9PFiBILSvCXyX+56XOqdLHSOkH/jWEY7D69m8i4SCL2RRB9Khp3izvta7TPbKhfp2wd\ns8u8K9Eno+m7sC9J9iTC+oXRqVYns0sSNPU5p5LsScz+aTbvb3mfg5cO0qVWF15r+xqBtQNd4v1L\n4ZjCsVzncMDGjRmB2JIlYLdnNNUfMQIefRQ8dM5UYKSkpXAs8dgtR+EcTTzKicsnSHOkZd7/vuL3\nUd27Onv/t5fk/slZPq7nIk8+m/MZffz7FMgVwgqi3D5oyMlr7cZRX38+sShbvGyOPpSzHJly0A3/\nAwVn+svdPs/ktGQ2HtmY2b8l3haPj6cP3f26E1wvmB5+PQpd/yYxz51CBl14uTsHLx6k3cx2VCpV\niQ1PbqB0sdJml1RgGYaBb0tf4nvFZ3kfz4We+I7y5fjl46Skp2R+36uo120v8lQsVbFAh8ApaSls\nOLKBiH0RRMZFcuLyCbw9venh14PgesF09+vOfcXvM7vMHDl/7Tyhi0PZeGQjkwIn8bfWf3OJIKGw\n0tTn7LuUdIlPd3zKZOtkzl87T4h/CK+1fY1mVZqZXdp1FI4pHMs1x47BrFkwcyYcOQL16mUEYkOG\nQOXKZlcnOXE55XKWU9COJh7l9JXTmfe1YKGyV+XbBhKlipYC7nwC4znPk9RBqXi4e/BonUcJbRhK\nr7q9KFm0ZN48cckWZxw0/N7v61avtyMJR3L8Wsut5zvh3QlErI3A7mbHw+FBcGAw7054t0AdHGX3\nef5+5f73E5U/X7n/ffql331+JjwTKcgchoOoE1EsjlnMlDFTbtsrr+qKqhzfdlwnmXfhlzO/0HFW\nRxpWaMh3g7+jhEcJs0sqkC6nXKZqk6pcCb1yx+n6DsPB2atnb3tcdjnlcuamnu6ef7QHuEV4Vs27\nWr4b5Xvu6jm+2f8NkXGRmSOXa5aumTldsn2N9hR1L2p2mU6R5khjwvoJTNo8iQENBzAjeEauHttI\n1jT1+e7FX47no6iPmBY9DXu6neEPDuflNi+77PGfwjGFY06VnAzLl2f0EluzBkqUgIED4amnMnqK\n6fjz3uTm9LQ79WA6knCEhOSEzPtn1YPpzwdZd9s89G6mpr06/lUWxSxiQcwCtsVvo4RHCYLrBRPa\nMJTuft3VqNSF3M1Bw4R/TLjnfl85ea3ltsLSdyInz/PE5ROsiFtBZFxkZs8X/3L+BNUNcumeL+L6\n0hxp/HD0B5bELmHp3qWctJ2kYsmKXJ1xlSsD7xwyyN2JOhFF4FeBtK/RnuWhywtM6OAqfjj6A08u\ne5ITy0/gqOpwyol3QnJClp+zRxKOcO7auT8e2+JGFa8q1PCpQc3SNW8K0Kr7VM/1UPROny2GYbD3\n/N7Miy5bjm8B4KFqD2V+lhT0npfhv4YzbPkwavjUYMnAJdQtW9fskgqdO13Ur7KsCj9v+Zn7it9X\noF+LtxN7Lpb/bvkvX//8NSWLluS55s8x+qHRVCxV0ezSbkvhmMIxp9i9+4/m+pcuZawyOWIE9O8P\npXRR4544a3paXvVgyulzzM7UtEOXDhG2J4wFMQv4+czP+Hj60Me/DwMbDqRLrS757spnQXOngwbL\nHAvG0D8+G0p4lLjutXXjQbkzX2viGq6kXmHtobVE7ItgRdwKzl07R7kS5ehZpyfB9YLpdn83XRGX\n20pNT2XdoXWEx4azfN9yzl87j6+3L339+xLiH0Ib3zaM+fuYQtETMC+tPbSWnvN60rt+b+b1naf3\nZidITktmwvoJfLj1Q9pVb8f/uvyPJwY+kSfT9a/Zr2W0KMgiQIu3xeMw/vj7KV+i/G2PDXPS9+xO\nx7n2dDubj2/ODMQOXDxACY8SdK3dleB6wfSs09PlT7idLfZcLH3C+nDqyinm9JlDcL1gs0sqNAzD\noFrLapzsdTLrO80HQqFokaJULlWZKl5Vbvnv958VpH6BW45vYdLmSUTsi6CqV1XGtBrDyGYjTV8B\n9m4pHFM4lmMXL8K8eRmh2K5dUKkSPPkkDB+eMYVS7l12pqe5Sg+me3muOZmaFnsulrCYMObvmU/c\nhTjKFi9Lvwb9CG0USvvq7XXgnocchoPdp3bTqUcnLve9nOX9fJb4MGP+jIwQzITXmriWdEc62+K3\nZZ74xJyLoah7UTrX6pzZOFkrdAlknMh/d+A7wmPDiYyL5HLKZfzu8yPEP4QQ/xCaV2l+3XtJYekJ\nmNeWxi6l36J+PNX0Kab1mqb373uw89ROhiwdwoGLB5jYeSJjWo3B3c3dZabr29PtxNviswzPjiUe\nu6e+Z7c7zq2ypwqtX27NmhNrSEhOoIpXlczPhM61OlPco3ie/R5c0eWUywxbNoyle5cyof0E3nz4\nTR3z5jLDMFi6dykDgweSNigty4vAlZdW5n8L/sdJ20lO2k5y6sqpzK9P2k5yMenidZsUK1Ls+uCs\nVBUqe90cqnkV9TL1/TarkZ0Ow8G3+79l0uZJbDq2ifrl6jO2zVgGNR6U70YYKxxTOJYtDgesW5cR\niC1dCunp0KtXxrTJ7t2hiHkrrxZIt5ueZjlg4f5r91O2R9l76vflinIyZcswDH468xML9ixgwZ4F\nHE08SuVSlRnQcAChjUJ5qOpDOoB3MsMwOHDxAOsOr2Pd4XVsOLyBC0kXsHxlwRhiaCqT5MjBiweJ\njIskMi6SH47+QJojjaaVmmZOmQmoHKC/5ULkcsplvon7hvDYcFYeWMk1+zUaVWiUGYg1qtDotq8H\nVwkZCprZu2czbPkwxrYZy6Suk8wuJ99Jc6Tx3o/v8fYPb/NAhQf4qs9XNKrQ6Jb3deXp+vfa9yxm\nYQzb3LZh+N3ifHE/lLtYjudefY6gekEEVA4o0AsK5IRhGEzaPInx68fT7f5uzO07N98uOuDqNh/b\nzKtrXmXria1U31mdEz4ncjwqOTktmVO2U7cMzv78LzEl8brtSnqUvD40K3XDSLTffubMc7zbjews\nVqIY8/fM5z+b/0PMuRhaV2vNa21fI6heUL79W1U4pnDsrhw58kdz/WPHwN8/IxAbPBgqFq6RzHnq\nTtPTis0vRuh/Qm8Kv3x9fPNdUu9MhmFgjbeyYM8CFsYs5NSVU9TwqUFoo1BCG4XSpGITlz3QdHWn\nr5xm3aF1mYHYscRjuFvcaVm1JYG1A+lSqwsLpy7kszOfaSqT3LOE5ARWHVhFxL4IVh5Yed3ogeB6\nwXSu1ZliRYqZXaY42YVrF4jYF8GSvUtYfXA1qempNK/SnBD/EPr6981xjx1XDhnyo8lRk3npu5d4\nr8t7/L3d380uJ9/Yd34fQ5cNZcfJHbze7nXe6PhGgT5mS0hO4EjCkVsGaDv/vRPHEIdWlL1Haw6u\nITQ8FB9PH5YMXMKDlR40u6QCY+/5vYxbN45le5fxYKUH+U/gf2hVoVWejEq+Zr+WGaL9+d+NgZot\n1Xbddl5FvbKcwvnnIO1OPQRvN7Kzwk8VcA91Jz41np51evJa29doV71dvv+MVTimcCxLSUkZo8O+\n/DJjtJiXF4SGZvQSe+ghNdfPbYZhUKl5Jc4Gn83yPlpp687SHen8eOxHFuxZwOJfF3Mh6QL1ytZj\nYMOBhDYKxb+8v9klurTE5ES+P/p9ZiAWcy4GgAcqPECXWl3oUrsLHWp0wNvTO3MbTWWS3GBPt7Pp\n2CYi4yKJ2BfBwUsHKeFRgm73dyOoblCh7DtTkJy+cpple5cRHhvOhsMbcBgO2lZvS9/6fenr35ca\npWuYXaLcwpsb3+St79/ik0c/4dkWz5pdjktzGA6mbpvKa2tfo5p3Nb7q8xWtqrUyuyzTGIaBb0tf\n4nvFZ3kfHefevSMJRwhZGMKv535letB0BjcebHZJ+drpK6d5a+NbTN85nWre1ZjYeSKPP/B45ogo\nVxqVbEuxZQZm14VpV64P1f7cWxqgdLHSWYZnVbyqMP396Xx18atbzmBiP9RLrsfiTxZnOeo1P1I4\npnDsOoYBO3dmBGLz5kFCAnTokDFKLCQESpY0u8LCITE5kbe+f4uPnv0IhqLpaU5iT7ez7vA6wmLC\nWBK7hMspl2lcsTGhDUMZ2GggtcvUNrtE0yWnJbP1+NbMkWHb47eTbqRTw6dG5siwzrU63zGEcKWD\nBil4DMMg9nwskfsiiYiLYOvxrUDGimXBdYMJrhdMg/INdELl4o4lHmNJ7BLCY8PZfGwzbhY3Hq75\nMCH+IfSu35vKXpXNLlHuwDAMXlr1Eh9v+5i5fefy+AOPm12SSzqeeJzhy4ez7vA6XmjxApO6Tsr1\nlR/zgzvNkNBxbvYk2ZN47tvnmLV7Fi+2fJH3u71foEcl5gZbio0Ptn7A+1syfnfj24/n+ZbP33aU\nen4YlWwYBrZU2y2nb944Ei05LTljo9nc/jy0AI7sVDimcAyACxdg7lyYMQN+/hmqVIFhwzL+1alj\ndnWFh8NwMGv3LMatG8fV1Ks0jm2M1WLV9LRckJyWzHcHvmNBzAIi9kVwzX6NllVbEtowlAENB1DV\nu6rZJeaJdEc6u07vYt2hdaw9vJZNxzaRnJZMuRLl6Fyrc8bosFpdqF2mdo4/+PPDQYPkb2evnuXb\n/d8SsS+C1QdXc9V+lVqlaxFcL5igukF0qNFBq9i6iP0X9hMeG054bDg7Tu6gqHtRutbuSoh/CMH1\ngilboqzZJUo2OQwHI5aPYO4vc1k2cBk96/Y0uySXYRgGX//8NS+sfAFvT29mPjaTwNqBZpflMkaP\nHa0VZZ3MMAymRU9j9MrRtKzakkX9F+lCw12wp9v5YucXvPn9myQmJzL6odGMazeOMsXLmF1anjIM\ng4TkBOIvx/Nw94e50PtClvctiCM7FY4V8HDsdiel6emwZk3GKLHlyzNGjQUHZ0yb7NZNzfXzWtSJ\nKF5c+SI7Tu5g0AODmBQ4CW+Lt6an5YGrqVdZEbeCBTEL+Hb/t9jT7bSv0Z7QhqGENAihQskKZpfo\nNIZhEHchjnWH17H20Fo2HtnIpeRLlPQoSYcaHTKnSjau2DjfNtOUwi05LZkNhzdkTr+Mt8Xj4+lD\njzo9CKobRA+/Hnd9sKtg994ZhsGes3sIjw1nSewSfjn7CyU8StDDrwch/iH0rNvzumnZkj+lOdLo\nv6g/qw6sYtWgVXSs2dHskkx37uo5Rq0YxdK9SxnSeAhTekyhdLHSZpflUtSGIfdsPb6Vfov64TAc\nLO6/mLbV25pdkksyDINle5fx93V/Z/+F/QxpMoR3Or1DdZ/qZpdmusI4slPhWAEMx2w2G+PHv09k\n5Gbs9pJ4eFwlKKgtEye+gpeXF4cOZTTWnzULTpyARo0ypk0OGgTly5tdfeFzynaKcevGMfun2TSt\n1JSPe3x83QeYpqflrcTkRJbtXcaCmAWsObgGgM61OhPaKJQ+9fvkyytI8ZfjM6dJrju0jnhbPEXc\nitCqWqvMkWEPVXtIQ++lwDEMg92ndxOxL4KIuAh2ntqJu8Wd9jXaE1w3mKB6Qfjd53fdNrdbmUnv\nuXfHMAx2nNyROWVy/8X9eHt6E1Q3iBD/EB7xe0RTygqg5LRkes7ryfb47Wx4cgPNqjQzuyTTLN+7\nnJErRpLuSGdar2mENAgxuySXpePc3HP6ymkGLBrA1hNb+b9H/o/nWjynCz5/svnYZsauHcuW41t4\n5P5HmBQ4iSaVmphdlssojCM7FY4VsHDMZrPRunUIsbF/w+F4hN8vwbi5fUflyh9Su3Y4P/7ohbc3\nPPFExiix5s3VXN8MqempTI6azDs/vINnEU/+1flfjGg6Anc39yy30SiGvHX+2nnCfw1nQcwCvj/y\nPUXcitDdrzuhjUIJrhfs1KWSnSkhOYGNRzay9tBa1h1ex97zewFoUrEJXWp1IbB2IO1rtHfZ+kVy\ny4nLJ1gRt4LIuEjWHVpHSnoK/uX8M6dfNvRpSLvu7W65MpP/fo1iuJ10RzpbT2wl/NdwluxdwrHE\nY5QtXpbe9XvT178vXWp1wbOIp9llSi6zpdgInBPIoUuH+HH4j9QvV9/skvJUYnIiL333ErN2zyKo\nbhDTg6ZroZBs0HGu89nT7by65lUmWycztMlQPuv5GcU9iptdlqlutQJl1/u7ml2WyymMIzsVjhWw\ncGz06H8ydWprHI7ut/jpSqpWtfLvf79J375QQhdtTbNy/0pe+u4lDl48yPMtnufNh9/MlyOSCpOT\ntpMs/nUxC/YsYOuJrRQvUpxedXsR2iiUHn49TD3QSLInsfn45swVJaNPReMwHNQuUzszDOtUsxPl\nS2poqMjvrqReYc3BNUTGRbIibgXnrp2j2I/FSK6UDLfotVlQr5LeC3u6ne+Pfk/4r+Es27eM01dO\nU7lUZfrU70NIgxA61OhAETf1aChsLiZdpMPMDiSmJLJp+KZCs9LohsMbGLZ8GJeSLjG5+2SGPThM\nQY+4jHm/zOPpiKepV64eSwYsoVaZWmaXlOfutAKl3KywjexUOFbAwrFatQI5cmQNWU0OrlmzG4cP\nr8nrsuQ3By4eYMx3Y1gRt4JONTsxpceUArX8bWFxJOEIC2MWsmDPAnad3oVXUS961+9NaKNQAmsH\n5vr0xDRHGtEnozOnSm4+tpmU9BQqlKxA51qdCawVSJfaXahZumau1iFSUKQ70tkWv40ej/QgcUBi\nlv01fBb58OaMNylfojzlS5anXIlymV/fbiWrgiQlLYU1h9YQHhtOxL4ILiZdpIZPDUL8QwhpEEKr\naq10oiGctJ2k/cz2uFnc2DR8U4EePZVkT+L1da/zf9b/o2ONjszqPUufv+KSfj7zM33C+nAp6RLz\nQ+bziN8jZpeUJ66kXuH9Le9nawVKuVlhGNmpcKwAhWOGYeDr25v4+OVZ3qdq1cc4fnxZgX9hu5or\nqVeY+MNEPoz6kEqlKvFhtw/p699X/x8KgH3n9xEWE8b8PfPZe34vZYqVIcQ/hNBGoTxc82GnTJM1\nDIPY87GZI8M2HtlIYkoipYqW4uGaD2f2DWtUoZFeUyI5ZBgGvi19ie8Vn+V93Be44zHIg+T05Jt+\nVtKjJOVLlqd8id9Cs9++vvG/f//ax9PHZf5e7/RedDX1KisPrGRJ7BJWxK3AlmqjXtl6mYFY00pN\nXea5iOs4dOkQ7b5sR4WSFdg4bGOBbEa/4+QOhiwdwuFLh3mvy3v8tdVfFQ6LS7uUdInBSwezcv9K\n3un0DuPajyuwr9nfV6B86/u3SEhOKLQrUMrdUzhWgMIxuJuRY105fHhtXpdVaBmGwbxf5jF27Vgu\nJl3k723/zqttX1Uj4gLIMAx+OfsLC/YsYMGeBRxOOEzFkhXp36A/oY1Cae3bGjeL2103+z6eePy6\nJvqnrpzCw82DNr5tMleUbFGlBR7uHiY+a5GC5W5XZrpmv8a5q+c4d+0c566e4/y18zd/fe23r6+e\n41LypZserohbketGnmV+fWO49tvPypUo59Qpind6L0pMTmRF3ArCY8NZdWAVSWlJNKnYhBD/EPr6\n96VB+QYKxOSO9pzdQ8dZHalfrj6rB6+mZNGSZpfkFPZ0O//68V+888M7NKnUhDl95tCgfAOzyxK5\nKw7Dwdvfv81b37/FY/UeY3bv2fgU8zG7LKfRCpSSUwrHClg4drueY25uK3nhBSuTJ7+Z94UVQjtP\n7WT0ytFsPr6Zfg368X7X9wtN343C7veV2hbsWUBYTBjxtnh8vX3pU6sPKyau4Ej9Izc1+64bV5fx\nH49n85nNrDu8jv0X92PBQtPKTTNHhrWr3q7AnFiIuKLcWpnJnm7nYtLFuw7Tzl07R5oj7abHKVOs\nzM2j0G4xxfP3r7N6v8iyye4hNyr9XImGLzRk46mN2B12Hqr6EH39+9LXv+9NK3uK3I1t8dvo8lUX\n2vi2ISI0It8vzBB7Lpahy4ay69Quxrcfz4QOE3ShSvKlFXErGLxkMBVLVWTpwKUFIuDVCpRyLxSO\nFbBw7PfVKmNixgDd+WO1ylX4+3/E1q3hBbJ5nis5d/UcE9ZPYPrO6TQo34ApPabQuVZns8sSkzgM\nB5uPbWbBngV8+dGXWTb7Zj9wAuqE1MkcGdapZifKliib1yWLFFqusjKTYRhcTrl8yzAtM0S74WdX\nUq/c9DjFixS/OTgrXo6or6OwWqwYfrc4RtsPVRKr8NqE1+hTvw++Pr65/nyl4Ft/eD2Pzn2UoHpB\nLAhZcNuWA67KYTiYYp3CuHXjqOFTgzl95tCiaguzyxK5JwcuHqBPWB8OXzrMzMdm0r9hf7NLyhGt\nQCnOoHCsgIVjAJcv26hQ4QOKF99MyZIl8PC4RnBwW95992UFY7kozZHGp9s/5R8b/wHA2w+/zbMt\nntVKXZKpZkBNjgYfzXLKVrXl1Ti+63ie1yUif8ivKzMlpyVfN/Lspq//FKbt+3AfjiGOrKePRtbk\ncPThPH8OUrAt37uckIUhDHtwGNODpuerablHE44ybPkwNh7ZyF8f+ivvdXnP1FWqRZzpaupVno58\nmgV7FvBK61d4L/C9fHP+ohUoxZlyOxzLH39VBczZs16kpLzJ0qXQvXvBX1XCFWw4vIHRq0YTczaG\nZwKe4d3O71K+ZHmzyxIXYhgGae5ptz4ZBbCAUcQoFCvBiLgyLy8vJk+azGQm56u/x2JFilHNuxrV\nvKvd9n6GYeA7y5d4SxYLD1jA7mbPV89d8ofH6j/Gl499yZPLnqR0sdL8t+t/Xf41ZhgGs3+azeiV\noyldrDTrhq7TbAApcEoWLcm8vvNoWaUlr655lehT0YT1C3Ppc5kbV6CcFDhJK1CKy1M4ZoKoqIzb\nli1x+YOO/O5owlFeXfMqi35dRBvfNuwYuYOAygVvNKLcO4vFgkc//1i7AAAgAElEQVS6BxhkOVrD\nI91Df7MiLqQg/j3qvUjMNLTJUBKTExm9ajRlipVhfIfxZpeUpbNXzzIyciTL9y3nySZPMrn75ALV\ntFzkzywWC2Naj6Fp5aYMXDyQZp83I3xAuMtNHban25mxawZvbnxTK1BKvqPxjCawWqFOHSirVkW5\nJsmexNvfv43/VH82HdvE132+ZtPwTQrG5LaCAoNwO3Trt0W3g24Edw3O44pEpDDSe5GY6cWHXuSt\nh99iwoYJTN021exybmlp7FIaftKQLce3sHTgUmb1nqVgTAqFh2s+TPTIaKp4VaHdzHZ8sfMLs0sC\nMkZxLo1dSqNPG/HcN8/xiN8jxL0Yx3+6/kfBmOQbGjlmAqsVHnrI7CoKJsMwWBK7hJdXv8xJ20le\nbv0yr7d/HS9P1+1DI65j4hsTWd9tPbHGrZt9v/vJu2aXKCKFgN6LxGxvdHiDS0mXeGHlC5QuVppB\njQeZXRJA5qi2r376isfqPcbnQZ9ToWQFs8sSyVPVvKvx/bDv+euqv/JM5DNsi9/Gxz0+Nm2l2RtX\noFzYb6FWoJR8SeFYHktOht27YehQsyspeGLOxjB61WjWH15Pr7q9WDNkDXXK3mrZQZFb8/LyYuvq\nrRnNviNvaPb9iWs3+xaRgkPvRWI2i8XCB498QEJKAk8uexJvT2+C6gWZWtO6Q+sYvnw4iSmJzHps\nFkObDNX0Yim0PIt48lmvz2hZtSXPffMcP535icX9F+fpCsb7zu9j3LpxLN27lAcrPcjqwau1AqXk\na1qtMo9t3Qpt2sD27dC8udnVFAyXki7x5sY3mbp9KrXL1Ob/uv8fj9Z51OyypABQw2sRcQV6LxKz\npDnSGLh4IN/EfcOqwat4uObDeV7DNfs1xq0dx5RtU+hcqzMzH5tJdZ/qeV6HiKvacXIHIQtDSLIn\nEdYvjE61OuXq/rQCpZglt1er1Cs4j1mt4OkJjRubXUn+l+5IZ3r0dOr+ry5f7v6S97q8x57n9igY\nE6fRyaiIuAK9F4lZirgVYV7febSv0Z6g+UFsj9+ep/vfFr+NgGkBfL7zcyZ3n8yaIWsUjIncoHmV\n5kSPjKZxxcZ0ndOVD7Z8QG4MgLmSeoU3N76J3xQ/wmLCmBQ4ib0v7GVQ40EKxqRA0Ks4j0VFQUAA\nFC1qdiX525bjW2j5RUtGrhjJo3UeJe6FOF5t+ypF3fWLFREREXEWzyKeLB24lEYVGtF9bnd+Pfdr\nru/Tnm7nHxv+QZsZbfDy9GLXqF2Mfmi0TsBFslCuRDlWDV7FK21e4ZU1rxAaHsqV1CtOeWx7up3P\ndnyG3xQ//r3p3zzX4jkOjj7Iy21epliRYk7Zh4gr0CdMHrNaoVUrs6vIv07aTjJk6RDaftkWCxa2\njNjC7N6zqexV2ezSRERERAqkUkVL8c0T31DVqypd53Tl8KXDubavmLMxtJrRivc2vcc/Ov6DLSO2\nUL9c/Vzbn0hBUcStCP8O/DeL+y/m2/3f0uqLVsRdiMvx42kFSilsFI7loTNn4MgRrVSZEylpKUza\nNIm6H9fluwPf8UXQF2x7ZhutfVubXZqIiIhIgXdf8ftYPWQ1xYsUp+ucrpyynXLq46c70vlgywc0\n+7wZSfYktj61lX90/Ace7h5O3Y9IQRfSIIRtT28jzZFGi+ktiNgXke3H2HJ8C+1mtqPvwr7UKl2L\nXaN2Mbv3bE1rlgJN4VgeslozbhWOZc83cd/Q6NNGjF8/nmcCniHuxTieCnhKQ+tFRERE8lClUpVY\nO3QtSWlJPPL1I1xMuuiUxz2ScITOX3Xm1TWv8lyL54geGU3zKlq5SiSn/Mv7s+2ZbXSu1ZnHFjzG\nG+vfIN2Rft19btWXbN/5ffQN60vbL9tyzX6N1YNXs2rwKppUapJXpYuYRulCHrJaoWJFqFHD7Ery\nh7gLcfSc15Ne83tRw6cGPz/7Mx91/4jSxUqbXZqIiIhIoVSzdE3WDFnDSdtJes7reU99jQzDYMbO\nGTzw6QMcTTjK+ifX8+EjH1Lco7gTKxYpnLw9vQkfEM6/Ov+LiT9OpNf8Xhw9e5TRY0dTK6AWvi19\nqRVQi9FjR3Pg1AGeXfEsDT9pyM5TO/m6z9dEj4ym6/1dzX4aInnGkhsrWdwri8USAERHR0cTEBBg\ndjlOExgIJUvC8uVmV+LabCk23v3hXT6K+oiq3lX5sNuH9K7fW6t1iYiIiLiI7fHb6fxVZ1pXa03k\n45F4FvHM1vanr5zmmchnWBG3ghEPjuCj7h/h7emdS9WKFG6rD64mdF4oV+ZcIf2hdBz3O8ACGGA5\naIGt4DPUhwmBE3i+5fNqtC8uaefOnTRr1gygmWEYO539+Bo5lkfS02HbNk2pvB2H4WDOT3Oo+7+6\nfLztY97o8Aa/Pvcrffz7KBgTERERcSEtqrYg8vFIfjj6A08seYI0R9pdbxv+aziNPmnEtvhtLA9d\nzozHZigYE8lF3e7vxmPnH8Pe0o7D77dgDMAChp8BrWFg4kCtQCmFmsKxPLJ3L9hsWqkyKztO7qDd\nl+0YumwoHWp0YO8Le3mj4xsaVi8iIiLioh6u+TCL+i9i+d7ljIwcicNwZP7sVrNTEpITGLJ0CP0W\n9aNjzY7seXYPwfWC87JkkUJr448bwe/WPzPuN/hu43d5Wo+IqylidgGFhdUKFgs0V2/R65y9epbx\n68YzY9cMGlVoxIYnN/BwzYfNLktERERE7kJQvSBm9Z7FkKVDKJ5eHPcodyLXRmJ3t+OR7kFQYBAT\n35hI1Nkohi8fzpXUK8zpM4dBDwzSzACRPGIYBnZ3+x8jxm5kAbubHcMw9HcphZbCsTwSFQUNGoB3\nIR0xfuMbrT3dzifbP+GfG/+Jm8WNj3t8zKjmoyjippekiIiISH4yuPFgzlw4wytPv4KltQUj2Mjs\nZzT10FTmtp7LxeCLdKnfhZmPzcTXx9fskkUKFYvFgke6BxjcOiAzwCPdQ8GYFGpKIvKI1Vr4plTa\nbDbGvzP+pquHgYMDGbdpHLHnYhnVbBTvdH6HciXKmV2uiIiIiOTQ0ZVHsbSxZPQv+p0FHPc7uOi4\nSMeTHVk9cTVuFnV1ETFDUGAQUw9NzWjGfwO3g24Ed9UUZyncFI7lgStXYM8eeOEFsyvJOzabjdbd\nWhPrF4sj+I/VUD4+8DEf9/mYVi+3InpkNE0rNzW7VBERERG5R5FrIzNGjN2KHxyNPKpgTMREE9+Y\nyPpu64k1Yq9brdLtoBv+B/x595N3zS5RxFT6hMoDO3aAw1G4Vqoc/874jGDshtVQqANubdxoebSl\ngjERERGRAiA7/YxExBxeXl5sXb2VF6q8QM3ImlRdUZWakTV5ocoLbF29FS8vL7NLFDGVRo7lAasV\nSpaEhg3NriTvRK6NzBgxdguO+x1EREYwmcl5XJWIiIiIOJv6GYnkD15eXkyeNJnJTFbzfZEbaORY\nHrBaoUULcHc3u5K8oauHIiIiIoVLUGAQbodufWqhfkYirkfBmMj1FI7lMsPIWKmyME2ptFgsYCfj\n6uGt6OqhiIiISIEy8Y2J+O/3x+2A2x/HgAa4Hfitn9EE9TMSERHXpXAsl504AadOFa6VKnef3s2F\nchfgwK1/rquHIiIiIgWL+hmJiEh+pp5jucxqzbgtLCPHok5E0WNuD+oH1yd5bjJxljithiIiIiJS\nCKifkYiI5FcaOZbLoqLA1xcqVza7kty34fAGAr8KpFGFRmwcuZFta7fp6qGIiIhIIaRgTERE8hON\nHMtlVmvhmFL5Tdw39FvUjw41OrBkwBJKFi0JxdDVQxERERERERFxaRo5lovsdoiOLvhTKhfFLKJ3\nWG+6+3UnIjQiIxi7gYIxEREREREREXFFCsdy0S+/QFJSwR45NnPXTELDQxnYcCAL+y3Es4in2SWJ\niIiIiIiIiNw1hWO5yGqFIkUgIMDsSnLH/7b9jxERI3gm4Bm+6vMVHu4eZpckIiIiIiIiIpItCsdy\nkdUKjRtD8eJmV+J87/34Hi+ufJGXW7/Mpz0/xc2il5KIiIiIiIiI5D9KNHJRVFTBm1JpGAavr3ud\n19e/zpsd3+S/Xf+rfmIiIiIiIiIikm8pHMslly7Bvn0Fqxm/w3Dw11V/5b1N7/F+1/f558P/VDAm\nIiIiIiIiIvlaEbMLKKi2b8+4LSjhWLojnacjn2b27tlM6zWNkc1Gml2SiIiIiIiIiMg9UziWS6Ki\noEwZqFPH7EruXWp6KoOXDGZJ7BLm9JnDoMaDzC5JRERERERERMQpFI7lEqsVWrYEt3w+cTXJnkT/\nRf1Zc2gNiwcspnf93maXJCIiIiIiIiLiNPk8unFNhpERjuX3KZW2FBs95/Vk/eH1RD4eqWBMRERE\nRERERAocjRzLBQcPwoUL+XulyktJl3h03qP8eu5XVg9ZTbvq7cwuSURERERERETE6RSO5QKrNeO2\nZUtz68ips1fP0m1ON45fPs76oetpVqWZ2SWJiIiIiIiIiOQKhWO5wGoFPz8oW9bsSrLvxOUTBH4V\nSGJKIt8P+55GFRqZXZKIiIiIiIiISK5ROJYLoqLy55TKQ5cO0eWrLjgMBz8O/xG/+/zMLklERERE\nREREJFepIb+TJSfD7t35rxl/7LlY2s9sj4ebh4IxERERERERESk0FI452e7dYLfnr3Bs16lddJjV\ngbLFy/LD8B+o7lPd7JJERERERERERPKEwjEni4oCT09o0sTsSu7OluNb6DS7E7VK12LjsI1UKlXJ\n7JJERERERERERPKMwjEns1ohIACKFjW7kjtbd2gdXed0pUmlJqwdupb7it9ndkkiIiIiIiIiInlK\n4ZiTWa35Y0pl5L5Ies7rSYcaHVg5aCXent5mlyQiIiIiIiIikucUjjnR2bNw+LDrr1S5YM8C+i7s\nS8+6PVk2cBklPEqYXZKIiIiIiIiIiCkUjjmR1Zpx68ojx2bsnMET4U/weKPHCesXhmcRT7NLEhER\nERERERExjcIxJ7JaoUIFqFHD7EpubXLUZJ6OfJq/NP8Ls3rPoohbEbNLEhERERERERExlcIxJ4qK\nyphSabGYXcn1DMNg4g8Teem7lxjbZixTH52Km0X/60VERERERERElJA4icMB27e73pRKwzAYt24c\nEzZM4J1O7/DvwH9jcbX0TkRERERERETEJJpX5yR798Lly64VjjkMBy9++yKf7PiEjx75iJdavWR2\nSSIiIiIiIiIiLkXhmJNERWVMp2zRwuxKMqQ50ngq4inm/DSH6UHTeTrgabNLEhERERERERFxOQrH\nnMRqhQYNwNvb7EogNT2VJ8KfYPm+5cwLmUdoo1CzSxIRERERERERcUkKx5zEanWNKZXX7NcIWRjC\n+sPrCR8QTnC9YLNLEhERERERERFxWWrI7wRXrsAvv2SsVGkmW4qNR+c+yg9Hf+CbJ75RMCYiIiIi\nIiIicgcaOeYE0dEZq1WaOXLsYtJFesztwb7z+1gzZA1tfNuYV4yIiIiIiIiISD6hcMwJrFYoWRIa\nNjRn/2eunKHrnK6ctJ1k/ZPrCagcYE4hIiIiIiIiIiL5jMIxJ4iKylil0t097/d9PPE4gXMCsaXY\n+GH4DzQo3yDvixARERERERERyafUc8wJzGrGf+DiAdrPbE9qeiqbRmxSMCYiIiIiIiIikk0Kx+7R\niRNw8mTeh2MxZ2NoP7M9xYoU48fhP1K7TO28LUBEREREREREpABQOHaPoqIybvMyHIs+GU3HWR2p\nWLIiPwz/gWre1fJu5yIiIiIiIiIiBYjCsXtktYKvL1Spkjf723RsE52/6ozffX5seHIDFUpWyJsd\ni4iIiIiIiIgUQArH7lFe9htbc3AN3eZ0I6ByAGuGrKFM8TJ5s2MRERERERERkQJK4dg9sNthxw5o\n1Sr397V873J6ze9Fp1qd+PaJb/Hy9Mr9nYqIiIiIiIiIFHAKx+7Bnj2QlJT7I8fm/TKPkIUhPFbv\nMZYOXEpxj+K5u0MRERERERERkUJC4dg9sFrB3R0CAnJvH9OjpzN4yWCGNBnCvJB5FHUvmns7ExER\nEREREREpZBSO3YOoKGjSBEqUyJ3H/3Drh4xcMZLnWzzPjOAZFHErkjs7EhEREREREREppBSO3YPc\nasZvGAZvf/82L69+mXHtxjGlxxTcLPpfJSIiIiIiIiLibEpccighAfbudX44ZhgGY9eM5Z8b/8m/\nOv+Lf3X5FxaLxbk7ERERERERERERIIfhmMVied5isRy2WCxJFoslymKxtLjNfdtaLJZNFovlvMVi\nuWaxWGItFstLOS/ZNWzblnHrzJUqHYaDZ795lve3vs+U7lMY136c8x5cRERERERERERuku0mVhaL\nZSDwATAS2AaMAb6zWCx1DcM4f4tNrgIfAz//9nU74HOLxXLFMIwvcly5yaxWKF0a6tS5t8cxDAOL\nxUKaI43hy4cz75d5zAiewYimI5xTqIiIiIiIiIiIZCknHd7HANMMw/gKwGKx/AXoCYwA/nPjnQ3D\n2A3s/tO35lkslhCgPZCvw7GWLcEtB2PvbDYb498ZT+TaSOzudoqkF8G9hjtHGx5l/uPzGdBwgPML\nFhERERERERGRm2QrHLNYLB5AM+Bfv3/PMAzDYrGsBVrf5WM0/e2+47Ozb1diGBkrVT7/fPa3tdls\ntO7Wmli/WBzBDrAABnAAqn9bnR6v9XB2uSIiIiIiIiIikoXsjnsqB7gDZ274/hmg0u02tFgsxy0W\nSzIZUzGnGoYxM5v7dhmHDsGFCzlrxj/+nfEZwZjfb8EYZNzWgRMNTzDh3QnOLFVERERERERERG4j\nJ9Mqc6odUApoBUyyWCwHDMMIu90GY8aMwcfH57rvPf744zz++OO5V+VdsFozblu2zP62kWsjM0aM\n3YLjfgcRkRFMZvI9VCciIiIiIiIikj/Nnz+f+fPnX/e9xMTEXN1ndsOx80A6UPGG71cETt9uQ8Mw\njv72ZYzFYqkEvAncNhz76KOPCAgIyGaJuS8qCvz8oFy57G1nGAZ2d/sfI8ZuZAG7mz2zSb+IiIiI\niIiISGFyq0FRO3fupFmzZrm2z2xNqzQMww5EA11+/54lI8XpAmzJxkO5A57Z2bcrsVpzNqXSYrHg\nke6R0WPsVgzwSPdQMCYiIiIiIiIikkdysNYiHwLPWCyWoRaLpT7wGVACmAVgsVjes1gss3+/s8Vi\nec5isfSyWCx+v/17CngZmHPv5ee9lBTYvTtn4RhAUGAQbodu/Wt3O+hGcNfge6hORERERERERESy\nI9s9xwzDWGixWMoBb5MxnXI38IhhGOd+u0slwPdPm7gB7wE1gTTgIPCqYRif30Pdptm1C1JToVWr\nnG0/8Y2JfNv5Ww46DoIfmatVuh10w/+AP+9+8q4zyxURERERERERkdvIUUN+wzA+AT7J4mfDb/jv\n/wH/y8l+XJHVCp6e0KRJzrb38vKizz/7MOWjKVSOrUyaWxoeDg+CA4N595N38fLycm7BIiIiIiIi\nIiKSpbxcrbJAsFqhaVMoWjRn2xuGwbLDyxg8ejAzHpuh5vsiIiIiIiIiIibKSc+xQi0qKudTKgF2\nnd7FgYsHGNhoIICCMREREREREREREykcy4Zz5+Dw4Zw34wdYGLOQciXK0blWZ+cVJiIiIiIiIiIi\nOaJwLBus1ozbnIZjhmEQFhNGiH8IRdw0o1VERERERERExGwKx7IhKgoqVICaNXO2/faT2zmScIQB\nDQc4tS4REREREREREckZhWPZYLVmjBrLaZuwsD1hVCxZkY41Ojq3MBERERERERERyRGFY3fJ4YBt\n23I+pdJhOFj460L6NeiHu5u7c4sTEREREREREZEcUTh2l/buhcuXc75SZdSJKE5cPsHAhgOdW5iI\niIiIiIiIiOSYwrG7ZLVmTKds0SJn24ftCaOKVxXaVm/r3MJERERERERERCTHFI7dJasVGjQAb+/s\nb5vuSGfRr4vo36A/bhb9ykVEREREREREXIWSmrsUFZXzfmObjm3i1JVTmlIpIiIiIiIiIuJiFI7d\nhatX4Zdfch6OhcWEUd2nOq2q5bBhmYiIiIiIiIiI5AqFY3chOjpjtcqcNONPc6QRHhvOgAYDsFgs\nzi9ORERERERERERyTOHYXYiKgpIloWHD7G/7/ZHvOXv1LAMaDnB+YSIiIiIiIiIick8Ujt0FqxWa\nNwd39+xvGxYTRu0ytWlepbnzCxMRERERERERkXuicOwuWK05m1JpT7drSqWIiIiIiIiIiAtTOHYH\nJ05AfHzOmvGvO7yOi0kXGdhIq1SKiIiIiIiIiLgihWN3YLVm3OYkHFsYs5C6ZevSpGIT5xYlIiIi\nIiIiIiJOoXDsDqxW8PWFKlWyt11qeipL9y7VlEoRERERERERERemcOwOoqJyNmps9cHVJCQnaEql\niIiIiIiIiIgLUzh2G2lpEB2ds3AsLCaMBuUb0KhCI+cXJiIiIiIiIiIiTqFw7Db27IFr17K/UmVy\nWjLL9y5nYEONGhMRERERERERcWUKx24jKgrc3SEgIHvbrTqwCluqjQENB+ROYSIiIiIiIiIi4hQK\nx27DaoXGjaFEiextFxYTRuOKjalfrn7uFCYiIiIiIiIiIk6hcOw2rNbsT6m8Zr9G5L5ITakUERER\nEREREckHFI5lISEBYmOz34z/m7hvuGq/qnBMRERERERERCQfUDiWhe3bM26zG46FxYTRrHIz7r/v\nfucXJSIiIiIiIiIiTqVwLAtWK5QuDXXr3v02V1Kv8M3+b9SIX0REREREREQkn1A4loWoKGjZEtyy\n8RuK3BdJclqywjERERERERERkXxC4dgtGEbGyLGcTKl8qOpD1CxdM1fqEhERERERERER51I4dguH\nD8P589lbqTIxOZGVB1aqEb+IiIiIiIiISD6icOwWoqIyblu2vPttIvZFkJqeSv+G/XOnKBERERER\nERERcTqFY7dgtcL990O5cne/TVhMGG1921LNu1ruFSYiIiIiIiIiIk6lcOwWrNbsTam8lHSJ1QdX\na0qliIiIiIiIiEg+o3DsBikpsGtX9prxL927lDRHGv0a9Mu9wkRERERERERExOkUjt1g925ITc1e\nOBYWE0bHmh2p7FU59woTEREREfn/9u49yq6qQBf9NysvUhBeJvKSRwCBEBRIhEgjiIoGBQLNI1Eu\n46r0OF5vi5yD5xzPuC19QMTbtq0g2KDcMXwOu0kVAdqAQmihtVFSBRIRKMIrEFCeCUgIBEKSWveP\nqkAS8iyqau/a+/cbI6Nqr732XF/Vhj1Wvsy5FgDQ75Rj6+jsTEaNSg45ZPP2X7xscW559BZLKgEA\nAACGIOXYOjo6kkMPTUaO3Lz9r51/bapUOWXCKQMbDAAAAIB+pxxbR2fnli+p/PD4D+edW79z4EIB\nAAAAMCCUY2tYtCh59NHNv1Plsy8/m18v/LUllQAAAABDlHJsDZ2dPV83d+bYrPtnpaW0WFIJAAAA\nMEQpx9bQ2ZmMG5fstdfm7d9+f3s+uvdHs+PoHQc0FwAAAAADQzm2hs7OniWVpWx636eWPpXbHr8t\n0ydOH/hgAAAAAAwI5Viv7u4tuxj/1V1XZ8SwETn5gJMHNhgAAAAAA0Y51uvBB5OXXtr8cqytqy1T\n95ma7bfafmCDAQAAADBglGO9Ojt7llMedtim931iyROZ++e57lIJAAAAMMQpx3p1dCQTJiTbbbfp\nfa/uujqjho3KifufOPDBAAAAABgwyrFeW3K9sbautnzi3Z/ItqO2HdhQAAAAAAwo5ViSV15J7r23\n506Vm/LoXx7NnU/daUklAAAAQANQjiW5665k1arNmznW3tWe1hGtOWG/EwY+GAAAAAADSjmWniWV\nra3JxImb3retqy0n7HdCth659cAHAwAAAGBAKcfSU44ddlgyfPjG93vo+Ydy9zN3Z/qB0wcnGAAA\nAAADSjmWnjtVbu6Sym1GbpNPvPsTAx8KAAAAgAHX9OXYk0/2/Nmccqytqy3T9p+W0SNGD3wwAAAA\nAAZc05djnZ09Xzd1p8r7F92f+567z10qAQAAABpI05djHR3Ju96V7Lrrxvdru68t247aNlP3mTo4\nwQAAAAAYcE1fjnV2bnpJZVVVab+/PScfcHJGDR81OMEAAAAAGHBNXY6tXJn8/vebXlJ573P35oHF\nD1hSCQAAANBgmrocu+++ZNmyTc8ca7uvLTtstUOO3fvYwQkGAAAAwKBo6nKsszMZNiyZPHnD+1RV\nlbautpwy4ZSMHDZy8MIBAAAAMOCavhx773uT1tYN7zPv6XlZ8JcFmT5x+uAFAwAAAGBQNHU51tGx\n6SWV7V3tGds6Nh8e/+HBCQUAAADAoGnacmzJkuSBBzZejq2+S+WpE07N8JbhgxcOAAAAgEHRtOXY\nnXcmVbXxO1Xe8eQdWfjiQnepBAAAAGhQTVuOdXQk222X7Lffhvdp62rLTlvvlKP3PHrwggEAAAAw\naJq2HOvsTA4/PGnZwG+gu+pOe1d7TjvwtAxrGTa44QAAAAAYFE1ZjlVVTzm2sSWVc/80N08ufdKS\nSgAAAIAG1pTl2GOPJYsWbfxi/G1dbdltzG45co8jBy8YAAAAAIOqKcuxzs6er4cfvv7nV3WvytX3\nX53TDzw9LaUpf0UAAAAATaEpm5/OzmSffZJx49b//G1P3JZnXn4mMw6ypBIAAACgkTVlOdbRsfEl\nle1d7dljuz0yZbeN7AQAAADAkNd05djy5ckf/rDhi/Gv7F6ZWffPyvQDp6eUMrjhAAAAABhUTVeO\n/fGPyeuvb3jm2K8X/jqLli2ypBIAAACgCTRdOdbRkYwcmRx88Pqfb7uvLXvvsHcm7zJ5cIMBAAAA\nMOiarhzr7EwmTUpGjXrrcytWrci1D1ybGRNnWFIJAAAA0ASashzb0JLKWx67JS+8+kKmT5w+uKEA\nAAAAqImmKscWLUoWLNhwOdbW1Zb93rFfDt5pA2suAQAAALIYelMAAB//SURBVGgoTVWO3XFHz9f1\n3aly+crluW7+dZZUAgAAADSRpirHOjuTceOSvfZ663M3L7g5S5YvyYyJ7lIJAAAA0Cyaqhzr6OhZ\nUrm+iWFtXW05cNyBmfjOiYMfDAAAAICaaJpyrLu7Z1nl+pZUvrri1fz8wZ+bNQYAAADQZJqmHHvo\noWTJkvVfjP+mR27Ky6+/rBwDAAAAaDJNU451dPQspzzssLc+19bVloN3Ojj7j91/8IMBAAAAUDNN\nU451diYTJiTbbbf29ldefyXXP3S9WWMAAAAATaipyrH1Lan8xcO/yLIVyzJ94vTBDwUAAABATTVF\nObZsWXLPPesvx9q72jN5l8nZZ8d9Bj8YAAAAADXVFOXYXXclq1a99U6VS5cvzS8e/oUllQAAAABN\nqinKsc7OpLU1mThx7e3XP3R9Xlv5miWVAAAAAE2qKcqxjo7kfe9Lhg9fe3tbV1ve/673Z8/t96xN\nMAAAAABqqinKsc7Oty6pfPG1F3PTIzdl+oFmjQEAAAA0q4Yvx558Mvnzn996Mf7ZD87O66tez+kT\nT69NMAAAAABqruHLsc7Onq/rlmNtXW35wB4fyLu2fdfghwIAAACgLjRFOfaudyW77fbmthdefSE3\nL7jZXSoBAAAAmlxTlGPrzhq7bv51WdW9KqcdeFptQgEAAABQFxq6HFu5MrnzzvUvqfzgXh/Mztvs\nXJtgAAAAANSFhi7HurqSZcvWvlPlolcW5dbHbrWkEgAAAIDGLsc6O5Nhw5LJk9/cdu38a5Mkp044\ntUapAAAAAKgXDV2OdXQk73lP0tr65ra2rrZ8ePyHM27rcbULBgAAAEBdaOhyrLNz7SWVz7z8TH7z\n+G8yfeL02oUCAAAAoG40bDm2ZEkyf/7aF+Ofdf+stJSWnDLhlNoFAwAAAKBuNGw5duedSVWtXY61\nd7Xno3t/NDuO3rF2wQAAAACoGw1bjnV2Jtttl+y/f8/jJ196Mr994rfuUgkAAADAGxq6HDv88KSl\n9ye8+v6rM2LYiJx0wEm1DQYAAABA3WjIcqyqeu5UueaSyrautkzdZ2q232r72gUDAAAAoK40ZDm2\ncGGyaNGbd6p8/MXH0/HnDksqAQAAAFhLQ5ZjnZ09Xw8/vOfr1fdfna2Gb5Vp+0+rXSgAAAAA6k6f\nyrFSyhdKKY+VUl4tpXSUUg7byL5/XUq5uZTyXCllSSnl9lLKx/oeedM6OpK9907Gjet53NbVlk+8\n+xMZM2rMQB4WAAAAgCFmi8uxUsqMJN9Ocn6SQ5P8McmcUsrYDbzk6CQ3J/l4kklJ/iPJ9aWUg/uU\neDN0dr65pHLBCwvy+6d+b0klAAAAAG/Rl5lj5ya5sqqqn1ZV9UCSzydZluSs9e1cVdW5VVV9q6qq\nu6qqWlBV1VeSPJzkxD6n3ojly5M//OHNi/G3d7WndURrjn/38QNxOAAAAACGsC0qx0opI5JMTnLL\n6m1VVVVJfpXkiM0coyQZk+SFLTn25vrjH3sKsjfKsfvbc8J+J2TrkVsPxOEAAAAAGMK2dObY2CTD\nkjy7zvZnk+y8mWP8zyRbJ2nfwmNvls7OZOTI5JBDkoeefyh3P3O3JZUAAAAArNfwwTxYKeWMJH+f\nZFpVVYs3tf+5556b7bbbbq1tn/rUp/KpT31qg6/p7EwOPTQZNSpp62jLNiO3ycf3/fjbjQ4AAADA\nALvqqqty1VVXrbVtyZIlA3rMLS3HFidZlWSndbbvlOSZjb2wlPLJJP9fktOqqvqPzTnYJZdckkmT\nJm1RwI6O5Pjey4u1dbXlpP1PyugRo7doDAAAAAAG3/omRc2bNy+TJ08esGNu0bLKqqpWJLkryUdW\nb+u9hthHkty+odeVUj6V5AdJPllV1U19i7ppixcnCxb03Kmy67mudC3qyvSJ0wfqcAAAAAAMcX1Z\nVnlxkh+XUu5Kckd67l7ZmuTHSVJK+Ycku1ZV9enex2f0PndOkjtLKatnnb1aVdVLbyv9Ou64o+fr\nlCnJT7ras92o7TJ1n6n9eQgAAAAAGsiWXpA/VVW1J/kfSS5M8ock700ytaqqRb277Jxk9zVe8l/S\ncxH/y5M8tcaf7/Q99vp1dCRjxyZ77VWlrastJx9wckYNH9XfhwEAAACgQfTpgvxVVV2R5IoNPPfZ\ndR5/qC/H6IvOzp4llfc+d08efP7BXDL1ksE6NAAAAABD0BbPHKtX3d09yyqnTOm5EP8OW+2Qj+z9\nkU2/EAAAAICm1TDl2EMPJS++mBx+eM+SylMmnJKRw0bWOhYAAAAAdaxhyrHOzqSUZNRe8/LoXx7N\njIkzah0JAAAAgDrXUOXYAQckv3i8LeNax+VD4wftUmcAAAAADFENU451dCSHT6nS3tWeUyecmuEt\nfbrXAAAAAABNpCHKsWXLknvuSXaa1JnHlzye6ROn1zoSAAAAAENAQ0yvmjcvWbUqeXL7tuz8+s45\nes+jax0JAAAAgCGgIWaOdXQko1u78+tFV+e0CadlWMuwWkcCAAAAYAhoiHKsszPZ7yO358mlT2bG\nQe5SCQAAAMDmaZhyrOW9bdltzG75q93/qtZxAAAAABgihvw1x556KvnTn1dl6ehZ+cyBn0xLaYi+\nDwAAAIBBMOSbpM7OJHv+Z15c+YwllQAAAABskSE/c6yzM9n68PaM3W7PTNltSq3jAAAAADCEDPmZ\nY3M7V2blftdk+sTpKaXUOg4AAAAAQ8iQLsdWrUrueO4/snz4osyYaEklAAAAAFtmSJdjXV3Ja/u2\nZdet9s6kXSbVOg4AAAAAQ8yQLsd+O/f1ZMK1OePgGZZUAgAAALDFhnQ59m/33JKM/kvOPMSSSgAA\nAAC23JAux+5c1pbtV+6f9+703lpHAQAAAGAIGrLl2KIXlufFnf8tR7/DXSoBAAAA6JshW459/1dz\nkq2W5G/eb0klAAAAAH0zZMuxax5oS8viiTnh8Im1jgIAAADAEDUky7FXV7ya+1bOzvhXZqRlSP4E\nAAAAANSDIVkt/fLhG7Nq2Mv52G7Tax0FAAAAgCFsSJZjP7qzLXnm4Hxiyv61jgIAAADAEDbkyrFX\nXn8lv3r8huS+GZkypdZpAAAAABjKhlw59ouHf5Hl1bLs/tKMjBtX6zQAAAAADGVDrhxr62rL1kve\nlw9M3LvWUQAAAAAY4oZUObZ0+dL88uFf5rXfz8j731/rNAAAAAAMdUOqHJv94Oy8tvK1rLrndNcb\nAwAAAOBtG1LlWFtXW/Ya/v6MfHXPHHJIrdMAAAAAMNQNmXLsxddezJwFc/KOp2fk0EOTUaNqnQgA\nAACAoW7IlGM/f+DnWbFqRZ7/T0sqAQAAAOgfQ6Yca+tqy5RdP5CF9+6mHAMAAACgXwyJcuz5Zc/n\n3x/99xwyfHqSuFMlAAAAAP1iSJRj1z1wXbqr7rQuPC1jxybjx9c6EQAAAACNYEiUY+1d7fngnh9M\nV+fOmTIlKaXWiQAAAABoBHVfji16ZVFufezWnH7gjHR2WlIJAAAAQP+p+3LsmvnXJEkOGXlKXnwx\nLsYPAAAAQL+p+3KsrastHx7/4Tz8x3FJksMOq3EgAAAAABpGXZdji15ZlN8s/E1mTJyRjo5kwoRk\n++1rnQoAAACARlHX5ditj92aYS3D8tcT/jqdnZZUAgAAANC/6rocu/nRm/OxfT6Wraodc889yjEA\nAAAA+lddl2N3P313ph84PfPmJStXulMlAAAAAP2rrsux4cOG5+QDTk5nZ9Lamhx0UK0TAQAAANBI\nhtc6wMYM+8Ww/P02f58/Pfz1TJ48JsPrOi0AAAAAQ01dzxxbftzyXP7M5bnhN0dk0qSltY4DAAAA\nQIOp63IsSbr36c7K4+bn4T+dV+soAAAAADSYui/HkiT7defeBbNrnQIAAACABjM0yrGSdI9Ykaqq\nap0EAAAAgAYyNMqxKhmxakRKKbVOAgAAAEADGRLlWHmkJdM+Oq3WMQAAAABoMMNrHWCTHmzJnl0T\nctH3Lqp1EgAAAAAaTF2XY9vduEuWLD49cx+9KGPGjKl1HAAAAAAaTF2XY8dMuiELF07KzjvXOgkA\nAAAAjaiurzl2773J+99f6xQAAAAANKq6LscefTSZMqXWKQAAAABoVHVdjiXKMQAAAAAGTl2XY1tv\nnRxwQK1TAAAAANCo6rocmzgxaanrhAAAAAAMZXVdPR10UK0TAAAAANDI6roce897ap0AAAAAgEZW\n1+XYN77x+ZxzzvlZunRpraMAAAAA0IDquhx79tnv5fLLj8gRR5yqIAMAAACg39V1OZaUdHcfl/nz\nz81553271mEAAAAAaDB1Xo716O4+LrNn/67WMQAAAABoMEOiHEtKVqxoTVVVtQ4CAAAAQAMZIuVY\nlREjXkkppdZBAAAAAGggQ6Ica2m5KdOmfaDWMQAAAABoMMNrHWDjqrS03JgJEy7JRRddU+swAAAA\nADSYup45tssuf5uzz+7M3LnXZMyYMbWOAwAAAECDqeuZYzfc8L1MmjSp1jEAAACgT5544oksXry4\n1jGg7o0dOzZ77LFHTY5d1+UYAAAADFVPPPFEJkyYkGXLltU6CtS91tbWzJ8/vyYFmXIMAAAABsDi\nxYuzbNmy/OxnP8uECRNqHQfq1vz583PmmWdm8eLFyjEAAABoNBMmTHDJIKhjdX1BfgAAAAAYSMox\nAAAAAJqWcgwAAACApqUcAwAAAKBpKccAAACAurHXXnvlrLPOqnUM+sGPf/zjtLS05Iknnqh1lI1S\njgEAAABbZO7cufnqV7+al156qd/HbmlpSSml38dl8JVShsR7ObzWAQAAAICh5fbbb8+FF16Yz372\ns9l22237dewHH3wwLS3m8jB4/NcGAAAAdaCqqiEz/uaOVVVVli9fvkVjjxgxIsOGDetLrLo1kO/t\nQP930wyUYwAAAFAjS5cuzTnnnJ/x44/N7rufnPHjj80555yfpUuX1u34X/3qV/PlL385Sc/1wVpa\nWjJs2LA8/vjjaWlpyTnnnJN//dd/zUEHHZStttoqc+bMSZJ861vfypFHHpmxY8emtbU173vf+3LN\nNde8Zfx1rzn2k5/8JC0tLbn99tvzpS99Ke985zuzzTbb5JRTTsnzzz/f559joC1dujTnfPmcjJ80\nPrsfvnvGTxqfc758Tr+8twM19jXXXJOWlpbcdtttb3nuyiuvTEtLS+6///7ce++9+cxnPpN99tkn\no0ePzi677JK/+Zu/yQsvvPC2jl8rllUCAABADSxdujRHHHFq5s//Urq7L0hSklS5/PI5ufXWUzN3\n7jUZM2ZM3Y1/6qmn5qGHHsrMmTNz6aWX5h3veEdKKRk3blyS5JZbbkl7e3vOPvvsjB07NnvttVeS\n5LLLLstJJ52UM888M6+//npmzpyZ6dOn54YbbsjHP/7xN8bf0DWqvvjFL2bHHXfMBRdckIULF+aS\nSy7J2WefnauuumqLf4aBtnTp0hzxsSMyf9/56Z7WvfpXn8sfvTy3fuzWzL15bp/f24Ec+/jjj882\n22yT9vb2HHXUUWs9197enve85z058MADc/HFF2fhwoU566yzsvPOO6erqytXXnll7r///sydO7dP\nx64l5RgAAADUwFe+8q3e4uq4NbaWdHcfl/nzq5x33rdz6aUX1N34Bx10UCZNmpSZM2fmpJNOyh57\n7LHW8w899FDuu+++7L///mttf/jhhzNq1Kg3Hp999tk59NBDc/HFF69Vjm3IuHHjctNNN73xeNWq\nVfnud7+bpUuXvq0ScSB85Wtf6Smv9u1+c2NJuvfpzvxqfs676Lxc+o+X1t3YW221VU488cTMmjUr\nl1122RtF5bPPPpvf/OY3ufDCC5MkX/jCF/KlL31prddOmTIlZ5xxRn73u9/lyCOP7NPxa0U5BgAA\nADVw/fW/653R9Vbd3cdl1qyL8+lP9338WbM2Pv7s2Rfn0r51KBt1zDHHvKUYS7JWMfbiiy9m5cqV\nOeqoozJz5sxNjllKyec+97m1th111FH5zne+k8cffzwHHXTQ2w/ej67/1fU9s7rWo3uf7sz6t1n5\n9H/r25s7a86sdP/1hseeff3sXJq+v7EzZszIzJkz8+tf/zof+tCHkiRXX311qqrK9OnTk6z9Xi5f\nvjwvv/xypkyZkqqqMm/ePOUYAAAAsHFVVWXFiq3TsyZufUqeeqo1kydXG9lno0dIsvHxV6xoTVVV\nG1zG2Ferl1Gu64YbbsjXv/713H333WtdpH9z70y5++67r/V4hx12SJL85S9/6VvQAVJVVVYMW7Gx\nX32eeu2pTL5y8pa/tVWS5dno2CtaVryt9/W4447Ltttum7a2tjfKsfb29hxyyCHZd999k/T8zi+4\n4IK0tbXlueeee/PwpWTJkiV9Om4tKccAAABgkJVSMmLEK+lpO9ZXYlTZZZdXcsMNfS2uSk444ZU8\n/fSGxx8x4pV+L8aSZPTo0W/Zdtttt+Wkk07KMccck+9973vZZZddMmLEiPzwhz/c7GuGbegOlvV2\nt8ZSSkasGrGxtza7jNolN/xfN/Rp/BOuOyFPV09vcOwRq0a8rfd15MiROfnkk3PdddfliiuuyNNP\nP53f/e53+cY3vvHGPqeffno6Ojry5S9/OQcffHC22WabdHd3Z+rUqenuXv+stnqmHAMAAIAaOPHE\nI3P55XPWuSZYj5aWm3L66R/IpEl9H/+00zY+/rRpH+jz2Ftavlx77bUZPXp05syZk+HD36wifvCD\nH/Q5Qz078dgTc/mjl6d7n7cWRS0LWnL6cadn0i59e3NPm3raRsee9tFpfRp3TTNmzMhPf/rT3HLL\nLenq6kqSN5ZUvvjii7n11lvzta99LV/5ylfeeM0jjzzyto9bK5s3dxEAAADoV1//+v/IhAkXp6Xl\nxvRMM0qSKi0tN2bChEty0UX/vW7H33rrrZP0FCWbY9iwYSmlZOXKlW9sW7hwYX7+85/3OUM9+/rf\nfz0THp6Qlkda1vzVp+WRlkx4ZEIuOu+iuhx7tWOPPTY77LBDZs6cmfb29hx++OHZc889k7w5g2/d\nGWKXXHLJgMxEHAxmjgEAAEANjBkzJnPnXpPzzvt2Zs++OCtWtGbEiGWZNu3IXHTRNW/7DowDOf7k\nyZNTVVX+7u/+Lp/85CczYsSInHjiiRvc//jjj8/FF1+cqVOn5owzzsizzz6bK664Iu9+97tzzz33\nbPJ4G1o6WW9LKlcbM2ZM5t48N+dddF5mXz87K1pWZET3iEw7dlouuuKit/W7H8ixVxs+fHhOOeWU\nzJw5M8uWLcu3v/3ttY5/9NFH55vf/GZef/317Lbbbrn55puzcOHCun0/NkU5BgAAADUyZsyYXHrp\nBbn00gzIxfEHavz3ve99ueiii/L9738/c+bMSVVVWbBgQUop6z3Ghz70ofzwhz/MN77xjZx77rkZ\nP358vvnNb+axxx57Szm2vjE2lLueZyqNGTMml/7jpbk0l/b7ezuQY682Y8aM/OAHP0hLS0tOP/30\ntZ676qqr8sUvfjFXXHFFqqrK1KlTc+ONN2bXXXet6/dkQ0o9tnqllElJ7rrrrrsy6e0ssAYAAIAa\nmTdvXiZPnhx/t4WN29T/K6ufTzK5qqp5/X181xwDAAAAoGkpxwAAAABoWsoxAAAAAJqWcgwAAACA\npqUcAwAAAKBpKccAAAAAaFrKMQAAAACalnIMAAAAgKY1vNYBAAAAoJHNnz+/1hGgrtX6/xHlGAAA\nAAyAsWPHprW1NWeeeWato0Dda21tzdixY2tybOUYAAAADIA99tgj8+fPz+LFi2sdBere2LFjs8ce\ne9Tk2MoxAAAAGCB77LFHzf7CD2yePl2Qv5TyhVLKY6WUV0spHaWUwzay786llH8ppTxYSllVSrm4\n73EBBs9VV11V6wgAPouAuuCzCGhkW1yOlVJmJPl2kvOTHJrkj0nmlFI2tDB0VJLnknwtyd19zAkw\n6JwEAvXAZxFQD3wWAY2sLzPHzk1yZVVVP62q6oEkn0+yLMlZ69u5qqrHq6o6t6qqnyV5qe9RAQAA\nAKB/bVE5VkoZkWRykltWb6uqqkryqyRH9G80AAAAABhYWzpzbGySYUmeXWf7s0l27pdEAAAAADBI\n6vVulVslyfz582udA2hiS5Ysybx582odA2hyPouAeuCzCKilNfqhrQZi/C0txxYnWZVkp3W275Tk\nmX5J1GOvJDnzzDP7cUiALTd58uRaRwDwWQTUBZ9FQB3YK8nt/T3oFpVjVVWtKKXcleQjSWYnSSml\n9D6+rB9zzUnyfyRZmOS1fhwXAAAAgKFlq/QUY3MGYvC+LKu8OMmPe0uyO9Jz98rWJD9OklLKPyTZ\ntaqqT69+QSnl4CQlyTZJxvU+fr2qqvWum6yq6vkk/9qHbAAAAAA0nn6fMbbaFpdjVVW1l1LGJrkw\nPcsp704ytaqqRb277Jxk93Ve9ockVe/3k5KckeTxJHv3JTQAAAAA9IdSVdWm9wIAAACABtRS6wAA\nAAAAUCvKMQAAAACaVt2VY6WUL5RSHiulvFpK6SilHFbrTEDzKKWcX0rpXufP/bXOBTS2UspRpZTZ\npZQnez93pq1nnwtLKU+VUpaVUv69lLJvLbICjWlTn0OllB+t5xzpl7XKCzSeUsr/U0q5o5TyUinl\n2VLKdaWU/dazX7+fE9VVOVZKmZHk20nOT3Jokj8mmdN7AwCAwXJfem44snPvnw/UNg7QBLZOz02O\n/jZv3sToDaWU/5Xk7CSfS3J4klfSc440cjBDAg1to59DvW7M2udInxqcaECTOCrJd5NMSXJskhFJ\nbi6ljF69w0CdE9XVBflLKR1JOquq+q+9j0uSPyW5rKqqb9Y0HNAUSinnJzmpqqpJtc4CNKdSSneS\nk6uqmr3GtqeS/FNVVZf0Pt42ybNJPl1VVXttkgKNagOfQz9Ksl1VVafULhnQTHonSj2X5Oiqqn7b\nu21AzonqZuZYKWVEkslJblm9repp7n6V5Iha5QKa0rt7lxQsKKX8rJSye60DAc2rlDI+PTM01jxH\neilJZ5wjAYPrmN6lTg+UUq4opexY60BAQ9s+PTNZX0gG9pyobsqxJGOTDEtP47emZ9PzwwMMho4k\nn0kyNcnnk4xP8p+llK1rGQpoajun58TQORJQSzcm+T+TfDjJl5N8MMkve1f7APSr3s+W7yT5bVVV\nq68BPWDnRMPfzosBGk1VVXPWeHhfKeWOJI8nmZ7kR7VJBQBQW+ssV+oqpdybZEGSY5L8R01CAY3s\niiQHJjlyMA5WTzPHFidZlZ4LPK5ppyTPDH4cgKSqqiVJHkrirnBArTyTpMQ5ElBHqqp6LD1/h3OO\nBPSrUso/J/lEkmOqqnp6jacG7JyobsqxqqpWJLkryUdWb+udRveRJLfXKhfQ3Eop26TnpO/pTe0L\nMBB6/wL6TNY+R9o2PXdyco4E1EQp5V1J3hHnSEA/6i3GTkryoaqqnljzuYE8J6q3ZZUXJ/lxKeWu\nJHckOTdJa5If1zIU0DxKKf+U5Pr0LKXcLclXk6xIclUtcwGNrfe6hvum519Dk2TvUsrBSV6oqupP\n6bnmxnmllEeSLEzytSR/TvLzGsQFGtDGPod6/5yf5Jr0/MV03yT/mJ7Z9XPeOhrAliulXJHkU0mm\nJXmllLJ6htiSqqpe6/1+QM6JSs8NIetHKeVv03OBx52S3J3ki1VV/b62qYBmUUq5KslR6fmX0EVJ\nfpvkK73/SgEwIEopH0zPNXvWPTH7SVVVZ/Xuc0GSz6Xnzk23JflCVVWPDGZOoHFt7HMoyd8m+bck\nh6TnM+ip9JRi/7uqqkWDmRNoXKWU7rz1MyhJPltV1U/X2O+C9PM5Ud2VYwAAAAAwWOrmmmMAAAAA\nMNiUYwAAAAA0LeUYAAAAAE1LOQYAAABA01KOAQAAANC0lGMAAAAANC3lGAAAAABNSzkGAAAAQNNS\njgEAAADQtJRjAAANppTSXUqZVuscAABDgXIMAKAflVJ+1FtOrer9uvr7X9Y6GwAAbzW81gEAABrQ\njUk+k6SssW15baIAALAxZo4BAPS/5VVVLaqq6rk1/ixJ3ljy+PlSyi9LKctKKQtKKaeu+eJSykGl\nlFt6n19cSrmylLL1OvucVUq5r5TyWinlyVLKZetkGFdKubaU8kop5aFSyokD/DMDAAxJyjEAgMF3\nYZKrk7w3yb8kmVlK2T9JSimtSeYkeT7J5CSnJTk2yXdXv7iU8n8n+eck308yMcnxSR5a5xj/O8nM\nJO9J8ssk/1JK2X7gfiQAgKGpVFVV6wwAAA2jlPKjJGcmeW2NzVWS/7eqqm+UUrqTXFFV1dlrvGZu\nkruqqjq7lPJfkvxDkndVVfVa7/MfT3J9kl2qqlpUSvlzkh9UVXX+BjJ0J7mwqqoLeh+3Jnk5yXFV\nVd3czz8yAMCQ5ppjAAD979Ykn8/a1xx7YY3vO9bZf26Sg3u/PyDJH1cXY71+l54Z//uXUpJk195j\nbMy9q7+pqmpZKeWlJO/c3B8AAKBZKMcAAPrfK1VVPTZAY7+6mfutWOdxFZfUAAB4CydIAACD7/3r\neTy/9/v5SQ4upYxe4/kPJFmV5IGqql5OsjDJRwY6JABAMzBzDACg/40qpey0zraVVVU93/v96aWU\nu5L8Nj3XJzssyVm9z/1LkguS/KSU8tX0LIW8LMlPq6pa3LvPBUm+V0pZlOTGJNsm+auqqv55gH4e\nAICGpRwDAOh/xyV5ap1tDyY5sPf785N8MsnlSZ5O8smqqh5IkqqqXi2lTE1yaZI7kixLMivJf189\nUFVVPy2ljEpybpJ/SrK4d583dllPJndhAgBYD3erBAAYRL13kjy5qqrZtc4CAIBrjgEAAADQxJRj\nAACDy7R9AIA6YlklAAAAAE3LzDEAAAAAmpZyDAAAAICmpRwDAAAAoGkpxwAAAABoWsoxAAAAAJqW\ncgwAAACApqUcAwAAAKBpKccAAAAAaFr/PzNHSuz/UWeqAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "best_model = None\n", "################################################################################\n", "# TODO: Train the best FullyConnectedNet that you can on CIFAR-10. You might #\n", "# batch normalization and dropout useful. Store your best model in the #\n", "# best_model variable. #\n", "################################################################################\n", "best_val_acc = 0\n", "learning_rates = [1e-3]\n", "weight_scales = [5e-2]\n", "regularizations = [0.1]\n", "from itertools import product\n", "for lr, ws, reg in product(learning_rates, weight_scales, regularizations):\n", " model = FullyConnectedNet([128, 128, 128, 128, 128], weight_scale=ws, reg=reg, dtype=np.float64)\n", "\n", " solver = Solver(model, small_data, num_epochs=20, batch_size=200, \n", " update_rule='adam',\n", " optim_config={\n", " 'learning_rate': lr\n", " }, verbose=True)\n", " solver.train()\n", " print '===accuracy is:', solver.val_acc_history[-1], 'with lr, ws, reg', lr, ws, reg, '==='\n", " if solver.val_acc_history[-1] > best_val_acc:\n", " best_val_acc = solver.val_acc_history[-1]\n", " best_model = model\n", "\n", "plt.subplot(2, 1, 1)\n", "plt.title('Training loss')\n", "plt.xlabel('Iteration')\n", "plt.plot(solver.loss_history, 'o', label='adam')\n", "\n", "plt.subplot(2, 1, 2)\n", "plt.title('Train/val accuracy')\n", "plt.xlabel('Epoch')\n", "plt.plot(solver.train_acc_history, '-o', label='train')\n", "plt.plot(solver.val_acc_history, '-o', label='val')\n", "\n", "plt.legend(loc='lower right', ncol=4)\n", "plt.gcf().set_size_inches(15, 15)\n", "plt.show()\n", "\n", "################################################################################\n", "# END OF YOUR CODE #\n", "################################################################################" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Test you model\n", "Run your best model on the validation and test sets. You should achieve above 50% accuracy on the validation set." ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": false }, "outputs": [], "source": [ "X_test, X_val, y_test, y_val = data['X_test'], data['X_val'], data['y_test'], data['y_val']" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Validation set accuracy: 0.4\n", "Test set accuracy: 0.369\n" ] } ], "source": [ "y_test_pred = np.argmax(best_model.loss(X_test), axis=1)\n", "y_val_pred = np.argmax(best_model.loss(X_val), axis=1)\n", "print 'Validation set accuracy: ', (y_val_pred == y_val).mean()\n", "print 'Test set accuracy: ', (y_test_pred == y_test).mean()" ] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python [conda env:python27]", "language": "python", "name": "conda-env-python27-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.12" } }, "nbformat": 4, "nbformat_minor": 0 }