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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Face Generation\n",
"In this project, you'll use generative adversarial networks to generate new images of faces.\n",
"### Get the Data\n",
"You'll be using two datasets in this project:\n",
"- MNIST\n",
"- CelebA\n",
"\n",
"Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.\n",
"\n",
"If you're using [FloydHub](https://www.floydhub.com/), set `data_dir` to \"/input\" and use the [FloydHub data ID](http://docs.floydhub.com/home/using_datasets/) \"R5KrjnANiKVhLWAkpXhNBe\"."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Found mnist Data\n",
"Found celeba Data\n"
]
}
],
"source": [
"#data_dir = './data'\n",
"data_dir = '/input'\n",
"\n",
"# FloydHub - Use with data ID \"R5KrjnANiKVhLWAkpXhNBe\"\n",
"#data_dir = '/input'\n",
"\n",
"\n",
"\"\"\"\n",
"DON'T MODIFY ANYTHING IN THIS CELL\n",
"\"\"\"\n",
"import helper\n",
"\n",
"helper.download_extract('mnist', data_dir)\n",
"helper.download_extract('celeba', data_dir)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Explore the Data\n",
"### MNIST\n",
"As you're aware, the [MNIST](http://yann.lecun.com/exdb/mnist/) dataset contains images of handwritten digits. You can view the first number of examples by changing `show_n_images`. "
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7f1e730a1ef0>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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WaVOTftixyY0RCgIlpfF6vZy8lxLxSGuPLDmfSqWYQDz66KOYP3++qX9WYmoH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\nFmBaZwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1e79a93278>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"show_n_images = 25\n",
"\n",
"\"\"\"\n",
"DON'T MODIFY ANYTHING IN THIS CELL\n",
"\"\"\"\n",
"%matplotlib inline\n",
"import os\n",
"from glob import glob\n",
"from matplotlib import pyplot\n",
"\n",
"mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')\n",
"pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### CelebA\n",
"The [CelebFaces Attributes Dataset (CelebA)](http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing `show_n_images`."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7f1e730176d8>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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8Bkf3iEfR1IAtPHuThqm8+SnxJWa80S2apPGswuY6RYhv5xWubXLJ9aMCmk21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\niQG32V5TNX7uRQrm7TJtFbRE3HiN2gR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xvwTg0Dn3XcbYVz7t+y9a0aeCOzOb4vNXdvHV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uCTn/gEAODFF17EBlWEk1AgYWV/wR28C2JISpvNLi58dRpBCBPb1VWJCMrZvPO9f+8//hsY9imG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\nP7E6eb8E6wAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1e73044e10>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"show_n_images = 25\n",
"\n",
"\"\"\"\n",
"DON'T MODIFY ANYTHING IN THIS CELL\n",
"\"\"\"\n",
"mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')\n",
"pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Preprocess the Data\n",
"Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.\n",
"\n",
"The MNIST images are black and white images with a single [color channel](https://en.wikipedia.org/wiki/Channel_(digital_image%29) while the CelebA images have [3 color channels (RGB color channel)](https://en.wikipedia.org/wiki/Channel_(digital_image%29#RGB_Images).\n",
"## Build the Neural Network\n",
"You'll build the components necessary to build a GANs by implementing the following functions below:\n",
"- `model_inputs`\n",
"- `discriminator`\n",
"- `generator`\n",
"- `model_loss`\n",
"- `model_opt`\n",
"- `train`\n",
"\n",
"### Check the Version of TensorFlow and Access to GPU\n",
"This will check to make sure you have the correct version of TensorFlow and access to a GPU"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"TensorFlow Version: 1.2.1\n",
"Default GPU Device: /gpu:0\n"
]
}
],
"source": [
"\"\"\"\n",
"DON'T MODIFY ANYTHING IN THIS CELL\n",
"\"\"\"\n",
"from distutils.version import LooseVersion\n",
"import warnings\n",
"import tensorflow as tf\n",
"\n",
"# Check TensorFlow Version\n",
"assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer. You are using {}'.format(tf.__version__)\n",
"print('TensorFlow Version: {}'.format(tf.__version__))\n",
"\n",
"# Check for a GPU\n",
"if not tf.test.gpu_device_name():\n",
" warnings.warn('No GPU found. Please use a GPU to train your neural network.')\n",
"else:\n",
" print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Input\n",
"Implement the `model_inputs` function to create TF Placeholders for the Neural Network. It should create the following placeholders:\n",
"- Real input images placeholder with rank 4 using `image_width`, `image_height`, and `image_channels`.\n",
"- Z input placeholder with rank 2 using `z_dim`.\n",
"- Learning rate placeholder with rank 0.\n",
"\n",
"Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ERROR:tensorflow:==================================\n",
"Object was never used (type <class 'tensorflow.python.framework.ops.Operation'>):\n",
"<tf.Operation 'assert_rank_2/Assert/Assert' type=Assert>\n",
"If you want to mark it as used call its \"mark_used()\" method.\n",
"It was originally created here:\n",
"['File \"/usr/local/lib/python3.5/runpy.py\", line 193, in _run_module_as_main\\n \"__main__\", mod_spec)', 'File \"/usr/local/lib/python3.5/runpy.py\", line 85, in _run_code\\n exec(code, run_globals)', 'File \"/usr/local/lib/python3.5/site-packages/ipykernel_launcher.py\", line 16, in <module>\\n app.launch_new_instance()', 'File \"/usr/local/lib/python3.5/site-packages/traitlets/config/application.py\", line 658, in launch_instance\\n app.start()', 'File \"/usr/local/lib/python3.5/site-packages/ipykernel/kernelapp.py\", line 477, in start\\n ioloop.IOLoop.instance().start()', 'File \"/usr/local/lib/python3.5/site-packages/zmq/eventloop/ioloop.py\", line 177, in start\\n super(ZMQIOLoop, self).start()', 'File \"/usr/local/lib/python3.5/site-packages/tornado/ioloop.py\", line 888, in start\\n handler_func(fd_obj, events)', 'File \"/usr/local/lib/python3.5/site-packages/tornado/stack_context.py\", line 277, in null_wrapper\\n return fn(*args, **kwargs)', 'File \"/usr/local/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py\", line 440, in _handle_events\\n self._handle_recv()', 'File \"/usr/local/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py\", line 472, in _handle_recv\\n self._run_callback(callback, msg)', 'File \"/usr/local/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py\", line 414, in _run_callback\\n callback(*args, **kwargs)', 'File \"/usr/local/lib/python3.5/site-packages/tornado/stack_context.py\", line 277, in null_wrapper\\n return fn(*args, **kwargs)', 'File \"/usr/local/lib/python3.5/site-packages/ipykernel/kernelbase.py\", line 283, in dispatcher\\n return self.dispatch_shell(stream, msg)', 'File \"/usr/local/lib/python3.5/site-packages/ipykernel/kernelbase.py\", line 235, in dispatch_shell\\n handler(stream, idents, msg)', 'File \"/usr/local/lib/python3.5/site-packages/ipykernel/kernelbase.py\", line 399, in execute_request\\n user_expressions, allow_stdin)', 'File \"/usr/local/lib/python3.5/site-packages/ipykernel/ipkernel.py\", line 196, in do_execute\\n res = shell.run_cell(code, store_history=store_history, silent=silent)', 'File \"/usr/local/lib/python3.5/site-packages/ipykernel/zmqshell.py\", line 533, in run_cell\\n return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)', 'File \"/usr/local/lib/python3.5/site-packages/IPython/core/interactiveshell.py\", line 2698, in run_cell\\n interactivity=interactivity, compiler=compiler, result=result)', 'File \"/usr/local/lib/python3.5/site-packages/IPython/core/interactiveshell.py\", line 2808, in run_ast_nodes\\n if self.run_code(code, result):', 'File \"/usr/local/lib/python3.5/site-packages/IPython/core/interactiveshell.py\", line 2862, in run_code\\n exec(code_obj, self.user_global_ns, self.user_ns)', 'File \"<ipython-input-7-60e8f0e9d266>\", line 22, in <module>\\n tests.test_model_inputs(model_inputs)', 'File \"/output/problem_unittests.py\", line 12, in func_wrapper\\n result = func(*args)', 'File \"/output/problem_unittests.py\", line 68, in test_model_inputs\\n _check_input(learn_rate, [], \\'Learning Rate\\')', 'File \"/output/problem_unittests.py\", line 34, in _check_input\\n _assert_tensor_shape(tensor, shape, \\'Real Input\\')', 'File \"/output/problem_unittests.py\", line 20, in _assert_tensor_shape\\n assert tf.assert_rank(tensor, len(shape), message=\\'{} has wrong rank\\'.format(display_name))', 'File \"/usr/local/lib/python3.5/site-packages/tensorflow/python/ops/check_ops.py\", line 617, in assert_rank\\n dynamic_condition, data, summarize)', 'File \"/usr/local/lib/python3.5/site-packages/tensorflow/python/ops/check_ops.py\", line 571, in _assert_rank_condition\\n return control_flow_ops.Assert(condition, data, summarize=summarize)', 'File \"/usr/local/lib/python3.5/site-packages/tensorflow/python/util/tf_should_use.py\", line 170, in wrapped\\n return _add_should_use_warning(fn(*args, **kwargs))', 'File \"/usr/local/lib/python3.5/site-packages/tensorflow/python/util/tf_should_use.py\", line 139, in _add_should_use_warning\\n wrapped = TFShouldUseWarningWrapper(x)', 'File \"/usr/local/lib/python3.5/site-packages/tensorflow/python/util/tf_should_use.py\", line 96, in __init__\\n stack = [s.strip() for s in traceback.format_stack()]']\n",
"==================================\n",
"Tests Passed\n"
]
}
],
"source": [
"import problem_unittests as tests\n",
"\n",
"def model_inputs(image_width, image_height, image_channels, z_dim):\n",
" \"\"\"\n",
" Create the model inputs\n",
" :param image_width: The input image width\n",
" :param image_height: The input image height\n",
" :param image_channels: The number of image channels\n",
" :param z_dim: The dimension of Z\n",
" :return: Tuple of (tensor of real input images, tensor of z data, learning rate)\n",
" \"\"\"\n",
" inputs_real = tf.placeholder(tf.float32, (None, image_width, image_height, image_channels), name='inputs_real')\n",
" inputs_z = tf.placeholder(tf.float32, (None, z_dim), name='inputs_z')\n",
" learn_r = tf.placeholder(tf.float32, name='lr')\n",
"\n",
" return inputs_real, inputs_z, learn_r\n",
"\n",
"\n",
"\"\"\"\n",
"DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE\n",
"\"\"\"\n",
"tests.test_model_inputs(model_inputs)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Hyperparameters"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# leaky relu slope\n",
"alpha = 0.2\n",
"\n",
"# print loss every\n",
"print_every = 10\n",
"\n",
"# show image sample from G every\n",
"show_every = 100\n",
"\n",
"# Smoothing \n",
"smooth = 0.1"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Discriminator\n",
"Implement `discriminator` to create a discriminator neural network that discriminates on `images`. This function should be able to reuse the variables in the neural network. Use [`tf.variable_scope`](https://www.tensorflow.org/api_docs/python/tf/variable_scope) with a scope name of \"discriminator\" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator)."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tests Passed\n"
]
}
],
"source": [
"def discriminator(images, reuse=False):\n",
" \"\"\"\n",
" Create the discriminator network\n",
" :param images: Tensor of input image(s)\n",
" :param reuse: Boolean if the weights should be reused\n",
" :return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)\n",
" \"\"\"\n",
" with tf.variable_scope('discriminator', reuse=reuse):\n",
" \n",
" # Weights Initializer\n",
" xavier_init = tf.contrib.layers.xavier_initializer()\n",
" \n",
" \n",
" ############# CONV BLOCK 1 ################\n",
" # conv2d -> relu\n",
" \n",
" # Input layer is 28x28x3 (no batch norm here)\n",
" conv1 = tf.layers.conv2d(images, 64, 5,\n",
" strides=1,\n",
" padding='valid',\n",
" kernel_initializer=xavier_init)\n",
" relu1 = tf.maximum(alpha * conv1, conv1)\n",
" #print(relu1)\n",
" # 24x24x64\n",
" \n",
" ############# END CONV BLOCK 1 ############\n",
" \n",
" \n",
" \n",
" \n",
" ############# CONV BLOCK 2 ################\n",
" # conv2d -> batch_norm -> drop -> relu\n",
" \n",
" conv2 = tf.layers.conv2d(relu1, 128, 5,\n",
" strides=1,\n",
" padding='valid',\n",
" use_bias=False, \n",
" kernel_initializer=xavier_init)\n",
" \n",
" bn2 = tf.layers.batch_normalization(conv2, training=True)\n",
" drop2 = tf.layers.dropout(bn2, training=True)\n",
" relu2 = tf.maximum(alpha * drop2, drop2)\n",
" #print(relu2)\n",
" # 20x20x128\n",
" \n",
" ############# END CONV BLOCK 2 ############\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" ############# CONV BLOCK 3 ##############\n",
" # conv2d -> batch_norm -> drop -> relu\n",
" \n",
" conv3 = tf.layers.conv2d(relu2, 256, 5,\n",
" strides=1,\n",
" padding='valid',\n",
" use_bias=False,\n",
" kernel_initializer=xavier_init)\n",
" \n",
" bn3 = tf.layers.batch_normalization(conv3, training=True)\n",
" drop3 = tf.layers.dropout(bn3, training=True)\n",
" relu3 = tf.maximum(alpha * drop3, drop3)\n",
" #print(relu3)\n",
" # 16x16x256\n",
" \n",
" ############# END CONV BLOCK 3 ##############\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
"\n",
" \n",
" ############# CONV BLOCK 4 ##################\n",
" # conv2d -> batch_norm -> drop -> relu\n",
"\n",
" \n",
" conv4 = tf.layers.conv2d(relu3, 512, 5,\n",
" strides=2,\n",
" padding='valid',\n",
" use_bias=False,\n",
" kernel_initializer=xavier_init)\n",
" \n",
" bn4 = tf.layers.batch_normalization(conv4, training=True)\n",
" drop4 = tf.layers.dropout(bn4, training=True) \n",
" relu4 = tf.maximum(alpha * drop4, drop4)\n",
" #print(relu4)\n",
" # 6x6x512\n",
" \n",
" ############# END CONV BLOCK 4 ##############\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" ############# Out Layer ##############\n",
"\n",
" # Flatten it\n",
" flat = tf.reshape(relu4, (-1, 6*6*512))\n",
" logits = tf.layers.dense(flat, 1, kernel_initializer=xavier_init)\n",
" #print(flat)\n",
" out = tf.sigmoid(logits)\n",
" \n",
" \n",
" ############# End Out Layer ##############\n",
" \n",
" \n",
"\n",
" return out, logits\n",
"\n",
"\n",
"\"\"\"\n",
"DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE\n",
"\"\"\"\n",
"tests.test_discriminator(discriminator, tf)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Generator\n",
"Implement `generator` to generate an image using `z`. This function should be able to reuse the variables in the neural network. Use [`tf.variable_scope`](https://www.tensorflow.org/api_docs/python/tf/variable_scope) with a scope name of \"generator\" to allow the variables to be reused. The function should return the generated 28 x 28 x `out_channel_dim` images."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tests Passed\n"
]
}
],
"source": [
"def generator(z, out_channel_dim, is_train=True):\n",
" \"\"\"\n",
" Create the generator network\n",
" :param z: Input z\n",
" :param out_channel_dim: The number of channels in the output image\n",
" :param is_train: Boolean if generator is being used for training\n",
" :return: The tensor output of the generator\n",
" \"\"\"\n",
" \n",
" with tf.variable_scope('generator', reuse=not is_train):\n",
" \n",
" \n",
" # Weights Initializer\n",
" xavier_init = tf.contrib.layers.xavier_initializer()\n",
" \n",
" ############# Fully Connected ################\n",
"\n",
" fc = tf.layers.dense(z, 7*7*1024, kernel_initializer=xavier_init)\n",
" fc = tf.reshape(fc, (-1, 7, 7, 1024))\n",
" drop = tf.layers.dropout(fc, training=is_train)\n",
" relu = tf.maximum(alpha * drop, drop)\n",
" #print(fc)\n",
" # 7x7x1024 now\n",
" \n",
" ############# END Fully connected #############\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" ############# DCONV BLOCK 1 ###################\n",
" # conv2d_transpose -> batch_norm -> drop -> relu\n",
" \n",
" dconv1 = tf.layers.conv2d_transpose(relu, 512, 3,\n",
" strides=2,\n",
" padding='same',\n",
" use_bias=False,\n",
" kernel_initializer=xavier_init)\n",
" \n",
" bn1 = tf.layers.batch_normalization(dconv1, training=is_train)\n",
" drop1 = tf.layers.dropout(bn1, training=is_train)\n",
" relu1 = tf.maximum(alpha * drop1, drop1)\n",
" #print(dconv1)\n",
" # 14x14x512 now\n",
" \n",
" ############# END DCONV BLOCK 1 ################\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" ############# DCONV BLOCK 2 ###################\n",
" # conv2d_transpose -> batch_norm -> drop -> relu \n",
" \n",
" \n",
" dconv2 = tf.layers.conv2d_transpose(relu1, 256, 3,\n",
" strides=2,\n",
" padding='same',\n",
" use_bias=False,\n",
" kernel_initializer=xavier_init)\n",
" \n",
" bn2 = tf.layers.batch_normalization(dconv2, training=is_train)\n",
" drop2 = tf.layers.dropout(bn2, training=is_train)\n",
" relu2 = tf.maximum(alpha * drop2, drop2)\n",
" #print(dconv2)\n",
" # 28x28x256 now\n",
" \n",
" ############# END DCONV BLOCK 2 ###################\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" ############# DCONV BLOCK 3 ###################\n",
" # conv2d_transpose -> batch_norm -> drop -> relu\n",
" \n",
" dconv3 = tf.layers.conv2d_transpose(relu2, 128, 5,\n",
" strides=1,\n",
" padding='same',\n",
" use_bias=False,\n",
" kernel_initializer=xavier_init)\n",
" \n",
" bn3 = tf.layers.batch_normalization(dconv3, training=is_train)\n",
" drop3 = tf.layers.dropout(bn3,training=is_train)\n",
" relu3 = tf.maximum(alpha * drop3, drop3)\n",
" #print(dconv3)\n",
" # 28x28x128 now\n",
" \n",
" ############# END DCONV BLOCK 3 ###################\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" ############# Out Layer ##############\n",
" \n",
" logits = tf.layers.conv2d_transpose(relu3, out_channel_dim, 5,\n",
" strides=1,\n",
" padding='same',\n",
" kernel_initializer=xavier_init)\n",
" \n",
" #print(logits)\n",
" # 28x28x(channels) now\n",
" \n",
" out = tf.tanh(logits)\n",
" \n",
" ############# Out Layer ##############\n",
" \n",
" return out\n",
"\n",
"\n",
"\"\"\"\n",
"DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE\n",
"\"\"\"\n",
"tests.test_generator(generator, tf)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Loss\n",
"Implement `model_loss` to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:\n",
"- `discriminator(images, reuse=False)`\n",
"- `generator(z, out_channel_dim, is_train=True)`"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tests Passed\n"
]
}
],
"source": [
"def model_loss(input_real, input_z, out_channel_dim):\n",
" \"\"\"\n",
" Get the loss for the discriminator and generator\n",
" :param input_real: Images from the real dataset\n",
" :param input_z: Z input\n",
" :param out_channel_dim: The number of channels in the output image\n",
" :return: A tuple of (discriminator loss, generator loss)\n",
" \"\"\"\n",
" g_model = generator(input_z, out_channel_dim, True)\n",
" d_model_real, d_logits_real = discriminator(input_real)\n",
" d_model_fake, d_logits_fake = discriminator(g_model, reuse=True)\n",
"\n",
" d_loss_real = tf.reduce_mean(\n",
" tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real,\n",
" labels=tf.ones_like(d_model_real) * (1 - smooth)))\n",
" \n",
" d_loss_fake = tf.reduce_mean(\n",
" tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))\n",
" \n",
" \n",
" g_loss = tf.reduce_mean(\n",
" tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))\n",
"\n",
" d_loss = d_loss_real + d_loss_fake\n",
" \n",
" return d_loss, g_loss\n",
"\n",
"\n",
"\"\"\"\n",
"DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE\n",
"\"\"\"\n",
"tests.test_model_loss(model_loss)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Optimization\n",
"Implement `model_opt` to create the optimization operations for the GANs. Use [`tf.trainable_variables`](https://www.tensorflow.org/api_docs/python/tf/trainable_variables) to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation)."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tests Passed\n"
]
}
],
"source": [
"def model_opt(d_loss, g_loss, learning_rate, beta1):\n",
" \"\"\"\n",
" Get optimization operations\n",
" :param d_loss: Discriminator loss Tensor\n",
" :param g_loss: Generator loss Tensor\n",
" :param learning_rate: Learning Rate Placeholder\n",
" :param beta1: The exponential decay rate for the 1st moment in the optimizer\n",
" :return: A tuple of (discriminator training operation, generator training operation)\n",
" \"\"\"\n",
" \n",
" # Get weights and bias to update\n",
" t_vars = tf.trainable_variables()\n",
" d_vars = [var for var in t_vars if var.name.startswith('discriminator')]\n",
" g_vars = [var for var in t_vars if var.name.startswith('generator')]\n",
"\n",
" # Optimize\n",
" with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):\n",
" d_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)\n",
" g_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(g_loss, var_list=g_vars)\n",
"\n",
" \n",
" return d_train_opt, g_train_opt\n",
"\n",
"\n",
"\"\"\"\n",
"DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE\n",
"\"\"\"\n",
"tests.test_model_opt(model_opt, tf)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Neural Network Training\n",
"### Show Output\n",
"Use this function to show the current output of the generator during training. It will help you determine how well the GANs is training."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"\"\"\"\n",
"DON'T MODIFY ANYTHING IN THIS CELL\n",
"\"\"\"\n",
"import numpy as np\n",
"\n",
"def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):\n",
" \"\"\"\n",
" Show example output for the generator\n",
" :param sess: TensorFlow session\n",
" :param n_images: Number of Images to display\n",
" :param input_z: Input Z Tensor\n",
" :param out_channel_dim: The number of channels in the output image\n",
" :param image_mode: The mode to use for images (\"RGB\" or \"L\")\n",
" \"\"\"\n",
" cmap = None if image_mode == 'RGB' else 'gray'\n",
" z_dim = input_z.get_shape().as_list()[-1]\n",
" example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])\n",
"\n",
" samples = sess.run(\n",
" generator(input_z, out_channel_dim, False),\n",
" feed_dict={input_z: example_z})\n",
"\n",
" images_grid = helper.images_square_grid(samples, image_mode)\n",
" pyplot.imshow(images_grid, cmap=cmap)\n",
" pyplot.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Train\n",
"Implement `train` to build and train the GANs. Use the following functions you implemented:\n",
"- `model_inputs(image_width, image_height, image_channels, z_dim)`\n",
"- `model_loss(input_real, input_z, out_channel_dim)`\n",
"- `model_opt(d_loss, g_loss, learning_rate, beta1)`\n",
"\n",
"Use the `show_generator_output` to show `generator` output while you train. Running `show_generator_output` for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the `generator` output every 100 batches."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from IPython.core.debugger import Tracer\n",
"\n",
"def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):\n",
" \"\"\"\n",
" Train the GAN\n",
" :param epoch_count: Number of epochs\n",
" :param batch_size: Batch Size\n",
" :param z_dim: Z dimension\n",
" :param learning_rate: Learning Rate\n",
" :param beta1: The exponential decay rate for the 1st moment in the optimizer\n",
" :param get_batches: Function to get batches\n",
" :param data_shape: Shape of the data\n",
" :param data_image_mode: The image mode to use for images (\"RGB\" or \"L\")\n",
" \"\"\"\n",
" \n",
" # create input placeholders\n",
" #print(data_shape)\n",
" image_shape = data_shape[1:]\n",
" #print(image_shape)\n",
" out_channel_dim = image_shape[-1]\n",
" #print(out_channel_dim)\n",
" \n",
" inputs_real, inputs_z, lr_rate = model_inputs(*image_shape, z_dim)\n",
" #print(inputs_real)\n",
" d_loss, g_loss = model_loss(inputs_real, inputs_z, out_channel_dim)\n",
" d_train_opt, g_train_opt = model_opt(d_loss, g_loss, lr_rate, beta1)\n",
" #print(inputs_real)\n",
" \n",
" #t_vars = tf.trainable_variables()\n",
" #g_vars = [var for var in t_vars if var.name.startswith('generator')]\n",
" #saver = tf.train.Saver(var_list=g_vars)\n",
" \n",
" def scale(x, target_range=(-1,1)):\n",
" min, max = target_range\n",
" \n",
" # One liner, but too expensive \n",
" #x = (x - x.min()) * (max - min) / (x.max() - x.min()) + min\n",
" \n",
" # First scale to [0,1]\n",
" x = ((x - x.min())/(x.max() - x.min()))\n",
" \n",
" # Then scale to target_range\n",
" min, max = target_range\n",
" x = x * (max - min) + min\n",
" return x\n",
" \n",
" \n",
" steps = 0\n",
" with tf.Session() as sess:\n",
" sess.run(tf.global_variables_initializer())\n",
" for epoch_i in range(epoch_count):\n",
" for batch_images in get_batches(batch_size):\n",
" steps += 1\n",
" #print(\"Step {} ...\".format(steps))\n",
" \n",
" #1 Scale real images to [-1,1] range since that is also the generator output scale\n",
" batch_images = scale(batch_images, target_range=(-1,1))\n",
" \n",
" \n",
" #3 Sample random noise for generator\n",
" batch_z = np.random.uniform(-1,1, size=(batch_size, z_dim))\n",
" \n",
" \n",
" #3 Run optimizers\n",
" #print(batch_images.shape)\n",
" \n",
" \n",
" # Optimize discriminator\n",
" _ = sess.run(d_train_opt, feed_dict={inputs_real: batch_images,\n",
" inputs_z: batch_z,\n",
" lr_rate: learning_rate})\n",
" \n",
" \n",
" \n",
" \n",
" # Optimize generator (Run twice to avoid faster convergence of D)\n",
" _ = sess.run(g_train_opt, feed_dict={inputs_z: batch_z,\n",
" inputs_real: batch_images,\n",
" lr_rate: learning_rate})\n",
" _ = sess.run(g_train_opt, feed_dict={inputs_z: batch_z,\n",
" inputs_real: batch_images,\n",
" lr_rate: learning_rate})\n",
" \n",
" \n",
" #Tracer()() #this one triggers the debugger\n",
" if steps % print_every == 0:\n",
" \n",
" d_train_loss = d_loss.eval({inputs_real: batch_images,\n",
" inputs_z: batch_z,\n",
" lr_rate: learning_rate})\n",
" \n",
" # Optimize generator\n",
" g_train_loss = g_loss.eval({inputs_z: batch_z,\n",
" inputs_real: batch_images,\n",
" lr_rate: learning_rate})\n",
" \n",
" #Tracer()() #this one triggers the debugger\n",
" print(\"Epoch {}/{}-Step {}...\".format(epoch_i+1, epoch_count,steps),\n",
" \"Discriminator Loss: {:.4f}...\".format(d_train_loss),\n",
" \"Generator Loss: {:.4f}\".format(g_train_loss))\n",
" \n",
" if steps % show_every == 0:\n",
" show_generator_output(sess, 9, inputs_z, out_channel_dim, data_image_mode)\n",
" \n",
" \n",
" \n",
" "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### MNIST\n",
"Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 10... Discriminator Loss: 2.3118... Generator Loss: 1.8300\n",
"Epoch 1/2-Step 20... Discriminator Loss: 3.3062... Generator Loss: 0.4146\n",
"Epoch 1/2-Step 30... Discriminator Loss: 5.4623... Generator Loss: 0.0596\n",
"Epoch 1/2-Step 40... Discriminator Loss: 3.8122... Generator Loss: 2.1554\n",
"Epoch 1/2-Step 50... Discriminator Loss: 2.1463... Generator Loss: 1.6847\n",
"Epoch 1/2-Step 60... Discriminator Loss: 1.8216... Generator Loss: 1.3277\n",
"Epoch 1/2-Step 70... Discriminator Loss: 3.0009... Generator Loss: 0.2086\n",
"Epoch 1/2-Step 80... Discriminator Loss: 2.1514... Generator Loss: 0.5999\n",
"Epoch 1/2-Step 90... Discriminator Loss: 2.6132... Generator Loss: 0.6457\n",
"Epoch 1/2-Step 100... Discriminator Loss: 1.3977... Generator Loss: 0.9171\n"
]
},
{
"data": {
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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dd49f58d0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 110... Discriminator Loss: 1.7667... Generator Loss: 1.2358\n",
"Epoch 1/2-Step 120... Discriminator Loss: 2.2311... Generator Loss: 1.1288\n",
"Epoch 1/2-Step 130... Discriminator Loss: 1.6081... Generator Loss: 1.1581\n",
"Epoch 1/2-Step 140... Discriminator Loss: 2.1011... Generator Loss: 0.8867\n",
"Epoch 1/2-Step 150... Discriminator Loss: 2.1195... Generator Loss: 0.4963\n",
"Epoch 1/2-Step 160... Discriminator Loss: 1.9894... Generator Loss: 0.6073\n",
"Epoch 1/2-Step 170... Discriminator Loss: 2.5766... Generator Loss: 0.3160\n",
"Epoch 1/2-Step 180... Discriminator Loss: 2.6919... Generator Loss: 0.3946\n",
"Epoch 1/2-Step 190... Discriminator Loss: 2.1254... Generator Loss: 0.9327\n",
"Epoch 1/2-Step 200... Discriminator Loss: 3.2503... Generator Loss: 0.2115\n"
]
},
{
"data": {
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3OOeOAWYDX2lcNw3DqCdND9JplarfbpRS9UTFbJfrE/Oea2KwSdn+tBt6mibJ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\nkd5nn30AmD59ek39Xfka2Yh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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dc4537898>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 210... Discriminator Loss: 2.3345... Generator Loss: 1.4846\n",
"Epoch 1/2-Step 220... Discriminator Loss: 2.3870... Generator Loss: 0.3692\n",
"Epoch 1/2-Step 230... Discriminator Loss: 2.6547... Generator Loss: 0.7615\n",
"Epoch 1/2-Step 240... Discriminator Loss: 1.9027... Generator Loss: 1.3755\n",
"Epoch 1/2-Step 250... Discriminator Loss: 2.2588... Generator Loss: 1.6757\n",
"Epoch 1/2-Step 260... Discriminator Loss: 1.8497... Generator Loss: 0.4162\n",
"Epoch 1/2-Step 270... Discriminator Loss: 2.2802... Generator Loss: 0.8063\n",
"Epoch 1/2-Step 280... Discriminator Loss: 2.4021... Generator Loss: 1.9779\n",
"Epoch 1/2-Step 290... Discriminator Loss: 2.1448... Generator Loss: 0.5301\n",
"Epoch 1/2-Step 300... Discriminator Loss: 2.8183... Generator Loss: 2.2886\n"
]
},
{
"data": {
"image/png": 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DM8JMEkJ4NbA0xnjNdM9lQFgB2AI4Ica4OS3X8Aqtn2H3\nZ1K5LuswzBf/AWAN+7tjnr7lFSGEFWm99N+IMX53rHtJCGHu2Pa5wNJO+y9n2B7YO4RwD63CKLvQ\nWiOvNJZGHWbWPbofuD+2MkZBK2vUFszc+5NyXcYY/w5Ucl2O/abv+zPMF/8XwPpjWskn0VJUfH+I\nx58UxvINfhm4NcZ4vG36Pq2cgzCDcg/GGI+OMa4eY1yL1r34cYzxEGZoLsUY40PAfSEEBbMrN+SM\nvD9Mda7LISss9gR+BdwJfHi6FSg9zn0HWjTxBuC6sX970loXXwLcAfwIWHm659rHue0EnDfWXgf4\nObAI+Dbw5OmeXw/nsRlw9dg9Ogd49ky+P8AxwG3ATcCpwJMHdX+K515BwQiiKPcKCkYQ5cUvKBhB\nlBe/oGAEUV78goIRRHnxCwpGEOXFLygYQZQXv6BgBFFe/IKCEcT/B/JmvxcH8kDOAAAAAElFTkSu\nQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dd48a7780>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 310... Discriminator Loss: 2.2783... Generator Loss: 0.7090\n",
"Epoch 1/2-Step 320... Discriminator Loss: 2.3461... Generator Loss: 1.9455\n",
"Epoch 1/2-Step 330... Discriminator Loss: 1.7101... Generator Loss: 0.7023\n",
"Epoch 1/2-Step 340... Discriminator Loss: 1.8282... Generator Loss: 0.4235\n",
"Epoch 1/2-Step 350... Discriminator Loss: 2.4861... Generator Loss: 0.4528\n",
"Epoch 1/2-Step 360... Discriminator Loss: 2.2659... Generator Loss: 0.7544\n",
"Epoch 1/2-Step 370... Discriminator Loss: 2.0567... Generator Loss: 0.5790\n",
"Epoch 1/2-Step 380... Discriminator Loss: 1.7823... Generator Loss: 0.9565\n",
"Epoch 1/2-Step 390... Discriminator Loss: 1.9036... Generator Loss: 0.7933\n",
"Epoch 1/2-Step 400... Discriminator Loss: 2.1564... Generator Loss: 0.4115\n"
]
},
{
"data": {
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OD+IvvuP0IMNe1FcR0cRtDXwwjzoVmTSG3ESlnDinihVTXAEcdthhQF4RpIot\nE501nbemo7YEnfXopKjfjIKsluhr28oF+6j/glacade5taIAtSkZVMfEdwO9lprZKHc+lvhUp7Kq\nnG3nlMRHfMfpQfzFd5weZESJ+qbtVFHTgkw0RlwDS0yct8olUIisW221VerTBJ0mnqo7q6Wj0mmE\nBZlMmzYt9akballUhMulUMppxssub6d4aNddc/Fb8UetOqQa+Hbtv6yor9fAAmR0GpdDpyOW/urY\nY49NffZs2DKAbbbZJrW33XZboDq4yc5bp3tqebIgKfVJefvtt4Hq51IDmQarLdBohSof8R2nBwll\nvhAhhGeBt4APgQ9ijOuHEJYELgJWBJ4FdooxvlZrG5XtNPz51y+4KdH0a2wpn9XmrmmbbcTX7eQU\nTtpntuszzzwz9d12221AdSJK+0LrutYHhcRQ7xrrsdkIkFtHw5HVy8tCX1XSsdFBR4ncqFkvQEWX\n33zzzQBssskmqc9CoDW9eSc87kzKUA/NHHq8pvA1pTAUwVz6vFx77bWpbdl2cn4DtSQzO7Yjjzwy\n9U2aNAkoUoVDteLX0omrgtkSoOoob74TUPhP6DNmx2Fel++++y4ffvhh3cybjYz4m8UYx8cY16/8\nfThwc4xxFeDmyt+O44wAWhH1t6OvkAaV/7cf5LeO4wwjyir3InBjRVQ/rZIrf9kYo2UcfBEYWG2w\nDah4ZcqR/fbbL/WZe62Kc6ZsgaK0sSqkzKX30UcfTX0mxkLhdqtVZqyCjipjTLxSca1dCSJz21Gx\n/be//W1q2xRARf1TT+0raqS5AtR917ap/g+GTgnUprzWWmsB1W6k55xzDtAZXwTFFGczZ85Mfbnr\nq3025dDrYv4GOh184oknUrtsOW5dbvdFRX3r+973vpf6NAOP7eeZZ55JfaaAfvbZZ1Of3h/LCfH8\n88+nPnv27D3QZ3Ywyr74m8YY54UQlgGmhhCe0IUxxlhr/h5C2AfYp+R+HMfpAqVe/BjjvMr/L4cQ\nrqAvu+5LIYTRMcYXQgijgaybWv9KOq0crH1ltWqLfeH0S2eKOCi88JZaaqnUZx5U6mGm27SRQkd3\n+/JqkI55ganXmppsylJP8Zg7Ri3tbKm/1YPQvA5V0aaSSS7LjZm/1LS52WabpballNZU2mau0mul\nEkO7zHn77rsvUJQwL4PtW5VhZv6tVVOwFQ9BNf+aglgli1zZb62Xd/fddwPVkqg+o2Y61WO08zFT\nd9mKOnV/saqhAAAV1klEQVTn+CGExUIIn7Q2sDXwGHA1fYU0wAtqOM6IosyIvyxwReVLshBwfozx\n+hDCfcDFIYTvAs8BO3XuMB3HaSd1X/xK4Yy1M/2vAlt04qBaJafgUcWWiU+1Ei7mxD0TB1WctuKR\nV1999aDr1kNFwLLra0WfLbfcEqi2cVuxRj3vnAie8zRU0VhF0ZVWWgmAK664IvVZ1ZxGizY2ipUp\nb0TUNzQ/g10DnZrkMga1iu2n1jNmov5pp52W+syO30g+CZv+2dSibN4C99xznB7EX3zH6UGGfZBO\nJ6gnhuXEPVtHxUITo81lVn/XCKptLyvmaVCSiXdWNQiKOO56GvZcnx6D2s2vuqpPf6u2Z7Ppd0KT\nr5iLbTM58HUqZRaYJZZYIvVpTYZ2YSK4+X9A9bNjVgpNbdbKdbP9lX3+fMR3nB6k6yO+KVU6kVK6\nLPUUUblqKzbiqPeV2cKbqcqiv9Ntqq2+PzpyaWiyraOKuEaPR6llkzcJR0cu+22nlXu271rSUS40\n2WzbWuXHgqw0oWVZb7d6qD+AZWpSiemee+5JbQ2+aQeeXttxnLr4i+84PUhXRf0QQhKZTSHVLpG/\nlridE0FzoryK0dbWijJmv9dkmxb8oYoitaPaVEDP0fapoqb6Bpgoa/ZxKMS4PffcM/WpOG5io2YH\nsgAitcnXs1fbNvXYbDuQVzza8lxBSMgrUvsv63889tvddtst9Zmor2XK1VXa/BFWXXXV1GfFOzfc\ncMPUN3fuXKC6qpBea7v39YKOcnH/6s5tz8QjjzyS+u64447Uzk1NmlHu9X+e3I7vOE5NSmXgaRcL\nLrhgtBHCAhpy2VpqHdNgJY51xNYRy9q5ksyahUXDds1EpZ5wOclksLpwueNWVEk1bty41LZAGP1y\n50baXNhuLpOPSgaKHXMj99+2r0qsnLI2J1nkjq2Wt6S1dT+WIluVnzmPvNzx5qSJRrIi2bOlz0tu\npM5VKqqVjSj3LNv6emx6/+yZ0Wfdgs9Mapw+fTrvvPNOWzPwOI4zn+AvvuP0IF1V7sUYB4j4jYia\n9ttaopBhMcpQKJ90HRMXVTSzWGcoxOx6RSZzxzPYcSsqyqt3l4mvuu+yYrkuH0yp1shxKratnJ2/\nnuIwNz3T7eS2qdux66HXrVu+ILn9qLidE9vtPtYS9W393Dkq2peb8tm01N6rsp6fPuI7Tg/iL77j\n9CBdF/Wb0SaXQcUsTQZp2nzNaW6pt1SEU1uuUU/8bNc5qK3daJcLbCesNirmmihbT+wuK/5ru57t\nv1vYsasYXTaGvxHrQTPYcVjKt7I1DXzEd5wepNSIH0IYBZwOrElfqu29gJk0XklngN231RHJtqOJ\nDrVto5OV0wY499xzAVhyySVT3zXXXJPa559/PlBdXtmSSk6fPj312Ujd6jmoZGGKSR0JzEOtkcws\nncDsyJpA0iSlRrLY2D3T88mN+OrrYB6Tmiq727RT2ssp91qhU0E6JwHXxxi/SF8arhl4JR3HGbGU\nybL7aeCrwBkAMcb3Yoyv45V0HGfEUkbUHwe8ApwVQlgbeAA4iCYr6Zgbpol77arAUkvUMRFU7b8m\nqqqbrpY9tkomllwSioCPhx9+OPVZzv7BYujLkPM7UPE/597cLVdrdZu1XP0aKHPrrbc2fTz1RGdV\n0naiEOdQYgFgGmjUCmV9Sowyov5CwLrAqTHGdYB36CfWx7691aykE0K4P4Rwf2654zjdp8yIPxeY\nG2OcVvn7Uvpe/IYr6Sy88MLRvnQ20ne65popUX7zm9+kPjsGHVG0Osztt98OVNfT23vvvQGYOHFi\n6rOwUa1Pl1NY5UY2NYmpssxGNlVs2YivZr92jfi54Bkd5TWA6Lvf/e6A47A8f62Gl+bIBf50Yj/d\nQkOcTzrpJAAOOuig1JczKZelbDixUXfEjzG+CMwJIVig8xbAdLySjuOMWMo68BwAnBdCWAR4GtiT\nvo+GV9JxnBFI2aKZDwHrZxY1VEknhJDEHVOIqc29E/z85z8HYJNNNkl9JiJqcc2jjz46tS19tCqU\nDj30UKCoWgOFOJ7LygOFWJrzNlOFnpWAhqJUspU9hkJ804KcnfBgW2eddQDYfffdU1+u4oz5NEAx\nTdEgp3bdUxXlbfu1PN2Gg9ivx7bTTn3joBYdtZLtUOSJ0GKuqmAui90fe57cc89xnJp0NQPPIoss\nEs1P3kavToz4OVOY9tnose2226Y+LU1spj9VsNmXVJVyhmb3yaV8zqFZglZbbbUB+xk7dmzqs1p/\nDz300IDftYqez5QpUwDYdNNNU58qOH/84x8D1fX4zLtRpRENM27l+dIR1CTFWmG53R7x9dkwqfKA\nAw7ILh8MLagxfvx4oFp6qofdPzNNv/XWW3zwwQeegcdxnIH4i+84PUhXw3I/+uijJMZ0MuDknHPO\nSW0T8dX2vPHGGwMwe/bs1KeJFM2OrX3W1qmJbbMZjzrdzvPPP5/aY8aMGbDcFDe5qUeraArxjTba\nCKgW/60GH8CsWbOAalHUrm8uIw0MXRBKJ9h5551TW3039DkxTCGrFXN0Smdh4npetp1GRP3+HrDt\n9NxzHGc+w198x+lBui7qmwa83aKbippmQ7V9Amy++eapz2Lq61XS0eAbE7ObSYKZI2ej1u3PmTMn\n9VkgRyds91p80ywNb775Zuq74oorUjuXpNTanQ6isSlFJzIg1ePzn/88AOedd96A41F0enbIIYcA\ncNppp6W+SZMmpfYll1wCVPtwlLUEKP2zA7mo7zhOTbqec6/dI8MJJ5wAwMEHH5xdbvZlq1ADhfJO\nR3n9UuZSI2tAT7vR/Zjnn0obVtGnVgBG2eowiin19LrZiKW2ZfMhGGz/je67LDqq5vwnOonu2+rf\naZ+erz1jV11VhKvccMMNg66TqwBltnj1kyhLo+nqfcR3nB7EX3zH6UG6KupDexRUGtdcS8Q3TNRS\n91zLrKOlkqdNm5baJt7Wq6STSwPdqqLPRPxa5a3rrT8YmnD0xBNPBKqDgX72s58B1co9vdY2RWrE\nB6OZaYhRr2JSJznrrLNSW6+Boc+xKWfVTm/x9uqarYFihipxcz4RZd2SO5Vs03Gc+YiuBumEEGIr\nI4Ch4bRf/epXB/2tjZZa8tq+wuoxd9lll6X28ccfP2CdTl4nHc1sdFFlYitSko4eet022GADAH77\n29+mPjNBqVlphRVWGLDNmTNnpnbZghGtXr9c1qROmDfNe+6114pM8RpCbeSUverBlyudrZmNTErY\ncccdU59JnbUCkQaTtDQDT4zRg3QcxxmIv/iO04PUVe5Vcu1dJF0rAUcBv6fBSjrQHpE5Z0/W7aoH\nlYnRqqAxkUnTRKuS0JIennzyydnttxsV9RsNtqiHeoatvfbaA/ZjMfZQTIv0+lrQEBTTg+OOO27A\nOp2m00lZDXs2zA4P1YphQxW6uamAoQk0Z8yYkdo//elPAbjjjjtSn52jTgn0ubXluSlO/wpV9SiT\nbHNmjHF8jHE8sB7wLnAFXknHcUYsjYr6WwBPxRifwyvpOM6IpVE7/j8BF1TaTVXSaQdW6QYKsV41\nnpdeemlqm7ulFsU0ram5+wL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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dd4d7d208>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 410... Discriminator Loss: 1.9079... Generator Loss: 0.7702\n",
"Epoch 1/2-Step 420... Discriminator Loss: 1.7968... Generator Loss: 0.7860\n",
"Epoch 1/2-Step 430... Discriminator Loss: 2.0565... Generator Loss: 0.5020\n",
"Epoch 1/2-Step 440... Discriminator Loss: 1.5293... Generator Loss: 1.2694\n",
"Epoch 1/2-Step 450... Discriminator Loss: 2.2105... Generator Loss: 0.1410\n",
"Epoch 1/2-Step 460... Discriminator Loss: 1.3486... Generator Loss: 1.1598\n",
"Epoch 1/2-Step 470... Discriminator Loss: 2.2251... Generator Loss: 1.4939\n",
"Epoch 1/2-Step 480... Discriminator Loss: 1.7503... Generator Loss: 0.6644\n",
"Epoch 1/2-Step 490... Discriminator Loss: 3.0195... Generator Loss: 0.3693\n",
"Epoch 1/2-Step 500... Discriminator Loss: 2.2151... Generator Loss: 0.9348\n"
]
},
{
"data": {
"image/png": 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s82y++eZA9TTe6rlnYbSqyVQrS23bvrNmzUoyC9CaPXt2kqnXp+Vo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\nD+IvvuP0IP7iO04P8v8B+TSDK/75PhoAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dc43f9b70>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 510... Discriminator Loss: 3.9171... Generator Loss: 0.0883\n",
"Epoch 1/2-Step 520... Discriminator Loss: 1.4402... Generator Loss: 1.4085\n",
"Epoch 1/2-Step 530... Discriminator Loss: 2.2724... Generator Loss: 0.7950\n",
"Epoch 1/2-Step 540... Discriminator Loss: 1.9018... Generator Loss: 0.8728\n",
"Epoch 1/2-Step 550... Discriminator Loss: 1.5139... Generator Loss: 0.9002\n",
"Epoch 1/2-Step 560... Discriminator Loss: 1.3713... Generator Loss: 0.9616\n",
"Epoch 1/2-Step 570... Discriminator Loss: 1.7664... Generator Loss: 1.1300\n",
"Epoch 1/2-Step 580... Discriminator Loss: 1.6943... Generator Loss: 1.7043\n",
"Epoch 1/2-Step 590... Discriminator Loss: 2.2566... Generator Loss: 0.3415\n",
"Epoch 1/2-Step 600... Discriminator Loss: 1.6204... Generator Loss: 0.8635\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbd0d2b38>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 610... Discriminator Loss: 2.0628... Generator Loss: 0.6711\n",
"Epoch 1/2-Step 620... Discriminator Loss: 1.3906... Generator Loss: 1.0603\n",
"Epoch 1/2-Step 630... Discriminator Loss: 1.4823... Generator Loss: 0.6392\n",
"Epoch 1/2-Step 640... Discriminator Loss: 1.7678... Generator Loss: 0.7574\n",
"Epoch 1/2-Step 650... Discriminator Loss: 1.7096... Generator Loss: 1.1681\n",
"Epoch 1/2-Step 660... Discriminator Loss: 1.7436... Generator Loss: 0.9023\n",
"Epoch 1/2-Step 670... Discriminator Loss: 2.0634... Generator Loss: 0.6600\n",
"Epoch 1/2-Step 680... Discriminator Loss: 1.8377... Generator Loss: 2.0370\n",
"Epoch 1/2-Step 690... Discriminator Loss: 1.6467... Generator Loss: 0.7104\n",
"Epoch 1/2-Step 700... Discriminator Loss: 1.5969... Generator Loss: 0.5801\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dc462d320>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 710... Discriminator Loss: 2.0489... Generator Loss: 0.4872\n",
"Epoch 1/2-Step 720... Discriminator Loss: 2.2425... Generator Loss: 0.4303\n",
"Epoch 1/2-Step 730... Discriminator Loss: 2.0173... Generator Loss: 0.8741\n",
"Epoch 1/2-Step 740... Discriminator Loss: 2.1449... Generator Loss: 0.5130\n",
"Epoch 1/2-Step 750... Discriminator Loss: 1.5261... Generator Loss: 0.8271\n",
"Epoch 1/2-Step 760... Discriminator Loss: 1.8701... Generator Loss: 0.3742\n",
"Epoch 1/2-Step 770... Discriminator Loss: 1.7754... Generator Loss: 0.6628\n",
"Epoch 1/2-Step 780... Discriminator Loss: 1.7760... Generator Loss: 0.5923\n",
"Epoch 1/2-Step 790... Discriminator Loss: 1.8626... Generator Loss: 0.6293\n",
"Epoch 1/2-Step 800... Discriminator Loss: 1.4426... Generator Loss: 1.4333\n"
]
},
{
"data": {
"image/png": 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C/u/uzrlX89foHufcKoW+o1ZwzrV3zt3vnJvlnJvpnBtcz9fHOfeb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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbce674a8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 810... Discriminator Loss: 2.2480... Generator Loss: 0.2999\n",
"Epoch 1/2-Step 820... Discriminator Loss: 2.1555... Generator Loss: 1.3444\n",
"Epoch 1/2-Step 830... Discriminator Loss: 1.9879... Generator Loss: 0.9417\n",
"Epoch 1/2-Step 840... Discriminator Loss: 2.4632... Generator Loss: 0.3972\n",
"Epoch 1/2-Step 850... Discriminator Loss: 1.4709... Generator Loss: 0.5511\n",
"Epoch 1/2-Step 860... Discriminator Loss: 2.2099... Generator Loss: 2.0288\n",
"Epoch 1/2-Step 870... Discriminator Loss: 1.8572... Generator Loss: 1.4878\n",
"Epoch 1/2-Step 880... Discriminator Loss: 1.9986... Generator Loss: 1.5338\n",
"Epoch 1/2-Step 890... Discriminator Loss: 1.7793... Generator Loss: 0.7089\n",
"Epoch 1/2-Step 900... Discriminator Loss: 1.0658... Generator Loss: 1.5902\n"
]
},
{
"data": {
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utfuYK865ls65+5xzbzvn5jrnetfz/XHOjUg+a2855/7pnFuvVPen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\niCH24htGDLEX3zBiiL34hhFD/g9MMNIA6vzMeAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbce675c0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 910... Discriminator Loss: 2.0082... Generator Loss: 0.6012\n",
"Epoch 1/2-Step 920... Discriminator Loss: 1.6025... Generator Loss: 0.5098\n",
"Epoch 1/2-Step 930... Discriminator Loss: 2.4625... Generator Loss: 0.2596\n",
"Epoch 1/2-Step 940... Discriminator Loss: 1.4311... Generator Loss: 1.0545\n",
"Epoch 1/2-Step 950... Discriminator Loss: 1.7271... Generator Loss: 0.7301\n",
"Epoch 1/2-Step 960... Discriminator Loss: 2.2494... Generator Loss: 1.4716\n",
"Epoch 1/2-Step 970... Discriminator Loss: 1.6490... Generator Loss: 0.9634\n",
"Epoch 1/2-Step 980... Discriminator Loss: 1.8123... Generator Loss: 2.0872\n",
"Epoch 1/2-Step 990... Discriminator Loss: 1.8791... Generator Loss: 1.1141\n",
"Epoch 1/2-Step 1000... Discriminator Loss: 2.2623... Generator Loss: 0.6271\n"
]
},
{
"data": {
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D7C9/+QsAjz/+eBlnV5/EhbgC7LzzzkD0Eej5558H4J///GeVZlcettlmmzAe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\njW8YKcRufMNIIXbjG0YKsRvfMFLI/wMdsJa3sshUBgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbd336390>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 1010... Discriminator Loss: 1.5344... Generator Loss: 0.4333\n",
"Epoch 1/2-Step 1020... Discriminator Loss: 1.3361... Generator Loss: 1.1219\n",
"Epoch 1/2-Step 1030... Discriminator Loss: 2.0035... Generator Loss: 1.5471\n",
"Epoch 1/2-Step 1040... Discriminator Loss: 1.5246... Generator Loss: 0.7886\n",
"Epoch 1/2-Step 1050... Discriminator Loss: 2.2192... Generator Loss: 0.6574\n",
"Epoch 1/2-Step 1060... Discriminator Loss: 1.5182... Generator Loss: 1.3824\n",
"Epoch 1/2-Step 1070... Discriminator Loss: 2.7937... Generator Loss: 0.3068\n",
"Epoch 1/2-Step 1080... Discriminator Loss: 1.4752... Generator Loss: 0.8406\n",
"Epoch 1/2-Step 1090... Discriminator Loss: 1.8927... Generator Loss: 0.6407\n",
"Epoch 1/2-Step 1100... Discriminator Loss: 1.7118... Generator Loss: 0.6947\n"
]
},
{
"data": {
"image/png": 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TUWo+T19LiEgfYCtgMtA9hKC5mN8Hurfws1rkOuBMQCM71qTOcika\n+gILgT9kpy63i8iq1On9CSHMBzTX5QJgCWXMdenGvSIRkS7Aw8CpIYS84uch8xqui2USEdkP+DCE\nMLW9j6VMNAFbAzeHELYi4xqep9bX2f0pKddlIarZ8ecDvc3fLebpq1VEpDOZTn9vCGFsVvyBiPTI\nft4DqI0CaoXZCThAROaSKYwylMwcefVsGnWor3s0D5gXMhmjIJM1amvq9/7EXJchhP8Bebkus99p\n8/2pZsefAvTPWiVXJGOoeLSK+y+JbL7BO4CZIYRrzEePksk5CHWUezCEcE4IoVcIoQ+Ze/F/IYQj\nqdNciiGE94F3RURzYGtuyLq8P1Q612WVDRb7AP8G3gDObW8DSpHHvjMZNfEV4KXsv33IzIsnAnOA\nJ4E12vtY23BuuwHjsu0NgX8BrwMPAt9q7+Mr4jwGAy9k79GfgW71fH+A3wKzgOnA3cC3ynV/3HPP\ncRoQN+45TgPiHd9xGhDv+I7TgHjHd5wGxDu+4zQg3vEdpwHxju84DYh3fMdpQP4fF6/J2fRjgrkA\nAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbcd10eb8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 1110... Discriminator Loss: 1.8363... Generator Loss: 0.8679\n",
"Epoch 1/2-Step 1120... Discriminator Loss: 2.0464... Generator Loss: 0.4784\n",
"Epoch 1/2-Step 1130... Discriminator Loss: 1.6536... Generator Loss: 1.8249\n",
"Epoch 1/2-Step 1140... Discriminator Loss: 1.7578... Generator Loss: 0.5718\n",
"Epoch 1/2-Step 1150... Discriminator Loss: 2.8404... Generator Loss: 0.2328\n",
"Epoch 1/2-Step 1160... Discriminator Loss: 1.2185... Generator Loss: 1.2534\n",
"Epoch 1/2-Step 1170... Discriminator Loss: 1.5187... Generator Loss: 0.8082\n",
"Epoch 1/2-Step 1180... Discriminator Loss: 1.8224... Generator Loss: 0.7550\n",
"Epoch 1/2-Step 1190... Discriminator Loss: 1.5622... Generator Loss: 1.1450\n",
"Epoch 1/2-Step 1200... Discriminator Loss: 1.2265... Generator Loss: 1.1609\n"
]
},
{
"data": {
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NsIIahtFSJBnx1wXuy/9yrQDc7r2f5Jx7DrjLOfdT4G3ggPp10zCMWlJWJZ2q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\nAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbcbc7780>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 1210... Discriminator Loss: 1.4962... Generator Loss: 1.2880\n",
"Epoch 1/2-Step 1220... Discriminator Loss: 1.7215... Generator Loss: 0.9768\n",
"Epoch 1/2-Step 1230... Discriminator Loss: 1.8570... Generator Loss: 0.5593\n",
"Epoch 1/2-Step 1240... Discriminator Loss: 1.4478... Generator Loss: 1.3494\n",
"Epoch 1/2-Step 1250... Discriminator Loss: 2.1037... Generator Loss: 0.5527\n",
"Epoch 1/2-Step 1260... Discriminator Loss: 3.1092... Generator Loss: 0.1941\n",
"Epoch 1/2-Step 1270... Discriminator Loss: 1.6438... Generator Loss: 0.5245\n",
"Epoch 1/2-Step 1280... Discriminator Loss: 1.4956... Generator Loss: 0.9718\n",
"Epoch 1/2-Step 1290... Discriminator Loss: 2.0359... Generator Loss: 0.4613\n",
"Epoch 1/2-Step 1300... Discriminator Loss: 1.2851... Generator Loss: 2.5540\n"
]
},
{
"data": {
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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dc43f98d0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 1310... Discriminator Loss: 1.9794... Generator Loss: 1.2672\n",
"Epoch 1/2-Step 1320... Discriminator Loss: 1.5431... Generator Loss: 0.8462\n",
"Epoch 1/2-Step 1330... Discriminator Loss: 2.6111... Generator Loss: 2.0525\n",
"Epoch 1/2-Step 1340... Discriminator Loss: 1.8478... Generator Loss: 0.6593\n",
"Epoch 1/2-Step 1350... Discriminator Loss: 1.5591... Generator Loss: 2.2388\n",
"Epoch 1/2-Step 1360... Discriminator Loss: 2.0985... Generator Loss: 0.4223\n",
"Epoch 1/2-Step 1370... Discriminator Loss: 1.3647... Generator Loss: 0.6367\n",
"Epoch 1/2-Step 1380... Discriminator Loss: 1.2238... Generator Loss: 1.0516\n",
"Epoch 1/2-Step 1390... Discriminator Loss: 1.5150... Generator Loss: 1.1102\n",
"Epoch 1/2-Step 1400... Discriminator Loss: 1.0320... Generator Loss: 1.1787\n"
]
},
{
"data": {
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b5Zyb7ZwbkeS+y8U5t5lzbrxzbrpz7l3n3BlZeZNz7gXn3HvZ/xuq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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc864208>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 1410... Discriminator Loss: 2.0789... Generator Loss: 0.8383\n",
"Epoch 1/2-Step 1420... Discriminator Loss: 1.5342... Generator Loss: 0.8889\n",
"Epoch 1/2-Step 1430... Discriminator Loss: 2.1573... Generator Loss: 1.1052\n",
"Epoch 1/2-Step 1440... Discriminator Loss: 1.5579... Generator Loss: 0.6092\n",
"Epoch 1/2-Step 1450... Discriminator Loss: 2.5980... Generator Loss: 0.3473\n",
"Epoch 1/2-Step 1460... Discriminator Loss: 0.9412... Generator Loss: 1.3549\n",
"Epoch 1/2-Step 1470... Discriminator Loss: 1.5168... Generator Loss: 0.7796\n",
"Epoch 1/2-Step 1480... Discriminator Loss: 1.3101... Generator Loss: 1.2143\n",
"Epoch 1/2-Step 1490... Discriminator Loss: 1.7092... Generator Loss: 0.5636\n",
"Epoch 1/2-Step 1500... Discriminator Loss: 1.7458... Generator Loss: 0.9821\n"
]
},
{
"data": {
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Ws0/Pr5RUzvVA+54WUFNvNBCnb9++Uaaa1Ouvv16XPjUCaVWJ0q6ZfV21J5sM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\nmmsC0KdPnyizhkmttzhlypQ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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc8041d0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 1510... Discriminator Loss: 2.2684... Generator Loss: 0.5608\n",
"Epoch 1/2-Step 1520... Discriminator Loss: 1.9566... Generator Loss: 1.3383\n",
"Epoch 1/2-Step 1530... Discriminator Loss: 1.3982... Generator Loss: 1.3955\n",
"Epoch 1/2-Step 1540... Discriminator Loss: 1.6526... Generator Loss: 2.5369\n",
"Epoch 1/2-Step 1550... Discriminator Loss: 0.7793... Generator Loss: 1.4792\n",
"Epoch 1/2-Step 1560... Discriminator Loss: 2.7674... Generator Loss: 0.6169\n",
"Epoch 1/2-Step 1570... Discriminator Loss: 2.0942... Generator Loss: 0.9290\n",
"Epoch 1/2-Step 1580... Discriminator Loss: 2.5194... Generator Loss: 0.2785\n",
"Epoch 1/2-Step 1590... Discriminator Loss: 0.9844... Generator Loss: 0.9368\n",
"Epoch 1/2-Step 1600... Discriminator Loss: 1.6432... Generator Loss: 1.0269\n"
]
},
{
"data": {
"image/png": 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2A+ZglXQMo24pJstuB+D/AL8D8N7/03v/CVZJxzDqlmKCdHoCK4G7nHO7Aa8B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\nrkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc809f98>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 1610... Discriminator Loss: 1.9181... Generator Loss: 0.5161\n",
"Epoch 1/2-Step 1620... Discriminator Loss: 1.5031... Generator Loss: 2.0783\n",
"Epoch 1/2-Step 1630... Discriminator Loss: 0.6584... Generator Loss: 1.7617\n",
"Epoch 1/2-Step 1640... Discriminator Loss: 1.7910... Generator Loss: 1.2240\n",
"Epoch 1/2-Step 1650... Discriminator Loss: 1.6499... Generator Loss: 0.6987\n",
"Epoch 1/2-Step 1660... Discriminator Loss: 1.2733... Generator Loss: 0.7293\n",
"Epoch 1/2-Step 1670... Discriminator Loss: 1.4346... Generator Loss: 1.5883\n",
"Epoch 1/2-Step 1680... Discriminator Loss: 1.0651... Generator Loss: 0.8878\n",
"Epoch 1/2-Step 1690... Discriminator Loss: 2.7191... Generator Loss: 0.4455\n",
"Epoch 1/2-Step 1700... Discriminator Loss: 1.4566... Generator Loss: 0.8971\n"
]
},
{
"data": {
"image/png": 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1no977jlOE+LGPcdpQnzgO04T4gPfcZoQH/iO04T4wHecJsQHvuM0\nIT7wHacJ8YHvOE3I/wOs1BT5B7VAgAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbcab14e0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 1710... Discriminator Loss: 0.9720... Generator Loss: 1.2247\n",
"Epoch 1/2-Step 1720... Discriminator Loss: 1.5625... Generator Loss: 1.0967\n",
"Epoch 1/2-Step 1730... Discriminator Loss: 1.3570... Generator Loss: 1.2406\n",
"Epoch 1/2-Step 1740... Discriminator Loss: 0.9930... Generator Loss: 1.0665\n",
"Epoch 1/2-Step 1750... Discriminator Loss: 1.2531... Generator Loss: 1.1553\n",
"Epoch 1/2-Step 1760... Discriminator Loss: 1.6308... Generator Loss: 2.6386\n",
"Epoch 1/2-Step 1770... Discriminator Loss: 1.5074... Generator Loss: 2.9194\n",
"Epoch 1/2-Step 1780... Discriminator Loss: 1.1102... Generator Loss: 0.9617\n",
"Epoch 1/2-Step 1790... Discriminator Loss: 1.5774... Generator Loss: 0.8478\n",
"Epoch 1/2-Step 1800... Discriminator Loss: 1.6303... Generator Loss: 0.7241\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc6c1588>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 1810... Discriminator Loss: 1.4055... Generator Loss: 0.9881\n",
"Epoch 1/2-Step 1820... Discriminator Loss: 0.9379... Generator Loss: 1.4142\n",
"Epoch 1/2-Step 1830... Discriminator Loss: 1.2579... Generator Loss: 1.0808\n",
"Epoch 1/2-Step 1840... Discriminator Loss: 0.9951... Generator Loss: 1.7914\n",
"Epoch 1/2-Step 1850... Discriminator Loss: 1.2072... Generator Loss: 1.8785\n",
"Epoch 1/2-Step 1860... Discriminator Loss: 1.7810... Generator Loss: 0.9379\n",
"Epoch 1/2-Step 1870... Discriminator Loss: 1.6841... Generator Loss: 0.7043\n",
"Epoch 1/2-Step 1880... Discriminator Loss: 1.6064... Generator Loss: 0.4850\n",
"Epoch 1/2-Step 1890... Discriminator Loss: 1.9991... Generator Loss: 0.9446\n",
"Epoch 1/2-Step 1900... Discriminator Loss: 0.7067... Generator Loss: 2.2667\n"
]
},
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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc32acc0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 1910... Discriminator Loss: 1.0243... Generator Loss: 1.6444\n",
"Epoch 1/2-Step 1920... Discriminator Loss: 1.2215... Generator Loss: 1.3887\n",
"Epoch 1/2-Step 1930... Discriminator Loss: 1.6844... Generator Loss: 0.7205\n",
"Epoch 1/2-Step 1940... Discriminator Loss: 1.4666... Generator Loss: 0.9609\n",
"Epoch 1/2-Step 1950... Discriminator Loss: 2.2047... Generator Loss: 0.2255\n",
"Epoch 1/2-Step 1960... Discriminator Loss: 0.9293... Generator Loss: 1.8723\n",
"Epoch 1/2-Step 1970... Discriminator Loss: 1.9385... Generator Loss: 1.2363\n",
"Epoch 1/2-Step 1980... Discriminator Loss: 1.3688... Generator Loss: 1.4991\n",
"Epoch 1/2-Step 1990... Discriminator Loss: 1.4144... Generator Loss: 2.1793\n",
"Epoch 1/2-Step 2000... Discriminator Loss: 2.1385... Generator Loss: 1.0334\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc46d898>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 2010... Discriminator Loss: 1.8282... Generator Loss: 2.2538\n",
"Epoch 1/2-Step 2020... Discriminator Loss: 1.3680... Generator Loss: 1.4629\n",
"Epoch 1/2-Step 2030... Discriminator Loss: 1.2789... Generator Loss: 1.4095\n",
"Epoch 1/2-Step 2040... Discriminator Loss: 0.7795... Generator Loss: 1.7727\n",
"Epoch 1/2-Step 2050... Discriminator Loss: 1.8060... Generator Loss: 1.1282\n",
"Epoch 1/2-Step 2060... Discriminator Loss: 2.7817... Generator Loss: 0.3962\n",
"Epoch 1/2-Step 2070... Discriminator Loss: 1.3030... Generator Loss: 1.8516\n",
"Epoch 1/2-Step 2080... Discriminator Loss: 1.2551... Generator Loss: 2.0143\n",
"Epoch 1/2-Step 2090... Discriminator Loss: 1.1564... Generator Loss: 1.1777\n",
"Epoch 1/2-Step 2100... Discriminator Loss: 1.5885... Generator Loss: 0.5241\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc33b240>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 2110... Discriminator Loss: 1.3204... Generator Loss: 1.6334\n",
"Epoch 1/2-Step 2120... Discriminator Loss: 1.0556... Generator Loss: 1.4026\n",
"Epoch 1/2-Step 2130... Discriminator Loss: 1.1855... Generator Loss: 1.3955\n",
"Epoch 1/2-Step 2140... Discriminator Loss: 1.4678... Generator Loss: 2.5821\n",
"Epoch 1/2-Step 2150... Discriminator Loss: 1.8101... Generator Loss: 0.6262\n",
"Epoch 1/2-Step 2160... Discriminator Loss: 1.7871... Generator Loss: 1.3442\n",
"Epoch 1/2-Step 2170... Discriminator Loss: 1.3084... Generator Loss: 0.9783\n",
"Epoch 1/2-Step 2180... Discriminator Loss: 1.1878... Generator Loss: 1.0560\n",
"Epoch 1/2-Step 2190... Discriminator Loss: 1.4956... Generator Loss: 1.1276\n",
"Epoch 1/2-Step 2200... Discriminator Loss: 2.5187... Generator Loss: 0.3612\n"
]
},
{
"data": {
"image/png": 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EPmEptT6vCbTbSUdEZohIOv2xHMcpSTmq/lrAoyGEgfm/dyL34A+mQlVfRELa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\n+I6TQfzBd5wM4g++42QQf/AdJ4P8H5wMlalmAmQYAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db7ff4978>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 2210... Discriminator Loss: 1.3161... Generator Loss: 0.9862\n",
"Epoch 1/2-Step 2220... Discriminator Loss: 1.1794... Generator Loss: 1.5978\n",
"Epoch 1/2-Step 2230... Discriminator Loss: 1.7036... Generator Loss: 1.4239\n",
"Epoch 1/2-Step 2240... Discriminator Loss: 1.2739... Generator Loss: 1.7801\n",
"Epoch 1/2-Step 2250... Discriminator Loss: 1.1780... Generator Loss: 0.7900\n",
"Epoch 1/2-Step 2260... Discriminator Loss: 1.6259... Generator Loss: 0.6541\n",
"Epoch 1/2-Step 2270... Discriminator Loss: 1.0366... Generator Loss: 1.3761\n",
"Epoch 1/2-Step 2280... Discriminator Loss: 0.9188... Generator Loss: 1.4899\n",
"Epoch 1/2-Step 2290... Discriminator Loss: 1.3118... Generator Loss: 1.9320\n",
"Epoch 1/2-Step 2300... Discriminator Loss: 1.5558... Generator Loss: 1.8601\n"
]
},
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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc1f4198>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 2310... Discriminator Loss: 1.3513... Generator Loss: 1.1792\n",
"Epoch 1/2-Step 2320... Discriminator Loss: 1.1276... Generator Loss: 1.6514\n",
"Epoch 1/2-Step 2330... Discriminator Loss: 1.0582... Generator Loss: 1.3400\n",
"Epoch 1/2-Step 2340... Discriminator Loss: 1.0007... Generator Loss: 1.2159\n",
"Epoch 1/2-Step 2350... Discriminator Loss: 1.3421... Generator Loss: 0.4202\n",
"Epoch 1/2-Step 2360... Discriminator Loss: 0.9796... Generator Loss: 3.7176\n",
"Epoch 1/2-Step 2370... Discriminator Loss: 1.4807... Generator Loss: 0.4350\n",
"Epoch 1/2-Step 2380... Discriminator Loss: 0.9803... Generator Loss: 2.3177\n",
"Epoch 1/2-Step 2390... Discriminator Loss: 1.9081... Generator Loss: 0.8476\n",
"Epoch 1/2-Step 2400... Discriminator Loss: 1.4687... Generator Loss: 0.9120\n"
]
},
{
"data": {
"image/png": 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zbk3gEeBU7/0K/ZrP/AxXxTaJc24fYIn3/u1yn0tCtAB6A7d473uR\ncQ2PqPVVdn8KynVZH6Uc+AuBTurvWvP0VSrOuZZkBv147/2jWfFi51yH7OsdgCW1fb7C6Avs55yb\nS6YwSj8ya+Q22TTqUF33aAGwwGcyRkEma1Rvqvf+hFyX3vsfgEiuy+x7Gn1/Sjnw3wQ2yVolVyFj\nqHiihN9fENl8g3cAM7z3V6uXniCTcxCqKPeg9/4s731H731nMvfiRe/9/1CluRS9958B851zm2VF\nkhuyKu8Pxc51WWKDxV7AR8As4JxyG1AaeO47klETpwFTs//2IrMungR8DLwAtCv3uTbi2nYFnsq2\nuwL/BGYCDwE/K/f5NeA6egJvZe/RX4G21Xx/gAuAD4D3gLuBnyV1f8xzzzBSiBn3DCOF2MA3jBRi\nA98wUogNfMNIITbwDSOF2MA3jBRiA98wUogNfMNIIf8PYwwK3h0SBy8AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db7f6ce48>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 2410... Discriminator Loss: 1.1684... Generator Loss: 0.7956\n",
"Epoch 1/2-Step 2420... Discriminator Loss: 0.6919... Generator Loss: 1.3747\n",
"Epoch 1/2-Step 2430... Discriminator Loss: 0.8773... Generator Loss: 1.5710\n",
"Epoch 1/2-Step 2440... Discriminator Loss: 1.2435... Generator Loss: 2.3948\n",
"Epoch 1/2-Step 2450... Discriminator Loss: 0.8684... Generator Loss: 1.5118\n",
"Epoch 1/2-Step 2460... Discriminator Loss: 1.1518... Generator Loss: 0.8184\n",
"Epoch 1/2-Step 2470... Discriminator Loss: 0.7865... Generator Loss: 1.7250\n",
"Epoch 1/2-Step 2480... Discriminator Loss: 2.0862... Generator Loss: 0.6269\n",
"Epoch 1/2-Step 2490... Discriminator Loss: 0.7544... Generator Loss: 1.5364\n",
"Epoch 1/2-Step 2500... Discriminator Loss: 0.7736... Generator Loss: 2.7293\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc0bb6a0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 2510... Discriminator Loss: 1.6349... Generator Loss: 1.0930\n",
"Epoch 1/2-Step 2520... Discriminator Loss: 1.8854... Generator Loss: 0.6645\n",
"Epoch 1/2-Step 2530... Discriminator Loss: 1.5640... Generator Loss: 1.0977\n",
"Epoch 1/2-Step 2540... Discriminator Loss: 1.0245... Generator Loss: 1.7135\n",
"Epoch 1/2-Step 2550... Discriminator Loss: 0.8430... Generator Loss: 1.1761\n",
"Epoch 1/2-Step 2560... Discriminator Loss: 1.6688... Generator Loss: 0.8801\n",
"Epoch 1/2-Step 2570... Discriminator Loss: 0.8400... Generator Loss: 3.5527\n",
"Epoch 1/2-Step 2580... Discriminator Loss: 1.1897... Generator Loss: 2.6267\n",
"Epoch 1/2-Step 2590... Discriminator Loss: 1.3093... Generator Loss: 3.1767\n",
"Epoch 1/2-Step 2600... Discriminator Loss: 1.3642... Generator Loss: 1.4354\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db7b96d30>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 2610... Discriminator Loss: 0.9792... Generator Loss: 2.6876\n",
"Epoch 1/2-Step 2620... Discriminator Loss: 1.1148... Generator Loss: 1.1051\n",
"Epoch 1/2-Step 2630... Discriminator Loss: 0.9979... Generator Loss: 0.9700\n",
"Epoch 1/2-Step 2640... Discriminator Loss: 0.6082... Generator Loss: 1.9845\n",
"Epoch 1/2-Step 2650... Discriminator Loss: 1.0193... Generator Loss: 1.4141\n",
"Epoch 1/2-Step 2660... Discriminator Loss: 0.8010... Generator Loss: 1.6993\n",
"Epoch 1/2-Step 2670... Discriminator Loss: 0.9638... Generator Loss: 1.9727\n",
"Epoch 1/2-Step 2680... Discriminator Loss: 4.1851... Generator Loss: 5.9589\n",
"Epoch 1/2-Step 2690... Discriminator Loss: 1.0559... Generator Loss: 2.3036\n",
"Epoch 1/2-Step 2700... Discriminator Loss: 0.7456... Generator Loss: 3.0289\n"
]
},
{
"data": {
"image/png": 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wA3A7gPf+v977FVgnHcNILE2a+s653sBIYAYZbf8mcBqw2HvfLvs3Dvhcfm5k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\nYi++YaQQe/ENI4X8P7P/AFjXXucjAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db76f6198>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 2710... Discriminator Loss: 1.6097... Generator Loss: 0.8380\n",
"Epoch 1/2-Step 2720... Discriminator Loss: 0.7764... Generator Loss: 1.9949\n",
"Epoch 1/2-Step 2730... Discriminator Loss: 1.9236... Generator Loss: 0.5473\n",
"Epoch 1/2-Step 2740... Discriminator Loss: 1.0212... Generator Loss: 2.1570\n",
"Epoch 1/2-Step 2750... Discriminator Loss: 1.3450... Generator Loss: 3.2112\n",
"Epoch 1/2-Step 2760... Discriminator Loss: 1.0912... Generator Loss: 0.5948\n",
"Epoch 1/2-Step 2770... Discriminator Loss: 1.8577... Generator Loss: 1.2803\n",
"Epoch 1/2-Step 2780... Discriminator Loss: 1.6736... Generator Loss: 0.4892\n",
"Epoch 1/2-Step 2790... Discriminator Loss: 1.8356... Generator Loss: 0.4581\n",
"Epoch 1/2-Step 2800... Discriminator Loss: 1.1618... Generator Loss: 2.8949\n"
]
},
{
"data": {
"image/png": 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76bQBRgE7kCmxfTIwiyI76XjvLVkmD2lbs08CUr1JVxkaN25crXanLBSq8a8D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\npBCb+IaRQv4fW2nFxC7+c7wAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db7ce2e10>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 2810... Discriminator Loss: 0.8225... Generator Loss: 1.0229\n",
"Epoch 1/2-Step 2820... Discriminator Loss: 0.9250... Generator Loss: 2.2914\n",
"Epoch 1/2-Step 2830... Discriminator Loss: 0.7572... Generator Loss: 1.8686\n",
"Epoch 1/2-Step 2840... Discriminator Loss: 0.6191... Generator Loss: 1.5279\n",
"Epoch 1/2-Step 2850... Discriminator Loss: 1.2797... Generator Loss: 0.5229\n",
"Epoch 1/2-Step 2860... Discriminator Loss: 2.3627... Generator Loss: 0.4211\n",
"Epoch 1/2-Step 2870... Discriminator Loss: 2.2202... Generator Loss: 0.6415\n",
"Epoch 1/2-Step 2880... Discriminator Loss: 0.9318... Generator Loss: 2.2874\n",
"Epoch 1/2-Step 2890... Discriminator Loss: 1.1470... Generator Loss: 1.2436\n",
"Epoch 1/2-Step 2900... Discriminator Loss: 0.9684... Generator Loss: 1.6122\n"
]
},
{
"data": {
"image/png": 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YMcgkA0/aZoSGqOX9+WqSBuNe9+7dQ/u5554Donv3gwYNCu3vvvuupMeW4yTN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\nuZU8AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db7916400>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 2910... Discriminator Loss: 0.9839... Generator Loss: 1.8861\n",
"Epoch 1/2-Step 2920... Discriminator Loss: 0.6033... Generator Loss: 2.6670\n",
"Epoch 1/2-Step 2930... Discriminator Loss: 1.0567... Generator Loss: 1.3305\n",
"Epoch 1/2-Step 2940... Discriminator Loss: 1.3203... Generator Loss: 0.8143\n",
"Epoch 1/2-Step 2950... Discriminator Loss: 0.9820... Generator Loss: 1.9188\n",
"Epoch 1/2-Step 2960... Discriminator Loss: 1.8473... Generator Loss: 0.5898\n",
"Epoch 1/2-Step 2970... Discriminator Loss: 0.8452... Generator Loss: 1.5901\n",
"Epoch 1/2-Step 2980... Discriminator Loss: 1.1733... Generator Loss: 1.6805\n",
"Epoch 1/2-Step 2990... Discriminator Loss: 1.4451... Generator Loss: 4.1489\n",
"Epoch 1/2-Step 3000... Discriminator Loss: 1.5283... Generator Loss: 0.9003\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db77ff358>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 3010... Discriminator Loss: 1.0045... Generator Loss: 1.3305\n",
"Epoch 1/2-Step 3020... Discriminator Loss: 1.2027... Generator Loss: 0.6926\n",
"Epoch 1/2-Step 3030... Discriminator Loss: 1.4056... Generator Loss: 1.7993\n",
"Epoch 1/2-Step 3040... Discriminator Loss: 0.7977... Generator Loss: 2.2008\n",
"Epoch 1/2-Step 3050... Discriminator Loss: 0.9407... Generator Loss: 3.3201\n",
"Epoch 1/2-Step 3060... Discriminator Loss: 1.6828... Generator Loss: 1.4347\n",
"Epoch 1/2-Step 3070... Discriminator Loss: 0.9688... Generator Loss: 1.4361\n",
"Epoch 1/2-Step 3080... Discriminator Loss: 1.1253... Generator Loss: 1.6667\n",
"Epoch 1/2-Step 3090... Discriminator Loss: 1.3357... Generator Loss: 1.5047\n",
"Epoch 1/2-Step 3100... Discriminator Loss: 1.9671... Generator Loss: 1.1792\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db71ea9b0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 3110... Discriminator Loss: 0.7444... Generator Loss: 1.8457\n",
"Epoch 1/2-Step 3120... Discriminator Loss: 1.2955... Generator Loss: 1.3343\n",
"Epoch 1/2-Step 3130... Discriminator Loss: 1.9783... Generator Loss: 0.7650\n",
"Epoch 1/2-Step 3140... Discriminator Loss: 1.2794... Generator Loss: 1.7128\n",
"Epoch 1/2-Step 3150... Discriminator Loss: 0.9588... Generator Loss: 1.4020\n",
"Epoch 1/2-Step 3160... Discriminator Loss: 1.6277... Generator Loss: 0.9372\n",
"Epoch 1/2-Step 3170... Discriminator Loss: 0.7439... Generator Loss: 2.2052\n",
"Epoch 1/2-Step 3180... Discriminator Loss: 0.8528... Generator Loss: 1.7296\n",
"Epoch 1/2-Step 3190... Discriminator Loss: 0.9380... Generator Loss: 1.8576\n",
"Epoch 1/2-Step 3200... Discriminator Loss: 1.0516... Generator Loss: 1.7026\n"
]
},
{
"data": {
"image/png": 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fMDKI3fiGkUHsxjeMDGI3vmFkkP8HCgTKJUm05LQAAAAASUVORK5C\nYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db71b8ba8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 3210... Discriminator Loss: 1.1894... Generator Loss: 1.5121\n",
"Epoch 1/2-Step 3220... Discriminator Loss: 1.6376... Generator Loss: 0.7133\n",
"Epoch 1/2-Step 3230... Discriminator Loss: 0.9435... Generator Loss: 1.6021\n",
"Epoch 1/2-Step 3240... Discriminator Loss: 0.6321... Generator Loss: 1.9048\n",
"Epoch 1/2-Step 3250... Discriminator Loss: 1.5177... Generator Loss: 0.6432\n",
"Epoch 1/2-Step 3260... Discriminator Loss: 1.1988... Generator Loss: 1.5884\n",
"Epoch 1/2-Step 3270... Discriminator Loss: 0.8108... Generator Loss: 1.3113\n",
"Epoch 1/2-Step 3280... Discriminator Loss: 0.6272... Generator Loss: 2.3086\n",
"Epoch 1/2-Step 3290... Discriminator Loss: 0.8616... Generator Loss: 1.8550\n",
"Epoch 1/2-Step 3300... Discriminator Loss: 1.0116... Generator Loss: 2.2713\n"
]
},
{
"data": {
"image/png": 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KnQa1O0nkfEyaNCnI+vTpU9Jn9Xl7++23Aejfv3+QtaQJq0XuGYYRS6IVeJLi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\nDGIT3zAyiE18w8gg/w+RBW/tNvgaPQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db77e05c0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 3310... Discriminator Loss: 0.9675... Generator Loss: 1.0892\n",
"Epoch 1/2-Step 3320... Discriminator Loss: 1.7879... Generator Loss: 3.6830\n",
"Epoch 1/2-Step 3330... Discriminator Loss: 0.9832... Generator Loss: 1.2708\n",
"Epoch 1/2-Step 3340... Discriminator Loss: 0.9825... Generator Loss: 1.6189\n",
"Epoch 1/2-Step 3350... Discriminator Loss: 1.2052... Generator Loss: 2.5176\n",
"Epoch 1/2-Step 3360... Discriminator Loss: 0.8736... Generator Loss: 1.6014\n",
"Epoch 1/2-Step 3370... Discriminator Loss: 1.3317... Generator Loss: 0.8679\n",
"Epoch 1/2-Step 3380... Discriminator Loss: 1.8753... Generator Loss: 0.8683\n",
"Epoch 1/2-Step 3390... Discriminator Loss: 1.3497... Generator Loss: 1.1751\n",
"Epoch 1/2-Step 3400... Discriminator Loss: 1.9078... Generator Loss: 1.0901\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db7570c88>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 3410... Discriminator Loss: 0.8109... Generator Loss: 2.9047\n",
"Epoch 1/2-Step 3420... Discriminator Loss: 0.6065... Generator Loss: 2.0010\n",
"Epoch 1/2-Step 3430... Discriminator Loss: 0.5993... Generator Loss: 2.5057\n",
"Epoch 1/2-Step 3440... Discriminator Loss: 0.9897... Generator Loss: 1.7310\n",
"Epoch 1/2-Step 3450... Discriminator Loss: 0.9016... Generator Loss: 2.6209\n",
"Epoch 1/2-Step 3460... Discriminator Loss: 1.1423... Generator Loss: 1.5937\n",
"Epoch 1/2-Step 3470... Discriminator Loss: 0.5596... Generator Loss: 1.8234\n",
"Epoch 1/2-Step 3480... Discriminator Loss: 1.4996... Generator Loss: 0.9788\n",
"Epoch 1/2-Step 3490... Discriminator Loss: 0.9864... Generator Loss: 1.2390\n",
"Epoch 1/2-Step 3500... Discriminator Loss: 1.1743... Generator Loss: 1.9742\n"
]
},
{
"data": {
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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db7ac57f0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 3510... Discriminator Loss: 1.5141... Generator Loss: 1.1573\n",
"Epoch 1/2-Step 3520... Discriminator Loss: 1.3913... Generator Loss: 0.3091\n",
"Epoch 1/2-Step 3530... Discriminator Loss: 1.5702... Generator Loss: 0.9008\n",
"Epoch 1/2-Step 3540... Discriminator Loss: 0.5940... Generator Loss: 2.6815\n",
"Epoch 1/2-Step 3550... Discriminator Loss: 0.9067... Generator Loss: 1.8273\n",
"Epoch 1/2-Step 3560... Discriminator Loss: 0.6312... Generator Loss: 2.2397\n",
"Epoch 1/2-Step 3570... Discriminator Loss: 0.9396... Generator Loss: 2.2278\n",
"Epoch 1/2-Step 3580... Discriminator Loss: 2.0399... Generator Loss: 0.5491\n",
"Epoch 1/2-Step 3590... Discriminator Loss: 0.9086... Generator Loss: 0.8842\n",
"Epoch 1/2-Step 3600... Discriminator Loss: 1.4444... Generator Loss: 1.0543\n"
]
},
{
"data": {
"image/png": 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Tkm3n+++/B9I7T0Y6KFbjjwSe9N53BXoC72KddAwjtRRTZXcdYC/gHgDv/Q/e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\nGBnEbnzDyCB24xtGBvn/m572J1mNZacAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db76dfef0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 3610... Discriminator Loss: 0.5347... Generator Loss: 3.4708\n",
"Epoch 1/2-Step 3620... Discriminator Loss: 1.5718... Generator Loss: 0.7647\n",
"Epoch 1/2-Step 3630... Discriminator Loss: 0.8013... Generator Loss: 2.0245\n",
"Epoch 1/2-Step 3640... Discriminator Loss: 1.6968... Generator Loss: 2.3635\n",
"Epoch 1/2-Step 3650... Discriminator Loss: 0.6283... Generator Loss: 2.0152\n",
"Epoch 1/2-Step 3660... Discriminator Loss: 1.0592... Generator Loss: 1.0891\n",
"Epoch 1/2-Step 3670... Discriminator Loss: 0.5548... Generator Loss: 2.8192\n",
"Epoch 1/2-Step 3680... Discriminator Loss: 0.9127... Generator Loss: 1.8178\n",
"Epoch 1/2-Step 3690... Discriminator Loss: 2.0284... Generator Loss: 0.5596\n",
"Epoch 1/2-Step 3700... Discriminator Loss: 1.2324... Generator Loss: 1.1205\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db79075c0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/2-Step 3710... Discriminator Loss: 1.1957... Generator Loss: 2.9403\n",
"Epoch 1/2-Step 3720... Discriminator Loss: 1.4918... Generator Loss: 0.9780\n",
"Epoch 1/2-Step 3730... Discriminator Loss: 0.8119... Generator Loss: 3.1082\n",
"Epoch 1/2-Step 3740... Discriminator Loss: 1.2655... Generator Loss: 1.1769\n",
"Epoch 1/2-Step 3750... Discriminator Loss: 1.7132... Generator Loss: 1.4216\n",
"Epoch 2/2-Step 3760... Discriminator Loss: 0.9273... Generator Loss: 1.4539\n",
"Epoch 2/2-Step 3770... Discriminator Loss: 0.6323... Generator Loss: 3.1133\n",
"Epoch 2/2-Step 3780... Discriminator Loss: 0.8319... Generator Loss: 2.0285\n",
"Epoch 2/2-Step 3790... Discriminator Loss: 1.2167... Generator Loss: 2.7195\n",
"Epoch 2/2-Step 3800... Discriminator Loss: 0.6840... Generator Loss: 2.4182\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db7a5fb70>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 3810... Discriminator Loss: 0.8050... Generator Loss: 1.9574\n",
"Epoch 2/2-Step 3820... Discriminator Loss: 0.8091... Generator Loss: 1.1413\n",
"Epoch 2/2-Step 3830... Discriminator Loss: 1.0711... Generator Loss: 1.4569\n",
"Epoch 2/2-Step 3840... Discriminator Loss: 0.8343... Generator Loss: 2.4736\n",
"Epoch 2/2-Step 3850... Discriminator Loss: 0.9920... Generator Loss: 1.6217\n",
"Epoch 2/2-Step 3860... Discriminator Loss: 0.8220... Generator Loss: 2.2878\n",
"Epoch 2/2-Step 3870... Discriminator Loss: 1.2535... Generator Loss: 2.0134\n",
"Epoch 2/2-Step 3880... Discriminator Loss: 0.8582... Generator Loss: 2.1332\n",
"Epoch 2/2-Step 3890... Discriminator Loss: 2.4133... Generator Loss: 3.6196\n",
"Epoch 2/2-Step 3900... Discriminator Loss: 1.5483... Generator Loss: 0.9423\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc4e4e10>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 3910... Discriminator Loss: 0.7256... Generator Loss: 1.6172\n",
"Epoch 2/2-Step 3920... Discriminator Loss: 1.0606... Generator Loss: 1.3935\n",
"Epoch 2/2-Step 3930... Discriminator Loss: 0.6840... Generator Loss: 1.4029\n",
"Epoch 2/2-Step 3940... Discriminator Loss: 1.5648... Generator Loss: 0.4768\n",
"Epoch 2/2-Step 3950... Discriminator Loss: 1.8569... Generator Loss: 1.3834\n",
"Epoch 2/2-Step 3960... Discriminator Loss: 1.1159... Generator Loss: 3.2792\n",
"Epoch 2/2-Step 3970... Discriminator Loss: 0.6805... Generator Loss: 2.0604\n",
"Epoch 2/2-Step 3980... Discriminator Loss: 1.4394... Generator Loss: 0.6645\n",
"Epoch 2/2-Step 3990... Discriminator Loss: 0.6373... Generator Loss: 2.3259\n",
"Epoch 2/2-Step 4000... Discriminator Loss: 1.8258... Generator Loss: 1.6766\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db7f93d30>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 4010... Discriminator Loss: 2.5978... Generator Loss: 4.1080\n",
"Epoch 2/2-Step 4020... Discriminator Loss: 0.8558... Generator Loss: 1.7508\n",
"Epoch 2/2-Step 4030... Discriminator Loss: 1.1174... Generator Loss: 1.3364\n",
"Epoch 2/2-Step 4040... Discriminator Loss: 0.5710... Generator Loss: 2.5279\n",
"Epoch 2/2-Step 4050... Discriminator Loss: 0.5763... Generator Loss: 2.4129\n",
"Epoch 2/2-Step 4060... Discriminator Loss: 0.6498... Generator Loss: 3.9780\n",
"Epoch 2/2-Step 4070... Discriminator Loss: 0.8375... Generator Loss: 1.0327\n",
"Epoch 2/2-Step 4080... Discriminator Loss: 0.7236... Generator Loss: 2.0829\n",
"Epoch 2/2-Step 4090... Discriminator Loss: 1.0059... Generator Loss: 1.5619\n",
"Epoch 2/2-Step 4100... Discriminator Loss: 2.6371... Generator Loss: 0.4754\n"
]
},
{
"data": {
"image/png": 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MOntr8/HHHwPwk5/8JOp0n96mgu+4445RfvLJTAZ8pfpTuMV3nBRSdotfbkuv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\nF77jpJD/A2gIQAB1ZLMzAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc30c2b0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 4110... Discriminator Loss: 0.8128... Generator Loss: 2.5129\n",
"Epoch 2/2-Step 4120... Discriminator Loss: 0.8923... Generator Loss: 1.5166\n",
"Epoch 2/2-Step 4130... Discriminator Loss: 0.8151... Generator Loss: 2.2795\n",
"Epoch 2/2-Step 4140... Discriminator Loss: 1.4754... Generator Loss: 4.0093\n",
"Epoch 2/2-Step 4150... Discriminator Loss: 0.8900... Generator Loss: 0.7977\n",
"Epoch 2/2-Step 4160... Discriminator Loss: 0.8838... Generator Loss: 2.2693\n",
"Epoch 2/2-Step 4170... Discriminator Loss: 1.5833... Generator Loss: 2.0589\n",
"Epoch 2/2-Step 4180... Discriminator Loss: 1.2953... Generator Loss: 2.0012\n",
"Epoch 2/2-Step 4190... Discriminator Loss: 1.0730... Generator Loss: 1.3989\n",
"Epoch 2/2-Step 4200... Discriminator Loss: 1.3883... Generator Loss: 2.0992\n"
]
},
{
"data": {
"image/png": 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37x919hqbMmVKPV2t4yu+42QQn/iOk0HavKmvIbu2aGdjbLDBBkBxgkrSeydV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\nAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbcc58f60>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 4210... Discriminator Loss: 1.0157... Generator Loss: 4.1873\n",
"Epoch 2/2-Step 4220... Discriminator Loss: 0.8365... Generator Loss: 1.9523\n",
"Epoch 2/2-Step 4230... Discriminator Loss: 0.6131... Generator Loss: 2.5284\n",
"Epoch 2/2-Step 4240... Discriminator Loss: 1.1748... Generator Loss: 1.3751\n",
"Epoch 2/2-Step 4250... Discriminator Loss: 0.6887... Generator Loss: 2.5840\n",
"Epoch 2/2-Step 4260... Discriminator Loss: 0.5632... Generator Loss: 3.1034\n",
"Epoch 2/2-Step 4270... Discriminator Loss: 0.7161... Generator Loss: 2.7014\n",
"Epoch 2/2-Step 4280... Discriminator Loss: 0.9079... Generator Loss: 3.0261\n",
"Epoch 2/2-Step 4290... Discriminator Loss: 0.8594... Generator Loss: 2.3147\n",
"Epoch 2/2-Step 4300... Discriminator Loss: 0.7226... Generator Loss: 2.9783\n"
]
},
{
"data": {
"image/png": 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zd/fdd1/ttdb8rKXXuZxEDBuKu2zZMqDYrFRv+3PPPRdl9957bxx/9NFHAOy/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\n4TtOBvGF7zgZxBe+42SQ/w+3Xq2OT5mE7gAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc8162b0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 4310... Discriminator Loss: 0.7103... Generator Loss: 1.5627\n",
"Epoch 2/2-Step 4320... Discriminator Loss: 0.8324... Generator Loss: 1.3744\n",
"Epoch 2/2-Step 4330... Discriminator Loss: 1.1705... Generator Loss: 0.9826\n",
"Epoch 2/2-Step 4340... Discriminator Loss: 1.2036... Generator Loss: 3.3336\n",
"Epoch 2/2-Step 4350... Discriminator Loss: 0.5394... Generator Loss: 1.9205\n",
"Epoch 2/2-Step 4360... Discriminator Loss: 1.0280... Generator Loss: 1.7976\n",
"Epoch 2/2-Step 4370... Discriminator Loss: 1.0513... Generator Loss: 1.0484\n",
"Epoch 2/2-Step 4380... Discriminator Loss: 0.6092... Generator Loss: 1.4064\n",
"Epoch 2/2-Step 4390... Discriminator Loss: 0.7810... Generator Loss: 2.4568\n",
"Epoch 2/2-Step 4400... Discriminator Loss: 0.7146... Generator Loss: 1.3537\n"
]
},
{
"data": {
"image/png": 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CWKk/XMuuvq3H1zbIBxyQi1d+73vfA3Lde8qF7+NXFy24mTp1atRpodcHH3wQdUOHDo3y\n5MmTm/161q3XkeO2d4Qdc14sxezjFzNJ520yo7GX188EdmzyUTmOU3U8ZddxUkjdt95aGTb9c/To\n0VE+66yzgPya6969ewPw3HPPlfWY0uri21stvQb2WugOS7lnGWjfhg4dOkTdggWZuPXWW28ddS0d\nDKrFanfeeWfU6a3EiSee2KLnLga3+I6TQlJp8du2bQvAb3/726g77LDDoqyW3lqcbbfdFoDnn38+\n6tJqnQthLbbtRGP3wxW9vnZE94475sJFW2yRSROx++Pa7NSOnS4H7du3B/Jbr2+//fZAacd/a2v2\nvn1z4bOLLroIqEyuglt8x0khvvAdJ4WkxtVfb731ovzAAw8AMGDAgKizrqpi91h33XVXIP/2oFZc\nfQ1S7r///lF3yimnALnbGoC5c+dG+a233gJg2rRpUaejwhcuXBh19hy1y40GOgF22203AEaNyhVn\ndurUKcqFho0qDbm0et21SxPAmDFjGnyeUqLNMS+55JKoW7p0aUme26aAH3HEEUD+Pr19L8qNW3zH\nSSF1PztPxxQ/9NBDUafWu1C/P6u3v3/xxReBnIVb/jHVRLeGXnjhhajTWX+FPBnIHbs9B5V1khDk\nb3kWKl5qSbmqfW0byNNpRUOGDFnhb0tlfRtCz9Gui1KtEc3MA3jqqacAuP3226PuzDPPLMnrec89\nx3EK4gvfcVJIXQb37LSVM844A4BBgwZFnbqntoW17hMDbLPNNuU+xJKiU4D23XffqNN8gw03zPVH\nsW6/ytaVV7RQpblYF16vsZ1UpPvhthhF97AhV+tuXd5KdcAp9e2bveYacIXcrc3dd98ddZW87XaL\n7zgpxBe+46SQunH1rcuq6bUAp556KpDvcqmbdfLJJ0eddYm1GKOhoZq1yrx586K82WabAfm3LcOG\nDYvyLrvsAuTnN3Ts2BHIv1Wyk2v0GluXVN12m85q69bV1Z8yZUrUPfnkkwBMmDAh6horvqmVnImm\n0rNnzyjvs88+UdbCn+nTp1f8mMAtvuOkkrqx+Lbg4/zzz4+y7uNbi6EW549//GPUdevWLcrnnXce\nkG/5NOstKZZHLejrr78edVYulKugsvWOCu3j2+Cf5kRcccUVUbfVVltFWS2+LWdWS1/uEttqop+d\nX//611Gn+RYAN9xwA1Dawp+mULTFz7bYfkNEJmR/9kk6jpNQmuLqn0qmyabik3QcJ6EU5eqLSFdg\nX+AXwE8l4xPuCYzM/snvgYuAylRSFEBruAF23333KKv7at3Kyy67DICvv/466pYsWRJl7aFvU1Nt\nfXY9UKjLjWLTZ+11U/f1Bz/4QdTdfPPNQL4ba/fCNT/C3grUq4tvb5EOP/xwAPbaa6+os7MZxo0b\nB1Qv7btYi/8b4CxAj7IDPknHcRJLoxZfRIYCH4YQXhOR3Zv6AuWepKMW3RbP2C0oRbdPIBfkstbO\nWiEtUrG/L3dxSK2y5pprRvnBBzOjEzSgB7ngny3smThxYpT3228/oHltopPGuuuuG2XNRLTdiGxZ\n9Pz58yt2XIUoxtUfCOwvIkOA1YG1gWvITtLJWn2fpOM4CaKYabnnhhC6hhC6A4cCT4cQDscn6ThO\nYmnJPv7ZwDgR+TmZSTq3lOaQmoc2RIT8vWd1QY899tioa8ztLJShNnv27BV0acC2lNbbKXt99RZp\n/PjxUaeNJCG/i069oreb/fv3j7ouXbqs8HcvvfRSlG1guRo0aeGHEJ4Fns3KPknHcRKKp+w6TgpJ\nfMquut4NFdGoS/Xyyy+v9HnsHqw2iLT7rtoOKm1Yt77QQM9//OMfAJxwwglRlwb33qLXaOTIkSvo\nLLfddluUq33L6BbfcVJI4i2+YgtzbPnpxx9/DDQeTOnTp0+UNWNv8eLFUbdo0aKSHGfSsJ5QIYt/\n2mmnAcmx8vrebr755lE3Z86cKBcK/Kr1btOmTdTZvA9tJ27Hquu1svkNtkiq2rjFd5wU4gvfcVJI\n3bj6dvrLJptsEuV27doBjRdD/OIXv1hBZ1NPv/rqq5YeYiLp16/fCjpbxPP+++9X8nBazPHHHw/k\nv986QQhyt4mfffZZ1OnobDt5SSfu2OfS3g+Wd999N8q19Blyi+84KaRuLL7FBppWFnSyc+XsPDgN\n3DzyyCNRZ61cvWPLkU8//fQoF+rQY4t4ahW7tabnY9/77t27R1l7Fdrfq5dgvR/bq9B2alqeZcuW\nRblHjx5R1v6I1crgc4vvOCnEF77jpJC6dPWLxQYBrbumDRD/9re/RV21M61KTaE9edXZ2x7r0hai\nc+fOQP5UnFrDvrfaQtxiR3mPGDECyHfr9XpY979Qk9JCn5Gddtopyg8//HCUNcuvWhmhbvEdJ4X4\nwnecFJJKV19dMzuv3EZ+NT3X5gbUA7ZGXCfs2Cai2tPApj83NkBTW2u98sorUVftWvPlsbsUms9h\n3XK7M6EuuE3P1WvQ0ODOQi6+6mbNmhV1O++8c5RttL8auMV3nBRSbHvt2cBnwH+Bb0II/UWkPXAP\n0B2YDRwSQmi0I+XKAiGVQq27HZ1t96Y126rWLFdzsJ7MqFG50QdHH300kAvOQa4xZGMjqe1z6vzB\nTTfdNOouvvjiKGtWnC1WqTT2vdWmqTbLzjbEtHKxqBdhS8O1C5G20YbaChA3xeLvEULoE0LQ/kLn\nAE+FEHoBT2V/dhwnAbTE1R9GZpAG2f8PWMnfOo5TQxQb3AvA49m++Ddme+WvH0LQ6NciYP3GnmSV\nVVaJQRPtblMNF1CPwQZbLM888wxQH2m61r189NFHo9y1a1cADjzwwKhrLIhV6Dk1cDZw4MCoGzx4\ncJRtAUy1sGnbw4cPB+DWW2+Nul69ekVZz8e+9zr40xbuvP3221G+9tprgfzBoNW8tSmGYhf+LiGE\nBSKyHvCEiLxrfxlCCA0NyxCR0cDorNyig3UcpzRIUwMOInIR8C/gOGD3EMJCEekCPBtC2Hxlj11l\nlVWCZklVc37aBhtsAOR/a9ttK93mmzlzZmUPrArYL2PtJHPKKadEnZ39plZwypQpUaeFTOolQb5l\nTAL2GtRSAK65hBAatbCN3uOLyJoispbKwPeBycBDZAZpgA/UcJxEUYyrvz7wp+y3YmvgjyGEx0Rk\nEnCviIwC5gCHlO8wHccpJU129Vv0YiKhWvv41p3T7KyxY8dGnW2sqVltWqzjOEmiJK6+4zj1hy98\nx0khFXf1K/Ziy2HTNrVYxaZnaiskqI9UXSe9uKvvOE5B6t7iF2oQqedsz70e9m8dB9ziO47TAL7w\nHSeFVLwDj9Zyt6QAxu7J6/PZLis2/VbrrtdZZ52o0+aLVmddfW0caeurdU+/3IU7euw2wJi025By\npsBqujXkT0fSVHDbUUgn1zQ2Ramc2GthbzeVahWCucV3nBRS0eBeq1atgvY303HESbNm5UY9l2oW\nMdUytj22dtOB3Oeomta9mlhP2oN7juMUxBe+46SQ1BTpOPWBnXpT611uqoW7+o7jFMQXvuOkkIrv\n47uL77SEtEbtS41bfMdJIcVO0mkH3AxsTabV9jHANJoxSSdJ2KwrzQC0FkdzEZzKkWSLbzP3tCTc\nZpl+8cUXQH4OR7nOt1iLfw3wWAhhC2A7YCo+ScdxEksxXXbXAXYFbgEIIXwdQliGT9JxnMRSjKvf\nA1gC3CYi2wGvAafSjEk6SUFdshEjRkRd9+7dAfjd735XjUNyEoC9Ndx4440BOO6446Juhx12iPJG\nG20EwHrrrRd1mnZrC43sjAOdYVAK978YV781sD0wJoTQF/ic5dz6kAnVNzhJR0ReFZFXW3qwjuOU\nhmIs/nxgfghhYvbn+8ks/MUi0sVM0vmw0IOzc/bGQnV77jWGDbwcfPDBAOy5555Rd9pppwHlb7md\n1MzGhspP1YpZK6Vy0gJ19hxtUE7nEB5++OFRt99++wGw7rrrRp2dMLRkyRIAPvjgg6jT6zF16tSo\n05HtpaZRix9CWATMExEdj7UX8A4+ScdxEkuxCTynAHeJyGrATOBoMl8aPknHcRJI3TfbXBnqhgL8\n6Ec/ivK+++4LwNFHHx11ad2zL+S2r7322lGn/RU22WSTqLOy9hewAavZs2cD8NZbb0WddsupRXSY\n6I477hh1OuYdYPLkyUD+baAWENk9edttp5zrzot0HMcpSMVz9WsBDdJsueWWUTds2LAon3rqqUB9\nW3m1xLrtBDB8+HAABg0aFHX9+vWLsvYo1J6FkLuWDfXZUytnr+Wtt94KwJtvvtnCsygfdtjKr371\nKwDeeOONqLvxxhujbK1/UnCL7zgpxBe+46SQ1Lj6Nki10047AXDXXXdF3dtvvx3lhQsXUi8UyiYD\nOOmkk4D87MT1188kX9qgp338ynTWvbe/1445bdu2jbpXXnkFqE0XWY/9rLPOirptt912BV0tHntT\ncIvvOCnEF77jpJC6d/U1en3xxRdH3emnnw7kN25s3759lH/6058C8Jvf/Cbqkuba6a1N3759o+7K\nK6+Mcv/+/YH86LVi957t3rRNOVV0D/u9996LugMOyBVqduvWDci/fi+//HKRZ1F59HbI5nU8/fTT\nAHz88cdVOaZy4BbfcVJIXVr8NdZYI8p//vOfgfy96VdfzRQK3nDDDVF3ySWXRPnCCy8E4Msvv4y6\na6+9tjwHW0JsAPPAAw8E4Iorrog6tb6QC2JZS6xBTfV4AF577bUo61689Qg0Q03LTO1rQ24fX0tK\nIb8wpda49NJLgfzPkJZiJ62oaGW4xXecFOIL33FSSN24+rY++q9//WuUtbBi4sSJUbfHHnsA+a6b\n3Xu+5ZZbADjhhBO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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc5af6d8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 4410... Discriminator Loss: 1.7961... Generator Loss: 1.2303\n",
"Epoch 2/2-Step 4420... Discriminator Loss: 1.0087... Generator Loss: 2.6644\n",
"Epoch 2/2-Step 4430... Discriminator Loss: 1.1209... Generator Loss: 2.0010\n",
"Epoch 2/2-Step 4440... Discriminator Loss: 1.7087... Generator Loss: 3.2714\n",
"Epoch 2/2-Step 4450... Discriminator Loss: 0.8297... Generator Loss: 1.1483\n",
"Epoch 2/2-Step 4460... Discriminator Loss: 0.9406... Generator Loss: 3.2302\n",
"Epoch 2/2-Step 4470... Discriminator Loss: 1.4158... Generator Loss: 0.9934\n",
"Epoch 2/2-Step 4480... Discriminator Loss: 0.6997... Generator Loss: 2.7613\n",
"Epoch 2/2-Step 4490... Discriminator Loss: 1.0477... Generator Loss: 2.3829\n",
"Epoch 2/2-Step 4500... Discriminator Loss: 0.9892... Generator Loss: 1.7170\n"
]
},
{
"data": {
"image/png": 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JYvT885//HGTr1q0rej/LNTPKPaHPi4QZ63v3V7/6VWjH3dNSgUhXSdIhxS+/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\nAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbcf4c780>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 4510... Discriminator Loss: 1.6809... Generator Loss: 4.9071\n",
"Epoch 2/2-Step 4520... Discriminator Loss: 0.8174... Generator Loss: 1.7120\n",
"Epoch 2/2-Step 4530... Discriminator Loss: 0.5889... Generator Loss: 3.8659\n",
"Epoch 2/2-Step 4540... Discriminator Loss: 0.6366... Generator Loss: 1.8449\n",
"Epoch 2/2-Step 4550... Discriminator Loss: 0.6644... Generator Loss: 3.2493\n",
"Epoch 2/2-Step 4560... Discriminator Loss: 0.7319... Generator Loss: 3.4059\n",
"Epoch 2/2-Step 4570... Discriminator Loss: 1.6027... Generator Loss: 0.6539\n",
"Epoch 2/2-Step 4580... Discriminator Loss: 0.8634... Generator Loss: 1.0770\n",
"Epoch 2/2-Step 4590... Discriminator Loss: 0.8624... Generator Loss: 1.3737\n",
"Epoch 2/2-Step 4600... Discriminator Loss: 0.5867... Generator Loss: 1.8046\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbd1dd208>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 4610... Discriminator Loss: 1.1267... Generator Loss: 2.4996\n",
"Epoch 2/2-Step 4620... Discriminator Loss: 0.7398... Generator Loss: 3.9589\n",
"Epoch 2/2-Step 4630... Discriminator Loss: 1.1008... Generator Loss: 3.0764\n",
"Epoch 2/2-Step 4640... Discriminator Loss: 1.9842... Generator Loss: 0.8261\n",
"Epoch 2/2-Step 4650... Discriminator Loss: 0.6369... Generator Loss: 3.2500\n",
"Epoch 2/2-Step 4660... Discriminator Loss: 0.8727... Generator Loss: 1.3971\n",
"Epoch 2/2-Step 4670... Discriminator Loss: 0.5712... Generator Loss: 1.7606\n",
"Epoch 2/2-Step 4680... Discriminator Loss: 0.9897... Generator Loss: 1.4680\n",
"Epoch 2/2-Step 4690... Discriminator Loss: 0.7763... Generator Loss: 1.7340\n",
"Epoch 2/2-Step 4700... Discriminator Loss: 0.7342... Generator Loss: 2.0838\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbd1eeb38>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 4710... Discriminator Loss: 1.3577... Generator Loss: 1.7229\n",
"Epoch 2/2-Step 4720... Discriminator Loss: 0.5806... Generator Loss: 3.3829\n",
"Epoch 2/2-Step 4730... Discriminator Loss: 0.8749... Generator Loss: 1.0274\n",
"Epoch 2/2-Step 4740... Discriminator Loss: 1.3508... Generator Loss: 2.4017\n",
"Epoch 2/2-Step 4750... Discriminator Loss: 0.7190... Generator Loss: 2.2952\n",
"Epoch 2/2-Step 4760... Discriminator Loss: 0.9876... Generator Loss: 3.0151\n",
"Epoch 2/2-Step 4770... Discriminator Loss: 2.9583... Generator Loss: 0.4921\n",
"Epoch 2/2-Step 4780... Discriminator Loss: 0.5907... Generator Loss: 1.9550\n",
"Epoch 2/2-Step 4790... Discriminator Loss: 0.5692... Generator Loss: 1.6081\n",
"Epoch 2/2-Step 4800... Discriminator Loss: 1.0259... Generator Loss: 0.6609\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db714b6a0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 4810... Discriminator Loss: 2.0318... Generator Loss: 0.4954\n",
"Epoch 2/2-Step 4820... Discriminator Loss: 1.2075... Generator Loss: 1.6561\n",
"Epoch 2/2-Step 4830... Discriminator Loss: 0.6910... Generator Loss: 2.5186\n",
"Epoch 2/2-Step 4840... Discriminator Loss: 0.6184... Generator Loss: 2.7840\n",
"Epoch 2/2-Step 4850... Discriminator Loss: 0.8373... Generator Loss: 2.0886\n",
"Epoch 2/2-Step 4860... Discriminator Loss: 0.6483... Generator Loss: 1.9491\n",
"Epoch 2/2-Step 4870... Discriminator Loss: 0.7256... Generator Loss: 2.9973\n",
"Epoch 2/2-Step 4880... Discriminator Loss: 0.6956... Generator Loss: 2.6425\n",
"Epoch 2/2-Step 4890... Discriminator Loss: 1.1275... Generator Loss: 4.1734\n",
"Epoch 2/2-Step 4900... Discriminator Loss: 1.4497... Generator Loss: 1.6510\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db6bb66a0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 4910... Discriminator Loss: 1.2242... Generator Loss: 1.9881\n",
"Epoch 2/2-Step 4920... Discriminator Loss: 1.4209... Generator Loss: 1.2964\n",
"Epoch 2/2-Step 4930... Discriminator Loss: 1.1311... Generator Loss: 1.5902\n",
"Epoch 2/2-Step 4940... Discriminator Loss: 0.7357... Generator Loss: 3.3282\n",
"Epoch 2/2-Step 4950... Discriminator Loss: 0.6916... Generator Loss: 2.8701\n",
"Epoch 2/2-Step 4960... Discriminator Loss: 0.6660... Generator Loss: 3.8739\n",
"Epoch 2/2-Step 4970... Discriminator Loss: 0.6230... Generator Loss: 2.3669\n",
"Epoch 2/2-Step 4980... Discriminator Loss: 1.0523... Generator Loss: 2.5116\n",
"Epoch 2/2-Step 4990... Discriminator Loss: 0.9139... Generator Loss: 1.0435\n",
"Epoch 2/2-Step 5000... Discriminator Loss: 0.8021... Generator Loss: 3.0711\n"
]
},
{
"data": {
"image/png": 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kfSr398nsb7N80xk6dCgAAwYMCLLTTz8dgFdeeSXIKuWlV8oZfxjwkve+K5k0\nXNOxSjqGkVgKybK7EbAfMALAe/9v7/1KrJKOYSSWvKq+c64HMBz4mMxsPxm4AFhY6ko65USr9V26\nZNL/33PPPUG2yy67hLYYaxYsWBBkhx56KACzZs0qaz+NZCBlsAG++uorILpcHD16NADnn39+kGn/\nlHIu5Uql6q8F7ALc5b3vCXzLamq9z5xFvZV0nHPvOefei3vfMIzKU4jn3gJggfd+Yvb1aDIP/hLn\nXDtVSWdp3Ie998PJaAxVmfHXXXddAG644YYgO/PMM4FoiKfe6hK23nrr0P7oo48AeOutt4LskEMO\nAUrrXdiQcS+uZLhRHc4444zQlvLh2ngns7u+Tvoea6jkeyXIO+N77xcD851zUh6rHxm13yrpGEZC\nKdRX/1fAw865dYC5wGlkfjSsko5hJJA1Mr32RhttFNojR44E4KCDDgoyUf81cSqXVs3iVHBR/7Vh\nsKn+CYWq+pqGrqH+TKFLBf132oi12WabAbklDkDnzp2BqIfa008/HdrTpk0D1oyMQvp++PTTT0O7\nQ4cOAKxcuTLIfve73wHRfXw9lj/96U8B2H333YNsgw02AODzzz8Psquuuiq0Z8+eDeRfEpjnnmEY\nsawxM77eShk+fHhoizeVTsss3mp6u+6hhx4KbfnFPe6444JMwod1Nh2ZxU477bQgGzVqVJ3vKRX6\nuzt16hTaW2yxBRA9H9liqs94JH3Xx5RQ6SOOOCLIDjvssNDu1q0bENWoJLZAawn6vKVPemZbvnx5\nfadY02y77bah/fHHH9d5X993UjtPn6u+B7t27QpA9+7dg0xiVN5+++0g++KLL0K70PvJZnzDMGKx\nB98wUkjiVX1RMYcNGxZkgwcPDm0xqOjEjHvttRcQr65BTv3t3bt3kI0ZMwbIJcOEnOo1YsSIIPvF\nL34R2qUORNJGtccffzy0ZZnzzTffBJmo2BLqDLnsPgCtWmWcLPWSQVR4rVJKUlTIjaG+ZyRsWpKo\nQs5IBbmlwLJly4Js550zVdd1+HUtI0a9Z5/N7VgffPDBoS0GzGOOOSbIREXX94DVzjMMo6rYg28Y\nKSTxRTP79+8P5NxwIWo9FXT+ftl/rw/Z57/wwguDTNRprQaL+nrbbbcFWTn28WW5cvfddwdZy5Yt\nQ1v+VqvYYjWO80XQ6P7OmzcPiKq0ejkkywYdqCTqut6jvvrqq0P7vPPOA6BNmzZBNmjQICC6PKtl\nZNekV6/2TgblAAALp0lEQVReQab9EiRJrF5WxVXxqSVsxjeMFJLIGV/PXLJfGueNp5k0aVKD78se\nNcDYsWMBaNeuXZ2/0wap448/HoCZM2fm6XHTaN26NZDznIPoTCJBQlqTkRlHPOsgqhHIZ+66664g\ni5uB9Z695EnU4aVxORFfeOGF0JYZX2tKkydPrvOZWkaus9aydKUjmfG1cbVWZ3rBZnzDSCH24BtG\nCkmkqq+JM+TFBaMccMABQSb7rjvttFOQvf7666HdokWLOscUF9hTTjklyN58883Id5QLOb6O+5f9\ncYD33svkODn55JODbNWqVUA0p4Co3ZBzz9V7+3JueokzYcKE0H7ppZfq9EPQY67dUAW9HJo4cWKd\n92sNfV+dddZZQNS9edGiRaEt45+kxKU24xtGCknkjK9nWPk1Fs86iAbsCCeeeGJoL168GMgZBiHq\nkSfomW3gwEy6AT0DlmOmjzumaBtTp04Nsp49e4b2888/D0QDOsS4J9oNwB//+MfQlu3PffbZJ8hk\ni+q+++6rc2x9zHwce+yxoS3Gv1NPPbWOrJbRmpJ4N+qtUX1vSDtJGZJsxjeMFGIPvmGkkLyqfjbX\n3mNKtA3wa+ABiqykUw4kw8n2228fZDfeeGNoS2DLdtttF2R33nknEE22qRE17YEHHggyMf5VQ4UT\no5Hep99xxx1DW3wL4mrr6WpA06dPD+0rrrgCiKqvooI3xkglQT8AO+ywQ2h/9tlndfpey4i6fskl\nlwSZ9koU9DlKYJZeBko2Hh0cprMUyfJAv19JCkm2OdN738N73wPYFfgn8DRWSccwEkuxqn4/4BPv\n/WdYJR3DSCzFWvWPBx7Jttt672UzczHQtmS9KgJRvSXABKKpsMQlVVuVRb2tL3mlWP0vv/zyIKvm\nHq2co/QLoiq8WP3zJbSMi6MvFUOGDAltvd8t41/K2gPlRPquY+vj0C7it9xyCxC9R2R8tRuvdvf+\n8MMPAbjsssuCbOHChY3tdtEUPONnU2sfBTyx+ntWSccwkkUxM/6hwBTv/ZLs65qtpKNnPvkVjgtP\n1b/QS5YsCW1JMKkDMaqJ9FdrKHPnzg3tN954A6iO4VECh3SJaO0NKP4Vtb6vLUgmIW2sFOKMp7od\np0XpwCgd8CTGZm04lGCgSqQiL2aNP4icmg9WSccwEktBD75zbn2gP/CUEt8C9HfOzQYOzL42DCMB\nFKTqe++/BTZZTfYlGSt/zaHVegnOicv7LkE2EHUzFWNZqSiVK6feC9cVWnQFl0qgA4Qk+5B2edbu\n09ogmQR23XVXIL6IqvgkALz66quh/cQTGbPX+++/H2RifNWqvBgBAU466SQgl0EKcoFBer+/XJjn\nnmGkkEQG6eRDG1Hisuh8++23QLTUcalnecjNGnr2aEpOPq2hSNgtVN5wpr0GpSahNki99tproa23\nHZOANsYJcs369OkTZLpqUaHjr0u1S9CY3ha0Gd8wjLJiD75hpJA1UtXXKvx6660HRNUxMcLoLCpx\naKNcnLefqLf62HElpvPty+qlQJyHoBxfJ7msxr64eLXp8RVVVZeN1sk2k5SVBuLvCTGezp8/v+jj\n6ftBKghpuV6yNUXFb6i8ehw24xtGCrEH3zBSyBqj6uu95Ysuuii0RQXS7pQvvvgiEE2oqFWyjh07\nAtHqO1tuuSUAzzzzTJA99VTGn0nvCGhVSyza+dSvQtWzaru9ijvr0UcfHWSyjNG5C3QKsKQxZ84c\nILpEaUrdBJ3zQVv15fg6HVpTAqeKvTdsxjeMFLLGzPiHHnpoaOuSzfJLOGPGjCB7+eWXgajRTWsM\nEqChZRKM0rdv3yCTCirLly+v833FUO2ZvCH0GJx77rlANIBlypQpAIwcOTLIKhFkUi4kWEuHyBbq\ni6C1Rqm688tf/jLIOnToENpS2Wno0KFBVsn7wGZ8w0gh9uAbRgpxlVQvyhGPL+qVzsCjVSpJZtiv\nXy6eSNSsYs5d/AG0u6qohXp/txr71nGuwXH7uvXFk6+OVlklaAVy+/Na/ZdS4qNGjQqyJKv6giQj\nhZy6fuSRRwaZDsiR8dJFTaVqkfZ50Nl4Dj/8cCBnTCwl3vv41FIKm/ENI4UkfsYXQ5MO/9ShkLL9\ndtxxxwVZU85Zz4biyaYDb6phqNt8880BuPTSS4NM+vboo48GmeR5g5yXmO6vjFuvXr2C7N577w1t\nGWsddis541asqHhm9bIi1XMgN7vr7d/Zs2eHtuQTbNs2l3ZSgn20J6CubSilwstUjclmfMMw6mIP\nvmGkkIJUfefcRcCZZDLpfgicBrQDHiWTmWcy8HPvfYMbnuVQ9Tt37gxEjS1a9Zbih+WIt68VZM94\n7NixQSalqrWhbdmyZaEtBkltqNtqq62AnCETokuo4cOHA1FDng4yWZPQS7phw4YBcM455wRZXGCV\nTjI6fvx4IFdlB6LjX05Kouo759oD5wO7ee+7A83J5Nf/HXCb974zsAI4o/6jGIZRSxSq6q8FrOec\nWwtoASwC+gKjs+9bJR3DSBCFqvoXAEOA74CXgQuA/5ed7XHObQm8mNUIGjpOyVV9sV7rOu+6jnyt\n5MavBFr9FF8Gncyxffv2od2iRQsgGkcvySSnTZsWZNodWazXtexiXE50hSDdjis2Ws0xKpWq35pM\nnbytgS2A9YFDCu2EVdIxjNoj74zvnBsAHOK9PyP7+mSgFzAA2Nx7/4Nzrhdwnff+4DzHSudUYRgV\npFT7+J8DeznnWriMqbMf8DHwGiBeMVZJxzASRKFr/OuBnwE/AFPJbO21J7Odt3FWdpL3vsGSqDbj\nG0b5KWTGr7jLbrFJAQ3DKA5z2TUMI5aKZuBxzoVAENkCsZk/injSlSO0VXuj6fbqFGDwDW3pr/5M\nU6oF5SNfKnKjMGzGN4wUYg++YaSQShv3lgHfAsvz/W2C2BQ7n1plTToXKOx8tvLet8l3oIo++ADO\nufe897tV9EvLiJ1P7bImnQuU9nxM1TeMFGIPvmGkkGo8+MOr8J3lxM6ndlmTzgVKeD4VX+MbhlF9\nTNU3jBRS0QffOXeIc26mc26Oc+7KSn53U3HObemce80597Fz7qNschKccxs758Y552Zn/29d7b4W\ng3OuuXNuqnPuuezrrZ1zE7PX6DHn3Dr5jlErOOdaOedGO+dmOOemO+d6Jfn6OOcuyt5r05xzjzjn\n1i3V9anYg++caw7cARwKdAMGOee6Ver7S8APwCXe+27AXsAvsv2/Ehjvvd8OGJ99nSQuAKar10nO\npTgMeMl73xXYmcx5JfL6lD3Xpfe+Iv/IJO8Yq15fBVxVqe8vw/k8C/QHZgLtsrJ2wMxq962Ic+hA\n5mHoCzwHODIOImvFXbNa/gdsBHxK1m6l5Im8PmTC3ueTCXtfK3t9Di7V9amkqi8nIizIyhKHc64T\n0BOYCLT13ku5lMVA23o+VosMBS4HJNplE2Cl916ibJJ0jbYGlgH3Z5cu9znn1ieh18d7vxC4lUwi\nnEXAKjJp7Etyfcy4VyTOuZbAk8CF3vtIJk+f+RlOxDaJc+4IYKn3fnK1+1Ii1gJ2Ae7y3vck4xoe\nUesTdn2alOsyH5V88BcCW6rXHbKyxOCcW5vMQ/+w9/6prHiJc65d9v12wNJq9a9I9gGOcs7NI5NJ\nqS+ZNXKrbBp1SNY1WgAs8N5PzL4eTeaHIKnX50DgU+/9Mu/9f4CnyFyzklyfSj74k4DtslbJdcgY\nKsbk+UzNkM03OAKY7r3/o3prDJmcg5Cg3IPe+6u89x28953IXItXvfcnktBcit77xcB851yXrEhy\nQyby+lDuXJcVNlgcBswCPgGuqbYBpci+9yajJn4A/D377zAy6+LxwGzgFWDjave1EefWB3gu294G\n+BswB3gC+FG1+1fEefQA3steo2eA1km+PsD1wAxgGvAg8KNSXR/z3DOMFGLGPcNIIfbgG0YKsQff\nMFKIPfiGkULswTeMFGIPvmGkEHvwDSOF2INvGCnk/wMAswUtstETFgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db6a64e48>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 5010... Discriminator Loss: 0.6576... Generator Loss: 2.1492\n",
"Epoch 2/2-Step 5020... Discriminator Loss: 0.7555... Generator Loss: 2.1061\n",
"Epoch 2/2-Step 5030... Discriminator Loss: 1.2018... Generator Loss: 1.1961\n",
"Epoch 2/2-Step 5040... Discriminator Loss: 0.5098... Generator Loss: 2.7158\n",
"Epoch 2/2-Step 5050... Discriminator Loss: 0.8177... Generator Loss: 2.4968\n",
"Epoch 2/2-Step 5060... Discriminator Loss: 0.7574... Generator Loss: 3.0226\n",
"Epoch 2/2-Step 5070... Discriminator Loss: 0.6693... Generator Loss: 1.8254\n",
"Epoch 2/2-Step 5080... Discriminator Loss: 0.8775... Generator Loss: 1.7649\n",
"Epoch 2/2-Step 5090... Discriminator Loss: 1.0300... Generator Loss: 2.4597\n",
"Epoch 2/2-Step 5100... Discriminator Loss: 0.6733... Generator Loss: 2.5881\n"
]
},
{
"data": {
"image/png": 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jOE4idaXxta7YlClTokydKFbjrL9+rlv3+eefD+S3iFZnjG4P8jXJvHnzAOjb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\n4g++46QQf/AdJ4X4g+84KcQffMdJIf8fg9meWRi0H/0AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbd33a588>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 5110... Discriminator Loss: 0.7277... Generator Loss: 3.5191\n",
"Epoch 2/2-Step 5120... Discriminator Loss: 0.7121... Generator Loss: 2.9921\n",
"Epoch 2/2-Step 5130... Discriminator Loss: 0.6108... Generator Loss: 2.8381\n",
"Epoch 2/2-Step 5140... Discriminator Loss: 0.8490... Generator Loss: 2.5457\n",
"Epoch 2/2-Step 5150... Discriminator Loss: 0.5292... Generator Loss: 3.2059\n",
"Epoch 2/2-Step 5160... Discriminator Loss: 0.5909... Generator Loss: 1.5392\n",
"Epoch 2/2-Step 5170... Discriminator Loss: 0.8997... Generator Loss: 1.5416\n",
"Epoch 2/2-Step 5180... Discriminator Loss: 0.5973... Generator Loss: 2.8303\n",
"Epoch 2/2-Step 5190... Discriminator Loss: 1.2312... Generator Loss: 1.7203\n",
"Epoch 2/2-Step 5200... Discriminator Loss: 0.9359... Generator Loss: 1.5172\n"
]
},
{
"data": {
"image/png": 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YICgd81rjK77j5BCf+I6TQ1Kp6h9++OGxbYM3HnroIQAuvPDCKNN94sb2htV4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\nIT7xHSeH+MR3nBziE99xcsj/BxFLfvlWOBTfAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db6683d30>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 5210... Discriminator Loss: 0.6013... Generator Loss: 2.7446\n",
"Epoch 2/2-Step 5220... Discriminator Loss: 1.5900... Generator Loss: 1.7314\n",
"Epoch 2/2-Step 5230... Discriminator Loss: 1.3293... Generator Loss: 0.9577\n",
"Epoch 2/2-Step 5240... Discriminator Loss: 0.7651... Generator Loss: 4.5080\n",
"Epoch 2/2-Step 5250... Discriminator Loss: 0.8763... Generator Loss: 2.2820\n",
"Epoch 2/2-Step 5260... Discriminator Loss: 0.8644... Generator Loss: 1.7405\n",
"Epoch 2/2-Step 5270... Discriminator Loss: 1.2652... Generator Loss: 1.4441\n",
"Epoch 2/2-Step 5280... Discriminator Loss: 0.5929... Generator Loss: 1.8398\n",
"Epoch 2/2-Step 5290... Discriminator Loss: 0.5260... Generator Loss: 3.4115\n",
"Epoch 2/2-Step 5300... Discriminator Loss: 0.9375... Generator Loss: 1.7354\n"
]
},
{
"data": {
"image/png": 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eg9TAb0sMOulIR5l58+YFnfxybrnllkG3YMGC4u5YGSIzX8+ePYNuxIgRQZaZ\naNCgQUFXF6Lj9Ex92223AZly1ZCxBvVSoe45eMoppwDRfnjiVH7xxReDTiIwNdrCEwv0jjvuCLqa\nLE/mxbnnvV8KLHTOyaDeD5iBddIxjNiSawDPQOAx51x9YC7Qj9SPhnXSMYwYktPA995/BHTO8tJ+\nWXRlxfLly4FotRZZK584cWLQtW+feUopBydWKRCT9rXXXgs6XR3otNNOA6LJQvpRIK706tUryPK4\nox9hZs2aBWTaiAO89957QZb36scDWedv1apVhW1D5n68//77g046HRUj+tAi9wwjgSSmoYaO8R47\ndiwQXZ755z//GeS99toLsLp3AMOGDQuytNTWjlKxlOKcRzBgwIAgSzv0t99+O+iOOOIIIFr1KBvS\nThsyte+0Q09bEY8++miF787XUq5V4DEMIys28A0jgSTG1NfstNNOQNS5p83+adOmARmTH+C7774r\n0t6VF506dQrypEmTgKhJKpFpcXaI6mpH4sDTkXs//PBDTtu57LLLgnz55ZcDUYfejBkzgiyPnl99\n9VUN9njVmKlvGEZWbOAbRgJJpKkv660XXnhh0F1xxRVBFrNfYgAAunfvDmQeA6BuhKtWha5yI+vZ\nur7/BhtsAETjJOKMJCjpa1vVGJGEm5deeinopP7/N998E3QnnnhikF9++eUK35MvzNQ3DCMrsay5\nJy2BIROFVx0nifzKSkIGQJMmTYJ8xhlnANGKK+PGjQNg/PjxQTd5cirhUH69IZNaCfFe2xb0ORBH\nlU5GqWtWT7ZrJhaipHgDDBkyJMiHHZYqRaEdxGIV6TgI7Uwu9XmzGd8wEogNfMNIILE09fWacW3C\nHPV2rrrqqiCLuSdJKZAxefv06RN0f/7znyP/Axx00EFB/vHHH2u8b6VErz136dKlgv79998PulKb\nrMVAHid1bv22224bZHkU0CG98iigc+vLobqSYDO+YSSQWM74hUhb1EtUb775JhBNoMhWb01mu9Gj\nRwfdTz/9lPd9KzY6vbRHjx5BluOVenJQPrUKC4mUZu/QoUPQ6XMk6MQemfF11F85nSub8Q0jgdjA\nN4wEUqWpn66196RSbQ5cDjxCNTvplBvaidWwYcMgn3TSSUDGqVMZy5YtA6JVVMrJnKspOmllxx13\nDLLUJ9C1C4qNNrGL5Vjs3DlVfEpXI9LINf/ss8+CTuJCJIIP4Ntvvw2yOJZLdb/kUmxzlvd+e+/9\n9sCOwM+gM2EZAAAJNklEQVTAs1gnHcOILdU19fcDvvDef4l10jGM2FJdr34fQNp8xKKTTjbExJcE\nE4iGYEpd+WzNC7Ot/ZfT+mw+aNGiRZAbNWoU5Pnz5wOwcOHCYu9SQHf5KaSpr7/nr3/9KxC9H7Qs\n+3HAAQcEnSR1NW3aNOh0TYfbb78dgKFDhwZdMROdcp7x06W1ewJP//E166RjGPGiOjP+QcBU7/2y\n9N/LnHPNVSed5dk+5L0fBgyD0qbl6l/odu3aAfDkkxmfpV6jlTV77XiRmX748OFB9+CDDxZmZ0uE\nnCMdnahnPimlXcoU3GKUngZo27ZtkKWfnkYn80hi1ty5c4NOIvvWW2+9oGvcuHGQb7nlFiB6X0p5\n7WI4/KrzjN+XjJkP1knHMGJLTgPfObc20A0YrdQ3AN2cc58D+6f/NgwjBtT5Cjxiqu6www5B99hj\njwHQpk2brJ8RM06HW4oj7+677w66upagIudKd4nZeuutgyzmr25VXdeQOAFdaUmaq+oknBNOOCHI\nK1akwlcOPPDAoNtzzz0B6NixY9Dp+Ahh6dKlQd5iiy2A2od9WwUewzCyEssknWzoiC79yyo14665\n5pqgk+4m+jN6me7TTz8F4Oyzzw46SUWta7O8RiLTZOaBaPLS119/XfR9KjYScScOYI0swUE0RVdS\nlzfZZJOgkyXPxYsXB90uu+wSZClLrpeUe/fuDcDIkSODrlAWuc34hpFAbOAbRgKpM6a+Rq/1SmKJ\nNt2y5dZLwg3AWWedBUSTUeqyiS9IEVOdWKIfgbJFMtY16tevD2Q/Vl2NSBd8FUfg+eefH3QS67Dm\nmmsG3ZVXXhnkY445Bojei9dddx0QLei6aNGiIOfT7LcZ3zASiA18w0ggdcbU16a4NvU33XRTIFM+\nqbLPSDgqwJQpUyq8ngSy1ZTXNQl23XVXIFOarC4ij3y6T4PU09cFNnWMh6zv6645gjblv/jiiyBn\nM9slIeroo48OOh03ks+ybjbjG0YCqTMzvkY7pwYOHAhEnSyC/gXVa6d1pQ9cdZFZTKeP6k46zzzz\nDAAtW7YMOh3NVhcQq2fnnXcOuk8++QSIWoC6Gs+qzoFOcsoWG6BnfjnvM2fODDpxTucbm/ENI4HY\nwDeMBFJnTH297tq+ffsgSy61Ds8V80qvl9blxJNcEVNW14eXhpCQcT7dddddQScNRuva49GCBQuC\n3K9fPwDuu+++oBs7dmyQ7733XgAmTJgQdHI+Dj744KDTXZbkftWmvDTYfOWVVypsJ9/YjG8YCaTo\nabnyS5fv79VOlKuvvjrIEk2lX//+++8B2H333YNOp2EmHV1S+6233gqyOLTeeeedoOvVqxcQdQjW\nNcRanDVrVtBJohdkZu9sEaP6vstWnlsv8Yl1mm1ZsDpYWq5hGFmxgW8YCSQn555z7hzgFFKVdD8F\n+gHNgVFAU2AKcJz3vjCLjjmgzai+ffsGWcw07SS5/vrrAZgxY0aR9i5eTJ06Nci6JsHhhx8OwJln\nnhl0OoKtriJOT52kM3369CBLTr121C1fnqo9q0uv61Lbkvx07LHHBl1tTfzqUOWM75xrAZwFdPbe\ndwRWJ1Vf/0ZgiPe+LbACOLmQO2oYRv7I1dSvB/zJOVcPWAtYAuwL/F/6deukYxgxIievvnNuEHAt\n8AvwCjAIeD892+OcawW8lLYIVrWdgi0hSCkjiOYwi1dVe6f3339/oHg12g0DorEmcl8W4h7Mi1ff\nOdeYVJ+8zYCNgbWB7rnuhHXSMYzyIxfn3v7APO/9VwDOudFAV6CRc66e9/5XoCWwONuHi9VJp1Wr\nVln1kmbZrVu3oLOZ3igF2rou9T2YyzP+AmAX59xaLmWr7AfMAF4H/px+j3XSMYwYUeXA995PIuXE\nm0pqKW81UjP4hcC5zrk5pJb0RlS6EcMwyoo600lHV0eRtsaQKXCYhJrwSUAnWyWtQlKuWMiuYRhZ\nKXpartQgq41zQyc+SDUYnf4oSTiQ6aSjdRLFV0xrJ1fWWWcdIBoFJstAuiaenu2SNPPp6ko6GlMq\nLOkITomO092ASnmusi3nleo62oxvGAnEBr5hJJBiO/e+An4C6pKnbX3seMqVunQskNvxbOq936CK\n9xR34AM45yZ77zsX9UsLiB1P+VKXjgXyezxm6htGArGBbxgJpBQDf1gJvrOQ2PGUL3XpWCCPx1P0\nZ3zDMEqPmfqGkUCKOvCdc92dc7Occ3OccxcV87tri3OulXPudefcDOfc9HRxEpxzTZxzrzrnPk//\n37jU+1odnHOrO+c+dM6NSf+9mXNuUvoaPemcq1/qfcwV51wj59z/Oec+c87NdM7tGufr45w7J32v\nTXPOPeGca5Cv61O0ge+cWx24BzgI6AD0dc51KNb354FfgfO89x2AXYAB6f2/CBjvvW8HjE//HScG\nATPV33GupXgHMM57vyWwHanjiuX1KXitS+99Uf4BuwIvq78vBi4u1vcX4HieB7oBs4DmaV1zYFap\n960ax9CS1GDYFxgDOFIBIvWyXbNy/gesB8wj7bdS+lheH6AFsBBoQiqnZgxwYL6uTzFNfTkQYVFa\nFzucc62BHYBJQDPvvTTeWwo0K9Fu1YTbgQsAyQ5pCqz0qapKEK9rtBnwFfBQ+tFluHNubWJ6fbz3\ni4FbSBXCWQJ8R6qMfV6ujzn3qolzbh3gGeBs7/33+jWf+hmOxTKJc+4QYLn3fkqp9yVP1AM6AUO9\n9zuQCg2PmPUxuz61qnVZFcUc+IsBXRiv0jp95Ypzbg1Sg/4x7/3otHqZc655+vXmwPJS7V816Qr0\ndM7NJ9UYZV9Sz8iN0mXUIV7XaBGwyKcqRkGqalQn4nt9Qq1L7/3/gEity/R7anx9ijnwPwDapb2S\n9Uk5Kl4o4vfXinS9wRHATO/9beqlF0jVHIQY1R703l/svW/pvW9N6lpM8N4fQ0xrKXrvlwILnXPS\nI11qQ8by+lDoWpdFdlj0AGYDXwB/K7UDpZr7vjspM/ET4KP0vx6knovHA58DrwFNSr2vNTi2vYEx\naXlz4J/AHOBpYM1S7181jmN7YHL6Gj0HNI7z9QGuBD4DpgF/B9bM1/WxyD3DSCDm3DOMBGID3zAS\niA18w0ggNvANI4HYwDeMBGID3zASiA18w0ggNvANI4H8Pwkap8joye1dAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db6114630>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 5310... Discriminator Loss: 0.9733... Generator Loss: 1.5390\n",
"Epoch 2/2-Step 5320... Discriminator Loss: 0.7806... Generator Loss: 2.0623\n",
"Epoch 2/2-Step 5330... Discriminator Loss: 0.4897... Generator Loss: 2.3890\n",
"Epoch 2/2-Step 5340... Discriminator Loss: 1.0056... Generator Loss: 2.0729\n",
"Epoch 2/2-Step 5350... Discriminator Loss: 0.6536... Generator Loss: 1.9443\n",
"Epoch 2/2-Step 5360... Discriminator Loss: 0.7212... Generator Loss: 2.3086\n",
"Epoch 2/2-Step 5370... Discriminator Loss: 0.7070... Generator Loss: 3.1036\n",
"Epoch 2/2-Step 5380... Discriminator Loss: 1.1220... Generator Loss: 1.6468\n",
"Epoch 2/2-Step 5390... Discriminator Loss: 0.5778... Generator Loss: 3.2888\n",
"Epoch 2/2-Step 5400... Discriminator Loss: 0.6168... Generator Loss: 2.5259\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db67cfe10>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 5410... Discriminator Loss: 0.5683... Generator Loss: 3.2456\n",
"Epoch 2/2-Step 5420... Discriminator Loss: 0.7777... Generator Loss: 1.4606\n",
"Epoch 2/2-Step 5430... Discriminator Loss: 0.6013... Generator Loss: 2.6161\n",
"Epoch 2/2-Step 5440... Discriminator Loss: 0.8191... Generator Loss: 2.7877\n",
"Epoch 2/2-Step 5450... Discriminator Loss: 0.6987... Generator Loss: 2.4595\n",
"Epoch 2/2-Step 5460... Discriminator Loss: 1.5040... Generator Loss: 0.6110\n",
"Epoch 2/2-Step 5470... Discriminator Loss: 0.8633... Generator Loss: 2.2098\n",
"Epoch 2/2-Step 5480... Discriminator Loss: 0.9388... Generator Loss: 1.8265\n",
"Epoch 2/2-Step 5490... Discriminator Loss: 0.7507... Generator Loss: 2.4642\n",
"Epoch 2/2-Step 5500... Discriminator Loss: 0.5585... Generator Loss: 3.2339\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db6431400>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 5510... Discriminator Loss: 0.6442... Generator Loss: 3.0003\n",
"Epoch 2/2-Step 5520... Discriminator Loss: 0.5520... Generator Loss: 2.7205\n",
"Epoch 2/2-Step 5530... Discriminator Loss: 0.8147... Generator Loss: 1.8698\n",
"Epoch 2/2-Step 5540... Discriminator Loss: 0.6854... Generator Loss: 1.3011\n",
"Epoch 2/2-Step 5550... Discriminator Loss: 0.5850... Generator Loss: 3.3359\n",
"Epoch 2/2-Step 5560... Discriminator Loss: 0.6005... Generator Loss: 2.6258\n",
"Epoch 2/2-Step 5570... Discriminator Loss: 0.6296... Generator Loss: 2.5284\n",
"Epoch 2/2-Step 5580... Discriminator Loss: 0.7324... Generator Loss: 4.1761\n",
"Epoch 2/2-Step 5590... Discriminator Loss: 0.7818... Generator Loss: 2.6275\n",
"Epoch 2/2-Step 5600... Discriminator Loss: 1.1629... Generator Loss: 0.8184\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db6564eb8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 5610... Discriminator Loss: 0.8138... Generator Loss: 3.4572\n",
"Epoch 2/2-Step 5620... Discriminator Loss: 1.4815... Generator Loss: 1.7691\n",
"Epoch 2/2-Step 5630... Discriminator Loss: 0.4693... Generator Loss: 4.3668\n",
"Epoch 2/2-Step 5640... Discriminator Loss: 0.6629... Generator Loss: 1.5059\n",
"Epoch 2/2-Step 5650... Discriminator Loss: 0.8070... Generator Loss: 2.4559\n",
"Epoch 2/2-Step 5660... Discriminator Loss: 0.5123... Generator Loss: 2.6219\n",
"Epoch 2/2-Step 5670... Discriminator Loss: 1.4344... Generator Loss: 1.9084\n",
"Epoch 2/2-Step 5680... Discriminator Loss: 0.7615... Generator Loss: 3.0340\n",
"Epoch 2/2-Step 5690... Discriminator Loss: 1.0736... Generator Loss: 1.6895\n",
"Epoch 2/2-Step 5700... Discriminator Loss: 0.5061... Generator Loss: 3.1781\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db61b0860>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 5710... Discriminator Loss: 0.5405... Generator Loss: 3.1697\n",
"Epoch 2/2-Step 5720... Discriminator Loss: 0.9135... Generator Loss: 3.4455\n",
"Epoch 2/2-Step 5730... Discriminator Loss: 0.7770... Generator Loss: 2.7214\n",
"Epoch 2/2-Step 5740... Discriminator Loss: 0.6653... Generator Loss: 1.8489\n",
"Epoch 2/2-Step 5750... Discriminator Loss: 1.6680... Generator Loss: 1.4212\n",
"Epoch 2/2-Step 5760... Discriminator Loss: 0.8880... Generator Loss: 1.8065\n",
"Epoch 2/2-Step 5770... Discriminator Loss: 0.5183... Generator Loss: 2.7174\n",
"Epoch 2/2-Step 5780... Discriminator Loss: 0.6663... Generator Loss: 3.2934\n",
"Epoch 2/2-Step 5790... Discriminator Loss: 0.7025... Generator Loss: 2.9029\n",
"Epoch 2/2-Step 5800... Discriminator Loss: 0.7466... Generator Loss: 2.9246\n"
]
},
{
"data": {
"image/png": 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586KsUrnp7F55pQ1Emkq8FDSH4KhRo6LM1iH85ptvADj++OOj7JRTTgHyy20f\nfPDBsX377be3rMN1Rmd3m49RC7TY58EW1FCsRvDXv/4VgN122y3KklR+3Wd8x0khPvAdJ4W0SVW/\nXI455hggv/S2LhlsWelKqeV2T7jSqv6sWbNi++yzz47tYcOGAfn7/E8++SQAQ4YMibJChstzzjkn\ntjfZZBMgX6U9/fTTY1tV3iSn7LZLLa2rqM8A5BK22nTq1ifiggsuAKBXr15RpoZUm9bdVX3HceqK\nD3zHSSGu6mexFtljjz0WKFzlxLqjVmpf1qr6lS7Yaft4zTXXxPYtt9wCwC677BJl06dPL6kPdjmi\nwTkDBw6MsnXXXTe2DzzwQABGjBhRsE9JwPo66P68Vf+1QKY9r0Il1G0Al7bt3n6S8BnfcVKIz/hZ\nDjjggNju3r07kO9R98knnwDwxhtv1LZjVeLLL78E4LHHHosyDTqyXn1aMxBye9s//vGPo0yNYdZ4\nZ4N8/vSnPwH5wUA333wzkByvPhtkpR6eVivZfffdgcKzPOSek4ceyoWr6OdfeOGFyna2QviM7zgp\nxAe+46SQVKv6mlEGcnuxkDO2WXVvwoQJQE7lLxe7jKhGue1SscFLeg10bx4Kl+a2xr3XXnsNgMMP\nPzzKbAaf0047Dcj5DQD06dMHyHf9VXfgejBlypTYVhfnFVdcMcqK+SDoe+21Gj16NFDf82oOn/Ed\nJ4W0ybDcYqjxSUNtAfbaa6/Y1l9uW4ZZQy/Hjh0bZa25dvrdTWW5seWva8EZZ5wR27/97W+B/MxD\nViP44osvgHwPQDXUNeVxqNrD3//+9yhTb0E1mgFMnDixdSdQAez1HzlyJAD77LNPlL3//vsAHHbY\nYVH2+uuvx7Z69u20005RdscddwD1yc7kYbmO4xTEB77jpJCixr1srr17jGgt4DzgThqoko5VX3Xv\n2WbYsYYZRQ1XkMukUu7SSNVC259aeXdZlVYNa+eff36Uqbpuz/vII4+M7WnTpuW9rxTU7+H666+P\nMg3ysYE9r776amzX2rPPHu9nP/sZkFP5IdfPp59+OspsavWXXnoJyA9OSnICVigt2eb0EMJmIYTN\ngC2Ab4AH8Eo6jtOwtFTV3xWYFUJ4F9gXuCMrvwP4cZOfchwnUbTIqi8itwETQwjXi8hnIYSOWbkA\nn+rfzXy+5lZ9VW+tRVZz5Ldv377gZ9Saf8ghh0SZura2JmmnXUbovrbdO7YqZDn7vlaV110Dm0Jq\n/fVzZQ8iENojAAAJOElEQVTOPfdcIN+V9g9/+AOQv9tRqaAhm4BTlwwaqw9wwgknxHYSKvHYe9a7\nd28gP8Fmv379YluTj2qQE+R2LOoRpFNRq342tfY+wL0FDuSVdByngWiJ594eZGb7Bdm/F4hIV1NJ\n58NCHwoh3AzcDPVJr73FFlsAcMMNN0RZoZneGqy0Hpx6X0F5s5DNcqPHeeaZZ6KsNbOqDQG99tpr\nAdh8882jbPLkyUBOu4H8gJsjjsjUQrEaRqVDgi3WJ0K1zKY0riRg7/ekSZOA/L19e0/VUGozE6kx\n2IY9z5w5szqdbQUtWeMfAtxt/vZKOo7ToJQ08EWkPTAQuN+ILwMGisgMYED2b8dxGoCSVP0QwtfA\nSovIPiFj5U8cNsjk3nszJglbDlqxwTFXX311bGv+9EoFz1hDke5nt+a77RLGGpJWXXXVxd6rxr23\n3norylqSY7/S2CxDirrCQvKy8hTC9tG6VutSS42WAMOHDwfyaxTYpVi9C2y6557jpJA2E5ZrU2Hb\nTCiaTceiXlWqDUB+WG6lw2RtWGc5320NSjakuFApaz1HW9OunvTt2ze21XCmBkhojBm/KfR8bOr1\nRx55BMjP7KSGZsh5+9ULn/EdJ4X4wHecFNLwqr6qvxr/DPnqvarB1piiXng2qKIacfDqNVcsg4s1\n/jXnL2CTYBZS7y0LFmTcLWwwkO1HrVRrPf5JJ50UZeovYH0ZSqWaJcXLxT5jV155JZCv6l900UWx\nbXMR1AOf8R0nhfjAd5wU0vCqviZ53GqrraKskBpsLcgnnngikKuQ0lr0ONZ9VqvwANx1110AzJ8/\nv9nvKdUdWINBIF/NLXS+mjd/gw02iDLrkqvustbqr239LBTOOV8Mu7zQlGbbbrttlGlByXnz5pX0\nfZakqfdNoc+W3cWxlXj0ntXrfHzGd5wU0pDJNq0xbOHChUB+7TuLznLbb799lGm2l5acu86Qdj+6\nUIlo60OgiSgrxcorrxzbc+bMiW1b40/RoBgbHFMowac1aupMbzUD612n4cM2Q48aHHv27Bll/fv3\nj+0dd9wRyNcWtt56ayBZQSuVpnPnzkD+OWqyUoA11lgDqM6M78k2HccpiA98x0khDWncW2mlXLxQ\noeAbixqQpk6dGmWtUa/UX8DmTtdlhk1IWa7BsDmsIe65556LbVWtrVFNlyYtiXkvFOyz8cYbx7Yu\naQoZ+azMtnUp8eyzz0ZZNa9RPbFG1gEDBgD5vhd2iVRvfMZ3nBTSkMY9G+ygNe2a8uh6+eVMxi81\nKC36ekuxhjTd6qrHlkyHDh1i+5prrgFg4MCBi71ur4sN8rHagVLoPKxM23ZG1+0qm27alhJ/9NFH\nAZg9e3aUjR8/frHPtAWs9qlZe6zR2WqLNudipXHjnuM4BfGB7zgppCTjnoicChxNJpPuG8CRQFdg\nBJnMPK8Ah4cQalI+xHp8aWBEIdUV4NtvvwUqp47XuqhlU1hD35AhQ4B8/wa7Z69YtV+vl82Mo6/b\n5YxdHqjnoD2Oqvq2fPhXX30V24UyzRQLMEoqtt82bfnee+8N5FcL0ms4dOjQKLMZeupN0RlfRFYH\nTga2DCFsDCwJDAYuB64JIawDfAocVc2OOo5TOUpV9ZcCfigiSwHtgA+AXQCtvOCVdByngSiq6ocQ\n5onI74D3gG+B0WRU+89CCBrgPRdYvWq9XAQb9KIVTcaNGxdlVs3VIJ40YK3tSS7a2Jplly5NKpWk\n0i5XrOW9U6dOQL4qr1WAbGUlu4NSyJfkuuuuA/LrOSShQpBSiqq/Ipk6eT2B1YD2wKBSD+CVdBwn\neRTdxxeRA4FBIYSjsn//DOgHHAisGkL4XkT6AReEEJpNK1KP2nlO20C1uGLZjJzK7eO/B2wjIu2y\nxTF3BaYCTwI/yb7HK+k4TgNRkueeiAwDDga+B14ls7W3OpntvE5Z2U9DCM3udfmM77QWn/FLp5QZ\nvyFddp30ofHt9Sg73Wi4y67jOAVJZFhuazy77GcKpatuzVZKPVI5a9+TtPVTCQrdH+shaF/XUNbe\nvXtHmc74thZdsWtU6Dkq5LFY6DP2GdJ731R68kLBS/WujVcMn/EdJ4X4wHecFFJr495HwNdA/eo1\nV56V8fNJKm3pXKC081kzhNC52BfVdOADiMjLIYQta3rQKuLnk1za0rlAZc/HVX3HSSE+8B0nhdRj\n4Fe2ykT98fNJLm3pXKCC51PzNb7jOPXHVX3HSSE1HfgiMkhEpovITBE5s5bHLhcR6S4iT4rIVBGZ\nIiK/yso7icgYEZmR/X/Feve1JYjIkiLyqog8mv27p4iMz96je0RkmWLfkRREpKOI3Ccib4rINBHp\n18j3R0ROzT5rk0XkbhFZtlL3p2YDX0SWBG4A9gB6AYeISK9aHb8CfA+cHkLoBWwDnJDt/5nAuBDC\nusC47N+NxK8AmwWykXMpXgs8HkLYANiUzHk15P2peq7LEEJN/pFJ3vEP8/dZwFm1On4VzuchYCAw\nHeialXUFpte7by04h25kBsMuwKOAkHEQWarQPUvyP6AD8DZZu5WRN+T9IRP2PodM2PtS2fuze6Xu\nTy1VfT0RpaZ5+iqJiPQA+gDjgS4hhA+yL80HutSpW63h98AZgEaXrEQdcymWSU/gI+Av2aXLLSLS\nnga9PyGEeYDmuvwA+JwK5rp0414LEZHlgFHAKSGEL+xrIfMz3BDbJCKyF/BhCOGVevelQiwFbA7c\nGELoQ8Y1PE+tb7D7U1auy2LUcuDPA7qbv7tlZQ2DiCxNZtAPDyHcnxUvEJGu2de7Ao1SCnY7YB8R\neYdMJqVdyKyRO2bTqENj3aO5wNwQwvjs3/eR+SFo1PszAHg7hPBRCOE74H4y96wi96eWA38CsG7W\nKrkMGUPFwzU8fllk8w3eCkwLIVxtXnqYTM5BaKDcgyGEs0II3UIIPcjciydCCIfRoLkUQwjzgTki\nsn5WpLkhG/L+UO1clzU2WOwJvAXMAs6utwGlhX3fnoya+DrwWvbfnmTWxeOAGcBYoFO9+9qKc+sP\nPJptrwW8BMwE7gV+UO/+teA8NgNezt6jB4EVG/n+AMOAN4HJwF3ADyp1f9xzz3FSiBv3HCeF+MB3\nnBTiA99xUogPfMdJIT7wHSeF+MB3nBTiA99xUogPfMdJIf8PS34AuFcIFKkAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db62e0278>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 5810... Discriminator Loss: 0.6765... Generator Loss: 1.8345\n",
"Epoch 2/2-Step 5820... Discriminator Loss: 0.7103... Generator Loss: 1.7287\n",
"Epoch 2/2-Step 5830... Discriminator Loss: 0.5158... Generator Loss: 2.4167\n",
"Epoch 2/2-Step 5840... Discriminator Loss: 0.8594... Generator Loss: 4.9640\n",
"Epoch 2/2-Step 5850... Discriminator Loss: 0.6634... Generator Loss: 1.9108\n",
"Epoch 2/2-Step 5860... Discriminator Loss: 0.4578... Generator Loss: 2.7778\n",
"Epoch 2/2-Step 5870... Discriminator Loss: 0.8115... Generator Loss: 4.1891\n",
"Epoch 2/2-Step 5880... Discriminator Loss: 0.7035... Generator Loss: 2.7653\n",
"Epoch 2/2-Step 5890... Discriminator Loss: 0.9100... Generator Loss: 2.3595\n",
"Epoch 2/2-Step 5900... Discriminator Loss: 1.0375... Generator Loss: 2.1054\n"
]
},
{
"data": {
"image/png": 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F3hv7ewsWLIjtQw45BIDx48fX+pilRg1adnbu3bs3kO+VZlORa3abZs2aRZlu\nW1lsoZHLL78cgJtuuinKvvjiC6B896J169axrbNp06ZNo+zFF1+M7aOPPhoono+91RQPPfTQ2FbN\nwoYZv/TSSwDsu+++UVaXfI4+4zuOk4gPfMdJIY1e1Vc1z+6/q3pqr92mq549ezYAzzzzTJSpum4N\nW7rPb40+tkafemXZPd+GTDK67rrrxvbdd98NwK677hpleg/UAAYwcuTI2H7nnXeAfGOYpjK3Rs3O\nnTvHtqqy1sh37LHHAjBmzJgoK2WVoJNPPjm2r7/+eiB/CWNVcC2dXor+2OXFyy+/DOT8CiC3t3/M\nMcdE2aOPPhrbtVh6uqrvOM7y+MB3nBTSKFV9u5+6//77A/l7qNOnTwfgggsuiLJZs2bFtu7PW7W8\nUqzxtUWrAgHcfPPNsX3QQQcBuWsFeOKJJ4D8Pfn3338/tpP8EvReW3+Ao446KravvPLK5fqhFYx6\n9uwZZaUIVlGs1V6XNnbpZysmffbZZyXrh+WII44A8ndVdAdg6tSpUaY+J7Xpm6v6juMk0mjKZNu9\n2muuuSa2dc9+4sSJUXb22WcDOSMeJM/o1TrLW0488cTYPuCAA5b7/JFHHolt9WS09QFrQu+RNY6O\nGDEitnUWU6Ma5J5Vjx49oqyUM77NladYI6z6FZQTNWxao6d6jGowFMAJJ5wQ21dccQVQnLBon/Ed\nJ4X4wHecFFL1qr66l9q95w4dOsS2Gp+22CKXKkANW3aPVNUogBkzZgDw1VdfRVm1ZZ1RtVHjwiEX\nGALw1ltvAXDuuedGWW1U/EKxaqui97KY5cWT0Gdv4+2VSZMmxXYpfQhWhC4v1E0XcrkP7H7/cccd\nF9vXXXcdkG+QrSs+4ztOCqn6GV+3mM4777wou/rqq2O7VatWQH4whM58uqUCuW0/gL333huAN954\nowQ9Lg8XXnghkJv5IT945rTTTgNg4cKFRTmf3UK1nnCnnnoqkK8xqXfcK6+8UpRzrwg1LNpAIjVG\nvvfee1HWENqcvrd2m7lPnz4ANG/ePMrat28f2xoc5TO+4zh1wge+46SQQpJtbkGmYo6yCXAecDcV\nVEnHqprWmKOGPpv0UNVcq1JZRo0aBeTi6asFGyc/Z84cANZcc80ou/3222Nb70F9DVt63zfeeOMo\n02Aee/777rsvys455xwgf5lRCnV77bXXBvITZyr22T7++ONFP3eh2Gc2btw4AHbccccos/dF5dYn\nJYliJdtJnCNfAAAJm0lEQVScFkLoEkLoAuwA/BcYhVfScZyqpbaqfm9geghhFl5Jx3Gqltpa9QcC\n92fb64cQND/RfGD9ovWqDtgli01gqG1rxdXAERuA0rZt29jeb7/9gHxXT+viWalYC7GqkDaw4/zz\nz4/tuqj4aiVXFRpyQS8XX3xx4rGvuuoqID8hqbqpltqavuGGGwL5y0B9T0rtQ1AoNhBMXcitqm/7\nrgU9i0HBM342tfYBwEPLfuaVdBynuqjNjN8PeDuEoNkkF4hIW1NJJ3FDOIRwC5naew2abNNqBOo1\nZb3aNCMN5LwBX3311ShTLcB6fOlerD12QwT2qJHSBuQoNjhGw2FrwnqODRkyJLYHDx4M5O8tJ2Uz\nssYnTSppvSDLlYVIfRiSUmH/7Gc/i7KxY8fGdtLz0+9YXxCrrSR9x/5u0ncUm4xTDdG2vzYUWj1K\nk9DvFPr+1WaNfwQ5NR+8ko7jVC0FDXwRaQb0AR414suBPiLyIbB39mfHcaqAglT9EMJSoM0yskVk\nrPxVh6phNtOJVU+1hLFNTvnss88CuSw1AP/+97+B/GKJNqOKXRaUEnVRtllwVJ22RrWa1EC9L889\n91yU2Sw5+rlNVKnuo1ZltefRZZM1uJZrOaS+DPZ8eg3WxdsGL+lz/vLLL6NMjZlWVbcx/En1BnT5\nZd8xa1DU5dTBBx8cZbr8sP394IMPYntlBuZSqvqO4zQSGmXOvSSssUUrxvTq1SvKrBFFA0ts3bik\nv6g6A+jMAjBgwIDYLteMr9rKtttuG2U642v6a4CPPvpoue9aQ9LOO+8MwOjRo6PMzoaa2ciG8mpJ\nbVvi2RoH9fxaY6+cqOHRGjWTvDXtM1Vtxn5Hq+pYTccG/ugxrdFS2zZcfMmSJbGt98VmIdLjaJpt\ngDPPPDO2NWdiUu5DfU7ffvstP/74o+fccxxneXzgO04Kqfp4/JpQVdbG2997771A/t6yxohDzstv\np512ijJVpaxaqAki7bGnTZtWrK4XjBrwNEML5FRRa6izaqOq5tZj8Ze//CWQb9jSgBrI+TrYe6AG\nRRsYZeP+S5HVp1BUZb722mujTK/HFga1yx29b1olybZrWhbbz/WYO+ywQ+Lnuky0Ml0KWC9TG/C0\nMm/L2vpG+IzvOCnEB77jpJBGr+qrmmbrs+u+u01hZFU73ZO21XU0b/xrr70WZRqYsmDBAhoSVfUH\nDhwYZWot1kAVyPcxUBXc5sNXdd3uyWvqMsjtjFjVWAODrOpsK9dYS3hDYVV9rT2/5ZZbRpndhdBr\nt7tAer32ui2qrlu1XZcZdtlk3xPd5Zg8eXKUaR4Iu/eflEugGPiM7zgppFHu49v998ceewzI90DT\nv9zWWGL/mqvc7uVqeOkdd9wRZfaveSVg95a11PLw4cOjzBrykmbvpJnN7hlrWK8t+33jjTcud267\nN90Qxs6VoRqMDdKxdf1UG9x+++2jrF+/fgBstNFGUWbHjfpxWP8HNRbbCkH2fVEvPqsRFWsseu08\nx3ES8YHvOCmk0aj61ghlK+TstttuQHJ8tMXeBzV42Xj92267DWiYqit1QdV1m2yzU6dOsd25c2cg\n/75pJRfNqgP5LruazcfuGWvMuy6pAAYNGhTbSe6llUaS0c7K1Phng7FswI4aie27kWTwKxeu6juO\nk0jVz/g6o9ltNmu40Zk+6S+0Bl9Afu28e+65ByhfpphKw25v2XvZtWtXIN94p7Pc0KFDo8x67jnl\nx2d8x3ES8YHvOCmkIFVfRH4HnEAmk+57wCCgLfAAmcw8bwHHhBC+XeFBKI2qrzHkjzzySJRZg5TG\nqmsACuQ88hrC8OI4paYoqr6ItAN+A3QLIWwNrEomv/4fgWtDCJsBnwO/ql93HccpF4Wq+k2ANUSk\nCbAmMA/YC3g4+7lX0nGcKqLGIJ0QwlwRuQr4N/A1MIaMar84hKCbtHOAdis4REnR3PfWHdVxnJVT\niKrfikydvE7AhkAzoG+hJ/BKOo5TeRQSlrs3MCOE8CmAiDwK7AK0FJEm2Vm/PTA36cuVUknHcZwc\nhazx/w3sJCJrSsaPsTcwBXge+EX2d7ySjuNUEYVu510IHA58D7xDZmuvHZntvNZZ2dEhhJW6uvmM\n7zilp5DtvKp32XUcJx932XUcJ5Gy5twTkRgAYquFODk0d101hLM2BC1atIhte49at24N5IfGal5B\n+3tJYdXF0nptKG9ShqOksN2Gwmd8x0khPvAdJ4WU27j3KbAU+KxsJy096+DXU6k0pmuBwq5n4xDC\nujX8TnkHPoCITAghdCvrSUuIX0/l0piuBYp7Pa7qO04K8YHvOCmkIQb+LQ1wzlLi11O5NKZrgSJe\nT9nX+I7jNDyu6jtOCinrwBeRviIyTUQ+EpFh5Tx3fRGRDiLyvIhMEZH3RWRIVt5aRMaKyIfZ/1vV\ndKxKQkRWFZF3ROTJ7M+dRGR89hk9KCKr1XSMSkFEWorIwyLyLxGZKiI9q/n5iMjvsu/aZBG5X0RW\nL9bzKdvAF5FVgRuAfkBn4AgR6Vyu8xeB74HTQwidgZ2AU7P9HwaMCyFsDozL/lxNDAGmmp+rOZfi\ndcDoEMKWwHZkrqsqn0/Jc12GEMryD+gJPGN+Phs4u1znL8H1/B3oA0wD2mZlbYFpDd23WlxDezKD\nYS/gSUDIOIg0SXpmlfwPaAHMIGu3MvKqfD5kwt5nkwl7b5J9Pj8v1vMpp6qvF6I0WJ6++iIiHYGu\nwHhg/RCCluSZD6zfQN2qC38ChgJaZqgNFZJLsQ50Aj4F7sguXW4TkWZU6fMJIcwFNNflPOALipjr\n0o17tURE1gIeAX4bQvjSfhYyf4arYptERPYDFoYQ3mrovhSJJsD2wF9DCF3JuIbnqfVV9nzqleuy\nJso58OcCHczPK8zTV6mISFMyg/6+EIKW5F0gIm2zn7cFFjZU/2rJLsABIjKTTCalvciskVtm06hD\ndT2jOcCcEML47M8Pk/lDUK3PJ+a6DCF8B+Tlusz+Tp2fTzkH/pvA5lmr5GpkDBWPl/H89SKbb3AE\nMDWEcI356HEyOQehinIPhhDODiG0DyF0JPMsngshHEWV5lIMIcwHZovIFlmR5oasyudDqXNdltlg\n0R/4AJgO/P+GNqDUsu+7klETJwETs//6k1kXjwM+BJ4FWjd0X+twbXsAT2bbmwBvAB8BDwE/aej+\n1eI6ugATss/oMaBVNT8f4ELgX8Bk4B7gJ8V6Pu655zgpxI17jpNCfOA7Tgrxge84KcQHvuOkEB/4\njpNCfOA7Tgrxge84KcQHvuOkkP8DgHA/h4NM0LkAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db62e8358>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 5910... Discriminator Loss: 0.7952... Generator Loss: 1.3918\n",
"Epoch 2/2-Step 5920... Discriminator Loss: 1.4054... Generator Loss: 1.2510\n",
"Epoch 2/2-Step 5930... Discriminator Loss: 0.7395... Generator Loss: 1.9064\n",
"Epoch 2/2-Step 5940... Discriminator Loss: 0.4409... Generator Loss: 2.9010\n",
"Epoch 2/2-Step 5950... Discriminator Loss: 0.9362... Generator Loss: 2.7503\n",
"Epoch 2/2-Step 5960... Discriminator Loss: 1.0228... Generator Loss: 1.4608\n",
"Epoch 2/2-Step 5970... Discriminator Loss: 2.3172... Generator Loss: 4.4076\n",
"Epoch 2/2-Step 5980... Discriminator Loss: 0.7294... Generator Loss: 3.3239\n",
"Epoch 2/2-Step 5990... Discriminator Loss: 1.6670... Generator Loss: 1.0813\n",
"Epoch 2/2-Step 6000... Discriminator Loss: 1.1560... Generator Loss: 1.4040\n"
]
},
{
"data": {
"image/png": 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6//33o0y/g88880yUffrpp01eYz8ffU+bDGQjCMvF9/EdxymKL3zHySCpN/V1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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db5b720b8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 6010... Discriminator Loss: 1.0264... Generator Loss: 3.1394\n",
"Epoch 2/2-Step 6020... Discriminator Loss: 0.5920... Generator Loss: 1.7846\n",
"Epoch 2/2-Step 6030... Discriminator Loss: 0.4545... Generator Loss: 2.5640\n",
"Epoch 2/2-Step 6040... Discriminator Loss: 0.8280... Generator Loss: 1.3915\n",
"Epoch 2/2-Step 6050... Discriminator Loss: 0.5016... Generator Loss: 3.8219\n",
"Epoch 2/2-Step 6060... Discriminator Loss: 0.5244... Generator Loss: 3.0425\n",
"Epoch 2/2-Step 6070... Discriminator Loss: 0.6403... Generator Loss: 2.9120\n",
"Epoch 2/2-Step 6080... Discriminator Loss: 0.6300... Generator Loss: 2.6643\n",
"Epoch 2/2-Step 6090... Discriminator Loss: 0.6518... Generator Loss: 2.3819\n",
"Epoch 2/2-Step 6100... Discriminator Loss: 0.5038... Generator Loss: 2.9142\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db5b72048>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 6110... Discriminator Loss: 3.3824... Generator Loss: 6.2745\n",
"Epoch 2/2-Step 6120... Discriminator Loss: 0.5492... Generator Loss: 2.6041\n",
"Epoch 2/2-Step 6130... Discriminator Loss: 1.5129... Generator Loss: 1.1538\n",
"Epoch 2/2-Step 6140... Discriminator Loss: 0.5757... Generator Loss: 2.4481\n",
"Epoch 2/2-Step 6150... Discriminator Loss: 0.7124... Generator Loss: 2.7547\n",
"Epoch 2/2-Step 6160... Discriminator Loss: 0.9600... Generator Loss: 2.4202\n",
"Epoch 2/2-Step 6170... Discriminator Loss: 0.5159... Generator Loss: 3.2544\n",
"Epoch 2/2-Step 6180... Discriminator Loss: 0.5769... Generator Loss: 2.4911\n",
"Epoch 2/2-Step 6190... Discriminator Loss: 0.7478... Generator Loss: 2.0725\n",
"Epoch 2/2-Step 6200... Discriminator Loss: 0.8396... Generator Loss: 2.0547\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db5b81ac8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 6210... Discriminator Loss: 0.5053... Generator Loss: 2.2907\n",
"Epoch 2/2-Step 6220... Discriminator Loss: 0.9117... Generator Loss: 1.2082\n",
"Epoch 2/2-Step 6230... Discriminator Loss: 0.8933... Generator Loss: 1.6245\n",
"Epoch 2/2-Step 6240... Discriminator Loss: 0.7024... Generator Loss: 2.7995\n",
"Epoch 2/2-Step 6250... Discriminator Loss: 0.6028... Generator Loss: 2.9859\n",
"Epoch 2/2-Step 6260... Discriminator Loss: 1.4206... Generator Loss: 1.4163\n",
"Epoch 2/2-Step 6270... Discriminator Loss: 0.7542... Generator Loss: 2.7978\n",
"Epoch 2/2-Step 6280... Discriminator Loss: 0.6178... Generator Loss: 3.6148\n",
"Epoch 2/2-Step 6290... Discriminator Loss: 0.7727... Generator Loss: 2.8502\n",
"Epoch 2/2-Step 6300... Discriminator Loss: 0.7728... Generator Loss: 1.8395\n"
]
},
{
"data": {
"image/png": 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ycu455zYG7gV2IlVq+5fAVArspNO0aVO/zjrrAJlIOL0nWc0ChdrJqB0lRjyQ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\nJJD/D5NuJjmdKObHAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db5fb7e80>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 6310... Discriminator Loss: 0.8769... Generator Loss: 1.6217\n",
"Epoch 2/2-Step 6320... Discriminator Loss: 0.5226... Generator Loss: 2.1985\n",
"Epoch 2/2-Step 6330... Discriminator Loss: 1.0925... Generator Loss: 3.7481\n",
"Epoch 2/2-Step 6340... Discriminator Loss: 1.1286... Generator Loss: 2.2092\n",
"Epoch 2/2-Step 6350... Discriminator Loss: 0.5047... Generator Loss: 2.7746\n",
"Epoch 2/2-Step 6360... Discriminator Loss: 0.4286... Generator Loss: 4.3793\n",
"Epoch 2/2-Step 6370... Discriminator Loss: 0.7580... Generator Loss: 2.8480\n",
"Epoch 2/2-Step 6380... Discriminator Loss: 1.2151... Generator Loss: 1.8627\n",
"Epoch 2/2-Step 6390... Discriminator Loss: 0.6954... Generator Loss: 4.3327\n",
"Epoch 2/2-Step 6400... Discriminator Loss: 0.6671... Generator Loss: 2.2565\n"
]
},
{
"data": {
"image/png": 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c0cCT3vsewA7AbKyTjmEklmJUdjcE9gDGAnjv/+O9X4l10jGMxFLQ1XfO9QLG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\nu/ENI4X8P0dCWs7c+mSZAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db61b0198>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 6410... Discriminator Loss: 1.0369... Generator Loss: 3.2546\n",
"Epoch 2/2-Step 6420... Discriminator Loss: 0.4658... Generator Loss: 2.5425\n",
"Epoch 2/2-Step 6430... Discriminator Loss: 0.6799... Generator Loss: 2.8313\n",
"Epoch 2/2-Step 6440... Discriminator Loss: 0.7715... Generator Loss: 2.1997\n",
"Epoch 2/2-Step 6450... Discriminator Loss: 0.5598... Generator Loss: 3.1018\n",
"Epoch 2/2-Step 6460... Discriminator Loss: 2.4926... Generator Loss: 0.2657\n",
"Epoch 2/2-Step 6470... Discriminator Loss: 0.5483... Generator Loss: 2.5166\n",
"Epoch 2/2-Step 6480... Discriminator Loss: 0.8568... Generator Loss: 1.0284\n",
"Epoch 2/2-Step 6490... Discriminator Loss: 0.9080... Generator Loss: 1.8248\n",
"Epoch 2/2-Step 6500... Discriminator Loss: 0.7513... Generator Loss: 1.2208\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db5dea2b0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 6510... Discriminator Loss: 0.8845... Generator Loss: 1.4787\n",
"Epoch 2/2-Step 6520... Discriminator Loss: 0.6351... Generator Loss: 2.3245\n",
"Epoch 2/2-Step 6530... Discriminator Loss: 0.6925... Generator Loss: 2.7838\n",
"Epoch 2/2-Step 6540... Discriminator Loss: 1.0024... Generator Loss: 1.8678\n",
"Epoch 2/2-Step 6550... Discriminator Loss: 0.4503... Generator Loss: 3.6231\n",
"Epoch 2/2-Step 6560... Discriminator Loss: 0.5370... Generator Loss: 1.9547\n",
"Epoch 2/2-Step 6570... Discriminator Loss: 0.8754... Generator Loss: 2.7954\n",
"Epoch 2/2-Step 6580... Discriminator Loss: 0.5483... Generator Loss: 1.0366\n",
"Epoch 2/2-Step 6590... Discriminator Loss: 0.8964... Generator Loss: 2.2711\n",
"Epoch 2/2-Step 6600... Discriminator Loss: 1.4574... Generator Loss: 1.0392\n"
]
},
{
"data": {
"image/png": 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WLVsC8Nhjj0XZySefHMdJKJip1wAwY8YMAHr27Blly5cvj+NevXoBsGjRIpoS\ntqvOAw88AMDgwYNX+xz73q6uW5B9nG0lrvdw6tSpUaZNSadMmRJlDTH/PUnHcZycuMZfDa1bt45j\n7c23ww47RNnzzz8PwOGHHx5lSakspNbMuuuuG2Wq0UePHh1l3bp1i+OZM2cCMHDgwCirtN54DWHL\nLbeM4+nTpwPZ/fQaQ13zy2p0rbp0xx13RNmll16a87F1vKZrfMdxauIT33GqEDf1c6B79ieddFKU\n3XbbbQB89dVXUdanTx8APvnkkxKeXcOx4cTq1LNFPdWU7NSpU5TNmTMnjvWz0qVLlyj7/PPPi3Oy\nJcSa9XfeeScAhx56aJTpvbL3z6L3xYZo6+dk7ty5UbZw4cI4XnPNNYFsR+qGG24IZLfjHjJkSBy/\n/PLL+VyOm/qO4+TGJ77jVCGeNJ4DTVK58soro0z3em+99dYoW7p0aWlPrAHYPerdd989jt99910A\nPvrooxrPWbx4cRxb83STTTYBoGvXrlHWFEx9G0o7bNgwACZMmBBlmoRldzNWrFgRx2rO2xiPl156\nCYAlSzKR7NaEV+z7ozsoxx57bJRts802cfzPf/4TKMxOimt8x6lC3LmXRp0tACNGjADgzDPPjDJ1\n4GmqLWQ7+iqVzTbbLI7vv//+OL7mmmsAeOaZZ2o8x0YsaiQbwJFHHgnAXnvtFWUvvvhi4U62AtBr\nt/dAx7aqkp036tQrVJKNtQJyWVfLli1b7fPduec4Tk584jtOFeLOvTS6Jw9w/PHHA9nm3siRI4Hs\nRIskYPfcrdmvjr5cpr41YydNmhTHauo3BYdebei151oClyo82YZ9W+freuutB+RuCV/f9vOu8R2n\nCqlqja+VVQCGD89UE1tnnXWA7K2Yu+++G0heUoo9X+vA3G677fJ6vrVwdNtLtwKTQi4NmRRsNKC+\nl7bga0MLurrGd5wqxCe+41QhdZr66Vp7jxhRD+CXwH1peTdgLnBUCGH1G4wVRr9+/eJ47733jmM1\nB23RSVuJJkloVR3INvs333xzINtszGVK2udoHEBSag5ospGtq6DLlCT2PNA4ArtEbWgsST7FNt8J\nIfQJIfQBtge+AcbinXQcJ7HU19TfC3g/hDAPOATQUi2jgUNrfZbjOBVFfb36xwAPpceJ7aSjpuwF\nF1wQZdopBzJJKraOfKlMQ835LlT4p00mefXVV+O4f//+AAwYMCDK5s2bB2T3Dth3333j+Msvv8w6\nR6i8XQ6KHtdIAAAIt0lEQVTb42DMmDEAfPbZZ1Gm+e1JMfXtjoQmSdlz13Jo9SVvjZ8urX0w8Niq\n//NOOo6TLOqj8QcD/wohaLmZxHbS6d69O5Cdpmr5y1/+AmQ0XCkp9D6zPd7QoUPjWLX/s88+G2VW\nWyq59pFtss+0adNqPKec2AhMdd7a91ETYGzloUrGxl6ce+65QCampDHUZ40/lIyZD95Jx3ESS14T\nX0RaAfsAY4z418A+IvIesHf6b8dxEkBepn4I4Wug3Sqyz0h5+RPHWWedBWTXlLdOME3IKYfjqpgh\npTaP+7LLLgMyefmQ6ROg9Qggu/7AQw+lDL6bbropyrQ6TaWEwqrTEjJOXNstKAkxCDbvf/vtt49j\nvde2kWlD8cg9x6lCqiZJx37r65aOjVDTTjkAn376aelOrIRYrTx+/HgAJk6cGGV220tZsGBBHGu/\nN9tNqH379kDx6w/qe1WXFbbjjjvGsW6FWQeZltKuj3NPty/tcWw0oDpFv//++yhTh6J1jubaorXa\nvU2bNgDss88+UaaWGWSSpHJZLXoOuer65cI1vuNUIT7xHacKqRpT33Yk6dAhFWT4zTffRNnFF18c\nx5UWjVYM1CSsyzS05qk692wjx1NOOQXIdviVk1xmsF3SHXfccUAmVgOyzW3tZtOjR48o+/GPfwxk\nL3FsEcz1118fyF5K6XnY+2s/V3pfbRcfTb6xSwq7fNDir7miDvW5+TovXeM7ThXiE99xqpAmX1df\nk2+s115DdTWJA7K7lxQqQaapoeW6pk6dGmWTJ08G4MADD4yycu7pa3NTyL3frd58WzDUJmipd9yG\nL6tXP1etfUt9rnt1xTytKa+FXwHGjh2b77G9rr7jODVpks49+22skU+9e/eOMnWAXHjhhVHmWr5u\n9B5ZjaSOrUphypQpcXzGGWcA2c471eTaHxFya3KrkfW6bXTnm2++GcevvPIKkIlzANhyyy0B6Ny5\nc5RZR506lm1BV00H1757kG1dFRLX+I5ThfjEd5wqpEma+nYfdPDgwUCmVj7A7Nmzgex20A1BnUKb\nbrpplNma89a0awqomWyXRZVWyea5556LYy00as1t25BSsaa+hi2/9957Ufb4448DMH369CjTakWQ\n2atvrHOvlLjGd5wqpMlrfJvWqFx33XVA4x16+q09a9asKGtqUX9WG7Zr166GrNIq2dhtOt221Z5z\nkEmusUlb9nOgqcu2ao9eY1NyALvGd5wqxCe+41QheZn6IjIMOI1UJd03gZOBjsDDpCrzvA6cEEKo\nCG+W3VvWCjK2JPQbb7xRkNepNDO3GFizXp2Y1uSt5HugzlVbX6Gp1lqoL3VqfBHZGDgP6B9C2AZo\nTqq+/k3A70IImwHLgFOLeaKO4xSOfE39FsDaItIC+BGwCNgTeDz9f++k4zgJok5TP4SwUERuAT4C\n/gs8R8q0/yKEoJu4C4CNi3aWeWBNUlsWaYMNNgCy92/79u0LwPvvv1+is0sW9l7aZJW2bdsC8Npr\nmd4ojz1Wo7+KkwDyMfXbkOqT1x3oBLQC9s/3BbyTjuNUHnWm5YrIkcD+IYRT03+fCAwEjgQ2CiGs\nFJGBwNUhhP3qOFbRwpWsljrggAPi+Iknnqjxf62+cvrpp0dZpUWgVSLqILWfmXJHoDk1KVRa7kfA\nABH5kaRmz17A28ALwBHpx3gnHcdJEHVO/BDCNFJOvH+R2sprRqoX3iXAhSIyh9SWXuMbejmOUxKa\nTAUem3OtlWIALrroIiC7RbQmXdhc6FyFEC1u0jpJwSvwOI6Tk4pP0rERd7olp6WEIZM40rNnzyjT\n6ieQqYpiky46depU43Ws808jvmxUWq4uJsWwAnJVgCn0se3YyvQ1a3vtXOeW67H2PdNxoZynuc63\nUrDXrX0ZtdMQZJfaVmuzXKnbrvEdpwrxie84VUipnXtLga+BppQp0R6/nkqlKV0L5Hc9m4QQNqjr\nQCWd+AAi8loIoX/dj0wGfj2VS1O6Fijs9bip7zhViE98x6lCyjHxR5XhNYuJX0/l0pSuBQp4PSVf\n4zuOU37c1HecKqSkE19E9heRd0RkjogML+VrNxYR6SIiL4jI2yLyHxE5Py1vKyITROS99O825T7X\n+iAizUVkhog8lf67u4hMS79Hj4jImnUdo1IQkdYi8riIzBaRWSIyMMnvj4gMS3/W3hKRh0SkZaHe\nn5JNfBFpDvwBGAz0AoaKSK9SvX4BWAn8PITQCxgAnJM+/+HAxBBCT2Bi+u8kcT4wy/yd5FqKI4Fn\nQwhbAr1JXVci35+i17oMIZTkh1Txjr+bvy8FLi3V6xfhep4E9gHeATqmZR2Bd8p9bvW4hs6kJsOe\nwFOAkAoQaZHrPavkH2B94EPSfisjT+T7Q6qU3XygLamcmqeA/Qr1/pTS1NcLUcpep6+hiEg3oC8w\nDegQQtD+yIuBDmU6rYZwK3AxoHnI7aiwWor1oDuwFLgnvXT5k4i0IqHvTwhhIaC1LhcBX1LAWpfu\n3KsnIrIO8FfgghDCV/Z/IfU1nIhtEhE5CFgSQni93OdSIFoA/YA/hhD6kgoNzzLrE/b+NKrWZV2U\ncuIvBLqYvzunZYlBRNYgNekfCCGMSYs/EZGO6f93BJbU9vwKYxfgYBGZS6oxyp6k1sit02XUIVnv\n0QJgQUhVjIJU1ah+JPf92Rv4MISwNITwP2AMqfesIO9PKSf+dKBn2iu5JilHxbgSvn6jSNcbvBuY\nFUL4rfnXOFI1ByFBtQdDCJeGEDqHELqRei8mhRCOI6G1FEMIi4H5IrJFWqS1IRP5/lDsWpcldlgc\nALwLvA9cXm4HSj3PfVdSZuIbwL/TPweQWhdPBN4DngfalvtcG3Btg4Cn0uMewKvAHOAxYK1yn189\nrqMP8Fr6PXoCaJPk9we4BpgNvAX8BVirUO+PR+45ThXizj3HqUJ84jtOFeIT33GqEJ/4jlOF+MR3\nnCrEJ77jVCE+8R2nCvGJ7zhVyP8HCS243GXKlA0AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db5b81d68>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 6610... Discriminator Loss: 0.7733... Generator Loss: 2.3364\n",
"Epoch 2/2-Step 6620... Discriminator Loss: 0.6323... Generator Loss: 2.2168\n",
"Epoch 2/2-Step 6630... Discriminator Loss: 0.7862... Generator Loss: 3.1674\n",
"Epoch 2/2-Step 6640... Discriminator Loss: 0.6309... Generator Loss: 2.5274\n",
"Epoch 2/2-Step 6650... Discriminator Loss: 0.4759... Generator Loss: 3.2742\n",
"Epoch 2/2-Step 6660... Discriminator Loss: 0.8597... Generator Loss: 2.6065\n",
"Epoch 2/2-Step 6670... Discriminator Loss: 0.4565... Generator Loss: 5.1126\n",
"Epoch 2/2-Step 6680... Discriminator Loss: 0.7354... Generator Loss: 2.6744\n",
"Epoch 2/2-Step 6690... Discriminator Loss: 1.1391... Generator Loss: 1.2024\n",
"Epoch 2/2-Step 6700... Discriminator Loss: 0.4862... Generator Loss: 2.8869\n"
]
},
{
"data": {
"image/png": 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ZiBEj4livz7Rp06JMk5eqGfs9UKtm5MiRUaaa3qYen3zyyXFc6NRja3F17Nix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\nF77jJJD/B3x6BUGZaCGnAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc203940>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 6710... Discriminator Loss: 1.7944... Generator Loss: 0.7128\n",
"Epoch 2/2-Step 6720... Discriminator Loss: 1.2603... Generator Loss: 1.0764\n",
"Epoch 2/2-Step 6730... Discriminator Loss: 0.7676... Generator Loss: 2.2555\n",
"Epoch 2/2-Step 6740... Discriminator Loss: 0.4053... Generator Loss: 3.8977\n",
"Epoch 2/2-Step 6750... Discriminator Loss: 0.5686... Generator Loss: 2.4416\n",
"Epoch 2/2-Step 6760... Discriminator Loss: 1.4201... Generator Loss: 0.9679\n",
"Epoch 2/2-Step 6770... Discriminator Loss: 1.9880... Generator Loss: 1.1824\n",
"Epoch 2/2-Step 6780... Discriminator Loss: 0.7021... Generator Loss: 3.8395\n",
"Epoch 2/2-Step 6790... Discriminator Loss: 0.5372... Generator Loss: 2.7730\n",
"Epoch 2/2-Step 6800... Discriminator Loss: 0.6950... Generator Loss: 2.6168\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dc43e1080>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 6810... Discriminator Loss: 0.6412... Generator Loss: 3.2091\n",
"Epoch 2/2-Step 6820... Discriminator Loss: 1.2548... Generator Loss: 1.8086\n",
"Epoch 2/2-Step 6830... Discriminator Loss: 0.5971... Generator Loss: 2.0719\n",
"Epoch 2/2-Step 6840... Discriminator Loss: 0.8948... Generator Loss: 3.3392\n",
"Epoch 2/2-Step 6850... Discriminator Loss: 0.7414... Generator Loss: 2.0902\n",
"Epoch 2/2-Step 6860... Discriminator Loss: 1.1879... Generator Loss: 1.7849\n",
"Epoch 2/2-Step 6870... Discriminator Loss: 0.6110... Generator Loss: 2.6223\n",
"Epoch 2/2-Step 6880... Discriminator Loss: 0.8266... Generator Loss: 1.6606\n",
"Epoch 2/2-Step 6890... Discriminator Loss: 0.7198... Generator Loss: 2.5820\n",
"Epoch 2/2-Step 6900... Discriminator Loss: 0.8805... Generator Loss: 3.3767\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbcbe4f98>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 6910... Discriminator Loss: 0.7295... Generator Loss: 2.8159\n",
"Epoch 2/2-Step 6920... Discriminator Loss: 0.4606... Generator Loss: 3.3780\n",
"Epoch 2/2-Step 6930... Discriminator Loss: 0.4996... Generator Loss: 3.2139\n",
"Epoch 2/2-Step 6940... Discriminator Loss: 0.7106... Generator Loss: 2.6001\n",
"Epoch 2/2-Step 6950... Discriminator Loss: 0.5668... Generator Loss: 3.2564\n",
"Epoch 2/2-Step 6960... Discriminator Loss: 0.5170... Generator Loss: 1.9829\n",
"Epoch 2/2-Step 6970... Discriminator Loss: 0.7273... Generator Loss: 2.1486\n",
"Epoch 2/2-Step 6980... Discriminator Loss: 1.0883... Generator Loss: 0.9216\n",
"Epoch 2/2-Step 6990... Discriminator Loss: 0.6871... Generator Loss: 1.9921\n",
"Epoch 2/2-Step 7000... Discriminator Loss: 0.9391... Generator Loss: 1.9562\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db6a4b6d8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 7010... Discriminator Loss: 1.3753... Generator Loss: 2.6379\n",
"Epoch 2/2-Step 7020... Discriminator Loss: 1.4447... Generator Loss: 2.1549\n",
"Epoch 2/2-Step 7030... Discriminator Loss: 0.6425... Generator Loss: 5.0186\n",
"Epoch 2/2-Step 7040... Discriminator Loss: 0.6218... Generator Loss: 2.4475\n",
"Epoch 2/2-Step 7050... Discriminator Loss: 0.4471... Generator Loss: 2.5640\n",
"Epoch 2/2-Step 7060... Discriminator Loss: 1.1542... Generator Loss: 2.3678\n",
"Epoch 2/2-Step 7070... Discriminator Loss: 0.9305... Generator Loss: 1.9455\n",
"Epoch 2/2-Step 7080... Discriminator Loss: 0.9533... Generator Loss: 2.5780\n",
"Epoch 2/2-Step 7090... Discriminator Loss: 0.6289... Generator Loss: 2.9755\n",
"Epoch 2/2-Step 7100... Discriminator Loss: 0.5540... Generator Loss: 2.8860\n"
]
},
{
"data": {
"image/png": 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Mjne//fbbgdpZmq7xHSeD+IXvOBmkXTr3unfvHtcan9fW3QDrr78+AM8//3wa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\nphM9AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbcf4c320>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 7110... Discriminator Loss: 1.1568... Generator Loss: 0.4607\n",
"Epoch 2/2-Step 7120... Discriminator Loss: 0.5529... Generator Loss: 2.9060\n",
"Epoch 2/2-Step 7130... Discriminator Loss: 0.5750... Generator Loss: 1.9021\n",
"Epoch 2/2-Step 7140... Discriminator Loss: 0.5779... Generator Loss: 3.6781\n",
"Epoch 2/2-Step 7150... Discriminator Loss: 2.8000... Generator Loss: 0.6050\n",
"Epoch 2/2-Step 7160... Discriminator Loss: 0.6821... Generator Loss: 1.6332\n",
"Epoch 2/2-Step 7170... Discriminator Loss: 0.5249... Generator Loss: 4.1212\n",
"Epoch 2/2-Step 7180... Discriminator Loss: 0.7032... Generator Loss: 2.5562\n",
"Epoch 2/2-Step 7190... Discriminator Loss: 1.2260... Generator Loss: 2.8265\n",
"Epoch 2/2-Step 7200... Discriminator Loss: 0.5276... Generator Loss: 3.0845\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbd295da0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 7210... Discriminator Loss: 0.5545... Generator Loss: 5.3410\n",
"Epoch 2/2-Step 7220... Discriminator Loss: 0.6709... Generator Loss: 1.7314\n",
"Epoch 2/2-Step 7230... Discriminator Loss: 0.9212... Generator Loss: 1.9842\n",
"Epoch 2/2-Step 7240... Discriminator Loss: 1.1896... Generator Loss: 1.3528\n",
"Epoch 2/2-Step 7250... Discriminator Loss: 1.8491... Generator Loss: 1.0279\n",
"Epoch 2/2-Step 7260... Discriminator Loss: 1.1249... Generator Loss: 1.9241\n",
"Epoch 2/2-Step 7270... Discriminator Loss: 0.6457... Generator Loss: 1.8654\n",
"Epoch 2/2-Step 7280... Discriminator Loss: 1.0057... Generator Loss: 1.0534\n",
"Epoch 2/2-Step 7290... Discriminator Loss: 0.5613... Generator Loss: 2.1446\n",
"Epoch 2/2-Step 7300... Discriminator Loss: 1.4272... Generator Loss: 4.6810\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc851048>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 7310... Discriminator Loss: 0.4885... Generator Loss: 3.5997\n",
"Epoch 2/2-Step 7320... Discriminator Loss: 0.5702... Generator Loss: 3.4760\n",
"Epoch 2/2-Step 7330... Discriminator Loss: 0.4456... Generator Loss: 2.9317\n",
"Epoch 2/2-Step 7340... Discriminator Loss: 0.6239... Generator Loss: 4.1287\n",
"Epoch 2/2-Step 7350... Discriminator Loss: 0.6633... Generator Loss: 1.7932\n",
"Epoch 2/2-Step 7360... Discriminator Loss: 0.7431... Generator Loss: 2.4085\n",
"Epoch 2/2-Step 7370... Discriminator Loss: 1.0659... Generator Loss: 1.5433\n",
"Epoch 2/2-Step 7380... Discriminator Loss: 0.5794... Generator Loss: 3.3885\n",
"Epoch 2/2-Step 7390... Discriminator Loss: 0.8348... Generator Loss: 2.1125\n",
"Epoch 2/2-Step 7400... Discriminator Loss: 0.6078... Generator Loss: 2.4070\n"
]
},
{
"data": {
"image/png": 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KdMW3LcetZlGrK77WS4TktdexNQCrgdi2UrfG5Pbt2wPJeoB6X+pjTcVqGy+9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\nFXUGlfwAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc5e4b70>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/2-Step 7410... Discriminator Loss: 0.5395... Generator Loss: 2.3707\n",
"Epoch 2/2-Step 7420... Discriminator Loss: 0.5152... Generator Loss: 2.2250\n",
"Epoch 2/2-Step 7430... Discriminator Loss: 0.6904... Generator Loss: 2.1426\n",
"Epoch 2/2-Step 7440... Discriminator Loss: 2.0568... Generator Loss: 1.2556\n",
"Epoch 2/2-Step 7450... Discriminator Loss: 0.5332... Generator Loss: 3.8167\n",
"Epoch 2/2-Step 7460... Discriminator Loss: 1.0589... Generator Loss: 1.5023\n",
"Epoch 2/2-Step 7470... Discriminator Loss: 0.5698... Generator Loss: 2.2062\n",
"Epoch 2/2-Step 7480... Discriminator Loss: 0.8149... Generator Loss: 2.4610\n",
"Epoch 2/2-Step 7490... Discriminator Loss: 0.6703... Generator Loss: 2.3635\n",
"Epoch 2/2-Step 7500... Discriminator Loss: 0.4998... Generator Loss: 3.8136\n"
]
},
{
"data": {
"image/png": 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33wbggQceiDJNU00jHTt2BJK3r37zm9/EsVYZAujXrx8AV199dZSp085uVSUl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\nd5wM4gvfcTLI/wGlHMHhcSHN4gAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db7e5b2b0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"batch_size = 16\n",
"z_dim = 100\n",
"learning_rate = 0.0008\n",
"beta1 = 0.3\n",
"\n",
"\n",
"\"\"\"\n",
"DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE\n",
"\"\"\"\n",
"epochs = 2\n",
"\n",
"mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))\n",
"with tf.Graph().as_default():\n",
" train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,\n",
" mnist_dataset.shape, mnist_dataset.image_mode)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### CelebA\n",
"Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces."
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 10... Discriminator Loss: 0.6948... Generator Loss: 3.3452\n",
"Epoch 1/1-Step 20... Discriminator Loss: 0.5769... Generator Loss: 2.6424\n",
"Epoch 1/1-Step 30... Discriminator Loss: 3.4842... Generator Loss: 0.3680\n",
"Epoch 1/1-Step 40... Discriminator Loss: 2.2605... Generator Loss: 1.0264\n",
"Epoch 1/1-Step 50... Discriminator Loss: 2.2086... Generator Loss: 1.0365\n",
"Epoch 1/1-Step 60... Discriminator Loss: 1.3705... Generator Loss: 1.3561\n",
"Epoch 1/1-Step 70... Discriminator Loss: 0.8398... Generator Loss: 3.7831\n",
"Epoch 1/1-Step 80... Discriminator Loss: 0.9082... Generator Loss: 3.3262\n",
"Epoch 1/1-Step 90... Discriminator Loss: 0.6524... Generator Loss: 4.4925\n",
"Epoch 1/1-Step 100... Discriminator Loss: 0.8634... Generator Loss: 2.0833\n"
]
},
{
"data": {
"image/png": 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KuX1tmekkTUdLLWNwupkknmqn5eaacHhCaChllifb/fGAZIXrsNNx57QlCGlX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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dc43f05f8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 110... Discriminator Loss: 0.5612... Generator Loss: 6.2238\n",
"Epoch 1/1-Step 120... Discriminator Loss: 0.4266... Generator Loss: 4.6407\n",
"Epoch 1/1-Step 130... Discriminator Loss: 0.5806... Generator Loss: 3.8676\n",
"Epoch 1/1-Step 140... Discriminator Loss: 0.6074... Generator Loss: 3.3198\n",
"Epoch 1/1-Step 150... Discriminator Loss: 0.6334... Generator Loss: 3.1457\n",
"Epoch 1/1-Step 160... Discriminator Loss: 1.4266... Generator Loss: 1.7842\n",
"Epoch 1/1-Step 170... Discriminator Loss: 0.6803... Generator Loss: 4.0512\n",
"Epoch 1/1-Step 180... Discriminator Loss: 0.5272... Generator Loss: 5.1044\n",
"Epoch 1/1-Step 190... Discriminator Loss: 0.8611... Generator Loss: 3.0120\n",
"Epoch 1/1-Step 200... Discriminator Loss: 0.5037... Generator Loss: 3.2993\n"
]
},
{
"data": {
"image/png": 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00loI4DmMsJuOUupGADcCgIocdOkRIkSIUcCIf/hKqVIAfwDwD1rrXuV4KrTW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\nDtWrfw2AAi9TvdZ6rxk3A6g/6NYaKPQ0DA394aEzJqY8DBm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iD4noZi0vI6JXiOgj/b80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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db7bcc278>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 210... Discriminator Loss: 2.2002... Generator Loss: 0.6803\n",
"Epoch 1/1-Step 220... Discriminator Loss: 2.9776... Generator Loss: 7.8913\n",
"Epoch 1/1-Step 230... Discriminator Loss: 0.9352... Generator Loss: 3.2061\n",
"Epoch 1/1-Step 240... Discriminator Loss: 1.5503... Generator Loss: 0.8233\n",
"Epoch 1/1-Step 250... Discriminator Loss: 2.4947... Generator Loss: 5.8038\n",
"Epoch 1/1-Step 260... Discriminator Loss: 1.3574... Generator Loss: 3.7615\n",
"Epoch 1/1-Step 270... Discriminator Loss: 0.9844... Generator Loss: 1.6795\n",
"Epoch 1/1-Step 280... Discriminator Loss: 1.3204... Generator Loss: 1.8406\n",
"Epoch 1/1-Step 290... Discriminator Loss: 1.5406... Generator Loss: 1.4763\n",
"Epoch 1/1-Step 300... Discriminator Loss: 1.6007... Generator Loss: 0.9111\n"
]
},
{
"data": {
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9nLvbh4Yc3OcxqraBHK6I1rzSvZ21FULcYyikUTxUWXnERztWxM1OC5rt9atv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\nnrEroR3UEA/BrMmuU5X7Mi2G6Lqx774cNhzxiegAgE8DuN85dy+AEKy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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc637358>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 310... Discriminator Loss: 1.4419... Generator Loss: 0.5854\n",
"Epoch 1/1-Step 320... Discriminator Loss: 1.4496... Generator Loss: 1.6651\n",
"Epoch 1/1-Step 330... Discriminator Loss: 1.5146... Generator Loss: 2.6899\n",
"Epoch 1/1-Step 340... Discriminator Loss: 1.1532... Generator Loss: 1.6639\n",
"Epoch 1/1-Step 350... Discriminator Loss: 1.6224... Generator Loss: 4.0044\n",
"Epoch 1/1-Step 360... Discriminator Loss: 1.8819... Generator Loss: 0.6789\n",
"Epoch 1/1-Step 370... Discriminator Loss: 2.3529... Generator Loss: 0.6585\n",
"Epoch 1/1-Step 380... Discriminator Loss: 1.6916... Generator Loss: 1.7879\n",
"Epoch 1/1-Step 390... Discriminator Loss: 1.1988... Generator Loss: 1.9067\n",
"Epoch 1/1-Step 400... Discriminator Loss: 1.2352... Generator Loss: 2.3775\n"
]
},
{
"data": {
"image/png": 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X47YniMDsK7KYgPvSyG+nSoA85DphTi9OJ5MTufOMMSHxj/7vWWv/iTRvShUd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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db76ad940>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 410... Discriminator Loss: 1.3067... Generator Loss: 0.9307\n",
"Epoch 1/1-Step 420... Discriminator Loss: 1.7364... Generator Loss: 1.5132\n",
"Epoch 1/1-Step 430... Discriminator Loss: 1.5336... Generator Loss: 0.5122\n",
"Epoch 1/1-Step 440... Discriminator Loss: 1.1227... Generator Loss: 1.1711\n",
"Epoch 1/1-Step 450... Discriminator Loss: 1.4362... Generator Loss: 0.8495\n",
"Epoch 1/1-Step 460... Discriminator Loss: 1.5072... Generator Loss: 1.4957\n",
"Epoch 1/1-Step 470... Discriminator Loss: 1.5810... Generator Loss: 0.6281\n",
"Epoch 1/1-Step 480... Discriminator Loss: 1.5124... Generator Loss: 1.3238\n",
"Epoch 1/1-Step 490... Discriminator Loss: 1.3301... Generator Loss: 1.0135\n",
"Epoch 1/1-Step 500... Discriminator Loss: 1.2923... Generator Loss: 1.4120\n"
]
},
{
"data": {
"image/png": 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Sk0D9/5WIfuxr2n6JiH7PWnuDiH5P/u/Fi5ePiLwv1LfW/pExZuNrmj9NRD8gx79MRH9I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\ntZhyMjfNAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbd291208>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 510... Discriminator Loss: 1.2858... Generator Loss: 1.0359\n",
"Epoch 1/1-Step 520... Discriminator Loss: 1.2062... Generator Loss: 0.6443\n",
"Epoch 1/1-Step 530... Discriminator Loss: 2.0740... Generator Loss: 0.6347\n",
"Epoch 1/1-Step 540... Discriminator Loss: 2.0029... Generator Loss: 0.9360\n",
"Epoch 1/1-Step 550... Discriminator Loss: 1.6063... Generator Loss: 1.0159\n",
"Epoch 1/1-Step 560... Discriminator Loss: 1.8288... Generator Loss: 1.1525\n",
"Epoch 1/1-Step 570... Discriminator Loss: 1.4487... Generator Loss: 0.8964\n",
"Epoch 1/1-Step 580... Discriminator Loss: 1.6944... Generator Loss: 0.6237\n",
"Epoch 1/1-Step 590... Discriminator Loss: 1.6855... Generator Loss: 0.6829\n",
"Epoch 1/1-Step 600... Discriminator Loss: 2.1247... Generator Loss: 0.6535\n"
]
},
{
"data": {
"image/png": 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pjxdnSU3sabFMuUFQB2Wm5cUBzpLIVdLh2xYCVs4LRvAlIzX/VaieegY8WMdE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\ntqBanwqM1lXEdK1Ha+4aDJtvWZ8ktFaelDRQRwKeY81H2GEiSam2ceq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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db6a6b518>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 610... Discriminator Loss: 1.6402... Generator Loss: 0.8048\n",
"Epoch 1/1-Step 620... Discriminator Loss: 1.1703... Generator Loss: 0.9652\n",
"Epoch 1/1-Step 630... Discriminator Loss: 1.3092... Generator Loss: 1.4569\n",
"Epoch 1/1-Step 640... Discriminator Loss: 1.6696... Generator Loss: 1.1008\n",
"Epoch 1/1-Step 650... Discriminator Loss: 1.5877... Generator Loss: 0.7111\n",
"Epoch 1/1-Step 660... Discriminator Loss: 1.8134... Generator Loss: 0.7386\n",
"Epoch 1/1-Step 670... Discriminator Loss: 2.1744... Generator Loss: 0.7673\n",
"Epoch 1/1-Step 680... Discriminator Loss: 2.2540... Generator Loss: 0.3870\n",
"Epoch 1/1-Step 690... Discriminator Loss: 1.6325... Generator Loss: 0.7615\n",
"Epoch 1/1-Step 700... Discriminator Loss: 1.6979... Generator Loss: 1.1176\n"
]
},
{
"data": {
"image/png": 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UoEwbMhWlm5MFkdJMdA4i0EOghmZWkmSf2r4+t8MHPP9jyGgkrPGX3IPOGc1m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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db6b89710>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 710... Discriminator Loss: 1.9598... Generator Loss: 0.8296\n",
"Epoch 1/1-Step 720... Discriminator Loss: 1.7752... Generator Loss: 0.7731\n",
"Epoch 1/1-Step 730... Discriminator Loss: 1.5313... Generator Loss: 0.7340\n",
"Epoch 1/1-Step 740... Discriminator Loss: 1.1701... Generator Loss: 1.2715\n",
"Epoch 1/1-Step 750... Discriminator Loss: 1.2427... Generator Loss: 0.8173\n",
"Epoch 1/1-Step 760... Discriminator Loss: 1.0936... Generator Loss: 1.4787\n",
"Epoch 1/1-Step 770... Discriminator Loss: 2.0332... Generator Loss: 0.8092\n",
"Epoch 1/1-Step 780... Discriminator Loss: 1.2748... Generator Loss: 1.9173\n",
"Epoch 1/1-Step 790... Discriminator Loss: 1.3099... Generator Loss: 1.0320\n",
"Epoch 1/1-Step 800... Discriminator Loss: 1.5100... Generator Loss: 0.8716\n"
]
},
{
"data": {
"image/png": 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kFWgSTOQ+D+F5SU8dVhTZHIVA+MURZMrJ89QZ6vKgK/LcoyHE1yP93Ij/9CFo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\nHYjw4AcE7ECEBz8gYAciPPgBATsQ/w/S7q6aJBkiuQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db654bcc0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 810... Discriminator Loss: 1.6640... Generator Loss: 0.7023\n",
"Epoch 1/1-Step 820... Discriminator Loss: 1.9084... Generator Loss: 0.7063\n",
"Epoch 1/1-Step 830... Discriminator Loss: 2.1551... Generator Loss: 0.5465\n",
"Epoch 1/1-Step 840... Discriminator Loss: 1.4073... Generator Loss: 0.9880\n",
"Epoch 1/1-Step 850... Discriminator Loss: 1.7260... Generator Loss: 1.0925\n",
"Epoch 1/1-Step 860... Discriminator Loss: 1.6906... Generator Loss: 1.1531\n",
"Epoch 1/1-Step 870... Discriminator Loss: 1.6929... Generator Loss: 1.0397\n",
"Epoch 1/1-Step 880... Discriminator Loss: 1.7217... Generator Loss: 0.6234\n",
"Epoch 1/1-Step 890... Discriminator Loss: 1.5626... Generator Loss: 0.8849\n",
"Epoch 1/1-Step 900... Discriminator Loss: 1.6365... Generator Loss: 0.7064\n"
]
},
{
"data": {
"image/png": 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IiGJYDkWJCIEGOh6n8D4GNSKCc7pimhTI11TIwymee4ZLIJ5/SNpcxPHphM0y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\nCCI++BERRxDxwY+IOIKID35ExBHE/wOB4OBhGjM/ywAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db677f518>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 910... Discriminator Loss: 1.9951... Generator Loss: 0.8262\n",
"Epoch 1/1-Step 920... Discriminator Loss: 1.7126... Generator Loss: 0.7016\n",
"Epoch 1/1-Step 930... Discriminator Loss: 1.5343... Generator Loss: 0.8135\n",
"Epoch 1/1-Step 940... Discriminator Loss: 1.7239... Generator Loss: 0.6900\n",
"Epoch 1/1-Step 950... Discriminator Loss: 2.1409... Generator Loss: 0.4529\n",
"Epoch 1/1-Step 960... Discriminator Loss: 1.6916... Generator Loss: 1.2056\n",
"Epoch 1/1-Step 970... Discriminator Loss: 1.5968... Generator Loss: 1.1107\n",
"Epoch 1/1-Step 980... Discriminator Loss: 1.7231... Generator Loss: 0.7267\n",
"Epoch 1/1-Step 990... Discriminator Loss: 1.6630... Generator Loss: 1.0557\n",
"Epoch 1/1-Step 1000... Discriminator Loss: 1.8460... Generator Loss: 0.5424\n"
]
},
{
"data": {
"image/png": 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avm3LkqfKjjT0U0i+/WwAed8Dfav3M/aQt+Y63rdFGWf75vVq33yqtyF37cPR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\n9XC3pe01p9zGdZ8c01qzbfPnqO7Blt9n84bdQ7MqMnrCKCVIiW4MVQV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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc5a1898>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 1010... Discriminator Loss: 1.5158... Generator Loss: 1.2338\n",
"Epoch 1/1-Step 1020... Discriminator Loss: 1.5908... Generator Loss: 0.7055\n",
"Epoch 1/1-Step 1030... Discriminator Loss: 1.8326... Generator Loss: 0.4710\n",
"Epoch 1/1-Step 1040... Discriminator Loss: 1.7935... Generator Loss: 0.8422\n",
"Epoch 1/1-Step 1050... Discriminator Loss: 2.0195... Generator Loss: 1.3330\n",
"Epoch 1/1-Step 1060... Discriminator Loss: 1.3615... Generator Loss: 1.0103\n",
"Epoch 1/1-Step 1070... Discriminator Loss: 1.7121... Generator Loss: 0.9841\n",
"Epoch 1/1-Step 1080... Discriminator Loss: 1.3754... Generator Loss: 0.8956\n",
"Epoch 1/1-Step 1090... Discriminator Loss: 1.7888... Generator Loss: 0.5945\n",
"Epoch 1/1-Step 1100... Discriminator Loss: 1.5493... Generator Loss: 0.8137\n"
]
},
{
"data": {
"image/png": 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kZmQBtoOIaTLg48R9hNh8nslIn9VBWz9vbfCSrtfUtmwoY9jRpVQINbxdROMY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\nMizrss3tXZ3xX33ZfahZe6MunXJpY1gCSnXLCb9hx8nKaZu9d6gE96b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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc598828>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 1110... Discriminator Loss: 1.7020... Generator Loss: 1.1219\n",
"Epoch 1/1-Step 1120... Discriminator Loss: 1.4937... Generator Loss: 0.7029\n",
"Epoch 1/1-Step 1130... Discriminator Loss: 1.7009... Generator Loss: 0.7746\n",
"Epoch 1/1-Step 1140... Discriminator Loss: 1.2564... Generator Loss: 0.6284\n",
"Epoch 1/1-Step 1150... Discriminator Loss: 1.7295... Generator Loss: 0.9546\n",
"Epoch 1/1-Step 1160... Discriminator Loss: 1.8282... Generator Loss: 0.8065\n",
"Epoch 1/1-Step 1170... Discriminator Loss: 1.3862... Generator Loss: 0.8113\n",
"Epoch 1/1-Step 1180... Discriminator Loss: 1.5680... Generator Loss: 0.7849\n",
"Epoch 1/1-Step 1190... Discriminator Loss: 1.6002... Generator Loss: 1.1626\n",
"Epoch 1/1-Step 1200... Discriminator Loss: 2.1050... Generator Loss: 0.7167\n"
]
},
{
"data": {
"image/png": 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R/SQR/T1jzHPkuuk4c/ahtZNo7m0T0bZsD4wxrxPRBr2HbjppZqkvkPqB1F8n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\nA2egv3IAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db5cb2f98>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 1210... Discriminator Loss: 1.3510... Generator Loss: 0.8378\n",
"Epoch 1/1-Step 1220... Discriminator Loss: 1.6236... Generator Loss: 0.9097\n",
"Epoch 1/1-Step 1230... Discriminator Loss: 1.8415... Generator Loss: 0.8852\n",
"Epoch 1/1-Step 1240... Discriminator Loss: 1.7693... Generator Loss: 0.7753\n",
"Epoch 1/1-Step 1250... Discriminator Loss: 1.2858... Generator Loss: 0.8492\n",
"Epoch 1/1-Step 1260... Discriminator Loss: 1.6172... Generator Loss: 1.2246\n",
"Epoch 1/1-Step 1270... Discriminator Loss: 1.7066... Generator Loss: 1.0093\n",
"Epoch 1/1-Step 1280... Discriminator Loss: 1.5132... Generator Loss: 0.5467\n",
"Epoch 1/1-Step 1290... Discriminator Loss: 1.7384... Generator Loss: 1.1565\n",
"Epoch 1/1-Step 1300... Discriminator Loss: 1.5952... Generator Loss: 0.9479\n"
]
},
{
"data": {
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pDZcfPajXHUpxzj2QXd6fKxycLAXqn4rf8vIo1G3iQuFZJEH9JpacOvIvAlge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\nTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dadc4be80>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 1310... Discriminator Loss: 1.5791... Generator Loss: 0.7702\n",
"Epoch 1/1-Step 1320... Discriminator Loss: 1.5233... Generator Loss: 0.9316\n",
"Epoch 1/1-Step 1330... Discriminator Loss: 1.6127... Generator Loss: 0.7162\n",
"Epoch 1/1-Step 1340... Discriminator Loss: 1.3950... Generator Loss: 1.0200\n",
"Epoch 1/1-Step 1350... Discriminator Loss: 1.6048... Generator Loss: 0.9939\n",
"Epoch 1/1-Step 1360... Discriminator Loss: 1.5611... Generator Loss: 0.7043\n",
"Epoch 1/1-Step 1370... Discriminator Loss: 1.2425... Generator Loss: 0.6983\n",
"Epoch 1/1-Step 1380... Discriminator Loss: 1.4157... Generator Loss: 0.8952\n",
"Epoch 1/1-Step 1390... Discriminator Loss: 1.5383... Generator Loss: 0.7594\n",
"Epoch 1/1-Step 1400... Discriminator Loss: 1.3918... Generator Loss: 0.7269\n"
]
},
{
"data": {
"image/png": 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7oKmXlTjUZQuaSfXHf/in+fZWl/dfBiIvES/YGUFprKCXwUTRxg683CZCbFnw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\nfzlA6ukQm8ELAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db5cf85f8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 1410... Discriminator Loss: 1.5596... Generator Loss: 0.8909\n",
"Epoch 1/1-Step 1420... Discriminator Loss: 1.2898... Generator Loss: 0.8900\n",
"Epoch 1/1-Step 1430... Discriminator Loss: 1.2925... Generator Loss: 0.8084\n",
"Epoch 1/1-Step 1440... Discriminator Loss: 1.5554... Generator Loss: 0.8446\n",
"Epoch 1/1-Step 1450... Discriminator Loss: 1.5379... Generator Loss: 0.7816\n",
"Epoch 1/1-Step 1460... Discriminator Loss: 1.5530... Generator Loss: 0.6510\n",
"Epoch 1/1-Step 1470... Discriminator Loss: 1.4320... Generator Loss: 0.9174\n",
"Epoch 1/1-Step 1480... Discriminator Loss: 1.2774... Generator Loss: 0.9591\n",
"Epoch 1/1-Step 1490... Discriminator Loss: 1.5630... Generator Loss: 0.9092\n",
"Epoch 1/1-Step 1500... Discriminator Loss: 1.3316... Generator Loss: 0.9412\n"
]
},
{
"data": {
"image/png": 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Ca3ZGYf3FJ7n2u7Gi2X7Djl7bdMBzkAeitCj5DQZyFdKJHqdZ5XMvg1bAzjus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\nXPEjIiYR+77i1y2K7bEzaripLJ7eeX/9pf8CALx02RNqWg3yZ4v+Ek5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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db618c358>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 1510... Discriminator Loss: 1.5263... Generator Loss: 1.1853\n",
"Epoch 1/1-Step 1520... Discriminator Loss: 1.4308... Generator Loss: 0.7497\n",
"Epoch 1/1-Step 1530... Discriminator Loss: 1.2168... Generator Loss: 0.8292\n",
"Epoch 1/1-Step 1540... Discriminator Loss: 1.7063... Generator Loss: 0.8995\n",
"Epoch 1/1-Step 1550... Discriminator Loss: 1.4971... Generator Loss: 0.7941\n",
"Epoch 1/1-Step 1560... Discriminator Loss: 1.3980... Generator Loss: 0.8901\n",
"Epoch 1/1-Step 1570... Discriminator Loss: 1.5415... Generator Loss: 0.7382\n",
"Epoch 1/1-Step 1580... Discriminator Loss: 1.7079... Generator Loss: 0.7632\n",
"Epoch 1/1-Step 1590... Discriminator Loss: 1.7465... Generator Loss: 0.9167\n",
"Epoch 1/1-Step 1600... Discriminator Loss: 1.5987... Generator Loss: 0.7269\n"
]
},
{
"data": {
"image/png": 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QV/tD7U8hp/0cSkxAuaSEbc3l7gd67hCWHBstXip8+dlva9993r+eaNRmUaIS\nC1Ug3coQOSnLizbEEHzlyyzR/vv/5qtpG9wyWrtwmfs4o8/QR97PiT2PPaKJOwVfd4p7fPx4oLDe\nEbaDA/X3t0H628ryrApQ3xF9rgS6OSHWf0PknpTSehcRfZVOWE3ncEGN/nFfySyzzE7ZTkzuGWOq\nRPS7RPT3rbUdfLNYa60x5th8QCyo8egDq9bzXUlhideGaLOizE5r5zS++RJEmzXFBRhCQT0XyTWA\nt//TOzfS7bpINIfgyioLyfW5v/pW2tYAdZrH3slv6Qr2TaRoqhBTnojcdeCpW3A4ghRdp6YDM6SR\nlOEQiJ4RRL15kmKLKalOBacJCju5gr5EuxIFWcI6hJ4rNQ0agUA+JRL7Hk/0mEHZnVuPM4pBx0+i\n6zyIU5faFzTEfASQ504khHAyAbQhEY0FUPIpQYpuGHI/R7kQPhdi0ddrCEEeyIGqXk9nyF3R7Gu1\ntb/zXXcNum+A4yblq8uVhbRttsyE4CrkIDR7Ons70nO+oe7fmiAKa/S6I3DbuvTrCLQIx0M+Zrup\nz1AbUF4g41bNHy2sUpFoSe+tnPEN6zz9LhH9hrX2X0nztlTRoderppNZZpl9f9lJWH1DRL9KRC9Y\na/8xfJRV08kss7epnQTqf5CIfoaInjXGfFPa/jv6LqrpJIml/tj5jxmuAHImP10GKDyaKSoMq0h1\nmXaoMG0k4WYVKJkcJfo+u9VkGH7QVfjkoqqWO5roMj+r0G1P/LbTIOrz6DLDuKVZ9e3v9/mcGz2A\na4fKFMv1HBpm3h8C6mgAcNsIyYWy2CMZjhj82gOAuR2RnrYQhZeTHFoDCTc+OPXdUiAo6vWMx9yP\nYV+XLlvb6l9vSppsMIFoszwvGXJQ+y7aV2Jsc4tpoB5EPFYX2KffjaBiTwh+dXk2yjl9OPIFPv4Q\nBg6yV8kzPF52osumgUD9zjZEf67y8mLsQ/lqo/ER5TzD+cqcxh089SOspvPwe59M23pNVcEp1fg5\nKkyrRzuX96Vf4LvXrlEssRKDtvZtd53HqglVfgb4bIl8egTPWEGiHx05elKofxJW/0t0/0jArJpO\nZpm9DS0L2c0sszNopxqyGycJtV1YopwaIlNpIlAmBiZ5aRp8whu8z94Ei1Qy7FkCGPyuVc2B7onv\n8+bmTegJH3/tnCbm1Bvz8KkkyoALvGO5H1sQ+vvtLb6WG7tQTjuGC5KCn/aQKkoo16pehF5P2WAv\nOJrw4QnL/ou9AAAgAElEQVRsLxbVwzEG7fq2qMaYRNnenPj2CbwDhaqy0kags+8pRLddhsZRqNC3\nABr7U2WByYkyzR25FyFA0ua6qhQ9KyG05ZJe45UCx0fcaOp57mJ2k5FELkg6Ilm+daFsdwL1IV3S\nS2VP4yjWcxynsTMPMQI9huVRPIJ9IQRWdBACYNsTeR4NiKeWyro0KeS5b3mIfyDJ+z+kfQljbSx/\nN4JS4GNh8AsJJCL19DlYb/E9bQ4A/ouHy/1kTqi1mc34mWV2Fu2U5bWJxu7tKVFmqC03lPRHr6hv\nzkcuqT/1GzfYY3gD3pJOY2wfQqk6sb6NVxZ5dnlw5VLaZiQlNoa3+j2o4VfMi38ekk2eFznkr72q\nJZd3WtyPzkD7E4Z6PUkihBO+hi2TQpFV0gyTb4wkzVisviNtfkFnjBgUehz5N4TabCUnVw0IZNTV\n84yd/hv43wOZYQtA+NUmOjcURW1nMqUk1svrHCfxF9/ScbmxCdFmY0Yml1c1qi1o8nh9685m2jaA\nenyFstxzSP8dCXqqaFAn9RV8pTp9e5B4tdPmpJo726CQNOD06jJW8alqPMG+EGuv/MW/TttefP4W\nERFNQX8eWNPS5tOz7OcvNrRqUSh6jBEQxNPwXOflenNGEW1eUsyjoaK5O/t6kesdPmZnos+TqGtT\nTwYgyeS1M8sss/tZ9sPPLLMzaKebj2+ISuJLtuKTDzCcVXyQZRCSfOjJd6fbT15nmPzcgcKfKHH5\n7QrbX7yjkt07BwxFYwjp7Yjo4XAIYo4Ara+d46SLhx9Wv21UYGjcGilcbg2YSEKizQJRpF5QlAiP\n5HsQPptA+WshsSzEIjhXfACJRkkA+7sc/0D3MUI0GSg8OYCEkO4BX3sFKuBUZhnCY/lpG+mSwpcw\nXyzRvT9kAm19DwhOGI/FWYb4U8uqkdCS5PEOcJ6VOSVay3XezscK242Qov/0vdq3z31On52n5bZ0\nc+DjLvKSLilCGWy5PTkgOr2Gpplcf+E6ERF99o/+Im3r7vDz9on3fChtqzXW0u3BkJcuWzsqztoJ\neXwN5PpfuaDL1nOLPC7FGfD913jJsTHUZ/UbAPW3RXgW41QieY4CCYk+piDRsZbN+JlldgbtVGd8\nSog8eTP7kmiQB+UWv8LuqgRIEH9aXVgXH+T0yvM3N9K2kaTqrkCCxIOXlMibnmcSZn1HZ6R7Ld7f\nryrBg6m1P/AQF2K48IgSOOcTLqpwA+rpNdtMNoYENet8mL0lMcgCgUnHlP32DRB1A57lJsBcheK+\nyRs9dgi+rJEcP4ToRVNgoihfhBp94G5yRF2hoMRWTkhNjNbK1XVGcpLcYyAja2U+zzuWZ9K2Ql7P\nubTIM30ENfi2JUGlVAJFISAZ86KA5I31GoMxf/cTezpXfeondXaP5PBff7e67v7yBSYpRyOd8ZuW\n79lMov0pWp3xZ0Vp6cMPaQ2+wlXu2xMf+EDa1risKdthyCRu70DHoLfP50kgoWlmVglOR2CPJ9rf\njiC3HXBZjgiJPD5WBElqTmvPF/fhW6bAk1lmmf37Z9kPP7PMzqCdKtRPYkPDtuSJCwS1kHM9EP+6\n7UBkEuSgN2Z4WfCuiwrNmm2GjctzumRYW1Y/tFNbHk+UdJuZ4gSMABJYJhP1xVvxwVqIUGtIWelH\nVrSs92SP4dwBVNcpFxQab4jKSq+nPvtIYHkA8gVLdT3m1sYtPjdUlhl2hKQaA3EYAtEnBE9/qMuI\nA1FxiQE25iEKLxa/bzQGcRTL5zlUuxCWJhOB2x3QDyhIpOG56aPRh0RElZKUEs/rcRYEjl5tQGQe\n9LMgegnJSK8x7kssw40f0H1+UPUU8g/y/avCPQ1DJoNHffWV9wbc9w5Id492VYkplASYpRVdAvmh\nRFMGQCqHek+d2rs1WPWJx8oDVaQYIHqvzefvQ769S7yahSXo5RkNXHD5PkNI0slLks6lOV5GbMOz\n9lqWzfiZZXYGLfvhZ5bZGTRjTxrV/xZYozZtP/SejxER0YEILe7saUJHf8AwxQP/brWk7OuiMK7z\nwPRbycffgPzonZYy+D1hoCNwcDrEFUOBywS4bF/WB8Yo5PVFzHBm5mLa9uBlLsh5DopIGkiK2RQf\n7G4TZLQiOU5NzzdTUK2A3XWWPDgAPfVmi8OFByBMmqBGu4Qt2wTbGA4eInmx2KIkN2FZ7+MIYQwB\ndc/K4WO6D7XJHv7PkYO7Q+KTh3EURuom5CHHf2WWPSwPn1OPQXuoYdoHkmCE/TWuoCRcty/HxnLS\nCVRmcs/GCCrcpGHmsDKeAGwfCauPYdY5J1zqoxwafC7Pk/se7h/DNeTBQ7Is4ecPgcfh8ir/JjwR\ndv0/f+3XaH1z83W5/WzGzyyzM2inSu5FSUJNIcI293lWbjZ1xg8nXekURI6F+lafKjNJMzbq+3RK\nJp2xzpC9oRJ1IyGkyCAZ5lIZMfUSfMKpXx1mjzRZRY9zb3qNW6BuXK6kfVs/YOLs7qvq+x8N+Lqr\nVd1nsa7++bjHhOEeKBL3x3w9IdTgo0OpvmyosONGMAd11lAgNXL7H5oNJQIQpuIIIwzJzfgwOx/Z\nOLz/cX7lmI7KpCNKcMhiEilp2hYRzVZL2/a7Oh5tuc95mGGLnkuX1bYpqaATAkEGuU0Uy4Vgf0JB\nRWECqkiACMI0ahQUjtLd9dwGkEUsMR7jCI4jx0Q0EsBz6wkCvXJZZ/yyRF4OmjIW9mSO/JNo7hWN\nMX9ljPmWVNL5n6X9kjHmq8aYV40xv22Myb/esTLLLLPvDzsJ1B8T0cettY8T0RNE9GljzPuI6B8R\n0f9urb1KRE0i+tnvXTczyyyzt9JOorlnicg5MHPyzxLRx4noP5P2Xyei/4mIfvm1jpUQ0VAgVF/0\n5w8pzXiu5LUSGtWK+ufPn2OCp7qgbfv7nANtgREsl5UUypd4u1bWcEorop4++LW7fSXORn2GTUMs\n7eyIPtB17wwYlncBml25vJZuV/oMu8KXnk/bxiPOQfcgaWgYqPqP09gfhagQI39xCURqjrCqQwWb\nvIREV6BQJi5tnHzNCMUrJed9iPATILGDpUgIO3HHEkDsQ+SekGAh7OOWWmNoQx93kpJ/ULFHiNg2\nFDftQN0DN0YNCFFuiNZ8sajLrweXOAGsB8Rgq6vbXYlvsFBM9J7oLez31I8PjwEVpBR2Pq/PU9WF\nP8P4TzWglLgswXZ2t9O2kQiFergsxVgTeSYKFY0xWL3AMSm7lvvm+yej7U6qq++Lwu4OEf0pEV0n\nopbVguvrxGW1jts3raQTRZPjvpJZZpmdsp2I3LOcQ/qEMaZBRL9HRA+e9ARYSadcnbIk6aSeRIRV\n4S3ZKLNr4nxdo8DaEaTOerwdQvJGrcSz7QPn9C04U9K03sY0z/QPXlY3XEkSehogh3wPZKRv3uAk\nnpfvKvEYSz7n9XuqGjMx/Lb2E9XPe/za+9LtKVHM2XhGk4aGba7tloSqDTcZ6hg4BIT6biYl1dRQ\nRrkg6bgzMLOVZLuYA9IMtNwq4kaKEDrIVAtSeDQa6z57A753EaIEmToaIJ6I7rNYvjsGAs3IfNOB\naL3hIZUitw1VaKSsuEdQ8w6Ix7IgjotTOpYzFadcpGhkvs7bB1AJpwnIoSWl2H2YdQcj+S4kW1Ug\niPLqNCPQtUWNwJyTClDlhqKwpTV9BtcltfyL30DNbd52CIKIaDSCuoqSDGZCRR7VCn+3LQjPmLdw\nxndmrW0R0ReI6P1E1DAmHZ1VItq4746ZZZbZ95WdhNWfl5mejDElIvokEb1A/AL4j+VrWSWdzDJ7\nG9lJoP4yEf26YXbLI6LPWGv/wBjzbSL6LWPM/0JE3yAus/Wa5nuG6oKRekV+5yxDeep3XmEhxCKU\nQv6TZ++k26/e4ei88+c0Secj736UiIguzF1O2y4uK4SfEhhWn1Vyz2HmHGgBhKH2Y/gk55Dv7Si5\n1xnxTn/0tBJ133yZ1Vq8SJM85qcVfp5fYsWVWy88nrZt3vh9IiKKQo00HI8Voge+SxBS0jOSKL0E\nCn/mIZGmIjBvqqDHyckYIgTPwT6LkkcfQBlsl0+y31es3+lCgUzp0xjEHp3buAFKMyGQnfHRcIE0\nMs0H8g51i1I/P8D/UGB2GcqDD2DacqWj56c0JqJR5XFpAVn56g4vsb4N+gwdSG7qiAgpko2uG3XQ\nW1+e0kSaT15jgu0dV5XmOrfCy8kAYjTy00ri3r7HA5L0dFlKIcduDEGhcwwkr5MEv3HvVtp2IFWU\nyEUAvoWVdJ4hLo39ne03iOipE50ls8wy+76yLGQ3s8zOoJ1qyG4pH9DDFxhyn88zfvrwFQ0/XLrE\nUOnp559J2zxPYVi9wO+pp64o1P/Qk1zLfnZWYXs5UGhXkEKS+RJIXqWJI8rk5/MKkUqyKpiCsFpX\nvLA/VNFIGkl47Uhh4zTpMc8v8Xd/+KNX07Yv/D57H4Yd3Scg9U0HApMR+jrojCCuEOitmxPhyDmA\nuYWA91mu6PdqJT3q+RmGzNW6MshO/WoMMaxhW1nllevs5Wi1lYkeCjNfggSUXdBQGEpzAgz+WBKm\nAoCl3iGEejTzx3k2pmDpEgNbv1BhqDtX0zFwgqRjKLIaRUelz1xteSIiKxDfQPJSReI+rjUU3r/z\nojL4T1zjJd3Cqj6DU0s8ruhRmMT6bEwRw/q1hn6+M8uegO0RyG2BJoELRW82dfl7b4e9TPW00Gym\nq59ZZpndx051xi/kA7p2nsmM2mUWzvzoRz6Wfu4EJD//zFfStnxe301PXOJ9nnj4Sto2U+cZtJTX\nN2ceUmN9IaSSLirN8B8vULLmEJE04VkOA90CqXiyMqUz5JyQaZvb6u/PjZW0mylz39/1oBKHKxJ9\neKev3s8AUE0YO5lknaXcHIdv6QCIumkRKV2b1xkpEGWjhZLuNV3TfR55gMdyagFQjfizfRDlLENq\n7JW1W0REdO+mXu+W+KMDSA55eUtJ0Y0Wj2X/mLRdD2uFg+l8DzBA0EEu0GsowD1vTPH9KUKS1KYg\nk/FEZ++6RPZVS0ie6nnKIkd+sQKCoRIJulRRNHF1TZHfhUt8T0vTuk8kik7DofrcR4Ai+h2OFB11\noXaeqAPVgXRemVdS2iW2WaPHmYz4+GHe1WnMZvzMMsvsPpb98DPL7Aza6UL9XEAXlhnqn19heDS7\nor7PrXs3iIhov6skyHxV4dN71thfujyt8MeXXGgDRS+NhxCSt22kkMpzxJgPQpJ9Jaz6IpJpAb7a\ngOF0PNJ3pe9CSkGwsrV5XU/9EAtDLsLy4FMf+iAREX3mnhKYeQhNnbgYWlS+kc8xacWAWOeCHH9t\nXoUZbcLXW4OKO7NTCoOnBeKXZzU8OhgydK7Nqr+5mNdQ6IL4scvw1Exty9IG4HRvCNoIIiA5AAWk\nnvTdC4+GJfO1uYsg+Fz6XYLCkzBuFYH4/QmE4g6k3DmIfy6IpsOmr98Dlz1VyzwGjy+of31WYH+B\ndB8XDkxEFEj4eXtzJ23r9ERbAgjVCMjM/T1+ZnZb+tx1+nzPCqDKU4XCrdWyJOkU4QbIszeSWARU\nZnoty2b8zDI7g3aqM77v+9QQGeb6IrvkTEEJk6EQFTjb1csaqVUqiCR3qJ97kYsCA0NiTF5tBt6i\nviR0xBONioohLddKymZi9b3Y6/Gbtd3XtpwoAVkgh158Qev2PfAI11JbOHctbfvoex8jIqI//KyS\nZmOoaee08hKY7mJx56HLqwjuvGlxYcUg7+wUdkoFHb+iD4knHb7G2APSU1xlhkDhCMp+Gxm38ixE\nRko9vdGeklgBdLQmM3EPQNhEZie8Hgj8g3n1qFUgESmCSMaWKDB1It17KOShBwRnUxBiF6L5lqCa\n0LSkakdWnxfn0fRRU29fn51RyC61A3DRWhmraSBPQ4jGbDV5vPp97UdXkNL+WBFvQeUlaVGQWG3h\nXNrmC5HdaTFKTWLIhnoNy2b8zDI7g5b98DPL7AzaqUP9KSkFXK2zb9vzFFLt77CM9A4kx0wlEPnk\n8CIkVRgXEQYMTTwCwQ9JYPHLChGN5yA65EKPFSIWpAwxBnmNxSfcbSpmjUUXIIBCmXu7mme/vcHJ\nOzPza2lbfZ6XOjlY4oRDjDFwufewnHGXAr77hSqqFPE17o0VfvYEgrtCpEREo5FC1cEmX+9cqJ/P\nLHPfbKzLkMlAIfx4IAlEoFyUSCHPEQiBFvN6bbM1T/qj5GprzGOYA3FQCNegocBVkA9IVYYCWK6Q\nh1FxvA8E9tFcjceoNKME5naHn42bPe3PLugPFCWK8rkDXfqV5DzVgnbyGjyX12I+zwgiFl28gWeg\nQhMQsiNJfopCTGji449Q9t3XY1alHxNPx3dblqDeYCTHyKB+Zplldh/LfviZZXYG7VShvvE8yktC\niSeCmglUq7m7xWzmxrbKbUXgxwxHDEt7XYXt/ZcZWkdSbYaIKAc+40qNfdt+XiF6bYGXG3kMlYVq\nN7FA2hD8rhJNSc0DheV370n+9Fihr0/K4rb6DKebLYX/7ZYwtiiRBNuxKk2mFggkLud1WVQvQcFJ\nYd49gHkj8Xb85SsaGtztK+y8vMCxEJ98Un3/8+clh9zXthhE0/NlEeiEpZSr7ZkUdOlRmlWW3BxI\n2OyB4mlXtSgAYUgIN0j1/w14d3xxAUw8fWTRY+0q07gcfCKi6SpD4lxZlzP7guBDWEesN5WNn4i2\nfQUEX2clhLYR6bFnhtq3ywUOlQ4hhmBrj+/zHrD2ly9ozEqjzuN/W8RiiYgmkocfW/1NDCMdo902\nj2Ex0KVwvcznLiVOw4BOZNmMn1lmZ9BOecb3KVfkN5Tzq48hyuubz94kIqI2yB3P+DqD3trj9ud2\nX0nbNto80+/tqQhmNNG5wIk9ehDN99R5fvN+5KHzeh5Qr+lK4sSdps7Uz3R4dn9mXdvuSbWbAqCS\nYk0Tcra2uL9Ly5DGKjECfoCqOxCF4Oq9HVMpBxNzMBkjEPXiB1YX0rZHBem8eEPH5aUtlXJ2ajyd\nAUSOiR96Zl5n7FxJZ75EfN+Fqo7v/JKo8lT1Ph4AZ7rdZ3LwYKzj75JvkNwLvKNkJqrJpCm8QO6N\nQSnUk7TUShmSqKSs+tySRiJevcRp4PM1Te2+eVuTjtYP+P66mZRIKzvl4Bm6dE7v8yOPPMzXNVIi\n9N4NjkJtQpLOGJ6x2zt8zGeaOlg7kvqNYqUe+OWjgMc6mMKoTh6tWFKP3/IkHZHY/oYx5g/k/1kl\nncwye5vaG4H6v0Assuksq6STWWZvUzsR1DfGrBLRjxLR/0pE/8Aw+/KGK+kY36eC+PETgXm7W0o+\nff255/gzIKm6UJzwM09/kYiINtoKtx0xFkNyQggCha4ctA/w6dVdTqYYgL/0Qw8/kG7fFDj/L772\ntbRtXSBxDIk7rvJP4Ctci17Qd2n5PIfqXnnnE2lbbBwUVdgOXGQK1WIs4yzETZQo1Cxi5RoZr9ZI\nr9uXxJRzV1fTttUHLqTbFeebhlXGRKB+OABhUiBAex0molptJQnv3OOxfGUDlkAtvWcT8fn7RSUj\nY6nOg9WPUFHI6RNguWhPnpdaTUOQb+8qMRZKPEelque5eIlVcsp1JSspzxD+oa4uId91UUm3kcgQ\nDUC15+vf5vku6kFlpUDvc3WRl1iziw+nbfNyzP/v9z+btv3Ov/1yuv2ShDh3R3qekdw/cPdTOdZx\naSzyMqVQ0/sYG76ebiRlwulkdtIZ//8gov8GjjtL30UlnYOD5nFfySyzzE7ZXnfGN8b8h0S0Y639\na2PMx97oCbCSzmPvfNgGonDiXDaTvr5Fx30myzAxZ3pGtc2ev/EsERENhhpV5aLwPKh1hsotbqLP\nA5FUl+o9pVlNvdytKUH32bsccXejrX1zx6yWlEDL5/ht2xupK3H3QMm0l5/jmeLeUx9O2+6Jq7IL\nNeCQkHES19jmEnby4P5aAnnnoaQef/7bt9K2jb5U5Knp96bhGh+d5fb3QxKJyTEa8VCjbqKu1btC\nWPVy6h67JzPkCxD91gpBvzDP37V5vd7Yk5kNlGRyMIM6stOCQk9BIuHmppV4LEH567xEvS3C53lx\n4+0O9NwvPccE8l99/WbaZiB6dH6WlXUCIOIO+oyEcmMl6tbv6v6bd7hCTmFGx/KFXX4mfvcl1cfr\n9pQAXZ6ShBvQ5Ls14aSucQjs6EifwYFEitaMnqfnxnog0Y7HixodsZNA/Q8S0Y8ZY36EiIpENEVE\n/4Skko7M+lklncwyexvZ60J9a+1/a61dtdauEdFPEdG/tdb+bcoq6WSW2dvW3owf/xfpDVbSISKy\nEoFlJe/cB1nriki71KoKSR96QKWp7wmM7gwUfuYDhnaVhhIeKF456fM+y6Ba8uilNSIi+uSPfETP\nvagUxa/9yReI6HBOfCARhrMNLYBpfAf1VWAT2ZVBlyHtyxA9t7HDPEcEcBoj1Fw0G6pNO2JyEaD6\n8pwScP2Yz18FWH9+keFgc6SQtTlUCLkrUWh7cO5cmyHt+a6ObwBVjcYDhppJUeFpkGPibKenhUPX\nd3T/nJBXIfi4ZwSi10H6uzs8qhyDhGwgEXv1aR2DhWldEi40uP0dj+jz0hVCdgIJNXMra0REdKGl\n17VzT5eOQ9EiWJrV58kGvDydrN9I225DjMdel8f/IkRWvrjBxOP+QGNSri3rsvWT7/84ERG1ehp3\n8H//698lIqL1HT0PxnO0DzgOw2xq3EHN4+fAF02Ik5J7b+iHb639MyL6M9nOKulkltnb1LKQ3cwy\nO4N2uiG7xlAg7GwgcK9QhiKHIhpZB0j7A4+ozFCvx4Uxuz2FWTmfodnaBWXbp6fVb9s54O0rNYXW\nD65xuOb5KxrKOTWnOul/6+MMZJr3lJEtSt75LLDpWz2GkhakviwkWIyFxb35skJ9B7cxsBJDcXMC\n9YegS+X8/Ivgw15bUajvctFnQAJslOdr21VCm0pTysZflDz9qb76wvebDCEHML7Vuu4TStyDJb3e\ncw0e9w8/oj7sF+q6/3Cb2e3OnkL5aSmcGkba32EIYql01Fzb1csaZu0N1JsyM8f3eX5Rn4OCQPBZ\nX+G0l+clUAG0wJ4Pb6Xbs3McijvV0GdwRwos9Oo6VjnSWIWijGu+qPdnZYk9Rh944GLa9sGra+n2\n+Qt8nttNHZfFWb6G/ZYuGUaQrz8a8jJxAnEsowY/lwWRHrPJWxyym1lmmf37Y6c+4+dFecYRWoOB\nBvUEBW5bWdY35/l5fTd98EF+m+9uq/89L0ozcxVNrVye0ze8kRlgEerp2YBn3YPNF9O2Eqg9fuop\nnr2q++p/39llf+o3t7W/N3o8Q4agPhPH2t/tLs8Qq+CWHYq/28YQMmf0Njg15jJUjOlKpFt3ogea\ngwi1xWWeBYuLimAiUWkJITkmgbudk9l2sK2zx50bPLv0MH4BSLmNLZ5BVy4Ccljk81y98lDa9vGe\nzt7b19eJiOiVV3V8+1ID7mVIv855R2MvcO4K5XlZvawzqD9UkqsvlWuSRPtbkCECdz81phmxzbxX\nBVCfvKIKPYOJq5GoPvdpCaUbG6hqU9TnKYwkEWlbSbm6yHR/9F0aEfr4JUWVXklStmGsQ5nRsTR2\nCGGdrj5htaJoxCkOxW7QTlYlO5vxM8vsLFr2w88sszNopwr1iYg8gWyJEEUoNFkvcHemqkh2QZij\nIJxPv1t96dOSf+3nFN5j0ktPYPKopZBq54AhawE08GtFhXFVSSh58JoW57Rj+e66EkomltBTuL4E\nYiZDqXKyCzkKbQk3HoKmP6bjz8gYYB72RJJwTKzwMgeEohMwLYHKUK4sKjc5XTZZUK+ZtLkfd9d1\niZSzDD890H9PBrqdlxDaBCoHJT0ej0KovvB5ILka53m7QroMeVk0Am5jEg4Moms9lKgk5640NA9+\nCqrdjNeZQDUTHYOSFP+MIx3rqMXfq4FgaH1VyeCJCJa29/R6/JDnx62OjkUAIcYTSa4JYHFyTsjG\ncqxLj35PK+0MNkW8dU8vvCBwHfX7sUZBWWokTDd0yRDbtus4EWXkXmaZZfYadqozvrWWItGHi2TG\n80Bzb14SLKJQ36wH+/qWrAkBd2VZZ+eClHEOcXaAyzI9Ps9uG6LWdvktXKkqCrjRWE+3nYz0889o\nHbzmLs9ygxEkz7jJ5dBLFvTzxLW3ta3H7gkhlUCFmgSSRPKStFG3GnHnyivXi+r6jEHzze+Ji7QM\nSKnI/fAnWJcGZMcljTkHiTBFSTnGJJ1CUZHU2grPsHFBZ8tAxrpaVsIpAI27kczAOXBLlSSVupKD\nOoSoHOPKmB8qky1/wfXpQXUkpxSUB4STk/NMxii9zqgJ5PPIgGsuEhnwHCRE1at8PTvgLk3G+ozW\niMejVtHkmUhQUc+q6lEP5LebXX4GOwc6Lg0Z10ZRXcZt+C1EojjU7umzPN/gC7Hud5SRe5llltn9\nLPvhZ5bZGbRTJvcsWcHHRqB5HpRXClKBpdNUQmQnp1CpINVjbATElyTkeDnFbp6veCfn1Hwiha8N\ned/Ngs+9eVcTbV7dZTLuSy+rqGenxdBtv6twrQ/VYZwZwFqRiFO2m+rfjWIpnwwyK75RWF8XeWgv\np21OgNOH5Uyrq8uUeCzjMoD3uOgPwKHJK+oYxUIagQgOiV4lFXIQVwCJP1MSdXgwhBLToiuQj3X5\n5Q0hAUnIsjyoKjnfcw5kxfNAYqlvWvuW+vlhaRiUdEnhSQTnGGCwke/mIU7CSZXHXb13I0j6io0Q\nmDBwXYmuu7mnY36nqeTf1B0mDOde0UjPskh7l2CpVDRKIoay9AwSPfeiRLFWS7psOgiVfG0POS7E\nbOtzOVXiaNai6CIYezKsn834mWV2Bi374WeW2Rm00w3ZJUOeq00vzHFslVF1r6F4onC611WfcUvg\negJMdMmFAIMPexIrjOsIpCuAjn1J2NMh5EoHFd1/XuS+JrGG9N5uMvzvj4EZF/SKakcW69qHDA09\nqJHBQnkAACAASURBVNriElxQV99CEUSvLIw3htcOua0NwqNNENZ0buoIIHhOvAMeeAII/PNOWLMN\n3g4nY5YrVaFNOxKPRARzCGKawlSHfV2e5SDcOBB5LSDwKZICpSHUsi/4oEkg383BuDnpLS8H1wO+\n+L6MjemD/13YcZT1ShLu72gAklbQ96DEXoExeF36oqtAkNffHugY/NmzDL03IfHnI+99FxERTde1\nvwnIreXl9l8Gff5dWW1G8AxNYlhWWe5Tu6WyX4MhJ7HVG7yMMBgU8hqWzfiZZXYG7aTy2reIqEs8\nuUXW2ieNMTNE9NtEtEZEt4joJ621J5DR5XdNIiTEBEifSNow+mgAs3Jf3oSlPMxCUt0kivUN3RqD\naomQPUPwEx+EvH3nnqZZ+i3wXdc4yiyMIB7AHq3n5s6CwpiHto1EUxGIg8qQQ0YqxcBi5aVaSgzi\nlS5/yAIB5gcw84l4aAI+excRma/Aux2QUuxmRqiD51KmEzhPBxJumoIOfEhocnThpKfXGPvAGEo3\nLWjDhJIIE8BYzZZ0rKfk/vaMIpRGSc4EvvsJpED3xK+ejHSfiiCYEqIrqTrU6yhp1gdloqkKz/iF\nKSXYpom331VWAvPSKqSLi0/eL2kMQSI38N62PmPd7bvp9qpUOrpwUZOF9tscx5J7QUlCpOrcdi5Q\nUnNxkZWCVqVreSSFX8PeyIz/g9baJ6y1T8r/f4mIPm+tvUZEn5f/Z5ZZZm8DezNQ/8eJC2mQ/P2J\nN9+dzDLL7DTspOSeJaI/McZYIvq/RCt/0VrrROS3iGjxvnvDQVKIL0RdCO8eT8QK40TbOqCJvlhh\n3NiYhvzpEcO03X2FbnuQWLJ9IBVLoPrLvoTxYpRor6kwuTNkv+xBF33CTr9fIWsssBEFEQ9F77p2\nWM6QkF0WiCvMue5ILrYZwHnk80ZR4acFoikayXdBBHMi42J29boMLKGMJJ4snVPFmr4LZ4Vw1DEs\nmyoNKS8OUN/dvjFoEhCQkJM2b3daUDxSrsfCtIMlsyt58b9DW0NiOCZw7B4U/JzIeBpY7vQk778A\n8QI5uX8RxFG0W6D+4/Fz1FjVsU4C3qcAROnKeRXjnBJxWAPVgjpSfPOl2wrvw672Pa5ynyKIJaEK\nk5GNhi4j8pBcRhIafP7qD6Utn/rkR/l4Y35mC/8Gyqe/hp30h/8ha+2GMWaBiP7UGPMifmittfJS\nOGLGmJ8nop8nIlpZWT7uK5llltkp24l++NbaDfm7Y4z5PWJ13W1jzLK1dtMYs0xEO/fZN62k8/hj\nj1ojb19XSScXQIKKRO55kIgRjUE5R2YAP6/RUKEgggiUZkqAGGjA7f0+JMVIwogHbqd+X2ePtrio\nIDOWSGSX4wTq8smMbg/N80jHpAmm2uJq48HsO54oKbQryUtRD8gwmcQKkHK634UZ1Cm2QMHivrio\nOj0dvzwQgqUyk0ulGXXdJR0m6PIwc+UxClIQ2WgEctRSXWYM37NQkzDsy/2BZJO8uNcmoY5BF+6z\ng2J5kM6pSdQhjjTW1vPlXkYQNTgY87mrQAbnBBVFgMI64Br1pBx6AcpXdyUdd7elqDEAFFGqMhIa\nAoS5t8ly49s7Kjv+AOj4VQwnPA36Om5bck5rdPwLeSUUcwFvP3hVazFeFq3J7XscAeh7J1u9v+63\njDEVY0zNbRPRp4joOSL6LHEhDaKsoEZmmb2t7CQz/iIR/Z7M0AER/T/W2j8yxnyNiD5jjPlZIrpN\nRD/5vetmZpll9lba6/7wpXDG48e07xPRDx3d4/5myJDnEibEB4uRYUXJqS5VFX72AQLuCCnntxSG\nOfHK2FffZh6AzJSIIhZmFD6N5PMD8N9ixZOGwMr2RKFkS4QuowQiqdSTf8zV8jdcj9Qk+hCWDONQ\nYXt9jo/V2lFo3Bf02oTvNftYTFEIQR+IHVlKIIRuwriFQ94/Dz7hSoXHf3FB2why831JBCnkdXzb\nTfZT7+5rkhMm3FRdBCEkUTkyc6unYznEnHnZLKLsuCwDLcQ8xJH2w8pzBauHVHYcl1VuXHw4dgzb\nd/cY6t/Zu5W2DWIel0KgUJ2AnH32JustvLCjBVNbPYbeE0jkCle0ks7Vh/hY+Zwm7mwc8HH2WxoO\nA0JLVC7x8sCH0tldIU8nA0ca04ksi9zLLLMzaNkPP7PMzqCdrvQWaXhqIrryFmolGmFFY2AmuwAB\nxy1hvD31uzoppihSxnoM/t09YfPHCPfyzKJP4ORFFF+UeIFgDP2Q0NbDoP71hA1lfwPQ2bq+KQRM\nIFHp5x7k63l2Q70Qz8uSY1TQtkJR+26L7HEIyrpEKhupEw/jcuuuhoJ+62X2Mxurn59bYCh6qauP\nxbiP3gPucwyxDFsdhqUhaP5fngcZLqkyA6EVtClxB1vQaMATEwlsH0HufSJth2S04hxs8/4j8O64\n2xeCl8GKzFlpaiptm6rr87TZZoh+e0/hdiTPyfy8SmtVKyr0GcqzE0UaSzIe8zYutW409Twb4tMv\nlHXJcFv6PoDQagMJXCQVgfbAt//McyIyOmKn2mQC3pHXsGzGzyyzM2inOuMncUS9DpNAzW0mQvY3\nVGFnIrXmUB87NlA7TPy2LavEmJnIuwuyXgwkicSSD9pq69s2ENRRhUisQkHTI6ddXbkRpvoyETUY\nqWJKGDk/vhoq8BjPEZjaX+vIQSxPDTPo+wf8Vv/Qp5X4aouw5jfP6Yze6SpCGdel+gtIkeeqjGpy\nic6+q2vaz0Tac0WNgqzU2CdcrevMRl2d+XpNvmc72xqy0ZJov9kpja0ozOpsOpL804ORIoK+i+Eo\nwOMHEWy++MiLBYjxkDLnzQN9XtogW+587aBATmO5vW2I5itYHjcPknDK8/r5mmQV1et6T7oht/Vg\nNt1oaz3Enpw0zCmyqJf4PLMFfR7ed3k13Z5Z4Pvz8v7ttK3ZYUSW90HZKafPYEBM/vV3/jxt23p1\njYiIanLuJERx1ftbNuNnltkZtOyHn1lmZ9BOFepPxiO6e5PD/IciXNjdhcKJMUOqqYJCRWpADrkn\nUAuEM8cC4woQDxD4uu1CTkuok15i+NmActwhAPZqlT+vQVWcAkmIZU8JnFaXQ1dDIA7LEE7sF/j4\nvq/nGcuSwYJPfqWuRFFuX6oErT2Ttk1fYIhdBafuLvh697tczWaqrD5hV3RzBKovCeSll6UkswXi\n0QostRB2EAAJZiXnfmzUZ1+u8Oczs3puU9AQ5O7Y1SNQ6FyXSjsXoZw5hu+S3CsX10FENCflujfv\nqnDpsK2hwxQ6vQRdAiVCGPaBENxLk7VApQkKZHpClM7kQbFJ/Pg10EhogB9/IsvMotXlTCShuLWc\nnnvlklYTChNJohrp83Rlls9zvrii1whLl3KRx7o+r/dkpuoq6EgVJO9kjvxsxs8sszNopzrjd9s9\n+vM//CIREfUk5G57W0mSeyI6dgAptLuQjNKVNMsJVqFJjkbPoQqOq7nskoKkUb6XHL/PscbvSA/c\nK77PM5YPqicR1PCbnmd1lYfeoYGP59c4e3mprq4qO9SIr9+c53p9cf5n07aORCze2lRiazTQWzcc\n8vVs/6W663Z3eXvQ1n36PU0YGY/ZnRdFOtZpstGhojaoKMjmkfbdiHvMQNKKB5WBPOMUlyDZStxj\nCWgAGnDdFYuMgJYXNNLtSpFnyx99x1Np24X3KVIiqft3/faradMtkb2+/rISaJ19RpoY4bYCNfiu\nXuKS4xeWlOC80GBStQoEJtpQnuUuSHtbue4RPKt7+6rG8+9e4H5eh1qM97b4nrSaigJ8GJe1JX52\nViByslphROVume8dvV/HWTbjZ5bZGbTsh59ZZmfQTreSThKTlTLRfYFc/ZaSe2PJiQ/H6otEcioU\n2JSAs9ZBTA+gpgEiz0F8H2WHHfxMUOUGortcKe9DS4F0S/cRyBpNtI8TKBdt9hgabs0/kLZVFpl8\nyvsKyaI9ZY1iKXx586aSd/c2eAm0vq4wNpoonO6J1HOv/XLaNhqwBLONFX4msfbNwW0MnbSvG4ko\nyjmoOSCkEkJ9MvhYuWUVhO6lSwqApbAUMyPev99XMqzd4WtcAlheA1LULf/8za20zSk5TQYQRyFk\ncAUq3KxCRN61C7y8mJ9X4rEgZHChAkVLoeueRJriEshV9kHgXYViowd7Im/e0b5tb/FSIIQS6gmM\ndUFKDF1YVtWkUoXPubethOtJLJvxM8vsDFr2w88sszNopwr1ozimPZF32m1Lkggg8Ead/bsWGjsQ\nbpkT9hwFF2tF9u/ONlSiaGlBISKJcKMPfn5PikLWZzRMtw3SW8MOQ/ftPQ1NnUht8iHmQkuyRK+j\nbDmG7DqvwRBqw488ZohDT6HvYKjbrV0+9zefUZHGloTIdjrK2pNVT8JIiilGE/UOJHFT+oBgExM4\nXD8R3ttj2o5KiR1eEsi12deeQ9CDYo4r4n5olcH3LCCNMQhI9O6rEC+AevkC9ce4ZBMN/tl5vc+L\nF9lHPjuL8F5DaVdXWReyUlNYHhMfcxwpBB/CEnQiY+CVdPnlhE2LEFMyXVf/fE5g+8qKts3N89Ll\nuWdV0rLV1CXfdJ3jQYISJJRN8/M0bLP3yzPHjO0xls34mWV2Bu2klXQaRPRPiehR4nfzf0FEL9Eb\nrKQTxTEdiOzwsM/+x3pZ316lGr/VE3hrtfrgH5ZpIUqUZLm0wDPAO6/pW/vaVVXzNRKBFUZQMUaS\nP2bqINMNk6EThux0z+vnE36rv7CucQXPvXSLiIjWoVKOR0gsyvEm6qvtt5nUaUIaau9AjxnleSbp\nANoYtpmwisf6PQOCjMmEv2sgcsyNoOdhZRXvyFaMikKvI9/y2tQfOv+RyDOH+nP/I2K6LV/nUGIN\niIhGI45WO1R5CeoYdkW+u7WjPnArKbHTEAG4MM3P2CyIjFahUKGbiQ2oCLlwg2ii5/bgecnLvXRl\n0YmIemOJzIMLRx97UYREz8+BAOc7rxIR0VJZEe9z39aS2C71+eWXX9LzXGDf/khqTMbJWxu590+I\n6I+stQ8Sy3C9QFklncwye9vaSVR260T0ESL6VSIia+3EWtuirJJOZpm9be0kUP8SEe0S0T83xjxO\nRH9NRL9A30UlnSiKaHefVwMuuSYCMqYqMKuYU3zkEcBGEU+cLSt0e2KVSZqHVhW6LU/p/sWiqPoQ\nQF7BX/ncUYKGiChfldLbc3pMl4ixBGI68x6TMV/zobBkV4+512H42e9pYskrL4rQZF6JoOJIV0iN\nBhNIk6HC3MmYw26jSJcUga/LHVeUE9Ap5Qu8jJkqKbE1DhUGJ+LfH4BWvydJScnrVAY6RM4dx9O9\nbvizIwmPh6WxleVOX8nMZpeXdEPwcQ8h9/z2bQ7LffXGrbStKL70igfLCIHCAbLKgMeHsiQcDnRc\nEolRCAJdXlVrmohkXVUo6M9Qiriub2lcwcaWhux6ss9sVR8oJ/J6cU6XoP0FTcjZuMdLupugpNSS\n4qeVgPsTRW9dyG5ARO8mol+21r6LiPr0HbDe8p2+byUdY8zTxpinw/hkncoss8y+t3aSGX+diNat\ntV+V//9L4h/+G66kUy3kbX/As6N7M6FraMryDFso6Nu4nMM3M7+tV+o645+b5zfdVEW/51vQphMV\nnAQrfEmbBbegD7psfp5ngAAScqwkmcwV9eX18HkmZgq5tbTt+qYSec/d4Tf8GBSDBm2OvhsBCTMN\nM8mq3JE8zKT9REi9BKICgV0qBDweMxWdHZYWLxIR0WxVx2pj+2a63ZJIuDiGqkUpeQouScLZXyoZ\nHZot/fRTZ3ECCTnurz1K5B3r1uMvy3EgpVgQygiiJIdj3X/QYdfquKN6dEVR2SkBuvKFeLRAao6g\nxPqky5GkEbh/SxU+znRNEWAA0YmRqAtFE0gek5/WCJDDwY7+REJxBw4XQfmpxLM/ouAyEJNFVz68\nrwjTKcCfm+LPkuT10Bbb68741totIrprjHmHNP0QEX2bsko6mWX2trWTBvD8V0T0G8aYPBHdIKL/\nnPilkVXSySyzt6GdtGjmN4noyWM+ekOVdBJraSgSwpEQScUS5GFLAc0ERA2xKsu0wNbzcwppnW8/\nhLznXE6JF1d+eQSJP37gSl7ruUOAp0Mpjx0EkAwkcBFqQ5Jzty7VFEqWCppDbgu8VFjf1+Pc2pBE\njIHCtXEBSETpZ5ygL/woMEO4XZ/isspPPfRY2nZ+lYnH9q4SQfc2FSbnBE57KA6a+tztkTYiIisk\n2KHoMHMU/iOsTxy0PuaY900KSs8DSS/yHHQPyX3ruBRFOLVcgfgGicfIQURdTu55GOm596GEt83z\nc9SYVgheyjMED6Do6KGipzIGIPRDQ5HOCaGIpwFB0YmUIt/bVhK3l+dlRg2uYaqhkYo5+e4Yl6Ui\n+x6W+XyvT6yyZZF7mWV2Bu10C2pYLU/suLYcpHPmJcrMzymhtACpkIs13m6ALLORFN1CoMepgLtP\n1LXTOmpERHlBGT64xEaQujkSpZ9ySd+eJSkdbUCHL5L6dxB8SEFZ3YaXiGeNGNx9LdHK60Dhh6LB\nwhLcbnDWTCQdOUHpZIhGa1wgIqJHLl/W43iMWm62lGxs95T4GotbLIbrOS5y71C67bEz9FGJ8UOE\n4EmLuR2DCDws+SyE7QBqBpLRMTDWudQUXXWlNmIDNARz8ow1QQMwKug9q0kuwPTUAuwjKkOQdhsB\nQnRFLIbwDA2lFmPBh3wCKD8+6jHKGIBqz1CSeAs5RRu5nD6jOUGQdSD8goB/C0FKmGYzfmaZZXYf\ny374mWV2Bu2Uob6lkRAujrMLAdKWhISZA6WSPCSeiKuSckbhac0l3DQ0zbICstlW5KxLRgm/vBB1\nFuC/D/DUty66CxM1GM558D3nVyWIEYgBapZ83l6d1+isVlNkrQeqPFSA169LKx2Cks844u/GUFo7\nSVCckmFpD8ij3U0OqtzY1WixNhCKI0kxDQHqGycoCqRaAASoWwoguRcLxEbf82Fi8ij01OTf+8FS\nieyzeh7HxY3HUEUJlhFNKdfdgqWNlT7twfNyb5uXcYOJHnt+4Vy67S0znJ4MIfZC/PQmp+MbQzBa\nLM9GAlGFeYk4LUNMSh6Sy0gi/wbg5+8PGf67pSYRkR/oWJbK/NzWp/R5cgll6SrkZFm52YyfWWZn\n0bIffmaZnUE79TLZkcCznEuUgdDIqYrol4N8eRdKNovmIS1Pqd/73BxD/BlQ0ykCexpLAU6Qek+x\nZjwGpr+okCwnZbT9QM/tKu144DEoOTZ4pHDMKaEQEVmBgAVfT14R9ZR8Xs9XATjd6zHMG40U6rvQ\nVVTTCWOFlXsSwvn0hsL6g3us4LPXVOg7jNQr4Nh89Ps6At8HJroA4cSBMOIWGO1+yDA4Jo2jON5O\niEHBcCHgCmnSSK97AupMzW1OZOodqF/cFUUdQyzIoC/LpgjGf1Hv35LA6JIPfvoOj2ti4d5aWAIJ\nNPdgfIsuMSiPyxXQahAPVbGAoc58bWNYMhgMKxflqBIsZYdybqdOZTIFnswyy+x+duozvlPXcXNt\ntQL+6AXWzQsHmqbaAjJnYYrTFaugoZYTv6uFgm9JrNuB1JALRyo/3JfqPJiMAm5dGouPfdyB5A3R\nuIvzStCMJdEIybByWYmXnEgn7zZ1pkgkDbYK9eUCmAkORKEnDMFfnZJc+j3MxTjo87WF92AG3OOI\nvWFfxzIEAs7NoHmc3aUKkA/VgOaqmiLq4h66PT3mQEhC9PfjrOMQxf1Kiasd1fnzIBHGF7QRgq+8\n3VISrL3P4xaHeo2RSKqPSAniGYmKK1Y0Im51TonhtVWpdLSiWeZewH0bT/Q44Vhn4ljKsgc5jGgU\nEtvTexJU9XqSKp+zN9BjDgYiPQ/KQiGo+rghKmDgiKAZ30Fac7K5PJvxM8vsDFr2w88sszNopwr1\nfWOoIgRFUcIxz9UVGs8IabczUpiLuo1dSXh4ZVOJr+f2mNha3Fa/+MqCSm0vTDuoCrC+w8cZAox6\n9Y7mSj9zm4miA0jeKEpO9vKCQsBGleHV6jldelSqCuHDkIm1rT1Vvul1xed7SJzSwD4OGkLyjEBe\nJOKwmo0vS5vpnFaWGXk8riGIbSYAOx3URz99QcJDlxYupW0XZvWYr6xfJyKi7kTH3yU33V+o8zgZ\nb3qNNt3nULiwHD8aQR59D3LzZTsEwnYi1YqwRHpRyNVcSZdsbaPLhyhgmO1BCLgrte4DSWjhlxNF\nfM6BwXM7yW2IiSjqs5GIWOoEwoArZU4+G4AiUx9CeieuACyE8RZlKSvdphNye9mMn1lmZ9FOdcb3\njKGyRLvNCak3P60ptvLyokIOFFPApdYc8lt0p6+z+5aksXZGmn4aASG42ODjP3FVpbJnpNzxnXUt\n0f38DS1G0R0wzOhCerDN8zG3gAV8/Aof81JZySHj6z6uRHJ/rG/tA3H3oTQ0FdQ9YyShxyZQ805K\nQGP9uQSi+DxJF330ES0hfWVN0nI3td7eize/ov3o8PVikQg/YnRQg1m+WlfX6e4LXDhkOEZXo6Td\n2qPkHBGWyUZE8DqJJGntQj3ORB7V2GKJdB2PToefiYO2okXjCfELpOZAEp6q0+Cuq+jzdktkzYtQ\ninpW3ILFACM9YWqN5Z5NFNmNJQrv7roWRtk40L75FUaJM9OKToMCP5dhAuR2B1SXhFgOpnSfRo33\niUUfHn8vr2XZjJ9ZZmfQsh9+ZpmdQXtdXCBae78NTZeJ6H8gon9Bb7CSjjFE+YAh0kyVyY35aSX3\nXBJCAaSLS9MKo0n8yKMhyiHzJXTGCufGXSWAwgH7uGt19dvGZd7ewAQJqGyTEwJoAsRib8Tf7W8r\nnCNJJlpYvZg2XVtS2F4TsmaqqHDtbshD1IcItGqgfvNqja8nl8O4BBFStAihoRadYZjXhCSc7R2O\nYBtAiSC/osudgvikk6HeMqdpMD2lY16eBkLKRS8CIehEJxNM9jnO/x4pEadinMerLqdJPEaJyXxO\nhE0hISqX1/O4RJpOV8d6bpYh8eKyVlYqT4mSUlXv0wTy22/s8ZLBG+pS6+EGf9eHqjdBSZdA0Uiq\n+Oxvp219ubQ2XGIr0vtXdUuXAOI5JNovguvuQ9xC3nP3R2MrGrP8LA9kGeH5b5Ef31r7krX2CWvt\nE0T0HiIaENHvUVZJJ7PM3rb2RqH+DxHRdWvtbcoq6WSW2dvW3iir/1NE9Juy/YYr6RhDlBMoUivx\nqS+uaUnr5UssVBkAo7q7o5VIDkTAcK+psHGnyZDMgzDTxx54NN0u+wz7r1xUmHtljbcNlKpuzKnU\n0lhCbYf31LdfSri/Psg0eQK9d/c0OeZd71CxzctXuJDnxr7GA5Tz8t0J6uJDCe+ylFeGJP28VOxB\nJ22MVVuG7NG4feOFtG1z93kiIhp019M2DKUtBbwMKRd1DGYkVmG2ofDzve95Z7r9pb/+AhER7W3r\n9YYSbhyFCkljLGEgsNV4ysa7PPrDJbzBpJ+5ADQWqjwGBuoR5GC547QcSnB/FiWG45ErGpdg83zO\nW1Dx6NXrCtFLZYb6i9fW0rZ+QXLrIQErb3QpFoofH24pmYQ/z/m6JBhA4lVX9BZMrOG3K1LEdW5a\nf0p3C7dhfx7DWagTMDfDy5l90ZbwfKh58Bp24hlfpLV/jIh+5zs/O3klnZPqr2WWWWbfS3sjM/4P\nE9HXrbXu9fiGK+lMl4t2QZIk3rnKM+OltRXtjPiMc21NJZ2e1Td4MeRZvVLRSLmFOhNay6taJvvK\nrL5lD3bZ9zy7rMTMhWWe7TwLiRgPqm/USILFxZeup20u0iqEhJqyqKNcvaio5fw53Q5inlVqRd1n\nTsRDW7FODxWoFnT+PL/1e7s62+WJ+1tvKEl1e0P983sS19Dc1xm/0+LPw4kmJ/mQm2wk9bjgAxEn\nQ72yoG2PP6RI6OFrjJS+3oOy3kJYjWEKGUH9NsfFeUCeulp0GLF4WGyTx6OQ09nQlZUO4Hu1Mgix\nCsm1sQFpxEU+frUMj7kEi1wAUq0IYXhT8gxWAu1bR5K6UPHHwD3rS2IQRuGREHGz4HN/9LKecxJK\nYo/uQVXprw/y8Fh1bihRi9Wiott5kd+OpTKP771F5B7YT5PCfKKskk5mmb1t7UQ/fGNMhYg+SUT/\nCpr/If3/7V1bjCTXWf7+7up7z6Vndm67M3uxvQlaxxAvBtkkCDCJSCzgCSEQ4gHBC0IiBCSIxUPE\nIxLi8oCQEBEPCAEiRBD5IVxMpOWFTZxNcBzb4931XmbGu3Of7ul7ddXh4f+r/3+dGe+sPds74z6f\nNJru6q6qU+dU9fnOf/l+4NNEdBXAp+S9h4fHMcBBK+k0AEy+a9smHrCSTpAiVMRHPneSaXaqpH78\nCEnlE6VMk5P6eWWUm1DMKm1PIlet75M66s/u7fIxZ01llIlxpq9NE945Pq8UfWqK6fbcqNLxIMXt\nzllNc8m/Lo1q2HEhr126u8rU7LFZjSGorvKxu001LpEp43xmmunrrZI9N79+7ofVQHn+tNLBr33z\nFT5f453+tjgS/7yzqjtqYEuUiQpF9QnPV7idM+Pa/xVTcvzpj7KBbfOO9v/2luSQG8NhYBJcnIiC\n9gzVR9/Ws3eYL4m+QSawmvJS1yDQfZIEFQDISb9bw3Dy2pnw5pIo1UyZ++qpU9oHkYRFd0xhykRx\nqGOo/JYJpd2ocV9v7uo+Y6ImVRnRe2N+RkOhA1H4qVb1OLEoitY2dClVM+1Ii+GuYu63cSnk2WyI\natRh+fE9PDw+fBhokg6H7vFvTUt+9Zt1ndnyomdXLuoM2c2qsSYnJYwrFTVS5cf41y+M9VKq2+qe\nyW/zjDcZ6yxVSLPhrNcwlVEaakUpnOFjPnb+SW17S9wvKTtL8bHTOTX6xC1lEVlJIpkY0dmlKIwn\nNjMkGTmduQpfx+yI/iaXZeL75EWd8ZHRqjm3amwMfeX/vtvflkT2pQJjHM2q0fPszFkAwPmTX+48\n+QAAEQxJREFUOgtNlpmF5NMmgcjMlj/yMS6Y3DPRgNcWbwIA1jf1uiNjnHKOG//Gio7J5ja7aG05\nbavKk5Ly5Omstr0gGoUpawQ0abJl6dexgt4vZak8E5m6im1xyY0bl9hIRe+NlEQatmM9d1s0FTPG\nVZZECgKaOhsYV2PS/7Zke9DVeyyJYJ0s6DiHPW7TbZPAVTMuxLREKqaMhmNOno9M4DX3PDw87gP/\n4Ht4DCEGSvUj51AVn+fiO0z3Zs+f739+ZoF98WFd6WXOKXUbk7rURUN1IknIqW+o7//u65pnv7Yl\ndLtkilB2mYbduGpKOy9rPj51xAB5SpccSZ1Oio1RTqr0xCYiqxcayW5ppwkQRKMlNM76sE3Sy5ho\nBTx+UunnyRNseDx9Tn3CMAU/n3mSi2beWjJRXnVO0skY+fJzp872X//i82yXLRgj4uoyR/uFXSMj\n3dbrPSPRj4GhyRdO81Ihb9RywrzGIFy9ynEEW5eu9Lft1rm/epEpAnqPnU+iJNO6RIr3UCGyVY0m\nxTA5awxoeYnmzDql7aN5fl021Zpy9whUikimiZzMC50mM2Y10y8l6Y+8EcFMkqyKpq8KJjaAHPd7\nZMp1Q8pfZyKjFtU2y5QGPxfVXd2WlgSvvvHTi216eHjsB//ge3gMIQZr1Ycy3O1tpnvNHaXJLqlI\n01QKmDUW74JYLiOTYHFnmank4i0NTf3fRU1MWW8yBbrR1sSS7Fv8/9Jb39Dv7apE0hOXmNL+5s/9\nVH/b+TNsqS4VjReiIMKMxlduRTAh4axto8GeCDM6a9U39HVMQnrPGgHPgoSHhh3VAsgVdSnw5BP8\n3StTak3fvis+X1NV6IWndVn1Yxd5ebB290Z/2/oSW6cLplBpylTsyZWYws9O6LnLMVPs0ZKxjBc0\nFJpE/PLctFLwpWUeH5NqDmdou4u5P7tGx75eT7wq6pkIjB+/XOZlwajxm8f9JCDj+5flV8b0vy4E\ngJQkTDlDy51oDcQm16Rk4jVyIiB7L83mfYomaaicU9rvOnwPd2x1I7m/CwWjgWAynlot/m6rYRKe\nJAw7HWSlDd6q7+HhsQ8GK7aZTmFkVJJDJIKqawQT4ySv0YgjxmY2TKqK7G7q7H59if3Dl67pjH7p\ntkaw7Yghj+7q560O+5y7PaOmY2aF7SZv//Ebz/a3RT02eI0UNJLq7DzPPkVT/yw2gphdEf20FVaS\nRJiUSfhw5nVa/NWjRjFoVUpdr6xo0tDC2Y/0X8+N8aw+P6YzylKJh/apGTW0XTitEWoUckxEdUvT\nnvMSMZc1MRE7a9pvJak8lMroLNaPzDMy0MWUsrjJEn933NQKjETg0+0jwBnLjN9s6fjstiVBKWUS\nZUxMRcIkbdp0IIZNF9kEIEbGRLhljZJPIqsdmUQjJ/ECzlRMKhVsIg23KQztfSt+fDMBB+ZNSuS9\nU6b0dqvBn1e3VRWp3jJqUmIIbIbmoGke+yDLRj5v3PPw8NgX/sH38BhCDJTqZ4I0pk8whQ0S1RIT\n+hhK2WNLAFtd48cUg8n2jlLAzTpT79AIGaZN9Ziwx593Iw0ZTcoRWwUYGzKaFR95ZU61AtpZ9vM7\nU8kljIpyDj1OzxjDYsmNLhvB0LxU2iGTyBKkrN+WlxShac+WFIe8fVtjDaamVOCzIP7quaJe92Pj\nvAx56pzm009MaoLR5g4fa8moByUa+EFG/efbNb3euhP/OymlvfM2G+rKJix2YcYUlGzx8qPTULrd\nDRPj7Hvr60em0pELuY+DtJ6bbGluWTJmjTEzL4YvGzKRxAGQDf21tS6FoqfiPdpmct0po4+OS5Kf\nbL6+hOxGkUmMCnX/tBhss3mNx2iK0W7HCIZ2e3ZJyP/bJvQ30ZiNZMnlDliO3M/4Hh5DiIEb90rj\nPJuQJHp0TBJIT2aNnnF/1WoaRZYRxZVNkySyuMazv5XKHi2rK6yRYvdO3bgIu102nljDSy6tM8W5\nhR/k9o6ZGmVSLjrT1fZ2ZRYi45IJRnWfgkg4lzL6+ZgYN6eMhDjFajRalYSbtjGW1UXne7Oq2zbW\njGtPJoXRkp777Awzq+kpNRKSMTzW5Pg7TZ2Rmrt8bY1QjaMLRlpnfIoZxfqqMo/lW/x6wUSt9VrK\nIhZX+PhXbt7sbwuN+tDe4P6IYz1m4sGK09YYrP0RCYvImxkfHVEHMtLrED1BZ+a8sGNqCgr7MoQM\naZndYyOH40xCDtz3s4NYovDaRvI8a6TBA1EAikytv50tHtO1qrqrnUkF7omRcn1Tr3u3wX3Zli7d\ni6jsBT/je3gMIfyD7+ExhDgQ1SeizwP4DbA15rsAfg3AHIB/BCvzfAvArzpnko/3Ok4KSPQTY6E4\n7ZZSoVpV6GtXqVfPUKqu8JjVhlLF2xLFt2HovzW8BJLEUM4bock80//pkia9OOMTTheY0t1YXuxv\nK5zmfWZsVFWKqbH1a5cmdJkR53hZkzE5+jPTosBTV8WfdlW7bVuWIV2zNOmIgXOzqttur2z2X09L\nFFnWyHQXhPL2DGftmNJAWVEsmswb7QPRLuiZxJDQGJdaUky0brQLMkJZmz1dZvzPaxobcPkm0/53\nTLxAtG9JbYaTBJZOV5OttrdE7NTIVcfGn91tidgkNFahIwlTdSNF3pS4jqah/7G5xwpyn6TTJp7P\nJYU/jUHQfJ4SCu9MTEpLpOCtDHrKCLUmwqddMybVBr9u9pTet0M9564Ywm9c02jLO6tsCIxD/izq\nvXff9ttyvy8Q0SkAvw3gGefcx8ALsF8C8McA/sw59wSAbQC/fqAzenh4PHIclOoHAArERdGKAO4A\neB7Al+VzX0nHw+MY4b5U3zm3QkR/AuA2gBaA/wBT+x2nBduXAZza5xB9UArIFZme9SRDo21o/UaV\npflHA7XMktF9r8k+qzVdHjQlXLJu/P1dE+qZSHIVA03emCizpv/CmPq4b+9qOOzOBtPoy1fUn1qI\nuaLM9FNalSUvQodB2ngmYqWfsbweO6Fd8/GL7NMfyX2vv+36mzf7r7NlptHhXaXyccRLhXpbKeBd\n43/PiviijSfYkvDnoKp9tRvr9eTzTImnKlqPYGaUlx+5ki5nqqa45/Vb7LPvGIrdAy9nXr11u7/t\n1ZtKRWt9q7PJ8e/fNvuZoHkso0g1FpptCY8e0VDlXkNLOUQRj3nH0OnI8TKvYUrc1MT8PWKs6ZFx\n5Duh2e2WWtbjxOpvvlcs6pKjLsvNuvHENGSfTmiLhZrHTeTFQhNiuynNfHtDx36roWMWiqdgbV2v\ne/kdvu5sise519unOtG7cBCqXwHXyTsH4CSAEoDPHOjouLeSTqP5niYADw+PAeEgxr1PAbjhnFsH\nACL6CoBPABgnokBm/XkAK3vtbCvpPD5fcfNl/kWti5pI1xhZoh4njsBUCimMqbGm25LZJ2tkl0WQ\n0RmBSDK/Z6M53n9mTGfquRkWjbRCiNTQGSsWg0vY1FmqJT7jnDUSjnA7yFR86Zposq6UtyYTV5Ah\nfl1Pq1rObkdnkp8Y4302R3SmDgp87o3AMAsTO7ArRs9dp4xgU2a2yPiEV41SkJSaQ9ZUkWnJLOVS\n5thVTRhJSm5PT2l9wHRuTI6t47jV0H4LJcosvsegR+/6D9w7+yevdaaOYz7m4ya2otVQZpfNc+JW\n2NP7pZkYOA0L6IiBrmNSbPNZo/QjabuduvZ/KPdqeVINstlxTT1OkprSbaMOJDEeoZF6bwYmClX6\npWviH9bkOGstew/pDJ70Ydeo/9xc4dl/JMNtDMNDmvHBFP9ZIioSJ/v+NIDXAXwdwC/Id3wlHQ+P\nY4T7PvjOuctgI94VsCsvBZ7B/wDA7xLRNbBL70sPsZ0eHh6HiINW0vkigC++a/PbAH70gU7mUpgM\nmaqdELWYXlopVzjKtMf6IrumhXGZaVhlTuncrFRy2e0oxSnn9PNCiSlZyWjKh2k2nuRMMs90Rfcp\nEVO/qRO6z8UnWLGmOKL71GQpkErruUNSetruMSVrrind29jg9i6+rgUut7ZUX2C6fpL/L+hy5+Q4\n98f1WJN9tmr9l6j1+Jg1pxQwlNDWWl2/SMagRWLrbES6PLizxu1ImbzziYJS61OzfP7zZ072t8US\nw7DVViPhypoum2qisNSz/mXJk4/uiS/dKzffhLhKNaGxLdO2Ke2jiVEOjw4aGpuxtMRLia11Q5dJ\nljGBbkubWIecLA+CSMc+LUY9e192jApOLDERhRGjdyChvymTCJYfMWKco3z8hjGUtsRPn3GmhLop\nzpnYRPNpvZ9SdV4yRqIGa2MJ3gs+cs/DYwgxWM29OAAa4kIbS6LNNF22JtVqGnXjAjEKzBmROc5l\n1MA2KywhFau77oQpTeykqktoDkQ5KZ9sNNsmTA25vMwuJ2YMCxjlczabaiDbrYlLzfxCO6Ps0hSD\nV62lv8K7cm2upzOGjSqM15hZOLUjoVDgCMK0mWV6HY0G7LVF3tm4hioFZi2RcXPmAyNHLVLljaZu\nK8vnJTPLV0o6q5YKUq0lreNTyPI+H5nV/r9zSo1/axJNuNUwsuQid71lojY7JvnJyUyfM9Fx56ZF\nen3ldH9bPG8zab7N+3bV4Bd1uV+yJtElK2ymZyLmajWzjxjTIhu9KBGLaTKVclJqwIwk77drWGdL\njNbOsMrEhQcAdZGQr5mI04JEEF6Y08Enw9icuL4nT+r9XSlINSfqfl8b3wt+xvfwGEL4B9/DYwhB\nbo9c4od2MqJ1AA0AG/f77jHCCfjrOar4MF0LcLDrOeOcXSjujYE++ABARK84554Z6EkfIvz1HF18\nmK4FONzr8VTfw2MI4R98D48hxKN48P/6EZzzYcJfz9HFh+lagEO8noGv8T08PB49PNX38BhCDPTB\nJ6LPENEiEV0joi8M8twfFES0QERfJ6LXieh7RPQ52T5BRP9JRFflf+V+xzpKIKI0EX2biF6S9+eI\n6LKM0T8RUfZ+xzgqIKJxIvoyEb1JRG8Q0XPHeXyI6PNyr71GRP9ARPnDGp+BPfhElAbwlwA+C+AC\ngF8moguDOv8hoAfg95xzFwA8C+C3pP1fAPCyc+48gJfl/XHC5wC8Yd4fZy3FvwDwNefcDwD4IfB1\nHcvxeehal865gfwBeA7Av5v3LwJ4cVDnfwjX828APg1gEcCcbJsDsPio2/YA1zAPfhieB/ASWBlj\nA0Cw15gd5T8AYwBuQOxWZvuxHB+wlN0SgAlwTs1LAH7msMZnkFQ/uZAEB9LpO4ogorMAngZwGcCM\ncy4pLXMXwMw+ux1F/DmA34fmxE7ifWgpHhGcA7AO4G9l6fI3RFTCMR0f59wKgETr8g6AKt6n1uVe\n8Ma9BwQRlQH8C4Dfcc7V7GeOf4aPhZuEiH4WwJpz7luPui2HhADARQB/5Zx7Ghwafg+tP2bj84G0\nLu+HQT74KwAWzPt9dfqOKogoA37o/9459xXZvEpEc/L5HIC1/fY/YvgEgJ8nopvgwijPg9fI4yKj\nDhyvMVoGsOxYMQpg1aiLOL7j09e6dFxh5B6tS/nO+x6fQT743wRwXqySWbCh4qsDPP8HgugNfgnA\nG865PzUffRWsOQgcI+1B59yLzrl559xZ8Fj8t3PuV3BMtRSdc3cBLBHRR2VTog15LMcHD1vrcsAG\nixcAvAXgOoA/fNQGlAds+yfBNPFVAN+RvxfA6+KXAVwF8F8AJh51W9/Htf0kgJfk9WMAvgHgGoB/\nBpB71O17gOv4OIBXZIz+FUDlOI8PgD8C8CaA1wD8HYDcYY2Pj9zz8BhCeOOeh8cQwj/4Hh5DCP/g\ne3gMIfyD7+ExhPAPvofHEMI/+B4eQwj/4Ht4DCH8g+/hMYT4f60iws7lAFQSAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dada12b70>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 1610... Discriminator Loss: 1.7159... Generator Loss: 0.5133\n",
"Epoch 1/1-Step 1620... Discriminator Loss: 1.6374... Generator Loss: 1.0111\n",
"Epoch 1/1-Step 1630... Discriminator Loss: 1.7641... Generator Loss: 0.6404\n",
"Epoch 1/1-Step 1640... Discriminator Loss: 1.2147... Generator Loss: 0.8429\n",
"Epoch 1/1-Step 1650... Discriminator Loss: 1.3339... Generator Loss: 0.8591\n",
"Epoch 1/1-Step 1660... Discriminator Loss: 1.8727... Generator Loss: 0.6742\n",
"Epoch 1/1-Step 1670... Discriminator Loss: 1.5134... Generator Loss: 0.7987\n",
"Epoch 1/1-Step 1680... Discriminator Loss: 1.4782... Generator Loss: 0.7062\n",
"Epoch 1/1-Step 1690... Discriminator Loss: 1.6095... Generator Loss: 0.7445\n",
"Epoch 1/1-Step 1700... Discriminator Loss: 1.7461... Generator Loss: 0.9126\n"
]
},
{
"data": {
"image/png": 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gNx1sqBEazyV68/adYAf+4RtjakT0r4noP7PW7uEb5oO66WBDjVIU2VgIEkd5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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dadc7bcc0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 1710... Discriminator Loss: 2.0156... Generator Loss: 0.3896\n",
"Epoch 1/1-Step 1720... Discriminator Loss: 1.7540... Generator Loss: 0.6926\n",
"Epoch 1/1-Step 1730... Discriminator Loss: 1.7513... Generator Loss: 0.6261\n",
"Epoch 1/1-Step 1740... Discriminator Loss: 1.6404... Generator Loss: 0.7288\n",
"Epoch 1/1-Step 1750... Discriminator Loss: 1.5012... Generator Loss: 0.8576\n",
"Epoch 1/1-Step 1760... Discriminator Loss: 1.6337... Generator Loss: 0.8478\n",
"Epoch 1/1-Step 1770... Discriminator Loss: 1.2683... Generator Loss: 0.8922\n",
"Epoch 1/1-Step 1780... Discriminator Loss: 1.5020... Generator Loss: 0.9028\n",
"Epoch 1/1-Step 1790... Discriminator Loss: 1.4300... Generator Loss: 0.8794\n",
"Epoch 1/1-Step 1800... Discriminator Loss: 1.4853... Generator Loss: 0.7850\n"
]
},
{
"data": {
"image/png": 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kK299O8EQH3gSySib9HSfR7c5L7wHhFQOmhgUJO8fUYA4aoqKSnbFQhgm0J7a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\nvXbfU8kDUmFZJKPQDz/nk0eSYkafWB/9JoVQVhv+mlx+eq1uVHOv5qk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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dad5907f0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 1810... Discriminator Loss: 1.4165... Generator Loss: 0.8949\n",
"Epoch 1/1-Step 1820... Discriminator Loss: 1.5920... Generator Loss: 0.8032\n",
"Epoch 1/1-Step 1830... Discriminator Loss: 1.4096... Generator Loss: 0.7035\n",
"Epoch 1/1-Step 1840... Discriminator Loss: 1.5037... Generator Loss: 0.7921\n",
"Epoch 1/1-Step 1850... Discriminator Loss: 2.2428... Generator Loss: 0.6911\n",
"Epoch 1/1-Step 1860... Discriminator Loss: 1.6131... Generator Loss: 0.7686\n",
"Epoch 1/1-Step 1870... Discriminator Loss: 1.5115... Generator Loss: 0.8898\n",
"Epoch 1/1-Step 1880... Discriminator Loss: 1.4410... Generator Loss: 0.8098\n",
"Epoch 1/1-Step 1890... Discriminator Loss: 1.4782... Generator Loss: 0.7205\n",
"Epoch 1/1-Step 1900... Discriminator Loss: 1.5556... Generator Loss: 0.9096\n"
]
},
{
"data": {
"image/png": 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g2FDjpReft1HCBEbSdI0W1KvOpANFAq8tJJ9cqGI2V0JkOGKSZDDS8tL5TN/w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\n8AMChhDhwQ8IGEKEBz8gYAjxX1LE/1kDND9RAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dad745da0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 1910... Discriminator Loss: 1.5507... Generator Loss: 0.7454\n",
"Epoch 1/1-Step 1920... Discriminator Loss: 1.4829... Generator Loss: 0.9165\n",
"Epoch 1/1-Step 1930... Discriminator Loss: 1.4526... Generator Loss: 0.9627\n",
"Epoch 1/1-Step 1940... Discriminator Loss: 1.6984... Generator Loss: 0.8435\n",
"Epoch 1/1-Step 1950... Discriminator Loss: 1.2613... Generator Loss: 0.7659\n",
"Epoch 1/1-Step 1960... Discriminator Loss: 1.6145... Generator Loss: 0.5836\n",
"Epoch 1/1-Step 1970... Discriminator Loss: 1.7177... Generator Loss: 0.8831\n",
"Epoch 1/1-Step 1980... Discriminator Loss: 1.5243... Generator Loss: 0.8181\n",
"Epoch 1/1-Step 1990... Discriminator Loss: 1.4158... Generator Loss: 0.7466\n",
"Epoch 1/1-Step 2000... Discriminator Loss: 1.4195... Generator Loss: 0.6145\n"
]
},
{
"data": {
"image/png": 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EKOQJApIrJmlKIBmNLOcAL+uKYSChGtDGmeRaLca4exz17G5cqdflK+U+Fscs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\nYeIHBAwhwsQPCBhC/A+A3C6ExxpepwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dada23c88>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 2010... Discriminator Loss: 1.2077... Generator Loss: 0.8097\n",
"Epoch 1/1-Step 2020... Discriminator Loss: 1.6748... Generator Loss: 0.6769\n",
"Epoch 1/1-Step 2030... Discriminator Loss: 1.2325... Generator Loss: 1.1092\n",
"Epoch 1/1-Step 2040... Discriminator Loss: 1.6127... Generator Loss: 0.6180\n",
"Epoch 1/1-Step 2050... Discriminator Loss: 1.9700... Generator Loss: 0.4623\n",
"Epoch 1/1-Step 2060... Discriminator Loss: 1.7036... Generator Loss: 0.7239\n",
"Epoch 1/1-Step 2070... Discriminator Loss: 1.7783... Generator Loss: 0.7530\n",
"Epoch 1/1-Step 2080... Discriminator Loss: 1.6162... Generator Loss: 0.6914\n",
"Epoch 1/1-Step 2090... Discriminator Loss: 1.3737... Generator Loss: 0.8860\n",
"Epoch 1/1-Step 2100... Discriminator Loss: 1.6765... Generator Loss: 0.8732\n"
]
},
{
"data": {
"image/png": 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9BvPm9bEaCcroQv55q8WhtxbIVaNZh4aqPKFFHjmdqwmE6SLxYTGiDXlOmtBU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\nmpLLdTZ/wzFttynE00h+WshrezOOr2HKFDLNL6mpvyClubvieq0jy3v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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dad662160>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 2110... Discriminator Loss: 1.5207... Generator Loss: 0.9026\n",
"Epoch 1/1-Step 2120... Discriminator Loss: 1.5098... Generator Loss: 0.8168\n",
"Epoch 1/1-Step 2130... Discriminator Loss: 1.8388... Generator Loss: 0.3753\n",
"Epoch 1/1-Step 2140... Discriminator Loss: 1.7838... Generator Loss: 0.6771\n",
"Epoch 1/1-Step 2150... Discriminator Loss: 1.6525... Generator Loss: 0.9387\n",
"Epoch 1/1-Step 2160... Discriminator Loss: 1.4477... Generator Loss: 0.7868\n",
"Epoch 1/1-Step 2170... Discriminator Loss: 1.5385... Generator Loss: 0.5039\n",
"Epoch 1/1-Step 2180... Discriminator Loss: 1.2671... Generator Loss: 1.0103\n",
"Epoch 1/1-Step 2190... Discriminator Loss: 1.3645... Generator Loss: 0.7141\n",
"Epoch 1/1-Step 2200... Discriminator Loss: 1.4519... Generator Loss: 0.7778\n"
]
},
{
"data": {
"image/png": 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HWgwRJn3J8mOKxKNbFmX6LCeY2CP3olrW+5hKhKf7PT2xCtJb7Dsl99attduy/ZiI1t/u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\nfSUMe5LPPwU4HSYKx8NMoCiQalefe46IiJprShA5/zkRUX+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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dad9deb00>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 2210... Discriminator Loss: 1.6324... Generator Loss: 0.6715\n",
"Epoch 1/1-Step 2220... Discriminator Loss: 1.6588... Generator Loss: 0.6475\n",
"Epoch 1/1-Step 2230... Discriminator Loss: 1.6004... Generator Loss: 0.6738\n",
"Epoch 1/1-Step 2240... Discriminator Loss: 1.7856... Generator Loss: 0.4941\n",
"Epoch 1/1-Step 2250... Discriminator Loss: 2.0594... Generator Loss: 0.8119\n",
"Epoch 1/1-Step 2260... Discriminator Loss: 1.5741... Generator Loss: 0.6967\n",
"Epoch 1/1-Step 2270... Discriminator Loss: 1.5061... Generator Loss: 0.7997\n",
"Epoch 1/1-Step 2280... Discriminator Loss: 1.6878... Generator Loss: 0.5264\n",
"Epoch 1/1-Step 2290... Discriminator Loss: 1.5639... Generator Loss: 0.9190\n",
"Epoch 1/1-Step 2300... Discriminator Loss: 1.4255... Generator Loss: 1.0749\n"
]
},
{
"data": {
"image/png": 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p6hgAf1k6sUjIFisgq9AtaYq5fml6wOfMBroMSaBVtZUOR5O+EmMjkd+eQCtq\nAiJ1Ks/GwURhcOqqZ2DA+yM95+GAlzuzSMdeqbBfwxbq/Rl/XoFjh5CbMXYFQpCl15LvV2tazNOY\nQWcgWaq1oOAmEYhvjS57cihEigSt53M9zkhgfwhdeiwsKRYiTT+DIp1M7nMunx23o85jrfGlldan\niehLdMxuOsaYLxDRF4geFJfw5s3bd86O/cM3xjSI6B8T0X9urR1gxp211hpj3vdVgw01eo3Yrsb8\nlq6LiksMBNvKKofr6qDfZkCqOZdw0nwB2WR9fplERsN1YRWlp/k7BZSFzsSLTUEWuw7kFEm76QCy\nAUspvQxhPG6hVAx1PPkEerJJzYCFEJ+TWB5O9U1fi3V7LeE3dwXUdqIabx9ZHe8IQ3tzPmdlrNft\nsu8mNzWMlud6uxsXeL6s0XNPbrJS0PCuhhJvvPv6cnsu93ztnIbuOqucRbko1fvOQ30UioLHcXig\n4ccjQVwjyH7DjMiZbO6PFRHUS/GG0Oob+pgsG2WUU0UoE/GGcar3LHbEZfJwr0QiokzCdG249yQe\nP4kVBTSNZo+6CGIMmZ6FIJQxIK6jA71nLZH+HgOiuj9gEtcEQBaD/HzhEBeQzmXpPL6Qe3Q8O1Y4\nzxgTE//of81a+09k9z3pokMf1k3Hmzdv3112HFbfENHfI6LXrLV/Cz7y3XS8eXtC7ThQ/weJ6D8i\noq8bY1x7kf+WvoVuOmlo6YrEUZtSBJFsKJHXW+VCmiSow5cUghsh6spAAc1syqRRvaPES7qmGVIm\ncvFUiBN3+TzNEsg7gJBLEAhYshDirIACFCMZXTlC/UwJtoUQdIcgJDkUSJqmEPOFXn9PN4VcSvXc\nvav8eWtT52UUKjk4LRjq51ah5kKy4u6+o4KhYUXnpbLJ85JUFfKGVfYDUUOXWhH0LpxM+drmucLT\nohT4C4TguK+x9v4RQ/z7BwoIXfekCUhhH0KJ9EhIv1kOWF5i1waI0AiyPlstfo4WsS4fxhnfl0PI\nuHOFP8g3GeikU6vzHIc1WFLI0iWEJUMV7t9cxjsc6byMpM8dFepbC8j3GA14CXZ3T5dAdw5ZbDOD\nluNTEFWdL1wnHX3+3dYyYfGYWP84rP4f04P1QGi+m443b0+g+ZRdb95OoZ1oym4YWur1GMZ0BXVe\n+KwypY0G1yaPDxTOVYDhrAjsT6oK0wqBQvOBQmxLCjUjgWRBBkKILrUVFF4IVHtKV5cOULN0DQun\nep5sn+GqZLFOAAAgAElEQVTa7Ejryi2MNyf+josNExEtFgyeInjnVlNl45OA5yfuKWZ79kWGtGsr\nWnATLCBR0kUuSM8znfDy4t59bbq4ugWsf8bLgxLY9FCY7sa6MtaXGs8utyfSUWY0UXZ6OOXcAixO\nWkAE5fCA78XerioTTWVZUEJq6hHkpt7ZZ8g8gRh3IGmzvY6ObdrWpUsiKcyjSOdtIRGUOaTFTlxE\nB84dQ2HPIpAuP7cUgu8WPIcVKMxJYMkxFi2AIfQWCGVJsdKDHgUQnx9KI1Xs6LM34LkcQmQig1wH\n147dlg/jeS3O8UU63rx5e4SdqMePIkO9FT7lfIvf0G1Vd6ZWzG/H1orG5F0BChFRJCWKSUNJlqmU\n7e68eX25r9bQ2HWzwZ4xmqNOmSvs0XOXEMud53yeDMplI5dVCO2VreVrCEL1TNBoh0i8VAzepd5m\nj5VD6XEBJFe3zd8Zbujnnas83k4DyjpnZ/T7UryEpNuiZGIxh2Ke8aHOy+w+E4EGuuJYyTrMxkqQ\nLebQV47Y++zt6XFuDtlzxVB+2gNyMBAU0ewASTgUMhJSPyagI3ckraPnuc5BIuhrY11RTwZ5GIWg\nkJz0O6HMP9S50FS85QwyOUdQDHRXtBDRqVbFu6dzvU8GiLqplApHgDZaos14ax86BA0gp0KmawdK\ni6cyHyNQdJosEIk+XIjzeEp7at7je/N2Cs3/8L15O4V2sp10IkO2ywTTmxcZTn7+jBaepEYgEwgd\nDq3CxnwsRS+QXeuUfO7dVhLr7EUV1qxfZVWaGOq0BbE+UMAyB/jav82NNu/uaUPDuYh+XnruynJf\ne5u7/CQtjZ9nEI8+2OXvv/zWu8t9944Yji/mKC4JxRsX+NpvXlb4mWwx3I4j3Ved6Dt7MGUIOJ7r\n9YQVxpIJwO4//4bG9HdusOjplRZ0nhlJHTwQpXeOdF52ZSnxlYHesz25XieJTUT03HldknTbfLNy\niE07WN8HiL0z0O29Q342prAcioTkqkLsfnNVm5VO5P6NF3qcSAp6csgxcHfHYFPSHGrvM56DMxu6\nlLp0ke95o6LLvHyoy6H+bc5RmI50Wbony6pX3tHW5H9y64aOLZWfHuSp5EIMD0GufTjW63HPTPk+\nWP+4dfjOvMf35u0U2skq8EQxLdbZA//xCreYPj9Rr/qZ2e8QEVFz57nlvsWBeqSKKLfEBaCABXun\nVqKXUgEPakXzDQtlAin1jaBNtoGimJWY36zNi1pwOJdCGJD2I5LCFAtqLRPI4nvlldeIiOilb7yx\n3OecWB08Tr0OaGSbvdhX1zXMc2nC3uPF+e8t93X3nl9uj/fZ29YD9bor0gykvqqkWg4S1/eljPbS\nCjQaOcMerXUeilFG6vla99hj2X1QnxGZ6PUL6n3DQL3hQZ/Rwb1DDQHeOmJkcqOvf3dzoMTkTMqc\nMWsscs1LJkqWVaHQpic99Q6g/DcSUjWbauGUlfLVCDLiWtCyvCG6hS2QxSY55hw0AimDcKwUlWE2\nYCnFSZdW9fmdQobgnugSvgvjHUtIGUN4GajtuKYZBmdGCMFYiormi0fl2j1o3uN783YKzf/wvXk7\nhXaiUL8+qtLn/5g7r/z9P2NC5B9sKtT5l/YlIiL64UCh2XZycbndqTFptID2yjRjSGUThUfTQuH2\n4IjhaTpTOB1HvI2qPRagXyGilq6Wn4gokRbdRalweTQVJZ+BFqAcAcEzL/k6Nld1aTJ3MVqIWzca\nCjW//095fv7Pr2um26+v8xx9Kfjact8PgvDmesix7dWWwm0SCD4C7YLOps5BPeYxRVuwzJAiFBPp\nvMQQf29WGU5fgKzCWIjNsKnfmcw09jzr898OAb6GEllvQd0+fJ260lcuBsJqe4u1GnZ2lSxrwOMb\nGZ6PVqz7ekIEzuDYVrIKByMlKBMg2GpVvp7ZVD/PZwLhQUEnyNFn8ucxnDsS2ez1DXju2roU2JMs\nv/KWztVOn5+JALI/FzUQMTW8H/MbSoH/q2ucjTqb6/3+IPMe35u3U2j+h+/N2yk0c1xxvo/D6rWq\n/eTTF4mIaCRs5v6Rsr22dHFKhTohSHxFUlBSAwY/kZTTJNS/qyQKj9bbDFVbdYXbiRRLWCi66IJs\n0prA+rZ07iEialS43v/CBW0O2V3lOH4Y698ldS0iqfcYeidV1QqwEhaYAct9/XWNr/9vv/PLRESU\nQbvn/QHPVVYChIZUzlCKjSIQAk0FvjqBRqIHparGIjY5h5jxVIpZ8JHIH5B54mMtMj23dfcKyOQo\neNifxFAMZKSDUQRFK5h8GsnBeqlGFy5Iqu7UKKvfBAnHQq6z19KlSVe2VzsKt9favFzZ2thc7mu3\nNT6/EIk1jMlHMrYZdPEh0FAo5TmKEg35hNJboAJNPmuQB9CSZ6cBDWAj0eWHjF2Cqab5iK9xPoN0\n430uELt1h5dAv/Qrf4veuXvzQ6l97/G9eTuFdqLkXl7ktCfqLK5QAwUXndOOwHunIHrYELWYTk33\nRRKzxzdYAm2Pmw3eTirq7gYTJlb6EyjMgYy7dpOPFkLQ3skl14GFSqQwJYMsPFPo56m87aMY5KbF\nU0Sr6q5WVjVWviuCi4shiGmK7LUF5aF5oeONXVecUMdrHWEFXj4H754ZUQ8yus8K2RaAx06sjtMK\nuRUAKef+NIKCpgSQh/s8SUCJxnXsgQ5CMxjbfMLPxAHIn7dEaelooSXXi4rOdSDIsAoEXFc8cFqD\n50meDQCA1GroceaS7xHBcVxnHwj3U4gZd1LwE6HKk5RapyA1Hsd6f9qSQ1JbhbJdEfOcT6EcvK9k\n8ljaig9gnyNAQ6kOM4/UzHnQjqO5VzHG/Kkx5mXppPM/yv5LxpgvGWPeNsb8hjEm+bBjefPm7bvD\njgP150T0Y9baF4joRSL6KWPMDxDR3ySi/8Vae5WIDonoF759w/TmzdvHacfR3LNE5JimWP6zRPRj\nRPTvy/5fJaL/gYj+zgcdq7SWxnOGcTOJ62LBQSKwvlZTqLi1ovDp7DpDoS5gLocg21W9lFpDSSFH\nTh2MFY4vhKypQKvkNSi0CRP+fFFAfXvBf3twoMVAE1mm1EQ5iIhoZVXJmorAuXKm79dcUj2TtkLA\n3pbCvZFL64QU4kTmAwtLiinE0oXsbLSV2EpF/3801aVUCbkKkagYpTCXrgY9gvTmCjTQTIWUM7Dk\nqEmcud5QGFtL9V641s5IRpaSP2EA+t7Z13yOuzdY/SYfApkp6cZzqK7XKyMKZclnQJ0pllyGak9F\nSjui9VBpQpvyAJR+pLNTIwWFIxFQzaH5ZqUJvR9k+RZX9ZhJlc8ZQ3POEFpvxyJiGgIRHbilCSyV\nCqhIG4342Xv5VS36euoME8eVxHV/Oh5td1xd/VAUdneJ6A+I6B0iOrJ2mXx8i7it1vt99wvGmJeM\nMS+VkLTizZu375wdi9yz1hZE9KIxpkNEv01Ez37IV/C7y046URzaPON3ReH07FDpRMiyDkgb94Aw\n2RIvttXSt21dvFM1grbT0A76vrylJ4fgcRZ80o0V9QSf2FSv25YCjQTbSsub9y6U/+5PrhMR0blN\nLYfduPD0ctu4ywC+JRvz9acdpUQiIKlC8aZIlrn4Wg0QSgiFSK7ldg1Cn6GEt1KQkgkTPWcgpBMW\noxjp01ZC3C8CD7LaFEIKuh/Vpc9gCl6+BsTXXOJR+xAem4m8dhBBm/KFjnOQsvc/OASp7LkLNULW\nGoS6YpnDDsxRR8Jj9VjvcyORAi3owTeDPnpT0eQL4Ty5yKTfuaMFZZ2Wfqe7JmHbBFCjEK5ppM9q\nmIAykdzTAguIRIkpAJRQaeocOa3J69DpKDX8t+sbfGz7gN7Qo+2xwnnW2iMi+udE9Hki6hizfLTP\nEtHtxzmWN2/evnN2HFZ/TTw9GWOqRPSTRPQa8Qvg35U/8510vHl7guw4UH+LiH7VcM/ogIh+01r7\nu8aYV4noHxlj/ici+ipxm60PNmuX9dAOlCJkbQjUbwJsrIMYZFOIug5kk7WE3SsAnlogktYEMnc2\nNXuukA46vbZCqvNr+vnKumRVNZSoMwL1Dw61eOPaXa6T3zlSsHPjna/oeM+6en49di5XjtlxSJY1\nhGxDpL+QTK0qNOwEVE+FxMAzkJEuZd6qQBQ1oCuOW86gXHUkJNV0pnNZCxUSn1lhSFsHqL+kbTKF\n5ViXPi94f2z1O0MprCpAbHNRU4i+J0TrZA/q3+U8GaS1YZ1MU5YNvTpk7klXnDqo9rhT5pAHMQLV\nnnelcej0UIukApE8v35H91Vihf1Pn+f9V57B/AbeTkFoNSIYh2gBWVhOliLyGlidC8wN6G4z4Zh0\nVYw2EyKaUjmOOV4c/zis/p8Tt8b+5v3XiOj7jnUWb968fVeZT9n15u0U2smKbZJCfJdqiyVCy1gs\nMNExpO/GAl9jgP+OdY6A1W9WNT7cFAmqFOK2oaTQGmBck4rCKweu4gdSh/mYcaTQOK7x999+Tzvp\n3N27vtze3uF4a1rVfvImZNiP7HSRK0xuSU18ADPTF6gfQ3gAO9dMRd+/yBQGVyUntVXVa1zpajFR\nq8nbqz2VF+u0uIikXtUY9mpbr3elx7JUkLFLLjVgAo0y59BpZzLmpVEcQtcc+Xw0U0Z7AZ10Wu6e\nQYw7kVyFBXazgWVMIsuLBPT9XWFQAOsml4mLzSiPoHPNm7cZwu/e2Vnu6zb4+wcDjd6UMI7C8Ly3\nN3WuUllWVTJd5oVQlBTKEurBsLssh0AijeA8tTZ/vg2djmLDcxk4yH88pO89vjdvp9FO1OMbUnIl\nFG8aALnnNhegMAIfL7u1hFC4E7l+b9B/rtnWuG0ipI+B71TEo5gUSLcCCCkhyYJSs8mozuySgQG5\nZMGNFUULAyBrdu5dJyLtuENEtH2BRTINkGYF9O2riieHGpElOsIS5QIQgYu7x5Bl1xGCrI2EXqsJ\nn7PX6LaVKHJE37qUjBIRra0qIqjWGSUgIrNSxDPvqWhnf3cHPue/7UIBUSzoKhjoePuAempC0Dm0\nRkQUSlZbCCKXeC8SIYQjQIO55AvkUNuayXFmEz3fe/eUqLstGYTDqSKCSsWV3cL8Q/FSXwjHUQZS\n2JJkMJtq/kJgoKhIshfDEpSJXEVTqdeN5F8Q8X1eB6LaMZwmkvN4j+/Nm7dHmf/he/N2Cu3EyT1n\n7o2DYUe3DAjsw4QeEVEcPLw8EP1BCpD4gpKAZdx2ATsFqmIxigmUBCtyl7qqx8wkrRNTaZ1oZANj\n6kYJttmICa/9se5bPyMKPkbhXAkx5aq7XIDtCxFxTDH1N384rbbX0CXOpjT3TIAgq8S6JKnKdi2p\nwT4hpGCfeeAR4WsPQkwn5nOnoIFQrSkUTRPXkhy/w2OfJUqWJXCeoBD4CiTi8tuwzAge6CjjWkhD\nPocsgTJoUz4RUc4j0Du4f1+XdHNpzR3DNbaELI4DzUXIALbPZbxZAcsM0cNfgPBoAv0GipC3DZCa\noeRHlJmSjbZEYU3+TrcNv4moIeeT5en7qB+9n3mP783bKbQT9/juTRO+Hwkhb/AEMr9qUDbqNPcC\nA15XSLICSJD5FETLrJOIgaIMKVXNciDvYiifFPltVIjJhXC0KIgmwwA5OYpyJXgM8XacaBht6ko8\ngQgq4DskvdsaUNBha3xOC+/p+UzHEckc9FrqaVuStRZEGBKD8KULT2KHIZmrDApmphO8Xt5OwBs6\nrwqt8ZbEFRFRLCiiBDIyFcK1CkU6CYzDCppB5OeSGw14eQOQwMr9mUIZ8qImGY1wz9w9QRQQQ8FO\nVQqZCtB9rAsZ2atD8RH8dAYzR/yCKo+QfzmgxhxQWiFFRyEg1XLhOjPpc1miepOgnTBFaXYhK0d8\nbkTDH2Te43vzdgrN//C9eTuFdvJQX141gdQeI6QqBMYZjFcDmTMVCDoHdb8icXFvhYo5NLEMHdQH\nbm8mzQ+n0GUmqmgWWWuFYWMdZJcDUVSJgHRz12IANo4OFaYtpKFnGCjBMxww4TcdaFx7PlcyZyRt\nkbEjTF0gen+ix5mMdLvXYYjfBAWYmnynAhLVSLq1pHikDvkPS4nyAmvRoShG5KVBWZrCUOLRkDlZ\nC/SctuQ5HCuXRmXBcx1DsU8ExFme8c1awLxGS5ISyD3YLgTOT2fQ+lzUnhaQyemkv1HlZq2ry7zR\nmO/ZcAjFY1LM1YKW4+O5jq2UVMYQ7lnpGGaYK1MBP+s0GEAq3tXSl3N9FjHHoygFzoeLh75jnIoQ\nMqIfYN7je/N2Cs3/8L15O4V2olA/MIYSR4FLo/gcY+4C8bHgBqK/ZAQWWZB2KmU7BjiXVgDaSQNI\n7BgUxU5sUy+/Aj3qayLOmAK0c11OUC6KJP4eQIgiGeuID/tcr99HuaiQj725AjHhmeLgQpjsEK7c\nTce9CSwJgNXfEFjfAFa/VuPz1BDqQyFSRSB6BMgwcKwxLL8qELJw9S9xpJ/HUgceQiSGIMbthEsB\nyVNZMhzH1OwQutBMRYh1Ueg1VhyrD6Q1dlwqJN5dYPPTQqIloNEVS17BA3MB4q6FpNAeHukztrrK\n6cip0fOVVqMH9QZfXBPmIIwkHwD0+0Nojhq4ZzR4OCcCWx4VCxB8lVMaWDo6VftMlpX2mLqW3uN7\n83YK7YQ9PlFdSJWZi4sDeVeXQovVhrqHNgpvigfurqhnc0U4c4AOCyiwqEoeQBUy2JoiEFlvQMkk\nZKtNpvxGvXFbZYzf3WcicAJdcxry2txsgpw3CFpORelnDARNlPA5s5kWtWRA5mz0uGgmJvV29/e5\ntHU4muhxIF57bpMJtEvntFyzIyW4lRrKO6v7KcV7BIAsXIw8AnSUgsx3JISVXai3m0rG2AwKYaaA\nTKYjaSU+BS8lSAm9bq+p40zeB6U5laIH4vjw7JRCQhpAV2Hpci/03Is5o415CNl8gCwG4m1HEF/f\nl7yQGhy7DnkjWzLHiNKG9/i679xU1Z7dyctwPfw8rtX0ubsiyk8ra1okhQKdueQLtCtI2DJymOy5\na/iYyT2R2P6qMeZ35d++k443b0+oPQ7U/0VikU1nvpOON29PqB0L6htjzhLRXyKi/5mI/kvDLNxj\nd9IJA0NtiV9agWYLgGsbHYY1V7a02ORcV6HOmpBuLWiFPJHCiJsHGj+fHih07jaFTFvVmHxD6ueX\nMX4iysYKo+/u7hIR0au3VVlnR1JXG02ohZZU2XfvQCNHSMWtdxhuFw2F9fOcoWYONfo51KI/fZ6L\neI7uqHb6oSi/xKTLladXdRzfs8bLgzVYzuRCcu0Pta10SRrjdrH2HohBJgI/Y0h6MADrcyHLJjOd\nq0NRrxlC/NxCLNkVqwzv6zhmQ75XWFRUAUJ3s8f36i6Ii0axFGgB1A8xZVf2W4DtmSxDBgOI98tz\nV6nruY9gGfLOLe7is7uj9/RWwvX6Z0HB6Pl11TFIJe9gNFIh1tdEg/8b9/S6dya6BG3I+dfqeh+v\n17lnw7Nn9NjnLqt6E9VEbLMDhVXSR8AVYwXHFNs8rsf/X4novyZNg1mhb6GTTlYcb/3hzZu3b699\nqMc3xvxlItq11v6ZMeZHH/cE2EmnXY1tS8i9uZTbzkFaOpaiGAttgo9Af+zgkN+eC6Pk0e5c3rZD\n/bseEF9FJl1mwLORtKjOMyVrpkCczeRYddDkOy99+9oYMnOnmevfDQcamhtK5ti98b3lvmDB5758\nTpVtzFw9zpWz54iI6NqBkkIuGtWta2beVdDCG4lX+aN3biz33ZRjvr6rSGgC59kUDcIfef6Ty33f\n/+JniYiougXh0rnOi8tEHEEa3mjM1zgpIcsOshutIKAIyEojmYGTI73GHD5vSairAgjGlcmiwg46\nt7ncyxF0xamEY/lMx5sEvB1B+PD6kX7n9Vs8pn1AKKGgicG2zsWz0COxkIzSw7uKEu7d5O0KFHp9\nclvboZ/b4vvfBjK4IaHTChB0M9AynAliiKEgKhUZqGM6+qUdB+r/IBH9tDHm3yKiCrFI/N8m6aQj\nXt930vHm7QmyD4X61tr/xlp71lp7kYh+joj+mbX2PyDfScebtyfWPkoc/6/TY3bSMaQqOo7LSUEE\n06G46VxJkGys8PT+iKHbUakQ8L4QKyGQPhXoijMS5Z0ZKJksoWgAGXUPNEnk7xwMFNp9/RrD9TtH\nShyuSY7Av3ZJYfszV88ttxtCsO3dVrg9kpj9aKJQMs2B4Nw4y+duKJHkblOBYo0Q/z0QAu/t2wqd\nqc1jsgC7k1AhbSR5C+/eVKHJdusNHgPA2EYNUs9mPEfZWAm/g/tMaH3lPV1mXN/bXW5P5Z4hYfiZ\nZ1hw9PltjVfnQ/1OQ56JNRAHnUuIfByjxLgObSJ5IfswttB1EwJ9gIk8Dzv39d6+dajEpJvjelcl\nxhei1rPAZwzmv7bC4+zN9TtXZK72AbbvgWjBn7/zFn8XlqUvnGea7MzVp5b76iCWmklhVr+vJKIT\nls1E58Ha42XuPdYP31r7h0T0h7LtO+l48/aEmk/Z9ebtFNrJ6uobolQKWqTXJVXh87U647kt6B0f\nzCBFVlhPm2gMdl/I4F5LWdpViP/OhVVOgT11gpl2DgxwRSHVmiDdIoXvdHn5sAk5AqEwySlQqgHU\n1juRxosbCp2TLsO5zZ7CwskBQLce/22jp9+ZC8QMId6/tqIM/zPbl4mI6DP7ChGL9goREV3r65Ki\nta7z5ur9B3cV6peyL4DCnBCWChWp54fgAnWF0f7kU3onz1y4uNw+2OXlx72b15f7OlK4s7qicx4E\nut0a8zg2WnrMsbDjo0MdG9S8UCE+rMQcBIHZa/BsVKVaaKUGhVWxfr7i4vNQKDM8ZGa924YeBW1d\nAtUaPM7Os08v9505f5WIiPZHkA8w0e3RUnpLn7GePLcxpBNHUBDlugQ1oAFpKvdqKjkNxyX3vcf3\n5u0U2skW6RBRKqxeTQgcA2WEicT0QR+StsCzrUkBS6Om3jIQBRngb2hwqHHbnSP2kistaAcd8HeK\nXEmdtKLecOs8/210/85y34Z4ksoLl/Tc4j0iQA4EBTdzKbE9W1WyMe6xJ65DGXEGBCcVTOBUq4CF\n5DW+N1FC6vaeeo9PC6G4+fzKcl8p7/TLT+k+kyjRtBBkMuhcWe6bZCK53dDvuLJmIqK4zmNea2hm\nWdLhv12BjjHTTLcXF/nz4HNXl/sa8gxUgJ3LcvD40vdve0XJvT3xwNfeVQRYgwfFRC6ercfsS0HV\nJuSNbXf5edru6HVdWoVxOJluKLipX/0EXyvcx5UVfQZjeQZr8Ay1N6RIah+O04esQ5nLpI598ETN\nyKrHh5A9Rc6rQ+GO654ULtVI6VjmPb43b6fQ/A/fm7dTaCdP7kkc1qmV5BDDnkpN/RS63sQAB7tS\nkNDpKQSME96XgfLKYqTbNSkKalUUpjm99gJq+FG5pC51/2erZ5f75g5mA/QNawwbA9Lx5GOFYakc\n32aQAmtdjbiOEYmkwR7Hw22hsN6p4BxNdUlx60gJwako+Gyu6rIoXRWIDUVFFoivsYtNH4CSTJuL\niWogMhoWmkfhWnMnIOqZCuTNsOX1XJdaVnTsDeZMTPhvJ4eQsgtzkAuhO4X027mIaZZQ71GHrkZV\nUWcaAUQfSTr3IeSCfPoCPy+Xz+q9jaChp+vJMFzoeOMmz2US6XUnIKzpoDkWyERCxK2cv7zc15yt\nL7eX3ZNAcNR9uwRtgwX0BAik0WcOjTZL6cmw7LhjP+Z6fG/evP2rYycrr20MGfFevRa/6ewCiBV5\n540ABYDgzVKfr8xAkyxjgq6AcswIylfbUv5YhTdrIFle2PGlgAIW55Hqq1pOW21xJtwcCDa79FJA\n2lTVW0ZCzRxhbzbxjNjjDN++793k7Llgod5jtcvXcB806vbAI+1Kb74zeglUI+mUA6o7eLdd8x4D\nbFAlYeQSGZ2/MAQ5a/GwBq43kpBnnALZNQWEI33gbKnzlok8tCGU14YuP6KqBMmWNHPZnFCKiypE\nVekoY+DeH+7xs3F9X0ncsRym3oLxYtccOU4NxmZjnv8wgvAjIItAUIiFvonZmK87aWoGZqWmRF4m\nSkDYN9E9RyF2zwn0cxPydyxkmbo+hq7FtvmYy3K9efP2r5D5H743b6fQTpjcMxQKCbMmDQgrQHLF\nkrlUhUaZGajkTKV7yRzIPyuEU5EDsQJddTpS6IHFDmlF1Fygi8kcWlnPhFyqZADhRS2mEip0y2VJ\nUMw0Wy8AJRkjcswlkIi5FNcHINUcAmS9c7hDRESrqRKGG+s89lvQwDIDeHogGYQT0BdoyZ/GAP8x\nxu3qRRKArI4IjWvQqLRE38B/W0KnHdes0gDpGcUazy5lOVQsINdhxvc8grbS7aper9MdKKGLT+J8\nFMzvAuatKzLrSUUJuP6MPz/Y12XGN65xMdDl7o6eG8aetoQUhexPK2mmIeRbGJRZL/n7SEbO7vPx\na0AsVtq6vCB5Ri001XTPgcFCGySgZUkRgiaBy0KNsHX5Mcx7fG/eTqH5H743b6fQThTqW0NUuJ7y\nFd5oApQnKZZAWB42NMa6EAa6BIHOUOSZcoDl86HGkQMrqZw1hZ8253PmIH5YFgiV+Pyzgca4gyl3\nxYkhndV11cmtQslipt8pRJPeAsTOZez5AsQpITFzv78j16Vx8VqFj4O18TMo1BgXUnAD/QQ6Ajuj\nCCB2puOYDfj4ISyLalIUEyLMhWiHmzeMpedHvMwJHoDBkHMt96WEzj+Fo9YXoN+faIpyIF1+Soge\nJALlC8hF6M90bLUJj3mjqVB/fY2XD/uDW8t9L99gAdXN9K3lvmdWNQX5zCaPY57rPb1x+2tERHQI\nkmN9aOgZSyrvSkd1GRoVvletpj6/zY5+3+VKYNenWPoWGJCbW0BMf/nYA6y3yxTjx9Oz9B7fm7dT\naMeV175OREPimoHcWvs5Y0yPiH6DiC4S0XUi+llr7eGjjkHEnXREG5CsU+IBYsXETipYvbMBAm4h\n79xz1pgAACAASURBVKkFZNnFIvI4Ak97F+Lmg5vsqdvvaflpSwii4VDf6k2I654RSeMSPPFcutlU\nG+qpHRmJrYyxT1smApLgVCkVlJBlOt4FdtrJOJttXELJcIMRyMqKxoFdQQ0RUSGI4hAkrtui8INE\nkAl1Lod7XEizd/RwW+kuKPBkIEIaWolxQ2YfSXFImcG8QIFRIHNQTNXb5ZKBmAOamEGG4EGfx3Yw\ngSIqaVXdCIDgBARTkghRpljmyvMWJUrk3ZMW6S+DCGkHEOZGxV2WHueWSLd/8bV3lvtugzpTIp1t\nPnVFs/Q+dfkiERGthnrs/an+PNqSbdkBlaGqdJIyIL2Oz7qV/uQuK5BIUVF5TOUdZ4/j8f+itfZF\na+3n5N+/RERftNY+RURflH978+btCbCPAvV/hriRBsn//+2PPhxv3rydhB2X3LNE9E+NMZaIflm0\n8jestQ4/7xDRxiO/7U5mLPVShiSpKIuETRhCxJDJQiptCSmlDqpmkMt5NGQI7mL8RERpT5cK3VLa\nTqNQotQwN1eUqGs0Fb5WpAmmgYaRATEGnE2VdJuMRUUFoDxC67lANgvTXJG21SiKiOnGG0LqFcr5\nUP0cn3tU1eXI7oFC0UJiuVN4j4+nDJMTSOGMoU+A40IHQB698eqr/B3oddCEGvRzIgQa1nRwicS4\nc4DqWV9hsJH9FrrvOKg/h65Dh1DPfyj5ERXs8iOw/UJF772p6LytbfOYGyt6jfO5aDXAcjGXZ6gP\nc7UPS7qxFEd1NjRf44f+yl8gIqKrP/zZ5b77h7pUKCI+Tw/i9BV5Dkq47slY57U/5mtc5EDiCoSP\ngSi10EZ7Lt2PKkAIOkH9x21Vc9wf/g9Za28bY9aJ6A+MMa/jh9ZaKy+Fh8wY8wUi+gIRUav6eEkG\n3rx5+/bYsX741trb8v9dY8xvE6vr3jPGbFlr7xpjtoho9xHfXXbS2e4ltiqhKRGvoc4aKLzE4nVz\nkIQGMicRJFAA4TESgm4601BWu6Nv69UNlnBOgdiqpewVKk19Q5tQPehMiKgM+sZF4i2zUgmnWZ/f\n1hF4SMzumolXzwI9duw8I5ZPQkizXufPF129xo1n+IVZ2bqof6dq1lQTyFFJdd4WEvYaAKlWQZ05\nKW1+GiSuL8vHEbzDsZV1pc7fwbbTpZSNIqqZDXXeMpH+NuD53NWWgI6GM/X+e30pGQYkVJFrrNeA\n7Grp9tnnefCbK3o9tX0e+8YNDecN9sZyXeo1Qyjg2hvw51mu6kuNFj9P50EH8eKZzeV2Llc0h+zE\n0ZCfjRkgrmoVSGtRfyqghPlIwpMwHEpBC3Lhsj2BEC9zCUU+psv/0DW+MaZujGm6bSL614noFSL6\nHeJGGkS+oYY3b0+UHcfjbxDRb0u5X0RE/5e19veNMV8mot80xvwCEd0gop/99g3TmzdvH6d96A9f\nGme88D7794noxx/nZEFgqFbjU84aIrh4RuFpLWToHc4VEuWzARyBSZgElFfShOHRwR5kwo1VnaY2\nF1ADKisktd9ZrNLTBmDyUCD+GOqeXYYg6mI6gq6EhpEzLNSQGumiAtMsxCTGXSERkZqiU3BwRj/v\nXmXI2ppdXO6rg2T0wQ7H/lNYcrhT5kcKJQ8OtO13vc7X2IOlVlOyGyNoVmkgRYEKnuMMVGGmUqQz\nhTbjqCATSo4Bxtfd57MJqPbAUqBZ5fsTr4J4qOyr1BU674GKZlug/mpLmza3+tyk8o07msNx7Qav\nSIMKZL+lOpc7Q77GPYjzVxa8rqqhRHtNSc9cxC8zWE72pdArh6zNTh1kvIXUTqqQgSnPzhzEW8ME\nyW+G/THU6weu2EceIusVeLx58/Yo8z98b95OoZ2s9FZgyEoMeL/DcObsBhQ7iGxSOlYmc3KobH0u\nelERwKOWFOG884bC2K+9qwGGlZj392I9Zt3w9xN472Ea5F2B+geQOtlq8tjObkPEYIWhcZIo/DwC\nyDsRqJ+CZFNL2GlEZFj0YtsM62+f16XLZzd4SRJkEB0IoBOPMMj5XL9TEcmxYqLLlfdefXO5vXOH\nWet1gKxrUoDUbivEjoFBDiS1dQayYTNZFZhElyZVaHFTrUote6nzu3vA1/PGjZvLfW/d03s2luVD\npwfFWrK8y9o6nrcu6rPzb5zjeU9SfV6aUuO/fU4ZeCNp1gdTSPE+1FTalkRYnuroHGyu8xxFpFA9\ntwq3pxmP7Wigugx70sB0CroLZlUjJHVy6ekQEZJ5DWFZavEZTXh/pwt9DVK+z8a4vgJeesubN2+P\nsJP1+GFIVrKbrrf4Dd8EWebN+W0iIqpCJ5xiBgUJQp5MoTijIplNW0AEhZAHsJKy1+hBl5NWyl47\ngPj5HDrgJCMmdrpQKBOJx09BVjkTUdAc3PcIRDJdllgCJb+poA0C9ZkCRSXXmJD6w6aWjW5M3iMi\novOj39fv3NZ23Af7ohhUqqdYFxRSqep4L169uNw+e5YLkdoN9fgNidPXwONHQHw5ZhOz9GYL9rSZ\nhXJkyHVwBSeLhX5nIPFum6rX3NjS+HsmpGoYQ5GUzPH4gha1vLatnvp3pcz4hzOdo9U77xIR0WhP\n72MsZBm2Yr91V49zVoi6WayZnH0poV5MoEOQXi7NLT8b9/v6+a70LFxdVYS4Dq23Q5Ebn4J6Uypo\nJIXyayysigU5VgFBOv7ZWockvcf35s3bI8z/8L15O4V2olA/zVK6ssMQ88u7DHG+9p7G3NfpHhER\nXYC4eDNQQsRK+ughCBBWJK0zgiaUZ84rbKxLoUcFhBlTEWSMIE03mOl2Z8jvwxqovVghqXKjEHEw\nlfTOse6bolaAfAfjssMBLyMWIBg6Gun2J/7sRf7OS5pm+r+vsabAuez/W+57sYTW2jlfb1BReHoU\n8HlakBabNnQum6LVH0FLbBPKdaSg2lMB6CjEkYE5cIdH0cgCdTWlWGgyAUFS+c5qW2F7C7UP5ACT\nXL/jJOv/0p89v9z3G1//8nL79/4ln+fl6Npy3+dFkz6e6bxsCemJYqcBqCE5Wf7M6EVMRb+hgLlY\nwHLHSrJDZw1qUWTZ1IOuT7UWLFvl/LM55HPI8iOHlGksWIsLXkoku/psOA3+0Uh0+rEZwQeY9/je\nvJ1CM8fN9Pk4rNdq2J/43k8REVEkoaf7B5o9V4q3dKWeRESb4BXOrzE5cmFbK4DbLSE64DpCkD7u\ndLmwoglabK4DS5GB5p59+E2ZgSdYLFwJrr61Q9EILIFQAUVoWogXjKC01b2hZ6Auc3CkpNCfXGMv\nNz/S8OQ33uZiyN2+7ptg0Yt44gCkfroN9nJV6HNXb6jnG4kHHk00Q21/wMfHYpMFXJDLVCwg63B5\n5dg3DlCG+4PQPIwc0lhJWOwslMocd0GH7+IGk5n/xRf+2nJfFbxb1meCLisUJYSS1UmxjndP+vWN\npvp3Q9DS25P24yPIwHSqSdi6vFnT53JV2rdvrGvnpUQ09wYjPc9+X1Hajoz33lD7B06X6EjRBPaW\nnMnzOuyDmpFkCK6v8G/i97/yddofjj6U4fMe35u3U2j+h+/N2ym0EyX3FnlOdw6YqCIRhtzZV5gb\nCATfRgWdlsLksxsMW7fXdV8kxMscMTZYKiRKYvXzUPCnxRbQsFQIQoHOQDgZEXMELowC0QooLJIx\n+vlCmnuG0BCyVnettXU5Mhjol3aOGAIOdm4v993Y5Sy7IQpWAsx10DqGQu4aybVBLsJ4cH+5vXfI\nsH6K7a0l1m4fKCCCeREACahcu7/Azgi63bzfQtItLwuj11ACoeWWfCV0N6rL2GNQRbIzaMctzTkr\nVT1mWpcuS3DTgjFvBzkIdQLR54jFDJ6NhmR1tir6nZW2ksmbK3xP11ZxSSf3Ap678USXYrFsQt0P\nLSRjMUx1PAkUeDUkB2Ew1+Xx7n2eg0CWTXnx/r+Dbzbv8b15O4Xmf/jevJ1CO+FOOpYWIcOZmejK\nj6BpZke65ly4oGmOn3xeY/Jn15g9raLElEB8lFKqVJRxrbi0UGDtS4FDBiDpA5hUIGgAsNKlU+Kr\n0jHIJRwmAnklR24voNNOWPJxwppivAS0CEeSw7A3VrZ9KtEFZNNxuK5vfaMFS6RVZvD70DvgCFJK\nR67hJ/Rnd91Y3FKH6MEU5ZrUsCepTkJVUoJDgKQF5FkMJcchh4aegRT+RHDsBXynWPDfziGXeSgF\nWmFDl0000zlKa9I8Eur1RyOuw++DpsPegOdynkEj0wAkvM5yunK3pRGQbl1SZYHV7/bWl9v1NjPq\nAdyVpb4A9LeP4Xlryv2fEVxPyMuLal2fhzrU3pMsOfqZLs8OXV8EtwwJfMquN2/eHmHH7aTTIaL/\ng4g+Sexs/hMieoMes5OOIaJYsuHG4gFC8C7nNtlTP3NB36Zt6HISSRaTgSyxWMo96yAdnYaKCOIg\nXp7bWRA8XMJYgqpMns/kc33zmvDhApXF7OFsqRC8VFXOPYYeb33xBNU6dKOBTMVCPJuL6RIpkYcl\nsvjKrtfYE622FSmtSP6Dy+gietAZNOv8nRqgI6fkXIUMtdWWIpPtVVGAwWxA+Q4k69ERZDLeus/e\nqQ99CK0jI6FH32gGEteS47EAlDCR3IIkVK86mYPqz+hQxqZjv3adO9/s7musPBWv3QUp7BRkvHsN\nJura0C2oVuN9YQR97iLNjzBzHtN8omTjRDI0x7uaezEbKvKIhVDswbPaXJbYAtKEc7o7mRT6HFiJ\n87t25B+3As/fJqLft9Y+SyzD9Rr5TjrevD2xdhyV3TYR/QgR/T0iImvtwlp7RL6TjjdvT6wdB+pf\nIqL7RPT3jTEvENGfEdEv0rfQSceWJc2luaVr9teFNtjPX+JDrHWVpCogPp9LU8dKrBC8IlCpAh1H\nQoDtRoibGGq/HRosoMlkCWmqgSP/QLySBOKbUmFsIpB1Mte0zBnExSOpq45DJYXuH/I5p2P9Tp7r\nHGRCtk0zVLlke1ALXq+3IfC1lep5ttqcqpxCkVN5Tt/zL1zluv/PfPLicl+lIvoCEB9PLKau8sTN\noOBmJHXnI0hNPRjrvL5dZ3j75k2FvEOB8AYFOK3OqwPwFgqecolxF4UuGQ4GCuEH97hwpVnoMY+k\n61El0bm6ILH2XleXRVGscxRLD4QIelBGsrQMAHZjn9RC2rIX8BwYKb7JxzreAagMOZI7bepz2RFl\nqQiKw7CNeVXI0LWaLk0qzncXH3/TzIiIPkNEf8da+2kiGtM3wXrLC4tHdtIxxrxkjHkpf8zBefPm\n7dtjx/H4t4jolrX2S/Lv3yL+4T92J516NbbO23YlnNFuQgaUZOyVEOKbQJinbvhvLXSmcQU5ARTP\nPEDKiRZZAOSfyzZDXWvszrPMHINW1lnmQmpKOBWSHZfB638O0iyJhAVLUJLpi4e0pXpVE0CPOMlg\nw553iWTFNdHjgxdrSLkyhn6e3uKiljPfo0Tp+fMXdfsyh0nba0pykXgaLF7CTi/5hAm06UCLTWZ9\naet9pN738FC3qwH/bTDXub4lHYimUNw0g5CaS+IrQIuwFNJ0PlL++GBf21/f2mHwuWJ0DhwRuwrl\nyHUJRYakqBCLiiJ5tkKjz5gJXQ8+QAapkntxRzw1IMRcvD+W797fU5nvsSOGZ/qdmoRGa0Dihka3\nEykj3wYS10mRu6l6/0Z2D9uHenxr7Q4R3TTGPCO7fpyIXiXfScebtyfWjpvA858R0a8ZYxIiukZE\n/zHxS8N30vHm7Qm04zbN/BoRfe59PnqsTjqGNLvJdc7dXlH4lIoA4Qxi2EioOESGRSKuUUkUaTw0\nAhgWxq47DEB9OZCrpyciCpD8E5iWQVw2E6iZAYHjoGSOTSQNLh8YTi4y/Y6VopkANAOw5j0W9JtG\nWNAhGXMgvGgAnrZE7WVb2lgTEX3qGdY9uHrx/HJfZ1OzINOmKNFApxYr441B8rmMtfBkLlmHUPdD\noWSZhRaIL4D1Kw2et4trunwI5F7cGup9DqHNeeiKajCxUpY+RwfazHL34N5yuy9EnhmBfoDI9kRA\nhLq20zksIwjyBWLJgEtAxyCUZaIJ9Bmr1HVeqpITEMDyYS5FRd0NXWqdXVzVc95n2H/Q12WRK5Kq\n1PU3YUCUdTxh2nO1iToFnGl481Cu38tre/Pm7VF2svLaRBTKm7aa8pspQVJHQlgheLZ6FXrrSfgn\nhd5uztMHkAGFbY8TUUqJqw83Z7BA3pkxeGrJrjOo6iPuJwRCqhRyMEYIAiShK/UNYF9VMs8KKPnN\nsaRVEFEEb26XjYWlBSkgnDNdfut/9qlPLPddvnSZiIg6PSXvEqgjCAL20AYeASPElkFEtYCyXJHv\nNiVoFUp5cQL6hc2qkk+zGt/TaQsIWyluGGXQB6+in6cpz38YKCKI5Z6Nh0osLiB06pCUk5km4toQ\nHiSq/8jnQBAHSBbLcxQA4nIIJUp1/hLYds+gBRRRTPm656Dkg8pQ7l7YgWbzOeCBZGMKdbsHUndR\nAildE7KyJvUrgc/V9+bN26PM//C9eTuFdqJQn4t0GKY0pNNLDYouAiHJqpDRVQfZ7EQylyKIc8YJ\nQ3gDcA2lnl1MP4yUEHExcKxnMAQSyzl/v8RSUadsAq/KSGAYvj0DXD4sRTDhOJKjMASRyzwGCC79\n2QpIdnIZbBijrQFZuSW91C6fUXKvLi2vg/D958XVEr9fIZKBXCwLcWRj3baeu7BMXOal/h1C4lZL\nZKRzyGWQwpJ2ruPpwtDu9RnSxpFCebf8KyCjMYC4eSzPkYEllMtutJDj4ei3BB597FVXCIyegSR6\nVcQ63bNGpIQfEZGVEt9ipvd+IUVJfRCTzUF3vCaFVXXoZFS6rE2Q3E7reo0uc3P/UI85lx6AiXQ5\nOia35z2+N2+n0fwP35u3U2gnCvUDInKZpnXRzofu1BQJlkVZdsS3C4mlJwBFUxejBZY7gPi8EaiL\nzQcD97dw7NQq5ApSYetRHHHOx1zkCtfmEjtegMLLLNPPHVx/UOlHoO8M4trQfjnI+ZwliCYuBS+B\nzU0gEtCuM+ysgDKOdUKW2KYZrtdtG2CBl2w+4kVgt0PRio8zSIstGbKG0FI8jEHcUuY6g+vpL/ja\nD6HBaBM0IpPUpeXq5653AEL5Bjw8s6mIrkIzTJfuOl3owYcBj7OA4iNLoBVQTOU8usxozfnYcayx\n/QSiRIERzQeYNqerH5Y6F7tQmz+SHIPBRM/tVi6HE8jrQHVXudx90NXfH/E4E1kyHBPpe4/vzdtp\ntJMl9wxRKp7Kee0UnYtsW1C0yaFgJ5P9C/BitVi8M2ixVWq95XZSZSUVVE9xMdoASMQI9NTSkt/s\n2Vj30QGPe3xfa5H27jPJkoHsdQZpbTPJxEpBU68meQkdIMPyAMpyXS4DBNPj4P1uk3rvhhzTJCiL\nLZ4EpL3DGIhUSRFEfb1lSuQDUuNI2vE4kwzmhZjIy2I4Duj45TF70Dp44taEt+tj8OhAroZyvRGQ\ncu5yCyifhjolSsQzTpEUlf8v4BmaSXYiFulUIyAJJdaOpdSxEKkFoDkLGZyuZ2EAxUBByITr1kIz\nJ3dGmml4VwqM+lP1+KmQ1rNI0WcGpHVh+G8nUETliO6aoL4gPJ4v9x7fm7dTaP6H783bKbQTT9l1\nbxoXvg+BsHLbxRTgfQQNHEOGOgGkZVLJRBCEUKnR1s87iUD99GFyDzNtLXRWyaSJ4sG72o749Te4\nceXdfa0HHwu510z1GirQBcXVYhvCghuGt3UYzwyupy7pyBUg1VxcHbukFKAEFEl76wDUaeZCOCK8\nR2wcC6kXIenpxgH3BAtYXLw6hxj3XOLzMxAZJUhrdsh7ksH8FkKulkrIGojpxzKOAKiqSG6WhYIo\nAyKlpexPoBGnU6xpoGJT7Aq0dDxhU7/TaTNEr1W1AWYqhUqwIiBchRghUjEnwsqFR6AMdXZ1e7nt\n5MbL8c3lvoXM62Kuy56soVA/lmvrwJIil1yTuMFkYxh4qO/Nm7dH2HcgnMdv8WriyjmhsEHeggGU\nhWIBjGvo0GhrKCUX8uPGbSXdpq+/t9y+uMWEyoWrzy73tVf5bY5SxAuQPu7vct+6/oFm162scXnl\nGSl+ISIqRYZ7CqWiR/va824opaaomxa4DCtoJpHP1LNtdhihXAeubCGePodinw5oFZ6V0uZWC90Q\ne8D9I1WpGd/WsVHO3mNj9YJeo8wL9uCzoEuYjXiOhiBXfThlBLQ30FAVhrViecTGfUUjMynbNZAV\nGEH2nON2DQan5KDodbGIyjXxqEOzldWOSGXXIMtOSNMFkI237mlPwXsHjOLWWxrO2149L8fWjER0\nmcVQSrbh/kwO+dmZjpT4bdRVynxrhQur+kN9xt4VTb5bt3U8mF3qlIS6HSX/Uiknn8pceo/vzZu3\nR5r/4XvzdgrtQ6G+aO39Buy6TET/HRH9Q3rcTjrGUGyc2CFDtwl0UDGGyY1OG9o9VxS6pVKkEKQK\nC62RYocuSA5DHfdQ4u53oXgmeeZpHgOQWJNDaNcty5GVDVWsKUQ3YD5RCNg/5MsdHilcmwAx6WBl\nCcSVaw0dwHUlwBT1alLbDcSVUyfGZc+FtsJOI7Lj115/Z7nv0L5LRERv3VXYeOeuQvRIxvS9l7WG\n/y987vNERLR2Xq/bzpTI27vBRNR7d95d7rvd5/r4t3Z1uTNaKAE3HjDUNUD+XVjfJCKiAnQVhkca\nF59I3TnG35cCqEBwPqBZICg7gPyHVPIBQPKB5qJoU0CRzbs7eu7Xr71NRET5SLv0fHab5+NHPv3C\nct/5i+f03ELKjfr6HBRC6jVWV5b7Wl1V42md7cr/9fPutRtERPT2TZ3LBRClc1nOYM/BqpynzF2R\nzsdUj2+tfcNa+6K19kUi+iyx7Plvk++k483bE2uPC/V/nIjesdbeIN9Jx5u3J9Yel9X/OSL6ddl+\n/E461i6Zz5kw3gEUsKTSlroCVGYF6riPbvPpbr6isc+v3mNIlkOt+V984XuW25c3mKkuFwrdCmGg\nl62MiWgyAumnBsOwOdQ9X7/N57zV19WMEfo5KnUZ0YRGkG4zg/TQQt61VRD3tASxZ9EpiKB4xkkx\ntRoK7xvA6r9z7RoREb1yU2WpBhHLX90Z6/zNpgppr2wymx83lGmeFbzcyWc6tgyKSG7KHNyH7jCm\nzunRZVWXV1Ory6E7fY6qHB7pkqMnsfJ2QxtTHo6V/R6KyClKTDmGP1vofarCUqEljHe9qmN3/Qby\nvt7nV67xM3Rnpt+9OYW1gKwZLnYUljvtgt0djRatNQCCT/n4AzhPQ2B9AdJa/T2NsNw/5HFA1jJF\n8nNcXV3VnbB0sfKcobxWTbonZbPyoc8+yI7t8UVa+6eJ6P/+5s+O20lnDsIW3rx5+87Z43j8f5OI\nvmKtdZUGj91Jp1ON7Uyyv6w4Qew+ksrb7QEyZqjeYyZvtarVzKXtKsc0EyiyaQOKKDPxJNiKOuM3\n86yvsefCQDtuKXhI2upVL4oSUHQD4vQD9v7FRL1QBzLyKpJ1NYa+cEbi+NWuertoqHPQrrMnqr6P\nvPbZdRXOvHrpzHI7WRJwGt+trXO+wS6UvsbQiee5S0xOPf+UklSpdAmygc7VGJSCHHI5d+mSfkdi\n5ZtbWhh1MFIS8U6PP9+5oyjtc89f5HHXFcF8/b4ij/A9N2adl0juaQ4ltiuAetbaPPZWT4U+z24x\niZhV9BqOjvj77YUig5XMwnf4Op49ox6/Wkop7wSUbyb67Iz77NWjip67scn3NwWx2GxHv3//Ln//\nzR2dq/5c5LW7eh/PXdA8i0QKcjLIMg2FzHPS6+aYhbmPs8b/eVKYT+Q76Xjz9sTasX74xpg6Ef0k\nEf0T2P03iOgnjTFvEdFPyL+9efP2BNhxO+mMiWjlm/bt02N20rFkaeHIPVnvZ6BF3qgIbIF2zysb\nWizREIFCrLf/kRZzitj0cgFE0YEU1RSFXmo5lwaMQLwUUDPvSpor0LGkLhByZVs5zIl0chndU9Kn\nnCmsLCW/9P9v71piJLvO8vdX3Vvv7ur3eMYz9oydScwoEjhEECsskAMiWBHKggUIsUCwQyIEJIjF\nImKJhIAsEBIiQgIBQYQIIi+AYALKyiEBlJjYEz+Z8aRnpt/1rltV97A4/+n/GzzN9Ng91d2u80mj\nqa7Hfd97vvM/vk+oCaegdDulINSA6Oua6uDXa6QPEHqua0ZtGw1Tg7lw4SIA4PuepPx7EMaskE7B\nvB23hWX/uk4GjMMtv+3jtgWphj0SIVVr5+WHLfgUnGeqRZuSLZCN82rdU+Ynr1AOW70Otslau7lm\n25HqfkqLpmz6MiXxUG7IKWkNSEpNMRUN7i1dsCnFkpqJ5hkLcFJ4Kvf7m4qdk5Eq7PR2bTm5s+ut\nqzbZNEPCsO2pfK1ux3z1MevN/+FVfwzPvfb6/ntX3/DX0Zj0F+bpDhXVHAiKP4CZxe6bD0UnnYiI\niIMw9bbcoHMXCrkGlLLpazVZsWijVJ0CQPM6WpZKpOmmj9kxpQDHpODTG/jP56jBwqmSypgqzDKx\nFFWv5QMuaclGVdFGGq5AK4c21wX73rhjn3f7nlGMaEQPbbk5VcRNKLi0MO9HqTUa0UvaVjokZZtW\nx9hKac2zojMU/CvNe4ImdXsvIYebRJkAe/DlPQ3u9XkEtBGkP/AjdHvXlGTOXdIGlhKxiczYSj7W\n9RfsuHRanlF0b3boe3aMglOSo5E4+MoVaUQvkcR4WlT3I1LgmagHYzJvDKTWCD549lshJaZcNRVH\nQ7s2tnf8iF6qkAz6yFhRaPmmAR/fu+ar8PqbVoVXJycdF5yZuKLxEW0eI7tz2h10tGHKUav0JA9p\nTn+sXH7X5NrbEEf8iIgZRLzxIyJmENOl+mKehSHeVaAATTC2LBKFKzhSiFFRSg5uSLen79lqOMhS\nTv0ya0RzQxXfhOjlJDX6FJiU44CgNvnkpD4DzXuX2Mp7jmyl9TeTtgWxiioPPSY3oNGAKtRU3dUc\nbwAAD5RJREFUcShQfgBoaiBwDON932sZTX6s5Ze/MiCJ62ZwHSKxzQo5wWjgy5FwY1DIHlO133hk\n62zrvl995bv771W1qWh1mQROyU46VwLMDjgjnebstEmYlCoERQs57tBLUCvxParrWKvZMawpDS/S\ntdHXIGWNctvlJX9+2BWHm94lODMJWVVjpL8hzQCqggyHKG2S2GYw2iTTy4yug5FW+4HksxsaTJY5\nq2lod8livaeVrXSx59q4NckGuiuR6kdERByAeONHRMwgpqyrL0jU7aWsNK1IDjgLS77Msdq0SPQE\n7IrjI91Jw/LIieb8c4oADyZWTllRvfeEIrdBXzKlyHmPvNqdLjNdsbLYRKcFTNtH6tU+psaRCUk6\nhWh9nvPzNRhyUmSWpiZt1Wuv1217V5QCVok2djKj4JuauVjetUh/UZtmaiT+WawSDVRK6Ia28t4t\nvz/DPVvOmHwCQup6t2O0fE+nHE3SF+CLaqJ1AIMeNRCpfkFOGvmkfQmnU6g8f3tvx5ub1iS1UrE1\nLWpmpULTLqe990NqwhmrIWVKJd4FNgYN04zMphQuK+hvbNljyjx1tC6k2LKah+Y5T9cb5yx3XyXj\nVqdTm0HbyngHI3/uB3QNJTQ2N3WbC2Q029LpXWH/+o9UPyIi4gBMdcTPXY6hyiB3VW55joIbSeID\nK2nFRvS8RAE2UVvqlCyva54l5EOuNrORJNfgYG3Jllmf88shQWh0tyinrCOAIxcTCeKgDZZQ9kvo\nU1NKZ9tGpJ4GtITyt5k2C/Wo5bc9sH3MxI9cKTV3rC770aNCVXgjauXd1QHidtsqFkX956RkzUBC\njj1BQjvbtNG9dWNLv8cS4SQgqRrmQ8rtd1VBqdO141+iqrZMR/xdEi7d2FXlop79BkVajzIBrsYM\nQjS3qKrw9p6xr5Ken0rdgnZlrcMQCiAPdcRPSCkpJebglIn1KYgIrRasr5o89ojt2zd8y3GP8us7\nWqtQq9rxXW2SmlRNg4xUl9Dd9tfLkCoaE27W0hE/1IcAQKvlj+tw9PaA6P+HOOJHRMwg4o0fETGD\nmLKuvtvvbR5qMG15iYJCmhMWyj1PaCoQMsEjMi9E11PmAVGzLgVZ+lp+yvRprMx7QEGqfpfslbt+\nWYOWUXhoqW3R2fZMdF+yzNbXo4BVX3OrIzKmzLU3/9amUf3dAXkHlNW1hSyvl5Y9Zc0pQOlIhLGr\nU4otEgJF2PayUd+cLaadr2vobds+bm94rYFsaFOG9b7pD7S0TLVENRFdLeNd3zAqX6L9nej0YHvX\n1nNTRUpv7tj27g7sdShxZgWeEIwc0jRih+oWyl1trpkjE0qdihVpijPU6UNhZOeMxJvg1KGI7baD\n/r+jolxHFLxQ8jUELMS6teXpeJ8Ci715O66Lc/4YsoX6QAPIwtbkfCzVKWl3zwKltzb968440e/w\nBPZgxBE/ImIGMdURvywOj1f8U81V/TPn/GVSnznjR7YxqdhkpNCTacvhgAJ545F/yuakTdZ81FRl\nEnVtGcOe4F3VzetT80ztjqYYv/5+256soo0yCfngTTTI4ijlRR9joqVwoerMf+5HgD5JR+9R52vd\n+WXR4I61NR/ca41t5MpoNAzNO31u4hn40SVtmTBSUqRmocR/N2nYcXvogz71tHHDWkXTPQukPvGI\nT28G63EAKCir2aURPWdZbP18i0apba1a2+QRktJaYdTiFtPwulIzhjimHOBQz9mQXIt62tRC9oBI\nQgMQWa3nQqN7aG+lRpmOjqqbt76+/x6H0DoaqHaUrhNlZI72oc+jsTro0GULUUZBGW44x2pI/nrb\n2rEA8kCbiSZyf2N4HPEjImYQ8caPiJhBHIrqi8inAfwSPMP5NoBfAHAWwBfglXm+CeDnnXPZgQuB\nV7Zp1JQkrXqq9f6njJqtNB8HALi2qdwUiW4HCplRv314dBXYCnmOXHXKPojCwbBUiVp1kWSMqbFk\nrGHEjGsDNIA24Yq7jqdcIzKWDP3cAOB0OzvUgNJV15tW1w7VODdeX1bL7ZxUWILBaDq0fvBW19YT\nLKSLdyjJjHTbLKDUIS3notLbes0aQuZ0SpFULtr3tqh2QANjfepV72ilYS+z4zKk/Hw/0FMyJe3o\n77nfPiGXoGD8mJBWQEXNMCt1auCqkoW0KhZVqUkq0Hqhw1LYDw4avR+TCpRo7QbLjs9pBWCrZQHi\nfs9eVxt+nQuLVnE6cHpNUDCyQI5JI62P4OrFglJ9oeMyoYBiR/UFuHKyrddBqDM5sjy+iDwM4FcA\nfNg590H4WezPAPgdAL/vnHsfgB0Av3ioNUZERBw7Dkv1EwBV8XmNGoB1AE8D+KJ+Hp10IiJOEe5J\n9Z1zN0TkdwFcA9AH8E/w1H7XWcjxLQAPH7AIW1kCnFnydPPmRU9JFq8Y/Vyq+Gh8oW267e0bZtDo\ntr37iFBfemBF7VsW6ey31/dflyq+T7xSMRrmlEbnlDt2lD0YqtBilyKqBS21rdH3MPS/H5Eh55hr\nDIKZO01DttRLvUf0ksPONdUkkJp9Xp5TybEeSWelRPWVEt9BncP/7NlOZbO7198CANTpUM5VPGXt\nUSPSm+uWx78daDvlzwfaG74wRy4/VG7slGc7ovIh0p2Sl30lpxJYLdOuUHanqgKcc02j4An5BGS6\nHSPqVRdttirSehI91gXq0R90bKq2t+PLb0uprWdenX8eP/eB/fe4NDvL/PHKKfefK+XusaYAZX+C\nelzC0zPNNAxJEi7UigAmClog0VWop8NI7wl3VE06IrII75N3CcA5AHUAHz/U0nGnk05neO/vR0RE\nPHgcJrj3YwDecM5tAICIfAnARwEsiEiio/55ADfu9mN20nl0reBkza/yxSf8CPrJNQs+FcS/rpI6\nTdaykWTQVktgGqUmKjK4QyP+tddsxG9qs8rZNWMRqcr/dG/b93ojG+W2tEJtjwQimwv+KXtuzYJH\npaJ/2k6or5blwkfhsVqkxKxWgRUocAVq4gltxlI1FlGd1xG9ZHni0YTy1Wrp3CMBz6YuJ6EBYG/D\ncu3r17wIZIFcgEoaxOoP7L3bVPG4p9LT633yIdTKs/SCyaDXyVEmyFDbEoFdbZBpUx3FgGodSqlK\nkKd2DBINjM1R8K5YoZoKrXBrsbde1Z+/Kgtran6+QO27A1K5efnb3ia7R8HXD5zxTHShZsHgEbUz\nt7TpaJsqHl9v+aB0i6ol50mh5+yar4VYnLPtqOlmTogl8HETVQByFPjd1ZbswConb+9kvisOM8e/\nBuAjIlITX0XxMQDfAfBVAD+t34lOOhERpwj3vPGdcy/AB/H+Az6VV4AfwX8TwK+JyKvwKb3PP8Dt\njIiIOEIc1knnswA++3/efh3AD93PyvJSEb1Lnqq98JCnQl/oGD362OAvAQAPrZuYY7ZhFHLS1V5q\nCoY19PXaRaPyS2uX91+X1Ayz1jCKmJZ9ee6k//799wbbphW/tO1nLe2xBX1EnXbSCuVYQ06/QI0w\nlM9ua+6a+7STiaf9CQUoR3QanOr/t8tGNWXsqWg2oIDSkBSH+p4SJ2y9rSW9RaKaCw3qVT+vNtlk\nwJio8k2jYVRdSPi0peW/17fM7rk19uuuL1vJc0YEtbXjt71D04e+0vqMhDxzeh2mehMKytU0J9+g\n8zhJKUeu+e6MymI7qgVQpalWNUylqB4jJ2q9oMtfIVq+uOrNN+fKFvBLy7YdKyN/LJf37LgUrvuy\n5xbVdZTnydVI961IQc80Vb2JotH/Ates6By3nFpQeqxNY041Eg4X2ouVexERM4mpNuk0WzU885Uf\nBAB87mv/CgD4s0csgPNvBT/Sf6JkT/LLlffZ7+e8/5qQXtpY02vlor1XotSSKCPIYOsJKQ+pk9Ya\nSIYa6tFHAbSJRsmGlJLpq5oLi+b1qHkm0+fqiNKCTkd6bkApkZZeedOPysOCpd7+x3nmIH17+lfG\n5K2nT30O5I20QrBPzKJMvnONRX+M2JK8qKNmuUGS5uRaBHU1OjdPPnha0Uj2gOiQ9HRFA5f11NY9\nKfvRv0EbXBtR5aVqynWIrazq9tbIzrw7tnOa6THuw5hSooFWdqvJVQGqQf6MY5JZb656tsOuOaL+\ngHwNBXlyACiqtXlZ7BpaUQehBp37CakMTTRwnJF9eyjG5KYidsbJtBpTqBRxQfUYc2UJxeLhxvI4\n4kdEzCDijR8RMYOQwxb1H8nKRDYAdAFs3uu7pwgriPtzUvFe2hfgcPvzqHNu9R7fme6NDwAi8g3n\n3IenutIHiLg/JxfvpX0BjnZ/ItWPiJhBxBs/ImIGcRw3/h8fwzofJOL+nFy8l/YFOML9mfocPyIi\n4vgRqX5ExAxiqje+iHxcRK6KyKsi8plprvvdQkQuiMhXReQ7IvLfIvIpfX9JRL4iIq/o/4v3WtZJ\ngogUReQ/ReQ5/fuSiLyg5+ivRaR0r2WcFIjIgoh8UUReFpGXROSp03x+ROTTeq29KCJ/JSKVozo/\nU7vxRaQI4A8B/CSAKwB+VkSuTGv9R4AxgF93zl0B8BEAv6zb/xkAzzvnLgN4Xv8+TfgUgJfo79Os\npfg5AP/gnHsCwPfD79epPD8PXOvSOTeVfwCeAvCP9PezAJ6d1vofwP78PYAfB3AVwFl97yyAq8e9\nbfexD+fhb4anATwHQOALRJK7nbOT/A9AE8Ab0LgVvX8qzw+8lN11AEvwPTXPAfiJozo/06T6YUcC\nDqXTdxIhIhcBPAngBQBnnHNByucmgDMH/Owk4g8A/Aaw38mzjHegpXhCcAnABoA/1anLn4hIHaf0\n/DjnbgAIWpfrAPbwDrUu74YY3LtPiEgDwN8C+FXnXIs/c/4xfCrSJCLyCQC3nXPfPO5tOSIkAD4E\n4I+cc0/Cl4bfQetP2fl5V1qX98I0b/wbAC7Q3wfq9J1UiEgKf9P/hXPuS/r2LRE5q5+fBXD7oN+f\nMHwUwE+JyJvwxihPw8+RFyTYw56uc/QWgLecV4wCvGrUh3B6z8++1qVzbgTgDq1L/c47Pj/TvPH/\nHcBljUqW4AMVX57i+t8VVG/w8wBecs79Hn30ZXjNQeAUaQ865551zp13zl2EPxf/4pz7OZxSLUXn\n3E0A10UkaGAHbchTeX7woLUupxyweAbAdwG8BuC3jjuAcp/b/iPwNPFbAP5L/z0DPy9+HsArAP4Z\nwNJxb+s72LcfBfCcvn4MwNcBvArgbwCUj3v77mM/fgDAN/Qc/R2AxdN8fgD8NoCXAbwI4M8BlI/q\n/MTKvYiIGUQM7kVEzCDijR8RMYOIN35ExAwi3vgRETOIeONHRMwg4o0fETGDiDd+RMQMIt74EREz\niP8FtgJqh7poeK4AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dad2b64a8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 2310... Discriminator Loss: 1.4793... Generator Loss: 0.7750\n",
"Epoch 1/1-Step 2320... Discriminator Loss: 1.4188... Generator Loss: 0.7339\n",
"Epoch 1/1-Step 2330... Discriminator Loss: 1.5441... Generator Loss: 0.6852\n",
"Epoch 1/1-Step 2340... Discriminator Loss: 1.7626... Generator Loss: 0.8259\n",
"Epoch 1/1-Step 2350... Discriminator Loss: 1.4334... Generator Loss: 1.2131\n",
"Epoch 1/1-Step 2360... Discriminator Loss: 1.4948... Generator Loss: 0.8043\n",
"Epoch 1/1-Step 2370... Discriminator Loss: 1.3628... Generator Loss: 0.9632\n",
"Epoch 1/1-Step 2380... Discriminator Loss: 1.3724... Generator Loss: 0.7632\n",
"Epoch 1/1-Step 2390... Discriminator Loss: 1.4073... Generator Loss: 1.0515\n",
"Epoch 1/1-Step 2400... Discriminator Loss: 1.6425... Generator Loss: 1.0943\n"
]
},
{
"data": {
"image/png": 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vBxnf/0qm45/JjbxxQ/dTQQJOJM6PDpV4vCM5CiXIJEzKTEZGcL9nMJpbm3yN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\n1BclqlvZ8TEjOq7lVqsKEgIpZyvZc6igEwABV0h4n4USeg/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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dad247f28>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 2410... Discriminator Loss: 1.2448... Generator Loss: 0.8053\n",
"Epoch 1/1-Step 2420... Discriminator Loss: 1.5791... Generator Loss: 0.8825\n",
"Epoch 1/1-Step 2430... Discriminator Loss: 1.4721... Generator Loss: 0.7852\n",
"Epoch 1/1-Step 2440... Discriminator Loss: 1.1960... Generator Loss: 0.6903\n",
"Epoch 1/1-Step 2450... Discriminator Loss: 1.6489... Generator Loss: 0.7352\n",
"Epoch 1/1-Step 2460... Discriminator Loss: 1.6383... Generator Loss: 0.5401\n",
"Epoch 1/1-Step 2470... Discriminator Loss: 1.7272... Generator Loss: 0.7256\n",
"Epoch 1/1-Step 2480... Discriminator Loss: 1.5266... Generator Loss: 0.6885\n",
"Epoch 1/1-Step 2490... Discriminator Loss: 1.3964... Generator Loss: 0.8389\n",
"Epoch 1/1-Step 2500... Discriminator Loss: 1.6126... Generator Loss: 1.0305\n"
]
},
{
"data": {
"image/png": 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dOR6rtzaVvN7oa98fk5iKqK37DCUZqz9ELQYIZjDf9ZeInEp7LMvA4wH990nu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\no22XeQ70fXb+lTW3YrBtdf2co5ALfkZE0Bkrl8D0sjnazrVsXH9RST0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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dacd24908>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 2510... Discriminator Loss: 1.4988... Generator Loss: 0.8729\n",
"Epoch 1/1-Step 2520... Discriminator Loss: 1.7505... Generator Loss: 0.9465\n",
"Epoch 1/1-Step 2530... Discriminator Loss: 1.6174... Generator Loss: 0.5799\n",
"Epoch 1/1-Step 2540... Discriminator Loss: 1.5262... Generator Loss: 0.7723\n",
"Epoch 1/1-Step 2550... Discriminator Loss: 1.3262... Generator Loss: 0.9153\n",
"Epoch 1/1-Step 2560... Discriminator Loss: 1.5274... Generator Loss: 0.6387\n",
"Epoch 1/1-Step 2570... Discriminator Loss: 1.6057... Generator Loss: 0.7459\n",
"Epoch 1/1-Step 2580... Discriminator Loss: 1.3637... Generator Loss: 0.9186\n",
"Epoch 1/1-Step 2590... Discriminator Loss: 1.9831... Generator Loss: 0.5967\n",
"Epoch 1/1-Step 2600... Discriminator Loss: 1.4500... Generator Loss: 0.7985\n"
]
},
{
"data": {
"image/png": 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F/uj/RlmWfxurH6OLjrxbNx1v3rz94bLTsPpGRP6yiHy5LMv/gT7y3XS8efuQ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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dad4d0c88>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 2610... Discriminator Loss: 1.6789... Generator Loss: 0.6164\n",
"Epoch 1/1-Step 2620... Discriminator Loss: 1.6104... Generator Loss: 0.7157\n",
"Epoch 1/1-Step 2630... Discriminator Loss: 1.6175... Generator Loss: 0.6879\n",
"Epoch 1/1-Step 2640... Discriminator Loss: 1.4824... Generator Loss: 0.7394\n",
"Epoch 1/1-Step 2650... Discriminator Loss: 1.5183... Generator Loss: 0.7989\n",
"Epoch 1/1-Step 2660... Discriminator Loss: 1.4074... Generator Loss: 0.8263\n",
"Epoch 1/1-Step 2670... Discriminator Loss: 1.7016... Generator Loss: 1.0771\n",
"Epoch 1/1-Step 2680... Discriminator Loss: 1.3518... Generator Loss: 0.9976\n",
"Epoch 1/1-Step 2690... Discriminator Loss: 1.7289... Generator Loss: 0.8812\n",
"Epoch 1/1-Step 2700... Discriminator Loss: 1.4264... Generator Loss: 0.7199\n"
]
},
{
"data": {
"image/png": 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ijHUpAqrmOlaQ3EWVQNUyh6akDp5C++oIpKdjmUokPc1VcAAyGWhBUz7QDDV3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\nRC4GvgZcr6ofIFzPzwHfA36oqpcDs8CX13fIhISErcZ6qX4BqIhIAag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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dacee7e10>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 2710... Discriminator Loss: 1.9444... Generator Loss: 0.5275\n",
"Epoch 1/1-Step 2720... Discriminator Loss: 1.5196... Generator Loss: 0.5546\n",
"Epoch 1/1-Step 2730... Discriminator Loss: 1.5974... Generator Loss: 0.6296\n",
"Epoch 1/1-Step 2740... Discriminator Loss: 1.3963... Generator Loss: 0.8431\n",
"Epoch 1/1-Step 2750... Discriminator Loss: 1.4813... Generator Loss: 0.7904\n",
"Epoch 1/1-Step 2760... Discriminator Loss: 1.6590... Generator Loss: 0.5457\n",
"Epoch 1/1-Step 2770... Discriminator Loss: 1.4524... Generator Loss: 0.8106\n",
"Epoch 1/1-Step 2780... Discriminator Loss: 1.8156... Generator Loss: 0.7884\n",
"Epoch 1/1-Step 2790... Discriminator Loss: 1.4598... Generator Loss: 0.8142\n",
"Epoch 1/1-Step 2800... Discriminator Loss: 1.4186... Generator Loss: 0.6926\n"
]
},
{
"data": {
"image/png": 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2AbXTQP2fIKJ/m4i+ZYx5Wdb95/Q9dNOx1irsEvIkBNLN9ZqzAPVnEBN2se0Y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\nILEOHW5cPBZVe3o9ha+tFn+w0NW4eO5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E+39/5feqdWWk17NUk+KvUu/zrSNGEfePIdQo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\npG0p4ko9zQq0WNyUXF0VRjkjTExj3dvk7ZckEtKhVkQ0aUqhlPoJOBI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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dacad0940>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 2810... Discriminator Loss: 1.7492... Generator Loss: 0.5969\n",
"Epoch 1/1-Step 2820... Discriminator Loss: 1.3586... Generator Loss: 0.6138\n",
"Epoch 1/1-Step 2830... Discriminator Loss: 1.4274... Generator Loss: 0.8394\n",
"Epoch 1/1-Step 2840... Discriminator Loss: 1.4150... Generator Loss: 1.0987\n",
"Epoch 1/1-Step 2850... Discriminator Loss: 1.3768... Generator Loss: 0.9213\n",
"Epoch 1/1-Step 2860... Discriminator Loss: 1.5966... Generator Loss: 0.9126\n",
"Epoch 1/1-Step 2870... Discriminator Loss: 1.4296... Generator Loss: 0.7678\n",
"Epoch 1/1-Step 2880... Discriminator Loss: 1.3032... Generator Loss: 0.7903\n",
"Epoch 1/1-Step 2890... Discriminator Loss: 1.7742... Generator Loss: 0.7110\n",
"Epoch 1/1-Step 2900... Discriminator Loss: 1.6297... Generator Loss: 0.7091\n"
]
},
{
"data": {
"image/png": 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iPO8MBFPIdKzjOjzkcRn3lXmMHSFYgrwCbNKZuCmSQvCB6EOMD7VGP64ioShQ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\n+nuDX/E9PPoQXV3xsymHY3l+Eg6O84o/nFLjUVVWh8C4TZZXddV9UYw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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dacd589b0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 2910... Discriminator Loss: 1.7591... Generator Loss: 0.9087\n",
"Epoch 1/1-Step 2920... Discriminator Loss: 1.5827... Generator Loss: 0.6977\n",
"Epoch 1/1-Step 2930... Discriminator Loss: 1.4514... Generator Loss: 0.8571\n",
"Epoch 1/1-Step 2940... Discriminator Loss: 1.4127... Generator Loss: 0.7843\n",
"Epoch 1/1-Step 2950... Discriminator Loss: 1.6538... Generator Loss: 0.5601\n",
"Epoch 1/1-Step 2960... Discriminator Loss: 1.4198... Generator Loss: 0.7983\n",
"Epoch 1/1-Step 2970... Discriminator Loss: 1.2191... Generator Loss: 0.6956\n",
"Epoch 1/1-Step 2980... Discriminator Loss: 1.3358... Generator Loss: 0.7731\n",
"Epoch 1/1-Step 2990... Discriminator Loss: 1.5513... Generator Loss: 0.8735\n",
"Epoch 1/1-Step 3000... Discriminator Loss: 1.3683... Generator Loss: 0.9643\n"
]
},
{
"data": {
"image/png": 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z/g6kHdB9UeXpuOOdk9x7T2t8aaX1CSL6HJ2zmw421CiBhrg3b96+e3buH74x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\nGEPEBz8iYgzx/5heqwN2OBq3AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dac836390>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 3010... Discriminator Loss: 1.7157... Generator Loss: 0.8457\n",
"Epoch 1/1-Step 3020... Discriminator Loss: 1.5131... Generator Loss: 0.9042\n",
"Epoch 1/1-Step 3030... Discriminator Loss: 1.6572... Generator Loss: 0.7466\n",
"Epoch 1/1-Step 3040... Discriminator Loss: 1.4736... Generator Loss: 0.9716\n",
"Epoch 1/1-Step 3050... Discriminator Loss: 1.4429... Generator Loss: 0.7000\n",
"Epoch 1/1-Step 3060... Discriminator Loss: 1.5794... Generator Loss: 0.6830\n",
"Epoch 1/1-Step 3070... Discriminator Loss: 1.2576... Generator Loss: 0.8349\n",
"Epoch 1/1-Step 3080... Discriminator Loss: 1.5124... Generator Loss: 0.9520\n",
"Epoch 1/1-Step 3090... Discriminator Loss: 1.2616... Generator Loss: 0.7677\n",
"Epoch 1/1-Step 3100... Discriminator Loss: 1.4092... Generator Loss: 0.8760\n"
]
},
{
"data": {
"image/png": 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PNmGud69IwdkxX1d0RnLvQ63xpZXWZ4noi3TGbjrYUIMw8cObN29/bnbmH74x\npklE/xsR/TvW2iGSRu/XTQcbapg4sIV4AEesYYjjyZS9VALe+e6RevKtNr9lb64qU5cJKff2E31L\nHg7V637qNpeyGqvHmY1Ymy4v1LN14W2dp6IAA57AZRzWQA48kMwxO9HxpqB40xuyxzqE3mx7A/7s\nBIirCujE9XqMDmL4eypeOZ+oLuD4gUqIN+d87elE5+DeY5bSHmRKhKagUXdfdAXbHfVCLdHhm46U\n2BqN1VvurHIIrF7VY/aGjBxqdb3G9Q70nVv249O5jANGBJM5KOPMlPx7JAjpPij5RBLmnIV6nmyo\n12OlecaK0Xl7JKgogvBwICTj8ASk06GBRS6IrXeoc72Y8b5+X+sw0ol66kTCfNe3oMlGKpmRoGaE\nCj15zhMz7ukxY5lXA2HDJIDQqSAlbLIRx/zczgr+W/hxluUaY2LiH/3ft9b+huzely469EHddLx5\n8/bdZWdh9Q0R/R0ies1a+9/An3w3HW/ePqF2Fqj/o0T0rxDR140xX5V9/wF9O910rKXSkRkCWyyU\nvvaPGTTEhdJ3jZGSG3/yJsdT7wO50ZBMq4yUUEpzIHgkXt2FUt/LW7eI6HTMN6zgSkVaeacaN++f\nMITP6gDRJR/AThQOzwAO9gYMWQ+nepw9KUDKAPomyHu5f4GkyUQufAwZgG4ZQUQ0l/PvP9IinC+/\nxUuBWkfVjIpEIeK9YyHlZjoHK1Ke2m3o5xotyKmQf2NYnpEUMvXhPmWlkpk1ybkI4XprEu8eT3L4\njo7jRLIth1O9xnadn4nRXJdVWLCTyTKm0dSxNWNR/4El25NDXuZlkEOQLXTp6K6tUdPr/r7vYcHL\nz33vp5b7WpBDsCYty9d2tA9eVTJFS4jjjw8VFPcP+TkZ9vR6XNFYZHRpsrWhy4eG3B9jdGxFyPsq\ndZeXcTaofxZW//8homexcr6bjjdvn0DzKbvevF1AO9+UXUNkpQBmqbIJqZrpCRckDADqVxPdfiip\nuHsnWrhwY4Ph1UsvaBPDCaQ8dkXzfueyts7urjN8KqGoIgdI5pjdfKHT45pPjidQQCTqMgGkck4B\nQk6k3nxcIHvtlgUg9Ik125LSHEEarxtHmUDecUOvx2nOPxjoNTwS6L1SAeFLWM4EoqLTXVEGviNQ\ncgP6ElRAaYYkX6Es9XqbkgY8hXvSm+lyqBBxyxZo17taIUxvDkPUw+elQgldYVw79Vmo85sAhE/l\nvhwPdLy9uZXxAAAgAElEQVTrsoYKGqBcJM/dSV+XI1EIXXHWGKJHBFGKdZmXravLfdW2LqHKhTD4\noC8QyHhDiBi0Ai0qKguOhI8fvrPct3A6Baj5AB2iki7fKwP9CNLUFSfJ8+J19b158/YsO1+PnxCR\nEz45kLfjEGLlUpq5gMywBUgNFxXenwEheDjifRsn6r0TiIsf3uXY9lsnGI9mD2AiPU8A8s+hEDuV\ntpJckbzB5wsg1YSoDCFzDzu0pPL2HUJxjStMweKYCpQZ1ytOO01vTSqx2flMMwknsW5nhpHQzKqn\nqNYZHYyg2Gc61bG1a/z3tbqiiLoUTlUh3h9h5ljm1HYURVTqPJf7Fvq5AeqJ2yLZXYeiGPHUWa5E\n3HBPPbDLFmyBJHqjxvciV6BDUU/HURzx2KbgyQdy+LSpXjfuODUdvWe9McT0RW+xBYUwJw9Z465/\nV7XuQiinLaToqAakWyJz2b2k7dnXbmhXnHqdx4QFQgt5JlC6u9rU+xMtS9BBTcohk6Uake+d582b\nt2eY/+F783YB7XyhfscQ/WU55W/Kvj0UzpT4OQgdjsYKrUdSZHJz57nlvtAy4fFP/uyry30dEBz8\nwUscsw8gDfjwntRXQ2qkq90mIipEXLGzplBzdYfzAKot3ee6OM9zhbaDVMf+QJo13usr1B+JaGQG\nRBASMoEQZxiOdWrWFUiVjes6jpkQaNgY9OolhpJPRkrEvftEpZpnU4aIDx9qWmxL8hJWK0A2gr52\nTZYhVViaBPX3duxZW1VFm03ZrgbvFcYsKjrnj0eaInvXxdqBFO22RHD0e3X5Zb8McyiqQQWoA81k\n+TYYam4FibDmSke7EhUA29+8y/kPCUHRkORjDA6VNF6ASlFDUpAvd5WI69Yk7RuIurVdhf1hh6+j\nKJREnEm+R+WqkohhTa/XkX4BtJaPpH178CHrYLzH9+btAtq5enyThRQ9ZLLCtqWHWaCewojoWwU8\nIBJ1swl7y/VVDaXc2GHC5E++oh59raJvxB/+4R8hIqKtrnqp+Zi9y3Ssb3AQp6H5gj1EYfVtbCV0\nhxWGuYxzAFJrj8fqce4PeLwj8A5hxARNGCDa0Lf6Yswe2IA3JAmFBRBiimowDtdbGzIaCyl3Xt0A\nXbqKep8TKULZaANKkP6DKzV9LOIAyofllAmE5o5FEy6K9DurK+rxm9Ikolwgecf/9uZKsAV1JeCa\nUow1HGkhksvSuzTUe5839Zw9IcmqoEXYcuExIBtHUvbc6uoNrwDBefCQs+uO9jXLbkcItu6KNicB\nQSGaSzZmWdd7ti3h5Z1Xvn+5L14FxSAhFB8eKdI5GPDYu5eVKG0sdF5CQXwR/CYyyS6dSVGXtZ7c\n8+bN2zPM//C9ebuAdr5QvxdT7Te4lfA4l9pxq/CHQobYBmLqqDZSlVh6DnHxoODvvHRZyZoGQP08\nZEi9gH56RrLZIijsySAbzYknRiAaWQqsn0Fc22WBTecKwUvo7tIVKejtFYWSwvdRH1pRI9w+enyX\niLS4hQfC4xiDws5oAPoCYybDsKV4nvP14hJmp6tQdKPBsLXV0rGtSheZBj4VoFlQCIkZAqyvGV66\nrBeaV1CB7jBDqe23C53/ubQhn810XwdO+twVzsZ8cqB/XxEYPfonOt67mc5BZnkJkMdK5AWygooi\nve6FZIqOQYK9Bt2PGlI/v6hALoO09Y7ruq8KRTzNjpCeIPc9j2SZ19flSrpQvYSh020ArYBQlpaP\nH2s2XzXUca6P+bcSxzqOSZ+PORTFpQKFUN/HvMf35u0Cmv/he/N2Ae1coX5SMXT5Ocae86nAcYTT\nOUPeHKDzBBjZQljpL959e7nvq4/vEBFRG1oYX1rX2vuvffExERE9OdF49VjaDS9A734CNfNzafqY\nQXzecaVImpZSLFFCCisW3zjmF5lWp6HfhkKYY6hfz6R7T2Ghvl2kn+4+uLvc9/rdd5fbb0jseQDi\nlLEsi+IIUmlhXl0sPj5QKJpL3DyF616AIOZMWPjBFGLPIqV2qjknXG/h+h3gHDgtBmCnDcyb69iz\nsapLIJfG+vkf1ByOvWNNoTXC6vcnGks/HjBj/v++c7TcF4USNaH7y31zSN9NZSmAXZZcI84s1+el\nLN97zzEN2zpZNvgUaui7bew34ARYA0jXNvAdt/SsQfvwXdGZuCqyX0eQ9/J+5j2+N28X0M7V4+d5\nTodPHBHFniAB8cpSetBZ8DjYC6wqZFkCmWWBdQUfWCgDHViEjFsAMeYKNOoQ105izYRbSGnsDDxk\nlr/XG2aSpYcowILncmRYCYSLaxc9Gel4egkwcPL1cqHnLoRg640VlTyGTMQ7j4/kWnVsNcn4akC2\nXwjlnBsdJqK6QFK5YZTFe5EOEVEq2YYngCwOJattAh4SC5VmoqJzqvuOqNzMQLp7AduR/L0/0Gts\nyuAeHum+B3saa28K4jsC2exUcgdicG9B/N5zTwHBuPblqM7ksuKqIe57b5clRHaFoEkUpU1AJNMs\nJcZ1ruaiPGThOzhvpejZViHHIyucmhFfa3EKfT7bzqK5VzXG/LEx5mvSSec/k/03jDFfNMa8bYz5\nNWOgO6M3b96+q+0sUH9BRH/BWvsZInqFiH7aGPPDRPRfE9F/a629TUQ9IvqF79wwvXnz9nHaWTT3\nLBE59imW/ywR/QUi+pdk/68S0X9KRH/r/Y5VlpbSJVnnYJESJhWJT65va1rmlStXltuBFHrk0Iq6\nnUh7YKhRxqXCmiigfN+NazoO41p0Q4waYtOulfUhaOQ/fsIQ8hjg51j03xegwJMCGbZsCQ4o1/UR\nwJr1IQhVpvIuXoz0PDNpkHkMhTB7hwpph9JHoCRYMshmAEUrVzY0lfbqNhe2b3YVfq42GULGkJZc\nAoR3RFMBkPZwxFD+3oGSiIdjJSt7Ml9DaIM9mfG157l+J4VFRZTwsmsBy7e+9CZYIV0anuaxRCsA\n+hGsN/nanruhxTH7omN/AHr2G0AMVyVfAGPlrRU+56WuxukbLR2H0znogzrTRJZAC4DqqCPhnhh8\nXgZyQQPoC+GIaCIiknbqSUNzX3JJ1JjIMq/8OFN2jTGhKOweENHvEtE7RNS3dtkT6CFxW62nffcL\nxpgvGWO+ZMuzrT+8efP2nbUzkXvW2oKIXjHGdIkLal886wmwk04YxbYQMsOKGwyADOtucBeuF2+r\nd76xq6G5YuG02JSI60qWXgh9yQiy8F68xWW5z1/TY1pi73PwRMNBEyinnQrxdthXEuVBg9+s7x4q\nlXFf1KxPBvpWHoyBlBOSpoT3q7vaElAJ9qrb6zFRNznQEtrBmL3mvQPN/Or1lRx0yYIGW1XLiSpA\njr4IuoO3t9lrtKHYx2Xu1WtACEKIyoWgDHiViYQ+r7X13HsDnaPHh/ydRz0d794R38d0rGNbgGS3\nU69ZnMr24zlqNDVDEFtCJ1JKfQmel/Uqj327rY95Wx75ly7pXFxe07Dh5jZnBlYhe7S9wnPVrauX\nD4H8m4mnn4Ha0XzK48W+ifv7gNLkeZst1Bkejvm5fOuBfu5ujiFn/s1MAA2Wc/5+0uHfRHlG5/qh\nwnnW2j4R/T4R/QgRdY0xbkZ3iejRM7/ozZu37yo7C6u/IZ6ejDE1IvopInqN+AXwL8rHfCcdb94+\nQXYWqL9DRL9qjAmJXxS/bq39bWPMq0T0D40x/wURfYW4zdYHmCUrQppWYspBpLB94zIXjmzvKIlS\nCZUUioWHck0XiYjqAsmqkAF4eUPrpq9f5e1uB6KNgsiqVsmu4VDh00Dq3uNSIW9SSDtiaIIYGoZh\nMXBqGMtNZVmTQuGOfUo2HwE6++adt4iIqBgqrB9PZWkCsf8x1LIbaRiZgUhpKsRla02LWnbX9Xp3\nVvh6KhEoyUjMv1lTsutUzoSD/cBW1mRaq0b3NUFKoB3zdbZg+utCrqLg5QA6A2UZX28JCjxWMgMz\nwvi5jjOUOP/KKgh0EpOzYabz9v3Xealw5ZoSyBuXdHngyL0IYukO2Ebw3Fm4p6XkfeRA3rnl3RyK\nuibbkFUooqC4NDwQefQ6LK8WqUL9OwsmdydjJSYzcd3rUsx2Rm7vTKz+nxG3xv7W/e8S0Q+e7TTe\nvHn7bjKfsuvN2wW08xXbJKMdP6SIJKkqU1qXjicppKsOpgqVWlIjHQLjaiVOHVUUb7ehljoUaaLp\nE0jllE45BUIzSJ0kSbfEmHC+cHFiSC0VBjUBNr0FzO9gzMeZWoWxLqSJoc0cIO3jh1w0U8yVDZ4I\nczuCuVhAFKKQYpfpDKTCBIp2O8qC15EFlw45NRCDdBJglQRTmQHqu+uElN5QzmNAFNICE00Svchm\nkKvQ4H3DthYqvWn0/kykOWhR6HHqMs7ZQO+JzfX+jUe8/yuv7i33bVf4PJ9/AaXapJ9AB3oZlLoU\nCCQHwXXCISKyFMu/+lydLrySpQDkUVjnU+EaIqzxdxEU0MgMBNYv2rqEedDROXqwxxB/MsfIEc9/\nmspzdUao7z2+N28X0M5XgccQheI1InmD1xpA5EmpKHpDC29RF/rOCIp4pMhntaOx2Biy8ErJ/sLu\nI67kcg4EGZbounraGGK1mRR1zEcaW84X7y0qCiEDzV1PADHq0h0T0/kIPddQjgnElyCHdPH077jY\nLZbduk48WyuqTFRPgBgT1xBD375Khb1QAlLjEeQBGEc6gTckId3yQOegAmKc7Sp7r1UoFprEfJyV\nROcXC2Cc/z0tHMnf6Y2hzBhKgdOUv9UfaHbjjeeZ2H3lezXtpN2Wwipot51l4P9yl2cC3l08vonV\nExtsbS5zjfkaJPOKRTNY6uuekzqQp2vCimbQ8ehKU5HU1yWbcAjncc9WrdKQ/z+bL/ce35u3C2j+\nh+/N2wW0cyb3iBxarEgtfBUIDysFDfM51K+HiqkWApuqEOd0hFUHap1jwGG51PgbgP9h6OCVwvss\nw3pxPj4KfbrYdgKwveJaO4NaTgnwM5QCiihSiJgLMVaAiCXCdpfngMUWpYvPQ+w4BgHJuaQy4xKp\nmvB8bK9oQccKwMa6pLNWqzq2ihCTCcTxMWV3yRzBMsVIA8wog6alsY6tUeUxrcBcTps8762ekp4r\n0BloKsTlOH/vHDmhTqLTZGYhhUwGloafef57iIho+5J2prETzpNYQJo09kowMoc5aBcUkg4eVzB9\nGVRy5Lm08GxoKrqO10LChlMcqsDz3xK9iaINhVVtnZeOEOHHoc6bW4o1pDdAgOqq72Pe43vzdgHt\nfMk9Igol/JAIsVOv6RuqSNlzjYFoK7BcU9LEqnUlRBrSJy8hyKiDbbeZA8nikrJQZQXJv8yV2YJn\nc+Ev7LFnFk79BzPzgMBxzXewzLWUwp1Trc4AJci8RCV0s5GSywTCj5hBmEqhDJJhqyucjbYK5aOo\nxtNqCLkKSKlSdeSeevwgROKL56UE707icUJQpImAMCxjHie2ye40ebxN4AhXoTBokvI4FpmGNEme\nGyRKMyhtnk6ZrLu0ouGvl6VAyxbqIReCEgrUcoT5N8Zp5QEha93nFCUkgNKWhBreU5fJCIipzAHF\nuWcG5tdlCzaA9LwKrdpXReb7YYQt1nleG9JN6RRCex/zHt+btwto/ofvzdsFtHOO4xtKJBaZCCkX\nAGE1k6ypFOrpLUCXNamGaYE6SkPIjDDFTjhAsgiRhyFhJ4RIAP8DgwQb7y9ShbRdyUzb3dB35YnU\nUmenJKj1mE6qGYtNHEFnn0bekWbKzSEmn+ZuSYHZehjDlnGCXHWzxnkNVWgZHmGOgcDxKmROJtIB\nJwJy7hTUd6KSMFduDlFysYSOPgsnVT7Xc8cC1+vQbrsJ27VYhCr1LMs5TIySXQW0GnfZnpVQC24c\nLzwAUU4r9yqAZRMZXKrx30PIeVgqD6Vwb4GcdWo9SLgaeK6Xn0PyT+bfAhmXyVyimtRKQ6F+U+4F\n5oo47YJSMgR900xv3rw90/wP35u3C2jnC/UDoqpAqLrouccIG3Mnx6UwCWPpbYlD16oKKyvCskcA\nmQJEOwLtUO8+mzOjuwB2Ooe0W4eoh5DFO1vwO/IYiObRjD+YBMpYR0aPGbiQAsiCuTgr6q2fivW6\nWnXYV7jCHlgxoPa9dvKBa5Trnk1g2dQBtt462AidWiQvQfMcTkN9B/FLWD5YWZYtIM10eKQseq/P\nKchjkKAqpA4/AlhahfBzW+5vfCqHgK+xA0VQp+ZN5qhZV1a/lNTuFBpTxpIiGxpIVca+BrJswmVE\nnvGxSxwPSGYVgvANXETFCXhC+rKFVGe3UlhAcVgmz1MxhsIeWJJ0ZJz4m3HCqIXkPFjyUN+bN2/P\nsHP1+IExy6IE928CMcm6I++gzfJmF4pvxBMdgRz1RFoPt6Bdyjb0pVtt8Hb1lJIM/5sDITiHLjRH\nsv3aQy34eOs+i18+gvLeiZTqxlDa2oAMtFLIntEYM/v4X3T42Ddunjo0AnH6/HTpJdHpDiuuBDcA\nL+YKQu7vHS737dY0i29DxDYjKMENHOH6lB5wRESFI+og6y3LeF8FSKjN21oK3J5xkdDRI+3R9/jh\nA75uOE8HcgwKuc93DwHFyU27tKbk3Z8BtHN5BLcv3V7ui2Q+RnM9zoF04jkYaCluBZ5BV0y0BjJC\nDfG0Vcg5QcHR6VzKryHjdDHk7d5M9/XhOXBinJi5ui5KPm0g97CI6vlNntc3DkGWXIZknZrRx03u\nicT2V4wxvy3/7zvpePP2CbUPA/V/kVhk05nvpOPN2yfUzgT1jTG7RPTPE9F/SUT/rmFm6kN30gmD\ngBoCZzqSMppAA8CuCB02QL3SQox7KrBpsdD31ROJdw+hww2SQjc3GNI+f1lVWLqSHjqD5o97QyWf\n3jhkiP/mI4X6A1lerIB+QKvOsPwEup0UkINghGjBNEoH680pMcflJo1d+i1AeUc82lKvG1WKXIy7\n0VIxzVvXuQY9gJyGtx7qMmVjk+eltaqwnCzDxRLSWXMgQCcnovkPSkCF5eOXBhQ2QS+BBG5XQReg\nMmCoao5UULQOhGEsz0QH0nhzyXHeaemSIoLztGu8pHv59s3lvkzuxZ09bZP9usT07wFcPhlCtxpZ\ni3Xh3DfW+Z5/elfnd7urSzqXsjuEpeO9E15KPDqBYwORenWHlyzXNreW+2IhrzPoRFSAwOqajOk2\ntA/fE50IU7pcjo9XV/+/I6J/n1QPdo2+jU462G/emzdvf372gR7fGPOXiejAWvtlY8znP+wJsJNO\np92wXSkaUTUYfUMthCybQRwtgxbGTnfNQJaXXcpqK6G3d6ieZDLkdje9I33DX5GwVrup37kPfene\necCEWH+mrtiF8bZW9G1ryqmMW4+NscSFxAVPtTq2rrX200mYXEi5Asg9F7mz8J7GttLL0FOg3vCJ\n9JorobtLL4ZzfvVdIiJq1tUL7VxlLxRCWfNiCn3wxEPff6TX+6a06P7mI82Ow9BoR8qvr27qvK1V\n+Toa0KK7XdfrGQriqGBnICH3OrE+LzB0ioTENaH+/f4DJhHvPVE56kUh5N22SrBHbR3vpM+S3Nii\n+93H/P0U+v/dWlePvyrPxB5IZR+NRWvQKFE9tkAwT/m5PX5dNQI3G9I7Ep4hFeTWwqK6AS3CgLcj\nK78NOpudBer/KBH9FWPMP0dEVSJqE9HfJOmkI17fd9Lx5u0TZB8I9a21v2yt3bXWXieinyOif2yt\n/ZfJd9Lx5u0Tax8ljv/X6UN20gkDs1SBcR1a5iggKVlMIcDgWh3INGml86inMOzJgKHm+pY2xSwi\nPWZrg8mr3W2FmqsxQ7IWxNztvrbEzkV8sdlR4uXxkOPQI4hhJwUfJwP9gHodClwS3u4BbCwc7H9G\nuNUJZ55eCTCAi1C0EwuMgvd2ejk65HmJ1zR2/+LLn1puL4rHRET0zkOFmu02j7fV0ey4ErUR3JIi\n0SVSssr3sTxWojRMFN5morFw0FNicW2L7+nGup7HQo5CMuY5XoHY/rzge2JKXZJdXcGOS5IDUkPR\nTx7HdFWJxd6DvVPHIyKCVRPFbZ6vSyuaL3ClzeO4XNfv3FjVZVVLBF/n97XRaSDL0nFNz333nTvL\n7cMp3592ocuDE9EuuN7W+7hxRUnprTW+P9dmEDkfSt6H0344I9b/UD98a+0fENEfyLbvpOPN2yfU\nfMquN28X0M41ZTcMAuqIkKORYpUyVVgeC2RtAgRfaSqvuSIFGhvrCrdPJgw/rzz/vct97775leX2\nc5cYuj13XSHveiICkRDj3jtWqO/Y/GTr+nJfEEoxUKxjOzpgZjyD0CnC3ER06isVhbSFRAKQfkUt\n9EzmA1NCrdTZJ1CIlECacCkikCttjcmvyjy/sLW73PcTP6RzNB8xXA+nCvVdd54mFKhEICq5ss6w\n0wDkrUhhyTqcpwICn82IlwrVVCMBtVzg+kSjL9AblQIRk9xq67xNcrn2Qu/TK9eUma8Ixr2xqfB/\nVSTEdtbgnkT87MxBh2ACXX7qKzyH6USjGduiEdYBubPntnQp0G7zMrIGOSmHM56jgxJ6FETXl9uF\naB60QM6rS/xsbFd1uXJpTZdVhTxo00yXByOpw59IHwAvveXNm7dn2jkX6RAl8enMtRhKIhPpQdYG\nSeGrW0qOXN3c4e/ESqxkKXu+DAp7rlWfX24/d42/U430DR7nTLYZEMm8fUm9VCCk0KiiXrVq+A3f\nG+h3jp20NBRSoJJPFLrMPRRz5G18L2NRzGTB3q4KKjily8aCL9Xgel1GX7eu4/2J5zif6i/98EvL\nfVcv67yO+uxJRoeQcSdZeMUC6pGh/Nep9Wy1lCjtSpeZW1CabGA+4oSvtxIrIrAjJhanj3VeZvsa\na5+IAs8mCE2Ocn42OtDWe21HEU5Himo21EHSSkNi9itKkG3LBx7tazbfCDI4Sby26ejYOnU+t0n1\nc+2a+sxmyGPaBbJyI+Y52oTy3dtAMBfy02u19Ce4JRmCDdJsPzPQcfYe8vZaTe/zighwOiXys8bx\nvcf35u0Cmv/he/N2Ae1cob4luyxicQKTUAZPc4HOVWDLemMlPzo1JmE2gazZ6IqiSkW/075yQ7fX\nGcJnfY2h5j1H0uh3tlb1mK5q5j4USNRWGAZXoAX0I4FZA2gljem5TlGoPBWTt6fOQXQ6fXcisDNL\nIG02c8QNkG6hwj0jnXyymRJftyQt+VILvjO8r98ZM6mXj/Q7RtJeS2gFbkuIz7uGpw3F0xWXeg1p\n1AZUZwI35kyPU4rmfAiSQgH0OJhM+bMzaFMeyvGvbYLYJjQ9jSuyrEp1SWdkqRXHep5NKa5p13UJ\nOZmMYFuKpAr9aeRCoJXQryECAjQUnF2PIJ1YUH+9ASQsNhuV+1+JQSM/4HOH2NBzDgVgU96eQxGP\nKZxqlSyhvQKPN2/enmXn6/GtpdS6t7Rk7oGHnEuXkyRWkqTb0r8/2OfsuVqgb8FrVzlE1d5Qcg4c\nDgVSrmgjCI8J+ZTBmzUAXbxuS7KuZurxB5LB1oUikXXJQjwaKlrA0sx05mSx1YM6UvNZUZe0FO00\n8DiuHXQVZKBRQtxtBqWGeTakgqVeh04uUy2kGTzhUOQCqkZNweGxElCNRa8sKi8B9JULpGAEC4iw\nhbSRUKTNdC7tguc9GyuhV0D5dS5kZgldiVzBTlX5PspRYlzmOIV7lsnYTQR98nL+e4K9FGvQtUjC\nYjNQy+lLa24DrbMJW7m7GilAkKFsByA1nhfwHIj3j+EnaGbs8fORZicuIONxIR4/BSSUyb3QhFDv\n8b158/YM8z98b94uoJ0r1C/J0lTgV1xKzBggnpManswUf9ZqClU3pPHizhZk811ikiZpAekz1djn\nos+FExOATCSQdVHoeWbQMjsUCL+Sa9w1PWC41wIOcLUpdf1A4Exw6SLXg62zXUz+KTU4PHbJwsNm\nx65lcwG15o5wIiIKRSzyJmST7V5m2J5UoYY/1aXA8R7H0qst1U9ZqgJh3gGMxO01ARYIiXy51WMD\n4lXYnyu5Z6WldQ4qQrg+aElT1A402kxEO6EkIB4N1NHPmfCap9CSXIizGMbrGn6aEltwwzJFno0Z\nLEMmIszZanb03KAVkMo9zYDwqzr1Jej6hJ2b3BziskmbksLyAHQZMrcEgodjLtoHmRQdnVFr03t8\nb94uovkfvjdvF9DOFeqnZUn3pfihLs0PM2j0GInGuBOcJCI66itE321dIiKiOFSsk08ZhpVj1Y8f\n7d1dbh/vcbx6Ck0oGwIbR9Dd5cm+FowkFd4/mSocvCsSU1mu4+2PeKkwBchaAAs+l64saa7HseV7\npbdwuy9x2wrEtfPCFeFoHHgxUeZ3Puc52FlXMcimpJkWE4Ws4xPoEyA9A27e1lTaUpjuAApYyhKg\ntZMNg6WLdc0aYZ8JQPPf6QsslG0v5F6cTg1WGLy5xku5KyC7NhR8ewR5BwQdcsayxGrAMrEqc4iN\nWV1IH0VcU2Doe32OODwBMc6ZaEbYUMfbgLEVcs/6fb3Geou3OyDVRrA8SCQvoVKBZYakaxeg+ZCC\n8OlIuhUtSn0GU/n9LIqnLCHfx7zH9+btAtpZ5bXvEtGIiAoiyq21nzPGrBLRrxHRdSK6S0Q/a63t\nPesYRERZXtDeCb+xY4lJF5DNtNPht2M417fcPSGhiIg6Qjq1IbOMxuyps5F67BFkNr31iPe/ev+J\n/l3ioEfg8adAolyWt/RGRwnDe4fSAw7KiPdFVvsY3v6YnTWTtzUq9Cw/Bx4yhzbaeY/f+qAgTrbk\n23TSUSSUATm1EGTRB4QyPGakFEEnl4ePdA7++F2O6d+fvqvnJiYpn9/WYHkCWW+JILIKlE0bcjF3\nkBWHObDivQqMTYsi0Xym3ymBFE0kG7ANZa4zabN951iJ2wBVm6VkuQ6poKGMqYD+gXUh/LA1+QTi\n4kcDfiZGU/3OiQhnfvP+g+W+7Y4igg1RAsL24ulE7n2unxuD1I/rvtQBYrgqOS4BZDmORiDgOeDt\nR3265t8AACAASURBVEM9jusqlYq8eVl+/HH8f9pa+4q19nPy/79ERL9nrX2OiH5P/t+bN2+fAPso\nUP9niBtpkPz7Vz/6cLx583YedlZyzxLR/224mPy/F638LWutk295QkRbz/y2WF6W1J+N5cSOlIAO\nKonUlQc6rMlMiZeH+xyTb8wUCnUkTm0BTi+A/HPVEhG0V56LsGMGyjddCNA3pVvLNnTfmQu5dPhQ\nScShKLfMgaQqIWacShy/gJp2I+cssRklQn0ZG3basRlv93oKcxOMQ8tH9/q63Pnmm28SEdGL26pI\n8/BQ4faBLE/G+3o99dd5bPUF5gNozXtrlbUNopamR7t4dAn6+wXA7VLuVTZW4msmxU+YeoowORbi\nqwaFP65w69WhXkMjwu8IdEb9ACmaCWeQ4jqVNOoUOgTBd9wnS3iGxqJ4M5iD8KhRCJ5Lk8/dbY3z\n17pMULaggasdKtF6cMD3cjrXfU1ZmiQA9WewjJzLHPRgiXQsyxg3Z2dE+mf+4f+YtfaRMWaTiH7X\nGPM6/tFaa40xTz2lMeYLRPQFIqIgPqtMgDdv3r6TdqYfvrX2kfx7YIz5TWJ13X1jzI61ds8Ys0NE\nB8/47rKTTtAI7VSkrxPxcgvQOzsZssdJaup91+v6xgylzBLDGVMSCeVcPcoUiKbGDmf2ff655/Q4\nol4zGmiosFHTsMtYiLEQwi+UMQp4cKLj3RvyOTE5a3GKtHuvVPYycw9DYkjkuew8IJ+c9PSi34fP\n6Rw0RIZ6kmvR0Wv7TORVQCfu9SdK7lnx1D/w0tXlvr/44yyafP32leW+pKLjTBrsxQLQELRSHGMg\nzFlCebDr/lLCJLgiHAshy0pFCcVqQ7QV4T5nUmgzgJBkparEWCrzNQY9uk2ZlzDRG1TIXE4BlYwh\nlGhFdWmcKUpw3KDrz0dE1IDtqXjg4QCyE0UjsFJVIrS+qqB4TdDKAkhPO2XvXxSYnQjITyq7FhB+\nTOV3VBXUgUjx/ewD1/jGmIYxpuW2iegvEtE3iOi3iBtpEPmGGt68faLsLB5/i4h+U94kERH9z9ba\n3zHG/AkR/box5heI6B4R/ex3bpjevHn7OO0Df/jSOOMzT9l/TEQ/+aHOlhDlu1I4ccjQrzxUWDPr\n874J1LRPAe41V5k8WVvVIp2R1Ei//lhh7gKg0rYIINZDhZqxZDvFEyWPxkcKT3tCvFioNsmHfPwt\n6O4yEjWXAcDG/bFmjo0k9nyqRtqe+ue9JjUzdh8+0RclH8iiK2LI7JMhZaQwN2wwdH7nREm3r92H\n7ETLUPNKU5Vomq7p5gI69sC15ZIVZ0uorQ/c0kWXFFjYY6T9tQX9AAdPCeL9qMDjWqdv7iqJmEUM\nibP8IRwH7o/kC0wXOm9zWVZ2q/qYR9KCvQCwuw9x8YEsXUag/LQQgrmO1wCNKx2xfJBBh6eC5+g+\niIjGdb3eK9ucZbne1SVmRTQUsh5kf2JuhrQnH8E1VkXOvdPkZzEMzhao85l73rxdQPM/fG/eLqCd\na5EO1QMyrzCcLP9YJJkgBbZwopEQhj8uFT71JBU3vq5MaSapiq/tKeO9d6ix6a0OQ61LlXeW+5oC\n+xuQLxBDzDgR1jQAOL3RZUjVWlcWPH7M33/rWOHc0Qxlq9wyBavrS/fH5R4D+QT0U/JZpEr33PoA\nmH6Ins4LhoN7hxqlCF7hZVE+1c89GSlsrArMPj7QebvzxT/la4CIQQ3i2d1tLpKKKhBf3+Tz1C7p\nkiGChpNmxNc7G+t9PDqWwqpCz9OJULqL57XW0SVdcy46DilEFHp6bYU8RyloCUwEjs9Jx1sXuN0A\n/YbZobLxr+/xOCO47s/e4oasV9ehQ1BbWf26wO24qjkPA0m9vv9YIylfv/OWfl+WjLsbO3qckH8b\n44leYy/VZdWXH/H216CAqCJCr82Oyw+hM5n3+N68XUA7V48f5xHt9jgbLqvxG/UYXj2JKOKAIjSB\n6Aw9PuK38SFkgd3cvklERLdv3lzuS6HgY0NKPD97U5VmNrv8Zq2FevkB9qWTLLA+ZFqd9Jn8m4Kk\n81Q8yTSH3nc5evJQ/gXiS7oFWVBeSbBrzl3+jq3reArD4zAgCBpDvNZ17xkNldx7Szz5C5uXlvte\nunF9ud0UL/XCpzW/4eXnGc1UMO4NPeSiGs9b3ITcClErCir6HSQhM3nERlBXdSj99hqQTdmE7aLG\n3hjLlTOhQ2+SZscVkGMwEFSFop6ZCKPOCyDliOc6rOq+jW2d/86Ex3sIMfmDMe9r1ECNCDoZmZDn\no0gVWdSkC9DNVS2Vrq0rIlhb4e8YuIaFZICOMz3Ocaa5CnORVK9C63gjxW4pOSL5bOY9vjdvF9D8\nD9+btwto5wr1o1FMa/+YyYw7qcRlrRbCRLGQFgB/ujVN5XR81pN9zQ6uV7hDzmpVv/PCFSWXmg2O\nk8aQ3klC3Myh0AULRqpS/56BgGQucdkCBCsrUj+dFAoLW1iPIKmnAyCXXJpqsVD4v9VVYmz//2TY\nOSmUwCESiBgq7A7gctpV/k4CJGJfUltHdZ2/W5cUdrqadxQcnYqqT1xVOG0a+ohkxhUQgaJQxvOe\nTgFiQ2eauSwVhpCaGkgxVthQuJzCcmgihVwldJEZS35Esq/XcwQKPMelFGNBkVRL1IHqkE4ciD7B\nqcIpWObtbriW19j4k79z2NOW4oORbtdi1wBTIXijylA+auo11uAZdX1FJ1DcVIo+xAJEOyt1XYZc\n3WJycW0b4L/kHaw0RRMgQiL52eY9vjdvF9CMPase78dgt67dtL/yy/85ERElklnW7KoX6ovqyb3H\n2uPttTdeXW47eegAwkCuy8nDx/oGzkCzLHJeEEJhC9cRBnreBSH2e5PjQ8isJl61GkNWmnj8CoQC\nd7c0PHNdQjU7KxqWakhWWrutnmABHX1GoihUZJpJ6LLNphAqxC4yTo65gPHORMVoMEEFF/UuvQET\nhlMo+0yXvf7eW2hERJRJW/EBZCeOXdktKBhZLDkWEhNrRwJBXAEglAiJVvm31VJvt7XGnviX//V/\nY7mvVtO/N9qMisZTRV/93rH8q2HOIynMwh6Hmy1FOCuCkGoVHXAsXrQO974C4ceqoMl6W5/luM7H\njKCYJ6qh/h5/J0j0GozMgcG5gL8HotqDHYbmch8P779NRER/9QtfoK+//sYHVup4j+/N2wU0/8P3\n5u0C2vlm7pmQqMKQbCKESzVUQqQUEmVaaEz3eATqNKLWE0CmmyuEGQ4VLlehBvrSDsemW9BRpi9E\nUwh15RWAZK6TTGkx/i5jhAKgyZBh4wJqtylRCB8LhEyNQsS5BLS7K5oF1m5Bi+gxFwgNR0CQSfeX\nPghnEsDBmRTPZAABl12JQLh0NlWI7rDgxgrWmDOsrCGkhTr5QkiwJydKPN5/wlmSRz0d7xQUkkZj\nEMQUcwuJ9FQXJZhr+cAIVX1kOdNs6D1rnIL6QuLCeN3yYQFNQPfucgbnZKr3sVmHQhmZa8yzWG3y\nOWuQyZkEesxErqgCSSeRZD+G0JwT8x8c1MeW4iTPNZKNJoZ26ELIGkjPSxr8rDfb/DwFwdl+0t7j\ne/N2Ac3/8L15u4B2vlA/jCloM9M9lsKWGqQ5VhKGLd2OxuHX1m4stw+l+GYyhvh6xtB6dVVTdm/f\nfH65/c/++A8QEdFmS4nOmcSHc6tQMYF4d0UgHUpDHUtc/N4j1VZ/9JBzCI5AxNKWepx5ytO7geKU\nAt2CSJcjCcT+G9KYsXf0aLnvwSPOW0iNwr56Cxp6SprwDOLeTrKpDvoBG2vby+0VgYjrq3qcNSlc\nSSAWDCpmVLrONPD3heXttx5oMcq7j7UXwttv3SMiouOhxvknIn45hy4xOeiPRRHf08lQIzW9ES8f\nGm0olIHcjEqV5z2pwLwKnB5CnwUrj3wNegPU4P5kEk2JIfm10eHlaAsiMZHRpUIo0DsEqO+2jYV+\nAxAJCFwk6ClQn2Apa6BYyG0bKESKZblTlx4Qp+Ti3se8x/fm7QLaWTvpdInofyCiTxFzM/8aEb1B\nH7KTTk5Eh/KSP17wG7EC3E+7zu+huKpeswZim7WIvYYFD1lKe+QNKEb5sc+ox//+F9nLNU5lTUk8\nFEi3oKJv3lAIEpTAHg/ZE2+v61v/7Sa/tV8lLfntDzT+vi/ltNfXNTPvxi0mG9tNPfdspJNQSDbh\ndK4eciBy1FWQAA/gne3SDmpABLWEkNpY0Rj1ziZ6Sz5/G1pRuxwDdBoldKsxQvpVq++NLT+/rtfz\n6KoScK+vsCf68puKlL7xDqvo5FC4Y40ik1aLEd9sohmaReGKUMCrggeNhUQzUPC0rFEFErEh5N/2\nmuZbrEJ2XSh9DltVfe5cRl5SAfIOxmtkjgxhNqBcF1xkMdFnw5F6Qfg0745JD7DtNiEpwgj6ilzR\n0MeswPM3ieh3rLUvEstwvUa+k443b59YO4vKboeIfoKI/g4RkbU2tdb2yXfS8ebtE2tngfo3iOiQ\niP6eMeYzRPRlIvpF+rY66RA5WfpJyVBnAYRVT+D/PjSzPDrSmvhAtMMvbSlkfWT570mosfSNrl5W\nNZHuJMChVCWeGkDM3QLsdzgtB5jbIIavO0aLilzG6Rxi0O+8fU+vV3IMeiCY+GKLz93dUHLJlnq9\nj/cZBj84UJjriK8E2lcHkcI9J52/0tWciHXp4LID5N3mCsTAXQNMaAoQS9w7SjB9GeYleC+JZQzP\nEXBqVMn1mK1bnMbaMDqXC8lR+MYjSKUdKjE5W7ZJB0grPsqlaBMRYd1Vo8LniaBOPhON/RgUhW5d\n5rbgm9BS3IB4aFNIz801fcbqsiwK4D4F8LwYKToKYKkViKZAAeTooqdip6bC9yqA2volTEdFJvP+\nvtl8C+F6Rln9M0H9iIi+j4j+lrX2s0Q0oW+B9ZYT/p/ZSccY8yVjzJcmo/elALx583ZOdhaP/5CI\nHlprvyj//78S//A/dCednasvL9uHDQf8Kjyqa2huIWWwj+7qofrQOaUjmmZhQ9+2dXmbV+FNNx3p\nG/xoj8NMK1DwUQiyiGrqAUsD5afiwceQgZZLGecCUEAsb9utTfUeE2jJfHTAnu3Ow/3lvnaXQVKr\ndX25zyEZItVou7+v3jCO2StAdSlNIHQXSZYZ9prr1Nj7tCpQTALkU0POWQHvHsXsLcNTxUugOiMp\ndTbHslweRwTzUjOKCLoJb19u6zFvrzHheOdQ79Nept50MOCwLRZbVaSOFbMCp1O4XimrxgKXbMHP\n00pbCc7WUt0HetJNFLF1JIOzWVMIEwZuHFA8g/ybPAchIMhQni1T0/nND9Xj5xJijNpawLUk957l\ntV3xlH3vPuuyNj8uzT1r7RMiemCMeUF2/SQRvUq+k443b59YO2sCz79NRH/fGJMQ0btE9K8SvzR8\nJx1v3j6BdtammV8los895U8fqpOOJaLMOoJIOppAgctQ1FpGU4131rGeWUZ7fKzdVFzsdHNVs/2O\nTxQmvzHjopeXbqjY5uyYCaKCFOKFFSXBXIHLQU+JpJm0VQ4hhl2RGHgXlGSu7yr512kyQQTolMaS\ntTYcKFQPIdb74JDH61oiExE1WgwbQyDi0plC40RiwSHEuAOZlwiyvPDvobBAEcR9Q4HTuPRAuQZX\nZ2/hsXG1LDnKpEPb8EAKZGoE5KuQZSDuc7qGX54JrDt34yjgcyksLxZCCJZwT7OU53gViDynoPT4\nvmYXhgB8mw1eFoSI5WVpEyWaXxJiRp1TJsLiGtkOgfWsdKFRqnSIsvD8W5eLgAzdB7B1roORFYl1\ne0as7zP3vHm7gHauufolEaXyJmxKbnGc6Ltn3uO3cZHqW6sN6iilvHlHA/WQ1Ui8YaRvYySAKtLU\nIoKc6Gbd7QOVlaaGVXLxtiF4qXfvMIoYQ/lvKtlx7XVFG6tNHUdLEEFZgMpKIGEcYHCKXL3YUNqG\nhzBeFyYqIDYUg0daleYOdegR56Y1hsywBBCDU/UxcBwjRKmBz1lQqildH8NTrZv5+FgSnIFqjzt+\nDbItOw2+ngbE47CpiPP0p8ShhHxtQMlwAs6wTEUJCCTIQzlmHeowZqKdmENm5GpXI9F1ydILDeot\n8r/YHjxEbTvRCzSQzeduL0bjoiY0AxFdR8wqJFc+fCr77ine/2nkntMQPKOilvf43rxdQPM/fG/e\nLqCdL9S3RFORY+5KfDMHYmsmQolFpnDNxZaJiMZSkIPCmQ7aPACBzls3FHpvS/FOpaYwrLEqrbOh\ntDUA4sZBqdYqiDB2eHv/QGOxQ+noU84UNlYhoWBder9VanqcMOZzVkDMcWoV8roW0i1Ql4mkTNiA\n+g+KPdYEMlcShZ9L7ski7NZLdIKiQfgU8gjRJSjIGIGTTtyTiMjKh6GBEKUgD10uBTx1HIlcTwKw\nHfGrfUoDOBcrh9tIdZjDUPrkYVFR6HIzQE1nLmKmOUhzRzXM4OR/c4DgroDIgCCrgW5DyyQ+C0sk\ntyzLZ/A56L7jMgwhA9Atq0x8ilEl+B+5Hnrv3z+kaK73+N68XUDzP3xv3i6gnS/ULyxNewxXZxLr\nHU405n7yhFN1c2j+OIwV1xwcsypNkWoMu11hqHQyUwj+8i1laTdEj91ahVyZnNtCIBmLUQJpIR2B\npnmScP12s6N5BUePORUX4X8OjTapygxxDSIT1WYk59CP5QB5XUefHFJPU1Gqwc+hmksuApFFCrDe\nQVEoICKMr4s+waliE9EhwFp/i6y/dATKAerLyoQMIfSFQhlRoJnMUHc/chehY4Nzujh2gZECgfAh\ndD8y2CEnlzUATqycZzHU7xw+4WfoCbQHD0Jtqz4Ulaeg1GdwXZSLkgTSeCO8F7FcF0QmRvwclJAL\nEsD3TU1SdSF64+YlgX0GoiEuLddC1MQx/W5J5Vl9b968PdPOV3OPSiqlOCKTt+PJiWrLZVP2/l3Q\nNnNxeCKi8ZBLXg2Qf9fXrhER0drWleW+53ZV8aYlKjlJrG/9UrxGOtUCIANlo7FkC7o3ORFRKDHy\nulGPvy1FMY2OevRRfwzfkb839A1ea8s2vJnTMXhYud4YSjwLRzRBB6EQZJQzedtPFtD5R0i5FShE\nCktQ7bHuXzimaN0ZOHYJTFIp2YCYY1A6JRlQvrGhzmUmXn2S6XlG0jFpvlCy0gC5l4gEe5FrzkTu\nMtMgl8ECo1hkopOIZJnl+Z9n+rnHR/yMPTjQ7NDCqMevSky+Df0bO9IhpwAi2oJeo/OfeA3OpWYj\nRbSLgZZsm5iPGXa1SCd0RWigQBUaIB6FpCwXoPQjRVYW8wHOYN7je/N2Ac3/8L15u4B2rlC/KEsa\nzRnqJ6VrwAgKO0JUbG1ooUsBMfLc1X4DPG1JG+Ef+bTKaz93XYsyOi2Gfkmk0CyUVN0COqzMR0rC\n5FLrHkAM26WRlhBzDxMmDjtQj9/odPU7AjXjhkI3154ai1ISiAnXpaa7BnCvlPdzDHDaEZBERKks\nfWZzJaScLkAKxT5YWx9LjXoE+wIhDLFIxGJMXgpK0lTnbTrn7cFU9/XHWHjFEPRgpsfZm/J4p0A2\nxnB/EiG+FlMtpFmiaIjJm1LH6VJ2UVfBqdMs5jqewYC33wb1n1cf6pJvd53v349/+oXlvqoUgAWg\nd2CQ3JPzYPcdN4wQEg/ygc5BIGnRId5TIZPLuS4pTj+DfHzMcwmXegofzod7j+/N2wW0c/X4eZ7R\n4REr0KQiFGdS9eibq/ymb0CYbe8AiBcJZ220NTOPhEg6hLDg7kwJuHaDQ2oGMtRKCQOhwgt6/NQV\nfBT6Zk2lkCYAjcDVTQ7ztNd3l/viihb7BDF77bAKsthyDehJIwjNtaWgJIZCmZmUvEbgHTB5yx2q\n3VW00RHtOMyi++pd9aAPjnleP33z+nLfzlWRaoZzlxA6mg2ZENs7UmLsoYQyT6DJCWb+lUKaziBc\nOpMPYMOSChCGiWs6giXDrvTYQI89OFEp2X4FlrEWQiSDWtGqaBF++kWVYL+7r8/Y0ZgJxbcfaun3\nzhbPazVWJJoAaWoDvkYssS0ljJpCSfaj+4gq+bPrV/X+rN9iBBlVkOyF5iZC4kLSIYUtKaVeIqaz\nie55j+/N2wU0/8P35u0C2gdCfdHa+zXYdZOI/mMi+p/oQ3bSKbOMpk8YbgYRQ52qVRhWSkeTYU/h\nz7CnQpXr0jdtY0sh19GIs/1+/0saI333/rvL7Z/4zHNERHT7in6nJmRaDlC+B/H3+w95OfL1d7Xw\n5770x1uHLLwbO5zN90OvfGq5b/emkkKNTelndqqgg9+1JXbCgZr5hoO8UKPv2kajpgCBcKaI+pCF\nltQzgbk5ZNEVMz3PIxEhtdDTLpJjrq+rtLQFNZ6+LA/eflfvyauPGL6+fagwtglkZl0Kh9rQqShJ\npMvPmpKiJ2PQOQhE0QZQq1MMWqYKElEO8Wyb8t9TC4o2JZ97OlW83ajx2K5f0/u4cXUXviP17aAI\n3RdZ7LqBghtYota7Ml+QJzHt83P9jW+8sdz323/4VT1ng5+d20d63Z8Tqe1KU8eGlVVOtWcx0Wej\nsi7z4pZSZ9TXPovY5hvW2lesta8Q0fcT0ZSIfpN8Jx1v3j6x9mGh/k8S0TvW2nvkO+l48/aJtQ/L\n6v8cEf0D2f7QnXTKIqV5/y6fuOJSUyEldMZwMDXKXu9AjLxumF0dAa1ZSHy4u6pimilA+NfucErw\nakuZ/uvXGNrFEEvvDxQijuY8LcOFwtOjsUhIrSpz7roCjaBTjoE4sqt1R516lwZs4NxY8JFIXB16\niS4p/BhY7iqk9M4lXXPQ05yI2Qmf+/4hRDsu6S36zK0X+ThVjRkPBgxfUYcelyHpmOFrvappphu7\nrHfwxXt/tNz3ZKLjqEt69DqkLV9Z4ajMrUu6/OoP9DwjaTV+gky/xLMxNdVCEY8r6LGg6R8E/P1q\nBerkZWbnE4Xtw57C7VaHn7f1TX2eOivSTDSGvI8h9D0QJt3Aczs94WOeQIGQS8klInrx+7h9+9Yq\n5HhIqnpYhyIduOdOuqtGIEogRVT2rC103NfO+kGR1v4rRPS/fOvfztpJp8xmT/uIN2/eztk+jMf/\nS0T0p9Zax+x86E46lfqKLeZMmrjwsstuIyIKpRCj21CP8vxl9VJrItD5+OjJct+9B3wJ165r5l4+\n0zhzXPCbN2lCi2iJu0dY5gry2mMp8ayuKenzKXnZ33j+1nLfao3PfXl7e7mvBW2pXbFFAB7fSeOY\nEpEBiGDK31HLMROR0WZVj3NpVRGMzXl7H4RLkzZ7l5uX1XPdevGl5XYnZs/XNkpS0cIhKUAo8D5v\nSs/B6y3No2jk7OWK8EeX+4qaerFowaSpGR/pcSQWP5krrnmyqp6xX/D39/c1Vl6vSKk0drABJSYn\ncR1CBmBFxoGVqlWJnzfbOufb63rPKlKQYyAmH0eSwwFS5aj0Uyx4DkMooU1EFenTr3x6ue/yFc0d\n2LnNJHAMqknLclyUSoKEjUBK0JM2PLdOIHWZJ/Hxx/F/nhTmE/lOOt68fWLtTD98Y0yDiH6KiH4D\ndv8KEf2UMeYtIvpn5P+9efP2CbCzdtKZENHat+w7pg/bScfmlM44FpwbgXFVhdh1EZhsgzb9Gije\nXNthiLmzphDwhijsVJt6nOEI4uY5EyadrsLTWCB4DNB5BeD2yxJnvpFCnFhQXq2p46m3+Zy1ji4j\nggrA5DA+9S//z7dCM6IQzu1ENAsgqZyGfgWgZreq7+xVKQy6uQMFQvJvs6MEWqOjc1BMRTUIrnG+\ncGKaMNxUiVSX/9AFaLwmNfzXr+ocLFALVZRsouLacl/eY2LsEXSzeVDT5VmS8Xy1QHc/jl2xFcDp\nUz0B+LMGllWuZ0MIRGhTiMsQ2lNHdb0eI3C7mClBmUtNfTbS5UphQRcgdQ079cIrUnBTg1yFnevQ\nFarJy9kStQ+mkr+A7cEhB4TCp9X9O9FUp2rkU3a9efP2DDtfBR5bEhXM7C/m/HYbQ7hoJm/O+US9\nzPETDZvsSEiu3VGPX9vgN2oKRM8UQiguBNbCQpnSFdzo0ND7t7oSNslR1URCcxVFI67cFss1gwiJ\nPNlGsmbJNKGGtW526/ydPnQDEjVqMhC+yhf692DGnnq1q54rFuQRJzoXNFVSNJVOMoORhrJswY9D\nCVmDAbj/QMjXmDTbsip98NqRzi+qY5e5ZCpOoeed8G8DKLhpQ/npQIqSTqnKuI5IMJUY3lyGHeGm\nhuIZkaizgoWwL18xVrSxPB541SXqgRLxcqZzUBR87kpLUU/sEF2qyCGC7EUjOokGUJwrtQ4w0xPI\nP+em8f64EmrXYvusUT3v8b15u4Dmf/jevF1AO1eobwJDlYbEqQUKTeYKs/qSDTUDKD+fK9TJpBVy\nBHHMqmQ5jeeYiaWQdkfi2RWIcRspYKHivZLORFr7bYBgs5KRF4LkdljhbQPLlVPyzu6YuKZwh0Sk\nj9lZy64sCnPdXwuIHWcAXwth08rJ/9fetcXGcZXh79/7el1nbcdJnEubNk0paaEXVVWr8oAKiFIh\nnngAIR4QvCFRChK04qHiEQlxeUBIiIoHhABRqoL6wK1U4q3QUmjTNGnS9JJLk9iO7dje9V5mDg/n\nP/t/S+zGSZ21t3s+ydrxzO7MnDkzc77zX76fcvyzFf2knHVSvEn0etUoAq1QUOMgz3DI8BiSyx1d\n62w5UEwydrHgpSbcJKn9pt1SykzqS0N0/Ut6b3CRUGheOjPZDF9X110uGjABUI6MTJRio2FUnU63\n0/ddB9K4ENe034CO0w5TAC5qOuqNqm7ZplJoUg6b3geZIYtZyaieQqbEkXl0HoHWd60KVD98MRr3\nIiIiVkF88CMiBhA9pfqZXAZDW73/tKCJGLNn3+lsn53zvuXZYas4souKRwYfLltz88HM64w2Ts9Y\n9PDuMa+xn8lSUUalpY58scIVZZTiC22HJpsIqPBhpwY603tevmjB6qYTteXa8A2loiFM10PlAVVI\nJQAADgBJREFUujhElXXog3AjTTnCNQoFKgHAkUBnraEUlKzbQYxTKBYhQwUcxflzS7ss0eHz4uou\ngCXSCEtmaZJVm3T1h8gbMhwEKinWNqPXKO3Sj+fikirlRtVsgqhqnu6h4shwaNhFbfAH8NOpxqzd\nQ7U5T/UblP/PtUbzRU0QSkkks6DJM3mbtnZpLGjikFBciFS0rkFuhekiLXdNLTtxIeHGwpoQR/yI\niAFEb2vnSYp6VpM21EjmynYK7Zx/g5+vmxHkyFtmHPnwvmsBANuusTd4osori9NmpKIXbyfv5M3D\nRzvrCqk30lRJTacyRDLHOuJkSBo5U/YsRCglOFR16XrJdr2hMxevC4MURe5x5ZoFNZwt0WhYLPpR\nocly4C0yempVF0f77GT90ijDpaoXNFaiRhVuoH78dtd+bPtyUJihnOGiGgzzjlZ2DcTqNyfBy6Yq\n4rSWiXGldq1zGoWXZTlwjYmoN4wJsR5RGN2znHilQzkn1wRZa06fZtaT6P4Xz9iIP3s2sEk6n7It\nF8tqDKbrFtiKZOgs2T+vEavCdfI6dHCV8ThsXoERdLHONSCO+BERA4j44EdEDCB6S/XTBEs1L8rY\nUDrToJDQBS1l/c680cJzF2z59jd8DvPOETOIBOPV/KxND4p5C6utqzjji/99pbNu7qxPDrmR1HRu\n2md56yMTfgpQqFriT3HUGwmzeVsnWvHE5amCSoYTcsLCxRolXcY98kfPqMrNYt2ofrXgDaIN0rif\nr9mUY27BX4MK+atLgcom9r16y5anz3vf86lZ0oJXYdMc+e5LWdve0LzzcaK8BTXqpVkO87V2Jlp1\npz5j/TN7xhvLzl8g9Z+aUd4Ty37aViNaPzLkjzlHyjnSJl1+NUiWiNbnNQQ8K2yg9J9c16BN1/rC\nOX8Njh56s7Ouco3ve65b0K7b1LKt06aU9AWSJb1vqZ8zZQvpDcZkR7EZ0Ao50iWqSuic8rsZi6Mf\nPyIiYhX0eMRvo9bwb8q8jirLVIdtvqbvIbKRFClt9MSUd/fNTFP1Ha1ykiHVGE7AaKvc1779ptAz\ncfcdAIAxUsspj5gLMatJN1y3r6kjjeRpxClosg+NxGB3UzDSZC82+jiWhaFRYVG1sslzhERH7zTL\nBj1Hv/Ej1iIlCxXUqJenNNVFqq2XqNurULR2Ty347SdOW2WZsREzeoa06WzBXFSh5cuLJJNOteoS\n7b/F82aknZ1b0vOxRtbIVTmjxr+URuWhgj/PczXrkyQx12pZv1vN2ugdKgJluLx12PeSnW+djIxv\nqaT6oTctBffADV4Famy7Mc1hShcvFkJKsF2XRNlgSvd3NrGRPFcIzJFqF6oRV5gg8vK7DdMS3XkR\nERGXQHzwIyIGEGui+iLyMICvwBOPlwF8CcAkgN/AK/O8AOCLzrnmqjsB4DIOzSEtMKiUuNWwCjYL\nGjXF/tDxnFHRJTUELpBRZ7uqp4zvmOysm68ZVQU85aoMmWFmbNKLY5YqRhWzVCgylC7OVuw3TlVj\nuAKOC8UfWTGli6a57k/AfMY0HWHaH6L4SqQ+EyLqWEI5y35bvV5NqjJTa2q+N/n+l0hNp6j7v3Gn\nCYUe0Aou1VFTjRHY73N6/AKFrWVUYWeJctpZTyHV3Po6TYcawXg1ZEbY5WW7BoneRteUjU7v3Opl\nvOepjQWK0mtqkcocTTPKavDjKLu0pcbGszOddbNLZGTUuATH/vegq0BxEKUtJgJbCLoMZFx1HY5O\nCjtUpDVZ8LEBXaKrw3o/0b0hbgWu35WlEz7XWV5bRHYB+BqAu5xzt8JPSj4H4HsAfuicuxHALIAv\nX9aRIyIiNgxrpfo5AGXx4U5DAN4BcD+AJ3R7rKQTEdFHuCTVd86dEpHvA3gbQB3AX+Cp/ZxznTjN\nkwB2rbIL21cRSNS4nj+j+dMkMdVW62qDZJgWyT/c1ljRCgkYoqB0PW/iibuuvdl+f94nAZ0/ZYUe\n3YyPJSgQjS2S77qiEkrD15pAZMhLz24hCS899qrhkoGmkRZVh7l1hbWadXso5PiTxFexcDFl5WMG\n2aWU5hltpaUNslgz3S7r1Ibz4IeV0la40GaLpjZKk9s0fRDtn1bT9pNwTXf1qyd0fRMNyU0yRttP\nU2KVU/r7wd37O+v27fG3VyNvv1l2dsyWyqSVW3YtG+rt4PoJwX9fa9i1evmIJYotaBzG5I7rO+u2\n7dgDAChR8lI2Y/0jquvQxcqzOl0s21SVNfJD7YKUvDepTlcydF0kt0JcyGpW/8vAWqj+KHydvOsB\n7ARQAfDAWg/AlXSwfIVnGRERsa5Yi3Hv4wDecM5NAYCIPAngPgBVEcnpqL8bwKmVfsyVdOS6osNd\n3mCT/kNfdaQKk2q6bOLMsHJh2d5+x097H2tljJJrtnh/6OuUhHPwlYOd5ekpH6VXmzO/bEVHoQpF\nDVYpgWJMR939N1/bWbf9pr0AgPHb7umss2QJGtFblMobBprMSi88Sp6hFNxhHd0pz6gjEJnQCNcm\nH3dDR7k2MSWoigsbBKdnzJA6d9QbQKs567atRe+HHh8xo2aeBCKzJb+dmUWurPLOBTtOsWT+7HDu\nsxSBeXret+7YeVv36llTTXI5f498iEqOV5VpZUp2fdstqmyjKkRNkrheVp9+ke6nQsmPwKUJq5I0\ns2Tl0J997RgA4ANbzUC5LbdNf2OsMk9lspMQvUgxHC2NFxCqGVjeZobUwk69xtSnSc1fD07aWkmT\n1a0wzHdYo1vb4LqWOf7bAO4RkSHxcYEfA3AIwLMAPqvfiZV0IiL6CJd88J1zz8Eb8f4N78rLwI/g\n3wbwDRE5Bu/Se/wqnmdERMQ6Yq2VdB4D8Nj/rT4O4O7LOVi+mcfESe9vT9VQMpszepRPvC94C6nG\ntClv+sRJT8kOHn6ts25i9Db/uc2MKBNnzDg1MuyNQm7JaFpB6WeeklYmRm375A5fcWbLLhNCHN7l\nzztToZLLQZGGohe4mGJGk4WkaGGvgbAxvW9o4hIAVCueJteYAqqfPksVeRzR7aYaD5eohE1e3+k5\nMhJeM2rtCZGkw0NGy3ds920c38ZVh+zcg4hmQpS2qXEYKYXccoxBqrSUlWgaUNHOgp3bFppeDI/6\nPhsZte1O/G9GEgqtJh4cjHYtmjo2VT2oRZV0WqovkJLR7IZbb+ksH19SAzKFMg9t81PL4b1G1XMk\n3prWNRxZSFNAS2tzIQCKMEar5a9bo06a/1rjYHgP+fZTUvAJs8MV2Hx72e+PYwDeDTFyLyJiANHT\nJJ3sXA7Vp7yh5GTLR0612xOd7SFgL0MD5I6qRW+VdcR56/hLnXVvV/0brkjpozvG7dVah0ZVNWyn\nJdU7y7TMlVip2Bs+X/XLKVUxqdd8pFU6ZfXe8os+1ZRdLgm57rIlP1LkyqTTp6NUc8k0AmdPv9VZ\nLmip5RIl5ARXWKVgI1eR02B1uUm+oQVNEilTEkiRRu8xHdWHyBCXVvz2Nt8VRGdSbRsbDFNNKW5Q\nws0ysZ5UXbCOjJmjen2bNBI3aJ+VUc88srhYzroxZW1oko5fsAG3yJ2XV6NbJrXxrVX3jGCeUoIT\niga8RdOzi8RQ2vlwfel8KGowEU3PZuWijto1KRgtWERpuuhZXr1m96BTSfSUdA6rxH6zQXabc8KU\nfS2cPu7/b7FZeHXEET8iYgARH/yIiAGEuDX6/dblYCJTAJYATF/qu32ErYjt2ax4P7UFWFt7rnPO\nTVziO7198AFARJ53zt3V04NeRcT2bF68n9oCrG97ItWPiBhAxAc/ImIAsREP/s824JhXE7E9mxfv\np7YA69iens/xIyIiNh6R6kdEDCB6+uCLyAMickREjonII7089nuFiOwRkWdF5JCIvCIiD+n6MRH5\nq4gc1c/RS+1rM0FEsiLyoog8rf9fLyLPaR/9VkRWqe6w+SAiVRF5QkQOi8irInJvP/ePiDys99pB\nEfm1iJTWq3969uCLLx3yEwCfAnAAwOdF5ECvjr8OaAP4pnPuAIB7AHxVz/8RAM845/YDeEb/7yc8\nBOBV+r+ftRR/DOBPzrmbAdwG366+7J+rrnXpnOvJH4B7AfyZ/n8UwKO9Ov5VaM8fAHwCwBEAk7pu\nEsCRjT63y2jDbviH4X4AT8OnDk4DyK3UZ5v5D8AWAG9A7Va0vi/7B17K7gSAMficmqcBfHK9+qeX\nVD80JGBNOn2bESKyF8AdAJ4DsN05F0TbzgDYvsrPNiN+BOBbsLSPcVyBluImwfUApgD8QqcuPxeR\nCvq0f5xzpwAErct3AMzjCrUuV0I07l0mRGQYwO8BfN05d4G3Of8a7gs3iYh8GsA559wLG30u64Qc\ngDsB/NQ5dwd8aHgXre+z/nlPWpeXQi8f/FMA9tD/q+r0bVaISB7+of+Vc+5JXX1WRCZ1+ySAc6v9\nfpPhPgCfEZE34Quj3A8/R66qjDrQX310EsBJ5xWjAK8adSf6t386WpfOuRaALq1L/c4V908vH/x/\nAdivVskCvKHijz08/nuC6g0+DuBV59wPaNMf4TUHgT7SHnTOPeqc2+2c2wvfF393zn0Bfaql6Jw7\nA+CEiASFzqAN2Zf9g6utddljg8WDAF4D8DqA72y0AeUyz/0j8DTxJQD/0b8H4efFzwA4CuBvAMY2\n+lyvoG0fBfC0Lt8A4J8AjgH4HYDiRp/fZbTjdgDPax89BWC0n/sHwHcBHAZwEMAvARTXq39i5F5E\nxAAiGvciIgYQ8cGPiBhAxAc/ImIAER/8iIgBRHzwIyIGEPHBj4gYQMQHPyJiABEf/IiIAcT/AHE7\nDAgav+clAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dacb332b0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 3110... Discriminator Loss: 1.5141... Generator Loss: 0.7706\n",
"Epoch 1/1-Step 3120... Discriminator Loss: 1.5931... Generator Loss: 0.8096\n",
"Epoch 1/1-Step 3130... Discriminator Loss: 1.3764... Generator Loss: 0.7593\n",
"Epoch 1/1-Step 3140... Discriminator Loss: 1.5350... Generator Loss: 0.8338\n",
"Epoch 1/1-Step 3150... Discriminator Loss: 1.4308... Generator Loss: 0.7347\n",
"Epoch 1/1-Step 3160... Discriminator Loss: 1.9351... Generator Loss: 0.8502\n",
"Epoch 1/1-Step 3170... Discriminator Loss: 1.4762... Generator Loss: 0.6605\n",
"Epoch 1/1-Step 3180... Discriminator Loss: 1.2701... Generator Loss: 0.6483\n",
"Epoch 1/1-Step 3190... Discriminator Loss: 1.6003... Generator Loss: 0.4033\n",
"Epoch 1/1-Step 3200... Discriminator Loss: 1.4458... Generator Loss: 0.8985\n"
]
},
{
"data": {
"image/png": 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6pPJi9FzKMQj1Zfm8UjF+frzzJ43BiaEXC+Ni+pbM5LlDAtRWuElhWVSwnDjG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\nAIF89spKjc8nS4YE6srtbBpRyimBqOTcvJ/BHU2zQj4fJzP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Glxf9eRSNHn4hSJKZEFfR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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dac425710>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 3210... Discriminator Loss: 1.5244... Generator Loss: 0.7205\n",
"Epoch 1/1-Step 3220... Discriminator Loss: 1.4948... Generator Loss: 0.7835\n",
"Epoch 1/1-Step 3230... Discriminator Loss: 1.7276... Generator Loss: 0.6534\n",
"Epoch 1/1-Step 3240... Discriminator Loss: 1.7726... Generator Loss: 0.7834\n",
"Epoch 1/1-Step 3250... Discriminator Loss: 1.4260... Generator Loss: 0.8314\n",
"Epoch 1/1-Step 3260... Discriminator Loss: 1.3410... Generator Loss: 0.8914\n",
"Epoch 1/1-Step 3270... Discriminator Loss: 1.3016... Generator Loss: 0.5628\n",
"Epoch 1/1-Step 3280... Discriminator Loss: 1.1748... Generator Loss: 0.7641\n",
"Epoch 1/1-Step 3290... Discriminator Loss: 1.5931... Generator Loss: 0.6746\n",
"Epoch 1/1-Step 3300... Discriminator Loss: 1.4556... Generator Loss: 0.6975\n"
]
},
{
"data": {
"image/png": 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fJaJPE9G/b4x5lHw3HW/ePrJ2FM29TSLalO2hMeYlIjpL30E3nSAIqN5gwiaV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\nwNQML7OR1/sAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dac3856a0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 3310... Discriminator Loss: 1.6819... Generator Loss: 0.7399\n",
"Epoch 1/1-Step 3320... Discriminator Loss: 1.5214... Generator Loss: 0.6296\n",
"Epoch 1/1-Step 3330... Discriminator Loss: 1.6875... Generator Loss: 0.5568\n",
"Epoch 1/1-Step 3340... Discriminator Loss: 1.4709... Generator Loss: 0.7251\n",
"Epoch 1/1-Step 3350... Discriminator Loss: 1.3091... Generator Loss: 0.9523\n",
"Epoch 1/1-Step 3360... Discriminator Loss: 1.8484... Generator Loss: 0.5126\n",
"Epoch 1/1-Step 3370... Discriminator Loss: 1.4600... Generator Loss: 0.7444\n",
"Epoch 1/1-Step 3380... Discriminator Loss: 1.4035... Generator Loss: 0.7333\n",
"Epoch 1/1-Step 3390... Discriminator Loss: 1.3388... Generator Loss: 0.6791\n",
"Epoch 1/1-Step 3400... Discriminator Loss: 1.6287... Generator Loss: 0.7695\n"
]
},
{
"data": {
"image/png": 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87NqNDSIiKtQg9xrCY2bK57SyquXBs7F4nwC8u6CIGTTESFMlscYx7ycD5Zyi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\nPvgREVOI/wFcxAwigFl7CQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dac678fd0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 3410... Discriminator Loss: 1.6047... Generator Loss: 0.9408\n",
"Epoch 1/1-Step 3420... Discriminator Loss: 1.6477... Generator Loss: 0.6902\n",
"Epoch 1/1-Step 3430... Discriminator Loss: 1.6805... Generator Loss: 0.7269\n",
"Epoch 1/1-Step 3440... Discriminator Loss: 1.3426... Generator Loss: 0.7700\n",
"Epoch 1/1-Step 3450... Discriminator Loss: 1.3337... Generator Loss: 0.9089\n",
"Epoch 1/1-Step 3460... Discriminator Loss: 1.7269... Generator Loss: 0.4634\n",
"Epoch 1/1-Step 3470... Discriminator Loss: 1.5530... Generator Loss: 0.6510\n",
"Epoch 1/1-Step 3480... Discriminator Loss: 1.4688... Generator Loss: 0.5716\n",
"Epoch 1/1-Step 3490... Discriminator Loss: 1.8038... Generator Loss: 0.7882\n",
"Epoch 1/1-Step 3500... Discriminator Loss: 1.4409... Generator Loss: 0.9086\n"
]
},
{
"data": {
"image/png": 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MNdZfqC3qssnlGzRByDMBlUh3ewNYprh6/IWKxuTnUDM/I0fK6VLLyt/nc33G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\nYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dac4f4358>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 3510... Discriminator Loss: 1.4427... Generator Loss: 1.1050\n",
"Epoch 1/1-Step 3520... Discriminator Loss: 1.4272... Generator Loss: 0.7727\n",
"Epoch 1/1-Step 3530... Discriminator Loss: 1.4006... Generator Loss: 0.8221\n",
"Epoch 1/1-Step 3540... Discriminator Loss: 1.6652... Generator Loss: 0.5984\n",
"Epoch 1/1-Step 3550... Discriminator Loss: 1.6726... Generator Loss: 1.0027\n",
"Epoch 1/1-Step 3560... Discriminator Loss: 1.5106... Generator Loss: 0.5861\n",
"Epoch 1/1-Step 3570... Discriminator Loss: 1.4999... Generator Loss: 0.6522\n",
"Epoch 1/1-Step 3580... Discriminator Loss: 1.5615... Generator Loss: 0.6770\n",
"Epoch 1/1-Step 3590... Discriminator Loss: 1.8390... Generator Loss: 0.6999\n",
"Epoch 1/1-Step 3600... Discriminator Loss: 1.7242... Generator Loss: 0.9474\n"
]
},
{
"data": {
"image/png": 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W2q6Z73VmjTH3CfzMN9Q4++hj1nm6BSFUllfVE7iXVTYGrzlQaepUZKrjhnri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\nVvGkS77mwPKwvagmAKhw1JV7nRVemkaYZOTKr1OihnfReyTmWGg7t3O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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dac367a20>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 3610... Discriminator Loss: 1.7396... Generator Loss: 0.7128\n",
"Epoch 1/1-Step 3620... Discriminator Loss: 1.3929... Generator Loss: 0.9645\n",
"Epoch 1/1-Step 3630... Discriminator Loss: 1.4905... Generator Loss: 0.6534\n",
"Epoch 1/1-Step 3640... Discriminator Loss: 1.5167... Generator Loss: 0.7207\n",
"Epoch 1/1-Step 3650... Discriminator Loss: 1.7349... Generator Loss: 0.6661\n",
"Epoch 1/1-Step 3660... Discriminator Loss: 1.7091... Generator Loss: 0.8844\n",
"Epoch 1/1-Step 3670... Discriminator Loss: 1.5579... Generator Loss: 0.8142\n",
"Epoch 1/1-Step 3680... Discriminator Loss: 1.4968... Generator Loss: 0.6100\n",
"Epoch 1/1-Step 3690... Discriminator Loss: 1.6704... Generator Loss: 0.6108\n",
"Epoch 1/1-Step 3700... Discriminator Loss: 1.4823... Generator Loss: 0.8318\n"
]
},
{
"data": {
"image/png": 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okzf0eRgO9NlpiGApwv9QyOtiWfdTBrWdkmQOBqAO5AhKO9D9JAk0V5VndL+t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\nwoMfEDCACA9+QMAA4v8l/LZoJekguAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dac118e48>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 3710... Discriminator Loss: 1.4687... Generator Loss: 0.8287\n",
"Epoch 1/1-Step 3720... Discriminator Loss: 1.3611... Generator Loss: 0.7837\n",
"Epoch 1/1-Step 3730... Discriminator Loss: 1.5581... Generator Loss: 0.7379\n",
"Epoch 1/1-Step 3740... Discriminator Loss: 1.2695... Generator Loss: 0.7258\n",
"Epoch 1/1-Step 3750... Discriminator Loss: 1.6435... Generator Loss: 0.6423\n",
"Epoch 1/1-Step 3760... Discriminator Loss: 1.4146... Generator Loss: 0.7574\n",
"Epoch 1/1-Step 3770... Discriminator Loss: 1.3162... Generator Loss: 0.9410\n",
"Epoch 1/1-Step 3780... Discriminator Loss: 1.5345... Generator Loss: 0.7912\n",
"Epoch 1/1-Step 3790... Discriminator Loss: 1.5952... Generator Loss: 0.8790\n",
"Epoch 1/1-Step 3800... Discriminator Loss: 1.3599... Generator Loss: 0.9576\n"
]
},
{
"data": {
"image/png": 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S13YZcwglGxAKWeZjhePTQ95eaGnxjLs0O9Ma/Wykx5mF3PwzX9LCn3jMtflf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\nTCDigx8RMYGID35ExAQiPvgREROI/wXbSyQ/US8LcQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dac358be0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 3810... Discriminator Loss: 1.2795... Generator Loss: 0.7788\n",
"Epoch 1/1-Step 3820... Discriminator Loss: 1.6969... Generator Loss: 0.8338\n",
"Epoch 1/1-Step 3830... Discriminator Loss: 1.4994... Generator Loss: 0.8638\n",
"Epoch 1/1-Step 3840... Discriminator Loss: 1.6924... Generator Loss: 0.7830\n",
"Epoch 1/1-Step 3850... Discriminator Loss: 1.5655... Generator Loss: 0.7393\n",
"Epoch 1/1-Step 3860... Discriminator Loss: 1.3982... Generator Loss: 0.8017\n",
"Epoch 1/1-Step 3870... Discriminator Loss: 1.6797... Generator Loss: 0.6754\n",
"Epoch 1/1-Step 3880... Discriminator Loss: 1.6183... Generator Loss: 0.7672\n",
"Epoch 1/1-Step 3890... Discriminator Loss: 1.4654... Generator Loss: 0.7202\n",
"Epoch 1/1-Step 3900... Discriminator Loss: 1.5022... Generator Loss: 0.7759\n"
]
},
{
"data": {
"image/png": 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ApDlka076fB2FsRKgqUMjBySs70URVSidLUvmZYAy3XIem0KJLYROncJzcCAkLOPFLDus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\noqkSP+yAXpH08wgkviKIukpXzNO/pgapJXGVFc1n6iLdu7oNO0q/iuo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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dac349358>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 3910... Discriminator Loss: 1.2944... Generator Loss: 0.8291\n",
"Epoch 1/1-Step 3920... Discriminator Loss: 1.3820... Generator Loss: 0.8784\n",
"Epoch 1/1-Step 3930... Discriminator Loss: 1.5773... Generator Loss: 0.7978\n",
"Epoch 1/1-Step 3940... Discriminator Loss: 1.6380... Generator Loss: 0.6990\n",
"Epoch 1/1-Step 3950... Discriminator Loss: 1.2866... Generator Loss: 0.8188\n",
"Epoch 1/1-Step 3960... Discriminator Loss: 1.5176... Generator Loss: 0.8348\n",
"Epoch 1/1-Step 3970... Discriminator Loss: 1.3513... Generator Loss: 0.7374\n",
"Epoch 1/1-Step 3980... Discriminator Loss: 1.3328... Generator Loss: 0.7456\n",
"Epoch 1/1-Step 3990... Discriminator Loss: 1.4493... Generator Loss: 0.7595\n",
"Epoch 1/1-Step 4000... Discriminator Loss: 1.7063... Generator Loss: 0.5705\n"
]
},
{
"data": {
"image/png": 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XRW7FyUi9cnzv9wGl1N9RSu0qpb4F+5aUUr+tlLrO/3afdgxnzpx9b9lJoP7/QUQ/9m37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\nA+ntssONSGYakE4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Yc2ttBR2RFOR7NMy81wN5dmqcwXk0kjj+4T78PniZfGxb6if2vDne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\nceJHRAwg4sSPiBhAxIkfETGA+B9RkNOs4Bii7wAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dac67d588>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 4010... Discriminator Loss: 1.4494... Generator Loss: 0.5850\n",
"Epoch 1/1-Step 4020... Discriminator Loss: 1.1800... Generator Loss: 0.5784\n",
"Epoch 1/1-Step 4030... Discriminator Loss: 1.5047... Generator Loss: 0.7578\n",
"Epoch 1/1-Step 4040... Discriminator Loss: 1.4166... Generator Loss: 0.9235\n",
"Epoch 1/1-Step 4050... Discriminator Loss: 1.3354... Generator Loss: 0.5722\n",
"Epoch 1/1-Step 4060... Discriminator Loss: 1.3027... Generator Loss: 0.8640\n",
"Epoch 1/1-Step 4070... Discriminator Loss: 1.4077... Generator Loss: 0.7505\n",
"Epoch 1/1-Step 4080... Discriminator Loss: 1.6606... Generator Loss: 0.5598\n",
"Epoch 1/1-Step 4090... Discriminator Loss: 1.6864... Generator Loss: 0.8527\n",
"Epoch 1/1-Step 4100... Discriminator Loss: 1.4432... Generator Loss: 0.6975\n"
]
},
{
"data": {
"image/png": 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K63NE9Id0ym462FCjN54+6yPevHk7Yzs1uWeMqRPR/01E/7m1to/C/dZaa4x5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\n1JTg7JgT2SSfJN7AxjKsTN6tsLleu34FrLrii8gB4CvAQ865+/FPjZ8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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dacac4550>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 4110... Discriminator Loss: 1.4610... Generator Loss: 0.5814\n",
"Epoch 1/1-Step 4120... Discriminator Loss: 1.3286... Generator Loss: 0.9355\n",
"Epoch 1/1-Step 4130... Discriminator Loss: 1.3846... Generator Loss: 0.7204\n",
"Epoch 1/1-Step 4140... Discriminator Loss: 1.6672... Generator Loss: 0.9865\n",
"Epoch 1/1-Step 4150... Discriminator Loss: 1.1974... Generator Loss: 0.9359\n",
"Epoch 1/1-Step 4160... Discriminator Loss: 1.4319... Generator Loss: 0.5810\n",
"Epoch 1/1-Step 4170... Discriminator Loss: 1.4379... Generator Loss: 0.8376\n",
"Epoch 1/1-Step 4180... Discriminator Loss: 1.6290... Generator Loss: 0.6633\n",
"Epoch 1/1-Step 4190... Discriminator Loss: 1.4695... Generator Loss: 0.9870\n",
"Epoch 1/1-Step 4200... Discriminator Loss: 1.3221... Generator Loss: 0.7868\n"
]
},
{
"data": {
"image/png": 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ASmnqSE8gXyXrc6OrqDFG2WwpHrsLZbfZkO/VGEjPAuBtngrye1TaD1L2zhfPe1uPb4z5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\nOh8qF537MlYU9rHh2mLXduYLnrJVX5abrNqMviwhGu/MFvZUzlGmp3C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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dace31358>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 4210... Discriminator Loss: 1.5551... Generator Loss: 0.8544\n",
"Epoch 1/1-Step 4220... Discriminator Loss: 1.7906... Generator Loss: 0.5292\n",
"Epoch 1/1-Step 4230... Discriminator Loss: 1.6138... Generator Loss: 0.8525\n",
"Epoch 1/1-Step 4240... Discriminator Loss: 1.3783... Generator Loss: 0.9272\n",
"Epoch 1/1-Step 4250... Discriminator Loss: 1.3710... Generator Loss: 0.7193\n",
"Epoch 1/1-Step 4260... Discriminator Loss: 1.4316... Generator Loss: 0.7570\n",
"Epoch 1/1-Step 4270... Discriminator Loss: 1.4212... Generator Loss: 0.9779\n",
"Epoch 1/1-Step 4280... Discriminator Loss: 1.5912... Generator Loss: 0.7956\n",
"Epoch 1/1-Step 4290... Discriminator Loss: 1.5320... Generator Loss: 0.7611\n",
"Epoch 1/1-Step 4300... Discriminator Loss: 1.5352... Generator Loss: 0.7894\n"
]
},
{
"data": {
"image/png": 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AKwTEa5zMN5DfuRB+qWSEnrRPxnt6fGPMPzDG7Bhjvg77lowxv2WMuSb/9h53DG/evH13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\nDCUlKeyGWve6I4lwYnZBA3KImNDElNdrnNhhGXN3HLAS6AUdk2RtP8F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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dad058e48>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 4310... Discriminator Loss: 1.2916... Generator Loss: 0.7880\n",
"Epoch 1/1-Step 4320... Discriminator Loss: 1.4958... Generator Loss: 0.8778\n",
"Epoch 1/1-Step 4330... Discriminator Loss: 1.4708... Generator Loss: 1.0361\n",
"Epoch 1/1-Step 4340... Discriminator Loss: 1.5519... Generator Loss: 0.7345\n",
"Epoch 1/1-Step 4350... Discriminator Loss: 1.4025... Generator Loss: 0.8023\n",
"Epoch 1/1-Step 4360... Discriminator Loss: 1.5092... Generator Loss: 0.8394\n",
"Epoch 1/1-Step 4370... Discriminator Loss: 1.4229... Generator Loss: 0.8124\n",
"Epoch 1/1-Step 4380... Discriminator Loss: 1.5185... Generator Loss: 0.5909\n",
"Epoch 1/1-Step 4390... Discriminator Loss: 1.3466... Generator Loss: 0.7556\n",
"Epoch 1/1-Step 4400... Discriminator Loss: 1.4597... Generator Loss: 1.0690\n"
]
},
{
"data": {
"image/png": 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sNLYU28EJ4gqARMFw9rZIKyegobwu8dJX17S89HCq8OpLO6ymcwClsV2JV6+3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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dad2cf400>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 4410... Discriminator Loss: 1.7616... Generator Loss: 0.9580\n",
"Epoch 1/1-Step 4420... Discriminator Loss: 1.4738... Generator Loss: 0.6393\n",
"Epoch 1/1-Step 4430... Discriminator Loss: 1.2484... Generator Loss: 0.5620\n",
"Epoch 1/1-Step 4440... Discriminator Loss: 1.2880... Generator Loss: 0.7840\n",
"Epoch 1/1-Step 4450... Discriminator Loss: 1.4303... Generator Loss: 0.9152\n",
"Epoch 1/1-Step 4460... Discriminator Loss: 1.3044... Generator Loss: 1.0829\n",
"Epoch 1/1-Step 4470... Discriminator Loss: 1.6106... Generator Loss: 0.5933\n",
"Epoch 1/1-Step 4480... Discriminator Loss: 1.4947... Generator Loss: 0.8435\n",
"Epoch 1/1-Step 4490... Discriminator Loss: 1.3264... Generator Loss: 0.8331\n",
"Epoch 1/1-Step 4500... Discriminator Loss: 1.4577... Generator Loss: 0.7298\n"
]
},
{
"data": {
"image/png": 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MgO4dKOKYXHreAVkzG7quFSD5DA0WQpGptkDmlNIDDT2Xy5IqQE1n0turtgf9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\nCmyQVQNyLzllD0RxGFh+7+mzVQNyRsPL5axluVciSPyAgAFEn915Dr1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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dac8b9390>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 4510... Discriminator Loss: 1.4926... Generator Loss: 0.6693\n",
"Epoch 1/1-Step 4520... Discriminator Loss: 1.5976... Generator Loss: 0.6750\n",
"Epoch 1/1-Step 4530... Discriminator Loss: 1.6050... Generator Loss: 0.5765\n",
"Epoch 1/1-Step 4540... Discriminator Loss: 1.5485... Generator Loss: 1.0729\n",
"Epoch 1/1-Step 4550... Discriminator Loss: 1.5785... Generator Loss: 0.8145\n",
"Epoch 1/1-Step 4560... Discriminator Loss: 1.3578... Generator Loss: 0.8214\n",
"Epoch 1/1-Step 4570... Discriminator Loss: 1.4673... Generator Loss: 0.7480\n",
"Epoch 1/1-Step 4580... Discriminator Loss: 1.5683... Generator Loss: 0.9356\n",
"Epoch 1/1-Step 4590... Discriminator Loss: 1.5348... Generator Loss: 0.9295\n",
"Epoch 1/1-Step 4600... Discriminator Loss: 1.4560... Generator Loss: 0.8204\n"
]
},
{
"data": {
"image/png": 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NkHfnnoK3FEqKNzd5XEoVPfaVa1wSHAR64f0DJbRiy2OcdnWKNJZstTEUW41B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\n3u4o6ZmX9RmLE96+XdabEkkOSB+IXeykU5vjKVgFpjPZhI9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winNuEUBEHgXuASZFJNVV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\ncj9BAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dad8ece48>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 4610... Discriminator Loss: 1.3437... Generator Loss: 0.8714\n",
"Epoch 1/1-Step 4620... Discriminator Loss: 1.2796... Generator Loss: 0.6942\n",
"Epoch 1/1-Step 4630... Discriminator Loss: 1.6742... Generator Loss: 0.8542\n",
"Epoch 1/1-Step 4640... Discriminator Loss: 1.5383... Generator Loss: 0.8454\n",
"Epoch 1/1-Step 4650... Discriminator Loss: 1.8187... Generator Loss: 0.6208\n",
"Epoch 1/1-Step 4660... Discriminator Loss: 2.4415... Generator Loss: 0.7599\n",
"Epoch 1/1-Step 4670... Discriminator Loss: 1.9543... Generator Loss: 0.7565\n",
"Epoch 1/1-Step 4680... Discriminator Loss: 1.8191... Generator Loss: 0.5288\n",
"Epoch 1/1-Step 4690... Discriminator Loss: 1.4574... Generator Loss: 0.6674\n",
"Epoch 1/1-Step 4700... Discriminator Loss: 1.2855... Generator Loss: 0.9943\n"
]
},
{
"data": {
"image/png": 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eOYBMwzxkljk2aDRUj5IpvACplga67TLKItCBi+eMhLonoNQDKC4UZDeeqsc/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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dad929240>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 4710... Discriminator Loss: 1.3984... Generator Loss: 0.7302\n",
"Epoch 1/1-Step 4720... Discriminator Loss: 1.6908... Generator Loss: 0.6329\n",
"Epoch 1/1-Step 4730... Discriminator Loss: 1.3791... Generator Loss: 1.0040\n",
"Epoch 1/1-Step 4740... Discriminator Loss: 1.7028... Generator Loss: 0.7184\n",
"Epoch 1/1-Step 4750... Discriminator Loss: 1.4108... Generator Loss: 0.7537\n",
"Epoch 1/1-Step 4760... Discriminator Loss: 1.3353... Generator Loss: 0.7356\n",
"Epoch 1/1-Step 4770... Discriminator Loss: 1.4164... Generator Loss: 1.1678\n",
"Epoch 1/1-Step 4780... Discriminator Loss: 1.4975... Generator Loss: 0.8875\n",
"Epoch 1/1-Step 4790... Discriminator Loss: 1.4364... Generator Loss: 0.7185\n",
"Epoch 1/1-Step 4800... Discriminator Loss: 1.4725... Generator Loss: 0.8623\n"
]
},
{
"data": {
"image/png": 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R4lrmM4HQXSrPBggcUQh6diE5rwvqTPJ5BFp3GbksO9BOJPTeckwI8Rk5DsprU3C/eUUE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\n19+DJqXnBsJKzp9NSM0mPL6zHg2n3ss+FUFxuDqr+3h2cHQCQBrq+h0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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dadda97b8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 4810... Discriminator Loss: 1.5693... Generator Loss: 0.6796\n",
"Epoch 1/1-Step 4820... Discriminator Loss: 1.4496... Generator Loss: 0.7525\n",
"Epoch 1/1-Step 4830... Discriminator Loss: 1.4801... Generator Loss: 0.5545\n",
"Epoch 1/1-Step 4840... Discriminator Loss: 1.4186... Generator Loss: 0.7224\n",
"Epoch 1/1-Step 4850... Discriminator Loss: 1.4451... Generator Loss: 0.7199\n",
"Epoch 1/1-Step 4860... Discriminator Loss: 1.3019... Generator Loss: 0.8858\n",
"Epoch 1/1-Step 4870... Discriminator Loss: 1.4198... Generator Loss: 0.9096\n",
"Epoch 1/1-Step 4880... Discriminator Loss: 1.2658... Generator Loss: 0.8868\n",
"Epoch 1/1-Step 4890... Discriminator Loss: 1.6038... Generator Loss: 0.6470\n",
"Epoch 1/1-Step 4900... Discriminator Loss: 1.4718... Generator Loss: 0.6067\n"
]
},
{
"data": {
"image/png": 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B+4xRJXq47ISIpbzTmRLrliSU/g5Zbrw7krEYQU5AiQtgHHYENdbbpu3KBVhN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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db5f4b080>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 4910... Discriminator Loss: 1.2905... Generator Loss: 0.9631\n",
"Epoch 1/1-Step 4920... Discriminator Loss: 1.5757... Generator Loss: 0.8546\n",
"Epoch 1/1-Step 4930... Discriminator Loss: 1.5008... Generator Loss: 0.8035\n",
"Epoch 1/1-Step 4940... Discriminator Loss: 1.5255... Generator Loss: 0.7468\n",
"Epoch 1/1-Step 4950... Discriminator Loss: 1.6217... Generator Loss: 0.5873\n",
"Epoch 1/1-Step 4960... Discriminator Loss: 1.3852... Generator Loss: 0.6521\n",
"Epoch 1/1-Step 4970... Discriminator Loss: 1.6474... Generator Loss: 0.6915\n",
"Epoch 1/1-Step 4980... Discriminator Loss: 1.3931... Generator Loss: 0.7564\n",
"Epoch 1/1-Step 4990... Discriminator Loss: 1.1192... Generator Loss: 0.7424\n",
"Epoch 1/1-Step 5000... Discriminator Loss: 1.4956... Generator Loss: 1.0168\n"
]
},
{
"data": {
"image/png": 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xqM+MQX3mTWkI8fEXXy7XXYO8/DePuAz29rZ6oYcPGREEmZJQOZT17t65RURE\nfUAWU/nu9q6SZruHSowlQljVW0ByCfl0946q+ywuAME2431NoTHHWMiryUTHElPMq+Lp+9D3z4Xx\nGut67OmBjvXxREqt0+d0P1LHkQMKm4me4xS8JkGGYD7iczre13De73zhj/i6WnfKdXsDPbejDmcg\nXlnR+3jhylXZRpHmzCBa5HG1M8h4nE3n/hLNj9FUlosZhvj4PIZy3nPt4N/BTuXxjTEx8Y/+H1tr\n/7ms3pEuOvRu3XS8efP2g2WnYfUNEf1DInrVWvs/wUe+m443bx9QOw3U/zEi+reI6JvGmK/Juv+C\nvotuOsYYMo7hsNKnDc6gcKonE2ykBq2ShbTLZwo/jRCCFoUXoQzT1TDu9XWb3VdYfcaOALYDhN8Q\n8czRUOF4KtOQGQh0TqWYBUUUb2yrOGhHSmsXq/p+nQg0G0Gr6Qp8PpTpDMK9gfS0s03NzFve1Ey3\n+itMct3fUYLy9Vf5VtWslt2utDTi+sat14mI6Pf/6GvlukHOUNVNw4iItvdV2HQq+RGf+aEPl+s+\n9mFePjjQ6+72FCbXI4a3GRCLA4Gs2EI6ARIydGMAUzZHgJpFnZ41IZWx7pZDzDtoyL51rEYiBHqI\nORxAwEWur+JY78+3H/JU6mjyVrnOQFHYhVWe2iRNJRaTakWODUQnZDSOJAdkBlmSM3mup8CFZbme\n21CmVdFUof5IWo4P5LPTymyfhtX/I3p8JqDvpuPN2wfQfMquN2/n0M40ZbcIDE1ceqS8cgw0ObSS\nvhtCbJ8KhWkuPj8DqB+EEnPHIp2a7nOpwftsgUZ+IVrnPYh7T6BRZCBs8tGxdueppxLvBtWYTFju\nI9CRfzCAFEuJ1c4g1XaUDeW8IYUYhB2PZDxSgHgLVT73LNI4clFTDf3lJY6vH2zrWL1yh6czP/yS\nij02NzQ9d1UUaF5IlIHfOeZ1t0FrPx2D3n2Fb9ooUBjcy5itb0EMO4MIy0juFdb4D4VRtwD1A0ht\ndfkTSFC7NNX+ymq5LgYhyqUlUWKKNYIykahNowrKOIXce5hKhRXdz8zw+qCmz9PlLZ76bRqoeIJo\n1JJ0C4preuztQ3l2IARVa+hYhnK9GXZRkjTeCcD1KWzv2qSHwPSPZDo5kmjFKUl97/G9eTuPdqYe\nf2aJHkpgvi2ljlNsdUz8Ro0S9R5BDp5ESl5nBZQtCgooQIgsQIJHingS8LCuxDapKwroj0ewzG/U\n7SP1fK2IpcMtAAAgAElEQVQGn8fyCiAHIaQORkrQ7ECr6ly8d4BFIPJGTqC0Mob+ah3hbZZBAebS\nChN0aRX08apKuq2Iltv9Y42V93rs/ReWlRCsb+j2dcnOuzRUj9MOePzXYFyubWq3m1Ff0AqU8n7j\nLSa+Wk31ZlfXNbtuqc7XMYZ62oEQuwW4nbQCuoPydwzZjYXlsX4I9/b6oqKVrRajoWZVEUHuVJem\nSjYGUg5bheKw9rI+YzsTzkcAR0yxoAMLSj0mh1buh5zHMe0rqum1+Jl4APkj66ua3bi6wGOcwvW4\nPnvQNZ1yyMRzZenHx3qcTo/HcjJ1+Sx0KvMe35u3c2j+h+/N2zm0M4X6eWio0+J3zYplQmoEOblD\nUV6JsQgHZLNjqWHHmP1A0mL3DxRSTSAGW5HCkmpV67jd6y7LgHCCtNuuKMzMUEkmFRLRKnE4Eoh/\nZ1u33QGZ6QWBkCGo+1QF9k/gGgwQONmzDE+nUz1OcoXTVAOo506bCmkXFkTKOdLCnV1J8731lq5r\n1HSbSsRTgCuXFZb3JP7e7EOOQE/vxaTO59SBdONul699CPLlOel5OsWhMXTn6Unnnx7oFBSEuQ48\n1seQRl2RNN7umsL27od0ShKu8THDKtbri37AMRxHGoJW2wrvr11SAjQkHq8ZEGgXV3m6M4qUvDuG\nWLuLxW+u6HWvtLl05f6hphW/efNN3WaLP78AbeJdfjoW2qA0+0SOedTV8b8rBVqOsC5800xv3rw9\nzs62d15qafNpfms9Q/yGimvqXTpjfttGob5NG1CoEUlBDirn1BsSYgFy78F9JeUOjzlMtwBMUkMK\nJ0IChRfI0usccZhvY1Mz3RJhe472NMR3V47z1o56od5M2ZW29NZLGkDgzNhrdKdKxIVwQfEvsof4\nGJQjX7dcHFIcayHMcKglqdVlPs5CS4/zUMi9L37l98t1dQifPfcyF/wsrKnHn0mjkf6xhjkPdsHL\nHUu76GO93g3JxKy11IMmEFNyLaT39zVzb3uXve52RxFXCBlumZQCDyC7sSrS1bXPfLNc9/JP6Bhd\nGPKzM7mthTSjLo9Rb6Shz4f3uFR3cEf3vQFFVIMjvi+HXb0/Vki1ekO/txTo9T6Qa/zaAz231RYX\n7rTqSkAuLSsaWZDwcFhgZqoj6LDsFkPX/HmS6n3sCCldh3bzpzHv8b15O4fmf/jevJ1DO1OoX0uJ\nXrosajKW4VG4/dXy8+GYoUwQKDzKSKFzRTLlUJTHlVVHgWZVtRcUviYVNz1QKFSIOGUBddhRqDCu\n3WISrFrV85gI8dgHkmo4YOJxta014ldB8HJhidenoHIT1Jg0Wl9SeB8BIfWpZxmy/pJVON165Qt8\nvK5Oiw5HGl/vSX12q6H7efEin0cdp0A3bpfLlYyPv7KiseVcCK0coOakp1OgqSgB0VDPvSEdaZJc\nx3dyrDdoLOM2HUDfOXLjoXAbhpUCIaq2FhEm83muXNdp3E/YbT2Pr32JiIh2B6+V64YjPs4UMglT\nmbJlmZ7jrTs6PSik4CrI9T72+ny9ux2dAgXgMwsZS8qVbDzsSq5CrlOGBkiVByLLNIWxHo0Z1ueQ\nI+DEQYmIMgnwL4HewSXp7BQ1eFoa39cxeSfzHt+bt3No/ofvzds5NHNacb73wz589aL91f/yPyIi\nopHA015Pi2MWmgxVV9a0GCUD3fGjA4Z5nWPdxpVs1xoaQ10AuaOkIuypwXwBZpMP9pXtPewotD4W\nTfWHBwrt3PJRT6FbKXCIUkmQshtIXHa9rVB/VTTrgwWNqTcrCt3uHDAcf7Cr17h9yPDTAgNcgyIR\nR9ZjD8mGfI6SVlAHU6aCYr11LeVtUsg7GGE9uEyNUIzzSNJUJ8DAxzAXa8n1XoK4+WVJXW0CS34N\nIiiXtniqNm1CUdKM4fQXvvSlct3Ovt6f7QO5f9CFJpHrwWu0MnVESasMUsAjl6s7p0/Py1gAg8uT\n/NECGTcaM5hmzDLM3eB9xqFOmyoS3WlBivdSQ6cPVzd5XNrQ6DSVhp1pzFPd//Gf/Tbd2T14V3F9\n7/G9eTuHdraddHIi25N201JUMNhT9Roz4M9WGvqmTyFemstLfXKsb85ESiHTQL1qEulbMpUyzRhK\nYwPLb1Tb0ld0DOXB7QaTcjUg9ypSTBEaJZf2BRnsQ2+83SONVzuUgXLfY/G0Bw/1uq+saxeaA4m/\n434OJVMuhXh/o6peoSKuPAAlmZrEeisgUR1CVtdIssAyQHyunDYAwikAGNFuyVjW4NgSX9+D8x0C\nU3co5B4ShpksX5iql1+BIp0DQRmdhjqurbXrRETUh/j6McqAS9cilHxdjhhBIjpybbstjAXKgbdk\nXLHMuwQ9MBYAEmjoxC9hm6p0awqg2mcEyNB1xYEETspEVrs71tj9DGDEssjC1wBRDaWbUCy9ELPs\ndFU6p9HcqxhjvmSM+bp00vlvZf01Y8wXjTFvGmN+zRiTvNu+vHnz9oNhp4H6EyL6CWvtS0T0MhH9\nlDHmR4nofyCi/9la+zQRHRHRL37vTtObN2/vp51Gc88SkcOlsfxniegniOjfkPW/SkT/DRH9vXfa\nV5EXNDxi2BpIwcNqRePIE2mmuH9TRSPrDYWD/UOGcyG0R15Z4WlBHTq5GIgPS+k3JXUFJImQV7Wq\n7mdhrFOKoUuDrOvnjZB3lEYKpQIhirqg5DMDoc+ZkEIjaAjZENy4DR1SyGoOwjDjazyCQhjXJ6AF\ncLhe0Xd206XNVhTW1wW+NuG6DeDTaS46BUDkuVHrj/EadJuVZb5nlbpOi7IZT4du31ei9OZDSMOW\noqXBUPd5c49Tg2tQix6taS7ErMPb3O5ogUst5T4CBz2dUhx0tDDI6eTXYGoTSYor3jPX9LTSAHjf\nUpJxWVRyCpgClZ1yqhBTB4h+JH0CaqDA027zdHMCxTx7x4+Oy3iG90RERlEMAM6jL1OAGhDejnwt\nrGhVYL+Ad7DT6uqHorC7S0S/Q0RvEdGxte5nRfeI22qdtG3ZSacDXUC9efP2/bNTkXvW2pyIXjbG\ntInoN4joQ6c9AHbS+dCFLRuLd4rFe1kgTBJXgmvHsAMlc1ZE/Qa7qSxuSA+4ipJ7WORg5O05J3Ps\nZLohcy8FrbZ6yufYBBWcOk1lP/qGrooiSzRWou4IiL4j8ZxjIHUK6zLH9BIHE73ejpRhzoWYXOgH\nSJ06EH1rUqi02FQP2pKijXZTrwuLm2Lx9PWWEpgz8R67oBqz39NrW1tnVLUB419N+P597CnNlrx1\nR9WBXnmTM8levQmhUfHo9zo6Vt2+HnOtzSivmWLWGo/HPpB7fQjJuQ4yAYxRJExfBB1sEjnfFWiT\nvbWmpbF18dozCE+6juXtBUWfudHB3BcUcmFTu8htrnBmZR+c3e17Wlh1Z4cR0nEHlJ+EnB2hruNc\nr0b+LoZYp9KSvNTcQ7bwHeyJwnnW2mMi+j0i+hQRtY0p80EvEtH9x27ozZu3Hyg7Dau/Kp6ejDFV\nIvocEb1K/AL4Gfma76TjzdsHyE4D9TeJ6FcNK/0FRPTr1trfMsa8QkT/1Bjz3xHRV4nbbL2jBUFA\nlarEN2NRopkqNGksMDxtLClRl0IsPRCYVoXPkwbDNANEETbVtA4yQ6ecXI4ZFhDbB7WdwMFw2E+r\nznC6yDRHIC4YoodjhYAPdzTO3xOSawbwayxQfzwDuAYEUE+mBxCSp1AuKIOYbh2yuy4sc6ZiWlGY\nu9zi81xZglwEIAerkhGWVpXUnAqEXFhS4vEizElqTd6mBnLVkdNLAJJwAaZVy9Lyug6NHr8wYJh7\nNNApzs1D1TlYkjbplS2FzjV5Xvb7CvWnAMddBifG112o3gBB1qzyM7a5rNmdG8t6/yopXxvqA9Tb\n/Lw1INtyAoU0WyM+pzXQNlho8riPQM2oXdfpxXqbP7+/o9e9LVoP21avaw/Udiai9DPBrEEZfiez\n/X520vkGcWvst6+/QUSfPNVRvHnz9gNlPmXXm7dzaGeasmvJkJXUWQcrR9AAsCnwq7mmEK/SUMY1\nkBhtBPHSUGrd56A+xJ4LiXnOiRA6+BpAOivkBpBj7pEhlYKPoqIw10haZrSmU4+HGwohbx0wI44Q\nfSSYdJJh/BYKOeTzBEpLcodf4RIuLupxnrrAuQxjkPNqCaxcbAFj3VBYn0rtPo5bIUx1cxH8AfQj\nCJz+PzSzLGZyTGC5U7jedJOnUPWpTqX2JU37awfQyPRQowf3pAPONNA4/tbq00RENIJ04ALPQ5an\nMx03K2NcA1mq5QUeg4WmjkUNogdO02ChrePWWubnMU51zDP46eSSG5BWQSBVxq1a1/OpAYRvyjJk\njVNbohAJ5H2MoWcDSXRomulGBz3+PKdQzsWLbXrz5u0xdra986yloXj4sXjdDApYggq/eaO6KsmE\nFfDu4vHDBJRMhIQxUN6I9ZHGeQUkPVwlx0nrSGstIqhpLeQNnkDBR0VQQAvENC+vKvm3Jp5mFyS3\nx1KchN2AZvmj5ZpIUjmPj4TeZYiltwQB2Uw9aE3UXjDbrAJEXug8PRQnJU4AMlVUAyHjMpstxJ52\nggJQKSnAe1qTjj2bGs/+1BX2nLc7Oi5d6Dm4I4mi3VzzAT58XdRpThCnJNKSZYy/x3IfV1rQNUc6\n/lSAjEwiyIis8f1r1tW7V6QvYAQ9DtNAt7cudwCLYeXcQlB+qoCaTiHPeLGgYxBmvDyF7MQdKH7q\nOyIcng2XGZgbJ//uPb43b94eY/6H783bObSzhfpENBQiJJM0ygoQdZGLocZA1AGEDwV6B9gSWxgv\nYyEHFlJ2KRPYmU/hc2mFDJjJ0qOwH9c51B+BjE0iU48xJA5gA8wFgfpHkBpsBOqjIhAWhLhrM8Dk\nuZr4hSq2/1bY7hSA0kT32RR4W4VtQij+cIcPII83lSlUGEMRDhKPMj2LAhx/uSd4z2A5cNMGgNZX\nN/jcn72nx3nrABqPSqedItF7NnVNIWGsCoD9uUDrGcz43BitLylsb0oRTgrClzh9c12cAnjujORe\nBHCfcdyM3J8CSeXCPUN4b6F/gkwd60AWT2Uq14RzawIx2ZNmmfkJU8N5xaB3N+/xvXk7h3a2vfOK\nouz8EUmb6HpN32hGvOUcPfGo9Nk8KVfMHlmFWXok2U7ue7wsWnn25IIG9xY14Nlciz/MCgzE+4cJ\nvP2jRxFKLdVhnkh5Knp8PA/n0GIoXgrkwjGbz8AFx+44ILvcajN5FMXouYDAlFHGCtCg/Ksrw7kL\nDuZPkjhES0QUAEEWAzlohFwsJorsGi2+55dbOi6Dgd6fO11eTiuatRaV5ad6OvYE9SADvsz1sltu\nA1lc4/NE0jNBAjlyzyDen0ePhw5WHxNAQqELr2FoFO6p3JcYno2KFIXVq3rPatCa2y33e4CEpD4Y\nMw1PY97je/N2Ds3/8L15O4d25nH8vtSbt4XUgOQ5Isk+mgtFzsFTgT0Ac62TQinmVAvhc162OZJ/\njhBEkgqhnRAzuE+BxrBJSeagbHI2B/f4vYpo2ZSXoNeQY3G+fLcOZJhrMd2FLK4cinzqIkveWIHG\nlY40mpvNQKxdxhBVeQohQgPovoNEqruQAsfFEV9AhgVw7iSEYQZTgYrA7cWGbtOO9ThvCXk1GGgm\n4pFIqudwvvicuPUVgLwrUtdfqWpuhZFCJdRvCCE+X8gDifkLpUQ2ksaQQxDKPUehT3sCuYdTx0Cm\nuibBzEg+dgJjkcb4wEk3pyHoN0hHnpYIoJ5WLd97fG/ezqH5H743b+fQzpbVz3M6lnTEqnQAKSwW\nO4h80AkQm4jIOohfPBqPnqvBD4Did1T4HCXuPtONMLXSyXXZSLeZyT4zSIt1kkwok4Wx/4qw/Qmw\nua6MGyEgdlsJJVKQAnTu5a6Zou57ARl8aSgZgzioi6tHKYhPmkdxoJ0bF9cRBgVFsZDJxewR/rsL\n0nWzQK+nEPhqsY2PXNsCpDrXI03pdTqiPRAu3T3k9F2MpWPhlZuqtWsK2xelkCkGWO/OJ6xAwRKk\n5zrBzDTBaJPAaLgnBdxTI2MUQkQnkEgNjpWFPAupQ5rrYRCJzgHmiqQQlUllPXZUGovOQUWmR5ZO\nh/W9x/fm7RzamXr8IDDUEmKnJp4ohreki+1jTLLAYpaJ68qC4pWZ7Ad6yYW6bKR9toGq28BIYQMo\n38wsquTw+7AzVDJtd5/VUe5sq7TgwTYLSRZ9LSnt9gFtSAZclOp+XGeVuTg+vKWrrugFvLsrTFlf\n0Hj05tVrun3C574DxR0zwx60ApmEGyAWWa9x2SmOFckykp5FhmSadH+Be+ZQzwiUlI6PlZTrbrPa\nTnaovQlnx9LFB45dSZDo4/E/hKF0HYYiuB4sd44FOS61QXFISmwn0EWpJyWtA5Cx6YaK4pbkuyuJ\nooBWymOVVIEQxKIwYQItuNFMUMAY+MCjno7Bg11+dg529XkyIjhqR4BooWQ4TnhcUQQ2ku5Trujr\nfSf3RGL7q8aY35J/+0463rx9QO1JoP4vE4tsOvOddLx5+4DaqaC+MeYiEf1VIvrvieg/MZzT+sSd\ndOIwoFUpHmlIU8c0xgIXiW0CCZXPFCZPpfvMeKrQrDtk+DMZK7ysgppOs8XwttbS+nWXkjqGpot3\nd7R7z7fv3yEiogfHqgVPgZuGKHnUKTg+vAdCkYf70N1FasMjKAJxyA+LcHA6UxUIORmB+KdMC66t\nq5gjQXHHzQc3+BpA2HEi7/Rj6IoTTt4ol19c5n29+Mwz5bqVi1fleNDgEnoG9CTd+n5Pj/P6Q9aK\nPwIRTANpqk0ht1qZQtbplMdyCNi43VIyLX/I9xfTksciaFkF0m2ELbFlCrW1vlKuszLuezAV6ws5\nuFDR2P5+R6cpf/zGm3zs8Svluo9cf4qIiD754g/rdTX0nuZTfo6w2eXtfVYP+s7dG+W6A+gjkEuu\nBBZBDQ7k2TnS5y6G4rOKpBljboUrmHK5JO93Pf7/QkT/GWkGyDJ9F510ugPfScebtx8Ee1ePb4z5\na0S0a639ijHms096AOyk89ylLbsoZYahhMpiCHc4jx8+JmTjmIsMdPqGffZo+E7JIJxnCterT7/g\n2k2Pu+oJbt64VS73BAlUEvUKM8noqqWqxbYo3VIWZnq+r/UUodwbMRII4BrcG3o+6wzCeTIcEyCu\nKoIColi9/N4DRRkdaT2+sqbv3vGMPdLBHe1pd/e+oprdm98hIqIBdM35rKCjFkhyh5BtdnzI2XPf\neuX1ct2rDzjMdjhSb9doKom47rTtYr2edsTrkjagGsh4jF7ncxqBJPdkxvtPQAMwj3U5FUTWhs5A\nVhBFBUJ3SyuM/JKKEqU9fHZEk++of7tc981v81g1a/o8vHD9up6vhOT2dlVafef+AyIiCoFE3FxU\nLclqnccoBmqsW+PnaWfy9XLdg/0HepxEfjNwTya5K056snDeaaD+jxHRXzfG/DQRVYioRUR/l6ST\njnh930nHm7cPkL0r1LfW/ufW2ovW2qtE9HNE9P9Za/9N8p10vHn7wNp7ieP/bXrCTjphEFCjwtDG\nqZZEpHAudjFuKBIvINY+2GHY88prCjX/5AaTS4OBQuyPXVMY9uLzHyEiovoEFXb42LOJ1nvv7Sqk\nGluejuwd6T7/4OvfJiKiIyBwrosM+NW6DuNmU+O/EykQ2ulq/DYW2I6AbC4eLeOCcM5xXEh2VSC+\nWxvx+f7+732xXPeluww7jwFqrjWV4Hx5g5ePx/r53i7D9kZD923g/vSOeZ99IMtCaXf+nTs6fkcD\nXb4kXWqu1tXHfGKFpyFX1xSCL6wqWbYU85QkG6BOAT8HTaijD2A86lKr3oQW3g3JwktgXtWVYp97\ng229bhD6jKW70lUgCccDPrcdeEYugqpPW3JSJn0l5RqJa5Gu1/DVr36jXH4gzT/XFvWePN3mfV5f\nVhI3LPR5yzPepgWqSpNcWsc7qH/KOP4T/fCttV8goi/Isu+k483bB9R8yq43b+fQzjhll6hZFeZe\nIK8JUdDSFeFAKu1I48ODMUOyyvJGue7FqnQ5wX7xkBtQq0gBhdF9GmFCC4D6KaQJxw2GX1GiTRKf\nnjKje3tH4d5CuyHXpamyCwBpn6pL9OCOQslRl78bQyx2DPisJqmrBaSETiSKijdrbUXHwIUCQmgw\nunaRIwCXqsqwv3jlSrn8nGSfrlVRZktSoid6PTRU1j+X8dpY1s5Bq1e3eNslnV69cvtuuXyxzefx\nVKqQ9bkVPuZyXe991NPjXGkylG0NdJpRdT0MUtCph0KZlqSxpiD0mUp6bwB5ErvSXDKt61hdXdAp\nx6oUP61CLomVRql7HY2kTHoaLRmP+DwmQ43TN2s87hGM/8FUU36rUlO/BEVFKyk/o5cSfVbrNb3P\nD/Z4epIs6vlWQ566TMtqNTqVeY/vzds5tDP1+IaIEikDDaUdSxChxxEiBDqxxFBWunaJvXsTstou\nCmmHpQJV8Kahi/XCPq3rclIoebfWArJsTYQqIW777BpnuO11tsp14yl7wIUUimymSuTd32OSavtQ\nvdTdE3qbISHjSM/cPpq/sFTRa2xBplsl5fP8uc9+pFx3b5+99shgXzhABEI+LcB+Cum9ZwEJmaku\nN6RN+QtPaTx6KuN+EUiqT1/WGHmWcZD8SlvPfc0KopiqhxyDx18UlHaxptssiyhrD7x3WtFnY0lI\nPXhcqJCszyrIVV9ZZ7QyhexC13+RiKgtrcAbgDqHogSUEgi2QkZjLseMQe5oeYH3GafqnRcbkPXZ\nl3EFD70oIpuLMyCDEx3/fMb7nN3XjRqi4NMrnCz76cx7fG/ezqH5H743b+fQzhbqG0OxEG+O3ItS\ngFySFgsh7LnGlaG8p6IUmhwK1DGRwkLs9JK51sIDJZeckk8IqbIt2GejKmKQy03YhuH2lWWFjTPZ\nd4JFRYpeadzjQo0AjjOTNNTZY0QjE1ePj0hf/jah6SWK6SRC/l0G0mdDUmUnFsYlVUibSsr0LFPy\ndCrQOIApUIDEo5xbCvXgVUnPzR+Xglzw9KIKadTxkMdtdKgbTUBwdFkg/AVQFGoJKVwDtI2CpInc\n03yk0Hg25GUUDGrXpdAFiq2wC1Aq6kEJ5C8cj3gaEsx0rFLSsYxyIRZhDCKZWrZAQae+oOO2Wudj\nFliEI/cxGer5jOBZbopQaAJ5Li73JTXut3M6sO89vjdv59DO1OMT2dK9uey8+ASdMpQxDsJHTzGA\ndtGuEAO/F4CaTiGlpJRpJYbrDZfAfjA0FIn3QFLI9T2Lc+gRJ17BTJXomUC2WU28XB+qQI5GvA0W\n4WDXlsK4Diz6+aKU4Fagffh0ogRnOHXdVIBklHOvQDtn1HIzkgmXjfTcadaT61JviEIzdUFFIYxV\nVRCXtVhYhZp9/HkM4196pZlew2SonrpZ44OuTeD+CLGYAgKpQxcaK4VbHVAh6nbYUydQzGMlHAhO\nvsx6IyJKXI/FmSLEcZ/JNgvr4NCUyLXHyNuKXmCEfRHh43K4sO+i0+kDHUT4eZS/nfwENJiWJe3e\n43vz5u0x5n/43rydQztjqK/y04HAxQhgmHb8xa4sQMI40USDwVqBaRnE6SdKTpEQMmWOAKmMMWZv\nNRpA5JHTCgDSR2q6Y2zIKVLbRa4wNQN1oKmoAx12FeZ2BZZjnN5iy+xEmkzCNV6SLL3msuYQZMD+\nGSEMQ2D8IlcEVVGCDInSTLrz0EShfiBE05xMNMS7HURHyeeqCFDaHK4BoLMRojAAfFrIGM6GkJUJ\n3WGCxDVU1XNP5DlILSgKwbPj5L0nMz32cMzHHo31eUhF1r2KLauBQAslVj+Z6rlNRnz/IswIbeqz\nkxZybiDO6vaegAgsto0yQv5ZuJ7AqejAszwFifG+xP5Rech1MEpdZyoP9b158/Y48z98b97OoZ0p\n1LdkKZPmlWXHmbkGmAKjE2BCoXgmcLrvIbD6wgwXE4VmBRSZFALHLW4jsLGIFF46DXwi7ZySY0cZ\nEW6MUSuA5HwDjUJYq7C/I2Kdh31d159JR565zF39R9/psQPTX1kQuaiWpsrmwKIbgYYmgFRnw9cT\noAzZXOGJdOcBptoIFDVQCJNDQ9CRREhQR93dnznJp7mmmg6+6nGyIU8veh29T0OQ2XJUdoisvbDf\n0/yEiA0RRbI6wYadgYP/Oi4jEWytwb1NDeZ98HeHUByWyTXEsaY/Z9jtVaB3f4Ljz+eem0fzUPjU\nSlq/XJcL/B+NdFwOjjQxZO+Iz2m/B5Jlch4Nmb4Gwel8uff43rydQzutvPYtIuoRN13OrLUfN8Ys\nEdGvEdFVIrpFRD9rrT16t305v1C2EYb21SXJBXF4A4FkV8BiIE5shUzLQV67gDc8iac3sWZa2ch5\nfCUOx+DZaML7nIJHsU3XWhs821TevHhseFvvHXD8d7+vpM8kdx4f47vQPrnMLNNbM02lAKOpmXkF\nfD4T7zWXvyBEnYVik7muOK59OHTNGUunon4HYvvAkx47EVLIjivbfWMm4ljJTCPkajHUdTMpeukD\n6TkYo7Amj00/03NbEKWf3kgLWCpAXNbtXL91uTYp4AL35sRbp0CgAWdHVoqSppBjEAtCzEG2vQ/K\nRqmgryn0GXSZiJhvEYCfzXIhPQmlzPnYvY5e4817qhT05gNGkJ0hENlyca06Pxvh98Dj/0Vr7cvW\n2o/Lv3+FiH7XWvsMEf2u/NubN28fAHsvUP/zxI00SP7+jfd+Ot68eTsLOy25Z4no/zXMDv2vopW/\nbq11Qu3bRLT+2K3dTqylsUCgWKAUArSk4uCiwh8UeySZHhQAy/Mhw6Ic4tHYfcd1KplCLfVMSKXj\nAyVO7j7cK5eDUNItYSqQCtSMoSuOg7Q5KK/MBlpX3uvzlKE/gSIdh4wfQ+5lFdcmG3T1Xd/oCur8\nQyGMfHUG8NXlE+RI6OFUYMawMq0qGeZmXV3o5EJj6PIj0xDsApQNXG09QlYdAyOpuhamQGMR6xyB\nrgCn8IoAACAASURBVMIM4vxD6cS5C5B2IWLCcQrjFkKOQSHEL34+LbvL6LpcnocJPCMhFMpYIf9m\nUDTk2qlnMCU7AmIyyPjzwRRgvUxnKrE+G6HBlvDu+ddtrOQOdKDfw/0d3f7BgXQTgiagoVQg1UVH\nYK6Z5zvYaX/4n7HW3jfGrBHR7xhjvoMfWmutMSc0XyfupENEv0REtLm8cNJXvHnzdsZ2qh++tfa+\n/N01xvwGsbrujjFm01r70BizSUS7j9m27KTzwtUtK7wNjeXNGxSYiSVvK3yHGJDFFjeZj9SjzMTb\nZjm8OYHgCMVLJpF6y/JlDmGr2qK+lEZdvpT9PehiErL3b7VVaSbN2DtMIQPt8Fjf1nsjvrYpeLNM\nvOX8W1I9yaDBJA1Gi9ZavM4YJSizAEpnJYRVFEqWZULeZQGSiFA+LEMUQw++RekuE8RKIjoPSKSK\nNnj2djZ822dE2VS9oVPwyYHwc8RXBvcJycyalOMuwz1bWr9ERETVfSW76pBtmRhXng1oUTL7sH11\nLsTwDEjlKYxRJuc2BLLShe4iCPkGiYb2rDyv1YaOW0XCazkhaQmITJ77COSzZ4KKjoEI3e/rckcI\n0MVFzRq82OIxuLDF4xPH2vPvnexd5/jGmLoxpumWiegvE9G3iOg3iRtpEPmGGt68faDsNB5/nYh+\nQ8r9IiL6P621/9IY82Ui+nVjzC8S0W0i+tnv3Wl68+bt/bR3/eFL44yXTlh/QEQ/+SQHK6ylkctu\nkph9AZluTngzBWLFCWPKQYmIKIMsPVeAgfXrQQj15JbhcRQoDAtFtLLRULJrEYQ1w4kj/zQtoT96\ni4iIrj2lZNiK7HIKU5MH0C76vjTQRFjvUD+uw7qKHfnHBRBm3FjiIp20og07efjFpJmmnertdHkC\nk5mOXw6x6Uzq30PIdKsKyRVAkQ3N9EwLUTGawrRqSny9WBxi8KkSuXCsbRrL1RdQHFMFmemDI4G0\nCyAOus4FSsnrsHPAq+7ZqVZ1P05vAQkvQ/NtpYnmUhBoLHH3KVx3LONbWIjj9/S5jYVYhPSS8gZP\n4TidgT4bJORsE9SMpjIch/C9Y8gBcVl5Q3jWr2xtEhHRU1evERFRmmJe5ePNZ+5583YOzf/wvXk7\nh3bm9fgO3GUCgSZQLOFgVgZQPwL2VetN8H3Fy6MjTXPMZ8qs1xoimQW13UUsnXQGypgmmDYrNd13\n79zTcwuZ6b945Sm4GNE07yuL/eoDnR7c7Ag0BmjmLgGhfgTs9ui6dLMpdGqSSHPJEPIKcqx/L+Qa\nQXA0DGXc4NjTgcLT7j6fZxwqU20bvM+kinoGujyU+P7egQZwMom6rG1pk8nWhqZ0lDJpI4XbLrcA\nIuVUreu1baW8HDZ1P/UmT9lQbgt7LsQyogn0aUik2CdGqTCJHNkTBFmJiMZOFwDGzUhhVoTlSagZ\nIbtCHQOnxT8c6rMxgIKotXWODqHmw9GIP7+/rc/QMTSDbUoUY2tZI0vXr/PzuLTE08DolHF87/G9\neTuHdrZluUVBmYtRSgaciZT8mErMeNzTNx4WNjipZxQ9jKX3Xq2mnms6BMQgb+MYVXtceWUKmXBQ\nctkXBi6CuGsgXiqMgSCb8rV0+3q+9zqKIg7HTkob8xLkD6xqQNvj4vPck+3TgEDWLCOP6eCGfm9X\nMw2NtEoOoKImEkQVQZZXCnFoVzY67iqRFM7EG2ZKIuZANHW2mVAcg0Bna42/G0CwfApKNMbyvRp1\n9Z71+05wFDLvCr3eFfFojVjvz1Tu+TrEygGXlHH5AtCiK3O1KJAqTN6cWhEgAiN5DZ2O5orsHvP4\nIhncbGr/QHfuWBBFkimKUthRouPflC5BBTzL+wc8vjvHkAeB6kCCcBYgEa7V4H1ai/jp3c17fG/e\nzqH5H743b+fQzhTq55mlwwOGNq7wpAZtmmPD8H/QURA3G2nBSChQ34DuflkPbkDUEBpozqS1dgb7\nsSFDqSmkkfYOFNJ2j3mbxZYSVnWBgL1DSGEVIcmdHYV4SaRQtFbh4/SBIHMzjhiKxJ+6pMd56kP8\n3b9mFco3XhGo31eI3R8o8ZWN+Jh1gMuZNMXMAWqaTMcoSBiqphoqp6kUE01gLLCOvpBCpTo02oyl\nNfewD1C/gEImIW9HA103tbxNHVJPA7h/cZXzFmJSqD/oO/Uf1PyH6xEYXAP1psjwd7HeZirTrxhS\nhBMQD00DEc6EHgWpQHTUcJ1OdXqXBI5c1c9TKZ6Jod8D5qT0D4XEnYI60IDHcKmprbWTVNOSowqP\n10JVyb18zOc5sHzPclAoeifzHt+bt3NoxmLN4vfYmtXUvnyNM422D5k86Y31jRc5LwiEBp5fLKGK\nJhSW1KRjTAPe2hgeKwQRgDOkqZA+fXjbjqGs1HW5ySGly/FzmKHmQicJhFAK7IqTOX1BfQtXJOy0\n3FJvd2VVvfdfeJkz1AYDJXim4nXbkN223lZPUBdysIBiIKcwU8X+chA6GkkJ6QjGwKWwGagQQg9S\nyP1pAMGWVBgFTCBDrQvZi1nuxh+UfmSoB3DsCagduf53IagmRbJ8cUvHbfdYCbjtI16u16AteJuJ\nxw4UUd3Y4VBkB0jNEYSMc9H+C8yjzxAW9jgkSURk5OEIkcMtLxcKoyCzL5d7NQWtwbFAigy+GMJ5\nuE5G+KwvtJjoW23w31//8jdpt9t/V41t7/G9eTuH5n/43rydQztTci/Lc9qXGGVHMqQQIroGmilk\noGEc34V9x0DuxULkYX1EH2rIHVRt1KF+WmDWEBRTEOoXoWtcqXudCCQrsBjIdavBunKA/Y7YCkBT\nwE1dDoA0qwBpN5L4cTYBOWrJMMyh60oB5FNUSPcdgIhjKV4K6wqXay0gsVzLa5hKOfiK6jMZjKWL\nQ2ODUSdNHQEkzQDWj2T8carlJKcj7CAE23cFhndAyWd5madDvR09t5v3NIPw9iGTtzUo0mm0efs9\nULR5c4dJU1T/mQAcn0j2KN77UggbzjeHHA9HMKeQuVeTDMMEGpViNVZUCseqOdHUSYb5AEDOhk6B\nStc5uXYr6zJP7nnz5u1x5n/43rydQzvbOH5RUEcg7lgYXQQmJStqAMoDjI4ESkVzclKSlglQfYYB\nV7cOwvyuQeMA9eGRkQ2cPBYysgL1sfmjq62HOLEBGOxSQS3Qvblo24+gic8xQP196ZxShZTSmiC7\nFDrUoJRVJqNoAJ5W5dgtbDwJAvJTGf861IMHwohj8mcfzi2UghtsmlmmMsM0ZLGp06pmnacH/RGc\nr0wpqrFC1hR08SWcTfdhOlRv8ja3sQjqvspwDQUeFzB9u7XL390FqH/k9BuwaSk8Y5ncH2Tb3WMQ\nAGzHH46V+zKDbVzHKET6AeRU1KUnQA16A7iUFgPwfga9EFwzUuzDMJHr7brpIIYO3sG8x/fm7Rza\naTvptInoHxDRi8Tvv79FRK/RE3bSKQqiobSJzlwnHfi8VNEBAi3EbCipuKmA54qlVncMcdUuFonI\n23wK3tLF71EdBT1AKcmC5NMJsf1S7huuwczF/oXEgjd06Ai/AouTFHkUom5TAU+cyHkaiCOnsE+H\nihLwHjVRr2lBdpwFr+o4yKiu2XGplH1ii+5mXwk2F1/GoZrJ/RxAr7l6W4tImlVexmKTnqCzAAk0\nICubNT5+uwZtyhO+xod7Wn7dGaonPxZh00mm57sj8tzYl88BNgPeNwBSriyiCvBzXsay22hOcPTR\nXBjXsQcAIuXwvbH0W6wk+iy75zoE0Xl4rEtZcxRNjcV3F4XLGTldXs5pPf7fJaJ/aa39ELEM16vk\nO+l48/aBtdOo7C4Q0Y8T0T8kIrLWTq21x+Q76Xjz9oG100D9a0S0R0T/mzHmJSL6ChH9Mn03nXTI\nlhC/RPXwuSMysIFliEUmgpsCIPecpvlkptuMIZbZSiSeWgWSS7avg1oLilK6bixzsVyBfgGksxYC\n27EZZYGkkYPGEKMurwFi+2Nor2yFpEoBbqcyShUYrSaIwTRS6b6DTSRFnyDBEYapS+o6rwDUNzKv\nwmlPBOm5rlMPCpuOLU+rJqBmlELabGWZl2uQD1CrMLOJzU0xzl+V7j5LLSBFpQvQMexnCITugSjV\nHEPzzZHcFySQAyE90wSmUi3omCT17a0VHZfltUU5B+h/sKtipzNpMhrBuLhHazKEfAHMFZHnYAzP\nbSpVPiFOZVEJyE1D4FkticWpa4L6/kH9iIg+RkR/z1r7USIa0NtgveWjPbaTjjHmT40xf3qGZQHe\nvHl7BzuNx79HRPestV+Uf/9fxD/8J+6kEwbaZLp0PvAycIs5FpvM0GM9mj0XiSbxFLwmet2avNnb\ndeiaI6QRhtkgGZC6Uz7mYAzexWW1AVHkHBYK7BTYLtops+jHFMq/sBBjBgilLqGyGLZypF61AqQb\n9LxzWYlJRbP04oi9PxZ5hKAAE8h3TQI6fkUZTyotgvLVUPaJSCgMEjk3UBGC++e2qWDXIik2QU8M\nEoJlfWsVuuJ0JJswmgslQgabkIyjufAXWwW2Wb3IZOfVj1wq1139oefK5Zc+8iIRET0jct5ERJG0\nHdo5UOLw5luvlcuvfvUrfGzopxfJWPZ7SkB2QZ1pKGQkPssOIaYYNgRdQfdIJLDNbCIFRBKEfd88\nvrV2m4juGmPc6PwkEb1CvpOON28fWDttAs9/SET/2BiTENENIvp3iF8avpOON28fQDtt08yvEdHH\nT/joiTrpEJmSJCtD5fBpUCJNgD8AXVxWEpIsjoiaAXTGYomtFY4jr29AFxrXBBFix4sNhcl1qW0e\nQ734a3fuEhHRjfuqjHNwzCRVpw9CkhOE+o/mJbgksTDAK1dbEIIO48S5kJ1JBAQlyEwnAqNDgOVG\nID6SkSFs7wpOCsgncN0lzZxEM0w55JwNaiQIi9VeVH2ACXapdLLX0OHFyV4HMJWyMEbucywG6giU\nR7IXzzI/AeJWpYvPRz6kvPNf+ZnPEBHRSx//VLnu2uUXyuWlBqshYc5Er8u5A23SNJVVq2NdF3Wg\nW7dv6fW4jjypjvkxQPhBT6TXgch2CqwGs/3wMXF1/1DD46aOeXE6iF/u94m+7c2btz8XdsYNNWzp\nwd0LGjONSgeJDSjgTe7e9iGE4ZxOXAU84EvX9A3/4z/2USIiWoQmBA51LNT1bby2orp3S4us+ZZN\n1ZPfv/sGERF94xVtQ/z1V+8QEdHXbiiveXNPM9hm+aPZiQ4PoMePwBPUxUulQPhZISgxmw97pEXy\nOZYEh7LPEMkwdJGuFsCCxznBDVhoeOJuBXp8I2HJRlPDfjFkCJblp+C9ExcatZhRp+cRyChVIeSW\nCsnbwXDdDNGKfA/G8mPXV4mI6N/7t/9mue6jn/5XiIiovXxZ9w0y6y7Vbgpl0Yl42Cb8XEyiCPGZ\nDd5XmOm4HOxxuE/pPiILCDKwTpIbx1fqBAC9ZhCOtQ4d4LMjy9acjCAfZ97je/N2Ds3/8L15O4d2\ntp10SEk9B+Hnm8w8WvQSQRZToy7xdyyDFcT7o89eKNf9zE9/tlzekF53lZZC/UpV+rBBLDyB3s5h\nKKo+ucK99jKTgxc318p1T29+g4iIWslXy3XHkKl10HctwfV83TQmw/gtXLCTEIfLplRKa+vQLSgC\nGOzKRQPQd46kFTiuQ9LO8W+IEI2M/Nz0C4uOhHVCMU5XQhpDHB+nNq74psCOSI6gA3hvIKrvOuBg\nzoTLszgcgTgllkjL3yZM+X7uL3+WiIh+5BOfK9ctrl4kIqIIVJ4KmDJkIoVuIEMwcRmaqCIEU4qV\nBSY286lOF2PZxsIzNAbRzziWQiUgKwuZ3hnIaAznxp//TpDIdDO2J8yO8x7fm7dzaP6H783bObQz\nb5PtsIk9AaJYBxsBRi1CAcXqErOvx8cKn9aXGGZ9/nN/oVz39DPPl8uhdB9Ja1ojXqlyiquL8xIR\nGXsC5IJCmVBSXNtLCvUvbzFs/NDmrXLdH6SqCnMsUB+nMy4deTQBkdFQl10MG1IMKBWInSTQOSZE\nCC/FHZAWG8iygaaZBEozLo5vsHtnKSl0Mmx0ED+YCw+E8n/IVQCxyEy6DWG+QOgUjgDS5gDrpxID\n74OuwmjCx8nAV2Hxkzv8Akw5rl98loiIGlWA4NJdx6Ig6wT0ECSSY1EjYczrctD+N3CNNYmcLMBU\n7EimHFjXP57qGIykNj+GnAfX2BULuEJ0zbI5RlXKvhFusnNKxO89vjdv59DO1OMbMqUOnStSmavN\nEKKjBvH1lUWNDzel3DO2+vmPvfRhIiK6cv1D5brpBHrrTbhIIgy0VNTFSbFIJ5rzjCKvDXH83jFX\nID+480a57uabbxIR0f0HnXJdPj0hc+/RRLa5WC1KjFclc89ABiCV5cjg7eYYNImLQ9cc4wp2YIDt\nnHd/NHPPOnIPuSPwSLkjX+HUAlFAMoDSsHhmPOXxx75xU/Gc3V7vxG1IEJfFXAbZPIbsQ5Red/Le\nC4B6kpSfHQN9+awgi2wG0ja5LsfiVvMCy2n7ct5Kzk0g67BwvREBNbpxG0PL9sOu7nPviPeZQJbp\nopSOQ+rFHPlX3r65ojAhi08gZt/JvMf35u0cmv/he/N2Du37QO6xOXIpAvKjWuXTQcnhAuDTcZ+h\nUqOhKZZ5g8m71+5r2mw90nTKK5c5bbO1tKnHlvjxpKsqKv2BttE+lKKMuw/ulevekCKdN+7puqMj\nLtoYHUGDyzkYLK2qdVWJvPMTODUioiWJCWfQdtoKQowgTTesQmcgqamfIESXIpNirsknxPkFBueQ\nmurSR5Hwm0GLbzeFSlpakBMIiRVCXX+UQ2pqV2rYMSYvxznuK1nmGn8SqXpNDciyiRQgJQnE1yGX\noSXnsbmkJG4s053RQI/T6/M93xvovTcgDb5Z52tLQz025UK6wU3LR1pn/3CXCd2be/vlujsH/Exs\nwzVOAn2uc+lk1AEpeNdBJwkf/U0QEUnn87nnqdSwcOK1ntzz5s3b4+zMPb7zbs7TxxBSazTYa1Qa\n6j36EPZyVacfffpquW7tEmfmfRXKZSfHN8rlH5GijvXNa7ofeXN2D9VTv3bjVrn8x2+8TkRENx7c\nLdfVKk5pZrFc114TZAGv2fRAVVZiObaZ88T52zeZK0oq1Wly9Q5ZII0UoM11DreuL8ouh4BausTb\n7451/Dod9T6bNfZsa01FT6urS0REVAdBvylAmLGgiCnck1mfl4cjVafpHel5uPLhjaVFWLcgf/U+\nY6jSFOL5MNRV8HNSB3KvAoVBi5KVeHVjqVxnhUjudFSS+8HBfSIi+qNbN8t137nxZrm8Ls/GTzz3\nkXLdtUuMFpuLiibyjiKGb732Fv+99bBctyfk7NEAEJUBLcgaPzurbZU/LwR9jYFURhLYhrw8hHvS\nl6xDxwW/n5p73rx5+3Nm/ofvzds5tHeF+qK192uw6joR/VdE9H/QE3bSIUMUOnljERFEqF8V8qoG\nkBbbHj91jQUQP/yciiNGAUPWKlS6DLsK7b7y1W8SEdHTV56G/fByLVWYddSB/nXSc208gFitwPGV\nhY1y3SWRnh7BNVgg+oYiADoGKO+EKicQDEfhzdDF6oGUCwQGR7GORQH6M7lsU19ROD0c8+c37+h0\n5Q++pvC22+Hcg09cVO2Cn/5hFpq8fAE64TT1mNmYr+cPRVySiOirbzG8feWhwvsFIB4/+SGeYj2/\nrvckdiRZobB9uarH7EmM3EKOgeOAG6Boc+mKCmI2ZQpVW18t17ntJz2dfh3v8nn0djQmv/2WnvvX\nbvMYfeerCv//1t/8PBERffazny7XtRp6Pcfb/LzcuKFQ/0g02meQ5ZiDqs+xzDcx07Ahv0aQm6Ck\n9qgaUgYkY19gf+4Uleh0dhqxzdestS9ba18moh8moiER/Qb5TjrevH1g7Umh/k8S0VvW2tvkO+l4\n8/aBtSdl9X+OiP6JLD9xJ53AGKoKbE1djBuFKGURW2PHgF2GuwzH/+gP/6xct92VooqZQqJPXbte\nLi8vMfR74y1l+tekNj+BHALUsb+4xnC+CBTmfvlVlty6tauM68ee5SnDR6VYh4jomU8C4/oHXKd/\nt6fbxIJe+5mmb6JQZCk4CimwoWgFpBDXtgG00hGYe/M7t8tVv3+TY8r3Jvq9hUWVm9rvcuTiVk/P\nY1fGEtIoqAG67k766ctvKKTtyGxot6/7KWKN8y8tX5PrUpi7vc33YpDpuLQuqZ4CDXga0oNCmYro\nCmwBs/5JiO7URVd+D/IO6hKJQej8J1/i9hB/cmenXJcFGh0YSCTmtfsPynV3DhjKxxWNgLQaOqUQ\nsp32Ojp9yCK+V8sXrpTrugOdBh4dcBTKAvyfhk5yTE94qabPYCBpydgJu9QkCL5HcXyR1v7rRPTP\n3v7ZaTvpFL6VjjdvPxD2JB7/rxDRn1lr3avyiTvpxFFoXdbWTDLyQqg7rEj212JDpbD70Cf4zV1+\nY65eVBJrc5Pj+BvLuu5T19V7XFjjMtq9Yy2k6R/z2zad6Rs6goKdl5/nst5nAn3D19bYu49J39DP\nX+Byz+c39BrWp+qRXrvNXmP/O5rtV01EbnqM5aUgGS1ZW6icE8eS5Qgx7CzX7fuHHEO/u6ux9KjK\n5/7iZc1fuLyh3mfvLhNjaaFedX1NSpgTHfMEJcglq/BZGOtcsuMuLKnCUdRQj39Jeuc9swxl0SP2\noHePNBbegMy9QOLzAyicCgv23s8uqXe+clnJvUSyBUPoXOPQZbWlx/7UR5mgS67rWBko4Opcv8p/\nd94q1738PD9jUQBkI6gHLYmiUwUyCRsi7vrc85oPcNTVc/vmK0yQBoVmDVaqfE+XF/R8qg3d53jA\nzysIUOk1lI31TvjwBHuSOf7Pk8J8It9Jx5u3D6yd6odvjKkT0eeI6J/D6r9DRJ8zxrxBRH9J/u3N\nm7cPgJ22k86AiJbftu6AnrCTTmEtTVzrYheXhXrkdenG8sJzT5XrWouagjl0LaRjLcJZbjHJst5W\nlZVLQIK5GgeMtYdSMJKPNb7bhG0uXhTiBgo1Lq29REREg5GSR67z9pamA1DtSKcPaw2GbAsQe06F\nzEyAwJwhPitTeqEUww1WpiAvivXc1rf42v/imo5BZ8TX25nocca5FpFcusrTqcWqKgrZjMejArHl\nag1q/IVQ/OxLmhPx9beYUNzaUgh+EYi6hQpfR7Op49+S4VhuKqRtQOpqUPAYplgUY/m7SwDb69D6\nPBUCNIK8g0ZDehRUdSx/9KNM/F7e12nG7QON408XePqw9Cltqvmia6oJqjs0U2Ly+gaf+4W6jtXT\nV5nrfvqCThdHS8rKXV3gnIn9vqa+rEiqdAL3/uGB5gv0Rbd/PAPVqidD+KX5zD1v3s6hnbECD5Gr\nODQnEPxLdX5b/9B1DTtd2NI3b7vNXioKIcQRsHdKQn3bViCkM+zy2zw2ui6ORHcNM+ZABScULefF\nJeiuY5wcOHY2YQ9QKRQ5YJFEKAWUVYgntYQAwnJkLNG1rs0zrIwEFYVQohxAn7xY0EoTyL/lKS8P\nZ/q9DDTqItH5iyyUhQ6kNxuEkyJAK2HIXndrXVFCLJDKkhKCdSCkUrkvoQGVmxrvf6WuXr7a0uV8\nKF7QaPgrFoRTr4ECT6D3InbqQzCumagvVWq673qVx/LCihKQrYYiDxf7awBCacg22ZGScxPw1DXD\nz8EmePymELKX24qE6heUtJ5YRpVDQJ2hhPbu3dNQ4oMdRSOj0aO0XvDEvt5t582bt3Nn/ofvzds5\ntLOF+saUKjBOzeQSwOnrG5wBtwoEziqo7dSFdIqAdDNyCShEGUNXnHE5tVCYlLg2NTWFYcWOQute\nlyHm4rLGiV0iXY55ShL7N5CBNpsquWclOy/AVt9C7s23B4cmoJK3YCCzzxWmWOj4ko/0mK54B7vD\nxFLrnsxANnxOjlq61YCAZGbHcr4g8Bjq+EcCiet4HuZRGe8Qu/w4gc6J5lGEEg9fWVboG+H0QrLQ\nQhQXFcUaLNzJYEpnpKEoerK+KCw5tSEioppMLyo1hfcRIH2XP5Fgyqjke/SPFYKPh5q2EgQyNQS1\nnKpMQ4BTplYLlKMMH7SZ67mNjzi/pAIKPDE8KDOZjqL8vFPrKQvBvAKPN2/eHmf+h+/N2zm0M26a\naSgTwcFiylD2mac+Vn7+/LPcyz4F7BVAzDKS5RTSWQNhjRHqByBx5CA+SjvVJL00WdYpw9ZUpwID\np24JsDJ2MBpirIWTohpq+mfnQCXA9kRosQ8dVAYiWIkiojHkMrhmmhbOJxNoHQH6LEB+ycg+Iyio\nCRM3LrANyDQWksswNzWRjjJYBGILPY9AxiCtKyNel6aQxurUI6yAEGiZoq07rUhuQIoFQJC66rTk\nl9e0EGYUcprwZKxThhnE0m0uDVUB605FZHOUKDMeySOfNvUanKwaEZGR6VsAWvvTAbP5nUOF+rOJ\n3vOZXONcI1R5NmoQaanFOi4TuV6cvkUi6hlm2GUVIjmS3l6DxqDFmI89mp62El/29UTf9ubN258L\nO1uPbwxl4qGn4ikOCs3CW9rk4pgY3tA5ZEsV0mvNYAZbyG/UABIDLBB5qbwda6kWlgROpjrXt2lj\nQWO9qZB/MXiCUAg4LKHNcyaXphON7+4danbcQynTHEBnn4G00Z7Bfuogez0T0hPLlfviuYJUx8pA\nH2075FhwANl8rp8eEocoI531eIxnxzrWLgehAJefQ387V105xbbSIoiZRiCPXYHzLHv06XlUUof6\ntECIoHNNbZHvxQoUSR2NeP/9kXr8MXTDGUk8vPj/27uSGLmuKnpu1a+hq2d3bMexjYckDCaCJIpQ\norBAAUSIECsWIMQCwQ6UEJAgEYuIJRJiWCAkRMQCIUCECCILMYVsMSQQyORgmzZud3pwT1Vdc/2q\nx+LdX/eYxO5up13dlXpHanXVr6r//3vv/3/Pu+/ec8niV8sV3WZr7q7j+2VPwfadpX5LtMy5Fp6U\nHQAADL9JREFUPmBSQWe5bMfm2IzFdd+OC0VjIOOq5p6n5CNmqk5ZYJOkyDvqJObrlxlmXq9lR869\ndW1u3AmVdAICAjZAuPEDAgYQvV3HT6WRVR33uOzp8eyaiUHGeV2PzhoN6zQsmaKtIoxxykI5I6U2\nbQ6Bpeokos5E6dgzrlHz9IodIislo3EFTRZKp43uJdQv1aLwXHWG1dfttwsLRvVnVv13l6ncc1Iq\nuU1r6uzcc/raxTY0DaXWLZr2cMHIhA6mqNpi4iCLaAoUN+zcK3NeI6BasW2RVsjhctsxOZdqmk8+\nd37W2qN6+pOkxT+ZtziMnFY64sCFrK65F9csASVuWTJWQc9jKLLpWVkdrTFNkWpNo/pJsRwhqltW\n0VUuSQ5NNBqLKfSa2HFXAYmmX4nQ6grl0zuqQHRu3l+P6+TETWLT6RK6LEw7rXS+XbV9NnUsGhSj\nweeW0/gI9v3V4qTIp34fm0Ow+AEBA4jeWvy0IDXmrXpuUSvppMwatjXd1mXsudWomDZakgrZaVPC\njT5Suf7c6vx89/WKWhXWhGs2/fNuftks9WslcwC9+10+LTgDs3yjSQQhLfPEDXXUUfRbiaScq2oB\n6mRdmnqiHbLEHKFW6ZYPZy1ClWpmpyY5y9raL0LLdYmyixOqhEPMZOmCX5qqsOVTZ6SjGn0gyeiW\ni/Qc7fMprb7Tmrd9S2T9v/eoX8JKEcPJqcVHbM69mJbHUnm/jJfJU2SfMsR601gPC09HqkuTpn4t\nqzOuuUYMMeMj5S5bCqSlRNFQOe7/nCoKTe23SM6/PGsS488v+GuHaxcmDLFEztM8s1J1ZrYp+rCu\nDLJYtX5JE4sbcr7f1yiBq1vyHVtDsPgBAQOIcOMHBAwgNkX1ReRhAJ+HZxQvAPgsgAMAfg6vzPMc\ngM8455pX3AmATjpCXRV10imv3HKQqr9kIk+pXMTU2Ohrsp5abRp1E60dwk6QpVVzsL2mSiuX6hQJ\npw6eVsGaPzlqUWKizq2FNaP/RRU6zNM0xFX9trWy0ftSbJ9rUBUaRM26SsPkoHH0pime2kWUb5+w\n8RbVScmkbJ9JdGKzYf3iNM8+QxFzpWVrTy1JICrYmntbxU4z45SYQ1RzQkVQD4+YGJMofV2iIpQr\nNG0ar/skrBz1daTJLMNjpquQyVOSz6h3DmYKptieKXkb1SJSW2uThkJSSpymNlWdihVLRqcLY57+\nx6S/IBRdh+j1ugspdTrfdMi0IW4nR96cFkp94bQJdF5c9tfdNPWLo2lVpNdRkxyUVY2mLHMQHqkh\npXTMGxRnEXcvp63l5W9o8UXkIIAHAdzlnLsNfmr1SQDfBPAd59wtAFYBfG5LRw4ICNgxbJbqRwCG\nRCQCUAAwB+A+AE/o56GSTkBAH2FDqu+cmxWRbwG4AKAG4A/w1H7NWWzhRQAHr7CLLjoiqGqu/IiG\nwx7ba1VvCurFTYOKVaaMhtU0fLRDntBaLSmwaMcZIaml48c91dxL9ChZvydWjmrZvLw5zfdvNOw3\n5aqn0RSBiWzsj10jr/A6HaeqB7hMWqv7n+g/0bSq/j5Pnv60ru03ic3l6ZEt+vyOKYffaUJTi8KF\nV0o2JenoqsDEuCWrYMh7vNPDliOeJ1mqSPXn01S8s1r3Hugc57eTuz1ZSUinSUxTpzOjUzZlGHmb\nXQfZSe89b7ds7EW95B2yVQ1KIILqGES0shErtV5asSlQNu+ngS2i3amc9UE71unbzIXuttVFv7JR\nbdp1h6r19VFd2SgvmQe/ouHEL06f724r1cxbv0+FUVnktabxGA2arqRI28DFvu0NunCT0G8Oid4M\nNkP1J+Hr5B0DcBOAYQD3b/YAXEkHzau6AAICAnqEzTj3PgRg2jl3CQBE5EkA9wKYEJFIrf4hALNv\n9GOupCP7hl37hH+itluqEHPEnrYdtQRtUo1px2T59GkekWOrplZs+rxFAHIq5NH9RwEAdZiVWtS1\n/VUqp83in0PD3rmVyth+Wlr7bXyC5Jsj/yBbuGTOrLOXqD6aWltOyMl0K57QE5qtuyaMSJoojCbX\ntDn1mNKMu4lKjddTi0bFLODKiln89Yoq/YhZ6uEJz8JqFFG37sxRio4fnzKpTBd1PfrIIbPe45RO\nm1R/aVUsQi2b9pZzaNLGPjNESVRD6tRrUFJRknpsh0a9YYakpQkuGXKAJg6vas2+d3HBp00vzVt8\nyP7DJhce63m+fOqf3W0vnfUls9vEPmMS+lxZ1/Hnst5JEk7VmOTMnMU3pPO+LwtZi1iMNU6jTvEa\nRTKWq0mad8uO3dC4kBF1wnIsx9WwmTn+BQB3i0hBPJ/4IICXATwD4BP6nVBJJyCgj7Dhje+cOwXv\nxPs7/FJeCt6Cfw3Al0XkLPyS3uPX8TwDAgK2EZutpPMYgMf+b/N/ALxvS0fb10L6iz5U9D1K19+O\nF7of19fPAACq00bbs1T9peM075wSJCINIx0jAc7T01ak8pyWi54YsTXh0VGlV03WmTf6lJRcHiMn\nlwx5it9JGf2srHjBxZk5o40X1oxO1xJHH7H6SHOphWh7nkQaU5ocwg6ybrFMWm52lP+eJOcIxwsk\nueokgjkxZtS60faUlgSOkNew5NFR0rgnh1ZOnaYj5Agdafn9TIxTX1G1odfO+rEsrtoU6MYp/92D\nt1J9hP+aus1Qyzu+mmWqAqSa9mlqY9rZ57WEWnfofLWvI+rMJS2eOjdrZdOP32KOxbz29ZH9dr0U\nL3qKfoY07leIgpc0nmNmgVR5lK7fvNcGzaWNhjfK/jzreXP4Jan3XK1piULAKzq1aV8W7q11AFTV\naJX0E66GELkXEDCA6GmSTiHncNvN3lo8CP/k3XPmt93Pq0V1vKzaymB6yaxPlOTC0HJeqp7UojOL\nc8O4VeJZUHWUuZI9WZtt74yZoCWokeHXy3jnODVT/S1NSg2plf3Tdr1iJr2Qs32ODfunb50yiMZU\nb3mYUl/fdogqrDTVuUeRe2ldysrwsh9VyGm1Eglrdu55axpTpZyhCTu3fUOqRUgS423415EjDToh\nPUBlSCmh5CXtw3rJrFmRUn3LVW1P1vZZafjXxWWzhuVFcyjmznnH2mrWGEpiYWsVSjNucxltTfBy\nNGbq6JuaoOhQrUaTpu+VyZI3VSvPVc1yTg4p04mM6RSrlDClSUt7h+04NWVcQ5SinI+M4XQa/nVp\n2Zhmy/n+KER2zWeIJWSVJU+NWv+PKHO88UbvUF0ktnA1BIsfEDCACDd+QMAAQrjI43U/mMglABUA\nSxt9t49wA0J7diveSm0BNteeI865vRt8p7c3PgCIyLPOubt6etDriNCe3Yu3UluA7W1PoPoBAQOI\ncOMHBAwgduLG/+EOHPN6IrRn9+Kt1BZgG9vT8zl+QEDAziNQ/YCAAURPb3wRuV9EXhWRsyLySC+P\n/WYhIodF5BkReVlEXhKRh3T7HhH5o4ic0f+TG+1rN0FE0iLyDxE5qe+PicgpHaNfiEh2o33sFojI\nhIg8ISKnReQVEbmnn8dHRB7Wa+1FEfmZiOS3a3x6duOLj/38PoCPAjgB4FMicqJXx98GxAC+4pw7\nAeBuAF/Q838EwNPOuVsBPK3v+wkPAXiF3vezluL3APzOOfdOAO+Fb1dfjs9117p0zvXkD8A9AH5P\n7x8F8Givjn8d2vMbAB8G8CqAA7rtAIBXd/rcttCGQ/A3w30ATsLnES4BiN5ozHbzH4BxANNQvxVt\n78vxgZeymwGwBz6n5iSAj2zX+PSS6icNSbApnb7dCBE5CuAOAKcA7HfOJeVm5gHsv8LPdiO+C+Cr\nQFe2ZgrXoKW4S3AMwCUAP9apy49EZBh9Oj7OuVkAidblHIAirlHr8o0QnHtbhIiMAPgVgC8550r8\nmfOP4b5YJhGRjwFYdM49t+GX+wMRgDsB/MA5dwd8aPhltL7PxudNaV1uhF7e+LMADtP7K+r07VaI\nSAb+pv+pc+5J3bwgIgf08wMAFnfq/LaIewF8XETOwxdGuQ9+jjyhMupAf43RRQAXnVeMArxq1J3o\n3/Hpal0651oALtO61O9c8/j08sb/G4Bb1SuZhXdUPNXD478pqN7g4wBecc59mz56Cl5zEOgj7UHn\n3KPOuUPOuaPwY/Fn59yn0adais65eQAzIvIO3ZRoQ/bl+OB6a1322GHxAIB/AzgH4Os77UDZ4rm/\nH54m/gvA8/r3APy8+GkAZwD8CcCenT7Xa2jbBwCc1NfHAfwVwFkAvwSQ2+nz20I7bgfwrI7RrwFM\n9vP4APgGgNMAXgTwEwC57RqfELkXEDCACM69gIABRLjxAwIGEOHGDwgYQIQbPyBgABFu/ICAAUS4\n8QMCBhDhxg8IGECEGz8gYADxPwKyjHoIjjw0AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dada0b630>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 5010... Discriminator Loss: 1.5876... Generator Loss: 0.8955\n",
"Epoch 1/1-Step 5020... Discriminator Loss: 1.5652... Generator Loss: 0.6562\n",
"Epoch 1/1-Step 5030... Discriminator Loss: 1.3265... Generator Loss: 0.8291\n",
"Epoch 1/1-Step 5040... Discriminator Loss: 1.6025... Generator Loss: 0.6956\n",
"Epoch 1/1-Step 5050... Discriminator Loss: 1.5548... Generator Loss: 0.7266\n",
"Epoch 1/1-Step 5060... Discriminator Loss: 1.2764... Generator Loss: 0.7391\n",
"Epoch 1/1-Step 5070... Discriminator Loss: 1.3527... Generator Loss: 0.8363\n",
"Epoch 1/1-Step 5080... Discriminator Loss: 1.5493... Generator Loss: 0.6342\n",
"Epoch 1/1-Step 5090... Discriminator Loss: 1.4803... Generator Loss: 0.7554\n",
"Epoch 1/1-Step 5100... Discriminator Loss: 1.6153... Generator Loss: 0.7942\n"
]
},
{
"data": {
"image/png": 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O5qKokioicLLKIajhRKDymkvIbA7k3WpfyLBVRT/dDir0OEVd/U6ncWdgn42g+CY+KuVM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\nNIf98Awck8gz0Yeil/N9LlQKe4qo7kKIcCAZnAb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fspMO0YnVfyubA+y5t8Mx1l0g00rp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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db66a1710>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 5110... Discriminator Loss: 1.6088... Generator Loss: 0.8132\n",
"Epoch 1/1-Step 5120... Discriminator Loss: 1.5672... Generator Loss: 0.9925\n",
"Epoch 1/1-Step 5130... Discriminator Loss: 1.3305... Generator Loss: 0.8971\n",
"Epoch 1/1-Step 5140... Discriminator Loss: 1.4021... Generator Loss: 0.7788\n",
"Epoch 1/1-Step 5150... Discriminator Loss: 1.3778... Generator Loss: 0.8807\n",
"Epoch 1/1-Step 5160... Discriminator Loss: 1.3363... Generator Loss: 0.9228\n",
"Epoch 1/1-Step 5170... Discriminator Loss: 1.6637... Generator Loss: 0.7810\n",
"Epoch 1/1-Step 5180... Discriminator Loss: 1.3825... Generator Loss: 0.7041\n",
"Epoch 1/1-Step 5190... Discriminator Loss: 1.2808... Generator Loss: 0.9957\n",
"Epoch 1/1-Step 5200... Discriminator Loss: 1.5101... Generator Loss: 0.7931\n"
]
},
{
"data": {
"image/png": 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q8Q0RBeLR6vL2CurqxVxG1wTIuRC02Oal9NN5eSLNTIOkKgpS/A//Yy3owAlJOL+gWYPT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\nQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db6b89518>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 5210... Discriminator Loss: 1.5796... Generator Loss: 0.6868\n",
"Epoch 1/1-Step 5220... Discriminator Loss: 1.4450... Generator Loss: 0.5678\n",
"Epoch 1/1-Step 5230... Discriminator Loss: 1.7324... Generator Loss: 0.7932\n",
"Epoch 1/1-Step 5240... Discriminator Loss: 1.6043... Generator Loss: 0.9452\n",
"Epoch 1/1-Step 5250... Discriminator Loss: 1.5204... Generator Loss: 0.7910\n",
"Epoch 1/1-Step 5260... Discriminator Loss: 1.4736... Generator Loss: 0.7656\n",
"Epoch 1/1-Step 5270... Discriminator Loss: 1.3685... Generator Loss: 0.6641\n",
"Epoch 1/1-Step 5280... Discriminator Loss: 1.3507... Generator Loss: 0.6822\n",
"Epoch 1/1-Step 5290... Discriminator Loss: 1.4663... Generator Loss: 0.8238\n",
"Epoch 1/1-Step 5300... Discriminator Loss: 1.2868... Generator Loss: 0.8053\n"
]
},
{
"data": {
"image/png": 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eht+CslzD3R//CRH9Q2vtr8rqh9JFh96rm443b96+s+wkrL4hol8golettf8L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\nAjoQ4cEPCOhAhAc/IKADER78gIAOxP8AvfIo/o7NTlAAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbce5b5c0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 5310... Discriminator Loss: 1.4377... Generator Loss: 0.6657\n",
"Epoch 1/1-Step 5320... Discriminator Loss: 1.2514... Generator Loss: 0.8370\n",
"Epoch 1/1-Step 5330... Discriminator Loss: 1.3734... Generator Loss: 0.7236\n",
"Epoch 1/1-Step 5340... Discriminator Loss: 1.5389... Generator Loss: 0.6186\n",
"Epoch 1/1-Step 5350... Discriminator Loss: 1.4716... Generator Loss: 0.7952\n",
"Epoch 1/1-Step 5360... Discriminator Loss: 1.4496... Generator Loss: 0.8589\n",
"Epoch 1/1-Step 5370... Discriminator Loss: 1.2425... Generator Loss: 0.9591\n",
"Epoch 1/1-Step 5380... Discriminator Loss: 1.4800... Generator Loss: 1.0139\n",
"Epoch 1/1-Step 5390... Discriminator Loss: 1.3756... Generator Loss: 0.7858\n",
"Epoch 1/1-Step 5400... Discriminator Loss: 1.5945... Generator Loss: 1.2073\n"
]
},
{
"data": {
"image/png": 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/BFoAnfOapbc05fs/mujyqz8QRZwqyIqv6lLNdfcpQGg1laXlDIqtYljOVIRo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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db5bfd8d0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 5410... Discriminator Loss: 1.5085... Generator Loss: 1.1527\n",
"Epoch 1/1-Step 5420... Discriminator Loss: 1.3853... Generator Loss: 0.6506\n",
"Epoch 1/1-Step 5430... Discriminator Loss: 1.2997... Generator Loss: 0.6286\n",
"Epoch 1/1-Step 5440... Discriminator Loss: 1.4468... Generator Loss: 0.8861\n",
"Epoch 1/1-Step 5450... Discriminator Loss: 1.3339... Generator Loss: 0.6909\n",
"Epoch 1/1-Step 5460... Discriminator Loss: 1.3680... Generator Loss: 0.8333\n",
"Epoch 1/1-Step 5470... Discriminator Loss: 1.6801... Generator Loss: 0.7344\n",
"Epoch 1/1-Step 5480... Discriminator Loss: 1.4616... Generator Loss: 0.6459\n",
"Epoch 1/1-Step 5490... Discriminator Loss: 1.4658... Generator Loss: 0.6166\n",
"Epoch 1/1-Step 5500... Discriminator Loss: 1.3914... Generator Loss: 0.6666\n"
]
},
{
"data": {
"image/png": 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5jpEtlvVSplDIkUr6aGlNoZ3LB+hahVT9kcJX25B2xAAHzz3N0O35r2oXmVdf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\nAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db7b96048>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 5510... Discriminator Loss: 1.5045... Generator Loss: 0.7602\n",
"Epoch 1/1-Step 5520... Discriminator Loss: 1.5775... Generator Loss: 0.7188\n",
"Epoch 1/1-Step 5530... Discriminator Loss: 1.4987... Generator Loss: 0.6459\n",
"Epoch 1/1-Step 5540... Discriminator Loss: 1.5860... Generator Loss: 0.6320\n",
"Epoch 1/1-Step 5550... Discriminator Loss: 1.3267... Generator Loss: 0.7290\n",
"Epoch 1/1-Step 5560... Discriminator Loss: 1.4017... Generator Loss: 0.8656\n",
"Epoch 1/1-Step 5570... Discriminator Loss: 1.4532... Generator Loss: 0.9305\n",
"Epoch 1/1-Step 5580... Discriminator Loss: 1.3911... Generator Loss: 0.8586\n",
"Epoch 1/1-Step 5590... Discriminator Loss: 1.4204... Generator Loss: 0.8865\n",
"Epoch 1/1-Step 5600... Discriminator Loss: 1.5059... Generator Loss: 0.8704\n"
]
},
{
"data": {
"image/png": 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3b99eO/YP3xjTIKL/k4j+U2ttHzPPrLXWGGPv9z1sqFEuV+zeXQ5JzIf8RrTw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\nJNoKnQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db5cd0fd0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 5610... Discriminator Loss: 1.3622... Generator Loss: 0.8729\n",
"Epoch 1/1-Step 5620... Discriminator Loss: 1.6957... Generator Loss: 0.6604\n",
"Epoch 1/1-Step 5630... Discriminator Loss: 1.6844... Generator Loss: 0.7867\n",
"Epoch 1/1-Step 5640... Discriminator Loss: 1.5988... Generator Loss: 0.8483\n",
"Epoch 1/1-Step 5650... Discriminator Loss: 1.6001... Generator Loss: 0.8210\n",
"Epoch 1/1-Step 5660... Discriminator Loss: 1.3692... Generator Loss: 0.6221\n",
"Epoch 1/1-Step 5670... Discriminator Loss: 1.2333... Generator Loss: 0.7121\n",
"Epoch 1/1-Step 5680... Discriminator Loss: 1.4341... Generator Loss: 0.8165\n",
"Epoch 1/1-Step 5690... Discriminator Loss: 1.4222... Generator Loss: 1.0732\n",
"Epoch 1/1-Step 5700... Discriminator Loss: 1.5038... Generator Loss: 0.6557\n"
]
},
{
"data": {
"image/png": 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MuVvTNnSp7ewx+TqA4hhNOWawqxGLIYaoSYTaBFKgpy5tF3ioSkVdbp06k2AT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\nhTmNDBOKHGuZ9DV3t1+9lt/yBrt3TY4B9UF/18ZvkKpLk8pBb2g1nG2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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da74a0cf8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 5710... Discriminator Loss: 1.5134... Generator Loss: 0.5332\n",
"Epoch 1/1-Step 5720... Discriminator Loss: 1.6874... Generator Loss: 0.5323\n",
"Epoch 1/1-Step 5730... Discriminator Loss: 1.6629... Generator Loss: 0.6543\n",
"Epoch 1/1-Step 5740... Discriminator Loss: 1.1474... Generator Loss: 0.9340\n",
"Epoch 1/1-Step 5750... Discriminator Loss: 1.3726... Generator Loss: 0.8105\n",
"Epoch 1/1-Step 5760... Discriminator Loss: 1.6248... Generator Loss: 0.5390\n",
"Epoch 1/1-Step 5770... Discriminator Loss: 1.3388... Generator Loss: 1.0406\n",
"Epoch 1/1-Step 5780... Discriminator Loss: 1.4832... Generator Loss: 0.8520\n",
"Epoch 1/1-Step 5790... Discriminator Loss: 1.4594... Generator Loss: 0.6703\n",
"Epoch 1/1-Step 5800... Discriminator Loss: 1.5462... Generator Loss: 0.5732\n"
]
},
{
"data": {
"image/png": 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mwdCt4lvyA6aZEhxblrjQEDeVBWamKfqijOPBm9nGZGskVvj4KoS0XNi2bFr5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\nYgHeQyRcyVA/gCjHkiP3ChA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G0p80lt/HjMtn59CPmFHPNDuJGh9lbsZ35uwCmvvhO3N2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\nr96otnvXXjHHvC5E6O4V08+1vyTo9aNXBCn960x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G9WCLhRsh7sD69lFC/Na+nKc/eI2I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\nd6Ys8d1XaxTHt7zamRqlaNp1cEKkxssVNqHJix4X9LDntjDiCkdKTR8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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da736b978>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 5810... Discriminator Loss: 1.4532... Generator Loss: 0.7959\n",
"Epoch 1/1-Step 5820... Discriminator Loss: 1.3183... Generator Loss: 0.7068\n",
"Epoch 1/1-Step 5830... Discriminator Loss: 1.5936... Generator Loss: 0.6918\n",
"Epoch 1/1-Step 5840... Discriminator Loss: 1.5260... Generator Loss: 0.8292\n",
"Epoch 1/1-Step 5850... Discriminator Loss: 1.3679... Generator Loss: 0.8010\n",
"Epoch 1/1-Step 5860... Discriminator Loss: 1.3761... Generator Loss: 0.8645\n",
"Epoch 1/1-Step 5870... Discriminator Loss: 1.2885... Generator Loss: 0.8227\n",
"Epoch 1/1-Step 5880... Discriminator Loss: 1.5387... Generator Loss: 0.7631\n",
"Epoch 1/1-Step 5890... Discriminator Loss: 1.5974... Generator Loss: 0.8087\n",
"Epoch 1/1-Step 5900... Discriminator Loss: 1.6992... Generator Loss: 0.7804\n"
]
},
{
"data": {
"image/png": 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29H5WnwcPwpy+7N+DgiZLgCYAMZIYSVM5d/w1hTIjCWgAxvo8We9vwPfWJKt1rq3h0rgN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\npKZAqu4aQAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da72154a8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 5910... Discriminator Loss: 1.7040... Generator Loss: 0.6521\n",
"Epoch 1/1-Step 5920... Discriminator Loss: 1.5462... Generator Loss: 0.7267\n",
"Epoch 1/1-Step 5930... Discriminator Loss: 1.5583... Generator Loss: 0.9569\n",
"Epoch 1/1-Step 5940... Discriminator Loss: 1.4782... Generator Loss: 0.6528\n",
"Epoch 1/1-Step 5950... Discriminator Loss: 1.3296... Generator Loss: 0.8029\n",
"Epoch 1/1-Step 5960... Discriminator Loss: 1.5989... Generator Loss: 1.2280\n",
"Epoch 1/1-Step 5970... Discriminator Loss: 1.2882... Generator Loss: 0.9308\n",
"Epoch 1/1-Step 5980... Discriminator Loss: 1.3564... Generator Loss: 0.7141\n",
"Epoch 1/1-Step 5990... Discriminator Loss: 1.6733... Generator Loss: 0.9728\n",
"Epoch 1/1-Step 6000... Discriminator Loss: 1.4325... Generator Loss: 0.7974\n"
]
},
{
"data": {
"image/png": 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cgCkfp4BMthHITOdTJnHH83o9oYxzPNYsvCW4F7F4+gAQSiFjijDDD8JeY5FEH/cUDRop\n4Q0ANY77EkqEfTOu2iEyzPR09weeISTdjIwDE0ZL+hiRJBC2LrR30j4MbbZhnJFkUTYhAzMO8ME/\nvb2nxzfG/G1jzJYx5muwb94Y85vGmLfl37lnHcObN29/vOw0UP9/IqIf+5Z9v0BEv2WtvU1EvyX/\n782btw+IvSfUt9b+njHm2rfs/gki+mHZ/kUi+l0i+vn3OpYhQ4nIGx/scKFBCPHzV27cIiKiFggZ\nWiCSnJCgmR6H5QHgLAyN6tcRzom09Gww9tjmTHGN/DuFL41GDL2mU1VEqQwU6ncXGdJeWlFVmHuP\n7h87toU56EiWWALXuFDh8V5dUqnxhbZC+EiqeKYwByOBotMhLBlChY1NgdENA/Xi2kam3JcBaTeR\n2u8BwOlejwnZYKrnqQN8rQohiDkGHSl2edgHaXW43k5Dci9AYWcqy6oEFW0gQ9Mp0KQjXZqM93hs\ntTpkZXalAAsgchhg3ocQyxbXi7I0BD+JBKjrUBQA2ejI4hwzNGe6I8k2FDc5ItDC8qrR1HvWkpyM\neVjm1aSo63kb4X275N6KtdYpTjwhopVn/bE3b97+eNn7ZvUtxw+e+sKZ7aQzeNqfefPm7Qzt22X1\nN40xF621G8aYi0S09bQ/xE46yysrdl3EDvdE+/5DCxqTvHTzGhERZZAmuttXGD2WPmOjVGP/JB1p\nXLSAiGgOClPaAosqIEFVNicEGDsFnfqBdOLZ31fN8/1NTrvdfbRe7uvtS2+AVOuju119l1baDM0/\n+iHVFFh/ws2Gpjnq70MTREmhXYb+gJclFt5qgtwTdKuZCGy08GLdFTi+19fea0OQrVqcZ02DF2/q\n2C6ucgFLDdKBM0iP3tni6337nfvlvof3ebtS6N9dWdR7sSbXEYPg5doqL30eQ3/AByCPtT+U2P8C\nwHGpiZ9hsWGJ5PoHpANdcgz7vB0lmv9AkuI6wSjPSJdnlUjEQSGJoyLFWnEM6dpYey/PEYT5yyah\nYxAHxQjWcI+La8ZDfb6p7Eak12jhPtc7orHQ1udgruEk1GSZcbpy/G/b4/8qEf052f5zRPR/fpvH\n8ebN2/fA3tPjG2P+HjGRt2iMWSei/5iI/hoR/Yox5meJ6D4R/eRpTpZOU3q4zh7PKbPcvqRKKIvi\n/TPwTMMRKLcIybJ/pJ5tY4e7sBagWHNhXhV6bt+6QUREl29fL/dVxKO5MlMiouGBevcnjzaJiOjx\nPRU6nIqYJGZv1SXHwDTUO5sJeK4NRjdrizrNXTn3zqGWVtqZgh32HtdXlRC86oqBgFCqgghmLPH5\nEJRxRkKWjQvt3pJCF9aDEd+Hx1Y9ZEeknluRUjbpgX5/e52R1t66CoqmZZ83ncv7R+rFhnJ/Fhb0\nnrjMyBqU5T450Jj+npTtHkARz1LEJBaWrBJkFaaCoI5AzeiJdJc96us1ttuMaoaHilDCrl5jTTIM\nK3V9xuaW+PudC5AFWVEU4UqXh9Ap5/CAv58OoD9jruecDHhsg5F+ZyxIMwVp9SHIqDcbHL+fg+f7\nipQZR64Y7ZQu/zSs/k8/5aMfPdUZvHnz9sfOfMquN2/n0M40ZddQQLHEklsCW65BC+M50ZQPI4Vw\nNajJTiVXN6woeZfUWTxxCrC9mUArZREo3G8oBJqXhpVjKBI5XFfCKhSo1YKOPZmkvuYpkDU9hvUJ\nFlqAOtCgz59XIoVucy2GiLsAhzGfoC4Ckkvzmp5bldTWSgWIQyi+yaXIZ5jqMU3BY19oaHpnAwQk\nD/cYgvfWlfw7qMp1V5TEenhPtQQe3nmXiIjGfV3OjFIe204P2mlPFW7X1zj9+sK83rNYul0uAUk1\nhGKUoUgOGRACJSE9IyB+eyNYugi5dwTkXk80AFagoGn50jUiIkpjPfe0rvNiyznSn8bBI17aGNAZ\naCyp6tJEzt3fU7LSpT0XAO9TzA2o8JjmW5qeHsgysg/Pxs6ezv9IjjWBtuwt0V1oC3m6BffmWeY9\nvjdv59DO1OPHUUyr8+yhwyp7vvkFzUarthxhom+0g4Odcvv+fX77vXF3u9zXH7H3mJtT5PChD98s\nt+e7/AbH7Lp8yuGmMRBsQ2hXXO8yedLbUBLrm2/f4b8DL1ORwp7IKEK5cU2Jvvocv42rB/p+bTR4\nygMIBxVQ/THXZk/QBinnTEKa2RSKUqAQZncgLbFJx9HosCcZgZfqpZDZJwRqAiHLb36V5/Vg41G5\n7xtbSk5VRKfvynWd36tz7Mlf/1JZykFf+eqXy+2lJiOTy1Cqm9R53hpNkMceKVlmh4F8rl65I6Gs\nJiCYgyMdmy2z76CoS6DUXEuPPdzn5+n1u5vlvqNE9fXmLnB489VXP1Tuq0oBUu9AnzvUL5xI++oA\niNJqlY+5saGh569/TVu5373LxPGHbirp/JJsN7qKGudXlcjb2GZU9GBLxz6UVuNtKdme6Yz0DPMe\n35u3c2j+h+/N2zm0s5XXtrYkMDoC2QKoIXe1HZjlFQLxUluTopemxrinhSsCUQJnYUW/UzcMvzLI\nkComDM3sVIkXCzHhhugCOCKIiCgXkdDNXV16WInZp0e6r7GiWWsVabU8uaOttR0JGSIkg0KOqbTw\nTicKY1uSvWVDYAEhoyuXjOlDqOEfEceR28vL5b4rV3U5tHufYf/DR++W+7Z2GPbHQFZ2qwo755aE\nfIVCGadI9KmPKTSeA1nytQUm6LoX9P4UI573I2gvfgnOsyaZcPUlXTaFUozSWoclGSgOdUWaPc90\n7ANZzmSQD0AirDm3rM/Q4rISdRVZekKaBKW7PJdTqzF3C1oCmcTkCZZfodTMV2EZcevVT5XbNekQ\ntdjVayB5XqpzujSJrW6P1nm+Hj7QJagVfQfXIj3yUN+bN29PM//D9+btHNqZQv1pntHGIRcnuP7i\nY0gjdQUh9bbGNldWoWmmEJxrYxBCFHiFXWAaFYVcUznfVJFZ2XAygth/AfFPl0p685qee+GIP1+D\nAhQHxyOjacfNmsajx8KyF4W+X12nHIRkqL2+K+OYkl5j29Xep3rsGCTJVlcYws9D0QqJTFZnWaFi\ntaafb/d4eXJ3S5nqtS7fk1sv3yr35aDFP5bcAFuFfIKmQPCWQtprF7S3QLvN35+/oPP2SNK2x9D8\npQJQ/+Iqw+0pLGc2ZJxhAyIBHWX95yUHhHL9Tk/yGwpYuswt8kPUWtHrMiBpFklUBRt6bskzVK2B\n5sMUnkHp2GMTzTFw+SerS/osd6Fg58oSn6fe1vuTSJ6GASm3g10tACumfPx6onNVbfF11J1c2Xe5\nSMebN28fYDtTj18UlgYidngkai5HA3ijWSaiDBBtSaTkRyQeoNEAEUbxlhaVDkEa2ZWsRiihKd+J\nsJMOEH35iMma5gLEUzv8Zm7UAU2M+W07hf5/eQZFRUIqBRB/t5mL/WPbbt2eCJrZ3FLCcO0ie8A2\n9HuLQZ2GpItQBQpYKnXJcoSciN6mFh09eSTb8Or/1EdeJiKii5c1tnw00etpu95xNfW0I/GqE0BP\nlRDVbXgcxUjRRjVk4uv2dW2HDlJJVBFEMYK+c05gcoLt0EEyvdrk+9MFMq32Lj879Ra0CpdsQWwP\nXgCRV+R8vcOePg99yXXoNDSmjopDVnIlCiBfQ4EM7TkQOwWI47rqhKDaEwhim0J2aAHZpbH8ZpqA\nFodS1BUZJ9d9OvMe35u3c2j+h+/N2zm0M4X62TSjvS2GTbm8crb7N8rPXSvkmW4pUHBjRAM+Ai14\nB64KSFctsKmm7E9q0F1HYKUBeBkCkTQaccy/EWmsN0oE3uZwbiFzxgDvhwBpDyXVdjTS8ZR9EQGT\nhfA/Y2mz/e66phN/ZIVJxs6yEmQGljOZTFGOXXGqbhsUaUa6rOoJhFztaM7DTRE7DSG3QlVhiDpd\nXnJUu0pY9eVeHY2UPcVrG8u0Tvo6RxNJ2Kh3tXAHam/IxHxtk4ESv+72jqf6h/0JdKYRwmvtij5P\n63fuERFRo63z5uroY1Bkogo25xSRzCkUHUlabK2mz0hgQMBTipJm2mjLjcampQb0BwopOrKQrj1N\npYYf8jrGU+zDwPeiBuTqkShHpSn/XeE76Xjz5u1pdrYeP5vS1qZo7okm2ZO9D5efH0k5Yq2uHqcC\nJEwU8dszBAqj7IYDGnZQM0OU8hu1Cn3nnBxyUtdCiwr065tISC2D7KxQPCi2tJ5IeKYHikAjkJ4+\nPODjbG9r1uBEiBsDb2Yk+oZC/m3sq8dZ3+TtDrSS7nYgu1EQUAiEn2vtPAR57YN99aBO5eUCeL5G\nnT1WBpLPBXjvXNRg7FivseY68jSVVJtAWW4hxTk5HNP145uCBl0BbatTQVy9AfTbkwIjVNjZ2ddx\nbO5Jocxt9d5rqxzmrLQV1bgefDEQkBFmIgqKMKh6LaRbUoOW7TDXbopyIIgdUjLQoSmckeQWdAsO\nOpNy2z48TwfbWuo7kuzTRlUHNx7ydbviMWz3/iw7TSedy8aY3zHGvGGM+box5udkv++m483bB9RO\nA/UzIvr3rLWvENGniegvGmNeId9Nx5u3D6ydRnNvg4g2ZLtnjHmTiNbo2+imU1hLfYl52h7Dlnt3\n3yk/33qBQUO7oXDNNZEkIjKxwKcCO59INhlkv2HHEpLzJYnCvVCWDLaq0CsxQNpJNxbMJwgEugUA\nWV0xy0xhBJBuA2nZ/GBLC0sG6fGmmTPNO6UYJd1TuLezz1lrOx09dq2hxTcNI7ATGjROBEYfgTLO\nGGSkp9JCegr1+qkUHY0AYh/BeI0oyASQHhY1BAaDhDUuY9yIsANRJsecDLToZQgy6r09lvHGZUYR\n8vHzRO/TBEQpXX370SuadXjhMms/1EEu3BVjGSDVYmjOaeSkMeQQuPtcg4KxCJaJtRqPrQ8qQlby\nG3AuDOpv2+MZnKEjFoe4dFRCNiv4+BEUsW3v8FJgR5aYWX46qP9ca3xppfUaEf0BnbKbjjHms0T0\nWSKiIDzbYkBv3rydbKf+JRpjmkT0vxPRv2utPUIvZa21BlkMMGyoEUYV6/TJnDd9e+te+bf3D7g8\n8tJordzXGOpbNCw9G5zbkSTgnacQztve5zfi0ZFqlzUa0tpZnR2tP1allEUprbWQM+0adxA03qAJ\ne9UQ9hk46FjCUTsH+gYfCrlXgZ51EXjQWBCOrep19wxvD0L1MmPw1JF4d/AnNHZeFeaiVtXbncl8\nvbWzV+57/WtfJyKiBMKCBYyzIpmD3RDCcHJLzEzWGvS8S935lJSz4pUw7JoBYVi4bEEsPZZQLyS1\nUQjE75aUxj4ea8bjJy6z969UMfyby78ne0bXjy+EWgjXPjwFbxrB/E8ECU1B4t1KS2trIQsPkKiV\nZxgzCEmyHwsgPdORzstECk4Od3Xf/cf8XPcm34VwnjEmJv7R/11r7T+Q3ZvSRYfeq5uON2/e/njZ\naVh9Q0R/i4jetNb+V/CR76bjzdsH1E4D9X+IiP5tInrdGPMV2fcf0rfRTcfaglKBcYEohzzc1bLQ\n+7sMOz+eYbxZIW8gsXYL8JPKDCi1fAwwuMLw+LCnEPChFKsYo3AuqkGcv8r706GST6aUSwbiysWr\njRJgIfRXG8s1DkBpxpEv2BGmBm2ac8HGAUDnfYHJE1hNpQAhB0OGkBgTdlA/h4zGYKb9tRwbsuPe\nusvLndtXVJGm2oW+czIvBqFz5OYfcyvwPEIiwueuKAn7B46hgMVtBwCtC0ntG8J4sbhpV75zH8pY\nv+9FyW+IIXtO8htMOLNU1WMKuRfA/ZlfZvpqCh2eDjb0uT2UuHsVSERXQGSQ94XrLe8VnMfIUxxA\nRmm1oZ/nR3z+r7+l/Rvf3WbieCKk82mh/mlY/f+Pnl7047vpePP2ATSfsuvN2zm0M42vWVtQJrFi\nx34fHihk/drdu0RE9Ke//7Vy37RQ+BROpbYbjhmUkAoKVCJ9n11wYpOrF8p9jtG2EEPNoeGhE888\ngoaRNZc7ABEFB/XDUEdUbymsLERtZ5wCxJMCjBzgXAxhzpHEtsNUIe2RbB5MdF+e6DhSSR3O4Dwj\nl06MrZl7moLsFGLmpxB/lxh5fUFZ++a8FrhkEn3YPdTcgED6GtQh3wLqUigVCJ7icscx9LA26cPn\nhwNRYoKwo4qCAAAgAElEQVQ6mlD08oc96I8ADSWDkK/94ROF4Jksc8IqptdKSi4W2QA8nsqzEUAE\npBnyHMTQip1CXe4szXHRUkBYXOaeVb1PWYFLConzF9ASW75fhZT17qKmQu+9ycve3/7SvXLfpix9\nguf04d7je/N2Du3M5bVd0YZrcTwZ6lvyTSEtNqFf2CVoCVwIyWVBLrmw/MZMp3ocC3po4wMmeyxm\n8zl0YPTy+/tKCo0FldRbGmNtyfcroPoSi9do1vWtnU71O7bPHgmzqRyRhF4Gj9mXXnQRKK/0Dvja\nHu1oBuALa5q5Ny/99gpMTBDvf3gEba63NGZfc4UpoOrTFlc9D/p5tabq0YXSlYhqisKOpJvNGNpB\nB13NcHOx68Ki+gzPxwSyAqcZEl+CihDayT7Xq4+IyICGXRzwHD18rCTu1j5HmC+C9Hrmvh8gnIAO\nQ5I11xsqqolkvFNAGPDoUCox9ClIohtBDDEoBvUhU9HxrC1AFi6k32iCYlOkKONgm8//9ib0SBTU\n1JVn4LRtsr3H9+btHJr/4Xvzdg7tjJPnbUlguMh7AXjuYIfTLt98XZsLvrR4qdyOu9I+GePeEhvd\n31MY3DtSmNbbYwhfZLoU6A8YziGSPDyAmnkh+lp1fS9ev8FqPCsr2uRzYZ4hb9wAcq6nEP6dJ5wu\nnM/EVo9DsTrExXeL3rHx5n2Gkvu7CtX3YWnSWeDlUAJ15S1p193oKbn31UOFmg3BlZ05hfWXbvNc\nV0Fk9MmuNmjcesDkawTyzrkEqhvQwjsJdI6CmMnDXqr3JKwwzM4hhh01dMnRNLxUiGCuctlOC01X\nDbGISmD/EO7j+j1ufX69o8siIxLlCYhgtudVackYfgaPBnocJ2VuEpCCzyGlWpZlI4D6Y0ccB7CE\nBDWdjoi3NqGhp0sriZuogKTPxp0tHlMfSNyanKcpKkLBSMf1LPMe35u3c2hnXy7n9O7EC2LBXiA9\n116XsB4R0adua5aSC3u1I2gSIU3OFmtKKHUC/bxoLcmxlcwZSIhpCh5jZ1PDQOMee+pmSwe3LL3f\nmg0oqghzOZ6+Zdc31UN+5R5nws2ooogTwyKnbke9z6Zh5BLONNTgv01qum8bMh4XKq6FNPSS67In\nj6samnv7AbRXlkYmCWQs1kVLr4h1rqxRlFBM+Z5lEL5cWOUsv3no94bNM3IJJx70VUMwlMw+LHM1\nEFo1Xfk+VOT0JRQZNXRfAGXILRlyraXo6sE2Xy/2O5xKqXQMzTiai1fK7USesQqE3gLBhiGQyiGE\n80iItQY0BWlU+doQVTbresy6NAYxSGpKeBgzGrchE3F9W4hqAJChENXLXX4+3+3p/XqWeY/vzds5\nNP/D9+btHNrZQv2AKJT+Yy6cn0ExylSQ33akcO6tbYX6TWmtHQYKtxO3DbH7GGP6Eiu2oJxTEQgZ\nQwXFIhAzbkwxdt+R9Lkp5ghY3jcYKxG0t6Xk0wURoGxWlJQbS831XB3IpYZC43aFv78PxT47ojxU\nq+u+vtE52hsxvAug4VsgKjqYJ7EM8exRyGRaBdZam+ucP5Ht6fUk0JPwckd0CipKxFWleCZJdWzp\nvi59CrneKoGEdU9u/hSy2lJ9DoYSS09Q6UcUfppzOp6jCAqZJHOv1tZ7diACnveeaMX4vCz5ej0g\n52B5lh7y/go8G6GoKhWHurxCeaDYKRPF+p3A8nEMrmUhXyBP+TpGMWRgiqT3ONX5P3qsYpsrLX7+\n5yClcVXag7vsweix5sA8y7zH9+btHJr/4Xvzdg7N2FPW734nrFGP7YdvcYx3e4vh6XgMsVihvEOA\neDUQQnQAf6bmWIpmEkh7bUBr55YUo6C8VVU64FQAeh1Bu+6BxElXFxUaX1jg7cFI/+7eDrOsRyNI\nPUWFSMlVyHJkiHl7GbTer69p/fvP/5f/ORERhRDbDwUuYiQAWeVUoH4KzHkmcBnTl4eHyhCPDnj5\n0QPprbEsD7AZ5fxFEPVc4ghJCGm+fTn3wc5Gue/eu/fKbdf8cwSRjVRu6QSWZMmcXs/qdZZe29qF\ndFZZSvz6//JL5b7DIxC3lDnGZ6cq17HUUmj8wgWGxLeuqETkytK8jkOeHQNQP3JNSasauQjhuYxk\nOYTFWIU8lzHkVlRBi39/n+E8ip3eevklIiK6eFMFQ8OGnrMvrH8Plq0Z8XKyf8DRoL/wl/4KvfXN\nd94zb9d7fG/ezqGdKbmX50SHA34r9kTCejrVt1cilQsNEFmsQV8zEg9hwXtU5G0731Yhym5T3/AL\nHd7fhlrRipAww75mk6Wpxnp3JNvtALrQXFzi86wtqKceixfKSQm93SH0tJNYMJI+ViSWh5CZ14Pi\nj0ZbYunYgM7lG8B1R3DrxmPeP9zTGG5/i4koC4UsWIjUFxHSHuzLndcEtNFZ0qy2SsxzWW9r77xA\nBECnfb2e+RYU5KQ8zjtPlEB7R8i2MYxt4Zoec+0W36t9KCkO5E/3+yByCc9OXbx7p65jX5b8iBtr\nmkl4e5URzOqi5jd0WnpPA+PQFfw0xPsnIGsdQh+8WPbXwBO76u0cOgSh7PtQyMUnkD8yN8eocvW6\ntinHOP+0zwR0iGTwAqOjQHJbQugI9Sw7jeZe1RjzeWPMH0knnf9E9l83xvyBMeaOMeaXjTGnO6M3\nb96+53YaqD8hoh+x1n6MiF4loh8zxnyaiP4LIvqvrbW3iGifiH72uzdMb968fSftNJp7logcJo7l\nP0tEP0JE/6bs/0Ui+qtE9Dfe42CUCVwvHCwCos51xK6COopBzXop6FkEKHpxjqHm6ooSNEvzWniy\nIKmrbWgO6eLDh1DY08GCD4k9j6aokc9kzIchHbWe87FD7GAz1XyAkRBrMy0HpINKACm5AUEdvQhD\nplMQGZXjV2AJhCKOqbTpPuwpbNzf4XhuDMKXBaj+uDr8ZqIkVyyFOyGSo8uqh9BYYDheg3p997ch\niH/WQQFpuS3E10hJxD98g5cZmzsarz6Y6L1YmOP7szVUYqsp9fOoYhPBJFwQiP/qFV0y3LrCY1+7\npOpLiwv8nNQhj6KC7a1F6SeIgFwVXf2ops+Qa7dNRBTLdgjkn5ECpDHkeAwPlXx1/TW3gVy9+/Ae\nERGt3tbCtHZDlyGjI56j7qJeY1fSm11acQSCqs+y0+rqh6Kwu0VEv0lE7xDRgbVlv6h14rZaJ333\ns8aYLxpjvpgXZxdB8ObN29PtVOSetTYnoleNMV0i+hwRvXTaE2AnnSSJ7ER0nY143RhILCc5jdLH\nIXiPK0v89vvQrcvlvqtXebsDOnEN6GvmFFBiKJcIBWUsgJ5cF9o8u44o33iiWVNPpJfd9LZe20VR\nwRlA55jDWAm2fSksyXL1hla4niaQUBFkx5WtlCETLjCu3xtYDmW7Yz5nNlKykkRFKARCKoYy2Iq0\n2Q4DaEkuHi2Gwp0atIa2km6ZTUB2XMZRgbLcaaLbPbngLrQpd62o9w4UHe1DmDQSfzJK9J7MLzAy\nQYnwOZjDj99iv/N9L+uzsSqkXmdBPWRDFIUCzMzDrjnBSZLcgmqQ3DvB4wfwHFh5rhNobd5s6/NW\nkUKovS19xt59dIeIiDbfebfcV7umBUShlJOn+xo6zZf5gSx/MqcT4Hm+cJ619oCIfoeIfoCIukap\nz0tE9Oh5juXNm7fvnZ2G1V8ST0/GmBoRfYaI3iR+Afwb8me+k443bx8gOw3Uv0hEv2i4PUpARL9i\nrf01Y8wbRPRLxpj/lIi+TNxm65lmC1tmNzkoFGLzTXJdTHRYaxeUtPuRT3+UiIhe/NAr5b621JAj\nzMrGEPt02Wg51nFLEQ7UnS+tKXS7JfH79X2Fom8KCfO1O9pc8wc/8TIREV1YUci5nkExSsBkznik\nx5kKuWcBao4g48u1Ta4ApHW1NwEuGSAbMHTdeUBPNJElTkLHM9CIFDJjvDoRcq8KYppJDHkUMvYC\nss2s8DYW8hLw/tUkp6LT0eWXW9INIY4/HevS5t4DqX9vY1vv4tixFzq6FLh1maH+6iXNO1hYETIS\nCLJEFIEMkoTQ4jsSiB9AZqSROQhhXgIoVArdUg1zL+RZttAauwBx0baQcjdvvVDu291nQnbjsRYV\ntSq4fOB/R9sK9etX+BlzORhkUQHg6XYaVv+rxK2xv3X/u0T0qVOdxZs3b3+szKfsevN2Du1sO+kQ\nQhKB9QaLKhjWXAWG/k998tVy++Mf4e1GVz8PpB4/z0BrfwodVoR1drJRRNzRh4jIAJyug9jjrRcY\nwvcPFL7e2f4DIiJ656Gm9r76MkO3agL16dDvvCnQEDJ2aSKMdQDQOINCmpKcRXklB2+xvzrKeUlv\ngTDUcSQ1yTGI9Bpx20USQoC5ToYrAsY6CPV6nA4CLjOcKKiF3vABdBtqNngcS4t6TxYkp8LA32WQ\nfnt4wH9byyEKIePAYqwORB/m5Tytqi4pqjIfCek1RMVJnZcgPu9SX6sI62V5APDewH0uIw24bJXl\npIuEEBGZCFKuJRdl+YpGwS+t8zLlrXfeKfcRNBO9cYsZfgvFVoP9xzIGHu+MzNszzHt8b97OoZ29\n2Ka85V27aSxvXBaFkdduaZHCSy++XG432kz0GRDbtKJJbCF7zoSwLR4ixGxAR7ChFCJ4km5TxvED\nSmG8vc6Ey/0dJfcOpLPNCpTVNsGrjqQMMyCQS566sk9g4jCxz/l8FJ+UbYtqLjB0R3hFiRJSiaAN\nAwcPYGyxZJlVGtCbUDwaZu6FkGNQjgMIpMLNJezDexEJM9maV4JtTopnsIQWU7syQQ/pRI+TSuvz\necjarEEmYyJzHcE1OjRp4DxB2SYbrgvufSCx+ghUbkLJCzFAdNrghAw58PimRJX6cT6TrcmfN2Be\nrr70IhERffVNFZv9ytcflNsrQgguQEFaIP0UrbvuU5J73uN783YOzf/wvXk7h3bGTTO1pNzl7ccA\nmS6LwsuNy5qmWAWSpShrpfU7Tp8fi30wnFpunxRjBXKvgDRhG/Agu5BD8OlPMLFYfEFjy7uHDLM6\nywrhGhB3PZLWzykwdcZptOM+gKIOTodAHpUhf4ifoxqPu/YQUnKDwMWRFS5jOmcYur4GuBSQP0MU\nGyApmh07Zp5JGi807Mwhdk1SgFQB6Nxuu7RZuI+ExJgcBwi/bMLbcQ3SuXE5JPOBRGmRu/HieOzM\ntfAeIFel+SbOQfmIzqB7mBc5Ny53jDsm5F7QTOq25JcUmuPRla5GlUBJxLtPlMjb2+TtpVVNQSZR\nWsqdaKcn97x58/Y0+x6Qe/yP09frQIjk+goXYrSbSl6gvF4hKCGEApVQiJkAinkIwkCO9LDgYctQ\nGOzD96RL6krAe998hXXQegdaRvlwh1VlDqHYpAqKQe7KRlh6LLE9UMKmFEJh7noo0OM4ImgmYw7b\nfjsyDbPEJIxUANEWFHq7M/GGMc6lmxZs/JMjMpEN3CdZgxb08wo4ZiC9EmMkT8XjFzMoDYq1HFqB\ne5+67MaqXmMVPHDF3X/wqoX0qjOQTWlJ5NaRnIOQZokgZ8KlrvsTQkl4xk7KmpOHyEBvSAMhXCNI\nKci0OKkiz1sbwpSHAy3P3tnlEt+X4D6Hcp9HIs1tvcf35s3b08z/8L15O4d25lDfyRY7SLsMQoeX\nFplMa1WhPhpIHylLpwgkixPJ6HKEHBFRgDFu6XJSZMdJnxyaEwYz0tXhseO0OzzOVz6sBULhG/x3\nO0NVVsEsvpaMMyes95ZtkBXHbKuy2MgejwnbGDoETTQjLBMImaOMt3y/GmPdOMTxhTyM4Lpd8VKQ\nI9aHGDcdh7wl0WogV8ECjJb5x+VDo+JyDODcMA6XnZcDnHbt1BPYl2BWoux39xvPiZmE5T7IiYiA\nTHPZiTMFTYEraILxnDB2S7h0eTbktnI9OXZ9EjK4AsdpwzXWhcycHKhaUWXAz15W8H2eIXOfYd7j\ne/N2Ds3/8L15O4d2plDfmKCs744Fkix3tOBmXrrLVDBlFKCOA08Yf3fBZ3yDRcDwh/IJwsZcYF6A\njDY073Tx8Bzg51TY8QQ64LSXWMRx464KKhLUmMcy9gYUiUydeChU7swU6bjYtMUYtyyPoHjGxW95\nnK5WHWLhsnwooO68sKBZkLo4vxaBZId8zCH0pc9gHNW61OvDUsyx21Nceowg30BYa2yPEAbHYXAE\nMXnXCWlYHI/td6GzTAvkvGLpmBRXZ07E4wEyfiKREQtLghT0+6syx3U4d+J0ImbyQ+CJK+cYxyvL\nL1hi5jBHqUiNpWO9j0PpyDRI9Z60oPtOt825EBO493tPWPgqDbrHzvcs8x7fm7dzaGfs8Q1VxOO3\npDhnbVG7nFQlfhlA1toUiKaxvJkP4c1Z9kwDAqcaKVnTqPMbE8s5Y3l150CqTUHGe7fPb9SdHS3B\n7e8zoWKhvNf1butNdTzJADy+xGUxyS4Rz5YkWL0Bf+CIJCQ1jfsX9sH1FJKPMAFPcf/+fSIi2tpW\nImiaKsKpiMLM8pL2B5yfY69hIFsPO/5MBB1MIP/BtQ0PoYsMxq5D4hyHJZC9ngixidcTgDutCFIa\nQpGOlfu72NJMzoWOoq+q6+cHCHEsYx/2VBzUCllpA/Xy2UA/L7a4CKvT0Z6Bcxe4XLY1r5mcMZC4\njojNoRx8PORjjo408y7t63lc78IBSKIPhvz9bZThxvIll1kJxOHOQx5vr+D7PIWuTM+yU3t8kdj+\nsjHm1+T/fScdb94+oPY8UP/niEU2nflOOt68fUDtVFDfGHOJiP4MEf1nRPSXDWO05+6kEwSG6kLc\nrIlQ4irApzIuW4BG+wBgvUDQEGCW42AwhjoASJVKNu0c1DA3mwwXc4CxB6Chv7XN8GwwUJ36RHJs\na9CQs9pozoyLiGgM2vapLB9SgL4uHRXzE+KZ4hqJR2OViBO5hG41BGMvjkS/HzrTjLZ5ex+aMu4d\n6OdjIZdiiFe/9gILP74KqkeL0HHm7n1Whrl/X5XUncjmCnQvyoA0PezzvCaguzDp8bzYp6TsNuUZ\nOcyw/bicZ06XJivzul0VwtfCciYVojUK9DHvdPk71YaONwcN/VTmfQrzu/PuQ76uQyXV5i5oB6JE\ntA3sQD+f7PEzdLipwphjiL+7rjoWdBmiCi9dIiBhsQlNKku5JNFn2Yx4nOuP1+Vv4Bl5hp3W4/83\nRPRXSIn1Bfp2Ounkp8sj9ubN23fX3tPjG2P+ZSLastZ+yRjzw897Auyk06jWrNNJuyT9v7ANdijE\nVjRTF4rqKby/CgRPbvj76L2B26PxPnu83rZ6vlg89HCgBM8BvJlbTdcOWvvGuSy/OoRXIsnCC4Dc\n29rXN+5gJJ7aIEklmnszmnoowSPbM7LjvK/IjxfhEBHlKXsaE+i5kyp7zbl5lZueFErDpFOej4ND\nLTp6/a2vERHR/DxIWC9r37ndB0wYTo6UfHLdsafgnTtVQEVSbNRtqXfuCieHhdKYvehmK8JCGkFK\ny1311NgPsVS8AbRYl6zFChS91AWlBdBByKaQASjfj6F4LBciNgWtu7Sm36kkTAQGuRJrxYSJ39EY\nUAuEEJ3WYRjCdUvoFEOb2HEplMzLdKLPLRU8B2MhBk+ruXcaqP9DRPRnjTE/Tlxw1iaiv07SSUe8\nvu+k483bB8jeE+pba/8Da+0la+01IvopIvpta+2/Rb6TjjdvH1h7P3H8n6fn7KQThSHNdxjyXVjg\n+H0I8WiXtYaikDm0qj48ZHIk60Pmkkgx7+0p/HzlhZvl9nydIdvkUImVLGX4NB0qZLJAnIXS9PGb\nd+6V++4/5qXAlRWN764sMTE5QegFRF0ky5gaNE7MRk5TADq5THAc0lobBTpLcVCA+lYh5JNNFmTc\nu6/CjPc2GMLf2wXCKddxtBo89hfmNXPywgVeQi2+qHTN8oq2bB7J18Oe6g/8/pe/QUREn//6N8p9\na9BG+/YK4/rb9Rvlvhc/wmKqtUSXHkPI9kslJyCEzx36nYfMySqIbbqukQEUcOXC/K7vKnHbly41\nvRSyMiGzsiIE2zJIvF+S5psVgOUmhPbtIY8d5bMnEtP/+h0Vztzc0A45S0JSLndBK0Cu21T0OFcu\n63LT1viZeLCn1zOSDMGRdI9CwvRZ9lw/fGvt7xLR78q276TjzdsH1HzKrjdv59DONGU3MIZqUkAz\nL00U63VlTx3pCfURKrlERMNUYExN4VH7IsOweEHzAWrzINA5Zlg6GinkLSbMqMaQeppgWm3Ex7+4\nqr3W569c5c8Atk+lB/0ACi0wZTQRKBpBjkFBJQ2uxwGY61hZZPodq5+DrBTq5dela066ouO93uTx\n1o4UlmNzyKWWdJkZamy/WeXlw8qaxqjnL18ttwPR2I839DtPdniZ0gTmfA4KadoilVUkOt6lNV4+\nYA7HzjosSSRCU6lDvDpxER/SfTOpwVL3D7EC9/HjTYXGd/f4nvUInqFFvd6VOZ6XK2uaYhxJcUwx\n0Lm0WPYuQqNYJNWUpeza9VvlvqS7eOw7UQ20GKTA5qWPaiPNolDprX2JUN1Z10hMNeHjHA2ncs2n\ng/re43vzdg7tjIt0NANuwXn8CMtPXZtsJVtaLSW5Ki3pwgNdUEIphMG2xhEQX+mEPQlm9kWh658G\nHhTklisSZL8EXU5yQSpT8LojUW5J5pTMGk/UK6TiuaYgjtiQuGw+gTbZ4MYwtl2aEDY5kIBY2Xpp\n7RoREdUjzVXo9ZlcWr6o5BB2xWlUpTQ5U69LBc8V9ibErMKmZC1evaqeuFHnOdrZ1XOPQZGokvA4\nWguKwioNPuYCEIvBY40GJzLOFhBsk0JkvLHsFFBTdiQZk/A8NdvstV976SPlvpdEYSeFQrD2qpKZ\nbSFsGzUgCft8PYM+dAsC0tk6xAeFSk1pzf2Rl7QT1BCejVxktaMQSqClWGgwgjyJgW7fkxLcd7c0\nM3WxyU/MQc+pMHmxTW/evD3F/A/fm7dzaN8Dco9PGTuSC5GJ1DUbSG2MQW0nEthpUJXHQUAozrBQ\nr+xSeSMUSnQQEWLpMTRETEInnqhLhoHErjFOGsp2DPtySDO1AuEL0M0vnNgoXFeC8jRuSQKiiU5P\nfzRQUi0cK+njxDFbNU1hbQgxZoFwQp0DB/tndNhzaa0NRSAE1daVNkPvEIpI4oTPWa/ro9Tf1+/Y\ngiF4HOg+l/58cRGKbCBmXxUVnY40iSQiGqQMeWeUfmBdNJL9NSCLTZ2XGU2Y33ZTxDTbujxDgi20\nfJ8DWIplogOBuvgBtjWQlO0C7plbejbqel0JFEQVlseJJGGa8t/GsS4x4ZaVUv+b+0AypjzOtODn\nKfdNM7158/Y0O3t5bXnXjAdC+uCb1xVOgMcPYixSEF21GrzVxavmULQyhsy+nqjozPRmc91f0OMD\noWikSVodFF6MnHOY6nkKKYEMUUlGP6ZQiMAAXuu5K1nFDjdQlFF2vpmp2+F9k4l6+aKv3j91xTtA\n3iVSZGIgu82g+5BCqAwUW9y0z/Bn4GELIa9SILYoZo/fXABkUFPE0D8UTbhMCampqBklkGXXbel3\n5iWrrbMCWWtHfO5+T+dgBB44ER3ASgUz90TpB8K/iRy7sqjHjrDYJ3Jy7OCKj3iuQ4JCMEB2JneK\nQvoVBzADCHOGForL5NnIUsj6lPlIItDpO9Bnoy+KRNtHeE/4+zUpVT9ljY73+N68nUfzP3xv3s6h\nnSnULwpLPYGOm1JUUwOIHQvMikE2OQDSpyLEIHY5MZJ9h7A9HypUGvUYCnVbAPeEBCugM008VcJk\nKpA6GuHY+NzVAIk8gb7w/gxgOxcScTxUeNo7ZMgbAywsYOyukeRMU28HKwH+j1BlSLZDFO10LaZn\nClkU1gcunj0CklCKgKYguR1D3boTO91HpZ+hNH8McA4g27IvIpBWi6RGOd/7MWRT1qo6180OQ+Ia\nqP+MMt7e2testVoKoqoxQ3gL6j+ZwGnMBDWyBIqg/XoMpKgV7QQLtfVTUSsKgMQNgCw2Lq8EdBkc\naRoAex1GsJwMXXceHRtZJ70ORWqFbt95xNe+P4SCMnLzLx2lTlmk4z2+N2/n0PwP35u3c2hnm7Ib\nBlSVtM9IGOgM4NF4zLinCXDNAFRy7LaFtFmXojgFiaMRiB6OpEhnDtJQHSJOQS5qDOOIBC5NgN4O\nJbqAaa8ufl+B12eK8lgSa097KsCZCbQ2kAoLl0uBCEOaGfkxmQMQUszhmCRRDOyiUuqrg4RUgIy3\nNLnsHWhKaNn8MYc4PDD8O082+dgWHxv+zuGRQvBRX2F9nIjuPvS1PxSd+4OhLldQnD2c4/8JF5Xp\ntxNOCd6ErjfBWOH4ksTLOzWQRpNnY7YYi7cjWLKFGFVxzSxHeuyRiJRiM8sci4Hc8wJLukiiHQbi\n6gHkl7hzBjO6C3wNBXRZQunMd7e42AijGUNZTlbl2Sg81PfmzdvT7LTy2veIqEesg5hZa7/PGDNP\nRL9MRNeI6B4R/aS1wOCcYEEYUEOEMq14ToMslyPqwBNjv7EJiQc9oYw1gy4yOWbxSTbg3i4IJbq3\n+UwbZsgWFFIpgOKZ0VAy9wbYY4+9cgFusZiCmo4rqkHSR9w7hlvzKaAacl1+IHNPEM4UijymffXU\nxYCvLRujipAQlE3IAiMQkBRSaHNDi2N6hxKvBrDRaUIWn4z66osvlXsqkmWXTvTW723pXE8EiRm4\nJ4+3GKEMhopaUHSSIv5OXANPLRl3EMKmINPr3RZvu7ykeSGudbaBv7NC3BYj7D2oF+wkuacDnEv2\n3kEMCjsWC3Z4nE4Fh4ioKsVJpgKdbWYqsGRsSIoKgVwAGkGxzr4gHPTpDm04+fHT+fvn8/j/grX2\nVWvt98n//wIR/Za19jYR/Zb8vzdv3j4A9n6g/k8QN9Ig+fdfff/D8ebN21nYack9S0T/2HDQ/L8X\nrfwVa60To39CRCtP/bZYaAw1pc45lyoHm0AdvYhcFkDepWOFt47cMoBFHVovgCFD8q8rnVMiZOBE\n3W+OHGkAACAASURBVAaJEAPx0iMhBxPQ0HedbYpMx5OJOpAF8shC40QrKit4PU4bH2PLWGOeyecT\nC2KOqSsQApw7VZicS/eeyVC/k8gSqAo5ESHkcxYCTzstLYQJJR69v6uikAdHep6bt68REVF3TmPg\njpmsw7KoAg0wB3L/LEgcjaSwagxLpARIOZfakUN/hIp0P+qNj88lEdETgfovwLNh5f5lAMunsiS0\nPV2aREiKuqaoqd7TlmgOgAwEEfRKICE7k6ZqGwQufwILuGDJ59psozioW/bis3zU12VT4IrUIPg/\nkTRq11z2Oy22+c9Zax8ZY5aJ6DeNMd/AD6211hhz4hmNMZ8los8SEbUgJ9qbN2/fOzvVD99a+0j+\n3TLGfI5YXXfTGHPRWrthjLlIRFtP+W7ZSWd1acE2RDEnlDddHun7IhNSowB5mSxTsswRUoSEiBzP\nAl1m6kDA5eHxY4oizhF0hBmCZHTpOeFV5kpeOzUobXV9z4CIy4FkdOWaWPXi3tUBhoNAuWUiRFQf\nkEUw5nGOBiARPtXQUe5afIPSj5HQJ7a8RmRiZP6bDXWrTm2nHmPZMxCXcm2764/LfYkUocRVJQEX\nlkBbrsfXM65DluRYstqqUKYK4c2x3Mvpvt4fK959FwqwRoBgNoc85kMoerlQEQ8KxTVjp5ZTqPdt\nQIi2LHQqsO5Wvg+ZdyHoFwayP7IYhpbvgwfOZlpY89iTWJ1hIAglyHQ8UyAmHUpAlZ2JnDOXVbs9\nWcPpmL3nGt8Y0zDGtNw2Ef1pIvoaEf0qcSMNIt9Qw5u3D5SdxuOvENHnZF0REdH/aq39DWPMF4jo\nV4wxP0tE94noJ797w/Tmzdt30t7zhy+NMz52wv5dIvrR5zmZIYWTZT2zPS6HTEAORUDWuMy0CRBo\nE5E8HvQVGjcgQ83B0wFA8EDENjMojplO9JxJheEXwqbdAyZZ8rEeuy2ClTEsVwjj+I5Ighr+UIgb\nC9c9ReFGVxySKZSfjBjiDw42y33ZSAtlrCyH4JBUiJDoBI4z2tOxTeXasyFkL7rGi7D0SGGuH7hM\nOyDq5kWccnFFMyObS5o70LrAc3SUK0m4d8Srwg7UyVvIqagJdO6DnHUqS7ERZkZOFFrvSQvrbWgF\nflvy3malyoVwhWcsh/y4keQybMNy5nCH598YIOJgvBVpk12r6FKgu8zzUp9X8hTTIEPpulONUG+C\nCUzMNKwW0AhVdmcA9Z2aNs7facxn7nnzdg7N//C9eTuHdrZim4GhqsDwODges5w66SfYlwDjGkqs\nOAZY43TuJ1A/3Woo1Fy+doWIiGrzyjQnAs2wYecY6tsPpMni9iOFewd7XISCsDwTiB8CNMNmlmXq\n8QzEk+/C6qDAomz5TpEqRM9cXT/Kh8G82FBi5cByhxJnhnJ6iiDW3u/zMfcnypL3pe58tK9z0YfI\nR19SbC1ESLpHvPyYFNpMdOGiwtvFK6tERBQDU13UGU5jHoUTwSTSvvcjYLRdQdTYQCwcrnco17Ox\np5GPfp/Hi/JurlAG+yykkL57JEuFcaysfXKF9fnrSxf12CCDNpblxxhi7sOeHPNAx9Ptav7Dyiof\nMwAZOdcswUK/hzFEdyayPMtPCJxX5ZlGXYRnmff43rydQzvjTjqGalVRHnFvLej1NRUiYwDZeshZ\nxOLlGk19G9elI08RKUrY2d4otzeerPN35lRcMQ+YUKlAZl4G5Z79I/Z4k76+1UnKZbvQXachCj4G\nvTyUWSZCXlXh/ZpJSeVkADH3EMplpXOKAUWgYCKllwEU2VSgP6CUvAahzkG9zl6z1dS/a4D7HwlR\neLj+pNw3FKIPi4YqkGLYbnIWZHdR5+D6q9wbrrus+8ZT9Xxj8br3nug92RNEsYfzi7LlIh89yfWe\nNKt8PdWmji0O9HobHX6uJhXI5jvicXQWFe1VpLwaOxFBd2uabzI66Db1nlTqfN1xSzPzppDZV96/\nOUWdhYi/9g52yn31lh6z1nBkqN6TiXQg6vc1Jeatu/fK7e0DnjdESpGgwCUhEe9uKQH8LPMe35u3\nc2j+h+/N2zm0s4X6pIKFhcTksaOMEzDMIFY7ho4xuaRR2pladYE9ff1OBLIlLr4/6j8s9x0MGUJG\nFWjIiZrzEic1wMC50DV2xckCVzSh05gVsJ1JGmUG1ygpxG0gIFNgazbfljIITLUV6D14ojHq6T7U\nsks8uwJa75lA0eGeEnU49kjqzpeBXBrKsiuHZVMCceaWLF2wtXm9z5DWFjq2AgqMetL9p/9EFXqC\nQ75Xc5Eu2TZ29T7vpEyuzl1SiD4nqcFzC5riul8bwzbP0aip93RfpmMX8gHaIvVTwUffYjNSKZ6B\nfIxiIDoQm5BHAfoCYSmcidoSvJ1g/wS43omQkCkQgoMxbx8daVvvWgGtzRu8rB0MdH7bjYb8y8uR\nMEDlpqeb9/jevJ1DO1OP316cp8/8zE8TEVHY4DfZUV/fbn/0R79HRES/+Y9+r9z36C0lnw632csN\n+vrGG6fH2wNj15xIwobY7caFtQbwnRGq4Mjf1qFVcuH66WGSnoSTUEUlzfDc/C84bwqE1ey2NMR0\naUmJx39Fwk1ZhtmJIkedqpfHjj5OpchAiGoqxNYkxVJQvca2eMZwQb+zK+2Z726rZ4shw20oSKnV\nVY+/ajhct3JLVXlsXVHChkhgv5mrJ567ytf7M//6j5f7rt54pdxeWLpKREQH0GRmd4tJ2t//tf+u\n3Pe1N79Zbr/xR6wkdOedt8p9n0vfICLtLUhENEp5ezwF1DhzfyRkDNeduHJY/TOKoSehkb+dQMZj\nJg9Kgj0SE91uSxlyFOmzE0lPyBRk0gMIFUeiUnRzWVHAvChatUN+NsIZbaenm/f43rydQ/M/fG/e\nzqGdeRy/Io0vXQ1zAfB0c4cllN96U2O+D9/VpcBYRDYNYLPIQbPwOMQmUshWhaw1kr/dGSksOgCh\nRLd3MD0O3VBuxBXFRFC/ngKB5iSUYzi3G2aWa7YYAYHW7jChhRmCZszHrBol6ipAYlFdxolKQKI6\nM9OoBTrc1KTio9HUcy/UWURpeKBLiioUPA3kXoWwdkkkK7GApUkGy52RZLi9/vW75b6Jy7iDfIzG\nxbVy+5LU9ocgDe4UZoYAp7e2dQ43NnjMKSj0mBPuWSrfR3gfzcB63q6APkBVHqj8KSh6mjk5dlD6\nkRPALurD8iKVZ6tR1flt1WXJMAP1YUkh5De2ge+JAOfWIV//FLXan2He43vzdg7N//C9eTuHdqZQ\n31JOqeW4rimYdR5l98vPNzaYpX30WGO+u0cQTxX4VAVo5hptVuEV1gBo3ZHwfB2WAk5Cfx8g6x6m\nDrtcAxRKPKEwwqGwAopFENpZgfpYe+/gZwZ/mAwUwru66gDGWxXt+vlFTRklSDF2TdExsuFEF0Po\nymJCkJOS4o9GS+F0u8Zpnx/bUt3Ual3zG0abPKbdQ11+DfY46jJqwT1Z0Nr8mhScjHv6nXWB5b/1\n6/+43Dep6j2/dImLYeZaGiloieTZxpb2AXjyUFNbR9IrIZsev1EF3Fu3hSu/BjxPy5KwAQGdsghr\nDMu4Q7h/7vaH8Ly4JWwAz8YYHqKB02XArlBOqg0iATVoGuvS1/GYTiEslSWVb5rpzZu3p9ppO+l0\nieh/IKIPE780f4aI3qLn7KSTZRPa3X2XiIiKiL3c7ra+wTfvc0HD0SH2tMPWxN+6ocRLA1RhauAt\nQ9nG7jCtCv9PB+KqG0a9oVNjzsFTFM94keJLFvkfJzyMSswuLosoAbulkJQXGxhP7KTBsacaFIk4\nRFFpQOtnIcbiql5jjHkJ6UDGocihknA24dWPqqcNYS4fj/meDaEQZPOIPc0UWjebtnr3XMirLozj\noRBbD95Qj/3/TP5JuX3hEiOGH/7+v6Bjy9jzvfu2nvvoAAhFV7J6gnfH++MenTrM5bWOEpyvXOQ5\nXFsAMU2hSDdBwejOrmYDPunztR+OgbzLZ8eA5ybS52SCmaAuyw+QaAE5IrVktqSdiCgUEtLllNhT\n9tI5rcf/60T0G9bal4hluN4k30nHm7cPrJ1GZbdDRH+CiP4WEZG1NrXWHpDvpOPN2wfWTgP1rxPR\nNhH9j8aYjxHRl4jo5+jb6KST5ykd7j0gIqJpyLB+d0vrlR8/Ev34FNMpoe5ZIFeAYpxyBQYgKVBY\nJQljIS7bEJiHx5kpsKDjSifP4kzsU9YBuYP6CL9kGAYOOILYsxsSQjZXlGQxRgtrilC0AiqJEnU1\naZZZbeq+pKOFQbkUPx3tvKuftxliL9Re1tNMNKZ/+PBt/jtgUgcHvEx5BCTs+mi73DZtHputgn6/\nwP/BgcLlx3d0lfj3/84/JCKifvd6ue+Ti6z3ur6ufzcYQe6FzAfeCreJd9YtDV9e1bn4sVdVWecj\nH71GREQLXS0Qcl2WUljO7EAT1j984x4REf2Tr+my9Z19XkphARaOzW3js+GWVSkuMSG/xJHOFWg0\nW5einFSWi/mz1qRgp4H6ERF9nIj+hrX2NSIa0LfAestU4lM76RhjvmiM+eLh4eikP/HmzdsZ22k8\n/joRrVtr/0D+/38j/uE/dyedWzeX7KDHb8phwV5hd1/f4Lt7Iu/8lAwpx3NUsE+bvMET2FegbLY4\nyRFGssQH4MsxNMe9P3rl071Hv+Xv7HGfE55QNIRhuFgyGvNMvXsmA7WghmMISLuIs/gq0IewIh62\nUtcy1rii27nl77fmV8t99WXWJ5z2tDAqPVQvN7fMoO6F65BNKa3AtzcUGezvKunW3+XPg6buc1Er\nzEorxpCR91V+Jr7w279T7mt/mh/VHhC/kxRlpmWOSM0dvQJo8ENLTN791Kdvlvs+/poinPm1a/yd\nuFPuC0iyTAGJXlhUJ7Y2zypEl2uvl/v+jy/x9pu7qlmYQjm5C7thRyWXYZgXGJbV63EZoDY67q/z\np/1onmLv6fGttU+I6KEx5kXZ9aNE9Ab5TjrevH1g7bQJPH+JiP6uMSYhoneJ6M8TvzR8Jx1v3j6A\ndtqmmV8hou874aPn6qRTFLYUdOxL/HgMsc/h6HiBAcY+XfyynkAXEyHqYiA8sKNMJuAPTkO9sYOF\nsGQAOOj+FjPungX2EY7NcITuGmDbcYwxkI2QvFUKN5oMGoPKOAITHPs7IqJYCp/iqsaeY2mPHdag\nQzGoDFkhPStLl/TjrpBckEOQ5wqtm2s3+GNo2HlNJLcfDHSCm1sK6/d6/P3REBpXTvl6IrgehP35\nkMd28K5m821eYuIsnWBDVcxlkKHr1ZbPzhpkJ/5rn2CI/4nv/2i5b3FVScS4xgRnGEArcCvNLHUl\nRfUGqBS1OaPyk1XNWEyEaP3Vz/9hue+fPtElkivoieC6awLhx1NM/4TNk4g7mcJc8l185p43b96e\nameaq58Xlnqi0daTxhEj8PLZ8c7CM2E2VzKZgLd0H+PfYbjDqePsD9WL7Yv3CYwSZHVorjEqyUEI\nq5yUrP8e5ogb9EJuGwDGLEqwx8+tpp4ggOyuSA4WwXWXrQmBUMpG6qkd2onrqgRkQvZsBmS8kxZE\naUXpJz9Q8q8h2oHtipK0c7HO5SPLcGaKWW3OO0E5cwWyKBN3L/r6nf1N9v4p9MvL8xM8PsxlTRRt\nPn1Nr+G1j3FWYmvuQrnPkKKiYiqIC1M9RVMRASDenUII2cb8QrnvpQ8zYTjoKen51p56/02RDkek\n05DnegBIBksP3PWmQDLGErzOClcXQqcy7/G9eTuH5n/43rydQzvjslxLExEMzKQS5gjaW2cC42ZI\nDMAuDt1moGTi+slhmWsV+4cJlBpBzDcXKLUEWW1YcpnLOVHtZd/F0gHkOZD2NHh1As9XxptzXEbA\n9YbSatkEujRJD904jmd5EWn2YgDtngvpxFMU2OUHSNEOw9IwUiUfY0tWU88D3XeikMeWiMwzEVHV\nSW5DHgW2ea6USw6Y3xKiA2SFopmgJjLrAIOfbDAxlmUYCyfdduOFWb8o9/dHP36j3LewxEubIsfn\nAcg0J+EeQOGUy8CEpWGW6f3JRNA0tzr/7QVeAn3s45ojcOvrd8rtLSmrxiVqXci9CpB7Uxhn5sRd\nISclkP+Z5i43xZN73rx5e4r5H743b+fQzhTqE1my0iWnIkHWKTDNrjtJcRKGIy1AmAKrWZF3Vwgw\nLJ9RzuG/HcHyYCrs6Yc6yuY2oavOoUC3HejO05sOZAw6npMKamYTJ3k/xmrdmzafKd4AaB0xPDVQ\nkBMI3HbpvEREAbSQdvA0g9bNuURNAhCsjJtamOK04IsxiH7KcsfCsU0BuFLmMoI04HpbGkpagMFA\nRTvojSnKTggUAg4zHsilZGPd+VSKUIqTQ9wlwK9GOo4fvMTLmVuXlNWPJP3WFBqUt1M9e+FUbkDL\n1B3cQlecHHX53TIGlaGkEGnxqkYPXr2ugqJflOK0mWCR676DyziYI/dc4xxMp27pLOm83+F6fG/e\nvP0zZGdL7llL+VRaPou8cwikm8md1h1+R7edZtkelrTK15cgdtyp6uu6KbHpPrzVh/LKvH1Ns9Ze\nu6mlmetPOE79G68/0H3Sr2yUQgltOXD0ZiePvfyO/C0iBzuDavhfJJ8i6bkW1OAPRxofdsVEdqLe\nORBFogQkrJOKknJGjl9Ab8JC9PGsRS8PuQOS+RckUPgjKKJSgwIhiIE7rx6dUAI9M1dw0x3JO4GY\nfUvaSWOXpNksPf6/S4BGvl+8bR106wLpbRjlui8E/xdKbkFQQL9Dac+OPdsDaG+dObQJ1x27ywn0\neXntZS0MWvjym0REtDWBgiZBsjGQ0xFIaZeFSPi8OLL4OP/7TPMe35u3c2j+h+/N2zm0s03ZzQo6\n3GWImkVMKk2PAFYKXJlJ2YXvV4X0aAD5YQVC5vCXcw2Fe1eXWUnl2iKIRoqc9Uc+8kK57ybAsPDu\nPSIiat5TlZV2lWXBMY7saqCDGfLuuOIKhonDEsqjwo5uD2RsQa4QPBaRRZPq7bIWbp3AQZwDku8U\nMFcpNtCUuK+BJVIkTJIBqI+aBEYYLxvq/GYJk3s5EIdTYMaOUs4nSOE2m2Mbs3Xprja/v6Wtt5vt\n5eNfgnmPJUf5xUVtQDq/yOReH5YMljh+Hhc6v9WKwv66uEJMCw8LJ9gKEHxGrj05Np5ySZfpeZYv\n6XLy2hxLmT96rOnP25K+3oLuRfhsuQcKieFSWl18+GkTy73H9+btHNqZevwsy2l3TzxnxJ5gAuWc\njgjCAhZsdvDj81wqeaOjhFVP3sI10JN74fqVcnvO9aJL1Qv1pZnEYqLfefRVba88HbBn/OSyqtNU\nh+xR/uDde3rulImZKniCnam6Ntc0AassHemDYT8M5416PD/AlVEgtwmz/fCt3zvkApnJUImiMJFS\n0lj7EE6AqBsMmHSqQK3pjdvXiIiouazFJgFcm5UineET9cTrb7GSUlgoClhpK4nYlNbm/XQ20En0\nLUgJi7EknJdBKHFw6NAXknsoqc7357VV9aodKSA62tOQZV88/dFYdQGxDLYmBGi3qQo8C10uu11a\n1HlptqFsVx7YCZQrD/s8R5uPlCB+8FC3nSG6HTg0iUjouMM/MWTssvp8kY43b96eav6H783bObT3\nhPqitffLsOsGEf1HRPQ/03N20plMcrr7Lv9JO2JYVIeWwE0p1ChATPBDDSVerrQ5Cy2CuGxMkukG\nUHOps6zfucLZUgnEnidCXh31lLybQNHF7Zd5qXDzI7fKfZXf+wYREb3+4GG5z8ku32zpse8B3H5n\nIIUyAL+ysg7mKZhMYGcOWWKOoEOxTYJMuVqDiaL2Ba2tj+oMc4HXIhpo7D9qMsl19PBeuW/rHb5G\nm2uGGXbnmR5woUwK11hvivrMn9TuOxdWtSim8v/+PhERff4dJbH+aIsFKHGJgx7IuoIpyNAMZNkU\nYAEWzEdHcgw+eg3abQvsH8KSoRHx9USQsLgDMt+DIW9n+9rPcHggy9O+CmeuXtGMPNfv8PFjfTae\nbHNm3uaB/iSqdV1WvXTtKhER3TnQ8+xJTgWSwYE5gek+6dE5qSLsGXYasc23rLWvWmtfJaJPENGQ\niD5HvpOON28fWHteqP+jRPSOtfY++U463rx9YO15Wf2fIqK/J9vP3Uknmxa0+ZjhzCBmhvgTtxSW\n31xgpnmzUPiz0lR4tCPvqR7A3Dxhhn97X+Fa60jZ1QsV/rzZgeVByMuD3lDZ6ZrEVYmICknz3U8V\n0q6Lfvw6pFiGwpIfAM+61NaimA352wHE/k/SS0SUlk54DgbQbyDoMJyuQO18ta0RiUjSTPOJxul7\nm4+JiGhzS+H9QU/H/sqrH+Hxflive7zD9eIH63fLfXlf57IiULV+QaF83GfMvNNTGLy+q6KSqRQL\nffKKPh4PpOvOAbT6xjnISokpqHmXdGSnCUA0qyW/LKm6a1CQE0Z8nP0NFe3cGfHYdob6DA2nevau\nMPgrF3R+OyHfkyrp/NWgemYq825TvZ52k6MDR7CELCCq4vIslpq6TOzL84bRG9QXyFz67gzrL0Ks\nUqRzktjrSXZqjy/S2n+WiP7+t3522k46KJbhzZu37509j8f/l4joD621rk/xc3fSqVcTm474lTTO\n+N/5usZGF+qS1VfTN+vtJfVIaxf5bb4L0sfBIsfa13fVexdGL2tbSJZGotLHlZp4ZfAYGRS4DA8Z\nPUzBw16+wZl9c60vlvtGQ/Z2R1BQs9LVN3h3wB5yBF7TEVozxSYoLS1tZrIplMZKLD2A0uEZ0sdl\nbxX6HjcJz9HcRY2pVzpA7hkeUzACrzuQcfaU+RpuqPemRSYP528oibi8zOPYgfLelRs6HxeecOw6\nBXnteZH+HsA1zihZyterUBSTCxKKQRQ1LHT7ytycXKNeL8V8T3OQIs/E0SfYYSjQz7sSn29EENsX\nZZ1wqqgyGCoxHMrjmgBCXLzIxGIdyNHDQq/3UAjSRnL8J4ioEDMEy+xGTNCUZ6Owz8fuPc8a/6dJ\nYT6R76TjzdsH1k71wzfGNIjoM0T0D2D3XyOizxhj3iaiPyX/782btw+AnbaTzoCIFr5l3y49Zycd\nEwRUqUrXF1nvV0nJMKfSchVScn/gltbMLy4zfDrEWugaQ7uPXdTijBBEJyuWoWyRKQwrRqH8q39n\noYClfYEJxwXpkEJEFEnnn5/+gU+X+x5IDNwWCgHrbSUj94Vk3BlBw0hZFjwts9JB2faikp6J5C1g\nS2UUznQa+RHoEDiOERVZpkA8BrksZ4ZKfKWSZloDFZsigtTghxynLm48LvctLHDcvJkppG0n0ONg\nzIVQ33hT01XrosCJhTAzCjwCb6t1vZ6JKDWFoEIU5bo8WxQyLU70O4l0GLp8TcnIrnQoOoQ+C3FV\n71lNmo1WAdZbISPdcoOIyACRZ6SoaNpTUjpe5FTx6xf1Ph7BUsBM+PiHG/qMPT7g5cM2nGfWjhN4\noeS8OG3W0wJ+n7nnzds5tDMt0jFkKJJQWlASHUByiaN5+YIWSFy/roUyUczfrUM/uKl4fwz95KCS\nE5bdd/RSnZ5dAOQe6rslouOd5PpW74b8hv7+m/oGv9Xg7+/uKa95kOl3LtbZOz0+0vdrT875VDJG\ndPMSKH0NhBcLoIQ2wIQu6zoDKYEWuoKOqSKZYqxerBCPkw90XyTHSSA7rgAPeySoaNrTApdIvHIE\nxGLL6DkvLzPptvdgp9w3V+Nj7sD1WFCaMcJuGQhPGiHgahVFFhaaDqZG1INCPU4gmX0JRJPa4uuq\nNegjCFmS0VQ63ECx1Wgsxx6DJ67rdiTPYACZiKmEiusg4V4DEni1wfs/9aIi2ntPpHU8hB8RGZY8\nH7hrp+dYgqdTxvO8x/fm7Rya/+F783YO7YzltQ1ZybpzqiUZ1MTXa0zqLQK5V+9q/N0I7AyqCvdi\nOU6E3UegO08giisJFPbkM5UrbmQQA3eS0PCdqMrQr7mkZIxLILQxLC1GGs++IGpDrT0lfVKB+lB/\nMhO3nUgs3WJL61igfAxx/JlmQQLvZqSnXfeXk1tRx7JcCnMlnLIpHz8BkjCvQJtteVwyIEILWbJh\nNyALXYDiGh+rUgOFJFkCteE8KcS4c1mKDaEYiIQwNKHe+yhSGL0rqqvDkU5CtSaPN8xBHDGRF4XQ\nQQjmMpTONPlAxzNKJb9hqsu4IMNllxBsMP8uizKugAAnZB0GVd5vIp2rmxeYAP38puYIZLA8CILj\ncXxXsH9CUt8zzXt8b97Oofkfvjdv59DOFOoXRUFDSRF16a7rOwprXCotstdTwK9uL2arBlLQgYxr\nAHXacSJ5A1VdPhQC2QxArylEAlz/8Sqk/gaypMhBBHMgab4TgHiVmp6nI6mpraoeZyz6YnasX5oA\nG/zwEcfIQ4DTCysSpw/17wzAfrc0MYHCSjdHQQX14XWckUhVjSHVNqhyLDwE8cmkq9vFA67JGh4q\n5G1c5muLEbZP9HMrBUohjLctjHo11rHh/I9l/l38nIgoafF5JhPImYBIwuGI78U772i+QHSNU7wj\nLG6S5UEIcxUARnfMfAZRorEsvyIossnhO5EsXXJoArq9y8x8Z1WLhtoLGq0KZa2WVUGyrMOf12C8\ngwJj+ifIa52QAn4a8x7fm7dzaGcrr01EA4lf9/v8Nn/rHVUtuT3Pb2MUp8R+cIGLx870G2OPbiCL\nq1IFjyVSxRHE/ieStfX/t3ctsZEdVfTc7na3v+PfZH7OnwxEAwISRShRWKAAIkSIFRuEWCDYIREC\nEiRiEbFEQnwWCAkRsUAIEEkE0Sz4hSxYBRISQTIzySTMZMaO3f637f73e8WibvU9Zjxjz8TTdqfr\nSJZfv+5+r+pVv3dP3br33MymJBBKAQ1PeGIb/WpCM2SJKys+FbVcsuQXjtwT/U5/3s4zmHhLU2mQ\nM4wcOG/psYQYTEEtY9ZReWoSg4Ra0wxZsaxGAGZy7LQkk68WrVUjKe0+7zhLNyfJtrcGgrUk6xxI\nEgAADOlJREFUtpLXuIzciLVHyHNZ0/Ri4TiJgopTukuFSQGgGsqlU+nygVxdv2PXN0Ppzk1N/z1P\nKjhT475to8PmEBR1mubY4lNMRWBKjq6L0x9kYdCOkx+y5LH+cR+lN3GIREjnfC7b3IVpOw+zV2W1\nSZXiKDKhr3Zb1imeIG1H7l0a99musnPJO1sjWvyIiB5EvPEjInoQHS6aCVTrofCff+bMrFp44uiw\nz/NO+8xB1qC1U9HwUyFqHEI0eR2eCz2uLns63iSPyPKCp2TLS+ZYrG2Yk2v4gKfEzYbtk7BQmhrV\nr+uafYWUZBzlcbd0+pHvI/13FRfdJC5J23NLfpqRilHAiUk/TRkYoQQU0tUPrFWY1quDKEOFHEHO\nJxfoJBXSbNU8LQ/JOgDQpASjRMX+G3TumgpwDo9bjn4fOThDePXoqK25D2u5mgap05RpqlXXKR2H\nJed1zNlxmLZsLBY1t38xtTGr6rgMbArH1uKbVBQzy6HQ7RBY2zeo+vyFYZoqUeWgVKdd2QOWKDas\nM9TU2VR1aW6mvd3SttcpeSxxfh/n4PN2KsGJe+nURLZY4r8SosWPiOhBdHg5z6Gq0VipPu2XyvZY\nL+lTv0nLVhskCQ19Mheo2UGDLcfJG/S0Dk6wJun01YM+GTlrhrh0jTrjKiSnHHwsCVmZXKj4Qkke\na2V7wteCrDM9XhuhrDGn2BIbWdBKQ82MHfPYqregR6YO2ne43FBYFqOU1FATz3HSBpsDPXz+gFnq\nlkaTpSQXnvTbNWiseXa2sGhJScWXvMW/s9/6METRlq6Q6nnI6uplL5PFrzaZKflj5bhykL7donTY\nhNhXseK3Z6t2/dcSvy9fI3ak0Z8FcuwWQCWz1VHKSuZ5te4p6eytEROqrZ4HsNlRXS75aM2pw8YM\nQml4AFhd8klL6xX7fderoT+0bEvjl9MlQLdpPXuz5t5OES1+REQPIt74ERE9iB1RfRF5BMBX4DnI\nfwB8CcBRAL+BV+Z5EcAXnXONyx4EQJomqCm1ceqMcZRDvhBELimnukKRS9laWH+3ZodoPyGnmiMF\nmFxBaVqGE248lU2dPfcaNKVIEu8gqtI6crXsKWaNHHmhvHKeEmrWyRkZigSxM2xNYwjqlCPOzr3p\nOaWA5Ig7pD6j2282LYDRSaP9Ikrx6VqmbRpMJcWTSzODMhTzUNAINGR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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da7177d68>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 6010... Discriminator Loss: 1.3203... Generator Loss: 0.7839\n",
"Epoch 1/1-Step 6020... Discriminator Loss: 1.4128... Generator Loss: 0.7078\n",
"Epoch 1/1-Step 6030... Discriminator Loss: 1.5910... Generator Loss: 0.6148\n",
"Epoch 1/1-Step 6040... Discriminator Loss: 1.4653... Generator Loss: 0.8717\n",
"Epoch 1/1-Step 6050... Discriminator Loss: 1.7522... Generator Loss: 0.9054\n",
"Epoch 1/1-Step 6060... Discriminator Loss: 1.3762... Generator Loss: 1.0431\n",
"Epoch 1/1-Step 6070... Discriminator Loss: 1.5753... Generator Loss: 0.7253\n",
"Epoch 1/1-Step 6080... Discriminator Loss: 1.4033... Generator Loss: 0.9338\n",
"Epoch 1/1-Step 6090... Discriminator Loss: 1.2361... Generator Loss: 0.8381\n",
"Epoch 1/1-Step 6100... Discriminator Loss: 1.6563... Generator Loss: 0.6171\n"
]
},
{
"data": {
"image/png": 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Efm25DcNByFJzGG9ZihwUp3lnqPTcYm0/q1D9gZF7SqlfUUrtKaW+A+t6SqkvKaVe47/d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\nzl+gGA+ZdVF+6VyIPJ0t0XXd5+IEcoNhe9b0bWqVNm9vLd/0XSIyA+C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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da75392b0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 6110... Discriminator Loss: 1.3800... Generator Loss: 0.9543\n",
"Epoch 1/1-Step 6120... Discriminator Loss: 1.4016... Generator Loss: 0.6586\n",
"Epoch 1/1-Step 6130... Discriminator Loss: 1.4016... Generator Loss: 0.7899\n",
"Epoch 1/1-Step 6140... Discriminator Loss: 1.4648... Generator Loss: 0.7876\n",
"Epoch 1/1-Step 6150... Discriminator Loss: 1.2822... Generator Loss: 0.7874\n",
"Epoch 1/1-Step 6160... Discriminator Loss: 1.4370... Generator Loss: 0.8804\n",
"Epoch 1/1-Step 6170... Discriminator Loss: 1.5832... Generator Loss: 0.7170\n",
"Epoch 1/1-Step 6180... Discriminator Loss: 1.6901... Generator Loss: 0.7309\n",
"Epoch 1/1-Step 6190... Discriminator Loss: 1.4601... Generator Loss: 0.7070\n",
"Epoch 1/1-Step 6200... Discriminator Loss: 1.5494... Generator Loss: 0.8740\n"
]
},
{
"data": {
"image/png": 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wuN4blK8OuD7dHEkCfQt5JvJAvSbVPEsNYDaEGPvMNycdT8F1xLH8pbqk3SqW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\njzrE/wCkPm0MgFJIeQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db7d11940>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 6210... Discriminator Loss: 1.5020... Generator Loss: 0.7783\n",
"Epoch 1/1-Step 6220... Discriminator Loss: 1.3836... Generator Loss: 0.8767\n",
"Epoch 1/1-Step 6230... Discriminator Loss: 1.2711... Generator Loss: 0.7823\n",
"Epoch 1/1-Step 6240... Discriminator Loss: 1.3631... Generator Loss: 0.7754\n",
"Epoch 1/1-Step 6250... Discriminator Loss: 1.2764... Generator Loss: 0.7984\n",
"Epoch 1/1-Step 6260... Discriminator Loss: 1.4023... Generator Loss: 0.8042\n",
"Epoch 1/1-Step 6270... Discriminator Loss: 1.4534... Generator Loss: 0.7786\n",
"Epoch 1/1-Step 6280... Discriminator Loss: 1.4395... Generator Loss: 0.9211\n",
"Epoch 1/1-Step 6290... Discriminator Loss: 1.7293... Generator Loss: 0.7617\n",
"Epoch 1/1-Step 6300... Discriminator Loss: 1.4211... Generator Loss: 0.7980\n"
]
},
{
"data": {
"image/png": 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N5vLy95eL6nzf/lbg5n9on9mPsTdhnAAcYWLNK8h4CyWD9hpNaZxiCcwklWNH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\nAwL6EP8DnGZZpmierAgAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da7242390>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 6310... Discriminator Loss: 1.3222... Generator Loss: 0.7418\n",
"Epoch 1/1-Step 6320... Discriminator Loss: 1.5442... Generator Loss: 0.7134\n",
"Epoch 1/1-Step 6330... Discriminator Loss: 1.3139... Generator Loss: 0.9803\n",
"Epoch 1/1-Step 6340... Discriminator Loss: 1.6821... Generator Loss: 0.5913\n",
"Epoch 1/1-Step 6350... Discriminator Loss: 1.4928... Generator Loss: 0.7019\n",
"Epoch 1/1-Step 6360... Discriminator Loss: 1.7137... Generator Loss: 0.7491\n",
"Epoch 1/1-Step 6370... Discriminator Loss: 1.2787... Generator Loss: 0.9492\n",
"Epoch 1/1-Step 6380... Discriminator Loss: 1.3087... Generator Loss: 0.7035\n",
"Epoch 1/1-Step 6390... Discriminator Loss: 1.5177... Generator Loss: 0.6452\n",
"Epoch 1/1-Step 6400... Discriminator Loss: 1.5534... Generator Loss: 0.7097\n"
]
},
{
"data": {
"image/png": 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cixymFIWQyXUoDgtjgOFufgdqO1amFMVMiV0L4xoKo5gAyVi457YqGvoWxPGl\nldZ3ENEf0Bm76WBDjcPR9N2+4s2bt3O2M5N7xpg2Ef0iEf0la+0Q36LWWmuMeddXDTbU+NS1LStR\njqqsMYK3V+wyrKBpAkSgqn5wYU0JKZO5HGW9lHi5Xy1f/54/RUREa0+/WK2bidT2fKRZgeNdzQs/\nesDLb93T0FFri8+pfulKte6Tl5/hYzxSWeU7E91nLuW2JTRNcG9aJAEtfB5KOSiWfdYi0SIc6dt/\nBi28xwPxbAso/xVSrgTdwGZPPWwiRNM+hDnvPmQvV6tpfngHQpGtptOw0312V3isIyAE65Au7pqJ\nzAGtJBLmXIJaiU5PPXCRsYc9OtCbP5Nec/uANiKARX3Jp2/Eup9MwnkFlFI7FaOiBPlsqJtwLart\nQu9JIdtMdjVwmw+hH+KAx3A4Uv3IRp/PrbsFD3AC5J+MoYVS6VRC0/kceuxByXYu1zuF9uK5INm8\nzYjIlh+hxzecn/iLRPS3rbW/JKsfSRcder9uOt68efv2srOw+oaI/gYRvWqt/e/gI99Nx5u3j6md\nBep/HxH960T0NWPMH8u6/4i+iW46RWnpRLKbJhJ/7CxrzL3d5vdQBEU4ZQaZe7INkiyBKL/kJ5rN\nZ0uAdpLR1VyGbCgp7VxA95wISi6Ph7yvW7tKEgavMZ1xCYjHgUwvZoSFI3ruM0FpGcS903fJrLJA\n/o1d+0Ao+4wl3j0GuekZ7HMk3Ml0qBxKV8qfGyCCCfwa7Usr8RkQUokUlMxhfBeQuTfNeCxbUFAz\nL3lcCyARsSuOSzCcAnS2EW8zAIIyTZQUHc15rA/GOpY7uwwoHzZ1ulOHHIXYlfrC1CQT4mwOZdO2\n5M8DzJyEWLnraUfwDAUyFYuwWxO0Q3ftuGMgmJOmE5XF2L6eeyk9FgsgXGcjHoMRtIE/ACn5sQzm\n7o4+6w25nkbMxzsj0j8Tq/879GRFH99Nx5u3j6H5lF1v3i6gnWvKbmlt1cwxF4hTgMJLIrHVCFl9\nqM13CBRr1QOJLoxGqlpy8lBbE9elg0uzBYx2xPH5fAQtiIcQt5Va7BTSLb/2gNN83zjR49ya8PeO\nIOd2nmPclYc3w1bIAvXNKVYfmnNK7HoIcK8buPPW70XQhsbpF2A7bndlBURfHgKD/0imB+0OqMLc\nZO2CRkvzF8IApkPCmDtRVCKiyTGPx9EOTENAv78Q6DyEPImJ+JsJsOAHxzr+e8Juz+b6eL61K0Vd\nN3VqaEE59U/6AAAgAElEQVRPoZApXdTQbVykoTxVnCSsPYw5MuGuzglbUddFtLO9pc+QhZ9OVzbH\nOH4l4An3KYeIhIP9GehAzKSAbQLP0AlEJE4kJLYH06qe5FmUrvjL1+N78+btSXa+Zbmkb2krunoL\n8JalI8bgTR6A9w+cug10zVlM2ZNMoTDkBN684ZDfhH0g0NpNiYcOlFA6Bm9YSIx8qa3e5UiIna8e\nqGf6x3e5r98YJJJT6I8WidfIwaNUb+QCC0z0/dsQIq/IoVuKZU+wDt1+MD7fluIRA3pzU+ky8za0\nGR/DMVeWmIhqgToQiRdqgz5hEoGHzVzfOfBcLvOyrchgVuq5newziTiHePVA4usWNOjugULPA2k/\n/hBQxFwItAI8fgjltCTLYQMzDSXHQ79FNhTNQ+gzuABPHBainAOZfYl0c4IkUwrqeu4uCzKc6jOY\nSsZdtgACM4NegJFkaAaIEvgvIsQxZFbePZrJNnoe6ze4kMwRj15zz5s3b080/8P35u0C2vnLaycM\nkQIXA59r+mFWyDQgBBHGGhQ2SPeRbKbwZzjkWPsM4NrW85qe213nFNv6khZLuEaEHVDgWRko1D+8\ny0TeSy+9VK27LeTfV1MtoLg1ZGLrVGEIpt86bIhtc9w16ppKrJGIaE3kwA3UlafSJagDeQcLgIBu\n+w4U1AQCaS20rz6G6cEskzTTiULRioeCZqI1UIMpZIwP96AISrQGete0yWQGAp0vSTrz3SMl8ozk\nUTz/lGoobEKnyH2Bx5O39J5YUZ1poFoOpgYLys5hGmhFbaeAe+I2MVCPX4DOwck+n28CeLoncuHN\nmh47aoDGtZxICqm2I2mKOc11/E0LGode4RTbAJrCLuQ8DiG/YW+i9/mRPPerME1p9VgnIpFGmiY4\nmy/3Ht+btwto50vulSXNXVhHXsxppt5yIO2vayAd3YihX5m4pBAIkVhewo0SinQg82/8kLPA7r/8\nWrXuYJ+998mJFrVkIyX6/sHLXyUioi/vAjEmXnUIb/VF+rj6jAE9tMKpzyC5J+QfUjBxrJ6kJbLM\naVPX2UTCSFP1HmFXPeREwnh1eI8327z9zWvQYAKKfO4cMtF0BEUgK5IN2IRsSQP96wK5F1PS/Th/\nNAfNvD947c1q+f/4Oo/h0Uy3uX6Zr6exD4QeZB3ee8jPQQmFSnUhr2qQPYeae7mc+wxKrd1zUEDK\nohNaSqDVdKOjZGYoCCcbQ5adhC8LLOUNH//plEafB8dT16GfXtiD44iyVAE6fUfSfvzRHqA0aPwx\nE/bv6iVFSl2Rj5/mVcrnmcx7fG/eLqD5H743bxfQzhXq50VJB6LyEtf5nZOAWstRpV4DMfeWQjIn\nXW2ArInaDL+KQEmQ47271fLhHhc07O5pYcO9Rwz17+5pFl4KeQB3JHMMO/YEAqdrQC7NHNRH+WaQ\nuI6FDDIA9Yucr7sG5FKnp8TYkWQDlkaP06gzLIQSfAoge24ozFYJmXtN18etpcdp1XWbVclwy4DE\namzweQQggpnBExIIjmxuqt5BKHkYRzANGUG+gJu2NQvoWmR53aNjvWcz0GhJROJ6vauS6TXpq5hH\nCvXjCMZVJHgGkGNgnC75KY1LqdGHaUIdnsFECNRoCTQf5KslEHEFdvSRgp4Cpqgm4e2DELMyoV23\ndMDJ5zBtkilfAtOD1SU9zzTh4yQd1bw5mUhuRSJ5AWfT2vQe35u3i2j+h+/N2wU0Y8+Y1P9R2Oc+\n8xn7u7/xfxERUdzhlNEcUlyPDxmC/+LP/Wy17vf/8P+tlr/6BqfI7h0pbJ9JcUIYoBa8HlPFPKF9\ntcBxC+twGLTQAfTLBUNhQYcbO2TlkdU3xh1H8VdNCm06UHDz3LZCt2CVGVuMCQ9FzqtRVybfQuua\nnkiW4TSkI6wx1qLH8Jp3BSUdaCjZlCKcOnwxx7p0WZ1DEUmjwcdEiSgLeQlHEs+2sE0iEmpN1EOA\n1OxYxrUdgezXMk9D9iEd2IJOfW+Z4+Lr61vVuo4UG+Ez9mCHp4EHhyCX9oZGIUZDnooGMM1rS++B\nAFKz1/pasNORqRF22llIkVUT7kkDekSQPK8z6Njj8kFGU73GvaHmjRwMpRcC6CX0Zf+Xr7IA7c/8\nn79LDw4G75u36z2+N28X0M6V3AuCkGrSijkQL4mKIU5E8Jf+/t+v1r11/+1qeSSdYlCdJpH9NOrq\nPWIgWVxZbgFvfUcOYhklZjxl8kbN0Yu5IhPsmSYnb4DQg9AzRXJu6PFzIZVO4E2PMexM1GemU/XU\nTklmZV07+8QggR1LCegMFXZGjIqGUO6KQpSxZNctATxqxuyVE7iGObQpdzxVDvkLXclqSyC+ntR1\n2ciA1cHz9TvsLXsg/mlCHdi9HRa1HEDsP+kxuTeFTM92RxVvGg327jFkfZaC0ibAHL798CEREd27\nq+Kqb76uHt+1UH/m+na17tIKnyeOy2WQzV4SErJWhyIpVwB2qhYLnjE5txFo1GZC0gaAGhcg/T1Y\n8D0bHGgWJMlzuVI4YVc6k51Fc69ujPlDY8xXpZPOfy7rbxhj/sAYc8sY8/PGAA3tzZu3b2s7C9Rf\nENGft9Z+hog+S0Q/ZIz5HiL6r4jov7fWPk1Ex0T0E9+60/TmzdtHaWfR3LNE5LBFLP8sEf15IvpX\nZf3PEdF/RkQ/8957M0SFxN1FfHG6r5D3V372N4iI6Cuvvl6tK4BciiSdcm1FYdjGBrdSbkB9dB1g\nZ73mxBUVPs2kMwqSPkgIplIEMYVa6qnAsCwFxRSJxc6w8wnAuVDivqBXSaUUbVhQZhnNdCpwIroA\nM4D6LYlhZwuNLachFOwc8QHmAMEH+wxl07nuB5tMulTS5S4o/Uh9fAeKbDAHIZQpUgjkXSi5qWGk\nxON4iEKVXD9fj2FqEkt8voR1QKaZgMcot9AtiPieovpSFEDDVRFdnQz18zHx9rvHmq9x+zanEL/x\nuuZ6DAc6Rs9f4aKuZ7e01fq6KPAs96EVOzR7rYvSD6oilXUmI6dArs5Bvz8VXf2wjUU6QlRDq+8h\niHXWY76enZmmmrtZZOGmfh9lPb4xJhSF3T0i+k0iuk1EJ9ZWNOd94rZa77Zt1Uln/2D/3b7izZu3\nc7YzkXvW2oKIPmuM6RPRLxPRc2c9AHbS+c7PfIct5G3m+q+99Nt/UH337/wKA4YUdMiWmvpmvSol\ntt/9qe+q1n3yGe5m0wY1lwjCQGEkXgquNM9FUw+7lEBZr5PAziFsMhZFlRHone2P2NPvH2loaABy\nydOZeC54v86cRPhA1wWQbpXJuSVQnLTSXyYiogZkMU6gLHcwYC82ONaiovmEyaUSUA3B8nwun0M7\n6EBCVK2Oeu8WoKeWFLbUIGuwLqG5GpBz2FWnK6GwBhB+dVH9QcIPswq7dUZ0KbSLLqTn3RQKYRpN\nyJ4TUJpBO+5C0MFopB1w9nYYCZ2A4lKvocf+c5/hku7PffKanptkOXYhhJfAuQdC0GGb7FJItyac\n4wxIxvlcSnkBBSxEur2Woly7Pv9BJPdvpAgzk8xJV66MJd7vZR8onGetPSGif0RE30tEfaN9q7aJ\n6METN/Tmzdu3lZ2F1V8TT0/GmAYR/SARvUr8AvhX5Gu+k443bx8jOwvU3yKinzOchhYQ0S9Ya3/N\nGPMKEf09Y8x/QURfIW6z9d5WWiolfj09YBWXv/XX/+vq4wd7HGNtQFz8uZXVavmzN68SEdGnri5V\n665uMNRsd1BkUS/LOvUbUMExhiFrCXH8BYhB5rJcwOepFHxMQJ1mNOPzPF7T830IAp5v3mMQNINW\nx9Z18bEK2wcDjcs6kuvSkhbudIRUykJoT53qNrMxTzXmU4WvLoaNhf8YX29IAVELasxrMkZLdb2e\ntR50OpKYPUJ9V2xkgBCsQeZfS2B0EzIEIyEWQyhUqkEmY7sp11voGI0l868BzTdr0IQylNbmAajT\nOCJ2MdF7cnTAxFgBU7unrmrm5GefY7J4Y1WJ1JqMUR00EiLIiXD9Yi0WIrmiMciwLDM9t6DG303g\nWXfpJxGMRZGDAlIpY7ilz/9MtAYakvl4Rm7vTKz+S8Stsd+5/k0i+q7Ht/Dmzdu3u/mUXW/eLqCd\ns/RWQcWUYdft3/tdIiL6hy9/qfq8kNTU7bbGS59bU8j77CVOk9xcUta5I4xrPQEmHwo+qCqUwfpp\n/otdRwIosHA16ijSGEqM1gAMc8sR6NmbAOLZA15+dKAQPJWc3jrEfBcQhYgl9l+DApaxMNVjyMk9\nPtRYrov555lOKZyoabOpY7m+omO5IhB+DaS1mhKdXYN+Ah3oqtMUhj/A+YNMKXL77oXgoeRPNKHG\nPxTojIKX2LnGMdNYVFQTOA23iTJIJ+b0EjqVNJGlHFU5PtTxH0oHoRrkdXz6huaFrK5yzkSzo+Of\nCAYPQVjfQBq20ymwCLMFc0M5Ptlc75/rpBPBebgvF/CMNSHakcrUJ+/pPY1Cvh6XY2HOqL3lPb43\nbxfQzrd3XpHR7Ihjzf/3F7gQ5wSy49pCbF2BN9oGePdVIbmaQEjF4i3hJXnKI1VlxxDfdG2cTzkp\nKKaIHWGFstiCHEoU05Rjl7nuuw8E2rJ4jX3ovlOmfKAEvTwwMlY82/FIS48dsTU80fjtbAKtn4XQ\nCqA8OBSlmnZLC1k2ekqUXttk9LTVBIUecad1cKsBJEC4c0ZCynnBHFzbZKh5Da6keHl9Wa9XYvKI\nwgzcH+NKrCHPwg1RBDdqBllxRsjSsoTSWMmOOz5Wcm8uEtbdpt6nZ69frZYbsj7BZ0zI4gC8aQnn\n5lZDvQ2FcsIRZnLCuE7HQ1mnxwnkuyE8YwAMKRYpoUYDMjgljp8LgXzWMnvv8b15u4Dmf/jevF1A\nO1+xzTSlgwd3iIjo1T2uO8fAYynLbYj5XtlUQqon+ucJEHmRMEAgwEMBQPRScBgSSY7UwwaDp3gZ\n2RkKZ4aSxhtjjoD8LSDlNoUOOL02T1MakE48GjBcxzgyFvmPJa1zCDr/We4KhHQb1OoP5Npq0I2m\n12dYv7kFdeUbCvXX+/zd1YZeo1OLwWkTtpN2CBQLopyYZtAEaAwF2ruPOJehwMIex9ohG2aQfH08\n98LNy6ZTTIlGco/Hpg6df1x8fT7Te5IJRG8DlL+8pTr1TSFqE4jTuxRw9JJY916ha0TZ8uxEMAWq\nQ73+RK4thRTvxBGgMAcNoE18JNOqMHp8aphmHup78+btfex8PX6W094DztgrpVtLfCqMw2+yAIpJ\nNpa1MKItbaLDGEkh2faU1p0eM3CvZihJDciRKOBloCzUvc4xs4zCxzPh3HsT37LFAjLLJJutAUUr\nrpAjhfJezBCcS6lvCdl+iij04BG41f4S662tSBETEdHGKpN317c0K+1KT71hXzLHmlBck4h3SnBc\nkIBz34MClaYoHCVQ6BJFiiyORxJ2hH26Ih2CopYMuvdUq5FblYNPx6A+Y4Bgc2QbsGFJIGXRUObq\n7tUWSHf3oSjJZR0isnMEJpY1G3xeZGQMPAellJOXAANqMAZtGYPDfS2sMjVHImKoEFqSiwR8iBqO\ncs+mc5cp6D2+N2/enmD+h+/N2wW0c4X6YRBSt83QvS9Qp4aQSv5iDTkWhMRCuCDpRq5mPgd4hMX3\nkimHBJyDZBh3jUiJF1vFigG6CbyyQLy4RQMkFarTOGhXi07RQnKNuh+E+m7KghDRbd1oafx2c/NG\ntfzcU58hIqKNdSWptpYYyq5Ca+YeFLVEpai9gMKRlfOITnFuGLPncU1ihPUC9SEe3QTo7OTPLRzH\nCAFXQ5VG6MSTFqAaWp0cj0cG8fMQbqCb0cGwVmKpsylkNMo9ubKieQVIuhmZPliLENs8tnODqqoy\nRjhW7vaVOIWBZzCUY+aYlyBqSRb2U8K4lZLtV2CGpuQGhIRk8fub9/jevF1A8z98b94uoJ0r1KfA\nUFATGCM13wj159I9pgTW0kA81XUawVROKymwgPSpBNijRQvIVDuYhpcP0Dtz+wcWVz4OoObalI+z\n+hiDNQIX41NaAKJ/DsdzuvlERHVJ+Z1DnN8hv0vLquX+/LVnquVPXGFW/+o1jdkvS1y9bhQ2RyXo\n97sOnABFC3dOcD0R1Nk7rQCUBXNdiU7X1uvy1aucDnsC+v6Z9LJHnf8g0lh7KbS+hXFzvQmy/PHp\nFxFRLusRoi/m0kgSnpeOxO+ThkY45gCnnexbAfuOpegrsBCBwqmhzDNykNGajbgwaDTU6z442KmW\npwue2gyG0LdADtmCiEOJYSSZaiygy5I7c3vG4hw9f2/evF04O+dOOgHVO/w2u3r9KSIiavzR16rP\nh0LwZPCWW4ArD6UfWVQDkUx5d0XAbRgky+RNmECnHdfTzpElRKdLcF3vtyDA9yLvZwGx55EUgcwW\n6klnC40zly7bD+L4rkBljLF7IGu6IqgZofS3eLMulNDGNWgxvWCvcnQAXkokoWMsL0XC0JXTwnm4\nYcfCkFOxa+vGRT93HYom0OZ6ASKZcZs9awPKe3Mh705lH2Lyhet0BEjILU8XeD5w7hHvE/m10Qmf\nFBKyrtX6g331xF/54h9Vy89cY1S1vKzkX18KjCLYeQpk5PEx5yrcfu2Nat39e6wojWRvp63k7Mol\nzkhtQrbl4ISzNfMhZvMpMskEzcyhvNeJbeZVGP8jjuOLxPZXjDG/Jv/3nXS8efuY2geB+j9FLLLp\nzHfS8ebtY2pngvrGmG0i+heI6L8kon/PcHXLB+6kE0QxdZc41vxdn/1eIiL6hV/5Nf1c4F6npkUg\nmAY5FsLkeEfhdCoorgs1/Kix36oxvGoB6VOXYogMYOMYij8c9M7g2DuHnGo8Ad12B7iwkCIHGBZJ\njBXJMCfciAU3c0jP7UuDxn6k13NyzNcbQgPFsNAxaJZ8jR1SWE9TPqfD4UG1qlGDgijBhpjL4FRl\nmomOXwFkZiEQfTZTmOtSjEdTTUHudnX7tSsMndcvXdL9lDweUajjBt2vyaU95DDNqKZleL6wnAnJ\nm8H07dEeQ/AYCmWeXWOFnU9DwRJNdSxP9vieFaleY3OJ75k1eh8P7msnntff4qabb93VhjFrPdZB\nePYFJWGXVnUMXKHZyYluEwnxPRjrsfNTacCuAameRz1xKbu8zRm1Ns/s8f8HIvoPSKnvFfomOukc\nnRy/21e8efN2zva+Ht8Y8y8S0Z619svGmO//oAfATjqfe+FTtr3CHmBbyBH07m0J73SAiLv11p1q\neSCe5gS8cy4adU3QietCP+MtOd4mZGqtyvJ8rl738FA945sPuZT07V19Gx+JZ7t2TdVa+l32zgvw\n3kcQnonEuwegyhPINWK4Djv2rEkpbwl98KayzzUg6q6taPHSspTG5rl63Z0BX88RyH2jvFsk7+z1\nnir0dAUJJYHSNcbAeQoSOoF9Ptzn4+yBOtDykso/35BipLim594SAhPlqmMs262O/S6KN1hABORg\nLipEmLlXiP8L4Hoc0bo/UpWgDrS8LqXDzvFUr3H7+U8QEVEt1BDeGNjMmYTXVpd1LFfW2Q8+OFHv\nfXdfe0L2RFOxLOBZlp9jEGAmIWZO8sVFEC4tCqcmJX/pbHYWqP99RPTDxph/nojqRNQlor9K0klH\nvL7vpOPN28fI3hfqW2v/Q2vttrX2OhH9GBH9trX2XyPfScebt4+tfZg4/l+mD9hJxxhDocQlY/m7\nDBD9aMgwq9NQWLgP9dcnE2lCCS2X9yZMONUDhaRPNRW63d9jyFZraLx0fYO3Pz7QacSbd9+qlm8/\nYoi/M1KYNpE2xBagW2Mo52aVdKtBwYcrdW/UoOhCCMwUMClqfn5Ksu/evndfr1HYrks9vYZlKL55\n8JC/e/8YBDqlBv0YYsJ9kC2/scFEU1Dq+LZlmpGAwo6F83QqL7uHWkP+UKZIJ4X6kMM9/XwhjSv3\n93XadP0mw+BPfuKpal0A+QS5QOcM6uhdHH8O06oQ4vhtKRbChp2dLpOe9x7psW/J83A0Uvi//YwW\nPP3x124TEVG3rzH37/9hPt+EoAX3vk5tFiM+p6StU5y9E163aCr8f+W23tPREROCV5d0Grja42Ou\nrOo2jfbj3XsCyG9YiFita0KL05/3sg/0w7fWfoGIviDLvpOON28fU/Mpu968XUA73yIdY8iIjFHc\nZFh5aUVryPdEc38ZYvKbIIQ4kaaDRaBQdHXOcK/RASmlGAowBhxCbDdVtLNe4+9C+J3We/1quRQW\nuN9X2DSKGX6lUDjiZKtGECsPIa2zJ4x5mEDRi3yOTD6Kfj61uUlEROOhwvb7Me/fdXQhIophuS55\nC2vABl+RaxxNFJ7WIT7fFNgYBQqX+z2W6WqBbruBZqJ1uXfrK8CCE4/VstFtTmYKg1fXeEoRZVBv\nL9CYoIkk1vi7vgjYGcg1OM3AV82hKCaOeDwTmPItL/M00kAHnIHo6l9eUji9tbalx7nBn7ea+jzU\nYobwEWnEpg9NTQtJA673N6t1psb7j5ZV+qzT1eO8fusbRES02tZntZXwNbR7OtXtQCSnkKlPgE01\n3XPkVp0xkO89vjdvF9DO1+OTISNeqd7gt/GlFX0jjiSLqQ/kHiqlBHXxYjP1BDdjRg4m0TdnOQch\nS1H6WevrcRLL3qWTqJfqrmv+0YaAjB0g8oqYj22hl1kpZbsF5C4VRs/NSOB8PNPebU0hJkOU9obl\nNUE72+tKFN1/8IiIiHpQ5NGA7K3rm3zCGbTens35PK6t6vli5pnzHmvQT29ZvFgTypojUDOyRSTH\n07F015OTjr+N9PNuhz/fWlMP22rz/e00AVlYzVsIJV5eoJy4xPEbMAYTzH6UnIwSXFlXREHrcA0N\niYE/u6Xed0WHjZ79s3+KiIiWL31Cr1HQZDZQFFZvQ/9GGa9mT8+t3RWEWOiz+MK2jsHNrc/z+QKi\nqkk2Xwzt0AkyEecBE7EG+y7KfXbKQh915p43b97+CTL/w/fm7QLaOZN7REZglxNu3N5ULfjZiEms\nGqgwNmC51efpwfIKpJSGDqdBm+tUibPZiCFkv6YwKxSInkDXFRSI3FhnyLsyVhg2FSIqaer3Skmh\nTEuFYzOA+hMpXAkOQR9AsCg2U0yAfGo3GFZiLsOyxKNbAI2x8KclIpylAbht3b71ewEBgSbj1mlB\ny2WXUYDCpCFqCfB5brShCErSb10zSj5m/NjnvS6cu+RUYJpuDvoDgeQEZHMg9wTqd7s6/lCzRIsZ\njzXUXdF0zl+IoVnlhmz/+U9er9Y9+6LmE3SlkCbq6HSFhABdQCES5l6EdQbYcVuvxxX2tEOoVsdU\naCciC2H3PHPHgSI06BaUS0egU404XQHSE9qUP8m8x/fm7QLauXp8a1UeOZU3/Pbzn6w+v7/zmiwB\n8QXZWe69naDkdtKQfes24zm0kJasN8yoy6XYJ83AE0/V4zSEcFmCooumqOCEEEYz0nVlUaAqjxKC\nLouqBm9955lqsJ8AykZH8rafLXQ/ayKVTajKA+HAWEisMFGU4Eg5PHYSgAqRkKzYnm4mhVMlFPtY\nbNlseH0dehe6zjMog16PFHm0BY1gKLEqPEGJ8RS66gjxmELm3lyKlrp19d45ZkRmck5Q1HJ04jyn\nutVLq0yabm0padxZ1eVE9p/PVaEnFeQwOH6k+x5qNmBqeVwiyPajkMOBSUPvcwllxrZwsuPwrEtG\nXgGEXwrPwUJKhXNAmM6mgkbK8mye33t8b94uoPkfvjdvF9DOFeqXtqxqlzOJpy5f1QKJSGDhHBtK\nQhthIyojYaBQMpKMrflCt5kcKQxLJPYfxVAUI1CqJCjCmUKG2phhaROkpZOI150ShZS4eAkpgICC\nq2XsoJLJ9CIC0gzrqx8eccz/cKxxbdegcQrXmOcoOsl/Y3iPJ3JuNZBCjFCxRqY7cyCPjkTsMQPx\n0DxXWGlFGnwVMitbop3QhDyKOpCVNYGyERaPOEgLkLXM9HoLkbtOAfLOZIoUg7ZBDPFs144ai3im\nLtMNsildF6YI8iACkAYvJOtwfqy5F9Mpj9Hhjlaev/G2Fng5EUwUhu21GeqfmuKcmto4SW5dN5ep\n1nSsmY/TuS6Pp7w8g6Kw49FArtVBfd8005s3b08w/8P35u0C2jmn7AZV/LJV53jqSVMlpFa2nyUi\nooOv/X61rlhAKqfE30Ngt61j8EGqygBVncvnRw8AmhW8bnf/nn4POrQUEglYh9diLLHnBOLrZGX4\nQCIqQMY153NKZwrRQ4H9NYgtG5RakuaTCUDnE4F4dVgXQAzc1WwglK/JOz0GsUYLbH0o9dtNaOhp\nW5LiuqpQPgP46jr+NGp6Hq6HQQFxfIpwWXrHh3BybpoDEZsSpndOG346xqkYLy+t6/i3AfaXroAr\n1+egLmNZQi6Ia+IZIpuOkZgFj3VQ6BSoIbfZdeEhImrAFCpd8BiNhnrdOw8lzXpVi8wwp8KS1NHD\n+TrptBTOB6e9Q5mWzSFKsbMvHXskxl+eMZ7vPb43bxfQziqv/TYRjYibyeXW2s8bY5aJ6OeJ6DoR\nvU1EP2qtfU8ZXWOUaLESlQ+gk8jlp7nd860//P+qdU5amohouS2ddHIUI5TWwRi/hCKe23duERHR\ng0fQtyzjN+fBRPe9va4llT0ppcygbLQoZvIXstokFl+gKKQBLyYE3ASEGV177BZ47wLev4FkEwYR\nIAuJxecgdY0IxXm7HHrAzcR7jIAcKiBvoSYKSA2QIq/LMZtYPAMkZCmeOIWMunTMY5miMg6Qpq6T\nEfZ2c88AtoieQ1bcWFSDZnAfpzP21FugDoTHjKUVNmYDtgQRZCmSYXxuR8c6LulIlxO5f5EFJSVB\nRcsr+ozcvKwFO3f3Wbiz3dXCqjzjn9Z8ArkikEtCkneC7dKd5Dpe13Su25+M+RoPJopGHu4zIeuI\nxTNyex/I4/85a+1nrbWfl///NBH9lrX2GSL6Lfm/N2/ePgb2YaD+jxA30iD5+y99+NPx5s3bedhZ\nyXGcjnIAACAASURBVD1LRP/QsND5/yxa+RvWWoefd4lo44lbi5WlpdnCxWgZkwQdFdtsrPMu5pDy\nuXuoMGypIWmUfSC2Et4eKpirppdERK0+p922AO4Njhg+9VZ0mtGHYiFq8j5nkIrrYrABFpMIdAOe\niDKILY9HDFkPDnUG5Orwl7pKah6DFv9YUjRTOHZ/ibu+LACeTiYKjdOOFHdgQYeQQhnAZQPjMtvj\n9QuI2delKWcD4HQAOQalVMBg6qkrFkqArJzMIP225LHskRKGLhcisyBeCRoKoxFfRwGwdVZ1G4IC\nFUgTjmTqFAXQbUjWLeq6bk+mQ6/derta99kXtVdCQ4Qu86lC+ckOF49hL4RioifXi/letuuq2rO8\nxaKptgAt/pHeH3cVc8iTcETeFDorjSFt+UjIzrd3VPHpxOWf2LNW4rOd9Yf/Z6y1D4wx60T0m8aY\nb+CH1lprsPsBmDHmJ4noJ4mILm9tv9tXvHnzds52ph++tfaB/N0zxvwysbruI2PMlrV2xxizRUR7\nT9i26qTzqec/bSeuAEOUW2IguaIWe4d6T1VhxmPNlppIVlUdCKmk5kpSITuriWWY0vb4qoZVto5Y\nfWUK5F0KyzPL28cphF+EqDMhhA3F85UQPrTYplkIq8lc39qNupxvoPsZgveeSrEKJHRVWWYGvO8s\nQwJISlLHQCKK1zCgurMAT3I4ZFJoiChBUAZ6XyTG6lJu22kq8bjUZ2+3uqQIpglZcbk4ogVhdqMQ\nvJGum8D1nIz53OaQueeKhQoIL+bAZDnlHQPhSSOft+B5capIr+3q44pZm12HIuC5jJfZk8eR7uc6\naOmVsr6Egqaw7ghSlMIGCXEp0sFrHEtob5IB+oEinZMZ39/Dkd5nd+51KdQ6a3Hu+87xjTEtY0zH\nLRPRP0tEXyeiXyVupEHkG2p48/axsrN4/A0i+mXRhYuI6O9Ya3/DGPNFIvoFY8xPENEdIvrRb91p\nevPm7aO09/3hS+OMz7zL+kMi+oEPcjBjTNXpJJGGiXkGhQ0rDKmaPW1hPD7QDjeFZCWlAIWGR5wh\nlUMnF5RqrtekXhyyt7Z7HG+dZ3r5xxNoUjnn40yMwrBJytOMWgsKUERgMiTMolMyx8VlC4CxLn4/\nmCLRAzLTAlV7EEvPpA67FsG+gfSxEp/PIHvxRJpYjocKFVE400iz0qSu5GpdIHgfFI6GMH04lCKe\nR4ea/1A/4c+3oGnm9qbWt7u7G5xq7czXEcK8aAix6cExk6GuaIVIpcUjkE5PgP1LYh6DPNbpTCYZ\nkzDzoyWRs8Zinr0HD6vltW2eZhaQExHIuIcNmGJCzN5JCaC+w0KmSItMm28WhKSng/V63YU0KC1h\nepBB8dJM8k4sdNJxHYZKkUs/a9dMn7nnzdsFNP/D9+btAtq5FukEAVGzwbirFEySA0tbF0Z1aVXj\nqi99+R9Xy9dFbHN1XWFwsOD9PNrTGvwCGPr1VYZuKNAZunTJHMUcFVbu7e0SEdHBSOPvQ0mBfeFF\nlQpbllrrIaTkGijkOBSoOcqh44sUd4yg+KiAGv+eaBKMxwoLhQCmCGu74Z29kOttQJ+AssXrjgZ6\nXSOIHtwQUcmr169X67qisR9Bg1ELx3ENNI8HCl9ff4Pl0h490oaQCwvTlJLHYzyBGHjO+0xaek/2\nBzqGjwYMfy1Iki13OQ+gBjkGJcSuU8kPsXU9Ts09Y1avYUUajx480jj9m/dVUuvpT/P9TY8O9Thy\n7nFDcxEsFFa5uv/hXO/pW/fuEhHRHMRXt65pJKAhvQUymAamMmfA3gCTFKeb/PlgqvscSvp0yzWf\nNWeL53uP783bBbRzFtu0VEpcMnMdQgpgXgy/Ma89pV1OvgxqLt+QYojNG/rmXN5iIvAq9Bu7/1Df\n1vfH7LX3UyWfXPYc9maDpDbqSmviVl97xI3F2125qmgkly4pDx/tVusO99TDvnqHS4Ef7qlwYyGx\n/2yqHm61r0RRVxxaPnu8uAOqWCmA7MY7+3z87WXdj2u13OlrfH06U++yusndf649pdeztMZjGQHh\nhyXDLjfgBNpkNxL2SLOn9Z6tLusxEyGxFlAQ5dSD9o/1Pr0hHpKI6N4Je+MQ7v3SJb4XBoRYUcUo\nEbWkBRBjhSjjoKLo5iW+xrfvKUJ8GTz+Py2FUElbs/DSCZe+zgE9ZZnev709zqS7f6Djcnuf93n9\nac0IrWOmoRSV1SHvgAThzICg2ztUZHIox9850mOnkvCxvcXPg/Ee35s3b08y/8P35u0C2rlC/Wyx\noN3bDH/zkmGPLaGIYcqQKR8odL5xTSHk4oQ/f3iiQoixQPwI0jKXNhWqZvsi7olKMgK340RhEaZ1\nRi2piYd1TYHZ06kSflMpqphDY8ThSKFZKgQetrdOUz5mo6nn2OsorBxJbXh+qjMNw9gCEjKxO8xU\nlgcQCzfE23e7epzVrpJTJmIYvPtIU6Kdlj+eG/YryFOGmIuFTpsaNVHyAf340ICijZBbMGOgVKY5\nwxOdAqEgaV+Ov4CgdC718elE9z0DEncuxUYpTN/cPcd9NyQmf31ba+ujWMnIXZkCbK3rPQlEXDSA\ngieagTJUk/1nd0X3c6OxIeu0N8MM8ixSGVcMu89Ec2AGykM1SLnu1PhZ7zd1PwtJe46lWA0Lsd7L\nvMf35u0CmrH2jKk+H4E9vb1h/5t/98eJSLOdTiDEZASAoFJMjKSba3m9pCRWw3VTAQKnKDQEkrgd\nlCDVLJLd05m+WQ0U+Th+JEe1HXmT1kFzry1FRZ2ueodGW9/wtQ6fZ9hSssuF3k4O1dsdjZX4+m//\np5/hdScaMnMaglc21Es9s62tuT/3wnNERPT00zerdf0VJsOKFFp9Q0EISSgzhD5smSsLBeQwHSuC\nccRaCLLjbSkvbkJ5ddTQ5Zl44LsPNNz35h3Oxswh/FVC2Kon/QkT8F6ZePxw9elq3dKKkq/fuMv7\nfPnV16t1v/N7v0dERIuZkmEngqgWUDhVQJmxIwxDIN1qrkiK1OIQnxdpUQ3EmusYhdtkkHFnxNdj\n1uZKh5/vPrTb7vZ1LF3HJgvFVg059rNPXSciov/113+Xdg8H78vweY/vzdsFNP/D9+btAtr5ymtb\nS3bumgVKE8ocg9P8HsJuIJiNVhchSgtTgUyy4iwUQFhQdjEi72xz6A7jJIuh0CWCIh4H4+ypdsSu\nCSUUm8j0oA4ETDPGVtY8LTDQNnohsN5AcVITpgJ3dzgWPIfMvnWJi2+tKbR97ur1avnaBseKuzVQ\nuZHa72yssL2EsQ5FVDIAxaBAIHE0h+IYGKMKP6YgTS216FFD91ND8VAZw2Wobx8KSWXrOm3KAer3\n23wdCYz/QPIa5lATfwKFTm/tsFT624cak9/Z47EsQTVp6qTOYYobnLrPMqWDDMzlHsPtU3kD8BwU\n8rxGQLgupAgoB3g/AZ0DR0KmsO5wxM9GFsBUtwMKSNYpLek2cxE8OBbSs/BNM7158/Yk8z98b94u\noJ1vHD+ztL8vaZ+SwhnVFO7FIi1VA8gah8pqFlK9MB5l8LlAVgP109DEciFRAwusvnW5r8jkWx0K\nJ7GUQFFM5GqyY4WAifQEMNDEs4S8hGLK52GgtptyqeGHa8QuM48OeFzqILN1ZeMTRER0c+OFat1q\nR/ULw4zPY36i153OOeehhByDDHQM3HpAtFRzwpkwNUkgSmGFVS6Rq5YiqXQM3Y0KjVIYuT/NRKdS\ny30uBppALDyHMTCicxDXdQwaxN99c0e/d+vtl6rl+wecX3H3TYX6U9FYQKjvZpH1uo4/TrVcd57V\nnkZqrq2xbNsy5EHE2IhTno16jIU7PL7HI805OZpo/sP+CecL7EP680SmgelCx7eY6z5dKsp0CtMq\nSQMeyzZF6VN2vXnz9gQ7ayedPhH9dSJ6kTjZ6N8kotfoA3bSsVTSwvUKE1KpgJa/dSFHOi09rVqi\nXiyQeHYIHj2SdRZi92WhiKCQctoQ4vyRHDsEMqYGcduGEH2o2hOLYk0AKjihWwekD8aEjZxHBGii\n3mKEU8Qg9Jkq8eiEKp/avFSt+zOffpGIiG5sav7CahfOTZSCFuBRCtlnrQ7tuGvqDUrLni2BmHwV\nr8ZqIFyuCEns6CNy6SBHPR6pJ6+J4k0ICjy9Ni9H0OwPFZSMEFYhlOW683zjjgo837v/RrV8IK3R\nR8ea9emuI4Zin7qQxVcua87D9UuKnq6KaOjVVVWBurrG3n+pp+XKrZYi1aTB+8TnaSHk7Gik6OcQ\nMk7v73HG5Js72r/xtTc5F2GGcXos4hGE6kp6iYhiUZtyj+AZa3TO7PH/KhH9hrX2OWIZrlfJd9Lx\n5u1ja2dR2e0R0Z8lor9BRGStTa21J+Q76Xjz9rG1s0D9G0S0T0T/izHmM0T0ZSL6KfomOumQtURC\nKrWlqGOyUMKpLmRZQ1EsJSHENAX6RQA1Q2FrDGialyDCeIqIEqtILITyEGd2sBKLa2L5blRTws9B\nfQOxZUJBS3dOMDUJBLqBpDwl0Azz+S2O1f/pTz5brduQWG6/qd9rRjq1CYQ8LAuNv7e7PJZNgIUo\neGkqcgp6AkhORAmKQRaWKXh8KuCGKIUpznCg6cgDqSHfvH6jWtdwUw7s7DMH2F+64hrsj8TrFiOt\no1+J9dzvHUnMHjoDxdLjZR3SiW9eYv2Bp65qnfzlVSXybm6wUOjGik6rOjJdaYBiULMFwptSzBXB\nM2Qtj/9iptODzaFuc22Dv/vpG9pD4v7T/BP60suvVev2IHW7lOuJYCps5FnWfIyzpeCfBepHRPQ5\nIvoZa+13ENGE3gHrLSf8P7GTjjHmS8aYL40hN9ubN29/cnYWj3+fiO5ba/9A/v+/E//wP3AnnStr\ny9Zl5ZUuI8zqW7uSj4a+cSV05nKttQ1kWjkfiBLXIWTSOVUTAu8RCUkSEujwEbTeLnl7C4STrYTQ\ndN+BhL0MyHmjx7dyHOywUjo5ZPSkQEZ+93Ummj55VQtyapLJlYC6jAVCMBMCEzPQEgktRbAuQDQi\nyxbGvxRPW0IWJCaCGVeii8lh8gUsNqnVdTwe3OIybBMr8lje3Hjs3AhI3lx06LJUz8N1BW/Arc0g\nBOiQSQLn0a+xV/3ctqoMPX3tGhERrfTVE6/19dxWxJu2a7qfukh3R6T3KbC4zOcbEISH5doCIFdD\ngjLvmMOkIBxFrjYnKPXefuXlN6vlsWQ3pqDTF8Su7bwgXzqbva/Ht9buEtE9Y4zDnj9ARK+Q76Tj\nzdvH1s6awPPvENHfNsYkRPQmEf0bxC8N30nHm7ePoZ21aeYfE9Hn3+WjD9ZJhxSOjqUWPgSCzU0D\nCuwUAtLIjiMzBuuaJTsOIGuAzQsFfoVYPy2AyKCOMRBsgXT7QQnrUjKisEY/EJgLcqFEMDWpOqdA\nKDy3zHOkQGq6Ongiou0+470kUijprsHk+r0cMrRy6bZSg6KXqhjI6jpAxlVGHZ6cg8sFKMWUp2r4\nHaQFnQIpdsE8CiyuaUiM+94tFdMMpV6/1daCphzVaZxUNsB2J7aDmgJjEPCsydSmEeqz0Wsw1L+2\nrsVNy6Ku1IOswD6Qdg1RZToF5eVyExA4jSHHwJGdFluoB+65q1admgJVmaa5fsGK7Pi1Tc0heHRf\n8xL2BjwIc8jqjGR8j+E2ncV85p43bxfQzl1eOxWvkYm3rMHbq5BSRQu54hZbIbvvIeEXPP7uCkAn\nLpI3M2rUuSgSZtwFkN3lyi9xnQvNoWKRc/6nMt2ARHTfLMFDOmnpdA4SydAKuSVhzjJXDxhI5l8J\najo59J1zuegF6M0tRNcOs8kK8KDGXRt4NipcWBDCeacyEflzc4qUc6QSoCy4P0vS0GTv8O1q3eEe\nJ3gGeG7AIrp23QWgOEfuDWd6btMCiUt5ZqD9eFMagwQg4+RueZI8vo6XH88OjSNXqgvy2JDxWKE8\neA6q5xYVrrAfn4v0Ys6/3J840O8164CeZhK6Q39tXHOY4rHDvZd5j+/N2wU0/8P35u0C2rlC/aIs\naCKFJEZgXi0CiFgVGgCBBrFnJ4CIQofu0xpMDwzGW4W8Mqg0IzgLEWsIhKBDXzFk7lU98aBIx+UI\nGCQO4XpcXJwskJGuFBggNsL6SEgfC1l4puBj5tDW25YAEeXccUrhLg7j9KcKbgQTlgDlrcsnwO+9\ny/QAYb3LAEShyQBKoGtClLY7SjJOx/wMFJlmxxVAjDmxVCRSM4HOMUzjNkDkdH+Hk0jDUzkeMp2E\ngqi6xOcdpH/nspsBYIebmsB6uLVkShwj2U+C5J2oScH4Z6CAVAi5m0NBjutUZCCvIzi1zOPSa4EA\np7CeNn08L+a9zHt8b94uoPkfvjdvF9DOFeobUvilKbbQHFIgqwFW+BSEdDAO4Jxjg7HVdISpqW49\nstOyLjAIl2Eb61KDId1S9mkAzpUOzhW4b2Rc5Xtw7ELg3inNAGDjHZs8h9p6Nx4R7DuEGv/E1WQT\nWAX1IQICERIr9+H0525qAmNuENYbt7FuU0FaiL7kMAaC4DtNVa/ZOeTCk8kIFIEgHTmVmg4UXXWs\nPpDxp2LpYeTuKXTXEcUhjBgEbnqmu6ECpxRS4HXqelzUBPItbAaddESpCXNS3DN2aloEy04wdgH1\n+rMRj8t8piKiBYidziVSE0BEIZRntTqfM9L63uN783YB7XzltQ2Rhm6lIARInUyytxLwxDkQY2Xh\nvKESX9MBvyUx26wFQnJry0yErEAPuaju4vTw3oe3fiFdZixIHzsVF8wHcHFoC2RYCd6ydDFW+DwT\n755BkU4OiMBpEY6gy8+GtMmOQDMvMlBgJB6gPOWKxXMBoWSB/Csc4jCAuAR9hae8PMbs3Z/gnatO\nlUIbeKxCyYhsQgei0rJaz/6elth2sGOMqNdkUIxSCvq6s6e9/kILHrjy9HCNLrPSYLxfujXB+Q6h\nV91kyuPfbsIzJAU9S31FLViC6/INshxyIqpzoMe+R6Rkcwj9GWnO5zY9hucbngNXvHQyVDS41OFi\nH0cMUuk9vjdv3p5g/ofvzdsFtHOF+gGZSlAzEyiKSNIVm2SnYvJqsdBX3a4Wd2wscyzYQhvsyVih\n0HghctUwFXAClKfJPT1ORRRh4NZNTTDFVQqILNJqBuPITmkG01Ez+YtTGIXbO8cMg3OArGtylzLs\nEARkZC77nxUgVz2XGLaBIh0oSnIFOSg7Hov4Ze3UWID+gEwpwhjgqXuEIK8ghelZOnNkmR6n0eRp\nyuFAtVmjmh4nk7GZTjWt2Wkb3DvQ6UGZQccf2RzHzU1TpkDE7eyz7DhqPqD6ktNJqMEU6Iq0zH7q\nhgqg9pdUdjzPpO03ND91cHw0xO45us+aTCViIKIjKZwaj3WsFgsdS1fkM4Fr3D3g52UwlbwA30nH\nmzdvT7Lz9fiGqCUZUbmEhuoREkn8tywxvIVhK/5uDRys0+RLuurZItCmG0qTiZOZvo2dx8EySSy6\nqEg/qGNNBTlUcSUiCkuR14Zy2KimnsBJctsFSHtLwQjq+aEniOUaV6B5Q1O8QwRjhSGqmZT6zqFP\nXjYTghK4nggGLhMCLYQ+bR1x5FtLqDcHTSREWzCH8uCFjMuDPS0fPThUGen5nD1WfwnbizNZNpvp\nvZ0DSnNXZoEsWwhiy6DHXgSkaCqIr9FQ712VX0NmZF0e+Sbc+wR1FEV++1QTFFF0mkFL9w7IaxdC\nrE2HimBmQ74XnZqi0xJCwYkIS05HilqORqxVuH8EmoXg/btCMvaXVT3o6y9zxuLRCR8PQ5PvZd7j\ne/N2Ac3/8L15u4D2vlBftPZ+HlbdJKL/hIj+Fn3ATjrGECXvqI9PUMlEil0Qxi4WSKbxn8FEu7aM\nhFCZQuvgGZAsfYFkLSCP2jFDpS5kk1kg+o4P+TJOhgpZU4kTr2ypmktf4utYs44ZeSbk48TQgy9O\neT8ZKOxgIVJT1CQ7oApjBY6nMAUaDKH9tcTKITRNU4Glwzm0iAaYXMi0oAdTpE4kXXHWFX5ev3q5\nWg5FtWZvR3VVX3+NxTTfPgAZaCD/pkOG2b02qNc0eT/dnk6LGlD85HIyUIkpk+nQCkD0HKZIM+ny\n0wI4bSSHAZWUOm2+J526nk+jr+cROrlqIEpjl4UH+w7hniaSo7ABuvBd0Q2Yz+FZhhh7d5kJw/pY\nCczFXd5m8minWncwgTblMo3pQ57KRH4fE5m6lR9VkY619jVr7WettZ8lou8koikR/TL5TjrevH1s\n7YNC/R8gotvW2jvkO+l48/axtQ/K6v8YEf1dWf7AnXQMaVM/F7u2wEIKyqI4Vhg2gTjmW7scw737\nSGO5Ln65va469I1QIXwq6ZjbLWVCUyeciUUgkB66+5AZ6t1jnblMBYouIK7d6EkHFYhbW0jpTQo5\nj1OdDF0dPOjZw8ddgYsoX1XIWGFMPYGuOC7l9PY9Zdbv7jH0HgDUjAGqbkotez6GluN93ufRQKH+\nEkwpGkL7v/KN16t1f/TqQyIial3SzjQBtKD+xlvc2LIzhNbbImh5dUsv/MZVvT/u2VhAynQu05kG\nRHRmQLw3RGyzBmGMdoPPF2v97x8yYz6Y6HWNoRBmXWD/01v6PPWbArF72k673sSW2dKqHXIVTvZ5\n/H//j7Wx5y2I6TdlqnECz7IT61wFnf8CCsUyGYNZptc4nvP9W2Quz4TOZGf2+CKt/cNE9L+987Oz\ndtIZzT+gFKg3b96+JfZBPP4/R0R/ZK19JP//wJ10bq73bV28zlyIG+ymUhNviZ6pgDd4IuuXOqq8\nUmWbxRD3htdZXZRfuhCbDqsyVvDOQC51pPAhgxyCZshv6LimxSRJrSP7g5Jewsy9xwUXK/UfFPoE\nRLC2zMcOof7UdDgWHAFpVoeLnIuHTECueivk694MdV0Lzr0m175IlcBsSuttRGHpDDvG8HV0QQFm\nRcbKNHR8FyBSurbKQDDBcZH8iATOJwLp6ihhwguLihxAQuK3BajHKfSkUPzUlrbWqKLuvHsA5FxQ\ngLir4W3mc8hylEKaOIF8jRj6KspXDZB7rnfhyoo+q0dQgp65576uJKKTRI8g9n/1iiIhh1zu7SkS\n3ZOCtVyetTM6/A80x/9xUphP5DvpePP2sbUz/fCNMS0i+kEi+iVY/VeI6AeNMW8Q0T8j//fmzdvH\nwM7aSWdCRCvvWHdIH7CTTmAMNQSeuRp1LIl3deARCGP2GwrJutsMDYstgI1ShAI1OmRBwaTZFgIO\nBRcFskYhxGKBOOt3GF6hOs1Kj6Fsa0kJnoakd56qqcbW20JSou5+XTq5FNAhaAG6jS3Xjhu7Q0rc\nttZUaNyChp81OY+VNY257z7iXIfxGPT5ofgplBh4fUVJrFZTBC2hPj2KFN6agqcHy8s6Bs9e5/M8\nBn0A01R4enOZu8KEMJWyknpcjyGHowCtASG0YpgGTiQHYQax/dWOHvNoxPc8hGnGukx9bm5o7kVL\nCrxqDR3LMFZondR5GcuQmkLuRQmIqmKBl9yqWqDns77J7bY/F+gU5tKRPqRTuefZMzerdXmVRq33\nbAKqP3fu3iciojdu66x6XHUdOqW/9L7mM/e8ebuAdu6ae+6AkSO0sBedFFUkKJ8NJEro2luj9pyD\nDOBxaAne5hI2mYw02y+QMs0C+uWBNBC1ekzaGZBYtuJ1G1DCGZHrbILy2uo9QtcaGuWq5dpAGIdi\nyK6zsv8QvKHrFlSDbLMgVq9aq/N3u4AilvpMKk1m0AcPgiqRtAWHy6bFjIm+FCSfo4YeJxGCdF1P\ng8IGj2sPjh3CucWBFL0YvY+uQAv7Bw6OdXkuIaoUtAiduk0HxqULXWZc1fVSU5+DG2tMPLqyWiKi\nJUFsLSg+arYwc4/vWYmITDxxBORcCGgxEDl3A9mYzRZ/frmtx17dIjVBBxbGJZPnYJ5rNt/DHc3i\nuyN99O4daEHT3CE3ySI9FTl+D/Me35u3C2j+h+/N2wW0822aSZaK0nWKcfXiII4oMVYbQ3NBaHjo\nCnti6HpTk5h8FCsJRUaxaCrHG4y1iMTF1xcz/d4cMthCabWMDT3JiW1CpDQkF5NXuBZEAAHd+hAK\nboQgC4GNjKAe/HjKsDKGFCxHDtagRXSUAJyWcTHYUrzN596CjEUq4Hqk4SR28TlOeYzsE67HCjxt\ndBUatzPRSACyywDJFRqG+iUceypTCacJQEQ0h2KsQxFQncI0ZSjjYuASplAQVRcytNvWc1+RHI6l\ntj4bSx3Xoluhfg3i5oFMGdMMcwik1h/GMopgaumKp1BwVGLuqPmQQJzfSJ6FgTyLQsZyNlMoPxlp\nnoWD8UMYF9c5KJZn1dDZsL73+N68XUDzP3xv3i6gnSvUL0tLE+mSMq16wsO7R3Ir68Dk1yFtNhKW\nvQbQuS6plxHActeJhYhocsSs6DHosbcFWjdBbisD6Ba1+PjhKejGcC+GqUkocf4wQFYfGie62DXE\nll1Kr0sbJjqdonwwYEa3BZU7RqIQNZT4gpRTa0QCDCB2TSAgdvYpYYpkhaFOQYgykXWNph4H03OT\nGq8PmhrHnw15m2yquRMwUyDXKQm7+JQSmy5Bwmu20O0PpaPMaKCQdzrn7Y+A6cda9Y0OT9s60JGH\nQv5uC7QA2pJz0WzrNSRNnbq43I0U5K8WM45cNEC7ABoZUSnTAgvpwiSRiRCfl4Yy/E7qDSNHLm0B\nNf8hdYDSBT8bNQjF2MiJ1rroFp3JvMf35u0C2rl6/Lws6VAUR5xSDXZgcR6/DRlqpqGfu4yuGnjI\nSAo5AiCp0qG+rafHLKeMwoxtyeiqtdQTWAQepetCAzkGhs83QHJP3rz/f3vXEiNZVYa/v55dXdXV\n09M93fTMIAPhJZIghBgQF4ZoREJcuVHjwujOREQThbggLk2Mj4UxMRIXxqgRiZJZiIqoiQsUhAjM\nQ4ZhZnoePV39rqnqeh8X5z/1fy0M3TN0V3dR50smc/tW1b3n3FOnzn/+x/cls7YSJNa13TuDVzov\n8wAADStJREFUOLbaVtpmoVLRFK3kJy/6AozxFhUqdVRhiJxQySw5mjKhPSw5HrTbSBuPVqROw98/\nSatuUVmK8kVbDUfGbJUa0qKaBLUjm/TtLS2YRZUbJStDkweY4ShQobeI8rxCRKFldeTNLRE7jTa9\nMGX3vnDCMgzLCS1P3WtjOrfo23YzWRvpILVOZc/MttNSB2ptybLj5t48BQB445XXuueumbDnkoRq\n2nXsOqOaQ1CgIp38pH0HU5PBuUcZgOqITlIWY7JhfWyrqs70qD2D2XZ4Rm/V6nsnxBU/ImIAESd+\nRMQAoqemftsBqw1v5nUln1k0UznrOYbaoAqWjjoyHBXctNQG7JAZW1s1ss2QEtyiNNSyShOnycTm\nmu3Omje/2GGYUHOxzem1uj8Qjt1nzAwLNrhrs5qKN2lZ8cTRfUoVf/0W1eNX1XE2nLO04yw52EKo\nmPygSGkuBIuSthvrFBz9fei5OTVzsyliw6F05EbFm7L1BTKDZ874ds9bvLlA/KiSDJoAZoKH4V3j\nOD2NWTD1a402nfP9eP8d1m+s2OcDHQ9TTS5rrfrSsm0jxkf855tieR3NFXuuwQlJWck4dJ1nF1pe\nWKL30TbQKaHrKJn1WtTFlne1RMpBGb9tyowQ4auOVadh7a1XrJ1hrozmzHu6rFsX15Xl3hziih8R\nMYDobTjPOVR1VU9omCNH4a/wA98ktZoGH2tBQoM40jpa6FGv2IpRq5lDJBEsC2crV0n56AS24o+T\nEys4SDhkg6CscslWh0zbl16m01xyasfBgVmvUWgoZN8lLYTUTtjqsVzTPq6Qg0fbMzdrv/6TE+b4\nCvJ4rOtn8tW24qeZ5UZX4iUKW1U1fJZNWR+Tp61IpFzy5Euz88btl1VHaSpvz29h5Wz3OK+KQMUR\nY+hpqLWxuGj3KS1Z3+aV548Vhi4pbdvtkyRDPmWW1vlZDRFS8ZMymePCvK20e4c1k5BCvsIl3fqZ\nMklRi4Zjr7nhYPccW4tdRifiioSqGzVrdp02ldiuqUbiOnampMrAE6373HlzmopaGRzOy+qKH6yo\nuOJHRERcFnHiR0QMIDZl6ovIIwC+BG9BvgLgCwCmAfwKnpnnRQCfd869I42ug6CpJncqxC/TnOal\nDgrKMBOKtwYxzXXOv8DMQjFhoUy5YS3QKBJdcqupBSpk4nUoBr6mDEBNllzWdnSoJntE7+Mor4D1\ntltNb+ZVqvP2ctqbvAmWZqa69FrI2KMEtFCCvlKxLUyVjkXJNnlb1Ar5EQl7vvkh62NBa9lTlEHY\n1Nrw06fPd8+dv2htr+sWyhFt0pRubVp12zLU1mwbMqW05cx90NbPL5FTbZHUj0JBToXlorVvt0zY\n850jUc2VIPtdp7wPteGbZP9f0nyBNLE8ccFNoPZeI2pvp8VERRIyHSJHXlpr7iXJpJ1KuU0cCs06\nxeQb/rtRp34ndKArJA8+v2xbhUAo2qJswJTOlZbb4sw9ETkA4CsA7nbO3Q4gCc+v/x0A33fO3Qhg\nCcAXN3fLiIiIncZmTf0UgJyIpAAMA7gA4H4AT+rrUUknIqKPsKGp75w7JyLfBXAGwBqAP8Kb9svO\ndSVkzgI4cJlL0MWAtporw0PeI8tkmyElt8NppvLW4xabbuqdXaN67hzVt3daWjNPJI2FnDfZalX7\nzBJxlS9q7X6aZFuK+3xse//7jD8pNeZJHBM589CDTOeOKp50qA+5vI8EtB3VvFORTyrU/RMPQVNT\nNest2kZQf9u6/WhS+nOro9wFpBc/PGLtHNLnnyIBxqzSRRXGLe24eNHM25LGoRdWzWStqAl/rmRb\nAqaoKmh67yjryWvTy6tk6lMcv6HpxPOkHR8iJ/s+cKtd++8nu8flqhfvFN6yaQ5HgrztHd1i1kmh\naWnB4uZB4DQ/ZsJQgfRzXY5GktK9dUvYblgf2rrrbYndZ61l/U1pnkaKtokdNdcpfQF11jgI3ydK\nJU/rBGrLFtfji8gYvE7e9QD2A8gDeGBTV8d6JZ0qJdFERETsHDbj3PsYgDedcyUAEJGnANwHYI+I\npHTVPwjg3Nt9mJV0DoyPulEt80zpLxXHmbulqlTQUW/Y61nN3OO4eUJjmvyj0qGy3dFxv0IXpye7\n53KjftVN5WwVmiaLYE4JDs+eOdE9t6rFENeOGct4qqCrN8lPCzn3ullg2QnrQ8ZnjjWIbTNJv78h\nryFJq2ZLs7LWaJVq0XMJhKQZWglc3R+vLpols3Da4sNpzcgbZpIhtbQSZLWMtUneOukdk+Wate3k\njNd+m1m2+9xI5JZBlYcdVkm1pJaJBn2JcjOWdckrUx+L+lxm82bNpfZ/uHtcPeJzC6qU/7BQ9Ne8\ntGbPJfgDc6Ss1KxRDsG5BQBAbd6cxYESvpYyB2b5tOUyBOdsB1TsE+L45FCVEWv7gZu95ZIiKvJL\ni/7eF0iGvEKZk1X9HiySpVrTMU+G+t0tLMs9A+AeERkWEYHn0j8C4DkAn9b3RCWdiIg+woYT3zn3\nPLwT79/wobwE/Ar+TQBfE5ET8CG9J7axnREREVuIzSrpPA7g8f87fRLAh67kZgkR5Ia8SVLWeCr/\n8jTU4eXYsUUB7UrTO3soBI7CmDefWmKOqwvz5kRZfsOb65NVi4cWRrx5miL2kw6lUy6t6uuk4rNv\nwqdr7pnY3z2X1Lhth2rJ2bkSmHkyQkSgwcSn+3Wq5hQay/rP1ynJIK3qOjV630rVzMo9SjSZoXun\nleFllOLNrQ7FlNVcHyHn32jBm53DRTODs0Pm6GuoQ7F41GSyz/ztr/6ACA0mx207lNAKonmSpW5W\nfN9ePmXpwBfJYVhWoc4WOSuTauof+8cz3XPFic92j/fv8/08RrwApbKyPVE+xrLyNkwl7dqTN5jD\nNqftra/a881qfkOKtoOJppnguYLfyuXGzGx3ST++DTGzXEjUtLDHO4aFJNbnz/vnceT46e65GXou\nM8rOdJ5kzIe1wGu0EHj1Yz1+RETEZdBbem3n0NQVT3Q1ZGUaaEENZya1aFWuKZvLMjk3hpWyOEFM\nPSMTtsIuLPqV5tQpC/3UNcuvRXxzI0PmMMzoajlJ2X6uqMo05Czr/raSGopQxlcnoWwuVPqaSHgH\nUZVCP6urthoGtxktBCgoB95Q0X7NqToY5eCwouKNTKAiz9sQ58mZGYY+SXzVQTqaVKOxRqouaxVv\nNXVS9txuPOSdpgnS+mtSodKKZtwJZe5VlY8uQ07E4TRnY6qTMWtjX9RQ5H1UVFTKvtQ9LmT8uLRp\nJV/QDM/ZZXNqTqjSzgoVdWXy1o78fu98zRZtzJIaGs0S61E2z4pJqqiU4SxTP6aSsIHqUNi2Wvb9\nqJXt+1TS4pwahfBYEzKjYeoRthzUEgp04Sy//k6IK35ExAAiTvyIiAGEsBT0tt9MpASgAmB+o/f2\nESYQ+7Nb8V7qC7C5/lznnNu3wXt6O/EBQERecM7d3dObbiNif3Yv3kt9Aba2P9HUj4gYQMSJHxEx\ngNiJif+THbjndiL2Z/fivdQXYAv70/M9fkRExM4jmvoREQOInk58EXlARI6LyAkRebSX9363EJFr\nReQ5ETkiIq+JyMN6fq+I/ElEXtf/xza61m6CiCRF5CUROax/Xy8iz+sY/VpEMhtdY7dARPaIyJMi\nckxEjorIvf08PiLyiH7XXhWRX4rI0FaNT88mvogkAfwIwCcB3AbgMyJyW6/uvwVoAfi6c+42APcA\n+LK2/1EAzzrnbgLwrP7dT3gYwFH6u5+5FH8I4A/OuVsB3AHfr74cn23nunTO9eQfgHsBPEN/Pwbg\nsV7dfxv683sAHwdwHMC0npsGcHyn23YFfTgIPxnuB3AYvvxgHkDq7cZsN/8DMArgTajfis735fjA\nU9nNANgLX1hxGMAntmp8emnqh44EbI6nbxdCRA4BuBPA8wCmnHOhvnQWwNRlPrYb8QMA34BJzo3j\nargUdweuB1AC8DPduvxURPLo0/Fxzp0DELguLwBYwdVyXb4NonPvCiEiBQC/BfBV59wqv+b8z3Bf\nhElE5CEAc865F3e6LVuEFIC7APzYOXcnfGr4OrO+z8bnXXFdboReTvxzAK6lvy/L07dbISJp+En/\nC+fcU3r6oohM6+vTAOYu9/ldhvsAfEpETsELo9wPv0feozTqQH+N0VkAZ51njAI8a9Rd6N/x6XJd\nOueaANZxXep7rnp8ejnx/wXgJvVKZuAdFU/38P7vCso3+ASAo86579FLT8NzDgJ9xD3onHvMOXfQ\nOXcIfiz+4pz7HPqUS9E5NwtgRkRu0VOBG7IvxwfbzXXZY4fFgwD+C+ANAN/aaQfKFbb9I/Bm4n8A\nvKz/HoTfFz8L4HUAfwawd6fbehV9+yiAw3p8A4B/AjgB4DcAsjvdvivoxwcBvKBj9DsAY/08PgC+\nDeAYgFcB/BxAdqvGJ2buRUQMIKJzLyJiABEnfkTEACJO/IiIAUSc+BERA4g48SMiBhBx4kdEDCDi\nxI+IGEDEiR8RMYD4H3xNtdOcr09tAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da6bd5898>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 6410... Discriminator Loss: 1.4230... Generator Loss: 0.8357\n",
"Epoch 1/1-Step 6420... Discriminator Loss: 1.5231... Generator Loss: 0.8468\n",
"Epoch 1/1-Step 6430... Discriminator Loss: 1.2886... Generator Loss: 0.9715\n",
"Epoch 1/1-Step 6440... Discriminator Loss: 1.5898... Generator Loss: 0.7024\n",
"Epoch 1/1-Step 6450... Discriminator Loss: 1.4828... Generator Loss: 0.6253\n",
"Epoch 1/1-Step 6460... Discriminator Loss: 1.4022... Generator Loss: 0.7826\n",
"Epoch 1/1-Step 6470... Discriminator Loss: 1.4482... Generator Loss: 0.8871\n",
"Epoch 1/1-Step 6480... Discriminator Loss: 1.2896... Generator Loss: 0.8432\n",
"Epoch 1/1-Step 6490... Discriminator Loss: 1.3794... Generator Loss: 0.6385\n",
"Epoch 1/1-Step 6500... Discriminator Loss: 1.3448... Generator Loss: 0.8719\n"
]
},
{
"data": {
"image/png": 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u9sSrznnfUyAGPfCqc5YBPz6SMRspO2hLiPX4tszL0ZEhYltQZlzgkuFyS+oJ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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da704cb38>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 6510... Discriminator Loss: 1.5633... Generator Loss: 0.7200\n",
"Epoch 1/1-Step 6520... Discriminator Loss: 1.2998... Generator Loss: 0.7419\n",
"Epoch 1/1-Step 6530... Discriminator Loss: 1.2107... Generator Loss: 0.8752\n",
"Epoch 1/1-Step 6540... Discriminator Loss: 1.6673... Generator Loss: 0.9346\n",
"Epoch 1/1-Step 6550... Discriminator Loss: 1.4481... Generator Loss: 0.8061\n",
"Epoch 1/1-Step 6560... Discriminator Loss: 1.1742... Generator Loss: 0.7871\n",
"Epoch 1/1-Step 6570... Discriminator Loss: 1.4755... Generator Loss: 0.9317\n",
"Epoch 1/1-Step 6580... Discriminator Loss: 1.4640... Generator Loss: 0.9636\n",
"Epoch 1/1-Step 6590... Discriminator Loss: 1.3566... Generator Loss: 0.7615\n",
"Epoch 1/1-Step 6600... Discriminator Loss: 1.2830... Generator Loss: 0.7147\n"
]
},
{
"data": {
"image/png": 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fQ9TrQ+1YM77hSo6/TET/xFr7K9K8KVV06N2q6Xjz5u3by47D6hsi+lkiesla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\n3jv7Oi4j+LwoptIfXQq46kgL83oNSK4aIVDrc0pED0UdqO9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uJeeGDqniU/88z9Ax47E4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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da69125f8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 6610... Discriminator Loss: 1.6832... Generator Loss: 0.6913\n",
"Epoch 1/1-Step 6620... Discriminator Loss: 1.5239... Generator Loss: 0.8743\n",
"Epoch 1/1-Step 6630... Discriminator Loss: 1.4028... Generator Loss: 0.6859\n",
"Epoch 1/1-Step 6640... Discriminator Loss: 1.4776... Generator Loss: 0.8069\n",
"Epoch 1/1-Step 6650... Discriminator Loss: 1.6406... Generator Loss: 0.7486\n",
"Epoch 1/1-Step 6660... Discriminator Loss: 1.3582... Generator Loss: 0.9390\n",
"Epoch 1/1-Step 6670... Discriminator Loss: 1.6321... Generator Loss: 0.6592\n",
"Epoch 1/1-Step 6680... Discriminator Loss: 1.5398... Generator Loss: 0.9347\n",
"Epoch 1/1-Step 6690... Discriminator Loss: 1.6167... Generator Loss: 1.0672\n",
"Epoch 1/1-Step 6700... Discriminator Loss: 1.4168... Generator Loss: 0.7212\n"
]
},
{
"data": {
"image/png": 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59l2DDTWub6zkPQltWeIlg59NJE99OoUMKOj3NpO8/hi02jLJuT4SqkKib8Se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\njGVvLFv1nXsFb+TaWbf29rTyz07dDH5CRt6yGiZ3qEx2Xu9Xr05UX+M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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da6b39f98>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 6710... Discriminator Loss: 1.5981... Generator Loss: 0.4664\n",
"Epoch 1/1-Step 6720... Discriminator Loss: 1.5008... Generator Loss: 0.7696\n",
"Epoch 1/1-Step 6730... Discriminator Loss: 1.8466... Generator Loss: 0.6465\n",
"Epoch 1/1-Step 6740... Discriminator Loss: 1.4396... Generator Loss: 0.7880\n",
"Epoch 1/1-Step 6750... Discriminator Loss: 1.5017... Generator Loss: 0.7424\n",
"Epoch 1/1-Step 6760... Discriminator Loss: 1.5507... Generator Loss: 0.6303\n",
"Epoch 1/1-Step 6770... Discriminator Loss: 1.3082... Generator Loss: 0.8959\n",
"Epoch 1/1-Step 6780... Discriminator Loss: 1.7568... Generator Loss: 0.5531\n",
"Epoch 1/1-Step 6790... Discriminator Loss: 1.2920... Generator Loss: 0.6762\n",
"Epoch 1/1-Step 6800... Discriminator Loss: 1.5200... Generator Loss: 0.7450\n"
]
},
{
"data": {
"image/png": 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3tLSypIy8R5DKlqaqxixw/CWFg1odvZ4DkFdj0oFr+SYHU315RSBopjTGAwo3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\nDv52WnqeDAUqPJx8rLoBCSBmm+7JwcRB1ldHKhf+aKRwfBs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0jGFx5KDfyy2bp21WjSyz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\nB5EGfkJCDyIN/ISEHsT/ACrZRdjHwnV7AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da6b18c50>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 6810... Discriminator Loss: 1.3104... Generator Loss: 0.9882\n",
"Epoch 1/1-Step 6820... Discriminator Loss: 1.3435... Generator Loss: 1.2353\n",
"Epoch 1/1-Step 6830... Discriminator Loss: 1.1359... Generator Loss: 0.7902\n",
"Epoch 1/1-Step 6840... Discriminator Loss: 1.4087... Generator Loss: 0.6343\n",
"Epoch 1/1-Step 6850... Discriminator Loss: 1.3144... Generator Loss: 0.7056\n",
"Epoch 1/1-Step 6860... Discriminator Loss: 1.4977... Generator Loss: 0.8563\n",
"Epoch 1/1-Step 6870... Discriminator Loss: 1.4116... Generator Loss: 1.0645\n",
"Epoch 1/1-Step 6880... Discriminator Loss: 1.4191... Generator Loss: 1.0519\n",
"Epoch 1/1-Step 6890... Discriminator Loss: 1.5543... Generator Loss: 0.5972\n",
"Epoch 1/1-Step 6900... Discriminator Loss: 1.3013... Generator Loss: 0.9223\n"
]
},
{
"data": {
"image/png": 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b0AEx0xNVvhc7cO8LJV3uZEQvYQA6Bl3RQ+hB4Q7W12ckjwO7AOVl+eVaax8w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\nRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da6ac5128>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 6910... Discriminator Loss: 1.4314... Generator Loss: 0.9101\n",
"Epoch 1/1-Step 6920... Discriminator Loss: 1.3602... Generator Loss: 0.7910\n",
"Epoch 1/1-Step 6930... Discriminator Loss: 1.4245... Generator Loss: 0.8057\n",
"Epoch 1/1-Step 6940... Discriminator Loss: 1.3132... Generator Loss: 0.8169\n",
"Epoch 1/1-Step 6950... Discriminator Loss: 1.4812... Generator Loss: 0.5608\n",
"Epoch 1/1-Step 6960... Discriminator Loss: 1.3330... Generator Loss: 0.7081\n",
"Epoch 1/1-Step 6970... Discriminator Loss: 1.7487... Generator Loss: 0.7917\n",
"Epoch 1/1-Step 6980... Discriminator Loss: 1.3499... Generator Loss: 0.7759\n",
"Epoch 1/1-Step 6990... Discriminator Loss: 1.3482... Generator Loss: 0.9711\n",
"Epoch 1/1-Step 7000... Discriminator Loss: 1.2888... Generator Loss: 0.9719\n"
]
},
{
"data": {
"image/png": 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jzTYbD4Fc7YumHLy/XegzBuIrAe/v0Mxiovux4iwrbT1OCCW4hXh6DD8aUf3p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\n4kQTqeZP+USGb0yasmvX3gPdz8OaleTg3Xd1j12cPqMVsvom6sXX4SB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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da6c07940>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 7010... Discriminator Loss: 1.5234... Generator Loss: 0.5683\n",
"Epoch 1/1-Step 7020... Discriminator Loss: 1.4594... Generator Loss: 0.8179\n",
"Epoch 1/1-Step 7030... Discriminator Loss: 1.2845... Generator Loss: 0.7871\n",
"Epoch 1/1-Step 7040... Discriminator Loss: 1.7051... Generator Loss: 0.4298\n",
"Epoch 1/1-Step 7050... Discriminator Loss: 1.8542... Generator Loss: 0.4715\n",
"Epoch 1/1-Step 7060... Discriminator Loss: 1.3809... Generator Loss: 0.8507\n",
"Epoch 1/1-Step 7070... Discriminator Loss: 1.3072... Generator Loss: 0.7898\n",
"Epoch 1/1-Step 7080... Discriminator Loss: 1.4766... Generator Loss: 0.8204\n",
"Epoch 1/1-Step 7090... Discriminator Loss: 1.3707... Generator Loss: 0.6629\n",
"Epoch 1/1-Step 7100... Discriminator Loss: 1.4636... Generator Loss: 0.8876\n"
]
},
{
"data": {
"image/png": 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8VwNeqpDtFYbEzqXpSfYikmmyfa6FOozdkWVIRjrtvzXUZEQu1x/PB4+utnGH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\n8T98KoC/3JnZCgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da62d46a0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 7110... Discriminator Loss: 1.3131... Generator Loss: 0.7485\n",
"Epoch 1/1-Step 7120... Discriminator Loss: 1.2582... Generator Loss: 0.9262\n",
"Epoch 1/1-Step 7130... Discriminator Loss: 1.3768... Generator Loss: 0.9119\n",
"Epoch 1/1-Step 7140... Discriminator Loss: 1.7029... Generator Loss: 0.7280\n",
"Epoch 1/1-Step 7150... Discriminator Loss: 1.2092... Generator Loss: 0.7597\n",
"Epoch 1/1-Step 7160... Discriminator Loss: 1.3700... Generator Loss: 0.7609\n",
"Epoch 1/1-Step 7170... Discriminator Loss: 1.4676... Generator Loss: 0.7798\n",
"Epoch 1/1-Step 7180... Discriminator Loss: 1.3671... Generator Loss: 0.9741\n",
"Epoch 1/1-Step 7190... Discriminator Loss: 1.2731... Generator Loss: 0.6481\n",
"Epoch 1/1-Step 7200... Discriminator Loss: 1.3359... Generator Loss: 0.7306\n"
]
},
{
"data": {
"image/png": 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02wlDZvCdkXxnPFUlnwiy/UaHPEddWGrVXItpKLIp4Xr2D4YydihNlvs4hsy8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\n/ICALkR48AMCuhD/Ay4oasFllQRdAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da6245438>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 7210... Discriminator Loss: 1.5297... Generator Loss: 0.8224\n",
"Epoch 1/1-Step 7220... Discriminator Loss: 1.3420... Generator Loss: 0.7128\n",
"Epoch 1/1-Step 7230... Discriminator Loss: 1.4625... Generator Loss: 0.6799\n",
"Epoch 1/1-Step 7240... Discriminator Loss: 1.1714... Generator Loss: 0.8914\n",
"Epoch 1/1-Step 7250... Discriminator Loss: 1.5818... Generator Loss: 0.7320\n",
"Epoch 1/1-Step 7260... Discriminator Loss: 1.3664... Generator Loss: 0.7976\n",
"Epoch 1/1-Step 7270... Discriminator Loss: 1.5032... Generator Loss: 0.4953\n",
"Epoch 1/1-Step 7280... Discriminator Loss: 1.5580... Generator Loss: 0.9459\n",
"Epoch 1/1-Step 7290... Discriminator Loss: 1.3796... Generator Loss: 0.7077\n",
"Epoch 1/1-Step 7300... Discriminator Loss: 1.4201... Generator Loss: 0.8195\n"
]
},
{
"data": {
"image/png": 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79LoZIxgLRB0SkyJlbhD5MakZY3m1QfiV83fUQikjhl8S9DahMWsZzuED0mRl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\nMS8pEmidHcKSQtpJ2xyahOb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evF1E8z98b94uoJ071BdlEmtOKudEXMDTaCm5UWTQPJKV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\nI8DjnV7AK+nU6o2tT8jIyNh1dOLc+whwQVVnAUTkOeAxYFxESvbWPwp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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da6514d30>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 7310... Discriminator Loss: 1.4778... Generator Loss: 1.0325\n",
"Epoch 1/1-Step 7320... Discriminator Loss: 1.4020... Generator Loss: 0.8997\n",
"Epoch 1/1-Step 7330... Discriminator Loss: 1.3293... Generator Loss: 0.7710\n",
"Epoch 1/1-Step 7340... Discriminator Loss: 1.4421... Generator Loss: 0.7427\n",
"Epoch 1/1-Step 7350... Discriminator Loss: 1.3939... Generator Loss: 0.7963\n",
"Epoch 1/1-Step 7360... Discriminator Loss: 1.3132... Generator Loss: 1.0574\n",
"Epoch 1/1-Step 7370... Discriminator Loss: 1.4085... Generator Loss: 0.7144\n",
"Epoch 1/1-Step 7380... Discriminator Loss: 1.6673... Generator Loss: 0.7668\n",
"Epoch 1/1-Step 7390... Discriminator Loss: 1.7228... Generator Loss: 0.6862\n",
"Epoch 1/1-Step 7400... Discriminator Loss: 1.3159... Generator Loss: 0.8038\n"
]
},
{
"data": {
"image/png": 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hK+oU6hUc3xg0wGsK8VrMlIgjyHgMwljOQ73hfMLeO2qo964l6k0LOecx5Lab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\nAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da602cfd0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 7410... Discriminator Loss: 1.2452... Generator Loss: 0.9329\n",
"Epoch 1/1-Step 7420... Discriminator Loss: 1.3113... Generator Loss: 1.0131\n",
"Epoch 1/1-Step 7430... Discriminator Loss: 1.3944... Generator Loss: 0.8405\n",
"Epoch 1/1-Step 7440... Discriminator Loss: 1.5701... Generator Loss: 0.6464\n",
"Epoch 1/1-Step 7450... Discriminator Loss: 1.5497... Generator Loss: 0.6989\n",
"Epoch 1/1-Step 7460... Discriminator Loss: 1.3282... Generator Loss: 0.8715\n",
"Epoch 1/1-Step 7470... Discriminator Loss: 1.3463... Generator Loss: 0.9407\n",
"Epoch 1/1-Step 7480... Discriminator Loss: 1.3872... Generator Loss: 0.8756\n",
"Epoch 1/1-Step 7490... Discriminator Loss: 1.4650... Generator Loss: 0.7903\n",
"Epoch 1/1-Step 7500... Discriminator Loss: 1.6060... Generator Loss: 0.7171\n"
]
},
{
"data": {
"image/png": 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lkSkg05xECwmdSgRIlrSo512FDLR7d1fb1iHwGRO5N6X2yXMQmEZDtZLlHgIq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\n46Z87ia9obrgPAXpMjHadq3aFHraWKYwYeunTJMO/bR7fWqOah3Q9qx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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da6492438>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 7510... Discriminator Loss: 1.5941... Generator Loss: 0.9093\n",
"Epoch 1/1-Step 7520... Discriminator Loss: 1.4365... Generator Loss: 0.8351\n",
"Epoch 1/1-Step 7530... Discriminator Loss: 1.2449... Generator Loss: 0.9179\n",
"Epoch 1/1-Step 7540... Discriminator Loss: 1.2767... Generator Loss: 0.7730\n",
"Epoch 1/1-Step 7550... Discriminator Loss: 1.3225... Generator Loss: 1.0675\n",
"Epoch 1/1-Step 7560... Discriminator Loss: 1.4835... Generator Loss: 0.6993\n",
"Epoch 1/1-Step 7570... Discriminator Loss: 1.5442... Generator Loss: 0.7474\n",
"Epoch 1/1-Step 7580... Discriminator Loss: 1.2541... Generator Loss: 0.8181\n",
"Epoch 1/1-Step 7590... Discriminator Loss: 1.5195... Generator Loss: 0.8365\n",
"Epoch 1/1-Step 7600... Discriminator Loss: 1.3852... Generator Loss: 0.8290\n"
]
},
{
"data": {
"image/png": 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Y/5x6EPrSa5LQszinqcVIRlZiFzUH4p9yzgqkT+PljPs8hmt3H5Rtu7tMhNbh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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da5e43978>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 7610... Discriminator Loss: 1.4413... Generator Loss: 0.6986\n",
"Epoch 1/1-Step 7620... Discriminator Loss: 1.1399... Generator Loss: 1.0401\n",
"Epoch 1/1-Step 7630... Discriminator Loss: 1.6043... Generator Loss: 0.8657\n",
"Epoch 1/1-Step 7640... Discriminator Loss: 1.2415... Generator Loss: 0.7136\n",
"Epoch 1/1-Step 7650... Discriminator Loss: 1.4320... Generator Loss: 0.8120\n",
"Epoch 1/1-Step 7660... Discriminator Loss: 1.4469... Generator Loss: 0.7746\n",
"Epoch 1/1-Step 7670... Discriminator Loss: 1.5370... Generator Loss: 0.4515\n",
"Epoch 1/1-Step 7680... Discriminator Loss: 1.4170... Generator Loss: 0.7300\n",
"Epoch 1/1-Step 7690... Discriminator Loss: 1.3316... Generator Loss: 0.7466\n",
"Epoch 1/1-Step 7700... Discriminator Loss: 1.3313... Generator Loss: 0.7142\n"
]
},
{
"data": {
"image/png": 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BZjGhJma/elCGnHfYLpRhQEI5dywZsIQBDsWc4Zmd63FSgbeZBTlwt0+kSR71ikLjTVEP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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da5c6c550>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 7710... Discriminator Loss: 1.3184... Generator Loss: 0.9367\n",
"Epoch 1/1-Step 7720... Discriminator Loss: 1.3341... Generator Loss: 0.7573\n",
"Epoch 1/1-Step 7730... Discriminator Loss: 1.1874... Generator Loss: 0.8370\n",
"Epoch 1/1-Step 7740... Discriminator Loss: 1.4749... Generator Loss: 0.7949\n",
"Epoch 1/1-Step 7750... Discriminator Loss: 1.4547... Generator Loss: 0.8975\n",
"Epoch 1/1-Step 7760... Discriminator Loss: 1.3196... Generator Loss: 0.8681\n",
"Epoch 1/1-Step 7770... Discriminator Loss: 1.1391... Generator Loss: 0.8448\n",
"Epoch 1/1-Step 7780... Discriminator Loss: 1.5548... Generator Loss: 0.8652\n",
"Epoch 1/1-Step 7790... Discriminator Loss: 1.3386... Generator Loss: 0.5819\n",
"Epoch 1/1-Step 7800... Discriminator Loss: 1.3970... Generator Loss: 0.8801\n"
]
},
{
"data": {
"image/png": 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z4xmTueTV398xHv8mSD5rSAbc2zM503/4FZE+/u2X3yIioiuLQuD4ULI6rsz5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\nf6mkU1AwQNiQ6ocQTpnZd4FXgGXgT0Rqfz6ENc59Ejh8mUOsP55T2JS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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da5af5470>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 7810... Discriminator Loss: 1.2564... Generator Loss: 0.8303\n",
"Epoch 1/1-Step 7820... Discriminator Loss: 1.5232... Generator Loss: 0.7860\n",
"Epoch 1/1-Step 7830... Discriminator Loss: 1.4922... Generator Loss: 0.8832\n",
"Epoch 1/1-Step 7840... Discriminator Loss: 1.1502... Generator Loss: 0.7599\n",
"Epoch 1/1-Step 7850... Discriminator Loss: 1.3228... Generator Loss: 0.7369\n",
"Epoch 1/1-Step 7860... Discriminator Loss: 1.4072... Generator Loss: 0.9205\n",
"Epoch 1/1-Step 7870... Discriminator Loss: 1.5092... Generator Loss: 0.7181\n",
"Epoch 1/1-Step 7880... Discriminator Loss: 1.2182... Generator Loss: 0.8111\n",
"Epoch 1/1-Step 7890... Discriminator Loss: 1.4104... Generator Loss: 0.8939\n",
"Epoch 1/1-Step 7900... Discriminator Loss: 1.2429... Generator Loss: 0.7198\n"
]
},
{
"data": {
"image/png": 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zoeraJ2O3IN4G3vHYEsiKso4FiN7b43rwGXT+qVZ1jvpvvy7n0+M0lqUI6AnF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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da58dc7f0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 7910... Discriminator Loss: 1.4885... Generator Loss: 0.7308\n",
"Epoch 1/1-Step 7920... Discriminator Loss: 1.5290... Generator Loss: 1.0555\n",
"Epoch 1/1-Step 7930... Discriminator Loss: 1.2758... Generator Loss: 0.9313\n",
"Epoch 1/1-Step 7940... Discriminator Loss: 1.3991... Generator Loss: 0.7532\n",
"Epoch 1/1-Step 7950... Discriminator Loss: 1.3558... Generator Loss: 0.7273\n",
"Epoch 1/1-Step 7960... Discriminator Loss: 1.2681... Generator Loss: 0.8287\n",
"Epoch 1/1-Step 7970... Discriminator Loss: 1.4279... Generator Loss: 0.8256\n",
"Epoch 1/1-Step 7980... Discriminator Loss: 1.4797... Generator Loss: 0.9346\n",
"Epoch 1/1-Step 7990... Discriminator Loss: 1.4607... Generator Loss: 0.7711\n",
"Epoch 1/1-Step 8000... Discriminator Loss: 1.4272... Generator Loss: 0.7907\n"
]
},
{
"data": {
"image/png": 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Jt+z7JSL6Q2vtc0T0h/L/3rx5e4/Yt4T61tp/Zoy58pbdP01EPyLbv0JEnySiv/Etj1WW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\n8VpgqvO62YhUkUTNXG8Ss9umLYV6M5rMen81Weg9EU3vSwUobxzBpy+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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da5d799b0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 8010... Discriminator Loss: 1.2898... Generator Loss: 0.7857\n",
"Epoch 1/1-Step 8020... Discriminator Loss: 1.4224... Generator Loss: 0.6170\n",
"Epoch 1/1-Step 8030... Discriminator Loss: 1.3454... Generator Loss: 0.7413\n",
"Epoch 1/1-Step 8040... Discriminator Loss: 1.3122... Generator Loss: 0.7526\n",
"Epoch 1/1-Step 8050... Discriminator Loss: 1.4496... Generator Loss: 0.8310\n",
"Epoch 1/1-Step 8060... Discriminator Loss: 1.2493... Generator Loss: 0.7688\n",
"Epoch 1/1-Step 8070... Discriminator Loss: 1.3621... Generator Loss: 0.6786\n",
"Epoch 1/1-Step 8080... Discriminator Loss: 1.5462... Generator Loss: 0.7908\n",
"Epoch 1/1-Step 8090... Discriminator Loss: 1.4604... Generator Loss: 0.7219\n",
"Epoch 1/1-Step 8100... Discriminator Loss: 1.4296... Generator Loss: 1.0000\n"
]
},
{
"data": {
"image/png": 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SxKFt884ESFxL0hqjjx/mbljBUuAIyXJ6bYhhI6FrlzalokL9qeR9DEEEsyTF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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da58f4550>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 8110... Discriminator Loss: 1.4757... Generator Loss: 0.8027\n",
"Epoch 1/1-Step 8120... Discriminator Loss: 1.4487... Generator Loss: 0.6392\n",
"Epoch 1/1-Step 8130... Discriminator Loss: 1.4130... Generator Loss: 0.7898\n",
"Epoch 1/1-Step 8140... Discriminator Loss: 1.4286... Generator Loss: 1.0276\n",
"Epoch 1/1-Step 8150... Discriminator Loss: 1.5710... Generator Loss: 0.7437\n",
"Epoch 1/1-Step 8160... Discriminator Loss: 1.3216... Generator Loss: 0.9824\n",
"Epoch 1/1-Step 8170... Discriminator Loss: 1.4902... Generator Loss: 0.7336\n",
"Epoch 1/1-Step 8180... Discriminator Loss: 1.3396... Generator Loss: 0.7715\n",
"Epoch 1/1-Step 8190... Discriminator Loss: 1.4304... Generator Loss: 0.9224\n",
"Epoch 1/1-Step 8200... Discriminator Loss: 1.4550... Generator Loss: 0.7752\n"
]
},
{
"data": {
"image/png": 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3JMe5LkK0gPwcUY2IFeYydUU84PEjQa/WodePyuMbY/6hMWbTGPMqjC0YY37DGHNN/u28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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da5af0588>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 8210... Discriminator Loss: 1.4445... Generator Loss: 0.7623\n",
"Epoch 1/1-Step 8220... Discriminator Loss: 1.4200... Generator Loss: 0.7617\n",
"Epoch 1/1-Step 8230... Discriminator Loss: 1.1172... Generator Loss: 0.8498\n",
"Epoch 1/1-Step 8240... Discriminator Loss: 1.5483... Generator Loss: 0.7358\n",
"Epoch 1/1-Step 8250... Discriminator Loss: 1.6734... Generator Loss: 0.7975\n",
"Epoch 1/1-Step 8260... Discriminator Loss: 1.4886... Generator Loss: 0.6588\n",
"Epoch 1/1-Step 8270... Discriminator Loss: 1.2841... Generator Loss: 0.8001\n",
"Epoch 1/1-Step 8280... Discriminator Loss: 1.4488... Generator Loss: 0.8065\n",
"Epoch 1/1-Step 8290... Discriminator Loss: 1.5152... Generator Loss: 0.7439\n",
"Epoch 1/1-Step 8300... Discriminator Loss: 1.4619... Generator Loss: 0.7942\n"
]
},
{
"data": {
"image/png": 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o4gzDvV0JrY1BASm02WHQb2/AXjsCLxRA5p6tyUiBMEwYua1vCko7hBBVELJn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\nRhDhxg8IGEFsydQXkYcBfBPewHkNwNcBTAP4I7wyz8sAvuaca216EAD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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da5c38f28>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 8310... Discriminator Loss: 1.3789... Generator Loss: 0.8775\n",
"Epoch 1/1-Step 8320... Discriminator Loss: 1.3144... Generator Loss: 0.9968\n",
"Epoch 1/1-Step 8330... Discriminator Loss: 1.6090... Generator Loss: 0.6775\n",
"Epoch 1/1-Step 8340... Discriminator Loss: 1.2479... Generator Loss: 0.8178\n",
"Epoch 1/1-Step 8350... Discriminator Loss: 1.5151... Generator Loss: 0.8977\n",
"Epoch 1/1-Step 8360... Discriminator Loss: 1.3956... Generator Loss: 0.8187\n",
"Epoch 1/1-Step 8370... Discriminator Loss: 1.4939... Generator Loss: 0.7903\n",
"Epoch 1/1-Step 8380... Discriminator Loss: 1.3979... Generator Loss: 0.6723\n",
"Epoch 1/1-Step 8390... Discriminator Loss: 1.3989... Generator Loss: 0.7754\n",
"Epoch 1/1-Step 8400... Discriminator Loss: 1.3765... Generator Loss: 0.7052\n"
]
},
{
"data": {
"image/png": 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d7XzfgAnXMQha7oOwZtE2poRiIdtkUmMzSxhbwo1DbZydiGjMy4sRnGcC9e8J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\nWudQP8uVc1DlxoptimFPR9vM8fw5KXZoczHL+roQcVVfYHC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ULow3pFbyfl+c8SMiIjZA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\nLaN/ywAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da6023b38>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 8410... Discriminator Loss: 1.7072... Generator Loss: 0.7592\n",
"Epoch 1/1-Step 8420... Discriminator Loss: 1.4405... Generator Loss: 0.7637\n",
"Epoch 1/1-Step 8430... Discriminator Loss: 1.3000... Generator Loss: 1.0078\n",
"Epoch 1/1-Step 8440... Discriminator Loss: 1.4366... Generator Loss: 0.8232\n",
"Epoch 1/1-Step 8450... Discriminator Loss: 1.6770... Generator Loss: 0.6622\n",
"Epoch 1/1-Step 8460... Discriminator Loss: 1.3857... Generator Loss: 0.7809\n",
"Epoch 1/1-Step 8470... Discriminator Loss: 1.3647... Generator Loss: 0.6839\n",
"Epoch 1/1-Step 8480... Discriminator Loss: 1.2338... Generator Loss: 0.8962\n",
"Epoch 1/1-Step 8490... Discriminator Loss: 1.4571... Generator Loss: 0.7776\n",
"Epoch 1/1-Step 8500... Discriminator Loss: 1.3789... Generator Loss: 1.0501\n"
]
},
{
"data": {
"image/png": 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mzdsLYs+E+tba/9sYc/N9u3+MiP4Ub/88Ef0WEf2lMxyLqlygPkMugM7SkCANMSYMMWWG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\nLHQlDRlihpB+G8E9TRnql1C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1HeKKOYuRSAm2LAXSE5sS8ffrWCebFcRpMlPkMF/oc1Bz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\nNuV/qwBNz4Xnf8E0X09e+/+wlTX+JPCUiPRL4IV6HngfeBf4gh2TKuk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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da6344208>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 8510... Discriminator Loss: 1.4961... Generator Loss: 0.7628\n",
"Epoch 1/1-Step 8520... Discriminator Loss: 1.4442... Generator Loss: 0.7187\n",
"Epoch 1/1-Step 8530... Discriminator Loss: 1.4512... Generator Loss: 0.9546\n",
"Epoch 1/1-Step 8540... Discriminator Loss: 1.4886... Generator Loss: 0.8847\n",
"Epoch 1/1-Step 8550... Discriminator Loss: 1.2711... Generator Loss: 0.9819\n",
"Epoch 1/1-Step 8560... Discriminator Loss: 1.4398... Generator Loss: 0.7477\n",
"Epoch 1/1-Step 8570... Discriminator Loss: 1.3999... Generator Loss: 0.7235\n",
"Epoch 1/1-Step 8580... Discriminator Loss: 1.2959... Generator Loss: 0.8604\n",
"Epoch 1/1-Step 8590... Discriminator Loss: 1.4778... Generator Loss: 0.6832\n",
"Epoch 1/1-Step 8600... Discriminator Loss: 1.3924... Generator Loss: 0.9010\n"
]
},
{
"data": {
"image/png": 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K3/OWL3+3RVbzRJ67IWgz2tuvIF5q9ffw8c0AMSyGHOrdf1DNKOGycsyEfZx9rMdXSv1t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\n2rp2EIiM+LNBLPByh9VpJu+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1petrtpRXciYmQ4M86tCtJqrJdr1j7mmzdaXcZ494egjZ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\naA5mJ4M5Pn3FPeuWUBKViXrWicCcqVPbbXuWyMpTM87sX6Sy3ULL1qI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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da59b9978>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 8610... Discriminator Loss: 1.3040... Generator Loss: 0.7070\n",
"Epoch 1/1-Step 8620... Discriminator Loss: 1.2790... Generator Loss: 0.8604\n",
"Epoch 1/1-Step 8630... Discriminator Loss: 1.2457... Generator Loss: 0.8689\n",
"Epoch 1/1-Step 8640... Discriminator Loss: 1.4526... Generator Loss: 0.7422\n",
"Epoch 1/1-Step 8650... Discriminator Loss: 1.3948... Generator Loss: 0.8504\n",
"Epoch 1/1-Step 8660... Discriminator Loss: 1.3248... Generator Loss: 0.9155\n",
"Epoch 1/1-Step 8670... Discriminator Loss: 1.5329... Generator Loss: 0.8403\n",
"Epoch 1/1-Step 8680... Discriminator Loss: 1.3771... Generator Loss: 0.7440\n",
"Epoch 1/1-Step 8690... Discriminator Loss: 1.3710... Generator Loss: 0.7733\n",
"Epoch 1/1-Step 8700... Discriminator Loss: 1.2870... Generator Loss: 1.0761\n"
]
},
{
"data": {
"image/png": 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EYUcn045jPRZH04Fy2J0b7Kuee/EF3Q+E6RJBXDXI7BsdM0oYN/UZQmXv2YTP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\nkMFQDaFcLWhu1ouL5jVEuUShwZHeE0niCp62N5eHGT8goAfR2dp5BhC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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da68b26d8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 8710... Discriminator Loss: 1.2801... Generator Loss: 0.8817\n",
"Epoch 1/1-Step 8720... Discriminator Loss: 1.4866... Generator Loss: 0.4617\n",
"Epoch 1/1-Step 8730... Discriminator Loss: 1.4093... Generator Loss: 0.7667\n",
"Epoch 1/1-Step 8740... Discriminator Loss: 1.4472... Generator Loss: 0.7394\n",
"Epoch 1/1-Step 8750... Discriminator Loss: 1.3565... Generator Loss: 1.0057\n",
"Epoch 1/1-Step 8760... Discriminator Loss: 1.5551... Generator Loss: 0.8387\n",
"Epoch 1/1-Step 8770... Discriminator Loss: 1.4306... Generator Loss: 0.9035\n",
"Epoch 1/1-Step 8780... Discriminator Loss: 1.3470... Generator Loss: 0.7870\n",
"Epoch 1/1-Step 8790... Discriminator Loss: 1.1758... Generator Loss: 0.9317\n",
"Epoch 1/1-Step 8800... Discriminator Loss: 1.7832... Generator Loss: 0.5622\n"
]
},
{
"data": {
"image/png": 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CSCyM7c8Vq7g4NMRg944YYuYzyICCDKtJxrB0ClCzOeVjbh/qvhRkpne2uDSz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\ngJRrN9nT//gnb5X7GoD8dvYZJXztrbvlvg0py90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dCoD4AODcTODeXN8++YuQHxWDEslW\nawHZ1RDYnkPBTQygbjSWmDzGwuXzdVg2VWqgkjPg+TqCHIQ3v8px8SEscbC325ffZGWd7UOtrX/x\nuZtERLQGktrxksL2TIqxDvv6PQ82+TYxu0octjE/wvCY67BvKORsBATbSkeXfE6WfAsITHrA17EP\nGYKLktW5cFXJ4CbE8fuSYTjY11v53kzyPda0QOjCgn630z64s6mw/kt/8joREe0fgex4Z7nc7qyx\nSGkbXO/0kJcc+/u6NBnDssrF+dM5afbjnaROY6cR23zDWvsJa+0niOhTRDQiol8n30nHm7cPrD0r\n1P8MEd221t4j30nHm7cPrD0rq//TRPQPZfuZO+mEYUAdEUiMRc89gr7TSSLQOFd4A+FSSkVnfZZD\n8UzBx2k3FcZayE09OGL49dZYIfjWEUO3LkDJl1Y1FfSgz8d/7ubz5b6dA45H7x3slvv2BnycRl3Z\n3AnkBrgmlnNdceTvSew+EVFVYCPqCzhBxhTFNiE12EUAri5CMUqV8yUio8Uok5E+5w+GjBdbkR7z\nS19jpv/t+8qcf+pjL5Tbjx4zBH17WyH6kqDXtH+/3Ndr6ti7NYbEn/veT5T73rjHS4av3VVonKY6\njkbE1/RiTxtxDqacBry0pEuKqKMQvfLlrxMR0Q4sKRalW9DFZV3mbcqy6LUvvVHuO4KW2E1J5f3Y\nTY3yFIaXD4MJtOCGeU0lfr+xredTk1j82s0Plfvefqyvf/UrrxIR0ZW2Hudai5c4XRARPYT7yS0z\n47loh7zm7rFvctNMEmntnyCi//3dr522k85gMjvpLd68eTtjexaP/xeJ6EvWWtdK5pk76VxZapct\n7JwKtYn1iddo8uNrcabusFJVL7Y3FCIP0uPaQpgstDWbz46BY5yInPeRPm1f3+DtDGLyn7xxudz+\n8ArHs+uLigKqiVOAURJwf4dRgA31OLf3lJixzvkgkfeUwh0iorYQhg3s/yflsAFmqmXQOUgy1G6u\nqmdri6c1EPONoGDnR1/h/iidJSU4b9/nbjgjyJy8fl2B3PcQj239D18v9+3u8+3Q6ul1Wl7VuWy1\npPx3Tb13+zrLmy9d065EOzuK8oa7PIc3Qj3mIBWlJWjhjdLf1y7wtToAMqwnCklrizov1YSR4Upb\nibZ9kHgvRkxcdgC1LEnhTgOQZAUyJx1jbeDntLLAx+929Lyjpt6jiRQQdUNQ5Rny/VSDa4Z9IN21\nPIkYNqdU3im/6xne+zOkMJ/Id9Lx5u0Da6f64RtjGkT0WSL6Ndj914nos8aYt4joh+Xf3rx5+wDY\naTvpDIlo8V37dukZO+mYIKCkzrBpJMFI7HwSSyFMpw3qMjX4fI0JrfEUdNIl7XZ8oFC+CcXSdTlA\nf64LihwbatoN1PB/+JMfIyKih4909dKRmu4mtFdeFk30jUOtP0/gdaeiYyAWruKLqKWv24ttHge0\nfqSgKvXeIPRfAUXMJdH6vwRNQF9+4QYREbVBsaYGHYha0gp8lClhtX7I0BuzpHsQn39l8RIREe3k\n4C+GvJ750IsK7y/dfK7cjmUJVpDC6Z4sC+o9JdCyoV6L0T7PZ/stnf9hyt9ZhwKsINIJWZa4ev2h\nHqfX4/cutZTEXV5m6J3Hepyiok1ARwNeg9ZIScJWxPvSAZB7qOopt2OMhUZSlRQMdem3VtF5WxPy\nMIdGm/mQP38EOQSVWMeRyDETqHiK3g3/T4n4feaeN2/n0M62kw4RkXg/1/FkH7yQkSwzzBarVdXl\n18V75aHu63aZrEmgXJNG+pQ93OdsqPEjJX0qomjTjNUTzAgyx5rs5V748Eq5b7DD4arZoRJSTntu\n50inEZVZXDbhXCkvuUwrAkOijj1+CPNSyHjxYR7BMRdEEjoOdF6smyMQ4qtA37lAjokZdXtS9rkI\n2X4xhK0al64TEdEnb+k4Drckogthp4PH2juvZrlIKASZ6EQy5bBcNgDtv6WLTK7mVQ0rrsvYLEpU\nw4S48Cdq4TnpnBoo+TQkjBy3QFodwrrhIt9jYaGZef19Rh6jsX5hMAP4JaQrREZp0ueQ51JPz7sJ\n43DwDbM+UzmhEaqXQ7jbZYAWJ/QCfFbzHt+bt3No/ofvzds5tDOW1zZUEbmYlmF49XhDhRszV9SS\nQZcYiJ1WE4ZftUShWU3yAJbaSkJNIn398Q7DtPFUoVlDIG9cAUgLcG8kmgErS9AqucIQcN9oHfdg\nMpK/euw5CC/bOcTPXd30k3ob1psyJqg1GbmmmNBhJcp1XlrSCBJbjv+rz3+NiIhWq3qJP3ZJY/I1\niYe/fvftct+6ZOZde/4KnAMQVm6uITZdkWuWIM4FFaJAzjQG0jORzLwArpMB0clYlikXLqmWwDUp\nkBlD5mSyqMTlhSVe8lko1krdcgnyNSLJeKyAWk40Q2FTybYsdOlyKHXy6CUDxNgOg6NCjxQVhYVC\n+Zh0OZO6oi9YImVyH81AbDbNj+fFxSDAacqlzbP1yfYe35u3c2j+h+/N2zm0M4X6logygS6Vsne5\nDmE0ZtgzBdXICdTEj4VJbWg9DtUqIt4JUN3GCuGHrng50O9xEkbVBBo1gqyS61KTQh/4QgqDUpBK\n6kut+RHU/0+g9tuVx8/p3QssfJIcVy5jqkFsfyDMfGAxHwAiBa5oA9I7D6Wm+yKkPIfQLcjUXOGP\nfndD9AlCYP+LmrLfQY2P1V5WKFoRvYNqDSSv2hojJylWsZAzUQgstTgLcG6m4HmtQvy9J2m34/56\nuS+EApdV6auQwDWdSvFNnoIUm2xXUNIKlnyBRJQmQ43ZF3IPVSC9HKNNrltODeL4/YzviQwKyuJI\n58XKUm0C1zGTG2UC8H4KSxd3zbMTqmLC90gFf7d5j+/N2zm0M/f4M+InbS71thV4QruuNyN4Qtup\net1IqvuyQp9XdfFCVYh3jiYam96RohlwxKVaC6r/PNzSzL+izsUqXfBS1ZwJntFQx9OXYhaUAJ9h\nXoJreY0SOzLMJynwbMu5r0HI14osc47kEXjIA0FIzRiyycSjVSHTbTzWeR0Qz8vRAPIFAvb4X7mj\nc9H60qvl9osjfm99UfMbqlLsEmOqYYjbIhQKORMue9HONRUEAk78UQaKQibi1zPwaf1tJYari5x9\nh7kKj/e4bPp6R1HPghOyRE8K5F8upN5opNfZAdAY5LFtCEhIUE8Q6Hdnco8dDfVe7IFikDsPFDN1\nd9EEyOAM5igSIg/nzZXj2mfsnuc9vjdv59D8D9+bt3NoZwr1s9zSzoDh8WzMUGo4U7DjoOgQaqpT\ngKdUCNxOobhG6qtDiDePZgrT9o4Y0g4Hui8XaLcH+/a+rjXmG/scq//IzRvlvk6Vn5GHY4VuuyPe\ndiQfEdEMYJqD5sUJQojYBtsC1n+wz6meFoQ1c8lbiJ5Q2LMhWvGVCZB3mRuPfmfSUsjbl3EGAMEb\nDd5XgzbXMRBoE4Gajbp+JpK02xBiy4XV+chk6TKnOCTQGGPlBM05KeTvT/U2oP6Qr0kKkky7m5pT\nUUgMfACptFO5VsPVDPbxPTSG5WAGqbROMALj5zsHfE22d5Xww54LE2mr/pW37uqARXCiFelcHkKH\nISc4NJ6gmCwfZzjTuRgBuT2Rc8dOOqksKZ5RgMd7fG/ezqOdqccvyJZPrYF49T5kKbmn2wzcnFrI\nVwAAC39JREFUFEjLlf3Ripm6gu19zuSKIggnQRvtRHqg9bE0VjxXDJ6rCV1dWktMFA2gRbeVDCtI\n8qKh7JtiNxTw+C50hx4/OuFRmwNhtXnE3iWG0FxY49cTqEoJsZBDzmcK4bqqeJr9PoRGU/3yO4+5\nAGZjT1HPC9KC+gc/90PlvosvqWaci09mM/VSU2k1HrRAbhpQRD7h14scUhFJSNqZtimnVLdd2HC8\nr+PdeMxhvBuLOgdTIAS3HnHx1PaRHmci3r8PJbQl2TbQ98UQ2osC1/Ja76fWEocS9zO97+73tYCo\nL1l6M6jQaokOYwYXan+k3+numOlIjzmSsf3/7Z1LbFxXGcd/37xsx3Zs58mkCUkKUdsoKrSqUKuw\nQAFEqRArFqCqCwQ7JEpBgkYsKpZIiMcCISEqFggBoq2gyoJX6A4ppW1Kk9bNg4Y6TmMnduzx2J6H\nZ+awON/1+VxibCf2eCZz/pLle+/ce88599xzz3e+x/+zHpgl826VVTq2St6avm/1jeLci4iIuHMQ\nB35ERAdiVaK+iDwFfBUvSJwBvgzkgd/imXleBZ5wzv1fGl1HSN+ceB9VTFqQqm7XjGLFpgFOzrTx\n7Ynd9YZh4KFhY6VVyWJEUepeDO4x2XMGtoXAk515n2Wlt8sElqSUhWUqNLGRThRBQZSsGTGskSQy\ntMq9m0hkVu81M6uZZ3qC+JlqqE3e0CrbIJFkdZHOGI+6Ll/Ce8VAhX2gHMR60WVOw3ibFUqqXLJe\na0ZEz/V6ETzdG4JjGqqBq1snPIxyT63T9YWgTFtQEb9UDH0m5aCoQ5dnk5Ohbu+NedG6PGiCscxz\nLas4nzHx+En2nYIRl5N6Vo0CuLYQFHDdSqxpXREGVMF539Ddi8fmK6E9s+rhWZozHpyqvK4ZDeW8\nyQBVV+1eyTDwFLR/CsYvZM4ojhP/lnmjEE/GylqzZa8444vIXcDXgYecc0fwz+SLwPeBHznnPgxM\nAV9ZW9ERERGbhdWK+hmgR0Qy+GTVV4FjwHP6e8ykExHRRlhR1HfOXRGRHwAjQAn4C160n3aBB2kU\nuGvF0kRwaV9kVvnjc0Zs6dbY8bqxa4vRkidxyJlUuKZH46czzthILamkio1ZY5uulbz422dE/cH+\nEPkzpOfWTJBOVuPNt+RMMkvVvKfM0sLGgy/yH9rQbRXyzWlLxP5KSQlFzSc5l65qW4NLaNoENy2o\nK23Z2LCL82o/zwf++ENH7l3cvqfbu/LuHQuEllPX/fbwhXcWj2V7gx0/v8/7NXQb7oOM8hQ4Y4ev\nlANZ5EJdl0ilsOSozHuxfq4QKNIwpJRJ7vqR0dCP1254As4qgRjT2gnKaun5wEDo09EZ338jU4EM\n9ciHkmSZZskmxvafuNIanwinViYxtF85457bp023PieVYmJzD/dumGeUrNpq5t2pqRWpYa1JS9y0\n/XbF+J8nXA/JO7RudnwRGcLnyTsI7AF6gUdXef8lmXRKpZhJJyKiFbAa5d6ngEvOuesAIvICcBQY\nFJGMzvp7gSs3u9hm0tm1c9BV9VOTeKslKYYhfAUz5pjNg5dSO/aS3HqqNEoZeuyKCfJJPNga5luY\n2G2diW+cmTapiZWAcktvsOVmtvqZZM7k4Jue9dfYIJ3aEradpfW2B5dLa1zXr/lUKXzV+/S5bDHZ\nW7qMUq5HQ2JnCmEOnCj6Or07GhhripNBITV89nUA/nH+0uKx7Tq7794VFJ19PSEn3rzef6uh3N6+\nx7PkZI30dGM6BM/U6372bsyGWXe26LcnTa650owJuNFZ8rWRMMOOT6k/QHcop5YOfeFXobDPsPKc\nvuzbfnHMlK2+Iv29oZ9KxvY/qc9rYiJIKJmUKkLN+1I3CsOaKgoXzHtXrGi67Uq4d4+h196e5Dk0\nr8aCeuxVjMRqlXtF9RspLVjlt/+fTgLCVjnnr2aNPwI8LCJbxKvTPwm8BbwEfEHPiZl0IiLaCCsO\nfOfcKbwS7zW8KS+Fn8G/A3xTRC7iTXrPbmA9IyIi1hGrzaTzDPDM+w6/A3xsLYWlROhL2E40+4uY\nAAnR71DWBOlUjTItCc8umZj4ujKcbB0IyrnevmCzr88pUaIJfOjRGHHLyjM7F0S7Rs6Lgfffd0+4\nT9WLrC+/8a/FYyNjXiwslqzLbmiv3ES7V1+04/9vnLWvkyr/zFJAerzoJ0ZBmTMuyAMa551Oh6XJ\nzJz6N8yEdl27FpRuTt2J93QF99r9g15M3p8PCrRtW4NonVVPipp1PdUgqLJJSnpp+HS4foe/56Cx\nv0vd12m6EJ7b+HgQaSt6/M3RUE5RE6amUiYO3myn076fB/vDc8trGu2R68FH4MyFy/5aI2LnjItH\nvzIG5XJhydCV0Sw9hvopYX4CmNXMN9MTIefCZEG5+OcNoWjKBCLpsqFmFHmJu3DOkBuUzPJiruKf\nf7URjiWvSTpZHi/H4vo+RM+9iIgORFODdCSVIq1cZXX1UurJmeCZXv+FzppQxqox91XVQy5rqJhF\nU2ZnTC45y+qTkiTvnAn80XDNqjHXpa2XXs7PJAUTyDGvSj0TJUlVmYDq5vtpJZjEu24J47bSLWfN\nef3d4Qtf1hR0tavWs0zNOCagqZQzZiB9hpl0uM8Hd/kZdsAoPc8YM93eIT+LHb0/BOHkdaY3aeXI\nDoSd7JZ+baOhia742Xu+HJSjdaOYvDHmfy9Mhgc3VvAz8Pl3g7Lx8nho7/i4V8YVbBagrPbJvGER\nMjTsCxn/XolJ/Hf4gLcwZ4x0VFepaNYc22Hel8TE258yHI7K7pRKBeWpGO6crm7lgtwa7lNu+OtT\npp/EUJCndNsq7+bU88+Za5zpU5eUb8zdGQ1x7lNpsDxnjZzLI874EREdiDjwIyI6ELKcPXlDChO5\nDswBEyud20bYQWxPq+JOagusrj37nXM7VzinuQMfQERecc491NRCNxCxPa2LO6ktsL7tiaJ+REQH\nIg78iIgOxGYM/J9vQpkbidie1sWd1BZYx/Y0fY0fERGx+YiifkREB6KpA19EHhWRcyJyUUSebmbZ\ntwsR2SciL4nIWyLypog8qce3ichfReSC/h9a6V6tBBFJi8hpETmh+wdF5JT20e9EJLfSPVoFIjIo\nIs+JyNsiMiwij7Rz/4jIU/qunRWR34hI93r1T9MGvoikgZ8CnwUOA18SkcPNKn8dUAO+5Zw7DDwM\nfE3r/zRw0jl3CDip++2EJ4Fhs9/OXIo/Af7knLsX+Ai+XW3ZPxvOdemca8of8AjwZ7N/HDjerPI3\noD1/BD4NnAPyeiwPnNvsuq2hDXvxg+EYcAJPCzEBZG7WZ638BwwAl1C9lTnelv2Dp7K7DGzDx9Sc\nAD6zXv3TTFE/aUiC1fH0tSBE5ADwAHAK2O2cu6o/jQG7N6lat4IfA98mBHNu51a4FFsDB4HrwC91\n6fILEemlTfvHOXcFSLgurwIFbpXr8iaIyr01QkT6gOeBbzjnZuxvzn+G28JMIiKfA645517d7Lqs\nEzLAg8DPnHMP4F3Dl4j1bdY/t8V1uRKaOfCvAPvM/rI8fa0K8THAzwO/ds69oIfHRSSvv+eBa8td\n32I4CnxeRP6DT4xyDL9GHpSEwK69+mgUGHWeMQo8a9SDtG//LHJdOk9hvITrUs+55f5p5sD/J3BI\ntZI5vKLixSaWf1tQvsFngWHn3A/NTy/iOQehjbgHnXPHnXN7nXMH8H3xd+fc47Qpl6Jzbgy4LCIJ\nbVLCDdmW/cNGc102WWHxGHAe+Dfw3c1WoKyx7h/Hi4lvAK/r32P4dfFJ4ALwN2DbZtf1Ftr2CeCE\nbt8NvAxcBH4PdG12/dbQjo8Cr2gf/QEYauf+Ab4HvA2cBX4FdK1X/0TPvYiIDkRU7kVEdCDiwI+I\n6EDEgR8R0YGIAz8iogMRB35ERAciDvyIiA5EHPgRER2IOPAjIjoQ/wX02oxEvvhD/wAAAABJRU5E\nrkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da69fe7f0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 8810... Discriminator Loss: 1.4859... Generator Loss: 0.6879\n",
"Epoch 1/1-Step 8820... Discriminator Loss: 1.3202... Generator Loss: 0.9934\n",
"Epoch 1/1-Step 8830... Discriminator Loss: 1.3614... Generator Loss: 0.7921\n",
"Epoch 1/1-Step 8840... Discriminator Loss: 1.4707... Generator Loss: 0.8216\n",
"Epoch 1/1-Step 8850... Discriminator Loss: 1.3681... Generator Loss: 0.8966\n",
"Epoch 1/1-Step 8860... Discriminator Loss: 1.4595... Generator Loss: 0.7677\n",
"Epoch 1/1-Step 8870... Discriminator Loss: 1.2765... Generator Loss: 0.7567\n",
"Epoch 1/1-Step 8880... Discriminator Loss: 1.3029... Generator Loss: 1.0909\n",
"Epoch 1/1-Step 8890... Discriminator Loss: 1.4201... Generator Loss: 0.6570\n",
"Epoch 1/1-Step 8900... Discriminator Loss: 1.5210... Generator Loss: 0.8050\n"
]
},
{
"data": {
"image/png": 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qQoz2E/0AjHkQbYocVJyyDCJBYyH/sJLRQ1bQcfZQ5J6U0nqRiL5Gx6ymgwU1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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da59b9ac8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 8910... Discriminator Loss: 1.6994... Generator Loss: 0.6114\n",
"Epoch 1/1-Step 8920... Discriminator Loss: 1.5626... Generator Loss: 0.6903\n",
"Epoch 1/1-Step 8930... Discriminator Loss: 1.6196... Generator Loss: 0.7636\n",
"Epoch 1/1-Step 8940... Discriminator Loss: 1.3288... Generator Loss: 1.0120\n",
"Epoch 1/1-Step 8950... Discriminator Loss: 1.4728... Generator Loss: 0.7880\n",
"Epoch 1/1-Step 8960... Discriminator Loss: 1.5478... Generator Loss: 0.7824\n",
"Epoch 1/1-Step 8970... Discriminator Loss: 1.5614... Generator Loss: 0.6430\n",
"Epoch 1/1-Step 8980... Discriminator Loss: 1.5400... Generator Loss: 0.8293\n",
"Epoch 1/1-Step 8990... Discriminator Loss: 1.4078... Generator Loss: 0.6796\n",
"Epoch 1/1-Step 9000... Discriminator Loss: 1.4296... Generator Loss: 0.8616\n"
]
},
{
"data": {
"image/png": 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dNGoQzhPeJgzxDc0vsgn0wRvAccajsVwD9JqTegTM9TaAIsI5L4cF9Si1Ba5R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\nVzIJLqW6SFjbIDuRjF5R983W1pOot3Jd7zF9qVp/Jrmm2uCZrVlW1tK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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da7047da0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 9010... Discriminator Loss: 1.3790... Generator Loss: 0.8356\n",
"Epoch 1/1-Step 9020... Discriminator Loss: 1.4117... Generator Loss: 0.7046\n",
"Epoch 1/1-Step 9030... Discriminator Loss: 1.2722... Generator Loss: 0.8328\n",
"Epoch 1/1-Step 9040... Discriminator Loss: 1.4026... Generator Loss: 0.7923\n",
"Epoch 1/1-Step 9050... Discriminator Loss: 1.4994... Generator Loss: 0.7725\n",
"Epoch 1/1-Step 9060... Discriminator Loss: 1.3455... Generator Loss: 0.7827\n",
"Epoch 1/1-Step 9070... Discriminator Loss: 1.4406... Generator Loss: 0.8783\n",
"Epoch 1/1-Step 9080... Discriminator Loss: 1.5039... Generator Loss: 0.5461\n",
"Epoch 1/1-Step 9090... Discriminator Loss: 1.4151... Generator Loss: 0.8387\n",
"Epoch 1/1-Step 9100... Discriminator Loss: 1.2660... Generator Loss: 0.7873\n"
]
},
{
"data": {
"image/png": 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id4fvYHsSoMygAOvcYuCydOoqe4eKLIIq6OLJtaNLzBFFWDYaI/IcSxaA5HZD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\ncDTM2K9RMQq6DGZ8CrpFWjVbx0wgHo0UuY0VkVYoeR2bs6SRk0tlE4U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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da701b780>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 9110... Discriminator Loss: 1.6979... Generator Loss: 0.7636\n",
"Epoch 1/1-Step 9120... Discriminator Loss: 1.3256... Generator Loss: 0.8592\n",
"Epoch 1/1-Step 9130... Discriminator Loss: 1.3613... Generator Loss: 0.6400\n",
"Epoch 1/1-Step 9140... Discriminator Loss: 1.3697... Generator Loss: 0.8042\n",
"Epoch 1/1-Step 9150... Discriminator Loss: 1.3631... Generator Loss: 0.7997\n",
"Epoch 1/1-Step 9160... Discriminator Loss: 1.3487... Generator Loss: 0.7175\n",
"Epoch 1/1-Step 9170... Discriminator Loss: 1.5507... Generator Loss: 0.6901\n",
"Epoch 1/1-Step 9180... Discriminator Loss: 1.4207... Generator Loss: 0.8358\n",
"Epoch 1/1-Step 9190... Discriminator Loss: 1.3789... Generator Loss: 0.7480\n",
"Epoch 1/1-Step 9200... Discriminator Loss: 1.2807... Generator Loss: 0.6159\n"
]
},
{
"data": {
"image/png": 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7CRCLI1DJqRqXvXU6Sy8GgiyDsdwW1aAMtnEEWaOuyCKBNuZWEMcMyKdYwqB7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\nJkSc+BERTYj/AsvbkkDkNrrHAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da72d7128>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 9210... Discriminator Loss: 1.5555... Generator Loss: 0.9003\n",
"Epoch 1/1-Step 9220... Discriminator Loss: 1.5975... Generator Loss: 0.8965\n",
"Epoch 1/1-Step 9230... Discriminator Loss: 1.3636... Generator Loss: 0.6376\n",
"Epoch 1/1-Step 9240... Discriminator Loss: 1.2529... Generator Loss: 0.9186\n",
"Epoch 1/1-Step 9250... Discriminator Loss: 1.4379... Generator Loss: 0.8917\n",
"Epoch 1/1-Step 9260... Discriminator Loss: 1.6029... Generator Loss: 0.8227\n",
"Epoch 1/1-Step 9270... Discriminator Loss: 1.5843... Generator Loss: 0.7934\n",
"Epoch 1/1-Step 9280... Discriminator Loss: 1.5361... Generator Loss: 0.5071\n",
"Epoch 1/1-Step 9290... Discriminator Loss: 1.3000... Generator Loss: 0.8819\n",
"Epoch 1/1-Step 9300... Discriminator Loss: 1.4055... Generator Loss: 0.8635\n"
]
},
{
"data": {
"image/png": 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MufCW4Z8kou+X7V8loj8hor97lAO6um0H8ZFACwOBOKhIAwUfLvPMgLy2g7kGYKyBpUDR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\nRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dbc6df3c8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 9310... Discriminator Loss: 1.4435... Generator Loss: 0.8696\n",
"Epoch 1/1-Step 9320... Discriminator Loss: 1.4161... Generator Loss: 0.8086\n",
"Epoch 1/1-Step 9330... Discriminator Loss: 1.2543... Generator Loss: 1.0072\n",
"Epoch 1/1-Step 9340... Discriminator Loss: 1.3282... Generator Loss: 0.8115\n",
"Epoch 1/1-Step 9350... Discriminator Loss: 1.5271... Generator Loss: 0.6300\n",
"Epoch 1/1-Step 9360... Discriminator Loss: 1.4608... Generator Loss: 0.8856\n",
"Epoch 1/1-Step 9370... Discriminator Loss: 1.4150... Generator Loss: 0.7733\n",
"Epoch 1/1-Step 9380... Discriminator Loss: 1.3764... Generator Loss: 0.6170\n",
"Epoch 1/1-Step 9390... Discriminator Loss: 1.4807... Generator Loss: 0.8092\n",
"Epoch 1/1-Step 9400... Discriminator Loss: 1.3529... Generator Loss: 0.9089\n"
]
},
{
"data": {
"image/png": 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tW8g5+2PQGpQZ1sSQK4Elr4WoHR7oWA13nQagIoMZPG9TIYYrEI1JgiDzCcjH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\naq8LGT2Z6RikQvRhflYbypT3BNWiHLYjYvuQzJNCctlsKoh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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da70affd0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 9410... Discriminator Loss: 1.2223... Generator Loss: 0.8422\n",
"Epoch 1/1-Step 9420... Discriminator Loss: 1.3734... Generator Loss: 0.9582\n",
"Epoch 1/1-Step 9430... Discriminator Loss: 1.3146... Generator Loss: 0.7735\n",
"Epoch 1/1-Step 9440... Discriminator Loss: 1.3670... Generator Loss: 0.7866\n",
"Epoch 1/1-Step 9450... Discriminator Loss: 1.4191... Generator Loss: 0.8354\n",
"Epoch 1/1-Step 9460... Discriminator Loss: 1.3997... Generator Loss: 0.6151\n",
"Epoch 1/1-Step 9470... Discriminator Loss: 1.4929... Generator Loss: 0.6021\n",
"Epoch 1/1-Step 9480... Discriminator Loss: 1.5720... Generator Loss: 0.8717\n",
"Epoch 1/1-Step 9490... Discriminator Loss: 1.4754... Generator Loss: 0.8908\n",
"Epoch 1/1-Step 9500... Discriminator Loss: 1.4898... Generator Loss: 0.8116\n"
]
},
{
"data": {
"image/png": 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g6gYf3z7U4xtj/oExZsMY8w3YN2eM+X1jzLvy7+wHHcObN28/WHYcqP+/E9FPfce+Xyai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\nIoHOuYWwHHqVlleH3ucKSjGWoTTs2/aPmP5Aze9F0PKhade1USO1nGb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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db6909b00>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 9510... Discriminator Loss: 1.2624... Generator Loss: 0.8489\n",
"Epoch 1/1-Step 9520... Discriminator Loss: 1.3049... Generator Loss: 0.6696\n",
"Epoch 1/1-Step 9530... Discriminator Loss: 1.3965... Generator Loss: 0.8644\n",
"Epoch 1/1-Step 9540... Discriminator Loss: 1.4915... Generator Loss: 0.9424\n",
"Epoch 1/1-Step 9550... Discriminator Loss: 1.4157... Generator Loss: 0.7676\n",
"Epoch 1/1-Step 9560... Discriminator Loss: 1.4209... Generator Loss: 1.0694\n",
"Epoch 1/1-Step 9570... Discriminator Loss: 1.4742... Generator Loss: 0.6127\n",
"Epoch 1/1-Step 9580... Discriminator Loss: 1.4572... Generator Loss: 0.7362\n",
"Epoch 1/1-Step 9590... Discriminator Loss: 1.4579... Generator Loss: 0.8288\n",
"Epoch 1/1-Step 9600... Discriminator Loss: 1.5529... Generator Loss: 0.6160\n"
]
},
{
"data": {
"image/png": 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o+8jL5aaMXwCeemvbPC91aF+tWO9PD/AaQZuRGbFaCOE+LifPgGjGZ8dq9g0z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\n8okAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db61e2f28>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 9610... Discriminator Loss: 1.2765... Generator Loss: 0.9334\n",
"Epoch 1/1-Step 9620... Discriminator Loss: 1.4019... Generator Loss: 0.8936\n",
"Epoch 1/1-Step 9630... Discriminator Loss: 1.3948... Generator Loss: 0.9540\n",
"Epoch 1/1-Step 9640... Discriminator Loss: 1.4181... Generator Loss: 0.6897\n",
"Epoch 1/1-Step 9650... Discriminator Loss: 1.7385... Generator Loss: 0.6183\n",
"Epoch 1/1-Step 9660... Discriminator Loss: 1.3200... Generator Loss: 1.0546\n",
"Epoch 1/1-Step 9670... Discriminator Loss: 1.3607... Generator Loss: 0.7846\n",
"Epoch 1/1-Step 9680... Discriminator Loss: 1.2170... Generator Loss: 0.8661\n",
"Epoch 1/1-Step 9690... Discriminator Loss: 1.3859... Generator Loss: 0.7578\n",
"Epoch 1/1-Step 9700... Discriminator Loss: 1.3041... Generator Loss: 0.9085\n"
]
},
{
"data": {
"image/png": 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77cObN2/fXXYSqP+/E9FPfdPYrxLR56y1TxLR5+Tf3rx5+4jY+0J9a+2fGGMufdPwzxLR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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db5a09cf8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 9710... Discriminator Loss: 1.3318... Generator Loss: 0.7355\n",
"Epoch 1/1-Step 9720... Discriminator Loss: 1.4124... Generator Loss: 0.7767\n",
"Epoch 1/1-Step 9730... Discriminator Loss: 1.5481... Generator Loss: 0.8282\n",
"Epoch 1/1-Step 9740... Discriminator Loss: 1.2969... Generator Loss: 0.7407\n",
"Epoch 1/1-Step 9750... Discriminator Loss: 1.4520... Generator Loss: 0.8938\n",
"Epoch 1/1-Step 9760... Discriminator Loss: 1.8065... Generator Loss: 0.5857\n",
"Epoch 1/1-Step 9770... Discriminator Loss: 1.3169... Generator Loss: 0.9921\n",
"Epoch 1/1-Step 9780... Discriminator Loss: 1.3492... Generator Loss: 0.7576\n",
"Epoch 1/1-Step 9790... Discriminator Loss: 1.4472... Generator Loss: 0.6129\n",
"Epoch 1/1-Step 9800... Discriminator Loss: 1.3531... Generator Loss: 0.9124\n"
]
},
{
"data": {
"image/png": 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P9PjGmL9jjNk2xrwCY3PGmN82xrwt/599v3148+bt+8tOAvX/VyL60feM/SIR/Y619hoR\n/Y7825s3b58S+0Cob639p8aYjfcM/xQRfUW2f5mIfp+IfuGD9pXZjCZS954KlJ2tK/F17RzD7fUN\nPVwJIC8JGZQC3M7GvB1hLTqIShrJF0BVmcC4AhWFexHUV89J3f9Kfzkf2755h4iIYoB7qUDiImTu\nYf17IsdMhxCrHTuy8THFG3IdBSjuqAp8jYrHFYYodMaCEAeDcV4ICoxIsgUzICbd6iPEwhzIf3AI\n0wRHlzvY2SeCTMVUdgqnS3GPv9/pKUnVHmihU63GpBwubfK8hMeISbp6/nlQKSrI9xOUq3bniMpE\nsHQMo1TOF3IvQt5nlulcZVMdcmQpgPuUOQqw0Ajj76F0E5rKIOSxCTRtSaeeW/7bCpDSk1iOneEy\n44Ptw5J7y9baTdl+RETL7/fH3rx5+/6yj0zuWWutMeaxMQRjzNeJ6OtESpx48+btz9Y+7C9xyxiz\naq3dNMasEtH24/4QO+kUi2UbCESqykvg+jmt037xeWbT61A/PQIIeHjAMkR7be1IsrvPqbYDgI2V\ngsK01bkFIiKaA8msek30+UNgokGI0gYicVRQSLU14PN+/aFKIW3u87kNYmDlQ2CVBRvXZ1QYcyjN\nOQ9HurQoQxy5Iti5BPkNkUQpSlCjD+HfHDKnVq8hkvmtVRQCzsB3ak2Gr1UoeIqKIq0FTHM80fi8\ng7Io4Onq/TvQaHAEkYKhxLFRn39nh9n67R1l9fsEyy5h1COs8c8vGHrswdKmJmKfK/NHRTQtLHHc\nblADIYUoxliWk8i2W9eXD9YrASzP3IoEYX1QlKUJPBtDgO3b8uzc3+sc+bwMhUYH+/p5WZZ69aqe\nu+vzmGHI5gT2YaH+bxDRX5Htv0JE//BD7sebN29/BvaBHt8Y8/eJibwFY8x9IvoviOivE9GvGmN+\njojuENFPn+RgYRBQs8Ler1Vij3NhUemBxWUu1Eig2+rOIwUTmzssNTwaq3eZCNmz19M348Ob2sft\nnPSOu7SqBTkXL/AxGzPqQUdA9O30+W38MpSK/smb3Baw3dGy3ETem/iyjbFba4mPbYrq8V0mIVwC\nFaHg5tIyZ/aVMsw0lKxB6IMXAinXE8K004MutTKH2LI6AY+zUGcC8/q1a/nYyjkumqlUlKycgMca\njNj773cVcb31LivE7O5DTB5QxIJ44LkFLZ7pCyIYDKEcFgpTSpKpiOkEbhuz9ULIVGxJf7sLiwv5\nWFFky/egM82OeFpUJsLy31S8eyVQ1Li+ys/L7AKgiTLmhchcA1HXlc5BD8Gjf/ONO/n23g4j1VZT\nFabm5rkgZwgFTxidb1b4eoaYd+AyNE+YsefsJKz+zz7mo68+0ZG8efP2fWM+ZdebtzNop0qzR1FE\nS7MMl5bLDM0WlwCaCUQcDxQelSAFc3GJoegYmK196a6TbiucCwDeDjoM7batdiRZXuQioHlQN9k9\nUEHMfyZFIu/uqwDk5iFDfOADKZFgxiQBRRQkjWR4F5ol3tvl1N+ZUJcZZSDy1qXDSwaxf1eUVKoq\n/JxAbHogxR8DC4U7DYaQo74uYToA0bttjsb2oYPN1ae4Aeb1557Kx7JI53+7x3P87Te1Segrb9/m\n8xkrdF6eUfjak85DIWgSjESz4KCvxKFTGSIiqkmhTaGoJFfimkcCoi1G+vnlFSaJ5+cUjg8kx2ML\nlkA7gqLbI71n9zf12djZ4ecghAKhZ6XJ5wtXLuVjN17QRgG1JV6C7Q/1uX3zLu/nt/74ezCmXZZm\nZWlyOdNl4ERI03pdn41iRZdINclRqEPOhBNdtVL4BCvI9zXv8b15O4N2qh6/EEa0JsUwiwG/rV0B\nChFR5LLsoOCm1dDMPpNyKG1rezMf++b3mMh765bKED+3uppvr0hm4ALsJ5BwSbmu6ibFkZJ2Q2He\nrlxVvb93HvEbvAx6cm3R5puMIGuqAOW2A34LjyCU1RNPHkLb6MFYvc/qXFO+q+/uUIqXUJ/QkVBE\nqniD9M5ASMS3Hupc1aG/3Y986QeJiCjoanhy94CJ1PWhhlhr0Kbcdd0pQdei5z7zIhER9UFrcADF\nNY9k/4++qajnnPQzTCEkNobriaTQqQhhLbxeZ6VQP39Keie2mupB3eU2Guq97+zwNW71dX93gLBd\nkJbZG3XoTdjha9js6VxtgLJOXZ7bDnRjeuvBFhER7bR1Lqqwz9UrjBj29hRpvvE9Lod5FtSINi4o\nIo4kfFkv6++jLB4/GbqM0JOZ9/jevJ1B8z98b97OoJ0q1C8VQrokMG9FsuJqFWhRLGQZqstgHDoQ\nSLsyp/Dzy194iYiIvgDx6HkgRFxhRLWmY+51l00U4oWpEk2XpYXxucu6ZDh4xNtYWPK2kDHbHf0u\n4u1UWjsPRwr39vaYjOxbhYWVBFo716UgBJYMmXQGKsFrOijprSs0+dpqoOCZFnmseEEbRi4tqril\n61AUQ7vu7UdCEnaUKI0MQFo5/vXzOi9RjYmtQ5gD1B/o9xnevnvrdj5Wlhj4DAiXjmE+XO1+Eci9\nseH947PRgvu8KEvGGkiit6TGvxRqW/VszN9fhuSLeSCQL0jMvon1/2Npzw7t1xuQCVqWvAcUM22K\ndsTnr+v8h0VdWrZafJxBS+H/rSJf9/qykqMzDT23WTnP0UCXVRUhhhMhlTFr8v3Me3xv3s6g+R++\nN29n0E4V6hejkC4K1F8TRr0ENeauFh1TMUM4xaqkvhasxjlnJIY9gjTTBKBmpc6QrFRRmNXvS+x/\nqLAI+9E7EBe0lYl+doGh5MtQIDSQ708gryARiS4iLXBpH2j89t1NZobDA+ikM9RrXBMEWiiAkKTE\nq0NYR1RAVLJZ43Ob0VUIDSUqMA+wEYs/ynJuSaxzUBB2OoVU2pHR5VAk8eMmQHB3qwogm1CrQWeh\nCkdxrqzqMsPV3vRHr+Vj9za1r8GeNNMcTUCTXjQYUGi1UVWoX3GybAkUKsmzMw+pzs9f4eeg3dOl\nyfWGzqVLuS5AB6LKIqd7j1ESC87DzUvV6HU/fY7l44rQC8GOUW6Nzy2d0bl8epHvY6Gsz0N/rM/T\nsuTA7A50KeaOWJWCsI45Ga/vPb43b2fQTtfjFwq0vsZZc3MilU3YO0xIrgjKLSMoc82k7DGJ9W1s\nJ/wWLZf0zVq8oNlbFSnxHUPhj5H21VgAEcFUTAZSjLKjb9umvJnL0L8uluw57GWWgIhjKl61336Y\nj70tSj4RxOQXIs0gXJbYdq0CXkgy3VLI1qOiHrMkORGVhnqPpmRBGvBMhYLuMxKvvfdQiUenblOI\n1H3HcG1OdnsMSjKuV93cPORJzCnKcGKo2NvwUDIIQ+hnuNVWlLbblb5/4PGd6pKB2H/BQBtzyWpM\nocvPeMjzXwFW1BUQVYGoS2f12XFXCxXBucLRwa6ivRAEXZ2TrULrciPEZQ3yCiKQMncy7ChCOp7I\nswoKU6an1zs3K11+7ikSda3Ti1LAs93TTMz3M+/xvXk7g+Z/+N68nUE7VagfhgHNiBpNWRRiMPbp\n4NWUqjtAzYLEtqOWQklbc98BMgy/LwgzGSkEKpScQLz+XREKIwoSC97eUVJuqczLhyKQkb0+E0kx\npGpiq2qnOjPpKUTcvsOpnA3okBJfUeLRLUkiyG8Yigb7ZKRLjwBUZQqinFOANthOfBL7DaAe+1hI\nrOFQybCi5AZUoU35EI7p6uRHKaQ3S5FUs6rkHSoFue4zCaQtO2KsBA1T9w+VbNvb4/2PgXx1CjwG\nlHG22lu6Tyl6MgUQNhXitxgU4e94P7WSzj+BqKdra41NMRNJ701ibAyqc5TI/bdjPV93xBoKsYJI\npiMpUWjVdQ4yQ5hz+H4ihVCDrj7LdVkuGbnPUaAk6fuZ9/jevJ1BO1WPH4QBVSUMVXbuHYodUvFs\nqGdmoYDFKdEUoPw0E3Jw0te3ZArFie7bSaweJRQ9tCBS71CtqveZX2YP/HBXy09HjjTBtsZCcmF/\nNDvVc42Pk0GvuXjCoRhDSuhhC++ehCLH0EElKoiSD2SbpeBdUhfUAY9fEPKqCN4sjPT7QyEw0Us1\nZznDrQRhPyRSXa/BDFDNUApciuBDcDs7pl13KHNUhIKnCYRTh12+l2lylFjE/ex0tJz2/h1GZ09t\naA8+ig/ku0Dj5iFjPccQyqJjud4UnpeJdPyJISvOAq50yaUDKP91bbBrUJjTgEIxV3KcxvA8iX6e\nhXbaKRCpY0ECKP4zJ+XXYymSisKT+fKTdNI5b4z5PWPMa8aYV40xPy/jvpuON2+fUjvJ6yEhov/I\nWnuDiH6AiP49Y8wN8t10vHn71NpJNPc2iWhTtrvGmNeJ6Bx9iG46WWapL9Cy4DrkIBmWI3SAUQCF\nQgcb8fykrn0M8csUiK9MCK3+QKHbwX2GhbUZjd8undO6Z9cpptZSAicUSePRnh4ndlAe4OdU80Ip\nrrHY+UfINDNBSW2F1q/e5vr59q7emqefeU6+rLsmEItMCrwdw7KpVJKCJ4CxBkQ9xyOR5Ib9NIR4\nDSDHIAA47tpwYzy6KvkYBVDDQaLV5R7EkCE4FinzLtTYj+CmJgJvLQqXutwOVFeCef/db3IW4L/0\nlWfzseKEa+9tDcQ0yTXxhHsC8zoWodUhZGD2urycQXhfauqzU53lOVgaKMF5cMDLjEdbmsNRgjh/\nS1SgsKnpKOV56YHU+wEsYftC7jkVKyKissTvO3KOofmYoD6atNJ6iYi+QSfspmOM+box5mVjzMvt\nbve4P/Hmzdsp24nJPWNMnYj+byL6D6y1HZQ5fr9uOthQ4+qF83ZXFEkKouxShHbEzqMHIZJD4L0z\n194amh04Yg0Ij0JNPXVfPt/a05Da6+/eIiKiu1sq3V1GfTdpnLB8Tss5y2v8ht8H7b7YnRuUcKJX\ncHOEXjckvv5qRVVuGk0N87wpGniDA1DlWWW00ljQcyRo3pDIeYyBFCqIhy1a3Te243by0r2BElL3\n7/N8VHY1mw9z+ft19kTYRrsu5JWBkBmSmRP5/nCkXuxQvOk9aBbRGx4ty8VW1CbHeTjXam9ssfz5\nOIXaBEEuMfaVk7bVAaCjbKxosHvIz0kG19iTEGsHzhHJyEBIzwpkLPZj1yJd9727qxl3rg9fCCHW\nkTyrPSBc99qKMBMhvZtNJQldZmRFkJUJPkaPb4wpEP/o/5619tdkeEu66NAHddPx5s3b95edhNU3\nRPRLRPS6tfa/h498Nx1v3j6ldhKo/0NE9G8T0feMMd+Wsf+UPkQ3nSRNafdQoK6UMs6CCksOk6Ed\nMRJjxkF9AHmOUwoxK6qiMflqxBB9BYitwjKPxa9+Nx979S3tctKTPnAHQLptia72rUOFrJPJUZFL\nJCYDySarNZT0uXT+GSIieu7GjXxs/ZzG9H9LilX2gLi6LfLP1+a1vDSCPm4T1z4cT0PKOc0ACp6g\n+MZlws1BrzkneJlAWe7cnC53SlIGi5mRruFPH3ocgsI4xS7rEHId2pJ59vZDhb5dKNJBiJ+PfUCn\nmP2JzFui96wayRIo1n1PUp4PlCcfw7k7orYIgqIk2XNbWyqM2fuOymavbDFRdw8EX9t7XH599RIo\n8MA+t/Y56zCCPAtXnHNwCAVLB7occjx3q6bPQVfuc1GURYMA787j7SSs/j+jx4t3+m463rx9Cs2n\n7HrzdgbtVFN2M2tpJDHavsSzqyCOWJLChTBA5hbirRLzxIhCIAU3Gca1MZQu36lU9R03HzLkevba\n1XxskOo+vyXdYb73UItA7B5P1WYHWFanJY8oFKBWWGUIv3JNO9M889wFIiJa21AI3ZzTmPB+j6Hb\nGKDoW3cZ6i+d18af5QWIqgjsx0KYiTDrfWCsR6BM1JPOQNWqMsRztaZcjs5VparFLCWBkwYueCJQ\ns9tXSFqEKIYrVIpThfq7klNx+4FC5xg612iUxBwZexzgn0gM/O23NOpy4Xl5vK0y+G5Jkqa6ZIsh\nLdmx7DVYajWlmeU5qMG/ufkg3773XYnVQ4PROYHjZVD/SULQfJBLG8Yapz8UIdcdWPZ0II6fSGp2\ns4r6D05DwS1xvAKPN2/eHmOn6vGJDJG8NV3twRA6xhhRlYmKx2eBuYIPjLFOhPHoAiEyQVUfydCK\nR+r5Ol0+s+EnAAAgAElEQVT2CnsQ26+CKvFijeOxQ1IybFMKNfptaGEcH+PxoYCoWGRS71xNO6Nc\nnWUiqFJWT1op6fU+lFhxDLClKvHfa231TLNQ1ttsuYIPOBEhMzNAIKicM5G+cigrXor53gRAao6g\n40xSlDg+sHexpFticZLVBDUKAilkgrh5u8vX0Ya+fRbKbXU+Afl9gJacQ4N/8JaiiK88z566PKvn\n1pcW1DE8V8MJbLd5PgZjQJXiTWsFRUfPXlbENhGlJQvtra14/0FX79m9e5rFNzPDk1Sp6VwO5Vnu\ngd4f6g4GkpU3hH6II0GdZdGWNJ9E5p43b97+xTD/w/fm7QzaqUJ9YwxFohQSS6x+MEYoIzLFFRAl\nRKJIRCctwJlRn6HOox2F7Q8eaXx4JETSBFRNhtLO+KCrhFRnosuD+/IdA0KJs0sSq30ACYp5Ciyk\nloaKcytNqW+vQfpnxHAwC2FtAUVFQyE2E9jnQykcubet57s0q3O0ep7JwbCk1+AEM0Noxz0ZK7Ru\nS0efASk8HRZiuQZIvw3wXoTvuVqiTFJgGzOaR9GY1W0Xpk7hW22Br2NI4/0gc0u+94/mE33rjT/O\ntx/ufYWIiNY2FvXcUn42Ijh0f6jP4Jab4wREK60sTyFRojEDgq7SxDJLIaVXllIHoL70aF+h/rMV\n7kZUAKWlnshvt6EJ60EfSE8hcR8eqAJStcbP6Noa5wsEqBL6PuY9vjdvZ9BO1+OTpShXxxHJaKjt\nGQmhlRolrkLIuAvFfYRQxBOI/PbatQt6ICiZHApZ1oYCifEmn8MMSGUTZJbFD/htX26o915cYfIk\n+A6SUEfDTmFB9fMWVrgV8to5VYW5dI3fzKhrB1wmFUVeBUSIaCDI4nZHiav6TfVIy4t8zCZk9oWB\nQ0e6nwgyGpev8HxVytAqXOS3I9CjM6DZ5zT5RmMsWeXy01IRilZAPSgN2Xt1ANndazNqQr3F9zCk\n7uh6Hk6jLp3KTzxiB/238u3f+kP2ylcv/RD8RVGuRfe9uq6Fpa15Rgd96JFYqQhxVtL5JZAGL4vH\njyK9BleWa9/R85m/eCXf3rjERVr37qrK04MDVmfaOwTJc3DNTZGKH+4rke1ktRstvo+h9/jevHl7\nnPkfvjdvZ9BON46fJkRdhtyFqshsQ2ZYJnLIvR4U4QDciySrqgg1zK51dgVg1voi7FOWDYNF3c/S\nIsPOwVBj2JgttZfINvQws1KTXSuD3PFIPoeOLo1ZhfWLDekPmCn86j1gODcp6vGqIz1O7XMMweM3\nFdaPd/h8H0Inl7lIofPrb7K+wHlQEZqfY5gbFaEICjIanVR5AG2wXUZkAPXrYQZ9DFNR4Mkg9i8k\nZQB14DFkHfZEfOXO7c18bOcuQ/0QlnlY4++KtQIgFstlhrn9alsvYheVj+TYA5WX/kff/iMiImrV\ndFn0ueuc/bi+ooVT1aouu9z9LYC+QCDaB8VyAmN6aOP0ByDmHg75PIpWlwzYHSntiYQ4iNNUZT7O\nL+jyq9MDnQJZvrVAIWlell9FyU40H0h/yvmf6K+8efP2L5T5H743b2fQzHG1z5+ULc1W7b/5FS5Y\nGUj3kYOBQpmhCGcijqqUQDqqyGz9zr5CzV6ft1GUswI1zivChBah7XQmzHAMRS09YJ23RbiwBx1y\nXNFMDMqMbgtTWKemMzk6t66YYmVBUz6fu6QyXAs//nW+BljO7Nxj5vftb307H3t0V9nioejLFyDa\nEYrGPgqBYq12XWBnGfIkIomgoA49SPnTWHTlUbi0LyKn/aHGllNg3nPBLMi9cCnXmJaM9fruS2Vo\nbX7+HMe9JxW9Z11oWd4/kH4EfT03J9Y5JeElx0YhT6z1N+/5OyKdt8cmDZuj33EZyDg2VXPk/gDO\nzQWwKtA9Z3VGc0k+f5WXkT/4xZf08/O8vHPCr7/w3/1devfu5gdW6niP783bGbRTJfcKNqWlRFok\nl/iNuwMyx7vindA7FKAsdyJeOYaCnEiENxcbGrt/9oKSXM9fZm/aqANZI2/4FEisESCGm1KO+87m\nfj727jaTSrsd9Uxj2U8EbZgTeK1PRMkmS5HE4msYjtRD7oDnMg/Ze19a1Jjxlbq0p4ZKIlOCQg7h\npopIPEpm5BhcNhJotQpvR9BWOpT5MEbnIgLkkUrfuSrkVpQlUaAM96wMsX/nxlJQQ02lPLULZawH\nh/p91946TZQY228zKVwCIUqCvn8BSQtpEPp00AGdriMMp4p+AJgVBAEVoetQTUrH0UviduaOA4ir\nL5mgcOunMx5liiOcS0EW8/A8nSvrvVgnfu4vFDWPYk6yQruZK2n/mMpyjTFlY8wfG2O+I510/isZ\nv2SM+YYx5h1jzK8YA9S2N2/evq/tJFB/TER/wVr7GSJ6kYh+1BjzA0T03xLR/2CtvUpEB0T0c5/c\naXrz5u3jtJNo7lkicoHQgvxniegvENFflvFfJqL/koj+5vvty9iMIlE+iaXOuwQ5iQuRK4aABopQ\nsHAotdIp1COvCMT/wQur+dgPPKeKN4urDPuLoPQTSneYqbp/gFxfuMGXuwNdUL77KpNpf/Smjt3e\nZ8g1hPj4lMqKHHMEkNbxXslYr7F7oLD9M8scZ54nvcZAcgwWIJWzAMSkLYt4KDTN7IpaywCgXwGu\nV8K/FFk9dkFizqHBYh9IjxbSdQgw+VC0BBCyXp7XuvWmdEwaQkx+Z8j7fwDE7h2Im28LeBwiuSr3\n3BIUW0Gte+raaEOygksTwAaZBVmSwGVREUB4TT5YgVj5eVlCrULx2HITWm/LdzqA5W8e8rndhDj8\nPjzLUvdDS1W9ZwtynEVIB65DCu6yLKtqA+jCJOKiRsjaj7WTjjEmFIXdbSL6bSJ6l4ja1uYLqvvE\nbbWO+27eSacPbaO8efP2Z2cnIvcsNxp70RjTIqJfJ6KnT3oA7KSz3ipaR/YM5O3VgyqSiZAjfVCS\n6UDJ5I54CGz9fGWZw2JPgYzx3JKGygqSfVeANthRSUpWwRtmoAlXrvGbd2lVScKXXFFHTd/Qk1dY\nTvntR+qFRpC1ZqVENwXv4dSBAvBMhxAKm59l9Z/DW+/mY72HHM4bwjnWoGuLKXDIcw8a0I0HEn4k\ntRBIt6gsXX4g9FYMeF4KUCZcAu/jFGDiqZ520t0FMjBngWhdnGXvPwKvmx4yclPqlKgOYa2B5WPG\nqZKeqVw76iliODDvsgRe15GZEaANF+qtgMtbKek1bsj9/cE1DaM9fZGzIBcgI7RY17k08hwNwbEd\ndBg93dzUrMHv3tWswkddfpYr8Gw4cq8B6BQzRcMqjx8OFfnRPmd4llZdkdonoLlnrW0T0e8R0Q8S\nUcsY42ZsnYgePPaL3rx5+76yk7D6i+LpyRhTIaKvEdHrxC+AvyR/5jvpePP2KbKTQP1VIvplY0xI\n/KL4VWvtPzbGvEZE/8AY818T0beI22y9rwUBUU0IkqFAYghnU1+ymUYA/7sTxW5OK3IF2ldfWeVa\n6vl5hfcBtCMmKUYJywo/3d6xIWQKQpQk8WzMBiwKbL+0qrXbIrJCWagy3K89AAlrIaeQ8EsF8sKK\ngDpQLDSRLjPvvPGK/sEOF+E0IKY+AwowHSEKe9ARZiTQFzUsE2xmKWouEajGuGZEBThOBFlkqUDr\nBObKCYVegmXRNchEbEnm2SAFgnNTWkhDx54iFLhU6gypuz2QBpcMwVIAWZJ6aZTKhSLQdaReGZaG\nFVlqrkMB1k9e0YKdP/cck6vLSwr1CxJXL8B3giIUFQnRmgApvbLCf3vtsvrWF8+r9Petu5yX4Fpf\nE2nsH4ucYrigssxLUNFs1l2RTK9X+f/pB+gVODsJq/9d4tbY7x2/SURfPNFRvHnz9n1lPmXXm7cz\naKdbj28pr2xxBSVVoFedvnkKVPRghEUm/Lfn57XJ5Lk1hmaVhsaOw4rCtNAJIVpIGU1dKq0eJ0ux\nUSdvZxlOD++nVNDowPocH/P5C7qjNsRY37jHkHYCXX5Sw/uxU41BFW5nPU4Nrof6nYUVXsbUSrpc\nSYC+3h0yzAtgSVEKj0JfY/U4kQBlLAaqC5tcASY5g+O4XvcliBVvrHL+xAvPXM/HlhZ1GeLC0CXs\nRx/x/bnT1nXeW7vK8acJ7x+FVt2DY5PHhISPqTULHasPY3NyvX/+nApwfvnGJT33JU6VLkRQxOPq\naeKp2YQtyQtBmTOJtGDPhNpVjQqsLfPyog/LmY7Ife2BtNajrkaM3NKlCtJyJJGaw0OevzTFlOXH\nm/f43rydQTtdjx8YMmXJnHJvTCB9EvEkhz31Dh3otLPeYg/71GUlj2YWOZ4dVqEIB0QlrZA5SYal\noq7dNoxB2+n8dQgexxT5rW5grCCikucWlGy8vKxo46aQWL0RdKORWG2GxTPwlq5K1hyimpaU9wL4\nocEQiEmJqkZQwlwWhGIxww/IJyMFNxinL4nHT4ERHALxmEkG4uqcnttzT3OW5Mr6ej4WghpSKqpK\nWOrbavJ8bawpUfoHb76Tb/clBp7C+brS2gmUT2Np7XGW2qOo5/o8358vXNfuRvWWPjtWMh9iQDqZ\nzEcApLOF++eyPlHa2hXsGHjGACxSJMKmJcjcq7UYbdRBqjzcUpHYXcl2nQAjXl7kudxv9+RcT5Yk\n5z2+N29n0PwP35u3M2inCvXj1NLDQ4Yru1LEMIQinVhSNcdQzFCE4o9nLzI8uwA66LUGQ6YCpjaC\nIo6RSg1UYbGyvLAA/w0KPwpLYzEkKqeRQSw8k0aRtbJ+99Kywv6W6PYfjI7mC2B8HVVylhYY7o1j\nTckdb3L81wJ7ZCDNtCQB+CrczVIk2gaJHjuGnAing48pDyTwfwIdbiIoyJmfZdLuqQ1Nj147z6mi\nYVFh7iTW5YFbycGKLp+3ZdAcWAClmduifRBDd6N8/lNM031Msbsbkntegjj+00s8r82G4u40AM0H\ndy9QoUeejXAqGxbUjoxrNopQ350wniK2f+cPsAdBUZaB9UifoXlo8R1Lk9HhSFN2gx5fh+NOT6qo\n5T2+N29n0E7V449TS7c6/Gpqy/8jeBu72E8GWnVN6C22vsohmEYdutBIuCQMsJgE3rzyaksgGyrL\nSzhRGQfKT4++rHNyyoAncBluCRBoNXiDzzf43O621QM614ReniDb6twaX+NWX8Nb+3dFOhmKbGL0\noFKEMnU9EhNNR1rYY0DXzvWiy4CwcqReBCisVdO5Pr/IYcWFGSiCkrlOIMtxAidnc0E6vT+ZzFcZ\nClSuQ1n1K7dZfnuAxShyaRhetFMO304fT66SiKgBIbWZipsrQGFY+OOKfSCm7PZdgLkKCZ8Xvi+o\nwJPHpIEExOc6lwWK8FkVkhAIwTJ0e1oImdx+1AXVKukQNYn4M+/xvXnz9ljzP3xv3s6gnSrUT1JL\nOx2GebEgoWZZoY615sh36gD1W1LbjbFP19EZCygKUMSQScGNnShh5WBuCAUoIcTx84aTkAkXOpgW\nYOyf/z8BrBiAjLfLhEOCcpA6shFZH91uNvjcN6HDTSbb6Vih+rAPGXXSKhyzASnm67UTzQIrUALb\nfG0BwHoHX8ug1NMEqF+VeTVQr58KkReDaOcEingc/MXmp7l8Opzuckuz0VrSULQNXWayXCAVpbIJ\nzMlmH439I7nnyNlOHxpPQoC9IaQfrBxzOfYpuXSE6EK64rwEkssQwFzGXWij3ZFW7CWo65fnMQMV\nBQtLklKZ91UY6zM4OuT7PMlchqqP43vz5u0x5n/43rydQTtVqJ9aS50RQ5HQFT6AJFMkzC/qv1ch\nNupgfwCw0f1pEdJVEepPxtJpB5jSokhvAdInA/HS0MXAEVbGfG4pLAnGAmlTFHOEfIJGzV0PsO3k\nurJASigwsRXXBDFQuFyXsfZY6+1jYOsdW1yGIp5I9AOCIshFFSEFWc4ZoypFmcwqij02AerXed7K\nVd1PsSTziiF3SA6wLuIAMmdx6iSxMI8CUnprks4K+xm5wqopJHv0OcimYuVsA1h67A943vb7OhaV\nQAtgVgQtq7BcTN2aDqrHMCrj1nxQ2GPqUsM/o/MX1HVJMU64+Ka7ozX6sYiQjiD3YgKxpVCKc7IE\nlpPyvB08rnjpMeY9vjdvZ9BOt0iHDBmJl7sQbgli04GUzk7zQPqPfZGXziDG2qjyW7A1qx6wWtFW\nylZKSQtlQBELi+7DfGw8BCJJyLReR+PI9x5wm+dHj7RoInEqNpBFlwFamZkRD4nKLRLvnmqpNl07\ny/tONPYfy7nZiZZo1oBEbNUkAw68ezzkvw1SPXa5oN7dFfRUSuqFSq4NOcx5GEDBjuQBHLQBHQl5\nNwFBS4p0n4HsH69xLN1wRmMlXMdAnDmByQp4/Ez69k2g+xE+G9kx4WvniDuQgvltEfpMyuqJ+xU4\nuYEUXs3rXNZkXgIQOw2wlFoI2yGIxGZjUUCCYiqoTKaxsIfbUJq8t8X32ZXnEinZS0Q0J3PchTh+\nX0rHTZkzEs3HHccXie1vGWP+sfzbd9Lx5u1Tak8C9X+eWGTTme+k483bp9ROBPWNMetE9K8R0X9D\nRP+hYTH1J++kY7SLTSwa5FCqTqHEIDFc2gKoU5H4fQg18a699Z1X38zHdh8oHN8QNZgXXnpOz6Ml\nxSiQEnrQVQ33nQNeKrz+7r187N4m65dnQLzMz/AyY5wB6QZxVNepZw7qq7uSwICqPAjORjIh+/u6\nXOlJJ51iAdRcagpFXdB5r6vX05NtVw9PNE0oNmtcFFOeU7WcWpXhYgWWJoMxQFFpQX17R5cc220+\nDt7HSknPbWGBlWZaMzpmJE5dh9Tr1UUtvLp0nufmDtSix65wCARmMM1aiVgg/AQa9yHP4hsPeF5f\nfqAa9zVQIbo8y+f048/rd778patERLQIc1WEZpbdfT7PzS2d6+3b3HHpzj24j0Aobszxs3PlguoC\nXL7ABU/b9+7kYygUOjPPS7oOkLyP9qT7UeFkIpvOTurx/0ci+o9J09fn6UN00omP6RfvzZu307cP\n9PjGmH+diLattX9qjPnKkx4AO+nUKpF1kZWRSEI34N3jUEAZ4mwb59UTBEIaPYKeafuH7Kk372hY\npABlsOst9mKdffVS81IPYooa/tpq38+3//TV20RE9M5D9TgHh/z9lVn9TtBzpa/Q3w88bEnCN/Wa\nkl31IXsk9JCjWP/R7vFxetAOOhKUVAUPGUOW475490Ms/5X42jCG/nIT/XzU5+MY+I5rU9Oah5Jg\neFcfSFvqt29p/8B3N1lavAck1nxV9Q8vrjJi+Mwz2nypPstoI4PW2ZMUyFdBDLMNLdWdyPnuDUCP\nHYpiXIjXYCcjIbqGMNlYiu1sv69z9LDNx3kbUM1um+flqy+pb1s7pwjm3i7f///nW4/ysd9/hbe3\noEArAoRyRdR2fuiBHvtHXtwgIqJGQxWOogzCtkIe1qCHX1NqsWOXPXiyRjongvo/REQ/aYz5cSIq\nE1GTiP4GSScd8fq+k443b58i+0Cob639T6y169baDSL6GSL6XWvtv0W+k443b59a+yhx/F+gJ+yk\nk1mivmDH/oDhUQuwZCQcQBPqp+slhbe7Owzr7xwouXH3Edett/c0Dv8Tn9f+Hxef2uDjQWNKJ8BZ\ngLg3AQybW+CuMHMjJXh2RAB0/eqVfOz2W28TERFwdzTXVFUZlyUWQfy8KjFqp5BDRJRC4kJBCkZa\nDSWSJlWGvEXIzMPWz3VpMT22Ck+7fZ6j9lDr+gNMe5Ov7+8ryTWa8D0JStgcUpcpidSWR5B7MduY\nISKizCikDSCL0pGmt+7cyseuEAtzthZ1SWGB/1kQGHxxRev+R7Kks9BpE0PWLp8gAazrxDgxm89l\nLIaQEYp5I24tug9Ll//vHYbt85A7sX+g378nBTebHci4E8K11prJx+KJLgnvdHnZ9PB7N/Oxf/rW\nXSIi+okrCvWfOQdqPPN8L5pLus9L8mzcFV73pKTdE/3wrbW/T0S/L9u+k443b59S8ym73rydQTvV\nlF1rtfQ8FWg3BjhdlDzeCtTB4wnOSsFItaKQ95w0jwxBbutzzz6TbzeFUe90oD+7MKUGUiyhfoWu\nnOfY6uKSwu3LKxwKeOrpa/lYi1wttC4jsGBnss/wtA8CnVXptFODHuh2BCm/kmLcKOtyZyBYtALf\niSoAxyXWWwSWvCUFTRVIucU6+0Ri8gYahxak+0uzrqx8GSISY1d7vwSa/wLLh0o+08KixqZd+i2E\nymlGau9LkC8wk+jyoBXyfR6tajPL/g5HWL57fzMfsyBZ5iA8Fni5vAX0bnk/ekwLh+hAtcbnlkIz\ny6FoG2ys6DLuqRv6bMyIGOo2REhGPRFAbepcPtrR56QrHXJgxUeJRIe60D0n6+m5VWYlSgQp4r22\naDFImoOX3vLmzdtj7VQ9fhgE1Kzxm7BzyG/HHqiSzCwKiQXuYUrs8TzHUbMEvbcQdUBIzQC55Bww\nCiGOpV9ZAPFQA2/eVoPf+kvg2c7PMBEVjzXD77kr7Nk6AyUWb24p+1QInAKPHqfkvDdIZVu43kad\niZv5WfWak4Df9CF49Aj6+pWlsKcApaRJxPO6ECoRlwC5lxZ5rnFebMBz2CgreRRBIcxslb1cvajx\n9STj40CFLdVq6hmrcv+wkCmQsl8LxTMFkLwpiVT3oK9Zb7uSgYml0hD6J9e1GrMTnTR4C5DFomR/\nYunxQlPnbVnu+eaWZkFOBvy8XLqoz8PSshKPs5LBubSxlo+9+IrkN0C/vfEKIALJWamA4GhNJnEp\n0LyDhQbIm68JugUCuf+QiUdJc/CddLx58/Z48z98b97OoJ0q1C8EAa1K3HGLGB4PIV2ytMoQ00En\nIqIZIEcaAhvDEKB8kbexRXQBArM9EVUcTzTObDPepwkQ6oOAYZ/hfLOlcLsqXV+GfT2OFf2ACARD\n7+7qUiAWxRYknJyePpKJBWjyORJoaCJdupSbDCsNFABZEMkshEdbeAfSlNFCy/AE1FxiSc8djVCE\nVPQDYKkUQuy6IToFCCZdl5kESEIU8HSNJg0IgQaZzBcScVDOb6XmvgzzsrzAS63HkVfNOl9nJ9X5\nr8vuP9vSubwixUKLs3qNs7O6nOxJdfkupNI+LU1RVzY0fdxAoUzR8Pmur2nr7WaBv7P3QJd+wPGS\nkVbsEcyLI1JLEeodKCEYyLJgAv7ayrIosXy+J62G8R7fm7czaKfq8Y21VJC+eCJJRm3skyevqwUo\nhCkW8RTlFY5956Qow0yRGvqdWApL0Fs6XbwIeuxVKkqCtbtMKk16eh61GUYjqKYTj4++N1NADsMB\ne8EU/sxJe5egtLgEBNwk5Td4qa5ZbYsXLxMR0f4DLY5Jp2SUXUtm0C+UEB+Sc/idgZTGDkG+uey0\nCAE9BaCF58KFEyhNjsolOR4gIWhv7dhVnJdU1GmCqadPP08kfIb1JvVqhd5rSGTFQ36OKnAeT0lL\n9p9YUzLs+cvslcNZDW32oMjqjW32sDOgn/djn79IRERlaE44uKfIQrhXKlf1eZlf5uNUy4paJj3o\nqCR9DAsGUJqTdY+VWEyhpHgsEvEPtjTbcluKgCaCHHw4z5s3b481/8P35u0M2uk2zZwk9O49jm8W\nRS65CdBsRjLLZkFdJoWGlN1DUaKJYHkg8fuoqpDJgExLMnawEeK7UmRSgByBmVmNXY8mTNwkI82g\nSiTWjgg7kc42vUOFfb0DaPQoBR8hSG5XpWCnDN2AiikyW07eGQpyJBNudKj5AoMBkogMvS3U25MQ\nbCj+OYammUMh41IoHIkkay0MFXZPdcDJ1ZOgU46QkWUorMqio4UyCcDpRMi7KX1OiGe71t4R3LOK\ndJx5HJQ96PG8zwC0/soKk7hf+bzW0c9d4Fh4Asdu95Xg3O0x1H9hTef/2vOX+NigkeC0I4iIrLTz\ntrESebVFPkAFpN4rNd2ncT89yBBMnJpRR5+7cQKCpHLO795XqH97n8+p1JI8BzqZeY/vzdsZNP/D\n9+btDNrpQv00o7ekdjkUUHKpiawmw7kmxG9DEO12ELECTH9J/rYEzTUxYDqWpUIf6qs7AueoqHjv\ncB+Y1InEWAu65Ji4eDdgfdelBxswpqC37kQrEX5VXHouSGdFQG8nEx4f9jWWW0t5XsogyYTdVlwN\n+WikseWCsMEGUlwnEGsfumUB5gNITL5YAn0AbDgZ8RxnVudl0Oe5NNgtCL7jLjODJqCJFEmFGMeH\neLaVuDguz3D/x1kq+RHuGSIiurrE+Q8tKK4xicwRFGiF0ISyJs/Y1RWF5fU5zhEIUmXly7P6jDri\nPRnoUmq8t83fgaWsgfyTgovaQAQkHTPEn4B2xBD7K8hy9iFIz90+4OfyQoufDTsVC3m8eY/vzdsZ\ntJPKa98moi5xsDWx1n7eGDNHRL9CRBtEdJuIftpae/C4fRCx53OFIiN50e0MoCNJxm+0KvQbs0A0\nZS5nLEDvIueI/fTgre/62928peWc9x8yCVMDz3a4p6e+uMBE38Lqqu4zZI81Bq/aE/KvO1AyJsD4\nvBSmTIAICsSLWfB2ZShgsULAJSO97kBi2NV5zQwbE9TBSiPCDIQ+M/EaFrrVTKD328Ehf96B2HK3\nL91qgHAqQBtnB5BwzCkXJSkSi+bI56k9Su4hT4dfca2hsd+h672H/uw4DFAOIQtSiqOSif6lKyrq\nQcvxRyCs2RZR1hlQB0rc/QMCMiir93bqQckY0KAIfKYgDjrp7+p5zvBxSlhYJd2PxtgOHQjFnqCU\nR4f6+aHkwfTlHNJPII7/5621L1prPy///kUi+h1r7TUi+h35tzdv3j4F9lGg/k8RN9Ig+f9f/Oin\n482bt9Owk5J7loj+X8MMy/8sWvnL1lqHnx8R0fJjvw07cZqKDhTtgab8I0E1GPeOsKGhEHUW0ikz\naSedGVDtgRrz+QWObz7zrJJ/ocScDcDPcxe1lrpQcMKN0KLYdUoG+NkRMqYP3RAzENZ0nRwttDB2\nLabS/jQAACAASURBVLExrbUIZKaR+UBSzantoGJNPdUlRyT123asJONwwtsTaAw6gEKlvhCTfVgK\nDHY2pz4jIqrUlRibF739VksLf1ztfAq19TFowbv6+Tg7CvUxR8A1E+V/8DZk+dJE5uVxQNaN45Ji\nc8CE7XAE/QgkR+PBrsL7uwD1B6KQNNrWubz7yltERNRcUfiPadbu0gdtnctA0mszyBEY9KCQqcdz\nVCkfzT8ZJXpv+9Co85Hs68Gh3p/ECa26Z41OZif94f+wtfaBMWaJiH7bGPMGfmitteYxtKsx5utE\n9PUTHsebN2+nYCf64VtrH8j/t40xv06srrtljFm11m4aY1aJaPsx38076Rhj7Hv1QWLobHLrIRNs\nHQhXrK1pWa7rEg0RKBpKWKsPhAeGsAYSusM3dFHCKviuSqxOxXAkYbqudtIpV9k7pZm+wQ8l5NYB\n8qgLFTkjCVENgbnKhOyqQFecakOvMRNdOwogOy6ScBIWGkHRirEcekrQswkJ2YWy270JnLtkhCGR\n6tR/imXdd6UG3n2Gt4fghSYSCgsjaBENXnciaGgI5+FKk0sQlg1AdcaIHFKWgXpQrPt8PxtB56Bd\nUc7BQqSueMvdA/Wa+Ew2WuKBM0Vcm5tMBg9Guu9GVeetWCzJ+ep+IikXn2ItgfxLhazsQ29CR84m\nQNz2IHN1Szo3HUBh2+ISPzsFaSluTthK5wPX+MaYmjGm4baJ6F8holeI6DeIG2kQ+YYa3rx9quwk\nHn+ZiH5d3iQREf0f1trfNMb8CRH9qjHm54joDhH99Cd3mt68efs47QN/+NI44zPHjO8R0Vc/6gkg\nMbAlEP+tO0q2vPQlUD0Jmawx0PVmJMUfDx9ojHQf6pULgopaFcjeklj7JFb4OYQCl4mclSkoNJub\nE0Iw0LGu5CB0BrpcORgoZI1j/tsU4H9JGnWWywrvw6LCxvu7vGJaKEKdvJMQB0FR/E4gselKQ6/R\nNZnsAqFEUPtdFF3nCB6BosxVI1AiFCW7jct+BNIzFliaFrAGH2rvU54PFz8n0oKdwECxFehMOzmA\nFNZ0J4X6A+jIc78n+Q1NJeWMZMI1E8ijsHqN/ZHUxEMVT1O6Gs3Oqtx3uapLICPzUQC1ooLoEPQO\ndbm4f0eLeKoSv6+B0Kdboo5Bq3wCJHCvK+3FYYl0XiTgayI5jx2W3s985p43b2fQ/A/fm7czaKda\npPNB1h8xlP+D17fysZ+0WidfFrg9gX7n2VBSFQGeugaXRESpSDK1+wrd5ue5oCECPfsJpOLutxmS\nVWb08+UKw0XXTYaIaFPSO2890AKfNjC3juXFGvJU0i5nGpB3ECnsvzPkJop9KMKpJlwPPjuj3Vu6\nHSi+6UhHH+hK5FI5DwcKkXtQ+DMcimRZqGOHIiDZBwFUAukuVzQDylzUnBUtfhC0xPYwrphoBAVC\nscDXFJYMCeRHFAWujmP1S4PJ0b72x9kEWPDX9/k6DgYKpxfXeOlYbup93HkIabEyXzMLujwIRath\ngKsZaLjq8jBSWLr0tlkv4e672htgc1sZ/IvLPImNmp5bSfQhTEkPtHVXl627cj0bS/q8vHCDZdk6\nfZ7LCHo4vJ95j+/N2xm07yuPn4pE8Bv37+Zjf/iHb+fbT11nT12EzL2iSEpfOK+ZdxfXN/LtUJBA\ne0tJln6XPXQMGWo21bdxrc5v3ItXlFiclS4/N+/pG/id+0zE3X6gajgmUuQxP8teo9lS0s11UCmE\nSs6l2LtNCLiwph6nK1ltc6DJbUDx5uE2E5spZO5NhLyy0GewsahFPqbL3r1e0fNwIpsYCi6UlBAs\niLJOAG2HZlqSEwFx+HGs6CkWsi0D/WyXZIl03QjI1V0hZ4ddKE0GMvP9LIOo/IMeI7Jf/R19hv7V\nz/C8bpzTezK3BKRpwM/EuWcv5WOLz3+BiIiixoIeCPJCMsl+zGD+U/saERE1DvW8L974fL5drvAk\nDPcf5WNBRTw9KBxtQxHVoaCZly4ryXh54wIREW3tMbLALlTvZ97je/N2Bs3/8L15O4N2ulA/IqJZ\ngXy7AhexJlugTHugUPGX/9Fv5dtfu8dExg+9pG2wi7MMPycjhdvVghImVSlwgbA5dQWqxqBZPgtp\nsxQyDKzUgfyT5cG4o0uC+SrDbbusBGRMCsFLEnefKSncSwQuu3g+EdEcNEE0CwwntzsKc3de5eKZ\ntK+wbyaCTi6SAtsZgjjomL+PBUuNph6zJC23Me4bBg7Kk/4dqBS5NuYh5FGUJFUXsqQphYKpQNJ3\nQyA4raSxZnAczDfY3ua5jiC+3ijLHM2Br9o/pkEkpIC7mP4/fPNePtYZ8nPyM58/n4+dW1cIL1nL\nNNjbycf6Nxm2Vxe0s1KG/RPa8rdAVhpJ7Z5dhjmH5ykvKgIthoEsPXd29N66NF0iVaYqQcPUruSv\nRG7OT1il4z2+N29n0MxJO298HPb8U+fsr/1P/y4REUVlyYQDjzIRTzCCMtfNbc12+t0/eIWIiN55\n7UE+VhfSKIMQlB2p93AddlIojXUerQjeEAmtQ+m+0wX1k5GgkRhc20i2JzDWg7DTSDL3Evg8EgJt\nrqko4eq6koj/y//+S0REVMD+dSIHHkJvvDDS7VhKVjMoUHEFPQGEd2KQC59If0BQwqaiEIEpZIsN\nQU8wKvA9C4FY7HXaU/8nIioA4gprcp3YC1AKf2qAskpAMrruMft7qpr06N6bRET01b/4V/UaIMPN\nigfGEhWHYMoFPd9Wna+xAqTlAErDR4KUkHh0t28MIckUvpMdoyjkzGAmHWzbvIz26JcykCJHZJHv\nE1SGijUmvBdafF1bD2/RZDz8wEod7/G9eTuD5n/43rydQTtVci+gjKoBQ8eCQNCgqLDFSWET1Cgn\n7fv59oM3Xicioj4opjwnsfanNlR6+so5jVfPtBhqWoRMAoOn2k5D/HfYYRjc7ShhuLXNseWH+3pu\nO1JUBHlu9LCnMO2hEHRtEM5MpPCkBLkI3b6SOWUpJioUNE4cClTFVuBTfaVdAQuo9rjmnFPQF4RA\niyKYGYByjiuaSQHSZpDRGFqB+gA1m/KdIuhvYpFOlvKyKU31TEqi6oMQ3HU3IiKKREy11dBcBrvE\nwqcoKBqFmErH+8cHuiHLyQvzuqS4OC/zC5Lmt/f1Prf7UkAEF2RlrrsjWBqSLmdieW4noCI0FMFM\n7B+KTUvT7CiEDwquWxCqTmFrdNlZqsVlTnfh4FDEPY9ZGhxn3uN783YGzf/wvXk7g3a6cXyTURQy\nTHHxXQN10YmkPO7uaAz1D//ozXz75i0eX4XChhtLzGZ+7tkr+djS+Y1829WwB3SUUc0g7p2Nddsu\n8nY6UZg7Ps9Q/3BHFcb2HolUGNTg73QVat2pMty709bPt6TeuwtTH0ygjrvE14P95gMXfTD4nobv\nOKmsTKGzFa0BC8U+AQbbZXlgh5BmKhEQC5A1hFRa2+f4eop159LcMwS5LhQ+tWWJY0eaq1CQvIYQ\n0psD7KApl1mp6XfSERcoZcCmBwCJ3bJhsazRgReXefl3Y0mXgU2X9gzhjIuw3Nzt8bztY028rKSC\nOixxQA/fTUcPzu2uNFJ1acPv3acTx0QdfKf1EMB9xqanLmyAkbhM5NTc/rLsmNyGY8x7fG/ezqCd\ntJNOi4j+NhE9R5wb9FeJ6E16wk46xpg8fp+JPPSopyWt2/tcSPP6O+rxX35Fi2scD/XsupanXr+0\nTkREsws6FoJQZSAy0wbi2S62b1DQsqBezjqxyLG+wV3WWqOlmVhO7jsC4cYQSDsrhFUa6ps+6fDn\n2VjfuWMoSQ1LTggUabmjb3GDPdlcLgOIaeaxYChTzUDwMpGed9lQz92RnRl0ckmBXMpJPyDvEtmn\nKUML6BK0+K5KhiC0iw4KrhjoMeFmGUcysyA5BqjWGkBcvFFnAm99dj4fW1licrDUgEIj190IFH0M\ntF0vS3clAyjOyIPXgrbqSzNQ5CMINIX7OHMg5OAmFIdBfH7sci/AQ1uHGAIkccE3u+nCbFd5VnOu\n8GPupPM3iOg3rbVPE8twvU6+k443b59aO4nK7gwR/QgR/RIRkbV2Yq1tk++k483bp9ZOAvUvEdEO\nEf1dY8xniOhPiejn6UN00jFG1VsSIZ86hyqSefcBp+e+eVMJp+0DhUdVgUBLM5ruOtPg9M8QNPIt\nwFcrpJHBftsOM0FrZmMhEB2IEkoEcI8mchzdT6XKcC9LsS00tIMm3ucYNPvHQuCMu3q+O33UlOd9\n2akOBAI/gQALEA7K5xZgvXWwHGPykIKcp4wC4edyHTLAkinpuVnHYsF55B1yoAY/xCqf+JiW2DlE\nPx7qHzcayv3D1UG5qPeiISm/s9D5pyHQvIwqNwL1C4nC8npDnycr4qJLu/swxgddnNPlZKuhYpuV\nkhQvwTLvqQnnkqze0fTy0fdu5ttvSgPTBOLu+fIseAxcNy43QyfBIXubdyr6+KB+RESfJaK/aa19\niYj69B5Yb5lmfGwnHWPMy8aYl3fbw+P+xJs3b6dsJ/H494novrX2G/Lv/4v4h//EnXReenrZOk/k\n5J8nUNTSkb5lt+/rC6LX17foTJNPd6ah5FEkGWhY7GCnfAa/29CzKamEoRLwSBKOCkLoViPadAHI\na0eSCVep6DRm0DfOecsJlOoOJdtsjJl7Yy1wcW91zN5yxKQJH0P6OHSA2WBCSGXQG89Cm+zUFaNA\nuCmVcugMWl4jYUUSVsSW5O4qMhgj0PmLJMPNlJV0CyQ7ccpT2KObeB8d2sGS4CYQinMSVpyF4qal\nGSb8VkE/r+wyFsHnVUEq25VSl8p6z+pzfO6oRmRTmEvRYUzHinqymFHryqKihARI2o505bm3r/M7\nlrihxft4XAjXHOOv7cfs8a21j4jonjHmugx9lYheI99Jx5u3T62dNIHnrxHR3zPGFInoJhH9O8Qv\nDd9Jx5u3T6GdtGnmt4no88d89ESddGyWUuxaF4uiDfbYLUjcex8y3SaxwqNmjeFXEzKocugN0MtE\nGPsUqD8VCz8mEw5Vid2fQr2+iz1j8YZTlSnCflJCfQFphQzdXWZEdmYOvlPe11wGd24BEGQuq20q\nuw1YLreMwdrv/GPI3MMsvlQag477WnQ0PuCY82SokBUlsK2cEwpaumKTKagfKdyORN7cFiHPQmr0\nC+WTa0E42F+G+XfwnohoWYi85RbE2ucY6s/UdclWkvtYge/WW3puZWlGWm0p4VeouO9DxhxoRiQT\nvi9xH0hRkYAPjR7ns5e0eOxPb3Lx2R6oKsWSMYnZfFNx+eOWqI8hSD/IfOaeN29n0E41Vz9LUxpJ\nDvO4K+WaSEa4lx+0ncbKy2UJy8wDuVcQ7x5MvSXBu4u+3lSWmPscS1tRKcX97VQWlIRSML9cSmyt\n1bd/BO2VK4a9Ux3er0UJb1UKQC6BF3OHxpCNnvrR8+EtO/V/ItIwXooeHzL7ZNxAFp5x/e8gV1/D\nRHBMuN5MkFYcIwkIIcQee+DennK/RSm3xXbcqBSkBCd4WMlwq0IIrwpzOCu582sQcpuRXoLFAtwT\nySCs1/UZqsA+HXCxkAWZyDUaQGFTGXcObWIthBMUhEexBdl+a01BFoBOO/mNxvv8uG22vI/kEwpp\neY/vzdsZNP/D9+btDNqpQn1rM0oFQmVOtWQMRSRjhoslgOU1gHPNikDnJrSIFgFKLMKxU+FswVoI\n5V3WGqB/MwU1j5ZuuvJIG2GGn0BEg3Ba4/hGesiVa7qfqqi4xAOInwNszMlOlKN2OO6YEk68RsxY\nzLocR0ZJ7qQPxxy5+wAKPAI7wzI8FlgU4+L4BtRyhNwLoAAI29wZd27QknxwyFlxVciYi1DxRkjM\nDOLZWexaa+u+Md5dlntVjHCJZGXfCuULrgQX1XCA9Mzv6QizKWW5OAX1UWVI1G9wieQ6GUFWZwXa\nnJ+f5+VOo6QFaVvk7s/xS7p833hTrCf3vHnzdkLzP3xv3s6gna4CT2YpERWSVGB9AjHuTJQJDUDa\nOujuV6sC6yF10kj8NqxCU0WA2zQEGOfsGHgETVvICtTPrB4nkbhtPASW2wmGVoCVB1FJa6VW3UK9\nd12g5L5C8AnCRqcVgLCejiqvTKUlyLmlAy1uirssjZAA/I+HGrMfDTtHxrKUoWZmQa8ezt3KtWGE\nxK1SxlD00unB9ydchGUr0KlIdPWxNXk50dg/BaJjAEVHsURDqsDQL0B8fmGGWfoqpE+X5L4Uq1Cg\nFfJ5TiBaEYL/C92SD5pPWnOUMp+KOMgc2Sl9B9lNVfdTi/QZ3VhjVaAL88r039rhiJcuMh5jxxRw\nPal5j+/N2xm0043jZxlNpGhkIgUjrm00EdFEut1gOLQA2XNjQQe37yohUhJyb3ldiaIitIY2Iuc9\nlcEmyCKGopXRUMmnvvRxG3bVc3UP2Ru2d1SKuSDIYQFUeSIggNz7fwwePRHvPQZlmwls58QjfCcv\n2DGYn6CbLmsxHWoGYDLal+9inB4KSzK5nkNt0zzsSrGQ1bkKQySS5BqBCA2kaw7q7GERT18Qxfj+\nnXysOuJ9lspQ2lqDmL70FczAsyWSlzBTUnS1BN9ZlL6AjQa0vBZiOIaszv6A9zOe6L2tlJT0nBHC\nsQ5KPgXJHwmBaMbnySE/1I/M66awhDnWB7slkt9Prage4Mu3OddhDK2xpztdOZL3OHWmJwvke4/v\nzdsZNP/D9+btDNopQ31LfWlu2RUYvT9UKHogbY+RbKkBWbMvQh6/94238rFXvnuLiIg+c1EFgF78\n3LP5dmuVIVsACjxZzNCus6tk2JvvbuXb33yNYek2dM2pSi38BRD1nG+JAg+IKBoo3giKUthTB/gv\nsd4hLC3iqe4nR2vr8zg9/JXbN5GSh+OOpsW2N2/KbkBeGyDiOBebPAr/h9BBaDICMU5XKFOGIqmQ\nYXAcQK06zHWQtwhXaN3r8Fzfu/VGPlafUeKr0lri8wGY60jIlbqSgBvLoIgjuR0ZLIf2Dnnp0+ko\nlG+3mVDEpdZoqkklby/WlYy8eoml29cva2vtGgh4GlFDQm2JvQNeNr1zRztBvfL27Xx7Z4/J1y58\nZ0baYLehAWw61e3pfeD8Eza/9R7fm7czaKfr8a2loXiajmRG7Rzq27YtzSYy6AE3N6ME0NWr54iI\naL6mb9s5KfRAvbnt+9peuVKXMkwggpIBe9vdB6r3t72rKjgry4wSLl04l481RKVldlE9QUWyvEpF\nfdt2txQ5tOWtj6RPQWSx+wP1pENs9xy7TDdAEeL9LYTRQpD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8EdkDfBV40Dn3ASCD59f/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\ndCHiwo+I6EL8D2beeikQLgyEAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1daddb8f28>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 9810... Discriminator Loss: 1.4782... Generator Loss: 0.6006\n",
"Epoch 1/1-Step 9820... Discriminator Loss: 1.2930... Generator Loss: 0.8293\n",
"Epoch 1/1-Step 9830... Discriminator Loss: 1.6044... Generator Loss: 0.6507\n",
"Epoch 1/1-Step 9840... Discriminator Loss: 1.3829... Generator Loss: 0.7335\n",
"Epoch 1/1-Step 9850... Discriminator Loss: 1.3934... Generator Loss: 0.6768\n",
"Epoch 1/1-Step 9860... Discriminator Loss: 1.3801... Generator Loss: 0.7877\n",
"Epoch 1/1-Step 9870... Discriminator Loss: 1.3987... Generator Loss: 0.7471\n",
"Epoch 1/1-Step 9880... Discriminator Loss: 1.2617... Generator Loss: 1.0574\n",
"Epoch 1/1-Step 9890... Discriminator Loss: 1.5471... Generator Loss: 0.8093\n",
"Epoch 1/1-Step 9900... Discriminator Loss: 1.6048... Generator Loss: 0.9721\n"
]
},
{
"data": {
"image/png": 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2Ce0jU+A5z6zA4DHAxht7yvC3JYyaQ0eZVKBQCpIpFnTSXTPM/IHuc33tDSIi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\nbtmiTBac91XFpBWfSWfBtXepGpR2c/Nxdb45F449QWRXd1S6LVlQS56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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dad7f3400>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 9910... Discriminator Loss: 1.3679... Generator Loss: 0.8096\n",
"Epoch 1/1-Step 9920... Discriminator Loss: 1.4799... Generator Loss: 0.8523\n",
"Epoch 1/1-Step 9930... Discriminator Loss: 1.5154... Generator Loss: 0.7592\n",
"Epoch 1/1-Step 9940... Discriminator Loss: 1.2642... Generator Loss: 0.8838\n",
"Epoch 1/1-Step 9950... Discriminator Loss: 1.4755... Generator Loss: 0.8207\n",
"Epoch 1/1-Step 9960... Discriminator Loss: 1.3311... Generator Loss: 1.1212\n",
"Epoch 1/1-Step 9970... Discriminator Loss: 1.2920... Generator Loss: 0.8989\n",
"Epoch 1/1-Step 9980... Discriminator Loss: 1.4537... Generator Loss: 0.8655\n",
"Epoch 1/1-Step 9990... Discriminator Loss: 1.5272... Generator Loss: 0.7564\n",
"Epoch 1/1-Step 10000... Discriminator Loss: 1.4175... Generator Loss: 0.6625\n"
]
},
{
"data": {
"image/png": 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deq9uOs6cOfvusouw+oqI/g4RfUNr/T/BR66bjjNnH1O7CNT/k0T0HxDRHyql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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dad3eaa58>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 10010... Discriminator Loss: 1.4935... Generator Loss: 0.8439\n",
"Epoch 1/1-Step 10020... Discriminator Loss: 1.2484... Generator Loss: 0.8695\n",
"Epoch 1/1-Step 10030... Discriminator Loss: 1.3282... Generator Loss: 0.8563\n",
"Epoch 1/1-Step 10040... Discriminator Loss: 1.2869... Generator Loss: 0.9696\n",
"Epoch 1/1-Step 10050... Discriminator Loss: 1.3332... Generator Loss: 0.9056\n",
"Epoch 1/1-Step 10060... Discriminator Loss: 1.3607... Generator Loss: 0.8038\n",
"Epoch 1/1-Step 10070... Discriminator Loss: 1.2698... Generator Loss: 0.8784\n",
"Epoch 1/1-Step 10080... Discriminator Loss: 1.5117... Generator Loss: 0.8056\n",
"Epoch 1/1-Step 10090... Discriminator Loss: 1.4906... Generator Loss: 0.5707\n",
"Epoch 1/1-Step 10100... Discriminator Loss: 1.2585... Generator Loss: 0.9396\n"
]
},
{
"data": {
"image/png": 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teT3J+TlJIAzX7fL4Ri0Nu24OoKRY/nYg2889BhXUpxg4z1DQWQOOkzkU4f6+\nX22yiYiMMTHxj/5vWWv/vqxeky469E7ddLx58/ajZYdh9Q0R/XUiesVa+9/BR76bjjdvT6gdBup/\nloj+DSL6njHm27LuP6V30U3HGFMTa2niSgwVZpUCZSdAum1tg8pK3WMOZJnJxf71OHOLqtBjBcoW\nGHte5XbF2bqKQlYz3Wf7/GXetlTcNBRpaezs05DSSiwCqXLIhBNCqwSIvrvDcHkEU4IQilEKie8X\nBV7jg0vr+zo1WduVUt8mxOTrFt9AzqUPtgrHcatk+nVjU9VlbkJhybZcextKmAMhI4dDnRbtQFzc\nEbZ7ELMfyVSuhHNrt/XcVk6yGGeGeQeFy4KE8YUp1iyrMbxeo1xcBG2lM4ntF/DoT3I9zq7wlhba\ntw+3uTAoB/g/11WRTDOTstypPquuoCmCzEnMzVjbZ9g/LiEfQFqsR0AqYyaem17HKLMe8PaZlBZj\nr8O3s8Ow+n9Aj545+G463rw9geZTdr15O4Z2tAo8APVDoTBDLKoQXDEFGHx7Q2PyE2mMWBHG/ivZ\nn+6nP6/MeyTFKgl0enF5w8mKpoSG0GwxEjHJChjxqM2x2im0V3bx+Rhqs415EJ5mUBCyvcWikAnE\nulMoIMqEJcfIxYEqHrEp1JC/vMYQfOki6MwbHqsAi+chvDCU+vcS03M7zEBP4HB9uJ5I4Os+CJdu\nDETPvtR1UyhUcm3DJ1B05NqTp8DkN2E8mvJMzEawjdufhfbUE2XJZzL1iTpa2JPHshX0T4gl7bUJ\nvQwmMNYvr3H9/AQEVIcTnp5hwVNzThtkRnIdIURV7mxz/B7bIyxKtIKIyMo5TUD9x6WxNyB1JSVM\nEXedmXSVyzUZS6QFc0/ezrzH9+btGNoRy2sTWeMkp506CrSvdppvQMTd3YY3r1PWAQKniiRDLdN1\n5T6omjhip1Dv4s4BvWpV6DEryS3AmPFsZySf6ZC5Ek/UZ8MW064DTllopltbrvFsTz3TFFBPLuSg\nfYiXRyshG/C70lno4xfP1+u6Tb6GfKr7CYB4zCei7Qfuw9WGhPBY9ApFIy4TMQNydW/Gnv7eVElP\nZAy7Hbe9jktHiN2oidpxOgaZ5E/YAohJ10lnG/oDgmBdJkUvQQvQVxzIX/WarQ4fe3lFPfatt27W\ny/dvvExERKcWdD9nznOeRNjScpQ8UDJyIuPaiDQ7tJIsvDfuarx/a7BVL184x/0WWw3o6COXGxwo\ni4b7J0XEi/HQAAAgAElEQVRlqCvoNCzV47/9c1Pv61Df8ubN24+V+R++N2/H0I6+aaYQa4HEJ1OA\nuV3pQoPk0Takzb58g+PuH/+IQto5EXnMIc33/hsK3aw0c+xCDLshnVNKqK0vc4ydMnTLKiWSgkQE\nIE9DS+w2w3VUcMHuPE6ZhXTGQFbIxiACmJvq9lV1OKiGAda7OwwrX9/R8/2Zp5ioM4le12BVofHa\nGk8PAkhXJUnVLaGmewRptcMpj+XuQHMItiZ8f/ogn92JNU21K2mmGUwzjFxjH8ZtHjohlTIFy3I9\nj1CmDMObCpdjSM12CpROcYmIKGzzvYibQGCKLHkDirYmgY557xRLuF++dLFeFwiMHgFBmYV6vS4f\nAWP2J09L623UYoCpI0kdPcq6J1JQ1oDpV4IpyFIklQPpPBiOZN3hpoj1NR3qW968efuxsqP1+MZQ\nKmG8jmSr9TJ96+8X7JV7Ay3HHG2pd/nD194kIqLP3tAwXEfaYwclvNXn1XsE4lg7bV3XWOCsK3Dy\nlEFoyOb8Zm4n6rka0tCh0VFPEUlzDQPZhxZQRC7lvSOUkZbeb8NdPd78uTP0tuZe8FAYFUBxkyN4\nrt3QLLvPnONxWUohngSafWtrfPwuKMmcWOaMxwSucRsKS9akJ954on3uEikyObesY7UE+3Ry6hNo\n4e3GHQtUWi0NwWbSQAT8OZVC/o22gCjt6bV1LnKoLLJKRnaitlyjXk9LdPFmEz2fHpCMS52LRETU\nB0+cSRi5gHBoNtMxKKVcNgMi1ZY8/m5MiYjSvj6DqYxRG3QdO5Lx2IB724SCp0Rakg/X9Tdx7yaj\nW/fYHbJ1nvf43rwdR/M/fG/ejqEdcRzf1GKAoagidqAP2GJLCLpTCvt2geiYSMHN1797p1631GSC\nbWFOiyZCKGJwvegKKLoocoavFnvWJVDgIrkFFoi6QkiaCQpehkysWGDacujbt7PJ0HtnT2FhJERT\nDLF/7B9ILlMO6rD1xFCYtILV/N1tkLC+v8VAudWHrDWAtCtnTsi5Q7afxIwriNPHoOAZCTHWtToV\na8jHvQ7E+7EdtwxNP9Z4dSbkXg6FSHtbmqEZSHekOGnDOh6X21DM09i8Xy+H81L8Feg1doSk7YF7\nixwJDIVgp7uwT+lsE4EQa1O6DfVbOrWYQMbjSOLqMTxjqXRXqoze2xDGOpbtDQhrljNeziEXpIBp\n4mSbidStW1pENZMitVbjfRbb9ObN24+f+R++N2/H0I4U6kdxRHOnGGL2z/Hfj0JXnLYwriEw4+ZA\no0eJc0Ls3wGptybK9s5yjWfHkrrahrbSocR6i0y3KaB5YSaSTgkwqks9ll3qz2mhRSS5ARlotO+A\nJNaGDO9OrND4fskwbWtTGfgYxEGX56RQBs4nF1hqDxRbo0AnX2MF06J/cZvH4J/f0DyIAoqFApLW\n28ACZxI/R639EPIKUmGbI6gRb0ksvrun+x5D7H8gGvopattL4dAm5F7swvW6r6YwDTx3ifMnfu7q\nC/W6u3Mn6+VNEf0cjXQsV1/iKeH9Eq47cPJuOpaTsUYuXGFVCVDfRQBKEFKFEn9KZFwCeFZdBAA9\n68G7x580oWlpVxpg5igCC/cilYMugH7D0iJPcZ96jjUk8Ll5O/Me35u3Y2hH6vErIsqk8OLECfb4\nLZAczkUFJ4d3Y3Sg7zG/p2YYT5US3vEY5J3hDe9kpitQ0zHyvjvQsQQ9aCytrFMt1IhDXjY59KKT\n7LtGS1FLp62Zfd2Evf8mxOx3dr9LRER7e2v1ugR0N2dCeBVAGJbWSWXDOUL8d2mF48MfuKDH7khu\nwZ1VJYLQY7WFlZufUwKtm0puBXQdalko2JH+bKgytDuQzDHgIrugBHReyLgYiore3GIUUpaIslBq\nm787huZGnTGPS28MmYSF+q39mZS5wrqsEuFM7BZEjljUfefg/yIZgwpaqLu27W3ojXdyUVHcSUGt\nXSAj1zaZ0N3Y0Zj7OiwX7nqhHLySXozTiZ5chckmgujw3HeHkidRuj6B71PvPGNMwxjzNWPMd6ST\nzn8p6y8ZY75qjHnDGPNbxpjknfblzZu3Hw07DNSfEdHnrbUfJqIXiehLxphPE9F/Q0T/vbX2KhHt\nENGv/PBO05s3b++nHUZzzxKRw6qx/LNE9Hki+vOy/jeI6L8gor/6dvsyJqRYNMGDUIouIIY9kXr7\nJNHTagIUCiWunmHsUwoWwgT0yQEdBfbBzjRuPwGAlBgIq3aLUzyxm4oRocUMusiEAq/SLqSEdhUC\nBnO8fZqqHvt0xCf3/Wu36nWTsZKRmUxzcijucF2CDKTC9i9r08wXXnyGiIg6E73w1XsS4450enDu\npKaMXjzP04KLF7TgaanF55nAmNNQY9NGGqI0wF/siGjky2/c0PMFd3J5nvMsTKnx6NUZfxdJtbFF\nOC7tuuE+7wvk3ZrqNQKfSEPRRpgCGVnJfirUb5BxLVCpBp63+ASfb2h154nE1c+e0lyRF87r+F9t\n8z1vWr0/G5t8bd++oQVjw+++XC/vimIQTnEiud4CnsUCpr2uTn8IUzan7rQj86LikEVeh9XVD0Vh\nd52IvkJEbxLRrrXWPZ13iNtqPWzbupPOaDR62Fe8efN2xHYocs9yatiLxpg5IvodInr2HTbBbetO\nOufPnLEuPLcvL4EMtONc95IQZJUPkhWieFNiiSd7IcyaCkCC2Sk9N1ESOnT9xqAkErLNmqkLzzz4\n9syh2GR/n0tEMUw2D/tMpdw2grLbC2fYa5xdUO9xG8qQsYNLfb6iPtM6o6oxy2d0+ztvsld5dVVD\nhE0pNX3hkqKNn/nU1Xr5qSuMEvogE50IGWanOpZlC1pZS7ehcqQk1f6Q+6hsr6lnI2zx3ZZ7Bgim\nKcMB0VKyM8hEdEQgDEVR8LgPJ/q8TMDz5dLLrsoVkVUlL2M3GuM6A8G2aUfDY2dOMCLtxno+Z5bY\no38EyNMrc4rs+oKQQugQN5HrPtHUgrLRpvac+d6Mz20G7dJzETvE/ndBgNmafO6zKZLSfOx8Jtmo\n1UMyPh9ijxXOs9buEtE/JaKfIKI5Y2pMeJaI7j5yQ2/evP1I2WFY/WXx9GSMaRLRF4noFeIXwL8m\nX/OddLx5e4LsMFD/FBH9hmHd6ICIftta+w+NMdeI6G8bY/4rIvpj4jZbb2sVWZoVLu7ustEUAroM\nNIuEBsBt11CSjMKjUIogUoBm7QbIIIu4ZYqNKSUfIAKBxxgLS0T1BBswuoaTFchAj6Wzz3hXIXYE\n+LW/wJllERRddESp5syS1mnf2XpTDyPZeUGkU4ZYMrpiUF5Ze/l6vZwLwdZN9T1+9SITeR+5pFD+\nbEMhbWvg2kVrppsRWXEDzSjLMRQljURmeltVcKzISBfwvTdBCWh1nfMI4qZOd7blVs3g3h9o6VMv\n67pciMXBEAhBKIjKpgydqwIyAGX/B6ZsQqaFkAuy1NP4+1MLHJNfjnWbZ4TUe2pONQd6WAwjUz0D\nDUhbKd+/cElzQZ6dhwzONT7OJvBeuUyxKshcxcO4249dlnLp1jTZ5+lihR1a38YOw+p/l7g19g+u\nv05EnzzUUbx58/YjZT5l15u3Y2hHmrJrra1hipOoCrApoBMtBOmhNFE47rTVgxhqpeWrfYCS2Gs9\nkeNEgJnMQ4oqDiBNmXIY6BNvJThtK90mliKdNAF2GVj/QhjkKIDpjMDxs2c1DvzSTYXgbhrSANa4\nvcTHKaHHfAU938+cZaj6+Rd0n58QLfirpzTKemJZGea0w1OBEmB9MXP6AnoN8SJMORY5QtC4opGC\np3/yo0RE9KFb2v/gy//gK/XyV97gfAJk45M+X0/S0n03cazl8FWJzTlJzhd09XGqIMsG073l6Y5R\nDk1SvBN4rp4+p9GSD53iazvb1s9PzfG6Nky1CO5F7nJR4HT6PYb4J1d0qvWJp87Vy5u7PDV6WTO3\naW2f181K3VEImhCxTP8CzEEQFn8ykqnOIbtmeo/vzdsxtCPvpOM6fdQvJsioq5zHj5RAazeVeHEC\nndjcrRtJWShktaVAjNXdSQ60Gz74V05MPw9dtx98Lwq5Bx4/lKKKOFYCZ7QHeQlOUQVKJQshqbD9\nMb7VUymQOf3UU/U6W7In2B6oe1g+qYjgz3zqAhER/fRF9eiXxLufuvTBel3zxCW9HPGwGPe2giJQ\nopogg82RflGkRUmBCJJ2n9Hv/WJLS5eT3/y7RET0z26pWs6u7D4CIdAEEFcgmXb5DLMtpbsR+KoK\ncjzg7umSePoQSFrXHakLakRPLyuCuSJCrUvQWy8peD9FBjFyyAOYSNluBaW+HemQ05rTa3zqyoV6\n+f4639MJkHH7Is46hYKzKoTeelKYZaD7lMvUG3iP782bt3cy/8P35u0Y2tFCfasQ37WgDgjj67yc\nxAolW6kWwDjlnQo6qLj4fQyw/EBBDrnWwg8Bgwah4oOfH6hslv0HQBSRQHQLKcYGPnfXiimjwy0m\nwfZ2QJcdSKqO1PZXoA402OBYeQoFN1/49OV6+ec+9QEiIrp84mK9bm6Bi2/SngqXhrHW2RuZIhFo\nCTizyFJZXTaiSmNCKF4S0ciwoaO1+OnP1cs/efseERHd+L/+cb1ud1/SgAHmplAoEwrujwKo9JZ7\nmmERDpJ75MYYckDcdAp0DJzuwjLoEJzt67ic7PHUJYV7lg2dAg/k5AIBmlX8PE6g4KwnPSI6Vp/f\n/oIuP32R03/XoVPUnV3OqdgHzf8StQREoDaAtHCb8TWOhVT2UN+bN2+PtKP1+MbUHtFpjqEHTaW0\nFsN5B8Jw8jZLMMQh5AeSdwfCdIFbB6chfw/0GTtQkOPemogCBDmEGBaUa4FQlCk1E6sQHcAYNNKm\nQ37Dr92/V69zLY6JiDLZZu21N+p1oWFPe/myltV+7iktGLl8kkN2iytK3sUtDiOFoPdngJSru//g\nwEiYyILeHEHBk+ofAuoRstNALW60oqW+l372F4iI6JPfv1Gvu3PtFSIiGkIvuikgskYqYw0klpXn\nIAOUUD6kBNXgcyD3ys70Glxm5dmTmjnZb0CBltzTEEjcmfT0cZ6dz0fPfSyE4R6gtPmKkUMF1xUD\n6by0woTi6VVtl74k5d13djQLcgpZeoUUcNkE7plcY+bC5HQ48x7fm7djaP6H783bMbQjb5OdCBRz\ncdkYIbaIZGJGFmZixdKaOIGOJA4GHyDiDtQzy/Ewji/LiPQP1Pi7bjYGSTsRMwQiz0nNYANLXJ4J\ncRNB8UwmDTnXtrWwZzjR6UEkWYcGCnsunuY8gb/45/9Uve6nf+KL9XK3zXHzuKFFJMa484WmmTBu\npm6PjQF0+SyC1tkHch1kjBBi19MD2ATaRadnLhIR0Qsf+4l63VeF8NsdKaTdg4zH4ZTvfwIZj4FM\n8wwQt8EBEleyLeGEY0cY5jiN4Gu7CN2autDy2orST4BiATIeFUB9AwVeM2nFXkL+SSX5J1UIhCoo\nG7W7fE+Xl3T6Ni+NWVMg70r4fbgcGNTfjJxGxUMEWd/OvMf35u0Ymv/he/N2DO1oob7RriNlHWNV\n3FKIOLuB91EC8CmW5QCKGBzRjM0CgwNwUPIFALqZuu5fLXgIRLJYlOHOyT4I/w1MCXCakUkaZQoN\nJV3MfnVbZZh2J1pjPrfIbHOsIV/6N3/+w0RE9KXP/rl6XbevXWQc8Z6BMOZU6uRz0KHHOH7a4QPE\nLYiQiARV0NGDGxAcdbOuaqasfym6+sWu5iUUm6DlL2Mw3Na6//2B6BiAfjxGd6qQL2hWQPxd2PwQ\nngcYdbIyTTzQH8FFWyAF2bUjiOF5GIBQ/a4U33QgUjORGv4K8gpCKATby0SCLdDxHYiM2TrckxQi\nJAPRUMjhfFNJYT4QycL+CvIXOyZZ+QEcTnBLzXt8b96OoR2pxw+IqCEeeCaeHtVEXNFLE7xMCKdY\nZvx2LMCLOYVszNYzIHPswqghSGk7YsZAPoBFyW7XzaZ8UOnEnQMRUdJ0MV94A8Mb3HWuyWYqWJlK\nS+ZmC9pGD7WA5ZnTTDp99IMX63Vf+hiXvjaBKCr2gRi7z8U7b33/+/W627duExHRaKykGQo3um7T\nSy31KM98iLMBlz/w6XpdvHRFr02uc7KuaOWtP/wXRET0ytf+v3odTfR6r4hA5S6U5e6LMOo6fG8G\nhFajKV4M0glmEvNfhO9V4LcC6ZQEnCglrosSZB+2pPtRBGju5i0tfnp1xqKh3a6OdVsyRq9A+W6z\nUkRQDPlZ3hnqNW7vsarSDOSzY8jCawnCabehnFxaqKeQvzCB562qnBjnQ5JSHppu+mg7tMcXie0/\nNsb8Q/m/76TjzdsTao8D9X+NWGTTme+k483bE2qHgvrGmLNE9K8Q0X9NRP++YazxLjrpmBrGFKKE\nEkPcuy1ikAnAsHKGiiulnLTCJ8fL5NDhppHpNi1Xpw+EiMsHMAdIEoVUmbR53l5VCL5xl9XDJ1BA\n0YgZri9BTDgCgicUiDgbQPcdSUvutLSGH8PirRHD38+e0tr6WJpuDnf1vbu3q4o3t954jYiIEujd\n/MxZjg9vbSsQ+971t+rl77zE1zMPakb5Jn/+KYC5vY7W1lspyBndfb1eN9xk0c8rT6nSzLnnVaKx\ns8BpxFuv6jZzf3iNr2FN9fkPKPTIlMLAVMv12T4HYqclTBNrVSUorglkrhDD9OtMj4nLD11QNZz5\n7nP1slPGuX5Dx6qUVNwQTmcB7t9zp/lebUNTTJJ8ARvqlKADy0sLnLI7t6Cpw0/d5rF86XVN594Z\nQcGOPP9lAWnJ5FLW6bHssF//H4joPyZNYl+kd9FJZ+g76Xjz9iNh7+jxjTF/hojWrbXfNMb8zOMe\nADvpXD53xrYknuIkp0Pwus5hGWifPJ1o2WI2Zm+YDzT85d6C3Z6GoNotIF5GomHXUo/S7AhyAAWY\nbKxeeSwvqBmorBQi4DaZKanmwkXoZSxqwkl5K7bw3h/xuhEUdCRAWH3sBHvqpy+qR6JNJpymgH72\nttQrjIacBbgNRN53XmKvupmpd8g7WqSzeJX3v6LJftRZYMRVjKBvH5SNZoKk3rr2zXqdtA+kZk89\n/t5rKhc+GXKx0bVrKgd+d4/vX4nIDnyQaxGOhT8kob1WrOvyA/FY9z0IEcpyDGSYIwmvARF69bQi\ntkxIwgXogTjX5nuyvKjfm5/XcGrT8ri2rPaUWZfeeDmwbVv7igh2bnO49dxJLdJZXGR09YlLWnK9\nOdJnZ0u671QQAndDEDii2hyO3TsM1P8sEf1ZY8zPE1GDiHpE9FdIOumI1/eddLx5e4LsHaG+tfY/\nsdaetdZeJKJfIqJ/Yq3918l30vHm7Ym19xLH/0v0mJ10wiCgTspwcpIxjM5BtSSUeuUY4P/+rsKj\njftMto0HCj8daXfhvELjNFLiZSK17qNdzRxrtXmfza5C38GWkmUkGVphR+HexgYf8/rrN+p1T5/m\nGPUp6IrTbOs+c6nTrqCR4a5kuO0OtEinAZ1/Pn6Oa9k7LZ26ZDGfTwHQeHFF6/FLgXevAMS+I11Z\nxpESda1FFZVsrrAUdxbo+G/nDMHv37yj5zan7bw37/KU4w/+4Fv1uusbnLUWQTbfPKDNF5cZyr4J\nGWy7hatv13E5AF+lyOdAvX31oEYCei2XooCdZGZD6RYEj3nU55PbgTyINWix/q1XmSj9/Kc+Vq87\nc5LHut/W54pGmoOQyDm1Y+iytMvXaEDp5+uv6HQnEgHW/V29P2cv8PTh7KLOvxY7un0e87lPKj12\nOeVjJ/Vv5v2D+rVZa3+fiH5fln0nHW/enlDzKbvevB1DO3KxTVcMUwrUt7nCvVQY/xRq5/cgBOgK\nFhaAXZ3JfopM2dwK9c8lejBBrXIJ/qN+/N62Qv1IilnaiUpmnRJY351TFrbv+t5DDkCYQIFRQ9h6\n6P3uQpoB6KX3G5CKK1OSAhpTlrINXmNjTrdZFhmpKNXbefoyT33uDBTKr0GUYnuH025z0NXfHfIx\nxy1NIz1xUtn6SppD/tyXVAvg3hZzums3Ne69DOP6zHPPEhFR57qO79+79YdEdLBjTIGCmDIrCA5o\nH8gydBAKIRU3kDKVCvJ8MydpBvs5v8TPzuXTmp/QaetYPi1j+Sz0NZhrM9w2mULsIYilJjLu7b5O\n85alE9LiU8/U68oMnkGJXC11dXowkc8nAUSgoENUO5AiNkj9nbpnwk2LfD2+N2/eHmVHrsDj3jRO\nDvtAKFbIngDe2n3wPl0hTxqJrotkXQzyzDEo+JSieIMxcIcc8hlkfmF/NYn1WhDBXBKSZXkeVG7k\nLZtguBlaN1s5pVmp65zHT1Po7zev5N43X+HsvJXTqszSkqIVC4WoIVyvlWKXcKAeyUoZ7M49LZF9\nFQjOHRFubHahrXfJ13sBOuEgmkkla26uqzHsCx/9FBERlZDfYDIlXwMJ9G8MXq7Xbc7+gIi0Cwxf\nG5B7EktHpWiHzgyQgEiauiw+i5Lpsjgcw7jIIc+d1muwpX5+8RNcAt2GLMhQkNJkrOhzOtVtKinB\nbc8pebq0xMgwzHSbjzz/rB7TXQ+g29uiTPTWtdv1OhMr6ozld5ESljDL3/LxCnO9x/fm7Ria/+F7\n83YM7UihfmUryhxEEmhSAjR22aVVU6Fvv4219fyeCoHACIXwCKGGGVVLBk7VB+v1JeZZlfq9NFVi\nZiZ9ml3zRiKiJJFpCIrtCOq0QLbkoOaSy3mOcp267EhqcA9Iwt6Kkktb3/0eERHtg6JNt8ewtDEP\nzSgXdft2yMRjb6o5D80NhotmTqHiSqH5BuMmX++tDc0noE2uSz+zrHXncQjFRAXD1sH1l+p1rRWe\nkqQLmvNgcz1mscW5ARubej3D+p5AFyVCXP9ogioy+r0Au/zI9pixGkl8fjrQKduqiJwmULg/D+fe\n6/BULoR5hrvnJfQbyCFNm6a8rBF3oka3Idvo891f0G84Ergq9bm9u8bTv3tQ1GWA3OtKlZCBfgRW\npqszGbJDluN7j+/N23G0I/X4tqpoIoUGkSih4Ft/Kp5xBllgDfDUkSwjkRdJtl8Ecsf43ptMp7KN\neqFAimtC0FALgKFz3KCBTLla2w/UzawQTVWOJBOUDMviBN7QDrVchCKcBFLdmhISQo+/IP3tkqZm\n8wXQ6SWQjDILMtFtoU0vzqn3vtBTj7MtajGbG/+sXre0wihi6QR4/Abo70lZ6cbL6vHnVzlbMOpo\n+OuAxXweU0BKhcsyw65EKCojXh39vvs4AWQXQIana2l+IARYtzvXdesShtvfUzLy1Ekl+qQWiyKL\n/QGlRyI8VwVkCFZOkw/ufSQ7mu2r984niuxq5hGeQYcMx3BvsXOT68jUglJqRybXRPUhi3S8x/fm\n7Ria/+F783YM7WihPhkqJQbpJIQjKJBwDSNnUFOdAzGWSBw5BmnjVGL6CPVLgGFOtjmB7jBuuQFF\nFwXEaDPJnApBMcXtH1telwL1S4ihFhBbzgV2bkFRUSLZiVevaoPLCennW3Lt33hVm2Zaqcm+ksK0\nB9pSpw3ORmssQrHQxYt8vqlOcUrI3Atf/S4RES3DVOqcQPzQgopQonkLyRKPV/+0xpmLqbteHaug\noceMLBNnaVszAF0dvn1EwY0rtEH+zES8rgFTssZMxyCTKV8BORyBceKUup+xTDVHcL9TINAaMp0y\nBcTKBUYHQDpauM9uymHgehLJP5mCMhS28A6l1XgJeQl5JvkjIIpKoNXgpolBAdNSyYVwYrOHRPre\n43vzdhzN//C9eTuGdrRQ3xDlgkVcuiuqBFYCV8YAnRslwKfCddpRCwXKhxAdyKEYwrGnOKVIHZyD\ndSVIb2kdOLwXBbZjx55CGP4SziiHSMC+FLXcWF+t111YYFh+6oyKae5OtCDHpeLuTPR8rktnmqV9\nLU5K9iBKIVJj2N0lEoiPXX6qgabs5re4NvxsU/czL1OgCNhpAz3dQ0lb7l24Wq8b3uIa/cacCpOm\nJ1V+0U54PLa2VC4tl+lMCfkPFcBgI/F5zMdwHXISIO1TOLfUTVmAwY8cTIa02KlEYArQq2+A9kEi\nsD/b1vN1xT5lAUU2sFwIC59Bem4gabwB5B0QFFmF0l2pxPRygfoVpHjj076f8zH3tzVfYzLmZ6zV\nl7wOz+p78+btUXZYee0bRDQgbtFVWGs/boxZIKLfIqKLRHSDiH7RWrvzqH0QcVw2M65Ntvw9UHgi\nyivwOsLeYq50E2Oojsgz0JcsR5FMIU8yyMQyDlEAcViCVwiFnDLQP60SSWMTIbHC516BV80AEawJ\nqVeAMsvVZ18gIqJGS7PFokILPk4vc6FHH7LJcimtHUFRUQ9Kj1NBK8GeZuFZ8RrY1i/bVWThWuYt\nd5XgvPXaDSIiemug5J3V2iZKpRT47vdUKtsls6XQby9s6rlnQz7nP75xo15X1PcHi3TUTN3aHIgt\nWW4mep9aDehTKJ1tkHQzhu/jKFJPPJN7XpWYHwLoyZG4cJ9nUo47hhLxaa4eP5eSb2v0/iSCvhoN\nHV8sA3fd7pDIG4w4x6AJOt6ISreGfDOmoFrlyO1On4+DHaXezh7H4/8pa+2L1tqPy/9/nYh+z1r7\nFBH9nvzfmzdvT4C9F6j/C8SNNEj+/qvv/XS8efN2FHZYcs8S0f9jjLFE9D+JVv6KtdYxOqtEtPLI\nrcUqIsok5pkKJEY4F5KDa9A6G7gKt1xA7NPFQS3A+ww66bi0TUx3jSQNtcJikBggokwfppmSLO67\niQESUTbPAU+P4dy3przcX1Eib/HcBV7AaQSk2jaasn/QlJ+5NtgQ2J5CcVPqyMwxppQyPDUWOk9W\nOi7dJYbjGOcPBfJuremU4M2bN+vl/Zd5JteE4qUPvMj16/GcQtp8rMTYmkD8b91RoclSpiEVxvGh\naCYSBi80kIYtzw22kG7Buedu2gVi+64YqwEKR5kIcI6H2IVH9+NcYdzUbTqLnINgmlrI1QathlJS\nzHqVw/cAACAASURBVBsJ5DI4EhtTe0FxyKlA4RR0TQqI2pCSjmSyo/SW+kBGJnwfA3mmzSFb6hz2\nh/85a+1dY8wJIvqKMeb7+KG11spL4QEzxvwqEf0qEdH8XP9hX/HmzdsR26F++NZyixBr7box5neI\n1XXXjDGnrLX3jTGniGj9EdvWnXTOnT1jJxIWi1z7anjTx/K6jaD4IojjB5YtEBiu9DWfavhrMFKP\n4y6xDQUqUcpvxxmoqGRT9abZhD1SBl61IZlYHavewam9ILmXQ1FFJB7i3IoWgXQX+OWHxUkoEdiS\n7DyUibZS8BHEgDbAWzqZajtVLxSI8hB0HKc4RU/Cf9ttvZ7u8+y9r3xcy39R52+2x0ggADKyFJnq\nwS0NWZakKOOVN5kI3AUU4Iqb0Fdg6M7J5NgDEjx8jSl4VQLS1EbJA+frFHpa4PFLCX9tg2aeARTn\nzsnmkGUnIcBmACpPsXr/QpRxLJButWIQIFqUEJ+JvPbeSJ/bqYQIsbsO/kLzAV97DATnVIqB86Qp\n5384j/+O3zLGtI0xXbdMRD9LRC8R0ZeJG2kQ+YYa3rw9UXYYj79CRL/DDXIpIqL/3Vr7j4wxXyei\n3zbG/AoR3SSiX/zhnaY3b97eT3vHH740zvjwQ9ZvEdEXHudgFRnK5JCZg3MAk0PB/0kEkCpSOFdn\n30HjxJnAoxE0d5xCy+U0YVifDxWGZVOGSgOIy+bYHFKWB1P9vOVEP0MVwYwFdkapQkkkc+Yl0+30\nee16kwiUnwAJNYH4vKvnxyYyEyGCCoj5VlC8QXIeBkmhyBWogH7AFMhK0QgwpUJns8fkXdhT+J80\nFHY2Ay7iKXMdq9WbDPG//o0/qtdliUL9YJHJpxAEUt1VoBK0hf8UmRPWhKIiV2yVKMSOIfcikiIe\ng1C/kFr1ho7LRJ6tu5ua8xDAM2aks9AUWl7nouAzhezOKTQozYXcq4B8jaUhawRdkhIQjnUS8Gv3\nVQy1I/X2F0+rHsJ4qLoBs+FQttXne1umnmGXn7XghxDH9+bN24+J+R++N2/H0I62kw6ZWmy+FFhU\nQVFBIOxqC2BhI9RlVx9v8H3lNrfAko8hRiuxeAcFiTRNcgqscQ4aADPJAzjA6osUE4Ri6w4qEQh1\nhlB00ZvnKcCpcwr1m31m9cfbuu8RFCVlU9GHh6KVicswhsISC0x0KPC30dIph2PwDZxwCY0iiyFP\nY0qoSzeGIWtp4HqA3bZybuMNZcR3JF31zPMX6nVLz5zXY7YYtrZv/J/1uiBck2uAOP4BsVSZhqC8\nmPQhaMO0qoLHIAyEWW9A4ZVELEqQRhvJFOnWpgahLNz7SGLks4FGIfbu8hQoA0m4GRQyZVJsNEMR\nTCk06sxrzH3lkhYvZVLEM4Np6bOXedxOXFJZttV72n0+l2uMQPN/o+LvbkvEJ4pRgu7R5j2+N2/H\n0I7U4wdUUUrsTWMpkqggjmnFS4UQfA6BnCIXrwZvmEoGXAeKXqoWsEaS9mYm+ra2hr2CAU+LnXYq\nebN3MXtLiJcKsgKNeNgMCKUpEHVhk727y64iIjIk5ZjghfIpZG/t8/67XShAWeCxGlbqHebAU9T7\nQg8pWZBxW8nIcP5ivUxnBT0ZGOs5RiZBTwk97EPo8gTMdc3mW5Jy0PlnFdUg+Xrt2yzMuTuB7jqS\nu2EhhyMAYrJm/YAATcQTt0Is5cVqLh43qL2pswlDQAnTMXvl3U3t5bf2urYXP998moiIUijVbbX5\nnnbbQFBC5uVMPP4YCOJCZLXnz2pCa6OvuSQ3r7PC0u21e/W6C89e5msAkjAH0vPcRT63Rkc79lQb\n/Cw7whUzYd/OvMf35u0Ymv/he/N2DO1ooX5VUmfMBFNTIGKCHUukeKOYKrEyg6IDWwqsgfTOSiBX\nOVGInYIoZSDLRa5ppi7OnwMRZ6HwxC1bSD0tJF+ggJbX7tSnlZJm41DhXFoyXNy8qTIFg5Ih2fYQ\nmi4OlBR6TWBpe1sJtECaZiK5FKZ6HklP6tcbcA0Sx8cKcFTWCSNp/QwKR2aPj2nHEO+HbkOVEKXZ\nnsa4narM9K7Go7duaj3/V/7l14iIaLKlYxCLck4FUwKM47spSwJE3cJJhrcNSM2mlpKQgcv9gASI\nTKYKKw1Ir5UQ+X6u1/W9b2pDz46kXBsYKxcbr6DIqSqh243A67Sj15O6+Dp0+xlt6xisr/N47e0r\nubp6jwnH7T1dd39Tn61OX9qhAyG+tS/X25epByaAvI15j+/N2zG0I/X4aZzSZSlL3RfvcXdNPcWd\nDX4jvgZqLXfuaDhjd48JmSlkLrledQcKOqCAxb0AS0QWTgUI0ASWPzqP1IHijla7JX/Vo09qLTbI\nwgPSbibLObT9DkjCPFBgcva0FsVM7jHZM4YQ045k3E2gLx9KUzeEFO0B+ZRKeCeB7LYF6EPotimw\na4t8NwYJayRSd/b4eocj9XxOLhyAA42mEPOUfZ49qWP58QUuU756TkmqK6dVGny5waRoHunnwRIv\nf+ajn6nXxW3o1yceejZSJLUrKGPj/lq97sZdHt9vv6IqQv/bS7r8P371W0RENIUyb/fs4DUisZhJ\ntmaOylCyfQX3scLnQIbdwPgmX3+N/0KhVxMyNJsS8uyA8GC/zahyWcanmmKB2qPNe3xv3o6h+R++\nN2/H0I44jm8oFVHE2YAJjK0thWZ3hci4u6Ex1q2BEklTidViI8FAVFpKgFQlEBxOkQSLZ5wEsUUx\nR8gWdMKOBdRfj4TviloKl13XnAJr4+FdWohwYwWNESuJxc9AhntnDBlhUjg0hKnJvsTS8wPtwQGi\ny+pBjtl+vM/5lsabY2g/HgqEnGVA+MlYJU0sWoHsOilMQYHIQLLIphDvn4JstlNLyvdh+iXn3oVi\noPOLuk1TciYa3VN6bss8PUhCaOKZ6/Xke3xukzUlxrZu8DTSEWlERHfuM4F2644W6azvKjweyTOG\nyjhOKagAwq+Az92UDhWF6lwEiMkf7L7DYxCgmKzAfiSvCcbaTe9QftuQNIVtyLSz9OSeN2/eHmH+\nh+/N2zG0oy3SMQEFMbO7MyuSTZCWeXeHWdidscYupxBLJ6mrDlIoRHAQHurKUTbJ7R0LPuq6HoRU\nINxIThYLCh5yga/7UIjhLIPdzEBSy5H9pXkQGs+geGYAMHkiU5Y9YPDrIYIpTgXpriTdWopCzy2W\n7/ZhahIvQXquxL3tUMc3kmhGb1nj3lGsYzk1AieNbiO1JgcEUAvYJhN4XAA8DXPeaD3TWPi21eUP\nSnpu1dVoh2kzax0Eep8qkEubrjNcX/++5hDcvcPLd3a0IOfVVV63uqcx9X1IuZ6IyOkMRTIFomMz\n1uJAo1RZj01sHJSH54EOPIO8zQHP63IIcBpnHoy6BPD5ION7kYrsFzbhfDvzHt+bt2Noh+2kM0dE\n/zMRvUDsRP9tInqVHrOTjgkMxRIbH0lRzO0N7bm2vsnLk4l6fCQyXBlsGj74NibMvIO3pJW3owEy\nzaXcWXiDJyCvnYhXbkC8dEYumw88l2SeVVgcg2XGDm9AbD+QDioxkDYRquTQg1a/9fG6gMAsnccC\nFNCSrLd2S68BhGj0PIGIcwpIp/qKdBZguVPyPbsJBU070h9wZHEsoZegnGcBYzCQbDVI4aCbPT3P\nffHujUDJvaTiYhccnymUFK/e5sKha2++VK978z7ngNzcAXJvxM/WCK4bibxMEFeOUtiu6031IJIk\nAoFOyAVxpCjKhqMOtVuL5F4kAp0RKgth6bEgggRWNsR3l1JCfiAD8m3ssB7/rxDRP7LWPkssw/UK\n+U463rw9sXYYld0+Ef0UEf11IiJrbWat3SXfScebtyfWDgP1LxHRBhH9TWPMh4nom0T0a/QuOumQ\npbqm/s4dhmY3b79Vf7wnuu2odx8BhO8KqbfQVfjZiCQVFDiNAkgfh4gPxL0F4meQWmpCjPMzbAqg\nqWYgcL6E7i6hI5pAMHQGcdTKEUAAgyPXkedAPwFdToRgA+l0KoSsrLCghsAEWmNxUr/DUL8FWvwl\n1P2PhQgcgwjpkrRuvryiXXFW5pRM6wix2YF49vU1IWn3dApUwFhb6Qw0hlyFXMjM/W0l9G5FSsC9\nJl89mWl69MopfryKPW3Ksntbibw3Xr1GRESv3r1Rr7uxzftcA8HKodyTHHwe5n2U8nlRYHr0g30A\nHjYnww7VmmsCxO4BcVDRS0D9AIHpCWyTwrOVyjOT4rMjHYRySeu272ORTkREHyWiv2qt/QgRjegH\nYL3licUjO+kYY75hjPnG7mD/YV/x5s3bEdthPP4dIrpjrf2q/P/vEv/wH7uTztPnz9s9Ca3c32bi\npbRT+LZ0SwEW6uJ5LcT4yQ9ygc9zZ1XtZbHLRBB6s/X7mvk3qsseQdVkwoiimum6tKGhrk3JFrx2\nU9VRNoXQCoC4ihu8PIb3J3bSmQlKwPZ17srawYNvciIiIy4gakB3HinbnWVIxOlxOlJ8M9/T0F1f\n1iV4bqDZN564IhI9uTPSI+7KGe3800nh3ERmGtSzqSUobDDSlesjKJF25wmebSYiggnAGgtk2to6\n37/WgnbnWc45XDcFom60q8sTKU6Zlfo8ZdLDG1uFO4WaCMjeGDx5Zh9CBrs+eISrsEeffAJaeC5s\nG0JnmxTC0C47MQGSNxYkGgPaiAFdOTnxRgwZnALYRtP3mdyz1q4S0W1jzDOy6gtEdI18Jx1v3p5Y\nO2wCz18kor9ljEmI6DoR/VvELw3fScebtyfQDts089tE9PGHfPRYnXSMMZQKhD11grOyrkMnEdc6\n+MSKwvs/9/mP1cs//cJzRES01NU67TTiLDNjFeZOrig5ONpi2IgahKXA9nxfyaX2PHTIkQ443/rG\n1+p1f+ef8PLGWKFkO3SZhFprPoYuQFZyECxkb6UiFtkAsBVBIYeL1YYAg7cF4s0qjPnq9v0OT1Pm\nO3qcnstyJLURdH8ZC1GHsPHMAl9HNwV5czgPlxvQhJ2eXWAi8JnTOuaTtzSdIxCyMoMMwko0CRCC\n9zoKg1e6fPxWU6/H8WIVZMxFoGlgRCVnCtDYNSZN4Hpmsj0qD2HjVleohPkYlczVsGCJggP0qhxP\nByaU7kZpQ8nRdkvJykbK554ayH+Qcwug+WkErdpDIRlbDT32bMbnNJTMvarymXvevHl7hB1prn4Y\nhdTrs2ddWZQ8bMgvj+SN9tkXtDnDFz+hbftW5pl8iixkSJXuL3iCrnqCpnFS0UDGCHFTdNUD4hu+\ndYKF2T732Z+q122vMjr48re+Xa+rxINim+UmSIMb0XorQsg+FG8XQbZfBLpsXfFyI/CGjvzTPLWD\nGV1zUnq7BGHOpuvRN1YPsDeAnoLitk+e0Lx8p+wSAkEUJ+qxUvFSFiTGmx3+/OlzKsl9d0fPtBiK\nNDUQts7ZxhCqTZp6wSsnOFc/gWO7fnolIJ3JSMd1R65tDHUada0E+DcTunx38Phw7134GDPqXAtv\n3OagyhMfMwTyLmkzemqC3l8CCCUSZJgCIej0JzEsiM+l+62UQFQ7aW9XCn3IaJ73+N68HUfzP3xv\n3o6hHa0CjwmoHTN8O1HLays2WWgyTP7Ci8/W607MLdXLqSjZGDhtl81WFQo/CeOgAk/DWAm4MOJz\nsB2I7Q9UztoIbGp1lWT81AdeICKil67fqtdd3+dtxhM9dtmFTC3ZHkslc1lOoRML3oaGQMAigv24\nODKgPsxEnJf2y6eX4BqlgOg6KBiNJgqNz11mcctLl7T01WWoWcLxUwjenmciD8VDR1t87XOn9D49\nDbkX4+s8RhXc546IeSaKfKkLxGRXCnbito6RmwaOdrVbzW2Q8b6zzjH/CUxDilrxBjInXaELMItY\nnp3Jd2M4OS36whbc0G9P9tlo6/i3uzJdCaEsOoSpgLDNWKwVSE5FiNl6QA6WkodRVTr+jqR1Iq/V\n+1yk482btx8j8z98b96OoR0t1A8CagoEunj5ChERrfRUPHE+Zbjy7HltE9xMNPYZhQylTAKtkl2d\ndwuaa2JdtLzbAmi3HQjUNwD/U2iJXY2ZwbczZcHPfIBzCH72nuoH/IOvcRbzNog5Yqvk0MVoIYmg\nEEa2tAA1gcFvS/x3Aky/Q5oI7xO4xq7Eyk/P6VjtS/rnFJqFtlPd5op0pjkN0xkz4bTXAhp/Wlhu\nt3h6trig04NvfvsGbxsre335hH6eTxl6fm9VpxyFTKV6kV54F2LpuRvDUPMsIsmJWL9zvV5347bq\n4e8O+R5k+YMpuwF07KmhN6TcYov0QKYHqCngQigGokmoAhVLO+4WdPZpyn3EKQU2tAxkvYH77D5u\nRTo90D0S5ZIDMh7qdGcw5vyJWeHaq3uo782bt0fYEXv8kJotJoiWxXstpPpOWxK55eUFUF5JtAyz\nEtc42dEqv1zabKeQFZVAhxUnm+28PJ8HX7YBssU0oStLym/PYl/frPGMj33x6jP1ug/eY0JpbU/l\nmTPw+Nb1xwM9PyuZcjlU7kDyVt2NZQZ5CY4Yw5iuARLH3cQT8zqWGzdFPhpUhi6fUHQViqfItvVz\nl8U3Het1z4bYu1DuGXj8JOBiq+9e04Kaqxc0pn9Z7qkFRPXN2+L9h0Ai6iZkRZPPWiBNRf3H9TAk\nIpqW+vlU1s+A5HUadSnEz2tGERR4CJSWQsk3QEUhE/C9akKGZhNaqAeyTwM6iYmggwg8fgSErhWf\nG8O5tSS3IgUZ7hB6BU7l/pfQUtzF8WdybB/H9+bN2yPN//C9eTuGdqRQvypLmkqr4EgKDa4sKJQ/\n2eLTCYHtGtxTCLn61h3+u6VdUNrzTFKtnNbpwTyQKA15tQWQSlu/7hBjQ2yanAoLFOTMdhie9uYU\nk37uE9zAEfMKfveatlzemDrYibXdfPACiCJsTOkg/gxgo8NvqK5SAIRvC1S9uqyx9PEWn7tZUoh9\nYVmVdVwr7BAgbyxtnndva5PJErrMTPdlejDUfS5IAczqlkLsu7d1KnZujqHsBejiMxTdgBsbuu/x\npl7PQKYx5QTu8wkutqqg0Gh9qNsPZCqB3YYaEgOPQWvBSjFPDHXyB+LmMjUEHpSiiMeoA9fQhM5L\nLvu6BCFWI+m3WPePP7ZSzjOCZ6Mt59YEojMoUCGVTyoDUtTIudfy5j6O782bt0fZkXr8bDSi61/j\nNsTLH+Rw3vPnztSfN6RAYrSqYj63rv1xvexKHT/wkU/W61rLXNBjsOX1g70mDoTmSF7cFrydzbWw\npBRPbUAVptllZNLsq8dvtrjgqJro995a0wzAkWSTTaeAJqRUtAJyrwKPvyqFJ5ugjDMtXZtm0IaD\n5eUWE00rEE56bpHJytk9JeoSKNLpSrhqoa2PwMmzTNpZCDFt3NR7sb7K+xpApuJEdtkFBDMH2Wqp\nhFszKDXtizdsAGrZ29brXRPNxLyrYdLlc+z9B4AsNgZAqsp4YMadK4Ntt5SIc6WzOZTljqa6z/0B\nXyO2qu70G3Jd6vF7TR1rhyJmRq9xIiE3C2QvKuskQhQ24HwdykAUFgGh68qyscmGuwynG3hIbs97\nfG/ejqP5H743b8fQ3hHqi9beb8Gqy0T0nxHR/0qP2UmnrCwNMyaIzveYaLp4WWvvqyETaDFkWp19\nRgt2mj0mr0KQuJ7d4zgyEmwxtIY2bl8I9xoCMSFeWgJsrISQqYwSONMBx1MHd5RsrDKGdpgR98lL\nl+pl1+r6pT0V/3QZeRbi9Ejuuc40u6C8kkmNOcbxMXOvlOy63U1o9yzS4a+vg7T0UFVyrkghzNVc\nx+Xqcyxi2jt9vl63fu979fIbQtrd39P9bEmdfAEk1gLEmU82RfsA4Gsp+QIRrsPeezKeEdSqu4y8\nnbFeI8ggUE+y5xKIr/e6DPXjRJ+HXcn72N3Vcdmf6PU4oq43p/vpSybdqa4+D0vzkF8iz94u6TTv\nvvTmGwx0qjWF6Vmrw1OxFugULLrCHnieJtBfcEemClOQfXeFSIcV2XR2GLHNV621L1prXySijxHR\nmIh+h3wnHW/enlh7XKj/BSJ601p7k3wnHW/enlh7XFb/l4joN2X5sTvpBEFAbUmNDeXQ+b5Crihn\ndhVrmDNooHn92yx4ubmjkOrNTWZ7L5xVLfhnn7taLy+scN15o1IxTVcgUWaQ/rmt+8xE930fUkq/\n87XvEBHR//21P6rXfeIM5w48dVGLihZ6yvae7fJ0ZjVTaLYX8fJwpExyDrB/b8afj0FD36XxosBm\nC1qwxDJVuAPTkO39B4U+b2wrpLUTxrTPnFJIuyDX0bn4gXrdhXsKrf/l17n70c4EILr8RZHL70Pr\n7V0R67za1/M9K7X3M0CnN7Z0ny0Jy5w9raKqewK3TQRdlCCF1smpIasfSIwc9RLcs7MPU7spCFQ2\nRGg1ID1OJXXwiQEGHoq+ItGY2IfU7VC0I4pCL3J7Xz9vSW/1EsZtsiHPMuS2BBD5mImewgyiA9jc\n83Hs0B5fpLX/LBH9nR/87LCddPbGo4d9xZs3b0dsj+Pxf46IvmWtdWldj91J5/mz52xbsvMSJ+xI\n6h3SRGKxcFblSMs53Wvq4oc/pNus8+kc6DwD76CJvGxQCDGSVt05FKNM9/U4jjuJGprpduFDzxMR\n0Weg7POsZMrl0JstDPQN3BeSsT9QTzEVMiaDbLEKSLtCArMFeKFS1hm4rhiSFa5c4PN4DpSLRnt8\nHnMrimQuLGsZazxj7/Psh6/U67qXP8XX3dUsyMWLSkx+5EVWvJm7q5l99f4g27KqdAzOLbJnPHNC\nC5WShK9tZ0vHrfiuZulNBQqMdnSsi45IooODm0Lr7VRi7GGgD09Run6HOv7dORZSbfVP1OsyQFzz\nc4wMm0C6NUTRtdnQQq4qh4IpJyEOnYpIPH6zr6ilHyoaTKU4rdXWdbFlRNbtqcdHKfM31/gntr2n\nhJ/r8YfqTIexx5nj/zIpzCfynXS8eXti7VA/fGNMm4i+SER/H1b/ZSL6ojHmdSL60/J/b968PQF2\n2E46IyJa/IF1W/SYnXTIEgUSk7aSwtmFopeYeF0I6ZLzF87Wy2mPTyGAAomVU0zqVVBTXUANcyWq\nMuUU6uQFL5YTbNip5tJybQDw1PDy4mc+W6+bCkG3e1eba+4OdcrQkanCUkdh+3AiyjgBknd6ve6b\nGJZ1AooopNiGWLmD+uc/rD0IDPH5XtzS1IpPflq1BBoNPv7CZZ0eJAuX+dhQDBRD/sMn/zQXJX2u\nB/kNe0wo5hs6pYCwObX6EpuG3Aqb8T2ZbOvssNPQY67d5vt3HyBt3uVxzXOF7Q7KE2kxTArqTI4I\nbEHN+4IU7kA1PhnC2nveTwKFMHNC2ELtzIEpB+V87iGk9HbbfO97Xf3ZNM7ouLVEWLYFz/K8TIPb\nKOo5U14skD4DA1BVKtw05TGxvs/c8+btGNqRFukQ2VoRZvcOl9guQEuY1JEa4HHSvhIdYYNDLQUU\n3BjXZhuy+SLw/rOc1wegY2YlPaua6Zs+DJD8E9UekDZO23xO7Uz3PR3w9yY7SkzRVN+8c/NMBs1B\n+KsrmXtjBSCUgZJM9HYvbkABLQjTLUrnn6SjZGTYZBSQLipR16/gOEIuhQ2QvhESzE417Be2lATr\ntZn4aiypFwtiGUO4BltCdl0xkXUQSpwyqRdA55+zUNLaWWTvPn5Nr3FVMhkjq/ekCZ68zESBJodn\nR0KeCYT90jY/Q0lTPW0Kz0sUu9559SqyQlaOR1DIBSgtFv/ZBRUoV0jTbOq6FEKNXSnx7aW6riPH\nNjD+A+iEVEh4MkeZHTlOndV5SMfvPb43b8fQ/A/fm7djaEcK9U0QUCpk0Y1XrhERUfecwtPWkhB5\nWE8PGWqRECFhF2qhXRwTjlPOQKhSlFmiGBgniZFjS+ESsqEaAqMx9u/4HwtTk0jUUaZQc11AHNnI\nMpR+UypZiZ2WCl+OpppPEASuQaNu4zg9LMSYQYFL6FpzI8EjiwHIXocRSGkLEWXx5ASul2Ml6orB\nln4uUwXbgfbUMmUIGjolIFIlIEfk2alOh0o3VYPCnqSnz0FPHsv+ul7jPUHZKDHegPbXW0Pe5+5Q\n4fi8TAVCYOJKN27Inh5QyeHnLQr1uZtI5mUBDTmpQv0HPt8WNPmcDJmYTOB5aMFUIJXmqDEmrUi7\n9BzOZw+1AmTcsB13IA9Kecj22PV2j/Vtb968/ViY/+F783YM7WihPhEZ0cLa2OIY7rircK6XC1yE\nGDVBbDR07Kx5ELZbqF8vphq7tlLEgNJc7n2H+QDZtsbfkxmzqsk8Mt4Mv+wMYu7CVA9GCtVLmJoU\ndRNKFPXk640BSqLue+K65tCDhuh0BIU/DlbmQ4XTVljuINJrNBAJsE6nfk/HarrG+Qirr32nXnfj\nZe1cMydprM/+/Kfqdc3Ty3LCCmNtBlOOmXQlgmKrfMBpwOMtjeOPJjqGEylG2RroWI9KaSYKtegl\n6CkUcp+HE439N5sitonTRYnyFBCdCaCrjptKpMC2u3lTBVOGAO5QUyJGAUDw/XD/gW1CEPiMJIKC\n+7Gu+xGkIm+ChsJICrhimLZGsQjDumkAHc68x/fm7RjakctrT0SRZCRedQc87aJ0ron60PGlwhwr\nKVYBgscJZlYzyPLaV3LKxTexeCOQ913aVo+et5REmW3zebQWlnUbIdAskCiZKLdMc+je0tC8A1dy\niVLYkcRgMZsshRwDRzg+LBEL+6INoafdhpTjLs5DDNu1Bwcy0mB3GNn/4JZmHV77f1ltJ4duNDOQ\nGH9pg9fHEx3f8x9nlDbcBgHOHUhSEO9lDrR44eUZXOMOjOu+kLNvrYJyjpTyFlNFMJOpEnmudTeW\n2KYSD48hTk9jiZUbfa4M5AakgsT+//auJTauqwx//52Hx56xY7smiZsE0oqqJeLVqqKtygIVEKVC\nsGEBQiwQ7JAoBQlasahYIiEeC4SEqFggBIhSQZUFr9INmwJtgT4cN0mTOHadOHH8GHvecw+LIFiB\nbgAADLNJREFU85/5PzeJ7KTO2NM5n2R5fOf63nPuufee//yP7yOV8s5DklIJbI7up059GM3oifZx\nbcUsHUai1mRSIItW76PVdbuXF1etjzW14rKsLy5afq1zvdvinB9n/IiIPkR88CMi+hDdTdlNBIkS\nCeY1/vvGBTOFDqpSy1DRTK+UxBY7jr6UOOlDEU6VSD4c8ZLn/XnYuSdqkmXJ6VMYMYaeuppnKRXx\nhHyCNpnYNa31b9PSY7BgcfPgdEvJxM5ppYewQ48cfcaTTt0JRTpkxpWpHa+d9qb+SMGuZUkLuUsj\ndi0LJYvjD97kCTWF8gmyujyY2G+OuoSudabpnYeh1h8A1s/5a3DxnF3/hTlit1n3+1YplTaEqavs\nDCOC1cDMc65u17KR8+0YZoZNuh6hXqdO5nhFHV6Fuv1PO9GDi+2XZU9qcPjyfaeOY0cO1Sb9z/KK\nz3VYoyVmeck7MBNik1petPspE5SbqB4/o1Lgy8u2/F0i1p6O+hI7aUN3sPH3ZogzfkREH6K7M76k\nQE6dQOqsefV144l7X/U9AIABCtkkFAZKNQSV0vfQjLuE3oL5ks1Yqb64U+JdE83IS1N7qzfL9pZt\n6/HbRLuMVJ1LVBJZ0SyxAZpJg5YfAJSVKjshy2JYy0brJNvNTqOqhvsalFGXdt7qpP5CIZ//zvjZ\nZU/R2rt/1J9zr7O25Upm1WSGfDvHDlvBzV2f8Rl35bMWwls7PdP5/P57DgMARg4Zv2E746/r1OvT\nnW3Ty9a2iqrilGnGbygP3TrNT/W8fQ5W0aW2jU9myF/LkWHbL6Wq6pBI16DsuoqqEQ00SG47THU0\nYw8UiONRx75MBTkVtexSli6nOXPhklf8KS9bOLWglkOpZAVCS0TpvXBeQ7DDlrEY3JaXls1yWKuY\no6+t16tNmX2dkGYsy42IiNgM8cGPiOhDbMnUF5FHAHwFPgD7EoAvAZgE8Bt4Zp7nAXzROde46kHg\nTfTKBR83rla82XNswcgcVy55s6a0z2LhILNegllDsdpsPhSbUFyWHGOZ7OXFKG1VY2mTNHbaNJMq\n6WRq0fJAA7tVUkap6/f7iF67OGFmcFA82btCmX1tb59epFVEixxJNaXVblF73WUfgDp5/14674+/\n31YZaLZVcpmyEycm6JhKa+6oCCS77rcNU5w4N2zLptol/32tOtfZ1lB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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1db6a8dbe0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 10110... Discriminator Loss: 1.4391... Generator Loss: 0.9607\n",
"Epoch 1/1-Step 10120... Discriminator Loss: 1.4613... Generator Loss: 0.8471\n",
"Epoch 1/1-Step 10130... Discriminator Loss: 1.4135... Generator Loss: 0.8948\n",
"Epoch 1/1-Step 10140... Discriminator Loss: 1.3844... Generator Loss: 0.8816\n",
"Epoch 1/1-Step 10150... Discriminator Loss: 1.3477... Generator Loss: 0.7196\n",
"Epoch 1/1-Step 10160... Discriminator Loss: 1.2777... Generator Loss: 0.9514\n",
"Epoch 1/1-Step 10170... Discriminator Loss: 1.3293... Generator Loss: 0.8516\n",
"Epoch 1/1-Step 10180... Discriminator Loss: 1.4020... Generator Loss: 0.5783\n",
"Epoch 1/1-Step 10190... Discriminator Loss: 1.2682... Generator Loss: 0.8802\n",
"Epoch 1/1-Step 10200... Discriminator Loss: 1.4533... Generator Loss: 0.8726\n"
]
},
{
"data": {
"image/png": 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PiOg/tdb28M1irbXGmPvmA2JBjauri/aGSEG3xGU0S4GIE0UbCvaKtlpNibFa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\nHkMIP/A9PIYQfuB7eAwh/gfsKN0k0OLlOQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dacda5080>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 10210... Discriminator Loss: 1.4546... Generator Loss: 1.1139\n",
"Epoch 1/1-Step 10220... Discriminator Loss: 1.6298... Generator Loss: 0.7489\n",
"Epoch 1/1-Step 10230... Discriminator Loss: 1.2910... Generator Loss: 0.8509\n",
"Epoch 1/1-Step 10240... Discriminator Loss: 1.4758... Generator Loss: 0.6658\n",
"Epoch 1/1-Step 10250... Discriminator Loss: 1.2535... Generator Loss: 0.8536\n",
"Epoch 1/1-Step 10260... Discriminator Loss: 1.4520... Generator Loss: 0.8541\n",
"Epoch 1/1-Step 10270... Discriminator Loss: 1.5810... Generator Loss: 0.7749\n",
"Epoch 1/1-Step 10280... Discriminator Loss: 1.2750... Generator Loss: 0.9727\n",
"Epoch 1/1-Step 10290... Discriminator Loss: 1.2823... Generator Loss: 0.9044\n",
"Epoch 1/1-Step 10300... Discriminator Loss: 1.2948... Generator Loss: 0.8789\n"
]
},
{
"data": {
"image/png": 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xczXvwJ0XyGyKbRNwGQ/kPk8GighG8gzNphirj88/HxPLqhszlX7rcTp9nf3n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\nLQ1ylomaJkmydBwx3uwa9RZRrUR6bqqaQxWeqCySlSF+Vl6joiNpxv1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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dac902390>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 10310... Discriminator Loss: 1.3948... Generator Loss: 0.7093\n",
"Epoch 1/1-Step 10320... Discriminator Loss: 1.2347... Generator Loss: 0.6795\n",
"Epoch 1/1-Step 10330... Discriminator Loss: 1.3978... Generator Loss: 0.8835\n",
"Epoch 1/1-Step 10340... Discriminator Loss: 1.3607... Generator Loss: 0.7265\n",
"Epoch 1/1-Step 10350... Discriminator Loss: 1.3404... Generator Loss: 0.7620\n",
"Epoch 1/1-Step 10360... Discriminator Loss: 1.3495... Generator Loss: 0.9613\n",
"Epoch 1/1-Step 10370... Discriminator Loss: 1.2985... Generator Loss: 0.8333\n",
"Epoch 1/1-Step 10380... Discriminator Loss: 1.3280... Generator Loss: 0.9454\n",
"Epoch 1/1-Step 10390... Discriminator Loss: 1.4848... Generator Loss: 0.8489\n",
"Epoch 1/1-Step 10400... Discriminator Loss: 1.3480... Generator Loss: 1.1267\n"
]
},
{
"data": {
"image/png": 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tuB/hGg9Bvaa+wKTchcta6KKxwnHwBslGJNMkwtBAuedB5zYREbW66tqsgzy0\nixzMBjqL9WUe6GZ6jV1QtCnK7I2uuZIgrgTruUGEYOpKm+MgOXIQxoXsBD52xBiQoqIeVFvVnIAy\npLSOJOpz3Nbrnci5y+CaG4z5uscw0/ZgDHriTjUghjd1qlF4HPh8ImpHxT29j0lJyFkgG8dAro5k\n/x64qw9Fjr0DbV0ggfuSp9Ab6VgVZPxd4Y3s43TnGWNi4h/9r1trf1uat6SKDn1YNR1v3rx9d9lJ\nWH1DRP+QiK5ba/97+MhX0/Hm7VNqJ4H6P0hEf5uIvmWMeVXa/jP6dqvp5JBZ/iIEzKOPwLcMkUs2\nZQjag5LYB4dMXq3vqHDjrfdUrPPy4xeIiOjq8yr2OLPKYo9xFVJSEcK7PgFssgLNbPAg1CdUijlm\nOwPCL0sZxo3gGvYPIdKwwfuU6xrlFTrFG2DQppB8Y4RcSsfat61NjuJrQxlmjGrb32USrN3Rc++K\n0OchpBZHFYjsk26MR5qsUhcykkDq2oA60FCWXQMgV60syzLCCDRYDrlzG733I+lbcXExbyNY2pSI\nz9lZ28jb2l0+ZxGXHiJoiWOeQpWfWBJpVhZ0WVSuuHHTebKOacRy/BCiHDt9uSdw3QaiMZ1Pfr+r\n4+a2hxMQRYUlxUiWWEOI1+i7fgjZeFI//klY/T+hhwv7+Go63rx9Cs2H7HrzdgbtdJN0jMlhtJW/\nR1JenM8dYFRQhxLTEUPDcajQbSShnIWSJq3MLWgyS09YURC8oUKNxThRxQbZevU0gOdCthHKa6lv\n9EJA+K7EFpgIPQYM47qbmlDTAp9xWOHtUgH865Lsk4KHA+H2VAp+Tvo6LtsS+juFlUkPEmkSSUyx\noCqTyNJmrqDjFxShokzKYzkdQGUaV5hyRwVQpwitZWzGkAjj/PMZtBHox8cyXgbGtd/ic0Z1vc/W\nAIyu8HjgSmwqiTQVWHrMGN5/p69j3ofClAtSJyAELQYj9xnrH2A4d+T0C+DzidyrNngMDiGfP5Xn\naQeWfB1JXhpBDj/GRwQuRByWwmOJhYh9ko43b94+zE65dh6RCyxybxx8Q+XJIZDUEoE2mhH9t3qm\nb+ieqNt0t/Q0Vag9Vi3zJZYKkNwhftAsgTcrRMLlpZYx3dYhFXTuvz/hyF2k20dmjThS7T7jarcd\naixCC0p0l/eEjIOqN04NJrUQYQbVgozTFUxAO07KaN/bULJrPtVxnVs8T0REFZDfrsk1jmH8R0A0\nkeWZLYPOtFZhAAAgAElEQVTqOwMhyw4hZfUezP4FiQIsFmAsHVGKZX5gooqkfQSz5b6LdQDNQyR+\nM3KRoNo2kLpzpYaOy1yTn6GuDj+NuvAMyv5DgIhOgzDItL8GquJM8udW94kC7mcBEFULZvzWDpOr\ne20dN1eCfQAzfgrp24kg4QCRqHF9kP/TyczP+N68nUHzP3xv3s6gnbICj81zwrOpS5aARA2BOGPw\nPY9BTrkk5YijhlbKqV/kSjvdVGHw/Y238u17N+7wPn39PL3MxyzNqtBhUtUlRSznCcva5kQ0Ayh2\nmSv0AMQjKH/txDYtoOWOlPh++S+v5W1dgPWuuExWUFhoU4an4wm8pwGKFgQClqtAYl1gifCbkB8x\ngDBVK1LQKSjJjCVUtI9hvGPdnogsdgpxCYcSEtwegtAnJOksSKHPEoylI6fSI8smiH8Yi497UxNu\n9sWPbyHE+8jSR5ZdfZjL7uzz8mAeFJuqUt46gvLgcarjdtDiaxz1dazqItaJqkgpLJGmIjQ6hnvS\nkeXMAJayAYiUDoVQ7MAyLxCB1V5fj92CkthDCaQYYSKOW2W4pSidzPyM783bGbRTltfOKHU1x1yy\nCrjHMpnpJ0Od7e7fuqX7y8xaBcIkFRdIDVxzzz3/2Xy7NcNTaKkAkXAyK6eQKDOCCCrHmGAhDCct\nbYBcyuvtoU8SFFVcstFoXa/hy7/6q0RE9KVr2lab1yixZJZn6tFAZ6m1d5iJikEGupzqGNSktptJ\ntTx1EPC4PHX1Qt42NwMIR2ZB8LxRIHXu0F00gSi+vrjA9rY0LWPjQOrGgVrOwooWQWlIskoFxm0o\nxTUsaMdNQUb6cI8/v3FTGdupzJwZzLRH8qoKPAbxvD4H44jvxdqOEpzni3zOEkQNFmvqIuySJOlA\nRGndXUNJVY/SiZ7cIQ8DaK8rEuN7XUUtra667naFAO3Bs25EFWlnT6MK70GJ74EkqY2wVLgkHTUk\natCcUGfbz/jevJ1B8z98b97OoJ0q1M8mE+pvM7nlJKzRL56KwkkKCR8RiGh2Ogx5U8i9N+KrHfeV\nEKw01We/KNVnYhBCDKWGdBBhJBaGSAnstFDeWtR/UoM55BJJBQKb056Sab33XiciorWv/vO87Y0N\njthrgi+8NqNQ89fpXyciore+eSNve4HY15tm6h9vgpTzxTkey0UgK0vCEs7PaBReHIEazJThZIwC\nkCUn5qhtU3hERlNe7iRAlM7H3PcSRNRVoHaek2kY9hWyDkVhpgclr/d2Fd6ur/MYdqAiT63JsRD9\njZt5WwbEWNpnGJ2U9T5ffoLr0m3u6z2ZCNNahIQaXJ5ZWZEksJysiBpSuQAS4PAY5G58IDUDiRUZ\nTzSSczjSnUoFHkN4bKnT5f8cQO28AfjxHamHUSMO2pcL3MfAQ31v3rw9zPwP35u3M2jmpEH9H4cV\n48hemmcY7iDQBKCMEZYXmckYkiVm6syuFgC29/O8ZwBAcEmHAifHKOHllJ8wXBj66eBSEXz25XLy\nQFtS5L7VgW2f9BXa9ToM2Sz4+ctS1PHiosLhpTldmuwM+dzbm8po70h4Z6uj0LYLgpcut7sEtQGm\ncr1DGF+EiM7lnMG4ufHACjYh1gSQz3Gs3RBiGGkBllCzcr+//4sv5G2lgPv+5iu6nNndUcbblTGf\nraon5uIqewq27qnnYgjxD0MZD3Rxl8TTUMF75sYKlnYRyshJrEMBEsWmMoY9GPPuWMfVLUksjIEb\nIUyymQAb76rhYHHrMNfN1za8f+4ZLsI9WZUQ5AvneJn3pTfWaK83/FC872d8b97OoJ0uuWdtLmxo\n5Z2IM7ETvAzhbYsT+UhUWgJ4X00yV59Ov4eVUeKQD1At6qWWBUVMwV89AqnngWxPQRWm2+d+9kH8\nsDjhmSRKcNbU6+lPeYbGGWUi5GC3px0uFBDBcN/2IenlQIixwQTTNXWfGVGimQNFob74xScYGRmh\n8KNEuoFw48hV0kH/OFY6ckk1kPvq0kLHQFxNYTbMRJp6vaVZMctN7kcWgIoQlAV38RV9iCrcFd9/\nu6VkLyKPUfZgWmpind8byFd5NgqQNFQEhNOScUPx1VRm6gk8Ix3QuO7I53ify3LMGkz5vfTB522M\nUFO+msLzP4Z+TOWeTQEnuGej1JFS3pg2/gF2Es29ojHmL40xr0klnf9K2i8bY75mjHnXGPObxpjk\nw47lzZu37w47CdQfEdGPWmtfIKIXiegnjTHfT0T/LRH9D9baJ4jogIh+/pPrpjdv3j5OO4nmniUi\nh69i+WeJ6EeJ6N+Q9l8jov+SiH7lg46VZZa6uSa7+CRBjj/Mv6f7pACvhkMpOAkw18HTKlR/KUEC\nRln8sctQhLJSdAkqCosOoUrKZpsh+g74U3sicDgFuOb8sjFAs2pZgU+QhyXrNU5kn4N9jVVIINRz\nc5+/u30IpbOFVMKKPBGQnpH4cGMg1VZnOQd9ZUkTmpYuafhuscrk4u0tJcveusUJTeubGi/QhUo6\nxl1n8OAyJSUdvxGUr+7KGL79ivrfh+f53Cng3AzmIHfLB7Bk6AoE3x3o8mByDKwtAbROp07lCRSd\nZLMNMQRQHyevYpOlD0JsTI7pY2HRfAtCvOXvKsRJFOGe3Za97sIz2M3cdcHzAksBF7aMcq9dKQLq\nrudjraRjjAlFYXebiL5MRDeJ6NDafBG8RlxW67h980o62Ylzh7x58/ZJ2onIPcvhdS8aY5pE9DtE\n9PRJT4CVdMIgsO6NFISuPhq4VaQNJeowEikvYQyfz4ie2vOXVHb5hUv6Drp0iaO3lpb0c6flNgCt\nu/2Wkml3JZ3z5o7WtLu2xtFft+7rDNmT2azV09kjLursXRGJbAtv9UjcmEcITEA1h5KGicgikQSh\nArilGpBG/H2fZbnwH//e5/W6H3+CiIiq85owE0IlGBc5iS6xww6PwdqWJrXcXdftvhBaE5hBJ6J/\neO2Oagi+/JU/zrf3d3i8epBeutvhMaiA6lFU0jEKJJ0ZSTenPpPC84Bu34IQj7NA4jbFvVkBpZ9Y\nfLktIDXbUKsuVT9n3ubmqzI4yZbgmDPSz1mI3JsR9DUPKAzdrVeE1H4DSNEbsr0FzwMiCyt9O1Lz\n0SUvfZKae9baQyL6ChH9ABE1jcljO88T0f2H7ujNm7fvKjsJq78gMz0ZY0pE9ONEdJ34BfCvydd8\nJR1v3j5FdhKov0JEv2aYWQqI6Lestf/UGHONiP6xMea/JqJvEpfZ+lDLExocTAsehG5HJIWByAuE\n3MI87ieXOAnliy88k7e9+JyuRBbOM6GVFKBophRGHENByRXYPicRclc6SlJdusjRc390TaPNrou6\nzwAyLQYT7XypzIRinIBUtijalOG6J7AUcH5xgusuiPoPkoBXL2lRzZ/6Gz9BRERPP/1k3lYsM7mH\nMtA41g6+lhJdMjTrPJbnly/mbZ979sFKLuMj/mg+0Oef1WVTgZRI/co/+z25Ll1S9DPx40OiSxjp\ntcUFiZ7DyjOu+CnEEOAysShJLzOQ/LQsS6MAdBVGAqfxwV9JkICTDYiYcw9tFZYW87AMaTqon2Df\nuK0Fy4i7XV3uZPL5EjyXw5ivewjaBCnsn1d4gvF30YJOneekgbgnYfVfJy6N/f72W0T0hZOdxps3\nb99N5kN2vXk7g3bKYpvq6XSw3uCrxzjWEnT1saqOwJoImNKnL7N+/Gc+ezVvO/+kbiclhrJY7zyV\nq46geksI6wtXbz4EFj1yMA76OxVG/OZd5TUNuBycr70EobJWcr9LABUR8g4ETpfAO1CW2gIFOM73\nvqTyYpeeYohfrCjEDgUSGzgPsuDGFS8NQDxUfM4JVh2CZZULXR1NMMyXxyAAlvuLL2lCzvVvfoOI\niNa3tKipizvIMj1OOgT4Kt6DEsQLuDwnTDQqAEtel/iJmTIIa4oXqANh1qk8B49BvMUPntOEqdUm\nj3UCcDoVwdcMGHgDsm3BxBVHBTZeIHoIz9gWjNtNiQvZADHZA3m+e6jlhl6t8MF52gmAugQrL7bp\nzZu3h9opi21y9B6Rvh3Rn+1mf4PVaOAVP5W37DxE4T37BJNcKxcv523FuirRBHIsi8okLnEFJZ3x\nPM5vC/xOVWaNczU991Pnl4iIqAUxAC1QmnGzPyIUF82XQHdAfZvGco1O0pmIcp9yESISrzzxRL5d\nFDFIgtmbxL+OM34Atd0CJx4a6Mzn5MKRIMJkFSdUk4VQH9DwuJRgBry0qtGCT15h+fOtLfXzu7Iv\npaZWuOm0lRwkQT0pKAFlUtUIo/XKIK9dFsSRwLOz1+F70YdYhcsy0/+1p8/nbc8+pWRmuczjEkLy\nWCr7ZyA7ToAgrbRPITZgIuniSz2NfKzu6jXaPe7bDpS8dok7Axh/TNF1abuITvH38yjmZ3xv3s6g\n+R++N29n0E6d3HNmHSSz6KuVDYDdE4BciawFnjmnUP6qQP0yhLAGSHHk0BATOngblxToE06ERCtC\niKsrXFmAMthLJYaFS7D0GEMOuetHBP5dh+vRd28h7cKRbqjW4kjE1RWF0LNQCjwUmBtAkc/A+buP\naP4/CAtNcCRogtuOQH0kV+WvxaULb4dw7Jmy9uPzzz1FRESvfuPlvM3VMIhAhQjjLKY9/hzDlt14\n4HligLxOBzMDAm0iy48VIPK+IKHdTz2jcRC1mi45YmERA1RsckssUARCEjffRE7OXUtfof78nqoM\nrW6wPsG5DW37wz3+7rcgBLwzRTpTyofjqtWVdjim7PwHmZ/xvXk7g3a6M74heCW5Wl8PSpDgWwuj\nxKoic/w9n3k8b5uTyD10+xFEiVmZoY+Ut3ZuJGD0zBESRdxaBUiUkcozBtRcCpaP0ywpqXYI6cGO\nlMM6bc6XGGD0G6SfFqXiz3AC6bBSkrlY0ZmpiAhHEEoAZaPNcTM+mM3/wsyVb2Dbg9NYcIQw5O0I\n3HmlUPe/epkTppYWNVnozg7rCU5HOgZRSWdTEjeohX70xZVWBKL0CIBx9xLYsLKgkfMNHavVZVfL\nT1EAkmVGEKI9kvLrEsvg3Oj+da7RGPvG2wGUKjJwf1bLfL0/BFWUCvc5Kax9UysVXTtQstglEMWo\nF+j68Ygcn5/xvXk7g+Z/+N68nUE7dXLPIRJjjv5FOyp7rdvLoirz1FOab18sCqSCaigGRDKdVogF\nP3MmPliLQp/QkVCgZoLKOhWGZsUSDJlUZUnAKV8EIs+pxkzA/2vHR8uEE0EOOBGVinyNWCp5JMuV\nUkOhfqkEUXqyNAmCB0k3lGs5yvMFD7SpUtARtU3YX0hE2MktsVCFKIbPGxXu22MXV/O29QPO0Xdl\n0YmIIkgmykVBAW4PZdxQ7huFTV1y0wg+d3cqBIheEmFSjKgL4Z5GIn9OUB48lftoxw+OBZHGiGAU\npA3dUhagPjyjiSQVzS808rYvPs5jVFlV8vp/+hfX8+1bhwz7h5B0VBLR0Hyp5SvpePPm7WHmf/je\nvJ1B+4758XMIiX5ih2BAbggh5GOLXJWlAZDXsblY090e0e5ygpdYU1ygG2THmFB99oFsBwhznd56\nrBDbFVbBQWyU1R/thCbbLc31LwrEnIJoZGahToDEAaSQD+6SY5oNhYVxguG5rgILiFfK8gBZ+RCS\nfAInAgnLAwfxcQmE5uIeEG5bOaaFOaQD2gZbG/eIiKheguSZktw/cFHjUqsoTHgAyTVjiXuYwpKN\noEJRW4RYLWR9SUkFGsHSJRXmfWNDC2lW9jWUtrnMXqJSXftrqrxPBiKi2RjCliXBKIN7Opbl2xGZ\nMiwQK899EOtSoDjDDP9LP6QhxP9WoM/Tr3yZE552uzAucp6y3IcTIn0/43vzdhbtVGd8dOPnkUb2\nwQgofGmhJPH8DBNsE0i62H2PZxQTaBJIZVGj2kpNJkpC8DM79ik94trX/wxarLazsQX+1LdZHvra\nzbt5260NlqEeApow0N9Y/LbTI296mR1Q4QVe09OJE9uEtE9BPVVIEMJByoQEw1LUB3tMoO3taw2+\nMcxS1RrPLvMrmqxSk/LiWK8Q74+bobGizPYmi3F+8+t/kbe999a1fLsnMzFlUBa8zH71Edasg/iI\nSMi4DNCgS+4awbghWOlPnFy79q0hx2nWNUagPM/PQ2dXK/u8/fZavr3/MissrYKSz9WnOPV7fkV9\n7hEQuuOBSFxvK9K5v8U++Q2IwmvDUE5cQhSgp5ooNl18Qmf8p57QFPMfucvP4x+/rc+gEZ9+UdK4\ng+Bkc/mJZ3yR2P6mMeafyv99JR1v3j6l9ihQ/xeJRTad+Uo63rx9Su1EUN8Yc56I/hYR/TdE9B8Z\nxumPXElHjkVE6gsOjhGAjACulBB2ylf7kOOcCZze3FIVnOGNt/Ptixc5GeOxpxQyRbLPZAyVcg6V\n7OnkpJzq6rukjLlZLWk9FFLu9rZq7e9j36S/lQYo+Qh8zSLwUUO5lILo3Xf6Clk1WQi1C4C0c6Qc\nsGWhhBMjhN7dVdh/48ZbREQ0O6ehtM88/xIRES0sqc89AsJw3OWEkgM4zs13eC4Yt3QMrlzUBJjU\nMny9s6cE2s6Ix21jT8cXCdnClK93PIT4B1lyTGBZdUSUNeVjTqFtRnzlU9hnKvnvzXldDj7dVNJ0\nc4eXAFv3dOn41nt8vc9FCmpnl+pwTO7boK33Pi7y8uLcnJ5nLlaibixLzxSe9YMDHt+37+mzvDin\nS77HF/i+3NrQcetlfH9dxajgY/bj/49E9J+Q8rBz9G1U0jmp2L83b94+WfvQGd8Y868Q0ba19hvG\nmB951BO8v5JOnvAQuFRSVNtxEsFYU023XfTWYKxvzuo8vwXr5ZW8LW0pKXcgs+kiRDtVi0wuTSag\nnHOgxEwmUs/jVJM71oToWz8AskYiuYJISbdSSd+4A0kRjSBRY9KfyLlRIhkqvYhbJoGEj5qQehG0\nYf26dof7fudNXYmt32XSbYwzdqb71Gd43JKiznZduZ65UMcXk5s6UmHocENnfJPyWGVWia+tfR2j\njQOWIG9Die9ZSZpxNQHZdIyc/DlBxJ2WoH7IjCYICBVpClLZZv1QSc9X3rhNRETlghJ+FojfqMbt\nl567krdNJJ22C4TrHKQRh5HTHYQEIfm8H+p1DWEM0im3V+t6nKUrknwWAaoB2fGyyKu/efNO3taz\njE7jqjwjx+jyHWcngfo/SEQ/ZYz5l4moSER1Ivr7JJV0ZNb3lXS8efsU2Ye+Hqy1/6m19ry19hIR\n/SwR/aG19t8kX0nHm7dPrX0UP/4v0SNX0rF5hF0gsBORiUP9yPeVIEJtc5ch7e/+/p/q51UmWSoL\nqk6zvKqE1fNX2SdqrV6qU7SZgNBhp6s+7q504NquqqN89Qb78aewZOh2mbCykHxRryh0i2SZUi0q\n3JtKNNohVEupgrBmKhF3McDcpshrNyEHP4TlQ6/H53n91rt529oak21vv6dAzAJR+uTFS0RE9Nwz\nT+VtqwLxYyhmmUAknMupuXNXy2h/S4iobwL8xOo9rV0mTedndUlx4SKfs17U68YS34O2RCLCMq/g\nohNhGTiB5CZXr7ICz0tVfO0bQLi+8+Z7RKTRgURHBS9drMTffEah/oIMR6UASxMdIjKSKDOE/t7b\nYpLwekfv85+u6bj1JRpzFrQaPrvMz/BnL+uy9amrl/Ltc/Mc8XgJ4hLu9/h5KUp+f3RCP/4j/fCt\ntV8loq/Ktq+k483bp9R8yK43b2fQvmP5+C65BsUcHQFdBtg3B5VRStKObysHRYuQZFMKFT7NVBli\nGhDB7B8yQz9qKZTPJurTrwhcf3xhMW/7vme5KOfeoe6z32Y4ZwIIE4Ww2vYhew3KsJ4ZyzKiCE5o\nDEsuTkU/fgpFM4V1nqmXYR+9xkKDIeL3f+GH87Z7qwwrC9U39LqqtXx7eZGv7fJjGh66vMx1AlBG\nC8faocgjlYye5AKlpRn1/bcONRx2Q6TIKlDlx0mR1SDmNsrUz+8gfgHGyNWWTzBBCEOhBfYXYZm4\nKNoIBRgrEkmsGozFPiTXVEXrvwoMfafNXoFL8xrDEcEyJY352UJ/g6u+0wz13j4zp/v3ZcnSKOiS\nI5FLmw7UCxGBlkNJvvvEnCapTVJexrginJhy9UHmZ3xv3s6gnfqM7/ys6pWFRAx501dAxebzl5So\n+9Evfh8RETWqOhMHJX5zhw31I9dmNKqqLqRH546Wt+5ty4wPaZ8BAcFTkpLLC3qc1RWuVbe7d5i3\n9SXyrwSpuCgJ/d47fM69jka1DUREM57Xt/Yghfe0XNvgPogsSuQZkm4o7xyLgsylp5WQqs/wuKxe\nBBluQEW1Bs8+8wvLeVtBSEZUMwog6q0iKkTLK7pPXOdxP39Zv9cbKZk2tRwN2Aai9J07IraZKfGV\nQOxA0SXpFCL4nOeoGjwboyOxEHI+IF/rgiiOJNwI2ZtAerWB1NiCpHwHU0UBnR0+9yIQyDGULE/l\nPHMzSr6Wxa9+Ae7t8+GDwpuVhj5jRSnXHUOiURnmcAdwlmuKVlqCDvbld3TSmdzP+N68nUHzP3xv\n3s6gnXI+vsnFGV3Ja4T6TuFlGfyUP/TZS/n2009dICKipKSw3oiaiykr/IlBoz0TX/vkQAmn4T4n\nOQwgP92A/9dkTKg0ytq3RdG0v7iq/minnDMBYcbDfV0K9ISY7EIidiiJI6WmQs3tjkLrmYt8jb2R\nQmMXwhzBWKHuuxMHjYEILV7gPPulVYXl+J4PJWEEQ0IDWT6gVgCKlBYlXzwuQHnqOo/bIur8A2Fl\nperOO2+8k7e98eYtOTcQlECC9YX4BX4th/8oBHpUY9+pA+k+bvN8TZcRl5f5/iVlfUYCFPqUQp3D\nVi9vi8oSjwHHCUE1KRSCuQQqQ6WGwH8YF+yclf0juG4nkGoMkJEQYzCW2I8yBLo0JYFrGjrRWS+2\n6c2bt4fY6c74BqLy7NFy2UREFXEjPQfywpfPKZFXjmSWSoCYKfEbNYC3LSb+DHrsUmvtrOdt/T5H\nAPYH+jaNK4oYQqnwEgNRVJAkEpMAmpC/Y5h9eyDrE0ydjDe4+4QgG0FKcAEqz9QbfB0vPKdpxK9I\n8k0XE4mg+o7zswUwU+QooHDEIUfvN3tEAUlqs8E1ZJDW62b66VDbhqInWK2qq6pcUVREMqMVijpu\nQ6mNV5tTsqyawGwoM3kLZnfnzutCYk8RZreyhO4VsAai/F0AF6tz48U1qNxjFDmMJcqvB6XPyxIB\nmCDCgISdUBSdMIXZyuycAPoMEvi5SYqvgXqHzrWNalAZ1Gq0I35mAtCKjIR8LQhq8eSeN2/eHmr+\nh+/N2xm0U/bjW4oEhjslmhSgZl2qmKwuQIQU+NftkH2WQUk/zwsW4mkAhg322Gc/GCJZw/BrAJF7\naQLllR10ByiZnwdy2kl8vVkPogJBSrsl5aAnQJb1BaoedtRPb8BXOyNSzl/4/PfmbWsbnFu/s6M6\nA50DVWGJXFHIRJcUgfMZQ3Qc6qA4BR8DSThTgfXjjhKhKN7oEoMyiKjbEjHPSlMJ12pdfdNGiLrx\noUbmTWTcYojmK0DsQCgkZTpQkrAmcxQSfuaYgp8NSHqZkeMkuIwYyb0CPzySmb11HuP+vkL9uQsc\nCwErSCLYx8mNJ1Cccyw5/NlAYxpCiNB0ylNBhISfk5zX5zcF4ng65GONe70HPo+F5PPy2t68eXuo\n+R++N29n0E6/ko68auJjijbGLqkC2M8hJMWMi7wdJMrARw7iwJIAoVtH2NmoCvBT9ult6LH7UCUl\n7jIMnwMfdkngv0mhiknfMcB6nF3Qa98R2D+a6DJiINr3fUi+iEGE0fl1l5bVm/Hi5zhcuNNXiLe9\nq7A/Mbz0mcaQ3OHYYoD6WC0oqfB4WAgP7R9wYs/Gu9/K21LQ0C9KWPTGrgqTFmR5NoRaB+lAYb1D\nrbt3VbwyChniV5sajj0XQR0B0fePIKS33eZxXyjr9ZSBjY/E49Cs6DXGEorb7cNxtnmJlEDd+X5b\nx/VAaipUQBIrllDmbKiwfTzQez465P1D0GJwT+C0C0s68NmH2cPn3GwEVZZGOi4TWVKOQV/AFSh1\n9TwNLkc+wPyM783bGbSTymvfJqIO8Ytsaq39HmPMLBH9JhFdIqLbRPQz1tqDhx2Dj6Mu05qo0mA1\nFefkHwEL1ero27hc4bexBZ+w05+MLUTUwUzQl3TN1hhEMOUtvNmCWmgZRPEJ8bMMb9uSRPnZqb5t\nuzLT7wLpdu/+Rr69I3LJFsQTRyLdjfXpCqDm0pcx6IH//KmnOSX4W6/rTLy+rYKXlQLvU4EZJZIx\nCCGxp1BTAs75uzHqcJQTXzpzbaypss7tb/D597ratxc//yIREaUg7T3s62MwafN3793WajUTSVxp\n1PSeNSZKio4kjiKEUIWa+MPnQKr8QkkTnTIplx4NdactmSELO6DaMxJBV0BzvZGOgRO/rBdQ/HMs\n54A22H8oyI/geXEJNelUxyoz+iwXJKIRYvTyaTgDcnoK+0+n3E8INMxr5vUyFC79cHuUGf+vWWtf\ntNZ+j/z/l4noD6y1TxLRH8j/vXnz9imwjwL1f5q4kAbJ33/1o3fHmzdvp2EnJfcsEf2+4UyIXxWt\n/CVrrcO1m0S0dJKDOLHNGUGTPWAjSuIo7UMFld0W6KSXmKirgg/WqfWUIJwygLDaGVdAE/Zpi3+9\nWFO/KxapjMW3OhjpUqDd4XNbIA4PJfFnE6D+zr7C3EyuNQR/syMe0yNFM3XT+cq39pVAm21yrZJy\nUQnKu+sK9RuSPNIADFiUkNAi5oiUAA4KWRnAyaOQx62Q6E7NZU3yuSChuOdj7ce8C7u1ugSaDBW2\nb99lLYKb93QJRIuciHR5RUUlm3sQRyFLl0JDlxwDUSaqlHUsF+t6vX0Je+739Bqvt7hPmy2d3+a2\nhJSD526xoc/GU/Oi+Q/+93HbhcUCOQcBBTUJMR/19BqmUs9hCiKunRbEMkgNiQS09l0CFwGhOoZl\niOJza3wAACAASURBVIP6sOKgvhDHY9kng3LxH2Qn/eH/kLX2vjFmkYi+bIx5Cz+01lpjjucTjTG/\nQES/QHRUPdebN2/fOTvRD99ae1/+bhtjfodYXXfLGLNird0wxqwQ0fZD9s0r6cShsamopjQlUqtZ\ngYoxGW+PQHp6E1JWk7Kk2MI0ZmuidwaqL8CVUVHSbecbGu03U2cUgGWjRxN4wwuxNgJiZU9cPgYr\ny4iCT3es3xvDG9cFamVHtOEkcQcITFREdgkuWPVmKNF+IZCWB7uKLA7Pcd9NSc/tpKdT1OZDomjM\n+1hwNYbiqmxARF25oNtL4n1rg7vpsM8zaEqgDaeXQ+/dYTfeOrg8v/8HfpSIiJ64qopBwduazjyZ\n5XMGcL37mdQ7fBP08QId11hm/AmM/6H0cxsTwcS92Szqo1+q6RPTlbLeDZilUlfnzoAbrabEoutl\nAaMcpW+mqqPRben+HXHJhfDslCVxKIRJezIGd2DG9yfKdKx7h3ycjuXxwaS3D7IPXeMbYyrGmJrb\nJqK/QURvENHvEhfSIPIFNbx5+1TZSWb8JSL6HalyGxHR/2Wt/ZIx5mUi+i1jzM8T0R0i+plPrpve\nvHn7OO1Df/hSOOOFY9r3iOjHHuVk1hI5LqMkSPfpZRCqnHJEXhQrPBoATN4f8fakp6RbJEuHAJRK\nRh1NsDBCslhFiDQVYqV9oPCz21f4NBGSrEfgg5UEmGZT+5bK94ZQ0WUApN1EfNsx0B+u+OMUi1kC\nPKs3OWKv2tRxyYSISyHKbv8ACn52Ge6VQBnHSJ52kimMHcJyqCWlrvtQ8rq3yUTcBMjVAeS/9ybc\n9+2RXmMrZSh65Ypyu3Nl1VPY2GOibwIy6i++9DkiImrUgXmExJ7pPK8pBqQkYdTj6+m0QR1oTrdn\ny/woH4DKTSRrrX0g0CZOZQiWWvdRl2GXr6cwrz+NzPL+NoXl5ETPk4lugwWC2YHpEfzE9lr6EKay\n1K2BLkAiXTrix4elmJE8/eG+Pv+3t3mMtoS8nnxcUN+bN29/9cz/8L15O4P2HdDV57+FKuOay0sK\nEfcHDP0Op5qEM7Qa5hgKnB/3lOlsjLmtCJVn+hvqAw/Erzszr5VenMhjANB50lH4dH+Pfc7tSGHW\npWdZj71eU536vTZD4kMQZuxA8k0gkk0xaMG7iNIxOD/RC1GT4pJJCRKVJIHIQCzCYVf7uyvnn52H\n5CWBtG2oyrK+rvr+JPJZxalC8DCVMOpUlxn7Ld3nQOrM391RBj5r8lg+8fTlvG00Vfh6b0sSWCC2\n4sIT7McPYP3VW1dptNa794iI6J1IIfpawPvH+MSWQX9ePD1Qtp4mEhfSs3qcniwNx0idg55CW2D/\n48t6n+eef5KIiBrnzuVtGCvinp3hATwHazxGd27dzdu2QPD1wgrf5ygCaS4J47UQRj080Pvck2XI\nN++qR+dr8ryVmhKCnXmo782bt4fYqc74QUhUqjkpaH7TXb+tn/dLPAOM2jqjRCV9W/cr/PlFKCs9\nlrdjsaJ+1cpFJY32r3Pp6C4kz5DEC4whOisGAmheBDEvrJ7XNkEmgwMlw25f5zime+/pbDWG9NRG\nk2foOohgbmSCArBuHExjTanJZkDlZpLxTJKSvv37QyX3dra4TxeXQAWnxucsQIRZChIyiciRBxpM\nRndvcELOFIi4KfSzGPEsVawo+XTxSZ4FZ0GuemNNy3Xf3Oby4jUQ4yxF3I/RgSKz/fV7+fZbN24T\nEdGfABk5lAjC2rySgAFUw7m3y8fcm2jf+2Oe/XogmjoU8hW4XqJMP9+SGotfeu123jYQAu25y1rm\nurGoSNXK8zQBEdK+lMke93SAEUUsnefriSGBKxTCr7uvpOb1d/S5/cstvudfgzRjkhiDz8ROmtvL\na3vz5u0h5n/43rydQTtVqD8Jlmit/LeJiOg3bv8pERFdgTzi3pjhXhQqEJutK9S8OM9Q8wJo7QcC\nnadA+CWQT16XyjeTDiRICOFVLIC6DBRtLMvrMFBUSWmXI5IPAZK29xjOBZCLjgk3hx2GjRiqORAf\neAPCREsQ1ml74veGst7U5XiDBgDU1aYubVLZZ3dNlxz1ZU6eaTZ0/GJIMnEu/+EQKvYQLxlS8N1j\nccmowEuo1bpC4znisWy/cy1vu3lNq+a4JVQT7uMrf/AV7gPEW9z9i5fz7bV97tM2CFGWJFbiy8Wf\nzdvevvNqvn2hx/tsdnX50JUxHIPP3jqRUfD3VyHrpVnjz8sQ0rs2FtLuzq28rXhfdQpcbEazqmOV\nicLU3Hltqy9rfANV+PPxUO9pX57htR29J6939dm5Ln58C8vAlSr3vT4rxWPv674fZH7G9+btDJrB\nZJFP2j77mefs7/2T3yQiooLUYQtDnQmsvKEPNnXmuv0tVZ157eWvExHRn339lbzt3Q1OAmlByesh\nRM+5stVTSN5wBEh4RD77GFIE02UlASOCRIyi6M0tL0LlGBjOlrjZMBmoKGTbuVmFEwuzuv8P/+RP\nEBFRAhVwXBWaApRzLkGp5PlldlViyWsnMX64rVp3/bbOBo5QnIIS0FiSeKYo6QxahIEI6KEb1FXa\nGcP3+lCF5kBkwFttJaz6jgCFWdfE+hy4suBlcF9Wi3y9d+5BmfID3d6RSMZ90M/riow3El4usq0H\nbtc+RMc5d1iWPfi84POAv5o8JRZIwuyY3xU62mx+BKgGJMhjBSpJnbuo25E8OxFEij5zie/58iKj\n4P/uf/3/6O767ocyfH7G9+btDJr/4XvzdgbtdP34JqCywFYjsAgLAGZSIWT4jvqBb/3RH+fb33iV\nyZz3tjX1fywwDepOHiHbXOWeAiRQONiOcAzLCxcEdgZY1lg+xqo4kfhgQwOFDbEfLicbOjeU/u53\nFfpa+Hwi7QZ8z0aSQ7DyTAWqCdWkvZiAvLP4wPG6I8ghT0ThM4WijEaWXRiLsAfLrq6oCyWBjm+h\nwI9QBJFwmJtfMFI8MgB1GlHRnBIk3KBYpAhZQj1JylJJnFpXv/bapvrV74mU+WCKxKTcR4hFaEmO\nfm8Mwphw09xVpMdAdVwO4vPilpN48/PlJC4hYZ9IxnoC+0zkXhyAdsHcWJd3c1W+vwc7+uys7/Mx\nnZpUCgVcP8j8jO/N2xk0/8P35u0M2qlCfWNMrvc+lYolFmScxmvvERHRvS/987zt5b/4Wr59U/ZJ\ngaFPxF+KsBBfZw74IHALxT+MaG6KkEsOXwSmuVqWgpFwpKnAyi4kecTA+rtuZsDcOuK329frDkKQ\nUmqxL3cCYZmFWQ7FbUC4ahOgfkHEnyyIg2ayHVnwhUPdeldlJgJR/yAQeSsIXy5AfENbtO2HLfWV\nh1LBKAWoH4HoZyzSZ+4vkd6eFLwdE4gdcPXh0xjqxAvLfuOuhky/u6dJLyP5vA5Lm4I8a11YznRl\nGTMC1j7Dh0NuFUJ5V2AUlwT47MTyXRM86CVKIBYhQbFOebaGcPKeSM5123ofd9bUQ1KXuglYP2E4\n4GvrSzzAcd6E48zP+N68nUE7aSWdJhH9b0T0GeLJ8+8S0dv0iJV0yNpc1nl4yG9rAz7f1ruc9PLa\n9et529uH6qstl3h2urqkyQ6OXJqioCVsu7rKUyA9EqnNVy7qbBdi4o+89kdAsLmotxDe4O0e930A\nfu8+zORW3twWZjbXtxhezFhVp9PlYy0taN+as6xIMwd++gRm1UzKhxNG5kkFneKcRjlGBUgBFcIr\nADFON41FIAAZhfp5pcwEUh9IxnGX78+wp/dxAuSg85HHKRKufI0hIKHxGOMwePYvw6xcka/uQaQb\nJto05dm4AKWqh0Lg7bZBsFKOU4f6jBibEUlUXAHQXlnCHKsFSKYqK+m2IEldy4DIViUhZ3ZBn9UE\nKkB1ZTw24Xr+/DpHBr762k29RngGp4bPv7CgxylJ5J4TDMWy5h9kJ53x/z4Rfcla+zSxDNd18pV0\nvHn71NpJVHYbRPQvEdE/JCKy1o6ttYfkK+l48/aptZNA/ctEtENE/7sx5gUi+gYR/SJ9G5V0iIgo\nlaKQkogRQqjt3h4n0ry+r37MHpAsz53n/PjHzivkrRUciQJkDAhZOld8FaBZtcr+7EpNoVllTks2\nR1JCug+E0/omxw4ctFHkkrc7I00A2m3rdnqP98m6GkbqQkIR+mIp6n0J851fUsgaidZABAUwUyDy\nXM59AT6PBFYGoV43+rONcZlID8ah4vciWD7EbhcoHDqSYqMGCMExFJx0fUoS/TyQWAgDpbFTKGo6\nlY6gL92FPU8skHcQ0rs035Tz6bl3e7ycxFDZJYHlK5BQUyvocqYkxTcbUG773BIf+8oFrfyzsKRL\nqKbUbKjUgXCVZREmA6GP3SH4YaDnee6FHyAiot+aU3L7z/5cw9PXD/mel2Y0XHtWzh3LMsScsGrN\nSaB+RESfJ6JfsdZ+joh69D5Yb5nufGglHWPM140xX9/b3z/uK968eTtlO8mMv0ZEa9Za51f7v4l/\n+I9cSefF556zI0mJHUhCTgUIky2pLXYXlFfKkLJ68Qono8zVlIirJvzuwrpmSRFqyIkbqQrknSOp\nKnV1bxUbSsLEok6TgY9wbpaTJbYganBNotp2WjoLJSXt71BkwCdAltkx9zdBhZ0xJoTw57MLOqPU\nmuzOC2AfA8SXm13QNedISIw2Q3GWXOHHwLs/d42CtDS4x4w4R+0EZLHHPK7pEMYgRhfWg2RZ7FJj\n9Sg0BXQ1ECWbcQKS6ZlIXEN1nWZZZ+05iUpsHSriaotMeA0Ujj5/gZHdMpCAVUiIWpjl41y6rOpL\nixdYI7A2q6gwKUK6sqAMdAGSS/YBJGSwrp2gmcQqMbxc5rH861/4nrxt4979fHt9l/UP72/oBDq/\nwOg0zJHdxzTjW2s3ieieMeaqNP0YEV0jX0nHm7dPrZ00gOffJ6JfN8YkRHSLiP5t4peGr6Tjzdun\n0E5aNPNVIvqeYz56pEo6aZpS91BIPVE4mULVlnc3GDq3AB5dWVHIW6kKURRDQo0QSQnA3ALA+qK0\nY5uDxoVKHfYBMk22LZBcNYHBU8iF7gvBNoRilGasQ9qoM2zc2FSJaiMQLwbSZwL0UyjnLIBOdCJw\nGxM+ENbnYp2Y6OKyioAMM8GDsN7ANSrsx2QU2EegdwTJQLH0I4J4gBCr2bj4h2MSXCwsV1IgO13h\nxwzLRUv0XR0KpjZgKeBa13u6THQloy/OKul2eYXhei3R/iw0FLavPMbioQvnVI69KEvCEK47ABLR\nyDUeFzRnYdmEH2dyr9IUk4X4tzBX0fNcXNbnf1e0DcYD9f3vCyF++ZyMvxfb9ObN28PsdAtqWEup\nkDQm4DddBySWb94XIgPccTOzmkpK4joKoQRF6AgpdEFBLHMsEW4xqNfE4gZC91gUJbAt+8NxXKy4\nIwaJiJoNJt1aHXU/TiAKzxGC1bLGl3cl5XIC0YX4knbIJQRSLZZ+hDD7BjB/WJkN7RR0+nIiEHIH\nkOhzMfwfFtqdPZg6a+30gbZsiqnJQFa6v6h25OLh4TTBMW7FAar/yK1YmlVFmjjTQNGJRAgOQE2n\nKsTuYytK3M4IWTxb1nu/sKjHrNYdWab33pBDR/BzgYhGkmfP0BH2lP/A+BqDjkWptweox0r56xgK\ngCw11XVXFnQ7AIQ4llh/G7j++BnfmzdvDzH/w/fm7QzaKVfSCalUZSiV9pnwGoH/dq/PPn70I4cJ\nkiMS8QX41EXpAZ+U+4mJiBL5IAHo7JJ0ItjpWHUVFNuU78ZwnLL4kRsNjQcYYEqrEEDNOSUR2y2B\np1B1JUWfvMA5jEBzai2oUpPBkiKbSDIQ+Ktt6sLsYGAgBTSH48eRe5h+ilA/ZShq6EHImgL8n2ag\ntiPt2XES5FDZJ4DIy0DiAKagpjOWa7+4qP71tAskl1PgAZLQxXvU66BcJBGcVSjRHZeVTDOxi4AD\nIVCB/ZjQdGQbBGNzk3tqjF4Dwn6XxYzKUSS/helIk4oCIP8SWY7GNe370nmu6Vgq85L4407S8ebN\n218h8z98b97OoJ1ymWyTw/jQsdcFhWFTeQ+FEN5JsOngqT3i9+a/mKRTOLLNf/GQgXGMKuTwg0pL\nkDo9dsBhDmZDaedIWNoS5PXHAPvc6qFeVc9EUYpiTkHsEaHzrPicq6Cb75Y2U8hZNxA7MB3xiTK4\nyEwwJDLJxj7IVFv00zsMfkRpBraFuUcG3yXP9CEeowe+9F6X/czI0A/7/PlkoNeQTcCPL6ccT/T+\nBCGP12OLmqC10VnLt13O/QjuaV384ZWywnJXfjyCtrAIHiF5YPAZjHLx1YfERDhtgxA9Ey7jCa4r\ng2KXkqxmIS5kKvdqlML3QJDUqfmEIJpab/LzUpTf0ZG4iw8wP+N783YG7ZRnfCI3qyQSHVcAv3iS\np3Dq2zidoFQN/0Eqxb2Yi0AUFWEGjYVkCYEYC46ZvQ3BDCzligNg99zsHh1BG5JiixLWQLA52eUY\nCMqK+I87UPEFreRqtsFbP5OZ3mY6a9qxzqoTiWScANKxQrDZWGdiEyEakXc+zBCppMsiEspATnwg\n8QoHUJ1nd5NjL3ogF47IxCVljbDSTpfbWgeaUHPQ18+nQq5OxzDbCai6fF5TY+9f1/t3X5ScLBCY\nrpZdDBF3I6m1OMaIRlAmKlQYaRUbGu0XCXEWQtxHAPc5cJGVoIrknnO4ZdSDlO6tDSa317c0qrMj\nSHMIpGavr/fP3amLF87lbavzHNlXkCQdXybbmzdvDzX/w/fm7QzaKctrK2niCIoiCDfWK5InP1JI\nNQZ/tyONpqDw4tB4AfL6iyUI2XWIDvzM6ZTxl5mAr5YU7rklQIoklsiAj8YK0V1Z4+EIikyCzudY\n8uyR8KuKz3gMsHsQaN8W5sQfC6TOxPl1J4AbUz3nJJEKOLAMmUYMo48UcoHXfCQhzAGo2Di/ORKd\n467C8c4uV64Z9tXPXJFlTEnCl4mIJiA+WpTQVgMLtP5Q5LOncOw2JDrJ9cTg+g+FFHb550REFohL\nVyCTjhQ15bEeQhjv/mF6pA9ERPf2dZlSa3AI+bkLSiKuiPJTfR5kw0EXwG1hEZuuLD1uv6dVoa6/\nqSKyt24xMbnfAiFQISOLDajPDmKbIxHmrIBo53xTYkgkccf4kF1v3rw9zE53xg+CnMBzLqqZRZXq\nu3KeUyE7qZIgna6SWLe3WXmk39NZd7/Ps8aFqZI+qwugnNPkt2gMumpjmSkmECE13oXXdcznx3Tb\nAyGv9kDu+7AvUWlA+nQhCq8lLi50JcYS8VUsKmoJhzrjr87PExFRAvrbTsVlMsIZX/cpip4depOE\nn6RsgqhFr9e5ibBMeZjwTBJGej0jKG89FaIpiUCKXCBOfwTlqXt6np7MRB3Qwh4JCZZiaitsF0Tv\nbh4i6qoxb4cIqWB2d662FMYgFtfpLOjrrSxwWm5S1lmzneq47koS1f1vvZa3nd/mdPFnPvOZvG0G\nZLMdyTvqKYK5f/ceERHtbGl9P8gEpkvnGEVcuKDkthHNvi4gwDHIlr97j481BRR8YYUj9/bu8PkC\nT+558+btYeZ/+N68nUH7UKgvWnu/CU2PE9F/TkT/Jz1yJR3IyxAmpFhSiPfZZ68QEdFOV0shv34L\ncq4lTzkdKRTaPGBY+co7mvM+V1eI+MKTl4iI6OrVy3nbwirnXyMRcu/Ge/n2/Xvsp74DMt/rhwO5\nBIXBNUnOefzqk9o2o7CyWOOlicUlhUSoHam9BmuBSsmVdgYyUl7PWAC5DwTadF9IOYDBI0nimUJE\nXLulcLxQ5PZ5SCCqNyP5q20G6vqNJS7hcE/h68377IfeOtBrBJc8TSRaLcXEqbJEoIFgZaEMcRSy\nZmk0NUKtJsuPGzfe1uuBBK+C+NUHoAUwkQSZFkQIplt8TxJU0wEFHhuxH98keoNu3OZn6wCq3rz0\nvc/n2xV5hNdvaQWcw11ZLg703r63psvEPamNOIWEs0TI7blzGkOwPKdaATX53MJ1l2TZFDnNgI9R\nbPNta+2L1toXieglIuoT0e+Qr6Tjzdun1h4V6v8YEd201t4hX0nHm7dPrT0qq/+zRPQbsv3IlXSM\ngUofAhtDSIR57BIznbVXFE6D+50oExmtivqMU2F2dyGMFAtb/sXXrz3Qj7klhk8xCFoetBXS3rjN\n8HVQ1kSZNdHIb3dV09zcZwi4tqta+5/7nDK/dTn+FPzNVgQkUXKpgOGf4kkIAkgaEviWwnVhwO/W\nAUPIt2/cydu6kpDTH+l51td1OVSOuP0nfvjzedvTDfZdI6sfVnQM+gMOz711R5diazJud3agmhBo\n2w/63FPU2p+Z4aXEyrLexwWQ1OpKhSKslVAW3/Wrr7+Vt+111OPgypNnx9QO2OrraH3z5l0iOqrP\nvwclyROptPOMLBGJiBLx1L96TX3ys0u6PHhsnhn+zS1dlo5T3ufaHR3zP3ldlwIVOU8FJOEKBX62\nFua1bbl6Id+eES9FBaZrK0s+K7UbUPbsg+zEM75Ia/8UEf2T93920ko6u76Sjjdv3xX2KDP+3ySi\nV6y17hX2yJV0Pv/88zbP/JQkFAuRcCWpihNDmeUY3mCu+kwGSSBF8c9fXtTZ4yokMdx6i9/So4HO\nQnntNpA/KZaV0ArEZ9ys6Cz0+GNMuLR6SviNBjzjjAc68/T7+vnFFX5bT/o6u6wL4hkACVOAGANX\nbhrylCiW/2Bp7cTC1CYpvlgdvJLwjHSk2kxVxyggJivLcN2OGMLy1Sgp7YBLOVEf+IJIiI8zbcvA\nmT6VqkY1qIg0P8vnXJrRc08hSvJOh8dgCqRcUORn4+a2Eov3DnWsrcw7DYiPWJbU5ghiBPp9N0hQ\nUryqA3fuIvvFH4dkoDjjsQoyiLKD6EZX5hxr+S0ICsisXncIYp1VSeU+UtOxxNf4xFOX8rYm1He8\nLDX8mnUQoHUJXC5e4ziN72PsUdb4P0cK84l8JR1v3j61dqIfvjGmQkQ/TkS/Dc1/j4h+3Bhzg4j+\nuvzfmzdvnwI7aSWdHhHNva9tjx6xkg4RqYi8y5sG37PLaw9Qaxxyk11J7FpBP68nvP9MVQUvA8h1\nTwT61FAZR4gQYxSarSxqQcRl0WF/b09zpYtCHs01QIt/RaquzCscWwCFmCRgGNcBDL4oed59iBEA\ntzd1W0zUlSugGiO+ZdQhKAMh+JjA0uXzusRpSfLHdIyCltr3xhyP18IsLHGmDtLqmKOWf0lg9GNX\nlHCan/A9mYNc8yfO6TFd1Z2Zpt6fkiRU4ZJtZ1eJsX6b/dUhLGdcjMI2FFQ9gHDkJRHUXJ1XMrIh\n8RzLi/roXr16iYiIhlCNJoLw3Xm5f2XQUBgcct96e3oNDQjTLooYZwxJUvMNhuO4xHn8IlRucroU\nsX5erUppbSBxMfGnIQltKAw1GfJ4mFxjgk5kPnLPm7czaKeapGOtJSsJJ1bcVtlE3WiunlgJUmxD\nIPfq8po6X9W37byETQXwtt3e0dkjkuoyS0WoRSdkTEj61l+Essnf9yIXBr54qFV+QiEWCyFU5JHZ\nrAAEWlzRN7gVkivua39LkqZaAsIJZabX19hVNjunBE4ipJAB4iaE7YbILRfqOtvZc6zMgrX+Mqvv\neVdZCMd3IoRVmAI6gkSYskQVRnDueXF5Pn5BZzMQwSFj+HqxDt5I3GudsY7/EMjMmhCCU5AQd0ld\nbSDVYqgfWJ3ne1Cf0fEvC1k2B8/L4jLP2qWqjlVc1rE2ImGdQkLUhigFNbGPgL/c0VEFKgm5n6ur\nWvvOhKAhKOm2odWDTkVjsAuahR1ISHO+bQsxnKn8nkz2oPT8B5mf8b15O4Pmf/jevJ1BO3WxTeuk\nrUXcMgXRyKlslyAPGyuNRAKPIlAlIVFSGcOSYdhRn/28kCtNlKt2EBLgXAhRYnMiBBrCezGVfmMS\nhPMPI+TEhHCnRFOBst5W4O0IEo3KMwo1W20m/aYjJcuMHKcK5ylC1KGRZUwCkYaRI4ogMgyLZlrJ\n55/0NAZhIDEEaQjCpFhM1CX5A+FaEPhZLMD4QkHJVJYaoxTEQSXJJMAoM2Cx8uUFyGu7pUIKAqmN\nOsD6uosXgDGS4+hIERXkka9ALEIMyUIux38AJKJTQ6pAjEAMFYjcsqsArNt4n5ebybIGtCYwRjZI\n5bogGUviV9KhPpe9jsYOTOS7CRB+E9F8cAKp9hPw43vz5u2viPkfvjdvZ9BOGepbyhwzKXnaUwjZ\nTccMa4qQnx6ClFAqED0DptqhRXD9Uww+7lqNYVwJ2mgkywMsTggCnYGw6DEw0VXHnIN3IHASUgBZ\nR+CbnoqXAt+uI4FzY2CsmyA42ndwD8KWy7IMqS3M67mBOs9kyZINFZ4agbIBeCEygIGZLB8mHc0R\nH3Z5mRGDRhSEOtBUlilYzDIPFYW2gBTqu6QkA5WDXIgrsv8ZLENclZoUCmC6cx6RSwNfehjyGFaK\n2GFZVkKsiJGTGtDVDzKoQCSnnEDu/WjAYxUCvE8iXHbxs1EqqGdoKPtMALYXoGoUyTktLDdHbVdv\nQJdfh239fCDP7RCSjlot9jwZtyzyUN+bN28Ps9P145PJ0yEziQjDWciKHzQCVZ4IslUyib4bQ35K\n6kpIw3HKEC01U+NtVHNxPvkBvI3DELf5bT4FEcxIogXDgr4r8xkA/OP4ws1nKSBjDqW0cwYEWBGq\nCQ2kAg5KYU/cWBm9Xai2M5XrmIAUdiDfDQC1TCHHeeISjGD2cEkkASSTxCBl7kjMNghwuoo8FuSq\nkxJIZcv9no6h1p8gNhAHyusmEsHsD2MwFgSURLpTGfzmi6scnVcG6WknBNobgPinSIMnRb3uDCIE\nJzLlt9s6lmNBDuWqxipUIRKxMsPJT4U9jR9pHXIm6gCER+NQ+xYI4hjBM9YaMGLbBnJ6u6PP5b7c\nK4wGdOg2dQjlZAI8fsb35u0smv/he/N2Bu3UK+kYgeZGct4t5HunDmIDDK4C8VWW0NgAkhiMQDH2\nNAAADNVJREFU5PBHse5jIoWAsZRAzmCfscQLYIWVMIHEIAkeGE4VZk26UjQzUYKnKJA0RQISS28L\n1B8gnBP/fVRSeF+BnOtyzH0qkELjvsD1zb3/v70riZHzqMLf632ZpWfxMh6bOJFDUBKU2EQoUTig\nCESIECcOIMQBwQ2JEJAgEYeIYyTEckBIiCgHhAARIoh8YDO5EogDSkJiE5t4mc0zY890T7v37uLw\n3t/1OYo1Y6enZ9pdnzSa7up/qfqr6q9Xb/meJzKZICVWlGab3Ws7UZ3IHt0iLv7I7bNF+5BIiRWj\nLUOCglUiF4U6XSdpvApNYtgU2gokorTgtAWq23NvUjBQm1yuE8bWE6dEAXVjySlM+Od/hLjtC/tN\n8Vnx7alZJqMSbemyxtojlOAy1aQEpbZ9q5DSbXldz+EEoiN7fDBWLKflayTWR1vZNo3lCil+GxXz\n56Bkopdte7FKov5amcaB2ewzpEjdMO6CeCNKeNpjBp6AgIBbB/0150kMcUtJLE5XuWSelCyi5D41\noo6eJKrncfPKSlGwQzfPGyk1apRjbmHZmGbe9HnLchbMMjLhGWkatIo1Ra/Jb+imZexx9K4ci1iQ\nyVTYoMCTiEp7lUNOzWtt336/YoyNejrlnOW8y8S8JFS1FXR+2YcJC9EuR6HObWb1MbMVlwkrSm1l\nWLw43y1bvaQkSjlSruYy/pxilDOPiO0OHtxrx/n6lks+5LhjdY+R6c0WYtQ7vDqzGVT7/2rZj41q\n2QK4cn5Fu2PGK2yTca1bkoZ01BUlkkbSpkBrp/yqmqYVFBZKXdqge9tKv7Do2X+Wil6qGbFAMZYI\nDu3TMO8qpXlvEo9ixORULnkp4fKall2hwJwiSYvlSAqhbE7nlUIQM2M6ljudYM4LCAi4DsLEDwgY\nQmxJ1BeRJwB8Fcrv8TqALwOYAfBrKDPPSQBfcs41rnsRKLV2LB0lzbRAmAwlDYxESBK7p8j+PjFq\ncdpNLx7VzVuNRew2bRVGLLa/Qamdpw9o4MTouBexkymvRGybMT475suaprjZIO+4TlmvnSBFG6eY\nblqd1kgpt3+vKqHuO3Z/t4y9t5LmT8AsRGLMRI6UiA0S4TcaUcCNv07CthRMNDlKwU+xmMXJJ/x1\nKqZ0K1d8G1N0z5SJ/amkv05EXpmMU1w/SZtVE61jlP0lUnw1OUiHElcmjKuhTgEqZRP1HXk0zmb8\ns84mtc/r5DNREW07Zx2KEpm200TkSSdVqrotq5Con7ZApcOznuGoc02GUgvSIQXz5TVt93rtXLcs\nP+mDdKLgpQ1iiyra56tUnxp5EEap2mukrKxaXzWyOk86vfLcE5FZAF8H8IBz7l4oA9TnATwD4IfO\nuSMA1gB8ZUt3DAgI2HFsVdRPAMiKSAJADsAigEcAPG+/h0w6AQEDhE1FfefcvIh8H8AFAFUAf4aK\n9uvOdX1A5wDMXucSHhJD3LjHnVMxOkG0R+lR/ZzOkk2ekg4W9qvddn2d8oeLBUOwfEkutJ2G2YSd\nb2qnZjHilOhRchQYZLHu+ax3y2x0VNxj23PL7PhCrqNC7q6R3y1vQ44cOQwAuPfD93TLzr7+GtXd\n/BzI/pvKm42WAnsaJIJHd2+wDdds8il6Fgli9cyYHXuycKBbNnqPaqKZ414oxjxu7a1VKJGmieVr\nFX9Oi9yEo9I4yGoSueySCzFbaqItQIe2ByUTaWtr/rgcBfHcNq1bxpW23zrGqzqeig3KcGN+JCVq\nY2XDcx+Urqi2P0uuv6mMjUui2xqlnAB543po0JZirqWZneZom1de9vWYmtaxlU74azZT0XjpFnVd\nuAEgmdGxNTXlx+XMAct+ZE4W0iuXXRGZgObJux3AAQB5AI9u7fLvyqSzurr5CQEBAduOrSj3PgHg\nHefcCgCIyAsAHgZQEJGErfoHAcy/18mcSecjx446idu7xphhhN6siUjZlvFKkLNLF+h3fdOVS/4t\nOGLKq3jGr0xLy15hshgx2pCUULqkr9SRUf/mTFFIZUSY6chrsGbeZLkJOm5M782humzjvlJXW68j\nFps9Zr/Pj3hJJ0GKIp/Tza8ErqXnV1ukiKt6BVx+RO8/yaSf5ltAwgYuXPR53CrLurKVLvkVqWPK\nvSQpBIXq1rZVstFkiUtX4JkZvwJOEVFoLFpbmNTTVsYqLW3dcQFgYU6f2/lLfiWu2el54ihNTvnG\njeYPAwCKfjih1tIvLSJVbcT0Qq2Ov/dG1a/UK5f1ntMTfmpMjGhftMkzstIgxqDI45EkkPG8Po86\nSWGNirf9N0zqYQaeWt0Ufld9fbhuKRuPDVLgXTE69oIpXHum3IOK+A+KSE5EBMql/yaAlwB8zo4J\nmXQCAgYIm05859zLUCXeq1BTXgy6gn8HwDdF5AzUpPfsNtYzICCgh9hqJp2nATz9ruL/AfjoDd3N\nURYQi4EWEmmTlsBx9sgHu2Xlv7/a/Xz6nYsAgCtXPN/9nrwpPLLell6nQO+sZTnJZrz4OTqqtvRc\nwbvsJsmlNG1sO2zjzhgrTYFs/+l0pKj04tU66TEWzllaZAr2SRmDTGnuXLcsTpl24uaq2yFFXs1S\nXVfKXrxnlpZsXusxRs+gkNV65iZ8fVMJvxUoZlTEL1Lg/+UFddll9p8Gi+OdKLDHi59Zy/gzTtfJ\n0fNom09Gm7YHzaJuxdbWKJ02uaaePLUAAFgmV9vZvdqO8dt8YI5L+exHZ17Ta56noKTlRRXx2ymy\nyWcttp4UyO1rApX02CXyZWhZcs4CcfHvJ5t+5ar5GJCPR8tIQfeP+a3hnoI/v1zXtp+/sNAtW7mk\n43q96OvLfBTTe3V+jKeJW8IUqZ0oo2lg4AkICLge+svA026hsaaBDp2IZnrdr5B1y1WXJIXHXYe8\nuWmtbhlYyvS2NmWaI960aUojPGJKo+So1wrFx/SczLh/72XytOKbBsmRmc5ZOG6SzE6NsppnNore\nTHP+7Lnu56UFVaZJ3D/my+dOAQCqxaVuWYze4PWsrcrktVZd19WhTYqeeIw8+0xiqBPTTKuqkoMk\n/SqUzPpnNGl01JN3+mCh2RldkVq02jXqlOnIpBBm8kla4FRkagIA1/bn1Ct6bJ28zWrmBbmy6oN5\nlovEpWf9v3fEK02nJ7Ruz8We6ZadPPFS9/PRmirl5otvdMvaotekBEM4YIrHuz7gaa/HSVJyBV2h\nm8QR2DGvwo0S2dmILjxpHJEjpKhORvkBq9RPHT/e8tZn0ylf1rJzEtTuGNGji/VFa82Pt/FxHS+Z\nrJ4T26I9L6z4AQFDiDDxAwKGELLVzBs9uZnICoCrAG4lT55phPbsVtxKbQG21p7bnHN7NjmmvxMf\nAETkFefcA3296TYitGf34lZqC9Db9gRRPyBgCBEmfkDAEGInJv7PduCe24nQnt2LW6ktQA/b0/c9\nfkBAwM4jiPoBAUOIvk58EXlURE6LyBkRebKf936/EJFDIvKSiLwpIv8RkcetfFJE/iIib9v/ic2u\ntZsgInER+ZeIHLfvt4vIy9ZHvxGR1GbX2C0QkYKIPC8ip0TkLRF5aJD7R0SesLH2hoj8SkQyveqf\nvk180eyJPwHwaQB3A/iCiNzdr/v3AC0A33LO3Q3gQQBfs/o/CeCEc+5OACfs+yDhcQBv0fdB5lL8\nMYA/Ouc+BOA+aLsGsn+2nevSOdeXPwAPAfgTfX8KwFP9uv82tOcPAD4J4DSAGSubAXB6p+t2A204\nCJ0MjwA4Dk1Lsgog8V59tpv/AIwDeAemt6LygewfKJXdRQCT0Jia4wA+1av+6aeoHzUkwtZ4+nYh\nROQwgKMAXgawzzm3aD8tAdh3ndN2I34E4NtAN3HdFG6GS3F34HYAKwCes63Lz0UkjwHtH+fcPICI\n63IRQBE3y3X5HgjKvRuEiIwA+B2AbzjnSvyb09fwQJhJROQzAJadcyd3ui49QgLAMQA/dc4dhbqG\nXyPWD1j/vC+uy83Qz4k/D+AQfb8uT99uhYgkoZP+l865F6z4kojM2O8zAJZ3qn43iIcBfFZEzkET\nozwC3SMXjEYdGKw+mgMw55QxClDWqGMY3P7pcl0655oAruG6tGNuun/6OfH/CeBO00qmoIqKF/t4\n//cF4xt8FsBbzrkf0E8vQjkHgQHiHnTOPeWcO+icOwzti785576IAeVSdM4tAbgoIndZUcQNOZD9\ng+3muuyzwuIxAP8FcBbAd3dagXKDdf8YVEx8DcC/7e8x6L74BIC3AfwVwORO1/Um2vZxAMft8x0A\n/gHgDIDfAkjvdP1uoB33A3jF+uj3ACYGuX8AfA/AKQBvAPgFgHSv+id47gUEDCGCci8gYAgRJn5A\nwBAiTPyAgCFEmPgBAUOIMPEDAoYQYeIHBAwhwsQPCBhChIkfEDCE+D8HA7h+seweWwAAAABJRU5E\nrkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dac76d8d0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 10410... Discriminator Loss: 1.2695... Generator Loss: 0.8037\n",
"Epoch 1/1-Step 10420... Discriminator Loss: 1.2881... Generator Loss: 0.8146\n",
"Epoch 1/1-Step 10430... Discriminator Loss: 1.4841... Generator Loss: 0.7443\n",
"Epoch 1/1-Step 10440... Discriminator Loss: 1.1279... Generator Loss: 0.7864\n",
"Epoch 1/1-Step 10450... Discriminator Loss: 1.4649... Generator Loss: 0.9297\n",
"Epoch 1/1-Step 10460... Discriminator Loss: 1.3983... Generator Loss: 0.7493\n",
"Epoch 1/1-Step 10470... Discriminator Loss: 1.3025... Generator Loss: 0.8726\n",
"Epoch 1/1-Step 10480... Discriminator Loss: 1.3413... Generator Loss: 0.6361\n",
"Epoch 1/1-Step 10490... Discriminator Loss: 1.4095... Generator Loss: 0.6189\n",
"Epoch 1/1-Step 10500... Discriminator Loss: 1.3131... Generator Loss: 0.6618\n"
]
},
{
"data": {
"image/png": 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kIyLKC5IagFz1oMUIZEzXEaS9Ox1+PrdAzWi2zmgmf0p1+LxQQ6eUk955HX3u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\nYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dac17b8d0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 10510... Discriminator Loss: 1.3210... Generator Loss: 0.8413\n",
"Epoch 1/1-Step 10520... Discriminator Loss: 1.2047... Generator Loss: 0.5878\n",
"Epoch 1/1-Step 10530... Discriminator Loss: 1.4400... Generator Loss: 1.0525\n",
"Epoch 1/1-Step 10540... Discriminator Loss: 1.4856... Generator Loss: 0.7272\n",
"Epoch 1/1-Step 10550... Discriminator Loss: 1.4373... Generator Loss: 0.6747\n",
"Epoch 1/1-Step 10560... Discriminator Loss: 1.4687... Generator Loss: 0.7741\n",
"Epoch 1/1-Step 10570... Discriminator Loss: 1.2590... Generator Loss: 0.7342\n",
"Epoch 1/1-Step 10580... Discriminator Loss: 1.3178... Generator Loss: 0.8569\n",
"Epoch 1/1-Step 10590... Discriminator Loss: 1.2052... Generator Loss: 0.7949\n",
"Epoch 1/1-Step 10600... Discriminator Loss: 1.1968... Generator Loss: 0.9305\n"
]
},
{
"data": {
"image/png": 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Q8vE442shnqDPHhD7lSHyGLBG23guZNfw0OjVFT3xQsmxeII0tYoqOL72L3js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\nCOhBhAc/IKAH8T/zDtWtI8ItiAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da6b588d0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 10610... Discriminator Loss: 1.5676... Generator Loss: 0.6585\n",
"Epoch 1/1-Step 10620... Discriminator Loss: 1.4860... Generator Loss: 0.9136\n",
"Epoch 1/1-Step 10630... Discriminator Loss: 1.2400... Generator Loss: 1.0616\n",
"Epoch 1/1-Step 10640... Discriminator Loss: 1.3501... Generator Loss: 0.6219\n",
"Epoch 1/1-Step 10650... Discriminator Loss: 1.5369... Generator Loss: 0.8147\n",
"Epoch 1/1-Step 10660... Discriminator Loss: 1.4280... Generator Loss: 0.6745\n",
"Epoch 1/1-Step 10670... Discriminator Loss: 1.3291... Generator Loss: 0.8705\n",
"Epoch 1/1-Step 10680... Discriminator Loss: 1.6188... Generator Loss: 0.8199\n",
"Epoch 1/1-Step 10690... Discriminator Loss: 1.4133... Generator Loss: 0.6562\n",
"Epoch 1/1-Step 10700... Discriminator Loss: 1.3344... Generator Loss: 0.7071\n"
]
},
{
"data": {
"image/png": 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QrhqWvaMEptmrThNo1sHS4AUwoRESfRZRQBvzjJ/BAyilTiNBXxkTinuPBWlu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\ndjOJ8K2GZfQZTFuXtjXOi+pFlwi1Y8E1xUoKRikPhjKbjhbMb30KczF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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da493fe80>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 10710... Discriminator Loss: 1.3191... Generator Loss: 0.9704\n",
"Epoch 1/1-Step 10720... Discriminator Loss: 1.4205... Generator Loss: 0.7190\n",
"Epoch 1/1-Step 10730... Discriminator Loss: 1.3806... Generator Loss: 0.8748\n",
"Epoch 1/1-Step 10740... Discriminator Loss: 1.2956... Generator Loss: 0.8417\n",
"Epoch 1/1-Step 10750... Discriminator Loss: 1.2877... Generator Loss: 0.9098\n",
"Epoch 1/1-Step 10760... Discriminator Loss: 1.4572... Generator Loss: 0.7460\n",
"Epoch 1/1-Step 10770... Discriminator Loss: 1.3599... Generator Loss: 0.7880\n",
"Epoch 1/1-Step 10780... Discriminator Loss: 1.4582... Generator Loss: 0.8497\n",
"Epoch 1/1-Step 10790... Discriminator Loss: 1.5790... Generator Loss: 0.5692\n",
"Epoch 1/1-Step 10800... Discriminator Loss: 1.2783... Generator Loss: 0.7312\n"
]
},
{
"data": {
"image/png": 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Ut9b+U2PMjfc0/wwR/Thv/zIR/R4R/aUnHSswRG2GK2kgfkyF4ELA5eAkXUwU6k9GDEWB\n1JlykYcZyBDfewDRXQu3f4b+UCZHUsDbSQK+U/GLAxkmUJLgOIkUOAACss5UiLKpjALHqdiXXhVI\noOn1TguJaNT+5OyLX+RA9ABUbfzhqArDxFkKqjtxS4nHKOaEHBCQDCVyDxJQLMEaiLsp0W1ERDEr\nF0UoyQ0y4BFHSUZwn4nd86j0g+SeFIwI+xrtJ+j25PigaRvPUGaapadhmRHzGEWYiMSJXq2Oahe0\nYFwy9vnHsGSLeIlVL0Xr6RhYyceH2AupuBRBWw7RiZJUUxhNOpLKPxbu/RIJyVoB/b72rc1LE+EN\nz4n0v21yb9taKyoK94lo+3Ff9ubN2/eWvW9W37oA8UdGCGMlnQmUEPLmzdt3z75dVv+BMWbXWnvP\nGLNLRHuP+iJW0nl+d8P2WaO8xTCsKIEp5fcHVm9BnzAxXMzB/y5+196qik8enKje+hGz+kmoxwnP\nEK9MUoBpDa2v+8QsW2VgnyBxUDSHhI4KPKk5F2Ysc4T17KMGkUt8/QqZn4H8lUgxYSRsmiqEl2Sj\n4RiSiiLHFqeQoNLKdIxsyy1JaoCsAUtUWWDtMSGnFj8+hFEv+BEaLbTteKgdXcz4nkK9gaLmJCkQ\nISUQWJWw6LUVrAXIOvVQeakDYpydVVc/IZxDgpCEOoOQ6oyvLYRQ2QRYfeIlUgyyX8LW15CwZCCs\nnHi5ZAOMB3DfxZDnEnD4gp/rErwdUnUnN7iE0dOIF0k8D0REq1z9yCzcPuF3itV/hP0mEf0F3v4L\nRPQPvs3jePPm7btgT5zxjTF/lxyRt2GMuU1E/zUR/WUi+jVjzM8T0dtE9LPnOVkYBCQzfpPWCD7u\nStI+YaZdQCnr2cLN5MVCiaKs5aSlAyCp5pCMMuZquTXIXqciLQ2ikCn4eiMhV+C1mE/duecTfRtX\nUybqYiCUgEyTBJkFzEK1+MgRJQAhJW7dCqLnmhLgS5Fjer0zrjuH8s0PDh0F8/VXtCrsClTB/cgL\nTl76uRvX9PNVJ++MMQIYvCjl7Y6gys87XHX27XcU9E3Ap2+EuIQ4itC47QiSTWIIpBjy7NXrQSXf\njpv9V9Zv6LHnSvSZ8DUiItrgCkFERAmnd5eQq1swqXx4RysYv3tPpb+31h2KuPH81aZttS/IQ8e3\nBP/7YuHax4V+XvO5KyA19w50jB7ccxLjKFUuXGc7BXIPiGxJhMKoQql2XI/fk6zzBDsPq/9zj/jo\nM+c6gzdv3r7nzIfsevN2Ce1CQ3YDY6jD8FoIIsxbqJnUK0EvPZ9DAUzGne2eKpC0uIBjRQoLj2a6\nT8kn6LaUKMp4udEB6It+cRFuxPDPMSejYOHDiCFxjQlAUw03lhUL5FnQTCB8rVAR375T1v8PwLef\nM6zsAlGXog+ciSQM2SUumjmIATYCBN/bd7DTkC5DqtJVlFkbrOlxAOofDV247J07qnwzPHFtGZSN\n3riu1dP77Iu3uS4PjvfdMmQ20oKQ1TyDz913baFj3Wo0/0E1CQRLRyO3PNje0spMfVaqeQBVfPaG\n7v6cTPC6IZ6Dj/nc1fWm7dM//AkiIrqyreXbDdy1vQP3vLzyppZQv/2uu8a9/ftN2yLX57rTd3EE\n3a7GE6RcLLaV6rKnC8KacVPvQcelK358457/KDjfXO5nfG/eLqFduOae5B6KiySG6LmKlWpiiAJD\nzTIhVw4hiUdUeQYb+obOIfIsa7s3qtReI1JpZVTO6Qz0zXt47GacByeaEJIwOti8qrFKJftaciB1\nxhiRJ/tiBRv+7hxQDSYdjdhV2cNIOLkWaMvApVMyinjnjspNP2TSqIThu7qr7q/BpruOOSRJ7e27\niMdeT2dNCwc4PnLjYYBIjThS8Y3XtBrQBIizfseNWwapyZ2IVXnAP2nAVdbhmRqTiiTxp5FYJ6Le\nut6LjKMOp6BVvsFkJUaHyk3pbyiqaW8qkZcxeprdV1Tz2je/QUREg472d3tLSdHoxB20ICCd2+6e\nRpDuHUMdw6sfdhqCAdz70DoUYhd6DSN41iVStAbit9uRyEk+X+hnfG/evD3C/A/fm7dLaBcL9S1R\nydBcRDdRcFGSHSwUOZwCuVdUQrBBrvqhS8IJjSbm7K4pVO20HLxtg3+znEnij54nhaSM9TW3bJgB\naSf57V0gAQs6LZiIIo2Sz58CCdXm06DwZQqwfTZzx+qBqk/E8LMLEtXrbYWNaxyXkLX03C8xgTkB\nNaOtK1ea7Z3M7VNBostk4jQN5mPdx6DYKS8LupCI1Oq6sb4F8H+MWgNzd6zpkcL/rXUXQdgCeD86\n0PPkPDYJJNdIvn8Fy4Okp8uzazsOun/uW281bbt8nhd3FNY/x9LrQ5jzsnUoJb7qMsxLKKo5OnZL\nqOlIx6VzQ5+xrQ333fRtfQbbXXcNO1eV6LSJ3j+J/JvB0mQ+cUupGIjfbCmRTKJHQUeCI1alKCxq\nAjzO/IzvzdslNP/D9+btEtrFV9IRplbyh4GFjJiZjSKAc8Bkx5xQcgsY+IrfXTMIi31+XcM2JXEC\n9AkpZ1YU2XQCuamIIei1nZ2mranNiYXrJXkD5KkmsB2zD70EyaZMEsshRPVkDLr8fO4c1DTFZ9xJ\nFWInUAlmhfPFB23tLzFDHK4De72q49IO3VLgGHzCU060KSBJJ4BlTMTJQp2eJvvIeOBSqUS0KUKg\nu8rAhyRyXbCMG+n+ko8foI49x3hEsULwMNB9bt1yLPnrd9VvXnAthfVd9fjIXBeP9dz1ROMJRLch\nwiUoJ0wFFRRzBW3WLn++1YUKN6V4Z3T8U6iAY3jNN4ZcrWOOdUCd/x4UT200JaBSVM06EvGMNQy8\nH9+bN2+Psgsn92wpKiPuDW6g+kjASSZRgAkz+sabMRFVQqKM1JoLgNTYAHLP8CxVzPUVPbGcJAKv\nvRir4TAZh+KIEX85BpJQlGqWxA9htuxw2mlQQFwCf5xAbbzjMRBJB45IWox0XKa5m7kSKP+NYCXl\nmWB1XRFBxIRhACWvsSR2yRGIZakzn5HZHdKia3hEDKOUCFKKJTpuDSWsgcyUen6opDQ9diKZ47nG\nMtSAcCyfv4aYCMPHwaSXagr+bE5T3uzrGDQVkeCebaw58m7zisY0lIDSRJloOtVIQ8kTa2NZdYho\nFLnwGzsa2VfyTm+/9XbTNoeEs7CRytYb2eH70+uqhCVKaVeMkAqojiQg4EnVlt5rfsb35u0Smv/h\ne/N2Ce1Cob4l2wgKhpVUbQEhSsFPQMSlKSreOFhUgWihleOFQIJkCp0l12VqFWpWJcPfWvFaAFA/\nY5IGwgmastYhLCkk3DKCRJgoBGKSiToLai1STSUAIqg/ULLskA+VA9yecbIKlv8uQZOg4gSiEGBe\nytAvBF+5KPkQES2QpGz6zlr74DsuFpAsJAlKQPhlTD6FoBhEcC/E725zKFrKBFQNakUVJCXFDHkN\nkKJlJcpFCLcBwj/3ISIiWn/1laZtxDEExye6NDSVC4Htr0LSVqLbAY9xPtUlULftEmAwriCHZUjB\nQqxZqoliH/3YR4mI6Mp1JVzv3Hmr2a4rNx4dOHfI4cjTiS4JTk60XsSCk88SIIYjCU9vhsJDfW/e\nvD3CLtyd19QH4/9j5Q9xWy2/jUD2mkkUs1RvjxM+YHaI4c0844gmnO1EOjkEhiYI9HNJgoiApIqZ\nZIyxFDK7mzBpAt1AhrXewkrdTlKjLxvom35cQT0SPlZNWCqcawqCO2k4BtnxrvvuYq5IJ2UXX7hE\nYGrf8uB0SWwhw0Kr36thdimZuJxOgBAk5ypLwJ2HktymljRjPY2QhygxjmjGsHoN4YxfSH+17cEd\nTYOtWdtvstDnJYscOlhZ22jauh03K3fBJdxt63bOyCQcQtIQp85GoAs4g+jGKUd4TmCm7jLBfPP6\nh5q2F2/otpWoT0A6Q64U9eCOlv8WtyARUVi646dYMYl/P8VMiOhH6t4u2Xkq6Vw3xvyuMebrxpiv\nGWN+kdt9NR1v3p5ROw/UL4noP7XWfpSIfpiI/j1jzEfJV9Px5u2ZtfNo7t0jonu8PTLGvEJEV+nb\nqKZjLVHJ0CZgssagqKSRyjNYqBGhC0dVAdQxEpkHOfgFEGNT9vnPQNO/lkQPIMMKUNaZjrigJyjw\nrPTOIHj4WpCIi8DXHvO2XWh/RUix11NYfrLQ7YjFR0uIO5AS1BVA6NFYPz84dMkdg4ESXx3OgzdG\nCSfUH6inXKARosQkYSoBX/hS9fB9d/6TY/Vxj1izIEbZcVgeSC5SBRLjxUJiCHTc8qXYAU7WgjIy\nBcd/1LDc+aPPf6PZ/vJXXyUiovUNvd7WzEHweUcvYmNF5N2hnDlECOZz97ygnz7lJVsA41/A9UiC\nzHAERNzckYgG4iTWNjWCMOUkqxmoIglcz2eQJIUFSJmMNvCbkGjXigng5d/Lo+2pyD0upfX9RPT7\ndM5qOlhQYwiZSN68efvu2bnJPWNMl4j+HhH9R9baIZJy1lprsKY0GBbUuLGzaRdMhERco8yAqFvQ\nEH9n15CW4hoG4pEl3r6CyK85RIQV7PqzMHuLhh1IrdFKrATPgGPaD6H09mzGxEoIMek8SVkgBg24\nskRJqIC3ds1uwQBi5NE9M2GEMp1B6nHh2g6nWha6TFU15oRniJORzi7trts2IMOdAjklBN0U9jke\nupk8TlXJBwIR6YQ191CKfMy1C1NUTYp0FitFqxBe+gt2sxWgqYfS4F1Ot40zICN5EswXqkhDM93/\nn3z+y0RE9FN/8hNN22DFHafIIWpz5q6xAlduAanJJ0cubh+ViRbsNiwhP8KGiuxk1h4PNeZ/0OPa\nhBjUDzUFW333jC0A6UxORtwf0AOEMRIYEgFCCY0gt9Ou8MfZuWZ8Y0xM7kf/d6y1f5+bH3AVHXpS\nNR1v3rx9b9l5WH1DRH+TiF6x1v6P8JGvpuPN2zNq54H6P0pEf56IvmKM+RK3/Rf0bVTTqa2lMcOu\nrCOim/DuqU9H86GiTdCsJoAQZILOQuLCeKZwcM4RbpgEEjBBh4k5JSQDLSoH/QpQe5lzHbwAIvMM\n+/kzUMMpwQcuuccGnNgRxwEEADVr6PuQYd4CEF7BDNmDh6piE5kXm+2c+3sCS5wek1QRLD1qLNnM\nCSOdHsg3s6CojSGaEvqWdt2xUkgsqXjpMl8o4UeQjFIwDJ7NIemFE20KuI8AiCnmpdO9h7rU6rYc\nbD94oGOwsqWKQie8fPjam5qWu/6yg+MpwO3hyPVjDLEIxUz7K2njQ0gquscEpkmwnLaO24KXjqjE\n1OaIxhKw9wRk3+fcjBGLUhOyxEQkUGqSClMJyG9LFSZZUtlzYv3zsPr/nB4dB+ir6Xjz9gyaD9n1\n5u0S2oWG7NbW0mTB1XCYrexCbkdD4KOeOibSMGQuoa1k5Z0F+L1nAHklfLQG70DFevgL0C8vFujn\nd8fPgQ0W3/94pm3ZgEsqd0CzvwAYJjANwnwtb+fgKJ5A2e+5eBzAhy2+2ROoPDMBEdIuw8oKy1cz\nHT+Ba8ACjXIfqlpvwGrfhZkOttTfXEPfR0euSOVS4VC+FzNInCqBiRaftCSyEBFVwkQDjgxRD4G1\nBPIRxDKwwOQElHOSvuourHAizdFIr/GQq+u0oBR4MnfX2+kqbC8gnPuQ/e8zKJsecCFULOuNxVEj\nvhAUjpXKQha8HQV4b2a8HJqDctScNQBwLPE5Ec8H+uol6Svn8V0KwX6M+Rnfm7dLaBc74xM1tUYW\nPBt2kD2QmQD3gdmdeBZMgLAqGQVkEAkXwVu04BnUQJReyGeIIQIwhbdxzso7ZY0ko9t/AfEAPUl9\nhTTgGcy6U66jV02AoJm6Y04znZlGJ0okFUxC4nXLeCxKva57+yrlvHbFxU6FSJRyUMQEKvaUgGom\nLBU9G4If/64j07b2NF4gaOkjMmEFmBJIuQnPxCkkx6SYqMSJNiFE9kkV6DlcT5ZAWjTXJLyyq8k1\ndeGurZzqeUCyj3bYZ19CocKCkVsFpFvIsyXWMzyBcTnmOnhb11QWe3XdIaAYqvikUJlJIhUDeHLj\nSOrc6bmnUD8wLyWW4XTMAyLEBFK+Ayag26DDN+FYhhqey/OYn/G9ebuE5n/43rxdQrtwsc2KSaec\nkxyQvEi5K8JcAAAgAElEQVQYHqEvsjqDrIih8ozICWdthV5z8H1O2AeL+eCWz23ARx1Up33tbYCf\nAv+nkLXS4oKFBHn7khdOpMo5CyQOOWT5+FjJLvRxi18Xx0DAXgmVfe4fa+nnF7edgk+SqZJPymKe\nmAgz3Dtoth/uc2LPuhJ5fU4iiUAGGks7zzg24OhAgzRnC3ecHSgr/cKtl5rtFue6W/BXLzjnvYj0\n3q9AvMYhq87MIay5lbrjHI8hXuNYlzs7HI8wA6JOlIRwSTGauv6GMUQOgLDm9L4b13cOlMA8YPI2\nAHIPi3xKPIfk2BMRWY4dmEKSTmH0erdYmHN1XZcz8pBaeMZKGP+K4w3eHWox1zGHG4sc+weSpOPN\nm7c/HnbBCjyWgsDNWlXl3p6Hxxpll604F0sMunZLpZKZ/CvA/VUx4VHUSpBhoYyUa7pZcDEZKdgB\n30MVHZkkkdi6844rA/1wqv0dPOcix1qroIWXaH/nUhK8p4UsjnM36z441NnXQkSdaRJBdJYSDjLN\nIMKvUNfeLOXouETf9lNOCLGlooQYGK0xJ6PceVNVbNYHrjT0izefb9oKQE8nJ242rGudxXY2nUtt\nd0vlqlNwzVV8fshipQOW1z6Ae1+DwOFDTvu1QLgmmdvODzVijkKN4vuRH3Ez5+sPQTGIibNJoNcw\nG7lrsKEixJ1N1ZD5JOsf7oNOX6/v2gKDyk9wn3nWnUFhjnnuxqgLzwOmO3dXHCGcdCCykmftCqI/\nw1ivd87X8c5bmkQ1YTd2b+AKd1jzqFi7ZfMzvjdvl9D8D9+bt0toFwr148DQVstB74xhT55jko7D\ngygKGUJNu0KEGyHhpsXVTRYg3BgB1GxJKWXAmpbhq4FkIFTgCY2D2TWQMa2IlVsgnWR24L6XzzSZ\nBILa6OCBg/MBXMP+HieRACxf2dQItLpRzAEVlrb77hzIo7cOFFZ+7ptv8IVpfz/By5BeovoBcaSk\n3fM3nJ8a8+TnnMAynekypA8RaqvPcbwAQvABJ8JAHEUBstdCbA6HCuv39xwpN4cxR+Ksw3LkeExJ\nNvqnd6DOXX2v2X7xmjtnOoZqQXyrsL/dwPU3CUGBJ1IthoSXXSuksLzHz1ASQUITkHtS1nsBy8CS\nRTJjLHfe1/OUUq0JyGuRL48qvYYpyHyXnNkTgxbAGscvpFzPMPRlsr158/Yo8z98b94uoZnz+v2+\nE5Ykmd3auEZEmu+cQ/JG3eTjQ59Qd5/ztLF8shTdRDkuFCMkKyKEp8NvA2D1Me9fHOf4uRTlxKKE\nckoMIU4iDD112wnEAww4OWRrTWHf5qpC2rv3HOt870D99A+Z/cbwTrzEmKFsK1NY32eY3O0oLOy1\nFd6u9ByUxdDgMeeL4/i1oEKOyGvN4J4dD919XABsNyB82us7xvzaVQ2Bfe76DSIiOoGEp3fvK0O/\n99AtBQ7GGjq8surG8M2vvNG0HQzV/y7JLpjfLpdhQC6tSbRBFVGjfZdS4FBMiGw95+PpWMVYcyGS\n51LPLeG3KJ1VQuiwPOP46zNnZL9jDUy5z224zxtcEn53y0H9f/b5r9LxcPxEat/P+N68XUK72Np5\ntqacI5mqmgk0iM6SyCf7hPpfmGIrs7J5JKfhvmvq08e0S+myp5EPooSS/dHoJhVJaVT/qYDIq1jc\nEkUaQyZo2gvtcDjR8yxyN8tJRBwRUVG4MYuBpOpBWukqz+6tTGfnVtvNCp2WElIRVKYpcocippDe\nGzGE6aQ6o3Tbes7tnZVT576352ZqjMcYTSFSbuyQy+uvKymX87WlXY00XIW+31m4Mbh7V0tMl5kj\nK+cQw7GApJeCZ9gawR772pcQYKPGo6glxPLjbTdeIaj2VAt3fxK4+RmURre1JNzoMYmfHRSTNUDO\nNvUJ7eOfdUSYEUe21jUkeE3duCY8FIgqHnvcJ33BGJMZYz5njPkyV9L5b7n9pjHm940xrxtjftWg\nnKs3b96+p+08UH9BRD9hrf0kEX2KiH7aGPPDRPRXiOivWms/RERHRPTzH1w3vXnz9p2082juWSKS\neNiY/1ki+gki+rPc/stE9N8Q0V9/wrEof484YA3JMWcL85/1H9DaZ3hqMQln6T+8fKhPQyAk9JAc\nfO++RES1+P5xmcHrC0wkqkBjv4FxWK2Gwy7HYyjdDBdpz9DdX+GkmQFA7A0ourm1IlBfIXqHE4gG\nvd6pNiKtLIQqRH2uvtMG2G1hiVTyeLRAjHPzeVcGenFlq2nbP1ZYf+euCy99CMKZiweOoAunGr/w\nwvUPN9sHTKR+CcbokKsFTaE8OEJrEZ1cWiZKnQbM85J7Dl8LoBBnLYpNFRSrrEXPHhKngOAUxaEA\nTiTFLJEzhlVgQ+7VS0Q0HxufS2AZYz5/APtMeYwSJmHPSmo7y86rqx+ywu4eEf02EX2LiI6tbZ7O\n2+TKap21b1NJp7bn65Q3b94+WDsXuWedH+NTxpgVIvoNIvrIeU+AlXTCMAYejE+Nb1HdR9sMutyE\nJMM3K9c1C9Gdh1F6LK8N7htR48FosaWJgom8JbeiVM2Ba6s5Qk364I6t2w0TuKSfJxFbesK81L6F\n3PX1nhJfSexm9xZUsNld15n86oZzmeHsPmBE0G0ruZeCay5koiiBtpiVb/Ce2DOmBiTLAlYcwolm\nZ6Kk25U1lzxy9x0l6vYeOPLu4aG666YddV/2WMY6CLVv4i7MC3SJIaMrY43oSTbAJcz3akm2PdEk\nnYCRXwhJXzE/L12YfUN4EgKWu+5nShImnBCF5FwF6FbqLhZQqkjmRbhEKpZ+C9w3eFiHjDakWhCm\nPz/OnsqdZ609JqLfJaIfIaIVo0XprxHRnac5ljdv3r57dh5Wf5NnejLGtIjoJ4noFXIvgD/DX/OV\ndLx5e4bsPFB/l4h+2TjMHRDRr1lr/6Ex5utE9CvGmP+OiL5IrszWE83Ku4Yh8RIsF98nujaDDLbZ\nZw8+2IDz7cMIYSzk2ecOstlKfctGorMAStYVih4ulvrj+hRyG0JJjtiKNd8eSUKpMmNhuVJbd90V\n5J/PoVRywtBtpQsJHcwKhZGee22gRN/aioP1K5jvzURgBj75JNZtSWRKQM1Il0tAYCK8bbaB9GSp\n8qWoQiAHzYoj8IJclWb6ba5kdEfh/WSkiUExuX1aLRAx5TUiFke1EJdATULVkiP/1PWQ4ecJIz0h\neclYF4+Ay6r1lhvLNSA1wxpKb7P45XpPr1t87jh+KCgq0ZyY0CTE996x+ukfDPW5nRZCVEN5d75e\n0R6gc0binofV/yNypbHf2/4GEf2Jc53Fmzdv31PmQ3a9ebuEdrEhuwSVPpp63stpCu4PFp48na+P\nmQsmaPFfhWZxqjBZkJSpkXnnv3BuCYslAp//Uq6Q69NSiLEVkUWQmqoxDJhjDMB7IEgVHZuYk53x\nGHRa2t87B86H3QIZphVg8Psdt43QOOEw1BC0DaRYqGvnZRPklYv2fQgwOFgaa4mZgCWQZWmt8uxQ\nUdkf89clkenGrgp0PnignoB3HjjfP4a7Ss2AJbe3xRgQ/vzMaBBsk5sPzxjAdsPxGpvruny7lrhr\nTEvtYweWbzs9d69SkNkSPX0Mo95c1aVY2pLlhY71gpd8q5k+i71EvQsPeAkwmeu4nPDuk+aeeLFN\nb968PcIuWGxTXao1v2WXU3D5LYxvcguSNhINReArlxkJZZVRwSdgUcMQ6o2VnBI81mgyW0IkHfux\nQyB9avYZV9DfpjYeyDeHSzOk61MFaKQwIqh4On2UiChnpc/xXPszHruZ5rkN9TcPQMAz5ZneAMFJ\nLEIqkWhEQKwSUcXbBtpC2YbZmbA6j4z/0ozvOo81AxHNyNyEyKLghwBl0DsgOlkUXKYcknACkU9f\nioyEpBj9JmyfEelpRX0JRFwxSo+Jx/UNRSNtFkgNQSa9l4HwJle7QWFSOff6qpKwfUi/DjnFGZFq\nJim8MOYFllPnajkxPDD3uDKTeUKyz3vNz/jevF1C8z98b94uoV1wJR1LtcDihkDDsEupBoJlriFk\nkUNXCRRvJMkhApHBAMipNHLLgghCMGcLl0RiSj1PHOh52qkj0bKWwr1jFqLExBDx/QchxCIECu0E\nEZclJlrwdqTLlQriEoaNWif4jPl6rmxtN219COkNeTwMwuCGfNKxQB0DCf+0ELpaCZRfWoZAaKrs\nq2fRXi4lPOE95WKXgP9LKwVI9dgR7COltwsoF53yku3RilFnQV357lnPGC4TQDy065ZQnZ4mEFWc\nYJTgUgr881JItSq0b11eMoSpwvvcgp+/dvcsQCEJjj9J9BGiTk/72ecEpTI/HatgzqmnL+ZnfG/e\nLqFdsDvPNrOkvLjtGRl7Sym0OHvIbLqklee2Q5jtEpDXjrnqSzHWem8xzyRbPSXvYohwu7LpUk3L\nQN/6X37tTSIims1VGUfQSLCUqgspnpwgVIJCTy2EISagTCFyj5MsKpgiN7lKys7GWtO2XBLbbUfo\nmmMEFEIp8AhIz5jJpSQFd5+Ue47OdueFTdIRJpbUS/sSLdc2jAt3/ATcWhIhWABJ2IYElzYnDkVw\njdLfqsRIT8xzPWvGk8/RPcz32WIkp/at13MEaidC9OSO02tBH2PQ12PpdkyxzVhG3oaIqKBn0gyX\nEPKzjPepDW7dQZddtAWmebtIQ1udz43XnP+pvu3Nm7c/FuZ/+N68XUK78DLZDcRvaKEzIBoSFUhI\nnSFxLYkjBqBbCIRhvXDETAw+1o/sONLu+2/sNG0VwNPr112Z5zfvawTV8MSRe7MFlFReMDlYKnGI\nEsxCJBko0FjxMqMAsc0cVGUGHD2XAHReXXVLji5UlgmA4BSIL3DYtTHUByjfAnntjNV2UoCvIiGO\nd8QsiT2eVjQtuOR1MNbxQ9CZ8jKn04Fzcz8xdxxS1ZulAFZUanFFH5QDX47c4/MvLR0lSg/6LSQk\nXFfcRuFS1zesmBRwlGM3BdLYoMAqKxNBEk7KS5spyI5HMLJSSCnLtG+yukiguGkXCrdSzpGVCx2D\nVJKBnlIm38/43rxdQvM/fG/eLqFdLNQ3pNC9gXlnJFBAcsYSdKs4t96ib5qrnMCl2IX651dYF/7l\nq9eatj/zY99HRETrA2DgAcauPeeUxa6/qxA+4fzsw7kKSd4/POIuKsTOCw3/bK4Q6Nwyd+ecTSvY\nB+Bg6r7bBkms9RXns++1dMkQQ8JNxtr57TYWgnT9jQHqZyl4MbjwYgxO44gheHBGVSEiXWLhckbY\nZCzICXU2KeFQ6hiWbMNjDpW+r8eZwxKqxdA6g4Kf0nd8WpaWVc0HuFCRzyHGgNtwNZnCGPV4eYH5\n9h0WO20nUC0IPDUph+zW4G26y4lVxQOtNxADwz9gj9LWFoRec0gvwv8APBJBxWO5gISnQJa69FTm\nZ3xv3i6hXXjkHtnyPY1YB09SL0/LYxMR2cK9RS1E5oUpz4ZAfK13dTZ8acvNaP/Wp1W++Qd/wJF3\nCbh3o4FGxRXkZtB3v/Wlpu3O7W8REVEGpM6NdUcOWtIU2bceaG23gv34BpM3+HrKBaiogPpPxr7a\n3XWNIbi67dRr2m0Qc4S4g5RnWxNAogsPW13Cux388wuOMpuNlMBMUtffCGZ8lD+vz0qLJkk60pTh\nGqISDdfoC+FRa6+62T1NHzRtx4c6M3ZYtWcLjmmlBuAjSawz1Hbk2TkdSEgmULQAhXTIlZFYVlJq\ndzihpoJ4DHguRThzCvc5ZRR2fV1jL/ptfUbbfbfd6erJO0wexiAMO6+gXLoQtlB6u81EoBB+543f\nO/eMzxLbXzTG/EP+v6+k483bM2pPA/V/kZzIppivpOPN2zNq54L6xphrRPSvEdF/T0T/iXEZAU9d\nSYcIfLcNnMRcaYY4CI3PwC4hJOT0OZlis6+w8Gpbd7q15mDn8zsQ+rjpYFac6T6moyTLYubIwQ99\nRKvDvPQ1JmPWnm/auoGD4L//6r2m7W0oaBiIHx8z1Pnyi0K/l+e6vdVz0PD6lkLEtRW3lMBEJExW\nGU/d/kdQrebOXReifHykEBorufQ4T3ylr1BTFGKkog4RUWT08yPWyx+BVsDBgctVv7+npOdoAZCX\n89bXwB+9xofsdHU5U88htLh04PEqlPg+MFwfYakiUnjG9hmKTkAGi2ITWSUTDQiFTh+66yl3lPQc\n7DLU110a4UsiDb/NoD8dFjadjPTYD6H0+YLcvQpBwHN34K53p69QvgMJYFLRJ4QEoTYToaH5YKD+\n/0RE/xlpMtY6fRuVdM4rC+TNm7cP1p444xtj/nUi2rPWfsEY8+NPewKspGNMYJsfv5AjQJZpcg7K\nWkPCB2vOJSh9vO7abj6n6jT/8svqunvpCksjX1FXWNR1+0QtJeVQwcdMXB87fU19/fgnXiAiomxd\no/22OjeIiGjx67/XtH3uzT+i9xoilEpqBkIKZwWuoU2egXc3dDbM+PWczzRB6GQIWmx7bvZ4666S\nZbd59l8sdCynM52yLLvP1gY6u7x03SGc527qOzxLNTX5tXfuExHR3pHOXPeO3Ew/GmnkZASJJdtr\n7jrmLR2DGburPvS8juUNqL33+VddbZYJpM5mq3yvliIjcd6S+3fG5ALl0BUY6PcwQWs2dtdz557K\nfX/qliOGd9b1GbtzF9yxlUNcw4d6T15/143/SQUkIUZOMkJd6YACT+SutwPPS9zV7VbgrmM603GR\nJKmMI/jOm517Hqj/o0T0p40x/yoRZUTUJ6K/RlxJh2d9X0nHm7dnyJ4I9a21/7m19pq19gYRfZaI\n/om19s+Rr6Tjzdsza+/Hj/+X6NuopCNKIQ1JswTdRAsbK7mcUS0FfMv7d+8SEdGL1xUqrm1dabZH\nUwdPKVTo3Kj6AEliIsBIDLUe3HmzafriK68TEdHztyAnu3I+8NlcfeEYdyB9twA1a1nGoIgi5KV3\nOY97bU2XGZJQE8BxZguF2w8P3yUiouMjJdgORw5+hh09Tl4igSZLLu1HUTn4v7qt8HIw0HH7519y\ny5h3Hzxs2hYMmY+hpHU51GKYtSxPNhTmrm+75QPGUWzC59UX3HVMgPDr9sUHfnZZdSPEMMpmC+GF\niV6yP8QqtDd0adOZuWu/f//Vpi3iSjm7V5RwneVQ4YarNc0hoq7PSVRXdnabtpOhjvWrb75DRERj\nID33ufLSHpDTO+u6DNlh/30Ky9+1rvv8Lhd6Dc6J9Z/qh2+t/T0i+j3e9pV0vHl7Rs2H7Hrzdgnt\nQkN2DWm0pzWS8IEMPmu9Y0HDJeTioFIbcru7zBB//CUNud2+on7o8QMOaUyV1S/mDqZFmbKjYQg+\n/dD1qbOmMOtjn7xORES3vv8TTVsyY6a5VrY8hnBWYl/uDAqeizY6XheOgeTHp5n2N+PtGIpm7u7o\n9abs5VjbUtY/uevgcjpQeJqX6lMOTxwcXx/oNV7dduf5xA98umm7clPLJr5xh4//9W9qP55zS6wc\nijsOZxo7ELA46aCvgZ0/8BGXBLWyol6Vta7GUXzywy8SEdHePT3OcS33CsRXCU0Kruqz03wzgGcs\nlKUWVFGa3W+2Wx2WU4NQ2gEXMG21tb8rEINQbHKYLwRKFCSisvCMkY5Rh70cmyvw3HFh1+0VXTI8\nd1XP2eMrLqZ6PWsD19/unPsdnA/q+xnfm7dLaBeclmsoYsKr5ui8pYQcnumDpWopsDu/p2KQOX75\nORdJ91xL38D5oQpr7nCSRJzom1VUY1JIuojgnHHmjnXl5vc1bRvXnC83bqsvt5q5N/Pz20ostjMo\n7UyunwUo9GgpIUQBINLIopPzHAQ4M/d5CwQpNzfUB76+6vq0NVJSzdYuWehgpKRbDRFs2YrbZ3NT\nZ5TtLXfdq4Pnmrb+2vVm+1/84R8lIqJX31TP7cm+81ebqUYfYunzba5I88mPfqRpu3nD3bMi13Fp\nt3TG/9CLLxMR0e/uf1HPc8KS6Dijw6x9VklsI9uQYitzHUqwm4n2Q0qOb7+oBPEaz/453CcDiUit\njttnsKLnyXn2n4I46FUg8nZvbhIRUYoipdzda2v6rK5DnEXAxxqjChHHwURNCXk/43vz5u0R5n/4\n3rxdQrtQqB8EptFPr9gHXgNcE793BFDeQsKOKJgMoET0pz96k4iIUqs+7OG+QrfrVz7qjonuXYaF\ny/r9oOHOBRojeC+2WfEG+zvjhJyVFSUbO5luj2ccngvXYEQ3nyBUGdYz4tOfjDU2IDSO5EpjSALp\nQcll1iTYvKI+411eAu0dqr9/NFI43uIxjiFJpMt+4u5AlzNRqrDz1qd/jIiIPgth1m+wTkEw0jHv\nt7VvV3dcPzodvWfFwn0XNQmyju7TWnV9WgBEt5W7VwGo2NRLxVWF3IOlY1MPHRNq3HGwcg/IHNDO\nhvvPx3Z16bjKcLvExBzQ3U8yB/v7fb0GWa7OJnoNFSgtSdxIu6Xj22aVoZUWiKbCc1Kwrz6HBK/J\njMdFSL1zhuz6Gd+bt0toFzrjh8ZQT2SHmQzCCmZRyHXuIEkB3V4Zv2VX4RU9GbrElFcgQeUzP6RJ\nOivrLnU2hLLG8jY24ObBnpioxecGoohnWwtvfctv4FUQmeuCrt1trreHM35TUM+eHYE2Y1JvOtO3\nelU5NIMac41biojWmMDsgOuut+6i0baf0+uuAODkHG045Kg/IqKYZ6EQiKsaUlbD1KGZj35M3X3r\nG44Es5BolGG0JbdPR4o8Dg/23fFCTOzRfcKURwTGLePEn2ApChKtONXa3D2s68cowsCo44/gRU4W\nurkDaIRn072Z9ncCLtrplInqXPfpMLIdADLL4LkV+e0YVJPk2aqgHPd8pv2c8yOaQy3GBes55rW4\nx+lc5md8b94uofkfvjdvl9AuOHLPUsg51hGTachFCG+D9SAjgEISFXd4pLD+9//Ibf/Eh9WX/vEf\n+Rea7da6ay/m6uMOQib3oFqKBeUcqqTsNJCMjOxqgGEVJ6BgBRVMuMkXQmAqLAzEj79ULQg2Obmj\nhCKQduH6KdV83DXoPkJ8YXnrHhNJLVAWCqH6jsQyUA4KL7FbspQz9f0vhqrqU/M8YaDyj1BT6FIP\noJR4zqTfeF/z22fH7l60elBQEsZNSsq0oMpPJ3L9tOiTt6hIJGMABFoTxYaaD+668d4TnLs/cGMw\nWNV7X3Kk55vf1GXReAqkmzwTkDw26DDhh/n0IUiQx27ZhMVeC+7bFK5x6XI5NqCs9JjSDRH8PK/U\njZ/xvXm7hOZ/+N68XUK7UKhfW0vTRfHIzytmydux+lBjwLRF6SDo8Uhh1gtrDsr/+J/6TNPWu/qy\nHtS6fQzWT2/YcQj/xJrvXA3HhACcmJ2eHemS4WTP5aUfTqG45ky3KwkJxrBjvp4a4SecW2IYZlBs\nMeQDLIU3H0PRRvbrVqVC9Ip95TTQ/mAd+OM9l5hSAGsvUHXaPoB99GOpYBSEGquQH7nvzicQLlwA\nK33k+jEcasLNaOq+a1Pw7cOjGLQ5LuGaemfy/ISvEbTtl4Q3ZYzA89Ew3XBv+YJq8IrMZ7rP7buu\nnx97/qWmbeuqex5vHOr37u1r3MiMof7hA/BcHHMlHRBSDTDCOOcKRLCULVmkdD6DZUSBMR5ujLBg\n6hH3fcxehvqctL6f8b15u4R2Xnntt4hoRC4vtrTW/pAxZo2IfpWIbhDRW0T0s9bao0cdg8hFvYmf\nuqpPk3sSpdeCaCaMriv5LZlC3biXbroUzrCLkWGQJsuZDzGUSzEsWRxAOF8YwTlZkdECSqjY7314\n552m7Wuvvk1ERK/ev920TXKsnSdlsvH9yrMQEErI80WxuyUFKLxU3B8DM34IlWAijkdIUHZZSmeD\n5HMFjvwhy0gfH0LEIxNxG9sqsNkG2XITuzF8/uUf1H2O3fUe7GlilIHqL4umvDj6wN3nidV7UsWq\nFDTipKZpDcQYy44jeXpWmBqSfzK7W1TtEXIPdp3N9Xl5/V0nlf59L+gYXLnqEqKuXlWlnsNj3ec+\ny2ajKo9lQrCcKOKKgQFNeM4tAFIVc/f854CKF4hqJG091DiLIX93wddYfwB+/D9lrf2UtfaH+P+/\nRES/Y619iYh+h//vzZu3Z8DeD9T/GXKFNIj//pvvvzvevHm7CDsvuWeJ6B8bYywR/S+slb9trZUS\nMveJaPuRe7PV1tKcyaRSiJclRRXDnQLNeQytlCQdgPURh+KeQC76YqxKNNHAfTeE5UHAJahNrJCJ\nQvTZsyBoqZC1Yhh29FDP87mvOkHG197cb9qwAGajJITkEpNPS0Tdkktfvgu+fzmO0TaEdDVD4gpy\nv0uG06Mz/PBERP0dR5xVoB9w+KbL4b+zd7dpay005PTGhz9JRERJT0ODBzvuEbp9V/dZTJTQsrnc\nb1imsL580Nto2mZQrrtKXN9toPcnTs+ao07jWrtUYp215pHE5aWAhbbZRCH68cid+w+/rsVPe233\n3QhiBGq4z+LHR2Ix4/6GoPlwAsSwiCn1IKFJvppDOPAcoH7Ez3CQ6LM6YRJ4wcu984bsnveH/2PW\n2jvGmC0i+m1jzDfwQ2ut5ZfCKTPG/AIR/cI5z+PNm7cLsHP98K21d/jvnjHmN8ip6z4wxuxaa+8Z\nY3aJaO8R+0IlHWPlzV81M75aKOQF6JRhyeaY33Rppm3HUzejHU50ZptCxRmqHVFkIZos5ASKCGrn\nSQIKEVEQ8YxEEL3FbpN339WowS+96iK5jo51hivhlSszPiKHJroOeakztuNYb02LK71gKmkErsaQ\ny19bePfO2Y2EUV4rICO9uuOUddqbquTT33GfV7kSV22oo7dxjVOgu9oWzJ37K+lBOjK49gqeJSMo\n0b1xxZ0nHGw2bROrY72269DIh29pP741VFL1cWaXUnVltoUkHXZJ4nM3z/X+7PPs/fq+Pk/RH3yF\niIgGgCYMqibxPYsgCSfmZKJuDO44iJIccR1CWwLhxwgUSeV6KWXbbZfmNCJWl+V3yJ1njOkYY3qy\nTf0XgKsAACAASURBVEQ/RURfJaLfJFdIg8gX1PDm7Zmy88z420T0G5yiGhHR/2Gt/S1jzB8Q0a8Z\nY36eiN4mop/94LrpzZu376Q98YfPhTM+eUb7ARF95vQej7fqMckEAtJKgMZJrPAp4uQNjDYTn+fe\ngcLLGchId1adPzZcIst4AyPzQizN7c5vIoWvJSd1vPG2Enn7D50Pe55jsgnkVwvsXOLx5LsISaGA\no3wMCi/i229D6RlAzhSzvHYYa2PAX+iCDHR/RX3T0rViCpV0eMlSjtT3XJPC7cU9HuO+jssBR6gZ\nKJ290lZSbmocdF5d0WShdVYKmoOE+MAoydhmcvX5LV2GHMVKwD3ecFzdX7OkZS5/IUYDZLGPRzwe\n13Ws1q66JckmLDEz0AWomDA8PtLlwclD59ufQ0xDmuk5e6zbEEBRTVHlyUCBKsS4BV4ODaEMuahS\nFaa5WDqP+cg9b94uofkfvjdvl9AuVlefEOKfBvviG8XkiwgglXQ2ACf2WsfBnwp03e998+1m25w4\nKLq+rWEG8aqDnWFyusAikebc16VC3pMHzk999x2tulLlHCYJw2hR971BXwDn+Lox9BQ13osFJwiB\n/7fifP8kQ1FPCDdmuBdBFZWQt8upQvU3vvC5ZvvVbzht/DGEnlpONqogySaAe2E4JDiHAqPJqgu1\nvfWJDzdtm8+rJn13zfVzsKnjbzhXPYEYgo0ryvAf3XOek4eV3tM+FBE9r8kSCnUKgkAqzuj3ItC2\nL3ncu1As9PkXPkRERGuZfi+EJJ+o5+7PdqGCo/mJg/3vvqqe79e/qkVYr2+6Z3B9VWNSAitis3pv\nFyD1VlXu83f2dLkpcQs99iiEvpKON2/eHmUXPuPTe8gtfD9FMc8uMaQlwvaYEcGA1I88YZaqv6Iz\nwmBN1XiIo6Cm9/QtOXqXfcKpXn5nQ/exPCyz6b2m7e1X3Nt6BEk4C0YJU4g7WNRQLprbMaJL0AzO\n+EkGZI6oA0GU2HzGsQgDnfFTmP3DUKqoYKUXjj4Ev3Z7U/fpPWACDmapkEmlxRxmGYhlSFj2Oejp\nTH2F69wNtlWSmyAgcs6+6zFUN7JMhq489yE9NkRj5omb6ee1pvIaVAo9rzUkLqgZ8aRtQWi1hJp2\n4+mI/6IKkfv89pt6DScnSuS9ec89J3f2NJ05lRLdkCq93dGxXO+76Md+F++je+6mMyWnHx7oeQ44\nIeoP3lDUWfK4bHAZ8RCEah9nfsb35u0Smv/he/N2Ce2Cob4hIiEuFqd6MGcFmP2hkmopwJ6UybjO\nJvh8IwcRe6lC9SxWoqjFBSezFIgv7oIBEiWGMs0lw9PZiUK70Dgo228ppC0Kt3wYgzhlBcUubQNP\nAYIz0YdVcQYDhbldhvARJGKIGA+Gd1ZA+hCHjxok93icbQ2hv1AK/MY1B7MPQO2o4L4XIKYZJYrb\nrRRmhKVJq+uWWAEk1BRT0OIXLfgFVAZiIdBjq+N7v6NLsQevue3OVPsxj7ACw/nMnlW1iLF+ANr/\nCfjNM07WKk70nu6944jQFEKRFxNV26Gp0zToR3rdK0y+ppHe2xeu6TM62HTPKPrxS76PI6iihOHg\no7E7/kpbn/+k557b1qq7j7GH+t68eXuUGXvePL7vgN16fsf+z//lnyMiooLJrayvM+0m11nrb6jr\nJ4ToroBTNxNI4Qx51i4hWm8GSTryZkuhwk0Uu5kPk1pCUMmJm1lOZ9CSSZoK6pYRE3AVuN4wzThm\nueo41v6K8s7Bnqr23H7n9WZ7S5JzjM5I44m7nhoUXgIoeb3gqjs5JCJJNaIgRAWe03p1SAiKstFi\nrjPOeKiznLiK2hmggFpkr8G9BVGHFc9iQ6itd3Dito8gffdkApLcPFO3QV6733PI4m//1pebtuOx\nuiJn89N1CqXO3tqaorTtjVW+Br23ax1FfqtcsaffVnSUxqxmFGE1JihvzdcbgttWok9noMeIhK6k\noBtAfpLAdgzEIsH9i1nr8PBIr/shVyjaWnWf/er/9f/Q3sHxE316fsb35u0Smv/he/N2Ce2Cyb2a\nao7GChjqoBhkzeRSjeQS9DBics+iyIpA1QpymFExmiFXCNCYWLGmRClmTO5oVXLwxko+aAkkVSC+\nYIT6EBJmRdQTy96wnHLWUlKtB8UuW9zf6YkuVw7feIuIlpWFYhBpnDFkLjEqgmF5BX78+RyUcfji\ncInTZZg7mygsx3LdGSsXbSxFm8lxtD/Zql5bl9V2WiGUwU7dd9cqbTsEQvfhifOlZx3Ib+cHQaS5\niYgWMO4LXupVsORLWbTVgrbBnPcpQHVne02XlqscsYeFUKXqUwpE59I95TEoIeJR8r9MrPckgHm2\n4pgUE0DMCif02Ejb1raVqL5x4xYREb35tmpC/LMvOYn3hezr5bW9efP2KPM/fG/eLqFdbCWduqIp\n+zy7LfZXG4V4VLrwxCqHqioA98gy1C8xqcJ9F/X3baFa8UXujh+QQjeqpryvQtoqVxhtZw4iYp14\ny8UNl0QyeZkSoW4+lEsR5pZAPz6IXD/aEDfQ7Sg0DsYu/HP2UKWmjm9/yx3PgsAj5nEbkTFTWDll\nX/mymCmKfrrrKGB1MC+5WCUkL7UHIELKXpCQdMnQYp8+SmsZC7nzJcNkCJvt8pIhhnuWov4AL7ts\nqueuOX9+BEz+olBInOenQ8BFGiGfQ9h37e4zEPmUggcl4yAPAwUw5WkLoC1BqM/jmuBzwH2PMj22\ngTXoZOK25zMNSw44QSuD5eIAntFV48a97uq4fJm/K8u45efz0eZnfG/eLqGdt5LOChH9r0T0cXKv\nt3+HiF6lp6ykQ8ZQxEKXrRWWVo51Ji54Rs9LfW9H8LY2HO1Xg2KKyCRbkDueTXXGkdpjJaj2zHnG\nqhaKDCpIwS3aXMo7hioyXImnhJRgUcZJIcouzmB252yV5fwSJnWAnEvammBkRyxTDZ/HiSPBylKv\nazrTbYkGxNNU9enEHZykEvYfx9B3mXWzDFWPQNWHCcMYYx54JkeSEKvUFNVpsknumYH5OYFUX4le\nHANRJ0ldBUhPLxWZodNxC1HkrsMC8VsKMoDrNlALcCEl0guIf+ALQuLWQOSfiN6EBmAERwtaQIC1\nxTFy+8cg8b7KqbVtEDNtrSgabDO6WqR64RJ3cMTjHHyHFXj+GhH9lrX2I+RkuF4hX0nHm7dn1s6j\nsjsgoj9JRH+TiMham1trj8lX0vHm7Zm180D9m0S0T0R/2xjzSSL6AhH9In0blXSCIKSs7XzAAevY\nl9gFhlR5Db5PKBNsSXy1AJ9Iqt4A0QPLA6kog4UIi6kjeMqFEithCEQTV6QB2X0Kz6r8w77TEpYZ\nLYC8gSwVAH5JKGcFyTNLjBQfqgIBTxEXOgGVoXyq1yi6+wGcO2KSKoaQ0AT82bI8SVIQ8IxOK8AE\nS6EBomiDRShZUWi5QEKzWZaiUqRfKMTvDWsCWN0ppAaeSspN4/WcpecUxZB4xdeI90wUkmqonDQC\nhjOYupO2EhDW5LI3XfCRgzSrLnMgXDhmKJ/AuAjRTKTL1QzCz7ucr5+A0k+KAqu87Or1Nf6hl0h8\nw9OF3p8H6kdE9ANE9Nettd9PRBN6D6y3LmrgkZV0jDGfN8Z8/mQ8O+sr3rx5u2A7z4x/m4huW2t/\nn///6+R++E9dSefWCzs24DeyvMxrYJxKEpJKu1WDq0XekguY3UtJEgHSpwKUMJ+4l80CEncWQ0fq\nRaDCEkGEVUNIGSVeWvzWD0CfLeIoPHSjLaAfIfczgEisqjyd2LM0Wxbi5oHqLoeu78OZuna6ERBw\n7GpEok5mcpwxlrY5ISdKTst4YxSeXZJ3FrlwYNUaRSFwp2LEI+9TAkqQBC2MNCxgp8VcUJoSmOKu\nSzHtFJNeAiErMdqPFYPgGQpZrr0GZaGTpdmSIx6hb3J/llyWiEpZF9IAEpXnZL5QlLaAhJ2Mycyk\nrTO+YdefSbCSDsiA8zMTg1ZhS9yG89Nl5x9nT5zxrbX3iehdY8wtbvoMEX2dfCUdb96eWTtvAM9/\nQER/xxiTENEbRPQXyb00fCUdb96eQTtv0cwvEdEPnfHRU1XSMZYoYEInqE8nkTQEUA1Q02oXS2aA\n5guFlTkn9JRA3uVA2o2PnJrL9FgVU0JJkMBKOiCvnXFVGAjUaophJlBcs82VVUJQpCkLFMl0xwlJ\nIbbAtRwIpQLy6OdHTrBxONJr2Dt0S5MSyKP+GpQKZ62BKNWliUD4EJcmoDQTMJFnADobXrqE4KNe\n8kPLsgqEQIW4xGKhJcB+qZxUYEKNLA+A9FzAYC8YHuNyKOd8+xQIyhr6IdLUSYxkGPvkcVnE+g6o\nxTACxSCJJ4iBoMz4OFGkENsE0A+OL0lgFVJyIc45LDEzIF87PdePFKLwkkzy/vU4BmS8a94/A52C\nVfbz35u458X4SjrevHl7lF1orL61lgqp+8Uy1FDFmUKepWrQk8shCm/BKGE8VJJrymolmEq6GGtE\n3mzIMz3MxPIyL8EpEwQYEeZmgygEeWeeIS1EosXsGgrxJQtoJa8dmRMCeyfFKsoaNfW0H8cspzwB\n113BLrFWCyK6WpA2ytFfUYwy3dw3jDYzp7eXi32wy3LJP3O6hrddIr54xkfXG4yRzPiLUse3IWcB\nbZTw+WQiEZrggmVyL0P1HyDtSpnxQWlJiL4aIjBDjoKsSx3fGSLIShAMROGxnmCSqBttNteZvODc\nkB7M6KWgPSCQ+1A/sMURdym4U1MuNBJEiLKAGOZoTgPn2dhxXvTu8TGf73xzuZ/xvXm7hOZ/+N68\nXUK74LRcSwtOHywXHPEFpFrEyQemggSKSKH+jHWmj46UqBsNHRyfjhXqFwtN3WzqwEGUmKiUVFCX\nLwU/vkj8xBg1xdshElIc1oYluG2OUYUVf08PXcxdP8NEVXeWCEwmsRbgx5dqKUmCYo+nYTu2SbKK\ngXUIym8LwsfkmkC+C/21sEyRS8eVQCVjWSO5B1VqmKCrsI2hPta0Wyp9Ppe0aW0reU0YQFShgXVi\nyDEXISZWiahqCKndqSPDagvLDOhHLkuwUMnTki88gISye2+pQGoaOFi/e21X+5O4c/dWtD8diMir\nuCJTkSuUL3KORQgg+hB89nJtGVQd2r12lYiI+lwdykN9b968PdL8D9+bt0toF8vq1zXlwlazmkwJ\nai6GhR1HUMXEQtjsnH3245EyqpOJ22cBmvM1JMCLMg+GxVp7GtJGkEtds0+5Aqq65uo6GC8wC9y5\nDYh2Ys67avFrqOZ06MQR4zb4dzsbzbb43Qu4HvGBJ5CgspQ8I9dxhgsX/boBQn2Br8Dqi28/DDCO\n4rRqDyYdNaKeS2G8wETzPhjSK0KTqJpqyyWFVLcPwH85p8H7qJsUcNKNCfU+hqF7dmyicLvx44PI\nK4FI5oy9TicgTCoVl8a5Lr/uP9Tl5see3yEioq3Nq03bYuSWmzkcZzQ6rQxVw7mNdcdPoJjr6rp6\nAgZrUhMAi6e6a+xwRlngob43b94eZRdfJlvIIJbSRonkqnZvv6LWtyQmU4j6Db5FCyaK0PdcwIwv\nkXTVEkklPmzdJ4AZKeKpMwM55YIlt+sMyLuYo9KwXh6QlSW/1Qvw+U4ZrQSQdmutXmObCTwkvuQt\n/ihyT6SeMUovbBR2TqfiEhGlHMUXQ7Sf+NWRBKxxxud7Zeg0sYhVYko67RfHqVoi8mpAVFV1OvEH\nYVotEYQoX47y6IwsUHtR/N2tns6aMWs9EowVgcZjyWhv76FKWAfkyLRxT8d/0FGf/vUrrgLUyUyf\nyyknVI3GKgc+hBm/23fjvzLAhBtHPBaALA5Guv904Y7ZAj+/5WhCiT05b2EsP+N783YJzf/wvXm7\nhHbhZbINh1mKEk0JOcwSVQsp7Y3QIZHmSE+n+oUxyxRPIe95AkUfpZhmCpA25iSUAOihKgYBSZbV\nnsF5oozhaaBkTIvFEwsINw0h9LeUBKK5LgUWXPY7IghHhbxzcaVjDEGb+44KOiGQWIEk30ASTiXh\nsCAjFEHud8KlliM4j+TelwA1LWxLSC+GBkso8xzuUw4JNzmPB1YtqlkaPMfzwOeJKAFBwo3k0WBS\nUYhPL6/balg6So+QFA1J9BDguiBeoJZil8ODpm1oXKzIEGJK1kCQ9HjfEX2v3VFJdCHdphOF95MT\nhe2Wk282NzWe4+ZNRxLubGqRz4D0/sU8RhgTMRu7vi1YmtvLa3vz5u2RdqEzviGtHya6eWWOpI97\nW2FCRw5uHplJRiONzDvkkstDiNybTPXzgt/gbUhwkW2shVYB8WX5PAfHqhZub79LRMvy2Wsb60RE\ntL6uRM9qXz9P+a1uIUFowe6iuA0EGrzBe11H8HRhph503HYbzl0DUjrhEtTzQxw3d54SEmYwuaPF\nySz9nqIAIZpWOpAMBPvIZFuAu++Qa/y98abOdncPdWYT5Z1+W2fvDo9LCKJ6Ndxz0fbDcttxLdfV\nNDX6eUQqr40TnmW3YgDJPhEX+6hBWr0GZSPi5y2GQhY050IikLhzdftKs3185Fy0+1D6PGLoFkRw\nb3uAvlhl55jTxomIPrfv9l+DZ2h3W+W1N1edDPtKV5+3+cxd45STgvBZepz5Gd+bt0to/ofvzdsl\ntCdCfdba+1VoeoGI/isi+t/pKSvpWEtUMnMn+dcoey3JHSKsSEQ0R6Ua9uuOJ5onP5lxtB8IGU6G\n6jeX8tdYuy1oM+QCf/UIfLAH+86HK4QJEZFhoqm/pmSM+M1NABFmtS4fBm23fGiBis2MYxBS8Ft3\nAlTJkTps+nmflVkyICCnQIyFTOqtbai/WpYuOcDc4yOFt0cnDmLOIZ6AKgcrs0CvMQW1lwWTlPcf\n6nHucgTb4Uj7s7CnwwpnQKZFrJzTgpR3rM4jYpsWxihM3DKkAuLQguClkHqYRBUy7ofcGEoCkWhX\nKB+H2reUZbXHcO8lum53+1bT9vLHdfvr33DLwLVDJQRHh6w9C0stLPt940PXiIhoFUqOz6cj3ve+\n9heEN9ssv10BKT1rSD16KjuP2Oar1tpPWWs/RUQ/SERTIvoN8pV0vHl7Zu1pof5niOhb1tq3yVfS\n8ebtmbWnZfU/S0R/l7efupKOtZZypmXFZ4xJIIJX6iVfJPiHWZTywZGuKIYMPycLhWtjgO1t0TcH\naNzn3PvOujKmRw/1mCP2q6P3wDKlPcHkDobgJal/tyoU6tcDx5hnEJY5Hbm+9db0GgOsLTBz54xg\nGbLGlVNaEH5bQ+mZtOuOfzjW5c4fvv51IiI6AVmv1YFe727P7TPoA4PPmBglr0LIZZ9xoc7hVGGy\n6bhrBAkE+tKrmqveZ3jaBXZ7q+3Os7upMLcNkllVzhWV4NGQUuQLECY1AYRzs/fGgCfAsM++LLRz\nEd+/xVSXiyWIdqZrbrlU1XqehJ/VnW19xNc3N3Wf+27pk6zo9QRT59k42NPQ37vHEL7LNSLacE93\nNt197iZ6nxalLjkmnCg2z3UJVLBMncivoZTa4+zcMz5La/9pIvo/3/vZeSvpDEFHzps3b989e5oZ\n/18hoj+01sor7Kkr6bywu2ErTtqQqjgBqI1oCqfujzP1nInBFH3cKauStHWWMpDO2eLqJOjHD9l/\nv7KqZNhirm/R6cjNnB3kqJgsS+GtLhFs+QJUVFKYvZm4tOCjrgtJdEE1HBDoZLIyhii9zXUXyRWD\nMGNYozKRmxXyXGfizQ03e/RKfbcPYMYfcHMKM2TE/ajAWR7CzRBJ9ALq9iWcbLK+qfEAm/uw3XfI\nIgRxy7W2O2e/o0ioB8o6xcR9dwYRdQnmIbNhspCkBePsk3D0XAa611sbbiw7UN1oBpGeu7suNqNT\nKyLosOT2+qqSnkmqz9P151ySzhTIyHucWotJOONKZ+9bn3jRXSugypo/b0FsxVZrvdnOGHVKZCkR\nUb/vxmDEFaOwfuLj7GnW+D9HCvOJfCUdb96eWTvXD98Y0yGinySivw/Nf5mIftIY8xoR/Uv8f2/e\nvD0Ddt5KOhMiWn9P2wE9ZSUdtyOH7NanZWMkJDQBuJyBdrqNHJTahPfVlMme0QRylFcGzbaEfXY7\nUACToX4KWR7rKwqDZxz+ayGkVMoztwGCZ+yjbgH06oDaS1vCgEGRJuOqOykUd0RCJuP92yko1vCY\nJW09jwGSMRV/NSThXOe/FqA8ZrVYXoYEQKQ2GvAAWQ34oRNe2iSQKNPmc/ZL8IXfVNFJqViTRrqs\n6nGhR6laQ0SU4T1N3TLm4AR8/9y1FqjPQF4WVaxYVGGZbK520zLa3x6Pe9rS45Tg+1/n5KdsVRNl\nBhxqm6YaKptXEP7MufnXrqgCT8DnHHX0uUK9/OtbW0REtPKiHlOkHBIQfg0rKI0+cfEpCYZe8xL2\nmEOnwzOWRGeZj9zz5u0S2nehko5ETjGRBzOXpFxiOecSZt2cpOw0lEfmkthZom/w1qa+RUOO2IPJ\nhTJ+60dALG7DPp22+/zgQF18k4kjYdqZ7rPSc0Rfr6vnHvRh9udEHGNgNmTCKQZyCLfNxEXChaBY\nI0I0qI/XhjTjFs9sSzLRTIqiYxQC3cgy4YWJMKJ7V2FtPFC0yRjB9FoYnejGqpUqibXRgooy/HdJ\nFpsvqJwrQWmBIB0zUXUwVOKrvelmyA4QnAbcWiNxe4Hkdpej8Hpw81c4XDBC0gzHteX2vw/k3vq6\nQ5AJJHWVFczKfG2rgDQzvj8nfSWDZ+DzDAImPUPQz0tEXrtpIgORq3XgZn9MPZZKPDLzB99pd543\nb97++Jj/4XvzdgntgqE+USG56Vb8+Sjm6KBmDeoyERBSUmgwAWKs2+dqNeDvX5QKIcUvngLp0+s7\noimG5QEKa4r0dKuFRNJpMkwUcZIE/MngSJ5yBGAYqj+6zco3KRa9hLiEKScYzU4UFs4LiajTg7dT\nzO3mktegKVDz8gODIGtIcJE4gspq3yRJpKzRPw5FQvle9MD/HvGSZGVNybvVFf0859gLVCnKGeJP\nQWppBn7+Q66ONAMxTlEPakNmT1Dqc3C/5Fx4q20tJl9TWPBEDJNXutrHtbZuz3M3/sVMfe6rPeen\nT7A0NgqBcqxDAMlJXSYwu1e2mrYcllAx+/kzVFXi+1PM9N7nEFMhCUrBUmArL9lk6efltb158/Yo\n8z98b94uoV2s2KYlsrXosJ8utth0KkDfvnZRkllK6PaCE0qGCw1XzcGnHEcOIm5saoLFyoZjX/sY\nfgsQ6eiQa7qDnFfIHocIdP5jZsTNkpAkVMDhfiQD0LPn/PYE4H0YoXCm60cGPvvZsYPBFYSwBqHC\n04T3j4BZD2RpAyxvBXBbClJidZemwA1AfcjxoYDlvkIQ9ZTQa1srm94Cr0zCuHRugMEX+ArhwFg8\ncsqenxTgeMIelDbm8Hd0KSbBuksVhngZUoMU2+Sh0yGI5+rFibsasrt/8DZ3SMdqwNV3gqXCqzCW\n7A2pIbBARgN98uitiuSeoaeFlwIVHJuWagfIX5Cr4+WQhH2fz4vvZ3xv3i6lXSy5R5aKWsg4VuCB\n9FJ5++ELr4ZS1jNmznKYuUZMSB1Cqi6Bfz5l5ZZ3cs0heu0dp3DSgZTUXltnsYikQg6kgHLfMpjt\n0qZ0tvYnjXRWTjnLJwYirxIiLtXZKgBSLmrCF7WNSjcjVTNI/01AEpqVKC2QYUacwRD5WIL/dzxy\n5NV4iCnFLBAJsRUVigvx7LUkic4IZww+97gPyIPnIAuRbhXn20J3aDbTE00WHIm4rX7xsOO2DaIR\nzObiG2QhCk/UnqZA9gasBGTmoOL0EM7N6bS3Xv5o07bOyVwW0NxioipPC1boWUwAIfIQtVt6H0NI\nwc0Y+WGCVi3RhyC3jkKtoloVA6yR34IA5/MK8fgZ35u3S2j+h+/N2yW0C4X6VV3TiENfLb9zMPSx\n+R5gwAJz89mPmQOJcsICh1OAwRQphB9zO4arSvHNoyNtjCFne2Pd5V1jiKaU+alBmLFeuH3QdYpF\nNbtMTiU9TfjI2W9bZwqHQ1gKLDjuIITlSsZxAmWuvuXFFMM/3TErgOABE2QFJAhNxgpPT4YOlpYA\nDrNGhBTKZENIb8XhzzVAzfFIyj3reQKIFxD9/hzKfi+mbgznILR6NIS6CCy2Ggcw/pkj97AgKlZP\nkuQUTFKZc3nyEoqslryMmI3hwQIyuCNjAONS8lIuAtHU4ZEKa54M3TKzAIHOJJZEMF2u1ECAGial\nDcSXWNaRQKhfLdUb4PDzFCom8ZJOlhFYFv1x5md8b94uoV3ojF/Xlkb8lm9xpBHWQpMkEayeU4ML\npWZicDxWF9Qxkyw1uLIIJKFFtadYqtPG5BGk0EZtde/MuN2i24pLXucgH1by27aVYKKR9lfISBvr\neSyn8M7h7b8C/RhxLTTsW3/g+pYDeTQH3TuJ3KsgTC/n6jAT2KeAhJsxq9wMIUKNpKw0jB9GPAqB\ndHyo41/wTD7ClF+YlVck3Rn6NuNzDidQEQmq2VzZ2SAiomBVde1qjlSczXWf6QwSdqzIqIOiEyOC\nABDkiPc/KvS6u1ChaGXDuX1fe0srAw35OFsbmthzBBLjBR+/CwpHvY5DKK0MNBihfLiUUJ+XUNeP\n3XQFkJGLXJ83w+itnIP8/MwdM+Dr9uSeN2/eHmn+h+/N2yW0c0F9Y8x/TET/Ljkk8RUi+otEtEtE\nv0JOmecLRPTnrbX5Iw9CLjd8xv7ckCPK0gjkqhmKVlhkMlfYP2bYMwSyJm5xTvzOc01bmSlsn0wd\npJtBdZ05w/WqBr9qR4UU++sO7hks6siJQfNDLXI4LrgfBsQpIV+/YqJpYUFhp+v6WwIkLbCsNAcx\nWIC+LRa07Hbh2Mc6BhX3Iwe/9pjHaDgGiXCA7TkvSWIQgzxhFZfhMchRQ1BFzKQfioeKkg2Kph7j\n8oLhbYIRahyldzzGstE6Rrc+9mEiIrrbVqg/ESFWUKQpy6WwNyIiakECVy3QGK5hys8Qko0Zop0E\nsQAACaVJREFUJGMVKRNoXT3OtOaClLE+i9dvXWu2uz3n508hklDUnVAAqQQScXzijjWHhJxQ4keQ\n3IbkJWJCsFjAko2vI+W4kBqWWY+zJ874xpirRPQfEtEPWWs/Ti4a8bNE9FeI6K9aaz9EREdE9PPn\nOqM3b96+63ZeqB8RUcsYExFRm4juEdFPENGv8+e+ko43b8+QPRHqW2vvGGP+ByJ6h4hmRPSPyUH7\nY2ubBOPbRHT1EYfQY5mA6v+/vfP7jeuo4vjn7C+vvfbueu3ETuqUuKSAIqE2FaKtWiRUQJQK8cQL\n4k/gofyQoBEPFf8AggeEhKh4QAghoIIqDyAIfQ6UH4K2iZs0qWqH2I43iX/s2mt7d3iYszsnNK3X\nib3ezc5Xsrw7d++dmTt37pw5P76nqSnXYJRk2spCKgoZ6d94erKt76lcLsR+Z4a9nXSVoD2dmw3i\n+Mqyal9t0kZ1Ix0wbrE3r4VzapqRJm3s+AUV/TLWlVZ3NjbP+7CRaSeVpHHI2JaHVQM/PBFu17Zx\nS66ojbZhMsY01I48NBzqzhqqqpqeXzNicOuzyRiZMP4CqP9Ewtimx9SG7Yz2P2l8dpMqRm6vGTuz\nWl0MfT/OjF9Nz0+bNaaZ2LJqbPfjhhthoKLZlizZqQYlbayFtm1UjNiv9Yi5102TdsMEKok+fzmz\nxawby9HFyz6u//HHT7XKTn7Ec+CPG2qtwkh4BpOqud+sW04IJYE12Y22NkJ/E7pdsttJp9sikXDP\nU4kwzqLTbSgX5kzp0CQAC4sfmK/2PWhH1B/F58mbBo4COeDZdiuwmXTWDcdaRETEwaEd5d5ngSvO\nuesAIvIy8BRQFJGUrvpTwNU7nWwz6RweLboNZbJRlmnS6fDGy+pqmTXN2jCue6IeavatXlGb8KrJ\ndZYrBU+5/Li3CZsYHDbUVt5UisHtIaCDGjK7vhICOVbKngRzdDhIAVlte8Yo9zJGm5NUUtCGIYis\nqbQxaCyuGaNcanrA1Y1Ss5Ly7czng8JpxCjlGlXN2GM8vpoUzFtGMmiY/k5MHdO6wzWbAlzV2PYb\nJlw2rxJBxigrywveg+2tmQutsrRhJBov+JUxZ/rYzEtnA6sOHw+raUXDocubYdBK2RMArFasP0BQ\nDrY84bbsWGjfjG9FTf0n8iaQ6HAxPC9vzFwBYP5KsOM/oCHS22ZVXTBsPHWlzV6uhvbcuuXvy6bx\nOyialNjTH37It6MYJIdmqO+mIRFNmXq21v19K98KXoPjw16RHYLZ2rPkt7PHfxd4QkSGxPsDfgZ4\nE3gV+LL+JmbSiYjoIew48Z1z5/BKvH/gTXkJ/Ar+HeCbInIJb9J7aR/bGRERsYdoN5POi8CL/1d8\nGfjk7qpr4PWDUN/y75zrZcNfrtljMta2nzCsM01SGaOsGVZ32ETCiKyDQaRaUdLKqnG1Xdf46aQR\nWRPGpl9SV9GxyaOtssqSj+EfNEE6WVW8ZEyGlMxY8AdIjE/7Nh57tFWWH/HHU6nQ3u16UAA1PV+l\nHtqzooEwpUIQl9OGV7+htvrNWrhORskpiybzzNKN4Muw+M7b/vjhYCsf0zTQI4Ug+t6+VVC2o8Wg\nCJ2bnfX/r863yh48GlxbN2u+znI91H353f8C8J+FG62yRz71dOtz6YGPA7CwYphmVOObdkE0HhgI\n18wXvKg7NBK2KQm1bVdN8FJZFWySDeL/RDY8BydOHAeCMhcgpS7Z2yYev7qy1Pq8VvEiftXE6A/p\n3nLKkG0WTJrt/Kjf2gyaZK519TtIpI1CNhe2Nqv6nG0aH49E2rez3uQ9aJODJ3ruRUT0IToapJNJ\nJniw6N/CgwW/KlTXwxstl/Rv67RRxohpYpPzrWZZYZRhZtusdnVjImmajtLGMyytJrNs2qyahqlm\nQM07Q0axMjTqlYSYVNRpNODIvKFL+eDRNTLoc8ilXXirN6oaWpwIK9OWWfEz+gZP5Qzl9rKXVtZM\nv7OGy21b254aDEEiSQ37zdqAm2KQRparyupjzIZrZa80Si4HJVVtw6Qp13Damwthxa+oNHLIXLvY\nvFcEnsDyzXDNpbK/TjYRpJGF+VBPZcOvpvVUOL6hqbXneC+7D8DYpD++3jAejau+znXzwLRCXrcM\nX58xNk3mvbSTN/d/RFmc8saUK4ZivFrzEua6WYnzo34ssoUgfSaHTMYkjRO3KcnrSnCYMGHR26bt\n6zd0fmwaU6SGnbf0y21G6cQVPyKiDxEnfkREH0KcazeCdw8qE7kOVIClnX7bQxgn9qdbcT/1Bdrr\nz4ecc4d2+E1nJz6AiLzmnPtERyvdR8T+dC/up77A3vYnivoREX2IOPEjIvoQBzHxf3IAde4nYn+6\nF/dTX2AP+9PxPX5ERMTBI4r6ERF9iI5OfBF5VkRmROSSiLzQybrvFSJyTEReFZE3ReQNEXley0si\n8icRuaj/R3e6VjdBRJIi8k8ROaPfp0XknI7Rr0Qks9M1ugUiUhSR34jIBRE5LyJP9vL4iMg39Fl7\nXUR+KSLZvRqfjk18EUkCPwK+AJwEviIiJz/4rK7CNvAt59xJ4Anga9r+F4CzzrmHgbP6vZfwPHDe\nfO9lLsUfAn9wzn0MeATfr54cn33nunTOdeQPeBL4o/l+Gjjdqfr3oT+/Bz4HzABHtOwIMHPQbdtF\nH6bwk+EZ4Aw+vfoSkLrTmHXzH1AArqB6K1Pek+ODp7KbBUr4mJozwOf3anw6Keo3O9JEWzx93QgR\nOQ6cAs4BE865a3poHph4n9O6ET8Avg2tqKYx7oJLsUswDVwHfqZbl5+KSI4eHR/n3FWgyXV5DVjm\nLrku74So3NslRGQY+C3wdefcij3m/Gu4J8wkIvJFYNE59/eDbsseIQU8BvzYOXcK7xp+m1jfY+Nz\nT1yXO6GTE/8qcMx8f1+evm6FiKTxk/4XzrmXtXhBRI7o8SPA4kG1b5d4CviSiLyDT4zyDH6PXFQa\ndeitMZoD5pxnjALPGvUYvTs+La5L59wWcBvXpf7mrsenkxP/b8DDqpXM4BUVr3Sw/nuC8g2+BJx3\nzn3fHHoFzzkIPcQ96Jw77Zybcs4dx4/FX5xzX6VHuRSdc/PArIh8VIua3JA9OT7sN9dlhxUWzwFv\nAW8D3z1oBcou2/40Xkz8N/Av/XsOvy8+C1wE/gyUDrqtd9G3TwNn9PNDwF+BS8CvgYGDbt8u+vEo\n8JqO0e+A0V4eH+B7wAXgdeDnwMBejU/03IuI6ENE5V5ERB8iTvyIiD5EnPgREX2IOPEjIvoQceJH\nRPQh4sSPiOhDxIkfEdGHiBM/IqIP8T/KuOXFM1XWqgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dacdbd5f8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 10810... Discriminator Loss: 1.4244... Generator Loss: 0.7810\n",
"Epoch 1/1-Step 10820... Discriminator Loss: 1.3106... Generator Loss: 1.0429\n",
"Epoch 1/1-Step 10830... Discriminator Loss: 1.3927... Generator Loss: 0.8113\n",
"Epoch 1/1-Step 10840... Discriminator Loss: 1.3475... Generator Loss: 0.7938\n",
"Epoch 1/1-Step 10850... Discriminator Loss: 1.4264... Generator Loss: 0.6428\n",
"Epoch 1/1-Step 10860... Discriminator Loss: 1.5916... Generator Loss: 0.4819\n",
"Epoch 1/1-Step 10870... Discriminator Loss: 1.3360... Generator Loss: 0.7638\n",
"Epoch 1/1-Step 10880... Discriminator Loss: 1.4117... Generator Loss: 1.1296\n",
"Epoch 1/1-Step 10890... Discriminator Loss: 1.3386... Generator Loss: 0.8863\n",
"Epoch 1/1-Step 10900... Discriminator Loss: 1.2954... Generator Loss: 0.6318\n"
]
},
{
"data": {
"image/png": 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jGEiJ9BR654WJnsdU1JkqkII5lTbk2lDmWxjOM6yy+A+J6O9aa/+RrN6RLjr0\nQd10vHnz9t1lp2H1DRH9bSJ6zVr738NHvpuON28fUTsN1P8hIvo3iOhlY8zXZN1/Qt9EN53AGEpF\nJHJaSlhDwY1k3OUAFccAaV3IsxgDqSPTghoQOI2aQtXVDsfqc4CSSUWIr4rCvabRTLpFJqomkDVV\nSHw0h2lI5qYmORZa6PUWktVmIRYeSVlpCIUwAWmcuVHj8x0CLHfgrQ9E0BimAiPXnQiy4wrpVjNZ\naiWt51YXZZiooit7QiLuHDws1+XQHaZZkaIjgMn1Lu+n11foOwdxy4kUzfSB9JwJLLePUYuJZMqS\nYAmu5CBgphvU/dBUpmB39jVf4NKGtLcGdSXX3y4AohNj5cc9d57Q4UmyQz/2/AvlOgjpUyyKOc2m\nliZLx3FaQEbiHE7eFRhl8BNcyDXOcAoE99lKLkkN+jOOZVyNdGsqHpMb8V47Dav/e/T4ttu+m443\nbx9B8ym73rydQzvT+FoQGKpL/LMQpjoH2jmQAp4YCiQImOqZsJoZdFBxqbQIWaEBDrUlLbfT1Hhq\nRaYFAcDtDOrOByOGziNI/TVS6GFBCJGkjt4GCuFQUcitRfHPXPY5L7A4RnfZlIaTeI2uueQcio9m\ngHMzOSbC/6lLbYU4fK2iUwo3xJ22xt8vXWbBzOlMrxuLZ1zKaprpCbtvHk8V6o9nEOWQOvkZtKpe\n5BgBYAvgPseSRwCrKH8UWW1PLvYmeu6u38Ei04iCNevuYvQcYecDiZwsIJqUSR5Gq6kCnfUKCL7K\neS4gL8RNkQZTXRdOcOoiqdl4kRJVCUinrTOY6tbrfP82tlXxyYhGwETY/cdNn95r3uN783YO7cyL\ndBJ5m6eOBYM3XhBKVh+8yqvgpVzZ7gxj+25zIJRGR6BZdshv/Sm0yV5ZYRIGalaWSLBj8RpQe0NN\n8YxVKHqxQvQV4IktejNHDs6hJFX2HdShrBP26ZZroCu4kGuL4T09g0y40HlI7M4jTgN70qFXzQQR\njCG/IaixF6uCRHUBOQaFoLP5QreZDZhMszAGKZa0ClGKBSoLycDEIpwQ4t3OgxZAmuan9GRzkOU5\n6PFzkBeYC8KfG0B7xz1FKG+/xe3DIxirqozhMbjJtVXQ0pOxnoI+nnt2wqpmaIYhljjzRpj+4o5Z\nQAFWDiguknthoLw3afJz6Q59ysQ97/G9eTuP5n/43rydQztbqE9EoZBjkaTVYmqka8qIhTAh1Be7\n4o8mdEGfZ/43AAAgAElEQVQ52OOU0d2DvXLdxS0tG7h+9bpso9LIVqAxhOmpAUMxvnmXiIge3lf5\nZ5fO2gViZSpkzRjyCjA1uHBQVhEgkZBlCRSyxCAT7YQuc0iVXQgMrgIBOYX21m68qlD4U5dmimNI\nRb7/rrZ5TuSdX48056GfMuStdBTGhjWNGZOk0PahM9DDXW4kCVqm1F3RsU6kGGv+9r1ynWsBjkRo\nDDDYCom7gLi3PWX7Z5wRjPsyZYMGmelFERQFnzcd6PXs7XCHmw1oab2yxXC6DjX4rYZOh4zcUwvd\ngvYPOJF1CuKg9ZZO79bXeIwwvXwkik1HezotncHUsZbyGD2EtORAUnWTFf1NnMa8x/fm7RzamXr8\nMAhoRby1e+MMQUduJhlWBli1ea5v1oq89VuQmde+LC2M3wWyCzxJu8NhvK11lYTui372DEKJEyhW\ncTp0jbaGAGsNfrNOZ0oc7u4zytg91DKFBPr6Gddwo677cYordeipFkd67PUmrx/F4N0lBBiABxxD\na26XvRhAz8GaoJoOIJQEvOFMCly2Nq+U6zpr3O8thgYTOfiGhZQhJwl4HEEuNlJYkxWACEQR5/be\n7XKdkfBntJTRiOpA8kzA+TYQebyPIbc1l+y8DOBIJmOYg25dAzI4P/sCN0zZht55RsjMg3vaJvsb\ndxQ9pSmPQS2F8Zfsuo0VfX5XIOMulEAoItpMrjsD8q7R0Xvx9Mc/RUREq0AYViuS6SkhWE/uefPm\n7bHmf/jevJ1DO1uoH0bUbAn0LKTLSQwx7govW8hqC6Am3glvJpDVVhGoeXljtVx3NNRCjVdffYmI\niPqrStRNRMWl0WzrcVCMU0iaGAi2FYHeFsQeOwKnN4HoSUHAcyJQswrknbu0bg1qzWOdukzXeEpS\nHyjB4+LmSaDXHUL8d/+A9VAqRmF9mPF5RECUdjvQFrws6lDYngskjgol93D6QALhjdVzS2OXKQd5\nFFDfPnnAZFkOBUapVAvl2CocMKprlx7DVKDd5KnW/d6Lej72NV0WyIxFPIei7vTynQflus4KE3WX\n1rTNeDOEjklVvi9mfFCuM5J3sFrXnIbJUM9N6s4ImjGV2Zz1EFq2QzFQPpL1kGmYyqp1yBDMgK0c\n3meFnwRSPU2Xc1IyuQZbfAvr8b158/Yvlvkfvjdv59DMadvqfivsUrdh//Kf+yQREc2lhnwKqZwz\nYSZjSKfcXlfY+fQ1ZqBXutCWWgpHCii0CGKFQg7CR9BlJghdGqlCr71drUE/ODqQ81FYn0rDzjrA\nsPULnC/QxvRNTNGU1NWVjafKdUmNt5nP9Xz39hWK/rW/+s+IiOiNu3fLdUOpk08g1l1JdXljlacs\n9boee9Tn6c69B8qmHx4qrK9IgdH2ik5NrqzzlOXiqk5d1uHzqsiCJcBej0c8RjfvKuP95h3NqXjr\nIedZHA5OCmsilF9r63TnhSsMw7c3NB+jucH6/e+89m657uGxTikeHPL1HsOUYihRiBzgr4uq5DBd\nxBp2J+2FzVzd5yiHhr8aF0TCNF/Xtv1k1wLZpxwng5XuEc7gfLH3gJU9YKpzTZ719RY/l3ePjmm6\nWOBhH2ne43vzdg7tbGVvbU4044yzpggUdpuazeReVGtd9TiXL2yVy5ub7AFCkIwuRC6ZAuiMAqSd\ne3li+a+T0q40tSS12VKP09rhfd25p95ybtmzTSHHoNeTNtmhep6G0bhruJCCEKOeK5HijKiq19gC\nlZuDHqOegwGoDAk6iiGL6wgItOGMEcFqVxVg+gfc721/X71vBi2kt0Q55/K2XveFVR7L1bo6jK01\n9e4NKRlOsYBoxsuXthUJfepjG+XyG2/zGL70mmbuPTzma5sDSpvO9HpfFbRTaQDpFvK92t3VnIn7\nkHF3LFUqAyjgGkv+A3YlcouIdNGDOqntCNa5AiFUMIrBu6/VnYw39OgT7zyGoiH05FO59jG4fKfQ\ns9RGULnZMivREm7DXz4cj+QY2LXp8XYazb2KMeYPjTF/LJ10/gtZf90Y8yVjzFvGmF83Bsq4vHnz\n9l1tp4H6MyL6M9baTxPRZ4joC8aYzxPRf0tEf9Va+wwRHRHRL377TtObN2/fSjuN5p4lIlcREss/\nS0R/hoj+oqz/NSL6z4nob7zfvrK8oD0p8IhFsPH6pkLETUmRvXhBoeIKKMSkTuEwB0gVSLwaFFES\nbEEtab4G2ho7VRkLsMikCsm665yuuQA4eDhk6DyDWvTxlIclhEaZNtIYdyQx3OkAlFs6nBYbxprG\nG0PTxqO+m1IAwSNThgxyGgzgwcmI1x/lR+W6g12O+RZAYH7mOSUZv/DDHyciovWukoSSlbzU+CSG\n9GfXzQahfiS16gZ8yEpdz2NNpnIfe0rzLG7dZ7j+R68pqfn6HZ263Nnl5acv6fU2ZYq1C8VJu1As\n5IZrBH0NnOhn8YguPUvkHQgzLOSZAB6vbETZBJ2BSyv6PP3gM0zupqDENF/w8kMgNYcLfcYeSDci\nCwo9VqajmcHpwUktfrvUQp2/63JGThnGP7WufigKu7tE9NtE9DYRHVvr+vbQXeK2Wo/a9peMMS8Z\nY17C+Y43b96+c3Yqcs9amxPRZ4wxHSL6TSL62GkPgJ10ttpVG0lIaP0CE1Hrly+X323V+C2aNqCE\n1qg3nOe8bRTouljaGkcpFMck+nkgGU0htEp2LE22ADlqq2/zuJB20G3UtZNef+PDct10zgU7x+B5\nFlYRQRqz90nuaoZZUuXrrqx8jx4bvEtS4WuvKiCgwRGTXTl0WImgTDWQ23gIpclzIbm+79lny3W/\n8K/++XJ5W0g9YwFFiDoNKsWgZ3RphwkU1MSB8/hwDanev2aHx2N1Tf3ClSvs0Z96WrMpf+P/+Hq5\n/H9/g8OOb9zX8GNykT39ALwmKiQt5AyW2n6X7bZhrNz5wroc1JscgYbl4i15Zn/mczqWP/4vfbJc\n3uzyWM4hq9PJdO8cajHVnSPNKH3lLoeM39lTpHM4ZjLSQC9FCzXdC+fVIQTuZKTKdtvfjiIda+0x\nEf0uEf0AEXWMU6AkukRE9x67oTdv3r6r7DSs/rp4ejLGVInox4joNeIXwE/L13wnHW/ePkJ2Gqi/\nTUS/Zli1MSCi37DW/mNjzKtE9PeNMf8VEX2VuM3W+x8sDGilzZB8TdoqY0ZdVMJxjd8WsOwKRkIg\n6tw2ERBkQQJ1z7L/IIZiE4F7FoozsNbdyHKcKEmYSDFRmmDdOS8f9pTMmgCZVq1Km2yo9c/t7xMR\n0fZzSlpmgcbft7evEhHRfqEtl0cDzoqzGQhSQgtpJ6k8miiU3Gox3P7XfvzHynXPPqtwOzAniS/X\nPhy9gSGMd4tyDsSwyyRLKCaJQhjrBd+LJIJpypTv1ZVtvYY//XmFt3/w5h8QEdH9fSXyWrc5s3K2\nwCw7PYwD6wXMTYwboyX1HtclCchTKGRy17tW1WfsP/zC54mI6Gf+4hfKdbWmPmOFaEpkILY5kTyL\ni4da7HMJlrc7fP9fu6/r3thhYvjdQ71uE+q4jURHYg71+o7jLQnrU2L907D6Xydujf3e9e8Q0fef\n6ijevHn7rjKfsuvN2zm0M03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hnSnUN2QpChl6D8YMX/NAoc5cYrVzKHQxU50K1F18twEx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\nmWpSFP6QydjzY/98RSMAa2SiZ3Sr0Elbhi5W1tHxZyI0ipngSE4m96L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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da472b630>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 10910... Discriminator Loss: 1.3890... Generator Loss: 0.6359\n",
"Epoch 1/1-Step 10920... Discriminator Loss: 1.3991... Generator Loss: 0.7678\n",
"Epoch 1/1-Step 10930... Discriminator Loss: 1.2430... Generator Loss: 1.0111\n",
"Epoch 1/1-Step 10940... Discriminator Loss: 1.4026... Generator Loss: 0.8312\n",
"Epoch 1/1-Step 10950... Discriminator Loss: 1.4150... Generator Loss: 0.7696\n",
"Epoch 1/1-Step 10960... Discriminator Loss: 1.4728... Generator Loss: 0.5662\n",
"Epoch 1/1-Step 10970... Discriminator Loss: 1.4131... Generator Loss: 0.8603\n",
"Epoch 1/1-Step 10980... Discriminator Loss: 1.3735... Generator Loss: 0.7989\n",
"Epoch 1/1-Step 10990... Discriminator Loss: 1.4215... Generator Loss: 0.7640\n",
"Epoch 1/1-Step 11000... Discriminator Loss: 1.3377... Generator Loss: 0.8408\n"
]
},
{
"data": {
"image/png": 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Zdbe3IOe8p+G8SMpCw0Tf9InsMsr07yxc7lzIvSmEJF0xhAUln9n+gJHMd/yd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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1dac5296d8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 11010... Discriminator Loss: 1.4131... Generator Loss: 0.8705\n",
"Epoch 1/1-Step 11020... Discriminator Loss: 1.6240... Generator Loss: 0.8889\n",
"Epoch 1/1-Step 11030... Discriminator Loss: 1.2515... Generator Loss: 0.8264\n",
"Epoch 1/1-Step 11040... Discriminator Loss: 1.3354... Generator Loss: 0.6601\n",
"Epoch 1/1-Step 11050... Discriminator Loss: 1.3464... Generator Loss: 0.8474\n",
"Epoch 1/1-Step 11060... Discriminator Loss: 1.2523... Generator Loss: 0.9518\n",
"Epoch 1/1-Step 11070... Discriminator Loss: 1.2608... Generator Loss: 0.6950\n",
"Epoch 1/1-Step 11080... Discriminator Loss: 1.2128... Generator Loss: 0.8864\n",
"Epoch 1/1-Step 11090... Discriminator Loss: 1.3931... Generator Loss: 0.9828\n",
"Epoch 1/1-Step 11100... Discriminator Loss: 1.3821... Generator Loss: 0.8715\n"
]
},
{
"data": {
"image/png": 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/lQtWSoVkfvT/SGv9G7x6l7vo0Lt103HmzNl3l52G1VdE9HeJ6FWt9V+Hj1w3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\n2rxr4vYvvmr+HvcFtty4Ygo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mP+flYiL7HHDmZKfJ5bkntI4ebs7jO3N2Ds398J05O4d2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\nkcfe1BKQREQTIDOJC6YCQBaB5nAqyESPx6AxyGFSDYjLJi1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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da465ae48>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 11110... Discriminator Loss: 1.4582... Generator Loss: 1.0099\n",
"Epoch 1/1-Step 11120... Discriminator Loss: 1.4083... Generator Loss: 0.7510\n",
"Epoch 1/1-Step 11130... Discriminator Loss: 1.4243... Generator Loss: 0.9778\n",
"Epoch 1/1-Step 11140... Discriminator Loss: 1.3653... Generator Loss: 0.8567\n",
"Epoch 1/1-Step 11150... Discriminator Loss: 1.2807... Generator Loss: 0.9424\n",
"Epoch 1/1-Step 11160... Discriminator Loss: 1.5374... Generator Loss: 0.9249\n",
"Epoch 1/1-Step 11170... Discriminator Loss: 1.2315... Generator Loss: 0.7423\n",
"Epoch 1/1-Step 11180... Discriminator Loss: 1.5830... Generator Loss: 0.7148\n",
"Epoch 1/1-Step 11190... Discriminator Loss: 1.3675... Generator Loss: 0.9009\n",
"Epoch 1/1-Step 11200... Discriminator Loss: 1.3814... Generator Loss: 0.6984\n"
]
},
{
"data": {
"image/png": 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R/eK7HcsYQ2VX/BCYYh+cjIhma5jnawq56tJQoNIEcUQh0GIQQsS66ajEpFMQQjYaMXSz\nOcZyYZxFl5MZDEhERDmkZ2WiIJMBnIaaliIO3WhrHLkm8fXdQyCpcszu4usNAVaWhawMRvodJEBD\nWbokUJ/eFbILG0OgBoARiB9VdRkSyBwa5DSPEcnEyXIKPL2u1uMPD5TIG4v45cKKklQ1kaMOx5jN\nhw1E7NtPU5BWKagzJbDtyDhs5uFENJs1vfetQPQZ6rA0BKlsV2hjZyTEg5nPiIjMMaQ0MmuOKDVG\n72MYIQyX7ERY7oSy1MKGJfWGPtdt0ZSoDTV7NBnyvLk6/JN2xPtmyb0Va61rT7JBRCvv9MfevHn7\nzrL3TO5Za61B4ba3mTHmM0T0GSJtbuHNm7dvr32zP/xNY8yatfahMWaNiLYe9YfYSadRK9lamU+J\n4ouFya4W9FErAeX61g5DnI2+wteLAjWfqin8rwJ0I4lxmxLsc11oZopEjqaHJlNljQd7zEp3t/RS\np64GGrrrTIE5PxCRRyziqUg+wUwqLDaMdCm74dGU3cwqLIxiXHLwfPSnoE0v7+IS6XemPT1P9z5/\nvg8FISsiQYWFOzhHE4kfb2/qHNy7e5f37alo6nSMbDtv70NxjRPjfLeCEvzcuv50MNeo+Z85sUmI\nr3c6LuKj3xlKGzccb7WlKd4VKebKAJZPpzJ2SOMNZhpbuugOLD2K/Aj9u3Sqcz0a8tJo2NMlUk/q\n8LsDXdJF8OwsypJxd6SFOzvSpQmyBU5k36wL/l0i+juy/XeI6H//Jo/jzZu3b4O9q8c3xvwzYiJv\n0Rhzj4j+HhH9fSL6LWPMzxHRXSL66ZOcLM8t9aWYAno767nk3/mmEi81zISTeGoNlGS6O/w2/tOd\nItpIz25rzPj5D3HBSOe8tvkLq47A0bFNhiDLfJ+FQN9843axbzrhP14T+WUiovk1LnPFxK/N7e1i\neyCZVpgF5mLc6K0qcI0OeaBEdS4kVg6EU7miczCUTjqjgZJ7gRwzBXQ02VKRzGqVY8LLHVUHGkvx\nzPnLMFeQT7C7xd95CEVHQycMCSWrMfSY60vHoBSQUFlQGHVR/JOOGvKK8j8hoIAYO/EUhKDuc+Re\nONHv3Ntjr3pzU+filTt6z65f4Hv/wQ89p8dZ5kxELOrKoTDLiief9NUTd0WE9K27D4p9dx9s6gWF\nboxaNr0kMfsI5rIGJO9Si69nb6RZkgMpQxaO75gG5sfbSVj9n33ER5864Tm8efP2HWaebfPm7Qza\nKSvwWOpLvfRx0MyRJFVI2a1VNCafy3CnSN5JnLMMsftDgIM3X+ElwMVUY58r164RkcbMiYiGQ4V+\nuwcsJjmEevBxyMe/+VCXEXN9hrmLGKcHXYAF0fe/P9BlhEP4rbJOfQdyFR72GLOVQPDSKdJg3LoL\nHVr2ZJmyN1BYPxXCMAe8XIFGj+eFZEwzhad9NwehLmdCKAYaC6Td3ILmj2/yXN28r3AZx+bqw8tA\nUrkMZSQ1sX7I3b7j0D9myiL/WaB+OGZF8h+62F1HejdMYQnzcFfn4I0t7vu6caAE5vd8+FkiIrr8\n7AeKfSVYziQ5L7EOejAvr7P+wF9+7Y6eG5ZddRH7XIO041hyCxaAbIygVUJd8hEWoEhtR56jbHpU\nc/+dzHt8b97OoJ1y7zyiyL2aXatkDOuJK8BwXBc6ubx8h4moEZA6h0KyXL+oenJ/6wdf0HNKmOcB\nECutNZaWrrW1AKJ/oF5hMOC3J3Bl9OIbTGjdeKCKKKtSMrwAs/jJT3y42F44J2MC1+XIvQsLStA0\n2rpNmzwOJNUiqYrB/nJ4UNdKfB/UaVLJ7Ns+VG+Gkt2Z5TmIMiWXah0+d7mGhSM6tpGEq268eb/Y\nd1v6022BVx1DiNDdqRIQmA1BcVgam0B58LEC0Q4lhEBwQvZiWZDJBAqmprL9cEclrG+9JWXhEA5N\nAF0FQsSuH2hI7c177P3XLlwu9lWgzHsi2ZEP9xQNfv0Wz9EIdBKjqs71G9Lx5/UHSq6++LXXiIjo\nRz+qffvOr+gz2qryONcXNdy6U2ekNRIJ9hM6fO/xvXk7i+Z/+N68nUE7VagfBoYaIpEd7A2Ofi4Q\n/rnL2tDwekuhZhZIFl5LybSNLh/n+iUVe+zU9H3WzBmSDYYKP6dDhr8VUOoJIHa6JAoozUXFTbV5\nhsbXHiqBs7zI0G2wpdB3fl6Jl3KZIXg5xDp6PmZjUTMN5+agUOYmw/WZ2m2pEW829LovrC/p9YgI\n6RRgXkUER+e6Os8xFJlcOc9jr1kQ/ZQW3rUG1K9DRmR9XoRL53Qc65LEgAKc/b6ukVyz0ghg/VAI\n3v2hwukZrdPjsL4MvQy19YQp4LJkDAHCl4Rcvf6U5iV0+3zwXSDVolDH3pBn8Mo5hdgNIV8haZAw\nYj4W0rUEnZmWpFPRuWV9foewnCnLPa1UdbzdfYbtHSjMWV/V30JD8ghMV5e/VYnzlyORf/fknjdv\n3h5l/ofvzdsZtFOG+gG1petLRMyAQl1JoYP+NNRuXwcRzdWcYU/fgkjjMu9rdFSuaLGqUJREo3wM\nCCgRkccMeo+XgEWvzXOhhgXYtBAxM3wNYu5OrLNx4YPFnhigaFdY9iqw8SXBtO26Hmd1UcceGI4+\nYL13SWq6mwC7Lyxrk8+O6LFfhMafE4l2YLpwDVJOy22e6zK8+kvzPI5KFaTLagDrz3PXlx/4xPcU\n+7bvcUrq/kONe5uxLh/qrkgKIPiLb3BTzdsbGvvHfA4HV4/TiC/XdWw5BvVlG6MHC02+nqvndRl4\nucUdfzZAMyCHzjQ10YJYWoWoi2tACkutWQkwHufa8vliX+sFhv3bb+m87DzQJWFrgZdN1ZouMy68\nwMKkKxc0QhVCanCY8TNzONXoTUOKzyIjrD6dzLzH9+btDNqpevxyOaarl9kr3bnFJFma6Fu9I+o0\nFYhR1yC7bvEae2KDvc6E3LBAzqWBvo33+uyp8zGUeE7FI4E3DKB8NaqKcg540GDtvBwHynenjsRS\noiiZKJnmOjqXgTxysesGqMJ02kruRUJgRqTXHYliUBl62tUB1aytsXe5eu0ZHa9kluXZ8QWbVog8\nynXsRtSKKliWCyKljRYTgteeuVLsu3JRClhSPU8EMG4sPe0ebGkexe1t9raVGLICsShJZKhn1X/4\nnxDyCkyIAqs8TgtkZUP6Ic5B38T5hqAjcI3TPhLN7DljgEKxEJcliMMPDjQ3wCETVMuZE5Wo1fOq\nUWPy54vtSJScDAithrFIosOvMoEsyGnKsf9aT/MFmlWeg1LIRKn3+N68eXuk+R++N29n0E4V6rdb\nDfqbP/59RES0/1Umhb6cawrsYsPBSoB4U4XgpYaoylSgC4qId6bwnUEOnUYclIVUTwfN8uzY5FBy\nKDiCJUPklhTwlVwIwXwCopEBpKsaxvooJFkV2FivKkwtRbAUELgdB0oSlkOJhQf6HZvCUsDwd+pl\nhf8V6T2AWvB4tVnI85okGnN3KkVlIBEnUxi7EH1T6Ay0L01AKwDBbabLh4nclxH0IyhJrLwFBUCj\nVOctE3+U5kcrdyawNKlXdQ7a0qx0sK3HiaToHVaBRaFSWNX5NUDa5QL1Eyheiiv8OdbjJxMt6jKS\nCh0DGVyT72Qw3hklfvdcY2ttmSsD84c9G4zcQSwQqst1HNeB6Z3Me3xv3s6gnarHrzfb9P1//ceJ\niKj0h7eIiOi//OM/Lz53HBjSUSmQbsXbE/vByZews8noQMmPvujE4Vs/cBLZKRSGgE7c1PUmA48T\numxBUL6x0qY57erbnyBE6EI+EwgXuXATFifh2Js1JqJqwPBYybjDxj49kNJ2TnlGxUYkobGDEMo2\np4KKEszcEzgTQ/lukoL+m3jqEqCVw0MmxlIgqebK6v2rgh4aECKsyLWVIcSHmX2hXC8kuhWO7Dwo\nKU1SnaP+Nt+Dt6BYqCeKOMmc3pNyIL3moFtQACFAV/CEakeB66QDHt1COG8i1VwZyJ+HNQ4lmgjP\ng/0bpUffRJ/vXMjiFAjiBJ7LoscitjKS459QVVvP/25/YIy5YIz5I2PMK8aYrxtjfkH2+2463rw9\noXYSqJ8S0d+11j5PRN9LRP+OMeZ58t10vHl7Yu0kmnsPieihbPeMMa8S0Tp9E910orhCc8scy/zB\nv8VSfq89UJj8e/e4HrkEDTAt1N4nIm9cAvhppBvOGLLFulCXHgq8qoC8dk3i5iXIAotGCt1SgXvD\nXa2VDiPJOARCiRxUBQKNAoVzLkcBu9lUZDwh1mnD+7fVYuAUYY6Ba7QJ39k90GsciGZBraLw38qC\nqQzkkoWilrHlMY2BmKyI7HgADBHmDjjyKgXZcaduswUCnOvLWkBkBjyOEQhRWsleDKADES5T3NJn\nVk2G/2B54WKxJ0p0SbH/jMhVb+jztCeNOifLOi8Vw9cbTRSCZ7AOHPT5OFMgPeM6z28U65Ithyar\nmegUTKGZZSLzmvb1uSw3tIgnkOuxqX4nm/BznY2h+1ECUN+t6Yw+Y5ksi6bpt7CTjrTS+igRfZ5O\n2E3HGPMZY8xLxpiXtnd2j/sTb968nbKdmNwzxjSI6H8lon/PWtvFt/E7ddPBhhof//h32bjKufXx\nd/0gERH97Z9Q7/2Hv/rLREQ0mOhbcgjEVySexoyPlnMOgahLoYHd3o7LaNK3tUvIy1J9q+9talix\nIhp6zUDDN+N9DluZA/1OKKG3HEKO0wzKLKUUGMAItYQkjAAlhJDZ5/LLcyhZzSQcGAEhtQtlzb0h\nz0u7oeMwkk04zfW6x6ghKJ9DiQK1G5yZZuA8pTKUwdJRT7y4yhmNL/3FLR0vILIm8RyOIJsvlTAb\nNiLJwQc5MnNWj9GNR71mq6zX+4GrLKO+d/etYt/uPnvvHjSgqLhHHtle1AOUa+911dPevvVl+TMd\nbx9UfdyhGhAWLEfs8Uf7iqhKAx1HrSoltkjuCTGcAXGIpGnq5gUyHnOZmfRb0TvPGBMT/+j/ibX2\nt2X3pnTRoXfrpuPNm7fvLDsJq2+I6B8R0avW2v8aPvLddLx5e0LtJFD/B4jo3ySirxpjviz7/iP6\nprrpGDKO/DrHkH/tR76/+LT1awx/xhDAHQMMDoV0S0aQKefgOsSrS0Bi1SSmvLOj0PiNr79ORERz\nLf3ODIkl4oszixcZ0uhAlwRZypxFAPIx/anCtN19JpfqoMwSTvlvhwMoDAFo7do3T2EOnBQ5GV0z\nDIYKRftdhvPTtu7LJRNuOtHx9IEw7Ap5FWBnmjLfkyiGa8R4tyPjoEdcS8qhK5Dtt7Oj359GImc9\n0UftQHrDDUEuPIXsxtwlahyzeqzXtYCo1NSxuUzGi+tK/m289SqfJ4UeiBIjTyAjLoBMuJIU9iyu\nrepJZWlz96Z2VrJdhe3zLR5T2gVZ8RZfWxnk4XtAFk9FiakCMXmTueIkaBkOeSxxVYqF4PnOJPfC\nXY89YUT/JKz+n9KjEwF9Nx1v3p5A8ym73rydQTvVlN0ZE6WTcE5jsR+qcK30SlMFBuM66MdL3fRo\nCFBf4vxBpJAoAV33pogZLj+l3WGqTT5ntaZApgRa/oHAsCl0wElTHm8C8VvXSNNafX8eIgSXmHCz\noTA4PWSIbVBME9JVK1LEE2DarGuaCRVCKSizDAXWT+DzibRPngRY5ARdfmoMTw+gXfTXvvwyERH9\n5ef/otjXhRyE1XUOh7SbWpc+kXsSlJChVxtKbBu7AA0lYjEeaYQkg2WIg7o5HkhuVaOtOQLZROdo\n1OfrbVR0KVCrStQFohDDhM+dQEpuJYbnwLpORgq3L4iQ6/lzCv8NLBVca26E2SVJ7Z7As2ogQDIa\nSaozIPNYloywuqIA8kaqkgOyd6hLqQNpP+5Wg9+SOL43b97+ati3z+NLOppZV4//4z//cSIiKoEC\nTDrSeGmywd5pf1ffeIdd8R7Q5np0qG/ZTokJw/UlvdRagxGFGeurdbClZFsmhNQESJadnkgfryga\nmZ8XCeZcjz0caoFQKl6uXIYONmNpt72kumqlGDMVpcNQCWgVeZ1jeW8K3n1DcgyW16AsV5BQCoUs\nBETfwy3OtLt1Q+PvB4c89gxdLeRRbN7mfK0peLZYiKY6EKVxCXMq+FgjIKkOpkyM9Sbq8RNQ8HHI\nxh7TO7t8B2yfAAAgAElEQVRUU7SRt3WcFel+1FzSOVjO2EOjx7cSs88x7wMJUIn590aqyVeXcugm\nIB3suziV60jg/vStPKv7+qxOIKeiWnXFZVAMZFx3Kd0XlfUZNZK5ubulJOHGDo8zP6mrd+d6rL/2\n5s3bXwnzP3xv3s6gnTrUL1CXIyOMQv1LP/ovERHRjW+8XOzrdhXWLEtxzQIU3AyloeEbt1WqeQrd\nLuvrDM+mDe2MknSYIDKQMpqQQsS9TT7W11/9mh4zZNLuhy9oPXgsijcujk5EtL2n8d2RwNwMuraM\nJXV1HdI7S0Dk5YaXLjmQSyZ2yiw63uFU02Jfv88QvI0wtyXvdECAvT2Fry9/jWPcmw83in01SSNe\nbKvcd6msxOS+EHm7XT1OIjXk62tald1Z0FTniRQQvbmj83Jvn7f7UOyTAazPj4H47sHBe4Zdc6qS\nZt0CafZBxsu/zQO9xvY6l5Q0YHlFiT5PB9IGvfuWkp5zLu040GVcBvkaPVnSDSBf4N4uK0ztjvU7\nV68qOfj0B1iwtAaiq04PgYAstqleb/eA5//P/+KVYp+b19h1hfKddLx58/YoO3WPf5SDAOWckMMm\n9+58odi38YZ6l/IKe8YOtEeeazBJcu2chnm6D7U0MxcPHHQ0LNXpsNeOIaNu0tLzdA8YRSx31HM9\n9SEuAlmYV+RwuMF/d+uuSkffuqVFInXJZqu01KM/fZHDistrWszYgzLMSK7NRkCwCcmIrbPLoXri\nje03iYjo9TegZPgcI53RQK9rt6tEU0vCbx/6bm0pvjLPHml+UcdWAWnq7V32gg82tQR34yGfG0AL\nGUArN0RW+/Y99br9IXsuJBHRyxeJinrIQrFoPFISNoRQYzYN5dw6kFaZEeKNXSUwJ4tCuLbV04ZA\nztoxI9AayN6VhzL/AyiVBt3BOJD7nCipPE74ubx0+VKxb+26hpRr0pgF234HUNLtbADlzDde+SoR\nEX3hG3o9gczhvDRyiQLv8b158/YI8z98b97OoJ0q1O8T0Z8KsvmB32DSbusfPFt8/pN3RbwS6qM7\n8wrJdp9jKPr90MmlIgU1c22FvgZIo33p2vLq7a/oOBKGne15jcuWoUfceMBLhdUV/bxSZQjV29P+\nZwc9V2wCvcyaCrfn53lMJchqazYZkmXQ/y+D9U9LiLwxtE8uSxFJBmosmB6XS9vqyVBzHrb3GAZH\nkOGHAp7L0pq73dB9lRIfP7IKp8uZws+25DcEsASKU14u7fZ0SeGyyYh0jg6BcB3I0gYJveP65KG4\nZUmIx6+8/rDYt/KNu8X25uaLRER0E4RWK9INJ4d8gU3pX9cEiF2P9dlxsfRKG2r0SQp7Es0VQcmg\n3KXalaHV+hrf5xrMVRDq0mQylV53UISWW56ryVDh/X0gX1+9x0usJmTzLTX49xE4nYe7JxO78R7f\nm7czaP6H783bGTRzHMT6Vtnl1Zb9j/+NTxARUVSTzjQgIxRLbLU3Unj62i2FLq/e4vj6NsgeDSVG\njl1XsCAkk2IK1JR3fDGmhJYABjekiKfVVAjYkWVBGwpuqtJZZdJTKHm4p3Bw0GOIGEH9dFOg2fqa\npuw2oFCpOmFoNwRYPxT22kJaK961shQYTUECzAmGxhABqYHcV1W62JRg/gtRT+ie0wf9/qFovIPm\nJwVy/Bg605QhNn1emqSuXtL8BytikZOhLnfakNdgZanW29P7nCU8ps/+oeq9jKBeP5cW6ygL5oIG\ngwHU40sxT6+r10VQFNNou45J0FNBPp+fU4jdguXbQpuv/WMfVQb/8pXLRESUwlx293QZYuS5rYO0\nWShFOjlq9oMM3VhSi/t9WCbKUiwL+Bn6e7/2Wbr9cO9dqX3v8b15O4N2quSezTLKDpg4mw74pRTX\n1dtNLJMaD/aUBLlxS6X8Hmzy54c9zVpzwoyYsZShZ7Rv39BtTBAbQdbVeMKe5uBASa7dXSmxBRQw\nJ2WuFXAZBoQ+SYQ3h1AmPBVSp1RS0idFRCC99+pwZzLZtlCvGUHxjPPaAcTFq6Lks7qoBOXynG63\n3dihH5zLirNwnDGQcvsiXvlgW1HYgXSPcT0MiYhGUPTy5lt8/1IgsdpznBtgQWUohi4zRjxfioSr\noJ6tDSURe1CoFEgcGyt5XYHQYU/nfyhocjRWdFQHgrPU4OO0Sjq/l1Z4jp6+oMVjCaCIlQV+hp+6\nqLkkcwv8txMQTW3HmhGZChoMsD2SewbheZiA2Gbk/jYCpCN/O5JH/qSe/CSaexVjzF8aY16WTjr/\nqey/Yoz5vDHmdWPMbxpjSu92LG/evH1n2EleEBMi+hFr7UeI6AUi+jFjzPcS0X9BRP+NtfY6Ee0T\n0c9964bpzZu399NOorlniUPwRESx/GeJ6EeI6F+T/b9ORP8JEf3qOx0rzzMajPlQe6JbPhcoLE8E\nGm8cKDw6OISiF4F7GaifxELKoYoNEl+hWwIcbcpSkCn8OZBCbhekP0YOVk6BWJHOJxZSLU2qx3TC\nLgbGlkkL5F5flxFxS+E2SRYxyPNTuSbpmLCkKIFIYyCwv1XTZdOCxOnXljTFeL6tULXZYtgfxQj1\n+TgI9bGry/wcL4EWFxSyHojKEBaodGFpszPmmH6/C/F1IQRrVYXy2OMglCKVCJYPJOTeBPISBrCk\nk47kM6o9I0m1PeyDatIUFwMyHsiZWJDipjbc+wvzPN5zSyDu2dTP18/xTWsC+VeRfI1GC7rnwNpy\n2uP06Qk0+XS6+ijLE4AmK4kyVAiEbZJKXshIUpbfz5RdY0woCrtbRPRZInqDiA6ste4u3CNuq3Xc\nd4tOOgPsLOHNm7dvm52I3LPWZkT0gjFmjoh+h4iefZev4HeLTjoXF6s2FjdopI3zCLzYgRAv20DG\njOHt54o60FOXpbtJHbxDqaJvvbYUU5QhlBWLt8wBOaCCiQtXoXJL4lRw4O+cyk2EL1nICHM4oGSg\na07g+sbpV1JAEcUbG/4gkDkqAwFWhTCc68dXA93AxTkXflQUUAdEUJaqmhCO48g9g5gpRAQjWW1l\nvZ6mkGFdyDarDKGQRiJ7PZDkHonKTQVkrcdj/Y5rY54D7EGlmuLvAMaNpU/hTPhLGK8sQ2JXxggq\nQYtNvZ4FKfUtAZpYbvIcXTmn6kuNhhYvVZqMpEys3r3kpMpBtp0A1UQRz1sJvpMKekqhn2GeH+2H\niJHpyZTHPpby3RNW5T5eOM9ae0BEf0RE30dEc8YUT/R5Irr/yC968+btO8pOwuoviacnY0yViD5N\nRK8SvwD+tvyZ76TjzdsTZCeB+mtE9OuGOykGRPRb1tp/box5hYh+wxjznxHRl4jbbL2jZXlO3T4T\nGJsSBzVWYc2+tFQ+gLpnJGPSxEEdfV91pK756rISThcXFJItCOTFlsyurh1bEGMr66FA7zFIPju1\nmEMoQHFLAQOkDbZcdqPE8cayPIjLCrEnY4VzqZxzhG2jJQbehCyvMjRwrMoypgHQuSKfl/Dc2IBU\nlhQ4Nm1PrecmiJW7duAWCEwrYpA5qANNpnqAiSzpxhCvnkrT0xxaeE8mCvVdfD+ECLHNHXmlw0lg\n2TWU52Q8huWbQHzMwjPynQYsVxZAZn1BdBAuL+pcf+IFzjpcufp0sS8uK2lqKgLXEeq3OGMxHWvO\ng4VfW7nBn2eRakdMpf0kEnT5FMcuzz80P7Uyv3Holmknw/onYfW/Qtwa++37bxHR95zoLN68efuO\nMp+y683bGbRTTdk1ZApo2ZKU0kFJWc9DEQ7sQhFCD1JGs4yhznxdv/OMMK3Pr6tc1NqCwrCyS0kF\nZt31OQ8gwXMC8eq+pFn2AYJ3ZV8ZtPYPRzzOlDBMCanDgtKwrtwKM14Chj4ByNsbiqY/QPBy9eht\nsqDhHghVHUOqZ1ikLxztMc9jkjmAfAA6BuobmKNQIiex1bFbw3OQAdSvjqGOXiB+aIHVd33gM83X\nSDJoFCkMfWUmF5T/B9rJ03gChVkyB9ghx02rOx6RRmBaZR3jWkPn7aPnOSX7hY9odHr1GkP8uK5i\nmWFJWf2wwc9eUNLnjmKOoNhUnysDwrJRjY8VWMgNcPkPeG8hBdzIfGWJ/j4iF1k6bpn2DuY9vjdv\nZ9BO1eMHgaGGvMZHQkrcPQR1FGllvb+vRM9gpG+3OVEeeWpNybun17gwYrmj5F4dSjwD6XgSAbkX\nC0kVQllnFSS7Xcy/AgSce6OORkeVZFJMFwNp5NS1PaajHgdJsxxIxqkQUdDohUrCaCVwnjQHUq4I\n/c+4anciOtaKjEbwKEUcX89jQOAzEKQUgncPhegDsEEREJyxbOO+ibTJ7kPsvxFA0VLhoXVsDsFg\n+TX2nXO5F1iLlQjayIBYbFR57NdW9X5/4mktXvrYc0y6LV1Tlae4zKRdGOtzFVX0eQtEwcdAdx2S\nbM64okg0TzV70TXIC0D9J6zqc10YZieOhBAHMdNQntUgPDpn72Te43vzdgbN//C9eTuDdrq6+lZj\ntNuHDJPvbyr5cbjPMfIRKLOgTvglqS2/tKTQzC0dQohrY1qtI74MwHrHm8289UI9T1nUaRCiJxJf\nr1eOxsr7AyAGIWXUwfYIVYYEio2mumQYTfX7DtlN4RqcWksDVIKw8Cd0DUgJ47vpzL+8nR35HKta\nTCDbBgtZgLg0Rz93qbSYUhtBDrPLW4DbQ1O53l5fFXaCGI4py6UM6vpdYc+MbjzA+kz+B5ddqUB8\nBL/tGh/n2fMKsZ+6oN132gsMzcMIxFuFWAwgvXxmXlPJ7QihK07IS5cw1sIom/ThO9IuHTQWTHF8\nmCyDxViybAX5/Ux+T8ZkR671ncx7fG/ezqCdqsdPc0u74h33xauPxkpsuQw4eN/RYkPfoldE7noO\nvG7Jqcbg2x9CQ1EoHiBAbyikD7gM1B60sj8E4stlvVVmdOt4G4t0pqmiFdc7z0CBSuRUZ6x+aQAa\ngYn0cUtDHW/sCjDAm4Xg+QLxwAYIwyKbEApULBQlFdszykTuyxB+xOIle5SsLNAV8oowNhe+xbJp\np5B0ACWp0ACnCHWaTOcyEK+bYBZeDOMUds/aoz6vDD32Lizxia4ua5Zdp6VhuFg8dGA19BYa9t4G\nj52AClTR1w8uQlprGyAtw1DPmSdHPX5A/P0gLx3ZR0QUhTwfESjwJPJcBwVaoxOZ9/jevJ1B8z98\nb97OoJ0q1M8tkXRNpqFD+ABNXBZSCWDhSkdJlnMLHEedq0CxisSZQ4C5gISOVeBxkHWGJ5pNa+N/\nUIEndFAf6uBlO5qB3bqdCpmWQqGRleBzhhloQLqNJ6KCUwbSp7gEgLnIbAn8xZJ1t41qOjPFKqGL\nIwNhWLBGR5c9RETWJLIPYv/GZYwhSYWElMSZIRMxz51MtBKcpdbRoqMIYG5J0vD6kK0HUzgrcODG\nW9Teg3DmGj9PHRBNjevQSacqpFwNlHOkHTpBliMSpSSqSvlUyTv30zIRxOFhKRCQmzfI0hNSOUz1\n72yqS4VMskfxeXNLKH3ufBzfmzdvjzD/w/fm7Qza6erqW6KppJoOJN5toMDaZR1WIaZ+rqPs6oo0\nxqyRsp4uo9QA9MozaC4pcBH7r1s6Bupj3bkYdt9xkCpGCa8i3q+Wz5DkfIIJ1PWnUuQDQQYaQhQi\ntXyNIeHyQWAhpAOHCK0dQT/TTUiY/pHORU4QR5auRY2KxpljiVIgKz9L+gvLbvCxcWm+qHeAGvlu\neaDjdSm0CPXjgX4ndfoCEC5JYj43LsmmELFwGcwzMltizZoee36OofPDXZ2X+gPNJ1gTFr5T0ueu\nUuZ9wcxaCnxmzmPLIb3caQFgfgKFNfjcPf9wTBEszWERYzGnQuYD06hD+dEEhr/j4/jevHl7pJ0+\nuTfiN9jICSECQ5NJ77cWCGeuLehbsiRvRxSnnMhbcozCmVDA0mhwVlUNOvaUhRxE8g5j/247h33d\nHh9nu6ex554U16ToneFtHImaSwhoZCq91EbQJnsCaCMWz4idZUJ5P6PIaITlv6IONIGqFes8JEzw\nBCSwDwd8PY1D7Uwzv8JZa7UOlJxifzoktJy5fm/gQ2aaw0h8PQPhzIl0sRn0NGOxOoB4dTWX8ep3\nKmX+2yn0lUvAuydy/xMgUmO5v8sge12T+zMZ6rXcva0qOA8fcCHNxTVtx33++kUiIqovahFNCASz\nkWufgscfjW7zNR6gshBcj+QO1JuahWql3DZP9TsR5HPkcp/xntoiHcP93cl6YZ7Y44vE9peMMf9c\n/t930vHm7Qm1x4H6v0AssunMd9Lx5u0JtRNBfWPMeSL6m0T0nxPRv2+4F/Fjd9LJspwOJWU3FzyI\nLYFdmuliU9N0m5CeOxi6TiMKp8eS/rk3RMFKhXG1fYayrTklsealyAeJugm0mB6MGXINukqGPdxl\nCIhFOA5q9qFzDCqglKQyZZwhUcf/4tJiCsuUhhCGEQhnVkUvH3X1c2C5UoF+AaQ3V0WTAHUIkPJ0\nA+nvK9R3XX6WAp2LWkvnLZNYeg65AU6T4KCr8BRVcibS8XMCJ3eNK1EZh2AOpu6PZ3Q++f4OoHAH\nNQucEGsO8L8iykVL8wrLa0LSXlrUevqFRU3ZHYq+/xQas3bvP+AxVKB3A6TfZpJyPdjTudzf5Jbu\nvT2dl/nVy8V2XdLPK9g8VVSKBodKNk5Huu0K0XIgSnNpk21OCPGdndTj/7dE9B+Q3ooF+iY66UzS\no8y5N2/eTt/e1eMbY/4VItqy1n7BGPPDj3sC7KTTrsbW6em5kA52QymJF2pU1dsNE/WMb+4yIbXf\ngz5tCXscC0TdWhMyn8SLWeXkqCydUSpW/+6gp7LZ24f8lr57D1p0H/LnVSAJXUguhTGWgZh0pB5K\nWDtIYB9RIOQuowoevy3eOw4gJAZE31C8/yZ4l2yXPWSpAkRnU7335XUm8GrgPSZjVzilc1Fp6fUO\nJ3zMg4Ge5/Zd9oZ3N1VdZpzrvZg4WfKuEmg7++xNYyiyQenv1KEvOM5AtBdRZ2+KxKNDQDCXtRJf\n21xd77Pj3+7u6DUkoOE4J8hwaXmt2EdTno8phGUbc6q/lwjaHG/oHByIitTgEAjibK/Y3h/wqnlx\nQbMGWx2+z/VlLRNOD6GPoWTuISmdk+sdKec5oejeSaD+DxDRTxhj/mUiqhBRi4h+haSTjnh930nH\nm7cnyN4V6ltr/0Nr7Xlr7WUi+hki+kNr7b9OvpOON29PrL2XOP4v0mN20rGWaCIkjuNySiVQNRGy\nDZtV7vU11vvavR0iIupDrPZQ4NdCW4UQXatjIiW0QMW4aL+MWWCbe0qi3NliSHbroUKzkcTIF2KF\njYf7vH5ogShnA6Swp+SyqnS8LvsLBSAR9ucC4UtwnlpV4OAU1XD0Gh/uc7eWL76hoCuX728NFbY/\nfe28fl2KVC5BMUooMeMpxPtTiN3v7vMc3QcS68Z9PveDPSXDeiOFxPvSHns6VBjcEFi6Mg/ilXA9\n46lrdqmXm2QMnWcS5lBt8xgNhZbci6trGivvbTBh+2e3dop905c3iu1lyez7yR+6XOxbl+Kw5jkY\nb0OXAjblY6VQR3//Ac/HNihMHQRKAg+TTd7X13n5G9/DHXv++idfKPaVmrrUSgXiZ5jBOXZFUI+n\nwPNYP3xr7eeI6HOy7TvpePP2hJpP2fXm7Qza6XbSMapPHxXwF2LcEqdcmtPY5gee0ShhrcKwZ6+n\nkOnhIUO39QWFc62SQsCmQL8WsNP1CkPzBGL3mJ5blXTMcwvKgrs04Epdx2aFze1AEQiQ+jQRWI8y\nWS7ems1o8SOrL/MDtd+5rIsakHewtKjX65ZLu5DLYKp8veGmLleePX+u2O5UJV8gVyhqXZx+CrXz\nIDGVSleYRkPncn2NGeg41iXFxq4y+DbhMaekc7Qsc7jYUjZ9H3oLOD38dHR0adOCpdQEngOnt4+F\nV2uLfPyPffRCse++QPwBxsIrOrbr5/l6Vtc0zl+JeRwNYNsDiL+HNb4X5z/8vcW+WBpobty4V+zb\nhWjJSJqAbu5CAZEw/NOhLkNiaO4ZSh5HluAyUZZF8jzZ9ztl15s3b3917JQ9vinUVQZSkJACQdOW\n+P3Fjnqzp6Dl9aWIM6zuQ8x4t8kEWwaEVAwSPOcX5M0Nb04n0Dmdqjdrl4Cgi9jjr1XUI3V77E1R\nCrvZZs9Xg4yuCRB508L9HJX2jqD0GMtpayIjnaco38zbFYg3Y8vsxXPLPN6aZqD1R5KBdk4RUx2I\nojkprUVi8lCuMQMk5AqAiIis5Cu0qurt5q9dJiKig4YSfruQQdgV9BbkOrYkZ883yBSh7MF5Esno\nG40QkfHfXlxUgm060XN2x1LuDCTutTX+2/UF9d7LkrtxDsqRDWh/twSFLMzp/Lbm+BmsLVzTg5PO\ngauLrnbgWf0Yk3+Lq7eLfb0N3Xb5K9WF5WJfXJES5+SB/t1U8w1SV8QDJG+SOPQq+Sq59/jevHl7\nhPkfvjdvZ9BOuU02tG0WRIya5/M1hldzNYVZdSS0zjH5sbii9eJDgd5T6EwTAt5zhTh7WIziFG1g\nbDXIJyhV+fzlqsJBl0Y6hXbaqSiGDkFLfw+66uzL5waFJo3rLAOxWCgs6UqdfB4D/JQlRwApqqjc\n0pDPFy8rDDYSx0dBmgyUXdwUpSMtRDIyRSgKg8F0Yx2RpHPdaTGJ1a4tFfvWlnQc4x7D38FAScbt\nPSavpl3IXwClIJeViw0yx/L5h59RgtL0dWw3XA17qN+pimCphWXT8kUe58q1q8W+qAJp2DIvQRnq\n+ht8DSE2wAQhUNcmCBtgBlU+z9ycEotzz/+Qfsd14gG1qHzCKeJ2pM+37b+ln29znobBHhFyTyaT\nkfz/yephvMf35u0M2qm3ya4JgVcX4qYMxSh12S6Bik0GnXZcdlINde+cZ4PCngwItomUzI4m6olN\nodmHGnagjiI96toQustiHu8EiKBRwJ4vGcIbeKTnmYq3TO3RLL0YPH4A9ac9QRR1Au/tWkRDyCsH\nMowmPN64BB2E5PA5oB+L26IO1FPnTZmEhiILPfYAMjjJuRnpOfGm5UDnH3sFRoLeMpCMdlqFmIE2\nRek5h8UgtXIk1TWf/tEPF/vWe6Ca9AqHzQ4sPC+SiTiAHn2Lc+zdq20Iwc4p8ehks5NMEWLUkM/B\noxOEPMOiR/gxEuPYImimgEbueQ7jlX3W6jOUjaEduqBjC1mfDoEeSCkvlnu/k3mP783bGTT/w/fm\n7QzaqUL9OIro3BITFyURUhwD/AmLBpiK+zJQ03H10FEA8s2usAfgaQLfGUnscwAqOWWB8inKWsP2\nRLZLECs3kUBZgJ8TUYpBNZw+LE16Ut+eZJilR0euEeP8NYmrY13/xBGYkJaWTKBpo8s8wwxAgd5x\nBTINgWScZKOZa8DtCFSPsNFm7nQHSrqvVGJisRTqdxIQycxk7AYz5SxfW5JhLgN2LeLPR4lC3onI\n+nzkr32q2Hf+jn6+ecAk5Zd7CuvrdZ6Xg67C9vomj30R8jZC0CmY9DkvZDDSXJH5Fhc3BZlm3mEL\nb5fxGESaL6AMKZJt8HMzR7sWuWfLQq6IhSWda1Dq4vlERHuSJbkhuS0JNGB9J/Me35u3M2j+h+/N\n2xm0U4X6lXKZnr3K8dNdyzXQd0HX3cWpI2DOU4hzjicMtUoAn/KcL6HXVxhWBnks16nnsKv09XiP\nYeF4qHAZO9e4WHsC8d9SAbNB110+HwMc64O2uutmkx4D9c0jJJJaEtkIAbY7HfUAYGGWYc18IvtQ\n9FM0/SFPAsvXp0P+2+EQYKX4gXJZlwcR6ALEsn88kzIq6cTx8ey1i8WjBr6TU4DMYBqNIZIg9yJN\nMDrDfzx37ruLffUPajHQp7b4Obrzla8U+85LoQ0EbGhni/UD6vPK0JdH+ryMhB2fggb+aJ+fVTdn\nRESHG7vF9njEz97alWeLfY3lZ+TcuqSgQFOZjRNBhXtmUz63TfQ3YSGtOU8lipTrd/a7/J27oh0x\nSTyr782bt0fYSeW17xBRj4gyIkqttR83xswT0W8S0WUiukNEP22t3X/UMYiISuUSXbp6hYiIOiN+\nE06B9NmW7K4QYtxT6JrjWj5PrLqKoeukA15oHcppW1V+y55fVXHEjV0+z+AAesmB0sxIHNYIUIQR\n0m2aoKeV8YBHH4H8tnv7Yvac8/5lyMyLUETTOpSg53G96LCP2gwSEjKoDISfGfO1TQjHg7LY7D0c\n0cYWH9lnoU9eKDLfU5AdH0j/OyT3xkBODQURjGEOJkLqTYHQGwEcmQjyS2CfQwzl1qViX/mZTxfb\nH5LEwM6rb+jn0gfvEO7zooiPBoCEkol+HkiBVrWmz9DWm1xcs33/Rb3GA73G1XUuhJp2NB8glVJd\nE4GXhzkK3H4oi85H27JLx4N9IJNjnv/9Pt/zt3aYlERi+53scTz+J621L1hrPy7//0tE9AfW2qeI\n6A/k/7158/YE2HuB+j9J3EiD5N+feu/D8ebN22nYSck9S0T/t+HKkP9OtPJXrLWus+AGEa088tti\npUqFzj/3FBERjYVQGUAhxt5tJiqwPhpbTE8ENqaJQnAHs5vQ8QWrTMoSu75yTsURl+YZki1UNC12\nc1tVT0ZClg1A6NNKbH8MSw+XG4CEHnbxKcm5UW3H9fPEZpQh1OY7OFch/Fy+BHwghMCLZphD0BdI\nB0wQZSNtKJACtHZx/ioUqNgJf947VHiZQerqsMvzngEEH0jHGVyuTCE3YCjbE1jvuO2ZfZCGOszd\n9ei9d92Gggjq4J/X+vjFkO9B87f/+2Kfa/cdxQq36x3eziEtfAyFV5UqFx3VlkDHYJ6XiY3SnWJf\nANfYPs/PdATPk1NaMpCunQ22i+3c3fNM6+3zvoh+ZpqLkBvolRDxOMdG7/NOnz9/cMhLrukxbcKP\ns5P+8P+atfa+MWaZiD5rjPkGfmittWam0beaMeYzRPQZIqJzy/PH/Yk3b95O2U70w7fW3pd/t4wx\nv/wgMPAAACAASURBVEOsrrtpjFmz1j40xqwR0dYjvlt00vnoh5+zq898kIiIkkN+c+8eqqd97T7v\ni6FwJ8+A/BCvOwUPasQb4ltnH+Sf84Tf7Ic7+pY8EJ2+HdCGG43184p0XsHCnkRIskmuXqjreqZB\nCOW4LmEzoTlXf4I6fCGuuMzb/tVedfhncQRZb1I1M4XsxVS6v0wAURkopImlgKUE4aaFRSkHncnC\ng2y1MnuVEIqkrECPLnQimmZHCdAMO+XIJEyhyR72UBxJ2KzXh9Bo4ckA6kBhVrTGZbCXAyXYVjus\nkdeAhLpGLIUw0ErdGMgEdQTnCMLMQhx3mqq5Fy2rSlTBf+Y6B0HAc2mgnfZs8Q0/93asYUGb9mQM\n4OUNfCfk+TocKvn36i3O2NsbSEj3/VLgMcbUjTFNt01Ef4OIvkZEv0vcSIPIN9Tw5u2JspN4/BUi\n+h1JOImI6J9aa3/fGPMiEf2WMebniOguEf30t26Y3rx5ez/tXX/40jjjI8fs3yWiTx39xqMtiEpU\nW+LMPfssw5YL9kbx+eIeY7IIRCWjDGLcEkN3baGJtHBnc0cJkf0Dhe3DfYZK3S4o5yQO7oHKCmAf\nR7ANIW4et3lMGVAZe1KEsw+qO92xwtOxLAUyhPqS+YeikDnCfkkzwxWDK84IMfaPzTllOzNIEvJ3\nupCZh4U9FakTn6+r2ku5xt8vg8hoBYQ1g5xh8N6hFrB0Zdk0hnh0XFV46/QWLMiFT+X+HfYV0g5B\nGrwv928whCXDcQgW522Vyd1P/+L3F/vCmmTnZQqNo6HA6RDSBiFv4XCboffglZt6nC7fjXmA+qWy\nkqKJLKviRf28eoXnIOpgg0vISXFjj3W54mr4sdU3tiRPZCn3EJ71V+/yHA5FoDS37xPU9+bN2189\n8z98b97OoJ1qkQ6ZQFMVOwzDFq5fLD5efp2FBYfQvaUOELEkUNcAhz/p8t/uQv/1u29BH3Lpgz4F\njXbtuw6M90ykgD+vQUefRcuhyCmQyg+2GEK+taEM8ADiuy59crbyXjTYUY4LILzLHE4hPOCYcVCq\nmoX9wrKHABtDiSmbWI+zuwXLoU2ZF1hUlGOG65WGQtIcdLa6B3ydGzsawOkmDJ3LbT33xaf1npbL\nfJ8HwPpv7fM9u7+pOQZdyIXoHohcGjRHddc7U9s0U8rO0Hv9e3+i2PfG639ORES9B5vFvvMlJ6Sq\nRToJpHsf7POzs/FQlzMXlzmOX/+IrnjjlqaAW/kZYW+H/a27REQ0fXi32Nde1mVVrcPfD0oa4i5g\nPeg7pND0dOsez9u/+D8fFvvubvJcRW5JRScz7/G9eTuDdqoe3+YZjYbsmUtOnWasXjWP+a092VMy\nJgz1bRzGRvbBe01UWjo19TgL1zXrKlnit/AeeJdciJAQ3nujkRJNfSmVrNaUwCGJ1d/dVjRxe4Ov\nZbenxFYIGWFU5Bjoeay4rBT2YdZbVYQbI4zHCnLIAE3kmDAgYegAjhnLMZvQQai6psmVdl4kxgeI\nhPhA9Y52d8HkgVZTMtOMEnF1qb4JG3oNZUAR0xGjjO1NzVrb2GAP3O3qnCMJ2XOkHpBc1YpTZ6JH\nGI9zFGiG5r03+Y937ul52hfY05dBmQgLYVoNjs+vfFiPUw05my9CUVXIwkvkGcyho1JopIx4SVuT\n1xb1mIE8JzbRsZmyIAIQ4Dx8oHH+P/sjJhz/vy9CZp+wno05aZd9eLJG2d7je/N2Bs3/8L15O4N2\nqlC/N0roT17hQoRn/uQviIjoxs3/o/j8GweSEgqjmmtoOmVbWiTPtZWYaYn2fR1aY0cQ9M2k4Ge+\nDASaq5kHEqU30HdgX/IFEvjOoUBvhO2xiHaWQM8eMk+LevwcauIDgfqlSP8QOwctyLWF0A66Ii2t\nwxLUvAMZGbjiJQNx4sSJXOr8ocBnJCm/odaVkJU22JlVMsxANVC5wt+f6wCkHfGY8hjEMiHXYSgd\ncHpQEz8YSHETCEMeArnnYtFNgM5zLb7PWhFP9PHfheapv8KKNz/2uh5nKmnCyys6v1vSzPKTn3i+\n2FcDoi+Qr1vojjQaMkHXvfXVYt+4D8o4Atubl7TLT2WeU4jDQAm9bKxzMB0zXE9Bu8Ati3bf1NyW\nz/3J68X273+Bl5bIUzfl2Wg2qnI+JcbfybzH9+btDJqxJ8z0eT/s8oVF+8t/l8MtjiT70tc13NHd\n59CFTXRMO5tKZPTkLWtmZKT53RVCFlcMZb1VUc6pgGR0UUiIBSxwzLLIVVeAGKtIb70aFF1U3VsW\nCL0aZLqtneOQzXMfVO8SSExubwvKgMF7LH+AddvGELvblTm4f1P7qG1vKbnUE901LC9NJq6gBop5\noIjHzVENsvSaDXb/gdHrGYIn7nWFIIWYWkWyBhtVPQ7OkdPc295Wkqp3yMdJoeSaoOjICKHbgeM0\npXDqp372E8W+nX0lWt96wEhyfk6LZ9aX2QMfbGm49WtfeY2IiAZALM439J5VBG5iONUhwy5kaB5C\nCyJXlm0AQRb9Gw1mZer2UKBhFwrBXEZqu6HXfe28ErLn1rgAaQwkrysdr8m9+wf/2+fo3vbBuzJ8\n3uN783YGzf/wvXk7g3a6cXyb01hUYr564w4REd29rxCwJAUqQaJI5bAL9eACv0KUb5YMOMzoymJY\nvjhtZYj9O6gfGITB+vlI4sgpwDmnglOrKvRtDJwikELWCsD+Xp+PszSvxRvub51yDRFRBKSda7Wc\nAIMznvIxIdRNgyEQY5JHkKIwqcD6ubqyd/NthcHXznF8udPSYnUrwqf9gY6tBxLkOzHfqzHA06G0\n2QbxH1qAc851OAZeN5oT0a/yPe2PQCNhqtB754AzA6cgdjoYSdFLWe/Zm9uawXb7AS99qlAgtC9L\ngZe+pLoxr36DW03XMfNxEZpvSsPP1Y7O1YVVzmsol3U5k8FyNJcMw3Kk53YpCDOKTLB0cW3MN/d0\nKfv127zs3djR30QGsvBJpS/HVqhv5dyDAc8Lqj29k3mP783bGTT/w/fm7QzaqUL9jHLqE8O7W/cY\nzgFioqqw6Qd7ml6L3WyqAsMiaI3ioBTSmBEyqcccx4lbBpCOit1uxhLHnwKEj5xwJpwnle/HeHI4\nzoGw4LvbWtRSFsZ8APoA1XZTzyNFTDlIXo1FgioBrJ+NFAK6SD0y9HMtXl5cvXKh2Pf8tevF9rIs\nP3IY72DExx8AvB+PdQ7OzfF3hiOQ2Up4HO7eEBHVQDqtLJOzXNdrHAk7vrGvhVVxX2PyvSFvD/bh\nOZDqpW6q+w7GkIrb4aVEqaYQ/qtv3CIioi9+481in5GCnOsrWhxz/YJuX13lOP/5SyrkWZWxBxBp\nCUHGLJB6fguw3snEUaQ/sQiETV2uwjX4zvMfeI6IiG5+47Vi3+t3bhfbhwd87Y2KjmNBNAe2XEHT\nCYN03uN783YG7aSddOaI6H8gog8Sv1P+bSJ6jR6zk05uifoimTwei9hjE5RM5OU3hB5lZXhjtmtV\nGTS0YRavjB4dvbd7w2NvvDBzvfHUg47Bu49kjBN4GxfH31WP44ikRl1Jm1ZFPV8gsemDnnqm8/NM\nGpVBKBJf0pXQ9c5Tjz4YsIcdg1R2HOh42x1Wn6lCWe6li1yo9CHxIkREK8tafBMKakLyqSo9Bzup\nElsJCInm4nUx5yEWTx+CmGYG9yKb8nWkgBL6PSapak1FKNWuzuEk4cfojX3NdXCtoUsolQ1y1vtS\nZPWVm/eKfW+8xoQfIsAXrnNc/Hufv1Lsu35OUdGCyGpXmiraGUZ8jUW/OyIy8AwGhYIqgZkju3LI\naJxKzkVY1udlRbI2W0AsrqwpMfz6Hc7iS4ZKCKZynuDEBbky5hP+3a8Q0e9ba58lluF6lXwnHW/e\nnlg7icpum4h+iIj+ERGRtXZqrT0g30nHm7cn1k4C9a8Q0TYR/Zox5iNE9AUi+gX6JjrpZHlOB9Lk\nz2XLmkjfPb09hmvYHnmpoUuBK5KyuFhWiOeIvv5YofHmASjiCKSKQQveFagMsJMjKOI40cMI0oB7\nsnwYwZIgSflaMmiTnUMc2UjaZg+WLmmT4XI5VIiH3YICSdsc9vUaRtIVB1sm1yAOPSfLhlZN5+XS\nKt+ORYCNpQhZSKdoA5A1kKKiSOelBERdQE4PQc9dKgnhWkLRSCiSkph/ClrwdRlvBKzoJNdrm2sy\n5I1h/g/lPtZifR72QLfhqxKfz2Hp0hHa84VnFMp/7CluunlxVQtqFhZ0CVRpcFENqhkFRQtw8JP4\nvLiHGURgXRNWC2nhFnQKrKRUDyHNOpClbAzp5Uvn9GeViKDp1qambm/t8LMxEX0L+z7G8SMi+hgR\n/aq19qNENKC3wXrL2S+P7KRjjHnJGPPSCH4A3rx5+/bZSTz+PSK6Z639vPz//0L8w3/sTjrLqy2b\nWfYW1Sa/3UpAcu10OWMJyZjLaxpq+cg1fnNfBIWY+Tkmtkpl9bRYxPBwgwmeeztKFA1FDtmC0kkM\nKjhO424Eb+OxlJduHapn+sZDPrbroUc0qyTjijI2N/XcK3VRuSlreAtfmYl4xt6uZm8lAyZzIiiy\nKWNRkgQZOyBL3nHlvSARjqG7SPTELXou4wqedDxxiIQWWwCEaywevwzFSVgwZcV7oTpN2RU/wd/t\n9JWw0nMf7SaEiOvOPZ3XRLryXFtThPNR8eTPrOjzsrLM5bItyGKMIaPOgRksgTZC7lmYP9Q/N6JL\niN7WSscl13NRLoLgD/h6QPlpLCiv1tJnYwrPVlkKoWpAiFdFyzBP+TgnLbp7V49vrd0goreMMc/I\nrk8R0SvkO+l48/bE2kkTeH6eiP6JMaZERLeI6N8ifmn4TjrevD2BdtKmmV8moo8f89FjddKJ45hW\nVzkuuXieYdrOrhI0E+EA1ucU6jx7VYUzL68xIXN+QQmPJSmgaLQUukWQRZZI4Uqvp1ByJIUlULZP\nlABBJzgOCR4XPz6Aooo/funrRET0L178UrFvc09rxJ289ua2pjfsLfG1lUiPjV1i+gf8/SGMN5Ml\nB0qAAwqmcuyUiXTeKhIfzgCehljzLssQg91oJDMtgHg1EnkuGw2hfiBzNLMPjynxfShVL/IA6i3I\nXqyrCo7LCYggN8B9fXtPl0CTsV7b6hwTm8+AoOgVWRIWIqFEVBYIP6PSnWM+ppsX3OOYaPgWjK1g\nqlEyXZZl1kJj0Bwz+/h5C4DcHohOwSEse4IISGAhsBMgMGMheWeWFCcwn7nnzdsZtFPN1S+VSnTx\nPDdbmBNi5vZN4ATlxXnxvGZNXVjXN/h8k716Ezybe4Oj6k4MxExZSL9aTT2KKtFAOSaUtDrSKSgB\n6SMoYvGcuufl9cu8b0F11f7p7/8/xfZDyUU/7Cuq2RFdNQznYRZYr8sEzxRbdAsaMfBWD2ZUhqRJ\nBGSBZUJcTkHTLUZJaWJPhL3ZnJvDZh3oGnPxbCE02QgEeuTAUAbg3o3zoIAcArk/ZfDyzbaWB1ek\n5gCRQySMYx/6IjahTHZOCMMl8O4tCY+VAblZGVuOobeZMJwj5RQBKlyByUASrfDuSOSlM8fj7aPk\nX4BISFDTg7c0XId9CB0S6kMm6EjqKybyjLxv5J43b97+6pn/4XvzdgbtVKF+HMW0IkUQjXkumRxD\neaoTbnzmKc20Wu5Av7GI45chEEkO2NgZYkXhlZEy2CBEYku+fwwkfdtR9XOBg9j1Zk5yCL7vE99d\n7Hv11hvF9s5LDNt7A439u4KdulUIRyBhPZBlwWSq37HkYCOSOvr9isShsXW2a7Vs4RojnDeBhBlA\n0ZIsBSIoNMIiHjfOAGB7Qd5hwtgxU4lClEW+QKQQvAYlq00pgwXeq8gNCMc6nhoQbB0plFqsg3Cm\nLFnCGWJRCo1wiQMEqJUsSgvZmG4gBgk9KLjJHawHqK9Zehi7h+dS/hZzHkrSuengUKF81tNlYlXy\nNMYA9QfytwPJH8m9Ao83b94eZf6H783bGbRThfphFNNch1n6sdR5Z9CiuN1kuLYC6igRxJRLwrKX\ngLV3KaWBBdY4hzTTQiP+GEb2EVDfwSWMjRZpmQGypvydZhPyDq5cLbb/7CuvEhHR9lCh2cNNVpep\n5sDqZ8DqDxja9UcK8QrdgASac0Z6TldIU8LCErnuKIS5KmPNu0BDePVXWqKrD2m66UjPGZmyfK5j\nd7HtAGPuqIBUtH7GXgj8OeZbNIGNX17kqA4q+UShsPnAwDcgDXh9mSM+1TI+0g72QjRE1iTBI1qk\nF0kVJcwhOPoMzbD+7nmZYdRdGi/swwCKuz+o0CPn7A91mbcPOgbzlpeWM1Bf+gO49uxZ7ll9b968\nPcJOV16bbJEVt7PBcXyUyq66VtfgPUrR0U4vFfD4kSsVBe/tNNCIiIyRAgt0+EKSzdRMHFOAgYRU\ncExGVyaeBN/aC/Oag9CQwpWHPdCJO2TPtRfpvgj02xJBGSOIv4+F6AsTzTWoQHy3XmVSqAxZXqXw\nKArAec3EczbmFF3V55hITabqVeMpeGohDxMoggpS8d7YmxDm0qGnGQ/jsgahGqgMhTKLy5zd2QCi\nLhS9OXxg21CsMicqRDm01s4dSkNFpuJjLLHFbfkXjmNdQRPG4aHTjkOGeB7rvg+PFcq5h+6YUIJu\nBWn1p7rvzqZmgmaCCCzKn0sXpqHcsxM6fO/xvXk7i+Z/+N68nUE7VaifpgltHnBzw+720fprIwHX\nNkC8pUVN5XRFDt2Jkhu1svytUahoMeNUCBeMb7p0TWyFTEDWuNAqkjVTwVDTMajpCGeUodQypJHW\narKN/I4cpwsS1nGIywwhigCzDQZ8vVUYTxOUiSpSpJNCmu84ZHIwBMntClxjRdR62ouaEl2SpUkG\nQp/TXOc6FbHPABjBWpvHkWNb6T0tSprK2FGVx6WhBpAvgIRgs8mwvV7Xa6xJOvKkq/NWx5p51/kc\nch1MiedyPAa58CGTZeWSkqc1UC6q1nmOYojJB8nQHZyOM+Pi+Imep1hOQhrEFHIDukOey36mD+uo\nygTlATQqfQjirnVpphnBs+M6Tbn0Bp+y682bt0faqXr8JE1oY4Nl+pIDflPFsb575oSsWQUNtO6h\nIoMbN98sjuOsJoRINVaUMN9Rwmp+gYmiJrRPLguJGIE6TZaol5tIwc72njZ5eLC1yeMB7bhalT1F\np7NU7MPy37Zox6E3c+TTFAg0FCRzYSYDY3Olxa2aesBO52jIM4HuJNmAv5OFGg4KwbN1lhlJlapQ\nDise1H2XiGj/QD1ORbT4VpfXdLzCdmKIKcLCEpd+B4ggFeIyG2GGpT4HURGKhEIkUfqxA72eRk3R\nTEkQEuokZvKcHOwqAhmLUk8Ife7IKIE2mtzh80FB01KH56olBCLRrDR4WVSGkrE+G4M+z8fOjj4P\nD4CoG4lnboCaVHmRr3GMTVmgNfe+6FXWoaBsJETrSDx+7j2+N2/eHmX+h+/N2xm0d4X6orX3m7Dr\nKhH9MhH9T/SYnXQmk4Ruv/mAiIiGhwzZ6jUlaOZbUoQDRNBgokRGWUifMsDCzYd8vO7+Az3OnnZT\neWrCsDSMtHNKqcLwP4Asr35XYdqNN7hf2TfevF/s29hhmDaGzjILAv3WeiqFbawSVo0aHz+GeLWD\n+JMQM92KzUImHLvRuByCKhCHFYC5E5EJ3+4r3J7kImO+r/uasHQ5LxlfH1nUTi01gfoTEHiMIDeg\nJoUwvV293q9/+atERHTr/maxz6a6bFoS0c+nr50v9i2K+GWpAXAbGNnSgM+JBGZLCN9RX5+H5QVd\nuiy2RJJ7CEpKMoeoQtQTqL+7rxD6rS2F41vyXC6W9f48tcjnuX79crHvwrWLxXZZMk77sAR99RbX\n1L9yV+fl3pYumyaSIVitbxT75lc4B2RrF5ceAOtlCYZZg+5xdN2j3k+xzdestS9Ya18gou8ioiER\n/Q75TjrevD2x9rhQ/1NE9Ia19i75TjrevD2x9ris/s8Q0T+T7cfupJNnGQ1FULAi0lF1gNstYYMR\n0ppAofXDN+8QEdGNDYX1m/sMXwOIYb9wVVnn6RLDp2FX4WmzzdAtaikz3oOWy98QqJ9AscquxEt3\nDnVJUJE01XFf4fDSgjL8yx0upKlDvLonUH4yhrwBEMEcC2OLUmJ1ia+XYV5iiM/3pYZ/a1t15qsd\nhvD7Q2XBh1B7P8p4vp76kDbVjIQ5x6XJwoLmUTjd9817d4p9D7dZ/HKa6nc+/9LLxXYY8vWsfEHn\n4Ie+6wUiIvrwx18o9lUaGnXJpShpfl7PvbPP5x5M9BrQb7nU5FIJirUkFt9uQQrsA4bgG0M9zq1D\nnaNcIPjHnr9c7KuJjBmKXKKOQSzRnUGyXex7UVpz55AyPYVIQlfuyzQEiTXp/XAAkSxMf04F4k9T\njIbI39Hj2Yk9vkhr/wQR/c9v/8x30vHm7cmyx/H4P05EX7TWOrbisTvprJ9ftGsiqjgvGV+9HfXE\nZXlbN2pQbNJSgmf9EnvyMnihc9KlJjvU4yzW9M0auDcmFFW4AgwsEsmAFKmKN712cbXYtyRqO6O+\nvrzWzjGaSEf6hq439dwL8025Vo2Vj6TQZgieq0TqpZyKTtPorenF7NGrNY0tO/UfIqKFNqMMG0HL\ncSnImfaV0Hv6ihJsly6xylFnUYuK3AxV6oi4IOOR+PxrVy/p2CV/Yg+8VDJSInVeevfFmXpVJ7Fe\nroKSD2QvjoXQtaB25NRnalX9u9FE71lfilWWoZS31eD5X1zVazRS2r0GHn9tU+coFpWhZ68qcoul\nz12ro8cpgyBpJNtVzDiVZ3RpWVHlsKfE5IMHQuBV9DgD8ei9kZKj+YyylMtChZLiI2XRKH/0aHuc\nNf7PksJ8It9Jx5u3J9ZO9MM3xtSJ6NNE9Nuw++8T0aeNMTeJ6Efl/7158/YE2Ek76QyIaOFt+3bp\nMTvpVMtl+tCVp4iI6KXmV4iIaP8tJaTOLzEsatUUxuZQ2PDhi0yi9KG+vS/ESgJtsqOSQqF5IfLK\nkO4aCoQMQd1nvq3x7OvnGAaHIKjoiEdTVtjuXpvxosLCvARx/C7/7fy8Xs+eEHFdgPpIGjVEcyCH\nQg0Hpxfn9BbUa0qGNWtcR1+paPrnJHfElir1LK3oOJtCepYhjXcihFMAadQpNKmMDI+jvajnbpR5\ne2FHUziuLiq56lSD6g1IcXXprkaPPQD9gaHA9gmkNTtBhXNLKr7ah6anIwePobeAS9+twr7L6xx/\nb+/p0mOFICdCmqPW4dzLy8xbl2B5lUNqcCCioe2GLkFfuMpKTAc9qKfv6pJiRRZWGUGehKQJm2Og\nPF+aCMciyegKyujxzGfuefN2Bu1Ui3SiKKJ5CXdFjsiDUNeli/xmxUKLHDTjmnP8txUguRqynU30\nDV5v6Oc1acedjoFMk1Je7BHXgCyxc5fEcwYQNhlJ+Sko0uRSTGJjHe8QyjAjCb8tLqmnfnPThXyU\n6EGrigrO4Ug9aLvJSKgMctQGCUGR2l69oB6nId19Kg1FKNh9J3T6e6hMJGMP4XoqoNNnXYELopol\nPmcTugmhx7JSRGJAWtq1J0+nOgeDRL2hFUWcEMKpiYSwYtDcDvBeSHgtIUUBGblz6t/V53k+qgtK\nui1C5yansoOtsyMJyaVQIIRBRSMIMoJQYmeVz9NZBwLzgj5jkwEfYZToXL6ywaFRVNFBT+4kIDM8\nuSChQqb7ZNye9/jevJ1F8z98b97OoJ0q1A+CkOrSKPH605eJiCjf1oy5isRgM8QyGai0iHhiCHlK\nJReLB/KuBm22XRvhINRjhkXHGRA/BMHMsmQTxpBV6LrLTAdQRy/wcgKx1gQksK3IwnTmdTyu7TTw\nhjMijB/+6PNERNQu3S325ecEakKuQg5Q38htLIW6xCmVqnJdILaJSqFy7ekYSDWpqa/CUgmlp112\nXADxdXc92F2HsPuOwN8cMiszIfKmIBo5gMzKqdx/bB9+KMU5KUDZFMaWSAx8AOepjF1dP7T9DhjC\nh1CEU63q9brlXwjFY649eDrEmLqOwy0PwlhJwrp0A5rC/MYgJx7X3LzoBY3kOAkcHPNLRtIYMwZZ\nn0h8t9MzOCHS9x7fm7ezaP6H783bGbRTb5q5vMhpo5/8wR8hIqK7X3y9+HxP6toTqOcu2aPwNAJ2\nOhDWOQC2NwIRxtwKqwyfO1FPxEUB1J1nktIb5rAUECY7BHkrmkg3ICikOOxqjsGoiGFjDoFrwKjH\nRvmxyxc43bXe1Ws8kOm43dN5SWEcrmsOwXgdiY76kAbQuEv7HPZBLko0CWDVQxbqwXNJew5Djf0H\nAv8N+JCZfjIC+zPIS5hIoVYX0okPYBmTSL+C/ghEJfvMqJeqem9DWFaNBQYPQFgzFvmyEsp6SReg\nMqRERxC5MBJFwnlLRrwEmkCuCMjhU1m6DRkQzqw3OS8kgfwE19iSiMjKMzyCbk37EhIaQHepBEVX\npbCrDJoQoVxbKvfhpPF87/G9eTuDdrq988KIWg1+Ez53/aNERLSyroUw+zvscZCDMgbefvKmi6Hv\ncSiEXxTrpSCJkmWuCwp6SCFwgCAj6NgTx+yhk6kSjyXXDhpcgZPsHgOZtbWnmVpjIbzAERdeswKo\npQq5DM0G5zKETZB3ztnT3LVA+AF/5i4thSzHVOLnIbTOJiDlcsnIGx+qh3Sdf0oQpx+Dl5pKTzdU\neQmFXA0D6KcHg7OiSpMOdC6H+5yj0OtrrkIfyp1db74h9pATxaAKFLXEkAqRSRLCBEQ9h6JAOYCC\nGkf2hkBGhvC5ywDFfI2R9DMcQfFMBGSya6MdEOY/cJZfNFYEeP+OKjqNchF07el4727xszOcHi27\nJYLS2xkGz8hn0jWITmbe43vzdgbN//C9eTuDdspNM7V5ZaXCUOkjL3yk+PzGl18iIqL0/2/vWmLk\nOqroud093fP/2PFnMs7YsRIZ2QmQEKFEyQIFECFCrNggxALBDkEISJCIRcQSCUFYICRExAIh0Ly7\nBwAADIVJREFUQIQIIi/4OdlicJxAEn9iGye2x2O7Zzw90//vZVG3uo7BzszYMz3T7jrSaLrf6/de\n1atXr27duvcckjWWRjARa1ULkSUJ45SZ6xzKmSTWk6aZVErKKD7xQUhEks1Tv6bfJALIppn1DV6z\nN8MqR8om2Rwx9FioboXELmsmiDjQH8o4QXEHoxMuwWV4Vwi11YQlMlF5SmR21sycTlOsQt2vH/O0\niHLVvXlaLobpgXeQ1UrBPBUWE7W6V5bCMf6295FzFMzvbzLP5cXgyCtavAATSTKrTMM4APLk3CuY\ngpEXEAVCnAQQ1I+aFONRtKlPX3iEkDaz3kuuA4BWiIvfqpYeDWG8TXFtcf7dwPxUb4Xksq1zVjbi\nB6h51h5SJSrSrbxkjE5ns+Fen55x56zS1LGfprBJ884m6RlsO4vjOn5ERMRy6OyIr4qq6Ys1baQ+\ncP9H2vv/9ffDAIASpYKmKbmjWnbvs2FK3MmYI4ppoIWWarwTK09pmJpwb+GhifCGbjTJiWWjS5Ii\n9xrqtnFUVclGw/k8LYnRKNZvw1ChSOo7liJ6x7YwymfGQrpnZtBt18kwIk3Y8mKCRvwqR8LZ/iZZ\nLT5iTMmq6eckHxsakiQpftWUXpISzj02Tkk+3hIjJ6F3IlYpVbpJDkEYh2B5MTjyikX325oGy4El\nvMvGwLPAS3w2Cl6l5VKlZyPjl0RpzbJmI+NiObR9f7/n5qPlPFoWTKXdUuUA7R9MOut0lFRvTr1z\nqv357BnH41ejNimahTi9d6q9bXg03Mslo6E7cyXcl4tZV19Ww2EOwXGjax9JUlqu3beKbxNZ2Zgf\nR/yIiB5E7PgRET2IFZn6IvI0gK/A+efeBPAlAJMAfgPHzPMagC+q6vvS6CoUDc88YiZmZiREgZUs\nOWMuFxwn2zNEu2z/m2zOeGpq9tNxEo/low+Rws3SVXf++YthXVXJ7FTLtm6QeGTGCDxbCVrftair\nAklnU94IYA6eDB1zzy6Xt751e8hfLyeI3NISSmQ41HFwzK2vb0mE6UGaiEK9k6tJuehe0SdB2UCk\nbt1mFxqjKYdXNapz3nktTFO8sGgqHcrmSTLrNFVazAWaadjUp07TnVLNnb+RongAohhfyLopx9zV\nYOr7fPM8RQD2kTMzYQ/AIMVwwCL3yhTfkCs6UlAWJe1PU4KXSZ4ni8EZiZZrky07wrN6YHBf+/Ps\nOUelnafpTMGi7/rIiZsjh+xli8KcnQtTl5KPAAxXxhBFdQ7L/yfk58yRWjeC2jVbxxeRKQBfB/CQ\nqt4HIAnHr/99AD9S1XsALAD48gqvGRERscFYqamfAjAgzms2CGAWwOMAXrT9UUknIqKLsKypr6oz\nIvIDAOfg+KL+Amfa5zS4VS8AmLrBKehkIXTWa9wrGTaj5t0+c/Zce9vE/vvanxMZ91slU79pxk2J\nPLcJSnLoN/33gSFK7kg4M7u4RFzupWDaLeScqZnNh21TJpLYR97eitn1JfLklyj/esFMv51bgzk9\nPeCSlKpkXi4qhX/6+0He3L473VRg92NBrKhK2vJ1m5pwaHDCpgKcO18lM7lhZmWK9AYyFr+QGQsm\nbasV7luj6spZyIWw5AtZpzpUI1O/Qfcj4YUklXkKbNv1wyjw3mmXuFWhpJhBW2GpUZI+x1T46dkA\n3QRPTlmshGOuWGhwnY6dGKE2tQSihXyYHvRbUpLUw7lrdC9TDWdmN0uUW29ht4WFoDewRNdcMN37\nPHHtN23lIknP9yAnTNn+JXq+81Y19asZa0W9JSITcDp5dwO4E8AQgCdWdvprlXTmSa01IiJi47AS\n594nAJxV1SwAiMhLAB4FMC4iKRv1dwGYud7BrKTzwfv3ac0ir/KWQFGlt9fUtKO1fvvI0fa2vbv3\ntD/faQk+qVZw4NTtLVymJI8SOZeSFimXphElYVZCvRXe2sVaeCldvuqki+sZSmq5y52nRs6y7IKz\nMt6bDSNgrhBGqbKxvExbvQBgerdLSpot0iiTv85rmjaJ0Wvv2BcUak68c6b9eW7eiRhNbwnl9SSj\nKSLOrFbDKLZkTqU+SoRp2qiRIjpq8omiVHTOtvPnz7e3XV50wkpbtwcn7PhEsBik6epZL4fRzmva\ncZpwkaL0jp9yVgQnvYybGhEpRKNCUYVecWaEvFueEr1YCb9bstTjAVLkqVKkYW7B7c9eCs+QFt3+\nGlkBNSJvrZnSTqlEUaZWt/SOcF8qFDmZy7kRv1Ag7TyzZjIUbVmshAf3nJWTtzUsdLLf0tdbunbr\n+OcAPCwig+JiXT8O4BiAVwF8zn4TlXQiIroIy3Z8VT0M58Q7CreUl4Abwb8D4JsichpuSe+FdSxn\nRETEGmKlSjrPAXjufzb/B8BHV3MxbSnqRpqoZur31YP5tHubM4OPLAUTfH42rI3u3me56pyvbP8H\nh0kok7g66+asUVrL9Yw5LVq7r1O4ZdJCJocGw/p6w8y43HwwjY8fc2Gbly7Ot7elWIWmbCKHdRJG\nNIu2sEiJFslwnTaYzdF+WkCo4/yVUN7srItL6Jewf8wcpSliM1JyfI2MumsmKeEp3Y7IJSYfmu5k\nWu6YibHgjNw5fcAdS16oSolCbe2+CzkrW8aRUK2Fdr58+UL782LOOcR2jlPYsomnDtEje424pD0T\nmglm8OC4M62rCTLR1Se60JhHSVRjPmR6OLRPzpy8KRIQnSR1JLTc1KZUCuUteYcrCabOkAN6ycKR\nmZXHJ4IpsTOVWSbbzPgmEVb4ZKPMgGubRGLtTP2IiIjbDB1N0mnWa1i65FIbazVTAKHEkyF7o+0h\nlZNyIbwlczk3+g80g5MknXZvuhQxwPRlwltShoyTjJlMzKHYoDWkaxihR+wtTSNfwZJD8sUwynjH\n4RjRM9foDV0xZ9DRN8+G8phzM5MJI8bozqA197qV7cArIQV05tDXAADPnwgjaalBI7Hp0kl+f3vb\nHT7BiCwd9tQlzVZqUkSdp/K5Js+D6J9b5gwdGmLdODdiNYhpplEJbdayKLM6bStb2m92IVhz2dkw\n4k9NuFF3amdYBk2ZY2yEEqfSmWB5pPpc2fuITadkTrAGsen4EZKTujja0i8Ljo6Qo9QiJhulYBko\nJfY0jBkqSfo6Ysuk5XK4v/lceHa8Rh8jZUuwvFy9SI48L3XEDEjDCVeOkdWpZMcRPyKiFxE7fkRE\nD0LYbFj3i4lkARQBzC332y7CHYj12ay4neoCrKw+u1V12zK/6WzHBwAROaKqD3X0ouuIWJ/Ni9up\nLsDa1iea+hERPYjY8SMiehAb0fF/tgHXXE/E+mxe3E51AdawPh2f40dERGw8oqkfEdGD6GjHF5En\nROSkiJwWkWc6ee1bhYjcJSKvisgxEXlbRJ6y7VtE5K8icsr+Tyx3rs0EEUmKyOsictC+3y0ih62N\nfisi6eXOsVkgIuMi8qKInBCR4yLySDe3j4g8bc/aWyLyaxHpX6v26VjHF5EkgJ8A+DSA/QA+LyL7\n3/+oTYUGgG+p6n4ADwP4qpX/GQCHVPVeAIfsezfhKQDH6Xs3cyn+GMCfVPUDAD4EV6+ubJ9157pU\n1Y78AXgEwJ/p+7MAnu3U9dehPn8E8EkAJwFM2rZJACc3umyrqMMuuM7wOICDcJHecwBS12uzzfwH\nYAzAWZjfirZ3ZfvAUdmdB7AFLqfmIIBPrVX7dNLU9xXxWBlP3yaEiOwB8ACAwwB2qOqs7boEYMcN\nDtuMeB7AtxGYy7fiZrgUNwfuBpAF8AubuvxcRIbQpe2jqjMAPNflLIBF3CzX5XUQnXurhIgMA/g9\ngG+o6hLvU/ca7oplEhH5DIArqvraRpdljZAC8CCAn6rqA3Ch4deY9V3WPrfEdbkcOtnxZwDcRd9v\nyNO3WSEifXCd/leq+pJtviwik7Z/EsCVjSrfKvEogM+KyLtwwiiPw82RxyWID3ZTG10AcEEdYxTg\nWKMeRPe2T5vrUp3ayzVcl/abm26fTnb8fwK417ySaThHxcsdvP4twfgGXwBwXFV/SLtehuMcBLqI\ne1BVn1XVXaq6B64tXlHVL6BLuRRV9RKA8yLiJW48N2RXtg/Wm+uyww6LJwG8A+AMgO9utANllWV/\nDM5M/DeAN+zvSbh58SEApwD8DcCWjS7rTdTtYwAO2ue9AP4B4DSA3wHIbHT5VlGPDwM4Ym30BwAT\n3dw+AL4H4ASAtwD8EkBmrdonRu5FRPQgonMvIqIHETt+REQPInb8iIgeROz4ERE9iNjxIyJ6ELHj\nR0T0IGLHj4joQcSOHxHRg/gvJKSlqJIRUsUAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da447cb70>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 11210... Discriminator Loss: 1.3557... Generator Loss: 0.8923\n",
"Epoch 1/1-Step 11220... Discriminator Loss: 1.5899... Generator Loss: 0.7487\n",
"Epoch 1/1-Step 11230... Discriminator Loss: 1.2507... Generator Loss: 0.9168\n",
"Epoch 1/1-Step 11240... Discriminator Loss: 1.3095... Generator Loss: 0.8921\n",
"Epoch 1/1-Step 11250... Discriminator Loss: 1.5450... Generator Loss: 0.6646\n",
"Epoch 1/1-Step 11260... Discriminator Loss: 1.4563... Generator Loss: 0.9997\n",
"Epoch 1/1-Step 11270... Discriminator Loss: 1.3845... Generator Loss: 0.8956\n",
"Epoch 1/1-Step 11280... Discriminator Loss: 1.4630... Generator Loss: 0.8149\n",
"Epoch 1/1-Step 11290... Discriminator Loss: 1.2505... Generator Loss: 0.7907\n",
"Epoch 1/1-Step 11300... Discriminator Loss: 1.3488... Generator Loss: 1.0223\n"
]
},
{
"data": {
"image/png": 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w/mUcly+o5Hm7A6RdU0J3CZbB8j1vQDZfFUJurhegBZnuLOdxzgp9Hg6FhJxD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\nQ4ZVFDwoy5wL2TYFWesp6Nk5HblWU0mqRDzXEEJ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ABH3J+rtzU0M/E+I3r/PSRCff+itS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\nRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da48fb2b0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 11310... Discriminator Loss: 1.4269... Generator Loss: 0.7955\n",
"Epoch 1/1-Step 11320... Discriminator Loss: 1.5527... Generator Loss: 0.6192\n",
"Epoch 1/1-Step 11330... Discriminator Loss: 1.4390... Generator Loss: 0.9324\n",
"Epoch 1/1-Step 11340... Discriminator Loss: 1.4394... Generator Loss: 0.6186\n",
"Epoch 1/1-Step 11350... Discriminator Loss: 1.2852... Generator Loss: 0.7538\n",
"Epoch 1/1-Step 11360... Discriminator Loss: 1.2607... Generator Loss: 1.0253\n",
"Epoch 1/1-Step 11370... Discriminator Loss: 1.3005... Generator Loss: 0.8196\n",
"Epoch 1/1-Step 11380... Discriminator Loss: 1.5029... Generator Loss: 0.8377\n",
"Epoch 1/1-Step 11390... Discriminator Loss: 1.4446... Generator Loss: 0.8927\n",
"Epoch 1/1-Step 11400... Discriminator Loss: 1.2528... Generator Loss: 0.7855\n"
]
},
{
"data": {
"image/png": 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BeDqo/4Hm+NJK61NE9DU6ZTcdbKhRjs+8GNCbN28n2Kl/icaYGhH9EyL6T621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\nSxXrz8ioEstkxQUvaInGbInqLqY1AWzJGSkdAkDr5DIu03MQCM5eSlK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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da46bd198>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 11410... Discriminator Loss: 1.5148... Generator Loss: 0.8904\n",
"Epoch 1/1-Step 11420... Discriminator Loss: 1.3747... Generator Loss: 0.7251\n",
"Epoch 1/1-Step 11430... Discriminator Loss: 1.2497... Generator Loss: 1.0771\n",
"Epoch 1/1-Step 11440... Discriminator Loss: 1.5128... Generator Loss: 0.7344\n",
"Epoch 1/1-Step 11450... Discriminator Loss: 1.2396... Generator Loss: 0.7375\n",
"Epoch 1/1-Step 11460... Discriminator Loss: 1.4684... Generator Loss: 0.9293\n",
"Epoch 1/1-Step 11470... Discriminator Loss: 1.4544... Generator Loss: 0.8491\n",
"Epoch 1/1-Step 11480... Discriminator Loss: 1.4127... Generator Loss: 0.7527\n",
"Epoch 1/1-Step 11490... Discriminator Loss: 1.2788... Generator Loss: 1.1250\n",
"Epoch 1/1-Step 11500... Discriminator Loss: 1.3754... Generator Loss: 0.7059\n"
]
},
{
"data": {
"image/png": 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9o100kfbwm4wwxMrPizU6/uO5UCIvT2ZQtith0G5HPXECDU0qksFZAZgWRLJ9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\nAxEe/ICADsT/AMrJS4yeGU5UAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da40c3470>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 11510... Discriminator Loss: 1.2868... Generator Loss: 0.8759\n",
"Epoch 1/1-Step 11520... Discriminator Loss: 1.5955... Generator Loss: 0.7895\n",
"Epoch 1/1-Step 11530... Discriminator Loss: 1.4522... Generator Loss: 0.9598\n",
"Epoch 1/1-Step 11540... Discriminator Loss: 1.1838... Generator Loss: 0.8858\n",
"Epoch 1/1-Step 11550... Discriminator Loss: 1.2494... Generator Loss: 0.9102\n",
"Epoch 1/1-Step 11560... Discriminator Loss: 1.3684... Generator Loss: 1.0006\n",
"Epoch 1/1-Step 11570... Discriminator Loss: 1.2447... Generator Loss: 0.8008\n",
"Epoch 1/1-Step 11580... Discriminator Loss: 1.6734... Generator Loss: 0.6938\n",
"Epoch 1/1-Step 11590... Discriminator Loss: 1.2360... Generator Loss: 0.7650\n",
"Epoch 1/1-Step 11600... Discriminator Loss: 1.2692... Generator Loss: 0.8925\n"
]
},
{
"data": {
"image/png": 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5pSO9p+OM/xYFTi0Q3a4RZwUyTueErLSy1Ao+iCIdaaX1USL6Ih2zm45vqOHN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\nKfVJL9Qs+erbUbAKSEYaYVjbVjSqPjklYsWoz7hcIOjSZe/jLhQDmZb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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da43dd940>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 11610... Discriminator Loss: 1.3321... Generator Loss: 0.7206\n",
"Epoch 1/1-Step 11620... Discriminator Loss: 1.3030... Generator Loss: 0.9384\n",
"Epoch 1/1-Step 11630... Discriminator Loss: 1.4545... Generator Loss: 0.7635\n",
"Epoch 1/1-Step 11640... Discriminator Loss: 1.3959... Generator Loss: 0.9490\n",
"Epoch 1/1-Step 11650... Discriminator Loss: 1.4048... Generator Loss: 0.7957\n",
"Epoch 1/1-Step 11660... Discriminator Loss: 1.5312... Generator Loss: 0.8739\n",
"Epoch 1/1-Step 11670... Discriminator Loss: 1.4612... Generator Loss: 0.6763\n",
"Epoch 1/1-Step 11680... Discriminator Loss: 1.1386... Generator Loss: 0.8367\n",
"Epoch 1/1-Step 11690... Discriminator Loss: 1.6632... Generator Loss: 0.7885\n",
"Epoch 1/1-Step 11700... Discriminator Loss: 1.2312... Generator Loss: 0.8279\n"
]
},
{
"data": {
"image/png": 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GIJ2bdb3GyysuTN1rKpLZPtLw5WjkrvF4oOt8aG+EMHLxQXl8Y8zfM8Y8MMa8TOt6xpjf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\nEgYQ/wMs/RrB0yHuhwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da3d307f0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 11710... Discriminator Loss: 1.4111... Generator Loss: 0.8266\n",
"Epoch 1/1-Step 11720... Discriminator Loss: 1.3457... Generator Loss: 0.8164\n",
"Epoch 1/1-Step 11730... Discriminator Loss: 1.3250... Generator Loss: 0.7632\n",
"Epoch 1/1-Step 11740... Discriminator Loss: 1.4381... Generator Loss: 0.8089\n",
"Epoch 1/1-Step 11750... Discriminator Loss: 1.4645... Generator Loss: 0.8010\n",
"Epoch 1/1-Step 11760... Discriminator Loss: 1.3394... Generator Loss: 0.8888\n",
"Epoch 1/1-Step 11770... Discriminator Loss: 1.2586... Generator Loss: 0.8806\n",
"Epoch 1/1-Step 11780... Discriminator Loss: 1.2871... Generator Loss: 0.8592\n",
"Epoch 1/1-Step 11790... Discriminator Loss: 1.4190... Generator Loss: 0.7568\n",
"Epoch 1/1-Step 11800... Discriminator Loss: 1.3011... Generator Loss: 0.8448\n"
]
},
{
"data": {
"image/png": 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ddLx58/btZSdh9Q0R/W0ietVa+9/DR76bjjdvH1I7CdT/HiL614no68aY35ex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\ngIgTPyJiABEnfkTEAOK/DrUbfF6TsjoAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da3bfc4a8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 11810... Discriminator Loss: 1.5680... Generator Loss: 0.8663\n",
"Epoch 1/1-Step 11820... Discriminator Loss: 1.4439... Generator Loss: 0.7407\n",
"Epoch 1/1-Step 11830... Discriminator Loss: 1.2312... Generator Loss: 0.9643\n",
"Epoch 1/1-Step 11840... Discriminator Loss: 1.5059... Generator Loss: 0.8405\n",
"Epoch 1/1-Step 11850... Discriminator Loss: 1.2742... Generator Loss: 0.7685\n",
"Epoch 1/1-Step 11860... Discriminator Loss: 1.3000... Generator Loss: 0.8343\n",
"Epoch 1/1-Step 11870... Discriminator Loss: 1.5035... Generator Loss: 0.8467\n",
"Epoch 1/1-Step 11880... Discriminator Loss: 1.3962... Generator Loss: 0.8547\n",
"Epoch 1/1-Step 11890... Discriminator Loss: 1.3165... Generator Loss: 0.8841\n",
"Epoch 1/1-Step 11900... Discriminator Loss: 1.2998... Generator Loss: 0.7774\n"
]
},
{
"data": {
"image/png": 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7GPZYOZy74fLqHK4xAxJyyiHNEYSlhrw9gJz0EegBTnkOLZTlpox6YArmsiSt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\niEZE9MvkO+l48/ahtceF+t9PRG9Za2+S76TjzduH1h6X1f9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806tmkV13qcdzs+G5ugbX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\nAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da4524198>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 11910... Discriminator Loss: 1.3885... Generator Loss: 0.7595\n",
"Epoch 1/1-Step 11920... Discriminator Loss: 1.3611... Generator Loss: 0.8702\n",
"Epoch 1/1-Step 11930... Discriminator Loss: 1.2886... Generator Loss: 0.7828\n",
"Epoch 1/1-Step 11940... Discriminator Loss: 1.2814... Generator Loss: 0.8035\n",
"Epoch 1/1-Step 11950... Discriminator Loss: 1.3590... Generator Loss: 0.8102\n",
"Epoch 1/1-Step 11960... Discriminator Loss: 1.3776... Generator Loss: 0.6348\n",
"Epoch 1/1-Step 11970... Discriminator Loss: 1.2823... Generator Loss: 0.9209\n",
"Epoch 1/1-Step 11980... Discriminator Loss: 1.5918... Generator Loss: 0.7585\n",
"Epoch 1/1-Step 11990... Discriminator Loss: 1.2999... Generator Loss: 0.9440\n",
"Epoch 1/1-Step 12000... Discriminator Loss: 1.2886... Generator Loss: 0.9465\n"
]
},
{
"data": {
"image/png": 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Q0S8S0WvW2v8FPvLddLx5+4jaSaD+txPRf0JEXzHGfEnW/bf0NXTTsUTktDUj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\nw64hf5/s22fp3o6UfpaV4GzQtU4qEb1IpcuFxrys12CJCMyyWgfLZDm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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da3d80160>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 12010... Discriminator Loss: 1.3893... Generator Loss: 1.0843\n",
"Epoch 1/1-Step 12020... Discriminator Loss: 1.3826... Generator Loss: 0.8926\n",
"Epoch 1/1-Step 12030... Discriminator Loss: 1.5257... Generator Loss: 0.7666\n",
"Epoch 1/1-Step 12040... Discriminator Loss: 1.3441... Generator Loss: 0.8539\n",
"Epoch 1/1-Step 12050... Discriminator Loss: 1.3652... Generator Loss: 0.9032\n",
"Epoch 1/1-Step 12060... Discriminator Loss: 1.4243... Generator Loss: 1.0420\n",
"Epoch 1/1-Step 12070... Discriminator Loss: 1.1094... Generator Loss: 1.1120\n",
"Epoch 1/1-Step 12080... Discriminator Loss: 1.3395... Generator Loss: 0.9102\n",
"Epoch 1/1-Step 12090... Discriminator Loss: 1.3288... Generator Loss: 0.8957\n",
"Epoch 1/1-Step 12100... Discriminator Loss: 1.3541... Generator Loss: 0.7103\n"
]
},
{
"data": {
"image/png": 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Hgfr/iIh+6jvGfpGIfldrfY2Ifpf/25kzZ0+IPRbqa61/Xyl15TuGf5qIfoy3f4mIfo+I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\nNlT1nXPnReT7wDhQBv6CV+3nnGtkbp8D9m50rmqlxswlHzZaS+qyVwy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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da3ec7f28>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 12110... Discriminator Loss: 1.3892... Generator Loss: 0.8427\n",
"Epoch 1/1-Step 12120... Discriminator Loss: 1.3067... Generator Loss: 0.9743\n",
"Epoch 1/1-Step 12130... Discriminator Loss: 1.2540... Generator Loss: 0.8069\n",
"Epoch 1/1-Step 12140... Discriminator Loss: 1.1483... Generator Loss: 0.9029\n",
"Epoch 1/1-Step 12150... Discriminator Loss: 1.4093... Generator Loss: 0.9016\n",
"Epoch 1/1-Step 12160... Discriminator Loss: 1.4080... Generator Loss: 0.7713\n",
"Epoch 1/1-Step 12170... Discriminator Loss: 1.5690... Generator Loss: 0.7068\n",
"Epoch 1/1-Step 12180... Discriminator Loss: 1.3836... Generator Loss: 0.7119\n",
"Epoch 1/1-Step 12190... Discriminator Loss: 1.4461... Generator Loss: 0.5718\n",
"Epoch 1/1-Step 12200... Discriminator Loss: 1.3887... Generator Loss: 1.0066\n"
]
},
{
"data": {
"image/png": 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RNHil8oYPII01LHQ2zRM+T4guN3F/xSDdHUiBiyIB5DBVMudI4sEnUHQtkwjB\nnHAGVKu3+K3fXlit2ooaH2dvX8eiFupMPjzg/u4dKRE6Eg26NshjBzDL7U6dK1L70ZJZcwzjO4YI\ntbqgg21YIQ6FkEJVQSwcUU22MAaaI/EUF171bJ2cqRNoq0NEXihkWwluNncZMyhDOJG2CGoPtrtY\nP5DPtAssYSJk5QTOPYNnI5dZdgyuTyMqRP2BQrNoqORsKfvUIO22s7ApfxWddlvaz564FYMW5JhI\nP8eCiL5n5B4RkTGmRvyj/zVr7d+S5i2pokMfVk3HmzdvP1h2FlbfENFfIaLXrbX/E3zkq+l48/YJ\ntbNA/R8non+fiL5ljPm6tP2X9F1U0zHGqJikg9uATXKRxX50pCTJ9p5GlnVF4SSbaFsYMVSysUKm\n6Vih/nuv3yUior33NYFlcY1VeyyorLQXQRZ747r0DVJAp+xXR4HOWsSRcgWQNiOIDdiXCjcz8D1P\nBDbOgITCCLblNSZ2jkBMMwwFloMU+WSisP5gn8drBFGDLsV5C6q73AWZ6VjIvQYsBSYzXs4EAGOn\n0E9XLWcM08VYEqawRhyW/XZ749KwstPaiBTXz33O24ep9me1D1BfCNbQArkqcBuj9Gry/HVBxelw\nouPyUGJAsCR2KITsGO7TBMYoEYiPYqfHB7zkO84x5kTHui2xAe0VXTouX79JRETr65qWO5e26yIm\nITAhlESzhszhp47zKXYWVv+f0lMV0H01HW/ePonmQ3a9ebuAdq4hu4b0TRNLeCj6kVNRJdkdKUt+\nf0+FHZdXJXlmBjr1TvN8SRNY2gAB1y5JDn+o+5g6LxVaC6raEzdUgSeQGAMD0C5q8+eH779btZUC\nEcO6JsdMMoWie5Kbvwf+9WNh21P0TGB+e5uXHBb6k4ui0HGpSyAMix0JIDuAY97bZah5H8J0CxD1\nvLkoud9LusTZ3uXlw+4+LCNgeXEspaORwc8kASafU9OBLzifvcHG01h9GARh1rGYqPvuNoxlf1nD\nWY3EIAQQPR2Isk4ISVBW+rsLRTPvg7fEVe/B5zIXP/0I4hPwalxzAuOfSuUfLJ3daunPrSbP0+o1\nVW/afP42EREtL6m3KcZqQQLjcSnlEqacatEZSX0/43vzdhHtfBV4LJGRkKWa+LND8C27V9loDGTL\nrs7Uz2fs3wwgGi2b8iz4cEvJu8MdneUWBFlcu6n17ZpCtoWZnicfqR9/csQEXWmUMBwPGXkkUG/P\nCOlWGnVjxBazAAAgAElEQVQUH89w1hX/+6HODzMpIZ0DIYjRW5GkiQRQIy4z/N1poPuEIAceykyT\njMG3L8fHSK5N0OnriHZdCXBj/TIfM4DZLjrQ640EPexAgstIogoLIN3mJ3K5NqikU5XNgalrriy4\ntM+l7UqXhvC1NFYft8kZCRT4PMm2BcWmRMblEBO5gJRbFr+7PhlEozEfO80wIhEu0RFqeD3uEqGO\nYwmIoSGp31fWn6vaNjeY3Gs1oMoP3L9TwhuqzVy0/c7I7fkZ35u3i2j+h+/N2wW0cxfbdPDN5SHH\nCHNdocexEjh3H2hA4A+NWWq4BT7UVp0hcQRxme+89rDaHgi6WqlrjnN/RaBkBu+9Uv2t6Zh3OtrT\nYpjDKROCSCj1RD47h7DXGZQ43jnm40wgDztPuZ9YLDSAvPKjwsFpXXoYkf2Jakr4NRsK9dsdPubS\nVKF+KiTYw0yJuif7Cm/Hcu3tJUh46vD2LNJrDDo6Lo2S+9kGIDwRgnOaAqsGVi3lIC6hcLn55vR9\nKoMcfiNzVApwOoFxC50uQx0UkORvDUJ2nW8/hOO0Y4iZkDLoBcQvOF95E5SFElgeOJ61CWRkLMvA\nOiQA1YCoW+oz6XzlupZv7y9KQtkcoUcntrGtWg2dMTnHmZ/xvXm7gHa+CjxhQF0hmJzs9Wiis1RD\n1GmGQN5963VNl71xhZMBb6yr+6wUJZpLa+oW+YkvAoklb/b1T31W265JfbtIv1fmes5kj6PzOh2d\nKpZvcW2+Gkhl50P+XpqoO+hgVyP3Hm8zWtnfUdSSSEIPvp9bMOOUA1G5gWIRLsuk31eyMa5r32vi\n+lvqqRtoUaLNXlrQyLA372vE431JZllr6uy+dpNrAB6Bpt6TXSVNKWaCcxKqW7FW8PVGM0VpyO25\nxKACUFpVeGIuMA8SciptOoi4k3TcBqQrl5DSHYY8HnFTH2lXQ7HIFenMCt5e7iiayNENV/B5YuhP\ntymp0pCSXQDxmLoCLXCNpSCCZg1rP0L58Y7UNuwCSeuegw+ZvO1cghefJ3d9ePaulfkZ35u3C2j+\nh+/N2wW085XXNgF16gJHhwyvujVIfG5JNN+iEiLTVOH2g20mvFaXVd7PCLFmjxVudwYajZYJ+Jla\nJbnCMRNwQVOhcQkVcrK6VG1ZU2njsMNwOoWowb3HDPXfekuXI3/vn79RbX/jrbtERDSCUtQOpHUB\n3q/1dOliRCI72QYN5TrDweMRqOFAglFDSC7UFyjEx50GCnNXrgDBNuSlzQQItPe3GcqPQeEIOC4y\nhuF0AbrWziVfg0SkAmSkHeRFMtOF9tl52R3YdFVz9PHstXlJstBTgjNqKvaOQj5/zYAfX6SP6qTj\n3w15uVRCfcUUiMdjqftXw3AAqWmHVXpSeC4LF1EHENzFC5Tg8I8hWSjL+JxPHigZvHBZCF2o49ho\nKbnqolTn603y9pGQlqjm9CzzM743bxfQ/A/fm7cLaGYebn1/rdXs2BeeZ0bd5ZNjgcvA6dC3Farf\nvqIyRK/c5Dzl29fUJ7+xxjDYgM75wc5WtT0bMwNdFid9xjnkrxc5lHkWGDcBpvpYwmGPIEnE5b8n\nAK8mEIpbnjK2VhjtjRW9hmtX1SPxa7/7x3xMKCY6HPG5MbQUE1gigfoItyMpJopVkw1KWQlGnwuV\nlY/Rj4z7h3JOAwUwHas8BsmxKXhqJjPeTkGWqqz6AeGoAZ5T9OUXNC/9My9yDMek/cWqbQQyW0MR\numw0wLMhee0FVGt69P63uI9HGusRxwr7B32+Lw3Qh0wnvLybwjJvBnEWMwkbLyEhp9GQWgiw/ALp\nA5rNeLyOQEx2X6TlcpiPbQDJWm75AMvStiydX3qeNSZe/dY/oePR4Yc69f2M783bBbRzJfeKsqTD\najbgd46FWaomUVPLGyrY+9wLWib45jV+u12/ClF4UmMuPVb/eZBC7T0pO11vKElSc1FeQDjZAv26\n/EYdj3QW23rCxNf2vr71D2cSaQgJKk9A5cZFdNXhVe8ERaNQv5dAdN1QKgeFwC6VkqQTzkWBAfsk\nVpRQp03GtwH+/nZTZw83C+Ls4WZ/rDU3BgnymSAgC7Ozq2SUQqnwoKETTiDJORYrz8jsbyChBpVj\ncvnu4URnwwdDHneDSksQ6zAzomizpKnWdpkj4bbv3anatnZ5u17Te7a0rglcLnouTfSepAk/s4lV\nwjUnSBSzotpTaH+spJg3IRW311FSeiDKO/FQ0e3xXR7DFJCoqStiIPfcznRcJhJ/8mjMfUvnc6Kf\namfR3GsYY/7AGPMNqaTz30r7DWPM7xtj7hhjft0YE3/Ysbx58/aDYWeB+gkR/aS19jNE9AoR/bQx\n5otE9D8S0f9srX2eiA6I6Be/f9305s3b99LOorlnicjhnpr8s0T0k0T070r7rxLRf0NEv/KsY5W2\npGnC8LkmiQ81kOPvCal3bU3DSK8v6bvp6gp3dwDoJyoZAkaxQq/+Na1EEonAYYCy/86PDE7qEsi9\nYsYQFKJzqRUxPO1BBRunY78/UbgcFgpfZ7J8iOA4peD/AspyI0RMBHrXAfrWJeGj3dDbFdcQTvNf\n9GEvdBnWY9HFThsKZMp4BCUSnJLTDmTlISTA7x1yP3aGCP95O0kAnuKSRFZyKSyHUiGpzFP8+FZI\nzGSqkHYkxBfVAYIPNX6i3+LrvLasz8vjrW8QEdH+W/+waoszjr24uqTPSCfVpcDoDu8zHiusd2PU\nhJiHBmzHxPfS6TMQEUUBjyVEBlMTqixd2eDlxdV1hf9Jyj79O3eVeDRWw6yjSOJKQATWSrFQFzdw\nVrL+rLr6oSjsbhPRbxPRO0R0aN1ZiR4Ql9U6bd+vGGNeNca8WpYfko3lzZu3c7EzkXuWaxy/YowZ\nENFvEtGLZz0BVtKJotim4vZpdPgN3e8ouTHos2tuGWaplYFuL8hUH2EtOnGh1Go6m9XqEO3kUhnx\nTehEYeDqHYFGRBRYqVFGMFXbWNrAZSZEUwPkmQ1EgW0d8OyUw+vV1XGzEB1H4JrLReWljckdogFY\nByI0DnT/nhCXy10l7y6vMQG6saYzW7+vEYKuJDaWB89Svo4MXJJDmPn2D5hAfe0dnWnv7fE1HkMq\nNbodAyEhQ7hGh1AsuPjmAvdcTULQFZyOuB9Z/l7VNgDi7IVlrjw0efhO1fb47a8SEVEr01nzlhDD\nax0dv4NdTaKKpPrRAAhOp3tXgqx1Bn0rJQozKIHElWuICFBAomSxFTfelVV1WdLL/LPa2Vai+hjI\n1bAuMuugDEUSVRiEjsQ9W3ruR3LnWWsPieirRPRjRDQwxrgrvUxED5+6ozdv3n6g7Cys/orM9GSM\naRLRTxHR68QvgH9HvuYr6Xjz9gmys0D9DSL6VWNMSPyi+A1r7d8xxrxGRH/DGPPfEdEfE5fZeqZZ\nYoKPSItDNlsK5VtSBLENUVP9jsIal69PM4WfRkiWMAJ4b09GgZkAobXAIXB5BiEo4hiGrQjrqRTh\nxgyTTaTwIdTODoHJc8rUOxCdmAgETCHjo54oHCyEeESf/WmFELtNvd5r60z6rPR12bQ0YFi/DPn4\ng75uO2WcDCIEXfRiBvnpzaY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35r2qbWtHaw6mY57xX/2j/69q+5v//HUiItqD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\nZ7xoP++cS2XcM8DBS1yig1a9xcwJb+ucUHFywgR31DQeOWOCPDIFo63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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da39d64a8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 12210... Discriminator Loss: 1.4476... Generator Loss: 1.0213\n",
"Epoch 1/1-Step 12220... Discriminator Loss: 1.1862... Generator Loss: 0.8651\n",
"Epoch 1/1-Step 12230... Discriminator Loss: 1.4644... Generator Loss: 0.7877\n",
"Epoch 1/1-Step 12240... Discriminator Loss: 1.3565... Generator Loss: 0.9463\n",
"Epoch 1/1-Step 12250... Discriminator Loss: 1.2269... Generator Loss: 0.8404\n",
"Epoch 1/1-Step 12260... Discriminator Loss: 1.2739... Generator Loss: 0.8159\n",
"Epoch 1/1-Step 12270... Discriminator Loss: 1.4365... Generator Loss: 0.6559\n",
"Epoch 1/1-Step 12280... Discriminator Loss: 1.4702... Generator Loss: 1.1371\n",
"Epoch 1/1-Step 12290... Discriminator Loss: 1.3055... Generator Loss: 1.1993\n",
"Epoch 1/1-Step 12300... Discriminator Loss: 1.2517... Generator Loss: 0.7576\n"
]
},
{
"data": {
"image/png": 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Qo7rpePPm7dvLzsPqGyL6u0T0dWvt/wwf+W463rx9Qu08UP97ieg/JKKvGGP+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\ngdYmYk8hE2vu+IoH12jyTTWOll30m52RAAl3Q52uJq3wRE843pseLLQ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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da415fb38>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 12310... Discriminator Loss: 1.6214... Generator Loss: 0.8081\n",
"Epoch 1/1-Step 12320... Discriminator Loss: 1.2923... Generator Loss: 1.3314\n",
"Epoch 1/1-Step 12330... Discriminator Loss: 1.1905... Generator Loss: 0.8463\n",
"Epoch 1/1-Step 12340... Discriminator Loss: 1.6069... Generator Loss: 0.6199\n",
"Epoch 1/1-Step 12350... Discriminator Loss: 1.4185... Generator Loss: 0.7690\n",
"Epoch 1/1-Step 12360... Discriminator Loss: 1.2614... Generator Loss: 0.6309\n",
"Epoch 1/1-Step 12370... Discriminator Loss: 1.2238... Generator Loss: 0.7949\n",
"Epoch 1/1-Step 12380... Discriminator Loss: 1.3518... Generator Loss: 0.9461\n",
"Epoch 1/1-Step 12390... Discriminator Loss: 1.3218... Generator Loss: 0.7197\n",
"Epoch 1/1-Step 12400... Discriminator Loss: 1.3029... Generator Loss: 0.8115\n"
]
},
{
"data": {
"image/png": 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Fj1w3HWfOPqZ2Eqj/OSL6a0T0LaXUN3jff0sfoJtOmqbUY/g7Swys3N6TGPdB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\nFdnGJgKn/+i4/5wxFgWTAp011SrPmMSVNdXwT5rEiCVDmZXy6rdaxpV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"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da344b908>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 12410... Discriminator Loss: 1.3318... Generator Loss: 0.6683\n",
"Epoch 1/1-Step 12420... Discriminator Loss: 1.4617... Generator Loss: 0.9376\n",
"Epoch 1/1-Step 12430... Discriminator Loss: 1.4149... Generator Loss: 0.7557\n",
"Epoch 1/1-Step 12440... Discriminator Loss: 1.3193... Generator Loss: 0.6324\n",
"Epoch 1/1-Step 12450... Discriminator Loss: 1.2309... Generator Loss: 1.0568\n",
"Epoch 1/1-Step 12460... Discriminator Loss: 1.4777... Generator Loss: 0.8648\n",
"Epoch 1/1-Step 12470... Discriminator Loss: 1.3108... Generator Loss: 1.0013\n",
"Epoch 1/1-Step 12480... Discriminator Loss: 1.2289... Generator Loss: 0.7481\n",
"Epoch 1/1-Step 12490... Discriminator Loss: 1.5573... Generator Loss: 0.8947\n",
"Epoch 1/1-Step 12500... Discriminator Loss: 1.5264... Generator Loss: 0.9437\n"
]
},
{
"data": {
"image/png": 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UWt8iot/k/ztz5uw5sY+F+lrr/1cpdf1Dq3+CiP40L/8CEf0WEf2lj9uX53nUYoKi2zZQ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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da38b0860>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 12510... Discriminator Loss: 1.2938... Generator Loss: 0.7327\n",
"Epoch 1/1-Step 12520... Discriminator Loss: 1.4593... Generator Loss: 0.9380\n",
"Epoch 1/1-Step 12530... Discriminator Loss: 1.4106... Generator Loss: 0.7292\n",
"Epoch 1/1-Step 12540... Discriminator Loss: 1.3427... Generator Loss: 0.8795\n",
"Epoch 1/1-Step 12550... Discriminator Loss: 1.2490... Generator Loss: 0.7984\n",
"Epoch 1/1-Step 12560... Discriminator Loss: 1.3427... Generator Loss: 0.7317\n",
"Epoch 1/1-Step 12570... Discriminator Loss: 1.5050... Generator Loss: 0.9468\n",
"Epoch 1/1-Step 12580... Discriminator Loss: 1.2578... Generator Loss: 0.9158\n",
"Epoch 1/1-Step 12590... Discriminator Loss: 1.2107... Generator Loss: 0.7373\n",
"Epoch 1/1-Step 12600... Discriminator Loss: 1.2843... Generator Loss: 0.8304\n"
]
},
{
"data": {
"image/png": 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jU9/QIntHK8sadz8e88vv7l2dVdtQ7vnaty8TEdHTFY2xdxFoBiTEcca3jliD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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1da3187668>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1-Step 12610... Discriminator Loss: 1.5333... Generator Loss: 0.8049\n",
"Epoch 1/1-Step 12620... Discriminator Loss: 1.6096... Generator Loss: 0.7886\n",
"Epoch 1/1-Step 12630... Discriminator Loss: 1.4343... Generator Loss: 0.9134\n",
"Epoch 1/1-Step 12640... Discriminator Loss: 1.6045... Generator Loss: 0.5781\n",
"Epoch 1/1-Step 12650... Discriminator Loss: 1.3478... Generator Loss: 0.8706\n",
"Epoch 1/1-Step 12660... Discriminator Loss: 1.5313... Generator Loss: 0.9332\n"
]
}
],
"source": [
"batch_size = 16\n",
"z_dim = 100\n",
"learning_rate = 0.0003\n",
"beta1 = 0.5\n",
"\n",
"\n",
"\"\"\"\n",
"DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE\n",
"\"\"\"\n",
"epochs = 1\n",
"\n",
"celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))\n",
"with tf.Graph().as_default():\n",
" train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,\n",
" celeba_dataset.shape, celeba_dataset.image_mode)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Submitting This Project\n",
"When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as \"dlnd_face_generation.ipynb\" and save it as a HTML file under \"File\" -> \"Download as\". Include the \"helper.py\" and \"problem_unittests.py\" files in your submission."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.3"
}
},
"nbformat": 4,
"nbformat_minor": 1
}